diff --git a/.devops/intel.Dockerfile b/.devops/intel.Dockerfile index 8e830d4625..3d1abe612f 100644 --- a/.devops/intel.Dockerfile +++ b/.devops/intel.Dockerfile @@ -33,10 +33,10 @@ RUN mkdir -p /app/full \ FROM intel/deep-learning-essentials:$ONEAPI_VERSION AS base -ARG IGC_VERSION=v2.30.1 -ARG IGC_VERSION_FULL=2_2.30.1+20950 -ARG COMPUTE_RUNTIME_VERSION=26.09.37435.1 -ARG COMPUTE_RUNTIME_VERSION_FULL=26.09.37435.1-0 +ARG IGC_VERSION=v2.32.7 +ARG IGC_VERSION_FULL=2_2.32.7+21184 +ARG COMPUTE_RUNTIME_VERSION=26.14.37833.4 +ARG COMPUTE_RUNTIME_VERSION_FULL=26.14.37833.4-0 ARG IGDGMM_VERSION=22.9.0 RUN mkdir /tmp/neo/ && cd /tmp/neo/ \ && wget https://github.com/intel/intel-graphics-compiler/releases/download/$IGC_VERSION/intel-igc-core-${IGC_VERSION_FULL}_amd64.deb \ diff --git a/.devops/nix/package.nix b/.devops/nix/package.nix index 4e5fd00a55..30355d2fc9 100644 --- a/.devops/nix/package.nix +++ b/.devops/nix/package.nix @@ -103,6 +103,7 @@ let vulkan-headers vulkan-loader shaderc + spirv-headers ]; in @@ -146,7 +147,6 @@ effectiveStdenv.mkDerivation (finalAttrs: { ninja pkg-config git - spirv-headers ] ++ optionals useCuda [ cudaPackages.cuda_nvcc diff --git a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml index b55bc1a3f8..51ef87a590 100644 --- a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml +++ b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml @@ -12,6 +12,8 @@ body: after recreating the CMake build directory and with `-DGGML_CCACHE=OFF`. If the compilation succeeds with ccache disabled you should be able to permanently fix the issue by clearing `~/.cache/ccache` (on Linux). + + Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). - type: textarea id: commit attributes: diff --git a/.github/ISSUE_TEMPLATE/011-bug-results.yml b/.github/ISSUE_TEMPLATE/011-bug-results.yml index 653d75e168..c7001edf05 100644 --- a/.github/ISSUE_TEMPLATE/011-bug-results.yml +++ b/.github/ISSUE_TEMPLATE/011-bug-results.yml @@ -1,5 +1,5 @@ name: Bug (model use) -description: Something goes wrong when using a model (in general, not specific to a single llama.cpp module). +description: Something goes wrong when running a model (crashes, garbled outputs, etc.). title: "Eval bug: " labels: ["bug-unconfirmed", "model evaluation"] body: @@ -12,6 +12,8 @@ body: If you encountered the issue while using an external UI (e.g. ollama), please reproduce your issue using one of the examples/binaries in this repository. The `llama-completion` binary can be used for simple and reproducible model inference. + + Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). - type: textarea id: version attributes: diff --git a/.github/ISSUE_TEMPLATE/019-bug-misc.yml b/.github/ISSUE_TEMPLATE/019-bug-misc.yml index 8e867e7f60..831c98eb63 100644 --- a/.github/ISSUE_TEMPLATE/019-bug-misc.yml +++ b/.github/ISSUE_TEMPLATE/019-bug-misc.yml @@ -10,6 +10,8 @@ body: This issue template is intended for miscellaneous bugs that don't fit into any other category. If you encountered the issue while using an external UI (e.g. ollama), please reproduce your issue using one of the examples/binaries in this repository. + + Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). - type: textarea id: version attributes: diff --git a/.github/ISSUE_TEMPLATE/020-enhancement.yml b/.github/ISSUE_TEMPLATE/020-enhancement.yml index cee1446f5a..fdca622ae9 100644 --- a/.github/ISSUE_TEMPLATE/020-enhancement.yml +++ b/.github/ISSUE_TEMPLATE/020-enhancement.yml @@ -8,6 +8,8 @@ body: value: | [Please post your idea first in Discussion if there is not yet a consensus for this enhancement request. This will help to keep this issue tracker focused on enhancements that the community has agreed needs to be implemented.](https://github.com/ggml-org/llama.cpp/discussions/categories/ideas) + Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). + - type: checkboxes id: prerequisites attributes: diff --git a/.github/ISSUE_TEMPLATE/030-research.yml b/.github/ISSUE_TEMPLATE/030-research.yml index e774550d59..172edc1326 100644 --- a/.github/ISSUE_TEMPLATE/030-research.yml +++ b/.github/ISSUE_TEMPLATE/030-research.yml @@ -8,6 +8,8 @@ body: value: | Don't forget to check for any [duplicate research issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3A%22research+%F0%9F%94%AC%22) + Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). + - type: checkboxes id: research-stage attributes: diff --git a/.github/ISSUE_TEMPLATE/040-refactor.yml b/.github/ISSUE_TEMPLATE/040-refactor.yml index 2fe94e26c6..efd10d79d9 100644 --- a/.github/ISSUE_TEMPLATE/040-refactor.yml +++ b/.github/ISSUE_TEMPLATE/040-refactor.yml @@ -9,6 +9,8 @@ body: Don't forget to [check for existing refactor issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3Arefactoring) in case it's already covered. Also you may want to check [Pull request refactor label as well](https://github.com/ggml-org/llama.cpp/pulls?q=is%3Aopen+is%3Apr+label%3Arefactoring) for duplicates too. + Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). + - type: textarea id: background-description attributes: diff --git a/.github/workflows/build-virtgpu.yml b/.github/workflows/build-virtgpu.yml new file mode 100644 index 0000000000..5b740590d6 --- /dev/null +++ b/.github/workflows/build-virtgpu.yml @@ -0,0 +1,50 @@ +name: CI (virtgpu) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-virtgpu.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/build-virtgpu.yml', + 'ggml/src/ggml-virtgpu/**' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +jobs: + ubuntu-24-virtgpu: + runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install -y build-essential libdrm-dev pkg-config libssl-dev + + - name: Build + id: cmake_build + run: | + cmake -B build \ + -DGGML_VIRTGPU=ON \ + -DGGML_VIRTGPU_BACKEND=ON + cmake --build build --config Release -j $(nproc) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 21eb4d97b3..65fa24f446 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -456,7 +456,8 @@ jobs: run: | cd build # This is using llvmpipe and runs slower than other backends - ctest -L main --verbose --timeout 900 + # test-backend-ops is too slow on llvmpipe, skip it + ctest -L main -E test-backend-ops --verbose --timeout 900 ubuntu-24-webgpu-wasm: runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} diff --git a/.github/workflows/code-style.yml b/.github/workflows/code-style.yml new file mode 100644 index 0000000000..c88396c0a7 --- /dev/null +++ b/.github/workflows/code-style.yml @@ -0,0 +1,51 @@ +name: Code Style Checker + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + pull_request: + branches: + - master + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +jobs: + model-naming: + runs-on: ubuntu-slim + steps: + - uses: actions/checkout@v6 + - name: Check model naming conventions + run: | + python3 - << 'EOF' + import re, os, sys + + pairs = re.findall( + r'case\s+(LLM_ARCH_\w+)\s*:\s*\n\s+return new (llama_model_\w+)\s*\(', + open("src/llama-model.cpp").read()) + + errors = [] + for arch, cls in pairs: + suffix = arch[len("LLM_ARCH_"):] + csuffix = cls[len("llama_model_"):] + fname = csuffix.replace("_", "-") + ".cpp" + + if not re.fullmatch(r'[A-Z][A-Z0-9_]*', suffix): + errors.append(f"{arch}: suffix not upper snake case, example: LLM_ARCH_MY_MODEL") + + if not re.fullmatch(r'[a-z][a-z0-9_]*', csuffix): + errors.append(f"{arch}: class suffix not lower snake case, example: llama_model_my_model") + + elif suffix.lower() != csuffix: + errors.append(f"{arch}: arch/class name mismatch, expected class 'llama_model_{suffix.lower()}' but got '{cls}'") + + elif not os.path.isfile(f"src/models/{fname}"): + errors.append(f"{arch}: expects model file name to be src/models/{fname}, but not found") + + if errors: + print('\n'.join(f" - {e}" for e in errors)); sys.exit(1) + print(f"OK: {len(pairs)} mappings validated.") + EOF diff --git a/.github/workflows/editorconfig.yml b/.github/workflows/editorconfig.yml index a2d4d0a3a7..53f6a0ccfd 100644 --- a/.github/workflows/editorconfig.yml +++ b/.github/workflows/editorconfig.yml @@ -2,11 +2,6 @@ name: EditorConfig Checker on: workflow_dispatch: # allows manual triggering - inputs: - create_release: - description: 'Create new release' - required: true - type: boolean push: branches: - master diff --git a/.github/workflows/gguf-publish.yml b/.github/workflows/gguf-publish.yml index a1fba046a9..fb8eab3cdb 100644 --- a/.github/workflows/gguf-publish.yml +++ b/.github/workflows/gguf-publish.yml @@ -29,10 +29,10 @@ jobs: uses: actions/setup-python@v6 with: python-version: '3.11' + pip-install: poetry==2.4.0 - name: Install dependencies run: | cd gguf-py - python -m pip install poetry==2.3.2 poetry install - name: Build package diff --git a/.github/workflows/python-type-check.yml b/.github/workflows/python-type-check.yml index dc7aebe24c..cbeeb39d05 100644 --- a/.github/workflows/python-type-check.yml +++ b/.github/workflows/python-type-check.yml @@ -31,7 +31,7 @@ jobs: uses: actions/setup-python@v6 with: python-version: "3.11" - pip-install: -r requirements/requirements-all.txt ty==0.0.26 + pip-install: -r requirements/requirements-all.txt ty==0.0.35 # - name: Type-check with Pyright # uses: jakebailey/pyright-action@v2 # with: diff --git a/.gitignore b/.gitignore index 68a8e05732..11358c7285 100644 --- a/.gitignore +++ b/.gitignore @@ -105,9 +105,12 @@ __pycache__/ */poetry.lock poetry.toml +poetry.lock +uv.lock # Nix +flake.lock /result # Test binaries diff --git a/.pi/gg/SYSTEM.md b/.pi/gg/SYSTEM.md index 5de6fe4eb9..727a850b18 100644 --- a/.pi/gg/SYSTEM.md +++ b/.pi/gg/SYSTEM.md @@ -4,6 +4,7 @@ General: - By very precise and concise when writing code, comments, explanations, etc. - PR and commit titles format: ` : `. Lookup recents for examples - Don't try to build or run the code unless you are explicitly asked to do so +- Use the `gh` CLI tool when querying PRs, issues, or other GitHub resources Coding: - When in doubt, always refer to the CONTRIBUTING.md file of the project diff --git a/CODEOWNERS b/CODEOWNERS index eed43d762c..a4395969fe 100644 --- a/CODEOWNERS +++ b/CODEOWNERS @@ -76,6 +76,7 @@ /ggml/src/ggml-vulkan/ @ggml-org/ggml-vulkan /ggml/src/ggml-webgpu/ @ggml-org/ggml-webgpu /ggml/src/ggml-zdnn/ @ggml-org/ggml-zdnn @Andreas-Krebbel @AlekseiNikiforovIBM +/ggml/src/ggml-zendnn/ @avinashcpandey @Jiten1parmar @z-vishal /ggml/src/ggml.c @ggerganov /ggml/src/ggml.cpp @ggerganov /ggml/src/gguf.cpp @JohannesGaessler @Green-Sky diff --git a/README.md b/README.md index be23abcea6..de93f17eb7 100644 --- a/README.md +++ b/README.md @@ -529,6 +529,7 @@ To learn more about model quantization, [read this documentation](tools/quantize - [How to build](docs/build.md) - [Running on Docker](docs/docker.md) - [Build on Android](docs/android.md) +- [Multi-GPU usage](docs/multi-gpu.md) - [Performance troubleshooting](docs/development/token_generation_performance_tips.md) - [GGML tips & tricks](https://github.com/ggml-org/llama.cpp/wiki/GGML-Tips-&-Tricks) diff --git a/common/arg.cpp b/common/arg.cpp index 943d0766fb..75a4d38d3d 100644 --- a/common/arg.cpp +++ b/common/arg.cpp @@ -248,6 +248,8 @@ std::vector<std::string> common_arg::get_env() const { // Helper function to parse tensor buffer override strings static void parse_tensor_buffer_overrides(const std::string & value, std::vector<llama_model_tensor_buft_override> & overrides) { + ggml_backend_load_all(); + std::map<std::string, ggml_backend_buffer_type_t> buft_list; for (size_t i = 0; i < ggml_backend_dev_count(); ++i) { auto * dev = ggml_backend_dev_get(i); @@ -355,8 +357,7 @@ static handle_model_result common_params_handle_model(struct common_params_model auto download_result = common_download_model(model, opts, true); if (download_result.model_path.empty()) { - LOG_ERR("error: failed to download model from Hugging Face\n"); - exit(1); + throw std::runtime_error("failed to download model from Hugging Face"); } model.name = model.hf_repo; @@ -378,8 +379,7 @@ static handle_model_result common_params_handle_model(struct common_params_model opts.offline = offline; auto download_result = common_download_model(model, opts); if (download_result.model_path.empty()) { - LOG_ERR("error: failed to download model from %s\n", model.url.c_str()); - exit(1); + throw std::runtime_error("failed to download model from " + model.url); } } @@ -425,10 +425,33 @@ static bool parse_bool_value(const std::string & value) { } } +[[noreturn]] static void arg_removed(const std::string & msg) { + throw std::invalid_argument("the argument has been removed. " + msg); +} + // // CLI argument parsing functions // +void common_params_handle_models(common_params & params, llama_example curr_ex) { + auto res = common_params_handle_model(params.model, params.hf_token, params.offline); + if (params.no_mmproj) { + params.mmproj = {}; + } else if (res.found_mmproj && params.mmproj.path.empty() && params.mmproj.url.empty()) { + // optionally, handle mmproj model when -hf is specified + params.mmproj = res.mmproj; + } + // only download mmproj if the current example is using it + for (const auto & ex : mmproj_examples) { + if (curr_ex == ex) { + common_params_handle_model(params.mmproj, params.hf_token, params.offline); + break; + } + } + common_params_handle_model(params.speculative.draft.mparams, params.hf_token, params.offline); + common_params_handle_model(params.vocoder.model, params.hf_token, params.offline); +} + static bool common_params_parse_ex(int argc, char ** argv, common_params_context & ctx_arg) { common_params & params = ctx_arg.params; @@ -582,22 +605,7 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context // handle model and download if (!skip_model_download) { - auto res = common_params_handle_model(params.model, params.hf_token, params.offline); - if (params.no_mmproj) { - params.mmproj = {}; - } else if (res.found_mmproj && params.mmproj.path.empty() && params.mmproj.url.empty()) { - // optionally, handle mmproj model when -hf is specified - params.mmproj = res.mmproj; - } - // only download mmproj if the current example is using it - for (const auto & ex : mmproj_examples) { - if (ctx_arg.ex == ex) { - common_params_handle_model(params.mmproj, params.hf_token, params.offline); - break; - } - } - common_params_handle_model(params.speculative.draft.mparams, params.hf_token, params.offline); - common_params_handle_model(params.vocoder.model, params.hf_token, params.offline); + common_params_handle_models(params, ctx_arg.ex); } // model is required (except for server) @@ -616,10 +624,6 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context for (auto & seq_breaker : params.sampling.dry_sequence_breakers) { string_process_escapes(seq_breaker); } - for (auto & pair : params.speculative.draft.replacements) { - string_process_escapes(pair.first); - string_process_escapes(pair.second); - } } if (!params.kv_overrides.empty()) { @@ -803,6 +807,7 @@ static std::vector<ggml_backend_dev_t> parse_device_list(const std::string & val if (dev_names.size() == 1 && dev_names[0] == "none") { devices.push_back(nullptr); } else { + ggml_backend_load_all(); for (const auto & device : dev_names) { auto * dev = ggml_backend_dev_by_name(device.c_str()); if (!dev || ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) { @@ -820,6 +825,7 @@ static void add_rpc_devices(const std::string & servers) { if (rpc_servers.empty()) { throw std::invalid_argument("no RPC servers specified"); } + ggml_backend_load_all(); ggml_backend_reg_t rpc_reg = ggml_backend_reg_by_name("RPC"); if (!rpc_reg) { throw std::invalid_argument("failed to find RPC backend"); @@ -1016,9 +1022,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex params.use_color = tty_can_use_colors(); - // load dynamic backends - ggml_backend_load_all(); - common_params_context ctx_arg(params); ctx_arg.print_usage = print_usage; ctx_arg.ex = ex; @@ -2218,7 +2221,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex if (llama_supports_rpc()) { add_opt(common_arg( {"--rpc"}, "SERVERS", - "comma separated list of RPC servers (host:port)", + "comma-separated list of RPC servers (host:port)", [](common_params & params, const std::string & value) { add_rpc_devices(value); GGML_UNUSED(params); @@ -2275,6 +2278,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex {"--list-devices"}, "print list of available devices and exit", [](common_params &) { + ggml_backend_load_all(); std::vector<ggml_backend_dev_t> devices; for (size_t i = 0; i < ggml_backend_dev_count(); ++i) { auto * dev = ggml_backend_dev_get(i); @@ -2864,7 +2868,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex {"--tools"}, "TOOL1,TOOL2,...", "experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)\n" "specify \"all\" to enable all tools\n" - "available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff", + "available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff, get_datetime", [](common_params & params, const std::string & value) { params.server_tools = parse_csv_row(value); } @@ -3380,7 +3384,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI})); add_opt(common_arg( {"--spec-draft-poll", "--poll-draft"}, "<0|1>", - "Use polling to wait for draft model work (default: same as --poll])", + "Use polling to wait for draft model work (default: same as --poll)", [](common_params & params, int value) { params.speculative.draft.cpuparams.poll = value; } @@ -3499,7 +3503,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_N_MIN")); add_opt(common_arg( - {"--spec--draft-p-split", "--draft-p-split"}, "P", + {"--spec-draft-p-split", "--draft-p-split"}, "P", string_format("speculative decoding split probability (default: %.2f)", (double)params.speculative.draft.p_split), [](common_params & params, const std::string & value) { params.speculative.draft.p_split = std::stof(value); @@ -3512,13 +3516,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex params.speculative.draft.p_min = std::stof(value); } ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_P_MIN")); - add_opt(common_arg( - {"--spec-draft-ctx-size", "-cd", "--ctx-size-draft"}, "N", - string_format("size of the prompt context for the draft model (default: %d, 0 = loaded from model)", params.speculative.draft.n_ctx), - [](common_params & params, int value) { - params.speculative.draft.n_ctx = value; - } - ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_CTX_SIZE")); add_opt(common_arg( {"--spec-draft-device", "-devd", "--device-draft"}, "<dev1,dev2,..>", "comma-separated list of devices to use for offloading the draft model (none = don't offload)\n" @@ -3555,32 +3552,12 @@ common_params_context common_params_parser_init(common_params & params, llama_ex } ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_MODEL")); add_opt(common_arg( - {"--spec-draft-replace", "--spec-replace"}, "TARGET", "DRAFT", - "translate the string in TARGET into DRAFT if the draft model and main model are not compatible", - [](common_params & params, const std::string & tgt, const std::string & dft) { - params.speculative.draft.replacements.push_back({ tgt, dft }); - } - ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI})); - add_opt(common_arg( - {"--spec-type"}, "[none|ngram-cache|ngram-simple|ngram-map-k|ngram-map-k4v|ngram-mod]", - string_format("type of speculative decoding to use when no draft model is provided (default: %s)\n", - common_speculative_type_to_str(params.speculative.type).c_str()), + {"--spec-type"}, common_speculative_all_types_str(), + string_format("comma-separated list of types of speculative decoding to use (default: %s)\n", + common_speculative_type_name_str(params.speculative.types).c_str()), [](common_params & params, const std::string & value) { - if (value == "none") { - params.speculative.type = COMMON_SPECULATIVE_TYPE_NONE; - } else if (value == "ngram-cache") { - params.speculative.type = COMMON_SPECULATIVE_TYPE_NGRAM_CACHE; - } else if (value == "ngram-simple") { - params.speculative.type = COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE; - } else if (value == "ngram-map-k") { - params.speculative.type = COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K; - } else if (value == "ngram-map-k4v") { - params.speculative.type = COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V; - } else if (value == "ngram-mod") { - params.speculative.type = COMMON_SPECULATIVE_TYPE_NGRAM_MOD; - } else { - throw std::invalid_argument("unknown speculative decoding type without draft model"); - } + const auto enabled_types = string_split<std::string>(value, ','); + params.speculative.types = common_speculative_types_from_names(enabled_types); } ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_TYPE")); add_opt(common_arg( @@ -3715,35 +3692,35 @@ common_params_context common_params_parser_init(common_params & params, llama_ex {"--draft", "--draft-n", "--draft-max"}, "N", "the argument has been removed. use --spec-draft-n-max or --spec-ngram-mod-n-max", [](common_params & /*params*/, int /*value*/) { - throw std::invalid_argument("the argument has been removed. use --spec-draft-n-max or --spec-ngram-mod-n-max"); + arg_removed("use --spec-draft-n-max or --spec-ngram-mod-n-max"); } ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_DRAFT_MAX")); add_opt(common_arg( {"--draft-min", "--draft-n-min"}, "N", "the argument has been removed. use --spec-draft-n-min or --spec-ngram-mod-n-min", [](common_params & /*params*/, int /*value*/) { - throw std::invalid_argument("the argument has been removed. use --spec-draft-n-min or --spec-ngram-mod-n-min"); + arg_removed("use --spec-draft-n-min or --spec-ngram-mod-n-min"); } ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_DRAFT_MIN")); add_opt(common_arg( {"--spec-ngram-size-n"}, "N", "the argument has been removed. use the respective --spec-ngram-*-size-n or --spec-ngram-mod-n-match", [](common_params & /*params*/, int /*value*/) { - throw std::invalid_argument("the argument has been removed. use the respective --spec-ngram-*-size-n"); + arg_removed("use the respective --spec-ngram-*-size-n"); } ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER})); add_opt(common_arg( {"--spec-ngram-size-m"}, "N", "the argument has been removed. use the respective --spec-ngram-*-size-m", [](common_params & /*params*/, int /*value*/) { - throw std::invalid_argument("the argument has been removed. use the respective --spec-ngram-*-size-m"); + arg_removed("use the respective --spec-ngram-*-size-m"); } ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER})); add_opt(common_arg( {"--spec-ngram-min-hits"}, "N", "the argument has been removed. use the respective --spec-ngram-*-min-hits", [](common_params & /*params*/, int /*value*/) { - throw std::invalid_argument("the argument has been removed. use the respective --spec-ngram-*-min-hits"); + arg_removed("use the respective --spec-ngram-*-min-hits"); } ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER})); @@ -3794,7 +3771,10 @@ common_params_context common_params_parser_init(common_params & params, llama_ex ).set_examples({ LLAMA_EXAMPLE_DIFFUSION })); add_opt(common_arg( {"--diffusion-algorithm"}, "N", - string_format("diffusion algorithm: 0=ORIGIN, 1=ENTROPY_BASED, 2=MARGIN_BASED, 3=RANDOM, 4=LOW_CONFIDENCE (default: %d)", params.diffusion.algorithm), + string_format( + "diffusion algorithm: 0=DIFFUSION_ALGORITHM_ORIGIN, 1=DIFFUSION_ALGORITHM_ENTROPY_BASED, " + "2=DIFFUSION_ALGORITHM_MARGIN_BASED, 3=DIFFUSION_ALGORITHM_RANDOM, " + "4=DIFFUSION_ALGORITHM_CONFIDENCE_BASED (default: %d)", params.diffusion.algorithm), [](common_params & params, int value) { params.diffusion.algorithm = value; } ).set_examples({ LLAMA_EXAMPLE_DIFFUSION })); add_opt(common_arg( @@ -4066,7 +4046,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex {"--spec-default"}, string_format("enable default speculative decoding config"), [](common_params & params) { - params.speculative.type = COMMON_SPECULATIVE_TYPE_NGRAM_MOD; + params.speculative.types = { COMMON_SPECULATIVE_TYPE_NGRAM_MOD }; params.speculative.ngram_mod.n_match = 24; params.speculative.ngram_mod.n_min = 48; params.speculative.ngram_mod.n_max = 64; diff --git a/common/arg.h b/common/arg.h index 2c2a4e38a2..2a85f09f3e 100644 --- a/common/arg.h +++ b/common/arg.h @@ -129,5 +129,8 @@ bool common_params_to_map(int argc, char ** argv, llama_example ex, std::map<com // see: https://github.com/ggml-org/llama.cpp/issues/18163 void common_params_add_preset_options(std::vector<common_arg> & args); +// Populate model paths (main model, mmproj, etc) from -hf if necessary +void common_params_handle_models(common_params & params, llama_example curr_ex); + // initialize argument parser context - used by test-arg-parser and preset common_params_context common_params_parser_init(common_params & params, llama_example ex, void(*print_usage)(int, char **) = nullptr); diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp index 453559a4b0..6021fc4ede 100644 --- a/common/chat-auto-parser-generator.cpp +++ b/common/chat-auto-parser-generator.cpp @@ -136,10 +136,10 @@ common_peg_parser analyze_reasoning::build_parser(parser_build_context & ctx) co if (!end.empty()) { if (!start.empty()) { // Standard tag-based: optional(<think>reasoning</think>) - return p.optional(start + p.reasoning(p.until(end)) + end + p.space()); + return p.optional(p.optspace(start) + p.reasoning(p.until(trim_whitespace(end))) + p.optspace(end)); } // Delimiter-style (empty start) - return p.optional(p.reasoning(p.until(end)) + end + p.space()); + return p.optional(p.reasoning(p.until(trim_whitespace(end))) + p.optspace(end)); } } @@ -186,7 +186,6 @@ common_peg_parser analyze_tools::build_parser(parser_build_context & ctx) const common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_context & ctx) const { auto & p = ctx.p; const auto & inputs = ctx.inputs; - bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; // Build effective field names with dot notation if function_field is set std::string name_field = format.name_field; @@ -225,8 +224,7 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont tool_start = format.per_call_start; } - return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(p.until(tool_start)))) + tools_parser + - p.end(); + return ctx.reasoning_parser + p.optional(p.content(p.until(tool_start))) + tools_parser + p.end(); } common_peg_parser analyze_tools::build_func_parser(common_chat_peg_builder & p, const std::string & name, @@ -270,7 +268,6 @@ common_peg_parser analyze_tools::build_func_parser(common_chat_peg_builder & p, common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context & ctx) const { auto & p = ctx.p; const auto & inputs = ctx.inputs; - bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; common_peg_parser tool_choice = p.choice(); @@ -336,14 +333,12 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context std::string trigger_marker = !format.section_start.empty() ? format.section_start : format.per_call_start; auto content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker); - return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls + - p.end(); + return ctx.reasoning_parser + p.optional(p.content(content_before_tools)) + tool_calls + p.end(); } common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_context & ctx) const { auto & p = ctx.p; const auto & inputs = ctx.inputs; - bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; auto until_suffix = p.rule("until-suffix", p.until(arguments.value_suffix)); @@ -374,9 +369,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte arguments.name_suffix) + arguments.value_prefix + (schema_info.resolves_to_string(param_schema) ? - p.tool_arg_string_value(p.schema(until_suffix, - "tool-" + name + "-arg-" + param_name + "-schema", - param_schema, true)) : + p.tool_arg_string_value(until_suffix) : p.tool_arg_json_value(p.schema( p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, false)) + p.space()) + @@ -471,8 +464,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte std::string trigger_marker = !format.section_start.empty() ? format.section_start : format.per_call_start; auto content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker); - return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls + - p.end(); + return ctx.reasoning_parser + p.optional(p.content(content_before_tools)) + tool_calls + p.end(); } } // namespace autoparser diff --git a/common/chat-diff-analyzer.cpp b/common/chat-diff-analyzer.cpp index 264ace4627..9c7c9678ac 100644 --- a/common/chat-diff-analyzer.cpp +++ b/common/chat-diff-analyzer.cpp @@ -342,7 +342,7 @@ void analyze_reasoning::compare_thinking_enabled() { if (left_trimmed.empty() && !diff.right.empty()) { if (!right_trimmed.empty() && string_ends_with(comparison->output_B, right_trimmed)) { if (start.empty()) { - start = trim_leading_whitespace(diff.right); + start = diff.right; mode = reasoning_mode::TAG_BASED; } } @@ -353,7 +353,7 @@ void analyze_reasoning::compare_thinking_enabled() { if (seg.size() >= 2 && seg[seg.size() - 1].value == left_trimmed && seg[seg.size() - 2].type == segment_type::MARKER) { start = seg[seg.size() - 2].value; } - end = trim_trailing_whitespace(diff.left); + end = diff.left; mode = reasoning_mode::TAG_BASED; } } @@ -445,14 +445,14 @@ void analyze_reasoning::compare_reasoning_scope() { auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B); if (result.result.success()) { start = result.tags["pre"]; - end = trim_trailing_whitespace(result.tags["post"]); + end = result.tags["post"]; } else { auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) { return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space()))); }); result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B); if (result.result.success()) { - end = trim_trailing_whitespace(result.tags["post"]); + end = result.tags["post"]; } else { LOG_DBG(ANSI_ORANGE "%s: Unable to extract reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__); mode = reasoning_mode::NONE; diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp index 56eb567df0..a4818859a6 100644 --- a/common/chat-peg-parser.cpp +++ b/common/chat-peg-parser.cpp @@ -816,6 +816,32 @@ common_peg_parser common_chat_peg_builder::prefix(const std::string & s, const s return literal(s.substr(0, s.rfind(delimiter))); } +common_peg_parser common_chat_peg_builder::optspace(const std::string & tag) { + auto parser = eps(); + size_t end_of_prefix_space = tag.size(); + size_t start_of_suffix_space = tag.size(); + for (size_t i = 0; i < tag.size(); i++) { + if (!std::isspace(tag[i])) { + end_of_prefix_space = i; + break; + } + } + for (size_t i = tag.size(); i > 0; i--) { + if (!std::isspace(tag[i - 1])) { + start_of_suffix_space = i; + break; + } + } + for (size_t i = 0; i < end_of_prefix_space; i++) { + parser += optional(literal(std::string(1, tag[i]))); + } + parser += literal(tag.substr(end_of_prefix_space, start_of_suffix_space - end_of_prefix_space)); + for (size_t i = start_of_suffix_space; i < tag.size(); i++) { + parser += optional(literal(std::string(1, tag[i]))); + } + return parser; +} + common_peg_parser common_chat_peg_builder::standard_json_tools( const std::string & section_start, const std::string & section_end, diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h index 1ea3eb7eb8..c684d77356 100644 --- a/common/chat-peg-parser.h +++ b/common/chat-peg-parser.h @@ -96,6 +96,9 @@ class common_chat_peg_builder : public common_peg_parser_builder { // Return a parser that parses the prefix of a string, up to a given delimiter. common_peg_parser prefix(const std::string & s, const std::string & delimiter = {}); + // Return a parser that parses all elements of tag, but leading and trailing spaces are optional + common_peg_parser optspace(const std::string & tag); + // Legacy-compatible helper for building standard JSON tool calls // Used by tests and manual parsers // name_key/args_key: JSON key names for function name and arguments diff --git a/common/chat.cpp b/common/chat.cpp index 159d625de9..70b9f5dc2c 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -80,7 +80,7 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const { if (!content.empty()) { jmsg["content"] = content; } else if (!content_parts.empty()) { - if (concat_typed_text) { + if (concat_typed_text || contains_media()) { std::string text; bool last_was_media_marker = false; // join parts with newline, do not add newline before or after media markers @@ -2116,22 +2116,38 @@ std::optional<common_chat_params> common_chat_try_specialized_template( return std::nullopt; } +static std::string common_chat_templates_generation_prompt(const common_chat_template & tmpl, const autoparser::generation_params & inputs) { + autoparser::generation_params params = inputs; + params.add_generation_prompt = false; + std::string no_gen_prompt = common_chat_template_direct_apply_impl(tmpl, params); + params.add_generation_prompt = true; + std::string gen_prompt = common_chat_template_direct_apply_impl(tmpl, params); + + size_t prefix_len = 0; + size_t min_size = std::min(no_gen_prompt.size(), gen_prompt.size()); + while (prefix_len < min_size && no_gen_prompt[prefix_len] == gen_prompt[prefix_len]) { + prefix_len++; + } + return gen_prompt.substr(prefix_len); +} + static common_chat_params common_chat_templates_apply_jinja(const struct common_chat_templates * tmpls, const struct common_chat_templates_inputs & inputs) { autoparser::generation_params params; params.tools = common_chat_tools_to_json_oaicompat(inputs.tools); const auto & tmpl = params.tools.is_array() && tmpls->template_tool_use ? *tmpls->template_tool_use : *tmpls->template_default; - const auto & src = tmpl.source(); - const auto & caps = tmpl.original_caps(); - params.messages = render_message_to_json(inputs.messages, tmpl.original_caps()); - params.tool_choice = inputs.tool_choice; - params.reasoning_format = inputs.reasoning_format; - params.enable_thinking = inputs.enable_thinking; - params.grammar = inputs.grammar; - params.now = inputs.now; - params.add_bos = tmpls->add_bos; - params.add_eos = tmpls->add_eos; + const auto & src = tmpl.source(); + const auto & caps = tmpl.original_caps(); + params.messages = render_message_to_json(inputs.messages, tmpl.original_caps()); + params.tool_choice = inputs.tool_choice; + params.reasoning_format = inputs.reasoning_format; + params.enable_thinking = inputs.enable_thinking; + params.grammar = inputs.grammar; + params.now = inputs.now; + params.add_generation_prompt = inputs.add_generation_prompt; + params.add_bos = tmpls->add_bos; + params.add_eos = tmpls->add_eos; if (src.find("<|channel|>") == std::string::npos) { // map developer to system for all models except for GPT-OSS @@ -2153,14 +2169,7 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_ workaround::func_args_not_string(params.messages); } - params.add_generation_prompt = false; - std::string no_gen_prompt = common_chat_template_direct_apply_impl(tmpl, params); - params.add_generation_prompt = true; - std::string gen_prompt = common_chat_template_direct_apply_impl(tmpl, params); - auto diff = calculate_diff_split(no_gen_prompt, gen_prompt); - params.generation_prompt = diff.right + diff.suffix; - - params.add_generation_prompt = inputs.add_generation_prompt; + params.generation_prompt = common_chat_templates_generation_prompt(tmpl, params); params.extra_context = common_chat_extra_context(); for (auto el : inputs.chat_template_kwargs) { @@ -2212,8 +2221,8 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_ auto auto_params = autoparser::peg_generator::generate_parser(tmpl, params, autoparser); auto_params.supports_thinking = autoparser.reasoning.mode != autoparser::reasoning_mode::NONE; if (auto_params.supports_thinking) { - auto_params.thinking_start_tag = autoparser.reasoning.start; - auto_params.thinking_end_tag = autoparser.reasoning.end; + auto_params.thinking_start_tag = trim_whitespace(autoparser.reasoning.start); + auto_params.thinking_end_tag = trim_whitespace(autoparser.reasoning.end); } auto_params.generation_prompt = params.generation_prompt; common_peg_arena arena; diff --git a/common/chat.h b/common/chat.h index 01a47b383b..054f5ffe77 100644 --- a/common/chat.h +++ b/common/chat.h @@ -94,6 +94,15 @@ struct common_chat_msg { tool_name.empty() && tool_call_id.empty(); } + bool contains_media() const { + for (const auto & part : content_parts) { + if (part.type == "media_marker") { + return true; + } + } + return false; + } + void set_tool_call_ids(std::vector<std::string> & ids_cache, const std::function<std::string()> & gen_tool_call_id) { for (auto i = 0u; i < tool_calls.size(); i++) { diff --git a/common/common.cpp b/common/common.cpp index 793b8fee7b..352af0b178 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -1422,7 +1422,7 @@ common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx) { // try to remove the last tokens if (!llama_memory_seq_rm(mem, 0, 1, -1)) { - LOG_WRN("%s: the target context does not support partial sequence removal\n", __func__); + LOG_WRN("%s: the context does not support partial sequence removal\n", __func__); res = COMMON_CONTEXT_SEQ_RM_TYPE_FULL; goto done; } @@ -1960,3 +1960,102 @@ bool common_prompt_batch_decode( return true; } + +size_t common_prompt_checkpoint::size() const { + return data_tgt.size() + data_dft.size(); +} + +bool common_prompt_checkpoint::empty() const { + return data_tgt.empty(); +} + +void common_prompt_checkpoint::clear() { + n_tokens = 0; + + pos_min = 0; + pos_max = 0; + + data_tgt.clear(); + data_dft.clear(); +} + +void common_prompt_checkpoint::update_pos( + int64_t n_tokens, + llama_pos pos_min, + llama_pos pos_max) { + this->n_tokens = n_tokens; + this->pos_min = pos_min; + this->pos_max = pos_max; +} + +void common_prompt_checkpoint::update_tgt( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags) { + if (ctx == nullptr) { + return; + } + + const size_t ckpt_size = llama_state_seq_get_size_ext(ctx, seq_id, flags); + + data_tgt.resize(ckpt_size); + + const size_t n = llama_state_seq_get_data_ext(ctx, data_tgt.data(), ckpt_size, seq_id, flags); + if (n != ckpt_size) { + GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", ckpt_size, n); + } +} + +void common_prompt_checkpoint::update_dft( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags) { + if (ctx == nullptr) { + return; + } + + const size_t ckpt_size = llama_state_seq_get_size_ext(ctx, seq_id, flags); + + data_dft.resize(ckpt_size); + + const size_t n = llama_state_seq_get_data_ext(ctx, data_dft.data(), ckpt_size, seq_id, flags); + if (n != ckpt_size) { + GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", ckpt_size, n); + } +} + +void common_prompt_checkpoint::load_tgt( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags) const { + if (ctx == nullptr) { + return; + } + + if (data_tgt.empty()) { + return; + } + + const size_t n = llama_state_seq_set_data_ext(ctx, data_tgt.data(), data_tgt.size(), seq_id, flags); + if (n != data_tgt.size()) { + GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", data_tgt.size(), n); + } +} + +void common_prompt_checkpoint::load_dft( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags) const { + if (ctx == nullptr) { + return; + } + + if (data_dft.empty()) { + return; + } + + const size_t n = llama_state_seq_set_data_ext(ctx, data_dft.data(), data_dft.size(), seq_id, flags); + if (n != data_dft.size()) { + GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", data_dft.size(), n); + } +} diff --git a/common/common.h b/common/common.h index a564b3b8c2..a3cd174395 100644 --- a/common/common.h +++ b/common/common.h @@ -157,9 +157,9 @@ enum common_params_sampling_config : uint64_t { enum common_speculative_type { COMMON_SPECULATIVE_TYPE_NONE, // no speculative decoding - COMMON_SPECULATIVE_TYPE_DRAFT, // draft model - COMMON_SPECULATIVE_TYPE_EAGLE3, // eagle draft model - COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE, // simple self-speculative decoding + COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE, // standalone draft model speculative decoding + COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3, // Eagle3 speculative decoding + COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE, // simple self-speculative decoding based on n-grams COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K, // self-speculative decoding with n-gram keys only COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V, // self-speculative decoding with n-gram keys and 4 m-gram values COMMON_SPECULATIVE_TYPE_NGRAM_MOD, @@ -295,8 +295,6 @@ struct common_params_model { std::string name = ""; // in format <user>/<model>[:<tag>] (tag is optional) // NOLINT }; -struct common_ngram_mod; - // draft-model-based speculative decoding parameters struct common_params_speculative_draft { int32_t n_max = 16; // maximum number of tokens to draft during speculative decoding @@ -307,11 +305,9 @@ struct common_params_speculative_draft { common_params_model mparams; - llama_model * model = nullptr; // a llama_model that can be shared by multiple speculative contexts + llama_context * ctx_tgt = nullptr; + llama_context * ctx_dft = nullptr; - llama_context_params cparams; // these are the parameters for the draft llama_context - - int32_t n_ctx = 0; // draft context size int32_t n_gpu_layers = -1; // number of layers to store in VRAM for the draft model (-1 - use default) ggml_type cache_type_k = GGML_TYPE_F16; // KV cache data type for the K @@ -322,7 +318,6 @@ struct common_params_speculative_draft { std::vector<ggml_backend_dev_t> devices; // devices to use for offloading - std::vector<std::pair<std::string, std::string>> replacements; // main to speculative model replacements std::vector<llama_model_tensor_buft_override> tensor_buft_overrides; }; @@ -331,9 +326,6 @@ struct common_params_speculative_ngram_mod { int32_t n_max = 64; int32_t n_min = 48; - - // shared instance of the ngram container for all speculative decoding contexts - std::shared_ptr<common_ngram_mod> obj; }; struct common_params_speculative_ngram_map { @@ -348,9 +340,9 @@ struct common_params_speculative_ngram_cache { }; struct common_params_speculative { - // TODO: become a vector in order to support "chains of speculators" - common_speculative_type type = COMMON_SPECULATIVE_TYPE_NONE; + std::vector<enum common_speculative_type> types = { COMMON_SPECULATIVE_TYPE_NONE }; + // used by Simple, MTP, Eagle3, etc. - all methods that require some kind of draft model common_params_speculative_draft draft; common_params_speculative_ngram_mod ngram_mod; @@ -1026,3 +1018,47 @@ ggml_opt_dataset_t common_opt_dataset_init(struct llama_context * ctx, const std // "adamw" or "sgd" (case insensitive) enum ggml_opt_optimizer_type common_opt_get_optimizer(const char *); + +// +// prompt utils +// + +struct common_prompt_checkpoint { + int64_t n_tokens; + + llama_pos pos_min; + llama_pos pos_max; + + std::vector<uint8_t> data_tgt; + std::vector<uint8_t> data_dft; + + size_t size() const; + + bool empty() const; + void clear(); + + void update_pos( + int64_t n_tokens, + llama_pos pos_min, + llama_pos pos_max); + + void update_tgt( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags); + + void update_dft( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags); + + void load_tgt( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags) const; + + void load_dft( + llama_context * ctx, + llama_seq_id seq_id, + llama_state_seq_flags flags) const; +}; diff --git a/common/fit.cpp b/common/fit.cpp index aca3f4d407..e66982df5b 100644 --- a/common/fit.cpp +++ b/common/fit.cpp @@ -109,16 +109,24 @@ static std::vector<llama_device_memory_data> common_get_device_memory_data( ret.back().total = total; } for (size_t i = 0; i < nd; i++) { + ggml_backend_dev_t dev = llama_model_get_device(model, i); + size_t free; size_t total; - ggml_backend_dev_memory(llama_model_get_device(model, i), &free, &total); + ggml_backend_dev_memory(dev, &free, &total); - // devices can return 0 bytes for free and total memory if they do not - // have any to report. in this case, we will use the host memory as a fallback - // fixes: https://github.com/ggml-org/llama.cpp/issues/18577 + // Some non-GPU accelerator backends, such as BLAS, report 0/0 and rely on + // the host-memory fallback. For GPU-like backends, keep 0/0 so --fit does + // not assign anything to a device with an unknown memory budget. if (free == 0 && total == 0) { - free = ret.back().free; - total = ret.back().total; + const enum ggml_backend_dev_type type = ggml_backend_dev_type(dev); + if (type == GGML_BACKEND_DEVICE_TYPE_GPU || type == GGML_BACKEND_DEVICE_TYPE_IGPU) { + LOG_WRN("%s: device %s did not report memory; --fit will not use it\n", + __func__, ggml_backend_dev_name(dev)); + } else { + free = ret.back().free; + total = ret.back().total; + } } ret[i].free = free; ret[i].total = total; diff --git a/common/hf-cache.cpp b/common/hf-cache.cpp index ea5b2150de..20f33e4c7f 100644 --- a/common/hf-cache.cpp +++ b/common/hf-cache.cpp @@ -57,7 +57,7 @@ static fs::path get_cache_directory() { #ifndef _WIN32 const struct passwd * pw = getpwuid(getuid()); - if (pw->pw_dir && *pw->pw_dir) { + if (pw && pw->pw_dir && *pw->pw_dir) { return fs::path(pw->pw_dir) / ".cache" / "huggingface" / "hub"; } #endif diff --git a/common/preset.cpp b/common/preset.cpp index 9187a67f05..51ea984d8c 100644 --- a/common/preset.cpp +++ b/common/preset.cpp @@ -163,8 +163,13 @@ void common_preset::merge(const common_preset & other) { } } -void common_preset::apply_to_params(common_params & params) const { +void common_preset::apply_to_params(common_params & params, const std::set<std::string> & handled_keys) const { for (const auto & [opt, val] : options) { + if (!handled_keys.empty()) { + if (!opt.env || handled_keys.find(opt.env) == handled_keys.end()) { + continue; + } + } // apply each option to params if (opt.handler_string) { opt.handler_string(params, val); diff --git a/common/preset.h b/common/preset.h index 11ba6ef812..06f829c3e5 100644 --- a/common/preset.h +++ b/common/preset.h @@ -43,7 +43,8 @@ struct common_preset { void merge(const common_preset & other); // apply preset options to common_params - void apply_to_params(common_params & params) const; + // optionally specify handled_keys to only apply a subset of options (identified by their env), if empty, apply all options + void apply_to_params(common_params & params, const std::set<std::string> & handled_keys = std::set<std::string>()) const; }; // interface for multiple presets in one file diff --git a/common/reasoning-budget.cpp b/common/reasoning-budget.cpp index 74fce53677..c6e1f86c91 100644 --- a/common/reasoning-budget.cpp +++ b/common/reasoning-budget.cpp @@ -232,34 +232,6 @@ static struct llama_sampler * common_reasoning_budget_init_state( ); } -struct llama_sampler * common_reasoning_budget_init( - const struct llama_vocab * vocab, - const std::vector<llama_token> & start_tokens, - const std::vector<llama_token> & end_tokens, - const std::vector<llama_token> & forced_tokens, - int32_t budget, - const std::vector<llama_token> & prefill_tokens) { - // Determine initial state from prefill: COUNTING if the prefill begins with - // the start sequence but does not also contain the end sequence after it. - common_reasoning_budget_state initial_state = REASONING_BUDGET_IDLE; - if (!prefill_tokens.empty() && !start_tokens.empty() && - prefill_tokens.size() >= start_tokens.size() && - std::equal(start_tokens.begin(), start_tokens.end(), prefill_tokens.begin())) { - initial_state = REASONING_BUDGET_COUNTING; - // If the end sequence also follows the start in the prefill, reasoning - // was opened and immediately closed — stay IDLE. - if (!end_tokens.empty() && - prefill_tokens.size() >= start_tokens.size() + end_tokens.size()) { - auto end_start = prefill_tokens.end() - (ptrdiff_t) end_tokens.size(); - if (end_start >= prefill_tokens.begin() + (ptrdiff_t) start_tokens.size() && - std::equal(end_tokens.begin(), end_tokens.end(), end_start)) { - initial_state = REASONING_BUDGET_IDLE; - } - } - } - return common_reasoning_budget_init_state(vocab, start_tokens, end_tokens, forced_tokens, budget, initial_state); -} - struct llama_sampler * common_reasoning_budget_init( const struct llama_vocab * vocab, const std::vector<llama_token> & start_tokens, diff --git a/common/reasoning-budget.h b/common/reasoning-budget.h index ee1a30ed3c..ef37f46ee4 100644 --- a/common/reasoning-budget.h +++ b/common/reasoning-budget.h @@ -29,10 +29,7 @@ enum common_reasoning_budget_state { // end_tokens - token sequence for natural deactivation // forced_tokens - token sequence forced when budget expires // budget - max tokens allowed in the reasoning block -// prefill_tokens - tokens already present in the prompt (generation prompt); -// used to determine the initial state: COUNTING if they begin -// with start_tokens (but don't also end with end_tokens), -// IDLE otherwise. COUNTING with budget <= 0 is promoted to FORCING. +// initial_state - initial state // struct llama_sampler * common_reasoning_budget_init( const struct llama_vocab * vocab, @@ -40,16 +37,6 @@ struct llama_sampler * common_reasoning_budget_init( const std::vector<llama_token> & end_tokens, const std::vector<llama_token> & forced_tokens, int32_t budget, - const std::vector<llama_token> & prefill_tokens = {}); - -// Variant that takes an explicit initial state (used by tests and clone). -// COUNTING with budget <= 0 is promoted to FORCING. -struct llama_sampler * common_reasoning_budget_init( - const struct llama_vocab * vocab, - const std::vector<llama_token> & start_tokens, - const std::vector<llama_token> & end_tokens, - const std::vector<llama_token> & forced_tokens, - int32_t budget, - common_reasoning_budget_state initial_state); + common_reasoning_budget_state initial_state = REASONING_BUDGET_IDLE); common_reasoning_budget_state common_reasoning_budget_get_state(const struct llama_sampler * smpl); diff --git a/common/sampling.cpp b/common/sampling.cpp index b2e6d8e8d8..5665d0a706 100644 --- a/common/sampling.cpp +++ b/common/sampling.cpp @@ -260,32 +260,35 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st } } + // Compute prefill tokens from the generation prompt + std::vector<llama_token> prefill_tokens; + if (!params.generation_prompt.empty()) { + GGML_ASSERT(vocab != nullptr); + auto tokens = common_tokenize(vocab, params.generation_prompt, false, true); + for (size_t i = 0; i < tokens.size(); i++) { + std::string piece = common_token_to_piece(vocab, tokens[i], true); + if (i == 0 && std::isspace(piece[0]) && !std::isspace(params.generation_prompt[0])) { + // Some tokenizers will add a space before the first special token, need to exclude + continue; + } + LOG_DBG("%s: prefill token: %d = %s\n", __func__, tokens[i], piece.c_str()); + prefill_tokens.push_back(tokens[i]); + } + } + // Feed generation prompt tokens to the grammar sampler so it advances past // tokens the template already placed in the prompt. // Only applies to output-format and tool-call grammars; user-supplied grammars must not be prefilled. - std::vector<llama_token> prefill_tokens; - if (!params.generation_prompt.empty() && common_grammar_needs_prefill(params.grammar)) { - GGML_ASSERT(vocab != nullptr); - prefill_tokens = common_tokenize(vocab, params.generation_prompt, false, true); - if (!prefill_tokens.empty()) { - std::string first_token = common_token_to_piece(vocab, prefill_tokens[0], true); - if (std::isspace(first_token[0]) && !std::isspace(params.generation_prompt[0])) { - // Some tokenizers will add a space before the first special token, need to remove - prefill_tokens = std::vector<llama_token>(prefill_tokens.begin() + 1, prefill_tokens.end()); - } - } - - if (grmr && !params.grammar_lazy) { - try { - for (const auto & token : prefill_tokens) { - llama_sampler_accept(grmr, token); - LOG_DBG("%s: accepted prefill token (%d)\n", __func__, token); - } - } catch (std::exception &e) { - LOG_ERR("%s: error initializing grammar sampler for grammar:\n%s\n\nGeneration prompt:\n'%s'\n", __func__, - common_grammar_value(params.grammar).c_str(), params.generation_prompt.c_str()); - throw e; + if (grmr && !params.grammar_lazy && common_grammar_needs_prefill(params.grammar)) { + try { + for (const auto & token : prefill_tokens) { + llama_sampler_accept(grmr, token); + LOG_DBG("%s: grammar accepted prefill token (%d)\n", __func__, token); } + } catch (std::exception &e) { + LOG_ERR("%s: error initializing grammar sampler for grammar:\n%s\n\nGeneration prompt:\n'%s'\n", __func__, + common_grammar_value(params.grammar).c_str(), params.generation_prompt.c_str()); + throw e; } } @@ -296,8 +299,12 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st params.reasoning_budget_start, params.reasoning_budget_end, params.reasoning_budget_forced, - params.reasoning_budget_tokens < 0 ? INT_MAX : params.reasoning_budget_tokens, - prefill_tokens); + params.reasoning_budget_tokens < 0 ? INT_MAX : params.reasoning_budget_tokens); + + for (const auto & token : prefill_tokens) { + llama_sampler_accept(rbudget, token); + LOG_DBG("%s: reasoning-budget accepted prefill token (%d)\n", __func__, token); + } } if (params.has_logit_bias()) { @@ -431,7 +438,7 @@ static bool grammar_should_apply(struct common_sampler * gsmpl) { return true; } -void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool accept_grammar) { +void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool is_generated) { if (!gsmpl) { return; } @@ -439,9 +446,11 @@ void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, boo const auto tm = gsmpl->tm(); // grammar_should_apply() checks the reasoning budget state, so calculate this before we accept - accept_grammar = accept_grammar && grammar_should_apply(gsmpl); + const auto accept_grammar = is_generated && grammar_should_apply(gsmpl); - llama_sampler_accept(gsmpl->rbudget, token); + if (gsmpl->rbudget && is_generated) { + llama_sampler_accept(gsmpl->rbudget, token); + } if (gsmpl->grmr && accept_grammar) { llama_sampler_accept(gsmpl->grmr, token); @@ -538,6 +547,8 @@ llama_token common_sampler_sample(struct common_sampler * gsmpl, struct llama_co auto & chain = gsmpl->chain; auto & cur_p = gsmpl->cur_p; // initialized by set_logits + gsmpl->set_logits(ctx, idx); + // Check if a backend sampler has already sampled a token in which case we // return that token id directly. { @@ -549,17 +560,17 @@ llama_token common_sampler_sample(struct common_sampler * gsmpl, struct llama_co GGML_ASSERT(!gsmpl->grmr && "using grammar in combination with backend sampling is not supported"); GGML_ASSERT(!gsmpl->rbudget && "using reasoning budget in combination with backend sampling is not supported"); - // TODO: simplify - gsmpl->cur.resize(1); - gsmpl->cur[0] = { id, 0.0f, 1.0f }; - cur_p = { gsmpl->cur.data(), gsmpl->cur.size(), 0, true }; + for (size_t i = 0; i < cur_p.size; ++i) { + if (cur_p.data[i].id == id) { + cur_p.selected = i; + break; + } + } return id; } } - gsmpl->set_logits(ctx, idx); - // apply reasoning budget first llama_sampler_apply(rbudget, &cur_p); diff --git a/common/sampling.h b/common/sampling.h index 5b57ad6581..49506a00cd 100644 --- a/common/sampling.h +++ b/common/sampling.h @@ -41,8 +41,8 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st void common_sampler_free(struct common_sampler * gsmpl); -// if accept_grammar is true, the token is accepted both by the sampling chain and the grammar -void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool accept_grammar); +// if is_generated is true, the token is accepted by the sampling chain, the reasoning budget sampler, and the grammar sampler +void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool is_generated); void common_sampler_reset (struct common_sampler * gsmpl); struct common_sampler * common_sampler_clone (struct common_sampler * gsmpl); diff --git a/common/speculative.cpp b/common/speculative.cpp index c114bccde1..0eebcb3dcf 100644 --- a/common/speculative.cpp +++ b/common/speculative.cpp @@ -10,6 +10,7 @@ #include "sampling.h" #include <algorithm> +#include <cassert> #include <cstring> #include <iomanip> #include <map> @@ -18,26 +19,15 @@ #define SPEC_VOCAB_MAX_SIZE_DIFFERENCE 128 #define SPEC_VOCAB_CHECK_START_TOKEN_ID 5 -const std::vector<enum common_speculative_type> common_speculative_types = { - COMMON_SPECULATIVE_TYPE_NONE, - COMMON_SPECULATIVE_TYPE_DRAFT, - COMMON_SPECULATIVE_TYPE_EAGLE3, - COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE, - COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K, - COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V, - COMMON_SPECULATIVE_TYPE_NGRAM_MOD, - COMMON_SPECULATIVE_TYPE_NGRAM_CACHE -}; - -const std::map<std::string, enum common_speculative_type> common_speculative_type_from_name_map = { +const std::map<std::string, common_speculative_type> common_speculative_type_from_name_map = { {"none", COMMON_SPECULATIVE_TYPE_NONE}, - {"draft", COMMON_SPECULATIVE_TYPE_DRAFT}, - {"eagle3", COMMON_SPECULATIVE_TYPE_EAGLE3}, - {"ngram_simple", COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE}, - {"ngram_map_k", COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K}, - {"ngram_map_k4v", COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V}, - {"ngram_mod", COMMON_SPECULATIVE_TYPE_NGRAM_MOD}, - {"ngram_cache", COMMON_SPECULATIVE_TYPE_NGRAM_CACHE} + {"draft-simple", COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE}, + {"draft-eagle3", COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3}, + {"ngram-simple", COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE}, + {"ngram-map-k", COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K}, + {"ngram-map-k4v", COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V}, + {"ngram-mod", COMMON_SPECULATIVE_TYPE_NGRAM_MOD}, + {"ngram-cache", COMMON_SPECULATIVE_TYPE_NGRAM_CACHE} }; struct common_speculative_config { @@ -115,12 +105,16 @@ static bool common_speculative_are_compatible( return true; } +using common_speculative_draft_params_vec = std::vector<common_speculative_draft_params>; + // state of an implementation of speculative decoding // // each implementation has a unique type and a state that is implementation-specific -// in a subclass of common_speculative_state -struct common_speculative_state { - const enum common_speculative_type type; +// in a subclass of common_speculative_impl +struct common_speculative_impl { + const common_speculative_type type; + + uint32_t n_seq; size_t n_call_begin = 0; // number of times this implementation was called for refresh. size_t n_call_draft = 0; // number of times this implementation was called for generation. @@ -138,67 +132,34 @@ struct common_speculative_state { int64_t t_draft_us = 0; // total time spent in generating drafts in this implementation in microseconds. int64_t t_accept_us = 0; // total time spent in accumulation of this implementation in microseconds. - common_speculative_state(enum common_speculative_type type) : type(type) {} + common_speculative_impl(common_speculative_type type, uint32_t n_seq) : type(type), n_seq(n_seq) {} - virtual ~common_speculative_state() = default; + virtual ~common_speculative_impl() = default; - virtual void begin(const llama_tokens & prompt) = 0; + virtual void begin(llama_seq_id seq_id, const llama_tokens & prompt) = 0; - virtual void draft( - const common_params_speculative & params, - const llama_tokens & prompt_tgt, - llama_token id_last, - llama_tokens & result) = 0; + virtual bool process(const llama_batch & batch) = 0; - virtual void accept(uint16_t n_accepted) = 0; + virtual void draft(common_speculative_draft_params_vec & dparams) = 0; - virtual int32_t n_max(const common_params_speculative & params) const = 0; - virtual int32_t n_min(const common_params_speculative & params) const = 0; + virtual void accept(llama_seq_id seq_id, uint16_t n_accepted) = 0; }; -struct common_speculative_checkpoint { - llama_pos pos_min = 0; - llama_pos pos_max = 0; +struct common_speculative_impl_draft_simple : public common_speculative_impl { + common_params_speculative_draft params; - int64_t n_tokens = 0; + llama_batch batch; - std::vector<uint8_t> data; + std::vector<common_sampler_ptr> smpls; - size_t size() const { - return data.size(); - } - - size_t ckpt_size = 0; -}; - -struct common_speculative_state_draft : public common_speculative_state { - llama_context * ctx_tgt; // only used for retokenizing from ctx_dft - llama_context * ctx_dft; - - bool use_ckpt = false; - struct common_speculative_checkpoint ckpt; - - common_sampler * smpl; - - llama_batch batch; - llama_tokens prompt_dft; - - bool vocab_cmpt = true; // whether retokenization is needed - std::unordered_map<std::string, std::string> vocab_map; - - common_speculative_state_draft( - enum common_speculative_type type, - llama_context * ctx_tgt, - llama_context * ctx_dft, - const std::vector<std::pair<std::string, std::string>> & replacements, - bool use_ckpt) - : common_speculative_state(type) - , ctx_tgt(ctx_tgt) - , ctx_dft(ctx_dft) - , use_ckpt(use_ckpt) + common_speculative_impl_draft_simple(const common_params_speculative & params, uint32_t n_seq) + : common_speculative_impl(COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE, n_seq) + , params(params.draft) { + auto * ctx_dft = this->params.ctx_dft; + auto * ctx_tgt = this->params.ctx_tgt; + batch = llama_batch_init(llama_n_batch(ctx_dft), 0, 1); - smpl = nullptr; // TODO: optimize or pass from outside? // { @@ -216,7 +177,9 @@ struct common_speculative_state_draft : public common_speculative_state { // // result->smpl = common_sampler_init(llama_get_model(ctx_dft), params); // } - { + + smpls.resize(n_seq); + for (auto & smpl : smpls) { common_params_sampling params; params.no_perf = false; params.top_k = 10; @@ -224,489 +187,321 @@ struct common_speculative_state_draft : public common_speculative_state { COMMON_SAMPLER_TYPE_TOP_K, }; - smpl = common_sampler_init(llama_get_model(ctx_dft), params); + smpl.reset(common_sampler_init(llama_get_model(ctx_dft), params)); } - vocab_cmpt = common_speculative_are_compatible(llama_get_model(ctx_tgt), llama_get_model(ctx_dft)); - LOG_DBG("vocab_cmpt = %d\n", vocab_cmpt); + const bool vocab_cmpt = common_speculative_are_compatible(llama_get_model(ctx_tgt), llama_get_model(ctx_dft)); + LOG_DBG("%s: vocab_cmpt = %d\n", __func__, vocab_cmpt); if (!vocab_cmpt) { - LOG_WRN("the target and draft vocabs are not compatible - tokens will be translated between the two\n"); + LOG_ERR("%s: the target and draft vocabs are not compatible\n", __func__); - for (const auto & pair : replacements) { - vocab_map[pair.first] = pair.second; - } + throw std::runtime_error("draft model vocab type must match target model to use speculation"); + } + + if (n_seq != llama_n_seq_max(ctx_dft)) { + LOG_ERR("%s: n_seq mismatch: %d != %d\n", __func__, n_seq, llama_n_seq_max(ctx_dft)); + + throw std::runtime_error("the draft model number of sequences is incompatible with the speculative n_seq"); } } - ~common_speculative_state_draft() override { - llama_perf_context_print(ctx_dft); - - llama_free(ctx_dft); - - common_sampler_free(smpl); - + ~common_speculative_impl_draft_simple() override { llama_batch_free(batch); } - void begin(const llama_tokens & prompt) override { - if (use_ckpt && ckpt.size() > 0) { - // delete checkpoint - LOG_DBG("%s: delete checkpoint, prompt.size=%zu, pos_min=%d, pos_max=%d, n_tokens=%" PRId64 ", size=%.3f MiB\n", - __func__, prompt.size(), ckpt.pos_min, ckpt.pos_max, ckpt.n_tokens, (float) ckpt.data.size() / 1024 / 1024); - ckpt.pos_min = 0; - ckpt.pos_max = 0; - ckpt.n_tokens = 0; - ckpt.ckpt_size = 0; - ckpt.data.clear(); - } + void begin(llama_seq_id /*seq_id*/, const llama_tokens & /*prompt*/) override { + // noop } - size_t draft_create_checkpoint(int n_tokens_prompt, int n_tokens_batch) { - int slot_id = 0; - const size_t checkpoint_size = llama_state_seq_get_size_ext(ctx_dft, slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); + bool process(const llama_batch & batch) override { + auto * ctx_dft = params.ctx_dft; - ckpt.pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx_dft), slot_id); - ckpt.pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx_dft), slot_id); - ckpt.n_tokens = n_tokens_prompt - n_tokens_batch; - ckpt.data.resize(checkpoint_size); + const int ret = llama_decode(ctx_dft, batch); - const size_t n = llama_state_seq_get_data_ext(ctx_dft, ckpt.data.data(), checkpoint_size, slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - if (n != checkpoint_size) { - GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", checkpoint_size, n); + if (ret != 0) { + LOG_ERR("%s: failed to decode draft batch, ret = %d\n", __func__, ret); + + return false; } - LOG_DBG("%s: pos_min = %d, pos_max = %d, size = %.3f MiB\n", __func__, - ckpt.pos_min, ckpt.pos_max, (float) ckpt.data.size() / 1024 / 1024); - return n; + return true; } - size_t draft_restore_checkpoint(size_t ckpt_size_part_expected) { - int slot_id = 0; - LOG_DBG("%s: pos_min = %d, pos_max = %d\n", __func__, ckpt.pos_min, ckpt.pos_max); - const size_t n = llama_state_seq_set_data_ext(ctx_dft, ckpt.data.data(), ckpt.size(), slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - if (n != ckpt_size_part_expected) { - GGML_ABORT("%s: failed to restore context checkpoint (pos_min=%d, pos_max=%d, size=%zu, get_data_ext->%zu, set_data_ext->%zu", - __func__, ckpt.pos_min, ckpt.pos_max, ckpt.size(), ckpt_size_part_expected, n); - } - llama_memory_seq_rm(llama_get_memory(ctx_dft), slot_id, ckpt.pos_max + 1, -1); + void draft(common_speculative_draft_params_vec & dparams) override { + auto & ctx_dft = params.ctx_dft; - return n; - } - - void draft( - const common_params_speculative & params, - const llama_tokens & prompt_tgt, - llama_token id_last, - llama_tokens & result) override { - const auto & sparams = params.draft; - - auto * spec = this; - - auto & batch = spec->batch; - auto & ctx_tgt = spec->ctx_tgt; - auto & ctx_dft = spec->ctx_dft; - auto & smpl = spec->smpl; - auto & prompt_dft = spec->prompt_dft; - - auto * mem_dft = llama_get_memory(ctx_dft); - - int reuse_i = 0; // index of part to be reused in prompt_dft - int reuse_n = 0; // length of part to be reused in prompt_dft - - const int n_ctx = llama_n_ctx(ctx_dft) - sparams.n_max; - - llama_tokens prompt_cnv; - if (!spec->vocab_cmpt) { - std::string text; - - text = common_detokenize(ctx_tgt, prompt_tgt, true); - text = replace_to_dft(text); - - LOG_DBG("%s: main->draft detokenized string: '%s'\n", __func__, text.c_str()); - - prompt_cnv = common_tokenize(ctx_dft, text, false, true); - - // convert id_last to draft vocab. llama_detokenize is called directly to avoid an allocation - const auto * model_tgt = llama_get_model(ctx_tgt); - const auto * vocab_tgt = llama_model_get_vocab(model_tgt); - - int32_t n_chars = llama_detokenize(vocab_tgt, &id_last, 1, nullptr, 0, false, false); - GGML_ASSERT(n_chars < 0 && "failed to detokenize id_last"); - - text.resize(-n_chars); - llama_detokenize(vocab_tgt, &id_last, 1, text.data(), text.size(), false, false); - text = replace_to_dft(text); - - LOG_DBG("main->draft detokenized id_last(%d): '%s'\n", id_last, text.c_str()); - id_last = common_tokenize(ctx_dft, text, false, true)[0]; - } - - const llama_tokens & prompt_cur = spec->vocab_cmpt ? prompt_tgt : prompt_cnv; - - const int i_start = std::max<int>(0, (int) prompt_cur.size() - n_ctx); - - // reuse as much as possible from the old draft context - // ideally, the draft context should be as big as the target context and we will always reuse the entire prompt - for (int i = 0; i < (int) prompt_dft.size(); ++i) { - int cur = 0; - while (i_start + cur < (int) prompt_cur.size() && - i + cur < (int) prompt_dft.size() && - prompt_cur[i_start + cur] == prompt_dft[i + cur]) { - cur++; - } - - if ((cur >= 256 || n_ctx >= (int) prompt_cur.size()) && cur > reuse_n) { - reuse_i = i; - reuse_n = cur; - } - } - - LOG_DBG("%s: reuse_i = %d, reuse_n = %d, #prompt_dft = %zu, #prompt_cur = %zu\n", - __func__, reuse_i, reuse_n, prompt_dft.size(), prompt_cur.size()); - if (use_ckpt && ckpt.ckpt_size == 0 && reuse_n > 0) { - LOG_DBG("%s: no checkpoint available, no reuse, (reuse_i=%d, reuse_n=%d) -> (0, 0)\n", - __func__, reuse_i, reuse_n); - reuse_i = 0; - reuse_n = 0; - } - - result.clear(); - result.reserve(sparams.n_max); - - bool needs_ckpt = use_ckpt && prompt_dft.size() > 0; - if (reuse_n == 0 || (use_ckpt && reuse_i > 0)) { - llama_memory_clear(mem_dft, false); - prompt_dft.clear(); - } else { - // this happens when a previous draft has been discarded (for example, due to being too small), but the - // target model agreed with it. in this case, we simply pass back the previous results to save compute - if (reuse_i + reuse_n < (int64_t) prompt_dft.size() && prompt_dft[reuse_i + reuse_n] == id_last) { - for (int i = reuse_i + reuse_n + 1; i < (int) prompt_dft.size(); ++i) { - result.push_back(prompt_dft[i]); - - if (sparams.n_max <= (int) result.size()) { - break; - } - } - - return; - } - - bool do_restore = false; - if (prompt_dft.size() > prompt_cur.size() && reuse_i + reuse_n < (int64_t) prompt_dft.size()) { - // This can happen after a partial acceptance (speculative decoding with checkpoints) - LOG_DBG("%s: #prompt_dft=%zu, #prompt_cur=%zu, shorten draft\n", - __func__, prompt_dft.size(), prompt_cur.size()); - prompt_dft.resize(prompt_cur.size()); - do_restore = true; - } - - if (reuse_i > 0) { - bool is_removed = llama_memory_seq_rm (mem_dft, 0, 0, reuse_i); - if (!is_removed) { - LOG_ERR("%s: llama_memory_seq_rm failed, reuse_i=%d\n", __func__, reuse_i); - } - llama_memory_seq_add(mem_dft, 0, reuse_i, -1, -reuse_i); - - prompt_dft.erase(prompt_dft.begin(), prompt_dft.begin() + reuse_i); - } - - if (reuse_n < (int) prompt_dft.size() || do_restore) { - if (use_ckpt) { - if (ckpt.n_tokens > (int64_t) prompt_dft.size()) { - LOG_INF("%s: checkpoint is too large, prompt_tgt.size=%zu, ckpt.n_tokens=%" PRId64 ", reuse_n=%d, prompt_dft.size=%zu\n", - __func__, prompt_tgt.size(), ckpt.n_tokens, reuse_n, prompt_dft.size()); - } - draft_restore_checkpoint(ckpt.ckpt_size); - reuse_n = ckpt.n_tokens; - prompt_dft.resize(reuse_n); - needs_ckpt = false; - } else { - bool is_removed = llama_memory_seq_rm (mem_dft, 0, reuse_n, -1); - if (!is_removed) { - LOG_ERR("%s: llama_memory_seq_rm failed, reuse_n=%d, prompt_dft.size=%zu\n", - __func__, reuse_n, prompt_dft.size()); - } - prompt_dft.erase(prompt_dft.begin() + reuse_n, prompt_dft.end()); - } - } - } - - if (needs_ckpt) { - ckpt.ckpt_size = draft_create_checkpoint(prompt_dft.size(), batch.n_tokens); - } - - // prepare a batch to evaluate any new tokens in the prompt common_batch_clear(batch); - for (size_t i = i_start + reuse_n; i < prompt_cur.size(); ++i) { - //LOG_DBG("i = %d, i_start = %d, reuse_n = %d, i - i_start = %d, id = %6d\n", i, i_start, reuse_n, i - i_start, prompt_cur[i]); - common_batch_add(batch, prompt_cur[i], i - i_start, { 0 }, false); + // keep track of which sequences are still drafting + int n_drafting = 0; + std::vector<bool> drafting(n_seq); - prompt_dft.push_back(prompt_cur[i]); - } + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) n_seq; ++seq_id) { + auto & dp = dparams[seq_id]; - // we should rarely end-up here during normal decoding - if (batch.n_tokens > 0) { - //LOG_DBG("%s: draft prompt batch: %s\n", __func__, string_from(ctx, batch).c_str()); - - int ret = llama_decode(ctx_dft, batch); - if (ret != 0 && ret != 1) { - LOG_WRN("%s: llama_decode returned %d, prompt_cur.size=%zu\n", - __func__, ret, prompt_cur.size()); + if (!dp.drafting) { + continue; } + + n_drafting++; + drafting[seq_id] = true; + common_sampler_reset(smpls[seq_id].get()); + + common_batch_add(batch, dp.id_last, dp.n_past, { seq_id }, true); } - const llama_pos n_past = prompt_dft.size(); - - LOG_DBG("%s: n_past = %d\n", __func__, n_past); - - common_batch_clear(batch); - common_batch_add (batch, id_last, n_past, { 0 }, true); - - prompt_dft.push_back(id_last); - - LOG_DBG("%s: draft prompt: %s\n", __func__, string_from(ctx_dft, prompt_dft).c_str()); - int ret = llama_decode(ctx_dft, batch); - if (ret != 0 && ret != 1) { - LOG_WRN("%s: llama_decode returned %d, prompt_cur.size=%zu, prompt_dft.size=%zu\n", - __func__, ret, prompt_cur.size(), prompt_dft.size()); + if (ret != 0) { + LOG_WRN("%s: llama_decode returned %d\n", __func__, ret); + return; } - common_sampler_reset(smpl); + int i = 0; + + while (n_drafting > 0) { + int i_batch = 0; - // sample n_draft tokens from the draft model - for (int i = 0; i < sparams.n_max; ++i) { common_batch_clear(batch); - common_sampler_sample(smpl, ctx_dft, 0, true); + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) n_seq; ++seq_id) { + if (!drafting[seq_id]) { + continue; + } - const auto * cur_p = common_sampler_get_candidates(smpl, true); + auto * smpl = smpls[seq_id].get(); - for (int k = 0; k < std::min(3, (int) cur_p->size); ++k) { - LOG_DBG(" - draft candidate %3d, pos %3d: %6d (%8.3f) '%s'\n", - k, i, cur_p->data[k].id, cur_p->data[k].p, common_token_to_piece(ctx_dft, cur_p->data[k].id).c_str()); + common_sampler_sample(smpl, ctx_dft, i_batch, true); + ++i_batch; + + const auto * cur_p = common_sampler_get_candidates(smpl, true); + + for (int k = 0; k < std::min(3, (int) cur_p->size); ++k) { + LOG_DBG(" - seq_id %d, draft candidate %3d, pos %3d: %6d (%8.3f) '%s'\n", + seq_id, k, i, cur_p->data[k].id, cur_p->data[k].p, + common_token_to_piece(ctx_dft, cur_p->data[k].id).c_str()); + } + + // add drafted token for each sequence + const llama_token id = cur_p->data[0].id; + + // only collect very high-confidence draft tokens + if (cur_p->data[0].p < params.p_min) { + drafting[seq_id] = false; + n_drafting--; + + continue; + } + + common_sampler_accept(smpl, id, true); + + auto & dp = dparams.at(seq_id); + auto & result = *dp.result; + + result.push_back(id); + + if ((params.n_max <= (int) result.size()) || + (dp.n_max > 0 && dp.n_max <= (int) result.size())) { + drafting[seq_id] = false; + n_drafting--; + continue; + } + + common_batch_add(batch, id, dp.n_past + i + 1, { seq_id }, true); } - // add drafted token for each sequence - const llama_token id = cur_p->data[0].id; - - common_sampler_accept(smpl, id, true); - - result.push_back(id); - - if (sparams.n_max <= (int) result.size()) { + if (batch.n_tokens == 0) { break; } - // only collect very high-confidence draft tokens - if (cur_p->data[0].p < sparams.p_min) { - break; - } - - common_batch_add(batch, id, n_past + i + 1, { 0 }, true); - // evaluate the drafted tokens on the draft model ret = llama_decode(ctx_dft, batch); if (ret != 0) { - LOG_WRN("%s: llama_decode[%d] returned %d, prompt_cur.size=%zu, prompt_dft.size=%zu\n", - __func__, i, ret, prompt_cur.size(), prompt_dft.size()); + LOG_WRN("%s: llama_decode[%d] returned %d\n", __func__, i, ret); + break; } - prompt_dft.push_back(id); + ++i; } - if (!spec->vocab_cmpt) { - std::string detokenized = common_detokenize(ctx_dft, result, true); - detokenized = replace_to_tgt(detokenized); - LOG_DBG("draft->main detokenized string: '%s'\n", detokenized.c_str()); - result = common_tokenize(ctx_tgt, detokenized, false, true); - if (result.size() > (size_t) sparams.n_max) { - result.resize(sparams.n_max); + for (auto & dp : dparams) { + if (!dp.drafting) { + continue; } - } - if (result.size() < (size_t) sparams.n_min) { - result.clear(); + if (dp.result->size() < (size_t) params.n_min) { + dp.result->clear(); + } } } - void accept(uint16_t n_accepted) override { + void accept(llama_seq_id /*seq_id*/, uint16_t /*n_accepted*/) override { // noop - GGML_UNUSED(n_accepted); - } - - int32_t n_max(const common_params_speculative & params) const override { - return params.draft.n_max; - } - - int32_t n_min(const common_params_speculative & params) const override { - return params.draft.n_min; - } - - std::string replace_to_dft(const std::string & input) const { - std::string result = input; - - for (const auto & pair : this->vocab_map) { - size_t pos = result.find(pair.first); - while (pos != std::string::npos) { - result.replace(pos, pair.first.length(), pair.second); - pos = result.find(pair.first, pos + pair.second.length()); - } - } - - return result; - } - - std::string replace_to_tgt(const std::string & input) const { - std::string result = input; - - for (const auto & pair : this->vocab_map) { - size_t pos = result.find(pair.second); - while (pos != std::string::npos) { - result.replace(pos, pair.second.length(), pair.first); - pos = result.find(pair.second, pos + pair.first.length()); - } - } - - return result; } }; -struct common_speculative_state_eagle3 : public common_speculative_state { - common_speculative_state_eagle3(enum common_speculative_type type) : common_speculative_state(type) {} +struct common_speculative_impl_draft_eagle3 : public common_speculative_impl { + //common_params_speculative_eagle3 params; - void begin(const llama_tokens & prompt) override { - GGML_UNUSED(prompt); - } + common_speculative_impl_draft_eagle3(const common_params_speculative & /*params*/, uint32_t n_seq) + : common_speculative_impl(COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3, n_seq) {} - void draft( - const common_params_speculative & params, - const llama_tokens & prompt_tgt, - llama_token id_last, - llama_tokens & draft_tokens) override { - // TODO: implement - GGML_UNUSED(params); - GGML_UNUSED(prompt_tgt); - GGML_UNUSED(id_last); - GGML_UNUSED(draft_tokens); - } - - void accept(uint16_t n_accepted) override { + void begin(llama_seq_id /*seq_id*/, const llama_tokens & /*prompt*/) override { // noop - GGML_UNUSED(n_accepted); } - int32_t n_max(const common_params_speculative & params) const override { - return params.draft.n_max; + bool process(const llama_batch & /*batch*/) override { + // TODO: implement + return true; } - int32_t n_min(const common_params_speculative & params) const override { - return params.draft.n_min; + void draft(common_speculative_draft_params_vec & /*dparams*/) override { + // TODO: implement + } + + void accept(llama_seq_id /*seq_id*/, uint16_t /*n_accepted*/) override { + // noop } }; // state of self-speculation (simple implementation, not ngram-map) -struct common_speculative_state_ngram_simple : public common_speculative_state { +struct common_speculative_impl_ngram_simple : public common_speculative_impl { + common_params_speculative_ngram_map params; + + // shared across all sequences common_ngram_simple_config config; - common_speculative_state_ngram_simple( - enum common_speculative_type type, + common_speculative_impl_ngram_simple( + const common_params_speculative & params, uint32_t n_seq, common_ngram_simple_config config) - : common_speculative_state(type), config(config) {} + : common_speculative_impl(COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE, n_seq) + , params(params.ngram_simple) + , config(config) {} - void begin(const llama_tokens & prompt) override { - GGML_UNUSED(prompt); - } - - void draft( - const common_params_speculative & params, - const llama_tokens & prompt_tgt, - llama_token id_last, - llama_tokens & result) override { - - result = common_ngram_simple_draft(config, prompt_tgt, id_last); - GGML_UNUSED(params); - } - - void accept(uint16_t n_accepted) override { + void begin(llama_seq_id /*seq_id*/, const llama_tokens & /*prompt*/) override { // noop - GGML_UNUSED(n_accepted); } - int32_t n_max(const common_params_speculative & /*params*/) const override { - return config.size_mgram; + bool process(const llama_batch & /*batch*/) override { + // TODO: implement + return true; } - int32_t n_min(const common_params_speculative & /*params*/) const override { - return config.size_mgram; + void draft(common_speculative_draft_params_vec & dparams) override { + assert(dparams.size() == n_seq); + + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) n_seq; ++seq_id) { + auto & dp = dparams[seq_id]; + if (!dp.drafting) { + continue; + } + + *dp.result = common_ngram_simple_draft(config, *dp.prompt, dp.id_last); + } + } + + void accept(llama_seq_id /*seq_id*/, uint16_t /*n_accepted*/) override { + // noop } }; -struct common_speculative_state_ngram_map_k : public common_speculative_state { - // draft ngram map for speculative decoding without draft model - common_ngram_map config; +struct common_speculative_impl_ngram_map_k : public common_speculative_impl { + common_params_speculative_ngram_map params; - common_speculative_state_ngram_map_k( - enum common_speculative_type type, - common_ngram_map config) - : common_speculative_state(type), config(std::move(config)) {} + // n_seq configs + std::vector<common_ngram_map> config; - void begin(const llama_tokens & prompt) override { - common_ngram_map_begin(config, prompt); - } - - void draft( + common_speculative_impl_ngram_map_k( const common_params_speculative & params, - const llama_tokens & prompt_tgt, - llama_token id_last, - llama_tokens & result) override { - common_ngram_map_draft(config, prompt_tgt, id_last, result); - GGML_UNUSED(params); + const common_ngram_map & config, + uint32_t n_seq) + : common_speculative_impl(COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K, n_seq) + , params(params.ngram_map_k) { + for (uint32_t i = 0; i < n_seq; i++) { + this->config.push_back(config); + } } - void accept(uint16_t n_accepted) override { - common_ngram_map_accept(config, n_accepted); + void begin(llama_seq_id seq_id, const llama_tokens & prompt) override { + GGML_ASSERT(seq_id < (llama_seq_id) n_seq); + + common_ngram_map_begin(config[seq_id], prompt); } - int32_t n_max(const common_params_speculative & /*params*/) const override { - return config.size_value; + bool process(const llama_batch & /*batch*/) override { + // TODO: implement + return true; } - int32_t n_min(const common_params_speculative & /*params*/) const override { - return config.size_value; + void draft(common_speculative_draft_params_vec & dparams) override { + assert(dparams.size() == n_seq); + + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) n_seq; ++seq_id) { + auto & dp = dparams[seq_id]; + if (!dp.drafting) { + continue; + } + + common_ngram_map_draft(config[seq_id], *dp.prompt, dp.id_last, *dp.result); + } + } + + void accept(llama_seq_id seq_id, uint16_t n_accepted) override { + GGML_ASSERT((seq_id < (llama_seq_id) config.size())); + + common_ngram_map_accept(config[seq_id], n_accepted); } }; -struct common_speculative_state_ngram_mod : public common_speculative_state { - common_ngram_mod & mod; +struct common_speculative_impl_ngram_mod : public common_speculative_impl { + common_params_speculative_ngram_mod params; - // the last position in the prompt that was added to the ngram container - size_t i_last = 0; - - // length of the last drafted n‑gram (number of tokens returned by draft) - size_t n_draft_last = 0; - - // consecutive accept rounds with low acceptance fraction (< 0.5) - int n_low = 0; + // shared across all sequences + common_ngram_mod mod; // enable trace logging if LLAMA_TRACE is set const bool verbose; - common_speculative_state_ngram_mod(enum common_speculative_type type, common_ngram_mod & mod) - : common_speculative_state(type), mod(mod), verbose(std::getenv("LLAMA_TRACE") != nullptr) { + struct seq_info { + // the last position in the prompt that was added to the ngram container + size_t i_last = 0; + + // length of the last drafted n‑gram (number of tokens returned by draft) + size_t n_draft_last = 0; + + // consecutive accept rounds with low acceptance fraction (< 0.5) + int n_low = 0; + }; + + std::vector<seq_info> sinfos; + + common_speculative_impl_ngram_mod( + const common_params_speculative & params, + uint32_t n_seq) + : common_speculative_impl(COMMON_SPECULATIVE_TYPE_NGRAM_MOD, n_seq) + , params(params.ngram_mod) + , mod(params.ngram_mod.n_match, 4*1024*1024) + , verbose(std::getenv("LLAMA_TRACE") != nullptr) { static_assert(sizeof(llama_token) == sizeof(common_ngram_mod::entry_t)); + + LOG_INF("%s: initialized ngram_mod with n_match=%d, size=%zu (%.3f MB)\n", __func__, + this->params.n_match, mod.size(), (float)(mod.size_bytes())/1024/1024); + + if (this->params.n_match < 16) { + LOG_WRN("%s: ngram_mod n_match=%d is too small - poor quality is possible, " + "see: https://github.com/ggml-org/llama.cpp/pull/19164\n", __func__, this->params.n_match); + } + + sinfos.resize(n_seq); } - void begin(const llama_tokens & prompt) override { - i_last = 0; + void begin(llama_seq_id seq_id, const llama_tokens & prompt) override { + auto & sinfo = sinfos[seq_id]; - n_draft_last = 0; + sinfo.i_last = 0; + sinfo.n_draft_last = 0; const size_t n = mod.get_n(); - if (prompt.size() < n) { return; } @@ -715,7 +510,7 @@ struct common_speculative_state_ngram_mod : public common_speculative_state { mod.add(prompt.data() + i); } - i_last = prompt.size() - n; + sinfo.i_last = prompt.size() - n; const double f = (double)mod.get_used() / (double)mod.size(); LOG_INF("%s: ngram_mod occupancy = %zu/%zu (%.2f)\n", __func__, mod.get_used(), mod.size(), f); @@ -728,16 +523,17 @@ struct common_speculative_state_ngram_mod : public common_speculative_state { } } - void draft( - const common_params_speculative & params, - const llama_tokens & prompt_tgt, - llama_token id_last, - llama_tokens & result) override { - const auto & sparams = params.ngram_mod; + void draft_one( + llama_seq_id seq_id, + common_speculative_draft_params & dparams) { + auto & sinfo = sinfos[seq_id]; + auto & result = *dparams.result; - n_draft_last = 0; + const auto & prompt = *dparams.prompt; - const size_t cur_len = prompt_tgt.size(); + sinfo.n_draft_last = 0; + + const size_t cur_len = prompt.size(); if (cur_len < mod.get_n()) { return; } @@ -745,24 +541,24 @@ struct common_speculative_state_ngram_mod : public common_speculative_state { const size_t n = mod.get_n(); // add new ngrams in chunks - if (i_last + 32 < cur_len) { - for (size_t i = i_last; i < cur_len - n; ++i) { - mod.add(prompt_tgt.data() + i); + if (sinfo.i_last + 32 < cur_len) { + for (size_t i = sinfo.i_last; i < cur_len - n; ++i) { + mod.add(prompt.data() + i); } - i_last = cur_len - n; + sinfo.i_last = cur_len - n; } - result.resize(n + sparams.n_max); + result.resize(n + params.n_max); for (size_t i = 0; i < n - 1; ++i) { - result[i] = prompt_tgt[cur_len - n + 1 + i]; + result[i] = prompt.at(cur_len - n + 1 + i); } - result[n - 1] = id_last; + result[n - 1] = dparams.id_last; - for (int i = 0; i < sparams.n_max; ++i) { + for (int i = 0; i < params.n_max; ++i) { const llama_token token = mod.get(result.data() + i); if (token == common_ngram_mod::EMPTY) { - if (i < sparams.n_min) { + if (i < params.n_min) { result.clear(); return; } @@ -780,67 +576,92 @@ struct common_speculative_state_ngram_mod : public common_speculative_state { result.resize(result.size() - n); // store length of drafted n‑gram for later acceptance analysis - n_draft_last = result.size(); + sinfo.n_draft_last = result.size(); } - void accept(uint16_t n_accepted) override { - if (verbose) { - LOG_INF("%s: accepted %d tokens from %zu drafted tokens\n", __func__, n_accepted, n_draft_last); + bool process(const llama_batch & /*batch*/) override { + // TODO: implement + return true; + } + + void draft(common_speculative_draft_params_vec & dparams) override { + assert(dparams.size() == n_seq); + + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) n_seq; ++seq_id) { + auto & dp = dparams[seq_id]; + if (!dp.drafting) { + continue; + } + + draft_one(seq_id, dp); } + } + + void accept(llama_seq_id seq_id, uint16_t n_accepted) override { + auto & sinfo = sinfos[seq_id]; // compute acceptance fraction if we have a recorded draft length - if (n_draft_last > 0) { - const double f_acc = (double)n_accepted / (double)n_draft_last; + if (sinfo.n_draft_last > 0) { + const double f_acc = (double)n_accepted / (double)sinfo.n_draft_last; if (f_acc < 0.5) { - n_low++; - if (n_low >= 3) { - LOG_WRN("%s: low acceptance streak (%d) – resetting ngram_mod\n", __func__, n_low); + sinfo.n_low++; + if (sinfo.n_low >= 3) { + if (verbose) { + LOG_WRN("%s: low acceptance streak (%d) – resetting ngram_mod\n", __func__, sinfo.n_low); + } mod.reset(); - n_low = 0; - i_last = 0; + sinfo.n_low = 0; + sinfo.i_last = 0; } } else { - n_low = 0; + sinfo.n_low = 0; } } } - - int32_t n_max(const common_params_speculative & params) const override { - return params.ngram_mod.n_max; - } - - int32_t n_min(const common_params_speculative & params) const override { - return params.ngram_mod.n_min; - } }; -struct common_speculative_state_ngram_cache : public common_speculative_state { +struct common_speculative_impl_ngram_cache : public common_speculative_impl { + common_params_speculative_ngram_cache params; + uint16_t n_draft; + bool save_dynamic; bool save_static; - common_ngram_cache ngram_cache_context; - common_ngram_cache ngram_cache_dynamic; - common_ngram_cache ngram_cache_static; + struct seq_info { + size_t cache_size = 0; // number of tokens in n-gram cache - size_t cache_size = 0; // number of tokens in n-gram cache + common_ngram_cache ngram_cache_context; + common_ngram_cache ngram_cache_dynamic; + common_ngram_cache ngram_cache_static; + }; - common_speculative_state_ngram_cache( - const enum common_speculative_type type, + std::vector<seq_info> sinfos; + + common_speculative_impl_ngram_cache( + const common_params_speculative & params, + uint32_t n_seq, + uint16_t n_draft, const std::string & path_static, const std::string & path_dynamic, - uint16_t n_draft, - bool save_dynamic, - bool save_static) - : common_speculative_state(type) + bool save_dynamic, + bool save_static) + : common_speculative_impl(COMMON_SPECULATIVE_TYPE_NGRAM_CACHE, n_seq) + , params(params.ngram_cache) , n_draft(n_draft) , save_dynamic(save_dynamic) , save_static(save_static) { + sinfos.resize(n_seq); + if (!path_static.empty()) { try { - ngram_cache_static = common_ngram_cache_load(path_static); + auto ngram_cache_static = common_ngram_cache_load(path_static); + + for (auto & sinfo : sinfos) { + sinfo.ngram_cache_static = ngram_cache_static; + } } catch (...) { LOG_ERR("failed to open static lookup cache: %s", path_static.c_str()); GGML_ABORT("Couldn't read static lookup cache"); @@ -849,7 +670,11 @@ struct common_speculative_state_ngram_cache : public common_speculative_state { if (!path_dynamic.empty()) { try { - ngram_cache_dynamic = common_ngram_cache_load(path_dynamic); + auto ngram_cache_dynamic = common_ngram_cache_load(path_dynamic); + + for (auto & sinfo : sinfos) { + sinfo.ngram_cache_dynamic = ngram_cache_dynamic; + } } catch (...) { LOG_ERR("failed to open dynamic lookup cache: %s", path_dynamic.c_str()); GGML_ABORT("Couldn't read dynamic lookup cache"); @@ -857,44 +682,48 @@ struct common_speculative_state_ngram_cache : public common_speculative_state { } } - void begin(const llama_tokens & prompt) override { - GGML_UNUSED(prompt); + void begin(llama_seq_id /*seq_id*/, const llama_tokens & /*prompt*/) override { + // noop } - void draft( - const common_params_speculative & params, - const llama_tokens & prompt_tgt, - llama_token id_last, - llama_tokens & result) override { - GGML_UNUSED(params); + void draft_one( + llama_seq_id seq_id, + common_speculative_draft_params & dparams) { + auto & sinfo = sinfos[seq_id]; + auto & result = *dparams.result; - if (cache_size < prompt_tgt.size() + 1) { + const auto & prompt = *dparams.prompt; + + if (sinfo.cache_size < prompt.size() + 1) { llama_tokens tokens_new; - tokens_new.reserve(prompt_tgt.size() + 1 - cache_size); - for (size_t j = cache_size; j < prompt_tgt.size(); ++j) { - tokens_new.push_back(prompt_tgt[j]); + tokens_new.reserve(prompt.size() + 1 - sinfo.cache_size); + for (size_t j = sinfo.cache_size; j < prompt.size(); ++j) { + tokens_new.push_back(prompt[j]); } - tokens_new.push_back(id_last); // add the last token + tokens_new.push_back(dparams.id_last); // add the last token - // Update context ngram cache with new prompt_tgt: - common_ngram_cache_update(ngram_cache_context, LLAMA_NGRAM_MIN, LLAMA_NGRAM_MAX, + // Update context ngram cache with new dparams.prompt: + common_ngram_cache_update( + sinfo.ngram_cache_context, + LLAMA_NGRAM_MIN, LLAMA_NGRAM_MAX, tokens_new, tokens_new.size(), false); - cache_size = prompt_tgt.size() + 1; + sinfo.cache_size = prompt.size() + 1; } llama_tokens inp; - inp.reserve(prompt_tgt.size() + 1); - for (size_t j = 0; j < prompt_tgt.size(); ++j) { - inp.push_back(prompt_tgt[j]); + inp.reserve(prompt.size() + 1); + for (size_t j = 0; j < prompt.size(); ++j) { + inp.push_back(prompt[j]); } - inp.push_back(id_last); + inp.push_back(dparams.id_last); - result.push_back(id_last); + result.push_back(dparams.id_last); - common_ngram_cache_draft(inp, result, n_draft, LLAMA_NGRAM_MIN, LLAMA_NGRAM_MAX, - ngram_cache_context, - ngram_cache_dynamic, - ngram_cache_static); + common_ngram_cache_draft( + inp, result, n_draft, LLAMA_NGRAM_MIN, LLAMA_NGRAM_MAX, + sinfo.ngram_cache_context, + sinfo.ngram_cache_dynamic, + sinfo.ngram_cache_static); if (result.size() > 0) { // delete first token in result (which is the id_last token) @@ -902,24 +731,37 @@ struct common_speculative_state_ngram_cache : public common_speculative_state { } } - void accept(uint16_t n_accepted) override { - // TODO: noop - GGML_UNUSED(n_accepted); + bool process(const llama_batch & /*batch*/) override { + // TODO: implement + return true; } - int32_t n_max(const common_params_speculative & /*params*/) const override { - return n_draft; + void draft(common_speculative_draft_params_vec & dparams) override { + assert(dparams.size() == n_seq); + + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) n_seq; ++seq_id) { + auto & dp = dparams[seq_id]; + if (!dp.drafting) { + continue; + } + + draft_one(seq_id, dp); + } } - int32_t n_min(const common_params_speculative & /*params*/) const override { - return 0; + void accept(llama_seq_id /*seq_id*/, uint16_t /*n_accepted*/) override { + // noop } }; struct common_speculative { - std::vector<std::unique_ptr<common_speculative_state>> impls; // list of implementations to use and their states + common_speculative_draft_params_vec dparams; - common_speculative_state * curr_impl = nullptr; // current implementation in use (for stats) + // list of implementations to use and their states + std::vector<std::unique_ptr<common_speculative_impl>> impls; + + // which implementaion was used for a given seq_id + std::vector<common_speculative_impl *> impl_last; }; static common_ngram_map get_common_ngram_map( @@ -933,46 +775,80 @@ static common_ngram_map get_common_ngram_map( return common_ngram_map(size_key, size_value, key_only, min_hits); } -static common_speculative_state_ngram_cache create_state_ngram_cache( - const std::string & path_static, const std::string & path_dynamic, - const common_speculative_config & config) { +static common_speculative_impl_ngram_cache create_state_ngram_cache( + const common_speculative_config & config, + uint32_t n_seq, + const std::string & path_static, + const std::string & path_dynamic) { uint16_t n_draft = 8; // TODO get from config? // TODO bool param in common/common.h to set save_static/save_dynamic? bool save_static = false; bool save_dynamic = false; - common_speculative_state_ngram_cache state(config.type, path_static, path_dynamic, n_draft, save_static, save_dynamic); + common_speculative_impl_ngram_cache state(config.params, n_seq, n_draft, path_static, path_dynamic, save_static, save_dynamic); return state; } -std::string common_speculative_type_name_str() { +std::string common_speculative_type_name_str(const std::vector<common_speculative_type> & types) { std::string result; - for (size_t i = 0; i < common_speculative_types.size(); i++) { + + for (size_t i = 0; i < types.size(); i++) { if (i > 0) { - result += ", "; + result += ","; } - result += common_speculative_type_to_str(common_speculative_types[i]); + result += common_speculative_type_to_str(types[i]); } return result; } -std::string common_speculative_type_to_str(enum common_speculative_type type) { +const char * common_speculative_all_types_str() { + static std::string all_types_str = []() { + std::vector<common_speculative_type> types; + types.reserve(COMMON_SPECULATIVE_TYPE_COUNT); + for (int i = 0; i < COMMON_SPECULATIVE_TYPE_COUNT; i++) { + types.push_back((common_speculative_type) i); + } + return common_speculative_type_name_str(types); + }(); + return all_types_str.c_str(); +} + +std::string common_speculative_type_to_str(common_speculative_type type) { switch (type) { case COMMON_SPECULATIVE_TYPE_NONE: return "none"; - case COMMON_SPECULATIVE_TYPE_DRAFT: return "draft"; - case COMMON_SPECULATIVE_TYPE_EAGLE3: return "eagle3"; - case COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE: return "ngram_simple"; - case COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K: return "ngram_map_k"; - case COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V: return "ngram_map_k4v"; - case COMMON_SPECULATIVE_TYPE_NGRAM_MOD: return "ngram_mod"; - case COMMON_SPECULATIVE_TYPE_NGRAM_CACHE: return "ngram_cache"; + case COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE: return "draft-simple"; + case COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3: return "draft-eagle3"; + case COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE: return "ngram-simple"; + case COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K: return "ngram-map-k"; + case COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V: return "ngram-map-k4v"; + case COMMON_SPECULATIVE_TYPE_NGRAM_MOD: return "ngram-mod"; + case COMMON_SPECULATIVE_TYPE_NGRAM_CACHE: return "ngram-cache"; default: return "unknown"; } } -enum common_speculative_type common_speculative_type_from_name(const std::string & name) { +std::vector<common_speculative_type> common_speculative_types_from_names(const std::vector<std::string> & names) { + std::vector<common_speculative_type> types; + types.reserve(names.size()); + + for (const auto & name : names) { + auto type = common_speculative_type_from_name_map.find(name); + if (type != common_speculative_type_from_name_map.end()) { + if (type->second == COMMON_SPECULATIVE_TYPE_NONE) { + return std::vector<common_speculative_type> { COMMON_SPECULATIVE_TYPE_NONE }; + } + types.push_back(type->second); + continue; + } + throw std::invalid_argument("unknown speculative type: " + name); + } + + return types; +} + +common_speculative_type common_speculative_type_from_name(const std::string & name) { const auto it = common_speculative_type_from_name_map.find(name); if (it == common_speculative_type_from_name_map.end()) { return COMMON_SPECULATIVE_TYPE_COUNT; @@ -980,34 +856,39 @@ enum common_speculative_type common_speculative_type_from_name(const std::string return it->second; } +static uint32_t common_get_enabled_speculative_configs(const std::vector<common_speculative_type> & configs) { + uint32_t result = 0; + for (size_t i = 0; i < configs.size(); i++) { + result |= (1u << configs[i]); + } + return result; +} + // initialization of the speculative decoding system // -common_speculative * common_speculative_init( - common_params_speculative & params, - llama_context * ctx_tgt) { - llama_context * ctx_dft = nullptr; - if (params.draft.model) { - ctx_dft = llama_init_from_model(params.draft.model, params.draft.cparams); - if (ctx_dft == nullptr) { - LOG_ERR("%s", "failed to create draft context\n"); - return nullptr; - } - } - +common_speculative * common_speculative_init(common_params_speculative & params, uint32_t n_seq) { // Compute the implementations to use based on the config and their order of preference std::vector<common_speculative_config> configs = {}; // list of speculative configs to try { - bool has_draft = !params.draft.mparams.path.empty(); + uint32_t enabled_configs = common_get_enabled_speculative_configs(params.types); + + bool has_draft_model_path = !params.draft.mparams.path.empty(); + + bool has_draft_simple = (enabled_configs & (1u << COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE)); + // bool has_mtp = false; // TODO: add MTP here bool has_draft_eagle3 = false; // TODO PR-18039: if params.speculative.eagle3 - bool has_ngram_cache = (params.type == COMMON_SPECULATIVE_TYPE_NGRAM_CACHE); - bool has_ngram_simple = (params.type == COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE); - bool has_ngram_map_k = (params.type == COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K); - bool has_ngram_map_k4v = (params.type == COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V); - bool has_ngram_mod = (params.type == COMMON_SPECULATIVE_TYPE_NGRAM_MOD); + bool has_ngram_cache = (enabled_configs & (1u << COMMON_SPECULATIVE_TYPE_NGRAM_CACHE)); + bool has_ngram_simple = (enabled_configs & (1u << COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE)); + bool has_ngram_map_k = (enabled_configs & (1u << COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K)); + bool has_ngram_map_k4v = (enabled_configs & (1u << COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V)); + bool has_ngram_mod = (enabled_configs & (1u << COMMON_SPECULATIVE_TYPE_NGRAM_MOD)); - // In a more complex implementation we could use the same implementation but with different parameters. - // This was initially used in PR-18471 but removed to simplify the code. + // when adding a new type - update here the logic above + static_assert(COMMON_SPECULATIVE_TYPE_COUNT == 8); + + // this list here defines the priority of the speculators + // the one with highest priority are listed first if (has_ngram_simple) { // This implementation can guess a lot of tokens without any draft model. configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE, params)); @@ -1020,53 +901,43 @@ common_speculative * common_speculative_init( configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V, params)); } if (has_ngram_mod) { - auto & sparams = params.ngram_mod; - - if (!sparams.obj) { - sparams.obj = std::make_shared<common_ngram_mod>(sparams.n_match, 4*1024*1024); - - LOG_INF("%s: initialized ngram_mod with n_match=%d, size=%zu (%.3f MB)\n", __func__, - sparams.n_match, sparams.obj->size(), (float)(sparams.obj->size_bytes())/1024/1024); - - if (sparams.n_match < 16) { - LOG_WRN("%s: ngram_mod n_match=%d is too small - poor quality is possible, " - "see: https://github.com/ggml-org/llama.cpp/pull/19164\n", __func__, sparams.n_match); - } - } - configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_NGRAM_MOD, params)); } if (has_ngram_cache) { configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_NGRAM_CACHE, params)); } - if (has_draft) { - configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_DRAFT, params)); + if (has_draft_simple) { + if (!has_draft_model_path) { + LOG_WRN("%s: draft model is not specified - cannot use 'draft' type\n", __func__); + has_draft_simple = false; + } + } else if (has_draft_model_path) { + LOG_WRN("%s: draft model is specified but 'draft' speculative type is not explicitly enabled - enabling it\n", __func__); + has_draft_simple = true; } + + if (has_draft_simple) { + configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE, params)); + } + // TODO: add MTP here if (has_draft_eagle3) { - configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_EAGLE3, params)); + configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3, params)); } } - std::vector<std::unique_ptr<common_speculative_state>> impls = {}; + std::vector<std::unique_ptr<common_speculative_impl>> impls = {}; for (const common_speculative_config & config : configs) { - LOG_DBG("%s: adding implementation %s\n", __func__, common_speculative_type_to_str(config.type).c_str()); + LOG_INF("%s: adding speculative implementation '%s'\n", __func__, common_speculative_type_to_str(config.type).c_str()); switch (config.type) { case COMMON_SPECULATIVE_TYPE_NONE: break; - case COMMON_SPECULATIVE_TYPE_DRAFT: { - const bool use_ckpt = common_context_can_seq_rm(ctx_dft) == COMMON_CONTEXT_SEQ_RM_TYPE_FULL; - - impls.push_back(std::make_unique<common_speculative_state_draft>(config.type, - /* .ctx_tgt = */ ctx_tgt, - /* .ctx_dft = */ ctx_dft, - /* .replacements = */ params.draft.replacements, - /* .use_ckpt = */ use_ckpt - )); + case COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE: { + impls.push_back(std::make_unique<common_speculative_impl_draft_simple>(config.params, n_seq)); break; } - case COMMON_SPECULATIVE_TYPE_EAGLE3: { - impls.push_back(std::make_unique<common_speculative_state_eagle3>(config.type)); + case COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3: { + impls.push_back(std::make_unique<common_speculative_impl_draft_eagle3>(config.params, n_seq)); break; } case COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE: { @@ -1079,29 +950,32 @@ common_speculative * common_speculative_init( /* .size_ngram = */ ngram_size_key, /* .size_mgram = */ mgram_size_value }; - auto state = std::make_unique<common_speculative_state_ngram_simple>( - /* .type = */ config.type, - /* .state = */ config_simple + auto state = std::make_unique<common_speculative_impl_ngram_simple>( + /* .params = */ config.params, + /* .n_seq = */ n_seq, + /* .state = */ config_simple ); impls.push_back(std::move(state)); break; } case COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K: case COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V: { - impls.push_back(std::make_unique<common_speculative_state_ngram_map_k>( - (config.type), - get_common_ngram_map(config.type, config.params.ngram_map_k) - )); + impls.push_back( + std::make_unique<common_speculative_impl_ngram_map_k>( + config.params, get_common_ngram_map(config.type, config.params.ngram_map_k), n_seq)); break; } case COMMON_SPECULATIVE_TYPE_NGRAM_MOD: { - GGML_ASSERT(config.params.ngram_mod.obj); - impls.push_back(std::make_unique<common_speculative_state_ngram_mod>(config.type, *config.params.ngram_mod.obj)); + impls.push_back( + std::make_unique<common_speculative_impl_ngram_mod>(config.params, n_seq)); break; } case COMMON_SPECULATIVE_TYPE_NGRAM_CACHE: { - auto state = create_state_ngram_cache(params.ngram_cache.lookup_cache_static, params.ngram_cache.lookup_cache_dynamic, config); - impls.push_back(std::make_unique<common_speculative_state_ngram_cache>(state)); + auto state = create_state_ngram_cache( + config, n_seq, + params.ngram_cache.lookup_cache_static, + params.ngram_cache.lookup_cache_dynamic); + impls.push_back(std::make_unique<common_speculative_impl_ngram_cache>(state)); break; } default: @@ -1115,8 +989,9 @@ common_speculative * common_speculative_init( } auto * result = new common_speculative { + /* .dparams = */ common_speculative_draft_params_vec(n_seq), /* .impls = */ std::move(impls), - /* .curr_impl = */ nullptr, + /* .impl_last = */ std::vector<common_speculative_impl *>(n_seq, nullptr) }; return result; @@ -1130,65 +1005,128 @@ void common_speculative_free(common_speculative * spec) { delete spec; } -void common_speculative_begin(common_speculative * spec, const llama_tokens & prompt) { +common_speculative_draft_params & common_speculative_get_draft_params( + common_speculative * spec, + llama_seq_id seq_id) { + GGML_ASSERT(spec); + GGML_ASSERT(seq_id < (llama_seq_id) spec->dparams.size()); + + return spec->dparams[seq_id]; +} + +void common_speculative_begin(common_speculative * spec, llama_seq_id seq_id, const llama_tokens & prompt) { if (spec == nullptr) { return; } for (auto & impl : spec->impls) { common_time_meas tm(impl->t_begin_us, !impl->gen_perf); - impl->begin(prompt); + impl->begin(seq_id, prompt); impl->n_call_begin++; } } -llama_tokens common_speculative_draft( - common_speculative * spec, - const common_params_speculative & params, - const llama_tokens & prompt_tgt, // specified in target model vocab - llama_token id_last) { - llama_tokens result; +bool common_speculative_process(common_speculative * spec, const llama_batch & batch) { + bool result = true; - spec->curr_impl = nullptr; // reset current implementation + if (spec == nullptr) { + return result; + } for (auto & impl : spec->impls) { - { - common_time_meas tm(impl->t_draft_us, !impl->gen_perf); - impl->draft(params, prompt_tgt, id_last, result); - impl->n_call_draft++; - } - - { - const int n_min = impl->n_min(params); - - if (!result.empty() && (int) result.size() < n_min) { - LOG_DBG("%s: ignoring small draft: %d < %d\n", __func__, (int) result.size(), n_min); - result.clear(); - } - } - - if (!result.empty()) { - LOG_DBG("%s: called impl %s, hist size = %zu, call_count = %zu, gen = %zu\n", __func__, - common_speculative_type_to_str(impl.get()->type).c_str(), prompt_tgt.size(), - impl.get()->n_call_draft, result.size()); - - spec->curr_impl = impl.get(); // set current implementation for stats - impl->n_gen_drafts++; - impl->n_gen_tokens += result.size(); - - break; // we have a draft, so break out of the loop and return it. - } + result = result && impl->process(batch); } return result; } -void common_speculative_accept(common_speculative * spec, uint16_t n_accepted) { +void common_speculative_draft(common_speculative * spec) { + if (spec == nullptr) { + return; + } + + auto & dparams = spec->dparams; + + { + int n_drafting = 0; + + for (auto & dp : dparams) { + GGML_ASSERT(!dp.drafting || dp.result->empty()); + + if (dp.drafting) { + n_drafting++; + } + } + + if (n_drafting == 0) { + return; + } + } + + for (auto & impl : spec->impls) { + { + common_time_meas tm(impl->t_draft_us, !impl->gen_perf); + impl->draft(dparams); + impl->n_call_draft++; + } + + int n_drafting = 0; + + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) dparams.size(); ++seq_id) { + auto & dp = dparams[seq_id]; + + auto & result = *dp.result; + + // a new draft has been sampled + if (dp.drafting && !result.empty()) { + dp.drafting = false; + + if (dp.n_max > 0) { + if (!result.empty() && (int) result.size() > dp.n_max) { + LOG_DBG("%s: truncating draft to %d tokens\n", __func__, dp.n_max); + result.resize(dp.n_max); + } + } + + if (!result.empty()) { + LOG_DBG("%s: called impl %s, hist size = %zu, call_count = %zu, gen = %zu\n", __func__, + common_speculative_type_to_str(impl.get()->type).c_str(), dp.prompt->size(), + impl.get()->n_call_draft, result.size()); + + // remember which implementation was used + spec->impl_last[seq_id] = impl.get(); + + impl->n_gen_drafts++; + impl->n_gen_tokens += result.size(); + } + } + + if (dp.drafting) { + n_drafting++; + } + } + + if (n_drafting == 0) { + break; + } + } + + // these sequences failed to generate a draft + for (llama_seq_id seq_id = 0; seq_id < (llama_seq_id) dparams.size(); ++seq_id) { + auto & dp = dparams[seq_id]; + + if (dp.drafting) { + dp.drafting = false; + } + } +} + +void common_speculative_accept(common_speculative * spec, llama_seq_id seq_id, uint16_t n_accepted) { if (n_accepted == 0) { return; } - common_speculative_state * impl = spec->curr_impl; + common_speculative_impl * impl = spec->impl_last[seq_id]; GGML_ASSERT(impl); @@ -1199,37 +1137,11 @@ void common_speculative_accept(common_speculative * spec, uint16_t n_accepted) { impl->n_acc_tokens += n_accepted; } - impl->accept(n_accepted); + impl->accept(seq_id, n_accepted); impl->n_call_accept++; } } -int32_t common_speculative_n_max(const common_speculative * spec, const common_params_speculative & params) { - if (spec == nullptr) { - return 0; - } - - int32_t n_max = 0; - for (const auto & impl : spec->impls) { - n_max = std::max(n_max, impl->n_max(params)); - } - - return n_max; -} - -int32_t common_speculative_n_min(const common_speculative * spec, const common_params_speculative & params) { - if (spec == nullptr) { - return 0; - } - - int32_t n_min = 0; - for (const auto & impl : spec->impls) { - n_min = std::max(n_min, impl->n_min(params)); - } - - return n_min; -} - void common_speculative_print_stats(const common_speculative * spec) { if (spec == nullptr) { return; diff --git a/common/speculative.h b/common/speculative.h index 1474476317..51f0b059fa 100644 --- a/common/speculative.h +++ b/common/speculative.h @@ -5,8 +5,14 @@ struct common_speculative; +// comma separated list the provided types +std::string common_speculative_type_name_str(const std::vector<enum common_speculative_type> & types); + // comma separated list of all types -std::string common_speculative_type_name_str(); +const char * common_speculative_all_types_str(); + +// parse user provided types +std::vector<enum common_speculative_type> common_speculative_types_from_names(const std::vector<std::string> & names); // convert string to type enum common_speculative_type common_speculative_type_from_name(const std::string & name); @@ -14,27 +20,44 @@ enum common_speculative_type common_speculative_type_from_name(const std::string // convert type to string std::string common_speculative_type_to_str(enum common_speculative_type type); -common_speculative * common_speculative_init( - common_params_speculative & params, - llama_context * ctx_tgt); +common_speculative * common_speculative_init(common_params_speculative & params, uint32_t n_seq); void common_speculative_free(common_speculative * spec); +struct common_speculative_draft_params { + // this flag is used to chain the drafts through all the available implementations + // after the first successful draft from an implementation, we set it + // to false to prevent further drafts for that sequence + // at the end of the draft() call, all drafting flags will be reset to false + bool drafting = false; + + // overrides individual configurations (-1 disabled) + // can be used to constraint the max draft based on the remaining context size + int32_t n_max = -1; + + llama_pos n_past; + llama_token id_last; + + // TODO: remove in the future by keeping track of the prompt from the _begin() call and the consecutive accept calls + const llama_tokens * prompt; + + // the generated draft from the last _draft() call + llama_tokens * result; +}; + +common_speculative_draft_params & common_speculative_get_draft_params(common_speculative * spec, llama_seq_id seq_id); + // optionally call once at the beginning of a new generation -void common_speculative_begin(common_speculative * spec, const llama_tokens & prompt); +void common_speculative_begin(common_speculative * spec, llama_seq_id seq_id, const llama_tokens & prompt); -// sample up to n_draft tokens and add them to the batch using the draft model -llama_tokens common_speculative_draft( - common_speculative * spec, - const common_params_speculative & params, - const llama_tokens & prompt, - llama_token id_last); +// process the batch and update the internal state of the speculative context +bool common_speculative_process(common_speculative * spec, const llama_batch & batch); -// informs the speculative decoder that n_accepted tokens were accepted by the target model -void common_speculative_accept(common_speculative * spec, uint16_t n_accepted); +// generate drafts for the sequences specified with `common_speculative_get_draft_params` +void common_speculative_draft(common_speculative * spec); -int32_t common_speculative_n_max(const common_speculative * spec, const common_params_speculative & params); -int32_t common_speculative_n_min(const common_speculative * spec, const common_params_speculative & params); +// informs the speculative context that n_accepted tokens were accepted by the target model +void common_speculative_accept(common_speculative * spec, llama_seq_id, uint16_t n_accepted); // print statistics about the speculative decoding void common_speculative_print_stats(const common_speculative * spec); diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py index 90c2b7094c..5cff868485 100755 --- a/convert_hf_to_gguf.py +++ b/convert_hf_to_gguf.py @@ -196,7 +196,10 @@ class ModelBase: logger.info(f"Using remote model with HuggingFace id: {remote_hf_model_id}") remote_tensors = gguf.utility.SafetensorRemote.get_list_tensors_hf_model(remote_hf_model_id) for name, remote_tensor in remote_tensors.items(): - tensors[name] = lambda r=remote_tensor: LazyTorchTensor.from_remote_tensor(r) + data_gen = lambda r=remote_tensor: LazyTorchTensor.from_remote_tensor(r) # noqa: E731 + if titem := self.filter_tensors((name, data_gen)): + tname, tgen = titem + tensors[tname] = tgen return tensors @@ -207,6 +210,7 @@ class ModelBase: part_names = ModelBase.get_model_part_names(self.dir_model, "pytorch_model", ".bin") tensor_names_from_index: set[str] = set() + tensor_names_from_parts: set[str] = set() if not self.is_mistral_format: index_name = "model.safetensors" if is_safetensors else "pytorch_model.bin" @@ -240,6 +244,7 @@ class ModelBase: assert model_part is not None for name in model_part.keys(): + tensor_names_from_parts.add(name) if is_safetensors: data: gguf.utility.LocalTensor = model_part[name] if self.lazy: @@ -253,11 +258,12 @@ class ModelBase: data_gen = lambda data=data_torch: LazyTorchTensor.from_eager(data) # noqa: E731 else: data_gen = lambda data=data_torch: data # noqa: E731 - tensors[name] = data_gen + if titem := self.filter_tensors((name, data_gen)): + tname, tgen = titem + tensors[tname] = tgen # verify tensor name presence and identify potentially missing files if len(tensor_names_from_index) > 0: - tensor_names_from_parts = set(tensors.keys()) if len(tensor_names_from_parts.symmetric_difference(tensor_names_from_index)) > 0: missing = sorted(tensor_names_from_index.difference(tensor_names_from_parts)) extra = sorted(tensor_names_from_parts.difference(tensor_names_from_index)) @@ -522,6 +528,18 @@ class ModelBase: for name, value in new_tensors.items(): self.model_tensors[name] = value + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.endswith("e_score_correction_bias"): + name = name.replace("e_score_correction_bias", "e_score_correction.bias") + + if "language_model." in name: + name = name.replace("language_model.", "") + + return name, gen + def get_tensors(self) -> Iterator[tuple[str, Tensor]]: for name, gen in self.model_tensors.items(): yield name, gen() @@ -619,9 +637,6 @@ class ModelBase: return raw, [out_features, n_super * 64] def _repack_nvfp4(self, name: str, weight: Tensor, scale: Tensor, scale2: Tensor, input_scale: Tensor): - if "language_model." in name: - name = name.replace("language_model.", "") - new_name = self.map_tensor_name(name) raw, shape = self._nvfp4_pack(weight, scale) @@ -640,7 +655,7 @@ class ModelBase: n_experts = self.find_hparam(["num_local_experts", "num_experts"], optional=True) or 0 consumed: list[str] = [] - for name in list(self.model_tensors.keys()): + for name in self.model_tensors.keys(): if not name.endswith(".weight"): continue scale_name = name.replace(".weight", ".weight_scale") @@ -695,7 +710,7 @@ class ModelBase: self._repack_nvfp4(name, weight, scale, scale2, input_scale) # Flush any remaining experts (fallback if n_experts was unknown) - for (bid, proj_type) in list(expert_blocks.keys()): + for bid, proj_type in list(expert_blocks.keys()): self._flush_nvfp4_experts((bid, proj_type), expert_blocks, expert_scales, expert_input_scales, expert_shapes, bid, proj_type) # Remove consumed tensors so get_tensors/modify_tensors won't see them @@ -728,9 +743,6 @@ class ModelBase: del experts, merged - def _needs_nvfp4_processing(self) -> bool: - return True - def prepare_tensors(self): # detect NVFP4 quantization (ModelOpt format) quant_algo = (self.hparams.get("quantization_config") or {}).get("quant_algo") @@ -761,7 +773,7 @@ class ModelBase: # NVFP4 weights are repacked and written directly to gguf_writer. # This must run before dequant_model so NVFP4 tensors are removed # from model_tensors, leaving only non-NVFP4 (e.g. FP8) for dequant. - if self._is_nvfp4 and self._needs_nvfp4_processing(): + if self._is_nvfp4: self._generate_nvfp4_tensors() self.dequant_model() @@ -1046,6 +1058,23 @@ class TextModel(ModelBase): if "model_arch" not in cls.__dict__: raise TypeError(f"Missing property 'model_arch' for {cls.__name__!r}") + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + # Skip multimodal tensors + if name.startswith(("mlp", "vit.", "vpm.", "siglip2.", "conformer.", "merger.", "resampler.", "sound_encoder.", "sound_projection.", "speech_embeddings.")) \ + or "visual." in name or "vision." in name or "audio." in name or "talker." in name \ + or "vision_" in name or "audio_" in name or "sam_model" in name \ + or "token2wav." in name or "code2wav." in name \ + or "projector." in name or "pre_mm_projector_norm" in name \ + or "image_newline" in name or "view_seperator" in name \ + or "patch_embed" in name or "patch_embedding" in name \ + or "patch_merger." in name or "model.connector." in name: + return None + + return super().filter_tensors(item) + def set_vocab(self): self._set_vocab_gpt2() @@ -1331,6 +1360,9 @@ class TextModel(ModelBase): if chkhsh == "d4540891389ea895b53b399da6ac824becc30f2fba0e9ddbb98f92e55ca0e97c": # ref: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B res = "qwen2" + if chkhsh == "1444df51289cfa8063b96f0e62b1125440111bc79a52003ea14b6eac7016fd5f": + # ref: https://huggingface.co/openbmb/MiniCPM-V-4_6 + res = "qwen35" if chkhsh == "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273": # ref: https://huggingface.co/alvarobartt/grok-2-tokenizer res = "grok-2" @@ -1538,6 +1570,9 @@ class TextModel(ModelBase): if chkhsh == "862f827721df956049dff5ca81a57f29e575280bc622e290d3bf4e35eca29015": # ref: https://huggingface.co/codefuse-ai/F2LLM-v2-4B res = "f2llmv2" + if chkhsh == "62f6fb0a6fd5098caeabb19b07a5c1099cafc8b9c40eab6ea89ece4ec02fbc57": + # ref: https://huggingface.co/sarvamai/sarvam-30b + res = "sarvam-moe" if res is None: logger.warning("\n") @@ -2141,7 +2176,8 @@ class MmprojModel(ModelBase): text_config = { k: v for k, v in self.hparams.items() if k not in ["vision_encoder", "audio_encoder"] } - self.n_embd_text = text_config.get("hidden_dim", 0) + # mistral native params.json: "dim" is the text hidden size ("hidden_dim" is the FFN intermediate size) + self.n_embd_text = text_config.get("dim", 0) assert self.n_embd_text > 0, "n_embd not found in hparams" @@ -2193,9 +2229,15 @@ class MmprojModel(ModelBase): # merge configs self.preprocessor_config = {**self.preprocessor_config, **cfg} - def _needs_nvfp4_processing(self) -> bool: - # nvfp4 quantization applies to the text model only. - return False + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + # Skip non-multimodal tensors + if "language_model." in name: + return None + + return super().filter_tensors(item) def get_vision_config(self) -> dict[str, Any] | None: config_name = "vision_config" if not self.is_mistral_format else "vision_encoder" @@ -2823,8 +2865,12 @@ class LlamaModel(TextModel): # fix for SmolVLM2, missing `num_attention_heads` in config.json if self.hf_arch == "VLlama3ForCausalLM": self.hparams["num_attention_heads"] = self.hparams.get("num_attention_heads", 32) - hparams = ModelBase.load_hparams(self.dir_model, is_mistral_format=False) - self.origin_hf_arch = hparams.get('architectures', [None])[0] + # Mistral consolidated format has no config.json; origin_hf_arch is HF-only. + if self.is_mistral_format: + self.origin_hf_arch = None + else: + hparams = ModelBase.load_hparams(self.dir_model, is_mistral_format=False) + self.origin_hf_arch = hparams.get('architectures', [None])[0] def set_vocab(self): if self.origin_hf_arch == "GlmasrModel": @@ -2889,38 +2935,37 @@ class LlamaModel(TextModel): .swapaxes(1, 2) .reshape(weights.shape)) + def _repack_nvfp4(self, name: str, weight: Tensor, scale: Tensor, scale2: Tensor, input_scale: Tensor): + # Mirror the BF16 Q/K RoPE permutation site in modify_tensors; the NVFP4 path bypasses it. + if self.undo_permute: + n_head = self.find_hparam(["n_heads", "num_attention_heads"], optional=True) + n_kv_head = self.find_hparam(["n_kv_heads", "num_key_value_heads"], optional=True) + if n_head is not None: + if name.endswith("q_proj.weight"): + weight = LlamaModel.permute(weight, n_head, n_head) + scale = LlamaModel.permute(scale, n_head, n_head) + elif name.endswith("k_proj.weight"): + weight = LlamaModel.permute(weight, n_head, n_kv_head) + scale = LlamaModel.permute(scale, n_head, n_kv_head) + super()._repack_nvfp4(name, weight, scale, scale2, input_scale) + _experts: list[dict[str, Tensor]] | None = None + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if "text_model." in name: + name = name.replace("text_model.", "") # for SmolVLM + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: n_head = self.find_hparam(["n_heads", "num_attention_heads"]) n_kv_head = self.find_hparam(["n_kv_heads", "num_key_value_heads"]) - vision_prefixes = [ - "vision_encoder.", - "vision_language_adapter.", - "patch_merger.", - "pre_mm_projector_norm", - "audio_encoder.", - ] - - is_multimodal_tensor = "vision_tower" in name \ - or "vision_model" in name \ - or "audio_tower" in name \ - or "model.connector" in name \ - or "multi_modal_projector" in name \ - or any( - name.startswith(prefix) - for prefix in vision_prefixes - ) - - if is_multimodal_tensor: - return # skip vision tensors - elif self.hf_arch == "LlamaModel": + if self.hf_arch == "LlamaModel": name = "model." + name - elif name.startswith("model.text_model"): - name = name.replace("text_model.", "") # for SmolVLM - elif name.startswith("language_model."): - name = name.replace("language_model.", "") # for the rest if self.undo_permute: if name.endswith(("q_proj.weight", "q_proj.bias")): @@ -3034,6 +3079,15 @@ class AfmoeModel(LlamaModel): if (sliding_window := self.hparams.get("sliding_window")) is not None: self.gguf_writer.add_sliding_window(sliding_window) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.endswith(".expert_bias"): + name = name.replace(".expert_bias", ".expert_bias.bias") + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # Handle expert weights - they're already merged in the HF format # process the experts separately @@ -3064,9 +3118,6 @@ class AfmoeModel(LlamaModel): else: return - if name.endswith(".expert_bias"): - name = name.replace(".expert_bias", ".expert_bias.bias") - yield from ModelBase.modify_tensors(self, data_torch, name, bid) @@ -3091,6 +3142,11 @@ class LlavaVisionModel(MmprojModel): assert self.hparams["norm_eps"] is not None, "norm_eps not found in params.json" if self.use_break_tok: self.img_break_tok_id = self.find_vparam(["image_break_token_id"]) + + # params.json may ship -1 placeholders (Mistral Medium 3.5) + # resolve the real id from the bundled tokenizer in that case + if self.img_break_tok_id < 0: + self.img_break_tok_id = self.get_mistral_token_id("[IMG_BREAK]") else: raise ValueError(f"Unsupported model type: {self.hparams['model_type']}") logger.info(f"Image break token id: {self.img_break_tok_id}") @@ -3110,6 +3166,24 @@ class LlavaVisionModel(MmprojModel): return int(token_data["id"]) raise ValueError(f"Token '{token}' not found in tokenizer config.") + def get_mistral_token_id(self, token: str) -> int: + # mistral native format ships tekken.json or a versioned spm tokenizer + tekken_file = self.dir_model / "tekken.json" + if tekken_file.is_file(): + with open(tekken_file, "r", encoding="utf-8") as f: + data = json.load(f) + for entry in data.get("special_tokens", []): + if entry.get("token_str") == token: + return int(entry["rank"]) + tokenizer_json_file = self.dir_model / "tokenizer.json" + if tokenizer_json_file.is_file(): + with open(tokenizer_json_file, "r", encoding="utf-8") as f: + data = json.load(f) + for entry in data.get("added_tokens", []): + if entry.get("content") == token: + return int(entry["id"]) + raise ValueError(f"Token '{token}' not found in mistral tokenizer files.") + def set_gguf_parameters(self): super().set_gguf_parameters() hparams = self.hparams @@ -3191,13 +3265,16 @@ class SmolVLMModel(MmprojModel): return gguf.GGMLQuantizationType.F32 return super().tensor_force_quant(name, new_name, bid, n_dims) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + is_vision_tensor = "vision_tower" in name or "vision_model" in name or "model.connector" in name - if is_vision_tensor: - yield from super().modify_tensors(data_torch, name, bid) + if not is_vision_tensor: + return None - return # skip other tensors + return super().filter_tensors(item) @ModelBase.register( @@ -3227,9 +3304,6 @@ class Llama4Model(LlamaModel): self.gguf_writer.add_sliding_window(0) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): - if name.startswith("language_model."): - name = name.replace("language_model.", "") - # split the gate_up into gate and up if "gate_up_proj" in name: name_up = name.replace("gate_up_proj", "up_proj.weight") @@ -3244,8 +3318,6 @@ class Llama4Model(LlamaModel): name += ".weight" data_torch = data_torch.transpose(-1, -2) - if "multi_modal_projector" in name or "vision_model" in name: - return yield from super().modify_tensors(data_torch, name, bid) @@ -3259,16 +3331,24 @@ class Llama4VisionModel(MmprojModel): assert self.hparams["hidden_act"] == "gelu" self.gguf_writer.add_vision_use_gelu(True) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if "multi_modal_projector" not in name and "vision_model" not in name: + return None + + if "positional_embedding_vlm" in name and ".weight" not in name: + name += ".weight" + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if "multi_modal_projector" in name or "vision_model" in name: - # process vision tensors - if "positional_embedding_vlm" in name and ".weight" not in name: - name += ".weight" - if "multi_modal_projector.linear_1" in name: - # despite the name with number postfix, this is a single fully connected layer - yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_MMPROJ_FC] + '.weight', data_torch) - else: - yield from super().modify_tensors(data_torch, name, bid) + if "multi_modal_projector.linear_1" in name: + # despite the name with number postfix, this is a single fully connected layer + yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_MMPROJ_FC] + '.weight', data_torch) + else: + yield from super().modify_tensors(data_torch, name, bid) @ModelBase.register("DeciLMForCausalLM") @@ -3812,14 +3892,6 @@ class Qwen2Model(TextModel): def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if self.hf_arch == "Qwen2Model": name = f"model.{name}" # map to Qwen2ForCausalLM tensors - if "language_model." in name: - name = name.replace("language_model.", "") # for InternVL - if name.startswith("mlp") or name.startswith("multi_modal_projector") \ - or name.startswith("vision_model") or name.startswith("audio_tower") \ - or name.startswith("model.vision_tower") or name.startswith("model.multi_modal_projector") \ - or name.startswith("vision_tower."): - # skip vision and audio tensors - return yield from super().modify_tensors(data_torch, name, bid) @@ -4007,18 +4079,21 @@ class Ernie4_5Model(TextModel): def set_gguf_parameters(self): super().set_gguf_parameters() + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if "ernie." in name: + name = name.replace("ernie.", "model.") + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: num_heads = self.hparams["num_attention_heads"] num_kv_heads = self.hparams["num_key_value_heads"] if (head_dim := self.hparams.get("head_dim")) is None: head_dim = self.hparams["hidden_size"] // num_heads - if "mlp_AR" in name or "vision_model" in name: - # skip vision model and projector tensors - return - - if "ernie." in name: - name = name.replace("ernie.", "model.") # split the qkv weights # qkv_proj shape: [(num_heads + 2 * num_kv_heads) * head_dim, hidden_size] if "qkv_proj" in name: @@ -4067,29 +4142,31 @@ class Ernie4_5MoeModel(Ernie4_5Model): if shared_expert_count > 0 and (shared_expert_intermediate_size := self.hparams.get('intermediate_size')) is not None and (num_key_value_heads := self.hparams.get('num_key_value_heads')) is not None: self.gguf_writer.add_expert_shared_feed_forward_length(shared_expert_intermediate_size // num_key_value_heads) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Modify correction bias name as in DeepseekV2 - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item # skip Multi-Token Prediction (MTP) layers (again, same as DeepseekV2) match = re.match(r"model.mtp_block.(\d+)", name) if match: - return + return None # skip all other MTP tensors for now match = re.match(r"model.mtp_emb_norm.(\d+)", name) if match: - return + return None match = re.match(r"model.mtp_hidden_norm.(\d+)", name) if match: - return + return None match = re.match(r"model.mtp_linear_proj.(\d+)", name) if match: - return + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # process the experts separately if name.find("mlp.experts") != -1: n_experts = self.hparams["moe_num_experts"] @@ -4154,18 +4231,21 @@ class PaddleOCRVisionModel(MmprojModel): self.gguf_writer.add_vision_use_gelu(True) self.gguf_writer.add_vision_attention_layernorm_eps(hparams.get("rms_norm_eps", 1e-6)) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - name = name.replace("visual.", "model.") + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item - if "vision_model" in name or "mlp_AR" in name: - if "packing_position_embedding" in name: - return # unused - elif "vision_model.head" in name: - # we don't yet support image embeddings for this model - return - else: - yield from super().modify_tensors(data_torch, name, bid) - return # skip other tensors + if "vision_model" not in name and "mlp_AR" not in name: + return None + name = name.replace("visual.", "model.") + if "packing_position_embedding" in name: + # unused + return None + if "vision_model.head" in name: + # we don't yet support image embeddings for this model + return None + + return super().filter_tensors((name, gen)) @ModelBase.register( @@ -4186,14 +4266,14 @@ class Qwen2VLModel(TextModel): except FileNotFoundError: self._set_vocab_gpt2() - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("thinker."): name = name.replace("thinker.", "") - if name.startswith("visual") or name.startswith("audio") or \ - name.startswith("talker") or name.startswith("token2wav"): - # skip multimodal tensors - return - yield from super().modify_tensors(data_torch, name, bid) + + return super().filter_tensors((name, gen)) @ModelBase.register("Qwen2VLModel", "Qwen2VLForConditionalGeneration", "Qwen2_5_VLForConditionalGeneration") @@ -4241,32 +4321,39 @@ class Qwen2VLVisionModel(MmprojModel): return gguf.GGMLQuantizationType.F32 return super().tensor_force_quant(name, new_name, bid, n_dims) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if not name.startswith("visual."): + return None + + return super().filter_tensors(item) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("visual."): - # process visual tensors - # split QKV tensors if needed - if ".qkv." in name: - if data_torch.ndim == 2: # weight - c3, _ = data_torch.shape - else: # bias - c3 = data_torch.shape[0] - assert c3 % 3 == 0 - c = c3 // 3 - wq = data_torch[:c] - wk = data_torch[c: c * 2] - wv = data_torch[c * 2:] - yield from super().modify_tensors(wq, name.replace("qkv", "q"), bid) - yield from super().modify_tensors(wk, name.replace("qkv", "k"), bid) - yield from super().modify_tensors(wv, name.replace("qkv", "v"), bid) - elif 'patch_embed.proj.weight' in name: - # split Conv3D into Conv2Ds - c1, c2, kt, kh, kw = data_torch.shape - del c1, c2, kh, kw # unused - assert kt == 2, "Current implementation only support temporal_patch_size of 2" - yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight" , data_torch[:, :, 0, ...]) - yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight.1", data_torch[:, :, 1, ...]) - else: - yield from super().modify_tensors(data_torch, name, bid) + # split QKV tensors if needed + if ".qkv." in name: + if data_torch.ndim == 2: # weight + c3, _ = data_torch.shape + else: # bias + c3 = data_torch.shape[0] + assert c3 % 3 == 0 + c = c3 // 3 + wq = data_torch[:c] + wk = data_torch[c: c * 2] + wv = data_torch[c * 2:] + yield from super().modify_tensors(wq, name.replace("qkv", "q"), bid) + yield from super().modify_tensors(wk, name.replace("qkv", "k"), bid) + yield from super().modify_tensors(wv, name.replace("qkv", "v"), bid) + elif 'patch_embed.proj.weight' in name: + # split Conv3D into Conv2Ds + c1, c2, kt, kh, kw = data_torch.shape + del c1, c2, kh, kw # unused + assert kt == 2, "Current implementation only support temporal_patch_size of 2" + yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight" , data_torch[:, :, 0, ...]) + yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight.1", data_torch[:, :, 1, ...]) + else: + yield from super().modify_tensors(data_torch, name, bid) class Qwen25AudioModel(MmprojModel): @@ -4303,21 +4390,11 @@ class Qwen25AudioModel(MmprojModel): return super().tensor_force_quant(name, new_name, bid, n_dims) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("thinker."): - name = name.replace("thinker.", "") + if "conv1.bias" in name or "conv2.bias" in name: + # transpose conv1 and conv2 bias + data_torch = data_torch.unsqueeze(-1) - if name.startswith("audio_tower"): - # process audio tensors - if "conv1.bias" in name or "conv2.bias" in name: - # transpose conv1 and conv2 bias - data_torch = data_torch.unsqueeze(-1) - if "audio_bos_eos_token" in name: - # this tensor is left unused in transformers code - # https://github.com/huggingface/transformers/blob/6e3063422c4b1c014aa60c32b9254fd2902f0f28/src/transformers/models/qwen2_5_omni/modular_qwen2_5_omni.py#L1809 - return - yield from MmprojModel.modify_tensors(self, data_torch, name, bid) - - return # skip other tensors + yield from MmprojModel.modify_tensors(self, data_torch, name, bid) @ModelBase.register("Qwen2_5OmniModel") @@ -4335,6 +4412,23 @@ class Qwen25OmniModel(Qwen2VLVisionModel, Qwen25AudioModel): super().set_gguf_parameters() self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN25O) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if not name.startswith("visual.") and not name.startswith("audio_tower."): + return None + + if name.startswith("thinker."): + name = name.replace("thinker.", "") + + if "audio_bos_eos_token" in name: + # this tensor is left unused in transformers code + # https://github.com/huggingface/transformers/blob/6e3063422c4b1c014aa60c32b9254fd2902f0f28/src/transformers/models/qwen2_5_omni/modular_qwen2_5_omni.py#L1809 + return None + + return MmprojModel.filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if "visual." in name: yield from Qwen2VLVisionModel.modify_tensors(self, data_torch, name, bid) @@ -4388,7 +4482,14 @@ class InternVisionModel(MmprojModel): return gguf.GGMLQuantizationType.F32 return super().tensor_force_quant(name, new_name, bid, n_dims) - def _mapping_interns1_name(self, name): + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + vision_prefix = ['vision_model', 'mlp', 'model.vision_tower', 'model.multi_modal_projector'] + if not any([name.startswith(prefix) for prefix in vision_prefix]): + return None + # deal with intern-s1 special case names_map = { "model.multi_modal_projector.layer_norm.bias": "mlp1.0.bias", "model.multi_modal_projector.layer_norm.weight": "mlp1.0.weight", @@ -4399,35 +4500,31 @@ class InternVisionModel(MmprojModel): } if name in names_map: name = names_map[name] - return name + # correct name + if name.startswith("vision_model"): + name = "vision_tower." + name + if (".ls" in name or ".lambda_" in name or "position_embedding" in name) and not name.endswith(".weight"): + name += ".weight" + + return super().filter_tensors((name, gen)) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - vision_prefix = ['vision_model', 'mlp', 'model.vision_tower', 'model.multi_modal_projector'] - # deal with intern-s1 special case - name = self._mapping_interns1_name(name) - if any([name.startswith(prefix) for prefix in vision_prefix]): - # process visual tensors - # correct name - if name.startswith("vision_model"): - name = "vision_tower." + name - if (".ls" in name or ".lambda_" in name or "position_embedding" in name) and not name.endswith(".weight"): - name += ".weight" - # split QKV tensors if needed - if ".qkv." in name: - if data_torch.ndim == 2: # weight - c3, _ = data_torch.shape - else: # bias - c3 = data_torch.shape[0] - assert c3 % 3 == 0 - c = c3 // 3 - wq = data_torch[:c] - wk = data_torch[c: c * 2] - wv = data_torch[c * 2:] - yield from super().modify_tensors(wq, name.replace("attn.qkv", "self_attn.q_proj"), bid) - yield from super().modify_tensors(wk, name.replace("attn.qkv", "self_attn.k_proj"), bid) - yield from super().modify_tensors(wv, name.replace("attn.qkv", "self_attn.v_proj"), bid) - else: - yield from super().modify_tensors(data_torch, name, bid) + # split QKV tensors if needed + if ".qkv." in name: + if data_torch.ndim == 2: # weight + c3, _ = data_torch.shape + else: # bias + c3 = data_torch.shape[0] + assert c3 % 3 == 0 + c = c3 // 3 + wq = data_torch[:c] + wk = data_torch[c: c * 2] + wv = data_torch[c * 2:] + yield from super().modify_tensors(wq, name.replace("attn.qkv", "self_attn.q_proj"), bid) + yield from super().modify_tensors(wk, name.replace("attn.qkv", "self_attn.k_proj"), bid) + yield from super().modify_tensors(wv, name.replace("attn.qkv", "self_attn.v_proj"), bid) + else: + yield from super().modify_tensors(data_torch, name, bid) @ModelBase.register( @@ -4457,12 +4554,6 @@ class NemotronNanoV2VLModel(MmprojModel): } return vision_config - def dequant_model(self): - if self._is_nvfp4: - # Skip nvfp4 quantization for vision/audio model. - return - super().dequant_model() - def set_gguf_parameters(self): if "image_mean" not in self.preprocessor_config: self.preprocessor_config["image_mean"] = [0.485, 0.456, 0.406] @@ -4482,18 +4573,29 @@ class NemotronNanoV2VLModel(MmprojModel): return gguf.GGMLQuantizationType.F32 return super().tensor_force_quant(name, new_name, bid, n_dims) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if "input_conditioner" in name: - return + return None # mtmd does not support video yet so skip tensors related to video. if "radio_model.model.patch_generator.video_embedder" in name: - return + return None + + if not name.startswith("vision_model.radio_model.model.") and not name.startswith("mlp1."): + return None - # RADIO's pos_embed doesn't have .weight suffix, but clip.cpp expects it if "patch_generator.pos_embed" in name: if not name.endswith(".weight"): name += ".weight" + + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + # RADIO's pos_embed doesn't have .weight suffix, but clip.cpp expects it + if "patch_generator.pos_embed" in name: # Downsample position embeddings for fixed 512x512 image size import torch.nn.functional as F n_embd = self.hparams["hidden_size"] @@ -4517,25 +4619,25 @@ class NemotronNanoV2VLModel(MmprojModel): n_embd = self.hparams["hidden_size"] data_torch = data_torch.reshape(n_embd, 3, patch_size, patch_size) - if name.startswith("vision_model.radio_model.model.") or name.startswith("mlp1."): - yield from super().modify_tensors(data_torch, name, bid) + yield from super().modify_tensors(data_torch, name, bid) @ModelBase.register("WavTokenizerDec") class WavTokenizerDecModel(TextModel): model_arch = gguf.MODEL_ARCH.WAVTOKENIZER_DEC - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if \ name.endswith("codebook.cluster_size") or \ name.endswith("codebook.embed_avg") or \ name.endswith("codebook.inited"): logger.debug(f"Skipping {name!r}") - return + return None - logger.info(f"{self.map_tensor_name(name)} -> {data_torch.shape}") - - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors(item) def set_vocab(self): self._set_vocab_none() @@ -4573,17 +4675,6 @@ class Qwen2MoeModel(TextModel): _experts: list[dict[str, Tensor]] | None = None def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # process the experts separately - name = name.replace("language_model.", "") # InternVL - - # NVFP4 expert weights are handled in _generate_nvfp4_tensors - if self._is_nvfp4 and "experts" in name: - if name.endswith((".weight", ".weight_scale", ".weight_scale_2", ".input_scale")): - if name.endswith(".weight") and name.replace(".weight", ".weight_scale") in self.model_tensors: - return - if not name.endswith(".weight"): - return - # handle aggregated expert tensors # GGUF stores dimensions reversed from PyTorch, so: # PyTorch (A,B,C) -> GGUF writes [C,B,A] -> GGML reads ne={C,B,A} @@ -4610,10 +4701,6 @@ class Qwen2MoeModel(TextModel): yield from super().modify_tensors(up, mapped_up, bid) return - if name.startswith("mlp") or name.startswith("vision_model") or name.startswith("model.vision_tower") or name.startswith("model.multi_modal_projector") or name.startswith("model.visual"): - # skip visual tensors - return - if name.find("experts") != -1: n_experts = self.find_hparam(["num_local_experts", "num_experts"]) assert bid is not None @@ -4736,10 +4823,6 @@ class Qwen3Model(Qwen2Model): return torch.stack([true_row, false_row], dim=0) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if "model.vision_" in name: - # skip multimodal tensors - return - if self.is_rerank: is_tied_head = self.is_tied_embeddings and "embed_tokens" in name is_real_head = not self.is_tied_embeddings and "lm_head" in name @@ -4790,9 +4873,17 @@ class Qwen3NextModel(Qwen2MoeModel): rope_dim = self.hparams["hidden_size"] // self.hparams["num_attention_heads"] self.gguf_writer.add_rope_dimension_count(int(rope_dim * self.hparams.get("partial_rotary_factor", 0.25))) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("mtp"): - return # ignore MTP layers for now + # ignore MTP layers for now + return None + + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if name.endswith(".A_log"): data_torch = -torch.exp(data_torch) elif name.endswith(".dt_bias"): @@ -4895,19 +4986,29 @@ class Qwen3VLVisionModel(MmprojModel): if self.is_deepstack_layers: self.gguf_writer.add_vision_is_deepstack_layers(self.is_deepstack_layers) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - assert self.hparams_vision is not None - # Skip text model tensors - they go in the text model file - if name.startswith("model.language_model.") or name.startswith("lm_head."): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + # Skip text model tensors + if name.startswith("lm_head."): + return None # Skip MTP tensors if name.startswith("mtp."): - return + return None if name.startswith("model.visual."): name = name.replace("model.visual.", "visual.", 1) + if not name.startswith("visual."): + return None + + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + assert self.hparams_vision is not None + if name.startswith("visual.deepstack_merger_list."): prefix, rest = name.split(".", maxsplit=3)[2:] # prefix is the layer index, convert to absolute clip layer index! @@ -4967,9 +5068,7 @@ class Qwen3VLVisionModel(MmprojModel): yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".bias", data_torch) return - if name.startswith("visual."): - yield from MmprojModel.modify_tensors(self, data_torch, name, bid) - return # skip other tensors + yield from MmprojModel.modify_tensors(self, data_torch, name, bid) @ModelBase.register("Qwen3OmniMoeForConditionalGeneration") @@ -4997,6 +5096,26 @@ class Qwen3OmniMmprojModel(Qwen3VLVisionModel, Qwen25AudioModel): Qwen25AudioModel.set_gguf_parameters(self) self.gguf_writer.add_clip_audio_projector_type(gguf.VisionProjectorType.QWEN3A) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + # Skip text model tensors + if name.startswith("lm_head."): + return None + + # Skip MTP tensors + if name.startswith("mtp."): + return None + + if name.startswith("model.visual."): + name = name.replace("model.visual.", "visual.", 1) + + if "visual." not in name and "audio_tower." not in name: + return None + + return MmprojModel.filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if "visual." in name: if not self.has_vision_encoder: @@ -5045,8 +5164,6 @@ class Glm4VVisionModel(Qwen3VLVisionModel): self.gguf_writer.add_vision_attention_layernorm_eps(rms_norm_eps) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("model.visual."): - name = name.replace("model.visual.", "visual.") if name.startswith("visual.merger."): yield from ModelBase.modify_tensors(self, data_torch, name, bid) return @@ -5092,10 +5209,16 @@ class Step3VLVisionModel(MmprojModel): return gguf.GGMLQuantizationType.F16 if self.ftype == gguf.LlamaFileType.MOSTLY_F16 else gguf.GGMLQuantizationType.F32 return super().tensor_force_quant(name, new_name, bid, n_dims) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("model.") or name.startswith("lm_head."): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith(("model.", "lm_head.")): + return None + + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if name.startswith("vision_model.vit_downsampler"): match = re.match(r"vision_model\.vit_downsampler(\d+)\.(weight|bias)", name) if match is None: @@ -5135,23 +5258,19 @@ class Qwen3VLTextModel(Qwen3Model): deepstack_layer_num = len(vision_config.get("deepstack_visual_indexes", [])) self.gguf_writer.add_num_deepstack_layers(deepstack_layer_num) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Skip vision tensors - they go in the mmproj file - if name.startswith("model.visual."): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item - yield from super().modify_tensors(data_torch, name, bid) + name = name.replace("thinker.", "") + + return super().filter_tensors((name, gen)) @ModelBase.register("StepVLForConditionalGeneration") class Step3VLTextModel(Qwen3Model): model_arch = gguf.MODEL_ARCH.QWEN3 - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("vision_model.") or name.startswith("model.vision_model.") or name.startswith("vit_large_projector."): - return - yield from super().modify_tensors(data_torch, name, bid) - @ModelBase.register("Qwen3VLMoeForConditionalGeneration") class Qwen3VLMoeTextModel(Qwen3MoeModel): @@ -5163,21 +5282,23 @@ class Qwen3VLMoeTextModel(Qwen3MoeModel): deepstack_layer_num = len(vision_config.get("deepstack_visual_indexes", [])) self.gguf_writer.add_num_deepstack_layers(deepstack_layer_num) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Skip vision tensors - they go in the mmproj file - if name.startswith("model.visual."): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + name = name.replace("thinker.", "") + + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # Qwen3VL has transposed packed tensors, so we treat it differently from general Qwen2MoE packed tensors if name.endswith("mlp.experts.down_proj") or name.endswith("mlp.experts.down_proj.weight"): - name = name.replace("language_model.", "") mapped = f"{name}.weight" if not name.endswith(".weight") else name permuted = data_torch.permute(0, 2, 1).contiguous() yield from ModelBase.modify_tensors(self, permuted, mapped, bid) return if name.endswith("mlp.experts.gate_up_proj") or name.endswith("mlp.experts.gate_up_proj.weight"): - name = name.replace("language_model.", "") if data_torch.ndim < 3 or data_torch.shape[-1] % 2 != 0: raise ValueError(f"Unexpected gate_up_proj shape for {name}: {tuple(data_torch.shape)}") split_dim = data_torch.shape[-1] // 2 @@ -5220,15 +5341,6 @@ class Qwen3OmniMoeTextModel(Qwen3VLMoeTextModel): super().set_gguf_parameters() self.gguf_writer.add_num_deepstack_layers(0) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Skip vision and audio tensors - they go in the mmproj file - if "visual." in name or "audio_tower." in name \ - or "talker." in name or "code2wav." in name: - return - - name = name.replace("thinker.", "") - yield from super().modify_tensors(data_torch, name, bid) - @ModelBase.register("Qwen3ASRForConditionalGeneration") class Qwen3ASRTextModel(Qwen3VLTextModel): @@ -5252,17 +5364,6 @@ class Qwen3ASRTextModel(Qwen3VLTextModel): self.gguf_writer.add_eos_token_id(int(token_id)) break - def modify_tensors(self, data_torch, name, bid): - # qwen3-omni - name = name.replace("thinker.", "") - - # Skip vision and audio tensors - they go in the mmproj file - if "visual." in name or "audio_tower." in name \ - or "talker." in name or "code2wav." in name: - return - - yield from super().modify_tensors(data_torch, name, bid) - class _LinearAttentionVReorderBase(Qwen3NextModel): model_arch = gguf.MODEL_ARCH.QWEN3NEXT # overridden by subclasses @@ -5432,16 +5533,101 @@ class _LinearAttentionVReorderBase(Qwen3NextModel): yield from super().modify_tensors(data_torch, name, bid) +class _Qwen35MRopeMixin: + # Qwen3.5 always applies interleaved MRoPE (see Qwen3_5RotaryEmbedding in transformers); + # the upstream default mrope_section is [11, 11, 10] and llama.cpp's QWEN35 / QWEN35MOE + # loaders treat qwen35.rope.dimension_sections as required, so make sure it is always + # written even when a particular checkpoint omits the field in `rope_parameters`. + _QWEN35_DEFAULT_MROPE_SECTION = [11, 11, 10, 0] + + gguf_writer: gguf.GGUFWriter + rope_parameters: dict + + def set_gguf_parameters(self): + super().set_gguf_parameters() # ty: ignore[unresolved-attribute] + if "mrope_section" not in self.rope_parameters: + self.gguf_writer.add_rope_dimension_sections(self._QWEN35_DEFAULT_MROPE_SECTION) + + @ModelBase.register("Qwen3_5ForConditionalGeneration", "Qwen3_5ForCausalLM") -class Qwen3_5TextModel(_LinearAttentionVReorderBase): +class Qwen3_5TextModel(_Qwen35MRopeMixin, _LinearAttentionVReorderBase): model_arch = gguf.MODEL_ARCH.QWEN35 @ModelBase.register("Qwen3_5MoeForConditionalGeneration", "Qwen3_5MoeForCausalLM") -class Qwen3_5MoeTextModel(_LinearAttentionVReorderBase): +class Qwen3_5MoeTextModel(_Qwen35MRopeMixin, _LinearAttentionVReorderBase): model_arch = gguf.MODEL_ARCH.QWEN35MOE +# MiniCPM-V 4.6: text tower is Qwen3.5 (linear+full hybrid attention) wrapped under +# `model.language_model.*`; vision tower is SigLIP + a window-attention ViT merger +# + a final DownsampleMLP merger. The same HF arch is registered twice below: once as +# the LM (text mode) and once as the mmproj (vision mode), mirroring the Qwen3-VL setup. + +@ModelBase.register("MiniCPMV4_6ForConditionalGeneration") +class MiniCPMV4_6TextModel(Qwen3_5TextModel): + model_arch = gguf.MODEL_ARCH.QWEN35 + + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.startswith("model.merger."): + return None + # MTP tensors are not used at inference yet; align with Qwen3Next behaviour + if name.startswith("mtp"): + return None + + return super().filter_tensors(item) + + +@ModelBase.register("MiniCPMV4_6ForConditionalGeneration") +class MiniCPMV4_6VisionModel(MmprojModel): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + if self.hparams_vision is not None: + # In MiniCPM-V 4.6 `vision_config.image_size` (980) describes the SigLIP + # positional embedding bucket grid (70 x 70), while the per-slice processing + # resolution is the preprocessor's `scale_resolution` (typically 448). + # The CLIP loader in tools/mtmd/clip.cpp consumes `clip.vision.image_size` + # as the slice size and warmup resolution, so report `scale_resolution` there + # to match the upstream MiniCPMV4_6ImageProcessorPil slicing rules. + scale_resolution = self.preprocessor_config.get("scale_resolution") + if scale_resolution is not None: + self.hparams_vision["image_size"] = int(scale_resolution) + + def set_gguf_parameters(self): + super().set_gguf_parameters() + assert self.hparams_vision is not None + + # projector type string is consumed by clip_projector_type_from_string() in clip.cpp + # (mapped to PROJECTOR_TYPE_MINICPMV4_6). + self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.MINICPMV4_6) + + # ViT merger 2x2 + final merger 2x2 = 4x spatial merge per dimension; used for slice alignment + self.gguf_writer.add_vision_projector_scale_factor(4) + + # borrow wa_layer_indexes for vit_merger insertion point + insert_layer_id = int(self.global_config.get( + "insert_layer_id", self.hparams_vision.get("insert_layer_id", 6))) + self.gguf_writer.add_vision_wa_layer_indexes([insert_layer_id]) + + # SigLIP vision body uses gelu_pytorch_tanh, which matches ggml_gelu (tanh approx). + self.gguf_writer.add_vision_use_gelu(True) + self.gguf_writer.add_vision_attention_layernorm_eps( + self.hparams_vision.get("layer_norm_eps", 1e-6)) + + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + # lm_head / MTP -> belong to the LM file + if name.startswith(("lm_head.", "mtp")): + return None + + return super().filter_tensors(item) + + @ModelBase.register("GPT2LMHeadModel") class GPT2Model(TextModel): model_arch = gguf.MODEL_ARCH.GPT2 @@ -5707,12 +5893,6 @@ class Phi3MiniModel(TextModel): yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_LONG), torch.tensor(long_factors, dtype=torch.float32)) yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_SHORT), torch.tensor(short_factors, dtype=torch.float32)) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith(("model.vision_tower.", "vision_tower.", "model.mm_projector.", "mm_projector.")): - return - - yield from super().modify_tensors(data_torch, name, bid) - @ModelBase.register("Phi4ForCausalLMV") class Phi4VisionMmprojModel(MmprojModel): @@ -5782,20 +5962,29 @@ class Phi4VisionMmprojModel(MmprojModel): self.gguf_writer.add_vision_use_gelu(True) self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams_vision.get("layer_norm_eps", 1e-6)) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + name = name.replace("model.vision_tower.vision_tower.", "vision_tower.") + + if not name.startswith(("vision_tower.", "model.mm_projector.", "mm_projector.")): + return None + + if ".vision_model.head." in name: + return None + + if ".vision_model.post_layernorm." in name: + return None + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith(("model.vision_tower.vision_tower.", "vision_tower.")): - if ".vision_model.head." in name: - return - - new_name = name.replace("model.vision_tower.vision_tower.", "vision_tower.") - - if ".vision_model.post_layernorm." in new_name: - return - + if name.startswith("vision_tower."): if bid is not None and bid == self.vision_last_layer_idx: return - if new_name.endswith("vision_model.embeddings.patch_embedding.weight"): + if name.endswith("vision_model.embeddings.patch_embedding.weight"): assert self.hparams_vision is not None if data_torch.ndim != 2: raise ValueError(f"Unexpected Phi-4 patch embedding shape: {tuple(data_torch.shape)}") @@ -5812,7 +6001,7 @@ class Phi4VisionMmprojModel(MmprojModel): data_torch = data_torch.view(data_torch.shape[0], patch_size, patch_size, num_channels) data_torch = data_torch.permute(0, 3, 1, 2) - yield from super().modify_tensors(data_torch, new_name, bid) + yield from super().modify_tensors(data_torch, name, bid) return if name.startswith(("model.mm_projector.", "mm_projector.")): @@ -6242,10 +6431,6 @@ class KimiLinearModel(TextModel): data_torch = data_torch.reshape(1, d_inner, 1, d_conv) logger.info(f"Reshaped conv1d weight {name}: [d_inner={d_inner}, 1, d_conv={d_conv}] -> numpy {tuple(data_torch.shape)} -> ggml ne=[{d_conv}, 1, {d_inner}, 1]") - # Kimi specific bias - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") - # Handle A_log: iHF stores as [1, 1, num_heads, 1] # llama.cpp expects ggml ne = [1, num_heads, 1, 1] # GGUF reverses numpy shape: numpy (1, 1, num_heads, 1) -> ggml ne = [1, num_heads, 1, 1] @@ -6438,11 +6623,6 @@ class InternLM2Model(TextModel): head_dim = n_embd // num_heads num_groups = num_heads // q_per_kv - name = name.replace("language_model.", "") # InternVL - if name.startswith("mlp") or name.startswith("vision_model"): - # skip visual tensors - return - if bid is not None and f"model.layers.{bid}.attention.wqkv" in name: qkv = data_torch @@ -6504,13 +6684,19 @@ class InternLM3Model(TextModel): rope_dim = hparams["hidden_size"] // hparams["num_attention_heads"] self.gguf_writer.add_rope_dimension_count(rope_dim) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.startswith(("mlp", "vision_model")): + # skip visual tensors + return None + + return super().filter_tensors(item) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: n_head = self.hparams["num_attention_heads"] n_kv_head = self.hparams.get("num_key_value_heads") - name = name.replace("language_model.", "") # InternVL - if name.startswith("mlp") or name.startswith("vision_model"): - # skip visual tensors - return if name.endswith(("q_proj.weight", "q_proj.bias")): data_torch = LlamaModel.permute(data_torch, n_head, n_head) if name.endswith(("k_proj.weight", "k_proj.bias")): @@ -6569,7 +6755,10 @@ class BertModel(TextModel): special_vocab = gguf.SpecialVocab(self.dir_model, n_vocab=len(tokens)) special_vocab.add_to_gguf(self.gguf_writer) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("bert."): name = name[5:] @@ -6581,14 +6770,17 @@ class BertModel(TextModel): # we are only using BERT for embeddings so we don't need the pooling layer if name in ("embeddings.position_ids", "pooler.dense.weight", "pooler.dense.bias"): - return # we don't need these + return None if name.startswith("cls.predictions"): - return + return None if name.startswith("cls.seq_relationship"): - return + return None + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if self.cls_out_labels: # For BertForSequenceClassification (direct projection layer) if name == "classifier.weight": @@ -6658,7 +6850,7 @@ class BertModel(TextModel): tokens: list[bytes] = [f"[PAD{i}]".encode("utf-8") for i in range(vocab_size)] scores: list[float] = [-10000.0] * vocab_size - toktypes: list[int] = [SentencePieceTokenTypes.UNUSED] * vocab_size # ty: ignore[invalid-assignment] + toktypes: list[int] = [SentencePieceTokenTypes.UNUSED] * vocab_size if isinstance(tokenizer, SentencePieceProcessor): for token_id in range(tokenizer.vocab_size()): @@ -6746,15 +6938,18 @@ class DistilBertModel(BertModel): logger.info("gguf: layer norm epsilon = 1e-12") super().set_gguf_parameters() - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("distilbert."): name = name[11:] # These layers act as MLM head, so we don't need them if name.startswith("vocab_"): - return + return None - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors((name, gen)) @ModelBase.register("RobertaModel", "RobertaForSequenceClassification") @@ -6786,12 +6981,18 @@ class RobertaModel(BertModel): else: return super().set_vocab() - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # if name starts with "roberta.", remove the prefix # e.g. https://huggingface.co/BAAI/bge-reranker-v2-m3/tree/main if name.startswith("roberta."): name = name[8:] + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # position embeddings start at pad_token_id + 1, so just chop down the weight tensor if name == "embeddings.position_embeddings.weight": if self._position_offset is not None: @@ -6847,11 +7048,17 @@ class NomicBertModel(BertModel): return self._xlmroberta_set_vocab() return super().set_vocab() - def modify_tensors(self, data_torch: torch.Tensor, name: str, bid: int | None) -> Iterable[tuple[str, torch.Tensor]]: - # If the tensor is an experts bias tensor, skip it by returning an empty list. - if "mlp.experts.bias" in name: - return # Explicitly return. + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # If the tensor is an experts bias tensor, skip it. + if "mlp.experts.bias" in name: + return None + + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: torch.Tensor, name: str, bid: int | None) -> Iterable[tuple[str, torch.Tensor]]: n_experts = self.find_hparam(["num_local_experts", "num_experts"]) if "mlp.experts.mlp.w1" in name: data_torch = data_torch.view(n_experts, self.hparams["n_inner"], self.hparams["n_embd"]) @@ -6899,14 +7106,17 @@ class NeoBert(BertModel): self.gguf_writer.add_pooling_type(gguf.PoolingType.CLS) # https://huggingface.co/chandar-lab/NeoBERT#how-to-use - def modify_tensors(self, data_torch, name, bid): + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("decoder."): - return + return None if name.startswith("model."): name = name[6:] - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors((name, gen)) @ModelBase.register("EuroBertModel", "JinaEmbeddingsV5Model") @@ -6927,12 +7137,14 @@ class EuroBertModel(TextModel): self._try_set_pooling_type() - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Strip "model." prefix from tensor names + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("model."): name = name[6:] - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors((name, gen)) @ModelBase.register("XLMRobertaModel", "XLMRobertaForSequenceClassification") @@ -6970,7 +7182,10 @@ class XLMRobertaModel(BertModel): def set_vocab(self): self._xlmroberta_set_vocab() - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # if name starts with "roberta.", remove the prefix # e.g. https://huggingface.co/BAAI/bge-reranker-v2-m3/tree/main if name.startswith("roberta."): @@ -6982,6 +7197,9 @@ class XLMRobertaModel(BertModel): if name.endswith(".original"): name = name[:-9] + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # position embeddings start at pad_token_id + 1, so just chop down the weight tensor if name == "embeddings.position_embeddings.weight": if self._position_offset is not None: @@ -7065,13 +7283,19 @@ class GemmaModel(TextModel): self.gguf_writer.add_value_length(hparams["head_dim"]) self.gguf_writer.add_file_type(self.ftype) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # lm_head is not used in llama.cpp, while autoawq will include this tensor in model # To prevent errors, skip loading lm_head.weight. if name == "lm_head.weight": logger.debug(f"Skipping get tensor {name!r} in safetensors so that convert can end normally.") - return + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # ref: https://github.com/huggingface/transformers/blob/fc37f38915372c15992b540dfcbbe00a916d4fc6/src/transformers/models/gemma/modeling_gemma.py#L89 if name.endswith("norm.weight"): data_torch = data_torch + 1 @@ -7109,13 +7333,19 @@ class Gemma2Model(TextModel): ) self.gguf_writer.add_sliding_window(self.hparams["sliding_window"]) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # lm_head is not used in llama.cpp, while autoawq will include this tensor in model # To prevent errors, skip loading lm_head.weight. if name == "lm_head.weight": logger.debug(f"Skipping get tensor {name!r} in safetensors so that convert can end normally.") - return + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # ref: https://github.com/huggingface/transformers/blob/fc37f38915372c15992b540dfcbbe00a916d4fc6/src/transformers/models/gemma/modeling_gemma.py#L89 if name.endswith("norm.weight"): data_torch = data_torch + 1 @@ -7157,13 +7387,6 @@ class Gemma3Model(TextModel): self.gguf_writer.add_head_count_kv(hparams.get("num_key_value_heads", 4)) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if "language_model." in name: - name = name.replace("language_model.", "") - - elif name.startswith("multi_modal_projector.") or name.startswith("vision_tower.") \ - or name.startswith("multimodal_projector.") or name.startswith("vision_model."): - return # skip vision tensors - # remove OOV (out-of-vocabulary) rows in token_embd if "embed_tokens.weight" in name: n_vocab_real = -1 @@ -7288,25 +7511,30 @@ class Gemma3VisionModel(MmprojModel): return gguf.GGMLQuantizationType.F32 return super().tensor_force_quant(name, new_name, bid, n_dims) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if "vision_model.head." in name: - return # skip redundant tensors for tinygemma3 + # skip redundant tensors for tinygemma3 + return None - if name.startswith("multi_modal_projector.") or name.startswith("vision_tower.") \ - or name.startswith("multimodal_projector.") or name.startswith("vision_model."): - # process vision tensors - name = name.replace("_weight", ".weight") + if not name.startswith(("multi_modal_projector.", "vision_tower.", "multimodal_projector.", "vision_model.")): + return None - # correct norm value ; only this "soft_emb_norm" need to be corrected as it's part of Gemma projector - # the other norm values are part of SigLIP model, and they are already correct - # ref code: Gemma3RMSNorm - if "soft_emb_norm.weight" in name: - logger.info(f"Correcting norm value for '{name}'") - data_torch = data_torch + 1 + name = name.replace("_weight", ".weight") - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors((name, gen)) - return # skip other tensors + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + # correct norm value ; only this "soft_emb_norm" need to be corrected as it's part of Gemma projector + # the other norm values are part of SigLIP model, and they are already correct + # ref code: Gemma3RMSNorm + if "soft_emb_norm.weight" in name: + logger.info(f"Correcting norm value for '{name}'") + data_torch = data_torch + 1 + + yield from super().modify_tensors(data_torch, name, bid) class ConformerAudioModel(MmprojModel): @@ -7410,17 +7638,20 @@ class DeepseekOCRVisionModel(MmprojModel): return gguf.GGMLQuantizationType.F32 return super().tensor_force_quant(name, new_name, bid, n_dims) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # Only process vision-related tensors, skip language model tensors # Vision components: sam_model, vision_model, projector, image_newline, view_seperator # Language model components to skip: lm_head, embed_tokens, layers, norm if name.startswith(("lm_head.", "model.embed_tokens.", "model.layers.", "model.norm.")): - return + return None if name.endswith("pos_embed") or name.endswith("rel_pos_h") or name.endswith("rel_pos_w"): name += ".weight" - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors((name, gen)) @ModelBase.register("Gemma3nForConditionalGeneration") @@ -7613,14 +7844,17 @@ class Gemma3NModel(Gemma3Model): else: return torch.stack(matrices, dim=0) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.endswith("_scale"): name = name + ".weight" - # TODO: implement self.prediction_coefs.weight.clamp_(...) + return super().filter_tensors((name, gen)) - if "language_model." not in name: - return # skip non-language model tensors + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + # TODO: implement self.prediction_coefs.weight.clamp_(...) # Pad token embeddings for vision/audio special tokens (262144-262399) if "embed_tokens.weight" in name or "embed_tokens_per_layer" in name: @@ -7641,7 +7875,6 @@ class Gemma3NModel(Gemma3Model): data_torch = torch.cat([data_torch, padding], dim=0) # Continue with normal processing - name = name.replace("language_model.", "") yield from ModelBase.modify_tensors(self, data_torch, name, bid) return @@ -7786,14 +8019,42 @@ class Gemma4Model(Gemma3Model): rope_freqs_full = torch.tensor(values, dtype=torch.float32) yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FREQS), rope_freqs_full) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + def _generate_nvfp4_tensors(self): + # Gemma-4 stores a per-layer router.per_expert_scale ([n_expert]) that scales + # each expert's contribution. It's mathematically equivalent to a per-expert + # scalar on the down_proj output, which is exactly where ffn_down_exps_s is + # applied at inference. Fold it into each expert's NVFP4 weight_scale_2 so the + # existing NVFP4 path produces the right scales. + n_experts = self.find_hparam(["num_local_experts", "num_experts"], optional=True) or 0 + for name in [n for n in self.model_tensors if n.endswith(".router.per_expert_scale")]: + bid_match = re.search(r"\.layers\.(\d+)\.", name) + if bid_match is None: + continue + bid = bid_match.group(1) + prefix = name[: name.index(f".layers.{bid}.") + len(f".layers.{bid}.")] + w2_targets = [f"{prefix}experts.{e}.down_proj.weight_scale_2" for e in range(n_experts)] + present = [w2 in self.model_tensors for w2 in w2_targets] + if not any(present): + continue + assert all(present), f"layer {bid}: partial NVFP4 quantization across experts" + r = self.model_tensors.pop(name) + for e, w2 in enumerate(w2_targets): + s = self.model_tensors[w2] + self.model_tensors[w2] = lambda s=s, r=r, i=e: s() * r()[i] + super()._generate_nvfp4_tensors() + + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.endswith("per_dim_scale") or name.endswith("layer_scalar"): name = name + ".weight" + if ".experts." in name and not name.endswith((".weight", ".weight_scale", ".weight_scale_2", ".input_scale")): + name += ".weight" - if "language_model." not in name and "rope_freqs" not in name: - return # skip non-language model tensors + return super().filter_tensors((name, gen)) - name = name.replace("language_model.", "") + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if name.endswith("router.scale"): name = self.format_tensor_name(gguf.MODEL_TENSOR.FFN_GATE_INP, bid, ".scale") yield (name, data_torch) @@ -7803,8 +8064,6 @@ class Gemma4Model(Gemma3Model): name = self.format_tensor_name(gguf.MODEL_TENSOR.FFN_DOWN_EXP, bid, ".scale") yield (name, data_torch) return - if ".experts." in name and not name.endswith(".weight"): - name += ".weight" yield from super().modify_tensors(data_torch, name, bid) @@ -7853,9 +8112,6 @@ class Gemma4VisionAudioModel(MmprojModel): def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: del bid # unused - if name.startswith("model.language_model."): - return # skip - if len(data_torch.shape) == 0: # convert scalar tensors (input/output_mix/max) to 1D tensors data_torch = data_torch.unsqueeze(0) @@ -8068,11 +8324,21 @@ class Rwkv7Model(TextModel): lerp_weights: dict[int, dict[str, Tensor]] = {} lora_needs_transpose: bool = True - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # unify tensor names here to make life easier name = name.replace("blocks", "layers").replace("ffn", "feed_forward") name = name.replace("self_attn", "attention").replace("attn", "attention") name = name.replace("time_mixer.", "") + + name = name.replace("feed_forward_norm", "ln2") + name = name.replace("g_norm", "ln_x") + + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # lora layer names in fla-hub's impl if "_lora.lora" in name: self.lora_needs_transpose = False @@ -8080,9 +8346,6 @@ class Rwkv7Model(TextModel): name = name.replace("_lora.lora.2.weight", "2.weight") name = name.replace("_lora.lora.2.bias", "0.weight") - name = name.replace("feed_forward_norm", "ln2") - name = name.replace("g_norm", "ln_x") - if "attention.v" in name and "value" not in self.map_tensor_name(name) and bid == 0: # some models have dummy v0/v1/v2 on first layer while others don't # ignore them all since they are not used @@ -8339,15 +8602,20 @@ class Mamba2Model(TextModel): self.gguf_writer.add_layer_norm_rms_eps(rms_norm_eps) self.gguf_writer.add_file_type(self.ftype) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item - if name.startswith("model.backbone") or name.startswith("model.lm_head"): + if name.startswith(("model.backbone", "model.lm_head")): # map Mamba-Codestral-7B-v0.1 tensor names to the names used by Mamba-2 name = name.removeprefix("model.") if name.endswith(".dt_bias"): name = name.rpartition(".dt_bias")[0] + ".dt_proj.bias" + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: new_name = self.map_tensor_name(name) if self.match_model_tensor_name(new_name, gguf.MODEL_TENSOR.SSM_CONV1D, bid): @@ -9107,31 +9375,12 @@ class DeepseekV2Model(TextModel): _experts: list[dict[str, Tensor]] | None = None def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # skip vision tensors and remove "language_model." for Kimi-VL and Kimi-K2.5, and DeepSeek-OCR - if ("vision_tower" in name - or "multi_modal_projector" in name - or "mm_projector" in name - or "vision_model" in name - or "image_newline" in name - or "model.projector" in name - or "sam_model" in name - or "view_seperator" in name): - return - if name.startswith("siglip2.") or name.startswith("merger."): - return - if name.startswith("language_model."): - name = name.replace("language_model.", "") - # skip lm_head.weight if tie_word_embeddings is True if self.hparams.get("tie_word_embeddings", False): if name == "lm_head.weight" or name == "model.lm_head.weight": logger.info("Skipping tied output layer 'lm_head.weight' (will use token_embd.weight)") return - # rename e_score_correction_bias tensors - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") - # skip Multi-Token Prediction (MTP) layers if self.skip_mtp: block_count = self.hparams["num_hidden_layers"] @@ -9216,13 +9465,6 @@ class Mistral3Model(TextModel): self.gguf_writer.add_rope_scaling_yarn_log_mul(rope_params["mscale_all_dim"]) self.gguf_writer.add_attn_temperature_scale(rope_params["llama_4_scaling_beta"]) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): - name = name.replace("language_model.", "") - if "multi_modal_projector" in name or "vision_tower" in name: - return - - yield from super().modify_tensors(data_torch, name, bid) - class Mistral4Model(DeepseekV2Model): model_arch = gguf.MODEL_ARCH.MISTRAL4 skip_mtp = False # model contains no MTP layers, so no need to skip @@ -9274,9 +9516,6 @@ class MiniMaxM2Model(TextModel): self.gguf_writer.add_rope_dimension_count(self.find_hparam(["rotary_dim"])) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") - # merge expert weights if 'experts' in name: n_experts = self.find_hparam(["num_local_experts", "num_experts"]) @@ -9309,10 +9548,126 @@ class MiniMaxM2Model(TextModel): yield from super().modify_tensors(data_torch, name, bid) -@ModelBase.register("MiMoV2FlashForCausalLM") +@ModelBase.register("MiMoV2FlashForCausalLM", "MiMoV2ForCausalLM") class MimoV2Model(TextModel): model_arch = gguf.MODEL_ARCH.MIMO2 + # MiMo V2-Flash, V2.5 and V2.5-Pro all ship 3 trained MTP layers under model.mtp.layers.{0,1,2}. + # The HF config does not expose the count, so it's hardcoded to match the count found in the safetensors. + _n_nextn = 3 + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + self.block_count = self.hparams["num_hidden_layers"] + self._n_nextn + self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count) + + @staticmethod + def _tp_aware_qkv_dequant(weight: Tensor, scale_inv: Tensor, + n_q: int, n_kv: int, hd: int, vhd: int, + bs: int = 128) -> Tensor: + # MiMo-V2.5 (TP=4) and V2.5-Pro (TP=8) ship qkv_proj sharded across TP + # ranks; per rank, rows are stacked as [Q_per | K_per | V_per]. + # weight_scale_inv has ceil(rows_per_rank/bs) block-rows per rank (last + # may extend past rows_per_rank with phantom rows not in the weight). + # Naive repeat_interleave aligns rank 0 only and mis-applies scales to + # later ranks once rows_per_rank isn't a multiple of bs. + # Re-group the per-rank [Q_per|K_per|V_per] rows into a single fused + # [Q | K | V] tensor matching the un-sharded original layout. + q_size = n_q * hd + k_size = n_kv * hd + v_size = n_kv * vhd + total_rows = q_size + k_size + v_size + if weight.shape[0] != total_rows: + raise ValueError(f"qkv_proj weight rows {weight.shape[0]} != q+k+v {total_rows}") + + # detect TP from scale_inv block count, descending order so larger matches first + tp = None + for cand in (8, 4): + if total_rows % cand != 0: + continue + rpr = total_rows // cand + bpr = (rpr + bs - 1) // bs + if scale_inv.shape[0] == cand * bpr: + tp = cand + break + if tp is None: + raise ValueError( + f"qkv_proj: cannot detect TP - scale_inv rows {scale_inv.shape[0]}, " + f"q+k+v {total_rows}") + + q_per = q_size // tp + k_per = k_size // tp + v_per = v_size // tp + rows_per_rank = q_per + k_per + v_per + blocks_per_rank = (rows_per_rank + bs - 1) // bs + + scale_inv = scale_inv.float() + # per-row scale-row index: rank * blocks_per_rank + (rr_in_rank // bs) + row_idx = torch.arange(total_rows) + rr = row_idx % rows_per_rank + rank = row_idx // rows_per_rank + scale_row_idx = rank * blocks_per_rank + (rr // bs) + # gather: (total_rows, n_col_blocks) + scale_per_row_block = scale_inv[scale_row_idx] + # expand col-blocks -> cols: each block-col covers `bs` weight cols + scale_full = scale_per_row_block.repeat_interleave(bs, dim=1) + # crop to weight col count (in case last col-block isn't full) + scale_full = scale_full[:, : weight.shape[1]] + dequant = weight.float() * scale_full + + if tp == 1: + return dequant + + # Re-group per-rank [Q_per|K_per|V_per] rows into unified [Q | K | V] + qs, ks, vs = [], [], [] + for r in range(tp): + base = r * rows_per_rank + qs.append(dequant[base : base + q_per]) + ks.append(dequant[base + q_per : base + q_per + k_per]) + vs.append(dequant[base + q_per + k_per : base + rows_per_rank]) + return torch.cat(qs + ks + vs, dim=0) + + def dequant_model(self): + # Capture raw FP8 (weight, scale_inv) lambdas for qkv_proj BEFORE super + # rewrites them with the existing dequant. Replace super's lambda after + # it runs so scale_inv removal still happens via the standard path. + qkv_overrides: dict[str, tuple[Callable, Callable, int]] = {} + qc = self.hparams.get("quantization_config") + if isinstance(qc, dict) and qc.get("quant_method") == "fp8": + pat = re.compile(r"^model\.layers\.(\d+)\.self_attn\.qkv_proj\.weight_scale_inv$") + for name in list(self.model_tensors.keys()): + m = pat.match(name) + if not m: + continue + weight_name = name.removesuffix("_scale_inv") + if weight_name not in self.model_tensors: + continue + qkv_overrides[weight_name] = ( + self.model_tensors[weight_name], + self.model_tensors[name], + int(m.group(1)), + ) + + super().dequant_model() + + if not qkv_overrides: + return + + n_q = self.hparams["num_attention_heads"] + hd = self.hparams["head_dim"] + vhd = self.hparams["v_head_dim"] + hybrid = self.hparams["hybrid_layer_pattern"] + n_layer_text = self.hparams["num_hidden_layers"] + for weight_name, (w_fn, s_fn, bid) in qkv_overrides.items(): + # MTP layers (bid >= n_layer_text) use SWA-style attention dims + is_swa = True if bid >= n_layer_text else hybrid[bid] == 1 + n_kv = self.hparams["swa_num_key_value_heads" if is_swa else "num_key_value_heads"] + self.model_tensors[weight_name] = ( + lambda w_fn=w_fn, s_fn=s_fn, n_q=n_q, n_kv=n_kv, hd=hd, vhd=vhd: + MimoV2Model._tp_aware_qkv_dequant(w_fn(), s_fn(), n_q, n_kv, hd, vhd) + ) + def set_gguf_parameters(self): super().set_gguf_parameters() @@ -9323,11 +9678,14 @@ class MimoV2Model(TextModel): n_head_kv = self.hparams["num_key_value_heads"] n_head_kv_swa = self.hparams["swa_num_key_value_heads"] - n_head_kv_arr = [n_head_kv_swa if use_swa == 1 else n_head_kv for use_swa in self.hparams["hybrid_layer_pattern"]] + # Extend the per-layer pattern with SWA entries for the MTP blocks so the + # runtime arrays (sized to extended block_count) are fully populated. + hybrid = list(self.hparams["hybrid_layer_pattern"]) + [1] * self._n_nextn + n_head_kv_arr = [n_head_kv_swa if use_swa == 1 else n_head_kv for use_swa in hybrid] self.gguf_writer.add_head_count_kv(n_head_kv_arr) self.gguf_writer.add_sliding_window(self.hparams["sliding_window"]) - self.gguf_writer.add_sliding_window_pattern(self.hparams["hybrid_layer_pattern"]) + self.gguf_writer.add_sliding_window_pattern(hybrid) self.gguf_writer.add_value_length(self.hparams["v_head_dim"]) self.gguf_writer.add_expert_count(self.hparams["n_routed_experts"]) self.gguf_writer.add_expert_feed_forward_length(self.hparams["moe_intermediate_size"]) @@ -9337,18 +9695,35 @@ class MimoV2Model(TextModel): self.gguf_writer.add_layer_norm_rms_eps(self.hparams.get("layernorm_epsilon", 1e-5)) + v_scale = self.hparams.get("attention_value_scale") + if v_scale is not None: + self.gguf_writer.add_attn_value_scale(float(v_scale)) + + self.gguf_writer.add_nextn_predict_layers(self._n_nextn) + _experts: list[dict[str, Tensor]] | None = None - def modify_tensors(self, data_torch, name, bid): - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item if "attention_sink" in name and not name.endswith(".weight"): name += ".weight" - # TODO: mimo v2 does not indicate the number of next-token-prediction layers, therefore we cannot do the same way as GLM4_MOE - if "model.mtp." in name: - return + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch, name, bid): + # Remap MTP/NextN tensors to additional layer slots so the standard tensor map handles them. + # HF: model.mtp.layers.{i}.foo -> model.layers.{n_layer_text + i}.foo + m = re.match(r"^model\.mtp\.layers\.(\d+)\.(.*)$", name) + if m is not None: + mtp_idx = int(m.group(1)) + assert mtp_idx < self._n_nextn, f"MTP layer index {mtp_idx} >= _n_nextn ({self._n_nextn})" + rest = m.group(2) + n_layer_text = self.hparams["num_hidden_layers"] + new_bid = n_layer_text + mtp_idx + name = f"model.layers.{new_bid}.{rest}" + bid = new_bid # process the experts separately if name.find("mlp.experts") != -1: @@ -9389,6 +9764,73 @@ class MimoV2Model(TextModel): raise ValueError(f"Unprocessed experts: {experts}") +@ModelBase.register("MiMoV2ForCausalLM") +class MiMoV2VisionModel(MmprojModel): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + assert self.hparams_vision is not None + hp = self.hparams_vision + + hp["image_size"] = hp.get("image_size", 560) + hp["num_attention_heads"] = hp.get("num_heads", 32) + hp["num_hidden_layers"] = hp.get("depth", 28) + + self.n_q_heads = int(hp["num_heads"]) + self.num_kv_heads = int(hp.get("num_key_value_heads", 8)) + self.head_dim = int(hp.get("qk_channels", 64)) + self.spatial_merge_size = int(hp["spatial_merge_size"]) + # MiMoV2 vision RMSNorm: HF uses getattr(config, "rms_norm_eps", 1e-6) and the + # field is absent from MiMo-V2.5's vision_config + self.rms_norm_eps = float(hp.get("rms_norm_eps", 1e-6)) + + # fullatt_block_indexes are also reflected in vit_window_attn_types as -1 + self.fullatt_block_indexes = list(hp.get("fullatt_block_indexes") or []) + self.vit_window_attn_types = list(hp.get("vit_window_attn_types") or []) + self.visual_token_window_size = int(hp.get("visual_token_window_size", -1)) + self.use_sink = bool(hp.get("use_sink", False)) + + def set_gguf_parameters(self): + super().set_gguf_parameters() + + self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.MIMOVL) + self.gguf_writer.add_vision_use_silu(True) + self.gguf_writer.add_vision_head_count_kv(self.num_kv_heads) + self.gguf_writer.add_vision_spatial_merge_size(self.spatial_merge_size) + self.gguf_writer.add_uint32(gguf.Keys.ClipVision.WINDOW_SIZE, self.visual_token_window_size) + self.gguf_writer.add_vision_wa_pattern_mode(self.vit_window_attn_types) + self.gguf_writer.add_vision_attention_layernorm_eps(self.rms_norm_eps) + self.gguf_writer.add_vision_min_pixels(int(self.preprocessor_config["min_pixels"])) + self.gguf_writer.add_vision_max_pixels(int(self.preprocessor_config["max_pixels"])) + + def tensor_force_quant(self, name, new_name, bid, n_dims): + # Sinks must be F32: any sink-style softmax/mask add in ggml requires + # F32, and we fold sinks into a host-built F32 mask at encode time. + if new_name.endswith(".attn_sinks"): + return gguf.GGMLQuantizationType.F32 + return super().tensor_force_quant(name, new_name, bid, n_dims) + + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, _ = item + if not name.startswith("visual."): + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch, name, bid): + # Conv3D patch embed: split along the temporal axis (kt=2) into two Conv2D + # weights that the existing qwen2vl-style two-Conv2D path consumes. + if name == "visual.patch_embed.proj.weight": + _, _, kt, _, _ = data_torch.shape + if kt != 2: + raise ValueError(f"unexpected temporal_patch_size: {kt}") + embd_name = gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + yield (embd_name + ".weight", data_torch[:, :, 0, ...]) + yield (embd_name + ".weight.1", data_torch[:, :, 1, ...]) + return + + yield from super().modify_tensors(data_torch, name, bid) + + @ModelBase.register("Step3p5ForCausalLM") class Step35Model(TextModel): model_arch = gguf.MODEL_ARCH.STEP35 @@ -9459,6 +9901,16 @@ class Step35Model(TextModel): limits_shared_f = [0.0 if v is None else float(v) for v in limits_shared[: self.block_count]] self.gguf_writer.add_swiglu_clamp_shexp(limits_shared_f) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + # Map router bias (expert selection bias) to a GGUF bias tensor + if name.endswith(".moe.router_bias"): + name += ".bias" + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): # remove mtp layers if (m := re.match(r"model\.layers\.(\d+)\.", name)) is not None: @@ -9468,9 +9920,6 @@ class Step35Model(TextModel): return if name.endswith("norm.weight"): data_torch += 1.0 - # Map router bias (expert selection bias) to a GGUF bias tensor - if name.endswith(".moe.router_bias"): - name += ".bias" if name.endswith((".self_attn.g_proj.weight", ".moe.gate.weight", ".moe.up_proj.weight", ".moe.gate_proj.weight", ".moe.down_proj.weight")): data_torch = data_torch.squeeze().contiguous() @@ -9570,8 +10019,6 @@ class Dots1Model(Qwen2MoeModel): self.gguf_writer.add_expert_weights_norm(self.hparams["norm_topk_prob"]) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") if "shared_experts" in name: yield from ModelBase.modify_tensors(self, data_torch, name, bid) else: @@ -9928,11 +10375,17 @@ class JaisModel(TextModel): self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_epsilon"]) self.gguf_writer.add_file_type(self.ftype) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # we don't need these if name.endswith((".attn.bias")): - return + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if name.endswith(("relative_pe.slopes")): # Calculate max ALiBi bias (this is the inverse of the ALiBi calculation) # Some other models has max_alibi_bias spelled out explicitly in the hyperparams, @@ -10019,10 +10472,6 @@ class Glm4Model(TextModel): return result if len(orig_shape) != 1 else result.squeeze(1) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("model.visual."): # ignore visual part of Glm4v - return - elif name.startswith("model.language_model."): - name = name.replace("language_model.", "") # for Glm4v if self.use_mrope: n_head = self.hparams["num_attention_heads"] n_kv_head = self.hparams["num_key_value_heads"] @@ -10108,14 +10557,7 @@ class Glm4MoeModel(TextModel): _experts: list[dict[str, Tensor]] | None = None # note: unlike GLM4V non-MoE, we don't need to permute Q/K here since GLM4V_MOE uses Neox ordering already - def modify_tensors( - self, data_torch: Tensor, name: str, bid: int | None - ) -> Iterable[tuple[str, Tensor]]: - if name.startswith("model.visual."): # ignore visual part - return - elif name.startswith("model.language_model."): - name = name.replace("language_model.", "") # for multimodal variants - + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # Handle main token embedding (but not layer-specific NextN embeddings) if name == "model.embed_tokens.weight" and ".layers." not in name: yield from super().modify_tensors(data_torch, "token_embd.weight", bid) @@ -10150,9 +10592,6 @@ class Glm4MoeModel(TextModel): else: return - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") - yield from super().modify_tensors(data_torch, name, bid) def prepare_tensors(self): @@ -10349,12 +10788,16 @@ class ChatGLMModel(TextModel): rope_freq = rope_freq * self.hparams["rope_ratio"] self.gguf_writer.add_rope_freq_base(rope_freq) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.endswith(".rotary_pos_emb.inv_freq") or name.startswith("model.vision."): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.endswith(".rotary_pos_emb.inv_freq"): + return None name = name.removeprefix("transformer.") - yield from super().modify_tensors(data_torch, name, bid) + + return super().filter_tensors((name, gen)) @ModelBase.register("NemotronForCausalLM") @@ -10554,9 +10997,6 @@ class ExaoneMoEModel(Exaone4Model): yield from super().modify_tensors(data_torch, new_name.format(bid=bid), bid) return - if name.endswith("e_score_correction_bias"): - name = name.replace("e_score_correction_bias", "e_score_correction.bias") - if name.find("mlp.experts") != -1: n_experts = self.find_hparam(["num_local_experts", "num_experts"]) assert bid is not None @@ -10598,7 +11038,7 @@ class ExaoneMoEModel(Exaone4Model): raise ValueError(f"Unprocessed experts: {experts}") -@ModelBase.register("GraniteForCausalLM") +@ModelBase.register("GraniteForCausalLM", "GraniteSpeechForConditionalGeneration") class GraniteModel(LlamaModel): """Conversion for IBM's GraniteForCausalLM""" model_arch = gguf.MODEL_ARCH.GRANITE @@ -10631,6 +11071,13 @@ class GraniteModel(LlamaModel): self.gguf_writer.add_logit_scale(logits_scale) logger.info("gguf: (granite) logits_scale = %s", logits_scale) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("encoder."): + return None + return super().filter_tensors(item) + @ModelBase.register("GraniteMoeForCausalLM", "GraniteMoeSharedForCausalLM") class GraniteMoeModel(GraniteModel): @@ -10759,9 +11206,7 @@ class GraniteHybridModel(Mamba2Model, GraniteMoeModel): keys = list(keys) + prefixed return Mamba2Model.find_hparam(self, keys, *args, **kwargs) - def modify_tensors( - self, data_torch: Tensor, name: str, bid: int | None - ) -> Iterable[tuple[str, Tensor]]: + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if ( name.endswith("block_sparse_moe.input_linear.weight") or "shared_mlp" in name @@ -10984,19 +11429,6 @@ class NemotronHModel(GraniteHybridModel): self.gguf_writer.add_add_bos_token(True) def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Skip vision model and projector tensors for VLM models (handled by mmproj) (e.g., Nemotron Nano 12B v2 VL) - if name.startswith(("vision_model.", "mlp1.")): - return - - if name.startswith(("sound_encoder.")): - return - if name.startswith(("sound_projection.")): - return - - # Strip language_model. prefix for VLM models (e.g., Nemotron Nano 12B v2 VL) - if name.startswith("language_model."): - name = name[len("language_model."):] - if self.is_moe and bid is not None: # Skip Multi-Token Prediction (MTP) tensors. These are used for # for speculative decoding but we don't include them in this model @@ -11005,9 +11437,8 @@ class NemotronHModel(GraniteHybridModel): logger.info(f"gguf: Skipping MTP (Speculative) layer: {name}") return - if name.endswith("mixer.gate.e_score_correction_bias"): - new_name = name.replace("e_score_correction_bias", "e_score_correction.bias") - yield from ModelBase.modify_tensors(self, data_torch, new_name, bid) + if name.endswith("mixer.gate.e_score_correction.bias"): + yield from ModelBase.modify_tensors(self, data_torch, name, bid) return if name.endswith("mixer.dt_bias"): @@ -11210,6 +11641,15 @@ class BailingMoeV2Model(TextModel): _experts: list[dict[str, Tensor]] | None = None + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.endswith(".expert_bias"): + name = name.replace(".expert_bias", ".expert_bias.bias") + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if "mlp.experts" in name: n_experts = self.find_hparam(["num_local_experts", "num_experts"]) @@ -11237,9 +11677,6 @@ class BailingMoeV2Model(TextModel): yield from super().modify_tensors(data_torch, merged_name, bid) return - if name.endswith(".expert_bias"): - name = name.replace(".expert_bias", ".expert_bias.bias") - yield from super().modify_tensors(data_torch, name, bid) def prepare_tensors(self): @@ -11252,6 +11689,34 @@ class BailingMoeV2Model(TextModel): raise ValueError(f"Unprocessed experts: {experts}") +@ModelBase.register("SarvamMoEForCausalLM", "modeling_sarvam_moe.SarvamMoEForCausalLM") +class SarvamMoEModel(BailingMoeV2Model): + model_arch = gguf.MODEL_ARCH.BAILINGMOE2 + # Sarvam-MoE shares the BailingMoeV2 architecture; only differences: + # - full rotary (no partial_rotary_factor) + # - expert bias is zero-mean normalized at load time + + def set_gguf_parameters(self): + super().set_gguf_parameters() + hparams = self.hparams + if (rope_dim := hparams.get("head_dim")) is None: + rope_dim = hparams["hidden_size"] // hparams["num_attention_heads"] + # Override the partial-rotary value written by BailingMoeV2 with the full rotary dim + self.gguf_writer.add_rope_dimension_count(rope_dim) + + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.endswith(".expert_bias"): + # Sarvam normalizes expert bias to zero mean + inner = gen + + def gen(): + t = inner() + return t - t.mean() + return super().filter_tensors((name, gen)) + + @ModelBase.register("GroveMoeForCausalLM", "modeling_grove_moe.GroveMoeForCausalLM") class GroveMoeModel(TextModel): model_arch = gguf.MODEL_ARCH.GROVEMOE @@ -11362,12 +11827,18 @@ class ChameleonModel(TextModel): def set_vocab(self): self._set_vocab_gpt2() - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # ignore image tokenizer for now - # TODO: remove this once image support is implemented for Chameleon - if name.startswith("model.vqmodel"): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # ignore image tokenizer for now + # TODO: image support for Chameleon + if name.startswith("model.vqmodel"): + return None + + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: n_head = self.hparams["num_attention_heads"] n_kv_head = self.hparams.get("num_key_value_heads") hidden_dim = self.hparams.get("hidden_size") @@ -11425,21 +11896,18 @@ class GlmASRWhisperEncoderModel(MmprojModel): return gguf.GGMLQuantizationType.F16 return super().tensor_force_quant(name, new_name, bid, n_dims) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("model.") or name.startswith("lm_head."): + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.startswith(("model.", "lm_head.")): # skip language model tensors - return + return None if name.startswith("audio_encoder.whisper."): name = name.replace("audio_encoder.whisper.","audio_tower.") if "audio_encoder.layer_norm." in name or "audio_encoder.proj." in name: name = name.replace("audio_encoder.", "audio_encoder.adapting.") - - if name.startswith("audio_encoder.audio_bos_eos_token."): - yield from super().modify_tensors(data_torch[0], "model.vision.boi", bid) - yield from super().modify_tensors(data_torch[1], "model.vision.eoi", bid) - return - if name.startswith("audio_encoder.adapting."): name = name.replace("audio_encoder.adapting.","audio.multi_modal_projector.") if ".layer_norm." in name: @@ -11448,6 +11916,16 @@ class GlmASRWhisperEncoderModel(MmprojModel): name = name.replace(".0.", ".linear_1.") if ".2." in name: name = name.replace(".2.", ".linear_2.") + + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + if name.startswith("audio_encoder.audio_bos_eos_token."): + yield from super().modify_tensors(data_torch[0], "model.vision.boi", bid) + yield from super().modify_tensors(data_torch[1], "model.vision.eoi", bid) + return + + if name.startswith("audio_encoder.adapting."): if ".proj." in name: return @@ -11481,15 +11959,17 @@ class WhisperEncoderModel(MmprojModel): return gguf.GGMLQuantizationType.F16 return super().tensor_force_quant(name, new_name, bid, n_dims) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("language_model."): - # skip language model tensors - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item # prevent clash naming with vision tensors if name.startswith("multi_modal_projector"): name = "audio." + name + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if "conv1.bias" in name or "conv2.bias" in name: # transpose conv1 and conv2 bias data_torch = data_torch.unsqueeze(-1) @@ -11521,15 +12001,19 @@ class MERaLiONWhisperEncoderModel(WhisperEncoderModel): self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.MERALION) self.gguf_writer.add_audio_stack_factor(self.global_config.get("speech_mlp_scale_factor", 15)) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("text_decoder."): - return + return None if name.startswith("speech_encoder."): name = name.replace("speech_encoder.", "audio_tower.") - yield from super().modify_tensors(data_torch, name, bid) - return + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: suffix = "." + name.rsplit(".", 1)[-1] if name.startswith("ln_speech."): @@ -12008,10 +12492,6 @@ class HunYuanModel(TextModel): logger.info("Skipping tied output layer 'lm_head.weight'") return - # skip vision tensors for HunyuanVL models - if name.startswith("vit."): - return - yield from super().modify_tensors(data_torch, name, bid) @@ -12065,9 +12545,16 @@ class HunyuanVLVisionModel(MmprojModel): self.gguf_writer.add_vision_min_pixels(int(self.preprocessor_config["min_pixels"])) self.gguf_writer.add_vision_max_pixels(int(self.preprocessor_config["max_pixels"])) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if not name.startswith("vit."): - return + return None + + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # strip CLS token (row 0) from position embeddings so resize_position_embeddings works if "position_embedding" in name: data_torch = data_torch[1:] # [n_patches+1, n_embd] -> [n_patches, n_embd] @@ -12128,12 +12615,6 @@ class HunyuanVLTextModel(HunYuanModel): self.gguf_writer.add_rope_dimension_sections(list(self.rope_parameters["xdrope_section"])) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Skip vision tensors — they are written by HunyuanVLVisionModel - if name.startswith("vit."): - return - yield from super().modify_tensors(data_torch, name, bid) - @ModelBase.register("SmolLM3ForCausalLM") class SmolLM3Model(LlamaModel): @@ -12210,10 +12691,16 @@ class GptOssModel(TextModel): self.repack_mxfp4(new_name_up, blocks1, scales1) return [] - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if "sinks" in name: name += ".weight" + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # correct naming for down_proj if "down_proj" in name: if name.endswith("_bias"): @@ -12286,23 +12773,25 @@ class LFM2Model(TextModel): self.gguf_writer.add_layer_norm_rms_eps(self.hparams["norm_eps"]) self._add_feed_forward_length() - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if self._is_vision_tensor(name) or ConformerAudioModel.is_audio_tensor(name): - # skip multimodal tensors - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if ConformerAudioModel.is_audio_tensor(name): + # skip multimodal tensors + return None - name = name.replace("language_model.", "") # vision name = name.replace("lfm.", "model.") # audio + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # conv op requires 2d tensor if 'conv.conv' in name: data_torch = data_torch.squeeze(1) yield from super().modify_tensors(data_torch, name, bid) - def _is_vision_tensor(self, name: str) -> bool: - return "vision_tower" in name or "multi_modal_projector" in name - @ModelBase.register("Lfm2Model") class LFM2ColBertModel(LFM2Model): @@ -12348,14 +12837,20 @@ class LFM2MoeModel(TextModel): # cache for experts weights for merging _experts_cache: dict[int, dict[str, Tensor]] = {} + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if name.endswith(".expert_bias"): + name = name.replace(".expert_bias", ".expert_bias.bias") + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # conv op requires 2d tensor if 'conv.conv' in name: data_torch = data_torch.squeeze(1) - if name.endswith(".expert_bias"): - name = name.replace(".expert_bias", ".expert_bias.bias") - # merge expert weights if 'experts' in name: n_experts = self.find_hparam(["num_local_experts", "num_experts"]) @@ -12410,21 +12905,20 @@ class LFM2VLModel(MmprojModel): vision_feature_layers_to_drop = -(self.global_config.get("vision_feature_layer", -1) + 1) self.gguf_writer.add_vision_block_count(self.find_vparam(self.n_block_keys) - vision_feature_layers_to_drop) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + name = name.replace("model.vision_tower.", "vision_tower.") + name = name.replace("model.multi_modal_projector.", "multi_modal_projector.") + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - is_vision_tensor = "vision_tower" in name or "multi_modal_projector" in name + if "patch_embedding.weight" in name: + data_torch = data_torch.view(data_torch.shape[0], 16, 16, 3).permute(0, 3, 1, 2) - if is_vision_tensor: - # remove "model." prefix - name = name.replace("model.vision_tower.", "vision_tower.") - name = name.replace("model.multi_modal_projector.", "multi_modal_projector.") - - if "patch_embedding.weight" in name: - data_torch = data_torch.view(data_torch.shape[0], 16, 16, 3).permute(0, 3, 1, 2) - - yield from super().modify_tensors(data_torch, name, bid) - return - - return # skip other tensors + yield from super().modify_tensors(data_torch, name, bid) @ModelBase.register("Lfm2AudioForConditionalGeneration") @@ -12446,19 +12940,105 @@ class LFM2AudioModel(ConformerAudioModel): self.gguf_writer.add_audio_num_mel_bins(self.hparams_audio["feat_in"]) self.gguf_writer.add_audio_attention_layernorm_eps(1e-5) - def modify_tensors(self, data_torch, name, bid): + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # skip language model tensors if name.startswith("lfm."): - return + return None # for training only if any(p in name for p in ["audio_loss_weight"]): - return + return None # for audio output if any(p in name for p in ["codebook_offsets", "depth_embeddings", "depth_linear", "depthformer"]): + return None + + return super().filter_tensors(item) + + +@ModelBase.register("GraniteSpeechForConditionalGeneration") +class GraniteSpeechMmprojModel(MmprojModel): + has_vision_encoder = False + has_audio_encoder = True + + _batch_norm_tensors: list[dict[str, Tensor]] | None = None + + def get_audio_config(self) -> dict[str, Any] | None: + return self.global_config.get("encoder_config") + + def set_gguf_parameters(self): + assert self.hparams_audio is not None + a = self.hparams_audio + a["hidden_size"] = a["hidden_dim"] + a["intermediate_size"] = a["hidden_dim"] * a["feedforward_mult"] + a["num_attention_heads"] = a["num_heads"] + a["num_hidden_layers"] = a["num_layers"] + + super().set_gguf_parameters() + + self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.GRANITE_SPEECH) + self.gguf_writer.add_audio_num_mel_bins(a["input_dim"]) + self.gguf_writer.add_audio_attention_layernorm_eps(1e-5) + self.gguf_writer.add_audio_chunk_size(a["context_size"]) + self.gguf_writer.add_audio_conv_kernel_size(a["conv_kernel_size"]) + self.gguf_writer.add_audio_max_pos_emb(a["max_pos_emb"]) + + p = self.global_config + self.gguf_writer.add_audio_projector_window_size(p["window_size"]) + self.gguf_writer.add_audio_projector_downsample_rate(p["downsample_rate"]) + self.gguf_writer.add_audio_projector_head_count(p["projector_config"]["num_attention_heads"]) + + def tensor_force_quant(self, name, new_name, bid, n_dims): + if "encoder" in name or "projector" in name: + if ".conv" in name and ".weight" in name: + return gguf.GGMLQuantizationType.F32 + return super().tensor_force_quant(name, new_name, bid, n_dims) + + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if "attention_dists" in name or "num_batches_tracked" in name: + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + # fold running_mean, running_var and eps into weight and bias for batch_norm + if "batch_norm" in name and "encoder.layers." in name: + if self._batch_norm_tensors is None: + self._batch_norm_tensors = [{} for _ in range(self.block_count)] + assert bid is not None + self._batch_norm_tensors[bid][name] = data_torch + if len(self._batch_norm_tensors[bid]) < 4: + return + prefix = f"encoder.layers.{bid}.conv.batch_norm" + weight = self._batch_norm_tensors[bid][f"{prefix}.weight"] + bias = self._batch_norm_tensors[bid][f"{prefix}.bias"] + running_mean = self._batch_norm_tensors[bid][f"{prefix}.running_mean"] + running_var = self._batch_norm_tensors[bid][f"{prefix}.running_var"] + eps = 1e-5 + a = weight / torch.sqrt(running_var + eps) + b = bias - running_mean * a + yield from super().modify_tensors(a, f"encoder.layers.{bid}.conv.batch_norm.weight", bid) + yield from super().modify_tensors(b, f"encoder.layers.{bid}.conv.batch_norm.bias", bid) return + if ".attn.to_kv.weight" in name: + k_weight, v_weight = data_torch.chunk(2, dim=0) + yield from super().modify_tensors(k_weight, name.replace("to_kv", "to_k"), bid) + yield from super().modify_tensors(v_weight, name.replace("to_kv", "to_v"), bid) + return + + if ("up_conv" in name or "down_conv" in name) and name.endswith(".weight"): + if data_torch.ndim == 3 and data_torch.shape[2] == 1: + data_torch = data_torch.squeeze(2) + + if "depth_conv" in name and name.endswith(".weight"): + if data_torch.ndim == 3 and data_torch.shape[1] == 1: + data_torch = data_torch.squeeze(1) + yield from super().modify_tensors(data_torch, name, bid) @@ -12474,14 +13054,18 @@ class LFM25AudioTokenizer(LFM2Model): self.gguf_writer.add_sliding_window(self.hparams["sliding_window"]) self.gguf_writer.add_embedding_length_out(self.hparams["output_size"]) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + # skip language model tensors if name == "istft.window" or name.startswith("emb.emb"): - return + return None if name.startswith("lin"): name = name.replace("lin", "dense_2_out") - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors((name, gen)) @ModelBase.register("SmallThinkerForCausalLM") @@ -12574,10 +13158,16 @@ class ModernBertModel(BertModel): self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.NONE) self.gguf_writer.add_vocab_size(self.hparams["vocab_size"]) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("model."): name = name[6:] + return super().filter_tensors((name, gen)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: if self.cls_out_labels: # For BertForSequenceClassification (direct projection layer) if name == "classifier.weight": @@ -12702,11 +13292,12 @@ class MistralModel(LlamaModel): def set_mistral_config(gguf_writer: gguf.GGUFWriter, hparams: dict): if "yarn" in hparams: yarn_params = hparams["yarn"] + mscale_all_dim = 1.0 if not yarn_params["apply_scale"] else 0.0 gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.YARN) gguf_writer.add_rope_scaling_factor(yarn_params["factor"]) gguf_writer.add_rope_scaling_yarn_beta_fast(yarn_params["beta"]) gguf_writer.add_rope_scaling_yarn_beta_slow(yarn_params["alpha"]) - gguf_writer.add_rope_scaling_yarn_log_mul(1.0) # mscale_all_dim + gguf_writer.add_rope_scaling_yarn_log_mul(mscale_all_dim) gguf_writer.add_rope_scaling_orig_ctx_len(yarn_params["original_max_position_embeddings"]) if "llama_4_scaling" in hparams: @@ -12784,9 +13375,9 @@ class MistralMoeModel(DeepseekV2Model): # ref https://github.com/ggml-org/llama.cpp/pull/17945 self.gguf_writer.add_rope_scaling_yarn_log_mul(0.1) # mscale_all_dim * 0.1 - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): - if name.startswith("vision_") or name.startswith("patch_merger.") or "mm_projector" in name: - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item # rename certain tensors so that we can reuse DeepseekV2Model modify_tensors logic if name.endswith(".qscale_act"): @@ -12802,7 +13393,7 @@ class MistralMoeModel(DeepseekV2Model): name = name.replace(".w3.", ".up_proj.") name = "model." + name - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors((name, gen)) class PixtralModel(LlavaVisionModel): @@ -12822,7 +13413,7 @@ class PixtralModel(LlavaVisionModel): self.gguf_writer.add_vision_use_silu(True) # spatial_merge_size - if self.find_vparam(["mm_projector_id"]) == "patch_merge": + if self.find_vparam(["mm_projector_id"], optional=True) == "patch_merge": self.gguf_writer.add_vision_spatial_merge_size( self.find_vparam(["spatial_merge_size"]) ) @@ -12830,8 +13421,12 @@ class PixtralModel(LlavaVisionModel): def map_tensor_name(self, name: str, try_suffixes: Sequence[str] = (".weight", ".bias")) -> str: if name == "vision_language_adapter.w_in.weight": return "mm.1.weight" + elif name == "vision_language_adapter.w_in.bias": + return "mm.1.bias" elif name == "vision_language_adapter.w_out.weight": return "mm.2.weight" + elif name == "vision_language_adapter.w_out.bias": + return "mm.2.bias" return super().map_tensor_name(name, try_suffixes) @@ -12844,10 +13439,14 @@ class LightOnOCRVisionModel(LlavaVisionModel): super().set_gguf_parameters() self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.LIGHTONOCR) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + name = name.replace("model.vision_encoder.", "vision_tower.") name = name.replace("model.vision_projection.", "multi_modal_projector.") - yield from super().modify_tensors(data_torch, name, bid) + + return super().filter_tensors((name, gen)) @ModelBase.register("KimiVLForConditionalGeneration") @@ -12866,21 +13465,29 @@ class KimiVLModel(MmprojModel): assert self.hparams_vision is not None self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams_vision.get("layer_norm_eps", 1e-5)) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + is_vision_tensor = "vision_tower" in name or "multi_modal_projector" in name - if is_vision_tensor: - if "pos_emb.weight" in name: - data_torch = data_torch.view(data_torch.shape[0] * data_torch.shape[1], data_torch.shape[2]) + if not is_vision_tensor: + return None - if "wqkv" in name: - split_dim = 0 if "weight" in name else -1 - wq, wk, wv = data_torch.chunk(3, dim=split_dim) - yield from super().modify_tensors(wq, name.replace("wqkv", "wq"), bid) - yield from super().modify_tensors(wk, name.replace("wqkv", "wk"), bid) - yield from super().modify_tensors(wv, name.replace("wqkv", "wv"), bid) - else: - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + if "pos_emb.weight" in name: + data_torch = data_torch.view(data_torch.shape[0] * data_torch.shape[1], data_torch.shape[2]) + + if "wqkv" in name: + split_dim = 0 if "weight" in name else -1 + wq, wk, wv = data_torch.chunk(3, dim=split_dim) + yield from super().modify_tensors(wq, name.replace("wqkv", "wq"), bid) + yield from super().modify_tensors(wk, name.replace("wqkv", "wk"), bid) + yield from super().modify_tensors(wv, name.replace("wqkv", "wv"), bid) + else: + yield from super().modify_tensors(data_torch, name, bid) @ModelBase.register("KimiK25ForConditionalGeneration") @@ -12936,13 +13543,19 @@ class KimiK25Model(MmprojModel): w = w.permute(0, 2, 1, 3, 4) return w.reshape(out_dim, in_dim) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # Only process vision and projector tensors is_vision = any(x in name for x in ["vision_tower", "mm_projector"]) if not is_vision: - return + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: assert self.hparams_vision is not None n_head = self.hparams_vision.get("num_attention_heads", 16) @@ -12988,30 +13601,29 @@ class CogVLMVisionModel(MmprojModel): self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams.get("layer_norm_eps", 1e-6)) self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.COGVLM) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if not name.startswith("model.vision."): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item - yield from super().modify_tensors(data_torch, name, bid) + if not name.startswith("model.vision."): + return None + + return super().filter_tensors(item) @ModelBase.register("CogVLMForCausalLM") class CogVLMModel(LlamaModel): model_arch = gguf.MODEL_ARCH.COGVLM - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # block vision tensors - if name.startswith("model.vision."): - return - - yield from ModelBase.modify_tensors(self, data_torch, name, bid) - @ModelBase.register("JanusForConditionalGeneration") class JanusProModel(LlamaModel): model_arch = gguf.MODEL_ARCH.LLAMA # reuse Llama arch - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # Skip vision, aligner, and generation tensors skip_prefixes = ( 'model.vision_model.', @@ -13022,14 +13634,9 @@ class JanusProModel(LlamaModel): 'model.generation_head.', ) if name.startswith(skip_prefixes): - return + return None - if name.startswith('model.language_model.'): - name = name.replace('model.language_model.', 'model.') - elif name.startswith('language_model.'): - name = name.replace('language_model.', '') - - yield from super().modify_tensors(data_torch, name, bid) + return super().filter_tensors(item) @ModelBase.register("JanusForConditionalGeneration") @@ -13081,10 +13688,9 @@ class JanusProVisionModel(MmprojModel): tensor_name = self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ, mm_index, suffix=suffix) return [(tensor_name, data_torch)] - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - # Skip language model tensors as they will be handled by `JanusProModel` - if name.startswith(('model.language_model.', 'language_model.')): - return + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item # Skip generation-related components skip_generation_prefixes = ( @@ -13098,8 +13704,11 @@ class JanusProVisionModel(MmprojModel): 'generation_head.', ) if name.startswith(skip_generation_prefixes): - return + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # Handle aligner tensors if name.startswith(('model.aligner.', 'aligner.')): yield from self._map_aligner_tensor(data_torch, name) @@ -13148,12 +13757,18 @@ class YoutuVLVisionModel(MmprojModel): # Store the explicit layer indices for YoutuVL (irregular pattern approach) self.gguf_writer.add_vision_wa_layer_indexes(layers=fullatt_block_indexes) - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + # Skip language model tensors skip_prefixes = ('lm_head.', 'model.layers.', 'model.embed_tokens.', 'model.norm.') if name.startswith(skip_prefixes): - return + return None + return super().filter_tensors(item) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: # Try to map the tensor using TensorNameMap (handles vision encoder and projector) try: yield from super().modify_tensors(data_torch, name, bid) @@ -13199,19 +13814,49 @@ class DotsOCRVisionModel(MmprojModel): self.gguf_writer.add_vision_projector_scale_factor(self.find_vparam(["spatial_merge_size"])) self.gguf_writer.add_vision_use_silu(True) + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + + if not name.startswith("vision_tower."): + return None + + if "vision_tower.blocks." in name and ".mlp." in name: + # note: to avoid naming conflicts in tensor_mapping.py, we need to handle FFN renaming here + # x = F.silu(self.fc1(x)) * self.fc3(x) + # x = self.fc2(x) + # fc1 -> gate, fc2 -> down, fc3 -> up + # mapping original names to Qwen2.5 naming scheme + name = name.replace("vision_tower.blocks.", "visual.blocks.") + name = name.replace(".fc1", ".gate_proj") + name = name.replace(".fc2", ".down_proj") + name = name.replace(".fc3", ".up_proj") + + return super().filter_tensors((name, gen)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: - if name.startswith("vision_tower."): - if "vision_tower.blocks." in name and ".mlp." in name: - # note: to avoid naming conflicts in tensor_mapping.py, we need to handle FFN renaming here - # x = F.silu(self.fc1(x)) * self.fc3(x) - # x = self.fc2(x) - # fc1 -> gate, fc2 -> down, fc3 -> up - # mapping original names to Qwen2.5 naming scheme - name = name.replace("vision_tower.blocks.", "visual.blocks.") - name = name.replace(".fc1", ".gate_proj") - name = name.replace(".fc2", ".down_proj") - name = name.replace(".fc3", ".up_proj") - yield from super().modify_tensors(data_torch, name, bid) + yield from super().modify_tensors(data_torch, name, bid) + + +@ModelBase.register("Sarashina2VisionForCausalLM") +class Sarashina2VLTextModel(LlamaModel): + model_arch = gguf.MODEL_ARCH.LLAMA + + @classmethod + def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None: + name, gen = item + if name.startswith("llm."): + name = name.replace("llm.", "", 1) + elif name.startswith("norm."): + return None + return super().filter_tensors((name, gen)) + + +@ModelBase.register("Sarashina2VisionForCausalLM") +class Sarashina2VLVisionModel(Qwen2VLVisionModel): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.global_config['model_type'] = "qwen2_vl" ###### CONVERSION LOGIC ###### @@ -13232,17 +13877,18 @@ class LazyTorchTensor(gguf.LazyBase): } # only used when byteswapping data. Only correct size is needed + # TODO: uncomment uint64, uint32, and uint16, ref: https://github.com/pytorch/pytorch/issues/58734 _dtype_byteswap_map: dict[torch.dtype, type] = { torch.float64: np.float64, torch.float32: np.float32, torch.bfloat16: np.float16, torch.float16: np.float16, torch.int64: np.int64, - torch.uint64: np.uint64, + # torch.uint64: np.uint64, torch.int32: np.int32, - torch.uint32: np.uint32, + # torch.uint32: np.uint32, torch.int16: np.int16, - torch.uint16: np.uint16, + # torch.uint16: np.uint16, torch.int8: np.int8, torch.uint8: np.uint8, torch.bool: np.uint8, @@ -13469,7 +14115,7 @@ def get_model_architecture(hparams: dict[str, Any], model_type: ModelType) -> st # Step3-VL keeps text config under text_config but uses a custom top-level architecture. # For text conversion we route to a dedicated text-only class. # TODO: refactor this later to avoid adding exception here - if model_type == ModelType.TEXT and arch == "StepVLForConditionalGeneration": + if model_type == ModelType.TEXT and arch in ("StepVLForConditionalGeneration", "Sarashina2VisionForCausalLM"): return arch # if "architectures" is found in the sub-config, use that instead diff --git a/convert_hf_to_gguf_update.py b/convert_hf_to_gguf_update.py index d8d10a1012..8d73b1f554 100755 --- a/convert_hf_to_gguf_update.py +++ b/convert_hf_to_gguf_update.py @@ -155,6 +155,7 @@ models = [ {"name": "joyai-llm", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jdopensource/JoyAI-LLM-Flash", }, {"name": "kanana2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/kakaocorp/kanana-2-30b-a3b-instruct-2601", }, {"name": "f2llmv2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/codefuse-ai/F2LLM-v2-4B", }, + {"name": "sarvam-moe", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/sarvamai/sarvam-30b", }, ] # some models are known to be broken upstream, so we will skip them as exceptions @@ -175,6 +176,7 @@ pre_computed_hashes = [ {"name": "falcon-h1", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/tiiuae/Falcon-H1-34B-Base", "chkhsh": "48f8e02c0359c0bbdd82f26909171fac1c18a457bb47573ed1fe3bbb2c1cfd4b"}, {"name": "kimi-k2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/moonshotai/Kimi-K2-Base", "chkhsh": "81212dc7cdb7e0c1074ca62c5aeab0d43c9f52b8a737be7b12a777c953027890"}, {"name": "qwen2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B", "chkhsh": "d4540891389ea895b53b399da6ac824becc30f2fba0e9ddbb98f92e55ca0e97c"}, + {"name": "qwen35", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/openbmb/MiniCPM-V-4_6", "chkhsh": "1444df51289cfa8063b96f0e62b1125440111bc79a52003ea14b6eac7016fd5f"}, {"name": "grok-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/alvarobartt/grok-2-tokenizer", "chkhsh": "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273"}, # jina-v2-de variants {"name": "jina-v2-de", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/aari1995/German_Semantic_V3", "chkhsh": "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df"}, diff --git a/convert_lora_to_gguf.py b/convert_lora_to_gguf.py index d583342056..ad4751bb96 100755 --- a/convert_lora_to_gguf.py +++ b/convert_lora_to_gguf.py @@ -188,6 +188,24 @@ class LoraTorchTensor: def swapaxes(self, axis0: int, axis1: int) -> LoraTorchTensor: return self.transpose(axis0, axis1) + def split(self, split_size: int | Sequence[int], dim: int = 0) -> tuple[LoraTorchTensor, ...]: + shape = self.shape + ndim = len(shape) + if dim < 0: + dim += ndim + if dim == ndim - 1: + A_chunks = self._lora_A.split(split_size, dim=-1) + return tuple(LoraTorchTensor(a, self._lora_B) for a in A_chunks) + elif dim == ndim - 2: + B_chunks = self._lora_B.split(split_size, dim=-2) + return tuple(LoraTorchTensor(self._lora_A, b) for b in B_chunks) + else: + B_chunks = self._lora_B.split(split_size, dim=dim) + if self._lora_A.shape[dim] == 1: + return tuple(LoraTorchTensor(self._lora_A, b) for b in B_chunks) + A_chunks = self._lora_A.split(split_size, dim=dim) + return tuple(LoraTorchTensor(a, b) for a, b in zip(A_chunks, B_chunks)) + def to(self, *args, **kwargs): return LoraTorchTensor(self._lora_A.to(*args, **kwargs), self._lora_B.to(*args, **kwargs)) @@ -230,6 +248,11 @@ class LoraTorchTensor: ) else: raise NotImplementedError + elif func is torch.split: + assert len(args) and len(args) >= 2 + tensor, split_size = args[0], args[1] + dim = args[2] if len(args) > 2 else kwargs.get("dim", 0) + return tensor.split(split_size, dim=dim) else: raise NotImplementedError diff --git a/docs/backend/OPENVINO.md b/docs/backend/OPENVINO.md index c9c005a998..b0e19abb09 100644 --- a/docs/backend/OPENVINO.md +++ b/docs/backend/OPENVINO.md @@ -57,17 +57,22 @@ Although OpenVINO supports a wide range of [Intel hardware](https://docs.openvin ## Validated Models -The following models have been validated for functionality on Intel® Core™ Ultra Series 1 and Series 2: +The following models were validated on Intel® Core™ Ultra Series 2. While our testing was limited, the OpenVINO backend is expected to work across a broad range of [Intel hardware](https://docs.openvino.ai/2026/about-openvino/release-notes-openvino/system-requirements.html). +- Use `GGML_OPENVINO_STATEFUL_EXECUTION=1` when using GPU device. +- `-fa 1` is required when running llama-bench with the OpenVINO backend. +- Additional model support, quantization formats and validations are work in progress. -- [Llama-3.2-1B-Instruct-GGUF](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/) -- [Llama-3.1-8B-Instruct](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) -- [microsoft/Phi-3-mini-4k-instruct-gguf](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf) -- [Qwen/Qwen2.5-1.5B-Instruct-GGUF](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF) -- [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B-GGUF) -- [openbmb/MiniCPM-1B-sft-bf16](https://huggingface.co/openbmb/MiniCPM-S-1B-sft-gguf) -- [tencent/Hunyuan-7B-Instruct](https://huggingface.co/bartowski/tencent_Hunyuan-7B-Instruct-GGUF) -- [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.3-GGUF) -- [bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF](https://huggingface.co/bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF) +| Model | Validated | Known Issues | +| :------| :---------- | :-------------| +| [Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/) | `FP16`, `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/GPU/NPU | — | +| [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) | `Q8_0`, `Q4_K_M` on CPU/GPU/NPU | `Q4_0_8_8`, `Q4_0_4_8`, `Q4_0_4_4` fail | +| [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf) | `FP16`, `Q4` on CPU/NPU | GPU unsupported for `FP16` and `Q4` (`llama-cli`, `llama-bench`) | +| [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF) | `FP16`, `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/GPU/NPU | — | +| [Qwen3-8B-Instruct](https://huggingface.co/Qwen/Qwen3-8B-GGUF) | `FP16`, `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/NPU; GPU works via `llama-bench` | GPU `llama-cli` unsupported for all quantizations | +| [MiniCPM-V-2_6-GGUF](https://huggingface.co/openbmb/MiniCPM-V-2_6-gguf) | `Q4_0` on CPU/GPU/NPU | — | +| [DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF) | `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M` on CPU/GPU/NPU | — | +| [Hunyuan-7B-Instruct](https://huggingface.co/bartowski/tencent_Hunyuan-7B-Instruct-GGUF) | CPU: `Q8_0`, `Q4_0`, `Q4_1`, `Q4_K_M`; GPU: `Q8_0`, `Q4_0`, `Q4_1`; NPU (`llama-bench` only): `Q4_0`, `Q4_1`, `Q4_K_M` | GPU `Q4_K_M` unsupported; NPU `llama-cli` unsupported | +| [Mistral-7B-Instruct-v0.3](https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.3-GGUF/) | CPU/GPU: `Q8_0`, `Q4_K_M`; NPU: `Q8_0`, `Q4_K_M` (via `llama-bench`) | NPU `llama-cli` unsupported for `Q8_0`, `Q4_K_M` | ## Build Instructions diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md index 7ebb4ec029..f66facc856 100644 --- a/docs/backend/SYCL.md +++ b/docs/backend/SYCL.md @@ -737,6 +737,14 @@ use 1 SYCL GPUs: [0] with Max compute units:512 | ZES_ENABLE_SYSMAN | 0 (default) or 1 | Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory.<br>Recommended to use when --split-mode = layer | | UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS | 0 (default) or 1 | Support malloc device memory more than 4GB.| +## Compile-time Flags + +Pass these via `CXXFLAGS` or add a one-off `#define` to enable a flag on the spot. + +| Name | Function | +|-----------------|----------------------------------------------------------------------------------| +| DEBUG_SYCL_POOL | Enable device memory pool logging on teardown. Useful for profiling allocations. | + ## Design Rule - Open to all contributors. diff --git a/docs/multi-gpu.md b/docs/multi-gpu.md new file mode 100644 index 0000000000..0d9eea7c2f --- /dev/null +++ b/docs/multi-gpu.md @@ -0,0 +1,127 @@ +# Using multiple GPUs with llama.cpp + +This guide explains how to run [llama.cpp](https://github.com/ggml-org/llama.cpp) across more than one GPU. It covers the split modes, the command-line flags that control them, the limitations you need to know about, and ready-to-use recipes for `llama-cli` and `llama-server`. + +The CLI arguments listed here are the same for both tools - or most llama.cpp binaries for that matter. + +--- + +## When you need multi-GPU + +Reach for multi-GPU when one of these is true: + +- **The model doesn't fit in a single GPU's VRAM.** By spreading the weights across two or more GPUs the whole model can stay on accelerators. Otherwise part of the model will need to be run off of the comparatively slower system RAM. +- **You want more throughput.** By distributing the computation across multiple GPUs, each individual GPU has to do less work. This can result in better prefill and/or token generation performance, depending on the split mode and interconnect speed vs. the speed of an individual GPU. + +--- + +## The split modes + +Set with `--split-mode` / `-sm`. + +| Mode | What it does | When to use | +|---|---|---| +| `none` | Use a single GPU only. Pick which one with `--main-gpu`. | You explicitly want to confine the model to one GPU even though more are visible. | +| `layer` (**default**) | Pipeline parallelism. Each GPU holds a contiguous slice of layers. The KV cache for layer *l* lives on the GPU that owns layer *l*. | Default and most compatible multi-GPU choice. You want more memory than a single GPU provides and your priority is a fast prefill. Can tolerate slow interconnect speeds between GPUs. | +| `row` | **Deprecated.** Older row-split tensor-parallel path with comparatively poor performance. Splits only dense weights across GPUs. Superseded by `tensor` which should be universally superior if it can be used. | Avoid in new deployments. | +| `tensor` | **EXPERIMENTAL.** Tensor parallelism that splits both weights *and* KV across the participating GPUs via a "meta device" abstraction. | You want more memory than a single GPU provides and your priority is fast token generation. Prefill speeds approach pipeline parallel speeds for large, dense models and fast GPU interconnect speeds. Treat as experimental as the code is less mature than pipeline parallelism. Performance should be good for multiple NVIDIA GPUs using the CUDA backend, no guarantees otherwise. | + +> Pipeline parallel (`layer`) vs. tensor parallel (`tensor`): pipeline-parallel runs different layers on different GPUs and processes tokens sequentially through the pipeline. This minimizes data transfers between GPUs but requires many tokens to scale well. Tensor-parallel splits each layer across GPUs and does multiple cross-GPU reductions per layer. This enables parallelizing any workload but is much more bottlenecked by the GPU interconnect speed. Pipeline-parallel maximizes batch throughput; tensor-parallel minimizes latency. + +--- + +## Command-line arguments reference + +| Short | Long | Value | Default | Notes | +|---|---|---|---|---| +| `-sm` | `--split-mode` | `none` \| `layer` \| `tensor` | `layer` | See modes above. | +| `-ts` | `--tensor-split` | comma-separated proportions, e.g. `3,1` | mode-dependent | How much of the model goes to each GPU. If omitted, `layer`/`row` use automatic splitting proportional to memory, while `tensor` splits tensor segments evenly. With `3,1` on two GPUs, GPU 0 gets 75 %, GPU 1 gets 25 %. The values follow the order in `--device`. | +| `-mg` | `--main-gpu` | integer device index | `0` | The single GPU used in `--split-mode none`. | +| `-ngl` | `--n-gpu-layers` / `--gpu-layers` | integer \| `auto` \| `all` | `auto` | Maximum number of layers to keep in VRAM. Use `999` or `all` to push everything possible to the GPUs. | +| `-dev` | `--device` | comma-separated device names, or `none` | auto | Restrict which devices llama.cpp may use. See `--list-devices` for names. | +| | `--list-devices` | - | - | Print the available devices and their memory. Run this first to learn the names you'd pass to `--device`. | +| `-fa` | `--flash-attn` | `on` \| `off` \| `auto` | `auto` | Required when using `--split-mode tensor` and/or quantized V cache. Supported (and therefore enabled by default) for most combinations of models and backends. | +| `-ctk` | `--cache-type-k` | `f32` \| `f16` \| `bf16` \| `q8_0` \| `q4_0` \| ... | `f16` | KV cache type for K. | +| `-ctv` | `--cache-type-v` | same as `-ctk` | `f16` | KV cache type for V. | +| `-fit` | `--fit` | `on` \| `off` | `on` | Auto-fit unset args to device memory. **Not supported with `tensor`. You may need to manually set the `--ctx-size` to make the model fit.** | + +As for any CUDA program, the environment variable `CUDA_VISIBLE_DEVICES` can be used to control which GPUs to use for the CUDA backend: if you set it, llama.cpp only sees the specified GPUs. Use `--device` for selecting GPUs from among those visible to llama.cpp, this works for any backend. + +--- + +## Recipes + +### 1. Default - pipeline parallel across all visible GPUs + +```bash +llama-cli -m model.gguf +llama-server -m model.gguf +``` + +Easiest configuration. KV cache spreads across the GPUs along with the layers. `--fit` (on by default) sizes things automatically. + +### 2. Pipeline parallel with a custom split ratio + +```bash +llama-cli -m model.gguf -ts 3,1 +``` + +Useful when GPUs have different memory: GPU 0 (3 parts) and GPU 1 (1 part). Proportions are normalized so `-ts 3,1` is the same as e.g. `-ts 75,25`. + +### 3. Single-GPU mode, picking a specific GPU + +```bash +llama-cli --list-devices +llama-cli -m model.gguf -dev CUDA1 +``` + +Use only the device listed as `CUDA1` when calling with `--list-devices`. + +### 4. Tensor parallelism (experimental) + +```bash +llama-cli -m model.gguf -sm tensor -ctk f16 -ctv f16 +``` + +- `--flash-attn off` or (`--flash-attn auto` resolving to `off` when it isn't supported) is a hard error. +- KV cache types must be non-quantized: `f32`, `f16`, or `bf16`. Support for quantized KV cache is not implemented and trying to use it will result in an error. +- Mark this configuration as experimental in your tooling: validate output quality before deploying. +- `--split-mode tensor`is not implemented for all architectures. The following will fail with *"LLAMA_SPLIT_MODE_TENSOR not implemented for architecture '...'"*: + + - **MoE / hybrid:** Grok, MPT, OLMoE, DeepSeek2, GLM-DSA, Nemotron-H, Nemotron-H-MoE, Granite-Hybrid, LFM2-MoE, Minimax-M2, Mistral4, Kimi-Linear, Jamba, Falcon-H1 + - **State-space / RWKV-style:** Mamba, Mamba2 (and the hybrid Mamba-attention models above) + - **Other:** PLAMO2, MiniCPM3, Gemma-3n, OLMo2, BitNet, T5 + +### 5. With NCCL + +There's no runtime flag for NCCL - it's selected at build time (`-DGGML_CUDA_NCCL=ON`, this is the default). Note that NCCL is **not** automatically distributed with CUDA and you may need to install it manually - when in doubt check the CMake log to see whether or not it can find the package. When llama.cpp is compiled with NCCL support it uses it automatically for cross-GPU reductions in `tensor` mode. When NCCL is missing on a multi-GPU build, you'll see this one-time warning and performance will be lower: + +``` +NVIDIA Collective Communications Library (NCCL) is unavailable, multi GPU performance will be suboptimal +``` + +When using the "ROCm" backend (which is the ggml CUDA code translated for AMD via HIP), the AMD equivalent RCCL can be used by compiling with `-DGGML_HIP_RCCL=ON`. Note that RCCL is by default *disabled* because (unlike NCCL) it was not universally beneficial during testing. +### 6. With CUDA peer-to-peer access (`GGML_CUDA_P2P`) + +CUDA peer-to-peer (P2P) lets GPUs transfer data directly between each other instead of going through system memory, which generally improves multi-GPU performance. It is **opt-in** at runtime - set the environment variable `GGML_CUDA_P2P` to any value to enable it: + +```bash +GGML_CUDA_P2P=1 llama-cli -m model.gguf -sm tensor +``` + +P2P requires driver support (usually restricted to workstation/datacenter GPUs) and **may cause crashes or corrupted outputs on some motherboards or BIOS configurations** (e.g. when IOMMU is enabled). If you see instability after enabling it, unset the variable. + +--- + +## Troubleshooting + +| Symptom | How to fix | +|---|---| +| Startup error *"SPLIT_MODE_TENSOR requires flash_attn to be enabled"* | Add `-fa on` or remove `-fa off`. | +| Startup error *"simultaneous use of SPLIT_MODE_TENSOR and KV cache quantization not implemented"* | Use `-ctk f16 -ctv f16` (or `bf16`/`f32`) with `--split-mode tensor`. | +| Startup error *"LLAMA_SPLIT_MODE_TENSOR not implemented for architecture 'X'"* | Architecture not on the TENSOR allow-list. Use `--split-mode layer`. | +| Warning *"NCCL is unavailable, multi GPU performance will be suboptimal"* | llama.cpp wasn't built with NCCL. Either accept the lower performance or install NCCL and rebuild. | +| CUDA OOM at startup or during prefill in `--split-mode tensor` | Auto-fit is disabled in this mode, so reduce memory pressure yourself. In order from least to most disruptive: lower `--ctx-size` (`-c`) (KV cache is roughly proportional to `n_ctx`); for `llama-server`, lower `--parallel` (`-np`) (a slot KV cache is allocated per concurrent sequence); as a last resort, reduce `--n-gpu-layers` (`-ngl`) (the remaining layers run on CPU and inference will be much slower). | +| Performance is worse with multi-GPU than single-GPU | The performance is bottlenecked by GPU interconnect speed. For `--split-mode tensor`, verify that NCCL is being used. Try `--split-mode layer` (less communication than `tensor`). Increase GPU interconnect speed via more PCIe lanes or e.g. NVLink (if available). | +| GPU not used at all | `--n-gpu-layers` is `0` or too low - try explicitly setting `-ngl all`. Or you are accidentally hiding the GPUs via an environment variable like `CUDA_VISIBLE_DEVICES=-1`. Or your build doesn't include support for the relevant backend. | +| Crashes or corrupted outputs after setting `GGML_CUDA_P2P=1` | Some motherboards and BIOS settings (e.g. with IOMMU enabled) don't support CUDA peer-to-peer reliably. Unset `GGML_CUDA_P2P`. | diff --git a/docs/multimodal/minicpmv4.6.md b/docs/multimodal/minicpmv4.6.md new file mode 100644 index 0000000000..4aa13f8eb0 --- /dev/null +++ b/docs/multimodal/minicpmv4.6.md @@ -0,0 +1,49 @@ +## MiniCPM-V 4.6 + +### Prepare models and code + +Download [MiniCPM-V-4_6](https://huggingface.co/openbmb/MiniCPM-V-4_6) PyTorch model from huggingface to "MiniCPM-V-4_6" folder. + +The model must be the standard `transformers` v5.7.0+ checkpoint (no `trust_remote_code`); the architecture in `config.json` is `MiniCPMV4_6ForConditionalGeneration` with a `qwen3_5_text` text model and a SigLIP-based vision tower plus a window-attention `vit_merger`. + +### Build llama.cpp + +If there are differences in usage, please refer to the official build [documentation](https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md) + +Clone llama.cpp: +```bash +git clone https://github.com/ggml-org/llama.cpp +cd llama.cpp +``` + +Build llama.cpp using `CMake`: +```bash +cmake -B build +cmake --build build --config Release +``` + + +### Usage of MiniCPM-V 4.6 + +Unlike older MiniCPM-V variants, MiniCPM-V 4.6 is converted directly through `convert_hf_to_gguf.py`. The same script is invoked twice on the original Hugging Face directory: once to produce the language-model GGUF and once with `--mmproj` to produce the multimodal projector GGUF. + +```bash +# language model +python ./convert_hf_to_gguf.py ../MiniCPM-V-4_6 --outfile ../MiniCPM-V-4_6/ggml-model-f16.gguf + +# multimodal projector (vision tower + window-attention vit_merger + DownsampleMLP merger) +python ./convert_hf_to_gguf.py ../MiniCPM-V-4_6 --mmproj --outfile ../MiniCPM-V-4_6/mmproj-model-f16.gguf + +# optional: quantize to Q4_K_M +./build/bin/llama-quantize ../MiniCPM-V-4_6/ggml-model-f16.gguf ../MiniCPM-V-4_6/ggml-model-Q4_K_M.gguf Q4_K_M +``` + + +Inference on Linux or Mac +```bash +# run in single-turn mode +./build/bin/llama-mtmd-cli -m ../MiniCPM-V-4_6/ggml-model-f16.gguf --mmproj ../MiniCPM-V-4_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -p "What is in the image?" + +# run in conversation mode +./build/bin/llama-mtmd-cli -m ../MiniCPM-V-4_6/ggml-model-Q4_K_M.gguf --mmproj ../MiniCPM-V-4_6/mmproj-model-f16.gguf +``` diff --git a/docs/ops.md b/docs/ops.md index af0dd28367..dace2d3d53 100644 --- a/docs/ops.md +++ b/docs/ops.md @@ -17,8 +17,8 @@ Legend: | ABS | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | ACC | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | | ADD | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| ADD1 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | -| ADD_ID | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | +| ADD1 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | +| ADD_ID | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | ARANGE | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | @@ -36,15 +36,15 @@ Legend: | CPY | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | CROSS_ENTROPY_LOSS | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | -| CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | -| DIAG | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | +| CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | +| DIAG | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | | DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | | ELU | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | EXP | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | EXPM1 | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | -| FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | +| FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | FLOOR | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | GATED_DELTA_NET | ❌ | ❌ | ✅ | ❌ | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | @@ -61,16 +61,17 @@ Legend: | HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | HARDSWISH | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | IM2COL | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| IM2COL_3D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | +| IM2COL_3D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | L2_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | | LOG | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | | MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | | MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | +| MUL_MAT_HADAMARD | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | | MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | ❌ | | NEG | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ❌ | ❌ | ❌ | +| NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | OPT_STEP_SGD | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | OUT_PROD | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | 🟡 | @@ -101,11 +102,11 @@ Legend: | SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | -| SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | +| SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | | SQR | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | SQRT | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | SSM_CONV | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | +| SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | STEP | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SUB | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SUM | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | 🟡 | ❌ | ❌ | @@ -117,5 +118,5 @@ Legend: | TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | TRUNC | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | -| UPSCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | +| UPSCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ | | XIELU | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | diff --git a/docs/ops/SYCL.csv b/docs/ops/SYCL.csv index afcb7e4b8e..345129b5a6 100644 --- a/docs/ops/SYCL.csv +++ b/docs/ops/SYCL.csv @@ -310,10 +310,10 @@ "SYCL0","GET_ROWS","type=f16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","SYCL" "SYCL0","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","SYCL" "SYCL0","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","SYCL" -"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","SYCL" -"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","SYCL" -"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","SYCL" -"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","SYCL" +"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","SYCL" +"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","SYCL" +"SYCL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","SYCL" "SYCL0","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","SYCL" "SYCL0","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","SYCL" "SYCL0","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","SYCL" @@ -334,10 +334,18 @@ "SYCL0","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","SYCL" "SYCL0","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","SYCL" "SYCL0","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","SYCL" +"SYCL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","SYCL" "SYCL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","SYCL" "SYCL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","SYCL" +"SYCL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","SYCL" "SYCL0","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","SYCL" @@ -415,8 +423,12 @@ "SYCL0","GET_ROWS_BACK","type=q5_1,n=256,m=5,r=4,b=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=0","support","0","no","SYCL" "SYCL0","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=1","support","0","no","SYCL" +"SYCL0","GET_ROWS_BACK","type=q1_0,n=256,m=5,r=4,b=1,v=0","support","0","no","SYCL" +"SYCL0","GET_ROWS_BACK","type=q1_0,n=256,m=5,r=4,b=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","SYCL" "SYCL0","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","SYCL" +"SYCL0","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","SYCL" +"SYCL0","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=0","support","0","no","SYCL" "SYCL0","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=1","support","0","no","SYCL" "SYCL0","GET_ROWS_BACK","type=q3_K,n=256,m=5,r=4,b=1,v=0","support","0","no","SYCL" @@ -570,6 +582,18 @@ "SYCL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL" "SYCL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","SYCL" "SYCL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL" "SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL" "SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL" "SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL" @@ -582,6 +606,18 @@ "SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL" "SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","SYCL" "SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","SYCL" +"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL" "SYCL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL" "SYCL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL" "SYCL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL" @@ -1014,2057 +1050,2057 @@ "SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","SYCL" "SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","SYCL" "SYCL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","SYCL" -"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","1","yes","SYCL" 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+"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","1","yes","SYCL" +"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","1","yes","SYCL" "SYCL0","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","SYCL" "SYCL0","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","SYCL" "SYCL0","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","SYCL" @@ -5011,9 +5047,12 @@ "SYCL0","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" "SYCL0","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" "SYCL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" -"SYCL0","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","SYCL" -"SYCL0","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","SYCL" -"SYCL0","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","SYCL" +"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","SYCL" +"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","SYCL" +"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","SYCL" +"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","SYCL" +"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","SYCL" +"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","SYCL" "SYCL0","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","1","yes","SYCL" "SYCL0","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","1","yes","SYCL" "SYCL0","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","SYCL" @@ -5141,6 +5180,15 @@ "SYCL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" @@ -5150,6 +5198,15 @@ "SYCL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","SYCL" @@ -5292,8 +5349,12 @@ "SYCL0","CPY","type_src=f16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=f16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=f16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=f16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=f16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" @@ -5338,8 +5399,12 @@ "SYCL0","CPY","type_src=bf16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=bf16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=bf16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=bf16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=bf16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=bf16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=bf16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=bf16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" @@ -5384,8 +5449,12 @@ "SYCL0","CPY","type_src=f32,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=f32,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=f32,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=f32,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=f32,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f32,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f32,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=f32,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=f32,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f32,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f32,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=f32,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" @@ -5430,8 +5499,12 @@ "SYCL0","CPY","type_src=q5_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=q8_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=q8_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=q1_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=mxfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=mxfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" +"SYCL0","CPY","type_src=nvfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=q2_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=q2_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" "SYCL0","CPY","type_src=q3_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","SYCL" @@ -5514,368 +5587,366 @@ "SYCL0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","SYCL" "SYCL0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","SYCL" "SYCL0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" -"SYCL0","ADD1","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" -"SYCL0","ADD1","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" 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+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0,src_overlap=0","support","1","yes","SYCL" "SYCL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","SYCL" "SYCL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","SYCL" "SYCL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=1","support","1","yes","SYCL" @@ -5997,9 +6068,10 @@ "SYCL0","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" -"SYCL0","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL" -"SYCL0","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL" -"SYCL0","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL" +"SYCL0","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4,xbc_overlap=0","support","0","no","SYCL" +"SYCL0","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4,xbc_overlap=0","support","1","yes","SYCL" +"SYCL0","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4,xbc_overlap=0","support","1","yes","SYCL" +"SYCL0","SSM_SCAN","type=f32,d_state=128,head_dim=128,n_head=4,n_group=4,n_seq_tokens=16,n_seqs=2,xbc_overlap=1","support","1","yes","SYCL" "SYCL0","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","1","yes","SYCL" "SYCL0","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","1","yes","SYCL" "SYCL0","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","1","yes","SYCL" @@ -6012,6 +6084,10 @@ "SYCL0","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","1","yes","SYCL" "SYCL0","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","1","yes","SYCL" "SYCL0","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=128,n_seqs=4","support","1","yes","SYCL" +"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=128,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=64,n=1,k=64,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=256,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=128,n=32,k=128,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6030,15 +6106,15 @@ "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6084,6 +6160,15 @@ "SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6093,6 +6178,15 @@ "SYCL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" 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"SYCL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6513,6 +6607,68 @@ "SYCL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" 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+"SYCL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6779,26 +6997,26 @@ "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6810,16 +7028,16 @@ "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6831,6 +7049,8 @@ "SYCL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6844,8 +7064,8 @@ "SYCL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=1,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=1,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=128,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6859,13 +7079,15 @@ "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q5_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q5_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=q1_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","SYCL" "SYCL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q2_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q3_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -6883,386 +7105,386 @@ "SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" -"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","SYCL" +"SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" 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"SYCL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","SYCL" "SYCL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","SYCL" "SYCL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","SYCL" @@ -8907,6 +9531,10 @@ "SYCL0","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","SYCL" "SYCL0","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","SYCL" "SYCL0","OUT_PROD","type_a=iq2_xxs,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","SYCL" +"SYCL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","1","yes","SYCL" +"SYCL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[8,1],nr=[1,1],trans_b=0","support","0","no","SYCL" +"SYCL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[16,1],nr=[1,1],trans_b=0","support","0","no","SYCL" +"SYCL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=16,k=16,bs=[32,1],nr=[1,1],trans_b=0","support","0","no","SYCL" "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=1,n_token=1","support","1","yes","SYCL" "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=1,n_token=32","support","1","yes","SYCL" "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=4,n_experts_used=1,n_token=129","support","1","yes","SYCL" @@ -9863,10 +10491,12 @@ "SYCL0","ARGSORT","type=f32,ne=[1023,2,1,3],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[1024,2,1,3],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[1025,2,1,3],order=0","support","1","yes","SYCL" +"SYCL0","ARGSORT","type=f32,ne=[1025,256,1,1],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2047,2,1,3],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2048,2,1,3],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2049,2,1,3],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2,8,8192,1],order=0","support","1","yes","SYCL" +"SYCL0","ARGSORT","type=f32,ne=[2048,512,1,1],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","SYCL" @@ -9910,10 +10540,12 @@ "SYCL0","ARGSORT","type=f32,ne=[1023,2,1,3],order=1","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[1024,2,1,3],order=1","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[1025,2,1,3],order=1","support","1","yes","SYCL" +"SYCL0","ARGSORT","type=f32,ne=[1025,256,1,1],order=1","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2047,2,1,3],order=1","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","SYCL" "SYCL0","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","SYCL" +"SYCL0","ARGSORT","type=f32,ne=[2048,512,1,1],order=1","support","1","yes","SYCL" "SYCL0","TOP_K","type=f32,ne=[1,1,1,1],k=1,ties=0","support","1","yes","SYCL" "SYCL0","TOP_K","type=f32,ne=[12,1,2,1],k=1,ties=0","support","1","yes","SYCL" "SYCL0","TOP_K","type=f32,ne=[2,1,1,1],k=1,ties=0","support","1","yes","SYCL" @@ -10284,40 +10916,43 @@ "SYCL0","ARANGE","type=f32,start=0.000000,stop=1048576.000000,step=1.000000","support","1","yes","SYCL" "SYCL0","TIMESTEP_EMBEDDING","type=f32,ne_a=[2,1,1,1],dim=320,max_period=10000","support","1","yes","SYCL" "SYCL0","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[127,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[128,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[128,128,4,4]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[255,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[256,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[511,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[512,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[1023,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[1024,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[2047,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[2048,5,4,3]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[242004,1,1,1]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[375960,1,1,1]","support","0","no","SYCL" -"SYCL0","CUMSUM","type=f32,ne=[20481,4,1,1]","support","0","no","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[127,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[128,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[128,128,4,4]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[255,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[256,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[511,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[512,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[1023,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[1024,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[2047,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[2048,5,4,3]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","SYCL" +"SYCL0","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","SYCL" "SYCL0","XIELU","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" +"SYCL0","XIELU","type=f16,ne=[10,5,4,3]","support","0","no","SYCL" +"SYCL0","XIELU","type=f32,ne=[512,16,1,1]","support","0","no","SYCL" +"SYCL0","XIELU","type=f16,ne=[512,16,1,1]","support","0","no","SYCL" "SYCL0","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","SYCL" "SYCL0","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","SYCL" "SYCL0","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","SYCL" "SYCL0","TRI","type=f32,ne=[10,10,4,3],tri_type=0","support","1","yes","SYCL" -"SYCL0","FILL","type=f32,ne=[10,10,4,3],c=0.000000","support","0","no","SYCL" -"SYCL0","FILL","type=f32,ne=[303,207,11,3],c=2.000000","support","0","no","SYCL" -"SYCL0","FILL","type=f32,ne=[800,600,4,4],c=-152.000000","support","0","no","SYCL" -"SYCL0","FILL","type=f32,ne=[2048,512,2,2],c=3.500000","support","0","no","SYCL" -"SYCL0","DIAG","type=f32,ne=[10,1,4,3]","support","0","no","SYCL" -"SYCL0","DIAG","type=f32,ne=[79,1,19,13]","support","0","no","SYCL" -"SYCL0","DIAG","type=f32,ne=[256,1,8,16]","support","0","no","SYCL" -"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[10,10,4,3],ne_rhs=[3,10,4,3]","support","0","no","SYCL" -"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[11,11,1,1],ne_rhs=[5,11,1,1]","support","0","no","SYCL" -"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[17,17,2,4],ne_rhs=[9,17,2,4]","support","0","no","SYCL" -"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","0","no","SYCL" -"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","0","no","SYCL" -"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","0","no","SYCL" -"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","0","no","SYCL" +"SYCL0","FILL","type=f32,ne=[10,10,4,3],c=0.000000","support","1","yes","SYCL" +"SYCL0","FILL","type=f32,ne=[303,207,11,3],c=2.000000","support","1","yes","SYCL" +"SYCL0","FILL","type=f32,ne=[800,600,4,4],c=-152.000000","support","1","yes","SYCL" +"SYCL0","FILL","type=f32,ne=[2048,512,2,2],c=3.500000","support","1","yes","SYCL" +"SYCL0","DIAG","type=f32,ne=[10,1,4,3]","support","1","yes","SYCL" +"SYCL0","DIAG","type=f32,ne=[79,1,19,13]","support","1","yes","SYCL" +"SYCL0","DIAG","type=f32,ne=[256,1,8,16]","support","1","yes","SYCL" +"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[10,10,4,3],ne_rhs=[3,10,4,3]","support","1","yes","SYCL" +"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[11,11,1,1],ne_rhs=[5,11,1,1]","support","1","yes","SYCL" +"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[17,17,2,4],ne_rhs=[9,17,2,4]","support","1","yes","SYCL" +"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","1","yes","SYCL" +"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","1","yes","SYCL" +"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","1","yes","SYCL" +"SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","1","yes","SYCL" "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[79,79,5,3],ne_rhs=[417,79,5,3]","support","0","no","SYCL" "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,2],ne_rhs=[32,128,4,2]","support","0","no","SYCL" "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[80,80,2,8]","support","0","no","SYCL" @@ -10339,3518 +10974,5110 @@ "SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=0,circular=0","support","1","yes","SYCL" "SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=0,circular=1","support","0","no","SYCL" "SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=0,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=1,circular=0","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=1,circular=0","support","0","no","SYCL" +"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=1,circular=0","support","1","yes","SYCL" +"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=1,circular=0","support","1","yes","SYCL" "SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=1,circular=1","support","0","no","SYCL" "SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=1,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=0","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=0","support","0","no","SYCL" +"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=0","support","1","yes","SYCL" +"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=0","support","1","yes","SYCL" "SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=1","support","0","no","SYCL" "SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=1","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[12,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","SYCL" 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+"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=64,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q1_0,type_V=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=128,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q4_0,type_V=q1_0,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=64,nh=4,nr23=[1,1],kv=64,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q1_0,type_V=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" @@ -13875,3 +16102,13 @@ "SYCL0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","1","yes","SYCL" "SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","SYCL" "SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=64,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=127,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=256,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=65,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=100,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=200,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=127,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=64,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=33,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=100,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","SYCL" diff --git a/docs/ops/WebGPU.csv b/docs/ops/WebGPU.csv index 681434bc74..95042e72d9 100644 --- a/docs/ops/WebGPU.csv +++ b/docs/ops/WebGPU.csv @@ -334,14 +334,14 @@ "WebGPU: WebGPU","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","WebGPU" "WebGPU: WebGPU","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","WebGPU" "WebGPU: WebGPU","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","WebGPU" @@ -5587,437 +5587,437 @@ "WebGPU: WebGPU","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","WebGPU" "WebGPU: WebGPU","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","WebGPU" "WebGPU: WebGPU","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU" -"WebGPU: 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WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=10.000000,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=10.000000","support","0","no","WebGPU" "WebGPU: WebGPU","L2_NORM","type=f32,ne=[64,5,4,3],eps=10.000000,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","L2_NORM","type=f32,ne=[64,5,4,3],eps=10.000000,v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=10.000000","support","0","no","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=10.000000","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=10.000000,inplace=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=10.000000","support","0","no","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=10.000000","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=10.000000,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=10.000000","support","0","no","WebGPU" "WebGPU: WebGPU","L2_NORM","type=f32,ne=[1025,5,4,3],eps=10.000000,v=0","support","1","yes","WebGPU" @@ -6068,9 +6068,10 @@ "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","1","yes","WebGPU" -"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","WebGPU" -"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","WebGPU" +"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4,xbc_overlap=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4,xbc_overlap=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4,xbc_overlap=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=128,head_dim=128,n_head=4,n_group=4,n_seq_tokens=16,n_seqs=2,xbc_overlap=1","support","1","yes","WebGPU" "WebGPU: WebGPU","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","0","no","WebGPU" "WebGPU: WebGPU","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","0","no","WebGPU" "WebGPU: WebGPU","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","0","no","WebGPU" @@ -6155,24 +6156,24 @@ "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: 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WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" @@ -6602,37 +6603,37 @@ "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" -"WebGPU: 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WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU" @@ -7044,8 +7045,8 @@ "WebGPU: WebGPU","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU" -"WebGPU: 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WebGPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|antialias","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear|antialias","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|align_corners","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear|align_corners","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear|align_corners","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic|align_corners","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","1","yes","WebGPU" +"WebGPU: WebGPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","1","yes","WebGPU" @@ -10973,4966 +10974,4974 @@ "WebGPU: WebGPU","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=0","support","1","yes","WebGPU" "WebGPU: WebGPU","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=2,circular=1","support","1","yes","WebGPU" "WebGPU: WebGPU","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,tfrm=2,circular=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: 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WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=f16,type_V=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=f16,type_V=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q8_0,type_V=q4_0,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q4_0,type_V=f16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=96,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q4_0,type_V=q8_0,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=96,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=f16,type_V=f32,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=96,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q1_0,type_V=q1_0,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=64,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q1_0,type_V=q4_0,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=128,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q4_0,type_V=q1_0,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=128,hsv=64,nh=4,nr23=[1,1],kv=64,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q1_0,type_V=f16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" diff --git a/docs/speculative.md b/docs/speculative.md index 29da332875..fb6ef03067 100644 --- a/docs/speculative.md +++ b/docs/speculative.md @@ -33,18 +33,18 @@ An example to use this approach can be the rewriting of source code by a LLM. This implementation looks for the last n-gram in history that matches the current n-gram and creates a draft using the m tokens following the matched n-gram. It is the simplest self-speculative approach with minimal overhead. ``` -llama-server [...] --spec-type ngram-simple --draft-max 64 +llama-server [...] --spec-type ngram-simple --spec-draft-n-max 64 ``` #### n-gram Map Key (`ngram-map-k`) -This implementation looks for the current n-gram of size n (called the _key_) in the token history. If the key n-gram is followed by the same m tokens (called the _mgram_) multiple times, it creates a draft using these m tokens. This approach requires a minimum number of occurrences (argument `--spec-ngram-min-hits`, default is 1) before generating drafts. +This implementation looks for the current n-gram of size n (called the _key_) in the token history. If the key n-gram is followed by the same m tokens (called the _mgram_) multiple times, it creates a draft using these m tokens. This approach requires a minimum number of occurrences (argument `--spec-ngram-map-k-min-hits`, default is 1) before generating drafts. The number of accepted tokens is stored for each used n-gram. **Example:** ``` -llama-server [...] --spec-type ngram-map-k --draft-max 64 +llama-server [...] --spec-type ngram-map-k --spec-draft-n-max 64 ``` #### n-gram Map Key-4-Values (`ngram-map-k4v`) @@ -55,7 +55,7 @@ The number of accepted tokens is stored for each used n-gram. **Example:** Server options to be used if there are a lot of longer repetitions. ``` -llama-server [...] --spec-type ngram-map-k4v --spec-ngram-size-n 8 --spec-ngram-size-m 8 --spec-ngram-min-hits 2 --draft-max 64 +llama-server [...] --spec-type ngram-map-k4v --spec-ngram-map-k4v-size-n 8 --spec-ngram-map-k4v-size-m 8 --spec-ngram-map-k4v-min-hits 2 --spec-draft-n-max 64 ``` ### n-gram Mod (`ngram-mod`) @@ -80,9 +80,9 @@ Currently, a single hash pool is shared across all server slots, so different re # notes: # - small `n` are not recommended # - MoEs require long drafts -# - dense models: can reduce `--draft-min` and `--draft-max` +# - dense models: can reduce `--spec-ngram-mod-n-min` and `--spec-ngram-mod-n-max` -llama-server ... --spec-type ngram-mod --spec-ngram-size-n 24 --draft-min 48 --draft-max 64 +llama-server ... --spec-type ngram-mod --spec-ngram-mod-n-match 24 --spec-ngram-mod-n-min 48 --spec-ngram-mod-n-max 64 ``` Applications: @@ -105,21 +105,90 @@ Example Video: If a draft model is combined with a draftless decoding the draftless decoding has higher precedence. +### General Speculative Parameters + ``` ---draft, --draft-n, --draft-max N number of tokens to draft for speculative decoding (default: 16) - (env: LLAMA_ARG_DRAFT_MAX) ---draft-min, --draft-n-min N minimum number of draft tokens to use for speculative decoding - (default: 0) - (env: LLAMA_ARG_DRAFT_MIN) -[...] --spec-type [none|ngram-cache|ngram-simple|ngram-map-k|ngram-map-k4v|ngram-mod] type of speculative decoding to use when no draft model is provided (default: none) ---spec-ngram-size-n N ngram size N for ngram-simple/ngram-map speculative decoding, length - of lookup n-gram (default: 12) ---spec-ngram-size-m N ngram size M for ngram-simple/ngram-map speculative decoding, length - of draft m-gram (default: 48) ---spec-ngram-min-hits N minimum hits for ngram-map speculative decoding (default: 1) + (env: LLAMA_ARG_SPEC_TYPE) +--spec-default use default speculative decoding +``` + +### Draft Model Parameters + +``` +--spec-draft-model, -md, --model-draft FNAME + draft model for speculative decoding (default: unused) + (env: LLAMA_ARG_SPEC_DRAFT_MODEL) +--spec-draft-hf, -hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant] + HuggingFace repository for the draft model +--spec-draft-n-max N + number of tokens to draft for speculative decoding (default: 16) + (env: LLAMA_ARG_SPEC_DRAFT_N_MAX) +--spec-draft-n-min N + minimum number of draft tokens to use for speculative decoding (default: 0) + (env: LLAMA_ARG_SPEC_DRAFT_N_MIN) +--spec-draft-p-split, --draft-p-split P + speculative decoding split probability (default: 0.10) + (env: LLAMA_ARG_SPEC_DRAFT_P_SPLIT) +--spec-draft-p-min, --draft-p-min P + minimum speculative decoding probability (greedy) (default: 0.75) + (env: LLAMA_ARG_SPEC_DRAFT_P_MIN) +--spec-draft-ctx-size, -cd, --ctx-size-draft N + size of the prompt context for the draft model (default: 0, 0 = loaded from model) + (env: LLAMA_ARG_SPEC_DRAFT_CTX_SIZE) +--spec-draft-ngl, -ngld, --gpu-layers-draft, --n-gpu-layers-draft N + max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto) + (env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) +--spec-draft-device, -devd, --device-draft <dev1,dev2,..> + comma-separated list of devices to use for offloading the draft model +--spec-draft-replace, --spec-replace TARGET DRAFT + translate the string in TARGET into DRAFT if the draft model and main model are not compatible +``` + +### n-gram Mod Parameters + +``` +--spec-ngram-mod-n-match N + ngram-mod lookup length (default: 24) +--spec-ngram-mod-n-min N + minimum number of ngram tokens to use for ngram-based speculative decoding (default: 48) +--spec-ngram-mod-n-max N + maximum number of ngram tokens to use for ngram-based speculative decoding (default: 64) +``` + +### n-gram Simple Parameters + +``` +--spec-ngram-simple-size-n N + ngram size N for ngram-simple speculative decoding, length of lookup n-gram (default: 12) +--spec-ngram-simple-size-m N + ngram size M for ngram-simple speculative decoding, length of draft m-gram (default: 48) +--spec-ngram-simple-min-hits N + minimum hits for ngram-simple speculative decoding (default: 1) +``` + +### n-gram Map Key Parameters + +``` +--spec-ngram-map-k-size-n N + ngram size N for ngram-map-k speculative decoding, length of lookup n-gram (default: 12) +--spec-ngram-map-k-size-m N + ngram size M for ngram-map-k speculative decoding, length of draft m-gram (default: 48) +--spec-ngram-map-k-min-hits N + minimum hits for ngram-map-k speculative decoding (default: 1) +``` + +### n-gram Map Key-4-Values Parameters + +``` +--spec-ngram-map-k4v-size-n N + ngram size N for ngram-map-k4v speculative decoding, length of lookup n-gram (default: 12) +--spec-ngram-map-k4v-size-m N + ngram size M for ngram-map-k4v speculative decoding, length of draft m-gram (default: 48) +--spec-ngram-map-k4v-min-hits N + minimum hits for ngram-map-k4v speculative decoding (default: 1) ``` ### `--spec-type TYPE` @@ -140,21 +209,40 @@ Specifies a type of speculative decoding without draft model. ./llama-server [...] --spec-type ngram-simple ``` -### `--spec-ngram-size-n N` +### `--spec-ngram-*-size-n N` Sets the size N of the lookup n-gram for n-gram map based speculative decoding. The n-gram size N determines how many tokens in a row to look back when searching for matching patterns. -### `--spec-ngram-size-m M` +Each n-gram implementation has its own parameter: + +- `--spec-ngram-simple-size-n` for `ngram-simple` +- `--spec-ngram-map-k-size-n` for `ngram-map-k` +- `--spec-ngram-map-k4v-size-n` for `ngram-map-k4v` +- `--spec-ngram-mod-n-match` for `ngram-mod` + +### `--spec-ngram-*-size-m M` Sets the size M of the draft m-gram for n-gram map based speculative decoding. The m-gram size determines how many tokens to draft when a match is found. Larger values can provide more speedup but may reduce acceptance rate. -### `--spec-ngram-min-hits H` +Each n-gram implementation has its own parameter: + +- `--spec-ngram-simple-size-m` for `ngram-simple` +- `--spec-ngram-map-k-size-m` for `ngram-map-k` +- `--spec-ngram-map-k4v-size-m` for `ngram-map-k4v` + +### `--spec-ngram-*-min-hits H` This option defines how often a key has to appear in the token history to be used as a draft (default is 1). +Each n-gram implementation has its own parameter: + +- `--spec-ngram-simple-min-hits` for `ngram-simple` +- `--spec-ngram-map-k-min-hits` for `ngram-map-k` +- `--spec-ngram-map-k4v-min-hits` for `ngram-map-k4v` + ## Statistics Each speculative decoding implementation prints statistics. @@ -180,4 +268,3 @@ statistics ngram_map_k: #calls(b,g,a) = 6 1690 26, #gen drafts = 26, #acc drafts - `#gen tokens`: number of tokens generated by this implementation (including rejected tokens) - `#acc tokens`: number of tokens accepted by the main model - `dur(b,g,a): durations of begin (new prompt), generation and accumulation (process acceptance). - diff --git a/examples/diffusion/CMakeLists.txt b/examples/diffusion/CMakeLists.txt index 70228d4079..42a84b2dfe 100644 --- a/examples/diffusion/CMakeLists.txt +++ b/examples/diffusion/CMakeLists.txt @@ -1,5 +1,10 @@ +set(TARGET llama-diffusion) +add_library(${TARGET} STATIC diffusion.cpp diffusion.h) +target_link_libraries(${TARGET} PUBLIC llama llama-common ${CMAKE_THREAD_LIBS_INIT}) +target_compile_features(${TARGET} PUBLIC cxx_std_17) + set(TARGET llama-diffusion-cli) add_executable(${TARGET} diffusion-cli.cpp) install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE llama llama-common ${CMAKE_THREAD_LIBS_INIT}) +target_link_libraries(${TARGET} PRIVATE llama-diffusion llama llama-common ${CMAKE_THREAD_LIBS_INIT}) target_compile_features(${TARGET} PRIVATE cxx_std_17) diff --git a/examples/diffusion/README.md b/examples/diffusion/README.md index b394200214..6d2fffd64e 100644 --- a/examples/diffusion/README.md +++ b/examples/diffusion/README.md @@ -12,11 +12,11 @@ The diffusion CLI supports various parameters to control the generation process: ### Core Diffusion Parameters - `--diffusion-steps`: Number of diffusion steps (default: 256) - `--diffusion-algorithm`: Algorithm for token selection - - `0`: ORIGIN - Token will be generated in a purely random order from https://arxiv.org/abs/2107.03006. - - `1`: ENTROPY_BASED - Entropy-based selection - - `2`: MARGIN_BASED - Margin-based selection - - `3`: RANDOM - Random selection - - `4`: CONFIDENCE_BASED - Confidence-based selection (default) + - `0`: DIFFUSION_ALGORITHM_ORIGIN - Token will be generated in a purely random order from https://arxiv.org/abs/2107.03006. + - `1`: DIFFUSION_ALGORITHM_ENTROPY_BASED - Entropy-based selection + - `2`: DIFFUSION_ALGORITHM_MARGIN_BASED - Margin-based selection + - `3`: DIFFUSION_ALGORITHM_RANDOM - Random selection + - `4`: DIFFUSION_ALGORITHM_CONFIDENCE_BASED - Confidence-based selection (default) - More documentation here https://github.com/DreamLM/Dream - `--diffusion-visual`: Enable live visualization during generation diff --git a/examples/diffusion/diffusion-cli.cpp b/examples/diffusion/diffusion-cli.cpp index 403b9b4744..86ebbf88c9 100644 --- a/examples/diffusion/diffusion-cli.cpp +++ b/examples/diffusion/diffusion-cli.cpp @@ -1,127 +1,23 @@ #include "arg.h" #include "chat.h" #include "common.h" +#include "diffusion.h" #include "llama.h" #include "log.h" #include <limits.h> -#include <algorithm> #include <clocale> -#include <cmath> #include <cstring> -#include <limits> -#include <random> #include <string> #include <vector> -enum diffusion_algorithm { ORIGIN = 0, ENTROPY_BASED = 1, MARGIN_BASED = 2, RANDOM = 3, CONFIDENCE_BASED = 4 }; - -// Unified transfer scheduling methods -enum transfer_schedule { - TIMESTEP_BASED = 0, // Dream-style: (1.0 - s/t) * remaining - BLOCK_BASED = 1, // LLaDA-style: process in blocks with get_num_transfer_tokens -}; - -typedef bool (*diffusion_step_callback_t)(int32_t step, - int32_t total_steps, - const llama_token * tokens, - int32_t n_tokens, - void * user_data); - -struct diffusion_params { - int32_t steps = 0; - float temperature = 0; - llama_token mask_token_id = LLAMA_TOKEN_NULL; - diffusion_step_callback_t step_callback = nullptr; - void * step_callback_user_data = nullptr; - int32_t seed = 0; - bool visual_mode = false; - bool shift_logits = false; // Shift logits by -1 after decode - - float top_p = 0.; - int32_t top_k = 0.; - - diffusion_algorithm algorithm = CONFIDENCE_BASED; - transfer_schedule schedule = TIMESTEP_BASED; - - float cfg_scale = 0.; // Config scale for classifier-free guidance - float eps = 0.; // Timestep scheduling - int32_t block_length = 0; // Block size (for block scheduling) - float alg_temp = 0; // algorithm temperature (0.0 = deterministic) - bool add_gumbel_noise = false; // Add gumbel noise to the logits if temp > 0.0 - - int32_t max_length = 0; // Maximum sequence length -}; - struct callback_data { diffusion_params * diff_params; const llama_vocab * vocab; int32_t n_input; }; -static float calculate_confidence(const llama_token_data_array & cur_p, - diffusion_algorithm algorithm, - std::mt19937 & rng) { - switch (algorithm) { - case CONFIDENCE_BASED: - return cur_p.data[cur_p.selected].p; // Selected token probability - - case ENTROPY_BASED: - { - float entropy = 0.0f; - const float epsilon = 1e-10f; - for (size_t i = 0; i < cur_p.size; i++) { - float prob = cur_p.data[i].p; - entropy += prob * logf(prob + epsilon); - } - return -entropy; // Higher entropy = lower confidence - } - - case MARGIN_BASED: - return (cur_p.size > 1) ? cur_p.data[0].p - cur_p.data[1].p : cur_p.data[0].p; - - case RANDOM: - { - std::uniform_real_distribution<float> uniform(0.0f, 1.0f); - return uniform(rng); // Random confidence - } - - case ORIGIN: - return cur_p.data[cur_p.selected].p; - - default: - return 0.0f; - } -} - -// Unified transfer count calculation function -static int32_t calculate_transfer_count(int32_t step, - int32_t total_steps, - int32_t remaining_masked, - transfer_schedule schedule, - float eps, - const std::vector<int32_t> & num_transfer_tokens = {}) { - switch (schedule) { - case TIMESTEP_BASED: - { - float t = 1.0f - (float) step / total_steps * (1.0f - eps); - float s = 1.0f - (float) (step + 1) / total_steps * (1.0f - eps); - float p_transfer = (step < total_steps - 1) ? (1.0f - s / t) : 1.0f; - return (int32_t) (remaining_masked * p_transfer); - } - - case BLOCK_BASED: - if (!num_transfer_tokens.empty() && step < (int32_t) num_transfer_tokens.size()) { - return num_transfer_tokens[step]; - } - return remaining_masked / (total_steps - step); // Fallback - - default: - return remaining_masked / (total_steps - step); - } -} - static bool diffusion_step_callback(int32_t step, int32_t total_steps, const llama_token * tokens, @@ -176,341 +72,6 @@ static bool diffusion_step_callback(int32_t step, return true; } -static void add_gumbel_noise(float * logits, int32_t n_vocab, float temperature, std::mt19937 & rng) { - if (temperature == 0.0f) { - return; - } - - std::uniform_real_distribution<double> uniform(0.0, 1.0); - for (int32_t i = 0; i < n_vocab; i++) { - double noise = uniform(rng); - // Prevent log(0) - noise = std::max(noise, 1e-20); - double gumbel_noise = std::pow(-std::log(noise), temperature); - logits[i] = std::exp(logits[i]) / gumbel_noise; - } -} - -static std::vector<int32_t> get_num_transfer_tokens(int32_t mask_count, int32_t steps) { - std::vector<int32_t> num_transfer_tokens(steps); - - int32_t base = mask_count / steps; - int32_t remainder = mask_count % steps; - - for (int32_t i = 0; i < steps; i++) { - num_transfer_tokens[i] = base + (i < remainder ? 1 : 0); - } - - return num_transfer_tokens; -} - -static void diffusion_generate(llama_context * ctx, - const llama_token * input_tokens, - llama_token * output_tokens, - int32_t n_input, - const diffusion_params & params, - int32_t & n_generated) { - n_generated = 0; - if (!ctx || !input_tokens || !output_tokens || n_input <= 0 || params.max_length <= n_input) { - return; - } - - const llama_model * model = llama_get_model(ctx); - - // Initialize with input and pad with mask tokens - std::copy(input_tokens, input_tokens + n_input, output_tokens); - std::fill(output_tokens + n_input, output_tokens + params.max_length, params.mask_token_id); - - std::mt19937 rng(params.seed); - - llama_set_causal_attn(ctx, false); - - int32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model)); - - std::vector<llama_token_data> candidates(n_vocab); - std::vector<llama_token_data> conf_candidates; - conf_candidates.reserve(params.max_length); - std::vector<int32_t> mask_positions; - mask_positions.reserve(params.max_length); - - // Setup sampler chain - struct llama_sampler * sampler = llama_sampler_chain_init(llama_sampler_chain_default_params()); - if (params.top_k > 0) { - llama_sampler_chain_add(sampler, llama_sampler_init_top_k(params.top_k)); - } - if (params.top_p < 1.0f) { - llama_sampler_chain_add(sampler, llama_sampler_init_top_p(params.top_p, 1)); - } - if (params.temperature > 0.0f) { - llama_sampler_chain_add(sampler, llama_sampler_init_temp(params.temperature)); - } - llama_sampler_chain_add(sampler, llama_sampler_init_dist(params.seed)); - - struct llama_sampler * dist_sampler = llama_sampler_init_dist(params.seed); - - llama_batch batch = llama_batch_init(params.max_length, 0, 1); - batch.n_tokens = params.max_length; - - // Pre-allocate buffers for CFG if needed - int32_t logits_size = n_vocab * params.max_length; - std::vector<float> cond_logits_buffer; - std::vector<llama_token> un_x_buffer; - if (params.cfg_scale > 0.0f) { - cond_logits_buffer.resize(logits_size); - un_x_buffer.resize(params.max_length); - } - - // For block-based processing - std::vector<int32_t> num_transfer_tokens; - int32_t num_blocks = 1; - int32_t steps_per_block = params.steps; - - if (params.schedule == BLOCK_BASED) { - GGML_ASSERT(params.max_length % params.block_length == 0); - num_blocks = params.max_length / params.block_length; - GGML_ASSERT(params.steps % num_blocks == 0); - steps_per_block = params.steps / num_blocks; - } - - std::vector<float> confidence(params.max_length); - - int64_t total_sampling_time = 0; - int64_t total_time = 0; - int64_t time_start = ggml_time_us(); - - for (int block_num = 0; block_num < num_blocks; block_num++) { - int32_t block_start = (params.schedule == BLOCK_BASED) ? n_input + block_num * params.block_length : 0; - int32_t block_end = (params.schedule == BLOCK_BASED) ? - std::min(n_input + (block_num + 1) * params.block_length, params.max_length) : - params.max_length; - - // Count masked tokens in current block for block-based processing - if (params.schedule == BLOCK_BASED) { - int32_t block_mask_count = 0; - for (int i = block_start; i < block_end; i++) { - if (output_tokens[i] == params.mask_token_id) { - block_mask_count++; - } - } - num_transfer_tokens = get_num_transfer_tokens(block_mask_count, steps_per_block); - } - - for (int32_t step = 0; step < steps_per_block; step++) { - int32_t global_step = block_num * steps_per_block + step; - - if (params.step_callback) { - if (!params.step_callback( - global_step, params.steps, output_tokens, params.max_length, params.step_callback_user_data)) { - break; - } - } - - // Setup batch - for (int32_t i = 0; i < params.max_length; i++) { - batch.token[i] = output_tokens[i]; - batch.pos[i] = i; - batch.n_seq_id[i] = 1; - batch.seq_id[i][0] = 0; - batch.logits[i] = 1; - } - - float * logits = nullptr; - - if (params.cfg_scale > 0.0f) { - int ret = llama_decode(ctx, batch); - if (ret != 0) { - LOG_ERR("Failed to generate conditional"); - break; - } - float * cond_logits_ptr = llama_get_logits(ctx); - std::memcpy(cond_logits_buffer.data(), cond_logits_ptr, logits_size * sizeof(float)); - - // Unconditional generation (mask input) - std::copy(output_tokens, output_tokens + params.max_length, un_x_buffer.begin()); - for (int32_t i = 0; i < n_input; i++) { - un_x_buffer[i] = params.mask_token_id; - } - - for (int32_t i = 0; i < params.max_length; i++) { - batch.token[i] = un_x_buffer[i]; - } - ret = llama_decode(ctx, batch); - if (ret != 0) { - LOG_ERR("Failed to generate unconditional"); - break; - } - float * uncond_logits = llama_get_logits(ctx); - - // Apply CFG - for (int32_t i = 0; i < logits_size; i++) { - cond_logits_buffer[i] = - uncond_logits[i] + (params.cfg_scale + 1.0f) * (cond_logits_buffer[i] - uncond_logits[i]); - } - logits = cond_logits_buffer.data(); - } else { - int ret = llama_decode(ctx, batch); - if (ret != 0) { - LOG_ERR("%s: failed to decode at step %d, ret = %d\n", __func__, global_step, ret); - break; - } - logits = llama_get_logits(ctx); - } - - if (!logits) { - LOG_ERR("%s: failed to get logits at step %d\n", __func__, global_step); - break; - } - - auto get_logits_for_pos = [&](int32_t pos) -> const float * { - if (params.shift_logits) { - return pos == 0 ? logits : logits + (pos - 1) * n_vocab; - } - return logits + (pos) *n_vocab; - }; - - int64_t time_start_sampling = ggml_time_us(); - - mask_positions.clear(); - for (int32_t i = 0; i < params.max_length; i++) { - if (output_tokens[i] == params.mask_token_id) { - // For block-based, only consider current block - if (params.schedule != BLOCK_BASED || (i >= block_start && i < block_end)) { - mask_positions.push_back(i); - } - } - } - - if (mask_positions.empty()) { - break; - } - - if (params.add_gumbel_noise && params.temperature > 0.0f) { - add_gumbel_noise(logits, n_vocab, params.temperature, rng); - } - - if (params.algorithm == ORIGIN) { - int32_t transfer_count = calculate_transfer_count( - step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens); - float p_transfer = (float) transfer_count / mask_positions.size(); - - for (int32_t pos : mask_positions) { - if (std::uniform_real_distribution<float>(0.0f, 1.0f)(rng) < p_transfer) { - const float * pos_logits = get_logits_for_pos(pos); - for (int32_t token_id = 0; token_id < n_vocab; token_id++) { - candidates[token_id].id = token_id; - candidates[token_id].logit = pos_logits[token_id]; - candidates[token_id].p = 0.0f; - } - - llama_token_data_array cur_p = { - candidates.data(), - (size_t) n_vocab, - -1, - false, - }; - - llama_sampler_apply(sampler, &cur_p); - output_tokens[pos] = cur_p.data[cur_p.selected].id; - } - } - } else { - std::vector<std::pair<float, int32_t>> confidences; - std::vector<llama_token> sampled_tokens(mask_positions.size()); - - for (size_t i = 0; i < mask_positions.size(); i++) { - int32_t pos = mask_positions[i]; - const float * pos_logits = get_logits_for_pos(pos); - - for (int32_t token_id = 0; token_id < n_vocab; token_id++) { - candidates[token_id].logit = pos_logits[token_id]; - candidates[token_id].p = 0.0f; - candidates[token_id].id = token_id; - } - - llama_token_data_array cur_p = { - candidates.data(), - candidates.size(), - -1, - false, - }; - - llama_sampler_apply(sampler, &cur_p); - llama_token sampled_token = cur_p.data[cur_p.selected].id; - - float conf = calculate_confidence(cur_p, params.algorithm, rng); - - sampled_tokens[i] = sampled_token; - confidences.emplace_back(conf, i); - } - - int32_t transfer_count = calculate_transfer_count( - step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens); - - if (transfer_count > 0) { - if (params.alg_temp == 0.0f) { - std::partial_sort(confidences.begin(), - confidences.begin() + std::min(transfer_count, (int32_t) confidences.size()), - confidences.end(), - [](const std::pair<float, int32_t> & a, const std::pair<float, int32_t> & b) { - if (a.first != b.first) { - return a.first > b.first; - } - return a.second < b.second; - }); - - for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) { - int32_t mask_idx = confidences[i].second; - int32_t pos = mask_positions[mask_idx]; - output_tokens[pos] = sampled_tokens[mask_idx]; - } - } else { - conf_candidates.clear(); - for (size_t i = 0; i < confidences.size(); i++) { - float conf_logit = confidences[i].first / params.alg_temp; - conf_candidates.emplace_back(llama_token_data{ (int32_t) i, conf_logit, 0.0f }); - } - - llama_token_data_array conf_array = { - conf_candidates.data(), - conf_candidates.size(), - -1, - false, - }; - - for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) { - llama_sampler_apply(dist_sampler, &conf_array); - int32_t selected_idx = conf_array.selected; - int32_t mask_idx = selected_idx; - int32_t pos = mask_positions[mask_idx]; - output_tokens[pos] = sampled_tokens[mask_idx]; - - conf_candidates[selected_idx].p = 0.0f; - conf_array.selected = -1; - } - } - } - } - - int64_t time_end_sampling = ggml_time_us(); - total_sampling_time += time_end_sampling - time_start_sampling; - } - } - - int64_t time_end = ggml_time_us(); - total_time += time_end - time_start; - - LOG_INF("\ntotal time: %0.2fms, time per step: %0.2fms, sampling time per step: %0.2fms\n", - total_time / 1000.0, - total_time / 1000.0 / params.steps, - total_sampling_time / 1000.0 / params.steps); - - llama_batch_free(batch); - llama_sampler_free(sampler); - llama_sampler_free(dist_sampler); - - n_generated = params.max_length; -} - static std::string format_input_text(const std::string & prompt, const std::string & system_prompt, bool use_chat_template, llama_model * model) { if (!use_chat_template) { return prompt; @@ -631,10 +192,10 @@ int main(int argc, char ** argv) { GGML_ASSERT((params.diffusion.eps == 0) ^ (params.diffusion.block_length == 0)); if (params.diffusion.eps) { - diff_params.schedule = TIMESTEP_BASED; + diff_params.schedule = DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED; diff_params.eps = params.diffusion.eps; } else if (params.diffusion.block_length) { - diff_params.schedule = BLOCK_BASED; + diff_params.schedule = DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED; diff_params.block_length = params.diffusion.block_length; } @@ -653,8 +214,17 @@ int main(int argc, char ** argv) { callback_data cb_data = { &diff_params, vocab, n_input }; diff_params.step_callback_user_data = &cb_data; - const char * alg_names[] = { "ORIGIN", "ENTROPY_BASED", "MARGIN_BASED", "RANDOM", "CONFIDENCE_BASED" }; - const char * sched_names[] = { "TIMESTEP_BASED", "BLOCK_BASED" }; + const char * alg_names[] = { + "DIFFUSION_ALGORITHM_ORIGIN", + "DIFFUSION_ALGORITHM_ENTROPY_BASED", + "DIFFUSION_ALGORITHM_MARGIN_BASED", + "DIFFUSION_ALGORITHM_RANDOM", + "DIFFUSION_ALGORITHM_CONFIDENCE_BASED", + }; + const char * sched_names[] = { + "DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED", + "DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED", + }; const char * alg_name = (diff_params.algorithm >= 0 && diff_params.algorithm <= 4) ? alg_names[diff_params.algorithm] : "UNKNOWN"; const char * sched_name = @@ -666,11 +236,11 @@ int main(int argc, char ** argv) { LOG_INF("diffusion_params: - %-25s enum = %d (%s)\n", "algorithm", diff_params.algorithm, alg_name); LOG_INF("diffusion_params: - %-25s enum = %d (%s)\n", "schedule", diff_params.schedule, sched_name); LOG_INF("diffusion_params: - %-25s f32 = %.3f\n", "temperature", diff_params.temperature); - if (diff_params.schedule == TIMESTEP_BASED) { + if (diff_params.schedule == DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED) { LOG_INF("diffusion_params: - %-25s f32 = %.6f\n", "eps", diff_params.eps); LOG_INF("diffusion_params: - %-25s f32 = %.3f\n", "alg_temp", diff_params.alg_temp); } - if (diff_params.schedule == BLOCK_BASED) { + if (diff_params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) { LOG_INF("diffusion_params: - %-25s u32 = %d\n", "block_length", diff_params.block_length); LOG_INF("diffusion_params: - %-25s f32 = %.3f\n", "cfg_scale", diff_params.cfg_scale); } diff --git a/examples/diffusion/diffusion.cpp b/examples/diffusion/diffusion.cpp new file mode 100644 index 0000000000..97d6b69449 --- /dev/null +++ b/examples/diffusion/diffusion.cpp @@ -0,0 +1,408 @@ +#include "diffusion.h" + +#include "log.h" + +#include <algorithm> +#include <cstddef> +#include <cmath> +#include <cstring> +#include <random> +#include <utility> +#include <vector> + +static float calculate_confidence(const llama_token_data_array & cur_p, + diffusion_algorithm algorithm, + std::mt19937 & rng) { + switch (algorithm) { + case DIFFUSION_ALGORITHM_CONFIDENCE_BASED: + return cur_p.data[cur_p.selected].p; // Selected token probability + + case DIFFUSION_ALGORITHM_ENTROPY_BASED: + { + float entropy = 0.0f; + const float epsilon = 1e-10f; + for (size_t i = 0; i < cur_p.size; i++) { + float prob = cur_p.data[i].p; + entropy += prob * logf(prob + epsilon); + } + return -entropy; // Higher entropy = lower confidence + } + + case DIFFUSION_ALGORITHM_MARGIN_BASED: + return (cur_p.size > 1) ? cur_p.data[0].p - cur_p.data[1].p : cur_p.data[0].p; + + case DIFFUSION_ALGORITHM_RANDOM: + { + std::uniform_real_distribution<float> uniform(0.0f, 1.0f); + return uniform(rng); // Random confidence + } + + case DIFFUSION_ALGORITHM_ORIGIN: + return cur_p.data[cur_p.selected].p; + + default: + return 0.0f; + } +} + +// Unified transfer count calculation function +static int32_t calculate_transfer_count(int32_t step, + int32_t total_steps, + int32_t remaining_masked, + diffusion_transfer_schedule schedule, + float eps, + const std::vector<int32_t> & num_transfer_tokens = {}) { + switch (schedule) { + case DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED: + { + float t = 1.0f - (float) step / total_steps * (1.0f - eps); + float s = 1.0f - (float) (step + 1) / total_steps * (1.0f - eps); + float p_transfer = (step < total_steps - 1) ? (1.0f - s / t) : 1.0f; + return (int32_t) (remaining_masked * p_transfer); + } + + case DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED: + if (!num_transfer_tokens.empty() && step < (int32_t) num_transfer_tokens.size()) { + return num_transfer_tokens[step]; + } + return remaining_masked / (total_steps - step); // Fallback + + default: + return remaining_masked / (total_steps - step); + } +} + +static void add_gumbel_noise(float * logits, int32_t n_vocab, float temperature, std::mt19937 & rng) { + if (temperature == 0.0f) { + return; + } + + std::uniform_real_distribution<double> uniform(0.0, 1.0); + for (int32_t i = 0; i < n_vocab; i++) { + double noise = uniform(rng); + // Prevent log(0) + noise = std::max(noise, 1e-20); + double gumbel_noise = std::pow(-std::log(noise), temperature); + logits[i] = std::exp(logits[i]) / gumbel_noise; + } +} + +static std::vector<int32_t> get_num_transfer_tokens(int32_t mask_count, int32_t steps) { + std::vector<int32_t> num_transfer_tokens(steps); + + int32_t base = mask_count / steps; + int32_t remainder = mask_count % steps; + + for (int32_t i = 0; i < steps; i++) { + num_transfer_tokens[i] = base + (i < remainder ? 1 : 0); + } + + return num_transfer_tokens; +} + +void diffusion_generate(llama_context * ctx, + const llama_token * input_tokens, + llama_token * output_tokens, + int32_t n_input, + const diffusion_params & params, + int32_t & n_generated) { + n_generated = 0; + if (!ctx || !input_tokens || !output_tokens || n_input <= 0 || params.max_length <= n_input) { + return; + } + + const llama_model * model = llama_get_model(ctx); + + // Initialize with input and pad with mask tokens + std::copy(input_tokens, input_tokens + n_input, output_tokens); + std::fill(output_tokens + n_input, output_tokens + params.max_length, params.mask_token_id); + + std::mt19937 rng(params.seed); + + llama_set_causal_attn(ctx, false); + + int32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model)); + + std::vector<llama_token_data> candidates(n_vocab); + std::vector<llama_token_data> conf_candidates; + conf_candidates.reserve(params.max_length); + std::vector<int32_t> mask_positions; + mask_positions.reserve(params.max_length); + + // Setup sampler chain + struct llama_sampler * sampler = llama_sampler_chain_init(llama_sampler_chain_default_params()); + if (params.top_k > 0) { + llama_sampler_chain_add(sampler, llama_sampler_init_top_k(params.top_k)); + } + if (params.top_p < 1.0f) { + llama_sampler_chain_add(sampler, llama_sampler_init_top_p(params.top_p, 1)); + } + if (params.temperature > 0.0f) { + llama_sampler_chain_add(sampler, llama_sampler_init_temp(params.temperature)); + } + llama_sampler_chain_add(sampler, llama_sampler_init_dist(params.seed)); + + struct llama_sampler * dist_sampler = llama_sampler_init_dist(params.seed); + + llama_batch batch = llama_batch_init(params.max_length, 0, 1); + batch.n_tokens = params.max_length; + + // Pre-allocate buffers for CFG if needed + int32_t logits_size = n_vocab * params.max_length; + std::vector<float> cond_logits_buffer; + std::vector<llama_token> un_x_buffer; + if (params.cfg_scale > 0.0f) { + cond_logits_buffer.resize(logits_size); + un_x_buffer.resize(params.max_length); + } + + // For block-based processing + std::vector<int32_t> num_transfer_tokens; + int32_t num_blocks = 1; + int32_t steps_per_block = params.steps; + + if (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) { + GGML_ASSERT(params.max_length % params.block_length == 0); + num_blocks = params.max_length / params.block_length; + GGML_ASSERT(params.steps % num_blocks == 0); + steps_per_block = params.steps / num_blocks; + } + + std::vector<float> confidence(params.max_length); + + int64_t total_sampling_time = 0; + int64_t total_time = 0; + int64_t time_start = ggml_time_us(); + + for (int block_num = 0; block_num < num_blocks; block_num++) { + int32_t block_start = (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) ? n_input + block_num * params.block_length : 0; + int32_t block_end = (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) ? + std::min(n_input + (block_num + 1) * params.block_length, params.max_length) : + params.max_length; + + // Count masked tokens in current block for block-based processing + if (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) { + int32_t block_mask_count = 0; + for (int i = block_start; i < block_end; i++) { + if (output_tokens[i] == params.mask_token_id) { + block_mask_count++; + } + } + num_transfer_tokens = get_num_transfer_tokens(block_mask_count, steps_per_block); + } + + for (int32_t step = 0; step < steps_per_block; step++) { + int32_t global_step = block_num * steps_per_block + step; + + if (params.step_callback) { + if (!params.step_callback( + global_step, params.steps, output_tokens, params.max_length, params.step_callback_user_data)) { + break; + } + } + + // Setup batch + for (int32_t i = 0; i < params.max_length; i++) { + batch.token[i] = output_tokens[i]; + batch.pos[i] = i; + batch.n_seq_id[i] = 1; + batch.seq_id[i][0] = 0; + batch.logits[i] = 1; + } + + float * logits = nullptr; + + if (params.cfg_scale > 0.0f) { + int ret = llama_decode(ctx, batch); + if (ret != 0) { + LOG_ERR("Failed to generate conditional"); + break; + } + float * cond_logits_ptr = llama_get_logits(ctx); + std::memcpy(cond_logits_buffer.data(), cond_logits_ptr, logits_size * sizeof(float)); + + // Unconditional generation (mask input) + std::copy(output_tokens, output_tokens + params.max_length, un_x_buffer.begin()); + for (int32_t i = 0; i < n_input; i++) { + un_x_buffer[i] = params.mask_token_id; + } + + for (int32_t i = 0; i < params.max_length; i++) { + batch.token[i] = un_x_buffer[i]; + } + ret = llama_decode(ctx, batch); + if (ret != 0) { + LOG_ERR("Failed to generate unconditional"); + break; + } + float * uncond_logits = llama_get_logits(ctx); + + // Apply CFG + for (int32_t i = 0; i < logits_size; i++) { + cond_logits_buffer[i] = + uncond_logits[i] + (params.cfg_scale + 1.0f) * (cond_logits_buffer[i] - uncond_logits[i]); + } + logits = cond_logits_buffer.data(); + } else { + int ret = llama_decode(ctx, batch); + if (ret != 0) { + LOG_ERR("%s: failed to decode at step %d, ret = %d\n", __func__, global_step, ret); + break; + } + logits = llama_get_logits(ctx); + } + + if (!logits) { + LOG_ERR("%s: failed to get logits at step %d\n", __func__, global_step); + break; + } + + auto get_logits_for_pos = [&](int32_t pos) -> const float * { + if (params.shift_logits) { + return pos == 0 ? logits : logits + (pos - 1) * n_vocab; + } + return logits + pos * n_vocab; + }; + + int64_t time_start_sampling = ggml_time_us(); + + mask_positions.clear(); + for (int32_t i = 0; i < params.max_length; i++) { + if (output_tokens[i] == params.mask_token_id) { + // For block-based, only consider current block + if (params.schedule != DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED || (i >= block_start && i < block_end)) { + mask_positions.push_back(i); + } + } + } + + if (mask_positions.empty()) { + break; + } + + if (params.add_gumbel_noise && params.temperature > 0.0f) { + add_gumbel_noise(logits, n_vocab, params.temperature, rng); + } + + if (params.algorithm == DIFFUSION_ALGORITHM_ORIGIN) { + int32_t transfer_count = calculate_transfer_count( + step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens); + float p_transfer = (float) transfer_count / mask_positions.size(); + + for (int32_t pos : mask_positions) { + if (std::uniform_real_distribution<float>(0.0f, 1.0f)(rng) < p_transfer) { + const float * pos_logits = get_logits_for_pos(pos); + for (int32_t token_id = 0; token_id < n_vocab; token_id++) { + candidates[token_id].id = token_id; + candidates[token_id].logit = pos_logits[token_id]; + candidates[token_id].p = 0.0f; + } + + llama_token_data_array cur_p = { + candidates.data(), + (size_t) n_vocab, + -1, + false, + }; + + llama_sampler_apply(sampler, &cur_p); + output_tokens[pos] = cur_p.data[cur_p.selected].id; + } + } + } else { + std::vector<std::pair<float, int32_t>> confidences; + std::vector<llama_token> sampled_tokens(mask_positions.size()); + + for (size_t i = 0; i < mask_positions.size(); i++) { + int32_t pos = mask_positions[i]; + const float * pos_logits = get_logits_for_pos(pos); + + for (int32_t token_id = 0; token_id < n_vocab; token_id++) { + candidates[token_id].logit = pos_logits[token_id]; + candidates[token_id].p = 0.0f; + candidates[token_id].id = token_id; + } + + llama_token_data_array cur_p = { + candidates.data(), + candidates.size(), + -1, + false, + }; + + llama_sampler_apply(sampler, &cur_p); + llama_token sampled_token = cur_p.data[cur_p.selected].id; + + float conf = calculate_confidence(cur_p, params.algorithm, rng); + + sampled_tokens[i] = sampled_token; + confidences.emplace_back(conf, i); + } + + int32_t transfer_count = calculate_transfer_count( + step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens); + + if (transfer_count > 0) { + if (params.alg_temp == 0.0f) { + std::partial_sort(confidences.begin(), + confidences.begin() + std::min(transfer_count, (int32_t) confidences.size()), + confidences.end(), + [](const std::pair<float, int32_t> & a, const std::pair<float, int32_t> & b) { + if (a.first != b.first) { + return a.first > b.first; + } + return a.second < b.second; + }); + + for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) { + int32_t mask_idx = confidences[i].second; + int32_t pos = mask_positions[mask_idx]; + output_tokens[pos] = sampled_tokens[mask_idx]; + } + } else { + conf_candidates.clear(); + for (size_t i = 0; i < confidences.size(); i++) { + float conf_logit = confidences[i].first / params.alg_temp; + conf_candidates.emplace_back(llama_token_data{ (int32_t) i, conf_logit, 0.0f }); + } + + llama_token_data_array conf_array = { + conf_candidates.data(), + conf_candidates.size(), + -1, + false, + }; + + for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) { + llama_sampler_apply(dist_sampler, &conf_array); + int32_t selected_idx = conf_array.selected; + int32_t mask_idx = selected_idx; + int32_t pos = mask_positions[mask_idx]; + output_tokens[pos] = sampled_tokens[mask_idx]; + + conf_candidates[selected_idx].p = 0.0f; + conf_array.selected = -1; + } + } + } + } + + int64_t time_end_sampling = ggml_time_us(); + total_sampling_time += time_end_sampling - time_start_sampling; + } + } + + int64_t time_end = ggml_time_us(); + total_time += time_end - time_start; + + LOG_INF("\ntotal time: %0.2fms, time per step: %0.2fms, sampling time per step: %0.2fms\n", + total_time / 1000.0, + total_time / 1000.0 / params.steps, + total_sampling_time / 1000.0 / params.steps); + + llama_batch_free(batch); + llama_sampler_free(sampler); + llama_sampler_free(dist_sampler); + + n_generated = params.max_length; +} diff --git a/examples/diffusion/diffusion.h b/examples/diffusion/diffusion.h new file mode 100644 index 0000000000..7831445224 --- /dev/null +++ b/examples/diffusion/diffusion.h @@ -0,0 +1,57 @@ +#pragma once + +#include "llama.h" + +#include <cstdint> + +enum diffusion_algorithm { + DIFFUSION_ALGORITHM_ORIGIN = 0, + DIFFUSION_ALGORITHM_ENTROPY_BASED = 1, + DIFFUSION_ALGORITHM_MARGIN_BASED = 2, + DIFFUSION_ALGORITHM_RANDOM = 3, + DIFFUSION_ALGORITHM_CONFIDENCE_BASED = 4, +}; + +// Unified transfer scheduling methods +enum diffusion_transfer_schedule { + DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED = 0, // Dream-style: (1.0 - s/t) * remaining + DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED = 1, // LLaDA-style: process in blocks with get_num_transfer_tokens +}; + +typedef bool (*diffusion_step_callback_t)(int32_t step, + int32_t total_steps, + const llama_token * tokens, + int32_t n_tokens, + void * user_data); + +struct diffusion_params { + int32_t steps = 0; + float temperature = 0; + llama_token mask_token_id = LLAMA_TOKEN_NULL; + diffusion_step_callback_t step_callback = nullptr; + void * step_callback_user_data = nullptr; + int32_t seed = 0; + bool visual_mode = false; + bool shift_logits = false; // Shift logits by -1 after decode + + float top_p = 0.; + int32_t top_k = 0.; + + diffusion_algorithm algorithm = DIFFUSION_ALGORITHM_CONFIDENCE_BASED; + diffusion_transfer_schedule schedule = DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED; + + float cfg_scale = 0.; // Config scale for classifier-free guidance + float eps = 0.; // Timestep scheduling + int32_t block_length = 0; // Block size (for block scheduling) + float alg_temp = 0; // algorithm temperature (0.0 = deterministic) + bool add_gumbel_noise = false; // Add gumbel noise to the logits if temp > 0.0 + + int32_t max_length = 0; // Maximum sequence length +}; + +void diffusion_generate(llama_context * ctx, + const llama_token * input_tokens, + llama_token * output_tokens, + int32_t n_input, + const diffusion_params & params, + int32_t & n_generated); diff --git a/examples/llama-eval/README.md b/examples/llama-eval/README.md new file mode 100644 index 0000000000..3c5c35f78f --- /dev/null +++ b/examples/llama-eval/README.md @@ -0,0 +1,26 @@ +# llama-eval + +Simple evaluation tool for llama.cpp with support for multiple datasets. + +For a full description, usage examples, and sample results, see: + +- [PR 21152](https://github.com/ggml-org/llama.cpp/pull/21152) + +## Quick start + +```bash +# Single server +python3 llama-eval.py \ + --server http://localhost:8033 \ + --model my-model \ + --dataset gsm8k --n_cases 100 \ + --grader-type regex --threads 32 + +# Multiple servers (comma-separated URLs and thread counts) +python3 llama-eval.py \ + --server http://server1:8033,http://server2:8033 \ + --server-name server1,server2 \ + --threads 16,16 \ + --dataset aime2025 --n_cases 240 \ + --grader-type regex +``` diff --git a/examples/llama-eval/llama-eval.py b/examples/llama-eval/llama-eval.py new file mode 100755 index 0000000000..a294827351 --- /dev/null +++ b/examples/llama-eval/llama-eval.py @@ -0,0 +1,1417 @@ +#!/usr/bin/env python3 + +import argparse +import json +import os +import re +import subprocess +import sys +import threading +import time +from abc import ABC, abstractmethod +from concurrent.futures import ThreadPoolExecutor, as_completed +from dataclasses import dataclass, asdict, field +from pathlib import Path +from queue import Queue +from typing import Dict, List, Optional, Any, Tuple +import requests +from tqdm import tqdm +import random +from math import sqrt + + +@dataclass +class ServerConfig: + url: str + threads: int + name: str = "" + +def wilson_interval(correct: int, total: int, z: float = 1.96) -> Tuple[float, float]: + """Wilson score confidence interval for a proportion.""" + if total == 0: + return (0.0, 1.0) + p = correct / total + z2 = z * z / total + center = (p + z2 / 2) / (1 + z2) + margin = z * sqrt((p * (1 - p) + z2 / 4) / total) / (1 + z2) + return (center - margin, center + margin) + +cache_dir = Path.home() / ".cache" / "huggingface" / "datasets" +cache_dir.mkdir(parents=True, exist_ok=True) +os.environ["HF_DATASETS_CACHE"] = str(cache_dir) +os.environ["HF_HUB_DISABLE_TELEMETRY"] = "1" + +GRADER_PATTERNS = { + "aime": r'\boxed{(\d+)}|\b(\d+)\b', + "aime2025": r'\boxed{(\d+)}|\b(\d+)\b', + "gsm8k": r'\b(\d+)\b', +} + +SAMPLE_ANSWERS = { + "aime": [ + "42", + "-123", + "999" + ], + "aime2025": [ + "42", + "-123", + "999" + ], + "gsm8k": [ + "42", + "-123", + "999" + ], + "gpqa": [ + "A", + "D", + "C" + ], +} + +TEMPLATE_REGISTRY = { + "aime": """Solve the following math problem step by step. Put your answer inside \\boxed{{}}. + +{question} + +Remember to put your answer inside \\boxed{{}}. +""", + "aime2025": """Solve the following math problem step by step. Put your answer inside \\boxed{{}}. + +{question} + +Remember to put your answer inside \\boxed{{}}. +""", + "gsm8k": """{question} +Please reason step by step, and put your final numeric answer within \\boxed{{}} without any extra characters. +""", + "gpqa": """Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D' (e.g. 'Answer: A'). + +{Question} + +A) {A} +B) {B} +C) {C} +D) {D} +""", +} + + +class BaseDataset(ABC): + questions: List[Dict] + + @abstractmethod + def get_question(self, index: int) -> Dict: + pass + + @abstractmethod + def get_question_text(self, question: Dict) -> str: + pass + + @abstractmethod + def get_answer(self, question: Dict) -> str: + pass + + @abstractmethod + def get_prompt(self, question: Dict) -> str: + pass + + def __len__(self) -> int: + return len(self.questions) + + +@dataclass +class TaskState: + task_id: str + prompt: str + expected: str + question_text: str = "" + response: Optional[str] = None + answer: Optional[str] = None + grader_log: Dict[str, Any] = field(default_factory=dict) + correct: bool = False + status: str = "pending" + tokens: Optional[int] = None + tps_gen: Optional[float] = None + t_gen_ms: Optional[float] = None + reasoning_content: Optional[str] = None + server_name: Optional[str] = None + + +class EvalState: + def __init__( + self, + dataset_type: str, + sampling_config: Dict[str, Any], + output_file: Path = Path("llama-eval-state.json"), + model_name: Optional[str] = None + ): + self.dataset_type = dataset_type + self.sampling_config = sampling_config + self.output_file = output_file + self.model_name = model_name + self.dataset: Optional[BaseDataset] = None + self.tasks: List[Tuple[int, str]] = [] + self.all_tasks: List[Tuple[int, str]] = [] + self.task_states: Dict[str, Any] = {} + self.total = 0 + self.correct = 0 + self.processed = 0 + self.total_time: float = 0.0 + self._lock = threading.Lock() + + def load_dataset(self, seed: int = 1234): + if self.dataset_type == "aime": + self.dataset = AimeDataset() + elif self.dataset_type == "aime2025": + self.dataset = Aime2025Dataset() + elif self.dataset_type == "gsm8k": + self.dataset = Gsm8kDataset() + elif self.dataset_type == "gpqa": + self.dataset = GpqaDataset(variant="diamond", seed=seed) + else: + raise ValueError(f"Unknown dataset type: {self.dataset_type}") + + def setup_tasks(self, n_cases: Optional[int] = None, seed: int = 1234): + if self.dataset is None: + raise ValueError("Dataset not loaded. Call load_dataset() first.") + + if n_cases is None: + n_cases = len(self.dataset) + + dataset_size = len(self.dataset) + rng = random.Random(seed) + + self.tasks = [] + for chunk_idx in range((n_cases + dataset_size - 1) // dataset_size): + chunk_size = min(dataset_size, n_cases - chunk_idx * dataset_size) + indices = list(range(dataset_size)) + rng.shuffle(indices) + chunk_indices = indices[:chunk_size] + + for i in chunk_indices: + task_id = f"{self.dataset_type}_{chunk_idx:03d}_{i:03d}" + self.tasks.append((i, task_id)) + + self.all_tasks = list(self.tasks) + + def get_case(self, index: int) -> Tuple[str, str, str]: + if self.dataset is None: + raise ValueError("Dataset not loaded.") + question = self.dataset.get_question(index) + question_text = self.dataset.get_question_text(question) + prompt = self.dataset.get_prompt(question) + expected = self.dataset.get_answer(question) + return question_text, prompt, expected + + def add_result( + self, + task_id: str, + prompt: str, + expected: str, + response: Optional[str], + answer: Optional[str], + grader_log: Dict[str, Any], + correct: bool, + status: str, + tokens: Optional[int] = None, + tps_gen: Optional[float] = None, + t_gen_ms: Optional[float] = None, + reasoning_content: Optional[str] = None, + server_name: Optional[str] = None + ): + with self._lock: + if "cases" not in self.task_states: + self.task_states["cases"] = {} + + self.task_states["cases"][task_id] = { + "task_id": task_id, + "prompt": prompt, + "expected": expected, + "response": response, + "answer": answer, + "grader_log": grader_log, + "correct": correct, + "status": status, + "tokens": tokens, + "tps_gen": tps_gen, + "t_gen_ms": t_gen_ms, + "reasoning_content": reasoning_content, + "server_name": server_name + } + + self.correct = sum(1 for c in self.task_states.get("cases", {}).values() if c.get("correct", False)) + + def print_progress(self, task_state: TaskState, total_tasks: int, n_correct: int = 0): + display_answer = task_state.answer if task_state.answer else "N/A" + display_tokens = str(task_state.tokens) if task_state.tokens is not None else "N/A" + display_tps = f"{task_state.tps_gen:.1f}" if task_state.tps_gen is not None else "N/A" + display_t_gen = f"{task_state.t_gen_ms/1000:.1f}" if task_state.t_gen_ms is not None else "N/A" + display_server = task_state.server_name if task_state.server_name else "N/A" + success_ratio = n_correct / self.processed if self.processed > 0 else 0.0 + first_line = task_state.question_text.split('\n')[0] + truncated_question = first_line[:43] + if len(first_line) > 43: + truncated_question += "..." + else: + truncated_question = truncated_question.ljust(43) + "..." + print(f"{self.processed:3}/{total_tasks:3} {task_state.task_id:<20} {self.dataset_type.upper()} {truncated_question:<40} {task_state.expected:<10} {display_answer:<10} {display_tokens:<6} {display_tps:<6} {display_t_gen:<8} {'✓' if task_state.correct else '✗'} [{n_correct:3}/{self.processed:3}, {success_ratio:.3f}] {display_server}") + + def print_summary(self): + if self.total == 0: + print(f"\n{'='*60}") + print(f"Results: 0/0 correct (0.0%)") + print(f"{'='*60}") + else: + ci_lower, ci_upper = self.accuracy_ci() + print(f"\n{'='*60}") + print(f"Results: {self.correct}/{self.total} correct ({self.correct/self.total*100:.1f}%) [{ci_lower*100:.1f}%, {ci_upper*100:.1f}%]") + print(f"{'='*60}") + + def dump(self): + with self._lock: + tasks_to_save = self.all_tasks if self.all_tasks else self.tasks + all_cases = {} + for i, task_id in tasks_to_save: + question_text, prompt, expected = self.get_case(i) + if task_id in self.task_states.get("cases", {}): + all_cases[task_id] = self.task_states["cases"][task_id] + else: + all_cases[task_id] = { + "task_id": task_id, + "prompt": prompt, + "expected": expected, + "question_text": question_text, + "response": None, + "answer": None, + "grader_log": {}, + "correct": False, + "status": "pending", + "tokens": None, + "tps_gen": None, + "t_gen_ms": None, + "reasoning_content": None, + "server_name": None + } + + ci_lower, ci_upper = self.accuracy_ci() + data = { + "id": self.dataset_type, + "model_name": self.model_name, + "tasks": [tid for _, tid in tasks_to_save], + "task_states": { + "total": self.total, + "correct": self.correct, + "total_time": self.total_time, + "ci_lower": ci_lower, + "ci_upper": ci_upper, + "cases": all_cases, + }, + "sampling_config": self.sampling_config + } + with open(self.output_file, "w") as f: + json.dump(data, f, indent=2) + + self.dump_html(tasks_to_save, all_cases) + + def dump_html(self, tasks_to_save: List[Tuple[int, str]], all_cases: Dict[str, Any]): + html_file = Path(str(self.output_file) + ".html") + + cases = all_cases + completed = {tid: c for tid, c in cases.items() if c.get("status") == "ok"} + n_correct = sum(1 for c in completed.values() if c.get("correct", False)) + n_incorrect = len(completed) - n_correct + n_pending = len(tasks_to_save) - len(completed) + accuracy = n_correct / len(completed) * 100 if completed else 0.0 + ci_lower, ci_upper = wilson_interval(n_correct, len(completed)) if completed else (0.0, 1.0) + + sampling_parts = [] + for k, v in self.sampling_config.items(): + if v is not None: + sampling_parts.append(f"{k}={v}") + sampling_str = ", ".join(sampling_parts) if sampling_parts else "default" + + rows = [] + for i, task_id in tasks_to_save: + case = cases.get(task_id, {}) + status = case.get("status", "pending") + expected = case.get("expected", "") + answer = case.get("answer", "") if status == "ok" else "" + is_correct = case.get("correct", False) if status == "ok" else False + response = case.get("response", "") or "" + prompt = case.get("prompt", "") or "" + grader_log = case.get("grader_log", {}) + + if status == "ok": + status_class = "correct" if is_correct else "incorrect" + status_text = "✓" if is_correct else "✗" + elif status == "pending": + status_class = "pending" + status_text = "–" + else: + status_class = "error" + status_text = "!" + + tokens = case.get("tokens") + tokens_str = str(tokens) if tokens is not None else "" + tps_gen = case.get("tps_gen") + tps_str = f"{tps_gen:.1f}" if tps_gen is not None else "" + t_gen_ms = case.get("t_gen_ms") + t_gen_str = f"{t_gen_ms/1000:.1f}" if t_gen_ms is not None else "" + reasoning_content = case.get("reasoning_content", "") or "" + server_name = case.get("server_name", "") or "" + + escaped_response = self._escape_html(response) + escaped_prompt = self._escape_html(prompt) + escaped_reasoning = self._escape_html(reasoning_content) + grader_log_str = self._escape_html(json.dumps(grader_log, indent=2)) + escaped_server = self._escape_html(server_name) + + rows.append(f"""<tr class="task-row" onclick="toggleDetails('{task_id}')"> + <td>{task_id}</td> + <td class="{status_class}">{status_text}</td> + <td>{self._escape_html(expected)}</td> + <td>{self._escape_html(answer)}</td> + <td>{tokens_str}</td> + <td>{tps_str}</td> + <td>{t_gen_str}</td> + <td>{escaped_server}</td> + </tr> + <tr id="details-{task_id}" class="details-row"> + <td colspan="8"> + <div class="details-content"> + <b>Prompt</b><pre>{escaped_prompt}</pre> + <b>Response</b><pre>{escaped_response}</pre> + {f'<b>Reasoning</b><pre>{escaped_reasoning}</pre>' if escaped_reasoning else ''} + <b>Grader</b><pre>{grader_log_str}</pre> + </div> + </td> + </tr>""") + + rows_html = "\n".join(rows) + + html_content = f"""<!DOCTYPE html> +<html> +<head> +<meta charset="UTF-8"> +<title>{self.dataset_type.upper()} Eval + + + +
+ {self.dataset_type.upper()} + Model: {self.model_name or 'N/A'} + Accuracy: {accuracy:.1f}% [{ci_lower*100:.1f}%, {ci_upper*100:.1f}%] + Correct: {n_correct} / {len(completed)} + Pending: {n_pending} + Time: {self.total_time:.1f}s + Sampling: {sampling_str} +
+ + + + + + + + + + + + + + + {rows_html} + +
IDGoldAnswerTokensT/sGen sServer
+ + +""" + + with open(html_file, "w") as f: + f.write(html_content) + + def _escape_html(self, s: str) -> str: + return (s.replace("&", "&") + .replace("<", "<") + .replace(">", ">") + .replace('"', """) + .replace("'", "'")) + + @classmethod + def load(cls, path: Path) -> "EvalState": + with open(path, "r") as f: + data = json.load(f) + + eval_state = cls( + dataset_type=data["id"], + sampling_config=data["sampling_config"], + output_file=path, + model_name=data.get("model_name") + ) + eval_state.load_dataset() + + eval_state.tasks = [] + eval_state.all_tasks = [] + for task_id in data.get("tasks", []): + parts = task_id.rsplit("_", 2) + if len(parts) >= 3: + idx = int(parts[-1]) + else: + idx = 0 + eval_state.tasks.append((idx, task_id)) + eval_state.all_tasks.append((idx, task_id)) + + eval_state.task_states = data.get("task_states", {}) + + cases = eval_state.task_states.get("cases", {}) + eval_state.total = eval_state.task_states.get("total", 0) + eval_state.correct = eval_state.task_states.get("correct", 0) + eval_state.total_time = eval_state.task_states.get("total_time", 0.0) + + if eval_state.total == 0: + eval_state.total = len(cases) + eval_state.correct = sum(1 for c in cases.values() if c.get("correct", False)) + + return eval_state + + def is_complete(self) -> bool: + if not self.all_tasks: + return False + cases = self.task_states.get("cases", {}) + completed = {tid for tid in self.task_states.get("cases", {}).keys() if cases.get(tid, {}).get("status") == "ok"} + return len(completed) == len(self.all_tasks) + + def get_pending_tasks(self) -> List[Tuple[int, str]]: + cases = self.task_states.get("cases", {}) + pending = [] + for i, task_id in self.all_tasks: + status = cases.get(task_id, {}).get("status", "pending") + if status != "ok": + pending.append((i, task_id)) + return pending + + def print_all_tasks(self): + cases = self.task_states.get("cases", {}) + tasks_to_show = self.all_tasks if self.all_tasks else self.tasks + print() + print("Tasks:") + print(" Task ID Dataset Prompt (first 40 chars) Expected Answer Tokens T/s Gen s Status") + for i, task_id in tasks_to_show: + question, prompt, expected = self.get_case(i) + case = cases.get(task_id, {}) + status = case.get("status", "pending") + answer = case.get("answer", "N/A") if status == "ok" else "N/A" + tokens = case.get("tokens") + tokens_str = str(tokens) if tokens is not None else "N/A" + tps_gen = case.get("tps_gen") + tps_str = f"{tps_gen:.1f}" if tps_gen is not None else "N/A" + t_gen_ms = case.get("t_gen_ms") + t_gen_str = f"{t_gen_ms/1000:.1f}" if t_gen_ms is not None else "N/A" + server_name = case.get("server_name", "") or "" + is_correct = case.get("correct", False) if status == "ok" else False + symbol = "✓ " if is_correct else ("✗ " if status == "ok" else "") + first_line = question.split('\n')[0] + question_trunc = first_line[:43] + if len(first_line) > 43: + question_trunc += "..." + else: + question_trunc = question_trunc.ljust(43) + "..." + print(f" {task_id:<20} {self.dataset_type.upper()} {question_trunc:<40} {expected:<10} {answer:<10} {tokens_str:<6} {tps_str:<6} {t_gen_str:<8} {symbol}{status} {server_name}") + print() + + def print_existing_summary(self): + cases = self.task_states.get("cases", {}) + completed_cases = {tid: c for tid, c in cases.items() if c.get("status") == "ok"} + correct = sum(1 for c in completed_cases.values() if c.get("correct", False)) + total = len(completed_cases) + if total == 0: + print(f"{'='*60}") + print(f"Results: 0/0 correct (0.0%)") + print(f"{'='*60}") + else: + ci_lower, ci_upper = self.accuracy_ci() + print(f"{'='*60}") + print(f"Results: {correct}/{total} correct ({correct/total*100:.1f}%) [{ci_lower*100:.1f}%, {ci_upper*100:.1f}%]") + print(f"{'='*60}") + + def accuracy_ci(self) -> Tuple[float, float]: + """Compute Wilson score confidence interval from completed cases.""" + cases = self.task_states.get("cases", {}) + completed = {tid: c for tid, c in cases.items() if c.get("status") == "ok"} + correct = sum(1 for c in completed.values() if c.get("correct", False)) + total = len(completed) + return wilson_interval(correct, total) + +def normalize_number(s: str) -> Optional[int]: + match = re.match(r"\d+", s) # match digits from the start + if not match: + return None + return int(match.group(0)) + +class AimeDataset(BaseDataset): + def __init__(self, split: str = "train"): + self.split = split + self.questions = [] + self._load_dataset() + + def _load_dataset(self): + print(f"Loading AIME dataset (split: {self.split})...") + from datasets import load_dataset + + cache_path = cache_dir / "AI-MO___aimo-validation-aime" / "default" / "0.0.0" + if cache_path.exists(): + print(f"Using cached dataset from {cache_path}") + ds = load_dataset("AI-MO/aimo-validation-aime", split=self.split, cache_dir=str(cache_path)) + else: + ds = load_dataset("AI-MO/aimo-validation-aime", split=self.split) + + self.questions = [] + for row in ds: + question = dict(row) + question["dataset_type"] = "aime" + self.questions.append(question) + + print(f"AIME dataset loaded: {len(self.questions)} questions") + + def get_question(self, index: int) -> Dict: + """Get question by index""" + return self.questions[index] + + def get_question_text(self, question: Dict) -> str: + """Get question string""" + return question["problem"] if "problem" in question else question["question"] + + def get_answer(self, question: Dict) -> str: + answer = question["answer"] + if isinstance(answer, str): + normalized = normalize_number(answer) + return str(normalized) if normalized is not None else answer + return str(answer) + + def get_prompt(self, question: Dict) -> str: + """Get formatted prompt for the question""" + return TEMPLATE_REGISTRY[question["dataset_type"]].format( + question=self.get_question_text(question), + ) + +class Aime2025Dataset(BaseDataset): + def __init__(self): + self.questions = [] + self._load_dataset() + + def _load_dataset(self): + print(f"Loading AIME2025 dataset...") + from datasets import load_dataset + + config_name = "AIME2025-I" + cache_path = cache_dir / "opencompass___AIME2025" / "default" / "0.0.0" + if cache_path.exists(): + print(f"Using cached dataset from {cache_path}") + ds = load_dataset("opencompass/AIME2025", config_name, split="test", cache_dir=str(cache_path)) + else: + ds = load_dataset("opencompass/AIME2025", config_name, split="test") + + self.questions = [] + for row in ds: + question = dict(row) + question["dataset_type"] = "aime2025" + self.questions.append(question) + + print(f"AIME2025 dataset loaded: {len(self.questions)} questions") + + print(f"Loading AIME2025 dataset (part 2)...") + config_name_2 = "AIME2025-II" + cache_path_2 = cache_dir / "opencompass___AIME2025" / "default" / "0.0.0" + if cache_path_2.exists(): + print(f"Using cached dataset from {cache_path_2}") + ds_2 = load_dataset("opencompass/AIME2025", config_name_2, split="test", cache_dir=str(cache_path_2)) + else: + ds_2 = load_dataset("opencompass/AIME2025", config_name_2, split="test") + + for row in ds_2: + question = dict(row) + question["dataset_type"] = "aime2025" + self.questions.append(question) + + print(f"AIME2025 dataset loaded: {len(self.questions)} questions (total)") + + def get_question(self, index: int) -> Dict: + """Get question by index""" + return self.questions[index] + + def get_question_text(self, question: Dict) -> str: + """Get question string""" + return question["question"] + + def get_answer(self, question: Dict) -> str: + answer = question["answer"] + if isinstance(answer, str): + normalized = normalize_number(answer) + return str(normalized) if normalized is not None else answer + return str(answer) + + def get_prompt(self, question: Dict) -> str: + """Get formatted prompt for the question""" + return TEMPLATE_REGISTRY["aime2025"].format( + question=self.get_question_text(question), + ) + +class Gsm8kDataset(BaseDataset): + def __init__(self, split: str = "test"): + self.split = split + self.questions = [] + self._load_dataset() + + def _load_dataset(self): + print(f"Loading GSM8K dataset (split: {self.split})...") + from datasets import load_dataset + + cache_path = cache_dir / "openai___gsm8k" / "default" / "0.0.0" + if cache_path.exists(): + print(f"Using cached dataset from {cache_path}") + ds = load_dataset("openai/gsm8k", "main", split=self.split, cache_dir=str(cache_path)) + else: + ds = load_dataset("openai/gsm8k", "main", split=self.split) + + self.questions = [] + for row in ds: + question = dict(row) + question["dataset_type"] = "gsm8k" + + # Extract numeric answer from the answer field (already has #### prefix) + gold = question["answer"] + # Split by #### and take the last part + parts = gold.split("####") + if len(parts) > 1: + gold = parts[-1].strip() + # Extract the first number from the remaining text + normalized = normalize_number(gold) + question["gold"] = str(normalized) if normalized is not None else gold + + self.questions.append(question) + + print(f"GSM8K dataset loaded: {len(self.questions)} questions") + + def get_question(self, index: int) -> Dict: + """Get question by index""" + return self.questions[index] + + def get_question_text(self, question: Dict) -> str: + """Get question string""" + return question["problem"] if "problem" in question else question["question"] + + def get_answer(self, question: Dict) -> str: + # GSM8K has pre-extracted gold field, AIME uses answer field + if "gold" in question: + return question["gold"] + answer = question["answer"] + if isinstance(answer, str): + normalized = normalize_number(answer) + return str(normalized) if normalized is not None else answer + return str(answer) + + def get_prompt(self, question: Dict) -> str: + """Get formatted prompt for the question""" + return TEMPLATE_REGISTRY[question["dataset_type"]].format( + question=self.get_question_text(question), + ) + +class GpqaDataset(BaseDataset): + def __init__(self, variant: str = "diamond", seed: int = 1234): + self.variant = variant + self.seed = seed + self.questions = [] + self._load_dataset() + + def _load_dataset(self): + print(f"Loading GPQA dataset (variant: {self.variant})...") + import pandas as pd + + url = f"https://openaipublic.blob.core.windows.net/simple-evals/gpqa_{self.variant}.csv" + df = pd.read_csv(url) + + rng = random.Random(self.seed) + + self.questions = [] + for _, row in df.iterrows(): + question = row.to_dict() + question["dataset_type"] = "gpqa" + + # Shuffle the answer options + correct_answer = question["Correct Answer"] + incorrect_answers = [ + question["Incorrect Answer 1"], + question["Incorrect Answer 2"], + question["Incorrect Answer 3"] + ] + + # Create list of (answer, is_correct) tuples + options = [(ans, ans == correct_answer) for ans in incorrect_answers] + options.append((correct_answer, True)) + + # Shuffle the options + rng.shuffle(options) + + # Extract shuffled answers and determine correct letter + shuffled_answers = [ans for ans, _ in options] + correct_letter = chr(ord('A') + options.index((correct_answer, True))) + + # Store shuffled answers and correct letter + question["shuffled_answers"] = shuffled_answers + question["correct_letter"] = correct_letter + + self.questions.append(question) + + print(f"GPQA dataset loaded: {len(self.questions)} questions") + + def get_question(self, index: int) -> Dict: + """Get question by index""" + return self.questions[index] + + def get_question_text(self, question: Dict) -> str: + """Get question string""" + return question["Question"] + + def get_answer(self, question: Dict) -> str: + # GPQA returns the correct letter (A, B, C, or D) + return question["correct_letter"] + + def get_prompt(self, question: Dict) -> str: + """Get formatted prompt for the question""" + return TEMPLATE_REGISTRY["gpqa"].format( + Question=self.get_question_text(question), + A=question["shuffled_answers"][0], + B=question["shuffled_answers"][1], + C=question["shuffled_answers"][2], + D=question["shuffled_answers"][3] + ) + +class Grader: + def __init__( + self, + grader_type: str = "llm", + grader_script: Optional[str] = None, + grader_model_name: Optional[str] = None, + grader_server_url: str = "", + dataset_type: str = "aime" + ): + self.grader_type = grader_type + self.grader_script = grader_script + self.grader_model_name = grader_model_name + self.grader_server_url = grader_server_url + self.dataset_type = dataset_type + self.pattern = self._get_pattern() + + def _get_pattern(self) -> Optional[str]: + if self.grader_type == "regex": + return GRADER_PATTERNS.get(self.dataset_type) # Use dataset_type as key + return None + + def _extract_answer_regex(self, pred: str) -> Optional[str]: + """Extract answer using regex pattern""" + if not self.pattern: + return None + + # For AIME datasets, prioritize boxed answers + if self.dataset_type in ["aime", "aime2025"]: + boxed_pattern = r'\\boxed{([^}]+)}' + boxed_matches = re.findall(boxed_pattern, pred, re.IGNORECASE) + if boxed_matches: + # Return the last boxed answer found (most likely the final answer) + return boxed_matches[-1].strip() + + # For other datasets, search for numbers from the end of the text + # This prioritizes numbers that appear later in the response + matches = re.findall(self.pattern, pred, re.IGNORECASE) + if not matches: + return None + + # Process matches from end to start + for match in reversed(matches): + if isinstance(match, tuple): + match = match[0] if match[0] else match[1] + answer = match.strip() + if answer: + return answer + return None + + def _grade_regex(self, gold: str, pred: str) -> Tuple[bool, Optional[str]]: + """Grade using regex pattern matching""" + answer = self._extract_answer_regex(pred) + if answer is None: + return False, None + is_correct = answer.strip() == gold.strip() + return is_correct, answer + + def _grade_cli(self, gold: str, pred: str) -> Tuple[bool, Optional[str]]: + """Grade using external CLI script""" + if not self.grader_script: + raise ValueError("CLI grader requires --grader-script") + + script_path = Path(self.grader_script) + if not script_path.exists(): + raise FileNotFoundError(f"Grader script not found: {self.grader_script}") + + try: + result = subprocess.run( + [str(script_path), "--answer", pred, "--expected", gold], + capture_output=True, + text=True, + timeout=30 + ) + is_correct = result.returncode == 0 + answer = pred if is_correct else None + return is_correct, answer + except subprocess.TimeoutExpired: + return False, None + except Exception as e: + return False, None + + def _grade_llm(self, gold: str, pred: str, problem: str) -> Tuple[bool, Optional[str]]: + """Grade using LLM-based extraction with few-shot examples""" + sample_answers = SAMPLE_ANSWERS.get(self.dataset_type, []) + sample_examples = "\n".join([ + f"Example {i+1}: {ans}" for i, ans in enumerate(sample_answers) + ]) + + system_prompt = f"""You are an answer extraction system. Your task is to extract the answer from the model's response. + +Here are some examples of extracted answers to demonstrate what you are supposed to output: + +{sample_examples} + +When extracting the answer, provide only the extracted answer itself, nothing else. If there is no clear answer that can be extracted from the response, reply with 'no answer'.""" + + user_prompt = f"""Extract the answer from the following response: + +"{pred}" + +Please provide only the extracted answer, nothing else. If there is no clear answer that can be extracted from the response, reply with 'no answer'.""" + + url = f"{self.grader_server_url}/v1/chat/completions" + headers = {"Content-Type": "application/json"} + data = { + "model": self.grader_model_name, + "messages": [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt} + ], + "temperature": 0, + } + #print(json.dumps(data, indent=2)) + + try: + response = requests.post(url, headers=headers, json=data) + response.raise_for_status() + answer = response.json()["choices"][0]["message"]["content"].strip() + is_correct = answer.strip().lower() == gold.strip().lower() + return is_correct, answer + except Exception as e: + return False, None + + def _truncate_response(self, response: str, max_lines: int = 6) -> str: + """Keep only last N lines of response""" + lines = response.split('\n') + return '\n'.join(lines[-max_lines:]) if len(lines) > max_lines else response + + def grade(self, gold: str, pred: str, problem: str = "") -> Tuple[bool, Optional[str]]: + """Grade the response""" + if self.grader_type == "regex": + return self._grade_regex(gold, pred) + elif self.grader_type == "cli": + return self._grade_cli(gold, pred) + elif self.grader_type == "llm": + return self._grade_llm(gold, pred, problem) + else: + raise ValueError(f"Unknown grader type: {self.grader_type}") + +class Processor: + def __init__( + self, + server_configs: List[ServerConfig], + grader: Grader, + model_name: Optional[str] = None, + n_predict: int = -1 + ): + self.server_configs = server_configs + self.grader = grader + self.model_name = model_name + self.n_predict = n_predict + + @staticmethod + def _check_server(server_config: ServerConfig) -> List[str]: + url = f"{server_config.url}/v1/models" + try: + response = requests.get(url) + response.raise_for_status() + models = [m["id"] for m in response.json().get("data", [])] + return models + except Exception as e: + print(f"Error: Cannot reach server {server_config.name} ({server_config.url}): {e}", file=sys.stderr) + sys.exit(1) + + def _make_request( + self, server_config: ServerConfig, eval_state: EvalState, prompt: str + ) -> Tuple[Dict[str, Any], int, Optional[float], Optional[float], str]: + url = f"{server_config.url}/v1/chat/completions" + headers = {"Content-Type": "application/json"} + data = { + "model": self.model_name if self.model_name else "llama", + "messages": [{"role": "user", "content": prompt}], + "n_predict": self.n_predict + } + if eval_state.sampling_config.get("temperature") is not None: + data["temperature"] = eval_state.sampling_config["temperature"] + if eval_state.sampling_config.get("top_k") is not None: + data["top_k"] = eval_state.sampling_config["top_k"] + if eval_state.sampling_config.get("top_p") is not None: + data["top_p"] = eval_state.sampling_config["top_p"] + if eval_state.sampling_config.get("min_p") is not None: + data["min_p"] = eval_state.sampling_config["min_p"] + + response = requests.post(url, headers=headers, json=data) + response.raise_for_status() + result = response.json() + tokens = result.get("usage", {}).get("completion_tokens", 0) + timings = result.get("timings", {}) + tps_gen = timings.get("predicted_per_second") if timings else None + t_gen_ms = timings.get("predicted_ms") if timings else None + finish_reason = result.get("choices", [{}])[0].get("finish_reason", "stop") + return result, tokens, tps_gen, t_gen_ms, finish_reason + + def _process_single_case( + self, server_config: ServerConfig, eval_state: EvalState, i: int, task_id: str + ) -> TaskState: + question_text, prompt, expected = eval_state.get_case(i) + + task_state = TaskState( + task_id=task_id, + prompt=prompt, + expected=expected, + question_text=question_text, + server_name=server_config.name + ) + + try: + response, tokens, tps_gen, t_gen_ms, finish_reason = self._make_request(server_config, eval_state, prompt) + result = response["choices"][0]["message"]["content"] + reasoning_content = response["choices"][0].get("message", {}).get("reasoning_content") + task_state.response = result + task_state.tokens = tokens + task_state.tps_gen = tps_gen + task_state.t_gen_ms = t_gen_ms + task_state.reasoning_content = reasoning_content + + if finish_reason != "stop": + task_state.status = f"error: finish_reason={finish_reason}" + eval_state.add_result( + task_id, prompt, expected, result, None, + {"finish_reason": finish_reason}, False, task_state.status, + tokens, tps_gen, t_gen_ms, reasoning_content, server_config.name + ) + eval_state.dump() + return task_state + + result_truncated = self.grader._truncate_response(result, max_lines=10) + is_correct, answer = self.grader.grade(expected, result_truncated, prompt) + + grader_log = { + "pred": result_truncated, + "grader_type": self.grader.grader_type + } + if self.grader.grader_type == "regex" and self.grader.pattern: + grader_log["pattern"] = self.grader.pattern + + task_state.correct = is_correct + task_state.answer = answer + task_state.grader_log = grader_log + task_state.status = "ok" + + eval_state.add_result( + task_id, prompt, expected, result, answer, + grader_log, is_correct, "ok", + tokens, tps_gen, t_gen_ms, reasoning_content, server_config.name + ) + + eval_state.dump() + + except Exception as e: + task_state.status = f"error: {str(e)}" + + return task_state + + @staticmethod + def _worker( + server_config: ServerConfig, + processor: "Processor", + eval_state: EvalState, + task_queue: Queue, + results_queue: Queue, + ): + """Worker that pulls tasks from a shared queue and sends them to its server.""" + while True: + task = task_queue.get() + if task is None: # sentinel + task_queue.task_done() + break + try: + i, task_id = task + result = processor._process_single_case(server_config, eval_state, i, task_id) + results_queue.put(result) + finally: + task_queue.task_done() + + def evaluate(self, eval_state: EvalState, verbose: bool = False, resume: bool = False): + total_tasks = len(eval_state.tasks) + eval_state.total = len(eval_state.all_tasks) if eval_state.all_tasks else total_tasks + eval_state.processed = 0 + start_time = time.time() + + # Check servers and list models + server_models = [self._check_server(sc) for sc in self.server_configs] + + # Print server info + print(f"\nProcessing {len(eval_state.tasks)} {eval_state.dataset_type.upper()} tasks ...") + print(f"Servers ({len(self.server_configs)}):") + for i, sc in enumerate(self.server_configs): + models_str = ", ".join(server_models[i]) if server_models[i] else "(none)" + print(f" {i+1}. {sc.name} — {sc.url} ({sc.threads} threads) [{models_str}]") + print(f"Model: {self.model_name}") + print(f"Grader: {self.grader.grader_type}") + print(f"Sampling: temp={eval_state.sampling_config.get('temperature', 'skip')}, top-k={eval_state.sampling_config.get('top_k', 'skip')}, top-p={eval_state.sampling_config.get('top_p', 'skip')}, min-p={eval_state.sampling_config.get('min_p', 'skip')}") + print() + + # Shared task queue: all workers compete for tasks + task_queue: Queue = Queue() + for i, task_id in eval_state.tasks: + task_queue.put((i, task_id)) + + # Results queue: workers push completed TaskStates here + results_queue: Queue = Queue() + + # Total worker threads across all servers + total_threads = sum(sc.threads for sc in self.server_configs) + + # Add one sentinel per worker so every worker exits cleanly + for _ in range(total_threads): + task_queue.put(None) + + # Launch workers: one ThreadPoolExecutor per server + executors: List[ThreadPoolExecutor] = [] + worker_futures: List[Any] = [] + for server_config in self.server_configs: + executor = ThreadPoolExecutor(max_workers=server_config.threads) + executors.append(executor) + for _ in range(server_config.threads): + future = executor.submit( + self._worker, server_config, self, eval_state, + task_queue, results_queue + ) + worker_futures.append(future) + + # Drain results as they complete + n_correct = 0 + session_time = 0.0 + completed_count = 0 + + while completed_count < total_tasks: + task_state = results_queue.get() + eval_state.processed += 1 + completed_count += 1 + if task_state.correct: + n_correct += 1 + elapsed = time.time() - start_time + eval_state.total_time += elapsed + session_time += elapsed + start_time = time.time() + eval_state.print_progress(task_state, total_tasks, n_correct) + + if verbose: + print(f"\nCase {eval_state.processed}: {task_state.correct}") + print(f" Expected: {task_state.expected}") + if task_state.response: + print(f" Response: {task_state.response}") + if task_state.answer: + print(f" Answer: {task_state.answer}") + print(f" Status: {task_state.status}") + + # Wait for all workers to finish and shut down executors + for future in worker_futures: + future.result() + for executor in executors: + executor.shutdown(wait=True) + + print(f"\nSession time: {session_time:.1f}s | Total accumulated time: {eval_state.total_time:.1f}s") + eval_state.print_summary() + eval_state.dump() + +def main(): + parser = argparse.ArgumentParser( + description="Simplified evaluation tool for llama.cpp" + ) + parser.add_argument( + "--server", + type=str, + default="http://localhost:8033", + help="Comma-separated llama-server URLs (default: http://localhost:8033)" + ) + parser.add_argument( + "--server-name", + type=str, + default="", + help="Comma-separated display names for servers (default: use URLs)" + ) + parser.add_argument( + "--dataset", + type=str, + default="aime", + choices=["aime", "aime2025", "gsm8k", "gpqa"], + help="Dataset type (default: aime)" + ) + parser.add_argument( + "--n_cases", + type=int, + default=None, + help="Number of cases to evaluate (default: all)" + ) + parser.add_argument( + "--seed", + type=int, + default=1234, + help="Random seed for shuffling (default: 1234)" + ) + parser.add_argument( + "--n_predict", + type=int, + default=-1, + help="Max tokens to predict per prompt (default: -1, infinite)" + ) + parser.add_argument( + "--temperature", + type=float, + default=None, + help="Sampling temperature (default: not passed)" + ) + parser.add_argument( + "--top-k", + type=int, + default=None, + help="Top K sampling (default: not passed)" + ) + parser.add_argument( + "--top-p", + type=float, + default=None, + help="Top P sampling (default: not passed)" + ) + parser.add_argument( + "--min-p", + type=float, + default=None, + help="Min P sampling (default: not passed)" + ) + parser.add_argument( + "--threads", + type=str, + default="32", + help="Comma-separated thread counts per server (default: 32)" + ) + parser.add_argument( + "--model", + type=str, + default=None, + help="Model name to append as query parameter (e.g., gpt-oss-20b-hf)" + ) + parser.add_argument( + "--verbose", + action="store_true", + help="Show detailed output for each case" + ) + parser.add_argument( + "--output", + type=Path, + default=Path("llama-eval-state.json"), + help="Output file for eval state (default: llama-eval-state.json)" + ) + parser.add_argument( + "--grader-type", + type=str, + default="llm", + choices=["regex", "cli", "llm"], + help="Grader type: regex, cli, or llm (default: llm)" + ) + parser.add_argument( + "--grader-script", + type=str, + default=None, + help="CLI grader script path (required for --grader-type cli)" + ) + parser.add_argument( + "--grader-server", + type=str, + default="", + help="Server URL for LLM grader (default: same as main server)" + ) + parser.add_argument( + "--grader-model", + type=str, + default="", + help="Model name for LLM grader (default: same as main model)" + ) + parser.add_argument( + "--resume", + action="store_true", + help="Resume from existing eval state" + ) + + args = parser.parse_args() + + # Parse server URLs and thread counts + server_urls = [u.strip() for u in args.server.split(",") if u.strip()] + thread_counts = [int(t.strip()) for t in args.threads.split(",") if t.strip()] + + if len(server_urls) != len(thread_counts): + print(f"Error: --server ({len(server_urls)} URLs) and --threads ({len(thread_counts)} values) must have the same count") + sys.exit(1) + + # Parse server names (optional, defaults to URLs) + if args.server_name: + server_names = [n.strip() for n in args.server_name.split(",") if n.strip()] + if len(server_names) != len(server_urls): + print(f"Error: --server-name ({len(server_names)} names) and --server ({len(server_urls)} URLs) must have the same count") + sys.exit(1) + else: + server_names = server_urls # fallback to URLs + + server_configs = [ + ServerConfig(url=url, threads=threads, name=name) + for url, threads, name in zip(server_urls, thread_counts, server_names) + ] + + if args.dataset == "gpqa" and args.grader_type != "llm": + print("Error: GPQA dataset requires --grader-type llm") + parser.print_help() + sys.exit(1) + + if args.output.exists(): + print(f"Loading existing eval state from {args.output}") + eval_state = EvalState.load(args.output) + + # Verify model matches + if eval_state.model_name is not None and args.model != eval_state.model_name: + print(f"Error: Model mismatch. State has '{eval_state.model_name}', but --model is '{args.model}'") + sys.exit(1) + + eval_state.print_all_tasks() + eval_state.print_existing_summary() + + if eval_state.is_complete(): + return + + print() + + if not args.resume: + print(f"Evaluation incomplete. Run with --resume to continue.") + return + + pending_tasks = eval_state.get_pending_tasks() + print(f"Resuming from {len(pending_tasks)} pending tasks") + + existing_cases = eval_state.task_states.get("cases", {}) + + eval_state.tasks = pending_tasks + eval_state.task_states["cases"] = existing_cases + + grader_server_url = args.grader_server if args.grader_server else server_configs[0].url + grader_model_name = args.grader_model if args.grader_model else args.model + if args.grader_type == "llm" and not grader_model_name: + print("Error: --grader-type llm requires --grader-model or --model") + sys.exit(1) + grader = Grader( + grader_type=args.grader_type, + grader_script=args.grader_script, + grader_model_name=grader_model_name, + grader_server_url=grader_server_url, + dataset_type=eval_state.dataset_type + ) + resume = True + else: + if args.resume: + print("Error: No existing eval state found to resume") + sys.exit(1) + + grader_server_url = args.grader_server if args.grader_server else server_configs[0].url + grader_model_name = args.grader_model if args.grader_model else args.model + if args.grader_type == "llm" and not grader_model_name: + print("Error: --grader-type llm requires --grader-model or --model") + sys.exit(1) + + grader = Grader( + grader_type=args.grader_type, + grader_script=args.grader_script, + grader_model_name=grader_model_name, + grader_server_url=grader_server_url, + dataset_type=args.dataset + ) + + if args.grader_type == "llm" and not args.grader_server: + print("Warning: Using same server for LLM grader (no --grader-server specified)") + + sampling_config = {} + if args.temperature is not None: + sampling_config["temperature"] = args.temperature + if args.top_k is not None: + sampling_config["top_k"] = args.top_k + if args.top_p is not None: + sampling_config["top_p"] = args.top_p + if args.min_p is not None: + sampling_config["min_p"] = args.min_p + + eval_state = EvalState( + dataset_type=args.dataset, + sampling_config=sampling_config, + output_file=args.output, + model_name=args.model + ) + eval_state.load_dataset(seed=args.seed) + eval_state.setup_tasks(n_cases=args.n_cases, seed=args.seed) + eval_state.dump() + resume = False + + eval_state.print_all_tasks() + + processor = Processor( + server_configs=server_configs, + grader=grader, + model_name=args.model, + n_predict=args.n_predict + ) + + processor.evaluate(eval_state, verbose=args.verbose, resume=resume) + print(f"\nEval state dumped to {args.output}") + +if __name__ == "__main__": + main() diff --git a/examples/llama-eval/llama-server-simulator.py b/examples/llama-eval/llama-server-simulator.py new file mode 100755 index 0000000000..2f9cdc5450 --- /dev/null +++ b/examples/llama-eval/llama-server-simulator.py @@ -0,0 +1,317 @@ +#!/usr/bin/env python3 + +import argparse +import json +import random +import re +import time +import sys +import os +import threading +from http.server import HTTPServer, BaseHTTPRequestHandler +from typing import Dict, List, Optional +from dataclasses import dataclass +from pathlib import Path + +import datasets + +# Set cache directory for HuggingFace datasets +cache_dir = Path.home() / ".cache" / "huggingface" / "datasets" +cache_dir.mkdir(parents=True, exist_ok=True) +os.environ["HF_DATASETS_CACHE"] = str(cache_dir) + +def dice(s1: str, s2: str) -> float: + """Calculate Dice coefficient between two strings based on bigram overlap.""" + if not s1 and not s2: + return 1.0 + + def _bigrams(s: str): + return [s[i : i + 2] for i in range(len(s) - 1)] + + bigrams1 = _bigrams(s1) + bigrams2 = _bigrams(s2) + + if not bigrams1 and not bigrams2: + return 1.0 + + from collections import Counter + + freq1 = Counter(bigrams1) + freq2 = Counter(bigrams2) + + intersection = sum(min(freq1[bg], freq2[bg]) for bg in freq1) + dice_coeff = 2 * intersection / (len(bigrams1) + len(bigrams2)) + return dice_coeff + +def debug_log(message: str): + """Log debug messages to both stdout and a file""" + print(message, file=sys.stderr) + with open("/tmp/simulator-debug.log", "a") as f: + f.write(message + "\n") + +simulator: Optional["Simulator"] = None + +@dataclass +class EvalState: + id: str + tasks: List[str] + task_states: Dict[str, Dict] + sampling_config: Dict + +def normalize_number(s: str) -> Optional[int]: + match = re.match(r"\d+", s) # match digits from the start + if not match: + return None + return int(match.group(0)) + +class AimeDataset: + def __init__(self, split: str = "train"): + self.split = split + self.questions: List[Dict] = [] + self._load_dataset() + + def _load_dataset(self): + print(f"Loading AIME dataset (split: {self.split})...") + + cache_path = Path.home() / ".cache" / "huggingface" / "datasets" / "AI-MO___aimo-validation-aime" / "default" / "0.0.0" + if cache_path.exists(): + print(f"Using cached dataset from {cache_path}") + ds = datasets.load_dataset("AI-MO/aimo-validation-aime", split=self.split, cache_dir=str(cache_path)) + else: + ds = datasets.load_dataset("AI-MO/aimo-validation-aime", split=self.split) + + self.questions = list(ds) + print(f"AIME dataset loaded: {len(self.questions)} questions") + + def find_question(self, request_text: str) -> Optional[Dict]: + best_match = None + best_distance = -1 + best_index = -1 + + for i, question in enumerate(self.questions): + question_text = question["problem"] + request_lower = request_text.lower() + question_lower = question_text.lower() + + # Exact match + if question_lower == request_lower: + debug_log(f"DEBUG: Found exact match at index {i}") + return question + + # Remove LaTeX formatting for more flexible matching + question_no_latex = re.sub(r'\$[^$]+\$', '', question_text) + if question_no_latex.lower() == request_lower: + debug_log(f"DEBUG: Found match (no LaTeX) at index {i}") + return question + + # Calculate Dice coefficient for partial matches + # Only consider if request is at least 50% of question length + if len(request_lower) >= len(question_lower) * 0.5: + distance = dice(question_lower, request_lower) + + if distance > best_distance: + best_distance = distance + best_match = question + best_index = i + + if best_match and best_distance > 0.3: # Threshold for partial match + debug_log(f"DEBUG: Found best partial match at index {best_index} with distance {best_distance:.3f}") + return best_match + + debug_log(f"DEBUG: No matching question found for: {request_text[:100]}...") + return None + + def get_answer(self, question: Dict) -> str: + answer = question["answer"] + if isinstance(answer, str): + normalized = normalize_number(answer) + return str(normalized) if normalized is not None else answer + return str(answer) + +class Simulator: + def __init__( + self, + port: int = 8033, + host: str = "localhost", + success_rate: float = 0.8, + dataset_split: str = "train" + ): + self.port = port + self.host = host + self.success_rate = success_rate + self.dataset = AimeDataset(dataset_split) + self.eval_state = EvalState( + id="aime-2025", + tasks=["aime"], + task_states={}, + sampling_config={"temperature": 0, "max_tokens": 2048} + ) + + def _generate_response( + self, + question: Dict, + should_be_correct: bool + ) -> Dict: + expected_answer = self.dataset.get_answer(question) + + if should_be_correct: + response_text = expected_answer + else: + response_text = self._generate_wrong_answer(question) + + return { + "id": f"chatcmpl-{int(time.time())}", + "object": "chat.completion", + "created": int(time.time()), + "model": "llama", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": response_text + }, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 100, + "completion_tokens": 50, + "total_tokens": 150 + } + } + + def _generate_wrong_answer(self, question: Dict) -> str: + expected_answer = self.dataset.get_answer(question) + + if expected_answer.isdigit(): + wrong_answer = str(int(expected_answer) + 1) + else: + wrong_answer = expected_answer + " (wrong)" + + return wrong_answer + + def _process_request(self, request_data: Dict) -> Dict: + messages = request_data.get("messages", []) + if not messages: + return {"error": "No messages in request"} + + request_text = messages[0].get("content", "") + debug_log(f"DEBUG: Received request with content: {request_text[:150]}...") + + question = self.dataset.find_question(request_text) + if not question: + debug_log(f"DEBUG: find_question returned None") + return {"error": "No matching question found"} + + should_be_correct = random.random() < self.success_rate + + response = self._generate_response(question, should_be_correct) + + task_id = "aime" + self.eval_state.task_states[task_id] = { + "correct": should_be_correct, + "expected": self.dataset.get_answer(question), + "predicted": response["choices"][0]["message"]["content"] + } + + return response + +class RequestHandler(BaseHTTPRequestHandler): + def do_POST(self): + if self.path != "/v1/chat/completions": + self._send_json({"error": "Not found"}, 404) + return + + try: + content_length = int(self.headers.get("Content-Length", 0)) + body = self.rfile.read(content_length) + request_data = json.loads(body) if body else None + + if not request_data: + self._send_json({"error": "Invalid JSON"}, 400) + return + + if simulator is None: + self._send_json({"error": "Simulator not initialized"}, 500) + return + + response = simulator._process_request(request_data) + self._send_json(response, 200) + + except json.JSONDecodeError: + self._send_json({"error": "Invalid JSON"}, 400) + except Exception as e: + print(f"Error processing request: {e}") + self._send_json({"error": str(e)}, 500) + + def _send_json(self, data: dict, status: int = 200): + body = json.dumps(data).encode("utf-8") + self.send_response(status) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(body))) + self.end_headers() + self.wfile.write(body) + + def log_message(self, format, *args): + # Suppress default request logging + pass + + +def main(): + parser = argparse.ArgumentParser( + description="llama-server simulator for testing eval scripts" + ) + parser.add_argument( + "--port", + type=int, + default=8033, + help="Server port (default: 8033)" + ) + parser.add_argument( + "--host", + type=str, + default="localhost", + help="Server host (default: localhost)" + ) + parser.add_argument( + "--success-rate", + type=float, + default=0.8, + help="Success rate 0-1 (default: 0.8)" + ) + parser.add_argument( + "--dataset-split", + type=str, + default="train", + help="AIME dataset split to use (default: train)" + ) + + args = parser.parse_args() + + global simulator + simulator = Simulator( + port=args.port, + host=args.host, + success_rate=args.success_rate, + dataset_split=args.dataset_split + ) + + server = HTTPServer((args.host, args.port), RequestHandler) + server_thread = threading.Thread(target=server.serve_forever, daemon=True) + server_thread.start() + + print("\n=== llama-server-simulator ===") + print(f"Server running on http://{args.host}:{args.port}") + print(f"Success rate: {args.success_rate}") + print(f"AIME dataset loaded: {len(simulator.dataset.questions)} questions") + print("\nPress Ctrl+C to stop\n") + + try: + server_thread.join() + except KeyboardInterrupt: + print("\nShutting down...") + server.shutdown() + +if __name__ == "__main__": + main() diff --git a/examples/llama-eval/test-simulator.sh b/examples/llama-eval/test-simulator.sh new file mode 100755 index 0000000000..f3ddf3e95d --- /dev/null +++ b/examples/llama-eval/test-simulator.sh @@ -0,0 +1,86 @@ +#!/bin/bash + +set -e + +# Get the directory where this script is located +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" + +echo "=== llama-server-simulator Test Script ===" +echo "" + +PORT=8033 +SUCCESS_RATE=0.8 +TEST_PORT=8034 + +echo "Starting simulator on port $PORT with success rate $SUCCESS_RATE..." +source "$SCRIPT_DIR/venv/bin/activate" +python3 "$SCRIPT_DIR/llama-server-simulator.py" --port $PORT --success-rate $SUCCESS_RATE > /tmp/simulator-test.log 2>&1 & +SIMULATOR_PID=$! + +echo "Waiting for simulator to start..." +sleep 5 + +# Helper function to make a request and extract the answer +make_request() { + local question="$1" + curl -s -X POST http://localhost:$PORT/v1/chat/completions \ + -H "Content-Type: application/json" \ + -d "{ + \"model\": \"llama\", + \"messages\": [ + {\"role\": \"user\", \"content\": \"$question\"} + ], + \"temperature\": 0, + \"max_tokens\": 2048 + }" | python3 -c "import sys, json; data = json.load(sys.stdin); print(data.get('choices', [{}])[0].get('message', {}).get('content', data.get('error', 'No response')))" +} + +# Test question (repeated in multiple tests) +TEST_QUESTION="Quadratic polynomials P(x) and Q(x) have leading coefficients 2 and -2, respectively. The graphs of both polynomials pass through the two points (16,54) and (20,53). Find P(0) + Q(0)." + +echo "" +echo "=== Test 1: Correct Answer ===" +echo "Sending request with known question..." +answer=$(make_request "$TEST_QUESTION") +echo "Answer: $answer" +echo "Expected: 116" +echo "Correct: $([ "$answer" == "116" ] && echo "Yes" || echo "No")" + +echo "" +echo "=== Test 2: Wrong Answer ===" +echo "Sending request with known question (success rate 0.0)..." +answer=$(make_request "$TEST_QUESTION") +echo "Answer: $answer" +echo "Expected: 116" +echo "Correct: $([ "$answer" == "116" ] && echo "Yes" || echo "No")" + +echo "" +echo "=== Test 3: No Matching Question ===" +echo "Sending request with non-matching text..." +response=$(make_request "What is the capital of France?") +echo "Response: $response" +echo "Expected: No matching question found" +echo "Correct: $([ "$response" == "No matching question found" ] && echo "Yes" || echo "No")" + +echo "" +echo "=== Test 4: Success Rate Verification ===" +echo "Sending 10 requests to test success rate..." +correct_count=0 +for i in {1..10}; do + answer=$(make_request "$TEST_QUESTION") + if [ "$answer" == "116" ]; then + correct_count=$((correct_count + 1)) + fi + echo " Request $i: Answer = $answer" +done +echo "Correct answers: $correct_count/10" +echo "Expected: ~8/10 (80% success rate)" +echo "Success rate: $(echo "scale=1; $correct_count * 10" | bc)%" + +echo "" +echo "=== Test Complete ===" +echo "Stopping simulator..." +kill $SIMULATOR_PID 2>/dev/null +wait $SIMULATOR_PID 2>/dev/null || true + +echo "Simulator stopped." diff --git a/examples/model-conversion/Makefile b/examples/model-conversion/Makefile index 9356aaf854..0130b0493b 100644 --- a/examples/model-conversion/Makefile +++ b/examples/model-conversion/Makefile @@ -52,6 +52,10 @@ causal-convert-mm-model: METADATA_OVERRIDE="$(METADATA_OVERRIDE)" \ ./scripts/causal/convert-model.sh + $(MAKE) causal-convert-mmproj MM_OUTTYPE="$(MM_OUTTYPE)" + +causal-convert-mmproj: + $(call validate_model_path,causal-convert-mmproj) @MODEL_NAME="$(MODEL_NAME)" OUTTYPE="$(MM_OUTTYPE)" MODEL_PATH="$(MODEL_PATH)" \ METADATA_OVERRIDE="$(METADATA_OVERRIDE)" \ ./scripts/causal/convert-model.sh --mmproj diff --git a/examples/save-load-state/save-load-state.cpp b/examples/save-load-state/save-load-state.cpp index a26fd73cb3..e6f5e9802a 100644 --- a/examples/save-load-state/save-load-state.cpp +++ b/examples/save-load-state/save-load-state.cpp @@ -38,8 +38,12 @@ int main(int argc, char ** argv) { std::string result0; std::string result1; std::string result2; + std::string result3; // init + + ggml_backend_load_all(); + auto llama_init = common_init_from_params(params); auto * model = llama_init->model(); @@ -213,11 +217,83 @@ int main(int argc, char ** argv) { n_past += 1; } + // test on-device state save/load + auto params_ctx4 = common_context_params_to_llama(params); + params_ctx4.n_seq_max = 2; + llama_context * ctx4 = llama_init_from_model(model, params_ctx4); + + llama_sampler * smpl4 = llama_sampler_chain_init(sparams); + + llama_sampler_chain_add(smpl4, llama_sampler_init_dist(params.sampling.seed)); + + printf("\nsingle seq run: %s", params.prompt.c_str()); + + // load state (rng, logits, embedding and kv_cache) from file + n_token_count_out = 0; + + if (!llama_state_load_file(ctx4, state_file.data(), unused_sts.data(), unused_sts.size(), &n_token_count_out)) { + fprintf(stderr, "\n%s : failed to load state\n", __func__); + return 1; + } + + fprintf(stderr, "%s : loaded state with %zu tokens\n", __func__, n_token_count_out); + + // restore state (last tokens) + n_past = n_token_count_out; + if (!common_replay_last_token(ctx4, tokens.back(), n_past)) { + return 1; + } + ++n_past; + + // save seq 0 and load into seq 1 + { + // save kv of seq 0 + std::vector seq_store(llama_state_seq_get_size_ext(ctx4, 0, LLAMA_STATE_SEQ_FLAGS_ON_DEVICE)); + const size_t ncopy = llama_state_seq_get_data_ext(ctx4, seq_store.data(), seq_store.size(), 0, LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + if (ncopy != seq_store.size()) { + fprintf(stderr, "\n%s : seq copy data length %zd does not match expected length %zd\n", __func__, ncopy, seq_store.size()); + return 1; + } + fprintf(stderr, "%s : seq 0 copied, %zd bytes\n", __func__, ncopy); + + // erase whole kv + llama_memory_clear(llama_get_memory(ctx4), true); + fprintf(stderr, "%s : kv cache cleared\n", __func__); + + // restore kv into seq 0 + const size_t nset = llama_state_seq_set_data_ext(ctx4, seq_store.data(), seq_store.size(), 1, LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + if (nset != seq_store.size()) { + fprintf(stderr, "\n%s : seq set data length %zd does not match expected length %zd\n", __func__, nset, seq_store.size()); + return 1; + } + fprintf(stderr, "%s : seq 1 restored, %zd bytes\n", __func__, nset); + } + + // forth run + for (auto i = 0; i < params.n_predict; i++) { + auto next_token = llama_sampler_sample(smpl4, ctx4, -1); + auto next_token_str = common_token_to_piece(ctx4, next_token); + + printf("%s", next_token_str.c_str()); + result3 += next_token_str; + + common_batch_clear(batch); + common_batch_add(batch, next_token, n_past, {1}, true); + + if (llama_decode(ctx4, batch)) { + fprintf(stderr, "\n%s : failed to evaluate\n", __func__); + llama_batch_free(batch); + return 1; + } + n_past += 1; + } + printf("\n"); llama_sampler_free(smpl); llama_sampler_free(smpl2); llama_sampler_free(smpl3); + llama_sampler_free(smpl4); llama_batch_free(batch); @@ -226,12 +302,18 @@ int main(int argc, char ** argv) { llama_free(ctx2); llama_free(ctx3); + llama_free(ctx4); if (result0 != result2) { fprintf(stderr, "\n%s : error : the seq restore generation is different\n", __func__); return 1; } + if (result0 != result3) { + fprintf(stderr, "\n%s : error : the seq restore generation is different\n", __func__); + return 1; + } + fprintf(stderr, "\n%s : success\n", __func__); return 0; diff --git a/examples/speculative-simple/README.md b/examples/speculative-simple/README.md index e3a6c6b4aa..f72129b3f9 100644 --- a/examples/speculative-simple/README.md +++ b/examples/speculative-simple/README.md @@ -6,7 +6,7 @@ Demonstration of basic greedy speculative decoding ./bin/llama-speculative-simple \ -m ../models/qwen2.5-32b-coder-instruct/ggml-model-q8_0.gguf \ -md ../models/qwen2.5-1.5b-coder-instruct/ggml-model-q4_0.gguf \ - -f test.txt -c 0 -ngl 99 --color \ - --sampling-seq k --top-k 1 -fa --temp 0.0 \ - -ngld 99 --draft-max 16 --draft-min 5 --draft-p-min 0.9 + -f test.txt -c 0 -ngl 99 --color on \ + --sampling-seq k --top-k 1 -fa on --temp 0.0 \ + -ngld 99 --spec-draft-n-max 16 --spec-draft-n-draft-min 5 --draft-p-min 0.9 ``` diff --git a/examples/speculative-simple/speculative-simple.cpp b/examples/speculative-simple/speculative-simple.cpp index 5b61b62a1b..5325bcc9e3 100644 --- a/examples/speculative-simple/speculative-simple.cpp +++ b/examples/speculative-simple/speculative-simple.cpp @@ -13,20 +13,6 @@ #include #include -struct spec_checkpoint { - int64_t n_tokens = 0; - - std::vector data; - - size_t size() const { - return data.size(); - } - - bool empty() const { - return data.empty(); - } -}; - int main(int argc, char ** argv) { std::setlocale(LC_NUMERIC, "C"); @@ -43,11 +29,6 @@ int main(int argc, char ** argv) { return 1; } - if (params.speculative.draft.mparams.path.empty()) { - LOG_ERR("%s: --model-draft is required\n", __func__); - return 1; - } - // init llama.cpp llama_backend_init(); llama_numa_init(params.numa); @@ -62,18 +43,11 @@ int main(int argc, char ** argv) { model_tgt = llama_init_tgt->model(); ctx_tgt = llama_init_tgt->context(); - // check if the context supports partial sequence removal - const auto ctx_seq_rm = common_context_can_seq_rm(ctx_tgt); - const bool use_ckpt = (ctx_seq_rm == COMMON_CONTEXT_SEQ_RM_TYPE_FULL); - - if (use_ckpt) { - LOG_INF("speculative decoding will use checkpoints (context does not support partial sequence removal)\n"); - } - const llama_vocab * vocab = llama_model_get_vocab(model_tgt); // load the draft model llama_model_ptr model_dft; + llama_context_ptr ctx_dft; // TODO: simplify this logic { @@ -81,9 +55,6 @@ int main(int argc, char ** argv) { auto params_dft = params; - params_dft.n_parallel = 1; - params_dft.n_ctx = params_spec.n_ctx; - params_dft.n_batch = llama_n_ctx_seq(ctx_tgt); params_dft.devices = params_spec.devices; params_dft.model = params_spec.mparams; params_dft.n_gpu_layers = params_spec.n_gpu_layers; @@ -103,8 +74,19 @@ int main(int argc, char ** argv) { return 1; } - params.speculative.draft.model = model_dft.get(); - params.speculative.draft.cparams = common_context_params_to_llama(params_dft); + auto cparams = common_context_params_to_llama(params_dft); + ctx_dft.reset(llama_init_from_model(model_dft.get(), cparams)); + + params.speculative.draft.ctx_tgt = ctx_tgt; + params.speculative.draft.ctx_dft = ctx_dft.get(); + } + + // check if the context supports partial sequence removal + const bool use_ckpt_tgt = (common_context_can_seq_rm(ctx_tgt) == COMMON_CONTEXT_SEQ_RM_TYPE_FULL); + const bool use_ckpt_dft = (common_context_can_seq_rm(ctx_dft.get()) == COMMON_CONTEXT_SEQ_RM_TYPE_FULL); + + if (use_ckpt_tgt) { + LOG_INF("speculative decoding will use checkpoints (context does not support partial sequence removal)\n"); } // Tokenize the prompt @@ -136,6 +118,8 @@ int main(int argc, char ** argv) { // used to determine end of generation bool has_eos = false; + llama_seq_id seq_id = 0; + // ================================================ // everything until here is standard initialization // the relevant stuff for speculative decoding starts here @@ -146,7 +130,8 @@ int main(int argc, char ** argv) { common_sampler_ptr smpl(common_sampler_init(model_tgt, params.sampling)); // eval the prompt - llama_decode(ctx_tgt, llama_batch_get_one(inp.data(), inp.size() - 1)); + llama_decode(ctx_tgt, llama_batch_get_one(inp.data(), inp.size() - 1)); + llama_decode(ctx_dft.get(), llama_batch_get_one(inp.data(), inp.size() - 1)); // note: keep the last token separate! llama_token id_last = inp.back(); @@ -160,16 +145,16 @@ int main(int argc, char ** argv) { // init the speculator const auto & params_spec = params.speculative; - struct common_speculative * spec = common_speculative_init(params.speculative, ctx_tgt); + struct common_speculative * spec = common_speculative_init(params.speculative, 1); - common_speculative_begin(spec, prompt_tgt); + common_speculative_begin(spec, seq_id, prompt_tgt); llama_batch batch_tgt = llama_batch_init(llama_n_batch(ctx_tgt), 0, 1); size_t n_draft = 0; llama_tokens draft; - spec_checkpoint spec_ckpt; + common_prompt_checkpoint ckpt; const auto t_enc_end = ggml_time_us(); @@ -184,40 +169,57 @@ int main(int argc, char ** argv) { // from a cache or lookup tables. // if (draft.empty()) { + ckpt.update_pos( + prompt_tgt.size(), + llama_memory_seq_pos_min(llama_get_memory(ctx_tgt), seq_id), + llama_memory_seq_pos_max(llama_get_memory(ctx_tgt), seq_id)); + + if (use_ckpt_dft) { + ckpt.update_dft(ctx_dft.get(), seq_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + } + // generate a new draft - draft = common_speculative_draft(spec, params_spec, prompt_tgt, id_last); + common_speculative_get_draft_params(spec, seq_id) = { + /* .drafting = */ true, + /* .n_max = */ -1, + /* .n_past = */ n_past, + /* .id_last = */ id_last, + /* .prompt = */ &prompt_tgt, + /* .result = */ &draft, // output + }; + common_speculative_draft(spec); // save the original draft size n_draft = draft.size(); // save a checkpoint of the target context before evaluating the draft // this allows us to restore the state if partial draft acceptance occurs - if (!draft.empty() && use_ckpt) { - const size_t ckpt_size = llama_state_seq_get_size_ext(ctx_tgt, 0, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - spec_ckpt.data.resize(ckpt_size); + if (!draft.empty()) { + if (use_ckpt_tgt) { + ckpt.update_tgt(ctx_tgt, seq_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + } + } - const size_t n = llama_state_seq_get_data_ext(ctx_tgt, spec_ckpt.data.data(), ckpt_size, 0, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - GGML_ASSERT(n == ckpt_size); + { + ckpt.load_dft(ctx_dft.get(), seq_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); - spec_ckpt.n_tokens = (int64_t) prompt_tgt.size(); - LOG_DBG("created speculative checkpoint (n_tokens = %" PRId64 ", size = %.3f MiB)\n", - spec_ckpt.n_tokens, (float) spec_ckpt.data.size() / 1024 / 1024); + llama_memory_seq_rm(llama_get_memory(ctx_dft.get()), seq_id, ckpt.pos_max + 1, -1); } } else { // we have a previous (partial) draft to reuse from checkpoint restoration - if (use_ckpt) { - GGML_ASSERT(!spec_ckpt.empty()); + if (use_ckpt_tgt) { + GGML_ASSERT(!ckpt.empty()); } } // always have a token to evaluate from before - id_last common_batch_clear(batch_tgt); - common_batch_add (batch_tgt, id_last, n_past++, { 0 }, true); + common_batch_add (batch_tgt, id_last, n_past++, { seq_id }, true); // evaluate the target model on [id_last, draft0, draft1, ..., draftN-1] { for (size_t i = 0; i < draft.size(); ++i) { - common_batch_add(batch_tgt, draft[i], n_past + i, { 0 }, true); + common_batch_add(batch_tgt, draft[i], n_past + i, { seq_id }, true); } //LOG_DBG("target batch: %s\n", string_from(ctx_tgt, batch_tgt).c_str()); @@ -225,9 +227,15 @@ int main(int argc, char ** argv) { llama_decode(ctx_tgt, batch_tgt); } + // evaluate the same batch with the draft model + { + // TODO: extend to support MTP, Eagle, etc. See server code for reference + llama_decode(ctx_dft.get(), batch_tgt); + } + // only save the sampler sampler state if we use checkpoints common_sampler_ptr smpl_save; - if (use_ckpt) { + if (use_ckpt_tgt) { smpl_save.reset(common_sampler_clone(smpl.get())); } @@ -247,17 +255,24 @@ int main(int argc, char ** argv) { // check for partial draft acceptance: // if the context doesn't support partial sequence removal, restore the checkpoint // and make the accepted tokens the new partial draft for the next iteration - if (use_ckpt && ids.size() - 1 < draft.size()) { + if (use_ckpt_tgt && ids.size() - 1 < draft.size()) { LOG_DBG("partial acceptance: %zu < %zu, restoring checkpoint\n", ids.size() - 1, draft.size()); draft = std::move(ids); - const size_t n = llama_state_seq_set_data_ext(ctx_tgt, spec_ckpt.data.data(), spec_ckpt.size(), 0, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - GGML_ASSERT(n == spec_ckpt.size()); + { + ckpt.load_tgt(ctx_tgt, seq_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); - llama_memory_seq_rm(llama_get_memory(ctx_tgt), 0, spec_ckpt.n_tokens, -1); + llama_memory_seq_rm(llama_get_memory(ctx_tgt), seq_id, ckpt.pos_max + 1, -1); + } - prompt_tgt.resize(spec_ckpt.n_tokens); + { + ckpt.load_dft(ctx_dft.get(), seq_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + + llama_memory_seq_rm(llama_get_memory(ctx_dft.get()), seq_id, ckpt.pos_max + 1, -1); + } + + prompt_tgt.resize(ckpt.n_tokens); smpl = std::move(smpl_save); n_past = (int) prompt_tgt.size(); @@ -265,7 +280,7 @@ int main(int argc, char ** argv) { continue; } - common_speculative_accept(spec, ids.size() - 1); + common_speculative_accept(spec, seq_id, ids.size() - 1); // full acceptance: consume the draft and commit accepted tokens n_past += ids.size() - 1; @@ -305,7 +320,8 @@ int main(int argc, char ** argv) { { LOG_DBG("clear kv cache from any extra tokens, n_past = %d\n", n_past); - llama_memory_seq_rm(llama_get_memory(ctx_tgt), 0, n_past, -1); + llama_memory_seq_rm(llama_get_memory(ctx_tgt), seq_id, n_past, -1); + llama_memory_seq_rm(llama_get_memory(ctx_dft.get()), seq_id, n_past, -1); } if ((params.n_predict >= 0 && n_predict > params.n_predict) || has_eos) { diff --git a/examples/speculative/speculative.cpp b/examples/speculative/speculative.cpp index 6ed9c9143a..f7fa5e3060 100644 --- a/examples/speculative/speculative.cpp +++ b/examples/speculative/speculative.cpp @@ -110,13 +110,21 @@ int main(int argc, char ** argv) { return 1; } - if ( - llama_vocab_get_add_bos(vocab_tgt) != llama_vocab_get_add_bos(vocab_dft) || - llama_vocab_get_add_eos(vocab_tgt) != llama_vocab_get_add_eos(vocab_dft) || - llama_vocab_bos(vocab_tgt) != llama_vocab_bos(vocab_dft) || - llama_vocab_eos(vocab_tgt) != llama_vocab_eos(vocab_dft) - ) { - LOG_ERR("%s: draft model special tokens must match target model to use speculation\n", __func__); + if (llama_vocab_get_add_bos(vocab_tgt) != llama_vocab_get_add_bos(vocab_dft) || + (llama_vocab_get_add_bos(vocab_tgt) && llama_vocab_bos(vocab_tgt) != llama_vocab_bos(vocab_dft))) { + LOG_ERR("%s: draft model bos tokens must match target model to use speculation. add: %d - %d, id: %d - %d)\n", + __func__, + llama_vocab_get_add_bos(vocab_tgt), llama_vocab_get_add_bos(vocab_dft), + llama_vocab_bos(vocab_tgt), llama_vocab_bos(vocab_dft)); + return 1; + } + + if (llama_vocab_get_add_eos(vocab_tgt) != llama_vocab_get_add_eos(vocab_dft) || + (llama_vocab_get_add_eos(vocab_tgt) && llama_vocab_eos(vocab_tgt) != llama_vocab_eos(vocab_dft))) { + LOG_ERR("%s: draft model eos tokens must match target model to use speculation. add: %d - %d, id: %d - %d)\n", + __func__, + llama_vocab_get_add_eos(vocab_tgt), llama_vocab_get_add_eos(vocab_dft), + llama_vocab_eos(vocab_tgt), llama_vocab_eos(vocab_dft)); return 1; } @@ -137,11 +145,12 @@ int main(int argc, char ** argv) { for (int i = SPEC_VOCAB_CHECK_START_TOKEN_ID; i < std::min(n_vocab_tgt, n_vocab_dft); ++i) { const char * token_text_tgt = llama_vocab_get_text(vocab_tgt, i); const char * token_text_dft = llama_vocab_get_text(vocab_dft, i); + if (std::strcmp(token_text_tgt, token_text_dft) != 0) { LOG_ERR("%s: draft model vocab must match target model to use speculation but ", __func__); LOG_ERR("token %d content differs - target '%s', draft '%s'\n", i, - common_token_to_piece(ctx_tgt, i).c_str(), - common_token_to_piece(ctx_dft, i).c_str()); + common_token_to_piece(vocab_tgt, i).c_str(), + common_token_to_piece(vocab_dft, i).c_str()); return 1; } } diff --git a/examples/sycl/start-svr.sh b/examples/sycl/start-svr.sh index 55cd0210f3..b7ea309648 100755 --- a/examples/sycl/start-svr.sh +++ b/examples/sycl/start-svr.sh @@ -111,14 +111,14 @@ if [ $GGML_SYCL_DEVICE -ne -1 ]; then echo "Use $GGML_SYCL_DEVICE as main GPU" #use signle GPU only GPUS_SETTING="-mg $GGML_SYCL_DEVICE -sm ${SPLIT_MODE}" - export ONEAPI_DEVICE_SELECTOR="level_zero:${$GGML_SYCL_DEVICE}" + export ONEAPI_DEVICE_SELECTOR="level_zero:${GGML_SYCL_DEVICE}" echo "ONEAPI_DEVICE_SELECTOR=${ONEAPI_DEVICE_SELECTOR}" else echo "Use all Intel GPUs, including iGPU & dGPU" GPUS_SETTING="-sm ${SPLIT_MODE}" fi -echo "run cmd: ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 200 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap " +echo "run cmd: ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap --host 0.0.0.0 --port 8000" ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap --host 0.0.0.0 --port 8000 diff --git a/examples/sycl/test.sh b/examples/sycl/test.sh index 14dcac56ad..38d2e92689 100755 --- a/examples/sycl/test.sh +++ b/examples/sycl/test.sh @@ -119,7 +119,7 @@ if [ $GGML_SYCL_DEVICE -ne -1 ]; then echo "Use $GGML_SYCL_DEVICE as main GPU" #use signle GPU only GPUS_SETTING="-mg $GGML_SYCL_DEVICE -sm ${SPLIT_MODE}" - export ONEAPI_DEVICE_SELECTOR="level_zero:${$GGML_SYCL_DEVICE}" + export ONEAPI_DEVICE_SELECTOR="level_zero:${GGML_SYCL_DEVICE}" echo "ONEAPI_DEVICE_SELECTOR=${ONEAPI_DEVICE_SELECTOR}" else echo "Use all Intel GPUs, including iGPU & dGPU" diff --git a/flake.lock b/flake.lock deleted file mode 100644 index d114f4422a..0000000000 --- a/flake.lock +++ /dev/null @@ -1,58 +0,0 @@ -{ - "nodes": { - "flake-parts": { - "inputs": { - "nixpkgs-lib": "nixpkgs-lib" - }, - "locked": { - "lastModified": 1730504689, - "narHash": "sha256-hgmguH29K2fvs9szpq2r3pz2/8cJd2LPS+b4tfNFCwE=", - "owner": "hercules-ci", - "repo": "flake-parts", - "rev": "506278e768c2a08bec68eb62932193e341f55c90", - "type": "github" - }, - "original": { - "owner": "hercules-ci", - "repo": "flake-parts", - "type": "github" - } - }, - "nixpkgs": { - "locked": { - "lastModified": 1732014248, - "narHash": "sha256-y/MEyuJ5oBWrWAic/14LaIr/u5E0wRVzyYsouYY3W6w=", - "owner": "NixOS", - "repo": "nixpkgs", - "rev": "23e89b7da85c3640bbc2173fe04f4bd114342367", - "type": "github" - }, - "original": { - "owner": "NixOS", - "ref": "nixos-unstable", - "repo": "nixpkgs", - "type": "github" - } - }, - "nixpkgs-lib": { - "locked": { - "lastModified": 1730504152, - "narHash": "sha256-lXvH/vOfb4aGYyvFmZK/HlsNsr/0CVWlwYvo2rxJk3s=", - "type": "tarball", - "url": "https://github.com/NixOS/nixpkgs/archive/cc2f28000298e1269cea6612cd06ec9979dd5d7f.tar.gz" - }, - "original": { - "type": "tarball", - "url": "https://github.com/NixOS/nixpkgs/archive/cc2f28000298e1269cea6612cd06ec9979dd5d7f.tar.gz" - } - }, - "root": { - "inputs": { - "flake-parts": "flake-parts", - "nixpkgs": "nixpkgs" - } - } - }, - "root": "root", - "version": 7 -} diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt index b9f7deb150..672b37dffc 100644 --- a/ggml/CMakeLists.txt +++ b/ggml/CMakeLists.txt @@ -4,8 +4,8 @@ project("ggml" C CXX ASM) ### GGML Version set(GGML_VERSION_MAJOR 0) -set(GGML_VERSION_MINOR 10) -set(GGML_VERSION_PATCH 0) +set(GGML_VERSION_MINOR 11) +set(GGML_VERSION_PATCH 1) set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}") list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/") diff --git a/ggml/include/ggml-backend.h b/ggml/include/ggml-backend.h index d0c7e5a1be..b6f7373980 100644 --- a/ggml/include/ggml-backend.h +++ b/ggml/include/ggml-backend.h @@ -169,7 +169,7 @@ extern "C" { // device type enum ggml_backend_dev_type type; // device id - // for PCI devices, this should be the PCI bus id formatted as "domain:bus:device.function" (e.g. "0000:01:00.0") + // for PCI devices, this should be the lower-case PCI bus id formatted as "domain:bus:device.function" (e.g. "0000:c1:00.0") // if the id is unknown, this should be NULL const char * device_id; // device capabilities diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h index 703e378313..3357a0d998 100644 --- a/ggml/include/ggml.h +++ b/ggml/include/ggml.h @@ -438,6 +438,12 @@ extern "C" { GGML_PREC_F32 = 10, }; + // op hint + enum ggml_op_hint { + GGML_HINT_NONE = 0, + GGML_HINT_SRC0_IS_HADAMARD = 1, + }; + // model file types enum ggml_ftype { GGML_FTYPE_UNKNOWN = -1, @@ -1419,6 +1425,11 @@ extern "C" { struct ggml_tensor * a, enum ggml_prec prec); + // change the hint of a matrix multiplication + GGML_API void ggml_mul_mat_set_hint( + struct ggml_tensor * a, + enum ggml_op_hint hint); + // indirect matrix multiplication GGML_API struct ggml_tensor * ggml_mul_mat_id( struct ggml_context * ctx, diff --git a/ggml/src/ggml-backend-meta.cpp b/ggml/src/ggml-backend-meta.cpp index fbc02d6458..c0ffd9a048 100644 --- a/ggml/src/ggml-backend-meta.cpp +++ b/ggml/src/ggml-backend-meta.cpp @@ -2100,8 +2100,8 @@ static const ggml_backend_i ggml_backend_meta_i = { /* .free = */ ggml_backend_meta_free, /* .set_tensor_async = */ ggml_backend_meta_set_tensor_async, /* .get_tensor_async = */ ggml_backend_meta_get_tensor_async, - /* .get_tensor_2d_async = */ nullptr, /* .set_tensor_2d_async = */ nullptr, + /* .get_tensor_2d_async = */ nullptr, /* .cpy_tensor_async = */ nullptr, /* .synchronize = */ ggml_backend_meta_synchronize, /* .graph_plan_create = */ nullptr, diff --git a/ggml/src/ggml-backend.cpp b/ggml/src/ggml-backend.cpp index d9f8aaec52..4e36909f45 100644 --- a/ggml/src/ggml-backend.cpp +++ b/ggml/src/ggml-backend.cpp @@ -965,7 +965,7 @@ static void ggml_backend_sched_print_assignments(ggml_backend_sched_t sched, str } if (sched->debug > 1) { ggml_backend_t tensor_backend = ggml_backend_sched_get_tensor_backend(sched, node); - GGML_LOG_DEBUG("node #%3d (%10.10s): %20.20s (%5.5s) [%5.5s %8.8s] use=%d,c=%d:", i, ggml_op_name(node->op), node->name, + GGML_LOG_DEBUG("node #%3d (%10.10s): %20.20s (%5.5s) [%5.5s %8.8s] use=%d,c=%d:", i, ggml_op_desc(node), node->name, fmt_size(ggml_nbytes(node)), tensor_backend ? ggml_backend_name(tensor_backend) : "NULL", GET_CAUSE(node), graph->use_counts[ggml_hash_find(&graph->visited_hash_set, node)], node->flags & GGML_TENSOR_FLAG_COMPUTE ? 1 : 0); for (int j = 0; j < GGML_MAX_SRC; j++) { diff --git a/ggml/src/ggml-blas/ggml-blas.cpp b/ggml/src/ggml-blas/ggml-blas.cpp index 05245b6980..b4c735267e 100644 --- a/ggml/src/ggml-blas/ggml-blas.cpp +++ b/ggml/src/ggml-blas/ggml-blas.cpp @@ -262,9 +262,9 @@ static struct ggml_backend_i blas_backend_i = { /* .get_name = */ ggml_backend_blas_get_name, /* .free = */ ggml_backend_blas_free, /* .set_tensor_async = */ NULL, - /* .get_tensor_2d_async = */ NULL, - /* .set_tensor_2d_async = */ NULL, /* .get_tensor_async = */ NULL, + /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, /* .synchronize = */ NULL, /* .graph_plan_create = */ NULL, diff --git a/ggml/src/ggml-cann/ggml-cann.cpp b/ggml/src/ggml-cann/ggml-cann.cpp index 3618ba7f6f..5f51ea3bb3 100644 --- a/ggml/src/ggml-cann/ggml-cann.cpp +++ b/ggml/src/ggml-cann/ggml-cann.cpp @@ -2746,8 +2746,8 @@ static const ggml_backend_i ggml_backend_cann_interface = { /* .free = */ ggml_backend_cann_free, /* .set_tensor_async = */ ggml_backend_cann_set_tensor_async, /* .get_tensor_async = */ ggml_backend_cann_get_tensor_async, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ ggml_backend_cann_cpy_tensor_async, /* .synchronize = */ ggml_backend_cann_synchronize, /* .graph_plan_create = */ NULL, diff --git a/ggml/src/ggml-cpu/CMakeLists.txt b/ggml/src/ggml-cpu/CMakeLists.txt index c1c225f019..869c7b238b 100644 --- a/ggml/src/ggml-cpu/CMakeLists.txt +++ b/ggml/src/ggml-cpu/CMakeLists.txt @@ -578,13 +578,13 @@ function(ggml_add_cpu_backend_variant_impl tag_name) # Fetch KleidiAI sources: include(FetchContent) - set(KLEIDIAI_COMMIT_TAG "v1.22.0") - set(KLEIDIAI_DOWNLOAD_URL "https://github.com/ARM-software/kleidiai/archive/refs/tags/${KLEIDIAI_COMMIT_TAG}.tar.gz") - set(KLEIDIAI_ARCHIVE_MD5 "54049037570ab0ee0a0d126b2ba5ece1") + set(KLEIDIAI_COMMIT_TAG "v1.24.0") + set(KLEIDIAI_DOWNLOAD_URL "https://github.com/ARM-software/kleidiai/releases/download/${KLEIDIAI_COMMIT_TAG}/kleidiai-${KLEIDIAI_COMMIT_TAG}-src.tar.gz") + set(KLEIDIAI_RELEASE_ARCHIVE_MD5 "2f02ebe29573d45813e671eb304f2a00") set(KLEIDIAI_FETCH_ARGS URL ${KLEIDIAI_DOWNLOAD_URL} - URL_HASH MD5=${KLEIDIAI_ARCHIVE_MD5} + URL_HASH MD5=${KLEIDIAI_RELEASE_ARCHIVE_MD5} ) if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.24") list(APPEND KLEIDIAI_FETCH_ARGS DOWNLOAD_EXTRACT_TIMESTAMP NEW) diff --git a/ggml/src/ggml-cpu/arch-fallback.h b/ggml/src/ggml-cpu/arch-fallback.h index 595ded09f0..b0391a67c8 100644 --- a/ggml/src/ggml-cpu/arch-fallback.h +++ b/ggml/src/ggml-cpu/arch-fallback.h @@ -203,7 +203,6 @@ #elif defined(__riscv) // quants.c #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 -#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0 // repack.cpp #define ggml_quantize_mat_q8_0_4x1_generic ggml_quantize_mat_q8_0_4x1 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4 diff --git a/ggml/src/ggml-cpu/arch/riscv/quants.c b/ggml/src/ggml-cpu/arch/riscv/quants.c index d3278d6489..ee69e5ab5e 100644 --- a/ggml/src/ggml-cpu/arch/riscv/quants.c +++ b/ggml/src/ggml-cpu/arch/riscv/quants.c @@ -480,6 +480,104 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const voi #endif } +#if defined(__riscv_v) +static NOINLINE void ggml_vec_dot_q1_0_q8_0_vl256(const int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy) { + const int qk = QK1_0; + const int nb = n / qk; + assert(n % qk == 0); + + const block_q1_0 * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + //LMUL = 1, VLMAX = 32 + const size_t vl32 = __riscv_vsetvl_e8m1(32); + assert(vl32 == 32); + + const vint16m1_t zero = __riscv_vmv_v_x_i16m1(0, 1); + + float sumf = 0; + + for (int ib = 0; ib < nb; ++ib) { + const float d0 = GGML_CPU_FP16_TO_FP32(x[ib].d); + + float acc = 0; + + for (int k = 0; k < 4; ++k) { + const block_q8_0 * GGML_RESTRICT yb = &y[ib * 4 + k]; + const vbool8_t is_not_zero = __riscv_vlm_v_b8(x[ib].qs + 4 * k, vl32); + + const vint8m1_t qy = __riscv_vle8_v_i8m1(yb->qs, vl32); + const vint8m1_t neg_qy = __riscv_vneg_v_i8m1(qy, vl32); + const vint8m1_t sy = __riscv_vmerge_vvm_i8m1(neg_qy, qy, is_not_zero, vl32); + + const vint16m1_t red = __riscv_vwredsum_vs_i8m1_i16m1(sy, zero, vl32); + acc += GGML_CPU_FP16_TO_FP32(yb->d) * (float)__riscv_vmv_x_s_i16m1_i16(red); + } + + sumf += d0 * acc; + } + + *s = sumf; +} + +static NOINLINE void ggml_vec_dot_q1_0_q8_0_vl128(const int n, float * GGML_RESTRICT s, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy) { + const int qk = QK1_0; + const int nb = n / qk; + assert(n % qk == 0); + + const block_q1_0 * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + //LMUL = 2, VLMAX = 32 + const size_t vl32 = __riscv_vsetvl_e8m2(32); + assert(vl32 == 32); + + const vint16m1_t zero = __riscv_vmv_v_x_i16m1(0, 1); + + float sumf = 0; + + for (int ib = 0; ib < nb; ++ib) { + const float d0 = GGML_CPU_FP16_TO_FP32(x[ib].d); + + float acc = 0; + + for (int k = 0; k < 4; ++k) { + const block_q8_0 * GGML_RESTRICT yb = &y[ib * 4 + k]; + const vbool4_t is_not_zero = __riscv_vlm_v_b4(x[ib].qs + 4 * k, vl32); + + const vint8m2_t qy = __riscv_vle8_v_i8m2(yb->qs, vl32); + const vint8m2_t neg_qy =__riscv_vneg_v_i8m2(qy, vl32); + const vint8m2_t sy = __riscv_vmerge_vvm_i8m2(neg_qy, qy, is_not_zero, vl32); + + const vint16m1_t red = __riscv_vwredsum_vs_i8m2_i16m1(sy, zero, vl32); + acc += GGML_CPU_FP16_TO_FP32(yb->d) * (float)__riscv_vmv_x_s_i16m1_i16(red); + } + + sumf += d0 * acc; + } + + *s = sumf; +} +#endif + +void ggml_vec_dot_q1_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined(__riscv_v) + assert(nrc == 1); + + const size_t vlen_bits = __riscv_vlenb() * 8; + + if (vlen_bits >= 256) { + ggml_vec_dot_q1_0_q8_0_vl256(n, s, vx, vy); + } else if (vlen_bits >= 128) { + ggml_vec_dot_q1_0_q8_0_vl128(n, s, vx, vy); + } else { + ggml_vec_dot_q1_0_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc); + } +#else + ggml_vec_dot_q1_0_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + void ggml_vec_dot_q2_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { assert(nrc == 1); UNUSED(nrc); diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c index 2b3eb5b5ce..8b7acafdaa 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.c +++ b/ggml/src/ggml-cpu/ggml-cpu.c @@ -1245,6 +1245,12 @@ void ggml_compute_forward_mul_mat( const struct ggml_tensor * src0 = dst->src[0]; const struct ggml_tensor * src1 = dst->src[1]; + const int32_t hint = ggml_get_op_params_i32(dst, 1); + if (hint == GGML_HINT_SRC0_IS_HADAMARD && !params->use_ref) { + ggml_compute_forward_fwht(params, dst); + return; + } + GGML_TENSOR_BINARY_OP_LOCALS const int ith = params->ith; @@ -2959,6 +2965,45 @@ struct ggml_cplan ggml_graph_plan( return cplan; } + +// Try to fuse the current node with subsequent nodes for better performance. +// Returns the number of nodes skipped by fusion (>=1), or 0 if no fusion was applied. +static bool ggml_cpu_disable_fusion = false; // initialized once in ggml_cpu_init(), read-only afterwards + +static int ggml_cpu_try_fuse_ops( + const struct ggml_cgraph * cgraph, + const int node_n, + const struct ggml_compute_params * params, + const struct ggml_cplan * cplan) { + + if (ggml_cpu_disable_fusion || cplan->use_ref) { + return 0; + } + + struct ggml_tensor * node = cgraph->nodes[node_n]; + + if (node->op == GGML_OP_RMS_NORM) { + // RMS_NORM + MUL fusion + const enum ggml_op fuse_ops[] = { GGML_OP_RMS_NORM, GGML_OP_MUL }; + if (ggml_can_fuse(cgraph, node_n, fuse_ops, 2)) { + struct ggml_tensor * mul_node = cgraph->nodes[node_n + 1]; + const struct ggml_tensor * mul_w = (mul_node->src[0] == node) + ? mul_node->src[1] : mul_node->src[0]; + if (node->src[0]->type == GGML_TYPE_F32 && + mul_node->type == GGML_TYPE_F32 && + mul_w->type == GGML_TYPE_F32 && + mul_w->ne[0] == node->ne[0] && + mul_w->nb[0] == sizeof(float)) { + + ggml_compute_forward_rms_norm_mul_fused(params, node, mul_node); + return 1; + } + } + } + + return 0; +} + static thread_ret_t ggml_graph_compute_thread(void * data) { struct ggml_compute_state * state = (struct ggml_compute_state *) data; struct ggml_threadpool * tp = state->threadpool; @@ -2995,7 +3040,14 @@ static thread_ret_t ggml_graph_compute_thread(void * data) { continue; } - ggml_compute_forward(¶ms, node); + // TODO: move fused-op detection into ggml_graph_plan so fusion decisions are made once at planning time + // Try fused ops, fall back to normal compute + const int n_fused = ggml_cpu_try_fuse_ops(cgraph, node_n, ¶ms, cplan); + if (n_fused > 0) { + node_n += n_fused; + } else { + ggml_compute_forward(¶ms, node); + } if (state->ith == 0 && cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) { @@ -3757,6 +3809,11 @@ void ggml_cpu_init(void) { ggml_init_riscv_arch_features(); #endif + { + const char * env = getenv("GGML_CPU_DISABLE_FUSION"); + ggml_cpu_disable_fusion = (env != NULL && atoi(env) == 1); + } + is_first_call = false; } diff --git a/ggml/src/ggml-cpu/ggml-cpu.cpp b/ggml/src/ggml-cpu/ggml-cpu.cpp index 49f840be20..128883b41c 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.cpp +++ b/ggml/src/ggml-cpu/ggml-cpu.cpp @@ -195,8 +195,8 @@ static const struct ggml_backend_i ggml_backend_cpu_i = { /* .free = */ ggml_backend_cpu_free, /* .set_tensor_async = */ NULL, /* .get_tensor_async = */ NULL, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, /* .synchronize = */ NULL, /* .graph_plan_create = */ ggml_backend_cpu_graph_plan_create, diff --git a/ggml/src/ggml-cpu/ops.cpp b/ggml/src/ggml-cpu/ops.cpp index a9bc21da6f..6bc8dc150c 100644 --- a/ggml/src/ggml-cpu/ops.cpp +++ b/ggml/src/ggml-cpu/ops.cpp @@ -3713,11 +3713,27 @@ void ggml_compute_forward_norm( // ggml_compute_forward_group_rms_norm +// fusion kinds that can be combined with the rms_norm computation in a single pass. +// extend this enum when adding new fused variants (e.g. FUSE_ADD, FUSE_MUL_ADD, ...). +enum ggml_rms_norm_fuse_op { + GGML_RMS_NORM_FUSE_OP_NONE, + GGML_RMS_NORM_FUSE_OP_MUL, +}; + +template static void ggml_compute_forward_rms_norm_f32( const ggml_compute_params * params, - ggml_tensor * dst) { + ggml_tensor * dst_rms_norm, + ggml_tensor * dst_fused = nullptr) { - const ggml_tensor * src0 = dst->src[0]; + const ggml_tensor * src0 = dst_rms_norm->src[0]; + const ggml_tensor * src1 = nullptr; + ggml_tensor * dst = dst_rms_norm; + + if constexpr (FUSE_OP == GGML_RMS_NORM_FUSE_OP_MUL) { + src1 = (dst_fused->src[0] == dst_rms_norm) ? dst_fused->src[1] : dst_fused->src[0]; + dst = dst_fused; + } GGML_ASSERT(ggml_are_same_shape(src0, dst)); @@ -3726,11 +3742,10 @@ static void ggml_compute_forward_rms_norm_f32( const int ith = params->ith; const int nth = params->nth; - GGML_TENSOR_UNARY_OP_LOCALS + GGML_TENSOR_BINARY_OP_LOCALS float eps; - memcpy(&eps, dst->op_params, sizeof(float)); - + memcpy(&eps, dst_rms_norm->op_params, sizeof(float)); GGML_ASSERT(eps >= 0.0f); // TODO: optimize @@ -3740,25 +3755,32 @@ static void ggml_compute_forward_rms_norm_f32( const float * x = (float *) ((char *) src0->data + i01*nb01 + i02*nb02 + i03*nb03); ggml_float sum = 0.0; + // worth switching to explicit SIMD? for (int64_t i00 = 0; i00 < ne00; i00++) { sum += (ggml_float)(x[i00] * x[i00]); } - const float mean = sum/ne00; - - float * y = (float *) ((char *) dst->data + i01*nb1 + i02*nb2 + i03*nb3); - - memcpy(y, x, ne00 * sizeof(float)); - // for (int i00 = 0; i00 < ne00; i00++) { - // y[i00] = x[i00]; - // } - + const float mean = sum/ne00; const float scale = 1.0f/sqrtf(mean + eps); // if you hit this, likely you got an inf somewhere earlier assert(scale > 0.0f); - ggml_vec_scale_f32(ne00, y, scale); + float * y = (float *) ((char *) dst->data + i01*nb1 + i02*nb2 + i03*nb3); + + if constexpr (FUSE_OP == GGML_RMS_NORM_FUSE_OP_MUL) { + const int64_t i11 = i01 % ne11; + const int64_t i12 = i02 % ne12; + const int64_t i13 = i03 % ne13; + const float * w = (float *) ((char *) src1->data + i11*nb11 + i12*nb12 + i13*nb13); + + for (int64_t i00 = 0; i00 < ne00; i00++) { + y[i00] = x[i00] * scale * w[i00]; + } + } else { + memcpy(y, x, ne00 * sizeof(float)); + ggml_vec_scale_f32(ne00, y, scale); + } } } } @@ -3773,7 +3795,31 @@ void ggml_compute_forward_rms_norm( switch (src0->type) { case GGML_TYPE_F32: { - ggml_compute_forward_rms_norm_f32(params, dst); + ggml_compute_forward_rms_norm_f32(params, dst); + } break; + default: + { + GGML_ABORT("fatal error"); + } + } +} + +// Fused RMS_NORM + MUL: computes dst = rms_norm(src0) * src1 in a single pass. +// This avoids materializing the intermediate rms_norm result in memory. +void ggml_compute_forward_rms_norm_mul_fused( + const ggml_compute_params * params, + ggml_tensor * dst_rms_norm, + ggml_tensor * dst_mul) { + + GGML_ASSERT(dst_mul != nullptr); + GGML_ASSERT(dst_mul->src[0] == dst_rms_norm || dst_mul->src[1] == dst_rms_norm); + + const ggml_tensor * src0 = dst_rms_norm->src[0]; + + switch (src0->type) { + case GGML_TYPE_F32: + { + ggml_compute_forward_rms_norm_f32(params, dst_rms_norm, dst_mul); } break; default: { @@ -11212,3 +11258,91 @@ void ggml_compute_forward_opt_step_sgd(const ggml_compute_params * params, ggml_ } } } + +static void ggml_compute_forward_fwht_f32(const ggml_compute_params * params, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + const ggml_tensor * src1 = dst->src[1]; + + GGML_ASSERT(src1->type == GGML_TYPE_F32); + GGML_ASSERT(dst->type == GGML_TYPE_F32); + + GGML_TENSOR_BINARY_OP_LOCALS + + const int ith = params->ith; + const int nth = params->nth; + + const int64_t n = ne10; + GGML_ASSERT((n & (n - 1)) == 0); // must be power of 2 + + const int64_t nr = ne11 * ne12 * ne13; + const int64_t rows_per_thread = (nr + nth - 1) / nth; + const int64_t start_row = ith * rows_per_thread; + const int64_t end_row = MIN(start_row + rows_per_thread, nr); + + const float scale = 1.0f / sqrtf((float)n); + +#if defined(GGML_SIMD) + const GGML_F32_VEC v_minus_one = GGML_F32_VEC_SET1(-1.0f); +#endif + + for (int64_t r = start_row; r < end_row; r++) { + const int64_t i13 = r / (ne11 * ne12); + const int64_t i12 = (r - i13 * ne11 * ne12) / ne11; + const int64_t i11 = r - i13 * ne11 * ne12 - i12 * ne11; + + const float * src_row = (const float *) ((const char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13); + float * dst_row = (float *) ((char *) dst->data + i11 * nb1 + i12 * nb2 + i13 * nb3); + + for (int64_t j = 0; j < n; j++) { + dst_row[j] = src_row[j] * scale; + } + + // Scalar passes +#if defined(GGML_SIMD) + const int step = GGML_F32_EPR; +#else + const int step = n; +#endif + for (int64_t len = 1; len < step && len < n; len <<= 1) { + for (int64_t i = 0; i < n; i += 2 * len) { + for (int64_t j = 0; j < len; j++) { + float u = dst_row[i + j]; + float v = dst_row[i + len + j]; + dst_row[i + j] = u + v; + dst_row[i + len + j] = u - v; + } + } + } + + // SIMD passes using GGML_F32_VEC_* macros for multi-architecture support +#if defined(GGML_SIMD) + for (int64_t len = step; len < n; len <<= 1) { + for (int64_t i = 0; i < n; i += 2 * len) { + for (int64_t j = 0; j < len; j += step) { + GGML_F32_VEC u = GGML_F32_VEC_LOAD(dst_row + i + j); + GGML_F32_VEC v = GGML_F32_VEC_LOAD(dst_row + i + len + j); + + GGML_F32_VEC_STORE(dst_row + i + j, GGML_F32_VEC_ADD(u, v)); + GGML_F32_VEC_STORE(dst_row + i + len + j, GGML_F32_VEC_FMA(u, v, v_minus_one)); + } + } + } +#endif + } +} + +void ggml_compute_forward_fwht(const ggml_compute_params * params, ggml_tensor * dst) { + const ggml_tensor * src1 = dst->src[1]; + + switch (src1->type) { + case GGML_TYPE_F32: + { + ggml_compute_forward_fwht_f32(params, dst); + } + break; + default: + { + GGML_ABORT("fatal error - fwht is F32 only"); + } + } +} diff --git a/ggml/src/ggml-cpu/ops.h b/ggml/src/ggml-cpu/ops.h index 3fa1443abc..7398e56189 100644 --- a/ggml/src/ggml-cpu/ops.h +++ b/ggml/src/ggml-cpu/ops.h @@ -44,6 +44,7 @@ void ggml_compute_forward_concat(const struct ggml_compute_params * params, stru void ggml_compute_forward_silu_back(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_rms_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst); +void ggml_compute_forward_rms_norm_mul_fused(const struct ggml_compute_params * params, struct ggml_tensor * dst_rms_norm, struct ggml_tensor * dst_mul); void ggml_compute_forward_rms_norm_back(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_group_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_l2_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst); @@ -111,6 +112,7 @@ void ggml_compute_forward_cross_entropy_loss(const struct ggml_compute_params * void ggml_compute_forward_cross_entropy_loss_back(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_opt_step_adamw(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_mul_mat(const struct ggml_compute_params * params, struct ggml_tensor * dst); +void ggml_compute_forward_fwht(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_opt_step_sgd(const struct ggml_compute_params * params, struct ggml_tensor * dst); #ifdef __cplusplus } diff --git a/ggml/src/ggml-cuda/allreduce.cu b/ggml/src/ggml-cuda/allreduce.cu new file mode 100644 index 0000000000..434689abd9 --- /dev/null +++ b/ggml/src/ggml-cuda/allreduce.cu @@ -0,0 +1,968 @@ +#include "allreduce.cuh" + +#if !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA) + +#include "convert.cuh" +#include "ggml-impl.h" + +#include +#include +#include +#include + +// --------------------------------------------------------------------------- +// CUDA AllReduce for tensor-parallel inference across two GPUs. +// +// Provides an in-place sum reduction over matching tensors on two CUDA +// devices in the same process. Used by the tensor-split path alongside +// NCCL; targets setups without NVLink, where data is exchanged between the +// GPUs by staging it through pinned host memory over PCIe. +// +// Two reduction strategies are selected per call by tensor size: +// +// * Chunked kernel path (small reductions): a single CUDA kernel both +// stages data through pinned host memory and performs the local sum. +// Cross-GPU synchronization happens *inside the kernel* (busy-wait on +// a host-memory flag), which keeps launch overhead low for the +// latency-sensitive token-generation case. +// +// * Copy-engine path (large reductions): the transfer is split into +// D2H + H2D cudaMemcpyAsync chunks driven by the GPU's copy engine, +// followed by a small device-side add kernel. Cross-GPU +// synchronization happens *outside the kernel*, via CUDA events +// between streams. This keeps the compute engine free while large +// transfers are in flight, which matters for prefill-sized tensors. +// Reductions larger than the per-call inner cap are processed by an +// outer chunker that issues sequential inner calls. +// --------------------------------------------------------------------------- + +// --------------------------------------------------------------------------- +// Cross-GPU signal mechanism +// +// One int per (slot, rank) pair in pinned host memory. Each AR call writes a +// strictly increasing token (= the AR call number) into its own arrival int. +// The peer spins until its read of the other's arrival int equals the token +// it expects for this call -- a mismatch means the peer hasn't arrived yet. +// Tokens never repeat over realistic call rates (32-bit int wraps in tens of +// days at thousands of ARs/sec), so arrival ints don't need to be reset +// between calls; we initialize once at pipeline init and let the values +// accumulate. +// +// There is exactly one writer (the owning GPU) and one reader (the peer), so +// we don't need atomics. A volatile store paired with __threadfence_system() +// provides the release ordering that makes the D2H writes visible system-wide +// before the arrival token is observed. +// +// atomicAdd_system() requires hostNativeAtomicSupported, which is unavailable +// on PCIe-attached consumer GPUs without NVLink, so the volatile path is the +// portable choice. +// --------------------------------------------------------------------------- + +static __device__ __forceinline__ void ggml_cuda_ar_signal_set(int * p, int token) { + *(volatile int *)p = token; +} +static __device__ __forceinline__ int ggml_cuda_ar_signal_get(const int * p) { + return *(const volatile int *)p; +} + +// Byte spacing between adjacent arrival ints. 64 bytes (one cache line) +// ensures each GPU/block's arrival slot lives on its own line, preventing +// false-sharing stalls on the polling GPU. +static constexpr size_t GGML_CUDA_AR_ARRIVAL_STRIDE = 64; + +// Number of blocks the chunked kernel launches with. Each block stripes a +// disjoint slice of the data and synchronizes through its own arrival-token +// slot so multiple SMs can pump PCIe stores in parallel. +static constexpr int GGML_CUDA_AR_KERNEL_BLOCKS = 8; + +// --------------------------------------------------------------------------- +// Chunked kernel AllReduce -- 2 GPUs, supports float, half, and bfloat16. +// +// Both GPUs run this kernel simultaneously on independent streams. sendbuf +// and recvbuf live in T_dst (the caller's tensor type); host_mine / host_other +// carry data in T_wire (the on-wire type, possibly narrower than T_dst -- e.g. +// T_dst=F32 with T_wire=BF16 halves the bytes pushed across PCIe). When +// T_dst == T_wire the casts below are no-ops. +// +// Each GPU runs three phases: +// +// Phase 1 (all threads): cast sendbuf (T_dst) -> T_wire and store as +// single-instruction-width vectors into host_mine. +// __threadfence_system() commits these writes to host +// memory. +// Phase 2 (thread 0): write token to arrival_mine; spin until +// arrival_other == token. +// Phase 3 (all threads): read T_wire vectors from host_other, cast +// each element to T_dst, and sum with the local +// sendbuf value (also rounded through T_wire so that +// both GPUs truncate identically -- this guarantees +// bit-equivalent results across the two devices). +// +// Multi-block: blocks stripe vectors across (gridDim.x * blockDim.x) global +// threads to keep multiple SMs issuing PCIe stores in parallel. Each block +// has its own arrival-token slot (offset by blockIdx.x * ARRIVAL_STRIDE); +// thread 0 of each block signals/spins on that slot independently of other +// blocks. Tail elements (the leftover < ELEMS_PER_VEC at the end) are +// handled only by block 0 to avoid cross-block writes to the same slots. +// --------------------------------------------------------------------------- +template +static __global__ void ggml_cuda_ar_kernel( + const T_dst * sendbuf, + T_dst * recvbuf, + T_wire * __restrict__ host_mine, + const T_wire * __restrict__ host_other, + int count, + int * arrival_mine, + int * arrival_other, + int token) { + + // Vector unit for the wire type, sized to the arch's widest single-instruction + // copy (16 B on Volta+). Each phase-1 iter writes one vector to host memory; + // each phase-3 iter reads one and produces ELEMS_PER_VEC sums. + constexpr int ELEMS_PER_VEC = ggml_cuda_get_max_cpy_bytes() / sizeof(T_wire); + constexpr int ARRIVAL_INTS = (int)(GGML_CUDA_AR_ARRIVAL_STRIDE / sizeof(int)); + + const int tid = threadIdx.x; + const int nt = blockDim.x; + const int bid = blockIdx.x; + const int gtid = bid * nt + tid; + const int gnt = gridDim.x * nt; + const int count_vec = count / ELEMS_PER_VEC; + const int tail = count_vec * ELEMS_PER_VEC; + + // Phase 1: cast sendbuf (T_dst) -> host_mine (T_wire) and store as vectors. + { + for (int i = gtid; i < count_vec; i += gnt) { + const int off = i * ELEMS_PER_VEC; + T_wire wire[ELEMS_PER_VEC]; + #pragma unroll + for (int k = 0; k < ELEMS_PER_VEC; ++k) { + wire[k] = ggml_cuda_cast(sendbuf[off + k]); + } + ggml_cuda_memcpy_1(&host_mine[off], wire); + } + if (bid == 0 && tid < count - tail) { + host_mine[tail + tid] = ggml_cuda_cast(sendbuf[tail + tid]); + } + } + + // Commit this block's host writes before signalling. + __threadfence_system(); + __syncthreads(); + + // Phase 2: thread 0 of each block signals on its own arrival slot, then + // spins for the matching slot from peer. Per-block tokens mean blocks + // proceed independently -- no inter-block barrier needed. + if (tid == 0) { + int * my_slot = arrival_mine + bid * ARRIVAL_INTS; + const int * other_slot = arrival_other + bid * ARRIVAL_INTS; + + ggml_cuda_ar_signal_set(my_slot, token); + __threadfence_system(); // make our signal visible system-wide + + while (ggml_cuda_ar_signal_get(other_slot) != token) { +#if __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA + __nanosleep(100); +#else + NO_DEVICE_CODE; +#endif // __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA + } + } + + __syncthreads(); + + // Acquire peer's host_other writes (this block's stripe of them). + __threadfence_system(); + + // Phase 3: read peer's T_wire vector, cast both sides through T_wire for + // bit-equivalence, sum in T_dst precision, and write back to recvbuf. + { + for (int i = gtid; i < count_vec; i += gnt) { + const int off = i * ELEMS_PER_VEC; + T_wire wire[ELEMS_PER_VEC]; + ggml_cuda_memcpy_1(wire, &host_other[off]); + #pragma unroll + for (int k = 0; k < ELEMS_PER_VEC; ++k) { + const T_wire d_low = ggml_cuda_cast(sendbuf[off + k]); + recvbuf[off + k] = ggml_cuda_cast(d_low) + ggml_cuda_cast(wire[k]); + } + } + if (bid == 0 && tid < count - tail) { + const T_wire d_low = ggml_cuda_cast(sendbuf[tail + tid]); + recvbuf[tail + tid] = + ggml_cuda_cast(d_low) + ggml_cuda_cast(host_other[tail + tid]); + } + } +} + +// Combined load-convert-add kernel. The peer's contribution arrives as T_src +// (which may be a lower-precision type than T_dst when the BF16 round-trip is +// active). For bit-equivalence between the two GPUs, dst is first rounded +// through T_src's precision via ggml_cuda_cast -- peer already truncated its +// own value the same way before sending -- so both sides perform identical +// arithmetic. When T_dst == T_src the round-trip cast is a no-op. +template +static __global__ void ggml_cuda_ar_add_kernel( + T_dst * __restrict__ dst, + const T_src * __restrict__ src, + int count) { + const int tid = blockIdx.x * blockDim.x + threadIdx.x; + const int nt = gridDim.x * blockDim.x; + for (int i = tid; i < count; i += nt) { + const T_src d_low = ggml_cuda_cast(dst[i]); + dst[i] = ggml_cuda_cast(d_low) + ggml_cuda_cast(src[i]); + } +} + +// --------------------------------------------------------------------------- +// Pipeline structure +// --------------------------------------------------------------------------- + +// Number of slots in the event / arrival ring. Two slots is sufficient: +// lockstep guarantees the two GPUs are at most one AR (or chunk) apart, so +// slot[N%2] is always safe to reuse -- peer has already consumed slot[N%2] +// from AR N-2 by the time we get to AR N. acquire_slot's +// cudaEventSynchronize on ev.ker for both devices makes that consumption +// explicit before we overwrite host_buf[slot] for the new AR. +static constexpr int GGML_CUDA_AR_POOL_SIZE = 2; + +// Maximum chunk size (bytes per GPU) handled by one chunked kernel launch. +// Larger tensors are reduced by issuing multiple chunked launches. +static constexpr size_t GGML_CUDA_AR_MAX_BYTES = 1024 * 1024; // 1 MB + +// Copy-engine path: largest tensor accepted on this path; sets host_large / +// dev_tmp allocation size. +static constexpr size_t GGML_CUDA_AR_COPY_MAX_BYTES = 32 * 1024 * 1024; // 32 MB + +// AR wire size at which the copy-engine path takes over from the chunked- +// kernel path. Override via GGML_CUDA_AR_COPY_THRESHOLD. +static constexpr size_t GGML_CUDA_AR_COPY_THRESHOLD_DEFAULT = 1024 * 1024; // 1 MB +// Per-call CE chunk-size heuristic: chunk_bytes = clamp(nbytes / 4, MIN, MAX). +// The /4 keeps ~4 chunks in flight at any moment (good D2H/H2D overlap with +// the peer); the clamps cover the cases where nbytes/4 is too small (per- +// memcpy fixed cost dominates) or too large (chunk-level pipelining stalls). +// Env var GGML_CUDA_AR_COPY_CHUNK_BYTES can override with a fixed value. +static constexpr size_t GGML_CUDA_AR_COPY_CHUNK_BYTES_HEURISTIC_MIN = 512 * 1024; // 512 KB +static constexpr size_t GGML_CUDA_AR_COPY_CHUNK_BYTES_HEURISTIC_MAX = 2 * 1024 * 1024; // 2 MB +// Absolute floor that an env-var override is allowed to set; this caps the +// per-slot copy-event array. 256 KB -> up to 128 chunks per 32 MB tensor. +static constexpr size_t GGML_CUDA_AR_COPY_CHUNK_BYTES_MIN = 256 * 1024; +static constexpr int GGML_CUDA_AR_COPY_MAX_CHUNKS = + static_cast((GGML_CUDA_AR_COPY_MAX_BYTES + GGML_CUDA_AR_COPY_CHUNK_BYTES_MIN - 1) / + GGML_CUDA_AR_COPY_CHUNK_BYTES_MIN); + +struct ggml_cuda_ar_event_slot { + cudaEvent_t app = nullptr; // upstream computation complete + cudaEvent_t cpy[GGML_CUDA_AR_COPY_MAX_CHUNKS] = {}; // copy-engine D2H chunks complete + cudaEvent_t h2d = nullptr; // copy-engine H2Ds complete (handoff AR stream -> compute stream) + cudaEvent_t ker = nullptr; // AllReduce kernel complete +}; + +// Mapped pinned host allocation: cudaHostAlloc + cudaHostGetDevicePointer +// in one place, with the host handle preserved for cudaFreeHost. Used where +// the CPU never touches the buffer -- only the device reads/writes via the +// mapped device pointer. Required on systems where cudaDevAttrCanUseHost- +// PointerForRegisteredMem is 0 and the host pointer can't be used as a +// device pointer. +struct ggml_cuda_ar_host_mapping { + uint8_t * host = nullptr; // cudaFreeHost handle; also the H-side ptr for cudaMemcpyAsync + uint8_t * dev = nullptr; // device-side pointer for kernels / cudaMemset + + cudaError_t alloc(size_t bytes) { + cudaError_t rc = cudaHostAlloc(reinterpret_cast(&host), bytes, + cudaHostAllocPortable | cudaHostAllocMapped); + if (rc != cudaSuccess) { + host = nullptr; + return rc; + } + rc = cudaHostGetDevicePointer(reinterpret_cast(&dev), host, 0); + if (rc != cudaSuccess) { + cudaFreeHost(host); + host = nullptr; + dev = nullptr; + } + return rc; + } + + void free() { + if (host) { + cudaFreeHost(host); + host = nullptr; + dev = nullptr; + } + } +}; + +struct ggml_cuda_ar_pipeline { + int n_devices; + int devices[GGML_CUDA_MAX_DEVICES]; + size_t buf_bytes; // bytes per device in host_buf[] + size_t copy_bytes; // bytes per device in host_large[] / dev_tmp[] + size_t copy_threshold; + size_t copy_chunk_bytes; + size_t bf16_threshold; // tensors >= this size (bytes) are reduced via FP32->BF16 round-trip; 0 disables + uint64_t call_count; + + // Per-device resources. + ggml_cuda_ar_host_mapping host_buf[GGML_CUDA_MAX_DEVICES]; // pinned staging (chunked kernel) + ggml_cuda_ar_host_mapping host_large[GGML_CUDA_MAX_DEVICES]; // pinned staging (copy-engine) + char * dev_tmp[GGML_CUDA_MAX_DEVICES]; // device scratch for copy-engine path + cudaStream_t streams[GGML_CUDA_MAX_DEVICES]; // non-blocking + ggml_cuda_ar_event_slot ev_pool[GGML_CUDA_MAX_DEVICES][GGML_CUDA_AR_POOL_SIZE]; + + // Copy-engine: per-device "I finished reading my peer's host_large" + // event. Indexed by RECORDER device. Recorded same-device on streams[i] + // after stage 2's last H2D from host_large[peer]. Waited cross-device + // by peer's stage-1 stream before the next AR overwrites host_large[peer]. + cudaEvent_t host_large_read_done[GGML_CUDA_MAX_DEVICES]; + bool host_large_read_done_valid; + + // Copy-engine: per-device "my add_kernel is done with dev_tmp" event. + // Recorded on the compute stream after each add_kernel; the AR stream + // waits on it before the next copy_impl's H2D overwrites dev_tmp. Lets us + // single-buffer dev_tmp despite add_kernel running on a separate stream. + cudaEvent_t dev_tmp_kernel_done[GGML_CUDA_MAX_DEVICES]; + bool dev_tmp_kernel_done_valid; + + // Arrival ring: ARRIVAL_STRIDE bytes between adjacent ints. Mapped pinned + // memory; CPU never reads/writes -- only the kernel and cudaMemset. + // Use ggml_cuda_ar_arrival_ptr() to index. + ggml_cuda_ar_host_mapping arrival; +}; + +// Base pointer for the (slot, rank) per-block token block. The kernel adds +// blockIdx.x * (ARRIVAL_STRIDE/sizeof(int)) internally to land on its own slot. +static int * ggml_cuda_ar_arrival_ptr(const ggml_cuda_ar_pipeline * p, int slot, int rank) { + const size_t offset = ((size_t)slot * p->n_devices + rank) * + GGML_CUDA_AR_KERNEL_BLOCKS * GGML_CUDA_AR_ARRIVAL_STRIDE; + return reinterpret_cast(p->arrival.dev + offset); +} + +static uint64_t ggml_cuda_ar_env_u64(const char * name, uint64_t default_value) { + const char * value = getenv(name); + if (value == nullptr || value[0] == '\0') { + return default_value; + } + + char * end = nullptr; + const unsigned long long parsed = strtoull(value, &end, 10); + return end != value ? (uint64_t) parsed : default_value; +} + +struct ggml_cuda_ar_slot_info { + int slot; + int token; +}; + +static ggml_cuda_ar_slot_info ggml_cuda_ar_acquire_slot(ggml_cuda_ar_pipeline * p) { + const int slot = static_cast(p->call_count % GGML_CUDA_AR_POOL_SIZE); + const bool pool_lapped = p->call_count >= GGML_CUDA_AR_POOL_SIZE; + p->call_count++; + + if (pool_lapped) { + for (int i = 0; i < p->n_devices; ++i) { + ggml_cuda_set_device(p->devices[i]); + CUDA_CHECK(cudaEventSynchronize(p->ev_pool[i][slot].ker)); + } + } + + return { slot, (int) p->call_count }; +} + +// Per-AR copy-engine chunk size: env-var override if set, else heuristic +// (clamp(nbytes/4, HEURISTIC_MIN, HEURISTIC_MAX)). +static size_t ggml_cuda_ar_chunk_bytes(const ggml_cuda_ar_pipeline * p, size_t nbytes) { + if (p->copy_chunk_bytes > 0) { + return p->copy_chunk_bytes; + } + return std::min(GGML_CUDA_AR_COPY_CHUNK_BYTES_HEURISTIC_MAX, + std::max(GGML_CUDA_AR_COPY_CHUNK_BYTES_HEURISTIC_MIN, nbytes / 4)); +} + +static void ggml_cuda_ar_wait_for_compute( + ggml_cuda_ar_pipeline * p, ggml_backend_cuda_context * cuda_ctx, int rank, int slot) { + ggml_cuda_ar_event_slot & ev = p->ev_pool[rank][slot]; + CUDA_CHECK(cudaEventRecord(ev.app, cuda_ctx->stream())); + CUDA_CHECK(cudaStreamWaitEvent(p->streams[rank], ev.app)); +} + +// --------------------------------------------------------------------------- +// Init / free +// --------------------------------------------------------------------------- + +ggml_cuda_ar_pipeline * ggml_cuda_ar_pipeline_init(const int * devices, size_t n_devices) { + + if (n_devices != 2) { + GGML_LOG_DEBUG("%s: internal AllReduce only supports n_devices=2 (got %zu); " + "falling back\n", __func__, n_devices); + return nullptr; + } + + // The chunked kernel uses __nanosleep, which is sm70+ (Volta+). + for (size_t i = 0; i < n_devices; ++i) { + const int cc = ggml_cuda_info().devices[devices[i]].cc; + if (cc < GGML_CUDA_CC_VOLTA) { + GGML_LOG_DEBUG("%s: internal AllReduce requires compute capability >= %d " + "(device %d has cc=%d); falling back\n", + __func__, GGML_CUDA_CC_VOLTA, devices[i], cc); + return nullptr; + } + } + + auto * p = new ggml_cuda_ar_pipeline{}; + p->n_devices = n_devices; + p->copy_bytes = GGML_CUDA_AR_COPY_MAX_BYTES; + p->copy_threshold = ggml_cuda_ar_env_u64("GGML_CUDA_AR_COPY_THRESHOLD", GGML_CUDA_AR_COPY_THRESHOLD_DEFAULT); + // 0 = use the per-call heuristic (default). Non-zero env value forces a + // fixed chunk size for diagnostics, with a floor at COPY_CHUNK_BYTES_MIN. + p->copy_chunk_bytes = ggml_cuda_ar_env_u64("GGML_CUDA_AR_COPY_CHUNK_BYTES", 0); + if (p->copy_chunk_bytes > 0 && p->copy_chunk_bytes < GGML_CUDA_AR_COPY_CHUNK_BYTES_MIN) { + GGML_LOG_WARN("%s: GGML_CUDA_AR_COPY_CHUNK_BYTES=%zu below minimum %zu; clamping\n", + __func__, p->copy_chunk_bytes, GGML_CUDA_AR_COPY_CHUNK_BYTES_MIN); + p->copy_chunk_bytes = GGML_CUDA_AR_COPY_CHUNK_BYTES_MIN; + } + // Default 1: BF16 round-trip is always on for F32 inputs (any non-zero + // ne). Set GGML_CUDA_AR_BF16_THRESHOLD=0 to disable, or to a larger + // byte threshold to opt out for small tensors. + p->bf16_threshold = ggml_cuda_ar_env_u64("GGML_CUDA_AR_BF16_THRESHOLD", 1); + for (size_t i = 0; i < n_devices; ++i) { + p->devices[i] = devices[i]; + } + + // Per-device streams and event pools. + for (size_t i = 0; i < n_devices; ++i) { + ggml_cuda_set_device(p->devices[i]); + + cudaStream_t stream = nullptr; + if (cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking) != cudaSuccess) { + GGML_LOG_ERROR("%s: cudaStreamCreateWithFlags failed for device %d\n", + __func__, p->devices[i]); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + p->streams[i] = stream; + + for (int s = 0; s < GGML_CUDA_AR_POOL_SIZE; ++s) { + bool ok = + cudaEventCreateWithFlags(&p->ev_pool[i][s].app, cudaEventDisableTiming) == cudaSuccess && + cudaEventCreateWithFlags(&p->ev_pool[i][s].h2d, cudaEventDisableTiming) == cudaSuccess && + cudaEventCreateWithFlags(&p->ev_pool[i][s].ker, cudaEventDisableTiming) == cudaSuccess; + for (int c = 0; ok && c < GGML_CUDA_AR_COPY_MAX_CHUNKS; ++c) { + ok = cudaEventCreateWithFlags(&p->ev_pool[i][s].cpy[c], cudaEventDisableTiming) == cudaSuccess; + } + if (!ok) { + GGML_LOG_ERROR("%s: cudaEventCreate failed for device %d slot %d\n", + __func__, p->devices[i], s); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + } + + if (cudaEventCreateWithFlags(&p->host_large_read_done[i], cudaEventDisableTiming) != cudaSuccess) { + GGML_LOG_ERROR("%s: cudaEventCreate for host_large_read_done failed for device %d\n", + __func__, p->devices[i]); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + if (cudaEventCreateWithFlags(&p->dev_tmp_kernel_done[i], cudaEventDisableTiming) != cudaSuccess) { + GGML_LOG_ERROR("%s: cudaEventCreate for dev_tmp_kernel_done failed for device %d\n", + __func__, p->devices[i]); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + } + + // Arrival ring: cache-line padded so each GPU's int is on its own line. + const size_t arrival_bytes = + (size_t)GGML_CUDA_AR_POOL_SIZE * n_devices * + GGML_CUDA_AR_KERNEL_BLOCKS * GGML_CUDA_AR_ARRIVAL_STRIDE; + if (p->arrival.alloc(arrival_bytes) != cudaSuccess) { + GGML_LOG_ERROR("%s: alloc for arrival ring failed (%zu bytes)\n", + __func__, arrival_bytes); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + ggml_cuda_set_device(p->devices[0]); + if (cudaMemset(p->arrival.dev, 0, arrival_bytes) != cudaSuccess) { + GGML_LOG_ERROR("%s: cudaMemset for arrival ring failed (%zu bytes)\n", + __func__, arrival_bytes); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + + // Per-device pinned staging buffers -- POOL_SIZE-deep ring so the chunked- + // kernel can write the next slot's data while the peer is still reading + // the previous slot's. Indexed by (slot * buf_bytes) at the call site. + p->buf_bytes = GGML_CUDA_AR_MAX_BYTES; + const size_t host_buf_total = (size_t) GGML_CUDA_AR_POOL_SIZE * p->buf_bytes; + for (size_t i = 0; i < n_devices; ++i) { + if (p->host_buf[i].alloc(host_buf_total) != cudaSuccess) { + GGML_LOG_ERROR("%s: alloc for staging failed (%zu bytes)\n", + __func__, host_buf_total); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + } + + // Copy-engine path: pinned host staging + device scratch, sized for the + // largest tensor we accept on this path (GGML_CUDA_AR_COPY_MAX_BYTES). + // dev_tmp is single-buffered; cross-AR safety is enforced by an explicit + // cross-stream wait in copy_impl on the prior AR's add_kernel-done event. + for (size_t i = 0; i < n_devices; ++i) { + ggml_cuda_set_device(p->devices[i]); + if (p->host_large[i].alloc(p->copy_bytes) != cudaSuccess) { + GGML_LOG_ERROR("%s: alloc for large staging failed (%zu bytes)\n", + __func__, p->copy_bytes); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + if (cudaMalloc(reinterpret_cast(&p->dev_tmp[i]), p->copy_bytes) != cudaSuccess) { + GGML_LOG_ERROR("%s: cudaMalloc for copy scratch failed (%zu bytes) on device %d\n", + __func__, p->copy_bytes, p->devices[i]); + ggml_cuda_ar_pipeline_free(p); + return nullptr; + } + } + + GGML_LOG_INFO("%s: initialized AllReduce pipeline: %zu GPUs, " + "%zu KB chunked kernel staging + %zu MB copy-engine staging per GPU\n", + __func__, n_devices, p->buf_bytes >> 10, p->copy_bytes >> 20); + + return p; +} + +void ggml_cuda_ar_pipeline_free(ggml_cuda_ar_pipeline * p) { + if (!p) { + return; + } + + // Drain all in-flight kernels before tearing down resources. + for (int i = 0; i < p->n_devices; ++i) { + if (p->streams[i]) { + ggml_cuda_set_device(p->devices[i]); + cudaStreamSynchronize(p->streams[i]); + } + } + + for (int i = 0; i < p->n_devices; ++i) { + p->host_buf[i].free(); + p->host_large[i].free(); + if (p->dev_tmp[i]) { + ggml_cuda_set_device(p->devices[i]); + cudaFree(p->dev_tmp[i]); + } + ggml_cuda_set_device(p->devices[i]); + for (int s = 0; s < GGML_CUDA_AR_POOL_SIZE; ++s) { + if (p->ev_pool[i][s].app) { cudaEventDestroy(p->ev_pool[i][s].app); } + for (int c = 0; c < GGML_CUDA_AR_COPY_MAX_CHUNKS; ++c) { + if (p->ev_pool[i][s].cpy[c]) { cudaEventDestroy(p->ev_pool[i][s].cpy[c]); } + } + if (p->ev_pool[i][s].h2d) { cudaEventDestroy(p->ev_pool[i][s].h2d); } + if (p->ev_pool[i][s].ker) { cudaEventDestroy(p->ev_pool[i][s].ker); } + } + if (p->host_large_read_done[i]) { + ggml_cuda_set_device(p->devices[i]); + cudaEventDestroy(p->host_large_read_done[i]); + } + if (p->dev_tmp_kernel_done[i]) { + ggml_cuda_set_device(p->devices[i]); + cudaEventDestroy(p->dev_tmp_kernel_done[i]); + } + if (p->streams[i]) { + ggml_cuda_set_device(p->devices[i]); + cudaStreamDestroy(p->streams[i]); + } + } + p->arrival.free(); + delete p; +} + +// --------------------------------------------------------------------------- +// Dispatch +// --------------------------------------------------------------------------- + +// Asymmetric copy_impl: data sent over PCIe in T_src precision (one element of +// nbytes per ne element); accumulated locally into a T_dst buffer. When +// T_src == T_dst this is the original homogeneous reduction. When they differ +// (e.g. BF16 wire / F32 accumulator) the add kernel rounds dst through T_src +// for bit-equivalence between GPUs and we skip the otherwise-needed +// post-conversion entirely. +template +static bool ggml_cuda_ar_allreduce_copy_impl( + ggml_cuda_ar_pipeline * p, + ggml_backend_t * backends, + T_src * const src_buf[GGML_CUDA_MAX_DEVICES], + T_dst * const dst_buf[GGML_CUDA_MAX_DEVICES], + const bool compute[GGML_CUDA_MAX_DEVICES], + int64_t ne, + size_t nbytes) { + GGML_ASSERT(p->n_devices == 2); + GGML_ASSERT(nbytes <= p->copy_bytes); + GGML_ASSERT(ne <= std::numeric_limits::max()); + + const size_t chunk_bytes = ggml_cuda_ar_chunk_bytes(p, nbytes); + GGML_ASSERT(chunk_bytes > 0); + + const int slot = ggml_cuda_ar_acquire_slot(p).slot; + const size_t copy_chunks = (nbytes + chunk_bytes - 1) / chunk_bytes; + GGML_ASSERT(copy_chunks <= GGML_CUDA_AR_COPY_MAX_CHUNKS); + + ggml_backend_cuda_context * cuda_ctx[2] = {}; + + // Stage 1: both GPUs copy their local contribution to pinned host memory. + for (int i = 0; i < 2; ++i) { + ggml_cuda_set_device(p->devices[i]); + cuda_ctx[i] = static_cast(backends[i]->context); + GGML_ASSERT(cuda_ctx[i]->device == p->devices[i]); + + ggml_cuda_ar_wait_for_compute(p, cuda_ctx[i], i, slot); + + // Wait for peer's H2D from our host_large[i] (recorded in the + // previous AR's stage 2) to complete before we overwrite host_large[i]. + // host_large_read_done[peer] = peer finished reading host_large[i]. + // No-op on the first AR -- no prior record exists. + if (p->host_large_read_done_valid) { + const int peer = 1 - i; + CUDA_CHECK(cudaStreamWaitEvent(p->streams[i], p->host_large_read_done[peer])); + } + + if (!compute[i]) { + CUDA_CHECK(cudaMemsetAsync(src_buf[i], 0, nbytes, p->streams[i])); + } + + for (size_t c = 0; c < copy_chunks; ++c) { + const size_t offset = c * chunk_bytes; + const size_t this_bytes = (nbytes - offset) < chunk_bytes ? + (nbytes - offset) : chunk_bytes; + + CUDA_CHECK(cudaMemcpyAsync( + p->host_large[i].host + offset, reinterpret_cast(src_buf[i]) + offset, this_bytes, + cudaMemcpyDeviceToHost, p->streams[i])); + CUDA_CHECK(cudaEventRecord(p->ev_pool[i][slot].cpy[c], p->streams[i])); + } + } + + // Stage 2: each GPU waits for each peer D2H chunk, pulls that chunk back to + // local device scratch (dev_tmp), then performs one device-local add over + // the assembled peer tensor. The H2Ds run on the AR stream (copy engine) + // and the add_kernel runs on the caller's compute stream, so the AR stream + // stays pure-copy and avoids an in-stream copy->compute engine switch every + // AR. dev_tmp is single-buffered: the AR stream waits cross-stream on the + // prior AR's add_kernel-done event before overwriting it. + for (int i = 0; i < 2; ++i) { + const int peer = 1 - i; + ggml_cuda_set_device(p->devices[i]); + + // Wait for the previous AR's add_kernel (on the compute stream) to + // finish reading dev_tmp before our H2D overwrites it. No-op on the + // first copy_impl call. + if (p->dev_tmp_kernel_done_valid) { + CUDA_CHECK(cudaStreamWaitEvent(p->streams[i], p->dev_tmp_kernel_done[i])); + } + + for (size_t c = 0; c < copy_chunks; ++c) { + const size_t offset = c * chunk_bytes; + const size_t this_bytes = (nbytes - offset) < chunk_bytes ? + (nbytes - offset) : chunk_bytes; + + CUDA_CHECK(cudaStreamWaitEvent(p->streams[i], p->ev_pool[peer][slot].cpy[c])); + CUDA_CHECK(cudaMemcpyAsync( + p->dev_tmp[i] + offset, p->host_large[peer].host + offset, this_bytes, + cudaMemcpyHostToDevice, p->streams[i])); + } + + // Mark our reads of host_large[peer] complete so peer's next AR can + // safely overwrite it. + CUDA_CHECK(cudaEventRecord(p->host_large_read_done[i], p->streams[i])); + + // Hand off from AR stream (copy engine) to compute stream: compute + // stream waits for all H2Ds to finish, then runs the add_kernel. + CUDA_CHECK(cudaEventRecord(p->ev_pool[i][slot].h2d, p->streams[i])); + CUDA_CHECK(cudaStreamWaitEvent(cuda_ctx[i]->stream(), p->ev_pool[i][slot].h2d)); + + const int block_size = 256; + int n_blocks = (int) ((ne + block_size - 1) / block_size); + if (n_blocks > 1024) { + n_blocks = 1024; + } + ggml_cuda_ar_add_kernel<<stream()>>>( + dst_buf[i], + reinterpret_cast(p->dev_tmp[i]), + (int) ne); + CUDA_CHECK(cudaGetLastError()); + + // Record dev_tmp-released on the compute stream so the next copy_impl + // can wait for the kernel to finish before overwriting dev_tmp. Also + // record AR-done as ev.ker for acquire_slot's pool-wraparound sync. + CUDA_CHECK(cudaEventRecord(p->dev_tmp_kernel_done[i], cuda_ctx[i]->stream())); + CUDA_CHECK(cudaEventRecord(p->ev_pool[i][slot].ker, cuda_ctx[i]->stream())); + } + p->host_large_read_done_valid = true; + p->dev_tmp_kernel_done_valid = true; + + return true; +} + +// Outer-level chunker: copy_impl handles up to copy_bytes per call (limited by +// the host_large / dev_tmp allocation size). When the full AR exceeds that, +// slice the tensor into copy_bytes-sized pieces and call copy_impl repeatedly. +// Each slice goes through its own stage 1 -> stage 2 cycle and acquires its own +// slot, so cross-AR fences and pool wraparound work the same way as for any +// other sequence of small ARs. +template +static bool ggml_cuda_ar_allreduce_copy_outer( + ggml_cuda_ar_pipeline * p, + ggml_backend_t * backends, + T_src * const src_buf[GGML_CUDA_MAX_DEVICES], + T_dst * const dst_buf[GGML_CUDA_MAX_DEVICES], + const bool compute[GGML_CUDA_MAX_DEVICES], + int64_t ne) { + const int64_t outer_max_elems = (int64_t) (p->copy_bytes / sizeof(T_src)); + GGML_ASSERT(outer_max_elems > 0); + + bool ok = true; + for (int64_t outer_start = 0; outer_start < ne && ok; outer_start += outer_max_elems) { + const int64_t outer_ne = std::min(outer_max_elems, ne - outer_start); + const size_t outer_nbytes = (size_t) outer_ne * sizeof(T_src); + + T_src * src[GGML_CUDA_MAX_DEVICES] = {}; + T_dst * dst[GGML_CUDA_MAX_DEVICES] = {}; + for (int i = 0; i < p->n_devices; ++i) { + src[i] = src_buf[i] + outer_start; + dst[i] = dst_buf[i] + outer_start; + } + ok = ggml_cuda_ar_allreduce_copy_impl( + p, backends, src, dst, compute, outer_ne, outer_nbytes); + } + return ok; +} + +bool ggml_cuda_ar_allreduce( + ggml_cuda_ar_pipeline * p, + ggml_backend_t * backends, + ggml_tensor ** tensors) { + GGML_ASSERT(p != nullptr); + + const int n = p->n_devices; + GGML_ASSERT(n == 2); + + const ggml_type input_type = tensors[0]->type; + GGML_ASSERT(input_type == GGML_TYPE_F32 || input_type == GGML_TYPE_F16 || input_type == GGML_TYPE_BF16); + + const int64_t ne = ggml_nelements(tensors[0]); + GGML_ASSERT(ne > 0); + + const size_t input_nbytes = ggml_nbytes(tensors[0]); + + // BF16 round-trip: F32 inputs >= bf16_threshold are converted to BF16 for + // the reduction (chunked or copy-engine), halving on-wire bytes. Matches + // NCCL's behaviour. The pre-conversion zeroes inactive shards so the + // inner paths see them as already-prepared compute tensors. + const bool use_bf16 = + input_type == GGML_TYPE_F32 && + p->bf16_threshold > 0 && + input_nbytes >= p->bf16_threshold; + + const ggml_type kernel_type = use_bf16 ? GGML_TYPE_BF16 : input_type; + const size_t type_size = ggml_type_size(kernel_type); + GGML_ASSERT(p->buf_bytes >= type_size); + const size_t nbytes = (size_t) ne * type_size; + + bool compute_flag[GGML_CUDA_MAX_DEVICES] = {}; + for (int i = 0; i < n; ++i) { + compute_flag[i] = (tensors[i]->flags & GGML_TENSOR_FLAG_COMPUTE) != 0; + } + + // Decide between copy-engine and chunked kernel paths based on the working + // type's actual byte count. No upper bound: copy_outer slices reductions + // larger than copy_bytes into copy_bytes-sized pieces. + const bool use_copy_engine = + p->copy_threshold > 0 && + nbytes >= p->copy_threshold; + + // BF16 inactive-shard zeroing: when use_bf16 is on, the combined kernel + // (chunked kernel path) and the combined add kernel (copy_engine path) + // both accumulate into the F32 tensor data directly, so an inactive + // shard's accumulator must start at zero. + if (use_bf16) { + for (int i = 0; i < n; ++i) { + if (!compute_flag[i]) { + auto * cuda_ctx = static_cast(backends[i]->context); + GGML_ASSERT(cuda_ctx->device == p->devices[i]); + ggml_cuda_set_device(p->devices[i]); + CUDA_CHECK(cudaMemsetAsync(tensors[i]->data, 0, (size_t) ne * sizeof(float), cuda_ctx->stream())); + } + } + } + + // Pre-convert F32 -> BF16 into bf16_tmp ONLY for the copy_engine + use_bf16 + // path; the chunked kernel path's combined kernel does the conversion + // inline as it writes to host_buf. + ggml_cuda_pool_alloc bf16_tmp[GGML_CUDA_MAX_DEVICES]; + void * copy_src_ptr[GGML_CUDA_MAX_DEVICES] = {}; + + if (use_copy_engine && use_bf16) { + to_bf16_cuda_t to_bf16 = ggml_get_to_bf16_cuda(GGML_TYPE_F32); + for (int i = 0; i < n; ++i) { + auto * cuda_ctx = static_cast(backends[i]->context); + GGML_ASSERT(cuda_ctx->device == p->devices[i]); + bf16_tmp[i].pool = &cuda_ctx->pool(); + bf16_tmp[i].alloc(ne); + ggml_cuda_set_device(p->devices[i]); + if (compute_flag[i]) { + to_bf16(tensors[i]->data, bf16_tmp[i].get(), ne, cuda_ctx->stream()); + CUDA_CHECK(cudaGetLastError()); + } else { + CUDA_CHECK(cudaMemsetAsync(bf16_tmp[i].get(), 0, nbytes, cuda_ctx->stream())); + } + copy_src_ptr[i] = bf16_tmp[i].get(); + } + } + + bool ok = true; + if (use_copy_engine) { + // After up-front BF16 conversion, the tmp buffers already hold the + // (possibly zeroed-for-inactive) data, so the inner path can treat + // every shard as compute. + bool inner_compute[GGML_CUDA_MAX_DEVICES]; + for (int i = 0; i < n; ++i) { + inner_compute[i] = use_bf16 ? true : compute_flag[i]; + } + + // Dispatch into copy_impl with explicit src/dst types. When use_bf16 + // is on, the wire type is BF16 (src = bf16_tmp) and the accumulator + // is F32 (dst = tensors[i]->data); the combined add kernel rounds dst + // through BF16 for bit-equivalence and writes F32 directly, so no + // post-conversion is needed. Otherwise src == dst (same native type). + if (use_bf16) { + GGML_ASSERT(kernel_type == GGML_TYPE_BF16); + nv_bfloat16 * src[GGML_CUDA_MAX_DEVICES] = {}; + float * dst[GGML_CUDA_MAX_DEVICES] = {}; + for (int i = 0; i < n; ++i) { + src[i] = static_cast(copy_src_ptr[i]); + dst[i] = static_cast(tensors[i]->data); + } + ok = ggml_cuda_ar_allreduce_copy_outer( + p, backends, src, dst, inner_compute, ne); + } else { + switch (kernel_type) { + case GGML_TYPE_F32: { + float * buf[GGML_CUDA_MAX_DEVICES] = {}; + for (int i = 0; i < n; ++i) { + buf[i] = static_cast(tensors[i]->data); + } + ok = ggml_cuda_ar_allreduce_copy_outer( + p, backends, buf, buf, inner_compute, ne); + break; + } + case GGML_TYPE_BF16: { + nv_bfloat16 * buf[GGML_CUDA_MAX_DEVICES] = {}; + for (int i = 0; i < n; ++i) { + buf[i] = static_cast(tensors[i]->data); + } + ok = ggml_cuda_ar_allreduce_copy_outer( + p, backends, buf, buf, inner_compute, ne); + break; + } + case GGML_TYPE_F16: { + half * buf[GGML_CUDA_MAX_DEVICES] = {}; + for (int i = 0; i < n; ++i) { + buf[i] = static_cast(tensors[i]->data); + } + ok = ggml_cuda_ar_allreduce_copy_outer( + p, backends, buf, buf, inner_compute, ne); + break; + } + default: + GGML_ASSERT(false); + } + } + } else { + // host_buf carries T_wire-typed data; max_chunk_elems is the count that + // fits in one host_buf at the wire size. + const size_t max_chunk_elems = p->buf_bytes / type_size; + const size_t input_type_size = ggml_type_size(input_type); + + // Chunked kernel path runs entirely on the caller's compute stream: + // since AR is a barrier here, same-stream ordering subsumes any + // cross-stream event handshake that the copy-engine path needs, and + // skips the cross-stream scheduling overhead that was hurting the + // small-tensor (tg) latency on the AR-stream variant. Only ev.ker is + // still recorded at end-of-AR for acquire_slot's pool-wraparound check. + for (int64_t chunk_start = 0; chunk_start < ne; chunk_start += (int64_t) max_chunk_elems) { + const size_t remaining_elems = (size_t) (ne - chunk_start); + const size_t chunk_elems = remaining_elems < max_chunk_elems ? remaining_elems : max_chunk_elems; + const size_t chunk_dst_bytes = chunk_elems * input_type_size; + + const auto [slot, token] = ggml_cuda_ar_acquire_slot(p); + const bool last_chunk = chunk_start + (int64_t) chunk_elems == ne; + + for (int i = 0; i < n; ++i) { + const int peer = 1 - i; // valid for n == 2 only + ggml_cuda_set_device(p->devices[i]); + auto * cuda_ctx = static_cast(backends[i]->context); + GGML_ASSERT(cuda_ctx->device == p->devices[i]); + cudaStream_t stream = cuda_ctx->stream(); + + char * data = static_cast(tensors[i]->data) + chunk_start * (int64_t) input_type_size; + + // Match NCCL/meta-backend semantics: inactive shards contribute + // zeros. On the BF16 path the F32 tensor data was already + // zeroed up-front (above), so per-chunk zeroing isn't needed. + if (!compute_flag[i] && !use_bf16) { + CUDA_CHECK(cudaMemsetAsync(data, 0, chunk_dst_bytes, stream)); + } + +#define LAUNCH_AR_KERNEL(T_dst, T_wire) \ + ggml_cuda_ar_kernel<<>>( \ + reinterpret_cast(data), \ + reinterpret_cast(data), \ + reinterpret_cast(p->host_buf[i].dev + (size_t) slot * p->buf_bytes), \ + reinterpret_cast(p->host_buf[peer].dev + (size_t) slot * p->buf_bytes), \ + static_cast(chunk_elems), \ + ggml_cuda_ar_arrival_ptr(p, slot, i), \ + ggml_cuda_ar_arrival_ptr(p, slot, peer), \ + token) + + if (use_bf16) { + GGML_ASSERT(input_type == GGML_TYPE_F32); + LAUNCH_AR_KERNEL(float, nv_bfloat16); + } else { + switch (input_type) { + case GGML_TYPE_F32: LAUNCH_AR_KERNEL(float, float); break; + case GGML_TYPE_F16: LAUNCH_AR_KERNEL(half, half); break; + case GGML_TYPE_BF16: LAUNCH_AR_KERNEL(nv_bfloat16, nv_bfloat16); break; + default: GGML_ASSERT(false); + } + } + +#undef LAUNCH_AR_KERNEL + CUDA_CHECK(cudaGetLastError()); + + if (last_chunk) { + CUDA_CHECK(cudaEventRecord(p->ev_pool[i][slot].ker, stream)); + } + } + } + } + + return ok; +} + +#else // defined(GGML_USE_HIP) || defined(GGML_USE_MUSA) + +// HIP and MUSA lack the host-mapped pinned-memory APIs (cudaHostAllocPortable +// / cudaHostAllocMapped / cudaHostGetDevicePointer) and __nanosleep that this +// implementation relies on, so the internal AllReduce is a CUDA-only feature. +// The dispatcher in ggml-cuda.cu treats a nullptr pipeline as "init failed" +// and silently falls back to the meta backend's generic AllReduce. +ggml_cuda_ar_pipeline * ggml_cuda_ar_pipeline_init(const int *, size_t) { + return nullptr; +} +void ggml_cuda_ar_pipeline_free(ggml_cuda_ar_pipeline *) { +} +bool ggml_cuda_ar_allreduce(ggml_cuda_ar_pipeline *, ggml_backend_t *, ggml_tensor **) { + return false; +} + +#endif // !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA) diff --git a/ggml/src/ggml-cuda/allreduce.cuh b/ggml/src/ggml-cuda/allreduce.cuh new file mode 100644 index 0000000000..0f2c9518d5 --- /dev/null +++ b/ggml/src/ggml-cuda/allreduce.cuh @@ -0,0 +1,29 @@ +#pragma once + +#include "common.cuh" +#include "ggml-backend-impl.h" + +#include + +// Opaque pipeline context -- owns all pinned buffers, streams, and events. +struct ggml_cuda_ar_pipeline; + +// Allocate a pipeline for n_devices GPUs. +// devices[] holds the CUDA device IDs in rank order. +// Returns nullptr on allocation failure. +ggml_cuda_ar_pipeline * ggml_cuda_ar_pipeline_init( + const int * devices, size_t n_devices); + +// Release all resources owned by the pipeline. +void ggml_cuda_ar_pipeline_free(ggml_cuda_ar_pipeline * pipeline); + +// Execute an in-place AllReduce (sum) across tensors[0..n_devices-1]. +// tensors[i] must live on the device managed by backends[i] and be +// contiguous F32, F16, or BF16. +// Preconditions are checked by the CUDA comm dispatcher before calling this. +// Returns true once the reduction work has been enqueued successfully. +bool ggml_cuda_ar_allreduce( + ggml_cuda_ar_pipeline * pipeline, + ggml_backend_t * backends, + ggml_tensor ** tensors); + diff --git a/ggml/src/ggml-cuda/argsort.cu b/ggml/src/ggml-cuda/argsort.cu index 0f3f017b53..c4f08091e7 100644 --- a/ggml/src/ggml-cuda/argsort.cu +++ b/ggml/src/ggml-cuda/argsort.cu @@ -4,6 +4,7 @@ # include # if (CCCL_MAJOR_VERSION >= 3 && CCCL_MINOR_VERSION >= 1) # define STRIDED_ITERATOR_AVAILABLE +# include # endif using namespace cub; #endif // GGML_CUDA_USE_CUB diff --git a/ggml/src/ggml-cuda/fattn-mma-f16.cuh b/ggml/src/ggml-cuda/fattn-mma-f16.cuh index 3f01e858de..43e22c5e5e 100644 --- a/ggml/src/ggml-cuda/fattn-mma-f16.cuh +++ b/ggml/src/ggml-cuda/fattn-mma-f16.cuh @@ -61,6 +61,11 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co GGML_CUDA_FATTN_MMA_CONFIG_CASE(128, 128, 32, 128, 2, 64, 64, 64, 64, 2, true); GGML_CUDA_FATTN_MMA_CONFIG_CASE(128, 128, 64, 128, 2, 64, 64, 64, 64, 2, true); + GGML_CUDA_FATTN_MMA_CONFIG_CASE(192, 128, 8, 64, 4, 64, 96, 64, 64, 2, true); + GGML_CUDA_FATTN_MMA_CONFIG_CASE(192, 128, 16, 64, 4, 32, 96, 64, 64, 2, true); + GGML_CUDA_FATTN_MMA_CONFIG_CASE(192, 128, 32, 128, 2, 32, 96, 64, 64, 2, true); + GGML_CUDA_FATTN_MMA_CONFIG_CASE(192, 128, 64, 128, 2, 32, 96, 64, 64, 2, true); + GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 8, 64, 4, 64, 128, 128, 128, 2, true); GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 16, 64, 4, 32, 128, 128, 128, 2, true); GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2, 32, 128, 128, 128, 2, true); @@ -1561,6 +1566,10 @@ static __global__ void flash_attn_ext_f16( NO_DEVICE_CODE; return; } + if (DKQ == 192 && ncols2 != 8 && ncols2 != 16) { + NO_DEVICE_CODE; + return; + } #ifdef VOLTA_MMA_AVAILABLE if (ncols1*ncols2 < 32) { NO_DEVICE_CODE; diff --git a/ggml/src/ggml-cuda/fattn-tile.cu b/ggml/src/ggml-cuda/fattn-tile.cu index d60634cc0e..c8281497d1 100644 --- a/ggml/src/ggml-cuda/fattn-tile.cu +++ b/ggml/src/ggml-cuda/fattn-tile.cu @@ -34,6 +34,10 @@ void ggml_cuda_flash_attn_ext_tile(ggml_backend_cuda_context & ctx, ggml_tensor GGML_ASSERT(V->ne[0] == K->ne[0]); ggml_cuda_flash_attn_ext_tile_case<128, 128>(ctx, dst); } break; + case 192: { + GGML_ASSERT(V->ne[0] == 128); + ggml_cuda_flash_attn_ext_tile_case<192, 128>(ctx, dst); + } break; case 256: { GGML_ASSERT(V->ne[0] == K->ne[0]); ggml_cuda_flash_attn_ext_tile_case<256, 256>(ctx, dst); diff --git a/ggml/src/ggml-cuda/fattn-tile.cuh b/ggml/src/ggml-cuda/fattn-tile.cuh index fa795c8fd7..61d945aaf2 100644 --- a/ggml/src/ggml-cuda/fattn-tile.cuh +++ b/ggml/src/ggml-cuda/fattn-tile.cuh @@ -62,13 +62,19 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_nv GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 2, 64, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 4, 128, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 8, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 16, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 32, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 2, 64, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 64, 64) - GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 32, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 16, 256, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 4, 128, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 8, 256, 2, 64, 64) @@ -124,13 +130,19 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_nv GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 16, 128, 3, 32, 128) GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 2, 128, 3, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 4, 128, 3, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 8, 256, 2, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 16, 256, 2, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 32, 256, 2, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 2, 128, 3, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 3, 32, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 32, 256) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 32, 128) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 32, 64) - GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 32, 256, 2, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 16, 256, 2, 32, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 4, 128, 2, 32, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 8, 256, 2, 32, 64) @@ -193,6 +205,12 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_am GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 2, 64, 32) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 2, 256, 2, 128, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 4, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 8, 256, 2, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 16, 256, 2, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 32, 256, 2, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 2, 256, 2, 128, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 4, 256, 2, 64, 128) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 64, 128) @@ -264,6 +282,12 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_am GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 3, 128, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 3, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 2, 64, 8, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 4, 128, 6, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 8, 128, 6, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 16, 256, 5, 32, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(192, 128, 32, 256, 3, 64, 64) + GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 2, 64, 8, 32, 64) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 6, 32, 256) GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 8, 128, 6, 32, 256) @@ -1126,7 +1150,7 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_cuda_context & ctx, ggm constexpr size_t nbytes_shared = 0; #ifdef GGML_USE_HIP - if constexpr (DV <= 128) { + if constexpr (DKQ <= 128) { if (Q->ne[1] > 32/ncols2) { constexpr int cols_per_block = 64; const int nwarps = ggml_cuda_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; @@ -1140,7 +1164,7 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_cuda_context & ctx, ggm #endif // GGML_USE_HIP #ifndef GGML_USE_HIP - if constexpr (DV <= 256) + if constexpr (DKQ <= 256) #endif // GGML_USE_HIP { if (Q->ne[1] > 16/ncols2) { @@ -1222,11 +1246,22 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm const int gqa_limit = nvidia && gqa_ratio <= 4 && DV <= 256 ? 16 : INT_MAX; const bool use_gqa_opt = mask && max_bias == 0.0f && Q->ne[1] <= gqa_limit && K->ne[1] % FATTN_KQ_STRIDE == 0; - if constexpr (DKQ == 320) { // Mistral Small 4 + if constexpr (DKQ == 320) { + // This branch is only used for Mistral Small 4 which has a GQA ratio of 32. + // On AMD, simply use that GQA ratio with 32 columns / block since we always have enough SRAM. + // On NVIDIA however, the tile kernel is only used for GPUs that can't use the mma kernel (Pascal and older). + // Therefore, use a GQA ratio of 16 with 16 columns / block to stay below 48 kiB of SRAM / block. +#ifdef GGML_USE_HIP if (use_gqa_opt && gqa_ratio % 32 == 0) { launch_fattn_tile_switch_ncols1(ctx, dst); return; } +#else + if (use_gqa_opt && gqa_ratio % 16 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } +#endif // GGML_USE_HIP GGML_ABORT("flash-attn tile (320/256): expected GQA ratio multiple of 32"); } @@ -1241,7 +1276,20 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm } } - if constexpr (DKQ <= 512 && DKQ != 320) { + if constexpr (DKQ == 192) { + // MiMo-V2.5 / V2.5-Pro / V2-Flash: gqa_ratio is 8 (SWA) or 16 (full attn) + if (use_gqa_opt && gqa_ratio % 16 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + if (use_gqa_opt && gqa_ratio % 8 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + GGML_ABORT("flash-attn tile (192/128): expected GQA ratio multiple of 8"); + } + + if constexpr (DKQ <= 512 && DKQ != 320 && DKQ != 192) { if (use_gqa_opt && gqa_ratio % 8 == 0) { launch_fattn_tile_switch_ncols1(ctx, dst); return; @@ -1294,6 +1342,7 @@ extern DECL_FATTN_TILE_CASE( 80, 80); extern DECL_FATTN_TILE_CASE( 96, 96); extern DECL_FATTN_TILE_CASE(112, 112); extern DECL_FATTN_TILE_CASE(128, 128); +extern DECL_FATTN_TILE_CASE(192, 128); extern DECL_FATTN_TILE_CASE(256, 256); extern DECL_FATTN_TILE_CASE(320, 256); extern DECL_FATTN_TILE_CASE(512, 512); diff --git a/ggml/src/ggml-cuda/fattn.cu b/ggml/src/ggml-cuda/fattn.cu index 8256591b21..e045b04f72 100644 --- a/ggml/src/ggml-cuda/fattn.cu +++ b/ggml/src/ggml-cuda/fattn.cu @@ -139,6 +139,22 @@ static void ggml_cuda_flash_attn_ext_mma_f16(ggml_backend_cuda_context & ctx, gg GGML_ASSERT(V->ne[0] == 128); ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2<128, 128>(ctx, dst); break; + case 192: { + // MiMo-V2.5 / V2.5-Pro / V2-Flash: gqa_ratio is 8 (SWA) or 16 (full attn) + GGML_ASSERT(V->ne[0] == 128); + float max_bias = 0.0f; + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + const bool use_gqa_opt = mask && max_bias == 0.0f; + GGML_ASSERT(use_gqa_opt); + GGML_ASSERT(Q->ne[2] % K->ne[2] == 0); + const int gqa_ratio = Q->ne[2] / K->ne[2]; + if (gqa_ratio % 16 == 0) { + ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<192, 128, 16>(ctx, dst); + } else { + GGML_ASSERT(gqa_ratio % 8 == 0); + ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<192, 128, 8>(ctx, dst); + } + } break; case 256: GGML_ASSERT(V->ne[0] == 256); ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2<256, 256>(ctx, dst); @@ -368,6 +384,14 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const return BEST_FATTN_KERNEL_NONE; } break; + case 192: + if (V->ne[0] != 128 || !gqa_opt_applies) { + return BEST_FATTN_KERNEL_NONE; + } + if (gqa_ratio % 8 != 0) { + return BEST_FATTN_KERNEL_NONE; + } + break; case 320: if (V->ne[0] != 256 || !gqa_opt_applies) { return BEST_FATTN_KERNEL_NONE; @@ -425,7 +449,8 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const } // For small batch sizes the vector kernel may be preferable over the kernels optimized for large batch sizes: - const bool can_use_vector_kernel = Q->ne[0] <= 256 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0; + // 192 satisfies % 64 == 0 but has no vec instance (DKQ != DV); force it onto the MMA path. + const bool can_use_vector_kernel = Q->ne[0] <= 256 && Q->ne[0] % 64 == 0 && Q->ne[0] != 192 && K->ne[1] % FATTN_KQ_STRIDE == 0; // If Turing tensor cores are available, use them: if (turing_mma_available(cc) && Q->ne[0] != 40 && Q->ne[0] != 72) { @@ -454,7 +479,7 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const if (volta_mma_available(cc) && Q->ne[0] != 40 && Q->ne[0] != 72) { int gqa_ratio_eff = 1; - const int ncols2_max = Q->ne[0] == 576 ? 16 : 8; + const int ncols2_max = (Q->ne[0] == 576 || Q->ne[0] == 192) ? 16 : 8; while (gqa_ratio % (2*gqa_ratio_eff) == 0 && gqa_ratio_eff < ncols2_max) { gqa_ratio_eff *= 2; } @@ -468,7 +493,7 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const } // Use the WMMA kernel if possible: - if (ggml_cuda_should_use_wmma_fattn(cc) && K->ne[1] % FATTN_KQ_STRIDE == 0 && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 512 && Q->ne[0] != 576) { + if (ggml_cuda_should_use_wmma_fattn(cc) && K->ne[1] % FATTN_KQ_STRIDE == 0 && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 192 && Q->ne[0] != 512 && Q->ne[0] != 576) { if (can_use_vector_kernel && Q->ne[1] <= 2) { return BEST_FATTN_KERNEL_VEC; } @@ -501,7 +526,7 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const } // Use MFMA flash attention for CDNA (MI100+): - if (amd_mfma_available(cc) && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 256 && Q->ne[0] != 512 && Q->ne[0] != 576) { + if (amd_mfma_available(cc) && Q->ne[0] != 40 && Q->ne[0] != 72 && Q->ne[0] != 192 && Q->ne[0] != 256 && Q->ne[0] != 512 && Q->ne[0] != 576) { const int64_t eff_nq = Q->ne[1] * (gqa_opt_applies ? gqa_ratio : 1); // MMA vs tile crossover benchmarked on MI300X @ d32768: // hsk=64 (gqa=4): MMA wins at eff >= 128 (+11%) diff --git a/ggml/src/ggml-cuda/getrows.cu b/ggml/src/ggml-cuda/getrows.cu index 35e35f1e57..edad6aef9a 100644 --- a/ggml/src/ggml-cuda/getrows.cu +++ b/ggml/src/ggml-cuda/getrows.cu @@ -6,18 +6,19 @@ template static __global__ void k_get_rows( const void * __restrict__ src0, const int32_t * __restrict__ src1, dst_t * __restrict__ dst, const int64_t ne00, /*const int64_t ne01, const int64_t ne02, const int64_t ne03,*/ - /*const int64_t ne10,*/ const int64_t ne11, const int64_t ne12, /*const int64_t ne13,*/ + /*const int64_t ne10,*/ const int64_t ne11, const uint3 ne12_fdv, /*const int64_t ne13,*/ /*const size_t s0,*/ const size_t s1, const size_t s2, const size_t s3, /*const size_t nb00,*/ const size_t nb01, const size_t nb02, const size_t nb03, const size_t s10, const size_t s11, const size_t s12/*, const size_t s13*/) { ggml_cuda_pdl_sync(); - for (int64_t z = blockIdx.z; z < ne11*ne12; z += gridDim.z) { + for (int64_t z = blockIdx.z; z < ne11*(int64_t)ne12_fdv.z; z += gridDim.z) { for (int64_t i00 = 2*(blockIdx.y*blockDim.x + threadIdx.x); i00 < ne00; i00 += gridDim.y*blockDim.x) { // The x and y dimensions of the grid are swapped because the maximum allowed grid size for x is higher. const int i10 = blockIdx.x; - const int i11 = z / ne12; // TODO fastdiv - const int i12 = z % ne12; + const uint2 dm = fast_div_modulo((uint32_t)z, ne12_fdv); + const int i11 = dm.x; + const int i12 = dm.y; const int i01 = src1[i10*s10 + i11*s11 + i12*s12]; @@ -43,19 +44,20 @@ template static __global__ void k_get_rows_float( const src0_t * __restrict__ src0, const int32_t * __restrict__ src1, dst_t * __restrict__ dst, const int64_t ne00, /*const int64_t ne01, const int64_t ne02, const int64_t ne03,*/ - /*const int64_t ne10,*/ const int64_t ne11, const int64_t ne12, /*const int64_t ne13,*/ + /*const int64_t ne10,*/ const int64_t ne11, const uint3 ne12_fdv, /*const int64_t ne13,*/ /*const size_t s0,*/ const size_t s1, const size_t s2, const size_t s3, /*const size_t nb00,*/ const size_t nb01, const size_t nb02, const size_t nb03, const size_t s10, const size_t s11, const size_t s12/*, const size_t s13*/) { ggml_cuda_pdl_lc(); ggml_cuda_pdl_sync(); - for (int64_t z = blockIdx.z; z < ne11*ne12; z += gridDim.z) { + for (int64_t z = blockIdx.z; z < ne11*(int64_t)ne12_fdv.z; z += gridDim.z) { for (int64_t i00 = blockIdx.y*blockDim.x + threadIdx.x; i00 < ne00; i00 += gridDim.y*blockDim.x) { // The x and y dimensions of the grid are swapped because the maximum allowed grid size for x is higher. const int i10 = blockIdx.x; - const int i11 = z / ne12; // TODO fastdiv - const int i12 = z % ne12; + const uint2 dm = fast_div_modulo((uint32_t)z, ne12_fdv); + const int i11 = dm.x; + const int i12 = dm.y; if (i00 >= ne00) { return; @@ -119,10 +121,14 @@ static void get_rows_cuda_q( GGML_ASSERT(ne00 % 2 == 0); + GGML_ASSERT(ne12 > 0); + GGML_ASSERT(ne11 <= std::numeric_limits::max() / ne12); + const uint3 ne12_fdv = init_fastdiv_values(ne12); + k_get_rows<<>>( src0_d, src1_d, dst_d, ne00, /*ne01, ne02, ne03,*/ - /*ne10,*/ ne11, ne12, /*ne13,*/ + /*ne10,*/ ne11, ne12_fdv, /*ne13,*/ /* s0,*/ s1, s2, s3, /* nb00,*/ nb01, nb02, nb03, s10, s11, s12/*, s13*/); @@ -150,11 +156,15 @@ static void get_rows_cuda_float( const size_t s12 = nb12 / sizeof(int32_t); // const size_t s13 = nb13 / sizeof(int32_t); + GGML_ASSERT(ne12 > 0); + GGML_ASSERT(ne11 <= std::numeric_limits::max() / ne12); + const uint3 ne12_fdv = init_fastdiv_values(ne12); + auto launch_params = ggml_cuda_kernel_launch_params{block_nums, block_dims, 0, stream}; ggml_cuda_kernel_launch(k_get_rows_float, launch_params, src0_d, src1_d, dst_d, ne00, /*ne01, ne02, ne03,*/ - /*ne10,*/ ne11, ne12, /*ne13,*/ + /*ne10,*/ ne11, ne12_fdv, /*ne13,*/ /* s0,*/ s1, s2, s3, /* nb00,*/ nb01, nb02, nb03, s10, s11, s12/*, s13*/); diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index fd8dd91714..e25be3592f 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -2,6 +2,7 @@ #include "ggml-impl.h" #include "ggml-backend-impl.h" +#include "ggml-cuda/allreduce.cuh" #include "ggml-cuda/common.cuh" #include "ggml-cuda/acc.cuh" #include "ggml-cuda/add-id.cuh" @@ -39,6 +40,7 @@ #include "ggml-cuda/rope.cuh" #include "ggml-cuda/roll.cuh" #include "ggml-cuda/scale.cuh" +#include "ggml-cuda/snake.cuh" #include "ggml-cuda/softcap.cuh" #include "ggml-cuda/softmax.cuh" #include "ggml-cuda/ssm-conv.cuh" @@ -85,6 +87,9 @@ static_assert(sizeof(half) == sizeof(ggml_fp16_t), "wrong fp16 size"); +#define GGML_LOG_WARN_ONCE(str) \ + { static std::once_flag warn_flag; std::call_once(warn_flag, []() { GGML_LOG_WARN(str); }); } + [[noreturn]] void ggml_cuda_error(const char * stmt, const char * func, const char * file, int line, const char * msg) { int id = -1; // in case cudaGetDevice fails @@ -1138,70 +1143,46 @@ static const ggml_backend_buffer_type_i ggml_backend_cuda_split_buffer_type_inte /* .is_host = */ ggml_backend_cuda_split_buffer_type_is_host, }; -#ifdef GGML_USE_NCCL +// Communication context for multi-GPU AllReduce during tensor parallelism. +// +// Created once per meta backend instance. Resources for the selected mode +// (NCCL communicators or the internal AllReduce pipeline) are initialised +// eagerly during comm_init so any init failure surfaces at startup rather +// than mid-run. struct ggml_backend_cuda_comm_context { + using try_allreduce_fn = bool(*)(ggml_backend_cuda_comm_context *, struct ggml_tensor **); + std::vector backends; - std::vector comms; + std::vector dev_ids; + + // Set by the init chain (comm_init_{nccl, internal, none}) to one of + // try_allreduce_{nccl, internal, butterfly}. nccl needs `comms`, + // internal needs `ar_pipeline`, butterfly needs nothing. Per-call + // failures return false; the meta backend's generic implementation then + // handles that call. + try_allreduce_fn try_allreduce = nullptr; + + ggml_cuda_ar_pipeline * ar_pipeline = nullptr; + +#ifdef GGML_USE_NCCL + std::vector comms; +#endif // GGML_USE_NCCL ~ggml_backend_cuda_comm_context() { +#ifdef GGML_USE_NCCL for (ncclComm_t comm : comms) { NCCL_CHECK(ncclCommDestroy(comm)); } +#endif // GGML_USE_NCCL + ggml_cuda_ar_pipeline_free(ar_pipeline); } }; -#endif // GGML_USE_NCCL -static void ggml_backend_cuda_comm_free(void * comm_ctx_v) { -#ifdef GGML_USE_NCCL - if (comm_ctx_v == nullptr) { - return; - } - ggml_backend_cuda_comm_context * comm_ctx = (ggml_backend_cuda_comm_context *) comm_ctx_v; - delete comm_ctx; -#else - GGML_UNUSED(comm_ctx_v); -#endif // GGML_USE_NCCL -} - -static void * ggml_backend_cuda_comm_init(ggml_backend_t * backends, size_t n_backends) { -#ifdef GGML_USE_NCCL - for (size_t i = 0; i < n_backends; i++) { - if (!ggml_backend_is_cuda(backends[i])) { - return nullptr; - } - } - ggml_backend_cuda_comm_context * ret = new ggml_backend_cuda_comm_context; - std::vector dev_ids; - ret->backends.reserve(n_backends); - dev_ids.reserve(n_backends); - for (size_t i = 0; i < n_backends; i++) { - ret->backends.push_back(backends[i]); - ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backends[i]->context; - dev_ids.push_back(cuda_ctx->device); - } - - ret->comms.resize(n_backends); - NCCL_CHECK(ncclCommInitAll(ret->comms.data(), n_backends, dev_ids.data())); - return ret; -#else - // If NCCL is installed it is used by default for optimal performance. - // However, NVIDIA does not distribute NCCL with CUDA so users may be unwittingly missing this package. - // RCCL is disabled by default, users are explicitly opting in. - // Therefore print no warning for RCCL. -#if !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA) - static bool warning_printed = false; - if (!warning_printed) { - GGML_LOG_WARN("%s: NVIDIA Collective Communications Library (NCCL) is unavailable, multi GPU performance will be suboptimal\n", __func__); - warning_printed = true; - } -#endif // !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA) - GGML_UNUSED_VARS(backends, n_backends); - return nullptr; -#endif // GGML_USE_NCCL -} - -static bool ggml_backend_cuda_comm_allreduce_tensor(void * comm_ctx_v, struct ggml_tensor ** tensors) { #ifdef GGML_USE_NCCL +// AllReduce via NCCL. Reduces as FP32 for small tensors and BF16 for large +// tensors (bandwidth-bound), then converts back to FP32. +static bool ggml_backend_cuda_comm_allreduce_nccl( + ggml_backend_cuda_comm_context * comm_ctx, struct ggml_tensor ** tensors) { const int64_t ne = ggml_nelements(tensors[0]); // FIXME the input of llm_graph_context::build_in_out_ids can produce a tensor with 0 elements if n_outputs == 0 // This then causes a crash in this function @@ -1209,8 +1190,6 @@ static bool ggml_backend_cuda_comm_allreduce_tensor(void * comm_ctx_v, struct gg return true; } - GGML_ASSERT(comm_ctx_v != nullptr); - ggml_backend_cuda_comm_context * comm_ctx = (ggml_backend_cuda_comm_context *) comm_ctx_v; const size_t n_backends = comm_ctx->backends.size(); for (size_t i = 0; i < n_backends; ++i) { @@ -1235,7 +1214,6 @@ static bool ggml_backend_cuda_comm_allreduce_tensor(void * comm_ctx_v, struct gg NCCL_CHECK(ncclAllReduce(tensors[i]->data, tensors[i]->data, ne, ncclFloat, ncclSum, comm_ctx->comms[i], cuda_ctx->stream())); } NCCL_CHECK(ncclGroupEnd()); - return true; } @@ -1274,10 +1252,184 @@ static bool ggml_backend_cuda_comm_allreduce_tensor(void * comm_ctx_v, struct gg } return true; -#else - GGML_UNUSED_VARS(comm_ctx_v, tensors); - return false; +} #endif // GGML_USE_NCCL + +// Run the internal AR pipeline. Returns false on unsupported / failed input +// -- the caller decides whether to abort (env-forced) or fall back silently. +static bool ggml_backend_cuda_comm_allreduce_internal( + ggml_backend_cuda_comm_context * comm_ctx, struct ggml_tensor ** tensors) { + GGML_ASSERT(comm_ctx->ar_pipeline != nullptr); + + const size_t n_backends = comm_ctx->backends.size(); + GGML_ASSERT(n_backends == 2); + GGML_ASSERT(tensors[0] != nullptr); + + const int64_t ne = ggml_nelements(tensors[0]); + const ggml_type type = tensors[0]->type; + + if (type != GGML_TYPE_F32 && type != GGML_TYPE_F16 && type != GGML_TYPE_BF16) { + GGML_LOG_DEBUG("%s: internal unsupported: type=%d\n", __func__, (int) type); + return false; + } + + if (ne == 0) { + return true; + } + + for (size_t i = 0; i < n_backends; ++i) { + if (tensors[i] == nullptr) { + GGML_LOG_ERROR("%s: internal failed: tensor[%zu] is null\n", __func__, i); + return false; + } + if (ggml_nelements(tensors[i]) != ne || tensors[i]->type != type) { + GGML_LOG_ERROR("%s: internal failed: tensor[%zu] ne=%" PRId64 " type=%d expected ne=%" PRId64 " type=%d\n", + __func__, i, ggml_nelements(tensors[i]), (int) tensors[i]->type, ne, (int) type); + return false; + } + if (!ggml_is_contiguously_allocated(tensors[i])) { + GGML_LOG_DEBUG("%s: internal unsupported: tensor[%zu] is not contiguously allocated: ne=%" PRId64 " nbytes=%zu packed=%zu type=%d\n", + __func__, i, ne, ggml_nbytes(tensors[i]), + (size_t) ne * ggml_type_size(type) / ggml_blck_size(type), (int) type); + return false; + } + if (((uintptr_t) tensors[i]->data & 0xF) != 0) { + GGML_LOG_DEBUG("%s: internal unsupported: tensor[%zu] data pointer is not 16-byte aligned: %p type=%d ne=%" PRId64 "\n", + __func__, i, tensors[i]->data, (int) type, ne); + return false; + } + GGML_ASSERT((ggml_nbytes(tensors[i]) & 0xF) == 0); + } + + return ggml_cuda_ar_allreduce(comm_ctx->ar_pipeline, comm_ctx->backends.data(), tensors); +} + +// --------------------------------------------------------------------------- +// Per-call dispatch -- three variants, one per backend. Each is set as +// comm_ctx->try_allreduce by the matching init step. Per-call failure +// returns false; the meta backend's generic implementation handles that call. +// --------------------------------------------------------------------------- + +#ifdef GGML_USE_NCCL +static bool ggml_backend_cuda_comm_try_allreduce_nccl( + ggml_backend_cuda_comm_context * comm_ctx, struct ggml_tensor ** tensors) { + return ggml_backend_cuda_comm_allreduce_nccl(comm_ctx, tensors); +} +#endif // GGML_USE_NCCL + +static bool ggml_backend_cuda_comm_try_allreduce_internal( + ggml_backend_cuda_comm_context * comm_ctx, struct ggml_tensor ** tensors) { + return ggml_backend_cuda_comm_allreduce_internal(comm_ctx, tensors); +} + +static bool ggml_backend_cuda_comm_try_allreduce_butterfly( + ggml_backend_cuda_comm_context *, struct ggml_tensor **) { + return false; +} + +static void ggml_backend_cuda_comm_free(void * comm_ctx_v) { + if (comm_ctx_v == nullptr) { + return; + } + delete static_cast(comm_ctx_v); +} + +// --------------------------------------------------------------------------- +// Init -- chained nccl -> internal -> none. Each step tries to bring up its +// resource; on failure it warns and recurses into the next step. +// --------------------------------------------------------------------------- +static void ggml_backend_cuda_comm_init_none(ggml_backend_cuda_comm_context * ret) { + ret->try_allreduce = ggml_backend_cuda_comm_try_allreduce_butterfly; +} + +static void ggml_backend_cuda_comm_init_internal(ggml_backend_cuda_comm_context * ret) { + ret->ar_pipeline = ggml_cuda_ar_pipeline_init(ret->dev_ids.data(), ret->dev_ids.size()); + if (ret->ar_pipeline) { + ret->try_allreduce = ggml_backend_cuda_comm_try_allreduce_internal; + return; + } + + // Clear sticky CUDA error from the failed init. + (void) cudaGetLastError(); + GGML_LOG_WARN("internal AllReduce init failed (n_devices != 2?); " + "falling back to meta-backend butterfly\n"); + ggml_backend_cuda_comm_init_none(ret); +} + +static void ggml_backend_cuda_comm_init_nccl(ggml_backend_cuda_comm_context * ret) { +#ifdef GGML_USE_NCCL + const size_t n = ret->dev_ids.size(); + ret->comms.resize(n); + ncclResult_t rc = ncclCommInitAll(ret->comms.data(), (int) n, ret->dev_ids.data()); + if (rc == ncclSuccess) { + ret->try_allreduce = ggml_backend_cuda_comm_try_allreduce_nccl; + return; + } + + ret->comms.clear(); + GGML_LOG_WARN("NCCL init failed (%s); falling back to internal AllReduce\n", + ncclGetErrorString(rc)); +#else // GGML_USE_NCCL +#ifndef GGML_USE_HIP + GGML_LOG_WARN("NCCL not compiled in; falling back to internal AllReduce. " + "Recompile with -DGGML_CUDA_NCCL=ON for best multi-GPU performance.\n"); +#endif // !GGML_USE_HIP +#endif // GGML_USE_NCCL + + ggml_backend_cuda_comm_init_internal(ret); +} + +// Top-level init. Picks one of the three init paths based on +// GGML_CUDA_ALLREDUCE (or the platform default) and lets the chain handle +// any fallback. Unrecognised env values warn and fall through to the +// platform default. +static void * ggml_backend_cuda_comm_init(ggml_backend_t * backends, size_t n_backends) { + for (size_t i = 0; i < n_backends; i++) { + if (!ggml_backend_is_cuda(backends[i])) { + return nullptr; + } + } + + auto * ret = new ggml_backend_cuda_comm_context; + ret->backends.assign(backends, backends + n_backends); + ret->dev_ids.reserve(n_backends); + for (size_t i = 0; i < n_backends; i++) { + ret->dev_ids.push_back(static_cast(backends[i]->context)->device); + } + + const char * env = getenv("GGML_CUDA_ALLREDUCE"); + if (!env) { + // Platform default: Linux uses NCCL, otherwise (generally Windows) internal +#if defined(__linux__) + ggml_backend_cuda_comm_init_nccl(ret); +#else + ggml_backend_cuda_comm_init_internal(ret); +#endif // defined(__linux__) + } else { + std::string env_str(env); + if (env_str == "nccl") { + ggml_backend_cuda_comm_init_nccl(ret); + } else if (env_str == "internal") { + ggml_backend_cuda_comm_init_internal(ret); + } else if (env_str == "none") { + ggml_backend_cuda_comm_init_none(ret); + } else { + GGML_LOG_WARN("unknown GGML_CUDA_ALLREDUCE value: %s\n", env); + ggml_backend_cuda_comm_init_none(ret); + } + } + + return ret; +} + +// Top-level dispatch -- calls the function pointer chosen by comm_init. +// Returns false to let the meta-backend's butterfly run. +static bool ggml_backend_cuda_comm_allreduce_tensor(void * comm_ctx_v, struct ggml_tensor ** tensors) { + if (comm_ctx_v == nullptr) { + return false; + } + auto * comm_ctx = static_cast(comm_ctx_v); + return comm_ctx->try_allreduce(comm_ctx, tensors); } ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(int main_device, const float * tensor_split) { @@ -3556,6 +3708,9 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph * cgraph, && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_SILU) { const ggml_tensor * ssm_conv = cgraph->nodes[node_idx]; const ggml_tensor * silu = cgraph->nodes[node_idx+1]; + if (ggml_get_unary_op(silu) != unary_ops.begin()[0]) { + return false; + } if (ssm_conv->type != GGML_TYPE_F32 || silu->type != GGML_TYPE_F32) { return false; @@ -3564,6 +3719,31 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph * cgraph, return true; } + if (ops.size() == 3 && ops.begin()[0] == GGML_OP_SSM_CONV && ops.begin()[1] == GGML_OP_ADD + && ops.begin()[2] == GGML_OP_UNARY && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_SILU) { + const ggml_tensor * ssm_conv = cgraph->nodes[node_idx]; + const ggml_tensor * add = cgraph->nodes[node_idx+1]; + const ggml_tensor * silu = cgraph->nodes[node_idx+2]; + if (ggml_get_unary_op(silu) != unary_ops.begin()[0]) { + return false; + } + + if (ssm_conv->type != GGML_TYPE_F32 || add->type != GGML_TYPE_F32 || silu->type != GGML_TYPE_F32) { + return false; + } + + // ADD must consume ssm_conv's output and broadcast a 1-D channel-wise bias. + const ggml_tensor * bias = (add->src[0] == ssm_conv) ? add->src[1] : add->src[0]; + if (bias->type != GGML_TYPE_F32 || !ggml_is_contiguous(bias)) { + return false; + } + if (ggml_nelements(bias) != ssm_conv->ne[0] || bias->ne[0] != ssm_conv->ne[0]) { + return false; + } + + return true; + } + if (ops.size() == 2 && ops.begin()[0] == GGML_OP_UNARY && ops.begin()[1] == GGML_OP_MUL && unary_ops.size() == 1 && (unary_ops.begin()[0] == GGML_UNARY_OP_SILU || unary_ops.begin()[0] == GGML_UNARY_OP_SIGMOID || unary_ops.begin()[0] == GGML_UNARY_OP_SOFTPLUS)) { const ggml_tensor * unary = cgraph->nodes[node_idx]; @@ -3729,6 +3909,50 @@ static int ggml_cuda_try_fuse(ggml_backend_cuda_context * cuda_ctx, ggml_cgraph return 2; } + // Snake activation: y = x + sin(a*x)^2 * inv_b + // Naive 5-op decomposition emitted by frontends: mul -> sin -> sqr -> mul -> add + if (ggml_can_fuse_subgraph(cgraph, i, + { GGML_OP_MUL, GGML_OP_SIN, GGML_OP_SQR, GGML_OP_MUL, GGML_OP_ADD }, + { i + 4 })) { + const ggml_tensor * mul0 = cgraph->nodes[i]; + const ggml_tensor * sqr = cgraph->nodes[i + 2]; + const ggml_tensor * mul1 = cgraph->nodes[i + 3]; + ggml_tensor * add = cgraph->nodes[i + 4]; + + // x carries the full activation shape, a is the broadcast operand + const ggml_tensor * x = ggml_are_same_shape(mul0, mul0->src[0]) ? mul0->src[0] : mul0->src[1]; + const ggml_tensor * a = (x == mul0->src[0]) ? mul0->src[1] : mul0->src[0]; + + // mul1 reads sqr and inv_b in either operand order + const ggml_tensor * inv_b = (mul1->src[0] == sqr) ? mul1->src[1] : mul1->src[0]; + + // closure check: the trailing add must read the same x as the leading mul + const ggml_tensor * x_in_add = (add->src[0] == mul1) ? add->src[1] : add->src[0]; + + // Kernel iterates over total = T * C, so x and add must be 2D and + // a / inv_b must collapse to [1, C, 1, 1]. Higher dims are not handled. + const bool dim_ok = (x->ne[2] == 1 && x->ne[3] == 1) && + (add->ne[2] == 1 && add->ne[3] == 1) && + (a->ne[2] == 1 && a->ne[3] == 1); + const bool shape_ok = ggml_are_same_shape(a, inv_b) && a->ne[0] == 1 && a->ne[1] == x->ne[1]; + + // x must be in the supported whitelist and every operand / intermediate + // result must share x's type, since launch_snake casts a / inv_b as + // float and templates the kernel on a single T. Mixed precision chains + // fall back to the naive path. + const ggml_tensor * sin1 = cgraph->nodes[i + 1]; + const bool types_ok = (x->type == GGML_TYPE_F32 || x->type == GGML_TYPE_F16 || x->type == GGML_TYPE_BF16) && + (a->type == x->type) && (inv_b->type == x->type) && + (mul0->type == x->type) && (sin1->type == x->type) && + (sqr->type == x->type) && (mul1->type == x->type) && + (add->type == x->type); + + if (types_ok && shape_ok && dim_ok && x_in_add == x) { + ggml_cuda_op_snake_fused(*cuda_ctx, x, a, inv_b, add); + return 4; + } + } + // multi-(add or mul) if (node->op == GGML_OP_ADD || node->op == GGML_OP_MUL) { int n_fuse = 0; @@ -3966,8 +4190,13 @@ static int ggml_cuda_try_fuse(ggml_backend_cuda_context * cuda_ctx, ggml_cgraph return 1; } + if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SSM_CONV, GGML_OP_ADD, GGML_OP_UNARY }, { GGML_UNARY_OP_SILU })) { + ggml_cuda_op_ssm_conv(*cuda_ctx, node, cgraph->nodes[i + 1], cgraph->nodes[i + 2]); + return 2; + } + if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SSM_CONV, GGML_OP_UNARY }, { GGML_UNARY_OP_SILU })) { - ggml_cuda_op_ssm_conv(*cuda_ctx, node, cgraph->nodes[i + 1]); + ggml_cuda_op_ssm_conv(*cuda_ctx, node, /*bias_add_node=*/ nullptr, cgraph->nodes[i + 1]); return 1; } @@ -4555,8 +4784,8 @@ static const ggml_backend_i ggml_backend_cuda_interface = { /* .free = */ ggml_backend_cuda_free, /* .set_tensor_async = */ ggml_backend_cuda_set_tensor_async, /* .get_tensor_async = */ ggml_backend_cuda_get_tensor_async, - /* .get_tensor_2d_async = */ ggml_backend_cuda_set_tensor_2d_async, - /* .set_tensor_2d_async = */ ggml_backend_cuda_get_tensor_2d_async, + /* .set_tensor_2d_async = */ ggml_backend_cuda_set_tensor_2d_async, + /* .get_tensor_2d_async = */ ggml_backend_cuda_get_tensor_2d_async, /* .cpy_tensor_async = */ ggml_backend_cuda_cpy_tensor_async, /* .synchronize = */ ggml_backend_cuda_synchronize, /* .graph_plan_create = */ NULL, @@ -5077,12 +5306,8 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - case GGML_OP_ADD: case GGML_OP_ADD_ID: case GGML_OP_ADD1: - case GGML_OP_SUB: - case GGML_OP_MUL: - case GGML_OP_DIV: case GGML_OP_SCALE: case GGML_OP_SQR: case GGML_OP_SQRT: @@ -5091,6 +5316,13 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_CLAMP: case GGML_OP_LOG: return true; + case GGML_OP_ADD: + case GGML_OP_SUB: + case GGML_OP_MUL: + case GGML_OP_DIV: + return (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) && + (op->src[1]->type == GGML_TYPE_F32 || op->src[1]->type == GGML_TYPE_F16) && + (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16); case GGML_OP_SSM_SCAN: { if (op->src[3]->ne[0] == 1) { // Mamba2 @@ -5398,9 +5630,12 @@ ggml_backend_reg_t ggml_backend_cuda_reg() { CUDA_CHECK(cudaGetDeviceProperties(&prop, i)); dev_ctx->description = prop.name; - char pci_bus_id[16] = {}; - snprintf(pci_bus_id, sizeof(pci_bus_id), "%04x:%02x:%02x.0", prop.pciDomainID, prop.pciBusID, prop.pciDeviceID); + char pci_bus_id[32] = {}; + CUDA_CHECK(cudaDeviceGetPCIBusId(pci_bus_id, sizeof(pci_bus_id), i)); dev_ctx->pci_bus_id = pci_bus_id; + for (char & c : dev_ctx->pci_bus_id) { + c = std::tolower(c); + } dev_ctx->op_offload_min_batch_size = min_batch_size; ggml_backend_dev_t dev = new ggml_backend_device { diff --git a/ggml/src/ggml-cuda/im2col.cu b/ggml/src/ggml-cuda/im2col.cu index 56dc054574..28c79ab462 100644 --- a/ggml/src/ggml-cuda/im2col.cu +++ b/ggml/src/ggml-cuda/im2col.cu @@ -1,5 +1,6 @@ #include "im2col.cuh" +#define MAX_GRIDDIM_Y 65535 #define MAX_GRIDDIM_Z 65535 template @@ -18,22 +19,23 @@ static __global__ void im2col_kernel( const int64_t ikh = rem / KW; const int64_t ikw = rem - ikh * KW; - const int64_t iow = blockIdx.y; - for (int64_t iz = blockIdx.z; iz < N_OH; iz+=MAX_GRIDDIM_Z) { - const int64_t in = iz / OH; - const int64_t ioh = iz - in * OH; + for (int64_t iow = blockIdx.y; iow < OW; iow += MAX_GRIDDIM_Y) { + for (int64_t iz = blockIdx.z; iz < N_OH; iz += MAX_GRIDDIM_Z) { + const int64_t in = iz / OH; + const int64_t ioh = iz - in * OH; - const int64_t iiw = iow * s0 + ikw * d0 - p0; - const int64_t iih = ioh * s1 + ikh * d1 - p1; + const int64_t iiw = iow * s0 + ikw * d0 - p0; + const int64_t iih = ioh * s1 + ikh * d1 - p1; - const int64_t offset_dst = - ((in * OH + ioh) * OW + iow) * IC_KH_KW + iic * KH_KW + ikh * KW + ikw; + const int64_t offset_dst = + ((in * OH + ioh) * OW + iow) * IC_KH_KW + iic * KH_KW + ikh * KW + ikw; - if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { - dst[offset_dst] = 0.0f; - } else { - const int64_t offset_src = iic * IC_IH_IW + in * IH_IW; - dst[offset_dst] = x[offset_src + iih * IW + iiw]; + if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { + dst[offset_dst] = 0.0f; + } else { + const int64_t offset_src = iic * IC_IH_IW + in * IH_IW; + dst[offset_dst] = x[offset_src + iih * IW + iiw]; + } } } @@ -51,7 +53,7 @@ static void im2col_cuda(const float * x, T* dst, const int64_t num_blocks = (IC_KH_KW + CUDA_IM2COL_BLOCK_SIZE - 1) / CUDA_IM2COL_BLOCK_SIZE; const int64_t N_OH = N * OH; const int64_t KH_KW = KW*KH; - dim3 block_nums(num_blocks, OW, MIN(N_OH, MAX_GRIDDIM_Z)); + dim3 block_nums(num_blocks, MIN(OW, MAX_GRIDDIM_Y), MIN(N_OH, MAX_GRIDDIM_Z)); im2col_kernel<<>>(x, dst, IC, IW, IH, OH, OW, KW, KH, IC_IH_IW, IH_IW, N_OH, KH_KW, IC_KH_KW, s0, s1, p0, p1, d0, d1); @@ -136,23 +138,24 @@ static __global__ void im2col_3d_kernel( const int64_t ikh = (i - iic * KD_KH_KW - ikd * KH_KW) / KW; const int64_t ikw = i % KW; - const int64_t iow = blockIdx.y; - for (int64_t iz = blockIdx.z; iz < N_OD_OH; iz+=MAX_GRIDDIM_Z) { - const int64_t in = iz / OD_OH; - const int64_t iod = (iz - in*OD_OH) / OH; - const int64_t ioh = iz % OH; + for (int64_t iow = blockIdx.y; iow < OW; iow += MAX_GRIDDIM_Y) { + for (int64_t iz = blockIdx.z; iz < N_OD_OH; iz += MAX_GRIDDIM_Z) { + const int64_t in = iz / OD_OH; + const int64_t iod = (iz - in*OD_OH) / OH; + const int64_t ioh = iz % OH; - const int64_t iiw = iow * s0 + ikw * d0 - p0; - const int64_t iih = ioh * s1 + ikh * d1 - p1; - const int64_t iid = iod * s2 + ikd * d2 - p2; + const int64_t iiw = iow * s0 + ikw * d0 - p0; + const int64_t iih = ioh * s1 + ikh * d1 - p1; + const int64_t iid = iod * s2 + ikd * d2 - p2; - const int64_t offset_dst = in*OD_OH_OW_IC_KD_KH_KW + iod*OH_OW_IC_KD_KH_KW + ioh*OW_IC_KD_KH_KW + iow*IC_KD_KH_KW + iic*KD_KH_KW + ikd * KH_KW + ikh*KW + ikw; + const int64_t offset_dst = in*OD_OH_OW_IC_KD_KH_KW + iod*OH_OW_IC_KD_KH_KW + ioh*OW_IC_KD_KH_KW + iow*IC_KD_KH_KW + iic*KD_KH_KW + ikd * KH_KW + ikh*KW + ikw; - if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW || iid < 0 || iid >= ID) { - dst[offset_dst] = 0.0f; - } else { - const int64_t offset_src = ((in * IC + iic) * stride_q) + (iid * stride_z) + (iih * stride_y) + (iiw * stride_x); - dst[offset_dst] = src[offset_src]; + if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW || iid < 0 || iid >= ID) { + dst[offset_dst] = 0.0f; + } else { + const int64_t offset_src = ((in * IC + iic) * stride_q) + (iid * stride_z) + (iih * stride_y) + (iiw * stride_x); + dst[offset_dst] = src[offset_src]; + } } } } @@ -178,7 +181,7 @@ static void im2col_3d_cuda(const float * src, T* dst, const int64_t OH_OW_IC_KD_KH_KW = OH*OW*IC*KD*KH*KW; const int64_t OW_IC_KD_KH_KW = OW*IC*KD*KH*KW; const int64_t num_blocks = (IC_KD_KH_KW + CUDA_IM2COL_BLOCK_SIZE - 1) / CUDA_IM2COL_BLOCK_SIZE; - dim3 block_nums(num_blocks, OW, MIN(N_OD_OH, MAX_GRIDDIM_Z)); + dim3 block_nums(num_blocks, MIN(OW, MAX_GRIDDIM_Y), MIN(N_OD_OH, MAX_GRIDDIM_Z)); im2col_3d_kernel<<>>(src, dst, N, IC, ID, IH, IW, OC, KD, KH, KW, OD, OH, OW, OH_OW, KD_KH_KW, ID_IH_IW, KH_KW, IH_IW, IC_ID_IH_IW, IC_KD_KH_KW, OW_KD_KH_KW, OD_OH_OW_IC_KD_KH_KW, diff --git a/ggml/src/ggml-cuda/out-prod.cu b/ggml/src/ggml-cuda/out-prod.cu index c9b2b699c6..499903d09b 100644 --- a/ggml/src/ggml-cuda/out-prod.cu +++ b/ggml/src/ggml-cuda/out-prod.cu @@ -54,15 +54,31 @@ void ggml_cuda_out_prod(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { const int64_t dps2 = ne2 / ne02; const int64_t dps3 = ne3 / ne03; - // TODO batched matrix multiplication - for (int64_t i3 = 0; i3 < ne3; ++i3) { - for (int64_t i2 = 0; i2 < ne2; ++i2) { + if (dps2 == 1 && ne2 > 1) { + // src0 has uniform stride s02 along dim 2; batch the inner loop with a strided GEMM + GGML_ASSERT(ne2 <= std::numeric_limits::max()); + const int batch_count = (int) ne2; + for (int64_t i3 = 0; i3 < ne3; ++i3) { CUBLAS_CHECK( - cublasSgemm(handle, CUBLAS_OP_N, src1_cublas_op, + cublasSgemmStridedBatched(handle, CUBLAS_OP_N, src1_cublas_op, ne0, ne1, ne01, - &alpha, src0_d + (i3/dps3)*s03 + (i2/dps2)*s02, lda, - src1_d + i3 *s13 + i2 *s12, ldb, - &beta, dst_d + i3 *s3 + i2 *s2, ldc)); + &alpha, src0_d + (i3/dps3)*s03, lda, s02, + src1_d + i3 *s13, ldb, s12, + &beta, dst_d + i3 *s3, ldc, s2, + batch_count)); + } + } else { + // Fallback: ne2 == 1 (no batching benefit) or dps2 > 1 (src0 broadcast along dim 2 + // with non-uniform stride; would need cublasSgemmBatched with pointer arrays). + for (int64_t i3 = 0; i3 < ne3; ++i3) { + for (int64_t i2 = 0; i2 < ne2; ++i2) { + CUBLAS_CHECK( + cublasSgemm(handle, CUBLAS_OP_N, src1_cublas_op, + ne0, ne1, ne01, + &alpha, src0_d + (i3/dps3)*s03 + (i2/dps2)*s02, lda, + src1_d + i3 *s13 + i2 *s12, ldb, + &beta, dst_d + i3 *s3 + i2 *s2, ldc)); + } } } } diff --git a/ggml/src/ggml-cuda/snake.cu b/ggml/src/ggml-cuda/snake.cu new file mode 100644 index 0000000000..384638c1f4 --- /dev/null +++ b/ggml/src/ggml-cuda/snake.cu @@ -0,0 +1,72 @@ +#include "snake.cuh" +#include "convert.cuh" + +// Fused Snake activation: y = x + sin^2(a * x) * inv_b +// x: [T, C] (T contiguous), a: [1, C], inv_b: [1, C] +// Supports F32, F16, BF16 data with F32 compute. + +template +static __global__ void snake_kernel( + const T * __restrict__ x, + const float * __restrict__ a, + const float * __restrict__ inv_b, + T * __restrict__ dst, + const int total, + const uint3 T_len_fastdiv) { + const int idx = blockIdx.x * blockDim.x + threadIdx.x; + if (idx >= total) return; + + const int c = (int) fastdiv((uint32_t) idx, T_len_fastdiv); + + const float xi = ggml_cuda_cast(x[idx]); + const float s = sinf(a[c] * xi); + dst[idx] = ggml_cuda_cast(xi + s * s * inv_b[c]); +} + +// Internal launcher with explicit x/a/inv_b/dst tensors. +// Shared by the public op (reads dst->src) and the fusion path (explicit args). +static void launch_snake(ggml_backend_cuda_context & ctx, + const ggml_tensor * x, + const ggml_tensor * a, + const ggml_tensor * inv_b, + ggml_tensor * dst) { + const float * a_d = (const float *)a->data; + const float * inv_b_d = (const float *)inv_b->data; + + const int T = (int)x->ne[0]; + const int C = (int)x->ne[1]; + const int total = T * C; + const uint3 T_len_fastdiv = init_fastdiv_values((uint64_t) T); + + const int block_size = 256; + const int grid_size = (total + block_size - 1) / block_size; + + cudaStream_t stream = ctx.stream(); + + switch (x->type) { + case GGML_TYPE_F32: { + snake_kernel<<>>( + (const float *)x->data, a_d, inv_b_d, (float *)dst->data, total, T_len_fastdiv); + } break; + case GGML_TYPE_F16: { + snake_kernel<<>>( + (const half *)x->data, a_d, inv_b_d, (half *)dst->data, total, T_len_fastdiv); + } break; + case GGML_TYPE_BF16: { + snake_kernel<<>>( + (const nv_bfloat16 *)x->data, a_d, inv_b_d, (nv_bfloat16 *)dst->data, total, T_len_fastdiv); + } break; + default: + GGML_ABORT("snake: unsupported type"); + } +} + +// Fusion entry: caller supplies x/a/inv_b explicitly from the matched +// mul -> sin -> sqr -> mul -> add pattern. The dst is the trailing add output. +void ggml_cuda_op_snake_fused(ggml_backend_cuda_context & ctx, + const ggml_tensor * x, + const ggml_tensor * a, + const ggml_tensor * inv_b, + ggml_tensor * dst) { + launch_snake(ctx, x, a, inv_b, dst); +} diff --git a/ggml/src/ggml-cuda/snake.cuh b/ggml/src/ggml-cuda/snake.cuh new file mode 100644 index 0000000000..7f6f1cb3b4 --- /dev/null +++ b/ggml/src/ggml-cuda/snake.cuh @@ -0,0 +1,8 @@ +#include "common.cuh" + +// Fusion entry point. Caller supplies x/a/inv_b explicitly. +void ggml_cuda_op_snake_fused(ggml_backend_cuda_context & ctx, + const ggml_tensor * x, + const ggml_tensor * a, + const ggml_tensor * inv_b, + ggml_tensor * dst); diff --git a/ggml/src/ggml-cuda/ssm-conv.cu b/ggml/src/ggml-cuda/ssm-conv.cu index 1c7d0a80fc..e4c933257d 100644 --- a/ggml/src/ggml-cuda/ssm-conv.cu +++ b/ggml/src/ggml-cuda/ssm-conv.cu @@ -4,6 +4,7 @@ template static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float * __restrict__ src1, + const float * __restrict__ bias, const int src0_nb0, const int src0_nb1, const int src0_nb2, const int src1_nb1, float * __restrict__ dst, const int dst_nb0, const int dst_nb1, const int dst_nb2, const int64_t n_t) { @@ -29,6 +30,8 @@ static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float w[j] = w_block[tid * stride_w + j]; } + float b = bias != nullptr ? bias[bidy * split_d_inner + tid] : 0.0f; + for (int64_t i = 0; i < n_t; i++) { float sumf = 0.0f; @@ -44,12 +47,14 @@ static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float for (size_t j = 0; j < d_conv; j++) { sumf += x[(i + j) % d_conv] * w[j]; } + sumf += b; y_block[i * stride_y + tid] = apply_silu ? ggml_cuda_op_silu_single(sumf) : sumf; } } template static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0, const float * __restrict__ src1, + const float * __restrict__ bias, const int src0_nb0, const int src0_nb1, const int src0_nb2, const int src1_nb1, float * __restrict__ dst, const int dst_nb0, const int dst_nb1, const int dst_nb2, const int64_t n_t) { @@ -99,6 +104,8 @@ static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0, w[j] = w_block[tid * stride_w + j]; } + float b = bias != nullptr ? bias[bidy * split_d_inner + tid] : 0.0f; + // Compute from shared memory for (int64_t i = 0; i < local_n_t; i++) { float sumf = 0.0f; @@ -106,12 +113,13 @@ static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0, for (size_t j = 0; j < d_conv; j++) { sumf += smem[tid * n_cols + i + j] * w[j]; } + sumf += b; y_block[i * stride_y + tid] = apply_silu ? ggml_cuda_op_silu_single(sumf) : sumf; } } template -static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int src0_nb0, const int src0_nb1, +static void ssm_conv_f32_cuda(const float * src0, const float * src1, const float * bias, const int src0_nb0, const int src0_nb1, const int src0_nb2, const int src1_nb1, float * dst, const int dst_nb0, const int dst_nb1, const int dst_nb2, const int64_t nc, const int64_t nr, const int64_t n_t, const int64_t n_s, cudaStream_t stream) { @@ -123,14 +131,14 @@ static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int if (n_t <= 32) { const dim3 blocks(n_s, (nr + threads - 1) / threads, 1); auto launch_params = ggml_cuda_kernel_launch_params(blocks, threads, 0, stream); - ggml_cuda_kernel_launch(ssm_conv_f32, launch_params, src0, src1, src0_nb0, src0_nb1, src0_nb2, src1_nb1, - dst, dst_nb0, dst_nb1, dst_nb2, n_t); + ggml_cuda_kernel_launch(ssm_conv_f32, launch_params, src0, src1, bias, src0_nb0, src0_nb1, + src0_nb2, src1_nb1, dst, dst_nb0, dst_nb1, dst_nb2, n_t); } else { const int64_t split_n_t = 32; dim3 blocks(n_s, (nr + threads - 1) / threads, (n_t + split_n_t - 1) / split_n_t); const size_t smem_size = threads * (kNC - 1 + split_n_t) * sizeof(float); ssm_conv_long_token_f32<<>>( - src0, src1, src0_nb0, src0_nb1, src0_nb2, src1_nb1, dst, dst_nb0, dst_nb1, dst_nb2, n_t); + src0, src1, bias, src0_nb0, src0_nb1, src0_nb2, src1_nb1, dst, dst_nb0, dst_nb1, dst_nb2, n_t); } }; @@ -143,11 +151,18 @@ static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int } } -void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * silu_dst) { +void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * bias_add_node, ggml_tensor * silu_dst) { const struct ggml_tensor * src0 = dst->src[0]; // conv_x const struct ggml_tensor * src1 = dst->src[1]; // conv1d.weight + const bool fuse_bias = bias_add_node != nullptr; const bool fuse_silu = silu_dst != nullptr; + // bias always comes with silu. + GGML_ASSERT(!fuse_bias || fuse_silu); + + // The bias (when fused) is the non-conv operand of the ADD node. + const struct ggml_tensor * bias = fuse_bias ? (bias_add_node->src[0] == dst ? bias_add_node->src[1] : bias_add_node->src[0]) : nullptr; + // When fusing, write to silu_dst (the node downstream references). const struct ggml_tensor * out = fuse_silu ? silu_dst : dst; @@ -163,16 +178,23 @@ void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, g const float * src0_d = (const float *) src0->data; const float * src1_d = (const float *) src1->data; + const float * bias_d = fuse_bias ? (const float *) bias->data : nullptr; float * dst_d = (float *) out->data; cudaStream_t stream = ctx.stream(); GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT(out->type == GGML_TYPE_F32); + if (fuse_bias) { + GGML_ASSERT(bias->type == GGML_TYPE_F32); + GGML_ASSERT(ggml_is_contiguous(bias)); + GGML_ASSERT(ggml_nelements(bias) == nr); + } + if (fuse_silu) { - ssm_conv_f32_cuda(src0_d, src1_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1], + ssm_conv_f32_cuda(src0_d, src1_d, bias_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1], out->nb[2], nc, nr, n_t, n_s, stream); } else { - ssm_conv_f32_cuda(src0_d, src1_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1], + ssm_conv_f32_cuda(src0_d, src1_d, bias_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1], out->nb[2], nc, nr, n_t, n_s, stream); } } diff --git a/ggml/src/ggml-cuda/ssm-conv.cuh b/ggml/src/ggml-cuda/ssm-conv.cuh index f96a1cd248..8514ca8492 100644 --- a/ggml/src/ggml-cuda/ssm-conv.cuh +++ b/ggml/src/ggml-cuda/ssm-conv.cuh @@ -1,3 +1,3 @@ #include "common.cuh" -void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * silu_dst = nullptr); +void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * bias_add_node = nullptr, ggml_tensor * silu_dst = nullptr); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_16.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_16.cu index fb26abeb0d..b2661b9316 100644 --- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_16.cu +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_16.cu @@ -2,4 +2,5 @@ #include "../fattn-mma-f16.cuh" +DECL_FATTN_MMA_F16_CASE(192, 128, 1, 16); DECL_FATTN_MMA_F16_CASE(576, 512, 1, 16); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu index 22d383173f..6ae77bec89 100644 --- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu @@ -7,5 +7,6 @@ DECL_FATTN_MMA_F16_CASE(80, 80, 1, 8); DECL_FATTN_MMA_F16_CASE(96, 96, 1, 8); DECL_FATTN_MMA_F16_CASE(112, 112, 1, 8); DECL_FATTN_MMA_F16_CASE(128, 128, 1, 8); +DECL_FATTN_MMA_F16_CASE(192, 128, 1, 8); DECL_FATTN_MMA_F16_CASE(256, 256, 1, 8); DECL_FATTN_MMA_F16_CASE(512, 512, 1, 8); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_16.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_16.cu index f011a208cd..fd41e71b14 100644 --- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_16.cu +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_16.cu @@ -2,4 +2,5 @@ #include "../fattn-mma-f16.cuh" +DECL_FATTN_MMA_F16_CASE(192, 128, 2, 16); DECL_FATTN_MMA_F16_CASE(576, 512, 2, 16); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu index 84b674cd05..9f4bef11a4 100644 --- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu @@ -7,5 +7,6 @@ DECL_FATTN_MMA_F16_CASE(80, 80, 2, 8); DECL_FATTN_MMA_F16_CASE(96, 96, 2, 8); DECL_FATTN_MMA_F16_CASE(112, 112, 2, 8); DECL_FATTN_MMA_F16_CASE(128, 128, 2, 8); +DECL_FATTN_MMA_F16_CASE(192, 128, 2, 8); DECL_FATTN_MMA_F16_CASE(256, 256, 2, 8); DECL_FATTN_MMA_F16_CASE(512, 512, 2, 8); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_16.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_16.cu index f5fd0e2369..cc41fa52f1 100644 --- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_16.cu +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_16.cu @@ -2,4 +2,5 @@ #include "../fattn-mma-f16.cuh" +DECL_FATTN_MMA_F16_CASE(192, 128, 4, 16); DECL_FATTN_MMA_F16_CASE(576, 512, 4, 16); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu index 5906398db9..859bea5c52 100644 --- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu @@ -7,5 +7,6 @@ DECL_FATTN_MMA_F16_CASE(80, 80, 4, 8); DECL_FATTN_MMA_F16_CASE(96, 96, 4, 8); DECL_FATTN_MMA_F16_CASE(112, 112, 4, 8); DECL_FATTN_MMA_F16_CASE(128, 128, 4, 8); +DECL_FATTN_MMA_F16_CASE(192, 128, 4, 8); DECL_FATTN_MMA_F16_CASE(256, 256, 4, 8); DECL_FATTN_MMA_F16_CASE(512, 512, 4, 8); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu index 4bc60d62f9..c975ce6b9b 100644 --- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu +++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu @@ -7,5 +7,6 @@ DECL_FATTN_MMA_F16_CASE(80, 80, 8, 8); DECL_FATTN_MMA_F16_CASE(96, 96, 8, 8); DECL_FATTN_MMA_F16_CASE(112, 112, 8, 8); DECL_FATTN_MMA_F16_CASE(128, 128, 8, 8); +DECL_FATTN_MMA_F16_CASE(192, 128, 8, 8); DECL_FATTN_MMA_F16_CASE(256, 256, 8, 8); DECL_FATTN_MMA_F16_CASE(512, 512, 8, 8); diff --git a/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq192-dv128.cu b/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq192-dv128.cu new file mode 100644 index 0000000000..b571cca0df --- /dev/null +++ b/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq192-dv128.cu @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.cuh" + +DECL_FATTN_TILE_CASE(192, 128); diff --git a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py index 5e9a1cb2eb..af05a9eff7 100755 --- a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py +++ b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py @@ -3,7 +3,10 @@ from glob import glob import os -HEAD_SIZES_KQ = [40, 64, 72, 80, 96, 112, 128, 256, 320, 512, 576] +HEAD_SIZES_KQ = [40, 64, 72, 80, 96, 112, 128, 192, 256, 320, 512, 576] + +# DKQ -> DV override for asymmetric head dims. +HEAD_SIZES_V_OVERRIDE = {576: 512, 320: 256, 192: 128} TYPES_KV = ["GGML_TYPE_F16", "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0", "GGML_TYPE_BF16"] @@ -62,7 +65,7 @@ for filename in glob("*.cu"): os.remove(filename) for head_size_kq in HEAD_SIZES_KQ: - head_size_v = 256 if head_size_kq == 320 else (head_size_kq if head_size_kq != 576 else 512) + head_size_v = HEAD_SIZES_V_OVERRIDE.get(head_size_kq, head_size_kq) with open(f"fattn-tile-instance-dkq{head_size_kq}-dv{head_size_v}.cu", "w") as f: f.write(SOURCE_FATTN_TILE.format(head_size_kq=head_size_kq, head_size_v=head_size_v)) @@ -85,15 +88,17 @@ for ncols in [8, 16, 32, 64]: if head_size_kq == 72: continue # Skip compilation of unused ncols2 values for niche head sizes: + if head_size_kq == 192 and ncols2 not in (8, 16): # MiMo-V2.5 + continue if head_size_kq == 320 and ncols2 != 32: # Mistral Small 4 continue if head_size_kq == 512 and ncols2 not in (4, 8): # Gemma 4 continue if head_size_kq == 576 and ncols2 not in (4, 16, 32): # Deepseek, GLM 4.7 Flash continue - if head_size_kq not in (320, 576) and ncols2 in (16, 32): + if head_size_kq not in (192, 320, 576) and ncols2 in (16, 32): continue - head_size_v = 256 if head_size_kq == 320 else (head_size_kq if head_size_kq != 576 else 512) + head_size_v = HEAD_SIZES_V_OVERRIDE.get(head_size_kq, head_size_kq) f.write(SOURCE_FATTN_MMA_CASE.format(ncols1=ncols1, ncols2=ncols2, head_size_kq=head_size_kq, head_size_v=head_size_v)) for type in TYPES_MMQ: diff --git a/ggml/src/ggml-cuda/vendors/hip.h b/ggml/src/ggml-cuda/vendors/hip.h index 78ca364d38..5e0e22c7fc 100644 --- a/ggml/src/ggml-cuda/vendors/hip.h +++ b/ggml/src/ggml-cuda/vendors/hip.h @@ -48,6 +48,7 @@ #define cublasSetMathMode(handle, mode) CUBLAS_STATUS_SUCCESS #define cublasSetStream hipblasSetStream #define cublasSgemm hipblasSgemm +#define cublasSgemmStridedBatched hipblasSgemmStridedBatched #define cublasStatus_t hipblasStatus_t #define cublasOperation_t hipblasOperation_t #define cudaDevAttrCooperativeLaunch hipDeviceAttributeCooperativeLaunch @@ -55,6 +56,7 @@ #define cudaDeviceDisablePeerAccess hipDeviceDisablePeerAccess #define cudaDeviceEnablePeerAccess hipDeviceEnablePeerAccess #define cudaDeviceGetAttribute hipDeviceGetAttribute +#define cudaDeviceGetPCIBusId hipDeviceGetPCIBusId #define cudaDeviceProp hipDeviceProp_t #define cudaDeviceSynchronize hipDeviceSynchronize #define cudaError_t hipError_t diff --git a/ggml/src/ggml-cuda/vendors/musa.h b/ggml/src/ggml-cuda/vendors/musa.h index 8aa056e917..99e8fa3703 100644 --- a/ggml/src/ggml-cuda/vendors/musa.h +++ b/ggml/src/ggml-cuda/vendors/musa.h @@ -32,6 +32,7 @@ #define cublasSetMathMode mublasSetMathMode #define cublasSetStream mublasSetStream #define cublasSgemm mublasSgemm +#define cublasSgemmStridedBatched mublasSgemmStridedBatched #define cublasStatus_t mublasStatus_t #define cublasOperation_t mublasOperation_t #define cublasGetStatusString mublasGetStatusString @@ -39,6 +40,7 @@ #define cudaDeviceCanAccessPeer musaDeviceCanAccessPeer #define cudaDeviceDisablePeerAccess musaDeviceDisablePeerAccess #define cudaDeviceEnablePeerAccess musaDeviceEnablePeerAccess +#define cudaDeviceGetPCIBusId musaDeviceGetPCIBusId #define cudaDeviceProp musaDeviceProp #define cudaDeviceSynchronize musaDeviceSynchronize #define cudaError_t musaError_t diff --git a/ggml/src/ggml-hexagon/CMakeLists.txt b/ggml/src/ggml-hexagon/CMakeLists.txt index f3a583543c..b82bae0c10 100644 --- a/ggml/src/ggml-hexagon/CMakeLists.txt +++ b/ggml/src/ggml-hexagon/CMakeLists.txt @@ -22,7 +22,8 @@ message(STATUS "hexagon: using ${HEXAGON_SDK_ROOT} and ${HEXAGON_TOOLS_ROOT} for include(${HEXAGON_SDK_ROOT}/build/cmake/hexagon_fun.cmake) include(ExternalProject) -option(GGML_HEXAGON_HTP_DEBUG "ggml-hexagon: enable HTP debug output" OFF) +option(GGML_HEXAGON_HTP_DEBUG "ggml-hexagon: enable HTP debug output" OFF) +option(GGML_HEXAGON_FA_EXP2_HF "ggml-hexagon: use FP16 exp2 polynomial in FA softmax instead of F32 exp round-trip" OFF) set(GGML_HEXAGON_HTP_CERT "$ENV{HEXAGON_HTP_CERT}" CACHE PATH "ggml-hexagon: enable HTP library signing using certificate") set(GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE 128 CACHE STRING "ggml-hexagon: quantize group size (32, 64, or 128)") diff --git a/ggml/src/ggml-hexagon/ggml-hexagon.cpp b/ggml/src/ggml-hexagon/ggml-hexagon.cpp index 0d9b5e289b..3d1c9da832 100644 --- a/ggml/src/ggml-hexagon/ggml-hexagon.cpp +++ b/ggml/src/ggml-hexagon/ggml-hexagon.cpp @@ -48,14 +48,16 @@ using intvec = std::vector; using uintvec = std::vector; using u32vec = std::vector; -static size_t opt_ndev = 1; -static size_t opt_nhvx = 0; // use all -static int opt_arch = 0; // autodetect -static int opt_etm = 0; -static int opt_verbose = 0; -static int opt_profile = 0; // profiling mode (0-disabled, 1-basic, 2-pmu) -static int opt_hostbuf = 1; // hostbuf ON by default -static int opt_use_hmx = 1; // when set, enable HMX; when 0, use HVX only +static int opt_arch = 0; // autodetect +static size_t opt_ndev = 1; +static size_t opt_nhvx = 0; // use all +static int opt_use_hmx = 1; // when set, enable HMX; when 0, use HVX only +static size_t opt_vmem = HTP_OP_MAX_VMEM_DEFAULT; // max available va space for buffer mappings +static size_t opt_mbuf = 1ul * 1024 * 1024 * 1024; // max buffer size +static int opt_etm = 0; +static int opt_verbose = 0; +static int opt_profile = 0; // profiling mode (0-disabled, 1-basic, 2-pmu) +static int opt_hostbuf = 1; // hostbuf ON by default // Default PMU events, if profiling with PMU (mode=2) is enabled // See https://docs.qualcomm.com/doc/80-N2040-60/topic/pmu-events.html @@ -66,6 +68,7 @@ static u32vec opt_pmu_evt { 0x3, 0x111, 0x100, 0x105, 0x240, 0x256, 0x7D, 0x8C } static int opt_opstage = HTP_OPSTAGE_QUEUE | HTP_OPSTAGE_COMPUTE; static int opt_opbatch = 1024; // max number of ops in a batch static int opt_opqueue = 16; // max number of pending batches + static std::regex* opt_opfilter = NULL; // regex of ops to not claim #define HEX_VERBOSE(...) \ @@ -110,7 +113,7 @@ static void ggml_hexagon_dump_op_supp(const std::string &sess_name, const struct if (!opt_verbose) return; op_desc desc(op); - GGML_LOG_DEBUG("ggml-hex: %s supports-op %s : %s : %s : %s : %s : %s : %s\n", sess_name.c_str(), + GGML_LOG_DEBUG("ggml-hex: %s supports-op %s: %s : %s : %s : %s : %s : %s\n", sess_name.c_str(), ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, supp ? "yes" : "no"); } @@ -118,8 +121,6 @@ static void ggml_hexagon_dump_op_prof(const std::string &sess_name, const ggml_t uint32_t op_usec, uint32_t op_cycles, const uint32_t pmu[]) { if (!opt_profile) return; - op_desc desc(op); - char pmu_str[256] = ""; if (opt_profile > 1) { static_assert(HTP_PROF_PMU_NCNT == 8, "current implementation assumes 8 PMU counters"); @@ -127,6 +128,7 @@ static void ggml_hexagon_dump_op_prof(const std::string &sess_name, const ggml_t pmu[0], pmu[1], pmu[2], pmu[3], pmu[4], pmu[5], pmu[6], pmu[7]); } + op_desc desc(op); GGML_LOG_DEBUG("ggml-hex: %s profile-op %s: %s : %s : %s : %s : usec %u cycles %u%s\n", sess_name.c_str(), ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, op_usec, op_cycles, pmu_str); } @@ -191,33 +193,30 @@ struct ggml_hexagon_shared_buffer { bool mapped; bool pinned; - void mmap(bool pinned = false) { - int err = fastrpc_mmap(sess->domain_id, this->fd, (void *) this->base, 0, this->size, FASTRPC_MAP_FD_DELAYED); + void mmap() { + fastrpc_map_flags flags = this->pinned ? FASTRPC_MAP_FD : FASTRPC_MAP_FD_DELAYED; + + int err = fastrpc_mmap(sess->domain_id, this->fd, (void *) this->base, 0, this->size, flags); if (err != 0) { GGML_LOG_ERROR("ggml-hex: %s buffer mapping failed : domain_id %d size %zu fd %d error 0x%08x\n", sess->c_name(), sess->domain_id, this->size, this->fd, (unsigned) err); throw std::runtime_error("ggml-hex: fastrpc_mmap failed (see log for details)"); } - if (pinned) { - err = htp_iface_mmap(sess->handle, this->fd, this->size, pinned); - if (err != 0) { - GGML_LOG_ERROR("ggml-hex: %s buffer pinning failed : domain_id %d size %zu fd %d error 0x%08x\n", sess->c_name(), - sess->domain_id, this->size, this->fd, (unsigned) err); - throw std::runtime_error("ggml-hex: htp_iface_mmap failed (see log for details)"); - } - } - - this->mapped = true; - this->pinned = pinned; HEX_VERBOSE("ggml-hex: %s mapped buffer: base %p size %zu fd %d pinned %u\n", sess->c_name(), (void *) this->base, this->size, this->fd, pinned); + + this->mapped = true; } void unmap() { if (!this->mapped) return; - htp_iface_munmap(sess->handle, this->fd); + if (!this->pinned) { + // HTP might still hold a reference, tell it drop it + htp_iface_munmap(sess->handle, this->fd); + } + fastrpc_munmap(sess->domain_id, this->fd, (void *) this->base, this->size); HEX_VERBOSE("ggml-hex: %s unmapped buffer: base %p size %zu fd %d\n", sess->c_name(), @@ -227,7 +226,7 @@ struct ggml_hexagon_shared_buffer { this->fd = -1; } - void alloc(size_t size, bool pinned = false) { + void alloc(size_t size) { if (this->base) return; this->base = (uint8_t *) rpcmem_alloc2(RPCMEM_HEAP_ID_SYSTEM, RPCMEM_DEFAULT_FLAGS, size); @@ -245,8 +244,7 @@ struct ggml_hexagon_shared_buffer { HEX_VERBOSE("ggml-hex: %s allocated buffer: base %p size %zu fd %d pinned %d\n", sess->c_name(), (void *) this->base, this->size, this->fd, (int) pinned); - - mmap(pinned); + mmap(); } void free() { @@ -262,15 +260,14 @@ struct ggml_hexagon_shared_buffer { } ggml_hexagon_shared_buffer(ggml_hexagon_session * sess, size_t size, bool pinned = false) { - size += 4 * 1024; // extra page for padding - this->sess = sess; this->size = 0; this->base = nullptr; this->fd = -1; this->mapped = false; + this->pinned = pinned; - alloc(size, pinned); + alloc(size); } ~ggml_hexagon_shared_buffer() { @@ -1475,6 +1472,7 @@ static ggml_backend_buffer_t ggml_backend_hexagon_buffer_type_alloc_buffer( ggml_backend_buffer_type_t buffer_type, size_t size) { auto sess = static_cast(buffer_type->context)->sess; try { + size += 4 * 1024; // guard page ggml_hexagon_shared_buffer * sbuf = new ggml_hexagon_shared_buffer(sess, size); return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, sbuf, size); } catch (const std::exception & exc) { @@ -1487,6 +1485,7 @@ static ggml_backend_buffer_t ggml_backend_hexagon_repack_buffer_type_alloc_buffe ggml_backend_buffer_type_t buffer_type, size_t size) { auto sess = static_cast(buffer_type->context)->sess; try { + size += 4 * 1024; // guard page ggml_hexagon_shared_buffer * sbuf = new ggml_hexagon_shared_buffer(sess, size); return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, sbuf, size); } catch (const std::exception & exc) { @@ -1505,7 +1504,7 @@ static size_t ggml_backend_hexagon_buffer_type_get_alloc_size(ggml_backend_buffe } static size_t ggml_backend_hexagon_buffer_type_get_max_size(ggml_backend_buffer_type_t buffer_type) { - return 1UL * 1024 * 1024 * 1024; // 1GB per buffer + return opt_mbuf; // typically 1GB per buffer GGML_UNUSED(buffer_type); } @@ -1573,14 +1572,14 @@ struct ggml_hexagon_opbatch { d_map.clear(); } - ggml_hexagon_opbatch(ggml_hexagon_session *sess, size_t batch_size) { + ggml_hexagon_opbatch(ggml_hexagon_session *sess, size_t batch_size, size_t max_vmem) { this->sess = sess; n_bufs_max = HTP_OP_MAX_BUFS; n_ops_max = batch_size; n_tens_max = n_ops_max + n_ops_max * HTP_OP_MAX_INPUTS; - b_vmem_max = HTP_OP_MAX_VMEM; + b_vmem_max = max_vmem; ops.resize(n_ops_max); @@ -1592,6 +1591,9 @@ struct ggml_hexagon_opbatch { t_map.reserve(n_tens_max); d_map.reserve(n_tens_max); + GGML_LOG_INFO("ggml-hex: %s op batching: n-bufs %u n-tensors %u n-ops %u vmem %zu\n", + sess->c_name(), n_bufs_max, n_tens_max, n_ops_max, b_vmem_max); + reset(); } @@ -1925,6 +1927,8 @@ void ggml_hexagon_session::flush_batch() { // Bump pending flag (cleared in the session::flush once we get the response) this->op_pending++; // atomic inc + HEX_VERBOSE("ggml-hex: %s queue-opbatch: %p size %u\n", this->c_name(), dbuf.ptr, dbuf.size); + int err = dspqueue_write(this->queue, 0, 1, &dbuf, sizeof(req), (const uint8_t*) &req, DSPQUEUE_TIMEOUT); if (err != 0) { GGML_ABORT("ggml-hex: %s dspqueue_write failed: 0x%08x\n", this->c_name(), (unsigned) err); @@ -1944,6 +1948,35 @@ void ggml_hexagon_session::flush(bool all) { flush_pending(all); } +static size_t ggml_hexagon_measure_max_vmem(ggml_hexagon_session *sess) { + // Allocate a bunch pinned buffers till failure. + // This is kind of expensive but handy for figuring out exactly how much we can mmap on a specific device. + // Typically we're going to allocate all/most of these buffers anyway for the model weights. + + std::vector sbufs; + + const size_t MiB = 1024 * 1024; + const size_t GiB = MiB * 1024; + + size_t vmem = 0; + size_t step = 256u * MiB; + + try { + sbufs.push_back(new ggml_hexagon_shared_buffer(sess, GiB, true)); vmem += GiB; + sbufs.push_back(new ggml_hexagon_shared_buffer(sess, GiB, true)); vmem += GiB; + sbufs.push_back(new ggml_hexagon_shared_buffer(sess, GiB, true)); vmem += GiB; + + while (1) { + sbufs.push_back(new ggml_hexagon_shared_buffer(sess, step, true)); + vmem += step; + } + } catch (...) { } + + for (auto b : sbufs) { delete b; } + + return vmem - step; // backoff to account for overhead from internal mappings +} + void ggml_hexagon_session::allocate(int dev_id) noexcept(false) { this->valid_session = false; this->valid_handle = false; @@ -1957,7 +1990,7 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) { this->op_pending = 0; - GGML_LOG_INFO("ggml-hex: allocating new session: %s\n", this->name.c_str()); + GGML_LOG_DEBUG("ggml-hex: %s allocating new session\n", this->name.c_str()); domain * my_domain = get_domain(this->domain_id); if (my_domain == NULL) { @@ -2033,9 +2066,6 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) { this->valid_handle = true; - GGML_LOG_INFO("ggml-hex: new session: %s : session-id %d domain-id %d uri %s handle 0x%lx\n", this->name.c_str(), - this->session_id, this->domain_id, session_uri, (unsigned long) this->handle); - // Enable FastRPC QoS mode { struct remote_rpc_control_latency l; @@ -2047,6 +2077,9 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) { } } + GGML_LOG_INFO("ggml-hex: %s new session : session-id %d domain-id %d uri %s handle 0x%lx\n", this->c_name(), + this->session_id, this->domain_id, session_uri, (unsigned long) this->handle); + const size_t req_q_size = (sizeof(htp_opbatch_req) * opt_opqueue * 2) + 1024; const size_t rsp_q_size = (sizeof(htp_opbatch_rsp) * opt_opqueue * 2) + 1024; @@ -2091,13 +2124,19 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) { } // Allocate buffers and state for op batching - this->op_batch = new ggml_hexagon_opbatch(this, opt_opbatch); this->op_queue = new ggml_hexagon_opqueue(this, opt_opbatch, opt_opqueue); - // Start processing op batch requests - err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx, opt_use_hmx); + if (!opt_vmem) { + opt_vmem = ggml_hexagon_measure_max_vmem(this); + GGML_LOG_INFO("ggml-hex: %s measured max vmem %zu\n", this->c_name(), opt_vmem); + } + + this->op_batch = new ggml_hexagon_opbatch(this, opt_opbatch, opt_vmem); + + // Start dspqueue/opbatch processing + err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx, opt_use_hmx, opt_vmem); if (err != 0) { - GGML_LOG_ERROR("ggml-hex: failed to start session: 0x%08x\n", (unsigned) err); + GGML_LOG_ERROR("ggml-hex: %s failed to start session: 0x%08x\n", this->c_name(), (unsigned) err); throw std::runtime_error("ggml-hex: iface start failed (see log for details)"); } this->valid_iface = true; @@ -2108,17 +2147,17 @@ void ggml_hexagon_session::release() noexcept(true) { int err; - delete this->op_batch; - delete this->op_queue; - - // Stop the DSP-side service and close the queue if (this->valid_iface) { + // Stop dspqueue/opbatch processing err = htp_iface_stop(this->handle); if (err != 0) { GGML_ABORT("ggml-hex: htp_iface_stop failed: 0x%08x\n", (unsigned) err); } } + delete this->op_batch; + delete this->op_queue; + if (opt_etm) { err = htp_iface_etm(this->handle, 0); if (err != 0) { @@ -2215,14 +2254,65 @@ static bool ggml_hexagon_supported_flash_attn_ext(const struct ggml_hexagon_sess return false; } - if (dst->ne[2] != 1 || dst->ne[3] != 1) { - // FA during prompt still needs work + if (dst->ne[3] != 1) { return false; } return true; } +static bool ggml_hexagon_supported_gated_delta_net(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) { + const struct ggml_tensor * q = op->src[0]; + const struct ggml_tensor * k = op->src[1]; + const struct ggml_tensor * v = op->src[2]; + const struct ggml_tensor * g = op->src[3]; + const struct ggml_tensor * beta = op->src[4]; + const struct ggml_tensor * state = op->src[5]; + const struct ggml_tensor * dst = op; + + if (!q || !k || !v || !g || !beta || !state) { + return false; + } + + if (q->type != GGML_TYPE_F32 || k->type != GGML_TYPE_F32 || v->type != GGML_TYPE_F32 || + g->type != GGML_TYPE_F32 || beta->type != GGML_TYPE_F32 || state->type != GGML_TYPE_F32 || + dst->type != GGML_TYPE_F32) { + return false; + } + + if (!ggml_is_contiguous_rows(q) || !ggml_is_contiguous_rows(k) || !ggml_is_contiguous_rows(v) || + !ggml_is_contiguous(g) || !ggml_is_contiguous(beta) || !ggml_is_contiguous(state) || + !ggml_is_contiguous(dst)) { + return false; + } + + const int64_t S_v = v->ne[0]; + const int64_t H = v->ne[1]; + const int64_t n_tokens = v->ne[2]; + const int64_t n_seqs = v->ne[3]; + + if (S_v <= 0 || S_v > 128 || H <= 0 || n_tokens <= 0 || n_seqs <= 0) { + return false; + } + if (q->ne[0] != S_v || k->ne[0] != S_v || q->ne[1] <= 0 || k->ne[1] <= 0 || + q->ne[2] != n_tokens || k->ne[2] != n_tokens || q->ne[3] <= 0 || k->ne[3] <= 0 || + (n_seqs % q->ne[3]) != 0 || (n_seqs % k->ne[3]) != 0) { + return false; + } + if ((g->ne[0] != 1 && g->ne[0] != S_v) || beta->ne[0] != 1) { + return false; + } + if (ggml_nelements(state) != S_v * S_v * H * n_seqs) { + return false; + } + if (dst->ne[0] != S_v * H || dst->ne[1] != n_tokens * n_seqs + S_v * n_seqs) { + return false; + } + + GGML_UNUSED(sess); + return true; +} + static bool ggml_hexagon_supported_mul_mat(const struct ggml_hexagon_session * sess, const struct ggml_tensor * dst) { const struct ggml_tensor * src0 = dst->src[0]; const struct ggml_tensor * src1 = dst->src[1]; @@ -2382,8 +2472,8 @@ static bool ggml_hexagon_supported_unary(const struct ggml_hexagon_session * ses return false; } - // TODO: add support for non-contigiuos tensors - if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(dst)) { + // dst must be contiguous; src0 may be non-contiguous + if (!ggml_is_contiguous(dst)) { return false; } @@ -2739,32 +2829,34 @@ static void ggml_backend_hexagon_free(ggml_backend_t backend) { static htp_op_code op_remap_to_htp(const ggml_tensor * t) { switch (t->op) { - case GGML_OP_FLASH_ATTN_EXT: return HTP_OP_FLASH_ATTN_EXT; - case GGML_OP_MUL_MAT: return HTP_OP_MUL_MAT; - case GGML_OP_MUL_MAT_ID: return HTP_OP_MUL_MAT_ID; - case GGML_OP_MUL: return HTP_OP_MUL; - case GGML_OP_ADD: return HTP_OP_ADD; - case GGML_OP_ADD_ID: return HTP_OP_ADD_ID; - case GGML_OP_SUB: return HTP_OP_SUB; - case GGML_OP_DIV: return HTP_OP_DIV; - case GGML_OP_CPY: return HTP_OP_CPY; - case GGML_OP_CONT: return HTP_OP_CPY; - case GGML_OP_GET_ROWS: return HTP_OP_GET_ROWS; - case GGML_OP_SET_ROWS: return HTP_OP_SET_ROWS; - case GGML_OP_SUM_ROWS: return HTP_OP_SUM_ROWS; - case GGML_OP_ARGSORT: return HTP_OP_ARGSORT; - case GGML_OP_RMS_NORM: return HTP_OP_RMS_NORM; - case GGML_OP_SCALE: return HTP_OP_SCALE; - case GGML_OP_SQR: return HTP_OP_SQR; - case GGML_OP_SQRT: return HTP_OP_SQRT; - case GGML_OP_SOFT_MAX: return HTP_OP_SOFTMAX; - case GGML_OP_SSM_CONV: return HTP_OP_SSM_CONV; - case GGML_OP_ROPE: return HTP_OP_ROPE; - case GGML_OP_REPEAT: return HTP_OP_REPEAT; - case GGML_OP_CUMSUM: return HTP_OP_CUMSUM; - case GGML_OP_FILL: return HTP_OP_FILL; - case GGML_OP_DIAG: return HTP_OP_DIAG; - case GGML_OP_SOLVE_TRI: return HTP_OP_SOLVE_TRI; + case GGML_OP_FLASH_ATTN_EXT: return HTP_OP_FLASH_ATTN_EXT; + case GGML_OP_MUL_MAT: return HTP_OP_MUL_MAT; + case GGML_OP_MUL_MAT_ID: return HTP_OP_MUL_MAT_ID; + case GGML_OP_MUL: return HTP_OP_MUL; + case GGML_OP_ADD: return HTP_OP_ADD; + case GGML_OP_ADD_ID: return HTP_OP_ADD_ID; + case GGML_OP_SUB: return HTP_OP_SUB; + case GGML_OP_DIV: return HTP_OP_DIV; + case GGML_OP_CPY: return HTP_OP_CPY; + case GGML_OP_CONT: return HTP_OP_CPY; + case GGML_OP_GET_ROWS: return HTP_OP_GET_ROWS; + case GGML_OP_SET_ROWS: return HTP_OP_SET_ROWS; + case GGML_OP_SUM_ROWS: return HTP_OP_SUM_ROWS; + case GGML_OP_ARGSORT: return HTP_OP_ARGSORT; + case GGML_OP_L2_NORM: return HTP_OP_L2_NORM; + case GGML_OP_RMS_NORM: return HTP_OP_RMS_NORM; + case GGML_OP_SCALE: return HTP_OP_SCALE; + case GGML_OP_SQR: return HTP_OP_SQR; + case GGML_OP_SQRT: return HTP_OP_SQRT; + case GGML_OP_SOFT_MAX: return HTP_OP_SOFTMAX; + case GGML_OP_SSM_CONV: return HTP_OP_SSM_CONV; + case GGML_OP_GATED_DELTA_NET: return HTP_OP_GATED_DELTA_NET; + case GGML_OP_ROPE: return HTP_OP_ROPE; + case GGML_OP_REPEAT: return HTP_OP_REPEAT; + case GGML_OP_CUMSUM: return HTP_OP_CUMSUM; + case GGML_OP_FILL: return HTP_OP_FILL; + case GGML_OP_DIAG: return HTP_OP_DIAG; + case GGML_OP_SOLVE_TRI: return HTP_OP_SOLVE_TRI; case GGML_OP_UNARY: switch (ggml_get_unary_op(t)) { case GGML_UNARY_OP_SILU: return HTP_OP_UNARY_SILU; @@ -2773,6 +2865,7 @@ static htp_op_code op_remap_to_htp(const ggml_tensor * t) { case GGML_UNARY_OP_NEG: return HTP_OP_UNARY_NEG; case GGML_UNARY_OP_EXP: return HTP_OP_UNARY_EXP; case GGML_UNARY_OP_SOFTPLUS: return HTP_OP_UNARY_SOFTPLUS; + case GGML_UNARY_OP_TANH: return HTP_OP_UNARY_TANH; default: break; } @@ -2997,8 +3090,8 @@ static struct ggml_backend_i hexagon_backend_i = { /* .free = */ ggml_backend_hexagon_free, /* .set_tensor_async = */ NULL, /* .get_tensor_async = */ NULL, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, /* .synchronize = */ ggml_backend_hexagon_synchronize, /* .graph_plan_create = */ NULL, @@ -3215,6 +3308,10 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons supp = ggml_hexagon_supported_add_id(sess, op); break; + case GGML_OP_L2_NORM: + supp = ggml_hexagon_supported_unary(sess, op); + break; + case GGML_OP_RMS_NORM: case GGML_OP_SCALE: supp = ggml_hexagon_supported_unary(sess, op); @@ -3239,6 +3336,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons case GGML_UNARY_OP_EXP: case GGML_UNARY_OP_SIGMOID: case GGML_UNARY_OP_SOFTPLUS: + case GGML_UNARY_OP_TANH: supp = ggml_hexagon_supported_unary(sess, op); break; case GGML_UNARY_OP_SILU: @@ -3298,6 +3396,10 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons supp = ggml_hexagon_supported_ssm_conv(sess, op); break; + case GGML_OP_GATED_DELTA_NET: + supp = ggml_hexagon_supported_gated_delta_net(sess, op); + break; + case GGML_OP_CUMSUM: supp = ggml_hexagon_supported_cumsum(sess, op); break; @@ -3380,21 +3482,6 @@ struct ggml_hexagon_registry { ggml_hexagon_registry::ggml_hexagon_registry(ggml_backend_reg_t reg) { GGML_LOG_INFO("ggml-hex: Hexagon backend (experimental) : allocating new registry : ndev %zu\n", opt_ndev); - if (!opt_arch) { - int err = get_hex_arch_ver(CDSP_DOMAIN_ID, &opt_arch); - if (err != 0) { - GGML_LOG_ERROR("ggml-hex: failed to query HTP version (err %d) defaulting to v73\n", err); - opt_arch = 73; - } - } - -#if defined(__ANDROID__) - if (opt_arch < 75) { - opt_ndev = 1; - GGML_LOG_WARN("ggml-hex: forcing ndev to 1 for SoCs archs lower than v75.\n"); - } -#endif - GGML_LOG_INFO("ggml-hex: Hexagon Arch version v%d\n", opt_arch); // Create devices / sessions @@ -3480,32 +3567,67 @@ static void ggml_hexagon_init(ggml_backend_reg * reg) { static_assert((unsigned int) HTP_TYPE_IQ4_NL == (unsigned int) GGML_TYPE_IQ4_NL, "please update hexagon_type to match ggml_type"); - const char * str_verbose = getenv("GGML_HEXAGON_VERBOSE"); - const char * str_hostbuf = getenv("GGML_HEXAGON_HOSTBUF"); - const char * str_opstage = getenv("GGML_HEXAGON_OPSTAGE"); - const char * str_opbatch = getenv("GGML_HEXAGON_OPBATCH"); - const char * str_opqueue = getenv("GGML_HEXAGON_OPQUEUE"); - const char * str_opfilter= getenv("GGML_HEXAGON_OPFILTER"); - const char * str_profile = getenv("GGML_HEXAGON_PROFILE"); - const char * str_etm = getenv("GGML_HEXAGON_ETM"); - const char * str_nhvx = getenv("GGML_HEXAGON_NHVX"); - const char * str_use_hmx = getenv("GGML_HEXAGON_USE_HMX"); - const char * str_ndev = getenv("GGML_HEXAGON_NDEV"); - const char * str_arch = getenv("GGML_HEXAGON_ARCH"); + const char * str_verbose = getenv("GGML_HEXAGON_VERBOSE"); + const char * str_hostbuf = getenv("GGML_HEXAGON_HOSTBUF"); + const char * str_opstage = getenv("GGML_HEXAGON_OPSTAGE"); + const char * str_opbatch = getenv("GGML_HEXAGON_OPBATCH"); + const char * str_opqueue = getenv("GGML_HEXAGON_OPQUEUE"); + const char * str_opfilter = getenv("GGML_HEXAGON_OPFILTER"); + const char * str_profile = getenv("GGML_HEXAGON_PROFILE"); + const char * str_etm = getenv("GGML_HEXAGON_ETM"); + const char * str_nhvx = getenv("GGML_HEXAGON_NHVX"); + const char * str_use_hmx = getenv("GGML_HEXAGON_USE_HMX"); + const char * str_ndev = getenv("GGML_HEXAGON_NDEV"); + const char * str_arch = getenv("GGML_HEXAGON_ARCH"); + const char * str_vmem = getenv("GGML_HEXAGON_VMEM"); + const char * str_mbuf = getenv("GGML_HEXAGON_MBUF"); + + // Init Arch first since it affects other defaults + if (!str_arch) { + int err = get_hex_arch_ver(CDSP_DOMAIN_ID, &opt_arch); + if (err != 0) { + GGML_LOG_ERROR("ggml-hex: failed to query HTP version (err %d) defaulting to v73\n", err); + opt_arch = 73; + } + } else { + if (str_arch[0] == 'v' || str_arch[0] == 'V') { + str_arch++; + } + opt_arch = strtoul(str_arch, NULL, 0); + } + + size_t MiB = 1024 * 1024; + + // Update vmem default + opt_vmem = opt_arch >= 75 ? HTP_OP_MAX_VMEM_DEFAULT : 3000 * MiB; auto RE_ICASE = std::regex_constants::icase; - opt_opfilter = str_opfilter ? new std::regex(str_opfilter, RE_ICASE) : NULL; - opt_verbose = str_verbose ? atoi(str_verbose) : 0; - opt_hostbuf = str_hostbuf ? atoi(str_hostbuf) : opt_hostbuf; - opt_opstage = str_opstage ? strtoul(str_opstage, NULL, 0) : opt_opstage; - opt_opbatch = str_opbatch ? strtoul(str_opbatch, NULL, 0) : opt_opbatch; - opt_opqueue = str_opqueue ? strtoul(str_opqueue, NULL, 0) : opt_opqueue; - opt_etm = str_etm ? atoi(str_etm) : 0; - opt_nhvx = str_nhvx ? strtoul(str_nhvx, NULL, 0) : opt_nhvx; - opt_use_hmx = str_use_hmx ? atoi(str_use_hmx) : opt_use_hmx; - opt_ndev = str_ndev ? strtoul(str_ndev, NULL, 0) : opt_ndev; - opt_hostbuf = str_hostbuf ? atoi(str_hostbuf) : opt_hostbuf; + opt_opfilter = str_opfilter ? new std::regex(str_opfilter, RE_ICASE) : NULL; + opt_verbose = str_verbose ? atoi(str_verbose) : 0; + opt_hostbuf = str_hostbuf ? atoi(str_hostbuf) : opt_hostbuf; + opt_opstage = str_opstage ? strtoul(str_opstage, NULL, 0) : opt_opstage; + opt_opbatch = str_opbatch ? strtoul(str_opbatch, NULL, 0) : opt_opbatch; + opt_opqueue = str_opqueue ? strtoul(str_opqueue, NULL, 0) : opt_opqueue; + opt_profile = str_profile ? atoi(str_profile) : 0; + opt_etm = str_etm ? atoi(str_etm) : 0; + opt_nhvx = str_nhvx ? strtoul(str_nhvx, NULL, 0) : opt_nhvx; + opt_use_hmx = str_use_hmx ? atoi(str_use_hmx) : opt_use_hmx; + opt_ndev = str_ndev ? strtoul(str_ndev, NULL, 0) : opt_ndev; + opt_hostbuf = str_hostbuf ? atoi(str_hostbuf) : opt_hostbuf; + opt_mbuf = str_mbuf ? strtoul(str_mbuf, NULL, 0) * MiB : opt_mbuf; + opt_vmem = str_vmem ? strtoul(str_vmem, NULL, 0) * MiB : opt_vmem; + + if (opt_ndev > GGML_HEXAGON_MAX_SESSIONS) { + opt_ndev = GGML_HEXAGON_MAX_SESSIONS; + } + +#if defined(__ANDROID__) + if (opt_arch < 75) { + opt_ndev = 1; + GGML_LOG_WARN("ggml-hex: forcing ndev to 1 for SoCs archs lower than v75.\n"); + } +#endif if (str_profile) { opt_pmu_evt = [&]() -> std::vector { @@ -3520,17 +3642,6 @@ static void ggml_hexagon_init(ggml_backend_reg * reg) { vec_to_str(opt_pmu_evt).c_str()); } - if (opt_ndev > GGML_HEXAGON_MAX_SESSIONS) { - opt_ndev = GGML_HEXAGON_MAX_SESSIONS; - } - - if (str_arch) { - if (str_arch[0] == 'v') { - str_arch++; - } - opt_arch = strtoul(str_arch, NULL, 0); - } - reg->context = new ggml_hexagon_registry(reg); } diff --git a/ggml/src/ggml-hexagon/htp/CMakeLists.txt b/ggml/src/ggml-hexagon/htp/CMakeLists.txt index 8bd528478b..bcadac11f9 100644 --- a/ggml/src/ggml-hexagon/htp/CMakeLists.txt +++ b/ggml/src/ggml-hexagon/htp/CMakeLists.txt @@ -37,6 +37,7 @@ add_library(${HTP_LIB} SHARED fill-ops.c diag-ops.c solve-tri-ops.c + gated-delta-net-ops.c ) target_compile_definitions(${HTP_LIB} PRIVATE @@ -44,6 +45,11 @@ target_compile_definitions(${HTP_LIB} PRIVATE $,FARF_HIGH=1,> FP32_QUANTIZE_GROUP_SIZE=${GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE}) +if (GGML_HEXAGON_FA_EXP2_HF) + message(STATUS "ggml-htp: HMX_FA_USE_EXP2_HF=1 (use FP16 exp2 polynomial in FA softmax)") + target_compile_definitions(${HTP_LIB} PRIVATE HMX_FA_USE_EXP2_HF=1) +endif() + # HMX acceleration: available on v73+ architectures set(HTP_HMX_VERSIONS v73 v75 v79 v81) list(FIND HTP_HMX_VERSIONS ${DSP_VERSION} _hmx_idx) @@ -52,11 +58,13 @@ if (_hmx_idx GREATER_EQUAL 0) target_sources(${HTP_LIB} PRIVATE hmx-queue.c hmx-matmul-ops.c + hmx-flash-attn-ops.c ) # -mhmx enables HMX instruction set (needed by files that include hmx-utils.h) set_source_files_properties( hmx-matmul-ops.c + hmx-flash-attn-ops.c PROPERTIES COMPILE_OPTIONS "-mhmx" ) diff --git a/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake b/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake index 7fa236e328..ed5c198468 100644 --- a/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake +++ b/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake @@ -138,15 +138,15 @@ set(CMAKE_SHARED_LIBRARY_SONAME_C_FLAG "-Wl,-soname,") set(CMAKE_SHARED_LIBRARY_SONAME_CXX_FLAG "-Wl,-soname,") #Compiler Options -set(COMMON_FLAGS "-mcpu=hexagon${V_ARCH} -m${V_ARCH} -mhvx=${V_ARCH} -fvectorize -Wall -Werror -fno-zero-initialized-in-bss -G0 -fdata-sections -fpic ${XQF_ARGS}") +set(COMMON_FLAGS "-mcpu=hexagon${V_ARCH} -m${V_ARCH} -mhvx=${V_ARCH} -fvectorize -flto -Wall -Werror -fno-zero-initialized-in-bss -G0 -fdata-sections -fpic ${XQF_ARGS}") set(CMAKE_CXX_FLAGS_DEBUG "${COMMON_FLAGS} -O0 -D_DEBUG -g") -set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O3 -g") -set(CMAKE_CXX_FLAGS_RELEASE "${COMMON_FLAGS} -O3") +set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O2 -g") +set(CMAKE_CXX_FLAGS_RELEASE "${COMMON_FLAGS} -O2") set(CMAKE_C_FLAGS_DEBUG "${COMMON_FLAGS} -O0 -D_DEBUG -g") -set(CMAKE_C_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O3 -g") -set(CMAKE_C_FLAGS_RELEASE "${COMMON_FLAGS} -O3") +set(CMAKE_C_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O2 -g") +set(CMAKE_C_FLAGS_RELEASE "${COMMON_FLAGS} -O2") set(CMAKE_ASM_FLAGS_DEBUG "${COMMON_FLAGS} ${CMAKE_CXX_FLAGS_DEBUG}") set(CMAKE_ASM_FLAGS_RELEASE "${COMMON_FLAGS} ${CMAKE_CXX_FLAGS_RELEASE}") diff --git a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c index d296a32258..d95df6ac9d 100644 --- a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c +++ b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c @@ -17,13 +17,14 @@ #include "htp-ctx.h" #include "htp-ops.h" #include "htp-ops.h" +#include "hmx-ops.h" // Must be multiple of 32 #define FLASH_ATTN_BLOCK_SIZE (32 * 2) // This is a bit of a hack because the compiler is strugling to properly inline // the default hvx_vec_f32_to_f16 with output into the local array. -static void __attribute__((noinline)) hvx_vec_f32_to_f16_a(void *ptr, HVX_Vector v0, HVX_Vector v1) +static __attribute__((noinline)) void hvx_vec_f32_to_f16_a(void *ptr, HVX_Vector v0, HVX_Vector v1) { *(HVX_Vector *) ptr = hvx_vec_f32_to_f16(v0, v1); } @@ -621,6 +622,17 @@ int op_flash_attn_ext(struct htp_ops_context * octx) { return HTP_STATUS_NO_SUPPORT; } +#ifdef HTP_HAS_HMX + // HMX path: prefill (neq1 >= 32), head_dim multiple of 32, F16 KV + if (k->type == HTP_TYPE_F16 && v->type == HTP_TYPE_F16 && k->ne[0] % 32 == 0 && q->ne[1] >= 32) { + int ret = hmx_flash_attn_ext(octx); + if (ret == HTP_STATUS_OK) { + return ret; + } + // VTCM too small or other failure -> fall through to HVX path + } +#endif + struct htp_fa_context factx; factx.octx = octx; diff --git a/ggml/src/ggml-hexagon/htp/gated-delta-net-ops.c b/ggml/src/ggml-hexagon/htp/gated-delta-net-ops.c new file mode 100644 index 0000000000..2e84badc9b --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/gated-delta-net-ops.c @@ -0,0 +1,955 @@ +#include +#include +#include + +#include "hvx-utils.h" + +#define GGML_COMMON_DECL_C +#include "ggml-common.h" +#include "htp-ctx.h" + +#ifndef MIN +#define MIN(a, b) ((a) < (b) ? (a) : (b)) +#endif + +#define HTP_GDN_MAX_SV 128 + +struct htp_gdn_context { + struct htp_ops_context * octx; + uint32_t rows_per_thread; + size_t state_bytes; + bool use_vtcm; + uint8_t * vtcm_state_base; + size_t vtcm_state_per_thread; +}; + +static inline float gdn_mul_dot_f32(float * restrict dst, const float * restrict mul, + const float * restrict dot, uint32_t n) { + HVX_Vector acc = Q6_V_vzero(); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vd = hvx_vmemu(dst + i * epv); + HVX_Vector vm = hvx_vmem(mul + i * epv); + HVX_Vector vdot = hvx_vmem(dot + i * epv); + HVX_Vector out = hvx_vec_mul_f32_f32(vd, vm); + hvx_vmemu(dst + i * epv) = out; + acc = hvx_vec_add_f32_f32(acc, hvx_vec_mul_f32_f32(out, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vd = hvx_vmemu(dst + off); + HVX_Vector vm = hvx_vmem(mul + off); + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_Vector out = hvx_vec_mul_f32_f32(vd, vm); + hvx_vec_store_u(dst + off, tail * sizeof(float), out); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector prod = hvx_vec_mul_f32_f32(out, vdot); + acc = hvx_vec_add_f32_f32(acc, Q6_V_vmux_QVV(mask, prod, Q6_V_vzero())); + } + + return hvx_vec_get_f32(hvx_vec_reduce_sum_f32(acc)); +} + +static inline float gdn_mul_scalar_dot_f32(float * restrict dst, float mul, + const float * restrict dot, uint32_t n) { + HVX_Vector acc = Q6_V_vzero(); + const HVX_Vector vmul = hvx_vec_splat_f32(mul); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vd = hvx_vmemu(dst + i * epv); + HVX_Vector vdot = hvx_vmem(dot + i * epv); + HVX_Vector out = hvx_vec_mul_f32_f32(vd, vmul); + hvx_vmemu(dst + i * epv) = out; + acc = hvx_vec_add_f32_f32(acc, hvx_vec_mul_f32_f32(out, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vd = hvx_vmemu(dst + off); + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_Vector out = hvx_vec_mul_f32_f32(vd, vmul); + hvx_vec_store_u(dst + off, tail * sizeof(float), out); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector prod = hvx_vec_mul_f32_f32(out, vdot); + acc = hvx_vec_add_f32_f32(acc, Q6_V_vmux_QVV(mask, prod, Q6_V_vzero())); + } + + return hvx_vec_get_f32(hvx_vec_reduce_sum_f32(acc)); +} + +static inline float gdn_add_scaled_dot_f32(float * restrict dst, const float * restrict src, + float scale, const float * restrict dot, uint32_t n) { + HVX_Vector acc = Q6_V_vzero(); + const HVX_Vector vscale = hvx_vec_splat_f32(scale); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vd = hvx_vmemu(dst + i * epv); + HVX_Vector vs = hvx_vmem(src + i * epv); + HVX_Vector vdot = hvx_vmem(dot + i * epv); + HVX_Vector out = hvx_vec_add_f32_f32(vd, hvx_vec_mul_f32_f32(vs, vscale)); + hvx_vmemu(dst + i * epv) = out; + acc = hvx_vec_add_f32_f32(acc, hvx_vec_mul_f32_f32(out, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vd = hvx_vmemu(dst + off); + HVX_Vector vs = hvx_vmem(src + off); + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_Vector out = hvx_vec_add_f32_f32(vd, hvx_vec_mul_f32_f32(vs, vscale)); + hvx_vec_store_u(dst + off, tail * sizeof(float), out); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector prod = hvx_vec_mul_f32_f32(out, vdot); + acc = hvx_vec_add_f32_f32(acc, Q6_V_vmux_QVV(mask, prod, Q6_V_vzero())); + } + + return hvx_vec_get_f32(hvx_vec_reduce_sum_f32(acc)); +} + +static inline void gdn_mul_dot4_f32(float * restrict dst0, float * restrict dst1, + float * restrict dst2, float * restrict dst3, const float * restrict mul, + const float * restrict dot, uint32_t n, float * restrict sums) { + HVX_Vector acc0 = Q6_V_vzero(); + HVX_Vector acc1 = Q6_V_vzero(); + HVX_Vector acc2 = Q6_V_vzero(); + HVX_Vector acc3 = Q6_V_vzero(); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vm = hvx_vmem(mul + i * epv); + HVX_Vector vdot = hvx_vmem(dot + i * epv); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + i * epv), vm); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + i * epv), vm); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + i * epv), vm); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + i * epv), vm); + + hvx_vmemu(dst0 + i * epv) = out0; + hvx_vmemu(dst1 + i * epv) = out1; + hvx_vmemu(dst2 + i * epv) = out2; + hvx_vmemu(dst3 + i * epv) = out3; + + acc0 = hvx_vec_add_f32_f32(acc0, hvx_vec_mul_f32_f32(out0, vdot)); + acc1 = hvx_vec_add_f32_f32(acc1, hvx_vec_mul_f32_f32(out1, vdot)); + acc2 = hvx_vec_add_f32_f32(acc2, hvx_vec_mul_f32_f32(out2, vdot)); + acc3 = hvx_vec_add_f32_f32(acc3, hvx_vec_mul_f32_f32(out3, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vm = hvx_vmem(mul + off); + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector zero = Q6_V_vzero(); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + off), vm); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + off), vm); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + off), vm); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + off), vm); + + hvx_vec_store_u(dst0 + off, tail * sizeof(float), out0); + hvx_vec_store_u(dst1 + off, tail * sizeof(float), out1); + hvx_vec_store_u(dst2 + off, tail * sizeof(float), out2); + hvx_vec_store_u(dst3 + off, tail * sizeof(float), out3); + + acc0 = hvx_vec_add_f32_f32(acc0, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out0, vdot), zero)); + acc1 = hvx_vec_add_f32_f32(acc1, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out1, vdot), zero)); + acc2 = hvx_vec_add_f32_f32(acc2, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out2, vdot), zero)); + acc3 = hvx_vec_add_f32_f32(acc3, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out3, vdot), zero)); + } + + HVX_Vector_x4 acc = { .v = { acc0, acc1, acc2, acc3 } }; + hvx_vec_store_u(sums, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(acc)); +} + +static inline void gdn_mul_scalar_dot4_f32(float * restrict dst0, float * restrict dst1, + float * restrict dst2, float * restrict dst3, float mul, + const float * restrict dot, uint32_t n, float * restrict sums) { + HVX_Vector acc0 = Q6_V_vzero(); + HVX_Vector acc1 = Q6_V_vzero(); + HVX_Vector acc2 = Q6_V_vzero(); + HVX_Vector acc3 = Q6_V_vzero(); + const HVX_Vector vmul = hvx_vec_splat_f32(mul); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vdot = hvx_vmem(dot + i * epv); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + i * epv), vmul); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + i * epv), vmul); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + i * epv), vmul); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + i * epv), vmul); + + hvx_vmemu(dst0 + i * epv) = out0; + hvx_vmemu(dst1 + i * epv) = out1; + hvx_vmemu(dst2 + i * epv) = out2; + hvx_vmemu(dst3 + i * epv) = out3; + + acc0 = hvx_vec_add_f32_f32(acc0, hvx_vec_mul_f32_f32(out0, vdot)); + acc1 = hvx_vec_add_f32_f32(acc1, hvx_vec_mul_f32_f32(out1, vdot)); + acc2 = hvx_vec_add_f32_f32(acc2, hvx_vec_mul_f32_f32(out2, vdot)); + acc3 = hvx_vec_add_f32_f32(acc3, hvx_vec_mul_f32_f32(out3, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector zero = Q6_V_vzero(); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + off), vmul); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + off), vmul); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + off), vmul); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + off), vmul); + + hvx_vec_store_u(dst0 + off, tail * sizeof(float), out0); + hvx_vec_store_u(dst1 + off, tail * sizeof(float), out1); + hvx_vec_store_u(dst2 + off, tail * sizeof(float), out2); + hvx_vec_store_u(dst3 + off, tail * sizeof(float), out3); + + acc0 = hvx_vec_add_f32_f32(acc0, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out0, vdot), zero)); + acc1 = hvx_vec_add_f32_f32(acc1, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out1, vdot), zero)); + acc2 = hvx_vec_add_f32_f32(acc2, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out2, vdot), zero)); + acc3 = hvx_vec_add_f32_f32(acc3, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out3, vdot), zero)); + } + + HVX_Vector_x4 acc = { .v = { acc0, acc1, acc2, acc3 } }; + hvx_vec_store_u(sums, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(acc)); +} + +static inline void gdn_add_scaled_dot4_f32(float * restrict dst0, float * restrict dst1, + float * restrict dst2, float * restrict dst3, const float * restrict src, + const float * restrict scale, const float * restrict dot, uint32_t n, + float * restrict sums) { + HVX_Vector acc0 = Q6_V_vzero(); + HVX_Vector acc1 = Q6_V_vzero(); + HVX_Vector acc2 = Q6_V_vzero(); + HVX_Vector acc3 = Q6_V_vzero(); + const HVX_Vector scale0 = hvx_vec_splat_f32(scale[0]); + const HVX_Vector scale1 = hvx_vec_splat_f32(scale[1]); + const HVX_Vector scale2 = hvx_vec_splat_f32(scale[2]); + const HVX_Vector scale3 = hvx_vec_splat_f32(scale[3]); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vs = hvx_vmem(src + i * epv); + HVX_Vector vdot = hvx_vmem(dot + i * epv); + + HVX_Vector out0 = hvx_vec_add_f32_f32(hvx_vmemu(dst0 + i * epv), hvx_vec_mul_f32_f32(vs, scale0)); + HVX_Vector out1 = hvx_vec_add_f32_f32(hvx_vmemu(dst1 + i * epv), hvx_vec_mul_f32_f32(vs, scale1)); + HVX_Vector out2 = hvx_vec_add_f32_f32(hvx_vmemu(dst2 + i * epv), hvx_vec_mul_f32_f32(vs, scale2)); + HVX_Vector out3 = hvx_vec_add_f32_f32(hvx_vmemu(dst3 + i * epv), hvx_vec_mul_f32_f32(vs, scale3)); + + hvx_vmemu(dst0 + i * epv) = out0; + hvx_vmemu(dst1 + i * epv) = out1; + hvx_vmemu(dst2 + i * epv) = out2; + hvx_vmemu(dst3 + i * epv) = out3; + + acc0 = hvx_vec_add_f32_f32(acc0, hvx_vec_mul_f32_f32(out0, vdot)); + acc1 = hvx_vec_add_f32_f32(acc1, hvx_vec_mul_f32_f32(out1, vdot)); + acc2 = hvx_vec_add_f32_f32(acc2, hvx_vec_mul_f32_f32(out2, vdot)); + acc3 = hvx_vec_add_f32_f32(acc3, hvx_vec_mul_f32_f32(out3, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vs = hvx_vmem(src + off); + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector zero = Q6_V_vzero(); + + HVX_Vector out0 = hvx_vec_add_f32_f32(hvx_vmemu(dst0 + off), hvx_vec_mul_f32_f32(vs, scale0)); + HVX_Vector out1 = hvx_vec_add_f32_f32(hvx_vmemu(dst1 + off), hvx_vec_mul_f32_f32(vs, scale1)); + HVX_Vector out2 = hvx_vec_add_f32_f32(hvx_vmemu(dst2 + off), hvx_vec_mul_f32_f32(vs, scale2)); + HVX_Vector out3 = hvx_vec_add_f32_f32(hvx_vmemu(dst3 + off), hvx_vec_mul_f32_f32(vs, scale3)); + + hvx_vec_store_u(dst0 + off, tail * sizeof(float), out0); + hvx_vec_store_u(dst1 + off, tail * sizeof(float), out1); + hvx_vec_store_u(dst2 + off, tail * sizeof(float), out2); + hvx_vec_store_u(dst3 + off, tail * sizeof(float), out3); + + acc0 = hvx_vec_add_f32_f32(acc0, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out0, vdot), zero)); + acc1 = hvx_vec_add_f32_f32(acc1, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out1, vdot), zero)); + acc2 = hvx_vec_add_f32_f32(acc2, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out2, vdot), zero)); + acc3 = hvx_vec_add_f32_f32(acc3, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out3, vdot), zero)); + } + + HVX_Vector_x4 acc = { .v = { acc0, acc1, acc2, acc3 } }; + hvx_vec_store_u(sums, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(acc)); +} + +static inline void gdn_mul_dot8_f32(float * restrict dst0, float * restrict dst1, + float * restrict dst2, float * restrict dst3, float * restrict dst4, + float * restrict dst5, float * restrict dst6, float * restrict dst7, + const float * restrict mul, const float * restrict dot, uint32_t n, + float * restrict sums) { + HVX_Vector acc0 = Q6_V_vzero(); + HVX_Vector acc1 = Q6_V_vzero(); + HVX_Vector acc2 = Q6_V_vzero(); + HVX_Vector acc3 = Q6_V_vzero(); + HVX_Vector acc4 = Q6_V_vzero(); + HVX_Vector acc5 = Q6_V_vzero(); + HVX_Vector acc6 = Q6_V_vzero(); + HVX_Vector acc7 = Q6_V_vzero(); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vm = hvx_vmem(mul + i * epv); + HVX_Vector vdot = hvx_vmem(dot + i * epv); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + i * epv), vm); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + i * epv), vm); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + i * epv), vm); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + i * epv), vm); + HVX_Vector out4 = hvx_vec_mul_f32_f32(hvx_vmemu(dst4 + i * epv), vm); + HVX_Vector out5 = hvx_vec_mul_f32_f32(hvx_vmemu(dst5 + i * epv), vm); + HVX_Vector out6 = hvx_vec_mul_f32_f32(hvx_vmemu(dst6 + i * epv), vm); + HVX_Vector out7 = hvx_vec_mul_f32_f32(hvx_vmemu(dst7 + i * epv), vm); + + hvx_vmemu(dst0 + i * epv) = out0; + hvx_vmemu(dst1 + i * epv) = out1; + hvx_vmemu(dst2 + i * epv) = out2; + hvx_vmemu(dst3 + i * epv) = out3; + hvx_vmemu(dst4 + i * epv) = out4; + hvx_vmemu(dst5 + i * epv) = out5; + hvx_vmemu(dst6 + i * epv) = out6; + hvx_vmemu(dst7 + i * epv) = out7; + + acc0 = hvx_vec_add_f32_f32(acc0, hvx_vec_mul_f32_f32(out0, vdot)); + acc1 = hvx_vec_add_f32_f32(acc1, hvx_vec_mul_f32_f32(out1, vdot)); + acc2 = hvx_vec_add_f32_f32(acc2, hvx_vec_mul_f32_f32(out2, vdot)); + acc3 = hvx_vec_add_f32_f32(acc3, hvx_vec_mul_f32_f32(out3, vdot)); + acc4 = hvx_vec_add_f32_f32(acc4, hvx_vec_mul_f32_f32(out4, vdot)); + acc5 = hvx_vec_add_f32_f32(acc5, hvx_vec_mul_f32_f32(out5, vdot)); + acc6 = hvx_vec_add_f32_f32(acc6, hvx_vec_mul_f32_f32(out6, vdot)); + acc7 = hvx_vec_add_f32_f32(acc7, hvx_vec_mul_f32_f32(out7, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vm = hvx_vmem(mul + off); + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector zero = Q6_V_vzero(); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + off), vm); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + off), vm); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + off), vm); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + off), vm); + HVX_Vector out4 = hvx_vec_mul_f32_f32(hvx_vmemu(dst4 + off), vm); + HVX_Vector out5 = hvx_vec_mul_f32_f32(hvx_vmemu(dst5 + off), vm); + HVX_Vector out6 = hvx_vec_mul_f32_f32(hvx_vmemu(dst6 + off), vm); + HVX_Vector out7 = hvx_vec_mul_f32_f32(hvx_vmemu(dst7 + off), vm); + + hvx_vec_store_u(dst0 + off, tail * sizeof(float), out0); + hvx_vec_store_u(dst1 + off, tail * sizeof(float), out1); + hvx_vec_store_u(dst2 + off, tail * sizeof(float), out2); + hvx_vec_store_u(dst3 + off, tail * sizeof(float), out3); + hvx_vec_store_u(dst4 + off, tail * sizeof(float), out4); + hvx_vec_store_u(dst5 + off, tail * sizeof(float), out5); + hvx_vec_store_u(dst6 + off, tail * sizeof(float), out6); + hvx_vec_store_u(dst7 + off, tail * sizeof(float), out7); + + acc0 = hvx_vec_add_f32_f32(acc0, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out0, vdot), zero)); + acc1 = hvx_vec_add_f32_f32(acc1, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out1, vdot), zero)); + acc2 = hvx_vec_add_f32_f32(acc2, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out2, vdot), zero)); + acc3 = hvx_vec_add_f32_f32(acc3, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out3, vdot), zero)); + acc4 = hvx_vec_add_f32_f32(acc4, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out4, vdot), zero)); + acc5 = hvx_vec_add_f32_f32(acc5, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out5, vdot), zero)); + acc6 = hvx_vec_add_f32_f32(acc6, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out6, vdot), zero)); + acc7 = hvx_vec_add_f32_f32(acc7, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out7, vdot), zero)); + } + + HVX_Vector_x4 accA = { .v = { acc0, acc1, acc2, acc3 } }; + HVX_Vector_x4 accB = { .v = { acc4, acc5, acc6, acc7 } }; + hvx_vec_store_u(sums + 0, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(accA)); + hvx_vec_store_u(sums + 4, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(accB)); +} + +static inline void gdn_mul_scalar_dot8_f32(float * restrict dst0, float * restrict dst1, + float * restrict dst2, float * restrict dst3, float * restrict dst4, + float * restrict dst5, float * restrict dst6, float * restrict dst7, + float mul, const float * restrict dot, uint32_t n, float * restrict sums) { + HVX_Vector acc0 = Q6_V_vzero(); + HVX_Vector acc1 = Q6_V_vzero(); + HVX_Vector acc2 = Q6_V_vzero(); + HVX_Vector acc3 = Q6_V_vzero(); + HVX_Vector acc4 = Q6_V_vzero(); + HVX_Vector acc5 = Q6_V_vzero(); + HVX_Vector acc6 = Q6_V_vzero(); + HVX_Vector acc7 = Q6_V_vzero(); + const HVX_Vector vmul = hvx_vec_splat_f32(mul); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vdot = hvx_vmem(dot + i * epv); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + i * epv), vmul); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + i * epv), vmul); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + i * epv), vmul); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + i * epv), vmul); + HVX_Vector out4 = hvx_vec_mul_f32_f32(hvx_vmemu(dst4 + i * epv), vmul); + HVX_Vector out5 = hvx_vec_mul_f32_f32(hvx_vmemu(dst5 + i * epv), vmul); + HVX_Vector out6 = hvx_vec_mul_f32_f32(hvx_vmemu(dst6 + i * epv), vmul); + HVX_Vector out7 = hvx_vec_mul_f32_f32(hvx_vmemu(dst7 + i * epv), vmul); + + hvx_vmemu(dst0 + i * epv) = out0; + hvx_vmemu(dst1 + i * epv) = out1; + hvx_vmemu(dst2 + i * epv) = out2; + hvx_vmemu(dst3 + i * epv) = out3; + hvx_vmemu(dst4 + i * epv) = out4; + hvx_vmemu(dst5 + i * epv) = out5; + hvx_vmemu(dst6 + i * epv) = out6; + hvx_vmemu(dst7 + i * epv) = out7; + + acc0 = hvx_vec_add_f32_f32(acc0, hvx_vec_mul_f32_f32(out0, vdot)); + acc1 = hvx_vec_add_f32_f32(acc1, hvx_vec_mul_f32_f32(out1, vdot)); + acc2 = hvx_vec_add_f32_f32(acc2, hvx_vec_mul_f32_f32(out2, vdot)); + acc3 = hvx_vec_add_f32_f32(acc3, hvx_vec_mul_f32_f32(out3, vdot)); + acc4 = hvx_vec_add_f32_f32(acc4, hvx_vec_mul_f32_f32(out4, vdot)); + acc5 = hvx_vec_add_f32_f32(acc5, hvx_vec_mul_f32_f32(out5, vdot)); + acc6 = hvx_vec_add_f32_f32(acc6, hvx_vec_mul_f32_f32(out6, vdot)); + acc7 = hvx_vec_add_f32_f32(acc7, hvx_vec_mul_f32_f32(out7, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector zero = Q6_V_vzero(); + + HVX_Vector out0 = hvx_vec_mul_f32_f32(hvx_vmemu(dst0 + off), vmul); + HVX_Vector out1 = hvx_vec_mul_f32_f32(hvx_vmemu(dst1 + off), vmul); + HVX_Vector out2 = hvx_vec_mul_f32_f32(hvx_vmemu(dst2 + off), vmul); + HVX_Vector out3 = hvx_vec_mul_f32_f32(hvx_vmemu(dst3 + off), vmul); + HVX_Vector out4 = hvx_vec_mul_f32_f32(hvx_vmemu(dst4 + off), vmul); + HVX_Vector out5 = hvx_vec_mul_f32_f32(hvx_vmemu(dst5 + off), vmul); + HVX_Vector out6 = hvx_vec_mul_f32_f32(hvx_vmemu(dst6 + off), vmul); + HVX_Vector out7 = hvx_vec_mul_f32_f32(hvx_vmemu(dst7 + off), vmul); + + hvx_vec_store_u(dst0 + off, tail * sizeof(float), out0); + hvx_vec_store_u(dst1 + off, tail * sizeof(float), out1); + hvx_vec_store_u(dst2 + off, tail * sizeof(float), out2); + hvx_vec_store_u(dst3 + off, tail * sizeof(float), out3); + hvx_vec_store_u(dst4 + off, tail * sizeof(float), out4); + hvx_vec_store_u(dst5 + off, tail * sizeof(float), out5); + hvx_vec_store_u(dst6 + off, tail * sizeof(float), out6); + hvx_vec_store_u(dst7 + off, tail * sizeof(float), out7); + + acc0 = hvx_vec_add_f32_f32(acc0, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out0, vdot), zero)); + acc1 = hvx_vec_add_f32_f32(acc1, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out1, vdot), zero)); + acc2 = hvx_vec_add_f32_f32(acc2, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out2, vdot), zero)); + acc3 = hvx_vec_add_f32_f32(acc3, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out3, vdot), zero)); + acc4 = hvx_vec_add_f32_f32(acc4, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out4, vdot), zero)); + acc5 = hvx_vec_add_f32_f32(acc5, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out5, vdot), zero)); + acc6 = hvx_vec_add_f32_f32(acc6, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out6, vdot), zero)); + acc7 = hvx_vec_add_f32_f32(acc7, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out7, vdot), zero)); + } + + HVX_Vector_x4 accA = { .v = { acc0, acc1, acc2, acc3 } }; + HVX_Vector_x4 accB = { .v = { acc4, acc5, acc6, acc7 } }; + hvx_vec_store_u(sums + 0, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(accA)); + hvx_vec_store_u(sums + 4, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(accB)); +} + +static inline void gdn_add_scaled_dot8_f32(float * restrict dst0, float * restrict dst1, + float * restrict dst2, float * restrict dst3, float * restrict dst4, + float * restrict dst5, float * restrict dst6, float * restrict dst7, + const float * restrict src, const float * restrict scale, + const float * restrict dot, uint32_t n, float * restrict sums) { + HVX_Vector acc0 = Q6_V_vzero(); + HVX_Vector acc1 = Q6_V_vzero(); + HVX_Vector acc2 = Q6_V_vzero(); + HVX_Vector acc3 = Q6_V_vzero(); + HVX_Vector acc4 = Q6_V_vzero(); + HVX_Vector acc5 = Q6_V_vzero(); + HVX_Vector acc6 = Q6_V_vzero(); + HVX_Vector acc7 = Q6_V_vzero(); + const HVX_Vector scale0 = hvx_vec_splat_f32(scale[0]); + const HVX_Vector scale1 = hvx_vec_splat_f32(scale[1]); + const HVX_Vector scale2 = hvx_vec_splat_f32(scale[2]); + const HVX_Vector scale3 = hvx_vec_splat_f32(scale[3]); + const HVX_Vector scale4 = hvx_vec_splat_f32(scale[4]); + const HVX_Vector scale5 = hvx_vec_splat_f32(scale[5]); + const HVX_Vector scale6 = hvx_vec_splat_f32(scale[6]); + const HVX_Vector scale7 = hvx_vec_splat_f32(scale[7]); + + const uint32_t epv = 128 / sizeof(float); + const uint32_t nvec = n / epv; + const uint32_t tail = n % epv; + for (uint32_t i = 0; i < nvec; ++i) { + HVX_Vector vs = hvx_vmem(src + i * epv); + HVX_Vector vdot = hvx_vmem(dot + i * epv); + + HVX_Vector out0 = hvx_vec_add_f32_f32(hvx_vmemu(dst0 + i * epv), hvx_vec_mul_f32_f32(vs, scale0)); + HVX_Vector out1 = hvx_vec_add_f32_f32(hvx_vmemu(dst1 + i * epv), hvx_vec_mul_f32_f32(vs, scale1)); + HVX_Vector out2 = hvx_vec_add_f32_f32(hvx_vmemu(dst2 + i * epv), hvx_vec_mul_f32_f32(vs, scale2)); + HVX_Vector out3 = hvx_vec_add_f32_f32(hvx_vmemu(dst3 + i * epv), hvx_vec_mul_f32_f32(vs, scale3)); + HVX_Vector out4 = hvx_vec_add_f32_f32(hvx_vmemu(dst4 + i * epv), hvx_vec_mul_f32_f32(vs, scale4)); + HVX_Vector out5 = hvx_vec_add_f32_f32(hvx_vmemu(dst5 + i * epv), hvx_vec_mul_f32_f32(vs, scale5)); + HVX_Vector out6 = hvx_vec_add_f32_f32(hvx_vmemu(dst6 + i * epv), hvx_vec_mul_f32_f32(vs, scale6)); + HVX_Vector out7 = hvx_vec_add_f32_f32(hvx_vmemu(dst7 + i * epv), hvx_vec_mul_f32_f32(vs, scale7)); + + hvx_vmemu(dst0 + i * epv) = out0; + hvx_vmemu(dst1 + i * epv) = out1; + hvx_vmemu(dst2 + i * epv) = out2; + hvx_vmemu(dst3 + i * epv) = out3; + hvx_vmemu(dst4 + i * epv) = out4; + hvx_vmemu(dst5 + i * epv) = out5; + hvx_vmemu(dst6 + i * epv) = out6; + hvx_vmemu(dst7 + i * epv) = out7; + + acc0 = hvx_vec_add_f32_f32(acc0, hvx_vec_mul_f32_f32(out0, vdot)); + acc1 = hvx_vec_add_f32_f32(acc1, hvx_vec_mul_f32_f32(out1, vdot)); + acc2 = hvx_vec_add_f32_f32(acc2, hvx_vec_mul_f32_f32(out2, vdot)); + acc3 = hvx_vec_add_f32_f32(acc3, hvx_vec_mul_f32_f32(out3, vdot)); + acc4 = hvx_vec_add_f32_f32(acc4, hvx_vec_mul_f32_f32(out4, vdot)); + acc5 = hvx_vec_add_f32_f32(acc5, hvx_vec_mul_f32_f32(out5, vdot)); + acc6 = hvx_vec_add_f32_f32(acc6, hvx_vec_mul_f32_f32(out6, vdot)); + acc7 = hvx_vec_add_f32_f32(acc7, hvx_vec_mul_f32_f32(out7, vdot)); + } + + if (tail) { + const uint32_t off = nvec * epv; + HVX_Vector vs = hvx_vmem(src + off); + HVX_Vector vdot = hvx_vmem(dot + off); + HVX_VectorPred mask = Q6_Q_vsetq2_R(tail * sizeof(float)); + HVX_Vector zero = Q6_V_vzero(); + + HVX_Vector out0 = hvx_vec_add_f32_f32(hvx_vmemu(dst0 + off), hvx_vec_mul_f32_f32(vs, scale0)); + HVX_Vector out1 = hvx_vec_add_f32_f32(hvx_vmemu(dst1 + off), hvx_vec_mul_f32_f32(vs, scale1)); + HVX_Vector out2 = hvx_vec_add_f32_f32(hvx_vmemu(dst2 + off), hvx_vec_mul_f32_f32(vs, scale2)); + HVX_Vector out3 = hvx_vec_add_f32_f32(hvx_vmemu(dst3 + off), hvx_vec_mul_f32_f32(vs, scale3)); + HVX_Vector out4 = hvx_vec_add_f32_f32(hvx_vmemu(dst4 + off), hvx_vec_mul_f32_f32(vs, scale4)); + HVX_Vector out5 = hvx_vec_add_f32_f32(hvx_vmemu(dst5 + off), hvx_vec_mul_f32_f32(vs, scale5)); + HVX_Vector out6 = hvx_vec_add_f32_f32(hvx_vmemu(dst6 + off), hvx_vec_mul_f32_f32(vs, scale6)); + HVX_Vector out7 = hvx_vec_add_f32_f32(hvx_vmemu(dst7 + off), hvx_vec_mul_f32_f32(vs, scale7)); + + hvx_vec_store_u(dst0 + off, tail * sizeof(float), out0); + hvx_vec_store_u(dst1 + off, tail * sizeof(float), out1); + hvx_vec_store_u(dst2 + off, tail * sizeof(float), out2); + hvx_vec_store_u(dst3 + off, tail * sizeof(float), out3); + hvx_vec_store_u(dst4 + off, tail * sizeof(float), out4); + hvx_vec_store_u(dst5 + off, tail * sizeof(float), out5); + hvx_vec_store_u(dst6 + off, tail * sizeof(float), out6); + hvx_vec_store_u(dst7 + off, tail * sizeof(float), out7); + + acc0 = hvx_vec_add_f32_f32(acc0, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out0, vdot), zero)); + acc1 = hvx_vec_add_f32_f32(acc1, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out1, vdot), zero)); + acc2 = hvx_vec_add_f32_f32(acc2, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out2, vdot), zero)); + acc3 = hvx_vec_add_f32_f32(acc3, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out3, vdot), zero)); + acc4 = hvx_vec_add_f32_f32(acc4, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out4, vdot), zero)); + acc5 = hvx_vec_add_f32_f32(acc5, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out5, vdot), zero)); + acc6 = hvx_vec_add_f32_f32(acc6, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out6, vdot), zero)); + acc7 = hvx_vec_add_f32_f32(acc7, Q6_V_vmux_QVV(mask, hvx_vec_mul_f32_f32(out7, vdot), zero)); + } + + HVX_Vector_x4 accA = { .v = { acc0, acc1, acc2, acc3 } }; + HVX_Vector_x4 accB = { .v = { acc4, acc5, acc6, acc7 } }; + hvx_vec_store_u(sums + 0, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(accA)); + hvx_vec_store_u(sums + 4, 4 * sizeof(float), hvx_vec_reduce_sum_f32x4(accB)); +} + +static void gated_delta_net_f32_pp_thread(unsigned int nth, unsigned int ith, void * data) { + struct htp_gdn_context * gctx = (struct htp_gdn_context *) data; + struct htp_ops_context * octx = gctx->octx; + + const struct htp_tensor * q = octx->src[0]; + const struct htp_tensor * k = octx->src[1]; + const struct htp_tensor * v = octx->src[2]; + const struct htp_tensor * g = octx->src[3]; + const struct htp_tensor * beta = octx->src[4]; + const struct htp_tensor * state = octx->src[5]; + const struct htp_tensor * dst = octx->dst; + + const uint32_t S_v = v->ne[0]; + const uint32_t H = v->ne[1]; + const uint32_t n_tokens = v->ne[2]; + const uint32_t n_seqs = v->ne[3]; + + const uint32_t total_rows = H * n_seqs; + if (ith >= total_rows) { + return; + } + + const uint32_t rq3 = n_seqs / q->ne[3]; + const uint32_t rk3 = n_seqs / k->ne[3]; + const float scale = 1.0f / sqrtf((float) S_v); + + float * dst_base = (float *) (uintptr_t) dst->data; + float * state_out_base = dst_base + (uint64_t) S_v * H * n_tokens * n_seqs; + const float * state_in_base = (const float *) (uintptr_t) state->data; + + const bool kda = (g->ne[0] == S_v); + float local_gate[HTP_GDN_MAX_SV] __attribute__((aligned(128))); + float local_q[HTP_GDN_MAX_SV] __attribute__((aligned(128))); + float local_k[HTP_GDN_MAX_SV] __attribute__((aligned(128))); + float local_sums[4] __attribute__((aligned(128))); + + for (uint32_t ir = ith; ir < total_rows; ir += nth) { + const uint32_t iv1 = ir % H; + const uint32_t iv3 = ir / H; + + const uint32_t iq1 = iv1 % q->ne[1]; + const uint32_t ik1 = iv1 % k->ne[1]; + const uint32_t iq3 = iv3 / rq3; + const uint32_t ik3 = iv3 / rk3; + + float * s_out = state_out_base + ((uint64_t) iv3 * H + iv1) * S_v * S_v; + const float * s_in = state_in_base + ((uint64_t) iv3 * H + iv1) * S_v * S_v; + + memcpy(s_out, s_in, gctx->state_bytes); + float * s_work = s_out; + + float * attn_data = dst_base + ((uint64_t) iv3 * n_tokens * H + iv1) * S_v; + + for (uint32_t t = 0; t < n_tokens; ++t) { + const float * q_t = (const float *) ((const uint8_t *) (uintptr_t) q->data + + (uint64_t) iq3 * q->nb[3] + (uint64_t) t * q->nb[2] + (uint64_t) iq1 * q->nb[1]); + const float * k_t = (const float *) ((const uint8_t *) (uintptr_t) k->data + + (uint64_t) ik3 * k->nb[3] + (uint64_t) t * k->nb[2] + (uint64_t) ik1 * k->nb[1]); + const float * v_t = (const float *) ((const uint8_t *) (uintptr_t) v->data + + (uint64_t) iv3 * v->nb[3] + (uint64_t) t * v->nb[2] + (uint64_t) iv1 * v->nb[1]); + const float * g_t = (const float *) ((const uint8_t *) (uintptr_t) g->data + + (uint64_t) iv3 * g->nb[3] + (uint64_t) t * g->nb[2] + (uint64_t) iv1 * g->nb[1]); + const float beta_val = *(const float *) ((const uint8_t *) (uintptr_t) beta->data + + (uint64_t) iv3 * beta->nb[3] + (uint64_t) t * beta->nb[2] + (uint64_t) iv1 * beta->nb[1]); + + memcpy(local_q, q_t, (size_t) S_v * sizeof(float)); + memcpy(local_k, k_t, (size_t) S_v * sizeof(float)); + + if (kda) { + hvx_exp_f32((uint8_t *) local_gate, (const uint8_t *) g_t, S_v, false); + + uint32_t j = 0; + for (; j + 4 <= S_v; j += 4) { + float * row0 = s_work + (uint64_t) (j + 0) * S_v; + float * row1 = s_work + (uint64_t) (j + 1) * S_v; + float * row2 = s_work + (uint64_t) (j + 2) * S_v; + float * row3 = s_work + (uint64_t) (j + 3) * S_v; + gdn_mul_dot4_f32(row0, row1, row2, row3, local_gate, local_k, S_v, local_sums); + float local_delta_b[4] __attribute__((aligned(128))); + for (uint32_t r = 0; r < 4; ++r) { + local_delta_b[r] = (v_t[j + r] - local_sums[r]) * beta_val; + } + gdn_add_scaled_dot4_f32(row0, row1, row2, row3, local_k, local_delta_b, local_q, S_v, local_sums); + for (uint32_t r = 0; r < 4; ++r) { + attn_data[j + r] = local_sums[r] * scale; + } + } + for (; j < S_v; ++j) { + float * row = s_work + (uint64_t) j * S_v; + const float sum = gdn_mul_dot_f32(row, local_gate, local_k, S_v); + const float dj = (v_t[j] - sum) * beta_val; + attn_data[j] = gdn_add_scaled_dot_f32(row, local_k, dj, local_q, S_v) * scale; + } + } else { + const float gate = expf(g_t[0]); + uint32_t j = 0; + for (; j + 4 <= S_v; j += 4) { + float * row0 = s_work + (uint64_t) (j + 0) * S_v; + float * row1 = s_work + (uint64_t) (j + 1) * S_v; + float * row2 = s_work + (uint64_t) (j + 2) * S_v; + float * row3 = s_work + (uint64_t) (j + 3) * S_v; + gdn_mul_scalar_dot4_f32(row0, row1, row2, row3, gate, local_k, S_v, local_sums); + float local_delta_b[4] __attribute__((aligned(128))); + for (uint32_t r = 0; r < 4; ++r) { + local_delta_b[r] = (v_t[j + r] - local_sums[r]) * beta_val; + } + gdn_add_scaled_dot4_f32(row0, row1, row2, row3, local_k, local_delta_b, local_q, S_v, local_sums); + for (uint32_t r = 0; r < 4; ++r) { + attn_data[j + r] = local_sums[r] * scale; + } + } + for (; j < S_v; ++j) { + float * row = s_work + (uint64_t) j * S_v; + const float sum = gdn_mul_scalar_dot_f32(row, gate, local_k, S_v); + const float dj = (v_t[j] - sum) * beta_val; + attn_data[j] = gdn_add_scaled_dot_f32(row, local_k, dj, local_q, S_v) * scale; + } + } + + attn_data += (uint64_t) S_v * H; + } + } +} + +static void gated_delta_net_f32_tg_thread(unsigned int nth, unsigned int ith, void * data) { + struct htp_gdn_context * gctx = (struct htp_gdn_context *) data; + struct htp_ops_context * octx = gctx->octx; + + const struct htp_tensor * q = octx->src[0]; + const struct htp_tensor * k = octx->src[1]; + const struct htp_tensor * v = octx->src[2]; + const struct htp_tensor * g = octx->src[3]; + const struct htp_tensor * beta = octx->src[4]; + const struct htp_tensor * state = octx->src[5]; + const struct htp_tensor * dst = octx->dst; + + const uint32_t S_v = v->ne[0]; + const uint32_t H = v->ne[1]; + const uint32_t n_seqs = v->ne[3]; + + const uint32_t total_rows = H * n_seqs; + if (ith >= total_rows) { + return; + } + + const uint32_t rq3 = n_seqs / q->ne[3]; + const uint32_t rk3 = n_seqs / k->ne[3]; + const float scale = 1.0f / sqrtf((float) S_v); + + float * dst_base = (float *) (uintptr_t) dst->data; + float * state_out_base = dst_base + (uint64_t) S_v * H * n_seqs; + const float * state_in_base = (const float *) (uintptr_t) state->data; + + const bool kda = (g->ne[0] == S_v); + float local_gate[HTP_GDN_MAX_SV] __attribute__((aligned(128))); + float local_q[HTP_GDN_MAX_SV] __attribute__((aligned(128))); + float local_k[HTP_GDN_MAX_SV] __attribute__((aligned(128))); + float local_sums[8] __attribute__((aligned(128))); + + dma_queue * dma = octx->ctx->dma[ith]; + + uint8_t * spad = NULL; + if (gctx->use_vtcm) { + spad = gctx->vtcm_state_base + gctx->vtcm_state_per_thread * ith; + } + + for (uint32_t ir = ith; ir < total_rows; ir += nth) { + const uint32_t iv1 = ir % H; + const uint32_t iv3 = ir / H; + + const uint32_t iq1 = iv1 % q->ne[1]; + const uint32_t ik1 = iv1 % k->ne[1]; + const uint32_t iq3 = iv3 / rq3; + const uint32_t ik3 = iv3 / rk3; + + float * s_out = state_out_base + ((uint64_t) iv3 * H + iv1) * S_v * S_v; + const float * s_in = state_in_base + ((uint64_t) iv3 * H + iv1) * S_v * S_v; + float * s_work; + + if (spad) { + dma_queue_push(dma, dma_make_ptr(spad, s_in), + S_v * sizeof(float), S_v * sizeof(float), + S_v * sizeof(float), S_v); + dma_queue_pop(dma); + s_work = (float *) spad; + } else { + s_work = s_out; + memcpy(s_work, s_in, gctx->state_bytes); + } + + float * attn_data = dst_base + ((uint64_t) iv3 * H + iv1) * S_v; + + const float * q_t = (const float *) ((const uint8_t *) (uintptr_t) q->data + + (uint64_t) iq3 * q->nb[3] + (uint64_t) iq1 * q->nb[1]); + const float * k_t = (const float *) ((const uint8_t *) (uintptr_t) k->data + + (uint64_t) ik3 * k->nb[3] + (uint64_t) ik1 * k->nb[1]); + const float * v_t = (const float *) ((const uint8_t *) (uintptr_t) v->data + + (uint64_t) iv3 * v->nb[3] + (uint64_t) iv1 * v->nb[1]); + const float * g_t = (const float *) ((const uint8_t *) (uintptr_t) g->data + + (uint64_t) iv3 * g->nb[3] + (uint64_t) iv1 * g->nb[1]); + const float beta_val = *(const float *) ((const uint8_t *) (uintptr_t) beta->data + + (uint64_t) iv3 * beta->nb[3] + (uint64_t) iv1 * beta->nb[1]); + + memcpy(local_q, q_t, (size_t) S_v * sizeof(float)); + memcpy(local_k, k_t, (size_t) S_v * sizeof(float)); + + if (kda) { + hvx_exp_f32((uint8_t *) local_gate, (const uint8_t *) g_t, S_v, false); + + uint32_t j = 0; + for (; j + 8 <= S_v; j += 8) { + float * row0 = s_work + (uint64_t) (j + 0) * S_v; + float * row1 = s_work + (uint64_t) (j + 1) * S_v; + float * row2 = s_work + (uint64_t) (j + 2) * S_v; + float * row3 = s_work + (uint64_t) (j + 3) * S_v; + float * row4 = s_work + (uint64_t) (j + 4) * S_v; + float * row5 = s_work + (uint64_t) (j + 5) * S_v; + float * row6 = s_work + (uint64_t) (j + 6) * S_v; + float * row7 = s_work + (uint64_t) (j + 7) * S_v; + gdn_mul_dot8_f32(row0, row1, row2, row3, row4, row5, row6, row7, + local_gate, local_k, S_v, local_sums); + float local_delta_b[8] __attribute__((aligned(128))); + for (uint32_t r = 0; r < 8; ++r) { + local_delta_b[r] = (v_t[j + r] - local_sums[r]) * beta_val; + } + gdn_add_scaled_dot8_f32(row0, row1, row2, row3, row4, row5, row6, row7, + local_k, local_delta_b, local_q, S_v, local_sums); + for (uint32_t r = 0; r < 8; ++r) { + attn_data[j + r] = local_sums[r] * scale; + } + } + for (; j + 4 <= S_v; j += 4) { + float * row0 = s_work + (uint64_t) (j + 0) * S_v; + float * row1 = s_work + (uint64_t) (j + 1) * S_v; + float * row2 = s_work + (uint64_t) (j + 2) * S_v; + float * row3 = s_work + (uint64_t) (j + 3) * S_v; + gdn_mul_dot4_f32(row0, row1, row2, row3, local_gate, local_k, S_v, local_sums); + float local_delta_b[4] __attribute__((aligned(128))); + for (uint32_t r = 0; r < 4; ++r) { + local_delta_b[r] = (v_t[j + r] - local_sums[r]) * beta_val; + } + gdn_add_scaled_dot4_f32(row0, row1, row2, row3, local_k, local_delta_b, local_q, S_v, local_sums); + for (uint32_t r = 0; r < 4; ++r) { + attn_data[j + r] = local_sums[r] * scale; + } + } + for (; j < S_v; ++j) { + float * row = s_work + (uint64_t) j * S_v; + const float sum = gdn_mul_dot_f32(row, local_gate, local_k, S_v); + const float dj = (v_t[j] - sum) * beta_val; + attn_data[j] = gdn_add_scaled_dot_f32(row, local_k, dj, local_q, S_v) * scale; + } + } else { + const float gate = expf(g_t[0]); + uint32_t j = 0; + for (; j + 8 <= S_v; j += 8) { + float * row0 = s_work + (uint64_t) (j + 0) * S_v; + float * row1 = s_work + (uint64_t) (j + 1) * S_v; + float * row2 = s_work + (uint64_t) (j + 2) * S_v; + float * row3 = s_work + (uint64_t) (j + 3) * S_v; + float * row4 = s_work + (uint64_t) (j + 4) * S_v; + float * row5 = s_work + (uint64_t) (j + 5) * S_v; + float * row6 = s_work + (uint64_t) (j + 6) * S_v; + float * row7 = s_work + (uint64_t) (j + 7) * S_v; + gdn_mul_scalar_dot8_f32(row0, row1, row2, row3, row4, row5, row6, row7, + gate, local_k, S_v, local_sums); + float local_delta_b[8] __attribute__((aligned(128))); + for (uint32_t r = 0; r < 8; ++r) { + local_delta_b[r] = (v_t[j + r] - local_sums[r]) * beta_val; + } + gdn_add_scaled_dot8_f32(row0, row1, row2, row3, row4, row5, row6, row7, + local_k, local_delta_b, local_q, S_v, local_sums); + for (uint32_t r = 0; r < 8; ++r) { + attn_data[j + r] = local_sums[r] * scale; + } + } + for (; j + 4 <= S_v; j += 4) { + float * row0 = s_work + (uint64_t) (j + 0) * S_v; + float * row1 = s_work + (uint64_t) (j + 1) * S_v; + float * row2 = s_work + (uint64_t) (j + 2) * S_v; + float * row3 = s_work + (uint64_t) (j + 3) * S_v; + gdn_mul_scalar_dot4_f32(row0, row1, row2, row3, gate, local_k, S_v, local_sums); + float local_delta_b[4] __attribute__((aligned(128))); + for (uint32_t r = 0; r < 4; ++r) { + local_delta_b[r] = (v_t[j + r] - local_sums[r]) * beta_val; + } + gdn_add_scaled_dot4_f32(row0, row1, row2, row3, local_k, local_delta_b, local_q, S_v, local_sums); + for (uint32_t r = 0; r < 4; ++r) { + attn_data[j + r] = local_sums[r] * scale; + } + } + for (; j < S_v; ++j) { + float * row = s_work + (uint64_t) j * S_v; + const float sum = gdn_mul_scalar_dot_f32(row, gate, local_k, S_v); + const float dj = (v_t[j] - sum) * beta_val; + attn_data[j] = gdn_add_scaled_dot_f32(row, local_k, dj, local_q, S_v) * scale; + } + } + + if (spad) { + dma_queue_push(dma, dma_make_ptr(s_out, spad), + S_v * sizeof(float), S_v * sizeof(float), + S_v * sizeof(float), S_v); + dma_queue_pop(dma); + } + } +} + +int op_gated_delta_net(struct htp_ops_context * octx) { + const struct htp_tensor * q = octx->src[0]; + const struct htp_tensor * k = octx->src[1]; + const struct htp_tensor * v = octx->src[2]; + const struct htp_tensor * g = octx->src[3]; + const struct htp_tensor * beta = octx->src[4]; + const struct htp_tensor * state = octx->src[5]; + const struct htp_tensor * dst = octx->dst; + + if (!q || !k || !v || !g || !beta || !state || !dst) { + return HTP_STATUS_INVAL_PARAMS; + } + + if (q->type != HTP_TYPE_F32 || k->type != HTP_TYPE_F32 || v->type != HTP_TYPE_F32 || + g->type != HTP_TYPE_F32 || beta->type != HTP_TYPE_F32 || state->type != HTP_TYPE_F32 || + dst->type != HTP_TYPE_F32) { + return HTP_STATUS_NO_SUPPORT; + } + + const uint32_t S_v = v->ne[0]; + const uint32_t H = v->ne[1]; + const uint32_t n_tokens = v->ne[2]; + const uint32_t n_seqs = v->ne[3]; + + if (S_v == 0 || S_v > HTP_GDN_MAX_SV || H == 0 || n_tokens == 0 || n_seqs == 0) { + return HTP_STATUS_NO_SUPPORT; + } + if ((g->ne[0] != 1 && g->ne[0] != S_v) || beta->ne[0] != 1) { + return HTP_STATUS_NO_SUPPORT; + } + if (q->ne[0] != S_v || k->ne[0] != S_v || q->ne[1] == 0 || k->ne[1] == 0 || + q->ne[2] != n_tokens || k->ne[2] != n_tokens || q->ne[3] == 0 || k->ne[3] == 0 || + (n_seqs % q->ne[3]) != 0 || (n_seqs % k->ne[3]) != 0) { + return HTP_STATUS_NO_SUPPORT; + } + if (state->ne[0] * state->ne[1] * state->ne[2] * state->ne[3] != S_v * S_v * H * n_seqs) { + return HTP_STATUS_NO_SUPPORT; + } + if (dst->ne[0] != S_v * H || dst->ne[1] != n_tokens * n_seqs + S_v * n_seqs) { + return HTP_STATUS_NO_SUPPORT; + } + + if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) { + return HTP_STATUS_OK; + } + + struct htp_gdn_context gctx; + gctx.octx = octx; + gctx.rows_per_thread = (H * n_seqs + octx->n_threads - 1) / octx->n_threads; + gctx.state_bytes = (size_t) S_v * S_v * sizeof(float); + + size_t state_aligned = (size_t) S_v * S_v * sizeof(float); + state_aligned = (state_aligned + 127) & ~(size_t)127; + + gctx.use_vtcm = false; + gctx.vtcm_state_base = NULL; + gctx.vtcm_state_per_thread = 0; + + if (n_tokens == 1 && octx->ctx->vtcm_base) { + size_t vtcm_total = state_aligned * octx->n_threads; + if (octx->ctx->vtcm_size >= vtcm_total) { + gctx.use_vtcm = true; + gctx.vtcm_state_base = octx->ctx->vtcm_base; + gctx.vtcm_state_per_thread = state_aligned; + } + } + + if (n_tokens == 1) { + worker_pool_run_func(octx->ctx->worker_pool, gated_delta_net_f32_tg_thread, &gctx, octx->n_threads); + } else { + worker_pool_run_func(octx->ctx->worker_pool, gated_delta_net_f32_pp_thread, &gctx, octx->n_threads); + } + + return HTP_STATUS_OK; +} diff --git a/ggml/src/ggml-hexagon/htp/hex-utils.h b/ggml/src/ggml-hexagon/htp/hex-utils.h index 329249e11d..6239ceff4b 100644 --- a/ggml/src/ggml-hexagon/htp/hex-utils.h +++ b/ggml/src/ggml-hexagon/htp/hex-utils.h @@ -74,6 +74,12 @@ static inline size_t hex_smax(size_t a, size_t b) { return a > b ? a : b; } +static inline void hex_swap_ptr(void ** p1, void ** p2) { + void * t = *p1; + *p1 = *p2; + *p2 = t; +} + static inline void hex_l2fetch(const void * p, uint32_t width, uint32_t stride, uint32_t height) { const uint64_t control = Q6_P_combine_RR(stride, Q6_R_combine_RlRl(width, height)); Q6_l2fetch_AP((void *) p, control); diff --git a/ggml/src/ggml-hexagon/htp/hmx-flash-attn-ops.c b/ggml/src/ggml-hexagon/htp/hmx-flash-attn-ops.c new file mode 100644 index 0000000000..4a4ff0b331 --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/hmx-flash-attn-ops.c @@ -0,0 +1,1841 @@ +// HMX-accelerated Flash Attention for prefill (neq1 >= 32). +// Ported from htp-ops-lib/src/dsp/ops/flash_attn.c, adapted to the htp/ codebase. + +#pragma clang diagnostic ignored "-Wunused-variable" +#pragma clang diagnostic ignored "-Wunused-function" +#pragma clang diagnostic ignored "-Wunused-but-set-variable" + +#include +#include +#include +#include +#include +#include +#include +#include + +#define GGML_COMMON_DECL_C +#include "ggml-common.h" +#include "hex-dma.h" +#include "hmx-profile.h" +#include "hmx-queue.h" +#include "hmx-utils.h" +#include "htp-ctx.h" +#include "htp-ops.h" +#include "hvx-dump.h" +#include "hvx-reduce.h" +#include "hvx-utils.h" +#include "vtcm-utils.h" +#include "worker-pool.h" + +// ============================================================================ +// Constants +// ============================================================================ + +// Tile constants from hmx-utils.h +// HMX_FP16_TILE_N_ROWS = 32 +// HMX_FP16_TILE_N_COLS = 32 +// HMX_FP16_TILE_N_ELMS = 1024 +// HMX_FP16_TILE_SIZE = 2048 + +// ============================================================================ +// Dynamic block size computation (GQA-aware) +// ============================================================================ + +// Exact VTCM usage for a given (gqa_factor, DK, DV, Br, Bc) configuration. +// g_br = hex_align_up(gqa_factor * Br, 32) replaces Br for all Q/O/S/P/D dimensions. +// Layout: Q + O_ping + O_pong + K_dma*2 + V_dma*2 + K_tile + V_tile + S + P + D + vectors + scales +// Mask is DMA'd into a VTCM buffer (Br rows per KV block) to avoid DDR reads in softmax. +static size_t hmx_fa_compute_vtcm_usage(size_t gqa_factor, size_t DK, size_t DV, size_t Br, size_t Bc, size_t n_threads) { + const size_t g_br = hex_align_up(gqa_factor * Br, HMX_FP16_TILE_N_ROWS); + const size_t q_tile_size = hex_align_up(g_br * DK * sizeof(__fp16), 4096); // Q: [g_br, DK] + const size_t o_tile_size = hex_align_up(g_br * DV * sizeof(__fp16), 4096); // O: [g_br, DV] x2 ping-pong + const size_t k_dma_size = hex_align_up(Bc * DK * sizeof(__fp16), 4096); // K DMA: [Bc, DK] x2 double-buf + const size_t v_dma_size = hex_align_up(Bc * DV * sizeof(__fp16), 4096); // V DMA: [Bc, DV] x2 double-buf + const size_t k_tile_size = hex_align_up(Bc * DK * sizeof(__fp16), 4096); // K tiles: [Bc, DK] interleaved + const size_t v_tile_size = hex_align_up(Bc * DV * sizeof(__fp16), 4096); // V tiles: [Bc, DV] interleaved + const size_t s_tile_size = hex_align_up(g_br * Bc * sizeof(__fp16), 4096); // S/P:[g_br, Bc] + const size_t d_tile_size = hex_align_up(g_br * g_br * sizeof(__fp16), 4096); // D: [g_br, g_br] + const size_t col_vec_size = hex_align_up(g_br * sizeof(__fp16), 256); // m, l, etc. + const size_t row_vec_size = hex_align_up(Bc * sizeof(__fp16), 256); + const size_t m_line_size = hex_align_up(Bc * sizeof(__fp16), 128); + const size_t m_buf_size = hex_align_up(Br * m_line_size, 4096); + const size_t slopes_size = hex_align_up(g_br * sizeof(__fp16), 128); + + return q_tile_size * 1 // Q tiles + + o_tile_size * 2 // O ping-pong + + k_dma_size * 2 // K DMA x2 + + v_dma_size * 2 // V DMA x2 + + k_tile_size * 1 // K tiles + + v_tile_size * 1 // V tiles + + s_tile_size * 2 // S + P + + d_tile_size * 1 // D (diagonal matrix) + + col_vec_size * 4 // m_vec, l_vec, s_rowmax, p_rowsum + + row_vec_size * 2 * n_threads // per-thread softmax row scratch + + m_buf_size * 1 // mask VTCM buffer [Br rows] + + slopes_size // Slopes + + 256 * 2; // HMX scales (id + qk) +} + +// ============================================================================ +// FP16 exp2 polynomial (ported from htp-ops-lib/include/dsp/hvx_math.h) +// ============================================================================ +// 5th-order Horner polynomial for exp2(x) in qf16/hf16 domain. Input must be +// ≤ 0 (safe softmax invariant — overflow handling omitted). ~18 ALU ops per +// 64 fp16 lanes, fully parallel across HVX threads (no scatter/gather engine). +// Replaces the F32 round-trip (qf16→f32→exp→f32→f16, ~44 ops for 2×32 lanes). +static inline HVX_Vector hvx_exp2_hf(HVX_Vector x_v) { + const HVX_Vector zero_v = Q6_V_vzero(); + const HVX_Vector half_hf_v = Q6_Vh_vsplat_R(0x3800); // fp16 0.5 + + // k = round_toward_neg_inf(x); f = (float)k; frac = x - f + HVX_Vector x_minus_half = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vsub_VhfVhf(x_v, half_hf_v)); + HVX_Vector k_v = Q6_Vh_equals_Vhf(x_minus_half); // truncate to int16 + HVX_Vector f_v = Q6_Vhf_equals_Vh(k_v); // back to fp16 + + HVX_Vector x_qf16 = Q6_Vqf16_vsub_VhfVhf(x_v, f_v); // fractional part in qf16 + + // Horner: y = ((((E5*x + E4)*x + E3)*x + E2)*x + E1)*x + E0 + HVX_Vector y = Q6_Vqf16_vmpy_Vqf16Vqf16(Q6_Vh_vsplat_R(0x5082), x_qf16); // E5*x + y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x157d)); // + E4 + y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16); + y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x20ed)); // + E3 + y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16); + y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x2b1b)); // + E2 + y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16); + y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x33b0)); // + E1 + y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16); + y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x398c)); // + E0 + y = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16); // y = y * x + y = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x3c00)); // + 1.0 + + // Combine polynomial (mantissa) with integer part (exponent): result = y * 2^k + y = Q6_Vhf_equals_Vqf16(y); + HVX_Vector y_exp = Q6_Vuh_vlsr_VuhR(Q6_Vh_vasl_VhR(y, 1), 11); + y_exp = Q6_Vh_vadd_VhVh(k_v, y_exp); + HVX_VectorPred q_underflow = Q6_Q_vcmp_gt_VhVh(zero_v, y_exp); + y = Q6_Vh_vaslacc_VhVhR(y, k_v, 10); + return Q6_V_vmux_QVV(q_underflow, zero_v, y); +} + +#define FA_MIN_KV_BLOCKS 3 + +// Cost-based (Br, Bc) search for flash attention with pipeline constraint. +// +// VTCM model (same as before): +// overhead + g_br * per_gbr + g_br² * per_gbr2 + Bc * per_bc + g_br * Bc * per_gbr_bc +// +// Cost model (minimization objective): +// Q * (c_q_fixed + K * c_iter_fixed), where Q = ceil(qo/Br), K = ceil(kv/Bc) +static int hmx_fa_find_chunk_size(size_t * Br_out, + size_t * Bc_out, + size_t gqa_factor, + size_t DK, + size_t DV, + size_t qo_len, + size_t kv_len, + size_t vtcm_budget, + size_t n_threads) { + const size_t T = HMX_FP16_TILE_N_ROWS; // 32 + const size_t br_unit = hmx_ceil_div(T, gqa_factor); + // Bc must be a multiple of 64 so that n_tiles_per_bc is even. The softmax + // P-tile write uses a dual-tile pattern (vshuff + two stores 16 slots apart) + // that would race across r0 blocks if the last dual-tile is half-occupied. + // See .cursor/todos/hmx-flash-attn-bc-search-space.md for the perf trade-off. + const size_t bc_unit = HMX_FP16_TILE_N_COLS * 2; // 64 + const size_t fp16 = sizeof(__fp16); + + // Approximate per-unit VTCM costs (without per-buffer alignment padding). + const size_t per_gbr = (DK + 2 * DV) * fp16 + 4 * fp16; // Q + O×2 + 4 col vectors + const size_t per_gbr2 = fp16; // D diagonal matrix + const size_t per_bc = + 3 * (DK + DV) * fp16 + 2 * n_threads * fp16; // K_dma×2 + V_dma×2 + K_tile + V_tile + row bufs + const size_t per_gbr_bc = 2 * fp16; // S + P + + const size_t overhead = 256 * 2 + 13 * 4096; + + if (vtcm_budget <= overhead) { + return -1; + } + const size_t usable = vtcm_budget - overhead; + + // Br_max: largest Br aligned to br_unit that does not exceed qo_len. + const size_t Br_max = qo_len >= br_unit ? hex_align_down(qo_len, br_unit) : br_unit; + + // Pipeline constraint: cap Bc so n_kv_blocks >= FA_MIN_KV_BLOCKS. + // Only relax when kv_len is too short to form enough blocks. + const bool can_pipeline = (kv_len >= FA_MIN_KV_BLOCKS * bc_unit && n_threads >= 2); + const size_t Bc_limit = can_pipeline ? hex_align_down(kv_len / FA_MIN_KV_BLOCKS, bc_unit) : + (kv_len >= bc_unit ? hex_align_down(kv_len, bc_unit) : bc_unit); + // Cost coefficients calibrated from profiling + const size_t c_q_fixed = 1400; // per-Q-block: q_load + epilogue o_update + o_norm + o_store + const size_t c_iter_fixed = 200; // per-KV-iter: HMX queue push/pop + DMA pop + barriers + + size_t best_cost = SIZE_MAX, best_mn = 0; + size_t best_Br = 0, best_Bc = 0; + + for (size_t Br = Br_max; Br >= br_unit; Br -= br_unit) { + const size_t g_br = hex_align_up(gqa_factor * Br, T); + + // g_br-dependent VTCM cost: g_br * per_gbr + g_br² * per_gbr2 + const size_t gbr_cost = g_br * per_gbr + g_br * g_br * per_gbr2; + if (gbr_cost >= usable) { + if (Br == br_unit) { + break; + } + continue; + } + + // Analytically solve for max Bc: + // remain >= Bc * (per_bc + g_br * per_gbr_bc + Br * fp16_mask) + // The Br * fp16 term accounts for the VTCM mask buffer [Br × Bc]. + const size_t remain = usable - gbr_cost; + const size_t bc_denom = per_bc + g_br * per_gbr_bc + Br * fp16; + size_t Bc = hex_smin(hex_align_down(remain / bc_denom, bc_unit), Bc_limit); + if (Bc < bc_unit) { + if (Br == br_unit) { + break; + } + continue; + } + + // Exact VTCM verification (alignment padding may push over budget) + while (Bc >= bc_unit && hmx_fa_compute_vtcm_usage(gqa_factor, DK, DV, Br, Bc, n_threads) > vtcm_budget) { + Bc -= bc_unit; + } + if (Bc < bc_unit) { + if (Br == br_unit) { + break; + } + continue; + } + + const size_t q_blocks = (qo_len + Br - 1) / Br; + const size_t kv_blocks = (kv_len + Bc - 1) / Bc; + const size_t cost = q_blocks * (c_q_fixed + kv_blocks * c_iter_fixed); + const size_t mn = Br * Bc; + + if (cost < best_cost || (cost == best_cost && mn > best_mn)) { + best_cost = cost; + best_mn = mn; + best_Br = Br; + best_Bc = Bc; + } + + if (Br == br_unit) { + break; + } + } + + if (best_Br == 0) { + return -1; + } + + *Br_out = best_Br; + *Bc_out = best_Bc; + return 0; +} + +// ============================================================================ +// Tile interleave / extract helpers +// ============================================================================ + +// transpose scatter offsets moved to hmx-utils.h as hmx_transpose_scatter_offsets + +// Scatter offsets for diagonal tile: entry[2i] = i*136, entry[2i+1] = i*136+6 +// 136 = 4 * 32 + 8 = byte offset to diagonal in a 32x32 fp16 interleaved tile +static const int16_t d_tile_scatter_offsets[64] __attribute__((aligned(128))) = { + 0 * 136, 0 * 136 + 6, + 1 * 136, 1 * 136 + 6, + 2 * 136, 2 * 136 + 6, + 3 * 136, 3 * 136 + 6, + 4 * 136, 4 * 136 + 6, + 5 * 136, 5 * 136 + 6, + 6 * 136, 6 * 136 + 6, + 7 * 136, 7 * 136 + 6, + 8 * 136, 8 * 136 + 6, + 9 * 136, 9 * 136 + 6, + 10 * 136, 10 * 136 + 6, + 11 * 136, 11 * 136 + 6, + 12 * 136, 12 * 136 + 6, + 13 * 136, 13 * 136 + 6, + 14 * 136, 14 * 136 + 6, + 15 * 136, 15 * 136 + 6, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, + 0, 0, +}; + +// hmx_interleave_rows_to_tiles and hmx_interleave_cols_to_tiles are in hmx-utils.h + +// ============================================================================ +// HMX Flash Attention context (GQA-merged) +// ============================================================================ + +struct hmx_fa_context { + const struct htp_ops_context * octx; + bool use_pipeline; // true when n_kv_blocks >= FA_MIN_KV_BLOCKS && n_threads >= 2 + uint32_t n_threads; + + // Op parameters + float scale; + float max_bias; + float logit_softcap; + uint32_t n_head_log2; + float m0, m1; + + // Dimensions + uint32_t DK, DV; + uint32_t n_kv; // kv_len + uint32_t n_kv_heads; // number of KV heads + uint32_t n_heads; // number of Q heads + uint32_t G; // GQA factor = n_heads / n_kv_heads + uint32_t n_kv_blocks; + uint32_t neq1; // Q token count + + // Types + bool is_q_fp32; + bool is_dst_fp32; + + // Dynamic block sizes + uint32_t Br; // Q tokens per block (before GQA expansion) + uint32_t Bc; + uint32_t g_br; // hex_align_up(G * Br, 32) - actual tile row dim + + // VTCM buffers (allocated by vtcm_seq_alloc) + __fp16 * vtcm_q_tiles; // Q tile format [g_br, D] + __fp16 * vtcm_o_tiles[2]; // O ping-pong [g_br, D] + __fp16 * vtcm_k_fp16[2]; // K DMA double-buffer [Bc, D] + __fp16 * vtcm_v_fp16[2]; // V DMA double-buffer [Bc, D] + __fp16 * vtcm_k_tiles; // K tiles (transposed) + __fp16 * vtcm_v_tiles; // V tiles (column-major) + __fp16 * vtcm_s_tiles; // S = QK^T [g_br, Bc] + __fp16 * vtcm_p_tiles; // P = softmax(S) [g_br, Bc] + __fp16 * vtcm_d_tiles; // Diagonal rescale [g_br, g_br] + HVX_Vector * vtcm_m_vec; // Row max [g_br] + HVX_Vector * vtcm_l_vec; // Row sum [g_br] + HVX_Vector * vtcm_s_rowmax; // Softmax intermediate [g_br] + HVX_Vector * vtcm_p_rowsum; // Softmax intermediate [g_br] + HVX_Vector * vtcm_row_bufs; // Per-thread softmax row scratch [n_threads][2][Bc/64] + uint8_t * vtcm_hmx_scales_id; // HMX output scales (identity) + uint8_t * vtcm_hmx_scales_qk; // HMX output scales (qk_scale) + __fp16 * vtcm_mask_buf; // VTCM mask buffer [Br × m_line], DMA'd per KV block + __fp16 * vtcm_slopes; // ALiBi slopes [g_br] + size_t row_buf_stride; // HVX vectors per row buffer (Bc/64) + size_t mask_buf_row_stride; // elements (__fp16) per row in mask buffer + bool mask_broadcast; // true when mask->ne[2] == 1 (head-independent, single 2D DMA) +}; + +// ============================================================================ +// Multi-thread K interleave phase +// ============================================================================ + +typedef struct { + struct hmx_fa_context * factx; + int kv_rows; + size_t src_stride; + size_t buf_idx; +} fa_k_int_args_t; + +static void fa_k_interleave_thread(unsigned int n, unsigned int i, void * data) { + fa_k_int_args_t * args = (fa_k_int_args_t *) data; + struct hmx_fa_context * factx = args->factx; + + const int total_rows = args->kv_rows; + const int rows_per_t = hex_align_up(hmx_ceil_div(total_rows, n), 2); // ensure even (row pairs) + const int start = i * rows_per_t; + const int end = hex_smin(start + rows_per_t, total_rows); + + if (start >= total_rows) { + return; + } + + hmx_interleave_rows_to_tiles(factx->vtcm_k_tiles, factx->vtcm_k_fp16[args->buf_idx], total_rows, (int) factx->DK, + (int) args->src_stride, start, end); +} + +static void fa_phase_k_interleave(struct hmx_fa_context * factx, int kv_rows, size_t src_stride, size_t buf_idx) { + worker_pool_context_t wp = factx->octx->ctx->worker_pool; + fa_k_int_args_t args = { factx, kv_rows, src_stride, buf_idx }; + if (factx->n_threads > 1 && kv_rows >= (int) (factx->n_threads * 2)) { + worker_pool_run_func(wp, fa_k_interleave_thread, &args, factx->n_threads); + } else { + fa_k_interleave_thread(1, 0, &args); + } +} + +// ============================================================================ +// Multi-thread V interleave phase +// ============================================================================ + +typedef struct { + struct hmx_fa_context * factx; + int kv_rows; + size_t src_stride; + size_t buf_idx; + size_t n_col_tiles; +} fa_v_int_args_t; + +static void fa_v_interleave_thread(unsigned int n, unsigned int i, void * data) { + fa_v_int_args_t * args = (fa_v_int_args_t *) data; + struct hmx_fa_context * factx = args->factx; + + const int total_rows = args->kv_rows; + const int rows_per_t = hex_align_up(hmx_ceil_div(total_rows, n), 2); + const int start = i * rows_per_t; + const int end = hex_smin(start + rows_per_t, total_rows); + + if (start >= total_rows) { + return; + } + + hmx_interleave_cols_to_tiles(factx->vtcm_v_tiles, factx->vtcm_v_fp16[args->buf_idx], total_rows, (int) factx->DV, + (int) args->src_stride, (int) args->n_col_tiles, start, end); +} + +static void fa_phase_v_interleave(struct hmx_fa_context * factx, + int kv_rows, + size_t src_stride, + size_t buf_idx, + size_t n_col_tiles) { + worker_pool_context_t wp = factx->octx->ctx->worker_pool; + fa_v_int_args_t args = { factx, kv_rows, src_stride, buf_idx, n_col_tiles }; + if (factx->n_threads > 1 && kv_rows >= (int) (factx->n_threads * 2)) { + worker_pool_run_func(wp, fa_v_interleave_thread, &args, factx->n_threads); + } else { + fa_v_interleave_thread(1, 0, &args); + } +} + +// ============================================================================ +// Multi-thread Q load phase: read Q[G × neq1, DK] from DDR, convert F32→F16 +// (or deal F16 pairs), and write interleaved into vtcm_q_tiles. +// Each thread owns a disjoint range of row pairs; writes target distinct tile +// slots (r0 selects tile row, r1 selects intra-tile slot), so there is no +// write conflict. Padding fill (when n_rows_g < g_br) is done single-threaded +// by the caller before dispatching. +// ============================================================================ + +typedef struct { + struct hmx_fa_context * factx; + const struct htp_tensor * q; + uint32_t q_start; + uint32_t kv_head; + uint32_t ib3; + size_t n_rows_g; +} fa_q_load_args_t; + +static void fa_q_load_thread(unsigned int n, unsigned int i, void * data) { + fa_q_load_args_t * args = (fa_q_load_args_t *) data; + struct hmx_fa_context * factx = args->factx; + + const size_t n_rows_g = args->n_rows_g; + const size_t G = factx->G; + const size_t DK = factx->DK; + + // Partition row pairs across threads. Keep each thread's start even so r/r+1 + // are always in the same thread's range. + const size_t rows_per_t = hex_align_up(hmx_ceil_div(n_rows_g, n), 2); + const size_t start = (size_t) i * rows_per_t; + const size_t end = hex_smin(start + rows_per_t, n_rows_g); + + if (start >= n_rows_g) { + return; + } + + const struct htp_tensor * q = args->q; + const uint32_t q_start = args->q_start; + const uint32_t kv_head = args->kv_head; + const uint32_t ib3 = args->ib3; + + for (size_t r = start; r < end; r += 2) { + const bool next_row_valid = (r + 1) < n_rows_g; + + const size_t q_idx0 = (r + 0) / G; + const size_t h_idx0 = (r + 0) % G; + const size_t q_idx1 = (r + 1) / G; + const size_t h_idx1 = (r + 1) % G; + + const uint8_t * q_ptr0 = (const uint8_t *) q->data + (q_start + q_idx0) * q->nb[1] + + (kv_head * G + h_idx0) * q->nb[2] + ib3 * q->nb[3]; + const uint8_t * q_ptr1 = next_row_valid ? ((const uint8_t *) q->data + (q_start + q_idx1) * q->nb[1] + + (kv_head * G + h_idx1) * q->nb[2] + ib3 * q->nb[3]) : + NULL; + + size_t r0 = r / HMX_FP16_TILE_N_ROWS; + size_t r1 = r % HMX_FP16_TILE_N_ROWS; + __fp16 * out_base = factx->vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK; + + if (factx->is_q_fp32) { + const HVX_Vector * pv_in0 = (const HVX_Vector *) q_ptr0; + const HVX_Vector * pv_in1 = q_ptr1 ? (const HVX_Vector *) q_ptr1 : NULL; + + for (uint32_t d = 0; d < DK / 32; ++d) { + HVX_Vector v0 = pv_in0[d]; + HVX_Vector v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero(); + HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1); + + HVX_Vector * out_tile = (HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS); + out_tile[r1 / 2] = v_hf; + } + } else { + const HVX_Vector * pv_in0 = (const HVX_Vector *) q_ptr0; + const HVX_Vector * pv_in1 = q_ptr1 ? (const HVX_Vector *) q_ptr1 : NULL; + + for (uint32_t d = 0; d < DK / 64; ++d) { + HVX_Vector v0 = pv_in0[d]; + HVX_Vector v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero(); + HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2); + + __fp16 * out_dual_tile = out_base + d * HMX_FP16_TILE_N_ELMS * 2; + HVX_Vector * pv_out0 = ((HVX_Vector *) out_dual_tile) + r1 / 2; + HVX_Vector * pv_out1 = pv_out0 + 16; + + *pv_out0 = Q6_V_lo_W(vp); + *pv_out1 = Q6_V_hi_W(vp); + } + } + } +} + +static void fa_phase_q_load(struct hmx_fa_context * factx, + const struct htp_tensor * q, + uint32_t q_start, + uint32_t kv_head, + uint32_t ib3, + size_t n_rows_g) { + worker_pool_context_t wp = factx->octx->ctx->worker_pool; + fa_q_load_args_t args = { factx, q, q_start, kv_head, ib3, n_rows_g }; + // Require >= 2 row pairs per thread so partitioning is worthwhile. + if (factx->n_threads > 1 && n_rows_g >= (size_t) (factx->n_threads * 2)) { + worker_pool_run_func(wp, fa_q_load_thread, &args, factx->n_threads); + } else { + fa_q_load_thread(1, 0, &args); + } +} + +// ============================================================================ +// Multi-thread O store phase: read O tiles from VTCM, convert F16->F32 (or +// deal F16 pairs), and write to strided DDR dst tensor. Each thread owns a +// disjoint row range; writes target distinct dst rows (different q_idx/h_idx +// pairs produced by r/G and r%G), so there is no write conflict. +// ============================================================================ + +typedef struct { + struct hmx_fa_context * factx; + const struct htp_tensor * dst; + const __fp16 * o_tile_src; + uint32_t q_start; + uint32_t kv_head; + uint32_t ib3; + size_t n_rows_g; +} fa_o_store_args_t; + +static void fa_o_store_thread(unsigned int n, unsigned int i, void * data) { + fa_o_store_args_t * args = (fa_o_store_args_t *) data; + struct hmx_fa_context * factx = args->factx; + + const size_t n_rows_g = args->n_rows_g; + const size_t G = factx->G; + const size_t DV = factx->DV; + + const size_t rows_per_t = hmx_ceil_div(n_rows_g, n); + const size_t start = (size_t) i * rows_per_t; + const size_t end = hex_smin(start + rows_per_t, n_rows_g); + + if (start >= n_rows_g) { + return; + } + + const struct htp_tensor * dst = args->dst; + const __fp16 * o_tile_src = args->o_tile_src; + const uint32_t q_start = args->q_start; + const uint32_t kv_head = args->kv_head; + const uint32_t ib3 = args->ib3; + + for (size_t r = start; r < end; ++r) { + const size_t q_idx = r / G; + const size_t h_idx = r % G; + + // FIX(dst-indexing): ggml_flash_attn_ext() creates dst as permute(0,2,1,3) -> + // [DV, n_heads, n_tokens, n_seq], so head stride is nb[1] and token stride is nb[2]. + uint8_t * dst_row = (uint8_t *) dst->data + (kv_head * G + h_idx) * dst->nb[1] + + (q_start + q_idx) * dst->nb[2] + ib3 * dst->nb[3]; + + size_t r0 = r / HMX_FP16_TILE_N_ROWS; + size_t r1 = r % HMX_FP16_TILE_N_ROWS; + const __fp16 * tile_row_base = o_tile_src + r0 * HMX_FP16_TILE_N_ROWS * DV; + + if (factx->is_dst_fp32) { + float * out = (float *) dst_row; + for (uint32_t d = 0; d < DV / 32; ++d) { + const HVX_Vector * in_tile = (const HVX_Vector *) (tile_row_base + d * HMX_FP16_TILE_N_ELMS); + HVX_VectorPair vp = hvx_vec_f16_to_f32_shuff(in_tile[r1 / 2]); + if (r1 % 2 == 0) { + *(HVX_UVector *) (out + d * 32) = Q6_V_lo_W(vp); + } else { + *(HVX_UVector *) (out + d * 32) = Q6_V_hi_W(vp); + } + } + } else { + __fp16 * out = (__fp16 *) dst_row; + for (uint32_t d = 0; d < DV / 64; ++d) { + const __fp16 * in_dual_tile = tile_row_base + d * HMX_FP16_TILE_N_ELMS * 2; + const HVX_Vector * pv_in0 = ((const HVX_Vector *) in_dual_tile) + r1 / 2; + const HVX_Vector * pv_in1 = pv_in0 + 16; + HVX_VectorPair vp = Q6_W_vdeal_VVR(*pv_in1, *pv_in0, -2); + if (r1 % 2 == 0) { + *(HVX_UVector *) (out + d * 64) = Q6_V_lo_W(vp); + } else { + *(HVX_UVector *) (out + d * 64) = Q6_V_hi_W(vp); + } + } + } + } +} + +static void fa_phase_o_store(struct hmx_fa_context * factx, + const struct htp_tensor * dst, + const __fp16 * o_tile_src, + uint32_t q_start, + uint32_t kv_head, + uint32_t ib3, + size_t n_rows_g) { + worker_pool_context_t wp = factx->octx->ctx->worker_pool; + fa_o_store_args_t args = { factx, dst, o_tile_src, q_start, kv_head, ib3, n_rows_g }; + if (factx->n_threads > 1 && n_rows_g >= (size_t) (factx->n_threads * 2)) { + worker_pool_run_func(wp, fa_o_store_thread, &args, factx->n_threads); + } else { + fa_o_store_thread(1, 0, &args); + } +} + +// ============================================================================ +// Multi-thread softmax phase + serial m/l update + build_D +// ============================================================================ + +typedef struct { + struct hmx_fa_context * factx; + size_t kv_rows; + size_t n_rows_g; + size_t n_col_tiles; + size_t n_tiles_per_bc; + size_t n_row_tiles; + size_t n_row_tiles_g_br; + uint32_t Bc; + uint32_t G; + uint32_t kv_head; + uint32_t kv_start; + uint32_t q_start; + uint32_t ib3; + bool has_alibi; // true when max_bias != 0 (need slope * mask + add) + + // ALiBi per-head slopes (indexed by GQA-merged row: slope[r] for r in [0, n_rows_g)) + // slope[r] = 1.0 when max_bias == 0 (no ALiBi) + // Pointer into hmx_fa_context.vtcm_slopes (sized to g_br) + __fp16 * slopes; + + // Mask info (preloaded before softmax) + const struct htp_tensor * mask; + const __fp16 * mask_vtcm; // VTCM mask buffer base (NULL = DDR fallback) + size_t mask_vtcm_row_stride; // elements (__fp16) per row in VTCM mask buffer +} fa_softmax_args_t; + +static void fa_softmax_thread(unsigned int n, unsigned int i, void * data) { + fa_softmax_args_t * args = (fa_softmax_args_t *) data; + struct hmx_fa_context * factx = args->factx; + + const size_t n_rows_g = args->n_rows_g; + const size_t kv_rows = args->kv_rows; + const size_t Bc = args->Bc; + const size_t G = args->G; + const size_t n_tiles_per_bc = args->n_tiles_per_bc; + const size_t n_row_vec_cnt = hmx_ceil_div(n_rows_g, 64); + + // Partition r_vec_idx across threads + const size_t vecs_per_t = hmx_ceil_div(n_row_vec_cnt, n); + const size_t vec_start = i * vecs_per_t; + const size_t vec_end = hex_smin(vec_start + vecs_per_t, n_row_vec_cnt); + + if (vec_start >= n_row_vec_cnt) { + return; + } + + // Per-thread row scratch: thread i uses bufs at offset i * 2 * stride + const size_t row_buf_stride = factx->row_buf_stride; + HVX_Vector * my_row_buf0 = factx->vtcm_row_bufs + i * 2 * row_buf_stride; + HVX_Vector * my_row_buf1 = my_row_buf0 + row_buf_stride; + + const HVX_Vector v_neg_inf = Q6_Vh_vsplat_R(0xfbff); + + // Per-row accumulators: each fp16 lane in a 64-lane vector holds one row's scalar. + // CONTRACT: lane bits must be IEEE fp16 (hf), never qf16 — qf16 uses a different + // bit layout, so a later hf-domain read would silently produce wrong values. + // Convert first via Q6_Vhf_equals_Vqf16(). For reference: vtcm_m_vec/vtcm_s_rowmax + // are hf; vtcm_l_vec is qf16 — don't mix them up. + + for (size_t r_vec_idx = vec_start; r_vec_idx < vec_end; ++r_vec_idx) { + HVX_Vector rowmax_acc_v = v_neg_inf; + HVX_Vector rowsum_acc_v = Q6_V_vzero(); + HVX_Vector m_prev_v = factx->vtcm_m_vec[r_vec_idx]; + + for (int r_vec_off = 0; r_vec_off < 64; r_vec_off += 2) { + int r = r_vec_idx * 64 + r_vec_off; + if (r >= (int) hex_align_up(n_rows_g, 2)) { + break; + } + + int r0 = r / HMX_FP16_TILE_N_ROWS; + int r1 = r % HMX_FP16_TILE_N_ROWS; + + const __fp16 * s_ld_base = factx->vtcm_s_tiles + r0 * HMX_FP16_TILE_N_ROWS * Bc; + __fp16 * p_st_base = factx->vtcm_p_tiles + r0 * HMX_FP16_TILE_N_ROWS * Bc; + + // Decode 2 rows from S tiles into per-thread row buffers + HVX_Vector * pv_row_buf0 = my_row_buf0; + HVX_Vector * pv_row_buf1 = my_row_buf1; + for (size_t c = 0; c < kv_rows; c += 64) { + const __fp16 * in_dual_tile = s_ld_base + (c / 64) * HMX_FP16_TILE_N_ELMS * 2; + const HVX_Vector * pv_s_in0 = ((const HVX_Vector *) in_dual_tile) + r1 / 2; + const HVX_Vector * pv_s_in1 = pv_s_in0 + 16; + + HVX_VectorPair vp_s_dual_row = Q6_W_vdeal_VVR(*pv_s_in1, *pv_s_in0, -2); + *pv_row_buf0++ = Q6_V_lo_W(vp_s_dual_row); + *pv_row_buf1++ = Q6_V_hi_W(vp_s_dual_row); + } + + // Apply softcap if enabled (in F32 precision) + if (factx->logit_softcap != 0.0f) { + // When EXP2_HF is on, fold log2(e) into v_cap so the output lands in + // log2(e)-scaled space for the downstream exp2. log2(e) is kept OUT + // of qk_scale in this configuration (see scale setup) so tanh sees + // the physical QK/(√d·c) argument. + float cap = factx->logit_softcap; +#ifdef HMX_FA_USE_EXP2_HF + cap *= 1.44269504f; // log2(e) +#endif + const HVX_Vector v_cap = hvx_vec_splat_f32(cap); + for (size_t c = 0; c < kv_rows; c += 64) { + size_t ci = c / 64; + + HVX_VectorPair r0_f32 = hvx_vec_f16_to_f32(my_row_buf0[ci]); + HVX_Vector t0_lo = hvx_vec_tanh_f32(Q6_V_lo_W(r0_f32)); + HVX_Vector t0_hi = hvx_vec_tanh_f32(Q6_V_hi_W(r0_f32)); + t0_lo = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t0_lo, v_cap)); + t0_hi = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t0_hi, v_cap)); + my_row_buf0[ci] = hvx_vec_f32_to_f16(t0_lo, t0_hi); + + HVX_VectorPair r1_f32 = hvx_vec_f16_to_f32(my_row_buf1[ci]); + HVX_Vector t1_lo = hvx_vec_tanh_f32(Q6_V_lo_W(r1_f32)); + HVX_Vector t1_hi = hvx_vec_tanh_f32(Q6_V_hi_W(r1_f32)); + t1_lo = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t1_lo, v_cap)); + t1_hi = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t1_hi, v_cap)); + my_row_buf1[ci] = hvx_vec_f32_to_f16(t1_lo, t1_hi); + } + } + + // Apply mask & compute rowmax(S) + // + // Optimizations over baseline: + // A. No-ALiBi fast path: when max_bias==0 (slope≡1.0), skip the + // slope multiplication — still add mask (additive bias) but + // avoid the mul_f16_f16. Saves 2 ops/dual-row vs ALiBi path. + // B. GQA mask row dedup: G consecutive Q rows share one mask row + // (qi = r / G). Reuse mask vector when qi is unchanged between + // row0 and row1 (saves ~75% of VTCM loads for G=4). + + // ALiBi slopes — only needed when has_alibi (scheme A) + HVX_Vector v_slope0, v_slope1; + if (args->has_alibi) { + HVX_Vector v_s = hvx_vmemu(args->slopes + r); + v_slope0 = hvx_vec_repl_f16(v_s); + v_slope1 = (r + 1 < (int) n_rows_g) ? hvx_vec_repl_f16(Q6_V_vror_VR(v_s, 2)) : Q6_V_vzero(); + } + + const HVX_Vector v_threshold = Q6_Vh_vsplat_R(0xcc00); // fp16 -16.0 (hoisted outside for-c) + + HVX_Vector v_s_rowmax0 = v_neg_inf; + HVX_Vector v_s_rowmax1 = v_neg_inf; + for (size_t c = 0; c < kv_rows; c += 64) { + size_t ci = c / 64; + const size_t ne = hex_smin(kv_rows - c, 64); + HVX_VectorPred q_tail_keep = Q6_Q_vsetq2_R(ne * sizeof(__fp16)); + + if (args->mask) { + HVX_Vector v_mask0, v_mask1; + + if (args->mask_vtcm) { + // Read mask from VTCM buffer (DMA'd per KV block). + // GQA dedup (scheme B): skip load when qi unchanged. + const size_t qi0 = (r + 0) / G; + v_mask0 = *(const HVX_UVector *) (args->mask_vtcm + qi0 * args->mask_vtcm_row_stride + c); + v_mask1 = v_neg_inf; + if (r + 1 < (int) n_rows_g) { + const size_t qi1 = (r + 1) / G; + if (qi1 == qi0) { + v_mask1 = v_mask0; // scheme B: reuse — same mask row + } else { + v_mask1 = *(const HVX_UVector *) (args->mask_vtcm + qi1 * args->mask_vtcm_row_stride + c); + } + } + } else { + // Fallback: read mask directly from DDR (when mask->ne[2] > 1). + const struct htp_tensor * mask = args->mask; + const size_t q_idx0 = args->q_start + ((r + 0) / G); + const size_t h_idx0 = args->kv_head * G + (r + 0) % G; + const uint32_t im2_0 = h_idx0 % mask->ne[2]; + const uint32_t im3_0 = args->ib3 % mask->ne[3]; + + const __fp16 * m0_ptr = (const __fp16 *) ((const uint8_t *) mask->data + q_idx0 * mask->nb[1] + + im2_0 * mask->nb[2] + im3_0 * mask->nb[3]) + args->kv_start + c; + v_mask0 = *(const HVX_UVector *) m0_ptr; + v_mask1 = v_neg_inf; + + if (r + 1 < (int) n_rows_g) { + const size_t q_idx1 = args->q_start + ((r + 1) / G); + if (q_idx1 == q_idx0) { + // scheme B: same mask row in DDR path + v_mask1 = v_mask0; + } else { + const size_t h_idx1 = args->kv_head * G + (r + 1) % G; + const uint32_t im2_1 = h_idx1 % mask->ne[2]; + const uint32_t im3_1 = args->ib3 % mask->ne[3]; + const __fp16 * m1_ptr = (const __fp16 *) ((const uint8_t *) mask->data + q_idx1 * mask->nb[1] + + im2_1 * mask->nb[2] + im3_1 * mask->nb[3]) + args->kv_start + c; + v_mask1 = *(const HVX_UVector *) m1_ptr; + } + } + } + + // Threshold: mask values below -16.0 are treated as -inf (causal mask). + HVX_VectorPred q_keep0 = Q6_Q_and_QQ(Q6_Q_vcmp_gt_VhfVhf(v_mask0, v_threshold), q_tail_keep); + HVX_VectorPred q_keep1 = Q6_Q_and_QQ(Q6_Q_vcmp_gt_VhfVhf(v_mask1, v_threshold), q_tail_keep); + + if (args->has_alibi) { + // ALiBi path: S += slope * mask (full mul + add) + HVX_Vector v_sm0 = hvx_vec_mul_f16_f16(v_mask0, v_slope0); + HVX_Vector v_sm1 = hvx_vec_mul_f16_f16(v_mask1, v_slope1); + my_row_buf0[ci] = Q6_V_vmux_QVV(q_keep0, hvx_vec_add_f16_f16(my_row_buf0[ci], v_sm0), v_neg_inf); + my_row_buf1[ci] = Q6_V_vmux_QVV(q_keep1, hvx_vec_add_f16_f16(my_row_buf1[ci], v_sm1), v_neg_inf); + } else { + // No-ALiBi fast path (scheme A): slope≡1.0, skip the mul + // but still add mask (additive positional bias). vmux + // clamps mask < -16 to -inf as a numerical safeguard. + my_row_buf0[ci] = Q6_V_vmux_QVV(q_keep0, hvx_vec_add_f16_f16(my_row_buf0[ci], v_mask0), v_neg_inf); + my_row_buf1[ci] = Q6_V_vmux_QVV(q_keep1, hvx_vec_add_f16_f16(my_row_buf1[ci], v_mask1), v_neg_inf); + } + } else { + if (ne < 64) { + my_row_buf0[ci] = Q6_V_vmux_QVV(q_tail_keep, my_row_buf0[ci], v_neg_inf); + my_row_buf1[ci] = Q6_V_vmux_QVV(q_tail_keep, my_row_buf1[ci], v_neg_inf); + } + } + + v_s_rowmax0 = Q6_Vhf_vmax_VhfVhf(v_s_rowmax0, my_row_buf0[ci]); + v_s_rowmax1 = Q6_Vhf_vmax_VhfVhf(v_s_rowmax1, my_row_buf1[ci]); + } + + v_s_rowmax0 = hvx_vec_reduce_max_f16(v_s_rowmax0); + v_s_rowmax1 = hvx_vec_reduce_max_f16(v_s_rowmax1); + + // Splat m_prev[r], m_prev[r+1] from the per-row accumulator. + // vror brings the target lane to lane 0, then extract + re-splat. + HVX_Vector v_m_prev0 = hvx_vec_splat_f16(hvx_vec_get_f16(Q6_V_vror_VR(m_prev_v, r_vec_off * 2))); + HVX_Vector v_m_prev1 = hvx_vec_splat_f16(hvx_vec_get_f16(Q6_V_vror_VR(m_prev_v, (r_vec_off + 1) * 2))); + + // HVX max — both operands are splats, so result is splat of m_new. + HVX_Vector v_dup_m0 = Q6_Vhf_vmax_VhfVhf(v_m_prev0, v_s_rowmax0); + HVX_Vector v_dup_m1 = Q6_Vhf_vmax_VhfVhf(v_m_prev1, v_s_rowmax1); + + // Insert row r, r+1 rowmax into rowmax_acc_v via 2-byte-wide vmux. + // Byte ranges: lane0 = [r_vec_off*2 .. r_vec_off*2+1], lane1 shifted by 2. + // vsetq2 handles the n=128 corner case when r_vec_off reaches 62. + { + HVX_VectorPred p_start = Q6_Q_vsetq_R(r_vec_off * 2); + HVX_VectorPred p_mid = Q6_Q_vsetq_R((r_vec_off + 1) * 2); + HVX_VectorPred p_end = Q6_Q_vsetq2_R((r_vec_off + 2) * 2); + HVX_VectorPred p_lane0 = Q6_Q_and_QQn(p_mid, p_start); + HVX_VectorPred p_lane1 = Q6_Q_and_QQn(p_end, p_mid); + rowmax_acc_v = Q6_V_vmux_QVV(p_lane0, v_dup_m0, rowmax_acc_v); + rowmax_acc_v = Q6_V_vmux_QVV(p_lane1, v_dup_m1, rowmax_acc_v); + } + + // Compute P = exp(S - m_new), using HVX exp + const HVX_Vector v_zero = Q6_V_vzero(); + HVX_Vector v_p_rowsum0 = v_zero; + HVX_Vector v_p_rowsum1 = v_zero; + +#ifdef HMX_FA_USE_EXP2_HF + // FP16 exp2 polynomial path (matches htp-ops-lib flash_attn.c): + // P = exp2(S - m_new) + for (size_t c = 0; c < kv_rows; c += 64) { + size_t ci = c / 64; + HVX_Vector v_s_minus_m0 = Q6_Vqf16_vsub_VhfVhf(my_row_buf0[ci], v_dup_m0); + HVX_Vector v_s_minus_m1 = Q6_Vqf16_vsub_VhfVhf(my_row_buf1[ci], v_dup_m1); + + HVX_Vector v_p_row0_hf = hvx_exp2_hf(Q6_Vhf_equals_Vqf16(v_s_minus_m0)); + HVX_Vector v_p_row1_hf = hvx_exp2_hf(Q6_Vhf_equals_Vqf16(v_s_minus_m1)); +#else + // F32 exp path: qf16 → f32 → exp → f32 → f16. Higher precision, + for (size_t c = 0; c < kv_rows; c += 64) { + size_t ci = c / 64; + HVX_Vector v_s_minus_m0 = Q6_Vqf16_vsub_VhfVhf(my_row_buf0[ci], v_dup_m0); + HVX_Vector v_s_minus_m1 = Q6_Vqf16_vsub_VhfVhf(my_row_buf1[ci], v_dup_m1); + + HVX_VectorPair vp0 = hvx_vec_f16_to_f32_shuff(Q6_Vhf_equals_Vqf16(v_s_minus_m0)); + HVX_Vector p0_lo = hvx_vec_exp_f32(Q6_V_lo_W(vp0)); + HVX_Vector p0_hi = hvx_vec_exp_f32(Q6_V_hi_W(vp0)); + HVX_Vector v_p_row0_hf = hvx_vec_f32_to_f16_shuff(p0_lo, p0_hi); + + HVX_VectorPair vp1 = hvx_vec_f16_to_f32_shuff(Q6_Vhf_equals_Vqf16(v_s_minus_m1)); + HVX_Vector p1_lo = hvx_vec_exp_f32(Q6_V_lo_W(vp1)); + HVX_Vector p1_hi = hvx_vec_exp_f32(Q6_V_hi_W(vp1)); + HVX_Vector v_p_row1_hf = hvx_vec_f32_to_f16_shuff(p1_lo, p1_hi); +#endif + // Write P to tile format. Dual-tile pattern assumes Bc is a + // multiple of 64 (enforced by bc_unit=64 in hmx_fa_find_chunk_size), + // so both tile halves are always in the current r0 block. + __fp16 * out_dual_tile = p_st_base + (c / 64) * HMX_FP16_TILE_N_ELMS * 2; + HVX_Vector * pv_p_out0 = ((HVX_Vector *) out_dual_tile) + r1 / 2; + HVX_Vector * pv_p_out1 = pv_p_out0 + 16; + + HVX_VectorPair vp_p_dual = Q6_W_vshuff_VVR(v_p_row1_hf, v_p_row0_hf, -2); + *pv_p_out0 = Q6_V_lo_W(vp_p_dual); + *pv_p_out1 = Q6_V_hi_W(vp_p_dual); + + HVX_VectorPair vp_p0 = hvx_vec_f16_to_f32_shuff(v_p_row0_hf); + HVX_VectorPair vp_p1 = hvx_vec_f16_to_f32_shuff(v_p_row1_hf); + + v_p_rowsum0 = Q6_Vqf32_vadd_Vqf32Vqf32(v_p_rowsum0, Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(vp_p0), Q6_V_hi_W(vp_p0))); + v_p_rowsum1 = Q6_Vqf32_vadd_Vqf32Vqf32(v_p_rowsum1, Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(vp_p1), Q6_V_hi_W(vp_p1))); + } + + HVX_Vector rowsum0_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(v_p_rowsum0)); + HVX_Vector rowsum1_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(v_p_rowsum1)); + { + // Both inputs are f32 splats, so the f32->f16 output is an fp16 splat. + HVX_Vector rv0_v = hvx_vec_f32_to_f16(rowsum0_sf, rowsum0_sf); + HVX_Vector rv1_v = hvx_vec_f32_to_f16(rowsum1_sf, rowsum1_sf); + + HVX_VectorPred p_start = Q6_Q_vsetq_R(r_vec_off * 2); + HVX_VectorPred p_mid = Q6_Q_vsetq_R((r_vec_off + 1) * 2); + HVX_VectorPred p_end = Q6_Q_vsetq2_R((r_vec_off + 2) * 2); + HVX_VectorPred p_lane0 = Q6_Q_and_QQn(p_mid, p_start); + HVX_VectorPred p_lane1 = Q6_Q_and_QQn(p_end, p_mid); + rowsum_acc_v = Q6_V_vmux_QVV(p_lane0, rv0_v, rowsum_acc_v); + rowsum_acc_v = Q6_V_vmux_QVV(p_lane1, rv1_v, rowsum_acc_v); + } + } + + factx->vtcm_s_rowmax[r_vec_idx] = rowmax_acc_v; + factx->vtcm_p_rowsum[r_vec_idx] = rowsum_acc_v; + } +} + +// Serial m/l update + build_D. Must run after softmax barrier (s_rowmax written by all threads). +// +// noinline: function boundary acts as a hard compiler barrier so the (size_t)addr scatter +// intrinsics inside cannot be hoisted past the call site. Mirrors the structural protection +// matmul gets for free via worker_pool function-pointer dispatch. Without this, the compiler +// can reorder the scatter past the subsequent hmx_queue_push and the HMX-queue worker thread +// reads stale VTCM (PPL → ~vocab-size). +static __attribute__((noinline)) void fa_ml_update_and_build_d(struct hmx_fa_context * factx, + size_t n_rows_g, + size_t n_row_tiles, + size_t n_row_tiles_g_br) { + // Reuse s_rowmax buffer for exp(m_diff) — safe because softmax is fully complete + HVX_Vector * const mvec_exp_m_diff = factx->vtcm_s_rowmax; + + const size_t n_row_vec_cnt = hmx_ceil_div(n_rows_g, 64); + for (size_t i = 0; i < n_row_vec_cnt; ++i) { + HVX_Vector v_m_prev = factx->vtcm_m_vec[i]; + HVX_Vector v_m_curr = Q6_Vhf_vmax_VhfVhf(v_m_prev, factx->vtcm_s_rowmax[i]); + HVX_Vector v_m_diff = Q6_Vqf16_vsub_VhfVhf(v_m_prev, v_m_curr); + +#ifdef HMX_FA_USE_EXP2_HF + // Base-2 path: must match P = exp2(S - m_new) in fa_softmax_thread. + HVX_Vector v_exp_m_diff = hvx_exp2_hf(Q6_Vhf_equals_Vqf16(v_m_diff)); +#else + HVX_VectorPair vp_diff = hvx_vec_f16_to_f32_shuff(Q6_Vhf_equals_Vqf16(v_m_diff)); + HVX_Vector exp_lo = hvx_vec_exp_f32(Q6_V_lo_W(vp_diff)); + HVX_Vector exp_hi = hvx_vec_exp_f32(Q6_V_hi_W(vp_diff)); + HVX_Vector v_exp_m_diff = hvx_vec_f32_to_f16_shuff(exp_lo, exp_hi); +#endif + + HVX_Vector v_l_curr = Q6_Vqf16_vmpy_Vqf16Vhf(factx->vtcm_l_vec[i], v_exp_m_diff); + v_l_curr = Q6_Vqf16_vadd_Vqf16Vhf(v_l_curr, factx->vtcm_p_rowsum[i]); + + factx->vtcm_m_vec[i] = v_m_curr; + factx->vtcm_l_vec[i] = v_l_curr; + mvec_exp_m_diff[i] = v_exp_m_diff; + } + + // Build diagonal tile D = diag(exp(m_diff)) + const HVX_Vector v_offsets = *(const HVX_Vector *) d_tile_scatter_offsets; + const HVX_VectorPred q_32_mask = Q6_Q_vsetq_R(32 * sizeof(__fp16)); + for (size_t i = 0; i < n_row_tiles; ++i) { + const HVX_Vector v_content = Q6_V_vror_VR(mvec_exp_m_diff[i / 2], (i % 2) * 64); + __fp16 * out_base = factx->vtcm_d_tiles + i * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS; + Q6_vscatter_QRMVhV(q_32_mask, (size_t) out_base, HMX_FP16_TILE_SIZE - 1, v_offsets, v_content); + // Compiler barrier — Q6_vscatter takes (size_t)addr; without this the + // compiler may not recognize the volatile read below as aliasing and + // could reorder it before the scatter, defeating the HW drain. + __asm__ __volatile__("" ::: "memory"); + // Per-tile drain: scatter regions are disjoint (stride > tile size), + // so a single drain at tile 0 does NOT retire later tiles' entries. + (void) *(volatile HVX_Vector *) out_base; + } +} + +// Build D = diag(1/l) tile for the final O = D @ O normalization. +// +// noinline: same rationale as fa_ml_update_and_build_d — keeps Q6_vscatter from +// being hoisted past the subsequent hmx_queue_push at the o_norm call site. +static __attribute__((noinline)) void fa_build_d_diag_inv_l(struct hmx_fa_context * factx, + size_t n_row_tiles, + size_t n_row_tiles_g_br) { + const HVX_Vector v_offsets = *(const HVX_Vector *) d_tile_scatter_offsets; + const HVX_VectorPred q_32_mask = Q6_Q_vsetq_R(32 * sizeof(__fp16)); + const HVX_Vector one = hvx_vec_splat_f32(1.0f); + + HVX_Vector v_content = Q6_V_vzero(); + for (size_t i = 0; i < n_row_tiles; ++i) { + if ((i % 2) == 0) { + HVX_Vector v_l_hf = Q6_Vhf_equals_Vqf16(factx->vtcm_l_vec[i / 2]); + HVX_VectorPair vp_l = hvx_vec_f16_to_f32_shuff(v_l_hf); + HVX_Vector inv_lo = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(one, hvx_vec_inverse_f32(Q6_V_lo_W(vp_l)))); + HVX_Vector inv_hi = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(one, hvx_vec_inverse_f32(Q6_V_hi_W(vp_l)))); + v_content = hvx_vec_f32_to_f16_shuff(inv_lo, inv_hi); + } else { + v_content = Q6_V_vror_VR(v_content, 64); + } + + __fp16 * out_base = factx->vtcm_d_tiles + i * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS; + Q6_vscatter_QRMVhV(q_32_mask, (size_t) out_base, HMX_FP16_TILE_SIZE - 1, v_offsets, v_content); + // Compiler barrier — see fa_ml_update_and_build_d for rationale. + __asm__ __volatile__("" ::: "memory"); + (void) *(volatile HVX_Vector *) out_base; + } +} + +// Combined: multi-thread softmax -> barrier -> serial m/l update + build_D +static void fa_phase_softmax_and_build_d(struct hmx_fa_context * factx, + fa_softmax_args_t * sargs, + size_t n_row_tiles, + size_t n_row_tiles_g_br) { + worker_pool_context_t wp = factx->octx->ctx->worker_pool; + const size_t n_row_vec_cnt = hmx_ceil_div(sargs->n_rows_g, 64); + + if (factx->n_threads > 1 && n_row_vec_cnt >= 2) { + uint32_t n_use = (uint32_t) hex_smin((size_t) factx->n_threads, n_row_vec_cnt); + worker_pool_run_func(wp, fa_softmax_thread, sargs, n_use); + } else { + fa_softmax_thread(1, 0, sargs); + } + // barrier implicit in worker_pool_run_func return + + fa_ml_update_and_build_d(factx, sargs->n_rows_g, n_row_tiles, n_row_tiles_g_br); +} + +// ============================================================================ +// HMX job structs and worker functions +// ============================================================================ + +typedef struct { + const __fp16 * q_tiles; + const __fp16 * k_tiles; + __fp16 * s_tiles; + size_t n_row_tiles; + size_t n_col_tiles; + size_t n_dot_tiles; // DK / 32 + size_t n_tiles_per_bc; + uint8_t * hmx_scales; +} hmx_fa_qk_job_t; + +static void hmx_fa_qk_dot_worker(void * data) { + hmx_fa_qk_job_t * job = (hmx_fa_qk_job_t *) data; + const size_t n_row_tiles = job->n_row_tiles; + const size_t n_col_tiles = job->n_col_tiles; + const size_t n_dot_tiles = job->n_dot_tiles; + const size_t n_tiles_per_bc = job->n_tiles_per_bc; + const __fp16 * restrict q_tiles = job->q_tiles; + const __fp16 * restrict k_tiles = job->k_tiles; + __fp16 * restrict s_tiles = job->s_tiles; + __builtin_assume(n_row_tiles > 0); + __builtin_assume(n_col_tiles > 0); + __builtin_assume(n_dot_tiles > 0); + + Q6_bias_mxmem2_A((void *) job->hmx_scales); + for (size_t r = 0; r < n_row_tiles; ++r) { + for (size_t c = 0; c < n_col_tiles; ++c) { + const __fp16 * row_tiles = q_tiles + r * HMX_FP16_TILE_N_ROWS * n_dot_tiles * HMX_FP16_TILE_N_COLS; + const __fp16 * col_tiles = k_tiles + c * HMX_FP16_TILE_N_COLS * n_dot_tiles * HMX_FP16_TILE_N_COLS; + __fp16 * out_tile = s_tiles + (r * n_tiles_per_bc + c) * HMX_FP16_TILE_N_ELMS; + + for (size_t k = 0; k < n_dot_tiles; ++k) { + Q6_activation_hf_mxmem_RR((unsigned int) row_tiles, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) col_tiles, 2047); + row_tiles += HMX_FP16_TILE_N_ELMS; + col_tiles += HMX_FP16_TILE_N_ELMS; + } + Q6_mxmem_AR_after_hf(out_tile, 0); + } + } +} + +typedef struct { + __fp16 * o_curr; + const __fp16 * o_prev; + const __fp16 * p_tiles; + const __fp16 * v_tiles; + const __fp16 * d_tiles; + uint8_t * hmx_scales; + size_t n_row_tiles; + size_t n_col_tiles; + size_t n_row_tiles_g_br; + size_t n_tiles_per_bc; + size_t DV; +} hmx_fa_o_update_job_t; + +static void hmx_fa_o_update_worker(void * data) { + hmx_fa_o_update_job_t * job = (hmx_fa_o_update_job_t *) data; + const size_t n_row_tiles = job->n_row_tiles; + const size_t n_col_tiles = job->n_col_tiles; + const size_t n_row_tiles_g_br = job->n_row_tiles_g_br; + const size_t n_tiles_per_bc = job->n_tiles_per_bc; + const size_t DV_tiles = job->DV / 32; + const __fp16 * restrict d_tiles = job->d_tiles; + const __fp16 * restrict p_tiles = job->p_tiles; + const __fp16 * restrict v_tiles = job->v_tiles; + const __fp16 * restrict o_prev = job->o_prev; + __fp16 * restrict o_curr = job->o_curr; + __builtin_assume(n_row_tiles > 0); + __builtin_assume(n_col_tiles > 0); + __builtin_assume(DV_tiles > 0); + + Q6_bias_mxmem2_A((void *) job->hmx_scales); + for (size_t r = 0; r < n_row_tiles; ++r) { + for (size_t c = 0; c < DV_tiles; ++c) { + // D[r,r] @ O_prev[r,c] — only the diagonal tile + const __fp16 * d_diag = d_tiles + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS; + const __fp16 * o_rc = o_prev + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS; + Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047); + + // P @ V (accumulate on same accumulator) + const __fp16 * p_tile_in = p_tiles + (r * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS; + const __fp16 * v_tile_in = v_tiles + (c * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS; + for (size_t k = 0; k < n_col_tiles; ++k) { + Q6_activation_hf_mxmem_RR((unsigned int) p_tile_in, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) v_tile_in, 2047); + p_tile_in += HMX_FP16_TILE_N_ELMS; + v_tile_in += HMX_FP16_TILE_N_ELMS; + } + + __fp16 * o_tile_out = o_curr + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS; + Q6_mxmem_AR_after_hf(o_tile_out, 0); + } + } +} + +typedef struct { + __fp16 * o_curr; // output (row-major tile layout) + const __fp16 * o_prev; // input (column-major tile layout) + const __fp16 * d_tiles; // diag(1/l) tiles + uint8_t * hmx_scales; + size_t n_row_tiles; + size_t n_row_tiles_g_br; + size_t DV; +} hmx_fa_o_norm_job_t; + +static void hmx_fa_o_norm_worker(void * data) { + hmx_fa_o_norm_job_t * job = (hmx_fa_o_norm_job_t *) data; + const size_t n_row_tiles = job->n_row_tiles; + const size_t n_row_tiles_g_br = job->n_row_tiles_g_br; + const size_t DV_tiles = job->DV / 32; + const __fp16 * restrict d_tiles = job->d_tiles; + const __fp16 * restrict o_prev = job->o_prev; + __fp16 * restrict o_curr = job->o_curr; + __builtin_assume(n_row_tiles > 0); + __builtin_assume(DV_tiles > 0); + + Q6_bias_mxmem2_A((void *) job->hmx_scales); + for (size_t r = 0; r < n_row_tiles; ++r) { + for (size_t c = 0; c < DV_tiles; ++c) { + const __fp16 * d_diag = d_tiles + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS; + const __fp16 * o_rc = o_prev + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS; + __fp16 * o_out = o_curr + (r * DV_tiles + c) * HMX_FP16_TILE_N_ELMS; + + Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047); + Q6_mxmem_AR_after_hf(o_out, 0); + } + } +} + +// Populate per-GQA-row ALiBi slopes for a given KV head. +// Row r in the GQA-merged block maps to Q head h = kv_head * G + r % G. +// slope(h) = m0^(h+1) when h < n_head_log2, else m1^(2*(h-n_head_log2)+1). +// When max_bias == 0, all slopes are 1.0 (no ALiBi). +static __attribute__((noinline)) void fa_compute_slopes(fa_softmax_args_t * sargs, + const struct hmx_fa_context * factx, + uint32_t kv_head, + size_t n_rows_g) { + if (factx->max_bias == 0.0f) { + for (size_t r = 0; r < n_rows_g; ++r) { + sargs->slopes[r] = 1.0f; + } + return; + } + + const uint32_t G = factx->G; + const uint32_t n_head_log2 = factx->n_head_log2; + const float m0 = factx->m0; + const float m1 = factx->m1; + + for (size_t r = 0; r < n_rows_g; ++r) { + const uint32_t h = kv_head * G + r % G; + sargs->slopes[r] = (h < n_head_log2) ? powf(m0, h + 1) : powf(m1, 2 * (h - n_head_log2) + 1); + } +} + +// ============================================================================ +// Core HMX flash attention algorithm (GQA-merged) +// ============================================================================ + +int hmx_flash_attn_ext(struct htp_ops_context * octx) { + const struct htp_tensor * q = octx->src[0]; + const struct htp_tensor * k = octx->src[1]; + const struct htp_tensor * v = octx->src[2]; + const struct htp_tensor * mask = (octx->src[3] && octx->src[3]->data) ? octx->src[3] : NULL; + const struct htp_tensor * dst = octx->dst; + + struct htp_context * const ctx = octx->ctx; + + if (!ctx->hmx_enabled) { + return HTP_STATUS_NO_SUPPORT; + } + + // Dimensions + const uint32_t neq0 = q->ne[0]; // head_dim (DK) + const uint32_t neq1 = q->ne[1]; // n_tokens + const uint32_t neq2 = q->ne[2]; // n_heads + const uint32_t neq3 = q->ne[3]; // n_seqs + + const uint32_t nek0 = k->ne[0]; // head_dim + const uint32_t nek1 = k->ne[1]; // kv_len + + const uint32_t nev0 = v->ne[0]; // head_dim (DV) + + const uint32_t DK = neq0; + const uint32_t DV = nev0; + + // HMX requires head_dim to be multiple of 32 + if (DK % 32 != 0 || DV % 32 != 0) { + return HTP_STATUS_NO_SUPPORT; + } + if (neq1 < 32) { + return HTP_STATUS_NO_SUPPORT; + } + + // GQA factor + const uint32_t n_kv_heads = k->ne[2]; + const uint32_t G = neq2 / n_kv_heads; + + // Thread count for multi-thread HVX phases + const uint32_t n_threads = octx->n_threads; + + // Compute dynamic block sizes (GQA-aware, accounting for per-thread row bufs) + size_t Br, Bc; + const size_t vtcm_budget = ctx->vtcm_size; + if (hmx_fa_find_chunk_size(&Br, &Bc, G, DK, DV, neq1, nek1, vtcm_budget, n_threads) != 0) { + return HTP_STATUS_VTCM_TOO_SMALL; + } + + const size_t g_br = hex_align_up(G * Br, HMX_FP16_TILE_N_ROWS); + + const uint32_t n_kv_blocks = (nek1 + Bc - 1) / Bc; + const bool use_pipeline = (n_kv_blocks >= FA_MIN_KV_BLOCKS && n_threads >= 2); + + FARF(HIGH, "hmx-fa: neq1=%u nek1=%u DK=%u DV=%u G=%u Br=%zu Bc=%zu g_br=%zu n_kv_blocks=%u pipeline=%d vtcm=%zu", + neq1, nek1, DK, DV, G, Br, Bc, g_br, n_kv_blocks, use_pipeline, vtcm_budget); + + // ======== Build context ======== + struct hmx_fa_context factx; + memset(&factx, 0, sizeof(factx)); + factx.octx = octx; + factx.n_threads = octx->ctx->n_threads; + factx.DK = DK; + factx.DV = DV; + factx.n_kv = nek1; + factx.n_kv_heads = n_kv_heads; + factx.n_heads = neq2; + factx.G = G; + factx.neq1 = neq1; + factx.Br = (uint32_t) Br; + factx.Bc = (uint32_t) Bc; + factx.g_br = (uint32_t) g_br; + factx.n_kv_blocks = n_kv_blocks; + factx.is_q_fp32 = (q->type == HTP_TYPE_F32); + factx.is_dst_fp32 = (dst->type == HTP_TYPE_F32); + factx.use_pipeline = use_pipeline; + factx.mask_broadcast = (mask != NULL && mask->ne[2] == 1); + + // Extract op parameters (mutable during softcap adjustment, then stored as const in factx) + float scale = 1.0f, max_bias = 0.0f, logit_softcap = 0.0f; + memcpy(&scale, (float *) octx->op_params + 0, sizeof(float)); + memcpy(&max_bias, (float *) octx->op_params + 1, sizeof(float)); + memcpy(&logit_softcap, (float *) octx->op_params + 2, sizeof(float)); + + if (logit_softcap != 0.0f) { + scale /= logit_softcap; + } + +#ifdef HMX_FA_USE_EXP2_HF + // Pre-bake log2(e) into qk_scale so HMX-produced S tiles are in log2(e)-scaled + // space. Then exp2(S - m) in the softmax equals base-e exp((S - m) / log2(e)), + // preserving ggml's base-e softmax semantics. Matches htp-ops-lib flash_attn.c. + // + // When softcap is active we cannot pre-bake log2(e) here — it would land inside + // the tanh argument and shift the softcap knee from x≈c to x≈c/log2(e), giving + // numerically wrong softcapped values. Instead fold log2(e) into the post-tanh + // multiplier (see softcap block: v_cap absorbs log2(e)). + if (logit_softcap == 0.0f) { + scale *= 1.44269504f; // log2(e) + } +#endif + + factx.scale = scale; + factx.max_bias = max_bias; + factx.logit_softcap = logit_softcap; + + factx.n_head_log2 = 1u << (uint32_t) floor(log2(neq2)); + factx.m0 = powf(2.0f, -(max_bias) / factx.n_head_log2); + factx.m1 = powf(2.0f, -(max_bias / 2.0f) / factx.n_head_log2); + + // ======== VTCM allocation (GQA-aware) ======== + const size_t q_tile_bytes = hex_align_up(g_br * DK * sizeof(__fp16), 4096); + const size_t o_tile_bytes = hex_align_up(g_br * DV * sizeof(__fp16), 4096); + const size_t k_dma_bytes = hex_align_up(Bc * DK * sizeof(__fp16), 4096); + const size_t v_dma_bytes = hex_align_up(Bc * DV * sizeof(__fp16), 4096); + const size_t k_tile_bytes = hex_align_up(Bc * DK * sizeof(__fp16), 4096); + const size_t v_tile_bytes = hex_align_up(Bc * DV * sizeof(__fp16), 4096); + const size_t s_tile_bytes = hex_align_up(g_br * Bc * sizeof(__fp16), 4096); + const size_t d_tile_bytes = hex_align_up(g_br * g_br * sizeof(__fp16), 4096); + const size_t col_vec_bytes = hex_align_up(g_br * sizeof(__fp16), 256); + const size_t row_vec_bytes = hex_align_up(Bc * sizeof(__fp16), 256); + const size_t m_line_bytes = hex_align_up(Bc * sizeof(__fp16), 128); + const size_t m_buf_bytes = hex_align_up(Br * m_line_bytes, 4096); + const size_t slopes_bytes = hex_align_up(g_br * sizeof(__fp16), 128); + + uint8_t * vtcm_cur = ctx->vtcm_base; + + factx.vtcm_q_tiles = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, q_tile_bytes); + factx.vtcm_o_tiles[0] = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, o_tile_bytes); + factx.vtcm_o_tiles[1] = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, o_tile_bytes); + factx.vtcm_k_fp16[0] = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_dma_bytes); + factx.vtcm_k_fp16[1] = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_dma_bytes); + factx.vtcm_v_fp16[0] = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_dma_bytes); + factx.vtcm_v_fp16[1] = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_dma_bytes); + factx.vtcm_k_tiles = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_tile_bytes); + factx.vtcm_v_tiles = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_tile_bytes); + factx.vtcm_s_tiles = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, s_tile_bytes); + factx.vtcm_p_tiles = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, s_tile_bytes); + factx.vtcm_d_tiles = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, d_tile_bytes); + factx.vtcm_m_vec = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes); + factx.vtcm_l_vec = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes); + factx.vtcm_s_rowmax = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes); + factx.vtcm_p_rowsum = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes); + factx.vtcm_row_bufs = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, row_vec_bytes * 2 * n_threads); + factx.row_buf_stride = row_vec_bytes / sizeof(HVX_Vector); + factx.vtcm_hmx_scales_id = vtcm_seq_alloc(&vtcm_cur, 256); + factx.vtcm_hmx_scales_qk = vtcm_seq_alloc(&vtcm_cur, 256); + factx.vtcm_mask_buf = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, m_buf_bytes); + factx.mask_buf_row_stride = m_line_bytes / sizeof(__fp16); + factx.vtcm_slopes = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, slopes_bytes); + + if ((size_t) (vtcm_cur - ctx->vtcm_base) > ctx->vtcm_size) { + return HTP_STATUS_VTCM_TOO_SMALL; + } + + // ======== Initialize HMX output scales ======== + // Identity scale (1.0) for O updates and normalization + hmx_init_column_scales(factx.vtcm_hmx_scales_id, Q6_V_vsplat_R(0x3c00)); // 1.0 + + // QK scale embedded in HMX output + hmx_init_column_scales(factx.vtcm_hmx_scales_qk, hvx_vec_splat_f16(factx.scale)); + + // ======== Skip compute if profiling ======== + if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) { + return HTP_STATUS_OK; + } + + // Profiling timers + TIMER_DEFINE(total); + TIMER_DEFINE(q_load); + TIMER_DEFINE(kv_dma); + TIMER_DEFINE(k_interleave); + TIMER_DEFINE(v_interleave); + TIMER_DEFINE(qk_dot); + TIMER_DEFINE(softmax); + TIMER_DEFINE(o_update); + TIMER_DEFINE(o_norm); + TIMER_DEFINE(o_store); + + TIMER_START(total); + + // ======== DMA setup ======== + dma_queue * const dma = ctx->dma[0]; + + // Padded row sizes for DMA + const size_t size_k_row = nek0 * sizeof(__fp16); + const size_t size_v_row = nev0 * sizeof(__fp16); + const size_t size_k_row_padded = hex_round_up(nek0 * sizeof(__fp16), 128); + const size_t size_v_row_padded = hex_round_up(nev0 * sizeof(__fp16), 128); + + const size_t n_row_tiles_g_br = g_br / HMX_FP16_TILE_N_ROWS; + const size_t n_tiles_per_bc = Bc / HMX_FP16_TILE_N_COLS; + + // Q/O element size for Q load and O store + const size_t qo_element_size = factx.is_q_fp32 ? sizeof(float) : sizeof(__fp16); + + // ======== HMX lock strategy ======== + // Pipeline: queue thread auto-acquires HMX lock on first push; released by suspend. + // Fallback: main thread holds the lock (original behavior). + if (!factx.use_pipeline) { + HAP_compute_res_hmx_lock(ctx->vtcm_rctx); + } + + // ======== Reusable job descriptors for pipeline ======== + hmx_fa_qk_job_t qk_job; + hmx_fa_o_update_job_t ou_job; + hmx_fa_o_norm_job_t on_job; + + // ======== Main loop: per batch, per KV head, per Q block ======== + for (uint32_t ib3 = 0; ib3 < neq3; ++ib3) { + for (uint32_t kv_head = 0; kv_head < n_kv_heads; ++kv_head) { + const uint32_t ik2 = kv_head; + const uint32_t ik3 = ib3 / (neq3 / k->ne[3]); + const uint32_t iv2 = kv_head; + const uint32_t iv3 = ib3 / (neq3 / v->ne[3]); + + for (uint32_t q_start = 0; q_start < neq1; q_start += Br) { + const uint32_t n_q_rows = hex_smin(Br, neq1 - q_start); + const size_t n_rows_g = n_q_rows * G; + const size_t g_br_actual = hex_align_up(n_rows_g, HMX_FP16_TILE_N_ROWS); + const size_t n_row_tiles = g_br_actual / HMX_FP16_TILE_N_ROWS; + + // ---- Load Q block [g_br, D] -> tiles, interleaving G heads ---- + TIMER_START(q_load); + if (n_rows_g < g_br) { + hvx_splat_u8_a(factx.vtcm_q_tiles, 0, q_tile_bytes); + } + fa_phase_q_load(&factx, q, q_start, kv_head, ib3, n_rows_g); + TIMER_STOP(q_load); + + // ---- Initialize per-block state ---- + hvx_splat_u8_a(factx.vtcm_l_vec, 0, col_vec_bytes); + hvx_splat_u8_a(factx.vtcm_d_tiles, 0, d_tile_bytes); + hvx_splat_u16_a(factx.vtcm_m_vec, 0xfbff, col_vec_bytes/2); + + __fp16 * o_tile_prev = factx.vtcm_o_tiles[0]; + __fp16 * o_tile_curr = factx.vtcm_o_tiles[1]; + hvx_splat_u8_a(o_tile_prev, 0, o_tile_bytes); + + // ---- KV block loop with DMA double-buffering ---- + size_t buf_idx = 0; + + // Prefetch first KV block + if (factx.n_kv_blocks > 0) { + const uint32_t kv_rows0 = hex_smin(Bc, nek1); + + const uint8_t * k_src = (const uint8_t *) k->data + ik2 * k->nb[2] + ik3 * k->nb[3]; + dma_queue_push(dma, dma_make_ptr(factx.vtcm_k_fp16[0], k_src), size_k_row_padded, k->nb[1], + size_k_row, kv_rows0); + + const uint8_t * v_src = (const uint8_t *) v->data + iv2 * v->nb[2] + iv3 * v->nb[3]; + dma_queue_push(dma, dma_make_ptr(factx.vtcm_v_fp16[0], v_src), size_v_row_padded, v->nb[1], + size_v_row, kv_rows0); + } + + // Mask DMA: single 2D transfer of n_q_rows unique mask rows into VTCM buffer. + // Only when mask is head-broadcast (ne[2]==1); otherwise softmax reads DDR directly. + #define MASK_DMA_PUSH(kv_start_val, kv_rows_val, has_mask_dma_var) \ + do { \ + has_mask_dma_var = false; \ + if (mask && factx.mask_broadcast) { \ + const uint32_t _im3 = ib3 % mask->ne[3]; \ + const uint8_t * _ms = (const uint8_t *) mask->data + q_start * mask->nb[1] + _im3 * mask->nb[3] + \ + (kv_start_val) * sizeof(__fp16); \ + dma_queue_push(dma, dma_make_ptr(factx.vtcm_mask_buf, _ms), m_line_bytes, mask->nb[1], \ + (kv_rows_val) * sizeof(__fp16), n_q_rows); \ + has_mask_dma_var = true; \ + } \ + } while (0) + + #define MASK_DMA_POP(has_mask_dma_var) \ + do { \ + if (has_mask_dma_var) { \ + dma_queue_pop(dma); \ + } \ + } while (0) + + #define DMA_PREFETCH_KV(blk_val) \ + do { \ + if ((blk_val) < factx.n_kv_blocks) { \ + const uint32_t _ns = (blk_val) * Bc; \ + const uint32_t _nr = hex_smin(Bc, nek1 - _ns); \ + size_t _nb = 1 - buf_idx; \ + const uint8_t * _ks = (const uint8_t *) k->data + _ns * k->nb[1] + ik2 * k->nb[2] + ik3 * k->nb[3]; \ + dma_queue_push(dma, dma_make_ptr(factx.vtcm_k_fp16[_nb], _ks), size_k_row_padded, k->nb[1], size_k_row, _nr); \ + const uint8_t * _vs = (const uint8_t *) v->data + _ns * v->nb[1] + iv2 * v->nb[2] + iv3 * v->nb[3]; \ + dma_queue_push(dma, dma_make_ptr(factx.vtcm_v_fp16[_nb], _vs), size_v_row_padded, v->nb[1], size_v_row, _nr); \ + } \ + } while (0) + + const size_t k_src_stride = size_k_row_padded / sizeof(__fp16); + const size_t v_src_stride = size_v_row_padded / sizeof(__fp16); + + if (factx.use_pipeline) { + // ================================================================== + // Pipeline path: HVX phases ‖ HMX queue worker + // ================================================================== + struct hmx_queue * hmx_q = ctx->hmx_queue; + + for (uint32_t kv_blk = 0; kv_blk < factx.n_kv_blocks; ++kv_blk) { + const uint32_t kv_start = kv_blk * Bc; + const uint32_t kv_rows = hex_smin(Bc, nek1 - kv_start); + const size_t n_col_tiles = hmx_ceil_div(kv_rows, HMX_FP16_TILE_N_COLS); + + // Wait for current KV DMA + TIMER_START(kv_dma); + dma_queue_pop(dma); // K + dma_queue_pop(dma); // V + TIMER_STOP(kv_dma); + + // Push mask DMA for this block (single 2D DMA when broadcast) + bool has_mask_dma = false; + MASK_DMA_PUSH(kv_start, kv_rows, has_mask_dma); + + // ---- Phase 1: K_int(blk) ‖ O_update(blk-1) ---- + if (kv_blk > 0) { + // Submit O_update for previous block (HMX worker) + ou_job.o_curr = o_tile_curr; + ou_job.o_prev = o_tile_prev; + ou_job.p_tiles = factx.vtcm_p_tiles; + ou_job.v_tiles = factx.vtcm_v_tiles; + ou_job.d_tiles = factx.vtcm_d_tiles; + ou_job.hmx_scales = factx.vtcm_hmx_scales_id; + ou_job.n_row_tiles = n_row_tiles; + ou_job.n_col_tiles = hmx_ceil_div(hex_smin(Bc, nek1 - (kv_blk - 1) * Bc), HMX_FP16_TILE_N_COLS); + ou_job.n_row_tiles_g_br = n_row_tiles_g_br; + ou_job.n_tiles_per_bc = n_tiles_per_bc; + ou_job.DV = DV; + hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_o_update_worker, &ou_job)); + } + + TIMER_START(k_interleave); + fa_phase_k_interleave(&factx, kv_rows, k_src_stride, buf_idx); + TIMER_STOP(k_interleave); + + if (kv_blk > 0) { + hmx_queue_pop(hmx_q); + hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev); + } + + // ---- Phase 2: qk_dot(blk) on HMX ‖ V_int(blk) + DMA prefetch on HVX ---- + qk_job.q_tiles = factx.vtcm_q_tiles; + qk_job.k_tiles = factx.vtcm_k_tiles; + qk_job.s_tiles = factx.vtcm_s_tiles; + qk_job.n_row_tiles = n_row_tiles; + qk_job.n_col_tiles = n_col_tiles; + qk_job.n_dot_tiles = DK / 32; + qk_job.n_tiles_per_bc = n_tiles_per_bc; + qk_job.hmx_scales = factx.vtcm_hmx_scales_qk; + TIMER_START(qk_dot); + hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_qk_dot_worker, &qk_job)); + + // DMA push next block (non-blocking, before worker_pool) + DMA_PREFETCH_KV(kv_blk + 1); + + TIMER_START(v_interleave); + fa_phase_v_interleave(&factx, kv_rows, v_src_stride, buf_idx, n_tiles_per_bc); + TIMER_STOP(v_interleave); + + hmx_queue_pop(hmx_q); + TIMER_STOP(qk_dot); + + // ---- Phase 3: softmax(blk) + build_D(blk) | HMX idle ---- + // Pop mask DMA before softmax (ensures VTCM buffer is ready) + MASK_DMA_POP(has_mask_dma); + + fa_softmax_args_t sargs; + memset(&sargs, 0, sizeof(sargs)); + sargs.factx = &factx; + sargs.kv_rows = kv_rows; + sargs.n_rows_g = n_rows_g; + sargs.n_col_tiles = n_col_tiles; + sargs.n_tiles_per_bc = n_tiles_per_bc; + sargs.n_row_tiles = n_row_tiles; + sargs.n_row_tiles_g_br = n_row_tiles_g_br; + sargs.Bc = Bc; + sargs.G = G; + sargs.kv_head = kv_head; + sargs.kv_start = kv_start; + sargs.q_start = q_start; + sargs.ib3 = ib3; + sargs.has_alibi = (factx.max_bias != 0.0f); + sargs.mask = mask; + sargs.mask_vtcm = has_mask_dma ? (const __fp16 *) factx.vtcm_mask_buf : NULL; + sargs.mask_vtcm_row_stride = factx.mask_buf_row_stride; + sargs.slopes = factx.vtcm_slopes; + fa_compute_slopes(&sargs, &factx, kv_head, n_rows_g); + + TIMER_START(softmax); + fa_phase_softmax_and_build_d(&factx, &sargs, n_row_tiles, n_row_tiles_g_br); + TIMER_STOP(softmax); + + buf_idx = 1 - buf_idx; + } // end KV block loop (pipeline) + + // Epilogue: O_update for last block + if (factx.n_kv_blocks > 0) { + const uint32_t last_blk = factx.n_kv_blocks - 1; + const size_t last_cols = hmx_ceil_div(hex_smin(Bc, nek1 - last_blk * Bc), HMX_FP16_TILE_N_COLS); + ou_job.o_curr = o_tile_curr; + ou_job.o_prev = o_tile_prev; + ou_job.p_tiles = factx.vtcm_p_tiles; + ou_job.v_tiles = factx.vtcm_v_tiles; + ou_job.d_tiles = factx.vtcm_d_tiles; + ou_job.hmx_scales = factx.vtcm_hmx_scales_id; + ou_job.n_row_tiles = n_row_tiles; + ou_job.n_col_tiles = last_cols; + ou_job.n_row_tiles_g_br = n_row_tiles_g_br; + ou_job.n_tiles_per_bc = n_tiles_per_bc; + ou_job.DV = DV; + + TIMER_START(o_update); + hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_o_update_worker, &ou_job)); + hmx_queue_pop(hmx_q); + TIMER_STOP(o_update); + + hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev); + } + + } else { + // ================================================================== + // Fallback path: sequential with multi-thread HVX phases + // Main thread holds HMX lock, runs HMX inline. + // ================================================================== + + for (uint32_t kv_blk = 0; kv_blk < factx.n_kv_blocks; ++kv_blk) { + const uint32_t kv_start = kv_blk * Bc; + const uint32_t kv_rows = hex_smin(Bc, nek1 - kv_start); + const size_t n_col_tiles = hmx_ceil_div(kv_rows, HMX_FP16_TILE_N_COLS); + + TIMER_START(kv_dma); + dma_queue_pop(dma); // K + dma_queue_pop(dma); // V + TIMER_STOP(kv_dma); + + bool has_mask_dma = false; + MASK_DMA_PUSH(kv_start, kv_rows, has_mask_dma); + DMA_PREFETCH_KV(kv_blk + 1); + + // K interleave (multi-thread HVX) + TIMER_START(k_interleave); + fa_phase_k_interleave(&factx, kv_rows, k_src_stride, buf_idx); + TIMER_STOP(k_interleave); + + // QK dot (inline HMX on main thread) + TIMER_START(qk_dot); + { + const size_t n_dot_tiles = (size_t) (DK / 32); + const __fp16 * restrict q_base = factx.vtcm_q_tiles; + const __fp16 * restrict k_base = factx.vtcm_k_tiles; + __fp16 * restrict s_base = factx.vtcm_s_tiles; + __builtin_assume(n_row_tiles > 0); + __builtin_assume(n_col_tiles > 0); + __builtin_assume(n_dot_tiles > 0); + + Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_qk); + for (size_t r = 0; r < n_row_tiles; ++r) { + for (size_t c = 0; c < n_col_tiles; ++c) { + const __fp16 * row_tiles = q_base + r * HMX_FP16_TILE_N_ROWS * DK; + const __fp16 * col_tiles = k_base + c * HMX_FP16_TILE_N_COLS * DK; + __fp16 * out_tile = s_base + (r * n_tiles_per_bc + c) * HMX_FP16_TILE_N_ELMS; + for (size_t k = 0; k < n_dot_tiles; ++k) { + Q6_activation_hf_mxmem_RR((unsigned int) row_tiles, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) col_tiles, 2047); + row_tiles += HMX_FP16_TILE_N_ELMS; + col_tiles += HMX_FP16_TILE_N_ELMS; + } + Q6_mxmem_AR_after_hf(out_tile, 0); + } + } + } + TIMER_STOP(qk_dot); + + // Pop mask DMA + MASK_DMA_POP(has_mask_dma); + + // Softmax + build_D (multi-thread HVX + serial m/l update) + fa_softmax_args_t sargs; + memset(&sargs, 0, sizeof(sargs)); + sargs.factx = &factx; + sargs.kv_rows = kv_rows; + sargs.n_rows_g = n_rows_g; + sargs.n_col_tiles = n_col_tiles; + sargs.n_tiles_per_bc = n_tiles_per_bc; + sargs.n_row_tiles = n_row_tiles; + sargs.n_row_tiles_g_br = n_row_tiles_g_br; + sargs.Bc = Bc; + sargs.G = G; + sargs.kv_head = kv_head; + sargs.kv_start = kv_start; + sargs.q_start = q_start; + sargs.ib3 = ib3; + sargs.has_alibi = (factx.max_bias != 0.0f); + sargs.mask = mask; + sargs.mask_vtcm = has_mask_dma ? (const __fp16 *) factx.vtcm_mask_buf : NULL; + sargs.mask_vtcm_row_stride = factx.mask_buf_row_stride; + sargs.slopes = factx.vtcm_slopes; + fa_compute_slopes(&sargs, &factx, kv_head, n_rows_g); + + TIMER_START(softmax); + fa_phase_softmax_and_build_d(&factx, &sargs, n_row_tiles, n_row_tiles_g_br); + TIMER_STOP(softmax); + + // V interleave (multi-thread HVX) + TIMER_START(v_interleave); + // FIX(v-stride): use n_tiles_per_bc (block-invariant) as V tile layout + // stride to match o_update's v_tile access. Using per-block n_col_tiles + // misplaces DV_tile 1..3 in the last partial KV block. + fa_phase_v_interleave(&factx, kv_rows, v_src_stride, buf_idx, n_tiles_per_bc); + TIMER_STOP(v_interleave); + + // O update (inline HMX on main thread) + TIMER_START(o_update); + { + const size_t DV_tiles = (size_t) (DV / 32); + const __fp16 * restrict d_base = factx.vtcm_d_tiles; + const __fp16 * restrict p_base = factx.vtcm_p_tiles; + const __fp16 * restrict v_base = factx.vtcm_v_tiles; + const __fp16 * restrict op_base = o_tile_prev; + __fp16 * restrict oc_base = o_tile_curr; + __builtin_assume(n_row_tiles > 0); + __builtin_assume(n_col_tiles > 0); + __builtin_assume(DV_tiles > 0); + + Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_id); + for (size_t r = 0; r < n_row_tiles; ++r) { + for (size_t c = 0; c < DV_tiles; ++c) { + const __fp16 * d_diag = d_base + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS; + const __fp16 * o_rc = op_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS; + Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047); + + const __fp16 * p_tile_in = p_base + (r * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS; + const __fp16 * v_tile_in = v_base + (c * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS; + for (size_t k = 0; k < n_col_tiles; ++k) { + Q6_activation_hf_mxmem_RR((unsigned int) p_tile_in, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) v_tile_in, 2047); + p_tile_in += HMX_FP16_TILE_N_ELMS; + v_tile_in += HMX_FP16_TILE_N_ELMS; + } + + __fp16 * o_tile_out = oc_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS; + Q6_mxmem_AR_after_hf(o_tile_out, 0); + } + } + hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev); + } + TIMER_STOP(o_update); + + buf_idx = 1 - buf_idx; + } // end KV block loop (fallback) + } + + // ---- Final normalization: O = diag(1/l) @ O ---- + TIMER_START(o_norm); + { + fa_build_d_diag_inv_l(&factx, n_row_tiles, n_row_tiles_g_br); + + // HMX: O_final = diag(1/l) @ O_prev + if (factx.use_pipeline) { + on_job.o_curr = o_tile_curr; + on_job.o_prev = o_tile_prev; + on_job.d_tiles = factx.vtcm_d_tiles; + on_job.hmx_scales = factx.vtcm_hmx_scales_id; + on_job.n_row_tiles = n_row_tiles; + on_job.n_row_tiles_g_br = n_row_tiles_g_br; + on_job.DV = DV; + hmx_queue_push(ctx->hmx_queue, hmx_queue_make_desc(hmx_fa_o_norm_worker, &on_job)); + hmx_queue_pop(ctx->hmx_queue); + } else { + const size_t DV_tiles = (size_t) (DV / 32); + const __fp16 * restrict d_base = factx.vtcm_d_tiles; + const __fp16 * restrict op_base = o_tile_prev; + __fp16 * restrict oc_base = o_tile_curr; + __builtin_assume(n_row_tiles > 0); + __builtin_assume(DV_tiles > 0); + + Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_id); + for (size_t r = 0; r < n_row_tiles; ++r) { + for (size_t c = 0; c < DV_tiles; ++c) { + const __fp16 * d_diag = d_base + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS; + const __fp16 * o_rc = op_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS; + __fp16 * o_out = oc_base + (r * DV_tiles + c) * HMX_FP16_TILE_N_ELMS; + + Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047); + Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047); + Q6_mxmem_AR_after_hf(o_out, 0); + } + } + } + } + TIMER_STOP(o_norm); + + // ---- Store O block ---- + TIMER_START(o_store); + fa_phase_o_store(&factx, dst, o_tile_curr, q_start, kv_head, ib3, n_rows_g); + TIMER_STOP(o_store); + +#undef MASK_DMA_PUSH +#undef MASK_DMA_POP +#undef DMA_PREFETCH_KV + + } // end Q block loop + } // end KV head loop + } // end batch loop + + if (factx.use_pipeline) { + hmx_queue_suspend(ctx->hmx_queue); + } else { + HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); + } + + TIMER_STOP(total); + +#if defined(ENABLE_PROFILE_TIMERS) + FARF(HIGH, "hmx-fa: %lld us, q_load=%lld kv_dma=%lld k_interleave=%lld v_interleave=%lld", TIMER_US(total), + TIMER_US(q_load), TIMER_US(kv_dma), TIMER_US(k_interleave), TIMER_US(v_interleave)); + FARF(HIGH, " qk_dot=%lld softmax=%lld o_update=%lld o_norm=%lld o_store=%lld", TIMER_US(qk_dot), TIMER_US(softmax), + TIMER_US(o_update), TIMER_US(o_norm), TIMER_US(o_store)); +#endif + + return HTP_STATUS_OK; +} diff --git a/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c index 05e3c6c2b0..e05ccfd5fc 100644 --- a/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c +++ b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c @@ -28,6 +28,8 @@ #include "hmx-queue.h" #include "hmx-profile.h" +#include "vtcm-utils.h" + static const __fp16 q4_0_to_fp16_lut[64] __attribute__((aligned(VLEN))) = { -8, 0, -7, 0, -6, 0, -5, 0, -4, 0, -3, 0, -2, 0, -1, 0, 0, 0, 1, 0, 2, 0, 3, 0, 4, 0, 5, 0, 6, 0, 7, 0, }; @@ -43,40 +45,11 @@ static const __fp16 iq4_nl_to_fp16_lut[64] __attribute__((aligned(VLEN))) = { 1, 0, 13, 0, 25, 0, 38, 0, 53, 0, 69, 0, 89, 0, 113, 0, }; -// vscatter offsets for fused dequant+transpose: write K-values directly to [K][N] tile. -// word[i] = i*128 maps K-row-pair i to byte offset i*128 in the tile. -// Column offset (n*4) is added at runtime. Only entries 0..15 are used (masked by predicate). -static const int32_t weight_transpose_scatter_offsets[32] __attribute__((aligned(VLEN))) = { - 0*128, 1*128, 2*128, 3*128, 4*128, 5*128, 6*128, 7*128, - 8*128, 9*128, 10*128, 11*128, 12*128, 13*128, 14*128, 15*128, - 16*128, 17*128, 18*128, 19*128, 20*128, 21*128, 22*128, 23*128, - 24*128, 25*128, 26*128, 27*128, 28*128, 29*128, 30*128, 31*128 -}; - // Scales per x4x2 logical block: 8 × sizeof(__fp16) = 16 bytes #define HMX_X4X2_SCALES_PER_BLK 8 #define HMX_X4X2_DBLK_SIZE 16 // 8 * 2 bytes (fp16 scales for Q4_0/Q8_0/IQ4_NL) #define HMX_X4X2_MXFP4_EBLK_SIZE 8 // 8 * 1 byte (E8M0 scales for MXFP4) -static inline void swap_ptr(void **p1, void **p2) { - void *t = *p1; - *p1 = *p2; - *p2 = t; -} - -typedef struct { - uint8_t *dst; - const uint8_t *src; - dma_queue *dma; - size_t n_rows; - size_t src_stride; // DDR row stride (full row_stride) - size_t dst_stride; // VTCM sub-block row stride - size_t quant_off; // quant byte offset in each DDR row - size_t quant_width; // quant bytes to copy per row - size_t scale_off; // scale byte offset in each DDR row - size_t scale_width; // scale bytes to copy per row -} qweight_fetch_task_state_t; - // Compute the byte stride of one row in x4x2 format. // Numerically equals ggml_row_size(type, k) when k is 256-aligned, because // x4x2 packing has the same density as block_q4_0 / block_q8_0. @@ -202,57 +175,15 @@ next_nc: return 0; } -// forward declaration – defined after transfer_activation_chunk_fp32_to_fp16 -void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride); - -// Scatter row-major FP16 weight (already in VTCM scratch) directly into transposed [K][N] tiles. -// vtcm_src: [n_cols][k] row-major fp16 in VTCM scratch buffer -// vtcm_dst: [n_col_tiles][n_k_tiles][HMX_FP16_TILE_N_ELMS] tile-major interleaved fp16 -static void interleave_fp16_weight_chunk_to_tiles(__fp16 *restrict vtcm_dst, - const __fp16 *restrict vtcm_src, - int n_cols, int k) { - assert(n_cols % HMX_FP16_TILE_N_COLS == 0); - assert(k % HMX_FP16_TILE_N_COLS == 0); - - const int n_k_tiles = k / HMX_FP16_TILE_N_COLS; - const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets); - const HVX_Vector v_scat_step = Q6_V_vsplat_R(4); - const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64); - - for (int r = 0; r < n_cols; r += 2) { - int ct = r / HMX_FP16_TILE_N_ROWS; // N-dimension tile index - int local_r = r % HMX_FP16_TILE_N_ROWS; // intra-tile row index - const bool next_row_valid = (r + 1) < n_cols; - - // Offset vectors for N-columns local_r and local_r+1, reused across K-tiles. - HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4)); - HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step); - - for (int c = 0; c < k; c += HMX_FP16_TILE_N_COLS) { - int kt = c / HMX_FP16_TILE_N_COLS; - int tile_idx = ct * n_k_tiles + kt; - __fp16 *tile_base = vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS; - - HVX_Vector v0 = hvx_vmemu(vtcm_src + r * k + c); - HVX_Vector v1 = next_row_valid ? hvx_vmemu(vtcm_src + (r + 1) * k + c) : Q6_V_vzero(); - - Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off0, v0); - Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off1, v1); - } - } -} - // --- x4x2 format dequantizers --- // Dequantize one x4x2 Q4_0 group (32 elements from 32 packed bytes) -> 32 FP16 in first 64 bytes. // In x4x2, sub-blocks 0..3 use lower nibbles, sub-blocks 4..7 use upper nibbles // of the same 32 packed bytes. -static inline HVX_Vector dequantize_x4x2_q4_0_group_hvx( - const uint8_t *packed_32, bool upper_nibbles, - const __fp16 *scale, const HVX_Vector vlut_cvt) { +static inline HVX_Vector dequantize_x4x2_q4_0_group_hvx(const uint8_t *packed_32, bool upper_nibbles, const __fp16 *scale, const HVX_Vector vlut_cvt) { HVX_Vector vq = hvx_vmemu(packed_32); const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F); - HVX_Vector v_scales = hvx_vec_splat_f16(*scale); + HVX_Vector v_scales = hvx_vec_repl_f16(hvx_vmemu(scale)); // q4x4x2 stores two int4 values per byte. Keep only the selected nibble. HVX_Vector v_quants = Q6_Vub_vlsr_VubR(vq, 4 * upper_nibbles); v_quants = Q6_V_vand_VV(v_quants, mask_h4); @@ -290,9 +221,10 @@ static inline void dequantize_x4x2_q4_0_x4groups_hvx( HVX_Vector v_hi = Q6_V_hi_W(vp); // [group2: 32 fp16 | group3: 32 fp16] // Build per-group scale vectors: first 64 bytes use scale_a, last 64 use scale_b - HVX_VectorPred q64 = Q6_Q_vsetq_R(64); - HVX_Vector v_sc01 = Q6_V_vmux_QVV(q64, hvx_vec_splat_f16(scales_4[0]), hvx_vec_splat_f16(scales_4[1])); - HVX_Vector v_sc23 = Q6_V_vmux_QVV(q64, hvx_vec_splat_f16(scales_4[2]), hvx_vec_splat_f16(scales_4[3])); + volatile HVX_Vector vscale = hvx_vmemu(scales_4); + + HVX_Vector v_sc01 = hvx_vec_repl_2x_f16(vscale); + HVX_Vector v_sc23 = hvx_vec_repl_2x_f16(Q6_V_vror_VR(vscale, 4)); v_lo = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_lo, v_sc01)); v_hi = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hi, v_sc23)); @@ -303,12 +235,11 @@ static inline void dequantize_x4x2_q4_0_x4groups_hvx( } // Dequantize one x4x2 Q8_0 group (32 int8 quants) -> 32 FP16 in first 64 bytes. -static inline HVX_Vector dequantize_x4x2_q8_0_group_hvx( - const int8_t *quants_32, const __fp16 *scale) { - HVX_Vector vq = hvx_vmemu(quants_32); - HVX_Vector v_scales = hvx_vec_splat_f16(*scale); - HVX_Vector v0 = Q6_V_lo_W(Q6_Wh_vunpack_Vb(vq)); - HVX_Vector v_hf = Q6_Vhf_equals_Vh(v0); +static inline HVX_Vector dequantize_x4x2_q8_0_group_hvx(const int8_t *quants_32, const __fp16 *scale) { + HVX_Vector vq = hvx_vmemu(quants_32); + HVX_Vector v_scales = hvx_vec_repl_f16(hvx_vmemu(scale)); + HVX_Vector v0 = Q6_V_lo_W(Q6_Wh_vunpack_Vb(vq)); + HVX_Vector v_hf = Q6_Vhf_equals_Vh(v0); return Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hf, v_scales)); } @@ -414,8 +345,8 @@ static void dequantize_x4x2_weight_to_fp16_tiles_task( // vscatter setup: write dequantized K-values directly to transposed [K][N] tile positions. // Each int32 element holds a K-row-pair (2 adjacent fp16 values). word[i] at offset i*128 // maps to K-rows 2i and 2i+1. Column offset (n*4) added per row. - const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets); - const HVX_Vector v_scat_step = Q6_V_vsplat_R(4); // 4 bytes = 1 column step + const HVX_Vector v_scat_base = hvx_vmem(hmx_transpose_scatter_offsets); + const HVX_Vector v_scat_step = Q6_V_vsplat_R(4); // 4 bytes = 1 column step const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64); // first 16 words (64 bytes) unsigned ct = (unsigned)start_tile / n_k_tiles; // column tile index @@ -589,12 +520,8 @@ static void dequantize_x4x2_weight_to_fp16_tiles_task( const uint8_t *r0 = vtcm_src + row0 * row_stride; const uint8_t *r1 = vtcm_src + row1 * row_stride; - HVX_Vector v0 = dequantize_x4x2_q8_0_group_hvx( - (const int8_t *)(r0 + byte_off), (const __fp16 *)(r0 + scale_off)); - HVX_Vector v1 = (row1 < n_cols) - ? dequantize_x4x2_q8_0_group_hvx( - (const int8_t *)(r1 + byte_off), (const __fp16 *)(r1 + scale_off)) - : Q6_V_vzero(); + HVX_Vector v0 = dequantize_x4x2_q8_0_group_hvx((const int8_t *)(r0 + byte_off), (const __fp16 *)(r0 + scale_off)); + HVX_Vector v1 = (row1 < n_cols) ? dequantize_x4x2_q8_0_group_hvx((const int8_t *)(r1 + byte_off), (const __fp16 *)(r1 + scale_off)) : Q6_V_vzero(); Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v0); v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step); @@ -658,12 +585,12 @@ static void dequantize_x4x2_weight_chunk_to_fp16_tiles( state.n_tasks = (n_tot_tiles + n_tiles_per_task - 1) / n_tiles_per_task; state.n_tot_tiles = n_tot_tiles; state.n_tiles_per_task = n_tiles_per_task; - state.dst = vtcm_dst; - state.src = (const uint8_t *)vtcm_src; - state.n_cols = n_cols; - state.k_block = k_block; - state.row_stride = row_stride; - state.weight_type = weight_type; + state.dst = vtcm_dst; + state.src = (const uint8_t *)vtcm_src; + state.n_cols = n_cols; + state.k_block = k_block; + state.row_stride = row_stride; + state.weight_type = weight_type; worker_pool_run_func(ctx->worker_pool, dequantize_x4x2_worker_loop, &state, ctx->n_threads); } @@ -733,7 +660,7 @@ static inline void hmx_matmul_job_init(hmx_matmul_job_t * job, job->n_dot_tiles = n_dot_tiles; } -// --- End async HMX matmul job --- +// output : fp16 -> f32p static void transfer_output_chunk_fp16_to_fp32(float *restrict dst, const __fp16 *restrict vtcm_src, int n_rows, int n_cols, int n) { assert(n_cols % HMX_FP16_TILE_N_COLS == 0); @@ -807,421 +734,334 @@ static void transfer_output_chunk_threaded(struct htp_context *ctx, float *dst, worker_pool_run_func(ctx->worker_pool, transfer_output_chunk_worker_fn, &state, ctx->n_threads); } -static inline int hmx_matmul_batch_r2(const hmx_matmul_w16a32_batched_params_t *params) { - return params->ne02 > 0 ? params->ne12 / params->ne02 : 1; -} +// activations : fp32 -> fp16 -static inline int hmx_matmul_batch_r3(const hmx_matmul_w16a32_batched_params_t *params) { - return params->ne03 > 0 ? params->ne13 / params->ne03 : 1; -} +static void transfer_activation_chunk_fp32_to_fp16(__fp16 *restrict vtcm_dst, const float *restrict src, int n_rows, int k_block, int k_stride) { + const int n_rows_padded = hex_align_up(n_rows, HMX_FP16_TILE_N_ROWS); + const int n_rows_tiled = (n_rows / HMX_FP16_TILE_N_ROWS) * HMX_FP16_TILE_N_ROWS; -static inline const __fp16 *hmx_matmul_weight_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, - int dst_b2, int dst_b3) { - const int r2 = hmx_matmul_batch_r2(params); - const int r3 = hmx_matmul_batch_r3(params); - return (const __fp16 *) ((const uint8_t *) params->permuted_weight + - (size_t) (dst_b2 / r2) * params->src0_nb2 + - (size_t) (dst_b3 / r3) * params->src0_nb3); -} + int r = 0; -static inline const float *hmx_matmul_activation_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, - int dst_b2, int dst_b3) { - return (const float *) ((const uint8_t *) params->activation + - (size_t) dst_b2 * params->src1_nb2 + - (size_t) dst_b3 * params->src1_nb3); -} + #pragma unroll(2) + for (r = 0; r < n_rows_tiled; r += 2) { + int r0 = r / HMX_FP16_TILE_N_ROWS; // tile row index + int r1 = r % HMX_FP16_TILE_N_ROWS; // intra-tile row idx -static inline float *hmx_matmul_dst_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, - int dst_b2, int dst_b3) { - return (float *) ((uint8_t *) params->dst + - (size_t) dst_b2 * params->dst_nb2 + - (size_t) dst_b3 * params->dst_nb3); -} + const HVX_Vector *pv_in0 = (const HVX_Vector *) (src + (r + 0) * k_stride); + const HVX_Vector *pv_in1 = (const HVX_Vector *) (src + (r + 1) * k_stride); + for (int c = 0; c < k_block; c += 32) { + HVX_Vector v0 = *pv_in0++; + HVX_Vector v1 = *pv_in1++; -static int hmx_mat_mul_permuted_w16a32_batched_legacy(struct htp_context *ctx, - const hmx_matmul_w16a32_batched_params_t *params) { - int ret = 0; - for (int b3 = 0; b3 < params->ne13 && ret == 0; ++b3) { - for (int b2 = 0; b2 < params->ne12 && ret == 0; ++b2) { - ret = hmx_mat_mul_permuted_w16a32(ctx, - hmx_matmul_dst_batch_ptr(params, b2, b3), - hmx_matmul_activation_batch_ptr(params, b2, b3), - hmx_matmul_weight_batch_ptr(params, b2, b3), - params->m, params->k, params->n, - params->act_stride, params->weight_stride); + HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1); + + // compute output position + int c0 = c / HMX_FP16_TILE_N_COLS; // tile column index + int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0; + + HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS); + tile[r1 / 2] = v_out; + } + } + + for (; r < n_rows_padded; r += 2) { + int r0 = r / HMX_FP16_TILE_N_ROWS; // tile row index + int r1 = r % HMX_FP16_TILE_N_ROWS; // intra-tile row idx + + const bool row0_valid = r < n_rows; + const bool row1_valid = (r + 1) < n_rows; + + const HVX_Vector *pv_in0 = row0_valid ? (const HVX_Vector *) (src + (r + 0) * k_stride) : NULL; + const HVX_Vector *pv_in1 = row1_valid ? (const HVX_Vector *) (src + (r + 1) * k_stride) : NULL; + for (int c = 0; c < k_block; c += 32) { + HVX_Vector v0 = row0_valid ? *pv_in0++ : Q6_V_vzero(); + HVX_Vector v1 = row1_valid ? *pv_in1++ : Q6_V_vzero(); + + HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1); + + // compute output position + int c0 = c / HMX_FP16_TILE_N_COLS; // tile column index + int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0; + + HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS); + tile[r1 / 2] = v_out; } } - return ret; } -int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx, const hmx_matmul_w16a32_batched_params_t *params) { - if (!ctx || !params || !params->dst || !params->activation || !params->permuted_weight) { return -1; } - if (!params->m || !params->k || !params->n) { return -1; } - if (params->act_stride < params->k || params->weight_stride < params->k || params->dst_stride < params->n) { return -1; } - if (params->ne02 <= 0 || params->ne03 <= 0 || params->ne12 <= 0 || params->ne13 <= 0) { return -1; } - if (params->ne12 % params->ne02 != 0 || params->ne13 % params->ne03 != 0) { return -1; } - if (params->k % 32 != 0 || params->n % 32 != 0) { return -1; } +typedef struct { + __fp16 *dst; + const float *src; + int n_tasks; + int n_tot_chunks; + int n_chunks_per_task; + int k_block; + int k_stride; +} activation_transfer_task_state_t; - if (!hex_is_aligned(params->dst, VLEN) || - !hex_is_aligned(params->activation, VLEN) || - !hex_is_aligned(params->permuted_weight, VLEN)) { +static void transfer_activation_chunk_worker_fn(unsigned int n, unsigned int i, void *data) { + activation_transfer_task_state_t *st = (activation_transfer_task_state_t *) data; + + for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) { + // one chunk: one row + int chunk_idx = task_id * st->n_chunks_per_task; + size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task); + + __fp16 *dst = st->dst + chunk_idx * st->k_block; + const float *src = st->src + chunk_idx * st->k_stride; + transfer_activation_chunk_fp32_to_fp16(dst, src, chunk_size, st->k_block, st->k_stride); + } +} + +static void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride) { + assert(k_block % HMX_FP16_TILE_N_COLS == 0 && k_stride % HMX_FP16_TILE_N_COLS == 0); + assert(VLEN == 32 * sizeof(float)); + + size_t n_tot_chunks = n_rows; + size_t n_chunks_per_task = 32; // must be multiple of 32 to ensure correct destination address + + activation_transfer_task_state_t state; + state.n_tasks = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task; + state.n_tot_chunks = n_tot_chunks; + state.n_chunks_per_task = n_chunks_per_task; + state.dst = dst; + state.src = src; + state.k_block = k_block; + state.k_stride = k_stride; + + worker_pool_run_func(ctx->worker_pool, transfer_activation_chunk_worker_fn, &state, ctx->n_threads); +} + +// + +#define FALLBACK_TO_STANDARD 1 + +// C += AB +static void core_mma_chunk_fp16(__fp16 *restrict c, const __fp16 *restrict a, const __fp16 *restrict b, + const __fp16 *restrict col_scales, const __fp16 *restrict eye_tile, + int n_row_tiles, int n_col_tiles, int n_dot_tiles, bool zero_init) { + __builtin_assume(n_row_tiles > 0); + __builtin_assume(n_col_tiles > 0); + __builtin_assume(n_dot_tiles > 0); + + Q6_bias_mxmem2_A((void *)col_scales); + + const size_t dot_tile_stride = n_dot_tiles * HMX_FP16_TILE_N_ELMS; + for (size_t i = 0; i < n_row_tiles; ++i) { + const __fp16 *row_base = a + i * dot_tile_stride; + __fp16 *res_base = c + i * n_col_tiles * HMX_FP16_TILE_N_ELMS; + for (size_t j = 0; j < n_col_tiles; ++j) { + Q6_mxclracc_hf(); + + const __fp16 *col_tiles = b + j * dot_tile_stride; + const __fp16 *row_tiles = row_base; + __fp16 *accum_tile = res_base + j * HMX_FP16_TILE_N_ELMS; + if (!zero_init) { + Q6_activation_hf_mxmem_RR((unsigned int)accum_tile, 2047); + Q6_weight_hf_mxmem_RR((unsigned int)eye_tile, 2047); + } + + for (int k = 0; k < n_dot_tiles; ++k) { + Q6_activation_hf_mxmem_RR((unsigned int)row_tiles, 2047); + Q6_weight_hf_mxmem_RR((unsigned int)col_tiles, 2047); + row_tiles += HMX_FP16_TILE_N_ELMS; + col_tiles += HMX_FP16_TILE_N_ELMS; + } + Q6_mxmem_AR_after_hf(accum_tile, 0); + } + } +} + +static __attribute__((noinline)) int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, + float *restrict out, const float *restrict x, const uint8_t *restrict w, + int m, int k, int n, int weight_type) { + // assume k % 32 == 0 && n % 32 == 0 + const size_t row_stride = get_x4x2_row_stride(weight_type, k); + if (row_stride == 0) { return -1; } - const int group_size = hmx_matmul_batch_r2(params); + const size_t vtcm_budget = ctx->vtcm_size; - if (group_size <= 1) { - FARF(MEDIUM, "%s: no dim2 GQA reuse (group=%d), using legacy batched loop", __func__, group_size); - return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); + const size_t K_BLOCK_SIZE = 1024; + + // Fallback: if k doesn't need K-blocking, out-stationary has no advantage + const size_t k_iters_check = (k + K_BLOCK_SIZE - 1) / K_BLOCK_SIZE; + if (k_iters_check <= 1) { + FARF(HIGH, "%s: K_BLK=%zu >= k=%d, fallback to standard path", __func__, K_BLOCK_SIZE, k); + return FALLBACK_TO_STANDARD; } - // Grouped path: reuse interleaved weight across all q_heads sharing a - // kv_head. Each q_head gets its own activation buffer in VTCM (so - // activation is loaded once per m_chunk and reused across all n_chunks), - // and each q_head is computed individually to avoid tile-major packing - // issues. m_chunk_n_rows is always a multiple of 32 (from - // hmx_compute_chunks), so per-head tile arrays don't overlap. - const size_t vtcm_budget = ctx->vtcm_size; - const size_t vec_dot_size = params->k * sizeof(__fp16); + // Dynamic M,N search via hmx_compute_chunks + const size_t sub_row_stride_alloc = get_x4x2_row_stride(weight_type, K_BLOCK_SIZE); + const size_t per_m = K_BLOCK_SIZE * sizeof(float) // scratch1: M×K×4 (act DMA staging F32) + + K_BLOCK_SIZE * sizeof(__fp16); // activation: M×K×2 (F16 tiles) + const size_t per_n = sub_row_stride_alloc // scratch0: N×sub_row(K) (packed quant) + + K_BLOCK_SIZE * sizeof(__fp16); // weight: N×K×2 (F16 tiles) + const size_t per_mn = sizeof(__fp16); // output: M×N×2 (out-stationary) - // When the activation has a large stride (e.g. permuted Q tensor with - // act_stride >> k), HVX vector loads from strided DDR thrash L2 cache. - // Allocate an F32 scratch buffer in VTCM and use 2D DMA to gather - // strided rows into a contiguous block before the F32->F16 conversion. - const bool use_dma_activation = (params->act_stride > params->k); - const size_t f32_scratch_per_m = use_dma_activation ? (size_t) params->k * sizeof(float) : 0; + // Alignment margin: hex_align_up can add up to 2047 bytes per buffer; + // scratch1 (mc×6144) is naturally 2048-aligned, remaining 4 buffers need margin + const size_t align_margin = 4 * HMX_FP16_TILE_SIZE; + const size_t overhead = HMX_FP16_TILE_SIZE + 256 + align_margin; // eye_tile + scales + alignment - size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; - // FP16 weight: interleave and activation load have similar per-element cost. - if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, - /*per_n=*/3 * vec_dot_size, - /*per_m=*/group_size * vec_dot_size + f32_scratch_per_m, - /*per_mn=*/sizeof(__fp16), params->m, params->n, - /*m_block_cost=*/(size_t) params->n, - /*n_block_cost=*/(size_t) params->m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { - FARF(HIGH, "%s: grouped path does not fit VTCM, falling back to legacy batched loop", __func__); - return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); - } - - const size_t act_head_stride = m_chunk_n_rows * (size_t) params->k; // fp16 elements between heads - const size_t weight_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); - const size_t activation_area_size = hex_align_up(group_size * m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE); - const size_t output_area_size = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE); - const size_t scratch_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); - const size_t f32_scratch_size = use_dma_activation - ? hex_align_up(m_chunk_n_rows * (size_t) params->k * sizeof(float), HMX_FP16_TILE_SIZE) : 0; - - uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; - __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size); - __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size); - __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size); - void *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); - void *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); - __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); - float *vtcm_f32_act = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL; - - if ((size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base) > vtcm_budget) { - FARF(HIGH, "%s: grouped layout overflowed VTCM, falling back to legacy batched loop", __func__); - return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); - } - - hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // scale: 1.0, bias: 0.0 in FP16 - - FARF(MEDIUM, "%s: grouped path m=%d k=%d n=%d group=%d streams=%d mc=%zu nc=%zu vtcm=%zu/%zu", - __func__, params->m, params->k, params->n, group_size, params->ne13, - m_chunk_n_rows, n_chunk_n_cols, - (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget); - - TIMER_DEFINE(activation_load); - TIMER_DEFINE(weight_load); - TIMER_DEFINE(hmx_core); - TIMER_DEFINE(output_store); - TIMER_DEFINE(total); - - TIMER_START(total); - - const size_t fp16_row_bytes = (size_t) params->k * sizeof(__fp16); - const size_t weight_row_bytes = (size_t) params->weight_stride * sizeof(__fp16); - - HAP_compute_res_hmx_lock(ctx->vtcm_rctx); - - for (int b3 = 0; b3 < params->ne13; ++b3) { - for (int b2_base = 0; b2_base < params->ne12; b2_base += group_size) { - const __fp16 *weight_group = hmx_matmul_weight_batch_ptr(params, b2_base, b3); - - for (size_t mr = 0; mr < (size_t) params->m; mr += m_chunk_n_rows) { - const size_t n_rows = hex_smin((size_t) params->m - mr, m_chunk_n_rows); - const size_t n_row_tiles = hmx_ceil_div((int) n_rows, HMX_FP16_TILE_N_ROWS); - - // Pre-load activations for all heads in the group (once per m_chunk). - // When the source is strided (permuted Q), use 2D DMA to gather - // contiguous rows into a VTCM scratch buffer first, then HVX - // converts from the contiguous VTCM buffer. This avoids L2 cache - // thrashing from HVX loads at large strides. - TIMER_START(activation_load); - for (int g = 0; g < group_size; ++g) { - const float *activation_chunk = hmx_matmul_activation_batch_ptr(params, b2_base + g, b3) + mr * params->act_stride; - __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride; - if (use_dma_activation) { - const size_t row_bytes = (size_t) params->k * sizeof(float); - const size_t stride_bytes = (size_t) params->act_stride * sizeof(float); - dma_queue_push(ctx->dma[0], - dma_make_ptr(vtcm_f32_act, activation_chunk), - row_bytes, stride_bytes, row_bytes, n_rows); - dma_queue_pop(ctx->dma[0]); - transfer_activation_chunk_threaded(ctx, vtcm_act_g, - vtcm_f32_act, (int) n_rows, - params->k, params->k); - } else { - transfer_activation_chunk_threaded(ctx, vtcm_act_g, - activation_chunk, (int) n_rows, - params->k, params->act_stride); - } - } - TIMER_STOP(activation_load); - - void *buf_curr = vtcm_scratch0; - void *buf_next = vtcm_scratch1; - - { - const size_t n_cols_first = hex_smin((size_t) params->n, n_chunk_n_cols); - dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, weight_group), - fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first); - } - - for (size_t nc = 0; nc < (size_t) params->n; nc += n_chunk_n_cols) { - const size_t n_cols = hex_smin((size_t) params->n - nc, n_chunk_n_cols); - const size_t n_col_tiles = hmx_ceil_div((int) n_cols, HMX_FP16_TILE_N_COLS); - - TIMER_START(weight_load); - { - dma_queue_pop(ctx->dma[0]); - - const size_t nc_next = nc + n_chunk_n_cols; - if (nc_next < (size_t) params->n) { - const size_t n_cols_next = hex_smin((size_t) params->n - nc_next, n_chunk_n_cols); - const __fp16 *next_weight_chunk = weight_group + nc_next * params->weight_stride; - - dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), - fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next); - } - - interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, params->k); - swap_ptr(&buf_curr, &buf_next); - } - TIMER_STOP(weight_load); - - // Reuse the interleaved weight for every q_head in this GQA group - for (int g = 0; g < group_size; ++g) { - TIMER_START(hmx_core); - { - const __fp16 * vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride; - core_dot_chunk_fp16(vtcm_output, vtcm_act_g, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, - params->k / 32); - } - TIMER_STOP(hmx_core); - - TIMER_START(output_store); - { - float *output = hmx_matmul_dst_batch_ptr(params, b2_base + g, b3) + mr * params->dst_stride + nc; - transfer_output_chunk_threaded(ctx, output, vtcm_output, (int) n_rows, (int) n_cols, params->dst_stride); - } - TIMER_STOP(output_store); - } - } - } - } - } - - HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); - - TIMER_STOP(total); - -#if defined(ENABLE_PROFILE_TIMERS) - FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d group=%d", __func__, TIMER_US(total), - params->m, params->k, params->n, group_size); - FARF(HIGH, " activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us", - TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store)); -#endif - - return 0; -} - -int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation, - const __fp16 *restrict permuted_weight, int m, int k, int n, - int act_stride, int weight_stride) { - if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; } - if (act_stride < k || weight_stride < k) { return -1; } - if (k % 32 != 0 || n % 32 != 0) { return -1; } - - if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) { - return -1; - } - - // --- Dynamic VTCM layout --- - const size_t vtcm_budget = ctx->vtcm_size; - const size_t vec_dot_size = k * sizeof(__fp16); - - // DMA-based activation gather for strided tensors (see batched path comment). - const bool use_dma_activation = (act_stride > k); - const size_t f32_scratch_per_m = use_dma_activation ? (size_t) k * sizeof(float) : 0; - - size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; - // FP16 weight: interleave and activation load have similar per-element cost. - if (hmx_compute_chunks(vtcm_budget, - /*overhead=*/256, - /*per_n=*/3 * vec_dot_size, // W + S0 + S1 - /*per_m=*/vec_dot_size + f32_scratch_per_m, // A + optional F32 scratch - /*per_mn=*/sizeof(__fp16), // O - m, n, - /*m_block_cost=*/(size_t) n, - /*n_block_cost=*/(size_t) m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { + size_t M_BLOCK_SIZE, N_BLOCK_SIZE, vtcm_used; + // Cost-based search: minimize ceil(m/mc)*m_block_cost + ceil(n/nc)*n_block_cost. + // From profiling: wt_dequant per element ≈ 1.5× activation load per element. + // m_block_cost = n*3: each extra M-block re-dequants all N×K weight (expensive). + // n_block_cost = m*2: each extra N-block re-loads all M×K activation (cheaper). + const size_t m_block_cost = (size_t) n * 3; + const size_t n_block_cost = (size_t) m * 2; + if (hmx_compute_chunks(vtcm_budget, overhead, per_n, per_m, per_mn, + hex_align_up(m, HMX_FP16_TILE_N_ROWS), n, + m_block_cost, n_block_cost, &M_BLOCK_SIZE, + &N_BLOCK_SIZE, &vtcm_used) != 0) { FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget); return -1; } - const size_t weight_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); - const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE); - const size_t output_area_size = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE); - const size_t scratch_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); - const size_t f32_scratch_size = use_dma_activation - ? hex_align_up(m_chunk_n_rows * (size_t) k * sizeof(float), HMX_FP16_TILE_SIZE) : 0; + // Compute precise buffer sizes from searched M,N and fixed K + const size_t weight_size = hex_align_up(N_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t act_size = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t out_size = hex_align_up(M_BLOCK_SIZE * N_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t scratch0_sz = hex_align_up(N_BLOCK_SIZE * sub_row_stride_alloc, HMX_FP16_TILE_SIZE); + const size_t scratch1_sz = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(float), HMX_FP16_TILE_SIZE); - // VTCM layout: weight | activation | output | scratch0 | scratch1 | scales | [f32_scratch] - uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; - __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size); - __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size); - __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size); - void *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); - void *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); - __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); - float *vtcm_f32_act = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL; - if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) { - FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__, - (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + const size_t total_vtcm = weight_size + act_size + out_size + scratch0_sz + scratch1_sz + HMX_FP16_TILE_SIZE + 256; + if (total_vtcm > vtcm_budget) { + FARF(HIGH, "%s: VTCM overflow after search: need %zu have %zu (M=%zu N=%zu K=%zu)", __func__, total_vtcm, + vtcm_budget, M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE); return -1; } + uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; + __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_size); + __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, act_size); + __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, out_size); + uint8_t *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch0_sz); + uint8_t *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch1_sz); + __fp16 *vtcm_eye_tile = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, HMX_FP16_TILE_SIZE); + __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); + assert((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) <= vtcm_budget); + + FARF(HIGH, "hmx-mm: m=%d k=%d n=%d wtype=%d block M=%zu N=%zu K=%zu vtcm=%zu/%zu", m, k, n, weight_type, + M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE, (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget); + + // initialize eye tile (32x32 identity matrix) + { + HVX_Vector v; + v = Q6_V_vzero(); + v = Q6_Vw_vinsert_VwR(v, 0x3c000000); + v = Q6_V_vror_VR(v, VLEN - 4); + v = Q6_Vw_vinsert_VwR(v, 0x00003c00); + for (int i = 0; i < 16; ++i) { + ((HVX_Vector *) vtcm_eye_tile)[i] = v; + v = Q6_V_vror_VR(v, VLEN - 8); + } + } hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // scale: 1.0, bias: 0.0 in FP16 - FARF(MEDIUM, "%s: m=%d k=%d n=%d mc=%zu nc=%zu vtcm=%zu/%zu", - __func__, m, k, n, m_chunk_n_rows, n_chunk_n_cols, - (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); - - TIMER_DEFINE(activation_load); - TIMER_DEFINE(weight_load); - TIMER_DEFINE(hmx_core); - TIMER_DEFINE(output_store); - - TIMER_DEFINE(total); - TIMER_START(total); + TIMER_DEFINE(fetch); + TIMER_DEFINE(act_load); + TIMER_DEFINE(wt_dequant); + TIMER_DEFINE(core); HAP_compute_res_hmx_lock(ctx->vtcm_rctx); - for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) { - // transfer activation matrix chunk into VTCM - const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows); - const size_t n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS); + for (size_t mr = 0; mr < m; mr += M_BLOCK_SIZE) { + size_t m_blk_sz = hex_smin(m - mr, M_BLOCK_SIZE); + for (size_t nc = 0; nc < n; nc += N_BLOCK_SIZE) { + size_t n_blk_sz = hex_smin(n - nc, N_BLOCK_SIZE); - TIMER_START(activation_load); - { - const float *activation_chunk = activation + mr * act_stride; - if (use_dma_activation) { - const size_t row_bytes = (size_t) k * sizeof(float); - const size_t stride_bytes = (size_t) act_stride * sizeof(float); - dma_queue_push(ctx->dma[0], - dma_make_ptr(vtcm_f32_act, activation_chunk), - row_bytes, stride_bytes, row_bytes, n_rows); - dma_queue_pop(ctx->dma[0]); - transfer_activation_chunk_threaded(ctx, vtcm_activation, - vtcm_f32_act, n_rows, k, k); - } else { - transfer_activation_chunk_threaded(ctx, vtcm_activation, - activation_chunk, n_rows, k, act_stride); - } - } - TIMER_STOP(activation_load); + const int n_row_tiles = hmx_ceil_div(m_blk_sz, HMX_FP16_TILE_N_ROWS); + const int n_col_tiles = hmx_ceil_div(n_blk_sz, HMX_FP16_TILE_N_COLS); - const size_t fp16_row_bytes = (size_t) k * sizeof(__fp16); - const size_t weight_row_bytes = (size_t) weight_stride * sizeof(__fp16); + for (size_t kk = 0; kk < k; kk += K_BLOCK_SIZE) { + const size_t k_blk_sz = hex_smin(k - kk, K_BLOCK_SIZE); - void *buf_curr = vtcm_scratch0; - void *buf_next = vtcm_scratch1; + TIMER_START(fetch); + // fetch activation block into VTCM + { + const float *activation_block = x + mr * k + kk; - // issue async DMA for the first weight chunk - // NOTE: use 2D DMA (n_cols rows x fp16_row_bytes) to avoid 16-bit roiwidth overflow. - // The source rows can be strided (e.g. KV-cache K after ggml_permute). - { - const size_t n_cols_first = hex_smin(n, n_chunk_n_cols); - - dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight), - fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first); - } - - for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) { - const size_t n_cols = hex_smin(n - nc, n_chunk_n_cols); - const size_t n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS); - - TIMER_START(weight_load); - { - dma_queue_pop(ctx->dma[0]); // wait until current weight chunk is ready - - // issue async DMA for the next weight chunk (double buffering) - const size_t nc_next = nc + n_chunk_n_cols; - if (nc_next < n) { - const size_t n_cols_next = hex_smin(n - nc_next, n_chunk_n_cols); - const __fp16 *next_weight_chunk = permuted_weight + nc_next * weight_stride; - - dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), - fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next); + dma_queue_push(ctx->dma[0], + dma_make_ptr(vtcm_scratch1, activation_block), + k_blk_sz * sizeof(float), + k * sizeof(float), + k_blk_sz * sizeof(float), + m_blk_sz); } - // interleave row-major fp16 from scratch into tile-major in vtcm_weight - interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *)buf_curr, n_cols, k); + // fetch weight block into VTCM (x4x2 sub-block: quants + scales) + const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz); + { + const int blk_start = kk / QK_Q4_0x4x2; + const int nb_sub = (k_blk_sz + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2; + const int full_qrow = (weight_type == HTP_TYPE_Q8_0) ? k : (k / 2); + const int scale_blk_size = (weight_type == HTP_TYPE_MXFP4) ? HMX_X4X2_MXFP4_EBLK_SIZE : HMX_X4X2_DBLK_SIZE; + uint8_t *dst = vtcm_scratch0; + const uint8_t *src = w + nc * row_stride; + const size_t n_rows = n_blk_sz; + const size_t src_stride = row_stride; + const size_t dst_stride = sub_row_stride; + const size_t quant_off = (weight_type == HTP_TYPE_Q8_0) ? (blk_start * QK_Q8_0x4x2) : (blk_start * (QK_Q4_0x4x2 / 2)); + const size_t quant_width = (weight_type == HTP_TYPE_Q8_0) ? (nb_sub * QK_Q8_0x4x2) : (nb_sub * (QK_Q4_0x4x2 / 2)); + const size_t scale_off = full_qrow + blk_start * scale_blk_size; + const size_t scale_width = nb_sub * scale_blk_size; - swap_ptr(&buf_curr, &buf_next); + // 2D DMA: quants sub-range + dma_queue_push(ctx->dma[0], dma_make_ptr(dst, src + quant_off), dst_stride, src_stride, quant_width, n_rows); + // 2D DMA: scales sub-range + dma_queue_push(ctx->dma[0], dma_make_ptr(dst + quant_width, src + scale_off), dst_stride, src_stride, scale_width, n_rows); + } + TIMER_STOP(fetch); + + TIMER_START(act_load); + // load activation block + { + dma_queue_pop(ctx->dma[0]); // wait for act DNA + transfer_activation_chunk_threaded(ctx, vtcm_activation, (float *) vtcm_scratch1, m_blk_sz, k_blk_sz, k_blk_sz); + } + TIMER_STOP(act_load); + + TIMER_START(wt_dequant); + // dequantize weight block + { + dma_queue_pop(ctx->dma[0]); + dma_queue_pop(ctx->dma[0]); + // vtcm_scratch0 is used to store the qweight chunk + // worker_pool_run_func already returned, so fetch is done + dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, vtcm_scratch0, + n_blk_sz, k_blk_sz, sub_row_stride, weight_type); + } + TIMER_STOP(wt_dequant); + + // core mma + TIMER_START(core); + { + core_mma_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, vtcm_eye_tile, n_row_tiles, + n_col_tiles, k_blk_sz / HMX_FP16_TILE_N_COLS, kk == 0); + } + TIMER_STOP(core); } - TIMER_STOP(weight_load); - TIMER_START(hmx_core); + // store output block { - core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32); + float *output_block = out + (mr * n + nc); + transfer_output_chunk_threaded(ctx, output_block, vtcm_output, m_blk_sz, n_blk_sz, n); } - TIMER_STOP(hmx_core); - - TIMER_START(output_store); - { - float *output = dst + (mr * n + nc); - transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n); - } - TIMER_STOP(output_store); } - } HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); - TIMER_STOP(total); - #if defined(ENABLE_PROFILE_TIMERS) - FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d", __func__, TIMER_US(total), m, k, n); - FARF(HIGH, " activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us", - TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store)); - { - size_t weight_size = (size_t)k * n * sizeof(__fp16); - float bandwidth = 1e-3f * weight_size / (float)TIMER_US(weight_load); - FARF(HIGH, " weight load bandwidth: %.2f GB/s", bandwidth); - } + FARF(HIGH, "fetch: %lld us, act_load: %lld us, wt_dequant: %lld us, core: %lld us", + TIMER_US(fetch), TIMER_US(act_load), TIMER_US(wt_dequant), TIMER_US(core)); #endif - return 0; } -int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w, int m, - int k, int n, int w_type); - -#define FALLBACK_TO_STANDARD 1 - int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation, const uint8_t *restrict permuted_weight, int m, int k, int n, int weight_type) { @@ -1238,7 +1078,7 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds if (rc != FALLBACK_TO_STANDARD) { return rc; // 0 success, -1 error } - FARF(MEDIUM, "hmx_matmul_qk: out-stationary fallback to standard m=%d k=%d n=%d", m, k, n); + FARF(HIGH, "hmx_matmul_qk: out-stationary fallback to standard m=%d k=%d n=%d", m, k, n); // fall through to standard path } @@ -1247,31 +1087,48 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds return -1; } - FARF(MEDIUM, "hmx_matmul_qk: STANDARD path m=%d k=%d n=%d type=%d", m, k, n, weight_type); + FARF(HIGH, "hmx_matmul_qk: STANDARD path m=%d k=%d n=%d type=%d", m, k, n, weight_type); // --- Dynamic VTCM layout --- const size_t vtcm_budget = ctx->vtcm_size; const size_t vec_dot_size = k * sizeof(__fp16); - const bool use_pipeline = (m >= 128) && (k <= n); - // Select cost parameters based on execution path - size_t per_n_cost, per_mn_cost; - if (use_pipeline) { - per_n_cost = row_stride + 2 * vec_dot_size; // Q + S0 + S1 (dequant bufs) - per_mn_cost = 2 * sizeof(__fp16); // O x 2 (output double buffer) - } else { - per_n_cost = vec_dot_size + 2 * row_stride; // W + S0 + S1 (x4x2 DMA bufs) - per_mn_cost = sizeof(__fp16); // O x 1 - } + // Pipeline = 4-stage DMA→dequant→HMX→store with HMX worker overlap. + // Only pays off when the chunker yields >=2 n-chunks, so the main loop can + // overlap HMX (C) with HVX (B/D); with a single n-chunk the extra VTCM for + // double-buffered output and the worker-dispatch overhead are pure loss. + // Try pipeline costs first; fall back to sequential if the layout collapses + // to one n-chunk. m >= 128 floor keeps HMX utilization reasonable. + const size_t pipe_per_n = row_stride + 2 * vec_dot_size; // Q + S0 + S1 (dequant bufs) + const size_t pipe_per_mn = 2 * sizeof(__fp16); // O x 2 (output double buffer) + const size_t seq_per_n = vec_dot_size + 2 * row_stride; // W + S0 + S1 (x4x2 DMA bufs) + const size_t seq_per_mn = sizeof(__fp16); // O x 1 size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; - // Quantized weight: dequant ~1.5x more expensive per element than activation load. - if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, per_n_cost, /*per_m=*/vec_dot_size, per_mn_cost, m, n, - /*m_block_cost=*/(size_t) n * 3, - /*n_block_cost=*/(size_t) m * 2, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { - FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d pipe=%d budget=%zu)", - __func__, m, k, n, use_pipeline, vtcm_budget); - return -1; + bool use_pipeline = false; + + if (m >= 128) { + size_t mc = 0, nc = 0, used = 0; + if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, pipe_per_n, /*per_m=*/vec_dot_size, pipe_per_mn, + hex_align_up(m, HMX_FP16_TILE_N_ROWS), n, + /*m_block_cost=*/(size_t) n * 3, + /*n_block_cost=*/(size_t) m * 2, &mc, &nc, &used) == 0 && + hmx_ceil_div((size_t) n, nc) >= 2) { + m_chunk_n_rows = mc; + n_chunk_n_cols = nc; + vtcm_used = used; + use_pipeline = true; + } + } + + if (!use_pipeline) { + if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, seq_per_n, /*per_m=*/vec_dot_size, seq_per_mn, + hex_align_up(m, HMX_FP16_TILE_N_ROWS), n, + /*m_block_cost=*/(size_t) n * 3, + /*n_block_cost=*/(size_t) m * 2, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { + FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget); + return -1; + } } // Compute precise buffer sizes per execution path @@ -1308,7 +1165,7 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // scale: 1.0, bias: 0.0 in FP16 - FARF(MEDIUM, "%s: m=%d k=%d n=%d wtype=%d pipe=%d mc=%zu nc=%zu vtcm=%zu/%zu", + FARF(HIGH, "%s: m=%d k=%d n=%d wtype=%d pipe=%d mc=%zu nc=%zu vtcm=%zu/%zu", __func__, m, k, n, weight_type, use_pipeline, m_chunk_n_rows, n_chunk_n_cols, (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); @@ -1321,7 +1178,7 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds TIMER_DEFINE(total); TIMER_START(total); - FARF(MEDIUM, "hmx_matmul_qk: %s mc=%zu nc=%zu vtcm=%zu/%zu", + FARF(HIGH, "hmx_matmul_qk: %s mc=%zu nc=%zu vtcm=%zu/%zu", use_pipeline ? "PIPELINE" : "SEQUENTIAL", m_chunk_n_rows, n_chunk_n_cols, (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); @@ -1368,7 +1225,7 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds // HMX computes C = A x B, where A=[M,K] activation, B=[K,N] weight. dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, buf_curr, n_cols, k, row_stride, weight_type); - swap_ptr(&buf_curr, &buf_next); + hex_swap_ptr(&buf_curr, &buf_next); } TIMER_STOP(weight_load); @@ -1511,300 +1368,418 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds return 0; } -// C += AB -void core_mma_chunk_fp16(__fp16 *restrict c, const __fp16 *restrict a, const __fp16 *restrict b, const __fp16 *restrict col_scales, const __fp16 *restrict eye_tile, - int n_row_tiles, int n_col_tiles, int n_dot_tiles, bool zero_init) { - __builtin_assume(n_row_tiles > 0); - __builtin_assume(n_col_tiles > 0); - __builtin_assume(n_dot_tiles > 0); +// - Q6_bias_mxmem2_A((void *)col_scales); +static inline int hmx_matmul_batch_r2(const hmx_matmul_w16a32_batched_params_t *params) { + return params->ne02 > 0 ? params->ne12 / params->ne02 : 1; +} - const size_t dot_tile_stride = n_dot_tiles * HMX_FP16_TILE_N_ELMS; - for (size_t i = 0; i < n_row_tiles; ++i) { - const __fp16 *row_base = a + i * dot_tile_stride; - __fp16 *res_base = c + i * n_col_tiles * HMX_FP16_TILE_N_ELMS; - for (size_t j = 0; j < n_col_tiles; ++j) { - Q6_mxclracc_hf(); +static inline int hmx_matmul_batch_r3(const hmx_matmul_w16a32_batched_params_t *params) { + return params->ne03 > 0 ? params->ne13 / params->ne03 : 1; +} - const __fp16 *col_tiles = b + j * dot_tile_stride; - const __fp16 *row_tiles = row_base; - __fp16 *accum_tile = res_base + j * HMX_FP16_TILE_N_ELMS; - if (!zero_init) { - Q6_activation_hf_mxmem_RR((unsigned int)accum_tile, 2047); - Q6_weight_hf_mxmem_RR((unsigned int)eye_tile, 2047); - } +static inline const __fp16 *hmx_matmul_weight_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, + int dst_b2, int dst_b3) { + const int r2 = hmx_matmul_batch_r2(params); + const int r3 = hmx_matmul_batch_r3(params); + return (const __fp16 *) ((const uint8_t *) params->permuted_weight + + (size_t) (dst_b2 / r2) * params->src0_nb2 + + (size_t) (dst_b3 / r3) * params->src0_nb3); +} - for (int k = 0; k < n_dot_tiles; ++k) { - Q6_activation_hf_mxmem_RR((unsigned int)row_tiles, 2047); - Q6_weight_hf_mxmem_RR((unsigned int)col_tiles, 2047); - row_tiles += HMX_FP16_TILE_N_ELMS; - col_tiles += HMX_FP16_TILE_N_ELMS; - } - Q6_mxmem_AR_after_hf(accum_tile, 0); +static inline const float *hmx_matmul_activation_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, + int dst_b2, int dst_b3) { + return (const float *) ((const uint8_t *) params->activation + + (size_t) dst_b2 * params->src1_nb2 + + (size_t) dst_b3 * params->src1_nb3); +} + +static inline float *hmx_matmul_dst_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, + int dst_b2, int dst_b3) { + return (float *) ((uint8_t *) params->dst + + (size_t) dst_b2 * params->dst_nb2 + + (size_t) dst_b3 * params->dst_nb3); +} + +static int hmx_mat_mul_permuted_w16a32_batched_legacy(struct htp_context *ctx, + const hmx_matmul_w16a32_batched_params_t *params) { + int ret = 0; + for (int b3 = 0; b3 < params->ne13 && ret == 0; ++b3) { + for (int b2 = 0; b2 < params->ne12 && ret == 0; ++b2) { + ret = hmx_mat_mul_permuted_w16a32(ctx, + hmx_matmul_dst_batch_ptr(params, b2, b3), + hmx_matmul_activation_batch_ptr(params, b2, b3), + hmx_matmul_weight_batch_ptr(params, b2, b3), + params->m, params->k, params->n, + params->act_stride, params->weight_stride); } } + return ret; } -static void transfer_activation_chunk_fp32_to_fp16(__fp16 *restrict vtcm_dst, const float *restrict src, int n_rows, - int k_block, int k_stride) { - for (int r = 0; r < n_rows; r += 2) { - int r0 = r / HMX_FP16_TILE_N_ROWS; // tile row index - int r1 = r % HMX_FP16_TILE_N_ROWS; // intra-tile row idx +int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx, const hmx_matmul_w16a32_batched_params_t *params) { + if (!ctx || !params || !params->dst || !params->activation || !params->permuted_weight) { return -1; } + if (!params->m || !params->k || !params->n) { return -1; } + if (params->act_stride < params->k || params->weight_stride < params->k || params->dst_stride < params->n) { return -1; } + if (params->ne02 <= 0 || params->ne03 <= 0 || params->ne12 <= 0 || params->ne13 <= 0) { return -1; } + if (params->ne12 % params->ne02 != 0 || params->ne13 % params->ne03 != 0) { return -1; } + if (params->k % 32 != 0 || params->n % 32 != 0) { return -1; } - const bool next_row_valid = (r + 1) < n_rows; - - const HVX_Vector *pv_in0 = (const HVX_Vector *) (src + (r + 0) * k_stride); - const HVX_Vector *pv_in1 = (const HVX_Vector *) (src + (r + 1) * k_stride); - for (int c = 0; c < k_block; c += 32) { - HVX_Vector v0 = *pv_in0++; - HVX_Vector v1 = next_row_valid ? *pv_in1++ : Q6_V_vzero(); - - HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1); - - // compute output position - int c0 = c / HMX_FP16_TILE_N_COLS; // tile column index - int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0; - - HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS); - tile[r1 / 2] = v_out; - } - } -} - -typedef struct { - __fp16 *dst; - const float *src; - int n_tasks; - int n_tot_chunks; - int n_chunks_per_task; - int k_block; - int k_stride; -} activation_transfer_task_state_t; - -static void transfer_activation_chunk_worker_fn(unsigned int n, unsigned int i, void *data) { - activation_transfer_task_state_t *st = (activation_transfer_task_state_t *) data; - - for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) { - // one chunk: one row - int chunk_idx = task_id * st->n_chunks_per_task; - size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task); - - __fp16 *dst = st->dst + chunk_idx * st->k_block; - const float *src = st->src + chunk_idx * st->k_stride; - transfer_activation_chunk_fp32_to_fp16(dst, src, chunk_size, st->k_block, st->k_stride); - } -} - -void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride) { - assert(k_block % HMX_FP16_TILE_N_COLS == 0 && k_stride % HMX_FP16_TILE_N_COLS == 0); - assert(VLEN == 32 * sizeof(float)); - - size_t n_tot_chunks = n_rows; - size_t n_chunks_per_task = 32; // must be multiple of 32 to ensure correct destination address - - activation_transfer_task_state_t state; - state.n_tasks = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task; - state.n_tot_chunks = n_tot_chunks; - state.n_chunks_per_task = n_chunks_per_task; - state.dst = dst; - state.src = src; - state.k_block = k_block; - state.k_stride = k_stride; - - worker_pool_run_func(ctx->worker_pool, transfer_activation_chunk_worker_fn, &state, ctx->n_threads); -} - -int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w, - int m, int k, int n, int weight_type) { - // assume k % 32 == 0 && n % 32 == 0 - const size_t row_stride = get_x4x2_row_stride(weight_type, k); - if (row_stride == 0) { + if (!hex_is_aligned(params->dst, VLEN) || + !hex_is_aligned(params->activation, VLEN) || + !hex_is_aligned(params->permuted_weight, VLEN)) { return -1; } - const size_t vtcm_budget = ctx->vtcm_size; + const int group_size = hmx_matmul_batch_r2(params); - const size_t K_BLOCK_SIZE = 1024; - - // Fallback: if k doesn't need K-blocking, out-stationary has no advantage - const size_t k_iters_check = (k + K_BLOCK_SIZE - 1) / K_BLOCK_SIZE; - if (k_iters_check <= 1) { - FARF(MEDIUM, "%s: K_BLK=%zu >= k=%d, fallback to standard path", __func__, K_BLOCK_SIZE, k); - return FALLBACK_TO_STANDARD; + if (group_size <= 1) { + FARF(HIGH, "%s: no dim2 GQA reuse (group=%d), using legacy batched loop", __func__, group_size); + return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); } - // Dynamic M,N search via hmx_compute_chunks - const size_t sub_row_stride_alloc = get_x4x2_row_stride(weight_type, K_BLOCK_SIZE); - const size_t per_m = K_BLOCK_SIZE * sizeof(float) // scratch1: M×K×4 (act DMA staging F32) - + K_BLOCK_SIZE * sizeof(__fp16); // activation: M×K×2 (F16 tiles) - const size_t per_n = sub_row_stride_alloc // scratch0: N×sub_row(K) (packed quant) - + K_BLOCK_SIZE * sizeof(__fp16); // weight: N×K×2 (F16 tiles) - const size_t per_mn = sizeof(__fp16); // output: M×N×2 (out-stationary) - // Alignment margin: hex_align_up can add up to 2047 bytes per buffer; - // scratch1 (mc×6144) is naturally 2048-aligned, remaining 4 buffers need margin - const size_t align_margin = 4 * HMX_FP16_TILE_SIZE; - const size_t overhead = HMX_FP16_TILE_SIZE + 256 + align_margin; // eye_tile + scales + alignment + // Grouped path: reuse interleaved weight across all q_heads sharing a + // kv_head. Each q_head gets its own activation buffer in VTCM (so + // activation is loaded once per m_chunk and reused across all n_chunks), + // and each q_head is computed individually to avoid tile-major packing + // issues. m_chunk_n_rows is always a multiple of 32 (from + // hmx_compute_chunks), so per-head tile arrays don't overlap. + const size_t vtcm_budget = ctx->vtcm_size; + const size_t vec_dot_size = params->k * sizeof(__fp16); - size_t M_BLOCK_SIZE, N_BLOCK_SIZE, vtcm_used; - // Cost-based search: minimize ceil(m/mc)*m_block_cost + ceil(n/nc)*n_block_cost. - // From profiling: wt_dequant per element ≈ 1.5× activation load per element. - // m_block_cost = n*3: each extra M-block re-dequants all N×K weight (expensive). - // n_block_cost = m*2: each extra N-block re-loads all M×K activation (cheaper). - const size_t m_block_cost = (size_t) n * 3; - const size_t n_block_cost = (size_t) m * 2; - if (hmx_compute_chunks(vtcm_budget, overhead, per_n, per_m, per_mn, m, n, m_block_cost, n_block_cost, &M_BLOCK_SIZE, - &N_BLOCK_SIZE, &vtcm_used) != 0) { - FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget); - return -1; + // When the activation has a large stride (e.g. permuted Q tensor with + // act_stride >> k), HVX vector loads from strided DDR thrash L2 cache. + // Allocate an F32 scratch buffer in VTCM and use 2D DMA to gather + // strided rows into a contiguous block before the F32->F16 conversion. + const bool use_dma_activation = (params->act_stride > params->k); + const size_t f32_scratch_per_m = use_dma_activation ? (size_t) params->k * sizeof(float) : 0; + + size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; + // FP16 weight: interleave and activation load have similar per-element cost. + if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, + /*per_n=*/3 * vec_dot_size, + /*per_m=*/group_size * vec_dot_size + f32_scratch_per_m, + /*per_mn=*/sizeof(__fp16), + hex_align_up(params->m, HMX_FP16_TILE_N_ROWS), params->n, + /*m_block_cost=*/(size_t) params->n, + /*n_block_cost=*/(size_t) params->m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { + FARF(HIGH, "%s: grouped path does not fit VTCM, falling back to legacy batched loop", __func__); + return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); } - // Compute precise buffer sizes from searched M,N and fixed K - const size_t weight_size = hex_align_up(N_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); - const size_t act_size = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); - const size_t out_size = hex_align_up(M_BLOCK_SIZE * N_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); - const size_t scratch0_sz = hex_align_up(N_BLOCK_SIZE * sub_row_stride_alloc, HMX_FP16_TILE_SIZE); - const size_t scratch1_sz = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(float), HMX_FP16_TILE_SIZE); - - const size_t total_vtcm = weight_size + act_size + out_size + scratch0_sz + scratch1_sz + HMX_FP16_TILE_SIZE + 256; - if (total_vtcm > vtcm_budget) { - FARF(HIGH, "%s: VTCM overflow after search: need %zu have %zu (M=%zu N=%zu K=%zu)", __func__, total_vtcm, - vtcm_budget, M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE); - return -1; - } + const size_t act_head_stride = m_chunk_n_rows * (size_t) params->k; // fp16 elements between heads + const size_t weight_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t activation_area_size = hex_align_up(group_size * m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t output_area_size = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t scratch_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t f32_scratch_size = use_dma_activation + ? hex_align_up(m_chunk_n_rows * (size_t) params->k * sizeof(float), HMX_FP16_TILE_SIZE) : 0; uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; - __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_size); - __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, act_size); - __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, out_size); - uint8_t *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch0_sz); - uint8_t *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch1_sz); - __fp16 *vtcm_eye_tile = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, HMX_FP16_TILE_SIZE); + __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size); + __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size); + __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size); + void *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); + void *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); - assert((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) <= vtcm_budget); + float *vtcm_f32_act = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL; - FARF(HIGH, "hmx-mm: m=%d k=%d n=%d wtype=%d block M=%zu N=%zu K=%zu vtcm=%zu/%zu", m, k, n, weight_type, - M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE, (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget); - - // initialize eye tile (32x32 identity matrix) - { - HVX_Vector v; - v = Q6_V_vzero(); - v = Q6_Vw_vinsert_VwR(v, 0x3c000000); - v = Q6_V_vror_VR(v, VLEN - 4); - v = Q6_Vw_vinsert_VwR(v, 0x00003c00); - for (int i = 0; i < 16; ++i) { - ((HVX_Vector *) vtcm_eye_tile)[i] = v; - v = Q6_V_vror_VR(v, VLEN - 8); - } + if ((size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base) > vtcm_budget) { + FARF(HIGH, "%s: grouped layout overflowed VTCM, falling back to legacy batched loop", __func__); + return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); } + hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // scale: 1.0, bias: 0.0 in FP16 - TIMER_DEFINE(fetch); - TIMER_DEFINE(act_load); - TIMER_DEFINE(wt_dequant); - TIMER_DEFINE(core); + FARF(HIGH, "%s: grouped path m=%d k=%d n=%d group=%d streams=%d mc=%zu nc=%zu vtcm=%zu/%zu", + __func__, params->m, params->k, params->n, group_size, params->ne13, + m_chunk_n_rows, n_chunk_n_cols, + (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget); + + TIMER_DEFINE(activation_load); + TIMER_DEFINE(weight_load); + TIMER_DEFINE(hmx_core); + TIMER_DEFINE(output_store); + TIMER_DEFINE(total); + + TIMER_START(total); + + const size_t fp16_row_bytes = (size_t) params->k * sizeof(__fp16); + const size_t weight_row_bytes = (size_t) params->weight_stride * sizeof(__fp16); HAP_compute_res_hmx_lock(ctx->vtcm_rctx); - for (size_t mr = 0; mr < m; mr += M_BLOCK_SIZE) { - size_t m_blk_sz = hex_smin(m - mr, M_BLOCK_SIZE); - for (size_t nc = 0; nc < n; nc += N_BLOCK_SIZE) { - size_t n_blk_sz = hex_smin(n - nc, N_BLOCK_SIZE); + for (int b3 = 0; b3 < params->ne13; ++b3) { + for (int b2_base = 0; b2_base < params->ne12; b2_base += group_size) { + const __fp16 *weight_group = hmx_matmul_weight_batch_ptr(params, b2_base, b3); - const int n_row_tiles = hmx_ceil_div(m_blk_sz, HMX_FP16_TILE_N_ROWS); - const int n_col_tiles = hmx_ceil_div(n_blk_sz, HMX_FP16_TILE_N_COLS); + for (size_t mr = 0; mr < (size_t) params->m; mr += m_chunk_n_rows) { + const size_t n_rows = hex_smin((size_t) params->m - mr, m_chunk_n_rows); + const size_t n_row_tiles = hmx_ceil_div((int) n_rows, HMX_FP16_TILE_N_ROWS); - for (size_t kk = 0; kk < k; kk += K_BLOCK_SIZE) { - const size_t k_blk_sz = hex_smin(k - kk, K_BLOCK_SIZE); + // Pre-load activations for all heads in the group (once per m_chunk). + // When the source is strided (permuted Q), use 2D DMA to gather + // contiguous rows into a VTCM scratch buffer first, then HVX + // converts from the contiguous VTCM buffer. This avoids L2 cache + // thrashing from HVX loads at large strides. + TIMER_START(activation_load); + for (int g = 0; g < group_size; ++g) { + const float *activation_chunk = hmx_matmul_activation_batch_ptr(params, b2_base + g, b3) + mr * params->act_stride; + __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride; + if (use_dma_activation) { + const size_t row_bytes = (size_t) params->k * sizeof(float); + const size_t stride_bytes = (size_t) params->act_stride * sizeof(float); + dma_queue_push(ctx->dma[0], + dma_make_ptr(vtcm_f32_act, activation_chunk), + row_bytes, stride_bytes, row_bytes, n_rows); + dma_queue_pop(ctx->dma[0]); + transfer_activation_chunk_threaded(ctx, vtcm_act_g, + vtcm_f32_act, (int) n_rows, + params->k, params->k); + } else { + transfer_activation_chunk_threaded(ctx, vtcm_act_g, + activation_chunk, (int) n_rows, + params->k, params->act_stride); + } + } + TIMER_STOP(activation_load); + + void *buf_curr = vtcm_scratch0; + void *buf_next = vtcm_scratch1; - TIMER_START(fetch); - // fetch activation block into VTCM { - const float *activation_block = x + mr * k + kk; - - dma_queue_push(ctx->dma[0], - dma_make_ptr(vtcm_scratch1, activation_block), - k_blk_sz * sizeof(float), - k * sizeof(float), - k_blk_sz * sizeof(float), - m_blk_sz); + const size_t n_cols_first = hex_smin((size_t) params->n, n_chunk_n_cols); + dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, weight_group), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first); } - // fetch weight block into VTCM (x4x2 sub-block: quants + scales) - const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz); - { - qweight_fetch_task_state_t s; + for (size_t nc = 0; nc < (size_t) params->n; nc += n_chunk_n_cols) { + const size_t n_cols = hex_smin((size_t) params->n - nc, n_chunk_n_cols); + const size_t n_col_tiles = hmx_ceil_div((int) n_cols, HMX_FP16_TILE_N_COLS); - const int blk_start = kk / QK_Q4_0x4x2; - const int nb_sub = (k_blk_sz + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2; - const int full_qrow = (weight_type == HTP_TYPE_Q8_0) ? k : (k / 2); - const int scale_blk_size = - (weight_type == HTP_TYPE_MXFP4) ? HMX_X4X2_MXFP4_EBLK_SIZE : HMX_X4X2_DBLK_SIZE; + TIMER_START(weight_load); + { + dma_queue_pop(ctx->dma[0]); - s.dst = vtcm_scratch0; - s.src = w + nc * row_stride; - s.n_rows = n_blk_sz; - s.src_stride = row_stride; - s.dst_stride = sub_row_stride; - s.quant_off = - (weight_type == HTP_TYPE_Q8_0) ? (blk_start * QK_Q8_0x4x2) : (blk_start * (QK_Q4_0x4x2 / 2)); - s.quant_width = - (weight_type == HTP_TYPE_Q8_0) ? (nb_sub * QK_Q8_0x4x2) : (nb_sub * (QK_Q4_0x4x2 / 2)); - s.scale_off = full_qrow + blk_start * scale_blk_size; - s.scale_width = nb_sub * scale_blk_size; + const size_t nc_next = nc + n_chunk_n_cols; + if (nc_next < (size_t) params->n) { + const size_t n_cols_next = hex_smin((size_t) params->n - nc_next, n_chunk_n_cols); + const __fp16 *next_weight_chunk = weight_group + nc_next * params->weight_stride; - // 2D DMA: quants sub-range - dma_queue_push(ctx->dma[0], dma_make_ptr(s.dst, s.src + s.quant_off), - s.dst_stride, s.src_stride, s.quant_width, s.n_rows); - // 2D DMA: scales sub-range - dma_queue_push(ctx->dma[0], dma_make_ptr(s.dst + s.quant_width, s.src + s.scale_off), - s.dst_stride, s.src_stride, s.scale_width, s.n_rows); + dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next); + } + + hmx_interleave_rows_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, params->k, params->k, + 0, n_cols); + hex_swap_ptr(&buf_curr, &buf_next); + } + TIMER_STOP(weight_load); + + // Reuse the interleaved weight for every q_head in this GQA group + for (int g = 0; g < group_size; ++g) { + TIMER_START(hmx_core); + { + const __fp16 * vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride; + core_dot_chunk_fp16(vtcm_output, vtcm_act_g, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, + params->k / 32); + } + TIMER_STOP(hmx_core); + + TIMER_START(output_store); + { + float *output = hmx_matmul_dst_batch_ptr(params, b2_base + g, b3) + mr * params->dst_stride + nc; + transfer_output_chunk_threaded(ctx, output, vtcm_output, (int) n_rows, (int) n_cols, params->dst_stride); + } + TIMER_STOP(output_store); + } } - TIMER_STOP(fetch); - - TIMER_START(act_load); - // load activation block - { - dma_queue_pop(ctx->dma[0]); // wait for act DNA - transfer_activation_chunk_threaded(ctx, vtcm_activation, (float *) vtcm_scratch1, m_blk_sz, k_blk_sz, k_blk_sz); - } - TIMER_STOP(act_load); - - TIMER_START(wt_dequant); - // dequantize weight block - { - dma_queue_pop(ctx->dma[0]); - dma_queue_pop(ctx->dma[0]); - // vtcm_scratch0 is used to store the qweight chunk - // worker_pool_run_func already returned, so fetch is done - dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, vtcm_scratch0, - n_blk_sz, k_blk_sz, sub_row_stride, weight_type); - } - TIMER_STOP(wt_dequant); - - // core mma - TIMER_START(core); - { - core_mma_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, vtcm_eye_tile, n_row_tiles, - n_col_tiles, k_blk_sz / HMX_FP16_TILE_N_COLS, kk == 0); - } - TIMER_STOP(core); - } - - // store output block - { - float *output_block = out + (mr * n + nc); - transfer_output_chunk_threaded(ctx, output_block, vtcm_output, m_blk_sz, n_blk_sz, n); } } } HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); + TIMER_STOP(total); + #if defined(ENABLE_PROFILE_TIMERS) - FARF(HIGH, "fetch: %lld us, act_load: %lld us, wt_dequant: %lld us, core: %lld us", - TIMER_US(fetch), TIMER_US(act_load), TIMER_US(wt_dequant), TIMER_US(core)); + FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d group=%d", __func__, TIMER_US(total), + params->m, params->k, params->n, group_size); + FARF(HIGH, " activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us", + TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store)); #endif + + return 0; +} + +// + +int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation, + const __fp16 *restrict permuted_weight, int m, int k, int n, + int act_stride, int weight_stride) { + if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; } + if (act_stride < k || weight_stride < k) { return -1; } + if (k % 32 != 0 || n % 32 != 0) { return -1; } + + if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) { + return -1; + } + + // --- Dynamic VTCM layout --- + const size_t vtcm_budget = ctx->vtcm_size; + const size_t vec_dot_size = k * sizeof(__fp16); + + // DMA-based activation gather for strided tensors (see batched path comment). + const bool use_dma_activation = (act_stride > k); + const size_t f32_scratch_per_m = use_dma_activation ? (size_t) k * sizeof(float) : 0; + + size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; + // FP16 weight: interleave and activation load have similar per-element cost. + if (hmx_compute_chunks(vtcm_budget, + /*overhead=*/256, + /*per_n=*/3 * vec_dot_size, // W + S0 + S1 + /*per_m=*/vec_dot_size + f32_scratch_per_m, // A + optional F32 scratch + /*per_mn=*/sizeof(__fp16), // O + hex_align_up(m, HMX_FP16_TILE_N_ROWS), n, + /*m_block_cost=*/(size_t) n, + /*n_block_cost=*/(size_t) m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { + FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget); + return -1; + } + + const size_t weight_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t output_area_size = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t scratch_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t f32_scratch_size = use_dma_activation + ? hex_align_up(m_chunk_n_rows * (size_t) k * sizeof(float), HMX_FP16_TILE_SIZE) : 0; + + // VTCM layout: weight | activation | output | scratch0 | scratch1 | scales | [f32_scratch] + uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; + __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size); + __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size); + __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size); + void *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); + void *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); + __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); + float *vtcm_f32_act = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL; + if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) { + FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + return -1; + } + + hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // scale: 1.0, bias: 0.0 in FP16 + + FARF(HIGH, "%s: m=%d k=%d n=%d mc=%zu nc=%zu vtcm=%zu/%zu", + __func__, m, k, n, m_chunk_n_rows, n_chunk_n_cols, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + + TIMER_DEFINE(activation_load); + TIMER_DEFINE(weight_load); + TIMER_DEFINE(hmx_core); + TIMER_DEFINE(output_store); + + TIMER_DEFINE(total); + TIMER_START(total); + + HAP_compute_res_hmx_lock(ctx->vtcm_rctx); + + for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) { + // transfer activation matrix chunk into VTCM + const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows); + const size_t n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS); + + TIMER_START(activation_load); + { + const float *activation_chunk = activation + mr * act_stride; + if (use_dma_activation) { + const size_t row_bytes = (size_t) k * sizeof(float); + const size_t stride_bytes = (size_t) act_stride * sizeof(float); + dma_queue_push(ctx->dma[0], + dma_make_ptr(vtcm_f32_act, activation_chunk), + row_bytes, stride_bytes, row_bytes, n_rows); + dma_queue_pop(ctx->dma[0]); + transfer_activation_chunk_threaded(ctx, vtcm_activation, + vtcm_f32_act, n_rows, k, k); + } else { + transfer_activation_chunk_threaded(ctx, vtcm_activation, + activation_chunk, n_rows, k, act_stride); + } + } + TIMER_STOP(activation_load); + + const size_t fp16_row_bytes = (size_t) k * sizeof(__fp16); + const size_t weight_row_bytes = (size_t) weight_stride * sizeof(__fp16); + + void *buf_curr = vtcm_scratch0; + void *buf_next = vtcm_scratch1; + + // issue async DMA for the first weight chunk + // NOTE: use 2D DMA (n_cols rows x fp16_row_bytes) to avoid 16-bit roiwidth overflow. + // The source rows can be strided (e.g. KV-cache K after ggml_permute). + { + const size_t n_cols_first = hex_smin(n, n_chunk_n_cols); + + dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first); + } + + for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) { + const size_t n_cols = hex_smin(n - nc, n_chunk_n_cols); + const size_t n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS); + + TIMER_START(weight_load); + { + dma_queue_pop(ctx->dma[0]); // wait until current weight chunk is ready + + // issue async DMA for the next weight chunk (double buffering) + const size_t nc_next = nc + n_chunk_n_cols; + if (nc_next < n) { + const size_t n_cols_next = hex_smin(n - nc_next, n_chunk_n_cols); + const __fp16 *next_weight_chunk = permuted_weight + nc_next * weight_stride; + + dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next); + } + + // interleave row-major fp16 from scratch into tile-major in vtcm_weight + hmx_interleave_rows_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, k, k, 0, n_cols); + + hex_swap_ptr(&buf_curr, &buf_next); + } + TIMER_STOP(weight_load); + + TIMER_START(hmx_core); + { + core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32); + } + TIMER_STOP(hmx_core); + + TIMER_START(output_store); + { + float *output = dst + (mr * n + nc); + transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n); + } + TIMER_STOP(output_store); + } + + } + + HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); + + TIMER_STOP(total); + +#if defined(ENABLE_PROFILE_TIMERS) + FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d", __func__, TIMER_US(total), m, k, n); + FARF(HIGH, " activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us", + TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store)); + { + size_t weight_size = (size_t)k * n * sizeof(__fp16); + float bandwidth = 1e-3f * weight_size / (float)TIMER_US(weight_load); + FARF(HIGH, " weight load bandwidth: %.2f GB/s", bandwidth); + } +#endif + return 0; } diff --git a/ggml/src/ggml-hexagon/htp/hmx-ops.h b/ggml/src/ggml-hexagon/htp/hmx-ops.h index fb95d36f5a..1c78ffadd1 100644 --- a/ggml/src/ggml-hexagon/htp/hmx-ops.h +++ b/ggml/src/ggml-hexagon/htp/hmx-ops.h @@ -61,6 +61,9 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, int m, int k, int n, int weight_type); +// HMX flash attention +int hmx_flash_attn_ext(struct htp_ops_context * octx); + #ifdef __cplusplus } #endif diff --git a/ggml/src/ggml-hexagon/htp/hmx-utils.h b/ggml/src/ggml-hexagon/htp/hmx-utils.h index af04619ceb..f448ee3372 100644 --- a/ggml/src/ggml-hexagon/htp/hmx-utils.h +++ b/ggml/src/ggml-hexagon/htp/hmx-utils.h @@ -4,6 +4,9 @@ #ifndef HMX_UTILS_H #define HMX_UTILS_H +#include "hvx-base.h" + +#include #include #include @@ -12,21 +15,186 @@ #define HMX_FP16_TILE_N_ELMS 1024 #define HMX_FP16_TILE_SIZE 2048 -#define HMX_INLINE_ALWAYS inline __attribute__((unused, always_inline)) - // Initialise aligned 256-byte area with scale vector + zero padding. -static HMX_INLINE_ALWAYS void hmx_init_column_scales(void *out_scales, HVX_Vector v_scale) { - HVX_Vector *pv = (HVX_Vector *)out_scales; - *pv++ = v_scale; - *pv = Q6_V_vzero(); +static inline void hmx_init_column_scales(void *out_scales, HVX_Vector v_scale) { + volatile HVX_Vector *pv = (HVX_Vector *) out_scales; + pv[0] = v_scale; + pv[1] = Q6_V_vzero(); } -// --- VTCM sequential allocator (from htp-ops-lib/include/dsp/vtcm_mgr.h) --- +// --- Shared scatter offsets and interleave helper --- -static inline uint8_t *vtcm_seq_alloc(uint8_t **vtcm_ptr, size_t size) { - uint8_t *p = *vtcm_ptr; - *vtcm_ptr += size; - return p; +// vscatter offsets for fused dequant+transpose: write K-values directly to [K][N] tile. +// word[i] = i*128 maps K-row-pair i to byte offset i*128. +// Column offset (n*4) is added at runtime. Entries 0..15 cover one tile (region 2047); +// entries 16..31 cover the next adjacent tile (region 4095) — pick region size at the +// call site to scatter into one tile (masked) or two contiguous tiles (unmasked). +static const int32_t hmx_transpose_scatter_offsets[32] __attribute__((aligned(VLEN))) = { + 0 * 128, 1 * 128, 2 * 128, 3 * 128, 4 * 128, 5 * 128, 6 * 128, 7 * 128, 8 * 128, 9 * 128, 10 * 128, + 11 * 128, 12 * 128, 13 * 128, 14 * 128, 15 * 128, 16 * 128, 17 * 128, 18 * 128, 19 * 128, 20 * 128, 21 * 128, + 22 * 128, 23 * 128, 24 * 128, 25 * 128, 26 * 128, 27 * 128, 28 * 128, 29 * 128, 30 * 128, 31 * 128, +}; + +// Scatter row-major FP16 data (in VTCM scratch) into transposed [K][N] tiles. +// vtcm_src: [n_cols][src_stride] row-major fp16 (only first k elements per row are used) +// vtcm_dst: [n_col_tiles][n_k_tiles][HMX_FP16_TILE_N_ELMS] tile-major interleaved fp16 +// Processes rows [start_row, end_row) for multi-thread slicing. +// Full range: start_row=0, end_row=n_cols. +static inline void hmx_interleave_rows_to_tiles(__fp16 * restrict vtcm_dst, + const __fp16 * restrict vtcm_src, + int n_cols, + int k, + int src_stride, + int start_row, + int end_row) { + assert(k % HMX_FP16_TILE_N_COLS == 0); + + const int n_k_tiles = k / HMX_FP16_TILE_N_COLS; + const HVX_Vector v_scat_base = hvx_vmem(hmx_transpose_scatter_offsets); + const HVX_Vector v_scat_step = Q6_V_vsplat_R(4); + const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64); + // Each hvx_vmemu load brings 64 fp16 = 128 bytes covering 2 adjacent K-tiles. + // When n_k_tiles is even, scatter into 2 K-tiles per call (region 4095, no mask) + // using the upper half of hmx_transpose_scatter_offsets. Tail one K-tile (when + // n_k_tiles is odd) falls back to single-tile masked scatter. + const bool pair_scatter = (n_k_tiles & 1) == 0; + const size_t pair_region = (size_t) (2 * HMX_FP16_TILE_SIZE - 1); + const size_t single_region = (size_t) (HMX_FP16_TILE_SIZE - 1); + __builtin_assume(k > 0); + __builtin_assume(end_row > start_row); + + if (pair_scatter) { + // Step c by 64 fp16 (two K-tiles per scatter), advance dst by 2 tiles per iter. + const int c_step = 2 * HMX_FP16_TILE_N_COLS; + const size_t c_byte_step = (size_t) c_step * sizeof(__fp16); + const size_t dst_step = 2 * (size_t) HMX_FP16_TILE_N_ELMS; + const int n_c_iters = k / c_step; + + for (int r = start_row; r < end_row; r += 2) { + const int ct = r / HMX_FP16_TILE_N_ROWS; + const int local_r = r % HMX_FP16_TILE_N_ROWS; + const bool next_row_valid = (r + 1) < end_row && (r + 1) < n_cols; + const HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4)); + const HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step); + + __fp16 * tile_base = vtcm_dst + (size_t) ct * n_k_tiles * HMX_FP16_TILE_N_ELMS; + const uint8_t * p0 = (const uint8_t *) (vtcm_src + r * src_stride); + const uint8_t * p1 = next_row_valid ? (const uint8_t *) (vtcm_src + (r + 1) * src_stride) : NULL; + + assert(hex_is_aligned(p0, 128)); + assert(hex_is_aligned(p1, 128)); + assert(c_byte_step % 128 == 0); + + if (p1) { + for (int i = 0; i < n_c_iters; ++i) { + HVX_Vector v0 = hvx_vmem(p0); p0 += c_byte_step; + HVX_Vector v1 = hvx_vmem(p1); p1 += c_byte_step; + Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off0, v0); + Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off1, v1); + tile_base += dst_step; + } + } else { + const HVX_Vector vzero = Q6_V_vzero(); + for (int i = 0; i < n_c_iters; ++i) { + HVX_Vector v0 = hvx_vmem(p0); p0 += c_byte_step; + Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off0, v0); + Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off1, vzero); + tile_base += dst_step; + } + } + } + } else { + // Fallback: scatter one K-tile per call (region 2047, masked). + const int c_step = HMX_FP16_TILE_N_COLS; + const size_t c_byte_step = (size_t) c_step * sizeof(__fp16); + const size_t dst_step = (size_t) HMX_FP16_TILE_N_ELMS; + const int n_c_iters = k / c_step; + + for (int r = start_row; r < end_row; r += 2) { + const int ct = r / HMX_FP16_TILE_N_ROWS; + const int local_r = r % HMX_FP16_TILE_N_ROWS; + const bool next_row_valid = (r + 1) < end_row && (r + 1) < n_cols; + const HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4)); + const HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step); + + __fp16 * tile_base = vtcm_dst + (size_t) ct * n_k_tiles * HMX_FP16_TILE_N_ELMS; + const uint8_t * p0 = (const uint8_t *) (vtcm_src + r * src_stride); + const uint8_t * p1 = next_row_valid ? (const uint8_t *) (vtcm_src + (r + 1) * src_stride) : NULL; + + if (p1) { + for (int i = 0; i < n_c_iters; ++i) { + HVX_Vector v0 = hvx_vmemu(p0); p0 += c_byte_step; + HVX_Vector v1 = hvx_vmemu(p1); p1 += c_byte_step; + Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off0, v0); + Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off1, v1); + tile_base += dst_step; + } + } else { + const HVX_Vector vzero = Q6_V_vzero(); + for (int i = 0; i < n_c_iters; ++i) { + HVX_Vector v0 = hvx_vmemu(p0); p0 += c_byte_step; + Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off0, v0); + Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off1, vzero); + tile_base += dst_step; + } + } + } + } +} + +// Interleave row-major FP16 data into column-major tile format. +// Input: [n_rows, head_dim] row-major. Output: tile[dim_tile][row_tile]. +// Processes rows [start_row, end_row) for multi-thread slicing. +// Full range: start_row=0, end_row=n_rows. +static inline void hmx_interleave_cols_to_tiles(__fp16 * restrict tiles_out, + const __fp16 * restrict src, + int n_rows, + int head_dim, + int src_stride, + int n_row_tiles, + int start_row, + int end_row) { + __builtin_assume(head_dim > 0); + const size_t tile_stride_elms = (size_t) n_row_tiles * HMX_FP16_TILE_N_ELMS; + + for (int r = start_row; r < end_row; r += 2) { + const bool next_row_valid = (r + 1) < end_row && (r + 1) < n_rows; + + const HVX_Vector * pv_in0 = (const HVX_Vector *) (src + r * src_stride); + const HVX_Vector * pv_in1 = next_row_valid ? (const HVX_Vector *) (src + (r + 1) * src_stride) : NULL; + + // Row-pair invariants hoisted out of the c loop. + const int r0 = r / HMX_FP16_TILE_N_ROWS; + const int r1_half = (r % HMX_FP16_TILE_N_ROWS) / 2; + + // tb0 starts at tile (c0=0, r0); tb1 at the adjacent dim-tile (c0=1, r0). + // Each c step (+= 64) advances both by 2 dim-tiles worth of fp16. + __fp16 * tb0 = tiles_out + (size_t) r0 * HMX_FP16_TILE_N_ELMS; + __fp16 * tb1 = tb0 + tile_stride_elms; + const size_t tb_step = 2 * tile_stride_elms; + + if (pv_in1) { + for (int c = 0; c < head_dim; c += 64) { + HVX_Vector v0 = *pv_in0++; + HVX_Vector v1 = *pv_in1++; + HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2); + ((HVX_Vector *) tb0)[r1_half] = Q6_V_lo_W(vp); + ((HVX_Vector *) tb1)[r1_half] = Q6_V_hi_W(vp); + tb0 += tb_step; + tb1 += tb_step; + } + } else { + const HVX_Vector vzero = Q6_V_vzero(); + for (int c = 0; c < head_dim; c += 64) { + HVX_Vector v0 = *pv_in0++; + HVX_VectorPair vp = Q6_W_vshuff_VVR(vzero, v0, -2); + ((HVX_Vector *) tb0)[r1_half] = Q6_V_lo_W(vp); + ((HVX_Vector *) tb1)[r1_half] = Q6_V_hi_W(vp); + tb0 += tb_step; + tb1 += tb_step; + } + } + } } #endif // HMX_UTILS_H diff --git a/ggml/src/ggml-hexagon/htp/htp-ctx.h b/ggml/src/ggml-hexagon/htp/htp-ctx.h index d704fedee9..92f02eac6e 100644 --- a/ggml/src/ggml-hexagon/htp/htp-ctx.h +++ b/ggml/src/ggml-hexagon/htp/htp-ctx.h @@ -20,7 +20,7 @@ struct htp_mmap { uint64_t size; uint64_t base; uint32_t fd; - uint32_t pinned; + uint32_t reserved; }; // Scratchpad state @@ -77,6 +77,8 @@ struct htp_context { atomic_bool vtcm_valid; atomic_bool vtcm_needs_release; + uint64_t max_vmem; + struct htp_ops_context octx; #ifdef HTP_HAS_HMX @@ -104,5 +106,6 @@ int op_cumsum(struct htp_ops_context * octx); int op_fill(struct htp_ops_context * octx); int op_diag(struct htp_ops_context * octx); int op_solve_tri(struct htp_ops_context * octx); +int op_gated_delta_net(struct htp_ops_context * octx); #endif /* HTP_CTX_H */ diff --git a/ggml/src/ggml-hexagon/htp/htp-ops.h b/ggml/src/ggml-hexagon/htp/htp-ops.h index 4397245c5b..98db864dd4 100644 --- a/ggml/src/ggml-hexagon/htp/htp-ops.h +++ b/ggml/src/ggml-hexagon/htp/htp-ops.h @@ -62,6 +62,7 @@ enum htp_op_code { HTP_OP_UNARY_EXP, HTP_OP_UNARY_NEG, HTP_OP_UNARY_SOFTPLUS, + HTP_OP_UNARY_TANH, HTP_OP_GLU_SWIGLU, HTP_OP_GLU_SWIGLU_OAI, HTP_OP_GLU_GEGLU, @@ -83,6 +84,9 @@ enum htp_op_code { HTP_OP_FILL, HTP_OP_DIAG, HTP_OP_SOLVE_TRI, + HTP_OP_L2_NORM, + HTP_OP_GATED_DELTA_NET, + HTP_OP_INVALID }; @@ -90,15 +94,11 @@ enum htp_op_code { #define HTP_OP_MAX_INPUTS 6 // aka GGML_MAX_SRCS #define HTP_OP_MAX_PARAMS 16 // aka GGML_MAX_OP_PARAMS -#define HTP_OP_MAX_BUFS 8 +#define HTP_OP_MAX_BUFS 16 #define HTP_OP_MAX_REQS 256 #define HTP_OP_MAX_TENSORS (HTP_OP_MAX_REQS * HTP_OP_MAX_INPUTS + HTP_OP_MAX_REQS) -#if __HVX_ARCH__ < 75 -#define HTP_OP_MAX_VMEM (3167538380u) -#else -#define HTP_OP_MAX_VMEM (3221225472u) -#endif +#define HTP_OP_MAX_VMEM_DEFAULT (3355443200u) #define HTP_MMAP_MAX_VMEM (2147483648u) diff --git a/ggml/src/ggml-hexagon/htp/htp_iface.idl b/ggml/src/ggml-hexagon/htp/htp_iface.idl index dbcafd1d85..d696a5fba0 100644 --- a/ggml/src/ggml-hexagon/htp/htp_iface.idl +++ b/ggml/src/ggml-hexagon/htp/htp_iface.idl @@ -11,9 +11,9 @@ struct htp_iface_pmu_conf { }; interface htp_iface : remote_handle64 { - AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx, in uint32 use_hmx); + AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx, in uint32 use_hmx, in uint64 max_vmem); AEEResult stop(); - AEEResult mmap(in uint32 fd, in uint32 size, in uint32 pinned); + AEEResult mmap(in uint32 fd, in uint32 size); AEEResult munmap(in uint32 fd); AEEResult profiler(in uint32 mode, in htp_iface_pmu_conf pmu); AEEResult etm(in uint32 enable); diff --git a/ggml/src/ggml-hexagon/htp/hvx-base.h b/ggml/src/ggml-hexagon/htp/hvx-base.h index d0926dedd2..f6cb02951d 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-base.h +++ b/ggml/src/ggml-hexagon/htp/hvx-base.h @@ -77,6 +77,12 @@ static inline int32_t hvx_vec_get_i32(HVX_Vector v) { return x; } +static inline _Float16 hvx_vec_get_f16(HVX_Vector v) { + _Float16 __attribute__((aligned(128))) x; + hvx_vec_store_a(&x, 2, v); + return x; +} + static inline HVX_Vector hvx_vec_abs_f16(HVX_Vector v) { // abs by clearing the fp16 sign bit HVX_Vector mask = Q6_Vh_vsplat_R(0x7fff); diff --git a/ggml/src/ggml-hexagon/htp/hvx-copy.h b/ggml/src/ggml-hexagon/htp/hvx-copy.h index 851482e01b..a3e33c3b3a 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-copy.h +++ b/ggml/src/ggml-hexagon/htp/hvx-copy.h @@ -7,7 +7,8 @@ #include "hvx-base.h" -#define hvx_splat_loop_body(dst_type, vec_store) \ +#define hvx_splat_pragma(x) _Pragma(#x) +#define hvx_splat_loop_body(dst_type, vec_store, unroll_cnt) \ do { \ dst_type * restrict vdst = (dst_type *) dst; \ \ @@ -16,7 +17,7 @@ \ uint32_t i = 0; \ \ - _Pragma("unroll(4)") \ + hvx_splat_pragma(unroll(unroll_cnt)) \ for (; i < nvec; i++) { \ vdst[i] = src; \ } \ @@ -25,31 +26,47 @@ } \ } while(0) -static inline void hvx_splat_a(uint8_t * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) { +static inline void hvx_splat_a(void * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) { assert((unsigned long) dst % 128 == 0); - hvx_splat_loop_body(HVX_Vector, hvx_vec_store_a); + hvx_splat_loop_body(HVX_Vector, hvx_vec_store_a, 4); } -static inline void hvx_splat_u(uint8_t * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) { - hvx_splat_loop_body(HVX_UVector, hvx_vec_store_u); +static inline void hvx_splat_u(void * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) { + hvx_splat_loop_body(HVX_UVector, hvx_vec_store_u, 4); } -static inline void hvx_splat_f32_a(uint8_t * restrict dst, float v, uint32_t n) { +static inline void hvx_splat_f32_a(void * restrict dst, float v, uint32_t n) { hvx_splat_a(dst, hvx_vec_splat_f32(v), n, sizeof(float)); } -static inline void hvx_splat_f32_u(uint8_t * restrict dst, float v, uint32_t n) { +static inline void hvx_splat_f32_u(void * restrict dst, float v, uint32_t n) { hvx_splat_u(dst, hvx_vec_splat_f32(v), n, sizeof(float)); } -static inline void hvx_splat_f16_a(uint8_t * restrict dst, _Float16 v, uint32_t n) { +static inline void hvx_splat_f16_a(void * restrict dst, _Float16 v, uint32_t n) { hvx_splat_u(dst, hvx_vec_splat_f16(v), n, sizeof(__fp16)); } -static inline void hvx_splat_f16_u(uint8_t * restrict dst, _Float16 v, uint32_t n) { +static inline void hvx_splat_f16_u(void * restrict dst, _Float16 v, uint32_t n) { hvx_splat_u(dst, hvx_vec_splat_f16(v), n, sizeof(__fp16)); } +static inline void hvx_splat_u16_a(void * restrict dst, uint16_t v, uint32_t n) { + hvx_splat_a(dst, Q6_Vh_vsplat_R(v), n, sizeof(uint16_t)); +} + +static inline void hvx_splat_u16_u(void * restrict dst, uint16_t v, uint32_t n) { + hvx_splat_u(dst, Q6_Vh_vsplat_R(v), n, sizeof(uint16_t)); +} + +static inline void hvx_splat_u8_a(void * restrict dst, uint8_t v, uint32_t n) { + hvx_splat_a(dst, Q6_Vb_vsplat_R(v), n, 1); +} + +static inline void hvx_splat_u8_u(void * restrict dst, uint8_t v, uint32_t n) { + hvx_splat_u(dst, Q6_Vb_vsplat_R(v), n, 1); +} + #define hvx_copy_loop_body(dst_type, src_type, vec_store) \ do { \ dst_type * restrict vdst = (dst_type *) dst; \ diff --git a/ggml/src/ggml-hexagon/htp/hvx-exp.h b/ggml/src/ggml-hexagon/htp/hvx-exp.h index 84e4836dc9..e71ec4909a 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-exp.h +++ b/ggml/src/ggml-hexagon/htp/hvx-exp.h @@ -17,7 +17,7 @@ #define EXP_LOGN2 (0x3F317218) // ln(2) = 0.6931471805 #define EXP_LOG2E (0x3FB8AA3B) // log2(e) = 1/ln(2) = 1.4426950408 #define EXP_ONE (0x3f800000) // 1.0 -#define EXP_RANGE_R (0x42B16666) // 88.7 +#define EXP_RANGE_R (0x42B17218) // ln(FLT_MAX) approx = 88.7228 #define EXP_RANGE_L (0xC2B00000) // -88.0 (approx log(FLT_MIN)) static inline HVX_Vector hvx_vec_exp_f32(HVX_Vector in_vec) { @@ -163,7 +163,7 @@ static inline void hvx_exp_f32(uint8_t * restrict dst, const uint8_t * restrict HVX_Vector vec_out = Q6_V_vzero(); static const float kInf = INFINITY; - static const float kMaxExp = 88.7f; + static const float kMaxExp = 88.7228f; const HVX_Vector max_exp = hvx_vec_splat_f32(kMaxExp); const HVX_Vector inf = hvx_vec_splat_f32(kInf); diff --git a/ggml/src/ggml-hexagon/htp/hvx-repl.h b/ggml/src/ggml-hexagon/htp/hvx-repl.h new file mode 100644 index 0000000000..fdc7e6c7d2 --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/hvx-repl.h @@ -0,0 +1,74 @@ +#ifndef HVX_REPL_H +#define HVX_REPL_H + +#include +#include +#include + +#include "hvx-base.h" + +static inline HVX_Vector hvx_vec_repl(HVX_Vector v, const uint8_t * ctrl) { + return Q6_V_vdelta_VV(v, hvx_vmem(ctrl)); +} + +static inline HVX_Vector hvx_vec_repl_u32(HVX_Vector v) { + // vdelta control to replicate first 4 bytes across all lanes + static const uint8_t __attribute__((aligned(128))) repl[128] = { + 0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x40, 0x40, 0x40, 0x40, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + }; + return hvx_vec_repl(v, repl); +} + +static inline HVX_Vector hvx_vec_repl_f32(HVX_Vector v) { + // vdelta control to replicate first 4 bytes across all lanes + static const uint8_t __attribute__((aligned(128))) repl[128] = { + 0x00, 0x00, 0x00, 0x00, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x40, 0x40, 0x40, 0x40, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x20, 0x20, 0x20, 0x20, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + 0x10, 0x10, 0x10, 0x10, 0x04, 0x04, 0x04, 0x04, 0x08, 0x08, 0x08, 0x08, 0x04, 0x04, 0x04, 0x04, + }; + return hvx_vec_repl(v, repl); +} + +static inline HVX_Vector hvx_vec_repl_f16(HVX_Vector v) { + // vdelta control to replicate first two bytes across all lanes + static const uint8_t __attribute__((aligned(128))) repl[128] = { + 0x00, 0x00, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x40, 0x40, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + }; + return hvx_vec_repl(v, repl); +} + +static inline HVX_Vector hvx_vec_repl_2x_f16(HVX_Vector v) { + // vdelta control to splat a pair of f16s: first half = f16[0], second half = f16[1] + static const uint8_t __attribute__((aligned(128))) repl[128] = { + 0x00, 0x00, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, + 0x02, 0x02, 0x40, 0x40, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, + 0x02, 0x02, 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, + 0x02, 0x02, 0x20, 0x20, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, + 0x02, 0x02, 0x10, 0x10, 0x02, 0x02, 0x04, 0x04, 0x02, 0x02, 0x08, 0x08, 0x02, 0x02, 0x04, 0x04, + }; + return hvx_vec_repl(v, repl); +} + +#endif // HVX_REPL_H diff --git a/ggml/src/ggml-hexagon/htp/hvx-utils.h b/ggml/src/ggml-hexagon/htp/hvx-utils.h index a518ad3733..e0452811ec 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-utils.h +++ b/ggml/src/ggml-hexagon/htp/hvx-utils.h @@ -5,6 +5,7 @@ #include "hvx-types.h" #include "hvx-copy.h" +#include "hvx-repl.h" #include "hvx-scale.h" #include "hvx-exp.h" #include "hvx-inverse.h" diff --git a/ggml/src/ggml-hexagon/htp/main.c b/ggml/src/ggml-hexagon/htp/main.c index f58347304b..883a31d616 100644 --- a/ggml/src/ggml-hexagon/htp/main.c +++ b/ggml/src/ggml-hexagon/htp/main.c @@ -210,7 +210,7 @@ AEEResult htp_iface_close(remote_handle64 handle) { return AEE_SUCCESS; } -AEEResult htp_iface_mmap(remote_handle64 handle, uint32 fd, uint32 size, uint32 pinned) { +AEEResult htp_iface_mmap(remote_handle64 handle, uint32_t fd, uint32_t size) { struct htp_context * ctx = (struct htp_context *) handle; if (!ctx) { return AEE_EBADPARM; @@ -220,7 +220,6 @@ AEEResult htp_iface_mmap(remote_handle64 handle, uint32 fd, uint32 size, uint32 for (uint32_t i=0; immap[i]; if (m->fd == fd) { - m->pinned = pinned; return AEE_SUCCESS; } } @@ -229,7 +228,7 @@ AEEResult htp_iface_mmap(remote_handle64 handle, uint32 fd, uint32 size, uint32 for (uint32_t i=0; immap[i]; if (!m->size) { - FARF(HIGH, "mmap : fd %u size %u pinned %u", fd, size, pinned); + FARF(HIGH, "mmap : fd %u size %u", fd, size); #if __HVX_ARCH__ > 73 void *va = HAP_mmap2(NULL, size, HAP_PROT_READ | HAP_PROT_WRITE, 0, fd, 0); #else @@ -248,7 +247,6 @@ AEEResult htp_iface_mmap(remote_handle64 handle, uint32 fd, uint32 size, uint32 m->base = (uint64_t) va; m->fd = fd; m->size = size; - m->pinned = pinned; return AEE_SUCCESS; } @@ -275,7 +273,6 @@ AEEResult htp_iface_munmap(remote_handle64 handle, uint32 fd) { m->size = 0; m->base = NULL; m->fd = -1; - m->pinned = 0; } } @@ -358,7 +355,7 @@ static void vtcm_free(struct htp_context * ctx) { static void htp_packet_callback(dspqueue_t queue, int error, void * context); static void htp_error_callback(dspqueue_t queue, int error, void * context); -AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx, uint32 use_hmx) { +AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx, uint32 use_hmx, uint64_t max_vmem) { struct htp_context * ctx = (struct htp_context *) handle; if (!ctx) { @@ -376,12 +373,12 @@ AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_que htp_error_callback, // Error callback; no errors expected on the DSP (void *) ctx, // Callback context &ctx->queue); - if (err) { FARF(ERROR, "Queue import failed with 0x%08x", (unsigned) err); return err; } + ctx->max_vmem = max_vmem; ctx->thread_id = qurt_thread_get_id(); ctx->thread_prio = qurt_thread_get_priority(ctx->thread_id); @@ -545,6 +542,8 @@ static int execute_op(struct htp_ops_context * octx) { case HTP_OP_UNARY_SIGMOID: case HTP_OP_UNARY_NEG: case HTP_OP_UNARY_EXP: + case HTP_OP_UNARY_TANH: + case HTP_OP_L2_NORM: return op_unary(octx); case HTP_OP_UNARY_SILU: @@ -596,6 +595,9 @@ static int execute_op(struct htp_ops_context * octx) { case HTP_OP_SOLVE_TRI: return op_solve_tri(octx); + case HTP_OP_GATED_DELTA_NET: + return op_gated_delta_net(octx); + case HTP_OP_INVALID: break; @@ -622,8 +624,8 @@ static inline bool reuse_buf(struct htp_context *ctx, uint32_t *m_reuse, struct } static inline void drop_mmap(struct htp_context *ctx, struct htp_mmap *m) { - if (m->size && !m->pinned) { - FARF(HIGH, "unmap : fd %u base %p size %u pinned %u", m->fd, (void*) m->base, (uint32_t) m->size, m->pinned); + if (m->size) { + FARF(HIGH, "unmap : fd %u base %p size %u", m->fd, (void*) m->base, (uint32_t) m->size); #if __HVX_ARCH__ > 73 HAP_munmap2((void *) m->base, m->size); #else @@ -660,9 +662,8 @@ static inline void mmap_buf(struct htp_context *ctx, struct htp_buf_desc *b) { m->base = b->base = (uint64_t) va; m->fd = b->fd; m->size = b->size; - m->pinned = 0; - FARF(HIGH, "mmap : fd %u base %p size %u pinned %u", m->fd, (void*) m->base, (uint32_t) m->size, m->pinned); + FARF(HIGH, "mmap : fd %u base %p size %u", m->fd, (void*) m->base, (uint32_t) m->size); return; } } @@ -672,8 +673,8 @@ static void prep_op_bufs(struct htp_context *ctx, struct htp_buf_desc *bufs, uin uint32_t m_reuse = 0; // mmap reuse mask (index from ctx->mmap array) uint32_t b_reuse = 0; // buf reuse count - size_t m_vmem = 0; // mapped vmem - size_t e_vmem = 0; // extra vmem + uint64_t m_vmem = 0; // mapped vmem + uint64_t e_vmem = 0; // extra vmem // See what we can reuse for (uint32_t i=0; i < n_bufs; i++) { @@ -687,9 +688,10 @@ static void prep_op_bufs(struct htp_context *ctx, struct htp_buf_desc *bufs, uin // See how much vmem we have mmaped right now for (uint32_t i=0; immap[i].size; } - FARF(HIGH, "prep-bufs : pass1 mmap-vmem %zu extra-vmem %zu n-bufs %u b-reuse %u", m_vmem, e_vmem, n_bufs, b_reuse); + FARF(HIGH, "prep-bufs : pass1 mmap-vmem %zu extra-vmem %zu max-vmem %zu : n-bufs %u b-reuse %u", + (size_t) m_vmem, (size_t) e_vmem, (size_t) ctx->max_vmem, n_bufs, b_reuse); - if ((m_vmem + e_vmem) > HTP_OP_MAX_VMEM) { + if ((m_vmem + e_vmem) > ctx->max_vmem) { // Drop unused mappings for (uint32_t i=0; i < HTP_MAX_MMAPS; i++) { bool used = m_reuse & (1< 32 but not 32-aligned, we split into - // HMX (first m_hmx = M & ~31 rows) + HVX (remaining m_tail rows). - // When M <= 32 and not 32-aligned, fall back entirely to HVX. + // M alignment: Use HMX when M >= 32, the last partial tile (m_total % 32 rows) + // is handled by HMX itself; when M < 32 fall back to HVX. const int m_total = (int) src1->ne[1]; - const int m_tail = m_total % 32; - const int m_hmx = m_total - m_tail; + const int m_hmx = m_total & ~31; // 0 when M < 32 if (m_hmx == 0) { return op_matmul_hvx(octx); @@ -3009,7 +3007,6 @@ int op_matmul(struct htp_ops_context * octx) { int k = (int) src0->ne[0]; // inner dimension int n = (int) src0->ne[1]; // weight columns - // --- Phase 1: HMX on the first m_hmx (32-aligned) rows --- int ret = -1; // Row strides in elements. For compact tensors these equal k; for @@ -3027,7 +3024,7 @@ int op_matmul(struct htp_ops_context * octx) { .dst = (float *) dst->data, .activation = (float *) src1->data, .permuted_weight = (const __fp16 *) src0->data, - .m = m_hmx, + .m = m_total, .k = k, .n = n, .act_stride = act_stride, @@ -3048,12 +3045,12 @@ int op_matmul(struct htp_ops_context * octx) { } else { ret = hmx_mat_mul_permuted_w16a32(octx->ctx, (float*) dst->data, (float*) src1->data, (const __fp16 *) src0->data, - m_hmx, k, n, act_stride, wgt_stride); + m_total, k, n, act_stride, wgt_stride); } } else { ret = hmx_mat_mul_permuted_qk_0_d16a32(octx->ctx, (float*) dst->data, (float*) src1->data, (const uint8_t *) src0->data, - m_hmx, k, n, (int) src0->type); + m_total, k, n, (int) src0->type); } if (ret != 0) { @@ -3061,27 +3058,6 @@ int op_matmul(struct htp_ops_context * octx) { return op_matmul(octx); } - // --- Phase 2: HVX on the remaining m_tail rows --- - if (m_tail > 0) { - // copy of src1 and dst - struct htp_tensor src1_tail = *src1; - struct htp_tensor dst_tail = *dst; - - src1_tail.ne[1] = m_tail; // only tail rows - dst_tail.ne[1] = m_tail; // only tail rows - - // Offset activation and dst pointers past the HMX-processed rows. - // Use nb[1] (row stride in bytes) to compute the byte offset. - src1_tail.data += (uint32_t) m_hmx * src1->nb[1]; - dst_tail.data += (uint32_t) m_hmx * dst->nb[1]; - - octx->src[1] = &src1_tail; - octx->dst = &dst_tail; - - FARF(HIGH, "hmx-matmul: HVX tail m_tail %d src1 %p dst %p", m_tail, (void *) src1_tail.data, (void *) dst_tail.data); - return op_matmul_hvx(octx); - } - return 0; #endif // HTP_HAS_HMX } diff --git a/ggml/src/ggml-hexagon/htp/unary-ops.c b/ggml/src/ggml-hexagon/htp/unary-ops.c index 03eccfd55e..d4ae89ee6f 100644 --- a/ggml/src/ggml-hexagon/htp/unary-ops.c +++ b/ggml/src/ggml-hexagon/htp/unary-ops.c @@ -26,8 +26,8 @@ struct htp_unary_context { const uint8_t * data_src0; uint8_t * data_dst; - size_t src0_row_size; - size_t dst_row_size; + size_t src0_data_row_size; // actual data bytes per row + size_t dst_data_row_size; // actual data bytes per row size_t src0_row_size_aligned; size_t dst_row_size_aligned; @@ -41,6 +41,40 @@ struct htp_unary_context { uint32_t nc; }; +// Convert flat row index to DDR byte offset using the tensor's actual strides. +// ir = i1 + ne1*(i2 + ne2*i3) => offset = i1*nb1 + i2*nb2 + i3*nb3 +static inline size_t unary_row_offset(uint32_t ir, + uint32_t ne1, uint32_t ne2, + size_t nb1, size_t nb2, size_t nb3) { + const uint32_t i1 = ir % ne1; + const uint32_t i2 = (ir / ne1) % ne2; + const uint32_t i3 = ir / (ne1 * ne2); + return i1 * nb1 + i2 * nb2 + i3 * nb3; +} +// Safe DMA block size from row `ir`: clamp to the tighter dim-1 slice +// boundary of src and dst so the nb1 stride stays valid for all rows. +static inline uint32_t unary_block_size(uint32_t ir, + uint32_t end_row, + uint32_t block, + bool src_contig, + bool dst_contig, + uint32_t src_ne1, + uint32_t dst_ne1) { + uint32_t limit = MIN(block, end_row - ir); + + if (!src_contig) { + const uint32_t src_slice_end = (ir / src_ne1 + 1) * src_ne1; + limit = MIN(limit, src_slice_end - ir); + } + + if (!dst_contig) { + const uint32_t dst_slice_end = (ir / dst_ne1 + 1) * dst_ne1; + limit = MIN(limit, dst_slice_end - ir); + } + + return limit; +} + #define htp_unary_preamble \ const uint32_t ne00 = src->ne[0]; \ const uint32_t ne01 = src->ne[1]; \ @@ -264,6 +298,96 @@ static void softplus_f32(const float * restrict src, } } +// --- L2_NORM HVX kernel --- +// Computes y[i] = x[i] / fmax(sqrt(sum(x[j]^2)), epsilon) for each row. +// scale = 1/fmax(sqrt(sum), epsilon) is computed entirely in HVX registers +// using rsqrt + inverse to avoid scalar extraction. +static void hvx_fast_l2_norm_f32(const uint8_t * restrict src, + uint8_t * restrict dst, + uint8_t * restrict pad, + const int num_elems, + float epsilon) { + (void)pad; + + const HVX_Vector * restrict v_src = (HVX_Vector *) src; + HVX_Vector * restrict v_dst = (HVX_Vector *) dst; + + HVX_Vector sum_v = hvx_vec_splat_f32(0.0f); + + const int nvec = num_elems / VLEN_FP32; + const int nloe = num_elems % VLEN_FP32; + + #pragma unroll(4) + for (int i = 0; i < nvec; i++) { + HVX_Vector v1 = v_src[i]; + HVX_Vector sq = Q6_Vqf32_vmpy_VsfVsf(v1, v1); + sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, sq); + } + + // Include tail elements in the sum-of-squares using a predicate mask + if (nloe > 0) { + HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4); + HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]); + HVX_Vector sq = Q6_Vqf32_vmpy_VsfVsf(v1, v1); + sum_v = Q6_Vqf32_vadd_Vqf32Vqf32(sum_v, sq); + } + + // Compute scale = 1/fmax(sqrt(sum), epsilon) entirely in HVX registers. + // hvx_vec_rsqrt_f32 + hvx_vec_inverse_f32 avoids scalar extraction. + HVX_Vector sum_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(sum_v)); + HVX_Vector rsqrt_v = hvx_vec_rsqrt_f32(sum_sf); // 1/sqrt(sum) + HVX_Vector sqrt_v = hvx_vec_inverse_f32(rsqrt_v); // sqrt(sum) + HVX_Vector epsilon_v = hvx_vec_splat_f32(epsilon); + HVX_Vector denom_v = Q6_Vsf_vmax_VsfVsf(sqrt_v, epsilon_v); // fmax(sqrt(sum), epsilon) + HVX_Vector scale_v = hvx_vec_inverse_f32(denom_v); // 1/fmax(sqrt(sum), epsilon) + + #pragma unroll(4) + for (int i = 0; i < nvec; i++) { + HVX_Vector v1 = v_src[i]; + v_dst[i] = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(v1, scale_v)); + } + + if (nloe > 0) { + HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe * 4); + HVX_Vector v1 = Q6_V_vand_QV(bmask, v_src[nvec]); + HVX_Vector result = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(v1, scale_v)); + hvx_vec_store_a(&v_dst[nvec], nloe * 4, result); + } +} + +static void l2_norm_f32(const float * restrict src, + float * restrict dst, + uint8_t * restrict spad, + const uint32_t num_rows, + const uint32_t row_elems, + const size_t row_size, + int32_t * op_params) { + float epsilon = 0.f; + memcpy(&epsilon, op_params, sizeof(float)); + + for (uint32_t ir = 0; ir < num_rows; ir++) { + const float * restrict src_f = (const float *)((const uint8_t *)src + (ir * row_size)); + float * restrict dst_f = (float *)((uint8_t *)dst + (ir * row_size)); + + hvx_fast_l2_norm_f32((const uint8_t *)src_f, (uint8_t *)dst_f, spad, row_elems, epsilon); + } +} + +static void tanh_f32(const float * restrict src, + float * restrict dst, + uint8_t * restrict spad, + const uint32_t num_rows, + const uint32_t row_elems, + const size_t row_size, + int32_t * op_params) { + for (uint32_t ir = 0; ir < num_rows; ir++) { + const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size); + uint8_t * restrict dst_local = (uint8_t *)dst + (ir * row_size); + + hvx_tanh_f32_aa(dst_local, src_local, row_elems); + } +} + static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * data) { const struct htp_unary_context * uctx = (const struct htp_unary_context *) data; struct htp_ops_context * octx = uctx->octx; @@ -276,8 +400,8 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * int32_t * op_params = octx->op_params; uint32_t src0_nrows_per_thread = uctx->src0_nrows_per_thread; - const size_t src0_row_size = uctx->src0_row_size; - const size_t dst_row_size = uctx->dst_row_size; + const size_t src0_data_row_size = uctx->src0_data_row_size; + const size_t dst_data_row_size = uctx->dst_data_row_size; const size_t src0_row_size_aligned = uctx->src0_row_size_aligned; const size_t dst_row_size_aligned = uctx->dst_row_size_aligned; @@ -303,7 +427,16 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * size_t src0_spad_half_size = uctx->src0_spad_half_size; size_t dst_spad_half_size = uctx->dst_spad_half_size; - const int BLOCK = uctx->block; + // Non-contiguous tensors have gaps at dim-2/3 boundaries that a single-stride + // 2D DMA descriptor cannot span. Clamp BLOCK to ne1 (one dim-1 slice) so every + // transfer stays within a nb1-uniform region. Skipped for contiguous tensors. + const bool src0_contig = (nb02 == (size_t)ne01 * nb01) && + (nb03 == (size_t)ne02 * nb02); + const bool dst_contig = (nb2 == (size_t)ne1 * nb1) && + (nb3 == (size_t)ne2 * nb2); + const uint32_t src0_max_block = src0_contig ? uctx->block : MIN((uint32_t)uctx->block, ne01); + const uint32_t dst_max_block = dst_contig ? uctx->block : MIN((uint32_t)uctx->block, ne1); + const uint32_t BLOCK = MIN(src0_max_block, dst_max_block); if (BLOCK == 0) { FARF(ERROR, "unary-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n", octx->src0_spad.size_per_thread, src0_row_size_aligned); @@ -312,21 +445,23 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * dma_queue * dma_queue = octx->ctx->dma[ith]; - for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) { - const uint32_t block_size = MIN(BLOCK, src0_end_row - ir); + for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; spad_idx++) { + const uint32_t block_size = unary_block_size(ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1); // Dummy DMA transation for sequencing (interleaving dst,src,dst,...) - dma_queue_push_vtcm_to_ddr(dma_queue, + dma_queue_push(dma_queue, dma_make_ptr(data_dst, dst_spad_data + (spad_idx * dst_spad_half_size)), - dst_row_size, dst_row_size_aligned, 0); + nb1, dst_row_size_aligned, dst_data_row_size, 0); - dma_queue_push_ddr_to_vtcm(dma_queue, - dma_make_ptr(src0_spad_data + (spad_idx * src0_spad_half_size), data_src + (ir * src0_row_size)), - src0_row_size_aligned, src0_row_size, block_size); + const size_t src0_off = unary_row_offset(ir, ne01, ne02, nb01, nb02, nb03); + dma_queue_push(dma_queue, + dma_make_ptr(src0_spad_data + (spad_idx * src0_spad_half_size), data_src + src0_off), + src0_row_size_aligned, nb01, src0_data_row_size, block_size); + ir += block_size; } - for (uint32_t ir = src0_start_row; ir < src0_end_row; ir += BLOCK) { - const uint32_t block_size = MIN(BLOCK, src0_end_row - ir); + for (uint32_t ir = src0_start_row; ir < src0_end_row; ) { + const uint32_t block_size = unary_block_size(ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1); float * dst_spad = (float *) dma_queue_pop(dma_queue).src; float * src0_spad = (float *) dma_queue_pop(dma_queue).dst; @@ -357,22 +492,35 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * case HTP_OP_UNARY_SOFTPLUS: softplus_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); break; + case HTP_OP_UNARY_TANH: + tanh_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); + break; + case HTP_OP_L2_NORM: + l2_norm_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); + break; default: break; } - dma_queue_push_vtcm_to_ddr(dma_queue, - dma_make_ptr(data_dst + (ir * dst_row_size), dst_spad), - dst_row_size, dst_row_size_aligned, block_size); + const size_t dst_off = unary_row_offset(ir, ne1, ne2, nb1, nb2, nb3); + dma_queue_push(dma_queue, + dma_make_ptr(data_dst + dst_off, dst_spad), + nb1, dst_row_size_aligned, dst_data_row_size, block_size); // prefetch N+2 loop iteration if any - const uint32_t pref_block = (ir + BLOCK * 2); - if (pref_block < src0_end_row) { - const uint32_t pref_block_size = MIN(BLOCK, src0_end_row - pref_block); - dma_queue_push_ddr_to_vtcm(dma_queue, - dma_make_ptr(src0_spad, data_src + (pref_block * src0_row_size)), - src0_row_size_aligned, src0_row_size, pref_block_size); + const uint32_t next_ir = ir + block_size; + if (next_ir < src0_end_row) { + const uint32_t next_block_size = unary_block_size(next_ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1); + const uint32_t pref_ir = next_ir + next_block_size; + if (pref_ir < src0_end_row) { + const uint32_t pref_block_size = unary_block_size(pref_ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1); + const size_t src0_pref_off = unary_row_offset(pref_ir, ne01, ne02, nb01, nb02, nb03); + dma_queue_push(dma_queue, + dma_make_ptr(src0_spad, data_src + src0_pref_off), + src0_row_size_aligned, nb01, src0_data_row_size, pref_block_size); + } } + ir += block_size; } dma_queue_flush(dma_queue); @@ -417,7 +565,12 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) { case HTP_OP_UNARY_SOFTPLUS: op_type = "softplus-f32"; break; - + case HTP_OP_UNARY_TANH: + op_type = "tanh-f32"; + break; + case HTP_OP_L2_NORM: + op_type = "l2norm-f32"; + break; default: FARF(ERROR, "Unsupported unary Op %u\n", octx->op); return HTP_STATUS_NO_SUPPORT; @@ -426,11 +579,11 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) { const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3]; const uint32_t n_threads = MIN(octx->n_threads, src0_nrows); - const size_t src0_row_size = src0->nb[1]; - const size_t dst_row_size = dst->nb[1]; + const size_t src0_data_row_size = src0->ne[0] * sizeof(float); + const size_t dst_data_row_size = dst->ne[0] * sizeof(float); - const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN); - const size_t dst_row_size_aligned = hex_round_up(dst_row_size, VLEN); + const size_t src0_row_size_aligned = hex_round_up(src0_data_row_size, VLEN); + const size_t dst_row_size_aligned = hex_round_up(dst_data_row_size, VLEN); // VTCM scratchpads for all tensors // N rows per thread, padded to HVX vector size @@ -468,8 +621,8 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) { .data_src0 = (const uint8_t *)src0->data, .data_dst = (uint8_t *)dst->data, - .src0_row_size = src0_row_size, - .dst_row_size = dst_row_size, + .src0_data_row_size = src0_data_row_size, + .dst_data_row_size = dst_data_row_size, .src0_row_size_aligned = src0_row_size_aligned, .dst_row_size_aligned = dst_row_size_aligned, diff --git a/ggml/src/ggml-hexagon/htp/vtcm-utils.h b/ggml/src/ggml-hexagon/htp/vtcm-utils.h new file mode 100644 index 0000000000..b129fb74e3 --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/vtcm-utils.h @@ -0,0 +1,16 @@ +#ifndef VTCM_UTILS_H +#define VTCM_UTILS_H + +#include "hex-utils.h" + +#include +#include +#include + +static inline uint8_t *vtcm_seq_alloc(uint8_t **vtcm_ptr, size_t size) { + uint8_t *p = *vtcm_ptr; + *vtcm_ptr += size; + return p; +} + +#endif // VTCM_UTILS_H diff --git a/ggml/src/ggml-metal/ggml-metal-device.cpp b/ggml/src/ggml-metal/ggml-metal-device.cpp index d211bf79f1..f0147af84c 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.cpp +++ b/ggml/src/ggml-metal/ggml-metal-device.cpp @@ -647,19 +647,30 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_solve_tri(ggml_m return res; } -ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_ext(ggml_metal_library_t lib, ggml_type tsrc0, ggml_type tsrc1, int nsg, int nxpsg, int r1ptg) { +ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_ext(ggml_metal_library_t lib, const ggml_tensor * op, int nsg, int nxpsg, int r1ptg) { char base[256]; char name[256]; + const ggml_type tsrc0 = op->src[0]->type; + const ggml_type tsrc1 = op->src[1]->type; + const int ne12 = op->src[1]->ne[2]; + const int r2 = ne12 / op->src[0]->ne[2]; + const int r3 = op->src[1]->ne[3] / op->src[0]->ne[3]; + + GGML_ASSERT(ne12 <= INT16_MAX && r2 <= INT16_MAX && r3 <= INT16_MAX); + snprintf(base, 256, "kernel_mul_mv_ext_%s_%s_r1_%d", ggml_type_name(tsrc0), ggml_type_name(tsrc1), r1ptg); - snprintf(name, 256, "%s_nsg=%d_nxpsg=%d", base, nsg, nxpsg); + snprintf(name, 256, "%s_nsg=%d_nxpsg=%d_ne12=%d_r2=%d_r3=%d", base, nsg, nxpsg, ne12, r2, r3); ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name); if (!res.pipeline) { ggml_metal_cv_t cv = ggml_metal_cv_init(); - ggml_metal_cv_set_int16(cv, nsg, FC_MUL_MV + 0); - ggml_metal_cv_set_int16(cv, nxpsg, FC_MUL_MV + 1); + ggml_metal_cv_set_int16(cv, nsg, FC_MUL_MV + 0); + ggml_metal_cv_set_int16(cv, nxpsg, FC_MUL_MV + 1); + ggml_metal_cv_set_int16(cv, (int16_t) ne12, FC_MUL_MV + 2); + ggml_metal_cv_set_int16(cv, (int16_t) r2, FC_MUL_MV + 3); + ggml_metal_cv_set_int16(cv, (int16_t) r3, FC_MUL_MV + 4); res = ggml_metal_library_compile_pipeline(lib, base, name, cv); @@ -687,8 +698,15 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm(ggml_meta ? (op->ne[0] % NRA != 0 || op->ne[1] % NRB != 0) : (op->ne[0] % 64 != 0 || op->ne[1] % 32 != 0); + GGML_ASSERT(op->src[1]->ne[2] <= INT16_MAX && op->src[1]->ne[3] <= INT16_MAX); + const int16_t ne12 = (int16_t) op->src[1]->ne[2]; + const int16_t ne13 = (int16_t) op->src[1]->ne[3]; + const int16_t r2 = (int16_t) (ne12 / op->src[0]->ne[2]); + const int16_t r3 = (int16_t) (ne13 / op->src[0]->ne[3]); + snprintf(base, 256, "kernel_mul_mm_%s_%s", ggml_type_name(tsrc0), ggml_type_name(tsrc1)); - snprintf(name, 256, "%s_bci=%d_bco=%d", base, bc_inp, bc_out); + snprintf(name, 256, "%s_bci=%d_bco=%d_ne12=%d_ne13=%d_r2=%d_r3=%d", + base, bc_inp, bc_out, ne12, ne13, r2, r3); ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name); if (!res.pipeline) { @@ -696,6 +714,10 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm(ggml_meta ggml_metal_cv_set_bool(cv, bc_inp, FC_MUL_MM + 0); ggml_metal_cv_set_bool(cv, bc_out, FC_MUL_MM + 1); + ggml_metal_cv_set_int16(cv, ne12, FC_MUL_MM + 2); + ggml_metal_cv_set_int16(cv, ne13, FC_MUL_MM + 3); + ggml_metal_cv_set_int16(cv, r2, FC_MUL_MM + 4); + ggml_metal_cv_set_int16(cv, r3, FC_MUL_MM + 5); res = ggml_metal_library_compile_pipeline(lib, base, name, cv); @@ -877,14 +899,21 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv(ggml_meta } }; + GGML_ASSERT(ne12 <= INT16_MAX && ne13 <= INT16_MAX); + const int16_t r2 = (int16_t) (ne12 / ne02); + const int16_t r3 = (int16_t) (ne13 / ne03); + snprintf(base, 256, "kernel_mul_mv_%s_%s%s", ggml_type_name(tsrc0), ggml_type_name(tsrc1), suffix); - snprintf(name, 256, "%s_nsg=%d", base, nsg); + snprintf(name, 256, "%s_nsg=%d_ne12=%d_r2=%d_r3=%d", base, nsg, ne12, r2, r3); ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name); if (!res.pipeline) { ggml_metal_cv_t cv = ggml_metal_cv_init(); - ggml_metal_cv_set_int16(cv, nsg, FC_MUL_MV + 0); + ggml_metal_cv_set_int16(cv, nsg, FC_MUL_MV + 0); + ggml_metal_cv_set_int16(cv, (int16_t) ne12, FC_MUL_MV + 2); + ggml_metal_cv_set_int16(cv, r2, FC_MUL_MV + 3); + ggml_metal_cv_set_int16(cv, r3, FC_MUL_MV + 4); res = ggml_metal_library_compile_pipeline(lib, base, name, cv); @@ -1102,6 +1131,9 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_id(ggml_m ggml_metal_cv_t cv = ggml_metal_cv_init(); ggml_metal_cv_set_int16(cv, nsg, FC_MUL_MV + 0); + ggml_metal_cv_set_int16(cv, 1, FC_MUL_MV + 2); + ggml_metal_cv_set_int16(cv, 1, FC_MUL_MV + 3); + ggml_metal_cv_set_int16(cv, 1, FC_MUL_MV + 4); res = ggml_metal_library_compile_pipeline(lib, base, name, cv); diff --git a/ggml/src/ggml-metal/ggml-metal-device.h b/ggml/src/ggml-metal/ggml-metal-device.h index a6c1dab551..1f212a92f9 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.h +++ b/ggml/src/ggml-metal/ggml-metal-device.h @@ -129,7 +129,7 @@ struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_ssm_scan struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_rwkv (ggml_metal_library_t lib, const struct ggml_tensor * op); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_gated_delta_net (ggml_metal_library_t lib, const struct ggml_tensor * op); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_solve_tri (ggml_metal_library_t lib, const struct ggml_tensor * op); -struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_ext (ggml_metal_library_t lib, enum ggml_type tsrc0, enum ggml_type tsrc1, int nsg, int nxpsg, int r1ptg); +struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_ext (ggml_metal_library_t lib, const struct ggml_tensor * op, int nsg, int nxpsg, int r1ptg); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm (ggml_metal_library_t lib, const struct ggml_tensor * op); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv (ggml_metal_library_t lib, const struct ggml_tensor * op); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm_id_map0 (ggml_metal_library_t lib, int ne02, int ne20); @@ -282,6 +282,7 @@ bool ggml_metal_buffer_is_shared(ggml_metal_buffer_t buf); void ggml_metal_buffer_memset_tensor(ggml_metal_buffer_t buf, struct ggml_tensor * tensor, uint8_t value, size_t offset, size_t size); void ggml_metal_buffer_set_tensor (ggml_metal_buffer_t buf, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size); void ggml_metal_buffer_get_tensor (ggml_metal_buffer_t buf, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size); +bool ggml_metal_buffer_cpy_tensor (ggml_metal_buffer_t buf, const struct ggml_tensor * src, struct ggml_tensor * dst); void ggml_metal_buffer_clear (ggml_metal_buffer_t buf, uint8_t value); // finds the Metal buffer that contains the tensor data on the GPU device diff --git a/ggml/src/ggml-metal/ggml-metal-device.m b/ggml/src/ggml-metal/ggml-metal-device.m index fe90aafe7b..fab7891c00 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.m +++ b/ggml/src/ggml-metal/ggml-metal-device.m @@ -1,6 +1,7 @@ #import "ggml-metal-device.h" #import "ggml-impl.h" +#import "ggml-backend-impl.h" #include @@ -1737,6 +1738,47 @@ void ggml_metal_buffer_get_tensor(ggml_metal_buffer_t buf, const struct ggml_ten } } +bool ggml_metal_buffer_cpy_tensor(ggml_metal_buffer_t buf_dst, const struct ggml_tensor * src, struct ggml_tensor * dst) { + ggml_metal_buffer_t buf_src = (ggml_metal_buffer_t)src->buffer->context; + + const size_t size = ggml_nbytes(src); + + // if both buffers are shared, we can use memcpy directly + if (buf_dst->is_shared && buf_src->is_shared) { + memcpy(dst->data, src->data, size); + return true; + } + + // for private buffers, we need to use Metal blit commands + @autoreleasepool { + struct ggml_metal_buffer_id bid_src = ggml_metal_buffer_get_id(buf_src, src); + struct ggml_metal_buffer_id bid_dst = ggml_metal_buffer_get_id(buf_dst, dst); + + if (bid_src.metal == nil || bid_dst.metal == nil) { + return false; + } + + id cmd_buf = [buf_dst->dev->mtl_queue commandBufferWithUnretainedReferences]; + + { + id encoder = [cmd_buf blitCommandEncoder]; + + [encoder copyFromBuffer:bid_src.metal + sourceOffset:bid_src.offs + toBuffer:bid_dst.metal + destinationOffset:bid_dst.offs + size:size]; + + [encoder endEncoding]; + } + + [cmd_buf commit]; + [cmd_buf waitUntilCompleted]; + } + + return true; +} + void ggml_metal_buffer_clear(ggml_metal_buffer_t buf, uint8_t value) { if (buf->is_shared) { memset(buf->all_data, value, buf->all_size); diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp index 5fa162c875..a114391c2e 100644 --- a/ggml/src/ggml-metal/ggml-metal-ops.cpp +++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp @@ -2120,7 +2120,7 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) { GGML_ABORT("unsupported ne11"); }; - auto pipeline = ggml_metal_library_get_pipeline_mul_mv_ext(lib, op->src[0]->type, op->src[1]->type, nsg, nxpsg, r1ptg); + auto pipeline = ggml_metal_library_get_pipeline_mul_mv_ext(lib, op, nsg, nxpsg, r1ptg); ggml_metal_kargs_mul_mv_ext args = { /*.ne00 =*/ ne00, diff --git a/ggml/src/ggml-metal/ggml-metal.cpp b/ggml/src/ggml-metal/ggml-metal.cpp index 6a836e4590..a1003b3acf 100644 --- a/ggml/src/ggml-metal/ggml-metal.cpp +++ b/ggml/src/ggml-metal/ggml-metal.cpp @@ -17,6 +17,9 @@ // note: can be overridden with GGML_METAL_DEVICES env to simulate virtual devices static int g_devices = 1; +// forward declaration +static bool ggml_backend_buffer_is_metal(ggml_backend_buffer_t buffer); + //////////////////////////////////////////////////////////////////////////////// // backend interface //////////////////////////////////////////////////////////////////////////////// @@ -68,11 +71,11 @@ static bool ggml_backend_metal_buffer_shared_cpy_tensor(ggml_backend_buffer_t bu GGML_ASSERT(ggml_metal_buffer_is_shared(ctx)); - GGML_UNUSED(buffer); - GGML_UNUSED(src); - GGML_UNUSED(dst); + if (!ggml_backend_buffer_is_metal(src->buffer)) { + return false; + } - return false; + return ggml_metal_buffer_cpy_tensor(ctx, src, dst); } static void ggml_backend_metal_buffer_shared_clear(ggml_backend_buffer_t buffer, uint8_t value) { @@ -84,17 +87,17 @@ static void ggml_backend_metal_buffer_shared_clear(ggml_backend_buffer_t buffer, } static ggml_backend_buffer_i ggml_backend_metal_buffer_shared_i = { - /* .free_buffer = */ ggml_backend_metal_buffer_shared_free_buffer, - /* .get_base = */ ggml_backend_metal_buffer_shared_get_base, - /* .init_tensor = */ NULL, - /* .memset_tensor = */ ggml_backend_metal_buffer_shared_memset_tensor, - /* .set_tensor = */ ggml_backend_metal_buffer_shared_set_tensor, - /* .get_tensor = */ ggml_backend_metal_buffer_shared_get_tensor, - /* .set_tensor_2d = */ NULL, - /* .get_tensor_2d = */ NULL, - /* .cpy_tensor = */ ggml_backend_metal_buffer_shared_cpy_tensor, - /* .clear = */ ggml_backend_metal_buffer_shared_clear, - /* .reset = */ NULL, + /* .free_buffer = */ ggml_backend_metal_buffer_shared_free_buffer, + /* .get_base = */ ggml_backend_metal_buffer_shared_get_base, + /* .init_tensor = */ NULL, + /* .memset_tensor = */ ggml_backend_metal_buffer_shared_memset_tensor, + /* .set_tensor = */ ggml_backend_metal_buffer_shared_set_tensor, + /* .get_tensor = */ ggml_backend_metal_buffer_shared_get_tensor, + /* .set_tensor_2d = */ NULL, + /* .get_tensor_2d = */ NULL, + /* .cpy_tensor = */ ggml_backend_metal_buffer_shared_cpy_tensor, + /* .clear = */ ggml_backend_metal_buffer_shared_clear, + /* .reset = */ NULL, }; // private buffer @@ -144,11 +147,11 @@ static bool ggml_backend_metal_buffer_private_cpy_tensor(ggml_backend_buffer_t b GGML_ASSERT(!ggml_metal_buffer_is_shared(ctx)); - GGML_UNUSED(buffer); - GGML_UNUSED(src); - GGML_UNUSED(dst); + if (!ggml_backend_buffer_is_metal(src->buffer)) { + return false; + } - return false; + return ggml_metal_buffer_cpy_tensor(ctx, src, dst); } static void ggml_backend_metal_buffer_private_clear(ggml_backend_buffer_t buffer, uint8_t value) { @@ -160,17 +163,17 @@ static void ggml_backend_metal_buffer_private_clear(ggml_backend_buffer_t buffer } static ggml_backend_buffer_i ggml_backend_metal_buffer_private_i = { - /* .free_buffer = */ ggml_backend_metal_buffer_private_free_buffer, - /* .get_base = */ ggml_backend_metal_buffer_private_get_base, - /* .init_tensor = */ NULL, - /* .memset_tensor = */ ggml_backend_metal_buffer_private_memset_tensor, - /* .set_tensor = */ ggml_backend_metal_buffer_private_set_tensor, - /* .get_tensor = */ ggml_backend_metal_buffer_private_get_tensor, - /* .get_tensor_2d_async = */ NULL, - /* .set_tensor_2d_async = */ NULL, - /* .cpy_tensor = */ ggml_backend_metal_buffer_private_cpy_tensor, - /* .clear = */ ggml_backend_metal_buffer_private_clear, - /* .reset = */ NULL, + /* .free_buffer = */ ggml_backend_metal_buffer_private_free_buffer, + /* .get_base = */ ggml_backend_metal_buffer_private_get_base, + /* .init_tensor = */ NULL, + /* .memset_tensor = */ ggml_backend_metal_buffer_private_memset_tensor, + /* .set_tensor = */ ggml_backend_metal_buffer_private_set_tensor, + /* .get_tensor = */ ggml_backend_metal_buffer_private_get_tensor, + /* .set_tensor_2d = */ NULL, + /* .get_tensor_2d = */ NULL, + /* .cpy_tensor = */ ggml_backend_metal_buffer_private_cpy_tensor, + /* .clear = */ ggml_backend_metal_buffer_private_clear, + /* .reset = */ NULL, }; static bool ggml_backend_buffer_is_metal(ggml_backend_buffer_t buffer) { @@ -567,8 +570,8 @@ static ggml_backend_i ggml_backend_metal_i = { /* .free = */ ggml_backend_metal_free, /* .set_tensor_async = */ ggml_backend_metal_set_tensor_async, /* .get_tensor_async = */ ggml_backend_metal_get_tensor_async, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ ggml_backend_metal_cpy_tensor_async, // only needed for multi-GPU setups /* .synchronize = */ ggml_backend_metal_synchronize, /* .graph_plan_create = */ NULL, diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal index c372eaedea..3882b95584 100644 --- a/ggml/src/ggml-metal/ggml-metal.metal +++ b/ggml/src/ggml-metal/ggml-metal.metal @@ -3353,6 +3353,9 @@ static inline void helper_mv_reduce_and_write( constant short FC_mul_mv_nsg [[function_constant(FC_MUL_MV + 0)]]; constant short FC_mul_mv_nxpsg [[function_constant(FC_MUL_MV + 1)]]; +constant short FC_mul_mv_ne12 [[function_constant(FC_MUL_MV + 2)]]; +constant short FC_mul_mv_r2 [[function_constant(FC_MUL_MV + 3)]]; +constant short FC_mul_mv_r3 [[function_constant(FC_MUL_MV + 4)]]; template void mul_vec_q_n_f32_impl( @@ -3376,10 +3379,10 @@ void mul_vec_q_n_f32_impl( const int r1 = tgpig.y; const int im = tgpig.z; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - //const uint64_t offset0 = r0*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + //const uint64_t offset0 = r0*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; //device const block_q_type * x = (device const block_q_type *) (src0 + offset0); @@ -3388,7 +3391,7 @@ void mul_vec_q_n_f32_impl( // pointers to src0 rows device const block_q_type * ax[NR0]; FOR_UNROLL (int row = 0; row < NR0; ++row) { - const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; ax[row] = (device const block_q_type *) ((device char *) src0 + offset0); } @@ -3462,8 +3465,8 @@ void kernel_mul_mv_q1_0_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; const uint64_t offset1 = r1*args.nb11 + (i12)*args.nb12 + (i13)*args.nb13; @@ -3471,7 +3474,7 @@ void kernel_mul_mv_q1_0_f32_impl( device const block_q1_0 * ax[nr0]; for (int row = 0; row < nr0; ++row) { - const uint64_t offset0 = (first_row + row)*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = (first_row + row)*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; ax[row] = (device const block_q1_0 *) ((device char *) src0 + offset0); } @@ -3590,10 +3593,10 @@ void kernel_mul_mv_q8_0_f32_impl( const int r1 = tgpig.y; const int im = tgpig.z; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - //const uint64_t offset0 = r0*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + //const uint64_t offset0 = r0*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; //device const block_q8_0 * x = (device const block_q8_0 *) (src0 + offset0); @@ -3602,7 +3605,7 @@ void kernel_mul_mv_q8_0_f32_impl( // pointers to src0 rows device const block_q8_0 * ax[NR0]; FOR_UNROLL (short row = 0; row < NR0; ++row) { - const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; ax[row] = (device const block_q8_0 *) ((device char *) src0 + offset0); } @@ -3682,10 +3685,10 @@ void kernel_mul_mv_ext_q4_f32_impl( const int i11 = tgpig.y*r1ptg; const int i1m = tgpig.z; - const int i12 = i1m%args.ne12; - const int i13 = i1m/args.ne12; + const int i12 = i1m%FC_mul_mv_ne12; + const int i13 = i1m/FC_mul_mv_ne12; - const uint64_t offset0 = i01*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = i01*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = i11*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const q_t * xq = (i01 < args.ne01) ? (device const q_t *) (src0 + offset0) + tx/chpb : (device const q_t *) src0; @@ -3785,10 +3788,10 @@ void kernel_mul_mv_ext_q4x4_f32_impl( const int i11 = tgpig.y*r1ptg; const int i1m = tgpig.z; - const int i12 = i1m%args.ne12; - const int i13 = i1m/args.ne12; + const int i12 = i1m%FC_mul_mv_ne12; + const int i13 = i1m/FC_mul_mv_ne12; - const uint64_t offset0 = i01*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = i01*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = i11*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const q_t * xq = (i01 < args.ne01) ? (device const q_t *) (src0 + offset0) + tx/chpb : (device const q_t *) src0; @@ -4000,10 +4003,10 @@ void kernel_mul_mv_t_t_impl( const int r1 = tgpig.y; const int im = tgpig.z; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - //const uint64_t offset0 = r0*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + //const uint64_t offset0 = r0*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; //device const T0 * x = (device const T0 *) (src0 + offset0); @@ -4012,7 +4015,7 @@ void kernel_mul_mv_t_t_impl( // pointers to src0 rows device const T0 * ax [NR0]; FOR_UNROLL (short row = 0; row < NR0; ++row) { - const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; ax[row] = (device const T0 *) ((device char *) src0 + offset0); } @@ -4122,10 +4125,10 @@ void kernel_mul_mv_t_t_4_impl( const int r1 = tgpig.y; const int im = tgpig.z; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - //const uint64_t offset0 = r0*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + //const uint64_t offset0 = r0*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const T1 * y = (device const T1 *) (src1 + offset1); @@ -4135,7 +4138,7 @@ void kernel_mul_mv_t_t_4_impl( device const T0 * ax [NR0]; device const T04 * ax4[NR0]; FOR_UNROLL (short row = 0; row < NR0; ++row) { - const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = (r0 + row)*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; ax [row] = (device const T0 *) ((device char *) src0 + offset0); ax4[row] = (device const T04 *) ((device char *) src0 + offset0); @@ -4239,10 +4242,10 @@ void kernel_mul_mv_t_t_short_impl( return; } - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = r0*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = r0*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; device const T0 * x = (device const T0 *) (src0 + offset0); @@ -7462,10 +7465,10 @@ void kernel_mul_mv_q2_K_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_q2_K * x = (device const block_q2_K *) (src0 + offset0); @@ -7567,10 +7570,10 @@ void kernel_mul_mv_q3_K_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_q3_K * x = (device const block_q3_K *) (src0 + offset0); @@ -7741,10 +7744,10 @@ void kernel_mul_mv_q4_K_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_q4_K * x = (device const block_q4_K *) (src0 + offset0); @@ -7853,10 +7856,10 @@ void kernel_mul_mv_q5_K_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_q5_K * x = (device const block_q5_K *) (src0 + offset0); @@ -7989,10 +7992,10 @@ void kernel_mul_mv_q6_K_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_q6_K * x = (device const block_q6_K *) (src0 + offset0); @@ -8094,10 +8097,10 @@ void kernel_mul_mv_iq2_xxs_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq2_xxs * x = (device const block_iq2_xxs *) (src0 + offset0); @@ -8202,10 +8205,10 @@ void kernel_mul_mv_iq2_xs_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq2_xs * x = (device const block_iq2_xs *) (src0 + offset0); @@ -8321,10 +8324,10 @@ void kernel_mul_mv_iq3_xxs_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq3_xxs * x = (device const block_iq3_xxs *) (src0 + offset0); @@ -8433,10 +8436,10 @@ void kernel_mul_mv_iq3_s_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq3_s * x = (device const block_iq3_s *) (src0 + offset0); @@ -8545,10 +8548,10 @@ void kernel_mul_mv_iq2_s_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq2_s * x = (device const block_iq2_s *) (src0 + offset0); @@ -8658,10 +8661,10 @@ void kernel_mul_mv_iq1_s_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq1_s * x = (device const block_iq1_s *) (src0 + offset0); @@ -8757,10 +8760,10 @@ void kernel_mul_mv_iq1_m_f32_impl( const int first_row = (r0 * NSG + sgitg) * nr0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq1_m * x = (device const block_iq1_m *) (src0 + offset0); @@ -8866,10 +8869,10 @@ void kernel_mul_mv_iq4_nl_f32_impl( const int first_row = (r0 * NSG + sgitg) * NR0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq4_nl * x = (device const block_iq4_nl *) (src0 + offset0); @@ -8975,10 +8978,10 @@ void kernel_mul_mv_iq4_xs_f32_impl( const int im = tgpig.z; const int first_row = (r0 * NSG + sgitg) * NR0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_iq4_xs * x = (device const block_iq4_xs *) (src0 + offset0); @@ -9086,10 +9089,10 @@ void kernel_mul_mv_mxfp4_f32_impl( const int first_row = (r0 * NSG + sgitg) * NR0; - const uint i12 = im%args.ne12; - const uint i13 = im/args.ne12; + const uint i12 = im%FC_mul_mv_ne12; + const uint i13 = im/FC_mul_mv_ne12; - const uint64_t offset0 = first_row*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = first_row*args.nb01 + (i12/FC_mul_mv_r2)*args.nb02 + (i13/FC_mul_mv_r3)*args.nb03; const uint64_t offset1 = r1*args.nb11 + (i12 )*args.nb12 + (i13 )*args.nb13; device const block_mxfp4 * x = (device const block_mxfp4 *) (src0 + offset0); @@ -9304,6 +9307,10 @@ kernel void kernel_diag_f32( constant bool FC_mul_mm_bc_inp [[function_constant(FC_MUL_MM + 0)]]; constant bool FC_mul_mm_bc_out [[function_constant(FC_MUL_MM + 1)]]; +constant short FC_mul_mm_ne12 [[function_constant(FC_MUL_MM + 2)]]; +constant short FC_mul_mm_ne13 [[function_constant(FC_MUL_MM + 3)]]; +constant short FC_mul_mm_r2 [[function_constant(FC_MUL_MM + 4)]]; +constant short FC_mul_mm_r3 [[function_constant(FC_MUL_MM + 5)]]; // each block_q contains 16*nl weights #ifdef GGML_METAL_HAS_TENSOR @@ -9330,11 +9337,11 @@ kernel void kernel_mul_mm( // Batch dimension handling const int im = tgpig.z; - const int i12 = im % args.ne12; - const int i13 = im / args.ne12; + const int i12 = im % FC_mul_mm_ne12; + const int i13 = im / FC_mul_mm_ne12; // Batch offsets for srcA and srcB - const uint64_t offset0 = (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = (i12/FC_mul_mm_r2)*args.nb02 + (i13/FC_mul_mm_r3)*args.nb03; // Tile dimensions constexpr int NRB = SZ_SIMDGROUP * N_MM_BLOCK_X * N_MM_SIMD_GROUP_X; @@ -9473,10 +9480,10 @@ kernel void kernel_mul_mm( short il = il0; - const int i12 = im%args.ne12; - const int i13 = im/args.ne12; + const int i12 = im % FC_mul_mm_ne12; + const int i13 = im / FC_mul_mm_ne12; - const uint64_t offset0 = (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03; + const uint64_t offset0 = (i12/FC_mul_mm_r2)*args.nb02 + (i13/FC_mul_mm_r3)*args.nb03; const short offset1 = il0/nl; device const block_q * x = (device const block_q *)(src0 + args.nb01*(r0 + lr0) + offset0) + offset1; diff --git a/ggml/src/ggml-opencl/CMakeLists.txt b/ggml/src/ggml-opencl/CMakeLists.txt index 5ed83eeb48..0b39c01137 100644 --- a/ggml/src/ggml-opencl/CMakeLists.txt +++ b/ggml/src/ggml-opencl/CMakeLists.txt @@ -66,8 +66,6 @@ set(GGML_OPENCL_KERNELS diag div gelu - gemv_noshuffle_general - gemv_noshuffle get_rows glu group_norm @@ -75,7 +73,6 @@ set(GGML_OPENCL_KERNELS im2col_f32 im2col_f16 mean - mul_mat_Ab_Bi_8x4 mul_mv_f16_f16 mul_mv_f16_f32_1row mul_mv_f16_f32_l4 @@ -105,8 +102,16 @@ set(GGML_OPENCL_KERNELS mul_mv_id_q8_0_f32_flat mul_mv_id_mxfp4_f32 mul_mv_id_mxfp4_f32_flat + gemm_moe_q4_0_f32_ns + gemv_moe_q4_0_f32_ns + gemm_moe_q4_1_f32_ns + gemv_moe_q4_1_f32_ns gemm_moe_mxfp4_f32 gemv_moe_mxfp4_f32 + gemm_moe_mxfp4_f32_ns + gemv_moe_mxfp4_f32_ns + moe_reorder_b + moe_sort_by_expert mul_mm_f32_f32_l4_lm mul_mm_f16_f32_l4_lm mul_mm_q4_0_f32_l4_lm @@ -116,12 +121,15 @@ set(GGML_OPENCL_KERNELS mul_mm_q4_k_f32_l4_lm mul_mm_q5_k_f32_l4_lm mul_mm_q6_k_f32_l4_lm - mul_mm_q8_0_f32_8x4 + gemv_noshuffle_q4_0_f32 + gemv_noshuffle_q4_0_f32_spec + gemm_noshuffle_q4_0_f32 gemv_noshuffle_q4_1_f32 gemm_noshuffle_q4_1_f32 gemv_noshuffle_iq4_nl_f32 gemm_noshuffle_iq4_nl_f32 - gemv_noshuffle_general_q8_0_f32 + gemv_noshuffle_q8_0_f32 + gemm_noshuffle_q8_0_f32 gemv_noshuffle_q4_k_f32 gemm_noshuffle_q4_k_f32 gemv_noshuffle_q6_k_f32 @@ -168,6 +176,10 @@ set(GGML_OPENCL_KERNELS flash_attn_f32 ) +if (GGML_OPENCL_USE_ADRENO_KERNELS) + list(APPEND GGML_OPENCL_KERNELS gemm_xmem_f16_f32_os8) +endif () + foreach (K ${GGML_OPENCL_KERNELS}) ggml_opencl_add_kernel(${K}) endforeach() diff --git a/ggml/src/ggml-opencl/ggml-opencl.cpp b/ggml/src/ggml-opencl/ggml-opencl.cpp index 4d31591a4a..61bdc62cd1 100644 --- a/ggml/src/ggml-opencl/ggml-opencl.cpp +++ b/ggml/src/ggml-opencl/ggml-opencl.cpp @@ -28,6 +28,7 @@ #include #include #include +#include #undef MIN #undef MAX @@ -389,12 +390,15 @@ struct ggml_backend_opencl_context { ADRENO_GPU_GEN adreno_gen; cl_int alignment; + size_t global_mem_size; size_t max_alloc_size; size_t max_workgroup_size; bool fp16_support; bool has_vector_subgroup_broadcast; bool disable_fusion; + std::regex *opfilter = nullptr; // regex of ops to not claim + bool adreno_has_large_buffer; bool adreno_use_large_buffer; ggml_cl_compiler_version adreno_cl_compiler_version; @@ -403,6 +407,8 @@ struct ggml_backend_opencl_context { cl_bool non_uniform_workgroups; size_t image_max_buffer_size; + size_t image2d_max_width; + size_t image2d_max_height; cl_context context; cl_command_queue queue; @@ -416,6 +422,20 @@ struct ggml_backend_opencl_context { ggml_cl_buffer prealloc_src0; ggml_cl_buffer prealloc_src1; +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + ggml_cl_buffer prealloc_adreno_xmem_const; + bool adreno_xmem_gemm_enabled = false; +#endif + + // prealloc buffers for MoE router table preprocess + bool toggle_reorder = false; + ggml_cl_buffer prealloc_post_router; + ggml_cl_buffer prealloc_emap; + ggml_cl_buffer prealloc_hist; + ggml_cl_buffer prealloc_tile_offset; + ggml_cl_buffer prealloc_total_tiles; + ggml_cl_buffer prealloc_slot_counter; + cl_program program_add; cl_program program_add_id; cl_program program_clamp; @@ -525,12 +545,19 @@ struct ggml_backend_opencl_context { cl_kernel kernel_mul_mat_f16_f32; cl_kernel kernel_mul_mat_f16_f32_l4; cl_kernel kernel_mul_mat_f16_f32_tiled; + cl_kernel kernel_adreno_xmem_pack_src_f32; + cl_kernel kernel_adreno_xmem_prepack_weight_f16; + cl_kernel kernel_gemm_xmem_f16_f32_os8; + cl_kernel kernel_adreno_xmem_store_dst_f32; cl_kernel kernel_mul_mm_f16_f32_kqv; cl_kernel kernel_mul_mm_f16_f32_kq; cl_kernel kernel_mul_mat_q4_0_f32, kernel_mul_mat_q4_0_f32_v; cl_kernel kernel_convert_block_q4_0, kernel_restore_block_q4_0; + cl_kernel kernel_convert_block_q4_0_trans4_ns, kernel_restore_block_q4_0_trans4_ns; cl_kernel kernel_convert_block_q4_1, kernel_restore_block_q4_1; + cl_kernel kernel_convert_block_q4_1_trans4_ns, kernel_restore_block_q4_1_trans4_ns; cl_kernel kernel_convert_block_mxfp4, kernel_convert_block_mxfp4_trans, kernel_restore_block_mxfp4, kernel_restore_block_mxfp4_trans; + cl_kernel kernel_convert_block_mxfp4_trans4_ns, kernel_restore_block_mxfp4_trans4_ns; cl_kernel kernel_convert_block_q8_0, kernel_restore_block_q8_0, kernel_restore_block_q8_0_trans; cl_kernel kernel_convert_block_q6_K_noshuffle, kernel_restore_block_q6_K_noshuffle; cl_kernel kernel_mul_mat_q4_0_f32_8x_flat; @@ -586,7 +613,12 @@ struct ggml_backend_opencl_context { cl_kernel kernel_conv_2d_f16_f32; cl_kernel kernel_ssm_conv_f32_f32, kernel_ssm_conv_f32_f32_4; cl_kernel kernel_timestep_embedding; + cl_kernel kernel_gemv_moe_q4_0_f32_ns, kernel_gemm_moe_q4_0_f32_ns; + cl_kernel kernel_gemv_moe_q4_1_f32_ns, kernel_gemm_moe_q4_1_f32_ns; cl_kernel kernel_gemv_moe_mxfp4_f32, kernel_gemm_moe_mxfp4_f32; + cl_kernel kernel_gemv_moe_mxfp4_f32_ns, kernel_gemm_moe_mxfp4_f32_ns; + cl_kernel kernel_moe_reorder_b; + cl_kernel kernel_moe_histogram, kernel_moe_scan, kernel_moe_fill, kernel_moe_scatter; cl_kernel kernel_mul_mv_id_q4_0_f32_8x_flat; cl_kernel kernel_mul_mv_id_q8_0_f32, kernel_mul_mv_id_q8_0_f32_flat; cl_kernel kernel_mul_mv_id_mxfp4_f32; @@ -718,22 +750,16 @@ struct ggml_backend_opencl_context { cl_kernel kernel_transpose_16_4x1; // Gemm and Gemv related programs, kernels, etc - cl_program program_CL_gemm; - cl_program program_CL_gemv_general; - cl_program program_CL_gemv_4096_1_11008; - cl_program program_CL_gemv_4096_1_4096; - cl_program program_CL_gemv_11008_1_4096; - cl_program program_CL_gemv_32000_1_4096; - cl_kernel CL_mul_mat_Ab_Bi_8x4; - cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_general; - cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_11008; - cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_4096; - cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_11008_1_4096; - cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_32000_1_4096; + cl_kernel kernel_gemm_noshuffle_q4_0_f32; + cl_kernel kernel_gemv_noshuffle_q4_0_f32; + cl_kernel kernel_gemv_noshuffle_q4_0_f32_4096_1_11008; + cl_kernel kernel_gemv_noshuffle_q4_0_f32_4096_1_4096; + cl_kernel kernel_gemv_noshuffle_q4_0_f32_11008_1_4096; + cl_kernel kernel_gemv_noshuffle_q4_0_f32_32000_1_4096; cl_kernel kernel_gemv_noshuffle_q4_1_f32; cl_kernel kernel_gemm_noshuffle_q4_1_f32; - cl_kernel kernel_mul_mm_q8_0_f32_8x4; - cl_kernel CL_mul_mat_vec_q8_0_f32; + cl_kernel kernel_gemm_noshuffle_q8_0_f32; + cl_kernel kernel_gemv_noshuffle_q8_0_f32; cl_kernel kernel_gemv_noshuffle_q4_k_f32; cl_kernel kernel_gemm_noshuffle_q4_k_f32; cl_kernel kernel_gemv_noshuffle_q6_K_f32; @@ -939,12 +965,18 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve CL_CHECK((backend_ctx->kernel_restore_block_q4_0_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_0_noshuffle", &err), err)); CL_CHECK((backend_ctx->kernel_convert_block_q4_0 = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_0", &err), err)); CL_CHECK((backend_ctx->kernel_restore_block_q4_0 = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_0", &err), err)); + CL_CHECK((backend_ctx->kernel_convert_block_q4_0_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_0_trans4_ns", &err), err)); + CL_CHECK((backend_ctx->kernel_restore_block_q4_0_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_0_trans4_ns", &err), err)); CL_CHECK((backend_ctx->kernel_convert_block_q4_1_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_1_noshuffle", &err), err)); CL_CHECK((backend_ctx->kernel_restore_block_q4_1_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_1_noshuffle", &err), err)); CL_CHECK((backend_ctx->kernel_convert_block_q4_1 = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_1", &err), err)); CL_CHECK((backend_ctx->kernel_restore_block_q4_1 = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_1", &err), err)); + CL_CHECK((backend_ctx->kernel_convert_block_q4_1_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_1_trans4_ns", &err), err)); + CL_CHECK((backend_ctx->kernel_restore_block_q4_1_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_1_trans4_ns", &err), err)); CL_CHECK((backend_ctx->kernel_convert_block_mxfp4 = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4", &err), err)); CL_CHECK((backend_ctx->kernel_convert_block_mxfp4_trans = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4_trans", &err), err)); + CL_CHECK((backend_ctx->kernel_convert_block_mxfp4_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4_trans4_ns", &err), err)); + CL_CHECK((backend_ctx->kernel_restore_block_mxfp4_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_mxfp4_trans4_ns", &err), err)); CL_CHECK((backend_ctx->kernel_restore_block_mxfp4_trans = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_mxfp4_trans", &err), err)); CL_CHECK((backend_ctx->kernel_restore_block_mxfp4 = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_mxfp4", &err), err)); CL_CHECK((backend_ctx->kernel_convert_block_q8_0 = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q8_0", &err), err)); @@ -1533,6 +1565,32 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve GGML_LOG_CONT("."); } +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + // gemm_xmem_f16_f32_os8 + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "gemm_xmem_f16_f32_os8.cl.h" + }; +#else + const std::string kernel_src = read_file("gemm_xmem_f16_f32_os8.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts); + + CL_CHECK((backend_ctx->kernel_adreno_xmem_pack_src_f32 = + clCreateKernel(prog, "adreno_xmem_pack_src_f32", &err), err)); + CL_CHECK((backend_ctx->kernel_adreno_xmem_prepack_weight_f16 = + clCreateKernel(prog, "adreno_xmem_prepack_weight_f16", &err), err)); + CL_CHECK((backend_ctx->kernel_gemm_xmem_f16_f32_os8 = + clCreateKernel(prog, "kernel_gemm_xmem_f16_f32_os8", &err), err)); + CL_CHECK((backend_ctx->kernel_adreno_xmem_store_dst_f32 = + clCreateKernel(prog, "adreno_xmem_store_dst_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } +#endif // GGML_OPENCL_USE_ADRENO_KERNELS + // mul_mm_f32_f32_l4_lm { #ifdef GGML_OPENCL_EMBED_KERNELS @@ -2563,21 +2621,22 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve " -DSIMDGROUP_WIDTH=" + std::to_string(backend_ctx->adreno_wave_size); if (backend_ctx->has_vector_subgroup_broadcast) { - CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT "; + CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST "; } #ifdef GGML_OPENCL_EMBED_KERNELS const std::string kernel_src_CL_gemv_general { - #include "gemv_noshuffle_general.cl.h" + #include "gemv_noshuffle_q4_0_f32.cl.h" }; #else - const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_general.cl"); + const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_q4_0_f32.cl"); #endif - backend_ctx->program_CL_gemv_general = build_program_from_source( + cl_program prog = build_program_from_source( backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv_general.c_str(), CL_gemv_compile_opts); - CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_general = clCreateKernel(backend_ctx->program_CL_gemv_general, "kernel_gemv_noshuffle", &err), err)); + CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); } @@ -2591,20 +2650,21 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve " -DSIMDGROUP_WIDTH=" + std::to_string(backend_ctx->adreno_wave_size); if (backend_ctx->has_vector_subgroup_broadcast) { - CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT "; + CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST "; } #ifdef GGML_OPENCL_EMBED_KERNELS const std::string kernel_src_CL_gemv { - #include "gemv_noshuffle.cl.h" + #include "gemv_noshuffle_q4_0_f32_spec.cl.h" }; #else - const std::string kernel_src_CL_gemv = read_file("gemv_noshuffle.cl"); + const std::string kernel_src_CL_gemv = read_file("gemv_noshuffle_q4_0_f32_spec.cl"); #endif - backend_ctx->program_CL_gemv_4096_1_4096 = build_program_from_source( + cl_program prog = build_program_from_source( backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts); - CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_4096 = clCreateKernel(backend_ctx->program_CL_gemv_4096_1_4096, "kernel_gemv_noshuffle", &err), err)); + CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_4096 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); // Gemv 2048, 16384 @@ -2615,12 +2675,13 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve " -DSIMDGROUP_WIDTH=" + std::to_string(backend_ctx->adreno_wave_size); if (backend_ctx->has_vector_subgroup_broadcast) { - CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT "; + CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST "; } - backend_ctx->program_CL_gemv_4096_1_11008 = build_program_from_source( + prog = build_program_from_source( backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts); - CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_11008 = clCreateKernel(backend_ctx->program_CL_gemv_4096_1_11008, "kernel_gemv_noshuffle", &err), err)); + CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_11008 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); // Gemv 5504, 44032 @@ -2631,12 +2692,13 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve " -DSIMDGROUP_WIDTH=" + std::to_string(backend_ctx->adreno_wave_size); if (backend_ctx->has_vector_subgroup_broadcast) { - CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT "; + CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST "; } - backend_ctx->program_CL_gemv_11008_1_4096 = build_program_from_source( + prog = build_program_from_source( backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts); - CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_11008_1_4096 = clCreateKernel(backend_ctx->program_CL_gemv_11008_1_4096, "kernel_gemv_noshuffle", &err), err)); + CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_11008_1_4096 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); // Gemv 16000, 128000 @@ -2648,12 +2710,13 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve std::to_string(backend_ctx->adreno_wave_size); if (backend_ctx->has_vector_subgroup_broadcast) { - CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT "; + CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST "; } - backend_ctx->program_CL_gemv_32000_1_4096 = build_program_from_source( + prog = build_program_from_source( backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts); - CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_32000_1_4096 = clCreateKernel(backend_ctx->program_CL_gemv_32000_1_4096, "kernel_gemv_noshuffle", &err), err)); + CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_32000_1_4096 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); } @@ -2661,13 +2724,14 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve { #ifdef GGML_OPENCL_EMBED_KERNELS const std::string kernel_src_CL_gemm { - #include "mul_mat_Ab_Bi_8x4.cl.h" + #include "gemm_noshuffle_q4_0_f32.cl.h" }; #else - const std::string kernel_src_CL_gemm = read_file("mul_mat_Ab_Bi_8x4.cl"); + const std::string kernel_src_CL_gemm = read_file("gemm_noshuffle_q4_0_f32.cl"); #endif - backend_ctx->program_CL_gemm = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src_CL_gemm.c_str(), compile_opts); - CL_CHECK((backend_ctx->CL_mul_mat_Ab_Bi_8x4 = clCreateKernel(backend_ctx->program_CL_gemm, "kernel_mul_mat_Ab_Bi_8x4", &err), err)); + cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src_CL_gemm.c_str(), compile_opts); + CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q4_0_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q4_0_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); } @@ -2752,14 +2816,15 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve // mul_mm_q8_0_f32_8x4 { #ifdef GGML_OPENCL_EMBED_KERNELS - const std::string kernel_src_q8_8x4_gemm { - #include "mul_mm_q8_0_f32_8x4.cl.h" + const std::string kernel_src { + #include "gemm_noshuffle_q8_0_f32.cl.h" }; #else - const std::string kernel_src_q8_8x4_gemm = read_file("mul_mm_q8_0_f32_8x4.cl"); + const std::string kernel_src = read_file("gemm_noshuffle_q8_0_f32.cl"); #endif - backend_ctx->program_CL_gemm = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src_q8_8x4_gemm.c_str(), compile_opts); - CL_CHECK((backend_ctx->kernel_mul_mm_q8_0_f32_8x4 = clCreateKernel(backend_ctx->program_CL_gemm, "kernel_mul_mm_q8_0_f32_8x4", &err), err)); + cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts); + CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q8_0_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q8_0_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); } @@ -2775,16 +2840,16 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve #ifdef GGML_OPENCL_EMBED_KERNELS const std::string kernel_src_CL_gemv_general { - #include "gemv_noshuffle_general_q8_0_f32.cl.h" + #include "gemv_noshuffle_q8_0_f32.cl.h" }; #else - const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_general_q8_0_f32.cl"); + const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_q8_0_f32.cl"); #endif cl_program prog = build_program_from_source( backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv_general.c_str(), CL_gemv_compile_opts); - CL_CHECK((backend_ctx->CL_mul_mat_vec_q8_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q8_0_f32", &err), err)); + CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q8_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q8_0_f32", &err), err)); CL_CHECK(clReleaseProgram(prog)); GGML_LOG_CONT("."); } @@ -2832,6 +2897,38 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve " -cl-mad-enable " " -cl-fast-relaxed-math"; + // gemv_moe_q4_1_f32_ns + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "gemv_moe_q4_1_f32_ns.cl.h" + }; +#else + const std::string kernel_src = read_file("gemv_moe_q4_1_f32_ns.cl"); +#endif + cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_gemv_moe_q4_1_f32_ns = clCreateKernel(prog, "kernel_gemv_moe_q4_1_f32_ns", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + + // gemm_moe_q4_1_f32_ns + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "gemm_moe_q4_1_f32_ns.cl.h" + }; +#else + const std::string kernel_src = read_file("gemm_moe_q4_1_f32_ns.cl"); +#endif + cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_gemm_moe_q4_1_f32_ns = clCreateKernel(prog, "kernel_gemm_moe_q4_1_f32_ns", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + // gemv_moe_mxfp4_f32 { #ifdef GGML_OPENCL_EMBED_KERNELS @@ -2864,6 +2961,111 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve GGML_LOG_CONT("."); } + // gemv_moe_q4_0_f32_ns + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "gemv_moe_q4_0_f32_ns.cl.h" + }; +#else + const std::string kernel_src = read_file("gemv_moe_q4_0_f32_ns.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_gemv_moe_q4_0_f32_ns = clCreateKernel(prog, "kernel_gemv_moe_q4_0_f32_ns", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + + // gemm_moe_q4_0_f32_ns + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "gemm_moe_q4_0_f32_ns.cl.h" + }; +#else + const std::string kernel_src = read_file("gemm_moe_q4_0_f32_ns.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_gemm_moe_q4_0_f32_ns = clCreateKernel(prog, "kernel_gemm_moe_q4_0_f32_ns", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + + // gemv_moe_mxfp4_f32_ns + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "gemv_moe_mxfp4_f32_ns.cl.h" + }; +#else + const std::string kernel_src = read_file("gemv_moe_mxfp4_f32_ns.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_gemv_moe_mxfp4_f32_ns = clCreateKernel(prog, "kernel_gemv_moe_mxfp4_f32_ns", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + + // gemm_moe_mxfp4_f32_ns + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "gemm_moe_mxfp4_f32_ns.cl.h" + }; +#else + const std::string kernel_src = read_file("gemm_moe_mxfp4_f32_ns.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_gemm_moe_mxfp4_f32_ns = clCreateKernel(prog, "kernel_gemm_moe_mxfp4_f32_ns", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + + // moe_reorder_b + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "moe_reorder_b.cl.h" + }; +#else + const std::string kernel_src = read_file("moe_reorder_b.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_moe_reorder_b = clCreateKernel(prog, "kernel_moe_reorder_b", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + + // moe_sort_by_expert + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "moe_sort_by_expert.cl.h" + }; +#else + const std::string kernel_src = read_file("moe_sort_by_expert.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts); + + CL_CHECK((backend_ctx->kernel_moe_histogram = clCreateKernel(prog, "kernel_moe_histogram", &err), err)); + CL_CHECK((backend_ctx->kernel_moe_scan = clCreateKernel(prog, "kernel_moe_scan", &err), err)); + CL_CHECK((backend_ctx->kernel_moe_fill = clCreateKernel(prog, "kernel_moe_fill", &err), err)); + CL_CHECK((backend_ctx->kernel_moe_scatter = clCreateKernel(prog, "kernel_moe_scatter", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + // gemv_noshuffle_q6_k_f32 { #ifdef GGML_OPENCL_EMBED_KERNELS @@ -3299,12 +3501,19 @@ static ggml_backend_opencl_context * ggml_cl2_init(ggml_backend_dev_t dev) { backend_ctx->alignment = base_align_in_bits / 8u; GGML_LOG_INFO("ggml_opencl: mem base addr align: %u\n", backend_ctx->alignment); + clGetDeviceInfo(device, CL_DEVICE_GLOBAL_MEM_SIZE, sizeof(size_t), &backend_ctx->global_mem_size, NULL); + GGML_LOG_INFO("ggml_opencl: global mem size: %zu MB\n", backend_ctx->global_mem_size/1024/1024); + clGetDeviceInfo(device, CL_DEVICE_MAX_MEM_ALLOC_SIZE, sizeof(size_t), &backend_ctx->max_alloc_size, NULL); GGML_LOG_INFO("ggml_opencl: max mem alloc size: %zu MB\n", backend_ctx->max_alloc_size/1024/1024); clGetDeviceInfo(device, CL_DEVICE_IMAGE_MAX_BUFFER_SIZE, sizeof(size_t), &backend_ctx->image_max_buffer_size, NULL); GGML_LOG_INFO("ggml_opencl: device max image buffer size (pixels): %lu\n", backend_ctx->image_max_buffer_size); + clGetDeviceInfo(device, CL_DEVICE_IMAGE2D_MAX_WIDTH, sizeof(size_t), &backend_ctx->image2d_max_width, NULL); + clGetDeviceInfo(device, CL_DEVICE_IMAGE2D_MAX_HEIGHT, sizeof(size_t), &backend_ctx->image2d_max_height, NULL); + GGML_LOG_INFO("ggml_opencl: device max image2d size: %lu x %lu\n", backend_ctx->image2d_max_width, backend_ctx->image2d_max_height); + clGetDeviceInfo(device, CL_DEVICE_MAX_WORK_GROUP_SIZE, sizeof(size_t), &backend_ctx->max_workgroup_size, NULL); GGML_LOG_INFO("ggml_opencl: device max workgroup size: %lu\n", backend_ctx->max_workgroup_size); @@ -3343,6 +3552,16 @@ static ggml_backend_opencl_context * ggml_cl2_init(ggml_backend_dev_t dev) { GGML_LOG_INFO("ggml_opencl: using kernels optimized for Adreno (GGML_OPENCL_USE_ADRENO_KERNELS)\n"); #endif // GGML_OPENCL_USE_ADRENO_KERNELS +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + backend_ctx->adreno_xmem_gemm_enabled = getenv("GGML_OPENCL_ADRENO_XMEM_GEMM") != nullptr && + backend_ctx->gpu_family == GPU_FAMILY::ADRENO; + if (getenv("GGML_OPENCL_ADRENO_XMEM_GEMM") != nullptr) { + GGML_LOG_INFO("ggml_opencl: Adreno xmem F16xF32 GEMM %s\n", + backend_ctx->adreno_xmem_gemm_enabled ? + "enabled (temporary weight prepack)" : "requested but unsupported by this driver"); + } +#endif // GGML_OPENCL_USE_ADRENO_KERNELS + // determine whether to use large buffer for Adreno backend_ctx->adreno_use_large_buffer = getenv("GGML_OPENCL_ADRENO_USE_LARGE_BUFFER") != nullptr && backend_ctx->gpu_family == GPU_FAMILY::ADRENO; @@ -3403,6 +3622,12 @@ static ggml_backend_opencl_context * ggml_cl2_init(ggml_backend_dev_t dev) { backend_ctx->disable_fusion = getenv("GGML_OPENCL_DISABLE_FUSION") != nullptr; + const char * str_opfilter = getenv("GGML_OPENCL_OPFILTER"); + if (str_opfilter) { + backend_ctx->opfilter = new std::regex(str_opfilter, std::regex_constants::icase); + GGML_LOG_INFO("ggml_opencl: opfilter regex = \"%s\"\n", str_opfilter); + } + dev_ctx->backend_ctx = backend_ctx.release(); return dev_ctx->backend_ctx; } @@ -3557,11 +3782,14 @@ struct ggml_tensor_extra_cl_q4_0 { CL_CHECK(clReleaseMemObject(d)); d = nullptr; } + if (q_img != nullptr) { + CL_CHECK(clReleaseMemObject(q_img)); + q_img = nullptr; + } // Currently, q_img and d_img are only initialized when SMALL_ALLOC is // enabled. They point to the images in ggml_backend_opencl_buffer_context. // So, there is no need to release them here. // TODO: initialize them for non SMALL_PATH path, or remove them. - q_img = nullptr; d_img = nullptr; size_q = 0; size_d = 0; @@ -3608,11 +3836,14 @@ struct ggml_tensor_extra_cl_q4_1 { CL_CHECK(clReleaseMemObject(m)); m = nullptr; } + if (q_img != nullptr) { + CL_CHECK(clReleaseMemObject(q_img)); + q_img = nullptr; + } // Currently, q_img and d_img are only initialized when SMALL_ALLOC is // enabled. They point to the images in ggml_backend_opencl_buffer_context. // So, there is no need to release them here. // TODO: initialize them for non SMALL_PATH path, or remove them. - q_img = nullptr; d_img = nullptr; m_img = nullptr; size_q = 0; @@ -3651,13 +3882,12 @@ struct ggml_tensor_extra_cl_mxfp4 { CL_CHECK(clReleaseMemObject(e)); e = nullptr; } - if (q != nullptr) { + if (q_img != nullptr) { CL_CHECK(clReleaseMemObject(q_img)); - q = nullptr; + q_img = nullptr; } - // Currently, q_img and d_img are not used. They can be image1d_buffer_t + // Currently, e_img is not used. They can be image1d_buffer_t // that wraps around q and d to utilize image access path. - q_img = nullptr; e_img = nullptr; size_q = 0; size_e = 0; @@ -4049,10 +4279,44 @@ static ggml_status ggml_backend_opencl_graph_compute(ggml_backend_t backend, ggm return GGML_STATUS_SUCCESS; } +// The optimized gemm and gemv kernels are used for large matrices without batch. +// tensor is the quantized weights matrix. +inline bool use_adreno_kernels(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) { + int64_t threshold_ne0 = 512; + int64_t threshold_ne1 = 512; + if (!backend_ctx->adreno_cl_compiler_version.newer_than_or_same(E031, 38, 11, 0) && + backend_ctx->adreno_cl_compiler_version.type != DX) { + threshold_ne0 = 128; + threshold_ne1 = 128; + } + return tensor->ne[0] >= threshold_ne0 && tensor->ne[1] >= threshold_ne1 && + tensor->ne[2] == 1 && tensor->ne[3] == 1; +} + +inline bool use_adreno_moe_kernels(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) { + GGML_UNUSED(backend_ctx); + int ne01 = tensor->ne[1]; + return (((strstr(tensor->name, "ffn") != NULL) && (strstr(tensor->name, "exps") != NULL)) || (strstr(tensor->name, "as") != NULL)) && (ne01 % 64 == 0); +} + +inline bool enable_adreno_trans_weight(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) { + + bool adreno_kernel = use_adreno_kernels(backend_ctx, tensor); + + size_t elem_num = tensor->ne[0] * tensor->ne[1] * tensor->ne[2] * tensor->ne[3]; + + return ((elem_num < 128 * 1024 * 1024) && adreno_kernel); // max element num: 2**27 +} + static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) { ggml_backend_opencl_device_context * dev_ctx = (ggml_backend_opencl_device_context *)dev->context; ggml_backend_opencl_context * backend_ctx = dev_ctx->backend_ctx; + // reject ops that match the opfilter regex + if (backend_ctx->opfilter && std::regex_match(std::string(ggml_op_desc(op)), *backend_ctx->opfilter)) { + return false; + } + switch (op->op) { case GGML_OP_NONE: return true; @@ -4240,6 +4504,18 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te return ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]); } } + // q4_0, q8_0 and mxfp4 have general MUL_MAT_ID support, + // the quantizations here currently do not - they are only supported by Adreno with certain shapes + if (op->src[0]->type == GGML_TYPE_Q4_1) { +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + if (op->src[1]->type == GGML_TYPE_F32) { + return use_adreno_moe_kernels(backend_ctx, op->src[0]) + && ggml_is_contiguous(op->src[0]) + && ggml_is_contiguous(op->src[1]); + } +#endif + return false; + } return false; case GGML_OP_RESHAPE: case GGML_OP_VIEW: @@ -4343,9 +4619,9 @@ static ggml_backend_i ggml_backend_opencl_i = { /* .free = */ ggml_backend_opencl_free, /* .set_tensor_async = */ NULL, /* ggml_backend_opencl_set_tensor_async */ /* .get_tensor_async = */ NULL, /* ggml_backend_opencl_get_tensor_async */ - /* .cpy_tensor_async = */ NULL, /* ggml_backend_opencl_cpy_tensor_async */ - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, + /* .cpy_tensor_async = */ NULL, /* ggml_backend_opencl_cpy_tensor_async */ /* .synchronize = */ ggml_backend_opencl_synchronize, /* .graph_plan_create = */ NULL, /* .graph_plan_free = */ NULL, @@ -4410,6 +4686,12 @@ struct ggml_backend_opencl_buffer_context { for (ggml_tensor_extra_cl_q4_0 * e : temp_tensor_extras_q4_0_in_use) { delete e; } + for (ggml_tensor_extra_cl_q4_1 * e : temp_tensor_extras_q4_1) { + delete e; + } + for (ggml_tensor_extra_cl_q4_1 * e : temp_tensor_extras_q4_1_in_use) { + delete e; + } for (ggml_tensor_extra_cl_mxfp4 * e : temp_tensor_extras_mxfp4) { delete e; } @@ -4723,35 +5005,6 @@ static enum ggml_status ggml_backend_opencl_buffer_init_tensor(ggml_backend_buff return GGML_STATUS_SUCCESS; } -// The optimized gemm and gemv kernels are used for large matrices without batch. -// tensor is the quantized weights matrix. -inline bool use_adreno_kernels(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) { - int64_t threshold_ne0 = 512; - int64_t threshold_ne1 = 512; - if (!backend_ctx->adreno_cl_compiler_version.newer_than_or_same(E031, 38, 11, 0) && - backend_ctx->adreno_cl_compiler_version.type != DX) { - threshold_ne0 = 128; - threshold_ne1 = 128; - } - return tensor->ne[0] >= threshold_ne0 && tensor->ne[1] >= threshold_ne1 && - tensor->ne[2] == 1 && tensor->ne[3] == 1; -} - -inline bool use_adreno_moe_kernels(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) { - GGML_UNUSED(backend_ctx); - int ne01 = tensor->ne[1]; - return ((strstr(tensor->name, "ffn") != NULL) || (strstr(tensor->name, "as") != NULL)) && (ne01 % 64 == 0); -} - -inline bool enable_adreno_trans_weight(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) { - - bool adreno_kernel = use_adreno_kernels(backend_ctx, tensor); - - size_t elem_num = tensor->ne[0] * tensor->ne[1] * tensor->ne[2] * tensor->ne[3]; - - return ((elem_num < 128 * 1024 * 1024) && adreno_kernel); // max element num: 2**27 -} - static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { ggml_backend_opencl_context *backend_ctx = ggml_cl2_init(buffer->buft->device); @@ -4822,17 +5075,53 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); CL_CHECK(err); - //cl_kernel kernel = backend_ctx->kernel_convert_block_q4_0; - #ifdef GGML_OPENCL_USE_ADRENO_KERNELS +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + // Adreno moe q4_0 kernel needs special transpose and unshuffling + if (use_adreno_moe_kernels(backend_ctx, tensor)) { + cl_kernel kernel = backend_ctx->kernel_convert_block_q4_0_trans4_ns; + + int ne00 = tensor->ne[0]; + int ne01 = tensor->ne[1]; + int ne02 = tensor->ne[2]; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne01)); + + size_t global_work_size[3] = {static_cast(((ne01 + 63) / 64) * 64), static_cast(ne00 / 32), static_cast(ne02)}; + size_t local_work_size[3] = {64, 2, 1}; + + cl_event evt; + CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt)); + CL_CHECK(clWaitForEvents(1, &evt)); + CL_CHECK(clReleaseMemObject(data_device)); + + // Create image for Q + cl_image_format img_format_q = {CL_R, CL_UNSIGNED_INT32}; + cl_image_desc img_desc_q = { + CL_MEM_OBJECT_IMAGE1D_BUFFER, + static_cast(ggml_nelements(tensor) / 8), + 0, 0, 0, 0, 0, 0, 0, + { extra->q } + }; + extra->q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_format_q, &img_desc_q, NULL, &err); + tensor->extra = extra; + + return; + } +#endif // GGML_OPENCL_USE_ADRENO_KERNELS + +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS cl_kernel kernel = backend_ctx->kernel_convert_block_q4_0; // The optimized kernels need weights in natural order, so unshuffle. if (use_adreno_kernels(backend_ctx, tensor)) { kernel = backend_ctx->kernel_convert_block_q4_0_noshuffle; } - #else +#else cl_kernel kernel = backend_ctx->kernel_convert_block_q4_0; - #endif // GGML_OPENCL_USE_ADRENO_KERNELS +#endif // GGML_OPENCL_USE_ADRENO_KERNELS CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device)); CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q)); CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d)); @@ -4848,173 +5137,22 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, tensor->extra = extra; // transpose the weights and scales - #ifdef GGML_OPENCL_USE_ADRENO_KERNELS +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS // Only do transpose for large, non batched matrix // TODO: use preallocated images instead of sub-buffer then image if (use_adreno_kernels(backend_ctx, tensor)) { - // <----------------------------------------------------------------------------------> // - // start transpose - // <----------------------------------------------------------------------------------> // - int M = tensor->ne[1]; // ne01 - int K = tensor->ne[0]; // ne00 + int M = tensor->ne[1]; + int K = tensor->ne[0]; - //For matrix-vector multiplication kernel, we assume K is a multiple of 32 - GGML_ASSERT(K % 32 == 0); - //For transpose kernels, we assume K is a multiple of 4 (satisfied by prior assert), and M is a multiple of 4 - GGML_ASSERT(M % 4 == 0); + GGML_ASSERT(K % 32 == 0); - // transpose is out of place, so we need to allocate transposed buffers - // <----------------------------------------------------------------------------------> // - // use sub_buffer of max buffer size instead - - size_t q_size_bytes = K * M / 8 * sizeof(float); - backend_ctx->prealloc_quant_trans.allocate(context, q_size_bytes); - - cl_buffer_region region; - region.origin = 0; - region.size = q_size_bytes; - cl_mem qT_d = clCreateSubBuffer( - backend_ctx->prealloc_quant_trans.buffer, - 0, - CL_BUFFER_CREATE_TYPE_REGION, - ®ion, - &err); - CL_CHECK(err); - - bool K_tile_trans = true; - if ((K / 32) % 4 != 0){ - K_tile_trans =false; + // Transpose q as ushort + transpose_2d_as_16b(backend_ctx, extra->q, extra->q, size_q, K/4, M); + // Transpose d as ushort + transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/32, M); } - - size_t d_size_bytes = M * (K / 32) * 2; - backend_ctx->prealloc_scales_trans.allocate(context, d_size_bytes); - - region.origin = 0; - region.size = d_size_bytes; - cl_mem dT_d = clCreateSubBuffer( - backend_ctx->prealloc_scales_trans.buffer, - 0, - CL_BUFFER_CREATE_TYPE_REGION, - ®ion, - &err); - CL_CHECK(err); - - // <----------------------------------------------------------------------------------> // - - - // create images from the buffers - // <----------------------------------------------------------------------------------> // - cl_mem q_d_image1D; - cl_mem d_d_image1D; - cl_mem qT_d_image1D; - cl_mem dT_d_image1D; - - cl_image_format img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT }; - cl_image_desc img_desc_1d; - - memset(&img_desc_1d, 0, sizeof(img_desc_1d)); - img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; - img_desc_1d.image_width = M * K / 4 / 4; - img_desc_1d.buffer = extra->q; - q_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err); - CL_CHECK(err); - - img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT }; - memset(&img_desc_1d, 0, sizeof(img_desc_1d)); - img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; - img_desc_1d.image_width = M * K / 4 / 4; - img_desc_1d.buffer = qT_d; - qT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err); - CL_CHECK(err); - - memset(&img_desc_1d, 0, sizeof(img_desc_1d)); - if (K_tile_trans) { - img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT }; - img_desc_1d.image_width = M * K / 32 / 4; - } else { - img_fmt_1d = { CL_R, CL_HALF_FLOAT }; - img_desc_1d.image_width = M * K / 32; - } - img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; - img_desc_1d.buffer = extra->d; - d_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err); - CL_CHECK(err); - - img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT }; - memset(&img_desc_1d, 0, sizeof(img_desc_1d)); - img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; - img_desc_1d.image_width = M * K / 32 / 4; - img_desc_1d.buffer = dT_d; - dT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err); - CL_CHECK(err); - // <----------------------------------------------------------------------------------> // - - // set up and call the transpose kernels - // <----------------------------------------------------------------------------------> // - // weights - int height_q = M / 4; - int width_q = K / 4 / 4; - kernel = backend_ctx->kernel_transpose_16; - - CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &q_d_image1D)); - CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &qT_d_image1D)); - CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &height_q)); - CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &width_q)); - - size_t local_size_q[3] = {4, 16, 1}; - size_t global_size_q[3] = {static_cast(width_q), static_cast(height_q), 1}; - CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_q, local_size_q, 0, NULL, &evt)); - CL_CHECK(clWaitForEvents(1, &evt)); - - // scales - int height_s = M / 4; - int width_s = K / 32 / 4; - - kernel = backend_ctx->kernel_transpose_16; - if (!K_tile_trans) { - kernel = backend_ctx->kernel_transpose_16_4x1; - width_s = K / 32; - } - CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &d_d_image1D)); - CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &dT_d_image1D)); - CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &height_s)); - CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &width_s)); - - size_t local_size_s[3] = {4, 16, 1}; - size_t global_size_s[3] = {static_cast(width_s), static_cast(height_s), 1}; - CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_s, local_size_s, 0, NULL, &evt)); - CL_CHECK(clWaitForEvents(1, &evt)); - // <----------------------------------------------------------------------------------> // - - // copy transposed buffer contents to original buffers - // <----------------------------------------------------------------------------------> // - // weights - CL_CHECK(clEnqueueCopyBuffer(queue, qT_d, extra->q, 0, 0, q_size_bytes, 0, NULL, &evt)); - CL_CHECK(clWaitForEvents(1, &evt)); - - // scales - CL_CHECK(clEnqueueCopyBuffer(queue, dT_d, extra->d, 0, 0, d_size_bytes, 0, NULL, &evt)); - CL_CHECK(clWaitForEvents(1, &evt)); - // <----------------------------------------------------------------------------------> // - - // deallocate transpose buffers - // <----------------------------------------------------------------------------------> // - CL_CHECK(clReleaseMemObject(qT_d)); - CL_CHECK(clReleaseMemObject(dT_d)); - - // deallocate temporary images - CL_CHECK(clReleaseMemObject(q_d_image1D)); - CL_CHECK(clReleaseMemObject(d_d_image1D)); - CL_CHECK(clReleaseMemObject(qT_d_image1D)); - CL_CHECK(clReleaseMemObject(dT_d_image1D)); - // <----------------------------------------------------------------------------------> // - // end transpose - // <----------------------------------------------------------------------------------> // - } - #endif // GGML_OPENCL_USE_ADRENO_KERNELS - +#endif // GGML_OPENCL_USE_ADRENO_KERNELS return; - } if (tensor->type == GGML_TYPE_Q4_1) { ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra; @@ -5067,15 +5205,54 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); CL_CHECK(err); - #ifdef GGML_OPENCL_USE_ADRENO_KERNELS +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + // Adreno moe q4_1 kernel needs special transpose and unshuffling + if (use_adreno_moe_kernels(backend_ctx, tensor)) { + cl_kernel kernel = backend_ctx->kernel_convert_block_q4_1_trans4_ns; + + int ne00 = tensor->ne[0]; + int ne01 = tensor->ne[1]; + int ne02 = tensor->ne[2]; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->m)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne01)); + + size_t global_work_size[3] = {static_cast(((ne01 + 63) / 64) * 64), static_cast(ne00 / 32), static_cast(ne02)}; + size_t local_work_size[3] = {64, 2, 1}; + + cl_event evt; + CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt)); + CL_CHECK(clWaitForEvents(1, &evt)); + CL_CHECK(clReleaseMemObject(data_device)); + + // Create image for Q + cl_image_format img_format_q = {CL_R, CL_UNSIGNED_INT32}; + cl_image_desc img_desc_q = { + CL_MEM_OBJECT_IMAGE1D_BUFFER, + static_cast(ggml_nelements(tensor) / 8), + 0, 0, 0, 0, 0, 0, 0, + { extra->q } + }; + extra->q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_format_q, &img_desc_q, NULL, &err); + tensor->extra = extra; + + return; + } +#endif // GGML_OPENCL_USE_ADRENO_KERNELS + + // normal q4_1 repack +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS cl_kernel kernel = backend_ctx->kernel_convert_block_q4_1; if (use_adreno_kernels(backend_ctx, tensor)) { kernel = backend_ctx->kernel_convert_block_q4_1_noshuffle; } - #else +#else cl_kernel kernel = backend_ctx->kernel_convert_block_q4_1; - #endif // GGML_OPENCL_USE_ADRENO_KERNELS +#endif // GGML_OPENCL_USE_ADRENO_KERNELS CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device)); CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q)); CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d)); @@ -5151,8 +5328,9 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, CL_CHECK(err); #ifdef GGML_OPENCL_USE_ADRENO_KERNELS + // Adreno moe mxfp4 kernel needs special transpose and unshuffling if (use_adreno_moe_kernels(backend_ctx, tensor)) { - cl_kernel kernel = backend_ctx->kernel_convert_block_mxfp4_trans; + cl_kernel kernel = backend_ctx->kernel_convert_block_mxfp4_trans4_ns; int ne00 = tensor->ne[0]; int ne01 = tensor->ne[1]; @@ -5172,9 +5350,21 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, CL_CHECK(clReleaseMemObject(data_device)); tensor->extra = extra; + // Create image for Q + cl_image_format img_format_q = {CL_R, CL_UNSIGNED_INT32}; + cl_image_desc img_desc_q = { + CL_MEM_OBJECT_IMAGE1D_BUFFER, + static_cast(ggml_nelements(tensor) / 8), + 0, 0, 0, 0, 0, 0, 0, + { extra->q } + }; + extra->q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_format_q, &img_desc_q, NULL, &err); + tensor->extra = extra; + return; } -#endif + +#endif // GGML_OPENCL_USE_ADRENO_KERNELS cl_kernel kernel = backend_ctx->kernel_convert_block_mxfp4; CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device)); @@ -5721,9 +5911,40 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, ggml_tensor_extra_cl_q4_0 * extra = (ggml_tensor_extra_cl_q4_0 *)tensor->extra; #ifdef GGML_OPENCL_USE_ADRENO_KERNELS - if (use_adreno_kernels(backend_ctx, tensor)) { + if (use_adreno_moe_kernels(backend_ctx, tensor)) { cl_int err; - cl_kernel kernel; + cl_kernel kernel = backend_ctx->kernel_restore_block_q4_0_trans4_ns; + + cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE, + ggml_nbytes(tensor), NULL, &err); + CL_CHECK(err); + + int ne00 = tensor->ne[0]; + int ne01 = tensor->ne[1]; + int ne02 = tensor->ne[2]; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->d)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &data_device)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_int), &ne01)); + + size_t global_work_size[3] = {static_cast(((ne01 + 63) / 64) * 64), static_cast(ne00 / 32), static_cast(ne02)}; + size_t local_work_size[3] = {64, 2, 1}; + + cl_event evt; + CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, + global_work_size, local_work_size, 0, NULL, &evt)); + CL_CHECK(clWaitForEvents(1, &evt)); + CL_CHECK(clEnqueueReadBuffer( + queue, data_device, CL_TRUE, offset, + size, data, 0, NULL, NULL)); + CL_CHECK(clReleaseMemObject(data_device)); + return; + } + if (use_adreno_kernels(backend_ctx, tensor)) { + ggml_cl_buffer buf_trans_q; + ggml_cl_buffer buf_trans_d; + ggml_cl_buffer buf_unpacked; cl_int M = tensor->ne[1]; // ne01 cl_int K = tensor->ne[0]; // ne00 @@ -5735,46 +5956,12 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, size_t size_d = (ggml_nelements(tensor)/ggml_blck_size(tensor->type))*sizeof(ggml_fp16_t); GGML_ASSERT(size_d + size_q == ggml_nbytes(tensor) && "Incorrect tensor size"); - cl_mem buf_trans_q; - cl_mem buf_trans_d; + buf_trans_q.allocate(backend_ctx->context, size_q); + buf_trans_d.allocate(backend_ctx->context, size_d); + buf_unpacked.allocate(backend_ctx->context, ggml_nbytes(tensor)); - CL_CHECK((buf_trans_q = clCreateBuffer(context, CL_MEM_READ_WRITE, - size_q, NULL, &err), err)); - CL_CHECK((buf_trans_d = clCreateBuffer(context, CL_MEM_READ_WRITE, - size_d, NULL, &err), err)); - - kernel = backend_ctx->kernel_transpose_16_buf; - - // transpose q back - cl_int stride_k_q = K/4; - size_t local_size_q[3] = {64, 1, 1}; - size_t global_size_q[3] = {(size_t)M, (size_t)stride_k_q, 1}; - - CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q)); - CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &buf_trans_q)); - CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_int), &M)); - CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_int), &stride_k_q)); - - CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, - global_size_q, local_size_q, 0, NULL, NULL)); - - // transpose scales back - cl_int stride_k_d = K/32; - size_t local_size_d[3] = {64, 1, 1}; - size_t global_size_d[3] = {(size_t)M, (size_t)stride_k_d, 1}; - - CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->d)); - CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &buf_trans_d)); - CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_int), &M)); - CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_int), &stride_k_d)); - - CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, - global_size_d, local_size_d, 0, NULL, NULL)); - - // unpack - cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE, - ggml_nbytes(tensor), NULL, &err); - CL_CHECK(err); + transpose_2d_as_16b(backend_ctx, extra->q, buf_trans_q.buffer, size_q, M, K/4); + transpose_2d_as_16b(backend_ctx, extra->d, buf_trans_d.buffer, size_d, M, K/32); cl_uchar mask_0F = 0x0F; cl_uchar mask_F0 = 0xF0; @@ -5782,25 +5969,15 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1}; size_t local_work_size[] = {1, 1, 1}; - kernel = backend_ctx->kernel_restore_block_q4_0_noshuffle; - CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &buf_trans_q)); - CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &buf_trans_d)); - CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &data_device)); + cl_kernel kernel = backend_ctx->kernel_restore_block_q4_0_noshuffle; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &buf_trans_q.buffer)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &buf_trans_d.buffer)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &buf_unpacked.buffer)); CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_uchar), &mask_0F)); CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_uchar), &mask_F0)); - CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, - global_work_size, local_work_size, 0, NULL, NULL)); - - // read back to host - CL_CHECK(clEnqueueReadBuffer( - queue, data_device, CL_TRUE, offset, - size, data, 0, NULL, NULL)); - - CL_CHECK(clReleaseMemObject(data_device)); - CL_CHECK(clReleaseMemObject(buf_trans_q)); - CL_CHECK(clReleaseMemObject(buf_trans_d)); - + CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, NULL)); + CL_CHECK(clEnqueueReadBuffer(queue, buf_unpacked.buffer, CL_TRUE, offset, size, data, 0, NULL, NULL)); return; } #endif @@ -5832,6 +6009,36 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, ggml_tensor_extra_cl_q4_1 * extra = (ggml_tensor_extra_cl_q4_1 *)tensor->extra; #ifdef GGML_OPENCL_USE_ADRENO_KERNELS + if (use_adreno_moe_kernels(backend_ctx, tensor)) { + cl_int err; + cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE, + ggml_nbytes(tensor), NULL, &err); + CL_CHECK(err); + cl_kernel kernel = backend_ctx->kernel_restore_block_q4_1_trans4_ns; + + int ne00 = tensor->ne[0]; + int ne01 = tensor->ne[1]; + int ne02 = tensor->ne[2]; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->d)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->m)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &data_device)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_int), &ne01)); + + size_t global_work_size[3] = {static_cast(((ne01 + 63) / 64) * 64), static_cast(ne00 / 32), static_cast(ne02)}; + size_t local_work_size[3] = {64, 2, 1}; + + cl_event evt; + CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, + global_work_size, local_work_size, 0, NULL, &evt)); + CL_CHECK(clWaitForEvents(1, &evt)); + CL_CHECK(clEnqueueReadBuffer( + queue, data_device, CL_TRUE, offset, + size, data, 0, NULL, NULL)); + CL_CHECK(clReleaseMemObject(data_device)); + return; + } if (use_adreno_kernels(backend_ctx, tensor)) { static ggml_cl_buffer buf_trans_q; static ggml_cl_buffer buf_trans_m; @@ -5912,7 +6119,7 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, #ifdef GGML_OPENCL_USE_ADRENO_KERNELS if (use_adreno_moe_kernels(backend_ctx, tensor)) { - cl_kernel kernel = backend_ctx->kernel_restore_block_mxfp4_trans; + cl_kernel kernel = backend_ctx->kernel_restore_block_mxfp4_trans4_ns; int ne00 = tensor->ne[0]; int ne01 = tensor->ne[1]; @@ -5936,7 +6143,8 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, CL_CHECK(clReleaseMemObject(data_device)); return; } -#endif + +#endif // GGML_OPENCL_USE_ADRENO_KERNELS cl_kernel kernel = backend_ctx->kernel_restore_block_mxfp4; CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q)); CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->e)); @@ -6448,11 +6656,16 @@ static const char * ggml_backend_opencl_device_get_description(ggml_backend_dev_ } static void ggml_backend_opencl_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) { - // no memory to report - *free = 0; - *total = 0; + ggml_backend_opencl_device_context * dev_ctx = (ggml_backend_opencl_device_context *) dev->context; + ggml_backend_opencl_context * backend_ctx = (ggml_backend_opencl_context *) dev_ctx->backend_ctx; - GGML_UNUSED(dev); + static const size_t opencl_extra_margin = 1024ull*1024ull*1024ull; + + // OpenCL does not provide reliable currently-free device memory. + // Use total/global memory as a best-effort upper bound. + // Improved safety: Reduce by a 1GiB extra margin for common --fit + *total = backend_ctx->global_mem_size; + *free = *total > opencl_extra_margin ? *total - opencl_extra_margin : 0; } static enum ggml_backend_dev_type ggml_backend_opencl_device_get_type(ggml_backend_dev_t dev) { @@ -9758,6 +9971,169 @@ static void ggml_cl_mul_mat_f16_f32_tiled(ggml_backend_t backend, const ggml_ten backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size, local_work_size, dst); } +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS +static bool ggml_cl_can_use_adreno_xmem_gemm_f16_f32( + const ggml_backend_opencl_context * backend_ctx, + const ggml_tensor * src0, + const ggml_tensor * src1, + const ggml_tensor * dst) { + if (!backend_ctx->adreno_xmem_gemm_enabled) { + return false; + } + if (backend_ctx->gpu_family != GPU_FAMILY::ADRENO) { + return false; + } + if (src0->type != GGML_TYPE_F16 || src1->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) { + return false; + } + if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1) || !ggml_is_contiguous(dst)) { + return false; + } + if (src0->ne[2] != 1 || src0->ne[3] != 1 || + src1->ne[2] != 1 || src1->ne[3] != 1 || + dst->ne[2] != 1 || dst->ne[3] != 1) { + return false; + } + const int K = src0->ne[0]; + const int M = src0->ne[1]; + const int N = src1->ne[1]; + if (src1->ne[0] != K || dst->ne[0] != M || dst->ne[1] != N) { + return false; + } + if (N <= 1 || M < 64 || N < 16 || K < 64) { + return false; + } + if ((K % 8) != 0) { + return false; + } + const int kpack = K / 4; + const int npack = CEIL_DIV(M, 4); + if (static_cast(N) > backend_ctx->image2d_max_width || + static_cast(kpack) > backend_ctx->image2d_max_height) { + return false; + } + if (static_cast(N) > backend_ctx->image2d_max_width || + static_cast(npack) > backend_ctx->image2d_max_height) { + return false; + } + return true; +} + +static void ggml_cl_mul_mat_f16_f32_adreno_xmem( + ggml_backend_t backend, + const ggml_tensor * src0, + const ggml_tensor * src1, + ggml_tensor * dst) { + ggml_backend_opencl_context * backend_ctx = (ggml_backend_opencl_context *)backend->context; + + ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra; + ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra; + ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra; + + const cl_ulong offset0 = extra0->offset + src0->view_offs; + const cl_ulong offset1 = extra1->offset + src1->view_offs; + const cl_ulong offsetd = extrad->offset + dst->view_offs; + + const int K = src0->ne[0]; + const int M = src0->ne[1]; + const int N = src1->ne[1]; + const int kpack = K / 4; + const int npack = CEIL_DIV(M, 4); + const int os = 8; + + const size_t xmem_bytes = 6144; + const size_t weight_bytes = static_cast(kpack) * static_cast(npack) * 4u * sizeof(cl_half4); + + backend_ctx->prealloc_adreno_xmem_const.allocate(backend_ctx->context, xmem_bytes); + + cl_int err = CL_SUCCESS; + cl_image_format fmt = {}; + fmt.image_channel_order = CL_RGBA; + fmt.image_channel_data_type = CL_HALF_FLOAT; + + cl_image_desc desc_src = {}; + desc_src.image_type = CL_MEM_OBJECT_IMAGE2D; + desc_src.image_width = static_cast(N); + desc_src.image_height = static_cast(kpack); + cl_mem src_img = clCreateImage(backend_ctx->context, CL_MEM_READ_WRITE, &fmt, &desc_src, nullptr, &err); + CL_CHECK(err); + + cl_image_desc desc_dst = {}; + desc_dst.image_type = CL_MEM_OBJECT_IMAGE2D; + desc_dst.image_width = static_cast(N); + desc_dst.image_height = static_cast(npack); + cl_mem dst_img = clCreateImage(backend_ctx->context, CL_MEM_READ_WRITE, &fmt, &desc_dst, nullptr, &err); + CL_CHECK(err); + + cl_mem weights = clCreateBuffer(backend_ctx->context, CL_MEM_READ_WRITE, weight_bytes, nullptr, &err); + CL_CHECK(err); + + cl_kernel prepack = backend_ctx->kernel_adreno_xmem_prepack_weight_f16; + CL_CHECK(clSetKernelArg(prepack, 0, sizeof(cl_mem), &weights)); + CL_CHECK(clSetKernelArg(prepack, 1, sizeof(cl_mem), &extra0->data_device)); + CL_CHECK(clSetKernelArg(prepack, 2, sizeof(cl_ulong), &offset0)); + CL_CHECK(clSetKernelArg(prepack, 3, sizeof(int), &K)); + CL_CHECK(clSetKernelArg(prepack, 4, sizeof(int), &M)); + CL_CHECK(clSetKernelArg(prepack, 5, sizeof(int), &kpack)); + CL_CHECK(clSetKernelArg(prepack, 6, sizeof(int), &npack)); + CL_CHECK(clSetKernelArg(prepack, 7, sizeof(int), &os)); + size_t lws = 256; + size_t max_wg = backend_ctx->get_kernel_workgroup_size(prepack); + if (lws > max_wg) { + lws = max_wg; + } + size_t gws = CEIL_DIV(static_cast(kpack) * static_cast(npack), lws) * lws; + backend_ctx->enqueue_ndrange_kernel(prepack, 1, &gws, &lws, dst); + + cl_kernel pack_src = backend_ctx->kernel_adreno_xmem_pack_src_f32; + CL_CHECK(clSetKernelArg(pack_src, 0, sizeof(cl_mem), &extra1->data_device)); + CL_CHECK(clSetKernelArg(pack_src, 1, sizeof(cl_ulong), &offset1)); + CL_CHECK(clSetKernelArg(pack_src, 2, sizeof(cl_mem), &src_img)); + CL_CHECK(clSetKernelArg(pack_src, 3, sizeof(int), &K)); + CL_CHECK(clSetKernelArg(pack_src, 4, sizeof(int), &N)); + size_t pack_src_lws[2] = { 16, 16 }; + size_t pack_src_gws[2] = { + CEIL_DIV(static_cast(N), pack_src_lws[0])*pack_src_lws[0], + CEIL_DIV(static_cast(kpack), pack_src_lws[1])*pack_src_lws[1] + }; + backend_ctx->enqueue_ndrange_kernel(pack_src, 2, pack_src_gws, pack_src_lws, dst); + + cl_kernel gemm = backend_ctx->kernel_gemm_xmem_f16_f32_os8; + CL_CHECK(clSetKernelArg(gemm, 0, sizeof(cl_mem), &weights)); + CL_CHECK(clSetKernelArg(gemm, 1, sizeof(cl_mem), &backend_ctx->prealloc_adreno_xmem_const.buffer)); + CL_CHECK(clSetKernelArg(gemm, 2, sizeof(cl_mem), &src_img)); + CL_CHECK(clSetKernelArg(gemm, 3, sizeof(cl_mem), &dst_img)); + CL_CHECK(clSetKernelArg(gemm, 4, sizeof(int), &N)); + CL_CHECK(clSetKernelArg(gemm, 5, sizeof(int), &npack)); + CL_CHECK(clSetKernelArg(gemm, 6, sizeof(int), &kpack)); + const size_t z_values = CEIL_DIV(static_cast(npack), static_cast(os)); + size_t gemm_lws[3] = { 64, 1, 1 }; + size_t gemm_gws[3] = { + z_values*gemm_lws[0], + CEIL_DIV(static_cast(N), gemm_lws[0]), + 1 + }; + backend_ctx->enqueue_ndrange_kernel(gemm, 3, gemm_gws, gemm_lws, dst); + + cl_kernel store_dst = backend_ctx->kernel_adreno_xmem_store_dst_f32; + CL_CHECK(clSetKernelArg(store_dst, 0, sizeof(cl_mem), &dst_img)); + CL_CHECK(clSetKernelArg(store_dst, 1, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(store_dst, 2, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(store_dst, 3, sizeof(int), &M)); + CL_CHECK(clSetKernelArg(store_dst, 4, sizeof(int), &N)); + size_t store_lws[2] = { 16, 16 }; + size_t store_gws[2] = { + CEIL_DIV(static_cast(N), store_lws[0])*store_lws[0], + CEIL_DIV(static_cast(npack), store_lws[1])*store_lws[1] + }; + backend_ctx->enqueue_ndrange_kernel(store_dst, 2, store_gws, store_lws, dst); + + CL_CHECK(clReleaseMemObject(weights)); + CL_CHECK(clReleaseMemObject(dst_img)); + CL_CHECK(clReleaseMemObject(src_img)); +} +#endif // GGML_OPENCL_USE_ADRENO_KERNELS + static void ggml_cl_conv_2d(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_TENSOR_BINARY_OP_LOCALS; ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; @@ -9974,6 +10350,235 @@ static void ggml_cl_mul_mat_kq_kqv_adreno(ggml_backend_t backend, const ggml_ten CL_CHECK(clReleaseMemObject(D_sub_buffer)); } +static void ggml_cl_mul_mat_q4_0_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + GGML_ASSERT(src0); + GGML_ASSERT(src0->extra); + GGML_ASSERT(src1); + GGML_ASSERT(src1->extra); + GGML_ASSERT(dst); + GGML_ASSERT(dst->extra); + + ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; + + ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra; + ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra; + ggml_tensor_extra_cl_q4_0 * extra0_q4_0 = (ggml_tensor_extra_cl_q4_0 *)src0->extra; + + cl_ulong offset1 = extra1->offset + src1->view_offs; + cl_ulong offsetd = extrad->offset + dst->view_offs; + + const int ne00 = src0->ne[0]; + const int ne01 = src0->ne[1]; + const int ne02 = src0->ne[2]; + + const int ne10 = src1->ne[0]; + const int ne12 = src1->ne[2]; + + const int ne0 = dst->ne[0]; + const int ne1 = dst->ne[1]; + + GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0); + + cl_context context = backend_ctx->context; + cl_kernel kernel; + + cl_int err; + cl_image_format img_fmt; + cl_image_desc img_desc; + cl_buffer_region region; + + int M = ne01; + int N = ne1; + int K = ne00; + + if (ne1 == 1) { + cl_mem q_img = nullptr; + cl_mem b_sub_buf = nullptr; + cl_mem b_img = nullptr; + + // image for q + img_fmt = { CL_R, CL_UNSIGNED_INT32}; + memset(&img_desc, 0, sizeof(img_desc)); + img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; + img_desc.image_width = M * K / 2 / 4; + img_desc.buffer = extra0_q4_0->q; + CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err)); + + // subbuffer for activations + region.origin = offset1; + region.size = K * N * sizeof(float); + CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err), err)); + + // image for activations + img_fmt = {CL_RGBA, CL_FLOAT}; + memset(&img_desc, 0, sizeof(img_desc)); + img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; + img_desc.image_width = K * N / 4; + img_desc.buffer = b_sub_buf; + CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err)); + + kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32; + if (M == 4096 && K == 4096) { + kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_4096; + } else if (M == 4096 && K == 11008) { + kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_11008; + } else if (M == 11008 && K == 4096) { + kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_11008_1_4096; + } else if (M == 32000 && K == 4096) { + kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_32000_1_4096; + } + + int r2 = 1; + int r3 = 1; + + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &q_img)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra0_q4_0->d)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &b_img)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offset1)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, 8, sizeof(int), &ne02)); + CL_CHECK(clSetKernelArg(kernel, 9, sizeof(int), &ne10)); + CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int), &ne12)); + CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int), &ne0)); + CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int), &ne1)); + CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int), &r2)); + CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int), &r3)); + + size_t local_work_size[3] = {64, 4, 1}; + size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1}; + + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); + + CL_CHECK(clReleaseMemObject(q_img)); + CL_CHECK(clReleaseMemObject(b_sub_buf)); + CL_CHECK(clReleaseMemObject(b_img)); + } else { + cl_mem b_sub_buf = nullptr; + cl_mem b_sub_buf_trans = nullptr; + cl_mem b_img = nullptr; + cl_mem b_img_trans = nullptr; + cl_mem d_sub_buf = nullptr; + + // subbuffer for activations + region.origin = offset1; + region.size = K * N * sizeof(float); + CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err), err)); + + // image for activations + img_fmt = {CL_RGBA, CL_FLOAT}; + memset(&img_desc, 0, sizeof(img_desc)); + img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; + img_desc.image_width = K * N / 4; + img_desc.buffer = b_sub_buf; + CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err)); + + // pad N to multiple of 8 + int extra_elements = N % 8; + int padding = 0; + if (extra_elements > 0){ + padding = 8 - extra_elements; + } + + // subbuffer for transposed activations + region.origin = 0; + region.size = K * (N + padding) * sizeof(float)/2; + backend_ctx->prealloc_act_trans.allocate(context, region.size); + CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err), err)); + + // image for transposed activations + img_fmt = {CL_RGBA, CL_HALF_FLOAT}; + memset(&img_desc, 0, sizeof(img_desc)); + img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; + img_desc.image_width = K * (N + padding) / 4; + img_desc.buffer = b_sub_buf_trans; + CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err)); + + // subbuffer for output + region.origin = extrad->offset; // Specify the starting offset (in bytes) + region.size = M * N * sizeof(float); // Specify the size of the sub-buffer + CL_CHECK((d_sub_buf = clCreateSubBuffer(extrad->data_device, CL_MEM_WRITE_ONLY, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err), err)); + + // transpose activations + int height_B = N/4; + if (height_B == 0) { + height_B = 1; + } + int width_B = K/4; + int padded_height_B = (N + padding)/4; + + kernel = backend_ctx->kernel_transpose_32_16; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &height_B)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &width_B)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &padded_height_B)); + + size_t local_work_size_t[2] = { 1, 16 }; + size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B }; + if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) { + local_work_size_t[0]=4; + local_work_size_t[1]=8; + } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) { + local_work_size_t[0]=2; + local_work_size_t[1]=8; + } else if(ne0 == 4096 && ne1 == 128 && ne10 == 11008) { + local_work_size_t[0]=1; + local_work_size_t[1]=8; + } else if(ne0 == 32000 && ne1 == 128 && ne10 == 4096) { + local_work_size_t[0]=2; + local_work_size_t[1]=8; + } + backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst); + + // gemm + kernel = backend_ctx->kernel_gemm_noshuffle_q4_0_f32; + int padded_N = N + padding; + + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0_q4_0->q)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra0_q4_0->d)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &b_img_trans)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &d_sub_buf)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_int), &padded_N)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int), &ne1)); + + size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1}; + size_t local_work_size[3] = {1, 128, 1}; + if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) { + local_work_size[0] = 1; + local_work_size[1] = 128; + } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) { + local_work_size[0] = 2; + local_work_size[1] = 64; + } else if (ne0 == 4096 && ne1 == 128 && ne10 == 11008) { + local_work_size[0] = 2; + local_work_size[1] = 64; + } else if (ne0 == 32000 && ne1 == 128 && ne10 == 4096) { + local_work_size[0] = 2; + local_work_size[1] = 64; + } + + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); + + CL_CHECK(clReleaseMemObject(b_sub_buf)); + CL_CHECK(clReleaseMemObject(b_sub_buf_trans)); + CL_CHECK(clReleaseMemObject(b_img)); + CL_CHECK(clReleaseMemObject(b_img_trans)); + CL_CHECK(clReleaseMemObject(d_sub_buf)); + } +#else + GGML_UNUSED(backend); + GGML_UNUSED(src0); + GGML_UNUSED(src1); + GGML_UNUSED(dst); +#endif +} + static void ggml_cl_mul_mat_q4_1_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef GGML_OPENCL_USE_ADRENO_KERNELS GGML_ASSERT(src0); @@ -10396,7 +11001,7 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t img_desc.buffer = b_sub_buf; CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err)); - kernel = backend_ctx->CL_mul_mat_vec_q8_0_f32; + kernel = backend_ctx->kernel_gemv_noshuffle_q8_0_f32; int r2 = 1; int r3 = 1; @@ -10486,7 +11091,7 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst); // gemm - kernel = backend_ctx->kernel_mul_mm_q8_0_f32_8x4; + kernel = backend_ctx->kernel_gemm_noshuffle_q8_0_f32; int padded_N = N + padding; CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0_q8_0->q)); @@ -11096,8 +11701,8 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co GGML_ASSERT(dst); GGML_ASSERT(dst->extra); - const enum ggml_type src0t = src0 ? src0->type : GGML_TYPE_COUNT; - const enum ggml_type src1t = src1 ? src1->type : GGML_TYPE_COUNT; + const enum ggml_type src0t = src0->type; + const enum ggml_type src1t = src1->type; ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; @@ -11120,28 +11725,12 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co ggml_tensor_extra_cl_q6_K * extra0_q6_K = (ggml_tensor_extra_cl_q6_K *)src0->extra; #endif - const int ne00 = src0 ? src0->ne[0] : 0; - const int ne01 = src0 ? src0->ne[1] : 0; - const int ne02 = src0 ? src0->ne[2] : 0; - const int ne03 = src0 ? src0->ne[3] : 0; - - const cl_ulong nb00 = src0 ? src0->nb[0] : 0; - const cl_ulong nb01 = src0 ? src0->nb[1] : 0; - const cl_ulong nb02 = src0 ? src0->nb[2] : 0; - const cl_ulong nb03 = src0 ? src0->nb[3] : 0; - - const int ne10 = src1 ? src1->ne[0] : 0; - const int ne11 = src1 ? src1->ne[1] : 0; - const int ne12 = src1 ? src1->ne[2] : 0; - const int ne13 = src1 ? src1->ne[3] : 0; - - const cl_ulong nb10 = src1 ? src1->nb[0] : 0; - const cl_ulong nb11 = src1 ? src1->nb[1] : 0; - const cl_ulong nb12 = src1 ? src1->nb[2] : 0; - const cl_ulong nb13 = src1 ? src1->nb[3] : 0; - - const int ne0 = dst ? dst->ne[0] : 0; - const int ne1 = dst ? dst->ne[1] : 0; + GGML_TENSOR_LOCALS(int, ne0, src0, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb); + GGML_TENSOR_LOCALS(int, ne1, src1, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb1, src1, nb); + GGML_TENSOR_LOCALS(int, ne, dst, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb, dst, nb); int r2 = ne12/ne02; int r3 = ne13/ne03; @@ -11157,8 +11746,6 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co cl_kernel kernel; #ifdef GGML_OPENCL_USE_ADRENO_KERNELS - cl_context context = backend_ctx->context; - if(src0t == GGML_TYPE_F16 && src1t == GGML_TYPE_F32){ if (ne01 >= 64 && ne1 >= 32 && ne00 >= 16 && (ne12 % ne02) == 0 && // dst is wrapped with image1d_buffer, the size limit applies, also src0 @@ -11185,340 +11772,52 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co } if (ne01 && ne1 && use_adreno_kernels(backend_ctx, src0)) { + // NOTE: Kernels using image1d_buffer_t (e.g., src0_q) would normally require + // a limit check, but q4_0 / q4_1 tensors are very unlikely to exceed that + // limit, so the check is omitted. - // init CL objects - // <--------------------------------------------> // - cl_int status; - cl_image_format img_fmt_1d; - cl_image_desc img_desc_1d; - cl_buffer_region region; - cl_mem A_image1d = nullptr; - cl_mem B_image1d = nullptr; - cl_mem B_sub_buffer = nullptr; - cl_mem C_d = nullptr; - // for B transpose - cl_mem B_d = nullptr; - cl_mem B_d_input_image = nullptr; - // <--------------------------------------------> // + // q4_0 x fp32 + if(src0t == GGML_TYPE_Q4_0 && src1t == GGML_TYPE_F32) { + ggml_cl_mul_mat_q4_0_f32_adreno(backend, src0, src1, dst); + return; + } - // define matrix dimensions - // <--------------------------------------------> // - int M = ne01; - int N = ne1; - int K = ne00; - int padding; - // <--------------------------------------------> // - - // NOTE: Kernels using image1d_buffer_t (e.g., src0_q) would normally require - // a limit check, but q4_0 / q4_1 tensors are very unlikely to exceed that - // limit, so the check is omitted. - - // q4_1 x fp32 - if (src0t == GGML_TYPE_Q4_1 && src1t == GGML_TYPE_F32) { + // q4_1 x fp32 + if (src0t == GGML_TYPE_Q4_1 && src1t == GGML_TYPE_F32) { ggml_cl_mul_mat_q4_1_f32_adreno(backend, src0, src1, dst); return; - } + } - // iq4_nl x fp32 - if (src0t == GGML_TYPE_IQ4_NL && src1t == GGML_TYPE_F32) { - ggml_cl_mul_mat_iq4_nl_f32_adreno(backend, src0, src1, dst); - return; - } - - // q8_0 x fp32 - if (src0t == GGML_TYPE_Q8_0 && src1t == GGML_TYPE_F32 && - enable_adreno_trans_weight(backend_ctx, src0)) { - ggml_cl_mul_mat_q8_0_f32_adreno(backend, src0, src1, dst); + // iq4_nl x fp32 + if (src0t == GGML_TYPE_IQ4_NL && src1t == GGML_TYPE_F32) { + ggml_cl_mul_mat_iq4_nl_f32_adreno(backend, src0, src1, dst); return; - } + } - // q4_k x fp32 - if (src0t == GGML_TYPE_Q4_K && src1t == GGML_TYPE_F32) { + // q8_0 x fp32 + if (src0t == GGML_TYPE_Q8_0 && src1t == GGML_TYPE_F32 && + enable_adreno_trans_weight(backend_ctx, src0)) { + ggml_cl_mul_mat_q8_0_f32_adreno(backend, src0, src1, dst); + return; + } + + // q4_k x fp32 + if (src0t == GGML_TYPE_Q4_K && src1t == GGML_TYPE_F32) { ggml_cl_mul_mat_q4_k_f32_adreno(backend, src0, src1, dst); return; - } - - // q6_K x fp32 - if (src0t == GGML_TYPE_Q6_K && src1t == GGML_TYPE_F32) { - ggml_cl_mul_mat_q6_K_f32_adreno(backend, src0, src1, dst); - return; - } - - // q5_K x fp32 - if (src0t == GGML_TYPE_Q5_K && src1t == GGML_TYPE_F32) { - ggml_cl_mul_mat_q5_K_f32_adreno(backend, src0, src1, dst); - return; - } - - // q4_0 x fp32 - if(src0t == GGML_TYPE_Q4_0 && src1t == GGML_TYPE_F32) { - // TODO: remove duplicate definitions of image description + format -- move to top - - // create an image for A - // <--------------------------------------------> // - if (N == 1) { - img_fmt_1d = { CL_R, CL_UNSIGNED_INT32}; - } else { - img_fmt_1d = { CL_R, CL_FLOAT}; - } - memset(&img_desc_1d, 0, sizeof(img_desc_1d)); - img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; - img_desc_1d.image_width = M * K / 2 / 4; // Divide by 4 for char -> float - img_desc_1d.buffer = extra0_q4_0->q; - A_image1d = clCreateImage( - context, - CL_MEM_READ_ONLY, - &img_fmt_1d, - &img_desc_1d, - NULL, - &status); - CL_CHECK(status); - // <--------------------------------------------> // - - - // create a sub_buffer for B - // <--------------------------------------------> // - region.origin = (extra1->offset); - region.size = K * N * sizeof(float); - B_sub_buffer = clCreateSubBuffer( - extra1->data_device, - 0, - CL_BUFFER_CREATE_TYPE_REGION, - ®ion, - &status); - CL_CHECK(status); - // <--------------------------------------------> // - - // transpose activation for Skyler's gemm - if (N != 1) { - //how many extra elements beyond multiple of 8 - int extra_elements = N % 8; - - //how much padding to add - padding = 0; - if (extra_elements > 0){ - padding = 8 - extra_elements; - } - - // Specify the starting offset (in bytes) - region.origin = 0; - // Specify the size of the sub-buffer (divide by 2 for FP16) - region.size = K * (N + padding) * sizeof(float)/2; - backend_ctx->prealloc_act_trans.allocate(context, region.size); - - B_d = clCreateSubBuffer( - backend_ctx->prealloc_act_trans.buffer, - 0, - CL_BUFFER_CREATE_TYPE_REGION, - ®ion, - &status); - CL_CHECK(status); - - cl_image_format image_format_B_d_input = { CL_RGBA, CL_FLOAT }; - cl_image_desc image_desc_B_d_input = { - CL_MEM_OBJECT_IMAGE1D_BUFFER, - static_cast(K * N / 4), - 0, 0, 0, 0, 0, 0, 0, { B_sub_buffer } - }; - B_d_input_image = clCreateImage( - context, - 0, - &image_format_B_d_input, - &image_desc_B_d_input, - NULL, - &status); - CL_CHECK(status); - - cl_image_format image_format_B_d_output = { CL_RGBA, CL_HALF_FLOAT }; //(CL_HALF_FLOAT for FP16) - cl_image_desc image_desc_B_d_output = { - CL_MEM_OBJECT_IMAGE1D_BUFFER, - static_cast(K * (N + padding)/4), - 0, 0, 0, 0, 0, 0, 0, { B_d } - }; - B_image1d = clCreateImage( - context, - 0, - &image_format_B_d_output, - &image_desc_B_d_output, - NULL, - &status); - CL_CHECK(status); - - int height_B = N/4; - if (height_B == 0) { - height_B = 1; - } - int width_B = K/4; - int padded_height_B = (N + padding)/4; - - kernel = backend_ctx->kernel_transpose_32_16; - CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &B_d_input_image)); - CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &B_image1d)); - CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &height_B)); - CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &width_B)); - CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &padded_height_B)); - - size_t local_size_t[2] = { 1, 16 }; - //WGS tuning - if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) { - local_size_t[0]=4; - local_size_t[1]=8; - } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) { - local_size_t[0]=2; - local_size_t[1]=8; - } else if(ne0 == 4096 && ne1 == 128 && ne10 == 11008) { - local_size_t[0]=1; - local_size_t[1]=8; - } else if(ne0 == 32000 && ne1 == 128 && ne10 == 4096) { - local_size_t[0]=2; - local_size_t[1]=8; - } - - size_t global_size_t[2] = { - static_cast(width_B), - static_cast(padded_height_B) - }; - - backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_size_t, local_size_t, dst); - } else { - // no need to transpose B in other cases - // create an image for B from sub_buffer - // <--------------------------------------------> // - img_fmt_1d = {CL_RGBA, CL_FLOAT}; - - memset(&img_desc_1d, 0, sizeof(img_desc_1d)); - img_desc_1d.image_width = K * N / 4; - img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER; - img_desc_1d.buffer = B_sub_buffer; - B_image1d = clCreateImage( - context, - CL_MEM_READ_ONLY, - &img_fmt_1d, - &img_desc_1d, - NULL, - &status); - CL_CHECK(status); - // <--------------------------------------------> // } - // choose gemm or gemv kernel - // <--------------------------------------------> // - if (N == 1) { - kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_general; - if (M == 4096 && K == 4096) { - kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_4096; - } else if (M == 4096 && K == 11008) { - kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_11008; - } else if (M == 11008 && K == 4096) { - kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_11008_1_4096; - } else if (M == 32000 && K == 4096) { - kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_32000_1_4096; - } - } else { - kernel = backend_ctx->CL_mul_mat_Ab_Bi_8x4; - } - // <--------------------------------------------> // - - // set kernel args - // <--------------------------------------------> // - cl_uint k_arg = 0; - - if (N == 1) { - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(cl_mem), &A_image1d)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(cl_mem), &extra0_q4_0->d)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(cl_mem), &B_image1d)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(cl_ulong), &extra1->offset)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(cl_mem), &extrad->data_device)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(cl_ulong), &extrad->offset)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &ne00)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &ne01)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &ne02)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &ne10)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &ne12)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &ne0)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &ne1)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &r2)); - CL_CHECK(clSetKernelArg(kernel, k_arg++, sizeof(int), &r3)); - } else { - region.origin = extrad->offset; // Specify the starting offset (in bytes) - region.size = M * N * sizeof(float); // Specify the size of the sub-buffer - C_d = clCreateSubBuffer(extrad->data_device, CL_MEM_WRITE_ONLY, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); - CL_CHECK(status); - - int padded_N = ne1 + padding; - - CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0_q4_0->q)); //A_q_dextra0_q4_0->q - CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra0_q4_0->d)); //A_s_d - CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &B_image1d)); //B_d - CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &C_d)); //C_d - CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne01)); //M - CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &padded_N)); //N with padding - CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne00)); //K - CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne1)); //N without padding - } - // <--------------------------------------------> // - - // choose workgroup size - // <--------------------------------------------> // - size_t global_work_size[3] = { - 64, static_cast((M+63)/64), static_cast((N+31)/32)}; - size_t local_work_size[3] = {64, 2, 4}; - - global_work_size[0] = (size_t)(ceil((float)ne1/8)); - global_work_size[1] = (size_t)(ne01/4); - global_work_size[2] = (size_t)(1); - - local_work_size[0] = (size_t)(1); //4x32 for FP32 - local_work_size[1] = (size_t)(128); - local_work_size[2] = (size_t)(1); - - //WGS tuning - if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) { - local_work_size[0] = 1; - local_work_size[1] = 128; - } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) { - local_work_size[0] = 2; - local_work_size[1] = 64; - } else if (ne0 == 4096 && ne1 == 128 && ne10 == 11008) { - local_work_size[0] = 2; - local_work_size[1] = 64; - } else if (ne0 == 32000 && ne1 == 128 && ne10 == 4096) { - local_work_size[0] = 2; - local_work_size[1] = 64; + // q6_K x fp32 + if (src0t == GGML_TYPE_Q6_K && src1t == GGML_TYPE_F32) { + ggml_cl_mul_mat_q6_K_f32_adreno(backend, src0, src1, dst); + return; } - if (N == 1) { - size_t wavesize = backend_ctx->adreno_wave_size; - local_work_size[0] = wavesize; // localsize - local_work_size[1] = 4; // reduce factor - local_work_size[2] = 1; - - global_work_size[0] = (((M / 2) + wavesize - 1) / wavesize) * wavesize; - global_work_size[1] = 4; // reduce factor - global_work_size[2] = 1; + // q5_K x fp32 + if (src0t == GGML_TYPE_Q5_K && src1t == GGML_TYPE_F32) { + ggml_cl_mul_mat_q5_K_f32_adreno(backend, src0, src1, dst); + return; } - // <--------------------------------------------> // - - // enqueue kernel with profiling - // <--------------------------------------------> // - backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); - // <--------------------------------------------> // - - // deallocate sub buffers and images - // <--------------------------------------------> // - CL_CHECK(clReleaseMemObject(A_image1d)); - CL_CHECK(clReleaseMemObject(B_sub_buffer)); - CL_CHECK(clReleaseMemObject(B_image1d)); - - if (N != 1) { - CL_CHECK(clReleaseMemObject(B_d)); - CL_CHECK(clReleaseMemObject(B_d_input_image)); - CL_CHECK(clReleaseMemObject(C_d)); - } - // <--------------------------------------------> // - - return; - } } // if (ne01 && ne1) #endif // GGML_OPENCL_USE_ADRENO_KERNELS @@ -11596,6 +11895,12 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co return; } case GGML_TYPE_F16: { +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + if (ggml_cl_can_use_adreno_xmem_gemm_f16_f32(backend_ctx, src0, src1, dst)) { + ggml_cl_mul_mat_f16_f32_adreno_xmem(backend, src0, src1, dst); + return; + } +#endif kernel = backend_ctx->kernel_mul_mm_f16_f32_l4_lm; nth0 = 128; // calculated as (BM*BN)/(TM*TN) @@ -12763,6 +13068,118 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co } } +static void moe_router_reoerder(ggml_backend_t backend, const ggml_tensor * src, int ne20) { + cl_int err; + ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; + + ggml_tensor_extra_cl * extra = (ggml_tensor_extra_cl *)src->extra; + cl_ulong offset = extra->offset + src->view_offs; + + const int ne21 = src->ne[1]; + const int nb21 = src->nb[1]; + const int ne02 = nb21 / src->nb[0]; + const int n_tile_size = 32; + const int max_post_router_tile = (ne20 * ne21 / n_tile_size) + ne02; + + cl_buffer_region region; + region.origin = offset; + region.size = nb21 * ne21; + cl_mem original_router_buf = clCreateSubBuffer(extra->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); + CL_CHECK(err); + + backend_ctx->prealloc_post_router.allocate(backend_ctx->context, sizeof(int) * max_post_router_tile * n_tile_size); + region.origin = 0; + region.size = sizeof(int) * max_post_router_tile * n_tile_size; + cl_mem post_router_buf = clCreateSubBuffer(backend_ctx->prealloc_post_router.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); + CL_CHECK(err); + + backend_ctx->prealloc_emap.allocate(backend_ctx->context, sizeof(short) * max_post_router_tile); + region.origin = 0; + region.size = sizeof(short) * max_post_router_tile; + cl_mem emap_buf = clCreateSubBuffer(backend_ctx->prealloc_emap.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); + CL_CHECK(err); + + backend_ctx->prealloc_hist.allocate(backend_ctx->context, sizeof(int) * ne02); + region.origin = 0; + region.size = sizeof(int) * ne02; + cl_mem hist_buf = clCreateSubBuffer(backend_ctx->prealloc_hist.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); + CL_CHECK(err); + + backend_ctx->prealloc_tile_offset.allocate(backend_ctx->context, sizeof(int) * ne02); + region.origin = 0; + region.size = sizeof(int) * ne02; + cl_mem tile_offset_buf = clCreateSubBuffer(backend_ctx->prealloc_tile_offset.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); + CL_CHECK(err); + + backend_ctx->prealloc_slot_counter.allocate(backend_ctx->context, sizeof(int) * ne02); + region.origin = 0; + region.size = sizeof(int) * ne02; + cl_mem slot_counter_buf = clCreateSubBuffer(backend_ctx->prealloc_slot_counter.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); + CL_CHECK(err); + + backend_ctx->prealloc_total_tiles.allocate(backend_ctx->context, sizeof(int)); + region.origin = 0; + region.size = sizeof(int); + cl_mem total_tiles_buf = clCreateSubBuffer(backend_ctx->prealloc_total_tiles.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &err); + CL_CHECK(err); + + // Histogram + cl_kernel kernel = backend_ctx->kernel_moe_histogram; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &original_router_buf)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &hist_buf)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &ne21)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &ne20)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne02)); + + size_t histogram_global_size[] = {(size_t)(((ne21 + 63) / 64) * 64), static_cast(ne20), 1}; + size_t histogram_local_size[] = {64, static_cast(ne20), 1}; + backend_ctx->enqueue_ndrange_kernel(kernel, 3, histogram_global_size, histogram_local_size, src); + + // Scan + kernel = backend_ctx->kernel_moe_scan; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &hist_buf)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &tile_offset_buf)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &total_tiles_buf)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &slot_counter_buf)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &n_tile_size)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne02)); + + size_t scan_global_size[] = {1}; + size_t scan_local_size[] = {1}; + backend_ctx->enqueue_ndrange_kernel(kernel, 1, scan_global_size, scan_local_size, src); + + // Fill + kernel = backend_ctx->kernel_moe_fill; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &post_router_buf)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &total_tiles_buf)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &n_tile_size)); + + size_t fill_global_size[] = {(size_t)(((max_post_router_tile + 63) / 64) * 64), n_tile_size, 1}; + size_t fill_local_size[] = {64, 1, 1}; + backend_ctx->enqueue_ndrange_kernel(kernel, 3, fill_global_size, fill_local_size, src); + + // Scatter + kernel = backend_ctx->kernel_moe_scatter; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &original_router_buf)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &post_router_buf)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &emap_buf)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &tile_offset_buf)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &slot_counter_buf)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne21)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne20)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne02)); + + backend_ctx->enqueue_ndrange_kernel(kernel, 3, histogram_global_size, histogram_local_size, src); + + CL_CHECK(clReleaseMemObject(original_router_buf)); + CL_CHECK(clReleaseMemObject(hist_buf)); + CL_CHECK(clReleaseMemObject(tile_offset_buf)); + CL_CHECK(clReleaseMemObject(total_tiles_buf)); + CL_CHECK(clReleaseMemObject(slot_counter_buf)); + CL_CHECK(clReleaseMemObject(post_router_buf)); + CL_CHECK(clReleaseMemObject(emap_buf)); +} + static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_ASSERT(src0); GGML_ASSERT(src0->extra); @@ -12791,6 +13208,7 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, #ifdef GGML_OPENCL_SOA_Q ggml_tensor_extra_cl_q4_0 * extra0_q4_0 = (ggml_tensor_extra_cl_q4_0 *)src0->extra; + ggml_tensor_extra_cl_q4_1 * extra0_q4_1 = (ggml_tensor_extra_cl_q4_1 *)src0->extra; ggml_tensor_extra_cl_mxfp4 * extra0_mxfp4 = (ggml_tensor_extra_cl_mxfp4 *)src0->extra; ggml_tensor_extra_cl_q8_0 * extra0_q8_0 = (ggml_tensor_extra_cl_q8_0 *)src0->extra; #endif @@ -12824,6 +13242,7 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, const int ne0 = dst->ne[0]; const int ne1 = dst->ne[1]; + const int ne2 = dst->ne[2]; const int r2 = ne12/ne02; const int r3 = ne13/ne03; @@ -12836,11 +13255,187 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, int nrows = 1; // number of row in src1 int ndst = 4; // number of values produced by each subgroup + const int n_tile_size = 32; + const int max_post_router_tile = (ne20 * ne21 / n_tile_size) + ne02; + cl_kernel kernel; // subgroup mat vec switch (src0->type) { case GGML_TYPE_Q4_0: { +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + if (use_adreno_moe_kernels(backend_ctx, src0)) { + cl_int status; + + size_t local_size[3] = {64, 2, 1}; + size_t global_size[3] = {64, 2, 1}; + + if (ne12 == 1) { // for gemv + kernel = backend_ctx->kernel_gemv_moe_q4_0_f32_ns; + + cl_mem src1_sub_buffer, buf_src1_image, buf_src2; + + // create a sub_buffer for src2 + cl_buffer_region region; + region.origin = offset2; + region.size = ne20 * ne21 * sizeof(int); + buf_src2 = clCreateSubBuffer(extra2->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // set thread grid + global_size[0] = static_cast(ne01); + global_size[1] = 4; + global_size[2] = static_cast(ne20); + local_size[1] = 4; + + // create a sub_buffer for src1 + region.origin = offset1; + region.size = ne10 * ne11 * ne12 * sizeof(float); + src1_sub_buffer = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // create image for src1 + cl_image_format image_format_buf_src1 = {CL_RGBA, CL_FLOAT}; + cl_image_desc image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne10 * ne11 * ne12 / 4), 0,0,0,0,0,0,0, {src1_sub_buffer}}; + buf_src1_image = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status); + CL_CHECK(status); + + // Set kernel args + int arg_idx = 0; + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_0->q)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_0->d)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src1_image)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne11)); + + // launch kernel + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst); + + // deallocate sub buffers and images + CL_CHECK(clReleaseMemObject(src1_sub_buffer)); + CL_CHECK(clReleaseMemObject(buf_src1_image)); + CL_CHECK(clReleaseMemObject(buf_src2)); + + } else { // for gemm + kernel = backend_ctx->kernel_gemm_moe_q4_0_f32_ns; + + // Reorder router if called from test-backend-ops or when new router is generated. + // Otherwise reuse the reordered result from previous mul_mat_id call. + if ((strstr(src0->name, "as") != NULL) || backend_ctx->toggle_reorder) { + moe_router_reoerder(backend, src2, ne20); + backend_ctx->toggle_reorder = false; + } + + cl_mem sub_buf_src1_pre, buf_src1_reordered, image_src1_reordered, sub_buf_dst, buf_dst_image; + cl_mem buf_src2, buf_src2_emap; + + cl_buffer_region region; + region.origin = 0; + region.size = sizeof(int) * max_post_router_tile * n_tile_size; + buf_src2 = clCreateSubBuffer(backend_ctx->prealloc_post_router.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + region.origin = 0; + region.size = sizeof(short) * max_post_router_tile; + buf_src2_emap = clCreateSubBuffer(backend_ctx->prealloc_emap.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // Reorder activations + // create a sub_buffer for src1 + region.origin = offset1; + region.size = ne10 * ne11 * ne12 * sizeof(float); + sub_buf_src1_pre = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // Create image for reordered src1 + // Use pre-allocated placeholder + region.origin = 0; + region.size = ne00 * max_post_router_tile * n_tile_size * sizeof(float); + backend_ctx->prealloc_act_trans.allocate(backend_ctx->context, region.size); + buf_src1_reordered = clCreateSubBuffer( + backend_ctx->prealloc_act_trans.buffer, + 0, + CL_BUFFER_CREATE_TYPE_REGION, + ®ion, + &status); + CL_CHECK(status); + cl_image_format image_format_buf_src1; + cl_image_desc image_desc_buf_src1; + image_format_buf_src1 = {CL_RGBA, CL_FLOAT}; + image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne00 * max_post_router_tile * n_tile_size / 4), 0,0,0,0,0,0,0, {buf_src1_reordered}}; + image_src1_reordered = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status); + CL_CHECK(status); + + unsigned short map_ratio = ne20 / ne11; + GGML_ASSERT(((map_ratio == 1) || (map_ratio == ne20)) && "Map ratio not supported\n"); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 0, sizeof(cl_mem), &sub_buf_src1_pre)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 1, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 2, sizeof(cl_mem), &buf_src1_reordered)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 3, sizeof(cl_mem), &(backend_ctx->prealloc_total_tiles.buffer))); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 4, sizeof(unsigned int), &ne00)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 5, sizeof(unsigned short), &map_ratio)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 6, sizeof(unsigned int), &n_tile_size)); + + size_t reorder_b_local_size[3] = {256, 1, 1}; + size_t reorder_b_global_size[3] = {static_cast(((ne00 / 4) + 255) / 256 * 256), static_cast(max_post_router_tile * n_tile_size), 1}; + + // Dispatch reorder kernel + backend_ctx->enqueue_ndrange_kernel(backend_ctx->kernel_moe_reorder_b, 3, reorder_b_global_size, reorder_b_local_size, dst); + + // MoE kernel prepare + // Create sub buffer for dst + region.origin = offsetd; + region.size = ne0 * ne1 * ne2 * sizeof(float); + sub_buf_dst = clCreateSubBuffer( + extrad->data_device, + 0, + CL_BUFFER_CREATE_TYPE_REGION, + ®ion, + &status); + CL_CHECK(status); + // Create image for dst + cl_image_format image_format_buf_dst = {CL_R, CL_FLOAT}; + cl_image_desc image_desc_buf_dst = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne0 * ne1 * ne2), 0,0,0,0,0,0,0, {sub_buf_dst}}; + buf_dst_image = clCreateImage(backend_ctx->context, CL_MEM_WRITE_ONLY, &image_format_buf_dst, &image_desc_buf_dst, NULL, &status); + CL_CHECK(status); + + // Set kernel args + int arg_idx = 0; + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_0->q_img)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_0->d)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &image_src1_reordered)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2_emap)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_dst_image)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &(backend_ctx->prealloc_total_tiles.buffer))); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne01)); + + // set thread grid + global_size[1] = static_cast((ne01 + 63) / 64); + global_size[2] = static_cast(max_post_router_tile); + local_size[1] = 1; + local_size[2] = 1; + + // Dispatch kernel + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst); + + clReleaseMemObject(sub_buf_src1_pre); + clReleaseMemObject(buf_src1_reordered); + clReleaseMemObject(image_src1_reordered); + clReleaseMemObject(buf_src2); + clReleaseMemObject(buf_src2_emap); + clReleaseMemObject(sub_buf_dst); + clReleaseMemObject(buf_dst_image); + } + return; + } // fallback to generic Q4_0 MoE kernel + +#endif // GGML_OPENCL_USE_ADRENO_KERNELS kernel = backend_ctx->kernel_mul_mv_id_q4_0_f32_8x_flat; if (backend_ctx->gpu_family == INTEL) { @@ -12883,6 +13478,179 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, break; } + case GGML_TYPE_Q4_1: { +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + if (use_adreno_moe_kernels(backend_ctx, src0)) { + cl_int status; + + size_t local_size[3] = {64, 2, 1}; + size_t global_size[3] = {64, 2, 1}; + + if (ne12 == 1) { // for gemv + kernel = backend_ctx->kernel_gemv_moe_q4_1_f32_ns; + + cl_mem src1_sub_buffer, buf_src1_image, buf_src2; + + // create a sub_buffer for src2 + cl_buffer_region region; + region.origin = offset2; + region.size = ne20 * ne21 * sizeof(int); + buf_src2 = clCreateSubBuffer(extra2->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // set thread grid + global_size[0] = static_cast(ne01); + global_size[1] = 4; + global_size[2] = static_cast(ne20); + local_size[1] = 4; + + // create a sub_buffer for src1 + region.origin = offset1; + region.size = ne10 * ne11 * ne12 * sizeof(float); + src1_sub_buffer = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // create image for src1 + cl_image_format image_format_buf_src1 = {CL_RGBA, CL_FLOAT}; + cl_image_desc image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne10 * ne11 * ne12 / 4), 0,0,0,0,0,0,0, {src1_sub_buffer}}; + buf_src1_image = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status); + CL_CHECK(status); + + // Set kernel args + int arg_idx = 0; + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_1->q)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_1->d)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_1->m)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src1_image)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne11)); + + // launch kernel + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst); + + // deallocate sub buffers and images + CL_CHECK(clReleaseMemObject(src1_sub_buffer)); + CL_CHECK(clReleaseMemObject(buf_src1_image)); + CL_CHECK(clReleaseMemObject(buf_src2)); + + } else { // for gemm + kernel = backend_ctx->kernel_gemm_moe_q4_1_f32_ns; + + if (strstr(src0->name, "as") != NULL) { + moe_router_reoerder(backend, src2, ne20); + } + + cl_mem sub_buf_src1_pre, buf_src1_reordered, image_src1_reordered, sub_buf_dst, buf_dst_image; + cl_mem buf_src2, buf_src2_emap; + + cl_buffer_region region; + region.origin = 0; + region.size = sizeof(int) * max_post_router_tile * n_tile_size; + buf_src2 = clCreateSubBuffer(backend_ctx->prealloc_post_router.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + region.origin = 0; + region.size = sizeof(short) * max_post_router_tile; + buf_src2_emap = clCreateSubBuffer(backend_ctx->prealloc_emap.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // Reorder activations + // create a sub_buffer for src1 + region.origin = offset1; + region.size = ne10 * ne11 * ne12 * sizeof(float); + sub_buf_src1_pre = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // Create image for reordered src1 + // Use pre-allocated placeholder + region.origin = 0; + region.size = ne00 * max_post_router_tile * n_tile_size * sizeof(float); + backend_ctx->prealloc_act_trans.allocate(backend_ctx->context, region.size); + buf_src1_reordered = clCreateSubBuffer( + backend_ctx->prealloc_act_trans.buffer, + 0, + CL_BUFFER_CREATE_TYPE_REGION, + ®ion, + &status); + CL_CHECK(status); + cl_image_format image_format_buf_src1; + cl_image_desc image_desc_buf_src1; + image_format_buf_src1 = {CL_RGBA, CL_FLOAT}; + image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne00 * max_post_router_tile * n_tile_size / 4), 0,0,0,0,0,0,0, {buf_src1_reordered}}; + image_src1_reordered = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status); + CL_CHECK(status); + + unsigned short map_ratio = ne20 / ne11; + GGML_ASSERT(((map_ratio == 1) || (map_ratio == ne20)) && "Map ratio not supported\n"); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 0, sizeof(cl_mem), &sub_buf_src1_pre)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 1, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 2, sizeof(cl_mem), &buf_src1_reordered)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 3, sizeof(cl_mem), &(backend_ctx->prealloc_total_tiles.buffer))); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 4, sizeof(unsigned int), &ne00)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 5, sizeof(unsigned short), &map_ratio)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 6, sizeof(unsigned int), &n_tile_size)); + + size_t reorder_b_local_size[3] = {256, 1, 1}; + size_t reorder_b_global_size[3] = {static_cast(((ne00 / 4) + 255) / 256 * 256), static_cast(max_post_router_tile * n_tile_size), 1}; + + // Dispatch reorder kernel + backend_ctx->enqueue_ndrange_kernel(backend_ctx->kernel_moe_reorder_b, 3, reorder_b_global_size, reorder_b_local_size, dst); + + // MoE kernel prepare + // Create sub buffer for dst + region.origin = offsetd; + region.size = ne0 * ne1 * ne2 * sizeof(float); + sub_buf_dst = clCreateSubBuffer( + extrad->data_device, + 0, + CL_BUFFER_CREATE_TYPE_REGION, + ®ion, + &status); + CL_CHECK(status); + // Create image for dst + cl_image_format image_format_buf_dst = {CL_R, CL_FLOAT}; + cl_image_desc image_desc_buf_dst = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne0 * ne1 * ne2), 0,0,0,0,0,0,0, {sub_buf_dst}}; + buf_dst_image = clCreateImage(backend_ctx->context, CL_MEM_WRITE_ONLY, &image_format_buf_dst, &image_desc_buf_dst, NULL, &status); + CL_CHECK(status); + + // Set kernel args + int arg_idx = 0; + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_1->q_img)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_1->d)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_q4_1->m)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &image_src1_reordered)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2_emap)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_dst_image)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &(backend_ctx->prealloc_total_tiles.buffer))); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne01)); + + // set thread grid + global_size[1] = static_cast((ne01 + 63) / 64); + global_size[2] = static_cast(max_post_router_tile); + local_size[1] = 1; + local_size[2] = 1; + + // Dispatch kernel + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst); + + clReleaseMemObject(sub_buf_src1_pre); + clReleaseMemObject(buf_src1_reordered); + clReleaseMemObject(image_src1_reordered); + clReleaseMemObject(buf_src2); + clReleaseMemObject(buf_src2_emap); + clReleaseMemObject(sub_buf_dst); + clReleaseMemObject(buf_dst_image); + } + return; + } +#endif //GGML_OPENCL_USE_ADRENO_KERNELS + } case GGML_TYPE_Q8_0: { #ifdef GGML_OPENCL_SOA_Q kernel = backend_ctx->kernel_mul_mv_id_q8_0_f32_flat; @@ -12967,11 +13735,10 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, size_t local_size[3] = {64, 2, 1}; size_t global_size[3] = {64, 2, 1}; - cl_mem src1_sub_buffer, buf_src1_image, buf_src2; - - int tile_size = 320; if (ne12 == 1) { // for gemv - kernel = backend_ctx->kernel_gemv_moe_mxfp4_f32; + kernel = backend_ctx->kernel_gemv_moe_mxfp4_f32_ns; + + cl_mem src1_sub_buffer, buf_src1_image, buf_src2; // create a sub_buffer for src2 cl_buffer_region region; @@ -12985,78 +13752,154 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, global_size[1] = 4; global_size[2] = static_cast(ne20); local_size[1] = 4; - } else { // for gemm - kernel = backend_ctx->kernel_gemm_moe_mxfp4_f32; - // preprocess router table - int num_tiles_per_expert = (ne01 + tile_size - 1) / tile_size; - void * host_src2_reorder = malloc(ne20 * ne21 * 4 * num_tiles_per_expert * sizeof(short)); - void * host_src2 = malloc(ne21 * nb21); - CL_CHECK(clEnqueueReadBuffer(backend_ctx->queue, extra2->data_device, CL_TRUE, offset2, ne21 * nb21, host_src2, 0, NULL, NULL)); - int total_experts = nb21 / nb20; - int out_idx = 0; - for (int i_expert = 0; i_expert < ne02; i_expert++) { - for (int i_tile = 0; i_tile < num_tiles_per_expert; i_tile++) { - for (int j = 0; j < ne21; j++) { - for (int i = 0; i < ne20; i++) { - int expert = ((int *)host_src2)[j * total_experts + i]; - if (i_expert == expert) { - ((short *)host_src2_reorder)[out_idx] = static_cast(expert); - ((short *)host_src2_reorder)[out_idx + 1] = static_cast(j * ne11 + (i % ne11)); - ((short *)host_src2_reorder)[out_idx + 2] = static_cast(j * ne20 + i); - ((short *)host_src2_reorder)[out_idx + 3] = static_cast(i_tile); - out_idx += 4; - } - } - } - } - } - buf_src2 = clCreateBuffer(backend_ctx->context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, ne20 * ne21 * 4 * num_tiles_per_expert * sizeof(short), host_src2_reorder, &status); + // create a sub_buffer for src1 + region.origin = offset1; + region.size = ne10 * ne11 * ne12 * sizeof(float); + src1_sub_buffer = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); CL_CHECK(status); - // set thread grid - global_size[0] = static_cast(tile_size); - global_size[2] = static_cast(ne20 * ne21 * num_tiles_per_expert); - } + // create image for src1 + cl_image_format image_format_buf_src1 = {CL_RGBA, CL_FLOAT}; + cl_image_desc image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne10 * ne11 * ne12 / 4), 0,0,0,0,0,0,0, {src1_sub_buffer}}; + buf_src1_image = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status); + CL_CHECK(status); - // create a sub_buffer for src1 - cl_buffer_region region; - region.origin = offset1; - region.size = ne10 * ne11 * ne12 * sizeof(float); - src1_sub_buffer = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); - CL_CHECK(status); - - // create image for src1 - cl_image_format image_format_buf_src1 = {CL_RGBA, CL_FLOAT}; - cl_image_desc image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne10 * ne11 * ne12 / 4), 0,0,0,0,0,0,0, {src1_sub_buffer}}; - buf_src1_image = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status); - CL_CHECK(status); - - // Set kernel args - int arg_idx = 0; - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_mxfp4->q)); - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_mxfp4->e)); - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src1_image)); - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2)); - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extrad->data_device)); - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_ulong), &offsetd)); - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne00)); - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne01)); - if (ne12 == 1) { + // Set kernel args + int arg_idx = 0; + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_mxfp4->q)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_mxfp4->e)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src1_image)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne01)); CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne11)); - } else { - CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &tile_size)); + + // launch kernel + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst); + + // deallocate sub buffers and images + CL_CHECK(clReleaseMemObject(src1_sub_buffer)); + CL_CHECK(clReleaseMemObject(buf_src1_image)); + CL_CHECK(clReleaseMemObject(buf_src2)); + + } else { // for gemm + kernel = backend_ctx->kernel_gemm_moe_mxfp4_f32_ns; + + // Reorder router if called from test-backend-ops or when new router is generated. + // Otherwise reuse the reordered result from previous mul_mat_id call. + if ((strstr(src0->name, "as") != NULL) || backend_ctx->toggle_reorder) { + moe_router_reoerder(backend, src2, ne20); + backend_ctx->toggle_reorder = false; + } + + cl_mem sub_buf_src1_pre, buf_src1_reordered, image_src1_reordered, sub_buf_dst, buf_dst_image; + cl_mem buf_src2, buf_src2_emap; + + cl_buffer_region region; + region.origin = 0; + region.size = sizeof(int) * max_post_router_tile * n_tile_size; + GGML_ASSERT(backend_ctx->prealloc_post_router.buffer); + buf_src2 = clCreateSubBuffer(backend_ctx->prealloc_post_router.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + region.origin = 0; + region.size = sizeof(short) * max_post_router_tile; + buf_src2_emap = clCreateSubBuffer(backend_ctx->prealloc_emap.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // Reorder activations + // create a sub_buffer for src1 + region.origin = offset1; + region.size = ne10 * ne11 * ne12 * sizeof(float); + sub_buf_src1_pre = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, ®ion, &status); + CL_CHECK(status); + + // Create image for reordered src1 + // Use pre-allocated placeholder + region.origin = 0; + region.size = ne00 * max_post_router_tile * n_tile_size * sizeof(float); + backend_ctx->prealloc_act_trans.allocate(backend_ctx->context, region.size); + buf_src1_reordered = clCreateSubBuffer( + backend_ctx->prealloc_act_trans.buffer, + 0, + CL_BUFFER_CREATE_TYPE_REGION, + ®ion, + &status); + CL_CHECK(status); + cl_image_format image_format_buf_src1; + cl_image_desc image_desc_buf_src1; + image_format_buf_src1 = {CL_RGBA, CL_FLOAT}; + image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne00 * max_post_router_tile * n_tile_size / 4), 0,0,0,0,0,0,0, {buf_src1_reordered}}; + image_src1_reordered = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status); + CL_CHECK(status); + + unsigned short map_ratio = ne20 / ne11; + GGML_ASSERT(((map_ratio == 1) || (map_ratio == ne20)) && "Map ratio not supported\n"); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 0, sizeof(cl_mem), &sub_buf_src1_pre)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 1, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 2, sizeof(cl_mem), &buf_src1_reordered)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 3, sizeof(cl_mem), &(backend_ctx->prealloc_total_tiles.buffer))); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 4, sizeof(unsigned int), &ne00)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 5, sizeof(unsigned short), &map_ratio)); + CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 6, sizeof(unsigned int), &n_tile_size)); + + size_t reorder_b_local_size[3] = {256, 1, 1}; + size_t reorder_b_global_size[3] = {static_cast(((ne00 / 4) + 255) / 256 * 256), static_cast(max_post_router_tile * n_tile_size), 1}; + + // Dispatch reorder kernel + backend_ctx->enqueue_ndrange_kernel(backend_ctx->kernel_moe_reorder_b, 3, reorder_b_global_size, reorder_b_local_size, dst); + + // MoE kernel prepare + // Create sub buffer for dst + region.origin = offsetd; + region.size = ne0 * ne1 * ne2 * sizeof(float); + sub_buf_dst = clCreateSubBuffer( + extrad->data_device, + 0, + CL_BUFFER_CREATE_TYPE_REGION, + ®ion, + &status); + CL_CHECK(status); + // Create image for dst + cl_image_format image_format_buf_dst = {CL_R, CL_FLOAT}; + cl_image_desc image_desc_buf_dst = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast(ne0 * ne1 * ne2), 0,0,0,0,0,0,0, {sub_buf_dst}}; + buf_dst_image = clCreateImage(backend_ctx->context, CL_MEM_WRITE_ONLY, &image_format_buf_dst, &image_desc_buf_dst, NULL, &status); + CL_CHECK(status); + + // Set kernel args + int arg_idx = 0; + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_mxfp4->q_img)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &extra0_mxfp4->e)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &image_src1_reordered)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_src2_emap)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &buf_dst_image)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem), &(backend_ctx->prealloc_total_tiles.buffer))); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int), &ne01)); + + // set thread grid + global_size[1] = static_cast((ne01 + 63) / 64); + global_size[2] = static_cast(max_post_router_tile); + local_size[1] = 1; + local_size[2] = 1; + + // Dispatch kernel + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst); + + clReleaseMemObject(sub_buf_src1_pre); + clReleaseMemObject(buf_src1_reordered); + clReleaseMemObject(image_src1_reordered); + clReleaseMemObject(buf_src2); + clReleaseMemObject(buf_src2_emap); + clReleaseMemObject(sub_buf_dst); + clReleaseMemObject(buf_dst_image); } - - // launch kernel - backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst); - - // deallocate sub buffers and images - CL_CHECK(clReleaseMemObject(src1_sub_buffer)); - CL_CHECK(clReleaseMemObject(buf_src1_image)); - CL_CHECK(clReleaseMemObject(buf_src2)); return; - } // else fallback to generic kernel + } // fallback to generic MoE mxfp4 kernel #endif // GGML_OPENCL_USE_ADRENO_KERNELS #ifdef GGML_OPENCL_SOA_Q @@ -14002,6 +14845,13 @@ static void ggml_cl_argsort(ggml_backend_t backend, const ggml_tensor * src0, co size_t local_work_size[] = {(size_t)ne00_padded, 1, 1}; backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); + +#ifdef GGML_OPENCL_USE_ADRENO_KERNELS + const int ne21 = dst->ne[1]; + if ((strstr(src0->name, "_moe") != NULL) && (ne21 != 1)) { + backend_ctx->toggle_reorder = true; + } +#endif // GGML_OPENCL_USE_ADRENO_KERNELS } static void ggml_cl_sum_rows(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { diff --git a/ggml/src/ggml-opencl/kernels/cvt.cl b/ggml/src/ggml-opencl/kernels/cvt.cl index f3937d8304..5bbf09710f 100644 --- a/ggml/src/ggml-opencl/kernels/cvt.cl +++ b/ggml/src/ggml-opencl/kernels/cvt.cl @@ -190,6 +190,92 @@ kernel void kernel_restore_block_q4_0_noshuffle( } } +kernel void kernel_convert_block_q4_0_trans4_ns( + global struct block_q4_0 * src0, + __global uint * dst_q, + __global half * dst_d, + uint ne00, + uint ne01 +) { + uint i00 = get_global_id(1); + uint i01 = get_global_id(0); + uint i02 = get_global_id(2); + + uint ne00_blk = ne00 / QK4_0; + uint src_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01; + uint dst_blk_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01; + + global struct block_q4_0 * b = src0 + src_blk_offset; + dst_d[dst_blk_offset] = b->d; + + // extract quantization and unshuffle + ushort8 pre_block = ((global ushort8 *)(&(b->qs[0])))[0]; + + ushort8 post_block = (ushort8)(0); + + uchar * pre_block_ptr = (uchar *)(&pre_block); + uchar * post_block_ptr = (uchar *)(&post_block); + + for (int i = 0; i < QK4_0 / 4; ++i) { + uchar x0 = pre_block_ptr[2*i + 0]; + uchar x1 = pre_block_ptr[2*i + 1]; + + post_block_ptr[i + 0 ] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4); + post_block_ptr[i + QK4_0 / 4] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0); + } + + uint4 q_block = as_uint4(post_block); + + uint offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01; + dst_q[offset] = q_block.x; + dst_q[offset + ne01] = q_block.y; + dst_q[offset + ne01 * 2] = q_block.z; + dst_q[offset + ne01 * 3] = q_block.w; +} + +kernel void kernel_restore_block_q4_0_trans4_ns( + __global uint * src_q, + __global half * src_d, + __global struct block_q4_0 * dst0, + uint ne00, + uint ne01 +) { + uint i00 = get_global_id(1); + uint i01 = get_global_id(0); + uint i02 = get_global_id(2); + + uint ne00_blk = ne00 / QK4_0; + uint dst_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01; + uint src_d_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01; + + __global struct block_q4_0 * b = dst0 + dst_blk_offset; + b->d = src_d[src_d_offset]; + + // collect transposed quantization parts for a block + uint src_q_offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01; + uint4 q_block; + q_block.x = src_q[src_q_offset]; + q_block.y = src_q[src_q_offset + ne01]; + q_block.z = src_q[src_q_offset + ne01 * 2]; + q_block.w = src_q[src_q_offset + ne01 * 3]; + + ushort8 post_block = as_ushort8(q_block); + ushort8 pre_block = (ushort8)(0); + + uchar * pre_block_ptr = (uchar *)(&pre_block); + uchar * post_block_ptr = (uchar *)(&post_block); + + for (int i = 0; i < QK4_0 / 4; ++i) { + uchar x0 = post_block_ptr[i + 0]; + uchar x1 = post_block_ptr[i + QK4_0 / 4]; + + pre_block_ptr[2 * i + 0] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4); + pre_block_ptr[2 * i + 1] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0); + } + + ((__global ushort8 *)(&(b->qs[0])))[0] = pre_block; +} + //------------------------------------------------------------------------------ // kernel_convert_block_q4_1 // Convert the block_q4_1 format to 2 separate arrays (AOS -> SOA). @@ -284,6 +370,96 @@ kernel void kernel_restore_block_q4_1_noshuffle( } } +kernel void kernel_convert_block_q4_1_trans4_ns( + __global struct block_q4_1 * src0, + __global uint * dst_q, + __global half * dst_d, + __global half * dst_m, + uint ne00, + uint ne01 +) { + uint i00 = get_global_id(1); + uint i01 = get_global_id(0); + uint i02 = get_global_id(2); + + uint ne00_blk = ne00 / QK4_1; + uint src_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01; + uint dst_blk_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01; + + global struct block_q4_1 * b = src0 + src_blk_offset; + dst_d[dst_blk_offset] = b->d; + dst_m[dst_blk_offset] = b->m; + + // extract quantization and unshuffle + ushort8 pre_block = ((global ushort8 *)(&(b->qs[0])))[0]; + + ushort8 post_block = (ushort8)(0); + + uchar * pre_block_ptr = (uchar *)(&pre_block); + uchar * post_block_ptr = (uchar *)(&post_block); + + for (int i = 0; i < QK4_1 / 4; ++i) { + uchar x0 = pre_block_ptr[2*i + 0]; + uchar x1 = pre_block_ptr[2*i + 1]; + + post_block_ptr[i + 0 ] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4); + post_block_ptr[i + QK4_1 / 4] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0); + } + + uint4 q_block = as_uint4(post_block); + + uint offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01; + dst_q[offset] = q_block.x; + dst_q[offset + ne01] = q_block.y; + dst_q[offset + ne01 * 2] = q_block.z; + dst_q[offset + ne01 * 3] = q_block.w; +} + +kernel void kernel_restore_block_q4_1_trans4_ns( + __global uint * src_q, + __global half * src_d, + __global half * src_m, + __global struct block_q4_1 * dst0, + uint ne00, + uint ne01 +) { + int i00 = get_global_id(1); + uint i01 = get_global_id(0); + uint i02 = get_global_id(2); + + uint ne00_blk = ne00 / QK4_1; + uint dst_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01; + uint src_dm_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01; + + __global struct block_q4_1 * b = dst0 + dst_blk_offset; + b->d = src_d[src_dm_offset]; + b->m = src_m[src_dm_offset]; + + // collect transposed quantization parts for a block + uint src_q_offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01; + uint4 q_block; + q_block.x = src_q[src_q_offset]; + q_block.y = src_q[src_q_offset + ne01]; + q_block.z = src_q[src_q_offset + ne01 * 2]; + q_block.w = src_q[src_q_offset + ne01 * 3]; + + ushort8 post_block = as_ushort8(q_block); + ushort8 pre_block = (ushort8)(0); + + uchar * pre_block_ptr = (uchar *)(&pre_block); + uchar * post_block_ptr = (uchar *)(&post_block); + + for (int i = 0; i < QK4_0 / 4; ++i) { + uchar x0 = post_block_ptr[i + 0]; + uchar x1 = post_block_ptr[i + QK4_0 / 4]; + + pre_block_ptr[2 * i + 0] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4); + pre_block_ptr[2 * i + 1] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0); + } + + ((__global ushort8 *)(&(b->qs[0])))[0] = pre_block; +} + //------------------------------------------------------------------------------ // block_mxfp4 //------------------------------------------------------------------------------ @@ -371,6 +547,93 @@ kernel void kernel_restore_block_mxfp4_trans( b->e = src_e[src_blk_offset]; } +kernel void kernel_convert_block_mxfp4_trans4_ns( + global struct block_mxfp4 * src0, + __global uint * dst_q, + __global uchar * dst_e, + uint ne00, + uint ne01 +) { + uint i00 = get_global_id(1); + uint i01 = get_global_id(0); + uint i02 = get_global_id(2); + + uint ne00_blk = ne00 / QK_MXFP4; + uint src_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01; + uint dst_blk_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01; + + global struct block_mxfp4 * b = src0 + src_blk_offset; + dst_e[dst_blk_offset] = b->e; + + // extract quantization and unshuffle + ushort8 pre_block = ((global ushort8 *)(&(b->qs[0])))[0]; + + ushort8 post_block = (ushort8)(0); + + uchar * pre_block_ptr = (uchar *)(&pre_block); + uchar * post_block_ptr = (uchar *)(&post_block); + + for (int i = 0; i < QK_MXFP4 / 4; ++i) { + uchar x0 = pre_block_ptr[2*i + 0]; + uchar x1 = pre_block_ptr[2*i + 1]; + + post_block_ptr[i + 0 ] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4); + post_block_ptr[i + QK_MXFP4 / 4] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0); + } + + uint4 q_block = as_uint4(post_block); + + uint offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01; + dst_q[offset] = q_block.x; + dst_q[offset + ne01] = q_block.y; + dst_q[offset + ne01 * 2] = q_block.z; + dst_q[offset + ne01 * 3] = q_block.w; +} + +kernel void kernel_restore_block_mxfp4_trans4_ns( + __global uint * src_q, + __global uchar * src_e, + __global struct block_mxfp4 * dst0, + uint ne00, + uint ne01 +) { + uint i00 = get_global_id(1); + uint i01 = get_global_id(0); + uint i02 = get_global_id(2); + + uint ne00_blk = ne00 / QK_MXFP4; + uint dst_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01; + uint src_d_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01; + + __global struct block_mxfp4 * b = dst0 + dst_blk_offset; + b->e = src_e[src_d_offset]; + + // collect transposed quantization parts for a block + uint src_q_offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01; + uint4 q_block; + q_block.x = src_q[src_q_offset]; + q_block.y = src_q[src_q_offset + ne01]; + q_block.z = src_q[src_q_offset + ne01 * 2]; + q_block.w = src_q[src_q_offset + ne01 * 3]; + + ushort8 post_block = as_ushort8(q_block); + ushort8 pre_block = (ushort8)(0); + + uchar * pre_block_ptr = (uchar *)(&pre_block); + uchar * post_block_ptr = (uchar *)(&post_block); + + for (int i = 0; i < QK_MXFP4 / 4; ++i) { + uchar x0 = post_block_ptr[i + 0]; + uchar x1 = post_block_ptr[i + QK_MXFP4 / 4]; + + pre_block_ptr[2 * i + 0] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4); + pre_block_ptr[2 * i + 1] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0); + } + + ((__global ushort8 *)(&(b->qs[0])))[0] = pre_block; +} + + //------------------------------------------------------------------------------ // block_q8_0 //------------------------------------------------------------------------------ diff --git a/ggml/src/ggml-opencl/kernels/gemm_moe_mxfp4_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemm_moe_mxfp4_f32_ns.cl new file mode 100644 index 0000000000..e404f392bd --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/gemm_moe_mxfp4_f32_ns.cl @@ -0,0 +1,302 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable +#pragma OPENCL EXTENSION cl_khr_subgroups : enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_uniform_load: enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_constant_load: enable +#pragma OPENCL EXTENSION cl_qcom_extra_vector_types : enable + +#define TILESIZE_K 16 +#define TILESIZE_M 64 +#define TILESIZE_N 32 + + +static inline half8 mxfp4_to_fp16_packed8(ushort2 fp4x8) { + ushort2 fp16_packed_a_0, fp16_packed_b_0, bias_a, bias_b, sign_a, sign_b; + fp16_packed_a_0.lo = (fp4x8.s0 << 9) & 0x0E00; + fp16_packed_a_0.hi = (fp4x8.s0 << 5) & 0x0E00; + fp16_packed_b_0.lo = (fp4x8.s0 << 1) & 0x0E00; + fp16_packed_b_0.hi = (fp4x8.s0 >> 3) & 0x0E00; + + bias_a.lo = (fp16_packed_a_0.lo != 0) ? 0x3800 : 0x0; + bias_a.hi = (fp16_packed_a_0.hi != 0) ? 0x3800 : 0x0; + bias_b.lo = (fp16_packed_b_0.lo != 0) ? 0x3800 : 0x0; + bias_b.hi = (fp16_packed_b_0.hi != 0) ? 0x3800 : 0x0; + + fp16_packed_a_0.lo = (fp16_packed_a_0.lo != 0x0200) ? fp16_packed_a_0.lo : 0x0; + fp16_packed_a_0.hi = (fp16_packed_a_0.hi != 0x0200) ? fp16_packed_a_0.hi : 0x0; + fp16_packed_b_0.lo = (fp16_packed_b_0.lo != 0x0200) ? fp16_packed_b_0.lo : 0x0; + fp16_packed_b_0.hi = (fp16_packed_b_0.hi != 0x0200) ? fp16_packed_b_0.hi : 0x0; + + sign_a.lo = (fp4x8.s0 << 12) & 0x8000; + sign_a.hi = (fp4x8.s0 << 8) & 0x8000; + sign_b.lo = (fp4x8.s0 << 4) & 0x8000; + sign_b.hi = fp4x8.s0 & 0x8000; + + fp16_packed_a_0 = sign_a + bias_a + fp16_packed_a_0; + fp16_packed_b_0 = sign_b + bias_b + fp16_packed_b_0; + + ushort2 fp16_packed_a_1, fp16_packed_b_1; + fp16_packed_a_1.lo = (fp4x8.s1 << 9) & 0x0E00; + fp16_packed_a_1.hi = (fp4x8.s1 << 5) & 0x0E00; + fp16_packed_b_1.lo = (fp4x8.s1 << 1) & 0x0E00; + fp16_packed_b_1.hi = (fp4x8.s1 >> 3) & 0x0E00; + + bias_a.lo = (fp16_packed_a_1.lo != 0) ? 0x3800 : 0x0; + bias_a.hi = (fp16_packed_a_1.hi != 0) ? 0x3800 : 0x0; + bias_b.lo = (fp16_packed_b_1.lo != 0) ? 0x3800 : 0x0; + bias_b.hi = (fp16_packed_b_1.hi != 0) ? 0x3800 : 0x0; + + fp16_packed_a_1.lo = (fp16_packed_a_1.lo != 0x0200) ? fp16_packed_a_1.lo : 0x0; + fp16_packed_a_1.hi = (fp16_packed_a_1.hi != 0x0200) ? fp16_packed_a_1.hi : 0x0; + fp16_packed_b_1.lo = (fp16_packed_b_1.lo != 0x0200) ? fp16_packed_b_1.lo : 0x0; + fp16_packed_b_1.hi = (fp16_packed_b_1.hi != 0x0200) ? fp16_packed_b_1.hi : 0x0; + + sign_a.lo = (fp4x8.s1 << 12) & 0x8000; + sign_a.hi = (fp4x8.s1 << 8) & 0x8000; + sign_b.lo = (fp4x8.s1 << 4) & 0x8000; + sign_b.hi = fp4x8.s1 & 0x8000; + + fp16_packed_a_1 = sign_a + bias_a + fp16_packed_a_1; + fp16_packed_b_1 = sign_b + bias_b + fp16_packed_b_1; + + return as_half8((ushort8)(fp16_packed_a_0, fp16_packed_b_0, fp16_packed_a_1, fp16_packed_b_1)); +} + + +#define dotx16_reduce8(a_reg, b_lm, c_reg, lm_offset) \ + acc.s0 = dot(a_reg.s0123, b_lm[lm_offset + 0]); \ + acc.s1 = dot(a_reg.s0123, b_lm[lm_offset + 1]); \ + acc.s2 = dot(a_reg.s0123, b_lm[lm_offset + 2]); \ + acc.s3 = dot(a_reg.s0123, b_lm[lm_offset + 3]); \ + acc.s4 = dot(a_reg.s0123, b_lm[lm_offset + 4]); \ + acc.s5 = dot(a_reg.s0123, b_lm[lm_offset + 5]); \ + acc.s6 = dot(a_reg.s0123, b_lm[lm_offset + 6]); \ + acc.s7 = dot(a_reg.s0123, b_lm[lm_offset + 7]); \ + acc.s8 = dot(a_reg.s0123, b_lm[lm_offset + 8]); \ + acc.s9 = dot(a_reg.s0123, b_lm[lm_offset + 9]); \ + acc.sa = dot(a_reg.s0123, b_lm[lm_offset + 10]); \ + acc.sb = dot(a_reg.s0123, b_lm[lm_offset + 11]); \ + acc.sc = dot(a_reg.s0123, b_lm[lm_offset + 12]); \ + acc.sd = dot(a_reg.s0123, b_lm[lm_offset + 13]); \ + acc.se = dot(a_reg.s0123, b_lm[lm_offset + 14]); \ + acc.sf = dot(a_reg.s0123, b_lm[lm_offset + 15]); \ + acc.s0 += dot(a_reg.s4567, b_lm[lm_offset + 32]); \ + acc.s1 += dot(a_reg.s4567, b_lm[lm_offset + 33]); \ + acc.s2 += dot(a_reg.s4567, b_lm[lm_offset + 34]); \ + acc.s3 += dot(a_reg.s4567, b_lm[lm_offset + 35]); \ + acc.s4 += dot(a_reg.s4567, b_lm[lm_offset + 36]); \ + acc.s5 += dot(a_reg.s4567, b_lm[lm_offset + 37]); \ + acc.s6 += dot(a_reg.s4567, b_lm[lm_offset + 38]); \ + acc.s7 += dot(a_reg.s4567, b_lm[lm_offset + 39]); \ + acc.s8 += dot(a_reg.s4567, b_lm[lm_offset + 40]); \ + acc.s9 += dot(a_reg.s4567, b_lm[lm_offset + 41]); \ + acc.sa += dot(a_reg.s4567, b_lm[lm_offset + 42]); \ + acc.sb += dot(a_reg.s4567, b_lm[lm_offset + 43]); \ + acc.sc += dot(a_reg.s4567, b_lm[lm_offset + 44]); \ + acc.sd += dot(a_reg.s4567, b_lm[lm_offset + 45]); \ + acc.se += dot(a_reg.s4567, b_lm[lm_offset + 46]); \ + acc.sf += dot(a_reg.s4567, b_lm[lm_offset + 47]); \ + c_reg.lo += convert_float8(acc.lo); \ + c_reg.hi += convert_float8(acc.hi); \ + acc.s0 = dot(a_reg.s89ab, b_lm[lm_offset + 64]); \ + acc.s1 = dot(a_reg.s89ab, b_lm[lm_offset + 65]); \ + acc.s2 = dot(a_reg.s89ab, b_lm[lm_offset + 66]); \ + acc.s3 = dot(a_reg.s89ab, b_lm[lm_offset + 67]); \ + acc.s4 = dot(a_reg.s89ab, b_lm[lm_offset + 68]); \ + acc.s5 = dot(a_reg.s89ab, b_lm[lm_offset + 69]); \ + acc.s6 = dot(a_reg.s89ab, b_lm[lm_offset + 70]); \ + acc.s7 = dot(a_reg.s89ab, b_lm[lm_offset + 71]); \ + acc.s8 = dot(a_reg.s89ab, b_lm[lm_offset + 72]); \ + acc.s9 = dot(a_reg.s89ab, b_lm[lm_offset + 73]); \ + acc.sa = dot(a_reg.s89ab, b_lm[lm_offset + 74]); \ + acc.sb = dot(a_reg.s89ab, b_lm[lm_offset + 75]); \ + acc.sc = dot(a_reg.s89ab, b_lm[lm_offset + 76]); \ + acc.sd = dot(a_reg.s89ab, b_lm[lm_offset + 77]); \ + acc.se = dot(a_reg.s89ab, b_lm[lm_offset + 78]); \ + acc.sf = dot(a_reg.s89ab, b_lm[lm_offset + 79]); \ + acc.s0 += dot(a_reg.scdef, b_lm[lm_offset + 96]); \ + acc.s1 += dot(a_reg.scdef, b_lm[lm_offset + 97]); \ + acc.s2 += dot(a_reg.scdef, b_lm[lm_offset + 98]); \ + acc.s3 += dot(a_reg.scdef, b_lm[lm_offset + 99]); \ + acc.s4 += dot(a_reg.scdef, b_lm[lm_offset + 100]); \ + acc.s5 += dot(a_reg.scdef, b_lm[lm_offset + 101]); \ + acc.s6 += dot(a_reg.scdef, b_lm[lm_offset + 102]); \ + acc.s7 += dot(a_reg.scdef, b_lm[lm_offset + 103]); \ + acc.s8 += dot(a_reg.scdef, b_lm[lm_offset + 104]); \ + acc.s9 += dot(a_reg.scdef, b_lm[lm_offset + 105]); \ + acc.sa += dot(a_reg.scdef, b_lm[lm_offset + 106]); \ + acc.sb += dot(a_reg.scdef, b_lm[lm_offset + 107]); \ + acc.sc += dot(a_reg.scdef, b_lm[lm_offset + 108]); \ + acc.sd += dot(a_reg.scdef, b_lm[lm_offset + 109]); \ + acc.se += dot(a_reg.scdef, b_lm[lm_offset + 110]); \ + acc.sf += dot(a_reg.scdef, b_lm[lm_offset + 111]); \ + c_reg.lo += convert_float8(acc.lo); \ + c_reg.hi += convert_float8(acc.hi); \ + + +static inline half e8m0_to_fp16(uchar x) { + ushort bits; + bits = (ushort)(x) - (ushort)(112); + bits = ((bits & 0x00E0) != 0) ? 0x7C00 : (bits << 10); + return as_half(bits); +} + +static inline float e8m0_to_fp32(uchar x) { + int bits; + bits = (x == 0) ? 0x00400000 : ((uint) x << 23); + return as_float(bits); +} + + +__attribute__((qcom_wave_pair_mode(1))) // 1=force single 2=force pair +kernel void kernel_gemm_moe_mxfp4_f32_ns( + __read_only image1d_buffer_t src0_q, + __global uchar * src0_d, + __read_only image1d_buffer_t src1, + __global uint * src2, + __global ushort * src2_emap, + __write_only image1d_buffer_t dst, + __global int * total_tiles, + uint ne00, + uint ne01 +) { + uint block_id_m = get_global_id(1); // m_tile + uint block_id_n = get_global_id(2); // n_tile + + // Boundary check + if (((get_global_id(0) + block_id_m * TILESIZE_M) >= ne01) || (block_id_n >= total_tiles[0])) { + return; + } + + __private half16 reg_a; + __private float32 reg_c = (float32)(0); + __local half4 shared_b[128]; + + const ushort expert_id = src2_emap[block_id_n]; + + const uint row = block_id_m * TILESIZE_M; + const uint col = block_id_n * TILESIZE_N; + + uint sub_block_id_m = get_local_id(0); + uint2 b_global_offset; + b_global_offset.x = ((sub_block_id_m & 3) << 2) + (sub_block_id_m >> 2) * ne00; + b_global_offset.y = b_global_offset.x + (16 * ne00); + uint2 b_local_offset; + b_local_offset.x = (sub_block_id_m & 3) * 32 + (sub_block_id_m >> 2); + b_local_offset.y = b_local_offset.x + 16; + + // Loop along K axis, 32 elements (one block) for each iteration, divided into 2 sub-blocks + for (uint step = 0; step < ne00; step += TILESIZE_K * 2) { + // First sub-block + uint q_sub_offset = row + ((ne01 * step) >> 3) + ((expert_id * ne00 * ne01) >> 3); + uint s_sub_offset = row + ((ne01 * step) >> 5) + ((expert_id * ne00 * ne01) >> 5); + uint b_sub_offset = col * ne00 + step; + + // Load scale for current mxfp4 block + uint s_offset = s_sub_offset + get_global_id(0); + float s = e8m0_to_fp32(src0_d[s_offset]); + + // Load 16 fp4 (64-bits) in transposed layout + uint2 mxfp4x16; + mxfp4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x; + mxfp4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x; + + // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements + float8 bx8_f32; + bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4); + bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4); + // Convert to half and store to LM to share within the subgroup + half8 bx8_f16 = convert_half8(bx8_f32); + shared_b[b_local_offset.x] = bx8_f16.lo; + shared_b[b_local_offset.y] = bx8_f16.hi; + + // Dequantization + reg_a.lo = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.lo)) * s; + reg_a.hi = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.hi)) * s; + + sub_group_barrier(CLK_LOCAL_MEM_FENCE); + + // 32 16x16 fp16 dot product with 8 elements reduction for better precision + half16 acc; + dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0); + dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16); + + // Repeat for second sub-block + uint half_step = step + TILESIZE_K; + q_sub_offset = row + ((ne01 * half_step) >> 3) + ((expert_id * ne00 * ne01) >> 3); + b_sub_offset = col * ne00 + half_step; + + // Load next 16 fp4 (64-bits) in transposed layout + mxfp4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x; + mxfp4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x; + + // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements + bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4); + bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4); + // Convert to half and store to LM to share within the subgroup + bx8_f16 = convert_half8(bx8_f32); + shared_b[b_local_offset.x] = bx8_f16.lo; + shared_b[b_local_offset.y] = bx8_f16.hi; + + // Dequantization + reg_a.lo = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.lo)) * s; + reg_a.hi = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.hi)) * s; + + sub_group_barrier(CLK_LOCAL_MEM_FENCE); + + // 32 16x16 fp16 dot product with 3-levels reduction for better precision + dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0); + dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16); + } + + // Load poster router and share in LM + __local uint out_idx[TILESIZE_N]; + + if (get_local_id(0) < TILESIZE_N) { + uint idx = src2[block_id_n * TILESIZE_N + get_local_id(0)]; + if (idx == 0xFFFFFFFF) { + idx = src2[block_id_n * TILESIZE_N + 0]; + } + out_idx[get_local_id(0)] = idx * ne01; + } + + barrier(CLK_LOCAL_MEM_FENCE); + + // Scatter results back to original position in output grid + uint m_offset = row + get_local_id(0); + + write_imagef(dst, out_idx[1] + m_offset, (reg_c.s1)); + write_imagef(dst, out_idx[2] + m_offset, (reg_c.s2)); + write_imagef(dst, out_idx[3] + m_offset, (reg_c.s3)); + write_imagef(dst, out_idx[4] + m_offset, (reg_c.s4)); + write_imagef(dst, out_idx[5] + m_offset, (reg_c.s5)); + write_imagef(dst, out_idx[6] + m_offset, (reg_c.s6)); + write_imagef(dst, out_idx[7] + m_offset, (reg_c.s7)); + write_imagef(dst, out_idx[8] + m_offset, (reg_c.s8)); + write_imagef(dst, out_idx[9] + m_offset, (reg_c.s9)); + write_imagef(dst, out_idx[10] + m_offset, (reg_c.sa)); + write_imagef(dst, out_idx[11] + m_offset, (reg_c.sb)); + write_imagef(dst, out_idx[12] + m_offset, (reg_c.sc)); + write_imagef(dst, out_idx[13] + m_offset, (reg_c.sd)); + write_imagef(dst, out_idx[14] + m_offset, (reg_c.se)); + write_imagef(dst, out_idx[15] + m_offset, (reg_c.sf)); + write_imagef(dst, out_idx[16] + m_offset, (reg_c.sg)); + write_imagef(dst, out_idx[17] + m_offset, (reg_c.sh)); + write_imagef(dst, out_idx[18] + m_offset, (reg_c.si)); + write_imagef(dst, out_idx[19] + m_offset, (reg_c.sj)); + write_imagef(dst, out_idx[20] + m_offset, (reg_c.sk)); + write_imagef(dst, out_idx[21] + m_offset, (reg_c.sl)); + write_imagef(dst, out_idx[22] + m_offset, (reg_c.sm)); + write_imagef(dst, out_idx[23] + m_offset, (reg_c.sn)); + write_imagef(dst, out_idx[24] + m_offset, (reg_c.so)); + write_imagef(dst, out_idx[25] + m_offset, (reg_c.sp)); + write_imagef(dst, out_idx[26] + m_offset, (reg_c.sq)); + write_imagef(dst, out_idx[27] + m_offset, (reg_c.sr)); + write_imagef(dst, out_idx[28] + m_offset, (reg_c.ss)); + write_imagef(dst, out_idx[29] + m_offset, (reg_c.st)); + write_imagef(dst, out_idx[30] + m_offset, (reg_c.su)); + write_imagef(dst, out_idx[31] + m_offset, (reg_c.sv)); + + // Store zero padding parts to the index of first output in tile, override correct result in the end + barrier(CLK_GLOBAL_MEM_FENCE); + write_imagef(dst, out_idx[0] + m_offset, (reg_c.s0)); +} diff --git a/ggml/src/ggml-opencl/kernels/gemm_moe_q4_0_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemm_moe_q4_0_f32_ns.cl new file mode 100644 index 0000000000..02290c17eb --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/gemm_moe_q4_0_f32_ns.cl @@ -0,0 +1,252 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable +#pragma OPENCL EXTENSION cl_khr_subgroups : enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_uniform_load: enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_constant_load: enable +#pragma OPENCL EXTENSION cl_qcom_extra_vector_types : enable + +#define TILESIZE_K 16 +#define TILESIZE_M 64 +#define TILESIZE_N 32 + + +#define dequantize_q4_0(q4, a_f16, scale) \ + a_f16.s0 = (half)((q4.s0 & 0x000F) - 8) * scale; \ + a_f16.s1 = (half)(((q4.s0 & 0x00F0) >> 4) - 8) * scale; \ + a_f16.s2 = (half)(((q4.s0 & 0x0F00) >> 8) - 8) * scale; \ + a_f16.s3 = (half)(((q4.s0 & 0xF000) >> 12) - 8) * scale; \ + a_f16.s4 = (half)((q4.s1 & 0x000F) - 8) * scale; \ + a_f16.s5 = (half)(((q4.s1 & 0x00F0) >> 4) - 8) * scale; \ + a_f16.s6 = (half)(((q4.s1 & 0x0F00) >> 8) - 8) * scale; \ + a_f16.s7 = (half)(((q4.s1 & 0xF000) >> 12) - 8) * scale; \ + a_f16.s8 = (half)((q4.s2 & 0x000F) - 8) * scale; \ + a_f16.s9 = (half)(((q4.s2 & 0x00F0) >> 4) - 8) * scale; \ + a_f16.sa = (half)(((q4.s2 & 0x0F00) >> 8) - 8) * scale; \ + a_f16.sb = (half)(((q4.s2 & 0xF000) >> 12) - 8) * scale; \ + a_f16.sc = (half)((q4.s3 & 0x000F) - 8) * scale; \ + a_f16.sd = (half)(((q4.s3 & 0x00F0) >> 4) - 8) * scale; \ + a_f16.se = (half)(((q4.s3 & 0x0F00) >> 8) - 8) * scale; \ + a_f16.sf = (half)(((q4.s3 & 0xF000) >> 12) - 8) * scale; \ + + +#define dotx16_reduce8(a_reg, b_lm, c_reg, lm_offset) \ + acc.s0 = dot(a_reg.s0123, b_lm[lm_offset + 0]); \ + acc.s1 = dot(a_reg.s0123, b_lm[lm_offset + 1]); \ + acc.s2 = dot(a_reg.s0123, b_lm[lm_offset + 2]); \ + acc.s3 = dot(a_reg.s0123, b_lm[lm_offset + 3]); \ + acc.s4 = dot(a_reg.s0123, b_lm[lm_offset + 4]); \ + acc.s5 = dot(a_reg.s0123, b_lm[lm_offset + 5]); \ + acc.s6 = dot(a_reg.s0123, b_lm[lm_offset + 6]); \ + acc.s7 = dot(a_reg.s0123, b_lm[lm_offset + 7]); \ + acc.s8 = dot(a_reg.s0123, b_lm[lm_offset + 8]); \ + acc.s9 = dot(a_reg.s0123, b_lm[lm_offset + 9]); \ + acc.sa = dot(a_reg.s0123, b_lm[lm_offset + 10]); \ + acc.sb = dot(a_reg.s0123, b_lm[lm_offset + 11]); \ + acc.sc = dot(a_reg.s0123, b_lm[lm_offset + 12]); \ + acc.sd = dot(a_reg.s0123, b_lm[lm_offset + 13]); \ + acc.se = dot(a_reg.s0123, b_lm[lm_offset + 14]); \ + acc.sf = dot(a_reg.s0123, b_lm[lm_offset + 15]); \ + acc.s0 += dot(a_reg.s4567, b_lm[lm_offset + 32]); \ + acc.s1 += dot(a_reg.s4567, b_lm[lm_offset + 33]); \ + acc.s2 += dot(a_reg.s4567, b_lm[lm_offset + 34]); \ + acc.s3 += dot(a_reg.s4567, b_lm[lm_offset + 35]); \ + acc.s4 += dot(a_reg.s4567, b_lm[lm_offset + 36]); \ + acc.s5 += dot(a_reg.s4567, b_lm[lm_offset + 37]); \ + acc.s6 += dot(a_reg.s4567, b_lm[lm_offset + 38]); \ + acc.s7 += dot(a_reg.s4567, b_lm[lm_offset + 39]); \ + acc.s8 += dot(a_reg.s4567, b_lm[lm_offset + 40]); \ + acc.s9 += dot(a_reg.s4567, b_lm[lm_offset + 41]); \ + acc.sa += dot(a_reg.s4567, b_lm[lm_offset + 42]); \ + acc.sb += dot(a_reg.s4567, b_lm[lm_offset + 43]); \ + acc.sc += dot(a_reg.s4567, b_lm[lm_offset + 44]); \ + acc.sd += dot(a_reg.s4567, b_lm[lm_offset + 45]); \ + acc.se += dot(a_reg.s4567, b_lm[lm_offset + 46]); \ + acc.sf += dot(a_reg.s4567, b_lm[lm_offset + 47]); \ + c_reg.lo += convert_float8(acc.lo); \ + c_reg.hi += convert_float8(acc.hi); \ + acc.s0 = dot(a_reg.s89ab, b_lm[lm_offset + 64]); \ + acc.s1 = dot(a_reg.s89ab, b_lm[lm_offset + 65]); \ + acc.s2 = dot(a_reg.s89ab, b_lm[lm_offset + 66]); \ + acc.s3 = dot(a_reg.s89ab, b_lm[lm_offset + 67]); \ + acc.s4 = dot(a_reg.s89ab, b_lm[lm_offset + 68]); \ + acc.s5 = dot(a_reg.s89ab, b_lm[lm_offset + 69]); \ + acc.s6 = dot(a_reg.s89ab, b_lm[lm_offset + 70]); \ + acc.s7 = dot(a_reg.s89ab, b_lm[lm_offset + 71]); \ + acc.s8 = dot(a_reg.s89ab, b_lm[lm_offset + 72]); \ + acc.s9 = dot(a_reg.s89ab, b_lm[lm_offset + 73]); \ + acc.sa = dot(a_reg.s89ab, b_lm[lm_offset + 74]); \ + acc.sb = dot(a_reg.s89ab, b_lm[lm_offset + 75]); \ + acc.sc = dot(a_reg.s89ab, b_lm[lm_offset + 76]); \ + acc.sd = dot(a_reg.s89ab, b_lm[lm_offset + 77]); \ + acc.se = dot(a_reg.s89ab, b_lm[lm_offset + 78]); \ + acc.sf = dot(a_reg.s89ab, b_lm[lm_offset + 79]); \ + acc.s0 += dot(a_reg.scdef, b_lm[lm_offset + 96]); \ + acc.s1 += dot(a_reg.scdef, b_lm[lm_offset + 97]); \ + acc.s2 += dot(a_reg.scdef, b_lm[lm_offset + 98]); \ + acc.s3 += dot(a_reg.scdef, b_lm[lm_offset + 99]); \ + acc.s4 += dot(a_reg.scdef, b_lm[lm_offset + 100]); \ + acc.s5 += dot(a_reg.scdef, b_lm[lm_offset + 101]); \ + acc.s6 += dot(a_reg.scdef, b_lm[lm_offset + 102]); \ + acc.s7 += dot(a_reg.scdef, b_lm[lm_offset + 103]); \ + acc.s8 += dot(a_reg.scdef, b_lm[lm_offset + 104]); \ + acc.s9 += dot(a_reg.scdef, b_lm[lm_offset + 105]); \ + acc.sa += dot(a_reg.scdef, b_lm[lm_offset + 106]); \ + acc.sb += dot(a_reg.scdef, b_lm[lm_offset + 107]); \ + acc.sc += dot(a_reg.scdef, b_lm[lm_offset + 108]); \ + acc.sd += dot(a_reg.scdef, b_lm[lm_offset + 109]); \ + acc.se += dot(a_reg.scdef, b_lm[lm_offset + 110]); \ + acc.sf += dot(a_reg.scdef, b_lm[lm_offset + 111]); \ + c_reg.lo += convert_float8(acc.lo); \ + c_reg.hi += convert_float8(acc.hi); \ + + +__attribute__((qcom_wave_pair_mode(1))) // 1=force single 2=force pair +kernel void kernel_gemm_moe_q4_0_f32_ns( + __read_only image1d_buffer_t src0_q, + __global half * src0_d, + __read_only image1d_buffer_t src1, + __global uint * src2, + __global ushort * src2_emap, + __write_only image1d_buffer_t dst, + __global int * total_tiles, + uint ne00, + uint ne01 +) { + uint block_id_m = get_global_id(1); // m_tile + uint block_id_n = get_global_id(2); // n_tile + + // Boundary check + if (((get_global_id(0) + block_id_m * TILESIZE_M) >= ne01) || (block_id_n >= total_tiles[0])) { + return; + } + + __private half16 reg_a; + __private float32 reg_c = (float32)(0); + __local half4 shared_b[128]; + + const ushort expert_id = src2_emap[block_id_n]; + + const uint row = block_id_m * TILESIZE_M; + const uint col = block_id_n * TILESIZE_N; + + uint sub_block_id_m = get_local_id(0); + uint2 b_global_offset; + b_global_offset.x = ((sub_block_id_m & 3) << 2) + (sub_block_id_m >> 2) * ne00; + b_global_offset.y = b_global_offset.x + (16 * ne00); + uint2 b_local_offset; + b_local_offset.x = (sub_block_id_m & 3) * 32 + (sub_block_id_m >> 2); + b_local_offset.y = b_local_offset.x + 16; + + // Loop along K axis, 32 elements (one block) for each iteration, divided into 2 sub-blocks + for (uint step = 0; step < ne00; step += TILESIZE_K * 2) { + // First sub-block + uint q_sub_offset = row + ((ne01 * step) >> 3) + ((expert_id * ne00 * ne01) >> 3); + uint s_sub_offset = row + ((ne01 * step) >> 5) + ((expert_id * ne00 * ne01) >> 5); + uint b_sub_offset = col * ne00 + step; + + // Load scale for current Q4_0 block + uint s_offset = s_sub_offset + get_global_id(0); + half s = src0_d[s_offset]; + + // Load 16 q (64-bits) in transposed layout + uint2 q4x16; + q4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x; + q4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x; + + // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements + float8 bx8_f32; + bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4); + bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4); + // Convert to half and store to LM to share within the subgroup + half8 bx8_f16 = convert_half8(bx8_f32); + shared_b[b_local_offset.x] = bx8_f16.lo; + shared_b[b_local_offset.y] = bx8_f16.hi; + + // Dequantization + dequantize_q4_0(as_ushort4(q4x16), reg_a, s); + + sub_group_barrier(CLK_LOCAL_MEM_FENCE); + + // 32 16x16 fp16 dot product with 8 elements reduction for better precision + half16 acc; + dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0); + dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16); + + // Repeat for second sub-block + uint half_step = step + TILESIZE_K; + q_sub_offset = row + ((ne01 * half_step) >> 3) + ((expert_id * ne00 * ne01) >> 3); + b_sub_offset = col * ne00 + half_step; + + // Load next 16 q (64-bits) in transposed layout + q4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x; + q4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x; + + // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements + bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4); + bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4); + // Convert to half and store to LM to share within the subgroup + bx8_f16 = convert_half8(bx8_f32); + shared_b[b_local_offset.x] = bx8_f16.lo; + shared_b[b_local_offset.y] = bx8_f16.hi; + + // Dequantization + dequantize_q4_0(as_ushort4(q4x16), reg_a, s); + + sub_group_barrier(CLK_LOCAL_MEM_FENCE); + + // 32 16x16 fp16 dot product with 3-levels reduction for better precision + dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0); + dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16); + } + + // Load poster router and share in LM + __local uint out_idx[TILESIZE_N]; + + if (get_local_id(0) < TILESIZE_N) { + uint idx = src2[block_id_n * TILESIZE_N + get_local_id(0)]; + if (idx == 0xFFFFFFFF) { + idx = src2[block_id_n * TILESIZE_N + 0]; + } + out_idx[get_local_id(0)] = idx * ne01; + } + + barrier(CLK_LOCAL_MEM_FENCE); + + // Scatter results back to original position in output grid + uint m_offset = row + get_local_id(0); + + write_imagef(dst, out_idx[1] + m_offset, (reg_c.s1)); + write_imagef(dst, out_idx[2] + m_offset, (reg_c.s2)); + write_imagef(dst, out_idx[3] + m_offset, (reg_c.s3)); + write_imagef(dst, out_idx[4] + m_offset, (reg_c.s4)); + write_imagef(dst, out_idx[5] + m_offset, (reg_c.s5)); + write_imagef(dst, out_idx[6] + m_offset, (reg_c.s6)); + write_imagef(dst, out_idx[7] + m_offset, (reg_c.s7)); + write_imagef(dst, out_idx[8] + m_offset, (reg_c.s8)); + write_imagef(dst, out_idx[9] + m_offset, (reg_c.s9)); + write_imagef(dst, out_idx[10] + m_offset, (reg_c.sa)); + write_imagef(dst, out_idx[11] + m_offset, (reg_c.sb)); + write_imagef(dst, out_idx[12] + m_offset, (reg_c.sc)); + write_imagef(dst, out_idx[13] + m_offset, (reg_c.sd)); + write_imagef(dst, out_idx[14] + m_offset, (reg_c.se)); + write_imagef(dst, out_idx[15] + m_offset, (reg_c.sf)); + write_imagef(dst, out_idx[16] + m_offset, (reg_c.sg)); + write_imagef(dst, out_idx[17] + m_offset, (reg_c.sh)); + write_imagef(dst, out_idx[18] + m_offset, (reg_c.si)); + write_imagef(dst, out_idx[19] + m_offset, (reg_c.sj)); + write_imagef(dst, out_idx[20] + m_offset, (reg_c.sk)); + write_imagef(dst, out_idx[21] + m_offset, (reg_c.sl)); + write_imagef(dst, out_idx[22] + m_offset, (reg_c.sm)); + write_imagef(dst, out_idx[23] + m_offset, (reg_c.sn)); + write_imagef(dst, out_idx[24] + m_offset, (reg_c.so)); + write_imagef(dst, out_idx[25] + m_offset, (reg_c.sp)); + write_imagef(dst, out_idx[26] + m_offset, (reg_c.sq)); + write_imagef(dst, out_idx[27] + m_offset, (reg_c.sr)); + write_imagef(dst, out_idx[28] + m_offset, (reg_c.ss)); + write_imagef(dst, out_idx[29] + m_offset, (reg_c.st)); + write_imagef(dst, out_idx[30] + m_offset, (reg_c.su)); + write_imagef(dst, out_idx[31] + m_offset, (reg_c.sv)); + + // Store zero padding parts to the index of first output in tile, override correct result in the end + barrier(CLK_GLOBAL_MEM_FENCE); + write_imagef(dst, out_idx[0] + m_offset, (reg_c.s0)); +} diff --git a/ggml/src/ggml-opencl/kernels/gemm_moe_q4_1_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemm_moe_q4_1_f32_ns.cl new file mode 100644 index 0000000000..e2574ae018 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/gemm_moe_q4_1_f32_ns.cl @@ -0,0 +1,254 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable +#pragma OPENCL EXTENSION cl_khr_subgroups : enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_uniform_load: enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_constant_load: enable +#pragma OPENCL EXTENSION cl_qcom_extra_vector_types : enable + +#define TILESIZE_K 16 +#define TILESIZE_M 64 +#define TILESIZE_N 32 + + +#define dequantize_q4_1(q4, a_f16, scale, m) \ + a_f16.s0 = (half)(q4.s0 & 0x000F) * scale + m; \ + a_f16.s1 = (half)((q4.s0 & 0x00F0) >> 4) * scale + m; \ + a_f16.s2 = (half)((q4.s0 & 0x0F00) >> 8) * scale + m; \ + a_f16.s3 = (half)((q4.s0 & 0xF000) >> 12) * scale + m; \ + a_f16.s4 = (half)(q4.s1 & 0x000F) * scale + m; \ + a_f16.s5 = (half)((q4.s1 & 0x00F0) >> 4) * scale + m; \ + a_f16.s6 = (half)((q4.s1 & 0x0F00) >> 8) * scale + m; \ + a_f16.s7 = (half)((q4.s1 & 0xF000) >> 12) * scale + m; \ + a_f16.s8 = (half)(q4.s2 & 0x000F) * scale + m; \ + a_f16.s9 = (half)((q4.s2 & 0x00F0) >> 4) * scale + m; \ + a_f16.sa = (half)((q4.s2 & 0x0F00) >> 8) * scale + m; \ + a_f16.sb = (half)((q4.s2 & 0xF000) >> 12) * scale + m; \ + a_f16.sc = (half)(q4.s3 & 0x000F) * scale + m; \ + a_f16.sd = (half)((q4.s3 & 0x00F0) >> 4) * scale + m; \ + a_f16.se = (half)((q4.s3 & 0x0F00) >> 8) * scale + m; \ + a_f16.sf = (half)((q4.s3 & 0xF000) >> 12) * scale + m; \ + + +#define dotx16_reduce8(a_reg, b_lm, c_reg, lm_offset) \ + acc.s0 = dot(a_reg.s0123, b_lm[lm_offset + 0]); \ + acc.s1 = dot(a_reg.s0123, b_lm[lm_offset + 1]); \ + acc.s2 = dot(a_reg.s0123, b_lm[lm_offset + 2]); \ + acc.s3 = dot(a_reg.s0123, b_lm[lm_offset + 3]); \ + acc.s4 = dot(a_reg.s0123, b_lm[lm_offset + 4]); \ + acc.s5 = dot(a_reg.s0123, b_lm[lm_offset + 5]); \ + acc.s6 = dot(a_reg.s0123, b_lm[lm_offset + 6]); \ + acc.s7 = dot(a_reg.s0123, b_lm[lm_offset + 7]); \ + acc.s8 = dot(a_reg.s0123, b_lm[lm_offset + 8]); \ + acc.s9 = dot(a_reg.s0123, b_lm[lm_offset + 9]); \ + acc.sa = dot(a_reg.s0123, b_lm[lm_offset + 10]); \ + acc.sb = dot(a_reg.s0123, b_lm[lm_offset + 11]); \ + acc.sc = dot(a_reg.s0123, b_lm[lm_offset + 12]); \ + acc.sd = dot(a_reg.s0123, b_lm[lm_offset + 13]); \ + acc.se = dot(a_reg.s0123, b_lm[lm_offset + 14]); \ + acc.sf = dot(a_reg.s0123, b_lm[lm_offset + 15]); \ + acc.s0 += dot(a_reg.s4567, b_lm[lm_offset + 32]); \ + acc.s1 += dot(a_reg.s4567, b_lm[lm_offset + 33]); \ + acc.s2 += dot(a_reg.s4567, b_lm[lm_offset + 34]); \ + acc.s3 += dot(a_reg.s4567, b_lm[lm_offset + 35]); \ + acc.s4 += dot(a_reg.s4567, b_lm[lm_offset + 36]); \ + acc.s5 += dot(a_reg.s4567, b_lm[lm_offset + 37]); \ + acc.s6 += dot(a_reg.s4567, b_lm[lm_offset + 38]); \ + acc.s7 += dot(a_reg.s4567, b_lm[lm_offset + 39]); \ + acc.s8 += dot(a_reg.s4567, b_lm[lm_offset + 40]); \ + acc.s9 += dot(a_reg.s4567, b_lm[lm_offset + 41]); \ + acc.sa += dot(a_reg.s4567, b_lm[lm_offset + 42]); \ + acc.sb += dot(a_reg.s4567, b_lm[lm_offset + 43]); \ + acc.sc += dot(a_reg.s4567, b_lm[lm_offset + 44]); \ + acc.sd += dot(a_reg.s4567, b_lm[lm_offset + 45]); \ + acc.se += dot(a_reg.s4567, b_lm[lm_offset + 46]); \ + acc.sf += dot(a_reg.s4567, b_lm[lm_offset + 47]); \ + c_reg.lo += convert_float8(acc.lo); \ + c_reg.hi += convert_float8(acc.hi); \ + acc.s0 = dot(a_reg.s89ab, b_lm[lm_offset + 64]); \ + acc.s1 = dot(a_reg.s89ab, b_lm[lm_offset + 65]); \ + acc.s2 = dot(a_reg.s89ab, b_lm[lm_offset + 66]); \ + acc.s3 = dot(a_reg.s89ab, b_lm[lm_offset + 67]); \ + acc.s4 = dot(a_reg.s89ab, b_lm[lm_offset + 68]); \ + acc.s5 = dot(a_reg.s89ab, b_lm[lm_offset + 69]); \ + acc.s6 = dot(a_reg.s89ab, b_lm[lm_offset + 70]); \ + acc.s7 = dot(a_reg.s89ab, b_lm[lm_offset + 71]); \ + acc.s8 = dot(a_reg.s89ab, b_lm[lm_offset + 72]); \ + acc.s9 = dot(a_reg.s89ab, b_lm[lm_offset + 73]); \ + acc.sa = dot(a_reg.s89ab, b_lm[lm_offset + 74]); \ + acc.sb = dot(a_reg.s89ab, b_lm[lm_offset + 75]); \ + acc.sc = dot(a_reg.s89ab, b_lm[lm_offset + 76]); \ + acc.sd = dot(a_reg.s89ab, b_lm[lm_offset + 77]); \ + acc.se = dot(a_reg.s89ab, b_lm[lm_offset + 78]); \ + acc.sf = dot(a_reg.s89ab, b_lm[lm_offset + 79]); \ + acc.s0 += dot(a_reg.scdef, b_lm[lm_offset + 96]); \ + acc.s1 += dot(a_reg.scdef, b_lm[lm_offset + 97]); \ + acc.s2 += dot(a_reg.scdef, b_lm[lm_offset + 98]); \ + acc.s3 += dot(a_reg.scdef, b_lm[lm_offset + 99]); \ + acc.s4 += dot(a_reg.scdef, b_lm[lm_offset + 100]); \ + acc.s5 += dot(a_reg.scdef, b_lm[lm_offset + 101]); \ + acc.s6 += dot(a_reg.scdef, b_lm[lm_offset + 102]); \ + acc.s7 += dot(a_reg.scdef, b_lm[lm_offset + 103]); \ + acc.s8 += dot(a_reg.scdef, b_lm[lm_offset + 104]); \ + acc.s9 += dot(a_reg.scdef, b_lm[lm_offset + 105]); \ + acc.sa += dot(a_reg.scdef, b_lm[lm_offset + 106]); \ + acc.sb += dot(a_reg.scdef, b_lm[lm_offset + 107]); \ + acc.sc += dot(a_reg.scdef, b_lm[lm_offset + 108]); \ + acc.sd += dot(a_reg.scdef, b_lm[lm_offset + 109]); \ + acc.se += dot(a_reg.scdef, b_lm[lm_offset + 110]); \ + acc.sf += dot(a_reg.scdef, b_lm[lm_offset + 111]); \ + c_reg.lo += convert_float8(acc.lo); \ + c_reg.hi += convert_float8(acc.hi); \ + + +__attribute__((qcom_wave_pair_mode(1))) // 1=force single 2=force pair +kernel void kernel_gemm_moe_q4_1_f32_ns( + __read_only image1d_buffer_t src0_q, + __global half * src0_d, + __global half * src0_m, + __read_only image1d_buffer_t src1, + __global uint * src2, + __global ushort * src2_emap, + __write_only image1d_buffer_t dst, + __global int * total_tiles, + uint ne00, + uint ne01 +) { + uint block_id_m = get_global_id(1); // m_tile + uint block_id_n = get_global_id(2); // n_tile + + // Boundary check + if (((get_global_id(0) + block_id_m * TILESIZE_M) >= ne01) || (block_id_n >= total_tiles[0])) { + return; + } + + __private half16 reg_a; + __private float32 reg_c = (float32)(0); + __local half4 shared_b[128]; + + const ushort expert_id = src2_emap[block_id_n]; + + const uint row = block_id_m * TILESIZE_M; + const uint col = block_id_n * TILESIZE_N; + + uint sub_block_id_m = get_local_id(0); + uint2 b_global_offset; + b_global_offset.x = ((sub_block_id_m & 3) << 2) + (sub_block_id_m >> 2) * ne00; + b_global_offset.y = b_global_offset.x + (16 * ne00); + uint2 b_local_offset; + b_local_offset.x = (sub_block_id_m & 3) * 32 + (sub_block_id_m >> 2); + b_local_offset.y = b_local_offset.x + 16; + + // Loop along K axis, 32 elements (one block) for each iteration, divided into 2 sub-blocks + for (uint step = 0; step < ne00; step += TILESIZE_K * 2) { + // First sub-block + uint q_sub_offset = row + ((ne01 * step) >> 3) + ((expert_id * ne00 * ne01) >> 3); + uint s_sub_offset = row + ((ne01 * step) >> 5) + ((expert_id * ne00 * ne01) >> 5); + uint b_sub_offset = col * ne00 + step; + + // Load scale and m for current Q4_1 block + uint sm_offset = s_sub_offset + get_global_id(0); + half s = src0_d[sm_offset]; + half m = src0_m[sm_offset]; + + // Load 16 q (64-bits) in transposed layout + uint2 q4x16; + q4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x; + q4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x; + + // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements + float8 bx8_f32; + bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4); + bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4); + // Convert to half and store to LM to share within the subgroup + half8 bx8_f16 = convert_half8(bx8_f32); + shared_b[b_local_offset.x] = bx8_f16.lo; + shared_b[b_local_offset.y] = bx8_f16.hi; + + // Dequantization + dequantize_q4_1(as_ushort4(q4x16), reg_a, s, m); + + sub_group_barrier(CLK_LOCAL_MEM_FENCE); + + // 32 16x16 fp16 dot product with 8 elements reduction for better precision + half16 acc; + dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0); + dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16); + + // Repeat for second sub-block + uint half_step = step + TILESIZE_K; + q_sub_offset = row + ((ne01 * half_step) >> 3) + ((expert_id * ne00 * ne01) >> 3); + b_sub_offset = col * ne00 + half_step; + + // Load next 16 q (64-bits) in transposed layout + q4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x; + q4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x; + + // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements + bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4); + bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4); + // Convert to half and store to LM to share within the subgroup + bx8_f16 = convert_half8(bx8_f32); + shared_b[b_local_offset.x] = bx8_f16.lo; + shared_b[b_local_offset.y] = bx8_f16.hi; + + // Dequantization + dequantize_q4_1(as_ushort4(q4x16), reg_a, s, m); + + sub_group_barrier(CLK_LOCAL_MEM_FENCE); + + // 32 16x16 fp16 dot product with 3-levels reduction for better precision + dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0); + dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16); + } + + // Load poster router and share in LM + __local uint out_idx[TILESIZE_N]; + + if (get_local_id(0) < TILESIZE_N) { + uint idx = src2[block_id_n * TILESIZE_N + get_local_id(0)]; + if (idx == 0xFFFFFFFF) { + idx = src2[block_id_n * TILESIZE_N + 0]; + } + out_idx[get_local_id(0)] = idx * ne01; + } + + barrier(CLK_LOCAL_MEM_FENCE); + + // Scatter results back to original position in output grid + uint m_offset = row + get_local_id(0); + + write_imagef(dst, out_idx[1] + m_offset, (reg_c.s1)); + write_imagef(dst, out_idx[2] + m_offset, (reg_c.s2)); + write_imagef(dst, out_idx[3] + m_offset, (reg_c.s3)); + write_imagef(dst, out_idx[4] + m_offset, (reg_c.s4)); + write_imagef(dst, out_idx[5] + m_offset, (reg_c.s5)); + write_imagef(dst, out_idx[6] + m_offset, (reg_c.s6)); + write_imagef(dst, out_idx[7] + m_offset, (reg_c.s7)); + write_imagef(dst, out_idx[8] + m_offset, (reg_c.s8)); + write_imagef(dst, out_idx[9] + m_offset, (reg_c.s9)); + write_imagef(dst, out_idx[10] + m_offset, (reg_c.sa)); + write_imagef(dst, out_idx[11] + m_offset, (reg_c.sb)); + write_imagef(dst, out_idx[12] + m_offset, (reg_c.sc)); + write_imagef(dst, out_idx[13] + m_offset, (reg_c.sd)); + write_imagef(dst, out_idx[14] + m_offset, (reg_c.se)); + write_imagef(dst, out_idx[15] + m_offset, (reg_c.sf)); + write_imagef(dst, out_idx[16] + m_offset, (reg_c.sg)); + write_imagef(dst, out_idx[17] + m_offset, (reg_c.sh)); + write_imagef(dst, out_idx[18] + m_offset, (reg_c.si)); + write_imagef(dst, out_idx[19] + m_offset, (reg_c.sj)); + write_imagef(dst, out_idx[20] + m_offset, (reg_c.sk)); + write_imagef(dst, out_idx[21] + m_offset, (reg_c.sl)); + write_imagef(dst, out_idx[22] + m_offset, (reg_c.sm)); + write_imagef(dst, out_idx[23] + m_offset, (reg_c.sn)); + write_imagef(dst, out_idx[24] + m_offset, (reg_c.so)); + write_imagef(dst, out_idx[25] + m_offset, (reg_c.sp)); + write_imagef(dst, out_idx[26] + m_offset, (reg_c.sq)); + write_imagef(dst, out_idx[27] + m_offset, (reg_c.sr)); + write_imagef(dst, out_idx[28] + m_offset, (reg_c.ss)); + write_imagef(dst, out_idx[29] + m_offset, (reg_c.st)); + write_imagef(dst, out_idx[30] + m_offset, (reg_c.su)); + write_imagef(dst, out_idx[31] + m_offset, (reg_c.sv)); + + // Store zero padding parts to the index of first output in tile, override correct result in the end + barrier(CLK_GLOBAL_MEM_FENCE); + write_imagef(dst, out_idx[0] + m_offset, (reg_c.s0)); +} diff --git a/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_0_f32.cl similarity index 99% rename from ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl rename to ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_0_f32.cl index ecb577b993..159378049f 100644 --- a/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl +++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_0_f32.cl @@ -17,7 +17,7 @@ REQD_SUBGROUP_SIZE_128 #endif -kernel void kernel_mul_mat_Ab_Bi_8x4( +kernel void kernel_gemm_noshuffle_q4_0_f32( global const ushort * src0_q, // quantized A global const half * src0_d, // A scales __read_only image1d_buffer_t src1, // B (1d image) diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_q8_0_f32_8x4.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q8_0_f32.cl similarity index 98% rename from ggml/src/ggml-opencl/kernels/mul_mm_q8_0_f32_8x4.cl rename to ggml/src/ggml-opencl/kernels/gemm_noshuffle_q8_0_f32.cl index 51ce2121ce..7f06a22a2c 100644 --- a/ggml/src/ggml-opencl/kernels/mul_mm_q8_0_f32_8x4.cl +++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q8_0_f32.cl @@ -11,7 +11,7 @@ REQD_SUBGROUP_SIZE_128 #endif -kernel void kernel_mul_mm_q8_0_f32_8x4( +kernel void kernel_gemm_noshuffle_q8_0_f32( global const uint * src0_q, global const half * src0_d, __read_only image1d_buffer_t src1, diff --git a/ggml/src/ggml-opencl/kernels/gemm_xmem_f16_f32_os8.cl b/ggml/src/ggml-opencl/kernels/gemm_xmem_f16_f32_os8.cl new file mode 100644 index 0000000000..df9d9aed06 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/gemm_xmem_f16_f32_os8.cl @@ -0,0 +1,233 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_uniform_load : enable +#pragma OPENCL EXTENSION cl_qcom_subgroup_constant_load : enable + +__constant sampler_t smp_zero = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; + +__kernel void adreno_xmem_pack_src_f32( + __global const void * src_void, + ulong offset, + __write_only image2d_t src_img, + int K, + int N) { + const int x = get_global_id(0); + const int y = get_global_id(1); + const int kpack = K / 4; + + if (x >= N || y >= kpack) { + return; + } + + __global const float * src = (__global const float *)((__global const char *)src_void + offset); + const int base = x*K + y*4; + const half4 v = (half4)((half)src[base + 0], (half)src[base + 1], (half)src[base + 2], (half)src[base + 3]); + write_imageh(src_img, (int2)(x, y), v); +} + +__kernel void adreno_xmem_prepack_weight_f16( + __global half4 * dst, + __global const void * src_void, + ulong offset, + int K, + int M, + int kpack, + int npack, + int os) { + const int linear = get_global_id(0); + const int total = kpack*npack; + if (linear >= total) { + return; + } + + __global const half * src = (__global const half *)((__global const char *)src_void + offset); + + const int dst_ogroup = linear % os; + const int dst_o_sp_i = linear / os; + const int dst_i = dst_o_sp_i % kpack; + const int dst_o = dst_o_sp_i / kpack; + const int o_slice = dst_o*os + dst_ogroup; + const int k_base = dst_i*4; + + half4 w0 = (half4)(0.0h); + half4 w1 = (half4)(0.0h); + half4 w2 = (half4)(0.0h); + half4 w3 = (half4)(0.0h); + + const int o0 = o_slice*4 + 0; + const int o1 = o_slice*4 + 1; + const int o2 = o_slice*4 + 2; + const int o3 = o_slice*4 + 3; + + if (k_base + 0 < K) { + if (o0 < M) w0.s0 = src[o0*K + k_base + 0]; + if (o1 < M) w0.s1 = src[o1*K + k_base + 0]; + if (o2 < M) w0.s2 = src[o2*K + k_base + 0]; + if (o3 < M) w0.s3 = src[o3*K + k_base + 0]; + } + if (k_base + 1 < K) { + if (o0 < M) w1.s0 = src[o0*K + k_base + 1]; + if (o1 < M) w1.s1 = src[o1*K + k_base + 1]; + if (o2 < M) w1.s2 = src[o2*K + k_base + 1]; + if (o3 < M) w1.s3 = src[o3*K + k_base + 1]; + } + if (k_base + 2 < K) { + if (o0 < M) w2.s0 = src[o0*K + k_base + 2]; + if (o1 < M) w2.s1 = src[o1*K + k_base + 2]; + if (o2 < M) w2.s2 = src[o2*K + k_base + 2]; + if (o3 < M) w2.s3 = src[o3*K + k_base + 2]; + } + if (k_base + 3 < K) { + if (o0 < M) w3.s0 = src[o0*K + k_base + 3]; + if (o1 < M) w3.s1 = src[o1*K + k_base + 3]; + if (o2 < M) w3.s2 = src[o2*K + k_base + 3]; + if (o3 < M) w3.s3 = src[o3*K + k_base + 3]; + } + + dst[linear*4 + 0] = w0; + dst[linear*4 + 1] = w1; + dst[linear*4 + 2] = w2; + dst[linear*4 + 3] = w3; +} + +__attribute__((qcom_max_concurrent_subgroups(12))) +__kernel void kernel_gemm_xmem_f16_f32_os8( + __constant half8 * weights_buffer __attribute__((sub_group_uniform)), + __constant half8 * xmem_buffer __attribute__((max_constant_size((6144)))), + __read_only image2d_t src_img, + __write_only image2d_t dst_img, + int N, + int npack, + int kpack) { + const int X = get_group_id(1)*get_local_size(0) + get_local_id(0); + const int Z = get_group_id(0)*get_local_size(2) + get_local_id(2); + + if (X >= N || Z*8 >= npack) { + return; + } + + half4 r0 = (half4)(0.0h); + half4 r1 = (half4)(0.0h); + half4 r2 = (half4)(0.0h); + half4 r3 = (half4)(0.0h); + half4 r4 = (half4)(0.0h); + half4 r5 = (half4)(0.0h); + half4 r6 = (half4)(0.0h); + half4 r7 = (half4)(0.0h); + + int f_offset = Z*kpack*32; + int subgroup_id = (int)(0x1F & qcom_get_physical_sub_group_id()); + subgroup_id = subgroup_id % 12; + const int c_offset = subgroup_id*32; + __constant half16 * weights_cache = (__constant half16 *)&xmem_buffer[c_offset]; + + int coord_s = 0; + do { + const half4 src0 = read_imageh(src_img, smp_zero, (int2)(X, coord_s)); + coord_s++; + const half4 src1 = read_imageh(src_img, smp_zero, (int2)(X, coord_s)); + coord_s++; + + qcom_sub_group_constant_load8(xmem_buffer, weights_buffer, c_offset, f_offset >> 1, 32); + f_offset += 64; + qcom_sub_group_sync(QCOM_CLK_CONST_LOAD_SYNC); + + r0 += src0.x * weights_cache[0].s0123; + r0 += src0.y * weights_cache[0].s4567; + r0 += src0.z * weights_cache[0].s89ab; + r0 += src0.w * weights_cache[0].scdef; + r1 += src0.x * weights_cache[1].s0123; + r1 += src0.y * weights_cache[1].s4567; + r1 += src0.z * weights_cache[1].s89ab; + r1 += src0.w * weights_cache[1].scdef; + r2 += src0.x * weights_cache[2].s0123; + r2 += src0.y * weights_cache[2].s4567; + r2 += src0.z * weights_cache[2].s89ab; + r2 += src0.w * weights_cache[2].scdef; + r3 += src0.x * weights_cache[3].s0123; + r3 += src0.y * weights_cache[3].s4567; + r3 += src0.z * weights_cache[3].s89ab; + r3 += src0.w * weights_cache[3].scdef; + r4 += src0.x * weights_cache[4].s0123; + r4 += src0.y * weights_cache[4].s4567; + r4 += src0.z * weights_cache[4].s89ab; + r4 += src0.w * weights_cache[4].scdef; + r5 += src0.x * weights_cache[5].s0123; + r5 += src0.y * weights_cache[5].s4567; + r5 += src0.z * weights_cache[5].s89ab; + r5 += src0.w * weights_cache[5].scdef; + r6 += src0.x * weights_cache[6].s0123; + r6 += src0.y * weights_cache[6].s4567; + r6 += src0.z * weights_cache[6].s89ab; + r6 += src0.w * weights_cache[6].scdef; + r7 += src0.x * weights_cache[7].s0123; + r7 += src0.y * weights_cache[7].s4567; + r7 += src0.z * weights_cache[7].s89ab; + r7 += src0.w * weights_cache[7].scdef; + + r0 += src1.x * weights_cache[8].s0123; + r0 += src1.y * weights_cache[8].s4567; + r0 += src1.z * weights_cache[8].s89ab; + r0 += src1.w * weights_cache[8].scdef; + r1 += src1.x * weights_cache[9].s0123; + r1 += src1.y * weights_cache[9].s4567; + r1 += src1.z * weights_cache[9].s89ab; + r1 += src1.w * weights_cache[9].scdef; + r2 += src1.x * weights_cache[10].s0123; + r2 += src1.y * weights_cache[10].s4567; + r2 += src1.z * weights_cache[10].s89ab; + r2 += src1.w * weights_cache[10].scdef; + r3 += src1.x * weights_cache[11].s0123; + r3 += src1.y * weights_cache[11].s4567; + r3 += src1.z * weights_cache[11].s89ab; + r3 += src1.w * weights_cache[11].scdef; + r4 += src1.x * weights_cache[12].s0123; + r4 += src1.y * weights_cache[12].s4567; + r4 += src1.z * weights_cache[12].s89ab; + r4 += src1.w * weights_cache[12].scdef; + r5 += src1.x * weights_cache[13].s0123; + r5 += src1.y * weights_cache[13].s4567; + r5 += src1.z * weights_cache[13].s89ab; + r5 += src1.w * weights_cache[13].scdef; + r6 += src1.x * weights_cache[14].s0123; + r6 += src1.y * weights_cache[14].s4567; + r6 += src1.z * weights_cache[14].s89ab; + r6 += src1.w * weights_cache[14].scdef; + r7 += src1.x * weights_cache[15].s0123; + r7 += src1.y * weights_cache[15].s4567; + r7 += src1.z * weights_cache[15].s89ab; + r7 += src1.w * weights_cache[15].scdef; + } while (coord_s < kpack); + + int coord_s_out = Z*8; + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r0); coord_s_out++; } + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r1); coord_s_out++; } + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r2); coord_s_out++; } + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r3); coord_s_out++; } + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r4); coord_s_out++; } + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r5); coord_s_out++; } + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r6); coord_s_out++; } + if (coord_s_out < npack) { write_imageh(dst_img, (int2)(X, coord_s_out), r7); } +} + +__kernel void adreno_xmem_store_dst_f32( + __read_only image2d_t dst_img, + __global void * dst_void, + ulong offset, + int M, + int N) { + const int x = get_global_id(0); + const int y = get_global_id(1); + const int npack = (M + 3) / 4; + + if (x >= N || y >= npack) { + return; + } + + __global float * dst = (__global float *)((__global char *)dst_void + offset); + const half4 hv = read_imageh(dst_img, smp_zero, (int2)(x, y)); + const int m = y*4; + if (m + 0 < M) dst[x*M + m + 0] = (float)hv.s0; + if (m + 1 < M) dst[x*M + m + 1] = (float)hv.s1; + if (m + 2 < M) dst[x*M + m + 2] = (float)hv.s2; + if (m + 3 < M) dst[x*M + m + 3] = (float)hv.s3; +} diff --git a/ggml/src/ggml-opencl/kernels/gemv_moe_mxfp4_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemv_moe_mxfp4_f32_ns.cl new file mode 100644 index 0000000000..e4b44c1a56 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/gemv_moe_mxfp4_f32_ns.cl @@ -0,0 +1,161 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable +#pragma OPENCL EXTENSION cl_khr_subgroups : enable +#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable + +#define QK_MXFP4 32 +#define N_SIMDGROUP 4 +#define SIMDGROUP_WIDTH 64 + +static inline half8 mxfp4_to_fp16_packed8(ushort2 fp4x8) { + ushort2 fp16_packed_a_0, fp16_packed_b_0, bias_a, bias_b, sign_a, sign_b; + fp16_packed_a_0.lo = (fp4x8.s0 << 9) & 0x0E00; + fp16_packed_a_0.hi = (fp4x8.s0 << 5) & 0x0E00; + fp16_packed_b_0.lo = (fp4x8.s0 << 1) & 0x0E00; + fp16_packed_b_0.hi = (fp4x8.s0 >> 3) & 0x0E00; + + bias_a.lo = (fp16_packed_a_0.lo != 0) ? 0x3800 : 0x0; + bias_a.hi = (fp16_packed_a_0.hi != 0) ? 0x3800 : 0x0; + bias_b.lo = (fp16_packed_b_0.lo != 0) ? 0x3800 : 0x0; + bias_b.hi = (fp16_packed_b_0.hi != 0) ? 0x3800 : 0x0; + + fp16_packed_a_0.lo = (fp16_packed_a_0.lo != 0x0200) ? fp16_packed_a_0.lo : 0x0; + fp16_packed_a_0.hi = (fp16_packed_a_0.hi != 0x0200) ? fp16_packed_a_0.hi : 0x0; + fp16_packed_b_0.lo = (fp16_packed_b_0.lo != 0x0200) ? fp16_packed_b_0.lo : 0x0; + fp16_packed_b_0.hi = (fp16_packed_b_0.hi != 0x0200) ? fp16_packed_b_0.hi : 0x0; + + sign_a.lo = (fp4x8.s0 << 12) & 0x8000; + sign_a.hi = (fp4x8.s0 << 8) & 0x8000; + sign_b.lo = (fp4x8.s0 << 4) & 0x8000; + sign_b.hi = fp4x8.s0 & 0x8000; + + fp16_packed_a_0 = sign_a + bias_a + fp16_packed_a_0; + fp16_packed_b_0 = sign_b + bias_b + fp16_packed_b_0; + + ushort2 fp16_packed_a_1, fp16_packed_b_1; + fp16_packed_a_1.lo = (fp4x8.s1 << 9) & 0x0E00; + fp16_packed_a_1.hi = (fp4x8.s1 << 5) & 0x0E00; + fp16_packed_b_1.lo = (fp4x8.s1 << 1) & 0x0E00; + fp16_packed_b_1.hi = (fp4x8.s1 >> 3) & 0x0E00; + + bias_a.lo = (fp16_packed_a_1.lo != 0) ? 0x3800 : 0x0; + bias_a.hi = (fp16_packed_a_1.hi != 0) ? 0x3800 : 0x0; + bias_b.lo = (fp16_packed_b_1.lo != 0) ? 0x3800 : 0x0; + bias_b.hi = (fp16_packed_b_1.hi != 0) ? 0x3800 : 0x0; + + fp16_packed_a_1.lo = (fp16_packed_a_1.lo != 0x0200) ? fp16_packed_a_1.lo : 0x0; + fp16_packed_a_1.hi = (fp16_packed_a_1.hi != 0x0200) ? fp16_packed_a_1.hi : 0x0; + fp16_packed_b_1.lo = (fp16_packed_b_1.lo != 0x0200) ? fp16_packed_b_1.lo : 0x0; + fp16_packed_b_1.hi = (fp16_packed_b_1.hi != 0x0200) ? fp16_packed_b_1.hi : 0x0; + + sign_a.lo = (fp4x8.s1 << 12) & 0x8000; + sign_a.hi = (fp4x8.s1 << 8) & 0x8000; + sign_b.lo = (fp4x8.s1 << 4) & 0x8000; + sign_b.hi = fp4x8.s1 & 0x8000; + + fp16_packed_a_1 = sign_a + bias_a + fp16_packed_a_1; + fp16_packed_b_1 = sign_b + bias_b + fp16_packed_b_1; + + return as_half8((ushort8)(fp16_packed_a_0, fp16_packed_b_0, fp16_packed_a_1, fp16_packed_b_1)); +} + +static inline float e8m0_to_fp32(uchar x) { + int bits; + bits = (x == 0) ? 0x00400000 : ((uint) x << 23); + return as_float(bits); +} + + +__attribute__((qcom_reqd_sub_group_size("half"))) +__kernel void kernel_gemv_moe_mxfp4_f32_ns( + __global uint * src0_q, + __global uchar * src0_e, + __read_only image1d_buffer_t src1, + __global uint * src2, + __global float * dst, + ulong offsetd, + int ne00, + int ne01, + int ne11 +) { + uint i01 = get_global_id(0); + uint i20 = get_global_id(2); + uint sgid = get_local_id(1); + uint slid = get_sub_group_local_id(); + + uint i11 = i20 % ne11; + + uint expert_id = src2[i20]; + uint expert_offset = expert_id * ne00 * ne01 / 32; + + __private float sum = 0.0f; // each thread calculate partial sum of one output + + // loop along ne00 in block granularity, skip 4 blocks every iter + for (uint ib00 = sgid; ib00 < (ne00 / QK_MXFP4); ib00 += N_SIMDGROUP) { + + // load one block of q + uint4 regQ; + uint block_offset = expert_offset * 4 + ib00 * ne01 * 4 + i01; + + regQ.s0 = src0_q[block_offset]; + regQ.s1 = src0_q[block_offset + ne01]; + regQ.s2 = src0_q[block_offset + ne01 * 2]; + regQ.s3 = src0_q[block_offset + ne01 * 3]; + + uint offset = i11 * ne00 / 4 + ib00 * 8; + + half8 fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s0)); + + float4 shared_y4; + shared_y4 = read_imagef(src1, (offset + 0)); + float4 acc = shared_y4 * convert_float4(fp16x8.lo); + + shared_y4 = read_imagef(src1, (offset + 1)); + acc += shared_y4 * convert_float4(fp16x8.hi); + + fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s1)); + + shared_y4 = read_imagef(src1, (offset + 2)); + acc += shared_y4 * convert_float4(fp16x8.lo); + + shared_y4 = read_imagef(src1, (offset + 3)); + acc += shared_y4 * convert_float4(fp16x8.hi); + + + fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s2)); + + shared_y4 = read_imagef(src1, (offset + 4)); + acc += shared_y4 * convert_float4(fp16x8.lo); + + shared_y4 = read_imagef(src1, (offset + 5)); + acc += shared_y4 * convert_float4(fp16x8.hi); + + + fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s3)); + + shared_y4 = read_imagef(src1, (offset + 6)); + acc += shared_y4 * convert_float4(fp16x8.lo); + + shared_y4 = read_imagef(src1, (offset + 7)); + acc += shared_y4 * convert_float4(fp16x8.hi); + + uchar regE = src0_e[ib00 * ne01 + i01 + expert_offset]; + sum += e8m0_to_fp32(regE) * ((acc.s0 + acc.s1) + (acc.s2 + acc.s3)); + } + + // reduction in local memory, assumes #subgroups=4 + __local float reduceLM[SIMDGROUP_WIDTH * (N_SIMDGROUP - 1)]; + if (sgid == 1) reduceLM[SIMDGROUP_WIDTH * 0 + slid] = sum; + if (sgid == 2) reduceLM[SIMDGROUP_WIDTH * 1 + slid] = sum; + if (sgid == 3) reduceLM[SIMDGROUP_WIDTH * 2 + slid] = sum; + barrier(CLK_LOCAL_MEM_FENCE); + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 0 + slid]; + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 1 + slid]; + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 2 + slid]; + + // 1 outputs per thread in subgroup 0 + if (sgid == 0) { + dst = dst + (offsetd >> 2); + dst[i01 + i20 * ne01] = sum; + } + +} diff --git a/ggml/src/ggml-opencl/kernels/gemv_moe_q4_0_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemv_moe_q4_0_f32_ns.cl new file mode 100644 index 0000000000..6f4d3f5321 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/gemv_moe_q4_0_f32_ns.cl @@ -0,0 +1,116 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable +#pragma OPENCL EXTENSION cl_khr_subgroups : enable +#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable + +#define QK_Q4_0 32 +#define N_SIMDGROUP 4 +#define SIMDGROUP_WIDTH 64 + +static inline float8 q4_0_to_fp32_packed8(ushort2 q4x8) { + float8 fp32x8; + fp32x8.s0 = (float)((q4x8.s0 & 0x000F) - 8); + fp32x8.s1 = (float)(((q4x8.s0 & 0x00F0) >> 4) - 8); + fp32x8.s2 = (float)(((q4x8.s0 & 0x0F00) >> 8) - 8); + fp32x8.s3 = (float)(((q4x8.s0 & 0xF000) >> 12) - 8); + fp32x8.s4 = (float)((q4x8.s1 & 0x000F) - 8); + fp32x8.s5 = (float)(((q4x8.s1 & 0x00F0) >> 4) - 8); + fp32x8.s6 = (float)(((q4x8.s1 & 0x0F00) >> 8) - 8); + fp32x8.s7 = (float)(((q4x8.s1 & 0xF000) >> 12) - 8); + return fp32x8; +} + + +__attribute__((qcom_reqd_sub_group_size("half"))) +__kernel void kernel_gemv_moe_q4_0_f32_ns( + __global uint * src0_q, + __global half * src0_d, + __read_only image1d_buffer_t src1, + __global uint * src2, + __global float * dst, + ulong offsetd, + int ne00, + int ne01, + int ne11 +) { + uint i01 = get_global_id(0); + uint i20 = get_global_id(2); + uint sgid = get_local_id(1); + uint slid = get_sub_group_local_id(); + + uint i11 = i20 % ne11; + + uint expert_id = src2[i20]; + uint expert_offset = expert_id * ne00 * ne01 / 32; + + __private float sum = 0.0f; // each thread calculate partial sum of one output + + // loop along ne00 in block granularity, skip 4 blocks every iter + for (uint ib00 = sgid; ib00 < (ne00 / QK_Q4_0); ib00 += N_SIMDGROUP) { + + // load one block of q + uint4 regQ; + uint block_offset = expert_offset * 4 + ib00 * ne01 * 4 + i01; + + regQ.s0 = src0_q[block_offset]; + regQ.s1 = src0_q[block_offset + ne01]; + regQ.s2 = src0_q[block_offset + ne01 * 2]; + regQ.s3 = src0_q[block_offset + ne01 * 3]; + + uint offset = i11 * ne00 / 4 + ib00 * 8; + + float8 fp32x8 = q4_0_to_fp32_packed8(as_ushort2(regQ.s0)); + + float4 shared_y4; + shared_y4 = read_imagef(src1, (offset + 0)); + float4 acc = shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 1)); + acc += shared_y4 * fp32x8.hi; + + fp32x8 = q4_0_to_fp32_packed8(as_ushort2(regQ.s1)); + + shared_y4 = read_imagef(src1, (offset + 2)); + acc += shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 3)); + acc += shared_y4 * fp32x8.hi; + + + fp32x8 = q4_0_to_fp32_packed8(as_ushort2(regQ.s2)); + + shared_y4 = read_imagef(src1, (offset + 4)); + acc += shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 5)); + acc += shared_y4 * fp32x8.hi; + + + fp32x8 = q4_0_to_fp32_packed8(as_ushort2(regQ.s3)); + + shared_y4 = read_imagef(src1, (offset + 6)); + acc += shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 7)); + acc += shared_y4 * fp32x8.hi; + + half regS = src0_d[ib00 * ne01 + i01 + expert_offset]; + sum += (float)(regS) * ((acc.s0 + acc.s1) + (acc.s2 + acc.s3)); + } + + // reduction in local memory, assumes #subgroups=4 + __local float reduceLM[SIMDGROUP_WIDTH * (N_SIMDGROUP - 1)]; + if (sgid == 1) reduceLM[SIMDGROUP_WIDTH * 0 + slid] = sum; + if (sgid == 2) reduceLM[SIMDGROUP_WIDTH * 1 + slid] = sum; + if (sgid == 3) reduceLM[SIMDGROUP_WIDTH * 2 + slid] = sum; + barrier(CLK_LOCAL_MEM_FENCE); + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 0 + slid]; + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 1 + slid]; + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 2 + slid]; + + // 1 outputs per thread in subgroup 0 + if (sgid == 0) { + dst = dst + (offsetd >> 2); + dst[i01 + i20 * ne01] = sum; + } + +} diff --git a/ggml/src/ggml-opencl/kernels/gemv_moe_q4_1_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemv_moe_q4_1_f32_ns.cl new file mode 100644 index 0000000000..3739a21570 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/gemv_moe_q4_1_f32_ns.cl @@ -0,0 +1,119 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable +#pragma OPENCL EXTENSION cl_khr_subgroups : enable +#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable + +#define QK_Q4_1 32 +#define N_SIMDGROUP 4 +#define SIMDGROUP_WIDTH 64 + +static inline float8 q4_1_to_fp32_packed8(ushort2 q4x8, half s, half m) { + float8 fp32x8; + fp32x8.s0 = (float)((q4x8.s0 & 0x000F) * s + m); + fp32x8.s1 = (float)(((q4x8.s0 & 0x00F0) >> 4) * s + m); + fp32x8.s2 = (float)(((q4x8.s0 & 0x0F00) >> 8) * s + m); + fp32x8.s3 = (float)(((q4x8.s0 & 0xF000) >> 12) * s + m); + fp32x8.s4 = (float)((q4x8.s1 & 0x000F) * s + m); + fp32x8.s5 = (float)(((q4x8.s1 & 0x00F0) >> 4) * s + m); + fp32x8.s6 = (float)(((q4x8.s1 & 0x0F00) >> 8) * s + m); + fp32x8.s7 = (float)(((q4x8.s1 & 0xF000) >> 12) * s + m); + return fp32x8; +} + + +__attribute__((qcom_reqd_sub_group_size("half"))) +__kernel void kernel_gemv_moe_q4_1_f32_ns( + __global uint * src0_q, + __global half * src0_d, + __global half * src0_m, + __read_only image1d_buffer_t src1, + __global uint * src2, + __global float * dst, + ulong offsetd, + int ne00, + int ne01, + int ne11 +) { + uint i01 = get_global_id(0); + uint i20 = get_global_id(2); + uint sgid = get_local_id(1); + uint slid = get_sub_group_local_id(); + + uint i11 = i20 % ne11; + + uint expert_id = src2[i20]; + uint expert_offset = expert_id * ne00 * ne01 / 32; + + __private float sum = 0.0f; // each thread calculate partial sum of one output + + // loop along ne00 in block granularity, skip 4 blocks every iter + for (uint ib00 = sgid; ib00 < (ne00 / QK_Q4_1); ib00 += N_SIMDGROUP) { + + // load one block of q + uint4 regQ; + uint block_offset = expert_offset * 4 + ib00 * ne01 * 4 + i01; + + regQ.s0 = src0_q[block_offset]; + regQ.s1 = src0_q[block_offset + ne01]; + regQ.s2 = src0_q[block_offset + ne01 * 2]; + regQ.s3 = src0_q[block_offset + ne01 * 3]; + + uint offset = i11 * ne00 / 4 + ib00 * 8; + + half regM = src0_m[ib00 * ne01 + i01 + expert_offset]; + half regS = src0_d[ib00 * ne01 + i01 + expert_offset]; + + float8 fp32x8 = q4_1_to_fp32_packed8(as_ushort2(regQ.s0), regS, regM); + + float4 shared_y4; + shared_y4 = read_imagef(src1, (offset + 0)); + float4 acc = shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 1)); + acc += shared_y4 * fp32x8.hi; + + fp32x8 = q4_1_to_fp32_packed8(as_ushort2(regQ.s1), regS, regM); + + shared_y4 = read_imagef(src1, (offset + 2)); + acc += shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 3)); + acc += shared_y4 * fp32x8.hi; + + + fp32x8 = q4_1_to_fp32_packed8(as_ushort2(regQ.s2), regS, regM); + + shared_y4 = read_imagef(src1, (offset + 4)); + acc += shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 5)); + acc += shared_y4 * fp32x8.hi; + + + fp32x8 = q4_1_to_fp32_packed8(as_ushort2(regQ.s3), regS, regM); + + shared_y4 = read_imagef(src1, (offset + 6)); + acc += shared_y4 * fp32x8.lo; + + shared_y4 = read_imagef(src1, (offset + 7)); + acc += shared_y4 * fp32x8.hi; + + sum += ((acc.s0 + acc.s1) + (acc.s2 + acc.s3)); + } + + // reduction in local memory, assumes #subgroups=4 + __local float reduceLM[SIMDGROUP_WIDTH * (N_SIMDGROUP - 1)]; + if (sgid == 1) reduceLM[SIMDGROUP_WIDTH * 0 + slid] = sum; + if (sgid == 2) reduceLM[SIMDGROUP_WIDTH * 1 + slid] = sum; + if (sgid == 3) reduceLM[SIMDGROUP_WIDTH * 2 + slid] = sum; + barrier(CLK_LOCAL_MEM_FENCE); + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 0 + slid]; + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 1 + slid]; + if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 2 + slid]; + + // 1 outputs per thread in subgroup 0 + if (sgid == 0) { + dst = dst + (offsetd >> 2); + dst[i01 + i20 * ne01] = sum; + } + +} diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32.cl similarity index 98% rename from ggml/src/ggml-opencl/kernels/gemv_noshuffle_general.cl rename to ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32.cl index 469d3edef0..1068320691 100644 --- a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general.cl +++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32.cl @@ -191,7 +191,7 @@ #ifdef ADRENO_GPU REQD_SUBGROUP_SIZE_64 #endif -__kernel void kernel_gemv_noshuffle( +__kernel void kernel_gemv_noshuffle_q4_0_f32( __read_only image1d_buffer_t src0_q, // quantized A global half2 * src0_d, // A scales __read_only image1d_buffer_t src1, // B @@ -238,21 +238,21 @@ __kernel void kernel_gemv_noshuffle( regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x; regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x; regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x; -#ifdef VECTOR_SUB_GROUP_BROADCAT +#ifdef VECTOR_SUB_GROUP_BROADCAST dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regB); #else dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regB); -#endif // VECTOR_SUB_GROUP_BROADCAT +#endif // VECTOR_SUB_GROUP_BROADCAST regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x; regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x; regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x; regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x; -#ifdef VECTOR_SUB_GROUP_BROADCAT +#ifdef VECTOR_SUB_GROUP_BROADCAST dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regB); #else dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regB); -#endif // VECTOR_SUB_GROUP_BROADCAT +#endif // VECTOR_SUB_GROUP_BROADCAST } // reduction in local memory, assumes #wave=4 diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32_spec.cl similarity index 98% rename from ggml/src/ggml-opencl/kernels/gemv_noshuffle.cl rename to ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32_spec.cl index ee5c79f000..571a375da7 100644 --- a/ggml/src/ggml-opencl/kernels/gemv_noshuffle.cl +++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32_spec.cl @@ -191,7 +191,7 @@ #ifdef ADRENO_GPU REQD_SUBGROUP_SIZE_64 #endif -__kernel void kernel_gemv_noshuffle( +__kernel void kernel_gemv_noshuffle_q4_0_f32( __read_only image1d_buffer_t src0_q, // quantized A global half2 * src0_d, // A scales __read_only image1d_buffer_t src1, // B @@ -232,21 +232,21 @@ __kernel void kernel_gemv_noshuffle( regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x; regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x; regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x; -#ifdef VECTOR_SUB_GROUP_BROADCAT +#ifdef VECTOR_SUB_GROUP_BROADCAST dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regB); #else dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regB); -#endif // VECTOR_SUB_GROUP_BROADCAT +#endif // VECTOR_SUB_GROUP_BROADCAST regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x; regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x; regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x; regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x; -#ifdef VECTOR_SUB_GROUP_BROADCAT +#ifdef VECTOR_SUB_GROUP_BROADCAST dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regB); #else dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regB); -#endif // VECTOR_SUB_GROUP_BROADCAT +#endif // VECTOR_SUB_GROUP_BROADCAST } // reduction in local memory, assumes #wave=4 diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q8_0_f32.cl similarity index 100% rename from ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl rename to ggml/src/ggml-opencl/kernels/gemv_noshuffle_q8_0_f32.cl diff --git a/ggml/src/ggml-opencl/kernels/moe_reorder_b.cl b/ggml/src/ggml-opencl/kernels/moe_reorder_b.cl new file mode 100644 index 0000000000..e6295c8164 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/moe_reorder_b.cl @@ -0,0 +1,30 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable + +#define QK4_0 32 + +kernel void kernel_moe_reorder_b( + global float4 * src, + global uint * router, + global float4 * dst, + global int * total_tiles, + uint K, + ushort map_ratio, + uint tile_size +) { + uint k_4 = get_global_id(0); + uint post_router_idx = get_global_id(1); + + if ((k_4 >= (K / 4)) || (post_router_idx >= total_tiles[0] * tile_size)) { + return; + } + + uint router_idx = router[post_router_idx]; + + float4 out = (float4)(0); + if (router_idx != 0xFFFFFFFF) { + ushort activation_idx = router_idx / map_ratio; + out = src[activation_idx * K / 4 + k_4]; + } + + dst[post_router_idx * K / 4 + k_4] = out; +} diff --git a/ggml/src/ggml-opencl/kernels/moe_sort_by_expert.cl b/ggml/src/ggml-opencl/kernels/moe_sort_by_expert.cl new file mode 100644 index 0000000000..d9703429b1 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/moe_sort_by_expert.cl @@ -0,0 +1,82 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable + +__kernel void kernel_moe_histogram( + __global const int * input, + __global int * hist, + uint N, + uint topK, + uint n_experts +) { + uint n = get_global_id(0); + uint k = get_global_id(1); + + if (n >= N || k >= topK) { + return; + } + + int expert_id = input[n * n_experts + k]; + atomic_inc(&hist[expert_id]); +} + +__kernel void kernel_moe_scan( + __global int * hist, + __global int * tile_offset, + __global int * total_tiles, + __global int * slot_counter, + int tile_size, + uint n_experts +) { + int offset = 0; + for (int v = 0; v < n_experts; v++) { + int count = hist[v]; + int tiles = (count + tile_size - 1) / tile_size; + tile_offset[v] = offset; + offset += tiles; + hist[v] = 0; + slot_counter[v] = 0; + } + + *total_tiles = offset; +} + +__kernel void kernel_moe_scatter( + __global const int * input, + __global int * post_router, + __global ushort * emap, + __global const int * tile_offset, + __global int * slot_counter, + int N, + int topK, + uint n_experts +) { + uint n = get_global_id(0); + uint k = get_global_id(1); + + if (n >= N || k >= topK) { + return; + } + + int val = input[n * n_experts + k]; + + int local_slot = atomic_inc(&slot_counter[val]); + + int tile_idx = tile_offset[val] + (local_slot / 32); + int lane = local_slot % 32; + int out_pos = tile_idx * 32 + lane; + + post_router[out_pos] = n * topK + k; + emap[tile_idx] = val; +} + +__kernel void kernel_moe_fill( + __global int * post_router, + __global int * total_tiles, + int tile_size +) { + int tile_id = get_global_id(0); + int vec_id_in_tile = get_global_id(1); + + if (tile_id < total_tiles[0]) { + post_router[tile_id * tile_size + vec_id_in_tile] = 0xFFFFFFFF; + } +} diff --git a/ggml/src/ggml-rpc/ggml-rpc.cpp b/ggml/src/ggml-rpc/ggml-rpc.cpp index 505bec73d3..1cb8f563d8 100644 --- a/ggml/src/ggml-rpc/ggml-rpc.cpp +++ b/ggml/src/ggml-rpc/ggml-rpc.cpp @@ -207,35 +207,11 @@ struct ggml_backend_rpc_buffer_type_context { size_t max_size; }; -struct graph_cache { - - bool is_cached(const ggml_cgraph * cgraph) { - if ((int)last_graph.size() != cgraph->n_nodes) { - return false; - } - for (int i = 0; i < cgraph->n_nodes; i++) { - if (memcmp(&last_graph[i], cgraph->nodes[i], sizeof(ggml_tensor)) != 0) { - return false; - } - } - return true; - } - - void add(const ggml_cgraph * cgraph) { - last_graph.resize(cgraph->n_nodes); - for (int i = 0; i < cgraph->n_nodes; i++) { - memcpy(&last_graph[i], cgraph->nodes[i], sizeof(ggml_tensor)); - } - } - - std::vector last_graph; -}; - struct ggml_backend_rpc_context { std::string endpoint; uint32_t device; std::string name; - graph_cache gc; + uint64_t last_graph_uid; }; struct ggml_backend_rpc_buffer_context { @@ -717,7 +693,7 @@ static enum ggml_status ggml_backend_rpc_graph_compute(ggml_backend_t backend, g ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context; GGML_ASSERT(cgraph->n_nodes > 0); - bool reuse = rpc_ctx->gc.is_cached(cgraph); + bool reuse = cgraph->uid != 0 && rpc_ctx->last_graph_uid == cgraph->uid; if (reuse) { rpc_msg_graph_recompute_req request; request.device = rpc_ctx->device; @@ -725,7 +701,7 @@ static enum ggml_status ggml_backend_rpc_graph_compute(ggml_backend_t backend, g bool status = send_rpc_cmd(sock, RPC_CMD_GRAPH_RECOMPUTE, &request, sizeof(request)); RPC_STATUS_ASSERT(status); } else { - rpc_ctx->gc.add(cgraph); + rpc_ctx->last_graph_uid = cgraph->uid; std::vector input; serialize_graph(rpc_ctx->device, cgraph, input); auto sock = get_socket(rpc_ctx->endpoint); @@ -740,9 +716,9 @@ static ggml_backend_i ggml_backend_rpc_interface = { /* .free = */ ggml_backend_rpc_free, /* .set_tensor_async = */ NULL, /* .get_tensor_async = */ NULL, - /* .cpy_tensor_async = */ NULL, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, + /* .cpy_tensor_async = */ NULL, /* .synchronize = */ ggml_backend_rpc_synchronize, /* .graph_plan_create = */ NULL, /* .graph_plan_free = */ NULL, @@ -791,10 +767,10 @@ ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const char * endpoint, u ggml_backend_t ggml_backend_rpc_init(const char * endpoint, uint32_t device) { std::string dev_name = "RPC" + std::to_string(device) + "[" + std::string(endpoint) + "]"; ggml_backend_rpc_context * ctx = new ggml_backend_rpc_context { - /* .endpoint = */ endpoint, - /* .device = */ device, - /* .name = */ dev_name, - /* .gc = */ {}, + /* .endpoint = */ endpoint, + /* .device = */ device, + /* .name = */ dev_name, + /* .last_graph_uid = */ 0, }; auto reg = ggml_backend_rpc_add_server(endpoint); ggml_backend_t backend = new ggml_backend { diff --git a/ggml/src/ggml-sycl/CMakeLists.txt b/ggml/src/ggml-sycl/CMakeLists.txt index 8e589fa238..8f44c6ed08 100644 --- a/ggml/src/ggml-sycl/CMakeLists.txt +++ b/ggml/src/ggml-sycl/CMakeLists.txt @@ -135,7 +135,11 @@ endif() if (GGML_SYCL_TARGET STREQUAL "INTEL") add_compile_definitions(GGML_SYCL_WARP_SIZE=16) - target_link_options(ggml-sycl PRIVATE -Xs -ze-intel-greater-than-4GB-buffer-required) + if (NOT GGML_SYCL_DEVICE_ARCH) + target_link_options(ggml-sycl PRIVATE -Xs -ze-intel-greater-than-4GB-buffer-required) + else() + message(STATUS "Skipping -ze-intel-greater-than-4GB-buffer-required for spir64_gen AOT") + endif() # Link against Intel oneMKL if (CMAKE_CXX_COMPILER_ID STREQUAL "Clang") @@ -160,7 +164,15 @@ if (GGML_SYCL_HOST_MEM_FALLBACK) endif() if (GGML_SYCL_DEVICE_ARCH) - target_compile_options(ggml-sycl PRIVATE -Xsycl-target-backend --offload-arch=${GGML_SYCL_DEVICE_ARCH}) - target_link_options(ggml-sycl PRIVATE -Xsycl-target-backend --offload-arch=${GGML_SYCL_DEVICE_ARCH}) + message(STATUS "GGML_SYCL_DEVICE_ARCH=${GGML_SYCL_DEVICE_ARCH} (AOT via spir64_gen)") + target_compile_options( + ggml-sycl PRIVATE + -fsycl-targets=spir64_gen + "SHELL:-Xsycl-target-backend=spir64_gen \"-device ${GGML_SYCL_DEVICE_ARCH}\"" + ) + target_link_options( + ggml-sycl PRIVATE + -fsycl-targets=spir64_gen + "SHELL:-Xsycl-target-backend=spir64_gen \"-device ${GGML_SYCL_DEVICE_ARCH}\"" + ) endif() - diff --git a/ggml/src/ggml-sycl/common.hpp b/ggml/src/ggml-sycl/common.hpp index 5abf229065..eec36e8db9 100644 --- a/ggml/src/ggml-sycl/common.hpp +++ b/ggml/src/ggml-sycl/common.hpp @@ -25,6 +25,7 @@ #include "presets.hpp" #include "type.hpp" #include "sycl_hw.hpp" +#include "fattn-buffers.hpp" namespace syclexp = sycl::ext::oneapi::experimental; @@ -404,12 +405,16 @@ struct ggml_backend_sycl_context { std::unique_ptr pools[GGML_SYCL_MAX_DEVICES]; std::unordered_map>> scratchpad_map; + std::unique_ptr fattn_bufs[GGML_SYCL_MAX_DEVICES]; + std::unique_ptr host_pools[GGML_SYCL_MAX_DEVICES]; static std::unique_ptr new_pool_for_device(queue_ptr qptr, int device); static std::unique_ptr new_pool_for_host(queue_ptr qptr, int device); + static std::unique_ptr new_fattn_kv_buffers(queue_ptr qptr, int device); + ggml_sycl_pool & pool(int device) { if (pools[device] == nullptr) { pools[device] = new_pool_for_device(stream(device,0), device); @@ -421,6 +426,17 @@ struct ggml_backend_sycl_context { return pool(device); } + ggml_sycl_fattn_kv_buffers & fattn_buffers(int device) { + if (fattn_bufs[device] == nullptr) { + fattn_bufs[device] = new_fattn_kv_buffers(stream(device, 0), device); + } + return *fattn_bufs[device]; + } + + ggml_sycl_fattn_kv_buffers & fattn_buffers() { + return fattn_buffers(device); + } + #ifdef GGML_SYCL_GRAPH std::unique_ptr> exec_graph = nullptr; #endif diff --git a/ggml/src/ggml-sycl/convert.cpp b/ggml/src/ggml-sycl/convert.cpp index 67b9c06f3e..576f19d79a 100644 --- a/ggml/src/ggml-sycl/convert.cpp +++ b/ggml/src/ggml-sycl/convert.cpp @@ -252,6 +252,23 @@ static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int64_t k, #endif } +template +static void dequantize_row_q5_K_sycl_reorder(const void * vx, dst_t * y, const int64_t k, dpct::queue_ptr stream) { + const int64_t nb = k / QK_K; + + dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 }); + + stream->submit([&](sycl::handler & cgh) { + sycl::local_accessor scale_local_acc(sycl::range<1>(K_SCALE_SIZE), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * sycl::range<3>(1, 1, 64), sycl::range<3>(1, 1, 64)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q5_K_reorder(vx, y, get_pointer(scale_local_acc), item_ct1, nb); + }); + }); +} + template static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int64_t k, dpct::queue_ptr stream) { @@ -643,7 +660,11 @@ to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst) { return dequantize_row_q4_K_sycl; } case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_sycl; + if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) { + return dequantize_row_q5_K_sycl_reorder; + } else { + return dequantize_row_q5_K_sycl; + } case GGML_TYPE_Q6_K: if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) { return dequantize_row_q6_K_sycl_reorder; @@ -718,7 +739,11 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) { return dequantize_row_q4_K_sycl; } case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_sycl; + if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) { + return dequantize_row_q5_K_sycl_reorder; + } else { + return dequantize_row_q5_K_sycl; + } case GGML_TYPE_Q6_K: if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) { return dequantize_row_q6_K_sycl_reorder; diff --git a/ggml/src/ggml-sycl/cumsum.cpp b/ggml/src/ggml-sycl/cumsum.cpp new file mode 100644 index 0000000000..c1c5fe4fe4 --- /dev/null +++ b/ggml/src/ggml-sycl/cumsum.cpp @@ -0,0 +1,148 @@ +#include "cumsum.hpp" +#include "common.hpp" + +#include + +#define SYCL_CUMSUM_BLOCK_SIZE 256 + +static __dpct_inline__ float warp_prefix_inclusive_sum_f32(float x, const sycl::nd_item<3> & item) { + return sycl::inclusive_scan_over_group(item.get_sub_group(), x, sycl::plus()); +} + +static void cumsum_f32_kernel( + const float * __restrict__ src, float * __restrict__ dst, + const int64_t ne00, const int64_t ne01, const int64_t ne02, const int64_t ne03, + const int64_t s01, const int64_t s02, const int64_t s03, + const int64_t d1, const int64_t d2, const int64_t d3, + const sycl::nd_item<3> & item, float * smem) { + + const int tid = item.get_local_id(2); + const int block_size = item.get_local_range(2); + const int lane = tid % WARP_SIZE; + const int warp = tid / WARP_SIZE; + const int warps_per_block = block_size / WARP_SIZE; + + float * s_vals = smem; + float * s_warp_sums = smem + block_size; + float * s_carry = smem + block_size + warps_per_block; + + if (tid == 0) { + s_carry[0] = 0.0f; + } + item.barrier(sycl::access::fence_space::local_space); + + const int64_t i3 = item.get_group(0); + const int64_t i2 = item.get_group(1); + const int64_t i1 = item.get_group(2); + if (i3 >= ne03 || i2 >= ne02 || i1 >= ne01) { + return; + } + + const float * src_row = src + i1 * s01 + i2 * s02 + i3 * s03; + float * dst_row = dst + i1 * d1 + i2 * d2 + i3 * d3; + + constexpr int num_unroll = 4; + float temp[num_unroll]; + + for (int64_t i = 0; i < ne00; i += num_unroll * block_size) { + int64_t idx = i + tid * num_unroll; + + temp[0] = (idx < ne00 ? src_row[idx] : 0.0f); +#pragma unroll + for (int j = 1; j < num_unroll; j++) { + temp[j] = temp[j - 1]; + if (idx + j < ne00) { + temp[j] += src_row[idx + j]; + } + } + + float val = (idx < ne00) ? temp[num_unroll - 1] : 0.0f; + + val = warp_prefix_inclusive_sum_f32(val, item); + s_vals[tid] = val; + + if (lane == WARP_SIZE - 1) { + s_warp_sums[warp] = val; + } + item.barrier(sycl::access::fence_space::local_space); + + if (warp == 0) { + float w = (tid < warps_per_block) ? s_warp_sums[tid] : 0.0f; + float inc = warp_prefix_inclusive_sum_f32(w, item); + if (tid < warps_per_block) { + s_warp_sums[tid] = inc - w; + } + if (tid == warps_per_block - 1) { + s_carry[1] = inc; + } + } + item.barrier(sycl::access::fence_space::local_space); + + float carry = s_carry[0]; + float final_offset = s_vals[tid] + s_warp_sums[warp] + carry - temp[num_unroll - 1]; + +#pragma unroll + for (int j = 0; j < num_unroll; j++) { + if (idx + j < ne00) { + dst_row[idx + j] = temp[j] + final_offset; + } + } + + item.barrier(sycl::access::fence_space::local_space); + + if (tid == 0) { + s_carry[0] += s_carry[1]; + } + } +} + +inline void ggml_sycl_op_cumsum(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(dst->type == GGML_TYPE_F32); + + dpct::queue_ptr stream = ctx.stream(); + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + + const float * src_d = static_cast(src0->data); + float * dst_d = static_cast(dst->data); + + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const size_t ts = sizeof(float); + const int64_t s01 = src0->nb[1] / ts; + const int64_t s02 = src0->nb[2] / ts; + const int64_t s03 = src0->nb[3] / ts; + const int64_t d1 = dst->nb[1] / ts; + const int64_t d2 = dst->nb[2] / ts; + const int64_t d3 = dst->nb[3] / ts; + + const int num_warps = (ne00 + WARP_SIZE - 1) / WARP_SIZE; + int block_size = num_warps * WARP_SIZE; + block_size = std::min(block_size, SYCL_CUMSUM_BLOCK_SIZE); + const int warps_per_block = block_size / WARP_SIZE; + const int smem_size = block_size + warps_per_block + 2; + + const sycl::range<3> grid(ne03, ne02, ne01); + const sycl::range<3> block(1, 1, block_size); + + stream->submit([&](sycl::handler & cgh) { + sycl::local_accessor smem_acc(sycl::range<1>(smem_size), cgh); + cgh.parallel_for( + sycl::nd_range<3>(grid * block, block), + [=](sycl::nd_item<3> item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + cumsum_f32_kernel(src_d, dst_d, ne00, ne01, ne02, ne03, + s01, s02, s03, d1, d2, d3, + item, get_pointer(smem_acc)); + }); + }); +} + +void ggml_sycl_cumsum(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1); + ggml_sycl_op_cumsum(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/cumsum.hpp b/ggml/src/ggml-sycl/cumsum.hpp new file mode 100644 index 0000000000..f1a564472c --- /dev/null +++ b/ggml/src/ggml-sycl/cumsum.hpp @@ -0,0 +1,5 @@ +#pragma once + +#include "common.hpp" + +void ggml_sycl_cumsum(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/dequantize.hpp b/ggml/src/ggml-sycl/dequantize.hpp index 19fa88680d..2324bfacd2 100644 --- a/ggml/src/ggml-sycl/dequantize.hpp +++ b/ggml/src/ggml-sycl/dequantize.hpp @@ -537,6 +537,63 @@ static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restri #endif } +template +static void dequantize_block_q5_K_reorder(const void * __restrict__ vx, dst_t * __restrict__ yy, + uint8_t * scales_local, const sycl::nd_item<3> & item_ct1, int64_t n_blocks) { + const int64_t ib = item_ct1.get_group(2); + +#if QK_K == 256 + // assume 64 threads + const int64_t tid = item_ct1.get_local_id(2); + const int64_t il = tid / 16; // 0...3 + const int64_t ir = tid % 16; // 0...15 + const int64_t is = 2 * il; + + dst_t * y = yy + ib * QK_K + 64 * il + 2 * ir; + + const uint8_t * base = static_cast(vx); + + // Reordered layout: [qs (QK_K/2 per block)] [qh (QK_K/8 per block)] [scales (K_SCALE_SIZE per block)] [dm (half2 per block)] + const size_t qs_offset = ib * (QK_K / 2); + const size_t qh_offset = n_blocks * (QK_K / 2) + ib * (QK_K / 8); + const size_t scales_offset = n_blocks * (QK_K / 2) + n_blocks * (QK_K / 8) + ib * K_SCALE_SIZE; + const size_t dm_offset = n_blocks * (QK_K / 2) + n_blocks * (QK_K / 8) + n_blocks * K_SCALE_SIZE + ib * sizeof(ggml_half2); + + const uint8_t * qs_ptr = base + qs_offset; + const uint8_t * qh_ptr = base + qh_offset; + const uint8_t * scales_ptr = base + scales_offset; + const ggml_half2 dm_values = *reinterpret_cast(base + dm_offset); + + const float dall = dm_values.x(); + const float dmin = dm_values.y(); + + const uint8_t * ql = qs_ptr + 32 * il + 2 * ir; + const uint8_t * qh = qh_ptr + 2 * ir; + + if (tid < K_SCALE_SIZE) { + scales_local[tid] = scales_ptr[tid]; + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + + uint8_t sc, m; + get_scale_min_k4(is + 0, scales_local, sc, m); + const float d1 = dall * sc; const float m1 = dmin * m; + get_scale_min_k4(is + 1, scales_local, sc, m); + const float d2 = dall * sc; const float m2 = dmin * m; + + uint8_t hm = 1 << (2 * il); + y[ 0] = d1 * ((ql[ 0] & 0xF) + (qh[ 0] & hm ? 16 : 0)) - m1; + y[ 1] = d1 * ((ql[ 1] & 0xF) + (qh[ 1] & hm ? 16 : 0)) - m1; + hm <<= 1; + y[32] = d2 * ((ql[ 0] >> 4) + (qh[ 0] & hm ? 16 : 0)) - m2; + y[33] = d2 * ((ql[ 1] >> 4) + (qh[ 1] & hm ? 16 : 0)) - m2; +#else + GGML_UNUSED(ib); GGML_UNUSED(tid); GGML_UNUSED(yy); GGML_UNUSED(scales_local); GGML_UNUSED(n_blocks); + GGML_ABORT("Q5_K reorder dequantize not supported for QK_K != 256"); +#endif +} + template static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restrict__ yy, const sycl::nd_item<3> &item_ct1) { diff --git a/ggml/src/ggml-sycl/diag.cpp b/ggml/src/ggml-sycl/diag.cpp new file mode 100644 index 0000000000..c4264fee34 --- /dev/null +++ b/ggml/src/ggml-sycl/diag.cpp @@ -0,0 +1,67 @@ +#include "diag.hpp" +#include "common.hpp" + +#define SYCL_DIAG_BLOCK_SIZE 256 + +template +static void diag_kernel(T * __restrict__ dst, const T * __restrict__ src, + const int64_t ne0, const int64_t ne1, + const int64_t ne2, const int64_t ne3, + const int64_t total_elements, + const sycl::nd_item<1> & item) { + const int64_t i = item.get_global_id(0); + if (i >= total_elements) { + return; + } + + const int64_t i0 = i % ne0; + const int64_t i1 = (i / ne0) % ne1; + const int64_t i2 = (i / (ne0 * ne1)) % ne2; + const int64_t i3 = i / (ne0 * ne1 * ne2); + + const int64_t dst_idx = ((i3 * ne2 + i2) * ne1 + i1) * ne0 + i0; + + if (i0 == i1) { + const int64_t batch_idx = i3 * ne2 + i2; + dst[dst_idx] = src[batch_idx * ne0 + i0]; + } else { + dst[dst_idx] = T(0); + } + + (void)ne3; +} + +inline void ggml_sycl_op_diag(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + + GGML_ASSERT(ggml_is_contiguous(dst)); + GGML_ASSERT(ggml_is_contiguous(src0)); + GGML_ASSERT(src0->ne[1] == 1); + + dpct::queue_ptr stream = ctx.stream(); + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + + const void * src0_d = src0->data; + void * dst_d = dst->data; + + const int64_t ne0 = dst->ne[0]; + const int64_t ne1 = dst->ne[1]; + const int64_t ne2 = dst->ne[2]; + const int64_t ne3 = dst->ne[3]; + const int64_t n_elems = ggml_nelements(dst); + const int64_t num_blocks = (n_elems + SYCL_DIAG_BLOCK_SIZE - 1) / SYCL_DIAG_BLOCK_SIZE; + + GGML_ASSERT(dst->type == GGML_TYPE_F32); + stream->parallel_for( + sycl::nd_range<1>(num_blocks * SYCL_DIAG_BLOCK_SIZE, SYCL_DIAG_BLOCK_SIZE), + [=](sycl::nd_item<1> item) { + diag_kernel(static_cast(dst_d), + static_cast(src0_d), + ne0, ne1, ne2, ne3, n_elems, item); + }); +} + +void ggml_sycl_diag(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1); + ggml_sycl_op_diag(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/diag.hpp b/ggml/src/ggml-sycl/diag.hpp new file mode 100644 index 0000000000..20d7ce4895 --- /dev/null +++ b/ggml/src/ggml-sycl/diag.hpp @@ -0,0 +1,5 @@ +#pragma once + +#include "common.hpp" + +void ggml_sycl_diag(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/fattn-buffers.cpp b/ggml/src/ggml-sycl/fattn-buffers.cpp new file mode 100644 index 0000000000..46cf6d551f --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-buffers.cpp @@ -0,0 +1,56 @@ +// +// MIT license +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#include "common.hpp" + +sycl::half * ggml_sycl_fattn_kv_buffers::kv_buffer::ensure_half(size_t n_elems) { + const size_t need_bytes = n_elems * sizeof(sycl::half); + + if (capacity >= need_bytes) { + return ptr; + } + + if (ptr) { + SYCL_CHECK(CHECK_TRY_ERROR(qptr->wait())); + SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *qptr))); + ptr = nullptr; + capacity = 0; + } + + size_t cap = 0; + while (cap < need_bytes) { + cap += CHUNK_SIZE; + } + + void * dev_ptr; + SYCL_CHECK( + CHECK_TRY_ERROR(dev_ptr = sycl::malloc_device( + cap, *qptr))); + + if (!dev_ptr) { + GGML_LOG_ERROR("%s: can't allocate %lu Bytes of memory on device\n", __func__, cap); + GGML_ABORT("fattn buffer alloc failed"); + } + + ptr = static_cast(dev_ptr); + capacity = cap; + return ptr; +} + +ggml_sycl_fattn_kv_buffers::kv_buffer::~kv_buffer() { +#ifdef DEBUG_SYCL_POOL + GGML_LOG_INFO("ggml_sycl_fattn_kv_buffer[%d]: %.2f MiB\n", device, capacity / 1024.0 / 1024.0); +#endif + if (ptr) { + SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *qptr))); + } +} diff --git a/ggml/src/ggml-sycl/fattn-buffers.hpp b/ggml/src/ggml-sycl/fattn-buffers.hpp new file mode 100644 index 0000000000..c00461de62 --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-buffers.hpp @@ -0,0 +1,63 @@ +// +// MIT license +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_FATTN_BUFFERS_HPP +#define GGML_SYCL_FATTN_BUFFERS_HPP + +#include + +typedef sycl::queue *queue_ptr; + +struct ggml_sycl_fattn_kv_buffers { + // buffers grow in chunks of this size + static constexpr size_t CHUNK_SIZE = 16ull << 20; // 16 MiB + + struct kv_buffer { + kv_buffer(queue_ptr qptr_, int device_) : qptr(qptr_), device(device_) {} + ~kv_buffer(); + + kv_buffer(const kv_buffer &) = delete; + kv_buffer & operator=(const kv_buffer &) = delete; + + sycl::half * ensure_half(size_t n_elems); + + private: + sycl::half * ptr = nullptr; + size_t capacity = 0; + queue_ptr qptr = nullptr; + [[maybe_unused]] int device = 0; + }; + + kv_buffer K; + kv_buffer V; + + ggml_sycl_fattn_kv_buffers(queue_ptr qptr, int device) : K(qptr, device), V(qptr, device) {} + + ggml_sycl_fattn_kv_buffers(const ggml_sycl_fattn_kv_buffers &) = delete; + ggml_sycl_fattn_kv_buffers & operator=(const ggml_sycl_fattn_kv_buffers &) = delete; +}; + +/** + * Imitates `ggml_sycl_pool_alloc` to keep the code calling alloc unchanged. + */ +struct ggml_sycl_fattn_alloc { + ggml_sycl_fattn_kv_buffers::kv_buffer & buf; + sycl::half * ptr = nullptr; + + explicit ggml_sycl_fattn_alloc(ggml_sycl_fattn_kv_buffers::kv_buffer & buf_) : buf(buf_) {} + + sycl::half * alloc(size_t n_elems) { + ptr = buf.ensure_half(n_elems); + return ptr; + } +}; +#endif diff --git a/ggml/src/ggml-sycl/fattn-common.hpp b/ggml/src/ggml-sycl/fattn-common.hpp index ed00d03c3b..03f0c2623c 100644 --- a/ggml/src/ggml-sycl/fattn-common.hpp +++ b/ggml/src/ggml-sycl/fattn-common.hpp @@ -5,6 +5,7 @@ #include "common.hpp" #include "convert.hpp" #include "vecdotq.hpp" +#include "fattn-buffers.hpp" #include "ggml.h" @@ -918,12 +919,13 @@ void launch_fattn( GGML_ASSERT(!mask || mask->type == GGML_TYPE_F16); ggml_sycl_pool & pool = ctx.pool(); + ggml_sycl_fattn_kv_buffers & fbuf = ctx.fattn_buffers(); dpct::queue_ptr main_stream = ctx.stream(); const int id = ggml_sycl_get_device(); const int nsm = ggml_sycl_info().devices[id].nsm; - ggml_sycl_pool_alloc K_f16(pool); - ggml_sycl_pool_alloc V_f16(pool); + ggml_sycl_fattn_alloc K_f16(fbuf.K); + ggml_sycl_fattn_alloc V_f16(fbuf.V); ggml_sycl_pool_alloc KV_max(pool); ggml_sycl_pool_alloc dst_tmp(pool); ggml_sycl_pool_alloc dst_tmp_meta(pool); diff --git a/ggml/src/ggml-sycl/fill.cpp b/ggml/src/ggml-sycl/fill.cpp new file mode 100644 index 0000000000..28e618e4ef --- /dev/null +++ b/ggml/src/ggml-sycl/fill.cpp @@ -0,0 +1,55 @@ +#include "fill.hpp" +#include "common.hpp" + +#define SYCL_FILL_BLOCK_SIZE 256 + +template +static void fill_kernel(T * dst, const int64_t k, const T value, + const sycl::nd_item<1> & item) { + const int64_t i = (int64_t)item.get_global_id(0); + if (i >= k) { + return; + } + dst[i] = value; +} + +inline void ggml_sycl_op_fill(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + GGML_ASSERT(ggml_is_contiguous(dst)); + + dpct::queue_ptr stream = ctx.stream(); + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + + float value; + memcpy(&value, dst->op_params, sizeof(float)); + + const int64_t k = ggml_nelements(dst); + const int64_t num_blocks = (k + SYCL_FILL_BLOCK_SIZE - 1) / SYCL_FILL_BLOCK_SIZE; + void * dst_d = dst->data; + + switch (dst->type) { + case GGML_TYPE_F32: + stream->parallel_for( + sycl::nd_range<1>(num_blocks * SYCL_FILL_BLOCK_SIZE, SYCL_FILL_BLOCK_SIZE), + [=](sycl::nd_item<1> item) { + fill_kernel(static_cast(dst_d), k, value, item); + }); + break; + case GGML_TYPE_F16: + { + sycl::half h_value = sycl::half(value); + stream->parallel_for( + sycl::nd_range<1>(num_blocks * SYCL_FILL_BLOCK_SIZE, SYCL_FILL_BLOCK_SIZE), + [=](sycl::nd_item<1> item) { + fill_kernel(static_cast(dst_d), k, h_value, item); + }); + } + break; + default: + GGML_ABORT("unsupported type"); + } +} + +void ggml_sycl_fill(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/0); + ggml_sycl_op_fill(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/fill.hpp b/ggml/src/ggml-sycl/fill.hpp new file mode 100644 index 0000000000..b2adb94ff5 --- /dev/null +++ b/ggml/src/ggml-sycl/fill.hpp @@ -0,0 +1,5 @@ +#pragma once + +#include "common.hpp" + +void ggml_sycl_fill(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/gated_delta_net.hpp b/ggml/src/ggml-sycl/gated_delta_net.hpp index a3308ee876..350b4ce2f6 100644 --- a/ggml/src/ggml-sycl/gated_delta_net.hpp +++ b/ggml/src/ggml-sycl/gated_delta_net.hpp @@ -5,4 +5,5 @@ #include "common.hpp" #include "ggml.h" +void ggml_sycl_op_gated_delta_net(ggml_backend_sycl_context & ctx, ggml_tensor * dst); void ggml_sycl_gated_delta_net(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/getrows.cpp b/ggml/src/ggml-sycl/getrows.cpp index 03f8dd9074..ca45745477 100644 --- a/ggml/src/ggml-sycl/getrows.cpp +++ b/ggml/src/ggml-sycl/getrows.cpp @@ -183,6 +183,10 @@ void ggml_sycl_op_get_rows(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { get_rows_sycl_float(ctx, dst->src[0], dst->src[1], dst, (const sycl::half *)dst->src[0]->data, src1_i32, (float *)dst->data, ctx.stream()); break; + case GGML_TYPE_BF16: + get_rows_sycl_float(ctx, dst->src[0], dst->src[1], dst, (const sycl::ext::oneapi::bfloat16 *)dst->src[0]->data, + src1_i32, (float *)dst->data, ctx.stream()); + break; case GGML_TYPE_F32: get_rows_sycl_float(ctx, dst->src[0], dst->src[1], dst, (const float *)dst->src[0]->data, src1_i32, (float *)dst->data, ctx.stream()); diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp index 1eead625e7..57cc4ffb6f 100644 --- a/ggml/src/ggml-sycl/ggml-sycl.cpp +++ b/ggml/src/ggml-sycl/ggml-sycl.cpp @@ -54,7 +54,12 @@ #include "ggml-sycl/set.hpp" #include "ggml-sycl/ssm_conv.hpp" #include "ggml-sycl/sycl_hw.hpp" - +#include "ggml-sycl/ssm_scan.hpp" +#include "ggml-sycl/fill.hpp" +#include "ggml-sycl/cumsum.hpp" +#include "ggml-sycl/diag.hpp" +#include "ggml-sycl/solve_tri.hpp" +#include "ggml-sycl/gated_delta_net.hpp" static bool g_sycl_loaded = false; int g_ggml_sycl_debug = 0; @@ -1281,6 +1286,23 @@ struct ggml_sycl_pool_leg : public ggml_sycl_pool { explicit ggml_sycl_pool_leg(queue_ptr qptr_, int device_) : device(device_), qptr(qptr_) {} ~ggml_sycl_pool_leg() { +#ifdef DEBUG_SYCL_POOL + int n_cached = 0; + size_t bytes_cached = 0; + for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { + if (buffer_pool[i].ptr != nullptr) { + ++n_cached; + bytes_cached += buffer_pool[i].size; + } + } + GGML_LOG_INFO("%s: %d buffers, cached = %.2f MiB\n", __func__, + n_cached, bytes_cached / 1024.0 / 1024.0); + const auto slots = format_slots_in_alloc_order(); + if (!slots.empty()) { + GGML_LOG_INFO("%s: slots MiB: %s\n", __func__, slots.c_str()); + } +#endif + for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { ggml_sycl_buffer & b = buffer_pool[i]; if (b.ptr != nullptr) { @@ -1291,6 +1313,26 @@ struct ggml_sycl_pool_leg : public ggml_sycl_pool { GGML_ASSERT(pool_size == 0); } +#ifdef DEBUG_SYCL_POOL + std::string format_slots_in_alloc_order() const { + std::string line; + char buf[32]; + bool first = true; + for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { + if (buffer_pool[i].ptr == nullptr) { + continue; + } + if (!first) { + line += '/'; + } + first = false; + snprintf(buf, sizeof(buf), "%.2f", buffer_pool[i].size / 1024.0 / 1024.0); + line += buf; + } + return line; + } +#endif + void * alloc(size_t size, size_t * actual_size) override { #ifdef DEBUG_sycl_MALLOC int nnz = 0; @@ -1454,6 +1496,10 @@ std::unique_ptr ggml_backend_sycl_context::new_pool_for_device(q return std::unique_ptr(new ggml_sycl_pool_leg(qptr, device)); } +std::unique_ptr ggml_backend_sycl_context::new_fattn_kv_buffers(queue_ptr qptr, int device) { + return std::unique_ptr(new ggml_sycl_fattn_kv_buffers(qptr, device)); +} + // TBD pool with virtual memory management // struct ggml_sycl_pool_vmm : public ggml_sycl_pool @@ -3298,6 +3344,7 @@ inline bool ggml_sycl_supports_reorder_mul_mat_sycl(enum ggml_type type) { case GGML_TYPE_Q8_0: return true; case GGML_TYPE_Q4_K: + case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: return !g_ggml_sycl_prioritize_dmmv; default: @@ -3320,6 +3367,7 @@ inline bool ggml_sycl_supports_reorder_mmvq(enum ggml_type type) { case GGML_TYPE_Q4_0: case GGML_TYPE_Q8_0: case GGML_TYPE_Q4_K: + case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: return true; default: @@ -3536,6 +3584,54 @@ static bool reorder_qw_q4_k(uint8_t * data_device, size_t size, size_t offset, d return true; } +static bool reorder_qw_q5_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) { + GGML_ASSERT(size % sizeof(block_q5_K) == 0); + GGML_ASSERT(offset % sizeof(block_q5_K) == 0); + + const int nblocks = size / sizeof(block_q5_K); + + sycl_reorder_temp_buffer tmp(stream, size); + if (!tmp) { + GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size); + return false; + } + uint8_t * tmp_buf = static_cast(tmp.ptr); + + sycl::event copy_event; + SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size))); + if (!g_ggml_sycl_use_async_mem_op) { + copy_event.wait(); + } + + auto * qs_ptr = data_device; + auto * qh_ptr = qs_ptr + (QK_K / 2) * nblocks; + auto * scales_ptr = qh_ptr + (QK_K / 8) * nblocks; + auto * dm_ptr = (sycl::half2 *) (scales_ptr + K_SCALE_SIZE * nblocks); + + auto reorder_event = stream->parallel_for(nblocks, [=](auto i) { + const block_q5_K * x = (const block_q5_K *) tmp_buf; + const int ib = i; + + for (int j = 0; j < QK_K / 2; ++j) { + qs_ptr[ib * (QK_K / 2) + j] = x[ib].qs[j]; + } + + for (int j = 0; j < QK_K / 8; ++j) { + qh_ptr[ib * (QK_K / 8) + j] = x[ib].qh[j]; + } + + for (int j = 0; j < K_SCALE_SIZE; ++j) { + scales_ptr[ib * K_SCALE_SIZE + j] = x[ib].scales[j]; + } + + dm_ptr[ib] = x[ib].dm; + }); + if (!g_ggml_sycl_use_async_mem_op) { + reorder_event.wait_and_throw(); + } + return true; +} + static bool reorder_qw_q6_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) { GGML_ASSERT(size % sizeof(block_q6_K) == 0); GGML_ASSERT(offset % sizeof(block_q6_K) == 0); @@ -3602,6 +3698,8 @@ static bool reorder_qw(const ggml_tensor * src0, dpct::queue_ptr stream) { return reorder_qw_q8_0(data_device, ncols, nrows, size, 0, stream); case GGML_TYPE_Q4_K: return reorder_qw_q4_k(data_device, size, 0, stream); + case GGML_TYPE_Q5_K: + return reorder_qw_q5_k(data_device, size, 0, stream); case GGML_TYPE_Q6_K: return reorder_qw_q6_k(data_device, size, 0, stream); default: @@ -4061,6 +4159,11 @@ static void ggml_sycl_im2col(ggml_backend_sycl_context & ctx, ggml_tensor * dst) ggml_sycl_op_im2col(ctx, dst); } +static void ggml_sycl_im2col_3d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/2); + ggml_sycl_op_im2col_3d(ctx, dst); +} + static void ggml_sycl_sum(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1); GGML_ASSERT(ggml_is_contiguous(dst->src[0])); @@ -4358,6 +4461,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg case GGML_OP_IM2COL: ggml_sycl_im2col(ctx, dst); break; + case GGML_OP_IM2COL_3D: + ggml_sycl_im2col_3d(ctx, dst); + break; case GGML_OP_POOL_2D: ggml_sycl_pool2d(ctx, dst); break; @@ -4394,6 +4500,21 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg case GGML_OP_SSM_CONV: ggml_sycl_ssm_conv(ctx, dst); break; + case GGML_OP_SSM_SCAN: + ggml_sycl_ssm_scan(ctx, dst); + break; + case GGML_OP_FILL: + ggml_sycl_fill(ctx, dst); + break; + case GGML_OP_CUMSUM: + ggml_sycl_cumsum(ctx, dst); + break; + case GGML_OP_DIAG: + ggml_sycl_diag(ctx, dst); + break; + case GGML_OP_SOLVE_TRI: + ggml_sycl_solve_tri(ctx, dst); + break; case GGML_OP_ROLL: ggml_sycl_roll(ctx, dst); break; @@ -4700,8 +4821,8 @@ static ggml_backend_i ggml_backend_sycl_interface = { /* .free = */ ggml_backend_sycl_free, /* .set_tensor_async = */ ggml_backend_sycl_set_tensor_async, /* .get_tensor_async = */ ggml_backend_sycl_get_tensor_async, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, // ggml_backend_sycl_cpy_tensor_async, // // TODO: update for the new // interface @@ -4902,6 +5023,7 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g { switch (op->src[0]->type) { case GGML_TYPE_F16: + case GGML_TYPE_BF16: case GGML_TYPE_F32: case GGML_TYPE_Q4_0: case GGML_TYPE_Q4_1: @@ -5061,6 +5183,7 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_ROPE: case GGML_OP_ROPE_BACK: case GGML_OP_IM2COL: + case GGML_OP_IM2COL_3D: case GGML_OP_UPSCALE: return true; case GGML_OP_SUM: @@ -5084,11 +5207,10 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_ACC: return ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]); case GGML_OP_PAD: - // TODO: add circular padding support for syscl, see https://github.com/ggml-org/llama.cpp/pull/16985 if (ggml_get_op_params_i32(op, 8) != 0) { return false; } - return ggml_is_contiguous(op->src[0]); + return true; case GGML_OP_LEAKY_RELU: case GGML_OP_TIMESTEP_EMBEDDING: case GGML_OP_RWKV_WKV6: @@ -5104,6 +5226,21 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g return op->type == GGML_TYPE_F32; case GGML_OP_ARANGE: return op->type == GGML_TYPE_F32; + case GGML_OP_SSM_SCAN: + if (op->src[3]->ne[0] == 1) { + // Mamba2 + // (kernel only supports (d_state == 128 || d_state == 256) && d_head % WARP_SIZE == 0) + return (op->src[0]->ne[0] == 128 || op->src[0]->ne[0] == 256) && op->src[0]->ne[1] % WARP_SIZE == 0; + } else { + // TODO Mamba-1 not yet ported to SYCL + return false; + } + case GGML_OP_FILL: + case GGML_OP_CUMSUM: + case GGML_OP_DIAG: + return true; + case GGML_OP_SOLVE_TRI: + return op->src[0]->ne[0] <= SYCL_SOLVE_TRI_MAX_N && op->src[1]->ne[0] <= SYCL_SOLVE_TRI_MAX_K; case GGML_OP_FLASH_ATTN_EXT: return ggml_sycl_flash_attn_ext_supported(device, op); default: diff --git a/ggml/src/ggml-sycl/im2col.cpp b/ggml/src/ggml-sycl/im2col.cpp index 6d75d34d83..7bf3584fb9 100644 --- a/ggml/src/ggml-sycl/im2col.cpp +++ b/ggml/src/ggml-sycl/im2col.cpp @@ -1,6 +1,6 @@ // // MIT license -// Copyright (C) 2024 Intel Corporation +// Copyright (C) 2026 Intel Corporation // SPDX-License-Identifier: MIT // @@ -12,125 +12,389 @@ #include "im2col.hpp" -#include -#include // For std::is_same_v - -#include "ggml.h" +#define MAX_GRIDDIM_Z 65535 template -static void im2col_kernel(const float * x, T * dst, int64_t batch_offset, int64_t offset_delta, int64_t IC, int64_t IW, - int64_t IH, int64_t OH, int64_t OW, int64_t KW, int64_t KH, int64_t pelements, int64_t CHW, - int s0, int s1, int p0, int p1, int d0, int d1, const sycl::nd_item<3> & item_ct1) { - const int64_t work_group_size = item_ct1.get_local_range(2); - const int64_t global_id = item_ct1.get_local_id(2) + (work_group_size * item_ct1.get_group(2)); +static void im2col_kernel( + const float * x, T * dst, + int64_t IC, int64_t IW, int64_t IH, int64_t OH, int64_t OW, int64_t KW, int64_t KH, + int64_t IC_IH_IW, int64_t IH_IW, int64_t N_OH, int64_t KH_KW, int64_t IC_KH_KW, + int s0, int s1, int p0, int p1, int d0, int d1) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int64_t i = item_ct1.get_local_id(2) + item_ct1.get_group(2) * item_ct1.get_local_range(2); + if (i >= IC_KH_KW) { + return; + } - // make each work-item deal with more elements since sycl global range can not exceed max int - for (int64_t i = global_id; i < pelements; i += (work_group_size * item_ct1.get_group_range(2))) { - const int64_t ksize = OW * KH; - const int64_t kx = i / ksize; - const int64_t kd = kx * ksize; - const int64_t ky = (i - kd) / OW; - const int64_t ix = i % OW; + const int64_t iic = i / (KH_KW); + const int64_t rem = i - iic * KH_KW; + const int64_t ikh = rem / KW; + const int64_t ikw = rem - ikh * KW; - const int64_t oh = item_ct1.get_group(1); - const int64_t batch = item_ct1.get_group(0) / IC; - const int64_t ic = item_ct1.get_group(0) % IC; + const int64_t iow = item_ct1.get_group(1); + for (int64_t iz = item_ct1.get_group(0); iz < N_OH; iz += MAX_GRIDDIM_Z) { + const int64_t in = iz / OH; + const int64_t ioh = iz - in * OH; - const int64_t iiw = (ix * s0) + (kx * d0) - p0; - const int64_t iih = (oh * s1) + (ky * d1) - p1; + const int64_t iiw = iow * s0 + ikw * d0 - p0; + const int64_t iih = ioh * s1 + ikh * d1 - p1; - const int64_t offset_dst = (((batch * OH + oh) * OW + ix) * CHW) + (ic * (KW * KH) + ky * KW + kx); + const int64_t offset_dst = + ((in * OH + ioh) * OW + iow) * IC_KH_KW + iic * KH_KW + ikh * KW + ikw; - const int64_t offset_src_base = (ic * offset_delta) + (batch * batch_offset); - const int64_t offset_src = offset_src_base + (iih * IW) + iiw; - - const bool out_of_bounds = (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW); - const float src_val = out_of_bounds ? 0.0f : x[offset_src]; - - if constexpr (std::is_same_v) { - dst[offset_dst] = sycl::half(src_val); - } else if constexpr (std::is_same_v) { - dst[offset_dst] = src_val; + if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { + dst[offset_dst] = 0.0f; + } else { + const int64_t offset_src = iic * IC_IH_IW + in * IH_IW; + dst[offset_dst] = x[offset_src + iih * IW + iiw]; } } + + GGML_UNUSED(IC); + GGML_UNUSED(KH); } +// im2col: [N, IC, IH, IW] => [N, OH, OW, IC*KH*KW] template -static void im2col_sycl_internal(const float * x, T * dst, int64_t IW, int64_t IH, int64_t OW, int64_t OH, int64_t KW, - int64_t KH, int64_t IC, int64_t batch, int64_t batch_offset, int64_t offset_delta, - int s0, int s1, int p0, int p1, int d0, int d1, queue_ptr stream) { - const int64_t parallel_elements = OW * KW * KH; - const int64_t num_blocks = (parallel_elements + SYCL_IM2COL_BLOCK_SIZE - 1) / SYCL_IM2COL_BLOCK_SIZE; - - // decrease global range when it exceeds the max int - int64_t local_size = downsample_sycl_global_range(batch * IC * OH * num_blocks, SYCL_IM2COL_BLOCK_SIZE); - - sycl::range<3> block_nums(batch * IC, OH, num_blocks); - sycl::range<3> local_range(1, 1, local_size); - - const int64_t CHW = IC * KH * KW; - - stream->parallel_for(sycl::nd_range<3>(block_nums * local_range, local_range), [=](sycl::nd_item<3> item_ct1) { - im2col_kernel(x, dst, batch_offset, offset_delta, IC, IW, IH, OH, OW, KW, KH, parallel_elements, CHW, s0, s1, - p0, p1, d0, d1, item_ct1); - }); +static void im2col_sycl(const float * x, + T * dst, + int64_t IW, + int64_t IH, + int64_t OW, + int64_t OH, + int64_t KW, + int64_t KH, + int64_t IC, + int64_t N, + int64_t IC_IH_IW, + int64_t IH_IW, + int s0, + int s1, + int p0, + int p1, + int d0, + int d1, + dpct::queue_ptr stream) { + const int64_t IC_KH_KW = IC * KH * KW; + const int64_t num_blocks = (IC_KH_KW + SYCL_IM2COL_BLOCK_SIZE - 1) / SYCL_IM2COL_BLOCK_SIZE; + const int64_t N_OH = N * OH; + const int64_t KH_KW = KW*KH; + dpct::dim3 block_nums(num_blocks, OW, MIN(N_OH, MAX_GRIDDIM_Z)); + /* + DPCT1049:73: The work-group size passed to the SYCL kernel may exceed the limit. To get the device limit, query info::device::max_work_group_size. Adjust the work-group size if needed. + */ + stream->parallel_for(sycl::nd_range<3>(block_nums * sycl::range<3>(1, 1, MIN(IC_KH_KW, SYCL_IM2COL_BLOCK_SIZE)), + sycl::range<3>(1, 1, MIN(IC_KH_KW, SYCL_IM2COL_BLOCK_SIZE))), + [=](sycl::nd_item<3> item_ct1) { + im2col_kernel(x, dst, IC, IW, IH, OH, OW, KW, KH, IC_IH_IW, IH_IW, N_OH, KH_KW, IC_KH_KW, + s0, s1, p0, p1, d0, d1); + }); } -static void im2col_sycl_f16(const float * x, sycl::half * dst, int64_t IW, int64_t IH, int64_t OW, int64_t OH, - int64_t KW, int64_t KH, int64_t IC, int64_t batch, int64_t batch_offset, - int64_t offset_delta, int s0, int s1, int p0, int p1, int d0, int d1, queue_ptr stream) { - if (!stream->get_device().has(sycl::aspect::fp16)) { - throw sycl::exception(sycl::make_error_code(sycl::errc::kernel_not_supported), - "Device does not support half precision (fp16) operations!"); - } - im2col_sycl_internal(x, dst, IW, IH, OW, OH, KW, KH, IC, batch, batch_offset, offset_delta, s0, s1, p0, - p1, d0, d1, stream); +static void im2col_sycl_f16(const float * x, + sycl::half * dst, + int64_t IW, + int64_t IH, + int64_t OW, + int64_t OH, + int64_t KW, + int64_t KH, + int64_t IC, + int64_t N, + int64_t IC_IH_IW, + int64_t IH_IW, + int s0, + int s1, + int p0, + int p1, + int d0, + int d1, + dpct::queue_ptr stream) { + im2col_sycl(x, dst, IW, IH, OW, OH, KW, KH, IC, N, IC_IH_IW, IH_IW, s0, s1, p0, p1, d0, d1, stream); } -static void im2col_sycl_f32(const float * x, float * dst, int64_t IW, int64_t IH, int64_t OW, int64_t OH, int64_t KW, - int64_t KH, int64_t IC, int64_t batch, int64_t batch_offset, int64_t offset_delta, int s0, - int s1, int p0, int p1, int d0, int d1, queue_ptr stream) { - im2col_sycl_internal(x, dst, IW, IH, OW, OH, KW, KH, IC, batch, batch_offset, offset_delta, s0, s1, p0, p1, - d0, d1, stream); +static void im2col_sycl_f32(const float * x, + float * dst, + int64_t IW, + int64_t IH, + int64_t OW, + int64_t OH, + int64_t KW, + int64_t KH, + int64_t IC, + int64_t N, + int64_t IC_IH_IW, + int64_t IH_IW, + int s0, + int s1, + int p0, + int p1, + int d0, + int d1, + dpct::queue_ptr stream) { + im2col_sycl(x, dst, IW, IH, OW, OH, KW, KH, IC, N, IC_IH_IW, IH_IW, s0, s1, p0, p1, d0, d1, stream); } void ggml_sycl_op_im2col(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { const ggml_tensor * src0 = dst->src[0]; const ggml_tensor * src1 = dst->src[1]; + const float * src1_d = (const float *)src1->data; + float * dst_d = (float *)dst->data; + dpct::queue_ptr stream = ctx.stream(); GGML_ASSERT(src1->type == GGML_TYPE_F32); - GGML_ASSERT(dst->type == GGML_TYPE_F16 || dst->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F16 || dst->type == GGML_TYPE_F32); - const int32_t s0 = ((const int32_t *) (dst->op_params))[0]; - const int32_t s1 = ((const int32_t *) (dst->op_params))[1]; - const int32_t p0 = ((const int32_t *) (dst->op_params))[2]; - const int32_t p1 = ((const int32_t *) (dst->op_params))[3]; - const int32_t d0 = ((const int32_t *) (dst->op_params))[4]; - const int32_t d1 = ((const int32_t *) (dst->op_params))[5]; + const int32_t s0 = ((const int32_t*)(dst->op_params))[0]; + const int32_t s1 = ((const int32_t*)(dst->op_params))[1]; + const int32_t p0 = ((const int32_t*)(dst->op_params))[2]; + const int32_t p1 = ((const int32_t*)(dst->op_params))[3]; + const int32_t d0 = ((const int32_t*)(dst->op_params))[4]; + const int32_t d1 = ((const int32_t*)(dst->op_params))[5]; - const bool is_2D = ((const int32_t *) (dst->op_params))[6] == 1; + const bool is_2D = ((const int32_t*)(dst->op_params))[6] == 1; const int64_t IC = src1->ne[is_2D ? 2 : 1]; const int64_t IH = is_2D ? src1->ne[1] : 1; - const int64_t IW = src1->ne[0]; + const int64_t IW = src1->ne[0]; const int64_t KH = is_2D ? src0->ne[1] : 1; - const int64_t KW = src0->ne[0]; + const int64_t KW = src0->ne[0]; const int64_t OH = is_2D ? dst->ne[2] : 1; - const int64_t OW = dst->ne[1]; + const int64_t OW = dst->ne[1]; - const size_t delta_offset = src1->nb[is_2D ? 2 : 1] / sizeof(float); - const int64_t batch = src1->ne[is_2D ? 3 : 2]; - const size_t batch_offset = src1->nb[is_2D ? 3 : 2] / sizeof(float); + const int64_t IC_IH_IW = src1->nb[is_2D ? 2 : 1] / 4; // nb is byte offset, src is type float32 + const int64_t N = src1->ne[is_2D ? 3 : 2]; + const int64_t IH_IW = src1->nb[is_2D ? 3 : 2] / 4; // nb is byte offset, src is type float32 - queue_ptr stream = ctx.stream(); - - if (dst->type == GGML_TYPE_F16) { - im2col_sycl_f16((const float *) src1->data, (sycl::half *) dst->data, IW, IH, OW, OH, KW, KH, IC, batch, - batch_offset, delta_offset, s0, s1, p0, p1, d0, d1, stream); + if(dst->type == GGML_TYPE_F16) { + im2col_sycl_f16(src1_d, (sycl::half *) dst_d, IW, IH, OW, OH, KW, KH, IC, N, IC_IH_IW, IH_IW, s0, s1, p0, p1, + d0, d1, stream); } else { - im2col_sycl_f32((const float *) src1->data, (float *) dst->data, IW, IH, OW, OH, KW, KH, IC, batch, - batch_offset, delta_offset, s0, s1, p0, p1, d0, d1, stream); + im2col_sycl_f32(src1_d, (float *) dst_d, IW, IH, OW, OH, KW, KH, IC, N, IC_IH_IW, IH_IW, s0, s1, p0, p1, d0, d1, stream); + } +} + +// [N*IC, ID, IH, IW] => [N*OD, OH, OW, IC * KD * KH * KW] +template +static void im2col_3d_kernel( + const float * src, T * dst, + int64_t N, int64_t IC, int64_t ID, int64_t IH, int64_t IW, int64_t OC, + int64_t KD, int64_t KH, int64_t KW, int64_t OD, int64_t OH, int64_t OW, + int64_t OH_OW, int64_t KD_KH_KW, int64_t ID_IH_IW, int64_t KH_KW, int64_t IH_IW, int64_t IC_ID_IH_IW, + int64_t IC_KD_KH_KW, int64_t OW_KD_KH_KW, int64_t OD_OH_OW_IC_KD_KH_KW, int64_t OH_OW_IC_KD_KH_KW, + int64_t OW_IC_KD_KH_KW, int64_t N_OD_OH, int64_t OD_OH, + int64_t stride_q, int64_t stride_z, int64_t stride_y, int64_t stride_x, + int s0, int s1, int s2, int p0, int p1, int p2, int d0, int d1, int d2) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int64_t i = item_ct1.get_local_id(2) + item_ct1.get_group(2) * item_ct1.get_local_range(2); + if (i >= IC_KD_KH_KW) { + return; + } + GGML_UNUSED(N); GGML_UNUSED(OC); GGML_UNUSED(OH_OW); GGML_UNUSED(OD); GGML_UNUSED(OW); GGML_UNUSED(KD); GGML_UNUSED(KH); + GGML_UNUSED(ID_IH_IW); GGML_UNUSED(IH_IW); GGML_UNUSED(IC_ID_IH_IW); GGML_UNUSED(OW_KD_KH_KW); + + const int64_t iic = i / KD_KH_KW; + const int64_t ikd = (i - iic * KD_KH_KW) / KH_KW; + const int64_t ikh = (i - iic * KD_KH_KW - ikd * KH_KW) / KW; + const int64_t ikw = i % KW; + + const int64_t iow = item_ct1.get_group(1); + for (int64_t iz = item_ct1.get_group(0); iz < N_OD_OH; iz += MAX_GRIDDIM_Z) { + const int64_t in = iz / OD_OH; + const int64_t iod = (iz - in*OD_OH) / OH; + const int64_t ioh = iz % OH; + + const int64_t iiw = iow * s0 + ikw * d0 - p0; + const int64_t iih = ioh * s1 + ikh * d1 - p1; + const int64_t iid = iod * s2 + ikd * d2 - p2; + + const int64_t offset_dst = in*OD_OH_OW_IC_KD_KH_KW + iod*OH_OW_IC_KD_KH_KW + ioh*OW_IC_KD_KH_KW + iow*IC_KD_KH_KW + iic*KD_KH_KW + ikd * KH_KW + ikh*KW + ikw; + + if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW || iid < 0 || iid >= ID) { + dst[offset_dst] = 0.0f; + } else { + const int64_t offset_src = ((in * IC + iic) * stride_q) + (iid * stride_z) + (iih * stride_y) + (iiw * stride_x); + dst[offset_dst] = src[offset_src]; + } + } +} + +// [N*IC, ID, IH, IW] => [N*OD, OH, OW, IC * KD * KH * KW] +template +static void im2col_3d_sycl(const float * src, + T * dst, + int64_t N, + int64_t IC, + int64_t ID, + int64_t IH, + int64_t IW, + int64_t OC, + int64_t KD, + int64_t KH, + int64_t KW, + int64_t OD, + int64_t OH, + int64_t OW, + int64_t stride_q, + int64_t stride_z, + int64_t stride_y, + int64_t stride_x, + int s0, + int s1, + int s2, + int p0, + int p1, + int p2, + int d0, + int d1, + int d2, + dpct::queue_ptr stream) { + const int64_t OH_OW = OH*OW; + const int64_t KD_KH_KW = KD*KH*KW; + const int64_t ID_IH_IW = ID*IH*IW; + const int64_t KH_KW = KH*KW; + const int64_t IH_IW = IH*IW; + const int64_t IC_KD_KH_KW = IC*KD*KH*KW; + const int64_t OW_KD_KH_KW = OW*KD*KH*KW; + const int64_t N_OD_OH = N*OD*OH; + const int64_t OD_OH = OD*OH; + const int64_t IC_ID_IH_IW = IC*ID*IH*IW; + const int64_t OD_OH_OW_IC_KD_KH_KW = OD*OH*OW*IC*KD*KH*KW; + const int64_t OH_OW_IC_KD_KH_KW = OH*OW*IC*KD*KH*KW; + const int64_t OW_IC_KD_KH_KW = OW*IC*KD*KH*KW; + const int64_t num_blocks = (IC_KD_KH_KW + SYCL_IM2COL_BLOCK_SIZE - 1) / SYCL_IM2COL_BLOCK_SIZE; + dpct::dim3 block_nums(num_blocks, OW, MIN(N_OD_OH, MAX_GRIDDIM_Z)); + /* + DPCT1049:74: The work-group size passed to the SYCL kernel may exceed the limit. To get the device limit, query info::device::max_work_group_size. Adjust the work-group size if needed. + */ + stream->parallel_for(sycl::nd_range<3>(block_nums * sycl::range<3>(1, 1, MIN(IC_KD_KH_KW, SYCL_IM2COL_BLOCK_SIZE)), + sycl::range<3>(1, 1, MIN(IC_KD_KH_KW, SYCL_IM2COL_BLOCK_SIZE))), + [=](sycl::nd_item<3> item_ct1) { + im2col_3d_kernel(src, dst, N, IC, ID, IH, IW, OC, KD, KH, KW, OD, OH, OW, OH_OW, KD_KH_KW, + ID_IH_IW, KH_KW, IH_IW, IC_ID_IH_IW, IC_KD_KH_KW, OW_KD_KH_KW, + OD_OH_OW_IC_KD_KH_KW, OH_OW_IC_KD_KH_KW, OW_IC_KD_KH_KW, N_OD_OH, OD_OH, + stride_q, stride_z, stride_y, stride_x, s0, s1, s2, p0, p1, p2, d0, d1, + d2); + }); +} + +static void im2col_3d_sycl_f16(const float * src, + sycl::half * dst, + int64_t N, + int64_t IC, + int64_t ID, + int64_t IH, + int64_t IW, + int64_t OC, + int64_t KD, + int64_t KH, + int64_t KW, + int64_t OD, + int64_t OH, + int64_t OW, + int64_t stride_q, + int64_t stride_z, + int64_t stride_y, + int64_t stride_x, + int s0, + int s1, + int s2, + int p0, + int p1, + int p2, + int d0, + int d1, + int d2, + dpct::queue_ptr stream) { + im2col_3d_sycl(src, dst, N, IC, ID, IH, IW, OC, KD, KH, KW, OD, OH, OW, stride_q, stride_z, stride_y, + stride_x, s0, s1, s2, p0, p1, p2, d0, d1, d2, stream); +} + +static void im2col_3d_sycl_f32(const float * src, + float * dst, + int64_t N, + int64_t IC, + int64_t ID, + int64_t IH, + int64_t IW, + int64_t OC, + int64_t KD, + int64_t KH, + int64_t KW, + int64_t OD, + int64_t OH, + int64_t OW, + int64_t stride_q, + int64_t stride_z, + int64_t stride_y, + int64_t stride_x, + int s0, + int s1, + int s2, + int p0, + int p1, + int p2, + int d0, + int d1, + int d2, + dpct::queue_ptr stream) { + im2col_3d_sycl(src, dst, N, IC, ID, IH, IW, OC, KD, KH, KW, OD, OH, OW, + stride_q, stride_z, stride_y, stride_x, + s0, s1, s2, p0, p1, p2, d0, d1, d2, stream); +} + +void ggml_sycl_op_im2col_3d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + const ggml_tensor * src1 = dst->src[1]; + const float * src1_d = (const float *)src1->data; + float * dst_d = (float *)dst->data; + dpct::queue_ptr stream = ctx.stream(); + + GGML_ASSERT(src1->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F16 || dst->type == GGML_TYPE_F32); + + GGML_TENSOR_BINARY_OP_LOCALS + + const int32_t s0 = ((const int32_t *)(dst->op_params))[0]; + const int32_t s1 = ((const int32_t *)(dst->op_params))[1]; + const int32_t s2 = ((const int32_t *)(dst->op_params))[2]; + const int32_t p0 = ((const int32_t *)(dst->op_params))[3]; + const int32_t p1 = ((const int32_t *)(dst->op_params))[4]; + const int32_t p2 = ((const int32_t *)(dst->op_params))[5]; + const int32_t d0 = ((const int32_t *)(dst->op_params))[6]; + const int32_t d1 = ((const int32_t *)(dst->op_params))[7]; + const int32_t d2 = ((const int32_t *)(dst->op_params))[8]; + const int32_t IC = ((const int32_t *)(dst->op_params))[9]; + + const int64_t N = ne13 / IC; + const int64_t ID = ne12; + const int64_t IH = ne11; + const int64_t IW = ne10; + + const int64_t OC = ne03 / IC; + const int64_t KD = ne02; + const int64_t KH = ne01; + const int64_t KW = ne00; + + const int64_t OD = ne3 / N; + const int64_t OH = ne2; + const int64_t OW = ne1; + + const size_t es = ggml_element_size(src1); + const int64_t stride_x = src1->nb[0] / es; + const int64_t stride_y = src1->nb[1] / es; + const int64_t stride_z = src1->nb[2] / es; + const int64_t stride_q = src1->nb[3] / es; + + if(dst->type == GGML_TYPE_F16) { + im2col_3d_sycl_f16(src1_d, (sycl::half *) dst_d, N, IC, ID, IH, IW, OC, KD, KH, KW, OD, OH, OW, + stride_q, stride_z, stride_y, stride_x, + s0, s1, s2, p0, p1, p2, d0, d1, d2, stream); + } else { + im2col_3d_sycl_f32(src1_d, (float *) dst_d, N, IC, ID, IH, IW, OC, KD, KH, KW, OD, OH, OW, + stride_q, stride_z, stride_y, stride_x, + s0, s1, s2, p0, p1, p2, d0, d1, d2, stream); } } diff --git a/ggml/src/ggml-sycl/im2col.hpp b/ggml/src/ggml-sycl/im2col.hpp index dbbb248ddb..976d109463 100644 --- a/ggml/src/ggml-sycl/im2col.hpp +++ b/ggml/src/ggml-sycl/im2col.hpp @@ -1,6 +1,6 @@ // // MIT license -// Copyright (C) 2024 Intel Corporation +// Copyright (C) 2026 Intel Corporation // SPDX-License-Identifier: MIT // @@ -15,7 +15,9 @@ #include "common.hpp" -void ggml_sycl_op_im2col( - ggml_backend_sycl_context & ctx, ggml_tensor *dst); +#define SYCL_IM2COL_BLOCK_SIZE 256 + +void ggml_sycl_op_im2col(ggml_backend_sycl_context & ctx, ggml_tensor * dst); +void ggml_sycl_op_im2col_3d(ggml_backend_sycl_context & ctx, ggml_tensor * dst); #endif // GGML_SYCL_IM2COL_HPP diff --git a/ggml/src/ggml-sycl/mmvq.cpp b/ggml/src/ggml-sycl/mmvq.cpp index 8fa2198f35..49998f13ba 100644 --- a/ggml/src/ggml-sycl/mmvq.cpp +++ b/ggml/src/ggml-sycl/mmvq.cpp @@ -839,6 +839,26 @@ static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy, } } +static void reorder_mul_mat_vec_q5_k_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols, + const int nrows, dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + + const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y); + constexpr size_t num_subgroups = 16; + GGML_ASSERT(block_num_y % num_subgroups == 0); + + const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE); + const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE); + + stream->submit([&](sycl::handler & cgh) { + cgh.parallel_for(sycl::nd_range<3>(global_size, workgroup_size), + [=](sycl::nd_item<3> nd_item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + mul_mat_vec_q_reorder>(vx, vy, dst, ncols, + nrows, nd_item); + }); + }); +} + static void reorder_mul_mat_vec_q6_k_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, dpct::queue_ptr stream) { GGML_ASSERT(ncols % QK_K == 0); @@ -1125,6 +1145,7 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens GGML_SYCL_DEBUG("Calling reorder_mul_mat_vec_q8_0_q8_1_sycl\n"); reorder_mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream); } else { + GGML_SYCL_DEBUG("Calling mul_mat_vec_q8_0_q8_1_sycl\n"); mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream); } break; @@ -1145,7 +1166,14 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens } break; case GGML_TYPE_Q5_K: - mul_mat_vec_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream); + if ((ggml_tensor_extra_gpu *) dst->src[0]->extra && + ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) { + GGML_SYCL_DEBUG("Calling reorder_mul_mat_vec_q5_k_q8_1_sycl\n"); + reorder_mul_mat_vec_q5_k_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream); + } else { + GGML_SYCL_DEBUG("Calling mul_mat_vec_q5_K_q8_1_sycl\n"); + mul_mat_vec_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream); + } break; case GGML_TYPE_Q6_K: if ((ggml_tensor_extra_gpu *) dst->src[0]->extra && diff --git a/ggml/src/ggml-sycl/pad.cpp b/ggml/src/ggml-sycl/pad.cpp index f989c5e4b8..ee93bb5180 100644 --- a/ggml/src/ggml-sycl/pad.cpp +++ b/ggml/src/ggml-sycl/pad.cpp @@ -13,7 +13,8 @@ //#include "common.hpp" #include "pad.hpp" -static void pad_f32(const float * src, float * dst, +static void pad_f32(const float * src, size_t s00, size_t s01, size_t s02, size_t s03, + float * dst, const int lp0, const int rp0, const int lp1, const int rp1, const int lp2, const int rp2, const int lp3, const int rp3, const int ne0, const int ne1, const int ne2, const int ne3, @@ -27,7 +28,6 @@ static void pad_f32(const float * src, float * dst, return; } - // operation const int64_t dst_idx = i3*(ne0*ne1*ne2) + i2*(ne0*ne1) + i1*ne0 + i0; if ((i0 >= lp0 && i0 < ne0 - rp0) && (i1 >= lp1 && i1 < ne1 - rp1) && @@ -37,12 +37,8 @@ static void pad_f32(const float * src, float * dst, const int64_t i01 = i1 - lp1; const int64_t i02 = i2 - lp2; const int64_t i03 = i3 - lp3; - const int64_t ne02 = ne2 - lp2 - rp2; - const int64_t ne01 = ne1 - lp1 - rp1; - const int64_t ne00 = ne0 - lp0 - rp0; - const int64_t src_idx = i03 * (ne00 * ne01 * ne02) + - i02 * (ne00 * ne01) + i01 * ne00 + i00; + const int64_t src_idx = i03 * s03 + i02 * s02 + i01 * s01 + i00 * s00; dst[dst_idx] = src[src_idx]; } else { @@ -50,20 +46,19 @@ static void pad_f32(const float * src, float * dst, } } -static void pad_f32_sycl(const float *src, float *dst, const int lp0, - const int rp0, const int lp1, const int rp1, - const int lp2, const int rp2, const int lp3, - const int rp3, const int ne0, const int ne1, - const int ne2, const int ne3, +static void pad_f32_sycl(const float * src, size_t s00, size_t s01, size_t s02, size_t s03, + float * dst, const int lp0, const int rp0, const int lp1, const int rp1, + const int lp2, const int rp2, const int lp3, const int rp3, + const int ne0, const int ne1, const int ne2, const int ne3, dpct::queue_ptr stream) { int num_blocks = (ne0 + SYCL_PAD_BLOCK_SIZE - 1) / SYCL_PAD_BLOCK_SIZE; - dpct::dim3 gridDim(num_blocks, ne1, ne2 * ne3); + sycl::range<3> grid(ne2 * ne3, ne1, num_blocks); stream->parallel_for( - sycl::nd_range<3>(gridDim * sycl::range<3>(1, 1, SYCL_PAD_BLOCK_SIZE), + sycl::nd_range<3>(grid * sycl::range<3>(1, 1, SYCL_PAD_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_PAD_BLOCK_SIZE)), [=](sycl::nd_item<3> item_ct1) { - pad_f32(src, dst, lp0, rp0, lp1, rp1, lp2, rp2, lp3, rp3, ne0, ne1, - ne2, ne3, item_ct1); + pad_f32(src, s00, s01, s02, s03, dst, lp0, rp0, lp1, rp1, lp2, rp2, lp3, rp3, + ne0, ne1, ne2, ne3, item_ct1); }); } @@ -71,22 +66,27 @@ void ggml_sycl_op_pad(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { const ggml_tensor * src0 = dst->src[0]; const float * src0_d = (const float *)src0->data; float * dst_d = (float *)dst->data; - dpct::queue_ptr stream = ctx.stream(); + dpct::queue_ptr stream = ctx.stream(); GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT(dst->type == GGML_TYPE_F32); - GGML_ASSERT(ggml_is_contiguous(src0)); - const int32_t lp0 = ((const int32_t*)(dst->op_params))[0]; - const int32_t rp0 = ((const int32_t*)(dst->op_params))[1]; - const int32_t lp1 = ((const int32_t*)(dst->op_params))[2]; - const int32_t rp1 = ((const int32_t*)(dst->op_params))[3]; - const int32_t lp2 = ((const int32_t*)(dst->op_params))[4]; - const int32_t rp2 = ((const int32_t*)(dst->op_params))[5]; - const int32_t lp3 = ((const int32_t*)(dst->op_params))[6]; - const int32_t rp3 = ((const int32_t*)(dst->op_params))[7]; + const size_t ts = ggml_type_size(src0->type); + const size_t s00 = src0->nb[0] / ts; + const size_t s01 = src0->nb[1] / ts; + const size_t s02 = src0->nb[2] / ts; + const size_t s03 = src0->nb[3] / ts; - pad_f32_sycl(src0_d, dst_d, + const int32_t lp0 = ((const int32_t *)(dst->op_params))[0]; + const int32_t rp0 = ((const int32_t *)(dst->op_params))[1]; + const int32_t lp1 = ((const int32_t *)(dst->op_params))[2]; + const int32_t rp1 = ((const int32_t *)(dst->op_params))[3]; + const int32_t lp2 = ((const int32_t *)(dst->op_params))[4]; + const int32_t rp2 = ((const int32_t *)(dst->op_params))[5]; + const int32_t lp3 = ((const int32_t *)(dst->op_params))[6]; + const int32_t rp3 = ((const int32_t *)(dst->op_params))[7]; + + pad_f32_sycl(src0_d, s00, s01, s02, s03, dst_d, lp0, rp0, lp1, rp1, lp2, rp2, lp3, rp3, dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], stream); } diff --git a/ggml/src/ggml-sycl/quants.hpp b/ggml/src/ggml-sycl/quants.hpp index 1f5b62740a..806028ef3a 100644 --- a/ggml/src/ggml-sycl/quants.hpp +++ b/ggml/src/ggml-sycl/quants.hpp @@ -79,6 +79,31 @@ template <> struct block_q_t { static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; } }; +template <> struct block_q_t { + struct traits { + static constexpr uint32_t qk = QK_K; + static constexpr uint32_t qi = QI5_K; + static constexpr uint32_t qr = QR5_K; + static constexpr uint32_t vdr_mmvq = 2; + }; + + // Reordered layout: [qs (QK_K/2 per block)] [qh (QK_K/8 per block)] [scales] [dm] + static constexpr std::pair get_block_offset(const int block_index, const int n_blocks) { + auto qs_offset = block_index * (QK_K / 2); + auto qh_offset = n_blocks * (QK_K / 2) + block_index * (QK_K / 8); + return { qs_offset, qh_offset }; + } + + static constexpr std::pair get_d_offset(int nrows, int ncols, const int block_index) { + auto nblocks = (nrows * (ncols / QK_K)); + auto total_qs_bytes = nblocks * (QK_K / 2) + nblocks * (QK_K / 8); + return { total_qs_bytes + block_index * K_SCALE_SIZE, + total_qs_bytes + nblocks * K_SCALE_SIZE + block_index * sizeof(ggml_half2) }; + } + + static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; } +}; + template <> struct block_q_t { struct traits { static constexpr uint32_t qk = QK_K; diff --git a/ggml/src/ggml-sycl/solve_tri.cpp b/ggml/src/ggml-sycl/solve_tri.cpp new file mode 100644 index 0000000000..39326deee4 --- /dev/null +++ b/ggml/src/ggml-sycl/solve_tri.cpp @@ -0,0 +1,172 @@ +#include "solve_tri.hpp" +#include "common.hpp" +#include + +template +static void solve_tri_f32_fast(const float * __restrict__ A, + const float * __restrict__ B, + float * __restrict__ X, + const int64_t ne02, [[maybe_unused]] const int64_t ne03, + const int64_t nb02, const int64_t nb03, + const int64_t nb12, const int64_t nb13, + const int64_t nb2, const int64_t nb3, + const int n_arg, const int k_arg, + const sycl::nd_item<2> & item, float * sA) { + + const int n = n_template == 0 ? n_arg : n_template; + const int k = k_template == 0 ? k_arg : k_template; + + const int batch_idx = item.get_group(1); + const int lane = item.get_local_id(1) % WARP_SIZE; + const int col_idx = item.get_local_id(0); + + if (col_idx >= k) { + return; + } + + const int64_t i03 = batch_idx / ne02; + const int64_t i02 = batch_idx % ne02; + + const float * A_batch = (const float *) ((const char *) A + i02 * nb02 + i03 * nb03); + const float * B_batch = (const float *) ((const char *) B + i02 * nb12 + i03 * nb13); + float * X_batch = (float *) ((char *) X + i02 * nb2 + i03 * nb3); + + const int offset = item.get_local_id(1) + item.get_local_id(0) * item.get_local_range(1); + +#pragma unroll + for (int i = 0; i < n * n; i += k * WARP_SIZE) { + const int i0 = i + offset; + if (i0 < n * n) { + sA[i0] = A_batch[i0]; + } + } + + item.barrier(sycl::access::fence_space::local_space); + + float x_low = (lane < n) ? B_batch[lane * k + col_idx] : 0.0f; + float x_high = (WARP_SIZE + lane < n) ? B_batch[(WARP_SIZE + lane) * k + col_idx] : 0.0f; + + const int half = WARP_SIZE; + const int nrows_low = (n < half) ? n : half; + +#pragma unroll + for (int row = 0; row < nrows_low; ++row) { + float sum = 0.0f; + if (lane < row) { + sum += sA[row * n + lane] * x_low; + } + sum = warp_reduce_sum(sum); + if (lane == row) { + x_low = (x_low - sum) / sA[row * n + row]; + } + } + +#pragma unroll + for (int row = half; row < n; ++row) { + float sum = sA[row * n + lane] * x_low; + const int j = half + lane; + if (j < row) { + sum += sA[row * n + j] * x_high; + } + sum = warp_reduce_sum(sum); + if (lane == row - half) { + x_high = (x_high - sum) / sA[row * n + row]; + } + } + +#pragma unroll + for (int rr = 0; rr < 2; ++rr) { + const int row = rr * WARP_SIZE + lane; + if (row < n) { + const float val = (row < half) ? x_low : x_high; + X_batch[row * k + col_idx] = val; + } + } +} + +static void solve_tri_f32_mkl(dpct::queue_ptr stream, + const float * A, float * X, + int n, int k, + int64_t ne02, [[maybe_unused]] int64_t ne03, + int64_t nb02, [[maybe_unused]] int64_t nb03, + int64_t nb2, [[maybe_unused]] int64_t nb3) { + const float alpha = 1.0f; + const int64_t total_batches = ne02 * ne03; + if (total_batches == 0) { + return; + } + + const int64_t stride_a = nb02 / sizeof(float); + const int64_t stride_x = nb2 / sizeof(float); + + oneapi::mkl::blas::trsm_batch( + *stream, + oneapi::mkl::side::right, + oneapi::mkl::uplo::upper, + oneapi::mkl::transpose::nontrans, + oneapi::mkl::diag::nonunit, + k, n, alpha, + A, n, stride_a, + X, k, stride_x, + total_batches); +} + +inline void ggml_sycl_op_solve_tri(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + const ggml_tensor * src1 = dst->src[1]; + + GGML_ASSERT(ggml_is_contiguous(src0)); + GGML_ASSERT(ggml_is_contiguous(src1)); + GGML_ASSERT(src0->type == GGML_TYPE_F32); + + dpct::queue_ptr stream = ctx.stream(); + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + + const int n = src0->ne[0]; + const int k = src1->ne[0]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + GGML_ASSERT(n <= SYCL_SOLVE_TRI_MAX_N && k <= SYCL_SOLVE_TRI_MAX_K); + + const float * A_d = static_cast(src0->data); + const float * B_d = static_cast(src1->data); + float * X_d = static_cast(dst->data); + + if (X_d != B_d) { + const int64_t total_elements = (int64_t)n * k * ne02 * ne03; + stream->memcpy(X_d, B_d, total_elements * sizeof(float)); + } + + const int64_t nb02 = src0->nb[2]; + const int64_t nb03 = src0->nb[3]; + const int64_t nb12 = src1->nb[2]; + const int64_t nb13 = src1->nb[3]; + const int64_t nb2 = dst->nb[2]; + const int64_t nb3 = dst->nb[3]; + + const int64_t total_batches = ne02 * ne03; + + if (n <= 2 * WARP_SIZE && k <= 32) { + const int smem_size = 2 * WARP_SIZE * 2 * WARP_SIZE; + const sycl::range<2> grid(1, total_batches); + const sycl::range<2> block(k, WARP_SIZE); + stream->submit([&](sycl::handler & cgh) { + sycl::local_accessor smem_acc(sycl::range<1>(smem_size), cgh); + cgh.parallel_for( + sycl::nd_range<2>(grid * block, block), + [=](sycl::nd_item<2> item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + solve_tri_f32_fast<0, 0>(A_d, B_d, X_d, ne02, ne03, + nb02, nb03, nb12, nb13, nb2, nb3, + n, k, item, get_pointer(smem_acc)); + }); + }); + } else { + solve_tri_f32_mkl(stream, A_d, X_d, n, k, ne02, ne03, nb02, nb03, nb2, nb3); + } +} + +void ggml_sycl_solve_tri(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/2); + ggml_sycl_op_solve_tri(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/solve_tri.hpp b/ggml/src/ggml-sycl/solve_tri.hpp new file mode 100644 index 0000000000..c7c34cfa2b --- /dev/null +++ b/ggml/src/ggml-sycl/solve_tri.hpp @@ -0,0 +1,8 @@ +#pragma once + +#include "common.hpp" + +#define SYCL_SOLVE_TRI_MAX_N 64 +#define SYCL_SOLVE_TRI_MAX_K 64 + +void ggml_sycl_solve_tri(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/ssm_conv.cpp b/ggml/src/ggml-sycl/ssm_conv.cpp index eea9a73d67..e55223586a 100644 --- a/ggml/src/ggml-sycl/ssm_conv.cpp +++ b/ggml/src/ggml-sycl/ssm_conv.cpp @@ -63,7 +63,7 @@ static void kernel_ssm_conv( }); } -void ggml_sycl_ssm_conv(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { +inline void ggml_sycl_op_ssm_conv(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { ggml_tensor * src0 = dst->src[0]; ggml_tensor * src1 = dst->src[1]; @@ -125,3 +125,8 @@ void ggml_sycl_ssm_conv(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { throw; } } + +void ggml_sycl_ssm_conv(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/2); + ggml_sycl_op_ssm_conv(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/ssm_scan.cpp b/ggml/src/ggml-sycl/ssm_scan.cpp new file mode 100644 index 0000000000..ae65298138 --- /dev/null +++ b/ggml/src/ggml-sycl/ssm_scan.cpp @@ -0,0 +1,156 @@ +#include "ssm_scan.hpp" +#include "common.hpp" + +template +static void ssm_scan_f32_group( + const float * __restrict__ src0, const float * __restrict__ src1, const float * __restrict__ src2, + const float * __restrict__ src3, const float * __restrict__ src4, const float * __restrict__ src5, + const int32_t * __restrict__ src6, float * __restrict__ dst, + const int src0_nb2, const int src0_nb3, const int src1_nb2, const int src1_nb3, + const int src2_nb1, const int src2_nb2, const int src3_nb1, + const int src4_nb2, const int src4_nb3, const int src5_nb2, const int src5_nb3, + const int64_t s_off, const int64_t n_head, const int64_t d_head, const int64_t n_group, const int64_t n_tok, + const sycl::nd_item<2> & item) { + + const int lane = item.get_local_id(1) % WARP_SIZE; + const int warp = item.get_local_id(1) / WARP_SIZE; + const int warp_idx = item.get_group(1) * c_factor + warp; + const int seq_idx = item.get_group(0); + + const int head_idx = warp_idx / d_head; + const int head_off = (warp_idx % d_head) * sizeof(float); + const int group_off = (head_idx / (n_head / n_group)) * d_state * sizeof(float); + + const float * s0_warp = (const float *) ((const char *) src0 + src6[seq_idx] * src0_nb3 + head_idx * src0_nb2 + head_off * d_state); + const float * x_warp = (const float *) ((const char *) src1 + (seq_idx * src1_nb3) + (warp_idx * sizeof(float))); + const float * dt_warp = (const float *) ((const char *) src2 + (seq_idx * src2_nb2) + head_idx * sizeof(float)); + const float * A_warp = (const float *) ((const char *) src3 + head_idx * src3_nb1); + const float * B_warp = (const float *) ((const char *) src4 + (seq_idx * src4_nb3) + (group_off)); + const float * C_warp = (const float *) ((const char *) src5 + (seq_idx * src5_nb3) + (group_off)); + float * y_warp = dst + (seq_idx * n_tok * n_head * d_head) + warp_idx; + float * s_warp = (float *) ((char *) dst + s_off + seq_idx * src0_nb3 + head_idx * src0_nb2 + head_off * d_state); + + const int stride_x = src1_nb2 / sizeof(float); + const int stride_dt = src2_nb1 / sizeof(float); + const int stride_B = src4_nb2 / sizeof(float); + const int stride_C = src5_nb2 / sizeof(float); + const int stride_y = n_head * d_head; + + float state[c_factor]; + float state_sum = 0.0f; + +#pragma unroll + for (int j = 0; j < c_factor; j++) { + state[j] = s0_warp[WARP_SIZE * j + lane]; + } + + for (int64_t i = 0; i < n_tok; i++) { + const float dt_val = dt_warp[i * stride_dt]; + const float dt_soft_plus = (dt_val <= 20.0f ? sycl::log1p(sycl::exp(dt_val)) : dt_val); + + state_sum = 0.0f; + const float dA = sycl::exp(dt_soft_plus * A_warp[0]); + const float x_dt = x_warp[i * stride_x] * dt_soft_plus; +#pragma unroll + for (int j = 0; j < c_factor; j++) { + const float B_val = B_warp[i * stride_B + WARP_SIZE * j + lane]; + const float C_val = C_warp[i * stride_C + WARP_SIZE * j + lane]; + state[j] = (state[j] * dA) + (B_val * x_dt); + state_sum += state[j] * C_val; + } + + state_sum = warp_reduce_sum(state_sum); + + if (lane == 0) { + y_warp[i * stride_y] = state_sum; + } + } + +#pragma unroll + for (int j = 0; j < c_factor; j++) { + s_warp[WARP_SIZE * j + lane] = state[j]; + } +} + +static void ssm_scan_f32_sycl( + const float * src0, const float * src1, const float * src2, const float * src3, + const float * src4, const float * src5, const int32_t * src6, float * dst, + const int src0_nb2, const int src0_nb3, const int src1_nb2, const int src1_nb3, const int src2_nb1, + const int src2_nb2, const int src3_nb1, const int src4_nb2, const int src4_nb3, const int src5_nb2, + const int src5_nb3, const int64_t s_off, const int64_t d_state, const int64_t head_dim, + const int64_t n_head, const int64_t n_group, const int64_t n_tok, const int64_t n_seq, + dpct::queue_ptr stream) { + + // NOTE: if you change conditions here, be sure to update the corresponding supports_op condition! + GGML_ASSERT(src3_nb1 == sizeof(float)); + if (d_state == 128) { + constexpr int threads = 128; + constexpr int num_warps = threads / WARP_SIZE; + const sycl::range<2> grid(n_seq, (n_head * head_dim + num_warps - 1) / num_warps); + const sycl::range<2> block(1, threads); + stream->parallel_for( + sycl::nd_range<2>(grid * block, block), + [=](sycl::nd_item<2> item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + ssm_scan_f32_group<128 / WARP_SIZE, 128>( + src0, src1, src2, src3, src4, src5, src6, dst, + src0_nb2, src0_nb3, src1_nb2, src1_nb3, src2_nb1, src2_nb2, src3_nb1, + src4_nb2, src4_nb3, src5_nb2, src5_nb3, s_off, n_head, head_dim, n_group, n_tok, item); + }); + } else if (d_state == 256) { + constexpr int threads = 256; + constexpr int num_warps = threads / WARP_SIZE; + const sycl::range<2> grid(n_seq, (n_head * head_dim + num_warps - 1) / num_warps); + const sycl::range<2> block(1, threads); + stream->parallel_for( + sycl::nd_range<2>(grid * block, block), + [=](sycl::nd_item<2> item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + ssm_scan_f32_group<256 / WARP_SIZE, 256>( + src0, src1, src2, src3, src4, src5, src6, dst, + src0_nb2, src0_nb3, src1_nb2, src1_nb3, src2_nb1, src2_nb2, src3_nb1, + src4_nb2, src4_nb3, src5_nb2, src5_nb3, s_off, n_head, head_dim, n_group, n_tok, item); + }); + } else { + GGML_ABORT("ssm_scan: unsupported d_state (must be 128 or 256)"); + } +} + +inline void ggml_sycl_op_ssm_scan(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + const ggml_tensor * src1 = dst->src[1]; + const ggml_tensor * src2 = dst->src[2]; + const ggml_tensor * src3 = dst->src[3]; + const ggml_tensor * src4 = dst->src[4]; + const ggml_tensor * src5 = dst->src[5]; + const ggml_tensor * src6 = dst->src[6]; + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(src6->type == GGML_TYPE_I32); + GGML_ASSERT(dst->type == GGML_TYPE_F32); + + const int64_t nc = src0->ne[0]; + const int64_t nr = src0->ne[1]; + const int64_t nh = src1->ne[1]; + const int64_t ng = src4->ne[1]; + const int64_t n_t = src1->ne[2]; + const int64_t n_s = src1->ne[3]; + const int64_t s_off = ggml_nelements(src1) * sizeof(float); + + GGML_ASSERT(ggml_nelements(src1) + nc * nr * nh * n_s == ggml_nelements(dst)); + + dpct::queue_ptr stream = ctx.stream(); + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + + ssm_scan_f32_sycl( + static_cast(src0->data), static_cast(src1->data), + static_cast(src2->data), static_cast(src3->data), + static_cast(src4->data), static_cast(src5->data), + static_cast(src6->data), static_cast(dst->data), + src0->nb[2], src0->nb[3], src1->nb[2], src1->nb[3], src2->nb[1], src2->nb[2], + src3->nb[1], src4->nb[2], src4->nb[3], src5->nb[2], src5->nb[3], + s_off, nc, nr, nh, ng, n_t, n_s, stream); +} + +void ggml_sycl_ssm_scan(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/7); + ggml_sycl_op_ssm_scan(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/ssm_scan.hpp b/ggml/src/ggml-sycl/ssm_scan.hpp new file mode 100644 index 0000000000..1f9731fb6f --- /dev/null +++ b/ggml/src/ggml-sycl/ssm_scan.hpp @@ -0,0 +1,5 @@ +#pragma once + +#include "common.hpp" + +void ggml_sycl_ssm_scan(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/vecdotq.hpp b/ggml/src/ggml-sycl/vecdotq.hpp index 9253168e5e..d777004742 100644 --- a/ggml/src/ggml-sycl/vecdotq.hpp +++ b/ggml/src/ggml-sycl/vecdotq.hpp @@ -357,38 +357,31 @@ template <> struct reorder_vec_dot_q_sycl { using q8_0_block = ggml_sycl_reordered::block_q_t; using q8_0_traits = typename q8_0_block::traits; - __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int * v, const int * u, const float & d8_0, const sycl::half2 & ds8) { - int sumi = 0; - -#pragma unroll - for (size_t i = 0; i < q8_0_traits::vdr_mmvq; ++i) { - // Q8_0 values are signed int8, no nibble extraction needed - // Direct dp4a: each int packs 4 int8 values - sumi = dpct::dp4a(v[i], u[i], sumi); - } - - const sycl::float2 ds8f = ds8.convert(); - - // Q8_0 has no bias term (values are signed), so just scale - return d8_0 * sumi * ds8f.x(); - } - __dpct_inline__ float operator()(const void * __restrict__ vbq, const std::pair ibx_offset, const std::pair d_offset, const int8_t * q8_1_quant_ptr, const sycl::half2 * q8_1_ds, const int & iqs) { - const int8_t * bq8_0 = static_cast(vbq) + ibx_offset.first; - const ggml_half d = *(reinterpret_cast(static_cast(vbq) + d_offset.first)); - int v[q8_0_traits::vdr_mmvq]; - int u[q8_0_traits::vdr_mmvq]; + const uint8_t * base = static_cast(vbq); + const int8_t * qs = reinterpret_cast(base + ibx_offset.first); + const ggml_half d = *reinterpret_cast(base + d_offset.first); + + int v[q8_0_traits::vdr_mmvq]; + int u[q8_0_traits::vdr_mmvq]; #pragma unroll for (size_t i = 0; i < q8_0_traits::vdr_mmvq; ++i) { - v[i] = get_int_from_int8(bq8_0, iqs + i); + v[i] = get_int_from_int8(qs, iqs + i); u[i] = get_int_from_int8_aligned(q8_1_quant_ptr, iqs + i); } - return vec_dot_q8_0_q8_1_impl(v, u, d, *q8_1_ds); - }; + int sumi = 0; +#pragma unroll + for (size_t i = 0; i < q8_0_traits::vdr_mmvq; ++i) { + sumi = dpct::dp4a(v[i], u[i], sumi); + } + + const sycl::half2 ds_values = *q8_1_ds; + return static_cast(d) * static_cast(ds_values[0]) * sumi; + } }; static inline float vec_dot_q4_K_q8_1_common(const int * __restrict__ q4, const uint16_t * __restrict__ scales, @@ -481,6 +474,65 @@ template <> struct reorder_vec_dot_q_sycl { } }; +template <> struct reorder_vec_dot_q_sycl { + static constexpr ggml_type gtype = GGML_TYPE_Q5_K; + + using q5_k_block = ggml_sycl_reordered::block_q_t; + using q5_k_traits = typename q5_k_block::traits; + + __dpct_inline__ float operator()(const void * __restrict__ vbq, const std::pair ibx_offset, + const std::pair d_offset, const int8_t * q8_1_quant_ptr, + const sycl::half2 * q8_1_ds, const int & iqs) { + const uint8_t * base = static_cast(vbq); + const uint8_t * qs = base + ibx_offset.first; // low 4 bits + const uint8_t * qh_base = base + ibx_offset.second; // high bit + const uint8_t * scs = base + d_offset.first; + const ggml_half2 * dms = reinterpret_cast(base + d_offset.second); + + const int bq8_offset = QR5_K * ((iqs / 2) / (QI8_1 / 2)); + const int * ql_ptr = (const int *) (qs + 16 * bq8_offset + 4 * ((iqs / 2) % 4)); + const int * qh_ptr = (const int *) (qh_base + 4 * ((iqs / 2) % 4)); + const uint16_t * scales = (const uint16_t *) scs; + + int vl[2]; + int vh[2]; + int u[2 * QR5_K]; + float d8[QR5_K]; + + vl[0] = ql_ptr[0]; + vl[1] = ql_ptr[4]; + + vh[0] = qh_ptr[0] >> bq8_offset; + vh[1] = qh_ptr[4] >> bq8_offset; + + uint16_t aux[2]; + const int j = (QR5_K * ((iqs / 2) / (QI8_1 / 2))) / 2; + if (j < 2) { + aux[0] = scales[j + 0] & 0x3f3f; + aux[1] = scales[j + 2] & 0x3f3f; + } else { + aux[0] = ((scales[j + 2] >> 0) & 0x0f0f) | ((scales[j - 2] & 0xc0c0) >> 2); + aux[1] = ((scales[j + 2] >> 4) & 0x0f0f) | ((scales[j - 0] & 0xc0c0) >> 2); + } + + const uint8_t * sc = (const uint8_t *) aux; + const uint8_t * m = sc + 2; + + for (int i = 0; i < QR5_K; ++i) { + const int8_t* quant_base_ptr = q8_1_quant_ptr + (bq8_offset + i) * QK8_1; + sycl::half2 ds_values = *(q8_1_ds + bq8_offset + i); + + d8[i] = ds_values[0]; + + const int * q8 = (const int *) quant_base_ptr + ((iqs / 2) % 4); + u[2 * i + 0] = q8[0]; + u[2 * i + 1] = q8[4]; + } + + return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, *dms, d8); + } +}; + template <> struct reorder_vec_dot_q_sycl { static constexpr ggml_type gtype = GGML_TYPE_Q6_K; diff --git a/ggml/src/ggml-virtgpu/ggml-backend-device.cpp b/ggml/src/ggml-virtgpu/ggml-backend-device.cpp index ec8156bb86..a978812cd9 100644 --- a/ggml/src/ggml-virtgpu/ggml-backend-device.cpp +++ b/ggml/src/ggml-virtgpu/ggml-backend-device.cpp @@ -1,5 +1,7 @@ #include "ggml-remoting.h" +#include + static const char * ggml_backend_remoting_device_get_name(ggml_backend_dev_t dev) { virtgpu * gpu = DEV_TO_GPU(dev); diff --git a/ggml/src/ggml-virtgpu/ggml-backend.cpp b/ggml/src/ggml-virtgpu/ggml-backend.cpp index 2b97855622..12756c9282 100644 --- a/ggml/src/ggml-virtgpu/ggml-backend.cpp +++ b/ggml/src/ggml-virtgpu/ggml-backend.cpp @@ -34,8 +34,8 @@ static ggml_backend_i ggml_backend_remoting_interface = { /* .free = */ ggml_backend_remoting_free, /* .set_tensor_async = */ NULL, // ggml_backend_remoting_set_tensor_async, /* .get_tensor_async = */ NULL, // ggml_backend_remoting_get_tensor_async, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, // ggml_backend_remoting_cpy_tensor_async, /* .synchronize = */ NULL, // ggml_backend_remoting_synchronize, /* .graph_plan_create = */ NULL, diff --git a/ggml/src/ggml-virtgpu/virtgpu-shm.cpp b/ggml/src/ggml-virtgpu/virtgpu-shm.cpp index ce6b3b3e60..7f2c2322d9 100644 --- a/ggml/src/ggml-virtgpu/virtgpu-shm.cpp +++ b/ggml/src/ggml-virtgpu/virtgpu-shm.cpp @@ -1,6 +1,7 @@ #include "virtgpu-shm.h" #include "virtgpu.h" +#include "ggml-remoting.h" #include diff --git a/ggml/src/ggml-virtgpu/virtgpu.cpp b/ggml/src/ggml-virtgpu/virtgpu.cpp index a84a77399d..e3ae1cc75e 100644 --- a/ggml/src/ggml-virtgpu/virtgpu.cpp +++ b/ggml/src/ggml-virtgpu/virtgpu.cpp @@ -1,4 +1,5 @@ #include "virtgpu.h" +#include "ggml-remoting.h" #include #include diff --git a/ggml/src/ggml-virtgpu/virtgpu.h b/ggml/src/ggml-virtgpu/virtgpu.h index f82d8fb50b..6b8de58389 100644 --- a/ggml/src/ggml-virtgpu/virtgpu.h +++ b/ggml/src/ggml-virtgpu/virtgpu.h @@ -18,8 +18,6 @@ #include -#include "ggml-remoting.h" - #define VIRGL_RENDERER_UNSTABLE_APIS 1 #include "apir_hw.h" #include diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 69c24bb587..a0a556206d 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -111,8 +111,6 @@ static bool is_pow2(uint32_t x) { return x > 1 && (x & (x-1)) == 0; } #define VK_DEVICE_DESCRIPTOR_POOL_SIZE 256 -#define GGML_VK_MAX_NODES 8192 - #define VK_CHECK(err, msg) \ do { \ vk::Result err_ = (err); \ @@ -440,10 +438,12 @@ struct vk_fa_pipeline_state { bool f32acc; uint32_t flags; uint32_t limit_occupancy_shmem; + ggml_type k_type; + ggml_type v_type; bool operator<(const vk_fa_pipeline_state &b) const { - return std::tie(HSK, HSV, Br, Bc, D_split, row_split, shmem_staging, path, workgroup_size, subgroup_size, aligned, f32acc, flags, limit_occupancy_shmem) < - std::tie(b.HSK, b.HSV, b.Br, b.Bc, b.D_split, b.row_split, b.shmem_staging, b.path, b.workgroup_size, b.subgroup_size, b.aligned, b.f32acc, b.flags, b.limit_occupancy_shmem); + return std::tie(HSK, HSV, Br, Bc, D_split, row_split, shmem_staging, path, workgroup_size, subgroup_size, aligned, f32acc, flags, limit_occupancy_shmem, k_type, v_type) < + std::tie(b.HSK, b.HSV, b.Br, b.Bc, b.D_split, b.row_split, b.shmem_staging, b.path, b.workgroup_size, b.subgroup_size, b.aligned, b.f32acc, b.flags, b.limit_occupancy_shmem, b.k_type, b.v_type); } }; @@ -681,6 +681,15 @@ struct vk_device_struct { bool mul_mat_id_m[GGML_TYPE_COUNT]; bool mul_mat_id_s[GGML_TYPE_COUNT]; + // Separate flags for the q8_1 (integer dot) mmq path, whose shader uses + // a different shared-memory layout than the float matmul shaders. + bool mul_mat_l_int[GGML_TYPE_COUNT]; + bool mul_mat_m_int[GGML_TYPE_COUNT]; + bool mul_mat_s_int[GGML_TYPE_COUNT]; + bool mul_mat_id_l_int[GGML_TYPE_COUNT]; + bool mul_mat_id_m_int[GGML_TYPE_COUNT]; + bool mul_mat_id_s_int[GGML_TYPE_COUNT]; + vk::DescriptorSetLayout dsl; vk_matmul_pipeline pipeline_matmul_f32 {}; @@ -855,7 +864,7 @@ struct vk_device_struct { vk_pipeline pipeline_conv2d_dw_whcn_f32, pipeline_conv2d_dw_whcn_f16_f32; vk_pipeline pipeline_conv2d_dw_cwhn_f32, pipeline_conv2d_dw_cwhn_f16_f32; - std::map pipeline_flash_attn_f32_f16[GGML_TYPE_COUNT]; + std::map pipeline_flash_attn_f32_f16; std::map, vk_pipeline> pipeline_fa_mask_opt; @@ -2149,11 +2158,11 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin // Patch SPIR-V to enable RTE rounding for FP16, avoiding the need for // separate shader variants compiled with -DRTE16. - std::vector spv; + std::vector spirv; if (device->float_controls_rte_fp16) { const uint32_t* spv_words = reinterpret_cast(spv_data); size_t word_count = spv_size / sizeof(uint32_t); - spv.assign(spv_words, spv_words + word_count); + spirv.assign(spv_words, spv_words + word_count); // Find insertion points respecting SPIR-V layout order: // Header(5) -> OpCapability -> OpExtension -> ... -> OpEntryPoint -> OpExecutionMode -> ... @@ -2163,9 +2172,9 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin size_t exec_insert_pos = pos; uint32_t entry_point_id = 0; - while (pos < spv.size()) { - uint32_t opcode = spv[pos] & spv::OpCodeMask; - uint32_t len = spv[pos] >> spv::WordCountShift; + while (pos < spirv.size()) { + uint32_t opcode = spirv[pos] & spv::OpCodeMask; + uint32_t len = spirv[pos] >> spv::WordCountShift; if (len == 0) break; if (opcode == spv::OpCapability) { @@ -2174,7 +2183,7 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin } else if (opcode == spv::OpExtension) { ext_insert_pos = pos + len; } else if (opcode == spv::OpEntryPoint) { - entry_point_id = spv[pos + 2]; + entry_point_id = spirv[pos + 2]; exec_insert_pos = pos + len; } else if (opcode == spv::OpExecutionMode || opcode == spv::OpExecutionModeId) { exec_insert_pos = pos + len; @@ -2189,7 +2198,7 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin // OpExecutionMode %entrypoint RoundingModeRTE 16 uint32_t exec_mode[] = { (4u << spv::WordCountShift) | spv::OpExecutionMode, entry_point_id, spv::ExecutionModeRoundingModeRTE, 16 }; - spv.insert(spv.begin() + exec_insert_pos, std::begin(exec_mode), std::end(exec_mode)); + spirv.insert(spirv.begin() + exec_insert_pos, std::begin(exec_mode), std::end(exec_mode)); // OpExtension "SPV_KHR_float_controls" const char ext_str[] = "SPV_KHR_float_controls"; @@ -2197,13 +2206,13 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin std::vector extension(1 + ext_str_words, 0); extension[0] = (uint32_t)((1 + ext_str_words) << spv::WordCountShift) | spv::OpExtension; memcpy(&extension[1], ext_str, sizeof(ext_str)); - spv.insert(spv.begin() + ext_insert_pos, extension.begin(), extension.end()); + spirv.insert(spirv.begin() + ext_insert_pos, extension.begin(), extension.end()); // OpCapability RoundingModeRTE uint32_t capability[] = { (2u << spv::WordCountShift) | spv::OpCapability, spv::CapabilityRoundingModeRTE }; - spv.insert(spv.begin() + cap_insert_pos, std::begin(capability), std::end(capability)); + spirv.insert(spirv.begin() + cap_insert_pos, std::begin(capability), std::end(capability)); - shader_module_create_info = vk::ShaderModuleCreateInfo({}, spv.size() * sizeof(uint32_t), spv.data()); + shader_module_create_info = vk::ShaderModuleCreateInfo({}, spirv.size() * sizeof(uint32_t), spirv.data()); } pipeline->shader_module = device->device.createShaderModule(shader_module_create_info); @@ -2933,10 +2942,10 @@ struct vk_fa_tuning_params { } }; -static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type kv_type); +static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type k_type, ggml_type v_type); static bool ggml_vk_flash_attn_coopmat_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc); -static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) { +static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type k_type, ggml_type v_type, bool f32acc) { vk_fa_tuning_params result{}; result.path = FA_SCALAR; @@ -2988,7 +2997,7 @@ static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device, result.shmem_staging = (device->vendor_id == VK_VENDOR_ID_NVIDIA && hsk < 256 && hsv < 256) ? 1 : 0; - if (!reduce_block_rows && !ggml_vk_flash_attn_scalar_shmem_support(device, result, hsk, hsv, f32acc, kv_type)) { + if (!reduce_block_rows && !ggml_vk_flash_attn_scalar_shmem_support(device, result, hsk, hsv, f32acc, k_type, v_type)) { result.block_rows /= 2; } @@ -3011,10 +3020,11 @@ static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device, return result; } -static vk_fa_tuning_params get_fa_tuning_params_coopmat1(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) { +static vk_fa_tuning_params get_fa_tuning_params_coopmat1(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type k_type, ggml_type v_type, bool f32acc) { GGML_UNUSED(n_rows); GGML_UNUSED(n_kv); - GGML_UNUSED(kv_type); + GGML_UNUSED(k_type); + GGML_UNUSED(v_type); GGML_UNUSED(f32acc); vk_fa_tuning_params result{}; @@ -3041,7 +3051,7 @@ static vk_fa_tuning_params get_fa_tuning_params_coopmat1(const vk_device& device return result; } -static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) { +static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type k_type, ggml_type v_type, bool f32acc) { GGML_UNUSED(n_kv); GGML_UNUSED(f32acc); @@ -3055,7 +3065,7 @@ static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device if (small_rows) { result.block_rows = 32; result.block_cols = 32; - } else if (ggml_is_quantized(kv_type) || hsk >= 256 || hsv >= 256) { + } else if (ggml_is_quantized(k_type) || ggml_is_quantized(v_type) || hsk >= 256 || hsv >= 256) { result.block_rows = (hsk >= 512 || hsv >= 512) ? 32 : 64; result.block_cols = 32; } else { @@ -3069,7 +3079,7 @@ static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device return result; } -static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) { +static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type k_type, ggml_type v_type, bool f32acc) { FaCodePath path = device->coopmat2 ? FA_COOPMAT2 : device->coopmat1_fa_support ? FA_COOPMAT1 : FA_SCALAR; @@ -3081,7 +3091,7 @@ static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_ if (path == FA_COOPMAT1) { bool shape_ok = (f32acc && device->coopmat_support_16x16x16_f32acc) || (!f32acc && device->coopmat_support_16x16x16_f16acc); - const vk_fa_tuning_params params = get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc); + const vk_fa_tuning_params params = get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, k_type, v_type, f32acc); bool shmem_ok = ggml_vk_flash_attn_coopmat_shmem_support(device, params, hsk, hsv, f32acc); if (!shape_ok || !shmem_ok) { @@ -3094,20 +3104,25 @@ static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_ path = FA_SCALAR; } + // Q1_0 K/V is only implemented on coopmat2 (flash_attn_cm2); there is no scalar FA shader for it. + if ((k_type == GGML_TYPE_Q1_0 || v_type == GGML_TYPE_Q1_0) && device->coopmat2) { + path = FA_COOPMAT2; + } + switch (path) { case FA_SCALAR: - return get_fa_tuning_params_scalar(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc); + return get_fa_tuning_params_scalar(device, hsk, hsv, n_rows, n_kv, k_type, v_type, f32acc); case FA_COOPMAT1: - return get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc); + return get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, k_type, v_type, f32acc); case FA_COOPMAT2: - return get_fa_tuning_params_coopmat2(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc); + return get_fa_tuning_params_coopmat2(device, hsk, hsv, n_rows, n_kv, k_type, v_type, f32acc); default: throw std::runtime_error("unsupported FaCodePath"); } } static vk_fa_pipeline_state get_fa_pipeline_state(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool aligned, bool f32acc, - bool use_mask, bool use_mask_opt, bool use_logit_softcap) { + bool use_mask, bool use_mask_opt, bool use_logit_softcap, ggml_type k_type, ggml_type v_type) { const bool old_amd_windows = device->vendor_id == VK_VENDOR_ID_AMD && device->driver_id == vk::DriverId::eAmdProprietary && (device->architecture == AMD_GCN || device->architecture == AMD_RDNA1 || device->architecture == AMD_RDNA2); @@ -3118,12 +3133,32 @@ static vk_fa_pipeline_state get_fa_pipeline_state(const vk_device& device, const const uint32_t subgroup_size = params.disable_subgroups ? 0 : params.subgroup_size; - return vk_fa_pipeline_state{hsk, hsv, params.block_rows, params.block_cols, params.d_split, params.row_split, params.shmem_staging, params.path, params.workgroup_size, subgroup_size, aligned, f32acc, flags, params.limit_occupancy_shmem}; + return vk_fa_pipeline_state{hsk, hsv, params.block_rows, params.block_cols, params.d_split, params.row_split, params.shmem_staging, params.path, params.workgroup_size, subgroup_size, aligned, f32acc, flags, params.limit_occupancy_shmem, k_type, v_type}; } static std::vector get_fa_spec_constants(const vk_fa_pipeline_state& state) { - return {state.workgroup_size, state.Br, state.Bc, state.HSK, state.HSV, !state.aligned, state.D_split, - state.row_split, state.subgroup_size, state.shmem_staging ? 1u : 0u, state.flags, state.limit_occupancy_shmem}; + const auto fa_block_bytes = [](ggml_type t) -> uint32_t { + // decodeBufF32 uses a block of vec4s for a better memory access pattern. + return t == GGML_TYPE_F32 ? 16u : (uint32_t) ggml_type_size(t); + }; + return { + /* 0 WorkGroupSize */ state.workgroup_size, + /* 1 Br */ state.Br, + /* 2 Bc */ state.Bc, + /* 3 HSK */ state.HSK, + /* 4 HSV */ state.HSV, + /* 5 Clamp */ static_cast(!state.aligned), + /* 6 D_split */ state.D_split, + /* 7 row_split */ state.row_split, + /* 8 SubGroupSize */ state.subgroup_size, + /* 9 SHMEM_STAGING */ state.shmem_staging ? 1u : 0u, + /*10 Flags */ state.flags, + /*11 LIMIT_OCCUPANCY_SHMEM */ state.limit_occupancy_shmem, + /*12 FaTypeK */ static_cast(state.k_type), + /*13 FaTypeV */ static_cast(state.v_type), + /*14 FaBlockBytesK */ fa_block_bytes(state.k_type), + /*15 FaBlockBytesV */ fa_block_bytes(state.v_type), + }; } static bool ggml_vk_matmul_shmem_support(const vk_device& device, const std::vector& warptile, bool mul_mat_id, ggml_type src0_type) { @@ -3181,6 +3216,70 @@ static bool ggml_vk_matmul_shmem_support(const vk_device& device, const std::vec return supported; } +// Shmem usage for the q8_1 mmq shader (mul_mmq.comp), which uses +// block_a_cache / block_b_cache layouts (see mul_mmq_shmem_types.glsl) rather +// than the float load buffers checked by ggml_vk_matmul_shmem_support. +// Sizes follow std430 rules. Returns false for types without a q8_1 pipeline. +static bool ggml_vk_matmul_int_shmem_support(const vk_device& device, const std::vector& warptile, bool mul_mat_id, ggml_type src0_type) { + + // FLOAT_TYPE in the shader is float16_t with fp16 support, otherwise float. + const uint32_t fp_size = device->fp16 ? 2u : 4u; + const uint32_t fp_align = fp_size; + const uint32_t fp2_size = 2u * fp_size; + const uint32_t fp2_align = device->fp16 ? 4u : 8u; + + struct member { uint32_t size, align; }; + auto std430_size = [](std::initializer_list members) { + uint32_t off = 0, struct_align = 1; + for (const auto &m : members) { + off = (off + m.align - 1) & ~(m.align - 1); + off += m.size; + struct_align = std::max(struct_align, m.align); + } + return (off + struct_align - 1) & ~(struct_align - 1); + }; + + uint32_t block_a_size = 0; + switch (src0_type) { + case GGML_TYPE_Q4_0: block_a_size = std430_size({{16, 4}, {fp_size, fp_align}}); break; // qs[16/4] + dm + case GGML_TYPE_Q4_1: block_a_size = std430_size({{16, 4}, {fp2_size, fp2_align}}); break; // qs[16/4] + dm(vec2) + case GGML_TYPE_Q5_0: block_a_size = std430_size({{16, 4}, {4, 4}, {fp_size, fp_align}}); break; // qs[16/4] + qh + dm + case GGML_TYPE_Q5_1: block_a_size = std430_size({{16, 4}, {4, 4}, {fp2_size, fp2_align}}); break; // qs[16/4] + qh + dm(vec2) + case GGML_TYPE_Q8_0: block_a_size = std430_size({{32, 4}, {fp_size, fp_align}}); break; // qs[8] + dm + case GGML_TYPE_MXFP4: block_a_size = std430_size({{32, 4}, {fp_size, fp_align}}); break; // qs[8] + d + case GGML_TYPE_Q2_K: block_a_size = std430_size({{ 8, 4}, {2, 2}, {fp2_size, fp2_align}}); break; // qs[2] + scales(u8vec2) + dm(vec2) + case GGML_TYPE_Q3_K: block_a_size = std430_size({{16, 4}, {fp2_size, fp2_align}}); break; // qs[4] + d_scales(vec2) + case GGML_TYPE_Q4_K: block_a_size = std430_size({{16, 4}, {fp2_size, fp2_align}}); break; // qs[4] + dm(vec2) + case GGML_TYPE_Q5_K: block_a_size = std430_size({{32, 4}, {fp2_size, fp2_align}}); break; // qs[8] + dm(vec2) + case GGML_TYPE_Q6_K: block_a_size = std430_size({{32, 4}, {fp2_size, fp2_align}}); break; // qs[8] + d_scales(vec2) + default: + return false; + } + + // block_b_cache: { int32_t qs[8]; FLOAT_TYPEV2 ds; } + const uint32_t block_b_size = std430_size({{32, 4}, {fp2_size, fp2_align}}); + + const uint32_t BM = warptile[1]; + const uint32_t BN = warptile[2]; + // mul_mmq.comp: BK_STEP=1 for MUL_MAT_ID, 4 otherwise. + const uint32_t BK_STEP = mul_mat_id ? 1u : 4u; + + const uint32_t buf_a_size = BM * BK_STEP * block_a_size; + const uint32_t buf_b_size = BN * BK_STEP * block_b_size; + const uint32_t mmid_row_ids = mul_mat_id ? (BN * 2u * (uint32_t)sizeof(uint16_t)) : 0u; + + const uint32_t warps = warptile[0] / warptile[10]; + const uint32_t ballots_sh = mul_mat_id ? (warps * 4u * (uint32_t)sizeof(uint32_t)) : 0u; + + const uint32_t total_size = buf_a_size + buf_b_size + mmid_row_ids + ballots_sh; + const bool supported = total_size <= device->properties.limits.maxComputeSharedMemorySize; + + VK_LOG_DEBUG("ggml_vk_matmul_int_shmem_support(warptile=(" << warptile[0] << "," << warptile[1] << "," << warptile[2] << "), " + "mul_mat_id=" << mul_mat_id << ", src0_type=" << ggml_type_name(src0_type) << ", total=" << total_size << ", supported=" << supported); + + return supported; +} + struct GpuPipelineConfig { // GPU architecture identifier. // Example: vk_device_architecture::AMD_GCN @@ -3248,6 +3347,20 @@ static uint32_t get_subgroup_size(const std::string &pipeline_name, const vk_dev return 0; // If no matching configuration is found } +// Whether scalar flash attention will use the MMQ path for the given k_type. +static bool ggml_vk_fa_scalar_uses_mmq(const vk_device& device, ggml_type k_type) { +#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT) + return device->integer_dot_product && device->subgroup_clustered && + (k_type == GGML_TYPE_Q4_0 || k_type == GGML_TYPE_Q4_1 || + k_type == GGML_TYPE_Q5_0 || k_type == GGML_TYPE_Q5_1 || + k_type == GGML_TYPE_Q8_0); +#else + GGML_UNUSED(device); + GGML_UNUSED(k_type); + return false; +#endif +} + static void ggml_vk_load_shaders(vk_device& device) { VK_LOG_DEBUG("ggml_vk_load_shaders(" << device->name << ")"); @@ -3413,6 +3526,40 @@ static void ggml_vk_load_shaders(vk_device& device) { } else if (!ggml_vk_matmul_shmem_support(device, l_warptile_mmqid, true, t)) { device->mul_mat_id_l[i] = false; } + + // The q8_1 mmq path has its own (larger) shmem layout, check it separately. + // K-quants use the _int_k warptiles, others use _int. + const bool is_k_quant = (t == GGML_TYPE_Q2_K || t == GGML_TYPE_Q3_K || + t == GGML_TYPE_Q4_K || t == GGML_TYPE_Q5_K || + t == GGML_TYPE_Q6_K); + const auto & s_int = is_k_quant ? s_warptile_mmq_int_k : s_warptile_mmq_int; + const auto & m_int = is_k_quant ? m_warptile_mmq_int_k : m_warptile_mmq_int; + const auto & l_int = is_k_quant ? l_warptile_mmq_int_k : l_warptile_mmq_int; + const auto & s_intid = is_k_quant ? s_warptile_mmqid_int_k : s_warptile_mmqid_int; + const auto & m_intid = is_k_quant ? m_warptile_mmqid_int_k : m_warptile_mmqid_int; + const auto & l_intid = is_k_quant ? l_warptile_mmqid_int_k : l_warptile_mmqid_int; + + if (!ggml_vk_matmul_int_shmem_support(device, s_int, false, t)) { + device->mul_mat_s_int[i] = false; + device->mul_mat_m_int[i] = false; + device->mul_mat_l_int[i] = false; + } else if (!ggml_vk_matmul_int_shmem_support(device, m_int, false, t)) { + device->mul_mat_m_int[i] = false; + device->mul_mat_l_int[i] = false; + } else if (!ggml_vk_matmul_int_shmem_support(device, l_int, false, t)) { + device->mul_mat_l_int[i] = false; + } + + if (!ggml_vk_matmul_int_shmem_support(device, s_intid, true, t)) { + device->mul_mat_id_s_int[i] = false; + device->mul_mat_id_m_int[i] = false; + device->mul_mat_id_l_int[i] = false; + } else if (!ggml_vk_matmul_int_shmem_support(device, m_intid, true, t)) { + device->mul_mat_id_m_int[i] = false; + device->mul_mat_id_l_int[i] = false; + } else if (!ggml_vk_matmul_int_shmem_support(device, l_intid, true, t)) { + device->mul_mat_id_l_int[i] = false; + } } } @@ -3494,102 +3641,96 @@ static void ggml_vk_load_shaders(vk_device& device) { align, disable_robustness, require_full_subgroups, required_subgroup_size); }; -#define CREATE_FA(TYPE, NAMELC, FAPATH, SUFFIX) \ - for (auto &fa : device->pipeline_flash_attn_f32_f16[TYPE]) { \ - FaCodePath path = fa.first.path; \ - uint32_t Br = fa.first.Br; \ - uint32_t Bc = fa.first.Bc; \ - bool aligned = fa.first.aligned; \ - bool f32acc = fa.first.f32acc; \ - uint32_t fa_sgs = fa.first.subgroup_size; \ - bool fa_ds = fa.first.subgroup_size == 0; \ - if (path == FAPATH) { \ - if (aligned) { \ - if (f32acc) { \ - ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_aligned_f32acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ## SUFFIX ## _len, flash_attn_f32_f16_ ## NAMELC ## SUFFIX ## _data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), Bc, true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0)); \ - } else { \ - ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_aligned_f16acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _len, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), Bc, true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0)); \ - } \ - } else { \ - if (f32acc) { \ - ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_f32acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ## SUFFIX ## _len, flash_attn_f32_f16_ ## NAMELC ## SUFFIX ## _data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), 1, true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0)); \ - } else { \ - ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_f16acc" #NAMELC, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _len, flash_attn_f32_f16_ ## NAMELC ## _f16acc ## SUFFIX ## _data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), 1, true, (!fa_ds && (FAPATH!=FA_COOPMAT2)), ((!fa_ds && (FAPATH!=FA_COOPMAT2)) ? fa_sgs : 0)); \ - } \ - } \ - } \ - } + // FA scalar has two SPIR-V modules (MMQ vs non-MMQ); FA cm1 has one. K/V + // quant type is selected at runtime via the FaTypeK / FaTypeV spec constants. - if (device->fp16) { - CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, ) - CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, ) + for (auto &fa : device->pipeline_flash_attn_f32_f16) { + if (fa.first.path != FA_SCALAR) continue; + const uint32_t Br = fa.first.Br; + const uint32_t Bc = fa.first.Bc; + const bool aligned = fa.first.aligned; + const bool f32acc = fa.first.f32acc; + const uint32_t fa_sgs = fa.first.subgroup_size; + const bool fa_ds = fa.first.subgroup_size == 0; + const bool use_mmq = ggml_vk_fa_scalar_uses_mmq(device, fa.first.k_type); + const void * spv_data = nullptr; + size_t spv_size = 0; + if (use_mmq) { #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT) - if (device->integer_dot_product && device->subgroup_clustered) { - CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, _int8) - CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, _int8) - CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_SCALAR, _int8) - CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_SCALAR, _int8) - CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_SCALAR, _int8) - CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _int8) - } else + if (device->fp16) { + if (f32acc) { spv_data = flash_attn_f32_f16_int8_data; spv_size = flash_attn_f32_f16_int8_len; } + else { spv_data = flash_attn_f32_f16_f16acc_int8_data; spv_size = flash_attn_f32_f16_f16acc_int8_len; } + } else { + spv_data = flash_attn_f32_f16_fp32_int8_data; + spv_size = flash_attn_f32_f16_fp32_int8_len; + } #endif - { - CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, ) - CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, ) - CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_SCALAR, ) - CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_SCALAR, ) - CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_SCALAR, ) - CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, ) - } - } else { - CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, _fp32) - CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, _fp32) - -#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT) - if (device->integer_dot_product && device->subgroup_clustered) { - CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, _fp32_int8) - CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, _fp32_int8) - CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_SCALAR, _fp32_int8) - CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_SCALAR, _fp32_int8) - CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_SCALAR, _fp32_int8) - CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _fp32_int8) - } else -#endif - { - CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, _fp32) - CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, _fp32) - CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_SCALAR, _fp32) - CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_SCALAR, _fp32) - CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_SCALAR, _fp32) - CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _fp32) + } else { + if (device->fp16) { + if (f32acc) { spv_data = flash_attn_f32_f16_data; spv_size = flash_attn_f32_f16_len; } + else { spv_data = flash_attn_f32_f16_f16acc_data; spv_size = flash_attn_f32_f16_f16acc_len; } + } else { + spv_data = flash_attn_f32_f16_fp32_data; + spv_size = flash_attn_f32_f16_fp32_len; + } } + const char *name = aligned ? "flash_attn_f32_f16_aligned" : "flash_attn_f32_f16"; + ggml_vk_create_pipeline(device, fa.second, name, spv_size, spv_data, "main", 7, + sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, + get_fa_spec_constants(fa.first), aligned ? Bc : 1, true, + !fa_ds, !fa_ds ? fa_sgs : 0); } + #if defined(VK_KHR_cooperative_matrix) && defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT) if (device->coopmat1_fa_support) { - CREATE_FA(GGML_TYPE_F32, f32, FA_COOPMAT1, _cm1) - CREATE_FA(GGML_TYPE_F16, f16, FA_COOPMAT1, _cm1) - CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_COOPMAT1, _cm1) - CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_COOPMAT1, _cm1) - CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_COOPMAT1, _cm1) - CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_COOPMAT1, _cm1) - CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_COOPMAT1, _cm1) - CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_COOPMAT1, _cm1) + for (auto &fa : device->pipeline_flash_attn_f32_f16) { + if (fa.first.path != FA_COOPMAT1) continue; + const uint32_t Br = fa.first.Br; + const uint32_t Bc = fa.first.Bc; + const bool aligned = fa.first.aligned; + const bool f32acc = fa.first.f32acc; + const uint32_t fa_sgs = fa.first.subgroup_size; + const bool fa_ds = fa.first.subgroup_size == 0; + + const void * spv_data; + size_t spv_size; + if (f32acc) { spv_data = flash_attn_f32_f16_cm1_data; spv_size = flash_attn_f32_f16_cm1_len; } + else { spv_data = flash_attn_f32_f16_f16acc_cm1_data; spv_size = flash_attn_f32_f16_f16acc_cm1_len; } + const char *name = aligned ? "flash_attn_f32_f16_aligned_cm1" : "flash_attn_f32_f16_cm1"; + ggml_vk_create_pipeline(device, fa.second, name, spv_size, spv_data, "main", 7, + sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, + get_fa_spec_constants(fa.first), aligned ? Bc : 1, true, + !fa_ds, !fa_ds ? fa_sgs : 0); + } } #endif + #if defined(VK_NV_cooperative_matrix2) && defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT) if (device->coopmat2) { - CREATE_FA(GGML_TYPE_F32, f32, FA_COOPMAT2, _cm2) - CREATE_FA(GGML_TYPE_F16, f16, FA_COOPMAT2, _cm2) - CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_COOPMAT2, _cm2) - CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_COOPMAT2, _cm2) - CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_COOPMAT2, _cm2) - CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_COOPMAT2, _cm2) - CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_COOPMAT2, _cm2) - CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_COOPMAT2, _cm2) + for (auto &fa : device->pipeline_flash_attn_f32_f16) { + if (fa.first.path != FA_COOPMAT2) continue; + const uint32_t Br = fa.first.Br; + const uint32_t Bc = fa.first.Bc; + const bool aligned = fa.first.aligned; + const bool f32acc = fa.first.f32acc; + + const void * spv_data; + size_t spv_size; + const char * name; + if (aligned) { + if (f32acc) { spv_data = flash_attn_f32_f16_cm2_data; spv_size = flash_attn_f32_f16_cm2_len; name = "flash_attn_f32_f16_aligned_f32acc_cm2"; } + else { spv_data = flash_attn_f32_f16_f16acc_cm2_data; spv_size = flash_attn_f32_f16_f16acc_cm2_len; name = "flash_attn_f32_f16_aligned_f16acc_cm2"; } + } else { + if (f32acc) { spv_data = flash_attn_f32_f16_cm2_data; spv_size = flash_attn_f32_f16_cm2_len; name = "flash_attn_f32_f16_f32acc_cm2"; } + else { spv_data = flash_attn_f32_f16_f16acc_cm2_data; spv_size = flash_attn_f32_f16_f16acc_cm2_len; name = "flash_attn_f32_f16_f16acc_cm2"; } + } + ggml_vk_create_pipeline(device, fa.second, name, spv_size, spv_data, "main", 7, + sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, + get_fa_spec_constants(fa.first), aligned ? Bc : 1, true, false, 0); + } } #endif -#undef CREATE_FA const int mul_mat_id_param_count = 5; @@ -4119,11 +4260,6 @@ static void ggml_vk_load_shaders(vk_device& device) { m_wg_denoms = { 64, 64, 1 }; s_wg_denoms = { 32, 32, 1 }; - if (device->vendor_id == VK_VENDOR_ID_INTEL && device->architecture == INTEL_XE2) { - // Xe2/Xe3 - bf16 warptile performance tuning - l_warptile = { 512, 128, 128, 16, subgroup_size_8, 32, 2, 4, 4, 1, subgroup_size_8 }; - } - CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_bf16, matmul_bf16, , wg_denoms, warptile, vk_mat_mat_push_constants, 3, , 0); CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_bf16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0); } @@ -5548,19 +5684,19 @@ static vk_device ggml_vk_get_device(size_t idx) { device->mul_mat_id_m[i] = true; device->mul_mat_id_s[i] = true; break; - case VK_VENDOR_ID_INTEL: - if (!device->coopmat_support || device->architecture != INTEL_XE2) { - device->mul_mat_l[i] = false; - device->mul_mat_id_l[i] = false; - } else { - device->mul_mat_l[i] = true; // if coopmat & XE2+, allow large matmul warptile config for Intel - device->mul_mat_id_l[i] = true; - } + case VK_VENDOR_ID_INTEL: { + // Current Windows driver does not expose BF16 support. + // We only want to use l_warptile if coopmat is available and is Xe2+ + const bool xe2_with_coopmat = device->coopmat_support && device->architecture == INTEL_XE2; + const bool use_l_warptile = (i == GGML_TYPE_BF16) ? (device->coopmat_bf16_support && xe2_with_coopmat) : xe2_with_coopmat; + device->mul_mat_l[i] = use_l_warptile; + device->mul_mat_id_l[i] = use_l_warptile; device->mul_mat_m[i] = true; device->mul_mat_s[i] = true; device->mul_mat_id_m[i] = true; device->mul_mat_id_s[i] = true; break; + } case VK_VENDOR_ID_APPLE: device->mul_mat_l[i] = false; device->mul_mat_m[i] = true; @@ -5579,6 +5715,13 @@ static vk_device ggml_vk_get_device(size_t idx) { device->mul_mat_id_s[i] = true; break; } + + device->mul_mat_l_int[i] = true; + device->mul_mat_m_int[i] = true; + device->mul_mat_s_int[i] = true; + device->mul_mat_id_l_int[i] = true; + device->mul_mat_id_m_int[i] = true; + device->mul_mat_id_s_int[i] = true; } @@ -6845,7 +6988,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont } } -static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) { +static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) { VK_LOG_DEBUG("ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")"); // Check if src is pinned memory vk_buffer buf = nullptr; @@ -6855,7 +6998,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz if (buf != nullptr) { // Memory is pinned, use as staging buffer std::vector slices(1); - if (width == spitch) { + if (width == spitch && width == dpitch) { // Only do single write if stride is equal slices[0].srcOffset = buf_offset; slices[0].dstOffset = offset; @@ -6864,7 +7007,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz slices.resize(height); for (size_t i = 0; i < height; i++) { slices[i].srcOffset = buf_offset + i * spitch; - slices[i].dstOffset = offset + i * width; + slices[i].dstOffset = offset + i * dpitch; slices[i].size = width; } } @@ -6881,21 +7024,30 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz } // Staging buffer required - const size_t copy_size = width*height; - ggml_vk_ensure_sync_staging_buffer(dst->device, copy_size); + const size_t staging_size = width * height; + ggml_vk_ensure_sync_staging_buffer(dst->device, staging_size); vk_buffer& staging_buffer = dst->device->sync_staging; - VkBufferCopy buf_copy = { - 0, - offset, - copy_size}; + std::vector slices(1); + if (width == dpitch) { + slices[0].srcOffset = 0; + slices[0].dstOffset = offset; + slices[0].size = staging_size; + } else { + slices.resize(height); + for (size_t i = 0; i < height; i++) { + slices[i].srcOffset = i * width; + slices[i].dstOffset = offset + i * dpitch; + slices[i].size = width; + } + } ggml_vk_sync_buffers(nullptr, subctx); - vkCmdCopyBuffer(subctx->s->buffer->buf, (VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, 1, &buf_copy); + subctx->s->buffer->buf.copyBuffer((VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, slices); if (width == spitch) { - deferred_memcpy((uint8_t *)staging_buffer->ptr, src, width * height, &subctx->in_memcpys); + deferred_memcpy((uint8_t *)staging_buffer->ptr, src, staging_size, &subctx->in_memcpys); } else { for (size_t i = 0; i < height; i++) { deferred_memcpy((uint8_t *)staging_buffer->ptr + i * width, (const uint8_t *) src + i * spitch, width, &subctx->in_memcpys); @@ -6906,24 +7058,24 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz static bool ggml_vk_buffer_write_async(vk_context subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, bool sync_staging = false) { VK_LOG_DEBUG("ggml_vk_buffer_write_async(" << size << ")"); - return ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, size, size, 1, sync_staging); + return ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, size, size, size, 1, sync_staging); } -static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) { +static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t dpitch, size_t width, size_t height) { VK_LOG_DEBUG("ggml_vk_buffer_write_2d(" << width << ", " << height << ")"); // Buffer is already mapped if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { GGML_ASSERT(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); + memcpy((uint8_t *)dst->ptr + offset + i * dpitch, (const uint8_t *) src + i * spitch, width); } } else { std::lock_guard guard(dst->device->mutex); vk_context subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue.cmd_pool); ggml_vk_ctx_begin(dst->device, subctx); - bool ret = ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, spitch, width, height, true); + bool ret = ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, spitch, dpitch, width, height, true); GGML_ASSERT(ret); ggml_vk_ctx_end(subctx); @@ -6944,7 +7096,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void * static void ggml_vk_buffer_write(vk_buffer& dst, size_t offset, const void * src, size_t size) { VK_LOG_DEBUG("ggml_vk_buffer_write(" << size << ")"); - ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1); + ggml_vk_buffer_write_2d(dst, offset, src, size, size, size, 1); } static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) { @@ -6990,15 +7142,35 @@ static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size } // Fall back to staging buffer - const size_t copy_size = dpitch * height; - ggml_vk_ensure_sync_staging_buffer(src->device, copy_size); + const size_t staging_size = width * height; + ggml_vk_ensure_sync_staging_buffer(src->device, staging_size); vk_buffer& staging_buffer = src->device->sync_staging; - ggml_vk_sync_buffers(nullptr, subctx); - subctx->s->buffer->buf.copyBuffer(src->buffer, staging_buffer->buffer, slices); + std::vector staging_slices(1); + if (width == spitch) { + staging_slices[0].srcOffset = offset; + staging_slices[0].dstOffset = 0; + staging_slices[0].size = staging_size; + } else { + staging_slices.resize(height); + for (size_t i = 0; i < height; i++) { + staging_slices[i].srcOffset = offset + i * spitch; + staging_slices[i].dstOffset = i * width; + staging_slices[i].size = width; + } + } - deferred_memcpy(dst, staging_buffer->ptr, copy_size, &subctx->out_memcpys); + ggml_vk_sync_buffers(nullptr, subctx); + subctx->s->buffer->buf.copyBuffer(src->buffer, staging_buffer->buffer, staging_slices); + + if (width == dpitch) { + deferred_memcpy(dst, staging_buffer->ptr, staging_size, &subctx->out_memcpys); + } else { + for (size_t i = 0; i < height; i++) { + deferred_memcpy((uint8_t *) dst + i * dpitch, (const uint8_t *) staging_buffer->ptr + i * width, width, &subctx->out_memcpys); + } + } return true; } @@ -7006,8 +7178,8 @@ static bool ggml_vk_buffer_read_async(vk_context subctx, vk_buffer& src, size_t return ggml_vk_buffer_read_2d_async(subctx, src, offset, dst, size, size, size, 1, sync_staging); } -static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_t size) { - VK_LOG_DEBUG("ggml_vk_buffer_read(" << src->buffer << ", " << offset << ", " << size << ")"); +static void ggml_vk_buffer_read_2d(vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height) { + VK_LOG_DEBUG("ggml_vk_buffer_read_2d(" << src->buffer << ", " << offset << ", " << width << ", " << height << ")"); // If the device is not an UMA device the memory is host-accessible through rebar. While writing // through PCIe is sufficient fast reading back data from PCIe is slower than going through @@ -7015,18 +7187,20 @@ static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_ if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible && src->device->uma) { GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); - memcpy(dst, (uint8_t *) src->ptr + offset, size); + for (size_t i = 0; i < height; i++) { + memcpy((uint8_t *) dst + i * dpitch, (const uint8_t *) src->ptr + offset + i * spitch, width); + } } else { std::lock_guard guard(src->device->mutex); vk_context subctx = ggml_vk_create_temporary_context(src->device->transfer_queue.cmd_pool); ggml_vk_ctx_begin(src->device, subctx); - bool ret = ggml_vk_buffer_read_async(subctx, src, offset, dst, size, true); + bool ret = ggml_vk_buffer_read_2d_async(subctx, src, offset, dst, spitch, dpitch, width, height, true); GGML_ASSERT(ret); ggml_vk_ctx_end(subctx); ggml_vk_submit(subctx, src->device->fence); - VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); + VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_read_2d waitForFences"); src->device->device.resetFences({ src->device->fence }); ggml_vk_queue_command_pools_cleanup(src->device); @@ -7036,6 +7210,11 @@ static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_ } } +static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_t size) { + VK_LOG_DEBUG("ggml_vk_buffer_read(" << src->buffer << ", " << offset << ", " << size << ")"); + ggml_vk_buffer_read_2d(src, offset, dst, size, size, size, 1); +} + static void ggml_vk_buffer_copy_async(vk_context& ctx, vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) { VK_LOG_DEBUG("ggml_vk_buffer_copy_async(" << size << ")"); // Make sure both buffers are on same device @@ -7067,7 +7246,7 @@ static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& sr // Copy to src staging buffer ggml_vk_buffer_copy(src->device->sync_staging, 0, src, src_offset, size); // Copy to dst buffer - ggml_vk_buffer_write_2d(dst, dst_offset, src->device->sync_staging->ptr, 0, size, 1); + ggml_vk_buffer_write(dst, dst_offset, src->device->sync_staging->ptr, size); } } @@ -7150,6 +7329,13 @@ static uint32_t ggml_vk_guess_split_k(ggml_backend_vk_context * ctx, uint32_t m, static vk_pipeline ggml_vk_guess_matmul_pipeline(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, uint32_t m, uint32_t n, bool aligned, ggml_type src0_type, ggml_type src1_type) { VK_LOG_DEBUG("ggml_vk_guess_matmul_pipeline(" << m << ", " << n << ", " << aligned << ", " << ggml_type_name(src0_type) << ", " << ggml_type_name(src1_type) << ")"); + // The q8_1 (integer dot) mmq path uses a different shader with its own + // shared-memory layout, so use the int-specific availability flags. + const bool is_q8_1 = (src1_type == GGML_TYPE_Q8_1); + const bool mm_l = is_q8_1 ? ctx->device->mul_mat_l_int[src0_type] : ctx->device->mul_mat_l[src0_type]; + const bool mm_m = is_q8_1 ? ctx->device->mul_mat_m_int[src0_type] : ctx->device->mul_mat_m[src0_type]; + const bool mm_s = is_q8_1 ? ctx->device->mul_mat_s_int[src0_type] : ctx->device->mul_mat_s[src0_type]; + if (ctx->device->coopmat2) { const uint32_t shader_core_count = ctx->device->shader_core_count; const uint32_t tiles_l = CEIL_DIV(m, mmp->a_l->wg_denoms[0]) * CEIL_DIV(n, mmp->a_l->wg_denoms[1]); @@ -7166,26 +7352,24 @@ static vk_pipeline ggml_vk_guess_matmul_pipeline(ggml_backend_vk_context * ctx, // split_k==3 with large tiles likely better than medium tiles with no split_k. (tiles_l <= shader_core_count / 3 && tiles_m > shader_core_count / 2); - if ((ctx->device->mul_mat_l[src0_type] && (n > crossover_large && prefer_large)) || (!ctx->device->mul_mat_m[src0_type] && !ctx->device->mul_mat_s[src0_type])) { + if ((mm_l && (n > crossover_large && prefer_large)) || (!mm_m && !mm_s)) { return aligned ? mmp->a_l : mmp->l; } // Use medium shader when the N dimension is greater than the small shader's tile size uint32_t crossover_medium = mmp->s->wg_denoms[1]; - if ((ctx->device->mul_mat_m[src0_type] && (n > crossover_medium)) || !ctx->device->mul_mat_s[src0_type]) { + if ((mm_m && (n > crossover_medium)) || !mm_s) { return aligned ? mmp->a_m : mmp->m; } return aligned ? mmp->a_s : mmp->s; } - if ((ctx->device->mul_mat_s[src0_type] && (m <= 32 || n <= 32)) || (!ctx->device->mul_mat_m[src0_type] && !ctx->device->mul_mat_l[src0_type])) { + if ((mm_s && (m <= 32 || n <= 32)) || (!mm_m && !mm_l)) { return aligned ? mmp->a_s : mmp->s; } - if ((ctx->device->mul_mat_m[src0_type] && (m <= 64 || n <= 64)) || !ctx->device->mul_mat_l[src0_type]) { + if ((mm_m && (m <= 64 || n <= 64)) || !mm_l) { return aligned ? mmp->a_m : mmp->m; } return aligned ? mmp->a_l : mmp->l; - - GGML_UNUSED(src1_type); } static uint32_t ggml_vk_guess_matmul_pipeline_align(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, int m, int n, ggml_type src0_type, ggml_type src1_type) { @@ -7242,35 +7426,42 @@ static void ggml_vk_matmul( ctx->prealloc_split_k_need_sync = true; } -static vk_pipeline ggml_vk_guess_matmul_id_pipeline(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, uint32_t m, uint32_t n, bool aligned, ggml_type src0_type) { - VK_LOG_DEBUG("ggml_vk_guess_matmul_id_pipeline(" << m << ", " << n << ", " << aligned << ", " << ggml_type_name(src0_type) << ")"); +static vk_pipeline ggml_vk_guess_matmul_id_pipeline(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, uint32_t m, uint32_t n, bool aligned, ggml_type src0_type, ggml_type src1_type) { + VK_LOG_DEBUG("ggml_vk_guess_matmul_id_pipeline(" << m << ", " << n << ", " << aligned << ", " << ggml_type_name(src0_type) << ", " << ggml_type_name(src1_type) << ")"); + + // The q8_1 (integer dot) mmq path uses a different shader with its own + // shared-memory layout, so use the int-specific availability flags. + const bool is_q8_1 = (src1_type == GGML_TYPE_Q8_1); + const bool mm_l = is_q8_1 ? ctx->device->mul_mat_id_l_int[src0_type] : ctx->device->mul_mat_id_l[src0_type]; + const bool mm_m = is_q8_1 ? ctx->device->mul_mat_id_m_int[src0_type] : ctx->device->mul_mat_id_m[src0_type]; + const bool mm_s = is_q8_1 ? ctx->device->mul_mat_id_s_int[src0_type] : ctx->device->mul_mat_id_s[src0_type]; if (ctx->device->coopmat2) { // Use large shader when the N dimension is greater than the medium shader's tile size uint32_t crossover_large = mmp->m->wg_denoms[1]; - if ((ctx->device->mul_mat_id_l[src0_type] && (n > crossover_large)) || (!ctx->device->mul_mat_id_m[src0_type] && !ctx->device->mul_mat_id_s[src0_type])) { + if ((mm_l && (n > crossover_large)) || (!mm_m && !mm_s)) { return aligned ? mmp->a_l : mmp->l; } // Use medium shader when the N dimension is greater than the small shader's tile size uint32_t crossover_medium = mmp->s->wg_denoms[1]; - if ((ctx->device->mul_mat_id_m[src0_type] && (n > crossover_medium)) || !ctx->device->mul_mat_id_s[src0_type]) { + if ((mm_m && (n > crossover_medium)) || !mm_s) { return aligned ? mmp->a_m : mmp->m; } return aligned ? mmp->a_s : mmp->s; } - if ((ctx->device->mul_mat_id_s[src0_type] && (m <= 32 || n <= 32)) || (!ctx->device->mul_mat_id_m[src0_type] && !ctx->device->mul_mat_id_l[src0_type])) { + if ((mm_s && (m <= 32 || n <= 32)) || (!mm_m && !mm_l)) { return aligned ? mmp->a_s : mmp->s; } - if ((ctx->device->mul_mat_id_m[src0_type] && (m <= 64 || n <= 64)) || !ctx->device->mul_mat_id_l[src0_type]) { + if ((mm_m && (m <= 64 || n <= 64)) || !mm_l) { return aligned ? mmp->a_m : mmp->m; } return aligned ? mmp->a_l : mmp->l; } -static uint32_t ggml_vk_guess_matmul_id_pipeline_align(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, int m, int n, ggml_type src0_type) { - VK_LOG_DEBUG("ggml_vk_guess_matmul_pipeline_align(" << m << ", " << n << ", " << ggml_type_name(src0_type) << ")"); - return ggml_vk_guess_matmul_id_pipeline(ctx, mmp, m, n, true, src0_type)->align; +static uint32_t ggml_vk_guess_matmul_id_pipeline_align(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, int m, int n, ggml_type src0_type, ggml_type src1_type) { + VK_LOG_DEBUG("ggml_vk_guess_matmul_pipeline_align(" << m << ", " << n << ", " << ggml_type_name(src0_type) << ", " << ggml_type_name(src1_type) << ")"); + return ggml_vk_guess_matmul_id_pipeline(ctx, mmp, m, n, true, src0_type, src1_type)->align; } static void ggml_vk_matmul_id( @@ -7566,10 +7757,12 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context& sub // Not implemented GGML_ASSERT(y_non_contig || !qy_needs_dequant); // NOLINT - const uint32_t kpad = quantize_y ? 0 : ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ctx, mmp, ne01, ne11, qx_needs_dequant ? f16_type : src0->type, quantize_y ? GGML_TYPE_Q8_1 : (y_f32_kernel ? GGML_TYPE_F32 : src1->type))); + const ggml_type effective_src1_type = quantize_y ? GGML_TYPE_Q8_1 : (y_f32_kernel ? GGML_TYPE_F32 : src1->type); + + const uint32_t kpad = quantize_y ? 0 : ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ctx, mmp, ne01, ne11, qx_needs_dequant ? f16_type : src0->type, effective_src1_type)); const bool aligned = !quantize_y && ne10 == kpad && ne01 > 8 && ne11 > 8; - vk_pipeline pipeline = ggml_vk_guess_matmul_pipeline(ctx, mmp, ne01, ne11, aligned, qx_needs_dequant ? f16_type : src0->type, quantize_y ? GGML_TYPE_Q8_1 : (y_f32_kernel ? GGML_TYPE_F32 : src1->type)); + vk_pipeline pipeline = ggml_vk_guess_matmul_pipeline(ctx, mmp, ne01, ne11, aligned, qx_needs_dequant ? f16_type : src0->type, effective_src1_type); if (ggml_nbytes(src0) > ctx->device->properties.limits.maxStorageBufferRange) { pipeline = ggml_vk_get_64b_indexing_pipeline(ctx, pipeline); @@ -8401,10 +8594,12 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context& // Not implemented GGML_ASSERT(y_non_contig || !qy_needs_dequant); // NOLINT - const uint32_t kpad = quantize_y ? 0 : ggml_vk_align_size(ne10, ggml_vk_guess_matmul_id_pipeline_align(ctx, mmp, ne01, nei1, qx_needs_dequant ? f16_type : src0->type)); + const ggml_type effective_src1_type = quantize_y ? GGML_TYPE_Q8_1 : (y_f32_kernel ? GGML_TYPE_F32 : src1->type); + + const uint32_t kpad = quantize_y ? 0 : ggml_vk_align_size(ne10, ggml_vk_guess_matmul_id_pipeline_align(ctx, mmp, ne01, nei1, qx_needs_dequant ? f16_type : src0->type, effective_src1_type)); const bool aligned = !quantize_y && ne10 == kpad && ne01 > 8 && nei1 > 8; - vk_pipeline pipeline = ggml_vk_guess_matmul_id_pipeline(ctx, mmp, ne01, nei1, aligned, qx_needs_dequant ? f16_type : src0->type); + vk_pipeline pipeline = ggml_vk_guess_matmul_id_pipeline(ctx, mmp, ne01, nei1, aligned, qx_needs_dequant ? f16_type : src0->type, effective_src1_type); if (ggml_nbytes(src0) > ctx->device->properties.limits.maxStorageBufferRange) { pipeline = ggml_vk_get_64b_indexing_pipeline(ctx, pipeline); @@ -8854,8 +9049,9 @@ static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context& subctx } } -static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type kv_type) { +static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type k_type, ggml_type v_type) { GGML_UNUSED(f32acc); + GGML_UNUSED(v_type); // Needs to be kept up to date on shader changes const uint32_t wg_size = params.workgroup_size; const uint32_t Br = params.block_rows; @@ -8863,10 +9059,7 @@ static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, con const uint32_t float_type_size = device->fp16 ? sizeof(ggml_fp16_t) : sizeof(float); - const bool mmq = device->integer_dot_product && device->subgroup_clustered && - (kv_type == GGML_TYPE_Q4_0 || kv_type == GGML_TYPE_Q4_1 || - kv_type == GGML_TYPE_Q5_0 || kv_type == GGML_TYPE_Q5_1 || - kv_type == GGML_TYPE_Q8_0 || kv_type == GGML_TYPE_IQ4_NL); + const bool mmq = ggml_vk_fa_scalar_uses_mmq(device, k_type); // tmpsh is overestimated slightly const uint32_t tmpsh = wg_size * sizeof(float); @@ -8883,17 +9076,10 @@ static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, con // kvsh uses D = HSV (K goes through kblocksh instead) kvsh = params.shmem_staging ? Bc * (hsv / 4 + 1) * 4 * float_type_size : 4 * float_type_size; - // block_a_cache size depends on quant type - uint32_t block_a_size; - switch (kv_type) { - case GGML_TYPE_Q4_0: block_a_size = 4 * sizeof(uint32_t) + float_type_size; break; - case GGML_TYPE_Q4_1: block_a_size = 4 * sizeof(uint32_t) + 2 * float_type_size; break; - case GGML_TYPE_Q5_0: block_a_size = 4 * sizeof(uint32_t) + sizeof(uint32_t) + float_type_size; break; - case GGML_TYPE_Q5_1: block_a_size = 4 * sizeof(uint32_t) + sizeof(uint32_t) + 2 * float_type_size; break; - case GGML_TYPE_Q8_0: - case GGML_TYPE_IQ4_NL: block_a_size = 8 * sizeof(int32_t) + float_type_size; break; - default: block_a_size = 0; break; - } + // The mixed MMQ shader uses a superset block_a_cache that fits every + // FA-supported quant: int32_t qs[8] + uint32_t qh + FLOAT_TYPEV2 dm. + // Single-scale types leave dm.y unused; non-Q5_* leave qh unused. + const uint32_t block_a_size = 8 * sizeof(int32_t) + sizeof(uint32_t) + 2 * float_type_size; kblocksh_size = params.shmem_staging ? Bc * (hsk / 32) * block_a_size : block_a_size; } else { Qf = Br * (hsk / 4 + 1) * 4 * float_type_size; @@ -9006,8 +9192,6 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx assert(dst->type == GGML_TYPE_F32); assert(q->type == GGML_TYPE_F32); - assert(k->type == v->type); - uint32_t gqa_ratio = 1; uint32_t qk_ratio = neq2 / nek2; uint32_t workgroups_x = (uint32_t)neq1; @@ -9018,7 +9202,7 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx // For scalar/coopmat1 FA, we can use the "large" size to accommodate qga. // For coopmat2 FA, we always use the small size (which is still pretty large for gqa). - vk_fa_tuning_params tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, 512, KV, k->type, f32acc); + vk_fa_tuning_params tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, 512, KV, k->type, v->type, f32acc); const uint32_t max_gqa = std::min(tuning_params.block_rows, 32u); if (N <= 8 && qk_ratio > 1 && qk_ratio <= max_gqa && @@ -9031,7 +9215,7 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx workgroups_y /= gqa_ratio; } - tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, N, KV, k->type, f32acc); + tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, N, KV, k->type, v->type, f32acc); const uint32_t q_stride = (uint32_t)(nbq1 / ggml_type_size(q->type)); uint32_t k_stride = (uint32_t)(nbk1 / ggml_type_size(k->type)); @@ -9070,13 +9254,13 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx // Only use mask opt when the mask is fairly large. This hasn't been tuned extensively. bool use_mask_opt = mask && nem1 >= 32 && nem0 * nem1 > 32768 && nem0 >= tuning_params.block_cols * 16; vk_fa_pipeline_state fa_pipeline_state = get_fa_pipeline_state(ctx->device, tuning_params, HSK, HSV, aligned, f32acc, - mask != nullptr, use_mask_opt, logit_softcap != 0); + mask != nullptr, use_mask_opt, logit_softcap != 0, k->type, v->type); vk_pipeline pipeline = nullptr; { std::lock_guard guard(ctx->device->mutex); - auto &pipelines = ctx->device->pipeline_flash_attn_f32_f16[k->type]; + auto &pipelines = ctx->device->pipeline_flash_attn_f32_f16; auto it = pipelines.find(fa_pipeline_state); if (it != pipelines.end()) { pipeline = it->second; @@ -13615,6 +13799,20 @@ static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml ggml_vk_buffer_write(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size); } +static void ggml_backend_vk_buffer_set_tensor_2d(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, + size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) { + VK_LOG_DEBUG("ggml_backend_vk_buffer_set_tensor_2d(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ", " << + n_copies << ", " << stride_tensor << ", " << stride_data << ")"); + ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; + vk_buffer buf = buf_ctx->dev_buffer; + + if (size == 0) { + return; + } + + ggml_vk_buffer_write_2d(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, stride_data, stride_tensor, size, n_copies); +} + static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")"); ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; @@ -13628,6 +13826,21 @@ static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, cons ggml_vk_buffer_read(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size); } +static void ggml_backend_vk_buffer_get_tensor_2d(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, + size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) { + VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor_2d(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ", " << + n_copies << ", " << stride_tensor << ", " << stride_data << ")"); + ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; + + if (size == 0) { + return; + } + + vk_buffer buf = buf_ctx->dev_buffer; + + ggml_vk_buffer_read_2d(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, stride_tensor, stride_data, size, n_copies); +} + static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) { if (ggml_nbytes(src) == 0) { return true; @@ -13662,8 +13875,8 @@ static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = { /* .memset_tensor = */ ggml_backend_vk_buffer_memset_tensor, /* .set_tensor = */ ggml_backend_vk_buffer_set_tensor, /* .get_tensor = */ ggml_backend_vk_buffer_get_tensor, - /* .set_tensor_2d = */ NULL, - /* .get_tensor_2d = */ NULL, + /* .set_tensor_2d = */ ggml_backend_vk_buffer_set_tensor_2d, + /* .get_tensor_2d = */ ggml_backend_vk_buffer_get_tensor_2d, /* .cpy_tensor = */ ggml_backend_vk_buffer_cpy_tensor, /* .clear = */ ggml_backend_vk_buffer_clear, /* .reset = */ NULL, @@ -13819,8 +14032,9 @@ static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_type(ggml_b return &ctx->device->buffer_type; } -static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { - VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")"); +static void ggml_backend_vk_set_tensor_2d_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, + size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) { + VK_LOG_DEBUG("ggml_backend_vk_set_tensor_2d_async(" << size << ", " << n_copies << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); @@ -13834,7 +14048,6 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor if (ctx->device->async_use_transfer_queue) { if (ctx->transfer_ctx.expired()) { - // Initialize new transfer context cpy_ctx = ggml_vk_create_context(ctx, ctx->transfer_cmd_pool); ctx->transfer_ctx = cpy_ctx; ggml_vk_ctx_begin(ctx->device, cpy_ctx); @@ -13849,25 +14062,48 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor auto dst_offset = vk_tensor_offset(tensor) + tensor->view_offs + offset; - bool ret = ggml_vk_buffer_write_async(cpy_ctx, buf, dst_offset, data, size); + bool ret = ggml_vk_buffer_write_2d_async(cpy_ctx, buf, dst_offset, data, stride_data, stride_tensor, size, n_copies); if (!ret) { - ggml_vk_ensure_sync_staging_buffer(ctx, size); + const size_t staging_size = size * n_copies; + ggml_vk_ensure_sync_staging_buffer(ctx, staging_size); ggml_vk_sync_buffers(nullptr, cpy_ctx); - vk::BufferCopy buffer_cpy; - buffer_cpy.srcOffset = 0; - buffer_cpy.dstOffset = dst_offset; - buffer_cpy.size = size; + std::vector slices(1); + if (size == stride_tensor) { + slices[0].srcOffset = 0; + slices[0].dstOffset = dst_offset; + slices[0].size = staging_size; + } else { + slices.resize(n_copies); + for (size_t i = 0; i < n_copies; i++) { + slices[i].srcOffset = i * size; + slices[i].dstOffset = dst_offset + i * stride_tensor; + slices[i].size = size; + } + } - cpy_ctx->s->buffer->buf.copyBuffer(ctx->sync_staging->buffer, buf->buffer, { buffer_cpy }); - deferred_memcpy(ctx->sync_staging->ptr, data, size, &cpy_ctx->in_memcpys); + cpy_ctx->s->buffer->buf.copyBuffer(ctx->sync_staging->buffer, buf->buffer, slices); + + if (size == stride_data) { + deferred_memcpy(ctx->sync_staging->ptr, data, staging_size, &cpy_ctx->in_memcpys); + } else { + for (size_t i = 0; i < n_copies; i++) { + deferred_memcpy((uint8_t *)ctx->sync_staging->ptr + i * size, (const uint8_t *)data + i * stride_data, size, &cpy_ctx->in_memcpys); + } + } ggml_vk_synchronize(ctx); } } -static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { - VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")"); +static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { + VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")"); + ggml_backend_vk_set_tensor_2d_async(backend, tensor, data, offset, size, 1, size, size); +} + +static void ggml_backend_vk_get_tensor_2d_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, + size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) { + VK_LOG_DEBUG("ggml_backend_vk_get_tensor_2d_async(" << size << ", " << n_copies << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); @@ -13882,24 +14118,45 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_ vk_buffer buf = buf_ctx->dev_buffer; auto src_offset = vk_tensor_offset(tensor) + tensor->view_offs + offset; - bool ret = ggml_vk_buffer_read_async(compute_ctx, buf, src_offset, data, size); + bool ret = ggml_vk_buffer_read_2d_async(compute_ctx, buf, src_offset, data, stride_tensor, stride_data, size, n_copies); - // If that failed, copy synchronously through a staging buffer if (!ret) { - ggml_vk_ensure_sync_staging_buffer(ctx, size); + const size_t staging_size = size * n_copies; + ggml_vk_ensure_sync_staging_buffer(ctx, staging_size); ggml_vk_sync_buffers(nullptr, compute_ctx); - vk::BufferCopy buffer_cpy; - buffer_cpy.srcOffset = src_offset; - buffer_cpy.dstOffset = 0; - buffer_cpy.size = size; + std::vector slices(1); + if (size == stride_tensor) { + slices[0].srcOffset = src_offset; + slices[0].dstOffset = 0; + slices[0].size = staging_size; + } else { + slices.resize(n_copies); + for (size_t i = 0; i < n_copies; i++) { + slices[i].srcOffset = src_offset + i * stride_tensor; + slices[i].dstOffset = i * size; + slices[i].size = size; + } + } - compute_ctx->s->buffer->buf.copyBuffer(buf->buffer, ctx->sync_staging->buffer, { buffer_cpy }); - deferred_memcpy(data, ctx->sync_staging->ptr, size, &compute_ctx->out_memcpys); + compute_ctx->s->buffer->buf.copyBuffer(buf->buffer, ctx->sync_staging->buffer, slices); + + if (size == stride_data) { + deferred_memcpy(data, ctx->sync_staging->ptr, staging_size, &compute_ctx->out_memcpys); + } else { + for (size_t i = 0; i < n_copies; i++) { + deferred_memcpy((uint8_t *)data + i * stride_data, (const uint8_t *)ctx->sync_staging->ptr + i * size, size, &compute_ctx->out_memcpys); + } + } ggml_vk_synchronize(ctx); } } +static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { + VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")"); + ggml_backend_vk_get_tensor_2d_async(backend, tensor, data, offset, size, 1, size, size); +} + static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) { VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async(" << src << " -> " << dst << ", size=" << ggml_nbytes(src) << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend_dst->context; @@ -15123,8 +15380,8 @@ static ggml_backend_i ggml_backend_vk_interface = { /* .free = */ ggml_backend_vk_free, /* .set_tensor_async = */ ggml_backend_vk_set_tensor_async, /* .get_tensor_async = */ ggml_backend_vk_get_tensor_async, - /* .get_tensor_2d_async = */ NULL, - /* .set_tensor_2d_async = */ NULL, + /* .set_tensor_2d_async = */ ggml_backend_vk_set_tensor_2d_async, + /* .get_tensor_2d_async = */ ggml_backend_vk_get_tensor_2d_async, /* .cpy_tensor_async = */ ggml_backend_vk_cpy_tensor_async, /* .synchronize = */ ggml_backend_vk_synchronize, /* .graph_plan_create = */ NULL, @@ -15481,38 +15738,23 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm if (op->src[3] && op->src[3]->type != GGML_TYPE_F16) { return false; } - // It's straightforward to support different K/V dequant, but would - // significantly increase the number of pipelines - if (op->src[1]->type != op->src[2]->type) { - return false; - } - switch (op->src[1]->type) { - case GGML_TYPE_F16: - case GGML_TYPE_F32: - case GGML_TYPE_Q4_0: - case GGML_TYPE_Q8_0: - case GGML_TYPE_Q4_1: - case GGML_TYPE_Q5_0: - case GGML_TYPE_Q5_1: - case GGML_TYPE_IQ4_NL: - // supported in scalar and coopmat2 paths - break; - // K dequants currently disabled because D dimension is rounded up to 256 and runs inefficiently - //case GGML_TYPE_Q2_K: - //case GGML_TYPE_Q3_K: - //case GGML_TYPE_Q4_K: - //case GGML_TYPE_Q5_K: - //case GGML_TYPE_Q6_K: - //case GGML_TYPE_IQ1_S: - //case GGML_TYPE_IQ1_M: - //case GGML_TYPE_IQ2_XXS: - //case GGML_TYPE_IQ2_XS: - //case GGML_TYPE_IQ2_S: - //case GGML_TYPE_IQ3_XXS: - //case GGML_TYPE_IQ3_S: - //case GGML_TYPE_IQ4_XS: - - default: + auto fa_kv_ok = [coopmat2](ggml_type t) { + switch (t) { + case GGML_TYPE_F32: + case GGML_TYPE_F16: + case GGML_TYPE_Q8_0: + case GGML_TYPE_Q5_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q4_0: + return true; + case GGML_TYPE_Q1_0: + return coopmat2; + default: + return false; + } + }; + if (!fa_kv_ok(op->src[1]->type) || !fa_kv_ok(op->src[2]->type)) { return false; } if (!coopmat2 && !(device->subgroup_shuffle && device->subgroup_vote)) { diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp index 6e6bdabc92..6ac095489b 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp @@ -22,6 +22,7 @@ #include "types.glsl" #include "flash_attn_base.glsl" +#include "flash_attn_dequant.glsl" const uint32_t HSK_per_thread = HSK / D_split; const uint32_t HSV_per_thread = HSV / D_split; @@ -128,18 +129,20 @@ void main() { Qf[buf_ib].qs[buf_iqs] = pack32(i8vec4(vals)); -#if defined(DATA_A_Q8_0) || defined(DATA_A_IQ4_NL) - if (buf_iqs == 0) { - Qf[buf_ib].ds = FLOAT_TYPEV2(qd, 0.0); - } -#else // Q4_0, Q4_1, Q5_0, Q5_1 - const FLOAT_TYPE thread_sum = vals.x + vals.y + vals.z + vals.w; - const FLOAT_TYPE sum = subgroupClusteredAdd(thread_sum, 8); + // Q8_0 K only needs (qd, _); the asymmetric Q4_*/Q5_* family also stores + // the row-sum scaled by qd, used in k_dot_correction. + if (FaTypeK == FA_TYPE_Q8_0) { + if (buf_iqs == 0) { + Qf[buf_ib].ds = FLOAT_TYPEV2(qd, 0.0); + } + } else { + const FLOAT_TYPE thread_sum = vals.x + vals.y + vals.z + vals.w; + const FLOAT_TYPE sum = subgroupClusteredAdd(thread_sum, 8); - if (buf_iqs == 0) { - Qf[buf_ib].ds = FLOAT_TYPEV2(qd, sum * qd); + if (buf_iqs == 0) { + Qf[buf_ib].ds = FLOAT_TYPEV2(qd, sum * qd); + } } -#endif #endif } barrier(); @@ -177,13 +180,9 @@ void main() { // mo_offset will point to the tile starting at row i*Br and col 0 uint32_t mo_offset = mo_stride * i; -#if BLOCK_SIZE > 1 - uint32_t k_offset = (ik2*p.nb12 + ik3*p.nb13) / BLOCK_BYTE_SIZE; - uint32_t v_offset = (iv2*p.nb22 + iv3*p.nb23) / BLOCK_BYTE_SIZE; -#else - uint32_t k_offset = (ik2*p.nb12 + ik3*p.nb13) / 2; - uint32_t v_offset = (iv2*p.nb22 + iv3*p.nb23) / 2; -#endif + // FaBlockBytesK/V == 2 for f16, 16 for f32, ggml block byte size for quants. + uint32_t k_offset = (ik2*p.nb12 + ik3*p.nb13) / FaBlockBytesK; + uint32_t v_offset = (iv2*p.nb22 + iv3*p.nb23) / FaBlockBytesV; uint32_t m_offset = gqa_iq1*KV; if (p.nem2 != 1 || p.nem3 != 1) { m_offset += ((iq3 % p.nem3) * p.nem2 + (iq2 % p.nem2)) * p.nem1 * KV; @@ -257,21 +256,21 @@ void main() { if (idx + gl_WorkGroupSize.x <= Bc * HSK / 4 || c < Bc) { FLOAT_TYPEV4 K_Tf = FLOAT_TYPEV4(0); if (!KV_bounds_check || j * Bc + c < KV) { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + c) * k_stride * BLOCK_SIZE + 4 * d; - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); - K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); -#else - K_Tf = FLOAT_TYPEV4(data_kv4[k_offset / 4 + (j * Bc + c) * k_stride / 4 + d]); -#endif + if (USE_DECODE_K) { + uint coord = (j * Bc + c) * k_stride * BLOCK_SIZE_K + 4 * d; + uint ib = coord / BLOCK_SIZE_K; + uint iqs = (coord % BLOCK_SIZE_K); + K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); + } else { + K_Tf = FLOAT_TYPEV4(data_kv4[k_offset / 4 + (j * Bc + c) * k_stride / 4 + d]); + } } kvsh[c * kvsh_stride + d] = K_Tf; } } #else // MMQ - const uint ints_per_block = 8 / QUANT_R_MMQ; + const uint ints_per_block = 8u / fa_quant_r_mmq(FaTypeK); const uint quant_iters = Bc * HSK / 32 * ints_per_block; [[unroll]] for (uint32_t idx = 0; idx < quant_iters; idx += gl_WorkGroupSize.x) { const uint32_t iqs = (idx + tid) % ints_per_block; @@ -310,15 +309,13 @@ void main() { FLOAT_TYPEV4 K_Tf; if (SHMEM_STAGING != 0) { K_Tf = kvsh[(c * cols_per_iter + col_tid) * kvsh_stride + (d * D_split + d_tid)]; - } else { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid); - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); + } else if (USE_DECODE_K) { + uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE_K + 4 * (d * D_split + d_tid); + uint ib = coord / BLOCK_SIZE_K; + uint iqs = (coord % BLOCK_SIZE_K); K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); -#else + } else { K_Tf = FLOAT_TYPEV4(data_kv4[k_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * k_stride / 4 + d * D_split + d_tid]); -#endif } [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) { Sf[r][c] += dot(ACC_TYPEV4(Q_cache[r]), ACC_TYPEV4(K_Tf)); @@ -335,15 +332,13 @@ void main() { FLOAT_TYPEV4 K_Tf; if (SHMEM_STAGING != 0) { K_Tf = kvsh[(c * cols_per_iter + col_tid) * kvsh_stride + (d * D_split + d_tid)]; - } else { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid); - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); + } else if (USE_DECODE_K) { + uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE_K + 4 * (d * D_split + d_tid); + uint ib = coord / BLOCK_SIZE_K; + uint iqs = (coord % BLOCK_SIZE_K); K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); -#else + } else { K_Tf = FLOAT_TYPEV4(data_kv4[k_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * k_stride / 4 + d * D_split + d_tid]); -#endif } [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) { Sf[r][c] += dot(ACC_TYPEV4(Qf[tile_row(r) * qf_stride + d * D_split + d_tid]), ACC_TYPEV4(K_Tf)); @@ -366,72 +361,47 @@ void main() { int32_t k_quants[d_per_step]; ACC_TYPEV2 k_dm; + // Q4_*/Q5_* take the block-8 fast path when one step covers a full + // block; Q8_0 always goes through the per-int get_k_qs* helpers + // (its qs is byte-packed, not nibble-packed). + const bool block8_fast = (d_per_step == 8) && (FaTypeK != FA_TYPE_Q8_0); + if (SHMEM_STAGING != 0) { const uint k_block_idx = (d_tid * (HSK_per_thread / 4) + d_block) / 8; const uint buf_ib = (c * cols_per_iter + col_tid) * qf_stride + k_block_idx; -#if QUANT_AUXF == 1 - k_dm = ACC_TYPEV2(kblocksh[buf_ib].dm, 0.0); -#else k_dm = ACC_TYPEV2(kblocksh[buf_ib].dm); -#endif -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) || defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1) - if (d_per_step == 8) { + if (block8_fast) { + const bool has_qh = (FaTypeK == FA_TYPE_Q5_0) || (FaTypeK == FA_TYPE_Q5_1); [[unroll]] for (uint32_t d = 0; d < 4; d++) { uint vui = kblocksh[buf_ib].qs[d]; k_quants[d ] = int32_t( vui & 0x0F0F0F0F); k_quants[d + 4] = int32_t((vui >> 4) & 0x0F0F0F0F); -#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1) - uint qh_lo = (kblocksh[buf_ib].qh >> (d * 4)) & 0xF; - uint qh_hi = (kblocksh[buf_ib].qh >> (d * 4 + 16)) & 0xF; - k_quants[d ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u); - k_quants[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u); -#endif + if (has_qh) { + uint qh_lo = (kblocksh[buf_ib].qh >> (d * 4)) & 0xF; + uint qh_hi = (kblocksh[buf_ib].qh >> (d * 4 + 16)) & 0xF; + k_quants[d ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u); + k_quants[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u); + } } - } else -#endif - { + } else { [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) { k_quants[d] = get_k_qs_shmem(buf_ib, (d_tid * (HSK_per_thread / 4) + d_block) % 8 + d); } } } else { - const uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d_tid * (HSK_per_thread / 4) + d_block); - const uint ib = coord / BLOCK_SIZE; - const uint iqs = (coord % BLOCK_SIZE); + const uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE_K + 4 * (d_tid * (HSK_per_thread / 4) + d_block); + const uint ib = coord / BLOCK_SIZE_K; + const uint iqs = (coord % BLOCK_SIZE_K); -#if QUANT_AUXF == 1 - k_dm = ACC_TYPEV2(get_k_d(ib, k_offset), 0.0); -#else - k_dm = ACC_TYPEV2(get_k_dm(ib, k_offset)); -#endif -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) || defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1) - if (d_per_step == 8) { -#if defined(DATA_A_Q5_0) - uint qh = pack32(u16vec2(k_packed.k_data_packed16[k_offset + ib].qh[0], - k_packed.k_data_packed16[k_offset + ib].qh[1])); -#elif defined(DATA_A_Q5_1) - uint qh = k_packed.k_data_packed16[k_offset + ib].qh; -#endif - [[unroll]] for (uint32_t d = 0; d < 4; d++) { -#if defined(A_TYPE_PACKED32) - uint vui = k_packed32.k_data_packed32[k_offset + ib].qs[d]; -#else - uint vui = pack32(u16vec2(k_packed.k_data_packed16[k_offset + ib].qs[iqs / 2 + d * 2 + 0], - k_packed.k_data_packed16[k_offset + ib].qs[iqs / 2 + d * 2 + 1])); -#endif - k_quants[d ] = int32_t( vui & 0x0F0F0F0F); - k_quants[d + 4] = int32_t((vui >> 4) & 0x0F0F0F0F); -#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1) - uint qh_lo = (qh >> (d * 4)) & 0xF; - uint qh_hi = (qh >> (d * 4 + 16)) & 0xF; - k_quants[d ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u); - k_quants[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u); -#endif + k_dm = ACC_TYPEV2(get_k_scale(ib, k_offset)); + + if (block8_fast) { + fa_k_qs_block8 blk = get_k_qs_block8(ib, k_offset); + [[unroll]] for (uint32_t d = 0; d < 8; d++) { + k_quants[d] = blk.qs[d]; } - } else -#endif - { + } else { [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) { k_quants[d] = get_k_qs(ib, iqs + d * 4, k_offset); } @@ -516,14 +486,14 @@ void main() { if (idx + gl_WorkGroupSize.x <= Bc * HSV / 4 || c < Bc) { FLOAT_TYPEV4 V_Tf = FLOAT_TYPEV4(0); if (!KV_bounds_check || j * Bc + c < KV) { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + c) * v_stride * BLOCK_SIZE + 4 * d; - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); - V_Tf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V); -#else - V_Tf = FLOAT_TYPEV4(data_vv4[v_offset / 4 + (j * Bc + c) * v_stride / 4 + d]); -#endif + if (USE_DECODE_V) { + uint coord = (j * Bc + c) * v_stride * BLOCK_SIZE_V + 4 * d; + uint ib = coord / BLOCK_SIZE_V; + uint iqs = (coord % BLOCK_SIZE_V); + V_Tf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V); + } else { + V_Tf = FLOAT_TYPEV4(data_vv4[v_offset / 4 + (j * Bc + c) * v_stride / 4 + d]); + } } kvsh[c * kvsh_stride + d] = V_Tf; @@ -547,15 +517,13 @@ void main() { FLOAT_TYPEV4 Vf; if (SHMEM_STAGING != 0) { Vf = kvsh[(c * cols_per_iter + col_tid) * kvsh_stride + (d * D_split + d_tid)]; - } else { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + c * cols_per_iter + col_tid) * v_stride * BLOCK_SIZE + 4 * (d * D_split + d_tid); - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); + } else if (USE_DECODE_V) { + uint coord = (j * Bc + c * cols_per_iter + col_tid) * v_stride * BLOCK_SIZE_V + 4 * (d * D_split + d_tid); + uint ib = coord / BLOCK_SIZE_V; + uint iqs = (coord % BLOCK_SIZE_V); Vf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V); -#else + } else { Vf = FLOAT_TYPEV4(data_vv4[v_offset / 4 + (j * Bc + c * cols_per_iter + col_tid) * v_stride / 4 + d * D_split + d_tid]); -#endif } [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) { Of[r][d] += FLOAT_TYPEV4(Pf[r] * Vf); diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl index 6f34924691..9a7957da97 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl @@ -13,6 +13,12 @@ layout (constant_id = 8) const uint32_t SubGroupSize = 32; layout (constant_id = 9) const uint32_t SHMEM_STAGING = 0; layout (constant_id = 10) const uint32_t Flags = 0; layout (constant_id = 11) const uint32_t LIMIT_OCCUPANCY_SHMEM = 0; +// ggml_type enumerant for K/V +layout (constant_id = 12) const uint32_t FaTypeK = 0; +layout (constant_id = 13) const uint32_t FaTypeV = 0; +// sizeof(decode buffer): quants -> ggml block size; F32 -> 16 (decodeBufF32 vec4). +layout (constant_id = 14) const uint32_t FaBlockBytesK = 2; +layout (constant_id = 15) const uint32_t FaBlockBytesV = 2; const bool USE_MASK_OPT = (Flags & 1) != 0; const bool MASK_ENABLE = (Flags & 2) != 0; @@ -81,176 +87,58 @@ layout (binding = 6) readonly buffer MO {uint32_t data_mask_opt[];}; #define BINDING_IDX_K 0 #define BINDING_IDX_V 1 -#if defined(DATA_A_F32) -layout (binding = 1) readonly buffer K_PACKED {vec4 k_data_packed[];} k_packed; -layout (binding = 2) readonly buffer V_PACKED {vec4 v_data_packed[];} v_packed; -#elif defined(A_TYPE_PACKED16) -layout (binding = 1) readonly buffer K_PACKED16 {A_TYPE_PACKED16 k_data_packed16[];} k_packed; -layout (binding = 2) readonly buffer V_PACKED16 {A_TYPE_PACKED16 v_data_packed16[];} v_packed; -#endif -#if defined(A_TYPE_PACKED32) -layout (binding = 1) readonly buffer K_PACKED32 {A_TYPE_PACKED32 k_data_packed32[];} k_packed32; -layout (binding = 2) readonly buffer V_PACKED32 {A_TYPE_PACKED32 v_data_packed32[];} v_packed32; -#endif +// FaTypeK / FaTypeV spec constant values. These mirror enum ggml_type so the +// host can pass the type directly. Keep in sync with ggml.h. +#define FA_TYPE_F32 0u +#define FA_TYPE_F16 1u +#define FA_TYPE_Q4_0 2u +#define FA_TYPE_Q4_1 3u +#define FA_TYPE_Q5_0 6u +#define FA_TYPE_Q5_1 7u +#define FA_TYPE_Q8_0 8u +#define FA_TYPE_Q1_0 41u -#ifndef BLOCK_SIZE -#define BLOCK_SIZE 1 -#endif - -#if defined(DATA_A_F32) -#undef BLOCK_SIZE -#define BLOCK_SIZE 4 -#define BLOCK_BYTE_SIZE 16 - -FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) { - // iqs is currently always zero in the flash attention shaders - if (binding_idx == BINDING_IDX_K) { - return FLOAT_TYPEV4(k_packed.k_data_packed[a_offset + ib]); - } else { - return FLOAT_TYPEV4(v_packed.v_data_packed[a_offset + ib]); +// Number of matrix elements per buffer block, derived from the K/V type spec +// constant. F32 is treated as a vec4 "block" of 4 floats. F16 uses block size 1 +// and bypasses the dequant path entirely. Quants follow their ggml block sizes. +uint fa_block_elems(uint ty) { + switch (ty) { + case FA_TYPE_F32: return 4u; + case FA_TYPE_F16: return 1u; + case FA_TYPE_Q4_0: return uint(QUANT_K_Q4_0); + case FA_TYPE_Q4_1: return uint(QUANT_K_Q4_1); + case FA_TYPE_Q5_0: return uint(QUANT_K_Q5_0); + case FA_TYPE_Q5_1: return uint(QUANT_K_Q5_1); + case FA_TYPE_Q8_0: return uint(QUANT_K_Q8_0); + case FA_TYPE_Q1_0: return uint(QUANT_K_Q1_0); // cm2-only, harmless elsewhere + default: return 1u; } } -#endif -#if defined(DATA_A_Q4_0) -#define BLOCK_BYTE_SIZE 18 -#elif defined(DATA_A_Q4_1) -#define BLOCK_BYTE_SIZE 20 -#endif - -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) -FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) { - if (binding_idx == BINDING_IDX_K) { - uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); - uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); - uint shift = (iqs & 0x10) >> 2; - vui_lo >>= shift; - vui_hi >>= shift; - - FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF); -#ifdef DATA_A_Q4_1 - return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * nibbles + FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].m); -#else - return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles - FLOAT_TYPE(8.0f)); -#endif - } else { - uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); - uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); - uint shift = (iqs & 0x10) >> 2; - vui_lo >>= shift; - vui_hi >>= shift; - - FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF); -#ifdef DATA_A_Q4_1 - return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * nibbles + FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].m); -#else - return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles - FLOAT_TYPE(8.0f)); -#endif +// QUANT_R_MMQ for FA-eligible K types. Q4_*/Q5_* store two nibbles per byte +// (R==2); Q8_0 stores one byte per element (R==1). Used to derive the number +// of int32s per 32-element block on the MMQ K path: ints_per_block == 8 / R. +uint fa_quant_r_mmq(uint ty) { + switch (ty) { + case FA_TYPE_Q4_0: return uint(QUANT_R_Q4_0); + case FA_TYPE_Q4_1: return uint(QUANT_R_Q4_1); + case FA_TYPE_Q5_0: return uint(QUANT_R_Q5_0); + case FA_TYPE_Q5_1: return uint(QUANT_R_Q5_1); + case FA_TYPE_Q8_0: return uint(QUANT_R_Q8_0); + default: return 1u; } } -#endif -#if defined(DATA_A_Q5_0) -#define BLOCK_BYTE_SIZE 22 -#elif defined(DATA_A_Q5_1) -#define BLOCK_BYTE_SIZE 24 -#endif - -#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1) -FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) { - if (binding_idx == BINDING_IDX_K) { - uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); - uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); - uint shift = (iqs & 0x10) >> 2; - vui_lo >>= shift; - vui_hi >>= shift; - -#ifdef DATA_A_Q5_1 - uint qh = k_packed.k_data_packed16[a_offset + ib].qh; -#else - uint qh = uint(k_packed.k_data_packed16[a_offset + ib].qh[0]) | (uint(k_packed.k_data_packed16[a_offset + ib].qh[1]) << 16); -#endif - FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) * FLOAT_TYPE(16.0f); - - FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF); -#ifdef DATA_A_Q5_1 - return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles + hb) + FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].m); -#else - return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles + hb - FLOAT_TYPE(16.0f)); -#endif - } else { - uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); - uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); - uint shift = (iqs & 0x10) >> 2; - vui_lo >>= shift; - vui_hi >>= shift; - -#ifdef DATA_A_Q5_1 - uint qh = v_packed.v_data_packed16[a_offset + ib].qh; -#else - uint qh = uint(v_packed.v_data_packed16[a_offset + ib].qh[0]) | (uint(v_packed.v_data_packed16[a_offset + ib].qh[1]) << 16); -#endif - FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) * FLOAT_TYPE(16.0f); - - FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF); -#ifdef DATA_A_Q5_1 - return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles + hb) + FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].m); -#else - return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles + hb - FLOAT_TYPE(16.0f)); -#endif - } -} -#endif - - -#if defined(DATA_A_IQ4_NL) -#define BLOCK_BYTE_SIZE 18 - -FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) { - if (binding_idx == BINDING_IDX_K) { - uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); - uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); - uint shift = (iqs & 0x10) >> 2; - vui_lo >>= shift; - vui_hi >>= shift; - - return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4( - kvalues_iq4nl[vui_lo & 0xF], - kvalues_iq4nl[(vui_lo >> 8) & 0xF], - kvalues_iq4nl[vui_hi & 0xF], - kvalues_iq4nl[(vui_hi >> 8) & 0xF]); - } else { - uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); - uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); - uint shift = (iqs & 0x10) >> 2; - vui_lo >>= shift; - vui_hi >>= shift; - - return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4( - kvalues_iq4nl[vui_lo & 0xF], - kvalues_iq4nl[(vui_lo >> 8) & 0xF], - kvalues_iq4nl[vui_hi & 0xF], - kvalues_iq4nl[(vui_hi >> 8) & 0xF]); - } -} -#endif -#if defined(DATA_A_Q8_0) -#define BLOCK_BYTE_SIZE 34 -FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) { - if (binding_idx == BINDING_IDX_K) { - const i8vec2 v0 = unpack8(int32_t(k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2])).xy; // vec4 used due to #12147 - const i8vec2 v1 = unpack8(int32_t(k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2 + 1])).xy; - - return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(v0.x, v0.y, v1.x, v1.y); - } else { - const i8vec2 v0 = unpack8(int32_t(v_packed.v_data_packed16[a_offset + ib].qs[iqs / 2])).xy; // vec4 used due to #12147 - const i8vec2 v1 = unpack8(int32_t(v_packed.v_data_packed16[a_offset + ib].qs[iqs / 2 + 1])).xy; - - return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(v0.x, v0.y, v1.x, v1.y); - } -} -#endif +// These can't be `const` globals because GLSL forbids function calls in global +// const initializers, even when the spec constants would let the driver fold +// them. Macros expand at the use site and fold after specialization. +#define BLOCK_SIZE_K fa_block_elems(FaTypeK) +#define BLOCK_SIZE_V fa_block_elems(FaTypeV) +// F16 reads f16 elements directly from the binding; everything else routes +// through dequantize4 / the MMQ helpers to unpack from the packed block layout. +#define USE_DECODE_K (FaTypeK != FA_TYPE_F16) +#define USE_DECODE_V (FaTypeV != FA_TYPE_F16) #define CEIL_DIV(a, b) (((a) + (b) - 1) / (b)) diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp index 526e8da384..bffcc095be 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm1.comp @@ -14,6 +14,7 @@ #include "types.glsl" #include "flash_attn_base.glsl" +#include "flash_attn_dequant.glsl" // These need to be supported N,M values for a MatBc x MatBr x 16 coopmatmuladd const uint32_t MatBr = 16; @@ -127,13 +128,9 @@ void main() { // mo_offset will point to the tile starting at row i*Br and col 0 uint32_t mo_offset = mo_stride * i; -#if BLOCK_SIZE > 1 - uint32_t k_offset = (ik2*p.nb12 + ik3*p.nb13) / BLOCK_BYTE_SIZE; - uint32_t v_offset = (iv2*p.nb22 + iv3*p.nb23) / BLOCK_BYTE_SIZE; -#else - uint32_t k_offset = (ik2*p.nb12 + ik3*p.nb13) / 2; - uint32_t v_offset = (iv2*p.nb22 + iv3*p.nb23) / 2; -#endif + // FaBlockBytesK/V == 2 for f16 (sizeof f16) and == 16 for f32 (vec4) and == ggml block size for quants. + uint32_t k_offset = (ik2*p.nb12 + ik3*p.nb13) / FaBlockBytesK; + uint32_t v_offset = (iv2*p.nb22 + iv3*p.nb23) / FaBlockBytesV; uint32_t m_offset = gqa_iq1*KV; if (p.nem2 != 1 || p.nem3 != 1) { m_offset += ((iq3 % p.nem3) * p.nem2 + (iq2 % p.nem2)) * p.nem1 * KV; @@ -227,14 +224,14 @@ void main() { if (idx + gl_WorkGroupSize.x <= Bc * HSK_pad / 4 || c < Bc) { f16vec4 K_Tf = f16vec4(0); if ((!KV_bounds_check || j * Bc + c < KV) && (HSK == HSK_pad || d < HSK / 4)) { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + c) * k_stride * BLOCK_SIZE + 4 * d; - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); - K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); -#else - K_Tf = f16vec4(data_kv4[k_offset / 4 + (j * Bc + c) * k_stride / 4 + d]); -#endif + if (USE_DECODE_K) { + uint coord = (j * Bc + c) * k_stride * BLOCK_SIZE_K + 4 * d; + uint ib = coord / BLOCK_SIZE_K; + uint iqs = (coord % BLOCK_SIZE_K); + K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); + } else { + K_Tf = f16vec4(data_kv4[k_offset / 4 + (j * Bc + c) * k_stride / 4 + d]); + } } kvsh[c * kvsh_stride + d] = K_Tf; @@ -256,47 +253,40 @@ void main() { // staged through a Bc * MatBr size staging buffer. // If K is not type f16, then it is always staged for dequantization. if (SHMEM_STAGING == 0) { -#if BLOCK_SIZE == 1 - if (KV_bounds_check || d * 16 + 16 > HSK) { -#endif - barrier(); - [[unroll]] for (uint32_t idx = 0; idx < Bc * MatBr / 4; idx += gl_WorkGroupSize.x) { - uint32_t col_vec = (idx + tid) % (MatBr / 4); - uint32_t row = (idx + tid) / (MatBr / 4); - if (idx + tid < Bc * MatBr / 4) { - f16vec4 K_Tf = f16vec4(0); - if ((!KV_bounds_check || j * Bc + row < KV) && (HSK == HSK_pad || d * 16 + col_vec * 4 < HSK)) { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + row) * k_stride * BLOCK_SIZE + d * 16 + col_vec * 4; - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); - K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); -#else - K_Tf = f16vec4(data_kv4[k_offset / 4 + (j * Bc + row) * k_stride / 4 + d * 16 / 4 + col_vec]); -#endif + // For quants we always need to dequant into kvsh; for f16 we can load + // directly from global memory when alignment / bounds allow it. + const bool stage_k = USE_DECODE_K || KV_bounds_check || d * 16 + 16 > HSK; + if (stage_k) { + barrier(); + [[unroll]] for (uint32_t idx = 0; idx < Bc * MatBr / 4; idx += gl_WorkGroupSize.x) { + uint32_t col_vec = (idx + tid) % (MatBr / 4); + uint32_t row = (idx + tid) / (MatBr / 4); + if (idx + tid < Bc * MatBr / 4) { + f16vec4 K_Tf = f16vec4(0); + if ((!KV_bounds_check || j * Bc + row < KV) && (HSK == HSK_pad || d * 16 + col_vec * 4 < HSK)) { + if (USE_DECODE_K) { + uint coord = (j * Bc + row) * k_stride * BLOCK_SIZE_K + d * 16 + col_vec * 4; + uint ib = coord / BLOCK_SIZE_K; + uint iqs = (coord % BLOCK_SIZE_K); + K_Tf = dequantize4(ib, iqs, k_offset, BINDING_IDX_K); + } else { + K_Tf = f16vec4(data_kv4[k_offset / 4 + (j * Bc + row) * k_stride / 4 + d * 16 / 4 + col_vec]); + } + } + + kvsh[row * kvsh_stride + col_vec] = K_Tf; } - - kvsh[row * kvsh_stride + col_vec] = K_Tf; } + barrier(); } - barrier(); -#if BLOCK_SIZE == 1 - } -#endif -#if BLOCK_SIZE == 1 - if (KV_bounds_check || d * 16 + 16 > HSK) -#endif - { + if (stage_k) { uint coord = (gl_SubgroupID * MatBc) * kvsh_stride; coopMatLoad(KMat, kvsh, coord, kvsh_stride, gl_CooperativeMatrixLayoutRowMajor); - } -#if BLOCK_SIZE == 1 - else { + } else { const uint coord = k_offset / 4 + (j * Bc + gl_SubgroupID * MatBc) * k_stride / 4 + d * 16 / 4; coopMatLoad(KMat, data_kv4, coord, k_stride / 4, gl_CooperativeMatrixLayoutRowMajor); } -#endif } else { uint coord = (gl_SubgroupID * MatBc) * kvsh_stride + d * 16 / 4; coopMatLoad(KMat, kvsh, coord, kvsh_stride, gl_CooperativeMatrixLayoutRowMajor); @@ -397,14 +387,14 @@ void main() { if (idx + gl_WorkGroupSize.x <= Bc * HSV_pad / 4 || c < Bc) { f16vec4 V_Tf = f16vec4(0); if ((!KV_bounds_check || j * Bc + c < KV) && (HSV == HSV_pad || d < HSV / 4)) { -#if BLOCK_SIZE > 1 - uint coord = (j * Bc + c) * v_stride * BLOCK_SIZE + 4 * d; - uint ib = coord / BLOCK_SIZE; - uint iqs = (coord % BLOCK_SIZE); - V_Tf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V); -#else - V_Tf = f16vec4(data_vv4[v_offset / 4 + (j * Bc + c) * v_stride / 4 + d]); -#endif + if (USE_DECODE_V) { + uint coord = (j * Bc + c) * v_stride * BLOCK_SIZE_V + 4 * d; + uint ib = coord / BLOCK_SIZE_V; + uint iqs = (coord % BLOCK_SIZE_V); + V_Tf = dequantize4(ib, iqs, v_offset, BINDING_IDX_V); + } else { + V_Tf = f16vec4(data_vv4[v_offset / 4 + (j * Bc + c) * v_stride / 4 + d]); + } } kvsh[c * kvsh_stride + d] = V_Tf; @@ -431,36 +421,33 @@ void main() { // staged through a Bc * MatBr size staging buffer. // If V is not type f16, then it is always staged for dequantization. if (SHMEM_STAGING == 0) { -#if BLOCK_SIZE == 1 - // For f16, only preload if not aligned - if (KV_bounds_check) { -#endif - [[unroll]] for (uint32_t i = 0; i < v_loads_per_thread; ++i) { - const uint idx = i * gl_WorkGroupSize.x + tid; - const uint row = idx / v_cols; - const uint col = idx % v_cols; + // For quants we always preload via kvsh. For f16 we only preload when + // alignment / bounds force it (otherwise we coopMatLoad direct from data_vv4). + const bool stage_v = USE_DECODE_V || KV_bounds_check; + if (stage_v) { + [[unroll]] for (uint32_t i = 0; i < v_loads_per_thread; ++i) { + const uint idx = i * gl_WorkGroupSize.x + tid; + const uint row = idx / v_cols; + const uint col = idx % v_cols; - const uint v_row = j * Bc + row; - const uint v_col = hsv_tile * MatBc * row_split + col * 4; + const uint v_row = j * Bc + row; + const uint v_col = hsv_tile * MatBc * row_split + col * 4; - const uint coord = v_row * v_stride * BLOCK_SIZE + v_col; - const uint ib = coord / BLOCK_SIZE; - const uint iqs = coord % BLOCK_SIZE; + const uint coord = v_row * v_stride * BLOCK_SIZE_V + v_col; + const uint ib = coord / BLOCK_SIZE_V; + const uint iqs = coord % BLOCK_SIZE_V; - if (!KV_bounds_check || (v_row < KV && v_col < HSV)) { -#if BLOCK_SIZE > 1 - kvsh[row * vsh_stride + col] = dequantize4(ib, iqs, v_offset, BINDING_IDX_V); -#else - kvsh[row * vsh_stride + col] = data_vv4[(v_offset + v_row * v_stride + v_col) / 4]; -#endif - } else { - kvsh[row * vsh_stride + col] = f16vec4(0.0f); + if (!KV_bounds_check || (v_row < KV && v_col < HSV)) { + if (USE_DECODE_V) { + kvsh[row * vsh_stride + col] = dequantize4(ib, iqs, v_offset, BINDING_IDX_V); + } else { + kvsh[row * vsh_stride + col] = data_vv4[(v_offset + v_row * v_stride + v_col) / 4]; + } + } else { + kvsh[row * vsh_stride + col] = f16vec4(0.0f); + } } } - -#if BLOCK_SIZE == 1 - } -#endif } barrier(); @@ -471,15 +458,12 @@ void main() { coopMatLoad(KMat, Psh, bc_chunk * MatBc * psh_stride, psh_stride, gl_CooperativeMatrixLayoutColumnMajor); if (SHMEM_STAGING == 0) { -#if BLOCK_SIZE == 1 - if (!KV_bounds_check) { + if (!USE_DECODE_V && !KV_bounds_check) { // F16 values can be loaded directly from global memory const uint v_tile_row = j * Bc + bc_chunk * MatBc; const uint v_tile_offset = v_offset / 4 + v_tile_row * v_stride / 4 + hsv_offset / 4; coopMatLoad(QMat, data_vv4, v_tile_offset, v_stride / 4, gl_CooperativeMatrixLayoutRowMajor); - } else -#endif - { + } else { const uint v_tile_offset = bc_chunk * MatBr * v_cols + gl_SubgroupID * (MatBc / 4); coopMatLoad(QMat, kvsh, v_tile_offset, vsh_stride, gl_CooperativeMatrixLayoutRowMajor); } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp index 0ea181342c..141bb87088 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp @@ -17,8 +17,42 @@ #extension GL_EXT_null_initializer : enable #include "types.glsl" -#include "dequant_funcs_cm2.glsl" #include "flash_attn_base.glsl" +#include "dequant_funcs_cm2.glsl" + +// buffer_reference stride = sizeof(struct) = FaBlockBytesK/V. +layout(buffer_reference, std430, buffer_reference_align = 1) buffer decodeBufFA_K { + uint8_t raw[FaBlockBytesK]; +}; +layout(buffer_reference, std430, buffer_reference_align = 1) buffer decodeBufFA_V { + uint8_t raw[FaBlockBytesV]; +}; + +float16_t faDecodeK(const decodeBufFA_K bl_in, const uint blockCoords[2], const uint coordInBlock[2]) { + switch (FaTypeK) { + case FA_TYPE_F32: return dequantFuncF32 (decodeBufF32 (bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q4_0: return dequantFuncQ4_0(decodeBufQ4_0(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q4_1: return dequantFuncQ4_1(decodeBufQ4_1(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q5_0: return dequantFuncQ5_0(decodeBufQ5_0(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q5_1: return dequantFuncQ5_1(decodeBufQ5_1(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q8_0: return dequantFuncQ8_0(decodeBufQ8_0(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q1_0: return dequantFuncQ1_0(decodeBufQ1_0(bl_in), blockCoords, coordInBlock); + default: return float16_t(0); + } +} + +float16_t faDecodeV(const decodeBufFA_V bl_in, const uint blockCoords[2], const uint coordInBlock[2]) { + switch (FaTypeV) { + case FA_TYPE_F32: return dequantFuncF32 (decodeBufF32 (bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q4_0: return dequantFuncQ4_0(decodeBufQ4_0(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q4_1: return dequantFuncQ4_1(decodeBufQ4_1(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q5_0: return dequantFuncQ5_0(decodeBufQ5_0(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q5_1: return dequantFuncQ5_1(decodeBufQ5_1(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q8_0: return dequantFuncQ8_0(decodeBufQ8_0(bl_in), blockCoords, coordInBlock); + case FA_TYPE_Q1_0: return dequantFuncQ1_0(decodeBufQ1_0(bl_in), blockCoords, coordInBlock); + default: return float16_t(0); + } +} layout (binding = 0) readonly buffer Q {uint8_t data_q[];}; layout (binding = 1) readonly buffer K {uint8_t data_k[];}; @@ -55,12 +89,6 @@ ACC_TYPE Max(const in uint32_t row, const in uint32_t col, const in ACC_TYPE ele return max(elem0, elem1); } -#if BLOCK_SIZE > 1 -#define DECODEFUNC , DEQUANTFUNC -#else -#define DECODEFUNC -#endif - // Store the output when doing grouped query attention. // Rows index by Q's dimension 2, and the first N rows are valid. D_TYPE perElemOpGqaStore(const in uint32_t r, const in uint32_t c, const in D_TYPE elem, const in uint32_t o_offset, const in uint32_t iq2, const in uint32_t N) @@ -95,10 +123,6 @@ ACC_TYPE perElemOpNonGqaSplitKStoreCol0(const in uint32_t r, const in uint32_t c } void main() { -#ifdef NEEDS_INIT_IQ_SHMEM - init_iq_shmem(gl_WorkGroupSize); -#endif - init_indices(); tensorLayoutNV<2, gl_CooperativeMatrixClampModeConstantNV> tensorLayoutQ = createTensorLayoutNV(2, gl_CooperativeMatrixClampModeConstantNV); @@ -107,10 +131,10 @@ void main() { tensorViewNV<2, false, 1, 0> tensorViewTranspose = createTensorViewNV(2, false, 1, 0); -#if BLOCK_SIZE > 1 - tensorLayoutK = setTensorLayoutBlockSizeNV(tensorLayoutK, 1, BLOCK_SIZE); - tensorLayoutV = setTensorLayoutBlockSizeNV(tensorLayoutV, 1, BLOCK_SIZE); -#endif + const uint bs_k = fa_block_elems(FaTypeK); + const uint bs_v = fa_block_elems(FaTypeV); + tensorLayoutK = setTensorLayoutBlockSizeNV(tensorLayoutK, 1, bs_k); + tensorLayoutV = setTensorLayoutBlockSizeNV(tensorLayoutV, 1, bs_v); tensorLayoutQ = setTensorLayoutDimensionNV(tensorLayoutQ, N, HSK); tensorLayoutK = setTensorLayoutDimensionNV(tensorLayoutK, KV, HSK); @@ -120,10 +144,12 @@ void main() { if (Clamp != gl_CooperativeMatrixClampModeConstantNV) { q_stride &= ~7; -#if BLOCK_SIZE == 1 - k_stride &= ~7; - v_stride &= ~7; -#endif + if (bs_k == 1u) { + k_stride &= ~7; + } + if (bs_v == 1u) { + v_stride &= ~7; + } m_stride &= ~7; } tensorLayoutQ = setTensorLayoutStrideNV(tensorLayoutQ, q_stride, 1); @@ -230,7 +256,13 @@ void main() { coopmat K_T; uint32_t k_offset = ik2*p.nb12 + ik3*p.nb13; - coopMatLoadTensorNV(K_T, data_k, k_offset, sliceTensorLayoutNV(tensorLayoutK, j * Bc, Bc, 0, HSK_pad), tensorViewTranspose DECODEFUNC); + // F16: bs_k==1 (direct load). F32: bs_k==4 (vec4 / dequantFuncF32). Q4/Q8 family: bs_k==32. Q1_0: bs_k==128. + const bool k_use_decode = (bs_k > 1u); + if (k_use_decode) { + coopMatLoadTensorNV(K_T, data_k, k_offset, sliceTensorLayoutNV(tensorLayoutK, j * Bc, Bc, 0, HSK_pad), tensorViewTranspose, faDecodeK); + } else { + coopMatLoadTensorNV(K_T, data_k, k_offset, sliceTensorLayoutNV(tensorLayoutK, j * Bc, Bc, 0, HSK_pad), tensorViewTranspose); + } S = coopMatMulAdd(Qf16, K_T, S); if (LOGIT_SOFTCAP) { @@ -291,7 +323,12 @@ void main() { coopmat V; uint32_t v_offset = iv2*p.nb22 + iv3*p.nb23; - coopMatLoadTensorNV(V, data_v, v_offset, sliceTensorLayoutNV(tensorLayoutV, j * Bc, Bc, 0, HSV_pad) DECODEFUNC); + const bool v_use_decode = (bs_v > 1u); + if (v_use_decode) { + coopMatLoadTensorNV(V, data_v, v_offset, sliceTensorLayoutNV(tensorLayoutV, j * Bc, Bc, 0, HSV_pad), faDecodeV); + } else { + coopMatLoadTensorNV(V, data_v, v_offset, sliceTensorLayoutNV(tensorLayoutV, j * Bc, Bc, 0, HSV_pad)); + } L = eM*L + rowsum; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_dequant.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_dequant.glsl new file mode 100644 index 0000000000..02106f33cb --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_dequant.glsl @@ -0,0 +1,123 @@ +// Asymmetric K/V flash attention: aliased SSBO views of bindings 1 (K) and 2 (V) +// covering every supported FA element type, plus an uber dequantize4() that +// switches on FaTypeK / FaTypeV. After spec-constant specialization the driver +// folds away every path except the one matching the K/V type for this pipeline. +// +// Included by flash_attn.comp and flash_attn_cm1.comp. Not included by +// flash_attn_cm2.comp, which has its own buffer_reference-based decode path. +// +// We use macros (rather than per-quant decode functions taking a struct) on +// purpose: the FA shaders don't enable GL_EXT_shader_explicit_arithmetic_types_float16 +// when FLOAT16 isn't defined, which makes float16-containing struct values +// illegal to return from / pass to functions. Macros expand inline where the +// float16 stays in storage and is converted to FLOAT_TYPE at use. + +// F32 is fed as a vec4 "block" (4 floats), matching what dequant_funcs_cm2.glsl +// does for F32 in the cm2 shader. FaBlockBytesK/V == 16 for F32. +layout (binding = 1) readonly buffer K_PACKED_F32 { vec4 data[]; } k_packed_f32; +layout (binding = 2) readonly buffer V_PACKED_F32 { vec4 data[]; } v_packed_f32; + +layout (binding = 1) readonly buffer K_PACKED_Q4_0 { block_q4_0_packed16 data[]; } k_packed_q4_0; +layout (binding = 2) readonly buffer V_PACKED_Q4_0 { block_q4_0_packed16 data[]; } v_packed_q4_0; +layout (binding = 1) readonly buffer K_PACKED_Q4_1 { block_q4_1_packed16 data[]; } k_packed_q4_1; +layout (binding = 2) readonly buffer V_PACKED_Q4_1 { block_q4_1_packed16 data[]; } v_packed_q4_1; +layout (binding = 1) readonly buffer K_PACKED_Q5_0 { block_q5_0_packed16 data[]; } k_packed_q5_0; +layout (binding = 2) readonly buffer V_PACKED_Q5_0 { block_q5_0_packed16 data[]; } v_packed_q5_0; +layout (binding = 1) readonly buffer K_PACKED_Q5_1 { block_q5_1_packed16 data[]; } k_packed_q5_1; +layout (binding = 2) readonly buffer V_PACKED_Q5_1 { block_q5_1_packed16 data[]; } v_packed_q5_1; +layout (binding = 1) readonly buffer K_PACKED_Q8_0 { block_q8_0_packed16 data[]; } k_packed_q8_0; +layout (binding = 2) readonly buffer V_PACKED_Q8_0 { block_q8_0_packed16 data[]; } v_packed_q8_0; + +// Q4_1 and Q5_1 packed32 views: aliased to the same memory as the packed16 +// views, used by the MMQ K-side hot path for fast 4-uint loads. +layout (binding = 1) readonly buffer K_PACKED_Q4_1_P32 { block_q4_1_packed32 data[]; } k_packed_q4_1_p32; +layout (binding = 1) readonly buffer K_PACKED_Q5_1_P32 { block_q5_1_packed32 data[]; } k_packed_q5_1_p32; + +// Per-quant decode bodies are expanded once for the K view set and once for +// the V view set. The macros take the buffer name as a parameter. +#define FA_DEQUANT4_F32(BUF) \ + return FLOAT_TYPEV4(BUF.data[a_offset + ib]); + +#define FA_DEQUANT4_Q4_0(BUF) { \ + uint vui_lo = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); \ + uint vui_hi = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); \ + uint shift = (iqs & 0x10) >> 2; \ + vui_lo >>= shift; \ + vui_hi >>= shift; \ + FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, \ + vui_hi & 0xF, (vui_hi >> 8) & 0xF); \ + return FLOAT_TYPE(BUF.data[a_offset + ib].d) * (nibbles - FLOAT_TYPE(8.0f)); \ +} + +#define FA_DEQUANT4_Q4_1(BUF) { \ + uint vui_lo = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); \ + uint vui_hi = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); \ + uint shift = (iqs & 0x10) >> 2; \ + vui_lo >>= shift; \ + vui_hi >>= shift; \ + FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, \ + vui_hi & 0xF, (vui_hi >> 8) & 0xF); \ + return FLOAT_TYPE(BUF.data[a_offset + ib].d) * nibbles \ + + FLOAT_TYPE(BUF.data[a_offset + ib].m); \ +} + +#define FA_DEQUANT4_Q5_0(BUF) { \ + uint vui_lo = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); \ + uint vui_hi = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); \ + uint shift = (iqs & 0x10) >> 2; \ + vui_lo >>= shift; \ + vui_hi >>= shift; \ + uint qh = uint(BUF.data[a_offset + ib].qh[0]) \ + | (uint(BUF.data[a_offset + ib].qh[1]) << 16); \ + FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, \ + (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) \ + * FLOAT_TYPE(16.0f); \ + FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, \ + vui_hi & 0xF, (vui_hi >> 8) & 0xF); \ + return FLOAT_TYPE(BUF.data[a_offset + ib].d) * (nibbles + hb - FLOAT_TYPE(16.0f)); \ +} + +#define FA_DEQUANT4_Q5_1(BUF) { \ + uint vui_lo = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]); \ + uint vui_hi = uint(BUF.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]); \ + uint shift = (iqs & 0x10) >> 2; \ + vui_lo >>= shift; \ + vui_hi >>= shift; \ + uint qh = BUF.data[a_offset + ib].qh; \ + FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, \ + (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) \ + * FLOAT_TYPE(16.0f); \ + FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, \ + vui_hi & 0xF, (vui_hi >> 8) & 0xF); \ + return FLOAT_TYPE(BUF.data[a_offset + ib].d) * (nibbles + hb) \ + + FLOAT_TYPE(BUF.data[a_offset + ib].m); \ +} + +#define FA_DEQUANT4_Q8_0(BUF) { \ + const i8vec2 v0 = unpack8(int32_t(BUF.data[a_offset + ib].qs[iqs / 2 ])).xy; \ + const i8vec2 v1 = unpack8(int32_t(BUF.data[a_offset + ib].qs[iqs / 2 + 1])).xy; \ + return FLOAT_TYPE(BUF.data[a_offset + ib].d) * FLOAT_TYPEV4(v0.x, v0.y, v1.x, v1.y); \ +} + +FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) { + if (binding_idx == BINDING_IDX_K) { + switch (FaTypeK) { + case FA_TYPE_F32: FA_DEQUANT4_F32 (k_packed_f32) + case FA_TYPE_Q4_0: FA_DEQUANT4_Q4_0(k_packed_q4_0) + case FA_TYPE_Q4_1: FA_DEQUANT4_Q4_1(k_packed_q4_1) + case FA_TYPE_Q5_0: FA_DEQUANT4_Q5_0(k_packed_q5_0) + case FA_TYPE_Q5_1: FA_DEQUANT4_Q5_1(k_packed_q5_1) + case FA_TYPE_Q8_0: FA_DEQUANT4_Q8_0(k_packed_q8_0) + } + } else { + switch (FaTypeV) { + case FA_TYPE_F32: FA_DEQUANT4_F32 (v_packed_f32) + case FA_TYPE_Q4_0: FA_DEQUANT4_Q4_0(v_packed_q4_0) + case FA_TYPE_Q4_1: FA_DEQUANT4_Q4_1(v_packed_q4_1) + case FA_TYPE_Q5_0: FA_DEQUANT4_Q5_0(v_packed_q5_0) + case FA_TYPE_Q5_1: FA_DEQUANT4_Q5_1(v_packed_q5_1) + case FA_TYPE_Q8_0: FA_DEQUANT4_Q8_0(v_packed_q8_0) + } + } + return FLOAT_TYPEV4(0); +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl index e14e62d546..6bf10a7cff 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl @@ -1,149 +1,203 @@ -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) +// MMQ K-side helpers, asymmetric form. Each function dispatches on FaTypeK and +// reads from the matching aliased K binding declared in flash_attn_dequant.glsl. +// Spec-constant specialization folds the unused paths. + int32_t get_k_qs(uint ib, uint iqs, uint a_offset) { -#ifdef DATA_A_Q4_0 - uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0], - k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1])); -#else - uint vui = k_packed32.k_data_packed32[a_offset + ib].qs[(iqs & 0xF) / 4]; -#endif - - uint shift = (iqs & 0x10) >> 2; - vui >>= shift; - - return int32_t(vui & 0x0F0F0F0F); + switch (FaTypeK) { + case FA_TYPE_Q4_0: { + uint vui = pack32(u16vec2(k_packed_q4_0.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 0], + k_packed_q4_0.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 1])); + uint shift = (iqs & 0x10) >> 2; + vui >>= shift; + return int32_t(vui & 0x0F0F0F0F); + } + case FA_TYPE_Q4_1: { // uses packed32 alias + uint vui = k_packed_q4_1_p32.data[a_offset + ib].qs[(iqs & 0xF) / 4]; + uint shift = (iqs & 0x10) >> 2; + vui >>= shift; + return int32_t(vui & 0x0F0F0F0F); + } + case FA_TYPE_Q5_0: { + uint vui = pack32(u16vec2(k_packed_q5_0.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 0], + k_packed_q5_0.data[a_offset + ib].qs[(iqs & 0xF) / 2 + 1])); + uint qh = pack32(u16vec2(k_packed_q5_0.data[a_offset + ib].qh[0], + k_packed_q5_0.data[a_offset + ib].qh[1])); + uint shift = (iqs & 0x10) >> 2; + vui >>= shift; + uint qh_bits = (qh >> iqs) & 0xF; + return int32_t(vui & 0x0F0F0F0F) | int32_t((qh_bits * 0x02040810u) & 0x10101010u); + } + case FA_TYPE_Q5_1: { // qs via packed32, qh via packed16 + uint vui = k_packed_q5_1_p32.data[a_offset + ib].qs[(iqs & 0xF) / 4]; + uint qh = k_packed_q5_1.data[a_offset + ib].qh; + uint shift = (iqs & 0x10) >> 2; + vui >>= shift; + uint qh_bits = (qh >> iqs) & 0xF; + return int32_t(vui & 0x0F0F0F0F) | int32_t((qh_bits * 0x02040810u) & 0x10101010u); + } + case FA_TYPE_Q8_0: { + return pack32(i16vec2(k_packed_q8_0.data[a_offset + ib].qs[iqs / 2], + k_packed_q8_0.data[a_offset + ib].qs[iqs / 2 + 1])); + } + default: return 0; + } } -#endif -#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1) -int32_t get_k_qs(uint ib, uint iqs, uint a_offset) { -#ifdef DATA_A_Q5_0 - uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0], - k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1])); - uint qh = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qh[0], - k_packed.k_data_packed16[a_offset + ib].qh[1])); -#else - uint vui = k_packed32.k_data_packed32[a_offset + ib].qs[(iqs & 0xF) / 4]; - uint qh = k_packed.k_data_packed16[a_offset + ib].qh; -#endif - - uint shift = (iqs & 0x10) >> 2; - vui >>= shift; - - uint qh_bits = (qh >> iqs) & 0xF; - return int32_t(vui & 0x0F0F0F0F) | int32_t((qh_bits * 0x02040810u) & 0x10101010u); +// Per-block scale/min, packed as (d, m). Single-scale types (Q4_0, Q5_0, Q8_0) +// return (d, 0) so call sites always see the same shape. +FLOAT_TYPEV2 get_k_scale(uint ib, uint a_offset) { + switch (FaTypeK) { + case FA_TYPE_Q4_0: return FLOAT_TYPEV2(FLOAT_TYPE(k_packed_q4_0.data[a_offset + ib].d), 0.0); + case FA_TYPE_Q4_1: return FLOAT_TYPEV2(k_packed_q4_1_p32.data[a_offset + ib].dm); + case FA_TYPE_Q5_0: return FLOAT_TYPEV2(FLOAT_TYPE(k_packed_q5_0.data[a_offset + ib].d), 0.0); + case FA_TYPE_Q5_1: return FLOAT_TYPEV2(k_packed_q5_1_p32.data[a_offset + ib].dm); + case FA_TYPE_Q8_0: return FLOAT_TYPEV2(FLOAT_TYPE(k_packed_q8_0.data[a_offset + ib].d), 0.0); + default: return FLOAT_TYPEV2(0); + } } -#endif - -#if defined(DATA_A_Q8_0) -int32_t get_k_qs(uint ib, uint iqs, uint a_offset) { - return pack32(i16vec2(k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2], k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2 + 1])); -} -#endif - -#if defined(DATA_A_IQ4_NL) -int32_t get_k_qs(uint ib, uint iqs, uint a_offset) { - uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0], - k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1])); - uint shift = (iqs & 0x10) >> 2; - vui >>= shift; - - u8vec4 idx = unpack8(vui & 0x0F0F0F0F); - return pack32(i8vec4(kvalues_iq4nl_const[idx.x], - kvalues_iq4nl_const[idx.y], - kvalues_iq4nl_const[idx.z], - kvalues_iq4nl_const[idx.w])); -} -#endif - -#if QUANT_AUXF == 1 -FLOAT_TYPE get_k_d(uint ib, uint a_offset) { - return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d); -} -#else -FLOAT_TYPEV2 get_k_dm(uint ib, uint a_offset) { - return FLOAT_TYPEV2(k_packed32.k_data_packed32[a_offset + ib].dm); -} -#endif void k_block_to_shmem(const uint buf_ib, const uint global_ib, const uint iqs, const uint a_offset) { -#if defined(DATA_A_Q4_0) - kblocksh[buf_ib].qs[iqs] = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2], - k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1])); -#elif defined(DATA_A_Q4_1) - kblocksh[buf_ib].qs[iqs] = k_packed32.k_data_packed32[a_offset + global_ib].qs[iqs]; -#elif defined(DATA_A_Q5_0) - kblocksh[buf_ib].qs[iqs] = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2], - k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1])); - if (iqs == 0) { - kblocksh[buf_ib].qh = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qh[0], - k_packed.k_data_packed16[a_offset + global_ib].qh[1])); + // kblocksh[].qs is int32_t for the unified MMQ struct; uint sources need + // explicit casts. The bit pattern is what we care about here -- the actual + // signed/unsigned interpretation happens downstream in the dot product. + switch (FaTypeK) { + case FA_TYPE_Q4_0: { + kblocksh[buf_ib].qs[iqs] = int32_t(pack32(u16vec2(k_packed_q4_0.data[a_offset + global_ib].qs[iqs * 2], + k_packed_q4_0.data[a_offset + global_ib].qs[iqs * 2 + 1]))); + break; + } + case FA_TYPE_Q4_1: { + kblocksh[buf_ib].qs[iqs] = int32_t(k_packed_q4_1_p32.data[a_offset + global_ib].qs[iqs]); + break; + } + case FA_TYPE_Q5_0: { + kblocksh[buf_ib].qs[iqs] = int32_t(pack32(u16vec2(k_packed_q5_0.data[a_offset + global_ib].qs[iqs * 2], + k_packed_q5_0.data[a_offset + global_ib].qs[iqs * 2 + 1]))); + if (iqs == 0) { + kblocksh[buf_ib].qh = pack32(u16vec2(k_packed_q5_0.data[a_offset + global_ib].qh[0], + k_packed_q5_0.data[a_offset + global_ib].qh[1])); + } + break; + } + case FA_TYPE_Q5_1: { + kblocksh[buf_ib].qs[iqs] = int32_t(k_packed_q5_1_p32.data[a_offset + global_ib].qs[iqs]); + if (iqs == 0) { + kblocksh[buf_ib].qh = k_packed_q5_1.data[a_offset + global_ib].qh; + } + break; + } + case FA_TYPE_Q8_0: { + kblocksh[buf_ib].qs[iqs] = pack32(i16vec2(k_packed_q8_0.data[a_offset + global_ib].qs[iqs * 2], + k_packed_q8_0.data[a_offset + global_ib].qs[iqs * 2 + 1])); + break; + } } -#elif defined(DATA_A_Q5_1) - kblocksh[buf_ib].qs[iqs] = k_packed32.k_data_packed32[a_offset + global_ib].qs[iqs]; - if (iqs == 0) { - kblocksh[buf_ib].qh = k_packed.k_data_packed16[a_offset + global_ib].qh; - } -#elif defined(DATA_A_Q8_0) - kblocksh[buf_ib].qs[iqs] = pack32(i16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2], - k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1])); -#elif defined(DATA_A_IQ4_NL) - const uint qs = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2], - k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1])); - const u8vec4 i_a0 = unpack8( qs & 0x0F0F0F0F); - const u8vec4 i_a1 = unpack8((qs >> 4) & 0x0F0F0F0F); - kblocksh[buf_ib].qs[iqs ] = pack32(i8vec4(kvalues_iq4nl_const[i_a0.x], kvalues_iq4nl_const[i_a0.y], - kvalues_iq4nl_const[i_a0.z], kvalues_iq4nl_const[i_a0.w])); - kblocksh[buf_ib].qs[iqs + 4] = pack32(i8vec4(kvalues_iq4nl_const[i_a1.x], kvalues_iq4nl_const[i_a1.y], - kvalues_iq4nl_const[i_a1.z], kvalues_iq4nl_const[i_a1.w])); -#endif if (iqs == 0) { -#if QUANT_AUXF == 1 - kblocksh[buf_ib].dm = FLOAT_TYPE(k_packed.k_data_packed16[a_offset + global_ib].d); -#else - kblocksh[buf_ib].dm = FLOAT_TYPEV2(k_packed32.k_data_packed32[a_offset + global_ib].dm); -#endif + // Q4_0/Q5_0/Q8_0 store dm.x = d; Q4_1/Q5_1 store dm = (d, m) pair. + switch (FaTypeK) { + case FA_TYPE_Q4_0: kblocksh[buf_ib].dm = FLOAT_TYPEV2(FLOAT_TYPE(k_packed_q4_0.data[a_offset + global_ib].d), 0.0); break; + case FA_TYPE_Q4_1: kblocksh[buf_ib].dm = FLOAT_TYPEV2(k_packed_q4_1_p32.data[a_offset + global_ib].dm); break; + case FA_TYPE_Q5_0: kblocksh[buf_ib].dm = FLOAT_TYPEV2(FLOAT_TYPE(k_packed_q5_0.data[a_offset + global_ib].d), 0.0); break; + case FA_TYPE_Q5_1: kblocksh[buf_ib].dm = FLOAT_TYPEV2(k_packed_q5_1_p32.data[a_offset + global_ib].dm); break; + case FA_TYPE_Q8_0: kblocksh[buf_ib].dm = FLOAT_TYPEV2(FLOAT_TYPE(k_packed_q8_0.data[a_offset + global_ib].d), 0.0); break; + } } } +// d_per_step==8 hot path: read one full 32-element block worth of nibble-packed +// int32 quants. Equivalent to 8 calls to get_k_qs(ib, d*4, a_offset) but reads +// qh (Q5_*) and runs pack32 (Q4_0/Q5_0) once per block instead of per nibble +// quad. iqs is always 0 in this path (hsk4 % 8 == 0 implies block-aligned). +// Q8_0 takes the generic get_k_qs path because its qs layout (i8 pairs) doesn't +// share this nibble shape. +// +// Returned via a struct so the caller's k_quants array (sized from spec +// constants) doesn't need to match a fixed[8] out-parameter type. +struct fa_k_qs_block8 { + int32_t qs[8]; +}; + +fa_k_qs_block8 get_k_qs_block8(uint ib, uint a_offset) { + fa_k_qs_block8 r; + uint qh = 0; + if (FaTypeK == FA_TYPE_Q5_0) { + qh = pack32(u16vec2(k_packed_q5_0.data[a_offset + ib].qh[0], + k_packed_q5_0.data[a_offset + ib].qh[1])); + } else if (FaTypeK == FA_TYPE_Q5_1) { + qh = k_packed_q5_1.data[a_offset + ib].qh; + } + const bool has_qh = (FaTypeK == FA_TYPE_Q5_0) || (FaTypeK == FA_TYPE_Q5_1); + [[unroll]] for (uint32_t d = 0; d < 4; d++) { + uint vui = 0; + switch (FaTypeK) { + case FA_TYPE_Q4_0: { // packed16 + vui = pack32(u16vec2(k_packed_q4_0.data[a_offset + ib].qs[d * 2 + 0], + k_packed_q4_0.data[a_offset + ib].qs[d * 2 + 1])); + break; + } + case FA_TYPE_Q4_1: { // packed32 alias + vui = k_packed_q4_1_p32.data[a_offset + ib].qs[d]; + break; + } + case FA_TYPE_Q5_0: { // packed16 + vui = pack32(u16vec2(k_packed_q5_0.data[a_offset + ib].qs[d * 2 + 0], + k_packed_q5_0.data[a_offset + ib].qs[d * 2 + 1])); + break; + } + case FA_TYPE_Q5_1: { // packed32 alias + vui = k_packed_q5_1_p32.data[a_offset + ib].qs[d]; + break; + } + } + r.qs[d ] = int32_t( vui & 0x0F0F0F0F); + r.qs[d + 4] = int32_t((vui >> 4) & 0x0F0F0F0F); + if (has_qh) { + uint qh_lo = (qh >> (d * 4)) & 0xFu; + uint qh_hi = (qh >> (d * 4 + 16)) & 0xFu; + r.qs[d ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u); + r.qs[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u); + } + } + return r; +} + int32_t get_k_qs_shmem(const uint buf_ib, const uint pos) { -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) - uint sub = pos % 4; - uint shift = ((pos % 8) >= 4) ? 4 : 0; - return int32_t((kblocksh[buf_ib].qs[sub] >> shift) & 0x0F0F0F0F); -#elif defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1) - uint sub = pos % 4; - uint shift = ((pos % 8) >= 4) ? 4 : 0; - int32_t result = int32_t((kblocksh[buf_ib].qs[sub] >> shift) & 0x0F0F0F0F); - uint qh_bits = (kblocksh[buf_ib].qh >> (pos * 4)) & 0xF; - return result | int32_t((qh_bits * 0x02040810u) & 0x10101010u); -#elif defined(DATA_A_Q8_0) || defined(DATA_A_IQ4_NL) - return kblocksh[buf_ib].qs[pos]; -#endif + switch (FaTypeK) { + case FA_TYPE_Q4_0: + case FA_TYPE_Q4_1: { + uint sub = pos % 4; + uint shift = ((pos % 8) >= 4) ? 4u : 0u; + return int32_t((uint(kblocksh[buf_ib].qs[sub]) >> shift) & 0x0F0F0F0Fu); + } + case FA_TYPE_Q5_0: + case FA_TYPE_Q5_1: { + uint sub = pos % 4; + uint shift = ((pos % 8) >= 4) ? 4u : 0u; + int32_t result = int32_t((uint(kblocksh[buf_ib].qs[sub]) >> shift) & 0x0F0F0F0Fu); + uint qh_bits = (kblocksh[buf_ib].qh >> (pos * 4u)) & 0xFu; + return result | int32_t((qh_bits * 0x02040810u) & 0x10101010u); + } + case FA_TYPE_Q8_0: { + return kblocksh[buf_ib].qs[pos]; + } + default: return 0; + } } ACC_TYPE k_dot_correction(const uint qib, const ACC_TYPEV2 k_dm) { -#if defined(DATA_A_Q4_0) - return -ACC_TYPE(8.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x; -#elif defined(DATA_A_Q5_0) - return -ACC_TYPE(16.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x; -#elif defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1) - return ACC_TYPE(Qf[qib].ds.y) * k_dm.y; -#else - return ACC_TYPE(0.0); -#endif + switch (FaTypeK) { + case FA_TYPE_Q4_0: return -ACC_TYPE(8.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x; + case FA_TYPE_Q5_0: return -ACC_TYPE(16.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x; + case FA_TYPE_Q4_1: + case FA_TYPE_Q5_1: return ACC_TYPE(Qf[qib].ds.y) * k_dm.y; + default: return ACC_TYPE(0.0); + } } void k_block_to_shmem_zero(const uint buf_ib, const uint iqs) { kblocksh[buf_ib].qs[iqs] = 0; -#if defined(DATA_A_IQ4_NL) - kblocksh[buf_ib].qs[iqs + 4] = 0; -#endif if (iqs == 0) { -#if QUANT_AUXF == 1 - kblocksh[buf_ib].dm = FLOAT_TYPE(0.0f); -#else kblocksh[buf_ib].dm = FLOAT_TYPEV2(0.0f); -#endif } } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl index 10552d013a..79c933f40c 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl @@ -1,4 +1,13 @@ -#if defined(DATA_A_Q4_0) +#if defined(FA_MMQ_MIXED) +// Mixed-K flash attention MMQ: superset cache that fits Q4_0/Q4_1/Q5_0/Q5_1/Q8_0. +// Q4_*/Q5_* only use qs[0..3] and (for Q5_*) qh. Q8_0 uses qs[0..7]. Single-scale +// types (Q4_0/Q5_0/Q8_0) leave dm.y unused. +struct block_a_cache { + int32_t qs[8]; + uint32_t qh; + FLOAT_TYPEV2 dm; +}; +#elif defined(DATA_A_Q4_0) #define QUANT_R_MMQ 2 struct block_a_cache { uint32_t qs[16/4]; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index ff83661533..d99b2b5d80 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -641,47 +641,24 @@ void process_shaders() { fa_base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)"; } - for (const auto& tname : type_names) { - if (tname == "bf16") continue; - - if (fp16) { + if (fp16) { #if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT) - if (tname == "f16") { - string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp", - merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, true, f16acc); - } else { - std::string data_a_key = "DATA_A_" + to_uppercase(tname); - string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp", - merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"DEQUANTFUNC", "dequantFunc"+to_uppercase(tname) }, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, true, f16acc); - } + string_to_spv("flash_attn_f32_f16", "flash_attn_cm2.comp", + merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, true, f16acc); #endif -#if defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT) - if (tname == "f16") { - string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp", - merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"COOPMAT", "1"}}), fp16, true, false, f16acc); - } else if (tname == "q4_0" || tname == "q4_1" || tname == "q5_0" || tname == "q5_1" || tname == "iq4_nl" || tname == "q8_0" || tname == "f32") { - std::string data_a_key = "DATA_A_" + to_uppercase(tname); - string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp", - merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname)}, {"COOPMAT", "1"}}), fp16, true, false, f16acc); - } -#endif - } - if (tname == "f16") { - string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp", - merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, false, f16acc); - } else if (tname == "q4_0" || tname == "q4_1" || tname == "q5_0" || tname == "q5_1" || tname == "iq4_nl" || tname == "q8_0" || tname == "f32") { - std::string data_a_key = "DATA_A_" + to_uppercase(tname); - string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp", - merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, false, f16acc); -#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT) - if (tname != "f32") { - string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp", - merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }, {"MMQ", "1"}}), fp16, false, false, f16acc, "_int8"); - } +#if defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT) + string_to_spv("flash_attn_f32_f16", "flash_attn_cm1.comp", + merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"COOPMAT", "1"}}), fp16, true, false, f16acc); #endif - } } + + string_to_spv("flash_attn_f32_f16", "flash_attn.comp", + merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, false, f16acc); +#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT) + string_to_spv("flash_attn_f32_f16", "flash_attn.comp", + merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"MMQ", "1"}, {"FA_MMQ_MIXED", "1"}}), fp16, false, false, f16acc, "_int8"); +#endif } } diff --git a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp index b7771ac230..11701e7943 100644 --- a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp +++ b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp @@ -1,6 +1,7 @@ #ifndef GGML_WEBGPU_SHADER_LIB_HPP #define GGML_WEBGPU_SHADER_LIB_HPP +#include "ggml-impl.h" #include "ggml-wgsl-shaders.hpp" #include "ggml.h" #include "pre_wgsl.hpp" @@ -90,6 +91,7 @@ struct ggml_webgpu_shader_lib_context { uint32_t sg_mat_m = 0; uint32_t sg_mat_n = 0; uint32_t sg_mat_k = 0; + uint32_t min_subgroup_size = 0; uint32_t max_subgroup_size = 0; }; @@ -227,11 +229,13 @@ struct ggml_webgpu_get_rows_pipeline_key_hash { /** Row Norm **/ struct ggml_webgpu_row_norm_pipeline_key { - ggml_op op; - bool inplace; + ggml_op op; + ggml_type src_type; + ggml_type dst_type; + bool inplace; bool operator==(const ggml_webgpu_row_norm_pipeline_key & other) const { - return op == other.op && inplace == other.inplace; + return op == other.op && src_type == other.src_type && dst_type == other.dst_type && inplace == other.inplace; } }; @@ -239,6 +243,8 @@ struct ggml_webgpu_row_norm_pipeline_key_hash { size_t operator()(const ggml_webgpu_row_norm_pipeline_key & key) const { size_t seed = 0; ggml_webgpu_hash_combine(seed, key.op); + ggml_webgpu_hash_combine(seed, key.src_type); + ggml_webgpu_hash_combine(seed, key.dst_type); ggml_webgpu_hash_combine(seed, key.inplace); return seed; } @@ -405,6 +411,31 @@ struct ggml_webgpu_scale_pipeline_key_hash { } }; +/** Upscale **/ + +struct ggml_webgpu_upscale_pipeline_key { + ggml_type input_type; + ggml_type output_type; + uint32_t base_mode; + bool antialias; + + bool operator==(const ggml_webgpu_upscale_pipeline_key & other) const { + return input_type == other.input_type && output_type == other.output_type && base_mode == other.base_mode && + antialias == other.antialias; + } +}; + +struct ggml_webgpu_upscale_pipeline_key_hash { + size_t operator()(const ggml_webgpu_upscale_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.input_type); + ggml_webgpu_hash_combine(seed, key.output_type); + ggml_webgpu_hash_combine(seed, key.base_mode); + ggml_webgpu_hash_combine(seed, key.antialias); + return seed; + } +}; + /** Concat **/ struct ggml_webgpu_concat_pipeline_key { @@ -464,6 +495,22 @@ struct ggml_webgpu_binary_pipeline_key_hash { } }; +/* Add_Id */ + +struct ggml_webgpu_add_id_pipeline_key { + bool inplace; + + bool operator==(const ggml_webgpu_add_id_pipeline_key & other) const { return inplace == other.inplace; } +}; + +struct ggml_webgpu_add_id_pipeline_key_hash { + size_t operator()(const ggml_webgpu_add_id_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.inplace); + return seed; + } +}; + /** Unary **/ struct ggml_webgpu_unary_pipeline_key { @@ -501,7 +548,9 @@ enum ggml_webgpu_flash_attn_path : uint32_t { }; struct ggml_webgpu_flash_attn_pipeline_key { + ggml_type q_type; ggml_type kv_type; + ggml_type dst_type; uint32_t head_dim_qk; uint32_t head_dim_v; bool kv_direct; @@ -512,16 +561,19 @@ struct ggml_webgpu_flash_attn_pipeline_key { uint32_t path; bool operator==(const ggml_webgpu_flash_attn_pipeline_key & other) const { - return kv_type == other.kv_type && head_dim_qk == other.head_dim_qk && head_dim_v == other.head_dim_v && - kv_direct == other.kv_direct && kv_overlap == other.kv_overlap && has_mask == other.has_mask && - has_sinks == other.has_sinks && uses_logit_softcap == other.uses_logit_softcap && path == other.path; + return q_type == other.q_type && kv_type == other.kv_type && dst_type == other.dst_type && + head_dim_qk == other.head_dim_qk && head_dim_v == other.head_dim_v && kv_direct == other.kv_direct && + kv_overlap == other.kv_overlap && has_mask == other.has_mask && has_sinks == other.has_sinks && + uses_logit_softcap == other.uses_logit_softcap && path == other.path; } }; struct ggml_webgpu_flash_attn_pipeline_key_hash { size_t operator()(const ggml_webgpu_flash_attn_pipeline_key & key) const { size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.q_type); ggml_webgpu_hash_combine(seed, key.kv_type); + ggml_webgpu_hash_combine(seed, key.dst_type); ggml_webgpu_hash_combine(seed, key.head_dim_qk); ggml_webgpu_hash_combine(seed, key.head_dim_v); ggml_webgpu_hash_combine(seed, key.kv_direct); @@ -565,14 +617,14 @@ inline uint32_t ggml_webgpu_flash_attn_pick_vec_ne(const ggml_webgpu_flash_attn_ } inline ggml_webgpu_flash_attn_pipeline_key ggml_webgpu_flash_attn_make_pipeline_key( - const ggml_webgpu_shader_lib_context & context, - uint32_t path) { + const ggml_webgpu_shader_lib_context & context, + const ggml_webgpu_flash_attn_decisions & decisions) { const bool has_mask = context.src3 != nullptr; const bool has_sinks = context.src4 != nullptr; bool kv_direct = false; - if (path != GGML_WEBGPU_FLASH_ATTN_PATH_TILE) { + if (decisions.path != GGML_WEBGPU_FLASH_ATTN_PATH_TILE) { uint32_t kv_direct_align = GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH; - if (path == GGML_WEBGPU_FLASH_ATTN_PATH_SUBGROUP_MATRIX) { + if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_SUBGROUP_MATRIX) { kv_direct_align = context.sg_mat_k; } kv_direct = (context.src1->type == GGML_TYPE_F16) && @@ -581,7 +633,9 @@ inline ggml_webgpu_flash_attn_pipeline_key ggml_webgpu_flash_attn_make_pipeline_ } ggml_webgpu_flash_attn_pipeline_key key = {}; + key.q_type = context.src0->type; key.kv_type = context.src1->type; + key.dst_type = context.dst->type; key.head_dim_qk = (uint32_t) context.src0->ne[0]; key.head_dim_v = (uint32_t) context.src2->ne[0]; key.kv_direct = kv_direct; @@ -589,13 +643,14 @@ inline ggml_webgpu_flash_attn_pipeline_key ggml_webgpu_flash_attn_make_pipeline_ key.has_mask = has_mask; key.has_sinks = has_sinks; key.uses_logit_softcap = ggml_get_op_params_f32(context.dst, 2) != 0.0f; - key.path = path; + key.path = decisions.path; return key; } struct ggml_webgpu_flash_attn_vec_reduce_pipeline_key { - uint32_t head_dim_v; - uint32_t wg_size; + uint32_t head_dim_v; + uint32_t wg_size; + ggml_type dst_type; }; struct ggml_webgpu_flash_attn_vec_reduce_pipeline_key_hash { @@ -603,13 +658,14 @@ struct ggml_webgpu_flash_attn_vec_reduce_pipeline_key_hash { size_t seed = 0; ggml_webgpu_hash_combine(seed, key.head_dim_v); ggml_webgpu_hash_combine(seed, key.wg_size); + ggml_webgpu_hash_combine(seed, key.dst_type); return seed; } }; inline bool operator==(const ggml_webgpu_flash_attn_vec_reduce_pipeline_key & lhs, const ggml_webgpu_flash_attn_vec_reduce_pipeline_key & rhs) { - return lhs.head_dim_v == rhs.head_dim_v && lhs.wg_size == rhs.wg_size; + return lhs.head_dim_v == rhs.head_dim_v && lhs.wg_size == rhs.wg_size && lhs.dst_type == rhs.dst_type; } struct ggml_webgpu_flash_attn_blk_pipeline_key { @@ -632,19 +688,32 @@ inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile, uint32_t head_dim_qk, uint32_t head_dim_v, bool has_mask, - bool kv_direct) { + bool kv_direct, + uint32_t path = GGML_WEBGPU_FLASH_ATTN_PATH_SUBGROUP_MATRIX) { const uint32_t max_head_dim = std::max(head_dim_qk, head_dim_v); size_t f16_elems = 0; size_t f32_elems = 0; - f16_elems += q_tile * head_dim_qk; // q_shmem + if (path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) { + f32_elems += head_dim_qk; // q_shmem + if (!kv_direct) { + f32_elems += kv_tile * max_head_dim; // kv_shmem + } + f32_elems += head_dim_v; // o_shmem + if (has_mask) { + f32_elems += kv_tile; // mask_shmem + } + f32_elems += kv_tile; // inter_shmem + return f32_elems * GGML_WEBGPU_F32_SIZE_BYTES; + } + f32_elems += q_tile * head_dim_qk; // q_shmem if (!kv_direct) { - f16_elems += kv_tile * max_head_dim; // kv_shmem + f32_elems += kv_tile * max_head_dim; // kv_shmem } - f16_elems += q_tile * head_dim_v; // o_shmem + f32_elems += q_tile * head_dim_v; // o_shmem if (has_mask) { - f16_elems += q_tile * kv_tile; // mask_shmem + f32_elems += q_tile * kv_tile; // mask_shmem } - f16_elems += q_tile * kv_tile; // inter_shmem + f32_elems += q_tile * kv_tile; // inter_shmem f32_elems += q_tile; // row_max_shmem f32_elems += q_tile; // exp_sum_shmem return f16_elems * GGML_WEBGPU_F16_SIZE_BYTES + f32_elems * GGML_WEBGPU_F32_SIZE_BYTES; @@ -654,27 +723,27 @@ inline uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_shader_lib_ const ggml_webgpu_flash_attn_pipeline_key & key) { const size_t limit_bytes = context.wg_mem_limit_bytes; uint32_t q_tile = context.sg_mat_m; - uint32_t kv_granularity = context.sg_mat_n; + uint32_t kv_granularity = std::max(1u, context.sg_mat_n); if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) { q_tile = GGML_WEBGPU_FLASH_ATTN_TILE_Q_TILE; - kv_granularity = std::max(1u, context.max_subgroup_size); + kv_granularity = 1u; } else if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) { q_tile = 1u; kv_granularity = 8u; } - const size_t base_q_bytes = (key.head_dim_qk + key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES + - 2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES; - size_t bytes_per_kv = 0; - if (!key.kv_direct) { - bytes_per_kv += std::max(key.head_dim_qk, key.head_dim_v); + const size_t base_q_bytes = ggml_webgpu_flash_attn_wg_mem_bytes(q_tile, 0, key.head_dim_qk, key.head_dim_v, + key.has_mask, key.kv_direct, key.path); + if (limit_bytes <= base_q_bytes) { + return 0; } - if (key.has_mask) { - bytes_per_kv += q_tile; + const size_t one_kv_bytes = ggml_webgpu_flash_attn_wg_mem_bytes(q_tile, 1, key.head_dim_qk, key.head_dim_v, + key.has_mask, key.kv_direct, key.path); + const size_t bytes_per_kv = one_kv_bytes - base_q_bytes; + if (bytes_per_kv == 0) { + return 0; } - bytes_per_kv += q_tile; - bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES; - const uint32_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv; - return (max_kv_tile / kv_granularity) * kv_granularity; + const size_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv; + return (uint32_t) ((max_kv_tile / kv_granularity) * kv_granularity); } inline ggml_webgpu_flash_attn_decisions ggml_webgpu_flash_attn_get_decisions( @@ -705,10 +774,14 @@ inline ggml_webgpu_flash_attn_decisions ggml_webgpu_flash_attn_get_decisions( (context.src2->ne[0] % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0) && kv_vec_type_supported && (K->type != GGML_TYPE_F16 || f16_vec4_aligned) && (context.src2->type == K->type); + const bool tile_can_dispatch_all_q_rows = + context.max_subgroup_size > 0 && + context.max_wg_size >= GGML_WEBGPU_FLASH_ATTN_TILE_Q_TILE * context.max_subgroup_size; const bool use_tile = context.supports_subgroups && !context.supports_subgroup_matrix && K->type == GGML_TYPE_F16 && V->type == GGML_TYPE_F16 && f16_vec4_aligned && (context.src0->ne[0] % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0) && - (context.src2->ne[0] % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0) && !use_vec; + (context.src2->ne[0] % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0) && + tile_can_dispatch_all_q_rows && !use_vec; decisions.path = use_vec ? GGML_WEBGPU_FLASH_ATTN_PATH_VEC : use_tile ? GGML_WEBGPU_FLASH_ATTN_PATH_TILE : @@ -719,7 +792,7 @@ inline ggml_webgpu_flash_attn_decisions ggml_webgpu_flash_attn_get_decisions( return decisions; } - const ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context, decisions.path); + const ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context, decisions); decisions.kv_direct = key.kv_direct; const uint32_t max_kv_tile = ggml_webgpu_flash_attn_max_kv_tile(context, key); // invalidate if even the smallest kv_tile doesn't fit in shared memory @@ -748,21 +821,20 @@ inline ggml_webgpu_flash_attn_decisions ggml_webgpu_flash_attn_get_decisions( std::min(64u, max_kv_tile) : std::min(max_kv_tile, context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES); decisions.wg_size = decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ? - GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE : + std::min(std::max(1u, context.max_wg_size), + std::max(GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE, + GGML_WEBGPU_FLASH_ATTN_TILE_Q_TILE * context.max_subgroup_size)) : std::max(context.max_subgroup_size, GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE); - if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) { - const uint32_t tile_kv_granularity = std::max(1u, context.max_subgroup_size); - decisions.kv_tile = - std::max(tile_kv_granularity, (decisions.kv_tile / tile_kv_granularity) * tile_kv_granularity); + if (decisions.kv_tile == 0) { + return decisions; } if (decisions.kv_direct) { GGML_ASSERT(decisions.kv_tile <= GGML_WEBGPU_KV_SEQ_PAD); while (GGML_WEBGPU_KV_SEQ_PAD % decisions.kv_tile != 0) { - decisions.kv_tile -= decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ? - std::max(1u, context.max_subgroup_size) : - context.sg_mat_n; + decisions.kv_tile -= + decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ? context.min_subgroup_size : context.sg_mat_n; } } return decisions; @@ -862,9 +934,12 @@ struct ggml_webgpu_mul_mat_shader_decisions { struct ggml_webgpu_mul_mat_id_pipeline_key { ggml_type src0_type; ggml_type src1_type; + uint32_t n_experts; + int vectorized; bool operator==(const ggml_webgpu_mul_mat_id_pipeline_key & other) const { - return src0_type == other.src0_type && src1_type == other.src1_type; + return src0_type == other.src0_type && src1_type == other.src1_type && n_experts == other.n_experts && + vectorized == other.vectorized; } }; @@ -873,6 +948,8 @@ struct ggml_webgpu_mul_mat_id_pipeline_key_hash { size_t seed = 0; ggml_webgpu_hash_combine(seed, key.src0_type); ggml_webgpu_hash_combine(seed, key.src1_type); + ggml_webgpu_hash_combine(seed, key.n_experts); + ggml_webgpu_hash_combine(seed, key.vectorized); return seed; } }; @@ -997,7 +1074,9 @@ class ggml_webgpu_shader_lib { std::unordered_map pad_pipelines; // circular/non-circular std::unordered_map - binary_pipelines; // type/op/inplace/overlap + binary_pipelines; // type/op/inplace/overlap/src_overlap + std::unordered_map + add_id_pipelines; // inplace std::unordered_map concat_pipelines; // type std::unordered_map @@ -1023,6 +1102,8 @@ class ggml_webgpu_shader_lib { std::unordered_map mul_mat_id_gather_pipelines; // key is fixed std::unordered_map mul_mat_id_pipelines; // src0_type/src1_type + std::unordered_map + mul_mat_id_vec_pipelines; // src0_type/src1_type std::unordered_map set_rows_pipelines; @@ -1042,6 +1123,8 @@ class ggml_webgpu_shader_lib { webgpu_pipeline, ggml_webgpu_rms_norm_mul_pipeline_key_hash> rms_norm_mul_pipelines; + std::unordered_map + upscale_pipelines; public: ggml_webgpu_shader_lib(wgpu::Device device) { this->device = device; } @@ -1062,6 +1145,8 @@ class ggml_webgpu_shader_lib { webgpu_pipeline get_row_norm_pipeline(const ggml_webgpu_shader_lib_context & context) { ggml_webgpu_row_norm_pipeline_key key = {}; key.op = context.dst->op; + key.src_type = context.src0->type; + key.dst_type = context.dst->type; key.inplace = ggml_webgpu_tensor_equal(context.src0, context.dst); auto it = row_norm_pipelines.find(key); @@ -1076,6 +1161,10 @@ class ggml_webgpu_shader_lib { defines.push_back("RMS_NORM"); variant = "rms_norm"; break; + case GGML_OP_NORM: + defines.push_back("NORM"); + variant = "norm"; + break; case GGML_OP_L2_NORM: defines.push_back("L2_NORM"); variant = "l2_norm"; @@ -1089,6 +1178,22 @@ class ggml_webgpu_shader_lib { variant += "_inplace"; } + if (key.src_type == GGML_TYPE_F32) { + defines.push_back("SRC_F32"); + variant += "_src_f32"; + } else if (key.src_type == GGML_TYPE_F16) { + defines.push_back("SRC_F16"); + variant += "_src_f16"; + } + + if (key.dst_type == GGML_TYPE_F32) { + defines.push_back("DST_F32"); + variant += "_dst_f32"; + } else if (key.dst_type == GGML_TYPE_F16) { + defines.push_back("DST_F16"); + variant += "_dst_f16"; + } + const uint32_t row_norm_wg_size = 128u; uint32_t wg_size = std::min(context.max_wg_size, row_norm_wg_size); defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); @@ -1346,6 +1451,7 @@ class ggml_webgpu_shader_lib { case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ1_S: case GGML_TYPE_IQ4_NL: + case GGML_TYPE_MXFP4: { // Quantized types using u32 buffers for portability. defines.push_back("SRC_TYPE=u32"); @@ -1364,6 +1470,7 @@ class ggml_webgpu_shader_lib { defines.push_back(type_upper + "_SCALE_MIN"); defines.push_back(type_upper + "_TABLES"); defines.push_back(type_upper + "_GRID"); + defines.push_back(type_upper + "_LUT"); variant += "_"; variant += type_str; @@ -1373,7 +1480,7 @@ class ggml_webgpu_shader_lib { if (key.src_type == GGML_TYPE_Q1_0) { defines.push_back("BLOCK_SIZE=128u"); } else if ((key.src_type >= GGML_TYPE_Q4_0 && key.src_type <= GGML_TYPE_Q8_1) || - key.src_type == GGML_TYPE_IQ4_NL) { + key.src_type == GGML_TYPE_IQ4_NL || key.src_type == GGML_TYPE_MXFP4) { defines.push_back("BLOCK_SIZE=32u"); } else if (key.src_type >= GGML_TYPE_Q2_K) { defines.push_back("BLOCK_SIZE=256u"); @@ -1687,6 +1794,9 @@ class ggml_webgpu_shader_lib { defines.push_back(type_upper + "_GRID"); defines.push_back(type_upper + "_TABLES"); break; + case GGML_TYPE_MXFP4: + defines.push_back(type_upper + "_LUT"); + break; default: break; } @@ -1746,11 +1856,11 @@ class ggml_webgpu_shader_lib { ggml_webgpu_mul_mat_pipeline_key key = {}; key.src0_type = context.src0->type; key.src1_type = context.src1->type; - key.vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 && context.dst->ne[1] % 4 == 0 && + key.vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 && (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ? - 1 : - 0; - key.use_subgroup_matrix = context.supports_subgroup_matrix; + 1 : + 0; + key.use_subgroup_matrix = context.supports_subgroup_matrix; auto it = mul_mat_fast_pipelines.find(key); if (it != mul_mat_fast_pipelines.end()) { @@ -1806,6 +1916,28 @@ class ggml_webgpu_shader_lib { defines.push_back("U32_DEQUANT_HELPERS"); defines.push_back("SRC0_INNER_TYPE=u32"); + switch (context.src0->type) { + case GGML_TYPE_IQ1_S: + case GGML_TYPE_IQ1_M: + case GGML_TYPE_IQ4_NL: + case GGML_TYPE_IQ4_XS: + defines.push_back(type_upper + "_GRID"); + break; + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: + defines.push_back(type_upper + "_GRID"); + defines.push_back(type_upper + "_TABLES"); + break; + case GGML_TYPE_MXFP4: + defines.push_back(type_upper + "_LUT"); + break; + default: + break; + } + variant += std::string("_") + src0_name; break; } @@ -1936,6 +2068,7 @@ class ggml_webgpu_shader_lib { case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ1_S: case GGML_TYPE_IQ4_NL: + case GGML_TYPE_MXFP4: { // Quantized types using u32 buffers for portability. defines.push_back("SRC0_TYPE=u32"); @@ -1993,6 +2126,11 @@ class ggml_webgpu_shader_lib { ggml_webgpu_mul_mat_id_pipeline_key key = {}; key.src0_type = context.src0->type; key.src1_type = context.src1->type; + key.n_experts = context.src0->ne[2]; + key.vectorized = (context.src0->ne[0] % 4 == 0 && context.src0->ne[1] % 4 == 0 && + (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ? + 1 : + 0; auto it = mul_mat_id_pipelines.find(key); if (it != mul_mat_id_pipelines.end()) { @@ -2022,14 +2160,12 @@ class ggml_webgpu_shader_lib { switch (context.src0->type) { case GGML_TYPE_F32: defines.push_back("SRC0_INNER_TYPE=f32"); - defines.push_back("FLOAT"); defines.push_back("INIT_SRC0_SHMEM_FLOAT"); defines.push_back("INIT_SRC1_SHMEM_FLOAT"); variant += "_f32"; break; case GGML_TYPE_F16: defines.push_back("SRC0_INNER_TYPE=f16"); - defines.push_back("FLOAT"); defines.push_back("INIT_SRC0_SHMEM_FLOAT"); defines.push_back("INIT_SRC1_SHMEM_FLOAT"); variant += "_f16"; @@ -2045,12 +2181,35 @@ class ggml_webgpu_shader_lib { defines.push_back("U32_DEQUANT_HELPERS"); defines.push_back("SRC0_INNER_TYPE=u32"); + switch (context.src0->type) { + case GGML_TYPE_IQ1_S: + case GGML_TYPE_IQ1_M: + case GGML_TYPE_IQ4_NL: + case GGML_TYPE_IQ4_XS: + defines.push_back(type_upper + "_GRID"); + break; + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: + defines.push_back(type_upper + "_GRID"); + defines.push_back(type_upper + "_TABLES"); + break; + case GGML_TYPE_MXFP4: + defines.push_back(type_upper + "_LUT"); + break; + default: + break; + } + variant += std::string("_") + src0_name; break; } } - defines.push_back("SCALAR"); + // VEC/SCALAR controls + defines.push_back(key.vectorized ? "VEC" : "SCALAR"); // mul_mat_id is register-tile only. const uint32_t tile_k = @@ -2066,6 +2225,9 @@ class ggml_webgpu_shader_lib { // variant suffix for src1 type variant += std::string("_") + (context.src1->type == GGML_TYPE_F32 ? "f32" : "f16"); + if (key.vectorized) { + variant += "_vectorized"; + } auto processed = preprocessor.preprocess(wgsl_mul_mat_id, defines); @@ -2083,6 +2245,126 @@ class ggml_webgpu_shader_lib { return mul_mat_id_pipelines[key]; } + webgpu_pipeline get_mul_mat_id_vec_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_mul_mat_id_pipeline_key key = {}; + key.src0_type = context.src0->type; + key.src1_type = context.src1->type; + key.n_experts = context.src0->ne[2]; + key.vectorized = (context.src0->ne[0] % 4 == 0 && + (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ? + 1 : + 0; + + auto it = mul_mat_id_vec_pipelines.find(key); + if (it != mul_mat_id_vec_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "mul_mat_id_vec"; + const char * shader_src = wgsl_mul_mat_id_vec; + + // src1 type + switch (context.src1->type) { + case GGML_TYPE_F32: + defines.push_back("SRC1_INNER_TYPE=f32"); + break; + case GGML_TYPE_F16: + defines.push_back("SRC1_INNER_TYPE=f16"); + break; + default: + GGML_ABORT("Unsupported src1 type for mul_mat fast shader"); + } + + // src0 type + switch (context.src0->type) { + case GGML_TYPE_F32: + defines.push_back("SRC0_INNER_TYPE=f32"); + defines.push_back("MUL_ACC_FLOAT"); + variant += "_f32"; + break; + case GGML_TYPE_F16: + defines.push_back("SRC0_INNER_TYPE=f16"); + defines.push_back("MUL_ACC_FLOAT"); + variant += "_f16"; + break; + default: + { + // Quantized types: use helpers but accumulate in f16 + const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type); + std::string src0_name = src0_traits->type_name; + std::string type_upper = src0_name; + variant += "_" + src0_name; + std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper); + + defines.push_back("BYTE_HELPERS"); + defines.push_back("MUL_ACC_" + type_upper); + defines.push_back("U32_DEQUANT_HELPERS"); + defines.push_back("SRC0_INNER_TYPE=u32"); + switch (context.src0->type) { + case GGML_TYPE_IQ1_S: + case GGML_TYPE_IQ1_M: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_NL: + case GGML_TYPE_IQ4_XS: + defines.push_back(type_upper + "_GRID"); + break; + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: + defines.push_back(type_upper + "_GRID"); + defines.push_back(type_upper + "_TABLES"); + break; + case GGML_TYPE_MXFP4: + defines.push_back(type_upper + "_LUT"); + break; + default: + break; + } + break; + } + } + + // VEC/SCALAR controls + defines.push_back(key.vectorized ? "VEC" : "SCALAR"); + + uint32_t wg_size = WEBGPU_MUL_MAT_VEC_WG_SIZE; + uint32_t outputs_per_wg = WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG; + + if (key.src0_type == GGML_TYPE_Q1_0) { + outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG; + } else if (key.src0_type >= GGML_TYPE_Q2_K) { + outputs_per_wg = WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG; + } else if (key.src0_type >= GGML_TYPE_Q4_0) { + outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG; + } + + // variant suffix for src1 type + variant += std::string("_") + (context.src1->type == GGML_TYPE_F32 ? "f32" : "f16"); + + defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); + defines.push_back(std::string("OUTPUTS_PER_WG=") + std::to_string(outputs_per_wg)); + defines.push_back(context.supports_subgroups ? "USE_SUBGROUP_REDUCTION" : "USE_WORKGROUP_REDUCTION"); + variant += context.supports_subgroups ? "_sg_reduce" : "_wg_reduce"; + if (key.vectorized) { + variant += "_vectorized"; + } + + defines.push_back(std::string("N_EXPERTS=") + std::to_string(key.n_experts)); + + auto processed = preprocessor.preprocess(shader_src, defines); + + auto decisions = std::make_shared(); + decisions->wg_size = wg_size; + decisions->outputs_per_wg = outputs_per_wg; + + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + pipeline.context = decisions; + mul_mat_id_vec_pipelines[key] = pipeline; + return mul_mat_id_vec_pipelines[key]; + } + webgpu_pipeline get_unary_pipeline(const ggml_webgpu_shader_lib_context & context) { const bool is_unary = context.dst->op == GGML_OP_UNARY; const int op = is_unary ? (int) ggml_get_unary_op(context.dst) : context.dst->op; @@ -2254,6 +2536,37 @@ class ggml_webgpu_shader_lib { return binary_pipelines[key]; } + webgpu_pipeline get_add_id_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_add_id_pipeline_key key = {}; + key.inplace = ggml_webgpu_tensor_equal(context.src0, context.dst); + + auto it = add_id_pipelines.find(key); + if (it != add_id_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "add_id"; + const char * shader_src = wgsl_add_id; + + if (key.inplace) { + defines.push_back("INPLACE"); + variant += "_inplace"; + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + auto processed = preprocessor.preprocess(shader_src, defines); + auto pipeline_decisions = std::make_shared(); + pipeline_decisions->wg_size = context.max_wg_size; + pipeline_decisions->inplace = key.inplace; + + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + pipeline.context = pipeline_decisions; + add_id_pipelines[key] = pipeline; + return pipeline; + } + webgpu_pipeline get_concat_pipeline(const ggml_webgpu_shader_lib_context & context) { ggml_webgpu_concat_pipeline_key key = {}; key.type = context.dst->type; @@ -2335,7 +2648,7 @@ class ggml_webgpu_shader_lib { const ggml_webgpu_flash_attn_decisions decisions = ggml_webgpu_flash_attn_get_decisions(context, storage_offset_alignment); GGML_ASSERT(decisions.path != GGML_WEBGPU_FLASH_ATTN_PATH_NONE); - ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context, decisions.path); + ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context, decisions); auto it = flash_attn_pipelines.find(key); if (it != flash_attn_pipelines.end()) { return it->second; @@ -2363,6 +2676,30 @@ class ggml_webgpu_shader_lib { } variant += std::string("_") + ggml_type_name(key.kv_type); + switch (key.q_type) { + case GGML_TYPE_F32: + defines.push_back("Q_F32"); + break; + case GGML_TYPE_F16: + defines.push_back("Q_F16"); + break; + default: + GGML_ABORT("Unsupported Q type for flash attention shader"); + } + variant += std::string("_q") + ggml_type_name(key.q_type); + + switch (key.dst_type) { + case GGML_TYPE_F32: + defines.push_back("DST_F32"); + break; + case GGML_TYPE_F16: + defines.push_back("DST_F16"); + break; + default: + GGML_ABORT("Unsupported dst type for flash attention shader"); + } + variant += std::string("_dst") + ggml_type_name(key.dst_type); + if (key.has_mask) { defines.push_back("MASK"); if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) { @@ -2402,9 +2739,11 @@ class ggml_webgpu_shader_lib { shader_src = wgsl_flash_attn_vec_split; } else if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) { shader_src = wgsl_flash_attn_tile; - defines.push_back("MAX_SUBGROUP_SIZE=" + std::to_string(context.max_subgroup_size)); + defines.push_back("MIN_SUBGROUP_SIZE=" + std::to_string(context.min_subgroup_size) + "u"); + defines.push_back("MAX_SUBGROUP_SIZE=" + std::to_string(context.max_subgroup_size) + "u"); defines.push_back("KV_STAGE_STRIDE=" + std::to_string(std::max(key.head_dim_qk, key.head_dim_v))); - variant += "_tile"; + variant += "_tile_sg" + std::to_string(context.min_subgroup_size) + "_" + + std::to_string(context.max_subgroup_size); } else { defines.push_back(std::string("SG_MAT_M=") + std::to_string(context.sg_mat_m)); defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n)); @@ -2454,6 +2793,7 @@ class ggml_webgpu_shader_lib { webgpu_pipeline get_flash_attn_vec_reduce_pipeline(const ggml_webgpu_shader_lib_context & context) { ggml_webgpu_flash_attn_vec_reduce_pipeline_key key = {}; key.head_dim_v = (uint32_t) context.src2->ne[0]; + key.dst_type = context.dst->type; key.wg_size = context.max_wg_size; auto it = flash_attn_vec_reduce_pipelines.find(key); if (it != flash_attn_vec_reduce_pipelines.end()) { @@ -2463,6 +2803,18 @@ class ggml_webgpu_shader_lib { std::vector defines; std::string variant = "flash_attn_vec_reduce"; + switch (key.dst_type) { + case GGML_TYPE_F32: + defines.push_back("DST_F32"); + break; + case GGML_TYPE_F16: + defines.push_back("DST_F16"); + break; + default: + GGML_ABORT("Unsupported dst type for flash attention vec reduce shader"); + } + variant += std::string("_dst") + ggml_type_name(key.dst_type); + defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(key.head_dim_v)); variant += std::string("_hsv") + std::to_string(key.head_dim_v); @@ -2781,6 +3133,72 @@ class ggml_webgpu_shader_lib { return im2col_pipelines[key]; } + webgpu_pipeline get_upscale_pipeline(const ggml_webgpu_shader_lib_context & context) { + const uint32_t mode_flags = (uint32_t) ggml_get_op_params_i32(context.dst, 0); + const uint32_t base_mode = mode_flags & 0xFFu; + const bool antialias = (mode_flags & GGML_SCALE_FLAG_ANTIALIAS) != 0u; + + ggml_webgpu_upscale_pipeline_key key = {}; + key.input_type = context.src0->type; + key.output_type = context.dst->type; + key.base_mode = base_mode; + key.antialias = antialias; + + auto it = upscale_pipelines.find(key); + if (it != upscale_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "upscale"; + + if (key.input_type == GGML_TYPE_F16) { + defines.push_back("SRC_F16"); + variant += "_src_f16"; + } else { + variant += "_src_f32"; + } + + if (key.output_type == GGML_TYPE_F16) { + defines.push_back("DST_F16"); + variant += "_dst_f16"; + } else { + variant += "_dst_f32"; + } + + switch (base_mode) { + case GGML_SCALE_MODE_NEAREST: + defines.push_back("NEAREST"); + variant += "_nearest"; + break; + case GGML_SCALE_MODE_BILINEAR: + defines.push_back("BILINEAR"); + variant += "_bilinear"; + break; + case GGML_SCALE_MODE_BICUBIC: + defines.push_back("BICUBIC"); + variant += "_bicubic"; + break; + default: + GGML_ABORT("Unsupported upscale mode"); + } + + if (antialias) { + defines.push_back("ANTIALIAS"); + variant += "_aa"; + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + auto processed = preprocessor.preprocess(wgsl_upscale, defines); + auto decisions = std::make_shared(); + decisions->wg_size = context.max_wg_size; + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + pipeline.context = decisions; + upscale_pipelines[key] = pipeline; + return upscale_pipelines[key]; + } + private: static webgpu_pipeline ggml_webgpu_create_pipeline(wgpu::Device & device, std::string shader_code, diff --git a/ggml/src/ggml-webgpu/ggml-webgpu.cpp b/ggml/src/ggml-webgpu/ggml-webgpu.cpp index f7fd73ae14..b24101c78b 100644 --- a/ggml/src/ggml-webgpu/ggml-webgpu.cpp +++ b/ggml/src/ggml-webgpu/ggml-webgpu.cpp @@ -187,6 +187,7 @@ struct webgpu_capabilities { uint32_t sg_mat_k = 0; uint32_t subgroup_size = 0; + uint32_t min_subgroup_size = 0; uint32_t max_subgroup_size = 0; size_t memset_bytes_per_thread; }; @@ -1404,15 +1405,12 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context & ctx, case GGML_TYPE_Q5_0: case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: - case GGML_TYPE_Q8_1: case GGML_TYPE_Q6_K: case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q2_K: case GGML_TYPE_Q1_0: - use_fast = true; - break; case GGML_TYPE_IQ1_S: case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ2_XXS: @@ -1422,7 +1420,8 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context & ctx, case GGML_TYPE_IQ3_S: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: - use_fast = is_vec; + case GGML_TYPE_MXFP4: + use_fast = true; break; default: break; @@ -1443,6 +1442,7 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context & ctx, shader_lib_ctx.sg_mat_m = ctx->global_ctx->capabilities.sg_mat_m; shader_lib_ctx.sg_mat_n = ctx->global_ctx->capabilities.sg_mat_n; shader_lib_ctx.sg_mat_k = ctx->global_ctx->capabilities.sg_mat_k; + shader_lib_ctx.min_subgroup_size = ctx->global_ctx->capabilities.min_subgroup_size; shader_lib_ctx.max_subgroup_size = ctx->global_ctx->capabilities.max_subgroup_size; // Get or create pipeline @@ -1527,11 +1527,74 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context & ctx, return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y); } +static webgpu_encoded_op ggml_webgpu_mul_mat_id_vec(webgpu_context & ctx, + ggml_tensor * src0, + ggml_tensor * src1, + ggml_tensor * src2, + ggml_tensor * dst) { + const uint32_t param_n_expert = (uint32_t) src0->ne[2]; + const uint32_t param_n_expert_used = (uint32_t) dst->ne[1]; + + ggml_webgpu_shader_lib_context shader_lib_ctx = {}; + shader_lib_ctx.src0 = src0; + shader_lib_ctx.src1 = src1; + shader_lib_ctx.src2 = src2; + shader_lib_ctx.dst = dst; + shader_lib_ctx.supports_subgroups = ctx->global_ctx->capabilities.supports_subgroups; + shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup; + + webgpu_pipeline pipeline = ctx->shader_lib->get_mul_mat_id_vec_pipeline(shader_lib_ctx); + + std::vector params = { + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src2) / ggml_type_size(src2->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + (uint32_t) src0->ne[0], + (uint32_t) src0->ne[1], + param_n_expert, + param_n_expert_used, + (uint32_t) src1->ne[1], + (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)), + (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)), + (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)), + (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)), + }; + + std::vector entries = { + ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0), ggml_webgpu_tensor_align_offset(ctx, src0), + ggml_webgpu_tensor_binding_size(ctx, src0)), + ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(src1), ggml_webgpu_tensor_align_offset(ctx, src1), + ggml_webgpu_tensor_binding_size(ctx, src1)), + ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(src2), ggml_webgpu_tensor_align_offset(ctx, src2), + ggml_webgpu_tensor_binding_size(ctx, src2)), + ggml_webgpu_make_bind_group_entry(3, ggml_webgpu_tensor_buf(dst), ggml_webgpu_tensor_align_offset(ctx, dst), + ggml_webgpu_tensor_binding_size(ctx, dst)), + }; + + uint32_t wg_x = 1; + uint32_t wg_y = 1; + + auto * decisions = static_cast(pipeline.context.get()); + + const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension; + uint32_t output_groups = CEIL_DIV(dst->ne[0], decisions->outputs_per_wg); + uint32_t total_wg = output_groups * param_n_expert_used; + compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y); + + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y); +} + static webgpu_encoded_op ggml_webgpu_mul_mat_id(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * src1, ggml_tensor * src2, ggml_tensor * dst) { + // we can use mat-vec fast path + if (dst->ne[2] == 1) { + return ggml_webgpu_mul_mat_id_vec(ctx, src0, src1, src2, dst); + } + ggml_webgpu_shader_lib_context shader_lib_ctx = {}; shader_lib_ctx.src0 = src0; shader_lib_ctx.src1 = src1; @@ -1688,6 +1751,7 @@ static webgpu_encoded_op ggml_webgpu_flash_attn(webgpu_context & ctx, shader_lib_ctx.sg_mat_m = ctx->global_ctx->capabilities.sg_mat_m; shader_lib_ctx.sg_mat_n = ctx->global_ctx->capabilities.sg_mat_n; shader_lib_ctx.sg_mat_k = ctx->global_ctx->capabilities.sg_mat_k; + shader_lib_ctx.min_subgroup_size = ctx->global_ctx->capabilities.min_subgroup_size; shader_lib_ctx.max_subgroup_size = ctx->global_ctx->capabilities.max_subgroup_size; webgpu_pipeline pipeline = ctx->shader_lib->get_flash_attn_pipeline( shader_lib_ctx, ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment); @@ -2080,6 +2144,56 @@ static webgpu_encoded_op ggml_webgpu_binary_op(webgpu_context & ctx, return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x); } +static webgpu_encoded_op ggml_webgpu_add_id(webgpu_context & ctx, + ggml_tensor * src0, + ggml_tensor * src1, + ggml_tensor * src2, + ggml_tensor * dst) { + ggml_webgpu_shader_lib_context shader_lib_ctx = {}; + shader_lib_ctx.src0 = src0; + shader_lib_ctx.src1 = src1; + shader_lib_ctx.src2 = src2; + shader_lib_ctx.dst = dst; + shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup; + + webgpu_pipeline pipeline = ctx->shader_lib->get_add_id_pipeline(shader_lib_ctx); + + auto * decisions = static_cast(pipeline.context.get()); + + std::vector params = { + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src2) / ggml_type_size(src2->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)), + (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)), + (uint32_t) (src2->nb[0] / ggml_type_size(src2->type)), + (uint32_t) (src2->nb[1] / ggml_type_size(src2->type)), + (uint32_t) dst->ne[0], + (uint32_t) dst->ne[1], + (uint32_t) dst->ne[2], + }; + + std::vector entries; + + entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0)); + entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1)); + entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, src2)); + + if (!decisions->inplace) { + entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 3, dst)); + } + + uint32_t wg_x = 1; + uint32_t wg_y = 1; + uint32_t total_wg = ggml_nrows(dst); + const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension; + compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y); + + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y); +} + static webgpu_encoded_op ggml_webgpu_concat(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * src1, @@ -2762,6 +2876,49 @@ static bool ggml_webgpu_can_fuse_rms_norm_mul(const struct ggml_cgraph * cgraph, return true; } +static webgpu_encoded_op ggml_webgpu_upscale(webgpu_context ctx, ggml_tensor * src, ggml_tensor * dst) { + const uint32_t mode_flags = (uint32_t) ggml_get_op_params_i32(dst, 0); + std::vector params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + + (uint32_t) (src->nb[0] / ggml_type_size(src->type)), + (uint32_t) (src->nb[1] / ggml_type_size(src->type)), + (uint32_t) (src->nb[2] / ggml_type_size(src->type)), + (uint32_t) (src->nb[3] / ggml_type_size(src->type)), + + (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)), + + (uint32_t) src->ne[0], + (uint32_t) src->ne[1], + (uint32_t) src->ne[2], + (uint32_t) src->ne[3], + + (uint32_t) dst->ne[0], + (uint32_t) dst->ne[1], + (uint32_t) dst->ne[2], + (uint32_t) dst->ne[3], + + mode_flags }; + + std::vector entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src), + ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) }; + + ggml_webgpu_shader_lib_context shader_lib_ctx = {}; + shader_lib_ctx.src0 = src; + shader_lib_ctx.dst = dst; + shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup; + + webgpu_pipeline pipeline = ctx->shader_lib->get_upscale_pipeline(shader_lib_ctx); + auto * decisions = static_cast(pipeline.context.get()); + uint32_t total_wg = CEIL_DIV((uint32_t) ggml_nelements(dst), decisions->wg_size); + uint32_t wg_x = std::min(ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension, total_wg); + uint32_t wg_y = CEIL_DIV(total_wg, wg_x); + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y); +} + // Returns the encoded command, or std::nullopt if the operation is a no-op static std::optional ggml_webgpu_encode(webgpu_context ctx, ggml_cgraph * cgraph, @@ -2810,6 +2967,8 @@ static std::optional ggml_webgpu_encode(webgpu_context ctx, case GGML_OP_MUL: case GGML_OP_DIV: return ggml_webgpu_binary_op(ctx, src0, src1, node); + case GGML_OP_ADD_ID: + return ggml_webgpu_add_id(ctx, src0, src1, src2, node); case GGML_OP_CONCAT: return ggml_webgpu_concat(ctx, src0, src1, node); case GGML_OP_REPEAT: @@ -2822,6 +2981,7 @@ static std::optional ggml_webgpu_encode(webgpu_context ctx, } else { return ggml_webgpu_row_norm(ctx, src0, node); } + case GGML_OP_NORM: case GGML_OP_L2_NORM: return ggml_webgpu_row_norm(ctx, src0, node); case GGML_OP_ROPE: @@ -2869,6 +3029,8 @@ static std::optional ggml_webgpu_encode(webgpu_context ctx, return ggml_webgpu_conv_2d(ctx, src0, src1, node); case GGML_OP_IM2COL: return ggml_webgpu_im2col(ctx, src0, src1, node); + case GGML_OP_UPSCALE: + return ggml_webgpu_upscale(ctx, src0, node); default: return std::nullopt; } @@ -3107,8 +3269,8 @@ static ggml_backend_i ggml_backend_webgpu_i = { /* .free = */ ggml_backend_webgpu_free, /* .set_tensor_async = */ ggml_backend_webgpu_set_tensor_async, /* .get_tensor_async = */ NULL, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, /* .synchronize = */ ggml_backend_webgpu_synchronize, /* .graph_plan_create = */ NULL, @@ -3361,6 +3523,7 @@ static size_t ggml_backend_webgpu_buffer_type_get_alloc_size(ggml_backend_buffer shader_lib_ctx.sg_mat_m = ctx->webgpu_global_ctx->capabilities.sg_mat_m; shader_lib_ctx.sg_mat_n = ctx->webgpu_global_ctx->capabilities.sg_mat_n; shader_lib_ctx.sg_mat_k = ctx->webgpu_global_ctx->capabilities.sg_mat_k; + shader_lib_ctx.min_subgroup_size = ctx->webgpu_global_ctx->capabilities.min_subgroup_size; shader_lib_ctx.max_subgroup_size = ctx->webgpu_global_ctx->capabilities.max_subgroup_size; const ggml_webgpu_flash_attn_decisions decisions = ggml_webgpu_flash_attn_get_decisions( @@ -3559,8 +3722,9 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) { #endif ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix = valid_subgroup_matrix_config; - // For subgroup matrix code to be the most efficient, we would like the subgroup size to be consistent and accurate. - // Unfortunately, that is not possible, so we use the maximum subgroup size reported by the adapter. + // Runtime subgroup size can be any supported size in this range. Shaders + // that allocate per-lane register arrays must size them for the minimum. + ctx->webgpu_global_ctx->capabilities.min_subgroup_size = info.subgroupMinSize; ctx->webgpu_global_ctx->capabilities.max_subgroup_size = info.subgroupMaxSize; // Initialize device std::vector required_features = { wgpu::FeatureName::ShaderF16 }; @@ -3754,6 +3918,7 @@ static bool ggml_webgpu_supported_qtype(ggml_type type) { case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: + case GGML_TYPE_MXFP4: return true; default: return false; @@ -3792,6 +3957,9 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type) && (src1->type == op->type); break; + case GGML_OP_ADD_ID: + supports_op = src0->type == GGML_TYPE_F32; + break; case GGML_OP_CONCAT: supports_op = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32); break; @@ -3849,6 +4017,7 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const case GGML_TYPE_IQ1_M: case GGML_TYPE_IQ4_NL: case GGML_TYPE_IQ4_XS: + case GGML_TYPE_MXFP4: supports_op = true; break; default: @@ -3879,6 +4048,16 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const case GGML_TYPE_Q4_K: case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ1_S: + case GGML_TYPE_IQ1_M: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_NL: + case GGML_TYPE_IQ4_XS: + case GGML_TYPE_MXFP4: supports_op = true; break; default: @@ -3907,11 +4086,14 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const shader_lib_ctx.dst = const_cast(op); shader_lib_ctx.supports_subgroups = ctx->webgpu_global_ctx->capabilities.supports_subgroups; shader_lib_ctx.supports_subgroup_matrix = ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix; + shader_lib_ctx.max_wg_size = + ctx->webgpu_global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup; shader_lib_ctx.wg_mem_limit_bytes = ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize; shader_lib_ctx.sg_mat_m = ctx->webgpu_global_ctx->capabilities.sg_mat_m; shader_lib_ctx.sg_mat_n = ctx->webgpu_global_ctx->capabilities.sg_mat_n; shader_lib_ctx.sg_mat_k = ctx->webgpu_global_ctx->capabilities.sg_mat_k; + shader_lib_ctx.min_subgroup_size = ctx->webgpu_global_ctx->capabilities.min_subgroup_size; shader_lib_ctx.max_subgroup_size = ctx->webgpu_global_ctx->capabilities.max_subgroup_size; const ggml_webgpu_flash_attn_decisions decisions = ggml_webgpu_flash_attn_get_decisions( @@ -3923,9 +4105,9 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const break; } if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) { - const size_t min_bytes = - ggml_webgpu_flash_attn_wg_mem_bytes(decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0], - (uint32_t) src2->ne[0], has_mask, decisions.kv_direct); + const size_t min_bytes = ggml_webgpu_flash_attn_wg_mem_bytes( + decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0], (uint32_t) src2->ne[0], has_mask, + decisions.kv_direct, decisions.path); if (min_bytes > limit_bytes) { supports_op = false; } @@ -3933,9 +4115,9 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const } if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) { - const size_t min_bytes = - ggml_webgpu_flash_attn_wg_mem_bytes(decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0], - (uint32_t) src2->ne[0], has_mask, decisions.kv_direct); + const size_t min_bytes = ggml_webgpu_flash_attn_wg_mem_bytes( + decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0], (uint32_t) src2->ne[0], has_mask, + decisions.kv_direct, decisions.path); if (min_bytes > limit_bytes) { supports_op = false; } @@ -3946,15 +4128,16 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const supports_op = false; break; } - const size_t min_bytes = - ggml_webgpu_flash_attn_wg_mem_bytes(decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0], - (uint32_t) src2->ne[0], has_mask, decisions.kv_direct); + const size_t min_bytes = ggml_webgpu_flash_attn_wg_mem_bytes( + decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0], (uint32_t) src2->ne[0], has_mask, + decisions.kv_direct, decisions.path); if (min_bytes > limit_bytes) { supports_op = false; } break; } case GGML_OP_RMS_NORM: + case GGML_OP_NORM: case GGML_OP_L2_NORM: supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32; break; @@ -4092,6 +4275,10 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const case GGML_OP_SUM_ROWS: supports_op = op->type == GGML_TYPE_F32 && src0->type == op->type && ggml_is_contiguous_rows(src0); break; + case GGML_OP_UPSCALE: + supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && + (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); + break; default: break; } diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/add_id.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/add_id.wgsl new file mode 100644 index 0000000000..2573926cb8 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/add_id.wgsl @@ -0,0 +1,64 @@ +struct Params { + offset_src0: u32, + offset_src1: u32, + offset_ids: u32, + offset_dst: u32, + + nb01: u32, + nb02: u32, + nb11: u32, + nb20: u32, + nb21: u32, + + ne0: u32, + ne1: u32, + ne2: u32, +}; + +@group(0) @binding(0) var src0: array; // [n_embd, n_experts_used, n_token] +@group(0) @binding(1) var src1: array; // [n_embd, n_experts] +@group(0) @binding(2) var ids: array; // [n_experts_used, n_token] + +#ifdef INPLACE + +@group(0) @binding(3) +var params: Params; + +#else + +@group(0) @binding(3) +var dst: array; + +@group(0) @binding(4) +var params: Params; + +#endif + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(workgroup_id) wg_id: vec3, + @builtin(num_workgroups) num_wg: vec3, + @builtin(local_invocation_id) local_id: vec3) { + + let wg_linear = wg_id.x + wg_id.y * num_wg.x; + + if (wg_linear < params.ne1 * params.ne2) { + let thread_id = local_id.x; + let i2 = wg_linear / params.ne1; + let i1 = wg_linear % params.ne1; + + let i11 = u32(ids[params.offset_ids + i1 * params.nb20 + i2 * params.nb21]); + + let src0_row = params.offset_src0 + i1 * params.nb01 + i2 * params.nb02; + let src1_row = params.offset_src1 + i11 * params.nb11; + let dst_row = params.offset_dst + i1 * params.ne0 + i2 * (params.ne0 * params.ne1); + + for (var i = thread_id;i < params.ne0; i += WG_SIZE) { +#ifdef INPLACE + src0[src0_row + i] = src0[src0_row + i] + src1[src1_row + i]; +#else + dst[dst_row + i] = src0[src0_row + i] + src1[src1_row + i]; +#endif + } + } + +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl index 14c045b0ba..372ea79bf9 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl @@ -896,3 +896,10 @@ const kvalues_iq4nl = array( ); #endif + +#ifdef MXFP4_LUT +const kvalues_mxfp4 = array( + 0, 1, 2, 3, 4, 6, 8, 12, 0, -1, -2, -3, -4, -6, -8, -12 +); +#endif + diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_tile.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_tile.wgsl index 37ea23b80c..ae8036b9ac 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_tile.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_tile.wgsl @@ -1,12 +1,33 @@ enable f16; enable subgroups; +#ifdef Q_F16 +#define Q_TYPE f16 +#else +#define Q_TYPE f32 +#endif + +#ifdef KV_F32 +#define KV_TYPE f32 +#else +#define KV_TYPE f16 +#endif + +#ifdef DST_F16 +#define DST_TYPE f16 +#else +#define DST_TYPE f32 +#endif + #define HEAD_DIM_QK 64 #define HEAD_DIM_V 64 #define KV_STAGE_STRIDE 64 #define Q_TILE 4 #define KV_TILE 64 #define WG_SIZE 128 +#ifndef MIN_SUBGROUP_SIZE +#define MIN_SUBGROUP_SIZE MAX_SUBGROUP_SIZE +#endif struct Params { offset_q: u32, @@ -41,13 +62,13 @@ struct Params { m1: f32, }; -@group(0) @binding(0) var Q: array; +@group(0) @binding(0) var Q: array; #ifdef KV_OVERLAP -@group(0) @binding(1) var K: array>; +@group(0) @binding(1) var K: array>; #define V K #else -@group(0) @binding(1) var K: array>; -@group(0) @binding(2) var V: array>; +@group(0) @binding(1) var K: array>; +@group(0) @binding(2) var V: array>; #endif #if defined(MASK) && defined(SINKS) @@ -92,17 +113,17 @@ struct Params { #endif #endif -@group(0) @binding(DST_BINDING) var dst: array>; +@group(0) @binding(DST_BINDING) var dst: array>; @group(0) @binding(PARAMS_BINDING) var params: Params; const FLOAT_MIN: f32 = -1.0e9; const Q_CHUNKS: u32 = HEAD_DIM_QK / 4u; const V_CHUNKS: u32 = HEAD_DIM_V / 4u; -const SCORE_REGS_PER_LANE: u32 = (KV_TILE + MAX_SUBGROUP_SIZE - 1u) / MAX_SUBGROUP_SIZE; -const OUT_REGS_PER_LANE: u32 = (V_CHUNKS + MAX_SUBGROUP_SIZE - 1u) / MAX_SUBGROUP_SIZE; +const SCORE_REGS_PER_LANE: u32 = (KV_TILE + MIN_SUBGROUP_SIZE - 1u) / MIN_SUBGROUP_SIZE; +const OUT_REGS_PER_LANE: u32 = (V_CHUNKS + MIN_SUBGROUP_SIZE - 1u) / MIN_SUBGROUP_SIZE; -var q_shmem: array; -var kv_shmem: array; +var q_shmem: array; +var kv_shmem: array; var p_shmem: array; @compute @workgroup_size(WG_SIZE) @@ -158,10 +179,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let q_col = elem_idx % HEAD_DIM_QK; let head_q_row = q_row_start + q_tile_row; let global_q_row_offset = q_head_offset + head_q_row * params.stride_q1; - q_shmem[elem_idx] = f16(select( + q_shmem[elem_idx] = select( 0.0, - Q[global_q_row_offset + q_col] * params.scale, - head_q_row < params.seq_len_q)); + f32(Q[global_q_row_offset + q_col]) * params.scale, + head_q_row < params.seq_len_q); } workgroupBarrier(); @@ -192,10 +213,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let k_vec_index = (k_head_offset + global_k_row * params.stride_k1 + chunk * 4u) >> 2u; let k4 = K[k_vec_index]; let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u; - kv_shmem[kv_off + 0u] = k4.x; - kv_shmem[kv_off + 1u] = k4.y; - kv_shmem[kv_off + 2u] = k4.z; - kv_shmem[kv_off + 3u] = k4.w; + kv_shmem[kv_off + 0u] = f32(k4.x); + kv_shmem[kv_off + 1u] = f32(k4.y); + kv_shmem[kv_off + 2u] = f32(k4.z); + kv_shmem[kv_off + 3u] = f32(k4.w); } workgroupBarrier(); @@ -213,16 +234,16 @@ fn main(@builtin(workgroup_id) wg_id: vec3, for (var chunk = 0u; chunk < Q_CHUNKS; chunk += 1u) { let q_off = q_base + chunk * 4u; let qv = vec4( - f32(q_shmem[q_off + 0u]), - f32(q_shmem[q_off + 1u]), - f32(q_shmem[q_off + 2u]), - f32(q_shmem[q_off + 3u])); + q_shmem[q_off + 0u], + q_shmem[q_off + 1u], + q_shmem[q_off + 2u], + q_shmem[q_off + 3u]); let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u; let kv = vec4( - f32(kv_shmem[kv_off + 0u]), - f32(kv_shmem[kv_off + 1u]), - f32(kv_shmem[kv_off + 2u]), - f32(kv_shmem[kv_off + 3u])); + kv_shmem[kv_off + 0u], + kv_shmem[kv_off + 1u], + kv_shmem[kv_off + 2u], + kv_shmem[kv_off + 3u]); dot_val += dot(qv, kv); } #ifdef LOGIT_SOFTCAP @@ -264,10 +285,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let v_vec_index = (v_head_offset + global_v_row * params.stride_v1 + chunk * 4u) >> 2u; let v4 = V[v_vec_index]; let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u; - kv_shmem[kv_off + 0u] = v4.x; - kv_shmem[kv_off + 1u] = v4.y; - kv_shmem[kv_off + 2u] = v4.z; - kv_shmem[kv_off + 3u] = v4.w; + kv_shmem[kv_off + 0u] = f32(v4.x); + kv_shmem[kv_off + 1u] = f32(v4.y); + kv_shmem[kv_off + 2u] = f32(v4.z); + kv_shmem[kv_off + 3u] = f32(v4.w); } workgroupBarrier(); @@ -288,10 +309,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let p = p_shmem[subgroup_p_offset + kv_local]; let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u; let v4 = vec4( - f32(kv_shmem[kv_off + 0u]), - f32(kv_shmem[kv_off + 1u]), - f32(kv_shmem[kv_off + 2u]), - f32(kv_shmem[kv_off + 3u])); + kv_shmem[kv_off + 0u], + kv_shmem[kv_off + 1u], + kv_shmem[kv_off + 2u], + kv_shmem[kv_off + 3u]); acc += p * v4; } out_regs[reg_idx] = acc; @@ -324,7 +345,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, continue; } let dst_vec_index = (row_base + chunk * 4u) >> 2u; - dst[dst_vec_index] = out_regs[reg_idx] * inv_exp_sum; + dst[dst_vec_index] = vec4(out_regs[reg_idx] * inv_exp_sum); } } } diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_reduce.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_reduce.wgsl index 9a0de82a56..1091d74407 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_reduce.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_reduce.wgsl @@ -2,6 +2,12 @@ diagnostic(off, subgroup_uniformity); enable f16; enable subgroups; +#ifdef DST_F16 +#define DST_TYPE f16 +#else +#define DST_TYPE f32 +#endif + // Default values #define HEAD_DIM_V 64 #define WG_SIZE 128 @@ -17,7 +23,7 @@ struct Params { }; @group(0) @binding(0) var tmp: array; -@group(0) @binding(1) var dst: array>; +@group(0) @binding(1) var dst: array>; @group(0) @binding(2) var params: Params; const FLOAT_MIN: f32 = -1.0e9; @@ -72,7 +78,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, if (thread == 0u) { let dst_vec_index = (row_base + elem_base) >> 2u; - dst[dst_vec_index] = vec4(sum_x, sum_y, sum_z, sum_w) * inv_s; + dst[dst_vec_index] = vec4(vec4(sum_x, sum_y, sum_z, sum_w) * inv_s); } } } diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl index b1e234784a..30ebbebe77 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl @@ -8,6 +8,18 @@ enable subgroups; #define KV_TYPE f16 #endif +#ifdef Q_F16 +#define Q_TYPE f16 +#else +#define Q_TYPE f32 +#endif + +#ifdef DST_F16 +#define DST_TYPE f16 +#else +#define DST_TYPE f32 +#endif + #define HEAD_DIM_QK 64 #define HEAD_DIM_V 64 @@ -89,7 +101,7 @@ struct Params { nwg: u32, }; -@group(0) @binding(0) var Q: array; +@group(0) @binding(0) var Q: array; #ifdef KV_OVERLAP #if defined(KV_Q4_0) || defined(KV_Q8_0) @group(0) @binding(1) var K: array; @@ -191,41 +203,41 @@ struct Params { @group(0) @binding(BLK_BINDING) var blk: array; #endif @group(0) @binding(TMP_BINDING) var tmp: array; -@group(0) @binding(DST_BINDING) var dst: array>; +@group(0) @binding(DST_BINDING) var dst: array>; @group(0) @binding(PARAMS_BINDING) var params: Params; // Just a very small float value. const FLOAT_MIN: f32 = -1.0e9; -var q_shmem: array; +var q_shmem: array; #ifndef KV_DIRECT const kv_shmem_size = KV_TILE * max(HEAD_DIM_QK, HEAD_DIM_V); // we can reuse the same shmem for K and V since we only need one at a time -var kv_shmem: array; +var kv_shmem: array; #endif -var o_shmem: array; +var o_shmem: array; #ifdef MASK // storage for mask values -var mask_shmem: array; +var mask_shmem: array; #endif // note that we reuse the same storage for both since we only need one at a time -var inter_shmem: array; +var inter_shmem: array; // Storage for row max and exp sum during online softmax fn calc_softmax_term(kv_idx: u32, slope: f32, has_bias: bool, apply_mask: bool) -> f32 { var v = select(FLOAT_MIN, - f32(inter_shmem[kv_idx]) * params.scale, + inter_shmem[kv_idx] * params.scale, kv_idx < KV_TILE); #ifdef LOGIT_SOFTCAP v = params.logit_softcap * tanh(v); #endif #ifdef MASK if (apply_mask) { - var mask_val = select(0.0, f32(mask_shmem[kv_idx]), kv_idx < KV_TILE); + var mask_val = select(0.0, mask_shmem[kv_idx], kv_idx < KV_TILE); v += select(mask_val, slope * mask_val, has_bias); } #endif @@ -289,10 +301,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, // load the single Q row into shared memory for (var elem_idx = local_id.x; elem_idx < HEAD_DIM_QK; elem_idx += WG_SIZE) { let global_q_row_offset = q_head_offset + q_row_start * params.stride_q1; - q_shmem[elem_idx] = f16(select( + q_shmem[elem_idx] = select( 0.0, - Q[global_q_row_offset + elem_idx], - q_row_start < params.seq_len_q)); + f32(Q[global_q_row_offset + elem_idx]), + q_row_start < params.seq_len_q); } for (var kv_tile = iwg * KV_TILE; kv_tile < params.seq_len_kv; kv_tile += KV_TILE * params.nwg) { @@ -308,7 +320,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let blk_state = blk_state_local; let skip_tile = blk_state == 0u; for (var elem_idx = local_id.x; elem_idx < KV_TILE; elem_idx += WG_SIZE) { - inter_shmem[elem_idx] = f16(0.0); + inter_shmem[elem_idx] = 0.0; } // load k tile into shared memory @@ -331,8 +343,8 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let q_packed = bitcast(vec2(q_0, q_1)); for (var k = 0u; k < 4u; k++) { let q_byte = get_byte(q_packed, k); - let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d; - let q_lo = (f16(q_byte & 0xF) - 8.0) * d; + let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * f32(d); + let q_lo = (f32(q_byte & 0xF) - 8.0) * f32(d); let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k; kv_shmem[row_offset + idx] = q_lo; kv_shmem[row_offset + idx + 16u] = q_hi; @@ -359,7 +371,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let q_packed = bitcast(vec2(q_0, q_1)); for (var k = 0u; k < 4u; k++) { let q_byte = get_byte_i32(q_packed, k); - let q_val = f16(q_byte) * d; + let q_val = f32(q_byte) * f32(d); let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k; kv_shmem[row_offset + idx] = q_val; } @@ -377,10 +389,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let in_bounds = global_k_row < params.seq_len_kv && (k_col + 3u) < HEAD_DIM_QK; let vec_idx = (global_k_row_offset + k_col) >> 2u; let k4 = select(vec4(0.0), K[vec_idx], in_bounds); - kv_shmem[elem_idx + 0u] = f16(k4.x); - kv_shmem[elem_idx + 1u] = f16(k4.y); - kv_shmem[elem_idx + 2u] = f16(k4.z); - kv_shmem[elem_idx + 3u] = f16(k4.w); + kv_shmem[elem_idx + 0u] = f32(k4.x); + kv_shmem[elem_idx + 1u] = f32(k4.y); + kv_shmem[elem_idx + 2u] = f32(k4.z); + kv_shmem[elem_idx + 3u] = f32(k4.w); } #endif @@ -401,20 +413,20 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let q_off = i * 4u; let qv = vec4( - f32(q_shmem[q_off + 0u]), - f32(q_shmem[q_off + 1u]), - f32(q_shmem[q_off + 2u]), - f32(q_shmem[q_off + 3u])); + q_shmem[q_off + 0u], + q_shmem[q_off + 1u], + q_shmem[q_off + 2u], + q_shmem[q_off + 3u]); #ifdef KV_DIRECT let idx = k_head_offset + (kv_tile + kv_idx) * params.stride_k1 + (i * 4u); let kv = vec4(K[idx >> 2u]); #else let idx = kv_idx * HEAD_DIM_QK + (i * 4u); let kv = vec4( - f32(kv_shmem[idx + 0u]), - f32(kv_shmem[idx + 1u]), - f32(kv_shmem[idx + 2u]), - f32(kv_shmem[idx + 3u])); + kv_shmem[idx + 0u], + kv_shmem[idx + 1u], + kv_shmem[idx + 2u], + kv_shmem[idx + 3u]); #endif partial_sum += dot(qv, kv); } @@ -435,7 +447,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let sum_bcast = subgroupShuffle(sum, num_of_threads * ty); if (tx == 0u && kv_valid) { - inter_shmem[kv_idx] = f16(sum_bcast); + inter_shmem[kv_idx] = sum_bcast; } } } @@ -450,7 +462,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let global_k_col = kv_tile + elem_idx; let mask_in_bounds = q_row_start < params.seq_len_q && global_k_col < params.seq_len_kv; let mask_idx = mask_global_offset + global_k_col; - mask_shmem[elem_idx] = select(0.0, mask[mask_idx], mask_in_bounds); + mask_shmem[elem_idx] = select(0.0f, f32(mask[mask_idx]), mask_in_bounds); } } #else @@ -483,7 +495,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE); total_exp_term += subgroupAdd(cur_p); if (kv_idx < KV_TILE) { - inter_shmem[kv_idx] = f16(cur_p); + inter_shmem[kv_idx] = cur_p; } } @@ -493,7 +505,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, exp_sum = exp_sum * cur_exp + total_exp_term; for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) { - o_shmem[elem_idx] = f16(f32(o_shmem[elem_idx]) * cur_exp); + o_shmem[elem_idx] = o_shmem[elem_idx] * cur_exp; } } @@ -517,8 +529,8 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let q_packed = bitcast(vec2(q_0, q_1)); for (var k = 0u; k < 4u; k++) { let q_byte = get_byte(q_packed, k); - let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d; - let q_lo = (f16(q_byte & 0xF) - 8.0) * d; + let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * f32(d); + let q_lo = (f32(q_byte & 0xF) - 8.0) * f32(d); let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k; kv_shmem[row_offset + idx] = q_lo; kv_shmem[row_offset + idx + 16u] = q_hi; @@ -545,7 +557,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let q_packed = bitcast(vec2(q_0, q_1)); for (var k = 0u; k < 4u; k++) { let q_byte = get_byte_i32(q_packed, k); - let q_val = f16(q_byte) * d; + let q_val = f32(q_byte) * f32(d); let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k; kv_shmem[row_offset + idx] = q_val; } @@ -563,10 +575,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, let in_bounds = global_v_row < params.seq_len_kv && (v_col + 3u) < HEAD_DIM_V; let vec_idx = (global_v_row_offset + v_col) >> 2u; let v4 = select(vec4(0.0), V[vec_idx], in_bounds); - kv_shmem[elem_idx + 0u] = f16(v4.x); - kv_shmem[elem_idx + 1u] = f16(v4.y); - kv_shmem[elem_idx + 2u] = f16(v4.z); - kv_shmem[elem_idx + 3u] = f16(v4.w); + kv_shmem[elem_idx + 0u] = f32(v4.x); + kv_shmem[elem_idx + 1u] = f32(v4.y); + kv_shmem[elem_idx + 2u] = f32(v4.z); + kv_shmem[elem_idx + 3u] = f32(v4.w); } #endif @@ -589,17 +601,17 @@ fn main(@builtin(workgroup_id) wg_id: vec3, continue; } - let p = f32(inter_shmem[kv_idx]); + let p = inter_shmem[kv_idx]; #ifdef KV_DIRECT let v_idx = v_head_offset + v_row * params.stride_v1 + vec_col * 4u; let v4 = vec4(V[v_idx >> 2u]); #else let v_idx = kv_idx * HEAD_DIM_V + vec_col * 4u; let v4 = vec4( - f32(kv_shmem[v_idx + 0u]), - f32(kv_shmem[v_idx + 1u]), - f32(kv_shmem[v_idx + 2u]), - f32(kv_shmem[v_idx + 3u])); + kv_shmem[v_idx + 0u], + kv_shmem[v_idx + 1u], + kv_shmem[v_idx + 2u], + kv_shmem[v_idx + 3u]); #endif lo += p * v4; } @@ -630,10 +642,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3, if (ty_pv == 0u) { let elem_base = vec_col * 4u; - o_shmem[elem_base + 0u] = f16(f32(o_shmem[elem_base + 0u]) + lo_x); - o_shmem[elem_base + 1u] = f16(f32(o_shmem[elem_base + 1u]) + lo_y); - o_shmem[elem_base + 2u] = f16(f32(o_shmem[elem_base + 2u]) + lo_z); - o_shmem[elem_base + 3u] = f16(f32(o_shmem[elem_base + 3u]) + lo_w); + o_shmem[elem_base + 0u] = o_shmem[elem_base + 0u] + lo_x; + o_shmem[elem_base + 1u] = o_shmem[elem_base + 1u] + lo_y; + o_shmem[elem_base + 2u] = o_shmem[elem_base + 2u] + lo_z; + o_shmem[elem_base + 3u] = o_shmem[elem_base + 3u] + lo_w; } } } @@ -660,7 +672,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, exp_sum = exp_sum * max_exp + sink_exp_sum; for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) { - o_shmem[elem_idx] = f16(f32(o_shmem[elem_idx]) * max_exp); + o_shmem[elem_idx] = o_shmem[elem_idx] * max_exp; } } workgroupBarrier(); @@ -681,7 +693,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3, ); let dst_vec_index: u32 = (row_base + elem_base) >> 2u; - dst[dst_vec_index] = v; + dst[dst_vec_index] = vec4(v); } } else { let rid = batch_idx * rows_per_batch + head_idx * params.seq_len_q + q_row_start; diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl index 5710cd3546..78d61a93d2 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl @@ -652,6 +652,27 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) { } #endif +#ifdef MXFP4 +fn copy_elements(src_base: u32, dst_base: u32, offset: u32) { + let block_byte_base = (src_base + offset) * 17; + let eu8 = get_byte(load_u32_at_src(block_byte_base), 0); + let d = ldexp(1.0, i32(eu8) - 128); + for (var j: u32 = 0u; j < 4; j++) { + let q_byte_offset = block_byte_base + 1 + j * 4; + let q_packed = load_u32_at_src(q_byte_offset); + for (var k: u32 = 0; k < 4; k++) { + let q_byte = get_byte(q_packed, k); + let q_hi = f32(kvalues_mxfp4[(q_byte >> 4) & 0xF]) * d; + let q_lo = f32(kvalues_mxfp4[q_byte & 0xFu]) * d; + let dst_offset = dst_base + offset * 32 + j * 4 + k; + dst[dst_offset] = q_lo; + dst[dst_offset + 16u] = q_hi; + } + } +} +#endif + + @group(0) @binding(0) var src: array; diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl index 15b22c4f73..eb2a8368f4 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl @@ -100,34 +100,37 @@ const BLOCK_SIZE_BYTES = 18u; // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. override BLOCKS_K = TILE_K/BLOCK_SIZE; const NQ = 16u; -const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 -const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; +const BYTES_PER_THREAD = 8u; // NQ(16) weights use 8 bytes of q +const BYTES_PER_INNER_LOOP = 4u; // == sizeof(q_packed) fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { let blck_idx = i / BLOCK_SIZE; - let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; - let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let block_offset = (i % BLOCK_SIZE) / NQ; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * BYTES_PER_THREAD; let tile_m = blck_idx / BLOCKS_K; let global_m = offset_m + tile_m; let block_k = blck_idx % BLOCKS_K; - let global_k = k_outer / BLOCK_SIZE + block_k; + let global_block_k = k_outer / BLOCK_SIZE + block_k; - if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { - let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k; let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; let d = load_f16_at_src0(block_byte_base); - for (var j = 0u; j < F16_PER_THREAD; j += 2) { - let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j); + // store NQ(16) weights + for (var j = 0u; j < BYTES_PER_THREAD / BYTES_PER_INNER_LOOP; j += 1) { + + let q_byte_offset = block_byte_base + 2u + block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP; let q_packed = load_u32_at_src0(q_byte_offset); - for (var k = 0u; k < 4u; k++) { + + for (var k = 0u; k < BYTES_PER_INNER_LOOP; k++) { let q_byte = get_byte(q_packed, k); let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d; let q_lo = (f16(q_byte & 0xF) - 8.0) * d; - shmem[shmem_idx + j * 2 + k] = q_lo; - shmem[shmem_idx + j * 2 + k + 16u] = q_hi; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = q_lo; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = q_hi; } } } @@ -141,35 +144,38 @@ const BLOCK_SIZE_BYTES = 20u; // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. override BLOCKS_K = TILE_K/BLOCK_SIZE; const NQ = 16u; -const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 -const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; +const BYTES_PER_THREAD = 8u; // NQ(16) weights use 8 bytes of q +const BYTES_PER_INNER_LOOP = 4u; // == sizeof(q_packed) fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { let blck_idx = i / BLOCK_SIZE; - let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; - let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let block_offset = (i % BLOCK_SIZE) / NQ; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * BYTES_PER_THREAD; let tile_m = blck_idx / BLOCKS_K; let global_m = offset_m + tile_m; let block_k = blck_idx % BLOCKS_K; - let global_k = k_outer / BLOCK_SIZE + block_k; + let global_block_k = k_outer / BLOCK_SIZE + block_k; - if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { - let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k; let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; let d = load_f16_at_src0(block_byte_base); let m = load_f16_at_src0(block_byte_base + 2u); - for (var j = 0u; j < F16_PER_THREAD; j += 2) { - let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j); + // store NQ(16) weights + for (var j = 0u; j < BYTES_PER_THREAD / BYTES_PER_INNER_LOOP; j += 1) { + + let q_byte_offset = block_byte_base + 4u + block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP; let q_packed = load_u32_at_src0(q_byte_offset); - for (var k = 0u; k < 4u; k++) { + + for (var k = 0u; k < BYTES_PER_INNER_LOOP; k++) { let q_byte = get_byte(q_packed, k); let q_lo = f16(q_byte & 0xF) * d + m; let q_hi = f16((q_byte >> 4) & 0xF) * d + m; - shmem[shmem_idx + j * 2 + k] = q_lo; - shmem[shmem_idx + j * 2 + k + 16u] = q_hi; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = q_lo; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = q_hi; } } } @@ -178,52 +184,49 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3 #endif // INIT_SRC0_SHMEM_Q4_1 #ifdef INIT_SRC0_SHMEM_Q5_0 -// 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block const BLOCK_SIZE = 32u; const BLOCK_SIZE_BYTES = 22u; // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. // tile_k is defined as 32u, so blocks_k ends up being 1 always override BLOCKS_K = TILE_K / BLOCK_SIZE; const NQ = 16u; -const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 -const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights +const BYTES_PER_THREAD = 8u; // NQ(16) weights use 8 bytes of q +const BYTES_PER_INNER_LOOP = 4u; // == sizeof(q_packed) fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { let blck_idx = i / BLOCK_SIZE; - let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; - let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let block_offset = (i % BLOCK_SIZE) / NQ; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * BYTES_PER_THREAD; let tile_m = blck_idx / BLOCKS_K; let global_m = offset_m + tile_m; let block_k = blck_idx % BLOCKS_K; - let global_k = k_outer / BLOCK_SIZE + block_k; + let global_block_k = k_outer / BLOCK_SIZE + block_k; - if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { - let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k; let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; let d = load_f16_at_src0(block_byte_base); let qh_packed = load_u32_at_src0(block_byte_base + 2u); - for (var j = 0u; j < 2; j++) { - let q_byte_offset = block_byte_base + 6u + 2u * (block_offset + j * 2u); + // store NQ(16) weights + for (var j = 0u; j < BYTES_PER_THREAD / BYTES_PER_INNER_LOOP; j += 1) { + let q_byte_offset = block_byte_base + 6u + block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP; let q_packed = load_u32_at_src0(q_byte_offset); - let j_adjusted = j + (block_offset / 2u); - - - for (var k = 0u; k < 4u; k++) { + for (var k = 0u; k < BYTES_PER_INNER_LOOP; k++) { let q_byte = get_byte(q_packed, k); - let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10; + let byte_idx = block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP + k; + let qh_hi = (qh_packed >> (byte_idx + 12u)) & 0x10; let q_hi = (f16(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d; - let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10; + let qh_lo = ((qh_packed >> byte_idx) << 4) & 0x10; let q_lo = (f16((q_byte & 0xF) | qh_lo) - 16.0) * d; - - shmem[shmem_idx + j * 4u + k] = q_lo; // store first weight - shmem[shmem_idx + j * 4u + k + 16u] = q_hi; // store second weight + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = q_lo; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = q_hi; } } } @@ -232,54 +235,49 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3 #endif // INIT_SRC0_SHMEM_Q5_0 #ifdef INIT_SRC0_SHMEM_Q5_1 -// 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block const BLOCK_SIZE = 32u; const BLOCK_SIZE_BYTES = 24u; // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. -// tile_k is defined as 32u, so blocks_k ends up being 1 always override BLOCKS_K = TILE_K / BLOCK_SIZE; const NQ = 16u; -const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 -const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights +const BYTES_PER_THREAD = 8u; // NQ(16) weights use 8 bytes of q +const BYTES_PER_INNER_LOOP = 4u; // == sizeof(q_packed) fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { let blck_idx = i / BLOCK_SIZE; - let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; - let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let block_offset = (i % BLOCK_SIZE) / NQ; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * BYTES_PER_THREAD; let tile_m = blck_idx / BLOCKS_K; let global_m = offset_m + tile_m; let block_k = blck_idx % BLOCKS_K; - let global_k = k_outer / BLOCK_SIZE + block_k; + let global_block_k = k_outer / BLOCK_SIZE + block_k; - if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { - let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k; let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; let d = load_f16_at_src0(block_byte_base); let m = load_f16_at_src0(block_byte_base + 2u); let qh_packed = load_u32_at_src0(block_byte_base + 4u); - for (var j = 0u; j < 2; j++) { - - let q_byte_offset = block_byte_base + 8u + 2u * (block_offset + j * 2u); + // store NQ(16) weights + for (var j = 0u; j < BYTES_PER_THREAD / BYTES_PER_INNER_LOOP; j += 1) { + let q_byte_offset = block_byte_base + 8u + block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP; let q_packed = load_u32_at_src0(q_byte_offset); - let j_adjusted = j + (block_offset / 2u); - - - for (var k = 0u; k < 4u; k++) { + for (var k = 0u; k < BYTES_PER_INNER_LOOP; k++) { let q_byte = get_byte(q_packed, k); - let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10; - let q_hi = (f16(((q_byte >> 4) & 0xF) | qh_hi)) * d + m; - let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10; - let q_lo = (f16((q_byte & 0xF) | qh_lo)) * d + m; - - shmem[shmem_idx + j * 4u + k] = q_lo; // store first weight - shmem[shmem_idx + j * 4u + k + 16u] = q_hi; // store second weight + let byte_idx = block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP + k; + let qh_hi = (qh_packed >> (byte_idx + 12u)) & 0x10; + let q_hi = f16(((q_byte >> 4) & 0xF) | qh_hi) * d + m; + let qh_lo = ((qh_packed >> byte_idx) << 4) & 0x10; + let q_lo = f16((q_byte & 0xF) | qh_lo) * d + m; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = q_lo; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = q_hi; } } } @@ -293,33 +291,34 @@ const BLOCK_SIZE_BYTES = 34u; // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. override BLOCKS_K = TILE_K/BLOCK_SIZE; const NQ = 16u; -const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16 -const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread +const BYTES_PER_THREAD = 16u; // NQ(16) weights use 16 bytes of q +const BYTES_PER_INNER_LOOP = 4u; // == sizeof(q_packed) fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { let blck_idx = i / BLOCK_SIZE; - let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; - let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let block_offset = (i % BLOCK_SIZE) / NQ; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * BYTES_PER_THREAD; let tile_m = blck_idx / BLOCKS_K; let global_m = offset_m + tile_m; let block_k = blck_idx % BLOCKS_K; - let global_k = k_outer / BLOCK_SIZE + block_k; + let global_block_k = k_outer / BLOCK_SIZE + block_k; - if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { - let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k; let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; let d = load_f16_at_src0(block_byte_base); - for (var j = 0u; j < F16_PER_THREAD; j+=2) { - let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j); + // store NQ(16) weights + for (var j = 0u; j < BYTES_PER_THREAD / BYTES_PER_INNER_LOOP; j += 1) { + let q_byte_offset = block_byte_base + 2u + block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP; let q_packed = load_u32_at_src0(q_byte_offset); - for (var k = 0u; k < 4u; k++) { + for (var k = 0u; k < BYTES_PER_INNER_LOOP; k++) { let q_byte = get_byte_i32(q_packed, k); let q_val = f16(q_byte) * d; - shmem[shmem_idx + j * 2 + k] = q_val; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = q_val; } } } @@ -333,34 +332,35 @@ const BLOCK_SIZE_BYTES = 36u; // the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. override BLOCKS_K = TILE_K/BLOCK_SIZE; const NQ = 16u; -const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16 -const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread, 2 threads per block +const BYTES_PER_THREAD = 16u; // NQ(16) weights use 16 bytes of q +const BYTES_PER_INNER_LOOP = 4u; // == sizeof(q_packed) fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { let blck_idx = i / BLOCK_SIZE; - let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; - let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let block_offset = (i % BLOCK_SIZE) / NQ; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * BYTES_PER_THREAD; let tile_m = blck_idx / BLOCKS_K; let global_m = offset_m + tile_m; let block_k = blck_idx % BLOCKS_K; - let global_k = k_outer / BLOCK_SIZE + block_k; + let global_block_k = k_outer / BLOCK_SIZE + block_k; - if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { - let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k; let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; let d = load_f16_at_src0(block_byte_base); let m = load_f16_at_src0(block_byte_base + 2u); - for (var j = 0u; j < F16_PER_THREAD; j+=2) { - let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j); + // store NQ(16) weights + for (var j = 0u; j < BYTES_PER_THREAD / BYTES_PER_INNER_LOOP; j += 1) { + let q_byte_offset = block_byte_base + 4u + block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP; let q_packed = load_u32_at_src0(q_byte_offset); - for (var k = 0u; k < 4u; k++) { + for (var k = 0u; k < BYTES_PER_INNER_LOOP; k++) { let q_byte = get_byte_i32(q_packed, k); let q_val = f16(q_byte) * d + m; - shmem[shmem_idx + j * 2 + k] = q_val; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = q_val; } } } @@ -740,3 +740,471 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3 } } #endif // INIT_SRC0_SHMEM_Q6_K + +#ifdef INIT_SRC0_SHMEM_IQ4_NL +const BLOCK_SIZE = 32u; +const BLOCK_SIZE_BYTES = 18u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let d = load_f16_at_src0(block_byte_base); + + let pos = k_in_block % 16u; + let nib_shift = (k_in_block / 16u) * 4u; + let q_packed = load_u32_at_src0(block_byte_base + 2u + (pos / 4u) * 4u); + let nib = (get_byte(q_packed, pos % 4u) >> nib_shift) & 0xFu; + + shmem[elem_idx] = d * f16(kvalues_iq4nl[nib]); + } +} +#endif // INIT_SRC0_SHMEM_IQ4_NL + +#ifdef INIT_SRC0_SHMEM_IQ4_XS +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 136u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + + let d_scales_h = load_u32_at_src0(block_byte_base); + let d = bitcast>(d_scales_h).x; + let scales_h = d_scales_h >> 16u; + + let ib = k_in_block / 32u; + let pos = k_in_block % 32u; + + let scales_l_word = load_u32_at_src0(block_byte_base + 4u); + let ls_lo = (get_byte(scales_l_word, ib / 2u) >> ((ib & 1u) * 4u)) & 0xFu; + let ls_hi = ((scales_h >> (2u * ib)) & 3u) << 4u; + let dl = d * f16(i32(ls_lo | ls_hi) - 32); + + let iqs = ib * 16u + (pos % 16u); + let nib_shift = (pos / 16u) * 4u; + let q_packed = load_u32_at_src0(block_byte_base + 8u + (iqs / 4u) * 4u); + let nib = (get_byte(q_packed, iqs % 4u) >> nib_shift) & 0xFu; + + shmem[elem_idx] = dl * f16(kvalues_iq4nl[nib]); + } +} +#endif // INIT_SRC0_SHMEM_IQ4_XS + +#ifdef INIT_SRC0_SHMEM_IQ1_S +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 50u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let d = load_f16_as_f32_at_src0(block_byte_base); + + let ib = k_in_block / 32u; + let pos = k_in_block % 32u; + let l = pos / 8u; + let j = pos % 8u; + + let qh = load_u32_at_src0(block_byte_base + 34u + ib * 2u) & 0xFFFFu; + let dl = d * (2.0 * f32((qh >> 12u) & 7u) + 1.0); + let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000u) != 0u); + + let qs_w = load_u32_at_src0(block_byte_base + 2u + ib * 4u); + let ig = (get_byte(qs_w, l) | (((qh >> (3u * l)) & 7u) << 8u)) * 8u; + + let gw = iq1_grid[(ig + j) / 16u]; + let g = (gw >> (((ig + j) % 16u) * 2u)) & 3u; + let gs = bitcast(g << 30u) >> 30u; + + shmem[elem_idx] = f16(dl * (f32(gs) + delta)); + } +} +#endif // INIT_SRC0_SHMEM_IQ1_S + +#ifdef INIT_SRC0_SHMEM_IQ1_M +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 56u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + + let scales0 = load_u32_at_src0(block_byte_base + 48u); + let scales1 = load_u32_at_src0(block_byte_base + 52u); + let scale_packed = ((scales0 >> 12u) & 0xFu) | + ((scales0 >> 24u) & 0x00F0u) | + ((scales1 >> 4u) & 0x0F00u) | + ((scales1 >> 16u) & 0xF000u); + let d = f32(bitcast>(scale_packed).x); + + let ib = k_in_block / 32u; + let pos = k_in_block % 32u; + let l = pos / 8u; + let j = pos % 8u; + + let scales = select(scales0, scales1, ib >= 4u); + let sw = (scales >> (16u * ((ib / 2u) % 2u))) & 0xFFFFu; + let s_pair = (sw >> (6u * (ib % 2u) + 3u * (l / 2u))) & 0x7u; + let dl = d * f32(2u * s_pair + 1u); + + let qh_word = load_u32_at_src0(block_byte_base + 32u + (ib / 2u) * 4u); + let qh = qh_word >> (16u * (ib % 2u)); + let qh_nib = (qh >> (4u * l)) & 0xFu; + + let qs_w = load_u32_at_src0(block_byte_base + ib * 4u); + let idx = get_byte(qs_w, l) | ((qh_nib & 7u) << 8u); + let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh_nib & 0x8u) != 0u); + + let ig = idx * 8u; + let gw = iq1_grid[(ig + j) / 16u]; + let g = (gw >> (((ig + j) % 16u) * 2u)) & 3u; + let gs = bitcast(g << 30u) >> 30u; + + shmem[elem_idx] = f16(dl * (f32(gs) + delta)); + } +} +#endif // INIT_SRC0_SHMEM_IQ1_M + +#ifdef INIT_SRC0_SHMEM_IQ2_XXS +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 66u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let d = load_f16_as_f32_at_src0(block_byte_base); + + let entry_idx = k_in_block / 8u; + let j = k_in_block % 8u; + + let ib = entry_idx & ~3u; + let l = entry_idx & 3u; + + let aux0 = load_u32_at_src0(block_byte_base + 2u + ib * 2u); + let aux1 = load_u32_at_src0(block_byte_base + 2u + (ib + 2u) * 2u); + let db = d * (0.5 + f32(aux1 >> 28u)) * 0.25; + + let ig = get_byte(aux0, l) * 8u; + let is = (aux1 >> (7u * l)) & 127u; + let signs = get_byte(ksigns_iq2xs[is / 4u], is % 4u); + + let g = get_byte(iq2xxs_grid[(ig + j) / 4u], (ig + j) % 4u); + let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u); + + shmem[elem_idx] = f16(db * f32(g) * m); + } +} +#endif // INIT_SRC0_SHMEM_IQ2_XXS + +#ifdef INIT_SRC0_SHMEM_IQ2_XS +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 74u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let d = load_f16_as_f32_at_src0(block_byte_base); + + let entry_idx = k_in_block / 8u; + let j = k_in_block % 8u; + + let ib = entry_idx & ~3u; + let l = entry_idx & 3u; + + let scales_word = load_u32_at_src0(block_byte_base + 66u + (ib / 16u) * 4u); + let s = get_byte(scales_word, (ib % 16u) / 4u); + let s_nib = select(s & 0xFu, (s >> 4u) & 0xFu, (l / 2u) != 0u); + let dl = d * (0.5 + f32(s_nib)) * 0.25; + + let qs_word = load_u32_at_src0(block_byte_base + 2u + (ib + l) * 2u); + let qs_val = qs_word & 0xFFFFu; + let ig = (qs_val & 511u) * 8u; + let is = qs_val >> 9u; + let signs = get_byte(ksigns_iq2xs[is / 4u], is % 4u); + + let g = get_byte(iq2xs_grid[(ig + j) / 4u], (ig + j) % 4u); + let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u); + + shmem[elem_idx] = f16(dl * f32(g) * m); + } +} +#endif // INIT_SRC0_SHMEM_IQ2_XS + +#ifdef INIT_SRC0_SHMEM_IQ2_S +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 82u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let d = load_f16_as_f32_at_src0(block_byte_base); + + let ib = k_in_block / 32u; + let l = (k_in_block % 32u) / 8u; + let j = k_in_block % 8u; + + let scales_word = load_u32_at_src0(block_byte_base + 74u + (ib / 4u) * 4u); + let s = get_byte(scales_word, ib % 4u); + let s_nib = select(s & 0xFu, (s >> 4u) & 0xFu, (l / 2u) != 0u); + let dl = d * (0.5 + f32(s_nib)) * 0.25; + + let qs_word = load_u32_at_src0(block_byte_base + 2u + ib * 4u); + let qh_word = load_u32_at_src0(block_byte_base + 66u + (ib / 4u) * 4u); + let qh_b = (get_byte(qh_word, ib % 4u) << (8u - 2u * l)) & 0x300u; + let ig = (get_byte(qs_word, l) | qh_b) * 8u; + + let signs_word = load_u32_at_src0(block_byte_base + 34u + ib * 4u); + let signs = get_byte(signs_word, l); + + let g = get_byte(iq2s_grid[(ig + j) / 4u], (ig + j) % 4u); + let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u); + + shmem[elem_idx] = f16(dl * f32(g) * m); + } +} +#endif // INIT_SRC0_SHMEM_IQ2_S + +#ifdef INIT_SRC0_SHMEM_IQ3_XXS +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 98u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let d = load_f16_as_f32_at_src0(block_byte_base); + + let ib_pair = k_in_block / 32u; + let in_pair = k_in_block % 32u; + let l = in_pair / 8u; + let in_l = in_pair % 8u; + let k2 = in_l / 4u; + let j = in_l % 4u; + + let ib = ib_pair * 2u; + let sc_sign_off = block_byte_base + 2u + (ib + 32u) * 2u; + let sc_sign = load_u32_at_src0(sc_sign_off); + let db = d * (0.5 + f32(sc_sign >> 28u)) * 0.5; + let is = (sc_sign >> (7u * l)) & 127u; + let signs = get_byte(ksigns_iq2xs[is / 4u], is % 4u); + + let ig_word = load_u32_at_src0(block_byte_base + 2u + (ib * 2u + l) * 2u) & 0xFFFFu; + let ig_byte = get_byte(ig_word, k2); + let g = get_byte(iq3xxs_grid[ig_byte], j); + let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[k2], j) & signs) != 0u); + + shmem[elem_idx] = f16(db * f32(g) * m); + } +} +#endif // INIT_SRC0_SHMEM_IQ3_XXS + +#ifdef INIT_SRC0_SHMEM_IQ3_S +const BLOCK_SIZE = 256u; +const BLOCK_SIZE_BYTES = 110u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let d = load_f16_as_f32_at_src0(block_byte_base); + + let ib = k_in_block / 64u; + let rest = k_in_block % 64u; + let k = rest / 32u; + let in_k = rest % 32u; + let l = in_k / 8u; + let in_l = in_k % 8u; + let k2 = in_l / 4u; + let j = in_l % 4u; + + let scales_word = load_u32_at_src0(block_byte_base + 106u); + let s = get_byte(scales_word, ib); + let s_nib = select(s & 0xFu, (s >> 4u) & 0xFu, k != 0u); + let dl = d * (1.0 + 2.0 * f32(s_nib)); + + let qh_word = load_u32_at_src0(block_byte_base + 66u + (ib / 2u) * 4u); + let qh_byte = get_byte(qh_word, (ib % 2u) * 2u + k); + + let ig_word = load_u32_at_src0(block_byte_base + 2u + (ib * 8u + k * 4u + l) * 2u) & 0xFFFFu; + let ig_lo = get_byte(ig_word, 0u) | ((qh_byte << (8u - 2u * l)) & 256u); + let ig_hi = get_byte(ig_word, 1u) | ((qh_byte << (7u - 2u * l)) & 256u); + let ig = select(ig_lo, ig_hi, k2 != 0u); + + let signs_word = load_u32_at_src0(block_byte_base + 74u + (ib * 2u + k) * 4u); + let signs = get_byte(signs_word, l); + + let g = get_byte(iq3s_grid[ig], j); + let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[k2], j) & signs) != 0u); + + shmem[elem_idx] = f16(dl * f32(g) * m); + } +} +#endif // INIT_SRC0_SHMEM_IQ3_S + +#ifdef INIT_SRC0_SHMEM_MXFP4 +const BLOCK_SIZE = 32u; +const BLOCK_SIZE_BYTES = 17u; +// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. +override BLOCKS_K = TILE_K/BLOCK_SIZE; +const NQ = 16u; +const BYTES_PER_THREAD = 8u; // NQ(16) weights uses 8 bytes of q +const BYTES_PER_INNER_LOOP = 4u; // == sizeof(q_packed) + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / NQ; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * BYTES_PER_THREAD; + + let tile_m = blck_idx / BLOCKS_K; + let global_m = offset_m + tile_m; + let block_k = blck_idx % BLOCKS_K; + let global_block_k = k_outer / BLOCK_SIZE + block_k; + + if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k; + let block_byte_base = src0_idx * BLOCK_SIZE_BYTES; + let eu8 = get_byte(load_u32_at_src0(block_byte_base), 0); + let e = ldexp(1.0, i32(eu8) - 128); + + // store NQ(16) weights + for (var j = 0u; j < BYTES_PER_THREAD / BYTES_PER_INNER_LOOP; j += 1) { + + let q_byte_offset = block_byte_base + 1u + block_offset * BYTES_PER_THREAD + j * BYTES_PER_INNER_LOOP; + let q_packed = load_u32_at_src0(q_byte_offset); + + for (var k = 0u; k < BYTES_PER_INNER_LOOP; k++) { + let q_byte = get_byte(q_packed, k); + let q_hi = f32(kvalues_mxfp4[(q_byte >> 4) & 0xF]) * e; + let q_lo = f32(kvalues_mxfp4[q_byte & 0xF]) * e; + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = f16(q_lo); + shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = f16(q_hi); + } + } + } + } +} +#endif // INIT_SRC0_SHMEM_MXFP4 diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_vec.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_vec.wgsl new file mode 100644 index 0000000000..6ff9bcf2df --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_vec.wgsl @@ -0,0 +1,154 @@ +#ifdef USE_SUBGROUP_REDUCTION +enable subgroups; +#endif +enable f16; + +#define DECLARE_BYTE_LOADERS_SRC0 +#include "common_decls.tmpl" + +#include "mul_mat_vec_acc.tmpl" + +struct MulMatIdVecParams { + offset_src0: u32, + offset_src1: u32, + offset_ids: u32, + offset_dst: u32, + + k: u32, + m: u32, + n_expert: u32, + n_expert_used: u32, + b_ne1: u32, + + stride_01: u32, + stride_11: u32, + stride_02: u32, + stride_12: u32, +}; + +@group(0) @binding(0) var src0: array; // [cols, rows, n_expert] +@group(0) @binding(1) var src1: array; // [cols, b_ne1, n_tokens(1)] +@group(0) @binding(2) var ids: array; // [n_experd_used, n_tokens(1)] +@group(0) @binding(3) var dst: array; // [rows, n_expert_used, n_tokens(1)] + +// "mul_mat_vec_acc.tmpl" requires params.k, params.m, params.stride_01 +@group(0) @binding(4) var params: MulMatIdVecParams; + +// Flattened as [row][thread] to keep each row's reduction contiguous in memory. +var partial_sums: array; + +fn partial_index(row: u32, thread: u32) -> u32 { + return row * WG_SIZE + thread; +} + +var gathered_count_ids: array; +var gathered_expert_used: array; + +@compute @workgroup_size(WG_SIZE) +fn main( + @builtin(local_invocation_id) local_id: vec3, + @builtin(workgroup_id) wg_id: vec3, + @builtin(num_workgroups) num_wg: vec3 +#ifdef USE_SUBGROUP_REDUCTION + , @builtin(subgroup_id) subgroup_id: u32, + @builtin(subgroup_invocation_id) subgroup_invocation_id: u32, + @builtin(num_subgroups) num_subgroups: u32, + @builtin(subgroup_size) subgroup_size: u32 +#endif +) { + + let thread_id = local_id.x; + + for (var i = thread_id;i < params.n_expert;i += WG_SIZE) { + gathered_count_ids[i] = 0; + } + + workgroupBarrier(); + + // gather the selected experts for the target token. + for (var col = thread_id;col < params.n_expert_used;col += WG_SIZE) { + let expert = ids[params.offset_ids + col]; + gathered_count_ids[expert] = 1; + gathered_expert_used[expert] = col; + } + + workgroupBarrier(); + + let output_groups:u32 = (params.m + OUTPUTS_PER_WG - 1u) / OUTPUTS_PER_WG; + let wg_linear = wg_id.y * num_wg.x + wg_id.x; + + var own_expert:u32 = 0; + var wg_in_batch:u32 = 0; + var wg_sum:u32 = 0; + + for (var i = 0u;i < params.n_expert;i += 1) { + let wg_vec_count = gathered_count_ids[i]; // 1 or 0 + let wg_per_matrix = output_groups * wg_vec_count; + if (wg_sum <= wg_linear && wg_linear < wg_sum + wg_per_matrix) { + own_expert = i; + wg_in_batch = wg_linear - wg_sum; + break; + } + wg_sum += wg_per_matrix; + } + + let row_base = (wg_linear % output_groups) * OUTPUTS_PER_WG; + let dst1_stride = params.m; + + let src0_batch_offset = params.offset_src0 + own_expert * params.stride_02; + let src1_idx_base = params.offset_src1 + (gathered_expert_used[own_expert] % params.b_ne1) * params.stride_11; + let dst_idx_base = params.offset_dst + gathered_expert_used[own_expert] * dst1_stride + row_base; + + let acc = accumulate_vec_dot(thread_id, row_base, src0_batch_offset, src1_idx_base); + +#ifdef USE_SUBGROUP_REDUCTION + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let subgroup_total = subgroupAdd(acc[row]); + if (subgroup_invocation_id == 0u) { + partial_sums[partial_index(row, subgroup_id)] = subgroup_total; + } + } + + workgroupBarrier(); + + for (var row = subgroup_id; (row < OUTPUTS_PER_WG) && (row_base + row < params.m); row += num_subgroups) { + let output_row = row_base + row; + var row_acc = 0.0f; + for (var k = subgroup_invocation_id; k < num_subgroups; k += subgroup_size) { + row_acc += partial_sums[partial_index(row, k)]; + } + let row_total = subgroupAdd(row_acc); + if (subgroup_invocation_id == 0) { + dst[dst_idx_base + row] = row_total; + } + } +#endif + +#ifdef USE_WORKGROUP_REDUCTION + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + partial_sums[partial_index(row, thread_id)] = acc[row]; + } + + workgroupBarrier(); + + var stride:u32 = WG_SIZE / 2u; + + while (stride > 0) { + if (thread_id < stride) { + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + partial_sums[partial_index(row, thread_id)] += partial_sums[partial_index(row, thread_id + stride)]; + } + } + + workgroupBarrier(); + stride = stride / 2; + } + + if (thread_id < OUTPUTS_PER_WG) { + let output_row = row_base + thread_id; + if (output_row < params.m) { + dst[dst_idx_base + thread_id] = partial_sums[partial_index(thread_id, 0)]; + } + } +#endif +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl index a8000439bf..a194cf4046 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl @@ -6,38 +6,7 @@ enable f16; #define DECLARE_BYTE_LOADERS_SRC0 #include "common_decls.tmpl" -#ifdef U32_DEQUANT_HELPERS -#define SRC0_TYPE u32 - -fn byte_of(v: u32, b: u32) -> u32 { - return (v >> (b * 8u)) & 0xFFu; -} - -fn sbyte_of(v: u32, b: u32) -> i32 { - let raw = i32((v >> (b * 8u)) & 0xFFu); - return select(raw, raw - 256, raw >= 128); -} -#endif - -#ifdef VEC -#define VEC_SIZE 4u -#define SRC0_TYPE vec4 -#define SRC1_TYPE vec4 - -fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 { - return f32(dot(SRC1_TYPE(src0_val), src1_val)); -} -#endif - -#ifdef SCALAR -#define VEC_SIZE 1u -#define SRC0_TYPE SRC0_INNER_TYPE -#define SRC1_TYPE SRC1_INNER_TYPE - -fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 { - return f32(src0_val) * f32(src1_val); -} -#endif +#include "mul_mat_vec_acc.tmpl" struct MulMatParams { offset_src0: u32, @@ -62,6 +31,7 @@ struct MulMatParams { @group(0) @binding(1) var src1: array; @group(0) @binding(2) var dst: array; +// "mul_mat_vec_acc.tmpl" requires params.k, params.m, params.stride_01 @group(0) @binding(3) var params: MulMatParams; // Flattened as [row][thread] to keep each row's reduction contiguous in memory. @@ -108,1255 +78,7 @@ fn main( let src1_idx_base = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12; let dst_idx_base = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + row_base; - var acc: array; - -#ifdef MUL_ACC_FLOAT - let k_vec = params.k / VEC_SIZE; - let src1_idx_base_vec = src1_idx_base / VEC_SIZE; - - // Each thread walks K, loads from the vector, and updates - // a small block of output rows held in registers. - for (var k = thread_id; k < k_vec; k += WG_SIZE) { - let x = src1[src1_idx_base_vec + k]; - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let src0_idx = (src0_batch_offset + output_row * params.stride_01) / VEC_SIZE + k; - acc[row] += inner_dot(src0[src0_idx], x); - } - } - } -#endif - -#ifdef MUL_ACC_Q1_0 -#define BLOCK_SIZE 128 -#define BLOCK_SIZE_BYTES 18 -#define THREADS_PER_BLOCK 16 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % THREADS_PER_BLOCK; - for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let q_byte = load_u32_at_src0(block_byte_base + 2u + thread_within_block) & 0xFFu; - var row_sum = 0.0; - for (var bit = 0u; bit < 8u; bit++) { - let w = select(-d, d, ((q_byte >> bit) & 1u) != 0u); - row_sum += w * x_block[bit]; - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_Q4_0 -#define BLOCK_SIZE 32 -#define BLOCK_SIZE_BYTES 18 -#define THREADS_PER_BLOCK 4 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % 4; - for (var block = thread_id/THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE/THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4] = f32(src1[x_base + i + 16]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - var row_sum = 0.0; - - let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * thread_within_block); - for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { - let q_byte = get_byte(q_packed, byte_idx); - let q_lo = (f32(q_byte & 0xFu) - 8.0) * d; - let q_hi = (f32((q_byte >> 4u) & 0xFu) - 8.0) * d; - row_sum += q_lo * x_block[byte_idx]; - row_sum += q_hi * x_block[byte_idx + 4u]; - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_Q4_1 -#define BLOCK_SIZE 32 -#define BLOCK_SIZE_BYTES 20 -#define THREADS_PER_BLOCK 4 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % THREADS_PER_BLOCK; - for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4] = f32(src1[x_base + i + 16]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let m = f32(load_f16_at_src0(block_byte_base + 2u)); - var row_sum = 0.0; - - let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * thread_within_block); - for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { - let q_byte = get_byte(q_packed, byte_idx); - let q_lo = f32(q_byte & 0xFu) * d + m; - let q_hi = f32((q_byte >> 4u) & 0xFu) * d + m; - row_sum += q_lo * x_block[byte_idx]; - row_sum += q_hi * x_block[byte_idx + 4u]; - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_Q5_0 -#define BLOCK_SIZE 32 -#define BLOCK_SIZE_BYTES 22 -#define THREADS_PER_BLOCK 4 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % THREADS_PER_BLOCK; - for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4] = f32(src1[x_base + i + 16]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let qh_packed = load_u32_at_src0(block_byte_base + 2u); - let q_packed = load_u32_at_src0(block_byte_base + 6u + 4u * thread_within_block); - let qh_shift = thread_within_block * 4u; - var row_sum = 0.0; - - for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { - let q_byte = get_byte(q_packed, byte_idx); - let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u; - let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u; - let q_lo = (f32((q_byte & 0xFu) | qh_lo) - 16.0) * d; - let q_hi = (f32(((q_byte >> 4u) & 0xFu) | qh_hi) - 16.0) * d; - row_sum += q_lo * x_block[byte_idx]; - row_sum += q_hi * x_block[byte_idx + 4u]; - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_Q5_1 -#define BLOCK_SIZE 32 -#define BLOCK_SIZE_BYTES 24 -#define THREADS_PER_BLOCK 4 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % THREADS_PER_BLOCK; - for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4] = f32(src1[x_base + i + 16]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let m = f32(load_f16_at_src0(block_byte_base + 2u)); - let qh_packed = load_u32_at_src0(block_byte_base + 4u); - let q_packed = load_u32_at_src0(block_byte_base + 8u + 4u * thread_within_block); - let qh_shift = thread_within_block * 4u; - var row_sum = 0.0; - - for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { - let q_byte = get_byte(q_packed, byte_idx); - let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u; - let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u; - let q_lo = f32((q_byte & 0xFu) | qh_lo) * d + m; - let q_hi = f32(((q_byte >> 4u) & 0xFu) | qh_hi) * d + m; - row_sum += q_lo * x_block[byte_idx]; - row_sum += q_hi * x_block[byte_idx + 4u]; - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_Q8_0 -#define BLOCK_SIZE 32 -#define BLOCK_SIZE_BYTES 34 -#define THREADS_PER_BLOCK 4 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % THREADS_PER_BLOCK; - for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - var row_sum = 0.0; - - for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) { - let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * (thread_within_block * 2u + packed_idx)); - for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { - let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d; - row_sum += q_val * x_block[packed_idx * 4u + byte_idx]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_Q8_1 -#define BLOCK_SIZE 32 -#define BLOCK_SIZE_BYTES 36 -#define THREADS_PER_BLOCK 4 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % THREADS_PER_BLOCK; - for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let m = f32(load_f16_at_src0(block_byte_base + 2u)); - var row_sum = 0.0; - - for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) { - let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * (thread_within_block * 2u + packed_idx)); - for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { - let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d + m; - row_sum += q_val * x_block[packed_idx * 4u + byte_idx]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_Q2_K -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 84 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let lane = tid / 2u; - let phase = tid % 2u; - let iq = lane / 4u; - let ir = lane % 4u; - let is = ir / 2u; - - let y_offset = 128u * iq + 8u * ir + 4u * phase; - let sc0_byte = 8u * iq + is; - let sc2_byte = 8u * iq + is + 2u; - let sc4_byte = 8u * iq + is + 4u; - let sc6_byte = 8u * iq + is + 6u; - let qs_byte = 16u + (16u * iq + 4u * ir) * 2u + 4u * phase; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 4u; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4u] = f32(src1[x_base + 32u + i]); - x_block[i + 8u] = f32(src1[x_base + 64u + i]); - x_block[i + 12u] = f32(src1[x_base + 96u + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - - let dall = f32(load_f16_at_src0(block_byte_base + 80u)); - let dmin = f32(load_f16_at_src0(block_byte_base + 82u)) * (1.0 / 16.0); - - let sc0 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc0_byte), sc0_byte & 3u); - let sc2 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc2_byte), sc2_byte & 3u); - let sc4 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc4_byte), sc4_byte & 3u); - let sc6 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc6_byte), sc6_byte & 3u); - - let q_u32 = load_u32_at_src0_aligned(block_byte_base + qs_byte); - let qs0 = q_u32 & 0xFFFFu; - let qs1 = q_u32 >> 16u; - - var sumy = vec4(0.0, 0.0, 0.0, 0.0); - var acc1 = vec4(0.0, 0.0, 0.0, 0.0); - var acc2 = vec4(0.0, 0.0, 0.0, 0.0); - - sumy[0] = x_block[0] + x_block[1] + x_block[2] + x_block[3]; - sumy[1] = x_block[4] + x_block[5] + x_block[6] + x_block[7]; - sumy[2] = x_block[8] + x_block[9] + x_block[10] + x_block[11]; - sumy[3] = x_block[12] + x_block[13] + x_block[14] + x_block[15]; - - acc1[0] = x_block[0] * f32(qs0 & 0x0003u) + x_block[2] * f32(qs1 & 0x0003u); - acc2[0] = x_block[1] * f32(qs0 & 0x0300u) + x_block[3] * f32(qs1 & 0x0300u); - acc1[1] = x_block[4] * f32(qs0 & 0x000Cu) + x_block[6] * f32(qs1 & 0x000Cu); - acc2[1] = x_block[5] * f32(qs0 & 0x0C00u) + x_block[7] * f32(qs1 & 0x0C00u); - acc1[2] = x_block[8] * f32(qs0 & 0x0030u) + x_block[10] * f32(qs1 & 0x0030u); - acc2[2] = x_block[9] * f32(qs0 & 0x3000u) + x_block[11] * f32(qs1 & 0x3000u); - acc1[3] = x_block[12] * f32(qs0 & 0x00C0u) + x_block[14] * f32(qs1 & 0x00C0u); - acc2[3] = x_block[13] * f32(qs0 & 0xC000u) + x_block[15] * f32(qs1 & 0xC000u); - - acc[row] += dall * ((acc1[0] + (1.0/256.0) * acc2[0]) * f32(sc0 & 0xFu) + - (acc1[1] + (1.0/256.0) * acc2[1]) * f32(sc2 & 0xFu) / 4.0 + - (acc1[2] + (1.0/256.0) * acc2[2]) * f32(sc4 & 0xFu) / 16.0 + - (acc1[3] + (1.0/256.0) * acc2[3]) * f32(sc6 & 0xFu) / 64.0) - - dmin * (sumy[0] * f32(sc0 & 0xF0u) + sumy[1] * f32(sc2 & 0xF0u) + - sumy[2] * f32(sc4 & 0xF0u) + sumy[3] * f32(sc6 & 0xF0u)); - } - } - } -#endif - - -#ifdef MUL_ACC_Q3_K -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 110 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let lane = tid / 2u; - let phase = tid % 2u; - let ip = lane / 4u; - let il = 2u * ((lane % 4u) / 2u); - let ir = lane % 2u; - let l0 = 8u * ir; - - let q_byte = 32u + 32u * ip + l0 + 16u * phase; - let h_byte = l0 + 16u * phase; - let y_offset = 128u * ip + 32u * il + l0 + 16u * phase; - - let s_shift1 = 4u * ip; - let s_shift2 = s_shift1 + il; - - let v1 = select(64.0, 4.0, il == 0u); - let v2 = 4.0 * v1; - let shift = 2u * il; - - var qm0: u32; var qm1: u32; var qm2: u32; var qm3: u32; - if (il == 0u) { - qm0 = 0x0003u; qm1 = 0x0300u; qm2 = 0x000Cu; qm3 = 0x0C00u; - } else { - qm0 = 0x0030u; qm1 = 0x3000u; qm2 = 0x00C0u; qm3 = 0xC000u; - } - - let mm_idx = 2u * ip + il / 2u; - var hm0: u32; var hm1: u32; var hm2: u32; var hm3: u32; - switch (mm_idx) { - case 0u: { hm0=0x0001u; hm1=0x0100u; hm2=0x0002u; hm3=0x0200u; } - case 1u: { hm0=0x0004u; hm1=0x0400u; hm2=0x0008u; hm3=0x0800u; } - case 2u: { hm0=0x0010u; hm1=0x1000u; hm2=0x0020u; hm3=0x2000u; } - default: { hm0=0x0040u; hm1=0x4000u; hm2=0x0080u; hm3=0x8000u; } - } - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 8u; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 8u] = f32(src1[x_base + 32u + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - - let d = f32(load_f16_at_src0(block_byte_base + 108u)); - let a_base = 96u; - let a_il0 = load_u16_at_src0(block_byte_base + a_base + il * 2u); - let a_il1 = load_u16_at_src0(block_byte_base + a_base + (il + 1u) * 2u); - let a_4 = load_u16_at_src0(block_byte_base + a_base + 8u); - let a_5 = load_u16_at_src0(block_byte_base + a_base + 10u); - - var scales32 = a_4 | (a_5 << 16u); - let aux32 = ((scales32 >> s_shift2) << 4u) & 0x30303030u; - scales32 = a_il0 | (a_il1 << 16u); - scales32 = ((scales32 >> s_shift1) & 0x0F0F0F0Fu) | aux32; - - let scale0 = f32(i32(byte_of(scales32, phase + 0u)) - 32); - let scale1 = f32(i32(byte_of(scales32, phase + 2u)) - 32); - - let q_u32_0 = load_u32_at_src0(block_byte_base + q_byte + 0u); - let q_u32_1 = load_u32_at_src0(block_byte_base + q_byte + 4u); - let h_u32_0 = load_u32_at_src0(block_byte_base + h_byte + 0u); - let h_u32_1 = load_u32_at_src0(block_byte_base + h_byte + 4u); - - var s1 = 0.0; var s2 = 0.0; var s3 = 0.0; - var s4 = 0.0; var s5 = 0.0; var s6 = 0.0; - - for (var l = 0u; l < 8u; l += 2u) { - let q_u32 = select(q_u32_0, q_u32_1, l >= 4u); - let qs = select(q_u32 & 0xFFFFu, q_u32 >> 16u, (l & 2u) != 0u); - let h_u32 = select(h_u32_0, h_u32_1, l >= 4u); - let hv = select(h_u32 & 0xFFFFu, h_u32 >> 16u, (l & 2u) != 0u); - - s1 += x_block[l + 0u] * f32(qs & qm0); - s2 += x_block[l + 1u] * f32(qs & qm1); - s3 += select(0.0, x_block[l + 0u], (hv & hm0) == 0u) + - select(0.0, x_block[l + 1u], (hv & hm1) == 0u); - s4 += x_block[l + 8u] * f32(qs & qm2); - s5 += x_block[l + 9u] * f32(qs & qm3); - s6 += select(0.0, x_block[l + 8u], (hv & hm2) == 0u) + - select(0.0, x_block[l + 9u], (hv & hm3) == 0u); - } - - let d1 = d * (s1 + (1.0/256.0) * s2 - s3 * v1); - let d2 = d * (s4 + (1.0/256.0) * s5 - s6 * v2); - acc[row] += (d1 * scale0 + 0.25 * d2 * scale1) / f32(1u << shift); - } - } - } -#endif - -#ifdef MUL_ACC_Q4_K -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 144 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let il = tid / 4u; - let ir = tid % 4u; - let im = il / 2u; - let in = il % 2u; - let l0 = 4u * (2u * ir + in); - - let y_offset = 64u * im + l0; - let q_offset = 32u * im + l0; - let sc0_byte = 4u + im * 2u; - let sc2_byte = 4u + (im + 2u) * 2u; - let sc4_byte = 4u + (im + 4u) * 2u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 4u; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4u] = f32(src1[x_base + 32u + i]); - x_block[i + 8u] = f32(src1[x_base + 128u + i]); - x_block[i + 12u] = f32(src1[x_base + 160u + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - - let d = f32(load_f16_at_src0(block_byte_base + 0u)); - let dmin = f32(load_f16_at_src0(block_byte_base + 2u)); - - let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte); - let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u); - let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte); - let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u); - let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte); - let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u); - - let sc16_0 = sc0 & 0x3F3Fu; - let sc16_1 = sc2 & 0x3F3Fu; - let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u); - let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u); - - let scale0 = f32(sc16_0 & 0xFFu); - let scale1 = f32((sc16_0 >> 8u) & 0xFFu); - let min0 = f32(sc16_1 & 0xFFu); - let min1 = f32((sc16_1 >> 8u) & 0xFFu); - let scale2 = f32(sc16_2 & 0xFFu); - let scale3 = f32((sc16_2 >> 8u) & 0xFFu); - let min2 = f32(sc16_3 & 0xFFu); - let min3 = f32((sc16_3 >> 8u) & 0xFFu); - - let q1_u32 = load_u32_at_src0_aligned(block_byte_base + 16u + q_offset); - let q2_u32 = load_u32_at_src0_aligned(block_byte_base + 80u + q_offset); - - var dot = vec4(0.0, 0.0, 0.0, 0.0); - var sumx = vec4(0.0, 0.0, 0.0, 0.0); - for (var i = 0u; i < 4u; i++) { - let q1b = byte_of(q1_u32, i); - let q2b = byte_of(q2_u32, i); - dot[0] += x_block[i] * f32(q1b & 0x0Fu); - dot[1] += x_block[i + 4u] * f32(q1b >> 4u); - dot[2] += x_block[i + 8u] * f32(q2b & 0x0Fu); - dot[3] += x_block[i + 12u] * f32(q2b >> 4u); - sumx[0] += x_block[i]; - sumx[1] += x_block[i + 4u]; - sumx[2] += x_block[i + 8u]; - sumx[3] += x_block[i + 12u]; - } - - acc[row] += d * (dot[0] * scale0 + dot[1] * scale1 + dot[2] * scale2 + dot[3] * scale3) - - dmin * (sumx[0] * min0 + sumx[1] * min1 + sumx[2] * min2 + sumx[3] * min3); - } - } - } -#endif - -#ifdef MUL_ACC_Q5_K -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 176 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let il = tid / 4u; - let ir = tid % 4u; - let im = il / 2u; - let in = il % 2u; - let l0 = 4u * (2u * ir + in); - - let y_offset = 64u * im + l0; - let q_offset = 48u + 32u * im + l0; - let qh_offset = 16u + 8u * ir + 4u * in; - let sc0_byte = 4u + im * 2u; - let sc2_byte = 4u + (im + 2u) * 2u; - let sc4_byte = 4u + (im + 4u) * 2u; - - let hm1 = 1u << (2u * im); - let hm2 = hm1 << 1u; - let hm3 = hm1 << 4u; - let hm4 = hm2 << 4u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 4u; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4u] = f32(src1[x_base + 32u + i]); - x_block[i + 8u] = f32(src1[x_base + 128u + i]); - x_block[i + 12u] = f32(src1[x_base + 160u + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - - let d = f32(load_f16_at_src0(block_byte_base + 0u)); - let dmin = f32(load_f16_at_src0(block_byte_base + 2u)); - - let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte); - let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u); - let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte); - let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u); - let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte); - let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u); - - let sc16_0 = sc0 & 0x3F3Fu; - let sc16_1 = sc2 & 0x3F3Fu; - let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u); - let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u); - - let f0 = f32(sc16_0 & 0xFFu); - let f1 = f32((sc16_0 >> 8u) & 0xFFu); - let m0 = f32(sc16_1 & 0xFFu); - let m1 = f32((sc16_1 >> 8u) & 0xFFu); - let f4 = f32(sc16_2 & 0xFFu); - let f5 = f32((sc16_2 >> 8u) & 0xFFu); - let m4 = f32(sc16_3 & 0xFFu); - let m5 = f32((sc16_3 >> 8u) & 0xFFu); - - let q1_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset); - let q2_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset + 64u); - let qh_u32 = load_u32_at_src0_aligned(block_byte_base + qh_offset); - - var vals = vec4(0.0, 0.0, 0.0, 0.0); - var sumy = vec4(0.0, 0.0, 0.0, 0.0); - for (var i = 0u; i < 4u; i++) { - let q1b = byte_of(q1_u32, i); - let q2b = byte_of(q2_u32, i); - let qhb = byte_of(qh_u32, i); - - let yl0 = x_block[i]; - let yl8 = x_block[i + 4u]; - let yh0 = x_block[i + 8u]; - let yh8 = x_block[i + 12u]; - - sumy[0] += yl0; - sumy[1] += yl8; - sumy[2] += yh0; - sumy[3] += yh8; - - let q0 = f32((q1b & 0x0Fu) | select(0u, 0x10u, (qhb & hm1) != 0u)); - let q1 = f32((q1b >> 4u) | select(0u, 0x10u, (qhb & hm2) != 0u)); - let q2 = f32((q2b & 0x0Fu) | select(0u, 0x10u, (qhb & hm3) != 0u)); - let q3 = f32((q2b >> 4u) | select(0u, 0x10u, (qhb & hm4) != 0u)); - - vals[0] += yl0 * q0; - vals[1] += yl8 * q1; - vals[2] += yh0 * q2; - vals[3] += yh8 * q3; - } - - acc[row] += d * (f0 * vals[0] + f1 * vals[1] + f4 * vals[2] + f5 * vals[3]) - - dmin * (sumy[0] * m0 + sumy[1] * m1 + - sumy[2] * m4 + sumy[3] * m5); - } - } - } -#endif - -#ifdef MUL_ACC_Q6_K -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 210 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let ip = tid / 8u; - let il = tid % 8u; - let l0 = 4u * il; - let is = 8u * ip + l0 / 16u; - - let y_offset = 128u * ip + l0; - let q_offset_l = 64u * ip + l0; - let q_offset_h = 32u * ip + l0; - - let num_blocks = params.k / BLOCK_SIZE; - let sc_base_byte = 192u + (is & ~3u); - let sc_byte_pos = is & 3u; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var l = 0u; l < 4u; l++) { - x_block[l] = f32(src1[x_base + l]); - x_block[l + 4u] = f32(src1[x_base + 32u + l]); - x_block[l + 8u] = f32(src1[x_base + 64u + l]); - x_block[l + 12u] = f32(src1[x_base + 96u + l]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - - let d = f32(load_f16_at_src0(block_byte_base + 208u)); - let ql1_u32 = load_u32_at_src0(block_byte_base + q_offset_l); - let ql2_u32 = load_u32_at_src0(block_byte_base + q_offset_l + 32u); - let qh_u32 = load_u32_at_src0(block_byte_base + 128u + q_offset_h); - let sc_u32_0 = load_u32_at_src0(block_byte_base + sc_base_byte); - let sc_u32_1 = load_u32_at_src0(block_byte_base + sc_base_byte + 4u); - - let sc0 = sbyte_of(sc_u32_0, sc_byte_pos); - let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u); - let sc4 = sbyte_of(sc_u32_1, sc_byte_pos); - let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u); - - var sums = vec4(0.0, 0.0, 0.0, 0.0); - - for (var l = 0u; l < 4u; l++) { - let q1b = byte_of(ql1_u32, l); - let q2b = byte_of(ql2_u32, l); - let qhb = byte_of(qh_u32, l); - - let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32); - let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32); - let dq2 = f32(i32((q1b >> 4u) | (qhb & 0x30u)) - 32); - let dq3 = f32(i32((q2b >> 4u) | ((qhb & 0xC0u) >> 2u)) - 32); - - sums[0] += x_block[l] * dq0; - sums[1] += x_block[l + 4u] * dq1; - sums[2] += x_block[l + 8u] * dq2; - sums[3] += x_block[l + 12u] * dq3; - } - - acc[row] += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) + - sums[2] * f32(sc4) + sums[3] * f32(sc6)); - } - } - } -#endif - -#ifdef MUL_ACC_IQ1_S -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 50 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let slot0 = half * 2u; - let y_offset = sub_blk * 32u + slot0 * 8u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - - let d = f32(load_f16_at_src0(block_byte_base)); - let qh = load_u32_at_src0(block_byte_base + 34u + sub_blk * 2u) & 0xFFFFu; - let dl = d * f32(2u * ((qh >> 12u) & 7u) + 1u); - let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000u) != 0u); - let qs_w = load_u32_at_src0(block_byte_base + 2u + sub_blk * 4u); - - var row_sum = 0.0; - for (var ll = 0u; ll < 2u; ll++) { - let l = slot0 + ll; - let qs_byte = get_byte(qs_w, l); - let ig = (qs_byte | (((qh >> (3u * l)) & 7u) << 8u)) * 8u; - let gw = iq1_grid[ig / 16u]; - let bit_base = (ig % 16u) * 2u; - for (var j = 0u; j < 8u; j++) { - let g = (gw >> (bit_base + j * 2u)) & 3u; - let gs = select(f32(g), f32(g) - 4.0, (g & 2u) != 0u); - row_sum += dl * (gs + delta) * x_block[ll * 8u + j]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ1_M -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 56 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let slot0 = half * 2u; - let y_offset = sub_blk * 32u + slot0 * 8u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - - let sc_lo = load_u32_at_src0(block_byte_base + 48u); - let sc_hi = load_u32_at_src0(block_byte_base + 52u); - let sc0 = sc_lo & 0xFFFFu; - let sc1 = (sc_lo >> 16u) & 0xFFFFu; - let sc2 = sc_hi & 0xFFFFu; - let sc3 = (sc_hi >> 16u) & 0xFFFFu; - let d_bits = (sc0 >> 12u) | ((sc1 >> 8u) & 0xF0u) | ((sc2 >> 4u) & 0xF00u) | (sc3 & 0xF000u); - let d = f32(bitcast>(d_bits)[0]); - - let sc_u16 = select(select(sc2, sc3, sub_blk >= 6u), - select(sc0, sc1, sub_blk >= 2u), - sub_blk < 4u); - - let qs_w = load_u32_at_src0(block_byte_base + sub_blk * 4u); - let qh = load_u32_at_src0(block_byte_base + 32u + sub_blk * 2u) & 0xFFFFu; - let qh_lo = qh & 0xFFu; - let qh_hi = (qh >> 8u) & 0xFFu; - - var row_sum = 0.0; - for (var ll = 0u; ll < 2u; ll++) { - let l = slot0 + ll; - let bit_off = 6u * (sub_blk % 2u) + 3u * (l / 2u); - let sub_scale = (sc_u16 >> bit_off) & 0x7u; - let dl = d * f32(2u * sub_scale + 1u); - let qh_byte = select(qh_lo, qh_hi, l >= 2u); - let ll2 = l % 2u; - let grid_idx = get_byte(qs_w, l) | (((qh_byte >> (4u * ll2)) & 7u) << 8u); - let delta = select(IQ1_DELTA, -IQ1_DELTA, ((qh_byte >> (3u + 4u * ll2)) & 1u) != 0u); - let ig = grid_idx * 8u; - let gw = iq1_grid[ig / 16u]; - let bit_base = (ig % 16u) * 2u; - for (var j = 0u; j < 8u; j++) { - let g = (gw >> (bit_base + j * 2u)) & 3u; - let gs = select(f32(g), f32(g) - 4.0, (g & 2u) != 0u); - row_sum += dl * (gs + delta) * x_block[ll * 8u + j]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ2_XXS -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 66 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let slot0 = half * 2u; - let y_offset = sub_blk * 32u + slot0 * 8u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let aux_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); - let aux_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); - let ls = aux_hi >> 28u; - let db = d * (0.5 + f32(ls)) * 0.25; - - var row_sum = 0.0; - for (var ll = 0u; ll < 2u; ll++) { - let l = slot0 + ll; - let grid_idx = (aux_lo >> (8u * l)) & 0xFFu; - let signs_idx = (aux_hi >> (7u * l)) & 0x7Fu; - let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu; - let gw_lo = iq2xxs_grid[grid_idx * 2u]; - let gw_hi = iq2xxs_grid[grid_idx * 2u + 1u]; - for (var j = 0u; j < 8u; j++) { - let gw = select(gw_hi, gw_lo, j < 4u); - let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu); - let s = select(1.0, -1.0, ((signs >> j) & 1u) != 0u); - row_sum += db * b * s * x_block[ll * 8u + j]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ2_XS -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 74 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let slot0 = half * 2u; - let y_offset = sub_blk * 32u + slot0 * 8u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); - let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); - let scales_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u); - let scales_byte = get_byte(scales_word, sub_blk % 4u); - - var row_sum = 0.0; - for (var ll = 0u; ll < 2u; ll++) { - let l = slot0 + ll; - let qs_word = select(qs_hi, qs_lo, l < 2u); - let half2 = (l % 2u) * 16u; - let qs_val = (qs_word >> half2) & 0xFFFFu; - let grid_idx = qs_val & 0x1FFu; - let signs_idx = (qs_val >> 9u) & 0x7Fu; - let sub_scale = (scales_byte >> (4u * (l / 2u))) & 0xFu; - let db = d * (0.5 + f32(sub_scale)) * 0.25; - let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu; - let gw_lo = iq2xs_grid[grid_idx * 2u]; - let gw_hi = iq2xs_grid[grid_idx * 2u + 1u]; - for (var j = 0u; j < 8u; j++) { - let gw = select(gw_hi, gw_lo, j < 4u); - let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu); - let s = select(1.0, -1.0, ((signs >> j) & 1u) != 0u); - row_sum += db * b * s * x_block[ll * 8u + j]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ2_S -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 82 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let slot0 = half * 2u; - let y_offset = sub_blk * 32u + slot0 * 8u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let qs_w = load_u32_at_src0(block_byte_base + 2u + sub_blk * 4u); - let sg_w = load_u32_at_src0(block_byte_base + 34u + sub_blk * 4u); - let qh_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u); - let qh_byte = get_byte(qh_word, sub_blk % 4u); - let sc_word = load_u32_at_src0(block_byte_base + 74u + (sub_blk / 4u) * 4u); - let scales_byte = get_byte(sc_word, sub_blk % 4u); - - var row_sum = 0.0; - for (var ll = 0u; ll < 2u; ll++) { - let l = slot0 + ll; - let qs_byte = get_byte(qs_w, l); - let sign_byte = get_byte(sg_w, l); - let grid_idx = qs_byte | (((qh_byte >> (2u * l)) & 3u) << 8u); - let sub_scale = (scales_byte >> (4u * (l / 2u))) & 0xFu; - let db = d * (0.5 + f32(sub_scale)) * 0.25; - let gw_lo = iq2s_grid[grid_idx * 2u]; - let gw_hi = iq2s_grid[grid_idx * 2u + 1u]; - for (var j = 0u; j < 8u; j++) { - let gw = select(gw_hi, gw_lo, j < 4u); - let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu); - let s = select(1.0, -1.0, ((sign_byte >> j) & 1u) != 0u); - row_sum += db * b * s * x_block[ll * 8u + j]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ3_XXS -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 98 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let slot0 = half * 2u; - let y_offset = sub_blk * 32u + slot0 * 8u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); - let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); - let aux = load_u32_at_src0(block_byte_base + 66u + sub_blk * 4u); - let ls = aux >> 28u; - let db = d * (0.5 + f32(ls)) * 0.5; - - var row_sum = 0.0; - for (var ll = 0u; ll < 2u; ll++) { - let l = slot0 + ll; - let qs_word = select(qs_hi, qs_lo, l < 2u); - let byte_pos = (l % 2u) * 2u; - let grid_idx_0 = (qs_word >> (byte_pos * 8u)) & 0xFFu; - let grid_idx_1 = (qs_word >> ((byte_pos + 1u) * 8u)) & 0xFFu; - let signs_idx = (aux >> (7u * l)) & 0x7Fu; - let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu; - let grid1 = iq3xxs_grid[grid_idx_0]; - let grid2 = iq3xxs_grid[grid_idx_1]; - for (var j = 0u; j < 4u; j++) { - let b1 = f32((grid1 >> (j * 8u)) & 0xFFu); - let b2 = f32((grid2 >> (j * 8u)) & 0xFFu); - let s1 = select(1.0, -1.0, ((signs >> j) & 1u) != 0u); - let s2 = select(1.0, -1.0, ((signs >> (j + 4u)) & 1u) != 0u); - row_sum += db * b1 * s1 * x_block[ll * 8u + j]; - row_sum += db * b2 * s2 * x_block[ll * 8u + j + 4u]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ3_S -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 110 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let slot0 = half * 2u; - let y_offset = sub_blk * 32u + slot0 * 8u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); - let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); - let qh_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u); - let qh_byte = get_byte(qh_word, sub_blk % 4u); - let sg_w = load_u32_at_src0(block_byte_base + 74u + sub_blk * 4u); - let sc_word = load_u32_at_src0(block_byte_base + 106u); - let scales_byte = get_byte(sc_word, sub_blk / 2u); - let sub_scale = (scales_byte >> (4u * (sub_blk % 2u))) & 0xFu; - let db = d * (1.0 + 2.0 * f32(sub_scale)); - - var row_sum = 0.0; - for (var ll = 0u; ll < 2u; ll++) { - let l = slot0 + ll; - let qs_word = select(qs_hi, qs_lo, l < 2u); - let byte_pos = (l % 2u) * 2u; - let qs0 = (qs_word >> (byte_pos * 8u)) & 0xFFu; - let qs1 = (qs_word >> ((byte_pos + 1u) * 8u)) & 0xFFu; - let grid_idx_1 = qs0 | (((qh_byte >> (2u * l)) & 1u) << 8u); - let grid_idx_2 = qs1 | (((qh_byte >> (2u * l + 1u)) & 1u) << 8u); - let sign_byte = get_byte(sg_w, l); - let grid1 = iq3s_grid[grid_idx_1]; - let grid2 = iq3s_grid[grid_idx_2]; - for (var j = 0u; j < 4u; j++) { - let b1 = f32((grid1 >> (j * 8u)) & 0xFFu); - let b2 = f32((grid2 >> (j * 8u)) & 0xFFu); - let s1 = select(1.0, -1.0, ((sign_byte >> j) & 1u) != 0u); - let s2 = select(1.0, -1.0, ((sign_byte >> (j + 4u)) & 1u) != 0u); - row_sum += db * b1 * s1 * x_block[ll * 8u + j]; - row_sum += db * b2 * s2 * x_block[ll * 8u + j + 4u]; - } - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ4_NL -#define BLOCK_SIZE 32 -#define BLOCK_SIZE_BYTES 18 -#define THREADS_PER_BLOCK 4 -#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) - - let num_blocks = params.k / BLOCK_SIZE; - let thread_within_block = thread_id % THREADS_PER_BLOCK; - for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { - let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4u; - var x_block: array; - for (var i = 0u; i < ELEMS_PER_THREAD / 2u; i++) { - x_block[i] = f32(src1[x_base + i]); - x_block[i + 4u] = f32(src1[x_base + i + 16u]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - var row_sum = 0.0; - - let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * thread_within_block); - for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { - let q_byte = get_byte(q_packed, byte_idx); - let q_lo = f32(kvalues_iq4nl[q_byte & 0xFu]) * d; - let q_hi = f32(kvalues_iq4nl[(q_byte >> 4u) & 0xFu]) * d; - row_sum += q_lo * x_block[byte_idx]; - row_sum += q_hi * x_block[byte_idx + 4u]; - } - acc[row] += row_sum; - } - } - } -#endif - -#ifdef MUL_ACC_IQ4_XS -#define BLOCK_SIZE 256 -#define BLOCK_SIZE_BYTES 136 -#define THREADS_PER_BLOCK 16 - - let tid = thread_id % THREADS_PER_BLOCK; - let block_group = thread_id / THREADS_PER_BLOCK; - let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; - - let sub_blk = tid / 2u; - let half = tid % 2u; - let y_offset = sub_blk * 32u + half * 16u; - - let num_blocks = params.k / BLOCK_SIZE; - - for (var block = block_group; block < num_blocks; block += num_block_groups) { - let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; - var x_block: array; - for (var i = 0u; i < 16u; i++) { - x_block[i] = f32(src1[x_base + i]); - } - - for (var row = 0u; row < OUTPUTS_PER_WG; row++) { - let output_row = row_base + row; - if (output_row < params.m) { - let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; - let d = f32(load_f16_at_src0(block_byte_base)); - let scales_h = load_u16_at_src0(block_byte_base + 2u); - let scales_l_word = load_u32_at_src0(block_byte_base + 4u); - let sl_byte = get_byte(scales_l_word, sub_blk / 2u); - let sl = (sl_byte >> (4u * (sub_blk % 2u))) & 0xFu; - let sh_bits = (scales_h >> (2u * sub_blk)) & 3u; - let ls = i32(sl | (sh_bits << 4u)); - let dl = d * f32(ls - 32); - - let qs_byte_off = 8u + sub_blk * 16u; - let q_w0 = load_u32_at_src0(block_byte_base + qs_byte_off); - let q_w1 = load_u32_at_src0(block_byte_base + qs_byte_off + 4u); - let q_w2 = load_u32_at_src0(block_byte_base + qs_byte_off + 8u); - let q_w3 = load_u32_at_src0(block_byte_base + qs_byte_off + 12u); - - var row_sum = 0.0; - for (var i = 0u; i < 16u; i++) { - let q_word = select( - select(q_w0, q_w1, i >= 4u), - select(q_w2, q_w3, i >= 12u), - i >= 8u); - let q_byte = get_byte(q_word, i % 4u); - let nib = select(q_byte & 0xFu, (q_byte >> 4u) & 0xFu, half == 1u); - row_sum += f32(kvalues_iq4nl[nib]) * dl * x_block[i]; - } - acc[row] += row_sum; - } - } - } -#endif + let acc = accumulate_vec_dot(thread_id, row_base, src0_batch_offset, src1_idx_base); #ifdef USE_SUBGROUP_REDUCTION for (var row = 0u; row < OUTPUTS_PER_WG; row++) { diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec_acc.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec_acc.tmpl new file mode 100644 index 0000000000..711c7e829d --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec_acc.tmpl @@ -0,0 +1,1433 @@ +#ifdef U32_DEQUANT_HELPERS +#define SRC0_TYPE u32 + +fn byte_of(v: u32, b: u32) -> u32 { + return (v >> (b * 8u)) & 0xFFu; +} + +fn sbyte_of(v: u32, b: u32) -> i32 { + let raw = i32((v >> (b * 8u)) & 0xFFu); + return select(raw, raw - 256, raw >= 128); +} +#endif + +#ifdef VEC +#define VEC_SIZE 4u +#define SRC0_TYPE vec4 +#define SRC1_TYPE vec4 + +fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 { + return f32(dot(SRC1_TYPE(src0_val), src1_val)); +} +#endif + +#ifdef SCALAR +#define VEC_SIZE 1u +#define SRC0_TYPE SRC0_INNER_TYPE +#define SRC1_TYPE SRC1_INNER_TYPE + +fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 { + return f32(src0_val) * f32(src1_val); +} +#endif + +#ifdef MUL_ACC_FLOAT +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let k_vec = params.k / VEC_SIZE; + let src1_idx_base_vec = src1_idx_base / VEC_SIZE; + + // Each thread walks K, loads from the vector, and updates + // a small block of output rows held in registers. + for (var k = thread_id; k < k_vec; k += WG_SIZE) { + let x = src1[src1_idx_base_vec + k]; + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let src0_idx = (src0_batch_offset + output_row * params.stride_01) / VEC_SIZE + k; + acc[row] += inner_dot(src0[src0_idx], x); + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q1_0 +#define BLOCK_SIZE 128 +#define BLOCK_SIZE_BYTES 18 +#define THREADS_PER_BLOCK 16 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % THREADS_PER_BLOCK; + for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let q_byte = load_u32_at_src0(block_byte_base + 2u + thread_within_block) & 0xFFu; + var row_sum = 0.0; + for (var bit = 0u; bit < 8u; bit++) { + let w = select(-d, d, ((q_byte >> bit) & 1u) != 0u); + row_sum += w * x_block[bit]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q4_0 +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 18 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % 4; + for (var block = thread_id/THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE/THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4] = f32(src1[x_base + i + 16]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + var row_sum = 0.0; + + let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * thread_within_block); + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_byte = get_byte(q_packed, byte_idx); + let q_lo = (f32(q_byte & 0xFu) - 8.0) * d; + let q_hi = (f32((q_byte >> 4u) & 0xFu) - 8.0) * d; + row_sum += q_lo * x_block[byte_idx]; + row_sum += q_hi * x_block[byte_idx + 4u]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q4_1 +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 20 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % THREADS_PER_BLOCK; + for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4] = f32(src1[x_base + i + 16]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let m = f32(load_f16_at_src0(block_byte_base + 2u)); + var row_sum = 0.0; + + let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * thread_within_block); + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_byte = get_byte(q_packed, byte_idx); + let q_lo = f32(q_byte & 0xFu) * d + m; + let q_hi = f32((q_byte >> 4u) & 0xFu) * d + m; + row_sum += q_lo * x_block[byte_idx]; + row_sum += q_hi * x_block[byte_idx + 4u]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q5_0 +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 22 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % THREADS_PER_BLOCK; + for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4] = f32(src1[x_base + i + 16]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let qh_packed = load_u32_at_src0(block_byte_base + 2u); + let q_packed = load_u32_at_src0(block_byte_base + 6u + 4u * thread_within_block); + let qh_shift = thread_within_block * 4u; + var row_sum = 0.0; + + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_byte = get_byte(q_packed, byte_idx); + let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u; + let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u; + let q_lo = (f32((q_byte & 0xFu) | qh_lo) - 16.0) * d; + let q_hi = (f32(((q_byte >> 4u) & 0xFu) | qh_hi) - 16.0) * d; + row_sum += q_lo * x_block[byte_idx]; + row_sum += q_hi * x_block[byte_idx + 4u]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q5_1 +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 24 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % THREADS_PER_BLOCK; + for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4] = f32(src1[x_base + i + 16]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let m = f32(load_f16_at_src0(block_byte_base + 2u)); + let qh_packed = load_u32_at_src0(block_byte_base + 4u); + let q_packed = load_u32_at_src0(block_byte_base + 8u + 4u * thread_within_block); + let qh_shift = thread_within_block * 4u; + var row_sum = 0.0; + + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_byte = get_byte(q_packed, byte_idx); + let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u; + let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u; + let q_lo = f32((q_byte & 0xFu) | qh_lo) * d + m; + let q_hi = f32(((q_byte >> 4u) & 0xFu) | qh_hi) * d + m; + row_sum += q_lo * x_block[byte_idx]; + row_sum += q_hi * x_block[byte_idx + 4u]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q8_0 +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 34 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % THREADS_PER_BLOCK; + for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + var row_sum = 0.0; + + for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) { + let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * (thread_within_block * 2u + packed_idx)); + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d; + row_sum += q_val * x_block[packed_idx * 4u + byte_idx]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q8_1 +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 36 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % THREADS_PER_BLOCK; + for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let m = f32(load_f16_at_src0(block_byte_base + 2u)); + var row_sum = 0.0; + + for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) { + let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * (thread_within_block * 2u + packed_idx)); + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d + m; + row_sum += q_val * x_block[packed_idx * 4u + byte_idx]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q2_K +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 84 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let lane = tid / 2u; + let phase = tid % 2u; + let iq = lane / 4u; + let ir = lane % 4u; + let is = ir / 2u; + + let y_offset = 128u * iq + 8u * ir + 4u * phase; + let sc0_byte = 8u * iq + is; + let sc2_byte = 8u * iq + is + 2u; + let sc4_byte = 8u * iq + is + 4u; + let sc6_byte = 8u * iq + is + 6u; + let qs_byte = 16u + (16u * iq + 4u * ir) * 2u + 4u * phase; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 4u; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4u] = f32(src1[x_base + 32u + i]); + x_block[i + 8u] = f32(src1[x_base + 64u + i]); + x_block[i + 12u] = f32(src1[x_base + 96u + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + + let dall = f32(load_f16_at_src0(block_byte_base + 80u)); + let dmin = f32(load_f16_at_src0(block_byte_base + 82u)) * (1.0 / 16.0); + + let sc0 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc0_byte), sc0_byte & 3u); + let sc2 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc2_byte), sc2_byte & 3u); + let sc4 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc4_byte), sc4_byte & 3u); + let sc6 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc6_byte), sc6_byte & 3u); + + let q_u32 = load_u32_at_src0_aligned(block_byte_base + qs_byte); + let qs0 = q_u32 & 0xFFFFu; + let qs1 = q_u32 >> 16u; + + var sumy = vec4(0.0, 0.0, 0.0, 0.0); + var acc1 = vec4(0.0, 0.0, 0.0, 0.0); + var acc2 = vec4(0.0, 0.0, 0.0, 0.0); + + sumy[0] = x_block[0] + x_block[1] + x_block[2] + x_block[3]; + sumy[1] = x_block[4] + x_block[5] + x_block[6] + x_block[7]; + sumy[2] = x_block[8] + x_block[9] + x_block[10] + x_block[11]; + sumy[3] = x_block[12] + x_block[13] + x_block[14] + x_block[15]; + + acc1[0] = x_block[0] * f32(qs0 & 0x0003u) + x_block[2] * f32(qs1 & 0x0003u); + acc2[0] = x_block[1] * f32(qs0 & 0x0300u) + x_block[3] * f32(qs1 & 0x0300u); + acc1[1] = x_block[4] * f32(qs0 & 0x000Cu) + x_block[6] * f32(qs1 & 0x000Cu); + acc2[1] = x_block[5] * f32(qs0 & 0x0C00u) + x_block[7] * f32(qs1 & 0x0C00u); + acc1[2] = x_block[8] * f32(qs0 & 0x0030u) + x_block[10] * f32(qs1 & 0x0030u); + acc2[2] = x_block[9] * f32(qs0 & 0x3000u) + x_block[11] * f32(qs1 & 0x3000u); + acc1[3] = x_block[12] * f32(qs0 & 0x00C0u) + x_block[14] * f32(qs1 & 0x00C0u); + acc2[3] = x_block[13] * f32(qs0 & 0xC000u) + x_block[15] * f32(qs1 & 0xC000u); + + acc[row] += dall * ((acc1[0] + (1.0/256.0) * acc2[0]) * f32(sc0 & 0xFu) + + (acc1[1] + (1.0/256.0) * acc2[1]) * f32(sc2 & 0xFu) / 4.0 + + (acc1[2] + (1.0/256.0) * acc2[2]) * f32(sc4 & 0xFu) / 16.0 + + (acc1[3] + (1.0/256.0) * acc2[3]) * f32(sc6 & 0xFu) / 64.0) + - dmin * (sumy[0] * f32(sc0 & 0xF0u) + sumy[1] * f32(sc2 & 0xF0u) + + sumy[2] * f32(sc4 & 0xF0u) + sumy[3] * f32(sc6 & 0xF0u)); + } + } + } + + return acc; +} +#endif + + +#ifdef MUL_ACC_Q3_K +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 110 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let lane = tid / 2u; + let phase = tid % 2u; + let ip = lane / 4u; + let il = 2u * ((lane % 4u) / 2u); + let ir = lane % 2u; + let l0 = 8u * ir; + + let q_byte = 32u + 32u * ip + l0 + 16u * phase; + let h_byte = l0 + 16u * phase; + let y_offset = 128u * ip + 32u * il + l0 + 16u * phase; + + let s_shift1 = 4u * ip; + let s_shift2 = s_shift1 + il; + + let v1 = select(64.0, 4.0, il == 0u); + let v2 = 4.0 * v1; + let shift = 2u * il; + + var qm0: u32; var qm1: u32; var qm2: u32; var qm3: u32; + if (il == 0u) { + qm0 = 0x0003u; qm1 = 0x0300u; qm2 = 0x000Cu; qm3 = 0x0C00u; + } else { + qm0 = 0x0030u; qm1 = 0x3000u; qm2 = 0x00C0u; qm3 = 0xC000u; + } + + let mm_idx = 2u * ip + il / 2u; + var hm0: u32; var hm1: u32; var hm2: u32; var hm3: u32; + switch (mm_idx) { + case 0u: { hm0=0x0001u; hm1=0x0100u; hm2=0x0002u; hm3=0x0200u; } + case 1u: { hm0=0x0004u; hm1=0x0400u; hm2=0x0008u; hm3=0x0800u; } + case 2u: { hm0=0x0010u; hm1=0x1000u; hm2=0x0020u; hm3=0x2000u; } + default: { hm0=0x0040u; hm1=0x4000u; hm2=0x0080u; hm3=0x8000u; } + } + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 8u; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 8u] = f32(src1[x_base + 32u + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + + let d = f32(load_f16_at_src0(block_byte_base + 108u)); + let a_base = 96u; + let a_il0 = load_u16_at_src0(block_byte_base + a_base + il * 2u); + let a_il1 = load_u16_at_src0(block_byte_base + a_base + (il + 1u) * 2u); + let a_4 = load_u16_at_src0(block_byte_base + a_base + 8u); + let a_5 = load_u16_at_src0(block_byte_base + a_base + 10u); + + var scales32 = a_4 | (a_5 << 16u); + let aux32 = ((scales32 >> s_shift2) << 4u) & 0x30303030u; + scales32 = a_il0 | (a_il1 << 16u); + scales32 = ((scales32 >> s_shift1) & 0x0F0F0F0Fu) | aux32; + + let scale0 = f32(i32(byte_of(scales32, phase + 0u)) - 32); + let scale1 = f32(i32(byte_of(scales32, phase + 2u)) - 32); + + let q_u32_0 = load_u32_at_src0(block_byte_base + q_byte + 0u); + let q_u32_1 = load_u32_at_src0(block_byte_base + q_byte + 4u); + let h_u32_0 = load_u32_at_src0(block_byte_base + h_byte + 0u); + let h_u32_1 = load_u32_at_src0(block_byte_base + h_byte + 4u); + + var s1 = 0.0; var s2 = 0.0; var s3 = 0.0; + var s4 = 0.0; var s5 = 0.0; var s6 = 0.0; + + for (var l = 0u; l < 8u; l += 2u) { + let q_u32 = select(q_u32_0, q_u32_1, l >= 4u); + let qs = select(q_u32 & 0xFFFFu, q_u32 >> 16u, (l & 2u) != 0u); + let h_u32 = select(h_u32_0, h_u32_1, l >= 4u); + let hv = select(h_u32 & 0xFFFFu, h_u32 >> 16u, (l & 2u) != 0u); + + s1 += x_block[l + 0u] * f32(qs & qm0); + s2 += x_block[l + 1u] * f32(qs & qm1); + s3 += select(0.0, x_block[l + 0u], (hv & hm0) == 0u) + + select(0.0, x_block[l + 1u], (hv & hm1) == 0u); + s4 += x_block[l + 8u] * f32(qs & qm2); + s5 += x_block[l + 9u] * f32(qs & qm3); + s6 += select(0.0, x_block[l + 8u], (hv & hm2) == 0u) + + select(0.0, x_block[l + 9u], (hv & hm3) == 0u); + } + + let d1 = d * (s1 + (1.0/256.0) * s2 - s3 * v1); + let d2 = d * (s4 + (1.0/256.0) * s5 - s6 * v2); + acc[row] += (d1 * scale0 + 0.25 * d2 * scale1) / f32(1u << shift); + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q4_K +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 144 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let il = tid / 4u; + let ir = tid % 4u; + let im = il / 2u; + let in = il % 2u; + let l0 = 4u * (2u * ir + in); + + let y_offset = 64u * im + l0; + let q_offset = 32u * im + l0; + let sc0_byte = 4u + im * 2u; + let sc2_byte = 4u + (im + 2u) * 2u; + let sc4_byte = 4u + (im + 4u) * 2u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 4u; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4u] = f32(src1[x_base + 32u + i]); + x_block[i + 8u] = f32(src1[x_base + 128u + i]); + x_block[i + 12u] = f32(src1[x_base + 160u + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + + let d = f32(load_f16_at_src0(block_byte_base + 0u)); + let dmin = f32(load_f16_at_src0(block_byte_base + 2u)); + + let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte); + let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u); + let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte); + let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u); + let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte); + let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u); + + let sc16_0 = sc0 & 0x3F3Fu; + let sc16_1 = sc2 & 0x3F3Fu; + let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u); + let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u); + + let scale0 = f32(sc16_0 & 0xFFu); + let scale1 = f32((sc16_0 >> 8u) & 0xFFu); + let min0 = f32(sc16_1 & 0xFFu); + let min1 = f32((sc16_1 >> 8u) & 0xFFu); + let scale2 = f32(sc16_2 & 0xFFu); + let scale3 = f32((sc16_2 >> 8u) & 0xFFu); + let min2 = f32(sc16_3 & 0xFFu); + let min3 = f32((sc16_3 >> 8u) & 0xFFu); + + let q1_u32 = load_u32_at_src0_aligned(block_byte_base + 16u + q_offset); + let q2_u32 = load_u32_at_src0_aligned(block_byte_base + 80u + q_offset); + + var dot = vec4(0.0, 0.0, 0.0, 0.0); + var sumx = vec4(0.0, 0.0, 0.0, 0.0); + for (var i = 0u; i < 4u; i++) { + let q1b = byte_of(q1_u32, i); + let q2b = byte_of(q2_u32, i); + dot[0] += x_block[i] * f32(q1b & 0x0Fu); + dot[1] += x_block[i + 4u] * f32(q1b >> 4u); + dot[2] += x_block[i + 8u] * f32(q2b & 0x0Fu); + dot[3] += x_block[i + 12u] * f32(q2b >> 4u); + sumx[0] += x_block[i]; + sumx[1] += x_block[i + 4u]; + sumx[2] += x_block[i + 8u]; + sumx[3] += x_block[i + 12u]; + } + + acc[row] += d * (dot[0] * scale0 + dot[1] * scale1 + dot[2] * scale2 + dot[3] * scale3) + - dmin * (sumx[0] * min0 + sumx[1] * min1 + sumx[2] * min2 + sumx[3] * min3); + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q5_K +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 176 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let il = tid / 4u; + let ir = tid % 4u; + let im = il / 2u; + let in = il % 2u; + let l0 = 4u * (2u * ir + in); + + let y_offset = 64u * im + l0; + let q_offset = 48u + 32u * im + l0; + let qh_offset = 16u + 8u * ir + 4u * in; + let sc0_byte = 4u + im * 2u; + let sc2_byte = 4u + (im + 2u) * 2u; + let sc4_byte = 4u + (im + 4u) * 2u; + + let hm1 = 1u << (2u * im); + let hm2 = hm1 << 1u; + let hm3 = hm1 << 4u; + let hm4 = hm2 << 4u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 4u; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4u] = f32(src1[x_base + 32u + i]); + x_block[i + 8u] = f32(src1[x_base + 128u + i]); + x_block[i + 12u] = f32(src1[x_base + 160u + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + + let d = f32(load_f16_at_src0(block_byte_base + 0u)); + let dmin = f32(load_f16_at_src0(block_byte_base + 2u)); + + let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte); + let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u); + let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte); + let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u); + let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte); + let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u); + + let sc16_0 = sc0 & 0x3F3Fu; + let sc16_1 = sc2 & 0x3F3Fu; + let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u); + let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u); + + let f0 = f32(sc16_0 & 0xFFu); + let f1 = f32((sc16_0 >> 8u) & 0xFFu); + let m0 = f32(sc16_1 & 0xFFu); + let m1 = f32((sc16_1 >> 8u) & 0xFFu); + let f4 = f32(sc16_2 & 0xFFu); + let f5 = f32((sc16_2 >> 8u) & 0xFFu); + let m4 = f32(sc16_3 & 0xFFu); + let m5 = f32((sc16_3 >> 8u) & 0xFFu); + + let q1_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset); + let q2_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset + 64u); + let qh_u32 = load_u32_at_src0_aligned(block_byte_base + qh_offset); + + var vals = vec4(0.0, 0.0, 0.0, 0.0); + var sumy = vec4(0.0, 0.0, 0.0, 0.0); + for (var i = 0u; i < 4u; i++) { + let q1b = byte_of(q1_u32, i); + let q2b = byte_of(q2_u32, i); + let qhb = byte_of(qh_u32, i); + + let yl0 = x_block[i]; + let yl8 = x_block[i + 4u]; + let yh0 = x_block[i + 8u]; + let yh8 = x_block[i + 12u]; + + sumy[0] += yl0; + sumy[1] += yl8; + sumy[2] += yh0; + sumy[3] += yh8; + + let q0 = f32((q1b & 0x0Fu) | select(0u, 0x10u, (qhb & hm1) != 0u)); + let q1 = f32((q1b >> 4u) | select(0u, 0x10u, (qhb & hm2) != 0u)); + let q2 = f32((q2b & 0x0Fu) | select(0u, 0x10u, (qhb & hm3) != 0u)); + let q3 = f32((q2b >> 4u) | select(0u, 0x10u, (qhb & hm4) != 0u)); + + vals[0] += yl0 * q0; + vals[1] += yl8 * q1; + vals[2] += yh0 * q2; + vals[3] += yh8 * q3; + } + + acc[row] += d * (f0 * vals[0] + f1 * vals[1] + f4 * vals[2] + f5 * vals[3]) + - dmin * (sumy[0] * m0 + sumy[1] * m1 + + sumy[2] * m4 + sumy[3] * m5); + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_Q6_K +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 210 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let ip = tid / 8u; + let il = tid % 8u; + let l0 = 4u * il; + let is = 8u * ip + l0 / 16u; + + let y_offset = 128u * ip + l0; + let q_offset_l = 64u * ip + l0; + let q_offset_h = 32u * ip + l0; + + let num_blocks = params.k / BLOCK_SIZE; + let sc_base_byte = 192u + (is & ~3u); + let sc_byte_pos = is & 3u; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var l = 0u; l < 4u; l++) { + x_block[l] = f32(src1[x_base + l]); + x_block[l + 4u] = f32(src1[x_base + 32u + l]); + x_block[l + 8u] = f32(src1[x_base + 64u + l]); + x_block[l + 12u] = f32(src1[x_base + 96u + l]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + + let d = f32(load_f16_at_src0(block_byte_base + 208u)); + let ql1_u32 = load_u32_at_src0(block_byte_base + q_offset_l); + let ql2_u32 = load_u32_at_src0(block_byte_base + q_offset_l + 32u); + let qh_u32 = load_u32_at_src0(block_byte_base + 128u + q_offset_h); + let sc_u32_0 = load_u32_at_src0(block_byte_base + sc_base_byte); + let sc_u32_1 = load_u32_at_src0(block_byte_base + sc_base_byte + 4u); + + let sc0 = sbyte_of(sc_u32_0, sc_byte_pos); + let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u); + let sc4 = sbyte_of(sc_u32_1, sc_byte_pos); + let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u); + + var sums = vec4(0.0, 0.0, 0.0, 0.0); + + for (var l = 0u; l < 4u; l++) { + let q1b = byte_of(ql1_u32, l); + let q2b = byte_of(ql2_u32, l); + let qhb = byte_of(qh_u32, l); + + let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32); + let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32); + let dq2 = f32(i32((q1b >> 4u) | (qhb & 0x30u)) - 32); + let dq3 = f32(i32((q2b >> 4u) | ((qhb & 0xC0u) >> 2u)) - 32); + + sums[0] += x_block[l] * dq0; + sums[1] += x_block[l + 4u] * dq1; + sums[2] += x_block[l + 8u] * dq2; + sums[3] += x_block[l + 12u] * dq3; + } + + acc[row] += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) + + sums[2] * f32(sc4) + sums[3] * f32(sc6)); + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ1_S +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 50 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let slot0 = half * 2u; + let y_offset = sub_blk * 32u + slot0 * 8u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + + let d = f32(load_f16_at_src0(block_byte_base)); + let qh = load_u32_at_src0(block_byte_base + 34u + sub_blk * 2u) & 0xFFFFu; + let dl = d * f32(2u * ((qh >> 12u) & 7u) + 1u); + let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000u) != 0u); + let qs_w = load_u32_at_src0(block_byte_base + 2u + sub_blk * 4u); + + var row_sum = 0.0; + for (var ll = 0u; ll < 2u; ll++) { + let l = slot0 + ll; + let qs_byte = get_byte(qs_w, l); + let ig = (qs_byte | (((qh >> (3u * l)) & 7u) << 8u)) * 8u; + let gw = iq1_grid[ig / 16u]; + let bit_base = (ig % 16u) * 2u; + for (var j = 0u; j < 8u; j++) { + let g = (gw >> (bit_base + j * 2u)) & 3u; + let gs = select(f32(g), f32(g) - 4.0, (g & 2u) != 0u); + row_sum += dl * (gs + delta) * x_block[ll * 8u + j]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ1_M +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 56 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let slot0 = half * 2u; + let y_offset = sub_blk * 32u + slot0 * 8u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + + let sc_lo = load_u32_at_src0(block_byte_base + 48u); + let sc_hi = load_u32_at_src0(block_byte_base + 52u); + let sc0 = sc_lo & 0xFFFFu; + let sc1 = (sc_lo >> 16u) & 0xFFFFu; + let sc2 = sc_hi & 0xFFFFu; + let sc3 = (sc_hi >> 16u) & 0xFFFFu; + let d_bits = (sc0 >> 12u) | ((sc1 >> 8u) & 0xF0u) | ((sc2 >> 4u) & 0xF00u) | (sc3 & 0xF000u); + let d = f32(bitcast>(d_bits)[0]); + + let sc_u16 = select(select(sc2, sc3, sub_blk >= 6u), + select(sc0, sc1, sub_blk >= 2u), + sub_blk < 4u); + + let qs_w = load_u32_at_src0(block_byte_base + sub_blk * 4u); + let qh = load_u32_at_src0(block_byte_base + 32u + sub_blk * 2u) & 0xFFFFu; + let qh_lo = qh & 0xFFu; + let qh_hi = (qh >> 8u) & 0xFFu; + + var row_sum = 0.0; + for (var ll = 0u; ll < 2u; ll++) { + let l = slot0 + ll; + let bit_off = 6u * (sub_blk % 2u) + 3u * (l / 2u); + let sub_scale = (sc_u16 >> bit_off) & 0x7u; + let dl = d * f32(2u * sub_scale + 1u); + let qh_byte = select(qh_lo, qh_hi, l >= 2u); + let ll2 = l % 2u; + let grid_idx = get_byte(qs_w, l) | (((qh_byte >> (4u * ll2)) & 7u) << 8u); + let delta = select(IQ1_DELTA, -IQ1_DELTA, ((qh_byte >> (3u + 4u * ll2)) & 1u) != 0u); + let ig = grid_idx * 8u; + let gw = iq1_grid[ig / 16u]; + let bit_base = (ig % 16u) * 2u; + for (var j = 0u; j < 8u; j++) { + let g = (gw >> (bit_base + j * 2u)) & 3u; + let gs = select(f32(g), f32(g) - 4.0, (g & 2u) != 0u); + row_sum += dl * (gs + delta) * x_block[ll * 8u + j]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ2_XXS +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 66 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let slot0 = half * 2u; + let y_offset = sub_blk * 32u + slot0 * 8u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let aux_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); + let aux_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); + let ls = aux_hi >> 28u; + let db = d * (0.5 + f32(ls)) * 0.25; + + var row_sum = 0.0; + for (var ll = 0u; ll < 2u; ll++) { + let l = slot0 + ll; + let grid_idx = (aux_lo >> (8u * l)) & 0xFFu; + let signs_idx = (aux_hi >> (7u * l)) & 0x7Fu; + let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu; + let gw_lo = iq2xxs_grid[grid_idx * 2u]; + let gw_hi = iq2xxs_grid[grid_idx * 2u + 1u]; + for (var j = 0u; j < 8u; j++) { + let gw = select(gw_hi, gw_lo, j < 4u); + let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu); + let s = select(1.0, -1.0, ((signs >> j) & 1u) != 0u); + row_sum += db * b * s * x_block[ll * 8u + j]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ2_XS +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 74 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let slot0 = half * 2u; + let y_offset = sub_blk * 32u + slot0 * 8u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); + let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); + let scales_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u); + let scales_byte = get_byte(scales_word, sub_blk % 4u); + + var row_sum = 0.0; + for (var ll = 0u; ll < 2u; ll++) { + let l = slot0 + ll; + let qs_word = select(qs_hi, qs_lo, l < 2u); + let half2 = (l % 2u) * 16u; + let qs_val = (qs_word >> half2) & 0xFFFFu; + let grid_idx = qs_val & 0x1FFu; + let signs_idx = (qs_val >> 9u) & 0x7Fu; + let sub_scale = (scales_byte >> (4u * (l / 2u))) & 0xFu; + let db = d * (0.5 + f32(sub_scale)) * 0.25; + let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu; + let gw_lo = iq2xs_grid[grid_idx * 2u]; + let gw_hi = iq2xs_grid[grid_idx * 2u + 1u]; + for (var j = 0u; j < 8u; j++) { + let gw = select(gw_hi, gw_lo, j < 4u); + let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu); + let s = select(1.0, -1.0, ((signs >> j) & 1u) != 0u); + row_sum += db * b * s * x_block[ll * 8u + j]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ2_S +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 82 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let slot0 = half * 2u; + let y_offset = sub_blk * 32u + slot0 * 8u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let qs_w = load_u32_at_src0(block_byte_base + 2u + sub_blk * 4u); + let sg_w = load_u32_at_src0(block_byte_base + 34u + sub_blk * 4u); + let qh_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u); + let qh_byte = get_byte(qh_word, sub_blk % 4u); + let sc_word = load_u32_at_src0(block_byte_base + 74u + (sub_blk / 4u) * 4u); + let scales_byte = get_byte(sc_word, sub_blk % 4u); + + var row_sum = 0.0; + for (var ll = 0u; ll < 2u; ll++) { + let l = slot0 + ll; + let qs_byte = get_byte(qs_w, l); + let sign_byte = get_byte(sg_w, l); + let grid_idx = qs_byte | (((qh_byte >> (2u * l)) & 3u) << 8u); + let sub_scale = (scales_byte >> (4u * (l / 2u))) & 0xFu; + let db = d * (0.5 + f32(sub_scale)) * 0.25; + let gw_lo = iq2s_grid[grid_idx * 2u]; + let gw_hi = iq2s_grid[grid_idx * 2u + 1u]; + for (var j = 0u; j < 8u; j++) { + let gw = select(gw_hi, gw_lo, j < 4u); + let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu); + let s = select(1.0, -1.0, ((sign_byte >> j) & 1u) != 0u); + row_sum += db * b * s * x_block[ll * 8u + j]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ3_XXS +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 98 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let slot0 = half * 2u; + let y_offset = sub_blk * 32u + slot0 * 8u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); + let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); + let aux = load_u32_at_src0(block_byte_base + 66u + sub_blk * 4u); + let ls = aux >> 28u; + let db = d * (0.5 + f32(ls)) * 0.5; + + var row_sum = 0.0; + for (var ll = 0u; ll < 2u; ll++) { + let l = slot0 + ll; + let qs_word = select(qs_hi, qs_lo, l < 2u); + let byte_pos = (l % 2u) * 2u; + let grid_idx_0 = (qs_word >> (byte_pos * 8u)) & 0xFFu; + let grid_idx_1 = (qs_word >> ((byte_pos + 1u) * 8u)) & 0xFFu; + let signs_idx = (aux >> (7u * l)) & 0x7Fu; + let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu; + let grid1 = iq3xxs_grid[grid_idx_0]; + let grid2 = iq3xxs_grid[grid_idx_1]; + for (var j = 0u; j < 4u; j++) { + let b1 = f32((grid1 >> (j * 8u)) & 0xFFu); + let b2 = f32((grid2 >> (j * 8u)) & 0xFFu); + let s1 = select(1.0, -1.0, ((signs >> j) & 1u) != 0u); + let s2 = select(1.0, -1.0, ((signs >> (j + 4u)) & 1u) != 0u); + row_sum += db * b1 * s1 * x_block[ll * 8u + j]; + row_sum += db * b2 * s2 * x_block[ll * 8u + j + 4u]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ3_S +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 110 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let slot0 = half * 2u; + let y_offset = sub_blk * 32u + slot0 * 8u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u); + let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u); + let qh_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u); + let qh_byte = get_byte(qh_word, sub_blk % 4u); + let sg_w = load_u32_at_src0(block_byte_base + 74u + sub_blk * 4u); + let sc_word = load_u32_at_src0(block_byte_base + 106u); + let scales_byte = get_byte(sc_word, sub_blk / 2u); + let sub_scale = (scales_byte >> (4u * (sub_blk % 2u))) & 0xFu; + let db = d * (1.0 + 2.0 * f32(sub_scale)); + + var row_sum = 0.0; + for (var ll = 0u; ll < 2u; ll++) { + let l = slot0 + ll; + let qs_word = select(qs_hi, qs_lo, l < 2u); + let byte_pos = (l % 2u) * 2u; + let qs0 = (qs_word >> (byte_pos * 8u)) & 0xFFu; + let qs1 = (qs_word >> ((byte_pos + 1u) * 8u)) & 0xFFu; + let grid_idx_1 = qs0 | (((qh_byte >> (2u * l)) & 1u) << 8u); + let grid_idx_2 = qs1 | (((qh_byte >> (2u * l + 1u)) & 1u) << 8u); + let sign_byte = get_byte(sg_w, l); + let grid1 = iq3s_grid[grid_idx_1]; + let grid2 = iq3s_grid[grid_idx_2]; + for (var j = 0u; j < 4u; j++) { + let b1 = f32((grid1 >> (j * 8u)) & 0xFFu); + let b2 = f32((grid2 >> (j * 8u)) & 0xFFu); + let s1 = select(1.0, -1.0, ((sign_byte >> j) & 1u) != 0u); + let s2 = select(1.0, -1.0, ((sign_byte >> (j + 4u)) & 1u) != 0u); + row_sum += db * b1 * s1 * x_block[ll * 8u + j]; + row_sum += db * b2 * s2 * x_block[ll * 8u + j + 4u]; + } + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ4_NL +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 18 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % THREADS_PER_BLOCK; + for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4u; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD / 2u; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4u] = f32(src1[x_base + i + 16u]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + var row_sum = 0.0; + + let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * thread_within_block); + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_byte = get_byte(q_packed, byte_idx); + let q_lo = f32(kvalues_iq4nl[q_byte & 0xFu]) * d; + let q_hi = f32(kvalues_iq4nl[(q_byte >> 4u) & 0xFu]) * d; + row_sum += q_lo * x_block[byte_idx]; + row_sum += q_hi * x_block[byte_idx + 4u]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_IQ4_XS +#define BLOCK_SIZE 256 +#define BLOCK_SIZE_BYTES 136 +#define THREADS_PER_BLOCK 16 +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let tid = thread_id % THREADS_PER_BLOCK; + let block_group = thread_id / THREADS_PER_BLOCK; + let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK; + + let sub_blk = tid / 2u; + let half = tid % 2u; + let y_offset = sub_blk * 32u + half * 16u; + + let num_blocks = params.k / BLOCK_SIZE; + + for (var block = block_group; block < num_blocks; block += num_block_groups) { + let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset; + var x_block: array; + for (var i = 0u; i < 16u; i++) { + x_block[i] = f32(src1[x_base + i]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let d = f32(load_f16_at_src0(block_byte_base)); + let scales_h = load_u16_at_src0(block_byte_base + 2u); + let scales_l_word = load_u32_at_src0(block_byte_base + 4u); + let sl_byte = get_byte(scales_l_word, sub_blk / 2u); + let sl = (sl_byte >> (4u * (sub_blk % 2u))) & 0xFu; + let sh_bits = (scales_h >> (2u * sub_blk)) & 3u; + let ls = i32(sl | (sh_bits << 4u)); + let dl = d * f32(ls - 32); + + let qs_byte_off = 8u + sub_blk * 16u; + let q_w0 = load_u32_at_src0(block_byte_base + qs_byte_off); + let q_w1 = load_u32_at_src0(block_byte_base + qs_byte_off + 4u); + let q_w2 = load_u32_at_src0(block_byte_base + qs_byte_off + 8u); + let q_w3 = load_u32_at_src0(block_byte_base + qs_byte_off + 12u); + + var row_sum = 0.0; + for (var i = 0u; i < 16u; i++) { + let q_word = select( + select(q_w0, q_w1, i >= 4u), + select(q_w2, q_w3, i >= 12u), + i >= 8u); + let q_byte = get_byte(q_word, i % 4u); + let nib = select(q_byte & 0xFu, (q_byte >> 4u) & 0xFu, half == 1u); + row_sum += f32(kvalues_iq4nl[nib]) * dl * x_block[i]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif + +#ifdef MUL_ACC_MXFP4 +#define BLOCK_SIZE 32 +#define BLOCK_SIZE_BYTES 17 +#define THREADS_PER_BLOCK 4 +#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK) +fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array { + var acc: array; + + let num_blocks = params.k / BLOCK_SIZE; + let thread_within_block = thread_id % 4; + for (var block = thread_id/THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE/THREADS_PER_BLOCK) { + let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4; + var x_block: array; + for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) { + x_block[i] = f32(src1[x_base + i]); + x_block[i + 4] = f32(src1[x_base + i + 16]); + } + + for (var row = 0u; row < OUTPUTS_PER_WG; row++) { + let output_row = row_base + row; + if (output_row < params.m) { + let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES; + let eu8 = get_byte(load_u32_at_src0(block_byte_base), 0); + let e = ldexp(1.0, i32(eu8) - 128); + var row_sum = 0.0; + let q_packed = load_u32_at_src0(block_byte_base + 1u + 4u * thread_within_block); + for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) { + let q_byte = get_byte(q_packed, byte_idx); + let q_lo = f32(kvalues_mxfp4[q_byte & 0xFu]) * e; + let q_hi = f32(kvalues_mxfp4[(q_byte >> 4u) & 0xFu]) * e; + row_sum += q_lo * x_block[byte_idx]; + row_sum += q_hi * x_block[byte_idx + 4u]; + } + acc[row] += row_sum; + } + } + } + + return acc; +} +#endif diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl index bd8d32bded..5eaf5e7bbe 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl @@ -1,20 +1,17 @@ -#ifdef INPLACE -fn update(src_offset: u32, dst_offset: u32, scale: f32) { - src[dst_offset] = scale * src[src_offset]; -} +#if defined(SRC_F16) || defined(DST_F16) +enable f16; +#endif -@group(0) @binding(1) -var params: Params; +#ifdef SRC_F16 +#define SRC_TYPE f16 #else -fn update(src_offset: u32, dst_offset: u32, scale: f32) { - dst[dst_offset] = scale * src[src_offset]; -} +#define SRC_TYPE f32 +#endif -@group(0) @binding(1) -var dst: array; - -@group(0) @binding(2) -var params: Params; +#ifdef DST_F16 +#define DST_TYPE f16 +#else +#define DST_TYPE f32 #endif struct Params { @@ -40,9 +37,20 @@ struct Params { }; @group(0) @binding(0) -var src: array; +var src: array; -var scratch: array; +#ifdef INPLACE +@group(0) @binding(1) +var params: Params; +#else +@group(0) @binding(1) +var dst: array; + +@group(0) @binding(2) +var params: Params; +#endif + +var scratch: array; @compute @workgroup_size(WG_SIZE) fn main(@builtin(workgroup_id) wid: vec3, @@ -65,34 +73,81 @@ fn main(@builtin(workgroup_id) wid: vec3, if (col >= params.ne0) { break; } - sum += pow(src[i_src_row + col], 2.0); + let v = f32(src[i_src_row + col]); +#ifdef NORM + sum += v; +#else + sum += v * v; +#endif col += WG_SIZE; } scratch[lid.x] = sum; workgroupBarrier(); - var offset: u32 = WG_SIZE / 2; + + var offset: u32 = WG_SIZE / 2u; while (offset > 0) { if (lid.x < offset) { scratch[lid.x] += scratch[lid.x + offset]; } - offset = offset / 2; + offset /= 2u; workgroupBarrier(); } sum = scratch[0]; -#ifdef RMS_NORM +#ifdef NORM + let mean = sum / f32(params.ne0); + var sq_sum = 0.0f; + col = lid.x; + for (var j: u32 = 0; j < elems; j++) { + if (col >= params.ne0) { + break; + } + let v = f32(src[i_src_row + col]); + let d = v - mean; + sq_sum += d * d; + col += WG_SIZE; + } + + workgroupBarrier(); + scratch[lid.x] = sq_sum; + workgroupBarrier(); + offset = WG_SIZE / 2u; + while (offset > 0) { + if (lid.x < offset) { + scratch[lid.x] += scratch[lid.x + offset]; + } + offset /= 2u; + workgroupBarrier(); + } + + let variance = scratch[0] / f32(params.ne0); + let scale = 1.0 / sqrt(variance + params.eps); +#elif defined(RMS_NORM) let scale = 1.0/sqrt(sum/f32(params.ne0) + params.eps); #elif defined(L2_NORM) let scale = 1.0/max(sqrt(sum), params.eps); #endif +#ifdef NORM + let mean_val = mean; +#else + let mean_val = 0.0f; +#endif + col = lid.x; for (var j: u32 = 0; j < elems; j++) { if (col >= params.ne0) { break; } - update(i_src_row + col, i_dst_row + col, scale); + let i_src = i_src_row + col; + let i_dst = i_dst_row + col; + let v = src[i_src]; +#ifdef INPLACE + src[i_dst] = scale * (v - mean_val); +#else + dst[i_dst] = scale * (v - mean_val); +#endif col += WG_SIZE; } } diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl index b8f1bca128..8e34e1c9ca 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl @@ -50,10 +50,25 @@ struct Params { @group(0) @binding(PARAMS_BINDING) var params: Params; +fn erf_approx(x: TYPE) -> TYPE { + let x_f32 = f32(x); + let s = select(-1.0, 1.0, x_f32 >= 0.0); + let ax = abs(x_f32); + + let t = 1.0 / (1.0 + 0.3275911 * ax); + + let y = 1.0 - + (((((1.061405429 * t - 1.453152027) * t + 1.421413741) * t + - 0.284496736) * t + 0.254829592) * t) * + exp(-ax * ax); + + return TYPE(s * y); +} + @compute @workgroup_size(WG_SIZE) fn main(@builtin(global_invocation_id) gid: vec3) { if (gid.x >= params.ne) { - return; + return; } var i = gid.x; let ne2 = params.ne2; @@ -71,15 +86,13 @@ fn main(@builtin(global_invocation_id) gid: vec3) { let i1 = i / ne0; let i0 = i % ne0; - let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 + - i2 * params.stride_src2 + i3 * params.stride_src3; + let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 + i2 * params.stride_src2 + i3 * params.stride_src3; #ifdef ABS let res = abs(src[params.offset_src + src_idx]); #endif #ifdef SGN - let res = select(TYPE(select(0.0, -1.0, src[params.offset_src + src_idx] < 0.0)), TYPE(1.0), - src[params.offset_src + src_idx] > 0.0); + let res = select(TYPE(select(0.0, -1.0, src[params.offset_src + src_idx] < 0.0)), TYPE(1.0), src[params.offset_src + src_idx] > 0.0); #endif #ifdef NEG let res = -src[params.offset_src + src_idx]; @@ -94,8 +107,7 @@ fn main(@builtin(global_invocation_id) gid: vec3) { let res = select(0.0, src[params.offset_src + src_idx], src[params.offset_src + src_idx] > 0.0); #endif #ifdef ELU - let res = select(exp(src[params.offset_src + src_idx]) - 1.0, src[params.offset_src + src_idx], - src[params.offset_src + src_idx] > 0.0); + let res = select(exp(src[params.offset_src + src_idx]) - 1.0, src[params.offset_src + src_idx], src[params.offset_src + src_idx] > 0.0); #endif #ifdef HARDSIGMOID let res = min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0)); @@ -120,31 +132,16 @@ fn main(@builtin(global_invocation_id) gid: vec3) { let res = TYPE(params.fill_val); #endif #ifdef HARDSWISH - let res = src[params.offset_src + src_idx] * - min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0)); + let res = src[params.offset_src + src_idx] * min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0)); #endif #ifdef GELU - let res = 0.5 * src[params.offset_src + src_idx] * - (1.0 + tanh(clamp(sqrt(2.0 / 3.14159265) * - (src[params.offset_src + src_idx] + - 0.044715 * pow(src[params.offset_src + src_idx], 3.0)), - -9.010913, 9.010913))); + let res = 0.5 * src[params.offset_src + src_idx] * (1.0 + tanh(clamp(0.7978845608028654 * (src[params.offset_src + src_idx] + 0.044715 * src[params.offset_src + src_idx] * src[params.offset_src + src_idx] * src[params.offset_src + src_idx]), -9.010913, 9.010913))); #endif #ifdef GELU_QUICK - let res = src[params.offset_src + src_idx] * 0.5 * - (1.0 + tanh(clamp(0.79788456 * - (src[params.offset_src + src_idx] + - 0.044715 * src[params.offset_src + src_idx] * - src[params.offset_src + src_idx] * src[params.offset_src + src_idx]), - -9.010913, 9.010913))); + let res = src[params.offset_src + src_idx] * (1.0 / (1.0 + exp(clamp(-1.702 * src[params.offset_src + src_idx], -80.0, 80.0)))); #endif #ifdef GELU_ERF - let res = 0.5 * src[params.offset_src + src_idx] * - (1.0 + tanh(clamp(0.79788456 * - (src[params.offset_src + src_idx] + - 0.044715 * src[params.offset_src + src_idx] * - src[params.offset_src + src_idx] * src[params.offset_src + src_idx]), - -9.010913, 9.010913))); + let res = 0.5 * src[params.offset_src + src_idx] * (1.0 + erf_approx(src[params.offset_src + src_idx] * 0.7071067811865476)); #endif #ifdef XIELU let val = f32(src[params.offset_src + src_idx]); diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/upscale.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/upscale.wgsl new file mode 100644 index 0000000000..e9ef882264 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/upscale.wgsl @@ -0,0 +1,240 @@ +#if defined(SRC_F16) || defined(DST_F16) +enable f16; +#endif + +#ifdef SRC_F16 +#define SRC_TYPE f16 +#else +#define SRC_TYPE f32 +#endif + +#ifdef DST_F16 +#define DST_TYPE f16 +#else +#define DST_TYPE f32 +#endif + +@group(0) @binding(0) +var input: array; + +@group(0) @binding(1) +var output: array; + +struct Params { + offset_i: u32, + offset_o: u32, + + // element strides + si0: u32, si1: u32, si2: u32, si3: u32, + so0: u32, so1: u32, so2: u32, so3: u32, + + src_w: u32, + src_h: u32, + src_z: u32, + src_n: u32, + + dst_w: u32, + dst_h: u32, + dst_z: u32, + dst_n: u32, + + mode_flags: u32, +}; + +@group(0) @binding(2) +var params: Params; + +const GGML_SCALE_FLAG_ALIGN_CORNERS: u32 = 1u << 8u; + +fn get_clamped_input(x: i32, y: i32, z: u32, n: u32) -> f32 { + let cx = u32(clamp(x, 0, i32(params.src_w) - 1)); + let cy = u32(clamp(y, 0, i32(params.src_h) - 1)); + let i = params.offset_i + cx * params.si0 + cy * params.si1 + z * params.si2 + n * params.si3; + return f32(input[i]); +} + +fn cubic_weight(t: f32, a: f32) -> f32 { + let at = abs(t); + if (at <= 1.0) { + return (a + 2.0) * at * at * at - (a + 3.0) * at * at + 1.0; + } else if (at <= 2.0) { + return a * at * at * at - 5.0 * a * at * at + 8.0 * a * at - 4.0 * a; + } else { + return 0.0; + } +} + +@compute @workgroup_size(WG_SIZE) +fn main( + @builtin(global_invocation_id) gid: vec3, + @builtin(num_workgroups) num_wg: vec3 +) { + + let i_out = gid.x + (num_wg.x * u32(WG_SIZE)) * gid.y; + let total = params.dst_w * params.dst_h * params.dst_z * params.dst_n; + + if (i_out >= total) { + return; + } + + // decode (x, y, z, n) + var i = i_out; + let x_dst = i % params.dst_w; + i = i / params.dst_w; + let y_dst = i % params.dst_h; + i = i / params.dst_h; + let z_dst = i % params.dst_z; + let n_dst = i / params.dst_z; + + // scale factors + var sf0 = f32(params.dst_w) / f32(params.src_w); + var sf1 = f32(params.dst_h) / f32(params.src_h); + var sf2 = f32(params.dst_z) / f32(params.src_z); + var sf3 = f32(params.dst_n) / f32(params.src_n); + + let align_corners = (params.mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) != 0; + + // pixel_offset: 0.5 for half-pixel-center (default), 0.0 for align_corners + var pixel_offset = 0.5; + if (align_corners) { + pixel_offset = 0.0; + if (params.dst_w > 1 && params.src_w > 1) { + sf0 = f32(params.dst_w - 1) / f32(params.src_w - 1); + } + if (params.dst_h > 1 && params.src_h > 1) { + sf1 = f32(params.dst_h - 1) / f32(params.src_h - 1); + } + } + + let z_src = min(params.src_z - 1, u32(floor(f32(z_dst) / sf2))); + let n_src = min(params.src_n - 1, u32(floor(f32(n_dst) / sf3))); + + var result = 0.0; + +#if defined(NEAREST) + + let x_src = min(params.src_w - 1, u32(floor(f32(x_dst) / sf0))); + let y_src = min(params.src_h - 1, u32(floor(f32(y_dst) / sf1))); + + result = get_clamped_input(i32(x_src), i32(y_src), z_src, n_src); + +#elif defined(BILINEAR) + +#if defined(ANTIALIAS) + + // Antialiased bilinear: triangle filter over a variable support region. + let support0 = max(1.0f / sf0, 1.0f); + let support1 = max(1.0f / sf1, 1.0f); + let invscale0 = 1.0 / support0; + let invscale1 = 1.0 / support1; + + let fx = (f32(x_dst) + pixel_offset) / sf0; + let fy = (f32(y_dst) + pixel_offset) / sf1; + + let x_min = max(i32(fx - support0 + pixel_offset), 0); + let y_min = max(i32(fy - support1 + pixel_offset), 0); + let x_max = min(i32(fx + support0 + pixel_offset), i32(params.src_w)); + let y_max = min(i32(fy + support1 + pixel_offset), i32(params.src_h)); + + var weighted_sum = 0.0; + var total_weight = 0.0; + + for (var x = x_min; x < x_max; x += 1) { + let wx = max(1.0 - abs(f32(x) - fx + pixel_offset) * invscale0, 0.0); + for (var y = y_min; y < y_max; y += 1) { + let wy = max(1.0 - abs(f32(y) - fy + pixel_offset) * invscale1, 0.0); + let w = wx * wy; + if (w > 0.0) { + weighted_sum += get_clamped_input(x, y, z_src, n_src) * w; + total_weight += w; + } + } + } + + if (total_weight > 0.0) { + result = weighted_sum / total_weight; + } + +#else + + let fx = (f32(x_dst) + pixel_offset) / sf0 - pixel_offset; + let fy = (f32(y_dst) + pixel_offset) / sf1 - pixel_offset; + let x0 = i32(floor(fx)); + let y0 = i32(floor(fy)); + let dx = clamp(fx - f32(x0), 0.0, 1.0); + let dy = clamp(fy - f32(y0), 0.0, 1.0); + let a = get_clamped_input(x0, y0, z_src, n_src); + let b = get_clamped_input(x0 + 1, y0, z_src, n_src); + let c = get_clamped_input(x0, y0 + 1, z_src, n_src); + let d = get_clamped_input(x0 + 1, y0 + 1, z_src, n_src); + + let wa = (1.0 - dx) * (1.0 - dy); + let wb = dx * (1.0 - dy); + let wc = (1.0 - dx) * dy; + let wd = dx * dy; + + result = a * wa + b * wb + c * wc + d * wd; + +#endif + +#elif defined(BICUBIC) + + // bicubic convolution with alpha = -0.75 (PyTorch default) + let alpha = -0.75; + let fx = (f32(x_dst) + pixel_offset) / sf0 - pixel_offset; + let fy = (f32(y_dst) + pixel_offset) / sf1 - pixel_offset; + + let x0 = i32(floor(fx)); + let y0 = i32(floor(fy)); + let dx = fx - f32(x0); + let dy = fy - f32(y0); + + // horizontal weights for offsets -1, 0, 1, 2 + let wx0 = cubic_weight(dx + 1.0, alpha); + let wx1 = cubic_weight(dx, alpha); + let wx2 = cubic_weight(1.0 - dx, alpha); + let wx3 = cubic_weight(2.0 - dx, alpha); + + // vertical weights for offsets -1, 0, 1, 2 + let wy0 = cubic_weight(dy + 1.0, alpha); + let wy1 = cubic_weight(dy, alpha); + let wy2 = cubic_weight(1.0 - dy, alpha); + let wy3 = cubic_weight(2.0 - dy, alpha); + + // intermediate horizontal interpolation for 4x4 grid of pixels + // x0-1, x0, x0+1, x0+2, y0-1 + let p0 = get_clamped_input(x0 - 1, y0 - 1, z_src, n_src); + let p1 = get_clamped_input(x0, y0 - 1, z_src, n_src); + let p2 = get_clamped_input(x0 + 1, y0 - 1, z_src, n_src); + let p3 = get_clamped_input(x0 + 2, y0 - 1, z_src, n_src); + let row0 = p0 * wx0 + p1 * wx1 + p2 * wx2 + p3 * wx3; + + // x0-1, x0, x0+1, x0+2, y0 + let q0 = get_clamped_input(x0 - 1, y0, z_src, n_src); + let q1 = get_clamped_input(x0, y0, z_src, n_src); + let q2 = get_clamped_input(x0 + 1, y0, z_src, n_src); + let q3 = get_clamped_input(x0 + 2, y0, z_src, n_src); + let row1 = q0 * wx0 + q1 * wx1 + q2 * wx2 + q3 * wx3; + + // x0-1, x0, x0+1, x0+2, y0+1 + let r0 = get_clamped_input(x0 - 1, y0 + 1, z_src, n_src); + let r1 = get_clamped_input(x0, y0 + 1, z_src, n_src); + let r2 = get_clamped_input(x0 + 1, y0 + 1, z_src, n_src); + let r3 = get_clamped_input(x0 + 2, y0 + 1, z_src, n_src); + let row2 = r0 * wx0 + r1 * wx1 + r2 * wx2 + r3 * wx3; + + // x0-1, x0, x0+1, x0+2, y0+2 + let s0 = get_clamped_input(x0 - 1, y0 + 2, z_src, n_src); + let s1 = get_clamped_input(x0, y0 + 2, z_src, n_src); + let s2 = get_clamped_input(x0 + 1, y0 + 2, z_src, n_src); + let s3 = get_clamped_input(x0 + 2, y0 + 2, z_src, n_src); + let row3 = s0 * wx0 + s1 * wx1 + s2 * wx2 + s3 * wx3; + + // final vertical interpolation + result = row0 * wy0 + row1 * wy1 + row2 * wy2 + row3 * wy3; + +#endif + + let dst_idx = params.offset_o + x_dst * params.so0 + y_dst * params.so1 + z_dst * params.so2 + n_dst * params.so3; + output[dst_idx] = DST_TYPE(result); +} diff --git a/ggml/src/ggml-zdnn/ggml-zdnn.cpp b/ggml/src/ggml-zdnn/ggml-zdnn.cpp index e6b6fc24fd..639b818d12 100644 --- a/ggml/src/ggml-zdnn/ggml-zdnn.cpp +++ b/ggml/src/ggml-zdnn/ggml-zdnn.cpp @@ -423,8 +423,8 @@ static ggml_backend_i ggml_backend_zdnn_i = { /* .free = */ ggml_backend_zdnn_free, /* .set_tensor_async = */ NULL, /* .get_tensor_async = */ NULL, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, /* .synchronize = */ NULL, /* .graph_plan_create = */ NULL, diff --git a/ggml/src/ggml-zendnn/CMakeLists.txt b/ggml/src/ggml-zendnn/CMakeLists.txt index 4f321a2525..f1e4f991fa 100644 --- a/ggml/src/ggml-zendnn/CMakeLists.txt +++ b/ggml/src/ggml-zendnn/CMakeLists.txt @@ -28,7 +28,7 @@ if (NOT ZENDNN_ROOT OR ZENDNN_ROOT STREQUAL "" OR ZENDNN_ROOT STREQUAL "OFF") ExternalProject_Add( zendnn GIT_REPOSITORY https://github.com/amd/ZenDNN.git - GIT_TAG f79f7321a1add65ced6397a6bfab7edba6e3e14e # ZenDNN-2026-WW13 + GIT_TAG ac9e580d9434b7b98985f2627a7ebfb5eba4bb0d # ZenDNN-2026-WW17 PREFIX ${ZENDNN_PREFIX} SOURCE_DIR ${ZENDNN_SOURCE_DIR} BINARY_DIR ${ZENDNN_BUILD_DIR} diff --git a/ggml/src/ggml-zendnn/ggml-zendnn.cpp b/ggml/src/ggml-zendnn/ggml-zendnn.cpp index fc1df4dbef..6a83bb6b1e 100644 --- a/ggml/src/ggml-zendnn/ggml-zendnn.cpp +++ b/ggml/src/ggml-zendnn/ggml-zendnn.cpp @@ -47,6 +47,7 @@ static bool ggml_zendnn_matmul(ggml_backend_zendnn_context * ctx, int64_t m, int params.dtypes.dst = ggml_to_zendnn_type(); params.num_threads = ctx->n_threads; + zendnnl::lowoha::matmul::matmul_batch_params_t batch_params; zendnnl::error_handling::status_t status = zendnnl::lowoha::matmul::matmul_direct( 'r', false, true, // row-major, don't transpose B, transpose A (because it's column-major) n, // M: rows of B and C @@ -59,7 +60,7 @@ static bool ggml_zendnn_matmul(ggml_backend_zendnn_context * ctx, int64_t m, int 0.0f, // beta C, ldc, // output C[n,m] true, // is_weights_const - {}, // batch_params + batch_params, // batch_params params // params ); @@ -407,8 +408,8 @@ static struct ggml_backend_i ggml_backend_zendnn_i = { /* .free = */ ggml_backend_zendnn_free, /* .set_tensor_async = */ NULL, /* .get_tensor_async = */ NULL, - /* .get_tensor_2d_async = */ NULL, /* .set_tensor_2d_async = */ NULL, + /* .get_tensor_2d_async = */ NULL, /* .cpy_tensor_async = */ NULL, /* .synchronize = */ NULL, /* .graph_plan_create = */ NULL, @@ -520,6 +521,12 @@ static ggml_backend_buffer_t ggml_backend_zendnn_device_buffer_from_host_ptr(ggm GGML_UNUSED(max_tensor_size); } +static bool ggml_zendnn_adaptive_fallback_enabled() { + static const bool enabled = std::getenv("GGML_ZENDNN_ADAPTIVE_FALLBACK") == nullptr || + std::atoi(std::getenv("GGML_ZENDNN_ADAPTIVE_FALLBACK")) != 0; + return enabled; +} + static bool ggml_backend_zendnn_device_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) { switch (op->op) { case GGML_OP_NONE: @@ -538,12 +545,24 @@ static bool ggml_backend_zendnn_device_supports_op(ggml_backend_dev_t dev, const const int64_t ne10 = inputs->ne[0]; const int64_t ne0 = op->ne[0]; const int64_t ne1 = op->ne[1]; - const int64_t min_batch = 1; - if (!ggml_is_contiguous(weights) || !ggml_is_contiguous(inputs) || - ne0 < min_batch || ne1 < min_batch || ne10 < min_batch) { - return false; + + if(!ggml_is_contiguous(weights) || !ggml_is_contiguous(inputs)) { + return false; } + + if (ggml_zendnn_adaptive_fallback_enabled()) { + const int64_t K = inputs->ne[0]; + const int64_t N = (inputs->ne[1]*inputs->ne[2]*inputs->ne[3]); + const int64_t M = weights->ne[1]; + if(K <= 256 || N <= 128 || M <= 96) { + return false; + } + } + else if (ne0 < min_batch || ne1 < min_batch || ne10 < min_batch) { + return false; + } + // MUL_MAT_ID performs best with a moderate number of experts due to its // gather + batched matmul + scatter approach. Future versions will leverage // ZenDNN's grouped_gemm for better scalability with larger expert counts: diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index 54d3eae3e4..191cf2fa10 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -55,8 +55,13 @@ uint64_t ggml_graph_next_uid(void) { #ifdef _MSC_VER +#if defined(_WIN32) + static volatile LONG counter = 1; + return (uint64_t) InterlockedIncrement(&counter) - 1; +#else static volatile long long counter = 1; return (uint64_t) _InterlockedIncrement64(&counter) - 1; +#endif #else static uint64_t counter = 1; return __atomic_fetch_add(&counter, 1, __ATOMIC_RELAXED); @@ -3259,6 +3264,16 @@ void ggml_mul_mat_set_prec( ggml_set_op_params_i32(a, 0, prec_i32); } +void ggml_mul_mat_set_hint( + struct ggml_tensor * a, + enum ggml_op_hint hint) { + GGML_ASSERT(a->op == GGML_OP_MUL_MAT); + + const int32_t hint_i32 = (int32_t) hint; + + ggml_set_op_params_i32(a, 1, hint_i32); +} + // ggml_mul_mat_id /* diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py index 83ae51ce9c..4055ec2873 100644 --- a/gguf-py/gguf/constants.py +++ b/gguf-py/gguf/constants.py @@ -175,6 +175,7 @@ class Keys: SLIDING_WINDOW = "{arch}.attention.sliding_window" SCALE = "{arch}.attention.scale" OUTPUT_SCALE = "{arch}.attention.output_scale" + VALUE_SCALE = "{arch}.attention.value_scale" TEMPERATURE_LENGTH = "{arch}.attention.temperature_length" KEY_LENGTH_MLA = "{arch}.attention.key_length_mla" VALUE_LENGTH_MLA = "{arch}.attention.value_length_mla" @@ -298,30 +299,32 @@ class Keys: HAS_LLAVA_PROJECTOR = "clip.has_llava_projector" class ClipVision: - PROJECTOR_TYPE = "clip.vision.projector_type" # for mixed modality models - IMAGE_SIZE = "clip.vision.image_size" - IMAGE_MIN_PIXELS = "clip.vision.image_min_pixels" - IMAGE_MAX_PIXELS = "clip.vision.image_max_pixels" - PREPROC_MIN_TILES = "clip.vision.preproc_min_tiles" - PREPROC_MAX_TILES = "clip.vision.preproc_max_tiles" - PREPROC_IMAGE_SIZE = "clip.vision.preproc_image_size" - PATCH_SIZE = "clip.vision.patch_size" - EMBEDDING_LENGTH = "clip.vision.embedding_length" - FEED_FORWARD_LENGTH = "clip.vision.feed_forward_length" - PROJECTION_DIM = "clip.vision.projection_dim" - BLOCK_COUNT = "clip.vision.block_count" - IMAGE_MEAN = "clip.vision.image_mean" - IMAGE_STD = "clip.vision.image_std" - SPATIAL_MERGE_SIZE = "clip.vision.spatial_merge_size" - USE_GELU = "clip.use_gelu" - USE_SILU = "clip.use_silu" - N_WA_PATTERN = "clip.vision.n_wa_pattern" # used by qwen2.5vl - WA_LAYER_INDEXES = "clip.vision.wa_layer_indexes" # used by youtuvl - IS_DEEPSTACK_LAYERS = "clip.vision.is_deepstack_layers" - WINDOW_SIZE = "clip.vision.window_size" + PROJECTOR_TYPE = "clip.vision.projector_type" # for mixed modality models + IMAGE_SIZE = "clip.vision.image_size" + IMAGE_MIN_PIXELS = "clip.vision.image_min_pixels" + IMAGE_MAX_PIXELS = "clip.vision.image_max_pixels" + PREPROC_MIN_TILES = "clip.vision.preproc_min_tiles" + PREPROC_MAX_TILES = "clip.vision.preproc_max_tiles" + PREPROC_IMAGE_SIZE = "clip.vision.preproc_image_size" + PATCH_SIZE = "clip.vision.patch_size" + EMBEDDING_LENGTH = "clip.vision.embedding_length" + FEED_FORWARD_LENGTH = "clip.vision.feed_forward_length" + PROJECTION_DIM = "clip.vision.projection_dim" + BLOCK_COUNT = "clip.vision.block_count" + IMAGE_MEAN = "clip.vision.image_mean" + IMAGE_STD = "clip.vision.image_std" + SPATIAL_MERGE_SIZE = "clip.vision.spatial_merge_size" + USE_GELU = "clip.use_gelu" + USE_SILU = "clip.use_silu" + N_WA_PATTERN = "clip.vision.n_wa_pattern" # used by qwen2.5vl + WA_LAYER_INDEXES = "clip.vision.wa_layer_indexes" # used by youtuvl + WA_PATTERN_MODE = "clip.vision.wa_pattern_mode" # used by mimovl, per-layer -1/0/1 + IS_DEEPSTACK_LAYERS = "clip.vision.is_deepstack_layers" + WINDOW_SIZE = "clip.vision.window_size" class Attention: HEAD_COUNT = "clip.vision.attention.head_count" + HEAD_COUNT_KV = "clip.vision.attention.head_count_kv" # used by mimovl (GQA) LAYERNORM_EPS = "clip.vision.attention.layer_norm_epsilon" class Projector: @@ -339,6 +342,9 @@ class Keys: FEED_FORWARD_LENGTH = "clip.audio.feed_forward_length" PROJECTION_DIM = "clip.audio.projection_dim" BLOCK_COUNT = "clip.audio.block_count" + CHUNK_SIZE = "clip.audio.chunk_size" + CONV_KERNEL_SIZE = "clip.audio.conv_kernel_size" + MAX_POS_EMB = "clip.audio.max_pos_emb" class Attention: HEAD_COUNT = "clip.audio.attention.head_count" @@ -346,6 +352,9 @@ class Keys: class Projector: STACK_FACTOR = "clip.audio.projector.stack_factor" + WINDOW_SIZE = "clip.audio.projector.window_size" + DOWNSAMPLE_RATE = "clip.audio.projector.downsample_rate" + HEAD_COUNT = "clip.audio.projector.head_count" class Diffusion: SHIFT_LOGITS = "diffusion.shift_logits" @@ -726,6 +735,7 @@ class MODEL_TENSOR(IntEnum): V_ENC_ATTN_V = auto() V_ENC_ATTN_O = auto() V_ENC_ATTN_O_NORM = auto() + V_ENC_ATTN_SINKS = auto() # mimovl V_ENC_POST_ATTN_NORM = auto() V_ENC_FFN_UP = auto() V_ENC_FFN_GATE = auto() @@ -767,6 +777,14 @@ class MODEL_TENSOR(IntEnum): V_DS_NORM = auto() # qwen3vl V_DS_FC1 = auto() # qwen3vl V_DS_FC2 = auto() # qwen3vl + V_MERGER_LN1 = auto() # minicpmv4_6 + V_MERGER_ATTN_Q = auto() # minicpmv4_6 + V_MERGER_ATTN_K = auto() # minicpmv4_6 + V_MERGER_ATTN_V = auto() # minicpmv4_6 + V_MERGER_ATTN_O = auto() # minicpmv4_6 + V_MERGER_DS_LN = auto() # minicpmv4_6 + V_MERGER_DS_UP = auto() # minicpmv4_6 + V_MERGER_DS_DOWN = auto() # minicpmv4_6 V_MM_POST_FC_NORM = auto() # cogvlm V_MM_UP = auto() # cogvlm V_MM_DOWN = auto() # cogvlm @@ -854,6 +872,26 @@ class MODEL_TENSOR(IntEnum): A_ENC_CONV_NORM = auto() # SSM conv A_ENC_CONV_PW1 = auto() A_ENC_CONV_PW2 = auto() + A_CTC_OUT = auto() + A_CTC_OUT_MID = auto() + A_ENC_ATTN_REL_POS_EMB = auto() + # qformer projector + A_QF_PROJ_QUERY = auto() + A_QF_PROJ_NORM = auto() + A_QF_PROJ_LINEAR = auto() + A_QF_SELF_ATTN_Q = auto() + A_QF_SELF_ATTN_K = auto() + A_QF_SELF_ATTN_V = auto() + A_QF_SELF_ATTN_O = auto() + A_QF_SELF_ATTN_NORM = auto() + A_QF_CROSS_ATTN_Q = auto() + A_QF_CROSS_ATTN_K = auto() + A_QF_CROSS_ATTN_V = auto() + A_QF_CROSS_ATTN_O = auto() + A_QF_CROSS_ATTN_NORM = auto() + A_QF_FFN_UP = auto() + A_QF_FFN_DOWN = auto() + A_QF_FFN_NORM = auto() MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = { @@ -1211,6 +1249,7 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = { MODEL_TENSOR.V_ENC_INPUT_NORM: "v.blk.{bid}.ln1", MODEL_TENSOR.V_ENC_ATTN_O: "v.blk.{bid}.attn_out", MODEL_TENSOR.V_ENC_ATTN_O_NORM: "v.blk.{bid}.attn_out_norm", + MODEL_TENSOR.V_ENC_ATTN_SINKS: "v.blk.{bid}.attn_sinks", MODEL_TENSOR.V_ENC_POST_ATTN_NORM: "v.blk.{bid}.ln2", MODEL_TENSOR.V_ENC_FFN_UP: "v.blk.{bid}.ffn_up", MODEL_TENSOR.V_ENC_FFN_GATE: "v.blk.{bid}.ffn_gate", @@ -1251,6 +1290,14 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = { MODEL_TENSOR.V_DS_NORM: "v.deepstack.{bid}.norm", MODEL_TENSOR.V_DS_FC1: "v.deepstack.{bid}.fc1", MODEL_TENSOR.V_DS_FC2: "v.deepstack.{bid}.fc2", + MODEL_TENSOR.V_MERGER_LN1: "v.vit_merger.ln1", + MODEL_TENSOR.V_MERGER_ATTN_Q: "v.vit_merger.attn_q", + MODEL_TENSOR.V_MERGER_ATTN_K: "v.vit_merger.attn_k", + MODEL_TENSOR.V_MERGER_ATTN_V: "v.vit_merger.attn_v", + MODEL_TENSOR.V_MERGER_ATTN_O: "v.vit_merger.attn_out", + MODEL_TENSOR.V_MERGER_DS_LN: "v.vit_merger.ds_ln", + MODEL_TENSOR.V_MERGER_DS_UP: "v.vit_merger.ds_ffn_up", + MODEL_TENSOR.V_MERGER_DS_DOWN: "v.vit_merger.ds_ffn_down", MODEL_TENSOR.V_MM_POST_FC_NORM: "mm.post_fc_norm", # cogvlm MODEL_TENSOR.V_MM_UP: "mm.up", MODEL_TENSOR.V_MM_DOWN: "mm.down", @@ -1333,6 +1380,26 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = { MODEL_TENSOR.A_ENC_CONV_NORM: "a.blk.{bid}.conv_norm", MODEL_TENSOR.A_ENC_CONV_PW1: "a.blk.{bid}.conv_pw1", MODEL_TENSOR.A_ENC_CONV_PW2: "a.blk.{bid}.conv_pw2", + MODEL_TENSOR.A_CTC_OUT: "a.enc_ctc_out", + MODEL_TENSOR.A_CTC_OUT_MID: "a.enc_ctc_out_mid", + MODEL_TENSOR.A_ENC_ATTN_REL_POS_EMB: "a.blk.{bid}.attn_rel_pos_emb", + # qformer projector + MODEL_TENSOR.A_QF_PROJ_QUERY: "a.proj_query", + MODEL_TENSOR.A_QF_PROJ_NORM: "a.proj_norm", + MODEL_TENSOR.A_QF_PROJ_LINEAR: "a.proj_linear", + MODEL_TENSOR.A_QF_SELF_ATTN_Q: "a.proj_blk.{bid}.self_attn_q", + MODEL_TENSOR.A_QF_SELF_ATTN_K: "a.proj_blk.{bid}.self_attn_k", + MODEL_TENSOR.A_QF_SELF_ATTN_V: "a.proj_blk.{bid}.self_attn_v", + MODEL_TENSOR.A_QF_SELF_ATTN_O: "a.proj_blk.{bid}.self_attn_out", + MODEL_TENSOR.A_QF_SELF_ATTN_NORM: "a.proj_blk.{bid}.self_attn_norm", + MODEL_TENSOR.A_QF_CROSS_ATTN_Q: "a.proj_blk.{bid}.cross_attn_q", + MODEL_TENSOR.A_QF_CROSS_ATTN_K: "a.proj_blk.{bid}.cross_attn_k", + MODEL_TENSOR.A_QF_CROSS_ATTN_V: "a.proj_blk.{bid}.cross_attn_v", + MODEL_TENSOR.A_QF_CROSS_ATTN_O: "a.proj_blk.{bid}.cross_attn_out", + MODEL_TENSOR.A_QF_CROSS_ATTN_NORM: "a.proj_blk.{bid}.cross_attn_norm", + MODEL_TENSOR.A_QF_FFN_UP: "a.proj_blk.{bid}.ffn_up", + MODEL_TENSOR.A_QF_FFN_DOWN: "a.proj_blk.{bid}.ffn_down", + MODEL_TENSOR.A_QF_FFN_NORM: "a.proj_blk.{bid}.ffn_norm", # NextN/MTP MODEL_TENSOR.NEXTN_EH_PROJ: "blk.{bid}.nextn.eh_proj", MODEL_TENSOR.NEXTN_EMBED_TOKENS: "blk.{bid}.nextn.embed_tokens", @@ -1363,6 +1430,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.V_ENC_ATTN_V, MODEL_TENSOR.V_ENC_ATTN_O, MODEL_TENSOR.V_ENC_ATTN_O_NORM, + MODEL_TENSOR.V_ENC_ATTN_SINKS, MODEL_TENSOR.V_ENC_POST_ATTN_NORM, MODEL_TENSOR.V_ENC_FFN_UP, MODEL_TENSOR.V_ENC_FFN_GATE, @@ -1403,6 +1471,14 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.V_DS_NORM, MODEL_TENSOR.V_DS_FC1, MODEL_TENSOR.V_DS_FC2, + MODEL_TENSOR.V_MERGER_LN1, + MODEL_TENSOR.V_MERGER_ATTN_Q, + MODEL_TENSOR.V_MERGER_ATTN_K, + MODEL_TENSOR.V_MERGER_ATTN_V, + MODEL_TENSOR.V_MERGER_ATTN_O, + MODEL_TENSOR.V_MERGER_DS_LN, + MODEL_TENSOR.V_MERGER_DS_UP, + MODEL_TENSOR.V_MERGER_DS_DOWN, MODEL_TENSOR.V_MM_POST_FC_NORM, MODEL_TENSOR.V_MM_UP, MODEL_TENSOR.V_MM_DOWN, @@ -1480,6 +1556,26 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.A_MM_HARD_EMB_NORM, MODEL_TENSOR.A_PER_DIM_K_SCALE, MODEL_TENSOR.A_PER_DIM_SCALE, + MODEL_TENSOR.A_CTC_OUT, + MODEL_TENSOR.A_CTC_OUT_MID, + MODEL_TENSOR.A_ENC_ATTN_REL_POS_EMB, + # qformer projector + MODEL_TENSOR.A_QF_PROJ_QUERY, + MODEL_TENSOR.A_QF_PROJ_NORM, + MODEL_TENSOR.A_QF_PROJ_LINEAR, + MODEL_TENSOR.A_QF_SELF_ATTN_Q, + MODEL_TENSOR.A_QF_SELF_ATTN_K, + MODEL_TENSOR.A_QF_SELF_ATTN_V, + MODEL_TENSOR.A_QF_SELF_ATTN_O, + MODEL_TENSOR.A_QF_SELF_ATTN_NORM, + MODEL_TENSOR.A_QF_CROSS_ATTN_Q, + MODEL_TENSOR.A_QF_CROSS_ATTN_K, + MODEL_TENSOR.A_QF_CROSS_ATTN_V, + MODEL_TENSOR.A_QF_CROSS_ATTN_O, + MODEL_TENSOR.A_QF_CROSS_ATTN_NORM, + MODEL_TENSOR.A_QF_FFN_UP, + MODEL_TENSOR.A_QF_FFN_DOWN, + MODEL_TENSOR.A_QF_FFN_NORM, ], MODEL_ARCH.LLAMA: [ MODEL_TENSOR.TOKEN_EMBD, @@ -2352,6 +2448,8 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.FFN_DOWN, MODEL_TENSOR.FFN_UP, MODEL_TENSOR.FFN_GATE_UP_EXP, + MODEL_TENSOR.FFN_GATE_EXP, + MODEL_TENSOR.FFN_UP_EXP, MODEL_TENSOR.FFN_DOWN_EXP, MODEL_TENSOR.ATTN_NORM, MODEL_TENSOR.ATTN_POST_NORM, @@ -3778,6 +3876,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.OUTPUT_NORM, MODEL_TENSOR.OUTPUT, MODEL_TENSOR.ATTN_NORM, + MODEL_TENSOR.ATTN_QKV, MODEL_TENSOR.ATTN_Q, MODEL_TENSOR.ATTN_K, MODEL_TENSOR.ATTN_V, @@ -3792,6 +3891,10 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.FFN_DOWN_EXP, MODEL_TENSOR.FFN_UP_EXP, MODEL_TENSOR.FFN_EXP_PROBS_B, + MODEL_TENSOR.LAYER_OUT_NORM, + MODEL_TENSOR.NEXTN_EH_PROJ, + MODEL_TENSOR.NEXTN_ENORM, + MODEL_TENSOR.NEXTN_HNORM, ], MODEL_ARCH.STEP35: [ MODEL_TENSOR.TOKEN_EMBD, @@ -4158,6 +4261,9 @@ class VisionProjectorType: NEMOTRON_V2_VL = "nemotron_v2_vl" HUNYUANOCR = "hunyuanocr" HUNYUANVL = "hunyuanvl" + MINICPMV4_6 = "minicpmv4_6" + GRANITE_SPEECH = "granite_speech" # audio + MIMOVL = "mimovl" # Items here are (block size, type size) diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py index 6a81ca37d8..a101382719 100644 --- a/gguf-py/gguf/gguf_writer.py +++ b/gguf-py/gguf/gguf_writer.py @@ -943,6 +943,9 @@ class GGUFWriter: def add_attn_output_scale(self, value: float) -> None: self.add_float32(Keys.Attention.OUTPUT_SCALE.format(arch=self.arch), value) + def add_attn_value_scale(self, value: float) -> None: + self.add_float32(Keys.Attention.VALUE_SCALE.format(arch=self.arch), value) + def add_attn_temperature_length(self, value: int) -> None: self.add_uint32(Keys.Attention.TEMPERATURE_LENGTH.format(arch=self.arch), value) @@ -1148,6 +1151,9 @@ class GGUFWriter: def add_vision_head_count(self, value: int) -> None: self.add_uint32(Keys.ClipVision.Attention.HEAD_COUNT, value) + def add_vision_head_count_kv(self, value: int) -> None: + self.add_uint32(Keys.ClipVision.Attention.HEAD_COUNT_KV, value) + def add_vision_attention_layernorm_eps(self, value: float) -> None: self.add_float32(Keys.ClipVision.Attention.LAYERNORM_EPS, value) @@ -1219,6 +1225,9 @@ class GGUFWriter: def add_vision_is_deepstack_layers(self, layers: Sequence[bool]) -> None: self.add_array(Keys.ClipVision.IS_DEEPSTACK_LAYERS, layers) + def add_vision_wa_pattern_mode(self, modes: Sequence[int]) -> None: + self.add_array(Keys.ClipVision.WA_PATTERN_MODE, modes) + def add_vision_window_size(self, value: int) -> None: self.add_uint32(Keys.ClipVision.WINDOW_SIZE, value) @@ -1260,6 +1269,24 @@ class GGUFWriter: def add_audio_stack_factor(self, value: int) -> None: self.add_uint32(Keys.ClipAudio.Projector.STACK_FACTOR, value) + def add_audio_chunk_size(self, value: int) -> None: + self.add_uint32(Keys.ClipAudio.CHUNK_SIZE, value) + + def add_audio_conv_kernel_size(self, value: int) -> None: + self.add_uint32(Keys.ClipAudio.CONV_KERNEL_SIZE, value) + + def add_audio_max_pos_emb(self, value: int) -> None: + self.add_uint32(Keys.ClipAudio.MAX_POS_EMB, value) + + def add_audio_projector_window_size(self, value: int) -> None: + self.add_uint32(Keys.ClipAudio.Projector.WINDOW_SIZE, value) + + def add_audio_projector_downsample_rate(self, value: int) -> None: + self.add_uint32(Keys.ClipAudio.Projector.DOWNSAMPLE_RATE, value) + + def add_audio_projector_head_count(self, value: int) -> None: + self.add_uint32(Keys.ClipAudio.Projector.HEAD_COUNT, value) + def add_xielu_alpha_p(self, values: Sequence[float]): self.add_array(Keys.xIELU.ALPHA_P, values) diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py index 01a9b23600..f40cb82820 100644 --- a/gguf-py/gguf/tensor_mapping.py +++ b/gguf-py/gguf/tensor_mapping.py @@ -18,7 +18,6 @@ class TensorNameMap: "tok_embeddings", # llama-pth "embeddings.word_embeddings", # bert nomic-bert "embeddings.tok_embeddings", # modern-bert - "language_model.embedding.word_embeddings", # persimmon "wte", # gpt2 "transformer.embd.wte", # phi2 "model.tok_embeddings", # internlm2 @@ -32,7 +31,6 @@ class TensorNameMap: "rwkv.embeddings", # rwkv6 "model.embeddings", # rwkv7 "model.word_embeddings", # bailingmoe - "language_model.model.embed_tokens", # llama4 "encoder", # neobert "model.transformer.wte", # llada "embed_tokens", # qwen3-embedding @@ -94,7 +92,6 @@ class TensorNameMap: "norm", # llama-pth "transformer.norm_f", # mpt dbrx "ln_f", # refact bloom qwen gpt2 - "language_model.encoder.final_layernorm", # persimmon "model.final_layernorm", # persimmon "lm_head.ln", # phi2 "model.norm_f", # mamba-qbert @@ -158,6 +155,21 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_MSFA_NORM: ( "model.vision_tower.timm_model.msfa.norm", # gemma3n ), + MODEL_TENSOR.A_CTC_OUT: ( + "encoder.out", + ), + MODEL_TENSOR.A_CTC_OUT_MID: ( + "encoder.out_mid", + ), + MODEL_TENSOR.A_QF_PROJ_QUERY: ( + "projector.query", + ), + MODEL_TENSOR.A_QF_PROJ_NORM: ( + "projector.qformer.layernorm", + ), + MODEL_TENSOR.A_QF_PROJ_LINEAR: ( + "projector.linear", + ), } block_mappings_cfg: dict[MODEL_TENSOR, tuple[str, ...]] = { @@ -171,7 +183,6 @@ class TensorNameMap: "transformer.h.{bid}.ln_mlp", # falcon40b "model.layers.{bid}.input_layernorm", # llama-hf nemotron olmoe phimoe granite-hybrid "layers.{bid}.attention_norm", # llama-pth - "language_model.encoder.layers.{bid}.input_layernorm", # persimmon "model.layers.{bid}.ln1", # yi "h.{bid}.ln_1", # gpt2 "transformer.h.{bid}.ln", # phi2 @@ -215,7 +226,6 @@ class TensorNameMap: "transformer.blocks.{bid}.norm_attn_norm.attn.Wqkv", # dbrx "transformer.h.{bid}.self_attention.query_key_value", # falcon "h.{bid}.self_attention.query_key_value", # bloom - "language_model.encoder.layers.{bid}.self_attention.query_key_value", # persimmon "model.layers.{bid}.self_attn.query_key_value", # persimmon "model.layers.{bid}.attention.query_key_value", # bailingmoe2 "h.{bid}.attn.c_attn", # gpt2 @@ -306,7 +316,6 @@ class TensorNameMap: "layers.{bid}.attn.Wo", # modern-bert "transformer.layer.{bid}.attention.out_lin", # distillbert "transformer.h.{bid}.attn.out_proj", # gpt-j - "language_model.encoder.layers.{bid}.self_attention.dense", # persimmon "model.layers.{bid}.self_attn.dense", # persimmon "model.layers.{bid}.attention.dense", # bailingmoe2 "h.{bid}.attn.c_proj", # gpt2 @@ -373,7 +382,6 @@ class TensorNameMap: "transformer.blocks.{bid}.norm_2", # mpt "model.layers.{bid}.post_attention_layernorm", # llama-hf nemotron olmoe phimoe "layers.{bid}.ffn_norm", # llama-pth - "language_model.encoder.layers.{bid}.post_attention_layernorm", # persimmon "model.layers.{bid}.ln2", # yi "h.{bid}.ln_2", # gpt2 "model.layers.{bid}.ffn_norm", # internlm2 @@ -475,7 +483,6 @@ class TensorNameMap: "transformer.layer.{bid}.ffn.lin1", # distillbert "transformer.h.{bid}.mlp.fc_in", # gpt-j "transformer.h.{bid}.mlp.linear_3", # refact - "language_model.encoder.layers.{bid}.mlp.dense_h_to_4h", # persimmon "model.layers.{bid}.mlp.dense_h_to_4h", # persimmon "transformer.h.{bid}.mlp.w1", # qwen "h.{bid}.mlp.c_fc", # gpt2 @@ -608,7 +615,6 @@ class TensorNameMap: "layers.{bid}.mlp.Wo", # modern-bert "transformer.layer.{bid}.ffn.lin2", # distillbert "transformer.h.{bid}.mlp.fc_out", # gpt-j - "language_model.encoder.layers.{bid}.mlp.dense_4h_to_h", # persimmon "model.layers.{bid}.mlp.dense_4h_to_h", # persimmon "h.{bid}.mlp.c_proj", # gpt2 "transformer.h.{bid}.mlp.fc2", # phi2 @@ -663,7 +669,7 @@ class TensorNameMap: ), MODEL_TENSOR.ATTN_Q_NORM: ( - "language_model.encoder.layers.{bid}.self_attention.q_layernorm", + "encoder.layers.{bid}.self_attention.q_layernorm", "model.layers.{bid}.self_attn.q_layernorm", # persimmon "model.layers.{bid}.self_attn.query_layernorm", # hunyuan "model.layers.{bid}.attention.query_layernorm", # bailingmoe2 @@ -679,7 +685,7 @@ class TensorNameMap: ), MODEL_TENSOR.ATTN_K_NORM: ( - "language_model.encoder.layers.{bid}.self_attention.k_layernorm", + "encoder.layers.{bid}.self_attention.k_layernorm", "model.layers.{bid}.self_attn.k_layernorm", # persimmon "model.layers.{bid}.self_attn.key_layernorm", # hunyuan "model.layers.{bid}.attention.key_layernorm", # bailingmoe2 @@ -695,7 +701,7 @@ class TensorNameMap: ), MODEL_TENSOR.ROPE_FREQS: ( - "language_model.encoder.layers.{bid}.self_attention.rotary_emb.inv_freq", # persimmon + "encoder.layers.{bid}.self_attention.rotary_emb.inv_freq", # persimmon ), MODEL_TENSOR.LAYER_OUT_NORM: ( @@ -1393,6 +1399,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_EMBD_PATCH: ( "vision_tower.vision_model.embeddings.patch_embedding", + "model.vision_tower.embeddings.patch_embedding", # minicpmv4_6 "model.vision_tower.embeddings.patch_embeddings.projection", # Intern-S1 "vpm.embeddings.patch_embedding", "model.vision_model.embeddings.patch_embedding", # SmolVLM @@ -1418,6 +1425,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_EMBD_POS: ( "vision_tower.vision_model.embeddings.position_embedding", + "model.vision_tower.embeddings.position_embedding", # minicpmv4_6 "model.vision_tower.embeddings.position_embeddings", # Intern-S1 "vpm.embeddings.position_embedding", "model.vision_model.embeddings.position_embedding", # SmolVLM @@ -1454,6 +1462,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_ATTN_Q: ( "vision_tower.vision_model.encoder.layers.{bid}.self_attn.q_proj", + "model.vision_tower.encoder.layers.{bid}.self_attn.q_proj", # minicpmv4_6 "model.vision_tower.encoder.layer.{bid}.attention.q_proj", # Intern-S1 "vpm.encoder.layers.{bid}.self_attn.q_proj", "model.vision_model.encoder.layers.{bid}.self_attn.q_proj", # SmolVLM @@ -1477,6 +1486,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_ATTN_K: ( "vision_tower.vision_model.encoder.layers.{bid}.self_attn.k_proj", + "model.vision_tower.encoder.layers.{bid}.self_attn.k_proj", # minicpmv4_6 "model.vision_tower.encoder.layer.{bid}.attention.k_proj", # Intern-S1 "vpm.encoder.layers.{bid}.self_attn.k_proj", "model.vision_model.encoder.layers.{bid}.self_attn.k_proj", # SmolVLM @@ -1500,6 +1510,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_ATTN_V: ( "vision_tower.vision_model.encoder.layers.{bid}.self_attn.v_proj", + "model.vision_tower.encoder.layers.{bid}.self_attn.v_proj", # minicpmv4_6 "model.vision_tower.encoder.layer.{bid}.attention.v_proj", # Intern-S1 "vpm.encoder.layers.{bid}.self_attn.v_proj", "model.vision_model.encoder.layers.{bid}.self_attn.v_proj", # SmolVLM @@ -1516,6 +1527,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_INPUT_NORM: ( "vision_tower.vision_model.encoder.layers.{bid}.layer_norm1", + "model.vision_tower.encoder.layers.{bid}.layer_norm1", # minicpmv4_6 "vision_tower.vision_model.encoder.layers.{bid}.norm1", # InternVL "model.vision_tower.encoder.layer.{bid}.layernorm_before", # Intern-S1 "vpm.encoder.layers.{bid}.layer_norm1", @@ -1536,6 +1548,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_ATTN_O: ( "vision_tower.vision_model.encoder.layers.{bid}.self_attn.out_proj", + "model.vision_tower.encoder.layers.{bid}.self_attn.out_proj", # minicpmv4_6 "vision_tower.vision_model.encoder.layers.{bid}.attn.proj", # InternVL "model.vision_tower.encoder.layer.{bid}.attention.projection_layer", # Intern-S1 "vpm.encoder.layers.{bid}.self_attn.out_proj", @@ -1556,8 +1569,13 @@ class TensorNameMap: "vision_model.transformer.resblocks.{bid}.attn.out_proj", # Step3-VL ), + MODEL_TENSOR.V_ENC_ATTN_SINKS: ( + "visual.blocks.{bid}.attn.sinks", # mimovl + ), + MODEL_TENSOR.V_ENC_POST_ATTN_NORM: ( "vision_tower.vision_model.encoder.layers.{bid}.layer_norm2", + "model.vision_tower.encoder.layers.{bid}.layer_norm2", # minicpmv4_6 "vision_tower.vision_model.encoder.layers.{bid}.norm2", # InternVL "model.vision_tower.encoder.layer.{bid}.layernorm_after", # Intern-S1 "vpm.encoder.layers.{bid}.layer_norm2", @@ -1579,6 +1597,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_FFN_UP: ( "vision_tower.vision_model.encoder.layers.{bid}.mlp.fc1", + "model.vision_tower.encoder.layers.{bid}.mlp.fc1", # minicpmv4_6 "model.vision_tower.encoder.layer.{bid}.mlp.fc1", # Intern-S1 "vpm.encoder.layers.{bid}.mlp.fc1", "model.vision_model.encoder.layers.{bid}.mlp.fc1", # SmolVLM, gemma3 @@ -1607,6 +1626,7 @@ class TensorNameMap: MODEL_TENSOR.V_ENC_FFN_DOWN: ( "vision_tower.vision_model.encoder.layers.{bid}.mlp.fc2", + "model.vision_tower.encoder.layers.{bid}.mlp.fc2", # minicpmv4_6 "model.vision_tower.encoder.layer.{bid}.mlp.fc2", # Intern-S1 "vpm.encoder.layers.{bid}.mlp.fc2", "model.vision_model.encoder.layers.{bid}.mlp.fc2", # SmolVLM, gemma3 @@ -1662,6 +1682,7 @@ class TensorNameMap: MODEL_TENSOR.V_POST_NORM: ( "vision_tower.vision_model.post_layernorm", + "model.vision_tower.post_layernorm", # minicpmv4_6 "model.vision_model.post_layernorm", # SmolVLM "vision_model.layernorm_post", # llama4 "visual.merger.ln_q", # qwen2vl @@ -1690,6 +1711,7 @@ class TensorNameMap: "mlp_AR.pre_norm", # PaddleOCR-VL "merger.ln_q", "vision_tower.merger.ln_q", # dots.ocr + "model.merger.mlp.0.pre_norm", # minicpmv4_6 ), MODEL_TENSOR.V_MM_SOFT_EMB_NORM: ( @@ -1763,6 +1785,38 @@ class TensorNameMap: "model.visual.deepstack_merger_list.{bid}.linear_fc2", # deepstack in qwen3vl ), + MODEL_TENSOR.V_MERGER_LN1: ( + "model.vision_tower.vit_merger.layer_norm1", # minicpmv4_6 + ), + + MODEL_TENSOR.V_MERGER_ATTN_Q: ( + "model.vision_tower.vit_merger.self_attn.q_proj", # minicpmv4_6 + ), + + MODEL_TENSOR.V_MERGER_ATTN_K: ( + "model.vision_tower.vit_merger.self_attn.k_proj", # minicpmv4_6 + ), + + MODEL_TENSOR.V_MERGER_ATTN_V: ( + "model.vision_tower.vit_merger.self_attn.v_proj", # minicpmv4_6 + ), + + MODEL_TENSOR.V_MERGER_ATTN_O: ( + "model.vision_tower.vit_merger.self_attn.out_proj", # minicpmv4_6 + ), + + MODEL_TENSOR.V_MERGER_DS_LN: ( + "model.vision_tower.vit_merger.pre_norm", # minicpmv4_6 + ), + + MODEL_TENSOR.V_MERGER_DS_UP: ( + "model.vision_tower.vit_merger.linear_1", # minicpmv4_6 + ), + + MODEL_TENSOR.V_MERGER_DS_DOWN: ( + "model.vision_tower.vit_merger.linear_2", # minicpmv4_6 + ), + MODEL_TENSOR.V_SAM_POS_EMBD: ( "model.sam_model.pos_embed", ), @@ -1822,11 +1876,13 @@ class TensorNameMap: MODEL_TENSOR.V_MM_UP: ( "model.vision.linear_proj.dense_h_to_4h", # cogvlm "visual.merger.up_proj", # glm4v + "model.merger.mlp.0.linear_1", # minicpmv4_6 ), MODEL_TENSOR.V_MM_DOWN: ( "model.vision.linear_proj.dense_4h_to_h", # cogvlm "visual.merger.down_proj", # glm4v + "model.merger.mlp.0.linear_2", # minicpmv4_6 ), MODEL_TENSOR.V_MM_GATE: ( @@ -1890,6 +1946,7 @@ class TensorNameMap: MODEL_TENSOR.A_ENC_INP_PROJ: ( "conformer.subsample_conv_projection.input_proj_linear", # gemma4 + "encoder.input_linear", ), MODEL_TENSOR.A_ENC_CONV2D: ( @@ -1912,6 +1969,7 @@ class TensorNameMap: "conformer.layers.{bid}.self_attn.linear_q", # lfm2 "conformer.layers.{bid}.attention.attn.q_proj", # gemma3n "conformer.layers.{bid}.self_attn.q_proj", # gemma4 + "encoder.layers.{bid}.attn.to_q", # granite_speech ), MODEL_TENSOR.A_ENC_ATTN_K: ( @@ -1919,6 +1977,7 @@ class TensorNameMap: "conformer.layers.{bid}.self_attn.linear_k", # lfm2 "conformer.layers.{bid}.attention.attn.k_proj", # gemma3n "conformer.layers.{bid}.self_attn.k_proj", # gemma4 + "encoder.layers.{bid}.attn.to_k", # granite_speech (split from to_kv) ), MODEL_TENSOR.A_ENC_ATTN_V: ( @@ -1926,6 +1985,7 @@ class TensorNameMap: "conformer.layers.{bid}.self_attn.linear_v", # lfm2 "conformer.layers.{bid}.attention.attn.v_proj", # gemma3n "conformer.layers.{bid}.self_attn.v_proj", # gemma4 + "encoder.layers.{bid}.attn.to_v", # granite_speech (split from to_kv) ), MODEL_TENSOR.A_ENC_ATTN_K_REL: ( @@ -1953,6 +2013,7 @@ class TensorNameMap: "audio_tower.layers.{bid}.self_attn_layer_norm", # ultravox "conformer.layers.{bid}.norm_self_att", # lfm2 "conformer.layers.{bid}.attention.pre_attn_norm", # gemma3n + "encoder.layers.{bid}.attn.pre_norm", # granite_speech ), MODEL_TENSOR.A_ENC_OUTPUT: ( @@ -1960,18 +2021,21 @@ class TensorNameMap: "conformer.layers.{bid}.self_attn.linear_out", # lfm2 "conformer.layers.{bid}.attention.post", # gemma3n "conformer.layers.{bid}.self_attn.post", # gemma4 + "encoder.layers.{bid}.attn.to_out", # granite_speech ), MODEL_TENSOR.A_ENC_OUTPUT_NORM: ( "audio_tower.layers.{bid}.final_layer_norm", # ultravox "conformer.layers.{bid}.norm_out", # lfm2 "conformer.layers.{bid}.attention.post_norm", # gemma3n + "encoder.layers.{bid}.post_norm", # granite_speech ), MODEL_TENSOR.A_ENC_FFN_NORM: ( "conformer.layers.{bid}.norm_feed_forward1", # lfm2 "conformer.layers.{bid}.ffw_layer_start.pre_layer_norm", # gemma3n "conformer.layers.{bid}.feed_forward1.pre_layer_norm", # gemma4 + "encoder.layers.{bid}.ff1.pre_norm", # granite_speech ), MODEL_TENSOR.A_ENC_FFN_POST_NORM: ( @@ -1988,6 +2052,7 @@ class TensorNameMap: "conformer.layers.{bid}.feed_forward1.linear1", # lfm2 "conformer.layers.{bid}.ffw_layer_start.ffw_layer_1", # gemma3n "conformer.layers.{bid}.feed_forward1.ffw_layer_1", # gemma4 + "encoder.layers.{bid}.ff1.up_proj", # granite_speech ), MODEL_TENSOR.A_ENC_FFN_GATE: (), @@ -1997,24 +2062,28 @@ class TensorNameMap: "conformer.layers.{bid}.feed_forward1.linear2", # lfm2 "conformer.layers.{bid}.ffw_layer_start.ffw_layer_2", # gemma3n "conformer.layers.{bid}.feed_forward1.ffw_layer_2", # gemma4 + "encoder.layers.{bid}.ff1.down_proj", # granite_speech ), MODEL_TENSOR.A_ENC_FFN_UP_1: ( "conformer.layers.{bid}.feed_forward2.linear1", # lfm2 "conformer.layers.{bid}.ffw_layer_end.ffw_layer_1", # gemma3n "conformer.layers.{bid}.feed_forward2.ffw_layer_1", # gemma4 + "encoder.layers.{bid}.ff2.up_proj", # granite_speech ), MODEL_TENSOR.A_ENC_FFN_DOWN_1: ( "conformer.layers.{bid}.feed_forward2.linear2", # lfm2 "conformer.layers.{bid}.ffw_layer_end.ffw_layer_2", # gemma3n "conformer.layers.{bid}.feed_forward2.ffw_layer_2", # gemma4 + "encoder.layers.{bid}.ff2.down_proj", # granite_speech ), MODEL_TENSOR.A_ENC_FFN_NORM_1: ( "conformer.layers.{bid}.norm_feed_forward2", # lfm2 "conformer.layers.{bid}.ffw_layer_end.pre_layer_norm", # gemma3n "conformer.layers.{bid}.feed_forward2.pre_layer_norm", # gemma4 + "encoder.layers.{bid}.ff2.pre_norm", # granite_speech ), MODEL_TENSOR.A_ENC_FFN_POST_NORM_1: ( @@ -2071,26 +2140,31 @@ class TensorNameMap: MODEL_TENSOR.A_ENC_CONV_DW: ( "conformer.layers.{bid}.conv.depthwise_conv", # lfm2 "conformer.layers.{bid}.lconv1d.depthwise_conv1d", # gemma3n + "encoder.layers.{bid}.conv.depth_conv.conv", # granite_speech ), MODEL_TENSOR.A_ENC_CONV_NORM: ( "conformer.layers.{bid}.conv.batch_norm", # lfm2 "conformer.layers.{bid}.lconv1d.pre_layer_norm", # gemma3n + "encoder.layers.{bid}.conv.batch_norm", # granite_speech ), MODEL_TENSOR.A_ENC_CONV_PW1: ( "conformer.layers.{bid}.conv.pointwise_conv1", # lfm2 "conformer.layers.{bid}.lconv1d.linear_start", # gemma3n + "encoder.layers.{bid}.conv.up_conv", # granite_speech ), MODEL_TENSOR.A_ENC_CONV_PW2: ( "conformer.layers.{bid}.conv.pointwise_conv2", # lfm2 "conformer.layers.{bid}.lconv1d.linear_end", # gemma3n + "encoder.layers.{bid}.conv.down_conv", # granite_speech ), MODEL_TENSOR.A_ENC_NORM_CONV: ( "conformer.layers.{bid}.norm_conv", # lfm2 "conformer.layers.{bid}.lconv1d.conv_norm", # gemma3n + "encoder.layers.{bid}.conv.norm", # granite_speech ), MODEL_TENSOR.A_PER_DIM_K_SCALE: ( @@ -2114,6 +2188,62 @@ class TensorNameMap: "model.embed_audio.soft_embedding_norm", # gemma3n ), + MODEL_TENSOR.A_ENC_ATTN_REL_POS_EMB: ( + "encoder.layers.{bid}.attn.rel_pos_emb.weight", + ), + + MODEL_TENSOR.A_QF_SELF_ATTN_Q: ( + "projector.qformer.encoder.layer.{bid}.attention.attention.query", + ), + + MODEL_TENSOR.A_QF_SELF_ATTN_K: ( + "projector.qformer.encoder.layer.{bid}.attention.attention.key", + ), + + MODEL_TENSOR.A_QF_SELF_ATTN_V: ( + "projector.qformer.encoder.layer.{bid}.attention.attention.value", + ), + + MODEL_TENSOR.A_QF_SELF_ATTN_O: ( + "projector.qformer.encoder.layer.{bid}.attention.output.dense", + ), + + MODEL_TENSOR.A_QF_SELF_ATTN_NORM: ( + "projector.qformer.encoder.layer.{bid}.attention.output.LayerNorm", + ), + + MODEL_TENSOR.A_QF_CROSS_ATTN_Q: ( + "projector.qformer.encoder.layer.{bid}.crossattention.attention.query", + ), + + MODEL_TENSOR.A_QF_CROSS_ATTN_K: ( + "projector.qformer.encoder.layer.{bid}.crossattention.attention.key", + ), + + MODEL_TENSOR.A_QF_CROSS_ATTN_V: ( + "projector.qformer.encoder.layer.{bid}.crossattention.attention.value", + ), + + MODEL_TENSOR.A_QF_CROSS_ATTN_O: ( + "projector.qformer.encoder.layer.{bid}.crossattention.output.dense", + ), + + MODEL_TENSOR.A_QF_CROSS_ATTN_NORM: ( + "projector.qformer.encoder.layer.{bid}.crossattention.output.LayerNorm", + ), + + MODEL_TENSOR.A_QF_FFN_UP: ( + "projector.qformer.encoder.layer.{bid}.intermediate_query.dense", + ), + + MODEL_TENSOR.A_QF_FFN_DOWN: ( + "projector.qformer.encoder.layer.{bid}.output_query.dense", + ), + + MODEL_TENSOR.A_QF_FFN_NORM: ( + "projector.qformer.encoder.layer.{bid}.output_query.LayerNorm", + ), + # NextN/MTP tensors MODEL_TENSOR.NEXTN_EH_PROJ: ( "model.layers.{bid}.eh_proj", diff --git a/gguf-py/pyproject.toml b/gguf-py/pyproject.toml index 5fb2755f1a..b2a36460ad 100644 --- a/gguf-py/pyproject.toml +++ b/gguf-py/pyproject.toml @@ -1,44 +1,45 @@ -[tool.poetry] +[project] name = "gguf" -version = "0.18.0" +version = "0.19.0" description = "Read and write ML models in GGUF for GGML" -authors = ["GGML "] -packages = [ - {include = "gguf"}, - {include = "gguf/py.typed"}, -] -readme = "README.md" -homepage = "https://ggml.ai" -repository = "https://github.com/ggml-org/llama.cpp" keywords = ["ggml", "gguf", "llama.cpp"] +dynamic = ["classifiers"] +readme = "README.md" +authors = [{name = "GGML", email = "ggml@ggml.ai"}] +requires-python = '>=3.10' +dependencies = ['numpy (>=1.17)', 'tqdm (>=4.27)', 'pyyaml (>=5.1)', 'requests (>=2.25)'] classifiers = [ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ] -[tool.poetry.dependencies] -python = ">=3.8" -numpy = ">=1.17" -tqdm = ">=4.27" -pyyaml = ">=5.1" -requests = ">=2.25" -sentencepiece = { version = ">=0.1.98,<0.3.0", optional = true } -PySide6 = { version = "^6.9", python = ">=3.9,<3.14", optional = true } +[project.urls] +homepage = "https://ggml.ai" +repository = "https://github.com/ggml-org/llama.cpp" -[tool.poetry.dev-dependencies] -pytest = "^5.2" - -[tool.poetry.extras] -gui = ["PySide6"] - -[build-system] -requires = ["poetry-core>=1.0.0"] -build-backend = "poetry.core.masonry.api" - -[tool.poetry.scripts] +[project.scripts] gguf-convert-endian = "gguf.scripts.gguf_convert_endian:main" gguf-dump = "gguf.scripts.gguf_dump:main" gguf-set-metadata = "gguf.scripts.gguf_set_metadata:main" gguf-new-metadata = "gguf.scripts.gguf_new_metadata:main" gguf-editor-gui = "gguf.scripts.gguf_editor_gui:main" + +[project.optional-dependencies] +gui = ['PySide6 (>=6.9,<7.0) ; python_version >= "3.9" and python_version < "3.14"'] + +[tool.poetry] +packages = [ + {include = "gguf"}, + {include = "gguf/py.typed"}, +] + +[tool.poetry.dependencies] +python = ">=3.10" + +[tool.poetry.dev-dependencies] +pytest = "^5.2" + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/include/llama.h b/include/llama.h index eb86981409..308e8ba9db 100644 --- a/include/llama.h +++ b/include/llama.h @@ -858,12 +858,17 @@ extern "C" { size_t n_token_capacity, size_t * n_token_count_out); +#define LLAMA_STATE_SEQ_FLAGS_NONE 0 + // for backwards-compat #define LLAMA_STATE_SEQ_FLAGS_SWA_ONLY 1 // work only with partial states, such as SWA KV cache or recurrent cache (e.g. Mamba) #define LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY 1 +// keeps the tensor data on device buffers (i.e. not accessible in host memory, but faster save/load) +#define LLAMA_STATE_SEQ_FLAGS_ON_DEVICE 2 + typedef uint32_t llama_state_seq_flags; LLAMA_API size_t llama_state_seq_get_size_ext( diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index eb6baa6c74..0000000000 --- a/poetry.lock +++ /dev/null @@ -1,1197 +0,0 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. - -[[package]] -name = "atomicwrites" -version = "1.4.1" -description = "Atomic file writes." -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -files = [ - {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"}, -] - -[[package]] -name = "attrs" -version = "23.2.0" -description = "Classes Without Boilerplate" -optional = false -python-versions = ">=3.7" -files = [ - {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"}, - {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"}, -] - -[package.extras] -cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] -dev = ["attrs[tests]", "pre-commit"] -docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] -tests = ["attrs[tests-no-zope]", "zope-interface"] -tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] -tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] - -[[package]] -name = "certifi" -version = "2024.2.2" -description = "Python package for providing Mozilla's CA Bundle." -optional = false -python-versions = ">=3.6" -files = [ - {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, - {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, -] - -[[package]] -name = "charset-normalizer" -version = "3.3.2" -description = "The Real First Universal Charset Detector. 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"sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, - {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, -] - -[metadata] -lock-version = "2.0" -python-versions = ">=3.9" -content-hash = "c8c4cc87637266a7b85debcbafa8887c5ad81cc8ef40e98a3f52c7c50af05c03" diff --git a/pyproject.toml b/pyproject.toml index 35cd067083..a39c4f010b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,32 +1,49 @@ -[tool.poetry] +[project] name = "llama-cpp-scripts" -version = "0.0.0" description = "Scripts that ship with llama.cpp" -authors = ["GGML "] -readme = "README.md" -homepage = "https://ggml.ai" -repository = "https://github.com/ggml-org/llama.cpp" keywords = ["ggml", "gguf", "llama.cpp"] -packages = [{ include = "*.py", from = "." }] +version = "0.0.0" +dynamic = ["classifiers"] +readme = "README.md" +authors = [{name = "GGML", email = "ggml@ggml.ai"}] +requires-python = '>=3.10' +dependencies = [ + 'numpy (>=1.25.0,<2.0.0)', + 'sentencepiece (>=0.1.98,<0.3.0)', + 'transformers (==5.5.1)', + 'protobuf (>=4.21.0)', + 'torch (>=2.2.0,<3.0.0)', + 'gguf @ ./gguf-py', +] classifiers = [ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ] +[project.urls] +homepage = "https://ggml.ai" +repository = "https://github.com/ggml-org/llama.cpp" + +[project.scripts] +llama-convert-hf-to-gguf = "convert_hf_to_gguf:main" +llama-convert-lora-to-gguf = "convert_lora_to_gguf:main" +llama-convert-llama-ggml-to-gguf = "convert_llama_ggml_to_gguf:main" +llama-ggml-vk-generate-shaders = "ggml_vk_generate_shaders:main" + +[tool.poetry] +packages = [{ include = "*.py", from = "." }] + [tool.poetry.dependencies] -python = ">=3.9" -numpy = "^1.25.0" -sentencepiece = ">=0.1.98,<0.3.0" -transformers = "==5.5.1" -protobuf = ">=4.21.0,<5.0.0" -gguf = { path = "./gguf-py" } -torch = { version = "^2.2.0", source = "pytorch" } +torch = [ + { version = "~=2.6.0", source = "pypi", markers = "sys_platform == 'darwin'" }, + { version = "~=2.6.0+cpu", source = "pytorch", markers = "sys_platform == 'linux'" }, + { version = "~=2.6.0", source = "pypi", markers = "sys_platform == 'win32'" } +] -[tool.poetry.dev-dependencies] +[tool.poetry.group.dev.dependencies] pytest = "^5.2" - # Force wheel + cpu # For discussion and context see https://github.com/python-poetry/poetry#6409 [[tool.poetry.source]] @@ -34,12 +51,14 @@ name = "pytorch" url = "https://download.pytorch.org/whl/cpu" priority = "explicit" +[tool.uv.sources] +torch = { index = "pytorch" } + +[[tool.uv.index]] +name = "pytorch" +url = "https://download.pytorch.org/whl/cpu" +explicit = true + [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" - -[tool.poetry.scripts] -llama-convert-hf-to-gguf = "convert_hf_to_gguf:main" -llama-convert-lora-to-gguf = "convert_lora_to_gguf:main" -llama-convert-llama-ggml-to-gguf = "convert_llama_ggml_to_gguf:main" -llama-ggml-vk-generate-shaders = "ggml_vk_generate_shaders:main" diff --git a/scripts/jinja/jinja-tester.py b/scripts/jinja/jinja-tester.py index 4f79b8da3d..a83f025411 100755 --- a/scripts/jinja/jinja-tester.py +++ b/scripts/jinja/jinja-tester.py @@ -20,6 +20,7 @@ from PySide6.QtCore import Qt, QRect, QSize from jinja2 import TemplateSyntaxError from jinja2.sandbox import ImmutableSandboxedEnvironment from datetime import datetime +from typing import Callable def format_template_content(template_content): @@ -395,7 +396,7 @@ class JinjaTester(QMainWindow): ensure_ascii=ensure_ascii, ) ) - env.globals["strftime_now"] = lambda format: datetime.now().strftime(format) # ty: ignore[invalid-assignment] + env.globals["strftime_now"]: Callable[[str], str] = lambda format: datetime.now().strftime(format) env.globals["raise_exception"] = raise_exception # ty: ignore[invalid-assignment] try: template = env.from_string(template_str) diff --git a/scripts/server-test-function-call.py b/scripts/server-test-function-call.py index b3aae1a961..c32f17b5e3 100755 --- a/scripts/server-test-function-call.py +++ b/scripts/server-test-function-call.py @@ -79,7 +79,7 @@ def print_info(msg): # --------------------------------------------------------------------------- -def chat_completion(url, messages, tools=None, stream=False): +def chat_completion(url, messages, tools=None, stream=False, force_tools=False): payload = { "messages": messages, "stream": stream, @@ -87,7 +87,10 @@ def chat_completion(url, messages, tools=None, stream=False): } if tools: payload["tools"] = tools - payload["tool_choice"] = "auto" + if force_tools: + payload["tool_choice"] = "required" + else: + payload["tool_choice"] = "auto" try: response = requests.post(url, json=payload, stream=stream) @@ -160,7 +163,13 @@ def chat_completion(url, messages, tools=None, stream=False): return result -def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turns=6): +def all_tools_called(tools, all_tool_calls): + all_tool_names = set([tc["function"]["name"] for tc in tools]) + all_called_tool_names = set([tc["function"]["name"] for tc in all_tool_calls]) + return all_tool_names == all_called_tool_names + + +def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turns=6, force_tools=False): """ Drive the multi-turn tool-call loop: 1. Send messages to model. @@ -172,8 +181,8 @@ def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turn msgs = list(messages) all_tool_calls: list[dict] = [] - for _ in range(max_turns): - result = chat_completion(url, msgs, tools=tools, stream=stream) + for t in range(max_turns): + result = chat_completion(url, msgs, tools=tools, stream=stream, force_tools=(force_tools and not all_tools_called(tools, all_tool_calls))) if result is None: return all_tool_calls, None @@ -235,10 +244,10 @@ def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turn # --------------------------------------------------------------------------- -def run_test(url, test_case, stream): +def run_test(url, test_case, stream, force_tools): name = test_case["name"] mode = f"{'stream' if stream else 'non-stream'}" - print_header(f"{name} [{mode}]") + print_header(f"{name} [{mode}, force_tools={force_tools}] ") all_tool_calls, final_content = run_agentic_loop( url, @@ -246,6 +255,7 @@ def run_test(url, test_case, stream): tools=test_case["tools"], mock_tool_responses=test_case["mock_tool_responses"], stream=stream, + force_tools=force_tools ) if final_content is None and not all_tool_calls: @@ -1093,6 +1103,9 @@ def main(): parser.add_argument( "--stream-only", action="store_true", help="Only run streaming mode tests" ) + parser.add_argument( + "--force-tools", action="store_true", help="Change tool mode to forced instead of auto" + ) parser.add_argument( "--test", help="Run only the test whose name contains this substring (case-insensitive)", @@ -1103,10 +1116,13 @@ def main(): print_info(f"Testing server at {url}") modes = [] + force_tools = False if not args.stream_only: modes.append(False) if not args.no_stream: modes.append(True) + if args.force_tools: + force_tools = True cases: list[dict] = ALL_TEST_CASES if args.test: @@ -1121,7 +1137,7 @@ def main(): for stream in modes: for case in cases: total += 1 - if run_test(url, case, stream=stream): + if run_test(url, case, stream=stream, force_tools=force_tools): passed += 1 color = GREEN if passed == total else RED diff --git a/scripts/snapdragon/adb/run-cli.sh b/scripts/snapdragon/adb/run-cli.sh index e1f0ac0eb8..3f89a7777c 100755 --- a/scripts/snapdragon/adb/run-cli.sh +++ b/scripts/snapdragon/adb/run-cli.sh @@ -54,13 +54,23 @@ opqueue= opflt= [ "$OF" != "" ] && opflt="GGML_HEXAGON_OPFILTER=$OF" +vmem= +[ "$VM" != "" ] && opflt="GGML_HEXAGON_VMEM=$VM" + +mbuf= +[ "$MB" != "" ] && opflt="GGML_HEXAGON_MBUF=$MB" +vmem= +[ "$VM" != "" ] && vmem="GGML_HEXAGON_VMEM=$VM" + +mbuf= +[ "$MB" != "" ] && mbuf="GGML_HEXAGON_MBUF=$MB" set -x adb $adbserial $adbhost shell " \ cd $basedir; ulimit -c unlimited; \ LD_LIBRARY_PATH=$basedir/$branch/lib \ ADSP_LIBRARY_PATH=$basedir/$branch/lib \ - $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt \ + $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt $vmem $mbuf \ ./$branch/bin/llama-cli --no-mmap -m $basedir/../gguf/$model \ --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 \ --ctx-size 8192 --ubatch-size 256 -fa on \ diff --git a/scripts/snapdragon/adb/run-completion.sh b/scripts/snapdragon/adb/run-completion.sh index 7b84106dc8..1b904c77b3 100755 --- a/scripts/snapdragon/adb/run-completion.sh +++ b/scripts/snapdragon/adb/run-completion.sh @@ -54,15 +54,21 @@ opqueue= opflt= [ "$OF" != "" ] && opflt="GGML_HEXAGON_OPFILTER=$OF" +vmem= +[ "$VM" != "" ] && vmem="GGML_HEXAGON_VMEM=$VM" + +mbuf= +[ "$MB" != "" ] && mbuf="GGML_HEXAGON_MBUF=$MB" + set -x adb $adbserial $adbhost shell " \ cd $basedir; ulimit -c unlimited; \ LD_LIBRARY_PATH=$basedir/$branch/lib \ ADSP_LIBRARY_PATH=$basedir/$branch/lib \ - $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt \ + $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt $vmem $mbuf \ ./$branch/bin/llama-completion --no-mmap -m $basedir/../gguf/$model \ --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 \ --ctx-size 8192 --ubatch-size 256 -fa on \ - -ngl 99 -no-cnv --device $device $cli_opts $@ \ + -ngl 99 --device $device $cli_opts $@ \ " diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last index de0140cfe2..15685a0718 100644 --- a/scripts/sync-ggml.last +++ b/scripts/sync-ggml.last @@ -1 +1 @@ -1c40d85a4dcfcd62176f649b8682433bb1a6caef +628249b398293fc8d2fa81a449ae2920a02c6523 diff --git a/scripts/sync_vendor.py b/scripts/sync_vendor.py index ff1dd07530..0ddef236a4 100755 --- a/scripts/sync_vendor.py +++ b/scripts/sync_vendor.py @@ -5,7 +5,7 @@ import os import sys import subprocess -HTTPLIB_VERSION = "refs/tags/v0.43.1" +HTTPLIB_VERSION = "refs/tags/v0.44.0" vendor = { "https://github.com/nlohmann/json/releases/latest/download/json.hpp": "vendor/nlohmann/json.hpp", diff --git a/scripts/wc2wt.sh b/scripts/wc2wt.sh new file mode 100755 index 0000000000..157881b458 --- /dev/null +++ b/scripts/wc2wt.sh @@ -0,0 +1,58 @@ +#!/usr/bin/env bash + +# initialize a new worktree from a branch name: +# +# - creates a new branch from current HEAD +# - creates a new worktree in a parent folder, suffixed with the branch name +# +# sample usage: +# ./scripts/wc2wt.sh gg/new-feature-foo-bar +# ./scripts/wc2wt.sh gg/new-feature-foo-bar opencode +# ./scripts/wc2wt.sh gg/new-feature-foo-bar "cmake -B build && cmake --build build" +# ./scripts/wc2wt.sh gg/new-feature-foo-bar "bash -l" + +function usage() { + echo "usage: $0 [cmd]" + exit 1 +} + +# check we are in the right directory +if [[ ! -f "scripts/wc2wt.sh" ]]; then + echo "error: this script must be run from the root of the repository" + exit 1 +fi + +if [[ $# -lt 1 || $# -gt 2 ]]; then + usage +fi + +BRANCH=$1 + +if [[ -z "$BRANCH" ]]; then + echo "error: branch name must not be empty" + exit 1 +fi + +dir=$(basename $(pwd)) +# sanitize branch name for directory name (replace / with -) +dir_suffix=$(echo "$BRANCH" | tr '/' '-') + +git worktree add -b "$BRANCH" "../$dir-$dir_suffix" HEAD + +og_path=$(pwd) +wt_path=$(cd "../$dir-$dir_suffix" && pwd) + +echo "git worktree created in $wt_path" + +cd "$wt_path" + +# pi agent setup in the worktree +if [[ -f "$og_path/.pi/SYSTEM.md" && ! -f ".pi/SYSTEM.md" ]]; then + mkdir -p .pi + ln -sfn "$og_path/.pi/SYSTEM.md" .pi/SYSTEM.md +fi + +if [[ $# -eq 2 ]]; then + echo "executing: $2" + eval "$2" +fi diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp index 633a66fc66..59dde99e36 100644 --- a/src/llama-arch.cpp +++ b/src/llama-arch.cpp @@ -232,6 +232,7 @@ static const std::map LLM_KV_NAMES = { { LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, "%s.attention.sliding_window_pattern" }, { LLM_KV_ATTENTION_SCALE, "%s.attention.scale" }, { LLM_KV_ATTENTION_OUTPUT_SCALE, "%s.attention.output_scale" }, + { LLM_KV_ATTENTION_VALUE_SCALE, "%s.attention.value_scale" }, { LLM_KV_ATTENTION_TEMPERATURE_LENGTH, "%s.attention.temperature_length" }, { LLM_KV_ATTENTION_TEMPERATURE_SCALE, "%s.attention.temperature_scale" }, { LLM_KV_ATTENTION_KEY_LENGTH_MLA, "%s.attention.key_length_mla" }, diff --git a/src/llama-arch.h b/src/llama-arch.h index 8f335f5c7b..e37d548c98 100644 --- a/src/llama-arch.h +++ b/src/llama-arch.h @@ -236,6 +236,7 @@ enum llm_kv { LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, LLM_KV_ATTENTION_SCALE, LLM_KV_ATTENTION_OUTPUT_SCALE, + LLM_KV_ATTENTION_VALUE_SCALE, LLM_KV_ATTENTION_TEMPERATURE_LENGTH, LLM_KV_ATTENTION_TEMPERATURE_SCALE, LLM_KV_ATTENTION_KEY_LENGTH_MLA, diff --git a/src/llama-context.cpp b/src/llama-context.cpp index 8126249e14..3d9714ab16 100644 --- a/src/llama-context.cpp +++ b/src/llama-context.cpp @@ -2230,13 +2230,17 @@ llm_graph_cb llama_context::graph_get_cb() const { class llama_io_write_dummy : public llama_io_write_i { public: - llama_io_write_dummy() = default; + llama_io_write_dummy(bool skip_tensors) : skip_tensors(skip_tensors) {} void write(const void * /* src */, size_t size) override { size_written += size; } - void write_tensor(const ggml_tensor * /* tensor */, size_t /* offset */, size_t size) override { + void write_tensor(ggml_tensor * /* tensor */, size_t /* offset */, size_t size) override { + if (skip_tensors) { + return; + } + size_written += size; } @@ -2245,14 +2249,23 @@ public: } private: + const bool skip_tensors; + size_t size_written = 0; }; -class llama_io_write_buffer : public llama_io_write_i { +class llama_io_write_host : public llama_io_write_i { public: - llama_io_write_buffer( + llama_io_write_host( uint8_t * p, size_t len) : ptr(p), buf_size(len) {} + ~llama_io_write_host() { + // TODO: add backend support to batch tensor_get? or some other way to speed this up + for (const auto & winfo : winfos) { + ggml_backend_tensor_get(winfo.tensor, winfo.ptr, winfo.offset, winfo.size); + } + } + void write(const void * src, size_t size) override { if (size > buf_size) { throw std::runtime_error("unexpectedly reached end of buffer"); @@ -2263,11 +2276,14 @@ public: buf_size -= size; } - void write_tensor(const ggml_tensor * tensor, size_t offset, size_t size) override { + void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) override { if (size > buf_size) { throw std::runtime_error("unexpectedly reached end of buffer"); } - ggml_backend_tensor_get(tensor, ptr, offset, size); + + // save the write for later during destruction + winfos.push_back({tensor, ptr, size, offset}); + ptr += size; size_written += size; buf_size -= size; @@ -2281,25 +2297,48 @@ private: uint8_t * ptr; size_t buf_size = 0; size_t size_written = 0; + + struct write_info { + ggml_tensor * tensor; + uint8_t * ptr; + size_t size; + size_t offset; + }; + std::vector winfos; }; -class llama_io_read_buffer : public llama_io_read_i { +class llama_io_read_host : public llama_io_read_i { public: - llama_io_read_buffer(const uint8_t * p, size_t len) : ptr(p), buf_size(len) {} + llama_io_read_host(const uint8_t * p, size_t len) : ptr(p), buf_size(len) {} - const uint8_t * read(size_t size) override { - const uint8_t * base_ptr = ptr; + ~llama_io_read_host() { + // flush the reads + for (const auto & rinfo : rinfos) { + ggml_backend_tensor_set(rinfo.tensor, rinfo.ptr, rinfo.offset, rinfo.size); + } + } + + void read(void * dst, size_t size) override { if (size > buf_size) { throw std::runtime_error("unexpectedly reached end of buffer"); } + memcpy(dst, ptr, size); ptr += size; size_read += size; buf_size -= size; - return base_ptr; } - void read_to(void * dst, size_t size) override { - memcpy(dst, read(size), size); + void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) override { + if (size > buf_size) { + throw std::runtime_error("unexpectedly reached end of buffer"); + } + + // save for later during destruction + rinfos.push_back({tensor, ptr, size, offset}); + + ptr += size; + size_read += size; + buf_size -= size; } size_t n_bytes() override { @@ -2310,6 +2349,14 @@ private: const uint8_t * ptr; size_t buf_size = 0; size_t size_read = 0; + + struct read_info { + ggml_tensor * tensor; + const uint8_t * ptr; + size_t size; + size_t offset; + }; + std::vector rinfos; }; class llama_io_write_file : public llama_io_write_i { @@ -2321,7 +2368,7 @@ public: size_written += size; } - void write_tensor(const ggml_tensor * tensor, size_t offset, size_t size) override { + void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) override { temp_buffer.resize(size); ggml_backend_tensor_get(tensor, temp_buffer.data(), offset, size); write(temp_buffer.data(), temp_buffer.size()); @@ -2341,15 +2388,15 @@ class llama_io_read_file : public llama_io_read_i { public: llama_io_read_file(llama_file * f) : file(f) {} - void read_to(void * dst, size_t size) override { + void read(void * dst, size_t size) override { file->read_raw(dst, size); size_read += size; } - const uint8_t * read(size_t size) override { + void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) override { temp_buffer.resize(size); - read_to(temp_buffer.data(), size); - return temp_buffer.data(); + read(temp_buffer.data(), size); + ggml_backend_tensor_set(tensor, temp_buffer.data(), offset, size); } size_t n_bytes() override { @@ -2362,8 +2409,229 @@ private: std::vector temp_buffer; }; +class llama_io_write_device : public llama_io_write_i { +public: + llama_io_write_device(uint8_t * p, size_t len, llama_memory_buffers & mbufs) : ptr(p), buf_size(len), mbufs(mbufs) { + } + + ~llama_io_write_device() { + llama_memory_buffers mbufs_new; + + for (const auto & winfo : winfos) { + auto * buft = ggml_backend_buffer_get_type(winfo.tensor->buffer); + + mbufs_new[buft].n_tensors++; + mbufs_new[buft].total_size += winfo.size; + } + + for (auto & [buft, mbuf] : mbufs_new) { + ggml_init_params params = { + /*.mem_size =*/ 2*mbuf.n_tensors*ggml_tensor_overhead(), + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + + mbuf.ctx.reset(ggml_init(params)); + + mbuf.org.reserve(mbuf.n_tensors); + mbuf.cpy.reserve(mbuf.n_tensors); + } + + for (const auto & winfo : winfos) { + auto * buft = ggml_backend_buffer_get_type(winfo.tensor->buffer); + + const int64_t n = winfo.size/ggml_element_size(winfo.tensor); + + auto & mbuf = mbufs_new[buft]; + + mbuf.org.push_back(ggml_view_1d (mbuf.ctx.get(), winfo.tensor, n, winfo.offset)); + mbuf.cpy.push_back(ggml_new_tensor_1d(mbuf.ctx.get(), winfo.tensor->type, n)); + } + + for (auto & [buft, mbuf] : mbufs_new) { + auto & mbuf_cur = mbufs[buft]; + + bool need_alloc = false; + + need_alloc = need_alloc || (!mbuf_cur.buf); + need_alloc = need_alloc || (mbuf_cur.org.size() != mbuf.org.size()); + need_alloc = need_alloc || (mbuf_cur.total_size != mbuf.total_size); + + if (!need_alloc) { + for (size_t i = 0; i < mbuf_cur.org.size(); ++i) { + auto * org0 = mbuf_cur.org[i]; + auto * org1 = mbuf.org[i]; + + if (!ggml_are_same_shape(org0, org1)) { + need_alloc = true; + break; + } + + if (org0->view_src != org1->view_src || org0->view_offs != org1->view_offs) { + need_alloc = true; + break; + } + } + } + + if (need_alloc) { + if (!mbuf_cur.buf || mbuf_cur.total_size != mbuf.total_size) { + mbuf_cur = std::move(mbuf); + + mbuf_cur.buf.reset(ggml_backend_alloc_ctx_tensors_from_buft(mbuf_cur.ctx.get(), buft)); + + LLAMA_LOG_INFO("%s: allocated '%s' buffer %.3f MiB\n", __func__, ggml_backend_buft_name(buft), mbuf.total_size/1024.0/1024.0); + } else { + //LLAMA_LOG_INFO("%s: reallocating tensors in '%s' buffer %.3f MiB\n", __func__, ggml_backend_buft_name(buft), mbuf.total_size/1024.0/1024.0); + + // save the old buffer and allocate the new tensors in it + auto buf = std::move(mbuf_cur.buf); + + mbuf_cur = std::move(mbuf); + + ggml_tallocr talloc = ggml_tallocr_new(buf.get()); + + for (size_t i = 0; i < mbuf_cur.org.size(); ++i) { + ggml_backend_view_init(mbuf_cur.org[i]); + ggml_tallocr_alloc(&talloc, mbuf_cur.cpy[i]); + } + + mbuf_cur.buf = std::move(buf); + } + } + + for (size_t i = 0; i < mbuf_cur.org.size(); ++i) { + ggml_backend_tensor_copy(mbuf_cur.org[i], mbuf_cur.cpy[i]); + } + } + } + + void write(const void * src, size_t size) override { + if (size > buf_size) { + throw std::runtime_error("unexpectedly reached end of buffer"); + } + memcpy(ptr, src, size); + ptr += size; + size_written += size; + buf_size -= size; + } + + void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) override { + // save the write for later during destruction + winfos.push_back({tensor, ptr, size, offset}); + } + + size_t n_bytes() override { + return size_written; + } + +private: + uint8_t * ptr; + size_t buf_size = 0; + size_t size_written = 0; + + struct write_info { + ggml_tensor * tensor; + uint8_t * ptr; + size_t size; + size_t offset; + }; + std::vector winfos; + + llama_memory_buffers & mbufs; +}; + +class llama_io_read_device : public llama_io_read_i { +public: + llama_io_read_device(const uint8_t * p, size_t len, const llama_memory_buffers & mbufs) : ptr(p), buf_size(len), mbufs(mbufs) { + } + + ~llama_io_read_device() { + llama_memory_buffers mbufs_new; + + for (const auto & rinfo : rinfos) { + auto * buft = ggml_backend_buffer_get_type(rinfo.tensor->buffer); + + mbufs_new[buft].n_tensors++; + mbufs_new[buft].total_size += rinfo.size; + } + + for (auto & [buft, mbuf] : mbufs_new) { + ggml_init_params params = { + /*.mem_size =*/ mbuf.n_tensors*ggml_tensor_overhead(), + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + + mbuf.ctx.reset(ggml_init(params)); + + mbuf.org.reserve(mbuf.n_tensors); + } + + for (const auto & rinfo : rinfos) { + auto * buft = ggml_backend_buffer_get_type(rinfo.tensor->buffer); + + const int64_t n = rinfo.size/ggml_element_size(rinfo.tensor); + + auto & mbuf = mbufs_new[buft]; + + mbuf.org.push_back(ggml_view_1d(mbuf.ctx.get(), rinfo.tensor, n, rinfo.offset)); + + ggml_backend_view_init(mbuf.org.back()); + } + + for (auto & [buft, mbuf] : mbufs_new) { + const auto & mbuf_cur = mbufs.at(buft); + + if (!mbuf_cur.buf || mbuf_cur.n_tensors != mbuf.n_tensors || mbuf_cur.total_size != mbuf.total_size) { + GGML_ABORT("%s: memory buffer mismatch\n", __func__); + } + + for (size_t i = 0; i < mbuf_cur.org.size(); ++i) { + ggml_backend_tensor_copy(mbuf_cur.cpy[i], mbuf.org[i]); + } + } + + GGML_ASSERT(buf_size == 0); + } + + void read(void * dst, size_t size) override { + if (size > buf_size) { + throw std::runtime_error("unexpectedly reached end of buffer"); + } + memcpy(dst, ptr, size); + ptr += size; + size_read += size; + buf_size -= size; + } + + void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) override { + // save for later during destruction + rinfos.push_back({tensor, ptr, size, offset}); + } + + size_t n_bytes() override { + return size_read; + } + +private: + const uint8_t * ptr; + size_t buf_size = 0; + size_t size_read = 0; + + struct read_info { + ggml_tensor * tensor; + const uint8_t * ptr; + size_t size; + size_t offset; + }; + std::vector rinfos; + + const llama_memory_buffers & mbufs; +}; + size_t llama_context::state_get_size() { - llama_io_write_dummy io; + llama_io_write_dummy io(false); try { return state_write_data(io); } catch (const std::exception & err) { @@ -2373,7 +2641,7 @@ size_t llama_context::state_get_size() { } size_t llama_context::state_get_data(uint8_t * dst, size_t size) { - llama_io_write_buffer io(dst, size); + llama_io_write_host io(dst, size); try { return state_write_data(io); } catch (const std::exception & err) { @@ -2383,7 +2651,7 @@ size_t llama_context::state_get_data(uint8_t * dst, size_t size) { } size_t llama_context::state_set_data(const uint8_t * src, size_t size) { - llama_io_read_buffer io(src, size); + llama_io_read_host io(src, size); try { return state_read_data(io); } catch (const std::exception & err) { @@ -2392,9 +2660,14 @@ size_t llama_context::state_set_data(const uint8_t * src, size_t size) { } } +static constexpr uint32_t io_magic = 0xaf143cd8; + size_t llama_context::state_seq_get_size(llama_seq_id seq_id, llama_state_seq_flags flags) { - llama_io_write_dummy io; + llama_io_write_dummy io(flags & LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); try { + io.write(&io_magic, sizeof(io_magic)); + io.write(&seq_id, sizeof(seq_id)); + return state_seq_write_data(io, seq_id, flags); } catch (const std::exception & err) { LLAMA_LOG_ERROR("%s: error getting state size: %s\n", __func__, err.what()); @@ -2403,9 +2676,18 @@ size_t llama_context::state_seq_get_size(llama_seq_id seq_id, llama_state_seq_fl } size_t llama_context::state_seq_get_data(llama_seq_id seq_id, uint8_t * dst, size_t size, llama_state_seq_flags flags) { - llama_io_write_buffer io(dst, size); + std::unique_ptr io; + if (flags & LLAMA_STATE_SEQ_FLAGS_ON_DEVICE) { + io = std::make_unique(dst, size, mem_storage[seq_id]); + } else { + io = std::make_unique(dst, size); + } + try { - return state_seq_write_data(io, seq_id, flags); + io->write(&io_magic, sizeof(io_magic)); + io->write(&seq_id, sizeof(seq_id)); + + return state_seq_write_data(*io, seq_id, flags); } catch (const std::exception & err) { LLAMA_LOG_ERROR("%s: error saving state: %s\n", __func__, err.what()); return 0; @@ -2413,9 +2695,38 @@ size_t llama_context::state_seq_get_data(llama_seq_id seq_id, uint8_t * dst, siz } size_t llama_context::state_seq_set_data(llama_seq_id seq_id, const uint8_t * src, size_t size, llama_state_seq_flags flags) { - llama_io_read_buffer io(src, size); + std::unique_ptr io; + if (flags & LLAMA_STATE_SEQ_FLAGS_ON_DEVICE) { + // create a temporary io to read the magic and the src seq_id + io = std::make_unique(src, size); + + uint32_t magic_read; + io->read(&magic_read, sizeof(magic_read)); + if (io_magic != magic_read) { + throw std::runtime_error("wrong sequence state magic"); + } + + llama_seq_id seq_id_read; + io->read(&seq_id_read, sizeof(seq_id_read)); + + GGML_ASSERT(mem_storage.find(seq_id_read) != mem_storage.end()); + + io = std::make_unique(src, size, mem_storage[seq_id_read]); + } else { + io = std::make_unique(src, size); + } + try { - return state_seq_read_data(io, seq_id, flags); + uint32_t magic_read; + io->read(&magic_read, sizeof(magic_read)); + if (io_magic != magic_read) { + throw std::runtime_error("wrong sequence state magic"); + } + + llama_seq_id seq_id_read; + io->read(&seq_id_read, sizeof(seq_id_read)); + + return state_seq_read_data(*io, seq_id, flags); } catch (const std::exception & err) { LLAMA_LOG_ERROR("%s: error loading state: %s\n", __func__, err.what()); return 0; @@ -3406,7 +3717,6 @@ size_t llama_state_seq_get_data_ext(llama_context * ctx, uint8_t * dst, size_t s return ctx->state_seq_get_data(seq_id, dst, size, flags); } - size_t llama_state_seq_set_data_ext(llama_context * ctx, const uint8_t * src, size_t size, llama_seq_id seq_id, llama_state_seq_flags flags) { ctx->synchronize(); diff --git a/src/llama-context.h b/src/llama-context.h index 53c705eaff..92d1b0cf95 100644 --- a/src/llama-context.h +++ b/src/llama-context.h @@ -23,6 +23,21 @@ class llama_io_write_i; struct llama_memory_i; struct llama_memory_context_i; +// stores copy of the memory in device buffer. used for fast state save/load +struct llama_memory_buffer { + int n_tensors = 0; + size_t total_size = 0; + + ggml_backend_buffer_ptr buf; + + ggml_context_ptr ctx; + + std::vector org; + std::vector cpy; +}; + +using llama_memory_buffers = std::map; + struct llama_context { // init scheduler and compute buffers, reserve worst-case graphs llama_context( @@ -128,6 +143,7 @@ struct llama_context { size_t state_set_data(const uint8_t * src, size_t size); size_t state_seq_get_size(llama_seq_id seq_id, llama_state_seq_flags flags); + size_t state_seq_get_data(llama_seq_id seq_id, uint8_t * dst, size_t size, llama_state_seq_flags flags); size_t state_seq_set_data(llama_seq_id seq_id, const uint8_t * src, size_t size, llama_state_seq_flags flags); @@ -328,6 +344,9 @@ private: // host buffer for the model output (logits and embeddings) ggml_backend_buffer_ptr buf_output; + // keep copies of the per-sequence memory on the device + std::map mem_storage; + bool has_evaluated_once = false; // env: LLAMA_GRAPH_REUSE_DISABLE diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp index 2ff23f87cf..fe155c92de 100644 --- a/src/llama-graph.cpp +++ b/src/llama-graph.cpp @@ -65,8 +65,13 @@ static ggml_tensor * ggml_mul_mat_aux( ggml_tensor * res; - res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n); + if (!ggml_is_contiguous(cur)) { + res = ggml_cont_2d (ctx, cur, n, ggml_nelements(cur)/n); + } else { + res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n); + } res = ggml_mul_mat (ctx, rot, res); + ggml_mul_mat_set_hint(res, GGML_HINT_SRC0_IS_HADAMARD); res = ggml_reshape_4d(ctx, res, cur->ne[0], cur->ne[1], cur->ne[2], cur->ne[3]); return res; diff --git a/src/llama-hparams.h b/src/llama-hparams.h index ac7f9ee865..0160a89caa 100644 --- a/src/llama-hparams.h +++ b/src/llama-hparams.h @@ -166,6 +166,8 @@ struct llama_hparams { float f_attn_out_scale = 0.0f; uint32_t attn_temp_length = 0; + float f_attn_value_scale = 0.0f; + bool causal_attn = true; bool use_alibi = false; bool attn_soft_cap = false; diff --git a/src/llama-io.cpp b/src/llama-io.cpp index 7ad70d1633..5ec4634943 100644 --- a/src/llama-io.cpp +++ b/src/llama-io.cpp @@ -1,5 +1,7 @@ #include "llama-io.h" +#include + void llama_io_write_i::write_string(const std::string & str) { uint32_t str_size = str.size(); @@ -9,7 +11,10 @@ void llama_io_write_i::write_string(const std::string & str) { void llama_io_read_i::read_string(std::string & str) { uint32_t str_size; - read_to(&str_size, sizeof(str_size)); + read(&str_size, sizeof(str_size)); - str.assign((const char *) read(str_size), str_size); + std::vector buf(str_size); + read(buf.data(), str_size); + + str.assign(buf.data(), str_size); } diff --git a/src/llama-io.h b/src/llama-io.h index ce9216b83b..f276af4fb9 100644 --- a/src/llama-io.h +++ b/src/llama-io.h @@ -12,7 +12,7 @@ public: virtual ~llama_io_write_i() = default; virtual void write(const void * src, size_t size) = 0; - virtual void write_tensor(const ggml_tensor * tensor, size_t offset, size_t size) = 0; + virtual void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) = 0; // bytes written so far virtual size_t n_bytes() = 0; @@ -25,8 +25,8 @@ public: llama_io_read_i() = default; virtual ~llama_io_read_i() = default; - virtual const uint8_t * read(size_t size) = 0; - virtual void read_to(void * dst, size_t size) = 0; + virtual void read(void * dst, size_t size) = 0; + virtual void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) = 0; // bytes read so far virtual size_t n_bytes() = 0; diff --git a/src/llama-kv-cache.cpp b/src/llama-kv-cache.cpp index 09102f549c..a49a055a63 100644 --- a/src/llama-kv-cache.cpp +++ b/src/llama-kv-cache.cpp @@ -67,6 +67,7 @@ static ggml_tensor * ggml_mul_mat_aux( res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n); res = ggml_mul_mat (ctx, rot, res); + ggml_mul_mat_set_hint(res, GGML_HINT_SRC0_IS_HADAMARD); res = ggml_reshape_4d(ctx, res, cur->ne[0], cur->ne[1], cur->ne[2], cur->ne[3]); return res; @@ -1900,14 +1901,14 @@ void llama_kv_cache::state_read(llama_io_read_i & io, llama_seq_id seq_id, llama GGML_ASSERT(seq_id == -1 || (seq_id >= 0 && (size_t) seq_id < seq_to_stream.size())); uint32_t n_stream_cur; - io.read_to(&n_stream_cur, sizeof(n_stream_cur)); + io.read(&n_stream_cur, sizeof(n_stream_cur)); if (n_stream_cur != n_stream) { throw std::runtime_error("n_stream mismatch"); } for (uint32_t s = 0; s < n_stream; ++s) { uint32_t cell_count; - io.read_to(&cell_count, sizeof(cell_count)); + io.read(&cell_count, sizeof(cell_count)); if (cell_count == 0) { continue; @@ -2082,8 +2083,8 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32 llama_pos pos; uint32_t n_seq_id; - io.read_to(&pos, sizeof(pos)); - io.read_to(&n_seq_id, sizeof(n_seq_id)); + io.read(&pos, sizeof(pos)); + io.read(&n_seq_id, sizeof(n_seq_id)); if (n_seq_id != 1) { LLAMA_LOG_ERROR("%s: invalid seq_id-agnostic kv cell\n", __func__); @@ -2092,7 +2093,7 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32 if (hparams.n_pos_per_embd() > 1) { llama_kv_cell_ext ext; - io.read_to(&ext, sizeof(ext)); + io.read(&ext, sizeof(ext)); ubatch.pos[i + ubatch.n_tokens] = ext.y; ubatch.pos[i + ubatch.n_tokens*2] = ext.x; @@ -2101,7 +2102,7 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32 // read the sequence id, but directly discard it - we will use dest_seq_id instead { llama_seq_id seq_id; - io.read_to(&seq_id, sizeof(seq_id)); + io.read(&seq_id, sizeof(seq_id)); } ubatch.pos[i] = pos; @@ -2143,20 +2144,20 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32 llama_pos pos; uint32_t n_seq_id; - io.read_to(&pos, sizeof(pos)); - io.read_to(&n_seq_id, sizeof(n_seq_id)); + io.read(&pos, sizeof(pos)); + io.read(&n_seq_id, sizeof(n_seq_id)); cells.pos_set(i, pos); if (hparams.n_pos_per_embd() > 1) { llama_kv_cell_ext ext; - io.read_to(&ext, sizeof(ext)); + io.read(&ext, sizeof(ext)); cells.ext_set(i, ext); } for (uint32_t j = 0; j < n_seq_id; ++j) { llama_seq_id seq_id; - io.read_to(&seq_id, sizeof(seq_id)); + io.read(&seq_id, sizeof(seq_id)); if (seq_id < 0 || (uint32_t) seq_id >= n_seq_max) { LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, %u)\n", __func__, seq_id, n_seq_max); @@ -2189,8 +2190,8 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 uint32_t v_trans; uint32_t n_layer; - io.read_to(&v_trans, sizeof(v_trans)); - io.read_to(&n_layer, sizeof(n_layer)); + io.read(&v_trans, sizeof(v_trans)); + io.read(&n_layer, sizeof(n_layer)); if (n_layer != layers.size()) { LLAMA_LOG_ERROR("%s: mismatched layer count (%u instead of %u)\n", __func__, n_layer, (uint32_t) layers.size()); @@ -2217,7 +2218,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 // Read type of key int32_t k_type_i_ref; - io.read_to(&k_type_i_ref, sizeof(k_type_i_ref)); + io.read(&k_type_i_ref, sizeof(k_type_i_ref)); const int32_t k_type_i = (int32_t) k->type; if (k_type_i != k_type_i_ref) { LLAMA_LOG_ERROR("%s: mismatched key type (%d != %d, layer %d)\n", __func__, k_type_i, k_type_i_ref, il); @@ -2226,7 +2227,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 // Read row size of key uint64_t k_size_row_ref; - io.read_to(&k_size_row_ref, sizeof(k_size_row_ref)); + io.read(&k_size_row_ref, sizeof(k_size_row_ref)); const size_t k_size_row = ggml_row_size(k->type, n_embd_k_gqa); if (k_size_row != k_size_row_ref) { LLAMA_LOG_ERROR("%s: mismatched key row size (%zu != %zu, layer %d)\n", __func__, k_size_row, (size_t) k_size_row_ref, il); @@ -2236,13 +2237,12 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 if (cell_count) { if (sinfo.is_contiguous()) { // Fast path: contiguous cells, single memcpy - ggml_backend_tensor_set(k, io.read(cell_count * k_size_row), sinfo.head() * k_size_row, cell_count * k_size_row); + io.read_tensor(k, sinfo.head() * k_size_row, cell_count * k_size_row); } else { // Slow path: scatter to non-contiguous positions - const void * src = io.read(cell_count * k_size_row); for (uint32_t i = 0; i < cell_count; ++i) { const size_t dst_offset = sinfo.idxs[0][i] * k_size_row; - ggml_backend_tensor_set(k, (const char*)src + i * k_size_row, dst_offset, k_size_row); + io.read_tensor(k, dst_offset, k_size_row); } } } @@ -2261,7 +2261,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 // Read type of value int32_t v_type_i_ref; - io.read_to(&v_type_i_ref, sizeof(v_type_i_ref)); + io.read(&v_type_i_ref, sizeof(v_type_i_ref)); const int32_t v_type_i = (int32_t) v->type; if (v_type_i != v_type_i_ref) { LLAMA_LOG_ERROR("%s: mismatched value type (%d != %d, layer %d)\n", __func__, v_type_i, v_type_i_ref, il); @@ -2270,7 +2270,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 // Read row size of value uint64_t v_size_row_ref; - io.read_to(&v_size_row_ref, sizeof(v_size_row_ref)); + io.read(&v_size_row_ref, sizeof(v_size_row_ref)); const size_t v_size_row = ggml_row_size(v->type, n_embd_v_gqa); if (v_size_row != v_size_row_ref) { LLAMA_LOG_ERROR("%s: mismatched value row size (%zu != %zu, layer %d)\n", __func__, v_size_row, (size_t) v_size_row_ref, il); @@ -2280,13 +2280,12 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 if (cell_count) { if (sinfo.is_contiguous()) { // Fast path: contiguous cells, single memcpy - ggml_backend_tensor_set(v, io.read(cell_count * v_size_row), sinfo.head() * v_size_row, cell_count * v_size_row); + io.read_tensor(v, sinfo.head() * v_size_row, cell_count * v_size_row); } else { // Slow path: scatter to non-contiguous positions - const void * src = io.read(cell_count * v_size_row); for (uint32_t i = 0; i < cell_count; ++i) { const size_t dst_offset = sinfo.idxs[0][i] * v_size_row; - ggml_backend_tensor_set(v, (const char*)src + i * v_size_row, dst_offset, v_size_row); + io.read_tensor(v, dst_offset, v_size_row); } } } @@ -2305,7 +2304,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 // Read type of value int32_t v_type_i_ref; - io.read_to(&v_type_i_ref, sizeof(v_type_i_ref)); + io.read(&v_type_i_ref, sizeof(v_type_i_ref)); const int32_t v_type_i = (int32_t) v->type; if (v_type_i != v_type_i_ref) { LLAMA_LOG_ERROR("%s: mismatched value type (%d != %d, layer %d)\n", __func__, v_type_i, v_type_i_ref, il); @@ -2314,7 +2313,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 // Read element size of value uint32_t v_size_el_ref; - io.read_to(&v_size_el_ref, sizeof(v_size_el_ref)); + io.read(&v_size_el_ref, sizeof(v_size_el_ref)); const size_t v_size_el = ggml_type_size(v->type); if (v_size_el != v_size_el_ref) { LLAMA_LOG_ERROR("%s: mismatched value element size (%zu != %zu, layer %d)\n", __func__, v_size_el, (size_t) v_size_el_ref, il); @@ -2323,7 +2322,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 // Read GQA embedding size uint32_t n_embd_v_gqa_ref; - io.read_to(&n_embd_v_gqa_ref, sizeof(n_embd_v_gqa_ref)); + io.read(&n_embd_v_gqa_ref, sizeof(n_embd_v_gqa_ref)); if (n_embd_v_gqa != n_embd_v_gqa_ref) { LLAMA_LOG_ERROR("%s: mismatched GQA embedding size (%u != %u, layer %d)\n", __func__, n_embd_v_gqa, n_embd_v_gqa_ref, il); return false; @@ -2335,15 +2334,14 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32 const uint32_t h = sinfo.head(); for (uint32_t j = 0; j < n_embd_v_gqa; ++j) { const size_t dst_offset = (h + j * cells.size()) * v_size_el; - ggml_backend_tensor_set(v, io.read(cell_count * v_size_el), dst_offset, cell_count * v_size_el); + io.read_tensor(v, dst_offset, cell_count * v_size_el); } } else { // Slow path: scatter to non-contiguous positions for (uint32_t j = 0; j < n_embd_v_gqa; ++j) { - const void * src = io.read(cell_count * v_size_el); for (uint32_t i = 0; i < cell_count; ++i) { const size_t dst_offset = (sinfo.idxs[0][i] + j * cells.size()) * v_size_el; - ggml_backend_tensor_set(v, (const char*)src + i * v_size_el, dst_offset, v_size_el); + io.read_tensor(v, dst_offset, v_size_el); } } } diff --git a/src/llama-memory-recurrent.cpp b/src/llama-memory-recurrent.cpp index 9287fe45e9..c07f1d969c 100644 --- a/src/llama-memory-recurrent.cpp +++ b/src/llama-memory-recurrent.cpp @@ -726,6 +726,10 @@ void llama_memory_recurrent::state_write(llama_io_write_i & io, llama_seq_id seq cell_ranges.emplace_back(cell_range_begin, size); } + if (flags % LLAMA_STATE_SEQ_FLAGS_ON_DEVICE && cell_ranges.size() > 1) { + GGML_ABORT("cannot save/load multiple ranges of cells to/from device memory\n"); + } + // DEBUG CHECK: Sum of cell counts in ranges should equal the total cell count uint32_t cell_count_check = 0; for (const auto & range : cell_ranges) { @@ -743,7 +747,7 @@ void llama_memory_recurrent::state_read(llama_io_read_i & io, llama_seq_id seq_i GGML_UNUSED(flags); uint32_t cell_count; - io.read_to(&cell_count, sizeof(cell_count)); + io.read(&cell_count, sizeof(cell_count)); bool res = true; @@ -784,7 +788,7 @@ void llama_memory_recurrent::state_write_data(llama_io_write_i & io, const std:: const uint32_t n_layer = hparams.n_layer; io.write(&s_trans, sizeof(s_trans)); - io.write(&n_layer, sizeof(n_layer)); + io.write(&n_layer, sizeof(n_layer)); // Iterate and write all the R tensors first, each row is a cell // Get whole range at a time @@ -879,8 +883,8 @@ bool llama_memory_recurrent::state_read_meta(llama_io_read_i & io, uint32_t cell llama_pos pos; uint32_t n_seq_id; - io.read_to(&pos, sizeof(pos)); - io.read_to(&n_seq_id, sizeof(n_seq_id)); + io.read(&pos, sizeof(pos)); + io.read(&n_seq_id, sizeof(n_seq_id)); if (n_seq_id != 0) { LLAMA_LOG_ERROR("%s: invalid seq_id-agnostic kv cell\n", __func__); @@ -920,14 +924,14 @@ bool llama_memory_recurrent::state_read_meta(llama_io_read_i & io, uint32_t cell llama_pos pos; uint32_t n_seq_id; - io.read_to(&pos, sizeof(pos)); - io.read_to(&n_seq_id, sizeof(n_seq_id)); + io.read(&pos, sizeof(pos)); + io.read(&n_seq_id, sizeof(n_seq_id)); cell.pos = pos; for (uint32_t j = 0; j < n_seq_id; ++j) { llama_seq_id seq_id; - io.read_to(&seq_id, sizeof(seq_id)); + io.read(&seq_id, sizeof(seq_id)); if (seq_id < 0 || (uint32_t) seq_id >= this->n_seq_max) { LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, %u)\n", __func__, seq_id, this->n_seq_max); @@ -961,8 +965,8 @@ bool llama_memory_recurrent::state_read_meta(llama_io_read_i & io, uint32_t cell bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell_count) { uint32_t s_trans; uint32_t n_layer; - io.read_to(&s_trans, sizeof(s_trans)); - io.read_to(&n_layer, sizeof(n_layer)); + io.read(&s_trans, sizeof(s_trans)); + io.read(&n_layer, sizeof(n_layer)); if (n_layer != hparams.n_layer) { LLAMA_LOG_ERROR("%s: mismatched layer count (%u instead of %u)\n", __func__, n_layer, hparams.n_layer); @@ -984,7 +988,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // Read type of key int32_t r_type_i_ref; - io.read_to(&r_type_i_ref, sizeof(r_type_i_ref)); + io.read(&r_type_i_ref, sizeof(r_type_i_ref)); const int32_t r_type_i = (int32_t) r_l[il]->type; if (r_type_i != r_type_i_ref) { LLAMA_LOG_ERROR("%s: mismatched r type (%d != %d, layer %d)\n", __func__, r_type_i, r_type_i_ref, il); @@ -993,7 +997,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // Read row size of key uint64_t r_size_row_ref; - io.read_to(&r_size_row_ref, sizeof(r_size_row_ref)); + io.read(&r_size_row_ref, sizeof(r_size_row_ref)); const size_t r_size_row = ggml_row_size(r_l[il]->type, hparams.n_embd_r()); if (r_size_row != r_size_row_ref) { LLAMA_LOG_ERROR("%s: mismatched r row size (%zu != %zu, layer %d)\n", __func__, r_size_row, (size_t) r_size_row_ref, il); @@ -1002,7 +1006,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell if (cell_count) { // Read and set the keys for the whole cell range - ggml_backend_tensor_set(r_l[il], io.read(cell_count * r_size_row), head * r_size_row, cell_count * r_size_row); + io.read_tensor(r_l[il], head * r_size_row, cell_count * r_size_row); } } @@ -1013,7 +1017,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // Read type of value int32_t s_type_i_ref; - io.read_to(&s_type_i_ref, sizeof(s_type_i_ref)); + io.read(&s_type_i_ref, sizeof(s_type_i_ref)); const int32_t s_type_i = (int32_t)s_l[il]->type; if (s_type_i != s_type_i_ref) { @@ -1023,7 +1027,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // Read row size of value uint64_t s_size_row_ref; - io.read_to(&s_size_row_ref, sizeof(s_size_row_ref)); + io.read(&s_size_row_ref, sizeof(s_size_row_ref)); const size_t s_size_row = ggml_row_size(s_l[il]->type, hparams.n_embd_s()); if (s_size_row != s_size_row_ref) { LLAMA_LOG_ERROR("%s: mismatched s row size (%zu != %zu, layer %d)\n", __func__, s_size_row, (size_t) s_size_row_ref, il); @@ -1032,7 +1036,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell if (cell_count) { // Read and set the values for the whole cell range - ggml_backend_tensor_set(s_l[il], io.read(cell_count * s_size_row), head * s_size_row, cell_count * s_size_row); + io.read_tensor(s_l[il], head * s_size_row, cell_count * s_size_row); } } } else { @@ -1045,7 +1049,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // Read type of value int32_t s_type_i_ref; - io.read_to(&s_type_i_ref, sizeof(s_type_i_ref)); + io.read(&s_type_i_ref, sizeof(s_type_i_ref)); const int32_t s_type_i = (int32_t)s_l[il]->type; if (s_type_i != s_type_i_ref) { LLAMA_LOG_ERROR("%s: mismatched s type (%d != %d, layer %d)\n", __func__, s_type_i, s_type_i_ref, il); @@ -1054,7 +1058,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // Read element size of value uint32_t s_size_el_ref; - io.read_to(&s_size_el_ref, sizeof(s_size_el_ref)); + io.read(&s_size_el_ref, sizeof(s_size_el_ref)); const size_t s_size_el = ggml_type_size(s_l[il]->type); if (s_size_el != s_size_el_ref) { LLAMA_LOG_ERROR("%s: mismatched s element size (%zu != %zu, layer %d)\n", __func__, s_size_el, (size_t) s_size_el_ref, il); @@ -1063,7 +1067,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // Read state embedding size uint32_t n_embd_s_ref; - io.read_to(&n_embd_s_ref, sizeof(n_embd_s_ref)); + io.read(&n_embd_s_ref, sizeof(n_embd_s_ref)); if (n_embd_s != n_embd_s_ref) { LLAMA_LOG_ERROR("%s: mismatched s embedding size (%u != %u, layer %d)\n", __func__, n_embd_s, n_embd_s_ref, il); return false; @@ -1073,7 +1077,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell // For each row in the transposed matrix, read the values for the whole cell range for (uint32_t j = 0; j < n_embd_s; ++j) { const size_t dst_offset = (head + j * size) * s_size_el; - ggml_backend_tensor_set(s_l[il], io.read(cell_count * s_size_el), dst_offset, cell_count * s_size_el); + io.read_tensor(s_l[il], dst_offset, cell_count * s_size_el); } } } diff --git a/src/llama-mmap.cpp b/src/llama-mmap.cpp index ccc29c1302..ed572da7fb 100644 --- a/src/llama-mmap.cpp +++ b/src/llama-mmap.cpp @@ -40,6 +40,14 @@ #include #endif +#ifdef _WIN32 +# define llama_mmap_ftell _ftelli64 +# define llama_mmap_fseek _fseeki64 +#else +# define llama_mmap_ftell ftello +# define llama_mmap_fseek fseeko +#endif + // TODO: consider moving to llama-impl.h if needed in more places #if defined(_WIN32) static std::string llama_format_win_err(DWORD err) { @@ -226,7 +234,7 @@ struct llama_file::impl { size_t tell() const { if (fd == -1) { - long ret = std::ftell(fp); + off_t ret = llama_mmap_ftell(fp); if (ret == -1) { throw std::runtime_error(format("ftell error: %s", strerror(errno))); } @@ -244,7 +252,7 @@ struct llama_file::impl { void seek(size_t offset, int whence) const { off_t ret = 0; if (fd == -1) { - ret = std::fseek(fp, (long) offset, whence); + ret = llama_mmap_fseek(fp, offset, whence); } else { ret = lseek(fd, offset, whence); } diff --git a/src/llama-model-saver.cpp b/src/llama-model-saver.cpp index 26864c18e9..e83056557b 100644 --- a/src/llama-model-saver.cpp +++ b/src/llama-model-saver.cpp @@ -268,6 +268,7 @@ void llama_model_saver::add_kv_from_model() { // add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, ???); add_kv(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale); add_kv(LLM_KV_ATTENTION_OUTPUT_SCALE, hparams.f_attn_out_scale); + add_kv(LLM_KV_ATTENTION_VALUE_SCALE, hparams.f_attn_value_scale); add_kv(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.attn_temp_length); add_kv(LLM_KV_ATTENTION_TEMPERATURE_SCALE, hparams.f_attn_temp_scale); add_kv(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl); diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 9e2a13cbd4..ff30a2ae7a 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -34,6 +34,285 @@ #include #include +static llama_model * llama_model_mapping(llm_arch arch, const llama_model_params & params) { + switch (arch) { + case LLM_ARCH_LLAMA: + return new llama_model_llama(params); + case LLM_ARCH_LLAMA4: + return new llama_model_llama4(params); + case LLM_ARCH_LLAMA_EMBED: + return new llama_model_llama_embed(params); + case LLM_ARCH_MAINCODER: + return new llama_model_maincoder(params); + case LLM_ARCH_DECI: + return new llama_model_deci(params); + case LLM_ARCH_BAICHUAN: + return new llama_model_baichuan(params); + case LLM_ARCH_FALCON: + return new llama_model_falcon(params); + case LLM_ARCH_GROK: + return new llama_model_grok(params); + case LLM_ARCH_STARCODER: + return new llama_model_starcoder(params); + case LLM_ARCH_REFACT: + return new llama_model_refact(params); + case LLM_ARCH_BERT: + return new llama_model_bert(params); + case LLM_ARCH_JINA_BERT_V2: + return new llama_model_jina_bert_v2(params); + case LLM_ARCH_JINA_BERT_V3: + return new llama_model_jina_bert_v3(params); + case LLM_ARCH_NOMIC_BERT: + return new llama_model_nomic_bert(params); + case LLM_ARCH_NOMIC_BERT_MOE: + return new llama_model_nomic_bert_moe(params); + case LLM_ARCH_MODERN_BERT: + return new llama_model_modern_bert(params); + case LLM_ARCH_NEO_BERT: + return new llama_model_neo_bert(params); + case LLM_ARCH_EUROBERT: + return new llama_model_eurobert(params); + case LLM_ARCH_BLOOM: + return new llama_model_bloom(params); + case LLM_ARCH_MPT: + return new llama_model_mpt(params); + case LLM_ARCH_STABLELM: + return new llama_model_stablelm(params); + case LLM_ARCH_QWEN: + return new llama_model_qwen(params); + case LLM_ARCH_QWEN2: + return new llama_model_qwen2(params); + case LLM_ARCH_DREAM: + return new llama_model_dream(params); + case LLM_ARCH_LLADA: + return new llama_model_llada(params); + case LLM_ARCH_LLADA_MOE: + return new llama_model_llada_moe(params); + case LLM_ARCH_RND1: + return new llama_model_rnd1(params); + case LLM_ARCH_QWEN2VL: + return new llama_model_qwen2vl(params); + case LLM_ARCH_QWEN2MOE: + return new llama_model_qwen2moe(params); + case LLM_ARCH_QWEN3: + return new llama_model_qwen3(params); + case LLM_ARCH_QWEN3MOE: + return new llama_model_qwen3moe(params); + case LLM_ARCH_QWEN3VL: + return new llama_model_qwen3vl(params); + case LLM_ARCH_QWEN3VLMOE: + return new llama_model_qwen3vlmoe(params); + case LLM_ARCH_PHI2: + return new llama_model_phi2(params); + case LLM_ARCH_PHI3: + return new llama_model_phi3(params); + case LLM_ARCH_PHIMOE: + return new llama_model_phimoe(params); + case LLM_ARCH_PLAMO: + return new llama_model_plamo(params); + case LLM_ARCH_PLAMO2: + return new llama_model_plamo2(params); + case LLM_ARCH_PLAMO3: + return new llama_model_plamo3(params); + case LLM_ARCH_GPT2: + return new llama_model_gpt2(params); + case LLM_ARCH_CODESHELL: + return new llama_model_codeshell(params); + case LLM_ARCH_ORION: + return new llama_model_orion(params); + case LLM_ARCH_INTERNLM2: + return new llama_model_internlm2(params); + case LLM_ARCH_MINICPM3: + return new llama_model_minicpm3(params); + case LLM_ARCH_GEMMA: + return new llama_model_gemma(params); + case LLM_ARCH_GEMMA2: + return new llama_model_gemma2(params); + case LLM_ARCH_GEMMA3: + return new llama_model_gemma3(params); + case LLM_ARCH_GEMMA3N: + return new llama_model_gemma3n(params); + case LLM_ARCH_GEMMA4: + return new llama_model_gemma4(params); + case LLM_ARCH_GEMMA_EMBEDDING: + return new llama_model_gemma_embedding(params); + case LLM_ARCH_STARCODER2: + return new llama_model_starcoder2(params); + case LLM_ARCH_MAMBA: + return new llama_model_mamba(params); + case LLM_ARCH_MAMBA2: + return new llama_model_mamba2(params); + case LLM_ARCH_JAMBA: + return new llama_model_jamba(params); + case LLM_ARCH_XVERSE: + return new llama_model_xverse(params); + case LLM_ARCH_COMMAND_R: + return new llama_model_command_r(params); + case LLM_ARCH_COHERE2: + return new llama_model_cohere2(params); + case LLM_ARCH_DBRX: + return new llama_model_dbrx(params); + case LLM_ARCH_OLMO: + return new llama_model_olmo(params); + case LLM_ARCH_OLMO2: + return new llama_model_olmo2(params); + case LLM_ARCH_OLMOE: + return new llama_model_olmoe(params); + case LLM_ARCH_OPENELM: + return new llama_model_openelm(params); + case LLM_ARCH_GPTNEOX: + return new llama_model_gptneox(params); + case LLM_ARCH_ARCTIC: + return new llama_model_arctic(params); + case LLM_ARCH_DEEPSEEK: + return new llama_model_deepseek(params); + case LLM_ARCH_DEEPSEEK2: + return new llama_model_deepseek2(params); + case LLM_ARCH_DEEPSEEK2OCR: + return new llama_model_deepseek2ocr(params); + case LLM_ARCH_GLM_DSA: + return new llama_model_glm_dsa(params); + case LLM_ARCH_MISTRAL4: + return new llama_model_mistral4(params); + case LLM_ARCH_CHATGLM: + return new llama_model_chatglm(params); + case LLM_ARCH_GLM4: + return new llama_model_glm4(params); + case LLM_ARCH_GLM4_MOE: + return new llama_model_glm4_moe(params); + case LLM_ARCH_BITNET: + return new llama_model_bitnet(params); + case LLM_ARCH_T5: + return new llama_model_t5(params); + case LLM_ARCH_T5ENCODER: + return new llama_model_t5encoder(params); + case LLM_ARCH_JAIS: + return new llama_model_jais(params); + case LLM_ARCH_JAIS2: + return new llama_model_jais2(params); + case LLM_ARCH_NEMOTRON: + return new llama_model_nemotron(params); + case LLM_ARCH_NEMOTRON_H: + return new llama_model_nemotron_h(params); + case LLM_ARCH_NEMOTRON_H_MOE: + return new llama_model_nemotron_h_moe(params); + case LLM_ARCH_EXAONE: + return new llama_model_exaone(params); + case LLM_ARCH_EXAONE4: + return new llama_model_exaone4(params); + case LLM_ARCH_EXAONE_MOE: + return new llama_model_exaone_moe(params); + case LLM_ARCH_RWKV6: + return new llama_model_rwkv6(params); + case LLM_ARCH_RWKV6QWEN2: + return new llama_model_rwkv6qwen2(params); + case LLM_ARCH_RWKV7: + return new llama_model_rwkv7(params); + case LLM_ARCH_ARWKV7: + return new llama_model_arwkv7(params); + case LLM_ARCH_GRANITE: + return new llama_model_granite(params); + case LLM_ARCH_GRANITE_MOE: + return new llama_model_granite_moe(params); + case LLM_ARCH_MINICPM: + return new llama_model_minicpm(params); + case LLM_ARCH_GRANITE_HYBRID: + return new llama_model_granite_hybrid(params); + case LLM_ARCH_CHAMELEON: + return new llama_model_chameleon(params); + case LLM_ARCH_WAVTOKENIZER_DEC: + return new llama_model_wavtokenizer_dec(params); + case LLM_ARCH_PLM: + return new llama_model_plm(params); + case LLM_ARCH_BAILINGMOE: + return new llama_model_bailingmoe(params); + case LLM_ARCH_BAILINGMOE2: + return new llama_model_bailingmoe2(params); + case LLM_ARCH_SEED_OSS: + return new llama_model_seed_oss(params); + case LLM_ARCH_DOTS1: + return new llama_model_dots1(params); + case LLM_ARCH_ARCEE: + return new llama_model_arcee(params); + case LLM_ARCH_AFMOE: + return new llama_model_afmoe(params); + case LLM_ARCH_ERNIE4_5: + return new llama_model_ernie4_5(params); + case LLM_ARCH_ERNIE4_5_MOE: + return new llama_model_ernie4_5_moe(params); + case LLM_ARCH_PADDLEOCR: + return new llama_model_paddleocr(params); + case LLM_ARCH_HUNYUAN_MOE: + return new llama_model_hunyuan_moe(params); + case LLM_ARCH_HUNYUAN_VL: + return new llama_model_hunyuan_vl(params); + case LLM_ARCH_HUNYUAN_DENSE: + return new llama_model_hunyuan_dense(params); + case LLM_ARCH_SMOLLM3: + return new llama_model_smollm3(params); + case LLM_ARCH_OPENAI_MOE: + return new llama_model_openai_moe(params); + case LLM_ARCH_FALCON_H1: + return new llama_model_falcon_h1(params); + case LLM_ARCH_LFM2: + return new llama_model_lfm2(params); + case LLM_ARCH_LFM2MOE: + return new llama_model_lfm2moe(params); + case LLM_ARCH_SMALLTHINKER: + return new llama_model_smallthinker(params); + case LLM_ARCH_GROVEMOE: + return new llama_model_grovemoe(params); + case LLM_ARCH_APERTUS: + return new llama_model_apertus(params); + case LLM_ARCH_MINIMAX_M2: + return new llama_model_minimax_m2(params); + case LLM_ARCH_COGVLM: + return new llama_model_cogvlm(params); + case LLM_ARCH_PANGU_EMBED: + return new llama_model_pangu_embed(params); + case LLM_ARCH_QWEN3NEXT: + return new llama_model_qwen3next(params); + case LLM_ARCH_QWEN35: + return new llama_model_qwen35(params); + case LLM_ARCH_QWEN35MOE: + return new llama_model_qwen35moe(params); + case LLM_ARCH_MISTRAL3: + return new llama_model_mistral3(params); + case LLM_ARCH_MIMO2: + return new llama_model_mimo2(params); + case LLM_ARCH_KIMI_LINEAR: + return new llama_model_kimi_linear(params); + case LLM_ARCH_STEP35: + return new llama_model_step35(params); + default: + throw std::runtime_error(std::string("unsupported model architecture: '") + llm_arch_name(arch) + "'"); + } + +} + +llama_model * llama_model_create(llm_arch arch, const llama_model_params & params) { + llama_model * model = llama_model_mapping(arch, params); + + if (model != nullptr) { + model->arch = arch; + auto & devices = model->devices; + if (!devices.empty() && devices[0].is_meta && !llm_arch_supports_sm_tensor(arch)) { + throw std::runtime_error(std::string("LLAMA_SPLIT_MODE_TENSOR not implemented for architecture '") + llm_arch_name(arch) + "'"); + } + } + + return model; +} + +llama_model * llama_model_create(llama_model_loader & ml, const llama_model_params & params) { + llm_arch arch = ml.get_arch(); + if (arch == LLM_ARCH_UNKNOWN) { + throw std::runtime_error("unknown model architecture: '" + ml.get_arch_name() + "'"); + } + + return llama_model_create(arch, params); +} + struct ggml_backend_meta_split_state llama_meta_device_get_split_state(const struct ggml_tensor * tensor, void * userdata) { const llama_meta_device_get_split_state_userdata * ud = (const llama_meta_device_get_split_state_userdata *) userdata; const llama_hparams & hparams = ud->model->hparams; @@ -688,22 +967,12 @@ llama_model::~llama_model() { } } -void llama_model::load_stats(llama_model_loader & ml) { +void llama_model_base::load_stats(llama_model_loader & ml) { pimpl->n_elements = ml.n_elements; pimpl->n_bytes = ml.n_bytes; } -void llama_model::load_arch(llama_model_loader & ml) { - arch = ml.get_arch(); - if (arch == LLM_ARCH_UNKNOWN) { - throw std::runtime_error("unknown model architecture: '" + ml.get_arch_name() + "'"); - } - if (!devices.empty() && devices[0].is_meta && !llm_arch_supports_sm_tensor(arch)) { - throw std::runtime_error(std::string("LLAMA_SPLIT_MODE_TENSOR not implemented for architecture '") + llm_arch_name(arch) + "'"); - } -} - -void llama_model::load_hparams(llama_model_loader & ml) { +void llama_model_base::load_hparams(llama_model_loader & ml) { const gguf_context * ctx = ml.metadata; // get metadata as string @@ -862,2111 +1131,14 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT_SWA, hparams.n_rot_swa, false); } - // for differentiating model types - uint32_t n_vocab = 0; - ml.get_key(LLM_KV_VOCAB_SIZE, n_vocab, false) || ml.get_arr_n(LLM_KV_TOKENIZER_LIST, n_vocab, false); - // for classifier models ml.get_arr(LLM_KV_CLASSIFIER_OUTPUT_LABELS, classifier_labels, false); if (!classifier_labels.empty()) { hparams.n_cls_out = classifier_labels.size(); } - // arch-specific KVs - switch (arch) { - case LLM_ARCH_LLAMA: - case LLM_ARCH_LLAMA_EMBED: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - if (hparams.n_expert == 8) { - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_8x7B; break; - case 56: type = LLM_TYPE_8x22B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } else { - switch (hparams.n_layer) { - case 16: type = LLM_TYPE_1B; break; // Llama 3.2 1B - case 22: type = LLM_TYPE_1B; break; - case 26: type = LLM_TYPE_3B; break; - case 28: type = LLM_TYPE_3B; break; // Llama 3.2 3B - case 30: type = LLM_TYPE_256M; break; // smoldocling 256M - // granite uses a vocab with len 49152 - case 32: type = n_vocab == 49152 ? LLM_TYPE_3B : (n_vocab < 40000 ? LLM_TYPE_7B : LLM_TYPE_8B); break; - case 36: type = LLM_TYPE_8B; break; // granite - case 40: type = LLM_TYPE_13B; break; - case 48: type = LLM_TYPE_34B; break; - case 60: type = LLM_TYPE_30B; break; - case 80: type = hparams.n_head() == hparams.n_head_kv() ? LLM_TYPE_65B : LLM_TYPE_70B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } - } break; - case LLM_ARCH_LLAMA4: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, hparams.n_moe_layer_step); - - const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - if (found_swa && hparams.n_swa == 0) { - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - hparams.n_no_rope_layer_step = hparams.n_layer; // always use rope - } else { - hparams.swa_type = LLAMA_SWA_TYPE_CHUNKED; - hparams.n_swa = 8192; - hparams.n_attn_temp_floor_scale = 8192; - hparams.f_attn_temp_scale = 0.1f; - hparams.f_attn_temp_offset = 1.0f; - uint32_t swa_period = 4; // pattern: 3 chunked - 1 full - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - } - - switch (hparams.n_expert) { - case 0: { - // MobileLLM (no MoE) - switch (hparams.n_embd) { - case 2048: type = LLM_TYPE_140M; break; - case 4096: type = LLM_TYPE_360M; break; - case 6144: type = LLM_TYPE_950M; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case 16: type = LLM_TYPE_17B_16E; break; - case 128: type = LLM_TYPE_17B_128E; break; - default: type = LLM_TYPE_UNKNOWN; - } - - hparams.use_kq_norm = type != LLM_TYPE_17B_128E; - } break; - case LLM_ARCH_ARCEE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - // Arcee uses the same structure as Llama - switch (hparams.n_layer) { - case 36: type = LLM_TYPE_4B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_AFMOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - - // Set up interleaved sliding window attention (ISWA) - // Pattern: 3 sliding - 1 full (global_attn_every_n_layers = 4) - if (hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - uint32_t swa_period = 4; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - } else { - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - } - - // Default to sigmoid if not set - if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; - } - - switch (hparams.n_layer) { - case 56: type = LLM_TYPE_6B; break; - case 32: type = LLM_TYPE_26B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_DECI: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 80: type = LLM_TYPE_70B; break; - case 162: type = LLM_TYPE_405B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MINICPM: - { - // Backward-compatible defaults for older MiniCPM GGUFs - hparams.f_embedding_scale = 12.0f; - hparams.f_residual_scale = 1.4f / sqrtf(float(hparams.n_layer)); - hparams.f_logit_scale = hparams.n_embd ? (256.0f / float(hparams.n_embd)) : 1.0f; - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - // Optional KV reads, override defaults if present in newer GGUF exports - ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, /*required=*/false); - ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, /*required=*/false); - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, /*required=*/false); - - // MiniCPM uses rope by default, unlike Granite which uses it as a switch - hparams.rope_finetuned = true; - - switch (hparams.n_layer) { - case 52: type = LLM_TYPE_1B; break; - case 40: type = LLM_TYPE_2B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MINICPM3: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); - ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); - - switch (hparams.n_layer) { - case 62: type = LLM_TYPE_4B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GROK: - { - // defaults for old GGUFs - hparams.yarn_beta_fast = 8.0f; - hparams.f_logit_scale = 0.5773502691896257f; - hparams.f_embedding_scale = 78.38367176906169f; - hparams.f_attn_out_scale = 0.08838834764831845f; - hparams.f_attn_logit_softcapping = 30.0f; - hparams.f_router_logit_softcapping = 30.0f; - // no final_logit_softcapping in grok-1 - hparams.f_final_logit_softcapping = 0.0f; - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, false); - ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, false); - ml.get_key(LLM_KV_ATTENTION_OUTPUT_SCALE, hparams.f_attn_out_scale, false); - ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING, hparams.f_attn_logit_softcapping, false); - ml.get_key(LLM_KV_ROUTER_LOGIT_SOFTCAPPING, hparams.f_router_logit_softcapping, false); - ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); - - ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.attn_temp_length, false); - ml.get_key(LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR, hparams.yarn_ext_factor, false); - ml.get_key(LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR, hparams.yarn_attn_factor, false); - ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST, hparams.yarn_beta_fast, false); - ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, hparams.yarn_beta_slow, false); - - switch (hparams.n_layer) { - case 64: type = LLM_TYPE_314B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_FALCON: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 60: type = LLM_TYPE_40B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_BAICHUAN: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 40: type = LLM_TYPE_13B; break; - default: type = LLM_TYPE_UNKNOWN; - } - - if (type == LLM_TYPE_13B) { - // TODO: become GGUF KV parameter - hparams.f_max_alibi_bias = 8.0f; - } - } break; - case LLM_ARCH_STARCODER: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_1B; break; - case 36: type = LLM_TYPE_3B; break; - case 42: type = LLM_TYPE_7B; break; - case 40: type = LLM_TYPE_15B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_REFACT: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_1B; break; - default: type = LLM_TYPE_UNKNOWN; - } - - // TODO: become GGUF KV parameter - hparams.f_max_alibi_bias = 8.0f; - } break; - case LLM_ARCH_BERT: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 3: - type = LLM_TYPE_17M; break; // bge-micro - case 6: - type = LLM_TYPE_22M; break; // MiniLM-L6 - case 12: - switch (hparams.n_embd) { - case 384: type = LLM_TYPE_33M; break; // MiniLM-L12, bge-small - case 768: type = LLM_TYPE_109M; break; // bge-base - default: type = LLM_TYPE_UNKNOWN; - } break; - case 24: - type = LLM_TYPE_335M; break; // bge-large - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MODERN_BERT: - { - const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - if (found_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - uint32_t swa_period = 3; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period, true); - } else { - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - } - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 12: - type = LLM_TYPE_47M; break; // granite-embedding-small - case 22: - type = LLM_TYPE_149M; break; // modern-bert-base - case 28: - type = LLM_TYPE_395M; break; // modern-bert-large - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_JINA_BERT_V2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - hparams.f_max_alibi_bias = 8.0f; - - switch (hparams.n_layer) { - case 4: type = LLM_TYPE_33M; break; // jina-embeddings-small - case 12: type = LLM_TYPE_137M; break; // jina-embeddings-base - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_JINA_BERT_V3: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 24: - type = LLM_TYPE_558M; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_NOMIC_BERT: - case LLM_ARCH_NOMIC_BERT_MOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS, hparams.moe_every_n_layers, 0); - - if (hparams.n_layer == 12 && hparams.n_embd == 768) { - if (arch == LLM_ARCH_NOMIC_BERT) { - type = LLM_TYPE_137M; - } else if (arch == LLM_ARCH_NOMIC_BERT_MOE && hparams.moe_every_n_layers == 2) { - type = LLM_TYPE_475M; - } - } - } break; - case LLM_ARCH_NEO_BERT: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - if (hparams.n_layer == 28) { - type = LLM_TYPE_250M; - } - } break; - case LLM_ARCH_EUROBERT: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - if (hparams.n_layer == 12) { - type = LLM_TYPE_SMALL; // 0.2B - } - } break; - case LLM_ARCH_BLOOM: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_1B; break; - case 30: - switch (hparams.n_embd) { - case 2560: type = LLM_TYPE_3B; break; - case 4096: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - default: type = LLM_TYPE_UNKNOWN; - } - - // TODO: become GGUF KV parameter - hparams.f_max_alibi_bias = 8.0f; - } break; - case LLM_ARCH_MPT: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv, false); - ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 48: type = LLM_TYPE_30B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_STABLELM: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_1B; break; - case 32: type = LLM_TYPE_3B; break; - case 40: type = LLM_TYPE_12B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 40: type = LLM_TYPE_13B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN2VL: - { - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); - } - // fall through - case LLM_ARCH_QWEN2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_5B : LLM_TYPE_1B; break; - case 28: type = hparams.n_embd == 1536 ? LLM_TYPE_1_5B : LLM_TYPE_7B; break; - case 32: type = LLM_TYPE_7B; break; - case 36: type = LLM_TYPE_3B; break; - case 40: type = hparams.n_head() == 20 ? LLM_TYPE_4B : LLM_TYPE_13B; break; - case 48: type = LLM_TYPE_14B; break; - case 64: type = LLM_TYPE_32B; break; - case 80: type = LLM_TYPE_70B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_DREAM: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - // Dream models are primarily 7B with 28 layers - switch (hparams.n_layer) { - case 28: - type = LLM_TYPE_7B; - break; - default: - type = LLM_TYPE_UNKNOWN; - } - // Set non-causal attention for diffusion models - hparams.causal_attn = false; - } break; - case LLM_ARCH_LLADA: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - // LLaDA-8B has 32 layers, similar to LLaMA but for diffusion - switch (hparams.n_layer) { - case 32: - type = LLM_TYPE_8B; - break; - default: - type = LLM_TYPE_UNKNOWN; - } - // Set non-causal attention for diffusion models - hparams.causal_attn = false; - } break; - case LLM_ARCH_LLADA_MOE: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - // diffusion language model uses non-causal attention - hparams.causal_attn = false; - switch (hparams.n_layer) { - case 16: type = LLM_TYPE_A1_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_RND1: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 48: type = LLM_TYPE_30B_A3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - // Set non-causal attention for diffusion models - hparams.causal_attn = false; - } break; - case LLM_ARCH_QWEN2MOE: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_A2_7B; break; - case 28: type = LLM_TYPE_57B_A14B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN3: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 28: type = hparams.n_embd == 1024 ? LLM_TYPE_0_6B : LLM_TYPE_1_7B; break; - case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break; - case 40: type = LLM_TYPE_14B; break; - case 64: type = LLM_TYPE_32B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MAINCODER: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_1B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN3VL: - { - ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false); - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 28: type = LLM_TYPE_1_7B; break; - case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break; - case 64: type = LLM_TYPE_32B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN3MOE: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 48: type = LLM_TYPE_30B_A3B; break; - case 94: type = LLM_TYPE_235B_A22B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN3VLMOE: - { - ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false); - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 48: type = LLM_TYPE_30B_A3B; break; - case 94: type = LLM_TYPE_235B_A22B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_PHI2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_1B; break; - case 32: type = LLM_TYPE_3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_PHI3: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_1B; break; - case 32: type = LLM_TYPE_3B; break; - case 40: type = LLM_TYPE_14B; break; - default: type = LLM_TYPE_UNKNOWN; - } - - const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - - if (found_swa && hparams.n_swa > 0) { - LLAMA_LOG_WARN("%s: Phi SWA is currently disabled - results might be suboptimal for some models (see %s)\n", - __func__, "https://github.com/ggml-org/llama.cpp/pull/13676"); - - // TODO: fix conversion scripts to correctly populate `n_swa` and `n_swa_pattern` - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - - hparams.n_swa = 0; - hparams.set_swa_pattern(1); - } - } break; - case LLM_ARCH_PHIMOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_16x3_8B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_PLAMO: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 40: type = LLM_TYPE_13B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_PLAMO2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - // Load Mamba SSM parameters - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; - } - - switch (hparams.n_layer) { - case 16: type = LLM_TYPE_1B; break; - case 32: - if (hparams.n_embd == 2048) { - type = LLM_TYPE_2B; - } else if (hparams.n_embd == 4096) { - type = LLM_TYPE_8B; - } - break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_PLAMO3: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - if (found_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - uint32_t swa_period = 8; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - } else { - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - } - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_2B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GPT2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - switch (hparams.n_layer) { - case 12: type = LLM_TYPE_SMALL; break; - case 24: type = LLM_TYPE_MEDIUM; break; - case 36: type = LLM_TYPE_LARGE; break; - case 48: type = LLM_TYPE_XL; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_CODESHELL: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - switch (hparams.n_layer) { - case 42: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_ORION: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 40: type = LLM_TYPE_14B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_INTERNLM2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 48: type = LLM_TYPE_20B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GEMMA: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 18: type = LLM_TYPE_2B; break; - case 28: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GEMMA2: - { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.n_swa = 4096; // default value of gemma 2 - uint32_t swa_period = 2; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - hparams.attn_soft_cap = true; - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING, hparams.f_attn_logit_softcapping, false); - ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); - - switch (hparams.n_layer) { - case 26: type = LLM_TYPE_2B; break; - case 42: type = LLM_TYPE_9B; break; - case 46: type = LLM_TYPE_27B; break; - default: type = LLM_TYPE_UNKNOWN; - } - - // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L173 - hparams.f_attention_scale = type == LLM_TYPE_27B - ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0))) - : 1.0f / std::sqrt(float(hparams.n_embd_head_k())); - } break; - case LLM_ARCH_GEMMA3: - { - const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - if (found_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - uint32_t swa_period = 6; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - } else { - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - } - - hparams.f_final_logit_softcapping = 0.0f; - ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 18: type = LLM_TYPE_270M; break; - case 26: type = LLM_TYPE_1B; break; - case 32: type = LLM_TYPE_8B; break; // Rnj-1 - case 34: type = LLM_TYPE_4B; break; - case 48: type = LLM_TYPE_12B; break; - case 62: type = LLM_TYPE_27B; break; - default: type = LLM_TYPE_UNKNOWN; - } - - // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L289 - hparams.f_attention_scale = type == LLM_TYPE_27B - ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0))) - : 1.0f / std::sqrt(float(hparams.n_embd_head_k())); - } break; - case LLM_ARCH_GEMMA3N: - { - uint32_t swa_period = 5; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(swa_period); - - hparams.n_layer_kv_from_start = 20; - hparams.f_attention_scale = 1.0f; - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 30: type = LLM_TYPE_E2B; break; - case 35: type = LLM_TYPE_E4B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GEMMA4: - { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); - - uint32_t n_kv_shared_layers = 0; - ml.get_key(LLM_KV_ATTENTION_SHARED_KV_LAYERS, n_kv_shared_layers, false); - - hparams.n_layer_kv_from_start = hparams.n_layer - (int32_t)n_kv_shared_layers; - hparams.f_attention_scale = 1.0f; // Gemma4 uses self.scaling = 1.0 (no pre-attn scaling) - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EMBEDDING_LENGTH_PER_LAYER, hparams.n_embd_per_layer); - ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_SWA, hparams.n_embd_head_k_swa); - ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_SWA, hparams.n_embd_head_v_swa); - ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); - - switch (hparams.n_layer) { - case 30: type = LLM_TYPE_26B_A4B; break; - case 35: type = LLM_TYPE_E2B; break; - case 42: type = LLM_TYPE_E4B; break; - case 60: type = LLM_TYPE_31B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GEMMA_EMBEDDING: - { - hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; - uint32_t swa_period = 6; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - - hparams.causal_attn = false; // embeddings do not use causal attention - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - //applied only if model converted with --sentence-transformers-dense-modules - ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false); - ml.get_key(LLM_KV_DENSE_2_FEAT_OUT, hparams.dense_2_feat_out, false); - ml.get_key(LLM_KV_DENSE_3_FEAT_IN, hparams.dense_3_feat_in, false); - ml.get_key(LLM_KV_DENSE_3_FEAT_OUT, hparams.dense_3_feat_out, false); - - GGML_ASSERT((hparams.dense_2_feat_in == 0 || hparams.dense_2_feat_in == hparams.n_embd) && "dense_2_feat_in must be equal to n_embd"); - GGML_ASSERT((hparams.dense_3_feat_out == 0 || hparams.dense_3_feat_out == hparams.n_embd) && "dense_3_feat_out must be equal to n_embd"); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_0_3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k())); - - } break; - case LLM_ARCH_STARCODER2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - switch (hparams.n_layer) { - case 30: type = LLM_TYPE_3B; break; - case 32: type = LLM_TYPE_7B; break; - case 40: type = LLM_TYPE_15B; break; - case 52: type = LLM_TYPE_20B; break; // granite - case 88: type = LLM_TYPE_34B; break; // granite - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MAMBA: - { - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_DT_B_C_RMS, hparams.ssm_dt_b_c_rms, false); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 24: - switch (hparams.n_embd) { - case 768: type = LLM_TYPE_SMALL; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 48: - switch (hparams.n_embd) { - case 1024: type = LLM_TYPE_MEDIUM; break; - case 1536: type = LLM_TYPE_LARGE; break; - case 2048: type = LLM_TYPE_XL; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 64: - switch (hparams.n_embd) { - case 2560: type = LLM_TYPE_3B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MAMBA2: - { - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 24: - switch (hparams.n_embd) { - case 768: type = LLM_TYPE_SMALL; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 48: - switch (hparams.n_embd) { - case 1024: type = LLM_TYPE_MEDIUM; break; - case 1536: type = LLM_TYPE_LARGE; break; - case 2048: type = LLM_TYPE_XL; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 64: - switch (hparams.n_embd) { - case 2560: type = LLM_TYPE_3B; break; - case 4096: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_JAMBA: - { - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; - } - - switch (hparams.n_layer) { - // TODO: Jamba layers are a bit heterogeneous, so naming this is hard. - case 12: // 900M 8x???M - case 32: // 51B 16x?B - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_XVERSE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 40: type = LLM_TYPE_13B; break; - case 80: type = LLM_TYPE_65B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_COMMAND_R: - { - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - switch (hparams.n_layer) { - case 40: type = LLM_TYPE_35B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_COHERE2: - { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - uint32_t swa_period = 4; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_8B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_DBRX: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv); - - switch (hparams.n_layer) { - case 40: type = LLM_TYPE_16x12B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_OLMO: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv, false); - - switch (hparams.n_layer) { - case 22: type = LLM_TYPE_1B; break; - case 32: type = LLM_TYPE_7B; break; - case 80: type = LLM_TYPE_70B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_OLMO2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - if (found_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - uint32_t swa_period = 4; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = 1.0; // See olmo2.cpp - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - } else { - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - } - - switch (hparams.n_layer) { - case 16: type = LLM_TYPE_1B; break; - case 32: type = LLM_TYPE_7B; break; - case 40: type = LLM_TYPE_13B; break; - case 64: type = LLM_TYPE_32B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_SEED_OSS: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 64: type = LLM_TYPE_36B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_OLMOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 16: type = LLM_TYPE_A1_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_OPENELM: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 16: type = LLM_TYPE_270M; break; - case 20: type = LLM_TYPE_450M; break; - case 28: type = LLM_TYPE_1B; break; - case 36: type = LLM_TYPE_3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GPTNEOX: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_USE_PARALLEL_RESIDUAL, hparams.use_par_res); - switch (hparams.n_layer) { - case 6: - switch (hparams.n_ff()) { - case 512: type = LLM_TYPE_14M; break; - case 2048: type = LLM_TYPE_70M; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 12: - switch (hparams.n_ff()) { - case 3072: type = LLM_TYPE_160M; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 16: - switch (hparams.n_ff()) { - case 8192: type = LLM_TYPE_1B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 24: - switch (hparams.n_ff()) { - case 4096: type = LLM_TYPE_410M; break; - case 8192: type = LLM_TYPE_1_4B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 32: - switch (hparams.n_ff()) { - case 10240: type = LLM_TYPE_2_8B; break; - case 16384: type = LLM_TYPE_6_9B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 36: - switch (hparams.n_ff()) { - case 20480: type = LLM_TYPE_12B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 44: - switch (hparams.n_ff()) { - case 24576: type = LLM_TYPE_20B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_ARCTIC: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - if (hparams.n_expert == 128) { - switch (hparams.n_layer) { - case 35: type = LLM_TYPE_10B_128x3_66B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } else { - type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_DEEPSEEK: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - - switch (hparams.n_ff_exp) { - case 1408: type = LLM_TYPE_16B; break; - case 1792: type = LLM_TYPE_20B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_DEEPSEEK2: - case LLM_ARCH_MISTRAL4: - { - // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B, Kanana-2-30B-A3B - const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26 || (hparams.n_layer == 48 && n_vocab == 128256)); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - if (!is_lite) { - ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); - } - ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); - ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl, false); - ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { - // for compatibility with existing DeepSeek V2 and V2.5 GGUFs - // that have no expert_gating_func model parameter set - if ((hparams.n_layer == 47 || hparams.n_layer == 48) && n_vocab == 154880) { - // GLM 4.7 Lite - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; - } else { - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX; - } - } - - if (ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul, 0.0f)) { - // [TAG_DEEPSEEK2_YARN_LOG_MUL_FIX] - // cancel the factor from the convert script - hparams.rope_yarn_log_mul /= 0.1f; - } - - // (optional) temperature tuning - used by mistral-large - ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE, hparams.f_attn_temp_scale, false); - ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.n_attn_temp_floor_scale, false); // FIXME why not use temperature_length? - - hparams.f_attn_temp_offset = 0.0f; - - switch (hparams.n_layer) { - case 27: type = LLM_TYPE_16B; break; - case 47: type = LLM_TYPE_30B_A3B; break; - case 60: type = LLM_TYPE_236B; break; - case 61: type = LLM_TYPE_671B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_DEEPSEEK2OCR: - { - // similar to deepseek2, but without MLA - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - - if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX; - } - - switch (hparams.n_layer) { - case 12: type = LLM_TYPE_3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_PLM: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_1_8B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_CHATGLM: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 28: { - if (hparams.n_head(0) == 16) { - type = LLM_TYPE_1_5B; - } else { - type = LLM_TYPE_6B; - } - } break; - case 40: { - if (hparams.n_head(0) == 24) { - type = LLM_TYPE_4B; - } else { - type = LLM_TYPE_9B; - } - } break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GLM4: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); - - // NextN/MTP parameters (GLM-OCR) - ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); - GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); - - // TODO: when MTP is implemented, this should probably be updated if needed - hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; - - switch (hparams.n_layer) { - case 17: type = LLM_TYPE_1B; break; // GLM-OCR - case 40: type = LLM_TYPE_9B; break; - case 61: type = LLM_TYPE_32B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GLM4_MOE: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); - - // MoE parameters - ml.get_key(LLM_KV_EXPERT_COUNT, hparams.n_expert); - ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - - // Expert gating function (GLM-4.5 uses sigmoid) - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; - } - - // NextN/MTP parameters - ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); - GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); - - // TODO: when MTP is implemented, this should probably be updated if needed - hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; - - switch (hparams.n_layer) { - case 47: type = LLM_TYPE_106B_A12B; break; // GLM-4.5-Air (46 layers + 1 NextN layer) - case 48: type = LLM_TYPE_102B_A12B; break; // Solar Open - case 93: type = LLM_TYPE_355B_A32B; break; // GLM-4.5 (92 layers + 1 NextN layer) - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GLM_DSA: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); - - // MoE parameters - ml.get_key(LLM_KV_EXPERT_COUNT, hparams.n_expert); - ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - - // deepseek MLA parameters - ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); - ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); - ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl, false); - ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - - // DSA parameters - ml.get_key(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, hparams.indexer_n_head); - ml.get_key(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, hparams.indexer_head_size); - ml.get_key(LLM_KV_ATTENTION_INDEXER_TOP_K, hparams.indexer_top_k); - - // Expert gating function (GLM-4.5 uses sigmoid) - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; - } - - // NextN/MTP parameters - ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); - GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); - - // TODO: when MTP is implemented, this should probably be updated if needed - hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; - - switch (hparams.n_layer) { - case 79: type = LLM_TYPE_744B_A40B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_BITNET: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 26: type = LLM_TYPE_3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_T5: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts); - - uint32_t dec_start_token_id; - if (ml.get_key(LLM_KV_DECODER_START_TOKEN_ID, dec_start_token_id, false)) { - hparams.dec_start_token_id = dec_start_token_id; - } - - hparams.dec_n_layer = hparams.n_layer; - ml.get_key(LLM_KV_DECODER_BLOCK_COUNT, hparams.dec_n_layer, false); - - switch (hparams.n_layer) { - case 6: type = LLM_TYPE_60M; break; // t5-small - case 8: type = LLM_TYPE_80M; break; // flan-t5-small - case 12: - switch (hparams.n_ff()) { - case 3072: type = LLM_TYPE_220M; break; // t5-base - case 2048: type = LLM_TYPE_250M; break; // flan-t5-base - default: type = LLM_TYPE_UNKNOWN; - } break; - case 24: - switch (hparams.n_ff()) { - case 4096: type = LLM_TYPE_770M; break; // t5-large - case 2816: type = LLM_TYPE_780M; break; // flan-t5-large - case 16384: type = LLM_TYPE_3B; break; // t5-3b - case 5120: type = LLM_TYPE_3B; break; // flan-t5-xl - case 65536: type = LLM_TYPE_11B; break; // t5-11b - case 10240: type = LLM_TYPE_11B; break; // flan-t5-xxl - default: type = LLM_TYPE_UNKNOWN; - } break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_T5ENCODER: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts); - type = LLM_TYPE_UNKNOWN; - } break; - case LLM_ARCH_JAIS: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_1_3B; break; - case 40: type = LLM_TYPE_13B; break; - /* TODO: add variants */ - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_JAIS2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_8B; break; - case 68: type = LLM_TYPE_70B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_NEMOTRON: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_4B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_NEMOTRON_H: - case LLM_ARCH_NEMOTRON_H_MOE: - { - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - // A layer is recurrent IFF the n_head_kv value is set to 0 and - // the n_ff value is set to 0 - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = (hparams.n_head_kv(i) == 0 && hparams.n_ff(i) == 0); - } - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_MOE_LATENT_SIZE, hparams.moe_latent_size, false); - - switch (hparams.n_layer) { - case 52: type = LLM_TYPE_31B_A3_5B; break; // Nemotron-H_MOE 31B - case 56: type = LLM_TYPE_9B; break; - case 88: type = LLM_TYPE_120B_A12B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_EXAONE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_8B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_EXAONE4: - { - if (hparams.n_layer == 64) { // 32B - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.n_swa = 4096; - uint32_t swa_period = 4; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - } - - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 30: type = LLM_TYPE_1_2B; break; - case 64: type = LLM_TYPE_32B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_EXAONE_MOE: - { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.n_swa = 128; - uint32_t swa_period = 4; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - - ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); - GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_30B_A3B; break; - case 48: - case 49: type = LLM_TYPE_235B_A22B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_RWKV6: - case LLM_ARCH_RWKV6QWEN2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false); - ml.get_key(LLM_KV_WKV_HEAD_SIZE, hparams.wkv_head_size); - ml.get_key(LLM_KV_TIME_MIX_EXTRA_DIM, hparams.time_mix_extra_dim); - ml.get_key(LLM_KV_TIME_DECAY_EXTRA_DIM, hparams.time_decay_extra_dim); - ml.get_key(LLM_KV_RESCALE_EVERY_N_LAYERS, hparams.rescale_every_n_layers, false); - ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT, hparams.token_shift_count, false); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_1_6B; break; - case 32: - switch (hparams.n_embd) { - case 2560: type = LLM_TYPE_3B; break; - case 4096: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 61: type = LLM_TYPE_14B; break; - case 64: type = LLM_TYPE_32B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_RWKV7: - case LLM_ARCH_ARWKV7: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false); - ml.get_key(LLM_KV_WKV_HEAD_SIZE, hparams.wkv_head_size); - ml.get_key(LLM_KV_ATTENTION_DECAY_LORA_RANK, hparams.n_lora_decay); - ml.get_key(LLM_KV_ATTENTION_ICLR_LORA_RANK, hparams.n_lora_iclr); - ml.get_key(LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, hparams.n_lora_value_res_mix); - ml.get_key(LLM_KV_ATTENTION_GATE_LORA_RANK, hparams.n_lora_gate, false); - ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT, hparams.token_shift_count, false); - - switch (hparams.n_layer) { - case 12: - switch (hparams.n_embd) { - case 768: type = LLM_TYPE_190M; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 24: - switch (hparams.n_embd) { - case 1024: type = LLM_TYPE_450M; break; - case 2048: type = LLM_TYPE_1_5B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 28: - switch (hparams.n_embd) { - case 1536: type = LLM_TYPE_1_5B; break; - case 3584: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 32: - switch (hparams.n_embd) { - case 2560: type = LLM_TYPE_2_9B; break; - case 4096: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - case 61: - switch (hparams.n_embd) { - case 4096: type = LLM_TYPE_14B; break; - default: type = LLM_TYPE_UNKNOWN; - } break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GRANITE: - case LLM_ARCH_GRANITE_MOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); - ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, false); - ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, false); - ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale, false); - - // Granite uses rope_finetuned as a switch for rope, so default to true - bool rope_finetuned = true; - ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false); - hparams.rope_finetuned = rope_finetuned; - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_3B; break; - case 40: type = LLM_TYPE_3B; break; - // Add additional layer/vocab/etc checks here for other model sizes - default: type = LLM_TYPE_UNKNOWN; - } - - // For Granite MoE Shared - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false); - } break; - case LLM_ARCH_GRANITE_HYBRID: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, /* required */ false); - ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, /* required */ false); - ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, /* required */ false); - ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale, /* required */ false); - - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - // Granite uses rope_finetuned as a switch for rope, so default to true - bool rope_finetuned = true; - ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false); - hparams.rope_finetuned = rope_finetuned; - - // A layer is recurrent IFF the n_head_kv value is set to 0 - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; - } - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_embd) { - case 768: type = LLM_TYPE_350M; break; - case 1536: type = (hparams.n_ff() == 512 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break; - case 2048: case 2560: type = LLM_TYPE_3B; break; - case 4096: type = LLM_TYPE_32B; break; - default: type = LLM_TYPE_UNKNOWN; - } - - // For Granite MoE Shared - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false); - } break; - case LLM_ARCH_CHAMELEON: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - hparams.f_norm_eps = 1e-5; // eps for qk-norm, torch default - ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm, false); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_7B; break; - case 48: type = LLM_TYPE_34B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_WAVTOKENIZER_DEC: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS, hparams.f_norm_group_eps); - ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups); - } break; - case LLM_ARCH_BAILINGMOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - - switch (hparams.n_layer) { - case 28: type = LLM_TYPE_16B; break; - case 88: type = LLM_TYPE_290B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_BAILINGMOE2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); - ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); - GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); - - // TODO: when MTP is implemented, this should probably be updated if needed - hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; - - switch (hparams.n_layer) { - case 20: type = LLM_TYPE_16B_A1B; break; - case 21: type = LLM_TYPE_16B_A1B; break; - case 32: type = LLM_TYPE_100B_A6B; break; - case 33: type = LLM_TYPE_100B_A6B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_DOTS1: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - switch (hparams.n_layer) { - case 62: type = LLM_TYPE_142B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_ERNIE4_5: - case LLM_ARCH_ERNIE4_5_MOE: - case LLM_ARCH_PADDLEOCR: - { - // paddleocr need mrope_section - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); - - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - if (arch == LLM_ARCH_ERNIE4_5_MOE) { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, hparams.n_moe_layer_step); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - } - - switch (hparams.n_layer) { - case 18: type = LLM_TYPE_0_3B; break; - case 28: type = LLM_TYPE_21B_A3B; break; - case 54: type = LLM_TYPE_300B_A47B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_FALCON_H1: - { - // Common parameters - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - // SSM parameters - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - std::fill(hparams.recurrent_layer_arr.begin(), hparams.recurrent_layer_arr.end(), true); - - switch (hparams.n_layer) { - case 36: - type = LLM_TYPE_0_5B; break; - case 24: - type = LLM_TYPE_1_5B; break; - case 66: - type = LLM_TYPE_1B; break; - case 32: - type = LLM_TYPE_3B; break; - case 44: - type = LLM_TYPE_7B; break; - case 72: - type = LLM_TYPE_34B; break; - default: - type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_HUNYUAN_MOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_A13B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_HUNYUAN_VL: - case LLM_ARCH_HUNYUAN_DENSE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); - - // XDRoPE / NTK-aware scaling: base = rope_theta * alpha^(dim / (dim - 2)) - if (hparams.rope_scaling_alpha > 0.0f) { - const int dim = hparams.n_embd_head_k(); - hparams.rope_freq_base_train = hparams.rope_freq_base_train - * powf(hparams.rope_scaling_alpha, (float)dim / (float)(dim - 2)); - } - - switch (hparams.n_embd) { - case 1024: type = LLM_TYPE_0_5B; break; - case 2048: type = LLM_TYPE_1_8B; break; - case 3072: type = LLM_TYPE_4B; break; - case 4096: type = LLM_TYPE_7B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_SMOLLM3: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - hparams.n_no_rope_layer_step = 4; - - switch (hparams.n_layer) { - case 36: type = LLM_TYPE_3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_OPENAI_MOE: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - uint32_t swa_period = 2; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period); - - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_20B; break; - case 36: type = LLM_TYPE_120B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_LFM2: - { - ml.get_key(LLM_KV_SHORTCONV_L_CACHE, hparams.n_shortconv_l_cache); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - for (uint32_t il = 0; il < hparams.n_layer; ++il) { - hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0; - } - hparams.n_layer_dense_lead = hparams.n_layer; - switch (hparams.n_ff()) { - case 4608: type = LLM_TYPE_350M; break; - case 6912: type = LLM_TYPE_700M; break; - case 8192: type = LLM_TYPE_1_2B; break; - case 10752: type = LLM_TYPE_2_6B; break; - default: type = LLM_TYPE_UNKNOWN; - } - if (const auto is_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); is_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - for (uint32_t il = 0; il < hparams.n_layer; ++il) { - hparams.swa_layers[il] = !hparams.recurrent_layer_arr[il]; - } - } - } break; - case LLM_ARCH_LFM2MOE: - { - ml.get_key(LLM_KV_SHORTCONV_L_CACHE, hparams.n_shortconv_l_cache); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); - - for (uint32_t il = 0; il < hparams.n_layer; ++il) { - hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0; - } - - switch (hparams.n_layer) { - case 24: type = LLM_TYPE_8B_A1B; break; - case 40: type = LLM_TYPE_24B_A2B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_SMALLTHINKER: - { - const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); - - if (found_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.n_swa = 4096; - uint32_t swa_period = 4; - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); - hparams.set_swa_pattern(swa_period, true); - - hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; - hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - } else { - hparams.swa_type = LLAMA_SWA_TYPE_NONE; - hparams.n_no_rope_layer_step = hparams.n_layer; - } - - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_4B; break; - case 52: type = LLM_TYPE_20B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_GROVEMOE: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, hparams.n_ff_chexp, false); - ml.get_key(LLM_KV_EXPERT_GROUP_SCALE, hparams.expert_group_scale); - ml.get_key(LLM_KV_EXPERTS_PER_GROUP, hparams.n_group_experts); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - switch (hparams.n_layer) { - case 48: type = LLM_TYPE_30B_A3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_APERTUS: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_N, hparams.xielu_alpha_n, hparams.n_layer); - ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_P, hparams.xielu_alpha_p, hparams.n_layer); - ml.get_key_or_arr(LLM_KV_XIELU_BETA, hparams.xielu_beta, hparams.n_layer); - ml.get_key_or_arr(LLM_KV_XIELU_EPS, hparams.xielu_eps, hparams.n_layer); - - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_8B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MINIMAX_M2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - - switch (hparams.n_layer) { - case 62: type = LLM_TYPE_230B_A10B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_COGVLM: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 32: type = LLM_TYPE_13B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_PANGU_EMBED: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - switch (hparams.n_layer) { - case 26: type = LLM_TYPE_1B; break; // openPangu-Embedded-1B-V1.1 - case 34: type = LLM_TYPE_7B; break; // openPangu-Embedded-7B-V1.1 - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN3NEXT: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - // Load linear attention (gated delta net) parameters - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - // Mark recurrent layers (linear attention layers) - { - uint32_t full_attn_interval = 4; - ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false); - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0); - } - } - - switch (hparams.n_layer) { - case 48: type = LLM_TYPE_80B_A3B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN35: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); - - // Load linear attention (gated delta net) parameters - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - // Mark recurrent layers (linear attention layers) - { - uint32_t full_attn_interval = 4; - ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false); - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0); - } - } - - switch (hparams.n_layer) { - case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_8B : LLM_TYPE_2B; break; - case 32: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_9B; break; - case 64: type = LLM_TYPE_27B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_QWEN35MOE: - { - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); - - // Load linear attention (gated delta net) parameters - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); - ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); - ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); - ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); - - // Mark recurrent layers (linear attention layers) - { - uint32_t full_attn_interval = 4; - ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false); - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0); - } - } - - switch (hparams.n_layer) { - case 40: type = LLM_TYPE_35B_A3B; break; - case 48: type = LLM_TYPE_122B_A10B; break; - case 60: type = LLM_TYPE_397B_A17B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MISTRAL3: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE, hparams.f_attn_temp_scale, false); - - ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST, hparams.yarn_beta_fast, false); - ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, hparams.yarn_beta_slow, false); - ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul, 0.0f); - - hparams.f_attn_temp_offset = 0.0f; - - // TODO: maybe add n_attn_temp_floor_scale as a separate KV? - if (hparams.f_attn_temp_scale != 0.0f) { - hparams.n_attn_temp_floor_scale = hparams.n_ctx_orig_yarn; - if (hparams.n_attn_temp_floor_scale == 0) { - throw std::runtime_error("invalid n_ctx_orig_yarn for attention temperature scaling"); - } - } - - switch (hparams.n_layer) { - case 26: type = LLM_TYPE_3B; break; - case 34: type = LLM_TYPE_8B; break; - case 40: type = LLM_TYPE_14B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_MIMO2: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); - - switch (hparams.n_layer) { - case 48: type = LLM_TYPE_310B_A15B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_KIMI_LINEAR: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl); - ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl); - ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); - ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); - ml.get_key(LLM_KV_KDA_HEAD_DIM, hparams.n_embd_head_kda); - - // MLA qk_rope_head_dim (for reference) - // qk_rope_head_dim = 64, qk_nope_head_dim = 128, qk_head_dim = 192 - - // Mark KDA layers as recurrent using n_head_kv pattern (like Jamba) - // Set n_head_kv = 0 for KDA layers (recurrent), n_head_kv = n_head for MLA layers (attention) - for (uint32_t i = 0; i < hparams.n_layer; ++i) { - hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; // KDA layers are recurrent - } - - // MoE parameters - Kimi uses moe_intermediate_size = 1024 - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); - - switch (hparams.n_layer) { - case 27: type = LLM_TYPE_48B_A3B; break; // Kimi-Linear-48B-A3B - default: type = LLM_TYPE_UNKNOWN; - } - } break; - case LLM_ARCH_STEP35: - { - ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - - // full_attention layer only use half of the RoPE dimensions - hparams.n_rot_full = hparams.n_rot_full / 2; - - // MoE + SWA parameters - ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); - ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - - // Step35 uses sigmoid gating by default (if not set in GGUF) - if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; - } - - ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); - ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); - ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_EXP, hparams.swiglu_clamp_exp, hparams.n_layer, false); - ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp, hparams.n_layer, false); - - switch (hparams.n_layer) { - case 45: type = LLM_TYPE_196B_A11B; break; - default: type = LLM_TYPE_UNKNOWN; - } - } break; - default: throw std::runtime_error("unsupported model architecture: " + arch_name()); - } + // per-arch hparams + load_arch_hparams(ml); pimpl->n_bytes = ml.n_bytes; @@ -2979,13 +1151,13 @@ void llama_model::load_hparams(llama_model_loader & ml) { hparams.rope_type = llama_model_rope_type(this); } -void llama_model::load_vocab(llama_model_loader & ml) { +void llama_model_base::load_vocab(llama_model_loader & ml) { const auto kv = LLM_KV(arch); vocab.load(ml, kv); } -bool llama_model::load_tensors(llama_model_loader & ml) { +bool llama_model_base::load_tensors(llama_model_loader & ml) { const auto & split_mode = params.split_mode; const auto & use_mlock = params.use_mlock; const auto & tensor_split = params.tensor_split; @@ -2995,6 +1167,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const bool use_mmap_buffer = true; + this->ml = &ml; // to be used by create_tensor() and load_arch_tensors() + LLAMA_LOG_INFO("%s: loading model tensors, this can take a while... (mmap = %s, direct_io = %s)\n", __func__, ml.use_mmap ? "true" : "false", ml.use_direct_io ? "true" : "false"); @@ -3072,4721 +1246,25 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // assign the output layer pimpl->dev_output = get_layer_buft_list(n_layer); - const auto TENSOR_DUPLICATED = llama_model_loader::TENSOR_DUPLICATED; - const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED; - const auto TENSOR_SKIP = llama_model_loader::TENSOR_SKIP; - const auto TENSOR_SKIP_IF_VIRTUAL = llama_model_loader::TENSOR_SKIP_IF_VIRTUAL; + const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED; // create tensors for the weights { - // note: cast to int64_t since we will use these for the tensor dimensions - const int64_t n_head = hparams.n_head(); - const int64_t n_head_kv = hparams.n_head_kv(); - const int64_t n_embd = hparams.n_embd; - const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(); - const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa(); - const int64_t n_embd_head_k = hparams.n_embd_head_k(); - const int64_t n_embd_head_v = hparams.n_embd_head_v(); - const int64_t n_ff = hparams.n_ff(); - const int64_t n_embd_gqa = n_embd_v_gqa; - const int64_t n_vocab = vocab.n_tokens(); - const int64_t n_token_types = vocab.n_token_types(); - const int64_t n_rot = hparams.n_rot(); - const int64_t n_expert = hparams.n_expert; - const int64_t n_expert_used = hparams.n_expert_used; - const int64_t n_ctx_train = hparams.n_ctx_train; - - if (n_expert > 0 && hparams.n_expert_used == 0) { - throw std::runtime_error("model has expert layers but no expert layers are used"); - } - - auto create_tensor = [&](const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags) -> ggml_tensor * { - const buft_list_t * buft_list_layer = tn.bid == -1 ? nullptr : pimpl->dev_layer.at(tn.bid).buft_list; - return ml.create_tensor( - hparams, &pimpl->cpu_buft_list, pimpl->dev_input.buft_list, pimpl->dev_output.buft_list, buft_list_layer, - tn, ne, flags); - }; - - layers.resize(n_layer); - // TODO: move to a separate function const auto tn = LLM_TN(arch); - // helper: try merged gate_up_exps first, fall back to separate gate and up - auto create_tensor_gate_up_exps = [&](llama_layer & layer, int bid, int64_t n_embd_, int64_t n_ff_, int64_t n_expert_, int flags) { - layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", bid), {n_embd_, n_ff_ * 2, n_expert_}, TENSOR_NOT_REQUIRED); - if (layer.ffn_gate_up_exps == nullptr) { - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags); - } - }; + const int64_t n_expert = hparams.n_expert; + const int64_t n_expert_used = hparams.n_expert_used; - // helper: try to load merged qkv first, fall back to separate q, k, v - auto create_tensor_qkv = [&](llama_layer & layer, int bid, - int64_t n_embd_, int64_t n_embd_q_, int64_t n_embd_k_, int64_t n_embd_v_, - int flags) { - const int64_t n_embd_qkv = n_embd_q_ + n_embd_k_ + n_embd_v_; - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", bid), {n_embd_, n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); - if (layer.wqkv) { - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", bid), {n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); - } else { - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", bid), {n_embd_, n_embd_q_}, flags); - layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", bid), {n_embd_, n_embd_k_}, flags); - layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", bid), {n_embd_, n_embd_v_}, flags); - layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", bid), {n_embd_q_}, TENSOR_NOT_REQUIRED); - layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", bid), {n_embd_k_}, TENSOR_NOT_REQUIRED); - layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", bid), {n_embd_v_}, TENSOR_NOT_REQUIRED); - } - }; - - switch (arch) { - case LLM_ARCH_LLAMA: - case LLM_ARCH_REFACT: - case LLM_ARCH_MINICPM: - case LLM_ARCH_GRANITE: - case LLM_ARCH_GRANITE_MOE: - case LLM_ARCH_MISTRAL3: - case LLM_ARCH_LLAMA_EMBED: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - // optional bias tensors - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - else { - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - - if (n_expert == 0) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - - // optional MLP bias - layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - } else { - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - - // For Granite MoE Shared - if (hparams.n_ff_shexp > 0) { - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); - } - } - } - } break; - case LLM_ARCH_LLADA: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = - create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - - // Use separate Q, K, V projections without bias, matching LLaDALlamaBlock - layer.wq = - create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0); - layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, 0); - layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, 0); - // No bias for QKV projections as per config: include_bias=false, include_qkv_bias=false - layer.wo = - create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); - - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot / 2 }, - TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0); - - // optional MLP bias - layer.ffn_gate_b = - create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED); - layer.ffn_down_b = - create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED); - } - } - break; - case LLM_ARCH_LLADA_MOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for llada-moe"); - GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for llada-moe"); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - } - } break; - case LLM_ARCH_LLAMA4: - { - if (n_expert == 0) { - throw std::runtime_error(arch_name() + " model cannot have zero experts"); - } - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - const bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0; - - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - - if (is_moe_layer) { - const int64_t n_ff_exp = hparams.n_ff_exp; - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - - // Shared expert - const int64_t n_ff_shexp = n_ff_exp; - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd }, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); - } else { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } - } break; - case LLM_ARCH_DECI: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(i); - const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa(i); - const int64_t n_ff = hparams.n_ff(i); - const int64_t n_head = hparams.n_head(i); - const int64_t n_head_kv = hparams.n_head_kv(i); - - if (n_head_kv == 0 && n_head > 0) { - // linear attention for DeciLMCausalModel - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - } - else if (n_head_kv > 0) { - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - } - - // optional bias tensors - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - if (n_ff > 0) { - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - } - - if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - else { - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - - if (n_ff > 0) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - - // optional MLP bias - layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_MINICPM3: - { - const int64_t n_embd_head_qk_rope = hparams.n_rot(); - const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); - - const int64_t q_lora_rank = hparams.n_lora_q; - const int64_t kv_lora_rank = hparams.n_lora_kv; - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0); - - layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); - - layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0); - layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k}, 0); - - layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0); - layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_head * ( n_embd_head_v), n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - } break; - case LLM_ARCH_GROK: - { - if (n_expert == 0) { - throw std::runtime_error(arch_name() + " model cannot have zero experts"); - } - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff/* / n_expert_used*/; // grok-1 n_ff_exp == n_ff - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - if (!layer.ffn_post_norm) { - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - } - } - } break; - case LLM_ARCH_DBRX: - { - if (n_expert == 0) { - throw std::runtime_error("DBRX model cannot have zero experts"); - } - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - } - } break; - case LLM_ARCH_BAICHUAN: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - { - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_FALCON: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - { - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU - } - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_STARCODER: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); - - // output - { - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - // needs to be on GPU - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - } - } break; - case LLM_ARCH_BERT: - case LLM_ARCH_NOMIC_BERT: - case LLM_ARCH_NOMIC_BERT_MOE: - case LLM_ARCH_JINA_BERT_V3: - { - if (n_token_types == 0) { - throw std::runtime_error(arch_name() + " model needs to define token type count"); - } - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED); - - if (arch == LLM_ARCH_BERT) { - pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); - - cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); - cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); - - cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); - cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); - } - - tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); - tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); - layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i), {n_embd}, 0); - - if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) { - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - } else { - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - if (arch == LLM_ARCH_NOMIC_BERT) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - } - } - - layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0); - layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_MODERN_BERT: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - for(int i = 0; i < n_layer; ++i) { - auto& layer = layers[i]; - - if ( i != 0 ) { - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - } else{ - // layer 0 uses identity - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - } - - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, 3 * n_embd }, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, 2 * n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - } - - cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); - cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); - cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); - cls_norm = create_tensor(tn(LLM_TENSOR_CLS_NORM, "weight"), {n_embd}, TENSOR_NOT_REQUIRED); - - } break; - case LLM_ARCH_NEO_BERT: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); - cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); - - cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); - cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); - - output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff*2}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - } - } break; - case LLM_ARCH_EUROBERT: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - } - } break; - case LLM_ARCH_JINA_BERT_V2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); // word_embeddings - type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, 0); // token_type_embeddings - - tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); // LayerNorm - tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); // LayerNorm bias - - cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, 1}, TENSOR_NOT_REQUIRED); - cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {1}, TENSOR_NOT_REQUIRED); - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; // JinaBertLayer - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); //output_dens - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); //output_dens - - layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); //output_norm - layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i), {n_embd}, 0); - - layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - - const auto tn_ffn_up_weight = tn(LLM_TENSOR_FFN_UP, "weight", i); - ggml_tensor * t_ffn_up = ml.get_tensor_meta(tn_ffn_up_weight.str().c_str()); - const int64_t n_ffn_up = t_ffn_up ? t_ffn_up->ne[1] : n_ff; - - GGML_ASSERT(n_ffn_up == n_ff || n_ffn_up == n_ff * 2); - layer.ffn_up = create_tensor(tn_ffn_up_weight, {n_embd, n_ffn_up}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ffn_up}, TENSOR_NOT_REQUIRED); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0); - layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_BLOOM: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); - tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - } - } break; - case LLM_ARCH_MPT: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, TENSOR_NOT_REQUIRED); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - - // FIXME test-llama-archs crashes if q_norm is created - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); - layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - // AWQ ScaleActivation layer - layer.ffn_act = create_tensor(tn(LLM_TENSOR_FFN_ACT, "scales", i), {n_ff}, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_STABLELM: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - // optional q and k layernorms, present in StableLM 2 12B - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, TENSOR_NOT_REQUIRED); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED); - - // optional FFN norm, not present in StableLM 2 12B which uses parallel residual - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_QWEN: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd*3}, 0); - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd*3}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff/2}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff/2, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff/2}, 0); - } - } break; - case LLM_ARCH_QWEN2: - case LLM_ARCH_QWEN2VL: - case LLM_ARCH_DREAM: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_QWEN2MOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0 for QWEN2MOE"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0 for QWEN2MOE"); - } - - // MoE branch - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - - // Shared expert branch - const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff; - - layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), {n_embd}, 0); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); - } - } break; - case LLM_ARCH_QWEN3: - case LLM_ARCH_QWEN3VL: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - // output rerank head - cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_QWEN3MOE: - case LLM_ARCH_QWEN3VLMOE: - case LLM_ARCH_RND1: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0 for QWEN3MOE"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE"); - } - - // MoE branch - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - } - } break; - case LLM_ARCH_PHI2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - } - } break; - case LLM_ARCH_PHI3: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, TENSOR_NOT_REQUIRED); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, 2 * n_ff }, 0); - - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - } break; - case LLM_ARCH_PHIMOE: - { - const int64_t n_embd_head = n_embd / n_head; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, 0); - output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), { n_vocab }, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), { n_embd }, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), { n_embd }, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - } break; - case LLM_ARCH_PLAMO: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_PLAMO2: - { - // mamba parameters - const uint32_t d_conv = hparams.ssm_d_conv; - const uint32_t d_state = hparams.ssm_d_state; - const uint32_t num_heads = hparams.ssm_dt_rank; - const uint32_t intermediate_size = hparams.ssm_d_inner; - const int64_t dt_dim = std::max(64, int(hparams.n_embd / 16)); - - // attention parameters - const uint32_t qk_dim = hparams.n_embd_head_k(); - const uint32_t v_dim = hparams.n_embd_head_v(); - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - bool is_mamba_layer = hparams.is_recurrent(i); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - if (is_mamba_layer) { - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2 * intermediate_size}, 0); - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, intermediate_size}, 0); - - layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {intermediate_size, dt_dim + 2*d_state}, 0); - layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_dim, num_heads}, 0); - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {num_heads}, 0); - - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {num_heads}, 0); - layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {num_heads}, 0); - - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {intermediate_size, n_embd}, 0); - - layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, i), {dt_dim}, 0); - layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, i), {d_state}, 0); - layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, i), {d_state}, 0); - } else { - const int64_t num_attention_heads = hparams.n_head(i); - const int64_t q_num_heads = num_attention_heads; - const int64_t num_key_value_heads = hparams.n_head_kv(i); - const int64_t k_num_heads = num_key_value_heads; - const int64_t v_num_heads = num_key_value_heads; - const int64_t q_proj_dim = q_num_heads * qk_dim; - const int64_t k_proj_dim = k_num_heads * qk_dim; - const int64_t v_proj_dim = v_num_heads * v_dim; - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, q_proj_dim + k_proj_dim + v_proj_dim}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {qk_dim, num_attention_heads}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {qk_dim, k_num_heads}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {q_num_heads * v_dim, n_embd}, 0); - } - - // All layers have post-attention norm, FFN norm, and FFN tensors - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0); - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff * 2}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0); - } - } break; - case LLM_ARCH_PLAMO3: - { - const int64_t head_dim_q = hparams.n_embd_head_k(); - const int64_t head_dim_v = hparams.n_embd_head_v(); - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - const int64_t num_attention_heads = hparams.n_head(i); - const int64_t num_key_value_heads = hparams.n_head_kv(i); - const int64_t q_proj_dim = num_attention_heads * head_dim_q; - const int64_t k_proj_dim = num_key_value_heads * head_dim_q; - const int64_t v_proj_dim = num_key_value_heads * head_dim_v; - const int64_t n_ff_cur = hparams.n_ff(i); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), - {n_embd,q_proj_dim + k_proj_dim + v_proj_dim}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {head_dim_q}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {head_dim_q}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {num_attention_heads * head_dim_v, n_embd}, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff_cur * 2}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0); - } - } break; - case LLM_ARCH_GPT2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - } - } break; - case LLM_ARCH_CODESHELL: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if tok embd is NULL, init from output - if (tok_embd == NULL) { - tok_embd = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - } - } break; - case LLM_ARCH_ORION: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_INTERNLM2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - // layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_GEMMA: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - } - } break; - case LLM_ARCH_GEMMA2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_GEMMA3: - case LLM_ARCH_GEMMA_EMBEDDING: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - // Dense linear weights - dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.dense_2_feat_out}, TENSOR_NOT_REQUIRED); - dense_3_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_3_OUT, "weight"), {hparams.dense_3_feat_in, n_embd}, TENSOR_NOT_REQUIRED); - - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_GEMMA3N: - { - const int64_t n_altup = hparams.n_altup; - const int64_t laurel_rank = hparams.laurel_rank; - const int64_t n_embd_altup = hparams.n_embd_altup; - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - altup_proj = create_tensor(tn(LLM_TENSOR_ALTUP_PROJ, "weight"), {n_embd, n_embd, n_altup - 1}, 0); - altup_unembd_proj = create_tensor(tn(LLM_TENSOR_ALTUP_UNEMBD_PROJ, "weight"), {n_embd, n_embd, n_altup - 1}, 0); - - per_layer_tok_embd = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_altup * n_layer, n_vocab}, 0); - per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_altup * n_layer}, 0); - per_layer_proj_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM, "weight", 0), {n_embd_altup}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - - // altup & laurel - layer.per_layer_inp_gate = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE, "weight", i), {n_embd, n_embd_altup}, 0); - layer.per_layer_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ, "weight", i), {n_embd_altup, n_embd}, 0); - layer.per_layer_post_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0); - layer.altup_correct_coef = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_COEF, "weight", i), {n_altup, n_altup}, 0); - layer.altup_correct_scale = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_SCALE, "weight", i), {n_embd}, 0); - layer.altup_predict_coef = create_tensor(tn(LLM_TENSOR_ALTUP_PREDICT_COEF, "weight", i), {n_altup, n_altup * n_altup}, 0); - layer.altup_router = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER, "weight", i), {n_embd, n_altup}, 0); - layer.altup_router_norm = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER_NORM, "weight", i), {n_embd}, 0); - layer.laurel_l = create_tensor(tn(LLM_TENSOR_LAUREL_L, "weight", i), {n_embd, laurel_rank}, 0); - layer.laurel_r = create_tensor(tn(LLM_TENSOR_LAUREL_R, "weight", i), {laurel_rank, n_embd}, 0); - layer.laurel_post_norm = create_tensor(tn(LLM_TENSOR_LAUREL_POST_NORM, "weight", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_GEMMA4: - { - const uint32_t n_embd_per_layer = hparams.n_embd_per_layer; - const int64_t n_ff_exp = hparams.n_ff_exp; - - if (n_embd_head_k != n_embd_head_v) { - throw std::runtime_error("Gemma 4 requires n_embd_head_k == n_embd_head_v"); - } - if (hparams.n_embd_head_k_swa != hparams.n_embd_head_v_swa) { - throw std::runtime_error("Gemma 4 requires n_embd_head_k_swa == n_embd_head_v_swa"); - } - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - if (n_embd_per_layer > 0) { - per_layer_tok_embd = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_per_layer * n_layer, n_vocab}, 0); - per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_per_layer * n_layer}, 0); - per_layer_proj_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM, "weight", 0), {n_embd_per_layer}, 0); - } - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - int rope_freqs_flag = 0; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - const int64_t n_head = hparams.n_head(i); - const int64_t n_embd_head = hparams.n_embd_head_k(i); - const int64_t n_embd_k = hparams.n_embd_k_gqa(i); - const int64_t n_embd_v = hparams.n_embd_v_gqa(i); - const int kv_flags = hparams.has_kv(i) ? 0 : TENSOR_NOT_REQUIRED; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - // note: use_alternative_attention (v_proj is optional, if it's not present, use k_proj) - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head * n_head}, 0); - layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k}, kv_flags); - layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v}, TENSOR_NOT_REQUIRED); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head * n_head, n_embd}, 0); - - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head}, kv_flags); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - - layer.out_scale = create_tensor(tn(LLM_TENSOR_LAYER_OUT_SCALE, "weight", i), {1u}, TENSOR_NOT_REQUIRED); - - if (!hparams.is_swa(i)) { - // full_attention layers use rope_freqs for proportional rope - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_embd_head/2}, rope_freqs_flag); - rope_freqs_flag = TENSOR_DUPLICATED; - } - - // handle use_double_wide_mlp - int64_t n_ff_cur = hparams.n_ff(i); - - // for expert layers, we use normal FFN as shared expert (same as python code) - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff_cur}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff_cur}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - - // MoE router - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED); - bool has_expert = layer.ffn_gate_inp != nullptr; - - // norm - if (has_expert) { - layer.ffn_gate_inp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "scale", i), {n_embd}, 0); - - layer.ffn_pre_norm_2 = create_tensor(tn(LLM_TENSOR_FFN_PRE_NORM_2, "weight", i), {n_embd}, 0); - layer.ffn_post_norm_1 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_1, "weight", i), {n_embd}, 0); - layer.ffn_post_norm_2 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_2, "weight", i), {n_embd}, 0); - - // MoE FFN - layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", i), {n_embd, n_ff_exp * 2, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - - // per-expert scale will be loaded as down_exps_s at the end of the current switch case - } - - // per-layer embeddings - if (n_embd_per_layer > 0) { - layer.per_layer_inp_gate = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE, "weight", i), {n_embd, n_embd_per_layer}, 0); - layer.per_layer_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ, "weight", i), {n_embd_per_layer, n_embd}, 0); - layer.per_layer_post_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0); - } - } - } break; - case LLM_ARCH_STARCODER2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - // optional bias tensors - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - - // optional bias tensors - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP , "bias", i), { n_ff}, 0); - } - } break; - case LLM_ARCH_MAMBA: - { - const int64_t d_conv = hparams.ssm_d_conv; - const int64_t d_inner = hparams.ssm_d_inner; - const int64_t d_state = hparams.ssm_d_state; - const int64_t dt_rank = hparams.ssm_dt_rank; - - // only an expansion factor of 2 is supported for now - if (2 * n_embd != d_inner) { - throw std::runtime_error("only an expansion factor of 2 is supported for now"); - } - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed, duplicated to allow offloading - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - // norm - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0); - - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0); - layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0); - - layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0); - - layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0); - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0); - - // no "weight" suffix for these - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0); - layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0); - - // out_proj - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); - } - } break; - case LLM_ARCH_MAMBA2: - { - const int64_t d_conv = hparams.ssm_d_conv; - const int64_t d_inner = hparams.ssm_d_inner; - const int64_t d_state = hparams.ssm_d_state; - const int64_t n_head = hparams.ssm_dt_rank; - const int64_t n_group = hparams.ssm_n_group; - const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_head; - - // only an expansion factor of 2 is supported for now - GGML_ASSERT(2 * n_embd == d_inner); - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - { - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed, duplicated to allow offloading - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - // norm - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0); - - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0); - layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, 0); - - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_head}, 0); - - // no "weight" suffix for these - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0); - layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_head}, 0); - - layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0); - - // out_proj - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); - } - } break; - case LLM_ARCH_JAMBA: - { - const int64_t d_conv = hparams.ssm_d_conv; - const int64_t d_inner = hparams.ssm_d_inner; - const int64_t d_state = hparams.ssm_d_state; - const int64_t dt_rank = hparams.ssm_dt_rank; - - // only an expansion factor of 2 is supported for now - GGML_ASSERT(2 * n_embd == d_inner); - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - { - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed, duplicated to allow offloading - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - } - - for (int i = 0; i < n_layer; ++i) { - const int64_t n_head_kv = hparams.n_head_kv(i); - const int64_t n_embd_gqa = hparams.n_embd_v_gqa(i); - - auto & layer = layers[i]; - - // norm - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - if (n_head_kv == 0) { - // Mamba layer - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0); - - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0); - layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0); - - layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0); - - layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, "weight", i), {dt_rank}, 0); - - layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0); - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0); - - layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, "weight", i), {d_state}, 0); - layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, "weight", i), {d_state}, 0); - - // no "weight" suffix for these - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0); - layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0); - - // out_proj - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); - } else { - // Attention layers - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - } - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED); - - if (layer.ffn_gate_inp) { - // MoE - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - } else { - // FFN (no MoE) - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } - } break; - case LLM_ARCH_GRANITE_HYBRID: - { - // mamba2 Mixer SSM params - // NOTE: int64_t for tensor dimensions - const int64_t d_conv = hparams.ssm_d_conv; - const int64_t d_inner = hparams.ssm_d_inner; - const int64_t d_state = hparams.ssm_d_state; - const int64_t n_ssm_head = hparams.ssm_dt_rank; - const int64_t n_group = hparams.ssm_n_group; - const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_ssm_head; - - // only an expansion factor of 2 is supported for now - GGML_ASSERT(2 * n_embd == d_inner); - - // embeddings - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - { - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed, duplicated to allow offloading - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - // norm - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - if (hparams.is_recurrent(i)) { - // ssm layers - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0); - - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0); - layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED); - - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0); - - // no "weight" suffix for these - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0); - layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0); - - layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0); - - // out_proj - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); - } else { - // attention layers (with optional bias) - const int64_t n_head_i = hparams.n_head(i); - const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i); - const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i); - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - } - - // feed forward (w/ optional biases) - if (n_expert > 0) { - // MoE FFN - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - - // For Granite MoE Shared - if (hparams.n_ff_shexp > 0) { - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); - } - } else { - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - } - } - } break; - case LLM_ARCH_XVERSE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_COMMAND_R: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - // init output from the input tok embed - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - if (n_layer >= 64){ - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0); - } - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_COHERE2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - // init output from the input tok embed - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, - TENSOR_DUPLICATED); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0); - } - } - break; - case LLM_ARCH_OLMO: // adapted from LLM_ARCH_LLAMA with norm params removed - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_OLMO2: - { - const int64_t n_embd_head = n_embd / n_head; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_head_kv * n_embd_head}, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_SEED_OSS: - { - const uint32_t head_dim = hparams.n_embd_head_k(); - const int64_t n_qo_dim = n_head * head_dim; - const int64_t n_kv_dim = n_head_kv * head_dim; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, 0); - - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - } - } break; - - case LLM_ARCH_OLMOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - // MoE branch - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - } - } break; - case LLM_ARCH_OPENELM: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - // init output from the input tok embed - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - - for (int i = 0; i < n_layer; ++i) { - const int64_t n_head = hparams.n_head(i); - const int64_t n_head_qkv = 2*hparams.n_head_kv(i) + n_head; - const int64_t n_ff = hparams.n_ff(i); - - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_head_qkv*n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head*n_embd_head_k, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_GPTNEOX: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - } - } break; - case LLM_ARCH_ARCTIC: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_embd}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_embd, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_norm_exps = create_tensor(tn(LLM_TENSOR_FFN_NORM_EXPS, "weight", i), {n_embd}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, false); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - } - } break; - case LLM_ARCH_DEEPSEEK: - { - - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - // try to load output.weight, if not found, use token_embd (tied embeddings) - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - if (i < (int) hparams.n_layer_dense_lead) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } else { - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - // MoE branch - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - - // Shared expert branch - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - } - } - } break; - case LLM_ARCH_DEEPSEEK2: - case LLM_ARCH_MISTRAL4: - { - const bool is_mla = hparams.is_mla(); - - // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA - const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); - const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); - - const int64_t n_embd_head_qk_rope = hparams.n_rot(); - const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; - GGML_ASSERT(n_embd_head_qk_nope >= 1); - - const int64_t q_lora_rank = hparams.n_lora_q; - const int64_t kv_lora_rank = hparams.n_lora_kv; - - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - // try to load output.weight, if not found, use token_embd (tied embeddings) - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - if (q_lora_rank > 0) { - layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0); - } - - layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); - - if (q_lora_rank > 0) { - layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0); - layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0); - } else { - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0); - } - - layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, 0); - - // note: only old legacy GGUF files will have the unsplit wkv_b tensor in - if (is_mla) { - layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, 0); - layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0); - } else { - layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v_mla)}, 0); - } - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - if (i < (int) hparams.n_layer_dense_lead) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } else { - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - // MoE branch - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); - - // Shared expert branch - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - } - } - } break; - case LLM_ARCH_DEEPSEEK2OCR: - { - // similar to deepseek2, but without MLA - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - // try to load output.weight, if not found, use token_embd (tied embeddings) - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0); - layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd}, 0); - layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - // norm - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - if (i < (int) hparams.n_layer_dense_lead) { - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - } else { - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - // MoE branch - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); - - // Shared expert branch - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - } - } - } break; - case LLM_ARCH_PLM: - { - const int64_t n_embd_head_qk_rope = hparams.n_rot(); - const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); - const int64_t kv_lora_rank = hparams.n_lora_kv; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - // output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0); - layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0); - layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); - layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_head * ( n_embd_head_v), n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_BITNET: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_sub_norm = create_tensor(tn(LLM_TENSOR_ATTN_SUB_NORM, "weight", i), {n_embd}, 0); - - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0); - layer.wq_s = create_tensor(tn(LLM_TENSOR_ATTN_Q, "scale", i), {1}, TENSOR_NOT_REQUIRED); - layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0); - layer.wk_s = create_tensor(tn(LLM_TENSOR_ATTN_K, "scale", i), {1}, TENSOR_NOT_REQUIRED); - layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0); - layer.wv_s = create_tensor(tn(LLM_TENSOR_ATTN_V, "scale", i), {1}, TENSOR_NOT_REQUIRED); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_sub_norm = create_tensor(tn(LLM_TENSOR_FFN_SUB_NORM, "weight", i), {n_ff}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_T5: - { - const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm = create_tensor(tn(LLM_TENSOR_DEC_OUTPUT_NORM, "weight"), {n_embd}, 0); - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - // n_layer: number of encoder_layers - // dec_n_layer: number of decoder_layers - const int dec_n_layer = hparams.dec_n_layer; - if (dec_n_layer > n_layer) { - layers.resize(dec_n_layer); - } - - // load encoder layers - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); - - layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); - layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); - - layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - - // load decoder layers - for (int i = 0; i < dec_n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_DEC_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_rel_b = create_tensor(tn(LLM_TENSOR_DEC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); - - layer.wq = create_tensor(tn(LLM_TENSOR_DEC_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wk = create_tensor(tn(LLM_TENSOR_DEC_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wv = create_tensor(tn(LLM_TENSOR_DEC_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_DEC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); - - layer.attn_norm_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_NORM, "weight", i), {n_embd}, 0); - // this tensor seems to be unused in HF transformers implementation - layer.attn_rel_b_cross = create_tensor( - tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); - - layer.wq_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wk_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wv_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); - layer.wo_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_DEC_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_DEC_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_DEC_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_DEC_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_T5ENCODER: - { - const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); - - layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); - layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); - - layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_JAIS: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); - layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - } - } break; - case LLM_ARCH_JAIS2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0); - layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); - layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - // attention biases - all have shape n_embd (output dimension of projections) - layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, 0); - layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd}, 0); - layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - // Jais-2 uses simple MLP (no gate) with biases - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_CHATGLM: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff * 2}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - } - } break; - case LLM_ARCH_GLM4: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - int flags = 0; - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - // skip all tensors in the NextN layers - flags |= TENSOR_SKIP; - } - - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags); - - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, flags); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, flags); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff * 2}, flags); - - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, flags); - - // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); - layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); - layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); - - // Optional tensors - layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); - layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); - layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED); - } - } - } break; - case LLM_ARCH_GLM4_MOE: - { - const int64_t n_expert = hparams.n_expert; - const int64_t n_expert_used = hparams.n_expert_used; - const int64_t n_expert_shared = hparams.n_expert_shared; - - GGML_ASSERT(hparams.n_expert > 0 && "n_expert must be > 0 for GLM4_MOE MoE layers"); - GGML_ASSERT(hparams.n_expert_used > 0 && "n_expert_used must be > 0 for GLM4_MOE MoE layers"); - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); - } - - // Load ALL tensors including NextN layer to satisfy total tensor count - // but only PROCESS up to last layer (skipping final NextN layer) in forward pass - for (int i = 0; i < n_layer; ++i) { - int flags = 0; - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - // skip all tensors in the NextN layers - flags |= TENSOR_SKIP; - } - - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, flags); - - // GLM-style attention with bias terms - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, flags); - - // K/Q norm tensors (optional for GLM-4.5 355B variant) - layer.attn_q_norm = create_tensor( - tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags); - layer.attn_k_norm = create_tensor( - tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags); - - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, flags); - - // Check if this layer uses MoE or dense FFN based on n_layer_dense_lead - // GLM 4.5 uses hybrid architecture: layer 0 is dense, layers 1+ are MoE - const bool use_moe = (static_cast(i) >= hparams.n_layer_dense_lead); - - if (use_moe) { - // MoE layers - layer.ffn_gate_inp = - create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, flags); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), { n_expert }, flags); - - // MoE branch - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - - layer.ffn_gate_exps = create_tensor( - tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags); - layer.ffn_down_exps = create_tensor( - tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, flags); - layer.ffn_up_exps = create_tensor( - tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags); - - // Shared expert - if (n_expert_shared > 0) { - const int64_t n_ff_shexp = n_ff_exp * n_expert_shared; - layer.ffn_gate_shexp = create_tensor( - tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags); - layer.ffn_down_shexp = create_tensor( - tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, flags); - layer.ffn_up_shexp = create_tensor( - tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags); - } - } else { - // Dense layers (first k layers) - GLM uses separate gate/up projections - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, flags); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, flags); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, flags); - } - - // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); - layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); - layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); - - // Optional tensors - layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); - layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); - layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED); - } - } - } - break; - case LLM_ARCH_GLM_DSA: - { - const bool is_mla = hparams.is_mla(); - if (!is_mla) { - throw std::runtime_error("GLM_DSA architecture requires MLA"); - } - - // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA - const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); - const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); - - const int64_t n_embd_head_qk_rope = hparams.n_rot(); - const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; - - const int64_t q_lora_rank = hparams.n_lora_q; - const int64_t kv_lora_rank = hparams.n_lora_kv; - - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - // try to load output.weight, if not found, use token_embd (tied embeddings) - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - if (!output) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - int flags = 0; - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - // skip all tensors in the NextN layers - // TODO @ngxson : TENSOR_NOT_REQUIRED was a hack, need to remove it later - flags |= TENSOR_SKIP | TENSOR_NOT_REQUIRED; - } - - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); - layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, flags); - layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, flags); - - layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, flags); - layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, flags); - - layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, flags); - - // note: only old legacy GGUF files will have the unsplit wkv_b tensor in - layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, flags); - layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, flags); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, flags); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); - - // DSA indexer - layer.indexer_k_norm = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM, "weight", i), {hparams.indexer_head_size}, flags); - layer.indexer_k_norm_b = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM, "bias", i), {hparams.indexer_head_size}, flags); - layer.indexer_proj = create_tensor(tn(LLM_TENSOR_INDEXER_PROJ, "weight", i), {n_embd, hparams.indexer_n_head}, flags); - layer.indexer_attn_k = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_K, "weight", i), {n_embd, hparams.indexer_head_size}, flags); - layer.indexer_attn_q_b = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_Q_B, "weight", i), {q_lora_rank, hparams.indexer_n_head * hparams.indexer_head_size}, flags); - if (i < (int) hparams.n_layer_dense_lead) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, flags); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, flags); - } else { - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - // MoE branch - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, flags); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); - - // Shared expert branch - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, flags); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags); - } - - // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); - layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); - layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); - - // Optional tensors - layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); - layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); - layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED); - } - } - } break; - case LLM_ARCH_NEMOTRON: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - // optional bias tensors - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - - // optional MLP bias - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_NEMOTRON_H: - case LLM_ARCH_NEMOTRON_H_MOE: - { - // mamba2 Mixer SSM params - // NOTE: int64_t for tensor dimensions - const int64_t d_conv = hparams.ssm_d_conv; - const int64_t d_inner = hparams.ssm_d_inner; - const int64_t d_state = hparams.ssm_d_state; - const int64_t n_ssm_head = hparams.ssm_dt_rank; - const int64_t n_group = hparams.ssm_n_group; - const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_ssm_head; - const int64_t moe_n_embd = hparams.moe_latent_size > 0 ? hparams.moe_latent_size : n_embd; - - // embeddings - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - { - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed, duplicated to allow offloading - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - // all blocks use the attn norm - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - if (hparams.is_recurrent(i)) { - // ssm layers - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0); - - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0); - layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED); - - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0); - - // no "weight" suffix for these - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0); - layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0); - - layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0); - - // out_proj - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); - } else if (hparams.n_ff(i) == 0) { - // attention layers (with optional bias) - const int64_t n_head_i = hparams.n_head(i); - const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i); - const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i); - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - } else { - if (n_expert != 0) { - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - const int64_t n_ff_shexp = hparams.n_ff_shexp; - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert }, 0); - - // MoE branch - layer.ffn_latent_down = create_tensor(tn(LLM_TENSOR_FFN_LATENT_DOWN, "weight", i), {n_embd, moe_n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_latent_up = create_tensor(tn(LLM_TENSOR_FFN_LATENT_UP, "weight", i), {moe_n_embd, n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, moe_n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {moe_n_embd, n_ff_exp, n_expert}, 0); - - // Shared expert branch - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); - - } else { - // mlp layers - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { hparams.n_ff(i), n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, hparams.n_ff(i)}, 0); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {hparams.n_ff(i)}, TENSOR_NOT_REQUIRED); - } - } - } - } break; - case LLM_ARCH_EXAONE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_EXAONE4: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - } - } break; - case LLM_ARCH_EXAONE_MOE: - { - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert = hparams.n_expert; - const int64_t n_expert_used = hparams.n_expert_used; - const int64_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : n_ff_exp; - const int64_t head_dim = hparams.n_embd_head_k(); - const int64_t n_qo_dim = n_head * head_dim; - const int64_t n_kv_dim = n_head_kv * head_dim; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - int flags = 0; - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - // skip all tensors in the NextN layers - flags |= TENSOR_SKIP; - } - - auto & layer = layers[i]; - create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, flags); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, flags); - - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0) | flags); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); - - // dense layers for first n_layer_dense_lead layers or nextn_predict_layers layers at the end - if (i < (int) hparams.n_layer_dense_lead || (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers)) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, flags); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, flags); - } else { - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, flags); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, flags); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, flags); - - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); - } - - // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), {2 * n_embd, n_embd}, flags); - layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), {n_embd}, flags); - layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), {n_embd}, flags); - - layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), {n_embd}, flags | TENSOR_NOT_REQUIRED); - layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED); - layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED); - } - } - } break; - case LLM_ARCH_RWKV6: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // Block 0, LN0 - tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); - tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - const int time_mix_extra_dim = hparams.time_mix_extra_dim; - const int time_decay_extra_dim = hparams.time_decay_extra_dim; - const int head_size = hparams.wkv_head_size; - const int attn_hidden_size = n_embd; - const int ffn_size = hparams.n_ff_arr[0]; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0); - layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, 0); - - layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0); - layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0); - - layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0); - layer.time_mix_lerp_w = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_W, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); - layer.time_mix_lerp_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); - layer.time_mix_lerp_v = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_V, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); - layer.time_mix_lerp_r = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); - layer.time_mix_lerp_g = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_G, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); - layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, TENSOR_NOT_REQUIRED); - GGML_ASSERT(!(layer.time_mix_lerp_fused == NULL && layer.time_mix_lerp_w == NULL)); - - layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, 0); - layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0); - layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0); - layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0); - layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0); - - layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0); - layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0); - layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); - - layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0); - layer.channel_mix_lerp_r = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, 0); - - layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0); - layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0); - layer.channel_mix_receptance = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, "weight", i), {n_embd, n_embd}, 0); - } - - } break; - case LLM_ARCH_RWKV6QWEN2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - const int time_mix_extra_dim = hparams.time_mix_extra_dim; - const int time_decay_extra_dim = hparams.time_decay_extra_dim; - const int head_size = hparams.wkv_head_size; - const int attn_hidden_size = n_embd; - const int n_head_kv = hparams.n_head_kv(); - int attn_key_value_size; - if (n_head_kv == 0 || attn_hidden_size / head_size == n_head_kv) { - attn_key_value_size = attn_hidden_size; - } else { - attn_key_value_size = n_head_kv * head_size; - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0); - layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0); - - layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0); - layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0); - - layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, TENSOR_NOT_REQUIRED); - layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0); - layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0); - layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0); - layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {n_embd, attn_key_value_size}, 0); - layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {n_embd, attn_key_value_size}, 0); - layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0); - // optional bias tensors - layer.time_mix_key_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED); - layer.time_mix_value_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED); - layer.time_mix_receptance_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "bias", i), {attn_hidden_size}, TENSOR_NOT_REQUIRED); - - layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_RWKV7: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // Block 0, LN0 - tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); - tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - const int n_lora_decay = hparams.n_lora_decay; - const int n_lora_iclr = hparams.n_lora_iclr; - const int n_lora_value_res_mix = hparams.n_lora_value_res_mix; - const int n_lora_gate = hparams.n_lora_gate; - const int attn_hidden_size = n_embd; - const int ffn_size = hparams.n_ff_arr[0]; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); - - layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0); - layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, 0); - - layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0); - layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0); - layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0); - - layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0); - layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0); - layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0); - - if (i == 0) { - // actually not used - layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); - layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0); - layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0); - } else { - layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); - layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0); - layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0); - } - - layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, 0); - layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, 0); - - layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0); - - layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0); - layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0); - layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0); - - layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); - - layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0); - layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0); - layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); - - layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0); - - layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0); - layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0); - } - - } break; - case LLM_ARCH_ARWKV7: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - const int n_lora_decay = hparams.n_lora_decay; - const int n_lora_iclr = hparams.n_lora_iclr; - const int n_lora_value_res_mix = hparams.n_lora_value_res_mix; - const int n_lora_gate = hparams.n_lora_gate; - const int attn_hidden_size = n_embd; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0); - layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0); - layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0); - - layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0); - layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0); - layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0); - - if (i == 0) { - // actually not used - layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); - layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0); - layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0); - } else { - layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); - layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0); - layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0); - } - - layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, TENSOR_NOT_REQUIRED); - layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, TENSOR_NOT_REQUIRED); - - try { - layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0); - } catch(std::runtime_error & e) { - // ARWKV models may not have gate tensors - layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0); - } - - layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0); - layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0); - layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0); - - layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0); - layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); - - layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - - } break; - case LLM_ARCH_CHAMELEON: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0); - layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd_head_k, n_head}, TENSOR_NOT_REQUIRED); - layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED); - - create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_WAVTOKENIZER_DEC: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hparams.n_embd, n_vocab}, 0); - - conv1d = create_tensor(tn(LLM_TENSOR_CONV1D, "weight", 0), {7, hparams.n_embd, hparams.posnet.n_embd}, 0); - conv1d_b = create_tensor(tn(LLM_TENSOR_CONV1D, "bias", 0), {1, hparams.posnet.n_embd}, 0); - - // posnet - { - const int64_t n_embd = hparams.posnet.n_embd; - - for (uint32_t i = 0; i < hparams.posnet.n_layer; ++i) { - auto & layer = layers[i].posnet; - - // posnet: - // - // - resnet - // - resnet - // - attn - // - resnet - // - resnet - // - norm - // - switch (i) { - case 0: - case 1: - case 3: - case 4: - { - layer.norm1 = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "weight", i), {1, n_embd}, 0); - layer.norm1_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "bias", i), {1, n_embd}, 0); - - layer.conv1 = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "weight", i), {3, n_embd, n_embd}, 0); - layer.conv1_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "bias", i), {1, n_embd}, 0); - - layer.norm2 = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "weight", i), {1, n_embd}, 0); - layer.norm2_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "bias", i), {1, n_embd}, 0); - - layer.conv2 = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "weight", i), {3, n_embd, n_embd}, 0); - layer.conv2_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "bias", i), {1, n_embd}, 0); - } break; - case 2: - { - layer.attn_norm = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0); - layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias", i), {1, n_embd}, 0); - - layer.attn_q = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q, "weight", i), {1, n_embd, n_embd}, 0); - layer.attn_q_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q, "bias", i), {1, n_embd}, 0); - - layer.attn_k = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K, "weight", i), {1, n_embd, n_embd}, 0); - layer.attn_k_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K, "bias", i), {1, n_embd}, 0); - - layer.attn_v = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V, "weight", i), {1, n_embd, n_embd}, 0); - layer.attn_v_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V, "bias", i), {1, n_embd}, 0); - - layer.attn_o = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT, "weight", i), {1, n_embd, n_embd}, 0); - layer.attn_o_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT, "bias", i), {1, n_embd}, 0); - } break; - case 5: - { - layer.norm = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0); - layer.norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias", i), {1, n_embd}, 0); - } break; - default: GGML_ABORT("unknown posnet layer"); - }; - } - } - - GGML_ASSERT(hparams.posnet.n_embd == hparams.convnext.n_embd); - - tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {hparams.posnet.n_embd}, 0); - tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {hparams.posnet.n_embd}, 0); - - // convnext - { - const int64_t n_embd = hparams.convnext.n_embd; - - for (uint32_t i = 0; i < hparams.convnext.n_layer; ++i) { - auto & layer = layers[i].convnext; - - layer.dw = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW, "weight", i), {7, 1, n_embd}, 0); - layer.dw_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW, "bias", i), {1, n_embd}, 0); - - layer.norm = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM, "weight", i), {n_embd}, 0); - layer.norm_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM, "bias", i), {n_embd}, 0); - - layer.pw1 = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1, "weight", i), {n_embd, n_ff}, 0); - layer.pw1_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1, "bias", i), {n_ff}, 0); - - layer.pw2 = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2, "weight", i), {n_ff, n_embd}, 0); - layer.pw2_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2, "bias", i), {n_embd}, 0); - - layer.gamma = create_tensor(tn(LLM_TENSOR_CONVNEXT_GAMMA, "weight", i), {n_embd}, 0); - } - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); - } - - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hparams.convnext.n_embd, hparams.n_embd_out()}, 0); - output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {hparams.n_embd_out()}, 0); - } break; - case LLM_ARCH_BAILINGMOE: - { - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0); - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - } - } break; - case LLM_ARCH_BAILINGMOE2: - { - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for bailingmoe2"); - GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for bailingmoe2"); - - for (int i = 0; i < n_layer; ++i) { - int flags = 0; - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - // skip all tensors in the NextN layers - flags |= TENSOR_SKIP; - } - - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); - - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, flags); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags); - - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); - - if (static_cast(i) >= hparams.n_layer_dense_lead) { // MoE layers - const int64_t n_ff_shexp = (hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff_exp) * n_expert_shared; - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags); - - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, flags); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); - - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); - } else { // Dense layers - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, flags); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, flags); - } - - // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers - if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { - layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); - layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags); - layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); - layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); - layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags); - layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, TENSOR_NOT_REQUIRED | flags); - layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, flags); - } - } - } break; - case LLM_ARCH_DOTS1: - { - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_head_k * n_head, n_embd_head_k * n_head, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - if (i < (int) hparams.n_layer_dense_lead) { - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } else { - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); - - if (n_expert == 0) { - throw std::runtime_error("n_expert must be > 0"); - } - if (n_expert_used == 0) { - throw std::runtime_error("n_expert_used must be > 0"); - } - - // MoE branch - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - - // Shared expert branch - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); - } - } - } break; - case LLM_ARCH_ARCEE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_AFMOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - const int64_t n_ff_exp = hparams.n_ff_exp; - const int64_t n_expert_shared = hparams.n_expert_shared; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - // dual attention normalization - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - - // attention projections - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - // Q/K normalization - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - - // attention gating - layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_embd_head_k * n_head}, 0); - - // dual ffn normalization - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); - - if (static_cast(i) >= hparams.n_layer_dense_lead) { - // MoE layers - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); - - // grouped expert weights - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - - // shared expert - if (n_expert_shared > 0) { - const int64_t n_ff_shexp = n_ff_exp * n_expert_shared; - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); - } - } else { - // Dense layers - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } - } break; - case LLM_ARCH_ERNIE4_5: - case LLM_ARCH_ERNIE4_5_MOE: - case LLM_ARCH_PADDLEOCR: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - // optional bias tensors - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - if (arch == LLM_ARCH_ERNIE4_5_MOE && static_cast(i) >= hparams.n_layer_dense_lead) { // MoE layers - int n_ff_exp = hparams.n_ff_exp; - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - - // Shared expert (if present) - if (hparams.n_ff_shexp > 0) { - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd }, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp}, 0); - } - } else { // Dense layers - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } - } break; - case LLM_ARCH_FALCON_H1: - { - // Common - const int64_t hidden_size = hparams.n_embd; // hidden_size - - // mamba2 Mixer SSM params - const int64_t ssm_conv_kernel_size = hparams.ssm_d_conv; // ssm_conv_kernel_size - const int64_t ssm_n_groups = hparams.ssm_n_group; // ssm_n_groups - const int64_t ssm_state_size = hparams.ssm_d_state; // ssm_state_size - const int64_t ssm_intermediate_size = hparams.ssm_d_inner; // TODO expand - const int64_t ssm_num_heads = hparams.ssm_dt_rank; // ssm_num_heads - const int64_t ssm_conv_dim = ssm_intermediate_size + 2 * ssm_n_groups * ssm_state_size; - const int64_t ssm_projection_size = ssm_intermediate_size + ssm_conv_dim + ssm_num_heads; - - // attn params - const int64_t attn_num_attention_head = hparams.n_head(0); // rename to: attn_num_attention_head - const int64_t attn_num_key_value_head = hparams.n_head_kv(0); - - // ffn params - const int64_t ffn_intermediate_size = hparams.n_ff(0); - - // embeddings - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, 0); - - // output - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hidden_size, n_vocab}, TENSOR_NOT_REQUIRED); - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {hidden_size}, 0); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - /*SSM LAYERS*/ - // ssm in - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {hidden_size, ssm_projection_size}, 0); - // ssm 1d conv - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {ssm_conv_kernel_size, ssm_conv_dim}, 0); - layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {ssm_conv_dim}, TENSOR_NOT_REQUIRED); - // ssm_dt - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {ssm_num_heads}, 0); - // no "weight" suffix for these - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, ssm_num_heads}, 0); - layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, ssm_num_heads}, 0); - // ssm_norm - layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {ssm_intermediate_size / ssm_n_groups, ssm_n_groups}, TENSOR_NOT_REQUIRED); - // out_proj - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {ssm_intermediate_size, hidden_size}, 0); - - /*ATTENTION LAYERS*/ - // attention layers (with optional bias) - create_tensor_qkv(layer, i, hidden_size, n_embd_head_k * attn_num_attention_head, attn_num_key_value_head * n_embd_head_k, attn_num_key_value_head * n_embd_head_v, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * attn_num_attention_head, hidden_size}, 0); - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED); - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {hidden_size}, 0); - - - // feed forward (w/ optional biases) - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, i), {hidden_size}, 0); - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {hidden_size, ffn_intermediate_size}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { ffn_intermediate_size, hidden_size}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {hidden_size, ffn_intermediate_size}, 0); - - layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED); - layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED); - layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_HUNYUAN_MOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); - } - } break; - case LLM_ARCH_HUNYUAN_VL: - case LLM_ARCH_HUNYUAN_DENSE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - - } - } break; - case LLM_ARCH_SMOLLM3: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_OPENAI_MOE: - { - const int64_t n_ff_exp = hparams.n_ff_exp; - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0); - - layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_gate_inp_b = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "bias", i), {n_expert}, 0); - layer.ffn_gate_exps_b = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "bias", i), {n_ff_exp, n_expert}, 0); - layer.ffn_down_exps_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "bias", i), { n_embd, n_expert}, 0); - layer.ffn_up_exps_b = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "bias", i), {n_ff_exp, n_expert}, 0); - } - } break; - case LLM_ARCH_LFM2: - case LLM_ARCH_LFM2MOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM_LFM2, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - const bool is_moe_layer = i >= static_cast(hparams.n_layer_dense_lead); - - // ffn/moe is same for transformer and conv layers - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - if (is_moe_layer) { - GGML_ASSERT(n_expert && n_expert_used); - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {hparams.n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); - } else { // dense - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - - // for operator_norm - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - if (!hparams.is_recurrent(i)) { - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - GGML_ASSERT(n_embd_v_gqa == n_embd_k_gqa); - - create_tensor_qkv(layer, i, n_embd, n_embd, hparams.n_embd_k_gqa(i), hparams.n_embd_v_gqa(i), 0); - - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - } else { - layer.shortconv.conv = create_tensor(tn(LLM_TENSOR_SHORTCONV_CONV, "weight", i), {hparams.n_shortconv_l_cache, n_embd}, 0); - layer.shortconv.in_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_INPROJ, "weight", i), {n_embd, 3 * n_embd}, 0); - layer.shortconv.out_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_OUTPROJ, "weight", i), {n_embd, n_embd}, 0); - } - } - - // for LFM2-ColBert-350M - dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED); - dense_2_out_layers_b = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "bias"), {hparams.n_embd_out() }, TENSOR_NOT_REQUIRED); - } break; - case LLM_ARCH_SMALLTHINKER: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); - - GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for SMALLTHINKER"); - GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for SMALLTHINKER"); - - // MoE branch - const int64_t n_ff_exp = hparams.n_ff_exp; - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0); - } - } break; - case LLM_ARCH_GROVEMOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for GROVEMOE"); - GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for GROVEMOE"); - GGML_ASSERT(hparams.n_group_experts > 0 && "n_group_experts must be > 0 for GROVEMOE"); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - - // MoE branch - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - const int64_t n_ff_chexp = hparams.n_ff_chexp ? hparams.n_ff_chexp : n_embd_head_k; - const int64_t n_chunk_expert = n_expert / hparams.n_group_experts; - - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); - - layer.ffn_gate_chexps = create_tensor(tn(LLM_TENSOR_FFN_GATE_CHEXPS, "weight", i), { n_embd, n_ff_chexp, n_chunk_expert}, 0); - layer.ffn_down_chexps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_CHEXPS, "weight", i), {n_ff_chexp, n_embd, n_chunk_expert}, 0); - layer.ffn_up_chexps = create_tensor(tn(LLM_TENSOR_FFN_UP_CHEXPS, "weight", i), { n_embd, n_ff_chexp, n_chunk_expert}, 0); - } - } break; - case LLM_ARCH_APERTUS: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - - if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } else { - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); - - // optional bias tensors - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0); - - // Q and K layernorms for Apertus - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); - layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); - layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_MINIMAX_M2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k * n_head}, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_k_gqa}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); - } - } break; - case LLM_ARCH_KIMI_LINEAR: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - // Check for KDA specific tensors to determine layer type or if it's a mixed model - // Assuming KDA layer if KDA tensors are present - - // KDA uses head_dim = 128 (from linear_attn_config.head_dim) - const int64_t n_embd_head_k_kda = hparams.n_embd_head_kda; - const int64_t n_embd_head_v_kda = hparams.n_embd_head_kda; - const int64_t ssm_d_conv = hparams.ssm_d_conv; - - if (hparams.is_recurrent(i)) { - // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1) - // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner] - layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); - if (!layer.ssm_q_conv) { - layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0); - } - - // KDA Layer - Conv1d weights may be 3D or 4D - layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); - if (!layer.ssm_k_conv) { - layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0); - } - layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head, 1}, TENSOR_NOT_REQUIRED); - if (!layer.ssm_v_conv) { - layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head}, 0); - } - - // q, k, v projections - // Python: q_proj, k_proj, v_proj - create_tensor_qkv(layer, i, n_embd, n_embd_head_k_kda * n_head, n_embd_head_k_kda * n_head, n_embd_head_v_kda * n_head, 0); - - // KDA specific projections - // f_a_proj, f_b_proj - layer.ssm_f_a = create_tensor(tn(LLM_TENSOR_SSM_F_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0); // head_dim - layer.ssm_f_b = create_tensor(tn(LLM_TENSOR_SSM_F_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0); // projection_size - - // b_proj (beta mixing coefficient) - layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), {n_embd, n_head}, 0); - - // A_log - Shape in GGUF: [1, num_heads, 1, 1] (4D) or [1, num_heads] (2D after quantization) Note: -exp(A_log) is applied in convert_hf_to_gguf.py - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head, 1, 1}, TENSOR_NOT_REQUIRED); - if (!layer.ssm_a) { - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0); - } - - // dt_bias - shape [n_embd_head_k_kda * n_head] = [4096] - layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_embd_head_k_kda * n_head}, 0); - - // g_a_proj, g_b_proj (output gate) - layer.ssm_g_a = create_tensor(tn(LLM_TENSOR_SSM_G_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0); - layer.ssm_g_b = create_tensor(tn(LLM_TENSOR_SSM_G_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0); - - // o_norm (reusing SSM_NORM) - layer.ssm_o_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {n_embd_head_k_kda}, 0); // FusedRMSNormGated - - // o_proj - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v_kda * n_head, n_embd}, 0); - - } else { - // MLA Layer - use MLA-specific head dimensions - const int64_t q_lora_rank = hparams.n_lora_q; - const int64_t kv_lora_rank = hparams.n_lora_kv; - const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); - const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); - - layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, TENSOR_NOT_REQUIRED); - layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); - - if (layer.attn_q_a_norm) { - layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0); - layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0); - } else { - // Kimi MLA without Q compression: wq = [n_embd, n_head * n_embd_head_k_mla] - layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0); - } - - // Kimi: qk_rope_head_dim = 64 (actual RoPE dimension for MLA) - // Note: hparams.n_rot may be 72 (from conversion) but actual is 64 - const int64_t qk_rope_head_dim = hparams.n_rot(); // From config: qk_rope_head_dim - layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + qk_rope_head_dim}, 0); - // Support Legacy GGUFs that don't split wkv_b (MLA KV cache disabled) - layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), - {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); - if (!layer.wkv_b) { // MLA KV cache enabled - layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_k_mla - qk_rope_head_dim, kv_lora_rank, n_head}, 0); - layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0); - } - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0); - } - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - // MoE intermediate size (different from dense FFN) - const int64_t n_ff_exp = hparams.n_ff_exp; - - // Kimi uses n_layer_dense_lead to determine which layers use dense FFN vs MoE - // first_k_dense_replace = 1 means layer 0 uses dense FFN, layers 1+ use MoE - if (i < (int) hparams.n_layer_dense_lead) { - // Dense FFN layer - use normal n_ff - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } else { - // MoE layer - use n_ff_exp (1024) instead of n_ff (9216) - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); - - // Shared experts use moe_intermediate_size * num_shared_experts - // Kimi: shared_expert_intermediate_size = 1024 * 1 = 1024 - // Tensors are 2D: [n_embd, n_ff_shexp] or [n_ff_shexp, n_embd] - const int64_t n_ff_shexp_actual = n_ff_exp * (hparams.n_expert_shared > 0 ? hparams.n_expert_shared : 1); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp_actual, n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED); - - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); - } - } - } break; - case LLM_ARCH_COGVLM: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.visexp_attn_wqkv = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0); - layer.visexp_attn_wo = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - - layer.visexp_ffn_gate = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.visexp_ffn_down = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.visexp_ffn_up = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_PANGU_EMBED: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - // weight tensors - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - // bias tensors - layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } else { - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_QWEN3NEXT: - { - if (n_expert == 0) { - throw std::runtime_error(arch_name() + " model cannot have zero experts"); - } - - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); - } - - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - - // Calculate dimensions from hyperparameters - const int64_t head_k_dim = hparams.ssm_d_state; - const int64_t head_v_dim = hparams.ssm_d_state; - const int64_t n_k_heads = hparams.ssm_n_group; - const int64_t n_v_heads = hparams.ssm_dt_rank; - const int64_t key_dim = head_k_dim * n_k_heads; - const int64_t value_dim = head_v_dim * n_v_heads; - const int64_t conv_dim = key_dim * 2 + value_dim; - - // Calculate projection sizes - const int64_t qkvz_dim = key_dim * 2 + value_dim * 2; - const int64_t ba_dim = n_v_heads * 2; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); - - if (!hparams.is_recurrent(i)) { - // Attention layers - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); - - // Q/K normalization for attention layers - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); - } else { - // Linear attention (gated delta net) specific tensors - // Create tensors with calculated dimensions - // note: ssm_in is used by legacy GGUF - layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), { n_embd, qkvz_dim }, TENSOR_NOT_REQUIRED); - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED); - layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED); - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), { hparams.ssm_d_conv, conv_dim }, 0); - layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), { hparams.ssm_dt_rank }, 0); - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), { hparams.ssm_dt_rank }, 0); - layer.ssm_beta_alpha = create_tensor(tn(LLM_TENSOR_SSM_BETA_ALPHA, "weight", i), { n_embd, ba_dim }, 0); - layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), { head_v_dim }, 0); - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), { value_dim, n_embd }, 0); - } - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0); - create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); - - // Shared experts - layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, 0); - } - } break; - case LLM_ARCH_QWEN35MOE: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); - } - - const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; - - // Calculate dimensions from hyperparameters - const int64_t head_k_dim = hparams.ssm_d_state; - const int64_t head_v_dim = hparams.ssm_d_state; - const int64_t n_k_heads = hparams.ssm_n_group; - const int64_t n_v_heads = hparams.ssm_dt_rank; - const int64_t key_dim = head_k_dim * n_k_heads; - const int64_t value_dim = head_v_dim * n_v_heads; - const int64_t conv_dim = key_dim * 2 + value_dim; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); - - if (!hparams.is_recurrent(i)) { - // Attention layers - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); - - // Q/K normalization for attention layers - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); - } else { - // Linear attention (gated delta net) specific tensors - // Create tensors with calculated dimensions - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED); - layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED); - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), { hparams.ssm_d_conv, conv_dim }, 0); - layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), { hparams.ssm_dt_rank }, 0); - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), { hparams.ssm_dt_rank }, 0); - layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), { n_embd, n_v_heads }, 0); - layer.ssm_alpha = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "weight", i), { n_embd, n_v_heads }, 0); - layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), { head_v_dim }, 0); - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), { value_dim, n_embd }, 0); - } - - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0); - create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); - - // Shared experts - const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff; - - layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, 0); - } - } break; - case LLM_ARCH_QWEN35: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); - - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); - } - - // Calculate dimensions from hyperparameters - const int64_t head_k_dim = hparams.ssm_d_state; - const int64_t head_v_dim = hparams.ssm_d_state; - const int64_t n_k_heads = hparams.ssm_n_group; - const int64_t n_v_heads = hparams.ssm_dt_rank; - const int64_t key_dim = head_k_dim * n_k_heads; - const int64_t value_dim = head_v_dim * n_v_heads; - const int64_t conv_dim = key_dim * 2 + value_dim; - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); - layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); - - if (!hparams.is_recurrent(i)) { - // Attention layers - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); - - // Q/K normalization for attention layers - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); - } else { - // Linear attention (gated delta net) specific tensors - // Create tensors with calculated dimensions - layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED); - layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED); - layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), { hparams.ssm_d_conv, conv_dim }, 0); - layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), { hparams.ssm_dt_rank }, 0); - layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), { hparams.ssm_dt_rank }, 0); - layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), { n_embd, n_v_heads }, 0); - layer.ssm_alpha = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "weight", i), { n_embd, n_v_heads }, 0); - layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), { head_v_dim }, 0); - layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), { value_dim, n_embd }, 0); - } - - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - case LLM_ARCH_MIMO2: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - uint32_t n_embd_k_gqa = hparams.n_embd_k_gqa(i); - uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa(i); - uint32_t n_head = hparams.n_head(i); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_v * n_head, n_embd }, 0); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - // non-MoE branch - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - - // MoE branch - int64_t n_ff_exp = hparams.n_ff_exp; - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_STEP35: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); - - // STEP35 supports per-layer partial RoPE dims; rope factors are stored as a single shared tensor - // ("rope_freqs.weight") and ggml uses only the first (n_rot_l/2) entries per layer. - uint32_t n_rot_max = 0; - for (int i = 0; i < n_layer; ++i) { - n_rot_max = std::max(n_rot_max, hparams.n_rot(i)); - } - if (n_rot_max == 0) { - n_rot_max = n_rot; - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - const uint32_t n_head_l = hparams.n_head(i); - const uint32_t n_embd_k_gqa = hparams.n_embd_k_gqa(i); - const uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa(i); - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED); - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED); - - // optional rope factors (llama3) / longrope tensors - if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { - layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } else { - layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); - } - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_l, n_embd_k_gqa, n_embd_v_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v * n_head_l, n_embd}, 0); - - // head-wise attention gate (Step35 self_attn.g_proj) - layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_head_l}, TENSOR_NOT_REQUIRED); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - - // dense MLP (leading dense blocks) - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, TENSOR_NOT_REQUIRED); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); - - // MoE routed experts + selection bias (router_bias) - const int64_t n_ff_exp = hparams.n_ff_exp; - layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); - layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); - - // shared expert MLP - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, TENSOR_NOT_REQUIRED); - } - } break; - case LLM_ARCH_MAINCODER: - { - tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); - - // output - output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); - output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); - // if output is NULL, init from the input tok embed - if (output == NULL) { - output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); - } - - for (int i = 0; i < n_layer; ++i) { - auto & layer = layers[i]; - - layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); - - create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); - layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); - - layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); - - layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); - layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); - layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - } - } break; - default: - throw std::runtime_error("unknown architecture"); + if (n_expert > 0 && n_expert_used == 0) { + throw std::runtime_error("model has expert layers but no expert layers are used"); } + layers.resize(n_layer); + + // call the per-model loading function + load_arch_tensors(ml); + // generic pass: load optional per-tensor/per-expert ".scale" tensors (e.g. NVFP4 scale2) // this avoids having to add scale loading to every architecture for (int i = 0; i < n_layer; ++i) { @@ -8065,6 +1543,13 @@ bool llama_model::load_tensors(llama_model_loader & ml) { return true; } +ggml_tensor * llama_model_base::create_tensor(llama_model_loader & ml, const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags) { + const buft_list_t * buft_list_layer = tn.bid == -1 ? nullptr : pimpl->dev_layer.at(tn.bid).buft_list; + return ml.create_tensor( + hparams, &pimpl->cpu_buft_list, pimpl->dev_input.buft_list, pimpl->dev_output.buft_list, buft_list_layer, + tn, ne, flags); +} + std::string llama_model::arch_name() const { return llm_arch_name(arch); } @@ -8182,6 +1667,7 @@ void llama_model::print_info() const { LLAMA_LOG_INFO("%s: f_max_alibi_bias = %.1e\n", __func__, hparams.f_max_alibi_bias); LLAMA_LOG_INFO("%s: f_logit_scale = %.1e\n", __func__, hparams.f_logit_scale); LLAMA_LOG_INFO("%s: f_attn_scale = %.1e\n", __func__, hparams.f_attention_scale); + LLAMA_LOG_INFO("%s: f_attn_value_scale = %.4f\n", __func__, hparams.f_attn_value_scale); LLAMA_LOG_INFO("%s: n_ff = %s\n", __func__, print_f([&](uint32_t il) { return hparams.n_ff(il); }, hparams.n_layer).c_str()); LLAMA_LOG_INFO("%s: n_expert = %u\n", __func__, hparams.n_expert); LLAMA_LOG_INFO("%s: n_expert_used = %u\n", __func__, hparams.n_expert_used); @@ -8568,508 +2054,7 @@ llama_memory_i * llama_model::create_memory(const llama_memory_params & params, } ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const { - std::unique_ptr llm; - - switch (arch) { - case LLM_ARCH_LLAMA: - { - llm = std::make_unique>(*this, params); - } break; - case LLM_ARCH_LLAMA4: - { - if (hparams.swa_type == LLAMA_SWA_TYPE_NONE) { - llm = std::make_unique>(*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_LLAMA_EMBED: - { - llm = std::make_unique>(*this, params); - } break; - case LLM_ARCH_MAINCODER: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_DECI: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_BAICHUAN: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_FALCON: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GROK: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_STARCODER: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_REFACT: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_BERT: - case LLM_ARCH_JINA_BERT_V2: - case LLM_ARCH_JINA_BERT_V3: - case LLM_ARCH_NOMIC_BERT: - case LLM_ARCH_NOMIC_BERT_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_MODERN_BERT: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_NEO_BERT: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_EUROBERT: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_BLOOM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_MPT: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_STABLELM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_DREAM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_LLADA: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_LLADA_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_RND1: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN2VL: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN2MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN3: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN3MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN3VL: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN3VLMOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_PHI2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_PHI3: - case LLM_ARCH_PHIMOE: - { - if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) { - llm = std::make_unique> (*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_PLAMO: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_PLAMO2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_PLAMO3: - { - if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) { - llm = std::make_unique> (*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_GPT2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_CODESHELL: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_ORION: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_INTERNLM2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_MINICPM3: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GEMMA: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GEMMA2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GEMMA3: - { - if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { - llm = std::make_unique>(*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_GEMMA3N: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GEMMA4: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GEMMA_EMBEDDING: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_STARCODER2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_MAMBA: - case LLM_ARCH_MAMBA2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_JAMBA: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_XVERSE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_COMMAND_R: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_COHERE2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_DBRX: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_OLMO: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_OLMO2: - { - if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { - llm = std::make_unique>(*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_OLMOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_OPENELM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GPTNEOX: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_ARCTIC: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_DEEPSEEK: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_DEEPSEEK2: - case LLM_ARCH_DEEPSEEK2OCR: - case LLM_ARCH_GLM_DSA: - case LLM_ARCH_MISTRAL4: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_CHATGLM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GLM4: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GLM4_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_BITNET: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_T5: - { - switch (params.gtype) { - case LLM_GRAPH_TYPE_ENCODER: - llm = std::make_unique>(*this, params); - break; - case LLM_GRAPH_TYPE_DEFAULT: - case LLM_GRAPH_TYPE_DECODER: - llm = std::make_unique>(*this, params); - break; - default: - GGML_ABORT("invalid graph type"); - }; - } break; - case LLM_ARCH_T5ENCODER: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_JAIS: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_JAIS2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_NEMOTRON: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_NEMOTRON_H: - case LLM_ARCH_NEMOTRON_H_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_EXAONE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_EXAONE4: - { - if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { - llm = std::make_unique>(*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_EXAONE_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_RWKV6: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_RWKV6QWEN2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_RWKV7: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_ARWKV7: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GRANITE: - case LLM_ARCH_GRANITE_MOE: - case LLM_ARCH_MINICPM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_GRANITE_HYBRID: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_CHAMELEON: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_WAVTOKENIZER_DEC: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_PLM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_BAILINGMOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_BAILINGMOE2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_SEED_OSS: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_DOTS1: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_ARCEE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_AFMOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_ERNIE4_5: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_ERNIE4_5_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_PADDLEOCR: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_HUNYUAN_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_HUNYUAN_VL: - case LLM_ARCH_HUNYUAN_DENSE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_SMOLLM3: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_OPENAI_MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_FALCON_H1: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_LFM2: - case LLM_ARCH_LFM2MOE: - { - if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { - llm = std::make_unique>(*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_SMALLTHINKER: - { - if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { - llm = std::make_unique> (*this, params); - } else { - llm = std::make_unique>(*this, params); - } - } break; - case LLM_ARCH_GROVEMOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_APERTUS: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_MINIMAX_M2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_COGVLM: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_PANGU_EMBED: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN3NEXT: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN35: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_QWEN35MOE: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_MISTRAL3: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_MIMO2: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_KIMI_LINEAR: - { - llm = std::make_unique(*this, params); - } break; - case LLM_ARCH_STEP35: - { - llm = std::make_unique(*this, params); - } break; - default: - GGML_ABORT("fatal error"); - } + std::unique_ptr llm = build_arch_graph(params); // add on pooling layer llm->build_pooling(cls, cls_b, cls_out, cls_out_b, cls_norm); @@ -9487,3 +2472,43 @@ ggml_backend_dev_t llama_model_get_device(const struct llama_model * model, int } return model->devices[i].dev; } + +// +// llama_model_base +// + +llama_model_base::llama_model_base(const struct llama_model_params & params) : llama_model(params), model(this), tn(model->arch), + TENSOR_DUPLICATED (llama_model_loader::TENSOR_DUPLICATED), + TENSOR_NOT_REQUIRED (llama_model_loader::TENSOR_NOT_REQUIRED), + TENSOR_SKIP (llama_model_loader::TENSOR_SKIP), + TENSOR_SKIP_IF_VIRTUAL(llama_model_loader::TENSOR_SKIP_IF_VIRTUAL) {} + +ggml_tensor * llama_model_base::create_tensor(const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags) { + GGML_ASSERT(ml != nullptr); + return create_tensor(*ml, tn, ne, flags); +} + +void llama_model_base::create_tensor_gate_up_exps(llama_layer & layer, int bid, int64_t n_embd_, int64_t n_ff_, int64_t n_expert_, int flags) { + layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", bid), {n_embd_, n_ff_ * 2, n_expert_}, TENSOR_NOT_REQUIRED); + if (layer.ffn_gate_up_exps == nullptr) { + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags); + } +} + +void llama_model_base::create_tensor_qkv(llama_layer & layer, int bid, + int64_t n_embd_, int64_t n_embd_q_, int64_t n_embd_k_, int64_t n_embd_v_, + int flags) { + const int64_t n_embd_qkv = n_embd_q_ + n_embd_k_ + n_embd_v_; + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", bid), {n_embd_, n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + if (layer.wqkv) { + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", bid), {n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + } else { + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", bid), {n_embd_, n_embd_q_}, flags); + layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", bid), {n_embd_, n_embd_k_}, flags); + layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", bid), {n_embd_, n_embd_v_}, flags); + layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", bid), {n_embd_q_}, TENSOR_NOT_REQUIRED); + layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", bid), {n_embd_k_}, TENSOR_NOT_REQUIRED); + layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", bid), {n_embd_v_}, TENSOR_NOT_REQUIRED); + } +} diff --git a/src/llama-model.h b/src/llama-model.h index 5f101bd637..d63c689185 100644 --- a/src/llama-model.h +++ b/src/llama-model.h @@ -577,14 +577,8 @@ struct llama_model { int64_t t_load_us = 0; int64_t t_start_us = 0; - explicit llama_model(const struct llama_model_params & params); - ~llama_model(); - - void load_stats (llama_model_loader & ml); - void load_arch (llama_model_loader & ml); - void load_hparams(llama_model_loader & ml); - void load_vocab (llama_model_loader & ml); - bool load_tensors(llama_model_loader & ml); // returns false if cancelled by progress_callback + explicit llama_model(const llama_model_params & params); + virtual ~llama_model(); std::string arch_name() const; std::string type_name() const; @@ -620,21 +614,94 @@ struct llama_model { ggml_tensor * get_rope_factors(const llama_cparams & cparams, int il) const; - // TODO: move this to new llm_arch_model_i interface llama_memory_i * create_memory(const llama_memory_params & params, const llama_cparams & cparams) const; - // TODO: move this to new llm_arch_model_i interface ggml_cgraph * build_graph(const llm_graph_params & params) const; -private: + virtual void load_stats (llama_model_loader & ml) = 0; + virtual void load_hparams(llama_model_loader & ml) = 0; + virtual void load_vocab (llama_model_loader & ml) = 0; + virtual bool load_tensors(llama_model_loader & ml) = 0; // returns false if cancelled by progress_callback + + // model must define these + virtual void load_arch_hparams(llama_model_loader & ml) = 0; + virtual void load_arch_tensors(llama_model_loader & ml) = 0; + virtual std::unique_ptr build_arch_graph(const llm_graph_params & params) const = 0; + +protected: llama_model_params params; struct impl; std::unique_ptr pimpl; }; +llama_model * llama_model_create(llm_arch arch, const llama_model_params & params); +llama_model * llama_model_create(llama_model_loader & ml, const llama_model_params & params); + +// model must inherit from this +struct llama_model_base : public llama_model { + friend struct llama_model; + + llama_model * model; + llama_model_loader * ml = nullptr; + const LLM_TN tn; + + // llama_model_loader is not yet defined at this point, so we will set it after construction + const int TENSOR_DUPLICATED; + const int TENSOR_NOT_REQUIRED; + const int TENSOR_SKIP; + const int TENSOR_SKIP_IF_VIRTUAL; + + explicit llama_model_base(const llama_model_params & params); + virtual ~llama_model_base() = default; + + ggml_tensor * create_tensor(llama_model_loader & ml, const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags); + + // convenience overload of create_tensor that doesn't require llama_model_loader + ggml_tensor * create_tensor(const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags); + + // helper: try merged gate_up_exps first, fall back to separate gate and up + void create_tensor_gate_up_exps(llama_layer & layer, int bid, int64_t n_embd_, + int64_t n_ff_, int64_t n_expert_, int flags); + + // helper: try to load merged qkv first, fall back to separate q, k, v + void create_tensor_qkv(llama_layer & layer, int bid, + int64_t n_embd_, int64_t n_embd_q_, int64_t n_embd_k_, int64_t n_embd_v_, + int flags); + + void load_stats (llama_model_loader & ml) override; + void load_hparams(llama_model_loader & ml) override; + void load_vocab (llama_model_loader & ml) override; + bool load_tensors(llama_model_loader & ml) override; + + // model must define these + void load_arch_hparams(llama_model_loader & ml) override = 0; + void load_arch_tensors(llama_model_loader & ml) override = 0; + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override = 0; +}; + const char * llm_type_name(llm_type type); +// convenience macro for loading local variables for load_tensors() in llama_model_base +// note: cast to int64_t since we will use these for the tensor dimensions +#define LLAMA_LOAD_LOCALS \ + const int n_layer = hparams.n_layer; GGML_UNUSED(n_layer); \ + const int64_t n_head = hparams.n_head(); GGML_UNUSED(n_head); \ + const int64_t n_head_kv = hparams.n_head_kv(); GGML_UNUSED(n_head_kv); \ + const int64_t n_embd = hparams.n_embd; GGML_UNUSED(n_embd); \ + const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(); GGML_UNUSED(n_embd_k_gqa); \ + const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa(); GGML_UNUSED(n_embd_v_gqa); \ + const int64_t n_embd_head_k = hparams.n_embd_head_k(); GGML_UNUSED(n_embd_head_k); \ + const int64_t n_embd_head_v = hparams.n_embd_head_v(); GGML_UNUSED(n_embd_head_v); \ + const int64_t n_ff = hparams.n_ff(); GGML_UNUSED(n_ff); \ + const int64_t n_embd_gqa = n_embd_v_gqa; GGML_UNUSED(n_embd_gqa); \ + const int64_t n_vocab = vocab.n_tokens(); GGML_UNUSED(n_vocab); \ + const int64_t n_token_types = vocab.n_token_types(); GGML_UNUSED(n_token_types); \ + const int64_t n_rot = hparams.n_rot(); GGML_UNUSED(n_rot); \ + const int64_t n_expert = hparams.n_expert; GGML_UNUSED(n_expert); \ + const int64_t n_expert_used = hparams.n_expert_used; GGML_UNUSED(n_expert_used); \ + const int64_t n_ctx_train = hparams.n_ctx_train; GGML_UNUSED(n_ctx_train); + // For internal test use // TODO: remove const std::vector> & llama_internal_get_tensor_map(const llama_model * model); diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp index 25a333b4a7..43e05c3d56 100644 --- a/src/llama-quant.cpp +++ b/src/llama-quant.cpp @@ -683,9 +683,9 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, const llama_mod LLAMA_LOG_WARN("%s: %-36s - applying manual override: %s -> %s\n", __func__, tensor_name.c_str(), ggml_type_name(new_type), ggml_type_name(qtype)); new_type = qtype; - manual = true; - break; } + manual = true; + break; } } } @@ -882,13 +882,18 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: fname_inp, splits, /*file*/ nullptr, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr); ml.init_mappings(false); // no prefetching - llama_model model(llama_model_default_params()); + auto mparams = llama_model_default_params(); + std::unique_ptr model_ptr(llama_model_create(ml, mparams)); - model.load_arch (ml); - model.load_hparams(ml); - model.load_stats (ml); + auto * model = dynamic_cast(model_ptr.get()); + if (model == nullptr) { + GGML_ABORT("fatal error: model does not implement llama_model_base"); + } - quantize_state_impl qs(model, params); + model->load_hparams(ml); + model->load_stats (ml); + + quantize_state_impl qs(*model, params); if (params->only_copy) { ftype = ml.ftype; @@ -1023,7 +1028,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: } gguf_add_tensor(ctx_outs[i_split].get(), tensor); - metadata[i].allows_quantization = tensor_allows_quantization(params, model.arch, tensor); + metadata[i].allows_quantization = tensor_allows_quantization(params, model->arch, tensor); if (metadata[i].allows_quantization) { metadata[i].target_type = llama_tensor_get_type(qs, params, tensor, default_type, metadata[i]); @@ -1331,9 +1336,9 @@ void llama_quant_free(quantize_state_impl * qs) { llama_model * llama_quant_model_from_metadata(const llama_quant_model_desc * desc) { struct llama_model_params mparams = llama_model_default_params(); - auto * model = new llama_model(mparams); - - model->arch = llm_arch_from_string(desc->architecture); + auto arch = llm_arch_from_string(desc->architecture); + auto * model = llama_model_create(arch, mparams); + model->arch = arch; // infer llm_type: only LLM_TYPE_70B matters for quantization logic if (model->arch == LLM_ARCH_LLAMA && desc->n_layer == 80 && desc->n_head != desc->n_head_kv) { diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp index 163f222ef6..f43cf546ca 100644 --- a/src/llama-vocab.cpp +++ b/src/llama-vocab.cpp @@ -503,6 +503,14 @@ struct llm_tokenizer_bpe : llm_tokenizer { }; byte_encode = false; // uses raw UTF-8, not GPT-2 byte encoding break; + case LLAMA_VOCAB_PRE_TYPE_SARVAM_MOE: + // Sarvam uses SPM-style BPE (same shape as Gemma4): spaces replaced with U+2581 + // by the normalizer, BPE merges over the whole text on raw UTF-8. + regex_exprs = { + "[^\\n]+|[\\n]+", + }; + byte_encode = false; + break; default: // default regex for BPE tokenization pre-processing regex_exprs = { @@ -2005,6 +2013,11 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) { tokenizer_pre == "gemma4") { pre_type = LLAMA_VOCAB_PRE_TYPE_GEMMA4; escape_whitespaces = true; + } else if ( + tokenizer_pre == "sarvam-moe") { + pre_type = LLAMA_VOCAB_PRE_TYPE_SARVAM_MOE; + escape_whitespaces = true; + clean_spaces = false; } else if ( tokenizer_pre == "jina-v1-en" || tokenizer_pre == "jina-v2-code" || diff --git a/src/llama-vocab.h b/src/llama-vocab.h index dd38f45d3a..8b040b912e 100644 --- a/src/llama-vocab.h +++ b/src/llama-vocab.h @@ -59,6 +59,7 @@ enum llama_vocab_pre_type { LLAMA_VOCAB_PRE_TYPE_JOYAI_LLM = 48, LLAMA_VOCAB_PRE_TYPE_JAIS2 = 49, LLAMA_VOCAB_PRE_TYPE_GEMMA4 = 50, + LLAMA_VOCAB_PRE_TYPE_SARVAM_MOE = 51, }; struct LLM_KV; diff --git a/src/llama.cpp b/src/llama.cpp index e9c3028585..dfe30ce8f6 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -71,12 +71,18 @@ bool llama_supports_mlock(void) { } bool llama_supports_gpu_offload(void) { + if (!ggml_backend_reg_count()) { + ggml_backend_load_all(); + } return ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_GPU) != nullptr || ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_IGPU) != nullptr || llama_supports_rpc(); } bool llama_supports_rpc(void) { + if (!ggml_backend_reg_count()) { + ggml_backend_load_all(); + } return ggml_backend_reg_by_name("RPC") != nullptr; } @@ -89,6 +95,10 @@ void llama_backend_init(void) { struct ggml_context * ctx = ggml_init(params); ggml_free(ctx); } + + if (!ggml_backend_reg_count()) { + ggml_backend_load_all(); + } } void llama_numa_init(enum ggml_numa_strategy numa) { @@ -111,113 +121,8 @@ int64_t llama_time_us(void) { return ggml_time_us(); } -// Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback -static int llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud, - const std::string & fname, std::vector & splits, FILE * file, llama_model & model, llama_model_params & params) { - // loading time will be recalculated after the first eval, so - // we take page faults deferred by mmap() into consideration - model.t_load_us = 0; - time_meas tm(model.t_load_us); - - model.t_start_us = tm.t_start_us; - - try { - llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, file, params.use_mmap, params.use_direct_io, - params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides); - - ml.print_info(); - - model.hparams.vocab_only = params.vocab_only; - model.hparams.no_alloc = params.no_alloc; - - try { - model.load_arch(ml); - } catch(const std::exception & e) { - throw std::runtime_error("error loading model architecture: " + std::string(e.what())); - } - try { - model.load_hparams(ml); - } catch(const std::exception & e) { - throw std::runtime_error("error loading model hyperparameters: " + std::string(e.what())); - } - if (model.arch == LLM_ARCH_CLIP) { - throw std::runtime_error("CLIP cannot be used as main model, use it with --mmproj instead"); - } - try { - model.load_vocab(ml); - } catch(const std::exception & e) { - throw std::runtime_error("error loading model vocabulary: " + std::string(e.what())); - } - - model.load_stats(ml); - model.print_info(); - - if (params.vocab_only) { - LLAMA_LOG_INFO("%s: vocab only - skipping tensors\n", __func__); - return 0; - } - - if (!model.load_tensors(ml)) { - return -2; - } - } catch (const std::exception & err) { - LLAMA_LOG_ERROR("%s: error loading model: %s\n", __func__, err.what()); - return -1; - } - - return 0; -} - -static struct llama_model * llama_model_load_from_file_impl( - struct gguf_context * metadata, - llama_model_set_tensor_data_t set_tensor_data, - void * set_tensor_data_ud, - const std::string & path_model, - std::vector & splits, - FILE * file, - struct llama_model_params params) { - { - int n_sources_defined = 0; - if (metadata != nullptr) { - n_sources_defined++; - } - if (!path_model.empty()) { - n_sources_defined++; - } - if (file != nullptr) { - n_sources_defined++; - } - if (n_sources_defined != 1) { - LLAMA_LOG_ERROR("%s: exactly one out metadata, path_model, and file must be defined\n", __func__); - return nullptr; - } - } - ggml_time_init(); - - if (!params.vocab_only && ggml_backend_reg_count() == 0) { - LLAMA_LOG_ERROR("%s: no backends are loaded. hint: use ggml_backend_load() or ggml_backend_load_all() to load a backend before calling this function\n", __func__); - return nullptr; - } - - unsigned cur_percentage = 0; - if (params.progress_callback == NULL) { - params.progress_callback_user_data = &cur_percentage; - params.progress_callback = [](float progress, void * ctx) { - unsigned * cur_percentage_p = (unsigned *) ctx; - unsigned percentage = (unsigned) (100 * progress); - while (percentage > *cur_percentage_p) { - *cur_percentage_p = percentage; - LLAMA_LOG_CONT("."); - if (percentage >= 100) { - LLAMA_LOG_CONT("\n"); - } - } - return true; - }; - } - - llama_model * model = new llama_model(params); - +// returns true on success +static bool llama_prepare_model_devices(const llama_model_params & params, llama_model * model) { // create list of devices to use with this model if (params.devices) { if (params.split_mode == LLAMA_SPLIT_MODE_TENSOR) { @@ -227,7 +132,7 @@ static struct llama_model * llama_model_load_from_file_impl( } if (n_devs == 0) { LLAMA_LOG_ERROR("%s: LLAMA_SPLIT_MODE_TENSOR needs >= 1 devices\n", __func__); - return nullptr; + return false; } LLAMA_LOG_INFO("%s: creating a Meta device with %zu devices\n", __func__, n_devs); for (size_t i = 0; i < n_devs; ++i) { @@ -265,7 +170,7 @@ static struct llama_model * llama_model_load_from_file_impl( } if (devs.empty()) { LLAMA_LOG_ERROR("%s: LLAMA_SPLIT_MODE_TENSOR needs >= 1 devices\n", __func__); - return nullptr; + return false; } LLAMA_LOG_INFO("%s: creating a Meta device for tensor parallelism from %zu devices:\n", __func__, devs.size()); @@ -347,8 +252,7 @@ static struct llama_model * llama_model_load_from_file_impl( } else { if (params.main_gpu >= (int)model->devices.size()) { LLAMA_LOG_ERROR("%s: invalid value for main_gpu: %d (available devices: %zu)\n", __func__, params.main_gpu, model->devices.size()); - llama_model_free(model); - return nullptr; + return false; } llama_device main_gpu = model->devices[params.main_gpu]; model->devices.clear(); @@ -365,7 +269,121 @@ static struct llama_model * llama_model_load_from_file_impl( props.memory_free/1024/1024); } - const int status = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, file, *model, params); + return true; +} + +// Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback +static std::pair llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud, + const std::string & fname, std::vector & splits, FILE * file, llama_model_params & params) { + try { + llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, file, params.use_mmap, params.use_direct_io, + params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides); + + ml.print_info(); + std::unique_ptr model_ptr(llama_model_create(ml, params)); + + bool ok = llama_prepare_model_devices(params, model_ptr.get()); + if (!ok) { + return {-1, nullptr}; + } + + auto * model = dynamic_cast(model_ptr.get()); + if (model == nullptr) { + GGML_ABORT("fatal error: model does not implement llama_model_base"); + } + + // loading time will be recalculated after the first eval, so + // we take page faults deferred by mmap() into consideration + model->t_load_us = 0; + time_meas tm(model->t_load_us); + + model->t_start_us = tm.t_start_us; + + model->hparams.vocab_only = params.vocab_only; + model->hparams.no_alloc = params.no_alloc; + + try { + model->load_hparams(ml); + } catch(const std::exception & e) { + throw std::runtime_error("error loading model hyperparameters: " + std::string(e.what())); + } + if (model->arch == LLM_ARCH_CLIP) { + throw std::runtime_error("CLIP cannot be used as main model, use it with --mmproj instead"); + } + try { + model->load_vocab(ml); + } catch(const std::exception & e) { + throw std::runtime_error("error loading model vocabulary: " + std::string(e.what())); + } + + model->load_stats(ml); + model->print_info(); + + if (params.vocab_only) { + LLAMA_LOG_INFO("%s: vocab only - skipping tensors\n", __func__); + return {0, model_ptr.release()}; + } + + if (!model->load_tensors(ml)) { + return {-2, nullptr}; + } + + return {0, model_ptr.release()}; + } catch (const std::exception & err) { + LLAMA_LOG_ERROR("%s: error loading model: %s\n", __func__, err.what()); + return {-1, nullptr}; + } +} + +static struct llama_model * llama_model_load_from_file_impl( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, + const std::string & path_model, + std::vector & splits, + FILE * file, + struct llama_model_params params) { + { + int n_sources_defined = 0; + if (metadata != nullptr) { + n_sources_defined++; + } + if (!path_model.empty()) { + n_sources_defined++; + } + if (file != nullptr) { + n_sources_defined++; + } + if (n_sources_defined != 1) { + LLAMA_LOG_ERROR("%s: exactly one out metadata, path_model, and file must be defined\n", __func__); + return nullptr; + } + } + ggml_time_init(); + + if (!params.vocab_only && ggml_backend_reg_count() == 0) { + LLAMA_LOG_ERROR("%s: no backends are loaded. hint: use ggml_backend_load() or ggml_backend_load_all() to load a backend before calling this function\n", __func__); + return nullptr; + } + + unsigned cur_percentage = 0; + if (params.progress_callback == NULL) { + params.progress_callback_user_data = &cur_percentage; + params.progress_callback = [](float progress, void * ctx) { + unsigned * cur_percentage_p = (unsigned *) ctx; + unsigned percentage = (unsigned) (100 * progress); + while (percentage > *cur_percentage_p) { + *cur_percentage_p = percentage; + LLAMA_LOG_CONT("."); + if (percentage >= 100) { + LLAMA_LOG_CONT("\n"); + } + } + return true; + }; + } + + const auto [status, model] = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, file, params); GGML_ASSERT(status <= 0); if (status < 0) { if (status == -1) { @@ -374,7 +392,9 @@ static struct llama_model * llama_model_load_from_file_impl( LLAMA_LOG_INFO("%s: cancelled model load\n", __func__); } - llama_model_free(model); + if (model) { + llama_model_free(model); + } return nullptr; } diff --git a/src/models/afmoe.cpp b/src/models/afmoe.cpp index 2790b12111..602e3176af 100644 --- a/src/models/afmoe.cpp +++ b/src/models/afmoe.cpp @@ -1,6 +1,112 @@ #include "models.h" -llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_afmoe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + + // Set up interleaved sliding window attention (ISWA) + // Pattern: 3 sliding - 1 full (global_attn_every_n_layers = 4) + if (hparams.n_swa > 0) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + } else { + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + } + + // Default to sigmoid if not set + if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; + } + + switch (hparams.n_layer) { + case 56: type = LLM_TYPE_6B; break; + case 32: type = LLM_TYPE_26B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_afmoe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + const int64_t n_ff_exp = hparams.n_ff_exp; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + // dual attention normalization + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + + // attention projections + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // Q/K normalization + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + + // attention gating + layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_embd_head_k * n_head}, 0); + + // dual ffn normalization + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + + if (static_cast(i) >= hparams.n_layer_dense_lead) { + // MoE layers + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); + + // grouped expert weights + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + + // shared expert + if (n_expert_shared > 0) { + const int64_t n_ff_shexp = n_ff_exp * n_expert_shared; + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + } + } else { + // Dense layers + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + } +} + +std::unique_ptr llama_model_afmoe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_afmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/apertus.cpp b/src/models/apertus.cpp index af44cea605..136ff70295 100644 --- a/src/models/apertus.cpp +++ b/src/models/apertus.cpp @@ -1,6 +1,62 @@ #include "models.h" -llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_apertus::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_N, hparams.xielu_alpha_n, hparams.n_layer); + ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_P, hparams.xielu_alpha_p, hparams.n_layer); + ml.get_key_or_arr(LLM_KV_XIELU_BETA, hparams.xielu_beta, hparams.n_layer); + ml.get_key_or_arr(LLM_KV_XIELU_EPS, hparams.xielu_eps, hparams.n_layer); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_8B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_apertus::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0); + + // Q and K layernorms for Apertus + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); + layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); + layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_apertus::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_apertus::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/arcee.cpp b/src/models/arcee.cpp index 2e71f5d9e2..70e86d4113 100644 --- a/src/models/arcee.cpp +++ b/src/models/arcee.cpp @@ -1,6 +1,51 @@ #include "models.h" -llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_arcee::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + // Arcee uses the same structure as Llama + switch (hparams.n_layer) { + case 36: type = LLM_TYPE_4B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_arcee::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_arcee::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_arcee::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/arctic.cpp b/src/models/arctic.cpp index f8ca6aff6a..d8653a4463 100644 --- a/src/models/arctic.cpp +++ b/src/models/arctic.cpp @@ -1,6 +1,59 @@ #include "models.h" -llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_arctic::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + if (hparams.n_expert == 128) { + switch (hparams.n_layer) { + case 35: type = LLM_TYPE_10B_128x3_66B; break; + default: type = LLM_TYPE_UNKNOWN; + } + } else { + type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_arctic::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_embd}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_embd, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_norm_exps = create_tensor(tn(LLM_TENSOR_FFN_NORM_EXPS, "weight", i), {n_embd}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, false); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + } +} + +std::unique_ptr llama_model_arctic::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_arctic::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/arwkv7.cpp b/src/models/arwkv7.cpp index 107a3bef8d..79aa8c9089 100644 --- a/src/models/arwkv7.cpp +++ b/src/models/arwkv7.cpp @@ -1,7 +1,123 @@ #include "models.h" +void llama_model_arwkv7::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false); + ml.get_key(LLM_KV_WKV_HEAD_SIZE, hparams.wkv_head_size); + ml.get_key(LLM_KV_ATTENTION_DECAY_LORA_RANK, hparams.n_lora_decay); + ml.get_key(LLM_KV_ATTENTION_ICLR_LORA_RANK, hparams.n_lora_iclr); + ml.get_key(LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, hparams.n_lora_value_res_mix); + ml.get_key(LLM_KV_ATTENTION_GATE_LORA_RANK, hparams.n_lora_gate, false); + ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT, hparams.token_shift_count, false); -llm_build_arwkv7::llm_build_arwkv7(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv7_base(model, params) { + switch (hparams.n_layer) { + case 12: + switch (hparams.n_embd) { + case 768: type = LLM_TYPE_190M; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 24: + switch (hparams.n_embd) { + case 1024: type = LLM_TYPE_450M; break; + case 2048: type = LLM_TYPE_1_5B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 28: + switch (hparams.n_embd) { + case 1536: type = LLM_TYPE_1_5B; break; + case 3584: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 32: + switch (hparams.n_embd) { + case 2560: type = LLM_TYPE_2_9B; break; + case 4096: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 61: + switch (hparams.n_embd) { + case 4096: type = LLM_TYPE_14B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_arwkv7::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + const int n_lora_decay = hparams.n_lora_decay; + const int n_lora_iclr = hparams.n_lora_iclr; + const int n_lora_value_res_mix = hparams.n_lora_value_res_mix; + const int n_lora_gate = hparams.n_lora_gate; + const int attn_hidden_size = n_embd; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0); + layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0); + layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0); + + layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0); + layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0); + layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0); + + if (i == 0) { + // actually not used + layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); + layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0); + layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0); + } else { + layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); + layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0); + layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0); + } + + layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, TENSOR_NOT_REQUIRED); + layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, TENSOR_NOT_REQUIRED); + + try { + layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0); + } catch(std::runtime_error & e) { + // ARWKV models may not have gate tensors + layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0); + } + + layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0); + layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0); + layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0); + + layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); + + layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + +} + +std::unique_ptr llama_model_arwkv7::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_arwkv7::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv7_base(model, params) { GGML_ASSERT(n_embd == hparams.n_embd_r()); ggml_tensor * cur; diff --git a/src/models/baichuan.cpp b/src/models/baichuan.cpp index 2d0d05df48..4e55290e4e 100644 --- a/src/models/baichuan.cpp +++ b/src/models/baichuan.cpp @@ -1,6 +1,49 @@ #include "models.h" -llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_baichuan::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 40: type = LLM_TYPE_13B; break; + default: type = LLM_TYPE_UNKNOWN; + } + + if (type == LLM_TYPE_13B) { + // TODO: become GGUF KV parameter + hparams.f_max_alibi_bias = 8.0f; + } +} + +void llama_model_baichuan::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + { + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_baichuan::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_baichuan::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/bailingmoe.cpp b/src/models/bailingmoe.cpp index 67a7120d62..030dd4f42a 100644 --- a/src/models/bailingmoe.cpp +++ b/src/models/bailingmoe.cpp @@ -1,6 +1,65 @@ #include "models.h" -llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_bailingmoe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + + switch (hparams.n_layer) { + case 28: type = LLM_TYPE_16B; break; + case 88: type = LLM_TYPE_290B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_bailingmoe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0); + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + } +} + +std::unique_ptr llama_model_bailingmoe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_bailingmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/bailingmoe2.cpp b/src/models/bailingmoe2.cpp index 497b4babd0..e7fe3d5b45 100644 --- a/src/models/bailingmoe2.cpp +++ b/src/models/bailingmoe2.cpp @@ -1,6 +1,100 @@ #include "models.h" -llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params) : +void llama_model_bailingmoe2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); + ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); + + // TODO: when MTP is implemented, this should probably be updated if needed + hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; + + switch (hparams.n_layer) { + case 20: type = LLM_TYPE_16B_A1B; break; + case 21: type = LLM_TYPE_16B_A1B; break; + case 32: type = LLM_TYPE_100B_A6B; break; + case 33: type = LLM_TYPE_100B_A6B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_bailingmoe2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for bailingmoe2"); + GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for bailingmoe2"); + + for (int i = 0; i < n_layer; ++i) { + int flags = 0; + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + // skip all tensors in the NextN layers + flags |= TENSOR_SKIP; + } + + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, flags); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags); + + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); + + if (static_cast(i) >= hparams.n_layer_dense_lead) { // MoE layers + const int64_t n_ff_shexp = (hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff_exp) * n_expert_shared; + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags); + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, flags); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); + + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); + } else { // Dense layers + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, flags); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, flags); + } + + // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); + layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags); + layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); + layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); + layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags); + layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, TENSOR_NOT_REQUIRED | flags); + layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, flags); + } + } +} + +std::unique_ptr llama_model_bailingmoe2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_bailingmoe2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/bert.cpp b/src/models/bert.cpp index 7e046cfd2a..3c28f419cc 100644 --- a/src/models/bert.cpp +++ b/src/models/bert.cpp @@ -1,6 +1,83 @@ #include "models.h" -llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_bert::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 3: + type = LLM_TYPE_17M; break; // bge-micro + case 6: + type = LLM_TYPE_22M; break; // MiniLM-L6 + case 12: + switch (hparams.n_embd) { + case 384: type = LLM_TYPE_33M; break; // MiniLM-L12, bge-small + case 768: type = LLM_TYPE_109M; break; // bge-base + default: type = LLM_TYPE_UNKNOWN; + } break; + case 24: + type = LLM_TYPE_335M; break; // bge-large + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_bert::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_token_types == 0) { + throw std::runtime_error(arch_name() + " model needs to define token type count"); + } + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_BERT) { + pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); + + cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); + cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); + + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + } + + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); + layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i), {n_embd}, 0); + + if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) { + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + } else { + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_NOMIC_BERT) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + } + } + + layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0); + layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_bert::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_bert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/bitnet.cpp b/src/models/bitnet.cpp index 71526354ca..7e8125deec 100644 --- a/src/models/bitnet.cpp +++ b/src/models/bitnet.cpp @@ -1,7 +1,54 @@ #include "models.h" +void llama_model_bitnet::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); -llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { + switch (hparams.n_layer) { + case 26: type = LLM_TYPE_3B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_bitnet::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_sub_norm = create_tensor(tn(LLM_TENSOR_ATTN_SUB_NORM, "weight", i), {n_embd}, 0); + + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0); + layer.wq_s = create_tensor(tn(LLM_TENSOR_ATTN_Q, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0); + layer.wk_s = create_tensor(tn(LLM_TENSOR_ATTN_K, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0); + layer.wv_s = create_tensor(tn(LLM_TENSOR_ATTN_V, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_sub_norm = create_tensor(tn(LLM_TENSOR_FFN_SUB_NORM, "weight", i), {n_ff}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_bitnet::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_bitnet::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/bloom.cpp b/src/models/bloom.cpp index f3b0999bf5..b600fb0c95 100644 --- a/src/models/bloom.cpp +++ b/src/models/bloom.cpp @@ -1,6 +1,68 @@ #include "models.h" -llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_bloom::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1B; break; + case 30: + switch (hparams.n_embd) { + case 2560: type = LLM_TYPE_3B; break; + case 4096: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + default: type = LLM_TYPE_UNKNOWN; + } + + // TODO: become GGUF KV parameter + hparams.f_max_alibi_bias = 8.0f; +} + +void llama_model_bloom::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + } +} + +std::unique_ptr llama_model_bloom::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_bloom::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/chameleon.cpp b/src/models/chameleon.cpp index 21deaba1a6..8510b9e29f 100644 --- a/src/models/chameleon.cpp +++ b/src/models/chameleon.cpp @@ -1,8 +1,56 @@ #include "models.h" - #include -llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_chameleon::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + hparams.f_norm_eps = 1e-5; // eps for qk-norm, torch default + ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm, false); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 48: type = LLM_TYPE_34B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_chameleon::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0); + layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd_head_k, n_head}, TENSOR_NOT_REQUIRED); + layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_chameleon::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_chameleon::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/chatglm.cpp b/src/models/chatglm.cpp index 7d4a43fdca..e898eff793 100644 --- a/src/models/chatglm.cpp +++ b/src/models/chatglm.cpp @@ -1,7 +1,60 @@ #include "models.h" +void llama_model_chatglm::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 28: { + if (hparams.n_head(0) == 16) { + type = LLM_TYPE_1_5B; + } else { + type = LLM_TYPE_6B; + } + } break; + case 40: { + if (hparams.n_head(0) == 24) { + type = LLM_TYPE_4B; + } else { + type = LLM_TYPE_9B; + } + } break; + default: type = LLM_TYPE_UNKNOWN; + } +} -llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_chatglm::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff * 2}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + } +} + +std::unique_ptr llama_model_chatglm::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_chatglm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/codeshell.cpp b/src/models/codeshell.cpp index 3ceb5835b8..e9e85d9671 100644 --- a/src/models/codeshell.cpp +++ b/src/models/codeshell.cpp @@ -1,6 +1,55 @@ #include "models.h" -llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_codeshell::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + switch (hparams.n_layer) { + case 42: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_codeshell::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if tok embd is NULL, init from output + if (tok_embd == NULL) { + tok_embd = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + } +} + +std::unique_ptr llama_model_codeshell::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_codeshell::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/cogvlm.cpp b/src/models/cogvlm.cpp index be3eeeddac..79236121bd 100644 --- a/src/models/cogvlm.cpp +++ b/src/models/cogvlm.cpp @@ -1,6 +1,55 @@ #include "models.h" -llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_params & params) : +void llama_model_cogvlm::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_13B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_cogvlm::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.visexp_attn_wqkv = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0); + layer.visexp_attn_wo = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + layer.visexp_ffn_gate = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.visexp_ffn_down = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.visexp_ffn_up = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_cogvlm::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_cogvlm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); const float kq_scale = 1.0f / sqrtf(float(n_embd_head)); diff --git a/src/models/cohere2-iswa.cpp b/src/models/cohere2.cpp similarity index 60% rename from src/models/cohere2-iswa.cpp rename to src/models/cohere2.cpp index 670b08e7d9..12edbae109 100644 --- a/src/models/cohere2-iswa.cpp +++ b/src/models/cohere2.cpp @@ -1,6 +1,53 @@ #include "models.h" -llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_cohere2::load_arch_hparams(llama_model_loader & ml) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_8B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_cohere2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + // init output from the input tok embed + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, + TENSOR_DUPLICATED); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0); + } +} + +std::unique_ptr llama_model_cohere2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_cohere2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/command-r.cpp b/src/models/command-r.cpp index 067961caa0..decb89f547 100644 --- a/src/models/command-r.cpp +++ b/src/models/command-r.cpp @@ -1,8 +1,48 @@ #include "models.h" +void llama_model_command_r::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + switch (hparams.n_layer) { + case 40: type = LLM_TYPE_35B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} +void llama_model_command_r::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; -llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_graph_params & params) : + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + // init output from the input tok embed + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (n_layer >= 64){ + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0); + } + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_command_r::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_command_r::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/dbrx.cpp b/src/models/dbrx.cpp index 0e88272180..bce6b04bcf 100644 --- a/src/models/dbrx.cpp +++ b/src/models/dbrx.cpp @@ -1,6 +1,50 @@ #include "models.h" -llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_dbrx::load_arch_hparams(llama_model_loader & ml) { +ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); +ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv); + +switch (hparams.n_layer) { + case 40: type = LLM_TYPE_16x12B; break; + default: type = LLM_TYPE_UNKNOWN; +} + } + +void llama_model_dbrx::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_expert == 0) { + throw std::runtime_error("DBRX model cannot have zero experts"); + } + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + } +} + +std::unique_ptr llama_model_dbrx::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_dbrx::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/deci.cpp b/src/models/deci.cpp index 30272eabd6..9f1a959c32 100644 --- a/src/models/deci.cpp +++ b/src/models/deci.cpp @@ -1,6 +1,82 @@ #include "models.h" -llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_deci::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 80: type = LLM_TYPE_70B; break; + case 162: type = LLM_TYPE_405B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_deci::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(i); + const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa(i); + const int64_t n_ff = hparams.n_ff(i); + const int64_t n_head = hparams.n_head(i); + const int64_t n_head_kv = hparams.n_head_kv(i); + + if (n_head_kv == 0 && n_head > 0) { + // linear attention for DeciLMCausalModel + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + } + else if (n_head_kv > 0) { + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + } + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + if (n_ff > 0) { + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + } + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + if (n_ff > 0) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + + // optional MLP bias + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_deci::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_deci::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/deepseek.cpp b/src/models/deepseek.cpp index 671b72dfea..c794605966 100644 --- a/src/models/deepseek.cpp +++ b/src/models/deepseek.cpp @@ -1,6 +1,77 @@ #include "models.h" -llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_graph_params & params) : +void llama_model_deepseek::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + + switch (hparams.n_ff_exp) { + case 1408: type = LLM_TYPE_16B; break; + case 1792: type = LLM_TYPE_20B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_deepseek::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + // try to load output.weight, if not found, use token_embd (tied embeddings) + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (i < (int) hparams.n_layer_dense_lead) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + // MoE branch + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + + // Shared expert branch + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + } + } +} + +std::unique_ptr llama_model_deepseek::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_deepseek::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/deepseek2.cpp b/src/models/deepseek2.cpp index 303fc72c61..1fe54adc13 100644 --- a/src/models/deepseek2.cpp +++ b/src/models/deepseek2.cpp @@ -1,6 +1,149 @@ #include "models.h" -llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_graph_params & params) : +void llama_model_deepseek2::load_arch_hparams(llama_model_loader & ml) { + uint32_t n_vocab = 0; + ml.get_key(LLM_KV_VOCAB_SIZE, n_vocab, false) || ml.get_arr_n(LLM_KV_TOKENIZER_LIST, n_vocab, false); + + // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B, Kanana-2-30B-A3B + const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26 || (hparams.n_layer == 48 && n_vocab == 128256)); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + if (!is_lite) { + ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); + } + ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); + ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl, false); + ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { + // for compatibility with existing DeepSeek V2 and V2.5 GGUFs + // that have no expert_gating_func model parameter set + if ((hparams.n_layer == 47 || hparams.n_layer == 48) && n_vocab == 154880) { + // GLM 4.7 Lite + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; + } else { + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX; + } + } + + if (ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul, false)) { + // [TAG_DEEPSEEK2_YARN_LOG_MUL_FIX] + // cancel the factor from the convert script + hparams.rope_yarn_log_mul /= 0.1f; + } + + // (optional) temperature tuning - used by mistral-large + ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE, hparams.f_attn_temp_scale, false); + ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.n_attn_temp_floor_scale, false); // FIXME why not use temperature_length? + + hparams.f_attn_temp_offset = 0.0f; + + switch (hparams.n_layer) { + case 27: type = LLM_TYPE_16B; break; + case 47: type = LLM_TYPE_30B_A3B; break; + case 60: type = LLM_TYPE_236B; break; + case 61: type = LLM_TYPE_671B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_deepseek2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + const bool is_mla = hparams.is_mla(); + + // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA + const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); + const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); + + const int64_t n_embd_head_qk_rope = hparams.n_rot(); + const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; + GGML_ASSERT(n_embd_head_qk_nope >= 1); + + const int64_t q_lora_rank = hparams.n_lora_q; + const int64_t kv_lora_rank = hparams.n_lora_kv; + + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + // try to load output.weight, if not found, use token_embd (tied embeddings) + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + if (q_lora_rank > 0) { + layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0); + } + + layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); + + if (q_lora_rank > 0) { + layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0); + layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0); + } else { + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0); + } + + layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, 0); + + // note: only old legacy GGUF files will have the unsplit wkv_b tensor in + if (is_mla) { + layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, 0); + layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0); + } else { + layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v_mla)}, 0); + } + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (i < (int) hparams.n_layer_dense_lead) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + // MoE branch + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); + + // Shared expert branch + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + } + } +} + +std::unique_ptr llama_model_deepseek2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_deepseek2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B bool is_ocr = model.arch == LLM_ARCH_DEEPSEEK2OCR; diff --git a/src/models/deepseek2ocr.cpp b/src/models/deepseek2ocr.cpp new file mode 100644 index 0000000000..f9e4c98785 --- /dev/null +++ b/src/models/deepseek2ocr.cpp @@ -0,0 +1,82 @@ +#include "models.h" + +void llama_model_deepseek2ocr::load_arch_hparams(llama_model_loader & ml) { + // similar to deepseek2, but without MLA + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + + if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX; + } + + switch (hparams.n_layer) { + case 12: type = LLM_TYPE_3B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_deepseek2ocr::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + // similar to deepseek2, but without MLA + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + // try to load output.weight, if not found, use token_embd (tied embeddings) + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0); + layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd}, 0); + layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + // norm + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (i < (int) hparams.n_layer_dense_lead) { + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + // MoE branch + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); + + // Shared expert branch + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + } + } +} + +std::unique_ptr llama_model_deepseek2ocr::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/dots1.cpp b/src/models/dots1.cpp index 5d1750fedd..93cbcf9d93 100644 --- a/src/models/dots1.cpp +++ b/src/models/dots1.cpp @@ -1,6 +1,76 @@ #include "models.h" -llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_params & params) : +void llama_model_dots1::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + switch (hparams.n_layer) { + case 62: type = LLM_TYPE_142B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_dots1::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_head_k * n_head, n_embd_head_k * n_head, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (i < (int) hparams.n_layer_dense_lead) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + // MoE branch + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + + // Shared expert branch + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0); + } + } +} + +std::unique_ptr llama_model_dots1::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_dots1::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/dream.cpp b/src/models/dream.cpp index 8e7d9ae64c..60a3f0ec28 100644 --- a/src/models/dream.cpp +++ b/src/models/dream.cpp @@ -1,6 +1,54 @@ #include "models.h" -llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_params & params) : +void llama_model_dream::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + // Dream models are primarily 7B with 28 layers + switch (hparams.n_layer) { + case 28: + type = LLM_TYPE_7B; + break; + default: + type = LLM_TYPE_UNKNOWN; + } + // Set non-causal attention for diffusion models + hparams.causal_attn = false; +} + +void llama_model_dream::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_dream::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_dream::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { //copied from qwen2 const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/ernie4-5-moe.cpp b/src/models/ernie4-5-moe.cpp index fc6a3e17a0..2bd01a2c51 100644 --- a/src/models/ernie4-5-moe.cpp +++ b/src/models/ernie4-5-moe.cpp @@ -1,6 +1,10 @@ #include "models.h" -llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params) : +std::unique_ptr llama_model_ernie4_5_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_ernie4_5_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/ernie4-5.cpp b/src/models/ernie4-5.cpp index 033ba409ea..fa989fe92c 100644 --- a/src/models/ernie4-5.cpp +++ b/src/models/ernie4-5.cpp @@ -1,6 +1,79 @@ #include "models.h" -llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_graph_params & params) : +void llama_model_ernie4_5::load_arch_hparams(llama_model_loader & ml) { + // paddleocr need mrope_section + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + if (arch == LLM_ARCH_ERNIE4_5_MOE) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, hparams.n_moe_layer_step); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + } + + switch (hparams.n_layer) { + case 18: type = LLM_TYPE_0_3B; break; + case 28: type = LLM_TYPE_21B_A3B; break; + case 54: type = LLM_TYPE_300B_A47B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_ernie4_5::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (arch == LLM_ARCH_ERNIE4_5_MOE && static_cast(i) >= hparams.n_layer_dense_lead) { // MoE layers + int n_ff_exp = hparams.n_ff_exp; + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + + // Shared expert (if present) + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd }, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp}, 0); + } + } else { // Dense layers + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + } +} + +std::unique_ptr llama_model_ernie4_5::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_ernie4_5::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/eurobert.cpp b/src/models/eurobert.cpp index 43fff4daf3..ddf13c3028 100644 --- a/src/models/eurobert.cpp +++ b/src/models/eurobert.cpp @@ -1,6 +1,41 @@ #include "models.h" -llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_eurobert::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + if (hparams.n_layer == 12) { + type = LLM_TYPE_SMALL; // 0.2B + } +} + +void llama_model_eurobert::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + } +} + +std::unique_ptr llama_model_eurobert::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_eurobert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/exaone-moe.cpp b/src/models/exaone-moe.cpp index 7b88a31d39..54bb3ca86b 100644 --- a/src/models/exaone-moe.cpp +++ b/src/models/exaone-moe.cpp @@ -1,6 +1,117 @@ #include "models.h" -llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_graph_params & params) : +void llama_model_exaone_moe::load_arch_hparams(llama_model_loader & ml) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + hparams.n_swa = 128; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + + ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_30B_A3B; break; + case 48: + case 49: type = LLM_TYPE_235B_A22B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_exaone_moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t n_ff_exp = hparams.n_ff_exp; + const int64_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : n_ff_exp; + const int64_t head_dim = hparams.n_embd_head_k(); + const int64_t n_qo_dim = n_head * head_dim; + const int64_t n_kv_dim = n_head_kv * head_dim; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + int flags = 0; + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + // skip all tensors in the NextN layers + flags |= TENSOR_SKIP; + } + + auto & layer = layers[i]; + create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, flags); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, flags); + + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0) | flags); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); + + // dense layers for first n_layer_dense_lead layers or nextn_predict_layers layers at the end + if (i < (int) hparams.n_layer_dense_lead || (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers)) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, flags); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, flags); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, flags); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, flags); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, flags); + + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags); + } + + // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), {2 * n_embd, n_embd}, flags); + layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), {n_embd}, flags); + layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), {n_embd}, flags); + + layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), {n_embd}, flags | TENSOR_NOT_REQUIRED); + layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED); + layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED); + } + } +} + +std::unique_ptr llama_model_exaone_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_exaone_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_k(); diff --git a/src/models/exaone.cpp b/src/models/exaone.cpp index 4f845bf410..75d5f60631 100644 --- a/src/models/exaone.cpp +++ b/src/models/exaone.cpp @@ -1,6 +1,49 @@ #include "models.h" -llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_params & params) : +void llama_model_exaone::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_8B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_exaone::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_exaone::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_exaone::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/exaone4.cpp b/src/models/exaone4.cpp index 34bee3b8fe..5506e76424 100644 --- a/src/models/exaone4.cpp +++ b/src/models/exaone4.cpp @@ -1,7 +1,71 @@ #include "models.h" +void llama_model_exaone4::load_arch_hparams(llama_model_loader & ml) { + if (hparams.n_layer == 64) { // 32B + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + hparams.n_swa = 4096; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + } + + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 30: type = LLM_TYPE_1_2B; break; + case 64: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_exaone4::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_exaone4::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { + return std::make_unique>(*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_exaone4::llm_build_exaone4(const llama_model & model, const llm_graph_params & params) : +llama_model_exaone4::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_k(); @@ -108,5 +172,5 @@ llm_build_exaone4::llm_build_exaone4(const llama_model & model, const llm_ } // Explicit template instantiations -template struct llm_build_exaone4; -template struct llm_build_exaone4; +template struct llama_model_exaone4::graph; +template struct llama_model_exaone4::graph; diff --git a/src/models/falcon-h1.cpp b/src/models/falcon-h1.cpp index 05accf90fa..d353befdb8 100644 --- a/src/models/falcon-h1.cpp +++ b/src/models/falcon-h1.cpp @@ -1,6 +1,115 @@ #include "models.h" -llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_graph_params & params) : +void llama_model_falcon_h1::load_arch_hparams(llama_model_loader & ml) { + // Common parameters + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + // SSM parameters + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + std::fill(hparams.recurrent_layer_arr.begin(), hparams.recurrent_layer_arr.end(), true); + + switch (hparams.n_layer) { + case 36: + type = LLM_TYPE_0_5B; break; + case 24: + type = LLM_TYPE_1_5B; break; + case 66: + type = LLM_TYPE_1B; break; + case 32: + type = LLM_TYPE_3B; break; + case 44: + type = LLM_TYPE_7B; break; + case 72: + type = LLM_TYPE_34B; break; + default: + type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_falcon_h1::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + // Common + const int64_t hidden_size = hparams.n_embd; // hidden_size + + // mamba2 Mixer SSM params + const int64_t ssm_conv_kernel_size = hparams.ssm_d_conv; // ssm_conv_kernel_size + const int64_t ssm_n_groups = hparams.ssm_n_group; // ssm_n_groups + const int64_t ssm_state_size = hparams.ssm_d_state; // ssm_state_size + const int64_t ssm_intermediate_size = hparams.ssm_d_inner; // TODO expand + const int64_t ssm_num_heads = hparams.ssm_dt_rank; // ssm_num_heads + const int64_t ssm_conv_dim = ssm_intermediate_size + 2 * ssm_n_groups * ssm_state_size; + const int64_t ssm_projection_size = ssm_intermediate_size + ssm_conv_dim + ssm_num_heads; + + // attn params + const int64_t attn_num_attention_head = hparams.n_head(0); // rename to: attn_num_attention_head + const int64_t attn_num_key_value_head = hparams.n_head_kv(0); + + // ffn params + const int64_t ffn_intermediate_size = hparams.n_ff(0); + + // embeddings + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, 0); + + // output + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hidden_size, n_vocab}, TENSOR_NOT_REQUIRED); + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {hidden_size}, 0); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + /*SSM LAYERS*/ + // ssm in + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {hidden_size, ssm_projection_size}, 0); + // ssm 1d conv + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {ssm_conv_kernel_size, ssm_conv_dim}, 0); + layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {ssm_conv_dim}, TENSOR_NOT_REQUIRED); + // ssm_dt + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {ssm_num_heads}, 0); + // no "weight" suffix for these + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, ssm_num_heads}, 0); + layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, ssm_num_heads}, 0); + // ssm_norm + layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {ssm_intermediate_size / ssm_n_groups, ssm_n_groups}, TENSOR_NOT_REQUIRED); + // out_proj + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {ssm_intermediate_size, hidden_size}, 0); + + /*ATTENTION LAYERS*/ + // attention layers (with optional bias) + create_tensor_qkv(layer, i, hidden_size, n_embd_head_k * attn_num_attention_head, attn_num_key_value_head * n_embd_head_k, attn_num_key_value_head * n_embd_head_v, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * attn_num_attention_head, hidden_size}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED); + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {hidden_size}, 0); + + + // feed forward (w/ optional biases) + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, i), {hidden_size}, 0); + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {hidden_size, ffn_intermediate_size}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { ffn_intermediate_size, hidden_size}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {hidden_size, ffn_intermediate_size}, 0); + + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_falcon_h1::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_falcon_h1::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/falcon.cpp b/src/models/falcon.cpp index 2f65fa56e1..75f2cfef56 100644 --- a/src/models/falcon.cpp +++ b/src/models/falcon.cpp @@ -1,6 +1,53 @@ #include "models.h" -llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_falcon::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 60: type = LLM_TYPE_40B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_falcon::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + { + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU + } + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_falcon::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_falcon::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/gemma-embedding.cpp b/src/models/gemma-embedding.cpp index b6de9551c5..4e07f5f2bd 100644 --- a/src/models/gemma-embedding.cpp +++ b/src/models/gemma-embedding.cpp @@ -1,6 +1,78 @@ #include "models.h" -llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model, const llm_graph_params & params) : +void llama_model_gemma_embedding::load_arch_hparams(llama_model_loader & ml) { + hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; + uint32_t swa_period = 6; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + + hparams.causal_attn = false; // embeddings do not use causal attention + + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + //applied only if model converted with --sentence-transformers-dense-modules + ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false); + ml.get_key(LLM_KV_DENSE_2_FEAT_OUT, hparams.dense_2_feat_out, false); + ml.get_key(LLM_KV_DENSE_3_FEAT_IN, hparams.dense_3_feat_in, false); + ml.get_key(LLM_KV_DENSE_3_FEAT_OUT, hparams.dense_3_feat_out, false); + + GGML_ASSERT((hparams.dense_2_feat_in == 0 || hparams.dense_2_feat_in == hparams.n_embd) && "dense_2_feat_in must be equal to n_embd"); + GGML_ASSERT((hparams.dense_3_feat_out == 0 || hparams.dense_3_feat_out == hparams.n_embd) && "dense_3_feat_out must be equal to n_embd"); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_0_3B; break; + default: type = LLM_TYPE_UNKNOWN; + } + hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k())); + +} + +void llama_model_gemma_embedding::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + // Dense linear weights + dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.dense_2_feat_out}, TENSOR_NOT_REQUIRED); + dense_3_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_3_OUT, "weight"), {hparams.dense_3_feat_in, n_embd}, TENSOR_NOT_REQUIRED); + + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_gemma_embedding::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_gemma_embedding::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_k(); diff --git a/src/models/gemma.cpp b/src/models/gemma.cpp index 09d2ff8bae..0673167000 100644 --- a/src/models/gemma.cpp +++ b/src/models/gemma.cpp @@ -1,6 +1,44 @@ #include "models.h" -llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_gemma::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 18: type = LLM_TYPE_2B; break; + case 28: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_gemma::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + } +} + +std::unique_ptr llama_model_gemma::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_gemma::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); ggml_tensor * cur; diff --git a/src/models/gemma2-iswa.cpp b/src/models/gemma2.cpp similarity index 53% rename from src/models/gemma2-iswa.cpp rename to src/models/gemma2.cpp index 0ef07df8d0..6255bf740f 100644 --- a/src/models/gemma2-iswa.cpp +++ b/src/models/gemma2.cpp @@ -1,6 +1,65 @@ #include "models.h" -llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_gemma2::load_arch_hparams(llama_model_loader & ml) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + hparams.n_swa = 4096; // default value of gemma 2 + uint32_t swa_period = 2; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + hparams.attn_soft_cap = true; + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING, hparams.f_attn_logit_softcapping, false); + ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); + + switch (hparams.n_layer) { + case 26: type = LLM_TYPE_2B; break; + case 42: type = LLM_TYPE_9B; break; + case 46: type = LLM_TYPE_27B; break; + default: type = LLM_TYPE_UNKNOWN; + } + + // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L173 + hparams.f_attention_scale = type == LLM_TYPE_27B + ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0))) + : 1.0f / std::sqrt(float(hparams.n_embd_head_k())); +} + +void llama_model_gemma2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_gemma2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_gemma2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_k(); ggml_tensor * cur; diff --git a/src/models/gemma3.cpp b/src/models/gemma3.cpp index 0da4af21c1..ee510fe38b 100644 --- a/src/models/gemma3.cpp +++ b/src/models/gemma3.cpp @@ -1,7 +1,87 @@ #include "models.h" +void llama_model_gemma3::load_arch_hparams(llama_model_loader & ml) { + const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + if (found_swa && hparams.n_swa > 0) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + uint32_t swa_period = 6; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + } else { + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + } + + hparams.f_final_logit_softcapping = 0.0f; + ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 18: type = LLM_TYPE_270M; break; + case 26: type = LLM_TYPE_1B; break; + case 32: type = LLM_TYPE_8B; break; // Rnj-1 + case 34: type = LLM_TYPE_4B; break; + case 48: type = LLM_TYPE_12B; break; + case 62: type = LLM_TYPE_27B; break; + default: type = LLM_TYPE_UNKNOWN; + } + + // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L289 + hparams.f_attention_scale = type == LLM_TYPE_27B + ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0))) + : 1.0f / std::sqrt(float(hparams.n_embd_head_k())); +} + +void llama_model_gemma3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + // Dense linear weights + dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.dense_2_feat_out}, TENSOR_NOT_REQUIRED); + dense_3_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_3_OUT, "weight"), {hparams.dense_3_feat_in, n_embd}, TENSOR_NOT_REQUIRED); + + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_gemma3::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { + return std::make_unique>(*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_gemma3::llm_build_gemma3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_gemma3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_k(); ggml_tensor * cur; @@ -141,5 +221,5 @@ llm_build_gemma3::llm_build_gemma3(const llama_model & model, const llm_gr ggml_build_forward_expand(gf, cur); } -template struct llm_build_gemma3; -template struct llm_build_gemma3; +template struct llama_model_gemma3::graph; +template struct llama_model_gemma3::graph; diff --git a/src/models/gemma3n-iswa.cpp b/src/models/gemma3n.cpp similarity index 76% rename from src/models/gemma3n-iswa.cpp rename to src/models/gemma3n.cpp index f8095417e0..881499b0ca 100644 --- a/src/models/gemma3n-iswa.cpp +++ b/src/models/gemma3n.cpp @@ -1,5 +1,86 @@ #include "models.h" +void llama_model_gemma3n::load_arch_hparams(llama_model_loader & ml) { + uint32_t swa_period = 5; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + hparams.set_swa_pattern(swa_period); + + hparams.n_layer_kv_from_start = 20; + hparams.f_attention_scale = 1.0f; + + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 30: type = LLM_TYPE_E2B; break; + case 35: type = LLM_TYPE_E4B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_gemma3n::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t n_altup = hparams.n_altup; + const int64_t laurel_rank = hparams.laurel_rank; + const int64_t n_embd_altup = hparams.n_embd_altup; + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + altup_proj = create_tensor(tn(LLM_TENSOR_ALTUP_PROJ, "weight"), {n_embd, n_embd, n_altup - 1}, 0); + altup_unembd_proj = create_tensor(tn(LLM_TENSOR_ALTUP_UNEMBD_PROJ, "weight"), {n_embd, n_embd, n_altup - 1}, 0); + + per_layer_tok_embd = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_altup * n_layer, n_vocab}, 0); + per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_altup * n_layer}, 0); + per_layer_proj_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM, "weight", 0), {n_embd_altup}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + + // altup & laurel + layer.per_layer_inp_gate = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE, "weight", i), {n_embd, n_embd_altup}, 0); + layer.per_layer_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ, "weight", i), {n_embd_altup, n_embd}, 0); + layer.per_layer_post_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0); + layer.altup_correct_coef = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_COEF, "weight", i), {n_altup, n_altup}, 0); + layer.altup_correct_scale = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_SCALE, "weight", i), {n_embd}, 0); + layer.altup_predict_coef = create_tensor(tn(LLM_TENSOR_ALTUP_PREDICT_COEF, "weight", i), {n_altup, n_altup * n_altup}, 0); + layer.altup_router = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER, "weight", i), {n_embd, n_altup}, 0); + layer.altup_router_norm = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER_NORM, "weight", i), {n_embd}, 0); + layer.laurel_l = create_tensor(tn(LLM_TENSOR_LAUREL_L, "weight", i), {n_embd, laurel_rank}, 0); + layer.laurel_r = create_tensor(tn(LLM_TENSOR_LAUREL_R, "weight", i), {laurel_rank, n_embd}, 0); + layer.laurel_post_norm = create_tensor(tn(LLM_TENSOR_LAUREL_POST_NORM, "weight", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_gemma3n::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + // get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim static ggml_tensor * ggml_view_2d_slice(ggml_context * ctx0, ggml_tensor * x, int idx) { GGML_ASSERT(idx < (int) x->ne[2]); @@ -7,7 +88,7 @@ static ggml_tensor * ggml_view_2d_slice(ggml_context * ctx0, ggml_tensor * x, in idx * x->ne[0] * x->ne[1] * ggml_element_size(x)); } -llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params) : +llama_model_gemma3n::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params), model(model), n_embd_head(model.hparams.n_embd_head_k()), @@ -229,13 +310,13 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const ggml_build_forward_expand(gf, cur); } -ggml_tensor * llm_build_gemma3n_iswa::calc_magnitude(ggml_tensor * x) { +ggml_tensor * llama_model_gemma3n::graph::calc_magnitude(ggml_tensor * x) { return ggml_sqrt(ctx0, ggml_sum_rows(ctx0, ggml_sqr(ctx0, x))); } // equivalent to get_per_layer_inputs() in python code // output shape: [n_embd_altup, n_layer, n_tokens] -ggml_tensor * llm_build_gemma3n_iswa::build_inp_per_layer() { +ggml_tensor * llama_model_gemma3n::graph::build_inp_per_layer() { auto inp = std::make_unique(n_embd); ggml_tensor * inp_per_layer; float tok_embd_scale = sqrtf((float) n_embd_altup); @@ -268,7 +349,7 @@ ggml_tensor * llm_build_gemma3n_iswa::build_inp_per_layer() { // equivalent to project_per_layer_inputs() in python code // this calculates the per-layer inputs, so the final tensor shape will have n_layer as the last dim // output shape: [n_embd_altup, n_tokens, n_layer] -ggml_tensor * llm_build_gemma3n_iswa::project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer) { +ggml_tensor * llama_model_gemma3n::graph::project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer) { const float per_layer_projection_scale = 1.0f / sqrtf((float) n_embd); const float per_layer_input_scale = 1.0f / sqrtf(2.0f); @@ -291,7 +372,7 @@ ggml_tensor * llm_build_gemma3n_iswa::project_per_layer_inputs(ggml_tensor * inp // input cur shape: [n_altup, n_tokens] // output shape: [n_altup, n_tokens] -ggml_tensor * llm_build_gemma3n_iswa::laurel(ggml_tensor * cur, int il) { +ggml_tensor * llama_model_gemma3n::graph::laurel(ggml_tensor * cur, int il) { ggml_tensor * tmp = cur; tmp = build_lora_mm(model.layers[il].laurel_l, tmp); tmp = build_lora_mm(model.layers[il].laurel_r, tmp); @@ -303,7 +384,7 @@ ggml_tensor * llm_build_gemma3n_iswa::laurel(ggml_tensor * cur, int il) { // input x shape: [n_embd, n_tokens] // output shape: [n_embd, n_tokens] -ggml_tensor * llm_build_gemma3n_iswa::gaussian_topk(ggml_tensor * x) { +ggml_tensor * llama_model_gemma3n::graph::gaussian_topk(ggml_tensor * x) { ggml_tensor * mean = ggml_mean(ctx0, x); ggml_tensor * std = ggml_sqrt(ctx0, ggml_scale(ctx0, ggml_sum_rows(ctx0, ggml_sqr(ctx0, ggml_sub(ctx0, x, mean))), 1.0f / (float) (x->ne[0] - 1))); @@ -318,7 +399,7 @@ ggml_tensor * llm_build_gemma3n_iswa::gaussian_topk(ggml_tensor * x) { // equivalent to compute_router_modalities() in python code // input x shape: [n_embd, n_tokens] // output shape: [n_altup, n_tokens] -ggml_tensor * llm_build_gemma3n_iswa::altup_compute_router_modalities(ggml_tensor * x, int il) { +ggml_tensor * llama_model_gemma3n::graph::altup_compute_router_modalities(ggml_tensor * x, int il) { ggml_tensor * router_inputs = build_norm(x, model.layers[il].altup_router_norm, NULL, LLM_NORM_RMS, il); // router_input_scale @@ -330,7 +411,7 @@ ggml_tensor * llm_build_gemma3n_iswa::altup_compute_router_modalities(ggml_tenso // input cur shape: [n_embd, n_tokens, n_altup] // output shape: [n_embd, n_tokens, n_altup] -ggml_tensor * llm_build_gemma3n_iswa::altup_predict(ggml_tensor * cur, int il) { +ggml_tensor * llama_model_gemma3n::graph::altup_predict(ggml_tensor * cur, int il) { ggml_tensor * activated = ggml_view_2d_slice(ctx0, cur, i_altup_act); // [n_embd, n_tokens] ggml_tensor * modalities = altup_compute_router_modalities(activated, il); // [n_altup, n_tokens] cb(modalities, "modalities", il); @@ -355,7 +436,7 @@ ggml_tensor * llm_build_gemma3n_iswa::altup_predict(ggml_tensor * cur, int il) { // input predictions shape: [n_embd, n_tokens, n_altup] // input activated shape: [n_embd, n_tokens] // output shape: [n_embd, n_tokens, n_altup] -ggml_tensor * llm_build_gemma3n_iswa::altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il) { +ggml_tensor * llama_model_gemma3n::graph::altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il) { ggml_tensor * modalities = altup_compute_router_modalities(activated, il); // [n_altup, n_tokens] cb(modalities, "modalities", il); diff --git a/src/models/gemma4-iswa.cpp b/src/models/gemma4.cpp similarity index 62% rename from src/models/gemma4-iswa.cpp rename to src/models/gemma4.cpp index c7fb774741..f45ae4cad5 100644 --- a/src/models/gemma4-iswa.cpp +++ b/src/models/gemma4.cpp @@ -1,5 +1,140 @@ #include "models.h" +void llama_model_gemma4::load_arch_hparams(llama_model_loader & ml) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); + + uint32_t n_kv_shared_layers = 0; + ml.get_key(LLM_KV_ATTENTION_SHARED_KV_LAYERS, n_kv_shared_layers, false); + + hparams.n_layer_kv_from_start = hparams.n_layer - (int32_t)n_kv_shared_layers; + hparams.f_attention_scale = 1.0f; // Gemma4 uses self.scaling = 1.0 (no pre-attn scaling) + + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EMBEDDING_LENGTH_PER_LAYER, hparams.n_embd_per_layer); + ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_SWA, hparams.n_embd_head_k_swa); + ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_SWA, hparams.n_embd_head_v_swa); + ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); + + switch (hparams.n_layer) { + case 30: type = LLM_TYPE_26B_A4B; break; + case 35: type = LLM_TYPE_E2B; break; + case 42: type = LLM_TYPE_E4B; break; + case 60: type = LLM_TYPE_31B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_gemma4::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const uint32_t n_embd_per_layer = hparams.n_embd_per_layer; + const int64_t n_ff_exp = hparams.n_ff_exp; + + if (n_embd_head_k != n_embd_head_v) { + throw std::runtime_error("Gemma 4 requires n_embd_head_k == n_embd_head_v"); + } + if (hparams.n_embd_head_k_swa != hparams.n_embd_head_v_swa) { + throw std::runtime_error("Gemma 4 requires n_embd_head_k_swa == n_embd_head_v_swa"); + } + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + if (n_embd_per_layer > 0) { + per_layer_tok_embd = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_per_layer * n_layer, n_vocab}, 0); + per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_per_layer * n_layer}, 0); + per_layer_proj_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM, "weight", 0), {n_embd_per_layer}, 0); + } + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + int rope_freqs_flag = 0; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + const int64_t n_head = hparams.n_head(i); + const int64_t n_embd_head = hparams.n_embd_head_k(i); + const int64_t n_embd_k = hparams.n_embd_k_gqa(i); + const int64_t n_embd_v = hparams.n_embd_v_gqa(i); + const int kv_flags = hparams.has_kv(i) ? 0 : TENSOR_NOT_REQUIRED; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + // note: use_alternative_attention (v_proj is optional, if it's not present, use k_proj) + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head * n_head}, 0); + layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k}, kv_flags); + layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v}, TENSOR_NOT_REQUIRED); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head * n_head, n_embd}, 0); + + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head}, kv_flags); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + + layer.out_scale = create_tensor(tn(LLM_TENSOR_LAYER_OUT_SCALE, "weight", i), {1u}, TENSOR_NOT_REQUIRED); + + if (!hparams.is_swa(i)) { + // full_attention layers use rope_freqs for proportional rope + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_embd_head/2}, rope_freqs_flag); + rope_freqs_flag = TENSOR_DUPLICATED; + } + + // handle use_double_wide_mlp + int64_t n_ff_cur = hparams.n_ff(i); + + // for expert layers, we use normal FFN as shared expert (same as python code) + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff_cur}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff_cur}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + + // MoE router + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED); + bool has_expert = layer.ffn_gate_inp != nullptr; + + // norm + if (has_expert) { + layer.ffn_gate_inp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "scale", i), {n_embd}, 0); + + layer.ffn_pre_norm_2 = create_tensor(tn(LLM_TENSOR_FFN_PRE_NORM_2, "weight", i), {n_embd}, 0); + layer.ffn_post_norm_1 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_1, "weight", i), {n_embd}, 0); + layer.ffn_post_norm_2 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_2, "weight", i), {n_embd}, 0); + + // MoE FFN + layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", i), {n_embd, n_ff_exp * 2, n_expert}, TENSOR_NOT_REQUIRED); + + if (layer.ffn_gate_up_exps == nullptr) { + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + } + + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + + // per-expert scale will be loaded as down_exps_s at the end of the current switch case + } + + // per-layer embeddings + if (n_embd_per_layer > 0) { + layer.per_layer_inp_gate = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE, "weight", i), {n_embd, n_embd_per_layer}, 0); + layer.per_layer_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ, "weight", i), {n_embd_per_layer, n_embd}, 0); + layer.per_layer_post_norm = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0); + } + } +} + +std::unique_ptr llama_model_gemma4::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + // get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim static ggml_tensor * ggml_view_2d_slice(ggml_context * ctx0, ggml_tensor * x, int idx) { GGML_ASSERT(idx < (int) x->ne[2]); @@ -7,7 +142,7 @@ static ggml_tensor * ggml_view_2d_slice(ggml_context * ctx0, ggml_tensor * x, in idx * x->ne[0] * x->ne[1] * ggml_element_size(x)); } -llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const llm_graph_params & params) : +llama_model_gemma4::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params), model(model), n_embd_per_layer(model.hparams.n_embd_per_layer) { @@ -157,8 +292,8 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll cur_moe = build_moe_ffn(cur_moe, nullptr, // gate_inp - nullptr, // up_exps - nullptr, // gate_exps + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, nullptr, // exp_probs_b (not used for gemma4) n_expert, n_expert_used, @@ -167,8 +302,8 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, logits, model.layers[il].ffn_gate_up_exps, - nullptr, // up_exps_s - nullptr, // gate_exps_s + model.layers[il].ffn_up_exps_s, + model.layers[il].ffn_gate_exps_s, model.layers[il].ffn_down_exps_s); cur_moe = build_norm(cur_moe, model.layers[il].ffn_post_norm_2, nullptr, @@ -261,7 +396,7 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll // equivalent to get_per_layer_inputs() in python code // output shape: [n_embd_per_layer, n_layer, n_tokens] -ggml_tensor * llm_build_gemma4_iswa::build_inp_per_layer() { +ggml_tensor * llama_model_gemma4::graph::build_inp_per_layer() { auto inp = std::make_unique(n_embd); ggml_tensor * inp_per_layer; @@ -299,7 +434,7 @@ ggml_tensor * llm_build_gemma4_iswa::build_inp_per_layer() { // inp_batch shape: [n_embd, n_tokens] // inp_per_layer shape: [n_embd_per_layer, n_layer, n_tokens] (from build_inp_per_layer) // output shape: [n_embd_per_layer, n_tokens, n_layer] -ggml_tensor * llm_build_gemma4_iswa::project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer) { +ggml_tensor * llama_model_gemma4::graph::project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer) { const float per_layer_projection_scale = 1.0f / sqrtf((float) n_embd); const float per_layer_input_scale = 1.0f / sqrtf(2.0f); diff --git a/src/models/glm-dsa.cpp b/src/models/glm-dsa.cpp new file mode 100644 index 0000000000..af2b55ef56 --- /dev/null +++ b/src/models/glm-dsa.cpp @@ -0,0 +1,155 @@ +#include "models.h" + +void llama_model_glm_dsa::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); + + // MoE parameters + ml.get_key(LLM_KV_EXPERT_COUNT, hparams.n_expert); + ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + + // deepseek MLA parameters + ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); + ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); + ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl, false); + ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + + // DSA parameters + ml.get_key(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, hparams.indexer_n_head); + ml.get_key(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, hparams.indexer_head_size); + ml.get_key(LLM_KV_ATTENTION_INDEXER_TOP_K, hparams.indexer_top_k); + + // Expert gating function (GLM-4.5 uses sigmoid) + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; + } + + // NextN/MTP parameters + ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); + + // TODO: when MTP is implemented, this should probably be updated if needed + hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; + + switch (hparams.n_layer) { + case 79: type = LLM_TYPE_744B_A40B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_glm_dsa::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + const bool is_mla = hparams.is_mla(); + if (!is_mla) { + throw std::runtime_error("GLM_DSA architecture requires MLA"); + } + + // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA + const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); + const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); + + const int64_t n_embd_head_qk_rope = hparams.n_rot(); + const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; + + const int64_t q_lora_rank = hparams.n_lora_q; + const int64_t kv_lora_rank = hparams.n_lora_kv; + + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + // try to load output.weight, if not found, use token_embd (tied embeddings) + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + int flags = 0; + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + // skip all tensors in the NextN layers + // TODO @ngxson : TENSOR_NOT_REQUIRED was a hack, need to remove it later + flags |= TENSOR_SKIP | TENSOR_NOT_REQUIRED; + } + + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); + layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, flags); + layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, flags); + + layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, flags); + layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, flags); + + layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, flags); + + // note: only old legacy GGUF files will have the unsplit wkv_b tensor in + layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, flags); + layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, flags); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, flags); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); + + // DSA indexer + layer.indexer_k_norm = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM, "weight", i), {hparams.indexer_head_size}, flags); + layer.indexer_k_norm_b = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM, "bias", i), {hparams.indexer_head_size}, flags); + layer.indexer_proj = create_tensor(tn(LLM_TENSOR_INDEXER_PROJ, "weight", i), {n_embd, hparams.indexer_n_head}, flags); + layer.indexer_attn_k = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_K, "weight", i), {n_embd, hparams.indexer_head_size}, flags); + layer.indexer_attn_q_b = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_Q_B, "weight", i), {q_lora_rank, hparams.indexer_n_head * hparams.indexer_head_size}, flags); + if (i < (int) hparams.n_layer_dense_lead) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, flags); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, flags); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + // MoE branch + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, flags); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, flags); + + // Shared expert branch + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_exp * n_expert_shared, n_embd}, flags); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags); + } + + // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); + layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); + layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); + + // Optional tensors + layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); + layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); + layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED); + } + } +} + +std::unique_ptr llama_model_glm_dsa::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/glm4-moe.cpp b/src/models/glm4-moe.cpp index 8d4f4a0155..45886b51ac 100644 --- a/src/models/glm4-moe.cpp +++ b/src/models/glm4-moe.cpp @@ -1,6 +1,139 @@ #include "models.h" -llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_glm4_moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); + + // MoE parameters + ml.get_key(LLM_KV_EXPERT_COUNT, hparams.n_expert); + ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + + // Expert gating function (GLM-4.5 uses sigmoid) + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; + } + + // NextN/MTP parameters + ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); + + // TODO: when MTP is implemented, this should probably be updated if needed + hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; + + switch (hparams.n_layer) { + case 47: type = LLM_TYPE_106B_A12B; break; // GLM-4.5-Air (46 layers + 1 NextN layer) + case 48: type = LLM_TYPE_102B_A12B; break; // Solar Open + case 93: type = LLM_TYPE_355B_A32B; break; // GLM-4.5 (92 layers + 1 NextN layer) + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_glm4_moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + const int64_t n_expert_shared = hparams.n_expert_shared; + + + GGML_ASSERT(hparams.n_expert > 0 && "n_expert must be > 0 for GLM4_MOE MoE layers"); + GGML_ASSERT(hparams.n_expert_used > 0 && "n_expert_used must be > 0 for GLM4_MOE MoE layers"); + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); + } + + // Load ALL tensors including NextN layer to satisfy total tensor count + // but only PROCESS up to last layer (skipping final NextN layer) in forward pass + for (int i = 0; i < n_layer; ++i) { + int flags = 0; + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + // skip all tensors in the NextN layers + flags |= TENSOR_SKIP; + } + + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, flags); + + // GLM-style attention with bias terms + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, flags); + + // K/Q norm tensors (optional for GLM-4.5 355B variant) + layer.attn_q_norm = create_tensor( + tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags); + layer.attn_k_norm = create_tensor( + tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags); + + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, flags); + + // Check if this layer uses MoE or dense FFN based on n_layer_dense_lead + // GLM 4.5 uses hybrid architecture: layer 0 is dense, layers 1+ are MoE + const bool use_moe = (static_cast(i) >= hparams.n_layer_dense_lead); + + if (use_moe) { + // MoE layers + layer.ffn_gate_inp = + create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, flags); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), { n_expert }, flags); + + // MoE branch + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + layer.ffn_gate_exps = create_tensor( + tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags); + layer.ffn_down_exps = create_tensor( + tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, flags); + layer.ffn_up_exps = create_tensor( + tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags); + + // Shared expert + if (n_expert_shared > 0) { + const int64_t n_ff_shexp = n_ff_exp * n_expert_shared; + layer.ffn_gate_shexp = create_tensor( + tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags); + layer.ffn_down_shexp = create_tensor( + tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, flags); + layer.ffn_up_shexp = create_tensor( + tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags); + } + } else { + // Dense layers (first k layers) - GLM uses separate gate/up projections + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, flags); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, flags); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, flags); + } + + // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); + layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); + layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); + + // Optional tensors + layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); + layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); + layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED); + } + } +} + +std::unique_ptr llama_model_glm4_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_glm4_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/glm4.cpp b/src/models/glm4.cpp index f0bfda393f..d6ef76e26d 100644 --- a/src/models/glm4.cpp +++ b/src/models/glm4.cpp @@ -1,6 +1,78 @@ #include "models.h" -llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_glm4::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); + + // NextN/MTP parameters (GLM-OCR) + ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); + + // TODO: when MTP is implemented, this should probably be updated if needed + hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; + + switch (hparams.n_layer) { + case 17: type = LLM_TYPE_1B; break; // GLM-OCR + case 40: type = LLM_TYPE_9B; break; + case 61: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_glm4::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + int flags = 0; + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + // skip all tensors in the NextN layers + flags |= TENSOR_SKIP; + } + + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags); + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags); + + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, flags); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, flags); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff * 2}, flags); + + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, flags); + + // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers + if (hparams.nextn_predict_layers > 0 && static_cast(i) >= n_layer - hparams.nextn_predict_layers) { + layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags); + layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags); + layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags); + + // Optional tensors + layer.nextn.embed_tokens = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); + layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED); + layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED); + } + } +} + +std::unique_ptr llama_model_glm4::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_glm4::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/gpt2.cpp b/src/models/gpt2.cpp index f8dc53eb72..ba49c31b56 100644 --- a/src/models/gpt2.cpp +++ b/src/models/gpt2.cpp @@ -1,6 +1,60 @@ #include "models.h" -llm_build_gpt2::llm_build_gpt2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_gpt2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + switch (hparams.n_layer) { + case 12: type = LLM_TYPE_SMALL; break; + case 24: type = LLM_TYPE_MEDIUM; break; + case 36: type = LLM_TYPE_LARGE; break; + case 48: type = LLM_TYPE_XL; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_gpt2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + } +} + +std::unique_ptr llama_model_gpt2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_gpt2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/gptneox.cpp b/src/models/gptneox.cpp index 0016ddede4..33ebe2d880 100644 --- a/src/models/gptneox.cpp +++ b/src/models/gptneox.cpp @@ -1,6 +1,89 @@ #include "models.h" -llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_gptneox::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_USE_PARALLEL_RESIDUAL, hparams.use_par_res); + switch (hparams.n_layer) { + case 6: + switch (hparams.n_ff()) { + case 512: type = LLM_TYPE_14M; break; + case 2048: type = LLM_TYPE_70M; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 12: + switch (hparams.n_ff()) { + case 3072: type = LLM_TYPE_160M; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 16: + switch (hparams.n_ff()) { + case 8192: type = LLM_TYPE_1B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 24: + switch (hparams.n_ff()) { + case 4096: type = LLM_TYPE_410M; break; + case 8192: type = LLM_TYPE_1_4B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 32: + switch (hparams.n_ff()) { + case 10240: type = LLM_TYPE_2_8B; break; + case 16384: type = LLM_TYPE_6_9B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 36: + switch (hparams.n_ff()) { + case 20480: type = LLM_TYPE_12B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 44: + switch (hparams.n_ff()) { + case 24576: type = LLM_TYPE_20B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_gptneox::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + } +} + +std::unique_ptr llama_model_gptneox::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_gptneox::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/granite-hybrid.cpp b/src/models/granite-hybrid.cpp index e983742bef..12e4790ae2 100644 --- a/src/models/granite-hybrid.cpp +++ b/src/models/granite-hybrid.cpp @@ -1,6 +1,137 @@ #include "models.h" -llm_build_granite_hybrid::llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params) : +void llama_model_granite_hybrid::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, /* required */ false); + ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, /* required */ false); + ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, /* required */ false); + ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale, /* required */ false); + + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + // Granite uses rope_finetuned as a switch for rope, so default to true + bool rope_finetuned = true; + ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false); + hparams.rope_finetuned = rope_finetuned; + + // A layer is recurrent IFF the n_head_kv value is set to 0 + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; + } + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_embd) { + case 768: type = LLM_TYPE_350M; break; + case 1536: type = (hparams.n_ff() == 512 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break; + case 2048: case 2560: type = LLM_TYPE_3B; break; + case 4096: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } + + // For Granite MoE Shared + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false); +} + +void llama_model_granite_hybrid::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + // mamba2 Mixer SSM params + // NOTE: int64_t for tensor dimensions + const int64_t d_conv = hparams.ssm_d_conv; + const int64_t d_inner = hparams.ssm_d_inner; + const int64_t d_state = hparams.ssm_d_state; + const int64_t n_ssm_head = hparams.ssm_dt_rank; + const int64_t n_group = hparams.ssm_n_group; + const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_ssm_head; + + // only an expansion factor of 2 is supported for now + GGML_ASSERT(2 * n_embd == d_inner); + + // embeddings + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + { + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed, duplicated to allow offloading + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + // norm + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.is_recurrent(i)) { + // ssm layers + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0); + + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0); + layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED); + + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0); + + // no "weight" suffix for these + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0); + layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0); + + layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0); + + // out_proj + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); + } else { + // attention layers (with optional bias) + const int64_t n_head_i = hparams.n_head(i); + const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i); + const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i); + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + } + + // feed forward (w/ optional biases) + if (n_expert > 0) { + // MoE FFN + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + // For Granite MoE Shared + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + } + } else { + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } + } +} + +std::unique_ptr llama_model_granite_hybrid::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_granite_hybrid::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); @@ -67,7 +198,7 @@ llm_build_granite_hybrid::llm_build_granite_hybrid(const llama_model & model, co ggml_build_forward_expand(gf, cur); } -ggml_tensor * llm_build_granite_hybrid::build_attention_layer(ggml_tensor * cur, +ggml_tensor * llama_model_granite_hybrid::graph::build_attention_layer(ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn, const llama_model & model, @@ -98,7 +229,7 @@ ggml_tensor * llm_build_granite_hybrid::build_attention_layer(ggml_tensor * return cur; } -ggml_tensor * llm_build_granite_hybrid::build_layer_ffn(ggml_tensor * cur, +ggml_tensor * llama_model_granite_hybrid::graph::build_layer_ffn(ggml_tensor * cur, ggml_tensor * inpSA, const llama_model & model, const int il) { diff --git a/src/models/granite-moe.cpp b/src/models/granite-moe.cpp new file mode 100644 index 0000000000..0d89bc1f34 --- /dev/null +++ b/src/models/granite-moe.cpp @@ -0,0 +1,89 @@ +#include "models.h" + +void llama_model_granite_moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); + ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, false); + ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, false); + ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale, false); + + // Granite uses rope_finetuned as a switch for rope, so default to true + bool rope_finetuned = true; + ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false); + hparams.rope_finetuned = rope_finetuned; + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_3B; break; + case 40: type = LLM_TYPE_3B; break; + // Add additional layer/vocab/etc checks here for other model sizes + default: type = LLM_TYPE_UNKNOWN; + } + + // For Granite MoE Shared + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false); +} + +void llama_model_granite_moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + if (n_expert == 0) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional MLP bias + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + // For Granite MoE Shared + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + } + } + } +} + +std::unique_ptr llama_model_granite_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/granite.cpp b/src/models/granite.cpp index 6ea9028522..5e7c7b6818 100644 --- a/src/models/granite.cpp +++ b/src/models/granite.cpp @@ -1,6 +1,93 @@ #include "models.h" -llm_build_granite::llm_build_granite( +void llama_model_granite::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); + ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, false); + ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, false); + ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale, false); + + // Granite uses rope_finetuned as a switch for rope, so default to true + bool rope_finetuned = true; + ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false); + hparams.rope_finetuned = rope_finetuned; + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_3B; break; + case 40: type = LLM_TYPE_3B; break; + // Add additional layer/vocab/etc checks here for other model sizes + default: type = LLM_TYPE_UNKNOWN; + } + + // For Granite MoE Shared + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false); +} + +void llama_model_granite::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + if (n_expert == 0) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional MLP bias + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + // For Granite MoE Shared + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + } + } + } +} + +std::unique_ptr llama_model_granite::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_granite::graph::graph( const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { @@ -68,7 +155,7 @@ llm_build_granite::llm_build_granite( ggml_build_forward_expand(gf, cur); } -ggml_tensor * llm_build_granite::build_attention_layer( +ggml_tensor * llama_model_granite::graph::build_attention_layer( ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn, @@ -107,7 +194,7 @@ ggml_tensor * llm_build_granite::build_attention_layer( return cur; } -ggml_tensor * llm_build_granite::build_layer_ffn( +ggml_tensor * llama_model_granite::graph::build_layer_ffn( ggml_tensor * cur, ggml_tensor * inpSA, const llama_model & model, diff --git a/src/models/grok.cpp b/src/models/grok.cpp index b8f35afdc0..0bc49d0020 100644 --- a/src/models/grok.cpp +++ b/src/models/grok.cpp @@ -1,6 +1,89 @@ #include "models.h" -llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_grok::load_arch_hparams(llama_model_loader & ml) { + // defaults for old GGUFs + hparams.yarn_beta_fast = 8.0f; + hparams.f_logit_scale = 0.5773502691896257f; + hparams.f_embedding_scale = 78.38367176906169f; + hparams.f_attn_out_scale = 0.08838834764831845f; + hparams.f_attn_logit_softcapping = 30.0f; + hparams.f_router_logit_softcapping = 30.0f; + // no final_logit_softcapping in grok-1 + hparams.f_final_logit_softcapping = 0.0f; + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, false); + ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, false); + ml.get_key(LLM_KV_ATTENTION_OUTPUT_SCALE, hparams.f_attn_out_scale, false); + ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING, hparams.f_attn_logit_softcapping, false); + ml.get_key(LLM_KV_ROUTER_LOGIT_SOFTCAPPING, hparams.f_router_logit_softcapping, false); + ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false); + + ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.attn_temp_length, false); + ml.get_key(LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR, hparams.yarn_ext_factor, false); + ml.get_key(LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR, hparams.yarn_attn_factor, false); + ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST, hparams.yarn_beta_fast, false); + ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, hparams.yarn_beta_slow, false); + + switch (hparams.n_layer) { + case 64: type = LLM_TYPE_314B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_grok::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_expert == 0) { + throw std::runtime_error(arch_name() + " model cannot have zero experts"); + } + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff/* / n_expert_used*/; // grok-1 n_ff_exp == n_ff + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + if (!layer.ffn_post_norm) { + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + } + } +} + +std::unique_ptr llama_model_grok::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_grok::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/grovemoe.cpp b/src/models/grovemoe.cpp index 151108a2a7..feef815165 100644 --- a/src/models/grovemoe.cpp +++ b/src/models/grovemoe.cpp @@ -1,6 +1,70 @@ #include "models.h" -llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_graph_params & params) : +void llama_model_grovemoe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, hparams.n_ff_chexp, false); + ml.get_key(LLM_KV_EXPERT_GROUP_SCALE, hparams.expert_group_scale); + ml.get_key(LLM_KV_EXPERTS_PER_GROUP, hparams.n_group_experts); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 48: type = LLM_TYPE_30B_A3B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_grovemoe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for GROVEMOE"); + GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for GROVEMOE"); + GGML_ASSERT(hparams.n_group_experts > 0 && "n_group_experts must be > 0 for GROVEMOE"); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + // MoE branch + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + const int64_t n_ff_chexp = hparams.n_ff_chexp ? hparams.n_ff_chexp : n_embd_head_k; + const int64_t n_chunk_expert = n_expert / hparams.n_group_experts; + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + + layer.ffn_gate_chexps = create_tensor(tn(LLM_TENSOR_FFN_GATE_CHEXPS, "weight", i), { n_embd, n_ff_chexp, n_chunk_expert}, 0); + layer.ffn_down_chexps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_CHEXPS, "weight", i), {n_ff_chexp, n_embd, n_chunk_expert}, 0); + layer.ffn_up_chexps = create_tensor(tn(LLM_TENSOR_FFN_UP_CHEXPS, "weight", i), { n_embd, n_ff_chexp, n_chunk_expert}, 0); + } +} + +std::unique_ptr llama_model_grovemoe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_grovemoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_chunk_expert = n_expert / hparams.n_group_experts; diff --git a/src/models/hunyuan-dense.cpp b/src/models/hunyuan-dense.cpp index 1cd85d6d9d..c137bd37c0 100644 --- a/src/models/hunyuan-dense.cpp +++ b/src/models/hunyuan-dense.cpp @@ -1,132 +1,6 @@ #include "models.h" -llm_build_hunyuan_dense::llm_build_hunyuan_dense(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v(); - - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); - GGML_ASSERT(n_embd_head == n_rot); - - const bool use_mrope = hparams.use_mrope(); - - int sections[4]; - std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections); - - ggml_tensor * cur; - ggml_tensor * inpL; - - inpL = build_inp_embd(model.tok_embd); - - // inp_pos - contains the positions - ggml_tensor * inp_pos = build_inp_pos(); - - auto * inp_attn = build_attn_inp_kv(); - - const float kq_scale = 1.0f / sqrtf(float(n_embd_head)); - - ggml_tensor * inp_out_ids = build_inp_out_ids(); - - for (int il = 0; il < n_layer; ++il) { - ggml_tensor * inpSA = inpL; - - // norm - cur = build_norm(inpL, - model.layers[il].attn_norm, NULL, - LLM_NORM_RMS, il); - cb(cur, "attn_norm", il); - // self-attention - { - // rope freq factors for llama3; may return nullptr for llama2 and other models - ggml_tensor * rope_factors = model.get_rope_factors(cparams, il); - - // compute Q and K and RoPE them - auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, - n_embd_head, n_head, n_head_kv, il); - - if (use_mrope) { - Qcur = ggml_rope_multi( - ctx0, Qcur, inp_pos, rope_factors, - n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale, - ext_factor, attn_factor, beta_fast, beta_slow - ); - - Kcur = ggml_rope_multi( - ctx0, Kcur, inp_pos, rope_factors, - n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale, - ext_factor, attn_factor, beta_fast, beta_slow - ); - } else { - Qcur = ggml_rope_ext( - ctx0, Qcur, inp_pos, rope_factors, - n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, - ext_factor, attn_factor, beta_fast, beta_slow - ); - - Kcur = ggml_rope_ext( - ctx0, Kcur, inp_pos, rope_factors, - n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, - ext_factor, attn_factor, beta_fast, beta_slow - ); - } - - cb(Qcur, "Qcur", il); - cb(Kcur, "Kcur", il); - cb(Vcur, "Vcur", il); - - Kcur = build_norm(Kcur, - model.layers[il].attn_k_norm, nullptr, - LLM_NORM_RMS, il); - cb(Kcur, "Kcur_norm", il); - - Qcur = build_norm(Qcur, - model.layers[il].attn_q_norm, nullptr, - LLM_NORM_RMS, il); - cb(Qcur, "Qcur_norm", il); - - cur = build_attn(inp_attn, - model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s, - Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il); - cb(cur, "attn_out", il); - } - if (il == n_layer - 1 && inp_out_ids) { - cur = ggml_get_rows(ctx0, cur, inp_out_ids); - inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids); - } - ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA); - cb(ffn_inp, "ffn_inp", il); - - cur = build_norm(ffn_inp, - model.layers[il].ffn_norm, NULL, - LLM_NORM_RMS, il); - cb(cur, "ffn_norm", il); - // feed-forward network (non-MoE) - ggml_tensor * cur_mlp = build_ffn(cur, - model.layers[il].ffn_up, NULL, NULL, - model.layers[il].ffn_gate, NULL, NULL, - model.layers[il].ffn_down, NULL, NULL, - NULL, - LLM_FFN_SILU, LLM_FFN_PAR, il); - cb(cur_mlp, "ffn_out", il); - - cur = ggml_add(ctx0, cur_mlp, ffn_inp); - - cur = build_cvec(cur, il); - cb(cur, "l_out", il); - - // input for next layer - inpL = cur; - } - cur = inpL; - - cur = build_norm(cur, - model.output_norm, NULL, - LLM_NORM_RMS, -1); - - cb(cur, "result_norm", -1); - res->t_embd = cur; - // lm_head - cur = build_lora_mm(model.output, cur); - cb(cur, "result_output", -1); - res->t_logits = cur; - - ggml_build_forward_expand(gf, cur); +std::unique_ptr llama_model_hunyuan_dense::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); } + diff --git a/src/models/hunyuan-moe.cpp b/src/models/hunyuan-moe.cpp index ffe1664b0e..44af42412f 100644 --- a/src/models/hunyuan-moe.cpp +++ b/src/models/hunyuan-moe.cpp @@ -1,6 +1,59 @@ #include "models.h" -llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_hunyuan_moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_A13B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_hunyuan_moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); + } +} + +std::unique_ptr llama_model_hunyuan_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_hunyuan_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/hunyuan-vl.cpp b/src/models/hunyuan-vl.cpp new file mode 100644 index 0000000000..5fb9154bec --- /dev/null +++ b/src/models/hunyuan-vl.cpp @@ -0,0 +1,189 @@ +#include "models.h" + +void llama_model_hunyuan_vl::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false); + + // XDRoPE / NTK-aware scaling: base = rope_theta * alpha^(dim / (dim - 2)) + if (hparams.rope_scaling_alpha > 0.0f) { + const int dim = hparams.n_embd_head_k(); + hparams.rope_freq_base_train = hparams.rope_freq_base_train + * powf(hparams.rope_scaling_alpha, (float)dim / (float)(dim - 2)); + } + + switch (hparams.n_embd) { + case 1024: type = LLM_TYPE_0_5B; break; + case 2048: type = LLM_TYPE_1_8B; break; + case 3072: type = LLM_TYPE_4B; break; + case 4096: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_hunyuan_vl::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + } +} + +std::unique_ptr llama_model_hunyuan_vl::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_hunyuan_vl::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { + const int64_t n_embd_head = hparams.n_embd_head_v(); + + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); + + const bool use_mrope = hparams.use_mrope(); + + int sections[4]; + std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections); + + ggml_tensor * cur; + ggml_tensor * inpL; + + inpL = build_inp_embd(model.tok_embd); + + // inp_pos - contains the positions + ggml_tensor * inp_pos = build_inp_pos(); + + auto * inp_attn = build_attn_inp_kv(); + + const float kq_scale = 1.0f / sqrtf(float(n_embd_head)); + + ggml_tensor * inp_out_ids = build_inp_out_ids(); + + for (int il = 0; il < n_layer; ++il) { + ggml_tensor * inpSA = inpL; + + // norm + cur = build_norm(inpL, + model.layers[il].attn_norm, NULL, + LLM_NORM_RMS, il); + cb(cur, "attn_norm", il); + // self-attention + { + // rope freq factors for llama3; may return nullptr for llama2 and other models + ggml_tensor * rope_factors = model.get_rope_factors(cparams, il); + + // compute Q and K and RoPE them + auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, + n_embd_head, n_head, n_head_kv, il); + + if (use_mrope) { + Qcur = ggml_rope_multi( + ctx0, Qcur, inp_pos, rope_factors, + n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale, + ext_factor, attn_factor, beta_fast, beta_slow + ); + + Kcur = ggml_rope_multi( + ctx0, Kcur, inp_pos, rope_factors, + n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale, + ext_factor, attn_factor, beta_fast, beta_slow + ); + } else { + Qcur = ggml_rope_ext( + ctx0, Qcur, inp_pos, rope_factors, + n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, + ext_factor, attn_factor, beta_fast, beta_slow + ); + + Kcur = ggml_rope_ext( + ctx0, Kcur, inp_pos, rope_factors, + n_rot, rope_type, n_ctx_orig, freq_base, freq_scale, + ext_factor, attn_factor, beta_fast, beta_slow + ); + } + + cb(Qcur, "Qcur", il); + cb(Kcur, "Kcur", il); + cb(Vcur, "Vcur", il); + + Kcur = build_norm(Kcur, + model.layers[il].attn_k_norm, nullptr, + LLM_NORM_RMS, il); + cb(Kcur, "Kcur_norm", il); + + Qcur = build_norm(Qcur, + model.layers[il].attn_q_norm, nullptr, + LLM_NORM_RMS, il); + cb(Qcur, "Qcur_norm", il); + + cur = build_attn(inp_attn, + model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s, + Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il); + cb(cur, "attn_out", il); + } + if (il == n_layer - 1 && inp_out_ids) { + cur = ggml_get_rows(ctx0, cur, inp_out_ids); + inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids); + } + ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA); + cb(ffn_inp, "ffn_inp", il); + + cur = build_norm(ffn_inp, + model.layers[il].ffn_norm, NULL, + LLM_NORM_RMS, il); + cb(cur, "ffn_norm", il); + // feed-forward network (non-MoE) + ggml_tensor * cur_mlp = build_ffn(cur, + model.layers[il].ffn_up, NULL, NULL, + model.layers[il].ffn_gate, NULL, NULL, + model.layers[il].ffn_down, NULL, NULL, + NULL, + LLM_FFN_SILU, LLM_FFN_PAR, il); + cb(cur_mlp, "ffn_out", il); + + cur = ggml_add(ctx0, cur_mlp, ffn_inp); + + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + + // input for next layer + inpL = cur; + } + cur = inpL; + + cur = build_norm(cur, + model.output_norm, NULL, + LLM_NORM_RMS, -1); + + cb(cur, "result_norm", -1); + res->t_embd = cur; + // lm_head + cur = build_lora_mm(model.output, cur); + cb(cur, "result_output", -1); + res->t_logits = cur; + + ggml_build_forward_expand(gf, cur); +} diff --git a/src/models/internlm2.cpp b/src/models/internlm2.cpp index 83be2ca0ae..f0c5580a6f 100644 --- a/src/models/internlm2.cpp +++ b/src/models/internlm2.cpp @@ -1,6 +1,43 @@ #include "models.h" -llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_internlm2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 48: type = LLM_TYPE_20B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_internlm2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + // layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_internlm2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_internlm2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/jais.cpp b/src/models/jais.cpp index 31101f3c14..a6451dca09 100644 --- a/src/models/jais.cpp +++ b/src/models/jais.cpp @@ -1,6 +1,58 @@ #include "models.h" -llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_jais::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1_3B; break; + case 40: type = LLM_TYPE_13B; break; + /* TODO: add variants */ + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_jais::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + } +} + +std::unique_ptr llama_model_jais::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_jais::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/jais2.cpp b/src/models/jais2.cpp index 507e04fa4a..ad59b953e8 100644 --- a/src/models/jais2.cpp +++ b/src/models/jais2.cpp @@ -1,8 +1,63 @@ #include "models.h" +void llama_model_jais2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_8B; break; + case 68: type = LLM_TYPE_70B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_jais2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0); + layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // attention biases - all have shape n_embd (output dimension of projections) + layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, 0); + layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd}, 0); + layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + // Jais-2 uses simple MLP (no gate) with biases + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_jais2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + // JAIS-2 model graph builder // Uses: LayerNorm (not RMSNorm), relu2 activation, separate Q/K/V, RoPE embeddings -llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_jais2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/jamba.cpp b/src/models/jamba.cpp index f82b7795c8..e1b8d137e3 100644 --- a/src/models/jamba.cpp +++ b/src/models/jamba.cpp @@ -1,6 +1,111 @@ #include "models.h" -llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { +void llama_model_jamba::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; + } + + switch (hparams.n_layer) { + // TODO: Jamba layers are a bit heterogeneous, so naming this is hard. + case 12: // 900M 8x???M + case 32: // 51B 16x?B + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_jamba::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t d_conv = hparams.ssm_d_conv; + const int64_t d_inner = hparams.ssm_d_inner; + const int64_t d_state = hparams.ssm_d_state; + const int64_t dt_rank = hparams.ssm_dt_rank; + + // only an expansion factor of 2 is supported for now + GGML_ASSERT(2 * n_embd == d_inner); + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + { + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed, duplicated to allow offloading + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + } + + for (int i = 0; i < n_layer; ++i) { + const int64_t n_head_kv = hparams.n_head_kv(i); + const int64_t n_embd_gqa = hparams.n_embd_v_gqa(i); + + auto & layer = layers[i]; + + // norm + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (n_head_kv == 0) { + // Mamba layer + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0); + + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0); + layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0); + + layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0); + + layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, "weight", i), {dt_rank}, 0); + + layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0); + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0); + + layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, "weight", i), {d_state}, 0); + layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, "weight", i), {d_state}, 0); + + // no "weight" suffix for these + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0); + layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0); + + // out_proj + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); + } else { + // Attention layers + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + } + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED); + + if (layer.ffn_gate_inp) { + // MoE + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + } else { + // FFN (no MoE) + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + } +} + +std::unique_ptr llama_model_jamba::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_jamba::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); ggml_tensor * cur; diff --git a/src/models/jina-bert-v2.cpp b/src/models/jina-bert-v2.cpp new file mode 100644 index 0000000000..4f8866ece4 --- /dev/null +++ b/src/models/jina-bert-v2.cpp @@ -0,0 +1,66 @@ +#include "models.h" + +void llama_model_jina_bert_v2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + hparams.f_max_alibi_bias = 8.0f; + + switch (hparams.n_layer) { + case 4: type = LLM_TYPE_33M; break; // jina-embeddings-small + case 12: type = LLM_TYPE_137M; break; // jina-embeddings-base + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_jina_bert_v2::load_arch_tensors(llama_model_loader & ml) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); // word_embeddings + type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, 0); // token_type_embeddings + + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); // LayerNorm + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); // LayerNorm bias + + cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, 1}, TENSOR_NOT_REQUIRED); + cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {1}, TENSOR_NOT_REQUIRED); + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; // JinaBertLayer + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); //output_dens + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); //output_dens + + layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); //output_norm + layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i), {n_embd}, 0); + + layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + + const auto tn_ffn_up_weight = tn(LLM_TENSOR_FFN_UP, "weight", i); + ggml_tensor * t_ffn_up = ml.get_tensor_meta(tn_ffn_up_weight.str().c_str()); + const int64_t n_ffn_up = t_ffn_up ? t_ffn_up->ne[1] : n_ff; + + GGML_ASSERT(n_ffn_up == n_ff || n_ffn_up == n_ff * 2); + layer.ffn_up = create_tensor(tn_ffn_up_weight, {n_embd, n_ffn_up}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ffn_up}, TENSOR_NOT_REQUIRED); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0); + layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_jina_bert_v2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/jina-bert-v3.cpp b/src/models/jina-bert-v3.cpp new file mode 100644 index 0000000000..e0527529f5 --- /dev/null +++ b/src/models/jina-bert-v3.cpp @@ -0,0 +1,69 @@ +#include "models.h" + +void llama_model_jina_bert_v3::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 24: + type = LLM_TYPE_558M; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_jina_bert_v3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_token_types == 0) { + throw std::runtime_error(arch_name() + " model needs to define token type count"); + } + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_BERT) { + pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); + + cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); + cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); + + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + } + + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); + layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i), {n_embd}, 0); + + if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) { + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + } else { + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_NOMIC_BERT) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + } + } + + layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0); + layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_jina_bert_v3::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp index 58c89c417f..ecffb10549 100644 --- a/src/models/kimi-linear.cpp +++ b/src/models/kimi-linear.cpp @@ -1,7 +1,175 @@ #include "models.h" - #include "llama-memory-recurrent.h" +void llama_model_kimi_linear::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl); + ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl); + ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_KDA_HEAD_DIM, hparams.n_embd_head_kda); + + // MLA qk_rope_head_dim (for reference) + // qk_rope_head_dim = 64, qk_nope_head_dim = 128, qk_head_dim = 192 + + // Mark KDA layers as recurrent using n_head_kv pattern (like Jamba) + // Set n_head_kv = 0 for KDA layers (recurrent), n_head_kv = n_head for MLA layers (attention) + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; // KDA layers are recurrent + } + + // MoE parameters - Kimi uses moe_intermediate_size = 1024 + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); + + switch (hparams.n_layer) { + case 27: type = LLM_TYPE_48B_A3B; break; // Kimi-Linear-48B-A3B + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_kimi_linear::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + // Check for KDA specific tensors to determine layer type or if it's a mixed model + // Assuming KDA layer if KDA tensors are present + + // KDA uses head_dim = 128 (from linear_attn_config.head_dim) + const int64_t n_embd_head_k_kda = hparams.n_embd_head_kda; + const int64_t n_embd_head_v_kda = hparams.n_embd_head_kda; + const int64_t ssm_d_conv = hparams.ssm_d_conv; + + if (hparams.is_recurrent(i)) { + // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1) + // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner] + layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); + if (!layer.ssm_q_conv) { + layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0); + } + + // KDA Layer - Conv1d weights may be 3D or 4D + layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); + if (!layer.ssm_k_conv) { + layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0); + } + layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head, 1}, TENSOR_NOT_REQUIRED); + if (!layer.ssm_v_conv) { + layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head}, 0); + } + + // q, k, v projections + // Python: q_proj, k_proj, v_proj + create_tensor_qkv(layer, i, n_embd, n_embd_head_k_kda * n_head, n_embd_head_k_kda * n_head, n_embd_head_v_kda * n_head, 0); + + // KDA specific projections + // f_a_proj, f_b_proj + layer.ssm_f_a = create_tensor(tn(LLM_TENSOR_SSM_F_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0); // head_dim + layer.ssm_f_b = create_tensor(tn(LLM_TENSOR_SSM_F_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0); // projection_size + + // b_proj (beta mixing coefficient) + layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), {n_embd, n_head}, 0); + + // A_log - Shape in GGUF: [1, num_heads, 1, 1] (4D) or [1, num_heads] (2D after quantization) Note: -exp(A_log) is applied in convert_hf_to_gguf.py + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head, 1, 1}, TENSOR_NOT_REQUIRED); + if (!layer.ssm_a) { + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0); + } + + // dt_bias - shape [n_embd_head_k_kda * n_head] = [4096] + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_embd_head_k_kda * n_head}, 0); + + // g_a_proj, g_b_proj (output gate) + layer.ssm_g_a = create_tensor(tn(LLM_TENSOR_SSM_G_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0); + layer.ssm_g_b = create_tensor(tn(LLM_TENSOR_SSM_G_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0); + + // o_norm (reusing SSM_NORM) + layer.ssm_o_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {n_embd_head_k_kda}, 0); // FusedRMSNormGated + + // o_proj + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v_kda * n_head, n_embd}, 0); + + } else { + // MLA Layer - use MLA-specific head dimensions + const int64_t q_lora_rank = hparams.n_lora_q; + const int64_t kv_lora_rank = hparams.n_lora_kv; + const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); + const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); + + layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, TENSOR_NOT_REQUIRED); + layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); + + if (layer.attn_q_a_norm) { + layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0); + layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0); + } else { + // Kimi MLA without Q compression: wq = [n_embd, n_head * n_embd_head_k_mla] + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0); + } + + // Kimi: qk_rope_head_dim = 64 (actual RoPE dimension for MLA) + // Note: hparams.n_rot may be 72 (from conversion) but actual is 64 + const int64_t qk_rope_head_dim = hparams.n_rot(); // From config: qk_rope_head_dim + layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + qk_rope_head_dim}, 0); + // Support Legacy GGUFs that don't split wkv_b (MLA KV cache disabled) + layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), + {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + if (!layer.wkv_b) { // MLA KV cache enabled + layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_k_mla - qk_rope_head_dim, kv_lora_rank, n_head}, 0); + layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0); + } + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0); + } + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + // MoE intermediate size (different from dense FFN) + const int64_t n_ff_exp = hparams.n_ff_exp; + + // Kimi uses n_layer_dense_lead to determine which layers use dense FFN vs MoE + // first_k_dense_replace = 1 means layer 0 uses dense FFN, layers 1+ use MoE + if (i < (int) hparams.n_layer_dense_lead) { + // Dense FFN layer - use normal n_ff + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } else { + // MoE layer - use n_ff_exp (1024) instead of n_ff (9216) + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + + // Shared experts use moe_intermediate_size * num_shared_experts + // Kimi: shared_expert_intermediate_size = 1024 * 1 = 1024 + // Tensors are 2D: [n_embd, n_ff_shexp] or [n_ff_shexp, n_embd] + const int64_t n_ff_shexp_actual = n_ff_exp * (hparams.n_expert_shared > 0 ? hparams.n_expert_shared : 1); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp_actual, n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED); + + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); + } + } +} + +std::unique_ptr llama_model_kimi_linear::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + // Causal Conv1d function for Q,K,V // When qkv is 0, it is Q, 1 is K, 2 is V static ggml_tensor * causal_conv1d(ggml_cgraph * gf, ggml_context * ctx0, ggml_tensor * conv_states_all, ggml_tensor * conv_state_all, int64_t qkv, ggml_tensor * x, ggml_tensor * proj_w, ggml_tensor * conv_w, int64_t d_conv, int64_t head_dim, int64_t n_head, int64_t n_seq_tokens, int64_t n_seqs, int64_t n_tokens, int64_t kv_head) { @@ -63,7 +231,7 @@ static ggml_tensor * causal_conv1d(ggml_cgraph * gf, ggml_context * ctx0, ggml_t return ggml_reshape_4d(ctx0, Xcur, head_dim, n_head, n_seq_tokens, n_seqs); } -llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const llm_graph_params & params) : +llama_model_kimi_linear::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_delta_net_base(params), model(model) { ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/lfm2.cpp b/src/models/lfm2.cpp index eb8ec3c803..df6a802873 100644 --- a/src/models/lfm2.cpp +++ b/src/models/lfm2.cpp @@ -1,10 +1,94 @@ #include "models.h" - #include "../llama-memory-hybrid-iswa.h" #include "../llama-memory-hybrid.h" +void llama_model_lfm2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_SHORTCONV_L_CACHE, hparams.n_shortconv_l_cache); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + for (uint32_t il = 0; il < hparams.n_layer; ++il) { + hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0; + } + hparams.n_layer_dense_lead = hparams.n_layer; + switch (hparams.n_ff()) { + case 4608: type = LLM_TYPE_350M; break; + case 6912: type = LLM_TYPE_700M; break; + case 8192: type = LLM_TYPE_1_2B; break; + case 10752: type = LLM_TYPE_2_6B; break; + default: type = LLM_TYPE_UNKNOWN; + } + if (const auto is_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); is_swa && hparams.n_swa > 0) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + for (uint32_t il = 0; il < hparams.n_layer; ++il) { + hparams.swa_layers[il] = !hparams.recurrent_layer_arr[il]; + } + } +} + +void llama_model_lfm2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM_LFM2, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + const bool is_moe_layer = i >= static_cast(hparams.n_layer_dense_lead); + + // ffn/moe is same for transformer and conv layers + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + if (is_moe_layer) { + GGML_ASSERT(n_expert && n_expert_used); + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {hparams.n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); + } else { // dense + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + + // for operator_norm + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (!hparams.is_recurrent(i)) { + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + GGML_ASSERT(n_embd_v_gqa == n_embd_k_gqa); + + create_tensor_qkv(layer, i, n_embd, n_embd, hparams.n_embd_k_gqa(i), hparams.n_embd_v_gqa(i), 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + } else { + layer.shortconv.conv = create_tensor(tn(LLM_TENSOR_SHORTCONV_CONV, "weight", i), {hparams.n_shortconv_l_cache, n_embd}, 0); + layer.shortconv.in_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_INPROJ, "weight", i), {n_embd, 3 * n_embd}, 0); + layer.shortconv.out_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_OUTPROJ, "weight", i), {n_embd, n_embd}, 0); + } + } + + // for LFM2-ColBert-350M + dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED); + dense_2_out_layers_b = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "bias"), {hparams.n_embd_out() }, TENSOR_NOT_REQUIRED); +} + +std::unique_ptr llama_model_lfm2::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { + return std::make_unique>(*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_lfm2::llm_build_lfm2(const llama_model & model, const llm_graph_params & params) : +llama_model_lfm2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { using inp_hybrid_type = std::conditional_t; using inp_attn_type = std::conditional_t; @@ -187,5 +271,5 @@ llm_build_lfm2::llm_build_lfm2(const llama_model & model, const llm_graph_ } // Explicit template instantiations -template struct llm_build_lfm2; -template struct llm_build_lfm2; +template struct llama_model_lfm2::graph; +template struct llama_model_lfm2::graph; diff --git a/src/models/lfm2moe.cpp b/src/models/lfm2moe.cpp new file mode 100644 index 0000000000..12a66c05c7 --- /dev/null +++ b/src/models/lfm2moe.cpp @@ -0,0 +1,85 @@ +#include "models.h" +#include "../llama-memory-hybrid-iswa.h" +#include "../llama-memory-hybrid.h" + +void llama_model_lfm2moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_SHORTCONV_L_CACHE, hparams.n_shortconv_l_cache); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); + + for (uint32_t il = 0; il < hparams.n_layer; ++il) { + hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0; + } + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_8B_A1B; break; + case 40: type = LLM_TYPE_24B_A2B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_lfm2moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM_LFM2, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + const bool is_moe_layer = i >= static_cast(hparams.n_layer_dense_lead); + + // ffn/moe is same for transformer and conv layers + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + if (is_moe_layer) { + GGML_ASSERT(n_expert && n_expert_used); + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {hparams.n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); + } else { // dense + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + + // for operator_norm + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (!hparams.is_recurrent(i)) { + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + GGML_ASSERT(n_embd_v_gqa == n_embd_k_gqa); + + create_tensor_qkv(layer, i, n_embd, n_embd, hparams.n_embd_k_gqa(i), hparams.n_embd_v_gqa(i), 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + } else { + layer.shortconv.conv = create_tensor(tn(LLM_TENSOR_SHORTCONV_CONV, "weight", i), {hparams.n_shortconv_l_cache, n_embd}, 0); + layer.shortconv.in_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_INPROJ, "weight", i), {n_embd, 3 * n_embd}, 0); + layer.shortconv.out_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_OUTPROJ, "weight", i), {n_embd, n_embd}, 0); + } + } + + // for LFM2-ColBert-350M + dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED); + dense_2_out_layers_b = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "bias"), {hparams.n_embd_out() }, TENSOR_NOT_REQUIRED); +} + +std::unique_ptr llama_model_lfm2moe::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { + return std::make_unique>(*this, params); + } else { + return std::make_unique>(*this, params); + } +} + diff --git a/src/models/llada-moe.cpp b/src/models/llada-moe.cpp index c756d6fde5..b60f67f6c4 100644 --- a/src/models/llada-moe.cpp +++ b/src/models/llada-moe.cpp @@ -1,6 +1,56 @@ #include "models.h" -llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_llada_moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + // diffusion language model uses non-causal attention + hparams.causal_attn = false; + switch (hparams.n_layer) { + case 16: type = LLM_TYPE_A1_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_llada_moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for llada-moe"); + GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for llada-moe"); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + } +} + +std::unique_ptr llama_model_llada_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_llada_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/llada.cpp b/src/models/llada.cpp index 501df3c7ea..fa21c5fe32 100644 --- a/src/models/llada.cpp +++ b/src/models/llada.cpp @@ -1,6 +1,72 @@ #include "models.h" -llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_llada::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + // LLaDA-8B has 32 layers, similar to LLaMA but for diffusion + switch (hparams.n_layer) { + case 32: + type = LLM_TYPE_8B; + break; + default: + type = LLM_TYPE_UNKNOWN; + } + // Set non-causal attention for diffusion models + hparams.causal_attn = false; +} + +void llama_model_llada::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = + create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + + // Use separate Q, K, V projections without bias, matching LLaDALlamaBlock + layer.wq = + create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0); + layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, 0); + layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, 0); + // No bias for QKV projections as per config: include_bias=false, include_qkv_bias=false + layer.wo = + create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); + + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot / 2 }, + TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0); + + // optional MLP bias + layer.ffn_gate_b = + create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = + create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_llada::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_llada::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { // LLaDA is similar to LLaMA but uses non-causal attention for diffusion const int64_t n_embd_head = hparams.n_embd_head_v(); diff --git a/src/models/llama-embed.cpp b/src/models/llama-embed.cpp new file mode 100644 index 0000000000..0699e74446 --- /dev/null +++ b/src/models/llama-embed.cpp @@ -0,0 +1,6 @@ +#include "models.h" + +std::unique_ptr llama_model_llama_embed::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique>(*this, params); +} + diff --git a/src/models/llama.cpp b/src/models/llama.cpp index 8d478dc674..8ddb593682 100644 --- a/src/models/llama.cpp +++ b/src/models/llama.cpp @@ -1,7 +1,102 @@ #include "models.h" +void llama_model_llama::load_arch_hparams(llama_model_loader & ml) { + uint32_t n_vocab = 0; + ml.get_key(LLM_KV_VOCAB_SIZE, n_vocab, false) || ml.get_arr_n(LLM_KV_TOKENIZER_LIST, n_vocab, false); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + if (hparams.n_expert == 8) { + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_8x7B; break; + case 56: type = LLM_TYPE_8x22B; break; + default: type = LLM_TYPE_UNKNOWN; + } + } else { + switch (hparams.n_layer) { + case 16: type = LLM_TYPE_1B; break; // Llama 3.2 1B + case 22: type = LLM_TYPE_1B; break; + case 26: type = LLM_TYPE_3B; break; + case 28: type = LLM_TYPE_3B; break; // Llama 3.2 3B + case 30: type = LLM_TYPE_256M; break; // smoldocling 256M + // granite uses a vocab with len 49152 + case 32: type = n_vocab == 49152 ? LLM_TYPE_3B : (n_vocab < 40000 ? LLM_TYPE_7B : LLM_TYPE_8B); break; + case 36: type = LLM_TYPE_8B; break; // granite + case 40: type = LLM_TYPE_13B; break; + case 48: type = LLM_TYPE_34B; break; + case 60: type = LLM_TYPE_30B; break; + case 80: type = hparams.n_head() == hparams.n_head_kv() ? LLM_TYPE_65B : LLM_TYPE_70B; break; + default: type = LLM_TYPE_UNKNOWN; + } + } +} + +void llama_model_llama::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + if (n_expert == 0) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional MLP bias + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + // For Granite MoE Shared + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + } + } + } +} + +std::unique_ptr llama_model_llama::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique>(*this, params); +} + template -llm_build_llama::llm_build_llama(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_llama::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); @@ -149,5 +244,5 @@ llm_build_llama::llm_build_llama(const llama_model & model, const llm_gra ggml_build_forward_expand(gf, cur); } -template struct llm_build_llama; -template struct llm_build_llama; +template struct llama_model_llama::graph; +template struct llama_model_llama::graph; diff --git a/src/models/llama4.cpp b/src/models/llama4.cpp index 4e4bfb43f3..899611d53f 100644 --- a/src/models/llama4.cpp +++ b/src/models/llama4.cpp @@ -1,7 +1,109 @@ #include "models.h" +void llama_model_llama4::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, hparams.n_moe_layer_step); + + const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + if (found_swa && hparams.n_swa == 0) { + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + hparams.n_no_rope_layer_step = hparams.n_layer; // always use rope + } else { + hparams.swa_type = LLAMA_SWA_TYPE_CHUNKED; + hparams.n_swa = 8192; + hparams.n_attn_temp_floor_scale = 8192; + hparams.f_attn_temp_scale = 0.1f; + hparams.f_attn_temp_offset = 1.0f; + uint32_t swa_period = 4; // pattern: 3 chunked - 1 full + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + } + + switch (hparams.n_expert) { + case 0: { + // MobileLLM (no MoE) + switch (hparams.n_embd) { + case 2048: type = LLM_TYPE_140M; break; + case 4096: type = LLM_TYPE_360M; break; + case 6144: type = LLM_TYPE_950M; break; + default: type = LLM_TYPE_UNKNOWN; + } + } break; + case 16: type = LLM_TYPE_17B_16E; break; + case 128: type = LLM_TYPE_17B_128E; break; + default: type = LLM_TYPE_UNKNOWN; + } + + hparams.use_kq_norm = type != LLM_TYPE_17B_128E; +} + +void llama_model_llama4::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_expert == 0) { + throw std::runtime_error(arch_name() + " model cannot have zero experts"); + } + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + const bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0; + + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + + if (is_moe_layer) { + const int64_t n_ff_exp = hparams.n_ff_exp; + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); + + // Shared expert + const int64_t n_ff_shexp = n_ff_exp; + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd }, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); + } else { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + } +} + +std::unique_ptr llama_model_llama4::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type == LLAMA_SWA_TYPE_NONE) { + return std::make_unique>(*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_llama4::llm_build_llama4(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_llama4::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); @@ -167,5 +269,5 @@ llm_build_llama4::llm_build_llama4(const llama_model & model, const llm_gr } // Explicit template instantiations -template struct llm_build_llama4; -template struct llm_build_llama4; +template struct llama_model_llama4::graph; +template struct llama_model_llama4::graph; diff --git a/src/models/maincoder.cpp b/src/models/maincoder.cpp index 8a76931c00..3dbd82fd36 100644 --- a/src/models/maincoder.cpp +++ b/src/models/maincoder.cpp @@ -1,6 +1,49 @@ #include "models.h" -llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_maincoder::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_1B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_maincoder::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_maincoder::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_maincoder::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/mamba.cpp b/src/models/mamba.cpp index 55fd2e055c..b7708d7fdd 100644 --- a/src/models/mamba.cpp +++ b/src/models/mamba.cpp @@ -1,6 +1,90 @@ #include "models.h" -llm_build_mamba::llm_build_mamba(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { +void llama_model_mamba::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_DT_B_C_RMS, hparams.ssm_dt_b_c_rms, false); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 24: + switch (hparams.n_embd) { + case 768: type = LLM_TYPE_SMALL; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 48: + switch (hparams.n_embd) { + case 1024: type = LLM_TYPE_MEDIUM; break; + case 1536: type = LLM_TYPE_LARGE; break; + case 2048: type = LLM_TYPE_XL; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 64: + switch (hparams.n_embd) { + case 2560: type = LLM_TYPE_3B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_mamba::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t d_conv = hparams.ssm_d_conv; + const int64_t d_inner = hparams.ssm_d_inner; + const int64_t d_state = hparams.ssm_d_state; + const int64_t dt_rank = hparams.ssm_dt_rank; + + // only an expansion factor of 2 is supported for now + if (2 * n_embd != d_inner) { + throw std::runtime_error("only an expansion factor of 2 is supported for now"); + } + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed, duplicated to allow offloading + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + // norm + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0); + + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0); + layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0); + + layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0); + + layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0); + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0); + + // no "weight" suffix for these + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0); + layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0); + + // out_proj + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); + } +} + +std::unique_ptr llama_model_mamba::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_mamba::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { ggml_tensor * cur; ggml_tensor * inpL; @@ -51,4 +135,3 @@ llm_build_mamba::llm_build_mamba(const llama_model & model, const llm_graph_para ggml_build_forward_expand(gf, cur); } - diff --git a/src/models/mamba2.cpp b/src/models/mamba2.cpp new file mode 100644 index 0000000000..3277ca53ec --- /dev/null +++ b/src/models/mamba2.cpp @@ -0,0 +1,87 @@ +#include "models.h" + +void llama_model_mamba2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 24: + switch (hparams.n_embd) { + case 768: type = LLM_TYPE_SMALL; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 48: + switch (hparams.n_embd) { + case 1024: type = LLM_TYPE_MEDIUM; break; + case 1536: type = LLM_TYPE_LARGE; break; + case 2048: type = LLM_TYPE_XL; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 64: + switch (hparams.n_embd) { + case 2560: type = LLM_TYPE_3B; break; + case 4096: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_mamba2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t d_conv = hparams.ssm_d_conv; + const int64_t d_inner = hparams.ssm_d_inner; + const int64_t d_state = hparams.ssm_d_state; + const int64_t n_group = hparams.ssm_n_group; + const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_head; + + // only an expansion factor of 2 is supported for now + GGML_ASSERT(2 * n_embd == d_inner); + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + { + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed, duplicated to allow offloading + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + // norm + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0); + + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0); + layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, 0); + + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_head}, 0); + + // no "weight" suffix for these + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0); + layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_head}, 0); + + layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0); + + // out_proj + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); + } +} + +std::unique_ptr llama_model_mamba2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/mimo2-iswa.cpp b/src/models/mimo2-iswa.cpp deleted file mode 100644 index 52c6acfe21..0000000000 --- a/src/models/mimo2-iswa.cpp +++ /dev/null @@ -1,129 +0,0 @@ -#include "models.h" - -llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - ggml_tensor * cur; - ggml_tensor * inpL; - - inpL = build_inp_embd(model.tok_embd); - - ggml_tensor * inp_pos = build_inp_pos(); - auto * inp_attn = build_attn_inp_kv_iswa(); - ggml_tensor * inp_out_ids = build_inp_out_ids(); - - for (int il = 0; il < n_layer; ++il) { - ggml_tensor * inpSA = inpL; - - uint32_t n_head_l = hparams.n_head(il); - uint32_t n_head_kv_l = hparams.n_head_kv(il); - const float freq_base_l = model.get_rope_freq_base(cparams, il); - const float freq_scale_l = model.get_rope_freq_scale(cparams, il); - - cur = inpL; - - // self_attention - { - cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il); - cb(cur, "attn_norm", il); - - // compute Q and K and RoPE them - ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur); - cb(Qcur, "Qcur", il); - - ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur); - cb(Kcur, "Kcur", il); - - ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur); - cb(Vcur, "Vcur", il); - - Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head_k, n_head_l, n_tokens); - Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head_k, n_head_kv_l, n_tokens); - Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head_v, n_head_kv_l, n_tokens); - - Qcur = ggml_rope_ext( - ctx0, Qcur, inp_pos, nullptr, - n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l, - ext_factor, attn_factor, beta_fast, beta_slow - ); - - Kcur = ggml_rope_ext( - ctx0, Kcur, inp_pos, nullptr, - n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l, - ext_factor, attn_factor, beta_fast, beta_slow - ); - - cb(Qcur, "Qcur", il); - cb(Kcur, "Kcur", il); - cb(Vcur, "Vcur", il); - - ggml_tensor * sinks = model.layers[il].attn_sinks; - - cur = build_attn(inp_attn, - model.layers[il].wo, NULL, model.layers[il].wo_s, - Qcur, Kcur, Vcur, nullptr, sinks, nullptr, 1.0f/sqrtf(float(n_embd_head_k)), il); - } - - if (il == n_layer - 1 && inp_out_ids) { - cur = ggml_get_rows(ctx0, cur, inp_out_ids); - inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids); - } - - ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA); - cb(ffn_inp, "ffn_inp", il); - - cur = build_norm(ffn_inp, - model.layers[il].ffn_norm, NULL, - LLM_NORM_RMS, il); - cb(cur, "ffn_norm", il); - - // feed-forward network - if (model.layers[il].ffn_gate_inp == nullptr) { - // dense branch - cur = build_ffn(cur, - model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL, - model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL, - model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL, - NULL, - LLM_FFN_SILU, LLM_FFN_PAR, il); - cb(cur, "ffn_out", il); - } else { - // MoE branch - cur = build_moe_ffn(cur, - model.layers[il].ffn_gate_inp, - model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, - model.layers[il].ffn_down_exps, - model.layers[il].ffn_exp_probs_b, - n_expert, n_expert_used, - LLM_FFN_SILU, true, - hparams.expert_weights_scale, - LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, - il); - cb(cur, "ffn_moe_out", il); - } - - cur = ggml_add(ctx0, cur, ffn_inp); - - cur = build_cvec(cur, il); - cb(cur, "l_out", il); - - // input for next layer - inpL = cur; - } - - cur = inpL; - - cur = build_norm(cur, - model.output_norm, NULL, - LLM_NORM_RMS, -1); - - cb(cur, "result_norm", -1); - res->t_embd = cur; - - // lm_head - cur = build_lora_mm(model.output, cur); - - cb(cur, "result_output", -1); - res->t_logits = cur; - - ggml_build_forward_expand(gf, cur); -} diff --git a/src/models/mimo2.cpp b/src/models/mimo2.cpp new file mode 100644 index 0000000000..7199661661 --- /dev/null +++ b/src/models/mimo2.cpp @@ -0,0 +1,240 @@ +#include "models.h" + +void llama_model_mimo2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); + + float value_scale = 0.0f; + if (ml.get_key(LLM_KV_ATTENTION_VALUE_SCALE, value_scale, false) && value_scale != 1.0f) { + hparams.f_attn_value_scale = value_scale; + } + + ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); + hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; + + switch (hparams.n_layer - hparams.nextn_predict_layers) { + case 48: type = LLM_TYPE_310B_A15B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_mimo2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + const uint32_t n_nextn = hparams.nextn_predict_layers; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + uint32_t n_embd_k_gqa = hparams.n_embd_k_gqa(i); + uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa(i); + uint32_t n_head = hparams.n_head(i); + + // NextN/MTP layers (the last n_nextn blocks) are preserved but disabled pending support + const bool is_nextn = (n_nextn > 0) && (static_cast(i) >= n_layer - n_nextn); + const int skip = is_nextn ? TENSOR_SKIP : 0; + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, skip); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_v * n_head, n_embd }, skip); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, skip); + layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, TENSOR_NOT_REQUIRED | skip); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, skip); + + // non-MoE branch + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED | skip); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, TENSOR_NOT_REQUIRED | skip); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED | skip); + + // MoE branch + int64_t n_ff_exp = hparams.n_ff_exp; + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED | skip); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED | skip); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, TENSOR_NOT_REQUIRED | skip); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED | skip); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | skip); + + if (is_nextn) { + layer.nextn.eh_proj = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), {2 * n_embd, n_embd}, skip); + layer.nextn.enorm = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), {n_embd}, skip); + layer.nextn.hnorm = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), {n_embd}, skip); + layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, skip); + } + } +} + +std::unique_ptr llama_model_mimo2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_mimo2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { + ggml_tensor * cur; + ggml_tensor * inpL; + + inpL = build_inp_embd(model.tok_embd); + + ggml_tensor * inp_pos = build_inp_pos(); + auto * inp_attn = build_attn_inp_kv_iswa(); + ggml_tensor * inp_out_ids = build_inp_out_ids(); + + const float v_scale = hparams.f_attn_value_scale; + + // The last hparams.nextn_predict_layers blocks are MTP heads, currently inactive + const int n_transformer_layers = n_layer - hparams.nextn_predict_layers; + + for (int il = 0; il < n_transformer_layers; ++il) { + ggml_tensor * inpSA = inpL; + + uint32_t n_head_l = hparams.n_head(il); + uint32_t n_head_kv_l = hparams.n_head_kv(il); + const float freq_base_l = model.get_rope_freq_base(cparams, il); + const float freq_scale_l = model.get_rope_freq_scale(cparams, il); + + cur = inpL; + + // self_attention + { + cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il); + cb(cur, "attn_norm", il); + + ggml_tensor * Qcur; + ggml_tensor * Kcur; + ggml_tensor * Vcur; + + if (model.layers[il].wqkv) { + // Fused qkv_proj - Q/K share head_dim_k, V uses head_dim_v + ggml_tensor * qkv = build_lora_mm(model.layers[il].wqkv, cur); + cb(qkv, "wqkv", il); + + const size_t row_k = ggml_row_size(qkv->type, n_embd_head_k); + const size_t row_v = ggml_row_size(qkv->type, n_embd_head_v); + const size_t row_full = qkv->nb[1]; + const size_t k_off = row_k * n_head_l; + const size_t v_off = k_off + row_k * n_head_kv_l; + + Qcur = ggml_view_3d(ctx0, qkv, n_embd_head_k, n_head_l, n_tokens, row_k, row_full, 0); + Kcur = ggml_view_3d(ctx0, qkv, n_embd_head_k, n_head_kv_l, n_tokens, row_k, row_full, k_off); + Vcur = ggml_view_3d(ctx0, qkv, n_embd_head_v, n_head_kv_l, n_tokens, row_v, row_full, v_off); + } else { + // Split path + Qcur = build_lora_mm(model.layers[il].wq, cur); + cb(Qcur, "Qcur", il); + + Kcur = build_lora_mm(model.layers[il].wk, cur); + cb(Kcur, "Kcur", il); + + Vcur = build_lora_mm(model.layers[il].wv, cur); + cb(Vcur, "Vcur", il); + + Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head_k, n_head_l, n_tokens); + Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head_k, n_head_kv_l, n_tokens); + Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head_v, n_head_kv_l, n_tokens); + } + + Qcur = ggml_rope_ext( + ctx0, Qcur, inp_pos, nullptr, + n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l, + ext_factor, attn_factor, beta_fast, beta_slow + ); + + Kcur = ggml_rope_ext( + ctx0, Kcur, inp_pos, nullptr, + n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l, + ext_factor, attn_factor, beta_fast, beta_slow + ); + + cb(Qcur, "Qcur", il); + cb(Kcur, "Kcur", il); + cb(Vcur, "Vcur", il); + + ggml_tensor * sinks = model.layers[il].attn_sinks; + + cur = build_attn(inp_attn, + model.layers[il].wo, NULL, model.layers[il].wo_s, + Qcur, Kcur, Vcur, nullptr, sinks, nullptr, 1.0f/sqrtf(float(n_embd_head_k)), il); + cb(cur, "attn_out", il); + + if (v_scale) { + cur = ggml_scale(ctx0, cur, v_scale); + cb(cur, "attn_out_scaled", il); + } + } + + if (il == n_transformer_layers - 1 && inp_out_ids) { + cur = ggml_get_rows(ctx0, cur, inp_out_ids); + inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids); + } + + ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA); + cb(ffn_inp, "ffn_inp", il); + + cur = build_norm(ffn_inp, + model.layers[il].ffn_norm, NULL, + LLM_NORM_RMS, il); + cb(cur, "ffn_norm", il); + + // feed-forward network + if (model.layers[il].ffn_gate_inp == nullptr) { + // dense branch + cur = build_ffn(cur, + model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL, + model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL, + model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL, + NULL, + LLM_FFN_SILU, LLM_FFN_PAR, il); + cb(cur, "ffn_out", il); + } else { + // MoE branch + cur = build_moe_ffn(cur, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, + model.layers[il].ffn_exp_probs_b, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, + il); + cb(cur, "ffn_moe_out", il); + } + + cur = ggml_add(ctx0, cur, ffn_inp); + + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + + // input for next layer + inpL = cur; + } + + cur = inpL; + + cur = build_norm(cur, + model.output_norm, NULL, + LLM_NORM_RMS, -1); + + cb(cur, "result_norm", -1); + res->t_embd = cur; + + // lm_head + cur = build_lora_mm(model.output, cur); + + cb(cur, "result_output", -1); + res->t_logits = cur; + + ggml_build_forward_expand(gf, cur); +} diff --git a/src/models/minicpm.cpp b/src/models/minicpm.cpp new file mode 100644 index 0000000000..966d3af615 --- /dev/null +++ b/src/models/minicpm.cpp @@ -0,0 +1,89 @@ +#include "models.h" + +void llama_model_minicpm::load_arch_hparams(llama_model_loader & ml) { + // Backward-compatible defaults for older MiniCPM GGUFs + hparams.f_embedding_scale = 12.0f; + hparams.f_residual_scale = 1.4f / sqrtf(float(hparams.n_layer)); + hparams.f_logit_scale = hparams.n_embd ? (256.0f / float(hparams.n_embd)) : 1.0f; + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + // Optional KV reads, override defaults if present in newer GGUF exports + ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, /*required=*/false); + ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, /*required=*/false); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, /*required=*/false); + + // MiniCPM uses rope by default, unlike Granite which uses it as a switch + hparams.rope_finetuned = true; + + switch (hparams.n_layer) { + case 52: type = LLM_TYPE_1B; break; + case 40: type = LLM_TYPE_2B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_minicpm::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + if (n_expert == 0) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional MLP bias + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + // For Granite MoE Shared + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + } + } + } +} + +std::unique_ptr llama_model_minicpm::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/minicpm3.cpp b/src/models/minicpm3.cpp index bf12ab73c7..ff5eb6ffa5 100644 --- a/src/models/minicpm3.cpp +++ b/src/models/minicpm3.cpp @@ -1,6 +1,66 @@ #include "models.h" -llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_minicpm3::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); + ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); + + switch (hparams.n_layer) { + case 62: type = LLM_TYPE_4B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_minicpm3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t n_embd_head_qk_rope = hparams.n_rot(); + const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); + + const int64_t q_lora_rank = hparams.n_lora_q; + const int64_t kv_lora_rank = hparams.n_lora_kv; + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0); + + layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); + + layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0); + layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k}, 0); + + layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0); + layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_head * ( n_embd_head_v), n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } +} + +std::unique_ptr llama_model_minicpm3::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_minicpm3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { //TODO: if the model varies, these parameters need to be read from the model const int64_t n_embd_base = 256; const float scale_embd = 12.0f; diff --git a/src/models/minimax-m2.cpp b/src/models/minimax-m2.cpp index b809b79f2b..0dee893469 100644 --- a/src/models/minimax-m2.cpp +++ b/src/models/minimax-m2.cpp @@ -1,6 +1,50 @@ #include "models.h" -llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_minimax_m2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + + switch (hparams.n_layer) { + case 62: type = LLM_TYPE_230B_A10B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_minimax_m2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k * n_head}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_k_gqa}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0); + } +} + +std::unique_ptr llama_model_minimax_m2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_minimax_m2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/mistral3.cpp b/src/models/mistral3.cpp index b5ae72a2ee..708da49af1 100644 --- a/src/models/mistral3.cpp +++ b/src/models/mistral3.cpp @@ -1,6 +1,96 @@ #include "models.h" -llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_mistral3::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE, hparams.f_attn_temp_scale, false); + + ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST, hparams.yarn_beta_fast, false); + ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, hparams.yarn_beta_slow, false); + ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul, false); + + hparams.f_attn_temp_offset = 0.0f; + + // TODO: maybe add n_attn_temp_floor_scale as a separate KV? + if (hparams.f_attn_temp_scale != 0.0f) { + hparams.n_attn_temp_floor_scale = hparams.n_ctx_orig_yarn; + if (hparams.n_attn_temp_floor_scale == 0) { + throw std::runtime_error("invalid n_ctx_orig_yarn for attention temperature scaling"); + } + } + + switch (hparams.n_layer) { + case 26: type = LLM_TYPE_3B; break; + case 34: type = LLM_TYPE_8B; break; + case 40: type = LLM_TYPE_14B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_mistral3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + if (n_expert == 0) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional MLP bias + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + // For Granite MoE Shared + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + } + } + } +} + +std::unique_ptr llama_model_mistral3::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_mistral3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/mistral4.cpp b/src/models/mistral4.cpp new file mode 100644 index 0000000000..3d9190650e --- /dev/null +++ b/src/models/mistral4.cpp @@ -0,0 +1,6 @@ +#include "models.h" + +std::unique_ptr llama_model_mistral4::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/models.h b/src/models/models.h index 94991c55fe..6d5f18a8e2 100644 --- a/src/models/models.h +++ b/src/models/models.h @@ -2,6 +2,7 @@ #include "llama-model.h" #include "llama-graph.h" +#include "llama-model-loader.h" // note: almost all graphs require at least sqrtf, so include cmath globally #include @@ -110,611 +111,1750 @@ struct llm_build_rwkv7_base : public llm_graph_context { // models // -struct llm_build_afmoe : public llm_graph_context { - llm_build_afmoe(const llama_model & model, const llm_graph_params & params); +struct llama_model_llama : public llama_model_base { + llama_model_llama(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_apertus : public llm_graph_context { - llm_build_apertus(const llama_model & model, const llm_graph_params & params); + +struct llama_model_llama4 : public llama_model_base { + llama_model_llama4(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_arcee : public llm_graph_context { - llm_build_arcee(const llama_model & model, const llm_graph_params & params); + +struct llama_model_llama_embed : public llama_model_llama { + llama_model_llama_embed(const struct llama_model_params & params) : llama_model_llama(params) {} + // reuse load_arch_hparams and load_arch_tensors from llama_model_llama + + template + using graph = llama_model_llama::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_arctic : public llm_graph_context { - llm_build_arctic(const llama_model & model, const llm_graph_params & params); + +struct llama_model_maincoder : public llama_model_base { + llama_model_maincoder(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_arwkv7 : public llm_build_rwkv7_base { - llm_build_arwkv7(const llama_model & model, const llm_graph_params & params); + +struct llama_model_deci : public llama_model_base { + llama_model_deci(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_baichuan : public llm_graph_context { - llm_build_baichuan(const llama_model & model, const llm_graph_params & params); + +struct llama_model_baichuan : public llama_model_base { + llama_model_baichuan(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_bailingmoe2 : public llm_graph_context { - llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_falcon : public llama_model_base { + llama_model_falcon(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_bailingmoe : public llm_graph_context { - llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_grok : public llama_model_base { + llama_model_grok(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_bert : public llm_graph_context { - llm_build_bert(const llama_model & model, const llm_graph_params & params); + +struct llama_model_starcoder : public llama_model_base { + llama_model_starcoder(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_bitnet : public llm_graph_context { - llm_build_bitnet(const llama_model & model, const llm_graph_params & params); + +struct llama_model_refact : public llama_model_base { + llama_model_refact(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_bert : public llama_model_base { + llama_model_bert(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_jina_bert_v2 : public llama_model_base { + llama_model_jina_bert_v2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_bert::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_jina_bert_v3 : public llama_model_base { + llama_model_jina_bert_v3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_bert::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_nomic_bert : public llama_model_base { + llama_model_nomic_bert(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_bert::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_nomic_bert_moe : public llama_model_base { + llama_model_nomic_bert_moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_bert::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_modern_bert : public llama_model_base { + llama_model_modern_bert(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_neo_bert : public llama_model_base { + llama_model_neo_bert(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_eurobert : public llama_model_base { + llama_model_eurobert(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_bloom : public llm_graph_context { - llm_build_bloom(const llama_model & model, const llm_graph_params & params); + +struct llama_model_bloom : public llama_model_base { + llama_model_bloom(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_chameleon : public llm_graph_context { - llm_build_chameleon(const llama_model & model, const llm_graph_params & params); + +struct llama_model_mpt : public llama_model_base { + llama_model_mpt(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_chatglm : public llm_graph_context { - llm_build_chatglm(const llama_model & model, const llm_graph_params & params); + +struct llama_model_stablelm : public llama_model_base { + llama_model_stablelm(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_codeshell : public llm_graph_context { - llm_build_codeshell(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen : public llama_model_base { + llama_model_qwen(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_cogvlm : public llm_graph_context { - llm_build_cogvlm(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen2 : public llama_model_base { + llama_model_qwen2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_cohere2_iswa : public llm_graph_context { - llm_build_cohere2_iswa(const llama_model & model, const llm_graph_params & params); + +struct llama_model_dream : public llama_model_base { + llama_model_dream(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_command_r : public llm_graph_context { - llm_build_command_r(const llama_model & model, const llm_graph_params & params); + +struct llama_model_llada : public llama_model_base { + llama_model_llada(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_dbrx : public llm_graph_context { - llm_build_dbrx(const llama_model & model, const llm_graph_params & params); + +struct llama_model_llada_moe : public llama_model_base { + llama_model_llada_moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_deci : public llm_graph_context { - llm_build_deci(const llama_model & model, const llm_graph_params & params); + +struct llama_model_rnd1 : public llama_model_base { + llama_model_rnd1(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_deepseek2 : public llm_graph_context { - llm_build_deepseek2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen2vl : public llama_model_base { + llama_model_qwen2vl(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_deepseek : public llm_graph_context { - llm_build_deepseek(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen2moe : public llama_model_base { + llama_model_qwen2moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_dots1 : public llm_graph_context { - llm_build_dots1(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen3 : public llama_model_base { + llama_model_qwen3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_dream : public llm_graph_context { - llm_build_dream(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen3moe : public llama_model_base { + llama_model_qwen3moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_ernie4_5 : public llm_graph_context { - llm_build_ernie4_5(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen3vl : public llama_model_base { + llama_model_qwen3vl(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_ernie4_5_moe : public llm_graph_context { - llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen3vlmoe : public llama_model_base { + llama_model_qwen3vlmoe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_paddleocr : public llm_graph_context { - llm_build_paddleocr(const llama_model & model, const llm_graph_params & params); + +struct llama_model_phi2 : public llama_model_base { + llama_model_phi2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_exaone4 : public llm_graph_context { - llm_build_exaone4(const llama_model & model, const llm_graph_params & params); + +struct llama_model_phi3 : public llama_model_base { + llama_model_phi3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_exaone : public llm_graph_context { - llm_build_exaone(const llama_model & model, const llm_graph_params & params); + +struct llama_model_phimoe : public llama_model_base { + llama_model_phimoe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + using graph = llama_model_phi3::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_exaone_moe : public llm_graph_context { - llm_build_exaone_moe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_plamo : public llama_model_base { + llama_model_plamo(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_falcon : public llm_graph_context { - llm_build_falcon(const llama_model & model, const llm_graph_params & params); + +struct llama_model_plamo2 : public llama_model_base { + llama_model_plamo2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_mamba_base { + graph(const llama_model & model, const llm_graph_params & params); + private: + ggml_tensor * build_plamo2_mamba_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, int il); + ggml_tensor * build_plamo2_attn_layer(llm_graph_input_attn_kv * inp, ggml_tensor * inp_pos, ggml_tensor * cur, + const llama_model & model, int il); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_falcon_h1 : public llm_build_mamba_base { - llm_build_falcon_h1(const llama_model & model, const llm_graph_params & params); + +struct llama_model_plamo3 : public llama_model_base { + llama_model_plamo3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_gemma2_iswa : public llm_graph_context { - llm_build_gemma2_iswa(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gpt2 : public llama_model_base { + llama_model_gpt2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_gemma3 : public llm_graph_context { - llm_build_gemma3(const llama_model & model, const llm_graph_params & params); + +struct llama_model_codeshell : public llama_model_base { + llama_model_codeshell(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_gemma3n_iswa : public llm_graph_context { - const llama_model & model; - const int64_t n_embd_head; - const int64_t n_embd_altup; - const int64_t n_altup; - const int i_altup_act; - const int n_layer_sparsity = 10; // number of layers using activation sparsity - const float f_sparsity_std_mul = 1.6448533535003662f; // std_multiplier = normal_dist.icdf(0.95) +struct llama_model_orion : public llama_model_base { + llama_model_orion(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params); - ggml_tensor * calc_magnitude(ggml_tensor * x); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; - // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER] - ggml_tensor * build_inp_per_layer(); - ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer); + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_internlm2 : public llama_model_base { + llama_model_internlm2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - ggml_tensor * gaussian_topk(ggml_tensor * x); - ggml_tensor * altup_compute_router_modalities(ggml_tensor * x, int il); - ggml_tensor * altup_predict(ggml_tensor * cur, int il); - ggml_tensor * laurel(ggml_tensor * cur, int il); - ggml_tensor * altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_gemma4_iswa : public llm_graph_context { - const llama_model & model; - const int64_t n_embd_per_layer; +struct llama_model_minicpm3 : public llama_model_base { + llama_model_minicpm3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - llm_build_gemma4_iswa(const llama_model & model, const llm_graph_params & params); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; - // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER] - ggml_tensor * build_inp_per_layer(); - ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer); + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_gemma_embedding : public llm_graph_context { - llm_build_gemma_embedding(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gemma : public llama_model_base { + llama_model_gemma(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_gemma : public llm_graph_context { - llm_build_gemma(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gemma2 : public llama_model_base { + llama_model_gemma2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_glm4 : public llm_graph_context { - llm_build_glm4(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gemma3 : public llama_model_base { + llama_model_gemma3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_glm4_moe : public llm_graph_context { - llm_build_glm4_moe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gemma3n : public llama_model_base { + llama_model_gemma3n(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + const llama_model & model; + + const int64_t n_embd_head; + const int64_t n_embd_altup; + const int64_t n_altup; + const int i_altup_act; + const int n_layer_sparsity = 10; // number of layers using activation sparsity + const float f_sparsity_std_mul = 1.6448533535003662f; // std_multiplier = normal_dist.icdf(0.95) + + graph(const llama_model & model, const llm_graph_params & params); + ggml_tensor * calc_magnitude(ggml_tensor * x); + + // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER] + ggml_tensor * build_inp_per_layer(); + ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer); + + ggml_tensor * gaussian_topk(ggml_tensor * x); + ggml_tensor * altup_compute_router_modalities(ggml_tensor * x, int il); + ggml_tensor * altup_predict(ggml_tensor * cur, int il); + ggml_tensor * laurel(ggml_tensor * cur, int il); + ggml_tensor * altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_gpt2 : public llm_graph_context { - llm_build_gpt2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gemma4 : public llama_model_base { + llama_model_gemma4(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + const llama_model & model; + + const int64_t n_embd_per_layer; + + graph(const llama_model & model, const llm_graph_params & params); + + // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER] + ggml_tensor * build_inp_per_layer(); + ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_gptneox : public llm_graph_context { - llm_build_gptneox(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gemma_embedding : public llama_model_base { + llama_model_gemma_embedding(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_granite : public llm_graph_context { - llm_build_granite(const llama_model & model, const llm_graph_params & params); -private: - ggml_tensor * build_attention_layer( - ggml_tensor * cur, - ggml_tensor * inp_pos, - llm_graph_input_attn_kv * inp_attn, - const llama_model & model, - const int64_t n_embd_head, - const int il); +struct llama_model_starcoder2 : public llama_model_base { + llama_model_starcoder2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - ggml_tensor * build_layer_ffn( - ggml_tensor * cur, - ggml_tensor * inpSA, - const llama_model & model, - const int il); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_granite_hybrid : public llm_build_mamba_base { - llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params); - ggml_tensor * build_layer_ffn(ggml_tensor * cur, ggml_tensor * inpSA, const llama_model & model, const int il); - ggml_tensor * build_attention_layer(ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn, - const llama_model & model,const int64_t n_embd_head, const int il); + +struct llama_model_mamba : public llama_model_base { + llama_model_mamba(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_mamba_base { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_grok : public llm_graph_context { - llm_build_grok(const llama_model & model, const llm_graph_params & params); + +struct llama_model_mamba2 : public llama_model_base { + llama_model_mamba2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_mamba::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_grovemoe : public llm_graph_context { - llm_build_grovemoe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_jamba : public llama_model_base { + llama_model_jamba(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_mamba_base { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_hunyuan_dense : public llm_graph_context { - llm_build_hunyuan_dense(const llama_model & model, const llm_graph_params & params); + +struct llama_model_xverse : public llama_model_base { + llama_model_xverse(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_hunyuan_moe : public llm_graph_context { - llm_build_hunyuan_moe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_command_r : public llama_model_base { + llama_model_command_r(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_internlm2 : public llm_graph_context { - llm_build_internlm2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_cohere2 : public llama_model_base { + llama_model_cohere2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_jais : public llm_graph_context { - llm_build_jais(const llama_model & model, const llm_graph_params & params); + +struct llama_model_dbrx : public llama_model_base { + llama_model_dbrx(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_jais2 : public llm_graph_context { - llm_build_jais2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_olmo : public llama_model_base { + llama_model_olmo(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_jamba : public llm_build_mamba_base { - llm_build_jamba(const llama_model & model, const llm_graph_params & params); + +struct llama_model_olmo2 : public llama_model_base { + llama_model_olmo2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_kimi_linear : public llm_build_delta_net_base { - llm_build_kimi_linear(const llama_model & model, const llm_graph_params & params); - std::pair build_kda_autoregressive( - ggml_tensor * q, - ggml_tensor * k, - ggml_tensor * v, - ggml_tensor * gk, - ggml_tensor * beta, - ggml_tensor * state, - int il); +struct llama_model_olmoe : public llama_model_base { + llama_model_olmoe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - std::pair build_kda_chunking( - ggml_tensor * q, - ggml_tensor * k, - ggml_tensor * v, - ggml_tensor * gk, - ggml_tensor * beta, - ggml_tensor * state, - ggml_tensor * causal_mask, - ggml_tensor * identity, - ggml_tensor * diag_mask, - int il); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; - const llama_model & model; + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_lfm2 : public llm_graph_context { - llm_build_lfm2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_openelm : public llama_model_base { + llama_model_openelm(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_llada : public llm_graph_context { - llm_build_llada(const llama_model & model, const llm_graph_params & params); + +struct llama_model_gptneox : public llama_model_base { + llama_model_gptneox(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_llada_moe : public llm_graph_context { - llm_build_llada_moe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_arctic : public llama_model_base { + llama_model_arctic(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_llama : public llm_graph_context { - llm_build_llama(const llama_model & model, const llm_graph_params & params); + +struct llama_model_deepseek : public llama_model_base { + llama_model_deepseek(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_llama4 : public llm_graph_context { - llm_build_llama4(const llama_model & model, const llm_graph_params & params); + +struct llama_model_deepseek2 : public llama_model_base { + llama_model_deepseek2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_maincoder : public llm_graph_context { - llm_build_maincoder(const llama_model & model, const llm_graph_params & params); + +struct llama_model_deepseek2ocr : public llama_model_base { + llama_model_deepseek2ocr(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_deepseek2::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_mamba : public llm_build_mamba_base { - llm_build_mamba(const llama_model & model, const llm_graph_params & params); + +struct llama_model_glm_dsa : public llama_model_base { + llama_model_glm_dsa(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_deepseek2::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_mimo2_iswa : public llm_graph_context { - llm_build_mimo2_iswa(const llama_model & model, const llm_graph_params & params); + +struct llama_model_mistral4 : public llama_model_deepseek2 { + llama_model_mistral4(const struct llama_model_params & params) : llama_model_deepseek2(params) {} + // reuse load_arch_hparams and load_arch_tensors from llama_model_deepseek2 + + using graph = llama_model_deepseek2::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_minicpm3 : public llm_graph_context { - llm_build_minicpm3(const llama_model & model, const llm_graph_params & params); + +struct llama_model_chatglm : public llama_model_base { + llama_model_chatglm(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_minimax_m2 : public llm_graph_context { - llm_build_minimax_m2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_glm4 : public llama_model_base { + llama_model_glm4(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_mistral3 : public llm_graph_context { - llm_build_mistral3(const llama_model & model, const llm_graph_params & params); + +struct llama_model_glm4_moe : public llama_model_base { + llama_model_glm4_moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_modern_bert : public llm_graph_context { - llm_build_modern_bert(const llama_model & model, const llm_graph_params & params); + +struct llama_model_bitnet : public llama_model_base { + llama_model_bitnet(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_mpt : public llm_graph_context { - llm_build_mpt(const llama_model & model, const llm_graph_params & params); + +struct llama_model_t5 : public llama_model_base { + llama_model_t5(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_nemotron : public llm_graph_context { - llm_build_nemotron(const llama_model & model, const llm_graph_params & params); + +struct llama_model_t5encoder : public llama_model_base { + llama_model_t5encoder(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_t5::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_nemotron_h : public llm_build_mamba_base { - llm_build_nemotron_h(const llama_model & model, const llm_graph_params & params); - ggml_tensor * build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il); - ggml_tensor * build_attention_layer(ggml_tensor * cur, llm_graph_input_attn_kv * inp_attn, - const llama_model & model, int64_t n_embd_head, int il); + +struct llama_model_jais : public llama_model_base { + llama_model_jais(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_neo_bert : public llm_graph_context { - llm_build_neo_bert(const llama_model & model, const llm_graph_params & params); + +struct llama_model_jais2 : public llama_model_base { + llama_model_jais2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_eurobert : public llm_graph_context { - llm_build_eurobert(const llama_model & model, const llm_graph_params & params); + +struct llama_model_nemotron : public llama_model_base { + llama_model_nemotron(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_olmo2 : public llm_graph_context { - llm_build_olmo2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_nemotron_h : public llama_model_base { + llama_model_nemotron_h(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_mamba_base { + graph(const llama_model & model, const llm_graph_params & params); + ggml_tensor * build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il); + ggml_tensor * build_attention_layer(ggml_tensor * cur, llm_graph_input_attn_kv * inp_attn, + const llama_model & model, int64_t n_embd_head, int il); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_olmoe : public llm_graph_context { - llm_build_olmoe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_nemotron_h_moe : public llama_model_nemotron_h { + llama_model_nemotron_h_moe(const struct llama_model_params & params) : llama_model_nemotron_h(params) {} + // reuse load_arch_hparams and load_arch_tensors from llama_model_nemotron_h + + using graph = llama_model_nemotron_h::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_olmo : public llm_graph_context { - llm_build_olmo(const llama_model & model, const llm_graph_params & params); + +struct llama_model_exaone : public llama_model_base { + llama_model_exaone(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_openai_moe_iswa : public llm_graph_context { - llm_build_openai_moe_iswa(const llama_model & model, const llm_graph_params & params); + +struct llama_model_exaone4 : public llama_model_base { + llama_model_exaone4(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_openelm : public llm_graph_context { - llm_build_openelm(const llama_model & model, const llm_graph_params & params); + +struct llama_model_exaone_moe : public llama_model_base { + llama_model_exaone_moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_orion : public llm_graph_context { - llm_build_orion(const llama_model & model, const llm_graph_params & params); + +struct llama_model_rwkv6 : public llama_model_base { + llama_model_rwkv6(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_rwkv6_base { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_pangu_embedded : public llm_graph_context { - llm_build_pangu_embedded(const llama_model & model, const llm_graph_params & params); + +struct llama_model_rwkv6qwen2 : public llama_model_base { + llama_model_rwkv6qwen2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_rwkv6_base { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_phi2 : public llm_graph_context { - llm_build_phi2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_rwkv7 : public llama_model_base { + llama_model_rwkv7(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_rwkv7_base { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_phi3 : public llm_graph_context { - llm_build_phi3(const llama_model & model, const llm_graph_params & params); + +struct llama_model_arwkv7 : public llama_model_base { + llama_model_arwkv7(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_rwkv7_base { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_plamo2 : public llm_build_mamba_base { - llm_build_plamo2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_granite : public llama_model_base { + llama_model_granite(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + private: - ggml_tensor * build_plamo2_mamba_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, int il); - ggml_tensor * build_plamo2_attn_layer(llm_graph_input_attn_kv * inp, ggml_tensor * inp_pos, ggml_tensor * cur, - const llama_model & model, int il); + ggml_tensor * build_attention_layer( + ggml_tensor * cur, + ggml_tensor * inp_pos, + llm_graph_input_attn_kv * inp_attn, + const llama_model & model, + const int64_t n_embd_head, + const int il); + + ggml_tensor * build_layer_ffn( + ggml_tensor * cur, + ggml_tensor * inpSA, + const llama_model & model, + const int il); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_plamo : public llm_graph_context { - llm_build_plamo(const llama_model & model, const llm_graph_params & params); + +struct llama_model_granite_moe : public llama_model_base { + llama_model_granite_moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_granite::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_plamo3 : public llm_graph_context { - llm_build_plamo3(const llama_model & model, const llm_graph_params & params); + +struct llama_model_minicpm : public llama_model_base { + llama_model_minicpm(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + using graph = llama_model_granite::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_plm : public llm_graph_context { - llm_build_plm(const llama_model & model, const llm_graph_params & params); + +struct llama_model_granite_hybrid : public llama_model_base { + llama_model_granite_hybrid(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_mamba_base { + graph(const llama_model & model, const llm_graph_params & params); + ggml_tensor * build_layer_ffn(ggml_tensor * cur, ggml_tensor * inpSA, const llama_model & model, const int il); + ggml_tensor * build_attention_layer(ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn, + const llama_model & model,const int64_t n_embd_head, const int il); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen2 : public llm_graph_context { - llm_build_qwen2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_chameleon : public llama_model_base { + llama_model_chameleon(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen2moe : public llm_graph_context { - llm_build_qwen2moe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_wavtokenizer_dec : public llama_model_base { + llama_model_wavtokenizer_dec(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen2vl : public llm_graph_context { - llm_build_qwen2vl(const llama_model & model, const llm_graph_params & params); + +struct llama_model_plm : public llama_model_base { + llama_model_plm(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen3 : public llm_graph_context { - llm_build_qwen3(const llama_model & model, const llm_graph_params & params); + +struct llama_model_bailingmoe : public llama_model_base { + llama_model_bailingmoe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen3moe : public llm_graph_context { - llm_build_qwen3moe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_bailingmoe2 : public llama_model_base { + llama_model_bailingmoe2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen3vl : public llm_graph_context { - llm_build_qwen3vl(const llama_model & model, const llm_graph_params & params); + +struct llama_model_seed_oss : public llama_model_base { + llama_model_seed_oss(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen3vlmoe : public llm_graph_context { - llm_build_qwen3vlmoe(const llama_model & model, const llm_graph_params & params); + +struct llama_model_dots1 : public llama_model_base { + llama_model_dots1(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen3next : public llm_build_delta_net_base { - llm_build_qwen3next(const llama_model & model, const llm_graph_params & params); -private: - ggml_tensor * build_layer_attn( - llm_graph_input_attn_kv * inp_attn, - ggml_tensor * cur, - ggml_tensor * inp_pos, - int il); - ggml_tensor * build_layer_attn_linear( - llm_graph_input_rs * inp, - ggml_tensor * cur, - int il); +struct llama_model_arcee : public llama_model_base { + llama_model_arcee(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - ggml_tensor * build_layer_ffn( - ggml_tensor * cur, - int il); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; - ggml_tensor * build_norm_gated( - ggml_tensor * input, - ggml_tensor * weights, - ggml_tensor * gate, - int layer); - - // returns pair of qkv, z - std::pair build_qkvz( - ggml_tensor * input, - int il); - - const llama_model & model; + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen35 : public llm_build_delta_net_base { - llm_build_qwen35(const llama_model & model, const llm_graph_params & params); -private: - ggml_tensor * build_layer_attn( - llm_graph_input_attn_kv * inp_attn, - ggml_tensor * cur, - ggml_tensor * inp_pos, - int * sections, - int il); - ggml_tensor * build_layer_attn_linear( - llm_graph_input_rs * inp, - ggml_tensor * cur, - int il); +struct llama_model_afmoe : public llama_model_base { + llama_model_afmoe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - ggml_tensor * build_layer_ffn( - ggml_tensor * cur, - int il); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; - ggml_tensor * build_norm_gated( - ggml_tensor * input, - ggml_tensor * weights, - ggml_tensor * gate, - int layer); - - // returns pair of qkv, z - std::pair build_qkvz( - ggml_tensor * input, - int il); - - const llama_model & model; + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -// TODO: derive llm_build_delta_net_base instead -struct llm_build_qwen35moe : public llm_build_delta_net_base { - llm_build_qwen35moe(const llama_model & model, const llm_graph_params & params); -private: - ggml_tensor * build_layer_attn( - llm_graph_input_attn_kv * inp_attn, - ggml_tensor * cur, - ggml_tensor * inp_pos, - int * sections, - int il); - ggml_tensor * build_layer_attn_linear( - llm_graph_input_rs * inp, - ggml_tensor * cur, - int il); +struct llama_model_ernie4_5 : public llama_model_base { + llama_model_ernie4_5(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; - ggml_tensor * build_layer_ffn( - ggml_tensor * cur, - int il); + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; - ggml_tensor * build_norm_gated( - ggml_tensor * input, - ggml_tensor * weights, - ggml_tensor * gate, - int layer); - - // returns pair of qkv, z - std::pair build_qkvz( - ggml_tensor * input, - int il); - - const llama_model & model; + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_qwen : public llm_graph_context { - llm_build_qwen(const llama_model & model, const llm_graph_params & params); + +struct llama_model_ernie4_5_moe : public llama_model_ernie4_5 { + llama_model_ernie4_5_moe(const struct llama_model_params & params) : llama_model_ernie4_5(params) {} + // reuse load_arch_hparams and load_arch_tensors from llama_model_ernie4_5 + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_refact : public llm_graph_context { - llm_build_refact(const llama_model & model, const llm_graph_params & params); + +struct llama_model_paddleocr : public llama_model_ernie4_5 { + llama_model_paddleocr(const struct llama_model_params & params) : llama_model_ernie4_5(params) {} + // reuse load_arch_hparams and load_arch_tensors from llama_model_ernie4_5 + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_rnd1 : public llm_graph_context { - llm_build_rnd1(const llama_model & model, const llm_graph_params & params); + +struct llama_model_hunyuan_moe : public llama_model_base { + llama_model_hunyuan_moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_rwkv6 : public llm_build_rwkv6_base { - llm_build_rwkv6(const llama_model & model, const llm_graph_params & params); + +struct llama_model_hunyuan_vl : public llama_model_base { + llama_model_hunyuan_vl(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_rwkv6qwen2 : public llm_build_rwkv6_base { - llm_build_rwkv6qwen2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_hunyuan_dense : public llama_model_hunyuan_vl { + llama_model_hunyuan_dense(const struct llama_model_params & params) : llama_model_hunyuan_vl(params) {} + // reuse load_arch_hparams and load_arch_tensors from llama_model_hunyuan_vl + + using graph = llama_model_hunyuan_vl::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_rwkv7 : public llm_build_rwkv7_base { - llm_build_rwkv7(const llama_model & model, const llm_graph_params & params); + +struct llama_model_smollm3 : public llama_model_base { + llama_model_smollm3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_seed_oss : public llm_graph_context { - llm_build_seed_oss(const llama_model & model, const llm_graph_params & params); + +struct llama_model_openai_moe : public llama_model_base { + llama_model_openai_moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_smallthinker : public llm_graph_context { - llm_build_smallthinker(const llama_model & model, const llm_graph_params & params); + +struct llama_model_falcon_h1 : public llama_model_base { + llama_model_falcon_h1(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_mamba_base { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_smollm3 : public llm_graph_context { - llm_build_smollm3(const llama_model & model, const llm_graph_params & params); + +struct llama_model_lfm2 : public llama_model_base { + llama_model_lfm2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_stablelm : public llm_graph_context { - llm_build_stablelm(const llama_model & model, const llm_graph_params & params); + +struct llama_model_lfm2moe : public llama_model_base { + llama_model_lfm2moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + using graph = llama_model_lfm2::graph; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_starcoder2 : public llm_graph_context { - llm_build_starcoder2(const llama_model & model, const llm_graph_params & params); + +struct llama_model_smallthinker : public llama_model_base { + llama_model_smallthinker(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + template + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_starcoder : public llm_graph_context { - llm_build_starcoder(const llama_model & model, const llm_graph_params & params); + +struct llama_model_grovemoe : public llama_model_base { + llama_model_grovemoe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_step35_iswa : public llm_graph_context { - llm_build_step35_iswa(const llama_model & model, const llm_graph_params & params); + +struct llama_model_apertus : public llama_model_base { + llama_model_apertus(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -template -struct llm_build_t5 : public llm_graph_context { - llm_build_t5(const llama_model & model, const llm_graph_params & params); + +struct llama_model_minimax_m2 : public llama_model_base { + llama_model_minimax_m2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_t5encoder : public llm_build_t5 { - llm_build_t5encoder(const llama_model & model, const llm_graph_params & params); + +struct llama_model_cogvlm : public llama_model_base { + llama_model_cogvlm(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_wavtokenizer_dec : public llm_graph_context { - llm_build_wavtokenizer_dec(const llama_model & model, const llm_graph_params & params); + +struct llama_model_pangu_embed : public llama_model_base { + llama_model_pangu_embed(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; -struct llm_build_xverse : public llm_graph_context { - llm_build_xverse(const llama_model & model, const llm_graph_params & params); + +struct llama_model_qwen3next : public llama_model_base { + llama_model_qwen3next(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_delta_net_base { + graph(const llama_model & model, const llm_graph_params & params); + private: + ggml_tensor * build_layer_attn( + llm_graph_input_attn_kv * inp_attn, + ggml_tensor * cur, + ggml_tensor * inp_pos, + int il); + + ggml_tensor * build_layer_attn_linear( + llm_graph_input_rs * inp, + ggml_tensor * cur, + int il); + + ggml_tensor * build_layer_ffn( + ggml_tensor * cur, + int il); + + ggml_tensor * build_norm_gated( + ggml_tensor * input, + ggml_tensor * weights, + ggml_tensor * gate, + int layer); + + // returns pair of qkv, z + std::pair build_qkvz( + ggml_tensor * input, + int il); + + const llama_model & model; + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_qwen35 : public llama_model_base { + llama_model_qwen35(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_delta_net_base { + graph(const llama_model & model, const llm_graph_params & params); + private: + ggml_tensor * build_layer_attn( + llm_graph_input_attn_kv * inp_attn, + ggml_tensor * cur, + ggml_tensor * inp_pos, + int * sections, + int il); + + ggml_tensor * build_layer_attn_linear( + llm_graph_input_rs * inp, + ggml_tensor * cur, + int il); + + ggml_tensor * build_layer_ffn( + ggml_tensor * cur, + int il); + + ggml_tensor * build_norm_gated( + ggml_tensor * input, + ggml_tensor * weights, + ggml_tensor * gate, + int layer); + + // returns pair of qkv, z + std::pair build_qkvz( + ggml_tensor * input, + int il); + + const llama_model & model; + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_qwen35moe : public llama_model_base { + llama_model_qwen35moe(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_delta_net_base { + graph(const llama_model & model, const llm_graph_params & params); + private: + ggml_tensor * build_layer_attn( + llm_graph_input_attn_kv * inp_attn, + ggml_tensor * cur, + ggml_tensor * inp_pos, + int * sections, + int il); + + ggml_tensor * build_layer_attn_linear( + llm_graph_input_rs * inp, + ggml_tensor * cur, + int il); + + ggml_tensor * build_layer_ffn( + ggml_tensor * cur, + int il); + + ggml_tensor * build_norm_gated( + ggml_tensor * input, + ggml_tensor * weights, + ggml_tensor * gate, + int layer); + + // returns pair of qkv, z + std::pair build_qkvz( + ggml_tensor * input, + int il); + + const llama_model & model; + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_mistral3 : public llama_model_base { + llama_model_mistral3(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_mimo2 : public llama_model_base { + llama_model_mimo2(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_kimi_linear : public llama_model_base { + llama_model_kimi_linear(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_build_delta_net_base { + graph(const llama_model & model, const llm_graph_params & params); + + std::pair build_kda_autoregressive( + ggml_tensor * q, + ggml_tensor * k, + ggml_tensor * v, + ggml_tensor * gk, + ggml_tensor * beta, + ggml_tensor * state, + int il); + + std::pair build_kda_chunking( + ggml_tensor * q, + ggml_tensor * k, + ggml_tensor * v, + ggml_tensor * gk, + ggml_tensor * beta, + ggml_tensor * state, + ggml_tensor * causal_mask, + ggml_tensor * identity, + ggml_tensor * diag_mask, + int il); + + const llama_model & model; + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; +}; + + +struct llama_model_step35 : public llama_model_base { + llama_model_step35(const struct llama_model_params & params) : llama_model_base(params) {} + void load_arch_hparams(llama_model_loader & ml) override; + void load_arch_tensors(llama_model_loader & ml) override; + + struct graph : public llm_graph_context { + graph(const llama_model & model, const llm_graph_params & params); + }; + + std::unique_ptr build_arch_graph(const llm_graph_params & params) const override; }; diff --git a/src/models/modern-bert.cpp b/src/models/modern-bert.cpp index 5c6a1b5e1b..e9b79ffc6d 100644 --- a/src/models/modern-bert.cpp +++ b/src/models/modern-bert.cpp @@ -1,6 +1,69 @@ #include "models.h" -llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_modern_bert::load_arch_hparams(llama_model_loader & ml) { + const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + if (found_swa && hparams.n_swa > 0) { + hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + uint32_t swa_period = 3; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period, true); + } else { + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + } + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 12: + type = LLM_TYPE_47M; break; // granite-embedding-small + case 22: + type = LLM_TYPE_149M; break; // modern-bert-base + case 28: + type = LLM_TYPE_395M; break; // modern-bert-large + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_modern_bert::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + + for(int i = 0; i < n_layer; ++i) { + auto& layer = layers[i]; + + if ( i != 0 ) { + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + } else{ + // layer 0 uses identity + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + } + + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, 3 * n_embd }, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, 2 * n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + } + + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); + cls_norm = create_tensor(tn(LLM_TENSOR_CLS_NORM, "weight"), {n_embd}, TENSOR_NOT_REQUIRED); + +} + +std::unique_ptr llama_model_modern_bert::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_modern_bert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/mpt.cpp b/src/models/mpt.cpp index 8596bbb202..cfc60e8de2 100644 --- a/src/models/mpt.cpp +++ b/src/models/mpt.cpp @@ -1,6 +1,70 @@ #include "models.h" -llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_mpt::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv, false); + ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 48: type = LLM_TYPE_30B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_mpt::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, TENSOR_NOT_REQUIRED); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + + // FIXME test-llama-archs crashes if q_norm is created + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + // AWQ ScaleActivation layer + layer.ffn_act = create_tensor(tn(LLM_TENSOR_FFN_ACT, "scales", i), {n_ff}, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_mpt::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_mpt::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/nemotron-h-moe.cpp b/src/models/nemotron-h-moe.cpp new file mode 100644 index 0000000000..a59cc6c9fb --- /dev/null +++ b/src/models/nemotron-h-moe.cpp @@ -0,0 +1,6 @@ +#include "models.h" + +std::unique_ptr llama_model_nemotron_h_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/nemotron-h.cpp b/src/models/nemotron-h.cpp index dc07d43df5..865461f61d 100644 --- a/src/models/nemotron-h.cpp +++ b/src/models/nemotron-h.cpp @@ -1,6 +1,127 @@ #include "models.h" -llm_build_nemotron_h::llm_build_nemotron_h(const llama_model & model, const llm_graph_params & params) : +void llama_model_nemotron_h::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + // A layer is recurrent IFF the n_head_kv value is set to 0 and + // the n_ff value is set to 0 + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = (hparams.n_head_kv(i) == 0 && hparams.n_ff(i) == 0); + } + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_MOE_LATENT_SIZE, hparams.moe_latent_size, false); + + switch (hparams.n_layer) { + case 52: type = LLM_TYPE_31B_A3_5B; break; // Nemotron-H_MOE 31B + case 56: type = LLM_TYPE_9B; break; + case 88: type = LLM_TYPE_120B_A12B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_nemotron_h::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + // mamba2 Mixer SSM params + // NOTE: int64_t for tensor dimensions + const int64_t d_conv = hparams.ssm_d_conv; + const int64_t d_inner = hparams.ssm_d_inner; + const int64_t d_state = hparams.ssm_d_state; + const int64_t n_ssm_head = hparams.ssm_dt_rank; + const int64_t n_group = hparams.ssm_n_group; + const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_ssm_head; + const int64_t moe_n_embd = hparams.moe_latent_size > 0 ? hparams.moe_latent_size : n_embd; + + // embeddings + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + { + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed, duplicated to allow offloading + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + // all blocks use the attn norm + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.is_recurrent(i)) { + // ssm layers + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0); + + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0); + layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED); + + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0); + + // no "weight" suffix for these + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0); + layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0); + + layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0); + + // out_proj + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0); + } else if (hparams.n_ff(i) == 0) { + // attention layers (with optional bias) + const int64_t n_head_i = hparams.n_head(i); + const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i); + const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i); + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + } else { + if (n_expert != 0) { + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + const int64_t n_ff_shexp = hparams.n_ff_shexp; + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert}, 0); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert }, 0); + + // MoE branch + layer.ffn_latent_down = create_tensor(tn(LLM_TENSOR_FFN_LATENT_DOWN, "weight", i), {n_embd, moe_n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_latent_up = create_tensor(tn(LLM_TENSOR_FFN_LATENT_UP, "weight", i), {moe_n_embd, n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, moe_n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {moe_n_embd, n_ff_exp, n_expert}, 0); + + // Shared expert branch + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + + } else { + // mlp layers + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { hparams.n_ff(i), n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, hparams.n_ff(i)}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {hparams.n_ff(i)}, TENSOR_NOT_REQUIRED); + } + } + } +} + +std::unique_ptr llama_model_nemotron_h::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_nemotron_h::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); @@ -60,7 +181,7 @@ llm_build_nemotron_h::llm_build_nemotron_h(const llama_model & model, const llm_ ggml_build_forward_expand(gf, cur); } -ggml_tensor * llm_build_nemotron_h::build_attention_layer(ggml_tensor * cur, +ggml_tensor * llama_model_nemotron_h::graph::build_attention_layer(ggml_tensor * cur, llm_graph_input_attn_kv * inp_attn, const llama_model & model, int64_t n_embd_head, @@ -76,7 +197,7 @@ ggml_tensor * llm_build_nemotron_h::build_attention_layer(ggml_tensor * return cur; } -ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il) { +ggml_tensor * llama_model_nemotron_h::graph::build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il) { if (model.layers[il].ffn_gate_inp == nullptr) { cur = build_ffn(cur, model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up_s, diff --git a/src/models/nemotron.cpp b/src/models/nemotron.cpp index 054b16fe0e..0c72ed297a 100644 --- a/src/models/nemotron.cpp +++ b/src/models/nemotron.cpp @@ -1,6 +1,52 @@ #include "models.h" -llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_nemotron::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_4B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_nemotron::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional MLP bias + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_nemotron::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_nemotron::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/neo-bert.cpp b/src/models/neo-bert.cpp index da68024a34..f00d6eddfc 100644 --- a/src/models/neo-bert.cpp +++ b/src/models/neo-bert.cpp @@ -1,6 +1,46 @@ #include "models.h" -llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_neo_bert::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + if (hparams.n_layer == 28) { + type = LLM_TYPE_250M; + } +} + +void llama_model_neo_bert::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); + cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); + + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + + output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff*2}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + } +} + +std::unique_ptr llama_model_neo_bert::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_neo_bert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/nomic-bert-moe.cpp b/src/models/nomic-bert-moe.cpp new file mode 100644 index 0000000000..a17abe2c26 --- /dev/null +++ b/src/models/nomic-bert-moe.cpp @@ -0,0 +1,72 @@ +#include "models.h" + +void llama_model_nomic_bert_moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS, hparams.moe_every_n_layers, 0); + + if (hparams.n_layer == 12 && hparams.n_embd == 768) { + if (arch == LLM_ARCH_NOMIC_BERT) { + type = LLM_TYPE_137M; + } else if (arch == LLM_ARCH_NOMIC_BERT_MOE && hparams.moe_every_n_layers == 2) { + type = LLM_TYPE_475M; + } + } +} + +void llama_model_nomic_bert_moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_token_types == 0) { + throw std::runtime_error(arch_name() + " model needs to define token type count"); + } + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_BERT) { + pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); + + cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); + cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); + + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + } + + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); + layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i), {n_embd}, 0); + + if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) { + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + } else { + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_NOMIC_BERT) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + } + } + + layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0); + layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_nomic_bert_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/nomic-bert.cpp b/src/models/nomic-bert.cpp new file mode 100644 index 0000000000..5a8a558445 --- /dev/null +++ b/src/models/nomic-bert.cpp @@ -0,0 +1,72 @@ +#include "models.h" + +void llama_model_nomic_bert::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS, hparams.moe_every_n_layers, 0); + + if (hparams.n_layer == 12 && hparams.n_embd == 768) { + if (arch == LLM_ARCH_NOMIC_BERT) { + type = LLM_TYPE_137M; + } else if (arch == LLM_ARCH_NOMIC_BERT_MOE && hparams.moe_every_n_layers == 2) { + type = LLM_TYPE_475M; + } + } +} + +void llama_model_nomic_bert::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_token_types == 0) { + throw std::runtime_error(arch_name() + " model needs to define token type count"); + } + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_BERT) { + pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); + + cls = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED); + cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); + + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"), {hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + } + + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); + layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i), {n_embd}, 0); + + if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) { + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + } else { + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + if (arch == LLM_ARCH_NOMIC_BERT) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + } + } + + layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0); + layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_nomic_bert::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + diff --git a/src/models/olmo.cpp b/src/models/olmo.cpp index a9974025f0..161035e72b 100644 --- a/src/models/olmo.cpp +++ b/src/models/olmo.cpp @@ -1,6 +1,46 @@ #include "models.h" -llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_olmo::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv, false); + + switch (hparams.n_layer) { + case 22: type = LLM_TYPE_1B; break; + case 32: type = LLM_TYPE_7B; break; + case 80: type = LLM_TYPE_70B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_olmo::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_olmo::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_olmo::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/olmo2.cpp b/src/models/olmo2.cpp index 308d2a600c..9633f26996 100644 --- a/src/models/olmo2.cpp +++ b/src/models/olmo2.cpp @@ -1,7 +1,68 @@ #include "models.h" +void llama_model_olmo2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + if (found_swa && hparams.n_swa > 0) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = 1.0; // See olmo2.cpp + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + } else { + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + } + + switch (hparams.n_layer) { + case 16: type = LLM_TYPE_1B; break; + case 32: type = LLM_TYPE_7B; break; + case 40: type = LLM_TYPE_13B; break; + case 64: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_olmo2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t n_embd_head = n_embd / n_head; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_head_kv * n_embd_head}, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_olmo2::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { + return std::make_unique>(*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_olmo2::llm_build_olmo2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_olmo2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); @@ -146,5 +207,5 @@ llm_build_olmo2::llm_build_olmo2(const llama_model & model, const llm_grap } // Explicit template instantiations -template struct llm_build_olmo2; -template struct llm_build_olmo2; +template struct llama_model_olmo2::graph; +template struct llama_model_olmo2::graph; diff --git a/src/models/olmoe.cpp b/src/models/olmoe.cpp index ed46a00ef9..4bb9013054 100644 --- a/src/models/olmoe.cpp +++ b/src/models/olmoe.cpp @@ -1,6 +1,55 @@ #include "models.h" -llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_olmoe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 16: type = LLM_TYPE_A1_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_olmoe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0"); + } + + // MoE branch + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + } +} + +std::unique_ptr llama_model_olmoe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_olmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/openai-moe-iswa.cpp b/src/models/openai-moe.cpp similarity index 51% rename from src/models/openai-moe-iswa.cpp rename to src/models/openai-moe.cpp index 50992b8d50..13a590ce64 100644 --- a/src/models/openai-moe-iswa.cpp +++ b/src/models/openai-moe.cpp @@ -1,6 +1,67 @@ #include "models.h" -llm_build_openai_moe_iswa::llm_build_openai_moe_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_openai_moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + uint32_t swa_period = 2; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_20B; break; + case 36: type = LLM_TYPE_120B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_openai_moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t n_ff_exp = hparams.n_ff_exp; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0); + + layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_gate_inp_b = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "bias", i), {n_expert}, 0); + layer.ffn_gate_exps_b = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "bias", i), {n_ff_exp, n_expert}, 0); + layer.ffn_down_exps_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "bias", i), { n_embd, n_expert}, 0); + layer.ffn_up_exps_b = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "bias", i), {n_ff_exp, n_expert}, 0); + } +} + +std::unique_ptr llama_model_openai_moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_openai_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/openelm.cpp b/src/models/openelm.cpp index 514ac33517..b4128e116e 100644 --- a/src/models/openelm.cpp +++ b/src/models/openelm.cpp @@ -1,6 +1,53 @@ #include "models.h" -llm_build_openelm::llm_build_openelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_openelm::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 16: type = LLM_TYPE_270M; break; + case 20: type = LLM_TYPE_450M; break; + case 28: type = LLM_TYPE_1B; break; + case 36: type = LLM_TYPE_3B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_openelm::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + // init output from the input tok embed + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + + for (int i = 0; i < n_layer; ++i) { + const int64_t n_head = hparams.n_head(i); + const int64_t n_head_qkv = 2*hparams.n_head_kv(i) + n_head; + const int64_t n_ff = hparams.n_ff(i); + + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_head_qkv*n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head*n_embd_head_k, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_openelm::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_openelm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/orion.cpp b/src/models/orion.cpp index a5874b6dee..7ace0a5139 100644 --- a/src/models/orion.cpp +++ b/src/models/orion.cpp @@ -1,6 +1,46 @@ #include "models.h" -llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_orion::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 40: type = LLM_TYPE_14B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_orion::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_orion::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_orion::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/paddleocr.cpp b/src/models/paddleocr.cpp index 56cb1d94c5..1c0eadefa9 100644 --- a/src/models/paddleocr.cpp +++ b/src/models/paddleocr.cpp @@ -1,6 +1,10 @@ #include "models.h" -llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_graph_params & params) : +std::unique_ptr llama_model_paddleocr::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_paddleocr::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { // NOTE: same with qwen2vl.cpp, but bias tensors are optional diff --git a/src/models/pangu-embedded.cpp b/src/models/pangu-embed.cpp similarity index 53% rename from src/models/pangu-embedded.cpp rename to src/models/pangu-embed.cpp index 53464f21d2..41b7e2ac23 100644 --- a/src/models/pangu-embedded.cpp +++ b/src/models/pangu-embed.cpp @@ -1,6 +1,60 @@ #include "models.h" -llm_build_pangu_embedded::llm_build_pangu_embedded(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_pangu_embed::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 26: type = LLM_TYPE_1B; break; // openPangu-Embedded-1B-V1.1 + case 34: type = LLM_TYPE_7B; break; // openPangu-Embedded-7B-V1.1 + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_pangu_embed::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + // weight tensors + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_pangu_embed::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_pangu_embed::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/phi2.cpp b/src/models/phi2.cpp index 0fb3ffa2e6..a333602c72 100644 --- a/src/models/phi2.cpp +++ b/src/models/phi2.cpp @@ -1,6 +1,50 @@ #include "models.h" -llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_phi2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1B; break; + case 32: type = LLM_TYPE_3B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_phi2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + } +} + +std::unique_ptr llama_model_phi2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_phi2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/phi3.cpp b/src/models/phi3.cpp index 39af285d3c..0a65e91fef 100644 --- a/src/models/phi3.cpp +++ b/src/models/phi3.cpp @@ -1,7 +1,71 @@ #include "models.h" +void llama_model_phi3::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1B; break; + case 32: type = LLM_TYPE_3B; break; + case 40: type = LLM_TYPE_14B; break; + default: type = LLM_TYPE_UNKNOWN; + } + + const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + + if (found_swa && hparams.n_swa > 0) { + LLAMA_LOG_WARN("%s: Phi SWA is currently disabled - results might be suboptimal for some models (see %s)\n", + __func__, "https://github.com/ggml-org/llama.cpp/pull/13676"); + + // TODO: fix conversion scripts to correctly populate `n_swa` and `n_swa_pattern` + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + + hparams.n_swa = 0; + hparams.set_swa_pattern(1); + } +} + +void llama_model_phi3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, TENSOR_NOT_REQUIRED); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, 2 * n_ff }, 0); + + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } +} + +std::unique_ptr llama_model_phi3::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) { + return std::make_unique> (*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_phi3::llm_build_phi3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_phi3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); @@ -128,5 +192,5 @@ llm_build_phi3::llm_build_phi3(const llama_model & model, const llm_graph_ } // Explicit template instantiations -template struct llm_build_phi3; -template struct llm_build_phi3; +template struct llama_model_phi3::graph; +template struct llama_model_phi3::graph; diff --git a/src/models/phimoe.cpp b/src/models/phimoe.cpp new file mode 100644 index 0000000000..4575d6139c --- /dev/null +++ b/src/models/phimoe.cpp @@ -0,0 +1,55 @@ +#include "models.h" + +void llama_model_phimoe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_16x3_8B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_phimoe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t n_embd_head = n_embd / n_head; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, 0); + output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), { n_vocab }, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), { n_embd }, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), { n_embd }, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } +} + +std::unique_ptr llama_model_phimoe::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) { + return std::make_unique> (*this, params); + } else { + return std::make_unique>(*this, params); + } +} + diff --git a/src/models/plamo.cpp b/src/models/plamo.cpp index 4d5c84506c..4c16c20a0d 100644 --- a/src/models/plamo.cpp +++ b/src/models/plamo.cpp @@ -1,6 +1,42 @@ #include "models.h" -llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_plamo::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 40: type = LLM_TYPE_13B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_plamo::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_plamo::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_plamo::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/plamo2.cpp b/src/models/plamo2.cpp index b6142daebd..29c8702606 100644 --- a/src/models/plamo2.cpp +++ b/src/models/plamo2.cpp @@ -1,8 +1,109 @@ #include "models.h" - #include "llama-memory-recurrent.h" -llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_params & params) : +void llama_model_plamo2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + // Load Mamba SSM parameters + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0; + } + + switch (hparams.n_layer) { + case 16: type = LLM_TYPE_1B; break; + case 32: + if (hparams.n_embd == 2048) { + type = LLM_TYPE_2B; + } else if (hparams.n_embd == 4096) { + type = LLM_TYPE_8B; + } + break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_plamo2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + // mamba parameters + const uint32_t d_conv = hparams.ssm_d_conv; + const uint32_t d_state = hparams.ssm_d_state; + const uint32_t num_heads = hparams.ssm_dt_rank; + const uint32_t intermediate_size = hparams.ssm_d_inner; + const int64_t dt_dim = std::max(64, int(hparams.n_embd / 16)); + + // attention parameters + const uint32_t qk_dim = hparams.n_embd_head_k(); + const uint32_t v_dim = hparams.n_embd_head_v(); + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + bool is_mamba_layer = hparams.is_recurrent(i); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + if (is_mamba_layer) { + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2 * intermediate_size}, 0); + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, intermediate_size}, 0); + + layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {intermediate_size, dt_dim + 2*d_state}, 0); + layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_dim, num_heads}, 0); + layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {num_heads}, 0); + + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {num_heads}, 0); + layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {num_heads}, 0); + + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {intermediate_size, n_embd}, 0); + + layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, i), {dt_dim}, 0); + layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, i), {d_state}, 0); + layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, i), {d_state}, 0); + } else { + const int64_t num_attention_heads = hparams.n_head(i); + const int64_t q_num_heads = num_attention_heads; + const int64_t num_key_value_heads = hparams.n_head_kv(i); + const int64_t k_num_heads = num_key_value_heads; + const int64_t v_num_heads = num_key_value_heads; + const int64_t q_proj_dim = q_num_heads * qk_dim; + const int64_t k_proj_dim = k_num_heads * qk_dim; + const int64_t v_proj_dim = v_num_heads * v_dim; + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, q_proj_dim + k_proj_dim + v_proj_dim}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {qk_dim, num_attention_heads}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {qk_dim, k_num_heads}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {q_num_heads * v_dim, n_embd}, 0); + } + + // All layers have post-attention norm, FFN norm, and FFN tensors + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0); + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff * 2}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0); + } +} + +std::unique_ptr llama_model_plamo2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_plamo2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { ggml_tensor * cur; ggml_tensor * inpL; @@ -95,7 +196,7 @@ llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_pa ggml_build_forward_expand(gf, cur); } -ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv * inp, +ggml_tensor * llama_model_plamo2::graph::build_plamo2_attn_layer(llm_graph_input_attn_kv * inp, ggml_tensor * inp_pos, ggml_tensor * cur, const llama_model & model, @@ -150,7 +251,7 @@ ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv return cur; } -ggml_tensor * llm_build_plamo2::build_plamo2_mamba_layer(llm_graph_input_rs * inp, +ggml_tensor * llama_model_plamo2::graph::build_plamo2_mamba_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, diff --git a/src/models/plamo3.cpp b/src/models/plamo3.cpp index 67844c09f2..849f1579e6 100644 --- a/src/models/plamo3.cpp +++ b/src/models/plamo3.cpp @@ -1,7 +1,74 @@ #include "models.h" +void llama_model_plamo3::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + if (found_swa && hparams.n_swa > 0) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + uint32_t swa_period = 8; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); + } else { + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + } + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_2B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_plamo3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t head_dim_q = hparams.n_embd_head_k(); + const int64_t head_dim_v = hparams.n_embd_head_v(); + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + const int64_t num_attention_heads = hparams.n_head(i); + const int64_t num_key_value_heads = hparams.n_head_kv(i); + const int64_t q_proj_dim = num_attention_heads * head_dim_q; + const int64_t k_proj_dim = num_key_value_heads * head_dim_q; + const int64_t v_proj_dim = num_key_value_heads * head_dim_v; + const int64_t n_ff_cur = hparams.n_ff(i); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), + {n_embd,q_proj_dim + k_proj_dim + v_proj_dim}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {head_dim_q}, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {head_dim_q}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {num_attention_heads * head_dim_v, n_embd}, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff_cur * 2}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0); + } +} + +std::unique_ptr llama_model_plamo3::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) { + return std::make_unique> (*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_plamo3::llm_build_plamo3(const llama_model & model, const llm_graph_params & params) : +llama_model_plamo3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t head_dim_q = hparams.n_embd_head_k(); const int64_t head_dim_v = hparams.n_embd_head_v(); @@ -126,5 +193,5 @@ llm_build_plamo3::llm_build_plamo3(const llama_model & model, const llm_gr } // Explicit template instantiations -template struct llm_build_plamo3; -template struct llm_build_plamo3; +template struct llama_model_plamo3::graph; +template struct llama_model_plamo3::graph; diff --git a/src/models/plm.cpp b/src/models/plm.cpp index abce6b34d0..57f5995103 100644 --- a/src/models/plm.cpp +++ b/src/models/plm.cpp @@ -1,6 +1,50 @@ #include "models.h" -llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_plm::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_1_8B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_plm::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const int64_t n_embd_head_qk_rope = hparams.n_rot(); + const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); + const int64_t kv_lora_rank = hparams.n_lora_kv; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + // output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0); + layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0); + layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0); + layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_head * ( n_embd_head_v), n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_plm::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_plm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const float kq_scale = 1.0f/sqrtf(float(hparams.n_embd_head_k())); const uint32_t n_embd_head_qk_rope = hparams.n_rot(); diff --git a/src/models/qwen.cpp b/src/models/qwen.cpp index 44e75d8743..cdc076cdf7 100644 --- a/src/models/qwen.cpp +++ b/src/models/qwen.cpp @@ -1,6 +1,46 @@ #include "models.h" -llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 40: type = LLM_TYPE_13B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd*3}, 0); + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd*3}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff/2}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff/2, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff/2}, 0); + } +} + +std::unique_ptr llama_model_qwen::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/qwen2.cpp b/src/models/qwen2.cpp index 2892dd7508..6320458a13 100644 --- a/src/models/qwen2.cpp +++ b/src/models/qwen2.cpp @@ -1,6 +1,55 @@ #include "models.h" -llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_5B : LLM_TYPE_1B; break; + case 28: type = hparams.n_embd == 1536 ? LLM_TYPE_1_5B : LLM_TYPE_7B; break; + case 32: type = LLM_TYPE_7B; break; + case 36: type = LLM_TYPE_3B; break; + case 40: type = hparams.n_head() == 20 ? LLM_TYPE_4B : LLM_TYPE_13B; break; + case 48: type = LLM_TYPE_14B; break; + case 64: type = LLM_TYPE_32B; break; + case 80: type = LLM_TYPE_70B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_qwen2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/qwen2moe.cpp b/src/models/qwen2moe.cpp index 5f0a6861b6..7587c802c6 100644 --- a/src/models/qwen2moe.cpp +++ b/src/models/qwen2moe.cpp @@ -1,6 +1,67 @@ #include "models.h" -llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen2moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_A2_7B; break; + case 28: type = LLM_TYPE_57B_A14B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen2moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0 for QWEN2MOE"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0 for QWEN2MOE"); + } + + // MoE branch + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + + // Shared expert branch + const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff; + + layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), {n_embd}, 0); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp}, 0); + } +} + +std::unique_ptr llama_model_qwen2moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen2moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/qwen2vl.cpp b/src/models/qwen2vl.cpp index da7937c766..1a40fa89be 100644 --- a/src/models/qwen2vl.cpp +++ b/src/models/qwen2vl.cpp @@ -1,6 +1,45 @@ #include "models.h" -llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen2vl::load_arch_hparams(llama_model_loader & ml) { + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); +} +// fall through + +void llama_model_qwen2vl::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_qwen2vl::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen2vl::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/qwen3.cpp b/src/models/qwen3.cpp index 883dd5f9a9..fa656c84ea 100644 --- a/src/models/qwen3.cpp +++ b/src/models/qwen3.cpp @@ -1,6 +1,55 @@ #include "models.h" -llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen3::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 28: type = hparams.n_embd == 1024 ? LLM_TYPE_0_6B : LLM_TYPE_1_7B; break; + case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break; + case 40: type = LLM_TYPE_14B; break; + case 64: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + // output rerank head + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_qwen3::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/qwen35.cpp b/src/models/qwen35.cpp index 87790f08e4..f276be61ba 100644 --- a/src/models/qwen35.cpp +++ b/src/models/qwen35.cpp @@ -1,8 +1,96 @@ #include "models.h" - #include "llama-memory-recurrent.h" -llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_params & params) : +void llama_model_qwen35::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); + + // Load linear attention (gated delta net) parameters + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + // Mark recurrent layers (linear attention layers) + { + uint32_t full_attn_interval = 4; + ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false); + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0); + } + } + + switch (hparams.n_layer) { + case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_8B : LLM_TYPE_2B; break; + case 32: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_9B; break; + case 64: type = LLM_TYPE_27B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen35::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); + } + + // Calculate dimensions from hyperparameters + const int64_t head_k_dim = hparams.ssm_d_state; + const int64_t head_v_dim = hparams.ssm_d_state; + const int64_t n_k_heads = hparams.ssm_n_group; + const int64_t n_v_heads = hparams.ssm_dt_rank; + const int64_t key_dim = head_k_dim * n_k_heads; + const int64_t value_dim = head_v_dim * n_v_heads; + const int64_t conv_dim = key_dim * 2 + value_dim; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); + + if (!hparams.is_recurrent(i)) { + // Attention layers + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); + + // Q/K normalization for attention layers + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); + } else { + // Linear attention (gated delta net) specific tensors + // Create tensors with calculated dimensions + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED); + layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED); + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), { hparams.ssm_d_conv, conv_dim }, 0); + layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), { hparams.ssm_dt_rank }, 0); + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), { hparams.ssm_dt_rank }, 0); + layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), { n_embd, n_v_heads }, 0); + layer.ssm_alpha = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "weight", i), { n_embd, n_v_heads }, 0); + layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), { head_v_dim }, 0); + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), { value_dim, n_embd }, 0); + } + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_qwen35::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen35::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_delta_net_base(params), model(model) { const int64_t n_embd_head = hparams.n_embd_head_v(); @@ -87,7 +175,7 @@ llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_pa ggml_build_forward_expand(gf, cur); } -std::pair llm_build_qwen35::build_qkvz( +std::pair llama_model_qwen35::graph::build_qkvz( ggml_tensor * input, int il) { const int64_t n_seqs = ubatch.n_seqs; @@ -103,7 +191,7 @@ std::pair llm_build_qwen35::build_qkvz( return { qkv_mixed, z }; } -ggml_tensor * llm_build_qwen35::build_norm_gated( +ggml_tensor * llama_model_qwen35::graph::build_norm_gated( ggml_tensor * input, ggml_tensor * weights, ggml_tensor * gate, @@ -114,7 +202,7 @@ ggml_tensor * llm_build_qwen35::build_norm_gated( return ggml_mul(ctx0, normalized, gated_silu); } -ggml_tensor * llm_build_qwen35::build_layer_attn( +ggml_tensor * llama_model_qwen35::graph::build_layer_attn( llm_graph_input_attn_kv * inp, ggml_tensor * cur, ggml_tensor * inp_pos, @@ -195,7 +283,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn( return cur; } -ggml_tensor * llm_build_qwen35::build_layer_attn_linear( +ggml_tensor * llama_model_qwen35::graph::build_layer_attn_linear( llm_graph_input_rs * inp, ggml_tensor * cur, int il) { @@ -369,7 +457,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear( return cur; } -ggml_tensor * llm_build_qwen35::build_layer_ffn(ggml_tensor * cur, const int il) { +ggml_tensor * llama_model_qwen35::graph::build_layer_ffn(ggml_tensor * cur, const int il) { // Qwen3.5 does not use MoE FFN GGML_ASSERT(model.layers[il].ffn_gate_inp == nullptr); diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp index 7dc6a23c75..cf05dc9d61 100644 --- a/src/models/qwen35moe.cpp +++ b/src/models/qwen35moe.cpp @@ -1,8 +1,109 @@ #include "models.h" - #include "llama-memory-recurrent.h" -llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_graph_params & params) : +void llama_model_qwen35moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); + + // Load linear attention (gated delta net) parameters + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + // Mark recurrent layers (linear attention layers) + { + uint32_t full_attn_interval = 4; + ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false); + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0); + } + } + + switch (hparams.n_layer) { + case 40: type = LLM_TYPE_35B_A3B; break; + case 48: type = LLM_TYPE_122B_A10B; break; + case 60: type = LLM_TYPE_397B_A17B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen35moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); + } + + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + // Calculate dimensions from hyperparameters + const int64_t head_k_dim = hparams.ssm_d_state; + const int64_t head_v_dim = hparams.ssm_d_state; + const int64_t n_k_heads = hparams.ssm_n_group; + const int64_t n_v_heads = hparams.ssm_dt_rank; + const int64_t key_dim = head_k_dim * n_k_heads; + const int64_t value_dim = head_v_dim * n_v_heads; + const int64_t conv_dim = key_dim * 2 + value_dim; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); + + if (!hparams.is_recurrent(i)) { + // Attention layers + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); + + // Q/K normalization for attention layers + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); + } else { + // Linear attention (gated delta net) specific tensors + // Create tensors with calculated dimensions + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED); + layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED); + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), { hparams.ssm_d_conv, conv_dim }, 0); + layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), { hparams.ssm_dt_rank }, 0); + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), { hparams.ssm_dt_rank }, 0); + layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), { n_embd, n_v_heads }, 0); + layer.ssm_alpha = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "weight", i), { n_embd, n_v_heads }, 0); + layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), { head_v_dim }, 0); + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), { value_dim, n_embd }, 0); + } + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0); + create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); + + // Shared experts + const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff; + + layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, 0); + } +} + +std::unique_ptr llama_model_qwen35moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen35moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_delta_net_base(params), model(model) { const int64_t n_embd_head = hparams.n_embd_head_v(); @@ -87,7 +188,7 @@ llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_gr ggml_build_forward_expand(gf, cur); } -std::pair llm_build_qwen35moe::build_qkvz( +std::pair llama_model_qwen35moe::graph::build_qkvz( ggml_tensor * input, int il) { const int64_t n_seqs = ubatch.n_seqs; @@ -103,7 +204,7 @@ std::pair llm_build_qwen35moe::build_qkvz( return { qkv_mixed, z }; } -ggml_tensor * llm_build_qwen35moe::build_norm_gated( +ggml_tensor * llama_model_qwen35moe::graph::build_norm_gated( ggml_tensor * input, ggml_tensor * weights, ggml_tensor * gate, @@ -114,7 +215,7 @@ ggml_tensor * llm_build_qwen35moe::build_norm_gated( return ggml_mul(ctx0, normalized, gated_silu); } -ggml_tensor * llm_build_qwen35moe ::build_layer_attn( +ggml_tensor * llama_model_qwen35moe::graph::build_layer_attn( llm_graph_input_attn_kv * inp, ggml_tensor * cur, ggml_tensor * inp_pos, @@ -195,7 +296,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn( return cur; } -ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear( +ggml_tensor * llama_model_qwen35moe::graph::build_layer_attn_linear( llm_graph_input_rs * inp, ggml_tensor * cur, int il) { @@ -369,7 +470,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear( return cur; } -ggml_tensor * llm_build_qwen35moe ::build_layer_ffn(ggml_tensor * cur, const int il) { +ggml_tensor * llama_model_qwen35moe::graph::build_layer_ffn(ggml_tensor * cur, const int il) { // Check if this is an MoE layer GGML_ASSERT(model.layers[il].ffn_gate_inp != nullptr); diff --git a/src/models/qwen3moe.cpp b/src/models/qwen3moe.cpp index 16bedba994..4440b83aa4 100644 --- a/src/models/qwen3moe.cpp +++ b/src/models/qwen3moe.cpp @@ -1,6 +1,65 @@ #include "models.h" -llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen3moe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 48: type = LLM_TYPE_30B_A3B; break; + case 94: type = LLM_TYPE_235B_A22B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen3moe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0 for QWEN3MOE"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE"); + } + + // MoE branch + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + } +} + +std::unique_ptr llama_model_qwen3moe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen3moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/qwen3next.cpp b/src/models/qwen3next.cpp index 1beda70b7c..cb1b4814ca 100644 --- a/src/models/qwen3next.cpp +++ b/src/models/qwen3next.cpp @@ -1,8 +1,113 @@ #include "models.h" - #include "llama-memory-recurrent.h" -llm_build_qwen3next::llm_build_qwen3next(const llama_model & model, const llm_graph_params & params) : +void llama_model_qwen3next::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + // Load linear attention (gated delta net) parameters + ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); + ml.get_key(LLM_KV_SSM_INNER_SIZE, hparams.ssm_d_inner); + ml.get_key(LLM_KV_SSM_STATE_SIZE, hparams.ssm_d_state); + ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank); + ml.get_key(LLM_KV_SSM_GROUP_COUNT, hparams.ssm_n_group); + + // Mark recurrent layers (linear attention layers) + { + uint32_t full_attn_interval = 4; + ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false); + for (uint32_t i = 0; i < hparams.n_layer; ++i) { + hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0); + } + } + + switch (hparams.n_layer) { + case 48: type = LLM_TYPE_80B_A3B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen3next::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + if (n_expert == 0) { + throw std::runtime_error(arch_name() + " model cannot have zero experts"); + } + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED); + } + + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + // Calculate dimensions from hyperparameters + const int64_t head_k_dim = hparams.ssm_d_state; + const int64_t head_v_dim = hparams.ssm_d_state; + const int64_t n_k_heads = hparams.ssm_n_group; + const int64_t n_v_heads = hparams.ssm_dt_rank; + const int64_t key_dim = head_k_dim * n_k_heads; + const int64_t value_dim = head_v_dim * n_v_heads; + const int64_t conv_dim = key_dim * 2 + value_dim; + + // Calculate projection sizes + const int64_t qkvz_dim = key_dim * 2 + value_dim * 2; + const int64_t ba_dim = n_v_heads * 2; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); + + if (!hparams.is_recurrent(i)) { + // Attention layers + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); + + // Q/K normalization for attention layers + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0); + } else { + // Linear attention (gated delta net) specific tensors + // Create tensors with calculated dimensions + // note: ssm_in is used by legacy GGUF + layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), { n_embd, qkvz_dim }, TENSOR_NOT_REQUIRED); + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED); + layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED); + layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), { hparams.ssm_d_conv, conv_dim }, 0); + layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), { hparams.ssm_dt_rank }, 0); + layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), { hparams.ssm_dt_rank }, 0); + layer.ssm_beta_alpha = create_tensor(tn(LLM_TENSOR_SSM_BETA_ALPHA, "weight", i), { n_embd, ba_dim }, 0); + layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), { head_v_dim }, 0); + layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), { value_dim, n_embd }, 0); + } + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0); + create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0); + + // Shared experts + layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, 0); + } +} + +std::unique_ptr llama_model_qwen3next::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen3next::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_delta_net_base(params), model(model) { ggml_tensor * cur; ggml_tensor * inpL; @@ -87,7 +192,7 @@ static ggml_tensor * get_slice_2d(ggml_context * ctx0, ggml_tensor * t, int64_t t->nb[1], t->nb[2], t->nb[3], t->nb[2] * c); } -ggml_tensor * llm_build_qwen3next::build_norm_gated( +ggml_tensor * llama_model_qwen3next::graph::build_norm_gated( ggml_tensor * input, ggml_tensor * weights, ggml_tensor * gate, @@ -98,7 +203,7 @@ ggml_tensor * llm_build_qwen3next::build_norm_gated( return ggml_mul(ctx0, normalized, gated_silu); } -ggml_tensor * llm_build_qwen3next::build_layer_attn( +ggml_tensor * llama_model_qwen3next::graph::build_layer_attn( llm_graph_input_attn_kv * inp, ggml_tensor * cur, ggml_tensor * inp_pos, @@ -178,7 +283,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn( return cur; } -std::pair llm_build_qwen3next::build_qkvz( +std::pair llama_model_qwen3next::graph::build_qkvz( ggml_tensor * input, int il) { const int64_t d_inner = hparams.ssm_d_inner; @@ -259,7 +364,7 @@ std::pair llm_build_qwen3next::build_qkvz( } } -ggml_tensor * llm_build_qwen3next::build_layer_attn_linear( +ggml_tensor * llama_model_qwen3next::graph::build_layer_attn_linear( llm_graph_input_rs * inp, ggml_tensor * cur, int il) { @@ -468,7 +573,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear( return cur; } -ggml_tensor * llm_build_qwen3next::build_layer_ffn(ggml_tensor * cur, const int il) { +ggml_tensor * llama_model_qwen3next::graph::build_layer_ffn(ggml_tensor * cur, const int il) { // Check if this is an MoE layer if (model.layers[il].ffn_gate_inp != nullptr) { // MoE branch diff --git a/src/models/qwen3vl.cpp b/src/models/qwen3vl.cpp index faa5f2ef3c..7871f8f795 100644 --- a/src/models/qwen3vl.cpp +++ b/src/models/qwen3vl.cpp @@ -1,6 +1,56 @@ #include "models.h" -llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen3vl::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false); + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 28: type = LLM_TYPE_1_7B; break; + case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break; + case 64: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen3vl::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + // output rerank head + cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_qwen3vl::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen3vl::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const size_t n_deepstack_layers = hparams.n_deepstack_layers; const int64_t n_embd = hparams.n_embd; diff --git a/src/models/qwen3vl-moe.cpp b/src/models/qwen3vlmoe.cpp similarity index 57% rename from src/models/qwen3vl-moe.cpp rename to src/models/qwen3vlmoe.cpp index 29ee8278a4..b99143c890 100644 --- a/src/models/qwen3vl-moe.cpp +++ b/src/models/qwen3vlmoe.cpp @@ -1,6 +1,66 @@ #include "models.h" -llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_qwen3vlmoe::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false); + ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true); + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 48: type = LLM_TYPE_30B_A3B; break; + case 94: type = LLM_TYPE_235B_A22B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_qwen3vlmoe::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0 for QWEN3MOE"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE"); + } + + // MoE branch + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + } +} + +std::unique_ptr llama_model_qwen3vlmoe::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_qwen3vlmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const size_t n_deepstack_layers = hparams.n_deepstack_layers; const int64_t n_embd = hparams.n_embd; @@ -127,4 +187,3 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_ ggml_build_forward_expand(gf, cur); } - diff --git a/src/models/refact.cpp b/src/models/refact.cpp index 398eb368db..f14f10917f 100644 --- a/src/models/refact.cpp +++ b/src/models/refact.cpp @@ -1,6 +1,81 @@ #include "models.h" -llm_build_refact::llm_build_refact(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_refact::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_1B; break; + default: type = LLM_TYPE_UNKNOWN; + } + + // TODO: become GGUF KV parameter + hparams.f_max_alibi_bias = 8.0f; +} + +void llama_model_refact::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + if (n_expert == 0) { + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional MLP bias + layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); + } else { + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); + + // For Granite MoE Shared + if (hparams.n_ff_shexp > 0) { + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + } + } + } +} + +std::unique_ptr llama_model_refact::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_refact::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/rnd1.cpp b/src/models/rnd1.cpp index a917c19f25..325ee73ba5 100644 --- a/src/models/rnd1.cpp +++ b/src/models/rnd1.cpp @@ -1,7 +1,67 @@ #include "models.h" +void llama_model_rnd1::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 48: type = LLM_TYPE_30B_A3B; break; + default: type = LLM_TYPE_UNKNOWN; + } + // Set non-causal attention for diffusion models + hparams.causal_attn = false; +} + +void llama_model_rnd1::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); + + if (n_expert == 0) { + throw std::runtime_error("n_expert must be > 0 for QWEN3MOE"); + } + if (n_expert_used == 0) { + throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE"); + } + + // MoE branch + const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used; + + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + } +} + +std::unique_ptr llama_model_rnd1::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + // RND1 is a Qwen3Moe AR model converted to diffusion model. -llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_rnd1::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/rwkv6.cpp b/src/models/rwkv6.cpp index 032b219d6c..2944711ace 100644 --- a/src/models/rwkv6.cpp +++ b/src/models/rwkv6.cpp @@ -1,6 +1,97 @@ #include "models.h" -llm_build_rwkv6::llm_build_rwkv6(const llama_model & model, const llm_graph_params & params) : +void llama_model_rwkv6::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false); + ml.get_key(LLM_KV_WKV_HEAD_SIZE, hparams.wkv_head_size); + ml.get_key(LLM_KV_TIME_MIX_EXTRA_DIM, hparams.time_mix_extra_dim); + ml.get_key(LLM_KV_TIME_DECAY_EXTRA_DIM, hparams.time_decay_extra_dim); + ml.get_key(LLM_KV_RESCALE_EVERY_N_LAYERS, hparams.rescale_every_n_layers, false); + ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT, hparams.token_shift_count, false); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1_6B; break; + case 32: + switch (hparams.n_embd) { + case 2560: type = LLM_TYPE_3B; break; + case 4096: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 61: type = LLM_TYPE_14B; break; + case 64: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_rwkv6::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // Block 0, LN0 + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + const int time_mix_extra_dim = hparams.time_mix_extra_dim; + const int time_decay_extra_dim = hparams.time_decay_extra_dim; + const int head_size = hparams.wkv_head_size; + const int attn_hidden_size = n_embd; + const int ffn_size = hparams.n_ff_arr[0]; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0); + layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, 0); + + layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0); + layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0); + + layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0); + layer.time_mix_lerp_w = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_W, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); + layer.time_mix_lerp_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); + layer.time_mix_lerp_v = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_V, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); + layer.time_mix_lerp_r = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); + layer.time_mix_lerp_g = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_G, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED); + layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, TENSOR_NOT_REQUIRED); + GGML_ASSERT(!(layer.time_mix_lerp_fused == NULL && layer.time_mix_lerp_w == NULL)); + + layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, 0); + layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0); + layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0); + layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0); + layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0); + + layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0); + layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0); + layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); + + layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0); + layer.channel_mix_lerp_r = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, 0); + + layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0); + layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0); + layer.channel_mix_receptance = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, "weight", i), {n_embd, n_embd}, 0); + } + +} + +std::unique_ptr llama_model_rwkv6::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_rwkv6::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv6_base(model, params) { GGML_ASSERT(hparams.token_shift_count == 2); diff --git a/src/models/rwkv6qwen2.cpp b/src/models/rwkv6qwen2.cpp index e84e597382..6f7d1f5722 100644 --- a/src/models/rwkv6qwen2.cpp +++ b/src/models/rwkv6qwen2.cpp @@ -1,6 +1,87 @@ #include "models.h" -llm_build_rwkv6qwen2::llm_build_rwkv6qwen2(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv6_base(model, params) { +void llama_model_rwkv6qwen2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false); + ml.get_key(LLM_KV_WKV_HEAD_SIZE, hparams.wkv_head_size); + ml.get_key(LLM_KV_TIME_MIX_EXTRA_DIM, hparams.time_mix_extra_dim); + ml.get_key(LLM_KV_TIME_DECAY_EXTRA_DIM, hparams.time_decay_extra_dim); + ml.get_key(LLM_KV_RESCALE_EVERY_N_LAYERS, hparams.rescale_every_n_layers, false); + ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT, hparams.token_shift_count, false); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1_6B; break; + case 32: + switch (hparams.n_embd) { + case 2560: type = LLM_TYPE_3B; break; + case 4096: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 61: type = LLM_TYPE_14B; break; + case 64: type = LLM_TYPE_32B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_rwkv6qwen2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, TENSOR_NOT_REQUIRED); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + const int time_mix_extra_dim = hparams.time_mix_extra_dim; + const int time_decay_extra_dim = hparams.time_decay_extra_dim; + const int head_size = hparams.wkv_head_size; + const int attn_hidden_size = n_embd; + int attn_key_value_size; + if (n_head_kv == 0 || attn_hidden_size / head_size == n_head_kv) { + attn_key_value_size = attn_hidden_size; + } else { + attn_key_value_size = n_head_kv * head_size; + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0); + layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0); + + layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0); + layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0); + + layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, TENSOR_NOT_REQUIRED); + layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0); + layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0); + layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0); + layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {n_embd, attn_key_value_size}, 0); + layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {n_embd, attn_key_value_size}, 0); + layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0); + // optional bias tensors + layer.time_mix_key_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED); + layer.time_mix_value_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED); + layer.time_mix_receptance_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "bias", i), {attn_hidden_size}, TENSOR_NOT_REQUIRED); + + layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_rwkv6qwen2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_rwkv6qwen2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv6_base(model, params) { GGML_ASSERT(n_embd == hparams.n_embd_r()); ggml_tensor * cur; diff --git a/src/models/rwkv7.cpp b/src/models/rwkv7.cpp index 16ffa6901b..b205e3935e 100644 --- a/src/models/rwkv7.cpp +++ b/src/models/rwkv7.cpp @@ -1,6 +1,127 @@ #include "models.h" -llm_build_rwkv7::llm_build_rwkv7(const llama_model & model, const llm_graph_params & params) : +void llama_model_rwkv7::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false); + ml.get_key(LLM_KV_WKV_HEAD_SIZE, hparams.wkv_head_size); + ml.get_key(LLM_KV_ATTENTION_DECAY_LORA_RANK, hparams.n_lora_decay); + ml.get_key(LLM_KV_ATTENTION_ICLR_LORA_RANK, hparams.n_lora_iclr); + ml.get_key(LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, hparams.n_lora_value_res_mix); + ml.get_key(LLM_KV_ATTENTION_GATE_LORA_RANK, hparams.n_lora_gate, false); + ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT, hparams.token_shift_count, false); + + switch (hparams.n_layer) { + case 12: + switch (hparams.n_embd) { + case 768: type = LLM_TYPE_190M; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 24: + switch (hparams.n_embd) { + case 1024: type = LLM_TYPE_450M; break; + case 2048: type = LLM_TYPE_1_5B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 28: + switch (hparams.n_embd) { + case 1536: type = LLM_TYPE_1_5B; break; + case 3584: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 32: + switch (hparams.n_embd) { + case 2560: type = LLM_TYPE_2_9B; break; + case 4096: type = LLM_TYPE_7B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + case 61: + switch (hparams.n_embd) { + case 4096: type = LLM_TYPE_14B; break; + default: type = LLM_TYPE_UNKNOWN; + } break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_rwkv7::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // Block 0, LN0 + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {n_embd}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + const int n_lora_decay = hparams.n_lora_decay; + const int n_lora_iclr = hparams.n_lora_iclr; + const int n_lora_value_res_mix = hparams.n_lora_value_res_mix; + const int n_lora_gate = hparams.n_lora_gate; + const int attn_hidden_size = n_embd; + const int ffn_size = hparams.n_ff_arr[0]; + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.attn_norm_2 = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0); + layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, 0); + + layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0); + layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0); + layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0); + + layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0); + layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0); + layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0); + + if (i == 0) { + // actually not used + layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); + layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0); + layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0); + } else { + layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0); + layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0); + layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0); + } + + layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, 0); + layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, 0); + + layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0); + + layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0); + layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0); + layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0); + + layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0); + layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0); + + layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0); + layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0); + layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0); + + layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0); + + layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0); + layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0); + } + +} + +std::unique_ptr llama_model_rwkv7::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_rwkv7::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv7_base(model, params) { GGML_ASSERT(hparams.token_shift_count == 2); diff --git a/src/models/seed-oss.cpp b/src/models/seed-oss.cpp index 6db8d9781f..83e114740b 100644 --- a/src/models/seed-oss.cpp +++ b/src/models/seed-oss.cpp @@ -1,6 +1,51 @@ #include "models.h" -llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_seed_oss::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 64: type = LLM_TYPE_36B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_seed_oss::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const uint32_t head_dim = hparams.n_embd_head_k(); + const int64_t n_qo_dim = n_head * head_dim; + const int64_t n_kv_dim = n_head_kv * head_dim; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, 0); + + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + } +} + +std::unique_ptr llama_model_seed_oss::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_seed_oss::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/smallthinker.cpp b/src/models/smallthinker.cpp index 55d09ec325..3214e7cbad 100644 --- a/src/models/smallthinker.cpp +++ b/src/models/smallthinker.cpp @@ -1,7 +1,80 @@ #include "models.h" +void llama_model_smallthinker::load_arch_hparams(llama_model_loader & ml) { + const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); + + if (found_swa && hparams.n_swa > 0) { + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + hparams.n_swa = 4096; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period, true); + + hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; + hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + } else { + hparams.swa_type = LLAMA_SWA_TYPE_NONE; + hparams.n_no_rope_layer_step = hparams.n_layer; + } + + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_4B; break; + case 52: type = LLM_TYPE_20B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_smallthinker::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0); + + GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for SMALLTHINKER"); + GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for SMALLTHINKER"); + + // MoE branch + const int64_t n_ff_exp = hparams.n_ff_exp; + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0); + } +} + +std::unique_ptr llama_model_smallthinker::build_arch_graph(const llm_graph_params & params) const { + if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) { + return std::make_unique> (*this, params); + } else { + return std::make_unique>(*this, params); + } +} + template -llm_build_smallthinker::llm_build_smallthinker(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params){ +llama_model_smallthinker::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params){ const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); @@ -113,5 +186,5 @@ llm_build_smallthinker::llm_build_smallthinker(const llama_model & model, } // Explicit template instantiations -template struct llm_build_smallthinker; -template struct llm_build_smallthinker; +template struct llama_model_smallthinker::graph; +template struct llama_model_smallthinker::graph; diff --git a/src/models/smollm3.cpp b/src/models/smollm3.cpp index 83636dbf54..7adaf34c53 100644 --- a/src/models/smollm3.cpp +++ b/src/models/smollm3.cpp @@ -1,6 +1,49 @@ #include "models.h" -llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_smollm3::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + hparams.n_no_rope_layer_step = 4; + + switch (hparams.n_layer) { + case 36: type = LLM_TYPE_3B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_smollm3::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_smollm3::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_smollm3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/stablelm.cpp b/src/models/stablelm.cpp index 9c19abd883..8f613e5594 100644 --- a/src/models/stablelm.cpp +++ b/src/models/stablelm.cpp @@ -1,6 +1,54 @@ #include "models.h" -llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_stablelm::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1B; break; + case 32: type = LLM_TYPE_3B; break; + case 40: type = LLM_TYPE_12B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_stablelm::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + // optional q and k layernorms, present in StableLM 2 12B + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, TENSOR_NOT_REQUIRED); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED); + + // optional FFN norm, not present in StableLM 2 12B which uses parallel residual + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_stablelm::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_stablelm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/starcoder.cpp b/src/models/starcoder.cpp index cf9fe95c35..58cf0ac0ed 100644 --- a/src/models/starcoder.cpp +++ b/src/models/starcoder.cpp @@ -1,6 +1,62 @@ #include "models.h" -llm_build_starcoder::llm_build_starcoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_starcoder::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + switch (hparams.n_layer) { + case 24: type = LLM_TYPE_1B; break; + case 36: type = LLM_TYPE_3B; break; + case 42: type = LLM_TYPE_7B; break; + case 40: type = LLM_TYPE_15B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_starcoder::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD, "weight"), {n_embd, n_ctx_train}, 0); + + // output + { + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + if (!output) { + // needs to be on GPU + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0); + layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0); + + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, 0); + } +} + +std::unique_ptr llama_model_starcoder::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_starcoder::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/starcoder2.cpp b/src/models/starcoder2.cpp index b6d4d5aac1..45dae0602d 100644 --- a/src/models/starcoder2.cpp +++ b/src/models/starcoder2.cpp @@ -1,6 +1,61 @@ #include "models.h" -llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_starcoder2::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + switch (hparams.n_layer) { + case 30: type = LLM_TYPE_3B; break; + case 32: type = LLM_TYPE_7B; break; + case 40: type = LLM_TYPE_15B; break; + case 52: type = LLM_TYPE_20B; break; // granite + case 88: type = LLM_TYPE_34B; break; // granite + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_starcoder2::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + // optional bias tensors + layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0); + + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + + // optional bias tensors + layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0); + layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP , "bias", i), { n_ff}, 0); + } +} + +std::unique_ptr llama_model_starcoder2::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_starcoder2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/step35-iswa.cpp b/src/models/step35.cpp similarity index 52% rename from src/models/step35-iswa.cpp rename to src/models/step35.cpp index 86aa98909e..c4789752d2 100644 --- a/src/models/step35-iswa.cpp +++ b/src/models/step35.cpp @@ -1,6 +1,108 @@ #include "models.h" -llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_step35::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + + // full_attention layer only use half of the RoPE dimensions + hparams.n_rot_full = hparams.n_rot_full / 2; + + // MoE + SWA parameters + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); + + // Step35 uses sigmoid gating by default (if not set in GGUF) + if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; + } + + ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); + ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_EXP, hparams.swiglu_clamp_exp, hparams.n_layer, false); + ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp, hparams.n_layer, false); + + switch (hparams.n_layer) { + case 45: type = LLM_TYPE_196B_A11B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_step35::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + // STEP35 supports per-layer partial RoPE dims; rope factors are stored as a single shared tensor + // ("rope_freqs.weight") and ggml uses only the first (n_rot_l/2) entries per layer. + uint32_t n_rot_max = 0; + for (int i = 0; i < n_layer; ++i) { + n_rot_max = std::max(n_rot_max, hparams.n_rot(i)); + } + if (n_rot_max == 0) { + n_rot_max = n_rot; + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + const uint32_t n_head_l = hparams.n_head(i); + const uint32_t n_embd_k_gqa = hparams.n_embd_k_gqa(i); + const uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa(i); + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED); + layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED); + + // optional rope factors (llama3) / longrope tensors + if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) { + layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } else { + layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); + } + + create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_l, n_embd_k_gqa, n_embd_v_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v * n_head_l, n_embd}, 0); + + // head-wise attention gate (Step35 self_attn.g_proj) + layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_head_l}, TENSOR_NOT_REQUIRED); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + + // dense MLP (leading dense blocks) + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + + // MoE routed experts + selection bias (router_bias) + const int64_t n_ff_exp = hparams.n_ff_exp; + layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED); + layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED); + + // shared expert MLP + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, TENSOR_NOT_REQUIRED); + } +} + +std::unique_ptr llama_model_step35::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_step35::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/t5.cpp b/src/models/t5.cpp index 9f9dfef401..27a0711ba4 100644 --- a/src/models/t5.cpp +++ b/src/models/t5.cpp @@ -1,7 +1,125 @@ #include "models.h" +void llama_model_t5::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts); + + uint32_t dec_start_token_id; + if (ml.get_key(LLM_KV_DECODER_START_TOKEN_ID, dec_start_token_id, false)) { + hparams.dec_start_token_id = dec_start_token_id; + } + + hparams.dec_n_layer = hparams.n_layer; + ml.get_key(LLM_KV_DECODER_BLOCK_COUNT, hparams.dec_n_layer, false); + + switch (hparams.n_layer) { + case 6: type = LLM_TYPE_60M; break; // t5-small + case 8: type = LLM_TYPE_80M; break; // flan-t5-small + case 12: + switch (hparams.n_ff()) { + case 3072: type = LLM_TYPE_220M; break; // t5-base + case 2048: type = LLM_TYPE_250M; break; // flan-t5-base + default: type = LLM_TYPE_UNKNOWN; + } break; + case 24: + switch (hparams.n_ff()) { + case 4096: type = LLM_TYPE_770M; break; // t5-large + case 2816: type = LLM_TYPE_780M; break; // flan-t5-large + case 16384: type = LLM_TYPE_3B; break; // t5-3b + case 5120: type = LLM_TYPE_3B; break; // flan-t5-xl + case 65536: type = LLM_TYPE_11B; break; // t5-11b + case 10240: type = LLM_TYPE_11B; break; // flan-t5-xxl + default: type = LLM_TYPE_UNKNOWN; + } break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_t5::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm = create_tensor(tn(LLM_TENSOR_DEC_OUTPUT_NORM, "weight"), {n_embd}, 0); + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + // n_layer: number of encoder_layers + // dec_n_layer: number of decoder_layers + const int dec_n_layer = hparams.dec_n_layer; + if (dec_n_layer > n_layer) { + layers.resize(dec_n_layer); + } + + // load encoder layers + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); + + layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); + layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); + + layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } + + // load decoder layers + for (int i = 0; i < dec_n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_DEC_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_rel_b = create_tensor(tn(LLM_TENSOR_DEC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); + + layer.wq = create_tensor(tn(LLM_TENSOR_DEC_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wk = create_tensor(tn(LLM_TENSOR_DEC_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wv = create_tensor(tn(LLM_TENSOR_DEC_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_DEC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); + + layer.attn_norm_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_NORM, "weight", i), {n_embd}, 0); + // this tensor seems to be unused in HF transformers implementation + layer.attn_rel_b_cross = create_tensor( + tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + + layer.wq_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wk_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wv_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); + layer.wo_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_DEC_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_DEC_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_DEC_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_DEC_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_t5::build_arch_graph(const llm_graph_params & params) const { + switch (params.gtype) { + case LLM_GRAPH_TYPE_ENCODER: + return std::make_unique>(*this, params); + case LLM_GRAPH_TYPE_DEFAULT: + case LLM_GRAPH_TYPE_DECODER: + return std::make_unique>(*this, params); + default: + GGML_ABORT("invalid graph type"); + }; +} + template <> -llm_build_t5::llm_build_t5(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_t5::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); //const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); @@ -156,7 +274,7 @@ llm_build_t5::llm_build_t5(const llama_model & model, const llm_graph_par } template <> -llm_build_t5::llm_build_t5(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +llama_model_t5::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/src/models/t5encoder.cpp b/src/models/t5encoder.cpp index 5c1f9eb403..23c5f9b6a1 100644 --- a/src/models/t5encoder.cpp +++ b/src/models/t5encoder.cpp @@ -1,3 +1,44 @@ #include "models.h" -llm_build_t5encoder::llm_build_t5encoder(const llama_model & model, const llm_graph_params & params) : llm_build_t5(model, params) {} +void llama_model_t5encoder::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts); + type = LLM_TYPE_UNKNOWN; +} + +void llama_model_t5encoder::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + // output + output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED); + // if output is NULL, init from the input tok embed + if (output == NULL) { + output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); + } + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM, "weight", i), {n_embd}, 0); + layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); + + layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); + layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0); + layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0); + + layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED); + layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_t5encoder::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} diff --git a/src/models/wavtokenizer-dec.cpp b/src/models/wavtokenizer-dec.cpp index a7776d9cdc..a873e5d2e8 100644 --- a/src/models/wavtokenizer-dec.cpp +++ b/src/models/wavtokenizer-dec.cpp @@ -1,6 +1,121 @@ #include "models.h" -llm_build_wavtokenizer_dec::llm_build_wavtokenizer_dec(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_wavtokenizer_dec::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS, hparams.f_norm_group_eps); + ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups); +} + +void llama_model_wavtokenizer_dec::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hparams.n_embd, n_vocab}, 0); + + conv1d = create_tensor(tn(LLM_TENSOR_CONV1D, "weight", 0), {7, hparams.n_embd, hparams.posnet.n_embd}, 0); + conv1d_b = create_tensor(tn(LLM_TENSOR_CONV1D, "bias", 0), {1, hparams.posnet.n_embd}, 0); + + // posnet + { + const int64_t n_embd = hparams.posnet.n_embd; + + for (uint32_t i = 0; i < hparams.posnet.n_layer; ++i) { + auto & layer = layers[i].posnet; + + // posnet: + // + // - resnet + // - resnet + // - attn + // - resnet + // - resnet + // - norm + // + switch (i) { + case 0: + case 1: + case 3: + case 4: + { + layer.norm1 = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "weight", i), {1, n_embd}, 0); + layer.norm1_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "bias", i), {1, n_embd}, 0); + + layer.conv1 = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "weight", i), {3, n_embd, n_embd}, 0); + layer.conv1_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "bias", i), {1, n_embd}, 0); + + layer.norm2 = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "weight", i), {1, n_embd}, 0); + layer.norm2_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "bias", i), {1, n_embd}, 0); + + layer.conv2 = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "weight", i), {3, n_embd, n_embd}, 0); + layer.conv2_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "bias", i), {1, n_embd}, 0); + } break; + case 2: + { + layer.attn_norm = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0); + layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias", i), {1, n_embd}, 0); + + layer.attn_q = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q, "weight", i), {1, n_embd, n_embd}, 0); + layer.attn_q_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q, "bias", i), {1, n_embd}, 0); + + layer.attn_k = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K, "weight", i), {1, n_embd, n_embd}, 0); + layer.attn_k_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K, "bias", i), {1, n_embd}, 0); + + layer.attn_v = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V, "weight", i), {1, n_embd, n_embd}, 0); + layer.attn_v_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V, "bias", i), {1, n_embd}, 0); + + layer.attn_o = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT, "weight", i), {1, n_embd, n_embd}, 0); + layer.attn_o_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT, "bias", i), {1, n_embd}, 0); + } break; + case 5: + { + layer.norm = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0); + layer.norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias", i), {1, n_embd}, 0); + } break; + default: GGML_ABORT("unknown posnet layer"); + }; + } + } + + GGML_ASSERT(hparams.posnet.n_embd == hparams.convnext.n_embd); + + tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {hparams.posnet.n_embd}, 0); + tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias", 0), {hparams.posnet.n_embd}, 0); + + // convnext + { + const int64_t n_embd = hparams.convnext.n_embd; + + for (uint32_t i = 0; i < hparams.convnext.n_layer; ++i) { + auto & layer = layers[i].convnext; + + layer.dw = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW, "weight", i), {7, 1, n_embd}, 0); + layer.dw_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW, "bias", i), {1, n_embd}, 0); + + layer.norm = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM, "weight", i), {n_embd}, 0); + layer.norm_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM, "bias", i), {n_embd}, 0); + + layer.pw1 = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1, "weight", i), {n_embd, n_ff}, 0); + layer.pw1_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1, "bias", i), {n_ff}, 0); + + layer.pw2 = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2, "weight", i), {n_ff, n_embd}, 0); + layer.pw2_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2, "bias", i), {n_embd}, 0); + + layer.gamma = create_tensor(tn(LLM_TENSOR_CONVNEXT_GAMMA, "weight", i), {n_embd}, 0); + } + + // output + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0); + } + + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hparams.convnext.n_embd, hparams.n_embd_out()}, 0); + output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"), {hparams.n_embd_out()}, 0); +} + +std::unique_ptr llama_model_wavtokenizer_dec::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_wavtokenizer_dec::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/xverse.cpp b/src/models/xverse.cpp index 53085ec80f..e4d111e622 100644 --- a/src/models/xverse.cpp +++ b/src/models/xverse.cpp @@ -1,6 +1,43 @@ #include "models.h" -llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { +void llama_model_xverse::load_arch_hparams(llama_model_loader & ml) { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + switch (hparams.n_layer) { + case 32: type = LLM_TYPE_7B; break; + case 40: type = LLM_TYPE_13B; break; + case 80: type = LLM_TYPE_65B; break; + default: type = LLM_TYPE_UNKNOWN; + } +} + +void llama_model_xverse::load_arch_tensors(llama_model_loader &) { + LLAMA_LOAD_LOCALS; + + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); + + output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0); + output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0); + + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); + + create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0); + layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); + + layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); + layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); + layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0); + layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); + } +} + +std::unique_ptr llama_model_xverse::build_arch_graph(const llm_graph_params & params) const { + return std::make_unique(*this, params); +} + +llama_model_xverse::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v(); GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index 941c20ce19..3331194866 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -3556,6 +3556,73 @@ struct test_relu_sqr : public test_case { } }; +// SNAKE activation fusion: y = x + sin(a*x)^2 * inv_b +// CUDA backend matches the naive 5-op chain (mul, sin, sqr, mul, add) +// and dispatches a single fused kernel. +struct test_snake_fuse : public test_case { + const ggml_type type; + const std::array ne; // [T, C, D2, D3] + + std::string op_desc(ggml_tensor * t) override { + GGML_UNUSED(t); + return "SNAKE_FUSE"; + } + + bool run_whole_graph() override { return true; } + + double max_nmse_err() override { + // BF16 epsilon ~ 7.8e-3, F16 epsilon ~ 9.7e-4: relax tolerance to match + // the natural roundoff drift between the naive CPU chain and the fused + // CUDA kernel. F32 keeps the default tight bound. + switch (type) { + case GGML_TYPE_BF16: return 5e-3; + case GGML_TYPE_F16: return 5e-5; + default: return 1e-7; + } + } + + std::string vars() override { + return VARS_TO_STR2(type, ne); + } + + test_snake_fuse(ggml_type type = GGML_TYPE_F32, + std::array ne = {256, 192, 1, 1}) + : type(type), ne(ne) {} + + ggml_tensor * build_graph(ggml_context * ctx) override { + ggml_tensor * x = ggml_new_tensor_4d(ctx, type, ne[0], ne[1], ne[2], ne[3]); + ggml_set_name(x, "x"); + + ggml_tensor * a = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 1, ne[1]); + ggml_set_name(a, "a"); + + ggml_tensor * inv_b = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 1, ne[1]); + ggml_set_name(inv_b, "inv_b"); + + // exact 5-op chain that BigVGAN / Vocos frontends emit + ggml_tensor * ax = ggml_mul(ctx, x, a); + ggml_tensor * sin_ax = ggml_sin(ctx, ax); + ggml_tensor * sin_sq = ggml_sqr(ctx, sin_ax); + ggml_tensor * scaled = ggml_mul(ctx, sin_sq, inv_b); + ggml_tensor * out = ggml_add(ctx, x, scaled); + ggml_set_name(out, "out"); + + return out; + } + + void initialize_tensors(ggml_context * ctx) override { + // x in [-pi, pi] to exercise sin periodicity, params in default [-1, 1] + for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) { + const std::string name = ggml_get_name(t); + if (name == "x") { + init_tensor_uniform(t, -3.14159f, 3.14159f); + } else { + init_tensor_uniform(t); + } + } + } +}; + // GGML_OP_SSM_CONV struct test_ssm_conv : public test_case { const ggml_type type; @@ -3579,6 +3646,49 @@ struct test_ssm_conv : public test_case { } }; +// GGML_OP_SSM_CONV + GGML_OP_ADD (channel-wise bias, optional) + GGML_OP_UNARY(SILU) (fused operation) +struct test_ssm_conv_bias_silu : public test_case { + const ggml_type type; + const std::array ne_a; + const std::array ne_b; + const bool fuse_bias; + + std::string op_desc(ggml_tensor * t) override { + GGML_UNUSED(t); + return "SSM_CONV_BIAS_SILU"; + } + + bool run_whole_graph() override { return true; } + + std::string vars() override { + return VARS_TO_STR4(type, ne_a, ne_b, fuse_bias); + } + + test_ssm_conv_bias_silu(ggml_type type, std::array ne_a, std::array ne_b, + bool fuse_bias) + : type(type), ne_a(ne_a), ne_b(ne_b), fuse_bias(fuse_bias) {} + + ggml_tensor * build_graph(ggml_context * ctx) override { + ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne_a.data()); + ggml_tensor * b = ggml_new_tensor(ctx, type, 4, ne_b.data()); + ggml_set_name(a, "a"); + ggml_set_name(b, "b"); + + ggml_tensor * out = ggml_ssm_conv(ctx, a, b); + + if (fuse_bias) { + ggml_tensor * bias = ggml_new_tensor_1d(ctx, type, out->ne[0]); + ggml_set_name(bias, "bias"); + out = ggml_add(ctx, out, bias); + } + + out = ggml_silu(ctx, out); + + ggml_set_name(out, "out"); + return out; + } +}; + // GGML_OP_SSM_SCAN struct test_ssm_scan : public test_case { const ggml_type type; @@ -3720,13 +3830,37 @@ struct test_gated_delta_net : public test_case { k = ggml_new_tensor_4d(ctx, type, head_size, head_count, n_seq_tokens, n_seqs); v = ggml_new_tensor_4d(ctx, type, head_size, head_count * v_repeat, n_seq_tokens, n_seqs); } + ggml_set_name(q, "q"); + ggml_set_name(k, "k"); + ggml_set_name(v, "v"); const int64_t g_ne0 = kda ? head_size : 1; ggml_tensor * g = ggml_new_tensor_4d(ctx, type, g_ne0, head_count * v_repeat, n_seq_tokens, n_seqs); ggml_tensor * beta = ggml_new_tensor_4d(ctx, type, 1, head_count * v_repeat, n_seq_tokens, n_seqs); ggml_tensor * state = ggml_new_tensor_2d(ctx, type, head_size * v_repeat * head_size * head_count, n_seqs); + ggml_set_name(g, "g"); + ggml_set_name(beta, "beta"); + ggml_set_name(state, "state"); + // q/k are L2-normalised in qwen35/kimi-linear before delta_net + q = ggml_l2_norm(ctx, q, 1e-6f); + k = ggml_l2_norm(ctx, k, 1e-6f); ggml_tensor * out = ggml_gated_delta_net(ctx, q, k, v, g, beta, state); return out; } + + void initialize_tensors(ggml_context * ctx) override { + for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) { + if (ggml_is_view_op(t->op)) { continue; } + if (strcmp(t->name, "g") == 0) { + init_tensor_uniform(t, -20.0f, -1e-4f); + } else if (strcmp(t->name, "beta") == 0) { + init_tensor_uniform(t, 0.0f, 1.0f); + } else if (strcmp(t->name, "v") == 0) { + init_tensor_uniform(t, -0.3f, 5.0f); + } else { + init_tensor_uniform(t); + } + } + } }; // GGML_OP_GATED_LINEAR_ATTN @@ -3909,6 +4043,59 @@ struct test_mul_mat : public test_case { } }; +// GGML_HINT_SRC0_IS_HADAMARD +struct test_mul_mat_hadamard : public test_mul_mat { + test_mul_mat_hadamard(ggml_type type_a = GGML_TYPE_F32, ggml_type type_b = GGML_TYPE_F32, + int64_t m = 32, int64_t n = 32, int64_t k = 32, + std::array bs = {1, 1}, + std::array nr = {1, 1}) + : test_mul_mat(type_a, type_b, m, n, k, bs, nr) { + GGML_ASSERT(type_a == GGML_TYPE_F32); + } + + ggml_tensor * build_graph(ggml_context * ctx) override { + ggml_tensor * out = test_mul_mat::build_graph(ctx); + // Find the mul_mat op in the graph and set the hint + for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { + if (t->op == GGML_OP_MUL_MAT) { + ggml_mul_mat_set_hint(t, GGML_HINT_SRC0_IS_HADAMARD); + } + } + return out; + } + + void initialize_tensors(ggml_context * ctx) override { + for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { + if (strcmp(t->name, "a") == 0) { + const int64_t n_cols = t->ne[0]; + const int64_t n_rows = ggml_nrows(t); + std::vector data(n_cols * n_rows); + float scale = 1.0f / sqrtf((float)n_cols); + for (int64_t r = 0; r < n_rows; r++) { + float * row_data = data.data() + r * n_cols; + for (int64_t i = 0; i < n_cols; i++) { + int pop = 0; + int64_t val = r & i; + while (val) { + pop += (val & 1); + val >>= 1; + } + row_data[i] = (pop % 2 == 0) ? scale : -scale; + } + } + ggml_backend_tensor_set(t, data.data(), 0, data.size() * sizeof(float)); + } else if (t->type == GGML_TYPE_F32 || t->type == GGML_TYPE_F16) { + init_tensor_uniform(t); + } + } + } + + std::string op_desc(ggml_tensor * t) override { + GGML_UNUSED(t); + return "MUL_MAT_HADAMARD"; + } +}; + static void init_mul_mat_id_tensors(ggml_context * ctx, int n_mats) { std::random_device rd; std::default_random_engine rng(rd()); @@ -6201,11 +6388,12 @@ struct test_flash_attn_ext : public test_case { const float logit_softcap; // Gemma 2 const ggml_prec prec; - const ggml_type type_KV; + const ggml_type type_K; + const ggml_type type_V; std::array permute; std::string vars() override { - return VARS_TO_STR13(hsk, hsv, nh, nr23, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, permute); + return VARS_TO_STR14(hsk, hsv, nh, nr23, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_K, type_V, permute); } double max_nmse_err() override { @@ -6221,12 +6409,13 @@ struct test_flash_attn_ext : public test_case { test_flash_attn_ext(int64_t hsk = 128, int64_t hsv = 128, int64_t nh = 32, std::array nr23 = {1, 1}, int64_t kv = 96, int64_t nb = 8, bool mask = true, bool sinks = false, float max_bias = 0.0f, float logit_softcap = 0.0f, ggml_prec prec = GGML_PREC_F32, - ggml_type type_KV = GGML_TYPE_F16, std::array permute = {0, 1, 2, 3}) - : hsk(hsk), hsv(hsv), nh(nh), nr23(nr23), kv(kv), nb(nb), mask(mask), sinks(sinks), max_bias(max_bias), logit_softcap(logit_softcap), prec(prec), type_KV(type_KV), permute(permute) {} + ggml_type type_K = GGML_TYPE_F16, ggml_type type_V = GGML_TYPE_F16, std::array permute = {0, 1, 2, 3}) + : hsk(hsk), hsv(hsv), nh(nh), nr23(nr23), kv(kv), nb(nb), mask(mask), sinks(sinks), max_bias(max_bias), logit_softcap(logit_softcap), prec(prec), + type_K(type_K), type_V(type_V), permute(permute) {} ggml_tensor * build_graph(ggml_context * ctx) override { - const int64_t hsk_padded = GGML_PAD(hsk, ggml_blck_size(type_KV)); - const int64_t hsv_padded = GGML_PAD(hsv, ggml_blck_size(type_KV)); + const int64_t hsk_padded = GGML_PAD(hsk, ggml_blck_size(type_K)); + const int64_t hsv_padded = GGML_PAD(hsv, ggml_blck_size(type_V)); auto const &create_permuted = [&](ggml_type type, int64_t ne0, int64_t ne1, int64_t ne2, int64_t ne3, bool is_view) -> ggml_tensor * { int64_t ne[4] = {ne0, ne1, ne2, ne3}; @@ -6250,11 +6439,11 @@ struct test_flash_attn_ext : public test_case { ggml_tensor * q = create_permuted(GGML_TYPE_F32, hsk_padded, nb, nh*nr23[0], nr23[1], false); ggml_set_name(q, "q"); - ggml_tensor * k = create_permuted(type_KV, hsk_padded, kv, nh, nr23[1], true); // the K tensor is usually a view of the K cache + ggml_tensor * k = create_permuted(type_K, hsk_padded, kv, nh, nr23[1], true); // the K tensor is usually a view of the K cache ggml_set_name(k, "k"); ggml_tensor * v = nullptr; - if (hsk_padded == 576 && hsv_padded == 512) { + if (type_K == type_V && hsk_padded == 576 && hsv_padded == 512) { // TODO: this branch should become a separate test case parameter instead of hardcoding this for these head shapes // in this branch, the V cache is sub-view of the K cache. this is used by some MLA-based models @@ -6264,7 +6453,7 @@ struct test_flash_attn_ext : public test_case { // - https://github.com/ggml-org/llama.cpp/pull/18986 v = ggml_view_4d(ctx, k, hsv_padded, kv, nh, nr23[1], k->nb[1], k->nb[2], k->nb[3], 0); } else { - v = create_permuted(type_KV, hsv_padded, kv, nh, nr23[1], true); // the V tensor is usually a view of the V cache + v = create_permuted(type_V, hsv_padded, kv, nh, nr23[1], true); // the V tensor is usually a view of the V cache } ggml_set_name(v, "v"); @@ -7367,6 +7556,19 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_relu_sqr(type, { 5, 7, 11, 13 })); } + // SNAKE activation fusion: x + sin(a*x)^2 * inv_b + for (ggml_type type : { GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16 }) { + test_cases.emplace_back(new test_snake_fuse(type, { 5, 7, 1, 1})); // primes sub-block + test_cases.emplace_back(new test_snake_fuse(type, { 33, 32, 1, 1})); // boundary + test_cases.emplace_back(new test_snake_fuse(type, {1025, 13, 1, 1})); // large prime, grid-stride + test_cases.emplace_back(new test_snake_fuse(type, { 128, 16, 1, 1})); // power-of-two + test_cases.emplace_back(new test_snake_fuse(type, { 256, 192, 1, 1})); // BigVGAN-ish + // higher-rank shapes: matcher must reject fusion, fallback to naive chain + test_cases.emplace_back(new test_snake_fuse(type, { 64, 32, 2, 1})); // ne[2] > 1 + test_cases.emplace_back(new test_snake_fuse(type, { 64, 32, 1, 2})); // ne[3] > 1 + test_cases.emplace_back(new test_snake_fuse(type, { 64, 32, 2, 3})); // ne[2] > 1 and ne[3] > 1 + } + // glu ops for (ggml_type type : {GGML_TYPE_F16, GGML_TYPE_F32}) { for (int v : {0, 1}) { @@ -7977,6 +8179,27 @@ static std::vector> make_test_cases_eval() { } } + // fused ssm_conv + (optional) bias_add + silu. The bias-only graph (no silu) is intentionally + // not tested since there's no fusion for that pattern in ggml_cuda_can_fuse. + for (int64_t d_conv : {3, 4, 9}) { + for (int64_t d_inner : {1024, 1536, 2048}) { + for (bool fuse_bias : {false, true}) { + // short token path (n_t <= 32) + test_cases.emplace_back(new test_ssm_conv_bias_silu( + GGML_TYPE_F32, {d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}, fuse_bias)); + test_cases.emplace_back(new test_ssm_conv_bias_silu( + GGML_TYPE_F32, {2 * d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}, fuse_bias)); + test_cases.emplace_back(new test_ssm_conv_bias_silu( + GGML_TYPE_F32, {d_conv, d_inner, 4, 1}, {d_conv, d_inner, 1, 1}, fuse_bias)); + // long token path (n_t > 32) + test_cases.emplace_back(new test_ssm_conv_bias_silu( + GGML_TYPE_F32, {d_conv - 1 + 64, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}, fuse_bias)); + test_cases.emplace_back(new test_ssm_conv_bias_silu( + GGML_TYPE_F32, {d_conv - 1 + 64, d_inner, 4, 1}, {d_conv, d_inner, 1, 1}, fuse_bias)); + } + } + } + test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 16, 1, 1024, 1, 32, 4)); // Mamba-1 test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 16, 2, 32, 4)); // Mamba-2 test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 256, 64, 8, 2, 32, 4)); // Falcon-H1 @@ -7997,6 +8220,12 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_gla(GGML_TYPE_F32, 32, 64, 32, 4)); test_cases.emplace_back(new test_gla(GGML_TYPE_F32, 32, 64, 128, 4)); + // FWHT tests + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 1, 128)); + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 64, 1, 64)); + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 256, 1, 256)); + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 32, 128)); + #if 0 // > 4GB A matrix. Too slow to be enabled by default. test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F16, 900000, 3, 2592, {1, 1}, {1, 1})); @@ -8236,6 +8465,12 @@ static std::vector> make_test_cases_eval() { } } + // ne2 sweep to cover the cublasSgemmStridedBatched path (dps2 == 1, ne2 > 1) + for (int64_t ne2 : {1, 8, 16, 32}) { + test_cases.emplace_back(new test_out_prod(GGML_TYPE_F32, GGML_TYPE_F32, + 256, 16, 16, {ne2, 1}, {1, 1})); + } + // add_id for (ggml_type type_a : {GGML_TYPE_F32}) { for (ggml_type type_b : {GGML_TYPE_F32}) { @@ -8630,8 +8865,10 @@ static std::vector> make_test_cases_eval() { if (nh == 1 && hsk != 320 && hsk != 576) continue; for (int nr3 : { 1, 3, }) { if (hsk > 64 && nr3 > 1) continue; // skip broadcast for large head sizes - for (int nr2 : { 1, 4, 12, 20, 32 }) { + for (int nr2 : { 1, 4, 8, 12, 16, 20, 32 }) { + if (nr2 == 8 && hsk != 192) continue; if (nr2 == 12 && hsk != 128) continue; + if (nr2 == 16 && hsk != 192) continue; if (nr2 == 20 && (nh != 1 || hsk != 576)) continue; if (nr2 == 32 && (nh != 1 || hsk != 320)) continue; //for (int kv : { 1, 17, 31, 33, 61, 113, 65, 127, 129, 130, 255, 260, 371, 380, 407, 512, 1024, }) { @@ -8643,11 +8880,11 @@ static std::vector> make_test_cases_eval() { for (ggml_type type_KV : {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0, GGML_TYPE_IQ4_NL}) { if (type_KV != GGML_TYPE_F16 && hsk != 64 && hsk != 72) continue; test_cases.emplace_back(new test_flash_attn_ext( - hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV)); + hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV)); // run fewer test cases permuted if (mask == true && max_bias == 0.0f && logit_softcap == 0 && kv == 512) { test_cases.emplace_back(new test_flash_attn_ext( - hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, {0, 2, 1, 3})); + hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV, {0, 2, 1, 3})); } } } @@ -8663,6 +8900,16 @@ static std::vector> make_test_cases_eval() { } } + // mixed quant and Q1_0 test cases + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_F16)); + test_cases.emplace_back(new test_flash_attn_ext(72, 72, 4, {1, 1}, 96, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 4, {1, 1}, 96, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F32)); + test_cases.emplace_back(new test_flash_attn_ext(128, 128, 4, {1, 1}, 96, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q1_0, GGML_TYPE_Q1_0)); + test_cases.emplace_back(new test_flash_attn_ext(128, 64, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q1_0, GGML_TYPE_Q4_0)); + test_cases.emplace_back(new test_flash_attn_ext(64, 128, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q1_0)); + test_cases.emplace_back(new test_flash_attn_ext(128, 64, 4, {1, 1}, 64, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q1_0, GGML_TYPE_F16)); + test_cases.emplace_back(new test_cross_entropy_loss (GGML_TYPE_F32, { 10, 5, 4, 3})); test_cases.emplace_back(new test_cross_entropy_loss (GGML_TYPE_F32, {30000, 1, 1, 1})); test_cases.emplace_back(new test_cross_entropy_loss_back(GGML_TYPE_F32, { 10, 5, 4, 3})); @@ -8736,6 +8983,17 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 8, 32, 4, 2, 2, false, true)); test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, true, true)); test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 16, 4, 2, 1, true, true)); + // chunked path: multi-chunk and non-multiple-of-chunk-size (chunk_size=64 GDN, 16 KDA) + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 64, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 127, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 256, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 65, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 100, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 200, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 127, 2)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 64, 1, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 33, 1, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 100, 1, 1, false, true)); #if 0 // these tests are disabled to save execution time, sbut they can be handy for debugging @@ -8838,9 +9096,20 @@ static std::vector> make_test_cases_perf() { test_cases.emplace_back(new test_pad_reflect_1d(GGML_TYPE_F32, {3000, 384, 1, 1})); test_cases.emplace_back(new test_pad_reflect_1d(GGML_TYPE_F32, {3000, 384, 4, 1})); + // SNAKE activation fusion at BigVGAN scale (T=7680 = 24 kHz x 320 ms, C=192) + test_cases.emplace_back(new test_snake_fuse(GGML_TYPE_F32, {7680, 192, 1, 1})); + test_cases.emplace_back(new test_snake_fuse(GGML_TYPE_F16, {7680, 192, 1, 1})); + test_cases.emplace_back(new test_snake_fuse(GGML_TYPE_BF16, {7680, 192, 1, 1})); + test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 16416, 1, 128, {8, 1}, {4, 1}, {0, 2, 1, 3})); test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 128, 1, 16416, {8, 1}, {4, 1}, {0, 1, 2, 3}, 2*16416)); + // FWHT tests + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 1, 128)); + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 64, 1, 64)); + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 256, 1, 256)); + test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 32, 128)); + test_cases.emplace_back(new test_solve_tri(GGML_TYPE_F32, { 64, 64, 4, 4 }, { 32, 64, 4, 4 })); test_cases.emplace_back(new test_solve_tri(GGML_TYPE_F32, { 128, 128, 4, 2 }, { 32, 128, 4, 2 })); // qwen3next with CHUNK_SIZE 64 @@ -8907,15 +9176,19 @@ static std::vector> make_test_cases_perf() { } // Qwen3-VL-8B https://github.com/ggml-org/llama.cpp/issues/17012 - test_cases.emplace_back(new test_flash_attn_ext(72, 72, 16, {1, 1}, 5776, 5776, false, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16)); + test_cases.emplace_back(new test_flash_attn_ext(72, 72, 16, {1, 1}, 5776, 5776, false, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16)); - test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16)); - test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 4, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 4, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 512, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)); + test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 512, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0)); for (int kv : { 4096, 8192, 16384, }) { for (int hs : { 64, 128, }) { for (int nr : { 1, 4, }) { - test_cases.emplace_back(new test_flash_attn_ext(hs, hs, 8, {nr, 1}, kv, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16)); + test_cases.emplace_back(new test_flash_attn_ext(hs, hs, 8, {nr, 1}, kv, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16)); } } } @@ -8993,6 +9266,8 @@ static std::vector> make_test_cases_perf() { // Examples from granite-4.0-h-1b/ggml-model-Q8_0.gguf test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {515, 3328, 1, 1}, {4, 3328, 1, 1})); // prefill test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {4, 3328, 1, 1}, {4, 3328, 1, 1})); // generate + test_cases.emplace_back(new test_ssm_conv_bias_silu(GGML_TYPE_F32, {515, 3328, 1, 1}, {4, 3328, 1, 1}, true)); // prefill + test_cases.emplace_back(new test_ssm_conv_bias_silu(GGML_TYPE_F32, {4, 3328, 1, 1}, {4, 3328, 1, 1}, true)); // generate test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 48, 1, 512, 1)); // prefill test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 48, 1, 1, 1)); // generate diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index e6a5236645..ea9d87ebed 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -542,6 +542,36 @@ static common_chat_tool edit_tool{ })", }; +static common_chat_tool manage_todo_list_tool{ + /* .name = */ "manage_todo_list", + /* .description = */ "Create or update the todo list", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "todos": { + "type": "array", + "description": "List of TODO list items" + } + }, + "required": ["todos"] + })", +}; + +static common_chat_tool run_in_terminal_tool{ + /* .name = */ "run_in_terminal", + /* .description = */ "Run a shell command.", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "Shell command to run" + } + }, + "required": ["command"] + })", +}; + static common_chat_tool magic_tool{ /* .name = */ "magic", /* .description = */ "Magic tool that takes a hash", @@ -1379,6 +1409,16 @@ class peg_test_builder { return *this; } + peg_test_builder & tool_choice(common_chat_tool_choice choice) { + tc_.params.tool_choice = choice; + return *this; + } + + peg_test_builder & messages(std::vector messages) { + tc_.params.messages = std::move(messages); + return *this; + } + // Execute the test void run() { // Check template filter @@ -1755,23 +1795,23 @@ static void test_template_output_peg_parsers(bool detailed_debug) { "hello()\n" "\n" "\n" - "" - ) + "") .enable_thinking(true) .reasoning_format(COMMON_REASONING_FORMAT_AUTO) .tools({ python_tool }) - .expect_reasoning("Let's call a tool: \n" - "\n" - "\n" - "def hello():\n" - " print(\"Not the real call!\")\n" - "\n" - "hello()\n" - "\n" - "\n" - "") + .expect_reasoning( + "Let's call a tool: \n" + "\n" + "\n" + "def hello():\n" + " print(\"Not the real call!\")\n" + "\n" + "hello()\n" + "\n" + "\n" + "") .expect_tool_calls({ { "python", "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} }, }) @@ -1800,6 +1840,219 @@ static void test_template_output_peg_parsers(bool detailed_debug) { .tools({ empty_args_tool_no_properties }) .expect(message_with_tool_calls("empty_args_no_props", "{}")) .run(); + + // Edge cases when reasoning traces are not sent + tst.test( + "\n\n\n\n" + "\n" + "\n" + "\n1\n\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ + special_function_tool + }) + .expect_reasoning("\n\n") + .expect_tool_calls({ { "special_function", "{\"arg1\": 1}", "" } }) + .run(); + + tst.test( + "\n\n" + "\n" + "\n" + "\n1\n\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ + special_function_tool + }) + .expect_reasoning("") + .expect_tool_calls({ { "special_function", "{\"arg1\": 1}", "" } }) + .run(); + + tst.test( + "\n\n" + "\n" + "\n" + "\n" + "pwd\n" + "\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ + run_in_terminal_tool + }) + .expect_tool_calls({ + { "run_in_terminal", R"({"command": "pwd"})", {} }, + }) + .run(); + + tst.test( + "\n\n" + "Let me inspect the current directory.\n" + "\n" + "\n" + "\n" + "pwd\n" + "\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ + run_in_terminal_tool + }) + .expect_content("Let me inspect the current directory.\n") + .expect_tool_calls({ + { "run_in_terminal", R"({"command": "pwd"})", {} }, + }) + .run(); + + tst.test( + "\n\n" + "Let me inspect the current directory.\n" + "\n" + "\n" + "\n" + "pwd\n" + "\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ + run_in_terminal_tool + }) + .tool_choice(COMMON_CHAT_TOOL_CHOICE_REQUIRED) + .expect_content("Let me inspect the current directory.\n") + .expect_tool_calls({ + { "run_in_terminal", R"({"command": "pwd"})", {} }, + }) + .run(); + + tst.test( + "I should inspect the directory.\n" + "\n\n" + "Let me inspect it now.\n" + "\n" + "\n" + "\n" + "pwd\n" + "\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ + run_in_terminal_tool + }) + .expect_reasoning("I should inspect the directory.") + .expect_content("Let me inspect it now.\n") + .expect_tool_calls({ + { "run_in_terminal", R"({"command": "pwd"})", {} }, + }) + .run(); + + tst.test( + "I might call later, but I am still thinking.\n" + "\n\n" + "Final answer without tools.") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ run_in_terminal_tool }) + .expect_reasoning("I might call later, but I am still thinking.") + .expect_content("Final answer without tools.") + .run(); + + { + common_chat_msg user_start; + user_start.role = "user"; + user_start.content = "Create a todo list, then inspect the repository."; + + common_chat_msg assistant_todos = + simple_assist_msg("", "", "manage_todo_list", + R"({"todos":[{"item":"Inspect repository","selected":false}]})", "call_todos"); + + common_chat_msg tool_result; + tool_result.role = "tool"; + tool_result.content = "Successfully wrote todo list"; + tool_result.tool_call_id = "call_todos"; + + common_chat_msg user_continue; + user_continue.role = "user"; + user_continue.content = "Proceed."; + + tst.test( + "I need to run a terminal command.\n" + "\n\n" + "\n" + "\n" + "\n" + "pwd\n" + "\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ + manage_todo_list_tool, run_in_terminal_tool + }) + .messages({ user_start, assistant_todos, tool_result, user_continue }) + .expect_reasoning("I need to run a terminal command.") + .expect_tool_calls({ + { "run_in_terminal", R"({"command": "pwd"})", {} }, + }) + .run(); + + tst.test( + "I need to run a terminal command.\n" + "\n\n" + "Let me inspect the current directory.\n" + "\n" + "\n" + "\n" + "pwd\n" + "\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ + manage_todo_list_tool, run_in_terminal_tool + }) + .tool_choice(COMMON_CHAT_TOOL_CHOICE_REQUIRED) + .messages({ user_start, assistant_todos, tool_result, user_continue }) + .expect_reasoning("I need to run a terminal command.") + .expect_content("Let me inspect the current directory.\n") + .expect_tool_calls({ + { "run_in_terminal", R"({"command": "pwd"})", {} }, + }) + .run(); + + tst.test( + "\n\n" + "\n" + "\n" + "\n" + "pwd\n" + "\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .tools({ + manage_todo_list_tool, run_in_terminal_tool + }) + .messages({ user_start, assistant_todos, tool_result, user_continue }) + .expect_tool_calls({ + { "run_in_terminal", R"({"command": "pwd"})", {} }, + }) + .run(); + } } { diff --git a/tests/test-state-restore-fragmented.cpp b/tests/test-state-restore-fragmented.cpp index 8a9bfaf5dc..d5548afba1 100644 --- a/tests/test-state-restore-fragmented.cpp +++ b/tests/test-state-restore-fragmented.cpp @@ -29,6 +29,9 @@ int main(int argc, char ** argv) { } // init + + ggml_backend_load_all(); + common_init_result_ptr llama_init = common_init_from_params(params); llama_model * model = llama_init->model(); diff --git a/tools/cli/README.md b/tools/cli/README.md index de0b780409..9f0574d25d 100644 --- a/tools/cli/README.md +++ b/tools/cli/README.md @@ -15,7 +15,6 @@ | `--license` | show source code license and dependencies | | `-cl, --cache-list` | show list of models in cache | | `--completion-bash` | print source-able bash completion script for llama.cpp | -| `--verbose-prompt` | print a verbose prompt before generation (default: false) | | `-t, --threads N` | number of CPU threads to use during generation (default: -1)
(env: LLAMA_ARG_THREADS) | | `-tb, --threads-batch N` | number of threads to use during batch and prompt processing (default: same as --threads) | | `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range (default: "") | @@ -56,6 +55,7 @@ | `-ctv, --cache-type-v TYPE` | KV cache data type for V
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_V) | | `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)
(env: LLAMA_ARG_DEFRAG_THOLD) | | `-np, --parallel N` | number of parallel sequences to decode (default: 1)
(env: LLAMA_ARG_N_PARALLEL) | +| `--rpc SERVERS` | comma-separated list of RPC servers (host:port)
(env: LLAMA_ARG_RPC) | | `--mlock` | force system to keep model in RAM rather than swapping or compressing
(env: LLAMA_ARG_MLOCK) | | `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)
(env: LLAMA_ARG_MMAP) | | `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)
(env: LLAMA_ARG_DIO) | @@ -66,7 +66,7 @@ | `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU
(env: LLAMA_ARG_CPU_MOE) | | `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU
(env: LLAMA_ARG_N_CPU_MOE) | | `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
(env: LLAMA_ARG_N_GPU_LAYERS) | -| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:
- none: use one GPU only
- layer (default): split layers and KV across GPUs
- row: split rows across GPUs
(env: LLAMA_ARG_SPLIT_MODE) | +| `-sm, --split-mode {none,layer,row,tensor}` | how to split the model across multiple GPUs, one of:
- none: use one GPU only
- layer (default): split layers and KV across GPUs (pipelined)
- row: split weight across GPUs by rows (parallelized)
- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)
(env: LLAMA_ARG_SPLIT_MODE) | | `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1
(env: LLAMA_ARG_TENSOR_SPLIT) | | `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)
(env: LLAMA_ARG_MAIN_GPU) | | `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')
(env: LLAMA_ARG_FIT) | @@ -84,7 +84,6 @@ | `-mu, --model-url MODEL_URL` | model download url (default: unused)
(env: LLAMA_ARG_MODEL_URL) | | `-dr, --docker-repo [/][:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.
example: gemma3
(default: unused)
(env: LLAMA_ARG_DOCKER_REPO) | | `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to disable, add --no-mmproj
example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M
(default: unused)
(env: LLAMA_ARG_HF_REPO) | -| `-hfd, -hfrd, --hf-repo-draft /[:quant]` | Same as --hf-repo, but for the draft model (default: unused)
(env: LLAMA_ARG_HFD_REPO) | | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)
(env: LLAMA_ARG_HF_FILE) | | `-hfv, -hfrv, --hf-repo-v /[:quant]` | Hugging Face model repository for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_REPO_V) | | `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_FILE_V) | @@ -97,8 +96,8 @@ | `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:
- 0: generic output
- 1: error
- 2: warning
- 3: info
- 4: debug
(default: 3)

(env: LLAMA_LOG_VERBOSITY) | | `--log-prefix` | Enable prefix in log messages
(env: LLAMA_LOG_PREFIX) | | `--log-timestamps` | Enable timestamps in log messages
(env: LLAMA_LOG_TIMESTAMPS) | -| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) | -| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) | +| `--spec-draft-type-k, -ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_K) | +| `--spec-draft-type-v, -ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_V) | ### Sampling params @@ -145,6 +144,7 @@ | Argument | Explanation | | -------- | ----------- | +| `--verbose-prompt` | print a verbose prompt before generation (default: false) | | `--display-prompt, --no-display-prompt` | whether to print prompt at generation (default: true) | | `-co, --color [on\|off\|auto]` | Colorize output to distinguish prompt and user input from generations ('on', 'off', or 'auto', default: 'auto')
'auto' enables colors when output is to a terminal | | `-ctxcp, --ctx-checkpoints, --swa-checkpoints N` | max number of context checkpoints to create per slot (default: 32)[(more info)](https://github.com/ggml-org/llama.cpp/pull/15293)
(env: LLAMA_ARG_CTX_CHECKPOINTS) | @@ -167,30 +167,57 @@ | `--image, --audio FILE` | path to an image or audio file. use with multimodal models, use comma-separated values for multiple files | | `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)
(env: LLAMA_ARG_IMAGE_MIN_TOKENS) | | `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)
(env: LLAMA_ARG_IMAGE_MAX_TOKENS) | -| `-otd, --override-tensor-draft =,...` | override tensor buffer type for draft model | -| `-cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model
(env: LLAMA_ARG_CPU_MOE_DRAFT) | -| `-ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model
(env: LLAMA_ARG_N_CPU_MOE_DRAFT) | | `--chat-template-kwargs STRING` | sets additional params for the json template parser, must be a valid json object string, e.g. '{"key1":"value1","key2":"value2"}'
(env: LLAMA_CHAT_TEMPLATE_KWARGS) | | `--jinja, --no-jinja` | whether to use jinja template engine for chat (default: enabled)
(env: LLAMA_ARG_JINJA) | | `--reasoning-format FORMAT` | controls whether thought tags are allowed and/or extracted from the response, and in which format they're returned; one of:
- none: leaves thoughts unparsed in `message.content`
- deepseek: puts thoughts in `message.reasoning_content`
- deepseek-legacy: keeps `` tags in `message.content` while also populating `message.reasoning_content`
(default: auto)
(env: LLAMA_ARG_THINK) | | `-rea, --reasoning [on\|off\|auto]` | Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))
(env: LLAMA_ARG_REASONING) | | `--reasoning-budget N` | token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)
(env: LLAMA_ARG_THINK_BUDGET) | | `--reasoning-budget-message MESSAGE` | message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)
(env: LLAMA_ARG_THINK_BUDGET_MESSAGE) | -| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE) | -| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) | +| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE) | +| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) | | `--skip-chat-parsing, --no-skip-chat-parsing` | force a pure content parser, even if a Jinja template is specified; model will output everything in the content section, including any reasoning and/or tool calls (default: disabled)
(env: LLAMA_ARG_SKIP_CHAT_PARSING) | | `--simple-io` | use basic IO for better compatibility in subprocesses and limited consoles | -| `--draft, --draft-n, --draft-max N` | number of tokens to draft for speculative decoding (default: 16)
(env: LLAMA_ARG_DRAFT_MAX) | -| `--draft-min, --draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)
(env: LLAMA_ARG_DRAFT_MIN) | -| `--draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)
(env: LLAMA_ARG_DRAFT_P_MIN) | -| `-cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)
(env: LLAMA_ARG_CTX_SIZE_DRAFT) | -| `-devd, --device-draft ` | comma-separated list of devices to use for offloading the draft model (none = don't offload)
use --list-devices to see a list of available devices | -| `-ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) | -| `-md, --model-draft FNAME` | draft model for speculative decoding (default: unused)
(env: LLAMA_ARG_MODEL_DRAFT) | -| `--spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible | +| `--spec-draft-hf, -hfd, -hfrd, --hf-repo-draft /[:quant]` | Same as --hf-repo, but for the draft model (default: unused)
(env: LLAMA_ARG_SPEC_DRAFT_HF_REPO) | +| `--spec-draft-threads, -td, --threads-draft N` | number of threads to use during generation (default: same as --threads) | +| `--spec-draft-threads-batch, -tbd, --threads-batch-draft N` | number of threads to use during batch and prompt processing (default: same as --threads-draft) | +| `--spec-draft-cpu-mask, -Cd, --cpu-mask-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) | +| `--spec-draft-cpu-range, -Crd, --cpu-range-draft lo-hi` | Ranges of CPUs for affinity. Complements --cpu-mask-draft | +| `--spec-draft-cpu-strict, --cpu-strict-draft <0\|1>` | Use strict CPU placement for draft model (default: same as --cpu-strict) | +| `--spec-draft-prio, --prio-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) | +| `--spec-draft-poll, --poll-draft <0\|1>` | Use polling to wait for draft model work (default: same as --poll) | +| `--spec-draft-cpu-mask-batch, -Cbd, --cpu-mask-batch-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) | +| `--spec-draft-cpu-strict-batch, --cpu-strict-batch-draft <0\|1>` | Use strict CPU placement for draft model (default: --cpu-strict-draft) | +| `--spec-draft-prio-batch, --prio-batch-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) | +| `--spec-draft-poll-batch, --poll-batch-draft <0\|1>` | Use polling to wait for draft model work (default: --poll-draft) | +| `--spec-draft-override-tensor, -otd, --override-tensor-draft =,...` | override tensor buffer type for draft model | +| `--spec-draft-cpu-moe, -cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model
(env: LLAMA_ARG_SPEC_DRAFT_CPU_MOE) | +| `--spec-draft-n-cpu-moe, --spec-draft-ncmoe, -ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model
(env: LLAMA_ARG_SPEC_DRAFT_N_CPU_MOE) | +| `--spec-draft-n-max N` | number of tokens to draft for speculative decoding (default: 16)
(env: LLAMA_ARG_SPEC_DRAFT_N_MAX) | +| `--spec-draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)
(env: LLAMA_ARG_SPEC_DRAFT_N_MIN) | +| `--spec-draft-p-split, --draft-p-split P` | speculative decoding split probability (default: 0.10)
(env: LLAMA_ARG_SPEC_DRAFT_P_SPLIT) | +| `--spec-draft-p-min, --draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)
(env: LLAMA_ARG_SPEC_DRAFT_P_MIN) | +| `--spec-draft-device, -devd, --device-draft ` | comma-separated list of devices to use for offloading the draft model (none = don't offload)
use --list-devices to see a list of available devices | +| `--spec-draft-ngl, -ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) | +| `--spec-draft-model, -md, --model-draft FNAME` | draft model for speculative decoding (default: unused)
(env: LLAMA_ARG_SPEC_DRAFT_MODEL) | +| `--spec-type none,draft-simple,draft-eagle3,ngram-simple,ngram-map-k,ngram-map-k4v,ngram-mod,ngram-cache` | comma-separated list of types of speculative decoding to use (default: none)

(env: LLAMA_ARG_SPEC_TYPE) | +| `--spec-ngram-mod-n-min N` | minimum number of ngram tokens to use for ngram-based speculative decoding (default: 48) | +| `--spec-ngram-mod-n-max N` | maximum number of ngram tokens to use for ngram-based speculative decoding (default: 64) | +| `--spec-ngram-mod-n-match N` | ngram-mod lookup length (default: 24) | +| `--spec-ngram-simple-size-n N` | ngram size N for ngram-simple speculative decoding, length of lookup n-gram (default: 12) | +| `--spec-ngram-simple-size-m N` | ngram size M for ngram-simple speculative decoding, length of draft m-gram (default: 48) | +| `--spec-ngram-simple-min-hits N` | minimum hits for ngram-simple speculative decoding (default: 1) | +| `--spec-ngram-map-k-size-n N` | ngram size N for ngram-map-k speculative decoding, length of lookup n-gram (default: 12) | +| `--spec-ngram-map-k-size-m N` | ngram size M for ngram-map-k speculative decoding, length of draft m-gram (default: 48) | +| `--spec-ngram-map-k-min-hits N` | minimum hits for ngram-map-k speculative decoding (default: 1) | +| `--spec-ngram-map-k4v-size-n N` | ngram size N for ngram-map-k4v speculative decoding, length of lookup n-gram (default: 12) | +| `--spec-ngram-map-k4v-size-m N` | ngram size M for ngram-map-k4v speculative decoding, length of draft m-gram (default: 48) | +| `--spec-ngram-map-k4v-min-hits N` | minimum hits for ngram-map-k4v speculative decoding (default: 1) | +| `--draft, --draft-n, --draft-max N` | the argument has been removed. use --spec-draft-n-max or --spec-ngram-mod-n-max
(env: LLAMA_ARG_DRAFT_MAX) | +| `--draft-min, --draft-n-min N` | the argument has been removed. use --spec-draft-n-min or --spec-ngram-mod-n-min
(env: LLAMA_ARG_DRAFT_MIN) | | `--gpt-oss-20b-default` | use gpt-oss-20b (note: can download weights from the internet) | | `--gpt-oss-120b-default` | use gpt-oss-120b (note: can download weights from the internet) | | `--vision-gemma-4b-default` | use Gemma 3 4B QAT (note: can download weights from the internet) | | `--vision-gemma-12b-default` | use Gemma 3 12B QAT (note: can download weights from the internet) | +| `--spec-default` | enable default speculative decoding config | diff --git a/tools/completion/README.md b/tools/completion/README.md index fe1a036a38..048cf7416f 100644 --- a/tools/completion/README.md +++ b/tools/completion/README.md @@ -98,7 +98,6 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | `--license` | show source code license and dependencies | | `-cl, --cache-list` | show list of models in cache | | `--completion-bash` | print source-able bash completion script for llama.cpp | -| `--verbose-prompt` | print a verbose prompt before generation (default: false) | | `-t, --threads N` | number of CPU threads to use during generation (default: -1)
(env: LLAMA_ARG_THREADS) | | `-tb, --threads-batch N` | number of threads to use during batch and prompt processing (default: same as --threads) | | `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range (default: "") | @@ -139,6 +138,7 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | `-ctv, --cache-type-v TYPE` | KV cache data type for V
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_V) | | `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)
(env: LLAMA_ARG_DEFRAG_THOLD) | | `-np, --parallel N` | number of parallel sequences to decode (default: 1)
(env: LLAMA_ARG_N_PARALLEL) | +| `--rpc SERVERS` | comma-separated list of RPC servers (host:port)
(env: LLAMA_ARG_RPC) | | `--mlock` | force system to keep model in RAM rather than swapping or compressing
(env: LLAMA_ARG_MLOCK) | | `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)
(env: LLAMA_ARG_MMAP) | | `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)
(env: LLAMA_ARG_DIO) | @@ -149,7 +149,7 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU
(env: LLAMA_ARG_CPU_MOE) | | `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU
(env: LLAMA_ARG_N_CPU_MOE) | | `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
(env: LLAMA_ARG_N_GPU_LAYERS) | -| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:
- none: use one GPU only
- layer (default): split layers and KV across GPUs
- row: split rows across GPUs
(env: LLAMA_ARG_SPLIT_MODE) | +| `-sm, --split-mode {none,layer,row,tensor}` | how to split the model across multiple GPUs, one of:
- none: use one GPU only
- layer (default): split layers and KV across GPUs (pipelined)
- row: split weight across GPUs by rows (parallelized)
- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)
(env: LLAMA_ARG_SPLIT_MODE) | | `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1
(env: LLAMA_ARG_TENSOR_SPLIT) | | `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)
(env: LLAMA_ARG_MAIN_GPU) | | `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')
(env: LLAMA_ARG_FIT) | @@ -167,7 +167,6 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | `-mu, --model-url MODEL_URL` | model download url (default: unused)
(env: LLAMA_ARG_MODEL_URL) | | `-dr, --docker-repo [/][:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.
example: gemma3
(default: unused)
(env: LLAMA_ARG_DOCKER_REPO) | | `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to disable, add --no-mmproj
example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M
(default: unused)
(env: LLAMA_ARG_HF_REPO) | -| `-hfd, -hfrd, --hf-repo-draft /[:quant]` | Same as --hf-repo, but for the draft model (default: unused)
(env: LLAMA_ARG_HFD_REPO) | | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)
(env: LLAMA_ARG_HF_FILE) | | `-hfv, -hfrv, --hf-repo-v /[:quant]` | Hugging Face model repository for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_REPO_V) | | `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_FILE_V) | @@ -180,8 +179,8 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:
- 0: generic output
- 1: error
- 2: warning
- 3: info
- 4: debug
(default: 3)

(env: LLAMA_LOG_VERBOSITY) | | `--log-prefix` | Enable prefix in log messages
(env: LLAMA_LOG_PREFIX) | | `--log-timestamps` | Enable timestamps in log messages
(env: LLAMA_LOG_TIMESTAMPS) | -| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) | -| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) | +| `--spec-draft-type-k, -ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_K) | +| `--spec-draft-type-v, -ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_V) | ### Sampling params @@ -228,6 +227,7 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | Argument | Explanation | | -------- | ----------- | +| `--verbose-prompt` | print a verbose prompt before generation (default: false) | | `--display-prompt, --no-display-prompt` | whether to print prompt at generation (default: true) | | `-co, --color [on\|off\|auto]` | Colorize output to distinguish prompt and user input from generations ('on', 'off', or 'auto', default: 'auto')
'auto' enables colors when output is to a terminal | | `--context-shift, --no-context-shift` | whether to use context shift on infinite text generation (default: disabled)
(env: LLAMA_ARG_CONTEXT_SHIFT) | @@ -255,8 +255,8 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | `-rea, --reasoning [on\|off\|auto]` | Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))
(env: LLAMA_ARG_REASONING) | | `--reasoning-budget N` | token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)
(env: LLAMA_ARG_THINK_BUDGET) | | `--reasoning-budget-message MESSAGE` | message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)
(env: LLAMA_ARG_THINK_BUDGET_MESSAGE) | -| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE) | -| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) | +| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE) | +| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) | | `--skip-chat-parsing, --no-skip-chat-parsing` | force a pure content parser, even if a Jinja template is specified; model will output everything in the content section, including any reasoning and/or tool calls (default: disabled)
(env: LLAMA_ARG_SKIP_CHAT_PARSING) | | `--simple-io` | use basic IO for better compatibility in subprocesses and limited consoles | diff --git a/tools/mtmd/CMakeLists.txt b/tools/mtmd/CMakeLists.txt index 35d721d5a4..a76adc9b80 100644 --- a/tools/mtmd/CMakeLists.txt +++ b/tools/mtmd/CMakeLists.txt @@ -21,6 +21,7 @@ add_library(mtmd models/gemma4a.cpp models/gemma4v.cpp models/glm4v.cpp + models/granite-speech.cpp models/hunyuanocr.cpp models/internvl.cpp models/kimivl.cpp @@ -33,6 +34,7 @@ add_library(mtmd models/pixtral.cpp models/qwen2vl.cpp models/qwen3vl.cpp + models/mimovl.cpp models/qwen3a.cpp models/step3vl.cpp models/siglip.cpp diff --git a/tools/mtmd/README.md b/tools/mtmd/README.md index ef31d1957c..7019419471 100644 --- a/tools/mtmd/README.md +++ b/tools/mtmd/README.md @@ -49,6 +49,7 @@ For the following models, you can use `convert_hf_to_gguf.py` with `--mmproj` fl - Qwen 2 VL and Qwen 2.5 VL (from [Qwen](https://huggingface.co/Qwen)) - [Mistral Small 3.1 24B](https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503) - InternVL 2.5 and InternVL 3 from [OpenGVLab](https://huggingface.co/OpenGVLab) (note: we don't support conversion of `InternVL3-*-hf` model, only non-HF version is supported ; `InternLM2Model` **text** model is not supported) +- [MiniCPM-V 4.6](https://huggingface.co/openbmb/MiniCPM-V-4_6) ; See the guide [here](../../docs/multimodal/minicpmv4.6.md) - requires the standard `transformers` v5.7.0+ checkpoint For older models, please refer to the relevant guide for instructions on how to obtain or create them: @@ -60,4 +61,7 @@ NOTE: conversion scripts are located under `tools/mtmd/legacy-models` - [MiniCPM-V 2.5](../../docs/multimodal/minicpmv2.5.md) - [MiniCPM-V 2.6](../../docs/multimodal/minicpmv2.6.md) - [MiniCPM-o 2.6](../../docs/multimodal/minicpmo2.6.md) +- [MiniCPM-V 4.0](../../docs/multimodal/minicpmv4.0.md) +- [MiniCPM-o 4.0](../../docs/multimodal/minicpmo4.0.md) +- [MiniCPM-V 4.5](../../docs/multimodal/minicpmv4.5.md) - [IBM Granite Vision](../../docs/multimodal/granitevision.md) diff --git a/tools/mtmd/clip-graph.h b/tools/mtmd/clip-graph.h index d3e7b1ed04..39f069501b 100644 --- a/tools/mtmd/clip-graph.h +++ b/tools/mtmd/clip-graph.h @@ -98,7 +98,8 @@ struct clip_graph { ggml_tensor * v_cur, ggml_tensor * kq_mask, float kq_scale, - int il) const; + int il, + ggml_tensor * sinks = nullptr) const; // implementation of the 2D RoPE without adding a new op in ggml // this is not efficient (use double the memory), but works on all backends diff --git a/tools/mtmd/clip-impl.h b/tools/mtmd/clip-impl.h index 7d6484eea8..8e09f26e98 100644 --- a/tools/mtmd/clip-impl.h +++ b/tools/mtmd/clip-impl.h @@ -31,6 +31,7 @@ #define KEY_N_BLOCK "clip.%s.block_count" #define KEY_PROJ_DIM "clip.%s.projection_dim" #define KEY_N_HEAD "clip.%s.attention.head_count" +#define KEY_N_HEAD_KV "clip.%s.attention.head_count_kv" #define KEY_LAYER_NORM_EPS "clip.%s.attention.layer_norm_epsilon" // vision-specific @@ -53,6 +54,7 @@ #define KEY_IMAGE_GRID_PINPOINTS "clip.vision.image_grid_pinpoints" #define KEY_WIN_ATTN_PATTERN "clip.vision.n_wa_pattern" #define KEY_WIN_ATTN_LAYER_INDEXES "clip.vision.wa_layer_indexes" +#define KEY_WA_PATTERN_MODE "clip.vision.wa_pattern_mode" #define KEY_ATTN_WINDOW_SIZE "clip.vision.window_size" #define KEY_MINICPMV_VERSION "clip.minicpmv_version" #define KEY_MINICPMV_QUERY_NUM "clip.minicpmv_query_num" @@ -60,9 +62,15 @@ #define KEY_SAM_N_BLOCK "clip.vision.sam.block_count" #define KEY_SAM_N_EMBD "clip.vision.sam.embedding_length" // audio-specific -#define KEY_AUDIO_PROJ_TYPE "clip.audio.projector_type" // for models with mixed modalities -#define KEY_A_NUM_MEL_BINS "clip.audio.num_mel_bins" -#define KEY_A_PROJ_STACK_FACTOR "clip.audio.projector.stack_factor" +#define KEY_AUDIO_PROJ_TYPE "clip.audio.projector_type" // for models with mixed modalities +#define KEY_A_NUM_MEL_BINS "clip.audio.num_mel_bins" +#define KEY_A_PROJ_STACK_FACTOR "clip.audio.projector.stack_factor" +#define KEY_A_CHUNK_SIZE "clip.audio.chunk_size" +#define KEY_A_CONV_KERNEL_SIZE "clip.audio.conv_kernel_size" +#define KEY_A_MAX_POS_EMB "clip.audio.max_pos_emb" +#define KEY_A_PROJ_WINDOW_SIZE "clip.audio.projector.window_size" +#define KEY_A_PROJ_DOWNSAMPLE_RATE "clip.audio.projector.downsample_rate" +#define KEY_A_PROJ_HEAD_COUNT "clip.audio.projector.head_count" // @@ -80,6 +88,7 @@ #define TN_ATTN_Q "%s.blk.%d.attn_q.%s" #define TN_ATTN_V "%s.blk.%d.attn_v.%s" #define TN_ATTN_OUTPUT "%s.blk.%d.attn_out.%s" +#define TN_ATTN_SINKS "%s.blk.%d.attn_sinks" #define TN_ATTN_K_NORM "%s.blk.%d.attn_k_norm.%s" #define TN_ATTN_Q_NORM "%s.blk.%d.attn_q_norm.%s" #define TN_FFN_DOWN "%s.blk.%d.ffn_down.%s" @@ -126,6 +135,17 @@ #define TN_MINICPMV_ATTN "resampler.attn.%s.%s" #define TN_MINICPMV_LN "resampler.ln_%s.%s" +// MiniCPM-V 4.6 ViT merger (window attention + MLP downsample), +// matching the upstream `vit_merger` module name in transformers. +#define TN_VIT_MERGER_LN1 "v.vit_merger.ln1.%s" +#define TN_VIT_MERGER_ATTN_Q "v.vit_merger.attn_q.%s" +#define TN_VIT_MERGER_ATTN_K "v.vit_merger.attn_k.%s" +#define TN_VIT_MERGER_ATTN_V "v.vit_merger.attn_v.%s" +#define TN_VIT_MERGER_ATTN_O "v.vit_merger.attn_out.%s" +#define TN_VIT_MERGER_DS_LN "v.vit_merger.ds_ln.%s" +#define TN_VIT_MERGER_DS_UP "v.vit_merger.ds_ffn_up.%s" +#define TN_VIT_MERGER_DS_DOWN "v.vit_merger.ds_ffn_down.%s" + #define TN_GLM_ADAPER_CONV "adapter.conv.%s" #define TN_GLM_ADAPTER_LINEAR "adapter.linear.linear.%s" #define TN_GLM_ADAPTER_NORM_1 "adapter.linear.norm1.%s" @@ -182,6 +202,27 @@ #define TN_CONV_NORM "%s.blk.%d.conv_norm.%s" #define TN_CONV_PW1 "%s.blk.%d.conv_pw1.%s" #define TN_CONV_PW2 "%s.blk.%d.conv_pw2.%s" +#define TN_INP_PROJ "a.input_projection.%s" +#define TN_CTC_OUT "a.enc_ctc_out.%s" +#define TN_CTC_OUT_MID "a.enc_ctc_out_mid.%s" +#define TN_ATTN_REL_POS_EMB "%s.blk.%d.attn_rel_pos_emb" +// qformer projector +#define TN_QF_PROJ_QUERY "a.proj_query" +#define TN_QF_PROJ_NORM "a.proj_norm.%s" +#define TN_QF_PROJ_LINEAR "a.proj_linear.%s" +#define TN_QF_SELF_ATTN_Q "a.proj_blk.%d.self_attn_q.%s" +#define TN_QF_SELF_ATTN_K "a.proj_blk.%d.self_attn_k.%s" +#define TN_QF_SELF_ATTN_V "a.proj_blk.%d.self_attn_v.%s" +#define TN_QF_SELF_ATTN_O "a.proj_blk.%d.self_attn_out.%s" +#define TN_QF_SELF_ATTN_N "a.proj_blk.%d.self_attn_norm.%s" +#define TN_QF_CROSS_ATTN_Q "a.proj_blk.%d.cross_attn_q.%s" +#define TN_QF_CROSS_ATTN_K "a.proj_blk.%d.cross_attn_k.%s" +#define TN_QF_CROSS_ATTN_V "a.proj_blk.%d.cross_attn_v.%s" +#define TN_QF_CROSS_ATTN_O "a.proj_blk.%d.cross_attn_out.%s" +#define TN_QF_CROSS_ATTN_N "a.proj_blk.%d.cross_attn_norm.%s" +#define TN_QF_FFN_UP "a.proj_blk.%d.ffn_up.%s" +#define TN_QF_FFN_DOWN "a.proj_blk.%d.ffn_down.%s" +#define TN_QF_FFN_NORM "a.proj_blk.%d.ffn_norm.%s" // gemma4 audio conformer #define TN_A_MM_INP_PROJ "mm.a.input_projection.%s" @@ -304,6 +345,9 @@ enum projector_type { PROJECTOR_TYPE_NEMOTRON_V2_VL, PROJECTOR_TYPE_HUNYUANOCR, PROJECTOR_TYPE_HUNYUANVL, + PROJECTOR_TYPE_MINICPMV4_6, + PROJECTOR_TYPE_GRANITE_SPEECH, + PROJECTOR_TYPE_MIMOVL, PROJECTOR_TYPE_UNKNOWN, }; @@ -351,6 +395,9 @@ static std::map PROJECTOR_TYPE_NAMES = { { PROJECTOR_TYPE_NEMOTRON_V2_VL, "nemotron_v2_vl"}, { PROJECTOR_TYPE_HUNYUANOCR, "hunyuanocr"}, { PROJECTOR_TYPE_HUNYUANVL, "hunyuanvl"}, + { PROJECTOR_TYPE_MINICPMV4_6, "minicpmv4_6"}, + { PROJECTOR_TYPE_GRANITE_SPEECH, "granite_speech"}, + { PROJECTOR_TYPE_MIMOVL, "mimovl"}, }; static projector_type clip_projector_type_from_string(const std::string & str) { diff --git a/tools/mtmd/clip-model.h b/tools/mtmd/clip-model.h index bf8031b55b..ce15dbcd11 100644 --- a/tools/mtmd/clip-model.h +++ b/tools/mtmd/clip-model.h @@ -42,6 +42,7 @@ struct clip_hparams { int32_t n_ff = 0; int32_t projection_dim = 0; int32_t n_head = 0; + int32_t n_head_kv = 0; int32_t n_layer = 0; // idefics3 int32_t n_merge = 0; // number of patch merges **per-side** @@ -83,6 +84,7 @@ struct clip_hparams { int32_t attn_window_size = 0; int32_t n_wa_pattern = 0; std::unordered_set wa_layer_indexes; // explicit layer indexes that use full attention (for irregular patterns like YoutuVL) + std::vector wa_pattern_mode; // mimovl: per-layer window-attention mode // deepseek-ocr (sam) int32_t sam_n_layer = 0; @@ -92,6 +94,12 @@ struct clip_hparams { // audio int32_t n_mel_bins = 0; // whisper preprocessor int32_t proj_stack_factor = 0; // ultravox + int32_t audio_chunk_size = 0; + int32_t audio_conv_kernel_size = 0; + int32_t audio_max_pos_emb = 0; + int32_t audio_proj_window_size = 0; + int32_t audio_proj_downsample_rate = 0; + int32_t audio_proj_head_count = 0; // audio-to-mel preprocessor params int32_t audio_chunk_len = -1; // in seconds @@ -104,6 +112,7 @@ struct clip_hparams { bool has_llava_projector = false; int minicpmv_version = 0; int32_t minicpmv_query_num = 0; // MiniCPM-V query number + int32_t insert_layer_id = 0; // MiniCPM-V 4.6 ViT merger insertion layer // custom value provided by user, can be undefined if not set int32_t custom_image_min_tokens = -1; @@ -159,6 +168,8 @@ struct clip_layer { ggml_tensor * o_w = nullptr; ggml_tensor * o_b = nullptr; + ggml_tensor * attn_sinks = nullptr; + ggml_tensor * k_norm = nullptr; ggml_tensor * q_norm = nullptr; @@ -224,6 +235,21 @@ struct clip_layer { ggml_tensor * per_dim_k_scale_w = nullptr; ggml_tensor * ff_post_norm_1_w = nullptr; + // granite_speech conformer per-layer + ggml_tensor * attn_rel_pos_emb = nullptr; + + // granite_speech qformer cross-attention + ggml_tensor * cross_attn_q_w = nullptr; + ggml_tensor * cross_attn_q_b = nullptr; + ggml_tensor * cross_attn_k_w = nullptr; + ggml_tensor * cross_attn_k_b = nullptr; + ggml_tensor * cross_attn_v_w = nullptr; + ggml_tensor * cross_attn_v_b = nullptr; + ggml_tensor * cross_attn_o_w = nullptr; + ggml_tensor * cross_attn_o_b = nullptr; + ggml_tensor * cross_attn_norm_w = nullptr; + ggml_tensor * cross_attn_norm_b = nullptr; + bool has_deepstack() const { return deepstack_fc1_w != nullptr; } @@ -403,6 +429,24 @@ struct clip_model { ggml_tensor * mm_model_ln_post_w = nullptr; ggml_tensor * mm_model_ln_post_b = nullptr; + // MiniCPM-V 4.6 ViT merger (window self-attention + ViT MLP downsample) + ggml_tensor * vit_merger_ln1_w = nullptr; + ggml_tensor * vit_merger_ln1_b = nullptr; + ggml_tensor * vit_merger_attn_q_w = nullptr; + ggml_tensor * vit_merger_attn_q_b = nullptr; + ggml_tensor * vit_merger_attn_k_w = nullptr; + ggml_tensor * vit_merger_attn_k_b = nullptr; + ggml_tensor * vit_merger_attn_v_w = nullptr; + ggml_tensor * vit_merger_attn_v_b = nullptr; + ggml_tensor * vit_merger_attn_o_w = nullptr; + ggml_tensor * vit_merger_attn_o_b = nullptr; + ggml_tensor * vit_merger_ds_ln_w = nullptr; + ggml_tensor * vit_merger_ds_ln_b = nullptr; + ggml_tensor * vit_merger_ds_up_w = nullptr; + ggml_tensor * vit_merger_ds_up_b = nullptr; + ggml_tensor * vit_merger_ds_down_w = nullptr; + ggml_tensor * vit_merger_ds_down_b = nullptr; + // gemma3 ggml_tensor * mm_input_proj_w = nullptr; ggml_tensor * mm_soft_emb_norm_w = nullptr; @@ -515,6 +559,21 @@ struct clip_model { ggml_tensor * audio_out_proj_w = nullptr; ggml_tensor * audio_out_proj_b = nullptr; + // granite_speech encoder + ggml_tensor * inp_proj_w = nullptr; + ggml_tensor * inp_proj_b = nullptr; + ggml_tensor * ctc_out_w = nullptr; + ggml_tensor * ctc_out_b = nullptr; + ggml_tensor * ctc_out_mid_w = nullptr; + ggml_tensor * ctc_out_mid_b = nullptr; + // qformer projector + ggml_tensor * qf_proj_query = nullptr; + ggml_tensor * qf_proj_norm_w = nullptr; + ggml_tensor * qf_proj_norm_b = nullptr; + ggml_tensor * qf_proj_linear_w = nullptr; + ggml_tensor * qf_proj_linear_b = nullptr; + std::vector qf_proj_layers; + bool audio_has_avgpool() const { return proj_type == PROJECTOR_TYPE_QWEN2A || proj_type == PROJECTOR_TYPE_VOXTRAL diff --git a/tools/mtmd/clip.cpp b/tools/mtmd/clip.cpp index 45e39898d8..2e0cfa61f4 100644 --- a/tools/mtmd/clip.cpp +++ b/tools/mtmd/clip.cpp @@ -642,7 +642,8 @@ ggml_tensor * clip_graph::build_attn( ggml_tensor * v_cur, ggml_tensor * kq_mask, float kq_scale, - int il) const { + int il, + ggml_tensor * sinks) const { // these nodes are added to the graph together so that they are not reordered // by doing so, the number of splits in the graph is reduced ggml_build_forward_expand(gf, q_cur); @@ -665,6 +666,9 @@ ggml_tensor * clip_graph::build_attn( cur = ggml_flash_attn_ext(ctx0, q, k, v, kq_mask, kq_scale, 0.0f, 0.0f); ggml_flash_attn_ext_set_prec(cur, GGML_PREC_F32); + if (sinks != nullptr) { + ggml_flash_attn_ext_add_sinks(cur, sinks); + } cur = ggml_reshape_2d(ctx0, cur, cur->ne[0]*cur->ne[1], cur->ne[2]*cur->ne[3]); @@ -677,6 +681,9 @@ ggml_tensor * clip_graph::build_attn( // ggml_mul_mat_set_prec(kq, GGML_PREC_F32); kq = ggml_soft_max_ext(ctx0, kq, kq_mask, kq_scale, 0.0f); + if (sinks != nullptr) { + ggml_soft_max_add_sinks(kq, sinks); + } ggml_tensor * kqv = ggml_mul_mat(ctx0, v, kq); cur = ggml_permute(ctx0, kqv, 0, 2, 1, 3); @@ -866,6 +873,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 { builder = std::make_unique(ctx, img); } break; + case PROJECTOR_TYPE_MIMOVL: + { + builder = std::make_unique(ctx, img); + } break; case PROJECTOR_TYPE_STEP3VL: { builder = std::make_unique(ctx, img); @@ -874,6 +885,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 { builder = std::make_unique(ctx, img); } break; + case PROJECTOR_TYPE_MINICPMV4_6: + { + builder = std::make_unique(ctx, img); + } break; case PROJECTOR_TYPE_INTERNVL: { builder = std::make_unique(ctx, img); @@ -936,6 +951,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 { builder = std::make_unique(ctx, img); } break; + case PROJECTOR_TYPE_GRANITE_SPEECH: + { + builder = std::make_unique(ctx, img); + } break; case PROJECTOR_TYPE_GLM4V: { builder = std::make_unique(ctx, img); @@ -975,7 +994,7 @@ struct clip_model_loader { bool has_audio = false; // TODO @ngxson : we should not pass clip_ctx here, it should be clip_model - clip_model_loader(const char * fname) : fname(fname) { + clip_model_loader(const char * fname, bool skip_tensors = false) : fname(fname) { struct ggml_context * meta = nullptr; struct gguf_init_params params = { @@ -1021,7 +1040,7 @@ struct clip_model_loader { } // tensors - { + if (!skip_tensors) { for (int i = 0; i < n_tensors; ++i) { const char * name = gguf_get_tensor_name(ctx_gguf.get(), i); const size_t offset = gguf_get_tensor_offset(ctx_gguf.get(), i); @@ -1227,6 +1246,20 @@ struct clip_model_loader { hparams.minicpmv_version = 2; // default to 2 if not set } } break; + case PROJECTOR_TYPE_MINICPMV4_6: + { + // MiniCPM-V 4.6 unified merger projector + // ViT merger 2x2 + final merger 2x2 = 4x spatial merge per dimension + hparams.n_merge = 4; + get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false); + + // borrow wa_layer_indexes for vit_merger insertion point + std::vector wa_layer_indexes_vec; + get_arr_int(KEY_WIN_ATTN_LAYER_INDEXES, wa_layer_indexes_vec, false); + if (!wa_layer_indexes_vec.empty()) { + hparams.insert_layer_id = wa_layer_indexes_vec[0]; + } + } break; case PROJECTOR_TYPE_INTERNVL: { // use default llava-uhd preprocessing params @@ -1367,6 +1400,22 @@ struct clip_model_loader { LOG_WRN("%s: more info: https://github.com/ggml-org/llama.cpp/issues/16842\n\n", __func__); } } break; + case PROJECTOR_TYPE_MIMOVL: + { + hparams.n_merge = 2; // spatial_merge_size + hparams.image_resize_algo = RESIZE_ALGO_BICUBIC_PILLOW; + get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false); + get_u32(string_format(KEY_N_HEAD_KV, "vision"), hparams.n_head_kv); + // 1D banded sliding-window radius (visual_token_window_size); required + get_u32(KEY_ATTN_WINDOW_SIZE, hparams.attn_window_size); + std::vector pat; + get_arr_int(KEY_WA_PATTERN_MODE, pat, true); + GGML_ASSERT((int) pat.size() == hparams.n_layer && "mimovl wa_pattern_mode length must equal n_layer"); + hparams.wa_pattern_mode.assign(pat.begin(), pat.end()); + get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels); + get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels); + hparams.set_warmup_n_tokens(46*46); // avoid OOM on warmup + } break; case PROJECTOR_TYPE_STEP3VL: { hparams.n_merge = 4; // two stride-2 downsamplers after patching @@ -1503,6 +1552,20 @@ struct clip_model_loader { hparams.audio_window_len = 320; // 20ms frame (NOT 25ms/400) hparams.audio_hop_len = 160; } break; + case PROJECTOR_TYPE_GRANITE_SPEECH: + { + hparams.audio_chunk_len = 0; + hparams.audio_sample_rate = 16000; + hparams.audio_n_fft = 512; + hparams.audio_window_len = 400; + hparams.audio_hop_len = 160; + get_u32(KEY_A_CHUNK_SIZE, hparams.audio_chunk_size); + get_u32(KEY_A_CONV_KERNEL_SIZE, hparams.audio_conv_kernel_size); + get_u32(KEY_A_MAX_POS_EMB, hparams.audio_max_pos_emb); + get_u32(KEY_A_PROJ_WINDOW_SIZE, hparams.audio_proj_window_size); + get_u32(KEY_A_PROJ_DOWNSAMPLE_RATE, hparams.audio_proj_downsample_rate); + get_u32(KEY_A_PROJ_HEAD_COUNT, hparams.audio_proj_head_count); + } break; case PROJECTOR_TYPE_JANUS_PRO: { hparams.image_pad_color = {127, 127, 127}; @@ -1654,13 +1717,13 @@ struct clip_model_loader { model.position_embeddings = get_tensor(string_format(TN_POS_EMBD, prefix), false); - if (model.proj_type == PROJECTOR_TYPE_GEMMA3NV) { - hparams.n_layer = 0; // gemma3n does not use normal layer structure - } + const bool has_standard_layers = ( + model.proj_type != PROJECTOR_TYPE_GEMMA3NV); // layers - model.layers.resize(hparams.n_layer); - for (int il = 0; il < hparams.n_layer; ++il) { + const int n_layers_to_load = has_standard_layers ? hparams.n_layer : 0; + model.layers.resize(n_layers_to_load); + for (int il = 0; il < n_layers_to_load; ++il) { auto & layer = model.layers[il]; layer.k_w = get_tensor(string_format(TN_ATTN_K, prefix, il, "weight"), false); layer.q_w = get_tensor(string_format(TN_ATTN_Q, prefix, il, "weight"), false); @@ -1693,6 +1756,8 @@ struct clip_model_loader { layer.ff_down_w = get_tensor(string_format(TN_FFN_DOWN, prefix, il, "weight")); layer.ff_down_b = get_tensor(string_format(TN_FFN_DOWN, prefix, il, "bias"), false); + // mimovl per-head attention sink bias + layer.attn_sinks = get_tensor(string_format(TN_ATTN_SINKS, prefix, il), false); // qwen3vl deepstack layer layer.deepstack_norm_w = get_tensor(string_format(TN_DEEPSTACK_NORM, il, "weight"), false); @@ -1719,6 +1784,7 @@ struct clip_model_loader { || model.proj_type == PROJECTOR_TYPE_GEMMA3 || model.proj_type == PROJECTOR_TYPE_IDEFICS3 || model.proj_type == PROJECTOR_TYPE_MINICPMV + || model.proj_type == PROJECTOR_TYPE_MINICPMV4_6 ) && layer.ff_up_w && layer.ff_down_w && layer.ff_down_w->ne[0] == hparams.n_embd; if (is_ffn_swapped) { // swap up and down weights @@ -1820,6 +1886,34 @@ struct clip_model_loader { model.mm_model_ln_post_w = get_tensor(string_format(TN_MINICPMV_LN, "post", "weight")); model.mm_model_ln_post_b = get_tensor(string_format(TN_MINICPMV_LN, "post", "bias")); } break; + case PROJECTOR_TYPE_MINICPMV4_6: + { + // ViT merger: window self-attention + model.vit_merger_ln1_w = get_tensor(string_format(TN_VIT_MERGER_LN1, "weight")); + model.vit_merger_ln1_b = get_tensor(string_format(TN_VIT_MERGER_LN1, "bias")); + model.vit_merger_attn_q_w = get_tensor(string_format(TN_VIT_MERGER_ATTN_Q, "weight")); + model.vit_merger_attn_q_b = get_tensor(string_format(TN_VIT_MERGER_ATTN_Q, "bias"), false); + model.vit_merger_attn_k_w = get_tensor(string_format(TN_VIT_MERGER_ATTN_K, "weight")); + model.vit_merger_attn_k_b = get_tensor(string_format(TN_VIT_MERGER_ATTN_K, "bias"), false); + model.vit_merger_attn_v_w = get_tensor(string_format(TN_VIT_MERGER_ATTN_V, "weight")); + model.vit_merger_attn_v_b = get_tensor(string_format(TN_VIT_MERGER_ATTN_V, "bias"), false); + model.vit_merger_attn_o_w = get_tensor(string_format(TN_VIT_MERGER_ATTN_O, "weight")); + model.vit_merger_attn_o_b = get_tensor(string_format(TN_VIT_MERGER_ATTN_O, "bias"), false); + // ViT merger: MLP downsample + model.vit_merger_ds_ln_w = get_tensor(string_format(TN_VIT_MERGER_DS_LN, "weight")); + model.vit_merger_ds_ln_b = get_tensor(string_format(TN_VIT_MERGER_DS_LN, "bias")); + model.vit_merger_ds_up_w = get_tensor(string_format(TN_VIT_MERGER_DS_UP, "weight")); + model.vit_merger_ds_up_b = get_tensor(string_format(TN_VIT_MERGER_DS_UP, "bias"), false); + model.vit_merger_ds_down_w = get_tensor(string_format(TN_VIT_MERGER_DS_DOWN, "weight")); + model.vit_merger_ds_down_b = get_tensor(string_format(TN_VIT_MERGER_DS_DOWN, "bias"), false); + // Final Merger (DownsampleMLP) + model.mm_input_norm_w = get_tensor(TN_MM_INP_NORM); + model.mm_input_norm_b = get_tensor(TN_MM_INP_NORM_B, false); + model.mm_ffn_up_w = get_tensor(string_format(TN_MM_UP, "weight")); + model.mm_ffn_up_b = get_tensor(string_format(TN_MM_UP, "bias"), false); + model.mm_ffn_down_w = get_tensor(string_format(TN_MM_DOWN, "weight")); + model.mm_ffn_down_b = get_tensor(string_format(TN_MM_DOWN, "bias"), false); + } break; case PROJECTOR_TYPE_GLM_EDGE: { model.mm_model_adapter_conv_w = get_tensor(string_format(TN_GLM_ADAPER_CONV, "weight")); @@ -1848,6 +1942,13 @@ struct clip_model_loader { model.mm_1_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight")); model.mm_1_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias")); } break; + case PROJECTOR_TYPE_MIMOVL: + { + model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight")); + model.mm_0_b = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"), false); + model.mm_1_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight")); + model.mm_1_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"), false); + } break; case PROJECTOR_TYPE_STEP3VL: { model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight")); @@ -2415,6 +2516,83 @@ struct clip_model_loader { layer.conv_pw2_b = get_tensor(string_format(TN_CONV_PW2, prefix, il, "bias")); } } break; + case PROJECTOR_TYPE_GRANITE_SPEECH: + { + model.inp_proj_w = get_tensor(string_format(TN_INP_PROJ, "weight")); + model.inp_proj_b = get_tensor(string_format(TN_INP_PROJ, "bias")); + model.ctc_out_w = get_tensor(string_format(TN_CTC_OUT, "weight")); + model.ctc_out_b = get_tensor(string_format(TN_CTC_OUT, "bias")); + model.ctc_out_mid_w = get_tensor(string_format(TN_CTC_OUT_MID, "weight")); + model.ctc_out_mid_b = get_tensor(string_format(TN_CTC_OUT_MID, "bias")); + + // per-layer tensors not loaded by the generic loop above + for (int il = 0; il < hparams.n_layer; ++il) { + auto & layer = model.layers[il]; + + layer.attn_rel_pos_emb = get_tensor(string_format(TN_ATTN_REL_POS_EMB, prefix, il)); + + layer.ff_norm_w = get_tensor(string_format(TN_FFN_NORM, prefix, il, "weight")); + layer.ff_norm_b = get_tensor(string_format(TN_FFN_NORM, prefix, il, "bias")); + + layer.ff_norm_1_w = get_tensor(string_format(TN_FFN_NORM_1, prefix, il, "weight")); + layer.ff_norm_1_b = get_tensor(string_format(TN_FFN_NORM_1, prefix, il, "bias")); + layer.ff_up_1_w = get_tensor(string_format(TN_FFN_UP_1, prefix, il, "weight")); + layer.ff_up_1_b = get_tensor(string_format(TN_FFN_UP_1, prefix, il, "bias")); + layer.ff_down_1_w = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "weight")); + layer.ff_down_1_b = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "bias")); + + layer.norm_conv_w = get_tensor(string_format(TN_NORM_CONV, prefix, il, "weight")); + layer.norm_conv_b = get_tensor(string_format(TN_NORM_CONV, prefix, il, "bias")); + layer.conv_norm_w = get_tensor(string_format(TN_CONV_NORM, prefix, il, "weight")); + layer.conv_norm_b = get_tensor(string_format(TN_CONV_NORM, prefix, il, "bias")); + layer.conv_dw_w = get_tensor(string_format(TN_CONV_DW, prefix, il, "weight")); + layer.conv_pw1_w = get_tensor(string_format(TN_CONV_PW1, prefix, il, "weight")); + layer.conv_pw1_b = get_tensor(string_format(TN_CONV_PW1, prefix, il, "bias")); + layer.conv_pw2_w = get_tensor(string_format(TN_CONV_PW2, prefix, il, "weight")); + layer.conv_pw2_b = get_tensor(string_format(TN_CONV_PW2, prefix, il, "bias")); + } + + model.qf_proj_query = get_tensor(TN_QF_PROJ_QUERY); + model.qf_proj_norm_w = get_tensor(string_format(TN_QF_PROJ_NORM, "weight")); + model.qf_proj_norm_b = get_tensor(string_format(TN_QF_PROJ_NORM, "bias")); + model.qf_proj_linear_w = get_tensor(string_format(TN_QF_PROJ_LINEAR, "weight")); + model.qf_proj_linear_b = get_tensor(string_format(TN_QF_PROJ_LINEAR, "bias")); + + const int n_proj_layers = 2; + model.qf_proj_layers.resize(n_proj_layers); + for (int il = 0; il < n_proj_layers; ++il) { + auto & pl = model.qf_proj_layers[il]; + + pl.q_w = get_tensor(string_format(TN_QF_SELF_ATTN_Q, il, "weight")); + pl.q_b = get_tensor(string_format(TN_QF_SELF_ATTN_Q, il, "bias")); + pl.k_w = get_tensor(string_format(TN_QF_SELF_ATTN_K, il, "weight")); + pl.k_b = get_tensor(string_format(TN_QF_SELF_ATTN_K, il, "bias")); + pl.v_w = get_tensor(string_format(TN_QF_SELF_ATTN_V, il, "weight")); + pl.v_b = get_tensor(string_format(TN_QF_SELF_ATTN_V, il, "bias")); + pl.o_w = get_tensor(string_format(TN_QF_SELF_ATTN_O, il, "weight")); + pl.o_b = get_tensor(string_format(TN_QF_SELF_ATTN_O, il, "bias")); + pl.ln_1_w = get_tensor(string_format(TN_QF_SELF_ATTN_N, il, "weight")); + pl.ln_1_b = get_tensor(string_format(TN_QF_SELF_ATTN_N, il, "bias")); + + pl.cross_attn_q_w = get_tensor(string_format(TN_QF_CROSS_ATTN_Q, il, "weight")); + pl.cross_attn_q_b = get_tensor(string_format(TN_QF_CROSS_ATTN_Q, il, "bias")); + pl.cross_attn_k_w = get_tensor(string_format(TN_QF_CROSS_ATTN_K, il, "weight")); + pl.cross_attn_k_b = get_tensor(string_format(TN_QF_CROSS_ATTN_K, il, "bias")); + pl.cross_attn_v_w = get_tensor(string_format(TN_QF_CROSS_ATTN_V, il, "weight")); + pl.cross_attn_v_b = get_tensor(string_format(TN_QF_CROSS_ATTN_V, il, "bias")); + pl.cross_attn_o_w = get_tensor(string_format(TN_QF_CROSS_ATTN_O, il, "weight")); + pl.cross_attn_o_b = get_tensor(string_format(TN_QF_CROSS_ATTN_O, il, "bias")); + pl.cross_attn_norm_w = get_tensor(string_format(TN_QF_CROSS_ATTN_N, il, "weight")); + pl.cross_attn_norm_b = get_tensor(string_format(TN_QF_CROSS_ATTN_N, il, "bias")); + + pl.ff_up_w = get_tensor(string_format(TN_QF_FFN_UP, il, "weight")); + pl.ff_up_b = get_tensor(string_format(TN_QF_FFN_UP, il, "bias")); + pl.ff_down_w = get_tensor(string_format(TN_QF_FFN_DOWN, il, "weight")); + pl.ff_down_b = get_tensor(string_format(TN_QF_FFN_DOWN, il, "bias")); + pl.ln_2_w = get_tensor(string_format(TN_QF_FFN_NORM, il, "weight")); + pl.ln_2_b = get_tensor(string_format(TN_QF_FFN_NORM, il, "bias")); + } + } break; default: GGML_ASSERT(false && "unknown projector type"); } @@ -2749,6 +2927,14 @@ struct clip_init_result clip_init(const char * fname, struct clip_context_params return {ctx_vision, ctx_audio}; } +struct clip_cap clip_get_cap(const char * fname) { + clip_cap res; + clip_model_loader loader(fname, /* skip_tensors= */ true); + res.has_vision = loader.has_vision; + res.has_audio = loader.has_audio; + return res; +} + struct clip_image_size * clip_image_size_init() { struct clip_image_size * load_image_size = new struct clip_image_size(); load_image_size->width = 448; @@ -2869,6 +3055,7 @@ int clip_n_output_tokens_x(const struct clip_ctx * ctx, struct clip_image_f32 * case PROJECTOR_TYPE_QWEN2VL: case PROJECTOR_TYPE_QWEN25VL: case PROJECTOR_TYPE_QWEN3VL: + case PROJECTOR_TYPE_MIMOVL: case PROJECTOR_TYPE_GLM4V: case PROJECTOR_TYPE_PADDLEOCR: case PROJECTOR_TYPE_HUNYUANOCR: @@ -2890,6 +3077,7 @@ int clip_n_output_tokens_y(const struct clip_ctx * ctx, struct clip_image_f32 * case PROJECTOR_TYPE_QWEN2VL: case PROJECTOR_TYPE_QWEN25VL: case PROJECTOR_TYPE_QWEN3VL: + case PROJECTOR_TYPE_MIMOVL: case PROJECTOR_TYPE_GLM4V: case PROJECTOR_TYPE_PADDLEOCR: case PROJECTOR_TYPE_HUNYUANVL: @@ -2960,9 +3148,15 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im } } } break; + case PROJECTOR_TYPE_MINICPMV4_6: + { + // ViT merger 4x + final merger 4x = 16x total spatial downsample + n_patches = n_patches / 16; + } break; case PROJECTOR_TYPE_QWEN2VL: case PROJECTOR_TYPE_QWEN25VL: case PROJECTOR_TYPE_QWEN3VL: + case PROJECTOR_TYPE_MIMOVL: case PROJECTOR_TYPE_GLM4V: case PROJECTOR_TYPE_YOUTUVL: { @@ -3105,6 +3299,12 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im } n_patches = n; } break; + case PROJECTOR_TYPE_GRANITE_SPEECH: + { + const int ws = ctx->model.hparams.audio_proj_window_size; + const int ds = ctx->model.hparams.audio_proj_downsample_rate; + n_patches = ((img->nx + ws - 1) / ws) * (ws / ds); + } break; default: GGML_ABORT("unsupported projector type"); } @@ -3276,6 +3476,92 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima } set_input_f32("omega", omega); } break; + case PROJECTOR_TYPE_MINICPMV4_6: + { + // SigLIP position buckets (same as resampler path) + std::vector positions(pos_h * pos_w); + int bucket_coords_h[1024]; + int bucket_coords_w[1024]; + for (int i = 0; i < pos_h; i++){ + bucket_coords_h[i] = std::floor(70.0*i/pos_h); + } + for (int i = 0; i < pos_w; i++){ + bucket_coords_w[i] = std::floor(70.0*i/pos_w); + } + for (int i = 0, id = 0; i < pos_h; i++){ + for (int j = 0; j < pos_w; j++){ + positions[id++] = bucket_coords_h[i]*70 + bucket_coords_w[j]; + } + } + set_input_i32("positions", positions); + + const int half_h = pos_h / 2; + const int half_w = pos_w / 2; + + // window reorder indices for 2x2 windows + std::vector window_idx(n_pos); + std::vector inv_window_idx(n_pos); + { + int k = 0; + for (int wi = 0; wi < half_h; wi++) { + for (int wj = 0; wj < half_w; wj++) { + window_idx[k++] = (2*wi ) * pos_w + (2*wj ); + window_idx[k++] = (2*wi ) * pos_w + (2*wj + 1); + window_idx[k++] = (2*wi + 1) * pos_w + (2*wj ); + window_idx[k++] = (2*wi + 1) * pos_w + (2*wj + 1); + } + } + for (int i = 0; i < n_pos; i++) { + inv_window_idx[window_idx[i]] = i; + } + } + set_input_i32("vit_merger_window_idx", window_idx); + set_input_i32("vit_merger_inv_window_idx", inv_window_idx); + + // block-diagonal attention mask: tokens in the same 4-token + // window attend to each other (mask = 0), all other positions + // are masked out (-inf). matches the window-major reorder above. + std::vector window_mask_data(n_pos * n_pos, std::numeric_limits::lowest()); + for (int wi = 0; wi < n_pos / 4; wi++) { + for (int i = 0; i < 4; i++) { + for (int j = 0; j < 4; j++) { + window_mask_data[(wi*4 + i) * n_pos + (wi*4 + j)] = 0.0f; + } + } + } + set_input_f32("vit_merger_window_mask", window_mask_data); + + // ViT merger 2x2 downsample indices + auto make_ds_idx = [](int off_r, int off_c, int ds_h, int ds_w, int stride_w) { + std::vector idx(ds_h * ds_w); + for (int i = 0; i < ds_h; i++) { + for (int j = 0; j < ds_w; j++) { + idx[i * ds_w + j] = (2*i + off_r) * stride_w + (2*j + off_c); + } + } + return idx; + }; + auto vit_merger_ds_0 = make_ds_idx(0, 0, half_h, half_w, pos_w); + auto vit_merger_ds_1 = make_ds_idx(0, 1, half_h, half_w, pos_w); + auto vit_merger_ds_2 = make_ds_idx(1, 0, half_h, half_w, pos_w); + auto vit_merger_ds_3 = make_ds_idx(1, 1, half_h, half_w, pos_w); + set_input_i32("vit_merger_ds_idx_0", vit_merger_ds_0); + set_input_i32("vit_merger_ds_idx_1", vit_merger_ds_1); + set_input_i32("vit_merger_ds_idx_2", vit_merger_ds_2); + set_input_i32("vit_merger_ds_idx_3", vit_merger_ds_3); + + // final merger 2x2 downsample indices (operates on half_h x half_w grid) + const int qh = half_h / 2; + const int qw = half_w / 2; + auto m_ds_0 = make_ds_idx(0, 0, qh, qw, half_w); + auto m_ds_1 = make_ds_idx(0, 1, qh, qw, half_w); + auto m_ds_2 = make_ds_idx(1, 0, qh, qw, half_w); + auto m_ds_3 = make_ds_idx(1, 1, qh, qw, half_w); + set_input_i32("merger_ds_idx_0", m_ds_0); + set_input_i32("merger_ds_idx_1", m_ds_1); + set_input_i32("merger_ds_idx_2", m_ds_2); + set_input_i32("merger_ds_idx_3", m_ds_3); + } break; case PROJECTOR_TYPE_QWEN2VL: case PROJECTOR_TYPE_QWEN3VL: case PROJECTOR_TYPE_GLM4V: @@ -3442,6 +3728,89 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima set_input_i32("positions", positions); } break; + case PROJECTOR_TYPE_MIMOVL: + { + const int merge = hparams.n_merge; // 2 + const int merge_unit = merge * merge; // 4 + const int patch = hparams.patch_size; // 16 + const int H = image_size_height / patch; + const int W = image_size_width / patch; + const int n_pos_full = H * W; + const int llm_h = H / merge; + const int llm_w = W / merge; + const int n_units = llm_h * llm_w; // n_pos / merge_unit + + // Row-major merge-tile-ordered (h, w) positions + std::vector pos_h_row(n_pos_full); + std::vector pos_w_row(n_pos_full); + { + int idx = 0; + for (int ty = 0; ty < llm_h; ty++) { + for (int tx = 0; tx < llm_w; tx++) { + for (int dy = 0; dy < merge; dy++) { + for (int dx = 0; dx < merge; dx++) { + pos_h_row[idx] = ty * merge + dy; + pos_w_row[idx] = tx * merge + dx; + idx++; + } + } + } + } + } + + // Col-major merge-unit permutation + std::vector idx_col(n_units); + for (int r = 0; r < llm_h; r++) { + for (int c = 0; c < llm_w; c++) { + int u_row = r * llm_w + c; + int u_col = c * llm_h + r; + idx_col[u_col] = (float) u_row; + } + } + + // Col-mode positions: permute pos_*_row by idx_col + std::vector pos_h_col(n_pos_full); + std::vector pos_w_col(n_pos_full); + for (int u = 0; u < n_units; u++) { + int src = (int) idx_col[u]; + for (int k = 0; k < merge_unit; k++) { + pos_h_col[u * merge_unit + k] = pos_h_row[src * merge_unit + k]; + pos_w_col[u * merge_unit + k] = pos_w_row[src * merge_unit + k]; + } + } + + // Pack into ggml_rope_multi VISION-mode layout. The non-CPU kernels + // only read slots 0 and 1, so pack h in slot 0, w in slot 1: + // positions[0..n_pos) = h + // positions[n_pos..2*n_pos) = w + // positions[2*n_pos..3*n_pos) = 0 + // positions[3*n_pos..4*n_pos) = 0 + std::vector positions_row(static_cast(n_pos_full) * 4, 0); + std::vector positions_col(static_cast(n_pos_full) * 4, 0); + for (int i = 0; i < n_pos_full; i++) { + positions_row[0 * n_pos_full + i] = pos_h_row[i]; + positions_row[1 * n_pos_full + i] = pos_w_row[i]; + positions_col[0 * n_pos_full + i] = pos_h_col[i]; + positions_col[1 * n_pos_full + i] = pos_w_col[i]; + } + + // Banded 1D sliding-window mask + const int window = hparams.attn_window_size; + GGML_ASSERT(window > 0); + std::vector mask(static_cast(n_pos_full) * n_pos_full, std::numeric_limits::lowest()); + for (int q = 0; q < n_pos_full; q++) { + int lo = std::max(0, q - window); + int hi = std::min(n_pos_full - 1, q + window); + for (int k = lo; k <= hi; k++) { + mask[static_cast(q) * n_pos_full + k] = 0.0f; + } + } + + set_input_i32("mimovl_positions_row", positions_row); + set_input_i32("mimovl_positions_col", positions_col); + set_input_f32("mimovl_idx_col", idx_col); + set_input_f32("mimovl_window_mask", mask); + } break; case PROJECTOR_TYPE_PIXTRAL: case PROJECTOR_TYPE_KIMIVL: case PROJECTOR_TYPE_KIMIK25: @@ -3701,6 +4070,39 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima } set_input_f32("pos_emb", pos_emb); } break; + case PROJECTOR_TYPE_GRANITE_SPEECH: + { + const int context_size = ctx->model.hparams.audio_chunk_size; + const int max_pos_emb = ctx->model.hparams.audio_max_pos_emb; + + std::vector dists(context_size * context_size); + for (int i = 0; i < context_size; i++) { + for (int j = 0; j < context_size; j++) { + int d = i - j; + if (d < -context_size) d = -context_size; + if (d > context_size) d = context_size; + dists[i * context_size + j] = d + max_pos_emb; + } + } + set_input_i32("attn_dists", dists); + + const int n_frames = image_size_width; + const int remainder = n_frames % context_size; + if (remainder > 0) { + const int num_blocks = (n_frames + context_size - 1) / context_size; + std::vector mask(context_size * context_size * num_blocks, 0.0f); + const float neg_inf = -INFINITY; + const int last_block_offset = (num_blocks - 1) * context_size * context_size; + for (int q = 0; q < context_size; q++) { + for (int k = 0; k < context_size; k++) { + if (q >= remainder || k >= remainder) { + mask[last_block_offset + q * context_size + k] = neg_inf; + } + } + } + set_input_f32("attn_mask", mask); + } + } break; default: GGML_ABORT("Unknown projector type"); } @@ -3797,6 +4199,8 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) { return ctx->model.mm_3_b->ne[0]; case PROJECTOR_TYPE_MINICPMV: return ctx->model.mm_model_proj->ne[0]; + case PROJECTOR_TYPE_MINICPMV4_6: + return ctx->model.mm_ffn_down_w->ne[1]; case PROJECTOR_TYPE_GLM_EDGE: return ctx->model.mm_model_mlp_3_w->ne[1]; case PROJECTOR_TYPE_QWEN2VL: @@ -3807,6 +4211,8 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) { case PROJECTOR_TYPE_QWEN3VL: // main path + deepstack paths return ctx->model.mm_1_b->ne[0] * (1 + ctx->model.n_deepstack_layers); + case PROJECTOR_TYPE_MIMOVL: + return ctx->model.mm_1_w->ne[1]; case PROJECTOR_TYPE_STEP3VL: return ctx->model.mm_model_proj->ne[1]; case PROJECTOR_TYPE_GEMMA3: @@ -3849,6 +4255,8 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) { return ctx->model.position_embeddings->ne[0]; case PROJECTOR_TYPE_GEMMA4A: return ctx->model.hparams.projection_dim; + case PROJECTOR_TYPE_GRANITE_SPEECH: + return ctx->model.qf_proj_linear_w->ne[1]; case PROJECTOR_TYPE_GLM4V: return ctx->model.mm_ffn_down_w->ne[1]; default: @@ -3861,6 +4269,9 @@ int clip_is_minicpmv(const struct clip_ctx * ctx) { if (ctx->proj_type() == PROJECTOR_TYPE_MINICPMV) { return ctx->model.hparams.minicpmv_version; } + if (ctx->proj_type() == PROJECTOR_TYPE_MINICPMV4_6) { + return 46; + } return 0; } diff --git a/tools/mtmd/clip.h b/tools/mtmd/clip.h index a859b38658..5f9dc93c6b 100644 --- a/tools/mtmd/clip.h +++ b/tools/mtmd/clip.h @@ -116,3 +116,9 @@ void clip_image_f32_batch_add_mel(struct clip_image_f32_batch * batch, int n_mel bool clip_has_vision_encoder(const struct clip_ctx * ctx); bool clip_has_audio_encoder(const struct clip_ctx * ctx); bool clip_has_whisper_encoder(const struct clip_ctx * ctx); + +struct clip_cap { + bool has_vision; + bool has_audio; +}; +struct clip_cap clip_get_cap(const char * fname); diff --git a/tools/mtmd/debug/mtmd-debug.cpp b/tools/mtmd/debug/mtmd-debug.cpp index 1e41ef793b..f19ca4cfe2 100644 --- a/tools/mtmd/debug/mtmd-debug.cpp +++ b/tools/mtmd/debug/mtmd-debug.cpp @@ -68,6 +68,8 @@ int main(int argc, char ** argv) { return 1; } + ggml_backend_load_all(); + LOG_INF("%s: loading model: %s\n", __func__, params.model.path.c_str()); mtmd::context_ptr ctx_mtmd; diff --git a/tools/mtmd/models/granite-speech.cpp b/tools/mtmd/models/granite-speech.cpp new file mode 100644 index 0000000000..c7e3794a49 --- /dev/null +++ b/tools/mtmd/models/granite-speech.cpp @@ -0,0 +1,275 @@ +#include "models.h" + +ggml_cgraph * clip_graph_granite_speech::build() { + const int n_frames = img.nx; + const int context_size = hparams.audio_chunk_size; + const int ctc_layer = n_layer / 2; + const int conv_kernel = hparams.audio_conv_kernel_size; + const int conv_pad = conv_kernel / 2; + + const int num_blocks = (n_frames + context_size - 1) / context_size; + const int padded_len = num_blocks * context_size; + const int remainder = n_frames % context_size; + + ggml_tensor * attn_dists = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, context_size * context_size); + ggml_set_name(attn_dists, "attn_dists"); + ggml_set_input(attn_dists); + + ggml_tensor * attn_mask = nullptr; + if (remainder > 0) { + attn_mask = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32, + context_size, context_size, 1, num_blocks); + ggml_set_name(attn_mask, "attn_mask"); + ggml_set_input(attn_mask); + } + + ggml_tensor * inp = build_inp_raw(1); + auto * cur = ggml_cont(ctx0, ggml_transpose(ctx0, inp)); + cb(cur, "inp_transposed", -1); + + cur = build_mm(model.inp_proj_w, cur); + cur = ggml_add(ctx0, cur, model.inp_proj_b); + cb(cur, "inp_linear", -1); + + for (int il = 0; il < n_layer; il++) { + const auto & layer = model.layers[il]; + auto * residual = cur; + + // ffn1 (half-step) + { + auto * ffn1 = build_norm(cur, layer.ff_norm_w, layer.ff_norm_b, + NORM_TYPE_NORMAL, eps, il); + cb(ffn1, "ffn1_norm", il); + + ffn1 = build_ffn(ffn1, + layer.ff_up_w, layer.ff_up_b, + nullptr, nullptr, + layer.ff_down_w, layer.ff_down_b, + FFN_SILU, il); + cb(ffn1, "ffn1_out", il); + + residual = ggml_add(ctx0, residual, ggml_scale(ctx0, ffn1, 0.5f)); + cb(residual, "ffn1_residual", il); + } + + // build_attn not used here: Shaw RPE needs pos_attn = mul_mat(pos_emb, Q) + // injected between KQ product and softmax, which build_attn doesn't support + { + auto * normed = build_norm(residual, layer.ln_1_w, layer.ln_1_b, + NORM_TYPE_NORMAL, eps, il); + cb(normed, "attn_norm", il); + + if (n_frames < padded_len) { + normed = ggml_pad(ctx0, normed, 0, padded_len - n_frames, 0, 0); + } + + ggml_tensor * Q = build_mm(layer.q_w, normed); + ggml_tensor * K = build_mm(layer.k_w, normed); + ggml_tensor * V = build_mm(layer.v_w, normed); + + Q = ggml_reshape_4d(ctx0, Q, d_head, n_head, context_size, num_blocks); + K = ggml_reshape_4d(ctx0, K, d_head, n_head, context_size, num_blocks); + V = ggml_reshape_4d(ctx0, V, d_head, n_head, context_size, num_blocks); + + ggml_tensor * Q_perm = ggml_permute(ctx0, Q, 0, 2, 1, 3); + ggml_tensor * K_perm = ggml_cont(ctx0, ggml_permute(ctx0, K, 0, 2, 1, 3)); + + ggml_tensor * kq = ggml_mul_mat(ctx0, K_perm, Q_perm); + + // Shaw RPE: pos_emb ne[2]=1 broadcasts against Q ne[2]=num_blocks in mul_mat + ggml_tensor * pos_emb = ggml_get_rows(ctx0, layer.attn_rel_pos_emb, attn_dists); + pos_emb = ggml_reshape_3d(ctx0, pos_emb, d_head, context_size, context_size); + pos_emb = ggml_reshape_4d(ctx0, pos_emb, d_head, context_size, 1, context_size); + + ggml_tensor * Q_shaw = ggml_permute(ctx0, Q, 0, 1, 3, 2); + ggml_tensor * pos_attn = ggml_mul_mat(ctx0, pos_emb, Q_shaw); + pos_attn = ggml_cont(ctx0, ggml_permute(ctx0, pos_attn, 0, 2, 3, 1)); + + ggml_tensor * scores = ggml_add(ctx0, kq, pos_attn); + ggml_tensor * attn_weights = ggml_soft_max_ext(ctx0, scores, attn_mask, + kq_scale, 0.0f); + + ggml_tensor * V_perm = ggml_cont(ctx0, ggml_permute(ctx0, V, 1, 2, 0, 3)); + ggml_tensor * attn_out = ggml_mul_mat(ctx0, V_perm, attn_weights); + + attn_out = ggml_permute(ctx0, attn_out, 0, 2, 1, 3); + attn_out = ggml_cont_2d(ctx0, attn_out, n_embd, padded_len); + + if (n_frames < padded_len) { + attn_out = ggml_view_2d(ctx0, attn_out, + n_embd, n_frames, attn_out->nb[1], 0); + } + + cur = build_mm(layer.o_w, attn_out); + cur = ggml_add(ctx0, cur, layer.o_b); + cb(cur, "attn_out", il); + } + + residual = ggml_add(ctx0, residual, cur); + + // conv module + { + cur = build_norm(residual, layer.norm_conv_w, layer.norm_conv_b, + NORM_TYPE_NORMAL, eps, il); + cb(cur, "conv_norm", il); + + auto * x = build_mm(layer.conv_pw1_w, cur); + x = ggml_add(ctx0, x, layer.conv_pw1_b); + cb(x, "conv_pw1", il); + + // GLU: ggml has no fused op, manual split + sigmoid gate + { + int64_t d = x->ne[0] / 2; + ggml_tensor * gate = ggml_sigmoid(ctx0, + ggml_view_2d(ctx0, x, d, x->ne[1], x->nb[1], d * x->nb[0])); + x = ggml_mul(ctx0, + ggml_view_2d(ctx0, x, d, x->ne[1], x->nb[1], 0), gate); + x = ggml_cont(ctx0, ggml_transpose(ctx0, x)); + } + cb(x, "conv_glu", il); + + x = ggml_pad(ctx0, x, conv_pad, 0, 0, 0); + x = ggml_roll(ctx0, x, conv_pad, 0, 0, 0); + x = ggml_pad(ctx0, x, conv_pad, 0, 0, 0); + x = ggml_ssm_conv(ctx0, x, layer.conv_dw_w); + cb(x, "conv_dw", il); + + // folded batch norm + x = ggml_add(ctx0, ggml_mul(ctx0, x, layer.conv_norm_w), layer.conv_norm_b); + x = ggml_silu(ctx0, x); + cb(x, "conv_bn_silu", il); + + x = build_mm(layer.conv_pw2_w, x); + x = ggml_add(ctx0, x, layer.conv_pw2_b); + cb(x, "conv_pw2", il); + + cur = x; + } + + residual = ggml_add(ctx0, residual, cur); + + // ffn2 (half-step) + { + auto * ffn2 = build_norm(residual, layer.ff_norm_1_w, layer.ff_norm_1_b, + NORM_TYPE_NORMAL, eps, il); + cb(ffn2, "ffn2_norm", il); + + ffn2 = build_ffn(ffn2, + layer.ff_up_1_w, layer.ff_up_1_b, + nullptr, nullptr, + layer.ff_down_1_w, layer.ff_down_1_b, + FFN_SILU, il); + cb(ffn2, "ffn2_out", il); + + residual = ggml_add(ctx0, residual, ggml_scale(ctx0, ffn2, 0.5f)); + } + + cur = build_norm(residual, layer.ln_2_w, layer.ln_2_b, + NORM_TYPE_NORMAL, eps, il); + cb(cur, "layer_out", il); + + // CTC branch + if (il + 1 == ctc_layer) { + auto * mid = build_mm(model.ctc_out_w, cur); + mid = ggml_add(ctx0, mid, model.ctc_out_b); + mid = ggml_soft_max(ctx0, mid); + mid = build_mm(model.ctc_out_mid_w, mid); + mid = ggml_add(ctx0, mid, model.ctc_out_mid_b); + cur = ggml_add(ctx0, cur, mid); + cb(cur, "ctc_branch", il); + } + } + + cb(cur, "encoder_out", -1); + + // QFormer projector + { + const int window_size = hparams.audio_proj_window_size; + const int num_queries = window_size / hparams.audio_proj_downsample_rate; + const int proj_n_head = hparams.audio_proj_head_count; + const int proj_d_head = n_embd / proj_n_head; + const float proj_kq_scale = 1.0f / sqrtf((float)proj_d_head); + const float proj_eps = 1e-12f; + const int nblocks_proj = (n_frames + window_size - 1) / window_size; + const int padded_proj = nblocks_proj * window_size; + + if (n_frames < padded_proj) { + cur = ggml_pad(ctx0, cur, 0, padded_proj - n_frames, 0, 0); + } + + ggml_tensor * enc_windows = ggml_reshape_3d(ctx0, cur, n_embd, window_size, nblocks_proj); + + ggml_tensor * queries = build_norm(model.qf_proj_query, + model.qf_proj_norm_w, model.qf_proj_norm_b, + NORM_TYPE_NORMAL, proj_eps, -1); + { + ggml_tensor * q_3d = ggml_reshape_3d(ctx0, queries, n_embd, num_queries, 1); + ggml_tensor * q_shape = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, + n_embd, num_queries, nblocks_proj); + queries = ggml_repeat(ctx0, q_3d, q_shape); + } + + for (int il = 0; il < (int)model.qf_proj_layers.size(); il++) { + const auto & pl = model.qf_proj_layers[il]; + + // self-attention + { + ggml_tensor * Q = ggml_add(ctx0, build_mm(pl.q_w, queries), pl.q_b); + ggml_tensor * K = ggml_add(ctx0, build_mm(pl.k_w, queries), pl.k_b); + ggml_tensor * V = ggml_add(ctx0, build_mm(pl.v_w, queries), pl.v_b); + + Q = ggml_reshape_4d(ctx0, Q, proj_d_head, proj_n_head, num_queries, nblocks_proj); + K = ggml_reshape_4d(ctx0, K, proj_d_head, proj_n_head, num_queries, nblocks_proj); + V = ggml_reshape_4d(ctx0, V, proj_d_head, proj_n_head, num_queries, nblocks_proj); + + ggml_tensor * sa_out = build_attn(pl.o_w, pl.o_b, + Q, K, V, nullptr, proj_kq_scale, il); + sa_out = ggml_reshape_3d(ctx0, sa_out, n_embd, num_queries, nblocks_proj); + + queries = build_norm(ggml_add(ctx0, sa_out, queries), + pl.ln_1_w, pl.ln_1_b, + NORM_TYPE_NORMAL, proj_eps, il); + } + + // cross-attention + { + ggml_tensor * Q = ggml_add(ctx0, build_mm(pl.cross_attn_q_w, queries), pl.cross_attn_q_b); + ggml_tensor * K = ggml_add(ctx0, build_mm(pl.cross_attn_k_w, enc_windows), pl.cross_attn_k_b); + ggml_tensor * V = ggml_add(ctx0, build_mm(pl.cross_attn_v_w, enc_windows), pl.cross_attn_v_b); + + Q = ggml_reshape_4d(ctx0, Q, proj_d_head, proj_n_head, num_queries, nblocks_proj); + K = ggml_reshape_4d(ctx0, K, proj_d_head, proj_n_head, window_size, nblocks_proj); + V = ggml_reshape_4d(ctx0, V, proj_d_head, proj_n_head, window_size, nblocks_proj); + + ggml_tensor * ca_out = build_attn(pl.cross_attn_o_w, pl.cross_attn_o_b, + Q, K, V, nullptr, proj_kq_scale, il); + ca_out = ggml_reshape_3d(ctx0, ca_out, n_embd, num_queries, nblocks_proj); + + queries = build_norm(ggml_add(ctx0, ca_out, queries), + pl.cross_attn_norm_w, pl.cross_attn_norm_b, + NORM_TYPE_NORMAL, proj_eps, il); + } + + // ffn + { + ggml_tensor * ffn_out = build_ffn(queries, + pl.ff_up_w, pl.ff_up_b, + nullptr, nullptr, + pl.ff_down_w, pl.ff_down_b, + FFN_GELU, il); + + queries = build_norm(ggml_add(ctx0, ffn_out, queries), + pl.ln_2_w, pl.ln_2_b, + NORM_TYPE_NORMAL, proj_eps, il); + } + } + + cur = ggml_reshape_2d(ctx0, queries, n_embd, num_queries * nblocks_proj); + cur = ggml_add(ctx0, build_mm(model.qf_proj_linear_w, cur), model.qf_proj_linear_b); + cb(cur, "projector_out", -1); + } + + ggml_build_forward_expand(gf, cur); + + return gf; +} diff --git a/tools/mtmd/models/mimovl.cpp b/tools/mtmd/models/mimovl.cpp new file mode 100644 index 0000000000..19db88f132 --- /dev/null +++ b/tools/mtmd/models/mimovl.cpp @@ -0,0 +1,209 @@ +#include "models.h" + +ggml_tensor * clip_graph_mimovl::build_mm(ggml_tensor * w, ggml_tensor * x) const { + ggml_tensor * cur = ggml_mul_mat(ctx0, w, x); + ggml_mul_mat_set_prec(cur, GGML_PREC_F32); + return cur; +} + +// MiMoVL vision tower for MiMo-V2.5 (non-Pro). Qwen2.5-VL-shaped ViT, except: +// 1. GQA in attention (32 Q / 8 KV heads, head_dim 64). +// 2. Per-head attention sinks on every windowed layer. The sinks adjust +// the softmax denominator (equivalently, a virtual extra K column with V=0), +// so they decay attention weight without contributing to the output. +// 3. Per-layer window-attention mode in hparams.wa_pattern_mode: +// -1 -> full, 0 -> row-window+sinks, 1 -> col-window+sinks. +// Col mode transposes the merge-unit grid on entry and restores +// it on exit. Both patch and rotary orderings are pre-computed +// host-side. +// 4. 1D banded sliding window (|q-k| > window_size -> -inf) as a +// single 2D mask broadcast across heads. +// 5. Per-block MLP biases. +ggml_cgraph * clip_graph_mimovl::build() { + GGML_ASSERT(model.patch_embeddings_0 != nullptr); + GGML_ASSERT(model.patch_embeddings_1 != nullptr); + GGML_ASSERT(model.class_embedding == nullptr); + GGML_ASSERT(hparams.n_head_kv > 0); + GGML_ASSERT(n_head % hparams.n_head_kv == 0); + GGML_ASSERT((int) hparams.wa_pattern_mode.size() == n_layer); + + const int batch_size = 1; + const int n_pos = n_patches; + const int n_head_kv = hparams.n_head_kv; + const int merge = hparams.n_merge > 0 ? hparams.n_merge : 2; + const int merge_unit = merge * merge; + const int n_units = n_pos / merge_unit; + GGML_ASSERT(n_units * merge_unit == n_pos); + + // MiMoVL has head_dim=64 with n_embd=1280, so n_embd is NOT n_head*head_dim + // (the base class's d_head = n_embd/n_head = 40 is wrong here). Derive + // head_dim from the fused QKV projection: rows = (n_head + 2*n_head_kv)*head_dim. + GGML_ASSERT(model.layers[0].qkv_w != nullptr); + const int qkv_rows = model.layers[0].qkv_w->ne[1]; + const int head_dim = qkv_rows / (n_head + 2 * n_head_kv); + GGML_ASSERT(head_dim * (n_head + 2 * n_head_kv) == qkv_rows); + const float attn_scale = 1.0f / std::sqrt((float) head_dim); + const int rope_n_dims = head_dim / 2; + int mrope_sections[4] = {rope_n_dims/2, rope_n_dims/2, 0, 0}; + + // Patch embed: Conv3D(kt=2) split into two Conv2D, then interleave-merge + // along the height axis to match the merge-tile token order. + ggml_tensor * inp_raw = build_inp_raw(); + ggml_tensor * inp = ggml_conv_2d(ctx0, model.patch_embeddings_0, inp_raw, + patch_size, patch_size, 0, 0, 1, 1); + { + ggml_tensor * inp_1 = ggml_conv_2d(ctx0, model.patch_embeddings_1, inp_raw, + patch_size, patch_size, 0, 0, 1, 1); + inp = ggml_add(ctx0, inp, inp_1); + + GGML_ASSERT(img.nx % (patch_size * 2) == 0); + GGML_ASSERT(img.ny % (patch_size * 2) == 0); + + inp = ggml_permute(ctx0, inp, 1, 2, 0, 3); // [w,h,c,b] -> [c,w,h,b] + inp = ggml_cont_4d(ctx0, inp, n_embd * 2, n_patches_x / 2, n_patches_y, batch_size); + inp = ggml_reshape_4d(ctx0, inp, n_embd * 2, n_patches_x / 2, 2, batch_size * (n_patches_y / 2)); + inp = ggml_permute(ctx0, inp, 0, 2, 1, 3); + inp = ggml_cont_3d(ctx0, inp, n_embd, n_patches_x * n_patches_y, batch_size); + } + cb(inp, "patch_embed", -1); + + ggml_tensor * positions_row = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_pos * 4); + ggml_set_name(positions_row, "mimovl_positions_row"); + ggml_set_input(positions_row); + + ggml_tensor * positions_col = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_pos * 4); + ggml_set_name(positions_col, "mimovl_positions_col"); + ggml_set_input(positions_col); + + // idx_col is the col-major merge-unit permutation. Take it as F32 so we can + // derive the inverse permutation in-graph via ggml_argsort; + // ggml_get_rows requires its index tensor to be I32, so cast back as well. + ggml_tensor * idx_col_f = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, n_units); + ggml_set_name(idx_col_f, "mimovl_idx_col"); + ggml_set_input(idx_col_f); + ggml_tensor * idx_col = ggml_cast(ctx0, idx_col_f, GGML_TYPE_I32); + ggml_tensor * idx_col_inv = ggml_argsort(ctx0, idx_col_f, GGML_SORT_ORDER_ASC); + + ggml_tensor * window_mask = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_pos, n_pos); + ggml_set_name(window_mask, "mimovl_window_mask"); + ggml_set_input(window_mask); + + ggml_tensor * window_mask_attn = (flash_attn_type == CLIP_FLASH_ATTN_TYPE_ENABLED) + ? ggml_cast(ctx0, window_mask, GGML_TYPE_F16) + : window_mask; + + // Reorder helper: permute patches at merge-unit granularity. The patch + // sequence is laid out as n_units groups of merge_unit (=4) consecutive + // patches; the row<->col transpose only permutes whole groups. We keep + // the per-group (h,w) ordering intact by reshaping to + // [n_embd*merge_unit, n_units] before ggml_get_rows. + auto reorder = [&](ggml_tensor * x, ggml_tensor * idx) { + ggml_tensor * y = ggml_reshape_2d(ctx0, x, n_embd * merge_unit, n_units); + y = ggml_get_rows(ctx0, y, idx); + return ggml_reshape_3d(ctx0, y, n_embd, n_pos, batch_size); + }; + + ggml_tensor * inpL = inp; + int prev_mode = -1; + + for (int il = 0; il < n_layer; il++) { + const auto & layer = model.layers[il]; + const int mode = hparams.wa_pattern_mode[il]; + const bool is_full = (mode == -1); + const bool is_col = (mode == 1); + + // Reorder transitions on entry/exit of a col-mode run. + if (is_col && prev_mode != 1) { + inpL = reorder(inpL, idx_col); + cb(inpL, "reorder_to_col", il); + } else if (!is_col && prev_mode == 1) { + inpL = reorder(inpL, idx_col_inv); + cb(inpL, "reorder_to_row", il); + } + + ggml_tensor * cur = inpL; + + // Pre-attention RMSNorm. + cur = build_norm(cur, layer.ln_1_w, layer.ln_1_b, NORM_TYPE_RMS, eps, il); + cb(cur, "ln1", il); + + // Fused QKV with GQA. + ggml_tensor * qkv = build_mm(layer.qkv_w, cur); + qkv = ggml_add(ctx0, qkv, layer.qkv_b); + + const size_t row = ggml_row_size(qkv->type, head_dim); + const size_t off_k = ggml_row_size(qkv->type, n_head * head_dim); + const size_t off_v = ggml_row_size(qkv->type, (n_head + n_head_kv) * head_dim); + + ggml_tensor * Qcur = ggml_view_3d(ctx0, qkv, head_dim, n_head, n_pos, row, qkv->nb[1], 0); + ggml_tensor * Kcur = ggml_view_3d(ctx0, qkv, head_dim, n_head_kv, n_pos, row, qkv->nb[1], off_k); + ggml_tensor * Vcur = ggml_view_3d(ctx0, qkv, head_dim, n_head_kv, n_pos, row, qkv->nb[1], off_v); + + cb(Qcur, "Qcur", il); + cb(Kcur, "Kcur", il); + cb(Vcur, "Vcur", il); + + // 2D RoPE + ggml_tensor * pos = is_col ? positions_col : positions_row; + Qcur = ggml_rope_multi(ctx0, Qcur, pos, nullptr, rope_n_dims, mrope_sections, GGML_ROPE_TYPE_VISION, 32768, 10000.0f, 1.0f, 0.0f, 1.0f, 32.0f, 1.0f); + Kcur = ggml_rope_multi(ctx0, Kcur, pos, nullptr, rope_n_dims, mrope_sections, GGML_ROPE_TYPE_VISION, 32768, 10000.0f, 1.0f, 0.0f, 1.0f, 32.0f, 1.0f); + cb(Qcur, "Qcur_rope", il); + cb(Kcur, "Kcur_rope", il); + + // Full layers: plain attention. Windowed layers: banded mask and per-head sinks. + ggml_tensor * mask = is_full ? nullptr : window_mask_attn; + ggml_tensor * sinks = is_full ? nullptr : layer.attn_sinks; + if (!is_full) { + GGML_ASSERT(layer.attn_sinks != nullptr); + } + ggml_tensor * attn_out = build_attn(layer.o_w, layer.o_b, Qcur, Kcur, Vcur, mask, attn_scale, il, sinks); + cb(attn_out, "attn_out", il); + + // Residual 1. + cur = ggml_add(ctx0, attn_out, inpL); + inpL = cur; + cb(cur, "ffn_inp", il); + + // Pre-FFN RMSNorm. + cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, NORM_TYPE_RMS, eps, il); + cb(cur, "ffn_inp_normed", il); + + // SwiGLU MLP with biases + cur = build_ffn(cur, + layer.ff_up_w, layer.ff_up_b, + layer.ff_gate_w, layer.ff_gate_b, + layer.ff_down_w, layer.ff_down_b, + hparams.ffn_op, il); + cb(cur, "ffn_out", il); + + // Residual 2. + cur = ggml_add(ctx0, inpL, cur); + cb(cur, "layer_out", il); + + inpL = cur; + prev_mode = mode; + } + + // If the last block was col-mode, undo the transpose so the merger sees patches in row order. + if (prev_mode == 1) { + inpL = reorder(inpL, idx_col_inv); + cb(inpL, "reorder_to_row_final", -1); + } + + // Merger: post-LayerNorm + inpL = build_norm(inpL, model.post_ln_w, model.post_ln_b, NORM_TYPE_NORMAL, 1e-6f, n_layer); + cb(inpL, "post_ln", -1); + + // Spatial merge: pack each merge_unit (=4) of patches into a single + // (n_embd*merge_unit)-wide row, then run the 2-layer MLP. + ggml_tensor * embeddings = ggml_reshape_3d(ctx0, inpL, n_embd * merge_unit, n_units, batch_size); + embeddings = build_ffn(embeddings, + model.mm_0_w, nullptr, + nullptr, nullptr, + model.mm_1_w, nullptr, + FFN_GELU, -1); + cb(embeddings, "vit_out", -1); + + ggml_build_forward_expand(gf, embeddings); + return gf; +} diff --git a/tools/mtmd/models/minicpmv.cpp b/tools/mtmd/models/minicpmv.cpp index 924117ab2a..bac087ffdf 100644 --- a/tools/mtmd/models/minicpmv.cpp +++ b/tools/mtmd/models/minicpmv.cpp @@ -112,3 +112,294 @@ ggml_cgraph * clip_graph_minicpmv::build() { return gf; } + +ggml_cgraph * clip_graph_minicpmv4_6::build() { + const int insert_lid = hparams.insert_layer_id; + const int n_pos = n_patches; + const int half_h = n_patches_y / 2; + const int half_w = n_patches_x / 2; + const int n_ds = half_h * half_w; // after ViT merger 2x2 downsample + const int qh = half_h / 2; + const int qw = half_w / 2; + const int n_ds2 = qh * qw; // after final merger 2x2 downsample + + auto add_i32_input = [&](const char * name, int n) { + ggml_tensor * t = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n); + ggml_set_name(t, name); + ggml_set_input(t); + return t; + }; + + // position indices for ViT learned positional embeddings + ggml_tensor * positions = add_i32_input("positions", n_pos); + ggml_tensor * learned_pos_embd = ggml_get_rows(ctx0, model.position_embeddings, positions); + + // ViT merger window reorder indices + block-diagonal mask + // (mask layout follows qwen2vl: -inf except for 4x4 blocks on the diagonal, + // so each window-major group of 4 tokens only attends to itself) + ggml_tensor * vit_merger_window_idx = add_i32_input("vit_merger_window_idx", n_pos); + ggml_tensor * vit_merger_inv_window_idx = add_i32_input("vit_merger_inv_window_idx", n_pos); + ggml_tensor * vit_merger_window_mask = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_pos, n_pos); + ggml_set_name(vit_merger_window_mask, "vit_merger_window_mask"); + ggml_set_input(vit_merger_window_mask); + if (flash_attn_type == CLIP_FLASH_ATTN_TYPE_ENABLED) { + vit_merger_window_mask = ggml_cast(ctx0, vit_merger_window_mask, GGML_TYPE_F16); + } + + // ViT merger 2x2 downsample gather indices + ggml_tensor * vit_merger_ds_idx_0 = add_i32_input("vit_merger_ds_idx_0", n_ds); + ggml_tensor * vit_merger_ds_idx_1 = add_i32_input("vit_merger_ds_idx_1", n_ds); + ggml_tensor * vit_merger_ds_idx_2 = add_i32_input("vit_merger_ds_idx_2", n_ds); + ggml_tensor * vit_merger_ds_idx_3 = add_i32_input("vit_merger_ds_idx_3", n_ds); + + // final merger 2x2 downsample gather indices + ggml_tensor * merger_ds_idx_0 = add_i32_input("merger_ds_idx_0", n_ds2); + ggml_tensor * merger_ds_idx_1 = add_i32_input("merger_ds_idx_1", n_ds2); + ggml_tensor * merger_ds_idx_2 = add_i32_input("merger_ds_idx_2", n_ds2); + ggml_tensor * merger_ds_idx_3 = add_i32_input("merger_ds_idx_3", n_ds2); + + // patch embedding + positional embedding + ggml_tensor * inp = build_inp(); + inp = ggml_add(ctx0, inp, learned_pos_embd); + cb(inp, "pos_embed", -1); + + ggml_tensor * inpL = inp; + if (model.pre_ln_w) { + inpL = build_norm(inpL, model.pre_ln_w, model.pre_ln_b, NORM_TYPE_NORMAL, eps, -1); + cb(inpL, "pre_ln", -1); + } + + // ViT layers 0..insert_layer_id (inclusive) + // Mirrors the separate-qkv path of clip_graph::build_vit so the two manually + // unrolled segments around the ViT merger read like build_vit() expansions. + for (int il = 0; il <= insert_lid; il++) { + auto & layer = model.layers[il]; + ggml_tensor * cur = inpL; + + cur = build_norm(cur, layer.ln_1_w, layer.ln_1_b, NORM_TYPE_NORMAL, eps, il); + cb(cur, "layer_inp_normed", il); + + { + ggml_tensor * Qcur = build_mm(layer.q_w, cur); + if (layer.q_b) { + Qcur = ggml_add(ctx0, Qcur, layer.q_b); + } + ggml_tensor * Kcur = build_mm(layer.k_w, cur); + if (layer.k_b) { + Kcur = ggml_add(ctx0, Kcur, layer.k_b); + } + ggml_tensor * Vcur = build_mm(layer.v_w, cur); + if (layer.v_b) { + Vcur = ggml_add(ctx0, Vcur, layer.v_b); + } + + Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos); + Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos); + Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos); + cb(Qcur, "Qcur", il); + cb(Kcur, "Kcur", il); + cb(Vcur, "Vcur", il); + + cur = build_attn(layer.o_w, layer.o_b, Qcur, Kcur, Vcur, nullptr, kq_scale, il); + cb(cur, "attn_out", il); + } + + if (layer.ls_1_w) { + cur = ggml_mul(ctx0, cur, layer.ls_1_w); + cb(cur, "attn_out_scaled", il); + } + cur = ggml_add(ctx0, cur, inpL); + inpL = cur; + cb(cur, "ffn_inp", il); + + cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, NORM_TYPE_NORMAL, eps, il); + cb(cur, "ffn_inp_normed", il); + + cur = build_ffn(cur, layer.ff_up_w, layer.ff_up_b, layer.ff_gate_w, layer.ff_gate_b, + layer.ff_down_w, layer.ff_down_b, hparams.ffn_op, il); + cb(cur, "ffn_out", il); + + if (layer.ls_2_w) { + cur = ggml_mul(ctx0, cur, layer.ls_2_w); + cb(cur, "ffn_out_scaled", il); + } + cur = ggml_add(ctx0, inpL, cur); + cb(cur, "layer_out", il); + + inpL = cur; + } + + // ViT merger: window self-attention + // Tokens are reordered to window-major (4 tokens per window are contiguous), + // and a block-diagonal mask restricts attention to within each window. This + // mirrors the qwen2vl windowed-attention pattern so build_attn() can pick the + // flash-attention path when available. + { + ggml_tensor * residual = inpL; + ggml_tensor * cur = build_norm(inpL, + model.vit_merger_ln1_w, model.vit_merger_ln1_b, + NORM_TYPE_NORMAL, eps, -1); + cb(cur, "vit_merger_attn_inp_normed", -1); + + cur = ggml_get_rows(ctx0, cur, vit_merger_window_idx); + cb(cur, "vit_merger_window_reorder", -1); + + ggml_tensor * Qcur = build_mm(model.vit_merger_attn_q_w, cur); + if (model.vit_merger_attn_q_b) { + Qcur = ggml_add(ctx0, Qcur, model.vit_merger_attn_q_b); + } + ggml_tensor * Kcur = build_mm(model.vit_merger_attn_k_w, cur); + if (model.vit_merger_attn_k_b) { + Kcur = ggml_add(ctx0, Kcur, model.vit_merger_attn_k_b); + } + ggml_tensor * Vcur = build_mm(model.vit_merger_attn_v_w, cur); + if (model.vit_merger_attn_v_b) { + Vcur = ggml_add(ctx0, Vcur, model.vit_merger_attn_v_b); + } + + Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos); + Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos); + Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos); + cb(Qcur, "vit_merger_Qcur", -1); + cb(Kcur, "vit_merger_Kcur", -1); + cb(Vcur, "vit_merger_Vcur", -1); + + cur = build_attn(model.vit_merger_attn_o_w, model.vit_merger_attn_o_b, + Qcur, Kcur, Vcur, vit_merger_window_mask, kq_scale, -1); + cb(cur, "vit_merger_attn_out", -1); + + cur = ggml_get_rows(ctx0, cur, vit_merger_inv_window_idx); + inpL = ggml_add(ctx0, cur, residual); + cb(inpL, "vit_merger_attn_residual", -1); + } + + // ViT merger: 2x2 spatial downsample + MLP (4 tokens -> 1) + { + ggml_tensor * p0 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_0); + ggml_tensor * p1 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_1); + ggml_tensor * p2 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_2); + ggml_tensor * p3 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_3); + + ggml_tensor * mean_res = ggml_add(ctx0, p0, p1); + mean_res = ggml_add(ctx0, mean_res, p2); + mean_res = ggml_add(ctx0, mean_res, p3); + mean_res = ggml_scale(ctx0, mean_res, 0.25f); + cb(mean_res, "vit_merger_ds_mean_res", -1); + + ggml_tensor * cat = ggml_concat(ctx0, p0, p1, 0); + cat = ggml_concat(ctx0, cat, p2, 0); + cat = ggml_concat(ctx0, cat, p3, 0); + + ggml_tensor * cur = build_norm(cat, + model.vit_merger_ds_ln_w, model.vit_merger_ds_ln_b, + NORM_TYPE_NORMAL, eps, -1); + cb(cur, "vit_merger_ds_normed", -1); + + // ViTWindowAttentionMerger downsample MLP uses gelu_pytorch_tanh (FFN_GELU) + cur = build_ffn(cur, + model.vit_merger_ds_up_w, model.vit_merger_ds_up_b, + nullptr, nullptr, + model.vit_merger_ds_down_w, model.vit_merger_ds_down_b, + FFN_GELU, -1); + cb(cur, "vit_merger_ds_mlp_out", -1); + + inpL = ggml_add(ctx0, cur, mean_res); + cb(inpL, "vit_merger_ds_out", -1); + } + + // ViT layers (insert_layer_id+1)..n_layer-1, operating on the downsampled tokens + { + const int64_t n_pos_ds = n_ds; + for (int il = insert_lid + 1; il < n_layer; il++) { + auto & layer = model.layers[il]; + ggml_tensor * cur = inpL; + + cur = build_norm(cur, layer.ln_1_w, layer.ln_1_b, NORM_TYPE_NORMAL, eps, il); + cb(cur, "layer_inp_normed", il); + + { + ggml_tensor * Qcur = build_mm(layer.q_w, cur); + if (layer.q_b) { + Qcur = ggml_add(ctx0, Qcur, layer.q_b); + } + ggml_tensor * Kcur = build_mm(layer.k_w, cur); + if (layer.k_b) { + Kcur = ggml_add(ctx0, Kcur, layer.k_b); + } + ggml_tensor * Vcur = build_mm(layer.v_w, cur); + if (layer.v_b) { + Vcur = ggml_add(ctx0, Vcur, layer.v_b); + } + + Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos_ds); + Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos_ds); + Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos_ds); + cb(Qcur, "Qcur", il); + cb(Kcur, "Kcur", il); + cb(Vcur, "Vcur", il); + + cur = build_attn(layer.o_w, layer.o_b, Qcur, Kcur, Vcur, nullptr, kq_scale, il); + cb(cur, "attn_out", il); + } + + if (layer.ls_1_w) { + cur = ggml_mul(ctx0, cur, layer.ls_1_w); + cb(cur, "attn_out_scaled", il); + } + cur = ggml_add(ctx0, cur, inpL); + inpL = cur; + cb(cur, "ffn_inp", il); + + cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, NORM_TYPE_NORMAL, eps, il); + cb(cur, "ffn_inp_normed", il); + + cur = build_ffn(cur, layer.ff_up_w, layer.ff_up_b, layer.ff_gate_w, layer.ff_gate_b, + layer.ff_down_w, layer.ff_down_b, hparams.ffn_op, il); + cb(cur, "ffn_out", il); + + if (layer.ls_2_w) { + cur = ggml_mul(ctx0, cur, layer.ls_2_w); + cb(cur, "ffn_out_scaled", il); + } + cur = ggml_add(ctx0, inpL, cur); + cb(cur, "layer_out", il); + + inpL = cur; + } + } + + if (model.post_ln_w) { + inpL = build_norm(inpL, model.post_ln_w, model.post_ln_b, NORM_TYPE_NORMAL, eps, -1); + cb(inpL, "post_ln", -1); + } + + // Final Merger (DownsampleMLP): another 2x2 spatial merge -> projector embedding + { + ggml_tensor * p0 = ggml_get_rows(ctx0, inpL, merger_ds_idx_0); + ggml_tensor * p1 = ggml_get_rows(ctx0, inpL, merger_ds_idx_1); + ggml_tensor * p2 = ggml_get_rows(ctx0, inpL, merger_ds_idx_2); + ggml_tensor * p3 = ggml_get_rows(ctx0, inpL, merger_ds_idx_3); + + ggml_tensor * cat = ggml_concat(ctx0, p0, p1, 0); + cat = ggml_concat(ctx0, cat, p2, 0); + cat = ggml_concat(ctx0, cat, p3, 0); + + ggml_tensor * cur = build_norm(cat, + model.mm_input_norm_w, model.mm_input_norm_b, + NORM_TYPE_NORMAL, eps, -1); + cb(cur, "merger_normed", -1); + + // MiniCPMV4_6DownsampleMLP uses nn.GELU() (erf-based, FFN_GELU_ERF) + cur = build_ffn(cur, + model.mm_ffn_up_w, model.mm_ffn_up_b, + nullptr, nullptr, + model.mm_ffn_down_w, model.mm_ffn_down_b, + FFN_GELU_ERF, -1); + cb(cur, "merger_out", -1); + + inpL = cur; + } + + ggml_build_forward_expand(gf, inpL); + return gf; +} diff --git a/tools/mtmd/models/models.h b/tools/mtmd/models/models.h index c30d79133e..955daa6d6d 100644 --- a/tools/mtmd/models/models.h +++ b/tools/mtmd/models/models.h @@ -33,6 +33,15 @@ struct clip_graph_qwen3vl : clip_graph { ggml_cgraph * build() override; }; +struct clip_graph_mimovl : clip_graph { + clip_graph_mimovl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {} + ggml_cgraph * build() override; + // Force F32 mat-mul accumulation to avoid F16 overflow in the FFN down-proj + // when the mmproj is stored in F16 (the source weights are BF16; downcasting + // to F16 reduces dynamic range below the SwiGLU output magnitude on the last few layers). + ggml_tensor * build_mm(ggml_tensor * w, ggml_tensor * x) const override; +}; + struct clip_graph_step3vl : clip_graph { clip_graph_step3vl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {} ggml_cgraph * build() override; @@ -56,6 +65,11 @@ struct clip_graph_minicpmv : clip_graph { ggml_cgraph * build() override; }; +struct clip_graph_minicpmv4_6 : clip_graph { + clip_graph_minicpmv4_6(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {} + ggml_cgraph * build() override; +}; + struct clip_graph_internvl : clip_graph { clip_graph_internvl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {} ggml_cgraph * build() override; @@ -111,6 +125,11 @@ struct clip_graph_conformer : clip_graph { ggml_cgraph * build() override; }; +struct clip_graph_granite_speech : clip_graph { + clip_graph_granite_speech(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {} + ggml_cgraph * build() override; +}; + struct clip_graph_gemma4a : clip_graph { clip_graph_gemma4a(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {} ggml_cgraph * build() override; diff --git a/tools/mtmd/mtmd-audio.cpp b/tools/mtmd/mtmd-audio.cpp index 38a8ce4f4a..8f0a9875b1 100644 --- a/tools/mtmd/mtmd-audio.cpp +++ b/tools/mtmd/mtmd-audio.cpp @@ -403,6 +403,11 @@ static bool log_mel_spectrogram( return false; } std::reverse_copy(samples + 1, samples + 1 + stage_2_pad, samples_padded.begin()); + + // expose the padded buffer to downstream FFT and to out.n_len computation + // mirrors the no_padding and center_padding branches above + samples = samples_padded.data(); + n_samples = samples_padded.size(); } // preemphasis @@ -650,6 +655,108 @@ bool mtmd_audio_preprocessor_conformer::preprocess(const float * return true; } +// +// mtmd_audio_preprocessor_granite_speech +// + +void mtmd_audio_preprocessor_granite_speech::initialize() { + cache.fill_sin_cos_table(hparams.audio_n_fft); + cache.fill_hann_window(hparams.audio_window_len, true); + cache.fill_mel_filterbank_matrix( + hparams.n_mel_bins / 2, hparams.audio_n_fft, hparams.audio_sample_rate, + 0.0f, -1.0f, false, 1.0f, true); +} + +bool mtmd_audio_preprocessor_granite_speech::preprocess(const float * samples, + size_t n_samples, + std::vector & output) { + if (n_samples == 0) { + return false; + } + + GGML_ASSERT(!cache.sin_vals.empty()); + GGML_ASSERT(!cache.cos_vals.empty()); + GGML_ASSERT(!cache.filters.data.empty()); + + const int n_fft = hparams.audio_n_fft; + const int pad = n_fft / 2; + + // reflect padding + const int n_padded = (int)n_samples + 2 * pad; + std::vector padded(n_padded, 0.0f); + std::copy(samples, samples + n_samples, padded.data() + pad); + for (int i = 0; i < pad; i++) { + int src = i + 1; + if (src >= (int)n_samples) { + src = (int)n_samples - 1; + } + padded[pad - 1 - i] = samples[src]; + } + for (int i = 0; i < pad; i++) { + int src = (int)n_samples - 2 - i; + if (src < 0) { + src = 0; + } + padded[pad + (int)n_samples + i] = samples[src]; + } + + filter_params params; + params.n_mel = hparams.n_mel_bins / 2; + params.n_fft_bins = 1 + (n_fft / 2); + params.hann_window_size = hparams.audio_window_len; + params.hop_length = hparams.audio_hop_len; + params.sample_rate = hparams.audio_sample_rate; + params.no_padding = true; + params.center_padding = false; + params.preemph = 0.0f; + params.use_natural_log = false; + params.norm_per_feature = false; + params.mel_floor = 1e-10f; + + mtmd_audio_mel mel; + if (!log_mel_spectrogram(padded.data(), n_padded, 4, params, cache, mel)) { + return false; + } + + double mmax = -1e20; + for (int i = 0; i < mel.n_mel * mel.n_len; i++) { + if (mel.data[i] > mmax) { + mmax = mel.data[i]; + } + } + mmax -= 8.0; + + for (int i = 0; i < mel.n_mel * mel.n_len; i++) { + if (mel.data[i] < mmax) { + mel.data[i] = mmax; + } + mel.data[i] = (mel.data[i] + 4.0) / 4.0; + } + + int n_frames = mel.n_len; + if (n_frames % 2 == 1) { + n_frames--; + } + const int n_mel = mel.n_mel; + const int n_stacked = n_frames / 2; + + mtmd_audio_mel stacked; + stacked.n_mel = 2 * n_mel; + stacked.n_len = n_stacked; + stacked.n_len_org = (int)n_samples; + stacked.data.resize(2 * n_mel * n_stacked); + + for (int t = 0; t < n_stacked; t++) { + for (int m = 0; m < n_mel; m++) { + stacked.data[m * n_stacked + t] = mel.data[m * mel.n_len + 2 * t]; + stacked.data[(m + n_mel) * n_stacked + t] = mel.data[m * mel.n_len + 2 * t + 1]; + } + } + + output.push_back(std::move(stacked)); + return true; +} + // // mtmd_audio_preprocessor_gemma4a // diff --git a/tools/mtmd/mtmd-audio.h b/tools/mtmd/mtmd-audio.h index efaa14f924..c1a705de52 100644 --- a/tools/mtmd/mtmd-audio.h +++ b/tools/mtmd/mtmd-audio.h @@ -78,6 +78,15 @@ struct mtmd_audio_preprocessor_conformer : mtmd_audio_preprocessor { mtmd_audio_cache cache; }; +struct mtmd_audio_preprocessor_granite_speech : mtmd_audio_preprocessor { + mtmd_audio_preprocessor_granite_speech(const clip_ctx * ctx) : mtmd_audio_preprocessor(ctx) {} + void initialize() override; + bool preprocess(const float * samples, size_t n_samples, std::vector & output) override; + + private: + mtmd_audio_cache cache; +}; + struct mtmd_audio_preprocessor_gemma4a : mtmd_audio_preprocessor { mtmd_audio_preprocessor_gemma4a(const clip_ctx * ctx) : mtmd_audio_preprocessor(ctx) {} void initialize() override; diff --git a/tools/mtmd/mtmd-cli.cpp b/tools/mtmd/mtmd-cli.cpp index be958bd175..d6e551618e 100644 --- a/tools/mtmd/mtmd-cli.cpp +++ b/tools/mtmd/mtmd-cli.cpp @@ -295,6 +295,8 @@ int main(int argc, char ** argv) { return 1; } + ggml_backend_load_all(); + mtmd_cli_context ctx(params); LOG_INF("%s: loading model: %s\n", __func__, params.model.path.c_str()); diff --git a/tools/mtmd/mtmd-image.cpp b/tools/mtmd/mtmd-image.cpp index c1a3601178..1b058e0260 100644 --- a/tools/mtmd/mtmd-image.cpp +++ b/tools/mtmd/mtmd-image.cpp @@ -584,7 +584,9 @@ bool mtmd_image_preprocessor_llava_uhd::preprocess(const clip_image_u8 & img, cl mtmd_image_preprocessor_llava_uhd::slice_instructions mtmd_image_preprocessor_llava_uhd::get_slice_instructions(const clip_image_size & original_size) { mtmd_image_preprocessor_llava_uhd::slice_instructions res; - const int patch_size = hparams.patch_size; + // align slices by patch_size * n_merge so an integer number of merger output tokens fits per slice + const int n_merge = hparams.n_merge > 0 ? hparams.n_merge : 1; + const int patch_size = hparams.patch_size * n_merge; const int slice_size = hparams.image_size; const int original_width = original_size.width; const int original_height = original_size.height; diff --git a/tools/mtmd/mtmd.cpp b/tools/mtmd/mtmd.cpp index 5990778678..1ab8a4c046 100644 --- a/tools/mtmd/mtmd.cpp +++ b/tools/mtmd/mtmd.cpp @@ -310,9 +310,22 @@ struct mtmd_context { } image_preproc = std::make_unique(ctx_v); } break; + case PROJECTOR_TYPE_MINICPMV4_6: + { + slice_tmpl = MTMD_SLICE_TMPL_MINICPMV_2_6; + tok_ov_img_start = {lookup_token("")}; + tok_ov_img_end = {lookup_token("")}; + tok_sli_img_start = {lookup_token("")}; + tok_sli_img_end = {lookup_token("")}; + tok_row_end = {lookup_token("\n")}; + tok_row_end_trail = false; // no trailing end-of-row token + ov_img_first = true; + image_preproc = std::make_unique(ctx_v); + } break; case PROJECTOR_TYPE_QWEN2VL: case PROJECTOR_TYPE_QWEN25VL: case PROJECTOR_TYPE_QWEN3VL: + case PROJECTOR_TYPE_MIMOVL: { // <|vision_start|> ... (image embeddings) ... <|vision_end|> img_beg = "<|vision_start|>"; @@ -532,6 +545,10 @@ struct mtmd_context { { audio_preproc = std::make_unique(ctx_a); } break; + case PROJECTOR_TYPE_GRANITE_SPEECH: + { + audio_preproc = std::make_unique(ctx_a); + } break; case PROJECTOR_TYPE_GEMMA4A: { aud_beg = "<|audio>"; @@ -1406,6 +1423,19 @@ void mtmd_log_set(ggml_log_callback log_callback, void * user_data) { g_logger_state.log_callback_user_data = user_data; } +struct mtmd_caps mtmd_get_cap_from_file(const char * fname) { + try { + auto tmp = clip_get_cap(fname); + mtmd_caps cap; + cap.inp_audio = tmp.has_audio; + cap.inp_vision = tmp.has_vision; + return cap; + } catch (const std::exception & e) { + LOG_ERR("%s: failed to get capabilities from file '%s': %s\n", __func__, fname, e.what()); + return mtmd_caps{ false, false }; + } +} + // // Debugging API (NOT intended for public use) // diff --git a/tools/mtmd/mtmd.h b/tools/mtmd/mtmd.h index e364174b82..54b9515a3e 100644 --- a/tools/mtmd/mtmd.h +++ b/tools/mtmd/mtmd.h @@ -244,6 +244,14 @@ MTMD_API float * mtmd_get_output_embd(mtmd_context * ctx); // If this is not called, or NULL is supplied, everything is output on stderr. MTMD_API void mtmd_log_set(ggml_log_callback log_callback, void * user_data); +// EXPERIMENTAL API to get mmproj's capabilities without initializing the full context +// This is only intended to be used by llama-server, breaking changes is expected +struct mtmd_caps { + bool inp_vision; + bool inp_audio; +}; +MTMD_API struct mtmd_caps mtmd_get_cap_from_file(const char * mmproj_fname); + ///////////////////////////////////////// // test function, to be used in test-mtmd-c-api.c diff --git a/tools/server/README.md b/tools/server/README.md index db1f270390..07e180929e 100644 --- a/tools/server/README.md +++ b/tools/server/README.md @@ -72,6 +72,7 @@ For the full list of features, please refer to [server's changelog](https://gith | `-ctk, --cache-type-k TYPE` | KV cache data type for K
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_K) | | `-ctv, --cache-type-v TYPE` | KV cache data type for V
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_V) | | `-dt, --defrag-thold N` | KV cache defragmentation threshold (DEPRECATED)
(env: LLAMA_ARG_DEFRAG_THOLD) | +| `--rpc SERVERS` | comma-separated list of RPC servers (host:port)
(env: LLAMA_ARG_RPC) | | `--mlock` | force system to keep model in RAM rather than swapping or compressing
(env: LLAMA_ARG_MLOCK) | | `--mmap, --no-mmap` | whether to memory-map model. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: enabled)
(env: LLAMA_ARG_MMAP) | | `-dio, --direct-io, -ndio, --no-direct-io` | use DirectIO if available. (default: disabled)
(env: LLAMA_ARG_DIO) | @@ -82,7 +83,7 @@ For the full list of features, please refer to [server's changelog](https://gith | `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU
(env: LLAMA_ARG_CPU_MOE) | | `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU
(env: LLAMA_ARG_N_CPU_MOE) | | `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
(env: LLAMA_ARG_N_GPU_LAYERS) | -| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:
- none: use one GPU only
- layer (default): split layers and KV across GPUs
- row: split rows across GPUs
(env: LLAMA_ARG_SPLIT_MODE) | +| `-sm, --split-mode {none,layer,row,tensor}` | how to split the model across multiple GPUs, one of:
- none: use one GPU only
- layer (default): split layers and KV across GPUs (pipelined)
- row: split weight across GPUs by rows (parallelized)
- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)
(env: LLAMA_ARG_SPLIT_MODE) | | `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1
(env: LLAMA_ARG_TENSOR_SPLIT) | | `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)
(env: LLAMA_ARG_MAIN_GPU) | | `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')
(env: LLAMA_ARG_FIT) | @@ -100,7 +101,6 @@ For the full list of features, please refer to [server's changelog](https://gith | `-mu, --model-url MODEL_URL` | model download url (default: unused)
(env: LLAMA_ARG_MODEL_URL) | | `-dr, --docker-repo [/][:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.
example: gemma3
(default: unused)
(env: LLAMA_ARG_DOCKER_REPO) | | `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to disable, add --no-mmproj
example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M
(default: unused)
(env: LLAMA_ARG_HF_REPO) | -| `-hfd, -hfrd, --hf-repo-draft /[:quant]` | Same as --hf-repo, but for the draft model (default: unused)
(env: LLAMA_ARG_HFD_REPO) | | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)
(env: LLAMA_ARG_HF_FILE) | | `-hfv, -hfrv, --hf-repo-v /[:quant]` | Hugging Face model repository for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_REPO_V) | | `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_FILE_V) | @@ -113,8 +113,8 @@ For the full list of features, please refer to [server's changelog](https://gith | `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:
- 0: generic output
- 1: error
- 2: warning
- 3: info
- 4: debug
(default: 3)

(env: LLAMA_LOG_VERBOSITY) | | `--log-prefix` | Enable prefix in log messages
(env: LLAMA_LOG_PREFIX) | | `--log-timestamps` | Enable timestamps in log messages
(env: LLAMA_LOG_TIMESTAMPS) | -| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) | -| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) | +| `--spec-draft-type-k, -ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_K) | +| `--spec-draft-type-v, -ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model
allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
(default: f16)
(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_V) | ### Sampling params @@ -182,9 +182,6 @@ For the full list of features, please refer to [server's changelog](https://gith | `--mmproj-offload, --no-mmproj-offload` | whether to enable GPU offloading for multimodal projector (default: enabled)
(env: LLAMA_ARG_MMPROJ_OFFLOAD) | | `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)
(env: LLAMA_ARG_IMAGE_MIN_TOKENS) | | `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)
(env: LLAMA_ARG_IMAGE_MAX_TOKENS) | -| `-otd, --override-tensor-draft =,...` | override tensor buffer type for draft model | -| `-cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model
(env: LLAMA_ARG_CPU_MOE_DRAFT) | -| `-ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model
(env: LLAMA_ARG_N_CPU_MOE_DRAFT) | | `-a, --alias STRING` | set model name aliases, comma-separated (to be used by API)
(env: LLAMA_ARG_ALIAS) | | `--tags STRING` | set model tags, comma-separated (informational, not used for routing)
(env: LLAMA_ARG_TAGS) | | `--host HOST` | ip address to listen, or bind to an UNIX socket if the address ends with .sock (default: 127.0.0.1)
(env: LLAMA_ARG_HOST) | @@ -195,7 +192,7 @@ For the full list of features, please refer to [server's changelog](https://gith | `--webui-config JSON` | JSON that provides default WebUI settings (overrides WebUI defaults)
(env: LLAMA_ARG_WEBUI_CONFIG) | | `--webui-config-file PATH` | JSON file that provides default WebUI settings (overrides WebUI defaults)
(env: LLAMA_ARG_WEBUI_CONFIG_FILE) | | `--webui-mcp-proxy, --no-webui-mcp-proxy` | experimental: whether to enable MCP CORS proxy - do not enable in untrusted environments (default: disabled)
(env: LLAMA_ARG_WEBUI_MCP_PROXY) | -| `--tools TOOL1,TOOL2,...` | experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)
specify "all" to enable all tools
available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff
(env: LLAMA_ARG_TOOLS) | +| `--tools TOOL1,TOOL2,...` | experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)
specify "all" to enable all tools
available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff, get_datetime
(env: LLAMA_ARG_TOOLS) | | `--webui, --no-webui` | whether to enable the Web UI (default: enabled)
(env: LLAMA_ARG_WEBUI) | | `--embedding, --embeddings` | restrict to only support embedding use case; use only with dedicated embedding models (default: disabled)
(env: LLAMA_ARG_EMBEDDINGS) | | `--rerank, --reranking` | enable reranking endpoint on server (default: disabled)
(env: LLAMA_ARG_RERANKING) | @@ -222,27 +219,53 @@ For the full list of features, please refer to [server's changelog](https://gith | `-rea, --reasoning [on\|off\|auto]` | Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))
(env: LLAMA_ARG_REASONING) | | `--reasoning-budget N` | token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)
(env: LLAMA_ARG_THINK_BUDGET) | | `--reasoning-budget-message MESSAGE` | message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)
(env: LLAMA_ARG_THINK_BUDGET_MESSAGE) | -| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE) | -| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) | +| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE) | +| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)
if suffix/prefix are specified, template will be disabled
only commonly used templates are accepted (unless --jinja is set before this flag):
list of built-in templates:
bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr
(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) | | `--skip-chat-parsing, --no-skip-chat-parsing` | force a pure content parser, even if a Jinja template is specified; model will output everything in the content section, including any reasoning and/or tool calls (default: disabled)
(env: LLAMA_ARG_SKIP_CHAT_PARSING) | | `--prefill-assistant, --no-prefill-assistant` | whether to prefill the assistant's response if the last message is an assistant message (default: prefill enabled)
when this flag is set, if the last message is an assistant message then it will be treated as a full message and not prefilled

(env: LLAMA_ARG_PREFILL_ASSISTANT) | | `-sps, --slot-prompt-similarity SIMILARITY` | how much the prompt of a request must match the prompt of a slot in order to use that slot (default: 0.10, 0.0 = disabled) | | `--lora-init-without-apply` | load LoRA adapters without applying them (apply later via POST /lora-adapters) (default: disabled) | | `--sleep-idle-seconds SECONDS` | number of seconds of idleness after which the server will sleep (default: -1; -1 = disabled) | -| `-td, --threads-draft N` | number of threads to use during generation (default: same as --threads) | -| `-tbd, --threads-batch-draft N` | number of threads to use during batch and prompt processing (default: same as --threads-draft) | -| `--draft, --draft-n, --draft-max N` | number of tokens to draft for speculative decoding (default: 16)
(env: LLAMA_ARG_DRAFT_MAX) | -| `--draft-min, --draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)
(env: LLAMA_ARG_DRAFT_MIN) | -| `--draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)
(env: LLAMA_ARG_DRAFT_P_MIN) | -| `-cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)
(env: LLAMA_ARG_CTX_SIZE_DRAFT) | -| `-devd, --device-draft ` | comma-separated list of devices to use for offloading the draft model (none = don't offload)
use --list-devices to see a list of available devices | -| `-ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) | -| `-md, --model-draft FNAME` | draft model for speculative decoding (default: unused)
(env: LLAMA_ARG_MODEL_DRAFT) | -| `--spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible | -| `--spec-type [none\|ngram-cache\|ngram-simple\|ngram-map-k\|ngram-map-k4v\|ngram-mod]` | type of speculative decoding to use when no draft model is provided (default: none)

(env: LLAMA_ARG_SPEC_TYPE) | -| `--spec-ngram-size-n N` | ngram size N for ngram-simple/ngram-map speculative decoding, length of lookup n-gram (default: 12) | -| `--spec-ngram-size-m N` | ngram size M for ngram-simple/ngram-map speculative decoding, length of draft m-gram (default: 48) | -| `--spec-ngram-min-hits N` | minimum hits for ngram-map speculative decoding (default: 1) | +| `--spec-draft-hf, -hfd, -hfrd, --hf-repo-draft /[:quant]` | Same as --hf-repo, but for the draft model (default: unused)
(env: LLAMA_ARG_SPEC_DRAFT_HF_REPO) | +| `--spec-draft-threads, -td, --threads-draft N` | number of threads to use during generation (default: same as --threads) | +| `--spec-draft-threads-batch, -tbd, --threads-batch-draft N` | number of threads to use during batch and prompt processing (default: same as --threads-draft) | +| `--spec-draft-cpu-mask, -Cd, --cpu-mask-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) | +| `--spec-draft-cpu-range, -Crd, --cpu-range-draft lo-hi` | Ranges of CPUs for affinity. Complements --cpu-mask-draft | +| `--spec-draft-cpu-strict, --cpu-strict-draft <0\|1>` | Use strict CPU placement for draft model (default: same as --cpu-strict) | +| `--spec-draft-prio, --prio-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) | +| `--spec-draft-poll, --poll-draft <0\|1>` | Use polling to wait for draft model work (default: same as --poll) | +| `--spec-draft-cpu-mask-batch, -Cbd, --cpu-mask-batch-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) | +| `--spec-draft-cpu-strict-batch, --cpu-strict-batch-draft <0\|1>` | Use strict CPU placement for draft model (default: --cpu-strict-draft) | +| `--spec-draft-prio-batch, --prio-batch-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) | +| `--spec-draft-poll-batch, --poll-batch-draft <0\|1>` | Use polling to wait for draft model work (default: --poll-draft) | +| `--spec-draft-override-tensor, -otd, --override-tensor-draft =,...` | override tensor buffer type for draft model | +| `--spec-draft-cpu-moe, -cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model
(env: LLAMA_ARG_SPEC_DRAFT_CPU_MOE) | +| `--spec-draft-n-cpu-moe, --spec-draft-ncmoe, -ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model
(env: LLAMA_ARG_SPEC_DRAFT_N_CPU_MOE) | +| `--spec-draft-n-max N` | number of tokens to draft for speculative decoding (default: 16)
(env: LLAMA_ARG_SPEC_DRAFT_N_MAX) | +| `--spec-draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)
(env: LLAMA_ARG_SPEC_DRAFT_N_MIN) | +| `--spec-draft-p-split, --draft-p-split P` | speculative decoding split probability (default: 0.10)
(env: LLAMA_ARG_SPEC_DRAFT_P_SPLIT) | +| `--spec-draft-p-min, --draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)
(env: LLAMA_ARG_SPEC_DRAFT_P_MIN) | +| `--spec-draft-device, -devd, --device-draft ` | comma-separated list of devices to use for offloading the draft model (none = don't offload)
use --list-devices to see a list of available devices | +| `--spec-draft-ngl, -ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) | +| `--spec-draft-model, -md, --model-draft FNAME` | draft model for speculative decoding (default: unused)
(env: LLAMA_ARG_SPEC_DRAFT_MODEL) | +| `--spec-type none,draft-simple,draft-eagle3,ngram-simple,ngram-map-k,ngram-map-k4v,ngram-mod,ngram-cache` | comma-separated list of types of speculative decoding to use (default: none)

(env: LLAMA_ARG_SPEC_TYPE) | +| `--spec-ngram-mod-n-min N` | minimum number of ngram tokens to use for ngram-based speculative decoding (default: 48) | +| `--spec-ngram-mod-n-max N` | maximum number of ngram tokens to use for ngram-based speculative decoding (default: 64) | +| `--spec-ngram-mod-n-match N` | ngram-mod lookup length (default: 24) | +| `--spec-ngram-simple-size-n N` | ngram size N for ngram-simple speculative decoding, length of lookup n-gram (default: 12) | +| `--spec-ngram-simple-size-m N` | ngram size M for ngram-simple speculative decoding, length of draft m-gram (default: 48) | +| `--spec-ngram-simple-min-hits N` | minimum hits for ngram-simple speculative decoding (default: 1) | +| `--spec-ngram-map-k-size-n N` | ngram size N for ngram-map-k speculative decoding, length of lookup n-gram (default: 12) | +| `--spec-ngram-map-k-size-m N` | ngram size M for ngram-map-k speculative decoding, length of draft m-gram (default: 48) | +| `--spec-ngram-map-k-min-hits N` | minimum hits for ngram-map-k speculative decoding (default: 1) | +| `--spec-ngram-map-k4v-size-n N` | ngram size N for ngram-map-k4v speculative decoding, length of lookup n-gram (default: 12) | +| `--spec-ngram-map-k4v-size-m N` | ngram size M for ngram-map-k4v speculative decoding, length of draft m-gram (default: 48) | +| `--spec-ngram-map-k4v-min-hits N` | minimum hits for ngram-map-k4v speculative decoding (default: 1) | +| `--draft, --draft-n, --draft-max N` | the argument has been removed. use --spec-draft-n-max or --spec-ngram-mod-n-max
(env: LLAMA_ARG_DRAFT_MAX) | +| `--draft-min, --draft-n-min N` | the argument has been removed. use --spec-draft-n-min or --spec-ngram-mod-n-min
(env: LLAMA_ARG_DRAFT_MIN) | +| `--spec-ngram-size-n N` | the argument has been removed. use the respective --spec-ngram-*-size-n or --spec-ngram-mod-n-match | +| `--spec-ngram-size-m N` | the argument has been removed. use the respective --spec-ngram-*-size-m | +| `--spec-ngram-min-hits N` | the argument has been removed. use the respective --spec-ngram-*-min-hits | | `-mv, --model-vocoder FNAME` | vocoder model for audio generation (default: unused) | | `--tts-use-guide-tokens` | Use guide tokens to improve TTS word recall | | `--embd-gemma-default` | use default EmbeddingGemma model (note: can download weights from the internet) | @@ -256,6 +279,7 @@ For the full list of features, please refer to [server's changelog](https://gith | `--gpt-oss-120b-default` | use gpt-oss-120b (note: can download weights from the internet) | | `--vision-gemma-4b-default` | use Gemma 3 4B QAT (note: can download weights from the internet) | | `--vision-gemma-12b-default` | use Gemma 3 12B QAT (note: can download weights from the internet) | +| `--spec-default` | enable default speculative decoding config | @@ -1020,16 +1044,23 @@ If query param `?fail_on_no_slot=1` is set, this endpoint will respond with stat This endpoint is only accessible if `--metrics` is set. -Available metrics: -- `llamacpp:prompt_tokens_total`: Number of prompt tokens processed. -- `llamacpp:tokens_predicted_total`: Number of generation tokens processed. -- `llamacpp:prompt_tokens_seconds`: Average prompt throughput in tokens/s. -- `llamacpp:predicted_tokens_seconds`: Average generation throughput in tokens/s. -- `llamacpp:kv_cache_usage_ratio`: KV-cache usage. `1` means 100 percent usage. -- `llamacpp:kv_cache_tokens`: KV-cache tokens. -- `llamacpp:requests_processing`: Number of requests processing. -- `llamacpp:requests_deferred`: Number of requests deferred. -- `llamacpp:n_tokens_max`: High watermark of the context size observed. +In *router mode* the query param `?model={model_id}` has to be set. This endpoint will respond with status code 400 `model name is missing from the request` if not set. + +#### Available metrics + +| Metric | Type | Description | +| ------ | ---------------------- | ----------- | +| `llamacpp:prompt_tokens_total` | Counter | Number of prompt tokens processed. | +| `llamacpp:prompt_seconds_total` | Counter | Prompt process time in seconds. | +| `llamacpp:prompt_tokens_seconds` | Gauge | Average prompt throughput in tokens/s. | +| `llamacpp:tokens_predicted_total` | Counter | Number of generation tokens processed. | +| `llamacpp:tokens_predicted_seconds_total` | Counter | Predict process time in seconds. | +| `llamacpp:predicted_tokens_seconds` | Gauge | Average generation throughput in tokens/s. | +| `llamacpp:requests_processing` | Gauge | Number of requests processing. | +| `llamacpp:requests_deferred` | Gauge | Number of requests deferred. | +| `llamacpp:n_tokens_max` | Counter | High watermark of the context size observed. | +| `llamacpp:n_decode_total` | Counter | Total Number of llama_decode() calls. | +| `llamacpp:n_busy_slots_per_decode` | Gauge | Average number of busy slots per llama_decode() call. | ### POST `/slots/{id_slot}?action=save`: Save the prompt cache of the specified slot to a file. @@ -1621,7 +1652,12 @@ Listing all models in cache. The model metadata will also include a field to ind } ``` -Note: For a local GGUF (stored offline in a custom directory), the model object will have `"in_cache": false`. +Note: +1. For a local GGUF (stored offline in a custom directory), the model object will have `"in_cache": false`. +2. Adding `?reload=1` to the query params will refresh the list of models. The behavior is as follow: + - If a model is running but updated or removed from the source, it will be unloaded + - If a model is not running, it will be added or updated according to the source +3. When the model is loaded, the info from `/v1/models` is forwarded to router's `/v1/models`. This includes metadata about the model and the runtime instance. The `status` object can be: diff --git a/tools/server/public/bundle.css b/tools/server/public/bundle.css index f26e9ee83b..32766c51aa 100644 --- a/tools/server/public/bundle.css +++ b/tools/server/public/bundle.css @@ -1 +1 @@ -@layer properties{@supports (((-webkit-hyphens:none)) and (not (margin-trim:inline))) or ((-moz-orient:inline) and (not (color:rgb(from red r g 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) 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) 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) 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) 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) 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4eUgTY/KlOrf1992f/KvHY330GX4XsjkGKmy64vF9gelrU0o/FfDe0Fxz7iLKzSYXolDmTtTktZU28by++yF4MwZ4ZbUNfD+T3/7xIxsFlnkI6vVLaleSnYxnSjjQZPKPaOiKWRN/yk96W0PFP7V/TSXBoo5EZ5Rfgkp74Pe9byGx780CcpJa3m53GrFY6UQNu05yCCYsoo6neBNB60MsrZMaPG1RewWtSFCHz5ZE/N7uZHETNFcpsihVCcIrE0YIY9pTSaoh8nedzqgPBuMgbuYMPCyVE+Dmnz8Iaaw+YyBTQhx4HGIkKvHbFw7Jd/30AF1d29dTEWU7jUEdQOGag35tdazAR6k3ovonaAi92cblgXatUiIMqxZJndnySfM8D3cfDA0cmeGpxYN6kfu6pMmNbbT+GIptyFG9P+u07FAKFaqAwlCsGYn2DnnDzfF0EhYeScEfJ7k8GcG840vc5xnseI0XNhU9tBIsc4tZ1+ci7yxJuFhwiG+3dC4/v7K/yFQB2x6L7zLxce/4JILt5iMM6D4D2zMCfEAOt6N8eOqhZNXVFxnqXaqAj+9JV/b/ILwRiLVd98VX3PMTfenWjtjquIX3yFg9zL9R1C2VOlGQnWFF3YuldZbLQiChOKdjPQM07h6OZMhShKKI1Pfy9Eq1rB5N97dvzZvhYE+Www2ye8U403Fzsmk0TinYC8gD98RKobnAq2oP+O8KDrmYSNRNHi1SP5BPq7FuyRSc92Qp/zNn7eqoJ2SF248h2HcDoAM6poPr7aRj5SLE1cGPjQCd8bk2o+CSfRI06tWcaiuRR9mEC+jVYCV1Ets5ItV40dhN+EyTXoVxwpdSRCQxidMYnf3WhQ9L8G/EXzbWhqpHQqBg43QYLy5o1W4JOw1deegJfeD/U6GO4TS7YTjmovQdZ1/SFZU+XRWaGtwnfBg7/r1wK9PWJJhxehbPCNM3CSccRvBHGFaXLGGoGvJ+5MaNFUMsFCDLo4gqXMGzEzNGQvY5fZLLKJBYvH09BP1uOXWT+Gy0tAUzTGNxSMKsl1C3KtYV3tmT8K1/huCsBOY5ldvsJGmYmbNUTSdsw0sukq4QIOxhiNIr+gQzIqQw9hfsMMYYXh43M/sQUsn7gRt6tSlVZ2GkE6cY10Uy53Tbk6ND8D8/nIKK+4mvFuusRWVBFvuzkjlUlcs6hO3uc8pST08QZCEiMmzt3e943710PQy3oYQKgBKITSNBRYXe8mRzMpKU6oM8mhN+f5bQoBp8hF9xuheIWSG+QQSLICqfUVHsKhnqSBs6RVn/Xv0SraVrjzfWQZAdhcvNfaNxj7FTQoPjiIubNzYf5iwOgJb5PJa422l3CUWFpiz6o21JZt+Cm+tDhznSTCjHXIAZLUAykp7lkwe/JQiuEo4oejM3ufQbUxTRZzvJplNNXCnlZrLqtp5MrqbNDlmA+v89GRTTzD5402syNv9K+icm3mok5Qpvq9jfif2oxtgKR6CRyqEqVswxweaWZqKTiqbjYaE87UxitGsMya4SeeDSie3mbghb4uqC3XVy1RfGt6CGXmmeu7U50KsLZUEoA/U0rJ276xkwQvJO0eUFyhqRTDt/IHiqPfmwgxsWDv0J3+djs0MjnPJS9E+Flo7o3HQT6vV4qTQYgyRMmCl9SBzeg2eawQqUFueJ3Z620AuvfGujlbd1SiG1PZJ1VnHyQHcasnMnQQyLB32mcTpkd/Bn7nx8sIQM5SVjxqpiOQJi3ZV56d62VwVq082bUYVq/y1cSJVDqwWYyUlT98oB9aZjmcL83fCq3ZtfA+nIa3+ECLdBIccRvC7usfb3MGUXEJRbXpCE4sT14WKSAgnH4GOiqeFPx7mO8O+41ZcW1WuoMgQQvRnN1/cO0khD0xRDEZDSZo9YfE7VLYzklI/IPfRahPovUuIIIJkoSETrmGzAsUJC06TSgWm3lnRfVYNPQZCXGoaOhOC35A1v3Pii2swO6xlcCxl2RvaIY1iv8kV26j0xfTdtr+cJj9F/h2doz1PKCa0bjGqNVk0Fdk8eEuCQoTAtYSLei07gd+BtqlbYrCxXs0A28FbHmFwuLRxf3K9eZ0V66yBvbc1XsEg7dGySrpP5xZlBVTd9gFm9v7LJPfbRj7nJu7Bnyn3ojzoHvgiXfmW0zkj2l//53/T8QFWjla9i9onQ2Q7fVa/uujVH9s8wtQ7ZiMYw6qcOjwxs+XHttOmn5bGU/Wtjmq9TIUI9HQYxRyb91472kYtM5fjvM8H65sas5Mwupe2+2kl24+hgpLiPvfde4TRvcm237FGNgs3jBw4U8Vdr8hM+qOdTM/v0Wo/phfPVD+uLUqtlaKbIC//QDUdJy/JxydM2FzNiDecRqYsK1s5iXsTQjNObigLe0+E2bPRIZbb3eOlxariyyoix8/luRtgleOhius2ztazh1vAtZrryPqUDQeg1TeRFRn8UveeaPwdOK1eBvmfCPORNtuqDP/G7ZPuU8uGdC44f83mg6n7oZzEFNFOOU85wR/zIYLzYsj4aumrRgP2BeNZsdSno1NMVBVlpIkKolxC26bzy9lWwoebHjGhgKYNzrVd1aRIrTWJEFhjgwUfVX6z9nad8Y+uiReLmLrxSU1pLlxWCtjxmgfK6+uBJCjNR4YGv+f5y7jKuNo4pRRvrut3bIHY6ymFCwq0w4l7Qrelu8IfUslcP+J7QKP+px40yGpJPkBufR23DCwnybx8pFxQw78PrBSEhAsAbN4KF+QDSRD/TFvIbxopbTd+sO1tAcIOGlIsuNePzylRxs7hCQQ7f/0POAILD/154/vxgK/j8iH1T6z4A16BVCdhM+sEPutfCCrqgkw442CTX3AKgo/lQswXARmvfx+Fqmpj6SkN7HsMz82eef7cUQH8A2P+1nMSkiomWO3a5iZtO4sooUh7v3hSxKmRxL9SdVEs2iAWHE3VvBi4r/7Z+oPXICHquxS0raz576mdl7xnbnEe87V4vbS3xfcYTTkEdS8U9LQVKj78frJUzbB5XtzYWW3bHyVw6J+e6wx8JmV7e9eDEHjHqM2avftcb+Wdj7rjfsxnhcz071WJDXBZb4hbrsynv0vt+HM91RBfVlLZNhzGf2RWaUYtabJmCO78KGIn1SWflyt/zPMV3ciOL/1lmGVIPs2OOH6HYv3fol0FG46s1X07tGdI9/2R1RsgYDR0I4yHm8aIx5e1ZC879DDm+1pnNGzsIH6774YNpOYOgwRmXF1yICtjyeGrCBO7eVmilsX1ShmQYhRyjtPcaXVQrV0GDRvAqHGZ9mZOc+lzDa88pm0Y5ll4DXFES4nJ+2zPYTl/KgXGXbuJ5dr4h4ndu4z+UrUb7PFPfFgTf+yZ27MbcLDIFuW2COdT/RQ11vhqO0ep4rRfbRyjp7B3dhuc65x6L3ADo5gGXsrCWOef4h4RBhPE6F4JlP9HAwMuI2I7Xacw5vO51cZidTurMywEDGRS70/r2bwprUfvRyYZQNgr3wC1V1tHh7MNiZ57kZC2Sw78OFTJ87r0iji9i+eFKnHgl3eK0Ar8rSTtyfBv22XiFkv9Tz/BF3JlIkK3kI60IcJvVzmYthrCaq14FCt/LyPVb2VHvOy4Si+bUT/p/k2Stjx36Q7Hh15FyVhR4J8d3vS9roF2dJ2aBpg2aqSJeC1RLqEfuwRMY1wy/chd/vwrpzCPMmGnkYg8qHiIe88+DH2guHioq6+2rr01Z27UsnR4+dhYXyy9CUH4FUgaA/0y6KqG0zpyc5ZU39pVWZCKgv3Q02UY45rBZ1SmpRO0kbIkUEaaSE8bH6eNNGEyS9++52TVbhSZEUrY/rHy7jTBva8ojb43xfeBE9lHina+XQjwPkW1q2MUc2TRRlqqUktpI93RHgzAsfKIojlwaPyXf9t83g4+8msUYzX9Qifbs9SlFZ2P6FK/WPUbJiMCTWnUAslEWahG+9fHQor2nGzodDDW3TJk+guwbk63vLDkvVRlTVnR17uX4aV6811egnv3UUUp5Rv9MOuHD9O6vXkN+A02N+FRnYiNbez8o6ZdArbE+wGTjBppIpegjZSD3QqSnqYl5VKVInnzle+YdgttwnIYLV0d7cnT90tnanxmxRNCWkjObPcU3v7k09sreyxRHfjAna8sTDzeqrqeet2etdmeeqLRFTxJLY8PdziDqsyDHWG2cuU3D7BH9p3pfFaGpObcHqjyOxsD/3ylrsrX0yf1KKMrz+b5xsMIWqC0zfnJKUJX+MhoEQvjo6wqmA3kmVf6yvufflZPzGdNyjjEJfxWrs61rhJ4UwU+HU0bnJijTN/hxu1KT/GL1ujn5LxFl5Tcc2Cao/7nyKccjYB43FWK4+xHEKfsxjRd9JNrOMMl0lYj+MNhc2xBfyhWnB7xiMJKVF/7qiXhVGUC1CMtD0fFfSNTz+/GAwu7UcZEiG4VP209dXZ+JhKUyp3T3fwkeuTUFwNZnLizV976vKXaWbqajOy2qoZlt/jr+zYvKXjues+K3Vjc6IJ2VikLD7Y+I/5dNDEi24/rZ6kdVMdew/URllSqc6fSFXem/f8DC9a1iXYT0avmWxUbeOw3hl13nX86/La42IPJVROaxk7L0kfb2vBFwNW1MppOHjgGpGXs5upiT1HhpdcPatcVn3iqmffzI4MlLfkgcNkVWPO032o2LLrFSNq96XRMmVazuKUEFL3Fvpc9Nz93KlYiInyFbPIgxnzoMYMPYWz8851Fif1Ni39oXTKQ45Ne1cWcQhF1NwLjnSiqWFEkxrjuHYzZojaJL1Mapf/Y1vu28384vqJkqBCEvsmPgvkJmWhtun20cBiXLmb8DIvxaQZERAkysks/fN9aFk0nHwqjkCZeGi0GebksbLoYFCp2Me9at75kirjwslm/bh77P3uY8WicemvoxdasYTLUTZZnO7prsZz7O87Nzg03J7+JQik0+ZjByUD/84e0mf2tS79rW9rvuA92u0zeSl6K2Liqus/gFOrE9ELHolms/vC7Suh2qjCxbJn2BwEld3lB5eT7tC2btZu38L0WVtG5cvIPyzRLUU6yLYxzMDzYXhxtK7bcQPH9h/UnT/3mj59yoUwGQWOXZEJZZkZ0+P43TPB3/zbU7+q27dpbK6PpQmsSLW2WbwCbdu0QFYUXgftuO3Ky3mdBBFRZXFhYcOEke9SIfblI+uXOeC3hM9LXrgAqQY5qsWjVWkiTDSHzi5/CWna2s8PXZAiMSEJXm/79YeXvT5WEaJVI6RtgmFKUv75KXQQyxW6U3sBa5qu+Cp7fA0H/Y5fuhBaeVc/emmj5G9s++rB4FIYxWujlc9FFucNrP1vaveifwZ+gURih2nueylarBB7CsL13T/G35Kbmb6d+k66bHlb0ff7no8LLR/yxwiuHG9o+loYubklNDOrU3UgfA+W6cW4LnDoKpKe1F86eU69tBBWDgzZeYIPx+0xrzm/ZVQcyr1OOFJzDOpVPPlhUl3G6o7DTgAllAT/dcj+0eLa63cFsxQfcyl//bRxa0WqtendNfoCT7y17/rYAzqiBDJgAW8XS8MxM1hpywnDF2BDNyx/vlWDLYkyvUi96OHqXwLzwumV0gb2acCQW0mOPaAsMTO54BbAP7ekylO0q2dm4abN0bhfYuVtOtGR/FikC4efzi0DLTTyls7tKhDy7e99LyivXKjLZTSi/a+2FlVlRSQKGwXT93pcENKndRa7rjlEVHSJqF4cHl46MJ5iquMXWJG/u2ocfPFcoTsB8j5AJFuB3M6lHponi19R8gXUWDARC9WvFxDRC3D+uJOJ5UXADsA5YX4IfkMWP5o6IatLA91/Im6W0zTXuC1ZJ0JKl4HMW+cZ/v5kvNvRh1lkqNY3qmDeWvFPx49FsWYu89B1oroO2J+ukUuatcdGdG/cfuFN0a5wpxXL1ZxIFzEJVlbf/TnfU479nfnk6dS3EbUMgbj79d8rlutkAmZ0Vdd9J3DuGStNJl54MzKannC1O1LP1Kwq1lqmcrl8n2Xn3zO1Idz4V4jRjspGayH/FezscZmzw6wjUu6N/j5iABZ+hjFdFBFug50w/0bXyVKB963H9/S1Rb56Sw3Sbuna1bYH/LJVAKJcdCoLrEyVjn7YqZ5aKRDu2L/uzYKTLf9eGrzgIZp4j815t7YQfHLi/iAEBGD0c7TlWeeX+Vm8a+bMES122ZHbFBbB8+VoGmQxNdCVIly5bdXnVJYmYKcQO58MwwVd+oWdH08lvv6GHvpPDEpKAH/q5cknVYjESh/MQh7uc0MRLaSP92++NxaQGQvLwrw/+iHV/TdU2rVvKJY6ZtVla89iHsa6pJiLRyZqY/Jphijr9jdpr1TaSDUgdNYWJ26DKMASM5KGQacFqoSgtVQg6VlTXHCKNIOrHfPop6pcnhto5KiWnveWJX+gpzOu232up+PYkstuCl7MRFNYLaWGpqe2KeD1+YCqI94FNQS2IiUUrK6xWT1kdbb1w2Ud0M/jsE3dp5LprA3iSnO2gynmpuJeVV9djpFOuphuWbIXSe2MCLF7/TOz+b3/MHfvO4gn/Vx59xZxDnseNn3/0sghuYRYY7gyYsMWdSeX0P1/prQq7+X5LfK6Qfp8pYRd57WfBKQXMrEZReaGu7hus3fJ4qPazrGXHo+kPeoJrpybH5c1SqiYNvxmT7dSUKmqxVf56MyFl4vtQZUBJJ+Oazz65yRdZh+6VXTHvp7dsQYxxXs2stTzkjvlOKWCsHEF/KzPWLV8z6ZujG+yakf1H0NO4elr6I8WxZdWo+7fi0BD2EZqUcDpAOcVBXHfgxaTkRwieJ96wz/bWPp3m5MnIKk2eeZOefIiVgOmtD7xa0zyfmd2id8UimGw1sqfnrXlv7V/O5lBIhSY2ROs7wVAhs8j+SlRO9/rKMRE15tMU6AotSe/WPacxOBZsvSeuamFa5oYUc4MrLckVP9OdUPNWRMmtPz/RUgXK6UXsZ9bnlraFQmml+LHDqi+JPZmSNsuPgONotE+R6EpFV6+QKMkZAJqN3ozNnRFOCTshC0PJxTUJ2Zn9mdlSA3T3bRyf5hUyOwW2aTMSb56b4KZLc6W08b0Qsx3dp7Lclc965neIrAk17gtClUGpbg34BRevX1/w4U0mIvJCRjwXWY40Gaktex84+QDtOft4a2Z6+T4e03DsMFS6sHpiiRgT/TLEUnB0yneEeVWeWEVnZU42b7dROBZLPSzQoMkVwp5cnRUd6I8rtGTFusPBtGbs+GFF7cAxcBzdYXWcKkhWP/sa61BZXZJtXTxRgbnnPj+B8mXvsHwp9b5vMsy6YzER+6dvJnoWDzBFyauekn/0zdTPRtmRQIkq76NjRdln/gvYrIH/zuA+dlDV1kaxlyrL6mzJdLBx/T1FCKUrWHBo7TMHNHM5a0wbf604b6QOdJQETcW48es3TwvhadTPP8hVccYo9Ycm22AOwqxxx4JF9QH7ms6Ur3JjnI35aRkp9rpXr33/IoGnzpXVJVoVWTmNusf+TwU0g2BTXet3lRdlhNH+XhMu89tR2qauJ2NCmu8rdPsrN1Vnezl3jcjicR3e+bLDGv+ITMVqL+L2F8TSVw4TFUkNpQm/o3salhBLhb0GjB5RuhUykULsRqLpwqQECaNOJ5WBXHtkLIPqXrWs7KKg/K0px/C6HZhRt1ZXZKx1/d6Ru2oYO6ikccFkffutYOJx18PgWDRdaE9GjSL3gEcyliYRrZ4/FWDr5hhnyfaKbPvHwYYpTjMvRSiThQrMykJEiMiX5d+ZuF67oGhfB50oFD5ZS8CsnOfjW+Jb7+6gcvOojrufOWcYMY7HVWEXnksUYD2bTHsDUY9v/smBenmLqieDzU3WTMobU8c6oolJ0cBeU89GhiSdJG1/Lwmyhj1fZZx0Us+nF0og0zbzZsm+MYcJO/scm8tI23UOGhqOdoq3v7ifZ04ZWfNx2OoXi7edeHJh45KuPcBJ3hYzICSyoKQdQAW1hY0SMSa4QTq0queFj6w/EW6H2/enY089lyhGi7+J/Qs7S0J//awMl7IaGKxPOq+bLSVb79za8EbDTZyHk0m76ND070lDxhYLBkEcd+rJp017xxxmjDNxJ8STV7I06gfIYrql67yCqII+NkGnIJ7KqTRO0Y8+Qh8wEWHR7YIW7Fp1NSMtt8TJf/3zolm+PJNVebjDJt3VkOVLjqvunv/9HwFejY3M0U6qIRcSMOR3/gYaf+xYnyFxSJpesMru+dThSImizXKJzJS+qANK/OGXWfziUkUNchV1Pjxiy43wh/Tub0eSOWf1jpdI7QfyuCs6A545BwL+ZRLo6EYS6NXTxrRTkQkRpMe2zGINOwI6vUEXYyLx4Zap2zE36TRgqY8kojuD9T+DM7YzW+oijNg1rWFvPhuPZmkmHCoKNYUN20LVsZ/QgDA1TShasNq08CkYYa5is9mrmDCMvbbX4Kxy6i+D/ipIIk5imVDwGHZy3mrKj8gWFpUURmRBi0X27CYG8qOhuMjwI8LYdA57+YywQxQTuRGCiTPECc1En7mJkBHSpl/pVOxXE92Ia/NjM0RjFv0N0G/g8pbCSDkI+KtRzEwnBIQi0qjznWHU1cTrD0TTyRVLwu5KlFLk1bjYbrNQWA1obNksHc6K3v3ZNEr0qAkpl5MYCYRjpbFwIJLI4UoJpWwA/rxuXWPxo3UvFEFzsxDIXFtx6TjuiU32Dk309g/01402rVu7pWz3QvaQsNrzNaenb0v9ZqSJ+sZ9RpKV2KDJiz7d1qSBxcbmprn6eH0EWrfPfK6Pw99QAVlTybF9abbDERmrilXrOh/85x7p+/Q9DuNrFRv4nHN95n3YSALxCuR9GZLxhOc2MQkzI5pOqlU92htNRJSAGDOfrSZv3vjBDEZuS3njpLDDF+xORqNSuewpyEDehGSsq1nnUjSa3mjQgfxy1Ez4jMNsA4F5mMjOyuxqpBKtRLqOXhqAFZwfMGokdf/A5QD3qlkm6aJto5vgD5dvqu8Udxs50XSyLft8YQxwB+GLL08KOFnBcqya+dnDktQupIbNV/wY4OvDotMiu6hwcfBxY+eVrlTJw5+1HkPhNwgF0CNjvCfOD/zO4AUw2AoxcASfWEayXWb0GFY7J6RShP0GsxmBHC3wa3GqR7VEc6b3lUke3OKAELN5x1TqBw9LQIW7Gr0Zprpte/miu4RoAjOKfW6DUNlOPe3J01d8PQz+fZwbKxK32i590IiH2E8Myw1XNLqDQ8lVoIAfVd1/OHFvFWaxMPx+zMRbT+pVj+fiIFyVPHTIAF/5jMqa1x0YBDFQWMQrvsJjQp+Dz6LpMv640mb5x+Cz8ov8xjAoBLFBjv8rB7Z1rDZWXGFccyipwRR76UOrbj+9ZAKYxvgk4TNGJeiQKJLq8pddz6iKSPXa67Zd0RRPZo/f801BejgtDCKiIVSyj5DofgbGckLsbno0Pujq71ToKssLMfW6l37G+FxLb5iimdgrsaoLleuqump34cGjhxUYdtbpXNjh5cvsJL9Ez18n8E/FeeDu9fMzEgzAO6vzJjUXeS0dWqgHS85WxyJhh68xvpdb6M9LNWvkAhxiROu01pflJ4LRWS4CqRb5MPIgTIBRwQwdCM9GDDisZfOJKi6AV1TBmCLuUAo2lYvSszu02ERRCWyQpgBrzqalJOqlMLKUZqSwIG9eymfBTYZSpCQ8FChnglqgcigec8yRxIE+xneaNSqMszA45CvkOMYJO7VyJg7cpJbkIC7XVaCI5epAoxdFEnxUaRQSxDpMoulYRlo8AxcpMcZB6SbEgZAFMJmLRggt7FtSSK9eLjp4855UswRTmTQ80GFDN5TFIIFUkjEeTnNwVp6tLKRzbJBETOLaxHi+Jp12UgPiHhWGIixVySMNkQGUWReHj9kscSgUSSEm8ZDiitBA9NwEF4E8gGyAalYnCqJ0JbddRTBJdqBbApS8VwDJDFeIAZcBgohhBG/MqBRiE1Qi1qIX3mw9k1KAMyC9AlSrMN1GCkGEAg2CjmTmtl9SnJOtg0nujaOZ7/KAHaEXLvpdjfzrGAMQUHzSW19rV7Mg5z8uQL4AAFi2cuxq89ZD/2NdEfwdAHAwANauToyq64oLCW/QYm/qLfEXp50GHSb89dXQHRgoO1Pbz1NmVMcAnpYnJU6RPKTM0FaOv9UEl/2DgNsEBLlslVAMNrCDVkzD7oKgZJN5ezGF+z4k9TXUY1d7UzKvEdwumt6fjqYIVLYZe/0TxoKyvb1uXCXntkcasoGSBIjmMlUnAHFsMg3japon1aCsLK7MeuIDeBhoi5KWL5nEWlP+B/GJAE2aRW781ABgT3x/CUvkXV5aawepW4ESkJIGj41xe+59YvaRyrXu/EJZX4hjKqwm72lQVucvoKy+esB572a+tBWPsMNcmhdoR9rMhut9PwuokwG58fbLaTUgt6Ylppvt0hs9S7IDDJ5GStIG9AAAaEf0Xny7LUz3XrHUGEZdGABxtk+QI1yQrmUZgYA61lV4J1AFiXdnFQx3tQoR9mwVKiHCKgZfMk5jW1W8GoCWfC2fu33Bb9CQxUb0WKDbGFKCdolsnBxfmyk5YopWkwI6jcJ4QENMS+jkdsu2QAqc+9mxUYspbsjgorK0IgJtWnXQbL/Fii6o8Gs0ix3yKEunu7yLz6C+Ng5x/oAxf8QCnQRi53ufLCRCS3J4PBCpWpIK7qCh2A1nHzy2cNcjHmczqHtpHpAtiwBPM4OdS6Lq12ULCcPmmMhm7fq1StNtIfOkG9LmP8mVeD/7kTX3As60BntJjQ27SXo4WVK5JNKSF9nhDuRN1iaVatV/tNuj12bZKrQ+O2rMsQO6eGKBkWbykPuYVCOMECGPa+lAE5KVdBqaAsXcX2YIthf1bLEx2A7xIprsrA6mnCW1WiRMjz4LbbTcpYu0klladNBgs7DvSBMPAad87ah2+drlMRA7Ma7sU/q5n6JMSDE8CEsv8v+1wCmw9N913p/Y/cqCY2Hj4OLhExASEZOQIsjIxVFQUlHTiEfSMzAyMbNIkCiJlU0yuxQOFCcXt1Rp0mXIlCVbDo9cXjSfgKCQfGEFChUpVqJUmYiocjEVKlWpVqNWnXoNGrUGBjustd0H3gwC3nIrKHjXe973tg/DgDCICeEQC2JDHIgL8SA+JACnzTrjrDnzQ+MDPQ4H7WiOcbrSm/gzGfmt/f2tkzdyZboZFd2dY61YcZi/raMVrumBIz2MWM+C7BtXDo329A0OIJHuHiRy8qfnSWeCog/w7Jk9BUE7zmeg3y3Y3Z8CzL3ZBABL6maeV+ECFGaHJ5swovKx9i4yAQrAOIQ4JwMvb9FPgACBRyO06bRmxrupJkQdJME4hwMfds1z1SlLGHMBXwXqWoa3V6xC2vu8Bhd1MD/pA/p//Qy6/RGeEp8ZHRgI7AMA) 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) 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) 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) 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) 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mXgHbjR+gREkFkczyK/lyP4oqCLpIbdkjQeG8wcfdMzTG5M7QAOu79eaoLfQGUrNtvX7b6V3YjgqJI8zkMqrdtOl2sg6lMyxcTUOUJ399nl3uDKC3LH2V2OqTFk2AqUx55y6Tm3m9Y5rOMdVfN2HE8K+Ns4HnrMe+UVtXd3NMYVpLGho6ly8Pd/OgmqvCILwmieCI7ITGzJ6E3/7ZhfvBgavsTsjobWkKjm16aBVVS3sEGRsHiAvCKDyJv1nZzWzJN2kDt0qkqhH1pLdwdMIw4HZv9K7jmTytfqfhNb0kQ62vAnS9xMwaVEScodxfdX4ekT5dwwRCiS5RtjR0DTiIgA/5gEe1k7Ct2Z9g78PY/e4R3FxWAimJigEBopeIML5JHPvd2oLvuD2IuY0JQ54IWlqLGWn7cUoBlEWtunWuUw8yZ1WN/aio7Sp+Cg43CbdOP+ans4Bzq0xsenpk64fRgIGfk9L1NIQugJsJsp4BfFnooSDUHgMPZvydgtfpCloxmxgw6wz3z8RofL7PcICpVWfQKsQz7mgcPRxw3S9WaDo/d0jvCZJ+8bkvdDYv0SRzOiyArVKV78b+JaHNUJw2eQHwarblsowMPQ8eLBAba2LZ31yuS+rYBEsFkKctDuSkGLYjyfLR6ZgwCtdMCzJy6/IOd+cVT0feJJisma1gT1tvXOUHjy/x5QpkpypaL7lIzEs3yLpNbhdOwNTVNrK06MBOT2Qb/msXbDLhuvvNT8V40ZMrCkwfeaQCORA80+zKpRl1PPHjxConNwC/DYhi8t4APv8H+UGWtnuVyFxqzgoN4Y6ieSvP9J8ob+Ldvz8os5r93b9h9QetLsAZv2Hrbutw7yiyGmV4cgxWcvROjU0CBeyvCOpTgVKu5ABWyY3lQP7bchhHFpd6RCVJ+793ZtXjmb2alBl4h3HGYeDybpRckucM/gSCLUKFkJ/iBeWcRi5gc40a/YlTOl1xddCBaYrDTOyXRIMDaYtyZnObq8Eypvftp2oq3DCdFTDKuGY8MkgZuqY6Km/zyTpzDmDbaFEgfDWoU81eslKqB8Caxkbqmmakk2Z59UtE6hU5PHq6F1MrbwENyDhe1eyTVuqQrfR/Po1YpYyjHiGuuKFP+GLkAji0QBeJTQNVvUoVK5QESw2pDfeLMm98wMeLJQELEpTkwoR2y/mlrkUjjgOggfrhp12LsYS2dmFkbDzma6zhs8futvdOkRbTfrFG4zu62mww8EviJRzc52EBSRzcjpo2yyFdXTFPQfrCTrJNzokDwFq39Tg9PyrZgE+osSTyzc1jsPeW/htaGzi8Lm8FOZJJ6RcwzqVqEyOL3vwLGC5zxvcR1hH6e9MT5MjTsVPzQlJg0jx3Ku+Ukloz3G8FdhVmNQUp0BevpUsXV4TqH/R5bvWdz/wzwMR2mauehbMlQLchDQFYqFTo6HVVaxs3NRQVFap9gsPVH9jrIlSklHPQ0rHEhrFwPCwJ1A5x4+9J856J/tyBef/8Ko0HHgvG/UKG0Uet/zhsIqSU2WrSL8Wq1yuMBYtoMk0rA36RFHemmblTzVr2UZIf4F/gJF33nOFEsAV+jmZI9QHmPJbnpvGG4XS2kBL14go690fh/PvpQ0I07neCYkb7GPaXvbvVFFon5aaijEuAMDgzy1WLYUbzGSccDwVpGMFi2souvjUkdxUGTMN9EaiIQlqUvHxqBd8WM46Q2uZ6aKcei3Dh2K1jnZWBFWzTKxY1QcXz1GMpAVPl9GTQPjYIdmgMl2moGAJm07SdTY8w+ctlPiPO8aFK3pmgQW75Wv3rt9XDJNXHwuulqVe/v1icRZP48/6h12FHHz66bXvOW+QboINblXCbl+9OAaDaCbMA8qiu1vjV2RPt64c3CTyb6RT6QtdI3ionEcxphwDqVP76/07WA+rh3bnqdJCMZQkJFBErGJrZX1S0Lhyvt9hrSNgltPXjBrdljJuXdkFy/9Dfyr8n0LdrnsTohZbiTM9SXTzID0xzDO5NY24lLT/ymFNC2YjJnISadFgLsvwprs2mw1nkfPBJdKTVf3IrsHr9R6BnflJql71RMuK3T9KwlJng8U0z7LQvA4DAK8onMMni+wBUmjkFIWxi3DlCSAehiOgsK5M3lhwyrHHgYZpwkVvTI1q18t08cdtmzKccbVJn4xkZJzug0Pv6PsiJf17cdX25C42OxpMKWgmWxPt64BtghXsovI5znGjat1l23XEqMXEyco1M2wUmRHoQWRGuZRFm0dJew1uh0qp9NQSQiKMtPm15Ic29/0TqmN+bBB5fMBbnr5vFpiuq65QQJ43yaZu2+wqz32qG+BQoL2rvJts6DBmZZBlOhJ4nT684enYgi2fneI8JqjLe070wparRFQLq1pKiU4ruiM6v6R1Zp5w3fttkwGZCdpxkQ0XINUHL84rqpmb3GCsqzBfDwH0QPP4qYb5knknqT0rDjau1BiamkRRMyxyrAv6ci8Hq+Fxl+yM/+pZonJiEv4EyZznslzdjv5P7kunkdQsZkWsW5C7Cl2N06WqyZpCGc+QZogrcESRdWAVBMPiXJdrQKXy0kHYPdc6kPTTXQf4pZLtTfMZSy11qX7gyK1UzqwTqy7r6oW+G7FdfdeVw/ShczRdFk+BgoNXZKElWmXTan5nZz0W+HzqsPOsCC8V6V6DX64Euc+z/d8FHa2aOYpCXHjThxsBNvd2sdkbylOOfYxXiIiFduOctYomE3mInV0W1YXOuWZYOqaMrTc2Z44P3GCL+DrRHv+vp1NsbbIHfWJfdKZN3LqkeRpmgoG2TAeJgjhtQNkp7OB0MafkGTlHKZGaIw+UU9K5ebNGtHjxWOPTjJ0RzQpraD3XWEcpju5skiINehbYzzZnnOGS7t3m1l39oVx1RSpOXugcdFJJhtHgoEfNGg/lbsQYIEgzfTttBody7V+mCN95iDxt17390gb3jvLTjuVJeyuXnmqzpn9VSAdlxnnATs21W58lwYyx2zzRXhY5BMlzfvAu/imx4gBb3Qsc+wTX6eN/dh4unOGyW7KusbqAo2rH0vZTa5anB2Qg+5+V1NQUHifDBeY3FfBFvdzPNAx74tR0tYlwm7Li2xt5TG4Tolyq3S4l236Bt7Hqr/pmMAb4OtkDufM+O1b85Z798j1ODJyzcujbaF7oOpf0I4UExBOma48qdkcu173bqkrQz8wtz+OiFQWhkFo7Qd+/GMXmsYRZ58hv8U61fHBEpZaBXfUrWY9ZZmqpajH7m70hzbLymCV+3gcQmk7WufY1tCFKdEeP69Xz/CA0L+/TkzFEH15P78XcQQk0gJZqmd6bKxKFVh47JbgYUKMeZMZSqrQhpnivhwNlvIzMMFPJcm/wzaxFUfyPqQoNKmvHmVrGC9UlaMrehl0tYRwcpT02f0dzESI2YjNfPAic6L/MTDZ3bJBW8q/Gy/xIP54LNutrPzCiNHST4odbobtYauGr2LqBkKDxUYac83O9ZYiG1kZmeskUkhZxX8TteMZuZrir70MW5j4m/IU81qjRNv3BHx66CCrEdljK5lKT9+5vmrxeKqtWYWR2J1/mrt+gq6d1WAaUnsFQ6x4J5xhqZS/KSM2MasrJ6vKOeZ7cntAYEuNMU38wXEqn/0+vlxY6dXIb+gd74lV2Jc7nVzF7jn59gcV5D9nZfCkj21Z6WMoMIJ+Pfc5zc58V93MB2vOqA8nd9nMz+aH1ptPa0/xC2S+752+egss9UcH4JzyKSChKwLkrN2+l0IRWxU+OeR+y2eFnhWFNBUYZ1l4MMMvHxbrkLdExFlxj+9Ocv1gyVdJl6/iKO+yu2DlK21D7o/IxRj9gk5eA1nccnJYOa2uaGr1Roz63aAe6vPfOsGp0rIot+rVXlfnVRLjpOgXPm5PvegWoLfO/jANp7d+c7TTymgcs+mmGmbJhHXJ3anmZdoAVFZrJjda2e5LNDYtc2xaVPU7Flv3QwgoNvZK9Xmd0AtEjmT4UOa31kpuATOTzGM8fRn4689S42P8Tk1/V5FdF+7A5wK0jFST/y+U+wkUaYEVmAWyKUxAww1fWt1VQXqeOp30s+fJwDxKwyjhu9dOqVpsHHHWOyvKDZS5bAXGeIM7j9E4A/S9+TDbHoyS8UcdutLjXq5Ju39TNqCYe7x6qZIa3sFmqOH3bZYG+2grbcBBf8aJUUgXkfE4XGbSNgvsKeV0KkBW33aL6jHn7NhPSloneapUKnAm/rIt3ZI0qe0IPNMy9fcd1WJUqSnXC58+FfLe4hDrlU6M0CgEyrrUMkypRHlwu5XeIzUi3h7lWk+2xmgMAlx8WCulrOmWWLM72enII8IbXIlmkdctv23KrdHHS6P0HxTcfxCNMwwWi/eGP63EOkW5i1uXVnO+g4dixzBMIScGH9uKWBnImO8kq19IDkhDOPYHdwogKxDuYpIJb1mFFGrKjXOmESqKCsKnVCVtuWevEbyHiJzM52wHpcQLtBA7wqfe5KJMIdPVYPsFMk/2BJx0s2A78thZT74OTpa/ULQ2/57rtYAduEPv/iUswH4OqORf3vBfGq/uHYqdimbWccwBLHzZ0KiBKXLTFE5MkhqslM+Lm+JktqwG7TQNoitMYWUay6smzZSGx755FFETelYXdSbSkGHJy6goXfoFD36uksvDoOvVGdrKis/eHEsk3n4oHyOzJ4CJvC1pg973Ycn3EiScWfknuP83VRcVBki5ggzUN0QURxaDixedxmF8IqLw1aSu6peO9ZdwxWFSgbnatyK1F7ycGQDyNqcNeJv6eWJQjPTiLulXqX1FQPGKCg1AoxC9usfBYPB79q+/60hxVWJ6ZnK5NcvV1IC6xbqbjqysruHCwM0dQsl3YoHc9ebX78NiXIyYzBan0QYNPx6ec3MWFLL5kb6SmfKIkFEN09bk3oeLCD+D7Fv21idYrrz8k4Wg3Zu4gM6yLSxVzOHy4lp5ly3aMlhnvrYXvNOTJn1XRAT0it5aymvURP9CdcgDEufUadWfSub5MznGC+DC8QKx4XzYkkvDu44UZPcVKFfIA9qlkZRarFgsL+3uK0FYLNYTu0qFJZVL1KoHSupMThPvtfsq05RKVbeKQpl+A6xbvyM67CsaBTCyQpciZfc8vfhyZjcjyuYrU+U5PtZRfsQ3TFMPVDTKhE+tl8ukkV/k2DSbbcOh2+tBA3vEQH+/TgLRkGqwFISQ9XvVsryc0xzATIIAHJaOm1w6svvvMWRng1dXVQH7vpJqJOjA0WDXIc+s9uCTzGhZ1GoZahgUS9+Pcg/M2X8naoLrk6rLYfyeiJIOPNTRd645+SNXbc0TmxuvXcHfTZMfrC9bfs/8iGF11+r48jH4pzUGf/hNYEUMuH73MmZYSl4JJ0/Te8pAjaGadMMKrEkGQ46xlsFPXjno9ogmk9XIPeFEniPFJXBupQQVw8bNF58pRP73Zg+wh8NbYMa3YKJYUbYR2jYDdCgIZWD3bsC8wzQTMQ73Z1jXWXPKlP4bhf1rz/J5ZvSM32HK+pJ/Wqhn4R6RqX983DMt4OF5CQPLgXH6BTF8Wu/Ti6zLv3z3uPG+S/kBvOZrCS0RmHJNAwewYYm8t7tLbpo+ZFwPM+iZE1q+eMS2pPCtczKsqS5Un6LutDyeU1hc+dKE6brR7GXvuCP26Zb6Fig0nyy5igmXxqywnY8+gfy6Q4HC2UyWBoDaPNNC+aS/aWamK7wRxJU4bzkeh3ri47ueAT/9zw+4P4imZKy5M3elQO9yX4S/qTScNyQnLYj35Km79JbeWdXGBMV3/yTrcl4GbxzqU8Q1waRxg/V/sREIqtJkOQv+bmw96JZIr3aEzQNY+5vnU6ep4kk5wd+dUFOq95me68l33pzFqxXZuVjxL+6o5KIxhUSOso2vvinifwELtno5UqNEoajOjIPDHmGG6LjbGzplbkRaMzuXQcQoFzWxO4AlBba8b1blVDP+kcapFCLqjEX1gFR/2V4C4kRfci2TxAxjC/7UKSCzOxxtViD7vKwpVrH742cOPkc63OWJ/towTChbIxU93GkxruSJazDFxkNwyWXlYYVA5pZBwzU8Y2bMTvH/nuMjuudK399XUT726OqtsOK6AiljpvdxO6v0xZeecIHMmn6r7Q256RH9sJ3HYfEK/DKP/1PYFfErUeNucKAThmW+ghyP7lqkWkJpC9b2gfA3IYOFJz4mVJSRlcpImyb+209GpjCcXcWHS0tx/8SLXy3IyaMUXCjY4kkzH+5tX2VmoA8/B0ua5mMLa4sXaBfipWN9Feh7BPz5A/uXOR7eTx6mb60v0WKSLwCXvBLneKP4bCz9LOrTdjA7t/hUCemVvqhBCpP0MKHI5kc3dApkI82Q+wOlTOVZtsRmuGBSeB4l21HyOMmPfmptwg15pbImFYFhrFAuFrnbXaM5UyRlaBJwne0J7SADAR06V9bs6WVOpXT3W2dLlzo+j/cwDxkonTPLDF196l5pUePrhqgXuBp0znHq8P2jdq4d/nbxj9acKHyRvHy2t3lBXeIZjVYjcucF3fTSUKo6hOcOt5Sn3P/tIldUcjLo1x5MOgTd4TSApD+Dh+QlxD5q5DaPfpU8GKhKLE5+hCPEEgu8nCHor2R7QPi/46o/VTFrArgh8DPGZFpLBvRdS87E+xs0eRVR2XZvigdONjeMKR/SC4Rdxorw1nUrQ/iOsCS/nfXCyoR+9dtKvXjfG1S7sl4R6VD9viSmGw89jPxJaUPa6M3FAXCGow3oLOe7qUh1Z0a/PXPdus7iLVFvJ0vSs29fczeuWlYh1qsvPcrHBHwNhLyR3xGZbV+QiyUh3rz94wsKIr2g/FMpW0t6RpuzEM53cMbmLelRRAN3OPsk7h+TgRDI5ckj6ol4BpoQiFRsM7pooEzhlhQsiNnzWZRhYzmw+K/FpPprJsLFL/ylA6AN31BUVv61iZu83NTf3mwYzpa8Eb3W56Mbe6Tv3Z6cjv3ZaDI0y5prA6pJy2Tflma8IgdM+JAIsHmJwSNNHXw5u3de7pz611mb//R38ZHHmR1FSUWVgTxmu3aoPuV0UYuhjCMn0a1COP0PvTh7olWdG77oqWa/0/gN4Bh3hx/TJWt2mPcgdykceXSHdQa0KTM/+vgTfzyFQSuy++nivNzvGjxNEdwMxy4idkcAG+hhjtCiMD0npRfkRkSwsyLecpwZKG5oNNaB+g7xmCrCv2DsaMVR5HQaL1Ppx6CKxw9oqIm9dg3Yu5XsFbuOLsh1PJBw6eLGx8tIW6FMrF2rLs616XOEd+8Cd59Inj2/2F9jS0JB7bB+GMrNBSaDuLZqTpUS35n+38Cz9Ep6JQBVVABzMZ5Wod1zJy81lLK9bGGGflIRjCuqKy4P5WRBUZAVMgNxUDGP65XpRPirdaVz43UinBrY3qgoH4+Jf04RtOc6C+eamyQDxuRsjc05Ns4aRAoJNwPATVtVUnGJmdAhsC6K0THsEcibV3rb+UMjXfZTuumjZybJlZeOAb3tJgAsD6pu4m5sQxbgn4HLUnY+xG6SJ45xFeURq6IrNXJAxKxWeZAzHnCtEYCiYwzzFlze4e8JYeqGqUMmItmVImGlwLL21ev1qemuDyEQTX7+K/cOEpHNRnA9AoYYIKlQma9LTj4LQBxIdzjyyGHIlw30Vohe+slaR0TiLrpPiJDsSqGg43cTMR1vUykW3jY3uz8owCazSlQHHhIAKMbmNyVsu6SFEzgc/bBuWFlsvYn5PTuUJAV2w82VV4hQIwpHdClUr5tm9EsXSt0Z6VByMhDO3++uDEa2gYQCRawZiSUGloWnI3KSercV5vkfGyulGeKhjsUJD+VX8huEaERDoXjS4t0OU7jtpb8WK6neMSyzXBc2pSiLK2woDFku/z/h8rHEJJsd8jtXOpvRo5+K0DOlxjBO3Bugnw9/DwPPMoEt1jWCtlJqn2W1g9ol4MTkV45JpadZVooU7aAlvAkklC/4/f4TitGNcGZmYXizJFZoS1McNwhNTEZ35iDh6ZLwM6oI1MksAnk2S+ygrh1UChF3OldRirWzcjAiu0CrpRWUc8zvqRN++Hl9iU71XCRqAACov03B6YXeA18hRz6GwNQ0sRYUfcPll/b+vGjbBHpTyo9fho2hXlDlm86rq/79gtl2CI5rejL5exE8nOX17cLY01u76nKHa8Ft9dgkbdiBKB+DZlF7Vc2M/VMRP8K3Cze+6xp3rgDAlqK/kvZgMecATXMDWfswpmgD843BHSFu25xNOlB1sPRqwzQXOrTqyCpePypLKAt6yyWEqywN6XpBjeoyiYwM87QkPRCw2KYf62cVQrWcU/1XwvQfkN4zXIqmczN8+8NYuZ/wYxwVujE2Ts9FQmH3mL9M4PIX5/41YcFBdGQUfV6qlGsP5xgvkzeDZlPtcURXKcGXXWvev7kXaJtSkGyLglPgAGA3NwOaTSFDLi4YZ2+XYAFQrysAJUEymLi1qudw/aW4G8+CdUu5UD+oOm4qC5aVGJAxs2H6fFCqwD3WQiHpAf3grhoc8rKUzolHjnwq9uOwkqPdJRs8Aw+gI5tXDKUqFlg2vH5uu4iInmkTD4x3OV+kukf3l0dXRl/mbl+tetEr+wzRt1DVg60m27tXT4VTBxvCEoamVHWqZlJW2y7kpMVot156dSaLW5V+hqdQq6SB1b0N4qulQKm6p+KrtDSaSNnVPzOz0NKU1vfU9dgGL+COPKDpTfBP8zdZsewvSeVNAPkWQw7CHHbm66jqLGwSZ0eSrQrk+GmmYnnmU00Zsr80qAfWPFVvnQZBDri/jyw+VUfcyvEX+FUvFhNJJTu0QmZ1HSHPN5VZpryx1vjH3xNw3niCySRiDnuJ//2nOUa5UUmG008bhJrdsudeA7xo72KC9n4UFnff5q7Wf7qjOV2AT3NdVqFn+e3UIEuq40J8xY4vLm7VXOgVf/uvG4Ofcrs4UNovgO4UbeZGUP7dvBrrdgOpYWOLZBl2yFH4imX1iQ3rbRLlxTikLTq+JJSSeAxdx6BvJATizV+aGspiU1hJ1W/D4CUDopRyXR8S2UKC4A/DPBqeGHb6UzZrEHYGzcSy0M/LIheav2e3rDF+RkqaN6yGwH1feCX8ZtClXmw/WF6eRxsoncuZ7pDnZ6ql8GtqjJj0B7KzgalpZr3M48dMQLvrc2fdmqMl5hBF/69K+bkf4VklVis7K+IY/89V9BtIBTstgJhhTaw6NdyPPjDO9E1Bq98X8SOgaCJzkq+ZBh3schB+E+1e3VCjtGkdb9ovR3ZPnB8kfmbQyMq7qYn1RMwGT8MKAQReFV1lysphjqPLA2WiZQbYDlDbLKmtf3wUTvnhaTmOTcb3SR1Z3DhooslvOrlXR2+3ApYkS4K14WUBOmnZhl5tpupAG0ZMruWDxaIICHY9AWf3LbmQN2JyHKOyctxxHXQBqFF7QLiBG98PGU0sBICjVxtUtSCpRME4T9ARMYO08Vv5bUhbZE5cee3eZDU2mYN4HbUI8CrQyNRlAGXnhHv2oOcsm1eHMtQYNy0ju99dnJ91yW3YhyZ716Bpe5gnLSedo1+gvRQ6mcgzPSTg/fn0L4rwp8rEbqhAfLQ4bpXKx3ReLg/WcMA5Dw9pOC4NLXMNvWVBdAayC8q/hkz5AG5xLJkcnIxb61ofGRVtmBcSk6ES9FibuhVUyjF+pH8e4ImQBggCk3YDYM4PnhwOWDKnzM7yQqmczD6YqALpUmAmJ1ZGJn826UAf2TLmih/Lj45apTGOdSheDZpNDSAclLeDlvZedG4HXCyaZdzk2Jr5enSkd6WAFwWlYfHFM8jd9o0BoPLJYURvjBp/mPTVF4Hv/A5CLFfYAB6X0mZHpVgxqM290mCYF4EDO/Hkcm7IsOnAhnmqg+oAoCoDz+syDwvr9vkD332HlTz+o9DnjjhPQjawL1eSW68tL11NKdhZETcowInpX/7OAABXsh5/kNSrlh2FiniVQSpfng8NisSUPyjgeO/Arb+/KOCNfL70HuAPTIC3QP/JmSjT1m25xq3h4YJEurGXeOBlX8+C22uEzzEhG+Z/WpeD0Koij8hl+IcjDMUd6qObp5nBJZDLav6aQbgo3Bipetnz0/ti8lXPH38U52E+P6+qLL+UDeQNTotYg1MbRFE0xnaI5NOrTVs0XBksl6jIilA7JqTYZvThF7RnqxoJT9eqoe6ml1OLCfobbBPqlwcYnHvSmri/bJflcUTEzysPLcCNCa4PY5/jgr2XhOJe676T4lDDDr4Ut0G6Uf3IJ5GFFaG8sB5659LkqpralARdYvA8QUXssitCyyhV/ZN/K7Xhr3OJIqIQub008oStkeNOvsCDn/Vz+ReyvLsL2tPecOMyukdVu2VpOyLN+uOXpumqUfWAtNbwGd3b2/s+wrJRt4771rS70yvFx4hIYzOobFA2yEbJ6b2XzZEkMX9rLhffc0p3lxWVNGelybcwthZoCmKbkjuY/E21LckFrF3m1S5Qf9KtVx/+7DL5J8Xc6tQ2kuE7ez9B7lD3VfTaNpBrp7a36/bwtsjKaqkZAEpM7KDUJw51pOx1Kvq/iaqo9/wb0jHvMAPVGh+wMNEYQFtjAiol5HFP/dj3ev3KCfrkfbL6zws9W4nY+xbjVbhFPhvbG14idWhWf/U11pH2IipLyG+5gpKvKpGkr5I+Bsqm08oeK3DxXsZVfyr12dx7+ojzVxVHRqc1NyntiyddCZ/A2Je8rULTv7e0A/Igcrye+oX0iieU3Iy/cibiCePhXIE44dOykEmBIvQkPQkaDGa/ryAhWZSwK3o4WyZBcGzPPU+rnN/ONJxr/bW0LDHWzVpln6f8B7awqrdJbe7qrfBAsH3pp7ZsjYg5NalEpFYoZtn4eIsUYRCuui5tpYoabpwsIaLIh84R7J0oCOGBYMxo7Cg4x8JPmtr0ldQKgAkfom7Xf0tTDyjdHYPyb/SadIFYP/I9Jwlysn1CgaB7QhiybnFYUr2HTFI8D8u8Zn8p8e9Sb9dOOr7nHmW8baRuqsOP4UaQNswmW1s2JSBL+YrX5DvnCvNx48Vesl+GxBmZjo+zm3IC7MZpjuq+yrD7Zx6fbxjVnmXuc4/3EDYlJl7DFyGtCCnbtss3JIdVGVjxAab6s+OcY3xndnwsXMRnbh7FaXkAy157OAS/5qPEyFLo36YIrp0R8pUHca6VXpqFz0mNT372ggpTd8pDqNcNSsYW5PrwW8Mw8QJsmE9lx+5Ew0+r3PgC6Eq8AXUZPrxwjMysuS69Gi9O9jpuF5iGAsVCqli5/wzBF/vBchBMCIt+AlN+TOkG3Vb5dTkM0WsN60AbSinIooSqCt1oN+rZDrXmU4q/ZrJ5j/khSKpK5mwdJCdeNTUoEPDEddq0LjrcOx2oiGiYwskejZrpUVatWtIo+V51UD1d1g9NWbY0pyBv4xvUaJ0qsceuFIQ1/2aLrEey+FFrAOMMpNGyWHvh+lyQ8l3pZVWFV4gwVcp3K/GCr55eCKKHq32YDP76AuOGkmQrvB5eUmCsqu6fSvHVkg5FXPhtHBmeF8M1Ez+HkCbxJ5FF5aFCuQlrn17fJmQNbPeilQtF8CEessG2Oltjqm7fhk4w8ob69qut5cqGss6r8bpfXoMtj5qJ8EvmMCJlb3nFkLcNG0OtrDPWCf4jKdeyVZjUP7zkk9QYn+lWn8L8rkl1X8X+Gseo0vKbjPRq07bC5hGF3HAb7HTijYiaDVZS3vsQWoGz6ifCo27FZi0qzMZ19MM0uZ7QvtmpTUlcIRTvaY+3LMx7N4M6EjvyHzr8up4xXzVRN9WJ8H2+Mys+UsJsYNZBEeIGkL82y+txlrIxWA62wOitVqrOkWJmLRRgx8bTgrK2mCjjFnolR4PIqsTfv3zqv/I8fFAspthmYdjOmEyPfBccx98z7YqfcUoliGqcPLvLGyHcUfhidH6mADrKidj+tFJKfB4WvPCUOs1OTRx4isfJ0ihqMLdVeV4F5MaAGgGlvXF2t4VOL5ETwp5VpzFrG8cegT99kTZaTf82PErl5rbOrdcfWGkmMplqAybiEwQ2vvLszppo278Riqt0uTyXyUxBX3oo8oBdHG2Z0eoJeKxfy9MbvRFs7BNJ4XlJowbfruQN3yQeXWcgMg0VGmAy2+dbUQg+pWcoyXVYVW+A4qq5+QmnIttjOUCJVWrXh2RijY/iVTkfTvyc1JKmLWHYr0e+2V9DVlSKYv95C96TnCFR08/oRtWtRiUOrj6sJpNGo9MGceShwVCaoj5/l7TyQmubM+YLW/jLZtV9lf3D2Uv2sHxeUU5PoWQx5Rq6t/Rk+vuyBV3HVCWGapztC3v4e6ZSY6/BTn5usdsbH79FeW7zq9M5vlUndg3kDNUHntiN1owwm3uJggNxyaOS/7LArdut+mBtvN/oazq9CDdeMqoeKOm2YS6WassqusFRgBBtuAW/vO9iBD6XmVDBwiPKzdlTpM6VnT37jNPTWZ6/s4GDrRAgd6+sxUOOrSpksLwxr1H180/q2HvTElHTa4MJk6TOlbX50tq1blf+ziLIztkLu7moO9MlRnmiXnAOwTy/wOYP+HEI/9y5R359FzzKm+ImSXVnX+XxD1+sktuEX/XJwiLfl2lefh2WVBvbTVSDxjQUrmbeophhk9qhZsrD1Q5k5JEOn6GX97dOYn0hJyIu11KF0ie5HJ6RKXH3wnu51ke6IxFpthqJPnoKaQY5PpDT9LSd2Baeg3Z1Rrwn1hlp3eKNb9dM9FMY9yXMj7KxNnYWzkqjUPmkv4l252u8oFiOgnGeHTOXd6GHiAO4kvSuFKCT5oBBq3lRwNXcgizb5OoyIyIpgs2eh88WOcIm6UkQIpNqjz3wNLMKkl3J96HDErFYPJzl7ZOQv8B2jXZQOwhArNsr5s65D2izVmEhatz2TfjufREckblfFwVph7R94MasgcyB2Xo7SIJgYnX+mHDzUNgk4nhnZUn2aAbhYY+srerNXVfs03HfyuVCLBe7FG9VPM4FGTDOh3ndfTQiGsrscpY81lov8ety8nTuguC++18IeMa5joCv0u36wdgV1oDWB1O3rJnHcsN76C2ty64BGG0bDeWrlH3qxOEBZZO6S7g8GBEheeHS9NexPOU0wElIajDWlT8wZJocU+Q355ZzUQiGAZXTHHlEI1B2z6SWp1dkyBWF2dCVv71UuPp6T1mO/QUznRxG7MKZn6WYuJWW+PiiFZYfgCTdo6PPQbX3UbcDUxVoZGlxMok/3fiqHblIBHZF/v8wZanL4ZrfLpjPL25NyuD43f7snFnXnvopbgOs0N/waj02v+HtOlx9bmqZuRV0CIsTBVG3oopu/i0EmIcc8vsmPI0ujRnt0/5zpNWRkXp4+OI7PFCzqpzU/sqkWH0rvow+wZndVaJf2ifMiwnBvFdeFsGvnHroQoCAxd1bH+oSf49HdJ8AqhazXGG6kAeWdgHrhjm5YYl4+8ZN7U24mOjr/VD3xOMzWubik9og6RPl8PUIBGJLtm1u/MbMgZSwSvP16cgSPF9mxoSbH2dZRwEnXw5T3jBpvqMnFqFeux3yZAOzPvHk+5aabu5IIi0/VuEt/wOeAa7w/IhufPuKZbgyD+1MrU6ueKaji28KK/ts7zxw2dusDOuDdyozdNpPfYjHyk9W1Jo2RwOBpHv33fuj3zyzIutvpZrPxsLfQUFxelZ2iWE16s/of/M3Z7xffcd2KeqZ3AykiN+ayrDDvuTGvFBlHkFIm/tmy+SrG8w/+CT38hK7m7TuOlxzhskdF8ehtrN6bnFBiecG+OcGp9wKYPvlijK80Cjnvh5hvbuM8FrXK95Q/alWyIsU+sbUBknO2IFMoWCodIXc9xbPfIwJ4Qe//nvP7sh1RXN4XMTK+lZMvrTQ/lKiqS3r8wZJ1C5z2DuM6k9S2835r8of3rwlRtPY9Xfuam57PMiZjOcJs/DtHH7ogw8GTzfPnh4IDAdxJ8V53sByYcjwgUC0N+A5dqythOj9wizqgvKG0vSxb1P+B4PT3heWwxwFPrWsNQaOGqBkGvk3I2b3V4AiHPrHsaYUmCrx9JfHXYSD68N2hnt/X/JU6iophfLzyYaSCw2KWib7NQOuYtai0jVCDqBTFWFuvflKMi2gm/XMsWt9MEWRUWB2UjLINuytY0idUsUMt1XbGxs3jvgRyDt0Ev6jO7cqmP5RKIdIpGTj94d+vBTPmSg4yPes46pBMCqybRjOav4sLHyJx7vC1xoayokD+3j8WXT5KL2qw/TzY5kHk9JVHXn2zJrg4j1vvgG8hbw376NKq8a9N+dzMghPxLbPLs53risnC7fZcWWeYnr+jZlduZ7SX4rF6ScL7bYeAT1Wh+hazow48rzs5Obcav3F0iQBQ8DW7RyQhFIcfjUeWCnkWObkVQoBHnilmPeX8ZELE9EiUJ15ZWIPDMaxO3rvEBOO9sHQFKvV7CHINOEjgkc4Rr1gOMsLZRgHEaIaNDG9QbbBDKWTEzOgen0BvS8mNCc0zToodDgMGL77qXAdD+E+f/NVoJ9tNJ+Mbmaj2WkRz3GYMA9QFKhUsJA0B/uBJRXvr/vouFQQAa5eE20PeuXUCxKOdd4YEqDyn4QcJfVnRp5VKtIwqOTezXjWRJ1RiXPiz+HEtF7Pzos4xmNk9oBEQJWF/I0yIez98HkAcudO/weKgsJpBzLBF/pS+P6tIXbnefh2B9u/2d64O8+Vk2O67j2dWecFgwlQbiq+g9MTyl2XuxbmEcwjY7uXgYa+pcCJXP7Bnbq8Zm+JQiwZJiBh2QMjMR1uYedFPGKPF2QqDxTvmAcHo+5Z+OE7KSOxWSeSt7PqiRa++I2akPsDOyzUFTdh0tWggZy011353uf0Z8QbnszcqpxwGEWS0M3YjH/OUa2cI3jeFmZjYDoYBm0xgyCJazcMGel5sW/CbWlUO9g3U4A0pbzhlqpvfbQrvwY5ynvhIpSc1Mt3pGgcp3tBSnWPCGh6xomohSRpb3DG1OgxH2kl9/gzT/gMTUL+iStccDvOG1Waw0N7e009khktj4K6pboRALqbir+wQqV7G8v5+Lsm2M7h6pZ+eQ0sFb/zcpdSXn1WKFDvHONwLl++2oNZcokYelW3XHUZlxJr/XdsKXR5omD2tG5BYj8E3K2FBllJ2W+kjIz9RbKK6gRZ9ym2KDpsqa1YVfF7SXKSZ1qiC+xdE/d+wpVPNDNSsxupr5aAFT0g7F8f6KqP3NZEQM3yqmtss6c+v9fnF8GCJ7jISlZBhfLJJWEcY4BwiH8iMHRx1xbzwlCof+G5vo3FsvwMckFc/lv5xZy7Vg5IXxrkJIwWTHtZUvGehGOpTk2V2xc8DHyIxX25G6z5TVr/wzZ1N9wo7LvxTYAUIXnwEKfFUT/qWT1z4os+ug/05SWX7hk+x+eF3uF9H5MnvsvJR6U1Tcyfl1ERGhISfqdbIKT13vltdP4BuuBTBq0QYEfUqQhaysvkL/V2uYXGsrm9vig73aVBuI9L29aF4/UTUh646TIwI9WztToO6CIoI75BAJjTy4wcAXQZoMcgUq10LSCjQcvu+Gh6waXYdCYzKc6q4nPUUpozUtc4RaGCjpZ1eHaLTMRdLsm3C5drQ1bNUo4/Cth0Jj87JT5KwtlUqhl/2Raplaom6VYvk+hqUOaZeqRUTzbqWki3S3QlIEmKkZlEXC55M2Kk6TO1FVkJeuE26mh0oetZKt0E6ASgY4DeJtE9gK4H9DAIEfuzLuWAgNhwXY6i1CiKO6WWVt5S5GeWo8JJiV5sijKcOte+WeynL+NDlhxGBLLoSyct3U+oFAK2zKhkUBzMSZBmcbqTEcH1OEJncZ0CXK24zwPopSaZLv11USDjZ1kuRaDYqBGBWJIhtLRpNQOnz+T6M1w2VBDVo5X4iQpzvMkSIH0my5PqoMAGRYMWy6M9TuuTFGanx2Hw68SoGJJyIq8DA2nm49BnTbDABwoEdBFQ1ssL18VJY7WUAzm9i7VqREoB0GlXl6ZYKXq+RcqZBihvWNOTDPU21Rbq9ASgwoqlKnzWUT67QIJT0cZb71kVAyCAj/0Xlxww1MtSf0ZknC8Af2a5+dFL2ZHdMp+Cx2f9DgCCwcK4G9W6m/FYE5ZSRb8uTjq00QVwH/7YF7xvuhZ5to8aC/s/2UM2pcVHuW5OtLRV5H8S97TK8pgq4gOSh2nsxuVe0MREHMKVuA57xDicbOs9ZEzya7TffDfJaZa7U/JHdEuvn7+j+pCnV3iiJ7hzjbOaJd1z7jovBpRPhO5ye5vgyaD6O6r1Klvrme7z/27ywVjrfeIe9YxX6iX1aVHxBPOvKgp+naZFuU6v1Wy1ZWZ+q7jrzrP5mMU/lU+YnQilfbRU64MsGiFWbc4vnM2fC2VSqBa1HLlcaICzARwq97FURNya1JKKXBo4rfb+17baOFd75s+dIiCVHHf1scSp+3pTJuenNBei4z8TDC0kmtO85HdxqgBcMwglJ3EfVYK3rS1yGkAFP9UU9TX+sSIZ+XUSg35uGY+ZTIvnZe2qRb71bFo8aspDuCx5ciqb1gH9qhi6KfCEcywMC+fy5mNJ1txjWeT0Y4Udbz5WaoV8rLIa97iufqxXj5n6SX3j/RmfxXqN6NepXYdBNKtmEVR1sF9RkpgtZ7Gb5tdqAMp7LARNha28OfLoiswdvXs2QuQ7WE5M5Hkc2YiKnmqjFmwtMiIvx9JHVqhXwDt1y2uxbkvu+ODOu6uLzbJ4z52ydr92rY6kjfY7T0YjrcTM+9QrCsjLWLKfkcziKssWeErGBzVvQ75EhYt1YFgcyCEQTwzvyTgRArymoueEE6UafmvZLNKoqh0WUm0pG0f/JekipBrk0OsC7Wqc9Tvm0Rj90EkrogX8Ij75UCRxbUGflFao0aLh0lC6RbYzlncP2PFghm18eMd+jwYw8Rhr3oArvkTKFueSpiNbrau58lVYpBfaj7w7HwGiR0kF10ZsuNs2rdGQD7w7QhNV9TIiGx2GHiWmqaNkQnEM5L2ax17RgGbReK81tLQ5P9bN8Wd/rCJZ8m18iH6J/07nsDL1x6Xs/zLtL8lksTlcHl8ghMER5BRISioUNQ0tHT0aw8jELJyFVYRIUaLFsIlNs/+tDnGcXOIlSJQkWYpUadK5eXj5ZcqSLUeuBfLkK1CoSLESAUGlQsqUq1CpSrUatRoD4d20W2Zstc5ej/vQUcfCwW93wyVFGv/ccNN1t8MnkyyyySGXPPIpoDCY40447YyTTi0vudNpH/bYs1tH4xJu8CXNeLq9vOzzixY1Fn6CsSQnr/Ra62AjnH9+UVNLI1RxHSq+zgteb+/4+qF7A53di3s4xdc6OcVn/ogjPUnIe49Xj/0Yge/Hj9JvP5907xj4u68agLSM+77pMmWS7fldVa2oWLD7yXjYBBDnmIfoLri5D/wADvhfVGjt0Yqjy2uv5vCoNcKzJjClA+Ljml/1+QXnzQng4B1/KK0hffVTPSY2IL/1nv59tLHpRa3pV6plCVjbAw==) 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) 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) 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) 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) 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) 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NaQCiKoUKevFl+iQQLiYPo+UZDOeTP3p+99Xwy/chbh0YvrdQSEXDKD52+7AdQ0/DO2igfsXTryi4oyzpvnOIy0sBussTE1sDcMJFvhAboGOFxorWvC+TdzRSLBf+0IA3PU5KorBkpMs8oENNXBlbDIEYqVEHtQY81PdWU32v6dz667Bkocp8OYJjR0md0jhmzU5KjqMV1DEUQGGmzHCGkXtHwyVHWwKseacFOpUOCjZX52aRKxXSi2aVhDRhBtgbRV9520YD1YTFvFRVAh5K5uYXMOjQgSQxQDe+lJA0pu9Jg2qUnEidU7RNSS56+9UINLRRn4UwgDOT0xtb3LyqU6Bf2lbT7up6Lkj7hG6vKqy9nBv2LIDISx6hMVdInx4t2JckU6HuQBDYZglXFQXU0yOAOhBmch4uBFUrwAMmgFXA/DHEULBBLSRlOyONuM0FQduiRs1AUJ04aU//uJU26kSFd8dez1TnfjKLacgq/eUzqGwWXD4e2rEP4nD10kL7RtUgWisTEc/7vH0Eom1YrfmkGTaL8od8+It+FyCjofZOK53tini3UG4M0qrvD1sESSbnzkVx/lFfNROEVpHvGmtgcPGcs4ZoEfV8vr2T6bTDVXIcInPsXL5ud7jhKJD+8GwuwHZ58ZS7GLVWgJ7xDgI8j06kKzM/BGYx3zeWlbaK18YSHrLhVKGrIeIL2Yv7y8duNyuId2aE1X1dLJVMxuwRlGLP/QiNwEKkStJDOhMjvgCXcsuf8/SIPo3AUYKXOyWosutDiYyEagOCLNGL1YjwBsrbnjvyedBv0ODfg+Q/3ZRIOrG5hspcmXmOjtYG/JQO3U3OG99vVyPm3pRSvFSFCt6HUTpqpVBBRSc/Oc6R7S7qqkBs/0eczsnkwYPKS8cV+6ftcMRT4vvDUfskyGqLa6RmQBu0OqXRfMw4iJgkp2htzSl6pANz3Owkgh4358w0TBpMuMm+IEC2bRj8qeswtnU2nfab58U67VbwW2wFAhMOjpfLuK+v50QIFp7EmUD8EafiuTTr98PiAYtGQGi6zQJNFQKrplLzTAIooxfuuR95sy5DnjR38x1JpQnYWBrRPdP4v4INkjEturBSJBNp7+dDAIwXlb8wqZf+5kXQaeV01Frr3tXg/mCZspncutUNUWVkqk8zqiLEX60rFwTPpYg5RWpBzqiFLcBRyG/CWdZdWrwPo5keyEVXVCMOvQQuIy9QGU3fT5JFl6tcdqtqHICgMinrEIXba8DLaqjlsL2zrJSk0UF5djXlERBorXj5ti0Z7TkRmiJ0BAFDuZfkaWauCtU+7GxUBxuz6xlKyaZyI5EKTZCy6y0UEhqcbsAByGBGt7vwWWwe9prK5/Dc1k+5F8Iid3CJdGMmtUCHLp+WK5JJmFEDJbdd14d5TS8fbyk+tcCdRPNIglfs+RhED1pcEKYKFKnypnxGQJm1hAJn86pO0yihlIUw1REXMheYwJk6ToBLrqYhnditYNyC2MfZJEQ/O3VUvEK8A7x0XmsSsUbGgU6pnw6IzGS7KGCJQ8fGkqWdXtEtENWMGgKOYNXJtPHycopoKHX1kqATXam5tj9KGYbdkRZaFzBa/yc6WSb2gTMBQrHDL89Wx6GNlcIMTZxoyakwRJtnmf0RU3+1/XmE+Wg87Iio/k/w3aCfOq/1U4wtX6xckOQoMtXEAF6PkwL921ciajaEM4FTGifczJsmei9XJICIzfT+HKuX38bqnJjp6fk1ICvIvpFhFtkdIxe3zYu3HW0BGPi1vE1oMla0DmKNRk+58MaGFDw57Buqzde/bj5NCDwo5kRv0yFiXjbdBe8tPxxUYVPcuFP1ElBU79Fpag0sAgo7UGaJDVmJP57nQ2uLUXiA3Ps+rOWBJFi9ntt3yLAL2SvhO6Bgsia28Y8JHBXE0roR52OI7tvgjuF1Dm6Ourj1TDXfE/ZZA2iwIMpFczxQw8+IuJSnaqcewtdzMjrqeIHSsPLWrDJHgnHQbJVWCvWnM1Y0grad/zcVuDJDnhT72DBMFbr7sA78kL+p32lN/sqdlUWV18ubJbaN+vWMNAyUL7Cb6vp50yyposjqLt1t/aDTEYjiPkUaCUV2YRMFV4xAXBDIoVll1LXCMGnATAFE6JbPo4ZO68xoY+hF3RTfCuWNHC0E98le/QyX7u4jObDNsJ4ez4ZVvzgOM4HLPqOh0kvr4Zgijtv4JZRVOgbUq9CoFfDjSi1zFqCklcT9iMQu8x787i2o63q4maeSTeTVEeJuppLufr5sL2Nqa9A9k+RGSL6U4MU83FmO9ycfG8wwVjXko0lFr+oxT5o5NBOTOycJmWoprSKDiwm92uqBq0ujJDbNxSqUMl7lHr5sHbJuQneCKp+I6qvV0H/LoNXCDZ8PdQgbVjMfIPS/jEt2rU1CY1VEBFqkaG+lLQbC2aA6wvl2nyqx3EU7E7n7fSa36MX3cgqanMWd8kYnGaPR2oNeQ75BL1q7JnVnbJYypGYFujwDMyB0uf5aXv5dlZubpvRpyBKtbOmrVL716RF89IAGNEXuli3bntPCK0NCy44ldmi/KGXGg0SRp07VmI7A7crE1cKSCljBMaETiEbM6v90wLP4CgoQfJQExBhdaRo4BcVvANQUJ6utWjLRb8IdUKmbql2PB1tU7wVj2Ak9GdjnhNn/rwt+maj+g0ysOwOhOHfbkI3aAeVcxbp8eqTdb43qNDWmOcNhucGjYLph2J4no1Zdw+hF+pRQA1/qPwYrqmPEeAIJ4xjVxHAiw8p4NUBo/DM3tFgW0P5sy5o8G67QP7HrSy0mVzkKEOxiqrIAW5MhLeiVT5+VahdtsersRnOiUNb4cEeWnmYow8w5G1GPaFEpeUMYcOdlQMSyKJJFrdFM5fORJjGoKzPV6sCrRRvUgEubCGxkwRi2S6XBnlF2zeaXHbGeYOXQHsSe4+H1aNI3GK63XYLQXfoKz8MgJCXaxG1jS3eTo/BWr3ndkP2EuACdGJO6pkQEeVWeT0GwyaJztdWqgLclLlG2C0XysN9fGDvfLnz4dl0iRIPR1Cjw2PzAD8z2+jNOzaoyVpfwSf0nA0eyr1k7kxqcb2Os64SYrl1yuj9pHxmgM8IECK0NTw5Frai8bX4LaegsgGirzo1nyaak2Fc2tA5Je50q4dpytQ6X3QgZkHVkbAkQ7HEqFsj0IWgQn9KhV7LVApNKygdZh82+zw4uqOxSZfieHdnI3dvMS/qr5fWFIY0a+Emh/E+puKdQSbFZDuqjuO9pMdrGbYh5Yogih56I4Tag4XHx8ZbDjKdQRcRwGBRwYHwUghPGVzHKSDA52ZHK91GLEhblSCXTuHBqirB1Ay22q9phVergkILaojNMrhyfADqIKn0axUUUQ38MSYIB6iRuVpLT/nZDKaninMxgRHseTkmtNe5Jg105qXpPybzLUpfTgSDYDBo31FNxhdUJ/tARp0inMqwYorVdQvUOIro9r3owhfmUwe9GLLorO5a8+1daaWJlVZruNP7orkZlXqjWDa3QqzizZLrGWb9Oewma/sXANDyxvlGw65RevDLhMMTLfl1gSE62lGRC2zk7fAX+ZJP/9qBIu/TSPD0DImRXDYnfrapppdslXgkX4tDHqQ2UdP/3GUIfMy98eYnNUpSpw9TemcVJRv+DNpE6ZWakKOYTAKGT5THyyTwIHJW2XvDlNGTI6i/oi+xpeLnhlwPWwmldmnLLFghAaRRBzrmZmR5iMpmQQnnftnz71OFMg/AdPMpEfUEhpQ1/05NSJl4x5UZ/8NE6jbVgof2deKZgQ3n2ah0HVp+XK5MOjH42naMorxuBJxlPxeZt3Wj8d7/gPG7/Tym6+8qj+PzcLtG3gnUTQlnJfzlXnAQKwyx6MFVjkdpOLg7lNb0/7fn64Yrfd43ZpBYNQmcJVjYz75KKSrU/bqAj/zt02uwzKwXaaKl+10EPavyx+mSg3+r3W+NxmmBWnlnYoNrZGt8RVxdbhf7B07VrNCKMEAk5HAiCj4htG1H8CRn9vS2cCviH1nwL/UDJIjh/+iGRmQNBHI5QRGAijbZdildOXxuZ73StqfoLoUFjpigI+hwIhioqgpHUSPDVJQSC52hCMcbPNGQfetCgfH2nPqpAG5ud6PTVuxahwreV+G1wUpDh/RjNZFPPhm/bb4fRoz5trUq3WRfVFaXzos0hPFWCsFTRvp5NjMQr4bAIc5Hnj6GvVKxKVFasfL+xeees3n1BaUVcxZRP6V+nNt/Ty7Ep7qUVncbC2GA237nK+Ux9qWNx4hUxNvqi7HaThP7MdgX51Fw2dsJG2Db189PTQoxa2ZA4KZMJpaUfOwrp7avRSU/JLyjSvcX63GhOyWCg7AV9XlqiZ97sVi7UFRHKCOtoRKMzUU03hk6ukeFU2sXX2g41SIxZ9V5PxifUdpn8VXTue+wlZUpVxjcVGC6fiSQX5+tEhNC96sWnq3iHuTI5K/IMN1TVTXcvV6HsBYZ+yAoWp1Q3GAsWyZM9OXedsUaXRUON+q5CnqwtuQwYd2QcAzgOBfn0T+j3QPv/+9QtCVlimhYvAn+WUAr+lE/DqR+K4ApBzNe9XQlxITadDcUlNMVYQkvqLBJ13VO/pXMWXYDbAPaHM7PanZVsdRbux0v6Jx+UyVx7sjhbt3Ca73IRnB7XmojnQSfhkZkRHqJsmAfmvQZtGsuO1np8nW4Jl188p6tpWVLzu9ZPGPoHRjabhP8zE3rI7YwrzAlkpcvfkYusuRZuC4qc4ktT7wRK6cUI8uI/pbJfJw8ZhC6CSXrv3vmezVFEuF3csmdRS9HqzVdSyjIT4+YdEi0kDcGIKS0KrfaWYxP8OHtCk+KD6c8PDH0tlI0OKSjbWIBKSCQ7jcq9pcJoRigtevxf9PNvc39BRTyoD82acM4Ml5n6/YLW+pwEh/t9XGfTB79wOJdzZSwr8sysf2lmvcjDsjLus26XAQdWfODNRZ96dCZfSrvfZokJ2OoCtqHWrBJXksg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.image-error-content{display:flex;flex-direction:column;align-items:center;gap:.75rem;color:var(--muted-foreground);text-align:center}div.svelte-wjdxdt .image-error-content svg{opacity:.5}div.svelte-wjdxdt .image-error-text{font-size:.875rem}div.svelte-wjdxdt .image-error-link{display:inline-flex;align-items:center;gap:.375rem;padding:.5rem 1rem;font-size:.875rem;font-weight:500;color:var(--primary);background:var(--background);border:1px solid var(--border);border-radius:.375rem;text-decoration:none;transition:all .2s ease}div.svelte-wjdxdt .image-error-link:hover{background:var(--muted);border-color:var(--primary)}.code-preview-wrapper.svelte-hp0zxr{font-family:ui-monospace,SFMono-Regular,SF Mono,Monaco,Cascadia Code,Roboto Mono,Consolas,Liberation Mono,Menlo,monospace}.code-preview-wrapper.svelte-hp0zxr pre:where(.svelte-hp0zxr){background:transparent}.code-preview-wrapper.svelte-hp0zxr code:where(.svelte-hp0zxr){background:transparent}.code-preview-overlay{position:fixed;inset:0;background-color:transparent;z-index:100000}.code-preview-content{position:fixed;inset:0;top:0!important;left:0!important;width:100dvw;height:100dvh;margin:0;padding:0;border:none;border-radius:0;background-color:transparent;box-shadow:none;display:block;overflow:hidden;transform:none!important;z-index:100001}.code-preview-iframe{display:block;width:100dvw;height:100dvh;border:0}.code-preview-close{position:absolute;z-index:100002}button.svelte-19ekn76 [data-slot=dropdown-menu-trigger]:not([data-state=open]){opacity:0}button.svelte-19ekn76:is(:where(.svelte-19ekn76):hover) [data-slot=dropdown-menu-trigger]{opacity:1}@media(max-width:768px){button.svelte-19ekn76 [data-slot=dropdown-menu-trigger]{opacity:1!important}}button.svelte-19ekn76 .stop-button:where(.svelte-19ekn76) .stop-icon{display:none}button.svelte-19ekn76 .stop-button:where(.svelte-19ekn76) .loading-icon{display:block}button.svelte-19ekn76:is(:where(.svelte-19ekn76):hover) .stop-button:where(.svelte-19ekn76) .stop-icon{display:block}button.svelte-19ekn76:is(:where(.svelte-19ekn76):hover) .stop-button:where(.svelte-19ekn76) .loading-icon{display:none} diff --git a/tools/server/public/bundle.js b/tools/server/public/bundle.js index 68f1f5d0a3..c2a9942a79 100644 --- a/tools/server/public/bundle.js +++ b/tools/server/public/bundle.js @@ -220,13 +220,13 @@ setContext,settled,tick,unmount,untrack:untrack$1},Symbol.toStringTag,{value:"Mo hat cannot be used in HTTP headers`)}this.status=status,this.location=location2}}class SvelteKitError extends Error{constructor(status,text2,message){super(message),this.status=status,this.text=text2}}new URL("sveltekit-internal://");function normalize_path(path2,trailing_slash){return path2==="/"||trailing_slash==="ignore"?path2:trailing_slash==="never"?path2.endsWith("/")?path2.slice(0,-1):path2:trailing_slash==="always"&&!path2.endsWith("/")?path2+"/":path2}function decode_pathname(pathname){ return pathname.split("%25").map(decodeURI).join("%25")}function decode_params(params){for(const key2 in params)params[key2]=decodeURIComponent(params[key2]);return params}function strip_hash({href}){return href.split("#")[0]}function make_trackable(url2,callback,search_params_callback,allow_hash=!1){const tracked=new URL(url2);Object.defineProperty(tracked,"searchParams",{value:new Proxy(tracked.searchParams,{get(obj,key2){if(key2==="get"||key2==="getAll"||key2==="has")return(param,...rest)=>(search_params_callback( param),obj[key2](param,...rest));callback();const value=Reflect.get(obj,key2);return typeof value=="function"?value.bind(obj):value}}),enumerable:!0,configurable:!0});const tracked_url_properties=["href","pathname","search","toString","toJSON"];allow_hash&&tracked_url_properties.push("hash");for(const property of tracked_url_properties)Object.defineProperty(tracked,property,{get(){return callback(),url2[property]},enumerable:!0,configurable:!0});return tracked}function noop$2(){}function hash$1(...values){ -let hash2=5381;for(const value of values)if(typeof value=="string"){let i=value.length;for(;i;)hash2=hash2*33^value.charCodeAt(--i)}else if(ArrayBuffer.isView(value)){const buffer=new Uint8Array(value.buffer,value.byteOffset,value.byteLength);let i=buffer.length;for(;i;)hash2=hash2*33^buffer[--i]}else throw new TypeError("value must be a string or TypedArray");return(hash2>>>0).toString(36)}new TextEncoder;new TextDecoder;function base64_decode(encoded){const binary=atob(encoded),bytes=new Uint8Array( -binary.length);for(let i=0;i((input instanceof Request?input.method:init2?.method||"GET")!=="GET"&&cache.delete(build_selector(input)),native_fetch(input,init2));const cache=new Map;function initial_fetch(resource,opts){const selector=build_selector(resource,opts),script=document.querySelector(selector);if(script?.textContent){script.remove();let{body:body2,...init2}=JSON.parse( -script.textContent);const ttl=script.getAttribute("data-ttl");return ttl&&cache.set(selector,{body:body2,init:init2,ttl:1e3*Number(ttl)}),script.getAttribute("data-b64")!==null&&(body2=base64_decode(body2)),Promise.resolve(new Response(body2,init2))}return window.fetch(resource,opts)}function subsequent_fetch(resource,resolved,opts){if(cache.size>0){const selector=build_selector(resource,opts),cached2=cache.get(selector);if(cached2){if(performance.now(){const rest_match=/^\[\.\.\.(\w+)(?:=(\w+))?\]$/.exec(segment);if(rest_match)return params.push({name:rest_match[1],matcher:rest_match[2],optional:!1,rest:!0,chained:!0}),"(?:/([^]*))?";const optional_match=/^\[\[(\w+)(?:=(\w+))?\]\]$/. -exec(segment);if(optional_match)return params.push({name:optional_match[1],matcher:optional_match[2],optional:!0,rest:!1,chained:!0}),"(?:/([^/]+))?";if(!segment)return;const parts=segment.split(/\[(.+?)\](?!\])/);return"/"+parts.map((content2,i)=>{if(i%2){if(content2.startsWith("x+"))return escape$3(String.fromCharCode(parseInt(content2.slice(2),16)));if(content2.startsWith("u+"))return escape$3(String.fromCharCode(...content2.slice(2).split("-").map(code2=>parseInt(code2,16))));const match=param_pattern. -exec(content2),[,is_optional,is_rest,name,matcher]=match;return params.push({name,matcher,optional:!!is_optional,rest:!!is_rest,chained:is_rest?i===1&&parts[0]==="":!1}),is_rest?"([^]*?)":is_optional?"([^/]*)?":"([^/]+?)"}return escape$3(content2)}).join("")}).join("")}/?$`),params}}function affects_path(segment){return segment!==""&&!/^\([^)]+\)$/.test(segment)}function get_route_segments(route){return route.slice(1).split("/").filter(affects_path)}function exec(match,params,matchers2){const result={}, +let hash2=5381;for(const value of values)if(typeof value=="string"){let i=value.length;for(;i;)hash2=hash2*33^value.charCodeAt(--i)}else if(ArrayBuffer.isView(value)){const buffer=new Uint8Array(value.buffer,value.byteOffset,value.byteLength);let i=buffer.length;for(;i;)hash2=hash2*33^buffer[--i]}else throw new TypeError("value must be a string or TypedArray");return(hash2>>>0).toString(36)}new TextEncoder;function base64_decode(encoded){const binary=atob(encoded),bytes=new Uint8Array(binary.length); +for(let i=0;i((input instanceof Request?input.method:init2?.method||"GET")!=="GET"&&cache.delete(build_selector(input)),native_fetch(input,init2));const cache=new Map;function initial_fetch(resource,opts){const selector=build_selector(resource,opts),script=document.querySelector(selector);if(script?.textContent){script.remove();let{body:body2,...init2}=JSON.parse(script.textContent); +const ttl=script.getAttribute("data-ttl");return ttl&&cache.set(selector,{body:body2,init:init2,ttl:1e3*Number(ttl)}),script.getAttribute("data-b64")!==null&&(body2=base64_decode(body2)),Promise.resolve(new Response(body2,init2))}return window.fetch(resource,opts)}function subsequent_fetch(resource,resolved,opts){if(cache.size>0){const selector=build_selector(resource,opts),cached2=cache.get(selector);if(cached2){if(performance.now(){const rest_match=/^\[\.\.\.(\w+)(?:=(\w+))?\]$/.exec(segment);if(rest_match)return params.push({name:rest_match[1],matcher:rest_match[2],optional:!1,rest:!0,chained:!0}),"(?:/([^]*))?";const optional_match=/^\[\[(\w+)(?:=(\w+))?\]\]$/.exec(segment); +if(optional_match)return params.push({name:optional_match[1],matcher:optional_match[2],optional:!0,rest:!1,chained:!0}),"(?:/([^/]+))?";if(!segment)return;const parts=segment.split(/\[(.+?)\](?!\])/);return"/"+parts.map((content2,i)=>{if(i%2){if(content2.startsWith("x+"))return escape$3(String.fromCharCode(parseInt(content2.slice(2),16)));if(content2.startsWith("u+"))return escape$3(String.fromCharCode(...content2.slice(2).split("-").map(code2=>parseInt(code2,16))));const match=param_pattern.exec( +content2),[,is_optional,is_rest,name,matcher]=match;return params.push({name,matcher,optional:!!is_optional,rest:!!is_rest,chained:is_rest?i===1&&parts[0]==="":!1}),is_rest?"([^]*?)":is_optional?"([^/]*)?":"([^/]+?)"}return escape$3(content2)}).join("")}).join("")}/?$`),params}}function affects_path(segment){return segment!==""&&!/^\([^)]+\)$/.test(segment)}function get_route_segments(route){return route.slice(1).split("/").filter(affects_path)}function exec(match,params,matchers2){const result={}, values=match.slice(1),values_needing_match=values.filter(value=>value!==void 0);let buffered=0;for(let i=0;is2).join("/"),buffered=0),value===void 0)if(param.rest)value="";else continue;if(!param.matcher||matchers2[param.matcher](value)){result[param.name]=value;const next_param=params[i+1],next_value=values[i+1];next_param&&!next_param.rest&& next_param.optional&&next_value&¶m.chained&&(buffered=0),!next_param&&!next_value&&Object.keys(result).length===values_needing_match.length&&(buffered=0);continue}if(param.optional&¶m.chained){buffered++;continue}return}if(!buffered)return result}function escape$3(str){return str.normalize().replace(/[[\]]/g,"\\$&").replace(/%/g,"%25").replace(/\//g,"%2[Ff]").replace(/\?/g,"%3[Ff]").replace(/#/g,"%23").replace(/[.*+?^${}()|\\]/g,"\\$&")}function parse$5({nodes:nodes2,server_loads:server_loads2, dictionary:dictionary2,matchers:matchers2}){const layouts_with_server_load=new Set(server_loads2);return Object.entries(dictionary2).map(([id2,[leaf2,layouts,errors2]])=>{const{pattern:pattern2,params}=parse_route_id(id2),route={id:id2,exec:path2=>{const match=pattern2.exec(path2);if(match)return exec(match,params,matchers2)},errors:[1,...errors2||[]].map(n=>nodes2[n]),layouts:[0,...layouts||[]].map(create_layout_loader),leaf:create_leaf_loader(leaf2)};return route.errors.length=route.layouts.length= @@ -238,21 +238,22 @@ SVGAElement?a.target.baseVal:a.target,external=!url2||!!target2||is_external_url link_option(el,"preload-code")),preload_data===null&&(preload_data=link_option(el,"preload-data")),keepfocus===null&&(keepfocus=link_option(el,"keepfocus")),noscroll===null&&(noscroll=link_option(el,"noscroll")),reload===null&&(reload=link_option(el,"reload")),replace_state===null&&(replace_state=link_option(el,"replacestate")),el=parent_element(el);function get_option_state(value){switch(value){case"":case"true":return!0;case"off":case"false":return!1;default:return}}return{preload_code:levels[preload_code?? 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updated2&&(set2(!0),updated_listener.v(),clearTimeout(timeout)),updated2}catch{return!1}} -return{subscribe,check}}function is_external_url(url2,base2,hash_routing){return url2.origin!==origin||!url2.pathname.startsWith(base2)?!0:hash_routing?url2.pathname!==location.pathname:!1}const valid_layout_exports=new Set(["load","prerender","csr","ssr","trailingSlash","config"]);[...valid_layout_exports];const valid_layout_server_exports=new Set([...valid_layout_exports]);[...valid_layout_server_exports];function compact(arr){return arr.filter(val=>val!=null)}function get_status(error2){return error2 instanceof -HttpError||error2 instanceof SvelteKitError?error2.status:500}function get_message(error2){return error2 instanceof SvelteKitError?error2.text:"Internal Error"}let page$3,navigating,updated;const is_legacy=onMount$1.toString().includes("$$")||/function \w+\(\) \{\}/.test(onMount$1.toString()),placeholder_url="a:";is_legacy?(page$3={data:{},form:null,error:null,params:{},route:{id:null},state:{},status:-1,url:new URL(placeholder_url)},navigating={current:null},updated={current:!1}):(page$3=new class{#data=state$1( -{});get data(){return get$3(this.#data)}set data(value){set$1(this.#data,value)}#form=state$1(null);get form(){return get$3(this.#form)}set form(value){set$1(this.#form,value)}#error=state$1(null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value)}#params=state$1({});get params(){return get$3(this.#params)}set params(value){set$1(this.#params,value)}#route=state$1({id:null});get route(){return get$3(this.#route)}set route(value){set$1(this.#route,value)}#state=state$1( -{});get state(){return get$3(this.#state)}set state(value){set$1(this.#state,value)}#status=state$1(-1);get status(){return get$3(this.#status)}set status(value){set$1(this.#status,value)}#url=state$1(new URL(placeholder_url));get url(){return get$3(this.#url)}set url(value){set$1(this.#url,value)}},navigating=new class{#current=state$1(null);get current(){return get$3(this.#current)}set current(value){set$1(this.#current,value)}},updated=new class{#current=state$1(!1);get current(){return get$3( -this.#current)}set current(value){set$1(this.#current,value)}},updated_listener.v=()=>updated.current=!0);function update(new_page){Object.assign(page$3,new_page)}const noop_span={spanContext(){return noop_span_context},setAttribute(){return this},setAttributes(){return this},addEvent(){return this},setStatus(){return this},updateName(){return this},end(){return this},isRecording(){return!1},recordException(){return this},addLink(){return this},addLinks(){return this}},noop_span_context={traceId:"", -spanId:"",traceFlags:0},{onMount}=svelte,untrack=untrack$1??(value=>value()),ICON_REL_ATTRIBUTES=new Set(["icon","shortcut icon","apple-touch-icon"]);let rendering_error=null;const scroll_positions=get$2(SCROLL_KEY)??{},snapshots=get$2(SNAPSHOT_KEY)??{},stores={url:notifiable_store({}),page:notifiable_store({}),navigating:writable(null),updated:create_updated_store()};function update_scroll_positions(index2){scroll_positions[index2]=scroll_state()}function clear_onward_history(current_history_index2,current_navigation_index2){ -let i=current_history_index2+1;for(;scroll_positions[i];)delete scroll_positions[i],i+=1;for(i=current_navigation_index2+1;snapshots[i];)delete snapshots[i],i+=1}function native_navigation(url2,replace2=!1){return replace2?location.replace(url2.href):location.href=url2.href,new Promise(noop$2)}async function update_service_worker(){if("serviceWorker"in navigator){const registration=await navigator.serviceWorker.getRegistration(base||"/");registration&&await registration.update()}}let routes,default_layout_loader, -default_error_loader,container,target,app$1;const invalidated=[],components=[];let load_cache=null;function discard_load_cache(){load_cache?.fork?.then(f=>f?.discard()),load_cache=null}const reroute_cache=new Map,before_navigate_callbacks=new Set,on_navigate_callbacks=new Set,after_navigate_callbacks=new Set;let current={branch:[],error:null,url:null},hydrated=!1,started=!1,autoscroll=!0,is_navigating=!1,hash_navigating=!1,has_navigated=!1,force_invalidation=!1,root$1X,current_history_index,current_navigation_index, -token;const preload_tokens=new Set,query_map=new Map;async function start$1(_app,_target,hydrate2){globalThis.__sveltekit__&&(globalThis.__sveltekit__.query,globalThis.__sveltekit__.prerender),document.URL!==location.href&&(location.href=location.href),app$1=_app,await _app.hooks.init?.(),routes=parse$5(_app),container=document.documentElement,target=_target,default_layout_loader=_app.nodes[0],default_error_loader=_app.nodes[1],default_layout_loader(),default_error_loader(),current_history_index= -history.state?.[HISTORY_INDEX],current_navigation_index=history.state?.[NAVIGATION_INDEX],current_history_index||(current_history_index=current_navigation_index=Date.now(),history.replaceState({...history.state,[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index},""));const scroll=scroll_positions[current_history_index];function restore_scroll(){scroll&&(history.scrollRestoration="manual",scrollTo(scroll.x,scroll.y))}hydrate2?(restore_scroll(),await _hydrate(target, -hydrate2)):(await navigate({type:"enter",url:resolve_url(app$1.hash?decode_hash(new URL(location.href)):location.href),replace_state:!0}),restore_scroll()),_start_router()}function reset_invalidation(){invalidated.length=0,force_invalidation=!1}function capture_snapshot(index2){components.some(c2=>c2?.snapshot)&&(snapshots[index2]=components.map(c2=>c2?.snapshot?.capture()))}function restore_snapshot(index2){snapshots[index2]?.forEach((value,i)=>{components[i]?.snapshot?.restore(value)})}function persist_state(){ -update_scroll_positions(current_history_index),set(SCROLL_KEY,scroll_positions),capture_snapshot(current_navigation_index),set(SNAPSHOT_KEY,snapshots)}async function _goto(url2,options,redirect_count,nav_token){let query_keys;options.invalidateAll&&discard_load_cache(),await navigate({type:"goto",url:resolve_url(url2),keepfocus:options.keepFocus,noscroll:options.noScroll,replace_state:options.replaceState,state:options.state,redirect_count,nav_token,accept:()=>{options.invalidateAll&&(force_invalidation= -!0,query_keys=[],query_map.forEach((entries,id2)=>{for(const payload of entries.keys())query_keys.push(id2+"/"+payload)})),options.invalidate&&options.invalidate.forEach(push_invalidated)}}),options.invalidateAll&&tick().then(tick).then(()=>{query_map.forEach((entries,id2)=>{entries.forEach(({resource},payload)=>{query_keys?.includes(id2+"/"+payload)&&resource.refresh?.()})})})}async function _preload_data(intent){if(intent.id!==load_cache?.id){discard_load_cache();const preload2={};preload_tokens. +return{subscribe,check}}function is_external_url(url2,base2,hash_routing){return url2.origin!==origin||!url2.pathname.startsWith(base2)?!0:hash_routing?url2.pathname!==location.pathname:!1}const valid_layout_exports=new Set(["load","prerender","csr","ssr","trailingSlash","config"]);[...valid_layout_exports];const valid_layout_server_exports=new Set([...valid_layout_exports]);[...valid_layout_server_exports];function compact(arr){return arr.filter(val=>val!=null)}function create_remote_key(id2,payload){ +return id2+"/"+payload}function get_status(error2){return error2 instanceof HttpError||error2 instanceof SvelteKitError?error2.status:500}function get_message(error2){return error2 instanceof SvelteKitError?error2.text:"Internal Error"}let page$3,navigating,updated;const is_legacy=onMount$1.toString().includes("$$")||/function \w+\(\) \{\}/.test(onMount$1.toString()),placeholder_url="a:";is_legacy?(page$3={data:{},form:null,error:null,params:{},route:{id:null},state:{},status:-1,url:new URL(placeholder_url)}, +navigating={current:null},updated={current:!1}):(page$3=new class{#data=state$1({});get data(){return get$3(this.#data)}set data(value){set$1(this.#data,value)}#form=state$1(null);get form(){return get$3(this.#form)}set form(value){set$1(this.#form,value)}#error=state$1(null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value)}#params=state$1({});get params(){return get$3(this.#params)}set params(value){set$1(this.#params,value)}#route=state$1({id:null});get route(){return get$3( +this.#route)}set route(value){set$1(this.#route,value)}#state=state$1({});get state(){return get$3(this.#state)}set state(value){set$1(this.#state,value)}#status=state$1(-1);get status(){return get$3(this.#status)}set status(value){set$1(this.#status,value)}#url=state$1(new URL(placeholder_url));get url(){return get$3(this.#url)}set url(value){set$1(this.#url,value)}},navigating=new class{#current=state$1(null);get current(){return get$3(this.#current)}set current(value){set$1(this.#current,value)}}, +updated=new class{#current=state$1(!1);get current(){return get$3(this.#current)}set current(value){set$1(this.#current,value)}},updated_listener.v=()=>updated.current=!0);function update(new_page){Object.assign(page$3,new_page)}const noop_span={spanContext(){return noop_span_context},setAttribute(){return this},setAttributes(){return this},addEvent(){return this},setStatus(){return this},updateName(){return this},end(){return this},isRecording(){return!1},recordException(){return this},addLink(){ +return this},addLinks(){return this}},noop_span_context={traceId:"",spanId:"",traceFlags:0},{onMount}=svelte,untrack=untrack$1??(value=>value()),ICON_REL_ATTRIBUTES=new Set(["icon","shortcut icon","apple-touch-icon"]);let rendering_error=null;const scroll_positions=get$2(SCROLL_KEY)??{},snapshots=get$2(SNAPSHOT_KEY)??{},stores={url:notifiable_store({}),page:notifiable_store({}),navigating:writable(null),updated:create_updated_store()};function update_scroll_positions(index2){scroll_positions[index2]= +scroll_state()}function clear_onward_history(current_history_index2,current_navigation_index2){let i=current_history_index2+1;for(;scroll_positions[i];)delete scroll_positions[i],i+=1;for(i=current_navigation_index2+1;snapshots[i];)delete snapshots[i],i+=1}function native_navigation(url2,replace2=!1){return replace2?location.replace(url2.href):location.href=url2.href,new Promise(noop$2)}async function update_service_worker(){if("serviceWorker"in navigator){const registration=await navigator.serviceWorker. +getRegistration(base||"/");registration&&await registration.update()}}let routes,default_layout_loader,default_error_loader,container,target,app$1;const invalidated=[],components=[];let load_cache=null;function discard_load_cache(){load_cache?.fork?.then(f=>f?.discard()),load_cache=null}const reroute_cache=new Map,before_navigate_callbacks=new Set,on_navigate_callbacks=new Set,after_navigate_callbacks=new Set;let current={branch:[],error:null,url:null},hydrated=!1,started=!1,autoscroll=!0,is_navigating=!1, +hash_navigating=!1,has_navigated=!1,force_invalidation=!1,root$21,current_history_index,current_navigation_index,token;const preload_tokens=new Set,query_map=new Map,live_query_map=new Map;async function start$1(_app,_target,hydrate2){globalThis.__sveltekit__&&(globalThis.__sveltekit__.query,globalThis.__sveltekit__.prerender),document.URL!==location.href&&(location.href=location.href),app$1=_app,await _app.hooks.init?.(),routes=parse$5(_app),container=document.documentElement,target= +_target,default_layout_loader=_app.nodes[0],default_error_loader=_app.nodes[1],default_layout_loader(),default_error_loader(),current_history_index=history.state?.[HISTORY_INDEX],current_navigation_index=history.state?.[NAVIGATION_INDEX],current_history_index||(current_history_index=current_navigation_index=Date.now(),history.replaceState({...history.state,[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index},""));const scroll=scroll_positions[current_history_index]; +function restore_scroll(){scroll&&(history.scrollRestoration="manual",scrollTo(scroll.x,scroll.y))}hydrate2?(restore_scroll(),await _hydrate(target,hydrate2)):(await navigate({type:"enter",url:resolve_url(app$1.hash?decode_hash(new URL(location.href)):location.href),replace_state:!0}),restore_scroll()),_start_router()}function reset_invalidation(){invalidated.length=0,force_invalidation=!1}function capture_snapshot(index2){components.some(c2=>c2?.snapshot)&&(snapshots[index2]=components.map(c2=>c2?. +snapshot?.capture()))}function restore_snapshot(index2){snapshots[index2]?.forEach((value,i)=>{components[i]?.snapshot?.restore(value)})}function persist_state(){update_scroll_positions(current_history_index),set(SCROLL_KEY,scroll_positions),capture_snapshot(current_navigation_index),set(SNAPSHOT_KEY,snapshots)}async function _goto(url2,options,redirect_count,nav_token){let query_keys,live_query_keys;options.invalidateAll&&discard_load_cache(),await navigate({type:"goto",url:resolve_url(url2),keepfocus:options. +keepFocus,noscroll:options.noScroll,replace_state:options.replaceState,state:options.state,redirect_count,nav_token,accept:()=>{if(options.invalidateAll){force_invalidation=!0,query_keys=new Set;for(const[id2,entries]of query_map)for(const payload of entries.keys())query_keys.add(create_remote_key(id2,payload));live_query_keys=new Set;for(const[id2,entries]of live_query_map)for(const payload of entries.keys())live_query_keys.add(create_remote_key(id2,payload))}options.invalidate&&options.invalidate. +forEach(push_invalidated)}}),options.invalidateAll&&tick().then(tick).then(()=>{for(const[id2,entries]of query_map)for(const[payload,{resource}]of entries)query_keys?.has(create_remote_key(id2,payload))&&resource.refresh();for(const[id2,entries]of live_query_map)for(const[payload,{resource}]of entries)live_query_keys?.has(create_remote_key(id2,payload))&&resource.reconnect()})}async function _preload_data(intent){if(intent.id!==load_cache?.id){discard_load_cache();const preload2={};preload_tokens. add(preload2),load_cache={id:intent.id,token:preload2,promise:load_route({...intent,preload:preload2}).then(result=>(preload_tokens.delete(preload2),result.type==="loaded"&&result.state.error&&discard_load_cache(),result)),fork:null}}return load_cache.promise}async function _preload_code(url2){const route=(await get_navigation_intent(url2,!1))?.route;route&&await Promise.all([...route.layouts,route.leaf].filter(Boolean).map(load2=>load2[1]()))}async function initialize(result,target2,hydrate2){const nav={ -params:current.params,route:{id:current.route?.id??null},url:new URL(location.href)};current={...result.state,nav};const style2=document.querySelector("style[data-sveltekit]");if(style2&&style2.remove(),Object.assign(page$3,result.props.page),root$1X=new app$1.root({target:target2,props:{...result.props,stores,components},hydrate:hydrate2,sync:!1,transformError:void 0}),await Promise.resolve(),restore_snapshot(current_navigation_index),hydrate2){const navigation={from:null,to:{...nav,scroll:scroll_positions[current_history_index]?? +params:current.params,route:{id:current.route?.id??null},url:new URL(location.href)};current={...result.state,nav};const style2=document.querySelector("style[data-sveltekit]");if(style2&&style2.remove(),Object.assign(page$3,result.props.page),root$21=new app$1.root({target:target2,props:{...result.props,stores,components},hydrate:hydrate2,sync:!1,transformError:void 0}),await Promise.resolve(),restore_snapshot(current_navigation_index),hydrate2){const navigation={from:null,to:{...nav,scroll:scroll_positions[current_history_index]?? scroll_state()},willUnload:!1,type:"enter",complete:Promise.resolve()};after_navigate_callbacks.forEach(fn=>fn(navigation))}started=!0}async function get_navigation_result_from_branch({url:url2,params,branch:branch2,errors:errors2,status,error:error2,route,form}){let slash="never";if(base&&(url2.pathname===base||url2.pathname===base+"/"))slash="always";else for(const node2 of branch2)node2?.slash!==void 0&&(slash=node2.slash);url2.pathname=normalize_path(url2.pathname,slash),url2.search=url2.search; const result={type:"loaded",state:{url:url2,params,branch:branch2,error:error2,route},props:{constructors:compact(branch2).map(branch_node=>branch_node.node.component),page:clone_page(page$3)}};form!==void 0&&(result.props.form=form);let data={},data_changed=!page$3,p2=0;for(let i=0;ifn(nav.navigation)))).filter(value=>typeof value== "function");if(after_navigate.length>0){let cleanup=function(){after_navigate.forEach(fn=>{after_navigate_callbacks.delete(fn)})};after_navigate.push(cleanup),after_navigate.forEach(fn=>{after_navigate_callbacks.add(fn)})}const target2=nav.navigation.to;current={...navigation_result.state,nav:{params:target2.params,route:target2.route,url:target2.url}},navigation_result.props.page&&(navigation_result.props.page.url=url2);const fork=load_cache_fork&&await load_cache_fork;fork?commit_promise=fork. -commit():(rendering_error=null,root$1X.$set(navigation_result.props),rendering_error&&Object.assign(navigation_result.props.page,rendering_error),update(navigation_result.props.page),commit_promise=settled?.()),has_navigated=!0}else await initialize(navigation_result,target,!1);const{activeElement}=document;await commit_promise,await tick(),await tick();let deep_linked=null;if(autoscroll){const scroll=popped?popped.scroll:noscroll?scroll_state():null;scroll?scrollTo(scroll.x,scroll.y):(deep_linked= +commit():(rendering_error=null,root$21.$set(navigation_result.props),rendering_error&&Object.assign(navigation_result.props.page,rendering_error),update(navigation_result.props.page),commit_promise=settled?.()),has_navigated=!0}else await initialize(navigation_result,target,!1);const{activeElement}=document;await commit_promise,await tick(),await tick();let deep_linked=null;if(autoscroll){const scroll=popped?popped.scroll:noscroll?scroll_state():null;scroll?scrollTo(scroll.x,scroll.y):(deep_linked= url2.hash&&document.getElementById(get_id(url2)))?deep_linked.scrollIntoView():scrollTo(0,0)}const changed_focus=document.activeElement!==activeElement&&document.activeElement!==document.body;!keepfocus&&!changed_focus&&reset_focus(url2,!deep_linked),autoscroll=!0,navigation_result.props.page&&(rendering_error&&Object.assign(navigation_result.props.page,rendering_error),Object.assign(page$3,navigation_result.props.page)),is_navigating=!1,type2==="popstate"&&restore_snapshot(current_navigation_index), nav.fulfil(void 0),nav.navigation.to&&(nav.navigation.to.scroll=scroll_state()),after_navigate_callbacks.forEach(fn=>fn(nav.navigation)),stores.navigating.set(navigating.current=null)}async function server_fallback(url2,route,error2,status,replace_state){return url2.origin===origin&&url2.pathname===location.pathname&&!hydrated?await load_root_error_page({status,error:error2,url:url2,route}):await native_navigation(url2,replace_state)}function setup_preload(){let mousemove_timeout,current_a={element:void 0, href:void 0},current_priority;container.addEventListener("mousemove",event2=>{const target2=event2.target;clearTimeout(mousemove_timeout),mousemove_timeout=setTimeout(()=>{preload2(target2,PRELOAD_PRIORITIES.hover)},20)});function tap2(event2){event2.defaultPrevented||preload2(event2.composedPath()[0],PRELOAD_PRIORITIES.tap)}container.addEventListener("mousedown",tap2),container.addEventListener("touchstart",tap2,{passive:!0});const observer=new IntersectionObserver(entries=>{for(const entry of entries) @@ -286,7 +287,7 @@ entry.isIntersecting&&(_preload_code(new URL(entry.target.href)),observer.unobse if(!(options.reload||same_url))if(priority<=options.preload_data){current_a={element:a,href:a.href},current_priority=PRELOAD_PRIORITIES.tap;const intent=await get_navigation_intent(url2,!1);if(!intent)return;_preload_data(intent)}else priority<=options.preload_code&&(current_a={element:a,href:a.href},current_priority=priority,_preload_code(url2))}function after_navigate(){observer.disconnect();for(const a of container.querySelectorAll("a")){const{url:url2,external,download}=get_link_info(a,base, app$1.hash);if(external||download)continue;const options=get_router_options(a);options.reload||(options.preload_code===PRELOAD_PRIORITIES.viewport&&observer.observe(a),options.preload_code===PRELOAD_PRIORITIES.eager&&_preload_code(url2))}}after_navigate_callbacks.add(after_navigate),after_navigate()}function handle_error(error2,event2){if(error2 instanceof HttpError)return error2.body;const status=get_status(error2),message=get_message(error2);return app$1.hooks.handleError({error:error2,event:event2, status,message})??{message}}function add_navigation_callback(callbacks,callback){onMount(()=>(callbacks.add(callback),()=>{callbacks.delete(callback)}))}function afterNavigate(callback){add_navigation_callback(after_navigate_callbacks,callback)}function beforeNavigate(callback){add_navigation_callback(before_navigate_callbacks,callback)}function goto(url2,opts={}){return url2=new URL(resolve_url(url2)),url2.origin!==origin?Promise.reject(new Error("goto: invalid URL")):_goto(url2,opts,0)}function push_invalidated(resource){ -if(typeof resource=="function")invalidated.push(resource);else{const{href}=new URL(resource,location.href);invalidated.push(url2=>url2.href===href)}}function replaceState(url2,state2){const opts={[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index,[PAGE_URL_KEY]:page$3.url.href,[STATES_KEY]:state2};history.replaceState(opts,"",resolve_url(url2)),page$3.state=state2,root$1X.$set({page:untrack(()=>clone_page(page$3))})}function _start_router(){history.scrollRestoration= +if(typeof resource=="function")invalidated.push(resource);else{const{href}=new URL(resource,location.href);invalidated.push(url2=>url2.href===href)}}function replaceState(url2,state2){const opts={[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index,[PAGE_URL_KEY]:page$3.url.href,[STATES_KEY]:state2};history.replaceState(opts,"",resolve_url(url2)),page$3.state=state2,root$21.$set({page:untrack(()=>clone_page(page$3))})}function _start_router(){history.scrollRestoration= "manual",addEventListener("beforeunload",e=>{let should_block=!1;if(persist_state(),!is_navigating){const nav=create_navigation(current,void 0,null,"leave"),navigation={...nav.navigation,cancel:()=>{should_block=!0,nav.reject(new Error("navigation cancelled"))}};before_navigate_callbacks.forEach(fn=>fn(navigation))}should_block?(e.preventDefault(),e.returnValue=""):history.scrollRestoration="auto"}),addEventListener("visibilitychange",()=>{document.visibilityState==="hidden"&&persist_state()}),navigator. connection?.saveData||setup_preload(),container.addEventListener("click",async event2=>{if(event2.button||event2.which!==1||event2.metaKey||event2.ctrlKey||event2.shiftKey||event2.altKey||event2.defaultPrevented)return;const a=find_anchor(event2.composedPath()[0],container);if(!a)return;const{url:url2,external,target:target2,download}=get_link_info(a,base,app$1.hash);if(!url2)return;if(target2==="_parent"||target2==="_top"){if(window.parent!==window)return}else if(target2&&target2!=="_self")return; const options=get_router_options(a);if(!(a instanceof SVGAElement)&&url2.protocol!==location.protocol&&!(url2.protocol==="https:"||url2.protocol==="http:")||download)return;const[nonhash,hash2]=(app$1.hash?url2.hash.replace(/^#/,""):url2.href).split("#"),same_pathname=nonhash===strip_hash(location);if(external||options.reload&&(!same_pathname||!hash2)){_before_navigate({url:url2,type:"link",event:event2})?is_navigating=!0:event2.preventDefault();return}if(hash2!==void 0&&same_pathname){const[,current_hash]=current. @@ -307,20 +308,20 @@ fulfil,reject}}function clone_page(page2){return{data:page2.data,error:page2.err return new URL(dep,importerUrl).href},seen={},__vitePreload=function(baseModule,deps,importerUrl){let promise=Promise.resolve();if(deps&&deps.length>0){let allSettled=function(promises$2){return Promise.all(promises$2.map(p2=>Promise.resolve(p2).then(value$1=>({status:"fulfilled",value:value$1}),reason=>({status:"rejected",reason}))))};const links=document.getElementsByTagName("link"),cspNonceMeta=document.querySelector("meta[property=csp-nonce]"),cspNonce=cspNonceMeta?.nonce||cspNonceMeta?.getAttribute( "nonce");promise=allSettled(deps.map(dep=>{if(dep=assetsURL(dep,importerUrl),dep in seen)return;seen[dep]=!0;const isCss=dep.endsWith(".css"),cssSelector=isCss?'[rel="stylesheet"]':"";if(importerUrl)for(let i$1=links.length-1;i$1>=0;i$1--){const link$12=links[i$1];if(link$12.href===dep&&(!isCss||link$12.rel==="stylesheet"))return}else if(document.querySelector(`link[href="${dep}"]${cssSelector}`))return;const link2=document.createElement("link");if(link2.rel=isCss?"stylesheet":scriptRel,isCss||(link2. as="script"),link2.crossOrigin="",link2.href=dep,cspNonce&&link2.setAttribute("nonce",cspNonce),document.head.appendChild(link2),isCss)return new Promise((res,rej)=>{link2.addEventListener("load",res),link2.addEventListener("error",()=>rej(new Error(`Unable to preload CSS for ${dep}`)))})}))}function handlePreloadError(err$2){const e$1=new Event("vite:preloadError",{cancelable:!0});if(e$1.payload=err$2,window.dispatchEvent(e$1),!e$1.defaultPrevented)throw err$2}return promise.then(res=>{for(const item of res|| -[])item.status==="rejected"&&handlePreloadError(item.reason);return baseModule().catch(handlePreloadError)})},matchers={},PUBLIC_VERSION="5";typeof window<"u"&&((window.__svelte??={}).v??=new Set).add(PUBLIC_VERSION);var root_7$w=from_html('
'),root$1W=from_html(" ", +[])item.status==="rejected"&&handlePreloadError(item.reason);return baseModule().catch(handlePreloadError)})},matchers={},PUBLIC_VERSION="5";typeof window<"u"&&((window.__svelte??={}).v??=new Set).add(PUBLIC_VERSION);var root_7$w=from_html('
'),root$20=from_html(" ", 1);function Root$6($$anchor,$$props){push$1($$props,!0);let components2=prop($$props,"components",23,()=>[]),data_0=prop($$props,"data_0",3,null),data_1=prop($$props,"data_1",3,null),data_2=prop($$props,"data_2",3,null);user_pre_effect(()=>$$props.stores.page.set($$props.page)),user_effect(()=>{$$props.stores,$$props.page,$$props.constructors,components2(),$$props.form,data_0(),data_1(),data_2(),$$props.stores.page.notify()});let mounted=state$1(!1),navigated=state$1(!1),title2=state$1(null);onMount$1( -()=>{const unsubscribe=$$props.stores.page.subscribe(()=>{get$3(mounted)&&(set$1(navigated,!0),tick().then(()=>{set$1(title2,document.title||"untitled page",!0)}))});return set$1(mounted,!0),unsubscribe});const Pyramid_2=user_derived(()=>$$props.constructors[2]);var fragment=root$1W(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{const Pyramid_0=user_derived(()=>$$props.constructors[0]);var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>get$3(Pyramid_0),($$anchor3,Pyramid_0_1)=>{ +()=>{const unsubscribe=$$props.stores.page.subscribe(()=>{get$3(mounted)&&(set$1(navigated,!0),tick().then(()=>{set$1(title2,document.title||"untitled page",!0)}))});return set$1(mounted,!0),unsubscribe});const Pyramid_2=user_derived(()=>$$props.constructors[2]);var fragment=root$20(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{const Pyramid_0=user_derived(()=>$$props.constructors[0]);var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>get$3(Pyramid_0),($$anchor3,Pyramid_0_1)=>{ bind_this(Pyramid_0_1($$anchor3,{get data(){return data_0()},get form(){return $$props.form},get params(){return $$props.page.params},children:($$anchor4,$$slotProps)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor5=>{const Pyramid_1=user_derived(()=>$$props.constructors[1]);var fragment_3=comment$2(),node_3=first_child(fragment_3);component(node_3,()=>get$3(Pyramid_1),($$anchor6,Pyramid_1_1)=>{bind_this(Pyramid_1_1($$anchor6,{get data(){return data_1()},get form(){ return $$props.form},get params(){return $$props.page.params},children:($$anchor7,$$slotProps2)=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);component(node_4,()=>get$3(Pyramid_2),($$anchor8,Pyramid_2_1)=>{bind_this(Pyramid_2_1($$anchor8,{get data(){return data_2()},get form(){return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[2]=$$value,()=>components2()?.[2])}),append($$anchor7,fragment_4)},$$slots:{default:!0}}),$$value=>components2()[1]=$$value, ()=>components2()?.[1])}),append($$anchor5,fragment_3)},alternate=$$anchor5=>{const Pyramid_1=user_derived(()=>$$props.constructors[1]);var fragment_5=comment$2(),node_5=first_child(fragment_5);component(node_5,()=>get$3(Pyramid_1),($$anchor6,Pyramid_1_2)=>{bind_this(Pyramid_1_2($$anchor6,{get data(){return data_1()},get form(){return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[1]=$$value,()=>components2()?.[1])}),append($$anchor5,fragment_5)};if_block(node_2, $$render=>{$$props.constructors[2]?$$render(consequent):$$render(alternate,-1)})}append($$anchor4,fragment_2)},$$slots:{default:!0}}),$$value=>components2()[0]=$$value,()=>components2()?.[0])}),append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{const Pyramid_0=user_derived(()=>$$props.constructors[0]);var fragment_6=comment$2(),node_6=first_child(fragment_6);component(node_6,()=>get$3(Pyramid_0),($$anchor3,Pyramid_0_2)=>{bind_this(Pyramid_0_2($$anchor3,{get data(){return data_0()},get form(){ return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[0]=$$value,()=>components2()?.[0])}),append($$anchor2,fragment_6)};if_block(node2,$$render=>{$$props.constructors[1]?$$render(consequent_1):$$render(alternate_1,-1)})}var node_7=sibling(node2,2);{var consequent_3=$$anchor2=>{var div=root_7$w(),node_8=child(div);{var consequent_2=$$anchor3=>{var text2=text$8();template_effect(()=>set_text(text2,get$3(title2))),append($$anchor3,text2)};if_block(node_8,$$render=>{ -get$3(navigated)&&$$render(consequent_2)})}reset(div),append($$anchor2,div)};if_block(node_7,$$render=>{get$3(mounted)&&$$render(consequent_3)})}append($$anchor,fragment),pop()}const root$1V=asClassComponent(Root$6),nodes=[()=>__vitePreload(()=>Promise.resolve().then(()=>_0),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_1),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_2),void 0,import.meta.url),()=>__vitePreload( -()=>Promise.resolve().then(()=>_3),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_4),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_5),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_6),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_7),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_8),void 0,import.meta.url)], -server_loads=[],dictionary={"/(chat)":[4,[2]],"/(chat)/chat/[id]":[5,[2]],"/settings/chat/[section]":[6,[3]],"/settings/import-export":[7,[3]],"/settings/mcp":[8,[3]]},hooks={handleError:(({error:error2})=>{console.error(error2)}),reroute:(()=>{}),transport:{}},decoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.decode])),encoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.encode])),hash=!0,decode$2=(type2,value)=>decoders[type2](value),app=Object. -freeze(Object.defineProperty({__proto__:null,decode:decode$2,decoders,dictionary,encoders,hash,hooks,matchers,nodes,root:root$1V,server_loads},Symbol.toStringTag,{value:"Module"}));function start(element2,options){start$1(app,element2,options)}const page$2={get params(){return page$3.params},get route(){return page$3.route},get status(){return page$3.status},get url(){return page$3.url}};stores.updated.check;const page$1=page$2,linear=x=>x;function cubic_out(t){const f=t-1;return f*f*f+1}function split_css_unit(value){ -const split=typeof value=="string"&&value.match(/^\s*(-?[\d.]+)([^\s]*)\s*$/);return split?[parseFloat(split[1]),split[2]||"px"]:[value,"px"]}function fade(node2,{delay=0,duration:duration2=400,easing=linear}={}){const o=+getComputedStyle(node2).opacity;return{delay,duration:duration2,easing,css:t=>`opacity: ${t*o}`}}function fly(node2,{delay=0,duration:duration2=400,easing=cubic_out,x=0,y=0,opacity=0}={}){const style2=getComputedStyle(node2),target_opacity=+style2.opacity,transform2=style2.transform=== -"none"?"":style2.transform,od=target_opacity*(1-opacity),[x_value,x_unit]=split_css_unit(x),[y_value,y_unit]=split_css_unit(y);return{delay,duration:duration2,easing,css:(t,u)=>` +get$3(navigated)&&$$render(consequent_2)})}reset(div),append($$anchor2,div)};if_block(node_7,$$render=>{get$3(mounted)&&$$render(consequent_3)})}append($$anchor,fragment),pop()}const root$1$=asClassComponent(Root$6),nodes=[()=>__vitePreload(()=>Promise.resolve().then(()=>_0),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_1),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_2),void 0,import.meta.url),()=>__vitePreload( +()=>Promise.resolve().then(()=>_3),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_4),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_5),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_6),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_7),void 0,import.meta.url)],server_loads=[],dictionary={"/(chat)":[4,[2]],"/(chat)/chat/[id]":[5,[2]],"/mcp-se\ +rvers":[6],"/settings/[[section]]":[7,[3]]},hooks={handleError:(({error:error2})=>{console.error(error2)}),reroute:(()=>{}),transport:{}},decoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.decode])),encoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.encode])),hash=!0,decode$2=(type2,value)=>decoders[type2](value),app=Object.freeze(Object.defineProperty({__proto__:null,decode:decode$2,decoders,dictionary,encoders,hash,hooks,matchers,nodes,root:root$1$, +server_loads},Symbol.toStringTag,{value:"Module"}));function start(element2,options){start$1(app,element2,options)}const page$2={get params(){return page$3.params},get route(){return page$3.route},get status(){return page$3.status},get url(){return page$3.url}};stores.updated.check;const page$1=page$2,linear=x=>x;function cubic_out(t){const f=t-1;return f*f*f+1}function split_css_unit(value){const split=typeof value=="string"&&value.match(/^\s*(-?[\d.]+)([^\s]*)\s*$/);return split?[parseFloat(split[1]), +split[2]||"px"]:[value,"px"]}function fade(node2,{delay=0,duration:duration2=400,easing=linear}={}){const o=+getComputedStyle(node2).opacity;return{delay,duration:duration2,easing,css:t=>`opacity: ${t*o}`}}function fly(node2,{delay=0,duration:duration2=400,easing=cubic_out,x=0,y=0,opacity=0}={}){const style2=getComputedStyle(node2),target_opacity=+style2.opacity,transform2=style2.transform==="none"?"":style2.transform,od=target_opacity*(1-opacity),[x_value,x_unit]=split_css_unit(x),[y_value,y_unit]=split_css_unit( +y);return{delay,duration:duration2,easing,css:(t,u)=>` transform: ${transform2} translate(${(1-t)*x_value}${x_unit}, ${(1-t)*y_value}${y_unit}); opacity: ${target_opacity-od*u}`}}function scale(node2,{delay=0,duration:duration2=400,easing=cubic_out,start:start2=0,opacity=0}={}){const style2=getComputedStyle(node2),target_opacity=+style2.opacity,transform2=style2.transform==="none"?"":style2.transform,sd=1-start2,od=target_opacity*(1-opacity);return{delay,duration:duration2,easing,css:(_t,u)=>` transform: ${transform2} scale(${1-sd*u}); @@ -426,16 +427,16 @@ return slotsFns}return cn2(base2,getVariantClassNames(),getCompoundVariantsValue component2};return{tv:tv2,createTV:configProp=>(options,config2)=>tv2(options,config2?mergeObjects(configProp,config2):configProp)}},createTwMerge=cachedTwMergeConfig=>isEmptyObject(cachedTwMergeConfig)?twMerge:extendTailwindMerge({...cachedTwMergeConfig,extend:{theme:cachedTwMergeConfig.theme,classGroups:cachedTwMergeConfig.classGroups,conflictingClassGroupModifiers:cachedTwMergeConfig.conflictingClassGroupModifiers,conflictingClassGroups:cachedTwMergeConfig.conflictingClassGroups,...cachedTwMergeConfig. extend}}),executeMerge=(classnames,config2)=>{const base2=cx(classnames);return!base2||!(config2?.twMerge??!0)?base2:((!state.cachedTwMerge||state.didTwMergeConfigChange)&&(state.didTwMergeConfigChange=!1,state.cachedTwMerge=createTwMerge(state.cachedTwMergeConfig)),state.cachedTwMerge(base2)||void 0)},cnMerge=(...classnames)=>config2=>executeMerge(classnames,config2),{tv}=getTailwindVariants(cnMerge);const buttonVariants=tv({base:"focus-visible:border-ring focus-visible:ring-ring/50 aria-invali\ d:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex shrink-0 items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium outline-none transition-all focus-visible:ring-[3px] disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 [&_svg:not([class*='size-'])]:size-4 [&_svg]:pointer-events-none [&_svg]:shrink-0",variants:{variant:{default:"bg-primary text-primary-foregrou\ -nd shadow-xs hover:bg-primary/90",destructive:"bg-destructive shadow-xs hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60 text-white!",outline:"shadow-xs hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm dark:border-input border",secondary:"dark:bg-secondary dark:text-secondary-foreground bg-background shadow-sm text-foreground hover:bg-muted-foreground/20",ghost:"hover:text-accent-foreground hover:bg-\ -muted-foreground/10 backdrop-blur-sm",link:"text-primary underline-offset-4 hover:underline"},size:{default:"h-9 px-4 py-2 has-[>svg]:px-3",sm:"h-8 gap-1.5 rounded-md px-3 has-[>svg]:px-2.5",lg:"h-10 rounded-md px-6 has-[>svg]:px-4","icon-lg":"size-10",icon:"size-9","icon-sm":"size-5 rounded-sm"}},defaultVariants:{variant:"default",size:"default"}});var root_1$17=from_html(""),root_2$1F=from_html("");function Button($$anchor,$$props){push$1($$props,!0);let variant=prop( -$$props,"variant",3,"default"),size2=prop($$props,"size",3,"default"),ref2=prop($$props,"ref",15,null),href=prop($$props,"href",3,void 0),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","class","variant","size","ref","href","type","disabled","children"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var a=root_1$17();attribute_effect(a,$0=>({"data-slot":"button",class:$0,href:$$props.disabled?void 0:href(),"ar\ -ia-disabled":$$props.disabled,role:$$props.disabled?"link":void 0,tabindex:$$props.disabled?-1:void 0,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,void 0,"svelte-1q39rn8");var node_1=child(a);snippet(node_1,()=>$$props.children??noop$3),reset(a),bind_this(a,$$value=>ref2($$value),()=>ref2()),append($$anchor2,a)},alternate=$$anchor2=>{var button=root_2$1F();attribute_effect(button,$0=>({"data-slot":"button",class:$0,type:type2(),disabled:$$props. -disabled,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,void 0,"svelte-1q39rn8");var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),bind_this(button,$$value=>ref2($$value),()=>ref2()),append($$anchor2,button)};if_block(node2,$$render=>{href()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function isFunction$2(value){return typeof value=="function"}function isObject$2(value){return value!== -null&&typeof value=="object"}const CLASS_VALUE_PRIMITIVE_TYPES=["string","number","bigint","boolean"];function isClassValue(value){return value==null||CLASS_VALUE_PRIMITIVE_TYPES.includes(typeof value)?!0:Array.isArray(value)?value.every(item=>isClassValue(item)):typeof value=="object"?Object.getPrototypeOf(value)===Object.prototype:!1}const BoxSymbol$1=Symbol("box"),isWritableSymbol$1=Symbol("is-writable");function boxWith$1(getter,setter){const derived2=user_derived(getter);return setter?{[BoxSymbol$1]:!0, -[isWritableSymbol$1]:!0,get current(){return get$3(derived2)},set current(v){setter(v)}}:{[BoxSymbol$1]:!0,get current(){return getter()}}}function isBox$1(value){return isObject$2(value)&&BoxSymbol$1 in value}function isWritableBox$1(value){return isBox$1(value)&&isWritableSymbol$1 in value}function boxFrom$1(value){return isBox$1(value)?value:isFunction$2(value)?boxWith$1(value):simpleBox(value)}function boxFlatten$1(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>isBox$1(b)?(isWritableBox$1( -b)?Object.defineProperty(acc,key2,{get(){return b.current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox$1(b){return isWritableBox$1(b)?{[BoxSymbol$1]:!0,get current(){return b.current}}:b}function simpleBox(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}}function box$1(initialValue){ -let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}}box$1.from=boxFrom$1;box$1.with=boxWith$1;box$1.flatten=boxFlatten$1;box$1.readonly=toReadonlyBox$1;box$1.isBox=isBox$1;box$1.isWritableBox=isWritableBox$1;function composeHandlers(...handlers2){return function(e){for(const handler of handlers2)if(handler){if(e.defaultPrevented)return;typeof handler=="function"?handler.call(this,e): -handler.current?.call(this,e)}}}var commonjsGlobal=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function getDefaultExportFromCjs(x){return x&&x.__esModule&&Object.prototype.hasOwnProperty.call(x,"default")?x.default:x}var cjs={},inlineStyleParser,hasRequiredInlineStyleParser;function requireInlineStyleParser(){if(hasRequiredInlineStyleParser)return inlineStyleParser;hasRequiredInlineStyleParser=1;var COMMENT_REGEX=/\/\*[^*]*\*+([^/*][^*]*\*+)*\//g, +nd shadow-sm hover:bg-primary/90",destructive:"bg-destructive shadow-sm hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60 text-white!",outline:"shadow-sm hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm dark:border-input border",secondary:"bg-background dark:bg-muted-foreground/15 dark:text-secondary-foreground shadow-sm text-foreground hover:bg-muted-foreground/20 dark:hover:bg-muted-foreground/25",ghost:"\ +hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm",link:"text-primary underline-offset-4 hover:underline"},size:{default:"h-9 px-4 py-2 has-[>svg]:px-3",sm:"h-8 gap-1.5 rounded-md px-3 has-[>svg]:px-2.5",lg:"h-10 rounded-md px-6 has-[>svg]:px-4","icon-lg":"size-10",icon:"size-9","icon-sm":"size-5 rounded-sm"}},defaultVariants:{variant:"default",size:"default"}});var root_1$1e=from_html(""),root_2$1E=from_html("");function Button($$anchor,$$props){ +push$1($$props,!0);let variant=prop($$props,"variant",3,"default"),size2=prop($$props,"size",3,"default"),ref2=prop($$props,"ref",15,null),href=prop($$props,"href",3,void 0),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","class","variant","size","ref","href","type","disabled","children"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var a=root_1$1e();attribute_effect(a,$0=>({"data-slot":"button",class:$0,href:$$props. +disabled?void 0:href(),"aria-disabled":$$props.disabled,role:$$props.disabled?"link":void 0,tabindex:$$props.disabled?-1:void 0,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,void 0,"svelte-1q39rn8");var node_1=child(a);snippet(node_1,()=>$$props.children??noop$3),reset(a),bind_this(a,$$value=>ref2($$value),()=>ref2()),append($$anchor2,a)},alternate=$$anchor2=>{var button=root_2$1E();attribute_effect(button,$0=>({"data-slot":"button",class:$0,type:type2(), +disabled:$$props.disabled,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,void 0,"svelte-1q39rn8");var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),bind_this(button,$$value=>ref2($$value),()=>ref2()),append($$anchor2,button)};if_block(node2,$$render=>{href()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function isFunction$2(value){return typeof value=="function"}function isObject$2(value){ +return value!==null&&typeof value=="object"}const CLASS_VALUE_PRIMITIVE_TYPES=["string","number","bigint","boolean"];function isClassValue(value){return value==null||CLASS_VALUE_PRIMITIVE_TYPES.includes(typeof value)?!0:Array.isArray(value)?value.every(item=>isClassValue(item)):typeof value=="object"?Object.getPrototypeOf(value)===Object.prototype:!1}const BoxSymbol$1=Symbol("box"),isWritableSymbol$1=Symbol("is-writable");function boxWith$1(getter,setter){const derived2=user_derived(getter);return setter? +{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(derived2)},set current(v){setter(v)}}:{[BoxSymbol$1]:!0,get current(){return getter()}}}function isBox$1(value){return isObject$2(value)&&BoxSymbol$1 in value}function isWritableBox$1(value){return isBox$1(value)&&isWritableSymbol$1 in value}function boxFrom$1(value){return isBox$1(value)?value:isFunction$2(value)?boxWith$1(value):simpleBox(value)}function boxFlatten$1(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>isBox$1( +b)?(isWritableBox$1(b)?Object.defineProperty(acc,key2,{get(){return b.current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox$1(b){return isWritableBox$1(b)?{[BoxSymbol$1]:!0,get current(){return b.current}}:b}function simpleBox(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}} +function box$1(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}}box$1.from=boxFrom$1;box$1.with=boxWith$1;box$1.flatten=boxFlatten$1;box$1.readonly=toReadonlyBox$1;box$1.isBox=isBox$1;box$1.isWritableBox=isWritableBox$1;function composeHandlers(...handlers2){return function(e){for(const handler of handlers2)if(handler){if(e.defaultPrevented)return;typeof handler=="fu\ +nction"?handler.call(this,e):handler.current?.call(this,e)}}}var commonjsGlobal=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function getDefaultExportFromCjs(x){return x&&x.__esModule&&Object.prototype.hasOwnProperty.call(x,"default")?x.default:x}var cjs={},inlineStyleParser,hasRequiredInlineStyleParser;function requireInlineStyleParser(){if(hasRequiredInlineStyleParser)return inlineStyleParser;hasRequiredInlineStyleParser=1;var COMMENT_REGEX=/\/\*[^*]*\*+([^/*][^*]*\*+)*\//g, NEWLINE_REGEX=/\n/g,WHITESPACE_REGEX=/^\s*/,PROPERTY_REGEX=/^(\*?[-#/*\\\w]+(\[[0-9a-z_-]+\])?)\s*/,COLON_REGEX=/^:\s*/,VALUE_REGEX=/^((?:'(?:\\'|.)*?'|"(?:\\"|.)*?"|\([^)]*?\)|[^};])+)/,SEMICOLON_REGEX=/^[;\s]*/,TRIM_REGEX=/^\s+|\s+$/g,NEWLINE2=` `,FORWARD_SLASH="/",ASTERISK="*",EMPTY_STRING="",TYPE_COMMENT="comment",TYPE_DECLARATION="declaration";inlineStyleParser=function(style2,options){if(typeof style2!="string")throw new TypeError("First argument must be a string");if(!style2)return[];options=options||{};var lineno=1,column=1;function updatePosition(str){var lines=str.match(NEWLINE_REGEX);lines&&(lineno+=lines.length);var i=str.lastIndexOf(NEWLINE2);column=~i?str.length-i:column+str.length}function position2(){var start2={line:lineno, column};return function(node2){return node2.position=new Position(start2),whitespace2(),node2}}function Position(start2){this.start=start2,this.end={line:lineno,column},this.source=options.source}Position.prototype.content=style2;function error2(msg){var err=new Error(options.source+":"+lineno+":"+column+": "+msg);if(err.reason=msg,err.filename=options.source,err.line=lineno,err.column=column,err.source=style2,!options.silent)throw err}function match(re2){var m=re2.exec(style2);if(m){var str=m[0]; @@ -517,13 +518,13 @@ this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.r pen":boolToEmptyStrOrUndef(this.root.nestedOpenCount>0),"data-nested":boolToEmptyStrOrUndef(this.root.parent!==null),...getDataTransitionAttrs(this.root.overlayPresence.transitionStatus),...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}get shouldRender(){return this.root.overlayPresence.shouldRender}}class AlertDialogCancelState{static create(opts){return new AlertDialogCancelState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){ this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.cancelNode=v),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){this.opts.disabled.current||e.button>0||this.root.handleClose()}onkeydown(e){this.opts.disabled.current||(e.key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.handleClose())}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("cancel")]:"",onclick:this.onclick,onkeydown:this.onkeydown, tabindex:0,...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function Alert_dialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);DialogRootState.create({variant:boxWith$1(()=>"alert-dialog"),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1( -()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_2$1E=from_html("
");function Dialog_title$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),level=prop($$props,"level",3,2),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","level"]); -const titleState=DialogTitleState.create({id:boxWith$1(()=>id2()),level:boxWith$1(()=>level()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,titleState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1E();attribute_effect(div, -()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1D=from_html("");function Alert_dialog_action$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,[ -"$$slots","$$events","$$legacy","children","child","id","ref"]);const actionState=DialogActionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,actionState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1D(); -attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1C=from_html("");function Alert_dialog_cancel$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null), +()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_2$1D=from_html("
");function Dialog_title$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),level=prop($$props,"level",3,2),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","level"]); +const titleState=DialogTitleState.create({id:boxWith$1(()=>id2()),level:boxWith$1(()=>level()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,titleState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1D();attribute_effect(div, +()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1C=from_html("");function Alert_dialog_action$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,[ +"$$slots","$$events","$$legacy","children","child","id","ref"]);const actionState=DialogActionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,actionState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1C(); +attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1B=from_html("");function Alert_dialog_cancel$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null), disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child","disabled"]);const cancelState=AlertDialogCancelState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,cancelState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1); -snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1C();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Portal_consumer($$anchor,$$props){var fragment=comment$2(),node2=first_child( +snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1B();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Portal_consumer($$anchor,$$props){var fragment=comment$2(),node2=first_child( fragment);key$1(node2,()=>$$props.children,$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}),append($$anchor,fragment)}const BitsConfigContext=new Context$1("BitsConfig");function getBitsConfig(){const fallback2=new BitsConfigState(null,{});return BitsConfigContext.getOr(fallback2).opts}class BitsConfigState{opts;constructor(parent,opts){const resolveConfigOption=createConfigResolver(parent,opts);this. opts={defaultPortalTo:resolveConfigOption(config2=>config2.defaultPortalTo),defaultLocale:resolveConfigOption(config2=>config2.defaultLocale)}}}function createConfigResolver(parent,currentOpts){return getter=>boxWith$1(()=>{const value=getter(currentOpts)?.current;if(value!==void 0)return value;if(parent!==null)return getter(parent.opts)?.current})}function createPropResolver(configOption,fallback2){return getProp=>{const config2=getBitsConfig();return boxWith$1(()=>{const propValue=getProp();if(propValue!== void 0)return propValue;const option2=configOption(config2).current;return option2!==void 0?option2:fallback2})}}const resolvePortalToProp=createPropResolver(config2=>config2.defaultPortalTo,"body");function Portal$2($$anchor,$$props){push$1($$props,!0);const to=resolvePortalToProp(()=>$$props.to),context=getAllContexts();let target2=user_derived(getTarget);function getTarget(){if(!isBrowser$2||$$props.disabled)return null;let localTarget=null;return typeof to.current=="string"?localTarget=document. @@ -598,413 +599,415 @@ current?.(e),!(e.defaultPrevented||this.#isSub)){if(this.parentMenu.root.ignoreC (this.parentMenu.root.ignoreCloseAutoFocus=!0,rootMenu.onClose(),afterTick(()=>{nodeToFocus.focus(),afterTick(()=>{this.parentMenu.root.ignoreCloseAutoFocus=!1})})):this.domContext.getDocument().body.focus()}onkeydown(e){if(e.defaultPrevented)return;if(e.key===TAB){this.handleTabKeyDown(e);return}const target2=e.target,currentTarget=e.currentTarget;if(!isHTMLElement$1(target2)||!isHTMLElement$1(currentTarget))return;const isKeydownInside=target2.closest(`[${this.parentMenu.root.getBitsAttr("cont\ ent")}]`)?.id===this.parentMenu.contentId.current,isModifierKey=e.ctrlKey||e.altKey||e.metaKey,isCharacterKey=e.key.length===1;if(this.rovingFocusGroup.handleKeydown(target2,e)||e.code==="Space")return;const candidateNodes=this.#getCandidateNodes();isKeydownInside&&!isModifierKey&&isCharacterKey&&this.#handleTypeaheadSearch(e.key,candidateNodes),e.target?.id===this.parentMenu.contentId.current&&FIRST_LAST_KEYS$1.includes(e.key)&&(e.preventDefault(),LAST_KEYS$1.includes(e.key)&&candidateNodes.reverse(), focusFirst(candidateNodes,{select:!1},()=>this.domContext.getActiveElement()))}onblur(e){isElement$1(e.currentTarget)&&isElement$1(e.target)&&(e.currentTarget.contains?.(e.target)||(this.domContext.getWindow().clearTimeout(this.#timer),this.search=""))}onfocus(_){this.parentMenu.root.isUsingKeyboard.current&&afterTick(()=>this.rovingFocusGroup.focusFirstCandidate())}onItemEnter(){return this.#isPointerMovingToSubmenu()}onItemLeave(e){if(e.currentTarget.hasAttribute(this.parentMenu.root.getBitsAttr( -"sub-trigger"))||this.#isPointerMovingToSubmenu()||this.parentMenu.root.isUsingKeyboard.current)return;this.parentMenu.contentNode?.focus(),this.rovingFocusGroup.setCurrentTabStopId("")}onTriggerLeave(){return!!this.#isPointerMovingToSubmenu()}handleInteractOutside(e){if(!isElementOrSVGElement(e.target))return;const triggerId=this.parentMenu.triggerNode?.id;if(e.target.id===triggerId){e.preventDefault();return}if(e.target.closest(`#${triggerId}`)){e.preventDefault();return}this.parentMenu.root.ignoreCloseAutoFocus= -!0,afterTick(()=>{this.parentMenu.root.ignoreCloseAutoFocus=!1})}get shouldRender(){return this.parentMenu.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.parentMenu.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"menu","aria-orientation":"vertical",[this.parentMenu.root.getBitsAttr("content")]:"","data-state":getDataOpenClosed(this.parentMenu. -opts.open.current),...getDataTransitionAttrs(this.parentMenu.contentPresence.transitionStatus),onkeydown:this.onkeydown,onblur:this.onblur,onfocus:this.onfocus,dir:this.parentMenu.root.opts.dir.current,style:{pointerEvents:"auto",contain:"layout style"},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onCloseAutoFocus:e=>this.onCloseAutoFocus(e)}}class MenuItemSharedState{opts;content;attachment;#isFocused=state$1(!1);constructor(opts,content2){ -this.opts=opts,this.content=content2,this.attachment=attachRef(this.opts.ref),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this),this.onfocus=this.onfocus.bind(this),this.onblur=this.onblur.bind(this)}onpointermove(e){if(!e.defaultPrevented&&isMouseEvent(e))if(this.opts.disabled.current)this.content.onItemLeave(e);else{if(this.content.onItemEnter())return;const item=e.currentTarget;if(!isHTMLElement$1(item))return;item.focus()}}onpointerleave(e){e. -defaultPrevented||isMouseEvent(e)&&this.content.onItemLeave(e)}onfocus(e){afterTick(()=>{e.defaultPrevented||this.opts.disabled.current||set$1(this.#isFocused,!0)})}onblur(e){afterTick(()=>{e.defaultPrevented||set$1(this.#isFocused,!1)})}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,role:"menuitem","aria-disabled":boolToStr(this.opts.disabled.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":get$3(this.#isFocused)?"":void 0,[this.content. -parentMenu.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onfocus:this.onfocus,onblur:this.onblur,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuItemState{static create(opts){const item=new MenuItemSharedState(opts,MenuContentContext.get());return new MenuItemState(opts,item)}opts;item;root;#isPointerDown=!1;constructor(opts,item){this.opts=opts,this.item=item,this.root=item.content. -parentMenu.root,this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this)}#handleSelect(){if(this.item.opts.disabled.current)return;const selectEvent=new CustomEvent("menuitemselect",{bubbles:!0,cancelable:!0});if(this.opts.onSelect.current(selectEvent),selectEvent.defaultPrevented){this.item.content.parentMenu.root.isUsingKeyboard.current=!1;return}this.opts.closeOnSelect.current&&this. -item.content.parentMenu.root.opts.onClose()}onkeydown(e){const isTypingAhead=this.item.content.search!=="";if(!(this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE)&&SELECTION_KEYS.includes(e.key)){if(!isHTMLElement$1(e.currentTarget))return;e.currentTarget.click(),e.preventDefault()}}onclick(_){this.item.opts.disabled.current||this.#handleSelect()}onpointerup(e){if(!e.defaultPrevented&&!this.#isPointerDown){if(!isHTMLElement$1(e.currentTarget))return;e.currentTarget?.click()}}onpointerdown(_){ -this.#isPointerDown=!0}#props=user_derived(()=>mergeProps(this.item.props,{onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubTriggerState{static create(opts){const content2=MenuContentContext.get(),item=new MenuItemSharedState(opts,content2),submenu=MenuMenuContext.get();return new MenuSubTriggerState(opts,item,content2,submenu)}opts;item;content;submenu;attachment;#openTimer=null;constructor(opts,item,content2,submenu){ -this.opts=opts,this.item=item,this.content=content2,this.submenu=submenu,this.attachment=attachRef(this.opts.ref,v=>this.submenu.triggerNode=v),this.onpointerleave=this.onpointerleave.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),onDestroyEffect(()=>{this.#clearOpenTimer()})}#clearOpenTimer(){this.#openTimer!==null&&(this.content.domContext.getWindow().clearTimeout(this.#openTimer),this.#openTimer=null)}onpointermove(e){ -if(isMouseEvent(e)){if(this.submenu.root.isPointerInTransit){this.#openTimer!==null&&this.#clearOpenTimer();return}if(!this.item.opts.disabled.current&&!this.submenu.opts.open.current&&!this.#openTimer){const openDelay=this.opts.openDelay.current;if(openDelay<=0){this.submenu.onOpen();return}this.#openTimer=this.content.domContext.setTimeout(()=>{if(this.submenu.root.isPointerInTransit){this.#clearOpenTimer();return}this.submenu.onOpen(),this.#clearOpenTimer()},openDelay)}}}onpointerleave(e){isMouseEvent( -e)&&this.#clearOpenTimer()}onkeydown(e){const isTypingAhead=this.content.search!=="";this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE||SUB_OPEN_KEYS[this.submenu.root.opts.dir.current].includes(e.key)&&(e.currentTarget.click(),e.preventDefault())}onclick(e){if(this.item.opts.disabled.current||!isHTMLElement$1(e.currentTarget))return;e.currentTarget.focus();const selectEvent=new CustomEvent("menusubtriggerselect",{bubbles:!0,cancelable:!0});this.opts.onSelect.current(selectEvent),this. -submenu.opts.open.current||(this.submenu.onOpen(),afterTick(()=>{const contentNode=this.submenu.contentNode;contentNode&&MenuOpenEvent.dispatch(contentNode)}))}#props=user_derived(()=>mergeProps({"aria-haspopup":"menu","aria-expanded":boolToStr(this.submenu.opts.open.current),"data-state":getDataOpenClosed(this.submenu.opts.open.current),"aria-controls":this.submenu.opts.open.current?this.submenu.contentId.current:void 0,[this.submenu.root.getBitsAttr("sub-trigger")]:"",onclick:this.onclick,onpointermove:this. -onpointermove,onpointerleave:this.onpointerleave,onkeydown:this.onkeydown,...this.attachment},this.item.props));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSeparatorState{static create(opts){return new MenuSeparatorState(opts,MenuRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,role:"group",[this.root.getBitsAttr("\ -separator")]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class DropdownMenuTriggerState{static create(opts){return new DropdownMenuTriggerState(opts,MenuMenuContext.get())}opts;parentMenu;attachment;constructor(opts,parentMenu){this.opts=opts,this.parentMenu=parentMenu,this.attachment=attachRef(this.opts.ref,v=>this.parentMenu.triggerNode=v)}onclick=e=>{this.opts.disabled.current||e.detail!==0||(this.parentMenu.toggleOpen(),e.preventDefault())};onpointerdown=e=>{ -if(!this.opts.disabled.current){if(e.pointerType==="touch")return e.preventDefault();e.button===0&&e.ctrlKey===!1&&(this.parentMenu.toggleOpen(),this.parentMenu.opts.open.current||e.preventDefault())}};onpointerup=e=>{this.opts.disabled.current||e.pointerType==="touch"&&(e.preventDefault(),this.parentMenu.toggleOpen())};onkeydown=e=>{if(!this.opts.disabled.current){if(e.key===SPACE||e.key===ENTER){this.parentMenu.toggleOpen(),e.preventDefault();return}e.key===ARROW_DOWN&&(this.parentMenu.onOpen(), -e.preventDefault())}};#ariaControls=user_derived(()=>{if(this.parentMenu.opts.open.current&&this.parentMenu.contentId.current)return this.parentMenu.contentId.current});#props=user_derived(()=>({id:this.opts.id.current,disabled:this.opts.disabled.current,"aria-haspopup":"menu","aria-expanded":boolToStr(this.parentMenu.opts.open.current),"aria-controls":get$3(this.#ariaControls),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-state":getDataOpenClosed(this.parentMenu.opts.open. -current),[this.parentMenu.root.getBitsAttr("trigger")]:"",onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubmenuState{static create(opts){const menu=MenuMenuContext.get();return MenuMenuContext.set(new MenuMenuState(opts,menu.root,menu))}}globalThis.bitsDismissableLayers??=new Map;class DismissibleLayerState{static create(opts){ -return new DismissibleLayerState(opts)}opts;#interactOutsideProp;#behaviorType;#interceptedEvents={pointerdown:!1};#isResponsibleLayer=!1;#isFocusInsideDOMTree=!1;#documentObj=void 0;#onFocusOutside;#unsubClickListener=noop$1;constructor(opts){this.opts=opts,this.#behaviorType=opts.interactOutsideBehavior,this.#interactOutsideProp=opts.onInteractOutside,this.#onFocusOutside=opts.onFocusOutside,user_effect(()=>{this.#documentObj=getOwnerDocument(this.opts.ref.current)});let unsubEvents=noop$1;const cleanup=()=>{ -this.#resetState(),globalThis.bitsDismissableLayers.delete(this),this.#handleInteractOutside.destroy(),unsubEvents()};watch$1([()=>this.opts.enabled.current,()=>this.opts.ref.current],()=>{if(!(!this.opts.enabled.current||!this.opts.ref.current))return afterSleep(1,()=>{this.opts.ref.current&&(globalThis.bitsDismissableLayers.set(this,this.#behaviorType),unsubEvents(),unsubEvents=this.#addEventListeners())}),cleanup}),onDestroyEffect(()=>{this.#resetState.destroy(),globalThis.bitsDismissableLayers. -delete(this),this.#handleInteractOutside.destroy(),this.#unsubClickListener(),unsubEvents()})}#handleFocus=event2=>{event2.defaultPrevented||this.opts.ref.current&&afterTick(()=>{!this.opts.ref.current||this.#isTargetWithinLayer(event2.target)||event2.target&&!this.#isFocusInsideDOMTree&&this.#onFocusOutside.current?.(event2)})};#addEventListeners(){return executeCallbacks(on(this.#documentObj,"pointerdown",executeCallbacks(this.#markInterceptedEvent,this.#markResponsibleLayer),{capture:!0}),on( -this.#documentObj,"pointerdown",executeCallbacks(this.#markNonInterceptedEvent,this.#handleInteractOutside)),on(this.#documentObj,"focusin",this.#handleFocus))}#handleDismiss=e=>{let event2=e;event2.defaultPrevented&&(event2=createWrappedEvent(e)),this.#interactOutsideProp.current(e)};#handleInteractOutside=debounce$1(e=>{if(!this.opts.ref.current){this.#unsubClickListener();return}const isEventValid=this.opts.isValidEvent.current(e,this.opts.ref.current)||isValidEvent(e,this.opts.ref.current);if(!this.#isResponsibleLayer|| -this.#isAnyEventIntercepted()||!isEventValid){this.#unsubClickListener();return}let event2=e;if(event2.defaultPrevented&&(event2=createWrappedEvent(event2)),this.#behaviorType.current!=="close"&&this.#behaviorType.current!=="defer-otherwise-close"){this.#unsubClickListener();return}e.pointerType==="touch"?(this.#unsubClickListener(),this.#unsubClickListener=on(this.#documentObj,"click",this.#handleDismiss,{once:!0})):this.#interactOutsideProp.current(event2)},10);#markInterceptedEvent=e=>{this.#interceptedEvents[e. -type]=!0};#markNonInterceptedEvent=e=>{this.#interceptedEvents[e.type]=!1};#markResponsibleLayer=()=>{this.opts.ref.current&&(this.#isResponsibleLayer=isResponsibleLayer(this.opts.ref.current))};#isTargetWithinLayer=target2=>this.opts.ref.current?isOrContainsTarget(this.opts.ref.current,target2):!1;#resetState=debounce$1(()=>{for(const eventType in this.#interceptedEvents)this.#interceptedEvents[eventType]=!1;this.#isResponsibleLayer=!1},20);#isAnyEventIntercepted(){return Object.values(this.#interceptedEvents). -some(Boolean)}#onfocuscapture=()=>{this.#isFocusInsideDOMTree=!0};#onblurcapture=()=>{this.#isFocusInsideDOMTree=!1};props={onfocuscapture:this.#onfocuscapture,onblurcapture:this.#onblurcapture}}function getTopMostDismissableLayer(layersArr=[...globalThis.bitsDismissableLayers]){return layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"||behaviorType==="ignore")}function isResponsibleLayer(node2){const layersArr=[...globalThis.bitsDismissableLayers],topMostLayer=getTopMostDismissableLayer( -layersArr);if(topMostLayer)return topMostLayer[0].opts.ref.current===node2;const[firstLayerNode]=layersArr[0];return firstLayerNode.opts.ref.current===node2}function isValidEvent(e,node2){const target2=e.target;if(!isElementOrSVGElement(target2))return!1;const targetIsContextMenuTrigger=!!target2.closest(`[${CONTEXT_MENU_TRIGGER_ATTR}]`),nodeIsContextMenu=!!node2.closest(`[${CONTEXT_MENU_CONTENT_ATTR}]`);return"button"in e&&e.button>0&&!targetIsContextMenuTrigger?!1:"button"in e&&e.button===0&&targetIsContextMenuTrigger&& -nodeIsContextMenu?!0:targetIsContextMenuTrigger&&nodeIsContextMenu?!1:getOwnerDocument(target2).documentElement.contains(target2)&&!isOrContainsTarget(node2,target2)&&isClickTrulyOutside(e,node2)}function createWrappedEvent(e){const capturedCurrentTarget=e.currentTarget,capturedTarget=e.target;let newEvent;e instanceof PointerEvent?newEvent=new PointerEvent(e.type,e):newEvent=new PointerEvent("pointerdown",e);let isPrevented=!1;return new Proxy(newEvent,{get:(target2,prop2)=>prop2==="currentTarg\ -et"?capturedCurrentTarget:prop2==="target"?capturedTarget:prop2==="preventDefault"?()=>{isPrevented=!0,typeof target2.preventDefault=="function"&&target2.preventDefault()}:prop2==="defaultPrevented"?isPrevented:prop2 in target2?target2[prop2]:e[prop2]})}function Dismissible_layer($$anchor,$$props){push$1($$props,!0);let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside", -3,noop$1),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1);const dismissibleLayerState=DismissibleLayerState.create({id:boxWith$1(()=>$$props.id),interactOutsideBehavior:boxWith$1(()=>interactOutsideBehavior()),onInteractOutside:boxWith$1(()=>onInteractOutside()),enabled:boxWith$1(()=>$$props.enabled),onFocusOutside:boxWith$1(()=>onFocusOutside()),isValidEvent:boxWith$1(()=>isValidEvent2()),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children?? -noop$3,()=>({props:dismissibleLayerState.props})),append($$anchor,fragment),pop()}globalThis.bitsEscapeLayers??=new Map;class EscapeLayerState{static create(opts){return new EscapeLayerState(opts)}opts;domContext;constructor(opts){this.opts=opts,this.domContext=new DOMContext(this.opts.ref);let unsubEvents=noop$1;watch$1(()=>opts.enabled.current,enabled=>(enabled&&(globalThis.bitsEscapeLayers.set(this,opts.escapeKeydownBehavior),unsubEvents=this.#addEventListener()),()=>{unsubEvents(),globalThis. -bitsEscapeLayers.delete(this)}))}#addEventListener=()=>on(this.domContext.getDocument(),"keydown",this.#onkeydown,{passive:!1});#onkeydown=e=>{if(e.key!==ESCAPE||!isResponsibleEscapeLayer(this))return;const clonedEvent=new KeyboardEvent(e.type,e);e.preventDefault();const behaviorType=this.opts.escapeKeydownBehavior.current;behaviorType!=="close"&&behaviorType!=="defer-otherwise-close"||this.opts.onEscapeKeydown.current(clonedEvent)}}function isResponsibleEscapeLayer(instance){const layersArr=[...globalThis. -bitsEscapeLayers],topMostLayer=layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"||behaviorType==="ignore");if(topMostLayer)return topMostLayer[0]===instance;const[firstLayerNode]=layersArr[0];return firstLayerNode===instance}function Escape_layer($$anchor,$$props){push$1($$props,!0);let escapeKeydownBehavior=prop($$props,"escapeKeydownBehavior",3,"close"),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1);EscapeLayerState.create({escapeKeydownBehavior:boxWith$1(()=>escapeKeydownBehavior()), -onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),enabled:boxWith$1(()=>$$props.enabled),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}class FocusScopeManager{static instance;#scopeStack=simpleBox([]);#focusHistory=new WeakMap;#preFocusHistory=new WeakMap;static getInstance(){return this.instance||(this.instance=new FocusScopeManager),this.instance}register(scope2){const current2=this.getActive(); -current2&¤t2!==scope2&¤t2.pause();const activeElement=document.activeElement;activeElement&&activeElement!==document.body&&this.#preFocusHistory.set(scope2,activeElement),this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!==scope2),this.#scopeStack.current.unshift(scope2)}unregister(scope2){this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!==scope2);const next2=this.getActive();next2&&next2.resume()}getActive(){return this.#scopeStack.current[0]}setFocusMemory(scope2,element2){ -this.#focusHistory.set(scope2,element2)}getFocusMemory(scope2){return this.#focusHistory.get(scope2)}isActiveScope(scope2){return this.getActive()===scope2}setPreFocusMemory(scope2,element2){this.#preFocusHistory.set(scope2,element2)}getPreFocusMemory(scope2){return this.#preFocusHistory.get(scope2)}clearPreFocusMemory(scope2){this.#preFocusHistory.delete(scope2)}}class FocusScope{#paused=!1;#container=null;#manager=FocusScopeManager.getInstance();#cleanupFns=[];#opts;constructor(opts){this.#opts= -opts}get paused(){return this.#paused}pause(){this.#paused=!0}resume(){this.#paused=!1}#cleanup(){for(const fn of this.#cleanupFns)fn();this.#cleanupFns=[]}mount(container2){this.#container&&this.unmount(),this.#container=container2,this.#manager.register(this),this.#setupEventListeners(),this.#handleOpenAutoFocus()}unmount(){this.#container&&(this.#cleanup(),this.#handleCloseAutoFocus(),this.#manager.unregister(this),this.#manager.clearPreFocusMemory(this),this.#container=null)}#handleOpenAutoFocus(){ -if(!this.#container)return;const event2=new CustomEvent("focusScope.onOpenAutoFocus",{bubbles:!1,cancelable:!0});this.#opts.onOpenAutoFocus.current(event2),event2.defaultPrevented||requestAnimationFrame(()=>{if(!this.#container)return;const firstTabbable=this.#getFirstTabbable();firstTabbable?(firstTabbable.focus(),this.#manager.setFocusMemory(this,firstTabbable)):this.#container.focus()})}#handleCloseAutoFocus(){const event2=new CustomEvent("focusScope.onCloseAutoFocus",{bubbles:!1,cancelable:!0}); -if(this.#opts.onCloseAutoFocus.current?.(event2),!event2.defaultPrevented){const preFocusedElement=this.#manager.getPreFocusMemory(this);if(preFocusedElement&&document.contains(preFocusedElement))try{preFocusedElement.focus()}catch{document.body.focus()}}}#setupEventListeners(){if(!this.#container||!this.#opts.trap.current)return;const container2=this.#container,doc=container2.ownerDocument,handleFocus=e=>{if(this.#paused||!this.#manager.isActiveScope(this))return;const target2=e.target;if(!target2) -return;if(container2.contains(target2))this.#manager.setFocusMemory(this,target2);else{const lastFocused=this.#manager.getFocusMemory(this);if(lastFocused&&container2.contains(lastFocused)&&isFocusable(lastFocused))e.preventDefault(),lastFocused.focus();else{const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0];(firstTabbable||firstFocusable||container2).focus()}}},handleKeydown=e=>{if(!this.#opts.loop||this.#paused||e.key!=="Tab"||!this.#manager.isActiveScope(this)) -return;const tabbables=this.#getTabbables();if(tabbables.length===0)return;const first=tabbables[0],last=tabbables[tabbables.length-1];!e.shiftKey&&doc.activeElement===last?(e.preventDefault(),first.focus()):e.shiftKey&&doc.activeElement===first&&(e.preventDefault(),last.focus())};this.#cleanupFns.push(on(doc,"focusin",handleFocus,{capture:!0}),on(container2,"keydown",handleKeydown));const observer=new MutationObserver(()=>{const lastFocused=this.#manager.getFocusMemory(this);if(lastFocused&&!container2. -contains(lastFocused)){const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0],elementToFocus=firstTabbable||firstFocusable;elementToFocus?(elementToFocus.focus(),this.#manager.setFocusMemory(this,elementToFocus)):container2.focus()}});observer.observe(container2,{childList:!0,subtree:!0}),this.#cleanupFns.push(()=>observer.disconnect())}#getTabbables(){return this.#container?tabbable(this.#container,{includeContainer:!1,getShadowRoot:!0}):[]}#getFirstTabbable(){return this.#getTabbables()[0]|| -null}#getAllFocusables(){return this.#container?focusable(this.#container,{includeContainer:!1,getShadowRoot:!0}):[]}static use(opts){let scope2=null;return watch$1([()=>opts.ref.current,()=>opts.enabled.current],([ref2,enabled])=>{ref2&&enabled?(scope2||(scope2=new FocusScope(opts)),scope2.mount(ref2)):scope2&&(scope2.unmount(),scope2=null)}),onDestroyEffect(()=>{scope2?.unmount()}),{get props(){return{tabindex:-1}}}}}function Focus_scope($$anchor,$$props){push$1($$props,!0);let enabled=prop($$props, -"enabled",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),loop2=prop($$props,"loop",3,!1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1);const focusScopeState=FocusScope.use({enabled:boxWith$1(()=>enabled()),trap:boxWith$1(()=>trapFocus()),loop:loop2(),onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus()),onOpenAutoFocus:boxWith$1(()=>onOpenAutoFocus()),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet( -node2,()=>$$props.focusScope??noop$3,()=>({props:focusScopeState.props})),append($$anchor,fragment),pop()}globalThis.bitsTextSelectionLayers??=new Map;class TextSelectionLayerState{static create(opts){return new TextSelectionLayerState(opts)}opts;domContext;#unsubSelectionLock=noop$1;constructor(opts){this.opts=opts,this.domContext=new DOMContext(opts.ref);let unsubEvents=noop$1;watch$1(()=>this.opts.enabled.current,isEnabled=>(isEnabled&&(globalThis.bitsTextSelectionLayers.set(this,this.opts.enabled), -unsubEvents(),unsubEvents=this.#addEventListeners()),()=>{unsubEvents(),this.#resetSelectionLock(),globalThis.bitsTextSelectionLayers.delete(this)}))}#addEventListeners(){return executeCallbacks(on(this.domContext.getDocument(),"pointerdown",this.#pointerdown),on(this.domContext.getDocument(),"pointerup",composeHandlers(this.#resetSelectionLock,this.opts.onPointerUp.current)))}#pointerdown=e=>{const node2=this.opts.ref.current,target2=e.target;!isHTMLElement$1(node2)||!isHTMLElement$1(target2)|| -!this.opts.enabled.current||!isHighestLayer(this)||!contains$3(node2,target2)||(this.opts.onPointerDown.current(e),!e.defaultPrevented&&(this.#unsubSelectionLock=preventTextSelectionOverflow(node2,this.domContext.getDocument().body)))};#resetSelectionLock=()=>{this.#unsubSelectionLock(),this.#unsubSelectionLock=noop$1}}const getUserSelect=node2=>node2.style.userSelect||node2.style.webkitUserSelect;function preventTextSelectionOverflow(node2,body2){const originalBodyUserSelect=getUserSelect(body2), -originalNodeUserSelect=getUserSelect(node2);return setUserSelect(body2,"none"),setUserSelect(node2,"text"),()=>{setUserSelect(body2,originalBodyUserSelect),setUserSelect(node2,originalNodeUserSelect)}}function setUserSelect(node2,value){node2.style.userSelect=value,node2.style.webkitUserSelect=value}function isHighestLayer(instance){const layersArr=[...globalThis.bitsTextSelectionLayers];if(!layersArr.length)return!1;const highestLayer=layersArr.at(-1);return highestLayer?highestLayer[0]===instance: -!1}function Text_selection_layer($$anchor,$$props){push$1($$props,!0);let preventOverflowTextSelection=prop($$props,"preventOverflowTextSelection",3,!0),onPointerDown=prop($$props,"onPointerDown",3,noop$1),onPointerUp=prop($$props,"onPointerUp",3,noop$1);TextSelectionLayerState.create({id:boxWith$1(()=>$$props.id),onPointerDown:boxWith$1(()=>onPointerDown()),onPointerUp:boxWith$1(()=>onPointerUp()),enabled:boxWith$1(()=>$$props.enabled&&preventOverflowTextSelection()),ref:$$props.ref});var fragment=comment$2(), -node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}globalThis.bitsIdCounter??={current:0};function useId(prefix="bits"){return globalThis.bitsIdCounter.current++,`${prefix}-${globalThis.bitsIdCounter.current}`}class SharedState{#factory;#subscribers=0;#state=state$1();#scope;constructor(factory){this.#factory=factory}#dispose(){this.#subscribers-=1,this.#scope&&this.#subscribers<=0&&(this.#scope(),set$1(this.#state,void 0),this.#scope=void 0)}get(...args){ -return this.#subscribers+=1,get$3(this.#state)===void 0&&(this.#scope=effect_root(()=>{set$1(this.#state,this.#factory(...args),!0)})),user_effect(()=>()=>{this.#dispose()}),get$3(this.#state)}}const lockMap=new SvelteMap;let initialBodyStyle=state$1(null),stopTouchMoveListener=null,cleanupTimeoutId=null,isInCleanupTransition=!1;const anyLocked=boxWith$1(()=>{for(const value of lockMap.values())if(value)return!0;return!1});let cleanupScheduledAt=null;const bodyLockStackCount=new SharedState(()=>{ -function resetBodyStyle(){document.body.setAttribute("style",get$3(initialBodyStyle)??""),document.body.style.removeProperty("--scrollbar-width"),isIOS&&stopTouchMoveListener?.(),set$1(initialBodyStyle,null)}function cancelPendingCleanup(){cleanupTimeoutId!==null&&(window.clearTimeout(cleanupTimeoutId),cleanupTimeoutId=null)}function scheduleCleanupIfNoNewLocks(delay,callback){cancelPendingCleanup(),isInCleanupTransition=!0,cleanupScheduledAt=Date.now();const currentCleanupId=cleanupScheduledAt, -cleanupFn=()=>{cleanupTimeoutId=null,cleanupScheduledAt===currentCleanupId&&(isAnyLocked(lockMap)?isInCleanupTransition=!1:(isInCleanupTransition=!1,callback()))},actualDelay=delay===null?24:delay;cleanupTimeoutId=window.setTimeout(cleanupFn,actualDelay)}function ensureInitialStyleCaptured(){get$3(initialBodyStyle)===null&&lockMap.size===0&&!isInCleanupTransition&&set$1(initialBodyStyle,document.body.getAttribute("style"),!0)}return watch$1(()=>anyLocked.current,()=>{if(!anyLocked.current)return; -ensureInitialStyleCaptured(),isInCleanupTransition=!1;const htmlStyle=getComputedStyle(document.documentElement),bodyStyle=getComputedStyle(document.body),hasStableGutter=htmlStyle.scrollbarGutter?.includes("stable")||bodyStyle.scrollbarGutter?.includes("stable"),verticalScrollbarWidth=window.innerWidth-document.documentElement.clientWidth,config2={padding:Number.parseInt(bodyStyle.paddingRight??"0",10)+verticalScrollbarWidth,margin:Number.parseInt(bodyStyle.marginRight??"0",10)};verticalScrollbarWidth> -0&&!hasStableGutter&&(document.body.style.paddingRight=`${config2.padding}px`,document.body.style.marginRight=`${config2.margin}px`,document.body.style.setProperty("--scrollbar-width",`${verticalScrollbarWidth}px`)),document.body.style.overflow="hidden",isIOS&&(stopTouchMoveListener=on(document,"touchmove",e=>{e.target===document.documentElement&&(e.touches.length>1||e.preventDefault())},{passive:!1})),afterTick(()=>{document.body.style.pointerEvents="none",document.body.style.overflow="hidden"})}), -onDestroyEffect(()=>()=>{stopTouchMoveListener?.()}),{get lockMap(){return lockMap},resetBodyStyle,scheduleCleanupIfNoNewLocks,cancelPendingCleanup,ensureInitialStyleCaptured}});class BodyScrollLock{#id=useId();#initialState;#restoreScrollDelay=()=>null;#countState;locked;constructor(initialState,restoreScrollDelay=()=>null){this.#initialState=initialState,this.#restoreScrollDelay=restoreScrollDelay,this.#countState=bodyLockStackCount.get(),this.#countState&&(this.#countState.cancelPendingCleanup(), -this.#countState.ensureInitialStyleCaptured(),this.#countState.lockMap.set(this.#id,this.#initialState??!1),this.locked=boxWith$1(()=>this.#countState.lockMap.get(this.#id)??!1,v=>this.#countState.lockMap.set(this.#id,v)),onDestroyEffect(()=>{if(this.#countState.lockMap.delete(this.#id),isAnyLocked(this.#countState.lockMap))return;const restoreScrollDelay2=this.#restoreScrollDelay();this.#countState.scheduleCleanupIfNoNewLocks(restoreScrollDelay2,()=>{this.#countState.resetBodyStyle()})}))}}function isAnyLocked(map2){ -for(const[_,value]of map2)if(value)return!0;return!1}function Scroll_lock($$anchor,$$props){push$1($$props,!0);let preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null);preventScroll()&&new BodyScrollLock(preventScroll(),()=>restoreScrollDelay()),pop()}var root_6$B=from_html(" ",1),root_8$y=from_html("
",1);function Alert_dialog_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props, -"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"ignore"),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),preventScroll=prop($$props,"preventScroll",3,!0),trapFocus=prop($$props,"trapFocus",3,!0), -restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","interactOutsideBehavior","onCloseAutoFocus","onEscapeKeydown","onOpenAutoFocus","onInteractOutside","preventScroll","trapFocus","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(), -node2=first_child(fragment);{var consequent_2=$$anchor2=>{Focus_scope($$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open.current},get onCloseAutoFocus(){return onCloseAutoFocus()},onOpenAutoFocus:e=>{onOpenAutoFocus()(e),!e.defaultPrevented&&(e.preventDefault(),afterSleep(0,()=>contentState.opts.ref.current?.focus()))},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer( -$$anchor3,spread_props(()=>get$3(mergedProps),{get enabled(){return contentState.root.opts.open.current},get ref(){return contentState.opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},get interactOutsideBehavior(){return interactOutsideBehavior()}, -onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child(fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$B(),node_2=first_child(fragment_6);{var consequent=$$anchor8=>{ -Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props.child,()=>get$3($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{var fragment_8=root_8$y(),node_4=first_child(fragment_8); -Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling(node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps),focusScopeProps())]);var node_5=child(div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})}; -if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render(consequent_2)})}append($$anchor,fragment),pop()}var root_3$11=from_html("
");function Dialog_overlay$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),forceMount=prop($$props,"forceMount",3,!1),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","forceMount","child","children","ref"]);const overlayState=DialogOverlayState. -create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,overlayState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps)),...overlayState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3( -$0))}append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$11();attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps))]);var node_3=child(div);snippet(node_3,()=>$$props.children??noop$3,()=>overlayState.snippetProps),reset(div),append($$anchor3,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{(overlayState.shouldRender||forceMount())&&$$render(consequent_1)})}append($$anchor, -fragment),pop()}var root_2$1B=from_html("
");function Dialog_description$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref"]);const descriptionState=DialogDescriptionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,descriptionState. -props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1B();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent): -$$render(alternate,-1)})}append($$anchor,fragment),pop()}const checkboxAttrs=createBitsAttrs({component:"checkbox",parts:["root","group","group-label","input"]}),CheckboxGroupContext=new Context$1("Checkbox.Group"),CheckboxRootContext=new Context$1("Checkbox.Root");class CheckboxRootState{static create(opts,group=null){return CheckboxRootContext.set(new CheckboxRootState(opts,group))}opts;group;#trueName=user_derived(()=>this.group&&this.group.opts.name.current?this.group.opts.name.current:this. -opts.name.current);get trueName(){return get$3(this.#trueName)}set trueName(value){set$1(this.#trueName,value)}#trueRequired=user_derived(()=>this.group&&this.group.opts.required.current?!0:this.opts.required.current);get trueRequired(){return get$3(this.#trueRequired)}set trueRequired(value){set$1(this.#trueRequired,value)}#trueDisabled=user_derived(()=>this.group&&this.group.opts.disabled.current?!0:this.opts.disabled.current);get trueDisabled(){return get$3(this.#trueDisabled)}set trueDisabled(value){ -set$1(this.#trueDisabled,value)}#trueReadonly=user_derived(()=>this.group&&this.group.opts.readonly.current?!0:this.opts.readonly.current);get trueReadonly(){return get$3(this.#trueReadonly)}set trueReadonly(value){set$1(this.#trueReadonly,value)}attachment;constructor(opts,group){this.opts=opts,this.group=group,this.attachment=attachRef(this.opts.ref),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),watch$1.pre([()=>snapshot(this.group?.opts.value.current),()=>this. -opts.value.current],([groupValue,value])=>{!groupValue||!value||(this.opts.checked.current=groupValue.includes(value))}),watch$1.pre(()=>this.opts.checked.current,checked=>{this.group&&(checked?this.group?.addValue(this.opts.value.current):this.group?.removeValue(this.opts.value.current))})}onkeydown(e){if(!(this.trueDisabled||this.trueReadonly)){if(e.key===ENTER){e.preventDefault(),this.opts.type.current==="submit"&&e.currentTarget.closest("form")?.requestSubmit();return}e.key===SPACE&&(e.preventDefault(), -this.#toggle())}}#toggle(){this.opts.indeterminate.current?(this.opts.indeterminate.current=!1,this.opts.checked.current=!0):this.opts.checked.current=!this.opts.checked.current}onclick(e){if(!(this.trueDisabled||this.trueReadonly)){if(this.opts.type.current==="submit"){this.#toggle();return}e.preventDefault(),this.#toggle()}}#snippetProps=user_derived(()=>({checked:this.opts.checked.current,indeterminate:this.opts.indeterminate.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){ -set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"checkbox",type:this.opts.type.current,disabled:this.trueDisabled,"aria-checked":getAriaChecked(this.opts.checked.current,this.opts.indeterminate.current),"aria-required":boolToStr(this.trueRequired),"aria-readonly":boolToStr(this.trueReadonly),"data-disabled":boolToEmptyStrOrUndef(this.trueDisabled),"data-readonly":boolToEmptyStrOrUndef(this.trueReadonly),"data-state":getCheckboxDataState(this.opts.checked.current, -this.opts.indeterminate.current),[checkboxAttrs.root]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CheckboxInputState{static create(){return new CheckboxInputState(CheckboxRootContext.get())}root;#trueChecked=user_derived(()=>this.root.group?!!(this.root.opts.value.current!==void 0&&this.root.group.opts.value.current.includes(this.root.opts.value.current)):this.root.opts.checked.current);get trueChecked(){ -return get$3(this.#trueChecked)}set trueChecked(value){set$1(this.#trueChecked,value)}#shouldRender=user_derived(()=>!!this.root.trueName);get shouldRender(){return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(root2){this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(_){isHTMLElement$1(this.root.opts.ref.current)&&this.root.opts.ref.current.focus()}#props=user_derived(()=>({type:"checkbox",checked:this.root.opts.checked.current===!0,disabled:this. -root.trueDisabled,required:this.root.trueRequired,name:this.root.trueName,value:this.root.opts.value.current,readonly:this.root.trueReadonly,onfocus:this.onfocus}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function getCheckboxDataState(checked,indeterminate){return indeterminate?"indeterminate":checked?"checked":"unchecked"}enable_legacy_mode_flag();var root_1$16=from_html(""),root_2$1A=from_html("");function Hidden_input($$anchor,$$props){ -push$1($$props,!0);let value=prop($$props,"value",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","value"]);const mergedProps=user_derived(()=>mergeProps(restProps,{"aria-hidden":"true",tabindex:-1,style:{...srOnlyStyles$1,position:"absolute",top:"0",left:"0"}}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$16();attribute_effect(input,()=>({...get$3(mergedProps),value:value()}),void 0,void 0,void 0,void 0,!0),append($$anchor2, -input)},alternate=$$anchor2=>{var input_1=root_2$1A();attribute_effect(input_1,()=>({...get$3(mergedProps)}),void 0,void 0,void 0,void 0,!0),bind_value(input_1,value),append($$anchor2,input_1)};if_block(node2,$$render=>{get$3(mergedProps).type==="checkbox"?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Checkbox_input($$anchor,$$props){push$1($$props,!1);const inputState=CheckboxInputState.create();init();var fragment=comment$2(),node2=first_child(fragment); -{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1z=from_html(""),root$1U=from_html(" ",1);function Checkbox$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let checked=prop($$props,"checked",15,!1),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),required2=prop($$props,"required", -3,!1),name=prop($$props,"name",3,void 0),value=prop($$props,"value",3,"on"),id2=prop($$props,"id",19,()=>createId(uid2)),indeterminate=prop($$props,"indeterminate",15,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","checked","ref","onCheckedChange","children","disabled","required","name","value","id","indeterminate","onIndeterminateChange","child","type","readonly"]);const group=CheckboxGroupContext.getOr(null);group&&value()&&(group.opts.value. -current.includes(value())?checked(!0):checked(!1)),watch$1.pre(()=>value(),()=>{group&&value()&&(group.opts.value.current.includes(value())?checked(!0):checked(!1))});const rootState=CheckboxRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),$$props.onCheckedChange?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),name:boxWith$1(()=>name()),value:boxWith$1(()=>value()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),indeterminate:boxWith$1( -()=>indeterminate(),v=>{indeterminate(v),$$props.onIndeterminateChange?.(v)}),type:boxWith$1(()=>type2()),readonly:boxWith$1(()=>!!$$props.readonly)},group),mergedProps=user_derived(()=>mergeProps({...restProps},rootState.props));var fragment=root$1U(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append( -$$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1z();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Checkbox_input(node_3,{}),append($$anchor,fragment),pop()}const collapsibleAttrs=createBitsAttrs({component:"collapsible",parts:[ -"root","content","trigger"]}),CollapsibleRootContext=new Context$1("Collapsible.Root");class CollapsibleRootState{static create(opts){return CollapsibleRootContext.set(new CollapsibleRootState(opts))}opts;attachment;#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#contentId=state$1(void 0);get contentId(){return get$3(this.#contentId)}set contentId(value){set$1(this.#contentId,value,!0)}constructor(opts){ -this.opts=opts,this.toggleOpen=this.toggleOpen.bind(this),this.attachment=attachRef(this.opts.ref),this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}})}toggleOpen(){this.opts.open.current=!this.opts.open.current}#props=user_derived(()=>({id:this.opts.id.current,"data-state":getDataOpenClosed(this.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled. -current),[collapsibleAttrs.root]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleContentState{static create(opts){return new CollapsibleContentState(opts,CollapsibleRootContext.get())}opts;root;attachment;#present=user_derived(()=>this.opts.hiddenUntilFound.current?this.root.opts.open.current:this.opts.forceMount.current||this.root.opts.open.current);get present(){return get$3(this.#present)}set present(value){set$1(this.#present, -value)}#originalStyles;#isMountAnimationPrevented=state$1(!1);#width=state$1(0);#height=state$1(0);constructor(opts,root2){this.opts=opts,this.root=root2,set$1(this.#isMountAnimationPrevented,root2.opts.open.current,!0),this.root.contentId=this.opts.id.current,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.contentId=id2}),user_pre_effect(()=>{const rAF=requestAnimationFrame(()=>{set$1(this.#isMountAnimationPrevented,!1)}); -return()=>{cancelAnimationFrame(rAF)}}),watch$1.pre([()=>this.opts.ref.current,()=>this.opts.hiddenUntilFound.current],([node2,hiddenUntilFound])=>!node2||!hiddenUntilFound?void 0:on(node2,"beforematch",()=>{this.root.opts.open.current||requestAnimationFrame(()=>{this.root.opts.open.current=!0})})),watch$1([()=>this.opts.ref.current,()=>this.present],([node2])=>{node2&&afterTick(()=>{if(!this.opts.ref.current)return;this.#originalStyles=this.#originalStyles||{transitionDuration:node2.style.transitionDuration, -animationName:node2.style.animationName},node2.style.transitionDuration="0s",node2.style.animationName="none";const rect=node2.getBoundingClientRect();if(set$1(this.#height,rect.height,!0),set$1(this.#width,rect.width,!0),!get$3(this.#isMountAnimationPrevented)){const{animationName,transitionDuration}=this.#originalStyles;node2.style.transitionDuration=transitionDuration,node2.style.animationName=animationName}})})}get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived( -()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,style:{"--bits-collapsible-content-height":get$3(this.#height)?`${get$3(this.#height)}px`:void 0,"--bits-collapsible-content-width":get$3(this.#width)?`${get$3(this.#width)}px`:void 0},hidden:this.opts.hiddenUntilFound.current&&!this.root.opts.open.current?"until-found":void 0,"data-state":getDataOpenClosed( -this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),"data-disabled":boolToEmptyStrOrUndef(this.root.opts.disabled.current),[collapsibleAttrs.content]:"",...this.opts.hiddenUntilFound.current&&!this.shouldRender?{}:{hidden:this.opts.hiddenUntilFound.current?!this.shouldRender:this.opts.forceMount.current?void 0:!this.shouldRender},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleTriggerState{static create(opts){ -return new CollapsibleTriggerState(opts,CollapsibleRootContext.get())}opts;root;attachment;#isDisabled=user_derived(()=>this.opts.disabled.current||this.root.opts.disabled.current);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){if(!get$3(this.#isDisabled)){if(e.button!==0)return e.preventDefault();this.root.toggleOpen()}}onkeydown(e){get$3(this.#isDisabled)||(e. -key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.toggleOpen())}#props=user_derived(()=>({id:this.opts.id.current,type:"button",disabled:get$3(this.#isDisabled),"aria-controls":this.root.contentId,"aria-expanded":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(get$3(this.#isDisabled)),[collapsibleAttrs.trigger]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3( -this.#props)}set props(value){set$1(this.#props,value)}}var root_2$1y=from_html("
");function Collapsible$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!1),disabled=prop($$props,"disabled",3,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),restProps=rest_props($$props,["$$slots","$$event\ -s","$$legacy","children","child","id","ref","open","disabled","onOpenChange","onOpenChangeComplete"]);const rootState=CollapsibleRootState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),disabled:boxWith$1(()=>disabled()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{ -var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1y();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1x=from_html("
");function Collapsible_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),hiddenUntilFound=prop($$props,"hiddenUntilFound",3,!1),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","ref","forceMount","hiddenUntilFound","children","id"]);const contentState=CollapsibleContentState.create({id:boxWith$1(()=>id2()),forceMount:boxWith$1( -()=>forceMount()),hiddenUntilFound:boxWith$1(()=>hiddenUntilFound()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({...contentState.snippetProps,props:get$3(mergedProps)}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{ -var div=root_2$1x();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1w=from_html("");function Collapsible_trigger$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId( -uid2)),disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","ref","id","disabled"]);const triggerState=CollapsibleTriggerState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1); -snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1w();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}const sides=["top","right","bottom","left"],min=Math.min,max=Math.max,round=Math. -round,floor=Math.floor,createCoords=v=>({x:v,y:v}),oppositeSideMap={left:"right",right:"left",bottom:"top",top:"bottom"},oppositeAlignmentMap={start:"end",end:"start"};function clamp$1(start2,value,end){return max(start2,min(value,end))}function evaluate(value,param){return typeof value=="function"?value(param):value}function getSide$1(placement){return placement.split("-")[0]}function getAlignment(placement){return placement.split("-")[1]}function getOppositeAxis(axis){return axis==="x"?"y":"x"} -function getAxisLength(axis){return axis==="y"?"height":"width"}const yAxisSides=new Set(["top","bottom"]);function getSideAxis(placement){return yAxisSides.has(getSide$1(placement))?"y":"x"}function getAlignmentAxis(placement){return getOppositeAxis(getSideAxis(placement))}function getAlignmentSides(placement,rects,rtl){rtl===void 0&&(rtl=!1);const alignment=getAlignment(placement),alignmentAxis=getAlignmentAxis(placement),length=getAxisLength(alignmentAxis);let mainAlignmentSide=alignmentAxis=== -"x"?alignment===(rtl?"end":"start")?"right":"left":alignment==="start"?"bottom":"top";return rects.reference[length]>rects.floating[length]&&(mainAlignmentSide=getOppositePlacement(mainAlignmentSide)),[mainAlignmentSide,getOppositePlacement(mainAlignmentSide)]}function getExpandedPlacements(placement){const oppositePlacement=getOppositePlacement(placement);return[getOppositeAlignmentPlacement(placement),oppositePlacement,getOppositeAlignmentPlacement(oppositePlacement)]}function getOppositeAlignmentPlacement(placement){ -return placement.replace(/start|end/g,alignment=>oppositeAlignmentMap[alignment])}const lrPlacement=["left","right"],rlPlacement=["right","left"],tbPlacement=["top","bottom"],btPlacement=["bottom","top"];function getSideList(side,isStart,rtl){switch(side){case"top":case"bottom":return rtl?isStart?rlPlacement:lrPlacement:isStart?lrPlacement:rlPlacement;case"left":case"right":return isStart?tbPlacement:btPlacement;default:return[]}}function getOppositeAxisPlacements(placement,flipAlignment,direction,rtl){ -const alignment=getAlignment(placement);let list2=getSideList(getSide$1(placement),direction==="start",rtl);return alignment&&(list2=list2.map(side=>side+"-"+alignment),flipAlignment&&(list2=list2.concat(list2.map(getOppositeAlignmentPlacement)))),list2}function getOppositePlacement(placement){return placement.replace(/left|right|bottom|top/g,side=>oppositeSideMap[side])}function expandPaddingObject(padding){return{top:0,right:0,bottom:0,left:0,...padding}}function getPaddingObject(padding){return typeof padding!= -"number"?expandPaddingObject(padding):{top:padding,right:padding,bottom:padding,left:padding}}function rectToClientRect(rect){const{x,y,width,height}=rect;return{width,height,top:y,left:x,right:x+width,bottom:y+height,x,y}}function computeCoordsFromPlacement(_ref,placement,rtl){let{reference,floating}=_ref;const sideAxis=getSideAxis(placement),alignmentAxis=getAlignmentAxis(placement),alignLength=getAxisLength(alignmentAxis),side=getSide$1(placement),isVertical=sideAxis==="y",commonX=reference.x+ -reference.width/2-floating.width/2,commonY=reference.y+reference.height/2-floating.height/2,commonAlign=reference[alignLength]/2-floating[alignLength]/2;let coords;switch(side){case"top":coords={x:commonX,y:reference.y-floating.height};break;case"bottom":coords={x:commonX,y:reference.y+reference.height};break;case"right":coords={x:reference.x+reference.width,y:commonY};break;case"left":coords={x:reference.x-floating.width,y:commonY};break;default:coords={x:reference.x,y:reference.y}}switch(getAlignment( -placement)){case"start":coords[alignmentAxis]-=commonAlign*(rtl&&isVertical?-1:1);break;case"end":coords[alignmentAxis]+=commonAlign*(rtl&&isVertical?-1:1);break}return coords}const computePosition$1=async(reference,floating,config2)=>{const{placement="bottom",strategy="absolute",middleware=[],platform:platform2}=config2,validMiddleware=middleware.filter(Boolean),rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(floating));let rects=await platform2.getElementRects({reference,floating,strategy}), -{x,y}=computeCoordsFromPlacement(rects,placement,rtl),statefulPlacement=placement,middlewareData={},resetCount=0;for(let i=0;i({name:"arrow",options,async fn(state2){const{x,y,placement,rects,platform:platform2,elements,middlewareData}=state2,{element:element2,padding=0}=evaluate(options,state2)||{};if(element2==null)return{};const paddingObject=getPaddingObject(padding),coords={x,y},axis=getAlignmentAxis(placement),length=getAxisLength(axis),arrowDimensions=await platform2.getDimensions(element2),isYAxis=axis=== -"y",minProp=isYAxis?"top":"left",maxProp=isYAxis?"bottom":"right",clientProp=isYAxis?"clientHeight":"clientWidth",endDiff=rects.reference[length]+rects.reference[axis]-coords[axis]-rects.floating[length],startDiff=coords[axis]-rects.reference[axis],arrowOffsetParent=await(platform2.getOffsetParent==null?void 0:platform2.getOffsetParent(element2));let clientSize=arrowOffsetParent?arrowOffsetParent[clientProp]:0;(!clientSize||!await(platform2.isElement==null?void 0:platform2.isElement(arrowOffsetParent)))&& -(clientSize=elements.floating[clientProp]||rects.floating[length]);const centerToReference=endDiff/2-startDiff/2,largestPossiblePadding=clientSize/2-arrowDimensions[length]/2-1,minPadding=min(paddingObject[minProp],largestPossiblePadding),maxPadding=min(paddingObject[maxProp],largestPossiblePadding),min$1=minPadding,max2=clientSize-arrowDimensions[length]-maxPadding,center=clientSize/2-arrowDimensions[length]/2+centerToReference,offset2=clamp$1(min$1,center,max2),shouldAddOffset=!middlewareData. -arrow&&getAlignment(placement)!=null&¢er!==offset2&&rects.reference[length]/2-(centerside2<=0)){var _middlewareData$flip2,_overflowsData$filter;const nextIndex=(((_middlewareData$flip2=middlewareData.flip)==null?void 0:_middlewareData$flip2.index)||0)+1,nextPlacement=placements[nextIndex];if(nextPlacement&&(!(checkCrossAxis==="alignment"?initialSideAxis!==getSideAxis(nextPlacement):!1)||overflowsData.every(d2=>d2.overflows[0]>0&&getSideAxis(d2.placement)===initialSideAxis)))return{data:{index:nextIndex,overflows:overflowsData},reset:{placement:nextPlacement}}; -let resetPlacement=(_overflowsData$filter=overflowsData.filter(d2=>d2.overflows[0]<=0).sort((a,b)=>a.overflows[1]-b.overflows[1])[0])==null?void 0:_overflowsData$filter.placement;if(!resetPlacement)switch(fallbackStrategy){case"bestFit":{var _overflowsData$filter2;const placement2=(_overflowsData$filter2=overflowsData.filter(d2=>{if(hasFallbackAxisSideDirection){const currentSideAxis=getSideAxis(d2.placement);return currentSideAxis===initialSideAxis||currentSideAxis==="y"}return!0}).map(d2=>[d2. -placement,d2.overflows.filter(overflow2=>overflow2>0).reduce((acc,overflow2)=>acc+overflow2,0)]).sort((a,b)=>a[1]-b[1])[0])==null?void 0:_overflowsData$filter2[0];placement2&&(resetPlacement=placement2);break}case"initialPlacement":resetPlacement=initialPlacement;break}if(placement!==resetPlacement)return{reset:{placement:resetPlacement}}}return{}}}};function getSideOffsets(overflow,rect){return{top:overflow.top-rect.height,right:overflow.right-rect.width,bottom:overflow.bottom-rect.height,left:overflow. -left-rect.width}}function isAnySideFullyClipped(overflow){return sides.some(side=>overflow[side]>=0)}const hide$1=function(options){return options===void 0&&(options={}),{name:"hide",options,async fn(state2){const{rects}=state2,{strategy="referenceHidden",...detectOverflowOptions}=evaluate(options,state2);switch(strategy){case"referenceHidden":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,elementContext:"reference"}),offsets=getSideOffsets(overflow,rects.reference);return{ -data:{referenceHiddenOffsets:offsets,referenceHidden:isAnySideFullyClipped(offsets)}}}case"escaped":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,altBoundary:!0}),offsets=getSideOffsets(overflow,rects.floating);return{data:{escapedOffsets:offsets,escaped:isAnySideFullyClipped(offsets)}}}default:return{}}}}},originSides=new Set(["left","top"]);async function convertValueToCoords(state2,options){const{placement,platform:platform2,elements}=state2,rtl=await(platform2.isRTL== -null?void 0:platform2.isRTL(elements.floating)),side=getSide$1(placement),alignment=getAlignment(placement),isVertical=getSideAxis(placement)==="y",mainAxisMulti=originSides.has(side)?-1:1,crossAxisMulti=rtl&&isVertical?-1:1,rawValue=evaluate(options,state2);let{mainAxis,crossAxis,alignmentAxis}=typeof rawValue=="number"?{mainAxis:rawValue,crossAxis:0,alignmentAxis:null}:{mainAxis:rawValue.mainAxis||0,crossAxis:rawValue.crossAxis||0,alignmentAxis:rawValue.alignmentAxis};return alignment&&typeof alignmentAxis== -"number"&&(crossAxis=alignment==="end"?alignmentAxis*-1:alignmentAxis),isVertical?{x:crossAxis*crossAxisMulti,y:mainAxis*mainAxisMulti}:{x:mainAxis*mainAxisMulti,y:crossAxis*crossAxisMulti}}const offset$1=function(options){return options===void 0&&(options=0),{name:"offset",options,async fn(state2){var _middlewareData$offse,_middlewareData$arrow;const{x,y,placement,middlewareData}=state2,diffCoords=await convertValueToCoords(state2,options);return placement===((_middlewareData$offse=middlewareData. -offset)==null?void 0:_middlewareData$offse.placement)&&(_middlewareData$arrow=middlewareData.arrow)!=null&&_middlewareData$arrow.alignmentOffset?{}:{x:x+diffCoords.x,y:y+diffCoords.y,data:{...diffCoords,placement}}}}},shift$1=function(options){return options===void 0&&(options={}),{name:"shift",options,async fn(state2){const{x,y,placement}=state2,{mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!1,limiter={fn:_ref=>{let{x:x2,y:y2}=_ref;return{x:x2,y:y2}}},...detectOverflowOptions}=evaluate(options, -state2),coords={x,y},overflow=await detectOverflow(state2,detectOverflowOptions),crossAxis=getSideAxis(getSide$1(placement)),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];if(checkMainAxis){const minSide=mainAxis==="y"?"top":"left",maxSide=mainAxis==="y"?"bottom":"right",min2=mainAxisCoord+overflow[minSide],max2=mainAxisCoord-overflow[maxSide];mainAxisCoord=clamp$1(min2,mainAxisCoord,max2)}if(checkCrossAxis){const minSide=crossAxis==="y"?"\ -top":"left",maxSide=crossAxis==="y"?"bottom":"right",min2=crossAxisCoord+overflow[minSide],max2=crossAxisCoord-overflow[maxSide];crossAxisCoord=clamp$1(min2,crossAxisCoord,max2)}const limitedCoords=limiter.fn({...state2,[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord});return{...limitedCoords,data:{x:limitedCoords.x-x,y:limitedCoords.y-y,enabled:{[mainAxis]:checkMainAxis,[crossAxis]:checkCrossAxis}}}}}},limitShift$1=function(options){return options===void 0&&(options={}),{options,fn(state2){ -const{x,y,placement,rects,middlewareData}=state2,{offset:offset2=0,mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!0}=evaluate(options,state2),coords={x,y},crossAxis=getSideAxis(placement),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];const rawOffset=evaluate(offset2,state2),computedOffset=typeof rawOffset=="number"?{mainAxis:rawOffset,crossAxis:0}:{mainAxis:0,crossAxis:0,...rawOffset};if(checkMainAxis){const len=mainAxis==="y"?"heigh\ -t":"width",limitMin=rects.reference[mainAxis]-rects.floating[len]+computedOffset.mainAxis,limitMax=rects.reference[mainAxis]+rects.reference[len]-computedOffset.mainAxis;mainAxisCoordlimitMax&&(mainAxisCoord=limitMax)}if(checkCrossAxis){var _middlewareData$offse,_middlewareData$offse2;const len=mainAxis==="y"?"width":"height",isOriginSide=originSides.has(getSide$1(placement)),limitMin=rects.reference[crossAxis]-rects.floating[len]+(isOriginSide&&((_middlewareData$offse= -middlewareData.offset)==null?void 0:_middlewareData$offse[crossAxis])||0)+(isOriginSide?0:computedOffset.crossAxis),limitMax=rects.reference[crossAxis]+rects.reference[len]+(isOriginSide?0:((_middlewareData$offse2=middlewareData.offset)==null?void 0:_middlewareData$offse2[crossAxis])||0)-(isOriginSide?computedOffset.crossAxis:0);crossAxisCoordlimitMax&&(crossAxisCoord=limitMax)}return{[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord}}}},size$1=function(options){ -return options===void 0&&(options={}),{name:"size",options,async fn(state2){var _state$middlewareData,_state$middlewareData2;const{placement,rects,platform:platform2,elements}=state2,{apply=()=>{},...detectOverflowOptions}=evaluate(options,state2),overflow=await detectOverflow(state2,detectOverflowOptions),side=getSide$1(placement),alignment=getAlignment(placement),isYAxis=getSideAxis(placement)==="y",{width,height}=rects.floating;let heightSide,widthSide;side==="top"||side==="bottom"?(heightSide= -side,widthSide=alignment===(await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating))?"start":"end")?"left":"right"):(widthSide=side,heightSide=alignment==="end"?"top":"bottom");const maximumClippingHeight=height-overflow.top-overflow.bottom,maximumClippingWidth=width-overflow.left-overflow.right,overflowAvailableHeight=min(height-overflow[heightSide],maximumClippingHeight),overflowAvailableWidth=min(width-overflow[widthSide],maximumClippingWidth),noShift=!state2.middlewareData.shift; -let availableHeight=overflowAvailableHeight,availableWidth=overflowAvailableWidth;if((_state$middlewareData=state2.middlewareData.shift)!=null&&_state$middlewareData.enabled.x&&(availableWidth=maximumClippingWidth),(_state$middlewareData2=state2.middlewareData.shift)!=null&&_state$middlewareData2.enabled.y&&(availableHeight=maximumClippingHeight),noShift&&!alignment){const xMin=max(overflow.left,0),xMax=max(overflow.right,0),yMin=max(overflow.top,0),yMax=max(overflow.bottom,0);isYAxis?availableWidth= -width-2*(xMin!==0||xMax!==0?xMin+xMax:max(overflow.left,overflow.right)):availableHeight=height-2*(yMin!==0||yMax!==0?yMin+yMax:max(overflow.top,overflow.bottom))}await apply({...state2,availableWidth,availableHeight});const nextDimensions=await platform2.getDimensions(elements.floating);return width!==nextDimensions.width||height!==nextDimensions.height?{reset:{rects:!0}}:{}}}};function hasWindow(){return typeof window<"u"}function getNodeName(node2){return isNode(node2)?(node2.nodeName||"").toLowerCase(): -"#document"}function getWindow(node2){var _node$ownerDocument;return(node2==null||(_node$ownerDocument=node2.ownerDocument)==null?void 0:_node$ownerDocument.defaultView)||window}function getDocumentElement(node2){var _ref;return(_ref=(isNode(node2)?node2.ownerDocument:node2.document)||window.document)==null?void 0:_ref.documentElement}function isNode(value){return hasWindow()?value instanceof Node||value instanceof getWindow(value).Node:!1}function isElement(value){return hasWindow()?value instanceof -Element||value instanceof getWindow(value).Element:!1}function isHTMLElement(value){return hasWindow()?value instanceof HTMLElement||value instanceof getWindow(value).HTMLElement:!1}function isShadowRoot(value){return!hasWindow()||typeof ShadowRoot>"u"?!1:value instanceof ShadowRoot||value instanceof getWindow(value).ShadowRoot}const invalidOverflowDisplayValues=new Set(["inline","contents"]);function isOverflowElement(element2){const{overflow,overflowX,overflowY,display}=getComputedStyle$1(element2); -return/auto|scroll|overlay|hidden|clip/.test(overflow+overflowY+overflowX)&&!invalidOverflowDisplayValues.has(display)}const tableElements=new Set(["table","td","th"]);function isTableElement(element2){return tableElements.has(getNodeName(element2))}const topLayerSelectors=[":popover-open",":modal"];function isTopLayer(element2){return topLayerSelectors.some(selector=>{try{return element2.matches(selector)}catch{return!1}})}const transformProperties=["transform","translate","scale","rotate","per\ -spective"],willChangeValues=["transform","translate","scale","rotate","perspective","filter"],containValues=["paint","layout","strict","content"];function isContainingBlock(elementOrCss){const webkit=isWebKit(),css2=isElement(elementOrCss)?getComputedStyle$1(elementOrCss):elementOrCss;return transformProperties.some(value=>css2[value]?css2[value]!=="none":!1)||(css2.containerType?css2.containerType!=="normal":!1)||!webkit&&(css2.backdropFilter?css2.backdropFilter!=="none":!1)||!webkit&&(css2.filter? -css2.filter!=="none":!1)||willChangeValues.some(value=>(css2.willChange||"").includes(value))||containValues.some(value=>(css2.contain||"").includes(value))}function getContainingBlock(element2){let currentNode=getParentNode(element2);for(;isHTMLElement(currentNode)&&!isLastTraversableNode(currentNode);){if(isContainingBlock(currentNode))return currentNode;if(isTopLayer(currentNode))return null;currentNode=getParentNode(currentNode)}return null}function isWebKit(){return typeof CSS>"u"||!CSS.supports? -!1:CSS.supports("-webkit-backdrop-filter","none")}const lastTraversableNodeNames=new Set(["html","body","#document"]);function isLastTraversableNode(node2){return lastTraversableNodeNames.has(getNodeName(node2))}function getComputedStyle$1(element2){return getWindow(element2).getComputedStyle(element2)}function getNodeScroll(element2){return isElement(element2)?{scrollLeft:element2.scrollLeft,scrollTop:element2.scrollTop}:{scrollLeft:element2.scrollX,scrollTop:element2.scrollY}}function getParentNode(node2){ -if(getNodeName(node2)==="html")return node2;const result=node2.assignedSlot||node2.parentNode||isShadowRoot(node2)&&node2.host||getDocumentElement(node2);return isShadowRoot(result)?result.host:result}function getNearestOverflowAncestor(node2){const parentNode=getParentNode(node2);return isLastTraversableNode(parentNode)?node2.ownerDocument?node2.ownerDocument.body:node2.body:isHTMLElement(parentNode)&&isOverflowElement(parentNode)?parentNode:getNearestOverflowAncestor(parentNode)}function getOverflowAncestors(node2,list2,traverseIframes){ -var _node$ownerDocument2;list2===void 0&&(list2=[]),traverseIframes===void 0&&(traverseIframes=!0);const scrollableAncestor=getNearestOverflowAncestor(node2),isBody=scrollableAncestor===((_node$ownerDocument2=node2.ownerDocument)==null?void 0:_node$ownerDocument2.body),win=getWindow(scrollableAncestor);if(isBody){const frameElement=getFrameElement(win);return list2.concat(win,win.visualViewport||[],isOverflowElement(scrollableAncestor)?scrollableAncestor:[],frameElement&&traverseIframes?getOverflowAncestors( -frameElement):[])}return list2.concat(scrollableAncestor,getOverflowAncestors(scrollableAncestor,[],traverseIframes))}function getFrameElement(win){return win.parent&&Object.getPrototypeOf(win.parent)?win.frameElement:null}function getCssDimensions(element2){const css2=getComputedStyle$1(element2);let width=parseFloat(css2.width)||0,height=parseFloat(css2.height)||0;const hasOffset=isHTMLElement(element2),offsetWidth=hasOffset?element2.offsetWidth:width,offsetHeight=hasOffset?element2.offsetHeight: -height,shouldFallback=round(width)!==offsetWidth||round(height)!==offsetHeight;return shouldFallback&&(width=offsetWidth,height=offsetHeight),{width,height,$:shouldFallback}}function unwrapElement(element2){return isElement(element2)?element2:element2.contextElement}function getScale(element2){const domElement=unwrapElement(element2);if(!isHTMLElement(domElement))return createCoords(1);const rect=domElement.getBoundingClientRect(),{width,height,$}=getCssDimensions(domElement);let x=($?round(rect. -width):rect.width)/width,y=($?round(rect.height):rect.height)/height;return(!x||!Number.isFinite(x))&&(x=1),(!y||!Number.isFinite(y))&&(y=1),{x,y}}const noOffsets=createCoords(0);function getVisualOffsets(element2){const win=getWindow(element2);return!isWebKit()||!win.visualViewport?noOffsets:{x:win.visualViewport.offsetLeft,y:win.visualViewport.offsetTop}}function shouldAddVisualOffsets(element2,isFixed,floatingOffsetParent){return isFixed===void 0&&(isFixed=!1),!floatingOffsetParent||isFixed&& -floatingOffsetParent!==getWindow(element2)?!1:isFixed}function getBoundingClientRect(element2,includeScale,isFixedStrategy,offsetParent){includeScale===void 0&&(includeScale=!1),isFixedStrategy===void 0&&(isFixedStrategy=!1);const clientRect=element2.getBoundingClientRect(),domElement=unwrapElement(element2);let scale2=createCoords(1);includeScale&&(offsetParent?isElement(offsetParent)&&(scale2=getScale(offsetParent)):scale2=getScale(element2));const visualOffsets=shouldAddVisualOffsets(domElement, -isFixedStrategy,offsetParent)?getVisualOffsets(domElement):createCoords(0);let x=(clientRect.left+visualOffsets.x)/scale2.x,y=(clientRect.top+visualOffsets.y)/scale2.y,width=clientRect.width/scale2.x,height=clientRect.height/scale2.y;if(domElement){const win=getWindow(domElement),offsetWin=offsetParent&&isElement(offsetParent)?getWindow(offsetParent):offsetParent;let currentWin=win,currentIFrame=getFrameElement(currentWin);for(;currentIFrame&&offsetParent&&offsetWin!==currentWin;){const iframeScale=getScale( -currentIFrame),iframeRect=currentIFrame.getBoundingClientRect(),css2=getComputedStyle$1(currentIFrame),left=iframeRect.left+(currentIFrame.clientLeft+parseFloat(css2.paddingLeft))*iframeScale.x,top=iframeRect.top+(currentIFrame.clientTop+parseFloat(css2.paddingTop))*iframeScale.y;x*=iframeScale.x,y*=iframeScale.y,width*=iframeScale.x,height*=iframeScale.y,x+=left,y+=top,currentWin=getWindow(currentIFrame),currentIFrame=getFrameElement(currentWin)}}return rectToClientRect({width,height,x,y})}function getWindowScrollBarX(element2,rect){ -const leftScroll=getNodeScroll(element2).scrollLeft;return rect?rect.left+leftScroll:getBoundingClientRect(getDocumentElement(element2)).left+leftScroll}function getHTMLOffset(documentElement,scroll,ignoreScrollbarX){ignoreScrollbarX===void 0&&(ignoreScrollbarX=!1);const htmlRect=documentElement.getBoundingClientRect(),x=htmlRect.left+scroll.scrollLeft-(ignoreScrollbarX?0:getWindowScrollBarX(documentElement,htmlRect)),y=htmlRect.top+scroll.scrollTop;return{x,y}}function convertOffsetParentRelativeRectToViewportRelativeRect(_ref){ -let{elements,rect,offsetParent,strategy}=_ref;const isFixed=strategy==="fixed",documentElement=getDocumentElement(offsetParent),topLayer=elements?isTopLayer(elements.floating):!1;if(offsetParent===documentElement||topLayer&&isFixed)return rect;let scroll={scrollLeft:0,scrollTop:0},scale2=createCoords(1);const offsets=createCoords(0),isOffsetParentAnElement=isHTMLElement(offsetParent);if((isOffsetParentAnElement||!isOffsetParentAnElement&&!isFixed)&&((getNodeName(offsetParent)!=="body"||isOverflowElement( -documentElement))&&(scroll=getNodeScroll(offsetParent)),isHTMLElement(offsetParent))){const offsetRect=getBoundingClientRect(offsetParent);scale2=getScale(offsetParent),offsets.x=offsetRect.x+offsetParent.clientLeft,offsets.y=offsetRect.y+offsetParent.clientTop}const htmlOffset=documentElement&&!isOffsetParentAnElement&&!isFixed?getHTMLOffset(documentElement,scroll,!0):createCoords(0);return{width:rect.width*scale2.x,height:rect.height*scale2.y,x:rect.x*scale2.x-scroll.scrollLeft*scale2.x+offsets. -x+htmlOffset.x,y:rect.y*scale2.y-scroll.scrollTop*scale2.y+offsets.y+htmlOffset.y}}function getClientRects(element2){return Array.from(element2.getClientRects())}function getDocumentRect(element2){const html2=getDocumentElement(element2),scroll=getNodeScroll(element2),body2=element2.ownerDocument.body,width=max(html2.scrollWidth,html2.clientWidth,body2.scrollWidth,body2.clientWidth),height=max(html2.scrollHeight,html2.clientHeight,body2.scrollHeight,body2.clientHeight);let x=-scroll.scrollLeft+getWindowScrollBarX( -element2);const y=-scroll.scrollTop;return getComputedStyle$1(body2).direction==="rtl"&&(x+=max(html2.clientWidth,body2.clientWidth)-width),{width,height,x,y}}function getViewportRect(element2,strategy){const win=getWindow(element2),html2=getDocumentElement(element2),visualViewport=win.visualViewport;let width=html2.clientWidth,height=html2.clientHeight,x=0,y=0;if(visualViewport){width=visualViewport.width,height=visualViewport.height;const visualViewportBased=isWebKit();(!visualViewportBased||visualViewportBased&& -strategy==="fixed")&&(x=visualViewport.offsetLeft,y=visualViewport.offsetTop)}return{width,height,x,y}}const absoluteOrFixed=new Set(["absolute","fixed"]);function getInnerBoundingClientRect(element2,strategy){const clientRect=getBoundingClientRect(element2,!0,strategy==="fixed"),top=clientRect.top+element2.clientTop,left=clientRect.left+element2.clientLeft,scale2=isHTMLElement(element2)?getScale(element2):createCoords(1),width=element2.clientWidth*scale2.x,height=element2.clientHeight*scale2.y, -x=left*scale2.x,y=top*scale2.y;return{width,height,x,y}}function getClientRectFromClippingAncestor(element2,clippingAncestor,strategy){let rect;if(clippingAncestor==="viewport")rect=getViewportRect(element2,strategy);else if(clippingAncestor==="document")rect=getDocumentRect(getDocumentElement(element2));else if(isElement(clippingAncestor))rect=getInnerBoundingClientRect(clippingAncestor,strategy);else{const visualOffsets=getVisualOffsets(element2);rect={x:clippingAncestor.x-visualOffsets.x,y:clippingAncestor. -y-visualOffsets.y,width:clippingAncestor.width,height:clippingAncestor.height}}return rectToClientRect(rect)}function hasFixedPositionAncestor(element2,stopNode){const parentNode=getParentNode(element2);return parentNode===stopNode||!isElement(parentNode)||isLastTraversableNode(parentNode)?!1:getComputedStyle$1(parentNode).position==="fixed"||hasFixedPositionAncestor(parentNode,stopNode)}function getClippingElementAncestors(element2,cache2){const cachedResult=cache2.get(element2);if(cachedResult) -return cachedResult;let result=getOverflowAncestors(element2,[],!1).filter(el=>isElement(el)&&getNodeName(el)!=="body"),currentContainingBlockComputedStyle=null;const elementIsFixed=getComputedStyle$1(element2).position==="fixed";let currentNode=elementIsFixed?getParentNode(element2):element2;for(;isElement(currentNode)&&!isLastTraversableNode(currentNode);){const computedStyle=getComputedStyle$1(currentNode),currentNodeIsContaining=isContainingBlock(currentNode);!currentNodeIsContaining&&computedStyle. -position==="fixed"&&(currentContainingBlockComputedStyle=null),(elementIsFixed?!currentNodeIsContaining&&!currentContainingBlockComputedStyle:!currentNodeIsContaining&&computedStyle.position==="static"&&!!currentContainingBlockComputedStyle&&absoluteOrFixed.has(currentContainingBlockComputedStyle.position)||isOverflowElement(currentNode)&&!currentNodeIsContaining&&hasFixedPositionAncestor(element2,currentNode))?result=result.filter(ancestor=>ancestor!==currentNode):currentContainingBlockComputedStyle= -computedStyle,currentNode=getParentNode(currentNode)}return cache2.set(element2,result),result}function getClippingRect(_ref){let{element:element2,boundary:boundary2,rootBoundary,strategy}=_ref;const clippingAncestors=[...boundary2==="clippingAncestors"?isTopLayer(element2)?[]:getClippingElementAncestors(element2,this._c):[].concat(boundary2),rootBoundary],firstClippingAncestor=clippingAncestors[0],clippingRect=clippingAncestors.reduce((accRect,clippingAncestor)=>{const rect=getClientRectFromClippingAncestor( -element2,clippingAncestor,strategy);return accRect.top=max(rect.top,accRect.top),accRect.right=min(rect.right,accRect.right),accRect.bottom=min(rect.bottom,accRect.bottom),accRect.left=max(rect.left,accRect.left),accRect},getClientRectFromClippingAncestor(element2,firstClippingAncestor,strategy));return{width:clippingRect.right-clippingRect.left,height:clippingRect.bottom-clippingRect.top,x:clippingRect.left,y:clippingRect.top}}function getDimensions(element2){const{width,height}=getCssDimensions( -element2);return{width,height}}function getRectRelativeToOffsetParent(element2,offsetParent,strategy){const isOffsetParentAnElement=isHTMLElement(offsetParent),documentElement=getDocumentElement(offsetParent),isFixed=strategy==="fixed",rect=getBoundingClientRect(element2,!0,isFixed,offsetParent);let scroll={scrollLeft:0,scrollTop:0};const offsets=createCoords(0);function setLeftRTLScrollbarOffset(){offsets.x=getWindowScrollBarX(documentElement)}if(isOffsetParentAnElement||!isOffsetParentAnElement&& -!isFixed)if((getNodeName(offsetParent)!=="body"||isOverflowElement(documentElement))&&(scroll=getNodeScroll(offsetParent)),isOffsetParentAnElement){const offsetRect=getBoundingClientRect(offsetParent,!0,isFixed,offsetParent);offsets.x=offsetRect.x+offsetParent.clientLeft,offsets.y=offsetRect.y+offsetParent.clientTop}else documentElement&&setLeftRTLScrollbarOffset();isFixed&&!isOffsetParentAnElement&&documentElement&&setLeftRTLScrollbarOffset();const htmlOffset=documentElement&&!isOffsetParentAnElement&& -!isFixed?getHTMLOffset(documentElement,scroll):createCoords(0),x=rect.left+scroll.scrollLeft-offsets.x-htmlOffset.x,y=rect.top+scroll.scrollTop-offsets.y-htmlOffset.y;return{x,y,width:rect.width,height:rect.height}}function isStaticPositioned(element2){return getComputedStyle$1(element2).position==="static"}function getTrueOffsetParent(element2,polyfill){if(!isHTMLElement(element2)||getComputedStyle$1(element2).position==="fixed")return null;if(polyfill)return polyfill(element2);let rawOffsetParent=element2. -offsetParent;return getDocumentElement(element2)===rawOffsetParent&&(rawOffsetParent=rawOffsetParent.ownerDocument.body),rawOffsetParent}function getOffsetParent(element2,polyfill){const win=getWindow(element2);if(isTopLayer(element2))return win;if(!isHTMLElement(element2)){let svgOffsetParent=getParentNode(element2);for(;svgOffsetParent&&!isLastTraversableNode(svgOffsetParent);){if(isElement(svgOffsetParent)&&!isStaticPositioned(svgOffsetParent))return svgOffsetParent;svgOffsetParent=getParentNode( -svgOffsetParent)}return win}let offsetParent=getTrueOffsetParent(element2,polyfill);for(;offsetParent&&isTableElement(offsetParent)&&isStaticPositioned(offsetParent);)offsetParent=getTrueOffsetParent(offsetParent,polyfill);return offsetParent&&isLastTraversableNode(offsetParent)&&isStaticPositioned(offsetParent)&&!isContainingBlock(offsetParent)?win:offsetParent||getContainingBlock(element2)||win}const getElementRects=async function(data){const getOffsetParentFn=this.getOffsetParent||getOffsetParent, -getDimensionsFn=this.getDimensions,floatingDimensions=await getDimensionsFn(data.floating);return{reference:getRectRelativeToOffsetParent(data.reference,await getOffsetParentFn(data.floating),data.strategy),floating:{x:0,y:0,width:floatingDimensions.width,height:floatingDimensions.height}}};function isRTL(element2){return getComputedStyle$1(element2).direction==="rtl"}const platform={convertOffsetParentRelativeRectToViewportRelativeRect,getDocumentElement,getClippingRect,getOffsetParent,getElementRects, -getClientRects,getDimensions,getScale,isElement,isRTL};function rectsAreEqual(a,b){return a.x===b.x&&a.y===b.y&&a.width===b.width&&a.height===b.height}function observeMove(element2,onMove){let io=null,timeoutId;const root2=getDocumentElement(element2);function cleanup(){var _io;clearTimeout(timeoutId),(_io=io)==null||_io.disconnect(),io=null}function refresh(skip,threshold){skip===void 0&&(skip=!1),threshold===void 0&&(threshold=1),cleanup();const elementRectForRootMargin=element2.getBoundingClientRect(), -{left,top,width,height}=elementRectForRootMargin;if(skip||onMove(),!width||!height)return;const insetTop=floor(top),insetRight=floor(root2.clientWidth-(left+width)),insetBottom=floor(root2.clientHeight-(top+height)),insetLeft=floor(left),options={rootMargin:-insetTop+"px "+-insetRight+"px "+-insetBottom+"px "+-insetLeft+"px",threshold:max(0,min(1,threshold))||1};let isFirstUpdate=!0;function handleObserve(entries){const ratio=entries[0].intersectionRatio;if(ratio!==threshold){if(!isFirstUpdate)return refresh(); -ratio?refresh(!1,ratio):timeoutId=setTimeout(()=>{refresh(!1,1e-7)},1e3)}ratio===1&&!rectsAreEqual(elementRectForRootMargin,element2.getBoundingClientRect())&&refresh(),isFirstUpdate=!1}try{io=new IntersectionObserver(handleObserve,{...options,root:root2.ownerDocument})}catch{io=new IntersectionObserver(handleObserve,options)}io.observe(element2)}return refresh(!0),cleanup}function autoUpdate(reference,floating,update2,options){options===void 0&&(options={});const{ancestorScroll=!0,ancestorResize=!0, -elementResize=typeof ResizeObserver=="function",layoutShift=typeof IntersectionObserver=="function",animationFrame=!1}=options,referenceEl=unwrapElement(reference),ancestors=ancestorScroll||ancestorResize?[...referenceEl?getOverflowAncestors(referenceEl):[],...getOverflowAncestors(floating)]:[];ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.addEventListener("scroll",update2,{passive:!0}),ancestorResize&&ancestor.addEventListener("resize",update2)});const cleanupIo=referenceEl&&layoutShift? -observeMove(referenceEl,update2):null;let reobserveFrame=-1,resizeObserver=null;elementResize&&(resizeObserver=new ResizeObserver(_ref=>{let[firstEntry]=_ref;firstEntry&&firstEntry.target===referenceEl&&resizeObserver&&(resizeObserver.unobserve(floating),cancelAnimationFrame(reobserveFrame),reobserveFrame=requestAnimationFrame(()=>{var _resizeObserver;(_resizeObserver=resizeObserver)==null||_resizeObserver.observe(floating)})),update2()}),referenceEl&&!animationFrame&&resizeObserver.observe(referenceEl), -resizeObserver.observe(floating));let frameId,prevRefRect=animationFrame?getBoundingClientRect(reference):null;animationFrame&&frameLoop();function frameLoop(){const nextRefRect=getBoundingClientRect(reference);prevRefRect&&!rectsAreEqual(prevRefRect,nextRefRect)&&update2(),prevRefRect=nextRefRect,frameId=requestAnimationFrame(frameLoop)}return update2(),()=>{var _resizeObserver2;ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.removeEventListener("scroll",update2),ancestorResize&&ancestor. -removeEventListener("resize",update2)}),cleanupIo?.(),(_resizeObserver2=resizeObserver)==null||_resizeObserver2.disconnect(),resizeObserver=null,animationFrame&&cancelAnimationFrame(frameId)}}const offset=offset$1,shift=shift$1,flip=flip$1,size=size$1,hide=hide$1,arrow=arrow$1,limitShift=limitShift$1,computePosition=(reference,floating,options)=>{const cache2=new Map,mergedOptions={platform,...options},platformWithCache={...mergedOptions.platform,_c:cache2};return computePosition$1(reference,floating, -{...mergedOptions,platform:platformWithCache})};function get(valueOrGetValue){return typeof valueOrGetValue=="function"?valueOrGetValue():valueOrGetValue}function getDPR(element2){return typeof window>"u"?1:(element2.ownerDocument.defaultView||window).devicePixelRatio||1}function roundByDPR(element2,value){const dpr=getDPR(element2);return Math.round(value*dpr)/dpr}function getFloatingContentCSSVars(name){return{[`--bits-${name}-content-transform-origin`]:"var(--bits-floating-transform-origin)", -[`--bits-${name}-content-available-width`]:"var(--bits-floating-available-width)",[`--bits-${name}-content-available-height`]:"var(--bits-floating-available-height)",[`--bits-${name}-anchor-width`]:"var(--bits-floating-anchor-width)",[`--bits-${name}-anchor-height`]:"var(--bits-floating-anchor-height)"}}function useFloating(options){const whileElementsMountedOption=options.whileElementsMounted,openOption=user_derived(()=>get(options.open)??!0),middlewareOption=user_derived(()=>get(options.middleware)), -transformOption=user_derived(()=>get(options.transform)??!0),placementOption=user_derived(()=>get(options.placement)??"bottom"),strategyOption=user_derived(()=>get(options.strategy)??"absolute"),sideOffsetOption=user_derived(()=>get(options.sideOffset)??0),alignOffsetOption=user_derived(()=>get(options.alignOffset)??0),reference=options.reference;let x=state$1(0),y=state$1(0);const floating=simpleBox(null);let strategy=state$1(proxy(get$3(strategyOption))),placement=state$1(proxy(get$3(placementOption))), -middlewareData=state$1(proxy({})),isPositioned=state$1(!1),hasWhileMountedPosition=!1,updateRequestId=0;const floatingStyles=user_derived(()=>{const xVal=floating.current?roundByDPR(floating.current,get$3(x)):get$3(x),yVal=floating.current?roundByDPR(floating.current,get$3(y)):get$3(y);return get$3(transformOption)?{position:get$3(strategy),left:"0",top:"0",transform:`translate(${xVal}px, ${yVal}px)`,...floating.current&&getDPR(floating.current)>=1.5&&{willChange:"transform"}}:{position:get$3(strategy), -left:`${xVal}px`,top:`${yVal}px`}});let whileElementsMountedCleanup;function update2(){if(reference.current===null||floating.current===null)return;const referenceNode=reference.current,floatingNode=floating.current,requestId=++updateRequestId;computePosition(referenceNode,floatingNode,{middleware:get$3(middlewareOption),placement:get$3(placementOption),strategy:get$3(strategyOption)}).then(position2=>{if(requestId!==updateRequestId||reference.current!==referenceNode||floating.current!==floatingNode) -return;if(isReferenceHidden(referenceNode)){set$1(middlewareData,{...get$3(middlewareData),hide:{...get$3(middlewareData).hide,referenceHidden:!0}},!0);return}if(!get$3(openOption)&&get$3(x)!==0&&get$3(y)!==0){const maxExpectedOffset=Math.max(Math.abs(get$3(sideOffsetOption)),Math.abs(get$3(alignOffsetOption)),15);if(position2.x<=maxExpectedOffset&&position2.y<=maxExpectedOffset)return}set$1(x,position2.x,!0),set$1(y,position2.y,!0),set$1(strategy,position2.strategy,!0),set$1(placement,position2. -placement,!0),set$1(middlewareData,position2.middlewareData,!0),set$1(isPositioned,!0)})}function cleanup(){typeof whileElementsMountedCleanup=="function"&&(whileElementsMountedCleanup(),whileElementsMountedCleanup=void 0),updateRequestId++}function attach2(){if(cleanup(),whileElementsMountedOption===void 0){update2();return}get$3(openOption)&&(reference.current===null||floating.current===null||(whileElementsMountedCleanup=whileElementsMountedOption(reference.current,floating.current,update2)))} -function reset2(){!get$3(openOption)&&floating.current===null&&set$1(isPositioned,!1)}function trackWhileMountedDeps(){return[get$3(middlewareOption),get$3(placementOption),get$3(strategyOption),get$3(sideOffsetOption),get$3(alignOffsetOption),get$3(openOption)]}return user_effect(()=>{whileElementsMountedOption===void 0&&get$3(openOption)&&update2()}),user_effect(attach2),user_effect(()=>{if(whileElementsMountedOption!==void 0){if(trackWhileMountedDeps(),!get$3(openOption)){hasWhileMountedPosition= -!1;return}if(!get$3(isPositioned)){hasWhileMountedPosition=!1;return}if(!hasWhileMountedPosition){hasWhileMountedPosition=!0;return}update2()}}),user_effect(reset2),user_effect(()=>cleanup),{floating,reference,get strategy(){return get$3(strategy)},get placement(){return get$3(placement)},get middlewareData(){return get$3(middlewareData)},get isPositioned(){return get$3(isPositioned)},get floatingStyles(){return get$3(floatingStyles)},get update(){return update2}}}function isReferenceHidden(node2){ -return node2 instanceof Element?!node2.isConnected||node2 instanceof HTMLElement&&node2.hidden?!0:node2.getClientRects().length===0:!1}const OPPOSITE_SIDE={top:"bottom",right:"left",bottom:"top",left:"right"},FloatingRootContext=new Context$1("Floating.Root"),FloatingContentContext=new Context$1("Floating.Content"),FloatingTooltipRootContext=new Context$1("Floating.Root");class FloatingRootState{static create(tooltip=!1){return tooltip?FloatingTooltipRootContext.set(new FloatingRootState):FloatingRootContext. -set(new FloatingRootState)}anchorNode=simpleBox(null);customAnchorNode=simpleBox(null);triggerNode=simpleBox(null);constructor(){user_effect(()=>{this.customAnchorNode.current?typeof this.customAnchorNode.current=="string"?this.anchorNode.current=document.querySelector(this.customAnchorNode.current):this.anchorNode.current=this.customAnchorNode.current:this.anchorNode.current=this.triggerNode.current})}}class FloatingContentState{static create(opts,tooltip=!1){return tooltip?FloatingContentContext. -set(new FloatingContentState(opts,FloatingTooltipRootContext.get())):FloatingContentContext.set(new FloatingContentState(opts,FloatingRootContext.get()))}opts;root;contentRef=simpleBox(null);wrapperRef=simpleBox(null);arrowRef=simpleBox(null);contentAttachment=attachRef(this.contentRef);wrapperAttachment=attachRef(this.wrapperRef);arrowAttachment=attachRef(this.arrowRef);arrowId=simpleBox(useId());#transformedStyle=user_derived(()=>{if(typeof this.opts.style=="string")return cssToStyleObj(this.opts. -style);if(!this.opts.style)return{}});#updatePositionStrategy=void 0;#arrowSize=new ElementSize(()=>this.arrowRef.current??void 0);#arrowWidth=user_derived(()=>this.#arrowSize?.width??0);#arrowHeight=user_derived(()=>this.#arrowSize?.height??0);#desiredPlacement=user_derived(()=>this.opts.side?.current+(this.opts.align.current!=="center"?`-${this.opts.align.current}`:""));#boundary=user_derived(()=>Array.isArray(this.opts.collisionBoundary.current)?this.opts.collisionBoundary.current:[this.opts. -collisionBoundary.current]);#hasExplicitBoundaries=user_derived(()=>get$3(this.#boundary).length>0);get hasExplicitBoundaries(){return get$3(this.#hasExplicitBoundaries)}set hasExplicitBoundaries(value){set$1(this.#hasExplicitBoundaries,value)}#detectOverflowOptions=user_derived(()=>({padding:this.opts.collisionPadding.current,boundary:get$3(this.#boundary).filter(isNotNull),altBoundary:this.hasExplicitBoundaries}));get detectOverflowOptions(){return get$3(this.#detectOverflowOptions)}set detectOverflowOptions(value){ -set$1(this.#detectOverflowOptions,value)}#availableWidth=state$1(void 0);#availableHeight=state$1(void 0);#anchorWidth=state$1(void 0);#anchorHeight=state$1(void 0);#middleware=user_derived(()=>[offset({mainAxis:this.opts.sideOffset.current+get$3(this.#arrowHeight),alignmentAxis:this.opts.alignOffset.current}),this.opts.avoidCollisions.current&&shift({mainAxis:!0,crossAxis:!1,limiter:this.opts.sticky.current==="partial"?limitShift():void 0,...this.detectOverflowOptions}),this.opts.avoidCollisions. -current&&flip({...this.detectOverflowOptions}),size({...this.detectOverflowOptions,apply:({rects,availableWidth,availableHeight})=>{const{width:anchorWidth,height:anchorHeight}=rects.reference;set$1(this.#availableWidth,availableWidth,!0),set$1(this.#availableHeight,availableHeight,!0),set$1(this.#anchorWidth,anchorWidth,!0),set$1(this.#anchorHeight,anchorHeight,!0)}}),this.arrowRef.current&&arrow({element:this.arrowRef.current,padding:this.opts.arrowPadding.current}),transformOrigin({arrowWidth:get$3( -this.#arrowWidth),arrowHeight:get$3(this.#arrowHeight)}),this.opts.hideWhenDetached.current&&hide({strategy:"referenceHidden",...this.detectOverflowOptions})].filter(Boolean));get middleware(){return get$3(this.#middleware)}set middleware(value){set$1(this.#middleware,value)}floating;#placedSide=user_derived(()=>getSideFromPlacement(this.floating.placement));get placedSide(){return get$3(this.#placedSide)}set placedSide(value){set$1(this.#placedSide,value)}#placedAlign=user_derived(()=>getAlignFromPlacement( -this.floating.placement));get placedAlign(){return get$3(this.#placedAlign)}set placedAlign(value){set$1(this.#placedAlign,value)}#arrowX=user_derived(()=>this.floating.middlewareData.arrow?.x??0);get arrowX(){return get$3(this.#arrowX)}set arrowX(value){set$1(this.#arrowX,value)}#arrowY=user_derived(()=>this.floating.middlewareData.arrow?.y??0);get arrowY(){return get$3(this.#arrowY)}set arrowY(value){set$1(this.#arrowY,value)}#cannotCenterArrow=user_derived(()=>this.floating.middlewareData.arrow?. -centerOffset!==0);get cannotCenterArrow(){return get$3(this.#cannotCenterArrow)}set cannotCenterArrow(value){set$1(this.#cannotCenterArrow,value)}#contentZIndex=state$1();get contentZIndex(){return get$3(this.#contentZIndex)}set contentZIndex(value){set$1(this.#contentZIndex,value,!0)}#arrowBaseSide=user_derived(()=>OPPOSITE_SIDE[this.placedSide]);get arrowBaseSide(){return get$3(this.#arrowBaseSide)}set arrowBaseSide(value){set$1(this.#arrowBaseSide,value)}#wrapperProps=user_derived(()=>({id:this. -opts.wrapperId.current,"data-bits-floating-content-wrapper":"",style:{...this.floating.floatingStyles,transform:this.floating.isPositioned?this.floating.floatingStyles.transform:"translate(0, -200%)",minWidth:"max-content",zIndex:this.contentZIndex,"--bits-floating-transform-origin":`${this.floating.middlewareData.transformOrigin?.x} ${this.floating.middlewareData.transformOrigin?.y}`,"--bits-floating-available-width":`${get$3(this.#availableWidth)}px`,"--bits-floating-available-height":`${get$3( -this.#availableHeight)}px`,"--bits-floating-anchor-width":`${get$3(this.#anchorWidth)}px`,"--bits-floating-anchor-height":`${get$3(this.#anchorHeight)}px`,...this.floating.middlewareData.hide?.referenceHidden&&{visibility:"hidden","pointer-events":"none"},...get$3(this.#transformedStyle)},dir:this.opts.dir.current,...this.wrapperAttachment}));get wrapperProps(){return get$3(this.#wrapperProps)}set wrapperProps(value){set$1(this.#wrapperProps,value)}#props=user_derived(()=>({"data-side":this.placedSide, -"data-align":this.placedAlign,style:styleToString$1({...get$3(this.#transformedStyle)}),...this.contentAttachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}#arrowStyle=user_derived(()=>({position:"absolute",left:this.arrowX?`${this.arrowX}px`:void 0,top:this.arrowY?`${this.arrowY}px`:void 0,[this.arrowBaseSide]:0,"transform-origin":{top:"",right:"0 0",bottom:"center 0",left:"100% 0"}[this.placedSide],transform:{top:"translateY(100%)",right:"translateY(50%\ -) rotate(90deg) translateX(-50%)",bottom:"rotate(180deg)",left:"translateY(50%) rotate(-90deg) translateX(50%)"}[this.placedSide],visibility:this.cannotCenterArrow?"hidden":void 0}));get arrowStyle(){return get$3(this.#arrowStyle)}set arrowStyle(value){set$1(this.#arrowStyle,value)}constructor(opts,root2){this.opts=opts,this.root=root2,this.#updatePositionStrategy=opts.updatePositionStrategy,opts.customAnchor&&(this.root.customAnchorNode.current=opts.customAnchor.current),watch$1(()=>opts.customAnchor. -current,customAnchor=>{this.root.customAnchorNode.current=customAnchor}),this.floating=useFloating({strategy:()=>this.opts.strategy.current,placement:()=>get$3(this.#desiredPlacement),middleware:()=>this.middleware,reference:this.root.anchorNode,whileElementsMounted:(...args)=>autoUpdate(...args,{animationFrame:this.#updatePositionStrategy?.current==="always"}),open:()=>this.opts.enabled.current,sideOffset:()=>this.opts.sideOffset.current,alignOffset:()=>this.opts.alignOffset.current}),user_effect( -()=>{this.floating.isPositioned&&this.opts.onPlaced?.current()}),watch$1(()=>this.contentRef.current,contentNode=>{if(!contentNode||!this.opts.enabled.current)return;const win=getWindow$1(contentNode),rafId=win.requestAnimationFrame(()=>{if(this.contentRef.current!==contentNode||!this.opts.enabled.current)return;const zIndex=win.getComputedStyle(contentNode).zIndex;zIndex!==this.contentZIndex&&(this.contentZIndex=zIndex)});return()=>{win.cancelAnimationFrame(rafId)}}),user_effect(()=>{this.floating. -floating.current=this.wrapperRef.current})}}class FloatingArrowState{static create(opts){return new FloatingArrowState(opts,FloatingContentContext.get())}opts;content;constructor(opts,content2){this.opts=opts,this.content=content2}#props=user_derived(()=>({id:this.opts.id.current,style:this.content.arrowStyle,"data-side":this.content.placedSide,...this.content.arrowAttachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class FloatingAnchorState{static create(opts,tooltip=!1){ -return tooltip?new FloatingAnchorState(opts,FloatingTooltipRootContext.get()):new FloatingAnchorState(opts,FloatingRootContext.get())}opts;root;constructor(opts,root2){this.opts=opts,this.root=root2,opts.virtualEl&&opts.virtualEl.current?root2.triggerNode=boxFrom$1(opts.virtualEl.current):root2.triggerNode=opts.ref}}function transformOrigin(options){return{name:"transformOrigin",options,fn(data){const{placement,rects,middlewareData}=data,isArrowHidden=middlewareData.arrow?.centerOffset!==0,arrowWidth=isArrowHidden? -0:options.arrowWidth,arrowHeight=isArrowHidden?0:options.arrowHeight,[placedSide,placedAlign]=getSideAndAlignFromPlacement(placement),noArrowAlign={start:"0%",center:"50%",end:"100%"}[placedAlign],arrowXCenter=(middlewareData.arrow?.x??0)+arrowWidth/2,arrowYCenter=(middlewareData.arrow?.y??0)+arrowHeight/2;let x="",y="";return placedSide==="bottom"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${-arrowHeight}px`):placedSide==="top"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${rects. -floating.height+arrowHeight}px`):placedSide==="right"?(x=`${-arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`):placedSide==="left"&&(x=`${rects.floating.width+arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`),{data:{x,y}}}}}function getSideAndAlignFromPlacement(placement){const[side,align="center"]=placement.split("-");return[side,align]}function getSideFromPlacement(placement){return getSideAndAlignFromPlacement(placement)[0]}function getAlignFromPlacement(placement){ -return getSideAndAlignFromPlacement(placement)[1]}function Floating_layer($$anchor,$$props){push$1($$props,!0);let tooltip=prop($$props,"tooltip",3,!1);FloatingRootState.create(tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}class DataTypeahead{#opts;#candidateValues=user_derived(()=>this.#opts.candidateValues());#search;constructor(opts){this.#opts=opts,this.#search=boxAutoReset("",{afterMs:1e3,getWindow:this.#opts. -getWindow}),this.handleTypeaheadSearch=this.handleTypeaheadSearch.bind(this),this.resetTypeahead=this.resetTypeahead.bind(this)}handleTypeaheadSearch(key2){if(!this.#opts.enabled()||!get$3(this.#candidateValues).length)return;this.#search.current=this.#search.current+key2;const currentItem=this.#opts.getCurrentItem(),currentMatch=get$3(this.#candidateValues).find(item=>item===currentItem)??"",values=get$3(this.#candidateValues).map(item=>item??""),nextMatch=getNextMatch(values,this.#search.current, -currentMatch),newItem=get$3(this.#candidateValues).find(item=>item===nextMatch);return newItem&&this.#opts.onMatch(newItem),newItem}resetTypeahead(){this.#search.current=""}}const FIRST_KEYS=[ARROW_DOWN,PAGE_UP,HOME],LAST_KEYS=[ARROW_UP,PAGE_DOWN,END],FIRST_LAST_KEYS=[...FIRST_KEYS,...LAST_KEYS],selectAttrs=createBitsAttrs({component:"select",parts:["trigger","content","item","viewport","scroll-up-button","scroll-down-button","group","group-label","separator","arrow","input","content-wrapper","i\ -tem-text","value"]}),SelectRootContext=new Context$1("Select.Root | Combobox.Root"),SelectContentContext=new Context$1("Select.Content | Combobox.Content");class SelectBaseRootState{opts;#touchedInput=state$1(!1);get touchedInput(){return get$3(this.#touchedInput)}set touchedInput(value){set$1(this.#touchedInput,value,!0)}#inputNode=state$1(null);get inputNode(){return get$3(this.#inputNode)}set inputNode(value){set$1(this.#inputNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$3( -this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#viewportNode=state$1(null);get viewportNode(){return get$3(this.#viewportNode)}set viewportNode(value){set$1(this.#viewportNode,value,!0)}#triggerNode=state$1(null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#valueId=state$1("");get valueId(){return get$3(this.#valueId)}set valueId(value){set$1(this.#valueId,value,!0)}#highlightedNode=state$1( -null);get highlightedNode(){return get$3(this.#highlightedNode)}set highlightedNode(value){set$1(this.#highlightedNode,value,!0)}#highlightedValue=user_derived(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-value"):null);get highlightedValue(){return get$3(this.#highlightedValue)}set highlightedValue(value){set$1(this.#highlightedValue,value)}#highlightedId=user_derived(()=>{if(this.highlightedNode)return this.highlightedNode.id});get highlightedId(){return get$3(this.#highlightedId)}set highlightedId(value){ -set$1(this.#highlightedId,value)}#highlightedLabel=user_derived(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-label"):null);get highlightedLabel(){return get$3(this.#highlightedLabel)}set highlightedLabel(value){set$1(this.#highlightedLabel,value)}#contentIsPositioned=state$1(!1);get contentIsPositioned(){return get$3(this.#contentIsPositioned)}set contentIsPositioned(value){set$1(this.#contentIsPositioned,value,!0)}isUsingKeyboard=!1;isCombobox=!1;domContext=new DOMContext(()=>null);constructor(opts){ -this.opts=opts,this.isCombobox=opts.isCombobox,this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),user_pre_effect(()=>{this.opts.open.current||this.setHighlightedNode(null)})}setHighlightedNode(node2,initial=!1){this.highlightedNode=node2,node2&&(this.isUsingKeyboard||initial)&&this.scrollHighlightedNodeIntoView(node2)}scrollHighlightedNodeIntoView(node2){!this.viewportNode|| -!this.contentIsPositioned||node2.scrollIntoView({block:this.opts.scrollAlignment.current})}getCandidateNodes(){const node2=this.contentNode;return node2?Array.from(node2.querySelectorAll(`[${this.getBitsAttr("item")}]:not([data-disabled])`)):[]}setHighlightedToFirstCandidate(initial=!1){this.setHighlightedNode(null);let nodes2=this.getCandidateNodes();if(nodes2.length){if(this.viewportNode){const viewportRect=this.viewportNode.getBoundingClientRect();nodes2=nodes2.filter(node2=>{if(!this.viewportNode) -return!1;const nodeRect=node2.getBoundingClientRect();return nodeRect.right<=viewportRect.right&&nodeRect.left>=viewportRect.left&&nodeRect.bottom<=viewportRect.bottom&&nodeRect.top>=viewportRect.top})}this.setHighlightedNode(nodes2[0],initial)}}getNodeByValue(value){return this.getCandidateNodes().find(node2=>node2.dataset.value===value)??null}setOpen(open2){this.opts.open.current=open2}toggleOpen(){this.opts.open.current=!this.opts.open.current}handleOpen(){this.setOpen(!0)}handleClose(){this. -setHighlightedNode(null),this.setOpen(!1)}toggleMenu(){this.toggleOpen()}getBitsAttr=part=>selectAttrs.getAttr(part,this.isCombobox?"combobox":void 0)}class SelectSingleRootState extends SelectBaseRootState{opts;isMulti=!1;#hasValue=user_derived(()=>this.opts.value.current!=="");get hasValue(){return get$3(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,value)}#currentLabel=user_derived(()=>this.opts.items.current.length?this.opts.items.current.find(item=>item.value===this.opts.value.current)?. -label??"":"");get currentLabel(){return get$3(this.#currentLabel)}set currentLabel(value){set$1(this.#currentLabel,value)}#candidateLabels=user_derived(()=>this.opts.items.current.length?this.opts.items.current.filter(item=>!item.disabled).map(item=>item.label):[]);get candidateLabels(){return get$3(this.#candidateLabels)}set candidateLabels(value){set$1(this.#candidateLabels,value)}#dataTypeaheadEnabled=user_derived(()=>!(this.isMulti||this.opts.items.current.length===0));get dataTypeaheadEnabled(){ -return get$3(this.#dataTypeaheadEnabled)}set dataTypeaheadEnabled(value){set$1(this.#dataTypeaheadEnabled,value)}constructor(opts){super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current===itemValue}toggleItem(itemValue,itemLabel=itemValue){const newValue=this.includesItem(itemValue)? -"":itemValue;this.opts.value.current=newValue,newValue!==""&&(this.opts.inputValue.current=itemLabel)}setInitialHighlightedNode(){afterTick(()=>{if(!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current!==""){const node2=this.getNodeByValue(this.opts.value.current);if(node2){this.setHighlightedNode(node2,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class SelectMultipleRootState extends SelectBaseRootState{opts;isMulti=!0;#hasValue=user_derived( -()=>this.opts.value.current.length>0);get hasValue(){return get$3(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,value)}constructor(opts){super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current.includes(itemValue)}toggleItem(itemValue,itemLabel=itemValue){this.includesItem( -itemValue)?this.opts.value.current=this.opts.value.current.filter(v=>v!==itemValue):this.opts.value.current=[...this.opts.value.current,itemValue],this.opts.inputValue.current=itemLabel}setInitialHighlightedNode(){afterTick(()=>{if(this.domContext&&!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current.length&&this.opts.value.current[0]!==""){const node2=this.getNodeByValue(this.opts.value.current[0]);if(node2){this.setHighlightedNode(node2, -!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class SelectRootState{static create(props){const{type:type2,...rest}=props,rootState=type2==="single"?new SelectSingleRootState(rest):new SelectMultipleRootState(rest);return SelectRootContext.set(rootState)}}class SelectTriggerState{static create(opts){return new SelectTriggerState(opts,SelectRootContext.get())}opts;root;attachment;#domTypeahead;#dataTypeahead;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef( -opts.ref,v=>this.root.triggerNode=v),this.root.domContext=new DOMContext(opts.ref),this.#domTypeahead=new DOMTypeahead({getCurrentItem:()=>this.root.highlightedNode,onMatch:node2=>{this.root.setHighlightedNode(node2)},getActiveElement:()=>this.root.domContext.getActiveElement(),getWindow:()=>this.root.domContext.getWindow()}),this.#dataTypeahead=new DataTypeahead({getCurrentItem:()=>this.root.isMulti?"":this.root.currentLabel,onMatch:label=>{if(this.root.isMulti||!this.root.opts.items.current)return; -const matchedItem=this.root.opts.items.current.find(item=>item.label===label);matchedItem&&(this.root.opts.value.current=matchedItem.value)},enabled:()=>!this.root.isMulti&&this.root.dataTypeaheadEnabled,candidateValues:()=>this.root.isMulti?[]:this.root.candidateLabels,getWindow:()=>this.root.domContext.getWindow()}),this.onkeydown=this.onkeydown.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onclick=this.onclick.bind(this)}#handleOpen(){ -this.root.opts.open.current=!0,this.#dataTypeahead.resetTypeahead(),this.#domTypeahead.resetTypeahead()}#handlePointerOpen(_){this.#handleOpen()}#handleKeyboardSelection(){const isCurrentSelectedValue=this.root.highlightedValue===this.root.opts.value.current;return!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti?(this.root.handleClose(),!0):(this.root.highlightedValue!==null&&this.root.toggleItem(this.root.highlightedValue,this.root.highlightedLabel??void 0),!this. -root.isMulti&&!isCurrentSelectedValue?(this.root.handleClose(),!0):!1)}onkeydown(e){if(this.root.isUsingKeyboard=!0,(e.key===ARROW_UP||e.key===ARROW_DOWN)&&e.preventDefault(),!this.root.opts.open.current){if(e.key===ENTER||e.key===SPACE||e.key===ARROW_DOWN||e.key===ARROW_UP)e.preventDefault(),this.root.handleOpen();else if(!this.root.isMulti&&this.root.dataTypeaheadEnabled){this.#dataTypeahead.handleTypeaheadSearch(e.key);return}if(this.root.hasValue)return;const candidateNodes2=this.root.getCandidateNodes(); -if(!candidateNodes2.length)return;if(e.key===ARROW_DOWN){const firstCandidate=candidateNodes2[0];this.root.setHighlightedNode(firstCandidate)}else if(e.key===ARROW_UP){const lastCandidate=candidateNodes2[candidateNodes2.length-1];this.root.setHighlightedNode(lastCandidate)}return}if(e.key===TAB){this.root.handleClose();return}if((e.key===ENTER||e.key===SPACE&&this.#domTypeahead.search==="")&&!e.isComposing&&(e.preventDefault(),this.#handleKeyboardSelection()))return;if(e.key===ARROW_UP&&e.altKey&& -this.root.handleClose(),FIRST_LAST_KEYS.includes(e.key)){e.preventDefault();const candidateNodes2=this.root.getCandidateNodes(),currHighlightedNode=this.root.highlightedNode,currIndex=currHighlightedNode?candidateNodes2.indexOf(currHighlightedNode):-1,loop2=this.root.opts.loop.current;let nextItem;if(e.key===ARROW_DOWN?nextItem=next(candidateNodes2,currIndex,loop2):e.key===ARROW_UP?nextItem=prev(candidateNodes2,currIndex,loop2):e.key===PAGE_DOWN?nextItem=forward(candidateNodes2,currIndex,10,loop2): -e.key===PAGE_UP?nextItem=backward(candidateNodes2,currIndex,10,loop2):e.key===HOME?nextItem=candidateNodes2[0]:e.key===END&&(nextItem=candidateNodes2[candidateNodes2.length-1]),!nextItem)return;this.root.setHighlightedNode(nextItem);return}const isModifierKey=e.ctrlKey||e.altKey||e.metaKey,isCharacterKey=e.key.length===1,isSpaceKey=e.key===SPACE,candidateNodes=this.root.getCandidateNodes();if(e.key!==TAB){if(!isModifierKey&&(isCharacterKey||isSpaceKey)){!this.#domTypeahead.handleTypeaheadSearch( -e.key,candidateNodes)&&isSpaceKey&&(e.preventDefault(),this.#handleKeyboardSelection());return}this.root.highlightedNode||this.root.setHighlightedToFirstCandidate()}}onclick(e){e.currentTarget.focus()}onpointerdown(e){if(this.root.opts.disabled.current)return;if(e.pointerType==="touch")return e.preventDefault();const target2=e.target;target2?.hasPointerCapture(e.pointerId)&&target2?.releasePointerCapture(e.pointerId),e.button===0&&e.ctrlKey===!1&&(this.root.opts.open.current===!1?this.#handlePointerOpen( -e):this.root.handleClose())}onpointerup(e){this.root.opts.disabled.current||(e.preventDefault(),e.pointerType==="touch"&&(this.root.opts.open.current===!1?this.#handlePointerOpen(e):this.root.handleClose()))}#props=user_derived(()=>({id:this.opts.id.current,disabled:this.root.opts.disabled.current?!0:void 0,"aria-haspopup":"listbox","aria-expanded":boolToStr(this.root.opts.open.current),"aria-activedescendant":this.root.highlightedId,"data-state":getDataOpenClosed(this.root.opts.open.current),"d\ -ata-disabled":boolToEmptyStrOrUndef(this.root.opts.disabled.current),"data-placeholder":this.root.hasValue?void 0:"",[this.root.getBitsAttr("trigger")]:"",onpointerdown:this.onpointerdown,onkeydown:this.onkeydown,onclick:this.onclick,onpointerup:this.onpointerup,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectContentState{static create(opts){return SelectContentContext.set(new SelectContentState(opts,SelectRootContext.get()))}opts;root;attachment;#isPositioned=state$1( -!1);get isPositioned(){return get$3(this.#isPositioned)}set isPositioned(value){set$1(this.#isPositioned,value,!0)}domContext;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.contentNode=v),this.domContext=new DOMContext(this.opts.ref),this.root.domContext===null&&(this.root.domContext=this.domContext),onDestroyEffect(()=>{this.root.contentNode=null,this.root.contentIsPositioned=!1,this.isPositioned=!1}),watch$1(()=>this.root.opts.open.current, -()=>{this.root.opts.open.current||(this.root.contentIsPositioned=!1,this.isPositioned=!1)}),watch$1([()=>this.isPositioned,()=>this.root.highlightedNode],()=>{!this.isPositioned||!this.root.highlightedNode||this.root.scrollHighlightedNodeIntoView(this.root.highlightedNode)}),this.onpointermove=this.onpointermove.bind(this)}onpointermove(_){this.root.isUsingKeyboard=!1}#styles=user_derived(()=>getFloatingContentCSSVars(this.root.isCombobox?"combobox":"select"));onInteractOutside=e=>{if(e.target=== -this.root.triggerNode||e.target===this.root.inputNode){e.preventDefault();return}this.opts.onInteractOutside.current(e),!e.defaultPrevented&&this.root.handleClose()};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&this.root.handleClose()};onOpenAutoFocus=e=>{e.preventDefault()};onCloseAutoFocus=e=>{e.preventDefault()};get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){ -return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"listbox","aria-multiselectable":this.root.isMulti?"true":void 0,"data-state":getDataOpenClosed(this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),[this.root.getBitsAttr("content")]:"",style:{display:"flex",flexDirection:"column",outline:"none",boxSizing:"border-box",pointerEvents:"auto",...get$3(this.#styles)}, -onpointermove:this.onpointermove,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown,onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus,trapFocus:!1,loop:!1,onPlaced:()=>{this.root.opts.open.current&&(this.root.contentIsPositioned=!0,this.isPositioned=!0)}}}class SelectItemState{static create(opts){return new SelectItemState(opts,SelectRootContext. -get())}opts;root;attachment;#isSelected=user_derived(()=>this.root.includesItem(this.opts.value.current));get isSelected(){return get$3(this.#isSelected)}set isSelected(value){set$1(this.#isSelected,value)}#isHighlighted=user_derived(()=>this.root.highlightedValue===this.opts.value.current);get isHighlighted(){return get$3(this.#isHighlighted)}set isHighlighted(value){set$1(this.#isHighlighted,value)}prevHighlighted=new Previous(()=>this.isHighlighted);#mounted=state$1(!1);get mounted(){return get$3( -this.#mounted)}set mounted(value){set$1(this.#mounted,value,!0)}constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref),watch$1([()=>this.isHighlighted,()=>this.prevHighlighted.current],()=>{this.isHighlighted?this.opts.onHighlight.current():this.prevHighlighted.current&&this.opts.onUnhighlight.current()}),watch$1(()=>this.mounted,()=>{this.mounted&&this.root.setInitialHighlightedNode()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup. -bind(this),this.onpointermove=this.onpointermove.bind(this)}handleSelect(){if(this.opts.disabled.current)return;const isCurrentSelectedValue=this.opts.value.current===this.root.opts.value.current;if(!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti){this.root.handleClose();return}this.root.toggleItem(this.opts.value.current,this.opts.label.current),!this.root.isMulti&&!isCurrentSelectedValue&&this.root.handleClose()}#snippetProps=user_derived(()=>({selected:this.isSelected, -highlighted:this.isHighlighted}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}onpointerdown(e){e.preventDefault()}onpointerup(e){if(!(e.defaultPrevented||!this.opts.ref.current)){if(e.pointerType==="touch"&&!isIOS){on(this.opts.ref.current,"click",()=>{this.handleSelect(),this.root.setHighlightedNode(this.opts.ref.current)},{once:!0});return}e.preventDefault(),this.handleSelect(),e.pointerType==="touch"&&this.root.setHighlightedNode( -this.opts.ref.current)}}onpointermove(e){e.pointerType!=="touch"&&this.root.highlightedNode!==this.opts.ref.current&&this.root.setHighlightedNode(this.opts.ref.current)}#props=user_derived(()=>({id:this.opts.id.current,role:"option","aria-selected":this.root.includesItem(this.opts.value.current)?"true":void 0,"data-value":this.opts.value.current,"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":this.root.highlightedValue===this.opts.value.current&&!this.opts.disabled. -current?"":void 0,"data-selected":this.root.includesItem(this.opts.value.current)?"":void 0,"data-label":this.opts.label.current,[this.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectHiddenInputState{static create(opts){return new SelectHiddenInputState(opts,SelectRootContext.get())}opts;root;#shouldRender=user_derived( -()=>this.root.opts.name.current!=="");get shouldRender(){return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(opts,root2){this.opts=opts,this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(e){e.preventDefault(),this.root.isCombobox?this.root.inputNode?.focus():this.root.triggerNode?.focus()}#props=user_derived(()=>({disabled:boolToTrueOrUndef(this.root.opts.disabled.current),required:boolToTrueOrUndef(this.root.opts.required.current),name:this. -root.opts.name.current,value:this.opts.value.current,onfocus:this.onfocus}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectViewportState{static create(opts){return new SelectViewportState(opts,SelectContentContext.get())}opts;content;root;attachment;#prevScrollTop=state$1(0);get prevScrollTop(){return get$3(this.#prevScrollTop)}set prevScrollTop(value){set$1(this.#prevScrollTop,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2, -this.root=content2.root,this.attachment=attachRef(opts.ref,v=>{this.root.viewportNode=v})}#props=user_derived(()=>({id:this.opts.id.current,role:"presentation",[this.root.getBitsAttr("viewport")]:"",style:{position:"relative",flex:1,overflow:"auto"},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollButtonImplState{opts;content;root;attachment;autoScrollTimer=null;userScrollTimer=-1;isUserScrolling=!1;onAutoScroll=noop$1;#mounted=state$1( -!1);get mounted(){return get$3(this.#mounted)}set mounted(value){set$1(this.#mounted,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2,this.root=content2.root,this.attachment=attachRef(opts.ref),watch$1([()=>this.mounted],()=>{if(!this.mounted){this.isUserScrolling=!1;return}this.isUserScrolling}),user_effect(()=>{this.mounted||this.clearAutoScrollInterval()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave= -this.onpointerleave.bind(this)}handleUserScroll(){this.content.domContext.clearTimeout(this.userScrollTimer),this.isUserScrolling=!0,this.userScrollTimer=this.content.domContext.setTimeout(()=>{this.isUserScrolling=!1},200)}clearAutoScrollInterval(){this.autoScrollTimer!==null&&(this.content.domContext.clearTimeout(this.autoScrollTimer),this.autoScrollTimer=null)}onpointerdown(_){if(this.autoScrollTimer!==null)return;const autoScroll=tick2=>{this.onAutoScroll(),this.autoScrollTimer=this.content. -domContext.setTimeout(()=>autoScroll(tick2+1),this.opts.delay.current(tick2))};this.autoScrollTimer=this.content.domContext.setTimeout(()=>autoScroll(1),this.opts.delay.current(0))}onpointermove(e){this.onpointerdown(e)}onpointerleave(_){this.clearAutoScrollInterval()}#props=user_derived(()=>({id:this.opts.id.current,"aria-hidden":boolToStrTrueOrUndef(!0),style:{flexShrink:0},onpointerdown:this.onpointerdown,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,...this.attachment}));get props(){ -return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollDownButtonState{static create(opts){return new SelectScrollDownButtonState(new SelectScrollButtonImplState(opts,SelectContentContext.get()))}scrollButtonState;content;root;#canScrollDown=state$1(!1);get canScrollDown(){return get$3(this.#canScrollDown)}set canScrollDown(value){set$1(this.#canScrollDown,value,!0)}scrollIntoViewTimer=null;constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this. -content=scrollButtonState.content,this.root=scrollButtonState.root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,watch$1([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())}),watch$1([()=>this.root.opts.inputValue.current,()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{!this.root.viewportNode||!this.content.isPositioned|| -this.handleScroll(!0)}),watch$1(()=>this.scrollButtonState.mounted,()=>{this.scrollButtonState.mounted&&(this.scrollIntoViewTimer&&clearTimeout(this.scrollIntoViewTimer),this.scrollIntoViewTimer=afterSleep(5,()=>{const activeItem=this.root.highlightedNode;activeItem&&this.root.scrollHighlightedNodeIntoView(activeItem)}))})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const maxScroll=this.root.viewportNode.scrollHeight-this.root.viewportNode. -clientHeight,paddingTop=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollDown=Math.ceil(this.root.viewportNode.scrollTop){const viewport=this.root.viewportNode,selectedItem=this.root.highlightedNode;!viewport||!selectedItem||(viewport.scrollTop=viewport.scrollTop+selectedItem.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-down-button")]:""}));get props(){return get$3( -this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollUpButtonState{static create(opts){return new SelectScrollUpButtonState(new SelectScrollButtonImplState(opts,SelectContentContext.get()))}scrollButtonState;content;root;#canScrollUp=state$1(!1);get canScrollUp(){return get$3(this.#canScrollUp)}set canScrollUp(value){set$1(this.#canScrollUp,value,!0)}constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this.content=scrollButtonState.content,this.root=scrollButtonState. -root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,watch$1([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const paddingTop=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollUp= -this.root.viewportNode.scrollTop-paddingTop>.1};handleAutoScroll=()=>{!this.root.viewportNode||!this.root.highlightedNode||(this.root.viewportNode.scrollTop=this.root.viewportNode.scrollTop-this.root.highlightedNode.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-up-button")]:""}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function Select_hidden_input($$anchor,$$props){push$1($$props,!0);let value=prop( -$$props,"value",15);const hiddenInputState=SelectHiddenInputState.create({value:boxWith$1(()=>value())});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>hiddenInputState.props,{get autocomplete(){return $$props.autocomplete},get value(){return value()},set value($$value){value($$value)}}))};if_block(node2,$$render=>{hiddenInputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}function Floating_layer_anchor($$anchor,$$props){ -push$1($$props,!0);let tooltip=prop($$props,"tooltip",3,!1);FloatingAnchorState.create({id:boxWith$1(()=>$$props.id),virtualEl:boxWith$1(()=>$$props.virtualEl),ref:$$props.ref},tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_4$H=from_svg(''),root_2$1v=from_html("<\ -span>");function Arrow($$anchor,$$props){push$1($$props,!0);let id2=prop($$props,"id",19,useId),width=prop($$props,"width",3,10),height=prop($$props,"height",3,5),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","width","height"]);const mergedProps=user_derived(()=>mergeProps(restProps,{id:id2()}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1, -()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{var span=root_2$1v();attribute_effect(span,()=>({...get$3(mergedProps)}));var node_2=child(span);{var consequent_1=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var svg2=root_4$H();template_effect(()=>{set_attribute(svg2,"width",width()),set_attribute(svg2,"height",height())}), -append($$anchor3,svg2)};if_block(node_2,$$render=>{$$props.children?$$render(consequent_1):$$render(alternate,-1)})}reset(span),append($$anchor2,span)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}function Floating_layer_arrow($$anchor,$$props){push$1($$props,!0);let id2=prop($$props,"id",19,useId),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref"]);const arrowState=FloatingArrowState. -create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,arrowState.props));Arrow($$anchor,spread_props(()=>get$3(mergedProps))),pop()}function Floating_layer_content($$anchor,$$props){push$1($$props,!0);let side=prop($$props,"side",3,"bottom"),sideOffset=prop($$props,"sideOffset",3,0),align=prop($$props,"align",3,"center"),alignOffset=prop($$props,"alignOffset",3,0),arrowPadding=prop($$props,"arrowPadding",3,0),avoidCollisions=prop( -$$props,"avoidCollisions",3,!0),collisionBoundary=prop($$props,"collisionBoundary",19,()=>[]),collisionPadding=prop($$props,"collisionPadding",3,0),hideWhenDetached=prop($$props,"hideWhenDetached",3,!1),onPlaced=prop($$props,"onPlaced",3,()=>{}),sticky=prop($$props,"sticky",3,"partial"),updatePositionStrategy=prop($$props,"updatePositionStrategy",3,"optimized"),strategy=prop($$props,"strategy",3,"fixed"),dir=prop($$props,"dir",3,"ltr"),style2=prop($$props,"style",19,()=>({})),wrapperId=prop($$props, -"wrapperId",19,useId),customAnchor=prop($$props,"customAnchor",3,null),tooltip=prop($$props,"tooltip",3,!1);const contentState=FloatingContentState.create({side:boxWith$1(()=>side()),sideOffset:boxWith$1(()=>sideOffset()),align:boxWith$1(()=>align()),alignOffset:boxWith$1(()=>alignOffset()),id:boxWith$1(()=>$$props.id),arrowPadding:boxWith$1(()=>arrowPadding()),avoidCollisions:boxWith$1(()=>avoidCollisions()),collisionBoundary:boxWith$1(()=>collisionBoundary()),collisionPadding:boxWith$1(()=>collisionPadding()), -hideWhenDetached:boxWith$1(()=>hideWhenDetached()),onPlaced:boxWith$1(()=>onPlaced()),sticky:boxWith$1(()=>sticky()),updatePositionStrategy:boxWith$1(()=>updatePositionStrategy()),strategy:boxWith$1(()=>strategy()),dir:boxWith$1(()=>dir()),style:boxWith$1(()=>style2()),enabled:boxWith$1(()=>$$props.enabled),wrapperId:boxWith$1(()=>wrapperId()),customAnchor:boxWith$1(()=>customAnchor())},tooltip()),mergedProps=user_derived(()=>mergeProps(contentState.wrapperProps,{style:{pointerEvents:"auto"}})); -var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.content??noop$3,()=>({props:contentState.props,wrapperProps:get$3(mergedProps)})),append($$anchor,fragment),pop()}function Floating_layer_content_static($$anchor,$$props){push$1($$props,!0),onMount$1(()=>{$$props.onPlaced?.()});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.content??noop$3,()=>({props:{},wrapperProps:{}})),append($$anchor,fragment),pop()}function Popper_content($$anchor,$$props){ -let isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","content","isStatic","onPlaced"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Floating_layer_content_static($$anchor2,{get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}})},alternate=$$anchor2=>{Floating_layer_content($$anchor2,spread_props({get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}},()=>restProps))}; -if_block(node2,$$render=>{isStatic()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment)}var root_1$15=from_html(" ",1);function Popper_layer_inner($$anchor,$$props){push$1($$props,!0);let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),tooltip=prop($$props,"tooltip", -3,!1),contentPointerEvents=prop($$props,"contentPointerEvents",3,"auto"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutsid\ -e","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled","ref","tooltip","contentPointerEvents"]);const resolvedPreventScroll=user_derived(()=>$$props.preventScroll??!0),effectiveStrategy=user_derived(()=>$$props.strategy??(get$3(resolvedPreventScroll)?"fixed":"absolute"));Popper_content($$anchor,{get isStatic(){return isStatic()},get id(){return $$props.id},get side(){return $$props.side},get sideOffset(){ -return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return get$3( -effectiveStrategy)},get dir(){return $$props.dir},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get enabled(){return $$props.enabled},get tooltip(){return tooltip()},content:($$anchor2,$$arg0)=>{let floatingProps=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;var fragment_1=root_1$15(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{Scroll_lock($$anchor3,{get preventScroll(){ -return get$3(resolvedPreventScroll)}})},consequent_1=$$anchor3=>{Scroll_lock($$anchor3,{get preventScroll(){return get$3(resolvedPreventScroll)}})};if_block(node2,$$render=>{$$props.forceMount&&$$props.enabled?$$render(consequent):$$props.forceMount||$$render(consequent_1,1)})}var node_1=sibling(node2,2);Focus_scope(node_1,{get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get loop(){return $$props.loop},get enabled(){return $$props.enabled}, -get trapFocus(){return trapFocus()},get forceMount(){return $$props.forceMount},get ref(){return $$props.ref},focusScope:($$anchor3,$$arg02)=>{let focusScopeProps=()=>$$arg02?.().props;Escape_layer($$anchor3,{get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,{get id(){return $$props.id},get onInteractOutside(){ -return $$props.onInteractOutside},get onFocusOutside(){return $$props.onFocusOutside},get interactOutsideBehavior(){return interactOutsideBehavior()},get isValidEvent(){return isValidEvent2()},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor5,$$arg03)=>{let dismissibleProps=()=>$$arg03?.().props;Text_selection_layer($$anchor5,{get id(){return $$props.id},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get onPointerDown(){return $$props. -onPointerDown},get onPointerUp(){return $$props.onPointerUp},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor6,$$slotProps2)=>{var fragment_7=comment$2(),node_2=first_child(fragment_7);{let $0=user_derived(()=>({props:mergeProps(restProps,floatingProps(),dismissibleProps(),focusScopeProps(),{style:{pointerEvents:contentPointerEvents()}}),wrapperProps:wrapperProps()}));snippet(node_2,()=>$$props.popper??noop$3,()=>get$3($0))}append($$anchor6,fragment_7)},$$slots:{ -default:!0}})},$$slots:{default:!0}})},$$slots:{default:!0}})},$$slots:{focusScope:!0}}),append($$anchor2,fragment_1)},$$slots:{content:!0}}),pop()}function Popper_layer($$anchor,$$props){let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$\ -$legacy","popper","open","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","c\ -ustomAnchor","isStatic","ref","shouldRender"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Popper_layer_inner($$anchor2,spread_props({get popper(){return $$props.popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){ +"sub-trigger"))||this.#isPointerMovingToSubmenu()||this.parentMenu.root.isUsingKeyboard.current)return;this.parentMenu.contentNode?.focus({preventScroll:!0}),this.rovingFocusGroup.setCurrentTabStopId("")}onTriggerLeave(){return!!this.#isPointerMovingToSubmenu()}handleInteractOutside(e){if(!isElementOrSVGElement(e.target))return;const triggerId=this.parentMenu.triggerNode?.id;if(e.target.id===triggerId){e.preventDefault();return}if(e.target.closest(`#${triggerId}`)){e.preventDefault();return}this. +parentMenu.root.ignoreCloseAutoFocus=!0,afterTick(()=>{this.parentMenu.root.ignoreCloseAutoFocus=!1})}get shouldRender(){return this.parentMenu.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.parentMenu.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"menu","aria-orientation":"vertical",[this.parentMenu.root.getBitsAttr("content")]:"","da\ +ta-state":getDataOpenClosed(this.parentMenu.opts.open.current),...getDataTransitionAttrs(this.parentMenu.contentPresence.transitionStatus),onkeydown:this.onkeydown,onblur:this.onblur,onfocus:this.onfocus,dir:this.parentMenu.root.opts.dir.current,style:{pointerEvents:"auto",contain:"layout style"},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onCloseAutoFocus:e=>this.onCloseAutoFocus(e)}}class MenuItemSharedState{opts;content;attachment;#isFocused=state$1( +!1);constructor(opts,content2){this.opts=opts,this.content=content2,this.attachment=attachRef(this.opts.ref),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this),this.onfocus=this.onfocus.bind(this),this.onblur=this.onblur.bind(this)}onpointermove(e){if(!e.defaultPrevented&&isMouseEvent(e))if(this.opts.disabled.current)this.content.onItemLeave(e);else{if(this.content.onItemEnter())return;const item=e.currentTarget;if(!isHTMLElement$1(item))return;item. +focus({preventScroll:!0})}}onpointerleave(e){e.defaultPrevented||isMouseEvent(e)&&this.content.onItemLeave(e)}onfocus(e){afterTick(()=>{e.defaultPrevented||this.opts.disabled.current||set$1(this.#isFocused,!0)})}onblur(e){afterTick(()=>{e.defaultPrevented||set$1(this.#isFocused,!1)})}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,role:"menuitem","aria-disabled":boolToStr(this.opts.disabled.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":get$3( +this.#isFocused)?"":void 0,[this.content.parentMenu.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onfocus:this.onfocus,onblur:this.onblur,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuItemState{static create(opts){const item=new MenuItemSharedState(opts,MenuContentContext.get());return new MenuItemState(opts,item)}opts;item;root;#isPointerDown=!1;constructor(opts,item){this.opts= +opts,this.item=item,this.root=item.content.parentMenu.root,this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this)}#handleSelect(){if(this.item.opts.disabled.current)return;const selectEvent=new CustomEvent("menuitemselect",{bubbles:!0,cancelable:!0});if(this.opts.onSelect.current(selectEvent),selectEvent.defaultPrevented){this.item.content.parentMenu.root.isUsingKeyboard.current=!1; +return}this.opts.closeOnSelect.current&&this.item.content.parentMenu.root.opts.onClose()}onkeydown(e){const isTypingAhead=this.item.content.search!=="";if(!(this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE)&&SELECTION_KEYS.includes(e.key)){if(!isHTMLElement$1(e.currentTarget))return;e.currentTarget.click(),e.preventDefault()}}onclick(_){this.item.opts.disabled.current||this.#handleSelect()}onpointerup(e){if(!e.defaultPrevented&&!this.#isPointerDown){if(!isHTMLElement$1(e.currentTarget)) +return;e.currentTarget?.click()}}onpointerdown(_){this.#isPointerDown=!0}#props=user_derived(()=>mergeProps(this.item.props,{onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubTriggerState{static create(opts){const content2=MenuContentContext.get(),item=new MenuItemSharedState(opts,content2),submenu=MenuMenuContext.get();return new MenuSubTriggerState( +opts,item,content2,submenu)}opts;item;content;submenu;attachment;#openTimer=null;constructor(opts,item,content2,submenu){this.opts=opts,this.item=item,this.content=content2,this.submenu=submenu,this.attachment=attachRef(this.opts.ref,v=>this.submenu.triggerNode=v),this.onpointerleave=this.onpointerleave.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),onDestroyEffect(()=>{this.#clearOpenTimer()})}#clearOpenTimer(){ +this.#openTimer!==null&&(this.content.domContext.getWindow().clearTimeout(this.#openTimer),this.#openTimer=null)}onpointermove(e){if(isMouseEvent(e)){if(this.submenu.root.isPointerInTransit){this.#openTimer!==null&&this.#clearOpenTimer();return}if(!this.item.opts.disabled.current&&!this.submenu.opts.open.current&&!this.#openTimer){const openDelay=this.opts.openDelay.current;if(openDelay<=0){this.submenu.onOpen();return}this.#openTimer=this.content.domContext.setTimeout(()=>{if(this.submenu.root. +isPointerInTransit){this.#clearOpenTimer();return}this.submenu.onOpen(),this.#clearOpenTimer()},openDelay)}}}onpointerleave(e){isMouseEvent(e)&&this.#clearOpenTimer()}onkeydown(e){const isTypingAhead=this.content.search!=="";this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE||SUB_OPEN_KEYS[this.submenu.root.opts.dir.current].includes(e.key)&&(e.currentTarget.click(),e.preventDefault())}onclick(e){if(this.item.opts.disabled.current||!isHTMLElement$1(e.currentTarget))return;e.currentTarget. +focus();const selectEvent=new CustomEvent("menusubtriggerselect",{bubbles:!0,cancelable:!0});this.opts.onSelect.current(selectEvent),this.submenu.opts.open.current||(this.submenu.onOpen(),afterTick(()=>{const contentNode=this.submenu.contentNode;contentNode&&MenuOpenEvent.dispatch(contentNode)}))}#props=user_derived(()=>mergeProps({"aria-haspopup":"menu","aria-expanded":boolToStr(this.submenu.opts.open.current),"data-state":getDataOpenClosed(this.submenu.opts.open.current),"aria-controls":this.submenu. +opts.open.current?this.submenu.contentId.current:void 0,[this.submenu.root.getBitsAttr("sub-trigger")]:"",onclick:this.onclick,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onkeydown:this.onkeydown,...this.attachment},this.item.props));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSeparatorState{static create(opts){return new MenuSeparatorState(opts,MenuRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts, +this.root=root2,this.attachment=attachRef(this.opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,role:"group",[this.root.getBitsAttr("separator")]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class DropdownMenuTriggerState{static create(opts){return new DropdownMenuTriggerState(opts,MenuMenuContext.get())}opts;parentMenu;attachment;constructor(opts,parentMenu){this.opts=opts,this.parentMenu=parentMenu,this.attachment=attachRef( +this.opts.ref,v=>this.parentMenu.triggerNode=v)}onclick=e=>{this.opts.disabled.current||e.detail!==0||(this.parentMenu.toggleOpen(),e.preventDefault())};onpointerdown=e=>{if(!this.opts.disabled.current){if(e.pointerType==="touch")return e.preventDefault();e.button===0&&e.ctrlKey===!1&&(this.parentMenu.toggleOpen(),this.parentMenu.opts.open.current||e.preventDefault())}};onpointerup=e=>{this.opts.disabled.current||e.pointerType==="touch"&&(e.preventDefault(),this.parentMenu.toggleOpen())};onkeydown=e=>{ +if(!this.opts.disabled.current){if(e.key===SPACE||e.key===ENTER){this.parentMenu.toggleOpen(),e.preventDefault();return}e.key===ARROW_DOWN&&(this.parentMenu.onOpen(),e.preventDefault())}};#ariaControls=user_derived(()=>{if(this.parentMenu.opts.open.current&&this.parentMenu.contentId.current)return this.parentMenu.contentId.current});#props=user_derived(()=>({id:this.opts.id.current,disabled:this.opts.disabled.current,"aria-haspopup":"menu","aria-expanded":boolToStr(this.parentMenu.opts.open.current), +"aria-controls":get$3(this.#ariaControls),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-state":getDataOpenClosed(this.parentMenu.opts.open.current),[this.parentMenu.root.getBitsAttr("trigger")]:"",onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubmenuState{static create(opts){const menu=MenuMenuContext. +get();return MenuMenuContext.set(new MenuMenuState(opts,menu.root,menu))}}globalThis.bitsDismissableLayers??=new Map;class DismissibleLayerState{static create(opts){return new DismissibleLayerState(opts)}opts;#interactOutsideProp;#behaviorType;#interceptedEvents={pointerdown:!1};#isResponsibleLayer=!1;#isFocusInsideDOMTree=!1;#documentObj=void 0;#onFocusOutside;#unsubClickListener=noop$1;constructor(opts){this.opts=opts,this.#behaviorType=opts.interactOutsideBehavior,this.#interactOutsideProp=opts. +onInteractOutside,this.#onFocusOutside=opts.onFocusOutside,user_effect(()=>{this.#documentObj=getOwnerDocument(this.opts.ref.current)});let unsubEvents=noop$1;const cleanup=()=>{this.#resetState(),globalThis.bitsDismissableLayers.delete(this),this.#handleInteractOutside.destroy(),unsubEvents()};watch$1([()=>this.opts.enabled.current,()=>this.opts.ref.current],()=>{if(!(!this.opts.enabled.current||!this.opts.ref.current))return afterSleep(1,()=>{this.opts.ref.current&&(globalThis.bitsDismissableLayers. +set(this,this.#behaviorType),unsubEvents(),unsubEvents=this.#addEventListeners())}),cleanup}),onDestroyEffect(()=>{this.#resetState.destroy(),globalThis.bitsDismissableLayers.delete(this),this.#handleInteractOutside.destroy(),this.#unsubClickListener(),unsubEvents()})}#handleFocus=event2=>{event2.defaultPrevented||this.opts.ref.current&&afterTick(()=>{!this.opts.ref.current||this.#isTargetWithinLayer(event2.target)||event2.target&&!this.#isFocusInsideDOMTree&&this.#onFocusOutside.current?.(event2)})};#addEventListeners(){ +return executeCallbacks(on(this.#documentObj,"pointerdown",executeCallbacks(this.#markInterceptedEvent,this.#markResponsibleLayer),{capture:!0}),on(this.#documentObj,"pointerdown",executeCallbacks(this.#markNonInterceptedEvent,this.#handleInteractOutside)),on(this.#documentObj,"focusin",this.#handleFocus))}#handleDismiss=e=>{let event2=e;event2.defaultPrevented&&(event2=createWrappedEvent(e)),this.#interactOutsideProp.current(e)};#handleInteractOutside=debounce$1(e=>{if(!this.opts.ref.current){this.#unsubClickListener(); +return}const isEventValid=this.opts.isValidEvent.current(e,this.opts.ref.current)||isValidEvent(e,this.opts.ref.current);if(!this.#isResponsibleLayer||this.#isAnyEventIntercepted()||!isEventValid){this.#unsubClickListener();return}let event2=e;if(event2.defaultPrevented&&(event2=createWrappedEvent(event2)),this.#behaviorType.current!=="close"&&this.#behaviorType.current!=="defer-otherwise-close"){this.#unsubClickListener();return}e.pointerType==="touch"?(this.#unsubClickListener(),this.#unsubClickListener= +on(this.#documentObj,"click",this.#handleDismiss,{once:!0})):this.#interactOutsideProp.current(event2)},10);#markInterceptedEvent=e=>{this.#interceptedEvents[e.type]=!0};#markNonInterceptedEvent=e=>{this.#interceptedEvents[e.type]=!1};#markResponsibleLayer=()=>{this.opts.ref.current&&(this.#isResponsibleLayer=isResponsibleLayer(this.opts.ref.current))};#isTargetWithinLayer=target2=>this.opts.ref.current?isOrContainsTarget(this.opts.ref.current,target2):!1;#resetState=debounce$1(()=>{for(const eventType in this.#interceptedEvents) +this.#interceptedEvents[eventType]=!1;this.#isResponsibleLayer=!1},20);#isAnyEventIntercepted(){return Object.values(this.#interceptedEvents).some(Boolean)}#onfocuscapture=()=>{this.#isFocusInsideDOMTree=!0};#onblurcapture=()=>{this.#isFocusInsideDOMTree=!1};props={onfocuscapture:this.#onfocuscapture,onblurcapture:this.#onblurcapture}}function getTopMostDismissableLayer(layersArr=[...globalThis.bitsDismissableLayers]){return layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"|| +behaviorType==="ignore")}function isResponsibleLayer(node2){const layersArr=[...globalThis.bitsDismissableLayers],topMostLayer=getTopMostDismissableLayer(layersArr);if(topMostLayer)return topMostLayer[0].opts.ref.current===node2;const[firstLayerNode]=layersArr[0];return firstLayerNode.opts.ref.current===node2}function isValidEvent(e,node2){const target2=e.target;if(!isElementOrSVGElement(target2))return!1;const targetIsContextMenuTrigger=!!target2.closest(`[${CONTEXT_MENU_TRIGGER_ATTR}]`),nodeIsContextMenu=!!node2. +closest(`[${CONTEXT_MENU_CONTENT_ATTR}]`);return"button"in e&&e.button>0&&!targetIsContextMenuTrigger?!1:"button"in e&&e.button===0&&targetIsContextMenuTrigger&&nodeIsContextMenu?!0:targetIsContextMenuTrigger&&nodeIsContextMenu?!1:getOwnerDocument(target2).documentElement.contains(target2)&&!isOrContainsTarget(node2,target2)&&isClickTrulyOutside(e,node2)}function createWrappedEvent(e){const capturedCurrentTarget=e.currentTarget,capturedTarget=e.target;let newEvent;e instanceof PointerEvent?newEvent= +new PointerEvent(e.type,e):newEvent=new PointerEvent("pointerdown",e);let isPrevented=!1;return new Proxy(newEvent,{get:(target2,prop2)=>prop2==="currentTarget"?capturedCurrentTarget:prop2==="target"?capturedTarget:prop2==="preventDefault"?()=>{isPrevented=!0,typeof target2.preventDefault=="function"&&target2.preventDefault()}:prop2==="defaultPrevented"?isPrevented:prop2 in target2?target2[prop2]:e[prop2]})}function Dismissible_layer($$anchor,$$props){push$1($$props,!0);let interactOutsideBehavior=prop( +$$props,"interactOutsideBehavior",3,"close"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside",3,noop$1),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1);const dismissibleLayerState=DismissibleLayerState.create({id:boxWith$1(()=>$$props.id),interactOutsideBehavior:boxWith$1(()=>interactOutsideBehavior()),onInteractOutside:boxWith$1(()=>onInteractOutside()),enabled:boxWith$1(()=>$$props.enabled),onFocusOutside:boxWith$1(()=>onFocusOutside()), +isValidEvent:boxWith$1(()=>isValidEvent2()),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3,()=>({props:dismissibleLayerState.props})),append($$anchor,fragment),pop()}globalThis.bitsEscapeLayers??=new Map;class EscapeLayerState{static create(opts){return new EscapeLayerState(opts)}opts;domContext;constructor(opts){this.opts=opts,this.domContext=new DOMContext(this.opts.ref);let unsubEvents=noop$1;watch$1(()=>opts.enabled.current,enabled=>(enabled&& +(globalThis.bitsEscapeLayers.set(this,opts.escapeKeydownBehavior),unsubEvents=this.#addEventListener()),()=>{unsubEvents(),globalThis.bitsEscapeLayers.delete(this)}))}#addEventListener=()=>on(this.domContext.getDocument(),"keydown",this.#onkeydown,{passive:!1});#onkeydown=e=>{if(e.key!==ESCAPE||!isResponsibleEscapeLayer(this))return;const clonedEvent=new KeyboardEvent(e.type,e);e.preventDefault();const behaviorType=this.opts.escapeKeydownBehavior.current;behaviorType!=="close"&&behaviorType!=="d\ +efer-otherwise-close"||this.opts.onEscapeKeydown.current(clonedEvent)}}function isResponsibleEscapeLayer(instance){const layersArr=[...globalThis.bitsEscapeLayers],topMostLayer=layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"||behaviorType==="ignore");if(topMostLayer)return topMostLayer[0]===instance;const[firstLayerNode]=layersArr[0];return firstLayerNode===instance}function Escape_layer($$anchor,$$props){push$1($$props,!0);let escapeKeydownBehavior=prop($$props,"escapeKe\ +ydownBehavior",3,"close"),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1);EscapeLayerState.create({escapeKeydownBehavior:boxWith$1(()=>escapeKeydownBehavior()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),enabled:boxWith$1(()=>$$props.enabled),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}class FocusScopeManager{static instance;#scopeStack=simpleBox([]);#focusHistory=new WeakMap;#preFocusHistory=new WeakMap;static getInstance(){ +return this.instance||(this.instance=new FocusScopeManager),this.instance}register(scope2){const current2=this.getActive();current2&¤t2!==scope2&¤t2.pause();const activeElement=document.activeElement;activeElement&&activeElement!==document.body&&this.#preFocusHistory.set(scope2,activeElement),this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!==scope2),this.#scopeStack.current.unshift(scope2)}unregister(scope2){this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!== +scope2);const next2=this.getActive();next2&&next2.resume()}getActive(){return this.#scopeStack.current[0]}setFocusMemory(scope2,element2){this.#focusHistory.set(scope2,element2)}getFocusMemory(scope2){return this.#focusHistory.get(scope2)}isActiveScope(scope2){return this.getActive()===scope2}setPreFocusMemory(scope2,element2){this.#preFocusHistory.set(scope2,element2)}getPreFocusMemory(scope2){return this.#preFocusHistory.get(scope2)}clearPreFocusMemory(scope2){this.#preFocusHistory.delete(scope2)}} +class FocusScope{#paused=!1;#container=null;#manager=FocusScopeManager.getInstance();#cleanupFns=[];#opts;constructor(opts){this.#opts=opts}get paused(){return this.#paused}pause(){this.#paused=!0}resume(){this.#paused=!1}#cleanup(){for(const fn of this.#cleanupFns)fn();this.#cleanupFns=[]}mount(container2){this.#container&&this.unmount(),this.#container=container2,this.#manager.register(this),this.#setupEventListeners(),this.#handleOpenAutoFocus()}unmount(){this.#container&&(this.#cleanup(),this.#handleCloseAutoFocus(), +this.#manager.unregister(this),this.#manager.clearPreFocusMemory(this),this.#container=null)}#handleOpenAutoFocus(){if(!this.#container)return;const event2=new CustomEvent("focusScope.onOpenAutoFocus",{bubbles:!1,cancelable:!0});this.#opts.onOpenAutoFocus.current(event2),event2.defaultPrevented||requestAnimationFrame(()=>{if(!this.#container)return;const firstTabbable=this.#getFirstTabbable();firstTabbable?(firstTabbable.focus(),this.#manager.setFocusMemory(this,firstTabbable)):this.#container.focus()})}#handleCloseAutoFocus(){ +const event2=new CustomEvent("focusScope.onCloseAutoFocus",{bubbles:!1,cancelable:!0});if(this.#opts.onCloseAutoFocus.current?.(event2),!event2.defaultPrevented){const preFocusedElement=this.#manager.getPreFocusMemory(this);if(preFocusedElement&&document.contains(preFocusedElement))try{preFocusedElement.focus()}catch{document.body.focus()}}}#setupEventListeners(){if(!this.#container||!this.#opts.trap.current)return;const container2=this.#container,doc=container2.ownerDocument,handleFocus=e=>{if(this.#paused|| +!this.#manager.isActiveScope(this))return;const target2=e.target;if(!target2)return;if(container2.contains(target2))this.#manager.setFocusMemory(this,target2);else{const lastFocused=this.#manager.getFocusMemory(this);if(lastFocused&&container2.contains(lastFocused)&&isFocusable(lastFocused))e.preventDefault(),lastFocused.focus();else{const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0];(firstTabbable||firstFocusable||container2).focus()}}},handleKeydown=e=>{if(!this.#opts. +loop||this.#paused||e.key!=="Tab"||!this.#manager.isActiveScope(this))return;const tabbables=this.#getTabbables();if(tabbables.length===0)return;const first=tabbables[0],last=tabbables[tabbables.length-1];!e.shiftKey&&doc.activeElement===last?(e.preventDefault(),first.focus()):e.shiftKey&&doc.activeElement===first&&(e.preventDefault(),last.focus())};this.#cleanupFns.push(on(doc,"focusin",handleFocus,{capture:!0}),on(container2,"keydown",handleKeydown));const observer=new MutationObserver(()=>{const lastFocused=this.#manager. +getFocusMemory(this);if(lastFocused&&!container2.contains(lastFocused)){const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0],elementToFocus=firstTabbable||firstFocusable;elementToFocus?(elementToFocus.focus(),this.#manager.setFocusMemory(this,elementToFocus)):container2.focus()}});observer.observe(container2,{childList:!0,subtree:!0}),this.#cleanupFns.push(()=>observer.disconnect())}#getTabbables(){return this.#container?tabbable(this.#container,{includeContainer:!1, +getShadowRoot:!0}):[]}#getFirstTabbable(){return this.#getTabbables()[0]||null}#getAllFocusables(){return this.#container?focusable(this.#container,{includeContainer:!1,getShadowRoot:!0}):[]}static use(opts){let scope2=null;return watch$1([()=>opts.ref.current,()=>opts.enabled.current],([ref2,enabled])=>{ref2&&enabled?(scope2||(scope2=new FocusScope(opts)),scope2.mount(ref2)):scope2&&(scope2.unmount(),scope2=null)}),onDestroyEffect(()=>{scope2?.unmount()}),{get props(){return{tabindex:-1}}}}}function Focus_scope($$anchor,$$props){ +push$1($$props,!0);let enabled=prop($$props,"enabled",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),loop2=prop($$props,"loop",3,!1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1);const focusScopeState=FocusScope.use({enabled:boxWith$1(()=>enabled()),trap:boxWith$1(()=>trapFocus()),loop:loop2(),onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus()),onOpenAutoFocus:boxWith$1(()=>onOpenAutoFocus()),ref:$$props.ref});var fragment=comment$2(), +node2=first_child(fragment);snippet(node2,()=>$$props.focusScope??noop$3,()=>({props:focusScopeState.props})),append($$anchor,fragment),pop()}const noopPointer=()=>{};globalThis.bitsTextSelectionLayers??=new Map;class TextSelectionLayerState{static create(opts){return new TextSelectionLayerState(opts)}opts;domContext;#unsubSelectionLock=noop$1;#enabledSnapshot=!1;#onPointerDownSnapshot=noopPointer;#onPointerUpSnapshot=noopPointer;constructor(opts){this.opts=opts,this.domContext=new DOMContext(opts. +ref);let unsubEvents=noop$1;watch$1(()=>[this.opts.enabled.current,this.opts.onPointerDown.current,this.opts.onPointerUp.current],([enabled,onPointerDown,onPointerUp])=>(this.#enabledSnapshot=enabled,this.#onPointerDownSnapshot=onPointerDown,this.#onPointerUpSnapshot=onPointerUp,enabled&&(globalThis.bitsTextSelectionLayers.set(this,this.opts.enabled),unsubEvents(),unsubEvents=this.#addEventListeners()),()=>{this.#enabledSnapshot=!1,unsubEvents(),this.#resetSelectionLock(),globalThis.bitsTextSelectionLayers. +delete(this)}))}#addEventListeners(){return executeCallbacks(on(this.domContext.getDocument(),"pointerdown",this.#pointerdown),on(this.domContext.getDocument(),"pointerup",composeHandlers(this.#resetSelectionLock,this.#pointerupUserHandler)))}#pointerupUserHandler=e=>{this.#onPointerUpSnapshot(e)};#pointerdown=e=>{const node2=this.opts.ref.current,target2=e.target;!isHTMLElement$1(node2)||!isHTMLElement$1(target2)||!this.#enabledSnapshot||!isHighestLayer(this)||!contains$3(node2,target2)||(this.#onPointerDownSnapshot( +e),!e.defaultPrevented&&(this.#unsubSelectionLock=preventTextSelectionOverflow(node2,this.domContext.getDocument().body)))};#resetSelectionLock=()=>{this.#unsubSelectionLock(),this.#unsubSelectionLock=noop$1}}const getUserSelect=node2=>node2.style.userSelect||node2.style.webkitUserSelect;function preventTextSelectionOverflow(node2,body2){const originalBodyUserSelect=getUserSelect(body2),originalNodeUserSelect=getUserSelect(node2);return setUserSelect(body2,"none"),setUserSelect(node2,"text"),()=>{ +setUserSelect(body2,originalBodyUserSelect),setUserSelect(node2,originalNodeUserSelect)}}function setUserSelect(node2,value){node2.style.userSelect=value,node2.style.webkitUserSelect=value}function isHighestLayer(instance){const layersArr=[...globalThis.bitsTextSelectionLayers];if(!layersArr.length)return!1;const highestLayer=layersArr.at(-1);return highestLayer?highestLayer[0]===instance:!1}function Text_selection_layer($$anchor,$$props){push$1($$props,!0);let preventOverflowTextSelection=prop( +$$props,"preventOverflowTextSelection",3,!0),onPointerDown=prop($$props,"onPointerDown",3,noop$1),onPointerUp=prop($$props,"onPointerUp",3,noop$1);TextSelectionLayerState.create({id:boxWith$1(()=>$$props.id),onPointerDown:boxWith$1(()=>onPointerDown()),onPointerUp:boxWith$1(()=>onPointerUp()),enabled:boxWith$1(()=>$$props.enabled&&preventOverflowTextSelection()),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment), +pop()}globalThis.bitsIdCounter??={current:0};function useId(prefix="bits"){return globalThis.bitsIdCounter.current++,`${prefix}-${globalThis.bitsIdCounter.current}`}class SharedState{#factory;#subscribers=0;#state=state$1();#scope;constructor(factory){this.#factory=factory}#dispose(){this.#subscribers-=1,this.#scope&&this.#subscribers<=0&&(this.#scope(),set$1(this.#state,void 0),this.#scope=void 0)}get(...args){return this.#subscribers+=1,get$3(this.#state)===void 0&&(this.#scope=effect_root(()=>{ +set$1(this.#state,this.#factory(...args),!0)})),user_effect(()=>()=>{this.#dispose()}),get$3(this.#state)}}const lockMap=new SvelteMap;let initialBodyStyle=state$1(null),stopTouchMoveListener=null,cleanupTimeoutId=null,isInCleanupTransition=!1;const anyLocked=boxWith$1(()=>{for(const value of lockMap.values())if(value)return!0;return!1});let cleanupScheduledAt=null;const bodyLockStackCount=new SharedState(()=>{function resetBodyStyle(){document.body.setAttribute("style",get$3(initialBodyStyle)?? +""),document.body.style.removeProperty("--scrollbar-width"),isIOS&&stopTouchMoveListener?.(),set$1(initialBodyStyle,null)}function cancelPendingCleanup(){cleanupTimeoutId!==null&&(window.clearTimeout(cleanupTimeoutId),cleanupTimeoutId=null)}function scheduleCleanupIfNoNewLocks(delay,callback){cancelPendingCleanup(),isInCleanupTransition=!0,cleanupScheduledAt=Date.now();const currentCleanupId=cleanupScheduledAt,cleanupFn=()=>{cleanupTimeoutId=null,cleanupScheduledAt===currentCleanupId&&(isAnyLocked( +lockMap)?isInCleanupTransition=!1:(isInCleanupTransition=!1,callback()))},actualDelay=delay===null?24:delay;cleanupTimeoutId=window.setTimeout(cleanupFn,actualDelay)}function ensureInitialStyleCaptured(){get$3(initialBodyStyle)===null&&lockMap.size===0&&!isInCleanupTransition&&set$1(initialBodyStyle,document.body.getAttribute("style"),!0)}return watch$1(()=>anyLocked.current,()=>{if(!anyLocked.current)return;ensureInitialStyleCaptured(),isInCleanupTransition=!1;const htmlStyle=getComputedStyle(document. +documentElement),bodyStyle=getComputedStyle(document.body),hasStableGutter=htmlStyle.scrollbarGutter?.includes("stable")||bodyStyle.scrollbarGutter?.includes("stable"),verticalScrollbarWidth=window.innerWidth-document.documentElement.clientWidth,config2={padding:Number.parseInt(bodyStyle.paddingRight??"0",10)+verticalScrollbarWidth,margin:Number.parseInt(bodyStyle.marginRight??"0",10)};verticalScrollbarWidth>0&&!hasStableGutter&&(document.body.style.paddingRight=`${config2.padding}px`,document.body. +style.marginRight=`${config2.margin}px`,document.body.style.setProperty("--scrollbar-width",`${verticalScrollbarWidth}px`)),document.body.style.overflow="hidden",isIOS&&(stopTouchMoveListener=on(document,"touchmove",e=>{e.target===document.documentElement&&(e.touches.length>1||e.preventDefault())},{passive:!1})),afterTick(()=>{document.body.style.pointerEvents="none",document.body.style.overflow="hidden"})}),onDestroyEffect(()=>()=>{stopTouchMoveListener?.()}),{get lockMap(){return lockMap},resetBodyStyle, +scheduleCleanupIfNoNewLocks,cancelPendingCleanup,ensureInitialStyleCaptured}});class BodyScrollLock{#id=useId();#initialState;#restoreScrollDelay=()=>null;#countState;locked;constructor(initialState,restoreScrollDelay=()=>null){this.#initialState=initialState,this.#restoreScrollDelay=restoreScrollDelay,this.#countState=bodyLockStackCount.get(),this.#countState&&(this.#countState.cancelPendingCleanup(),this.#countState.ensureInitialStyleCaptured(),this.#countState.lockMap.set(this.#id,this.#initialState?? +!1),this.locked=boxWith$1(()=>this.#countState.lockMap.get(this.#id)??!1,v=>this.#countState.lockMap.set(this.#id,v)),onDestroyEffect(()=>{if(this.#countState.lockMap.delete(this.#id),isAnyLocked(this.#countState.lockMap))return;const restoreScrollDelay2=this.#restoreScrollDelay();this.#countState.scheduleCleanupIfNoNewLocks(restoreScrollDelay2,()=>{this.#countState.resetBodyStyle()})}))}}function isAnyLocked(map2){for(const[_,value]of map2)if(value)return!0;return!1}function Scroll_lock($$anchor,$$props){ +push$1($$props,!0);let preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null);preventScroll()&&new BodyScrollLock(preventScroll(),()=>restoreScrollDelay()),pop()}var root_6$y=from_html(" ",1),root_8$A=from_html("
",1);function Alert_dialog_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceM\ +ount",3,!1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"ignore"),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),preventScroll=prop($$props,"preventScroll",3,!0),trapFocus=prop($$props,"trapFocus",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null),restProps=rest_props($$props, +["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","interactOutsideBehavior","onCloseAutoFocus","onEscapeKeydown","onOpenAutoFocus","onInteractOutside","preventScroll","trapFocus","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_2=$$anchor2=>{Focus_scope( +$$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open.current},get onCloseAutoFocus(){return onCloseAutoFocus()},onOpenAutoFocus:e=>{onOpenAutoFocus()(e),!e.defaultPrevented&&(e.preventDefault(),afterSleep(0,()=>contentState.opts.ref.current?.focus()))},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer($$anchor3,spread_props(()=>get$3(mergedProps),{get enabled(){return contentState. +root.opts.open.current},get ref(){return contentState.opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},get interactOutsideBehavior(){return interactOutsideBehavior()},onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState. +root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child(fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$y(),node_2=first_child(fragment_6);{var consequent=$$anchor8=>{Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){ +return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props.child,()=>get$3($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{var fragment_8=root_8$A(),node_4=first_child(fragment_8);Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling( +node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps),focusScopeProps())]);var node_5=child(div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})};if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render( +consequent_2)})}append($$anchor,fragment),pop()}var root_3$15=from_html("
");function Dialog_overlay$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),forceMount=prop($$props,"forceMount",3,!1),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","forceMount","child","children","ref"]);const overlayState=DialogOverlayState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(), +v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,overlayState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps)),...overlayState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor3,fragment_2)},alternate=$$anchor3=>{ +var div=root_3$15();attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps))]);var node_3=child(div);snippet(node_3,()=>$$props.children??noop$3,()=>overlayState.snippetProps),reset(div),append($$anchor3,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{(overlayState.shouldRender||forceMount())&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root_2$1A=from_html("
\ +
");function Dialog_description$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref"]);const descriptionState=DialogDescriptionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,descriptionState.props));var fragment=comment$2(),node2=first_child( +fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1A();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment), +pop()}const checkboxAttrs=createBitsAttrs({component:"checkbox",parts:["root","group","group-label","input"]}),CheckboxGroupContext=new Context$1("Checkbox.Group"),CheckboxRootContext=new Context$1("Checkbox.Root");class CheckboxRootState{static create(opts,group=null){return CheckboxRootContext.set(new CheckboxRootState(opts,group))}opts;group;#trueName=user_derived(()=>this.group&&this.group.opts.name.current?this.group.opts.name.current:this.opts.name.current);get trueName(){return get$3(this.#trueName)}set trueName(value){ +set$1(this.#trueName,value)}#trueRequired=user_derived(()=>this.group&&this.group.opts.required.current?!0:this.opts.required.current);get trueRequired(){return get$3(this.#trueRequired)}set trueRequired(value){set$1(this.#trueRequired,value)}#trueDisabled=user_derived(()=>this.group&&this.group.opts.disabled.current?!0:this.opts.disabled.current);get trueDisabled(){return get$3(this.#trueDisabled)}set trueDisabled(value){set$1(this.#trueDisabled,value)}#trueReadonly=user_derived(()=>this.group&& +this.group.opts.readonly.current?!0:this.opts.readonly.current);get trueReadonly(){return get$3(this.#trueReadonly)}set trueReadonly(value){set$1(this.#trueReadonly,value)}attachment;constructor(opts,group){this.opts=opts,this.group=group,this.attachment=attachRef(this.opts.ref),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),watch$1.pre([()=>snapshot(this.group?.opts.value.current),()=>this.opts.value.current],([groupValue,value])=>{!groupValue||!value||(this.opts. +checked.current=groupValue.includes(value))}),watch$1.pre(()=>this.opts.checked.current,checked=>{this.group&&(checked?this.group?.addValue(this.opts.value.current):this.group?.removeValue(this.opts.value.current))})}onkeydown(e){if(!(this.trueDisabled||this.trueReadonly)){if(e.key===ENTER){e.preventDefault(),this.opts.type.current==="submit"&&e.currentTarget.closest("form")?.requestSubmit();return}e.key===SPACE&&(e.preventDefault(),this.#toggle())}}#toggle(){this.opts.indeterminate.current?(this. +opts.indeterminate.current=!1,this.opts.checked.current=!0):this.opts.checked.current=!this.opts.checked.current}onclick(e){if(!(this.trueDisabled||this.trueReadonly)){if(this.opts.type.current==="submit"){this.#toggle();return}e.preventDefault(),this.#toggle()}}#snippetProps=user_derived(()=>({checked:this.opts.checked.current,indeterminate:this.opts.indeterminate.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived( +()=>({id:this.opts.id.current,role:"checkbox",type:this.opts.type.current,disabled:this.trueDisabled,"aria-checked":getAriaChecked(this.opts.checked.current,this.opts.indeterminate.current),"aria-required":boolToStr(this.trueRequired),"aria-readonly":boolToStr(this.trueReadonly),"data-disabled":boolToEmptyStrOrUndef(this.trueDisabled),"data-readonly":boolToEmptyStrOrUndef(this.trueReadonly),"data-state":getCheckboxDataState(this.opts.checked.current,this.opts.indeterminate.current),[checkboxAttrs. +root]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CheckboxInputState{static create(){return new CheckboxInputState(CheckboxRootContext.get())}root;#trueChecked=user_derived(()=>this.root.group?!!(this.root.opts.value.current!==void 0&&this.root.group.opts.value.current.includes(this.root.opts.value.current)):this.root.opts.checked.current);get trueChecked(){return get$3(this.#trueChecked)}set trueChecked(value){ +set$1(this.#trueChecked,value)}#shouldRender=user_derived(()=>!!this.root.trueName);get shouldRender(){return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(root2){this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(_){isHTMLElement$1(this.root.opts.ref.current)&&this.root.opts.ref.current.focus()}#props=user_derived(()=>({type:"checkbox",checked:this.root.opts.checked.current===!0,disabled:this.root.trueDisabled,required:this.root.trueRequired, +name:this.root.trueName,value:this.root.opts.value.current,readonly:this.root.trueReadonly,onfocus:this.onfocus}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function getCheckboxDataState(checked,indeterminate){return indeterminate?"indeterminate":checked?"checked":"unchecked"}enable_legacy_mode_flag();var root_1$1d=from_html(""),root_2$1z=from_html("");function Hidden_input($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value", +15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","value"]);const mergedProps=user_derived(()=>mergeProps(restProps,{"aria-hidden":"true",tabindex:-1,style:{...srOnlyStyles$1,position:"absolute",top:"0",left:"0"}}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$1d();attribute_effect(input,()=>({...get$3(mergedProps),value:value()}),void 0,void 0,void 0,void 0,!0),append($$anchor2,input)},alternate=$$anchor2=>{var input_1=root_2$1z(); +attribute_effect(input_1,()=>({...get$3(mergedProps)}),void 0,void 0,void 0,void 0,!0),bind_value(input_1,value),append($$anchor2,input_1)};if_block(node2,$$render=>{get$3(mergedProps).type==="checkbox"?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Checkbox_input($$anchor,$$props){push$1($$props,!1);const inputState=CheckboxInputState.create();init();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props( +()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1y=from_html(""),root$1_=from_html(" ",1);function Checkbox$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let checked=prop($$props,"checked",15,!1),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),required2=prop($$props,"required",3,!1),name=prop($$props,"name",3,void 0),value=prop($$props,"val\ +ue",3,"on"),id2=prop($$props,"id",19,()=>createId(uid2)),indeterminate=prop($$props,"indeterminate",15,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","checked","ref","onCheckedChange","children","disabled","required","name","value","id","indeterminate","onIndeterminateChange","child","type","readonly"]);const group=CheckboxGroupContext.getOr(null);group&&value()&&(group.opts.value.current.includes(value())?checked(!0):checked(!1)),watch$1. +pre(()=>value(),()=>{group&&value()&&(group.opts.value.current.includes(value())?checked(!0):checked(!1))});const rootState=CheckboxRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),$$props.onCheckedChange?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),name:boxWith$1(()=>name()),value:boxWith$1(()=>value()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),indeterminate:boxWith$1(()=>indeterminate(),v=>{indeterminate(v),$$props.onIndeterminateChange?.( +v)}),type:boxWith$1(()=>type2()),readonly:boxWith$1(()=>!!$$props.readonly)},group),mergedProps=user_derived(()=>mergeProps({...restProps},rootState.props));var fragment=root$1_(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1y();attribute_effect( +button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Checkbox_input(node_3,{}),append($$anchor,fragment),pop()}const collapsibleAttrs=createBitsAttrs({component:"collapsible",parts:["root","content","trigger"]}),CollapsibleRootContext=new Context$1("Collapsible.Ro\ +ot");class CollapsibleRootState{static create(opts){return CollapsibleRootContext.set(new CollapsibleRootState(opts))}opts;attachment;#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#contentId=state$1(void 0);get contentId(){return get$3(this.#contentId)}set contentId(value){set$1(this.#contentId,value,!0)}constructor(opts){this.opts=opts,this.toggleOpen=this.toggleOpen.bind(this),this.attachment= +attachRef(this.opts.ref),this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}})}toggleOpen(){this.opts.open.current=!this.opts.open.current}#props=user_derived(()=>({id:this.opts.id.current,"data-state":getDataOpenClosed(this.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),[collapsibleAttrs.root]:"",...this.attachment}));get props(){return get$3( +this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleContentState{static create(opts){return new CollapsibleContentState(opts,CollapsibleRootContext.get())}opts;root;attachment;#present=user_derived(()=>this.opts.hiddenUntilFound.current?this.root.opts.open.current:this.opts.forceMount.current||this.root.opts.open.current);get present(){return get$3(this.#present)}set present(value){set$1(this.#present,value)}#originalStyles;#isMountAnimationPrevented=state$1(!1);#width=state$1( +0);#height=state$1(0);constructor(opts,root2){this.opts=opts,this.root=root2,set$1(this.#isMountAnimationPrevented,root2.opts.open.current,!0),this.root.contentId=this.opts.id.current,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.contentId=id2}),user_pre_effect(()=>{const rAF=requestAnimationFrame(()=>{set$1(this.#isMountAnimationPrevented,!1)});return()=>{cancelAnimationFrame(rAF)}}),watch$1.pre([()=>this.opts.ref.current, +()=>this.opts.hiddenUntilFound.current],([node2,hiddenUntilFound])=>!node2||!hiddenUntilFound?void 0:on(node2,"beforematch",()=>{this.root.opts.open.current||requestAnimationFrame(()=>{this.root.opts.open.current=!0})})),watch$1([()=>this.opts.ref.current,()=>this.present],([node2])=>{node2&&afterTick(()=>{if(!this.opts.ref.current)return;this.#originalStyles=this.#originalStyles||{transitionDuration:node2.style.transitionDuration,animationName:node2.style.animationName},node2.style.transitionDuration= +"0s",node2.style.animationName="none";const rect=node2.getBoundingClientRect();if(set$1(this.#height,rect.height,!0),set$1(this.#width,rect.width,!0),!get$3(this.#isMountAnimationPrevented)){const{animationName,transitionDuration}=this.#originalStyles;node2.style.transitionDuration=transitionDuration,node2.style.animationName=animationName}})})}get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){ +return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,style:{"--bits-collapsible-content-height":get$3(this.#height)?`${get$3(this.#height)}px`:void 0,"--bits-collapsible-content-width":get$3(this.#width)?`${get$3(this.#width)}px`:void 0},hidden:this.opts.hiddenUntilFound.current&&!this.root.opts.open.current?"until-found":void 0,"data-state":getDataOpenClosed(this.root.opts.open.current),...getDataTransitionAttrs( +this.root.contentPresence.transitionStatus),"data-disabled":boolToEmptyStrOrUndef(this.root.opts.disabled.current),[collapsibleAttrs.content]:"",...this.opts.hiddenUntilFound.current&&!this.shouldRender?{}:{hidden:this.opts.hiddenUntilFound.current?!this.shouldRender:this.opts.forceMount.current?void 0:!this.shouldRender},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleTriggerState{static create(opts){return new CollapsibleTriggerState( +opts,CollapsibleRootContext.get())}opts;root;attachment;#isDisabled=user_derived(()=>this.opts.disabled.current||this.root.opts.disabled.current);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){if(!get$3(this.#isDisabled)){if(e.button!==0)return e.preventDefault();this.root.toggleOpen()}}onkeydown(e){get$3(this.#isDisabled)||(e.key===SPACE||e.key===ENTER)&&(e.preventDefault(), +this.root.toggleOpen())}#props=user_derived(()=>({id:this.opts.id.current,type:"button",disabled:get$3(this.#isDisabled),"aria-controls":this.root.contentId,"aria-expanded":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(get$3(this.#isDisabled)),[collapsibleAttrs.trigger]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props, +value)}}var root_2$1x=from_html("
");function Collapsible$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!1),disabled=prop($$props,"disabled",3,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","ope\ +n","disabled","onOpenChange","onOpenChangeComplete"]);const rootState=CollapsibleRootState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),disabled:boxWith$1(()=>disabled()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child( +fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1x();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1w=from_html("
");function Collapsible_content$1($$anchor,$$props){ +const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),hiddenUntilFound=prop($$props,"hiddenUntilFound",3,!1),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","ref","forceMount","hiddenUntilFound","children","id"]);const contentState=CollapsibleContentState.create({id:boxWith$1(()=>id2()),forceMount:boxWith$1(()=>forceMount()),hiddenUntilFound:boxWith$1(()=>hiddenUntilFound()), +ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({...contentState.snippetProps,props:get$3(mergedProps)}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1w();attribute_effect(div,()=>({...get$3(mergedProps)})); +var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1v=from_html("");function Collapsible_trigger$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props, +["$$slots","$$events","$$legacy","children","child","ref","id","disabled"]);const triggerState=CollapsibleTriggerState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})), +append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1v();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}const sides=["top","right","bottom","left"],min=Math.min,max=Math.max,round=Math.round,floor=Math.floor,createCoords=v=>({x:v,y:v}),oppositeSideMap={ +left:"right",right:"left",bottom:"top",top:"bottom"},oppositeAlignmentMap={start:"end",end:"start"};function clamp$1(start2,value,end){return max(start2,min(value,end))}function evaluate(value,param){return typeof value=="function"?value(param):value}function getSide$1(placement){return placement.split("-")[0]}function getAlignment(placement){return placement.split("-")[1]}function getOppositeAxis(axis){return axis==="x"?"y":"x"}function getAxisLength(axis){return axis==="y"?"height":"width"}const yAxisSides=new Set( +["top","bottom"]);function getSideAxis(placement){return yAxisSides.has(getSide$1(placement))?"y":"x"}function getAlignmentAxis(placement){return getOppositeAxis(getSideAxis(placement))}function getAlignmentSides(placement,rects,rtl){rtl===void 0&&(rtl=!1);const alignment=getAlignment(placement),alignmentAxis=getAlignmentAxis(placement),length=getAxisLength(alignmentAxis);let mainAlignmentSide=alignmentAxis==="x"?alignment===(rtl?"end":"start")?"right":"left":alignment==="start"?"bottom":"top";return rects. +reference[length]>rects.floating[length]&&(mainAlignmentSide=getOppositePlacement(mainAlignmentSide)),[mainAlignmentSide,getOppositePlacement(mainAlignmentSide)]}function getExpandedPlacements(placement){const oppositePlacement=getOppositePlacement(placement);return[getOppositeAlignmentPlacement(placement),oppositePlacement,getOppositeAlignmentPlacement(oppositePlacement)]}function getOppositeAlignmentPlacement(placement){return placement.replace(/start|end/g,alignment=>oppositeAlignmentMap[alignment])} +const lrPlacement=["left","right"],rlPlacement=["right","left"],tbPlacement=["top","bottom"],btPlacement=["bottom","top"];function getSideList(side,isStart,rtl){switch(side){case"top":case"bottom":return rtl?isStart?rlPlacement:lrPlacement:isStart?lrPlacement:rlPlacement;case"left":case"right":return isStart?tbPlacement:btPlacement;default:return[]}}function getOppositeAxisPlacements(placement,flipAlignment,direction,rtl){const alignment=getAlignment(placement);let list2=getSideList(getSide$1(placement), +direction==="start",rtl);return alignment&&(list2=list2.map(side=>side+"-"+alignment),flipAlignment&&(list2=list2.concat(list2.map(getOppositeAlignmentPlacement)))),list2}function getOppositePlacement(placement){return placement.replace(/left|right|bottom|top/g,side=>oppositeSideMap[side])}function expandPaddingObject(padding){return{top:0,right:0,bottom:0,left:0,...padding}}function getPaddingObject(padding){return typeof padding!="number"?expandPaddingObject(padding):{top:padding,right:padding, +bottom:padding,left:padding}}function rectToClientRect(rect){const{x,y,width,height}=rect;return{width,height,top:y,left:x,right:x+width,bottom:y+height,x,y}}function computeCoordsFromPlacement(_ref,placement,rtl){let{reference,floating}=_ref;const sideAxis=getSideAxis(placement),alignmentAxis=getAlignmentAxis(placement),alignLength=getAxisLength(alignmentAxis),side=getSide$1(placement),isVertical=sideAxis==="y",commonX=reference.x+reference.width/2-floating.width/2,commonY=reference.y+reference. +height/2-floating.height/2,commonAlign=reference[alignLength]/2-floating[alignLength]/2;let coords;switch(side){case"top":coords={x:commonX,y:reference.y-floating.height};break;case"bottom":coords={x:commonX,y:reference.y+reference.height};break;case"right":coords={x:reference.x+reference.width,y:commonY};break;case"left":coords={x:reference.x-floating.width,y:commonY};break;default:coords={x:reference.x,y:reference.y}}switch(getAlignment(placement)){case"start":coords[alignmentAxis]-=commonAlign* +(rtl&&isVertical?-1:1);break;case"end":coords[alignmentAxis]+=commonAlign*(rtl&&isVertical?-1:1);break}return coords}const computePosition$1=async(reference,floating,config2)=>{const{placement="bottom",strategy="absolute",middleware=[],platform:platform2}=config2,validMiddleware=middleware.filter(Boolean),rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(floating));let rects=await platform2.getElementRects({reference,floating,strategy}),{x,y}=computeCoordsFromPlacement(rects,placement,rtl), +statefulPlacement=placement,middlewareData={},resetCount=0;for(let i=0;i({name:"arrow",options,async fn(state2){const{x,y,placement,rects,platform:platform2,elements,middlewareData}=state2,{element:element2,padding=0}=evaluate(options,state2)||{};if(element2==null)return{};const paddingObject=getPaddingObject(padding),coords={x,y},axis=getAlignmentAxis(placement),length=getAxisLength(axis),arrowDimensions=await platform2.getDimensions(element2),isYAxis=axis==="y",minProp=isYAxis?"top":"left",maxProp=isYAxis? +"bottom":"right",clientProp=isYAxis?"clientHeight":"clientWidth",endDiff=rects.reference[length]+rects.reference[axis]-coords[axis]-rects.floating[length],startDiff=coords[axis]-rects.reference[axis],arrowOffsetParent=await(platform2.getOffsetParent==null?void 0:platform2.getOffsetParent(element2));let clientSize=arrowOffsetParent?arrowOffsetParent[clientProp]:0;(!clientSize||!await(platform2.isElement==null?void 0:platform2.isElement(arrowOffsetParent)))&&(clientSize=elements.floating[clientProp]|| +rects.floating[length]);const centerToReference=endDiff/2-startDiff/2,largestPossiblePadding=clientSize/2-arrowDimensions[length]/2-1,minPadding=min(paddingObject[minProp],largestPossiblePadding),maxPadding=min(paddingObject[maxProp],largestPossiblePadding),min$1=minPadding,max2=clientSize-arrowDimensions[length]-maxPadding,center=clientSize/2-arrowDimensions[length]/2+centerToReference,offset2=clamp$1(min$1,center,max2),shouldAddOffset=!middlewareData.arrow&&getAlignment(placement)!=null&¢er!== +offset2&&rects.reference[length]/2-(centerside2<= +0)){var _middlewareData$flip2,_overflowsData$filter;const nextIndex=(((_middlewareData$flip2=middlewareData.flip)==null?void 0:_middlewareData$flip2.index)||0)+1,nextPlacement=placements[nextIndex];if(nextPlacement&&(!(checkCrossAxis==="alignment"?initialSideAxis!==getSideAxis(nextPlacement):!1)||overflowsData.every(d2=>d2.overflows[0]>0&&getSideAxis(d2.placement)===initialSideAxis)))return{data:{index:nextIndex,overflows:overflowsData},reset:{placement:nextPlacement}};let resetPlacement=(_overflowsData$filter= +overflowsData.filter(d2=>d2.overflows[0]<=0).sort((a,b)=>a.overflows[1]-b.overflows[1])[0])==null?void 0:_overflowsData$filter.placement;if(!resetPlacement)switch(fallbackStrategy){case"bestFit":{var _overflowsData$filter2;const placement2=(_overflowsData$filter2=overflowsData.filter(d2=>{if(hasFallbackAxisSideDirection){const currentSideAxis=getSideAxis(d2.placement);return currentSideAxis===initialSideAxis||currentSideAxis==="y"}return!0}).map(d2=>[d2.placement,d2.overflows.filter(overflow2=>overflow2> +0).reduce((acc,overflow2)=>acc+overflow2,0)]).sort((a,b)=>a[1]-b[1])[0])==null?void 0:_overflowsData$filter2[0];placement2&&(resetPlacement=placement2);break}case"initialPlacement":resetPlacement=initialPlacement;break}if(placement!==resetPlacement)return{reset:{placement:resetPlacement}}}return{}}}};function getSideOffsets(overflow,rect){return{top:overflow.top-rect.height,right:overflow.right-rect.width,bottom:overflow.bottom-rect.height,left:overflow.left-rect.width}}function isAnySideFullyClipped(overflow){ +return sides.some(side=>overflow[side]>=0)}const hide$1=function(options){return options===void 0&&(options={}),{name:"hide",options,async fn(state2){const{rects}=state2,{strategy="referenceHidden",...detectOverflowOptions}=evaluate(options,state2);switch(strategy){case"referenceHidden":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,elementContext:"reference"}),offsets=getSideOffsets(overflow,rects.reference);return{data:{referenceHiddenOffsets:offsets,referenceHidden:isAnySideFullyClipped( +offsets)}}}case"escaped":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,altBoundary:!0}),offsets=getSideOffsets(overflow,rects.floating);return{data:{escapedOffsets:offsets,escaped:isAnySideFullyClipped(offsets)}}}default:return{}}}}},originSides=new Set(["left","top"]);async function convertValueToCoords(state2,options){const{placement,platform:platform2,elements}=state2,rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating)),side=getSide$1(placement),alignment=getAlignment( +placement),isVertical=getSideAxis(placement)==="y",mainAxisMulti=originSides.has(side)?-1:1,crossAxisMulti=rtl&&isVertical?-1:1,rawValue=evaluate(options,state2);let{mainAxis,crossAxis,alignmentAxis}=typeof rawValue=="number"?{mainAxis:rawValue,crossAxis:0,alignmentAxis:null}:{mainAxis:rawValue.mainAxis||0,crossAxis:rawValue.crossAxis||0,alignmentAxis:rawValue.alignmentAxis};return alignment&&typeof alignmentAxis=="number"&&(crossAxis=alignment==="end"?alignmentAxis*-1:alignmentAxis),isVertical? +{x:crossAxis*crossAxisMulti,y:mainAxis*mainAxisMulti}:{x:mainAxis*mainAxisMulti,y:crossAxis*crossAxisMulti}}const offset$1=function(options){return options===void 0&&(options=0),{name:"offset",options,async fn(state2){var _middlewareData$offse,_middlewareData$arrow;const{x,y,placement,middlewareData}=state2,diffCoords=await convertValueToCoords(state2,options);return placement===((_middlewareData$offse=middlewareData.offset)==null?void 0:_middlewareData$offse.placement)&&(_middlewareData$arrow=middlewareData. +arrow)!=null&&_middlewareData$arrow.alignmentOffset?{}:{x:x+diffCoords.x,y:y+diffCoords.y,data:{...diffCoords,placement}}}}},shift$1=function(options){return options===void 0&&(options={}),{name:"shift",options,async fn(state2){const{x,y,placement}=state2,{mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!1,limiter={fn:_ref=>{let{x:x2,y:y2}=_ref;return{x:x2,y:y2}}},...detectOverflowOptions}=evaluate(options,state2),coords={x,y},overflow=await detectOverflow(state2,detectOverflowOptions),crossAxis=getSideAxis( +getSide$1(placement)),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];if(checkMainAxis){const minSide=mainAxis==="y"?"top":"left",maxSide=mainAxis==="y"?"bottom":"right",min2=mainAxisCoord+overflow[minSide],max2=mainAxisCoord-overflow[maxSide];mainAxisCoord=clamp$1(min2,mainAxisCoord,max2)}if(checkCrossAxis){const minSide=crossAxis==="y"?"top":"left",maxSide=crossAxis==="y"?"bottom":"right",min2=crossAxisCoord+overflow[minSide],max2=crossAxisCoord- +overflow[maxSide];crossAxisCoord=clamp$1(min2,crossAxisCoord,max2)}const limitedCoords=limiter.fn({...state2,[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord});return{...limitedCoords,data:{x:limitedCoords.x-x,y:limitedCoords.y-y,enabled:{[mainAxis]:checkMainAxis,[crossAxis]:checkCrossAxis}}}}}},limitShift$1=function(options){return options===void 0&&(options={}),{options,fn(state2){const{x,y,placement,rects,middlewareData}=state2,{offset:offset2=0,mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!0}=evaluate( +options,state2),coords={x,y},crossAxis=getSideAxis(placement),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];const rawOffset=evaluate(offset2,state2),computedOffset=typeof rawOffset=="number"?{mainAxis:rawOffset,crossAxis:0}:{mainAxis:0,crossAxis:0,...rawOffset};if(checkMainAxis){const len=mainAxis==="y"?"height":"width",limitMin=rects.reference[mainAxis]-rects.floating[len]+computedOffset.mainAxis,limitMax=rects.reference[mainAxis]+rects. +reference[len]-computedOffset.mainAxis;mainAxisCoordlimitMax&&(mainAxisCoord=limitMax)}if(checkCrossAxis){var _middlewareData$offse,_middlewareData$offse2;const len=mainAxis==="y"?"width":"height",isOriginSide=originSides.has(getSide$1(placement)),limitMin=rects.reference[crossAxis]-rects.floating[len]+(isOriginSide&&((_middlewareData$offse=middlewareData.offset)==null?void 0:_middlewareData$offse[crossAxis])||0)+(isOriginSide?0:computedOffset.crossAxis), +limitMax=rects.reference[crossAxis]+rects.reference[len]+(isOriginSide?0:((_middlewareData$offse2=middlewareData.offset)==null?void 0:_middlewareData$offse2[crossAxis])||0)-(isOriginSide?computedOffset.crossAxis:0);crossAxisCoordlimitMax&&(crossAxisCoord=limitMax)}return{[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord}}}},size$1=function(options){return options===void 0&&(options={}),{name:"size",options,async fn(state2){var _state$middlewareData, +_state$middlewareData2;const{placement,rects,platform:platform2,elements}=state2,{apply=()=>{},...detectOverflowOptions}=evaluate(options,state2),overflow=await detectOverflow(state2,detectOverflowOptions),side=getSide$1(placement),alignment=getAlignment(placement),isYAxis=getSideAxis(placement)==="y",{width,height}=rects.floating;let heightSide,widthSide;side==="top"||side==="bottom"?(heightSide=side,widthSide=alignment===(await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating))?"\ +start":"end")?"left":"right"):(widthSide=side,heightSide=alignment==="end"?"top":"bottom");const maximumClippingHeight=height-overflow.top-overflow.bottom,maximumClippingWidth=width-overflow.left-overflow.right,overflowAvailableHeight=min(height-overflow[heightSide],maximumClippingHeight),overflowAvailableWidth=min(width-overflow[widthSide],maximumClippingWidth),noShift=!state2.middlewareData.shift;let availableHeight=overflowAvailableHeight,availableWidth=overflowAvailableWidth;if((_state$middlewareData= +state2.middlewareData.shift)!=null&&_state$middlewareData.enabled.x&&(availableWidth=maximumClippingWidth),(_state$middlewareData2=state2.middlewareData.shift)!=null&&_state$middlewareData2.enabled.y&&(availableHeight=maximumClippingHeight),noShift&&!alignment){const xMin=max(overflow.left,0),xMax=max(overflow.right,0),yMin=max(overflow.top,0),yMax=max(overflow.bottom,0);isYAxis?availableWidth=width-2*(xMin!==0||xMax!==0?xMin+xMax:max(overflow.left,overflow.right)):availableHeight=height-2*(yMin!== +0||yMax!==0?yMin+yMax:max(overflow.top,overflow.bottom))}await apply({...state2,availableWidth,availableHeight});const nextDimensions=await platform2.getDimensions(elements.floating);return width!==nextDimensions.width||height!==nextDimensions.height?{reset:{rects:!0}}:{}}}};function hasWindow(){return typeof window<"u"}function getNodeName(node2){return isNode(node2)?(node2.nodeName||"").toLowerCase():"#document"}function getWindow(node2){var _node$ownerDocument;return(node2==null||(_node$ownerDocument= +node2.ownerDocument)==null?void 0:_node$ownerDocument.defaultView)||window}function getDocumentElement(node2){var _ref;return(_ref=(isNode(node2)?node2.ownerDocument:node2.document)||window.document)==null?void 0:_ref.documentElement}function isNode(value){return hasWindow()?value instanceof Node||value instanceof getWindow(value).Node:!1}function isElement(value){return hasWindow()?value instanceof Element||value instanceof getWindow(value).Element:!1}function isHTMLElement(value){return hasWindow()? +value instanceof HTMLElement||value instanceof getWindow(value).HTMLElement:!1}function isShadowRoot(value){return!hasWindow()||typeof ShadowRoot>"u"?!1:value instanceof ShadowRoot||value instanceof getWindow(value).ShadowRoot}const invalidOverflowDisplayValues=new Set(["inline","contents"]);function isOverflowElement(element2){const{overflow,overflowX,overflowY,display}=getComputedStyle$1(element2);return/auto|scroll|overlay|hidden|clip/.test(overflow+overflowY+overflowX)&&!invalidOverflowDisplayValues. +has(display)}const tableElements=new Set(["table","td","th"]);function isTableElement(element2){return tableElements.has(getNodeName(element2))}const topLayerSelectors=[":popover-open",":modal"];function isTopLayer(element2){return topLayerSelectors.some(selector=>{try{return element2.matches(selector)}catch{return!1}})}const transformProperties=["transform","translate","scale","rotate","perspective"],willChangeValues=["transform","translate","scale","rotate","perspective","filter"],containValues=[ +"paint","layout","strict","content"];function isContainingBlock(elementOrCss){const webkit=isWebKit(),css2=isElement(elementOrCss)?getComputedStyle$1(elementOrCss):elementOrCss;return transformProperties.some(value=>css2[value]?css2[value]!=="none":!1)||(css2.containerType?css2.containerType!=="normal":!1)||!webkit&&(css2.backdropFilter?css2.backdropFilter!=="none":!1)||!webkit&&(css2.filter?css2.filter!=="none":!1)||willChangeValues.some(value=>(css2.willChange||"").includes(value))||containValues. +some(value=>(css2.contain||"").includes(value))}function getContainingBlock(element2){let currentNode=getParentNode(element2);for(;isHTMLElement(currentNode)&&!isLastTraversableNode(currentNode);){if(isContainingBlock(currentNode))return currentNode;if(isTopLayer(currentNode))return null;currentNode=getParentNode(currentNode)}return null}function isWebKit(){return typeof CSS>"u"||!CSS.supports?!1:CSS.supports("-webkit-backdrop-filter","none")}const lastTraversableNodeNames=new Set(["html","body", +"#document"]);function isLastTraversableNode(node2){return lastTraversableNodeNames.has(getNodeName(node2))}function getComputedStyle$1(element2){return getWindow(element2).getComputedStyle(element2)}function getNodeScroll(element2){return isElement(element2)?{scrollLeft:element2.scrollLeft,scrollTop:element2.scrollTop}:{scrollLeft:element2.scrollX,scrollTop:element2.scrollY}}function getParentNode(node2){if(getNodeName(node2)==="html")return node2;const result=node2.assignedSlot||node2.parentNode|| +isShadowRoot(node2)&&node2.host||getDocumentElement(node2);return isShadowRoot(result)?result.host:result}function getNearestOverflowAncestor(node2){const parentNode=getParentNode(node2);return isLastTraversableNode(parentNode)?node2.ownerDocument?node2.ownerDocument.body:node2.body:isHTMLElement(parentNode)&&isOverflowElement(parentNode)?parentNode:getNearestOverflowAncestor(parentNode)}function getOverflowAncestors(node2,list2,traverseIframes){var _node$ownerDocument2;list2===void 0&&(list2=[]), +traverseIframes===void 0&&(traverseIframes=!0);const scrollableAncestor=getNearestOverflowAncestor(node2),isBody=scrollableAncestor===((_node$ownerDocument2=node2.ownerDocument)==null?void 0:_node$ownerDocument2.body),win=getWindow(scrollableAncestor);if(isBody){const frameElement=getFrameElement(win);return list2.concat(win,win.visualViewport||[],isOverflowElement(scrollableAncestor)?scrollableAncestor:[],frameElement&&traverseIframes?getOverflowAncestors(frameElement):[])}return list2.concat(scrollableAncestor, +getOverflowAncestors(scrollableAncestor,[],traverseIframes))}function getFrameElement(win){return win.parent&&Object.getPrototypeOf(win.parent)?win.frameElement:null}function getCssDimensions(element2){const css2=getComputedStyle$1(element2);let width=parseFloat(css2.width)||0,height=parseFloat(css2.height)||0;const hasOffset=isHTMLElement(element2),offsetWidth=hasOffset?element2.offsetWidth:width,offsetHeight=hasOffset?element2.offsetHeight:height,shouldFallback=round(width)!==offsetWidth||round( +height)!==offsetHeight;return shouldFallback&&(width=offsetWidth,height=offsetHeight),{width,height,$:shouldFallback}}function unwrapElement(element2){return isElement(element2)?element2:element2.contextElement}function getScale(element2){const domElement=unwrapElement(element2);if(!isHTMLElement(domElement))return createCoords(1);const rect=domElement.getBoundingClientRect(),{width,height,$}=getCssDimensions(domElement);let x=($?round(rect.width):rect.width)/width,y=($?round(rect.height):rect.height)/ +height;return(!x||!Number.isFinite(x))&&(x=1),(!y||!Number.isFinite(y))&&(y=1),{x,y}}const noOffsets=createCoords(0);function getVisualOffsets(element2){const win=getWindow(element2);return!isWebKit()||!win.visualViewport?noOffsets:{x:win.visualViewport.offsetLeft,y:win.visualViewport.offsetTop}}function shouldAddVisualOffsets(element2,isFixed,floatingOffsetParent){return isFixed===void 0&&(isFixed=!1),!floatingOffsetParent||isFixed&&floatingOffsetParent!==getWindow(element2)?!1:isFixed}function getBoundingClientRect(element2,includeScale,isFixedStrategy,offsetParent){ +includeScale===void 0&&(includeScale=!1),isFixedStrategy===void 0&&(isFixedStrategy=!1);const clientRect=element2.getBoundingClientRect(),domElement=unwrapElement(element2);let scale2=createCoords(1);includeScale&&(offsetParent?isElement(offsetParent)&&(scale2=getScale(offsetParent)):scale2=getScale(element2));const visualOffsets=shouldAddVisualOffsets(domElement,isFixedStrategy,offsetParent)?getVisualOffsets(domElement):createCoords(0);let x=(clientRect.left+visualOffsets.x)/scale2.x,y=(clientRect. +top+visualOffsets.y)/scale2.y,width=clientRect.width/scale2.x,height=clientRect.height/scale2.y;if(domElement){const win=getWindow(domElement),offsetWin=offsetParent&&isElement(offsetParent)?getWindow(offsetParent):offsetParent;let currentWin=win,currentIFrame=getFrameElement(currentWin);for(;currentIFrame&&offsetParent&&offsetWin!==currentWin;){const iframeScale=getScale(currentIFrame),iframeRect=currentIFrame.getBoundingClientRect(),css2=getComputedStyle$1(currentIFrame),left=iframeRect.left+(currentIFrame. +clientLeft+parseFloat(css2.paddingLeft))*iframeScale.x,top=iframeRect.top+(currentIFrame.clientTop+parseFloat(css2.paddingTop))*iframeScale.y;x*=iframeScale.x,y*=iframeScale.y,width*=iframeScale.x,height*=iframeScale.y,x+=left,y+=top,currentWin=getWindow(currentIFrame),currentIFrame=getFrameElement(currentWin)}}return rectToClientRect({width,height,x,y})}function getWindowScrollBarX(element2,rect){const leftScroll=getNodeScroll(element2).scrollLeft;return rect?rect.left+leftScroll:getBoundingClientRect( +getDocumentElement(element2)).left+leftScroll}function getHTMLOffset(documentElement,scroll,ignoreScrollbarX){ignoreScrollbarX===void 0&&(ignoreScrollbarX=!1);const htmlRect=documentElement.getBoundingClientRect(),x=htmlRect.left+scroll.scrollLeft-(ignoreScrollbarX?0:getWindowScrollBarX(documentElement,htmlRect)),y=htmlRect.top+scroll.scrollTop;return{x,y}}function convertOffsetParentRelativeRectToViewportRelativeRect(_ref){let{elements,rect,offsetParent,strategy}=_ref;const isFixed=strategy==="\ +fixed",documentElement=getDocumentElement(offsetParent),topLayer=elements?isTopLayer(elements.floating):!1;if(offsetParent===documentElement||topLayer&&isFixed)return rect;let scroll={scrollLeft:0,scrollTop:0},scale2=createCoords(1);const offsets=createCoords(0),isOffsetParentAnElement=isHTMLElement(offsetParent);if((isOffsetParentAnElement||!isOffsetParentAnElement&&!isFixed)&&((getNodeName(offsetParent)!=="body"||isOverflowElement(documentElement))&&(scroll=getNodeScroll(offsetParent)),isHTMLElement( +offsetParent))){const offsetRect=getBoundingClientRect(offsetParent);scale2=getScale(offsetParent),offsets.x=offsetRect.x+offsetParent.clientLeft,offsets.y=offsetRect.y+offsetParent.clientTop}const htmlOffset=documentElement&&!isOffsetParentAnElement&&!isFixed?getHTMLOffset(documentElement,scroll,!0):createCoords(0);return{width:rect.width*scale2.x,height:rect.height*scale2.y,x:rect.x*scale2.x-scroll.scrollLeft*scale2.x+offsets.x+htmlOffset.x,y:rect.y*scale2.y-scroll.scrollTop*scale2.y+offsets.y+ +htmlOffset.y}}function getClientRects(element2){return Array.from(element2.getClientRects())}function getDocumentRect(element2){const html2=getDocumentElement(element2),scroll=getNodeScroll(element2),body2=element2.ownerDocument.body,width=max(html2.scrollWidth,html2.clientWidth,body2.scrollWidth,body2.clientWidth),height=max(html2.scrollHeight,html2.clientHeight,body2.scrollHeight,body2.clientHeight);let x=-scroll.scrollLeft+getWindowScrollBarX(element2);const y=-scroll.scrollTop;return getComputedStyle$1( +body2).direction==="rtl"&&(x+=max(html2.clientWidth,body2.clientWidth)-width),{width,height,x,y}}function getViewportRect(element2,strategy){const win=getWindow(element2),html2=getDocumentElement(element2),visualViewport=win.visualViewport;let width=html2.clientWidth,height=html2.clientHeight,x=0,y=0;if(visualViewport){width=visualViewport.width,height=visualViewport.height;const visualViewportBased=isWebKit();(!visualViewportBased||visualViewportBased&&strategy==="fixed")&&(x=visualViewport.offsetLeft, +y=visualViewport.offsetTop)}return{width,height,x,y}}const absoluteOrFixed=new Set(["absolute","fixed"]);function getInnerBoundingClientRect(element2,strategy){const clientRect=getBoundingClientRect(element2,!0,strategy==="fixed"),top=clientRect.top+element2.clientTop,left=clientRect.left+element2.clientLeft,scale2=isHTMLElement(element2)?getScale(element2):createCoords(1),width=element2.clientWidth*scale2.x,height=element2.clientHeight*scale2.y,x=left*scale2.x,y=top*scale2.y;return{width,height, +x,y}}function getClientRectFromClippingAncestor(element2,clippingAncestor,strategy){let rect;if(clippingAncestor==="viewport")rect=getViewportRect(element2,strategy);else if(clippingAncestor==="document")rect=getDocumentRect(getDocumentElement(element2));else if(isElement(clippingAncestor))rect=getInnerBoundingClientRect(clippingAncestor,strategy);else{const visualOffsets=getVisualOffsets(element2);rect={x:clippingAncestor.x-visualOffsets.x,y:clippingAncestor.y-visualOffsets.y,width:clippingAncestor. +width,height:clippingAncestor.height}}return rectToClientRect(rect)}function hasFixedPositionAncestor(element2,stopNode){const parentNode=getParentNode(element2);return parentNode===stopNode||!isElement(parentNode)||isLastTraversableNode(parentNode)?!1:getComputedStyle$1(parentNode).position==="fixed"||hasFixedPositionAncestor(parentNode,stopNode)}function getClippingElementAncestors(element2,cache2){const cachedResult=cache2.get(element2);if(cachedResult)return cachedResult;let result=getOverflowAncestors( +element2,[],!1).filter(el=>isElement(el)&&getNodeName(el)!=="body"),currentContainingBlockComputedStyle=null;const elementIsFixed=getComputedStyle$1(element2).position==="fixed";let currentNode=elementIsFixed?getParentNode(element2):element2;for(;isElement(currentNode)&&!isLastTraversableNode(currentNode);){const computedStyle=getComputedStyle$1(currentNode),currentNodeIsContaining=isContainingBlock(currentNode);!currentNodeIsContaining&&computedStyle.position==="fixed"&&(currentContainingBlockComputedStyle= +null),(elementIsFixed?!currentNodeIsContaining&&!currentContainingBlockComputedStyle:!currentNodeIsContaining&&computedStyle.position==="static"&&!!currentContainingBlockComputedStyle&&absoluteOrFixed.has(currentContainingBlockComputedStyle.position)||isOverflowElement(currentNode)&&!currentNodeIsContaining&&hasFixedPositionAncestor(element2,currentNode))?result=result.filter(ancestor=>ancestor!==currentNode):currentContainingBlockComputedStyle=computedStyle,currentNode=getParentNode(currentNode)} +return cache2.set(element2,result),result}function getClippingRect(_ref){let{element:element2,boundary:boundary2,rootBoundary,strategy}=_ref;const clippingAncestors=[...boundary2==="clippingAncestors"?isTopLayer(element2)?[]:getClippingElementAncestors(element2,this._c):[].concat(boundary2),rootBoundary],firstClippingAncestor=clippingAncestors[0],clippingRect=clippingAncestors.reduce((accRect,clippingAncestor)=>{const rect=getClientRectFromClippingAncestor(element2,clippingAncestor,strategy);return accRect. +top=max(rect.top,accRect.top),accRect.right=min(rect.right,accRect.right),accRect.bottom=min(rect.bottom,accRect.bottom),accRect.left=max(rect.left,accRect.left),accRect},getClientRectFromClippingAncestor(element2,firstClippingAncestor,strategy));return{width:clippingRect.right-clippingRect.left,height:clippingRect.bottom-clippingRect.top,x:clippingRect.left,y:clippingRect.top}}function getDimensions(element2){const{width,height}=getCssDimensions(element2);return{width,height}}function getRectRelativeToOffsetParent(element2,offsetParent,strategy){ +const isOffsetParentAnElement=isHTMLElement(offsetParent),documentElement=getDocumentElement(offsetParent),isFixed=strategy==="fixed",rect=getBoundingClientRect(element2,!0,isFixed,offsetParent);let scroll={scrollLeft:0,scrollTop:0};const offsets=createCoords(0);function setLeftRTLScrollbarOffset(){offsets.x=getWindowScrollBarX(documentElement)}if(isOffsetParentAnElement||!isOffsetParentAnElement&&!isFixed)if((getNodeName(offsetParent)!=="body"||isOverflowElement(documentElement))&&(scroll=getNodeScroll( +offsetParent)),isOffsetParentAnElement){const offsetRect=getBoundingClientRect(offsetParent,!0,isFixed,offsetParent);offsets.x=offsetRect.x+offsetParent.clientLeft,offsets.y=offsetRect.y+offsetParent.clientTop}else documentElement&&setLeftRTLScrollbarOffset();isFixed&&!isOffsetParentAnElement&&documentElement&&setLeftRTLScrollbarOffset();const htmlOffset=documentElement&&!isOffsetParentAnElement&&!isFixed?getHTMLOffset(documentElement,scroll):createCoords(0),x=rect.left+scroll.scrollLeft-offsets. +x-htmlOffset.x,y=rect.top+scroll.scrollTop-offsets.y-htmlOffset.y;return{x,y,width:rect.width,height:rect.height}}function isStaticPositioned(element2){return getComputedStyle$1(element2).position==="static"}function getTrueOffsetParent(element2,polyfill){if(!isHTMLElement(element2)||getComputedStyle$1(element2).position==="fixed")return null;if(polyfill)return polyfill(element2);let rawOffsetParent=element2.offsetParent;return getDocumentElement(element2)===rawOffsetParent&&(rawOffsetParent=rawOffsetParent. +ownerDocument.body),rawOffsetParent}function getOffsetParent(element2,polyfill){const win=getWindow(element2);if(isTopLayer(element2))return win;if(!isHTMLElement(element2)){let svgOffsetParent=getParentNode(element2);for(;svgOffsetParent&&!isLastTraversableNode(svgOffsetParent);){if(isElement(svgOffsetParent)&&!isStaticPositioned(svgOffsetParent))return svgOffsetParent;svgOffsetParent=getParentNode(svgOffsetParent)}return win}let offsetParent=getTrueOffsetParent(element2,polyfill);for(;offsetParent&& +isTableElement(offsetParent)&&isStaticPositioned(offsetParent);)offsetParent=getTrueOffsetParent(offsetParent,polyfill);return offsetParent&&isLastTraversableNode(offsetParent)&&isStaticPositioned(offsetParent)&&!isContainingBlock(offsetParent)?win:offsetParent||getContainingBlock(element2)||win}const getElementRects=async function(data){const getOffsetParentFn=this.getOffsetParent||getOffsetParent,getDimensionsFn=this.getDimensions,floatingDimensions=await getDimensionsFn(data.floating);return{ +reference:getRectRelativeToOffsetParent(data.reference,await getOffsetParentFn(data.floating),data.strategy),floating:{x:0,y:0,width:floatingDimensions.width,height:floatingDimensions.height}}};function isRTL(element2){return getComputedStyle$1(element2).direction==="rtl"}const platform={convertOffsetParentRelativeRectToViewportRelativeRect,getDocumentElement,getClippingRect,getOffsetParent,getElementRects,getClientRects,getDimensions,getScale,isElement,isRTL};function rectsAreEqual(a,b){return a. +x===b.x&&a.y===b.y&&a.width===b.width&&a.height===b.height}function observeMove(element2,onMove){let io=null,timeoutId;const root2=getDocumentElement(element2);function cleanup(){var _io;clearTimeout(timeoutId),(_io=io)==null||_io.disconnect(),io=null}function refresh(skip,threshold){skip===void 0&&(skip=!1),threshold===void 0&&(threshold=1),cleanup();const elementRectForRootMargin=element2.getBoundingClientRect(),{left,top,width,height}=elementRectForRootMargin;if(skip||onMove(),!width||!height) +return;const insetTop=floor(top),insetRight=floor(root2.clientWidth-(left+width)),insetBottom=floor(root2.clientHeight-(top+height)),insetLeft=floor(left),options={rootMargin:-insetTop+"px "+-insetRight+"px "+-insetBottom+"px "+-insetLeft+"px",threshold:max(0,min(1,threshold))||1};let isFirstUpdate=!0;function handleObserve(entries){const ratio=entries[0].intersectionRatio;if(ratio!==threshold){if(!isFirstUpdate)return refresh();ratio?refresh(!1,ratio):timeoutId=setTimeout(()=>{refresh(!1,1e-7)}, +1e3)}ratio===1&&!rectsAreEqual(elementRectForRootMargin,element2.getBoundingClientRect())&&refresh(),isFirstUpdate=!1}try{io=new IntersectionObserver(handleObserve,{...options,root:root2.ownerDocument})}catch{io=new IntersectionObserver(handleObserve,options)}io.observe(element2)}return refresh(!0),cleanup}function autoUpdate(reference,floating,update2,options){options===void 0&&(options={});const{ancestorScroll=!0,ancestorResize=!0,elementResize=typeof ResizeObserver=="function",layoutShift=typeof IntersectionObserver== +"function",animationFrame=!1}=options,referenceEl=unwrapElement(reference),ancestors=ancestorScroll||ancestorResize?[...referenceEl?getOverflowAncestors(referenceEl):[],...getOverflowAncestors(floating)]:[];ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.addEventListener("scroll",update2,{passive:!0}),ancestorResize&&ancestor.addEventListener("resize",update2)});const cleanupIo=referenceEl&&layoutShift?observeMove(referenceEl,update2):null;let reobserveFrame=-1,resizeObserver=null;elementResize&& +(resizeObserver=new ResizeObserver(_ref=>{let[firstEntry]=_ref;firstEntry&&firstEntry.target===referenceEl&&resizeObserver&&(resizeObserver.unobserve(floating),cancelAnimationFrame(reobserveFrame),reobserveFrame=requestAnimationFrame(()=>{var _resizeObserver;(_resizeObserver=resizeObserver)==null||_resizeObserver.observe(floating)})),update2()}),referenceEl&&!animationFrame&&resizeObserver.observe(referenceEl),resizeObserver.observe(floating));let frameId,prevRefRect=animationFrame?getBoundingClientRect( +reference):null;animationFrame&&frameLoop();function frameLoop(){const nextRefRect=getBoundingClientRect(reference);prevRefRect&&!rectsAreEqual(prevRefRect,nextRefRect)&&update2(),prevRefRect=nextRefRect,frameId=requestAnimationFrame(frameLoop)}return update2(),()=>{var _resizeObserver2;ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.removeEventListener("scroll",update2),ancestorResize&&ancestor.removeEventListener("resize",update2)}),cleanupIo?.(),(_resizeObserver2=resizeObserver)==null|| +_resizeObserver2.disconnect(),resizeObserver=null,animationFrame&&cancelAnimationFrame(frameId)}}const offset=offset$1,shift=shift$1,flip=flip$1,size=size$1,hide=hide$1,arrow=arrow$1,limitShift=limitShift$1,computePosition=(reference,floating,options)=>{const cache2=new Map,mergedOptions={platform,...options},platformWithCache={...mergedOptions.platform,_c:cache2};return computePosition$1(reference,floating,{...mergedOptions,platform:platformWithCache})};function get(valueOrGetValue){return typeof valueOrGetValue== +"function"?valueOrGetValue():valueOrGetValue}function getDPR(element2){return typeof window>"u"?1:(element2.ownerDocument.defaultView||window).devicePixelRatio||1}function roundByDPR(element2,value){const dpr=getDPR(element2);return Math.round(value*dpr)/dpr}function getFloatingContentCSSVars(name){return{[`--bits-${name}-content-transform-origin`]:"var(--bits-floating-transform-origin)",[`--bits-${name}-content-available-width`]:"var(--bits-floating-available-width)",[`--bits-${name}-content-av\ +ailable-height`]:"var(--bits-floating-available-height)",[`--bits-${name}-anchor-width`]:"var(--bits-floating-anchor-width)",[`--bits-${name}-anchor-height`]:"var(--bits-floating-anchor-height)"}}function useFloating(options){const whileElementsMountedOption=options.whileElementsMounted,openOption=user_derived(()=>get(options.open)??!0),middlewareOption=user_derived(()=>get(options.middleware)),transformOption=user_derived(()=>get(options.transform)??!0),placementOption=user_derived(()=>get(options. +placement)??"bottom"),strategyOption=user_derived(()=>get(options.strategy)??"absolute"),sideOffsetOption=user_derived(()=>get(options.sideOffset)??0),alignOffsetOption=user_derived(()=>get(options.alignOffset)??0),reference=options.reference;let x=state$1(0),y=state$1(0);const floating=simpleBox(null);let strategy=state$1(proxy(get$3(strategyOption))),placement=state$1(proxy(get$3(placementOption))),middlewareData=state$1(proxy({})),isPositioned=state$1(!1),hasWhileMountedPosition=!1,updateRequestId=0; +const floatingStyles=user_derived(()=>{const xVal=floating.current?roundByDPR(floating.current,get$3(x)):get$3(x),yVal=floating.current?roundByDPR(floating.current,get$3(y)):get$3(y);return get$3(transformOption)?{position:get$3(strategy),left:"0",top:"0",transform:`translate(${xVal}px, ${yVal}px)`,...floating.current&&getDPR(floating.current)>=1.5&&{willChange:"transform"}}:{position:get$3(strategy),left:`${xVal}px`,top:`${yVal}px`}});let whileElementsMountedCleanup;function update2(){if(reference. +current===null||floating.current===null)return;const referenceNode=reference.current,floatingNode=floating.current,requestId=++updateRequestId;computePosition(referenceNode,floatingNode,{middleware:get$3(middlewareOption),placement:get$3(placementOption),strategy:get$3(strategyOption)}).then(position2=>{if(requestId!==updateRequestId||reference.current!==referenceNode||floating.current!==floatingNode)return;if(isReferenceHidden(referenceNode)){set$1(middlewareData,{...get$3(middlewareData),hide:{ +...get$3(middlewareData).hide,referenceHidden:!0}},!0);return}if(!get$3(openOption)&&get$3(x)!==0&&get$3(y)!==0){const maxExpectedOffset=Math.max(Math.abs(get$3(sideOffsetOption)),Math.abs(get$3(alignOffsetOption)),15);if(position2.x<=maxExpectedOffset&&position2.y<=maxExpectedOffset)return}set$1(x,position2.x,!0),set$1(y,position2.y,!0),set$1(strategy,position2.strategy,!0),set$1(placement,position2.placement,!0),set$1(middlewareData,position2.middlewareData,!0),set$1(isPositioned,!0)})}function cleanup(){ +typeof whileElementsMountedCleanup=="function"&&(whileElementsMountedCleanup(),whileElementsMountedCleanup=void 0),updateRequestId++}function attach2(){if(cleanup(),whileElementsMountedOption===void 0){update2();return}get$3(openOption)&&(reference.current===null||floating.current===null||(whileElementsMountedCleanup=whileElementsMountedOption(reference.current,floating.current,update2)))}function reset2(){!get$3(openOption)&&floating.current===null&&set$1(isPositioned,!1)}function trackWhileMountedDeps(){ +return[get$3(middlewareOption),get$3(placementOption),get$3(strategyOption),get$3(sideOffsetOption),get$3(alignOffsetOption),get$3(openOption)]}return user_effect(()=>{whileElementsMountedOption===void 0&&get$3(openOption)&&update2()}),user_effect(attach2),user_effect(()=>{if(whileElementsMountedOption!==void 0){if(trackWhileMountedDeps(),!get$3(openOption)){hasWhileMountedPosition=!1;return}if(!get$3(isPositioned)){hasWhileMountedPosition=!1;return}if(!hasWhileMountedPosition){hasWhileMountedPosition= +!0;return}update2()}}),user_effect(reset2),user_effect(()=>cleanup),{floating,reference,get strategy(){return get$3(strategy)},get placement(){return get$3(placement)},get middlewareData(){return get$3(middlewareData)},get isPositioned(){return get$3(isPositioned)},get floatingStyles(){return get$3(floatingStyles)},get update(){return update2}}}function isReferenceHidden(node2){return node2 instanceof Element?!node2.isConnected||node2 instanceof HTMLElement&&node2.hidden?!0:node2.getClientRects(). +length===0:!1}const OPPOSITE_SIDE={top:"bottom",right:"left",bottom:"top",left:"right"},FloatingRootContext=new Context$1("Floating.Root"),FloatingContentContext=new Context$1("Floating.Content"),FloatingTooltipRootContext=new Context$1("Floating.Root");class FloatingRootState{static create(tooltip=!1){return tooltip?FloatingTooltipRootContext.set(new FloatingRootState):FloatingRootContext.set(new FloatingRootState)}anchorNode=simpleBox(null);customAnchorNode=simpleBox(null);triggerNode=simpleBox( +null);constructor(){user_effect(()=>{this.customAnchorNode.current?typeof this.customAnchorNode.current=="string"?this.anchorNode.current=document.querySelector(this.customAnchorNode.current):this.anchorNode.current=this.customAnchorNode.current:this.anchorNode.current=this.triggerNode.current})}}class FloatingContentState{static create(opts,tooltip=!1){return tooltip?FloatingContentContext.set(new FloatingContentState(opts,FloatingTooltipRootContext.get())):FloatingContentContext.set(new FloatingContentState( +opts,FloatingRootContext.get()))}opts;root;contentRef=simpleBox(null);wrapperRef=simpleBox(null);arrowRef=simpleBox(null);contentAttachment=attachRef(this.contentRef);wrapperAttachment=attachRef(this.wrapperRef);arrowAttachment=attachRef(this.arrowRef);arrowId=simpleBox(useId());#transformedStyle=user_derived(()=>{if(typeof this.opts.style=="string")return cssToStyleObj(this.opts.style);if(!this.opts.style)return{}});#updatePositionStrategy=void 0;#arrowSize=new ElementSize(()=>this.arrowRef.current?? +void 0);#arrowWidth=user_derived(()=>this.#arrowSize?.width??0);#arrowHeight=user_derived(()=>this.#arrowSize?.height??0);#desiredPlacement=user_derived(()=>this.opts.side?.current+(this.opts.align.current!=="center"?`-${this.opts.align.current}`:""));#boundary=user_derived(()=>Array.isArray(this.opts.collisionBoundary.current)?this.opts.collisionBoundary.current:[this.opts.collisionBoundary.current]);#hasExplicitBoundaries=user_derived(()=>get$3(this.#boundary).length>0);get hasExplicitBoundaries(){ +return get$3(this.#hasExplicitBoundaries)}set hasExplicitBoundaries(value){set$1(this.#hasExplicitBoundaries,value)}#detectOverflowOptions=user_derived(()=>({padding:this.opts.collisionPadding.current,boundary:get$3(this.#boundary).filter(isNotNull),altBoundary:this.hasExplicitBoundaries}));get detectOverflowOptions(){return get$3(this.#detectOverflowOptions)}set detectOverflowOptions(value){set$1(this.#detectOverflowOptions,value)}#availableWidth=state$1(void 0);#availableHeight=state$1(void 0);#anchorWidth=state$1( +void 0);#anchorHeight=state$1(void 0);#middleware=user_derived(()=>[offset({mainAxis:this.opts.sideOffset.current+get$3(this.#arrowHeight),alignmentAxis:this.opts.alignOffset.current}),this.opts.avoidCollisions.current&&shift({mainAxis:!0,crossAxis:!1,limiter:this.opts.sticky.current==="partial"?limitShift():void 0,...this.detectOverflowOptions}),this.opts.avoidCollisions.current&&flip({...this.detectOverflowOptions}),size({...this.detectOverflowOptions,apply:({rects,availableWidth,availableHeight})=>{ +const{width:anchorWidth,height:anchorHeight}=rects.reference;set$1(this.#availableWidth,availableWidth,!0),set$1(this.#availableHeight,availableHeight,!0),set$1(this.#anchorWidth,anchorWidth,!0),set$1(this.#anchorHeight,anchorHeight,!0)}}),this.arrowRef.current&&arrow({element:this.arrowRef.current,padding:this.opts.arrowPadding.current}),transformOrigin({arrowWidth:get$3(this.#arrowWidth),arrowHeight:get$3(this.#arrowHeight)}),this.opts.hideWhenDetached.current&&hide({strategy:"referenceHidden", +...this.detectOverflowOptions})].filter(Boolean));get middleware(){return get$3(this.#middleware)}set middleware(value){set$1(this.#middleware,value)}floating;#placedSide=user_derived(()=>getSideFromPlacement(this.floating.placement));get placedSide(){return get$3(this.#placedSide)}set placedSide(value){set$1(this.#placedSide,value)}#placedAlign=user_derived(()=>getAlignFromPlacement(this.floating.placement));get placedAlign(){return get$3(this.#placedAlign)}set placedAlign(value){set$1(this.#placedAlign, +value)}#arrowX=user_derived(()=>this.floating.middlewareData.arrow?.x??0);get arrowX(){return get$3(this.#arrowX)}set arrowX(value){set$1(this.#arrowX,value)}#arrowY=user_derived(()=>this.floating.middlewareData.arrow?.y??0);get arrowY(){return get$3(this.#arrowY)}set arrowY(value){set$1(this.#arrowY,value)}#cannotCenterArrow=user_derived(()=>this.floating.middlewareData.arrow?.centerOffset!==0);get cannotCenterArrow(){return get$3(this.#cannotCenterArrow)}set cannotCenterArrow(value){set$1(this.#cannotCenterArrow, +value)}#contentZIndex=state$1();get contentZIndex(){return get$3(this.#contentZIndex)}set contentZIndex(value){set$1(this.#contentZIndex,value,!0)}#arrowBaseSide=user_derived(()=>OPPOSITE_SIDE[this.placedSide]);get arrowBaseSide(){return get$3(this.#arrowBaseSide)}set arrowBaseSide(value){set$1(this.#arrowBaseSide,value)}#wrapperProps=user_derived(()=>({id:this.opts.wrapperId.current,"data-bits-floating-content-wrapper":"",style:{...this.floating.floatingStyles,transform:this.floating.isPositioned? +this.floating.floatingStyles.transform:"translate(0, -200%)",minWidth:"max-content",zIndex:this.contentZIndex,"--bits-floating-transform-origin":`${this.floating.middlewareData.transformOrigin?.x} ${this.floating.middlewareData.transformOrigin?.y}`,"--bits-floating-available-width":`${get$3(this.#availableWidth)}px`,"--bits-floating-available-height":`${get$3(this.#availableHeight)}px`,"--bits-floating-anchor-width":`${get$3(this.#anchorWidth)}px`,"--bits-floating-anchor-height":`${get$3(this.#anchorHeight)}\ +px`,...this.floating.middlewareData.hide?.referenceHidden&&{visibility:"hidden","pointer-events":"none"},...get$3(this.#transformedStyle)},dir:this.opts.dir.current,...this.wrapperAttachment}));get wrapperProps(){return get$3(this.#wrapperProps)}set wrapperProps(value){set$1(this.#wrapperProps,value)}#props=user_derived(()=>({"data-side":this.placedSide,"data-align":this.placedAlign,style:styleToString$1({...get$3(this.#transformedStyle)}),...this.contentAttachment}));get props(){return get$3(this.#props)}set props(value){ +set$1(this.#props,value)}#arrowStyle=user_derived(()=>({position:"absolute",left:this.arrowX?`${this.arrowX}px`:void 0,top:this.arrowY?`${this.arrowY}px`:void 0,[this.arrowBaseSide]:0,"transform-origin":{top:"",right:"0 0",bottom:"center 0",left:"100% 0"}[this.placedSide],transform:{top:"translateY(100%)",right:"translateY(50%) rotate(90deg) translateX(-50%)",bottom:"rotate(180deg)",left:"translateY(50%) rotate(-90deg) translateX(50%)"}[this.placedSide],visibility:this.cannotCenterArrow?"hidden": +void 0}));get arrowStyle(){return get$3(this.#arrowStyle)}set arrowStyle(value){set$1(this.#arrowStyle,value)}constructor(opts,root2){this.opts=opts,this.root=root2,this.#updatePositionStrategy=opts.updatePositionStrategy,opts.customAnchor&&(this.root.customAnchorNode.current=opts.customAnchor.current),watch$1(()=>opts.customAnchor.current,customAnchor=>{this.root.customAnchorNode.current=customAnchor}),this.floating=useFloating({strategy:()=>this.opts.strategy.current,placement:()=>get$3(this.#desiredPlacement), +middleware:()=>this.middleware,reference:this.root.anchorNode,whileElementsMounted:(...args)=>autoUpdate(...args,{animationFrame:this.#updatePositionStrategy?.current==="always"}),open:()=>this.opts.enabled.current,sideOffset:()=>this.opts.sideOffset.current,alignOffset:()=>this.opts.alignOffset.current}),user_effect(()=>{this.floating.isPositioned&&this.opts.onPlaced?.current()}),watch$1(()=>this.contentRef.current,contentNode=>{if(!contentNode||!this.opts.enabled.current)return;const win=getWindow$1( +contentNode),rafId=win.requestAnimationFrame(()=>{if(this.contentRef.current!==contentNode||!this.opts.enabled.current)return;const zIndex=win.getComputedStyle(contentNode).zIndex;zIndex!==this.contentZIndex&&(this.contentZIndex=zIndex)});return()=>{win.cancelAnimationFrame(rafId)}}),user_effect(()=>{this.floating.floating.current=this.wrapperRef.current})}}class FloatingArrowState{static create(opts){return new FloatingArrowState(opts,FloatingContentContext.get())}opts;content;constructor(opts,content2){ +this.opts=opts,this.content=content2}#props=user_derived(()=>({id:this.opts.id.current,style:this.content.arrowStyle,"data-side":this.content.placedSide,...this.content.arrowAttachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class FloatingAnchorState{static create(opts,tooltip=!1){return tooltip?new FloatingAnchorState(opts,FloatingTooltipRootContext.get()):new FloatingAnchorState(opts,FloatingRootContext.get())}opts;root;constructor(opts,root2){this.opts= +opts,this.root=root2,opts.virtualEl&&opts.virtualEl.current?root2.triggerNode=boxFrom$1(opts.virtualEl.current):root2.triggerNode=opts.ref}}function transformOrigin(options){return{name:"transformOrigin",options,fn(data){const{placement,rects,middlewareData}=data,isArrowHidden=middlewareData.arrow?.centerOffset!==0,arrowWidth=isArrowHidden?0:options.arrowWidth,arrowHeight=isArrowHidden?0:options.arrowHeight,[placedSide,placedAlign]=getSideAndAlignFromPlacement(placement),noArrowAlign={start:"0%", +center:"50%",end:"100%"}[placedAlign],arrowXCenter=(middlewareData.arrow?.x??0)+arrowWidth/2,arrowYCenter=(middlewareData.arrow?.y??0)+arrowHeight/2;let x="",y="";return placedSide==="bottom"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${-arrowHeight}px`):placedSide==="top"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${rects.floating.height+arrowHeight}px`):placedSide==="right"?(x=`${-arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`):placedSide==="left"&&(x=`${rects. +floating.width+arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`),{data:{x,y}}}}}function getSideAndAlignFromPlacement(placement){const[side,align="center"]=placement.split("-");return[side,align]}function getSideFromPlacement(placement){return getSideAndAlignFromPlacement(placement)[0]}function getAlignFromPlacement(placement){return getSideAndAlignFromPlacement(placement)[1]}function Floating_layer($$anchor,$$props){push$1($$props,!0);let tooltip=prop($$props,"tooltip",3,!1);FloatingRootState. +create(tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}class DataTypeahead{#opts;#candidateValues=user_derived(()=>this.#opts.candidateValues());#search;constructor(opts){this.#opts=opts,this.#search=boxAutoReset("",{afterMs:1e3,getWindow:this.#opts.getWindow}),this.handleTypeaheadSearch=this.handleTypeaheadSearch.bind(this),this.resetTypeahead=this.resetTypeahead.bind(this)}handleTypeaheadSearch(key2){if(!this.#opts. +enabled()||!get$3(this.#candidateValues).length)return;this.#search.current=this.#search.current+key2;const currentItem=this.#opts.getCurrentItem(),currentMatch=get$3(this.#candidateValues).find(item=>item===currentItem)??"",values=get$3(this.#candidateValues).map(item=>item??""),nextMatch=getNextMatch(values,this.#search.current,currentMatch),newItem=get$3(this.#candidateValues).find(item=>item===nextMatch);return newItem&&this.#opts.onMatch(newItem),newItem}resetTypeahead(){this.#search.current= +""}}const FIRST_KEYS=[ARROW_DOWN,PAGE_UP,HOME],LAST_KEYS=[ARROW_UP,PAGE_DOWN,END],FIRST_LAST_KEYS=[...FIRST_KEYS,...LAST_KEYS],selectAttrs=createBitsAttrs({component:"select",parts:["trigger","content","item","viewport","scroll-up-button","scroll-down-button","group","group-label","separator","arrow","input","content-wrapper","item-text","value"]}),SelectRootContext=new Context$1("Select.Root | Combobox.Root"),SelectContentContext=new Context$1("Select.Content | Combobox.Content");class SelectBaseRootState{opts;#touchedInput=state$1( +!1);get touchedInput(){return get$3(this.#touchedInput)}set touchedInput(value){set$1(this.#touchedInput,value,!0)}#inputNode=state$1(null);get inputNode(){return get$3(this.#inputNode)}set inputNode(value){set$1(this.#inputNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#viewportNode=state$1(null);get viewportNode(){return get$3(this.#viewportNode)}set viewportNode(value){set$1(this.#viewportNode, +value,!0)}#triggerNode=state$1(null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#valueNode=state$1(null);get valueNode(){return get$3(this.#valueNode)}set valueNode(value){set$1(this.#valueNode,value,!0)}#valueId=state$1("");get valueId(){return get$3(this.#valueId)}set valueId(value){set$1(this.#valueId,value,!0)}#highlightedNode=state$1(null);get highlightedNode(){return get$3(this.#highlightedNode)}set highlightedNode(value){set$1( +this.#highlightedNode,value,!0)}#highlightedValue=user_derived(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-value"):null);get highlightedValue(){return get$3(this.#highlightedValue)}set highlightedValue(value){set$1(this.#highlightedValue,value)}#highlightedId=user_derived(()=>{if(this.highlightedNode)return this.highlightedNode.id});get highlightedId(){return get$3(this.#highlightedId)}set highlightedId(value){set$1(this.#highlightedId,value)}#highlightedLabel=user_derived(()=>this. +highlightedNode?this.highlightedNode.getAttribute("data-label"):null);get highlightedLabel(){return get$3(this.#highlightedLabel)}set highlightedLabel(value){set$1(this.#highlightedLabel,value)}#contentIsPositioned=state$1(!1);get contentIsPositioned(){return get$3(this.#contentIsPositioned)}set contentIsPositioned(value){set$1(this.#contentIsPositioned,value,!0)}isUsingKeyboard=!1;isCombobox=!1;domContext=new DOMContext(()=>null);constructor(opts){this.opts=opts,this.isCombobox=opts.isCombobox, +this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),user_pre_effect(()=>{this.opts.open.current||this.setHighlightedNode(null)})}setHighlightedNode(node2,initial=!1){this.highlightedNode=node2,node2&&(this.isUsingKeyboard||initial)&&this.scrollHighlightedNodeIntoView(node2)}scrollHighlightedNodeIntoView(node2){!this.viewportNode||!this.contentIsPositioned||node2.scrollIntoView( +{block:this.opts.scrollAlignment.current})}getCandidateNodes(){const node2=this.contentNode;return node2?Array.from(node2.querySelectorAll(`[${this.getBitsAttr("item")}]:not([data-disabled])`)):[]}setHighlightedToFirstCandidate(initial=!1){this.setHighlightedNode(null);let nodes2=this.getCandidateNodes();if(nodes2.length){if(this.viewportNode){const viewportRect=this.viewportNode.getBoundingClientRect();nodes2=nodes2.filter(node2=>{if(!this.viewportNode)return!1;const nodeRect=node2.getBoundingClientRect(); +return nodeRect.right<=viewportRect.right&&nodeRect.left>=viewportRect.left&&nodeRect.bottom<=viewportRect.bottom&&nodeRect.top>=viewportRect.top})}this.setHighlightedNode(nodes2[0],initial)}}getNodeByValue(value){return this.getCandidateNodes().find(node2=>node2.dataset.value===value)??null}getLabelForValue(value){if(value==="")return"";const fromItems=this.opts.items.current.find(item=>item.value===value)?.label;if(fromItems!==void 0)return fromItems;const node2=this.getNodeByValue(value);if(node2){ +const dataLabel=node2.getAttribute("data-label");return dataLabel!==null&&dataLabel!==""?dataLabel:node2.textContent?.trim()??value}return value}setOpen(open2){this.opts.open.current=open2}toggleOpen(){this.opts.open.current=!this.opts.open.current}handleOpen(){this.setOpen(!0)}handleClose(){this.setHighlightedNode(null),this.setOpen(!1)}toggleMenu(){this.toggleOpen()}getBitsAttr=part=>selectAttrs.getAttr(part,this.isCombobox?"combobox":void 0)}class SelectSingleRootState extends SelectBaseRootState{opts;isMulti=!1;#hasValue=user_derived( +()=>this.opts.value.current!=="");get hasValue(){return get$3(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,value)}#currentLabel=user_derived(()=>this.opts.items.current.length?this.opts.items.current.find(item=>item.value===this.opts.value.current)?.label??"":"");get currentLabel(){return get$3(this.#currentLabel)}set currentLabel(value){set$1(this.#currentLabel,value)}#candidateLabels=user_derived(()=>this.opts.items.current.length?this.opts.items.current.filter(item=>!item.disabled). +map(item=>item.label):[]);get candidateLabels(){return get$3(this.#candidateLabels)}set candidateLabels(value){set$1(this.#candidateLabels,value)}#dataTypeaheadEnabled=user_derived(()=>!(this.isMulti||this.opts.items.current.length===0));get dataTypeaheadEnabled(){return get$3(this.#dataTypeaheadEnabled)}set dataTypeaheadEnabled(value){set$1(this.#dataTypeaheadEnabled,value)}constructor(opts){super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode( +null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current===itemValue}toggleItem(itemValue,itemLabel=itemValue){const newValue=this.includesItem(itemValue)?"":itemValue;this.opts.value.current=newValue,newValue!==""&&(this.opts.inputValue.current=itemLabel)}setInitialHighlightedNode(){afterTick(()=>{if(!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this. +opts.value.current!==""){const node2=this.getNodeByValue(this.opts.value.current);if(node2){this.setHighlightedNode(node2,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class SelectMultipleRootState extends SelectBaseRootState{opts;isMulti=!0;#hasValue=user_derived(()=>this.opts.value.current.length>0);get hasValue(){return get$3(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,value)}constructor(opts){super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&& +this.setHighlightedNode(null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current.includes(itemValue)}toggleItem(itemValue,itemLabel=itemValue){this.includesItem(itemValue)?this.opts.value.current=this.opts.value.current.filter(v=>v!==itemValue):this.opts.value.current=[...this.opts.value.current,itemValue],this.opts.inputValue.current=itemLabel}setInitialHighlightedNode(){afterTick(()=>{if(this. +domContext&&!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current.length&&this.opts.value.current[0]!==""){const node2=this.getNodeByValue(this.opts.value.current[0]);if(node2){this.setHighlightedNode(node2,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class SelectRootState{static create(props){const{type:type2,...rest}=props,rootState=type2==="single"?new SelectSingleRootState(rest):new SelectMultipleRootState(rest);return SelectRootContext. +set(rootState)}}class SelectTriggerState{static create(opts){return new SelectTriggerState(opts,SelectRootContext.get())}opts;root;attachment;#domTypeahead;#dataTypeahead;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.triggerNode=v),this.root.domContext=new DOMContext(opts.ref),this.#domTypeahead=new DOMTypeahead({getCurrentItem:()=>this.root.highlightedNode,onMatch:node2=>{this.root.setHighlightedNode(node2)},getActiveElement:()=>this.root. +domContext.getActiveElement(),getWindow:()=>this.root.domContext.getWindow()}),this.#dataTypeahead=new DataTypeahead({getCurrentItem:()=>this.root.isMulti?"":this.root.currentLabel,onMatch:label=>{if(this.root.isMulti||!this.root.opts.items.current)return;const matchedItem=this.root.opts.items.current.find(item=>item.label===label);matchedItem&&(this.root.opts.value.current=matchedItem.value)},enabled:()=>!this.root.isMulti&&this.root.dataTypeaheadEnabled,candidateValues:()=>this.root.isMulti?[]: +this.root.candidateLabels,getWindow:()=>this.root.domContext.getWindow()}),this.onkeydown=this.onkeydown.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onclick=this.onclick.bind(this)}#handleOpen(){this.root.opts.open.current=!0,this.#dataTypeahead.resetTypeahead(),this.#domTypeahead.resetTypeahead()}#handlePointerOpen(_){this.#handleOpen()}#handleKeyboardSelection(){const isCurrentSelectedValue=this.root.highlightedValue===this.root. +opts.value.current;return!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti?(this.root.handleClose(),!0):(this.root.highlightedValue!==null&&this.root.toggleItem(this.root.highlightedValue,this.root.highlightedLabel??void 0),!this.root.isMulti&&!isCurrentSelectedValue?(this.root.handleClose(),!0):!1)}onkeydown(e){if(this.root.isUsingKeyboard=!0,(e.key===ARROW_UP||e.key===ARROW_DOWN)&&e.preventDefault(),!this.root.opts.open.current){if(e.key===ENTER||e.key===SPACE|| +e.key===ARROW_DOWN||e.key===ARROW_UP)e.preventDefault(),this.root.handleOpen();else if(!this.root.isMulti&&this.root.dataTypeaheadEnabled){this.#dataTypeahead.handleTypeaheadSearch(e.key);return}if(this.root.hasValue)return;const candidateNodes2=this.root.getCandidateNodes();if(!candidateNodes2.length)return;if(e.key===ARROW_DOWN){const firstCandidate=candidateNodes2[0];this.root.setHighlightedNode(firstCandidate)}else if(e.key===ARROW_UP){const lastCandidate=candidateNodes2[candidateNodes2.length- +1];this.root.setHighlightedNode(lastCandidate)}return}if(e.key===TAB){this.root.handleClose();return}if((e.key===ENTER||e.key===SPACE&&this.#domTypeahead.search==="")&&!e.isComposing&&(e.preventDefault(),this.#handleKeyboardSelection()))return;if(e.key===ARROW_UP&&e.altKey&&this.root.handleClose(),FIRST_LAST_KEYS.includes(e.key)){e.preventDefault();const candidateNodes2=this.root.getCandidateNodes(),currHighlightedNode=this.root.highlightedNode,currIndex=currHighlightedNode?candidateNodes2.indexOf( +currHighlightedNode):-1,loop2=this.root.opts.loop.current;let nextItem;if(e.key===ARROW_DOWN?nextItem=next(candidateNodes2,currIndex,loop2):e.key===ARROW_UP?nextItem=prev(candidateNodes2,currIndex,loop2):e.key===PAGE_DOWN?nextItem=forward(candidateNodes2,currIndex,10,loop2):e.key===PAGE_UP?nextItem=backward(candidateNodes2,currIndex,10,loop2):e.key===HOME?nextItem=candidateNodes2[0]:e.key===END&&(nextItem=candidateNodes2[candidateNodes2.length-1]),!nextItem)return;this.root.setHighlightedNode(nextItem); +return}const isModifierKey=e.ctrlKey||e.altKey||e.metaKey,isCharacterKey=e.key.length===1,isSpaceKey=e.key===SPACE,candidateNodes=this.root.getCandidateNodes();if(e.key!==TAB){if(!isModifierKey&&(isCharacterKey||isSpaceKey)){!this.#domTypeahead.handleTypeaheadSearch(e.key,candidateNodes)&&isSpaceKey&&(e.preventDefault(),this.#handleKeyboardSelection());return}this.root.highlightedNode||this.root.setHighlightedToFirstCandidate()}}onclick(e){e.currentTarget.focus()}onpointerdown(e){if(this.root.opts. +disabled.current)return;if(e.pointerType==="touch")return e.preventDefault();const target2=e.target;target2?.hasPointerCapture(e.pointerId)&&target2?.releasePointerCapture(e.pointerId),e.button===0&&e.ctrlKey===!1&&(this.root.opts.open.current===!1?this.#handlePointerOpen(e):this.root.handleClose())}onpointerup(e){this.root.opts.disabled.current||(e.preventDefault(),e.pointerType==="touch"&&(this.root.opts.open.current===!1?this.#handlePointerOpen(e):this.root.handleClose()))}#props=user_derived( +()=>({id:this.opts.id.current,disabled:this.root.opts.disabled.current?!0:void 0,"aria-haspopup":"listbox","aria-expanded":boolToStr(this.root.opts.open.current),"aria-activedescendant":this.root.highlightedId,"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(this.root.opts.disabled.current),"data-placeholder":this.root.hasValue?void 0:"",[this.root.getBitsAttr("trigger")]:"",onpointerdown:this.onpointerdown,onkeydown:this.onkeydown,onclick:this.onclick, +onpointerup:this.onpointerup,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectContentState{static create(opts){return SelectContentContext.set(new SelectContentState(opts,SelectRootContext.get()))}opts;root;attachment;#isPositioned=state$1(!1);get isPositioned(){return get$3(this.#isPositioned)}set isPositioned(value){set$1(this.#isPositioned,value,!0)}domContext;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment= +attachRef(opts.ref,v=>this.root.contentNode=v),this.domContext=new DOMContext(this.opts.ref),this.root.domContext===null&&(this.root.domContext=this.domContext),onDestroyEffect(()=>{this.root.contentNode=null,this.root.contentIsPositioned=!1,this.isPositioned=!1}),watch$1(()=>this.root.opts.open.current,()=>{this.root.opts.open.current||(this.root.contentIsPositioned=!1,this.isPositioned=!1)}),watch$1([()=>this.isPositioned,()=>this.root.highlightedNode],()=>{!this.isPositioned||!this.root.highlightedNode|| +this.root.scrollHighlightedNodeIntoView(this.root.highlightedNode)}),this.onpointermove=this.onpointermove.bind(this)}onpointermove(_){this.root.isUsingKeyboard=!1}#styles=user_derived(()=>getFloatingContentCSSVars(this.root.isCombobox?"combobox":"select"));onInteractOutside=e=>{if(e.target===this.root.triggerNode||e.target===this.root.inputNode){e.preventDefault();return}this.opts.onInteractOutside.current(e),!e.defaultPrevented&&this.root.handleClose()};onEscapeKeydown=e=>{this.opts.onEscapeKeydown. +current(e),!e.defaultPrevented&&this.root.handleClose()};onOpenAutoFocus=e=>{e.preventDefault()};onCloseAutoFocus=e=>{e.preventDefault()};get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"listbox","aria-multiselectable":this.root.isMulti?"true":void 0, +"data-state":getDataOpenClosed(this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),[this.root.getBitsAttr("content")]:"",style:{display:"flex",flexDirection:"column",outline:"none",boxSizing:"border-box",pointerEvents:"auto",...get$3(this.#styles)},onpointermove:this.onpointermove,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this. +onEscapeKeydown,onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus,trapFocus:!1,loop:!1,onPlaced:()=>{this.root.opts.open.current&&(this.root.contentIsPositioned=!0,this.isPositioned=!0)}}}class SelectItemState{static create(opts){return new SelectItemState(opts,SelectRootContext.get())}opts;root;attachment;#isSelected=user_derived(()=>this.root.includesItem(this.opts.value.current));get isSelected(){return get$3(this.#isSelected)}set isSelected(value){set$1(this.#isSelected, +value)}#isHighlighted=user_derived(()=>this.root.highlightedValue===this.opts.value.current);get isHighlighted(){return get$3(this.#isHighlighted)}set isHighlighted(value){set$1(this.#isHighlighted,value)}prevHighlighted=new Previous(()=>this.isHighlighted);#mounted=state$1(!1);get mounted(){return get$3(this.#mounted)}set mounted(value){set$1(this.#mounted,value,!0)}constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref),watch$1([()=>this.isHighlighted,()=>this. +prevHighlighted.current],()=>{this.isHighlighted?this.opts.onHighlight.current():this.prevHighlighted.current&&this.opts.onUnhighlight.current()}),watch$1(()=>this.mounted,()=>{this.mounted&&this.root.setInitialHighlightedNode()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onpointermove=this.onpointermove.bind(this)}handleSelect(){if(this.opts.disabled.current)return;const isCurrentSelectedValue=this.opts.value.current===this.root.opts.value. +current;if(!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti){this.root.handleClose();return}this.root.toggleItem(this.opts.value.current,this.opts.label.current),!this.root.isMulti&&!isCurrentSelectedValue&&this.root.handleClose()}#snippetProps=user_derived(()=>({selected:this.isSelected,highlighted:this.isHighlighted}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}onpointerdown(e){e.preventDefault()}onpointerup(e){ +if(!(e.defaultPrevented||!this.opts.ref.current)){if(e.pointerType==="touch"&&!isIOS){on(this.opts.ref.current,"click",()=>{this.handleSelect(),this.root.setHighlightedNode(this.opts.ref.current)},{once:!0});return}e.preventDefault(),this.handleSelect(),e.pointerType==="touch"&&this.root.setHighlightedNode(this.opts.ref.current)}}onpointermove(e){e.pointerType!=="touch"&&this.root.highlightedNode!==this.opts.ref.current&&this.root.setHighlightedNode(this.opts.ref.current)}#props=user_derived(()=>({ +id:this.opts.id.current,role:"option","aria-selected":this.root.includesItem(this.opts.value.current)?"true":void 0,"data-value":this.opts.value.current,"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":this.root.highlightedValue===this.opts.value.current&&!this.opts.disabled.current?"":void 0,"data-selected":this.root.includesItem(this.opts.value.current)?"":void 0,"data-label":this.opts.label.current,[this.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove, +onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectHiddenInputState{static create(opts){return new SelectHiddenInputState(opts,SelectRootContext.get())}opts;root;#shouldRender=user_derived(()=>this.root.opts.name.current!=="");get shouldRender(){return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(opts,root2){this.opts=opts, +this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(e){e.preventDefault(),this.root.isCombobox?this.root.inputNode?.focus():this.root.triggerNode?.focus()}#props=user_derived(()=>({disabled:boolToTrueOrUndef(this.root.opts.disabled.current),required:boolToTrueOrUndef(this.root.opts.required.current),name:this.root.opts.name.current,value:this.opts.value.current,onfocus:this.onfocus}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectViewportState{static create(opts){ +return new SelectViewportState(opts,SelectContentContext.get())}opts;content;root;attachment;#prevScrollTop=state$1(0);get prevScrollTop(){return get$3(this.#prevScrollTop)}set prevScrollTop(value){set$1(this.#prevScrollTop,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2,this.root=content2.root,this.attachment=attachRef(opts.ref,v=>{this.root.viewportNode=v})}#props=user_derived(()=>({id:this.opts.id.current,role:"presentation",[this.root.getBitsAttr("viewport")]:"",style:{ +position:"relative",flex:1,overflow:"auto"},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollButtonImplState{opts;content;root;attachment;autoScrollTimer=null;userScrollTimer=-1;isUserScrolling=!1;onAutoScroll=noop$1;#mounted=state$1(!1);get mounted(){return get$3(this.#mounted)}set mounted(value){set$1(this.#mounted,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2,this.root=content2.root,this.attachment= +attachRef(opts.ref),watch$1([()=>this.mounted],()=>{if(!this.mounted){this.isUserScrolling=!1;return}this.isUserScrolling}),user_effect(()=>{this.mounted||this.clearAutoScrollInterval()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this)}handleUserScroll(){this.content.domContext.clearTimeout(this.userScrollTimer),this.isUserScrolling=!0,this.userScrollTimer=this.content.domContext.setTimeout(()=>{ +this.isUserScrolling=!1},200)}clearAutoScrollInterval(){this.autoScrollTimer!==null&&(this.content.domContext.clearTimeout(this.autoScrollTimer),this.autoScrollTimer=null)}onpointerdown(_){if(this.autoScrollTimer!==null)return;const autoScroll=tick2=>{this.onAutoScroll(),this.autoScrollTimer=this.content.domContext.setTimeout(()=>autoScroll(tick2+1),this.opts.delay.current(tick2))};this.autoScrollTimer=this.content.domContext.setTimeout(()=>autoScroll(1),this.opts.delay.current(0))}onpointermove(e){ +this.onpointerdown(e)}onpointerleave(_){this.clearAutoScrollInterval()}#props=user_derived(()=>({id:this.opts.id.current,"aria-hidden":boolToStrTrueOrUndef(!0),style:{flexShrink:0},onpointerdown:this.onpointerdown,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollDownButtonState{static create(opts){return new SelectScrollDownButtonState(new SelectScrollButtonImplState( +opts,SelectContentContext.get()))}scrollButtonState;content;root;#canScrollDown=state$1(!1);get canScrollDown(){return get$3(this.#canScrollDown)}set canScrollDown(value){set$1(this.#canScrollDown,value,!0)}scrollIntoViewTimer=null;constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this.content=scrollButtonState.content,this.root=scrollButtonState.root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,watch$1([()=>this.root.viewportNode,()=>this.content.isPositioned], +()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())}),watch$1([()=>this.root.opts.inputValue.current,()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{!this.root.viewportNode||!this.content.isPositioned||this.handleScroll(!0)}),watch$1(()=>this.scrollButtonState.mounted,()=>{this.scrollButtonState.mounted&&(this.scrollIntoViewTimer&&clearTimeout(this.scrollIntoViewTimer),this.scrollIntoViewTimer= +afterSleep(5,()=>{const activeItem=this.root.highlightedNode;activeItem&&this.root.scrollHighlightedNodeIntoView(activeItem)}))})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const maxScroll=this.root.viewportNode.scrollHeight-this.root.viewportNode.clientHeight,paddingTop=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollDown=Math.ceil(this.root.viewportNode.scrollTop){ +const viewport=this.root.viewportNode,selectedItem=this.root.highlightedNode;!viewport||!selectedItem||(viewport.scrollTop=viewport.scrollTop+selectedItem.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-down-button")]:""}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollUpButtonState{static create(opts){return new SelectScrollUpButtonState(new SelectScrollButtonImplState(opts,SelectContentContext. +get()))}scrollButtonState;content;root;#canScrollUp=state$1(!1);get canScrollUp(){return get$3(this.#canScrollUp)}set canScrollUp(value){set$1(this.#canScrollUp,value,!0)}constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this.content=scrollButtonState.content,this.root=scrollButtonState.root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,watch$1([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned)) +return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const paddingTop=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollUp=this.root.viewportNode.scrollTop-paddingTop>.1};handleAutoScroll=()=>{!this.root.viewportNode||!this.root.highlightedNode||(this.root.viewportNode.scrollTop=this.root.viewportNode.scrollTop-this. +root.highlightedNode.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-up-button")]:""}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function Select_hidden_input($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15);const hiddenInputState=SelectHiddenInputState.create({value:boxWith$1(()=>value())});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input( +$$anchor2,spread_props(()=>hiddenInputState.props,{get autocomplete(){return $$props.autocomplete},get value(){return value()},set value($$value){value($$value)}}))};if_block(node2,$$render=>{hiddenInputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}function Floating_layer_anchor($$anchor,$$props){push$1($$props,!0);let tooltip=prop($$props,"tooltip",3,!1);FloatingAnchorState.create({id:boxWith$1(()=>$$props.id),virtualEl:boxWith$1(()=>$$props.virtualEl),ref:$$props.ref}, +tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_4$M=from_svg(''),root_2$1u=from_html("");function Arrow($$anchor,$$props){push$1($$props,!0);let id2=prop($$props,"id",19,useId),width=prop($$props,"width",3,10),height=prop($$props,"height",3,5),restProps=rest_props( +$$props,["$$slots","$$events","$$legacy","id","children","child","width","height"]);const mergedProps=user_derived(()=>mergeProps(restProps,{id:id2()}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{var span=root_2$1u();attribute_effect(span,()=>({...get$3(mergedProps)}));var node_2=child( +span);{var consequent_1=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var svg2=root_4$M();template_effect(()=>{set_attribute(svg2,"width",width()),set_attribute(svg2,"height",height())}),append($$anchor3,svg2)};if_block(node_2,$$render=>{$$props.children?$$render(consequent_1):$$render(alternate,-1)})}reset(span),append($$anchor2,span)};if_block(node2,$$render=>{$$props.child? +$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}function Floating_layer_arrow($$anchor,$$props){push$1($$props,!0);let id2=prop($$props,"id",19,useId),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref"]);const arrowState=FloatingArrowState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,arrowState.props));Arrow($$anchor,spread_props(()=>get$3( +mergedProps))),pop()}function Floating_layer_content($$anchor,$$props){push$1($$props,!0);let side=prop($$props,"side",3,"bottom"),sideOffset=prop($$props,"sideOffset",3,0),align=prop($$props,"align",3,"center"),alignOffset=prop($$props,"alignOffset",3,0),arrowPadding=prop($$props,"arrowPadding",3,0),avoidCollisions=prop($$props,"avoidCollisions",3,!0),collisionBoundary=prop($$props,"collisionBoundary",19,()=>[]),collisionPadding=prop($$props,"collisionPadding",3,0),hideWhenDetached=prop($$props, +"hideWhenDetached",3,!1),onPlaced=prop($$props,"onPlaced",3,()=>{}),sticky=prop($$props,"sticky",3,"partial"),updatePositionStrategy=prop($$props,"updatePositionStrategy",3,"optimized"),strategy=prop($$props,"strategy",3,"fixed"),dir=prop($$props,"dir",3,"ltr"),style2=prop($$props,"style",19,()=>({})),wrapperId=prop($$props,"wrapperId",19,useId),customAnchor=prop($$props,"customAnchor",3,null),tooltip=prop($$props,"tooltip",3,!1);const contentState=FloatingContentState.create({side:boxWith$1(()=>side()), +sideOffset:boxWith$1(()=>sideOffset()),align:boxWith$1(()=>align()),alignOffset:boxWith$1(()=>alignOffset()),id:boxWith$1(()=>$$props.id),arrowPadding:boxWith$1(()=>arrowPadding()),avoidCollisions:boxWith$1(()=>avoidCollisions()),collisionBoundary:boxWith$1(()=>collisionBoundary()),collisionPadding:boxWith$1(()=>collisionPadding()),hideWhenDetached:boxWith$1(()=>hideWhenDetached()),onPlaced:boxWith$1(()=>onPlaced()),sticky:boxWith$1(()=>sticky()),updatePositionStrategy:boxWith$1(()=>updatePositionStrategy()), +strategy:boxWith$1(()=>strategy()),dir:boxWith$1(()=>dir()),style:boxWith$1(()=>style2()),enabled:boxWith$1(()=>$$props.enabled),wrapperId:boxWith$1(()=>wrapperId()),customAnchor:boxWith$1(()=>customAnchor())},tooltip()),mergedProps=user_derived(()=>mergeProps(contentState.wrapperProps,{style:{pointerEvents:"auto"}}));var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.content??noop$3,()=>({props:contentState.props,wrapperProps:get$3(mergedProps)})),append($$anchor,fragment), +pop()}function Floating_layer_content_static($$anchor,$$props){push$1($$props,!0),onMount$1(()=>{$$props.onPlaced?.()});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.content??noop$3,()=>({props:{},wrapperProps:{}})),append($$anchor,fragment),pop()}function Popper_content($$anchor,$$props){let isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","content","isStatic","onPlaced"]);var fragment=comment$2(),node2=first_child( +fragment);{var consequent=$$anchor2=>{Floating_layer_content_static($$anchor2,{get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}})},alternate=$$anchor2=>{Floating_layer_content($$anchor2,spread_props({get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}},()=>restProps))};if_block(node2,$$render=>{isStatic()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment)}var root_1$1c=from_html(" ",1);function Popper_layer_inner($$anchor,$$props){ +push$1($$props,!0);let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),tooltip=prop($$props,"tooltip",3,!1),contentPointerEvents=prop($$props,"contentPointerEvents",3,"auto"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","prev\ +entOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled","ref","tooltip","contentPointerEvents"]); +const resolvedPreventScroll=user_derived(()=>$$props.preventScroll??!0),effectiveStrategy=user_derived(()=>$$props.strategy??(get$3(resolvedPreventScroll)?"fixed":"absolute"));Popper_content($$anchor,{get isStatic(){return isStatic()},get id(){return $$props.id},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props. +avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return get$3(effectiveStrategy)},get dir(){return $$props.dir},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){ +return customAnchor()},get enabled(){return $$props.enabled},get tooltip(){return tooltip()},content:($$anchor2,$$arg0)=>{let floatingProps=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;var fragment_1=root_1$1c(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{Scroll_lock($$anchor3,{get preventScroll(){return get$3(resolvedPreventScroll)}})},consequent_1=$$anchor3=>{Scroll_lock($$anchor3,{get preventScroll(){return get$3(resolvedPreventScroll)}})};if_block(node2,$$render=>{ +$$props.forceMount&&$$props.enabled?$$render(consequent):$$props.forceMount||$$render(consequent_1,1)})}var node_1=sibling(node2,2);Focus_scope(node_1,{get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get loop(){return $$props.loop},get enabled(){return $$props.enabled},get trapFocus(){return trapFocus()},get forceMount(){return $$props.forceMount},get ref(){return $$props.ref},focusScope:($$anchor3,$$arg02)=>{let focusScopeProps=()=>$$arg02?.(). +props;Escape_layer($$anchor3,{get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,{get id(){return $$props.id},get onInteractOutside(){return $$props.onInteractOutside},get onFocusOutside(){return $$props.onFocusOutside},get interactOutsideBehavior(){return interactOutsideBehavior()},get isValidEvent(){ +return isValidEvent2()},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor5,$$arg03)=>{let dismissibleProps=()=>$$arg03?.().props;Text_selection_layer($$anchor5,{get id(){return $$props.id},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.onPointerUp},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor6,$$slotProps2)=>{ +var fragment_7=comment$2(),node_2=first_child(fragment_7);{let $0=user_derived(()=>({props:mergeProps(restProps,floatingProps(),dismissibleProps(),focusScopeProps(),{style:{pointerEvents:contentPointerEvents()}}),wrapperProps:wrapperProps()}));snippet(node_2,()=>$$props.popper??noop$3,()=>get$3($0))}append($$anchor6,fragment_7)},$$slots:{default:!0}})},$$slots:{default:!0}})},$$slots:{default:!0}})},$$slots:{focusScope:!0}}),append($$anchor2,fragment_1)},$$slots:{content:!0}}),pop()}function Popper_layer($$anchor,$$props){ +let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","open","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding", +"avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","ref","shouldRender"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Popper_layer_inner($$anchor2,spread_props({get popper(){return $$props. +popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.onPointerUp},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){ +return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props. +wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get isStatic(){return isStatic()},get enabled(){return $$props.open},get onInteractOutside(){return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){ +return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside},forceMount:!1,get ref(){return $$props.ref}},()=>restProps))};if_block(node2,$$render=>{$$props.shouldRender&&$$render(consequent)})}append($$anchor,fragment)}function Popper_layer_force_mount($$anchor,$$props){let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3, +null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpe\ +nAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled"]);Popper_layer_inner($$anchor,spread_props({get popper(){return $$props.popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){ return $$props.onPointerUp},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){ -return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get isStatic(){return isStatic()},get enabled(){return $$props.open},get onInteractOutside(){return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus}, -get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside},forceMount:!1,get ref(){return $$props.ref}},()=>restProps))};if_block(node2,$$render=>{$$props.shouldRender&&$$render(consequent)})}append($$anchor,fragment)}function Popper_layer_force_mount($$anchor,$$props){let interactOutsideBehavior=prop( -$$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary", -"collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled"]);Popper_layer_inner($$anchor,spread_props({get popper(){return $$props.popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior}, -get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.onPointerUp},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props. -collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()}, -get isStatic(){return isStatic()},get enabled(){return $$props.enabled},get onInteractOutside(){return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside}},()=>restProps,{forceMount:!0}))} -var root_4$G=from_html("
"),root_8$x=from_html("
");function Select_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),side=prop($$props,"side",3,"bottom"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),preventScroll=prop($$props,"prevent\ -Scroll",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","forceMount","side","onInteractOutside","onEscapeKeydown","children","child","preventScroll","style"]);const contentState=SelectContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child( -fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){return side()},get enabled(){return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!0,get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived( -()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$G();attribute_effect(div,()=>({...wrapperProps()})); -var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){return side()}, -get open(){return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!1,get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(), -node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$x();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4, -div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}function Mounted($$anchor,$$props){push$1($$props,!0);let mounted=prop($$props,"mounted",15,!1),onMountedChange=prop($$props,"onMountedChange",3,noop$1);onMountEffect(()=>(mounted(!0),onMountedChange()(!0),()=>{mounted( -!1),onMountedChange()(!1)})),pop()}var root_2$1u=from_html("
"),root$1T=from_html(" ",1);function Select_item$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),label=prop($$props,"label",19,()=>$$props.value),disabled=prop($$props,"disabled",3,!1),onHighlight=prop($$props,"onHighlight",3,noop$1),onUnhighlight=prop($$props,"onUnhighlight",3,noop$1),restProps=rest_props($$props,["$$slots", -"$$events","$$legacy","id","ref","value","label","disabled","children","child","onHighlight","onUnhighlight"]);const itemState=SelectItemState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),value:boxWith$1(()=>$$props.value),disabled:boxWith$1(()=>disabled()),label:boxWith$1(()=>label()),onHighlight:boxWith$1(()=>onHighlight()),onUnhighlight:boxWith$1(()=>onUnhighlight())}),mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=root$1T(),node2=first_child( -fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...itemState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1u();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3,()=>itemState.snippetProps),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{ -$$props.child?$$render(consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Mounted(node_3,{get mounted(){return itemState.mounted},set mounted($$value){itemState.mounted=$$value}}),append($$anchor,fragment),pop()}var root_2$1t=from_html("
");function Select_viewport($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id", -"ref","children","child"]);const viewportState=SelectViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,viewportState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1t();attribute_effect( -div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$10=from_html("
"),root_1$14=from_html(" ",1);function Select_scroll_down_button$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15, -null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollDownButtonState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$14(),node_1=first_child( -fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$10();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_4=child(div);snippet(node_4, -()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{scrollButtonState.canScrollDown&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root_3$$=from_html("
"),root_1$13=from_html(" ",1);function Select_scroll_up_button$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId( -uid2)),ref2=prop($$props,"ref",15,null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollUpButtonState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$13(), -node_1=first_child(fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$$();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_4=child( -div);snippet(node_4,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{scrollButtonState.canScrollUp&&$$render(consequent_1)})}append($$anchor,fragment),pop()}function Menu_sub($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenC\ -hangeComplete",3,noop$1);MenuSubmenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()?.(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_2$1s=from_html("
");function Menu_item($$anchor,$$props){const uid2=props_id();push$1( -$$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),onSelect=prop($$props,"onSelect",3,noop$1),closeOnSelect=prop($$props,"closeOnSelect",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","disabled","onSelect","closeOnSelect"]);const itemState=MenuItemState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()),onSelect:boxWith$1(()=>onSelect()),ref:boxWith$1( -()=>ref2(),v=>ref2(v)),closeOnSelect:boxWith$1(()=>closeOnSelect())}),mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1s();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2, -()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1r=from_html("
");function Menu_separator($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","child","children"]);const separatorState=MenuSeparatorState. -create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,separatorState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1r();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet( -node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_4$F=from_html("
"),root_8$w=from_html("
");function Menu_sub_content($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),loop2=prop($$props,"loop",3,!0),onInteractOutside=prop( -$$props,"onInteractOutside",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"defer-otherwise-close"),escapeKeydownBehavior=prop($$props,"escapeKeydownBehavior",3,"defer-otherwise-close"),onOpenAutoFocusProp=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocusProp=prop($$props,"onCloseAutoFocus",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside",3,noop$1),side=prop( -$$props,"side",3,"right"),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child","loop","onInteractOutside","forceMount","onEscapeKeydown","interactOutsideBehavior","escapeKeydownBehavior","onOpenAutoFocus","onCloseAutoFocus","onFocusOutside","side","trapFocus","style"]);const subContentState=MenuContentState.create({id:boxWith$1(()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),isSub:!0,onCloseAutoFocus:boxWith$1( -()=>handleCloseAutoFocus)});function onkeydown(e){const isKeyDownInside=e.currentTarget.contains(e.target),isCloseKey=SUB_CLOSE_KEYS[subContentState.parentMenu.root.opts.dir.current].includes(e.key);isKeyDownInside&&isCloseKey&&(subContentState.parentMenu.onClose(),subContentState.parentMenu.triggerNode?.focus(),e.preventDefault())}const dataAttr=user_derived(()=>subContentState.parentMenu.root.getBitsAttr("sub-content")),mergedProps=user_derived(()=>mergeProps(restProps,subContentState.props,{side:side(), -onkeydown,[get$3(dataAttr)]:""}));function handleOpenAutoFocus(e){onOpenAutoFocusProp()(e),!e.defaultPrevented&&(e.preventDefault(),subContentState.parentMenu.root.isUsingKeyboard&&subContentState.parentMenu.contentNode&&MenuOpenEvent.dispatch(subContentState.parentMenu.contentNode))}function handleCloseAutoFocus(e){onCloseAutoFocusProp()(e),!e.defaultPrevented&&e.preventDefault()}function handleInteractOutside(e){onInteractOutside()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleEscapeKeydown(e){ -onEscapeKeydown()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleOnFocusOutside(e){if(onFocusOutside()(e),e.defaultPrevented||!isHTMLElement$1(e.target)||e.target.id===subContentState.parentMenu.triggerNode?.id)return;if(subContentState.parentMenu.parentMenu?.contentNode?.contains(e.target)){subContentState.parentMenu.onClose(),e.preventDefault();return}const subContentSelector=`[${subContentState.parentMenu.root.getBitsAttr("sub-content")}]`;if(e.target.closest(subContentSelector)){ -e.preventDefault();return}subContentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onOpenAutoFocus:handleOpenAutoFocus,get enabled(){return subContentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside, -onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){return loop2()},get trapFocus(){return trapFocus()},get shouldRender(){return subContentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$3(mergedProps),{style:getFloatingContentCSSVars("menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2); -{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...subContentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$F();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children?? -noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onCloseAutoFocus:handleCloseAutoFocus,onOpenAutoFocus:handleOpenAutoFocus, -get open(){return subContentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){return loop2()},get trapFocus(){return trapFocus()},get shouldRender(){return subContentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$3(mergedProps),{style:getFloatingContentCSSVars( -"menu")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...subContentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$w();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect( -div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$_=from_html("
");function Menu_sub_trigger($$anchor,$$props){ -const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),ref2=prop($$props,"ref",15,null),onSelect=prop($$props,"onSelect",3,noop$1),openDelay=prop($$props,"openDelay",3,0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","disabled","ref","children","child","onSelect","openDelay"]);const subTriggerState=MenuSubTriggerState.create({disabled:boxWith$1(()=>disabled()),onSelect:boxWith$1(()=>onSelect()),id:boxWith$1( -()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),openDelay:boxWith$1(()=>openDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,subTriggerState.props));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return subTriggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})), -append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$_();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function isPointInPolygon(point2,polygon){const[x,y]=point2;let isInside=!1;const length=polygon.length;for(let i=0,j=length-1;i=y!=yj>=y&&x<=(xj-xi)*(y-yi)/(yj-yi)+xi&&(isInside=!isInside)}return isInside}function isInsideRect(point2,rect){return point2[0]>=rect.left&&point2[0]<=rect.right&&point2[1]>=rect.top&&point2[1]<=rect.bottom}function getSide(triggerRect,contentRect){const triggerCenterX=triggerRect.left+triggerRect.width/2,triggerCenterY=triggerRect.top+triggerRect.height/2,contentCenterX=contentRect.left+contentRect.width/2,contentCenterY=contentRect. -top+contentRect.height/2,deltaX=contentCenterX-triggerCenterX,deltaY=contentCenterY-triggerCenterY;return Math.abs(deltaX)>Math.abs(deltaY)?deltaX>0?"right":"left":deltaY>0?"bottom":"top"}class SafePolygon{#opts;#buffer;#transitIntentTimeout;#exitPoint=null;#exitTarget=null;#transitTargets=[];#trackedTriggerNode=null;#leaveFallbackRafId=null;#transitIntentTimeoutId=null;#cancelLeaveFallback(){this.#leaveFallbackRafId!==null&&(cancelAnimationFrame(this.#leaveFallbackRafId),this.#leaveFallbackRafId= -null)}#scheduleLeaveFallback(){this.#cancelLeaveFallback(),this.#leaveFallbackRafId=requestAnimationFrame(()=>{this.#leaveFallbackRafId=null,!(!this.#exitPoint||!this.#exitTarget)&&(this.#clearTracking(),this.#opts.onPointerExit())})}#cancelTransitIntentTimeout(){this.#transitIntentTimeoutId!==null&&(clearTimeout(this.#transitIntentTimeoutId),this.#transitIntentTimeoutId=null)}#scheduleTransitIntentTimeout(){this.#transitIntentTimeout!==null&&(this.#cancelTransitIntentTimeout(),this.#transitIntentTimeoutId= -window.setTimeout(()=>{this.#transitIntentTimeoutId=null,!(!this.#exitPoint||!this.#exitTarget)&&(this.#clearTracking(),this.#opts.onPointerExit())},this.#transitIntentTimeout))}constructor(opts){this.#opts=opts,this.#buffer=opts.buffer??1;const transitIntentTimeout=opts.transitIntentTimeout;this.#transitIntentTimeout=typeof transitIntentTimeout=="number"&&transitIntentTimeout>0?transitIntentTimeout:null,watch$1([opts.triggerNode,opts.contentNode,opts.enabled],([triggerNode,contentNode,enabled])=>{ -if(!triggerNode||!contentNode||!enabled){this.#trackedTriggerNode=null,this.#clearTracking();return}this.#trackedTriggerNode&&this.#trackedTriggerNode!==triggerNode&&this.#clearTracking(),this.#trackedTriggerNode=triggerNode;const doc=getDocument$1(triggerNode),handlePointerMove=e=>{this.#onPointerMove([e.clientX,e.clientY],triggerNode,contentNode)},handleTriggerLeave=e=>{const target2=e.relatedTarget;if(isElement$1(target2)&&contentNode.contains(target2))return;const ignoredTargets=this.#opts.ignoredTargets?.()?? -[];isElement$1(target2)&&ignoredTargets.some(n=>n===target2||n.contains(target2))||(this.#transitTargets=isElement$1(target2)&&ignoredTargets.length>0?ignoredTargets.filter(n=>target2.contains(n)):[],this.#exitPoint=[e.clientX,e.clientY],this.#exitTarget="content",this.#scheduleLeaveFallback())},handleTriggerEnter=()=>{this.#clearTracking()},handleContentEnter=()=>{this.#clearTracking()},handleContentLeave=e=>{const target2=e.relatedTarget;isElement$1(target2)&&triggerNode.contains(target2)||(this.#exitPoint= -[e.clientX,e.clientY],this.#exitTarget="trigger",this.#scheduleLeaveFallback())};return[on(doc,"pointermove",handlePointerMove),on(triggerNode,"pointerleave",handleTriggerLeave),on(triggerNode,"pointerenter",handleTriggerEnter),on(contentNode,"pointerenter",handleContentEnter),on(contentNode,"pointerleave",handleContentLeave)].reduce((acc,cleanup)=>()=>{acc(),cleanup()},()=>{})})}#onPointerMove(clientPoint,triggerNode,contentNode){if(!this.#exitPoint||!this.#exitTarget)return;this.#cancelLeaveFallback(), -this.#scheduleTransitIntentTimeout();const triggerRect=triggerNode.getBoundingClientRect(),contentRect=contentNode.getBoundingClientRect();if(this.#exitTarget==="content"&&isInsideRect(clientPoint,contentRect)){this.#clearTracking();return}if(this.#exitTarget==="trigger"&&isInsideRect(clientPoint,triggerRect)){this.#clearTracking();return}if(this.#exitTarget==="content"&&this.#transitTargets.length>0)for(const transitTarget of this.#transitTargets){const transitRect=transitTarget.getBoundingClientRect(); -if(isInsideRect(clientPoint,transitRect))return;const transitSide=getSide(triggerRect,transitRect),transitCorridor=this.#getCorridorPolygon(triggerRect,transitRect,transitSide);if(transitCorridor&&isPointInPolygon(clientPoint,transitCorridor))return}const side=getSide(triggerRect,contentRect),corridorPoly=this.#getCorridorPolygon(triggerRect,contentRect,side);if(corridorPoly&&isPointInPolygon(clientPoint,corridorPoly))return;const targetRect=this.#exitTarget==="content"?contentRect:triggerRect,safePoly=this.#getSafePolygon( -this.#exitPoint,targetRect,side,this.#exitTarget);isPointInPolygon(clientPoint,safePoly)||(this.#clearTracking(),this.#opts.onPointerExit())}#clearTracking(){this.#exitPoint=null,this.#exitTarget=null,this.#transitTargets=[],this.#cancelLeaveFallback(),this.#cancelTransitIntentTimeout()}#getCorridorPolygon(triggerRect,contentRect,side){const buffer=this.#buffer;switch(side){case"top":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.top],[Math.min(triggerRect.left,contentRect. -left)-buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer,triggerRect.top]];case"bottom":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.bottom],[Math.min(triggerRect.left,contentRect.left)-buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+buffer,triggerRect.bottom]];case"left":return[ -[triggerRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math.max(triggerRect.bottom,contentRect.bottom)+buffer],[triggerRect.left,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]];case"right":return[[triggerRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.left,Math.max(triggerRect.bottom,contentRect. -bottom)+buffer],[triggerRect.right,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]]}}#getSafePolygon(exitPoint,targetRect,side,exitTarget){const buffer=this.#buffer*4,[x,y]=exitPoint;switch(exitTarget==="trigger"?this.#flipSide(side):side){case"top":return[[x-buffer,y+buffer],[x+buffer,y+buffer],[targetRect.right+buffer,targetRect.bottom],[targetRect.right+buffer,targetRect.top],[targetRect.left-buffer,targetRect.top],[targetRect.left-buffer,targetRect.bottom]];case"bottom":return[[x-buffer, -y-buffer],[x+buffer,y-buffer],[targetRect.right+buffer,targetRect.top],[targetRect.right+buffer,targetRect.bottom],[targetRect.left-buffer,targetRect.bottom],[targetRect.left-buffer,targetRect.top]];case"left":return[[x+buffer,y-buffer],[x+buffer,y+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.left,targetRect.bottom+buffer],[targetRect.left,targetRect.top-buffer],[targetRect.right,targetRect.top-buffer]];case"right":return[[x-buffer,y-buffer],[x-buffer,y+buffer],[targetRect.left, -targetRect.bottom+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.right,targetRect.top-buffer],[targetRect.left,targetRect.top-buffer]]}}#flipSide(side){switch(side){case"top":return"bottom";case"bottom":return"top";case"left":return"right";case"right":return"left"}}}const popoverAttrs=createBitsAttrs({component:"popover",parts:["root","trigger","content","close","overlay"]}),PopoverRootContext=new Context$1("Popover.Root");class PopoverRootState{static create(opts){return PopoverRootContext. -set(new PopoverRootState(opts))}opts;#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#triggerNode=state$1(null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#overlayNode=state$1(null);get overlayNode(){return get$3(this.#overlayNode)}set overlayNode(value){set$1(this.#overlayNode,value,!0)}overlayPresence;#openedViaHover=state$1(!1);get openedViaHover(){ -return get$3(this.#openedViaHover)}set openedViaHover(value){set$1(this.#openedViaHover,value,!0)}#hasInteractedWithContent=state$1(!1);get hasInteractedWithContent(){return get$3(this.#hasInteractedWithContent)}set hasInteractedWithContent(value){set$1(this.#hasInteractedWithContent,value,!0)}#hoverCooldown=state$1(!1);get hoverCooldown(){return get$3(this.#hoverCooldown)}set hoverCooldown(value){set$1(this.#hoverCooldown,value,!0)}#closeDelay=state$1(0);get closeDelay(){return get$3(this.#closeDelay)}set closeDelay(value){ -set$1(this.#closeDelay,value,!0)}#closeTimeout=null;#domContext=null;constructor(opts){this.opts=opts,this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),this.overlayPresence=new PresenceManager({ref:boxWith$1(()=>this.overlayNode),open:this.opts.open}),watch$1(()=>this.opts.open.current,isOpen=>{isOpen||(this.openedViaHover=!1,this.hasInteractedWithContent=!1,this.#clearCloseTimeout())})}setDomContext(ctx){ -this.#domContext=ctx}#clearCloseTimeout(){this.#closeTimeout!==null&&this.#domContext&&(this.#domContext.clearTimeout(this.#closeTimeout),this.#closeTimeout=null)}toggleOpen(){this.#clearCloseTimeout(),this.opts.open.current=!this.opts.open.current}handleClose(){this.#clearCloseTimeout(),this.opts.open.current&&(this.opts.open.current=!1)}handleHoverOpen(){this.#clearCloseTimeout(),!this.opts.open.current&&(this.openedViaHover=!0,this.opts.open.current=!0)}handleHoverClose(){this.opts.open.current&& -this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1)}handleDelayedHoverClose(){this.opts.open.current&&(!this.openedViaHover||this.hasInteractedWithContent||(this.#clearCloseTimeout(),this.closeDelay<=0?this.opts.open.current=!1:this.#domContext&&(this.#closeTimeout=this.#domContext.setTimeout(()=>{this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1),this.#closeTimeout=null},this.closeDelay))))}cancelDelayedClose(){this.#clearCloseTimeout()}markInteraction(){ -this.hasInteractedWithContent=!0,this.#clearCloseTimeout()}}class PopoverTriggerState{static create(opts){return new PopoverTriggerState(opts,PopoverRootContext.get())}opts;root;attachment;domContext;#openTimeout=null;#closeTimeout=null;#isHovering=state$1(!1);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.triggerNode=v),this.domContext=new DOMContext(opts.ref),this.root.setDomContext(this.domContext),this.onclick=this.onclick.bind(this), -this.onkeydown=this.onkeydown.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this),watch$1(()=>this.opts.closeDelay.current,delay=>{this.root.closeDelay=delay})}#clearOpenTimeout(){this.#openTimeout!==null&&(this.domContext.clearTimeout(this.#openTimeout),this.#openTimeout=null)}#clearCloseTimeout(){this.#closeTimeout!==null&&(this.domContext.clearTimeout(this.#closeTimeout),this.#closeTimeout=null)}#clearAllTimeouts(){this.#clearOpenTimeout(), -this.#clearCloseTimeout()}onpointerenter(e){if(this.opts.disabled.current||!this.opts.openOnHover.current||isTouch(e)||(set$1(this.#isHovering,!0),this.#clearCloseTimeout(),this.root.cancelDelayedClose(),this.root.opts.open.current||this.root.hoverCooldown))return;const delay=this.opts.openDelay.current;delay<=0?this.root.handleHoverOpen():this.#openTimeout=this.domContext.setTimeout(()=>{this.root.handleHoverOpen(),this.#openTimeout=null},delay)}onpointerleave(e){this.opts.disabled.current||this. -opts.openOnHover.current&&(isTouch(e)||(set$1(this.#isHovering,!1),this.#clearOpenTimeout(),this.root.hoverCooldown=!1))}onclick(e){if(!this.opts.disabled.current&&e.button===0){if(this.#clearAllTimeouts(),get$3(this.#isHovering)&&this.root.opts.open.current&&this.root.openedViaHover){this.root.openedViaHover=!1,this.root.hasInteractedWithContent=!0;return}get$3(this.#isHovering)&&this.opts.openOnHover.current&&this.root.opts.open.current&&(this.root.hoverCooldown=!0),this.root.hoverCooldown&&!this. -root.opts.open.current&&(this.root.hoverCooldown=!1),this.root.toggleOpen()}}onkeydown(e){this.opts.disabled.current||(e.key===ENTER||e.key===SPACE)&&(e.preventDefault(),this.#clearAllTimeouts(),this.root.toggleOpen())}#getAriaControls(){if(this.root.opts.open.current&&this.root.contentNode?.id)return this.root.contentNode?.id}#props=user_derived(()=>({id:this.opts.id.current,"aria-haspopup":"dialog","aria-expanded":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root. -opts.open.current),"aria-controls":this.#getAriaControls(),[popoverAttrs.trigger]:"",disabled:this.opts.disabled.current,onkeydown:this.onkeydown,onclick:this.onclick,onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class PopoverContentState{static create(opts){return new PopoverContentState(opts,PopoverRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts= -opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),this.onpointerdown=this.onpointerdown.bind(this),this.onfocusin=this.onfocusin.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this),new SafePolygon({triggerNode:()=>this.root.triggerNode,contentNode:()=>this.root.contentNode,enabled:()=>this.root.opts.open.current&&this.root.openedViaHover&&!this.root.hasInteractedWithContent,onPointerExit:()=>{this. -root.handleDelayedHoverClose()}})}onpointerdown(_){this.root.markInteraction()}onfocusin(e){const target2=e.target;isElement$1(target2)&&isTabbable(target2)&&this.root.markInteraction()}onpointerenter(e){isTouch(e)||this.root.cancelDelayedClose()}onpointerleave(e){isTouch(e)}onInteractOutside=e=>{if(this.opts.onInteractOutside.current(e),e.defaultPrevented||!isElement$1(e.target))return;const closestTrigger=e.target.closest(popoverAttrs.selector("trigger"));if(!(closestTrigger&&closestTrigger=== -this.root.triggerNode)){if(this.opts.customAnchor.current){if(isElement$1(this.opts.customAnchor.current)){if(this.opts.customAnchor.current.contains(e.target))return}else if(typeof this.opts.customAnchor.current=="string"){const el=document.querySelector(this.opts.customAnchor.current);if(el&&el.contains(e.target))return}}this.root.handleClose()}};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&this.root.handleClose()};get shouldRender(){return this.root.contentPresence. -shouldRender}get shouldTrapFocus(){return!(this.root.openedViaHover&&!this.root.hasInteractedWithContent)}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,"data-state":getDataOpenClosed(this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),[popoverAttrs.content]:"", -style:{pointerEvents:"auto",contain:"layout style"},onpointerdown:this.onpointerdown,onfocusin:this.onfocusin,onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown}}var root_4$E=from_html("
"),root_8$v=from_html("
");function Popover_content$1($$anchor,$$props){ -const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),forceMount=prop($$props,"forceMount",3,!1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!1),customAnchor=prop( -$$props,"customAnchor",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","forceMount","onOpenAutoFocus","onCloseAutoFocus","onEscapeKeydown","onInteractOutside","trapFocus","preventScroll","customAnchor","style"]);const contentState=PopoverContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),customAnchor:boxWith$1(()=>customAnchor())}), -mergedProps=user_derived(()=>mergeProps(restProps,contentState.props)),effectiveTrapFocus=user_derived(()=>trapFocus()&&contentState.shouldTrapFocus);function handleOpenAutoFocus(e){contentState.shouldTrapFocus||e.preventDefault(),onOpenAutoFocus()(e)}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState. -root.opts.open.current},get id(){return id2()},get trapFocus(){return get$3(effectiveTrapFocus)},get preventScroll(){return preventScroll()},loop:!0,forceMount:!0,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars( -"popover")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$E();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1, -()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get open(){return contentState.root.opts.open.current},get id(){ -return id2()},get trapFocus(){return get$3(effectiveTrapFocus)},get preventScroll(){return preventScroll()},loop:!0,forceMount:!1,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("po\ -pover")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$v();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect( -div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$Z=from_html("");function Popover_trigger$1($$anchor,$$props){ -const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),type2=prop($$props,"type",3,"button"),disabled=prop($$props,"disabled",3,!1),openOnHover=prop($$props,"openOnHover",3,!1),openDelay=prop($$props,"openDelay",3,700),closeDelay=prop($$props,"closeDelay",3,300),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","type","disabled","openOnHover","openDelay","closeDelay"]);const triggerState=PopoverTriggerState. -create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled()),openOnHover:boxWith$1(()=>openOnHover()),openDelay:boxWith$1(()=>openDelay()),closeDelay:boxWith$1(()=>closeDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{ -var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$Z();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}), -pop()}function Dialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);DialogRootState.create({variant:boxWith$1(()=>"dialog"),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor, -fragment),pop()}var root_2$1q=from_html("");function Dialog_close($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","disabled"]);const closeState=DialogCloseState.create({variant:boxWith$1(()=>"close"),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2( -v)),disabled:boxWith$1(()=>!!disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,closeState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1q();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props. -children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_6$A=from_html(" ",1),root_8$u=from_html("
",1);function Dialog_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),onCloseAutoFocus=prop($$props,"onCl\ -oseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","onCloseAutoFocus","onOpenAutoFocus","onEscap\ -eKeydown","onInteractOutside","trapFocus","preventScroll","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_2=$$anchor2=>{Focus_scope($$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open. -current},get onOpenAutoFocus(){return onOpenAutoFocus()},get onCloseAutoFocus(){return onCloseAutoFocus()},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer($$anchor3,spread_props(()=>get$3(mergedProps),{get enabled(){return contentState.root.opts.open.current},get ref(){return contentState.opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props( -()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child( -fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$A(),node_2=first_child(fragment_6);{var consequent=$$anchor8=>{Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props. -child,()=>get$3($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{var fragment_8=root_8$u(),node_4=first_child(fragment_8);Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling(node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps),focusScopeProps())]);var node_5=child(div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate, --1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})};if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render(consequent_2)})}append($$anchor,fragment),pop()}function Menu($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),dir=prop($$props,"dir",3,"ltr"),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1), -variant=prop($$props,"_internal_variant",3,"dropdown-menu"),shouldSkipExitAnimation=prop($$props,"_internal_should_skip_exit_animation",3,void 0);const root2=MenuRootState.create({variant:boxWith$1(()=>variant()),dir:boxWith$1(()=>dir()),onClose:()=>{open2(!1),onOpenChange()(!1)},shouldSkipExitAnimation:()=>shouldSkipExitAnimation()?.()??!1});MenuMenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())},root2),Floating_layer( -$$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$D=from_html("
"),root_8$t=from_html("
");function Dropdown_menu_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),loop2=prop($$props,"l\ -oop",3,!0),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","child","children","ref","loop","onInteractOutside","onEscapeKeydown","onCloseAutoFocus","forceMount","trapFocus","style"]);const contentState=MenuContentState.create( -{id:boxWith$1(()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));function handleInteractOutside(e){if(contentState.handleInteractOutside(e),!e.defaultPrevented&&(onInteractOutside()(e),!e.defaultPrevented)){if(e.target&&e.target instanceof Element){const subContentSelector=`[${contentState.parentMenu.root.getBitsAttr("sub-content")}]`;if(e.target.closest( -subContentSelector))return}contentState.parentMenu.onClose()}}function handleEscapeKeydown(e){onEscapeKeydown()(e),!e.defaultPrevented&&contentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown, -get trapFocus(){return trapFocus()},get loop(){return loop2()},forceMount:!0,get id(){return id2()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child( -fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$D();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{ -$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get open(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,get trapFocus(){return trapFocus()},get loop(){return loop2()},forceMount:!1,get id(){return id2()}, -get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(), -...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$t();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3, -fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$Y=from_html("");function Menu_trigger($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","\ -$$events","$$legacy","id","ref","child","children","disabled","type"]);const triggerState=DropdownMenuTriggerState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()??!1),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{ -var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$Y();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}), -pop()}const labelAttrs=createBitsAttrs({component:"label",parts:["root"]});class LabelRootState{static create(opts){return new LabelRootState(opts)}opts;attachment;constructor(opts){this.opts=opts,this.attachment=attachRef(this.opts.ref),this.onmousedown=this.onmousedown.bind(this)}onmousedown(e){e.detail>1&&e.preventDefault()}#props=user_derived(()=>({id:this.opts.id.current,[labelAttrs.root]:"",onmousedown:this.onmousedown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){ -set$1(this.#props,value)}}var root_2$1p=from_html("");function Label$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","for"]);const rootState=LabelRootState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{for:$$props. -for}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var label=root_2$1p();attribute_effect(label,()=>({...get$3(mergedProps),for:$$props.for}));var node_2=child(label);snippet(node_2,()=>$$props.children??noop$3),reset(label),append($$anchor2,label)};if_block(node2,$$render=>{$$props.child? -$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}class SvelteResizeObserver{#node;#onResize;constructor(node2,onResize){this.#node=node2,this.#onResize=onResize,this.handler=this.handler.bind(this),user_effect(this.handler)}handler(){let rAF=0;const _node=this.#node();if(!_node)return;const resizeObserver=new ResizeObserver(()=>{cancelAnimationFrame(rAF),rAF=window.requestAnimationFrame(this.#onResize)});return resizeObserver.observe(_node),()=>{window.cancelAnimationFrame( -rAF),resizeObserver.unobserve(_node)}}}class Presence{opts;present;#afterAnimations;#isPresent=state$1(!1);#hasMounted=!1;#transitionStatus=state$1(void 0);#transitionFrame=null;constructor(opts){this.opts=opts,this.present=this.opts.open,set$1(this.#isPresent,opts.open.current,!0),this.#afterAnimations=new AnimationsComplete({ref:this.opts.ref,afterTick:this.opts.open}),onDestroyEffect(()=>this.#clearTransitionFrame()),watch$1(()=>this.present.current,isOpen=>{if(!this.#hasMounted){this.#hasMounted= -!0;return}this.#clearTransitionFrame(),isOpen&&set$1(this.#isPresent,!0),set$1(this.#transitionStatus,isOpen?"starting":"ending",!0),isOpen&&(this.#transitionFrame=window.requestAnimationFrame(()=>{this.#transitionFrame=null,this.present.current&&set$1(this.#transitionStatus,void 0)})),this.#afterAnimations.run(()=>{isOpen===this.present.current&&(isOpen||set$1(this.#isPresent,!1),set$1(this.#transitionStatus,void 0))})})}#_isPresent=user_derived(()=>get$3(this.#isPresent));get isPresent(){return get$3( -this.#_isPresent)}set isPresent(value){set$1(this.#_isPresent,value)}get transitionStatus(){return get$3(this.#transitionStatus)}#clearTransitionFrame(){this.#transitionFrame!==null&&(window.cancelAnimationFrame(this.#transitionFrame),this.#transitionFrame=null)}}function Presence_layer($$anchor,$$props){push$1($$props,!0);const presenceState=new Presence({open:boxWith$1(()=>$$props.open),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(), -node_1=first_child(fragment_1);snippet(node_1,()=>$$props.presence??noop$3,()=>({present:presenceState.isPresent,transitionStatus:presenceState.transitionStatus})),append($$anchor2,fragment_1)};if_block(node2,$$render=>{($$props.forceMount||$$props.open||presenceState.isPresent)&&$$render(consequent)})}append($$anchor,fragment),pop()}function Popover$1($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop( -$$props,"onOpenChangeComplete",3,noop$1);PopoverRootState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function clamp(n,min2,max2){return Math.min(max2,Math.max(min2,n))}class StateMachine{state;#machine;constructor(initialState,machine){ +return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get isStatic(){return isStatic()},get enabled(){return $$props.enabled},get onInteractOutside(){return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus}, +get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside}},()=>restProps,{forceMount:!0}))}var root_4$L=from_html("
"),root_8$z=from_html("
");function Select_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop( +$$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),side=prop($$props,"side",3,"bottom"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),preventScroll=prop($$props,"preventScroll",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","forceMount","side","onInteractOutside","onEscapeKeydown","children","child","preventScroll","style"]);const contentState=SelectContentState. +create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){return side()},get enabled(){ +return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!0,get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(), +node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$L();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block( +node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){return side()},get open(){return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!1,get shouldRender(){return contentState.shouldRender}, +popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child, +()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$z();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{ +forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}function Mounted($$anchor,$$props){push$1($$props,!0);let mounted=prop($$props,"mounted",15,!1),onMountedChange=prop($$props,"onMountedChange",3,noop$1);onMountEffect(()=>(mounted(!0),onMountedChange()(!0),()=>{mounted(!1),onMountedChange()(!1)})),pop()}var root_2$1t=from_html("
"),root$1Z=from_html(" ",1);function Select_item$1($$anchor,$$props){const uid2=props_id();push$1( +$$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),label=prop($$props,"label",19,()=>$$props.value),disabled=prop($$props,"disabled",3,!1),onHighlight=prop($$props,"onHighlight",3,noop$1),onUnhighlight=prop($$props,"onUnhighlight",3,noop$1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","value","label","disabled","children","child","onHighlight","onUnhighlight"]);const itemState=SelectItemState.create({id:boxWith$1(()=>id2()),ref:boxWith$1( +()=>ref2(),v=>ref2(v)),value:boxWith$1(()=>$$props.value),disabled:boxWith$1(()=>disabled()),label:boxWith$1(()=>label()),onHighlight:boxWith$1(()=>onHighlight()),onUnhighlight:boxWith$1(()=>onUnhighlight())}),mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=root$1Z(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...itemState.snippetProps}));snippet( +node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1t();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3,()=>itemState.snippetProps),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Mounted(node_3,{get mounted(){return itemState.mounted},set mounted($$value){itemState.mounted= +$$value}}),append($$anchor,fragment),pop()}var root_2$1s=from_html("
");function Select_viewport($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child"]);const viewportState=SelectViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps, +viewportState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1s();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render( +consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$14=from_html("
"),root_1$1b=from_html(" ",1);function Select_scroll_down_button$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollDownButtonState. +create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$1b(),node_1=first_child(fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1, +2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$14();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_4=child(div);snippet(node_4,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2, +$$render=>{scrollButtonState.canScrollDown&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root_3$13=from_html("
"),root_1$1a=from_html(" ",1);function Select_scroll_up_button$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollUpButtonState. +create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$1a(),node_1=first_child(fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1, +2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$13();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_4=child(div);snippet(node_4,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2, +$$render=>{scrollButtonState.canScrollUp&&$$render(consequent_1)})}append($$anchor,fragment),pop()}function Menu_sub($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);MenuSubmenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()?.(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{ +var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_2$1r=from_html("
");function Menu_item($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),onSelect=prop($$props,"onSelect",3,noop$1),closeOnSelect=prop($$props,"closeOnSelect",3,!0),restProps=rest_props( +$$props,["$$slots","$$events","$$legacy","child","children","ref","id","disabled","onSelect","closeOnSelect"]);const itemState=MenuItemState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()),onSelect:boxWith$1(()=>onSelect()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),closeOnSelect:boxWith$1(()=>closeOnSelect())}),mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(), +node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1r();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1q=from_html("
");function Menu_separator($$anchor,$$props){ +const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","child","children"]);const separatorState=MenuSeparatorState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,separatorState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(), +node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1q();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_4$K=from_html("
"),root_8$y=from_html( +"
");function Menu_sub_content($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),loop2=prop($$props,"loop",3,!0),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"defer-otherwise-close"),escapeKeydownBehavior=prop( +$$props,"escapeKeydownBehavior",3,"defer-otherwise-close"),onOpenAutoFocusProp=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocusProp=prop($$props,"onCloseAutoFocus",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside",3,noop$1),side=prop($$props,"side",3,"right"),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child","loop","onInteractOutside","forceMount","onEscapeKeydown","interactOutsideBehavior","escapeKe\ +ydownBehavior","onOpenAutoFocus","onCloseAutoFocus","onFocusOutside","side","trapFocus","style"]);const subContentState=MenuContentState.create({id:boxWith$1(()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),isSub:!0,onCloseAutoFocus:boxWith$1(()=>handleCloseAutoFocus)});function onkeydown(e){const isKeyDownInside=e.currentTarget.contains(e.target),isCloseKey=SUB_CLOSE_KEYS[subContentState.parentMenu.root.opts.dir.current].includes(e.key);isKeyDownInside&&isCloseKey&&(subContentState. +parentMenu.onClose(),subContentState.parentMenu.triggerNode?.focus(),e.preventDefault())}const dataAttr=user_derived(()=>subContentState.parentMenu.root.getBitsAttr("sub-content")),mergedProps=user_derived(()=>mergeProps(restProps,subContentState.props,{side:side(),onkeydown,[get$3(dataAttr)]:""}));function handleOpenAutoFocus(e){onOpenAutoFocusProp()(e),!e.defaultPrevented&&(e.preventDefault(),subContentState.parentMenu.root.isUsingKeyboard&&subContentState.parentMenu.contentNode&&MenuOpenEvent. +dispatch(subContentState.parentMenu.contentNode))}function handleCloseAutoFocus(e){onCloseAutoFocusProp()(e),!e.defaultPrevented&&e.preventDefault()}function handleInteractOutside(e){onInteractOutside()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleEscapeKeydown(e){onEscapeKeydown()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleOnFocusOutside(e){if(onFocusOutside()(e),e.defaultPrevented||!isHTMLElement$1(e.target)||e.target.id===subContentState. +parentMenu.triggerNode?.id)return;if(subContentState.parentMenu.parentMenu?.contentNode?.contains(e.target)){subContentState.parentMenu.onClose(),e.preventDefault();return}const subContentSelector=`[${subContentState.parentMenu.root.getBitsAttr("sub-content")}]`;if(e.target.closest(subContentSelector)){e.preventDefault();return}subContentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3( +mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onOpenAutoFocus:handleOpenAutoFocus,get enabled(){return subContentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){return loop2()},get trapFocus(){return trapFocus()},get shouldRender(){return subContentState. +shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$3(mergedProps),{style:getFloatingContentCSSVars("menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...subContentState.snippetProps})); +snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$K();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{ +Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onCloseAutoFocus:handleCloseAutoFocus,onOpenAutoFocus:handleOpenAutoFocus,get open(){return subContentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){ +return loop2()},get trapFocus(){return trapFocus()},get shouldRender(){return subContentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$3(mergedProps),{style:getFloatingContentCSSVars("menu")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived( +()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...subContentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$y();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child? +$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$12=from_html("
");function Menu_sub_trigger($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),ref2=prop($$props,"ref",15,null),onSelect=prop( +$$props,"onSelect",3,noop$1),openDelay=prop($$props,"openDelay",3,0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","disabled","ref","children","child","onSelect","openDelay"]);const subTriggerState=MenuSubTriggerState.create({disabled:boxWith$1(()=>disabled()),onSelect:boxWith$1(()=>onSelect()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),openDelay:boxWith$1(()=>openDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,subTriggerState.props));Floating_layer_anchor( +$$anchor,{get id(){return id2()},get ref(){return subTriggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$12();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children?? +noop$3),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function isPointInPolygon(point2,polygon){const[x,y]=point2;let isInside=!1;const length=polygon.length;for(let i=0,j=length-1;i=y!=yj>=y&&x<=(xj-xi)*(y-yi)/(yj-yi)+xi&&(isInside=!isInside)}return isInside}function isInsideRect(point2,rect){ +return point2[0]>=rect.left&&point2[0]<=rect.right&&point2[1]>=rect.top&&point2[1]<=rect.bottom}function getSide(triggerRect,contentRect){const triggerCenterX=triggerRect.left+triggerRect.width/2,triggerCenterY=triggerRect.top+triggerRect.height/2,contentCenterX=contentRect.left+contentRect.width/2,contentCenterY=contentRect.top+contentRect.height/2,deltaX=contentCenterX-triggerCenterX,deltaY=contentCenterY-triggerCenterY;return Math.abs(deltaX)>Math.abs(deltaY)?deltaX>0?"right":"left":deltaY>0? +"bottom":"top"}class SafePolygon{#opts;#buffer;#transitIntentTimeout;#exitPoint=null;#exitTarget=null;#transitTargets=[];#trackedTriggerNode=null;#leaveFallbackRafId=null;#transitIntentTimeoutId=null;#cancelLeaveFallback(){this.#leaveFallbackRafId!==null&&(cancelAnimationFrame(this.#leaveFallbackRafId),this.#leaveFallbackRafId=null)}#scheduleLeaveFallback(){this.#cancelLeaveFallback(),this.#leaveFallbackRafId=requestAnimationFrame(()=>{this.#leaveFallbackRafId=null,!(!this.#exitPoint||!this.#exitTarget)&& +(this.#clearTracking(),this.#opts.onPointerExit())})}#cancelTransitIntentTimeout(){this.#transitIntentTimeoutId!==null&&(clearTimeout(this.#transitIntentTimeoutId),this.#transitIntentTimeoutId=null)}#scheduleTransitIntentTimeout(){this.#transitIntentTimeout!==null&&(this.#cancelTransitIntentTimeout(),this.#transitIntentTimeoutId=window.setTimeout(()=>{this.#transitIntentTimeoutId=null,!(!this.#exitPoint||!this.#exitTarget)&&(this.#clearTracking(),this.#opts.onPointerExit())},this.#transitIntentTimeout))}constructor(opts){ +this.#opts=opts,this.#buffer=opts.buffer??1;const transitIntentTimeout=opts.transitIntentTimeout;this.#transitIntentTimeout=typeof transitIntentTimeout=="number"&&transitIntentTimeout>0?transitIntentTimeout:null,watch$1([opts.triggerNode,opts.contentNode,opts.enabled],([triggerNode,contentNode,enabled])=>{if(!triggerNode||!contentNode||!enabled){this.#trackedTriggerNode=null,this.#clearTracking();return}this.#trackedTriggerNode&&this.#trackedTriggerNode!==triggerNode&&this.#clearTracking(),this.#trackedTriggerNode= +triggerNode;const doc=getDocument$1(triggerNode),handlePointerMove=e=>{this.#onPointerMove([e.clientX,e.clientY],triggerNode,contentNode)},handleTriggerLeave=e=>{const target2=e.relatedTarget;if(isElement$1(target2)&&contentNode.contains(target2))return;const ignoredTargets=this.#opts.ignoredTargets?.()??[];isElement$1(target2)&&ignoredTargets.some(n=>n===target2||n.contains(target2))||(this.#transitTargets=isElement$1(target2)&&ignoredTargets.length>0?ignoredTargets.filter(n=>target2.contains(n)): +[],this.#exitPoint=[e.clientX,e.clientY],this.#exitTarget="content",this.#scheduleLeaveFallback())},handleTriggerEnter=()=>{this.#clearTracking()},handleContentEnter=()=>{this.#clearTracking()},handleContentLeave=e=>{const target2=e.relatedTarget;isElement$1(target2)&&triggerNode.contains(target2)||(this.#exitPoint=[e.clientX,e.clientY],this.#exitTarget="trigger",this.#scheduleLeaveFallback())};return[on(doc,"pointermove",handlePointerMove),on(triggerNode,"pointerleave",handleTriggerLeave),on(triggerNode, +"pointerenter",handleTriggerEnter),on(contentNode,"pointerenter",handleContentEnter),on(contentNode,"pointerleave",handleContentLeave)].reduce((acc,cleanup)=>()=>{acc(),cleanup()},()=>{})})}#onPointerMove(clientPoint,triggerNode,contentNode){if(!this.#exitPoint||!this.#exitTarget)return;this.#cancelLeaveFallback(),this.#scheduleTransitIntentTimeout();const triggerRect=triggerNode.getBoundingClientRect(),contentRect=contentNode.getBoundingClientRect();if(this.#exitTarget==="content"&&isInsideRect( +clientPoint,contentRect)){this.#clearTracking();return}if(this.#exitTarget==="trigger"&&isInsideRect(clientPoint,triggerRect)){this.#clearTracking();return}if(this.#exitTarget==="content"&&this.#transitTargets.length>0)for(const transitTarget of this.#transitTargets){const transitRect=transitTarget.getBoundingClientRect();if(isInsideRect(clientPoint,transitRect))return;const transitSide=getSide(triggerRect,transitRect),transitCorridor=this.#getCorridorPolygon(triggerRect,transitRect,transitSide); +if(transitCorridor&&isPointInPolygon(clientPoint,transitCorridor))return}const side=getSide(triggerRect,contentRect),corridorPoly=this.#getCorridorPolygon(triggerRect,contentRect,side);if(corridorPoly&&isPointInPolygon(clientPoint,corridorPoly))return;const targetRect=this.#exitTarget==="content"?contentRect:triggerRect,safePoly=this.#getSafePolygon(this.#exitPoint,targetRect,side,this.#exitTarget);isPointInPolygon(clientPoint,safePoly)||(this.#clearTracking(),this.#opts.onPointerExit())}#clearTracking(){ +this.#exitPoint=null,this.#exitTarget=null,this.#transitTargets=[],this.#cancelLeaveFallback(),this.#cancelTransitIntentTimeout()}#getCorridorPolygon(triggerRect,contentRect,side){const buffer=this.#buffer;switch(side){case"top":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.top],[Math.min(triggerRect.left,contentRect.left)-buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer, +triggerRect.top]];case"bottom":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.bottom],[Math.min(triggerRect.left,contentRect.left)-buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+buffer,triggerRect.bottom]];case"left":return[[triggerRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math. +max(triggerRect.bottom,contentRect.bottom)+buffer],[triggerRect.left,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]];case"right":return[[triggerRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.left,Math.max(triggerRect.bottom,contentRect.bottom)+buffer],[triggerRect.right,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]]}}#getSafePolygon(exitPoint,targetRect,side,exitTarget){const buffer=this.#buffer* +4,[x,y]=exitPoint;switch(exitTarget==="trigger"?this.#flipSide(side):side){case"top":return[[x-buffer,y+buffer],[x+buffer,y+buffer],[targetRect.right+buffer,targetRect.bottom],[targetRect.right+buffer,targetRect.top],[targetRect.left-buffer,targetRect.top],[targetRect.left-buffer,targetRect.bottom]];case"bottom":return[[x-buffer,y-buffer],[x+buffer,y-buffer],[targetRect.right+buffer,targetRect.top],[targetRect.right+buffer,targetRect.bottom],[targetRect.left-buffer,targetRect.bottom],[targetRect. +left-buffer,targetRect.top]];case"left":return[[x+buffer,y-buffer],[x+buffer,y+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.left,targetRect.bottom+buffer],[targetRect.left,targetRect.top-buffer],[targetRect.right,targetRect.top-buffer]];case"right":return[[x-buffer,y-buffer],[x-buffer,y+buffer],[targetRect.left,targetRect.bottom+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.right,targetRect.top-buffer],[targetRect.left,targetRect.top-buffer]]}}#flipSide(side){ +switch(side){case"top":return"bottom";case"bottom":return"top";case"left":return"right";case"right":return"left"}}}const popoverAttrs=createBitsAttrs({component:"popover",parts:["root","trigger","content","close","overlay"]}),PopoverRootContext=new Context$1("Popover.Root");class PopoverRootState{static create(opts){return PopoverRootContext.set(new PopoverRootState(opts))}opts;#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode, +value,!0)}contentPresence;#triggerNode=state$1(null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#overlayNode=state$1(null);get overlayNode(){return get$3(this.#overlayNode)}set overlayNode(value){set$1(this.#overlayNode,value,!0)}overlayPresence;#openedViaHover=state$1(!1);get openedViaHover(){return get$3(this.#openedViaHover)}set openedViaHover(value){set$1(this.#openedViaHover,value,!0)}#hasInteractedWithContent=state$1(!1);get hasInteractedWithContent(){ +return get$3(this.#hasInteractedWithContent)}set hasInteractedWithContent(value){set$1(this.#hasInteractedWithContent,value,!0)}#hoverCooldown=state$1(!1);get hoverCooldown(){return get$3(this.#hoverCooldown)}set hoverCooldown(value){set$1(this.#hoverCooldown,value,!0)}#closeDelay=state$1(0);get closeDelay(){return get$3(this.#closeDelay)}set closeDelay(value){set$1(this.#closeDelay,value,!0)}#closeTimeout=null;#domContext=null;constructor(opts){this.opts=opts,this.contentPresence=new PresenceManager( +{ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),this.overlayPresence=new PresenceManager({ref:boxWith$1(()=>this.overlayNode),open:this.opts.open}),watch$1(()=>this.opts.open.current,isOpen=>{isOpen||(this.openedViaHover=!1,this.hasInteractedWithContent=!1,this.#clearCloseTimeout())})}setDomContext(ctx){this.#domContext=ctx}#clearCloseTimeout(){this.#closeTimeout!==null&&this.#domContext&&(this.#domContext. +clearTimeout(this.#closeTimeout),this.#closeTimeout=null)}toggleOpen(){this.#clearCloseTimeout(),this.opts.open.current=!this.opts.open.current}handleClose(){this.#clearCloseTimeout(),this.opts.open.current&&(this.opts.open.current=!1)}handleHoverOpen(){this.#clearCloseTimeout(),!this.opts.open.current&&(this.openedViaHover=!0,this.opts.open.current=!0)}handleHoverClose(){this.opts.open.current&&this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1)}handleDelayedHoverClose(){ +this.opts.open.current&&(!this.openedViaHover||this.hasInteractedWithContent||(this.#clearCloseTimeout(),this.closeDelay<=0?this.opts.open.current=!1:this.#domContext&&(this.#closeTimeout=this.#domContext.setTimeout(()=>{this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1),this.#closeTimeout=null},this.closeDelay))))}cancelDelayedClose(){this.#clearCloseTimeout()}markInteraction(){this.hasInteractedWithContent=!0,this.#clearCloseTimeout()}}class PopoverTriggerState{static create(opts){ +return new PopoverTriggerState(opts,PopoverRootContext.get())}opts;root;attachment;domContext;#openTimeout=null;#closeTimeout=null;#isHovering=state$1(!1);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.triggerNode=v),this.domContext=new DOMContext(opts.ref),this.root.setDomContext(this.domContext),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave= +this.onpointerleave.bind(this),watch$1(()=>this.opts.closeDelay.current,delay=>{this.root.closeDelay=delay})}#clearOpenTimeout(){this.#openTimeout!==null&&(this.domContext.clearTimeout(this.#openTimeout),this.#openTimeout=null)}#clearCloseTimeout(){this.#closeTimeout!==null&&(this.domContext.clearTimeout(this.#closeTimeout),this.#closeTimeout=null)}#clearAllTimeouts(){this.#clearOpenTimeout(),this.#clearCloseTimeout()}onpointerenter(e){if(this.opts.disabled.current||!this.opts.openOnHover.current|| +isTouch(e)||(set$1(this.#isHovering,!0),this.#clearCloseTimeout(),this.root.cancelDelayedClose(),this.root.opts.open.current||this.root.hoverCooldown))return;const delay=this.opts.openDelay.current;delay<=0?this.root.handleHoverOpen():this.#openTimeout=this.domContext.setTimeout(()=>{this.root.handleHoverOpen(),this.#openTimeout=null},delay)}onpointerleave(e){this.opts.disabled.current||this.opts.openOnHover.current&&(isTouch(e)||(set$1(this.#isHovering,!1),this.#clearOpenTimeout(),this.root.hoverCooldown= +!1))}onclick(e){if(!this.opts.disabled.current&&e.button===0){if(this.#clearAllTimeouts(),get$3(this.#isHovering)&&this.root.opts.open.current&&this.root.openedViaHover){this.root.openedViaHover=!1,this.root.hasInteractedWithContent=!0;return}get$3(this.#isHovering)&&this.opts.openOnHover.current&&this.root.opts.open.current&&(this.root.hoverCooldown=!0),this.root.hoverCooldown&&!this.root.opts.open.current&&(this.root.hoverCooldown=!1),this.root.toggleOpen()}}onkeydown(e){this.opts.disabled.current|| +(e.key===ENTER||e.key===SPACE)&&(e.preventDefault(),this.#clearAllTimeouts(),this.root.toggleOpen())}#getAriaControls(){if(this.root.opts.open.current&&this.root.contentNode?.id)return this.root.contentNode?.id}#props=user_derived(()=>({id:this.opts.id.current,"aria-haspopup":"dialog","aria-expanded":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root.opts.open.current),"aria-controls":this.#getAriaControls(),[popoverAttrs.trigger]:"",disabled:this.opts.disabled.current, +onkeydown:this.onkeydown,onclick:this.onclick,onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class PopoverContentState{static create(opts){return new PopoverContentState(opts,PopoverRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),this.onpointerdown=this.onpointerdown. +bind(this),this.onfocusin=this.onfocusin.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this),new SafePolygon({triggerNode:()=>this.root.triggerNode,contentNode:()=>this.root.contentNode,enabled:()=>this.root.opts.open.current&&this.root.openedViaHover&&!this.root.hasInteractedWithContent,onPointerExit:()=>{this.root.handleDelayedHoverClose()}})}onpointerdown(_){this.root.markInteraction()}onfocusin(e){const target2=e.target;isElement$1( +target2)&&isTabbable(target2)&&this.root.markInteraction()}onpointerenter(e){isTouch(e)||this.root.cancelDelayedClose()}onpointerleave(e){isTouch(e)}onInteractOutside=e=>{if(this.opts.onInteractOutside.current(e),e.defaultPrevented||!isElement$1(e.target))return;const closestTrigger=e.target.closest(popoverAttrs.selector("trigger"));if(!(closestTrigger&&closestTrigger===this.root.triggerNode)){if(this.opts.customAnchor.current){if(isElement$1(this.opts.customAnchor.current)){if(this.opts.customAnchor. +current.contains(e.target))return}else if(typeof this.opts.customAnchor.current=="string"){const el=document.querySelector(this.opts.customAnchor.current);if(el&&el.contains(e.target))return}}this.root.handleClose()}};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&this.root.handleClose()};get shouldRender(){return this.root.contentPresence.shouldRender}get shouldTrapFocus(){return!(this.root.openedViaHover&&!this.root.hasInteractedWithContent)}#snippetProps=user_derived( +()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,"data-state":getDataOpenClosed(this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),[popoverAttrs.content]:"",style:{pointerEvents:"auto",contain:"layout style"},onpointerdown:this.onpointerdown,onfocusin:this.onfocusin,onpointerenter:this.onpointerenter, +onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown}}var root_4$J=from_html("
"),root_8$x=from_html("
");function Popover_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),forceMount=prop( +$$props,"forceMount",3,!1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!1),customAnchor=prop($$props,"customAnchor",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","forceMo\ +unt","onOpenAutoFocus","onCloseAutoFocus","onEscapeKeydown","onInteractOutside","trapFocus","preventScroll","customAnchor","style"]);const contentState=PopoverContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),customAnchor:boxWith$1(()=>customAnchor())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props)),effectiveTrapFocus=user_derived(()=>trapFocus()&& +contentState.shouldTrapFocus);function handleOpenAutoFocus(e){contentState.shouldTrapFocus||e.preventDefault(),onOpenAutoFocus()(e)}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},get id(){return id2()},get trapFocus(){return get$3(effectiveTrapFocus)},get preventScroll(){ +return preventScroll()},loop:!0,forceMount:!0,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("popover")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2); +{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$J();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3), +reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get open(){return contentState.root.opts.open.current},get id(){return id2()},get trapFocus(){return get$3(effectiveTrapFocus)},get preventScroll(){return preventScroll()}, +loop:!0,forceMount:!1,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("popover")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{ +var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$x();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3), +reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$11=from_html("");function Popover_trigger$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)), +ref2=prop($$props,"ref",15,null),type2=prop($$props,"type",3,"button"),disabled=prop($$props,"disabled",3,!1),openOnHover=prop($$props,"openOnHover",3,!1),openDelay=prop($$props,"openDelay",3,700),closeDelay=prop($$props,"closeDelay",3,300),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","type","disabled","openOnHover","openDelay","closeDelay"]);const triggerState=PopoverTriggerState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)), +disabled:boxWith$1(()=>!!disabled()),openOnHover:boxWith$1(()=>openOnHover()),openDelay:boxWith$1(()=>openDelay()),closeDelay:boxWith$1(()=>closeDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child( +fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$11();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function Dialog($$anchor,$$props){push$1( +$$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);DialogRootState.create({variant:boxWith$1(()=>"dialog"),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_2$1p=from_html("");function Dialog_close($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","disabled"]);const closeState=DialogCloseState.create({variant:boxWith$1(()=>"close"),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled())}), +mergedProps=user_derived(()=>mergeProps(restProps,closeState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1p();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2, +button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_6$x=from_html(" ",1),root_8$w=from_html("
",1);function Dialog_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props, +"onOpenAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","onCloseAutoFocus","onOpenAutoFocus","onEscapeKeydown","onInteractOutside","trapFocus","preventScr\ +oll","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_2=$$anchor2=>{Focus_scope($$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open.current},get onOpenAutoFocus(){return onOpenAutoFocus()}, +get onCloseAutoFocus(){return onCloseAutoFocus()},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer($$anchor3,spread_props(()=>get$3(mergedProps),{get enabled(){return contentState.root.opts.open.current},get ref(){return contentState.opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props(()=>get$3(mergedProps),{get ref(){return contentState. +opts.ref},get enabled(){return contentState.root.opts.open.current},onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child(fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$x(), +node_2=first_child(fragment_6);{var consequent=$$anchor8=>{Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props.child,()=>get$3($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{ +var fragment_8=root_8$w(),node_4=first_child(fragment_8);Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling(node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps),focusScopeProps())]);var node_5=child(div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{ +default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})};if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render(consequent_2)})}append($$anchor,fragment),pop()}function Menu($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),dir=prop($$props,"dir",3,"ltr"),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),variant=prop($$props,"_internal_variant",3,"dropdown-menu"),shouldSkipExitAnimation=prop( +$$props,"_internal_should_skip_exit_animation",3,void 0);const root2=MenuRootState.create({variant:boxWith$1(()=>variant()),dir:boxWith$1(()=>dir()),onClose:()=>{open2(!1),onOpenChange()(!1)},shouldSkipExitAnimation:()=>shouldSkipExitAnimation()?.()??!1});MenuMenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())},root2),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child( +fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$I=from_html("
"),root_8$v=from_html("
");function Dropdown_menu_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),loop2=prop($$props,"loop",3,!0),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop( +$$props,"onEscapeKeydown",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","child","children","ref","loop","onInteractOutside","onEscapeKeydown","onCloseAutoFocus","forceMount","trapFocus","style"]);const contentState=MenuContentState.create({id:boxWith$1(()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)), +onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));function handleInteractOutside(e){if(contentState.handleInteractOutside(e),!e.defaultPrevented&&(onInteractOutside()(e),!e.defaultPrevented)){if(e.target&&e.target instanceof Element){const subContentSelector=`[${contentState.parentMenu.root.getBitsAttr("sub-content")}]`;if(e.target.closest(subContentSelector))return}contentState.parentMenu.onClose()}}function handleEscapeKeydown(e){ +onEscapeKeydown()(e),!e.defaultPrevented&&contentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,get trapFocus(){return trapFocus()},get loop(){return loop2()}, +forceMount:!0,get id(){return id2()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3( +finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$I();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render( +alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get open(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,get trapFocus(){return trapFocus()},get loop(){return loop2()},forceMount:!1,get id(){return id2()},get shouldRender(){return contentState. +shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet( +node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$v();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))}; +if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$10=from_html("");function Menu_trigger($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","chi\ +ld","children","disabled","type"]);const triggerState=DropdownMenuTriggerState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()??!1),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(), +node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$10();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}const labelAttrs=createBitsAttrs( +{component:"label",parts:["root"]});class LabelRootState{static create(opts){return new LabelRootState(opts)}opts;attachment;constructor(opts){this.opts=opts,this.attachment=attachRef(this.opts.ref),this.onmousedown=this.onmousedown.bind(this)}onmousedown(e){e.detail>1&&e.preventDefault()}#props=user_derived(()=>({id:this.opts.id.current,[labelAttrs.root]:"",onmousedown:this.onmousedown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}var root_2$1o=from_html( +"");function Label$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","for"]);const rootState=LabelRootState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{for:$$props.for}));var fragment=comment$2(),node2=first_child( +fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var label=root_2$1o();attribute_effect(label,()=>({...get$3(mergedProps),for:$$props.for}));var node_2=child(label);snippet(node_2,()=>$$props.children??noop$3),reset(label),append($$anchor2,label)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})} +append($$anchor,fragment),pop()}class SvelteResizeObserver{#node;#onResize;constructor(node2,onResize){this.#node=node2,this.#onResize=onResize,this.handler=this.handler.bind(this),user_effect(this.handler)}handler(){let rAF=0;const _node=this.#node();if(!_node)return;const resizeObserver=new ResizeObserver(()=>{cancelAnimationFrame(rAF),rAF=window.requestAnimationFrame(this.#onResize)});return resizeObserver.observe(_node),()=>{window.cancelAnimationFrame(rAF),resizeObserver.unobserve(_node)}}} +class Presence{opts;present;#afterAnimations;#isPresent=state$1(!1);#hasMounted=!1;#transitionStatus=state$1(void 0);#transitionFrame=null;constructor(opts){this.opts=opts,this.present=this.opts.open,set$1(this.#isPresent,opts.open.current,!0),this.#afterAnimations=new AnimationsComplete({ref:this.opts.ref,afterTick:this.opts.open}),onDestroyEffect(()=>this.#clearTransitionFrame()),watch$1(()=>this.present.current,isOpen=>{if(!this.#hasMounted){this.#hasMounted=!0;return}this.#clearTransitionFrame(), +isOpen&&set$1(this.#isPresent,!0),set$1(this.#transitionStatus,isOpen?"starting":"ending",!0),isOpen&&(this.#transitionFrame=window.requestAnimationFrame(()=>{this.#transitionFrame=null,this.present.current&&set$1(this.#transitionStatus,void 0)})),this.#afterAnimations.run(()=>{isOpen===this.present.current&&(isOpen||set$1(this.#isPresent,!1),set$1(this.#transitionStatus,void 0))})})}#_isPresent=user_derived(()=>get$3(this.#isPresent));get isPresent(){return get$3(this.#_isPresent)}set isPresent(value){ +set$1(this.#_isPresent,value)}get transitionStatus(){return get$3(this.#transitionStatus)}#clearTransitionFrame(){this.#transitionFrame!==null&&(window.cancelAnimationFrame(this.#transitionFrame),this.#transitionFrame=null)}}function Presence_layer($$anchor,$$props){push$1($$props,!0);const presenceState=new Presence({open:boxWith$1(()=>$$props.open),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1); +snippet(node_1,()=>$$props.presence??noop$3,()=>({present:presenceState.isPresent,transitionStatus:presenceState.transitionStatus})),append($$anchor2,fragment_1)};if_block(node2,$$render=>{($$props.forceMount||$$props.open||presenceState.isPresent)&&$$render(consequent)})}append($$anchor,fragment),pop()}function Popover$1($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComp\ +lete",3,noop$1);PopoverRootState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function clamp(n,min2,max2){return Math.min(max2,Math.max(min2,n))}class StateMachine{state;#machine;constructor(initialState,machine){ this.state=simpleBox(initialState),this.#machine=machine,this.dispatch=this.dispatch.bind(this)}#reducer(event2){return this.#machine[this.state.current][event2]??this.state.current}dispatch(event2){this.state.current=this.#reducer(event2)}}const scrollAreaAttrs=createBitsAttrs({component:"scroll-area",parts:["root","viewport","corner","thumb","scrollbar"]}),ScrollAreaRootContext=new Context$1("ScrollArea.Root"),ScrollAreaScrollbarContext=new Context$1("ScrollArea.Scrollbar"),ScrollAreaScrollbarVisibleContext=new Context$1( "ScrollArea.ScrollbarVisible"),ScrollAreaScrollbarAxisContext=new Context$1("ScrollArea.ScrollbarAxis"),ScrollAreaScrollbarSharedContext=new Context$1("ScrollArea.ScrollbarShared");class ScrollAreaRootState{static create(opts){return ScrollAreaRootContext.set(new ScrollAreaRootState(opts))}opts;attachment;#scrollAreaNode=state$1(null);get scrollAreaNode(){return get$3(this.#scrollAreaNode)}set scrollAreaNode(value){set$1(this.#scrollAreaNode,value,!0)}#viewportNode=state$1(null);get viewportNode(){ return get$3(this.#viewportNode)}set viewportNode(value){set$1(this.#viewportNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}#scrollbarXNode=state$1(null);get scrollbarXNode(){return get$3(this.#scrollbarXNode)}set scrollbarXNode(value){set$1(this.#scrollbarXNode,value,!0)}#scrollbarYNode=state$1(null);get scrollbarYNode(){return get$3(this.#scrollbarYNode)}set scrollbarYNode(value){set$1(this.#scrollbarYNode, @@ -1053,12 +1056,12 @@ value)}}function toInt(value){return value?Number.parseInt(value,10):0}function sizes,dir="ltr"}){const thumbSizePx=getThumbSize(sizes),thumbCenter=thumbSizePx/2,offset2=pointerOffset||thumbCenter,thumbOffsetFromEnd=thumbSizePx-offset2,minPointerPos=sizes.scrollbar.paddingStart+offset2,maxPointerPos=sizes.scrollbar.size-sizes.scrollbar.paddingEnd-thumbOffsetFromEnd,maxScrollPos=sizes.content-sizes.viewport,scrollRange=dir==="ltr"?[0,maxScrollPos]:[maxScrollPos*-1,0];return linearScale([minPointerPos,maxPointerPos],scrollRange)(pointerPos)}function getThumbOffsetFromScroll({ scrollPos,sizes,dir="ltr"}){const thumbSizePx=getThumbSize(sizes),scrollbarPadding=sizes.scrollbar.paddingStart+sizes.scrollbar.paddingEnd,scrollbar=sizes.scrollbar.size-scrollbarPadding,maxScrollPos=sizes.content-sizes.viewport,maxThumbPos=scrollbar-thumbSizePx,scrollClampRange=dir==="ltr"?[0,maxScrollPos]:[maxScrollPos*-1,0],scrollWithoutMomentum=clamp(scrollPos,scrollClampRange[0],scrollClampRange[1]);return linearScale([0,maxScrollPos],[0,maxThumbPos])(scrollWithoutMomentum)}function linearScale(input,output){ return value=>{if(input[0]===input[1]||output[0]===output[1])return output[0];const ratio=(output[1]-output[0])/(input[1]-input[0]);return output[0]+ratio*(value-input[0])}}function isScrollingWithinScrollbarBounds(scrollPos,maxScrollPos){return scrollPos>0&&scrollPoswin.cancelAnimationFrame(rAF)}var root_2$1o=from_html("
");function Scroll_area$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),type2=prop($$props,"type",3,"ho\ +scrollTop},isHorizontalScroll=prevPosition.left!==position2.left,isVerticalScroll=prevPosition.top!==position2.top;(isHorizontalScroll||isVerticalScroll)&&handler(),prevPosition=position2,rAF=win.requestAnimationFrame(loop2)})(),()=>win.cancelAnimationFrame(rAF)}var root_2$1n=from_html("
");function Scroll_area$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),type2=prop($$props,"type",3,"ho\ ver"),dir=prop($$props,"dir",3,"ltr"),scrollHideDelay=prop($$props,"scrollHideDelay",3,600),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","type","dir","scrollHideDelay","children","child"]);const rootState=ScrollAreaRootState.create({type:boxWith$1(()=>type2()),dir:boxWith$1(()=>dir()),scrollHideDelay:boxWith$1(()=>scrollHideDelay()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props));var fragment=comment$2(), -node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1o();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor, -fragment),pop()}var root$1S=from_html("
");function Scroll_area_viewport($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","children"]);const viewportState=ScrollAreaViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,viewportState. -props)),mergedContentProps=user_derived(()=>mergeProps({},viewportState.contentProps));var div=root$1S();attribute_effect(div,()=>({...get$3(mergedProps)}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(mergedContentProps)}));var node2=child(div_1);snippet(node2,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor,div),pop()}var root_2$1n=from_html("
");function Scroll_area_scrollbar_shared($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props, -["$$slots","$$events","$$legacy","child","children"]);const scrollbarSharedState=ScrollAreaScrollbarSharedState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarSharedState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1n();attribute_effect(div,()=>({ +node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1n();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor, +fragment),pop()}var root$1Y=from_html("
");function Scroll_area_viewport($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","children"]);const viewportState=ScrollAreaViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,viewportState. +props)),mergedContentProps=user_derived(()=>mergeProps({},viewportState.contentProps));var div=root$1Y();attribute_effect(div,()=>({...get$3(mergedProps)}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(mergedContentProps)}));var node2=child(div_1);snippet(node2,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor,div),pop()}var root_2$1m=from_html("
");function Scroll_area_scrollbar_shared($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props, +["$$slots","$$events","$$legacy","child","children"]);const scrollbarSharedState=ScrollAreaScrollbarSharedState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarSharedState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1m();attribute_effect(div,()=>({ ...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_scrollbar_x($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const isMounted=new IsMounted,scrollbarXState=ScrollAreaScrollbarXState.create({mounted:boxWith$1(()=>isMounted.current)}), mergedProps=user_derived(()=>mergeProps(restProps,scrollbarXState.props));Scroll_area_scrollbar_shared($$anchor,spread_props(()=>get$3(mergedProps))),pop()}function Scroll_area_scrollbar_y($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const isMounted=new IsMounted,scrollbarYState=ScrollAreaScrollbarYState.create({mounted:boxWith$1(()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarYState.props));Scroll_area_scrollbar_shared( $$anchor,spread_props(()=>get$3(mergedProps))),pop()}function Scroll_area_scrollbar_visible($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const scrollbarVisibleState=ScrollAreaScrollbarVisibleState.create();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Scroll_area_scrollbar_x($$anchor2,spread_props(()=>restProps))},alternate=$$anchor2=>{Scroll_area_scrollbar_y($$anchor2,spread_props(()=>restProps))};if_block( @@ -1069,33 +1072,33 @@ $$slots:{presence:!0}}))}pop()}function Scroll_area_scrollbar_hover($$anchor,$$p ible":"hidden"})),open2=user_derived(()=>forceMount()||scrollbarHoverState.isVisible&&scrollbarAutoState.isVisible);Presence_layer($$anchor,{get open(){return get$3(open2)},get ref(){return scrollbarAutoState.scrollbar.opts.ref},presence:$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>get$3(mergedProps)))},$$slots:{presence:!0}}),pop()}function Scroll_area_scrollbar$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props, "id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","orientation"]);const scrollbarState=ScrollAreaScrollbarState.create({orientation:boxWith$1(()=>$$props.orientation),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),type2=user_derived(()=>scrollbarState.root.opts.type.current);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Scroll_area_scrollbar_hover($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))}, consequent_1=$$anchor2=>{Scroll_area_scrollbar_scroll($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))},consequent_2=$$anchor2=>{Scroll_area_scrollbar_auto($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))},consequent_3=$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))};if_block(node2,$$render=>{get$3(type2)==="hover"?$$render(consequent):get$3(type2)==="scroll"?$$render(consequent_1,1):get$3(type2)==="auto"?$$render( -consequent_2,2):get$3(type2)==="always"&&$$render(consequent_3,3)})}append($$anchor,fragment),pop()}var root_2$1m=from_html("
");function Scroll_area_thumb_impl($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","child","children","present"]);const isMounted=new IsMounted,thumbState=ScrollAreaThumbImplState.create({id:boxWith$1(()=>$$props.id),ref:boxWith$1(()=>ref2(),v=>ref2(v)),mounted:boxWith$1( -()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props,{style:{hidden:!$$props.present}}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1m();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props. +consequent_2,2):get$3(type2)==="always"&&$$render(consequent_3,3)})}append($$anchor,fragment),pop()}var root_2$1l=from_html("
");function Scroll_area_thumb_impl($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","child","children","present"]);const isMounted=new IsMounted,thumbState=ScrollAreaThumbImplState.create({id:boxWith$1(()=>$$props.id),ref:boxWith$1(()=>ref2(),v=>ref2(v)),mounted:boxWith$1( +()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props,{style:{hidden:!$$props.present}}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1l();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props. children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_thumb($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","forceMount"]);const scrollbarState=ScrollAreaScrollbarVisibleContext. -get();{const presence=($$anchor2,$$arg0)=>{let present=()=>$$arg0?.().present;Scroll_area_thumb_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get present(){return present()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};let $0=user_derived(()=>forceMount()||scrollbarState.hasThumb);Presence_layer($$anchor,{get open(){return get$3($0)},get ref(){return scrollbarState.scrollbar.opts.ref},presence,$$slots:{presence:!0}})}pop()}var root_2$1l=from_html("
{let present=()=>$$arg0?.().present;Scroll_area_thumb_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get present(){return present()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};let $0=user_derived(()=>forceMount()||scrollbarState.hasThumb);Presence_layer($$anchor,{get open(){return get$3($0)},get ref(){return scrollbarState.scrollbar.opts.ref},presence,$$slots:{presence:!0}})}pop()}var root_2$1k=from_html("
");function Scroll_area_corner_impl($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","children","child"]);const cornerState=ScrollAreaCornerImplState.create({id:boxWith$1(()=>$$props.id),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,cornerState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(), -node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1l();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_corner($$anchor,$$props){const uid2=props_id(); +node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1k();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_corner($$anchor,$$props){const uid2=props_id(); push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id"]);const scrollAreaState=ScrollAreaRootContext.get(),hasBothScrollbarsVisible=user_derived(()=>!!(scrollAreaState.scrollbarXNode&&scrollAreaState.scrollbarYNode)),hasCorner=user_derived(()=>scrollAreaState.opts.type.current!=="scroll"&&get$3(hasBothScrollbarsVisible));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{ -Scroll_area_corner_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};if_block(node2,$$render=>{get$3(hasCorner)&&$$render(consequent)})}append($$anchor,fragment),pop()}var root$1R=from_html(" ",1);function Select($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15),onValueChange=prop($$props,"onValueChange",3,noop$1),name=prop($$props,"name",3,""),disabled=prop($$props,"disabled",3,!1),open2=prop( +Scroll_area_corner_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};if_block(node2,$$render=>{get$3(hasCorner)&&$$render(consequent)})}append($$anchor,fragment),pop()}var root$1X=from_html(" ",1);function Select($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15),onValueChange=prop($$props,"onValueChange",3,noop$1),name=prop($$props,"name",3,""),disabled=prop($$props,"disabled",3,!1),open2=prop( $$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),loop2=prop($$props,"loop",3,!1),scrollAlignment=prop($$props,"scrollAlignment",3,"nearest"),required2=prop($$props,"required",3,!1),items2=prop($$props,"items",19,()=>[]),allowDeselect=prop($$props,"allowDeselect",3,!1);function handleDefaultValue(){value()===void 0&&value($$props.type==="single"?"":[])}handleDefaultValue(),watch$1.pre(()=>value(),()=>{handleDefaultValue()}); let inputValue=state$1("");const rootState=SelectRootState.create({type:$$props.type,value:boxWith$1(()=>value(),v=>{value(v),onValueChange()(v)}),disabled:boxWith$1(()=>disabled()),required:boxWith$1(()=>required2()),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),loop:boxWith$1(()=>loop2()),scrollAlignment:boxWith$1(()=>scrollAlignment()),name:boxWith$1(()=>name()),isCombobox:!1,items:boxWith$1(()=>items2()),allowDeselect:boxWith$1(()=>allowDeselect()),inputValue:boxWith$1(()=>get$3( -inputValue),v=>set$1(inputValue,v,!0)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=root$1R(),node2=first_child(fragment);Floating_layer(node2,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent=$$anchor3=>{ +inputValue),v=>set$1(inputValue,v,!0)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=root$1X(),node2=first_child(fragment);Floating_layer(node2,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent=$$anchor3=>{ Select_hidden_input($$anchor3,{get autocomplete(){return $$props.autocomplete}})},alternate=$$anchor3=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);each(node_4,16,()=>rootState.opts.value.current,item=>item,($$anchor4,item)=>{Select_hidden_input($$anchor4,{get value(){return item},get autocomplete(){return $$props.autocomplete}})}),append($$anchor3,fragment_4)};if_block(node_3,$$render=>{rootState.opts.value.current.length===0?$$render(consequent):$$render(alternate,-1)})}append($$anchor2, -fragment_2)},d2=user_derived(()=>Array.isArray(rootState.opts.value.current)),alternate_1=$$anchor2=>{Select_hidden_input($$anchor2,{get autocomplete(){return $$props.autocomplete},get value(){return rootState.opts.value.current},set value($$value){rootState.opts.value.current=$$value}})};if_block(node_2,$$render=>{get$3(d2)?$$render(consequent_1):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}var root_3$X=from_html("");function Select_trigger$1($$anchor,$$props){ +fragment_2)},d2=user_derived(()=>Array.isArray(rootState.opts.value.current)),alternate_1=$$anchor2=>{Select_hidden_input($$anchor2,{get autocomplete(){return $$props.autocomplete},get value(){return rootState.opts.value.current},set value($$value){rootState.opts.value.current=$$value}})};if_block(node_2,$$render=>{get$3(d2)?$$render(consequent_1):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}var root_3$$=from_html("");function Select_trigger$1($$anchor,$$props){ const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","type"]);const triggerState=SelectTriggerState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));var fragment=comment$2(),node2=first_child( -fragment);component(node2,()=>Floating_layer_anchor,($$anchor2,FloatingLayer_Anchor)=>{FloatingLayer_Anchor($$anchor2,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor4=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor4,fragment_2)},alternate=$$anchor4=>{var button=root_3$X(); +fragment);component(node2,()=>Floating_layer_anchor,($$anchor2,FloatingLayer_Anchor)=>{FloatingLayer_Anchor($$anchor2,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor4=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor4,fragment_2)},alternate=$$anchor4=>{var button=root_3$$(); attribute_effect(button,()=>({...get$3(mergedProps)}));var node_3=child(button);snippet(node_3,()=>$$props.children??noop$3),reset(button),append($$anchor4,button)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}const switchAttrs=createBitsAttrs({component:"switch",parts:["root","thumb"]}),SwitchRootContext=new Context$1("Switch.Root");class SwitchRootState{static create(opts){ return SwitchRootContext.set(new SwitchRootState(opts))}opts;attachment;constructor(opts){this.opts=opts,this.attachment=attachRef(opts.ref),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this)}#toggle(){this.opts.checked.current=!this.opts.checked.current}onkeydown(e){!(e.key===ENTER||e.key===SPACE)||this.opts.disabled.current||(e.preventDefault(),this.#toggle())}onclick(_){this.opts.disabled.current||this.#toggle()}#sharedProps=user_derived(()=>({"data-disabled":boolToEmptyStrOrUndef( this.opts.disabled.current),"data-state":getDataChecked(this.opts.checked.current),"data-required":boolToEmptyStrOrUndef(this.opts.required.current)}));get sharedProps(){return get$3(this.#sharedProps)}set sharedProps(value){set$1(this.#sharedProps,value)}#snippetProps=user_derived(()=>({checked:this.opts.checked.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({...this.sharedProps,id:this.opts.id.current, role:"switch",disabled:boolToTrueOrUndef(this.opts.disabled.current),"aria-checked":getAriaChecked(this.opts.checked.current,!1),"aria-required":boolToStr(this.opts.required.current),[switchAttrs.root]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SwitchInputState{static create(){return new SwitchInputState(SwitchRootContext.get())}root;#shouldRender=user_derived(()=>this.root.opts.name. current!==void 0);get shouldRender(){return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(root2){this.root=root2}#props=user_derived(()=>({type:"checkbox",name:this.root.opts.name.current,value:this.root.opts.value.current,checked:this.root.opts.checked.current,disabled:this.root.opts.disabled.current,required:this.root.opts.required.current}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SwitchThumbState{static create(opts){ return new SwitchThumbState(opts,SwitchRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref)}#snippetProps=user_derived(()=>({checked:this.root.opts.checked.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({...this.root.sharedProps,id:this.opts.id.current,[switchAttrs.thumb]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){ -set$1(this.#props,value)}}function Switch_input($$anchor,$$props){push$1($$props,!1);const inputState=SwitchInputState.create();init();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1k=from_html(""),root$1Q=from_html(" ",1);function Switch$1($$anchor,$$props){const uid2=props_id(); +set$1(this.#props,value)}}function Switch_input($$anchor,$$props){push$1($$props,!1);const inputState=SwitchInputState.create();init();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1j=from_html(""),root$1W=from_html(" ",1);function Switch$1($$anchor,$$props){const uid2=props_id(); push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),required2=prop($$props,"required",3,!1),checked=prop($$props,"checked",15,!1),value=prop($$props,"value",3,"on"),name=prop($$props,"name",3,void 0),type2=prop($$props,"type",3,"button"),onCheckedChange=prop($$props,"onCheckedChange",3,noop$1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","disabled","required","ch\ -ecked","value","name","type","onCheckedChange"]);const rootState=SwitchRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),onCheckedChange()?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),value:boxWith$1(()=>value()),name:boxWith$1(()=>name()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{type:type2()}));var fragment=root$1Q(),node2=first_child(fragment);{var consequent=$$anchor2=>{ -var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1k();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render( -consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Switch_input(node_3,{}),append($$anchor,fragment),pop()}var root_2$1j=from_html("");function Switch_thumb($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id"]);const thumbState=SwitchThumbState.create({id:boxWith$1(()=>id2()),ref:boxWith$1( -()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...thumbState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var span=root_2$1j();attribute_effect(span,()=>({...get$3(mergedProps)}));var node_2=child( +ecked","value","name","type","onCheckedChange"]);const rootState=SwitchRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),onCheckedChange()?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),value:boxWith$1(()=>value()),name:boxWith$1(()=>name()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{type:type2()}));var fragment=root$1W(),node2=first_child(fragment);{var consequent=$$anchor2=>{ +var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1j();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render( +consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Switch_input(node_3,{}),append($$anchor,fragment),pop()}var root_2$1i=from_html("");function Switch_thumb($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id"]);const thumbState=SwitchThumbState.create({id:boxWith$1(()=>id2()),ref:boxWith$1( +()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...thumbState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var span=root_2$1i();attribute_effect(span,()=>({...get$3(mergedProps)}));var node_2=child( span);snippet(node_2,()=>$$props.children??noop$3,()=>thumbState.snippetProps),reset(span),append($$anchor2,span)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}class TimeoutFn{#interval;#cb;#timer=null;constructor(cb,interval){this.#cb=cb,this.#interval=interval,this.stop=this.stop.bind(this),this.start=this.start.bind(this),onDestroyEffect(this.stop)}#clear(){this.#timer!==null&&(window.clearTimeout(this.#timer),this.#timer= null)}stop(){this.#clear()}start(...args){this.#clear(),this.#timer=window.setTimeout(()=>{this.#timer=null,this.#cb(...args)},this.#interval)}}const tooltipAttrs=createBitsAttrs({component:"tooltip",parts:["content","trigger"]}),TooltipProviderContext=new Context$1("Tooltip.Provider"),TooltipRootContext=new Context$1("Tooltip.Root");class TooltipTriggerRegistryState{#triggers=state$1(proxy(new Map));get triggers(){return get$3(this.#triggers)}set triggers(value){set$1(this.#triggers,value,!0)}#activeTriggerId=state$1( null);get activeTriggerId(){return get$3(this.#activeTriggerId)}set activeTriggerId(value){set$1(this.#activeTriggerId,value,!0)}#activeTriggerNode=user_derived(()=>{const activeTriggerId=this.activeTriggerId;return activeTriggerId===null?null:this.triggers.get(activeTriggerId)?.node??null});get activeTriggerNode(){return get$3(this.#activeTriggerNode)}set activeTriggerNode(value){set$1(this.#activeTriggerNode,value)}#activePayload=user_derived(()=>{const activeTriggerId=this.activeTriggerId;return activeTriggerId=== @@ -1129,164 +1132,205 @@ onPointerExit:()=>{this.root.provider.isTooltipOpen(this.root)&&this.root.handle return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,"data-state":this.root.stateAttr,"data-disabled":boolToEmptyStrOrUndef(this.root.disabled),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),style:{outline:"none"},[tooltipAttrs.content]:"",...this.attachment}));get props(){ return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown,onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus}}function Tooltip($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),triggerId=prop($$props,"triggerId",15,null),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);const rootState=TooltipRootState. create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),triggerId:boxWith$1(()=>triggerId(),v=>{triggerId(v)}),delayDuration:boxWith$1(()=>$$props.delayDuration),disableCloseOnTriggerClick:boxWith$1(()=>$$props.disableCloseOnTriggerClick),disableHoverableContent:boxWith$1(()=>$$props.disableHoverableContent),ignoreNonKeyboardFocus:boxWith$1(()=>$$props.ignoreNonKeyboardFocus),disabled:boxWith$1(()=>$$props.disabled),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete()),tether:boxWith$1( -()=>$$props.tether)});Floating_layer($$anchor,{tooltip:!0,children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3,()=>({open:rootState.opts.open.current,triggerId:rootState.activeTriggerId,payload:rootState.activePayload})),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$C=from_html("
"),root_8$s=from_html("
");function Tooltip_content$1($$anchor,$$props){ +()=>$$props.tether)});Floating_layer($$anchor,{tooltip:!0,children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3,()=>({open:rootState.opts.open.current,triggerId:rootState.activeTriggerId,payload:rootState.activePayload})),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$H=from_html("
"),root_8$u=from_html("
");function Tooltip_content$1($$anchor,$$props){ const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),side=prop($$props,"side",3,"top"),sideOffset=prop($$props,"sideOffset",3,0),align=prop($$props,"align",3,"center"),avoidCollisions=prop($$props,"avoidCollisions",3,!0),arrowPadding=prop($$props,"arrowPadding",3,0),sticky=prop($$props,"sticky",3,"partial"),hideWhenDetached=prop($$props,"hideWhenDetached",3,!1),collisionPadding=prop($$props,"collisionPadding",3,0),onInteractOutside=prop( $$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","side","sideOffset","align","avoidCollisions","arrowPadding","sticky","strategy","hideWhenDetached","customAnchor","collisionPadding","onInteractOutside","onEscapeKeydown","forceMount","style"]);const contentState=TooltipContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1( ()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown())}),floatingProps=user_derived(()=>({side:side(),sideOffset:sideOffset(),align:align(),avoidCollisions:avoidCollisions(),arrowPadding:arrowPadding(),sticky:sticky(),hideWhenDetached:hideWhenDetached(),collisionPadding:collisionPadding(),strategy:$$props.strategy,customAnchor:$$props.customAnchor??contentState.root.triggerNode})),mergedProps=user_derived(()=>mergeProps(restProps, -get$3(floatingProps),contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{{const popper=($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("tooltip")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $02=user_derived( -()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($02))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$C();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent): -$$render(alternate,-1)})}append($$anchor3,fragment_2)};let $0=user_derived(()=>contentState.root.disableHoverableContent?"none":"auto");Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get enabled(){return contentState.root.opts.open.current},get id(){return id2()},trapFocus:!1,loop:!1,preventScroll:!1,forceMount:!0,get ref(){return contentState.opts.ref},tooltip:!0,get shouldRender(){return contentState.shouldRender},get contentPointerEvents(){ -return get$3($0)},popper,$$slots:{popper:!0}}))}},consequent_3=$$anchor2=>{{const popper=($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("tooltip")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $02=user_derived(()=>({props:get$3(finalProps), -wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($02))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$s();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render( -alternate_1,-1)})}append($$anchor3,fragment_5)};let $0=user_derived(()=>contentState.root.disableHoverableContent?"none":"auto");Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get open(){return contentState.root.opts.open.current},get id(){return id2()},trapFocus:!1,loop:!1,preventScroll:!1,forceMount:!1,get ref(){return contentState.opts.ref},tooltip:!0,get shouldRender(){return contentState.shouldRender},get contentPointerEvents(){return get$3($0)},popper, -$$slots:{popper:!0}}))}};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_2$1i=from_html("");function Tooltip_trigger$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),type2=prop($$props,"type",3,"button"),tabindex=prop($$props,"tabindex",3,0),ref2=prop($$props,"ref",15,null),restProps=rest_props( -$$props,["$$slots","$$events","$$legacy","children","child","id","disabled","payload","tether","type","tabindex","ref"]);const triggerState=TooltipTriggerState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()??!1),tabindex:boxWith$1(()=>tabindex()??0),payload:boxWith$1(()=>$$props.payload),tether:boxWith$1(()=>$$props.tether),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));var fragment=comment$2(),node2=first_child( -fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1i();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor, -fragment),pop()}function Tooltip_arrow($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);Floating_layer_arrow($$anchor,spread_props(()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}})),pop()}function Tooltip_provider($$anchor,$$props){push$1($$props,!0);let delayDuration=prop($$props,"delayDuration",3,700),disableCloseOnTriggerClick=prop($$props,"disableCloseOnTriggerClick",3,!1),disableHoverableContent=prop( -$$props,"disableHoverableContent",3,!1),disabled=prop($$props,"disabled",3,!1),ignoreNonKeyboardFocus=prop($$props,"ignoreNonKeyboardFocus",3,!1),skipDelayDuration=prop($$props,"skipDelayDuration",3,300);TooltipProviderState.create({delayDuration:boxWith$1(()=>delayDuration()),disableCloseOnTriggerClick:boxWith$1(()=>disableCloseOnTriggerClick()),disableHoverableContent:boxWith$1(()=>disableHoverableContent()),disabled:boxWith$1(()=>disabled()),ignoreNonKeyboardFocus:boxWith$1(()=>ignoreNonKeyboardFocus()), -skipDelayDuration:boxWith$1(()=>skipDelayDuration())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}function Tooltip_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Tooltip_trigger$1,($$anchor2,TooltipPrimitive_Trigger)=>{TooltipPrimitive_Trigger( -$$anchor2,spread_props({"data-slot":"tooltip-trigger",class:"cursor-pointer"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}var root_3$W=from_html("
"),root_2$1h=from_html(" ",1);function Tooltip_content($$anchor,$$props){push$1($$props,!0);const tooltipContent=$$anchor2=>{var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Tooltip_content$1,($$anchor3,TooltipPrimitive_Content)=>{TooltipPrimitive_Content( -$$anchor3,spread_props({"data-slot":"tooltip-content",get sideOffset(){return sideOffset()},get side(){return side()},get class(){return get$3(contentClass)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$1h(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);{const child2=($$anchor5,$$arg0)=>{let props=()=>$$arg0?.().props;var div=root_3$W();attribute_effect( -div,$0=>({class:$0,...props()}),[()=>cn$1("z-50 size-2.5 rotate-45 rounded-[2px] bg-primary","data-[side=top]:translate-x-1/2 data-[side=top]:translate-y-[calc(-50%_+_2px)]","data-[side=bottom]:-translate-x-1/2 data-[side=bottom]:-translate-y-[calc(-50%_+_1px)]","data-[side=right]:translate-x-[calc(50%_+_2px)] data-[side=right]:translate-y-1/2","data-[side=left]:-translate-y-[calc(50%_-_3px)]",$$props.arrowClasses)]),append($$anchor5,div)};component(node_2,()=>Tooltip_arrow,($$anchor5,TooltipPrimitive_Arrow)=>{ -TooltipPrimitive_Arrow($$anchor5,{child:child2,$$slots:{child:!0}})})}append($$anchor4,fragment_1)},$$slots:{default:!0}}))}),append($$anchor2,fragment)};let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,0),side=prop($$props,"side",3,"top"),noPortal=prop($$props,"noPortal",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","side","children","arrowClasses","noPortal"]);const contentClass=user_derived(()=>cn$1("z-50 w-fit origin\ --(--bits-tooltip-content-transform-origin) animate-in rounded-md bg-primary px-3 py-1.5 text-xs text-balance text-primary-foreground fade-in-0 zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95",$$props.class));var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent=$$anchor2=>{ -tooltipContent($$anchor2)},alternate=$$anchor2=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);component(node_4,()=>Portal$2,($$anchor3,TooltipPrimitive_Portal)=>{TooltipPrimitive_Portal($$anchor3,{children:($$anchor4,$$slotProps)=>{tooltipContent($$anchor4)},$$slots:{default:!0}})}),append($$anchor2,fragment_4)};if_block(node_3,$$render=>{noPortal()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment_2),pop()}const Root$5=Tooltip,Provider=Tooltip_provider;var AttachmentType=(AttachmentType2=>(AttachmentType2. -AUDIO="AUDIO",AttachmentType2.IMAGE="IMAGE",AttachmentType2.MCP_PROMPT="MCP_PROMPT",AttachmentType2.MCP_RESOURCE="MCP_RESOURCE",AttachmentType2.PDF="PDF",AttachmentType2.TEXT="TEXT",AttachmentType2.LEGACY_CONTEXT="context",AttachmentType2))(AttachmentType||{}),AttachmentMenuItemId=(AttachmentMenuItemId2=>(AttachmentMenuItemId2.IMAGES="images",AttachmentMenuItemId2.AUDIO="audio",AttachmentMenuItemId2.TEXT="text",AttachmentMenuItemId2.PDF="pdf",AttachmentMenuItemId2.SYSTEM_MESSAGE="system-message", -AttachmentMenuItemId2.MCP_PROMPT="mcp-prompt",AttachmentMenuItemId2.MCP_RESOURCES="mcp-resources",AttachmentMenuItemId2))(AttachmentMenuItemId||{}),AttachmentItemEnabledWhen=(AttachmentItemEnabledWhen2=>(AttachmentItemEnabledWhen2.ALWAYS="always",AttachmentItemEnabledWhen2.HAS_VISION_MODALITY="hasVisionModality",AttachmentItemEnabledWhen2.HAS_AUDIO_MODALITY="hasAudioModality",AttachmentItemEnabledWhen2))(AttachmentItemEnabledWhen||{}),AttachmentAction=(AttachmentAction2=>(AttachmentAction2.FILE_UPLOAD= -"onFileUpload",AttachmentAction2.SYSTEM_PROMPT_CLICK="onSystemPromptClick",AttachmentAction2.MCP_PROMPT_CLICK="onMcpPromptClick",AttachmentAction2.MCP_RESOURCES_CLICK="onMcpResourcesClick",AttachmentAction2))(AttachmentAction||{}),AttachmentItemVisibleWhen=(AttachmentItemVisibleWhen2=>(AttachmentItemVisibleWhen2.HAS_MCP_PROMPTS_SUPPORT="hasMcpPromptsSupport",AttachmentItemVisibleWhen2.HAS_MCP_RESOURCES_SUPPORT="hasMcpResourcesSupport",AttachmentItemVisibleWhen2))(AttachmentItemVisibleWhen||{}),ToolCallType=(ToolCallType2=>(ToolCallType2. -FUNCTION="function",ToolCallType2))(ToolCallType||{}),AgenticSectionType=(AgenticSectionType2=>(AgenticSectionType2.TEXT="text",AgenticSectionType2.TOOL_CALL="tool_call",AgenticSectionType2.TOOL_CALL_PENDING="tool_call_pending",AgenticSectionType2.TOOL_CALL_STREAMING="tool_call_streaming",AgenticSectionType2.REASONING="reasoning",AgenticSectionType2.REASONING_PENDING="reasoning_pending",AgenticSectionType2))(AgenticSectionType||{}),ChatMessageStatsView=(ChatMessageStatsView2=>(ChatMessageStatsView2. -GENERATION="generation",ChatMessageStatsView2.READING="reading",ChatMessageStatsView2.TOOLS="tools",ChatMessageStatsView2.SUMMARY="summary",ChatMessageStatsView2))(ChatMessageStatsView||{}),ReasoningFormat=(ReasoningFormat2=>(ReasoningFormat2.NONE="none",ReasoningFormat2.AUTO="auto",ReasoningFormat2))(ReasoningFormat||{}),MessageRole=(MessageRole2=>(MessageRole2.USER="user",MessageRole2.ASSISTANT="assistant",MessageRole2.SYSTEM="system",MessageRole2.TOOL="tool",MessageRole2))(MessageRole||{}),MessageType=(MessageType2=>(MessageType2. +get$3(floatingProps),contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{{const popper=($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalWrapperProps=user_derived(()=>mergeProps(wrapperProps(),{style:{pointerEvents:contentState.root.disableHoverableContent?"none":void 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Copy($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"14",height:"14",x:"8",y:"8",rx:"2",ry:"2"}],["path",{d:"M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2"}]];Icon($$anchor,spread_props({name:"copy"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2, +fragment_1)},$$slots:{default:!0}})),pop()}function Database($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["ellipse",{cx:"12",cy:"5",rx:"9",ry:"3"}],["path",{d:"M3 5V19A9 3 0 0 0 21 19V5"}],["path",{d:"M3 12A9 3 0 0 0 21 12"}]];Icon($$anchor,spread_props({name:"database"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props. +children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Download($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 15V3"}],["path",{d:"M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"}],["path",{d:"m7 10 5 5 5-5"}]];Icon($$anchor,spread_props({name:"download"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1); +snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Ellipsis($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"1"}],["circle",{cx:"19",cy:"12",r:"1"}],["circle",{cx:"5",cy:"12",r:"1"}]];Icon($$anchor,spread_props({name:"ellipsis"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child( +fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function External_link($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 3h6v6"}],["path",{d:"M10 14 21 3"}],["path",{d:"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"}]];Icon($$anchor,spread_props({name:"external-link"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{ +var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Eye($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M2.062 12.348a1 1 0 0 1 0-.696 10.75 10.75 0 0 1 19.876 0 1 1 0 0 1 0 .696 10.75 10.75 0 0 1-19.876 0"}],["circle",{cx:"12",cy:"12",r:"3"}]];Icon($$anchor,spread_props({name:"eye"},()=>props,{get iconNode(){ +return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File_text($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}],["path",{d:"M10 9H8"}],["path",{d:"M16\ + 13H8"}],["path",{d:"M16 17H8"}]];Icon($$anchor,spread_props({name:"file-text"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File_x($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2\ + 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}],["path",{d:"m14.5 12.5-5 5"}],["path",{d:"m9.5 12.5 5 5"}]];Icon($$anchor,spread_props({name:"file-x"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File$1($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots", +"$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}]];Icon($$anchor,spread_props({name:"file"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var 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Gauge($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m12 14 4-4"}],["path",{d:"M3.34 19a10 10 0 1 1 17.32 0"}]];Icon($$anchor,spread_props({name:"gauge"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{ +var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Git_branch($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["line",{x1:"6",x2:"6",y1:"3",y2:"15"}],["circle",{cx:"18",cy:"6",r:"3"}],["circle",{cx:"6",cy:"18",r:"3"}],["path",{d:"M18 9a9 9 0 0 1-9 9"}]];Icon($$anchor,spread_props({name:"git-branch"},()=>props,{ +get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Globe($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["path",{d:"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20"}],["path",{d:"M2 12h20"}]];Icon($$anchor,spread_props( +{name:"globe"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Heart_off($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["line",{x1:"2",y1:"2",x2:"22",y2:"22"}],["path",{d:"M16.5 16.5 12 21l-7-7c-1.5-1.45-3-3.2-3-5.5a5.5 5.5 0 0 1\ + 2.14-4.35"}],["path",{d:"M8.76 3.1c1.15.22 2.13.78 3.24 1.9 1.5-1.5 2.74-2 4.5-2A5.5 5.5 0 0 1 22 8.5c0 2.12-1.3 3.78-2.67 5.17"}]];Icon($$anchor,spread_props({name:"heart-off"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Heart($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,[ +"$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z"}]];Icon($$anchor,spread_props({name:"heart"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Image$1($$anchor,$$props){ +push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2",ry:"2"}],["circle",{cx:"9",cy:"9",r:"2"}],["path",{d:"m21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21"}]];Icon($$anchor,spread_props({name:"image"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}, +$$slots:{default:!0}})),pop()}function Info$1($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["path",{d:"M12 16v-4"}],["path",{d:"M12 8h.01"}]];Icon($$anchor,spread_props({name:"info"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}, +$$slots:{default:!0}})),pop()}function Key($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m15.5 7.5 2.3 2.3a1 1 0 0 0 1.4 0l2.1-2.1a1 1 0 0 0 0-1.4L19 4"}],["path",{d:"m21 2-9.6 9.6"}],["circle",{cx:"7.5",cy:"15.5",r:"5.5"}]];Icon($$anchor,spread_props({name:"key"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props. +children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Layers($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83z"}],["path",{d:"M2 12a1 1 0 0 0 .58.91l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9A1 1 0 0 0 22 12"}],["path",{d:"M2 17a1 1 0 0 0 .58.91l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9A1 1 0 \ +0 0 22 17"}]];Icon($$anchor,spread_props({name:"layers"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function List_checks($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m3 17 2 2 4-4"}],["path",{d:"m3 7 2 2 4-4"}],["path",{ +d:"M13 6h8"}],["path",{d:"M13 12h8"}],["path",{d:"M13 18h8"}]];Icon($$anchor,spread_props({name:"list-checks"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function List_restart($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"\ +M21 6H3"}],["path",{d:"M7 12H3"}],["path",{d:"M7 18H3"}],["path",{d:"M12 18a5 5 0 0 0 9-3 4.5 4.5 0 0 0-4.5-4.5c-1.33 0-2.54.54-3.41 1.41L11 14"}],["path",{d:"M11 10v4h4"}]];Icon($$anchor,spread_props({name:"list-restart"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Loader_circle($$anchor,$$props){ +push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M21 12a9 9 0 1 1-6.219-8.56"}]];Icon($$anchor,spread_props({name:"loader-circle"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Message_square($$anchor,$$props){push$1($$props,!0);let props=rest_props( +$$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"}]];Icon($$anchor,spread_props({name:"message-square"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Mic($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props, +["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 2a3 3 0 0 0-3 3v7a3 3 0 0 0 6 0V5a3 3 0 0 0-3-3Z"}],["path",{d:"M19 10v2a7 7 0 0 1-14 0v-2"}],["line",{x1:"12",x2:"12",y1:"19",y2:"22"}]];Icon($$anchor,spread_props({name:"mic"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Minus($$anchor,$$props){ +push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M5 12h14"}]];Icon($$anchor,spread_props({name:"minus"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Monitor($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","\ +$$events","$$legacy"]);const iconNode=[["rect",{width:"20",height:"14",x:"2",y:"3",rx:"2"}],["line",{x1:"8",x2:"16",y1:"21",y2:"21"}],["line",{x1:"12",x2:"12",y1:"17",y2:"21"}]];Icon($$anchor,spread_props({name:"monitor"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Moon($$anchor,$$props){push$1( +$$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 3a6 6 0 0 0 9 9 9 9 0 1 1-9-9Z"}]];Icon($$anchor,spread_props({name:"moon"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Music($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props, +["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M9 18V5l12-2v13"}],["circle",{cx:"6",cy:"18",r:"3"}],["circle",{cx:"18",cy:"16",r:"3"}]];Icon($$anchor,spread_props({name:"music"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var 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iconNode=[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2"}],["path",{d:"M9 3v18"}],["path",{d:"m16 15-3-3 3-3"}]];Icon($$anchor,spread_props({name:"panel-left-close"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child( +fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Panel_left($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2"}],["path",{d:"M9 3v18"}]];Icon($$anchor,spread_props({name:"panel-left"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child( +fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Pencil_ruler($$anchor,$$props){push$1($$props,!0);let 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fragment_1=comment$2(),node2=first_child(fragment_1);snippet( +node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Shield_question($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z"}],["path",{d:"M9.1 9a3 3 0 0 1 5.82 1c0 2-3 3-3 3"}],["path",{d:"M12 17h.01"}]];Icon($$anchor, +spread_props({name:"shield-question"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Shield($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M20 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fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append( +$$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Square($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2"}]];Icon($$anchor,spread_props({name:"square"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{ +default:!0}})),pop()}function Sun($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"4"}],["path",{d:"M12 2v2"}],["path",{d:"M12 20v2"}],["path",{d:"m4.93 4.93 1.41 1.41"}],["path",{d:"m17.66 17.66 1.41 1.41"}],["path",{d:"M2 12h2"}],["path",{d:"M20 12h2"}],["path",{d:"m6.34 17.66-1.41 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props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M3 6h18"}],["path",{d:"M19 6v14c0 1-1 2-2 2H\ +7c-1 0-2-1-2-2V6"}],["path",{d:"M8 6V4c0-1 1-2 2-2h4c1 0 2 1 2 2v2"}],["line",{x1:"10",x2:"10",y1:"11",y2:"17"}],["line",{x1:"14",x2:"14",y1:"11",y2:"17"}]];Icon($$anchor,spread_props({name:"trash-2"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Triangle_alert($$anchor,$$props){push$1($$props,!0); +let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m21.73 18-8-14a2 2 0 0 0-3.48 0l-8 14A2 2 0 0 0 4 21h16a2 2 0 0 0 1.73-3"}],["path",{d:"M12 9v4"}],["path",{d:"M12 17h.01"}]];Icon($$anchor,spread_props({name:"triangle-alert"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})), +pop()}function Upload($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 3v12"}],["path",{d:"m17 8-5-5-5 5"}],["path",{d:"M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"}]];Icon($$anchor,spread_props({name:"upload"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}, +$$slots:{default:!0}})),pop()}function Whole_word($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"7",cy:"12",r:"3"}],["path",{d:"M10 9v6"}],["circle",{cx:"17",cy:"12",r:"3"}],["path",{d:"M14 7v8"}],["path",{d:"M22 17v1c0 .5-.5 1-1 1H3c-.5 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props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M18 6 6 18"}],["path",{d:"m6 6 12 12"}]];Icon($$anchor,spread_props({name:"x"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(), +node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Zap($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M4 14a1 1 0 0 1-.78-1.63l9.9-10.2a.5.5 0 0 1 .86.46l-1.92 6.02A1 1 0 0 0 13 10h7a1 1 0 0 1 .78 1.63l-9.9 10.2a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14z"}]];Icon($$anchor,spread_props({name:"zap"},()=>props,{get iconNode(){ +return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}const defaultWindow$2=typeof window<"u"?window:void 0;function getActiveElement$2(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement} +let ActiveElement$2=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$2,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement$2(this.#document):null}};new ActiveElement$2; +function runEffect(flush,effect2){switch(flush){case"post":user_effect(effect2);break;case"pre":user_pre_effect(effect2);break}}function runWatcher(sources,flush,effect2,options={}){const{lazy=!1}=options;let active=!lazy,previousValues=Array.isArray(sources)?[]:void 0;runEffect(flush,()=>{const values=Array.isArray(sources)?sources.map(source2=>source2()):sources();if(!active){active=!0,previousValues=values;return}const cleanup=untrack$1(()=>effect2(values,previousValues));return previousValues= +values,cleanup})}function watch(sources,effect2,options){runWatcher(sources,"post",effect2,options)}function watchPre(sources,effect2,options){runWatcher(sources,"pre",effect2,options)}watch.pre=watchPre;function getStorage(storageType,window2){switch(storageType){case"local":return window2.localStorage;case"session":return window2.sessionStorage}}class PersistedState{#current;#key;#serializer;#storage;#subscribe;#version=state$1(0);constructor(key2,initialValue,options={}){const{storage:storageType="\ +local",serializer:serializer2={serialize:JSON.stringify,deserialize:JSON.parse},syncTabs=!0,window:window2=defaultWindow$2}=options;if(this.#current=initialValue,this.#key=key2,this.#serializer=serializer2,window2===void 0)return;const storage=getStorage(storageType,window2);this.#storage=storage;const existingValue=storage.getItem(key2);existingValue!==null?this.#current=this.#deserialize(existingValue):this.#serialize(initialValue),syncTabs&&storageType==="local"&&(this.#subscribe=createSubscriber( +()=>on(window2,"storage",this.#handleStorageEvent)))}get current(){this.#subscribe?.(),get$3(this.#version);const root2=this.#deserialize(this.#storage?.getItem(this.#key))??this.#current,proxies=new WeakMap,proxy2=value=>{if(value===null||value?.constructor.name==="Date"||typeof value!="object")return value;let p2=proxies.get(value);return p2||(p2=new Proxy(value,{get:(target2,property)=>(get$3(this.#version),proxy2(Reflect.get(target2,property))),set:(target2,property,value2)=>(set$1(this.#version, +get$3(this.#version)+1),Reflect.set(target2,property,value2),this.#serialize(root2),!0)}),proxies.set(value,p2)),p2};return proxy2(root2)}set current(newValue){this.#serialize(newValue),set$1(this.#version,get$3(this.#version)+1)}#handleStorageEvent=event2=>{event2.key!==this.#key||event2.newValue===null||(this.#current=this.#deserialize(event2.newValue),set$1(this.#version,get$3(this.#version)+1))};#deserialize(value){try{return this.#serializer.deserialize(value)}catch(error2){console.error(`E\ +rror when parsing "${value}" from persisted store "${this.#key}"`,error2);return}}#serialize(value){try{value!=null&&this.#storage?.setItem(this.#key,this.#serializer.serialize(value))}catch(error2){console.error(`Error when writing value from persisted store "${this.#key}" to ${this.#storage}`,error2)}}}function sanitizeClassNames(classNames){return classNames.filter(className=>className.length>0)}const noopStorage={getItem:_key=>null,setItem:(_key,_value)=>{}},isBrowser$1=typeof document<"u";function isFunction(value){ +return typeof value=="function"}function isObject$1(value){return value!==null&&typeof value=="object"}const BoxSymbol=Symbol("box"),isWritableSymbol=Symbol("is-writable");function isBox(value){return isObject$1(value)&&BoxSymbol in value}function isWritableBox(value){return box.isBox(value)&&isWritableSymbol in value}function box(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$3(current2)},set current(v){set$1(current2, +v,!0)}}}function boxWith(getter,setter){const derived2=user_derived(getter);return setter?{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$3(derived2)},set current(v){setter(v)}}:{[BoxSymbol]:!0,get current(){return getter()}}}function boxFrom(value){return box.isBox(value)?value:isFunction(value)?box.with(value):box(value)}function boxFlatten(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>box.isBox(b)?(box.isWritableBox(b)?Object.defineProperty(acc,key2,{get(){return b. +current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox(b){return box.isWritableBox(b)?{[BoxSymbol]:!0,get current(){return b.current}}:b}box.from=boxFrom;box.with=boxWith;box.flatten=boxFlatten;box.readonly=toReadonlyBox;box.isBox=isBox;box.isWritableBox=isWritableBox;function createParser$1(matcher,replacer){const regex=RegExp(matcher,"g");return str=>{if(typeof str!="string")throw new TypeError(`exp\ +ected an argument of type string, but got ${typeof str}`);return str.match(regex)?str.replace(regex,replacer):str}}const camelToKebab=createParser$1(/[A-Z]/,match=>`-${match.toLowerCase()}`);function styleToCSS(styleObj){if(!styleObj||typeof styleObj!="object"||Array.isArray(styleObj))throw new TypeError(`expected an argument of type object, but got ${typeof styleObj}`);return Object.keys(styleObj).map(property=>`${camelToKebab(property)}: ${styleObj[property]};`).join(` +`)}function styleToString(style2={}){return styleToCSS(style2).replace(` +`," ")}const srOnlyStyles={position:"absolute",width:"1px",height:"1px",padding:"0",margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",whiteSpace:"nowrap",borderWidth:"0",transform:"translateX(-100%)"};styleToString(srOnlyStyles);const defaultWindow$1=typeof window<"u"?window:void 0;function getActiveElement$1(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2} +return activeElement}let ActiveElement$1=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$1,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement$1(this.#document): +null}};new ActiveElement$1;const modeStorageKey=box("mode-watcher-mode"),themeStorageKey=box("mode-watcher-theme"),modes=["dark","light","system"];function isValidMode(value){return typeof value!="string"?!1:modes.includes(value)}class UserPrefersMode{#defaultValue="system";#storage=isBrowser$1?localStorage:noopStorage;#initialValue=this.#storage.getItem(modeStorageKey.current);#value=isValidMode(this.#initialValue)?this.#initialValue:this.#defaultValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){ +return new PersistedState(modeStorageKey.current,value,{serializer:{serialize:v=>v,deserialize:v=>isValidMode(v)?v:this.#defaultValue}})}constructor(){effect_root(()=>watch.pre(()=>modeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$3(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$3(this.#persisted).current}set current(newValue){get$3(this.#persisted).current= +newValue}}class SystemPrefersMode{#defaultValue=void 0;#track=!0;#current=state$1(proxy(this.#defaultValue));#mediaQueryState=typeof window<"u"&&typeof window.matchMedia=="function"?new MediaQuery("prefers-color-scheme: light"):{current:!1};query(){isBrowser$1&&set$1(this.#current,this.#mediaQueryState.current?"light":"dark",!0)}tracking(active){this.#track=active}constructor(){effect_root(()=>{user_pre_effect(()=>{this.#track&&this.query()})}),this.query=this.query.bind(this),this.tracking=this. +tracking.bind(this)}get current(){return get$3(this.#current)}}const userPrefersMode=new UserPrefersMode,systemPrefersMode=new SystemPrefersMode;class CustomTheme{#storage=isBrowser$1?localStorage:noopStorage;#initialValue=this.#storage.getItem(themeStorageKey.current);#value=this.#initialValue===null||this.#initialValue===void 0?"":this.#initialValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){return new PersistedState(themeStorageKey.current,value,{serializer:{ +serialize:v=>typeof v!="string"?"":v,deserialize:v=>v}})}constructor(){effect_root(()=>watch.pre(()=>themeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$3(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$3(this.#persisted).current}set current(newValue){get$3(this.#persisted).current=newValue}}const customTheme=new CustomTheme;let timeoutAction,timeoutEnable,hasLoaded=!1, +styleElement=null;function getStyleElement(){return styleElement||(styleElement=document.createElement("style"),styleElement.appendChild(document.createTextNode(`* { + -webkit-transition: none !important; + -moz-transition: none !important; + -o-transition: none !important; + -ms-transition: none !important; + transition: none !important; + }`)),styleElement)}function withoutTransition(action2,synchronous=!1){if(typeof document>"u")return;if(!hasLoaded){hasLoaded=!0,action2();return}if(typeof window<"u"&&window.__vitest_worker__){action2();return}clearTimeout(timeoutAction),clearTimeout(timeoutEnable);const style2=getStyleElement(),disable2=()=>document.head.appendChild(style2),enable=()=>{style2.parentNode&&document.head.removeChild(style2)};function executeAction(){action2(),window.requestAnimationFrame(enable)}if(typeof window. +requestAnimationFrame<"u"){disable2(),synchronous?executeAction():window.requestAnimationFrame(()=>{executeAction()});return}disable2(),timeoutAction=window.setTimeout(()=>{action2(),timeoutEnable=window.setTimeout(enable,16)},16)}const themeColors=box(void 0),disableTransitions=box(!0),synchronousModeChanges=box(!1),darkClassNames=box([]),lightClassNames=box([]);function createDerivedMode(){const current2=user_derived(()=>{if(!isBrowser$1)return;const derivedMode2=userPrefersMode.current==="sys\ +tem"?systemPrefersMode.current:userPrefersMode.current,sanitizedDarkClassNames=sanitizeClassNames(darkClassNames.current),sanitizedLightClassNames=sanitizeClassNames(lightClassNames.current);function update2(){const htmlEl=document.documentElement,themeColorEl=document.querySelector('meta[name="theme-color"]');derivedMode2==="light"?(sanitizedDarkClassNames.length&&htmlEl.classList.remove(...sanitizedDarkClassNames),sanitizedLightClassNames.length&&htmlEl.classList.add(...sanitizedLightClassNames), +htmlEl.style.colorScheme="light",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.light)):(sanitizedLightClassNames.length&&htmlEl.classList.remove(...sanitizedLightClassNames),sanitizedDarkClassNames.length&&htmlEl.classList.add(...sanitizedDarkClassNames),htmlEl.style.colorScheme="dark",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.dark))}return disableTransitions.current?withoutTransition(update2,synchronousModeChanges. +current):update2(),derivedMode2});return{get current(){return get$3(current2)}}}function createDerivedTheme(){const current2=user_derived(()=>{if(customTheme.current,!isBrowser$1)return;function update2(){document.documentElement.setAttribute("data-theme",customTheme.current)}return disableTransitions.current?withoutTransition(update2,untrack$1(()=>synchronousModeChanges.current)):update2(),customTheme.current});return{get current(){return get$3(current2)}}}const derivedMode=createDerivedMode(), +derivedTheme=createDerivedTheme();function setMode(mode){userPrefersMode.current=mode}function setTheme(newTheme){customTheme.current=newTheme}function setInitialMode({defaultMode="system",themeColors:themeColors2,darkClassNames:darkClassNames2=["dark"],lightClassNames:lightClassNames2=[],defaultTheme="",modeStorageKey:modeStorageKey2="mode-watcher-mode",themeStorageKey:themeStorageKey2="mode-watcher-theme"}){const rootEl=document.documentElement,mode=localStorage.getItem(modeStorageKey2)??defaultMode,theme=localStorage.getItem(themeStorageKey2)??defaultTheme,light=mode==="light"||mode==="system"&&window.matchMedia("(prefers-color-sche\ +me: light)").matches;if(light?(darkClassNames2.length&&rootEl.classList.remove(...darkClassNames2.filter(Boolean)),lightClassNames2.length&&rootEl.classList.add(...lightClassNames2.filter(Boolean))):(lightClassNames2.length&&rootEl.classList.remove(...lightClassNames2.filter(Boolean)),darkClassNames2.length&&rootEl.classList.add(...darkClassNames2.filter(Boolean))),rootEl.style.colorScheme=light?"light":"dark",themeColors2){const themeMetaEl=document.querySelector('meta[name="theme-color"]');themeMetaEl&& +themeMetaEl.setAttribute("content",mode==="light"?themeColors2.light:themeColors2.dark)}theme&&(rootEl.setAttribute("data-theme",theme),localStorage.setItem(themeStorageKey2,theme)),localStorage.setItem(modeStorageKey2,mode)}var root_1$18=from_html('');function Mode_watcher_lite($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var meta=root_1$18();template_effect(()=>set_attribute(meta,"content",$$props. +themeColors.dark)),append($$anchor2,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1f=from_html(''),root_1$17=from_html(" ",1);function Mode_watcher_full($$anchor,$$props){push$1($$props,!0);let trueNonce=prop($$props,"trueNonce",3,"");head$1("1funsus",$$anchor2=>{var fragment=root_1$17(),node2=first_child(fragment);{var consequent=$$anchor3=>{var meta=root_2$1f();template_effect(()=>set_attribute( +meta,"content",$$props.themeColors.dark)),append($$anchor3,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}var node_1=sibling(node2,2);html$6(node_1,()=>`(`+setInitialMode.toString()+")("+JSON.stringify($$props.initConfig)+");<\/script>"),append($$anchor2,fragment)}),pop()}function Mode_watcher($$anchor,$$props){push$1($$props,!0);let track2=prop($$props,"track",3,!0),defaultMode=prop($$props,"defaultMode",3,"system"), +disableTransitionsProp=prop($$props,"disableTransitions",3,!0),darkClassNamesProp=prop($$props,"darkClassNames",19,()=>["dark"]),lightClassNamesProp=prop($$props,"lightClassNames",19,()=>[]),defaultTheme=prop($$props,"defaultTheme",3,""),nonce=prop($$props,"nonce",3,""),themeStorageKeyProp=prop($$props,"themeStorageKey",3,"mode-watcher-theme"),modeStorageKeyProp=prop($$props,"modeStorageKey",3,"mode-watcher-mode"),disableHeadScriptInjection=prop($$props,"disableHeadScriptInjection",3,!1),synchronousModeChangesProp=prop( +$$props,"synchronousModeChanges",3,!1);modeStorageKey.current=modeStorageKeyProp(),themeStorageKey.current=themeStorageKeyProp(),darkClassNames.current=darkClassNamesProp(),lightClassNames.current=lightClassNamesProp(),disableTransitions.current=disableTransitionsProp(),themeColors.current=$$props.themeColors,synchronousModeChanges.current=synchronousModeChangesProp(),user_pre_effect(()=>{synchronousModeChanges.current=synchronousModeChangesProp()}),user_pre_effect(()=>{disableTransitions.current= +disableTransitionsProp()}),user_pre_effect(()=>{themeColors.current=$$props.themeColors}),user_pre_effect(()=>{darkClassNames.current=darkClassNamesProp()}),user_pre_effect(()=>{lightClassNames.current=lightClassNamesProp()}),user_pre_effect(()=>{modeStorageKey.current=modeStorageKeyProp()}),user_pre_effect(()=>{themeStorageKey.current=themeStorageKeyProp()}),user_pre_effect(()=>{derivedMode.current,modeStorageKey.current,themeStorageKey.current,derivedTheme.current}),onMount$1(()=>{systemPrefersMode. +tracking(track2()),systemPrefersMode.query();const localStorageMode=localStorage.getItem(modeStorageKey.current);setMode(isValidMode(localStorageMode)?localStorageMode:defaultMode());const localStorageTheme=localStorage.getItem(themeStorageKey.current);setTheme(localStorageTheme||defaultTheme())});const initConfig={defaultMode:defaultMode(),themeColors:$$props.themeColors,darkClassNames:darkClassNamesProp(),lightClassNames:lightClassNamesProp(),defaultTheme:defaultTheme(),modeStorageKey:modeStorageKeyProp(), +themeStorageKey:themeStorageKeyProp()},trueNonce=user_derived(()=>typeof window>"u"?nonce():"");var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Mode_watcher_lite($$anchor2,{get themeColors(){return themeColors.current}})},alternate=$$anchor2=>{Mode_watcher_full($$anchor2,{get trueNonce(){return get$3(trueNonce)},get initConfig(){return initConfig},get themeColors(){return themeColors.current}})};if_block(node2,$$render=>{disableHeadScriptInjection()?$$render(consequent): +$$render(alternate,-1)})}append($$anchor,fragment),pop()}const ATTACHMENT_SAVED_REGEX=/\[Attachment saved: ([^\]]+)\]/,NEWLINE_SEPARATOR=` `,LLM_ERROR_BLOCK_START=` \`\`\` Upstream LLM error: `,LLM_ERROR_BLOCK_END="\n```\n",DEFAULT_AGENTIC_CONFIG={enabled:!0,maxTurns:100,maxToolPreviewLines:25},REASONING_TAGS={START:"",END:""},LEGACY_REASONING_TAGS={START:"<<>>"},LEGACY_AGENTIC_REGEX={COMPLETED_TOOL_CALL:/<<>>\n<<>>\n<<>>([\s\S]*?)<<>>([\s\S]*?)<<>>/g,REASONING_BLOCK:/<<>>[\s\S]*?<<>>/g,REASONING_EXTRACT:/<<>>([\s\S]*?)<<>>/, REASONING_OPEN:/<<>>[\s\S]*$/,AGENTIC_TOOL_CALL_OPEN:/\n*<<>>[\s\S]*$/,HAS_LEGACY_MARKERS:/<<<(?:AGENTIC_TOOL_CALL_START|reasoning_content_start)>>>/},API_MODELS={LIST:"/v1/models",LOAD:"/models/load",UNLOAD:"/models/unload"},API_TOOLS={LIST:"/tools",EXECUTE:"/tools"},CORS_PROXY_ENDPOINT="/cors-proxy",ATTACHMENT_LABEL_PDF_FILE="PDF File",ATTACHMENT_LABEL_MCP_PROMPT="MCP Prompt",ATTACHMENT_LABEL_MCP_RESOURCE="MCP Resource",FILE_TYPE_ICONS={[FileTypeCategory. -IMAGE]:Image$1,[FileTypeCategory.AUDIO]:Mic,[FileTypeCategory.TEXT]:File_text,[FileTypeCategory.PDF]:File$1},MODALITY_ICONS={[ModelModality.VISION]:Eye,[ModelModality.AUDIO]:Mic},MODALITY_LABELS={[ModelModality.VISION]:"Vision",[ModelModality.AUDIO]:"Audio"},ATTACHMENT_FILE_ITEMS=[{id:AttachmentMenuItemId.IMAGES,label:"Images",icon:FILE_TYPE_ICONS.image,class:"images-button",enabledWhen:AttachmentItemEnabledWhen.HAS_VISION_MODALITY,disabledTooltip:"Image processing requires a vision model",action:AttachmentAction. -FILE_UPLOAD},{id:AttachmentMenuItemId.AUDIO,label:"Audio Files",icon:FILE_TYPE_ICONS.audio,class:"audio-button",enabledWhen:AttachmentItemEnabledWhen.HAS_AUDIO_MODALITY,disabledTooltip:"Audio files processing requires an audio model",action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.TEXT,label:"Text Files",icon:FILE_TYPE_ICONS.text,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.PDF,label:"PDF Files",icon:FILE_TYPE_ICONS.pdf, -enabledWhen:AttachmentItemEnabledWhen.ALWAYS,disabledTooltip:"PDFs will be converted to text. Image-based PDFs may not work properly.",hasEnabledTooltip:!0,action:AttachmentAction.FILE_UPLOAD}],ATTACHMENT_EXTRA_ITEMS=[{id:AttachmentMenuItemId.SYSTEM_MESSAGE,label:"System Message",icon:Message_square,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,hasEnabledTooltip:!0,action:AttachmentAction.SYSTEM_PROMPT_CLICK}],ATTACHMENT_MCP_ITEMS=[{id:AttachmentMenuItemId.MCP_PROMPT,label:"MCP Prompt",icon:Zap,enabledWhen:AttachmentItemEnabledWhen. -ALWAYS,action:AttachmentAction.MCP_PROMPT_CLICK,visibleWhen:AttachmentItemVisibleWhen.HAS_MCP_PROMPTS_SUPPORT},{id:AttachmentMenuItemId.MCP_RESOURCES,label:"MCP Resources",icon:Folder_open,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.MCP_RESOURCES_CLICK,visibleWhen:AttachmentItemVisibleWhen.HAS_MCP_RESOURCES_SUPPORT}],ATTACHMENT_TOOLTIP_TEXT="Add files, system prompt or MCP Servers",AUTO_SCROLL_INTERVAL=100,AUTO_SCROLL_AT_BOTTOM_THRESHOLD=10,DEFAULT_BINARY_DETECTION_OPTIONS={ -prefixLength:1024*10,suspiciousCharThresholdRatio:.15,maxAbsoluteNullBytes:2},DEFAULT_CACHE_TTL_MS=300*1e3,DEFAULT_CACHE_MAX_ENTRIES=100,MODEL_PROPS_CACHE_TTL_MS=600*1e3,MODEL_PROPS_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_TTL_MS=300*1e3,MAX_INACTIVE_CONVERSATION_STATES=10,INACTIVE_CONVERSATION_STATE_MAX_AGE_MS=1800*1e3,INITIAL_FILE_SIZE=0,PROMPT_CONTENT_SEPARATOR=` +IMAGE]:Image$1,[FileTypeCategory.AUDIO]:Mic,[FileTypeCategory.TEXT]:File_text,[FileTypeCategory.PDF]:File$1},ATTACHMENT_FILE_ITEMS=[{id:AttachmentMenuItemId.IMAGES,label:"Images",icon:FILE_TYPE_ICONS.image,class:"images-button",enabledWhen:AttachmentItemEnabledWhen.HAS_VISION_MODALITY,disabledTooltip:"Image processing requires a vision model",action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.AUDIO,label:"Audio Files",icon:FILE_TYPE_ICONS.audio,class:"audio-button",enabledWhen:AttachmentItemEnabledWhen. +HAS_AUDIO_MODALITY,disabledTooltip:"Audio files processing requires an audio model",action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.TEXT,label:"Text Files",icon:FILE_TYPE_ICONS.text,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.PDF,label:"PDF Files",icon:FILE_TYPE_ICONS.pdf,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,disabledTooltip:"PDFs will be converted to text. Image-based PDFs may not work properly.",hasEnabledTooltip:!0, +action:AttachmentAction.FILE_UPLOAD}],ATTACHMENT_EXTRA_ITEMS=[{id:AttachmentMenuItemId.SYSTEM_MESSAGE,label:"System Message",icon:Message_square,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,hasEnabledTooltip:!0,action:AttachmentAction.SYSTEM_PROMPT_CLICK}],ATTACHMENT_MCP_ITEMS=[{id:AttachmentMenuItemId.MCP_PROMPT,label:"MCP Prompt",icon:Zap,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.MCP_PROMPT_CLICK,visibleWhen:AttachmentItemVisibleWhen.HAS_MCP_PROMPTS_SUPPORT},{id:AttachmentMenuItemId. +MCP_RESOURCES,label:"MCP Resources",icon:Folder_open,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.MCP_RESOURCES_CLICK,visibleWhen:AttachmentItemVisibleWhen.HAS_MCP_RESOURCES_SUPPORT}],ATTACHMENT_TOOLTIP_TEXT="Add files, prompts, tools or MCP Servers",AUTO_SCROLL_INTERVAL=100,AUTO_SCROLL_AT_BOTTOM_THRESHOLD=10,DEFAULT_BINARY_DETECTION_OPTIONS={prefixLength:1024*10,suspiciousCharThresholdRatio:.15,maxAbsoluteNullBytes:2},DEFAULT_CACHE_TTL_MS=300*1e3,DEFAULT_CACHE_MAX_ENTRIES=100, +MODEL_PROPS_CACHE_TTL_MS=600*1e3,MODEL_PROPS_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_TTL_MS=300*1e3,MAX_INACTIVE_CONVERSATION_STATES=10,INACTIVE_CONVERSATION_STATE_MAX_AGE_MS=1800*1e3,INITIAL_FILE_SIZE=0,PROMPT_CONTENT_SEPARATOR=` `,CLIPBOARD_CONTENT_QUOTE_PREFIX='"',PROMPT_TRIGGER_PREFIX="/",RESOURCE_TRIGGER_PREFIX="@",NEW_CHAT_DRAFT_KEY="__new_chat__",CODE_BLOCK_SCROLL_CONTAINER_CLASS="code-block-scroll-container",CODE_BLOCK_WRAPPER_CLASS="code-block-wrapper",CODE_BLOCK_HEADER_CLASS="code-block-header",CODE_BLOCK_ACTIONS_CLASS="code-block-actions",CODE_LANGUAGE_CLASS="code-language",COPY_CODE_BTN_CLASS="copy-code-btn",PREVIEW_CODE_BTN_CLASS="preview-code-btn",RELATIVE_CLASS="relative",NEWLINE=` `,DEFAULT_LANGUAGE="text",LANG_PATTERN=/^(\w*)\n?/,AMPERSAND_REGEX=/&/g,LT_REGEX=//g,FENCE_PATTERN=/^```|\n```/g,CONTEXT_KEY_MESSAGE_EDIT="chat-message-edit",CONTEXT_KEY_CHAT_ACTIONS="chat-actions",CONTEXT_KEY_CHAT_SETTINGS_CONFIG="chat-settings-config",CONTEXT_KEY_PROCESSING_INFO="processing-info",BOX_BORDER="border border-border/30 focus-within:border-border dark:border-border/20 dark:focus-within:border-border",INPUT_CLASSES=` @@ -1300,118 +1344,136 @@ prefixLength:1024*10,suspiciousCharThresholdRatio:.15,maxAbsoluteNullBytes:2},DE border border-border/30 dark:border-border/20 shadow-sm backdrop-blur-lg! rounded-t-lg! -`,CHAT_FORM_POPOVER_MAX_HEIGHT="max-h-80",GOOGLE_FAVICON_BASE_URL="https://www.google.com/s2/favicons",DEFAULT_FAVICON_SIZE=32,DOMAIN_SEPARATOR=".",ROOT_DOMAIN_MIN_PARTS=2,MS_PER_SECOND=1e3,SECONDS_PER_MINUTE=60,SECONDS_PER_HOUR=3600,SHORT_DURATION_THRESHOLD=1,MEDIUM_DURATION_THRESHOLD=10,DEFAULT_PERFORMANCE_TIME="0s",KEY_VALUE_PAIR_KEY_MAX_LENGTH=256,KEY_VALUE_PAIR_VALUE_MAX_LENGTH=8192,KEY_VALUE_PAIR_UNSAFE_KEY_RE=/[\x00-\x1F\x7F]/g,KEY_VALUE_PAIR_UNSAFE_VALUE_RE=/[\x00-\x08\x0A-\x0D\x0E-\x1F\x7F]/g, -CODE_BLOCK_REGEXP=/(```[\s\S]*?```|`[^`\n]+`)/g,LATEX_MATH_AND_CODE_PATTERN=new RegExp("(```[\\S\\s]*?```|`.*?`)|(?--api-key option for the server.",systemMessage:"The starting message that defines how model should behave.",showSystemMessage:"Display the system message at the top of each conversation.",theme:"Choose the color theme for the in\ -terface. You can choose between System (follows your device settings), Light, or Dark.",pasteLongTextToFileLen:"On pasting long text, it will be converted to a file. You can control the file length by setting the value of this parameter. Value 0 means disable.",copyTextAttachmentsAsPlainText:"When copying a message with text attachments, combine them into a single plain text string instead of a special format that can be pasted back as attachments.",samplers:'The order at which samplers are appl\ -ied, in simplified way. Default is "top_k;typ_p;top_p;min_p;temperature": top_k->typ_p->top_p->min_p->temperature',backend_sampling:"Enable backend-based samplers. When enabled, supported samplers run on the accelerator backend for faster sampling.",temperature:"Controls the randomness of the generated text by affecting the probability distribution of the output tokens. Higher = more random, lower = more focused.",dynatemp_range:"Addon for the temperature sampler. The added value to the range of\ - dynamic temperature, which adjusts probabilities by entropy of tokens.",dynatemp_exponent:"Addon for the temperature sampler. Smoothes out the probability redistribution based on the most probable token.",top_k:"Keeps only k top tokens.",top_p:"Limits tokens to those that together have a cumulative probability of at least p",min_p:"Limits tokens based on the minimum probability for a token to be considered, relative to the probability of the most likely token.",xtc_probability:"XTC sampler cuts\ - out top tokens; this parameter controls the chance of cutting tokens at all. 0 disables XTC.",xtc_threshold:"XTC sampler cuts out top tokens; this parameter controls the token probability that is required to cut that token.",typ_p:"Sorts and limits tokens based on the difference between log-probability and entropy.",repeat_last_n:"Last n tokens to consider for penalizing repetition",repeat_penalty:"Controls the repetition of token sequences in the generated text",presence_penalty:"Limits tokens\ - based on whether they appear in the output or not.",frequency_penalty:"Limits tokens based on how often they appear in the output.",dry_multiplier:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling multiplier.",dry_base:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling base value.",dry_allowed_length:"DRY sampling reduces repetition in generated text even across long \ -contexts. This parameter sets the allowed length for DRY sampling.",dry_penalty_last_n:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets DRY penalty for the last n tokens.",max_tokens:"The maximum number of token per output. Use -1 for infinite (no limit).",custom:"Custom JSON parameters to send to the API. Must be valid JSON format.",showThoughtInProgress:"Expand thought process by default when generating messages.",disableReasoningParsing:"Send r\ -easoning_format=none so the server returns thinking tokens inline instead of extracting them into a separate field.",excludeReasoningFromContext:"Strip thinking from previous messages before sending. When off, thinking is sent back via the reasoning_content field so the model sees its own chain-of-thought across turns.",showRawOutputSwitch:"Show toggle button to display messages as plain text instead of Markdown-formatted content",keepStatsVisible:"Keep processing statistics visible after genera\ -tion finishes.",showMessageStats:"Display generation statistics (tokens/second, token count, duration) below each assistant message.",askForTitleConfirmation:"Ask for confirmation before automatically changing conversation title when editing the first message.",titleGenerationUseFirstLine:"Use only the first non-empty line of the prompt to generate the conversation title.",pdfAsImage:"Parse PDF as image instead of text. Automatically falls back to text processing for non-vision models.",disableAutoScroll:"\ -Disable automatic scrolling while messages stream so you can control the viewport position manually.",renderUserContentAsMarkdown:"Render user messages using markdown formatting in the chat.",alwaysShowSidebarOnDesktop:"Always keep the sidebar visible on desktop instead of auto-hiding it.",autoShowSidebarOnNewChat:"Automatically show sidebar when starting a new chat. Disable to keep the sidebar hidden until you click on it.",sendOnEnter:"Use Enter to send messages and Shift + Enter for new lines\ -. When disabled, use Ctrl/Cmd + Enter.",autoMicOnEmpty:"Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.",fullHeightCodeBlocks:"Always display code blocks at their full natural height, overriding any height limits.",showRawModelNames:'Display full raw model identifiers (e.g. "ggml-org/GLM-4.7-Flash-GGUF:Q8_0") instead of parsed names with badges.',mcpServers:"Configure MCP servers as a JSON list. Use the form in the MCP Cl\ -ient settings section to edit.",mcpServerUsageStats:"Usage statistics for MCP servers. Tracks how many times tools from each server have been used.",agenticMaxTurns:"Maximum number of tool execution cycles before stopping (prevents infinite loops).",agenticMaxToolPreviewLines:"Number of lines shown in tool output previews (last N lines). Only these previews and the final LLM response persist after the agentic loop completes.",showToolCallInProgress:"Automatically expand tool call details while e\ -xecuting and keep them expanded after completion.",pyInterpreterEnabled:"Enable Python interpreter using Pyodide. Allows running Python code in markdown code blocks.",preEncodeConversation:"After each response, re-submit the conversation to pre-fill the server KV cache. Makes the next turn faster since the prompt is already encoded while you read the response.",enableContinueGeneration:'Enable "Continue" button for assistant messages. Currently works only with non-reasoning models.'},SETTINGS_COLOR_MODES_CONFIG=[ -{value:ColorMode.SYSTEM,label:"System",icon:Monitor},{value:ColorMode.LIGHT,label:"Light",icon:Sun},{value:ColorMode.DARK,label:"Dark",icon:Moon}],NUMERIC_FIELDS=["temperature","top_k","top_p","min_p","max_tokens","pasteLongTextToFileLen","dynatemp_range","dynatemp_exponent","typ_p","xtc_probability","xtc_threshold","repeat_last_n","repeat_penalty","presence_penalty","frequency_penalty","dry_multiplier","dry_base","dry_allowed_length","dry_penalty_last_n","agenticMaxTurns","agenticMaxToolPreview\ -Lines"],POSITIVE_INTEGER_FIELDS=["agenticMaxTurns","agenticMaxToolPreviewLines"],SETTINGS_KEYS={THEME:"theme",API_KEY:"apiKey",SYSTEM_MESSAGE:"systemMessage",PASTE_LONG_TEXT_TO_FILE_LEN:"pasteLongTextToFileLen",COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT:"copyTextAttachmentsAsPlainText",ENABLE_CONTINUE_GENERATION:"enableContinueGeneration",PDF_AS_IMAGE:"pdfAsImage",ASK_FOR_TITLE_CONFIRMATION:"askForTitleConfirmation",SHOW_MESSAGE_STATS:"showMessageStats",SHOW_THOUGHT_IN_PROGRESS:"showThoughtInProgress", -KEEP_STATS_VISIBLE:"keepStatsVisible",AUTO_MIC_ON_EMPTY:"autoMicOnEmpty",RENDER_USER_CONTENT_AS_MARKDOWN:"renderUserContentAsMarkdown",DISABLE_AUTO_SCROLL:"disableAutoScroll",ALWAYS_SHOW_SIDEBAR_ON_DESKTOP:"alwaysShowSidebarOnDesktop",FULL_HEIGHT_CODE_BLOCKS:"fullHeightCodeBlocks",SHOW_RAW_MODEL_NAMES:"showRawModelNames",TEMPERATURE:"temperature",DYNATEMP_RANGE:"dynatemp_range",DYNATEMP_EXPONENT:"dynatemp_exponent",TOP_K:"top_k",TOP_P:"top_p",MIN_P:"min_p",XTC_PROBABILITY:"xtc_probability",XTC_THRESHOLD:"\ -xtc_threshold",TYP_P:"typ_p",MAX_TOKENS:"max_tokens",SAMPLERS:"samplers",BACKEND_SAMPLING:"backend_sampling",REPEAT_LAST_N:"repeat_last_n",REPEAT_PENALTY:"repeat_penalty",PRESENCE_PENALTY:"presence_penalty",FREQUENCY_PENALTY:"frequency_penalty",DRY_MULTIPLIER:"dry_multiplier",DRY_BASE:"dry_base",DRY_ALLOWED_LENGTH:"dry_allowed_length",DRY_PENALTY_LAST_N:"dry_penalty_last_n",AGENTIC_MAX_TURNS:"agenticMaxTurns",ALWAYS_SHOW_AGENTIC_TURNS:"alwaysShowAgenticTurns",AGENTIC_MAX_TOOL_PREVIEW_LINES:"agen\ -ticMaxToolPreviewLines",SHOW_TOOL_CALL_IN_PROGRESS:"showToolCallInProgress",DISABLE_REASONING_PARSING:"disableReasoningParsing",EXCLUDE_REASONING_FROM_CONTEXT:"excludeReasoningFromContext",SHOW_RAW_OUTPUT_SWITCH:"showRawOutputSwitch",CUSTOM:"custom"},SETTINGS_SECTION_TITLES={GENERAL:"General",DISPLAY:"Display",SAMPLING:"Sampling",PENALTIES:"Penalties",AGENTIC:"Agentic",TOOLS:"Tools",DEVELOPER:"Developer"},SETTINGS_CHAT_SECTIONS=[{title:SETTINGS_SECTION_TITLES.GENERAL,slug:"general",icon:Sliders_vertical, -fields:[{key:SETTINGS_KEYS.THEME,label:"Theme",type:SettingsFieldType.SELECT,options:SETTINGS_COLOR_MODES_CONFIG},{key:SETTINGS_KEYS.API_KEY,label:"API Key",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.SYSTEM_MESSAGE,label:"System Message",type:SettingsFieldType.TEXTAREA},{key:SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,label:"Paste long text to file length",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,label:"Copy text attachments as plain text",type:SettingsFieldType. -CHECKBOX},{key:SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,label:'Enable "Continue" button',type:SettingsFieldType.CHECKBOX,isExperimental:!0},{key:SETTINGS_KEYS.PDF_AS_IMAGE,label:"Parse PDF as image",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,label:"Ask for confirmation before changing conversation title",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.DISPLAY,slug:"display",icon:Monitor,fields:[{key:SETTINGS_KEYS.SHOW_MESSAGE_STATS,label:"Sho\ -w message generation statistics",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_THOUGHT_IN_PROGRESS,label:"Show thought in progress",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,label:"Show tool call in progress",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.KEEP_STATS_VISIBLE,label:"Keep stats visible after generation",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,label:"Show microphone on empty input",type:SettingsFieldType. -CHECKBOX,isExperimental:!0},{key:SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,label:"Render user content as Markdown",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,label:"Use full height code blocks",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.DISABLE_AUTO_SCROLL,label:"Disable automatic scroll",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP,label:"Always show sidebar on desktop",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS. -SHOW_RAW_MODEL_NAMES,label:"Show raw model names",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,label:"Always show agentic turns in conversation",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.SAMPLING,slug:"sampling",icon:Funnel,fields:[{key:SETTINGS_KEYS.TEMPERATURE,label:"Temperature",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DYNATEMP_RANGE,label:"Dynamic temperature range",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DYNATEMP_EXPONENT, -label:"Dynamic temperature exponent",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TOP_K,label:"Top K",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TOP_P,label:"Top P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.MIN_P,label:"Min P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.XTC_PROBABILITY,label:"XTC probability",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.XTC_THRESHOLD,label:"XTC threshold",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TYP_P,label:"Typical P",type:SettingsFieldType. -INPUT},{key:SETTINGS_KEYS.MAX_TOKENS,label:"Max tokens",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.SAMPLERS,label:"Samplers",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.BACKEND_SAMPLING,label:"Backend sampling",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.PENALTIES,slug:"penalties",icon:Triangle_alert,fields:[{key:SETTINGS_KEYS.REPEAT_LAST_N,label:"Repeat last N",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.REPEAT_PENALTY,label:"Repeat penalty",type:SettingsFieldType. -INPUT},{key:SETTINGS_KEYS.PRESENCE_PENALTY,label:"Presence penalty",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.FREQUENCY_PENALTY,label:"Frequency penalty",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_MULTIPLIER,label:"DRY multiplier",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_BASE,label:"DRY base",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_ALLOWED_LENGTH,label:"DRY allowed length",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_PENALTY_LAST_N,label:"DRY pen\ -alty last N",type:SettingsFieldType.INPUT}]},{title:SETTINGS_SECTION_TITLES.AGENTIC,slug:"agentic",icon:List_restart,fields:[{key:SETTINGS_KEYS.AGENTIC_MAX_TURNS,label:"Agentic turns",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,label:"Max lines per tool preview",type:SettingsFieldType.INPUT}]},{title:SETTINGS_SECTION_TITLES.TOOLS,slug:"tools",icon:Pencil_ruler},{title:SETTINGS_SECTION_TITLES.DEVELOPER,slug:"developer",icon:Code,fields:[{key:SETTINGS_KEYS.DISABLE_REASONING_PARSING, -label:"Disable reasoning content parsing",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,label:"Exclude reasoning from context",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,label:"Enable raw output toggle",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.CUSTOM,label:"Custom JSON",type:SettingsFieldType.TEXTAREA}]}];FileTypeAudio.MP3+"",FileExtensionAudio.MP3,MimeTypeAudio.MP3_MPEG,MimeTypeAudio.MP3,FileTypeAudio.WAV+"",FileExtensionAudio. -WAV,MimeTypeAudio.WAV;FileTypeImage.JPEG+"",FileExtensionImage.JPG,FileExtensionImage.JPEG,MimeTypeImage.JPEG,FileTypeImage.PNG+"",FileExtensionImage.PNG,MimeTypeImage.PNG,FileTypeImage.GIF+"",FileExtensionImage.GIF,MimeTypeImage.GIF,FileTypeImage.WEBP+"",FileExtensionImage.WEBP,MimeTypeImage.WEBP,FileTypeImage.SVG+"",FileExtensionImage.SVG,MimeTypeImage.SVG;FileTypePdf.PDF+"",FileExtensionPdf.PDF,MimeTypeApplication.PDF;FileTypeText.PLAIN_TEXT+"",FileExtensionText.TXT,MimeTypeText.PLAIN,FileTypeText. -MARKDOWN+"",FileExtensionText.MD,MimeTypeText.MARKDOWN,FileTypeText.ASCIIDOC+"",FileExtensionText.ADOC,MimeTypeText.ASCIIDOC,FileTypeText.JAVASCRIPT+"",FileExtensionText.JS,MimeTypeText.JAVASCRIPT,MimeTypeText.JAVASCRIPT_APP,FileTypeText.TYPESCRIPT+"",FileExtensionText.TS,MimeTypeText.TYPESCRIPT,FileTypeText.JSX+"",FileExtensionText.JSX,MimeTypeText.JSX,FileTypeText.TSX+"",FileExtensionText.TSX,MimeTypeText.TSX,FileTypeText.CSS+"",FileExtensionText.CSS,MimeTypeText.CSS,FileTypeText.HTML+"",FileExtensionText. -HTML,FileExtensionText.HTM,MimeTypeText.HTML,FileTypeText.JSON+"",FileExtensionText.JSON,MimeTypeText.JSON,FileTypeText.XML+"",FileExtensionText.XML,MimeTypeText.XML_TEXT,MimeTypeText.XML_APP,FileTypeText.YAML+"",FileExtensionText.YAML,FileExtensionText.YML,MimeTypeText.YAML_TEXT,MimeTypeText.YAML_APP,FileTypeText.CSV+"",FileExtensionText.CSV,MimeTypeText.CSV,FileTypeText.LOG+"",FileExtensionText.LOG,MimeTypeText.PLAIN,FileTypeText.PYTHON+"",FileExtensionText.PY,MimeTypeText.PYTHON,FileTypeText. -JAVA+"",FileExtensionText.JAVA,MimeTypeText.JAVA,FileTypeText.CPP+"",FileExtensionText.CPP,FileExtensionText.C,FileExtensionText.H,FileExtensionText.HPP,MimeTypeText.CPP_SRC,MimeTypeText.CPP_HDR,MimeTypeText.C_SRC,MimeTypeText.C_HDR,FileTypeText.PHP+"",FileExtensionText.PHP,MimeTypeText.PHP,FileTypeText.RUBY+"",FileExtensionText.RB,MimeTypeText.RUBY,FileTypeText.GO+"",FileExtensionText.GO,MimeTypeText.GO,FileTypeText.RUST+"",FileExtensionText.RS,MimeTypeText.RUST,FileTypeText.SHELL+"",FileExtensionText. -SH,FileExtensionText.BAT,MimeTypeText.SHELL,MimeTypeText.BAT,FileTypeText.SQL+"",FileExtensionText.SQL,MimeTypeText.SQL,FileTypeText.R+"",FileExtensionText.R,MimeTypeText.R,FileTypeText.SCALA+"",FileExtensionText.SCALA,MimeTypeText.SCALA,FileTypeText.KOTLIN+"",FileExtensionText.KT,MimeTypeText.KOTLIN,FileTypeText.SWIFT+"",FileExtensionText.SWIFT,MimeTypeText.SWIFT,FileTypeText.DART+"",FileExtensionText.DART,MimeTypeText.DART,FileTypeText.VUE+"",FileExtensionText.VUE,MimeTypeText.VUE,FileTypeText. -SVELTE+"",FileExtensionText.SVELTE,MimeTypeText.SVELTE,FileTypeText.LATEX+"",FileExtensionText.TEX,MimeTypeText.LATEX,MimeTypeText.TEX,MimeTypeText.TEX_APP,FileTypeText.BIBTEX+"",FileExtensionText.BIB,MimeTypeText.BIBTEX,FileTypeText.CUDA+"",FileExtensionText.CU,FileExtensionText.CUH,MimeTypeText.CUDA,FileTypeText.VULKAN+"",FileExtensionText.COMP,MimeTypeText.PLAIN,FileTypeText.HASKELL+"",FileExtensionText.HS,MimeTypeText.HASKELL,FileTypeText.CSHARP+"",FileExtensionText.CS,MimeTypeText.CSHARP,FileTypeText. -PROPERTIES+"",FileExtensionText.PROPERTIES,MimeTypeText.PROPERTIES;const BR_PATTERN=//gi,LIST_PATTERN=/^
    ([\s\S]*)<\/ul>$/i,LI_PATTERN=/
  • ([\s\S]*?)<\/li>/gi,TOOL_GROUP_LABELS={[ToolSource.BUILTIN]:"Built-in",[ToolSource.CUSTOM]:"JSON Schema"},TOOL_SERVER_LABELS={[ToolSource.BUILTIN]:"Built-in Tools",[ToolSource.CUSTOM]:"Custom Tools"},TOOLTIP_DELAY_DURATION=500;var root$1N=from_svg('');function McpLogo($$anchor,$$props){let className=prop($$props,"class",3,""),style2=prop($$props,"style",3,"");var svg2=root$1N();template_effect(()=>{set_class(svg2,0,clsx(className())),set_style(svg2,style2())}),append($$anchor,svg2)}const FORK_TREE_DEPTH_PADDING=8,SYSTEM_MESSAGE_PLACEHOLDER="System message",APP_NAME="llama.cpp",ICON_STRIP_TRANSITION_DURATION=150,ICON_STRIP_TRANSITION_DELAY_MULTIPLIER=50, -SIDEBAR_ACTIONS_ITEMS=[{icon:Square_pen,tooltip:"New chat",route:"?new_chat=true#/",keys:["shift","cmd","o"]},{icon:Search,tooltip:"Search",keys:["cmd","k"]},{icon:McpLogo,tooltip:"MCP Servers",route:"#/settings/mcp",activeRouteId:"/settings/mcp"},{icon:Database,tooltip:"Import / Export",route:"#/settings/import-export",activeRouteId:"/settings/import-export"},{icon:Settings$1,tooltip:"Settings",route:"#/settings/chat/general",activeRoutePrefix:"/settings/chat"}],URI_SCHEME_SEPARATOR="://",TEMPLATE_EXPRESSION_REGEX=/\{([+#./;?&]?)([^}]+)\}/g, -URI_TEMPLATE_OPERATORS={RESERVED:"+",FRAGMENT:"#",PATH_SEGMENT:"/",LABEL:".",PATH_PARAM:";",FORM_QUERY:"?",FORM_CONTINUATION:"&"},URI_TEMPLATE_SEPARATORS={COMMA:",",SLASH:"/",PERIOD:".",SEMICOLON:";",QUERY_PREFIX:"?",QUERY_CONTINUATION:"&"},VARIABLE_EXPLODE_MODIFIER_REGEX=/[*]$/,VARIABLE_PREFIX_MODIFIER_REGEX=/:[\d]+$/,LEADING_SLASHES_REGEX=/^\/+/,DEFAULT_MOBILE_BREAKPOINT=768;class IsMobile extends MediaQuery{constructor(breakpoint=DEFAULT_MOBILE_BREAKPOINT){super(`max-width: ${breakpoint-1}px`)}} -const SYNCABLE_PARAMETERS=[{key:"temperature",serverKey:"temperature",type:SyncableParameterType.NUMBER,canSync:!0},{key:"top_k",serverKey:"top_k",type:SyncableParameterType.NUMBER,canSync:!0},{key:"top_p",serverKey:"top_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"min_p",serverKey:"min_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dynatemp_range",serverKey:"dynatemp_range",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dynatemp_exponent",serverKey:"dynatemp_exponent",type:SyncableParameterType. -NUMBER,canSync:!0},{key:"xtc_probability",serverKey:"xtc_probability",type:SyncableParameterType.NUMBER,canSync:!0},{key:"xtc_threshold",serverKey:"xtc_threshold",type:SyncableParameterType.NUMBER,canSync:!0},{key:"typ_p",serverKey:"typ_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"repeat_last_n",serverKey:"repeat_last_n",type:SyncableParameterType.NUMBER,canSync:!0},{key:"repeat_penalty",serverKey:"repeat_penalty",type:SyncableParameterType.NUMBER,canSync:!0},{key:"presence_penalty",serverKey:"\ -presence_penalty",type:SyncableParameterType.NUMBER,canSync:!0},{key:"frequency_penalty",serverKey:"frequency_penalty",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_multiplier",serverKey:"dry_multiplier",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_base",serverKey:"dry_base",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_allowed_length",serverKey:"dry_allowed_length",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_penalty_last_n",serverKey:"dry_penalty_last_\ -n",type:SyncableParameterType.NUMBER,canSync:!0},{key:"max_tokens",serverKey:"max_tokens",type:SyncableParameterType.NUMBER,canSync:!0},{key:"samplers",serverKey:"samplers",type:SyncableParameterType.STRING,canSync:!0},{key:"backend_sampling",serverKey:"backend_sampling",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"pasteLongTextToFileLen",serverKey:"pasteLongTextToFileLen",type:SyncableParameterType.NUMBER,canSync:!0},{key:"pdfAsImage",serverKey:"pdfAsImage",type:SyncableParameterType.BOOLEAN, -canSync:!0},{key:"showThoughtInProgress",serverKey:"showThoughtInProgress",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"keepStatsVisible",serverKey:"keepStatsVisible",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showMessageStats",serverKey:"showMessageStats",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"askForTitleConfirmation",serverKey:"askForTitleConfirmation",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"titleGenerationUseFirstLine",serverKey:"titleGenerationUse\ -FirstLine",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"disableAutoScroll",serverKey:"disableAutoScroll",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"renderUserContentAsMarkdown",serverKey:"renderUserContentAsMarkdown",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"autoMicOnEmpty",serverKey:"autoMicOnEmpty",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"pyInterpreterEnabled",serverKey:"pyInterpreterEnabled",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"enableCo\ -ntinueGeneration",serverKey:"enableContinueGeneration",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"fullHeightCodeBlocks",serverKey:"fullHeightCodeBlocks",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"systemMessage",serverKey:"systemMessage",type:SyncableParameterType.STRING,canSync:!0},{key:"showSystemMessage",serverKey:"showSystemMessage",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"theme",serverKey:"theme",type:SyncableParameterType.STRING,canSync:!0},{key:"copyTextAtta\ -chmentsAsPlainText",serverKey:"copyTextAttachmentsAsPlainText",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showRawOutputSwitch",serverKey:"showRawOutputSwitch",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"alwaysShowSidebarOnDesktop",serverKey:"alwaysShowSidebarOnDesktop",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showRawModelNames",serverKey:"showRawModelNames",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"mcpServers",serverKey:"mcpServers",type:SyncableParameterType. -STRING,canSync:!0},{key:"agenticMaxTurns",serverKey:"agenticMaxTurns",type:SyncableParameterType.NUMBER,canSync:!0},{key:"agenticMaxToolPreviewLines",serverKey:"agenticMaxToolPreviewLines",type:SyncableParameterType.NUMBER,canSync:!0},{key:"showToolCallInProgress",serverKey:"showToolCallInProgress",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"alwaysShowAgenticTurns",serverKey:"alwaysShowAgenticTurns",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"excludeReasoningFromContext",serverKey:"\ -excludeReasoningFromContext",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"sendOnEnter",serverKey:"sendOnEnter",type:SyncableParameterType.BOOLEAN,canSync:!0}];class ParameterSyncService{static roundFloatingPoint(value){return normalizeFloatingPoint(value)}static extractServerDefaults(serverParams,webuiSettings){const extracted={};if(serverParams){for(const param of SYNCABLE_PARAMETERS)if(param.canSync&¶m.serverKey in serverParams){const value=serverParams[param.serverKey];value!==void 0&& -(extracted[param.key]=this.roundFloatingPoint(value))}serverParams.samplers&&Array.isArray(serverParams.samplers)&&(extracted.samplers=serverParams.samplers.join(";"))}if(webuiSettings){for(const param of SYNCABLE_PARAMETERS)if(param.canSync&¶m.serverKey in webuiSettings){const value=webuiSettings[param.serverKey];value!==void 0&&(extracted[param.key]=this.roundFloatingPoint(value))}}return extracted}static mergeWithServerDefaults(currentSettings,serverDefaults,userOverrides=new Set){const merged={ -...currentSettings};for(const[key2,serverValue]of Object.entries(serverDefaults))userOverrides.has(key2)||(merged[key2]=this.roundFloatingPoint(serverValue));return merged}static getParameterInfo(key2,currentValue,propsDefaults,userOverrides){const hasPropsDefault=propsDefaults[key2]!==void 0,isUserOverride=userOverrides.has(key2),source2=isUserOverride?ParameterSource.CUSTOM:ParameterSource.DEFAULT;return{value:currentValue,source:source2,serverDefault:hasPropsDefault?propsDefaults[key2]:void 0, -userOverride:isUserOverride?currentValue:void 0}}static canSyncParameter(key2){return SYNCABLE_PARAMETERS.some(param=>param.key===key2&¶m.canSync)}static getSyncableParameterKeys(){return SYNCABLE_PARAMETERS.filter(param=>param.canSync).map(param=>param.key)}static validateServerParameter(key2,value){const param=SYNCABLE_PARAMETERS.find(p2=>p2.key===key2);if(!param)return!1;switch(param.type){case SyncableParameterType.NUMBER:return typeof value=="number"&&!isNaN(value);case SyncableParameterType. -STRING:return typeof value=="string";case SyncableParameterType.BOOLEAN:return typeof value=="boolean";default:return!1}}static createParameterDiff(currentSettings,serverDefaults){const diff2={};for(const key2 of this.getSyncableParameterKeys()){const currentValue=currentSettings[key2],serverValue=serverDefaults[key2];serverValue!==void 0&&(diff2[key2]={current:currentValue,server:serverValue,differs:currentValue!==serverValue})}return diff2}}class PropsService{static async fetch(autoload=!1){const params={}; -return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}static async fetchForModel(modelId,autoload=!1){const params={model:modelId};return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}}class ServerStore{#props=state$1(null);get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value,!0)}#loading=state$1(!1);get loading(){return get$3(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#error=state$1( -null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value,!0)}#role=state$1(null);get role(){return get$3(this.#role)}set role(value){set$1(this.#role,value,!0)}fetchPromise=null;get defaultParams(){return this.props?.default_generation_settings?.params||null}get contextSize(){const nCtx=this.props?.default_generation_settings?.n_ctx;return typeof nCtx=="number"?nCtx:null}get webuiSettings(){return this.props?.webui_settings}get isRouterMode(){return this.role===ServerRole. -ROUTER}get isModelMode(){return this.role===ServerRole.MODEL}async fetch(){if(this.fetchPromise)return this.fetchPromise;this.loading=!0,this.error=null;const fetchPromise=(async()=>{try{const props=await PropsService.fetch();this.props=props,this.error=null,this.detectRole(props)}catch(error2){this.error=this.getErrorMessage(error2),console.error("Error fetching server properties:",error2)}finally{this.loading=!1,this.fetchPromise=null}})();this.fetchPromise=fetchPromise,await fetchPromise}getErrorMessage(error2){ -if(error2 instanceof Error){const message=error2.message||"";if(error2.name==="TypeError"&&message.includes("fetch"))return"Server is not running or unreachable";if(message.includes("ECONNREFUSED"))return"Connection refused - server may be offline";if(message.includes("ENOTFOUND"))return"Server not found - check server address";if(message.includes("ETIMEDOUT"))return"Request timed out";if(message.includes("503"))return"Server temporarily unavailable";if(message.includes("500"))return"Server erro\ -r - check server logs";if(message.includes("404"))return"Server endpoint not found";if(message.includes("403")||message.includes("401"))return"Access denied"}return"Failed to connect to server"}clear(){this.props=null,this.error=null,this.loading=!1,this.role=null,this.fetchPromise=null}detectRole(props){const newRole=props?.role===ServerRole.ROUTER?ServerRole.ROUTER:ServerRole.MODEL;this.role!==newRole&&(this.role=newRole,console.info(`Server running in ${newRole===ServerRole.ROUTER?"ROUTER":"M\ -ODEL"} mode`))}}const serverStore=new ServerStore,serverProps=()=>serverStore.props,serverLoading=()=>serverStore.loading,serverError=()=>serverStore.error,contextSize=()=>serverStore.contextSize,isRouterMode=()=>serverStore.isRouterMode;class SettingsStore{#config=state$1(proxy({...SETTING_CONFIG_DEFAULT}));get config(){return get$3(this.#config)}set config(value){set$1(this.#config,value,!0)}#theme=state$1("auto");get theme(){return get$3(this.#theme)}set theme(value){set$1(this.#theme,value,!0)}#isInitialized=state$1( -!1);get isInitialized(){return get$3(this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#userOverrides=state$1(proxy(new Set));get userOverrides(){return get$3(this.#userOverrides)}set userOverrides(value){set$1(this.#userOverrides,value,!0)}getServerDefaults(){const serverParams=serverStore.defaultParams,webuiSettings=serverStore.webuiSettings;return ParameterSyncService.extractServerDefaults(serverParams,webuiSettings)}constructor(){this.initialize()}initialize(){ -try{this.loadConfig(),this.loadTheme(),this.isInitialized=!0}catch(error2){console.error("Failed to initialize settings store:",error2)}}loadConfig(){try{const storedConfigRaw=localStorage.getItem(CONFIG_LOCALSTORAGE_KEY),savedVal=JSON.parse(storedConfigRaw||"{}");this.config={...SETTING_CONFIG_DEFAULT,...savedVal},"sendOnEnter"in savedVal||new IsMobile().current&&(this.config.sendOnEnter=!1);const savedOverrides=JSON.parse(localStorage.getItem(USER_OVERRIDES_LOCALSTORAGE_KEY)||"[]");this.userOverrides= -new Set(savedOverrides)}catch(error2){console.warn("Failed to parse config from localStorage, using defaults:",error2),this.config={...SETTING_CONFIG_DEFAULT},this.userOverrides=new Set}}loadTheme(){this.theme=localStorage.getItem("theme")||"auto"}updateConfig(key2,value){if(this.config[key2]=value,ParameterSyncService.canSyncParameter(key2)){const propsDefault=this.getServerDefaults()[key2];if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint( -propsDefault);normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}updateMultipleConfig(updates){Object.assign(this.config,updates);const propsDefaults=this.getServerDefaults();for(const[key2,value]of Object.entries(updates))if(ParameterSyncService.canSyncParameter(key2)){const propsDefault=propsDefaults[key2];if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint(propsDefault); -normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}saveConfig(){try{localStorage.setItem(CONFIG_LOCALSTORAGE_KEY,JSON.stringify(this.config)),localStorage.setItem(USER_OVERRIDES_LOCALSTORAGE_KEY,JSON.stringify(Array.from(this.userOverrides)))}catch(error2){console.error("Failed to save config to localStorage:",error2)}}updateTheme(newTheme){this.theme=newTheme,this.saveTheme()}saveTheme(){try{this.theme==="auto"?localStorage.removeItem( -"theme"):localStorage.setItem("theme",this.theme)}catch(error2){console.error("Failed to save theme to localStorage:",error2)}}resetConfig(){this.config={...SETTING_CONFIG_DEFAULT},this.saveConfig()}resetTheme(){this.theme="auto",this.saveTheme()}resetAll(){this.resetConfig(),this.resetTheme()}resetParameterToServerDefault(key2){const serverDefaults=this.getServerDefaults(),webuiSettings=serverStore.webuiSettings;webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]): -serverDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this.config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.delete(key2),this.saveConfig()}syncWithServerDefaults(){const propsDefaults=this.getServerDefaults();if(Object.keys(propsDefaults).length===0)return;const webuiSettings=serverStore.webuiSettings,webuiSettingsKeys=new Set(webuiSettings?Object.keys(webuiSettings):[]);for(const[key2,propsValue]of Object.entries( -propsDefaults)){const currentValue=getConfigValue(this.config,key2),normalizedCurrent=normalizeFloatingPoint(currentValue),normalizedDefault=normalizeFloatingPoint(propsValue);normalizedCurrent===normalizedDefault&&(this.userOverrides.delete(key2),!webuiSettingsKeys.has(key2)&&getConfigValue(SETTING_CONFIG_DEFAULT,key2)===void 0&&setConfigValue(this.config,key2,void 0))}if(webuiSettings)for(const[key2,value]of Object.entries(webuiSettings))!this.userOverrides.has(key2)&&value!==void 0&&setConfigValue( -this.config,key2,value);this.saveConfig(),console.log("User overrides after sync:",Array.from(this.userOverrides))}forceSyncWithServerDefaults(){const propsDefaults=this.getServerDefaults(),webuiSettings=serverStore.webuiSettings;for(const key2 of ParameterSyncService.getSyncableParameterKeys())webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]):propsDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this. -config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.delete(key2);this.saveConfig()}getConfig(key2){return this.config[key2]}getAllConfig(){return{...this.config}}canSyncParameter(key2){return ParameterSyncService.canSyncParameter(key2)}getParameterInfo(key2){const propsDefaults=this.getServerDefaults(),currentValue=getConfigValue(this.config,key2);return ParameterSyncService.getParameterInfo(key2,currentValue??"",propsDefaults,this.userOverrides)}getParameterDiff(){const serverDefaults=this. -getServerDefaults();if(Object.keys(serverDefaults).length===0)return{};const configAsRecord=configToParameterRecord(this.config,ParameterSyncService.getSyncableParameterKeys());return ParameterSyncService.createParameterDiff(configAsRecord,serverDefaults)}clearAllUserOverrides(){this.userOverrides.clear(),this.saveConfig(),console.log("Cleared all user overrides")}}const settingsStore=new SettingsStore,config$1=()=>settingsStore.config;function redactValue(value,showLastChars){return showLastChars? -`....${value.slice(-showLastChars)}`:"[redacted]"}function getAuthHeaders(){const apiKey=config$1().apiKey?.toString().trim();return apiKey?{Authorization:`Bearer ${apiKey}`}:{}}function getJsonHeaders(){return{"Content-Type":"application/json",...getAuthHeaders()}}function sanitizeHeaders(headers,extraRedactedHeaders,partialRedactHeaders){if(!headers)return{};const normalized=new Headers(headers),sanitized={},redactedHeaders=new Set(Array.from(extraRedactedHeaders??[],header=>header.toLowerCase())); -for(const[key2,value]of normalized.entries()){const normalizedKey=key2.toLowerCase(),partialChars=partialRedactHeaders?.get(normalizedKey);partialChars!==void 0?sanitized[key2]=redactValue(value,partialChars):REDACTED_HEADERS.has(normalizedKey)||redactedHeaders.has(normalizedKey)?sanitized[key2]=redactValue(value):sanitized[key2]=value}return sanitized}async function apiFetch(path2,options={}){const{authOnly=!1,headers:customHeaders,...fetchOptions}=options,headers={...authOnly?getAuthHeaders(): -getJsonHeaders(),...customHeaders},url2=path2.startsWith(UrlProtocol.HTTP)||path2.startsWith(UrlProtocol.HTTPS)?path2:`${base}${path2}`,response=await fetch(url2,{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiFetchWithParams(basePath,params,options={}){const url2=new URL(basePath,window.location.href);for(const[key2,value]of Object.entries(params))value!=null&&url2.searchParams. -set(key2,value);const{authOnly=!1,headers:customHeaders,...fetchOptions}=options,headers={...authOnly?getAuthHeaders():getJsonHeaders(),...customHeaders},response=await fetch(url2.toString(),{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiPost(path2,body2,options={}){return apiFetch(path2,{method:"POST",body:JSON.stringify(body2),...options})}async function parseErrorMessage(response){ -try{const errorData=await response.json();if(errorData?.error?.message)return errorData.error.message;if(errorData?.error&&typeof errorData.error=="string")return errorData.error;if(errorData?.message)return errorData.message}catch{}return`Request failed: ${response.status} ${response.statusText}`}function error(status,body2){throw new HttpError(status,body2)}async function validateApiKey(fetch2){try{const apiKey=config$1().apiKey,headers={"Content-Type":"application/json"};apiKey&&(headers.Authorization= -`Bearer ${apiKey}`);const response=await fetch2(`${base}/props`,{headers});if(!response.ok){if(response.status===401||response.status===403)throw error(401,"Access denied");console.warn(`Server responded with status ${response.status} during API key validation`);return}}catch(err){if(err&&typeof err=="object"&&"status"in err)throw err;console.warn("Cannot connect to server for API key validation:",err)}}function isMcpPromptUpload(file){return file.type===SpecialFileType.MCP_PROMPT&&!!file.mcpPrompt} -function isMcpPromptAttachment(attachment){return attachment.type===AttachmentType.MCP_PROMPT}function isMcpResourceAttachment(attachment){return attachment.type===AttachmentType.MCP_RESOURCE}function getUploadedFileCategory$1(file){const categoryByMime=getFileTypeCategory(file.type);return categoryByMime||getFileTypeCategoryByExtension(file.name)}function getAttachmentDisplayItems(options){const{uploadedFiles=[],attachments=[]}=options,items2=[];for(const file of uploadedFiles)items2.push({id:file. -id,name:file.name,size:file.size,preview:file.preview,isImage:getUploadedFileCategory$1(file)===FileTypeCategory.IMAGE,isMcpPrompt:isMcpPromptUpload(file),isLoading:file.isLoading,loadError:file.loadError,uploadedFile:file,textContent:file.textContent});for(const[index2,attachment]of attachments.entries()){const isImage2=isImageFile(attachment),isMcpPrompt=isMcpPromptAttachment(attachment),isMcpResource=isMcpResourceAttachment(attachment);items2.push({id:`attachment-${index2}`,name:attachment.name, -preview:isImage2&&"base64Url"in attachment?attachment.base64Url:void 0,isImage:isImage2,isMcpPrompt,isMcpResource,attachment,attachmentIndex:index2,textContent:"content"in attachment?attachment.content:void 0})}return items2.reverse()}function getUploadedFileCategory(uploadedFile){const categoryByMime=getFileTypeCategory(uploadedFile.type);return categoryByMime||getFileTypeCategoryByExtension(uploadedFile.name)}function isTextFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory( -uploadedFile)===FileTypeCategory.TEXT:attachment?attachment.type===AttachmentType.TEXT||attachment.type===AttachmentType.LEGACY_CONTEXT:!1}function isImageFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.IMAGE:attachment?attachment.type===AttachmentType.IMAGE:!1}function isPdfFile$1(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.PDF:attachment?attachment.type===AttachmentType.PDF:!1}function isAudioFile(attachment,uploadedFile){ -return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.AUDIO:attachment?attachment.type===AttachmentType.AUDIO:!1}function autoResizeTextarea(textareaElement){textareaElement&&(textareaElement.style.height="1rem",textareaElement.style.height=textareaElement.scrollHeight+"px")}function findMessageById(messages,id2){if(id2)return messages.find(m=>m.id===id2)}function filterByLeafNodeId(messages,leafNodeId,includeRoot=!1){const result=[],nodeMap=new Map;for(const msg of messages) -nodeMap.set(msg.id,msg);let startNode=nodeMap.get(leafNodeId);if(!startNode){let latestTime=-1;for(const msg of messages)msg.timestamp>latestTime&&(startNode=msg,latestTime=msg.timestamp)}let currentNode=startNode;for(;currentNode&&((currentNode.type!=="root"||includeRoot)&&result.push(currentNode),currentNode.parent!==null);)currentNode=nodeMap.get(currentNode.parent);return result.sort((a,b)=>a.role===MessageRole.SYSTEM&&b.role!==MessageRole.SYSTEM?-1:a.role!==MessageRole.SYSTEM&&b.role===MessageRole. -SYSTEM?1:a.timestamp-b.timestamp),result}function findLeafNode(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);let currentNode=nodeMap.get(messageId);for(;currentNode&¤tNode.children.length>0;){const lastChildId=currentNode.children[currentNode.children.length-1];currentNode=nodeMap.get(lastChildId)}return currentNode?.id??messageId}function findDescendantMessages(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg. -id,msg);const descendants=[],queue=[messageId];for(;queue.length>0;){const currentId=queue.shift(),currentNode=nodeMap.get(currentId);if(currentNode)for(const childId of currentNode.children)descendants.push(childId),queue.push(childId)}return descendants}function getMessageSiblings(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);const message=nodeMap.get(messageId);if(!message)return null;if(message.parent===null)return{message,siblingIds:[messageId], -currentIndex:0,totalSiblings:1};const parentNode=nodeMap.get(message.parent);if(!parentNode)return{message,siblingIds:[messageId],currentIndex:0,totalSiblings:1};const siblingIds=parentNode.children,siblingLeafIds=siblingIds.map(siblingId=>findLeafNode(messages,siblingId)),currentIndex=siblingIds.indexOf(messageId);return{message,siblingIds:siblingLeafIds,currentIndex,totalSiblings:siblingIds.length}}var core$5,hasRequiredCore$4;function requireCore$4(){if(hasRequiredCore$4)return core$5;hasRequiredCore$4= -1;function deepFreeze(obj){return obj instanceof Map?obj.clear=obj.delete=obj.set=function(){throw new Error("map is read-only")}:obj instanceof Set&&(obj.add=obj.clear=obj.delete=function(){throw new Error("set is read-only")}),Object.freeze(obj),Object.getOwnPropertyNames(obj).forEach(name=>{const prop2=obj[name],type2=typeof prop2;(type2==="object"||type2==="function")&&!Object.isFrozen(prop2)&&deepFreeze(prop2)}),obj}class Response2{constructor(mode){mode.data===void 0&&(mode.data={}),this.data= -mode.data,this.isMatchIgnored=!1}ignoreMatch(){this.isMatchIgnored=!0}}function escapeHTML(value){return value.replace(/&/g,"&").replace(//g,">").replace(/"/g,""").replace(/'/g,"'")}function inherit$1(original,...objects){const result=Object.create(null);for(const key2 in original)result[key2]=original[key2];return objects.forEach(function(obj){for(const key2 in obj)result[key2]=obj[key2]}),result}const SPAN_CLOSE="",emitsWrappingTags=node2=>!!node2. -scope,scopeToCSSClass=(name,{prefix})=>{if(name.startsWith("language:"))return name.replace("language:","language-");if(name.includes(".")){const pieces=name.split(".");return[`${prefix}${pieces.shift()}`,...pieces.map((x,i)=>`${x}${"_".repeat(i+1)}`)].join(" ")}return`${prefix}${name}`};class HTMLRenderer{constructor(parseTree3,options){this.buffer="",this.classPrefix=options.classPrefix,parseTree3.walk(this)}addText(text2){this.buffer+=escapeHTML(text2)}openNode(node2){if(!emitsWrappingTags(node2)) -return;const className=scopeToCSSClass(node2.scope,{prefix:this.classPrefix});this.span(className)}closeNode(node2){emitsWrappingTags(node2)&&(this.buffer+=SPAN_CLOSE)}value(){return this.buffer}span(className){this.buffer+=``}}const newNode=(opts={})=>{const result={children:[]};return Object.assign(result,opts),result};class TokenTree{constructor(){this.rootNode=newNode(),this.stack=[this.rootNode]}get top(){return this.stack[this.stack.length-1]}get root(){return this. -rootNode}add(node2){this.top.children.push(node2)}openNode(scope2){const node2=newNode({scope:scope2});this.add(node2),this.stack.push(node2)}closeNode(){if(this.stack.length>1)return this.stack.pop()}closeAllNodes(){for(;this.closeNode(););}toJSON(){return JSON.stringify(this.rootNode,null,4)}walk(builder){return this.constructor._walk(builder,this.rootNode)}static _walk(builder,node2){return typeof node2=="string"?builder.addText(node2):node2.children&&(builder.openNode(node2),node2.children.forEach( -child2=>this._walk(builder,child2)),builder.closeNode(node2)),builder}static _collapse(node2){typeof node2!="string"&&node2.children&&(node2.children.every(el=>typeof el=="string")?node2.children=[node2.children.join("")]:node2.children.forEach(child2=>{TokenTree._collapse(child2)}))}}class TokenTreeEmitter extends TokenTree{constructor(options){super(),this.options=options}addText(text2){text2!==""&&this.add(text2)}startScope(scope2){this.openNode(scope2)}endScope(){this.closeNode()}__addSublanguage(emitter,name){ -const node2=emitter.root;name&&(node2.scope=`language:${name}`),this.add(node2)}toHTML(){return new HTMLRenderer(this,this.options).value()}finalize(){return this.closeAllNodes(),!0}}function source2(re2){return re2?typeof re2=="string"?re2:re2.source:null}function lookahead2(re2){return concat2("(?=",re2,")")}function anyNumberOfTimes(re2){return concat2("(?:",re2,")*")}function optional2(re2){return concat2("(?:",re2,")?")}function concat2(...args){return args.map(x=>source2(x)).join("")}function stripOptionsFromArgs2(args){ +STATS_UNITS={TOKENS_PER_SECOND:"t/s"},NEW_CHAT_PARAM="new_chat",SETTINGS_SECTION_SLUGS={GENERAL:"general",DISPLAY:"display",SAMPLING:"sampling",PENALTIES:"penalties",AGENTIC:"agentic",DEVELOPER:"developer",TOOLS:"tools",IMPORT_EXPORT:"import-export"},ROUTES={START:"#/",NEW_CHAT:`?${NEW_CHAT_PARAM}=true#/`,CHAT:"#/chat",MCP_SERVERS:"#/mcp-servers",SETTINGS:"#/settings"},SETTINGS_KEYS={THEME:"theme",API_KEY:"apiKey",SYSTEM_MESSAGE:"systemMessage",PASTE_LONG_TEXT_TO_FILE_LEN:"pasteLongTextToFileLen", +COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT:"copyTextAttachmentsAsPlainText",SEND_ON_ENTER:"sendOnEnter",ENABLE_CONTINUE_GENERATION:"enableContinueGeneration",PDF_AS_IMAGE:"pdfAsImage",ASK_FOR_TITLE_CONFIRMATION:"askForTitleConfirmation",TITLE_GENERATION_USE_FIRST_LINE:"titleGenerationUseFirstLine",TITLE_GENERATION_USE_LLM:"titleGenerationUseLLM",TITLE_GENERATION_PROMPT:"titleGenerationPrompt",SHOW_MESSAGE_STATS:"showMessageStats",SHOW_THOUGHT_IN_PROGRESS:"showThoughtInProgress",KEEP_STATS_VISIBLE:"keep\ +StatsVisible",AUTO_MIC_ON_EMPTY:"autoMicOnEmpty",RENDER_USER_CONTENT_AS_MARKDOWN:"renderUserContentAsMarkdown",DISABLE_AUTO_SCROLL:"disableAutoScroll",ALWAYS_SHOW_SIDEBAR_ON_DESKTOP:"alwaysShowSidebarOnDesktop",FULL_HEIGHT_CODE_BLOCKS:"fullHeightCodeBlocks",SHOW_RAW_MODEL_NAMES:"showRawModelNames",SHOW_SYSTEM_MESSAGE:"showSystemMessage",TEMPERATURE:"temperature",DYNATEMP_RANGE:"dynatemp_range",DYNATEMP_EXPONENT:"dynatemp_exponent",TOP_K:"top_k",TOP_P:"top_p",MIN_P:"min_p",XTC_PROBABILITY:"xtc_pr\ +obability",XTC_THRESHOLD:"xtc_threshold",TYP_P:"typ_p",MAX_TOKENS:"max_tokens",SAMPLERS:"samplers",BACKEND_SAMPLING:"backend_sampling",REPEAT_LAST_N:"repeat_last_n",REPEAT_PENALTY:"repeat_penalty",PRESENCE_PENALTY:"presence_penalty",FREQUENCY_PENALTY:"frequency_penalty",DRY_MULTIPLIER:"dry_multiplier",DRY_BASE:"dry_base",DRY_ALLOWED_LENGTH:"dry_allowed_length",DRY_PENALTY_LAST_N:"dry_penalty_last_n",MCP_SERVERS:"mcpServers",AGENTIC_MAX_TURNS:"agenticMaxTurns",ALWAYS_SHOW_AGENTIC_TURNS:"alwaysSho\ +wAgenticTurns",AGENTIC_MAX_TOOL_PREVIEW_LINES:"agenticMaxToolPreviewLines",SHOW_TOOL_CALL_IN_PROGRESS:"showToolCallInProgress",PRE_ENCODE_CONVERSATION:"preEncodeConversation",DISABLE_REASONING_PARSING:"disableReasoningParsing",EXCLUDE_REASONING_FROM_CONTEXT:"excludeReasoningFromContext",SHOW_RAW_OUTPUT_SWITCH:"showRawOutputSwitch",CUSTOM:"custom"},TITLE_GENERATION={MIN_LENGTH:3,FALLBACK:"New Chat",DEFAULT_PROMPT:`Based on the following interaction, generate a short, concise title (maximum 6-8 wo\ +rds) that captures the main topic. Return ONLY the title text, nothing else. Do not use quotes. + +User: {{USER}} + +Assistant: {{ASSISTANT}} + +Title:`,PREFIX_PATTERN:/^(Title:|Subject:|Topic:)\s*/i,QUOTE_PATTERN:/^["]|["]$/g},SETTINGS_SECTION_TITLES={GENERAL:"General",DISPLAY:"Display",SAMPLING:"Sampling",PENALTIES:"Penalties",AGENTIC:"Agentic",TOOLS:"Tools",IMPORT_EXPORT:"Import/Export",DEVELOPER:"Developer"},STANDALONE_SECTIONS=[{title:SETTINGS_SECTION_TITLES.TOOLS,slug:SETTINGS_SECTION_SLUGS.TOOLS,icon:Pencil_ruler},{title:SETTINGS_SECTION_TITLES.IMPORT_EXPORT,slug:SETTINGS_SECTION_SLUGS.IMPORT_EXPORT,icon:Database}],COLOR_MODE_OPTIONS=[ +{value:ColorMode.SYSTEM,label:"System",icon:Monitor},{value:ColorMode.LIGHT,label:"Light",icon:Sun},{value:ColorMode.DARK,label:"Dark",icon:Moon}],SETTINGS_REGISTRY={[SETTINGS_SECTION_SLUGS.GENERAL]:{title:SETTINGS_SECTION_TITLES.GENERAL,slug:SETTINGS_SECTION_SLUGS.GENERAL,icon:Sliders_vertical,settings:[{key:SETTINGS_KEYS.THEME,label:"Theme",help:"Choose the color theme for the interface. You can choose between System (follows your device settings), Light, or Dark.",defaultValue:ColorMode.SYSTEM, +type:SettingsFieldType.SELECT,section:SETTINGS_SECTION_SLUGS.GENERAL,options:COLOR_MODE_OPTIONS,sync:{serverKey:SETTINGS_KEYS.THEME,paramType:SyncableParameterType.STRING}},{key:SETTINGS_KEYS.API_KEY,label:"API Key",help:"Set the API Key if you are using --api-key option for the server.",defaultValue:"",type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.GENERAL},{key:SETTINGS_KEYS.SYSTEM_MESSAGE,label:"System Message",help:"The starting message that defines how model should\ + behave.",defaultValue:"",type:SettingsFieldType.TEXTAREA,section:SETTINGS_SECTION_SLUGS.GENERAL,sync:{serverKey:SETTINGS_KEYS.SYSTEM_MESSAGE,paramType:SyncableParameterType.STRING}},{key:SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,label:"Paste long text to file length",help:"On pasting long text, it will be converted to a file. You can control the file length by setting the value of this parameter. Value 0 means disable.",defaultValue:2500,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS. +GENERAL,sync:{serverKey:SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.SEND_ON_ENTER,label:"Send message on Enter",help:"Use Enter to send messages and Shift + Enter for new lines. When disabled, use Ctrl/Cmd + Enter.",defaultValue:!0,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.GENERAL,sync:{serverKey:SETTINGS_KEYS.SEND_ON_ENTER,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT, +label:"Copy text attachments as plain text",help:"When copying a message with text attachments, combine them into a single plain text string instead of a special format that can be pasted back as attachments.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.GENERAL,sync:{serverKey:SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,label:'Enable "Continue" button',help:'Enable "Co\ +ntinue" button for assistant messages, including reasoning models.',defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.GENERAL,isExperimental:!0,sync:{serverKey:SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.PDF_AS_IMAGE,label:"Parse PDF as image",help:"Parse PDF as image instead of text. Automatically falls back to text processing for non-vision models.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS. +GENERAL,sync:{serverKey:SETTINGS_KEYS.PDF_AS_IMAGE,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,label:"Ask for confirmation before changing conversation title",help:"Ask for confirmation before automatically changing conversation title when editing the first message.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.GENERAL,sync:{serverKey:SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS. +TITLE_GENERATION_USE_FIRST_LINE,label:"Use first non-empty line for conversation title",help:"Use only the first non-empty line of the prompt to generate the conversation title.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.GENERAL,sync:{serverKey:SETTINGS_KEYS.TITLE_GENERATION_USE_FIRST_LINE,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.TITLE_GENERATION_USE_LLM,label:"Use LLM to generate conversation title",help:"Use the LLM to automatically gene\ +rate conversation titles based on the first message exchange.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.GENERAL,isExperimental:!0},{key:SETTINGS_KEYS.TITLE_GENERATION_PROMPT,label:"LLM title generation prompt",help:"Optional template for the title generation prompt. Use {{USER}} for the user message and {{ASSISTANT}} for the assistant message.",defaultValue:TITLE_GENERATION.DEFAULT_PROMPT,type:SettingsFieldType.TEXTAREA,section:SETTINGS_SECTION_SLUGS.GENERAL}]}, +[SETTINGS_SECTION_SLUGS.DISPLAY]:{title:SETTINGS_SECTION_TITLES.DISPLAY,slug:SETTINGS_SECTION_SLUGS.DISPLAY,icon:Monitor,settings:[{key:SETTINGS_KEYS.SHOW_MESSAGE_STATS,label:"Show message generation statistics",help:"Display generation statistics (tokens/second, token count, duration) below each assistant message.",defaultValue:!0,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.SHOW_MESSAGE_STATS,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS. +SHOW_THOUGHT_IN_PROGRESS,label:"Show thought in progress",help:"Expand thought process by default when generating messages.",defaultValue:!0,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.SHOW_THOUGHT_IN_PROGRESS,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,label:"Show tool call in progress",help:"Automatically expand tool call details while executing and keep them expanded after completion.",defaultValue:!1, +type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.KEEP_STATS_VISIBLE,label:"Keep stats visible after generation",help:"Keep processing statistics visible after generation finishes.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.KEEP_STATS_VISIBLE,paramType:SyncableParameterType.BOOLEAN}},{ +key:SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,label:"Show microphone on empty input",help:"Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,isExperimental:!0,sync:{serverKey:SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,label:"Render user content as Markdown",help:"Ren\ +der user messages using markdown formatting in the chat.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,label:"Use full height code blocks",help:"Always display code blocks at their full natural height, overriding any height limits.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS. +DISPLAY,sync:{serverKey:SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.DISABLE_AUTO_SCROLL,label:"Disable automatic scroll",help:"Disable automatic scrolling while messages stream so you can control the viewport position manually.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.DISABLE_AUTO_SCROLL,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP, +label:"Always show sidebar on desktop",help:"Always keep the sidebar visible on desktop instead of auto-hiding it.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.SHOW_RAW_MODEL_NAMES,label:"Show raw model names",help:'Display full raw model identifiers (e.g. "ggml-org/GLM-4.7-Flash-GGUF:Q8_0") instead of parsed names with badges.',defaultValue:!1, +type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.SHOW_RAW_MODEL_NAMES,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,label:"Always show agentic turns in conversation",help:"Always expand and display agentic loop turns in conversation messages.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DISPLAY,sync:{serverKey:SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,paramType:SyncableParameterType. +BOOLEAN}}]},[SETTINGS_SECTION_SLUGS.SAMPLING]:{title:SETTINGS_SECTION_TITLES.SAMPLING,slug:SETTINGS_SECTION_SLUGS.SAMPLING,icon:Funnel,settings:[{key:SETTINGS_KEYS.TEMPERATURE,label:"Temperature",help:"Controls the randomness of the generated text by affecting the probability distribution of the output tokens. Higher = more random, lower = more focused.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.TEMPERATURE,paramType:SyncableParameterType. +NUMBER}},{key:SETTINGS_KEYS.DYNATEMP_RANGE,label:"Dynamic temperature range",help:"Addon for the temperature sampler. The added value to the range of dynamic temperature, which adjusts probabilities by entropy of tokens.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.DYNATEMP_RANGE,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.DYNATEMP_EXPONENT,label:"Dynamic temperature exponent",help:"Addon for the temperatu\ +re sampler. Smoothes out the probability redistribution based on the most probable token.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.DYNATEMP_EXPONENT,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.TOP_K,label:"Top K",help:"Keeps only k top tokens.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.TOP_K,paramType:SyncableParameterType.NUMBER}}, +{key:SETTINGS_KEYS.TOP_P,label:"Top P",help:"Limits tokens to those that together have a cumulative probability of at least p",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.TOP_P,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.MIN_P,label:"Min P",help:"Limits tokens based on the minimum probability for a token to be considered, relative to the probability of the most likely token.",defaultValue:void 0,type:SettingsFieldType. +INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.MIN_P,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.XTC_PROBABILITY,label:"XTC probability",help:"XTC sampler cuts out top tokens; this parameter controls the chance of cutting tokens at all. 0 disables XTC.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.XTC_PROBABILITY,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.XTC_THRESHOLD, +label:"XTC threshold",help:"XTC sampler cuts out top tokens; this parameter controls the token probability that is required to cut that token.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.XTC_THRESHOLD,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.TYP_P,label:"Typical P",help:"Sorts and limits tokens based on the difference between log-probability and entropy.",defaultValue:void 0,type:SettingsFieldType.INPUT, +section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.TYP_P,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.MAX_TOKENS,label:"Max tokens",help:"The maximum number of token per output. Use -1 for infinite (no limit).",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.MAX_TOKENS,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.SAMPLERS,label:"Samplers",help:'The order at which samplers are a\ +pplied, in simplified way. Default is "top_k;typ_p;top_p;min_p;temperature": top_k->typ_p->top_p->min_p->temperature',defaultValue:"",type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.SAMPLERS,paramType:SyncableParameterType.STRING}},{key:SETTINGS_KEYS.BACKEND_SAMPLING,label:"Backend sampling",help:"Enable backend-based samplers. When enabled, supported samplers run on the accelerator backend for faster sampling.",defaultValue:!1,type:SettingsFieldType. +CHECKBOX,section:SETTINGS_SECTION_SLUGS.SAMPLING,sync:{serverKey:SETTINGS_KEYS.BACKEND_SAMPLING,paramType:SyncableParameterType.BOOLEAN}}]},[SETTINGS_SECTION_SLUGS.PENALTIES]:{title:SETTINGS_SECTION_TITLES.PENALTIES,slug:SETTINGS_SECTION_SLUGS.PENALTIES,icon:Triangle_alert,settings:[{key:SETTINGS_KEYS.REPEAT_LAST_N,label:"Repeat last N",help:"Last n tokens to consider for penalizing repetition",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS. +REPEAT_LAST_N,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.REPEAT_PENALTY,label:"Repeat penalty",help:"Controls the repetition of token sequences in the generated text",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS.REPEAT_PENALTY,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.PRESENCE_PENALTY,label:"Presence penalty",help:"Limits tokens based on whether they appear in the output or not.",defaultValue:void 0, +type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS.PRESENCE_PENALTY,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.FREQUENCY_PENALTY,label:"Frequency penalty",help:"Limits tokens based on how often they appear in the output.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS.FREQUENCY_PENALTY,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.DRY_MULTIPLIER, +label:"DRY multiplier",help:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling multiplier.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS.DRY_MULTIPLIER,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.DRY_BASE,label:"DRY base",help:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling bas\ +e value.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS.DRY_BASE,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.DRY_ALLOWED_LENGTH,label:"DRY allowed length",help:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the allowed length for DRY sampling.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS. +DRY_ALLOWED_LENGTH,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.DRY_PENALTY_LAST_N,label:"DRY penalty last N",help:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets DRY penalty for the last n tokens.",defaultValue:void 0,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.PENALTIES,sync:{serverKey:SETTINGS_KEYS.DRY_PENALTY_LAST_N,paramType:SyncableParameterType.NUMBER}}]},[SETTINGS_SECTION_SLUGS.AGENTIC]:{title:SETTINGS_SECTION_TITLES. +AGENTIC,slug:SETTINGS_SECTION_SLUGS.AGENTIC,icon:List_restart,settings:[{key:SETTINGS_KEYS.AGENTIC_MAX_TURNS,label:"Agentic turns",help:"Maximum number of tool execution cycles before stopping (prevents infinite loops).",defaultValue:10,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.AGENTIC,isPositiveInteger:!0,sync:{serverKey:SETTINGS_KEYS.AGENTIC_MAX_TURNS,paramType:SyncableParameterType.NUMBER}},{key:SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,label:"Max lines per tool preview", +help:"Number of lines shown in tool output previews (last N lines). Only these previews and the final LLM response persist after the agentic loop completes.",defaultValue:25,type:SettingsFieldType.INPUT,section:SETTINGS_SECTION_SLUGS.AGENTIC,isPositiveInteger:!0,sync:{serverKey:SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,paramType:SyncableParameterType.NUMBER}}]},[SETTINGS_SECTION_SLUGS.DEVELOPER]:{title:SETTINGS_SECTION_TITLES.DEVELOPER,slug:SETTINGS_SECTION_SLUGS.DEVELOPER,icon:Code,settings:[ +{key:SETTINGS_KEYS.PRE_ENCODE_CONVERSATION,label:"Pre-fill KV cache after response",help:"After each response, re-submit the conversation to pre-fill the server KV cache. Makes the next turn faster since the prompt is already encoded while you read the response.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DEVELOPER},{key:SETTINGS_KEYS.DISABLE_REASONING_PARSING,label:"Disable reasoning content parsing",help:"Send reasoning_format=none so the server returns thin\ +king tokens inline instead of extracting them into a separate field.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DEVELOPER},{key:SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,label:"Exclude reasoning from context",help:"Strip thinking from previous messages before sending. When off, thinking is sent back via the reasoning_content field so the model sees its own chain-of-thought across turns.",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS. +DEVELOPER,sync:{serverKey:SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,label:"Enable raw output toggle",help:"Show toggle button to display messages as plain text instead of Markdown-formatted content",defaultValue:!1,type:SettingsFieldType.CHECKBOX,section:SETTINGS_SECTION_SLUGS.DEVELOPER,sync:{serverKey:SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.CUSTOM,label:"\ +Custom JSON",help:"Custom JSON parameters to send to the API. Must be valid JSON format.",defaultValue:"",type:SettingsFieldType.TEXTAREA,section:SETTINGS_SECTION_SLUGS.DEVELOPER}]}},NON_UI_SETTINGS=[{key:SETTINGS_KEYS.SHOW_SYSTEM_MESSAGE,label:"Show system message",help:"Display the system message at the top of each conversation.",defaultValue:!0,type:SettingsFieldType.CHECKBOX,sync:{serverKey:SETTINGS_KEYS.SHOW_SYSTEM_MESSAGE,paramType:SyncableParameterType.BOOLEAN}},{key:SETTINGS_KEYS.MCP_SERVERS, +label:"MCP servers",help:"Configure MCP servers as a JSON list. Use the form in the MCP Client settings section to edit.",defaultValue:"[]",type:SettingsFieldType.INPUT,sync:{serverKey:SETTINGS_KEYS.MCP_SERVERS,paramType:SyncableParameterType.STRING}}];function getAllSettings(){const result=[];for(const section of Object.values(SETTINGS_REGISTRY))result.push(...section.settings);return result.push(...NON_UI_SETTINGS),result}const SETTING_CONFIG_DEFAULT=Object.fromEntries(getAllSettings().map(s2=>[ +s2.key,s2.defaultValue])),SETTING_CONFIG_INFO=Object.fromEntries(getAllSettings().map(s2=>[s2.key,s2.help])),SETTINGS_CHAT_SECTIONS=[...Object.values(SETTINGS_REGISTRY).map(section=>({title:section.title,slug:section.slug,icon:section.icon,fields:section.settings.map(s2=>({key:s2.key,label:s2.label,type:s2.type,isExperimental:s2.isExperimental,help:s2.help,options:s2.options}))})),...STANDALONE_SECTIONS],NUMERIC_FIELDS=getAllSettings().filter(s2=>s2.type===SettingsFieldType.INPUT&&typeof s2.defaultValue!= +"string").map(s2=>s2.key),POSITIVE_INTEGER_FIELDS=getAllSettings().filter(s2=>s2.isPositiveInteger).map(s2=>s2.key),SYNCABLE_PARAMETERS=getAllSettings().filter(s2=>s2.sync!==void 0).map(s2=>({key:s2.key,serverKey:s2.sync.serverKey,type:s2.sync.paramType,canSync:!0})),SETTINGS_FALLBACK_EXIT_ROUTE=ROUTES.START;FileTypeAudio.MP3+"",FileExtensionAudio.MP3,MimeTypeAudio.MP3_MPEG,MimeTypeAudio.MP3,FileTypeAudio.WAV+"",FileExtensionAudio.WAV,MimeTypeAudio.WAV;FileTypeImage.JPEG+"",FileExtensionImage.JPG, +FileExtensionImage.JPEG,MimeTypeImage.JPEG,FileTypeImage.PNG+"",FileExtensionImage.PNG,MimeTypeImage.PNG,FileTypeImage.GIF+"",FileExtensionImage.GIF,MimeTypeImage.GIF,FileTypeImage.WEBP+"",FileExtensionImage.WEBP,MimeTypeImage.WEBP,FileTypeImage.SVG+"",FileExtensionImage.SVG,MimeTypeImage.SVG;FileTypePdf.PDF+"",FileExtensionPdf.PDF,MimeTypeApplication.PDF;FileTypeText.PLAIN_TEXT+"",FileExtensionText.TXT,MimeTypeText.PLAIN,FileTypeText.MARKDOWN+"",FileExtensionText.MD,MimeTypeText.MARKDOWN,FileTypeText. +ASCIIDOC+"",FileExtensionText.ADOC,MimeTypeText.ASCIIDOC,FileTypeText.JAVASCRIPT+"",FileExtensionText.JS,MimeTypeText.JAVASCRIPT,MimeTypeText.JAVASCRIPT_APP,FileTypeText.TYPESCRIPT+"",FileExtensionText.TS,MimeTypeText.TYPESCRIPT,FileTypeText.JSX+"",FileExtensionText.JSX,MimeTypeText.JSX,FileTypeText.TSX+"",FileExtensionText.TSX,MimeTypeText.TSX,FileTypeText.CSS+"",FileExtensionText.CSS,MimeTypeText.CSS,FileTypeText.HTML+"",FileExtensionText.HTML,FileExtensionText.HTM,MimeTypeText.HTML,FileTypeText. +JSON+"",FileExtensionText.JSON,MimeTypeText.JSON,FileTypeText.XML+"",FileExtensionText.XML,MimeTypeText.XML_TEXT,MimeTypeText.XML_APP,FileTypeText.YAML+"",FileExtensionText.YAML,FileExtensionText.YML,MimeTypeText.YAML_TEXT,MimeTypeText.YAML_APP,FileTypeText.CSV+"",FileExtensionText.CSV,MimeTypeText.CSV,FileTypeText.LOG+"",FileExtensionText.LOG,MimeTypeText.PLAIN,FileTypeText.PYTHON+"",FileExtensionText.PY,MimeTypeText.PYTHON,FileTypeText.JAVA+"",FileExtensionText.JAVA,MimeTypeText.JAVA,FileTypeText. +CPP+"",FileExtensionText.CPP,FileExtensionText.C,FileExtensionText.H,FileExtensionText.HPP,MimeTypeText.CPP_SRC,MimeTypeText.CPP_HDR,MimeTypeText.C_SRC,MimeTypeText.C_HDR,FileTypeText.PHP+"",FileExtensionText.PHP,MimeTypeText.PHP,FileTypeText.RUBY+"",FileExtensionText.RB,MimeTypeText.RUBY,FileTypeText.GO+"",FileExtensionText.GO,MimeTypeText.GO,FileTypeText.RUST+"",FileExtensionText.RS,MimeTypeText.RUST,FileTypeText.SHELL+"",FileExtensionText.SH,FileExtensionText.BAT,MimeTypeText.SHELL,MimeTypeText. +BAT,FileTypeText.SQL+"",FileExtensionText.SQL,MimeTypeText.SQL,FileTypeText.R+"",FileExtensionText.R,MimeTypeText.R,FileTypeText.SCALA+"",FileExtensionText.SCALA,MimeTypeText.SCALA,FileTypeText.KOTLIN+"",FileExtensionText.KT,MimeTypeText.KOTLIN,FileTypeText.SWIFT+"",FileExtensionText.SWIFT,MimeTypeText.SWIFT,FileTypeText.DART+"",FileExtensionText.DART,MimeTypeText.DART,FileTypeText.VUE+"",FileExtensionText.VUE,MimeTypeText.VUE,FileTypeText.SVELTE+"",FileExtensionText.SVELTE,MimeTypeText.SVELTE,FileTypeText. +LATEX+"",FileExtensionText.TEX,MimeTypeText.LATEX,MimeTypeText.TEX,MimeTypeText.TEX_APP,FileTypeText.BIBTEX+"",FileExtensionText.BIB,MimeTypeText.BIBTEX,FileTypeText.CUDA+"",FileExtensionText.CU,FileExtensionText.CUH,MimeTypeText.CUDA,FileTypeText.VULKAN+"",FileExtensionText.COMP,MimeTypeText.PLAIN,FileTypeText.HASKELL+"",FileExtensionText.HS,MimeTypeText.HASKELL,FileTypeText.CSHARP+"",FileExtensionText.CS,MimeTypeText.CSHARP,FileTypeText.PROPERTIES+"",FileExtensionText.PROPERTIES,MimeTypeText.PROPERTIES; +const BR_PATTERN=//gi,LIST_PATTERN=/^
      ([\s\S]*)<\/ul>$/i,LI_PATTERN=/
    • ([\s\S]*?)<\/li>/gi,TOOL_GROUP_LABELS={[ToolSource.BUILTIN]:"Built-in",[ToolSource.CUSTOM]:"JSON Schema"},TOOL_SERVER_LABELS={[ToolSource.BUILTIN]:"Built-in Tools",[ToolSource.CUSTOM]:"Custom Tools"},TOOLTIP_DELAY_DURATION=500;var root$1U=from_svg('\ +<\ +/g>');function McpLogo($$anchor,$$props){let className=prop($$props,"class",3,""),style2=prop($$props,"style",3,"");var svg2=root$1U();template_effect(()=>{set_class(svg2,0,clsx(className())),set_style(svg2,style2())}),append($$anchor,svg2)}const FORK_TREE_DEPTH_PADDING=8,SYSTEM_MESSAGE_PLACEHOLDER="System message",APP_NAME="llama.cpp",ICON_STRIP_TRANSITION_DURATION=150,ICON_STRIP_TRANSITION_DELAY_MULTIPLIER=50,SIDEBAR_ACTIONS_ITEMS=[{icon:Square_pen,tooltip:"New chat", +route:ROUTES.NEW_CHAT,keys:["shift","cmd","o"]},{icon:Search,tooltip:"Search",keys:["cmd","k"]},{icon:McpLogo,tooltip:"MCP Servers",route:ROUTES.MCP_SERVERS,activeRouteId:"/mcp-servers"},{icon:Settings$1,tooltip:"Settings",route:ROUTES.SETTINGS,activeRoutePrefix:"/settings"}],URI_SCHEME_SEPARATOR="://",TEMPLATE_EXPRESSION_REGEX=/\{([+#./;?&]?)([^}]+)\}/g,URI_TEMPLATE_OPERATORS={RESERVED:"+",FRAGMENT:"#",PATH_SEGMENT:"/",LABEL:".",PATH_PARAM:";",FORM_QUERY:"?",FORM_CONTINUATION:"&"},URI_TEMPLATE_SEPARATORS={ +COMMA:",",SLASH:"/",PERIOD:".",SEMICOLON:";",QUERY_PREFIX:"?",QUERY_CONTINUATION:"&"},VARIABLE_EXPLODE_MODIFIER_REGEX=/[*]$/,VARIABLE_PREFIX_MODIFIER_REGEX=/:[\d]+$/,LEADING_SLASHES_REGEX=/^\/+/,STD=["com","net","org","gov","edu"],STD_MIL=[...STD,"mil"],ccTLD_PREFIXES={ar:STD,bd:STD,bg:STD,cn:STD_MIL,eg:STD,gr:STD,hk:STD,hr:STD,lk:STD,mx:STD_MIL,my:STD_MIL,ng:STD,ph:STD,pk:STD,pl:STD,ro:STD,ru:STD,sa:STD,si:STD,tr:STD,tw:STD,ua:STD,ve:STD,au:[...STD_MIL,"id","asn","csiro"],br:[...STD_MIL,"art","\ +eco","eng","inf","med","psi","tmp","etc","adm","adv","arq","bio","bmd","cim","cng","cnt","coop","ecn","esp","far","fm","fnd","fot","fst","g12","ggf","imb","ind","jor","jus","leg","lel","mat","mp","mus","not","ntr","odo","ppg","pro","psc","qsl","rec","slg","srv","trd","tur","tv","vet","vlog","wiki","zlg"],id:[...STD_MIL,"co","go","or","web","sch"],in:[...STD_MIL,"co","gen","ind","firm","ernet","nic"],kr:[...STD_MIL,"co","go","or","ac","re"],nz:[...STD_MIL,"co","gen","geek","kiwi","maori","school", +"govt","health","iwi","parliament"],sg:[...STD,"per"],th:["co","go","or","in","ac","mi","net"],ae:["co","net","org","gov","ac","sch"],hu:["co","net","org","gov","edu"],il:["co","net","org","gov","ac","muni"],jp:["ac","ad","co","ed","go","gr","lg","ne","or"],ke:["co","or","ne","go","ac","sc"],rs:["co","net","org","gov","edu"],uk:["co","org","net","ac","gov","mil","nhs","police","mod","ltd","plc","me","sch"],za:["co","org","net","web","law","mil"]},WILDCARD_BASES={br:["nom","blog"],jp:["kobe","kyo\ +to","nagoya","osaka","sapporo","sendai","tokyo","yokohama","aichi","akita","aomori","chiba","ehime","fukui","fukuoka","fukushima","gifu","gunma","hiroshima","hokkaido","hyogo","ibaraki","ishikawa","iwate","kagawa","kagoshima","kanagawa","kochi","kumamoto","mie","miyagi","miyazaki","nagano","nara","niigata","oita","okayama","okinawa","saga","saitama","shiga","shimane","shizuoka","tochigi","tokushima","tottori","toyama","wakayama","yamagata","yamaguchi","yamanashi"]};function buildSuffixSet(suffixes){ +const set2=new Set;for(const[tld,parts]of Object.entries(suffixes))for(const part of parts)set2.add(`${part}.${tld}`);return set2}const TWO_PART_PUBLIC_SUFFIXES=buildSuffixSet(ccTLD_PREFIXES),WILDCARD_PUBLIC_SUFFIXES=buildSuffixSet(WILDCARD_BASES),DEFAULT_MOBILE_BREAKPOINT=768;class IsMobile extends MediaQuery{constructor(breakpoint=DEFAULT_MOBILE_BREAKPOINT){super(`max-width: ${breakpoint-1}px`)}}class ParameterSyncService{static roundFloatingPoint(value){return normalizeFloatingPoint(value)}static extractServerDefaults(serverParams,webuiSettings){ +const extracted={};if(serverParams){for(const param of SYNCABLE_PARAMETERS)if(param.canSync&¶m.serverKey in serverParams){const value=serverParams[param.serverKey];value!==void 0&&(extracted[param.key]=this.roundFloatingPoint(value))}serverParams.samplers&&Array.isArray(serverParams.samplers)&&(extracted[SETTINGS_KEYS.SAMPLERS]=serverParams.samplers.join(";"))}if(webuiSettings){for(const param of SYNCABLE_PARAMETERS)if(param.canSync&¶m.serverKey in webuiSettings){const value=webuiSettings[param. +serverKey];value!==void 0&&(extracted[param.key]=this.roundFloatingPoint(value))}}return extracted}static mergeWithServerDefaults(currentSettings,serverDefaults,userOverrides=new Set){const merged={...currentSettings};for(const[key2,serverValue]of Object.entries(serverDefaults))userOverrides.has(key2)||(merged[key2]=this.roundFloatingPoint(serverValue));return merged}static getParameterInfo(key2,currentValue,propsDefaults,userOverrides){const hasPropsDefault=propsDefaults[key2]!==void 0,isUserOverride=userOverrides. +has(key2),source2=isUserOverride?ParameterSource.CUSTOM:ParameterSource.DEFAULT;return{value:currentValue,source:source2,serverDefault:hasPropsDefault?propsDefaults[key2]:void 0,userOverride:isUserOverride?currentValue:void 0}}static canSyncParameter(key2){return SYNCABLE_PARAMETERS.some(param=>param.key===key2&¶m.canSync)}static getSyncableParameterKeys(){return SYNCABLE_PARAMETERS.filter(param=>param.canSync).map(param=>param.key)}static validateServerParameter(key2,value){const param=SYNCABLE_PARAMETERS. +find(p2=>p2.key===key2);if(!param)return!1;switch(param.type){case SyncableParameterType.NUMBER:return typeof value=="number"&&!isNaN(value);case SyncableParameterType.STRING:return typeof value=="string";case SyncableParameterType.BOOLEAN:return typeof value=="boolean";default:return!1}}static createParameterDiff(currentSettings,serverDefaults){const diff2={};for(const key2 of this.getSyncableParameterKeys()){const currentValue=currentSettings[key2],serverValue=serverDefaults[key2];serverValue!== +void 0&&(diff2[key2]={current:currentValue,server:serverValue,differs:currentValue!==serverValue})}return diff2}}class PropsService{static async fetch(autoload=!1){const params={};return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}static async fetchForModel(modelId,autoload=!1){const params={model:modelId};return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}}class ServerStore{#props=state$1(null);get props(){return get$3( +this.#props)}set props(value){set$1(this.#props,value,!0)}#loading=state$1(!1);get loading(){return get$3(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#error=state$1(null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value,!0)}#role=state$1(null);get role(){return get$3(this.#role)}set role(value){set$1(this.#role,value,!0)}fetchPromise=null;get defaultParams(){return this.props?.default_generation_settings?.params||null}get contextSize(){const nCtx=this. +props?.default_generation_settings?.n_ctx;return typeof nCtx=="number"?nCtx:null}get webuiSettings(){return this.props?.webui_settings}get isRouterMode(){return this.role===ServerRole.ROUTER}get isModelMode(){return this.role===ServerRole.MODEL}async fetch(){if(this.fetchPromise)return this.fetchPromise;this.loading=!0,this.error=null;const fetchPromise=(async()=>{try{const props=await PropsService.fetch();this.props=props,this.error=null,this.detectRole(props)}catch(error2){this.error=this.getErrorMessage( +error2),console.error("Error fetching server properties:",error2)}finally{this.loading=!1,this.fetchPromise=null}})();this.fetchPromise=fetchPromise,await fetchPromise}getErrorMessage(error2){if(error2 instanceof Error){const message=error2.message||"";if(error2.name==="TypeError"&&message.includes("fetch"))return"Server is not running or unreachable";if(message.includes("ECONNREFUSED"))return"Connection refused - server may be offline";if(message.includes("ENOTFOUND"))return"Server not found - \ +check server address";if(message.includes("ETIMEDOUT"))return"Request timed out";if(message.includes("503"))return"Server temporarily unavailable";if(message.includes("500"))return"Server error - check server logs";if(message.includes("404"))return"Server endpoint not found";if(message.includes("403")||message.includes("401"))return"Access denied"}return"Failed to connect to server"}clear(){this.props=null,this.error=null,this.loading=!1,this.role=null,this.fetchPromise=null}detectRole(props){const newRole=props?. +role===ServerRole.ROUTER?ServerRole.ROUTER:ServerRole.MODEL;this.role!==newRole&&(this.role=newRole,console.info(`Server running in ${newRole===ServerRole.ROUTER?"ROUTER":"MODEL"} mode`))}}const serverStore=new ServerStore,serverProps=()=>serverStore.props,serverLoading=()=>serverStore.loading,serverError=()=>serverStore.error,contextSize=()=>serverStore.contextSize,isRouterMode=()=>serverStore.isRouterMode;class SettingsStore{#config=state$1(proxy({...SETTING_CONFIG_DEFAULT}));get config(){return get$3( +this.#config)}set config(value){set$1(this.#config,value,!0)}#isInitialized=state$1(!1);get isInitialized(){return get$3(this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#userOverrides=state$1(proxy(new Set));get userOverrides(){return get$3(this.#userOverrides)}set userOverrides(value){set$1(this.#userOverrides,value,!0)}getServerDefaults(){const serverParams=serverStore.defaultParams,webuiSettings=serverStore.webuiSettings;return ParameterSyncService.extractServerDefaults( +serverParams,webuiSettings)}constructor(){this.initialize()}initialize(){try{this.loadConfig(),this.migrateLegacyTheme(),setMode(this.config[SETTINGS_KEYS.THEME]),this.isInitialized=!0}catch(error2){console.error("Failed to initialize settings store:",error2)}}loadConfig(){try{const storedConfigRaw=localStorage.getItem(CONFIG_LOCALSTORAGE_KEY),savedVal=JSON.parse(storedConfigRaw||"{}");this.config={...SETTING_CONFIG_DEFAULT,...savedVal},SETTINGS_KEYS.SEND_ON_ENTER in savedVal||new IsMobile().current&& +(this.config[SETTINGS_KEYS.SEND_ON_ENTER]=!1);const savedOverrides=JSON.parse(localStorage.getItem(USER_OVERRIDES_LOCALSTORAGE_KEY)||"[]");this.userOverrides=new Set(savedOverrides)}catch(error2){console.warn("Failed to parse config from localStorage, using defaults:",error2),this.config={...SETTING_CONFIG_DEFAULT},this.userOverrides=new Set}}migrateLegacyTheme(){const legacyTheme=localStorage.getItem("theme");legacyTheme&&(this.config[SETTINGS_KEYS.THEME]=legacyTheme,localStorage.removeItem("th\ +eme"),this.saveConfig(),setMode(legacyTheme))}updateConfig(key2,value){if(this.config[key2]=value,ParameterSyncService.canSyncParameter(key2)){const propsDefault=this.getServerDefaults()[key2];if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint(propsDefault);normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}updateMultipleConfig(updates){Object.assign(this.config,updates); +const propsDefaults=this.getServerDefaults();for(const[key2,value]of Object.entries(updates))if(ParameterSyncService.canSyncParameter(key2)){const propsDefault=propsDefaults[key2];if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint(propsDefault);normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}saveConfig(){try{localStorage.setItem(CONFIG_LOCALSTORAGE_KEY,JSON.stringify( +this.config)),localStorage.setItem(USER_OVERRIDES_LOCALSTORAGE_KEY,JSON.stringify(Array.from(this.userOverrides)))}catch(error2){console.error("Failed to save config to localStorage:",error2)}}updateTheme(newTheme){this.updateConfig(SETTINGS_KEYS.THEME,newTheme),setMode(newTheme)}resetConfig(){this.config={...SETTING_CONFIG_DEFAULT},this.saveConfig()}resetTheme(){this.updateConfig(SETTINGS_KEYS.THEME,SETTING_CONFIG_DEFAULT[SETTINGS_KEYS.THEME]),setMode(SETTING_CONFIG_DEFAULT[SETTINGS_KEYS.THEME])}resetAll(){ +this.resetConfig(),this.resetTheme()}resetParameterToServerDefault(key2){const serverDefaults=this.getServerDefaults(),webuiSettings=serverStore.webuiSettings;webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]):serverDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this.config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.delete(key2),this.saveConfig()}syncWithServerDefaults(){const propsDefaults=this. +getServerDefaults();if(Object.keys(propsDefaults).length===0)return;const webuiSettings=serverStore.webuiSettings,webuiSettingsKeys=new Set(webuiSettings?Object.keys(webuiSettings):[]);for(const[key2,propsValue]of Object.entries(propsDefaults)){const currentValue=getConfigValue(this.config,key2),normalizedCurrent=normalizeFloatingPoint(currentValue),normalizedDefault=normalizeFloatingPoint(propsValue);normalizedCurrent===normalizedDefault&&(this.userOverrides.delete(key2),!webuiSettingsKeys.has( +key2)&&getConfigValue(SETTING_CONFIG_DEFAULT,key2)===void 0&&setConfigValue(this.config,key2,void 0))}if(webuiSettings)for(const[key2,value]of Object.entries(webuiSettings))!this.userOverrides.has(key2)&&value!==void 0&&setConfigValue(this.config,key2,value);this.saveConfig(),console.log("User overrides after sync:",Array.from(this.userOverrides))}forceSyncWithServerDefaults(){const propsDefaults=this.getServerDefaults(),webuiSettings=serverStore.webuiSettings;for(const key2 of ParameterSyncService. +getSyncableParameterKeys())webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]):propsDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this.config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.delete(key2);this.saveConfig()}getConfig(key2){return this.config[key2]}getAllConfig(){return{...this.config}}canSyncParameter(key2){return ParameterSyncService.canSyncParameter(key2)}getParameterInfo(key2){ +const propsDefaults=this.getServerDefaults(),currentValue=getConfigValue(this.config,key2);return ParameterSyncService.getParameterInfo(key2,currentValue??"",propsDefaults,this.userOverrides)}getParameterDiff(){const serverDefaults=this.getServerDefaults();if(Object.keys(serverDefaults).length===0)return{};const configAsRecord=configToParameterRecord(this.config,ParameterSyncService.getSyncableParameterKeys());return ParameterSyncService.createParameterDiff(configAsRecord,serverDefaults)}clearAllUserOverrides(){ +this.userOverrides.clear(),this.saveConfig(),console.log("Cleared all user overrides")}exportSettings(includeSensitiveData=!1){const configToExport=includeSensitiveData?{...this.config}:Object.fromEntries(Object.entries(this.config).filter(([key2])=>key2!=="apiKey"));if("mcpServers"in configToExport&&!includeSensitiveData)try{const safeServers=JSON.parse(configToExport.mcpServers).map(server=>(delete server.headers,server));configToExport.mcpServers=JSON.stringify(safeServers)}catch{delete configToExport. +mcpServers}return{version:1,timestamp:Date.now(),config:configToExport,userOverrides:Array.from(this.userOverrides)}}importSettings(data){if(!data||!data.config)throw new Error("Invalid settings data: missing config");this.config={...SETTING_CONFIG_DEFAULT,...data.config},this.userOverrides=new Set(data.userOverrides??[]),this.saveConfig(),setMode(this.config[SETTINGS_KEYS.THEME]),console.log("Settings imported successfully")}}const settingsStore=new SettingsStore,config$1=()=>settingsStore.config; +function redactValue(value,showLastChars){return showLastChars?`....${value.slice(-showLastChars)}`:"[redacted]"}function getAuthHeaders(){const apiKey=config$1().apiKey?.toString().trim();return apiKey?{Authorization:`Bearer ${apiKey}`}:{}}function getJsonHeaders(){return{"Content-Type":"application/json",...getAuthHeaders()}}function sanitizeHeaders(headers,extraRedactedHeaders,partialRedactHeaders){if(!headers)return{};const normalized=new Headers(headers),sanitized={},redactedHeaders=new Set( +Array.from(extraRedactedHeaders??[],header=>header.toLowerCase()));for(const[key2,value]of normalized.entries()){const normalizedKey=key2.toLowerCase(),partialChars=partialRedactHeaders?.get(normalizedKey);partialChars!==void 0?sanitized[key2]=redactValue(value,partialChars):REDACTED_HEADERS.has(normalizedKey)||redactedHeaders.has(normalizedKey)?sanitized[key2]=redactValue(value):sanitized[key2]=value}return sanitized}async function apiFetch(path2,options={}){const{authOnly=!1,headers:customHeaders, +...fetchOptions}=options,headers={...authOnly?getAuthHeaders():getJsonHeaders(),...customHeaders},url2=path2.startsWith(UrlProtocol.HTTP)||path2.startsWith(UrlProtocol.HTTPS)?path2:`${base}${path2}`,response=await fetch(url2,{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiFetchWithParams(basePath,params,options={}){const url2=new URL(basePath,window.location.href);for(const[key2, +value]of Object.entries(params))value!=null&&url2.searchParams.set(key2,value);const{authOnly=!1,headers:customHeaders,...fetchOptions}=options,headers={...authOnly?getAuthHeaders():getJsonHeaders(),...customHeaders},response=await fetch(url2.toString(),{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiPost(path2,body2,options={}){return apiFetch(path2,{method:"POST",body:JSON.stringify( +body2),...options})}async function parseErrorMessage(response){try{const errorData=await response.json();if(errorData?.error?.message)return errorData.error.message;if(errorData?.error&&typeof errorData.error=="string")return errorData.error;if(errorData?.message)return errorData.message}catch{}return`Request failed: ${response.status} ${response.statusText}`}function error(status,body2){throw new HttpError(status,body2)}async function validateApiKey(fetch2){try{const apiKey=config$1().apiKey,headers={ +"Content-Type":"application/json"};apiKey&&(headers.Authorization=`Bearer ${apiKey}`);const response=await fetch2(`${base}/props`,{headers});if(!response.ok){if(response.status===401||response.status===403)throw error(401,"Access denied");console.warn(`Server responded with status ${response.status} during API key validation`);return}}catch(err){if(err&&typeof err=="object"&&"status"in err)throw err;console.warn("Cannot connect to server for API key validation:",err)}}function isMcpPrompt(item){ +return!!(item.attachment?.type===AttachmentType.MCP_PROMPT||item.uploadedFile?.type===SpecialFileType.MCP_PROMPT&&item.uploadedFile.mcpPrompt)}function isMcpResource(item){return item.attachment?.type===AttachmentType.MCP_RESOURCE}function getUploadedFileCategory$1(file){const categoryByMime=getFileTypeCategory(file.type);return categoryByMime||getFileTypeCategoryByExtension(file.name)}function getAttachmentDisplayItems(options){const{uploadedFiles=[],attachments=[]}=options,items2=[];for(const file of uploadedFiles) +items2.push({id:file.id,name:file.name,size:file.size,preview:file.preview,isImage:getUploadedFileCategory$1(file)===FileTypeCategory.IMAGE,isLoading:file.isLoading,loadError:file.loadError,uploadedFile:file,textContent:file.textContent});for(const[index2,attachment]of attachments.entries()){const isImage2=isImageFile(attachment);items2.push({id:`attachment-${index2}`,name:attachment.name,size:"size"in attachment?attachment.size:void 0,preview:isImage2&&"base64Url"in attachment?attachment.base64Url: +void 0,isImage:isImage2,attachment,attachmentIndex:index2,textContent:"content"in attachment?attachment.content:void 0})}return items2.reverse()}function getUploadedFileCategory(uploadedFile){const categoryByMime=getFileTypeCategory(uploadedFile.type);return categoryByMime||getFileTypeCategoryByExtension(uploadedFile.name)}function isTextFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.TEXT:attachment?attachment.type===AttachmentType.TEXT|| +attachment.type===AttachmentType.LEGACY_CONTEXT:!1}function isImageFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.IMAGE:attachment?attachment.type===AttachmentType.IMAGE:!1}function isPdfFile$1(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.PDF:attachment?attachment.type===AttachmentType.PDF:!1}function isAudioFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory( +uploadedFile)===FileTypeCategory.AUDIO:attachment?attachment.type===AttachmentType.AUDIO:!1}function autoResizeTextarea(textareaElement){textareaElement&&(textareaElement.style.height="1rem",textareaElement.style.height=textareaElement.scrollHeight+"px")}function findMessageById(messages,id2){if(id2)return messages.find(m=>m.id===id2)}function filterByLeafNodeId(messages,leafNodeId,includeRoot=!1){const result=[],nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);let startNode=nodeMap. +get(leafNodeId);if(!startNode){let latestTime=-1;for(const msg of messages)msg.timestamp>latestTime&&(startNode=msg,latestTime=msg.timestamp)}let currentNode=startNode;for(;currentNode&&((currentNode.type!=="root"||includeRoot)&&result.push(currentNode),currentNode.parent!==null);)currentNode=nodeMap.get(currentNode.parent);return result.sort((a,b)=>a.role===MessageRole.SYSTEM&&b.role!==MessageRole.SYSTEM?-1:a.role!==MessageRole.SYSTEM&&b.role===MessageRole.SYSTEM?1:a.timestamp-b.timestamp),result} +function findLeafNode(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);let currentNode=nodeMap.get(messageId);for(;currentNode&¤tNode.children.length>0;){const lastChildId=currentNode.children[currentNode.children.length-1];currentNode=nodeMap.get(lastChildId)}return currentNode?.id??messageId}function findDescendantMessages(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);const descendants=[],queue=[messageId]; +for(;queue.length>0;){const currentId=queue.shift(),currentNode=nodeMap.get(currentId);if(currentNode)for(const childId of currentNode.children)descendants.push(childId),queue.push(childId)}return descendants}function getMessageSiblings(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);const message=nodeMap.get(messageId);if(!message)return null;if(message.parent===null)return{message,siblingIds:[messageId],currentIndex:0,totalSiblings:1};const parentNode=nodeMap. +get(message.parent);if(!parentNode)return{message,siblingIds:[messageId],currentIndex:0,totalSiblings:1};const siblingIds=parentNode.children,siblingLeafIds=siblingIds.map(siblingId=>findLeafNode(messages,siblingId)),currentIndex=siblingIds.indexOf(messageId);return{message,siblingIds:siblingLeafIds,currentIndex,totalSiblings:siblingIds.length}}var core$5,hasRequiredCore$4;function requireCore$4(){if(hasRequiredCore$4)return core$5;hasRequiredCore$4=1;function deepFreeze(obj){return obj instanceof +Map?obj.clear=obj.delete=obj.set=function(){throw new Error("map is read-only")}:obj instanceof Set&&(obj.add=obj.clear=obj.delete=function(){throw new Error("set is read-only")}),Object.freeze(obj),Object.getOwnPropertyNames(obj).forEach(name=>{const prop2=obj[name],type2=typeof prop2;(type2==="object"||type2==="function")&&!Object.isFrozen(prop2)&&deepFreeze(prop2)}),obj}class Response2{constructor(mode){mode.data===void 0&&(mode.data={}),this.data=mode.data,this.isMatchIgnored=!1}ignoreMatch(){ +this.isMatchIgnored=!0}}function escapeHTML(value){return value.replace(/&/g,"&").replace(//g,">").replace(/"/g,""").replace(/'/g,"'")}function inherit$1(original,...objects){const result=Object.create(null);for(const key2 in original)result[key2]=original[key2];return objects.forEach(function(obj){for(const key2 in obj)result[key2]=obj[key2]}),result}const SPAN_CLOSE="",emitsWrappingTags=node2=>!!node2.scope,scopeToCSSClass=(name,{prefix})=>{if(name. +startsWith("language:"))return name.replace("language:","language-");if(name.includes(".")){const pieces=name.split(".");return[`${prefix}${pieces.shift()}`,...pieces.map((x,i)=>`${x}${"_".repeat(i+1)}`)].join(" ")}return`${prefix}${name}`};class HTMLRenderer{constructor(parseTree3,options){this.buffer="",this.classPrefix=options.classPrefix,parseTree3.walk(this)}addText(text2){this.buffer+=escapeHTML(text2)}openNode(node2){if(!emitsWrappingTags(node2))return;const className=scopeToCSSClass(node2. +scope,{prefix:this.classPrefix});this.span(className)}closeNode(node2){emitsWrappingTags(node2)&&(this.buffer+=SPAN_CLOSE)}value(){return this.buffer}span(className){this.buffer+=``}}const newNode=(opts={})=>{const result={children:[]};return Object.assign(result,opts),result};class TokenTree{constructor(){this.rootNode=newNode(),this.stack=[this.rootNode]}get top(){return this.stack[this.stack.length-1]}get root(){return this.rootNode}add(node2){this.top.children.push( +node2)}openNode(scope2){const node2=newNode({scope:scope2});this.add(node2),this.stack.push(node2)}closeNode(){if(this.stack.length>1)return this.stack.pop()}closeAllNodes(){for(;this.closeNode(););}toJSON(){return JSON.stringify(this.rootNode,null,4)}walk(builder){return this.constructor._walk(builder,this.rootNode)}static _walk(builder,node2){return typeof node2=="string"?builder.addText(node2):node2.children&&(builder.openNode(node2),node2.children.forEach(child2=>this._walk(builder,child2)), +builder.closeNode(node2)),builder}static _collapse(node2){typeof node2!="string"&&node2.children&&(node2.children.every(el=>typeof el=="string")?node2.children=[node2.children.join("")]:node2.children.forEach(child2=>{TokenTree._collapse(child2)}))}}class TokenTreeEmitter extends TokenTree{constructor(options){super(),this.options=options}addText(text2){text2!==""&&this.add(text2)}startScope(scope2){this.openNode(scope2)}endScope(){this.closeNode()}__addSublanguage(emitter,name){const node2=emitter. +root;name&&(node2.scope=`language:${name}`),this.add(node2)}toHTML(){return new HTMLRenderer(this,this.options).value()}finalize(){return this.closeAllNodes(),!0}}function source2(re2){return re2?typeof re2=="string"?re2:re2.source:null}function lookahead2(re2){return concat2("(?=",re2,")")}function anyNumberOfTimes(re2){return concat2("(?:",re2,")*")}function optional2(re2){return concat2("(?:",re2,")?")}function concat2(...args){return args.map(x=>source2(x)).join("")}function stripOptionsFromArgs2(args){ const opts=args[args.length-1];return typeof opts=="object"&&opts.constructor===Object?(args.splice(args.length-1,1),opts):{}}function either2(...args){return"("+(stripOptionsFromArgs2(args).capture?"":"?:")+args.map(x=>source2(x)).join("|")+")"}function countMatchGroups(re2){return new RegExp(re2.toString()+"|").exec("").length-1}function startsWith(re2,lexeme){const match=re2&&re2.exec(lexeme);return match&&match.index===0}const BACKREF_RE=/\[(?:[^\\\]]|\\.)*\]|\(\??|\\([1-9][0-9]*)|\\./;function _rewriteBackreferences(regexps,{ joinWith}){let numCaptures=0;return regexps.map(regex=>{numCaptures+=1;const offset2=numCaptures;let re2=source2(regex),out="";for(;re2.length>0;){const match=BACKREF_RE.exec(re2);if(!match){out+=re2;break}out+=re2.substring(0,match.index),re2=re2.substring(match.index+match[0].length),match[0][0]==="\\"&&match[1]?out+="\\"+String(Number(match[1])+offset2):(out+=match[0],match[0]==="("&&numCaptures++)}return out}).map(re2=>`(${re2})`).join(joinWith)}const MATCH_NOTHING_RE=/\b\B/,IDENT_RE2="[a-zA\ -Z]\\w*",UNDERSCORE_IDENT_RE="[a-zA-Z_]\\w*",NUMBER_RE="\\b\\d+(\\.\\d+)?",C_NUMBER_RE="(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)",BINARY_NUMBER_RE="\\b(0b[01]+)",RE_STARTERS_RE="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~",SHEBANG=(opts={})=>{const beginShebang=/^#![ ]*\//;return opts.binary&&(opts.begin=concat2(beginShebang,/.*\b/,opts.binary,/\b.*/)),inherit$1({scope:"\ @@ -3447,89 +3509,90 @@ registerLanguage("verilog",requireVerilog()),hljs.registerLanguage("vhdl",requir libExports);function highlightCode(code2,language2){if(!code2)return"";try{const lang=language2.toLowerCase();return HighlightJS$1.getLanguage(lang)?HighlightJS$1.highlight(code2,{language:lang}).value:HighlightJS$1.highlightAuto(code2).value}catch{return code2.replace(AMPERSAND_REGEX,"&").replace(LT_REGEX,"<").replace(GT_REGEX,">")}}function detectIncompleteCodeBlock(markdown2){const fencePattern=new RegExp(FENCE_PATTERN.source,FENCE_PATTERN.flags),fences=[];let fenceMatch;for(;(fenceMatch= fencePattern.exec(markdown2))!==null;){const pos=fenceMatch[0].startsWith(NEWLINE)?fenceMatch.index+1:fenceMatch.index;fences.push(pos)}if(fences.length%2===0)return null;const openingIndex=fences[fences.length-1],langMatch=markdown2.slice(openingIndex+3).match(LANG_PATTERN),language2=langMatch?.[1]||DEFAULT_LANGUAGE,codeStartIndex=openingIndex+3+(langMatch?.[0]?.length??0),code2=markdown2.slice(codeStartIndex);return{language:language2,code:code2,openingIndex}}function setConfigValue(config2,key2,value){ key2 in config2&&(config2[key2]=value)}function getConfigValue(config2,key2){return config2[key2]}function configToParameterRecord(config2,keys2){const record2={};for(const key2 of keys2){const value=getConfigValue(config2,key2);value!==void 0&&(record2[key2]=value)}return record2}function buildProxiedUrl(targetUrl){const proxyPath=`${base}${CORS_PROXY_ENDPOINT}`,proxyUrl=new URL(proxyPath,window.location.origin);return proxyUrl.searchParams.set(CORS_PROXY_URL_PARAM,targetUrl),proxyUrl}function buildProxiedHeaders(headers){ -const proxiedHeaders={};for(const[key2,value]of Object.entries(headers))proxiedHeaders[`x-proxy-header-${key2}`]=value;return proxiedHeaders}function getProxiedUrlString(targetUrl){return buildProxiedUrl(targetUrl).href}function createMessageCountMap(exportedData){const countMap=new Map;for(const item of exportedData)countMap.set(item.conv.id,item.messages.length);return countMap}const bars=Array(12).fill(0);var root_1$10=from_html('
      '),root$1M=from_html('
');function Loader($$anchor,$$props){push$1($$props,!0);var div=root$1M(),div_1=child(div);each(div_1,23,()=>bars,(_,i)=>`spinner-bar-${i}`,($$anchor2,_)=>{var div_2=root_1$10();append($$anchor2,div_2)}),reset(div_1),reset(div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"data-visible",$$props.visible)},[()=>clsx(["sonner-loading-wrapper",$$props.class].filter(Boolean).join(" "))]),append($$anchor,div),pop()}function cn(...classes){return classes. -filter(Boolean).join(" ")}const isBrowser$1=typeof document<"u",defaultWindow$2=typeof window<"u"?window:void 0;function getActiveElement$2(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}let ActiveElement$2=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$2,document:document2=window2?.document}=options; -window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement$2(this.#document):null}};new ActiveElement$2;class Context2{#name;#key;constructor(name){this.#name=name,this.#key=Symbol(name)}get key(){return this.#key}exists(){return hasContext(this.#key)}get(){ -const context=getContext(this.#key);if(context===void 0)throw new Error(`Context "${this.#name}" not found`);return context}getOr(fallback2){const context=getContext(this.#key);return context===void 0?fallback2:context}set(context){return setContext(this.#key,context)}}const sonnerContext=new Context2("");let toastsCounter=0;class ToastState{#toasts=state$1(proxy([]));get toasts(){return get$3(this.#toasts)}set toasts(value){set$1(this.#toasts,value,!0)}#heights=state$1(proxy([]));get heights(){ -return get$3(this.#heights)}set heights(value){set$1(this.#heights,value,!0)}#findToastIdx=id2=>{const idx=this.toasts.findIndex(toast2=>toast2.id===id2);return idx===-1?null:idx};addToast=data=>{isBrowser$1&&this.toasts.unshift(data)};updateToast=({id:id2,data,type:type2,message})=>{const toastIdx=this.toasts.findIndex(toast2=>toast2.id===id2),toastToUpdate=this.toasts[toastIdx];this.toasts[toastIdx]={...toastToUpdate,...data,id:id2,title:message,type:type2,updated:!0}};create=data=>{const{message, -...rest}=data,id2=typeof data?.id=="number"||data.id&&data.id?.length>0?data.id:toastsCounter++,dismissable=data.dismissable===void 0?!0:data.dismissable,type2=data.type===void 0?"default":data.type;return untrack$1(()=>{this.toasts.find(toast2=>toast2.id===id2)?this.updateToast({id:id2,data,type:type2,message,dismissable}):this.addToast({...rest,id:id2,title:message,dismissable,type:type2})}),id2};dismiss=id2=>(untrack$1(()=>{if(id2===void 0){this.toasts=this.toasts.map(toast2=>({...toast2,dismiss:!0})); -return}const toastIdx=this.toasts.findIndex(toast2=>toast2.id===id2);this.toasts[toastIdx]&&(this.toasts[toastIdx]={...this.toasts[toastIdx],dismiss:!0})}),id2);remove=id2=>{if(id2===void 0){this.toasts=[];return}const toastIdx=this.#findToastIdx(id2);if(toastIdx!==null)return this.toasts.splice(toastIdx,1),id2};message=(message,data)=>this.create({...data,type:"default",message});error=(message,data)=>this.create({...data,type:"error",message});success=(message,data)=>this.create({...data,type:"\ -success",message});info=(message,data)=>this.create({...data,type:"info",message});warning=(message,data)=>this.create({...data,type:"warning",message});loading=(message,data)=>this.create({...data,type:"loading",message});promise=(promise,data)=>{if(!data)return;let id2;data.loading!==void 0&&(id2=this.create({...data,promise,type:"loading",message:typeof data.loading=="string"?data.loading:data.loading()}));const p2=promise instanceof Promise?promise:promise();let shouldDismiss=id2!==void 0;return p2. -then(response=>{if(typeof response=="object"&&response&&"ok"in response&&typeof response.ok=="boolean"&&!response.ok){shouldDismiss=!1;const message=constructPromiseErrorMessage(response);this.create({id:id2,type:"error",message})}else if(data.success!==void 0){shouldDismiss=!1;const message=typeof data.success=="function"?data.success(response):data.success;this.create({id:id2,type:"success",message})}}).catch(error2=>{if(data.error!==void 0){shouldDismiss=!1;const message=typeof data.error=="f\ -unction"?data.error(error2):data.error;this.create({id:id2,type:"error",message})}}).finally(()=>{shouldDismiss&&(this.dismiss(id2),id2=void 0),data.finally?.()}),id2};custom=(component2,data)=>{const id2=data?.id||toastsCounter++;return this.create({component:component2,id:id2,...data}),id2};removeHeight=id2=>{this.heights=this.heights.filter(height=>height.toastId!==id2)};setHeight=data=>{const toastIdx=this.#findToastIdx(data.toastId);if(toastIdx===null){this.heights.push(data);return}this.heights[toastIdx]= -data};reset=()=>{this.toasts=[],this.heights=[]}}function constructPromiseErrorMessage(response){return response&&typeof response=="object"&&"status"in response?`HTTP error! Status: ${response.status}`:`Error! ${response}`}const toastState=new ToastState;function toastFunction(message,data){return toastState.create({message,...data})}class SonnerState{#activeToasts=user_derived(()=>toastState.toasts.filter(toast2=>!toast2.dismiss));get toasts(){return get$3(this.#activeToasts)}}const basicToast=toastFunction, -toast=Object.assign(basicToast,{success:toastState.success,info:toastState.info,warning:toastState.warning,error:toastState.error,custom:toastState.custom,message:toastState.message,promise:toastState.promise,dismiss:toastState.dismiss,loading:toastState.loading,getActiveToasts:()=>toastState.toasts.filter(toast2=>!toast2.dismiss)});function isAction(action2){return action2.label!==void 0}function useDocumentHidden(){let current2=state$1(proxy(typeof document<"u"?document.hidden:!1));return user_effect( -()=>on(document,"visibilitychange",()=>{set$1(current2,document.hidden,!0)})),{get current(){return get$3(current2)}}}const TOAST_LIFETIME$1=4e3,GAP$1=14,SWIPE_THRESHOLD=45,TIME_BEFORE_UNMOUNT=200,SCALE_MULTIPLIER=.05,DEFAULT_TOAST_CLASSES={toast:"",title:"",description:"",loader:"",closeButton:"",cancelButton:"",actionButton:"",action:"",warning:"",error:"",success:"",default:"",info:"",loading:""};function getDefaultSwipeDirections(position2){const[y,x]=position2.split("-"),directions=[];return y&& -directions.push(y),x&&directions.push(x),directions}function getDampening(delta){return 1/(1.5+Math.abs(delta)/20)}var root_2$1g=from_html("
"),root_4$A=from_html(''),root_7$v=from_html('
'),root_20$7=from_html('
'),root_25$4=from_html(''),root_28$1=from_html(''),root_6$z=from_html('
',1),root$1L=from_html('
    • ');function Toast($$anchor,$$props){push$1($$props,!0);const LoadingIcon=$$anchor2=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$1g(),node_1=child(div);snippet(node_1,()=>$$props.loadingIcon),reset(div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"data-visible",get$3(toastType)==="loading")},[()=>clsx(cn(get$3(classes)?. -loader,$$props.toast?.classes?.loader,"sonner-loader"))]),append($$anchor3,div)},alternate=$$anchor3=>{{let $0=user_derived(()=>cn(get$3(classes)?.loader,$$props.toast.classes?.loader)),$1=user_derived(()=>get$3(toastType)==="loading");Loader($$anchor3,{get class(){return get$3($0)},get visible(){return get$3($1)}})}};if_block(node2,$$render=>{$$props.loadingIcon?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment)};let cancelButtonStyle=prop($$props,"cancelButtonStyle",3,""), -actionButtonStyle=prop($$props,"actionButtonStyle",3,""),descriptionClass=prop($$props,"descriptionClass",3,""),unstyled=prop($$props,"unstyled",3,!1),defaultRichColors=prop($$props,"defaultRichColors",3,!1);const defaultClasses={...DEFAULT_TOAST_CLASSES};let mounted=state$1(!1),removed=state$1(!1),swiping=state$1(!1),swipeOut=state$1(!1),isSwiped=state$1(!1),offsetBeforeRemove=state$1(0),initialHeight=state$1(0),remainingTime=$$props.toast.duration||$$props.duration||TOAST_LIFETIME$1,toastRef=state$1( -void 0),swipeDirection=state$1(null),swipeOutDirection=state$1(null);const isFront=user_derived(()=>$$props.index===0),isVisible=user_derived(()=>$$props.index+1<=$$props.visibleToasts),toastType=user_derived(()=>$$props.toast.type),dismissable=user_derived(()=>$$props.toast.dismissable!==!1),toastClass=user_derived(()=>$$props.toast.class||""),toastDescriptionClass=user_derived(()=>$$props.toast.descriptionClass||""),heightIndex=user_derived(()=>toastState.heights.findIndex(height=>height.toastId=== -$$props.toast.id)||0),closeButton=user_derived(()=>$$props.toast.closeButton??$$props.closeButton),duration2=user_derived(()=>$$props.toast.duration??$$props.duration??TOAST_LIFETIME$1);let pointerStart=null;const coords=user_derived(()=>$$props.position.split("-")),toastsHeightBefore=user_derived(()=>toastState.heights.reduce((prev2,curr,reducerIndex)=>reducerIndex>=get$3(heightIndex)?prev2:prev2+curr.height,0)),isDocumentHidden=useDocumentHidden(),invert=user_derived(()=>$$props.toast.invert|| -$$props.invert),disabled=user_derived(()=>get$3(toastType)==="loading"),classes=user_derived(()=>({...defaultClasses,...$$props.classes})),toastTitle=user_derived(()=>$$props.toast.title),toastDescription=user_derived(()=>$$props.toast.description);let closeTimerStartTime=state$1(0),lastCloseTimerStartTime=state$1(0);const offset2=user_derived(()=>Math.round(get$3(heightIndex)*GAP$1+get$3(toastsHeightBefore)));user_effect(()=>{get$3(toastTitle),get$3(toastDescription);let scale2;$$props.expanded|| -$$props.expandByDefault?scale2=1:scale2=1-$$props.index*SCALE_MULTIPLIER;const toastEl=untrack$1(()=>get$3(toastRef));if(toastEl===void 0)return;toastEl.style.setProperty("height","auto");const offsetHeight=toastEl.offsetHeight,rectHeight=toastEl.getBoundingClientRect().height,scaledRectHeight=Math.round(rectHeight/scale2+Number.EPSILON&100)/100;toastEl.style.removeProperty("height");let finalHeight;Math.abs(scaledRectHeight-offsetHeight)<1?finalHeight=scaledRectHeight:finalHeight=offsetHeight,set$1( -initialHeight,finalHeight,!0),untrack$1(()=>{toastState.setHeight({toastId:$$props.toast.id,height:finalHeight})})});function deleteToast(){set$1(removed,!0),set$1(offsetBeforeRemove,get$3(offset2),!0),toastState.removeHeight($$props.toast.id),setTimeout(()=>{toastState.remove($$props.toast.id)},TIME_BEFORE_UNMOUNT)}let timeoutId;const isPromiseLoadingOrInfiniteDuration=user_derived(()=>$$props.toast.promise&&get$3(toastType)==="loading"||$$props.toast.duration===Number.POSITIVE_INFINITY);function startTimer(){ -set$1(closeTimerStartTime,new Date().getTime(),!0),timeoutId=setTimeout(()=>{$$props.toast.onAutoClose?.($$props.toast),deleteToast()},remainingTime)}function pauseTimer(){if(get$3(lastCloseTimerStartTime){$$props.toast.updated&&(clearTimeout(timeoutId),remainingTime=get$3(duration2),startTimer())}), -user_effect(()=>(get$3(isPromiseLoadingOrInfiniteDuration)||($$props.expanded||$$props.interacting||isDocumentHidden.current?pauseTimer():startTimer()),()=>clearTimeout(timeoutId))),onMount$1(()=>{set$1(mounted,!0);const height=get$3(toastRef)?.getBoundingClientRect().height;return set$1(initialHeight,height,!0),toastState.setHeight({toastId:$$props.toast.id,height}),()=>{toastState.removeHeight($$props.toast.id)}}),user_effect(()=>{$$props.toast.delete&&untrack$1(()=>{deleteToast(),$$props.toast. -onDismiss?.($$props.toast)})});const handlePointerDown=event2=>{if(get$3(disabled))return;set$1(offsetBeforeRemove,get$3(offset2),!0);const target2=event2.target;target2.setPointerCapture(event2.pointerId),target2.tagName!=="BUTTON"&&(set$1(swiping,!0),pointerStart={x:event2.clientX,y:event2.clientY})},handlePointerUp=()=>{if(get$3(swipeOut)||!get$3(dismissable))return;pointerStart=null;const swipeAmountX=Number(get$3(toastRef)?.style.getPropertyValue("--swipe-amount-x").replace("px","")||0),swipeAmountY=Number( -get$3(toastRef)?.style.getPropertyValue("--swipe-amount-y").replace("px","")||0),timeTaken=new Date().getTime()-0,swipeAmount=get$3(swipeDirection)==="x"?swipeAmountX:swipeAmountY,velocity=Math.abs(swipeAmount)/timeTaken;if(Math.abs(swipeAmount)>=SWIPE_THRESHOLD||velocity>.11){set$1(offsetBeforeRemove,get$3(offset2),!0),$$props.toast.onDismiss?.($$props.toast),get$3(swipeDirection)==="x"?set$1(swipeOutDirection,swipeAmountX>0?"right":"left",!0):set$1(swipeOutDirection,swipeAmountY>0?"down":"up", -!0),deleteToast(),set$1(swipeOut,!0);return}else get$3(toastRef)?.style.setProperty("--swipe-amount-x","0px"),get$3(toastRef)?.style.setProperty("--swipe-amount-y","0px");set$1(isSwiped,!1),set$1(swiping,!1),set$1(swipeDirection,null)},handlePointerMove=event2=>{if(!pointerStart||!get$3(dismissable)||(window.getSelection()?.toString().length??-1)>0)return;const yDelta=event2.clientY-pointerStart.y,xDelta=event2.clientX-pointerStart.x,swipeDirections=$$props.swipeDirections??getDefaultSwipeDirections( -$$props.position);!get$3(swipeDirection)&&(Math.abs(xDelta)>1||Math.abs(yDelta)>1)&&set$1(swipeDirection,Math.abs(xDelta)>Math.abs(yDelta)?"x":"y",!0);let swipeAmount={x:0,y:0};if(get$3(swipeDirection)==="y"){if(swipeDirections.includes("top")||swipeDirections.includes("bottom"))if(swipeDirections.includes("top")&&yDelta<0||swipeDirections.includes("bottom")&&yDelta>0)swipeAmount.y=yDelta;else{const dampenedDelta=yDelta*getDampening(yDelta);swipeAmount.y=Math.abs(dampenedDelta)0)swipeAmount.x=xDelta;else{const dampenedDelta=xDelta*getDampening(xDelta);swipeAmount.x=Math.abs(dampenedDelta)0||Math.abs(swipeAmount.y)>0)&&set$1(isSwiped,!0),get$3(toastRef)?.style.setProperty("--swipe-amount-x",`${swipeAmount. -x}px`),get$3(toastRef)?.style.setProperty("--swipe-amount-y",`${swipeAmount.y}px`)},handleDragEnd=()=>{set$1(swiping,!1),set$1(swipeDirection,null),pointerStart=null},icon=user_derived(()=>$$props.toast.icon?$$props.toast.icon:get$3(toastType)==="success"?$$props.successIcon:get$3(toastType)==="error"?$$props.errorIcon:get$3(toastType)==="warning"?$$props.warningIcon:get$3(toastType)==="info"?$$props.infoIcon:get$3(toastType)==="loading"?$$props.loadingIcon:null);var li2=root$1L();set_attribute( -li2,"tabindex",0);let styles2;var node_2=child(li2);{var consequent_1=$$anchor2=>{var button=root_4$A(),node_3=child(button);snippet(node_3,()=>$$props.closeIcon??noop$3),reset(button),template_effect($0=>{set_attribute(button,"aria-label",$$props.closeButtonAriaLabel),set_attribute(button,"data-disabled",get$3(disabled)),set_class(button,1,$0)},[()=>clsx(cn(get$3(classes)?.closeButton,$$props.toast?.classes?.closeButton))]),delegated("click",button,()=>{get$3(disabled)||!get$3(dismissable)||(deleteToast(), -$$props.toast.onDismiss?.($$props.toast))}),append($$anchor2,button)};if_block(node_2,$$render=>{get$3(closeButton)&&!$$props.toast.component&&get$3(toastType)!=="loading"&&$$props.closeIcon!==null&&$$render(consequent_1)})}var node_4=sibling(node_2,2);{var consequent_2=$$anchor2=>{const Component=user_derived(()=>$$props.toast.component);var fragment_2=comment$2(),node_5=first_child(fragment_2);component(node_5,()=>get$3(Component),($$anchor3,Component_1)=>{Component_1($$anchor3,spread_props(()=>$$props. -toast.componentProps,{closeToast:deleteToast}))}),append($$anchor2,fragment_2)},alternate_4=$$anchor2=>{var fragment_3=root_6$z(),node_6=first_child(fragment_3);{var consequent_11=$$anchor3=>{var div_1=root_7$v(),node_7=child(div_1);{var consequent_4=$$anchor4=>{var fragment_4=comment$2(),node_8=first_child(fragment_4);{var consequent_3=$$anchor5=>{var fragment_5=comment$2(),node_9=first_child(fragment_5);component(node_9,()=>$$props.toast.icon,($$anchor6,toast_icon)=>{toast_icon($$anchor6,{})}), -append($$anchor5,fragment_5)},alternate_1=$$anchor5=>{LoadingIcon($$anchor5)};if_block(node_8,$$render=>{$$props.toast.icon?$$render(consequent_3):$$render(alternate_1,-1)})}append($$anchor4,fragment_4)};if_block(node_7,$$render=>{($$props.toast.promise||get$3(toastType)==="loading")&&$$render(consequent_4)})}var node_10=sibling(node_7,2);{var consequent_10=$$anchor4=>{var fragment_7=comment$2(),node_11=first_child(fragment_7);{var consequent_5=$$anchor5=>{var fragment_8=comment$2(),node_12=first_child( -fragment_8);component(node_12,()=>$$props.toast.icon,($$anchor6,toast_icon_1)=>{toast_icon_1($$anchor6,{})}),append($$anchor5,fragment_8)},consequent_6=$$anchor5=>{var fragment_9=comment$2(),node_13=first_child(fragment_9);snippet(node_13,()=>$$props.successIcon??noop$3),append($$anchor5,fragment_9)},consequent_7=$$anchor5=>{var fragment_10=comment$2(),node_14=first_child(fragment_10);snippet(node_14,()=>$$props.errorIcon??noop$3),append($$anchor5,fragment_10)},consequent_8=$$anchor5=>{var fragment_11=comment$2(), -node_15=first_child(fragment_11);snippet(node_15,()=>$$props.warningIcon??noop$3),append($$anchor5,fragment_11)},consequent_9=$$anchor5=>{var fragment_12=comment$2(),node_16=first_child(fragment_12);snippet(node_16,()=>$$props.infoIcon??noop$3),append($$anchor5,fragment_12)};if_block(node_11,$$render=>{$$props.toast.icon?$$render(consequent_5):get$3(toastType)==="success"?$$render(consequent_6,1):get$3(toastType)==="error"?$$render(consequent_7,2):get$3(toastType)==="warning"?$$render(consequent_8, -3):get$3(toastType)==="info"&&$$render(consequent_9,4)})}append($$anchor4,fragment_7)};if_block(node_10,$$render=>{$$props.toast.type!=="loading"&&$$render(consequent_10)})}reset(div_1),template_effect($0=>set_class(div_1,1,$0),[()=>clsx(cn(get$3(classes)?.icon,$$props.toast?.classes?.icon))]),append($$anchor3,div_1)};if_block(node_6,$$render=>{(get$3(toastType)||$$props.toast.icon||$$props.toast.promise)&&$$props.toast.icon!==null&&(get$3(icon)!==null||$$props.toast.icon)&&$$render(consequent_11)})} -var div_2=sibling(node_6,2),div_3=child(div_2),node_17=child(div_3);{var consequent_13=$$anchor3=>{var fragment_13=comment$2(),node_18=first_child(fragment_13);{var consequent_12=$$anchor4=>{const Title=user_derived(()=>$$props.toast.title);var fragment_14=comment$2(),node_19=first_child(fragment_14);component(node_19,()=>get$3(Title),($$anchor5,Title_1)=>{Title_1($$anchor5,spread_props(()=>$$props.toast.componentProps))}),append($$anchor4,fragment_14)},alternate_2=$$anchor4=>{var text2=text$8(); -template_effect(()=>set_text(text2,$$props.toast.title)),append($$anchor4,text2)};if_block(node_18,$$render=>{typeof $$props.toast.title!="string"?$$render(consequent_12):$$render(alternate_2,-1)})}append($$anchor3,fragment_13)};if_block(node_17,$$render=>{$$props.toast.title&&$$render(consequent_13)})}reset(div_3);var node_20=sibling(div_3,2);{var consequent_15=$$anchor3=>{var div_4=root_20$7(),node_21=child(div_4);{var consequent_14=$$anchor4=>{const Description=user_derived(()=>$$props.toast. -description);var fragment_16=comment$2(),node_22=first_child(fragment_16);component(node_22,()=>get$3(Description),($$anchor5,Description_1)=>{Description_1($$anchor5,spread_props(()=>$$props.toast.componentProps))}),append($$anchor4,fragment_16)},alternate_3=$$anchor4=>{var text_1=text$8();template_effect(()=>set_text(text_1,$$props.toast.description)),append($$anchor4,text_1)};if_block(node_21,$$render=>{typeof $$props.toast.description!="string"?$$render(consequent_14):$$render(alternate_3,-1)})} -reset(div_4),template_effect($0=>set_class(div_4,1,$0),[()=>clsx(cn(descriptionClass(),get$3(toastDescriptionClass),get$3(classes)?.description,$$props.toast.classes?.description))]),append($$anchor3,div_4)};if_block(node_20,$$render=>{$$props.toast.description&&$$render(consequent_15)})}reset(div_2);var node_23=sibling(div_2,2);{var consequent_18=$$anchor3=>{var fragment_18=comment$2(),node_24=first_child(fragment_18);{var consequent_16=$$anchor4=>{var fragment_19=comment$2(),node_25=first_child( -fragment_19);component(node_25,()=>$$props.toast.cancel,($$anchor5,toast_cancel)=>{toast_cancel($$anchor5,{})}),append($$anchor4,fragment_19)},consequent_17=$$anchor4=>{var button_1=root_25$4(),text_2=child(button_1,!0);reset(button_1),template_effect($0=>{set_style(button_1,$$props.toast.cancelButtonStyle??cancelButtonStyle()),set_class(button_1,1,$0),set_text(text_2,$$props.toast.cancel.label)},[()=>clsx(cn(get$3(classes)?.cancelButton,$$props.toast?.classes?.cancelButton))]),delegated("click", -button_1,event2=>{isAction($$props.toast.cancel)&&get$3(dismissable)&&($$props.toast.cancel?.onClick?.(event2),deleteToast())}),append($$anchor4,button_1)},d2=user_derived(()=>isAction($$props.toast.cancel));if_block(node_24,$$render=>{typeof $$props.toast.cancel=="function"?$$render(consequent_16):get$3(d2)&&$$render(consequent_17,1)})}append($$anchor3,fragment_18)};if_block(node_23,$$render=>{$$props.toast.cancel&&$$render(consequent_18)})}var node_26=sibling(node_23,2);{var consequent_21=$$anchor3=>{ -var fragment_20=comment$2(),node_27=first_child(fragment_20);{var consequent_19=$$anchor4=>{var fragment_21=comment$2(),node_28=first_child(fragment_21);component(node_28,()=>$$props.toast.action,($$anchor5,toast_action)=>{toast_action($$anchor5,{})}),append($$anchor4,fragment_21)},consequent_20=$$anchor4=>{var button_2=root_28$1(),text_3=child(button_2,!0);reset(button_2),template_effect($0=>{set_style(button_2,$$props.toast.actionButtonStyle??actionButtonStyle()),set_class(button_2,1,$0),set_text( -text_3,$$props.toast.action.label)},[()=>clsx(cn(get$3(classes)?.actionButton,$$props.toast?.classes?.actionButton))]),delegated("click",button_2,event2=>{isAction($$props.toast.action)&&($$props.toast.action?.onClick(event2),!event2.defaultPrevented&&deleteToast())}),append($$anchor4,button_2)},d_12=user_derived(()=>isAction($$props.toast.action));if_block(node_27,$$render=>{typeof $$props.toast.action=="function"?$$render(consequent_19):get$3(d_12)&&$$render(consequent_20,1)})}append($$anchor3, -fragment_20)};if_block(node_26,$$render=>{$$props.toast.action&&$$render(consequent_21)})}template_effect($0=>set_class(div_3,1,$0),[()=>clsx(cn(get$3(classes)?.title,$$props.toast?.classes?.title))]),append($$anchor2,fragment_3)};if_block(node_4,$$render=>{$$props.toast.component?$$render(consequent_2):$$render(alternate_4,-1)})}reset(li2),bind_this(li2,$$value=>set$1(toastRef,$$value),()=>get$3(toastRef)),template_effect(($0,$1,$2)=>{set_class(li2,1,$0),set_attribute(li2,"data-rich-colors",$$props. -toast.richColors??defaultRichColors()),set_attribute(li2,"data-styled",!($$props.toast.component||$$props.toast.unstyled||unstyled())),set_attribute(li2,"data-mounted",get$3(mounted)),set_attribute(li2,"data-promise",$1),set_attribute(li2,"data-swiped",get$3(isSwiped)),set_attribute(li2,"data-removed",get$3(removed)),set_attribute(li2,"data-visible",get$3(isVisible)),set_attribute(li2,"data-y-position",get$3(coords)[0]),set_attribute(li2,"data-x-position",get$3(coords)[1]),set_attribute(li2,"dat\ -a-index",$$props.index),set_attribute(li2,"data-front",get$3(isFront)),set_attribute(li2,"data-swiping",get$3(swiping)),set_attribute(li2,"data-dismissable",get$3(dismissable)),set_attribute(li2,"data-type",get$3(toastType)),set_attribute(li2,"data-invert",get$3(invert)),set_attribute(li2,"data-swipe-out",get$3(swipeOut)),set_attribute(li2,"data-swipe-direction",get$3(swipeOutDirection)),set_attribute(li2,"data-expanded",$2),styles2=set_style(li2,`${$$props.style} ${$$props.toast.style}`,styles2, -{"--index":$$props.index,"--toasts-before":$$props.index,"--z-index":toastState.toasts.length-$$props.index,"--offset":`${get$3(removed)?get$3(offsetBeforeRemove):get$3(offset2)}px`,"--initial-height":$$props.expandByDefault?"auto":`${get$3(initialHeight)}px`})},[()=>clsx(cn($$props.class,get$3(toastClass),get$3(classes)?.toast,$$props.toast?.classes?.toast,get$3(classes)?.[get$3(toastType)],$$props.toast?.classes?.[get$3(toastType)])),()=>!!$$props.toast.promise,()=>!!($$props.expanded||$$props. -expandByDefault&&get$3(mounted))]),delegated("pointermove",li2,handlePointerMove),delegated("pointerup",li2,handlePointerUp),delegated("pointerdown",li2,handlePointerDown),event("dragend",li2,handleDragEnd),append($$anchor,li2),pop()}delegate(["pointermove","pointerup","pointerdown","click"]);var root$1K=from_svg('');function SuccessIcon($$anchor){var svg2=root$1K();append($$anchor,svg2)}var root$1J=from_svg('');function ErrorIcon($$anchor){var svg2=root$1J();append($$anchor,svg2)}var root$1I=from_svg('');function WarningIcon($$anchor){var svg2=root$1I();append($$anchor,svg2)}var root$1H=from_svg('');function InfoIcon($$anchor){var svg2=root$1H();append($$anchor,svg2)}var root$1G=from_svg('');function CloseIcon($$anchor){var svg2=root$1G();append($$anchor,svg2)}const VISIBLE_TOASTS_AMOUNT=3,VIEWPORT_OFFSET="24px",MOBILE_VIEWPORT_OFFSET="16px",TOAST_LIFETIME=4e3,TOAST_WIDTH=356,GAP=14,DARK="dark",LIGHT="light";function getOffsetObject(defaultOffset,mobileOffset){const styles2={};return[defaultOffset,mobileOffset].forEach( -(offset2,index2)=>{const isMobile=index2===1,prefix=isMobile?"--mobile-offset":"--offset",defaultValue=isMobile?MOBILE_VIEWPORT_OFFSET:VIEWPORT_OFFSET;function assignAll(offset3){["top","right","bottom","left"].forEach(key2=>{styles2[`${prefix}-${key2}`]=typeof offset3=="number"?`${offset3}px`:offset3})}typeof offset2=="number"||typeof offset2=="string"?assignAll(offset2):typeof offset2=="object"?["top","right","bottom","left"].forEach(key2=>{const value=offset2[key2];value===void 0?styles2[`${prefix}\ --${key2}`]=defaultValue:styles2[`${prefix}-${key2}`]=typeof value=="number"?`${value}px`:value}):assignAll(defaultValue)}),styles2}var root_2$1f=from_html("
      "),root$1F=from_html('
      ');function Toaster($$anchor,$$props){push$1($$props,!0);function getInitialTheme(t){return t!=="system"?t:typeof window<"u"&&window.matchMedia&&window.matchMedia("(prefers-color-scheme: dark)").matches? -DARK:LIGHT}let invert=prop($$props,"invert",3,!1),position2=prop($$props,"position",3,"bottom-right"),hotkey=prop($$props,"hotkey",19,()=>["altKey","KeyT"]),expand=prop($$props,"expand",3,!1),closeButton=prop($$props,"closeButton",3,!1),offset2=prop($$props,"offset",3,VIEWPORT_OFFSET),mobileOffset=prop($$props,"mobileOffset",3,MOBILE_VIEWPORT_OFFSET),theme=prop($$props,"theme",3,"light"),richColors=prop($$props,"richColors",3,!1),duration2=prop($$props,"duration",3,TOAST_LIFETIME),visibleToasts=prop( -$$props,"visibleToasts",3,VISIBLE_TOASTS_AMOUNT),toastOptions=prop($$props,"toastOptions",19,()=>({})),dir=prop($$props,"dir",7,"auto"),gap=prop($$props,"gap",3,GAP),containerAriaLabel=prop($$props,"containerAriaLabel",3,"Notifications"),closeButtonAriaLabel=prop($$props,"closeButtonAriaLabel",3,"Close toast"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","invert","position","hotkey","expand","closeButton","offset","mobileOffset","theme","richColors","duration","visibleToasts","t\ -oastOptions","dir","gap","loadingIcon","successIcon","errorIcon","warningIcon","closeIcon","infoIcon","containerAriaLabel","class","closeButtonAriaLabel","onblur","onfocus","onmouseenter","onmousemove","onmouseleave","ondragend","onpointerdown","onpointerup"]);function getDocumentDirection(){if(dir()!=="auto")return dir();if(typeof window>"u"||typeof document>"u")return"ltr";const dirAttribute=document.documentElement.getAttribute("dir");return dirAttribute==="auto"||!dirAttribute?(untrack$1(()=>dir( -window.getComputedStyle(document.documentElement).direction??"ltr")),dir()):(untrack$1(()=>dir(dirAttribute)),dirAttribute)}const possiblePositions=user_derived(()=>Array.from(new Set([position2(),...toastState.toasts.filter(toast2=>toast2.position).map(toast2=>toast2.position)].filter(Boolean))));let expanded=state$1(!1),interacting=state$1(!1),actualTheme=state$1(proxy(getInitialTheme(theme()))),listRef=state$1(void 0),lastFocusedElementRef=state$1(null),isFocusWithin=state$1(!1);const hotkeyLabel=user_derived( -()=>hotkey().join("+").replace(/Key/g,"").replace(/Digit/g,""));user_effect(()=>{toastState.toasts.length<=1&&set$1(expanded,!1)}),user_effect(()=>{const toastsToDismiss=toastState.toasts.filter(toast2=>toast2.dismiss&&!toast2.delete);if(toastsToDismiss.length>0){const updatedToasts=toastState.toasts.map(toast2=>toastsToDismiss.find(dismissToast=>dismissToast.id===toast2.id)?{...toast2,delete:!0}:toast2);toastState.toasts=updatedToasts}}),user_effect(()=>()=>{get$3(listRef)&&get$3(lastFocusedElementRef)&& -(get$3(lastFocusedElementRef).focus({preventScroll:!0}),set$1(lastFocusedElementRef,null),set$1(isFocusWithin,!1))}),onMount$1(()=>(toastState.reset(),on(document,"keydown",event2=>{hotkey().every(key2=>event2[key2]||event2.code===key2)&&(set$1(expanded,!0),get$3(listRef)?.focus()),event2.code==="Escape"&&(document.activeElement===get$3(listRef)||get$3(listRef)?.contains(document.activeElement))&&set$1(expanded,!1)}))),user_effect(()=>{if(theme()!=="system"&&set$1(actualTheme,theme()),typeof window< -"u"){theme()==="system"&&(window.matchMedia&&window.matchMedia("(prefers-color-scheme: dark)").matches?set$1(actualTheme,DARK):set$1(actualTheme,LIGHT));const mediaQueryList=window.matchMedia("(prefers-color-scheme: dark)"),changeHandler=({matches:matches2})=>{set$1(actualTheme,matches2?DARK:LIGHT,!0)};"addEventListener"in mediaQueryList?mediaQueryList.addEventListener("change",changeHandler):mediaQueryList.addListener(changeHandler)}});const handleBlur=event2=>{$$props.onblur?.(event2),get$3(isFocusWithin)&& -!event2.currentTarget.contains(event2.relatedTarget)&&(set$1(isFocusWithin,!1),get$3(lastFocusedElementRef)&&(get$3(lastFocusedElementRef).focus({preventScroll:!0}),set$1(lastFocusedElementRef,null)))},handleFocus=event2=>{$$props.onfocus?.(event2),!(event2.target instanceof HTMLElement&&event2.target.dataset.dismissable==="false")&&(get$3(isFocusWithin)||(set$1(isFocusWithin,!0),set$1(lastFocusedElementRef,event2.relatedTarget,!0)))},handlePointerDown=event2=>{$$props.onpointerdown?.(event2),!(event2. -target instanceof HTMLElement&&event2.target.dataset.dismissable==="false")&&set$1(interacting,!0)},handleMouseEnter=event2=>{$$props.onmouseenter?.(event2),set$1(expanded,!0)},handleMouseLeave=event2=>{$$props.onmouseleave?.(event2),get$3(interacting)||set$1(expanded,!1)},handleMouseMove=event2=>{$$props.onmousemove?.(event2),set$1(expanded,!0)},handleDragEnd=event2=>{$$props.ondragend?.(event2),set$1(expanded,!1)},handlePointerUp=event2=>{$$props.onpointerup?.(event2),set$1(interacting,!1)};sonnerContext. -set(new SonnerState);var section2=root$1F();set_attribute(section2,"tabindex",-1);var node2=child(section2);{var consequent_10=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);each(node_1,18,()=>get$3(possiblePositions),position3=>position3,($$anchor3,position3,index2,$$array)=>{const computed_const=user_derived(()=>{const[y,x]=position3.split("-");return{y,x}}),offsetObject=user_derived(()=>getOffsetObject(offset2(),mobileOffset()));var ol=root_2$1f();attribute_effect(ol,$0=>({ -tabindex:-1,dir:$0,class:$$props.class,"data-sonner-toaster":!0,"data-sonner-theme":get$3(actualTheme),"data-y-position":get$3(computed_const).y,"data-x-position":get$3(computed_const).x,style:$$props.style,onblur:handleBlur,onfocus:handleFocus,onmouseenter:handleMouseEnter,onmousemove:handleMouseMove,onmouseleave:handleMouseLeave,ondragend:handleDragEnd,onpointerdown:handlePointerDown,onpointerup:handlePointerUp,...restProps,[STYLE]:{"--front-toast-height":`${toastState.heights[0]?.height}px`,"\ ---width":`${TOAST_WIDTH}px`,"--gap":`${gap()}px`,"--offset-top":get$3(offsetObject)["--offset-top"],"--offset-right":get$3(offsetObject)["--offset-right"],"--offset-bottom":get$3(offsetObject)["--offset-bottom"],"--offset-left":get$3(offsetObject)["--offset-left"],"--mobile-offset-top":get$3(offsetObject)["--mobile-offset-top"],"--mobile-offset-right":get$3(offsetObject)["--mobile-offset-right"],"--mobile-offset-bottom":get$3(offsetObject)["--mobile-offset-bottom"],"--mobile-offset-left":get$3(offsetObject)["\ ---mobile-offset-left"]}}),[()=>getDocumentDirection()],void 0,void 0,"svelte-nbs0zk"),each(ol,23,()=>toastState.toasts.filter(toast2=>!toast2.position&&get$3(index2)===0||toast2.position===position3),toast2=>toast2.id,($$anchor4,toast2,index3,$$array_1)=>{{const successIcon=$$anchor5=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);snippet(node_3,()=>$$props.successIcon??noop$3),append($$anchor6,fragment_3)}, -consequent_1=$$anchor6=>{SuccessIcon($$anchor6)};if_block(node_2,$$render=>{$$props.successIcon?$$render(consequent):$$props.successIcon!==null&&$$render(consequent_1,1)})}append($$anchor5,fragment_2)},errorIcon=$$anchor5=>{var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor6=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);snippet(node_5,()=>$$props.errorIcon??noop$3),append($$anchor6,fragment_6)},consequent_3=$$anchor6=>{ErrorIcon($$anchor6)};if_block( -node_4,$$render=>{$$props.errorIcon?$$render(consequent_2):$$props.errorIcon!==null&&$$render(consequent_3,1)})}append($$anchor5,fragment_5)},warningIcon=$$anchor5=>{var fragment_8=comment$2(),node_6=first_child(fragment_8);{var consequent_4=$$anchor6=>{var fragment_9=comment$2(),node_7=first_child(fragment_9);snippet(node_7,()=>$$props.warningIcon??noop$3),append($$anchor6,fragment_9)},consequent_5=$$anchor6=>{WarningIcon($$anchor6)};if_block(node_6,$$render=>{$$props.warningIcon?$$render(consequent_4): -$$props.warningIcon!==null&&$$render(consequent_5,1)})}append($$anchor5,fragment_8)},infoIcon=$$anchor5=>{var fragment_11=comment$2(),node_8=first_child(fragment_11);{var consequent_6=$$anchor6=>{var fragment_12=comment$2(),node_9=first_child(fragment_12);snippet(node_9,()=>$$props.infoIcon??noop$3),append($$anchor6,fragment_12)},consequent_7=$$anchor6=>{InfoIcon($$anchor6)};if_block(node_8,$$render=>{$$props.infoIcon?$$render(consequent_6):$$props.infoIcon!==null&&$$render(consequent_7,1)})}append( -$$anchor5,fragment_11)},closeIcon=$$anchor5=>{var fragment_14=comment$2(),node_10=first_child(fragment_14);{var consequent_8=$$anchor6=>{var fragment_15=comment$2(),node_11=first_child(fragment_15);snippet(node_11,()=>$$props.closeIcon??noop$3),append($$anchor6,fragment_15)},consequent_9=$$anchor6=>{CloseIcon($$anchor6)};if_block(node_10,$$render=>{$$props.closeIcon?$$render(consequent_8):$$props.closeIcon!==null&&$$render(consequent_9,1)})}append($$anchor5,fragment_14)};let $0=user_derived(()=>toastOptions()?. -duration??duration2()),$1=user_derived(()=>toastOptions()?.class??""),$2=user_derived(()=>toastOptions()?.descriptionClass||""),$3=user_derived(()=>toastOptions()?.style??""),$4=user_derived(()=>toastOptions().classes||{}),$5=user_derived(()=>toastOptions().unstyled??!1),$6=user_derived(()=>toastOptions()?.cancelButtonStyle??""),$7=user_derived(()=>toastOptions()?.actionButtonStyle??""),$8=user_derived(()=>toastOptions()?.closeButtonAriaLabel??closeButtonAriaLabel());Toast($$anchor4,{get index(){ -return get$3(index3)},get toast(){return get$3(toast2)},get defaultRichColors(){return richColors()},get duration(){return get$3($0)},get class(){return get$3($1)},get descriptionClass(){return get$3($2)},get invert(){return invert()},get visibleToasts(){return visibleToasts()},get closeButton(){return closeButton()},get interacting(){return get$3(interacting)},get position(){return position3},get style(){return get$3($3)},get classes(){return get$3($4)},get unstyled(){return get$3($5)},get cancelButtonStyle(){ -return get$3($6)},get actionButtonStyle(){return get$3($7)},get closeButtonAriaLabel(){return get$3($8)},get expandByDefault(){return expand()},get expanded(){return get$3(expanded)},get loadingIcon(){return $$props.loadingIcon},successIcon,errorIcon,warningIcon,infoIcon,closeIcon,$$slots:{successIcon:!0,errorIcon:!0,warningIcon:!0,infoIcon:!0,closeIcon:!0}})}}),reset(ol),bind_this(ol,$$value=>set$1(listRef,$$value),()=>get$3(listRef)),template_effect(()=>ol.dir=ol.dir),append($$anchor3,ol)}),append( -$$anchor2,fragment)};if_block(node2,$$render=>{toastState.toasts.length>0&&$$render(consequent_10)})}reset(section2),template_effect(()=>set_attribute(section2,"aria-label",`${containerAriaLabel()??""} ${get$3(hotkeyLabel)??""}`)),append($$anchor,section2),pop()}async function copyToClipboard(text2,successMessage="Copied to clipboard",errorMessage="Failed to copy to clipboard"){try{if(navigator.clipboard&&navigator.clipboard.writeText)return await navigator.clipboard.writeText(text2),toast.success( -successMessage),!0;const textArea=document.createElement("textarea");textArea.value=text2,textArea.style.position="fixed",textArea.style.left="-999999px",textArea.style.top="-999999px",document.body.appendChild(textArea),textArea.focus(),textArea.select();const successful=document.execCommand("copy");if(document.body.removeChild(textArea),successful)return toast.success(successMessage),!0;throw new Error("execCommand failed")}catch(error2){return console.error("Failed to copy to clipboard:",error2), -toast.error(errorMessage),!1}}async function copyCodeToClipboard(rawCode,successMessage="Code copied to clipboard",errorMessage="Failed to copy code"){return copyToClipboard(rawCode,successMessage,errorMessage)}function formatMessageForClipboard(content2,extras,asPlainText=!1){const textAttachments=extras?.filter(extra=>extra.type===AttachmentType.TEXT||extra.type===AttachmentType.LEGACY_CONTEXT||extra.type===AttachmentType.MCP_PROMPT||extra.type===AttachmentType.MCP_RESOURCE)??[];if(textAttachments. -length===0)return content2;if(asPlainText){const parts=[content2];for(const att of textAttachments)parts.push(att.content);return parts.join(` +const proxiedHeaders={};for(const[key2,value]of Object.entries(headers))proxiedHeaders[`x-proxy-header-${key2}`]=value;return proxiedHeaders}function isIpAddress(hostname){return!!(hostname.includes(":")||/^\d{1,3}(\.\d{1,3}){3}$/.test(hostname))}function extractRootDomain(url2){const hostname=url2.hostname.toLowerCase();if(!hostname||isIpAddress(hostname))return null;const parts=hostname.split(".");if(parts.length<2)return null;if(parts.length>=3){const suffix2=`${parts[parts.length-2]}.${parts[parts. +length-1]}`;if(TWO_PART_PUBLIC_SUFFIXES.has(suffix2))return parts.slice(-3).join(".")}for(let i=2;i<=parts.length;i++){const candidate=parts.slice(-i).join(".");if(WILDCARD_PUBLIC_SUFFIXES.has(candidate))return parts.length===i+1?hostname:parts.slice(-(i+2)).join(".")}return parts.slice(-2).join(".")}function sanitizeExternalUrl(raw2){try{const url2=new URL(raw2);return url2.protocol!==UrlProtocol.HTTP&&url2.protocol!==UrlProtocol.HTTPS?null:url2.href}catch{return null}}function createMessageCountMap(exportedData){ +const countMap=new Map;for(const item of exportedData)countMap.set(item.conv.id,item.messages.length);return countMap}const bars=Array(12).fill(0);var root_1$16=from_html('
      '),root$1T=from_html('
      ');function Loader($$anchor,$$props){push$1($$props,!0);var div=root$1T(),div_1=child(div);each(div_1,23,()=>bars,(_,i)=>`spinner-bar-${i}`,($$anchor2,_)=>{var div_2=root_1$16();append($$anchor2,div_2)}),reset(div_1),reset( +div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"data-visible",$$props.visible)},[()=>clsx(["sonner-loading-wrapper",$$props.class].filter(Boolean).join(" "))]),append($$anchor,div),pop()}function cn(...classes){return classes.filter(Boolean).join(" ")}const isBrowser=typeof document<"u",defaultWindow=typeof window<"u"?window:void 0;function getActiveElement(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot. +activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}class ActiveElement4{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(), +this.#document?getActiveElement(this.#document):null}}new ActiveElement4;class Context2{#name;#key;constructor(name){this.#name=name,this.#key=Symbol(name)}get key(){return this.#key}exists(){return hasContext(this.#key)}get(){const context=getContext(this.#key);if(context===void 0)throw new Error(`Context "${this.#name}" not found`);return context}getOr(fallback2){const context=getContext(this.#key);return context===void 0?fallback2:context}set(context){return setContext(this.#key,context)}}const sonnerContext=new Context2( +"");let toastsCounter=0;class ToastState{#toasts=state$1(proxy([]));get toasts(){return get$3(this.#toasts)}set toasts(value){set$1(this.#toasts,value,!0)}#heights=state$1(proxy([]));get heights(){return get$3(this.#heights)}set heights(value){set$1(this.#heights,value,!0)}#findToastIdx=id2=>{const idx=this.toasts.findIndex(toast2=>toast2.id===id2);return idx===-1?null:idx};addToast=data=>{isBrowser&&this.toasts.unshift(data)};updateToast=({id:id2,data,type:type2,message})=>{const toastIdx=this. +toasts.findIndex(toast2=>toast2.id===id2),toastToUpdate=this.toasts[toastIdx];this.toasts[toastIdx]={...toastToUpdate,...data,id:id2,title:message,type:type2,updated:!0}};create=data=>{const{message,...rest}=data,id2=typeof data?.id=="number"||data.id&&data.id?.length>0?data.id:toastsCounter++,dismissable=data.dismissable===void 0?!0:data.dismissable,type2=data.type===void 0?"default":data.type;return untrack$1(()=>{this.toasts.find(toast2=>toast2.id===id2)?this.updateToast({id:id2,data,type:type2, +message,dismissable}):this.addToast({...rest,id:id2,title:message,dismissable,type:type2})}),id2};dismiss=id2=>(untrack$1(()=>{if(id2===void 0){this.toasts=this.toasts.map(toast2=>({...toast2,dismiss:!0}));return}const toastIdx=this.toasts.findIndex(toast2=>toast2.id===id2);this.toasts[toastIdx]&&(this.toasts[toastIdx]={...this.toasts[toastIdx],dismiss:!0})}),id2);remove=id2=>{if(id2===void 0){this.toasts=[];return}const toastIdx=this.#findToastIdx(id2);if(toastIdx!==null)return this.toasts.splice( +toastIdx,1),id2};message=(message,data)=>this.create({...data,type:"default",message});error=(message,data)=>this.create({...data,type:"error",message});success=(message,data)=>this.create({...data,type:"success",message});info=(message,data)=>this.create({...data,type:"info",message});warning=(message,data)=>this.create({...data,type:"warning",message});loading=(message,data)=>this.create({...data,type:"loading",message});promise=(promise,data)=>{if(!data)return;let id2;data.loading!==void 0&&(id2= +this.create({...data,promise,type:"loading",message:typeof data.loading=="string"?data.loading:data.loading()}));const p2=promise instanceof Promise?promise:promise();let shouldDismiss=id2!==void 0;return p2.then(response=>{if(typeof response=="object"&&response&&"ok"in response&&typeof response.ok=="boolean"&&!response.ok){shouldDismiss=!1;const message=constructPromiseErrorMessage(response);this.create({id:id2,type:"error",message})}else if(data.success!==void 0){shouldDismiss=!1;const message=typeof data. +success=="function"?data.success(response):data.success;this.create({id:id2,type:"success",message})}}).catch(error2=>{if(data.error!==void 0){shouldDismiss=!1;const message=typeof data.error=="function"?data.error(error2):data.error;this.create({id:id2,type:"error",message})}}).finally(()=>{shouldDismiss&&(this.dismiss(id2),id2=void 0),data.finally?.()}),id2};custom=(component2,data)=>{const id2=data?.id||toastsCounter++;return this.create({component:component2,id:id2,...data}),id2};removeHeight=id2=>{ +this.heights=this.heights.filter(height=>height.toastId!==id2)};setHeight=data=>{const toastIdx=this.#findToastIdx(data.toastId);if(toastIdx===null){this.heights.push(data);return}this.heights[toastIdx]=data};reset=()=>{this.toasts=[],this.heights=[]}}function constructPromiseErrorMessage(response){return response&&typeof response=="object"&&"status"in response?`HTTP error! Status: ${response.status}`:`Error! ${response}`}const toastState=new ToastState;function toastFunction(message,data){return toastState. +create({message,...data})}class SonnerState{#activeToasts=user_derived(()=>toastState.toasts.filter(toast2=>!toast2.dismiss));get toasts(){return get$3(this.#activeToasts)}}const basicToast=toastFunction,toast=Object.assign(basicToast,{success:toastState.success,info:toastState.info,warning:toastState.warning,error:toastState.error,custom:toastState.custom,message:toastState.message,promise:toastState.promise,dismiss:toastState.dismiss,loading:toastState.loading,getActiveToasts:()=>toastState.toasts. +filter(toast2=>!toast2.dismiss)});function isAction(action2){return action2.label!==void 0}function useDocumentHidden(){let current2=state$1(proxy(typeof document<"u"?document.hidden:!1));return user_effect(()=>on(document,"visibilitychange",()=>{set$1(current2,document.hidden,!0)})),{get current(){return get$3(current2)}}}const TOAST_LIFETIME$1=4e3,GAP$1=14,SWIPE_THRESHOLD=45,TIME_BEFORE_UNMOUNT=200,SCALE_MULTIPLIER=.05,DEFAULT_TOAST_CLASSES={toast:"",title:"",description:"",loader:"",closeButton:"", +cancelButton:"",actionButton:"",action:"",warning:"",error:"",success:"",default:"",info:"",loading:""};function getDefaultSwipeDirections(position2){const[y,x]=position2.split("-"),directions=[];return y&&directions.push(y),x&&directions.push(x),directions}function getDampening(delta){return 1/(1.5+Math.abs(delta)/20)}var root_2$1e=from_html("
      "),root_4$G=from_html(''),root_7$v=from_html('
      '),root_20$6=from_html( +'
      '),root_25$3=from_html(''),root_28$1=from_html(''),root_6$w=from_html('
      ',1),root$1S=from_html('
      2. ');function Toast($$anchor,$$props){push$1($$props,!0);const LoadingIcon=$$anchor2=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$1e(), +node_1=child(div);snippet(node_1,()=>$$props.loadingIcon),reset(div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"data-visible",get$3(toastType)==="loading")},[()=>clsx(cn(get$3(classes)?.loader,$$props.toast?.classes?.loader,"sonner-loader"))]),append($$anchor3,div)},alternate=$$anchor3=>{{let $0=user_derived(()=>cn(get$3(classes)?.loader,$$props.toast.classes?.loader)),$1=user_derived(()=>get$3(toastType)==="loading");Loader($$anchor3,{get class(){return get$3($0)},get visible(){ +return get$3($1)}})}};if_block(node2,$$render=>{$$props.loadingIcon?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment)};let cancelButtonStyle=prop($$props,"cancelButtonStyle",3,""),actionButtonStyle=prop($$props,"actionButtonStyle",3,""),descriptionClass=prop($$props,"descriptionClass",3,""),unstyled=prop($$props,"unstyled",3,!1),defaultRichColors=prop($$props,"defaultRichColors",3,!1);const defaultClasses={...DEFAULT_TOAST_CLASSES};let mounted=state$1(!1),removed=state$1(!1), +swiping=state$1(!1),swipeOut=state$1(!1),isSwiped=state$1(!1),offsetBeforeRemove=state$1(0),initialHeight=state$1(0),remainingTime=$$props.toast.duration||$$props.duration||TOAST_LIFETIME$1,toastRef=state$1(void 0),swipeDirection=state$1(null),swipeOutDirection=state$1(null);const isFront=user_derived(()=>$$props.index===0),isVisible=user_derived(()=>$$props.index+1<=$$props.visibleToasts),toastType=user_derived(()=>$$props.toast.type),dismissable=user_derived(()=>$$props.toast.dismissable!==!1), +toastClass=user_derived(()=>$$props.toast.class||""),toastDescriptionClass=user_derived(()=>$$props.toast.descriptionClass||""),heightIndex=user_derived(()=>toastState.heights.findIndex(height=>height.toastId===$$props.toast.id)||0),closeButton=user_derived(()=>$$props.toast.closeButton??$$props.closeButton),duration2=user_derived(()=>$$props.toast.duration??$$props.duration??TOAST_LIFETIME$1);let pointerStart=null;const coords=user_derived(()=>$$props.position.split("-")),toastsHeightBefore=user_derived( +()=>toastState.heights.reduce((prev2,curr,reducerIndex)=>reducerIndex>=get$3(heightIndex)?prev2:prev2+curr.height,0)),isDocumentHidden=useDocumentHidden(),invert=user_derived(()=>$$props.toast.invert||$$props.invert),disabled=user_derived(()=>get$3(toastType)==="loading"),classes=user_derived(()=>({...defaultClasses,...$$props.classes})),toastTitle=user_derived(()=>$$props.toast.title),toastDescription=user_derived(()=>$$props.toast.description);let closeTimerStartTime=state$1(0),lastCloseTimerStartTime=state$1( +0);const offset2=user_derived(()=>Math.round(get$3(heightIndex)*GAP$1+get$3(toastsHeightBefore)));user_effect(()=>{get$3(toastTitle),get$3(toastDescription);let scale2;$$props.expanded||$$props.expandByDefault?scale2=1:scale2=1-$$props.index*SCALE_MULTIPLIER;const toastEl=untrack$1(()=>get$3(toastRef));if(toastEl===void 0)return;toastEl.style.setProperty("height","auto");const offsetHeight=toastEl.offsetHeight,rectHeight=toastEl.getBoundingClientRect().height,scaledRectHeight=Math.round(rectHeight/ +scale2+Number.EPSILON&100)/100;toastEl.style.removeProperty("height");let finalHeight;Math.abs(scaledRectHeight-offsetHeight)<1?finalHeight=scaledRectHeight:finalHeight=offsetHeight,set$1(initialHeight,finalHeight,!0),untrack$1(()=>{toastState.setHeight({toastId:$$props.toast.id,height:finalHeight})})});function deleteToast(){set$1(removed,!0),set$1(offsetBeforeRemove,get$3(offset2),!0),toastState.removeHeight($$props.toast.id),setTimeout(()=>{toastState.remove($$props.toast.id)},TIME_BEFORE_UNMOUNT)} +let timeoutId;const isPromiseLoadingOrInfiniteDuration=user_derived(()=>$$props.toast.promise&&get$3(toastType)==="loading"||$$props.toast.duration===Number.POSITIVE_INFINITY);function startTimer(){set$1(closeTimerStartTime,new Date().getTime(),!0),timeoutId=setTimeout(()=>{$$props.toast.onAutoClose?.($$props.toast),deleteToast()},remainingTime)}function pauseTimer(){if(get$3(lastCloseTimerStartTime){$$props.toast.updated&&(clearTimeout(timeoutId),remainingTime=get$3(duration2),startTimer())}),user_effect(()=>(get$3(isPromiseLoadingOrInfiniteDuration)||($$props.expanded||$$props.interacting||isDocumentHidden.current?pauseTimer():startTimer()),()=>clearTimeout(timeoutId))),onMount$1(()=>{set$1(mounted,!0);const height=get$3(toastRef)?.getBoundingClientRect().height;return set$1(initialHeight,height, +!0),toastState.setHeight({toastId:$$props.toast.id,height}),()=>{toastState.removeHeight($$props.toast.id)}}),user_effect(()=>{$$props.toast.delete&&untrack$1(()=>{deleteToast(),$$props.toast.onDismiss?.($$props.toast)})});const handlePointerDown=event2=>{if(get$3(disabled))return;set$1(offsetBeforeRemove,get$3(offset2),!0);const target2=event2.target;target2.setPointerCapture(event2.pointerId),target2.tagName!=="BUTTON"&&(set$1(swiping,!0),pointerStart={x:event2.clientX,y:event2.clientY})},handlePointerUp=()=>{ +if(get$3(swipeOut)||!get$3(dismissable))return;pointerStart=null;const swipeAmountX=Number(get$3(toastRef)?.style.getPropertyValue("--swipe-amount-x").replace("px","")||0),swipeAmountY=Number(get$3(toastRef)?.style.getPropertyValue("--swipe-amount-y").replace("px","")||0),timeTaken=new Date().getTime()-0,swipeAmount=get$3(swipeDirection)==="x"?swipeAmountX:swipeAmountY,velocity=Math.abs(swipeAmount)/timeTaken;if(Math.abs(swipeAmount)>=SWIPE_THRESHOLD||velocity>.11){set$1(offsetBeforeRemove,get$3( +offset2),!0),$$props.toast.onDismiss?.($$props.toast),get$3(swipeDirection)==="x"?set$1(swipeOutDirection,swipeAmountX>0?"right":"left",!0):set$1(swipeOutDirection,swipeAmountY>0?"down":"up",!0),deleteToast(),set$1(swipeOut,!0);return}else get$3(toastRef)?.style.setProperty("--swipe-amount-x","0px"),get$3(toastRef)?.style.setProperty("--swipe-amount-y","0px");set$1(isSwiped,!1),set$1(swiping,!1),set$1(swipeDirection,null)},handlePointerMove=event2=>{if(!pointerStart||!get$3(dismissable)||(window. +getSelection()?.toString().length??-1)>0)return;const yDelta=event2.clientY-pointerStart.y,xDelta=event2.clientX-pointerStart.x,swipeDirections=$$props.swipeDirections??getDefaultSwipeDirections($$props.position);!get$3(swipeDirection)&&(Math.abs(xDelta)>1||Math.abs(yDelta)>1)&&set$1(swipeDirection,Math.abs(xDelta)>Math.abs(yDelta)?"x":"y",!0);let swipeAmount={x:0,y:0};if(get$3(swipeDirection)==="y"){if(swipeDirections.includes("top")||swipeDirections.includes("bottom"))if(swipeDirections.includes( +"top")&&yDelta<0||swipeDirections.includes("bottom")&&yDelta>0)swipeAmount.y=yDelta;else{const dampenedDelta=yDelta*getDampening(yDelta);swipeAmount.y=Math.abs(dampenedDelta)0)swipeAmount.x=xDelta;else{const dampenedDelta=xDelta*getDampening(xDelta);swipeAmount.x= +Math.abs(dampenedDelta)0||Math.abs(swipeAmount.y)>0)&&set$1(isSwiped,!0),get$3(toastRef)?.style.setProperty("--swipe-amount-x",`${swipeAmount.x}px`),get$3(toastRef)?.style.setProperty("--swipe-amount-y",`${swipeAmount.y}px`)},handleDragEnd=()=>{set$1(swiping,!1),set$1(swipeDirection,null),pointerStart=null},icon=user_derived(()=>$$props.toast.icon?$$props.toast.icon:get$3(toastType)==="success"?$$props.successIcon:get$3(toastType)=== +"error"?$$props.errorIcon:get$3(toastType)==="warning"?$$props.warningIcon:get$3(toastType)==="info"?$$props.infoIcon:get$3(toastType)==="loading"?$$props.loadingIcon:null);var li2=root$1S();set_attribute(li2,"tabindex",0);let styles2;var node_2=child(li2);{var consequent_1=$$anchor2=>{var button=root_4$G(),node_3=child(button);snippet(node_3,()=>$$props.closeIcon??noop$3),reset(button),template_effect($0=>{set_attribute(button,"aria-label",$$props.closeButtonAriaLabel),set_attribute(button,"dat\ +a-disabled",get$3(disabled)),set_class(button,1,$0)},[()=>clsx(cn(get$3(classes)?.closeButton,$$props.toast?.classes?.closeButton))]),delegated("click",button,()=>{get$3(disabled)||!get$3(dismissable)||(deleteToast(),$$props.toast.onDismiss?.($$props.toast))}),append($$anchor2,button)};if_block(node_2,$$render=>{get$3(closeButton)&&!$$props.toast.component&&get$3(toastType)!=="loading"&&$$props.closeIcon!==null&&$$render(consequent_1)})}var node_4=sibling(node_2,2);{var consequent_2=$$anchor2=>{ +const Component=user_derived(()=>$$props.toast.component);var fragment_2=comment$2(),node_5=first_child(fragment_2);component(node_5,()=>get$3(Component),($$anchor3,Component_1)=>{Component_1($$anchor3,spread_props(()=>$$props.toast.componentProps,{closeToast:deleteToast}))}),append($$anchor2,fragment_2)},alternate_4=$$anchor2=>{var fragment_3=root_6$w(),node_6=first_child(fragment_3);{var consequent_11=$$anchor3=>{var div_1=root_7$v(),node_7=child(div_1);{var consequent_4=$$anchor4=>{var fragment_4=comment$2(), +node_8=first_child(fragment_4);{var consequent_3=$$anchor5=>{var fragment_5=comment$2(),node_9=first_child(fragment_5);component(node_9,()=>$$props.toast.icon,($$anchor6,toast_icon)=>{toast_icon($$anchor6,{})}),append($$anchor5,fragment_5)},alternate_1=$$anchor5=>{LoadingIcon($$anchor5)};if_block(node_8,$$render=>{$$props.toast.icon?$$render(consequent_3):$$render(alternate_1,-1)})}append($$anchor4,fragment_4)};if_block(node_7,$$render=>{($$props.toast.promise||get$3(toastType)==="loading")&&$$render( +consequent_4)})}var node_10=sibling(node_7,2);{var consequent_10=$$anchor4=>{var fragment_7=comment$2(),node_11=first_child(fragment_7);{var consequent_5=$$anchor5=>{var fragment_8=comment$2(),node_12=first_child(fragment_8);component(node_12,()=>$$props.toast.icon,($$anchor6,toast_icon_1)=>{toast_icon_1($$anchor6,{})}),append($$anchor5,fragment_8)},consequent_6=$$anchor5=>{var fragment_9=comment$2(),node_13=first_child(fragment_9);snippet(node_13,()=>$$props.successIcon??noop$3),append($$anchor5, +fragment_9)},consequent_7=$$anchor5=>{var fragment_10=comment$2(),node_14=first_child(fragment_10);snippet(node_14,()=>$$props.errorIcon??noop$3),append($$anchor5,fragment_10)},consequent_8=$$anchor5=>{var fragment_11=comment$2(),node_15=first_child(fragment_11);snippet(node_15,()=>$$props.warningIcon??noop$3),append($$anchor5,fragment_11)},consequent_9=$$anchor5=>{var fragment_12=comment$2(),node_16=first_child(fragment_12);snippet(node_16,()=>$$props.infoIcon??noop$3),append($$anchor5,fragment_12)}; +if_block(node_11,$$render=>{$$props.toast.icon?$$render(consequent_5):get$3(toastType)==="success"?$$render(consequent_6,1):get$3(toastType)==="error"?$$render(consequent_7,2):get$3(toastType)==="warning"?$$render(consequent_8,3):get$3(toastType)==="info"&&$$render(consequent_9,4)})}append($$anchor4,fragment_7)};if_block(node_10,$$render=>{$$props.toast.type!=="loading"&&$$render(consequent_10)})}reset(div_1),template_effect($0=>set_class(div_1,1,$0),[()=>clsx(cn(get$3(classes)?.icon,$$props.toast?. +classes?.icon))]),append($$anchor3,div_1)};if_block(node_6,$$render=>{(get$3(toastType)||$$props.toast.icon||$$props.toast.promise)&&$$props.toast.icon!==null&&(get$3(icon)!==null||$$props.toast.icon)&&$$render(consequent_11)})}var div_2=sibling(node_6,2),div_3=child(div_2),node_17=child(div_3);{var consequent_13=$$anchor3=>{var fragment_13=comment$2(),node_18=first_child(fragment_13);{var consequent_12=$$anchor4=>{const Title=user_derived(()=>$$props.toast.title);var fragment_14=comment$2(),node_19=first_child( +fragment_14);component(node_19,()=>get$3(Title),($$anchor5,Title_1)=>{Title_1($$anchor5,spread_props(()=>$$props.toast.componentProps))}),append($$anchor4,fragment_14)},alternate_2=$$anchor4=>{var text2=text$8();template_effect(()=>set_text(text2,$$props.toast.title)),append($$anchor4,text2)};if_block(node_18,$$render=>{typeof $$props.toast.title!="string"?$$render(consequent_12):$$render(alternate_2,-1)})}append($$anchor3,fragment_13)};if_block(node_17,$$render=>{$$props.toast.title&&$$render(consequent_13)})} +reset(div_3);var node_20=sibling(div_3,2);{var consequent_15=$$anchor3=>{var div_4=root_20$6(),node_21=child(div_4);{var consequent_14=$$anchor4=>{const Description=user_derived(()=>$$props.toast.description);var fragment_16=comment$2(),node_22=first_child(fragment_16);component(node_22,()=>get$3(Description),($$anchor5,Description_1)=>{Description_1($$anchor5,spread_props(()=>$$props.toast.componentProps))}),append($$anchor4,fragment_16)},alternate_3=$$anchor4=>{var text_1=text$8();template_effect( +()=>set_text(text_1,$$props.toast.description)),append($$anchor4,text_1)};if_block(node_21,$$render=>{typeof $$props.toast.description!="string"?$$render(consequent_14):$$render(alternate_3,-1)})}reset(div_4),template_effect($0=>set_class(div_4,1,$0),[()=>clsx(cn(descriptionClass(),get$3(toastDescriptionClass),get$3(classes)?.description,$$props.toast.classes?.description))]),append($$anchor3,div_4)};if_block(node_20,$$render=>{$$props.toast.description&&$$render(consequent_15)})}reset(div_2);var node_23=sibling( +div_2,2);{var consequent_18=$$anchor3=>{var fragment_18=comment$2(),node_24=first_child(fragment_18);{var consequent_16=$$anchor4=>{var fragment_19=comment$2(),node_25=first_child(fragment_19);component(node_25,()=>$$props.toast.cancel,($$anchor5,toast_cancel)=>{toast_cancel($$anchor5,{})}),append($$anchor4,fragment_19)},consequent_17=$$anchor4=>{var button_1=root_25$3(),text_2=child(button_1,!0);reset(button_1),template_effect($0=>{set_style(button_1,$$props.toast.cancelButtonStyle??cancelButtonStyle()), +set_class(button_1,1,$0),set_text(text_2,$$props.toast.cancel.label)},[()=>clsx(cn(get$3(classes)?.cancelButton,$$props.toast?.classes?.cancelButton))]),delegated("click",button_1,event2=>{isAction($$props.toast.cancel)&&get$3(dismissable)&&($$props.toast.cancel?.onClick?.(event2),deleteToast())}),append($$anchor4,button_1)},d2=user_derived(()=>isAction($$props.toast.cancel));if_block(node_24,$$render=>{typeof $$props.toast.cancel=="function"?$$render(consequent_16):get$3(d2)&&$$render(consequent_17, +1)})}append($$anchor3,fragment_18)};if_block(node_23,$$render=>{$$props.toast.cancel&&$$render(consequent_18)})}var node_26=sibling(node_23,2);{var consequent_21=$$anchor3=>{var fragment_20=comment$2(),node_27=first_child(fragment_20);{var consequent_19=$$anchor4=>{var fragment_21=comment$2(),node_28=first_child(fragment_21);component(node_28,()=>$$props.toast.action,($$anchor5,toast_action)=>{toast_action($$anchor5,{})}),append($$anchor4,fragment_21)},consequent_20=$$anchor4=>{var button_2=root_28$1(), +text_3=child(button_2,!0);reset(button_2),template_effect($0=>{set_style(button_2,$$props.toast.actionButtonStyle??actionButtonStyle()),set_class(button_2,1,$0),set_text(text_3,$$props.toast.action.label)},[()=>clsx(cn(get$3(classes)?.actionButton,$$props.toast?.classes?.actionButton))]),delegated("click",button_2,event2=>{isAction($$props.toast.action)&&($$props.toast.action?.onClick(event2),!event2.defaultPrevented&&deleteToast())}),append($$anchor4,button_2)},d_12=user_derived(()=>isAction($$props. +toast.action));if_block(node_27,$$render=>{typeof $$props.toast.action=="function"?$$render(consequent_19):get$3(d_12)&&$$render(consequent_20,1)})}append($$anchor3,fragment_20)};if_block(node_26,$$render=>{$$props.toast.action&&$$render(consequent_21)})}template_effect($0=>set_class(div_3,1,$0),[()=>clsx(cn(get$3(classes)?.title,$$props.toast?.classes?.title))]),append($$anchor2,fragment_3)};if_block(node_4,$$render=>{$$props.toast.component?$$render(consequent_2):$$render(alternate_4,-1)})}reset( +li2),bind_this(li2,$$value=>set$1(toastRef,$$value),()=>get$3(toastRef)),template_effect(($0,$1,$2)=>{set_class(li2,1,$0),set_attribute(li2,"data-rich-colors",$$props.toast.richColors??defaultRichColors()),set_attribute(li2,"data-styled",!($$props.toast.component||$$props.toast.unstyled||unstyled())),set_attribute(li2,"data-mounted",get$3(mounted)),set_attribute(li2,"data-promise",$1),set_attribute(li2,"data-swiped",get$3(isSwiped)),set_attribute(li2,"data-removed",get$3(removed)),set_attribute( +li2,"data-visible",get$3(isVisible)),set_attribute(li2,"data-y-position",get$3(coords)[0]),set_attribute(li2,"data-x-position",get$3(coords)[1]),set_attribute(li2,"data-index",$$props.index),set_attribute(li2,"data-front",get$3(isFront)),set_attribute(li2,"data-swiping",get$3(swiping)),set_attribute(li2,"data-dismissable",get$3(dismissable)),set_attribute(li2,"data-type",get$3(toastType)),set_attribute(li2,"data-invert",get$3(invert)),set_attribute(li2,"data-swipe-out",get$3(swipeOut)),set_attribute( +li2,"data-swipe-direction",get$3(swipeOutDirection)),set_attribute(li2,"data-expanded",$2),styles2=set_style(li2,`${$$props.style} ${$$props.toast.style}`,styles2,{"--index":$$props.index,"--toasts-before":$$props.index,"--z-index":toastState.toasts.length-$$props.index,"--offset":`${get$3(removed)?get$3(offsetBeforeRemove):get$3(offset2)}px`,"--initial-height":$$props.expandByDefault?"auto":`${get$3(initialHeight)}px`})},[()=>clsx(cn($$props.class,get$3(toastClass),get$3(classes)?.toast,$$props. +toast?.classes?.toast,get$3(classes)?.[get$3(toastType)],$$props.toast?.classes?.[get$3(toastType)])),()=>!!$$props.toast.promise,()=>!!($$props.expanded||$$props.expandByDefault&&get$3(mounted))]),delegated("pointermove",li2,handlePointerMove),delegated("pointerup",li2,handlePointerUp),delegated("pointerdown",li2,handlePointerDown),event("dragend",li2,handleDragEnd),append($$anchor,li2),pop()}delegate(["pointermove","pointerup","pointerdown","click"]);var root$1R=from_svg('');function SuccessIcon($$anchor){var svg2=root$1R();append($$anchor,svg2)}var root$1Q=from_svg('');function ErrorIcon($$anchor){var svg2=root$1Q();append($$anchor,svg2)}var root$1P=from_svg('');function WarningIcon($$anchor){var svg2=root$1P();append($$anchor,svg2)}var root$1O=from_svg( +'');function InfoIcon($$anchor){var svg2=root$1O();append($$anchor,svg2)}var root$1N=from_svg( +'');function CloseIcon($$anchor){var svg2=root$1N();append($$anchor,svg2)}const VISIBLE_TOASTS_AMOUNT=3,VIEWPORT_OFFSET="24px",MOBILE_VIEWPORT_OFFSET="16px",TOAST_LIFETIME=4e3,TOAST_WIDTH=356,GAP=14, +DARK="dark",LIGHT="light";function getOffsetObject(defaultOffset,mobileOffset){const styles2={};return[defaultOffset,mobileOffset].forEach((offset2,index2)=>{const isMobile=index2===1,prefix=isMobile?"--mobile-offset":"--offset",defaultValue=isMobile?MOBILE_VIEWPORT_OFFSET:VIEWPORT_OFFSET;function assignAll(offset3){["top","right","bottom","left"].forEach(key2=>{styles2[`${prefix}-${key2}`]=typeof offset3=="number"?`${offset3}px`:offset3})}typeof offset2=="number"||typeof offset2=="string"?assignAll( +offset2):typeof offset2=="object"?["top","right","bottom","left"].forEach(key2=>{const value=offset2[key2];value===void 0?styles2[`${prefix}-${key2}`]=defaultValue:styles2[`${prefix}-${key2}`]=typeof value=="number"?`${value}px`:value}):assignAll(defaultValue)}),styles2}var root_2$1d=from_html("
        "),root$1M=from_html('
        ');function Toaster($$anchor,$$props){push$1($$props,!0);function getInitialTheme(t){ +return t!=="system"?t:typeof window<"u"&&window.matchMedia&&window.matchMedia("(prefers-color-scheme: dark)").matches?DARK:LIGHT}let invert=prop($$props,"invert",3,!1),position2=prop($$props,"position",3,"bottom-right"),hotkey=prop($$props,"hotkey",19,()=>["altKey","KeyT"]),expand=prop($$props,"expand",3,!1),closeButton=prop($$props,"closeButton",3,!1),offset2=prop($$props,"offset",3,VIEWPORT_OFFSET),mobileOffset=prop($$props,"mobileOffset",3,MOBILE_VIEWPORT_OFFSET),theme=prop($$props,"theme",3, +"light"),richColors=prop($$props,"richColors",3,!1),duration2=prop($$props,"duration",3,TOAST_LIFETIME),visibleToasts=prop($$props,"visibleToasts",3,VISIBLE_TOASTS_AMOUNT),toastOptions=prop($$props,"toastOptions",19,()=>({})),dir=prop($$props,"dir",7,"auto"),gap=prop($$props,"gap",3,GAP),containerAriaLabel=prop($$props,"containerAriaLabel",3,"Notifications"),closeButtonAriaLabel=prop($$props,"closeButtonAriaLabel",3,"Close toast"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","in\ +vert","position","hotkey","expand","closeButton","offset","mobileOffset","theme","richColors","duration","visibleToasts","toastOptions","dir","gap","loadingIcon","successIcon","errorIcon","warningIcon","closeIcon","infoIcon","containerAriaLabel","class","closeButtonAriaLabel","onblur","onfocus","onmouseenter","onmousemove","onmouseleave","ondragend","onpointerdown","onpointerup"]);function getDocumentDirection(){if(dir()!=="auto")return dir();if(typeof window>"u"||typeof document>"u")return"ltr"; +const dirAttribute=document.documentElement.getAttribute("dir");return dirAttribute==="auto"||!dirAttribute?(untrack$1(()=>dir(window.getComputedStyle(document.documentElement).direction??"ltr")),dir()):(untrack$1(()=>dir(dirAttribute)),dirAttribute)}const possiblePositions=user_derived(()=>Array.from(new Set([position2(),...toastState.toasts.filter(toast2=>toast2.position).map(toast2=>toast2.position)].filter(Boolean))));let expanded=state$1(!1),interacting=state$1(!1),actualTheme=state$1(proxy( +getInitialTheme(theme()))),listRef=state$1(void 0),lastFocusedElementRef=state$1(null),isFocusWithin=state$1(!1);const hotkeyLabel=user_derived(()=>hotkey().join("+").replace(/Key/g,"").replace(/Digit/g,""));user_effect(()=>{toastState.toasts.length<=1&&set$1(expanded,!1)}),user_effect(()=>{const toastsToDismiss=toastState.toasts.filter(toast2=>toast2.dismiss&&!toast2.delete);if(toastsToDismiss.length>0){const updatedToasts=toastState.toasts.map(toast2=>toastsToDismiss.find(dismissToast=>dismissToast. +id===toast2.id)?{...toast2,delete:!0}:toast2);toastState.toasts=updatedToasts}}),user_effect(()=>()=>{get$3(listRef)&&get$3(lastFocusedElementRef)&&(get$3(lastFocusedElementRef).focus({preventScroll:!0}),set$1(lastFocusedElementRef,null),set$1(isFocusWithin,!1))}),onMount$1(()=>(toastState.reset(),on(document,"keydown",event2=>{hotkey().every(key2=>event2[key2]||event2.code===key2)&&(set$1(expanded,!0),get$3(listRef)?.focus()),event2.code==="Escape"&&(document.activeElement===get$3(listRef)||get$3( +listRef)?.contains(document.activeElement))&&set$1(expanded,!1)}))),user_effect(()=>{if(theme()!=="system"&&set$1(actualTheme,theme()),typeof window<"u"){theme()==="system"&&(window.matchMedia&&window.matchMedia("(prefers-color-scheme: dark)").matches?set$1(actualTheme,DARK):set$1(actualTheme,LIGHT));const mediaQueryList=window.matchMedia("(prefers-color-scheme: dark)"),changeHandler=({matches:matches2})=>{set$1(actualTheme,matches2?DARK:LIGHT,!0)};"addEventListener"in mediaQueryList?mediaQueryList. +addEventListener("change",changeHandler):mediaQueryList.addListener(changeHandler)}});const handleBlur=event2=>{$$props.onblur?.(event2),get$3(isFocusWithin)&&!event2.currentTarget.contains(event2.relatedTarget)&&(set$1(isFocusWithin,!1),get$3(lastFocusedElementRef)&&(get$3(lastFocusedElementRef).focus({preventScroll:!0}),set$1(lastFocusedElementRef,null)))},handleFocus=event2=>{$$props.onfocus?.(event2),!(event2.target instanceof HTMLElement&&event2.target.dataset.dismissable==="false")&&(get$3( +isFocusWithin)||(set$1(isFocusWithin,!0),set$1(lastFocusedElementRef,event2.relatedTarget,!0)))},handlePointerDown=event2=>{$$props.onpointerdown?.(event2),!(event2.target instanceof HTMLElement&&event2.target.dataset.dismissable==="false")&&set$1(interacting,!0)},handleMouseEnter=event2=>{$$props.onmouseenter?.(event2),set$1(expanded,!0)},handleMouseLeave=event2=>{$$props.onmouseleave?.(event2),get$3(interacting)||set$1(expanded,!1)},handleMouseMove=event2=>{$$props.onmousemove?.(event2),set$1( +expanded,!0)},handleDragEnd=event2=>{$$props.ondragend?.(event2),set$1(expanded,!1)},handlePointerUp=event2=>{$$props.onpointerup?.(event2),set$1(interacting,!1)};sonnerContext.set(new SonnerState);var section=root$1M();set_attribute(section,"tabindex",-1);var node2=child(section);{var consequent_10=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);each(node_1,18,()=>get$3(possiblePositions),position3=>position3,($$anchor3,position3,index2,$$array)=>{const computed_const=user_derived( +()=>{const[y,x]=position3.split("-");return{y,x}}),offsetObject=user_derived(()=>getOffsetObject(offset2(),mobileOffset()));var ol=root_2$1d();attribute_effect(ol,$0=>({tabindex:-1,dir:$0,class:$$props.class,"data-sonner-toaster":!0,"data-sonner-theme":get$3(actualTheme),"data-y-position":get$3(computed_const).y,"data-x-position":get$3(computed_const).x,style:$$props.style,onblur:handleBlur,onfocus:handleFocus,onmouseenter:handleMouseEnter,onmousemove:handleMouseMove,onmouseleave:handleMouseLeave, +ondragend:handleDragEnd,onpointerdown:handlePointerDown,onpointerup:handlePointerUp,...restProps,[STYLE]:{"--front-toast-height":`${toastState.heights[0]?.height}px`,"--width":`${TOAST_WIDTH}px`,"--gap":`${gap()}px`,"--offset-top":get$3(offsetObject)["--offset-top"],"--offset-right":get$3(offsetObject)["--offset-right"],"--offset-bottom":get$3(offsetObject)["--offset-bottom"],"--offset-left":get$3(offsetObject)["--offset-left"],"--mobile-offset-top":get$3(offsetObject)["--mobile-offset-top"],"--\ 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get$3($4)},get unstyled(){return get$3($5)},get cancelButtonStyle(){return get$3($6)},get actionButtonStyle(){return get$3($7)},get closeButtonAriaLabel(){return get$3($8)},get expandByDefault(){return expand()},get expanded(){return get$3(expanded)},get loadingIcon(){return $$props.loadingIcon},successIcon,errorIcon,warningIcon,infoIcon,closeIcon,$$slots:{successIcon:!0,errorIcon:!0,warningIcon:!0, +infoIcon:!0,closeIcon:!0}})}}),reset(ol),bind_this(ol,$$value=>set$1(listRef,$$value),()=>get$3(listRef)),template_effect(()=>ol.dir=ol.dir),append($$anchor3,ol)}),append($$anchor2,fragment)};if_block(node2,$$render=>{toastState.toasts.length>0&&$$render(consequent_10)})}reset(section),template_effect(()=>set_attribute(section,"aria-label",`${containerAriaLabel()??""} ${get$3(hotkeyLabel)??""}`)),append($$anchor,section),pop()}async function copyToClipboard(text2,successMessage="Copied to clipbo\ +ard",errorMessage="Failed to copy to 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        '),root_2$1d=from_html(" ",1),root_12$e=from_html('
        '),root_1$_=from_html("
        "),root$1D=from_html(" ",1);function ChatAttachmentsList($$anchor,$$props){ -push$1($$props,!0);let className=prop($$props,"class",3,""),style2=prop($$props,"style",3,""),attachments=prop($$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),uploadedFiles=prop($$props,"uploadedFiles",27,()=>proxy([])),imageClass=prop($$props,"imageClass",3,""),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),limitToSingleRow=prop($$props,"limitToSingleRow",3,!1),displayItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(), -attachments:attachments()})),carouselRef=state$1(void 0),isScrollable=state$1(!1),previewDialogOpen=state$1(!1),previewItem=state$1(null),mcpResourcePreviewOpen=state$1(!1),mcpResourcePreviewExtra=state$1(null),showViewAll=user_derived(()=>limitToSingleRow()&&get$3(displayItems).length>0&&get$3(isScrollable)),viewAllDialogOpen=state$1(!1);function openPreview(item,event2){event2?.stopPropagation(),event2?.preventDefault(),set$1(previewItem,{uploadedFile:item.uploadedFile,attachment:item.attachment, -preview:item.preview,name:item.name,size:item.size,textContent:item.textContent},!0),set$1(previewDialogOpen,!0)}function openMcpResourcePreview(extra){set$1(mcpResourcePreviewExtra,extra,!0),set$1(mcpResourcePreviewOpen,!0)}function toMcpResourceAttachment(extra,id2){return{id:id2,resource:{uri:extra.uri,name:extra.name,title:extra.name,serverName:extra.serverName}}}user_effect(()=>{get$3(carouselRef)&&get$3(displayItems).length&&get$3(carouselRef).resetScroll()});var fragment=root$1D(),node2=first_child( -fragment);{var consequent_10=$$anchor2=>{var div=root_1$_(),node_1=child(div);{var consequent_5=$$anchor3=>{var fragment_1=root_2$1d(),node_2=first_child(fragment_1);bind_this(HorizontalScrollCarousel(node_2,{onScrollableChange:scrollable=>set$1(isScrollable,scrollable,!0),children:($$anchor4,$$slotProps)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);each(node_3,17,()=>get$3(displayItems),item=>item.id,($$anchor5,item)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);{var consequent_1=$$anchor6=>{ -const mcpPrompt=user_derived(()=>get$3(item).attachment?.type===AttachmentType.MCP_PROMPT?get$3(item).attachment:get$3(item).uploadedFile?.mcpPrompt?{type:AttachmentType.MCP_PROMPT,name:get$3(item).name,serverName:get$3(item).uploadedFile.mcpPrompt.serverName,promptName:get$3(item).uploadedFile.mcpPrompt.promptName,content:get$3(item).textContent??"",arguments:get$3(item).uploadedFile.mcpPrompt.arguments}:null);var fragment_4=comment$2(),node_5=first_child(fragment_4);{var consequent=$$anchor7=>{ -{let $0=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":""),$1=user_derived(()=>$$props.onFileRemove?()=>$$props.onFileRemove(get$3(item).id):void 0);ChatAttachmentMcpPrompt($$anchor7,{get class(){return`max-w-[300px] min-w-[200px] flex-shrink-0 ${get$3($0)??""}`},get prompt(){return get$3(mcpPrompt)},get readonly(){return readonly2()},get isLoading(){return get$3(item).isLoading},get loadError(){return get$3(item).loadError},get onRemove(){return get$3($1)}})}};if_block(node_5,$$render=>{ -get$3(mcpPrompt)&&$$render(consequent)})}append($$anchor6,fragment_4)},consequent_2=$$anchor6=>{const mcpResource=user_derived(()=>get$3(item).attachment);{let $0=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":""),$1=user_derived(()=>toMcpResourceAttachment(get$3(mcpResource),get$3(item).id));ChatAttachmentMcpResource($$anchor6,{get class(){return`flex-shrink-0 ${get$3($0)??""}`},get attachment(){return get$3($1)},onClick:()=>openMcpResourcePreview(get$3(mcpResource))})}},consequent_3=$$anchor6=>{ -{let $0=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":"");ChatAttachmentThumbnailImage($$anchor6,{get class(){return`flex-shrink-0 cursor-pointer ${get$3($0)??""}`},get id(){return get$3(item).id},get name(){return get$3(item).name},get preview(){return get$3(item).preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onClick:event2=>openPreview( -get$3(item),event2)})}},alternate=$$anchor6=>{{let $0=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":"");ChatAttachmentThumbnailFile($$anchor6,{get class(){return`flex-shrink-0 cursor-pointer ${get$3($0)??""}`},get id(){return get$3(item).id},get name(){return get$3(item).name},get size(){return get$3(item).size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return get$3(item).textContent},get attachment(){return get$3(item).attachment}, -get uploadedFile(){return get$3(item).uploadedFile},onClick:event2=>openPreview(get$3(item),event2)})}};if_block(node_4,$$render=>{get$3(item).isMcpPrompt?$$render(consequent_1):get$3(item).isMcpResource&&get$3(item).attachment?.type===AttachmentType.MCP_RESOURCE?$$render(consequent_2,1):get$3(item).isImage&&get$3(item).preview?$$render(consequent_3,2):$$render(alternate,-1)})}append($$anchor5,fragment_3)}),append($$anchor4,fragment_2)},$$slots:{default:!0}}),$$value=>set$1(carouselRef,$$value,!0), -()=>get$3(carouselRef));var node_6=sibling(node_2,2);{var consequent_4=$$anchor4=>{var div_1=root_10$h(),node_7=child(div_1);Button(node_7,{type:"button",variant:"ghost",size:"sm",class:"h-6 text-xs text-muted-foreground hover:text-foreground",onclick:()=>set$1(viewAllDialogOpen,!0),children:($$anchor5,$$slotProps)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,`View all (${get$3(displayItems).length??""})`)),append($$anchor5,text2)},$$slots:{default:!0}}),reset(div_1),append($$anchor4, -div_1)};if_block(node_6,$$render=>{get$3(showViewAll)&&$$render(consequent_4)})}append($$anchor3,fragment_1)},alternate_2=$$anchor3=>{var div_2=root_12$e();each(div_2,21,()=>get$3(displayItems),item=>item.id,($$anchor4,item)=>{var fragment_10=comment$2(),node_8=first_child(fragment_10);{var consequent_7=$$anchor5=>{const mcpPrompt=user_derived(()=>get$3(item).attachment?.type===AttachmentType.MCP_PROMPT?get$3(item).attachment:get$3(item).uploadedFile?.mcpPrompt?{type:AttachmentType.MCP_PROMPT,name:get$3( -item).name,serverName:get$3(item).uploadedFile.mcpPrompt.serverName,promptName:get$3(item).uploadedFile.mcpPrompt.promptName,content:get$3(item).textContent??"",arguments:get$3(item).uploadedFile.mcpPrompt.arguments}:null);var fragment_11=comment$2(),node_9=first_child(fragment_11);{var consequent_6=$$anchor6=>{{let $0=user_derived(()=>$$props.onFileRemove?()=>$$props.onFileRemove(get$3(item).id):void 0);ChatAttachmentMcpPrompt($$anchor6,{class:"max-w-[300px] min-w-[200px]",get prompt(){return get$3( -mcpPrompt)},get readonly(){return readonly2()},get isLoading(){return get$3(item).isLoading},get loadError(){return get$3(item).loadError},get onRemove(){return get$3($0)}})}};if_block(node_9,$$render=>{get$3(mcpPrompt)&&$$render(consequent_6)})}append($$anchor5,fragment_11)},consequent_8=$$anchor5=>{const mcpResource=user_derived(()=>get$3(item).attachment);{let $0=user_derived(()=>toMcpResourceAttachment(get$3(mcpResource),get$3(item).id));ChatAttachmentMcpResource($$anchor5,{get attachment(){ -return get$3($0)},onClick:()=>openMcpResourcePreview(get$3(mcpResource))})}},consequent_9=$$anchor5=>{ChatAttachmentThumbnailImage($$anchor5,{class:"cursor-pointer",get id(){return get$3(item).id},get name(){return get$3(item).name},get preview(){return get$3(item).preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onClick:event2=>openPreview(get$3(item), -event2)})},alternate_1=$$anchor5=>{ChatAttachmentThumbnailFile($$anchor5,{class:"cursor-pointer",get id(){return get$3(item).id},get name(){return get$3(item).name},get size(){return get$3(item).size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return get$3(item).textContent},get attachment(){return get$3(item).attachment},get uploadedFile(){return get$3(item).uploadedFile},onClick:event2=>openPreview(get$3(item),event2)})};if_block(node_8,$$render=>{ -get$3(item).isMcpPrompt?$$render(consequent_7):get$3(item).isMcpResource&&get$3(item).attachment?.type===AttachmentType.MCP_RESOURCE?$$render(consequent_8,1):get$3(item).isImage&&get$3(item).preview?$$render(consequent_9,2):$$render(alternate_1,-1)})}append($$anchor4,fragment_10)}),reset(div_2),append($$anchor3,div_2)};if_block(node_1,$$render=>{limitToSingleRow()?$$render(consequent_5):$$render(alternate_2,-1)})}reset(div),template_effect(()=>{set_class(div,1,clsx(className())),set_style(div,style2())}), -append($$anchor2,div)};if_block(node2,$$render=>{get$3(displayItems).length>0&&$$render(consequent_10)})}var node_10=sibling(node2,2);{var consequent_11=$$anchor2=>{DialogChatAttachmentPreview($$anchor2,{get uploadedFile(){return get$3(previewItem).uploadedFile},get attachment(){return get$3(previewItem).attachment},get preview(){return get$3(previewItem).preview},get name(){return get$3(previewItem).name},get size(){return get$3(previewItem).size},get textContent(){return get$3(previewItem).textContent}, -get activeModelId(){return $$props.activeModelId},get open(){return get$3(previewDialogOpen)},set open($$value){set$1(previewDialogOpen,$$value,!0)}})};if_block(node_10,$$render=>{get$3(previewItem)&&$$render(consequent_11)})}var node_11=sibling(node_10,2);DialogChatAttachmentsViewAll(node_11,{get uploadedFiles(){return uploadedFiles()},get attachments(){return attachments()},get readonly(){return readonly2()},get onFileRemove(){return $$props.onFileRemove},imageHeight:"h-64",get imageClass(){return imageClass()}, -get activeModelId(){return $$props.activeModelId},get open(){return get$3(viewAllDialogOpen)},set open($$value){set$1(viewAllDialogOpen,$$value,!0)}});var node_12=sibling(node_11,2);{var consequent_12=$$anchor2=>{DialogMcpResourcePreview($$anchor2,{get extra(){return get$3(mcpResourcePreviewExtra)},get open(){return get$3(mcpResourcePreviewOpen)},set open($$value){set$1(mcpResourcePreviewOpen,$$value,!0)}})};if_block(node_12,$$render=>{get$3(mcpResourcePreviewExtra)&&$$render(consequent_12)})}append( -$$anchor,fragment),pop()}var root_1$Z=from_html('
        '),root$1C=from_html("
        ");function ChatAttachmentMcpPrompt($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),readonly2=prop($$props,"readonly",3,!1),isLoading2=prop($$props,"isLoading",3,!1);var div=root$1C(),node2=child(div);ChatMessageMcpPromptContent(node2,{get prompt(){ -return $$props.prompt},get variant(){return McpPromptVariant.ATTACHMENT},get isLoading(){return isLoading2()},get loadError(){return $$props.loadError}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div_1=root_1$Z(),node_2=child(div_1);ActionIconRemove(node_2,{get id(){return $$props.prompt.name},onRemove:()=>$$props.onRemove?.()}),reset(div_1),append($$anchor2,div_1)};if_block(node_1,$$render=>{!readonly2()&&$$props.onRemove&&$$render(consequent)})}reset(div),template_effect(()=>set_class( -div,1,`group relative ${className()??""}`)),append($$anchor,div),pop()}const NEVER=Object.freeze({status:"aborted"});function $constructor(name,initializer2,params){function init2(inst,def){if(inst._zod||Object.defineProperty(inst,"_zod",{value:{def,constr:_,traits:new Set},enumerable:!1}),inst._zod.traits.has(name))return;inst._zod.traits.add(name),initializer2(inst,def);const proto=_.prototype,keys2=Object.keys(proto);for(let i=0;iparams?.Parent&&inst instanceof params.Parent?!0:inst?._zod?.traits?.has( -name)}),Object.defineProperty(_,"name",{value:name}),_}class $ZodAsyncError extends Error{constructor(){super("Encountered Promise during synchronous parse. Use .parseAsync() instead.")}}class $ZodEncodeError extends Error{constructor(name){super(`Encountered unidirectional transform during encode: ${name}`),this.name="ZodEncodeError"}}const globalConfig={};function config(newConfig){return globalConfig}function getEnumValues(entries){const numericValues=Object.values(entries).filter(v=>typeof v== -"number");return Object.entries(entries).filter(([k,_])=>numericValues.indexOf(+k)===-1).map(([_,v])=>v)}function jsonStringifyReplacer(_,value){return typeof value=="bigint"?value.toString():value}function cached(getter){return{get value(){{const value=getter();return Object.defineProperty(this,"value",{value}),value}}}}function nullish(input){return input==null}function cleanRegex(source2){const start2=source2.startsWith("^")?1:0,end=source2.endsWith("$")?source2.length-1:source2.length;return source2. -slice(start2,end)}function floatSafeRemainder(val,step){const valDecCount=(val.toString().split(".")[1]||"").length,stepString=step.toString();let stepDecCount=(stepString.split(".")[1]||"").length;if(stepDecCount===0&&/\d?e-\d?/.test(stepString)){const match=stepString.match(/\d?e-(\d?)/);match?.[1]&&(stepDecCount=Number.parseInt(match[1]))}const decCount=valDecCount>stepDecCount?valDecCount:stepDecCount,valInt=Number.parseInt(val.toFixed(decCount).replace(".","")),stepInt=Number.parseInt(step. -toFixed(decCount).replace(".",""));return valInt%stepInt/10**decCount}const EVALUATING=Symbol("evaluating");function defineLazy(object2,key2,getter){let value;Object.defineProperty(object2,key2,{get(){if(value!==EVALUATING)return value===void 0&&(value=EVALUATING,value=getter()),value},set(v){Object.defineProperty(object2,key2,{value:v})},configurable:!0})}function assignProp(target2,prop2,value){Object.defineProperty(target2,prop2,{value,writable:!0,enumerable:!0,configurable:!0})}function mergeDefs(...defs){ -const mergedDescriptors={};for(const def of defs){const descriptors=Object.getOwnPropertyDescriptors(def);Object.assign(mergedDescriptors,descriptors)}return Object.defineProperties({},mergedDescriptors)}function esc(str){return JSON.stringify(str)}function slugify(input){return input.toLowerCase().trim().replace(/[^\w\s-]/g,"").replace(/[\s_-]+/g,"-").replace(/^-+|-+$/g,"")}const captureStackTrace="captureStackTrace"in Error?Error.captureStackTrace:(..._args)=>{};function isObject$1(data){return typeof data== -"object"&&data!==null&&!Array.isArray(data)}const allowsEval=cached(()=>{if(typeof navigator<"u"&&navigator?.userAgent?.includes("Cloudflare"))return!1;try{const F=Function;return new F(""),!0}catch{return!1}});function isPlainObject$2(o){if(isObject$1(o)===!1)return!1;const ctor=o.constructor;if(ctor===void 0||typeof ctor!="function")return!0;const prot=ctor.prototype;return!(isObject$1(prot)===!1||Object.prototype.hasOwnProperty.call(prot,"isPrototypeOf")===!1)}function shallowClone(o){return isPlainObject$2( -o)?{...o}:Array.isArray(o)?[...o]:o}const propertyKeyTypes=new Set(["string","number","symbol"]);function escapeRegex(str){return str.replace(/[.*+?^${}()|[\]\\]/g,"\\$&")}function clone(inst,def,params){const cl=new inst._zod.constr(def??inst._zod.def);return(!def||params?.parent)&&(cl._zod.parent=inst),cl}function normalizeParams(_params){const params=_params;if(!params)return{};if(typeof params=="string")return{error:()=>params};if(params?.message!==void 0){if(params?.error!==void 0)throw new Error( -"Cannot specify both `message` and `error` params");params.error=params.message}return delete params.message,typeof params.error=="string"?{...params,error:()=>params.error}:params}function optionalKeys(shape){return Object.keys(shape).filter(k=>shape[k]._zod.optin==="optional"&&shape[k]._zod.optout==="optional")}const NUMBER_FORMAT_RANGES={safeint:[Number.MIN_SAFE_INTEGER,Number.MAX_SAFE_INTEGER],int32:[-2147483648,2147483647],uint32:[0,4294967295],float32:[-34028234663852886e22,34028234663852886e22], -float64:[-Number.MAX_VALUE,Number.MAX_VALUE]};function pick(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){const newShape={};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(newShape[key2]=currDef.shape[key2])}return assignProp(this,"shape",newShape),newShape},checks:[]});return clone(schema,def)}function omit(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){ -const newShape={...schema._zod.def.shape};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&delete newShape[key2]}return assignProp(this,"shape",newShape),newShape},checks:[]});return clone(schema,def)}function extend$2(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to extend: expected a plain object");const checks2=schema._zod.def.checks;if(checks2&&checks2.length>0)throw new Error("Object schemas containing r\ -efinements cannot be extended. Use `.safeExtend()` instead.");const def=mergeDefs(schema._zod.def,{get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape),_shape},checks:[]});return clone(schema,def)}function safeExtend(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to safeExtend: expected a plain object");const def={...schema._zod.def,get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape), -_shape},checks:schema._zod.def.checks};return clone(schema,def)}function merge$1(a,b){const def=mergeDefs(a._zod.def,{get shape(){const _shape={...a._zod.def.shape,...b._zod.def.shape};return assignProp(this,"shape",_shape),_shape},get catchall(){return b._zod.def.catchall},checks:[]});return clone(a,def)}function partial(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask)for(const key2 in mask){if(!(key2 in oldShape)) -throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}):oldShape[key2])}else for(const key2 in oldShape)shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}):oldShape[key2];return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function required$4(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask) -for(const key2 in mask){if(!(key2 in shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]}))}else for(const key2 in oldShape)shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]});return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function aborted(x,startIndex=0){if(x.aborted===!0)return!0;for(let i=startIndex;i{var _a2;return(_a2=iss).path??(_a2.path=[]),iss.path.unshift(path2),iss})}function unwrapMessage(message){return typeof message=="string"?message:message?.message}function finalizeIssue(iss,ctx,config2){const full={...iss,path:iss.path??[]};if(!iss.message){const message=unwrapMessage(iss.inst?._zod.def?.error?.(iss))??unwrapMessage(ctx?.error?.(iss))??unwrapMessage(config2.customError?.(iss))??unwrapMessage(config2.localeError?.(iss))?? -"Invalid input";full.message=message}return delete full.inst,delete full.continue,ctx?.reportInput||delete full.input,full}function getLengthableOrigin(input){return Array.isArray(input)?"array":typeof input=="string"?"string":"unknown"}function issue(...args){const[iss,input,inst]=args;return typeof iss=="string"?{message:iss,code:"custom",input,inst}:{...iss}}const initializer$1=(inst,def)=>{inst.name="$ZodError",Object.defineProperty(inst,"_zod",{value:inst._zod,enumerable:!1}),Object.defineProperty( -inst,"issues",{value:def,enumerable:!1}),inst.message=JSON.stringify(def,jsonStringifyReplacer,2),Object.defineProperty(inst,"toString",{value:()=>inst.message,enumerable:!1})},$ZodError=$constructor("$ZodError",initializer$1),$ZodRealError=$constructor("$ZodError",initializer$1,{Parent:Error});function flattenError$1(error2,mapper=issue2=>issue2.message){const fieldErrors={},formErrors=[];for(const sub2 of error2.issues)sub2.path.length>0?(fieldErrors[sub2.path[0]]=fieldErrors[sub2.path[0]]||[], -fieldErrors[sub2.path[0]].push(mapper(sub2))):formErrors.push(mapper(sub2));return{formErrors,fieldErrors}}function formatError(error2,mapper=issue2=>issue2.message){const fieldErrors={_errors:[]},processError=error3=>{for(const issue2 of error3.issues)if(issue2.code==="invalid_union"&&issue2.errors.length)issue2.errors.map(issues=>processError({issues}));else if(issue2.code==="invalid_key")processError({issues:issue2.issues});else if(issue2.code==="invalid_element")processError({issues:issue2.issues});else if(issue2. -path.length===0)fieldErrors._errors.push(mapper(issue2));else{let curr=fieldErrors,i=0;for(;i(schema,value,_ctx,_params)=>{const ctx=_ctx?Object.assign(_ctx,{async:!1}):{async:!1},result=schema._zod.run({value,issues:[]},ctx);if(result instanceof -Promise)throw new $ZodAsyncError;if(result.issues.length){const e=new(_params?.Err??_Err)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())));throw captureStackTrace(e,_params?.callee),e}return result.value},_parseAsync=_Err=>async(schema,value,_ctx,params)=>{const ctx=_ctx?Object.assign(_ctx,{async:!0}):{async:!0};let result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise&&(result=await result),result.issues.length){const e=new(params?.Err??_Err)(result.issues.map(iss=>finalizeIssue( -iss,ctx,config())));throw captureStackTrace(e,params?.callee),e}return result.value},_safeParse=_Err=>(schema,value,_ctx)=>{const 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RegExp(`^${timeSource(args)}$`)} -function datetime$1(args){const time2=timeSource({precision:args.precision}),opts=["Z"];args.local&&opts.push(""),args.offset&&opts.push("([+-](?:[01]\\d|2[0-3]):[0-5]\\d)");const timeRegex=`${time2}(?:${opts.join("|")})`;return new RegExp(`^${dateSource}T(?:${timeRegex})$`)}const string$3=params=>{const regex=params?`[\\s\\S]{${params?.minimum??0},${params?.maximum??""}}`:"[\\s\\S]*";return new RegExp(`^${regex}$`)},integer=/^-?\d+$/,number$3=/^-?\d+(?:\.\d+)?/,boolean$2=/^(?:true|false)$/i,_null$2=/^null$/i, -lowercase=/^[^A-Z]*$/,uppercase$1=/^[^a-z]*$/,$ZodCheck=$constructor("$ZodCheck",(inst,def)=>{var _a2;inst._zod??(inst._zod={}),inst._zod.def=def,(_a2=inst._zod).onattach??(_a2.onattach=[])}),numericOriginMap={number:"number",bigint:"bigint",object:"date"},$ZodCheckLessThan=$constructor("$ZodCheckLessThan",(inst,def)=>{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.maximum:bag.exclusiveMaximum)?? -Number.POSITIVE_INFINITY;def.value{(def.inclusive?payload.value<=def.value:payload.value{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod. -onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.minimum:bag.exclusiveMinimum)??Number.NEGATIVE_INFINITY;def.value>curr&&(def.inclusive?bag.minimum=def.value:bag.exclusiveMinimum=def.value)}),inst._zod.check=payload=>{(def.inclusive?payload.value>=def.value:payload.value>def.value)||payload.issues.push({origin:origin2,code:"too_small",minimum:def.value,input:payload.value,inclusive:def.inclusive,inst,continue:!def.abort})}}),$ZodCheckMultipleOf=$constructor("$ZodCheckMultip\ -leOf",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{var _a2;(_a2=inst2._zod.bag).multipleOf??(_a2.multipleOf=def.value)}),inst._zod.check=payload=>{if(typeof payload.value!=typeof def.value)throw new Error("Cannot mix number and bigint in multiple_of check.");(typeof payload.value=="bigint"?payload.value%def.value===BigInt(0):floatSafeRemainder(payload.value,def.value)===0)||payload.issues.push({origin:typeof payload.value,code:"not_multiple_of",divisor:def.value,input:payload. -value,inst,continue:!def.abort})}}),$ZodCheckNumberFormat=$constructor("$ZodCheckNumberFormat",(inst,def)=>{$ZodCheck.init(inst,def),def.format=def.format||"float64";const isInt=def.format?.includes("int"),origin2=isInt?"int":"number",[minimum,maximum]=NUMBER_FORMAT_RANGES[def.format];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,bag.minimum=minimum,bag.maximum=maximum,isInt&&(bag.pattern=integer)}),inst._zod.check=payload=>{const input=payload.value;if(isInt){if(!Number. -isInteger(input)){payload.issues.push({expected:origin2,format:def.format,code:"invalid_type",continue:!1,input,inst});return}if(!Number.isSafeInteger(input)){input>0?payload.issues.push({input,code:"too_big",maximum:Number.MAX_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def.abort}):payload.issues.push({input,code:"too_small",minimum:Number.MIN_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def. -abort});return}}inputmaximum&&payload.issues.push({origin:"number",input,code:"too_big",maximum,inst})}}),$ZodCheckMaxLength=$constructor("$ZodCheckMaxLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag. -maximum??Number.POSITIVE_INFINITY;def.maximum{const input=payload.value;if(input.length<=def.maximum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_big",maximum:def.maximum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckMinLength=$constructor("$ZodCheckMinLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload. -value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag.minimum??Number.NEGATIVE_INFINITY;def.minimum>curr&&(inst2._zod.bag.minimum=def.minimum)}),inst._zod.check=payload=>{const input=payload.value;if(input.length>=def.minimum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_small",minimum:def.minimum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckLengthEquals=$constructor("$ZodCheckLength\ -Equals",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.minimum=def.length,bag.maximum=def.length,bag.length=def.length}),inst._zod.check=payload=>{const input=payload.value,length=input.length;if(length===def.length)return;const origin2=getLengthableOrigin(input),tooBig=length>def.length;payload.issues.push({origin:origin2,...tooBig? -{code:"too_big",maximum:def.length}:{code:"too_small",minimum:def.length},inclusive:!0,exact:!0,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckStringFormat=$constructor("$ZodCheckStringFormat",(inst,def)=>{var _a2,_b;$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,def.pattern&&(bag.patterns??(bag.patterns=new Set),bag.patterns.add(def.pattern))}),def.pattern?(_a2=inst._zod).check??(_a2.check=payload=>{def.pattern.lastIndex=0,!def. -pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:def.format,input:payload.value,...def.pattern?{pattern:def.pattern.toString()}:{},inst,continue:!def.abort})}):(_b=inst._zod).check??(_b.check=()=>{})}),$ZodCheckRegex=$constructor("$ZodCheckRegex",(inst,def)=>{$ZodCheckStringFormat.init(inst,def),inst._zod.check=payload=>{def.pattern.lastIndex=0,!def.pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:"regex", -input:payload.value,pattern:def.pattern.toString(),inst,continue:!def.abort})}}),$ZodCheckLowerCase=$constructor("$ZodCheckLowerCase",(inst,def)=>{def.pattern??(def.pattern=lowercase),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckUpperCase=$constructor("$ZodCheckUpperCase",(inst,def)=>{def.pattern??(def.pattern=uppercase$1),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckIncludes=$constructor("$ZodCheckIncludes",(inst,def)=>{$ZodCheck.init(inst,def);const escapedRegex=escapeRegex(def.includes), -pattern2=new RegExp(typeof def.position=="number"?`^.{${def.position}}${escapedRegex}`:escapedRegex);def.pattern=pattern2,inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.includes(def.includes,def.position)||payload.issues.push({origin:"string",code:"invalid_format",format:"includes",includes:def.includes,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckStartsWith=$constructor( -"$ZodCheckStartsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`^${escapeRegex(def.prefix)}.*`);def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.startsWith(def.prefix)||payload.issues.push({origin:"string",code:"invalid_format",format:"starts_with",prefix:def.prefix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckEndsWith=$constructor( -"$ZodCheckEndsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`.*${escapeRegex(def.suffix)}$`);def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.endsWith(def.suffix)||payload.issues.push({origin:"string",code:"invalid_format",format:"ends_with",suffix:def.suffix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckOverwrite=$constructor( -"$ZodCheckOverwrite",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.check=payload=>{payload.value=def.tx(payload.value)}});class Doc{constructor(args=[]){this.content=[],this.indent=0,this&&(this.args=args)}indented(fn){this.indent+=1,fn(this),this.indent-=1}write(arg){if(typeof arg=="function"){arg(this,{execution:"sync"}),arg(this,{execution:"async"});return}const lines=arg.split(` +"AbortError"}function uuid$1(){return globalThis.crypto?.randomUUID?.()??Math.random().toString(36).substring(2)}function remToPx(rem){const val=parseFloat(rem),fontSize=parseFloat(getComputedStyle(document.documentElement).fontSize);return val*fontSize}function ActionIconCopyToClipboard($$anchor,$$props){push$1($$props,!1);let ariaLabel=prop($$props,"ariaLabel",8,"Copy to clipboard"),canCopy=prop($$props,"canCopy",8,!0),text2=prop($$props,"text",8);init();{let $0=derived_safe_equal(()=>!canCopy()); +ActionIcon($$anchor,{get icon(){return Copy},get tooltip(){return ariaLabel()},iconSize:"h-4 w-4",get disabled(){return get$3($0)},onclick:()=>canCopy()&©ToClipboard(text2())})}pop()}var root$1L=from_html("");function BadgeInfo($$anchor,$$props){let className=prop($$props,"class",3,"");var button=root$1L(),node2=child(button);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);snippet(node_1,()=>$$props.icon),append($$anchor2,fragment)};if_block( +node2,$$render=>{$$props.icon&&$$render(consequent)})}var node_2=sibling(node2,2);snippet(node_2,()=>$$props.children),reset(button),template_effect(()=>set_class(button,1,clsx(["inline-flex cursor-pointer items-center gap-1 rounded-sm bg-muted-foreground/15 px-1.5 py-0.75",className()]))),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor,button)}delegate(["click"]);var root_3$Z=from_html(" Vision",1),root_4$F=from_html(" Audio",1),root_2$1c=from_html( +"");function BadgesModality($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,"");var fragment=comment$2(),node2=first_child(fragment);each(node2,16,()=>$$props.modalities,modality=>modality,($$anchor2,modality)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent_1=$$anchor3=>{var span=root_2$1c(),node_2=child(span);{var consequent=$$anchor4=>{var fragment_2=root_3$Z(),node_3=first_child(fragment_2);Eye(node_3,{class:"h-3 w-3"}),next$1(), +append($$anchor4,fragment_2)},alternate=$$anchor4=>{var fragment_3=root_4$F(),node_4=first_child(fragment_3);Mic(node_4,{class:"h-3 w-3"}),next$1(),append($$anchor4,fragment_3)};if_block(node_2,$$render=>{modality===ModelModality.VISION?$$render(consequent):$$render(alternate,-1)})}reset(span),template_effect(()=>set_class(span,1,clsx(["inline-flex items-center gap-1 rounded-md bg-muted px-2 py-1 text-xs font-medium",className()]))),append($$anchor3,span)};if_block(node_1,$$render=>{(modality=== +ModelModality.VISION||modality===ModelModality.AUDIO)&&$$render(consequent_1)})}append($$anchor2,fragment_1)}),append($$anchor,fragment),pop()}var root_6$v=from_html('
        '),root_2$1b=from_html("
        "),root$1K=from_html(" ",1);function ChatAttachmentsList($$anchor,$$props){push$1($$props,!0);const attachmentitem=($$anchor2,item=noop$3)=>{ChatAttachmentsListItem($$anchor2,{get imageClass(){return imageClass()},get imageHeight(){ +return imageHeight()},get imageWidth(){return imageWidth()},get item(){return item()},get limitToSingleRow(){return limitToSingleRow()},get onFileRemove(){return $$props.onFileRemove},onMcpResourcePreview:openMcpResourcePreview,onPreview:(i,event2)=>openPreview(i,event2),get readonly(){return readonly2()}})};let className=prop($$props,"class",3,""),style2=prop($$props,"style",3,""),attachments=prop($$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),uploadedFiles=prop($$props, +"uploadedFiles",27,()=>proxy([])),imageClass=prop($$props,"imageClass",3,""),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),limitToSingleRow=prop($$props,"limitToSingleRow",3,!1),carouselRef=state$1(void 0),mcpResourcePreviewOpen=state$1(!1),mcpResourcePreviewExtra=state$1(null),previewFocusIndex=state$1(0),viewAllDialogOpen=state$1(!1),displayItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(),attachments:attachments()})); +function openPreview(item,event2){event2?.stopPropagation(),event2?.preventDefault();const index2=get$3(displayItems).filter(i=>!isMcpPrompt(i)&&!isMcpResource(i)).findIndex(i=>i.id===item.id);set$1(previewFocusIndex,index2>=0?index2:0,!0),set$1(viewAllDialogOpen,!0)}function openMcpResourcePreview(extra){set$1(mcpResourcePreviewExtra,extra,!0),set$1(mcpResourcePreviewOpen,!0)}user_effect(()=>{get$3(carouselRef)&&get$3(displayItems).length&&get$3(carouselRef).resetScroll()});var fragment_1=root$1K(), +node2=first_child(fragment_1);{var consequent_1=$$anchor2=>{var div=root_2$1b(),node_1=child(div);{var consequent=$$anchor3=>{bind_this(HorizontalScrollCarousel($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);each(node_2,17,()=>get$3(displayItems),item=>item.id,($$anchor5,item)=>{attachmentitem($$anchor5,()=>get$3(item))}),append($$anchor4,fragment_3)},$$slots:{default:!0}}),$$value=>set$1(carouselRef,$$value,!0),()=>get$3(carouselRef))},alternate=$$anchor3=>{ +var div_1=root_6$v();each(div_1,21,()=>get$3(displayItems),item=>item.id,($$anchor4,item)=>{attachmentitem($$anchor4,()=>get$3(item))}),reset(div_1),append($$anchor3,div_1)};if_block(node_1,$$render=>{limitToSingleRow()?$$render(consequent):$$render(alternate,-1)})}reset(div),template_effect(()=>{set_class(div,1,clsx(className())),set_style(div,style2())}),append($$anchor2,div)};if_block(node2,$$render=>{get$3(displayItems).length>0&&$$render(consequent_1)})}var node_3=sibling(node2,2);DialogChatAttachmentsPreview( +node_3,{get activeModelId(){return $$props.activeModelId},get attachments(){return attachments()},get previewFocusIndex(){return get$3(previewFocusIndex)},get uploadedFiles(){return uploadedFiles()},get open(){return get$3(viewAllDialogOpen)},set open($$value){set$1(viewAllDialogOpen,$$value,!0)}});var node_4=sibling(node_3,2);{var consequent_2=$$anchor2=>{DialogMcpResourcePreview($$anchor2,{get extra(){return get$3(mcpResourcePreviewExtra)},get open(){return get$3(mcpResourcePreviewOpen)},set open($$value){ +set$1(mcpResourcePreviewOpen,$$value,!0)}})};if_block(node_4,$$render=>{get$3(mcpResourcePreviewExtra)&&$$render(consequent_2)})}append($$anchor,fragment_1),pop()}function ChatAttachmentsListItem($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),imageClass=prop($$props,"imageClass",3,""),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),limitToSingleRow=prop($$props,"limitToSingleRow",3,!1),readonly2=prop($$props,"readon\ +ly",3,!1);const scrollClasses=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":"");function toMcpResourceAttachment(extra,id2){return{id:id2,resource:{uri:extra.uri,name:extra.name,title:extra.name,serverName:extra.serverName}}}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{const mcpPrompt=user_derived(()=>$$props.item.attachment?.type===AttachmentType.MCP_PROMPT?$$props.item.attachment:$$props.item.uploadedFile?.mcpPrompt?{type:AttachmentType.MCP_PROMPT, +name:$$props.item.name,serverName:$$props.item.uploadedFile.mcpPrompt.serverName,promptName:$$props.item.uploadedFile.mcpPrompt.promptName,content:$$props.item.textContent??"",arguments:$$props.item.uploadedFile.mcpPrompt.arguments}:null);var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{{let $0=user_derived(()=>$$props.onFileRemove?()=>$$props.onFileRemove($$props.item.id):void 0);ChatAttachmentsListItemMcpPrompt($$anchor3,{get class(){return`max-w-[300px] mi\ +n-w-[200px] flex-shrink-0 ${className()??""} ${get$3(scrollClasses)??""}`},get prompt(){return get$3(mcpPrompt)},get readonly(){return readonly2()},get isLoading(){return $$props.item.isLoading},get loadError(){return $$props.item.loadError},get onRemove(){return get$3($0)}})}};if_block(node_1,$$render=>{get$3(mcpPrompt)&&$$render(consequent)})}append($$anchor2,fragment_1)},d2=user_derived(()=>isMcpPrompt($$props.item)),consequent_2=$$anchor2=>{const mcpResource=user_derived(()=>$$props.item.attachment); +{let $0=user_derived(()=>toMcpResourceAttachment(get$3(mcpResource),$$props.item.id));ChatAttachmentsListItemMcpResource($$anchor2,{get class(){return`flex-shrink-0 ${className()??""} ${get$3(scrollClasses)??""}`},get attachment(){return get$3($0)},onclick:()=>$$props.onMcpResourcePreview?.(get$3(mcpResource))})}},d_12=user_derived(()=>isMcpResource($$props.item)),consequent_3=$$anchor2=>{ChatAttachmentsListItemThumbnailImage($$anchor2,{get class(){return`flex-shrink-0 cursor-pointer ${className()?? +""} ${get$3(scrollClasses)??""}`},get id(){return $$props.item.id},get name(){return $$props.item.name},get preview(){return $$props.item.preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onclick:()=>$$props.onPreview?.($$props.item)})},consequent_4=$$anchor2=>{ChatAttachmentsListItemThumbnailFile($$anchor2,{get class(){return`flex-shrink-0 cursor-pointe\ +r ${className()??""} ${get$3(scrollClasses)??""}`},get id(){return $$props.item.id},get name(){return $$props.item.name},get size(){return $$props.item.size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return $$props.item.textContent},get attachment(){return $$props.item.attachment},get uploadedFile(){return $$props.item.uploadedFile},onclick:()=>$$props.onPreview?.($$props.item)})},d_2=user_derived(()=>isPdfFile$1($$props.item.attachment,$$props. +item.uploadedFile)),alternate=$$anchor2=>{ChatAttachmentsListItemThumbnailFile($$anchor2,{get class(){return`flex-shrink-0 cursor-pointer ${className()??""} ${get$3(scrollClasses)??""}`},get id(){return $$props.item.id},get name(){return $$props.item.name},get size(){return $$props.item.size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return $$props.item.textContent},get attachment(){return $$props.item.attachment},get uploadedFile(){return $$props. +item.uploadedFile},onclick:()=>$$props.onPreview?.($$props.item)})};if_block(node2,$$render=>{get$3(d2)?$$render(consequent_1):get$3(d_12)?$$render(consequent_2,1):$$props.item.isImage&&$$props.item.preview?$$render(consequent_3,2):get$3(d_2)?$$render(consequent_4,3):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_1$15=from_html('
        '),root$1J=from_html( +"
        ");function ChatAttachmentsListItemMcpPrompt($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isLoading2=prop($$props,"isLoading",3,!1),readonly2=prop($$props,"readonly",3,!1);var div=root$1J(),node2=child(div);ChatMessageMcpPromptContent(node2,{get isLoading(){return isLoading2()},get loadError(){return $$props.loadError},get prompt(){return $$props.prompt},get variant(){return McpPromptVariant.ATTACHMENT}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{ +var div_1=root_1$15(),node_2=child(div_1);ActionIcon(node_2,{get icon(){return X},tooltip:"Remove",stopPropagationOnClick:!0,onclick:()=>$$props.onRemove?.()}),reset(div_1),append($$anchor2,div_1)};if_block(node_1,$$render=>{!readonly2()&&$$props.onRemove&&$$render(consequent)})}reset(div),template_effect(()=>set_class(div,1,`group relative ${className()??""}`)),append($$anchor,div),pop()}const NEVER=Object.freeze({status:"aborted"});function $constructor(name,initializer2,params){function init2(inst,def){ +if(inst._zod||Object.defineProperty(inst,"_zod",{value:{def,constr:_,traits:new Set},enumerable:!1}),inst._zod.traits.has(name))return;inst._zod.traits.add(name),initializer2(inst,def);const proto=_.prototype,keys2=Object.keys(proto);for(let i=0;iparams?.Parent&&inst instanceof params.Parent?!0:inst?._zod?.traits?.has(name)}),Object.defineProperty(_,"name",{value:name}),_}class $ZodAsyncError extends Error{constructor(){super("Encountered Promise during synchronous parse. Use .parseAsync() instead.")}}class $ZodEncodeError extends Error{constructor(name){ +super(`Encountered unidirectional transform during encode: ${name}`),this.name="ZodEncodeError"}}const globalConfig={};function config(newConfig){return globalConfig}function getEnumValues(entries){const numericValues=Object.values(entries).filter(v=>typeof v=="number");return Object.entries(entries).filter(([k,_])=>numericValues.indexOf(+k)===-1).map(([_,v])=>v)}function jsonStringifyReplacer(_,value){return typeof value=="bigint"?value.toString():value}function cached(getter){return{get value(){ +{const value=getter();return Object.defineProperty(this,"value",{value}),value}}}}function nullish(input){return input==null}function cleanRegex(source2){const start2=source2.startsWith("^")?1:0,end=source2.endsWith("$")?source2.length-1:source2.length;return source2.slice(start2,end)}function floatSafeRemainder(val,step){const valDecCount=(val.toString().split(".")[1]||"").length,stepString=step.toString();let stepDecCount=(stepString.split(".")[1]||"").length;if(stepDecCount===0&&/\d?e-\d?/.test( +stepString)){const match=stepString.match(/\d?e-(\d?)/);match?.[1]&&(stepDecCount=Number.parseInt(match[1]))}const decCount=valDecCount>stepDecCount?valDecCount:stepDecCount,valInt=Number.parseInt(val.toFixed(decCount).replace(".","")),stepInt=Number.parseInt(step.toFixed(decCount).replace(".",""));return valInt%stepInt/10**decCount}const EVALUATING=Symbol("evaluating");function defineLazy(object2,key2,getter){let value;Object.defineProperty(object2,key2,{get(){if(value!==EVALUATING)return value=== +void 0&&(value=EVALUATING,value=getter()),value},set(v){Object.defineProperty(object2,key2,{value:v})},configurable:!0})}function assignProp(target2,prop2,value){Object.defineProperty(target2,prop2,{value,writable:!0,enumerable:!0,configurable:!0})}function mergeDefs(...defs){const mergedDescriptors={};for(const def of defs){const descriptors=Object.getOwnPropertyDescriptors(def);Object.assign(mergedDescriptors,descriptors)}return Object.defineProperties({},mergedDescriptors)}function esc(str){return JSON. +stringify(str)}function slugify(input){return input.toLowerCase().trim().replace(/[^\w\s-]/g,"").replace(/[\s_-]+/g,"-").replace(/^-+|-+$/g,"")}const captureStackTrace="captureStackTrace"in Error?Error.captureStackTrace:(..._args)=>{};function isObject(data){return typeof data=="object"&&data!==null&&!Array.isArray(data)}const allowsEval=cached(()=>{if(typeof navigator<"u"&&navigator?.userAgent?.includes("Cloudflare"))return!1;try{const F=Function;return new F(""),!0}catch{return!1}});function isPlainObject$2(o){ +if(isObject(o)===!1)return!1;const ctor=o.constructor;if(ctor===void 0||typeof ctor!="function")return!0;const prot=ctor.prototype;return!(isObject(prot)===!1||Object.prototype.hasOwnProperty.call(prot,"isPrototypeOf")===!1)}function shallowClone(o){return isPlainObject$2(o)?{...o}:Array.isArray(o)?[...o]:o}const propertyKeyTypes=new Set(["string","number","symbol"]);function escapeRegex(str){return str.replace(/[.*+?^${}()|[\]\\]/g,"\\$&")}function clone(inst,def,params){const cl=new inst._zod. +constr(def??inst._zod.def);return(!def||params?.parent)&&(cl._zod.parent=inst),cl}function normalizeParams(_params){const params=_params;if(!params)return{};if(typeof params=="string")return{error:()=>params};if(params?.message!==void 0){if(params?.error!==void 0)throw new Error("Cannot specify both `message` and `error` params");params.error=params.message}return delete params.message,typeof params.error=="string"?{...params,error:()=>params.error}:params}function optionalKeys(shape){return Object. +keys(shape).filter(k=>shape[k]._zod.optin==="optional"&&shape[k]._zod.optout==="optional")}const NUMBER_FORMAT_RANGES={safeint:[Number.MIN_SAFE_INTEGER,Number.MAX_SAFE_INTEGER],int32:[-2147483648,2147483647],uint32:[0,4294967295],float32:[-34028234663852886e22,34028234663852886e22],float64:[-Number.MAX_VALUE,Number.MAX_VALUE]};function pick(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){const newShape={};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error( +`Unrecognized key: "${key2}"`);mask[key2]&&(newShape[key2]=currDef.shape[key2])}return assignProp(this,"shape",newShape),newShape},checks:[]});return clone(schema,def)}function omit(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){const newShape={...schema._zod.def.shape};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&delete newShape[key2]}return assignProp(this,"shape",newShape),newShape},checks:[]}); +return clone(schema,def)}function extend$2(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to extend: expected a plain object");const checks2=schema._zod.def.checks;if(checks2&&checks2.length>0)throw new Error("Object schemas containing refinements cannot be extended. Use `.safeExtend()` instead.");const def=mergeDefs(schema._zod.def,{get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape),_shape},checks:[]});return clone(schema, +def)}function safeExtend(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to safeExtend: expected a plain object");const def={...schema._zod.def,get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape),_shape},checks:schema._zod.def.checks};return clone(schema,def)}function merge$1(a,b){const def=mergeDefs(a._zod.def,{get shape(){const _shape={...a._zod.def.shape,...b._zod.def.shape};return assignProp(this,"shape",_shape),_shape}, +get catchall(){return b._zod.def.catchall},checks:[]});return clone(a,def)}function partial(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask)for(const key2 in mask){if(!(key2 in oldShape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}):oldShape[key2])}else for(const key2 in oldShape)shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}): +oldShape[key2];return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function required$4(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask)for(const key2 in mask){if(!(key2 in shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]}))}else for(const key2 in oldShape)shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]}); +return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function aborted(x,startIndex=0){if(x.aborted===!0)return!0;for(let i=startIndex;i{var _a2;return(_a2=iss).path??(_a2.path=[]),iss.path.unshift(path2),iss})}function unwrapMessage(message){return typeof message=="string"?message:message?.message}function finalizeIssue(iss,ctx,config2){const full={ +...iss,path:iss.path??[]};if(!iss.message){const message=unwrapMessage(iss.inst?._zod.def?.error?.(iss))??unwrapMessage(ctx?.error?.(iss))??unwrapMessage(config2.customError?.(iss))??unwrapMessage(config2.localeError?.(iss))??"Invalid input";full.message=message}return delete full.inst,delete full.continue,ctx?.reportInput||delete full.input,full}function getLengthableOrigin(input){return Array.isArray(input)?"array":typeof input=="string"?"string":"unknown"}function issue(...args){const[iss,input, +inst]=args;return typeof iss=="string"?{message:iss,code:"custom",input,inst}:{...iss}}const initializer$1=(inst,def)=>{inst.name="$ZodError",Object.defineProperty(inst,"_zod",{value:inst._zod,enumerable:!1}),Object.defineProperty(inst,"issues",{value:def,enumerable:!1}),inst.message=JSON.stringify(def,jsonStringifyReplacer,2),Object.defineProperty(inst,"toString",{value:()=>inst.message,enumerable:!1})},$ZodError=$constructor("$ZodError",initializer$1),$ZodRealError=$constructor("$ZodError",initializer$1, +{Parent:Error});function flattenError$1(error2,mapper=issue2=>issue2.message){const fieldErrors={},formErrors=[];for(const sub2 of error2.issues)sub2.path.length>0?(fieldErrors[sub2.path[0]]=fieldErrors[sub2.path[0]]||[],fieldErrors[sub2.path[0]].push(mapper(sub2))):formErrors.push(mapper(sub2));return{formErrors,fieldErrors}}function formatError(error2,mapper=issue2=>issue2.message){const fieldErrors={_errors:[]},processError=error3=>{for(const issue2 of error3.issues)if(issue2.code==="invalid_\ +union"&&issue2.errors.length)issue2.errors.map(issues=>processError({issues}));else if(issue2.code==="invalid_key")processError({issues:issue2.issues});else if(issue2.code==="invalid_element")processError({issues:issue2.issues});else if(issue2.path.length===0)fieldErrors._errors.push(mapper(issue2));else{let curr=fieldErrors,i=0;for(;i(schema,value,_ctx,_params)=>{const ctx=_ctx?Object.assign(_ctx,{async:!1}):{async:!1},result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise)throw new $ZodAsyncError;if(result.issues.length){const e=new(_params?.Err??_Err)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())));throw captureStackTrace(e,_params?.callee),e}return result.value},_parseAsync=_Err=>async(schema,value,_ctx,params)=>{ +const ctx=_ctx?Object.assign(_ctx,{async:!0}):{async:!0};let result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise&&(result=await result),result.issues.length){const e=new(params?.Err??_Err)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())));throw captureStackTrace(e,params?.callee),e}return result.value},_safeParse=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?{..._ctx,async:!1}:{async:!1},result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise)throw new $ZodAsyncError; +return result.issues.length?{success:!1,error:new(_Err??$ZodError)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())))}:{success:!0,data:result.value}},safeParse$2=_safeParse($ZodRealError),_safeParseAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{async:!0}):{async:!0};let result=schema._zod.run({value,issues:[]},ctx);return result instanceof Promise&&(result=await result),result.issues.length?{success:!1,error:new _Err(result.issues.map(iss=>finalizeIssue(iss,ctx, +config())))}:{success:!0,data:result.value}},safeParseAsync$1=_safeParseAsync($ZodRealError),_encode=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _parse(_Err)(schema,value,ctx)},_decode=_Err=>(schema,value,_ctx)=>_parse(_Err)(schema,value,_ctx),_encodeAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _parseAsync(_Err)(schema,value,ctx)},_decodeAsync=_Err=>async(schema,value,_ctx)=>_parseAsync( +_Err)(schema,value,_ctx),_safeEncode=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _safeParse(_Err)(schema,value,ctx)},_safeDecode=_Err=>(schema,value,_ctx)=>_safeParse(_Err)(schema,value,_ctx),_safeEncodeAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _safeParseAsync(_Err)(schema,value,ctx)},_safeDecodeAsync=_Err=>async(schema,value,_ctx)=>_safeParseAsync( +_Err)(schema,value,_ctx),cuid=/^[cC][^\s-]{8,}$/,cuid2=/^[0-9a-z]+$/,ulid=/^[0-9A-HJKMNP-TV-Za-hjkmnp-tv-z]{26}$/,xid=/^[0-9a-vA-V]{20}$/,ksuid=/^[A-Za-z0-9]{27}$/,nanoid=/^[a-zA-Z0-9_-]{21}$/,duration$1=/^P(?:(\d+W)|(?!.*W)(?=\d|T\d)(\d+Y)?(\d+M)?(\d+D)?(T(?=\d)(\d+H)?(\d+M)?(\d+([.,]\d+)?S)?)?)$/,guid=/^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})$/,uuid=version2=>version2?new RegExp(`^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-${version2}[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]\ +{3}-[0-9a-fA-F]{12})$`):/^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$/,email=/^(?!\.)(?!.*\.\.)([A-Za-z0-9_'+\-\.]*)[A-Za-z0-9_+-]@([A-Za-z0-9][A-Za-z0-9\-]*\.)+[A-Za-z]{2,}$/,_emoji$1="^(\\p{Extended_Pictographic}|\\p{Emoji_Component})+$";function emoji(){return new RegExp(_emoji$1,"u")}const ipv4=/^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/, +ipv6=/^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$/,cidrv4=/^((25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\/([0-9]|[1-2][0-9]|3[0-2])$/, +cidrv6=/^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|::|([0-9a-fA-F]{1,4})?::([0-9a-fA-F]{1,4}:?){0,6})\/(12[0-8]|1[01][0-9]|[1-9]?[0-9])$/,base64=/^$|^(?:[0-9a-zA-Z+/]{4})*(?:(?:[0-9a-zA-Z+/]{2}==)|(?:[0-9a-zA-Z+/]{3}=))?$/,base64url=/^[A-Za-z0-9_-]*$/,e164=/^\+(?:[0-9]){6,14}[0-9]$/,dateSource="(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))", +date$1=new RegExp(`^${dateSource}$`);function timeSource(args){const hhmm="(?:[01]\\d|2[0-3]):[0-5]\\d";return typeof args.precision=="number"?args.precision===-1?`${hhmm}`:args.precision===0?`${hhmm}:[0-5]\\d`:`${hhmm}:[0-5]\\d\\.\\d{${args.precision}}`:`${hhmm}(?::[0-5]\\d(?:\\.\\d+)?)?`}function time$1(args){return new RegExp(`^${timeSource(args)}$`)}function datetime$1(args){const time2=timeSource({precision:args.precision}),opts=["Z"];args.local&&opts.push(""),args.offset&&opts.push("([+-](\ +?:[01]\\d|2[0-3]):[0-5]\\d)");const timeRegex=`${time2}(?:${opts.join("|")})`;return new RegExp(`^${dateSource}T(?:${timeRegex})$`)}const string$3=params=>{const regex=params?`[\\s\\S]{${params?.minimum??0},${params?.maximum??""}}`:"[\\s\\S]*";return new RegExp(`^${regex}$`)},integer=/^-?\d+$/,number$3=/^-?\d+(?:\.\d+)?/,boolean$2=/^(?:true|false)$/i,_null$2=/^null$/i,lowercase=/^[^A-Z]*$/,uppercase$1=/^[^a-z]*$/,$ZodCheck=$constructor("$ZodCheck",(inst,def)=>{var _a2;inst._zod??(inst._zod={}),inst. +_zod.def=def,(_a2=inst._zod).onattach??(_a2.onattach=[])}),numericOriginMap={number:"number",bigint:"bigint",object:"date"},$ZodCheckLessThan=$constructor("$ZodCheckLessThan",(inst,def)=>{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.maximum:bag.exclusiveMaximum)??Number.POSITIVE_INFINITY;def.value{(def.inclusive?payload.value<=def.value:payload.value{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.minimum:bag.exclusiveMinimum)??Number.NEGATIVE_INFINITY; +def.value>curr&&(def.inclusive?bag.minimum=def.value:bag.exclusiveMinimum=def.value)}),inst._zod.check=payload=>{(def.inclusive?payload.value>=def.value:payload.value>def.value)||payload.issues.push({origin:origin2,code:"too_small",minimum:def.value,input:payload.value,inclusive:def.inclusive,inst,continue:!def.abort})}}),$ZodCheckMultipleOf=$constructor("$ZodCheckMultipleOf",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{var _a2;(_a2=inst2._zod.bag).multipleOf??(_a2.multipleOf= +def.value)}),inst._zod.check=payload=>{if(typeof payload.value!=typeof def.value)throw new Error("Cannot mix number and bigint in multiple_of check.");(typeof payload.value=="bigint"?payload.value%def.value===BigInt(0):floatSafeRemainder(payload.value,def.value)===0)||payload.issues.push({origin:typeof payload.value,code:"not_multiple_of",divisor:def.value,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckNumberFormat=$constructor("$ZodCheckNumberFormat",(inst,def)=>{$ZodCheck.init(inst, +def),def.format=def.format||"float64";const isInt=def.format?.includes("int"),origin2=isInt?"int":"number",[minimum,maximum]=NUMBER_FORMAT_RANGES[def.format];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,bag.minimum=minimum,bag.maximum=maximum,isInt&&(bag.pattern=integer)}),inst._zod.check=payload=>{const input=payload.value;if(isInt){if(!Number.isInteger(input)){payload.issues.push({expected:origin2,format:def.format,code:"invalid_type",continue:!1,input,inst}); +return}if(!Number.isSafeInteger(input)){input>0?payload.issues.push({input,code:"too_big",maximum:Number.MAX_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def.abort}):payload.issues.push({input,code:"too_small",minimum:Number.MIN_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def.abort});return}}inputmaximum&&payload.issues.push({origin:"number",input,code:"too_big",maximum,inst})}}),$ZodCheckMaxLength=$constructor("$ZodCheckMaxLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag.maximum??Number.POSITIVE_INFINITY;def.maximum{ +const input=payload.value;if(input.length<=def.maximum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_big",maximum:def.maximum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckMinLength=$constructor("$ZodCheckMinLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag.minimum?? +Number.NEGATIVE_INFINITY;def.minimum>curr&&(inst2._zod.bag.minimum=def.minimum)}),inst._zod.check=payload=>{const input=payload.value;if(input.length>=def.minimum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_small",minimum:def.minimum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckLengthEquals=$constructor("$ZodCheckLengthEquals",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload. +value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.minimum=def.length,bag.maximum=def.length,bag.length=def.length}),inst._zod.check=payload=>{const input=payload.value,length=input.length;if(length===def.length)return;const origin2=getLengthableOrigin(input),tooBig=length>def.length;payload.issues.push({origin:origin2,...tooBig?{code:"too_big",maximum:def.length}:{code:"too_small",minimum:def.length},inclusive:!0,exact:!0,input:payload. +value,inst,continue:!def.abort})}}),$ZodCheckStringFormat=$constructor("$ZodCheckStringFormat",(inst,def)=>{var _a2,_b;$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,def.pattern&&(bag.patterns??(bag.patterns=new Set),bag.patterns.add(def.pattern))}),def.pattern?(_a2=inst._zod).check??(_a2.check=payload=>{def.pattern.lastIndex=0,!def.pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:def.format,input:payload. +value,...def.pattern?{pattern:def.pattern.toString()}:{},inst,continue:!def.abort})}):(_b=inst._zod).check??(_b.check=()=>{})}),$ZodCheckRegex=$constructor("$ZodCheckRegex",(inst,def)=>{$ZodCheckStringFormat.init(inst,def),inst._zod.check=payload=>{def.pattern.lastIndex=0,!def.pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:"regex",input:payload.value,pattern:def.pattern.toString(),inst,continue:!def.abort})}}),$ZodCheckLowerCase=$constructor("$ZodC\ +heckLowerCase",(inst,def)=>{def.pattern??(def.pattern=lowercase),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckUpperCase=$constructor("$ZodCheckUpperCase",(inst,def)=>{def.pattern??(def.pattern=uppercase$1),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckIncludes=$constructor("$ZodCheckIncludes",(inst,def)=>{$ZodCheck.init(inst,def);const escapedRegex=escapeRegex(def.includes),pattern2=new RegExp(typeof def.position=="number"?`^.{${def.position}}${escapedRegex}`:escapedRegex);def.pattern=pattern2, +inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.includes(def.includes,def.position)||payload.issues.push({origin:"string",code:"invalid_format",format:"includes",includes:def.includes,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckStartsWith=$constructor("$ZodCheckStartsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`^${escapeRegex(def.prefix)}.*`); +def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.startsWith(def.prefix)||payload.issues.push({origin:"string",code:"invalid_format",format:"starts_with",prefix:def.prefix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckEndsWith=$constructor("$ZodCheckEndsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`.*${escapeRegex( +def.suffix)}$`);def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.endsWith(def.suffix)||payload.issues.push({origin:"string",code:"invalid_format",format:"ends_with",suffix:def.suffix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckOverwrite=$constructor("$ZodCheckOverwrite",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.check=payload=>{ +payload.value=def.tx(payload.value)}});class Doc{constructor(args=[]){this.content=[],this.indent=0,this&&(this.args=args)}indented(fn){this.indent+=1,fn(this),this.indent-=1}write(arg){if(typeof arg=="function"){arg(this,{execution:"sync"}),arg(this,{execution:"async"});return}const lines=arg.split(` `).filter(x=>x),minIndent=Math.min(...lines.map(x=>x.length-x.trimStart().length)),dedented=lines.map(x=>x.slice(minIndent)).map(x=>" ".repeat(this.indent*2)+x);for(const line of dedented)this.content.push(line)}compile(){const F=Function,args=this?.args,lines=[...(this?.content??[""]).map(x=>` ${x}`)];return new F(...args,lines.join(` `))}}const version$2={major:4,minor:2,patch:1},$ZodType=$constructor("$ZodType",(inst,def)=>{var _a2;inst??(inst={}),inst._zod.def=def,inst._zod.bag=inst._zod.bag||{},inst._zod.version=version$2;const checks2=[...inst._zod.def.checks??[]];inst._zod.traits.has("$ZodCheck")&&checks2.unshift(inst);for(const ch of checks2)for(const fn of ch._zod.onattach)fn(inst);if(checks2.length===0)(_a2=inst._zod).deferred??(_a2.deferred=[]),inst._zod.deferred?.push(()=>{inst._zod.run=inst._zod.parse});else{const runChecks=(payload,checks3,ctx)=>{ let isAborted=aborted(payload),asyncResult;for(const ch of checks3){if(ch._zod.def.when){if(!ch._zod.def.when(payload))continue}else if(isAborted)continue;const currLen=payload.issues.length,_=ch._zod.check(payload);if(_ instanceof Promise&&ctx?.async===!1)throw new $ZodAsyncError;if(asyncResult||_ instanceof Promise)asyncResult=(asyncResult??Promise.resolve()).then(async()=>{await _,payload.issues.length!==currLen&&(isAborted||(isAborted=aborted(payload,currLen)))});else{if(payload.issues.length=== @@ -3934,10 +3986,10 @@ result.issues.length&&final.issues.push(...prefixIssues(index2,result.issues)),f issues:[]},ctx);result instanceof Promise?proms.push(result.then(result2=>handleArrayResult(result2,payload,i))):handleArrayResult(result,payload,i)}return proms.length?Promise.all(proms).then(()=>payload):payload}});function handlePropertyResult(result,final,key2,input){result.issues.length&&final.issues.push(...prefixIssues(key2,result.issues)),result.value===void 0?key2 in input&&(final.value[key2]=void 0):final.value[key2]=result.value}function normalizeDef(def){const keys2=Object.keys(def.shape); for(const k of keys2)if(!def.shape?.[k]?._zod?.traits?.has("$ZodType"))throw new Error(`Invalid element at key "${k}": expected a Zod schema`);const okeys=optionalKeys(def.shape);return{...def,keys:keys2,keySet:new Set(keys2),numKeys:keys2.length,optionalKeys:new Set(okeys)}}function handleCatchall(proms,input,payload,ctx,def,inst){const unrecognized=[],keySet=def.keySet,_catchall=def.catchall._zod,t=_catchall.def.type;for(const key2 in input){if(keySet.has(key2))continue;if(t==="never"){unrecognized. push(key2);continue}const r2=_catchall.run({value:input[key2],issues:[]},ctx);r2 instanceof Promise?proms.push(r2.then(r3=>handlePropertyResult(r3,payload,key2,input))):handlePropertyResult(r2,payload,key2,input)}return unrecognized.length&&payload.issues.push({code:"unrecognized_keys",keys:unrecognized,input,inst}),proms.length?Promise.all(proms).then(()=>payload):payload}const $ZodObject=$constructor("$ZodObject",(inst,def)=>{if($ZodType.init(inst,def),!Object.getOwnPropertyDescriptor(def,"sha\ -pe")?.get){const sh=def.shape;Object.defineProperty(def,"shape",{get:()=>{const newSh={...sh};return Object.defineProperty(def,"shape",{value:newSh}),newSh}})}const _normalized=cached(()=>normalizeDef(def));defineLazy(inst._zod,"propValues",()=>{const shape=def.shape,propValues={};for(const key2 in shape){const field=shape[key2]._zod;if(field.values){propValues[key2]??(propValues[key2]=new Set);for(const v of field.values)propValues[key2].add(v)}}return propValues});const isObject2=isObject$1,catchall=def. -catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;if(!isObject2(input))return payload.issues.push({expected:"object",code:"invalid_type",input,inst}),payload;payload.value={};const proms=[],shape=value.shape;for(const key2 of value.keys){const r2=shape[key2]._zod.run({value:input[key2],issues:[]},ctx);r2 instanceof Promise?proms.push(r2.then(r3=>handlePropertyResult(r3,payload,key2,input))):handlePropertyResult(r2,payload,key2,input)}return catchall? -handleCatchall(proms,input,payload,ctx,_normalized.value,inst):proms.length?Promise.all(proms).then(()=>payload):payload}}),$ZodObjectJIT=$constructor("$ZodObjectJIT",(inst,def)=>{$ZodObject.init(inst,def);const superParse=inst._zod.parse,_normalized=cached(()=>normalizeDef(def)),generateFastpass=shape=>{const doc=new Doc(["shape","payload","ctx"]),normalized=_normalized.value,parseStr=key2=>{const k=esc(key2);return`shape[${k}]._zod.run({ value: input[${k}], issues: [] }, ctx)`};doc.write("cons\ -t input = payload.value;");const ids=Object.create(null);let counter=0;for(const key2 of normalized.keys)ids[key2]=`key_${counter++}`;doc.write("const newResult = {};");for(const key2 of normalized.keys){const id2=ids[key2],k=esc(key2);doc.write(`const ${id2} = ${parseStr(key2)};`),doc.write(` +pe")?.get){const sh=def.shape;Object.defineProperty(def,"shape",{get:()=>{const newSh={...sh};return Object.defineProperty(def,"shape",{value:newSh}),newSh}})}const _normalized=cached(()=>normalizeDef(def));defineLazy(inst._zod,"propValues",()=>{const shape=def.shape,propValues={};for(const key2 in shape){const field=shape[key2]._zod;if(field.values){propValues[key2]??(propValues[key2]=new Set);for(const v of field.values)propValues[key2].add(v)}}return propValues});const isObject$12=isObject,catchall=def. +catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;if(!isObject$12(input))return payload.issues.push({expected:"object",code:"invalid_type",input,inst}),payload;payload.value={};const proms=[],shape=value.shape;for(const key2 of value.keys){const r2=shape[key2]._zod.run({value:input[key2],issues:[]},ctx);r2 instanceof Promise?proms.push(r2.then(r3=>handlePropertyResult(r3,payload,key2,input))):handlePropertyResult(r2,payload,key2,input)} +return catchall?handleCatchall(proms,input,payload,ctx,_normalized.value,inst):proms.length?Promise.all(proms).then(()=>payload):payload}}),$ZodObjectJIT=$constructor("$ZodObjectJIT",(inst,def)=>{$ZodObject.init(inst,def);const superParse=inst._zod.parse,_normalized=cached(()=>normalizeDef(def)),generateFastpass=shape=>{const doc=new Doc(["shape","payload","ctx"]),normalized=_normalized.value,parseStr=key2=>{const k=esc(key2);return`shape[${k}]._zod.run({ value: input[${k}], issues: [] }, ctx)`}; +doc.write("const input = payload.value;");const ids=Object.create(null);let counter=0;for(const key2 of normalized.keys)ids[key2]=`key_${counter++}`;doc.write("const newResult = {};");for(const key2 of normalized.keys){const id2=ids[key2],k=esc(key2);doc.write(`const ${id2} = ${parseStr(key2)};`),doc.write(` if (${id2}.issues.length) { payload.issues = payload.issues.concat(${id2}.issues.map(iss => ({ ...iss, @@ -3954,13 +4006,13 @@ t input = payload.value;");const ids=Object.create(null);let counter=0;for(const newResult[${k}] = ${id2}.value; } - `)}doc.write("payload.value = newResult;"),doc.write("return payload;");const fn=doc.compile();return(payload,ctx)=>fn(shape,payload,ctx)};let fastpass;const isObject2=isObject$1,jit=!globalConfig.jitless,fastEnabled=jit&&allowsEval.value,catchall=def.catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;return isObject2(input)?jit&&fastEnabled&&ctx?.async===!1&&ctx.jitless!==!0?(fastpass||(fastpass=generateFastpass(def.shape)),payload= + `)}doc.write("payload.value = newResult;"),doc.write("return payload;");const fn=doc.compile();return(payload,ctx)=>fn(shape,payload,ctx)};let fastpass;const isObject$12=isObject,jit=!globalConfig.jitless,fastEnabled=jit&&allowsEval.value,catchall=def.catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;return isObject$12(input)?jit&&fastEnabled&&ctx?.async===!1&&ctx.jitless!==!0?(fastpass||(fastpass=generateFastpass(def.shape)),payload= fastpass(payload,ctx),catchall?handleCatchall([],input,payload,ctx,value,inst):payload):superParse(payload,ctx):(payload.issues.push({expected:"object",code:"invalid_type",input,inst}),payload)}});function handleUnionResults(results,final,inst,ctx){for(const result of results)if(result.issues.length===0)return final.value=result.value,final;const nonaborted=results.filter(r2=>!aborted(r2));return nonaborted.length===1?(final.value=nonaborted[0].value,nonaborted[0]):(final.issues.push({code:"inva\ lid_union",input:final.value,inst,errors:results.map(result=>result.issues.map(iss=>finalizeIssue(iss,ctx,config())))}),final)}const $ZodUnion=$constructor("$ZodUnion",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"optin",()=>def.options.some(o=>o._zod.optin==="optional")?"optional":void 0),defineLazy(inst._zod,"optout",()=>def.options.some(o=>o._zod.optout==="optional")?"optional":void 0),defineLazy(inst._zod,"values",()=>{if(def.options.every(o=>o._zod.values))return new Set(def.options. flatMap(option2=>Array.from(option2._zod.values)))}),defineLazy(inst._zod,"pattern",()=>{if(def.options.every(o=>o._zod.pattern)){const patterns=def.options.map(o=>o._zod.pattern);return new RegExp(`^(${patterns.map(p2=>cleanRegex(p2.source)).join("|")})$`)}});const single=def.options.length===1,first=def.options[0]._zod.run;inst._zod.parse=(payload,ctx)=>{if(single)return first(payload,ctx);let async=!1;const results=[];for(const option2 of def.options){const result=option2._zod.run({value:payload. value,issues:[]},ctx);if(result instanceof Promise)results.push(result),async=!0;else{if(result.issues.length===0)return result;results.push(result)}}return async?Promise.all(results).then(results2=>handleUnionResults(results2,payload,inst,ctx)):handleUnionResults(results,payload,inst,ctx)}}),$ZodDiscriminatedUnion=$constructor("$ZodDiscriminatedUnion",(inst,def)=>{def.inclusive=!1,$ZodUnion.init(inst,def);const _super=inst._zod.parse;defineLazy(inst._zod,"propValues",()=>{const propValues={};for(const option2 of def. options){const pv=option2._zod.propValues;if(!pv||Object.keys(pv).length===0)throw new Error(`Invalid discriminated union option at index "${def.options.indexOf(option2)}"`);for(const[k,v]of Object.entries(pv)){propValues[k]||(propValues[k]=new Set);for(const val of v)propValues[k].add(val)}}return propValues});const disc=cached(()=>{const opts=def.options,map2=new Map;for(const o of opts){const values=o._zod.propValues?.[def.discriminator];if(!values||values.size===0)throw new Error(`Invalid di\ -scriminated union option at index "${def.options.indexOf(o)}"`);for(const v of values){if(map2.has(v))throw new Error(`Duplicate discriminator value "${String(v)}"`);map2.set(v,o)}}return map2});inst._zod.parse=(payload,ctx)=>{const input=payload.value;if(!isObject$1(input))return payload.issues.push({code:"invalid_type",expected:"object",input,inst}),payload;const opt=disc.value.get(input?.[def.discriminator]);return opt?opt._zod.run(payload,ctx):def.unionFallback?_super(payload,ctx):(payload.issues. +scriminated union option at index "${def.options.indexOf(o)}"`);for(const v of values){if(map2.has(v))throw new Error(`Duplicate discriminator value "${String(v)}"`);map2.set(v,o)}}return map2});inst._zod.parse=(payload,ctx)=>{const input=payload.value;if(!isObject(input))return payload.issues.push({code:"invalid_type",expected:"object",input,inst}),payload;const opt=disc.value.get(input?.[def.discriminator]);return opt?opt._zod.run(payload,ctx):def.unionFallback?_super(payload,ctx):(payload.issues. push({code:"invalid_union",errors:[],note:"No matching discriminator",discriminator:def.discriminator,input,path:[def.discriminator],inst}),payload)}}),$ZodIntersection=$constructor("$ZodIntersection",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{const input=payload.value,left=def.left._zod.run({value:input,issues:[]},ctx),right=def.right._zod.run({value:input,issues:[]},ctx);return left instanceof Promise||right instanceof Promise?Promise.all([left,right]).then(([left2,right2])=>handleIntersectionResults( payload,left2,right2)):handleIntersectionResults(payload,left,right)}});function mergeValues(a,b){if(a===b)return{valid:!0,data:a};if(a instanceof Date&&b instanceof Date&&+a==+b)return{valid:!0,data:a};if(isPlainObject$2(a)&&isPlainObject$2(b)){const bKeys=Object.keys(b),sharedKeys=Object.keys(a).filter(key2=>bKeys.indexOf(key2)!==-1),newObj={...a,...b};for(const key2 of sharedKeys){const sharedValue=mergeValues(a[key2],b[key2]);if(!sharedValue.valid)return{valid:!1,mergeErrorPath:[key2,...sharedValue. mergeErrorPath]};newObj[key2]=sharedValue.data}return{valid:!0,data:newObj}}if(Array.isArray(a)&&Array.isArray(b)){if(a.length!==b.length)return{valid:!1,mergeErrorPath:[]};const newArray=[];for(let index2=0;index220?`${field.slice(0,20)}…`:field}"`,{type:"unknown-field",field,value,line}));break}}function dispatchEvent2(){data.length>0&&onEvent({id:id2,event:eventType||void 0,data:data.endsWith(` `)?data.slice(0,-1):data}),id2=void 0,data="",eventType=""}function reset2(options={}){incompleteLine&&options.consume&&parseLine(incompleteLine),isFirstChunk=!0,id2=void 0,data="",eventType="",incompleteLine=""}return{feed,reset:reset2}}function splitLines(chunk){const lines=[];let incompleteLine="",searchIndex=0;for(;searchIndex{controller.enqueue(event2)},onError(error2){onError==="terminate"?controller.error(error2):typeof onError=="function"&&onError(error2)},onRetry,onComment})},transform(chunk){parser.feed(chunk)}})}}const DEFAULT_STREAMABLE_HTTP_RECONNECTION_OPTIONS={initialReconnectionDelay:1e3,maxReconnectionDelay:3e4, +`&&searchIndex++}}return[lines,incompleteLine]}class EventSourceParserStream extends TransformStream{constructor({onError,onRetry,onComment}={}){let parser;super({start(controller){parser=createParser({onEvent:event2=>{controller.enqueue(event2)},onError(error2){onError==="terminate"?controller.error(error2):typeof onError=="function"&&onError(error2)},onRetry,onComment})},transform(chunk){parser.feed(chunk)}})}}const DEFAULT_STREAMABLE_HTTP_RECONNECTION_OPTIONS={initialReconnectionDelay:1e3,maxReconnectionDelay:3e4, reconnectionDelayGrowFactor:1.5,maxRetries:2};class StreamableHTTPError extends Error{constructor(code2,message){super(`Streamable HTTP error: ${message}`),this.code=code2}}class StreamableHTTPClientTransport{constructor(url2,opts){this._hasCompletedAuthFlow=!1,this._url=url2,this._resourceMetadataUrl=void 0,this._scope=void 0,this._requestInit=opts?.requestInit,this._authProvider=opts?.authProvider,this._fetch=opts?.fetch,this._fetchWithInit=createFetchWithInit(opts?.fetch,opts?.requestInit),this. _sessionId=opts?.sessionId,this._reconnectionOptions=opts?.reconnectionOptions??DEFAULT_STREAMABLE_HTTP_RECONNECTION_OPTIONS}async _authThenStart(){if(!this._authProvider)throw new UnauthorizedError("No auth provider");let result;try{result=await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})}catch(error2){throw this.onerror?.(error2),error2}if(result!=="AUTHORIZED")throw new UnauthorizedError;return await this. _startOrAuthSse({resumptionToken:void 0})}async _commonHeaders(){const headers={};if(this._authProvider){const tokens=await this._authProvider.tokens();tokens&&(headers.Authorization=`Bearer ${tokens.access_token}`)}this._sessionId&&(headers["mcp-session-id"]=this._sessionId),this._protocolVersion&&(headers["mcp-protocol-version"]=this._protocolVersion);const extraHeaders=normalizeHeaders(this._requestInit?.headers);return new Headers({...headers,...extraHeaders})}async _startOrAuthSse(options){ @@ -4962,7 +5014,7 @@ stream")){__privateMethod2(this,_EventSource_instances,failConnection_fn).call(t call(this,"Invalid response body, expected a web ReadableStream",status),this.close();return}const decoder=new TextDecoder,reader=body2.getReader();let open2=!0;do{const{done,value}=await reader.read();value&&__privateGet2(this,_parser).feed(decoder.decode(value,{stream:!done})),done&&(open2=!1,__privateGet2(this,_parser).reset(),__privateMethod2(this,_EventSource_instances,scheduleReconnect_fn).call(this))}while(open2)}),__privateAdd2(this,_onFetchError,err=>{__privateSet2(this,_controller,void 0), !(err.name==="AbortError"||err.type==="aborted")&&__privateMethod2(this,_EventSource_instances,scheduleReconnect_fn).call(this,flattenError(err))}),__privateAdd2(this,_onEvent,event2=>{typeof event2.id=="string"&&__privateSet2(this,_lastEventId,event2.id);const messageEvent=new MessageEvent(event2.event||"message",{data:event2.data,origin:__privateGet2(this,_redirectUrl)?__privateGet2(this,_redirectUrl).origin:__privateGet2(this,_url$1).origin,lastEventId:event2.id||""});__privateGet2(this,_onMessage)&& (!event2.event||event2.event==="message")&&__privateGet2(this,_onMessage).call(this,messageEvent),this.dispatchEvent(messageEvent)}),__privateAdd2(this,_onRetryChange,value=>{__privateSet2(this,_reconnectInterval,value)}),__privateAdd2(this,_reconnect,()=>{__privateSet2(this,_reconnectTimer,void 0),__privateGet2(this,_readyState)===this.CONNECTING&&__privateMethod2(this,_EventSource_instances,connect_fn).call(this)});try{if(url2 instanceof URL)__privateSet2(this,_url$1,url2);else if(typeof url2== -"string")__privateSet2(this,_url$1,new URL(url2,getBaseURL()));else throw new Error("Invalid URL")}catch{throw syntaxError("An invalid or illegal string was specified")}__privateSet2(this,_parser,createParser$1({onEvent:__privateGet2(this,_onEvent),onRetry:__privateGet2(this,_onRetryChange)})),__privateSet2(this,_readyState,this.CONNECTING),__privateSet2(this,_reconnectInterval,3e3),__privateSet2(this,_fetch,(_a2=eventSourceInitDict?.fetch)!=null?_a2:globalThis.fetch),__privateSet2(this,_withCredentials, +"string")__privateSet2(this,_url$1,new URL(url2,getBaseURL()));else throw new Error("Invalid URL")}catch{throw syntaxError("An invalid or illegal string was specified")}__privateSet2(this,_parser,createParser({onEvent:__privateGet2(this,_onEvent),onRetry:__privateGet2(this,_onRetryChange)})),__privateSet2(this,_readyState,this.CONNECTING),__privateSet2(this,_reconnectInterval,3e3),__privateSet2(this,_fetch,(_a2=eventSourceInitDict?.fetch)!=null?_a2:globalThis.fetch),__privateSet2(this,_withCredentials, (_b=eventSourceInitDict?.withCredentials)!=null?_b:!1),__privateMethod2(this,_EventSource_instances,connect_fn).call(this)}get readyState(){return __privateGet2(this,_readyState)}get url(){return __privateGet2(this,_url$1).href}get withCredentials(){return __privateGet2(this,_withCredentials)}get onerror(){return __privateGet2(this,_onError)}set onerror(value){__privateSet2(this,_onError,value)}get onmessage(){return __privateGet2(this,_onMessage)}set onmessage(value){__privateSet2(this,_onMessage, value)}get onopen(){return __privateGet2(this,_onOpen)}set onopen(value){__privateSet2(this,_onOpen,value)}addEventListener(type2,listener,options){const listen2=listener;super.addEventListener(type2,listen2,options)}removeEventListener(type2,listener,options){const listen2=listener;super.removeEventListener(type2,listen2,options)}close(){__privateGet2(this,_reconnectTimer)&&clearTimeout(__privateGet2(this,_reconnectTimer)),__privateGet2(this,_readyState)!==this.CLOSED&&(__privateGet2(this,_controller)&& __privateGet2(this,_controller).abort(),__privateSet2(this,_readyState,this.CLOSED),__privateSet2(this,_controller,void 0))}}_readyState=new WeakMap,_url$1=new WeakMap,_redirectUrl=new WeakMap,_withCredentials=new WeakMap,_fetch=new WeakMap,_reconnectInterval=new WeakMap,_reconnectTimer=new WeakMap,_lastEventId=new WeakMap,_controller=new WeakMap,_parser=new WeakMap,_onError=new WeakMap,_onMessage=new WeakMap,_onOpen=new WeakMap,_EventSource_instances=new WeakSet,connect_fn=function(){__privateSet2( @@ -4993,17 +5045,17 @@ const durationMs=Math.round(performance.now()-startedAt);throw logIfEnabled(this error2.code===404}static createTransport(serverName,config2,onLog){if(!config2.url)throw new Error("MCP server configuration is missing url");const useProxy=config2.useProxy??!1,requestInit={};if(config2.headers&&(requestInit.headers=config2.useProxy?buildProxiedHeaders(config2.headers):config2.headers),useProxy&&(requestInit.headers={...getAuthHeaders(),...requestInit.headers}),config2.credentials&&(requestInit.credentials=config2.credentials),config2.transport===MCPTransportType.WEBSOCKET){if(useProxy) throw new Error("WebSocket transport is not supported when using CORS proxy. Use HTTP transport instead.");const url22=new URL(config2.url);return{transport:new WebSocketClientTransport(url22),type:MCPTransportType.WEBSOCKET,stopPhaseLogging:()=>{}}}const url2=useProxy?buildProxiedUrl(config2.url):new URL(config2.url),{fetch:diagnosticFetch,disable:stopPhaseLogging}=this.createDiagnosticFetch(serverName,config2,requestInit,url2,useProxy,onLog);try{return{transport:new StreamableHTTPClientTransport( url2,{requestInit,fetch:diagnosticFetch}),type:MCPTransportType.STREAMABLE_HTTP,stopPhaseLogging}}catch(httpError){console.warn("[MCPService] StreamableHTTP failed, trying SSE transport...",httpError);try{return{transport:new SSEClientTransport(url2,{requestInit,fetch:diagnosticFetch,eventSourceInit:{fetch:diagnosticFetch}}),type:MCPTransportType.SSE,stopPhaseLogging}}catch(sseError){const httpMsg=httpError instanceof Error?httpError.message:String(httpError),sseMsg=sseError instanceof Error?sseError. -message:String(sseError);throw new Error(`Failed to create transport. StreamableHTTP: ${httpMsg}; SSE: ${sseMsg}`)}}}static extractServerInfo(impl){if(impl)return{name:impl.name,version:impl.version,title:impl.title,description:impl.description,websiteUrl:impl.websiteUrl,icons:impl.icons?.map(icon=>({src:icon.src,mimeType:icon.mimeType,sizes:icon.sizes}))}}static async connect(serverName,serverConfig,clientInfo,capabilities,onPhase,listChangedHandlers){const startTime=performance.now(),effectiveClientInfo=clientInfo?? -DEFAULT_MCP_CONFIG.clientInfo,effectiveCapabilities=capabilities??DEFAULT_MCP_CONFIG.capabilities;onPhase?.(MCPConnectionPhase.TRANSPORT_CREATING,this.createLog(MCPConnectionPhase.TRANSPORT_CREATING,`Creating transport for ${serverConfig.url}`));const{transport,type:transportType,stopPhaseLogging}=this.createTransport(serverName,serverConfig,log=>onPhase?.(log.phase,log));transportType===MCPTransportType.WEBSOCKET&&(transport.onclose=()=>{console.log(`[MCPService][${serverName}] WebSocket closed\ -, notifying for reconnection`),onPhase?.(MCPConnectionPhase.DISCONNECTED,this.createLog(MCPConnectionPhase.DISCONNECTED,"WebSocket connection closed"))}),onPhase?.(MCPConnectionPhase.TRANSPORT_READY,this.createLog(MCPConnectionPhase.TRANSPORT_READY,`Transport ready (${transportType})`),{transportType});const client=new Client({name:effectiveClientInfo.name,version:effectiveClientInfo.version??DEFAULT_CLIENT_VERSION},{capabilities:effectiveCapabilities,listChanged:listChangedHandlers}),runtimeErrorHandler=error2=>{ -console.error(`[MCPService][${serverName}] Protocol error after initialize:`,error2)};client.onerror=error2=>{onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Protocol error: ${error2.message}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2)}))},onPhase?.(MCPConnectionPhase.INITIALIZING,this.createLog(MCPConnectionPhase.INITIALIZING,"Sending initialize request...")),console.log(`[MCPService][${serverName}] Connecting to server...`);try{await client.connect(transport), -stopPhaseLogging(),client.onerror=runtimeErrorHandler}catch(error2){client.onerror=runtimeErrorHandler;const url2=serverConfig.useProxy??!1?buildProxiedUrl(serverConfig.url):new URL(serverConfig.url);throw onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Connection failed during initialize: ${error2 instanceof Error?error2.message:String(error2)}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2),config:{serverName,configuredUrl:serverConfig.url,effectiveUrl:url2.href, -transportType,useProxy:serverConfig.useProxy??!1,headers:sanitizeHeaders(serverConfig.headers,Object.keys(serverConfig.headers??{}),MCP_PARTIAL_REDACT_HEADERS),credentials:serverConfig.credentials},browser:this.getBrowserContext(url2,serverConfig.useProxy??!1),hints:this.getConnectionHints(url2,serverConfig,error2)})),error2}const serverVersion=client.getServerVersion(),serverCapabilities=client.getServerCapabilities(),instructions=client.getInstructions(),serverInfo=this.extractServerInfo(serverVersion); -onPhase?.(MCPConnectionPhase.CAPABILITIES_EXCHANGED,this.createLog(MCPConnectionPhase.CAPABILITIES_EXCHANGED,"Capabilities exchanged successfully",MCPLogLevel.INFO,{serverCapabilities,serverInfo}),{serverInfo,serverCapabilities,clientCapabilities:effectiveCapabilities,instructions}),onPhase?.(MCPConnectionPhase.LISTING_TOOLS,this.createLog(MCPConnectionPhase.LISTING_TOOLS,"Listing available tools...")),console.log(`[MCPService][${serverName}] Connected, listing tools...`);const tools=await this. -listTools({client,transport,tools:[],serverName,transportType,connectionTimeMs:0}),connectionTimeMs=Math.round(performance.now()-startTime);return onPhase?.(MCPConnectionPhase.CONNECTED,this.createLog(MCPConnectionPhase.CONNECTED,`Connection established with ${tools.length} tools (${connectionTimeMs}ms)`)),console.log(`[MCPService][${serverName}] Initialization complete with ${tools.length} tools in ${connectionTimeMs}ms`),{client,transport,tools,serverName,transportType,serverInfo,serverCapabilities, -clientCapabilities:effectiveCapabilities,protocolVersion:DEFAULT_MCP_CONFIG.protocolVersion,instructions,connectionTimeMs}}static async disconnect(connection){console.log(`[MCPService][${connection.serverName}] Disconnecting...`);try{connection.transport.onclose&&(connection.transport.onclose=void 0),await connection.client.close()}catch(error2){console.warn(`[MCPService][${connection.serverName}] Error during disconnect:`,error2)}}static async listTools(connection){try{return(await connection.client. -listTools()).tools??[]}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list tools:`,error2),[]}}static async listPrompts(connection){try{return(await connection.client.listPrompts()).prompts??[]}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list prompts:`,error2),[]}}static async getPrompt(connection,name,args){try{return await connection. -client.getPrompt({name,arguments:args})}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to get prompt:`,error2),error2}}static async callTool(connection,params,signal){throwIfAborted(signal);try{const result=await connection.client.callTool({name:params.name,arguments:params.arguments},void 0,{signal});return{content:this.formatToolResult(result),isError:result.isError??!1}}catch(error2){if(isAbortError(error2)||this.isSessionExpiredError(error2))throw error2;const message=error2 instanceof +message:String(sseError);throw new Error(`Failed to create transport. StreamableHTTP: ${httpMsg}; SSE: ${sseMsg}`)}}}static extractServerInfo(impl){if(impl)return{name:impl.name,version:impl.version,title:impl.title,description:impl.description,websiteUrl:impl.websiteUrl,icons:impl.icons?.map(icon=>({src:icon.src,mimeType:icon.mimeType,sizes:icon.sizes,theme:icon.theme}))}}static async connect(serverName,serverConfig,clientInfo,capabilities,onPhase,listChangedHandlers){const startTime=performance. +now(),effectiveClientInfo=clientInfo??DEFAULT_MCP_CONFIG.clientInfo,effectiveCapabilities=capabilities??DEFAULT_MCP_CONFIG.capabilities;onPhase?.(MCPConnectionPhase.TRANSPORT_CREATING,this.createLog(MCPConnectionPhase.TRANSPORT_CREATING,`Creating transport for ${serverConfig.url}`));const{transport,type:transportType,stopPhaseLogging}=this.createTransport(serverName,serverConfig,log=>onPhase?.(log.phase,log));transportType===MCPTransportType.WEBSOCKET&&(transport.onclose=()=>{console.log(`[MCPSe\ +rvice][${serverName}] WebSocket closed, notifying for reconnection`),onPhase?.(MCPConnectionPhase.DISCONNECTED,this.createLog(MCPConnectionPhase.DISCONNECTED,"WebSocket connection closed"))}),onPhase?.(MCPConnectionPhase.TRANSPORT_READY,this.createLog(MCPConnectionPhase.TRANSPORT_READY,`Transport ready (${transportType})`),{transportType});const client=new Client({name:effectiveClientInfo.name,version:effectiveClientInfo.version??DEFAULT_CLIENT_VERSION},{capabilities:effectiveCapabilities,listChanged:listChangedHandlers}), +runtimeErrorHandler=error2=>{console.error(`[MCPService][${serverName}] Protocol error after initialize:`,error2)};client.onerror=error2=>{onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Protocol error: ${error2.message}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2)}))},onPhase?.(MCPConnectionPhase.INITIALIZING,this.createLog(MCPConnectionPhase.INITIALIZING,"Sending initialize request..."));try{await client.connect(transport),stopPhaseLogging(),client.onerror= +runtimeErrorHandler}catch(error2){client.onerror=runtimeErrorHandler;const url2=serverConfig.useProxy??!1?buildProxiedUrl(serverConfig.url):new URL(serverConfig.url);throw onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Connection failed during initialize: ${error2 instanceof Error?error2.message:String(error2)}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2),config:{serverName,configuredUrl:serverConfig.url,effectiveUrl:url2.href,transportType,useProxy:serverConfig. +useProxy??!1,headers:sanitizeHeaders(serverConfig.headers,Object.keys(serverConfig.headers??{}),MCP_PARTIAL_REDACT_HEADERS),credentials:serverConfig.credentials},browser:this.getBrowserContext(url2,serverConfig.useProxy??!1),hints:this.getConnectionHints(url2,serverConfig,error2)})),error2}const serverVersion=client.getServerVersion(),serverCapabilities=client.getServerCapabilities(),instructions=client.getInstructions(),serverInfo=this.extractServerInfo(serverVersion);onPhase?.(MCPConnectionPhase. +CAPABILITIES_EXCHANGED,this.createLog(MCPConnectionPhase.CAPABILITIES_EXCHANGED,"Capabilities exchanged successfully",MCPLogLevel.INFO,{serverCapabilities,serverInfo}),{serverInfo,serverCapabilities,clientCapabilities:effectiveCapabilities,instructions}),onPhase?.(MCPConnectionPhase.LISTING_TOOLS,this.createLog(MCPConnectionPhase.LISTING_TOOLS,"Listing available tools...")),console.log(`[MCPService][${serverName}] Connected, listing tools...`);const tools=await this.listTools({client,transport,tools:[], +serverName,transportType,connectionTimeMs:0}),connectionTimeMs=Math.round(performance.now()-startTime);return onPhase?.(MCPConnectionPhase.CONNECTED,this.createLog(MCPConnectionPhase.CONNECTED,`Connection established with ${tools.length} tools (${connectionTimeMs}ms)`)),console.log(`[MCPService][${serverName}] Initialization complete with ${tools.length} tools in ${connectionTimeMs}ms`),{client,transport,tools,serverName,transportType,serverInfo,serverCapabilities,clientCapabilities:effectiveCapabilities, +protocolVersion:DEFAULT_MCP_CONFIG.protocolVersion,instructions,connectionTimeMs}}static async disconnect(connection){console.log(`[MCPService][${connection.serverName}] Disconnecting...`);try{connection.transport.onclose&&(connection.transport.onclose=void 0),await connection.client.close()}catch(error2){console.warn(`[MCPService][${connection.serverName}] Error during disconnect:`,error2)}}static async listTools(connection){try{return(await connection.client.listTools()).tools??[]}catch(error2){ +if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list tools:`,error2),[]}}static async listPrompts(connection){try{return(await connection.client.listPrompts()).prompts??[]}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list prompts:`,error2),[]}}static async getPrompt(connection,name,args){try{return await connection.client.getPrompt({name, +arguments:args})}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to get prompt:`,error2),error2}}static async callTool(connection,params,signal){throwIfAborted(signal);try{const result=await connection.client.callTool({name:params.name,arguments:params.arguments},void 0,{signal});return{content:this.formatToolResult(result),isError:result.isError??!1}}catch(error2){if(isAbortError(error2)||this.isSessionExpiredError(error2))throw error2;const message=error2 instanceof Error?error2.message:String(error2);throw new Error(`Tool "${params.name}" execution failed on server "${connection.serverName}": ${message}`,{cause:error2 instanceof Error?error2:void 0})}}static formatToolResult(result){const content2=result.content;return Array.isArray(content2)?content2.map(item=>this.formatSingleContent(item)).filter(Boolean).join(` `):""}static formatSingleContent(content2){if(content2.type===MCPContentType.TEXT&&content2.text)return content2.text;if(content2.type===MCPContentType.IMAGE&&content2.data)return createBase64DataUrl(content2.mimeType??DEFAULT_IMAGE_MIME_TYPE,content2.data);if(content2.type===MCPContentType.RESOURCE&&content2.resource){const resource=content2.resource;return resource.text?resource.text:resource.blob?resource.blob:JSON.stringify(resource)}return content2.data&&content2.mimeType?createBase64DataUrl( content2.mimeType,content2.data):JSON.stringify(content2)}static async complete(connection,ref2,argument){try{return(await connection.client.complete({ref:ref2,argument})).completion}catch(error2){return console.error("[MCPService] Failed to get completions:",error2),null}}static async listResources(connection,cursor){try{const result=await connection.client.listResources(cursor?{cursor}:void 0);return{resources:result.resources??[],nextCursor:result.nextCursor}}catch(error2){if(this.isSessionExpiredError( @@ -5034,49 +5086,8 @@ ${content2.text}`):"blob"in content2&&content2.blob&&parts.push(` --- Resource: ${resourceName} (from ${serverName}) --- [${BINARY_CONTENT_LABEL}: ${content2.mimeType||RESOURCE_UNKNOWN_TYPE}]`)}return parts.join("")}toMessageExtras(){const extras=[];for(const attachment of this._attachments){if(attachment.error||!attachment.content||attachment.content.length===0)continue;const resourceName=attachment.resource.title||attachment.resource.name,contentParts=[];for(const content2 of attachment.content)"text"in content2&&content2.text?contentParts.push(content2.text):"blob"in content2&&content2.blob&&contentParts.push(`\ [${BINARY_CONTENT_LABEL}: ${content2.mimeType||RESOURCE_UNKNOWN_TYPE}]`);contentParts.length>0&&extras.push({type:AttachmentType.MCP_RESOURCE,name:resourceName,uri:attachment.resource.uri,serverName:attachment.resource.serverName,content:contentParts.join(NEWLINE_SEPARATOR),mimeType:attachment.resource.mimeType})}return extras}}const mcpResourceStore=new MCPResourceStore,mcpResources=()=>mcpResourceStore.serverResources,mcpResourceAttachments=()=>mcpResourceStore.attachments,mcpHasResourceAttachments=()=>mcpResourceStore. -hasAttachments,mcpTotalResourceCount=()=>mcpResourceStore.totalResourceCount,mcpResourcesLoading=()=>mcpResourceStore.isLoading,defaultWindow$1=typeof window<"u"?window:void 0;function getActiveElement$1(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}let ActiveElement$1=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$1, -document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement$1(this.#document):null}};new ActiveElement$1;function runEffect(flush,effect2){switch(flush){case"post":user_effect(effect2);break;case"pre":user_pre_effect( -effect2);break}}function runWatcher(sources,flush,effect2,options={}){const{lazy=!1}=options;let active=!lazy,previousValues=Array.isArray(sources)?[]:void 0;runEffect(flush,()=>{const values=Array.isArray(sources)?sources.map(source2=>source2()):sources();if(!active){active=!0,previousValues=values;return}const cleanup=untrack$1(()=>effect2(values,previousValues));return previousValues=values,cleanup})}function watch(sources,effect2,options){runWatcher(sources,"post",effect2,options)}function watchPre(sources,effect2,options){ -runWatcher(sources,"pre",effect2,options)}watch.pre=watchPre;function getStorage(storageType,window2){switch(storageType){case"local":return window2.localStorage;case"session":return window2.sessionStorage}}class PersistedState{#current;#key;#serializer;#storage;#subscribe;#version=state$1(0);constructor(key2,initialValue,options={}){const{storage:storageType="local",serializer:serializer2={serialize:JSON.stringify,deserialize:JSON.parse},syncTabs=!0,window:window2=defaultWindow$1}=options;if(this.#current= -initialValue,this.#key=key2,this.#serializer=serializer2,window2===void 0)return;const storage=getStorage(storageType,window2);this.#storage=storage;const existingValue=storage.getItem(key2);existingValue!==null?this.#current=this.#deserialize(existingValue):this.#serialize(initialValue),syncTabs&&storageType==="local"&&(this.#subscribe=createSubscriber(()=>on(window2,"storage",this.#handleStorageEvent)))}get current(){this.#subscribe?.(),get$3(this.#version);const root2=this.#deserialize(this.#storage?. -getItem(this.#key))??this.#current,proxies=new WeakMap,proxy2=value=>{if(value===null||value?.constructor.name==="Date"||typeof value!="object")return value;let p2=proxies.get(value);return p2||(p2=new Proxy(value,{get:(target2,property)=>(get$3(this.#version),proxy2(Reflect.get(target2,property))),set:(target2,property,value2)=>(set$1(this.#version,get$3(this.#version)+1),Reflect.set(target2,property,value2),this.#serialize(root2),!0)}),proxies.set(value,p2)),p2};return proxy2(root2)}set current(newValue){ -this.#serialize(newValue),set$1(this.#version,get$3(this.#version)+1)}#handleStorageEvent=event2=>{event2.key!==this.#key||event2.newValue===null||(this.#current=this.#deserialize(event2.newValue),set$1(this.#version,get$3(this.#version)+1))};#deserialize(value){try{return this.#serializer.deserialize(value)}catch(error2){console.error(`Error when parsing "${value}" from persisted store "${this.#key}"`,error2);return}}#serialize(value){try{value!=null&&this.#storage?.setItem(this.#key,this.#serializer. -serialize(value))}catch(error2){console.error(`Error when writing value from persisted store "${this.#key}" to ${this.#storage}`,error2)}}}function sanitizeClassNames(classNames){return classNames.filter(className=>className.length>0)}const noopStorage={getItem:_key=>null,setItem:(_key,_value)=>{}},isBrowser=typeof document<"u";function isFunction(value){return typeof value=="function"}function isObject(value){return value!==null&&typeof value=="object"}const BoxSymbol=Symbol("box"),isWritableSymbol=Symbol( -"is-writable");function isBox(value){return isObject(value)&&BoxSymbol in value}function isWritableBox(value){return box.isBox(value)&&isWritableSymbol in value}function box(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}}function boxWith(getter,setter){const derived2=user_derived(getter);return setter?{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$3(derived2)}, -set current(v){setter(v)}}:{[BoxSymbol]:!0,get current(){return getter()}}}function boxFrom(value){return box.isBox(value)?value:isFunction(value)?box.with(value):box(value)}function boxFlatten(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>box.isBox(b)?(box.isWritableBox(b)?Object.defineProperty(acc,key2,{get(){return b.current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox(b){return box. -isWritableBox(b)?{[BoxSymbol]:!0,get current(){return b.current}}:b}box.from=boxFrom;box.with=boxWith;box.flatten=boxFlatten;box.readonly=toReadonlyBox;box.isBox=isBox;box.isWritableBox=isWritableBox;function createParser(matcher,replacer){const regex=RegExp(matcher,"g");return str=>{if(typeof str!="string")throw new TypeError(`expected an argument of type string, but got ${typeof str}`);return str.match(regex)?str.replace(regex,replacer):str}}const camelToKebab=createParser(/[A-Z]/,match=>`-${match. -toLowerCase()}`);function styleToCSS(styleObj){if(!styleObj||typeof styleObj!="object"||Array.isArray(styleObj))throw new TypeError(`expected an argument of type object, but got ${typeof styleObj}`);return Object.keys(styleObj).map(property=>`${camelToKebab(property)}: ${styleObj[property]};`).join(` -`)}function styleToString(style2={}){return styleToCSS(style2).replace(` -`," ")}const srOnlyStyles={position:"absolute",width:"1px",height:"1px",padding:"0",margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",whiteSpace:"nowrap",borderWidth:"0",transform:"translateX(-100%)"};styleToString(srOnlyStyles);const defaultWindow=typeof window<"u"?window:void 0;function getActiveElement(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2} -return activeElement}class ActiveElement4{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement(this.#document):null}}new ActiveElement4; -const modeStorageKey=box("mode-watcher-mode"),themeStorageKey=box("mode-watcher-theme"),modes=["dark","light","system"];function isValidMode(value){return typeof value!="string"?!1:modes.includes(value)}class UserPrefersMode{#defaultValue="system";#storage=isBrowser?localStorage:noopStorage;#initialValue=this.#storage.getItem(modeStorageKey.current);#value=isValidMode(this.#initialValue)?this.#initialValue:this.#defaultValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){ -return new PersistedState(modeStorageKey.current,value,{serializer:{serialize:v=>v,deserialize:v=>isValidMode(v)?v:this.#defaultValue}})}constructor(){effect_root(()=>watch.pre(()=>modeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$3(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$3(this.#persisted).current}set current(newValue){get$3(this.#persisted).current= -newValue}}class SystemPrefersMode{#defaultValue=void 0;#track=!0;#current=state$1(proxy(this.#defaultValue));#mediaQueryState=typeof window<"u"&&typeof window.matchMedia=="function"?new MediaQuery("prefers-color-scheme: light"):{current:!1};query(){isBrowser&&set$1(this.#current,this.#mediaQueryState.current?"light":"dark",!0)}tracking(active){this.#track=active}constructor(){effect_root(()=>{user_pre_effect(()=>{this.#track&&this.query()})}),this.query=this.query.bind(this),this.tracking=this.tracking. -bind(this)}get current(){return get$3(this.#current)}}const userPrefersMode=new UserPrefersMode,systemPrefersMode=new SystemPrefersMode;class CustomTheme{#storage=isBrowser?localStorage:noopStorage;#initialValue=this.#storage.getItem(themeStorageKey.current);#value=this.#initialValue===null||this.#initialValue===void 0?"":this.#initialValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){return new PersistedState(themeStorageKey.current,value,{serializer:{serialize:v=>typeof v!= -"string"?"":v,deserialize:v=>v}})}constructor(){effect_root(()=>watch.pre(()=>themeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$3(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$3(this.#persisted).current}set current(newValue){get$3(this.#persisted).current=newValue}}const customTheme=new CustomTheme;let timeoutAction,timeoutEnable,hasLoaded=!1,styleElement=null; -function getStyleElement(){return styleElement||(styleElement=document.createElement("style"),styleElement.appendChild(document.createTextNode(`* { - -webkit-transition: none !important; - -moz-transition: none !important; - -o-transition: none !important; - -ms-transition: none !important; - transition: none !important; - }`)),styleElement)}function withoutTransition(action2,synchronous=!1){if(typeof document>"u")return;if(!hasLoaded){hasLoaded=!0,action2();return}if(typeof window<"u"&&window.__vitest_worker__){action2();return}clearTimeout(timeoutAction),clearTimeout(timeoutEnable);const style2=getStyleElement(),disable2=()=>document.head.appendChild(style2),enable=()=>{style2.parentNode&&document.head.removeChild(style2)};function executeAction(){action2(),window.requestAnimationFrame(enable)}if(typeof window. -requestAnimationFrame<"u"){disable2(),synchronous?executeAction():window.requestAnimationFrame(()=>{executeAction()});return}disable2(),timeoutAction=window.setTimeout(()=>{action2(),timeoutEnable=window.setTimeout(enable,16)},16)}const themeColors=box(void 0),disableTransitions=box(!0),synchronousModeChanges=box(!1),darkClassNames=box([]),lightClassNames=box([]);function createDerivedMode(){const current2=user_derived(()=>{if(!isBrowser)return;const derivedMode2=userPrefersMode.current==="syste\ -m"?systemPrefersMode.current:userPrefersMode.current,sanitizedDarkClassNames=sanitizeClassNames(darkClassNames.current),sanitizedLightClassNames=sanitizeClassNames(lightClassNames.current);function update2(){const htmlEl=document.documentElement,themeColorEl=document.querySelector('meta[name="theme-color"]');derivedMode2==="light"?(sanitizedDarkClassNames.length&&htmlEl.classList.remove(...sanitizedDarkClassNames),sanitizedLightClassNames.length&&htmlEl.classList.add(...sanitizedLightClassNames), -htmlEl.style.colorScheme="light",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.light)):(sanitizedLightClassNames.length&&htmlEl.classList.remove(...sanitizedLightClassNames),sanitizedDarkClassNames.length&&htmlEl.classList.add(...sanitizedDarkClassNames),htmlEl.style.colorScheme="dark",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.dark))}return disableTransitions.current?withoutTransition(update2,synchronousModeChanges. -current):update2(),derivedMode2});return{get current(){return get$3(current2)}}}function createDerivedTheme(){const current2=user_derived(()=>{if(customTheme.current,!isBrowser)return;function update2(){document.documentElement.setAttribute("data-theme",customTheme.current)}return disableTransitions.current?withoutTransition(update2,untrack$1(()=>synchronousModeChanges.current)):update2(),customTheme.current});return{get current(){return get$3(current2)}}}const derivedMode=createDerivedMode(),derivedTheme=createDerivedTheme(); -function setMode(mode){userPrefersMode.current=mode}function setTheme(newTheme){customTheme.current=newTheme}function setInitialMode({defaultMode="system",themeColors:themeColors2,darkClassNames:darkClassNames2=["dark"],lightClassNames:lightClassNames2=[],defaultTheme="",modeStorageKey:modeStorageKey2="mode-watcher-mode",themeStorageKey:themeStorageKey2="mode-watcher-theme"}){const rootEl=document.documentElement,mode=localStorage.getItem(modeStorageKey2)??defaultMode,theme=localStorage.getItem(themeStorageKey2)??defaultTheme,light=mode==="light"||mode==="system"&&window.matchMedia("(prefers-color-sche\ -me: light)").matches;if(light?(darkClassNames2.length&&rootEl.classList.remove(...darkClassNames2.filter(Boolean)),lightClassNames2.length&&rootEl.classList.add(...lightClassNames2.filter(Boolean))):(lightClassNames2.length&&rootEl.classList.remove(...lightClassNames2.filter(Boolean)),darkClassNames2.length&&rootEl.classList.add(...darkClassNames2.filter(Boolean))),rootEl.style.colorScheme=light?"light":"dark",themeColors2){const themeMetaEl=document.querySelector('meta[name="theme-color"]');themeMetaEl&& -themeMetaEl.setAttribute("content",mode==="light"?themeColors2.light:themeColors2.dark)}theme&&(rootEl.setAttribute("data-theme",theme),localStorage.setItem(themeStorageKey2,theme)),localStorage.setItem(modeStorageKey2,mode)}var root_1$Y=from_html('');function Mode_watcher_lite($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var meta=root_1$Y();template_effect(()=>set_attribute(meta,"content",$$props. -themeColors.dark)),append($$anchor2,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1c=from_html(''),root_1$X=from_html(" ",1);function Mode_watcher_full($$anchor,$$props){push$1($$props,!0);let trueNonce=prop($$props,"trueNonce",3,"");head$1("1funsus",$$anchor2=>{var fragment=root_1$X(),node2=first_child(fragment);{var consequent=$$anchor3=>{var meta=root_2$1c();template_effect(()=>set_attribute( -meta,"content",$$props.themeColors.dark)),append($$anchor3,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}var node_1=sibling(node2,2);html$6(node_1,()=>`(`+setInitialMode.toString()+")("+JSON.stringify($$props.initConfig)+");<\/script>"),append($$anchor2,fragment)}),pop()}function Mode_watcher($$anchor,$$props){push$1($$props,!0);let track2=prop($$props,"track",3,!0),defaultMode=prop($$props,"defaultMode",3,"system"), -disableTransitionsProp=prop($$props,"disableTransitions",3,!0),darkClassNamesProp=prop($$props,"darkClassNames",19,()=>["dark"]),lightClassNamesProp=prop($$props,"lightClassNames",19,()=>[]),defaultTheme=prop($$props,"defaultTheme",3,""),nonce=prop($$props,"nonce",3,""),themeStorageKeyProp=prop($$props,"themeStorageKey",3,"mode-watcher-theme"),modeStorageKeyProp=prop($$props,"modeStorageKey",3,"mode-watcher-mode"),disableHeadScriptInjection=prop($$props,"disableHeadScriptInjection",3,!1),synchronousModeChangesProp=prop( -$$props,"synchronousModeChanges",3,!1);modeStorageKey.current=modeStorageKeyProp(),themeStorageKey.current=themeStorageKeyProp(),darkClassNames.current=darkClassNamesProp(),lightClassNames.current=lightClassNamesProp(),disableTransitions.current=disableTransitionsProp(),themeColors.current=$$props.themeColors,synchronousModeChanges.current=synchronousModeChangesProp(),user_pre_effect(()=>{synchronousModeChanges.current=synchronousModeChangesProp()}),user_pre_effect(()=>{disableTransitions.current= -disableTransitionsProp()}),user_pre_effect(()=>{themeColors.current=$$props.themeColors}),user_pre_effect(()=>{darkClassNames.current=darkClassNamesProp()}),user_pre_effect(()=>{lightClassNames.current=lightClassNamesProp()}),user_pre_effect(()=>{modeStorageKey.current=modeStorageKeyProp()}),user_pre_effect(()=>{themeStorageKey.current=themeStorageKeyProp()}),user_pre_effect(()=>{derivedMode.current,modeStorageKey.current,themeStorageKey.current,derivedTheme.current}),onMount$1(()=>{systemPrefersMode. -tracking(track2()),systemPrefersMode.query();const localStorageMode=localStorage.getItem(modeStorageKey.current);setMode(isValidMode(localStorageMode)?localStorageMode:defaultMode());const localStorageTheme=localStorage.getItem(themeStorageKey.current);setTheme(localStorageTheme||defaultTheme())});const initConfig={defaultMode:defaultMode(),themeColors:$$props.themeColors,darkClassNames:darkClassNamesProp(),lightClassNames:lightClassNamesProp(),defaultTheme:defaultTheme(),modeStorageKey:modeStorageKeyProp(), -themeStorageKey:themeStorageKeyProp()},trueNonce=user_derived(()=>typeof window>"u"?nonce():"");var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Mode_watcher_lite($$anchor2,{get themeColors(){return themeColors.current}})},alternate=$$anchor2=>{Mode_watcher_full($$anchor2,{get trueNonce(){return get$3(trueNonce)},get initConfig(){return initConfig},get themeColors(){return themeColors.current}})};if_block(node2,$$render=>{disableHeadScriptInjection()?$$render(consequent): -$$render(alternate,-1)})}append($$anchor,fragment),pop()}class MCPStore{#_isInitializing=state$1(!1);get _isInitializing(){return get$3(this.#_isInitializing)}set _isInitializing(value){set$1(this.#_isInitializing,value,!0)}#_error=state$1(null);get _error(){return get$3(this.#_error)}set _error(value){set$1(this.#_error,value,!0)}#_toolCount=state$1(0);get _toolCount(){return get$3(this.#_toolCount)}set _toolCount(value){set$1(this.#_toolCount,value,!0)}#_connectedServers=state$1(proxy([]));get _connectedServers(){ -return get$3(this.#_connectedServers)}set _connectedServers(value){set$1(this.#_connectedServers,value,!0)}#_healthChecks=state$1(proxy({}));get _healthChecks(){return get$3(this.#_healthChecks)}set _healthChecks(value){set$1(this.#_healthChecks,value,!0)}#_proxyAvailable=state$1(!1);get _proxyAvailable(){return get$3(this.#_proxyAvailable)}set _proxyAvailable(value){set$1(this.#_proxyAvailable,value,!0)}connections=new Map;toolsIndex=new Map;serverConfigs=new Map;reconnectingServers=new Set;configSignature=null;initPromise=null;activeFlowCount=0;constructor(){ +hasAttachments,mcpTotalResourceCount=()=>mcpResourceStore.totalResourceCount,mcpResourcesLoading=()=>mcpResourceStore.isLoading;class MCPStore{#_isInitializing=state$1(!1);get _isInitializing(){return get$3(this.#_isInitializing)}set _isInitializing(value){set$1(this.#_isInitializing,value,!0)}#_error=state$1(null);get _error(){return get$3(this.#_error)}set _error(value){set$1(this.#_error,value,!0)}#_toolCount=state$1(0);get _toolCount(){return get$3(this.#_toolCount)}set _toolCount(value){set$1( +this.#_toolCount,value,!0)}#_connectedServers=state$1(proxy([]));get _connectedServers(){return get$3(this.#_connectedServers)}set _connectedServers(value){set$1(this.#_connectedServers,value,!0)}#_healthChecks=state$1(proxy({}));get _healthChecks(){return get$3(this.#_healthChecks)}set _healthChecks(value){set$1(this.#_healthChecks,value,!0)}#_proxyAvailable=state$1(!1);get _proxyAvailable(){return get$3(this.#_proxyAvailable)}set _proxyAvailable(value){set$1(this.#_proxyAvailable,value,!0)}connections=new Map;toolsIndex=new Map;serverConfigs=new Map;reconnectingServers=new Set;configSignature=null;initPromise=null;activeFlowCount=0;constructor(){ this.probeProxy()}async probeProxy(){try{const response=await fetch(`${base}${CORS_PROXY_ENDPOINT}`,{method:"HEAD"});this._proxyAvailable=response.status!==404}catch{this._proxyAvailable=!1}}get isProxyAvailable(){return this._proxyAvailable}#generateServerId(id2,index2){return typeof id2=="string"&&id2.trim()?id2.trim():`${MCP_SERVER_ID_PREFIX}-${index2+1}`}#parseServerSettings(rawServers){if(!rawServers)return[];let parsed;if(typeof rawServers=="string"){const trimmed=rawServers.trim();if(!trimmed) return[];try{parsed=JSON.parse(trimmed)}catch(error2){return console.warn("[MCP] Failed to parse mcpServers JSON:",error2),[]}}else parsed=rawServers;return Array.isArray(parsed)?parsed.map((entry,index2)=>{const url2=typeof entry?.url=="string"?entry.url.trim():"",headers=typeof entry?.headers=="string"?entry.headers.trim():void 0;return{id:this.#generateServerId(entry?.id,index2),enabled:!!entry?.enabled,url:url2,name:entry?.name,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,headers:headers|| void 0,useProxy:!!entry?.useProxy}}):[]}#buildServerConfig(entry,connectionTimeoutMs=DEFAULT_MCP_CONFIG.connectionTimeoutMs){if(!entry?.url)return;let headers;if(entry.headers)try{const parsed=JSON.parse(entry.headers);typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed)&&(headers=parsed)}catch{console.warn("[MCP] Failed to parse custom headers JSON:",entry.headers)}return{url:entry.url,transport:detectMcpTransportFromUrl(entry.url),handshakeTimeoutMs:connectionTimeoutMs,requestTimeoutMs:Math. @@ -5087,117 +5098,262 @@ return this._isInitializing}get isInitialized(){return this.connections.size>0}g void 0&&(this._isInitializing=state2.isInitializing),state2.error!==void 0&&(this._error=state2.error),state2.toolCount!==void 0&&(this._toolCount=state2.toolCount),state2.connectedServers!==void 0&&(this._connectedServers=state2.connectedServers)}updateHealthCheck(serverId,state2){this._healthChecks={...this._healthChecks,[serverId]:state2}}getHealthCheckState(serverId){return this._healthChecks[serverId]??{status:HealthCheckStatus.IDLE}}hasHealthCheck(serverId){return serverId in this._healthChecks&& this._healthChecks[serverId].status!==HealthCheckStatus.IDLE}clearHealthCheck(serverId){const{[serverId]:_removed,...rest}=this._healthChecks;this._healthChecks=rest}clearAllHealthChecks(){this._healthChecks={}}clearError(){this._error=null}getServers(){return parseMcpServerSettings(config$1().mcpServers)}getConnections(){return this.connections}getServerLabel(server){const healthState=this.getHealthCheckState(server.id);return healthState?.status===HealthCheckStatus.SUCCESS&&(healthState.serverInfo?. title||healthState.serverInfo?.name||server.name)||server.url}getServerById(serverId){return this.getServers().find(s2=>s2.id===serverId)}getServerDisplayName(serverId){const server=this.getServerById(serverId);return server?this.getServerLabel(server):serverId}#isValidIconUri(src){try{return src.startsWith(UrlProtocol.DATA)?!0:new URL(src).protocol===UrlProtocol.HTTPS}catch{return!1}}#getMcpIconUrl(icons,isDark=!1){if(!icons?.length)return null;const validIcons=icons.filter(icon=>!(!icon.src||!this.#isValidIconUri( -icon.src)||icon.mimeType&&!MCP_ALLOWED_ICON_MIME_TYPES.has(icon.mimeType)));if(validIcons.length===0)return null;const preferredTheme=isDark?ColorMode.DARK:ColorMode.LIGHT,themedIcon=validIcons.find(icon=>icon.theme===preferredTheme);if(themedIcon)return this.#proxyIconSrc(themedIcon.src);const universalIcons=validIcons.filter(icon=>!icon.theme);return universalIcons.length===EXPECTED_THEMED_ICON_PAIR_COUNT?this.#proxyIconSrc(universalIcons[isDark?1:0].src):universalIcons.length>0?this.#proxyIconSrc( -universalIcons[0].src):this.#proxyIconSrc(validIcons[0].src)}#proxyIconSrc(src){return src.startsWith("data:")||!this._proxyAvailable?src:getProxiedUrlString(src)}getServerFavicon(serverId){const server=this.getServerById(serverId);if(!server)return null;const isDark=derivedMode.current===ColorMode.DARK,healthState=this.getHealthCheckState(serverId);if(healthState.status===HealthCheckStatus.SUCCESS&&healthState.serverInfo?.icons){const mcpIconUrl=this.#getMcpIconUrl(healthState.serverInfo.icons, -isDark);if(mcpIconUrl)return mcpIconUrl}return getFaviconUrl(server.url,this._proxyAvailable)}isAnyServerLoading(){return this.getServers().some(s2=>{const state2=this.getHealthCheckState(s2.id);return state2.status===HealthCheckStatus.IDLE||state2.status===HealthCheckStatus.CONNECTING})}getServersSorted(){const servers=this.getServers();return this.isAnyServerLoading()?servers:[...servers].sort((a,b)=>this.getServerLabel(a).localeCompare(this.getServerLabel(b)))}addServer(serverData){const servers=this. -getServers(),newServer={id:serverData.id||(uuid$1()??`server-${Date.now()}`),enabled:serverData.enabled,url:serverData.url.trim(),name:serverData.name,headers:serverData.headers?.trim()||void 0,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,useProxy:serverData.useProxy};settingsStore.updateConfig("mcpServers",JSON.stringify([...servers,newServer]))}updateServer(id2,updates){const servers=this.getServers();settingsStore.updateConfig("mcpServers",JSON.stringify(servers.map(server=>server. -id===id2?{...server,...updates}:server)))}removeServer(id2){const servers=this.getServers();settingsStore.updateConfig("mcpServers",JSON.stringify(servers.filter(s2=>s2.id!==id2))),this.clearHealthCheck(id2)}hasAvailableServers(){return parseMcpServerSettings(config$1().mcpServers).some(s2=>s2.enabled&&s2.url.trim())}hasEnabledServers(perChatOverrides){return!!this.#buildMcpClientConfig(config$1(),perChatOverrides)}getEnabledServersForConversation(perChatOverrides){return this.getServers().filter( -server=>this.#checkServerEnabled(server,perChatOverrides))}async ensureInitialized(perChatOverrides){const mcpConfig=this.#buildMcpClientConfig(config$1(),perChatOverrides),signature=mcpConfig?JSON.stringify(mcpConfig):null;return signature?this.isInitialized&&this.configSignature===signature?!0:this.initPromise&&this.configSignature===signature?this.initPromise:((this.connections.size>0||this.initPromise)&&await this.shutdown(),this.initialize(signature,mcpConfig)):(await this.shutdown(),!1)}async initialize(signature,mcpConfig){ -this.updateState({isInitializing:!0,error:null}),this.configSignature=signature;const serverEntries=Object.entries(mcpConfig.servers);return serverEntries.length===0?(this.updateState({isInitializing:!1,toolCount:0,connectedServers:[]}),!1):(this.initPromise=this.doInitialize(signature,mcpConfig,serverEntries),this.initPromise)}async doInitialize(signature,mcpConfig,serverEntries){const clientInfo=mcpConfig.clientInfo??DEFAULT_MCP_CONFIG.clientInfo,capabilities=mcpConfig.capabilities??DEFAULT_MCP_CONFIG. -capabilities,results=await Promise.allSettled(serverEntries.map(async([name,serverConfig])=>{this.serverConfigs.set(name,serverConfig);const listChangedHandlers=this.createListChangedHandlers(name),connection=await MCPService.connect(name,serverConfig,clientInfo,capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${name}] Connection lost, starting auto-reconnect`),this.autoReconnect(name))},listChangedHandlers);return{name,connection}}));if(this.configSignature!== -signature){for(const result of results)result.status==="fulfilled"&&await MCPService.disconnect(result.value.connection).catch(console.warn);return!1}for(const result of results)if(result.status==="fulfilled"){const{name,connection}=result.value;this.connections.set(name,connection);for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${name}". Using tool from "${name}".`), -this.toolsIndex.set(tool.name,name)}else console.error("[MCPStore] Failed to connect:",result.reason);return this.connections.size===0&&serverEntries.length>0?(this.updateState({isInitializing:!1,error:"All MCP server connections failed",toolCount:0,connectedServers:[]}),this.initPromise=null,!1):(this.updateState({isInitializing:!1,error:null,toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())}),this.initPromise=null,!0)}createListChangedHandlers(serverName){return{ -tools:{onChanged:(error2,tools)=>{if(error2){console.warn(`[MCPStore][${serverName}] Tools list changed error:`,error2);return}this.handleToolsListChanged(serverName,tools??[])}},prompts:{onChanged:error2=>{if(error2){console.warn(`[MCPStore][${serverName}] Prompts list changed error:`,error2);return}}}}}handleToolsListChanged(serverName,tools){const connection=this.connections.get(serverName);if(connection){for(const[toolName,ownerServer]of this.toolsIndex.entries())ownerServer===serverName&&this. -toolsIndex.delete(toolName);connection.tools=tools;for(const tool of tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict after list change: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverName}". Using tool from "${serverName}".`),this.toolsIndex.set(tool.name,serverName);this.updateState({toolCount:this.toolsIndex.size})}}acquireConnection(){this.activeFlowCount++}async releaseConnection(shutdownIfUnused=!1){this.activeFlowCount=Math.max(0, -this.activeFlowCount-1),shutdownIfUnused&&this.activeFlowCount===0&&await this.shutdown()}getActiveFlowCount(){return this.activeFlowCount}async shutdown(){this.initPromise&&(await this.initPromise.catch(()=>{}),this.initPromise=null),this.connections.size!==0&&(await Promise.all(Array.from(this.connections.values()).map(conn=>MCPService.disconnect(conn).catch(error2=>console.warn(`[MCPStore] Error disconnecting ${conn.serverName}:`,error2)))),this.connections.clear(),this.toolsIndex.clear(),this. -serverConfigs.clear(),this.configSignature=null,this.updateState({isInitializing:!1,error:null,toolCount:0,connectedServers:[]}))}async reconnectServer(serverName){const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig)throw new Error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);const oldConnection=this.connections.get(serverName);oldConnection&&(await MCPService.disconnect(oldConnection).catch(console.warn),this.connections.delete(serverName)),console.log(`[\ -MCPStore][${serverName}] Session expired, reconnecting with fresh session...`);const listChangedHandlers=this.createListChangedHandlers(serverName),connection=await MCPService.connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${serverName}] Connection lost, starting auto-reconnect`),this.autoReconnect(serverName))},listChangedHandlers);this.connections.set(serverName,connection); -for(const tool of connection.tools)this.toolsIndex.set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Session recovered successfully`)}async autoReconnect(serverName){if(this.reconnectingServers.has(serverName)){console.log(`[MCPStore][${serverName}] Reconnection already in progress, skipping`);return}const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig){console.error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);return}this.reconnectingServers. -add(serverName);let backoff=MCP_RECONNECT_INITIAL_DELAY,needsReconnect=!1;try{for(;;){await new Promise(resolve2=>setTimeout(resolve2,backoff)),console.log(`[MCPStore][${serverName}] Auto-reconnecting...`);try{const timeoutPromise=new Promise((_,reject)=>setTimeout(()=>reject(new Error(`Reconnect attempt timed out after ${MCP_RECONNECT_ATTEMPT_TIMEOUT_MS}ms`)),MCP_RECONNECT_ATTEMPT_TIMEOUT_MS));needsReconnect=!1;const listChangedHandlers=this.createListChangedHandlers(serverName),connectPromise=MCPService. -connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(this.reconnectingServers.has(serverName)?needsReconnect=!0:(console.log(`[MCPStore][${serverName}] Connection lost, restarting auto-reconnect`),this.autoReconnect(serverName)))},listChangedHandlers),connection=await Promise.race([connectPromise,timeoutPromise]);this.connections.set(serverName,connection);for(const tool of connection.tools)this.toolsIndex. -set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Reconnected successfully`);break}catch(error2){console.warn(`[MCPStore][${serverName}] Reconnection failed:`,error2),backoff=Math.min(backoff*MCP_RECONNECT_BACKOFF_MULTIPLIER,MCP_RECONNECT_MAX_DELAY)}}}finally{this.reconnectingServers.delete(serverName),needsReconnect&&(console.log(`[MCPStore][${serverName}] Deferred disconnect detected, restarting auto-reconnect`),this.autoReconnect(serverName))}}getToolDefinitionsForLLM(){const tools=[]; -for(const connection of this.connections.values())for(const tool of connection.tools){const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};tools.push({type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:this.normalizeSchemaProperties(rawSchema)}})}return tools}normalizeSchemaProperties(schema){if(!schema||typeof schema!="object")return schema;const normalized={...schema};if(normalized.properties&&typeof normalized.properties== -"object"){const props=normalized.properties,normalizedProps={};for(const[key2,prop2]of Object.entries(props)){if(!prop2||typeof prop2!="object"){normalizedProps[key2]=prop2;continue}const normalizedProp={...prop2};if(!normalizedProp.type&&normalizedProp.default!==void 0){const defaultVal=normalizedProp.default;typeof defaultVal=="string"?normalizedProp.type="string":typeof defaultVal=="number"?normalizedProp.type=Number.isInteger(defaultVal)?"integer":"number":typeof defaultVal=="boolean"?normalizedProp. -type="boolean":Array.isArray(defaultVal)?normalizedProp.type="array":typeof defaultVal=="object"&&defaultVal!==null&&(normalizedProp.type="object")}normalizedProp.properties&&Object.assign(normalizedProp,this.normalizeSchemaProperties(normalizedProp)),normalizedProp.items&&typeof normalizedProp.items=="object"&&(normalizedProp.items=this.normalizeSchemaProperties(normalizedProp.items)),normalizedProps[key2]=normalizedProp}normalized.properties=normalizedProps}return normalized}getToolNames(){return Array. -from(this.toolsIndex.keys())}hasTool(toolName){return this.toolsIndex.has(toolName)}getToolServer(toolName){return this.toolsIndex.get(toolName)}hasPromptsSupport(){for(const connection of this.connections.values())if(connection.serverCapabilities?.prompts)return!0;return!1}hasPromptsCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId));if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object. -entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&&connection.serverCapabilities?.prompts)return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const connection of this.connections. -values())if(connection.serverCapabilities?.prompts)return!0;return!1}async getAllPrompts(){const results=[];for(const[serverName,connection]of this.connections){if(!connection.serverCapabilities?.prompts)continue;const prompts=await MCPService.listPrompts(connection);for(const prompt of prompts)results.push({name:prompt.name,description:prompt.description,title:prompt.title,serverName,arguments:prompt.arguments?.map(arg=>({name:arg.name,description:arg.description,required:arg.required}))})}return results}async getPrompt(serverName,promptName,args){ -const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" not found for prompt "${promptName}"`);return MCPService.getPrompt(connection,promptName,args)}async executeTool(toolCall,signal){const toolName=toolCall.function.name,serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not connected`);const args=this. -parseToolArguments(toolCall.function.arguments);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer(serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error(`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}async executeToolByName(toolName,args,signal){ -const serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not connected`);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer(serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error( -`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}parseToolArguments(args){if(typeof args=="string"){const trimmed=args.trim();if(trimmed==="")return{};try{const parsed=JSON.parse(trimmed);if(typeof parsed!="object"||parsed===null||Array.isArray(parsed))throw new Error(`Tool arguments must be an object, got ${Array.isArray(parsed)?"array":typeof parsed}`);return parsed}catch(error2){throw new Error(`Failed to p\ -arse tool arguments as JSON: ${error2.message}`)}}if(typeof args=="object"&&args!==null&&!Array.isArray(args))return args;throw new Error(`Invalid tool arguments type: ${typeof args}`)}async getPromptCompletions(serverName,promptName,argumentName,argumentValue){const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService.complete(connection,{type:MCPRefType.PROMPT,name:promptName},{name:argumentName,value:argumentValue}):null:(console. -warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async getResourceCompletions(serverName,uriTemplate,argumentName,argumentValue){const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService.complete(connection,{type:MCPRefType.RESOURCE,uri:uriTemplate},{name:argumentName,value:argumentValue}):null:(console.warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async readResourceByUri(serverName,uri2){const connection=this. -connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),null;try{return(await MCPService.readResource(connection,uri2)).contents}catch(error2){return console.error(`[MCPStore] Failed to read resource ${uri2}:`,error2),null}}parseHeaders(headersJson){if(headersJson?.trim())try{const parsed=JSON.parse(headersJson);if(typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed))return parsed}catch{console.warn("[MCPStore] Failed \ -to parse custom headers JSON:",headersJson)}}async runHealthChecksForServers(servers,skipIfChecked=!0,promoteToActive=!1){const serversToCheck=skipIfChecked?servers.filter(s2=>!this.hasHealthCheck(s2.id)&&s2.url.trim()):servers.filter(s2=>s2.url.trim());if(serversToCheck.length===0)return;const BATCH_SIZE=5;for(let i=0;ithis.runHealthCheck(server,promoteToActive)))}}getExistingConnection(serverId){ -return this.connections.get(serverId)}async runHealthCheck(server,promoteToActive=!1){const existingConnection=this.connections.get(server.id);if(existingConnection)try{const tools=await MCPService.listTools(existingConnection),capabilities=this.#buildCapabilitiesInfo(existingConnection.serverCapabilities,existingConnection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools:tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})), -serverInfo:existingConnection.serverInfo,capabilities,transportType:existingConnection.transportType,protocolVersion:existingConnection.protocolVersion,instructions:existingConnection.instructions,connectionTimeMs:existingConnection.connectionTimeMs,logs:[]});return}catch(error2){console.warn(`[MCPStore] Failed to reuse connection for ${server.id}, creating new one:`,error2),this.connections.delete(server.id)}const trimmedUrl=server.url.trim(),logs=[];let currentPhase=MCPConnectionPhase.IDLE;if(!trimmedUrl){ -this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message:"Please enter a server URL first.",logs:[]});return}this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase:MCPConnectionPhase.TRANSPORT_CREATING,logs:[]});const timeoutMs=Math.round(server.requestTimeoutSeconds*1e3),headers=this.parseHeaders(server.headers);try{const serverConfig={url:trimmedUrl,transport:detectMcpTransportFromUrl(trimmedUrl),handshakeTimeoutMs:DEFAULT_MCP_CONFIG.connectionTimeoutMs,requestTimeoutMs:timeoutMs, -headers,useProxy:server.useProxy};this.serverConfigs.set(server.id,serverConfig);const connection=await MCPService.connect(server.id,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,(phase,log)=>{currentPhase=phase,logs.push(log),this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase,logs:[...logs]}),phase===MCPConnectionPhase.DISCONNECTED&&promoteToActive&&(console.log(`[MCPStore][${server.id}] Connection lost during health check, starting auto-rec\ -onnect`),this.autoReconnect(server.id))}),tools=connection.tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})),capabilities=this.#buildCapabilitiesInfo(connection.serverCapabilities,connection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools,serverInfo:connection.serverInfo,capabilities,transportType:connection.transportType,protocolVersion:connection.protocolVersion,instructions:connection.instructions,connectionTimeMs:connection. -connectionTimeMs,logs}),promoteToActive&&server.enabled?this.promoteHealthCheckToConnection(server.id,connection):await MCPService.disconnect(connection)}catch(error2){const message=error2 instanceof Error?error2.message:"Unknown error occurred";logs.at(-1)?.phase!==MCPConnectionPhase.ERROR&&logs.push({timestamp:new Date,phase:MCPConnectionPhase.ERROR,message:`Connection failed: ${message}`,level:MCPLogLevel.ERROR}),this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message,phase:currentPhase, -logs})}}promoteHealthCheckToConnection(serverId,connection){for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict during promotion: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverId}". Using tool from "${serverId}".`),this.toolsIndex.set(tool.name,serverId);this.connections.set(serverId,connection),this.updateState({toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())})}getServersStatus(){ -const statuses=[];for(const[name,connection]of this.connections)statuses.push({name,isConnected:!0,toolCount:connection.tools.length,error:void 0});return statuses}getServerInstructions(){const results=[];for(const[serverName,connection]of this.connections)connection.instructions&&results.push({serverName,serverTitle:connection.serverInfo?.title||connection.serverInfo?.name,instructions:connection.instructions});return results}getHealthCheckInstructions(){const results=[];for(const[serverId,state2]of Object. -entries(this._healthChecks))state2.status===HealthCheckStatus.SUCCESS&&state2.instructions&&results.push({serverId,serverTitle:state2.serverInfo?.title||state2.serverInfo?.name,instructions:state2.instructions});return results}hasServerInstructions(){for(const connection of this.connections.values())if(connection.instructions)return!0;return!1}hasResourcesCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId)); -if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object.entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&&MCPService.supportsResources(connection))return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?. -server?.resources!==void 0)return!0;for(const connection of this.connections.values())if(MCPService.supportsResources(connection))return!0;return!1}getServersWithResources(){const servers=[];for(const[name,connection]of this.connections)MCPService.supportsResources(connection)&&!servers.includes(name)&&servers.push(name);for(const[serverId,state2]of Object.entries(this._healthChecks))!servers.includes(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!== -void 0&&servers.push(serverId);return servers}async fetchAllResources(forceRefresh=!1){const serversWithResources=this.getServersWithResources();if(serversWithResources.length!==0){if(!forceRefresh&&serversWithResources.every(serverName=>{const serverRes=mcpResourceStore.getServerResources(serverName);return!serverRes||!serverRes.lastFetched?!1:Date.now()-serverRes.lastFetched.getTime()this.fetchServerResources(serverName)))}finally{mcpResourceStore.setLoading(!1)}}}async fetchServerResources(serverName){const connection=this.connections.get(serverName);if(!connection){console.warn(`[MCPStore] No connection found for server: ${serverName}`);return}if(MCPService.supportsResources(connection)){mcpResourceStore.setServerLoading(serverName,!0);try{const[resources,templates]=await Promise.all([MCPService.listAllResources(connection), -MCPService.listAllResourceTemplates(connection)]);mcpResourceStore.setServerResources(serverName,resources,templates)}catch(error2){const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore.setServerError(serverName,message),console.error(`[MCPStore][${serverName}] Failed to fetch resources:`,error2)}}}async readResource(uri2){const cached2=mcpResourceStore.getCachedContent(uri2);if(cached2)return cached2.content;const serverName=mcpResourceStore.findServerForUri(uri2); -if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),null;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),null;try{const result=await MCPService.readResource(connection,uri2),resourceInfo=mcpResourceStore.findResourceByUri(uri2);return resourceInfo&&mcpResourceStore.cacheResourceContent(resourceInfo,result.contents),result.contents}catch(error2){return console. -error(`[MCPStore] Failed to read resource ${uri2}:`,error2),null}}async subscribeToResource(uri2){const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),!1;if(!MCPService.supportsResourceSubscriptions(connection))return!1;try{return await MCPService.subscribeResource( -connection,uri2),mcpResourceStore.addSubscription(uri2,serverName),!0}catch(error2){return console.error(`[MCPStore] Failed to subscribe to resource ${uri2}:`,error2),!1}}async unsubscribeFromResource(uri2){const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`), -!1;try{return await MCPService.unsubscribeResource(connection,uri2),mcpResourceStore.removeSubscription(uri2),!0}catch(error2){return console.error(`[MCPStore] Failed to unsubscribe from resource ${uri2}:`,error2),!1}}async attachResource(uri2){const resourceInfo=mcpResourceStore.findResourceByUri(uri2);if(!resourceInfo)return console.error(`[MCPStore] Resource not found: ${uri2}`),null;if(mcpResourceStore.isAttached(uri2))return null;const attachment=mcpResourceStore.addAttachment(resourceInfo); -try{const content2=await this.readResource(uri2);content2?mcpResourceStore.updateAttachmentContent(attachment.id,content2):mcpResourceStore.updateAttachmentError(attachment.id,"Failed to read resource")}catch(error2){const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore.updateAttachmentError(attachment.id,message)}return mcpResourceStore.getAttachment(attachment.id)??null}removeResourceAttachment(attachmentId){mcpResourceStore.removeAttachment(attachmentId)}clearResourceAttachments(){ -mcpResourceStore.clearAttachments()}getResourceContextForChat(){return mcpResourceStore.formatAttachmentsForContext()}consumeResourceAttachmentsAsExtras(){const extras=mcpResourceStore.toMessageExtras();return extras.length>0&&mcpResourceStore.clearAttachments(),extras}}const mcpStore=new MCPStore;var root_2$1b=from_html(''),root_8$r=from_html(''),root_7$u=from_html( -'
        '),root_1$W=from_html(" ",1);function ChatAttachmentMcpResource($$anchor,$$props){push$1($$props,!0);function getStatusClass(attachment){return attachment.error?"border-red-500/50 bg-red-500/10":(attachment.loading,"border-border/50 bg-muted/30")}const ResourceIcon=user_derived(()=>getResourceIcon($$props.attachment.resource.mimeType,$$props.attachment.resource.uri)),serverName=user_derived(()=>mcpStore. -getServerDisplayName($$props.attachment.resource.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.attachment.resource.serverName));var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$W(),node_1=first_child(fragment_1);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{ -var button=root_2$1b(),node_2=child(button);{var consequent=$$anchor6=>{Loader_circle($$anchor6,{class:"h-3 w-3 animate-spin text-muted-foreground"})},consequent_1=$$anchor6=>{Circle_alert($$anchor6,{class:"h-3 w-3 text-red-500"})},alternate=$$anchor6=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component(node_3,()=>get$3(ResourceIcon),($$anchor7,ResourceIcon_1)=>{ResourceIcon_1($$anchor7,{class:"h-3 w-3 text-muted-foreground"})}),append($$anchor6,fragment_4)};if_block(node_2,$$render=>{ -$$props.attachment.loading?$$render(consequent):$$props.attachment.error?$$render(consequent_1,1):$$render(alternate,-1)})}var span=sibling(node_2,2),text2=child(span,!0);reset(span);var node_4=sibling(span,2);{var consequent_2=$$anchor6=>{ActionIconRemove($$anchor6,{class:"-my-2 -mr-1.5 bg-transparent",iconSize:2,get id(){return $$props.attachment.id},get onRemove(){return $$props.onRemove}})};if_block(node_4,$$render=>{$$props.onRemove&&$$render(consequent_2)})}reset(button),template_effect(($0,$1)=>{ -set_class(button,1,$0),button.disabled=!$$props.onClick,set_text(text2,$1)},[()=>clsx(cn$1("flex flex-shrink-0 items-center gap-1.5 rounded-md border px-2 py-0.75 text-sm transition-colors",getStatusClass($$props.attachment),$$props.onClick&&"cursor-pointer hover:bg-muted/50",$$props.class)),()=>getResourceDisplayName($$props.attachment.resource)]),delegated("click",button,function(...$$args){$$props.onClick?.apply(this,$$args)}),append($$anchor5,button)},$$slots:{default:!0}})});var node_5=sibling( -node_1,2);component(node_5,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var div=root_7$u(),node_6=child(div);{var consequent_3=$$anchor6=>{var img=root_8$r();template_effect(()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor6,img)};if_block(node_6,$$render=>{get$3(favicon)&&$$render(consequent_3)})}var span_1=sibling(node_6,2),text_1=child( -span_1,!0);reset(span_1),reset(div),template_effect(()=>set_text(text_1,get$3(serverName))),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);const alertVariants=tv({base:"relative grid w-full grid-cols-[0_1fr] items-start gap-y-0.5 rounded-lg border px-4 py-3 text-sm has-[>svg]:grid-cols-[calc(var(--spacing)*4)_1fr] has-[>svg]:gap-x-3 [&>svg]:size-4 [&>svg]:translate-y-0.5 [&>svg]:text-curre\ -nt",variants:{variant:{default:"bg-card text-card-foreground",destructive:"text-destructive bg-card *:data-[slot=alert-description]:text-destructive/90 [&>svg]:text-current"}},defaultVariants:{variant:"default"}});var root$1B=from_html("
        ");function Alert($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","variant","children"]);var div=root$1B(); -attribute_effect(div,$0=>({"data-slot":"alert",class:$0,...restProps,role:"alert"}),[()=>cn$1(alertVariants({variant:variant()}),$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1A=from_html("
        ");function Alert_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy", -"ref","class","children"]);var div=root$1A();attribute_effect(div,$0=>({"data-slot":"alert-description",class:$0,...restProps}),[()=>cn$1("col-start-2 grid justify-items-start gap-1 text-sm text-muted-foreground [&_p]:leading-relaxed",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1z=from_html("
        ");function Alert_title($$anchor,$$props){push$1($$props,!0); -let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1z();attribute_effect(div,$0=>({"data-slot":"alert-title",class:$0,...restProps}),[()=>cn$1("col-start-2 line-clamp-1 min-h-4 font-medium tracking-tight",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}class AudioRecorder{mediaRecorder=null;audioChunks=[];stream=null;recordingState=!1;async startRecording(){ -try{this.stream=await navigator.mediaDevices.getUserMedia({audio:{echoCancellation:!0,noiseSuppression:!0,autoGainControl:!0}}),this.initializeRecorder(this.stream),this.audioChunks=[],this.mediaRecorder.start(100),this.recordingState=!0}catch(error2){throw console.error("Failed to start recording:",error2),new Error("Failed to access microphone. Please check permissions.")}}async stopRecording(){return new Promise((resolve2,reject)=>{const recorder=this.mediaRecorder,chunks=this.audioChunks,stream=this. -stream;if(!recorder||recorder.state==="inactive"){reject(new Error("No active recording to stop"));return}this.mediaRecorder=null,this.audioChunks=[],this.stream=null,this.recordingState=!1,recorder.onstop=()=>{const audioBlob=new Blob(chunks,{type:recorder.mimeType||MimeTypeAudio.WAV});if(stream)for(const track2 of stream.getTracks())track2.stop();resolve2(audioBlob)},recorder.onerror=event2=>{if(console.error("Recording error:",event2),stream)for(const track2 of stream.getTracks())track2.stop(); -reject(new Error("Recording failed"))},recorder.stop()})}isRecording(){return this.recordingState}cancelRecording(){const recorder=this.mediaRecorder,stream=this.stream;if(this.mediaRecorder=null,this.audioChunks=[],this.stream=null,this.recordingState=!1,recorder&&recorder.state!=="inactive"&&(recorder.onstop=null,recorder.onerror=null,recorder.stop()),stream)for(const track2 of stream.getTracks())track2.stop()}initializeRecorder(stream){const options={};MediaRecorder.isTypeSupported(MimeTypeAudio. -WAV)?options.mimeType=MimeTypeAudio.WAV:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM_OPUS)?options.mimeType=MimeTypeAudio.WEBM_OPUS:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM)?options.mimeType=MimeTypeAudio.WEBM:MediaRecorder.isTypeSupported(MimeTypeAudio.MP4)?options.mimeType=MimeTypeAudio.MP4:console.warn("No preferred audio format supported, using default"),this.mediaRecorder=new MediaRecorder(stream,options),this.mediaRecorder.ondataavailable=event2=>{event2.data.size>0&&this.audioChunks. -push(event2.data)},this.mediaRecorder.onstop=()=>{this.recordingState=!1},this.mediaRecorder.onerror=event2=>{console.error("MediaRecorder error:",event2),this.recordingState=!1}}}async function convertToWav(audioBlob){try{if(audioBlob.type.includes("wav"))return audioBlob;const arrayBuffer=await audioBlob.arrayBuffer(),audioContext=new(window.AudioContext||window.webkitAudioContext);try{const audioBuffer=await audioContext.decodeAudioData(arrayBuffer);return audioBufferToWav(audioBuffer)}finally{ -audioContext.close()}}catch(error2){return console.error("Failed to convert audio to WAV:",error2),audioBlob}}function audioBufferToWav(buffer){const length=buffer.length,numberOfChannels=buffer.numberOfChannels,sampleRate=buffer.sampleRate,blockAlign=numberOfChannels*2,byteRate=sampleRate*blockAlign,dataSize=length*blockAlign,bufferSize=44+dataSize,arrayBuffer=new ArrayBuffer(bufferSize),view=new DataView(arrayBuffer),writeString=(offset2,string2)=>{for(let i=0;i1?s2=1:s2<-1&&(s2=-1),pcm[p2++]=s2*32767}return new Blob([arrayBuffer],{type:MimeTypeAudio.WAV})}function createAudioFile(audioBlob,filename){const timestamp=new Date().toISOString().replace(/[:.]/g,"-"),extension2=audioBlob.type.includes("wav")?"wav":"mp3",defaultFilename=`recording-${timestamp}.${extension2}`;return new File( -[audioBlob],defaultFilename,{type:audioBlob.type,lastModified:Date.now()})}function isAudioRecordingSupported(){return!!(typeof navigator<"u"&&navigator.mediaDevices&&typeof navigator.mediaDevices.getUserMedia=="function"&&typeof window<"u"&&window.MediaRecorder)}const isNodeJS=typeof process=="object"&&process+""=="[object process]"&&!process.versions.nw&&!(process.versions.electron&&process.type&&process.type!=="browser"),FONT_IDENTITY_MATRIX=[.001,0,0,.001,0,0],LINE_FACTOR=1.35,RenderingIntentFlag={ -ANY:1,DISPLAY:2,PRINT:4,ANNOTATIONS_FORMS:16,ANNOTATIONS_STORAGE:32,ANNOTATIONS_DISABLE:64,IS_EDITING:128,OPLIST:256},AnnotationMode={DISABLE:0,ENABLE:1,ENABLE_FORMS:2,ENABLE_STORAGE:3},AnnotationEditorPrefix="pdfjs_internal_editor_",AnnotationEditorType={DISABLE:-1,NONE:0,FREETEXT:3,HIGHLIGHT:9,STAMP:13,INK:15,SIGNATURE:101,COMMENT:102},AnnotationEditorParamsType={RESIZE:1,CREATE:2,FREETEXT_SIZE:11,FREETEXT_COLOR:12,FREETEXT_OPACITY:13,INK_COLOR:21,INK_THICKNESS:22,INK_OPACITY:23,HIGHLIGHT_COLOR:31, -HIGHLIGHT_THICKNESS:32,HIGHLIGHT_FREE:33,HIGHLIGHT_SHOW_ALL:34,DRAW_STEP:41},PermissionFlag={PRINT:4,MODIFY_CONTENTS:8,COPY:16,MODIFY_ANNOTATIONS:32,FILL_INTERACTIVE_FORMS:256,COPY_FOR_ACCESSIBILITY:512,ASSEMBLE:1024,PRINT_HIGH_QUALITY:2048},TextRenderingMode={FILL:0,STROKE:1,FILL_STROKE:2,INVISIBLE:3,FILL_STROKE_MASK:3,ADD_TO_PATH_FLAG:4},util_ImageKind={GRAYSCALE_1BPP:1,RGB_24BPP:2,RGBA_32BPP:3},AnnotationType={TEXT:1,LINK:2,FREETEXT:3,LINE:4,SQUARE:5,CIRCLE:6,POLYGON:7,POLYLINE:8,HIGHLIGHT:9, -UNDERLINE:10,SQUIGGLY:11,STRIKEOUT:12,STAMP:13,CARET:14,INK:15,POPUP:16,FILEATTACHMENT:17,SOUND:18,MOVIE:19,WIDGET:20,SCREEN:21,PRINTERMARK:22,TRAPNET:23,WATERMARK:24,THREED:25,REDACT:26},AnnotationBorderStyleType={SOLID:1,DASHED:2,BEVELED:3,INSET:4,UNDERLINE:5},VerbosityLevel={ERRORS:0,WARNINGS:1,INFOS:5},OPS={dependency:1,setLineWidth:2,setLineCap:3,setLineJoin:4,setMiterLimit:5,setDash:6,setRenderingIntent:7,setFlatness:8,setGState:9,save:10,restore:11,transform:12,moveTo:13,lineTo:14,curveTo:15, -curveTo2:16,curveTo3:17,closePath:18,rectangle:19,stroke:20,closeStroke:21,fill:22,eoFill:23,fillStroke:24,eoFillStroke:25,closeFillStroke:26,closeEOFillStroke:27,endPath:28,clip:29,eoClip:30,beginText:31,endText:32,setCharSpacing:33,setWordSpacing:34,setHScale:35,setLeading:36,setFont:37,setTextRenderingMode:38,setTextRise:39,moveText:40,setLeadingMoveText:41,setTextMatrix:42,nextLine:43,showText:44,showSpacedText:45,nextLineShowText:46,nextLineSetSpacingShowText:47,setCharWidth:48,setCharWidthAndBounds:49, -setStrokeColorSpace:50,setFillColorSpace:51,setStrokeColor:52,setStrokeColorN:53,setFillColor:54,setFillColorN:55,setStrokeGray:56,setFillGray:57,setStrokeRGBColor:58,setFillRGBColor:59,setStrokeCMYKColor:60,setFillCMYKColor:61,shadingFill:62,beginInlineImage:63,beginImageData:64,endInlineImage:65,paintXObject:66,markPoint:67,markPointProps:68,beginMarkedContent:69,beginMarkedContentProps:70,endMarkedContent:71,beginCompat:72,endCompat:73,paintFormXObjectBegin:74,paintFormXObjectEnd:75,beginGroup:76, -endGroup:77,beginAnnotation:80,endAnnotation:81,paintImageMaskXObject:83,paintImageMaskXObjectGroup:84,paintImageXObject:85,paintInlineImageXObject:86,paintInlineImageXObjectGroup:87,paintImageXObjectRepeat:88,paintImageMaskXObjectRepeat:89,paintSolidColorImageMask:90,constructPath:91,setStrokeTransparent:92,setFillTransparent:93,rawFillPath:94},DrawOPS={moveTo:0,lineTo:1,curveTo:2,closePath:3},PasswordResponses={NEED_PASSWORD:1,INCORRECT_PASSWORD:2};let verbosity=VerbosityLevel.WARNINGS;function setVerbosityLevel(level){ -Number.isInteger(level)&&(verbosity=level)}function getVerbosityLevel(){return verbosity}function info(msg){verbosity>=VerbosityLevel.INFOS&&console.log(`Info: ${msg}`)}function warn(msg){verbosity>=VerbosityLevel.WARNINGS&&console.log(`Warning: ${msg}`)}function unreachable(msg){throw new Error(msg)}function assert$1(cond,msg){cond||unreachable(msg)}function _isValidProtocol(url2){switch(url2?.protocol){case"http:":case"https:":case"ftp:":case"mailto:":case"tel:":return!0;default:return!1}}function createValidAbsoluteUrl(url2,baseUrl=null,options=null){ -if(!url2)return null;if(options&&typeof url2=="string"&&(options.addDefaultProtocol&&url2.startsWith("www.")&&url2.match(/\./g)?.length>=2&&(url2=`http://${url2}`),options.tryConvertEncoding))try{url2=stringToUTF8String(url2)}catch{}const absoluteUrl=baseUrl?URL.parse(url2,baseUrl):URL.parse(url2);return _isValidProtocol(absoluteUrl)?absoluteUrl:null}function updateUrlHash(url2,hash2,allowRel=!1){const res=URL.parse(url2);return res?(res.hash=hash2,res.href):allowRel&&createValidAbsoluteUrl(url2, -"http://example.com")?url2.split("#",1)[0]+`${hash2?`#${hash2}`:""}`:""}function shadow(obj,prop2,value,nonSerializable=!1){return Object.defineProperty(obj,prop2,{value,enumerable:!nonSerializable,configurable:!0,writable:!1}),value}const BaseException=(function(){function BaseException2(message,name){this.message=message,this.name=name}return BaseException2.prototype=new Error,BaseException2.constructor=BaseException2,BaseException2})();class PasswordException extends BaseException{constructor(msg,code2){ -super(msg,"PasswordException"),this.code=code2}}class UnknownErrorException extends BaseException{constructor(msg,details){super(msg,"UnknownErrorException"),this.details=details}}class InvalidPDFException extends BaseException{constructor(msg){super(msg,"InvalidPDFException")}}class ResponseException extends BaseException{constructor(msg,status,missing){super(msg,"ResponseException"),this.status=status,this.missing=missing}}class FormatError extends BaseException{constructor(msg){super(msg,"For\ -matError")}}class AbortException extends BaseException{constructor(msg){super(msg,"AbortException")}}function bytesToString(bytes){(typeof bytes!="object"||bytes?.length===void 0)&&unreachable("Invalid argument for bytesToString");const length=bytes.length,MAX_ARGUMENT_COUNT=8192;if(length>24&255,value>>16&255,value>>8&255,value&255)}function isLittleEndian(){const buffer8=new Uint8Array(4);return buffer8[0]=1,new Uint32Array(buffer8. -buffer,0,1)[0]===1}function isEvalSupported(){try{return new Function(""),!0}catch{return!1}}class util_FeatureTest{static get isLittleEndian(){return shadow(this,"isLittleEndian",isLittleEndian())}static get isEvalSupported(){return shadow(this,"isEvalSupported",isEvalSupported())}static get isOffscreenCanvasSupported(){return shadow(this,"isOffscreenCanvasSupported",typeof OffscreenCanvas<"u")}static get isImageDecoderSupported(){return shadow(this,"isImageDecoderSupported",typeof ImageDecoder< -"u")}static get platform(){const{platform:platform2,userAgent}=navigator;return shadow(this,"platform",{isAndroid:userAgent.includes("Android"),isLinux:platform2.includes("Linux"),isMac:platform2.includes("Mac"),isWindows:platform2.includes("Win"),isFirefox:userAgent.includes("Firefox")})}static get isCSSRoundSupported(){return shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const hexNumbers=Array.from(Array(256).keys(),n=>n.toString(16).padStart(2,"0")); -class Util{static makeHexColor(r2,g,b){return`#${hexNumbers[r2]}${hexNumbers[g]}${hexNumbers[b]}`}static scaleMinMax(transform2,minMax){let temp;transform2[0]?(transform2[0]<0&&(temp=minMax[0],minMax[0]=minMax[2],minMax[2]=temp),minMax[0]*=transform2[0],minMax[2]*=transform2[0],transform2[3]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[3],minMax[3]*=transform2[3]):(temp=minMax[0],minMax[0]=minMax[1],minMax[1]=temp,temp=minMax[2],minMax[2]=minMax[3],minMax[3]=temp, -transform2[1]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[1],minMax[3]*=transform2[1],transform2[2]<0&&(temp=minMax[0],minMax[0]=minMax[2],minMax[2]=temp),minMax[0]*=transform2[2],minMax[2]*=transform2[2]),minMax[0]+=transform2[4],minMax[1]+=transform2[5],minMax[2]+=transform2[4],minMax[3]+=transform2[5]}static transform(m1,m2){return[m1[0]*m2[0]+m1[2]*m2[1],m1[1]*m2[0]+m1[3]*m2[1],m1[0]*m2[2]+m1[2]*m2[3],m1[1]*m2[2]+m1[3]*m2[3],m1[0]*m2[4]+m1[2]*m2[5]+m1[4],m1[1]* -m2[4]+m1[3]*m2[5]+m1[5]]}static applyTransform(p2,m,pos=0){const p0=p2[pos],p1=p2[pos+1];p2[pos]=p0*m[0]+p1*m[2]+m[4],p2[pos+1]=p0*m[1]+p1*m[3]+m[5]}static applyTransformToBezier(p2,transform2,pos=0){const m0=transform2[0],m1=transform2[1],m2=transform2[2],m3=transform2[3],m4=transform2[4],m5=transform2[5];for(let i=0;i<6;i+=2){const pI=p2[pos+i],pI1=p2[pos+i+1];p2[pos+i]=pI*m0+pI1*m2+m4,p2[pos+i+1]=pI*m1+pI1*m3+m5}}static applyInverseTransform(p2,m){const p0=p2[0],p1=p2[1],d2=m[0]*m[3]-m[1]*m[2]; -p2[0]=(p0*m[3]-p1*m[2]+m[2]*m[5]-m[4]*m[3])/d2,p2[1]=(-p0*m[1]+p1*m[0]+m[4]*m[1]-m[5]*m[0])/d2}static axialAlignedBoundingBox(rect,transform2,output){const m0=transform2[0],m1=transform2[1],m2=transform2[2],m3=transform2[3],m4=transform2[4],m5=transform2[5],r0=rect[0],r1=rect[1],r2=rect[2],r3=rect[3];let a0=m0*r0+m4,a2=a0,a1=m0*r2+m4,a3=a1,b0=m3*r1+m5,b2=b0,b1=m3*r3+m5,b3=b1;if(m1!==0||m2!==0){const m1r0=m1*r0,m1r2=m1*r2,m2r1=m2*r1,m2r3=m2*r3;a0+=m2r1,a3+=m2r1,a1+=m2r3,a2+=m2r3,b0+=m1r0,b3+=m1r0, -b1+=m1r2,b2+=m1r2}output[0]=Math.min(output[0],a0,a1,a2,a3),output[1]=Math.min(output[1],b0,b1,b2,b3),output[2]=Math.max(output[2],a0,a1,a2,a3),output[3]=Math.max(output[3],b0,b1,b2,b3)}static inverseTransform(m){const d2=m[0]*m[3]-m[1]*m[2];return[m[3]/d2,-m[1]/d2,-m[2]/d2,m[0]/d2,(m[2]*m[5]-m[4]*m[3])/d2,(m[4]*m[1]-m[5]*m[0])/d2]}static singularValueDecompose2dScale(matrix,output){const m0=matrix[0],m1=matrix[1],m2=matrix[2],m3=matrix[3],a=m0**2+m1**2,b=m0*m2+m1*m3,c2=m2**2+m3**2,first=(a+c2)/ -2,second=Math.sqrt(first**2-(a*c2-b**2));output[0]=Math.sqrt(first+second||1),output[1]=Math.sqrt(first-second||1)}static normalizeRect(rect){const r2=rect.slice(0);return rect[0]>rect[2]&&(r2[0]=rect[2],r2[2]=rect[0]),rect[1]>rect[3]&&(r2[1]=rect[3],r2[3]=rect[1]),r2}static intersect(rect1,rect2){const xLow=Math.max(Math.min(rect1[0],rect1[2]),Math.min(rect2[0],rect2[2])),xHigh=Math.min(Math.max(rect1[0],rect1[2]),Math.max(rect2[0],rect2[2]));if(xLow>xHigh)return null;const yLow=Math.max(Math.min( -rect1[1],rect1[3]),Math.min(rect2[1],rect2[3])),yHigh=Math.min(Math.max(rect1[1],rect1[3]),Math.max(rect2[1],rect2[3]));return yLow>yHigh?null:[xLow,yLow,xHigh,yHigh]}static pointBoundingBox(x,y,minMax){minMax[0]=Math.min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static rectBoundingBox(x0,y0,x1,y1,minMax){minMax[0]=Math.min(minMax[0],x0,x1),minMax[1]=Math.min(minMax[1],y0,y1),minMax[2]=Math.max(minMax[2],x0,x1),minMax[3]=Math.max( -minMax[3],y0,y1)}static#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,t,minMax){if(t<=0||t>=1)return;const mt=1-t,tt=t*t,ttt=tt*t,x=mt*(mt*(mt*x0+3*t*x1)+3*tt*x2)+ttt*x3,y=mt*(mt*(mt*y0+3*t*y1)+3*tt*y2)+ttt*y3;minMax[0]=Math.min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,a,b,c2,minMax){if(Math.abs(a)<1e-12){Math.abs(b)>=1e-12&&this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,-c2/b,minMax);return} -const delta=b**2-4*c2*a;if(delta<0)return;const sqrtDelta=Math.sqrt(delta),a2=2*a;this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b+sqrtDelta)/a2,minMax),this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b-sqrtDelta)/a2,minMax)}static bezierBoundingBox(x0,y0,x1,y1,x2,y2,x3,y3,minMax){minMax[0]=Math.min(minMax[0],x0,x3),minMax[1]=Math.min(minMax[1],y0,y3),minMax[2]=Math.max(minMax[2],x0,x3),minMax[3]=Math.max(minMax[3],y0,y3),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-x0+3*(x1-x2)+x3),6*(x0- -2*x1+x2),3*(x1-x0),minMax),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-y0+3*(y1-y2)+y3),6*(y0-2*y1+y2),3*(y1-y0),minMax)}}function stringToUTF8String(str){return decodeURIComponent(escape(str))}let NormalizeRegex=null,NormalizationMap=null;function normalizeUnicode(str){return NormalizeRegex||(NormalizeRegex=/([\u00a0\u00b5\u037e\u0eb3\u2000-\u200a\u202f\u2126\ufb00-\ufb04\ufb06\ufb20-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufba1\ufba4-\ufba9\ufbae-\ufbb1\ufbd3-\ufbdc\ufbde-\ufbe7\ufbea-\ufbf8\ufbfc-\ufbfd\ufc00-\ufc5d\ufc64-\ufcf1\ufcf5-\ufd3d\ufd88\ufdf4\ufdfa-\ufdfb\ufe71\ufe77\ufe79\ufe7b\ufe7d]+)|(\ufb05+)/gu, -NormalizationMap=new Map([["ſt","ſt"]])),str.replaceAll(NormalizeRegex,(_,p1,p2)=>p1?p1.normalize("NFKC"):NormalizationMap.get(p2))}function getUuid(){if(typeof crypto.randomUUID=="function")return crypto.randomUUID();const buf=new Uint8Array(32);return crypto.getRandomValues(buf),bytesToString(buf)}const AnnotationPrefix="pdfjs_internal_id_";function _isValidExplicitDest(validRef,validName,dest){if(!Array.isArray(dest)||dest.length<2)return!1;const[page2,zoom,...args]=dest;if(!validRef(page2)&& -!Number.isInteger(page2)||!validName(zoom))return!1;const argsLen=args.length;let allowNull=!0;switch(zoom.name){case"XYZ":if(argsLen<2||argsLen>3)return!1;break;case"Fit":case"FitB":return argsLen===0;case"FitH":case"FitBH":case"FitV":case"FitBV":if(argsLen>1)return!1;break;case"FitR":if(argsLen!==4)return!1;allowNull=!1;break;default:return!1}for(const arg of args)if(!(typeof arg=="number"||allowNull&&arg===null))return!1;return!0}function MathClamp(v,min2,max2){return Math.min(Math.max(v,min2), -max2)}function toBase64Util(arr){return Uint8Array.prototype.toBase64?arr.toBase64():btoa(bytesToString(arr))}function fromBase64Util(str){return Uint8Array.fromBase64?Uint8Array.fromBase64(str):stringToBytes(atob(str))}typeof Promise.try!="function"&&(Promise.try=function(fn,...args){return new Promise(resolve2=>{resolve2(fn(...args))})});typeof Math.sumPrecise!="function"&&(Math.sumPrecise=function(numbers){return numbers.reduce((a,b)=>a+b,0)});const SVG_NS="http://www.w3.org/2000/svg";class PixelsPerInch{static CSS=96;static PDF=72;static PDF_TO_CSS_UNITS=this. -CSS/this.PDF}async function fetchData(url2,type2="text"){if(isValidFetchUrl(url2,document.baseURI)){const response=await fetch(url2);if(!response.ok)throw new Error(response.statusText);switch(type2){case"arraybuffer":return response.arrayBuffer();case"blob":return response.blob();case"json":return response.json()}return response.text()}return new Promise((resolve2,reject)=>{const request=new XMLHttpRequest;request.open("GET",url2,!0),request.responseType=type2,request.onreadystatechange=()=>{if(request. -readyState===XMLHttpRequest.DONE){if(request.status===200||request.status===0){switch(type2){case"arraybuffer":case"blob":case"json":resolve2(request.response);return}resolve2(request.responseText);return}reject(new Error(request.statusText))}},request.send(null)})}class PageViewport{constructor({viewBox,userUnit,scale:scale2,rotation,offsetX=0,offsetY=0,dontFlip=!1}){this.viewBox=viewBox,this.userUnit=userUnit,this.scale=scale2,this.rotation=rotation,this.offsetX=offsetX,this.offsetY=offsetY,scale2*= -userUnit;const centerX=(viewBox[2]+viewBox[0])/2,centerY=(viewBox[3]+viewBox[1])/2;let rotateA,rotateB,rotateC,rotateD;switch(rotation%=360,rotation<0&&(rotation+=360),rotation){case 180:rotateA=-1,rotateB=0,rotateC=0,rotateD=1;break;case 90:rotateA=0,rotateB=1,rotateC=1,rotateD=0;break;case 270:rotateA=0,rotateB=-1,rotateC=-1,rotateD=0;break;case 0:rotateA=1,rotateB=0,rotateC=0,rotateD=-1;break;default:throw new Error("PageViewport: Invalid rotation, must be a multiple of 90 degrees.")}dontFlip&& -(rotateC=-rotateC,rotateD=-rotateD);let offsetCanvasX,offsetCanvasY,width,height;rotateA===0?(offsetCanvasX=Math.abs(centerY-viewBox[1])*scale2+offsetX,offsetCanvasY=Math.abs(centerX-viewBox[0])*scale2+offsetY,width=(viewBox[3]-viewBox[1])*scale2,height=(viewBox[2]-viewBox[0])*scale2):(offsetCanvasX=Math.abs(centerX-viewBox[0])*scale2+offsetX,offsetCanvasY=Math.abs(centerY-viewBox[1])*scale2+offsetY,width=(viewBox[2]-viewBox[0])*scale2,height=(viewBox[3]-viewBox[1])*scale2),this.transform=[rotateA* -scale2,rotateB*scale2,rotateC*scale2,rotateD*scale2,offsetCanvasX-rotateA*scale2*centerX-rotateC*scale2*centerY,offsetCanvasY-rotateB*scale2*centerX-rotateD*scale2*centerY],this.width=width,this.height=height}get rawDims(){const dims=this.viewBox;return shadow(this,"rawDims",{pageWidth:dims[2]-dims[0],pageHeight:dims[3]-dims[1],pageX:dims[0],pageY:dims[1]})}clone({scale:scale2=this.scale,rotation=this.rotation,offsetX=this.offsetX,offsetY=this.offsetY,dontFlip=!1}={}){return new PageViewport({viewBox:this. -viewBox.slice(),userUnit:this.userUnit,scale:scale2,rotation,offsetX,offsetY,dontFlip})}convertToViewportPoint(x,y){const p2=[x,y];return Util.applyTransform(p2,this.transform),p2}convertToViewportRectangle(rect){const topLeft=[rect[0],rect[1]];Util.applyTransform(topLeft,this.transform);const bottomRight=[rect[2],rect[3]];return Util.applyTransform(bottomRight,this.transform),[topLeft[0],topLeft[1],bottomRight[0],bottomRight[1]]}convertToPdfPoint(x,y){const p2=[x,y];return Util.applyInverseTransform( -p2,this.transform),p2}}class RenderingCancelledException extends BaseException{constructor(msg,extraDelay=0){super(msg,"RenderingCancelledException"),this.extraDelay=extraDelay}}function isDataScheme(url2){const ii=url2.length;let i=0;for(;i{try{return new URL(urlString)}catch{try{return new URL(decodeURIComponent(urlString))}catch{try{return new URL(urlString,"https://foo.bar")}catch{try{return new URL(decodeURIComponent(urlString),"https://foo.bar")}catch{ -return null}}}}})(url2);if(!newURL)return defaultFilename;const decode2=name=>{try{let decoded=decodeURIComponent(name);return decoded.includes("/")?(decoded=decoded.split("/").at(-1),decoded.test(/^\.pdf$/i)?decoded:name):decoded}catch{return name}},pdfRegex=/\.pdf$/i,filename=newURL.pathname.split("/").at(-1);if(pdfRegex.test(filename))return decode2(filename);if(newURL.searchParams.size>0){const values=Array.from(newURL.searchParams.values()).reverse();for(const value of values)if(pdfRegex.test( -value))return decode2(value);const keys2=Array.from(newURL.searchParams.keys()).reverse();for(const key2 of keys2)if(pdfRegex.test(key2))return decode2(key2)}if(newURL.hash){const hashFilename=/[^/?#=]+\.pdf\b(?!.*\.pdf\b)/i.exec(newURL.hash);if(hashFilename)return decode2(hashFilename[0])}return defaultFilename}class StatTimer{started=Object.create(null);times=[];time(name){name in this.started&&warn(`Timer is already running for ${name}`),this.started[name]=Date.now()}timeEnd(name){name in this. -started||warn(`Timer has not been started for ${name}`),this.times.push({name,start:this.started[name],end:Date.now()}),delete this.started[name]}toString(){const outBuf=[];let longest=0;for(const{name}of this.times)longest=Math.max(name.length,longest);for(const{name,start:start2,end}of this.times)outBuf.push(`${name.padEnd(longest)} ${end-start2}ms +icon.src)||icon.mimeType&&!MCP_ALLOWED_ICON_MIME_TYPES.has(icon.mimeType)));if(validIcons.length===0)return null;const preferredTheme=isDark?ColorMode.DARK:ColorMode.LIGHT,themedIcon=validIcons.find(icon=>icon.theme===preferredTheme);if(themedIcon)return themedIcon.src;const universalIcons=validIcons.filter(icon=>!icon.theme);return universalIcons.length===EXPECTED_THEMED_ICON_PAIR_COUNT?universalIcons[isDark?1:0].src:universalIcons.length>0?universalIcons[0].src:validIcons[0].src}getServerFavicon(serverId){ +const server=this.getServerById(serverId);if(!server)return null;const isDark=derivedMode.current===ColorMode.DARK,healthState=this.getHealthCheckState(serverId);if(healthState.status===HealthCheckStatus.SUCCESS&&healthState.serverInfo?.icons){const mcpIconUrl=this.#getMcpIconUrl(healthState.serverInfo.icons,isDark);if(mcpIconUrl)return mcpIconUrl}const fallbackUrl=this.#getServerFaviconFallback(server.url);return fallbackUrl||null}#getServerFaviconFallback(serverUrl){try{const url2=new URL(serverUrl), +rootDomain=extractRootDomain(url2);if(!rootDomain)return null;const origin2=`${url2.protocol}//${rootDomain}`,candidates=["favicon.ico","favicon.svg","favicon.png"];for(const path2 of candidates){const faviconUrl=`${origin2}/${path2}`;if(this.#isValidIconUri(faviconUrl))return faviconUrl}}catch{}return null}isAnyServerLoading(){return this.getServers().some(s2=>{const state2=this.getHealthCheckState(s2.id);return state2.status===HealthCheckStatus.IDLE||state2.status===HealthCheckStatus.CONNECTING})}getServersSorted(){ +const servers=this.getServers();return this.isAnyServerLoading()?servers:[...servers].sort((a,b)=>this.getServerLabel(a).localeCompare(this.getServerLabel(b)))}addServer(serverData){const servers=this.getServers(),newServer={id:serverData.id||(uuid$1()??`server-${Date.now()}`),enabled:serverData.enabled,url:serverData.url.trim(),name:serverData.name,headers:serverData.headers?.trim()||void 0,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,useProxy:serverData.useProxy};settingsStore. +updateConfig(SETTINGS_KEYS.MCP_SERVERS,JSON.stringify([...servers,newServer]))}updateServer(id2,updates){const servers=this.getServers();settingsStore.updateConfig(SETTINGS_KEYS.MCP_SERVERS,JSON.stringify(servers.map(server=>server.id===id2?{...server,...updates}:server)))}removeServer(id2){const servers=this.getServers();settingsStore.updateConfig(SETTINGS_KEYS.MCP_SERVERS,JSON.stringify(servers.filter(s2=>s2.id!==id2))),this.clearHealthCheck(id2)}hasAvailableServers(){return parseMcpServerSettings( +config$1().mcpServers).some(s2=>s2.enabled&&s2.url.trim())}hasEnabledServers(perChatOverrides){return!!this.#buildMcpClientConfig(config$1(),perChatOverrides)}getEnabledServersForConversation(perChatOverrides){return this.getServers().filter(server=>this.#checkServerEnabled(server,perChatOverrides))}async ensureInitialized(perChatOverrides){const mcpConfig=this.#buildMcpClientConfig(config$1(),perChatOverrides),signature=mcpConfig?JSON.stringify(mcpConfig):null;return signature?this.isInitialized&& +this.configSignature===signature?!0:this.initPromise&&this.configSignature===signature?this.initPromise:((this.connections.size>0||this.initPromise)&&await this.shutdown(),this.initialize(signature,mcpConfig)):(await this.shutdown(),!1)}async initialize(signature,mcpConfig){this.updateState({isInitializing:!0,error:null}),this.configSignature=signature;const serverEntries=Object.entries(mcpConfig.servers);return serverEntries.length===0?(this.updateState({isInitializing:!1,toolCount:0,connectedServers:[]}), +!1):(this.initPromise=this.doInitialize(signature,mcpConfig,serverEntries),this.initPromise)}async doInitialize(signature,mcpConfig,serverEntries){const clientInfo=mcpConfig.clientInfo??DEFAULT_MCP_CONFIG.clientInfo,capabilities=mcpConfig.capabilities??DEFAULT_MCP_CONFIG.capabilities,results=await Promise.allSettled(serverEntries.map(async([name,serverConfig])=>{this.serverConfigs.set(name,serverConfig);const listChangedHandlers=this.createListChangedHandlers(name),connection=await MCPService.connect( +name,serverConfig,clientInfo,capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${name}] Connection lost, starting auto-reconnect`),this.autoReconnect(name))},listChangedHandlers);return{name,connection}}));if(this.configSignature!==signature){for(const result of results)result.status==="fulfilled"&&await MCPService.disconnect(result.value.connection).catch(console.warn);return!1}for(const result of results)if(result.status==="fulfilled"){const{name,connection}=result. +value;this.connections.set(name,connection);for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${name}". Using tool from "${name}".`),this.toolsIndex.set(tool.name,name)}else console.error("[MCPStore] Failed to connect:",result.reason);return this.connections.size===0&&serverEntries.length>0?(this.updateState({isInitializing:!1,error:"All MCP server connections failed",toolCount:0, +connectedServers:[]}),this.initPromise=null,!1):(this.updateState({isInitializing:!1,error:null,toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())}),this.initPromise=null,!0)}createListChangedHandlers(serverName){return{tools:{onChanged:(error2,tools)=>{if(error2){console.warn(`[MCPStore][${serverName}] Tools list changed error:`,error2);return}this.handleToolsListChanged(serverName,tools??[])}},prompts:{onChanged:error2=>{if(error2){console.warn(`[MCPStore][${serverName}\ +] Prompts list changed error:`,error2);return}}}}}handleToolsListChanged(serverName,tools){const connection=this.connections.get(serverName);if(connection){for(const[toolName,ownerServer]of this.toolsIndex.entries())ownerServer===serverName&&this.toolsIndex.delete(toolName);connection.tools=tools;for(const tool of tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict after list change: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverName}". U\ +sing tool from "${serverName}".`),this.toolsIndex.set(tool.name,serverName);this.updateState({toolCount:this.toolsIndex.size})}}acquireConnection(){this.activeFlowCount++}async releaseConnection(shutdownIfUnused=!1){this.activeFlowCount=Math.max(0,this.activeFlowCount-1),shutdownIfUnused&&this.activeFlowCount===0&&await this.shutdown()}getActiveFlowCount(){return this.activeFlowCount}async shutdown(){this.initPromise&&(await this.initPromise.catch(()=>{}),this.initPromise=null),this.connections. +size!==0&&(await Promise.all(Array.from(this.connections.values()).map(conn=>MCPService.disconnect(conn).catch(error2=>console.warn(`[MCPStore] Error disconnecting ${conn.serverName}:`,error2)))),this.connections.clear(),this.toolsIndex.clear(),this.serverConfigs.clear(),this.configSignature=null,this.updateState({isInitializing:!1,error:null,toolCount:0,connectedServers:[]}))}async reconnectServer(serverName){const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig)throw new Error( +`[MCPStore] No config found for ${serverName}, cannot reconnect`);const oldConnection=this.connections.get(serverName);oldConnection&&(await MCPService.disconnect(oldConnection).catch(console.warn),this.connections.delete(serverName)),console.log(`[MCPStore][${serverName}] Session expired, reconnecting with fresh session...`);const listChangedHandlers=this.createListChangedHandlers(serverName),connection=await MCPService.connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG. +capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${serverName}] Connection lost, starting auto-reconnect`),this.autoReconnect(serverName))},listChangedHandlers);this.connections.set(serverName,connection);for(const tool of connection.tools)this.toolsIndex.set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Session recovered successfully`)}async autoReconnect(serverName){if(this.reconnectingServers.has(serverName)){console.log(`[MCPStore][${serverName}\ +] Reconnection already in progress, skipping`);return}const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig){console.error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);return}this.reconnectingServers.add(serverName);let backoff=MCP_RECONNECT_INITIAL_DELAY,needsReconnect=!1;try{for(;;){await new Promise(resolve2=>setTimeout(resolve2,backoff)),console.log(`[MCPStore][${serverName}] Auto-reconnecting...`);try{const timeoutPromise=new Promise((_,reject)=>setTimeout( +()=>reject(new Error(`Reconnect attempt timed out after ${MCP_RECONNECT_ATTEMPT_TIMEOUT_MS}ms`)),MCP_RECONNECT_ATTEMPT_TIMEOUT_MS));needsReconnect=!1;const listChangedHandlers=this.createListChangedHandlers(serverName),connectPromise=MCPService.connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(this.reconnectingServers.has(serverName)?needsReconnect=!0:(console.log(`[MCPStore][${serverName}] Connection l\ +ost, restarting auto-reconnect`),this.autoReconnect(serverName)))},listChangedHandlers),connection=await Promise.race([connectPromise,timeoutPromise]);this.connections.set(serverName,connection);for(const tool of connection.tools)this.toolsIndex.set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Reconnected successfully`);break}catch(error2){console.warn(`[MCPStore][${serverName}] Reconnection failed:`,error2),backoff=Math.min(backoff*MCP_RECONNECT_BACKOFF_MULTIPLIER,MCP_RECONNECT_MAX_DELAY)}}}finally{ +this.reconnectingServers.delete(serverName),needsReconnect&&(console.log(`[MCPStore][${serverName}] Deferred disconnect detected, restarting auto-reconnect`),this.autoReconnect(serverName))}}getToolDefinitionsForLLM(){const tools=[];for(const connection of this.connections.values())for(const tool of connection.tools){const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};tools.push({type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description, +parameters:this.normalizeSchemaProperties(rawSchema)}})}return tools}normalizeSchemaProperties(schema){if(!schema||typeof schema!="object")return schema;const normalized={...schema};if(normalized.properties&&typeof normalized.properties=="object"){const props=normalized.properties,normalizedProps={};for(const[key2,prop2]of Object.entries(props)){if(!prop2||typeof prop2!="object"){normalizedProps[key2]=prop2;continue}const normalizedProp={...prop2};if(!normalizedProp.type&&normalizedProp.default!== +void 0){const defaultVal=normalizedProp.default;typeof defaultVal=="string"?normalizedProp.type="string":typeof defaultVal=="number"?normalizedProp.type=Number.isInteger(defaultVal)?"integer":"number":typeof defaultVal=="boolean"?normalizedProp.type="boolean":Array.isArray(defaultVal)?normalizedProp.type="array":typeof defaultVal=="object"&&defaultVal!==null&&(normalizedProp.type="object")}normalizedProp.properties&&Object.assign(normalizedProp,this.normalizeSchemaProperties(normalizedProp)),normalizedProp. +items&&typeof normalizedProp.items=="object"&&(normalizedProp.items=this.normalizeSchemaProperties(normalizedProp.items)),normalizedProps[key2]=normalizedProp}normalized.properties=normalizedProps}return normalized}getToolNames(){return Array.from(this.toolsIndex.keys())}hasTool(toolName){return this.toolsIndex.has(toolName)}getToolServer(toolName){return this.toolsIndex.get(toolName)}hasPromptsSupport(){for(const connection of this.connections.values())if(connection.serverCapabilities?.prompts) +return!0;return!1}hasPromptsCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId));if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object.entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&& +connection.serverCapabilities?.prompts)return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const connection of this.connections.values())if(connection.serverCapabilities?.prompts)return!0;return!1}async getAllPrompts(){const results=[];for(const[serverName,connection]of this.connections){if(!connection.serverCapabilities?.prompts)continue;const prompts=await MCPService.listPrompts( +connection);for(const prompt of prompts)results.push({name:prompt.name,description:prompt.description,title:prompt.title,serverName,arguments:prompt.arguments?.map(arg=>({name:arg.name,description:arg.description,required:arg.required}))})}return results}async getPrompt(serverName,promptName,args){const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" not found for prompt "${promptName}"`);return MCPService.getPrompt(connection,promptName,args)}async executeTool(toolCall,signal){ +const toolName=toolCall.function.name,serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not connected`);const args=this.parseToolArguments(toolCall.function.arguments);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer( +serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error(`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}async executeToolByName(toolName,args,signal){const serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not \ +connected`);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer(serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error(`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}parseToolArguments(args){if(typeof args=="string"){const trimmed=args.trim();if(trimmed=== +"")return{};try{const parsed=JSON.parse(trimmed);if(typeof parsed!="object"||parsed===null||Array.isArray(parsed))throw new Error(`Tool arguments must be an object, got ${Array.isArray(parsed)?"array":typeof parsed}`);return parsed}catch(error2){throw new Error(`Failed to parse tool arguments as JSON: ${error2.message}`)}}if(typeof args=="object"&&args!==null&&!Array.isArray(args))return args;throw new Error(`Invalid tool arguments type: ${typeof args}`)}async getPromptCompletions(serverName,promptName,argumentName,argumentValue){ +const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService.complete(connection,{type:MCPRefType.PROMPT,name:promptName},{name:argumentName,value:argumentValue}):null:(console.warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async getResourceCompletions(serverName,uriTemplate,argumentName,argumentValue){const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService. +complete(connection,{type:MCPRefType.RESOURCE,uri:uriTemplate},{name:argumentName,value:argumentValue}):null:(console.warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async readResourceByUri(serverName,uri2){const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),null;try{return(await MCPService.readResource(connection,uri2)).contents}catch(error2){return console.error(`[MCPStore] Failed to \ +read resource ${uri2}:`,error2),null}}parseHeaders(headersJson){if(headersJson?.trim())try{const parsed=JSON.parse(headersJson);if(typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed))return parsed}catch{console.warn("[MCPStore] Failed to parse custom headers JSON:",headersJson)}}async runHealthChecksForServers(servers,skipIfChecked=!0,promoteToActive=!1){const serversToCheck=skipIfChecked?servers.filter(s2=>!this.hasHealthCheck(s2.id)&&s2.url.trim()):servers.filter(s2=>s2.url.trim()); +if(serversToCheck.length===0)return;const BATCH_SIZE=5;for(let i=0;ithis.runHealthCheck(server,promoteToActive)))}}getExistingConnection(serverId){return this.connections.get(serverId)}async runHealthCheck(server,promoteToActive=!1){const existingConnection=this.connections.get(server.id);if(existingConnection)try{const tools=await MCPService.listTools(existingConnection), +capabilities=this.#buildCapabilitiesInfo(existingConnection.serverCapabilities,existingConnection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools:tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})),serverInfo:existingConnection.serverInfo,capabilities,transportType:existingConnection.transportType,protocolVersion:existingConnection.protocolVersion,instructions:existingConnection.instructions,connectionTimeMs:existingConnection. +connectionTimeMs,logs:[]});return}catch(error2){console.warn(`[MCPStore] Failed to reuse connection for ${server.id}, creating new one:`,error2),this.connections.delete(server.id)}const trimmedUrl=server.url.trim(),logs=[];let currentPhase=MCPConnectionPhase.IDLE;if(!trimmedUrl){this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message:"Please enter a server URL first.",logs:[]});return}this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase:MCPConnectionPhase. +TRANSPORT_CREATING,logs:[]});const timeoutMs=Math.round(server.requestTimeoutSeconds*1e3),headers=this.parseHeaders(server.headers);try{const serverConfig={url:trimmedUrl,transport:detectMcpTransportFromUrl(trimmedUrl),handshakeTimeoutMs:DEFAULT_MCP_CONFIG.connectionTimeoutMs,requestTimeoutMs:timeoutMs,headers,useProxy:server.useProxy};this.serverConfigs.set(server.id,serverConfig);const connection=await MCPService.connect(server.id,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities, +(phase,log)=>{currentPhase=phase,logs.push(log),this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase,logs:[...logs]}),phase===MCPConnectionPhase.DISCONNECTED&&promoteToActive&&(console.log(`[MCPStore][${server.id}] Connection lost during health check, starting auto-reconnect`),this.autoReconnect(server.id))}),tools=connection.tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})),capabilities=this.#buildCapabilitiesInfo(connection.serverCapabilities, +connection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools,serverInfo:connection.serverInfo,capabilities,transportType:connection.transportType,protocolVersion:connection.protocolVersion,instructions:connection.instructions,connectionTimeMs:connection.connectionTimeMs,logs}),promoteToActive&&server.enabled?this.promoteHealthCheckToConnection(server.id,connection):await MCPService.disconnect(connection)}catch(error2){const message=error2 instanceof Error? +error2.message:"Unknown error occurred";logs.at(-1)?.phase!==MCPConnectionPhase.ERROR&&logs.push({timestamp:new Date,phase:MCPConnectionPhase.ERROR,message:`Connection failed: ${message}`,level:MCPLogLevel.ERROR}),this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message,phase:currentPhase,logs})}}promoteHealthCheckToConnection(serverId,connection){for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict during promotion: "${tool. +name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverId}". Using tool from "${serverId}".`),this.toolsIndex.set(tool.name,serverId);this.connections.set(serverId,connection),this.updateState({toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())})}getServersStatus(){const statuses=[];for(const[name,connection]of this.connections)statuses.push({name,isConnected:!0,toolCount:connection.tools.length,error:void 0});return statuses}getServerInstructions(){const results=[]; +for(const[serverName,connection]of this.connections)connection.instructions&&results.push({serverName,serverTitle:connection.serverInfo?.title||connection.serverInfo?.name,instructions:connection.instructions});return results}getHealthCheckInstructions(){const results=[];for(const[serverId,state2]of Object.entries(this._healthChecks))state2.status===HealthCheckStatus.SUCCESS&&state2.instructions&&results.push({serverId,serverTitle:state2.serverInfo?.title||state2.serverInfo?.name,instructions:state2. +instructions});return results}hasServerInstructions(){for(const connection of this.connections.values())if(connection.instructions)return!0;return!1}hasResourcesCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId));if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object.entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?. +server?.resources!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&&MCPService.supportsResources(connection))return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!==void 0)return!0;for(const connection of this.connections.values())if(MCPService.supportsResources(connection))return!0;return!1}getServersWithResources(){const servers=[];for(const[ +name,connection]of this.connections)MCPService.supportsResources(connection)&&!servers.includes(name)&&servers.push(name);for(const[serverId,state2]of Object.entries(this._healthChecks))!servers.includes(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!==void 0&&servers.push(serverId);return servers}async fetchAllResources(forceRefresh=!1){const serversWithResources=this.getServersWithResources();if(serversWithResources.length!==0){if(!forceRefresh&&serversWithResources. +every(serverName=>{const serverRes=mcpResourceStore.getServerResources(serverName);return!serverRes||!serverRes.lastFetched?!1:Date.now()-serverRes.lastFetched.getTime()this.fetchServerResources(serverName)))}finally{mcpResourceStore.setLoading(!1)}}}async fetchServerResources(serverName){const connection=this.connections.get( +serverName);if(!connection){console.warn(`[MCPStore] No connection found for server: ${serverName}`);return}if(MCPService.supportsResources(connection)){mcpResourceStore.setServerLoading(serverName,!0);try{const[resources,templates]=await Promise.all([MCPService.listAllResources(connection),MCPService.listAllResourceTemplates(connection)]);mcpResourceStore.setServerResources(serverName,resources,templates)}catch(error2){const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore. +setServerError(serverName,message),console.error(`[MCPStore][${serverName}] Failed to fetch resources:`,error2)}}}async readResource(uri2){const cached2=mcpResourceStore.getCachedContent(uri2);if(cached2)return cached2.content;const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),null;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found f\ +or server: ${serverName}`),null;try{const result=await MCPService.readResource(connection,uri2),resourceInfo=mcpResourceStore.findResourceByUri(uri2);return resourceInfo&&mcpResourceStore.cacheResourceContent(resourceInfo,result.contents),result.contents}catch(error2){return console.error(`[MCPStore] Failed to read resource ${uri2}:`,error2),null}}async subscribeToResource(uri2){const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server fou\ +nd for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),!1;if(!MCPService.supportsResourceSubscriptions(connection))return!1;try{return await MCPService.subscribeResource(connection,uri2),mcpResourceStore.addSubscription(uri2,serverName),!0}catch(error2){return console.error(`[MCPStore] Failed to subscribe to resource ${uri2}:`,error2),!1}}async unsubscribeFromResource(uri2){ +const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),!1;try{return await MCPService.unsubscribeResource(connection,uri2),mcpResourceStore.removeSubscription(uri2),!0}catch(error2){return console.error(`[MCPStore] Failed to unsubscribe from resource ${uri2}\ +:`,error2),!1}}async attachResource(uri2){const resourceInfo=mcpResourceStore.findResourceByUri(uri2);if(!resourceInfo)return console.error(`[MCPStore] Resource not found: ${uri2}`),null;if(mcpResourceStore.isAttached(uri2))return null;const attachment=mcpResourceStore.addAttachment(resourceInfo);try{const content2=await this.readResource(uri2);content2?mcpResourceStore.updateAttachmentContent(attachment.id,content2):mcpResourceStore.updateAttachmentError(attachment.id,"Failed to read resource")}catch(error2){ +const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore.updateAttachmentError(attachment.id,message)}return mcpResourceStore.getAttachment(attachment.id)??null}removeResourceAttachment(attachmentId){mcpResourceStore.removeAttachment(attachmentId)}clearResourceAttachments(){mcpResourceStore.clearAttachments()}getResourceContextForChat(){return mcpResourceStore.formatAttachmentsForContext()}consumeResourceAttachmentsAsExtras(){const extras=mcpResourceStore.toMessageExtras(); +return extras.length>0&&mcpResourceStore.clearAttachments(),extras}}const mcpStore=new MCPStore;var root_2$1a=from_html(''),root_8$t=from_html(''),root_7$u=from_html('
        '),root_1$14=from_html(" ",1);function ChatAttachmentsListItemMcpResource($$anchor,$$props){push$1($$props, +!0);const ResourceIcon=user_derived(()=>getResourceIcon($$props.attachment.resource.mimeType,$$props.attachment.resource.uri)),serverName=user_derived(()=>mcpStore.getServerDisplayName($$props.attachment.resource.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.attachment.resource.serverName));function getStatusClass(attachment){return attachment.error?"border-red-500/50 bg-red-500/10":(attachment.loading,"border-border/50 bg-muted/30")}var fragment=comment$2(),node2=first_child( +fragment);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$14(),node_1=first_child(fragment_1);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{var button=root_2$1a(),node_2=child(button);{var consequent=$$anchor6=>{Loader_circle($$anchor6,{class:"h-3 w-3 animate-spin text-muted-foreground"})},consequent_1=$$anchor6=>{Circle_alert( +$$anchor6,{class:"h-3 w-3 text-red-500"})},alternate=$$anchor6=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component(node_3,()=>get$3(ResourceIcon),($$anchor7,ResourceIcon_1)=>{ResourceIcon_1($$anchor7,{class:"h-3 w-3 text-muted-foreground"})}),append($$anchor6,fragment_4)};if_block(node_2,$$render=>{$$props.attachment.loading?$$render(consequent):$$props.attachment.error?$$render(consequent_1,1):$$render(alternate,-1)})}var span=sibling(node_2,2),text2=child(span,!0);reset(span); +var node_4=sibling(span,2);{var consequent_2=$$anchor6=>{ActionIcon($$anchor6,{class:"-my-2 -mr-1.5 bg-transparent",get icon(){return X},iconSize:"h-2 w-2",onclick:()=>$$props.onRemove?.($$props.attachment.id),stopPropagationOnClick:!0,tooltip:"Remove"})};if_block(node_4,$$render=>{$$props.onRemove&&$$render(consequent_2)})}reset(button),template_effect(($0,$1)=>{set_class(button,1,$0),button.disabled=!$$props.onclick,set_text(text2,$1)},[()=>clsx(["flex flex-shrink-0 items-center gap-1.5 rounde\ +d-md border px-2 py-0.75 text-sm transition-colors",getStatusClass($$props.attachment),$$props.onclick&&"cursor-pointer hover:bg-muted/50",$$props.class]),()=>getResourceDisplayName($$props.attachment.resource)]),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor5,button)},$$slots:{default:!0}})});var node_5=sibling(node_1,2);component(node_5,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{ +var div=root_7$u(),node_6=child(div);{var consequent_3=$$anchor6=>{var img=root_8$t();template_effect(()=>{set_attribute(img,"alt",$$props.attachment.resource.serverName),set_attribute(img,"src",get$3(favicon))}),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor6,img)};if_block(node_6,$$render=>{get$3(favicon)&&$$render(consequent_3)})}var span_1=sibling(node_6,2),text_1=child(span_1,!0);reset(span_1),reset(div),template_effect(()=>set_text(text_1,get$3( +serverName))),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);const info$1=($$anchor,text2=noop$3)=>{var fragment=comment$2(),node_2=first_child(fragment);{var consequent_1=$$anchor2=>{var span=root_6$u(),text_3=child(span,!0);reset(span),template_effect(()=>set_text(text_3,text2())),append($$anchor2,span)};if_block(node_2,$$render=>{text2()&&$$render(consequent_1)})}append($$anchor,fragment)}; +var root_2$19=from_html("
        "),root_1$13=from_html('
        '),root_3$Y=from_html('
        '),root_4$E=from_html('
        '),root_6$u=from_html(' '),root_9$m=from_html('
        '),root_11$f=from_html(' ',1),root_7$t=from_html(''),root_13$f=from_html('');function ChatAttachmentsListItemThumbnailFile($$anchor,$$props){ +push$1($$props,!0);const textPreview=($$anchor2,content2=noop$3)=>{var div=root_1$13(),div_1=child(div),text_1=child(div_1,!0);reset(div_1);var node2=sibling(div_1,2);{var consequent=$$anchor3=>{var div_2=root_2$19();template_effect(()=>set_class(div_2,1,`pointer-events-none absolute right-0 bottom-0 left-0 h-4 bg-gradient-to-t from-muted to-transparent ${readonly2()?"h-6":""}`)),append($$anchor3,div_2)};if_block(node2,$$render=>{content2().length>150&&$$render(consequent)})}reset(div),template_effect( +$0=>{set_class(div_1,1,`font-mono text-xs leading-relaxed break-words whitespace-pre-wrap text-muted-foreground ${readonly2()?"":"max-h-3rem line-height-1.2"}`),set_text(text_1,$0)},[()=>getPreviewText(content2())]),append($$anchor2,div)},removeButton=$$anchor2=>{var div_3=root_3$Y(),node_1=child(div_3);ActionIcon(node_1,{get icon(){return X},tooltip:"Remove",stopPropagationOnClick:!0,onclick:()=>$$props.onRemove?.($$props.id)}),reset(div_3),append($$anchor2,div_3)},fileIcon=$$anchor2=>{var div_4=root_4$E(), +text_2=child(div_4,!0);reset(div_4),template_effect(()=>set_text(text_2,get$3(fileTypeLabel))),append($$anchor2,div_4)};let className=prop($$props,"class",3,""),readonly2=prop($$props,"readonly",3,!1),isPdf=user_derived(()=>isPdfFile$1($$props.attachment,$$props.uploadedFile)),isPdfWithContent=user_derived(()=>get$3(isPdf)&&!!$$props.textContent),isText=user_derived(()=>isTextFile($$props.attachment,$$props.uploadedFile)),isTextWithContent=user_derived(()=>get$3(isText)&&!!$$props.textContent),fileTypeLabel=user_derived( +()=>{if($$props.uploadedFile?.type)return getFileTypeLabel($$props.uploadedFile.type);if($$props.attachment){if("mimeType"in $$props.attachment&&$$props.attachment.mimeType)return getFileTypeLabel($$props.attachment.mimeType);if($$props.attachment.type)return getFileTypeLabel($$props.attachment.type)}return getFileTypeLabel($$props.name)}),pdfProcessingMode=user_derived(()=>$$props.attachment?.type===AttachmentType.PDF?$$props.attachment.processedAsImages?"Sent as Image":"Sent as Text":null);var fragment_1=comment$2(), +node_3=first_child(fragment_1);{var consequent_6=$$anchor2=>{var button=root_7$t(),node_4=child(button);{var consequent_2=$$anchor3=>{removeButton($$anchor3)};if_block(node_4,$$render=>{readonly2()||$$render(consequent_2)})}var div_5=sibling(node_4,2),node_5=child(div_5);{var consequent_4=$$anchor3=>{var div_6=root_9$m(),div_7=child(div_6),span_1=child(div_7),text_4=child(span_1,!0);reset(span_1);var node_6=sibling(span_1,2);{let $0=user_derived(()=>get$3(pdfProcessingMode)||($$props.size?formatFileSize( +$$props.size):void 0));info$1(node_6,()=>get$3($0))}var node_7=sibling(node_6,2);{var consequent_3=$$anchor4=>{textPreview($$anchor4,()=>$$props.textContent)};if_block(node_7,$$render=>{$$props.textContent&&$$render(consequent_3)})}reset(div_7),reset(div_6),template_effect(()=>set_text(text_4,$$props.name)),append($$anchor3,div_6)},alternate=$$anchor3=>{var fragment_4=root_11$f(),span_2=first_child(fragment_4),text_5=child(span_2,!0);reset(span_2);var node_8=sibling(span_2,2);{var consequent_5=$$anchor4=>{ +textPreview($$anchor4,()=>$$props.textContent)};if_block(node_8,$$render=>{$$props.textContent&&$$render(consequent_5)})}template_effect(()=>set_text(text_5,$$props.name)),append($$anchor3,fragment_4)};if_block(node_5,$$render=>{readonly2()?$$render(consequent_4):$$render(alternate,-1)})}reset(div_5),reset(button),template_effect(()=>{set_attribute(button,"aria-label",readonly2()?`Preview ${$$props.name}`:void 0),set_class(button,1,`rounded-lg border border-border bg-muted p-3 ${className()??""}\ + cursor-pointer ${readonly2()?"w-full max-w-2xl transition-shadow hover:shadow-md":`group relative text-left ${$$props.textContent?"max-h-24 max-w-72":"max-w-36"}`} overflow-hidden`),set_class(div_5,1,clsx([!readonly2()&&"pr-8","overflow-hidden"]))}),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor2,button)},alternate_1=$$anchor2=>{var button_1=root_13$f(),node_9=child(button_1);fileIcon(node_9);var div_8=sibling(node_9,2),span_3=child(div_8),text_6=child( +span_3,!0);reset(span_3);var node_10=sibling(span_3,2);{let $0=user_derived(()=>get$3(pdfProcessingMode)||($$props.size?formatFileSize($$props.size):void 0));info$1(node_10,()=>get$3($0))}reset(div_8);var node_11=sibling(div_8,2);{var consequent_7=$$anchor3=>{removeButton($$anchor3)};if_block(node_11,$$render=>{readonly2()||$$render(consequent_7)})}reset(button_1),template_effect(()=>{set_class(button_1,1,`group flex items-center gap-3 rounded-lg border border-border bg-muted p-3 ${className()?? +""} relative`),set_class(span_3,1,`max-w-24 truncate text-sm font-medium text-foreground ${readonly2()?"":"group-hover:pr-6"} md:max-w-32`),set_text(text_6,$$props.name)}),delegated("click",button_1,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor2,button_1)};if_block(node_3,$$render=>{get$3(isTextWithContent)||get$3(isPdfWithContent)?$$render(consequent_6):$$render(alternate_1,-1)})}append($$anchor,fragment_1),pop()}delegate(["click"]);var root_1$12=from_html(""), +root_2$18=from_html(''),root_4$D=from_html('
        '),root$1I=from_html("
        ");function ChatAttachmentsListItemThumbnailImage($$anchor,$$props){push$1($$props,!0);const image2=$$anchor2=>{var img=root_1$12();template_effect( +()=>{set_attribute(img,"src",$$props.preview),set_attribute(img,"alt",$$props.name),set_class(img,1,`${height()??""} ${width()??""} cursor-pointer object-cover ${imageClass()??""}`)}),append($$anchor2,img)};let className=prop($$props,"class",3,""),height=prop($$props,"height",3,"h-16"),imageClass=prop($$props,"imageClass",3,""),readonly2=prop($$props,"readonly",3,!1),width=prop($$props,"width",3,"w-auto");var div=root$1I(),node2=child(div);{var consequent=$$anchor2=>{var button=root_2$18(),node_1=child( +button);image2(node_1),reset(button),template_effect(()=>set_attribute(button,"aria-label",`Preview ${$$props.name??""}`)),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor2,button)},alternate=$$anchor2=>{image2($$anchor2)};if_block(node2,$$render=>{$$props.onclick?$$render(consequent):$$render(alternate,-1)})}var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{var div_1=root_4$D(),node_3=child(div_1);ActionIcon(node_3,{class:"text-white",get icon(){ +return X},onclick:()=>$$props.onRemove?.($$props.id),stopPropagationOnClick:!0,tooltip:"Remove"}),reset(div_1),append($$anchor2,div_1)};if_block(node_2,$$render=>{readonly2()||$$render(consequent_1)})}reset(div),template_effect(()=>set_class(div,1,`group relative overflow-hidden rounded-lg bg-muted shadow-lg dark:border dark:border-muted ${className()??""}`)),append($$anchor,div),pop()}delegate(["click"]);class ModelsService{static async list(){return apiFetch(API_MODELS.LIST)}static async listRouter(){ +return apiFetch(API_MODELS.LIST)}static async load(modelId,extraArgs){const payload={model:modelId};return extraArgs&&extraArgs.length>0&&(payload.extra_args=extraArgs),apiPost(API_MODELS.LOAD,payload)}static async unload(modelId){return apiPost(API_MODELS.UNLOAD,{model:modelId})}static isModelLoaded(model){return model.status.value===ServerModelStatus.LOADED}static isModelLoading(model){return model.status.value===ServerModelStatus.LOADING}static parseModelId(modelId){const result={raw:modelId, +orgName:null,modelName:null,params:null,activatedParams:null,quantization:null,tags:[]},colonIdx=modelId.indexOf(MODEL_ID_QUANTIZATION_SEPARATOR);let modelPath;colonIdx!==MODEL_ID_NOT_FOUND?(result.quantization=modelId.slice(colonIdx+1)||null,modelPath=modelId.slice(0,colonIdx)):modelPath=modelId;const slashIdx=modelPath.indexOf(MODEL_ID_ORG_SEPARATOR);let modelStr;slashIdx!==MODEL_ID_NOT_FOUND?(result.orgName=modelPath.slice(0,slashIdx),modelStr=modelPath.slice(slashIdx+1)):modelStr=modelPath;const dotIdx=modelStr. +lastIndexOf(".");if(dotIdx!==MODEL_ID_NOT_FOUND&&!result.quantization){const afterDot=modelStr.slice(dotIdx+1);MODEL_QUANTIZATION_SEGMENT_RE.test(afterDot)&&(result.quantization=afterDot,modelStr=modelStr.slice(0,dotIdx))}const segments=modelStr.split(MODEL_ID_SEGMENT_SEPARATOR);if(!result.quantization&&segments.length>1){const last=segments[segments.length-1],secondLast=segments.length>2?segments[segments.length-2]:null;MODEL_QUANTIZATION_SEGMENT_RE.test(last)&&(secondLast&&MODEL_CUSTOM_QUANTIZATION_PREFIX_RE. +test(secondLast)?(result.quantization=`${secondLast}-${last}`,segments.splice(segments.length-2,2)):(result.quantization=last,segments.pop()))}let paramsIdx=MODEL_ID_NOT_FOUND,activatedParamsIdx=MODEL_ID_NOT_FOUND;for(let i=0;i{const absIdx=paramsIdx+1+relIdx;return absIdx===activatedParamsIdx?!1:!MODEL_IGNORED_SEGMENTS.has(segments[absIdx].toUpperCase())})),result}}class RouterService{static chat(id2){return`${ROUTES.CHAT}/${id2}`}static settings(section){return`${ROUTES. +SETTINGS}/${section}`}}class ConversationsStore{#conversations=state$1(proxy([]));get conversations(){return get$3(this.#conversations)}set conversations(value){set$1(this.#conversations,value,!0)}#activeConversation=state$1(null);get activeConversation(){return get$3(this.#activeConversation)}set activeConversation(value){set$1(this.#activeConversation,value,!0)}#activeMessages=state$1(proxy([]));get activeMessages(){return get$3(this.#activeMessages)}set activeMessages(value){set$1(this.#activeMessages, +value,!0)}#isInitialized=state$1(!1);get isInitialized(){return get$3(this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#pendingMcpServerOverrides=state$1(proxy(ConversationsStore.loadMcpDefaults()));get pendingMcpServerOverrides(){return get$3(this.#pendingMcpServerOverrides)}set pendingMcpServerOverrides(value){set$1(this.#pendingMcpServerOverrides,value,!0)}static loadMcpDefaults(){if(typeof globalThis.localStorage>"u")return[];try{const raw2=localStorage.getItem( +MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY);if(!raw2)return[];const parsed=JSON.parse(raw2);return Array.isArray(parsed)?parsed.filter(o=>typeof o=="object"&&o!==null&&"serverId"in o&&"enabled"in o):[]}catch{return[]}}saveMcpDefaults(){if(typeof globalThis.localStorage>"u")return;const plain=this.pendingMcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.enabled}));plain.length>0?localStorage.setItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY,JSON.stringify(plain)):localStorage.removeItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY)}titleUpdateConfirmationCallback;messageUpdateCallback=null;async init(){ +if(!this.isInitialized)try{await runLegacyMigration(),await this.loadConversations(),this.isInitialized=!0}catch(error2){console.error("Failed to initialize conversations:",error2)}}async initialize(){return this.init()}registerMessageUpdateCallback(callback){this.messageUpdateCallback=callback}addMessageToActive(message){this.activeMessages.push(message)}updateMessageAtIndex(index2,updates){index2!==-1&&this.activeMessages[index2]&&(this.activeMessages[index2]={...this.activeMessages[index2],...updates})}findMessageIndex(messageId){ +return this.activeMessages.findIndex(m=>m.id===messageId)}sliceActiveMessages(startIndex){this.activeMessages=this.activeMessages.slice(0,startIndex)}removeMessageAtIndex(index2){if(index2!==-1)return this.activeMessages.splice(index2,1)[0]}setTitleUpdateConfirmationCallback(callback){this.titleUpdateConfirmationCallback=callback}async loadConversations(){const conversations2=await DatabaseService.getAllConversations();this.conversations=conversations2}async createConversation(name){const conversationName=name|| +`Chat ${new Date().toLocaleString()}`,conversation=await DatabaseService.createConversation(conversationName);if(this.pendingMcpServerOverrides.length>0){const plainOverrides=this.pendingMcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.enabled}));conversation.mcpServerOverrides=plainOverrides,await DatabaseService.updateConversation(conversation.id,{mcpServerOverrides:plainOverrides}),this.pendingMcpServerOverrides=[]}return this.conversations=[conversation,...this.conversations],this.activeConversation= +conversation,this.activeMessages=[],await goto(RouterService.chat(conversation.id)),conversation.id}async loadConversation(convId){try{const conversation=await DatabaseService.getConversation(convId);if(!conversation)return!1;if(this.pendingMcpServerOverrides=[],this.activeConversation=conversation,conversation.currNode){const allMessages=await DatabaseService.getConversationMessages(convId),filteredMessages=filterByLeafNodeId(allMessages,conversation.currNode,!1);this.activeMessages=filteredMessages}else{ +const messages=await DatabaseService.getConversationMessages(convId);this.activeMessages=messages}return!0}catch(error2){return console.error("Failed to load conversation:",error2),!1}}clearActiveConversation(){this.activeConversation=null,this.activeMessages=[],this.pendingMcpServerOverrides=ConversationsStore.loadMcpDefaults()}async deleteConversation(convId,options){try{if(await DatabaseService.deleteConversation(convId,options),options?.deleteWithForks){const idsToRemove=new SvelteSet([convId]), +queue=[convId];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of this.conversations)c2.forkedFromConversationId===parentId&&!idsToRemove.has(c2.id)&&(idsToRemove.add(c2.id),queue.push(c2.id))}this.conversations=this.conversations.filter(c2=>!idsToRemove.has(c2.id)),this.activeConversation&&idsToRemove.has(this.activeConversation.id)&&(this.clearActiveConversation(),await goto(ROUTES.NEW_CHAT))}else{const newParent=this.conversations.find(c2=>c2.id===convId)?.forkedFromConversationId; +this.conversations=this.conversations.filter(c2=>c2.id!==convId).map(c2=>c2.forkedFromConversationId===convId?{...c2,forkedFromConversationId:newParent}:c2),this.activeConversation?.id===convId&&(this.clearActiveConversation(),await goto(ROUTES.NEW_CHAT))}}catch(error2){console.error("Failed to delete conversation:",error2)}}async deleteAll(){try{const allConversations=await DatabaseService.getAllConversations();for(const conv of allConversations)await DatabaseService.deleteConversation(conv.id); +this.clearActiveConversation(),this.conversations=[],toast.success("All conversations deleted"),await goto(ROUTES.NEW_CHAT)}catch(error2){console.error("Failed to delete all conversations:",error2),toast.error("Failed to delete conversations")}}async refreshActiveMessages(){if(!this.activeConversation)return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id);if(allMessages.length===0){this.activeMessages=[];return}const leafNodeId=this.activeConversation. +currNode||allMessages.reduce((latest,msg)=>msg.timestamp>latest.timestamp?msg:latest).id,currentPath=filterByLeafNodeId(allMessages,leafNodeId,!1);this.activeMessages=currentPath}async getConversationMessages(convId){return await DatabaseService.getConversationMessages(convId)}async updateConversationName(convId,name){try{await DatabaseService.updateConversation(convId,{name});const convIndex=this.conversations.findIndex(c2=>c2.id===convId);convIndex!==-1&&(this.conversations[convIndex].name=name, +this.conversations=[...this.conversations]),this.activeConversation?.id===convId&&(this.activeConversation={...this.activeConversation,name})}catch(error2){console.error("Failed to update conversation name:",error2)}}async updateConversationTitleWithConfirmation(convId,newTitle){try{if(config$1().askForTitleConfirmation&&this.titleUpdateConfirmationCallback){const conversation=await DatabaseService.getConversation(convId);if(!conversation||!await this.titleUpdateConfirmationCallback(conversation. +name,newTitle))return!1}return await this.updateConversationName(convId,newTitle),!0}catch(error2){return console.error("Failed to update conversation title with confirmation:",error2),!1}}updateConversationTimestamp(){if(!this.activeConversation)return;const chatIndex=this.conversations.findIndex(c2=>c2.id===this.activeConversation.id);if(chatIndex!==-1){this.conversations[chatIndex].lastModified=Date.now();const updatedConv=this.conversations.splice(chatIndex,1)[0];this.conversations=[updatedConv, +...this.conversations]}}async updateCurrentNode(nodeId){this.activeConversation&&(await DatabaseService.updateCurrentNode(this.activeConversation.id,nodeId),this.activeConversation={...this.activeConversation,currNode:nodeId})}async navigateToSibling(siblingId){if(!this.activeConversation)return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),currentFirstUserMessage=this.activeMessages.find( +m=>m.role===MessageRole.USER&&m.parent===rootMessage?.id),currentLeafNodeId=findLeafNode(allMessages,siblingId);if(await DatabaseService.updateCurrentNode(this.activeConversation.id,currentLeafNodeId),this.activeConversation={...this.activeConversation,currNode:currentLeafNodeId},await this.refreshActiveMessages(),rootMessage&&this.activeMessages.length>0){const newFirstUserMessage=this.activeMessages.find(m=>m.role===MessageRole.USER&&m.parent===rootMessage.id);newFirstUserMessage&&newFirstUserMessage. +content.trim()&&(!currentFirstUserMessage||newFirstUserMessage.id!==currentFirstUserMessage.id||newFirstUserMessage.content.trim()!==currentFirstUserMessage.content.trim())&&await this.updateConversationTitleWithConfirmation(this.activeConversation.id,generateConversationTitle(newFirstUserMessage.content,!!config$1().titleGenerationUseFirstLine))}}getMcpServerOverride(serverId){return this.activeConversation?this.activeConversation.mcpServerOverrides?.find(o=>o.serverId===serverId):this.pendingMcpServerOverrides. +find(o=>o.serverId===serverId)}getAllMcpServerOverrides(){return this.activeConversation?.mcpServerOverrides?this.activeConversation.mcpServerOverrides:this.pendingMcpServerOverrides}isMcpServerEnabledForChat(serverId){return this.getMcpServerOverride(serverId)?.enabled??!1}async setMcpServerOverride(serverId,enabled){if(!this.activeConversation){this.setPendingMcpServerOverride(serverId,enabled);return}const currentOverrides=(this.activeConversation.mcpServerOverrides||[]).map(o=>({serverId:o.serverId, +enabled:o.enabled}));let newOverrides;if(enabled===void 0)newOverrides=currentOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=currentOverrides.findIndex(o=>o.serverId===serverId);existingIndex>=0?(newOverrides=[...currentOverrides],newOverrides[existingIndex]={serverId,enabled}):newOverrides=[...currentOverrides,{serverId,enabled}]}await DatabaseService.updateConversation(this.activeConversation.id,{mcpServerOverrides:newOverrides.length>0?newOverrides:void 0}),this.activeConversation= +{...this.activeConversation,mcpServerOverrides:newOverrides.length>0?newOverrides:void 0};const convIndex=this.conversations.findIndex(c2=>c2.id===this.activeConversation.id);convIndex!==-1&&(this.conversations[convIndex].mcpServerOverrides=newOverrides.length>0?newOverrides:void 0,this.conversations=[...this.conversations])}setPendingMcpServerOverride(serverId,enabled){if(enabled===void 0)this.pendingMcpServerOverrides=this.pendingMcpServerOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=this. +pendingMcpServerOverrides.findIndex(o=>o.serverId===serverId);if(existingIndex>=0){const newOverrides=[...this.pendingMcpServerOverrides];newOverrides[existingIndex]={serverId,enabled},this.pendingMcpServerOverrides=newOverrides}else this.pendingMcpServerOverrides=[...this.pendingMcpServerOverrides,{serverId,enabled}]}this.saveMcpDefaults()}async toggleMcpServerForChat(serverId){const currentEnabled=this.isMcpServerEnabledForChat(serverId);await this.setMcpServerOverride(serverId,!currentEnabled)}async removeMcpServerOverride(serverId){ +await this.setMcpServerOverride(serverId,void 0)}clearPendingMcpServerOverrides(){this.pendingMcpServerOverrides=[],this.saveMcpDefaults()}async forkConversation(messageId,options){if(!this.activeConversation)return null;try{const newConv=await DatabaseService.forkConversation(this.activeConversation.id,messageId,options);return this.conversations=[newConv,...this.conversations],await goto(RouterService.chat(newConv.id)),toast.success("Conversation forked"),newConv.id}catch(error2){return console. +error("Failed to fork conversation:",error2),toast.error("Failed to fork conversation"),null}}generateConversationFilename(conversation,msgs){const sanitizedName=(conversation.name??"").trim().toLowerCase().replace(NON_ALPHANUMERIC_REGEX,EXPORT_CONV_NONALNUM_REPLACEMENT).replace(MULTIPLE_UNDERSCORE_REGEX,"_").substring(0,EXPORT_CONV_NAME_SUFFIX_MAX_LENGTH),formattedDate=(msgs?.length?new Date(Math.max(...msgs.map(m=>m.timestamp))):new Date).toISOString().slice(0,ISO_TIMESTAMP_SLICE_LENGTH).replace( +ISO_DATE_TIME_SEPARATOR,ISO_DATE_TIME_SEPARATOR_REPLACEMENT).replaceAll(ISO_TIME_SEPARATOR,ISO_TIME_SEPARATOR_REPLACEMENT),trimmedConvId=conversation.id?.slice(0,EXPORT_CONV_ID_TRIM_LENGTH)??"";return`${formattedDate}_conv_${trimmedConvId}_${sanitizedName}.json`}downloadConversationFile(data,filename){const conversation="conv"in data?data.conv:Array.isArray(data)?data[0]?.conv:void 0,msgs="messages"in data?data.messages:Array.isArray(data)?data[0]?.messages:void 0;if(!conversation){console.error( +"Invalid data: missing conversation");return}let downloadFilename;filename?downloadFilename=filename:Array.isArray(data)&&data.length>1?downloadFilename=`${new Date().toISOString().split(ISO_DATE_TIME_SEPARATOR)[0]}_conversations.json`:downloadFilename=this.generateConversationFilename(conversation,msgs);const blob=new Blob([JSON.stringify(data,null,2)],{type:"application/json"}),url2=URL.createObjectURL(blob),a=document.createElement("a");a.href=url2,a.download=downloadFilename,document.body.appendChild( +a),a.click(),document.body.removeChild(a),URL.revokeObjectURL(url2)}async downloadConversation(convId){let conversation,messages;if(this.activeConversation?.id===convId)conversation=this.activeConversation,messages=this.activeMessages;else{if(conversation=await DatabaseService.getConversation(convId),!conversation)return;messages=await DatabaseService.getConversationMessages(convId)}this.downloadConversationFile({conv:conversation,messages})}async importConversations(){return new Promise((resolve2,reject)=>{ +const input=document.createElement("input");input.type=HtmlInputType.FILE,input.accept=FileExtensionText.JSON,input.onchange=async e=>{const file=e.target?.files?.[0];if(!file){reject(new Error("No file selected"));return}try{const text2=await file.text(),parsedData=JSON.parse(text2);let importedData;if(Array.isArray(parsedData))importedData=parsedData;else if(parsedData&&typeof parsedData=="object"&&"conv"in parsedData&&"messages"in parsedData)importedData=[parsedData];else throw new Error("Inv\ +alid file format");const result=await DatabaseService.importConversations(importedData);toast.success(`Imported ${result.imported} conversation(s), skipped ${result.skipped}`),await this.loadConversations();const importedConversations=(Array.isArray(importedData)?importedData:[importedData]).map(item=>item.conv);resolve2(importedConversations)}catch(err){const message=err instanceof Error?err.message:"Unknown error";console.error("Failed to import conversations:",err),toast.error("Import failed", +{description:message}),reject(new Error(`Import failed: ${message}`))}},input.click()})}async importConversationsData(data){const result=await DatabaseService.importConversations(data);return await this.loadConversations(),result}}const conversationsStore=new ConversationsStore;conversationsStore.init();const conversations=()=>conversationsStore.conversations,activeConversation=()=>conversationsStore.activeConversation,activeMessages=()=>conversationsStore.activeMessages,isConversationsInitialized=()=>conversationsStore. +isInitialized;function buildConversationTree(convs){const childrenByParent=new SvelteMap,forkIds=new SvelteSet;for(const conv of convs)if(conv.forkedFromConversationId){forkIds.add(conv.id);const siblings2=childrenByParent.get(conv.forkedFromConversationId)||[];siblings2.push(conv),childrenByParent.set(conv.forkedFromConversationId,siblings2)}const result=[],visited=new SvelteSet;function walk(conv,depth){visited.add(conv.id),result.push({conversation:conv,depth});const children=childrenByParent. +get(conv.id);if(children){children.sort((a,b)=>b.lastModified-a.lastModified);for(const child2 of children)walk(child2,depth+1)}}const roots=convs.filter(c2=>!forkIds.has(c2.id));for(const root2 of roots)walk(root2,0);for(const conv of convs)visited.has(conv.id)||walk(conv,1);return result}class ModelsStore{#models=state$1(proxy([]));get models(){return get$3(this.#models)}set models(value){set$1(this.#models,value,!0)}#routerModels=state$1(proxy([]));get routerModels(){return get$3(this.#routerModels)}set routerModels(value){ +set$1(this.#routerModels,value,!0)}#loading=state$1(!1);get loading(){return get$3(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#updating=state$1(!1);get updating(){return get$3(this.#updating)}set updating(value){set$1(this.#updating,value,!0)}#error=state$1(null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value,!0)}#selectedModelId=state$1(null);get selectedModelId(){return get$3(this.#selectedModelId)}set selectedModelId(value){set$1(this.#selectedModelId, +value,!0)}#selectedModelName=state$1(null);get selectedModelName(){return get$3(this.#selectedModelName)}set selectedModelName(value){set$1(this.#selectedModelName,value,!0)}inflightFetch=null;#modelUsage=state$1(proxy(new Map));get modelUsage(){return get$3(this.#modelUsage)}set modelUsage(value){set$1(this.#modelUsage,value,!0)}modelLoadingStates=new SvelteMap;#favoriteModelIds=state$1(proxy(this.loadFavoritesFromStorage()));get favoriteModelIds(){return get$3(this.#favoriteModelIds)}set favoriteModelIds(value){ +set$1(this.#favoriteModelIds,value,!0)}modelPropsCache=new TTLCache({ttlMs:MODEL_PROPS_CACHE_TTL_MS,maxEntries:MODEL_PROPS_CACHE_MAX_ENTRIES});#modelPropsFetching=state$1(proxy(new Set));get modelPropsFetching(){return get$3(this.#modelPropsFetching)}set modelPropsFetching(value){set$1(this.#modelPropsFetching,value,!0)}#propsCacheVersion=state$1(0);get propsCacheVersion(){return get$3(this.#propsCacheVersion)}set propsCacheVersion(value){set$1(this.#propsCacheVersion,value,!0)}get selectedModel(){ +return this.selectedModelId?this.models.find(model=>model.id===this.selectedModelId)??null:null}get loadedModelIds(){return this.routerModels.filter(m=>m.status.value===ServerModelStatus.LOADED||m.status.value===ServerModelStatus.SLEEPING).map(m=>m.id)}get loadingModelIds(){return Array.from(this.modelLoadingStates.entries()).filter(([,loading])=>loading).map(([id2])=>id2)}get singleModelName(){if(serverStore.isRouterMode)return null;const props=serverStore.props;return props?.model_alias?props. +model_alias:props?.model_path&&props.model_path.split(/(\\|\/)/).pop()||null}getModelModalities(modelId){const model=this.models.find(m=>m.model===modelId||m.id===modelId);if(model?.modalities)return model.modalities;const props=this.modelPropsCache.get(modelId);return props?.modalities?{vision:props.modalities.vision??!1,audio:props.modalities.audio??!1}:null}modelSupportsVision(modelId){return this.getModelModalities(modelId)?.vision??!1}modelSupportsAudio(modelId){return this.getModelModalities( +modelId)?.audio??!1}getModelModalitiesArray(modelId){const modalities=this.getModelModalities(modelId);if(!modalities)return[];const result=[];return modalities.vision&&result.push(ModelModality.VISION),modalities.audio&&result.push(ModelModality.AUDIO),result}getModelProps(modelId){return this.modelPropsCache.get(modelId)}getModelContextSize(modelId){const nCtx=this.getModelProps(modelId)?.default_generation_settings?.n_ctx;return typeof nCtx=="number"?nCtx:null}get selectedModelContextSize(){return this. +selectedModelName?this.getModelContextSize(this.selectedModelName):null}isModelPropsFetching(modelId){return this.modelPropsFetching.has(modelId)}isModelLoaded(modelId){const model=this.routerModels.find(m=>m.id===modelId);return model?.status.value===ServerModelStatus.LOADED||model?.status.value===ServerModelStatus.SLEEPING||!1}isModelOperationInProgress(modelId){return this.modelLoadingStates.get(modelId)??!1}getModelStatus(modelId){return this.routerModels.find(m=>m.id===modelId)?.status.value?? +null}getModelUsage(modelId){return this.modelUsage.get(modelId)??new SvelteSet}isModelInUse(modelId){const usage=this.modelUsage.get(modelId);return usage!==void 0&&usage.size>0}async fetch(force=!1){if(this.inflightFetch)return this.inflightFetch;if(!(this.models.length>0&&!force)){this.inflightFetch=this.runFetch();try{await this.inflightFetch}finally{this.inflightFetch=null}}}async runFetch(){this.loading=!0,this.error=null;try{serverStore.props||await serverStore.fetch();const response=await ModelsService. +list(),models=response.data.map((item,index2)=>{const details=response.models?.[index2],rawCapabilities=Array.isArray(details?.capabilities)?details?.capabilities:[],displayNameSource=details?.name&&details.name.trim().length>0?details.name:item.id,displayName=this.toDisplayName(displayNameSource),modelId=details?.model||item.id;return{id:item.id,name:displayName,model:modelId,description:details?.description,capabilities:rawCapabilities.filter(value=>!!value),details:details?.details,meta:item. +meta??null,parsedId:ModelsService.parseModelId(modelId),aliases:item.aliases??[],tags:item.tags??[]}});this.models=models;const serverProps2=serverStore.props;if(serverStore.isModelMode&&this.models.length>0&&serverProps2?.modalities){const modalities={vision:serverProps2.modalities.vision??!1,audio:serverProps2.modalities.audio??!1};this.modelPropsCache.set(this.models[0].model,serverProps2),this.models=this.models.map((model,index2)=>index2===0?{...model,modalities}:model)}}catch(error2){throw this. +models=[],this.error=error2 instanceof Error?error2.message:"Failed to load models",error2}finally{this.loading=!1}}async fetchRouterModels(){try{const response=await ModelsService.listRouter();this.routerModels=response.data,await this.fetchModalitiesForLoadedModels();const o=this.models.filter(option2=>this.getModelProps(option2.model)?.webui!==!1);o.length===1&&this.isModelLoaded(o[0].model)&&this.selectModelById(o[0].id)}catch(error2){console.warn("Failed to fetch router models:",error2),this. +routerModels=[]}}async fetchModelProps(modelId){const cached2=this.modelPropsCache.get(modelId);if(cached2)return cached2;if(serverStore.isRouterMode&&!this.isModelLoaded(modelId)||this.modelPropsFetching.has(modelId))return null;this.modelPropsFetching.add(modelId);try{const props=await PropsService.fetchForModel(modelId);return this.modelPropsCache.set(modelId,props),props}catch(error2){return console.warn(`Failed to fetch props for model ${modelId}:`,error2),null}finally{this.modelPropsFetching. +delete(modelId)}}async fetchModalitiesForLoadedModels(){const loadedModelIds2=this.loadedModelIds;if(loadedModelIds2.length===0)return;const propsPromises=loadedModelIds2.map(modelId=>this.fetchModelProps(modelId));try{const results=await Promise.all(propsPromises);this.models=this.models.map(model=>{const modelIndex=loadedModelIds2.indexOf(model.model);if(modelIndex===-1)return model;const props=results[modelIndex];if(!props?.modalities)return model;const modalities={vision:props.modalities.vision?? +!1,audio:props.modalities.audio??!1};return{...model,modalities}}),this.propsCacheVersion++}catch(error2){console.warn("Failed to fetch modalities for loaded models:",error2)}}getModelFromLastAssistantResponse(){const messages=conversationsStore.activeMessages;if(!messages||messages.length===0)return null;for(let i=messages.length-1;i>=0;i--)if(messages[i].model)return messages[i].model;return null}async selectModelFromLastAssistantResponse(){const lastModel=this.getModelFromLastAssistantResponse(); +if(!lastModel||this.selectedModelName===lastModel)return!1;const matchingModel=this.models.find(option2=>option2.model===lastModel);if(!matchingModel)return!1;if(!this.isModelLoaded(lastModel))return console.log("[modelsStore] last assistant model not loaded:",lastModel),!1;try{return await this.selectModelById(matchingModel.id),console.log(`[modelsStore] Automatically selected model: ${lastModel} from last message`),!0}catch(error2){return console.warn("[modelsStore] Failed to automatically sel\ +ect model from last message:",error2),!1}}async ensureFirstModelSelected(){if(this.selectedModelName)return;const availableModels=this.models.filter(option2=>this.getModelProps(option2.model)?.webui!==!1);if(availableModels.length===0)return;const lastModel=this.getModelFromLastAssistantResponse();if(lastModel){const lastModelOption=availableModels.find(m=>m.model===lastModel);if(lastModelOption){await this.selectModelById(lastModelOption.id),this.isModelLoaded(lastModel)&&await this.fetchModelProps( +lastModel);return}}const loadedModel=availableModels.find(m=>this.isModelLoaded(m.model));if(loadedModel){await this.selectModelById(loadedModel.id),await this.fetchModelProps(loadedModel.model);return}const firstModel=availableModels[0];await this.selectModelById(firstModel.id)}async updateModelModalities(modelId){try{const props=await this.fetchModelProps(modelId);if(!props?.modalities)return;const modalities={vision:props.modalities.vision??!1,audio:props.modalities.audio??!1};this.models=this. +models.map(model=>model.model===modelId?{...model,modalities}:model),this.propsCacheVersion++}catch(error2){console.warn(`Failed to update modalities for model ${modelId}:`,error2)}}async selectModelById(modelId){if(!modelId||this.updating||this.selectedModelId===modelId)return;const option2=this.models.find(model=>model.id===modelId);if(!option2)throw new Error("Selected model is not available");this.updating=!0,this.error=null;try{this.selectedModelId=option2.id,this.selectedModelName=option2. +model}finally{this.updating=!1}}selectModelByName(modelName){const option2=this.models.find(model=>model.model===modelName);option2&&(this.selectedModelId=option2.id,this.selectedModelName=option2.model)}clearSelection(){this.selectedModelId=null,this.selectedModelName=null}findModelByName(modelName){return this.models.find(model=>model.model===modelName)??null}findModelById(modelId){return this.models.find(model=>model.id===modelId)??null}hasModel(modelName){return this.models.some(model=>model. +model===modelName)}static STATUS_POLL_INTERVAL=500;async pollForModelStatus(modelId,expectedStatus){let attempt=0;for(;;){await this.fetchRouterModels();const currentStatus=this.getModelStatus(modelId);if(currentStatus===expectedStatus)return;if(currentStatus===ServerModelStatus.FAILED)throw new Error(`Model failed to ${expectedStatus===ServerModelStatus.LOADED?"load":"unload"}`);if(expectedStatus===ServerModelStatus.LOADED&¤tStatus===ServerModelStatus.UNLOADED&&attempt>2)throw new Error("\ +Model was unloaded unexpectedly during loading");attempt++,await new Promise(resolve2=>setTimeout(resolve2,ModelsStore.STATUS_POLL_INTERVAL))}}async loadModel(modelId){if(!this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.load(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.LOADED),await this.updateModelModalities(modelId),toast.success(`Model loaded: ${this.toDisplayName(modelId)}`)}catch(error2){ +throw this.error=error2 instanceof Error?error2.message:"Failed to load model",toast.error(`Failed to load model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async unloadModel(modelId){if(this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.unload(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.UNLOADED),toast.info(`Model unloaded: ${this.toDisplayName( +modelId)}`)}catch(error2){throw this.error=error2 instanceof Error?error2.message:"Failed to unload model",toast.error(`Failed to unload model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async ensureModelLoaded(modelId){this.isModelLoaded(modelId)||await this.loadModel(modelId)}isFavorite(modelId){return this.favoriteModelIds.has(modelId)}toggleFavorite(modelId){const next2=new SvelteSet(this.favoriteModelIds);next2.has(modelId)?next2.delete(modelId): +next2.add(modelId),this.favoriteModelIds=next2;try{localStorage.setItem(FAVORITE_MODELS_LOCALSTORAGE_KEY,JSON.stringify([...next2]))}catch{toast.error("Failed to save favorite models to local storage")}}loadFavoritesFromStorage(){try{const raw2=localStorage.getItem(FAVORITE_MODELS_LOCALSTORAGE_KEY);return raw2?new Set(JSON.parse(raw2)):new Set}catch{return toast.error("Failed to load favorite models from local storage"),new Set}}toDisplayName(id2){const candidate=id2.split(/\\|\//).pop();return candidate&& +candidate.trim().length>0?candidate:id2}clear(){this.models=[],this.routerModels=[],this.loading=!1,this.updating=!1,this.error=null,this.selectedModelId=null,this.selectedModelName=null,this.modelUsage.clear(),this.modelLoadingStates.clear(),this.modelPropsCache.clear(),this.modelPropsFetching.clear()}pruneExpiredCache(){return this.modelPropsCache.prune()}}const modelsStore=new ModelsStore,modelOptions=()=>modelsStore.models,routerModels=()=>modelsStore.routerModels,modelsLoading=()=>modelsStore. +loading,modelsUpdating=()=>modelsStore.updating,selectedModelId=()=>modelsStore.selectedModelId,selectedModelName=()=>modelsStore.selectedModelName,propsCacheVersion=()=>modelsStore.propsCacheVersion,singleModelName=()=>modelsStore.singleModelName,selectedModelContextSize=()=>modelsStore.selectedModelContextSize;var root_1$11=from_html(" ",1),root$1H=from_html('
        ');function ChatAttachmentsPreview($$anchor,$$props){push$1($$props,!0);let uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),attachments=prop($$props,"attachments",19,()=>[]),className=prop($$props,"class",3,""),previewFocusIndex=prop($$props,"previewFocusIndex",3,0),allItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(),attachments:attachments()}).filter(item=>!isMcpPrompt(item)&&!isMcpResource( +item)).map(item=>({...item,isImage:isImageFile(item.attachment,item.uploadedFile),isAudio:isAudioFile(item.attachment,item.uploadedFile)}))),currentIndex=state$1(0);user_effect(()=>{previewFocusIndex()>=0&&previewFocusIndex(){const handler=e=>{e.detail<0?set$1(currentIndex,get$3(currentIndex)>0?get$3(currentIndex)-1:get$3(allItems).length-1,!0):set$1(currentIndex,get$3(currentIndex)document.removeEventListener("chat-attachments-nav",handler)}),user_effect(()=>{const index2=get$3(currentIndex);setTimeout(()=>{document.querySelector(`[data-thumbnail-index="${index2}"]`)?.scrollIntoView({behavior:"smooth",inline:"center",block:"nearest"})},0)});let currentItem=user_derived(()=>get$3(allItems)[get$3(currentIndex)]??null),displayName=user_derived(()=>get$3(currentItem)?.name||get$3(currentItem)?. +uploadedFile?.name||get$3(currentItem)?.attachment?.name||"Unknown File"),isAudio=user_derived(()=>get$3(currentItem)?isAudioFile(get$3(currentItem).attachment,get$3(currentItem).uploadedFile):!1),isImage2=user_derived(()=>get$3(currentItem)?isImageFile(get$3(currentItem).attachment,get$3(currentItem).uploadedFile):!1),isPdf=user_derived(()=>get$3(currentItem)?isPdfFile$1(get$3(currentItem).attachment,get$3(currentItem).uploadedFile):!1),isText=user_derived(()=>get$3(currentItem)?isTextFile(get$3( +currentItem).attachment,get$3(currentItem).uploadedFile):!1),displayPreview=user_derived(()=>get$3(currentItem)?.uploadedFile?.preview||(get$3(isImage2)&&get$3(currentItem)?.attachment&&"base64Url"in get$3(currentItem).attachment?get$3(currentItem).attachment.base64Url:get$3(currentItem)?.preview)),displayTextContent=user_derived(()=>get$3(currentItem)?.uploadedFile?.textContent||(get$3(currentItem)?.attachment&&"content"in get$3(currentItem).attachment?get$3(currentItem).attachment.content:get$3( +currentItem)?.textContent)),language2=user_derived(()=>getLanguageFromFilename(get$3(displayName))),fileSize=user_derived(()=>get$3(currentItem)?.size?formatFileSize(get$3(currentItem).size):""),hasVisionModality=user_derived(()=>get$3(currentItem)&&$$props.activeModelId?modelsStore.modelSupportsVision($$props.activeModelId):!1),audioSrc=user_derived(()=>get$3(isAudio)&&get$3(currentItem)?get$3(currentItem).uploadedFile?.preview??(get$3(currentItem).attachment&&"mimeType"in get$3(currentItem).attachment&& +"base64Data"in get$3(currentItem).attachment?createBase64DataUrl(get$3(currentItem).attachment.mimeType,get$3(currentItem).attachment.base64Data):null):null);function prev2(){set$1(currentIndex,get$3(currentIndex)>0?get$3(currentIndex)-1:get$3(allItems).length-1,!0)}function next2(){set$1(currentIndex,get$3(currentIndex)get$3(allItems).length>1);ChatAttachmentsPreviewNavButtons(node2,{onPrev:prev2,onNext:next2,get show(){return get$3($0)}})}var div_2=sibling(node2,2),node_1=child(div_2);{var consequent=$$anchor2=>{var fragment=root_1$11(),node_2=first_child(fragment);ChatAttachmentsPreviewFileInfo(node_2,{get displayName(){return get$3(displayName)},get fileSize(){return get$3(fileSize)}});var node_3=sibling(node_2,2);ChatAttachmentsPreviewCurrentItem(node_3,{get currentItem(){ +return get$3(currentItem)},get isImage(){return get$3(isImage2)},get isAudio(){return get$3(isAudio)},get isPdf(){return get$3(isPdf)},get isText(){return get$3(isText)},get displayPreview(){return get$3(displayPreview)},get displayTextContent(){return get$3(displayTextContent)},get audioSrc(){return get$3(audioSrc)},get language(){return get$3(language2)},get hasVisionModality(){return get$3(hasVisionModality)},get activeModelId(){return $$props.activeModelId}}),append($$anchor2,fragment)};if_block( +node_1,$$render=>{get$3(currentItem)&&$$render(consequent)})}var node_4=sibling(node_1,2);return ChatAttachmentsPreviewThumbnailStrip(node_4,{get items(){return get$3(allItems)},get currentIndex(){return get$3(currentIndex)},onNavigate}),reset(div_2),reset(div_1),reset(div),template_effect(()=>set_class(div,1,`${className()??""} flex flex-col text-white`)),append($$anchor,div),pop($$exports)}var root_1$10=from_html(" ",1);function ChatAttachmentsPreviewNavButtons($$anchor,$$props){var fragment=comment$2(), +node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=root_1$10(),node_1=first_child(fragment_1);Button(node_1,{variant:"secondary",size:"icon",class:"absolute top-1/2 left-4 z-10 h-8 w-8 -translate-y-1/2 rounded-full bg-background/5 p-0 text-white!",get onclick(){return $$props.onPrev},"aria-label":"Previous",children:($$anchor3,$$slotProps)=>{Chevron_left($$anchor3,{class:"size-4"})},$$slots:{default:!0}});var node_2=sibling(node_1,2);Button(node_2,{variant:"secondary",size:"i\ +con",class:"absolute top-1/2 right-4 z-10 h-8 w-8 -translate-y-1/2 rounded-full bg-background/5 p-0 text-white!",get onclick(){return $$props.onNext},"aria-label":"Next",children:($$anchor3,$$slotProps)=>{Chevron_right($$anchor3,{class:"size-4"})},$$slots:{default:!0}}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.show&&$$render(consequent)})}append($$anchor,fragment)}var root_1$$=from_html('

        '),root$1G=from_html('

        ');function ChatAttachmentsPreviewFileInfo($$anchor,$$props){var div=root$1G(),p2=child(div),text2=child(p2,!0);reset(p2);var node2=sibling(p2,2);{var consequent=$$anchor2=>{var p_1=root_1$$(),text_1=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_1,$$props.fileSize)),append($$anchor2,p_1)};if_block(node2,$$render=>{$$props.fileSize&&$$render(consequent)})}reset(div), +template_effect(()=>set_text(text2,$$props.displayName)),append($$anchor,div)}var root_1$_=from_html('
        ');function Checkbox($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),checked=prop($$props,"checked",15,!1),indeterminate=prop($$props,"indeterminate",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","checked","indeterminate","class"]);var fragment=comment$2(),node2=first_child( +fragment);{const children=($$anchor2,$$arg0)=>{let checked2=()=>$$arg0?.().checked,indeterminate2=()=>$$arg0?.().indeterminate;var div=root_1$_(),node_1=child(div);{var consequent=$$anchor3=>{Check($$anchor3,{class:"size-3.5"})},consequent_1=$$anchor3=>{Minus($$anchor3,{class:"size-3.5"})};if_block(node_1,$$render=>{checked2()?$$render(consequent):indeterminate2()&&$$render(consequent_1,1)})}reset(div),append($$anchor2,div)};let $0=user_derived(()=>cn$1("peer flex size-4 shrink-0 items-center ju\ +stify-center rounded-[4px] border border-input shadow-xs transition-shadow outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 data-[state=checked]:border-primary data-[state=checked]:bg-primary data-[state=checked]:text-primary-foreground dark:bg-input/30 dark:aria-invalid:ring-destructive/40 dark:data-[state=checked]:bg-primary",$$props.class)); +component(node2,()=>Checkbox$1,($$anchor2,CheckboxPrimitive_Root)=>{CheckboxPrimitive_Root($$anchor2,spread_props({"data-slot":"checkbox",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get checked(){return checked()},set checked($$value){checked($$value)},get indeterminate(){return indeterminate()},set indeterminate($$value){indeterminate($$value)},children,$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_1$Z=from_html(""),root_2$17=from_html("");function Input($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),value=prop($$props,"value",15),files=prop($$props,"files",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","value","type","files","class"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$Z();attribute_effect(input,$0=>({"data-slot":"input",class:$0,type:"file",...restProps}),[()=>cn$1("flex h-9 \ +w-full min-w-0 rounded-md border border-input bg-transparent px-3 pt-1.5 text-sm font-medium shadow-xs ring-offset-background transition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-foreground placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:r\ +ing-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input,$$value=>ref2($$value),()=>ref2()),bind_files(input,files),bind_value(input,value),append($$anchor2,input)},alternate=$$anchor2=>{var input_1=root_2$17();attribute_effect(input_1,$0=>({"data-slot":"input",class:$0,style:"backdrop-filter: blur(0.5rem);",type:$$props.type,...restProps}),[()=>cn$1("flex h-9 w-full min-w-0 rounded-md border border-input bg-background px-3 py-1 text-base shadow-xs ring-offset-background tran\ +sition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-foreground placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input_1,$$value=>ref2($$value),()=>ref2()),bind_value(input_1, +value),append($$anchor2,input_1)};if_block(node2,$$render=>{$$props.type==="file"?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_1$Y=from_html(''),root$1F=from_html("
        ");function SearchInput($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15,""),placeholder=prop( +$$props,"placeholder",3,"Search..."),ref2=prop($$props,"ref",15,null),isCancelAlwaysVisible=prop($$props,"isCancelAlwaysVisible",3,!1),showClearButton=user_derived(()=>isCancelAlwaysVisible()||!!value()||!!$$props.onClose);function handleInput(event2){const target2=event2.target;value(target2.value),$$props.onInput?.(target2.value)}function handleClear(){value()?(value(""),$$props.onInput?.(""),ref2()?.focus()):$$props.onClose?.()}var div=root$1F(),node2=child(div);Search(node2,{class:"absolute \ +top-1/2 left-3 z-10 h-4 w-4 -translate-y-1/2 transform text-muted-foreground"});var node_1=sibling(node2,2);{let $0=user_derived(()=>get$3(showClearButton)?"pr-9":"");Input(node_1,{get id(){return $$props.id},get class(){return`pl-9 ${get$3($0)??""}`},oninput:handleInput,get onkeydown(){return $$props.onKeyDown},get placeholder(){return placeholder()},type:"search",get value(){return value()},set value($$value){value($$value)},get ref(){return ref2()},set ref($$value){ref2($$value)}})}var node_2=sibling( +node_1,2);{var consequent=$$anchor2=>{var button=root_1$Y(),node_3=child(button);X(node_3,{class:"h-4 w-4"}),reset(button),template_effect(()=>set_attribute(button,"aria-label",value()?"Clear search":"Close")),delegated("click",button,handleClear),append($$anchor2,button)};if_block(node_2,$$render=>{get$3(showClearButton)&&$$render(consequent)})}reset(div),template_effect(()=>set_class(div,1,`relative ${$$props.class??""}`)),append($$anchor,div),pop()}delegate(["click"]);var root_1$X=from_html("\ + ",1);function Scroll_area_scrollbar($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),orientation=prop($$props,"orientation",3,"vertical"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","orientation","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex touch-none p-px transition-colors select-none",orientation()==="vertical"&&"h-full w-2.5 border-l border-l-transparent",orientation()==="h\ +orizontal"&&"h-2.5 flex-col border-t border-t-transparent",$$props.class));component(node2,()=>Scroll_area_scrollbar$1,($$anchor2,ScrollAreaPrimitive_Scrollbar)=>{ScrollAreaPrimitive_Scrollbar($$anchor2,spread_props({"data-slot":"scroll-area-scrollbar",get orientation(){return orientation()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$X(),node_1=first_child(fragment_1);snippet(node_1, +()=>$$props.children??noop$3);var node_2=sibling(node_1,2);component(node_2,()=>Scroll_area_thumb,($$anchor4,ScrollAreaPrimitive_Thumb)=>{ScrollAreaPrimitive_Thumb($$anchor4,{"data-slot":"scroll-area-thumb",class:"relative flex-1 rounded-full bg-border"})}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_1$W=from_html(" ",1);function Scroll_area($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),orientation=prop( +$$props,"orientation",3,"vertical"),scrollbarXClasses=prop($$props,"scrollbarXClasses",3,""),scrollbarYClasses=prop($$props,"scrollbarYClasses",3,""),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","orientation","scrollbarXClasses","scrollbarYClasses","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("relative",$$props.class));component(node2,()=>Scroll_area$1,($$anchor2,ScrollAreaPrimitive_Root)=>{ScrollAreaPrimitive_Root( +$$anchor2,spread_props({"data-slot":"scroll-area",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$W(),node_1=first_child(fragment_1);component(node_1,()=>Scroll_area_viewport,($$anchor4,ScrollAreaPrimitive_Viewport)=>{ScrollAreaPrimitive_Viewport($$anchor4,{"data-slot":"scroll-area-viewport",class:"size-full rounded-[inherit] ring-ring/10 outline-ring/50 transition-[color,box-shadow] f\ +ocus-visible:ring-4 focus-visible:outline-1 dark:ring-ring/20 dark:outline-ring/40",children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.children??noop$3),append($$anchor5,fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent=$$anchor4=>{Scroll_area_scrollbar($$anchor4,{orientation:"vertical",get class(){return scrollbarYClasses()}})};if_block(node_3,$$render=>{(orientation()==="vertical"||orientation()=== +"both")&&$$render(consequent)})}var node_4=sibling(node_3,2);{var consequent_1=$$anchor4=>{Scroll_area_scrollbar($$anchor4,{orientation:"horizontal",get class(){return scrollbarXClasses()}})};if_block(node_4,$$render=>{(orientation()==="horizontal"||orientation()==="both")&&$$render(consequent_1)})}var node_5=sibling(node_4,2);component(node_5,()=>Scroll_area_corner,($$anchor4,ScrollAreaPrimitive_Corner)=>{ScrollAreaPrimitive_Corner($$anchor4,{})}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})} +append($$anchor,fragment),pop()}var root_3$X=from_html(''),root_7$s=from_html('
        '),root_2$16=from_html('\ +
        Conversation NameMessages
        '),root$1E=from_html('
        ');function ConversationSelection($$anchor,$$props){ +push$1($$props,!0);let messageCountMap=prop($$props,"messageCountMap",19,()=>new Map),searchQuery=state$1(""),selectedIds=state$1(getInitialSelectedIds()),lastClickedId=state$1(null);function getInitialSelectedIds(){return new SvelteSet($$props.conversations.map(c2=>c2.id))}let filteredConversations=user_derived(()=>$$props.conversations.filter(conv=>(conv.name||"Untitled conversation").toLowerCase().includes(get$3(searchQuery).toLowerCase()))),allSelected=user_derived(()=>get$3(filteredConversations). +length>0&&get$3(filteredConversations).every(conv=>get$3(selectedIds).has(conv.id))),someSelected=user_derived(()=>get$3(filteredConversations).some(conv=>get$3(selectedIds).has(conv.id))&&!get$3(allSelected));function toggleConversation(id2,shiftKey=!1){const newSet=new SvelteSet(get$3(selectedIds));if(shiftKey&&get$3(lastClickedId)!==null){const lastIndex=get$3(filteredConversations).findIndex(c2=>c2.id===get$3(lastClickedId)),currentIndex=get$3(filteredConversations).findIndex(c2=>c2.id===id2); +if(lastIndex!==-1&¤tIndex!==-1){const start2=Math.min(lastIndex,currentIndex),end=Math.max(lastIndex,currentIndex),shouldSelect=!newSet.has(id2);for(let i=start2;i<=end;i++)shouldSelect?newSet.add(get$3(filteredConversations)[i].id):newSet.delete(get$3(filteredConversations)[i].id);set$1(selectedIds,newSet);return}}newSet.has(id2)?newSet.delete(id2):newSet.add(id2),set$1(selectedIds,newSet),set$1(lastClickedId,id2,!0)}function toggleAll(){if(get$3(allSelected)){const newSet=new SvelteSet(get$3( +selectedIds));get$3(filteredConversations).forEach(conv=>newSet.delete(conv.id)),set$1(selectedIds,newSet)}else{const newSet=new SvelteSet(get$3(selectedIds));get$3(filteredConversations).forEach(conv=>newSet.add(conv.id)),set$1(selectedIds,newSet)}}function handleConfirm(){const selected=$$props.conversations.filter(conv=>get$3(selectedIds).has(conv.id));$$props.onConfirm(selected)}function handleCancel(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null), +$$props.onCancel()}function reset$1(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null)}var $$exports={reset:reset$1},div=root$1E(),node2=child(div);SearchInput(node2,{placeholder:"Search conversations...",get value(){return get$3(searchQuery)},set value($$value){set$1(searchQuery,$$value,!0)}});var div_1=sibling(node2,2),span=child(div_1),text2=child(span),node_1=sibling(text2);{var consequent=$$anchor2=>{var text_1=text$8();template_effect(()=>set_text( +text_1,`(${get$3(filteredConversations).length??""} shown)`)),append($$anchor2,text_1)};if_block(node_1,$$render=>{get$3(searchQuery)&&$$render(consequent)})}reset(span),reset(div_1);var div_2=sibling(div_1,2),node_2=child(div_2);Scroll_area(node_2,{class:"h-[400px]",children:($$anchor2,$$slotProps)=>{var table2=root_2$16(),thead2=child(table2),tr2=child(thead2),th=child(tr2),node_3=child(th);Checkbox(node_3,{get checked(){return get$3(allSelected)},get indeterminate(){return get$3(someSelected)}, +onCheckedChange:toggleAll}),reset(th),next$1(2),reset(tr2),reset(thead2);var tbody2=sibling(thead2),node_4=child(tbody2);{var consequent_2=$$anchor3=>{var tr_1=root_3$X(),td=child(tr_1),node_5=child(td);{var consequent_1=$$anchor4=>{var text_2=text$8();template_effect(()=>set_text(text_2,`No conversations found matching "${get$3(searchQuery)??""}"`)),append($$anchor4,text_2)},alternate=$$anchor4=>{var text_3=text$8("No conversations available");append($$anchor4,text_3)};if_block(node_5,$$render=>{ +get$3(searchQuery)?$$render(consequent_1):$$render(alternate,-1)})}reset(td),reset(tr_1),append($$anchor3,tr_1)},alternate_1=$$anchor3=>{var fragment_2=comment$2(),node_6=first_child(fragment_2);each(node_6,17,()=>get$3(filteredConversations),conv=>conv.id,($$anchor4,conv)=>{var tr_2=root_7$s(),td_1=child(tr_2),node_7=child(td_1);{let $0=user_derived(()=>get$3(selectedIds).has(get$3(conv).id));Checkbox(node_7,{get checked(){return get$3($0)},onclick:event2=>{event2.preventDefault(),event2.stopPropagation(), +toggleConversation(get$3(conv).id,event2.shiftKey)}})}reset(td_1);var td_2=sibling(td_1),div_3=child(td_2),text_4=child(div_3,!0);reset(div_3),reset(td_2);var td_3=sibling(td_2),text_5=child(td_3,!0);reset(td_3),reset(tr_2),template_effect($0=>{set_attribute(div_3,"title",get$3(conv).name||"Untitled conversation"),set_text(text_4,get$3(conv).name||"Untitled conversation"),set_text(text_5,$0)},[()=>messageCountMap().get(get$3(conv).id)??0]),delegated("click",tr_2,event2=>toggleConversation(get$3( +conv).id,event2.shiftKey)),append($$anchor4,tr_2)}),append($$anchor3,fragment_2)};if_block(node_4,$$render=>{get$3(filteredConversations).length===0?$$render(consequent_2):$$render(alternate_1,-1)})}reset(tbody2),reset(table2),append($$anchor2,table2)},$$slots:{default:!0}}),reset(div_2);var div_4=sibling(div_2,2),node_8=child(div_4);Button(node_8,{variant:"outline",onclick:handleCancel,children:($$anchor2,$$slotProps)=>{next$1();var text_6=text$8("Cancel");append($$anchor2,text_6)},$$slots:{default:!0}}); +var node_9=sibling(node_8,2);{let $0=user_derived(()=>get$3(selectedIds).size===0);Button(node_9,{onclick:handleConfirm,get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_7=text$8();template_effect(()=>set_text(text_7,`${$$props.mode==="export"?"Export":"Import"} (${get$3(selectedIds).size??""})`)),append($$anchor2,text_7)},$$slots:{default:!0}})}return reset(div_4),reset(div),template_effect(()=>set_text(text2,`${get$3(selectedIds).size??""} of ${$$props.conversations. +length??""} selected `)),append($$anchor,div),pop($$exports)}delegate(["click"]);var root$1D=from_html('
        ');function HorizontalScrollCarousel($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),gapSize=prop($$props,"gapSize",3,"3"),canScrollLeft=state$1(!1),canScrollRight=state$1(!1),scrollContainer=state$1(void 0);function scrollLeft(event2){event2?.stopPropagation(), +event2?.preventDefault(),get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:get$3(scrollContainer).clientWidth*-.67,behavior:"smooth"})}function scrollRight(event2){event2?.stopPropagation(),event2?.preventDefault(),get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:get$3(scrollContainer).clientWidth*.67,behavior:"smooth"})}function updateScrollButtons(){if(!get$3(scrollContainer))return;const{scrollLeft:scrollLeft2,scrollWidth,clientWidth}=get$3(scrollContainer);set$1(canScrollLeft, +scrollLeft2>0),set$1(canScrollRight,scrollLeft2clientWidth;$$props.onScrollableChange?.(isScrollable)}function resetScroll(){get$3(scrollContainer)&&(get$3(scrollContainer).scrollLeft=0,setTimeout(()=>{updateScrollButtons()},0))}user_effect(()=>{get$3(scrollContainer)&&setTimeout(()=>{updateScrollButtons()},0)});var $$exports={resetScroll},div=root$1D(),button=child(div),node2=child(button);Chevron_left(node2,{class:"h-4 w-4"}),reset(button); +var div_1=sibling(button,2),node_1=child(div_1);snippet(node_1,()=>$$props.children??noop$3),reset(div_1),bind_this(div_1,$$value=>set$1(scrollContainer,$$value),()=>get$3(scrollContainer));var button_1=sibling(div_1,2),node_2=child(button_1);return Chevron_right(node_2,{class:"h-4 w-4"}),reset(button_1),reset(div),template_effect(()=>{set_class(div,1,`relative ${className()??""}`),set_class(button,1,`absolute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-\ +full bg-background/25 shadow-md backdrop-blur-xs transition-opacity hover:bg-background/45 ${get$3(canScrollLeft)?"opacity-100":"pointer-events-none opacity-0"}`),set_class(div_1,1,`scrollbar-hide flex items-start gap-${gapSize()??""} overflow-x-auto`),set_class(button_1,1,`absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-background/25 shadow-md backdrop-blur-xs transition-opacity hover:bg-background/45 ${get$3(canScrollRight)?"opacity-100": +"pointer-events-none opacity-0"}`)}),delegated("click",button,scrollLeft),event("scroll",div_1,updateScrollButtons),delegated("click",button_1,scrollRight),append($$anchor,div),pop($$exports)}delegate(["click"]);var root_3$W=from_html(' '),root_4$C=from_html("

        "),root_2$15=from_html(" ",1),root_5$u=from_html(" ");function TruncatedText($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showTooltip=prop($$props, +"showTooltip",3,!0),textElement=state$1(void 0),isTruncated=state$1(!1);function checkTruncation(){get$3(textElement)&&set$1(isTruncated,get$3(textElement).scrollWidth>get$3(textElement).clientWidth)}user_effect(()=>{if(get$3(textElement)){checkTruncation();const observer=new ResizeObserver(checkTruncation);return observer.observe(get$3(textElement)),()=>observer.disconnect()}});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child( +fragment_1);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$15(),node_2=first_child(fragment_2);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{get class(){return`${className()??""} min-w-0`},children:($$anchor6,$$slotProps2)=>{var span=root_3$W(),text_1=child(span,!0);reset(span),bind_this(span,$$value=>set$1(textElement,$$value),()=>get$3(textElement)),template_effect( +()=>set_text(text_1,$$props.text)),append($$anchor6,span)},$$slots:{default:!0}})});var node_3=sibling(node_2,2);component(node_3,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{class:"z-[9999]",children:($$anchor6,$$slotProps2)=>{var p2=root_4$C(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,$$props.text)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},alternate=$$anchor2=>{ +var span_1=root_5$u(),text_3=child(span_1,!0);reset(span_1),bind_this(span_1,$$value=>set$1(textElement,$$value),()=>get$3(textElement)),template_effect(()=>{set_class(span_1,1,`${className()??""} block min-w-0 truncate`),set_text(text_3,$$props.text)}),append($$anchor2,span_1)};if_block(node2,$$render=>{get$3(isTruncated)&&showTooltip()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$V=from_html("⌘"),root_5$t=from_html(""),root_1$V=from_html( +" ",1),root$1C=from_html("");function KeyboardShortcutInfo($$anchor,$$props){push$1($$props,!0);let variant=prop($$props,"variant",3,"default"),className=prop($$props,"class",3,""),variantClasses=user_derived(()=>variant()==="destructive"?"text-destructive":"text-muted-foreground");var kbd=root$1C();each(kbd,21,()=>$$props.keys,index$2,($$anchor2,key2,index2)=>{var fragment=root_1$V(),node2=first_child(fragment);{var consequent=$$anchor3=>{{let $0=user_derived(()=>variant()==="d\ +estructive"?"text-destructive":"");Arrow_big_up($$anchor3,{get class(){return`h-1 w-1 ${get$3($0)??""} -mr-1`}})}},consequent_1=$$anchor3=>{var span=root_3$V();template_effect(()=>set_class(span,1,clsx(variant()==="destructive"?"text-destructive":""))),append($$anchor3,span)},alternate=$$anchor3=>{var text2=text$8();template_effect($0=>set_text(text2,$0),[()=>get$3(key2).toUpperCase()]),append($$anchor3,text2)};if_block(node2,$$render=>{get$3(key2)==="shift"?$$render(consequent):get$3(key2)==="c\ +md"?$$render(consequent_1,1):$$render(alternate,-1)})}var node_1=sibling(node2,2);{var consequent_2=$$anchor3=>{var span_1=root_5$t();append($$anchor3,span_1)};if_block(node_1,$$render=>{index2<$$props.keys.length-1&&$$render(consequent_2)})}append($$anchor2,fragment)}),reset(kbd),template_effect(()=>set_class(kbd,1,`px-1 pointer-events-none inline-flex select-none items-center gap-0.5 font-sans text-md font-medium opacity-0 transition-opacity -my-1 ${get$3(variantClasses)??""} ${className()??""}`)), +append($$anchor,kbd),pop()}var root$1B=from_html('
        ');function CodeBlockActions($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1);const showPreview=user_derived(()=>$$props.language?.toLowerCase()===FileTypeText.HTML);var div=root$1B(),node2=child(div);{let $0=user_derived(()=>!disabled()),$1=user_derived(()=>disabled()?"Code incomplete":"Copy code");ActionIconCopyToClipboard(node2,{get text(){return $$props.code},get canCopy(){ +return get$3($0)},get ariaLabel(){return get$3($1)}})}var node_1=sibling(node2,2);{var consequent=$$anchor2=>{{let $0=user_derived(()=>disabled()?"Code incomplete":"Preview code");ActionIcon($$anchor2,{get icon(){return Eye},get tooltip(){return get$3($0)},get disabled(){return disabled()},onclick:()=>$$props.onPreview($$props.code,$$props.language)})}};if_block(node_1,$$render=>{get$3(showPreview)&&$$render(consequent)})}reset(div),append($$anchor,div),pop()}var root_4$B=from_html(''),root_5$s=from_html('
        '),root_3$U=from_html(""),root_1$U=from_html('
        ');function ChatAttachmentsPreviewThumbnailStrip($$anchor,$$props){push$1($$props,!0);function getFileExtension(name){const parts=name.split(".");return parts. +length>1?parts.pop()?.toUpperCase()??"":""}var fragment=comment$2(),node2=first_child(fragment);{var consequent_2=$$anchor2=>{var div=root_1$U(),node_1=child(div);HorizontalScrollCarousel(node_1,{class:"max-w-full",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,19,()=>$$props.items,item=>item.id,($$anchor4,item,index2)=>{var button=root_3$U(),node_3=child(button);{var consequent=$$anchor5=>{var img=root_4$B();template_effect(()=>{set_attribute( +img,"src",get$3(item).preview),set_attribute(img,"alt",get$3(item).name)}),append($$anchor5,img)},alternate_1=$$anchor5=>{var div_1=root_5$s(),node_4=child(div_1);{var consequent_1=$$anchor6=>{Music($$anchor6,{class:"h-4 w-4 text-white/70"})},alternate=$$anchor6=>{File_text($$anchor6,{class:"h-4 w-4 text-white/70"})};if_block(node_4,$$render=>{get$3(item).isAudio?$$render(consequent_1):$$render(alternate,-1)})}var span=sibling(node_4,2),text2=child(span,!0);reset(span),reset(div_1),template_effect( +$0=>set_text(text2,$0),[()=>getFileExtension(get$3(item).name)]),append($$anchor5,div_1)};if_block(node_3,$$render=>{get$3(item).isImage&&get$3(item).preview?$$render(consequent):$$render(alternate_1,-1)})}reset(button),template_effect(()=>{set_attribute(button,"data-thumbnail-index",get$3(index2)),set_class(button,1,clsx(["relative flex-shrink-0 cursor-pointer overflow-hidden rounded border-2 bg-black/80 backdrop-blur-sm transition-all hover:opacity-90",get$3(index2)===$$props.currentIndex?"bor\ +der-white":"border-transparent opacity-60","[&:not(:first-child)]:last:mr-4 [&:not(:last-child)]:first:ml-4"])),set_attribute(button,"aria-label",`Go to ${get$3(item).name}`)}),delegated("click",button,()=>$$props.onNavigate(get$3(index2))),append($$anchor4,button)}),append($$anchor3,fragment_1)},$$slots:{default:!0}}),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.items.length>1&&$$render(consequent_2)})}append($$anchor,fragment),pop()}delegate(["click"]);const alertVariants=tv( +{base:"relative grid w-full grid-cols-[0_1fr] items-start gap-y-0.5 rounded-lg border px-4 py-3 text-sm has-[>svg]:grid-cols-[calc(var(--spacing)*4)_1fr] has-[>svg]:gap-x-3 [&>svg]:size-4 [&>svg]:translate-y-0.5 [&>svg]:text-current",variants:{variant:{default:"bg-card text-card-foreground",destructive:"text-destructive bg-card *:data-[slot=alert-description]:text-destructive/90 [&>svg]:text-current"}},defaultVariants:{variant:"default"}});var root$1A=from_html("
        ");function Alert($$anchor,$$props){ +push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","variant","children"]);var div=root$1A();attribute_effect(div,$0=>({"data-slot":"alert",class:$0,...restProps,role:"alert"}),[()=>cn$1(alertVariants({variant:variant()}),$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor, +div),pop()}var root$1z=from_html("
        ");function Alert_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1z();attribute_effect(div,$0=>({"data-slot":"alert-description",class:$0,...restProps}),[()=>cn$1("col-start-2 grid justify-items-start gap-1 text-sm text-muted-foreground [&_p]:leading-relaxed",$$props.class)]);var node2=child(div);snippet(node2, +()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1y=from_html("
        ");function Alert_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1y();attribute_effect(div,$0=>({"data-slot":"alert-title",class:$0,...restProps}),[()=>cn$1("col-start-2 line-clamp-1 min-h-4 font-medium tracking\ +-tight",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}class AudioRecorder{mediaRecorder=null;audioChunks=[];stream=null;recordingState=!1;async startRecording(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:{echoCancellation:!0,noiseSuppression:!0,autoGainControl:!0}}),this.initializeRecorder(this.stream),this.audioChunks=[],this.mediaRecorder.start(100),this. +recordingState=!0}catch(error2){throw console.error("Failed to start recording:",error2),new Error("Failed to access microphone. Please check permissions.")}}async stopRecording(){return new Promise((resolve2,reject)=>{const recorder=this.mediaRecorder,chunks=this.audioChunks,stream=this.stream;if(!recorder||recorder.state==="inactive"){reject(new Error("No active recording to stop"));return}this.mediaRecorder=null,this.audioChunks=[],this.stream=null,this.recordingState=!1,recorder.onstop=()=>{ +const audioBlob=new Blob(chunks,{type:recorder.mimeType||MimeTypeAudio.WAV});if(stream)for(const track2 of stream.getTracks())track2.stop();resolve2(audioBlob)},recorder.onerror=event2=>{if(console.error("Recording error:",event2),stream)for(const track2 of stream.getTracks())track2.stop();reject(new Error("Recording failed"))},recorder.stop()})}isRecording(){return this.recordingState}cancelRecording(){const recorder=this.mediaRecorder,stream=this.stream;if(this.mediaRecorder=null,this.audioChunks= +[],this.stream=null,this.recordingState=!1,recorder&&recorder.state!=="inactive"&&(recorder.onstop=null,recorder.onerror=null,recorder.stop()),stream)for(const track2 of stream.getTracks())track2.stop()}initializeRecorder(stream){const options={};MediaRecorder.isTypeSupported(MimeTypeAudio.WAV)?options.mimeType=MimeTypeAudio.WAV:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM_OPUS)?options.mimeType=MimeTypeAudio.WEBM_OPUS:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM)?options.mimeType=MimeTypeAudio. +WEBM:MediaRecorder.isTypeSupported(MimeTypeAudio.MP4)?options.mimeType=MimeTypeAudio.MP4:console.warn("No preferred audio format supported, using default"),this.mediaRecorder=new MediaRecorder(stream,options),this.mediaRecorder.ondataavailable=event2=>{event2.data.size>0&&this.audioChunks.push(event2.data)},this.mediaRecorder.onstop=()=>{this.recordingState=!1},this.mediaRecorder.onerror=event2=>{console.error("MediaRecorder error:",event2),this.recordingState=!1}}}async function convertToWav(audioBlob){ +try{if(audioBlob.type.includes("wav"))return audioBlob;const arrayBuffer=await audioBlob.arrayBuffer(),audioContext=new(window.AudioContext||window.webkitAudioContext);try{const audioBuffer=await audioContext.decodeAudioData(arrayBuffer);return audioBufferToWav(audioBuffer)}finally{audioContext.close()}}catch(error2){return console.error("Failed to convert audio to WAV:",error2),audioBlob}}function audioBufferToWav(buffer){const length=buffer.length,numberOfChannels=buffer.numberOfChannels,sampleRate=buffer. +sampleRate,blockAlign=numberOfChannels*2,byteRate=sampleRate*blockAlign,dataSize=length*blockAlign,bufferSize=44+dataSize,arrayBuffer=new ArrayBuffer(bufferSize),view=new DataView(arrayBuffer),writeString=(offset2,string2)=>{for(let i=0;i1?s2=1:s2<-1&&(s2=-1),pcm[p2++]=s2*32767}return new Blob( +[arrayBuffer],{type:MimeTypeAudio.WAV})}function createAudioFile(audioBlob,filename){const timestamp=new Date().toISOString().replace(/[:.]/g,"-"),extension2=audioBlob.type.includes("wav")?"wav":"mp3",defaultFilename=`recording-${timestamp}.${extension2}`;return new File([audioBlob],defaultFilename,{type:audioBlob.type,lastModified:Date.now()})}function isAudioRecordingSupported(){return!!(typeof navigator<"u"&&navigator.mediaDevices&&typeof navigator.mediaDevices.getUserMedia=="function"&&typeof window< +"u"&&window.MediaRecorder)}const isNodeJS=typeof process=="object"&&process+""=="[object process]"&&!process.versions.nw&&!(process.versions.electron&&process.type&&process.type!=="browser"),FONT_IDENTITY_MATRIX=[.001,0,0,.001,0,0],LINE_FACTOR=1.35,RenderingIntentFlag={ANY:1,DISPLAY:2,PRINT:4,ANNOTATIONS_FORMS:16,ANNOTATIONS_STORAGE:32,ANNOTATIONS_DISABLE:64,IS_EDITING:128,OPLIST:256},AnnotationMode={DISABLE:0,ENABLE:1,ENABLE_FORMS:2,ENABLE_STORAGE:3},AnnotationEditorPrefix="pdfjs_internal_edito\ +r_",AnnotationEditorType={DISABLE:-1,NONE:0,FREETEXT:3,HIGHLIGHT:9,STAMP:13,INK:15,SIGNATURE:101,COMMENT:102},AnnotationEditorParamsType={RESIZE:1,CREATE:2,FREETEXT_SIZE:11,FREETEXT_COLOR:12,FREETEXT_OPACITY:13,INK_COLOR:21,INK_THICKNESS:22,INK_OPACITY:23,HIGHLIGHT_COLOR:31,HIGHLIGHT_THICKNESS:32,HIGHLIGHT_FREE:33,HIGHLIGHT_SHOW_ALL:34,DRAW_STEP:41},PermissionFlag={PRINT:4,MODIFY_CONTENTS:8,COPY:16,MODIFY_ANNOTATIONS:32,FILL_INTERACTIVE_FORMS:256,COPY_FOR_ACCESSIBILITY:512,ASSEMBLE:1024,PRINT_HIGH_QUALITY:2048}, +TextRenderingMode={FILL:0,STROKE:1,FILL_STROKE:2,INVISIBLE:3,FILL_STROKE_MASK:3,ADD_TO_PATH_FLAG:4},util_ImageKind={GRAYSCALE_1BPP:1,RGB_24BPP:2,RGBA_32BPP:3},AnnotationType={TEXT:1,LINK:2,FREETEXT:3,LINE:4,SQUARE:5,CIRCLE:6,POLYGON:7,POLYLINE:8,HIGHLIGHT:9,UNDERLINE:10,SQUIGGLY:11,STRIKEOUT:12,STAMP:13,CARET:14,INK:15,POPUP:16,FILEATTACHMENT:17,SOUND:18,MOVIE:19,WIDGET:20,SCREEN:21,PRINTERMARK:22,TRAPNET:23,WATERMARK:24,THREED:25,REDACT:26},AnnotationBorderStyleType={SOLID:1,DASHED:2,BEVELED:3, +INSET:4,UNDERLINE:5},VerbosityLevel={ERRORS:0,WARNINGS:1,INFOS:5},OPS={dependency:1,setLineWidth:2,setLineCap:3,setLineJoin:4,setMiterLimit:5,setDash:6,setRenderingIntent:7,setFlatness:8,setGState:9,save:10,restore:11,transform:12,moveTo:13,lineTo:14,curveTo:15,curveTo2:16,curveTo3:17,closePath:18,rectangle:19,stroke:20,closeStroke:21,fill:22,eoFill:23,fillStroke:24,eoFillStroke:25,closeFillStroke:26,closeEOFillStroke:27,endPath:28,clip:29,eoClip:30,beginText:31,endText:32,setCharSpacing:33,setWordSpacing:34, +setHScale:35,setLeading:36,setFont:37,setTextRenderingMode:38,setTextRise:39,moveText:40,setLeadingMoveText:41,setTextMatrix:42,nextLine:43,showText:44,showSpacedText:45,nextLineShowText:46,nextLineSetSpacingShowText:47,setCharWidth:48,setCharWidthAndBounds:49,setStrokeColorSpace:50,setFillColorSpace:51,setStrokeColor:52,setStrokeColorN:53,setFillColor:54,setFillColorN:55,setStrokeGray:56,setFillGray:57,setStrokeRGBColor:58,setFillRGBColor:59,setStrokeCMYKColor:60,setFillCMYKColor:61,shadingFill:62, +beginInlineImage:63,beginImageData:64,endInlineImage:65,paintXObject:66,markPoint:67,markPointProps:68,beginMarkedContent:69,beginMarkedContentProps:70,endMarkedContent:71,beginCompat:72,endCompat:73,paintFormXObjectBegin:74,paintFormXObjectEnd:75,beginGroup:76,endGroup:77,beginAnnotation:80,endAnnotation:81,paintImageMaskXObject:83,paintImageMaskXObjectGroup:84,paintImageXObject:85,paintInlineImageXObject:86,paintInlineImageXObjectGroup:87,paintImageXObjectRepeat:88,paintImageMaskXObjectRepeat:89, +paintSolidColorImageMask:90,constructPath:91,setStrokeTransparent:92,setFillTransparent:93,rawFillPath:94},DrawOPS={moveTo:0,lineTo:1,curveTo:2,closePath:3},PasswordResponses={NEED_PASSWORD:1,INCORRECT_PASSWORD:2};let verbosity=VerbosityLevel.WARNINGS;function setVerbosityLevel(level){Number.isInteger(level)&&(verbosity=level)}function getVerbosityLevel(){return verbosity}function info(msg){verbosity>=VerbosityLevel.INFOS&&console.log(`Info: ${msg}`)}function warn(msg){verbosity>=VerbosityLevel. +WARNINGS&&console.log(`Warning: ${msg}`)}function unreachable(msg){throw new Error(msg)}function assert$1(cond,msg){cond||unreachable(msg)}function _isValidProtocol(url2){switch(url2?.protocol){case"http:":case"https:":case"ftp:":case"mailto:":case"tel:":return!0;default:return!1}}function createValidAbsoluteUrl(url2,baseUrl=null,options=null){if(!url2)return null;if(options&&typeof url2=="string"&&(options.addDefaultProtocol&&url2.startsWith("www.")&&url2.match(/\./g)?.length>=2&&(url2=`http://${url2}`), +options.tryConvertEncoding))try{url2=stringToUTF8String(url2)}catch{}const absoluteUrl=baseUrl?URL.parse(url2,baseUrl):URL.parse(url2);return _isValidProtocol(absoluteUrl)?absoluteUrl:null}function updateUrlHash(url2,hash2,allowRel=!1){const res=URL.parse(url2);return res?(res.hash=hash2,res.href):allowRel&&createValidAbsoluteUrl(url2,"http://example.com")?url2.split("#",1)[0]+`${hash2?`#${hash2}`:""}`:""}function shadow(obj,prop2,value,nonSerializable=!1){return Object.defineProperty(obj,prop2, +{value,enumerable:!nonSerializable,configurable:!0,writable:!1}),value}const BaseException=(function(){function BaseException2(message,name){this.message=message,this.name=name}return BaseException2.prototype=new Error,BaseException2.constructor=BaseException2,BaseException2})();class PasswordException extends BaseException{constructor(msg,code2){super(msg,"PasswordException"),this.code=code2}}class UnknownErrorException extends BaseException{constructor(msg,details){super(msg,"UnknownErrorExcep\ +tion"),this.details=details}}class InvalidPDFException extends BaseException{constructor(msg){super(msg,"InvalidPDFException")}}class ResponseException extends BaseException{constructor(msg,status,missing){super(msg,"ResponseException"),this.status=status,this.missing=missing}}class FormatError extends BaseException{constructor(msg){super(msg,"FormatError")}}class AbortException extends BaseException{constructor(msg){super(msg,"AbortException")}}function bytesToString(bytes){(typeof bytes!="obje\ +ct"||bytes?.length===void 0)&&unreachable("Invalid argument for bytesToString");const length=bytes.length,MAX_ARGUMENT_COUNT=8192;if(length>24&255,value>>16&255,value>>8&255,value&255)}function isLittleEndian(){const buffer8=new Uint8Array(4);return buffer8[0]=1,new Uint32Array(buffer8.buffer,0,1)[0]===1}function isEvalSupported(){try{return new Function(""),!0}catch{return!1}}class util_FeatureTest{static get isLittleEndian(){return shadow( +this,"isLittleEndian",isLittleEndian())}static get isEvalSupported(){return shadow(this,"isEvalSupported",isEvalSupported())}static get isOffscreenCanvasSupported(){return shadow(this,"isOffscreenCanvasSupported",typeof OffscreenCanvas<"u")}static get isImageDecoderSupported(){return shadow(this,"isImageDecoderSupported",typeof ImageDecoder<"u")}static get platform(){const{platform:platform2,userAgent}=navigator;return shadow(this,"platform",{isAndroid:userAgent.includes("Android"),isLinux:platform2. +includes("Linux"),isMac:platform2.includes("Mac"),isWindows:platform2.includes("Win"),isFirefox:userAgent.includes("Firefox")})}static get isCSSRoundSupported(){return shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const hexNumbers=Array.from(Array(256).keys(),n=>n.toString(16).padStart(2,"0"));class Util{static makeHexColor(r2,g,b){return`#${hexNumbers[r2]}${hexNumbers[g]}${hexNumbers[b]}`}static scaleMinMax(transform2,minMax){let temp;transform2[0]?(transform2[0]< +0&&(temp=minMax[0],minMax[0]=minMax[2],minMax[2]=temp),minMax[0]*=transform2[0],minMax[2]*=transform2[0],transform2[3]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[3],minMax[3]*=transform2[3]):(temp=minMax[0],minMax[0]=minMax[1],minMax[1]=temp,temp=minMax[2],minMax[2]=minMax[3],minMax[3]=temp,transform2[1]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[1],minMax[3]*=transform2[1],transform2[2]<0&&(temp=minMax[0],minMax[0]=minMax[2],minMax[2]= +temp),minMax[0]*=transform2[2],minMax[2]*=transform2[2]),minMax[0]+=transform2[4],minMax[1]+=transform2[5],minMax[2]+=transform2[4],minMax[3]+=transform2[5]}static transform(m1,m2){return[m1[0]*m2[0]+m1[2]*m2[1],m1[1]*m2[0]+m1[3]*m2[1],m1[0]*m2[2]+m1[2]*m2[3],m1[1]*m2[2]+m1[3]*m2[3],m1[0]*m2[4]+m1[2]*m2[5]+m1[4],m1[1]*m2[4]+m1[3]*m2[5]+m1[5]]}static applyTransform(p2,m,pos=0){const p0=p2[pos],p1=p2[pos+1];p2[pos]=p0*m[0]+p1*m[2]+m[4],p2[pos+1]=p0*m[1]+p1*m[3]+m[5]}static applyTransformToBezier(p2,transform2,pos=0){ +const m0=transform2[0],m1=transform2[1],m2=transform2[2],m3=transform2[3],m4=transform2[4],m5=transform2[5];for(let i=0;i<6;i+=2){const pI=p2[pos+i],pI1=p2[pos+i+1];p2[pos+i]=pI*m0+pI1*m2+m4,p2[pos+i+1]=pI*m1+pI1*m3+m5}}static applyInverseTransform(p2,m){const p0=p2[0],p1=p2[1],d2=m[0]*m[3]-m[1]*m[2];p2[0]=(p0*m[3]-p1*m[2]+m[2]*m[5]-m[4]*m[3])/d2,p2[1]=(-p0*m[1]+p1*m[0]+m[4]*m[1]-m[5]*m[0])/d2}static axialAlignedBoundingBox(rect,transform2,output){const m0=transform2[0],m1=transform2[1],m2=transform2[2], +m3=transform2[3],m4=transform2[4],m5=transform2[5],r0=rect[0],r1=rect[1],r2=rect[2],r3=rect[3];let a0=m0*r0+m4,a2=a0,a1=m0*r2+m4,a3=a1,b0=m3*r1+m5,b2=b0,b1=m3*r3+m5,b3=b1;if(m1!==0||m2!==0){const m1r0=m1*r0,m1r2=m1*r2,m2r1=m2*r1,m2r3=m2*r3;a0+=m2r1,a3+=m2r1,a1+=m2r3,a2+=m2r3,b0+=m1r0,b3+=m1r0,b1+=m1r2,b2+=m1r2}output[0]=Math.min(output[0],a0,a1,a2,a3),output[1]=Math.min(output[1],b0,b1,b2,b3),output[2]=Math.max(output[2],a0,a1,a2,a3),output[3]=Math.max(output[3],b0,b1,b2,b3)}static inverseTransform(m){ +const d2=m[0]*m[3]-m[1]*m[2];return[m[3]/d2,-m[1]/d2,-m[2]/d2,m[0]/d2,(m[2]*m[5]-m[4]*m[3])/d2,(m[4]*m[1]-m[5]*m[0])/d2]}static singularValueDecompose2dScale(matrix,output){const m0=matrix[0],m1=matrix[1],m2=matrix[2],m3=matrix[3],a=m0**2+m1**2,b=m0*m2+m1*m3,c2=m2**2+m3**2,first=(a+c2)/2,second=Math.sqrt(first**2-(a*c2-b**2));output[0]=Math.sqrt(first+second||1),output[1]=Math.sqrt(first-second||1)}static normalizeRect(rect){const r2=rect.slice(0);return rect[0]>rect[2]&&(r2[0]=rect[2],r2[2]=rect[0]), +rect[1]>rect[3]&&(r2[1]=rect[3],r2[3]=rect[1]),r2}static intersect(rect1,rect2){const xLow=Math.max(Math.min(rect1[0],rect1[2]),Math.min(rect2[0],rect2[2])),xHigh=Math.min(Math.max(rect1[0],rect1[2]),Math.max(rect2[0],rect2[2]));if(xLow>xHigh)return null;const yLow=Math.max(Math.min(rect1[1],rect1[3]),Math.min(rect2[1],rect2[3])),yHigh=Math.min(Math.max(rect1[1],rect1[3]),Math.max(rect2[1],rect2[3]));return yLow>yHigh?null:[xLow,yLow,xHigh,yHigh]}static pointBoundingBox(x,y,minMax){minMax[0]=Math. +min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static rectBoundingBox(x0,y0,x1,y1,minMax){minMax[0]=Math.min(minMax[0],x0,x1),minMax[1]=Math.min(minMax[1],y0,y1),minMax[2]=Math.max(minMax[2],x0,x1),minMax[3]=Math.max(minMax[3],y0,y1)}static#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,t,minMax){if(t<=0||t>=1)return;const mt=1-t,tt=t*t,ttt=tt*t,x=mt*(mt*(mt*x0+3*t*x1)+3*tt*x2)+ttt*x3,y=mt*(mt*(mt*y0+3*t*y1)+3*tt*y2)+ttt*y3;minMax[0]= +Math.min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,a,b,c2,minMax){if(Math.abs(a)<1e-12){Math.abs(b)>=1e-12&&this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,-c2/b,minMax);return}const delta=b**2-4*c2*a;if(delta<0)return;const sqrtDelta=Math.sqrt(delta),a2=2*a;this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b+sqrtDelta)/a2,minMax),this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b-sqrtDelta)/ +a2,minMax)}static bezierBoundingBox(x0,y0,x1,y1,x2,y2,x3,y3,minMax){minMax[0]=Math.min(minMax[0],x0,x3),minMax[1]=Math.min(minMax[1],y0,y3),minMax[2]=Math.max(minMax[2],x0,x3),minMax[3]=Math.max(minMax[3],y0,y3),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-x0+3*(x1-x2)+x3),6*(x0-2*x1+x2),3*(x1-x0),minMax),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-y0+3*(y1-y2)+y3),6*(y0-2*y1+y2),3*(y1-y0),minMax)}}function stringToUTF8String(str){return decodeURIComponent(escape(str))}let NormalizeRegex=null, +NormalizationMap=null;function normalizeUnicode(str){return NormalizeRegex||(NormalizeRegex=/([\u00a0\u00b5\u037e\u0eb3\u2000-\u200a\u202f\u2126\ufb00-\ufb04\ufb06\ufb20-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufba1\ufba4-\ufba9\ufbae-\ufbb1\ufbd3-\ufbdc\ufbde-\ufbe7\ufbea-\ufbf8\ufbfc-\ufbfd\ufc00-\ufc5d\ufc64-\ufcf1\ufcf5-\ufd3d\ufd88\ufdf4\ufdfa-\ufdfb\ufe71\ufe77\ufe79\ufe7b\ufe7d]+)|(\ufb05+)/gu,NormalizationMap=new Map([["ſt","ſt"]])),str.replaceAll(NormalizeRegex,(_,p1,p2)=>p1? +p1.normalize("NFKC"):NormalizationMap.get(p2))}function getUuid(){if(typeof crypto.randomUUID=="function")return crypto.randomUUID();const buf=new Uint8Array(32);return crypto.getRandomValues(buf),bytesToString(buf)}const AnnotationPrefix="pdfjs_internal_id_";function _isValidExplicitDest(validRef,validName,dest){if(!Array.isArray(dest)||dest.length<2)return!1;const[page2,zoom,...args]=dest;if(!validRef(page2)&&!Number.isInteger(page2)||!validName(zoom))return!1;const argsLen=args.length;let allowNull=!0; +switch(zoom.name){case"XYZ":if(argsLen<2||argsLen>3)return!1;break;case"Fit":case"FitB":return argsLen===0;case"FitH":case"FitBH":case"FitV":case"FitBV":if(argsLen>1)return!1;break;case"FitR":if(argsLen!==4)return!1;allowNull=!1;break;default:return!1}for(const arg of args)if(!(typeof arg=="number"||allowNull&&arg===null))return!1;return!0}function MathClamp(v,min2,max2){return Math.min(Math.max(v,min2),max2)}function toBase64Util(arr){return Uint8Array.prototype.toBase64?arr.toBase64():btoa(bytesToString( +arr))}function fromBase64Util(str){return Uint8Array.fromBase64?Uint8Array.fromBase64(str):stringToBytes(atob(str))}typeof Promise.try!="function"&&(Promise.try=function(fn,...args){return new Promise(resolve2=>{resolve2(fn(...args))})});typeof Math.sumPrecise!="function"&&(Math.sumPrecise=function(numbers){return numbers.reduce((a,b)=>a+b,0)});const SVG_NS="http://www.w3.org/2000/svg";class PixelsPerInch{static CSS=96;static PDF=72;static PDF_TO_CSS_UNITS=this.CSS/this.PDF}async function fetchData(url2,type2="\ +text"){if(isValidFetchUrl(url2,document.baseURI)){const response=await fetch(url2);if(!response.ok)throw new Error(response.statusText);switch(type2){case"arraybuffer":return response.arrayBuffer();case"blob":return response.blob();case"json":return response.json()}return response.text()}return new Promise((resolve2,reject)=>{const request=new XMLHttpRequest;request.open("GET",url2,!0),request.responseType=type2,request.onreadystatechange=()=>{if(request.readyState===XMLHttpRequest.DONE){if(request. +status===200||request.status===0){switch(type2){case"arraybuffer":case"blob":case"json":resolve2(request.response);return}resolve2(request.responseText);return}reject(new Error(request.statusText))}},request.send(null)})}class PageViewport{constructor({viewBox,userUnit,scale:scale2,rotation,offsetX=0,offsetY=0,dontFlip=!1}){this.viewBox=viewBox,this.userUnit=userUnit,this.scale=scale2,this.rotation=rotation,this.offsetX=offsetX,this.offsetY=offsetY,scale2*=userUnit;const centerX=(viewBox[2]+viewBox[0])/ +2,centerY=(viewBox[3]+viewBox[1])/2;let rotateA,rotateB,rotateC,rotateD;switch(rotation%=360,rotation<0&&(rotation+=360),rotation){case 180:rotateA=-1,rotateB=0,rotateC=0,rotateD=1;break;case 90:rotateA=0,rotateB=1,rotateC=1,rotateD=0;break;case 270:rotateA=0,rotateB=-1,rotateC=-1,rotateD=0;break;case 0:rotateA=1,rotateB=0,rotateC=0,rotateD=-1;break;default:throw new Error("PageViewport: Invalid rotation, must be a multiple of 90 degrees.")}dontFlip&&(rotateC=-rotateC,rotateD=-rotateD);let offsetCanvasX, +offsetCanvasY,width,height;rotateA===0?(offsetCanvasX=Math.abs(centerY-viewBox[1])*scale2+offsetX,offsetCanvasY=Math.abs(centerX-viewBox[0])*scale2+offsetY,width=(viewBox[3]-viewBox[1])*scale2,height=(viewBox[2]-viewBox[0])*scale2):(offsetCanvasX=Math.abs(centerX-viewBox[0])*scale2+offsetX,offsetCanvasY=Math.abs(centerY-viewBox[1])*scale2+offsetY,width=(viewBox[2]-viewBox[0])*scale2,height=(viewBox[3]-viewBox[1])*scale2),this.transform=[rotateA*scale2,rotateB*scale2,rotateC*scale2,rotateD*scale2, +offsetCanvasX-rotateA*scale2*centerX-rotateC*scale2*centerY,offsetCanvasY-rotateB*scale2*centerX-rotateD*scale2*centerY],this.width=width,this.height=height}get rawDims(){const dims=this.viewBox;return shadow(this,"rawDims",{pageWidth:dims[2]-dims[0],pageHeight:dims[3]-dims[1],pageX:dims[0],pageY:dims[1]})}clone({scale:scale2=this.scale,rotation=this.rotation,offsetX=this.offsetX,offsetY=this.offsetY,dontFlip=!1}={}){return new PageViewport({viewBox:this.viewBox.slice(),userUnit:this.userUnit,scale:scale2, +rotation,offsetX,offsetY,dontFlip})}convertToViewportPoint(x,y){const p2=[x,y];return Util.applyTransform(p2,this.transform),p2}convertToViewportRectangle(rect){const topLeft=[rect[0],rect[1]];Util.applyTransform(topLeft,this.transform);const bottomRight=[rect[2],rect[3]];return Util.applyTransform(bottomRight,this.transform),[topLeft[0],topLeft[1],bottomRight[0],bottomRight[1]]}convertToPdfPoint(x,y){const p2=[x,y];return Util.applyInverseTransform(p2,this.transform),p2}}class RenderingCancelledException extends BaseException{constructor(msg,extraDelay=0){ +super(msg,"RenderingCancelledException"),this.extraDelay=extraDelay}}function isDataScheme(url2){const ii=url2.length;let i=0;for(;i{try{return new URL(urlString)}catch{try{return new URL(decodeURIComponent(urlString))}catch{try{return new URL(urlString,"https://foo.bar")}catch{try{return new URL(decodeURIComponent(urlString),"https://foo.bar")}catch{return null}}}}})(url2);if(!newURL)return defaultFilename;const decode2=name=>{try{let decoded=decodeURIComponent( +name);return decoded.includes("/")?(decoded=decoded.split("/").at(-1),decoded.test(/^\.pdf$/i)?decoded:name):decoded}catch{return name}},pdfRegex=/\.pdf$/i,filename=newURL.pathname.split("/").at(-1);if(pdfRegex.test(filename))return decode2(filename);if(newURL.searchParams.size>0){const values=Array.from(newURL.searchParams.values()).reverse();for(const value of values)if(pdfRegex.test(value))return decode2(value);const keys2=Array.from(newURL.searchParams.keys()).reverse();for(const key2 of keys2) +if(pdfRegex.test(key2))return decode2(key2)}if(newURL.hash){const hashFilename=/[^/?#=]+\.pdf\b(?!.*\.pdf\b)/i.exec(newURL.hash);if(hashFilename)return decode2(hashFilename[0])}return defaultFilename}class StatTimer{started=Object.create(null);times=[];time(name){name in this.started&&warn(`Timer is already running for ${name}`),this.started[name]=Date.now()}timeEnd(name){name in this.started||warn(`Timer has not been started for ${name}`),this.times.push({name,start:this.started[name],end:Date. +now()}),delete this.started[name]}toString(){const outBuf=[];let longest=0;for(const{name}of this.times)longest=Math.max(name.length,longest);for(const{name,start:start2,end}of this.times)outBuf.push(`${name.padEnd(longest)} ${end-start2}ms `);return outBuf.join("")}}function isValidFetchUrl(url2,baseUrl){const res=baseUrl?URL.parse(url2,baseUrl):URL.parse(url2);return res?.protocol==="http:"||res?.protocol==="https:"}function noContextMenu(e){e.preventDefault()}function stopEvent(e){e.preventDefault(),e.stopPropagation()}function deprecated(details){console.log("Deprecated API usage: "+details)}class PDFDateString{static#regex;static toDateObject(input){if(input instanceof Date)return input;if(!input||typeof input!="string")return null; this.#regex||=new RegExp("^D:(\\d{4})(\\d{2})?(\\d{2})?(\\d{2})?(\\d{2})?(\\d{2})?([Z|+|-])?(\\d{2})?'?(\\d{2})?'?");const matches2=this.#regex.exec(input);if(!matches2)return null;const year=parseInt(matches2[1],10);let month=parseInt(matches2[2],10);month=month>=1&&month<=12?month-1:0;let day=parseInt(matches2[3],10);day=day>=1&&day<=31?day:1;let hour=parseInt(matches2[4],10);hour=hour>=0&&hour<=23?hour:0;let minute=parseInt(matches2[5],10);minute=minute>=0&&minute<=59?minute:0;let second=parseInt( matches2[6],10);second=second>=0&&second<=59?second:0;const universalTimeRelation=matches2[7]||"Z";let offsetHour=parseInt(matches2[8],10);offsetHour=offsetHour>=0&&offsetHour<=23?offsetHour:0;let offsetMinute=parseInt(matches2[9],10)||0;return offsetMinute=offsetMinute>=0&&offsetMinute<=59?offsetMinute:0,universalTimeRelation==="-"?(hour+=offsetHour,minute+=offsetMinute):universalTimeRelation==="+"&&(hour-=offsetHour,minute-=offsetMinute),new Date(Date.UTC(year,month,day,hour,minute,second))}}function getXfaPageViewport(xfaPage,{ @@ -6164,21 +6320,57 @@ width=viewport.width,canvas.height=viewport.height,!ctx)throw new Error("Failed white"){return new Promise((resolve2,reject)=>{try{const img=new Image;img.onload=()=>{const canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(!ctx){reject(new Error("Failed to get 2D canvas context."));return}const targetWidth=img.naturalWidth||300,targetHeight=img.naturalHeight||300;canvas.width=targetWidth,canvas.height=targetHeight,backgroundColor&&(ctx.fillStyle=backgroundColor,ctx.fillRect(0,0,canvas.width,canvas.height)),ctx.drawImage(img,0,0,targetWidth,targetHeight), resolve2(canvas.toDataURL(MimeTypeImage.PNG))},img.onerror=()=>{reject(new Error("Failed to load SVG image. Ensure the SVG data is valid."))},img.src=base64UrlSvg}catch(error2){const errorMessage=`Error converting SVG to PNG: ${error2 instanceof Error?error2.message:String(error2)}`;console.error(errorMessage,error2),reject(new Error(errorMessage))}})}function isSvgMimeType(mimeType){return mimeType===MimeTypeImage.SVG}function webpBase64UrlToPngDataURL(base64UrlWebp,backgroundColor="white"){return new Promise( (resolve2,reject)=>{try{const img=new Image;img.onload=()=>{const canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(!ctx){reject(new Error("Failed to get 2D canvas context."));return}const targetWidth=img.naturalWidth||300,targetHeight=img.naturalHeight||300;canvas.width=targetWidth,canvas.height=targetHeight,backgroundColor&&(ctx.fillStyle=backgroundColor,ctx.fillRect(0,0,canvas.width,canvas.height)),ctx.drawImage(img,0,0,targetWidth,targetHeight),resolve2(canvas.toDataURL( -MimeTypeImage.PNG))},img.onerror=()=>{reject(new Error("Failed to load WebP image. Ensure the WebP data is valid."))},img.src=base64UrlWebp}catch(error2){const errorMessage=`Error converting WebP to PNG: ${error2 instanceof Error?error2.message:String(error2)}`;console.error(errorMessage,error2),reject(new Error(errorMessage))}})}function isWebpMimeType(mimeType){return mimeType===MimeTypeImage.WEBP}class ChatService{static async sendMessage(messages,options={},conversationId,signal){const{stream, -onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,tools,temperature,max_tokens,dynatemp_range,dynatemp_exponent,top_k,top_p,min_p,xtc_probability,xtc_threshold,typ_p,repeat_last_n,repeat_penalty,presence_penalty,frequency_penalty,dry_multiplier,dry_base,dry_allowed_length,dry_penalty_last_n,samplers,backend_sampling,custom:custom2,timings_per_token,disableReasoningParsing,excludeReasoningFromContext}=options,normalizedMessages=messages.map(msg=>{if("id"in msg&&"convId"in -msg&&"timestamp"in msg){const dbMsg=msg;return ChatService.convertDbMessageToApiChatMessageData(dbMsg)}else return msg}).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);options.model&&!modelsStore.modelSupportsVision(options.model)&&normalizedMessages.forEach(msg=>{Array.isArray(msg.content)&&(msg.content=msg.content.filter(part=>part.type===ContentPartType.IMAGE_URL?(console.info(`[ChatService] Skipping image attachment in message hist\ -ory (model "${options.model}" does not support vision)`),!1):!0),msg.content.length===1&&msg.content[0].type===ContentPartType.TEXT&&(msg.content=msg.content[0].text))});const requestBody={messages:normalizedMessages.map(msg=>{const mapped={role:msg.role,content:msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoningFromContext&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream,return_progress:stream?!0:void 0,tools:tools&& -tools.length>0?tools:void 0};if(options.model&&(requestBody.model=options.model),requestBody.reasoning_format=disableReasoningParsing?ReasoningFormat.NONE:ReasoningFormat.AUTO,temperature!==void 0&&(requestBody.temperature=temperature),max_tokens!==void 0&&(requestBody.max_tokens=max_tokens!==null&&max_tokens!==0?max_tokens:-1),dynatemp_range!==void 0&&(requestBody.dynatemp_range=dynatemp_range),dynatemp_exponent!==void 0&&(requestBody.dynatemp_exponent=dynatemp_exponent),top_k!==void 0&&(requestBody. -top_k=top_k),top_p!==void 0&&(requestBody.top_p=top_p),min_p!==void 0&&(requestBody.min_p=min_p),xtc_probability!==void 0&&(requestBody.xtc_probability=xtc_probability),xtc_threshold!==void 0&&(requestBody.xtc_threshold=xtc_threshold),typ_p!==void 0&&(requestBody.typ_p=typ_p),repeat_last_n!==void 0&&(requestBody.repeat_last_n=repeat_last_n),repeat_penalty!==void 0&&(requestBody.repeat_penalty=repeat_penalty),presence_penalty!==void 0&&(requestBody.presence_penalty=presence_penalty),frequency_penalty!== -void 0&&(requestBody.frequency_penalty=frequency_penalty),dry_multiplier!==void 0&&(requestBody.dry_multiplier=dry_multiplier),dry_base!==void 0&&(requestBody.dry_base=dry_base),dry_allowed_length!==void 0&&(requestBody.dry_allowed_length=dry_allowed_length),dry_penalty_last_n!==void 0&&(requestBody.dry_penalty_last_n=dry_penalty_last_n),samplers!==void 0&&(requestBody.samplers=typeof samplers=="string"?samplers.split(";").filter(s2=>s2.trim()):samplers),backend_sampling!==void 0&&(requestBody.backend_sampling= -backend_sampling),timings_per_token!==void 0&&(requestBody.timings_per_token=timings_per_token),custom2)try{const customParams=typeof custom2=="string"?JSON.parse(custom2):custom2;Object.assign(requestBody,customParams)}catch(error2){console.warn("Failed to parse custom parameters:",error2)}try{const response=await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal});if(!response.ok){const error2=await ChatService.parseErrorResponse(response); -throw onError&&onError(error2),error2}if(stream){await ChatService.handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,signal);return}else return ChatService.handleNonStreamResponse(response,onComplete,onError,onToolCallChunk,onModel)}catch(error2){if(isAbortError(error2)){console.log("Chat completion request was aborted");return}let userFriendlyError;throw error2 instanceof Error?error2.name==="TypeError"&&error2.message.includes( -"fetch")?(userFriendlyError=new Error("Unable to connect to server - please check if the server is running"),userFriendlyError.name="NetworkError"):error2.message.includes("ECONNREFUSED")?(userFriendlyError=new Error("Connection refused - server may be offline"),userFriendlyError.name="NetworkError"):error2.message.includes("ETIMEDOUT")?(userFriendlyError=new Error("Request timed out - the server took too long to respond"),userFriendlyError.name="TimeoutError"):userFriendlyError=error2:userFriendlyError= -new Error("Unknown error occurred while sending message"),console.error("Error in sendMessage:",error2),onError&&onError(userFriendlyError),userFriendlyError}}static async areAllSlotsIdle(model,signal){try{const url2=model?`./slots?model=${encodeURIComponent(model)}`:"./slots",res=await fetch(url2,{signal});return res.ok?(await res.json()).every(s2=>!s2.is_processing):!0}catch{return!0}}static async preEncode(messages,model,excludeReasoning,signal){const requestBody={messages:messages.map(msg=>"\ -id"in msg&&"convId"in msg&&"timestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0).map(msg=>{const mapped={role:msg.role,content:excludeReasoning?ChatService.stripReasoningContent(msg.content):msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoning&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream:!1, -n_predict:0};model&&(requestBody.model=model);try{await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal})}catch(error2){isAbortError(error2)||console.warn("[ChatService] Pre-encode request failed:",error2)}}static async handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,abortSignal){const reader=response.body?.getReader();if(!reader)throw new Error("No response bo\ -dy");const decoder=new TextDecoder;let aggregatedContent="",fullReasoningContent="",aggregatedToolCalls=[],lastTimings,streamFinished=!1,modelEmitted=!1,toolCallIndexOffset=0,hasOpenToolCallBatch=!1;const finalizeOpenToolCallBatch=()=>{hasOpenToolCallBatch&&(toolCallIndexOffset=aggregatedToolCalls.length,hasOpenToolCallBatch=!1)},processToolCallDelta=toolCalls=>{if(!toolCalls||toolCalls.length===0||(aggregatedToolCalls=ChatService.mergeToolCallDeltas(aggregatedToolCalls,toolCalls,toolCallIndexOffset), -aggregatedToolCalls.length===0))return;hasOpenToolCallBatch=!0;const serializedToolCalls=JSON.stringify(aggregatedToolCalls);serializedToolCalls&&(abortSignal?.aborted||onToolCallChunk?.(serializedToolCalls))};try{let chunk="";for(;!abortSignal?.aborted;){const{done,value}=await reader.read();if(done||abortSignal?.aborted)break;chunk+=decoder.decode(value,{stream:!0});const lines=chunk.split(` +MimeTypeImage.PNG))},img.onerror=()=>{reject(new Error("Failed to load WebP image. Ensure the WebP data is valid."))},img.src=base64UrlWebp}catch(error2){const errorMessage=`Error converting WebP to PNG: ${error2 instanceof Error?error2.message:String(error2)}`;console.error(errorMessage,error2),reject(new Error(errorMessage))}})}function isWebpMimeType(mimeType){return mimeType===MimeTypeImage.WEBP}function readFileAsBase64(file){return new Promise((resolve2,reject)=>{const reader=new FileReader; +reader.onload=()=>{const base642=reader.result.split(",")[1];resolve2(base642)},reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}async function parseFilesToMessageExtras(files,activeModelId){const extras=[],emptyFiles=[];for(const file of files){if(file.type===SpecialFileType.MCP_PROMPT&&file.mcpPrompt){extras.push({type:AttachmentType.MCP_PROMPT,name:file.name,size:file.size,serverName:file.mcpPrompt.serverName,promptName:file.mcpPrompt.promptName,content:file.textContent??"", +arguments:file.mcpPrompt.arguments});continue}if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){if(file.preview){let base64Url=file.preview;if(isSvgMimeType(file.type))try{base64Url=await svgBase64UrlToPngDataURL(base64Url)}catch(error2){console.error("Failed to convert SVG to PNG for database storage:",error2)}else if(isWebpMimeType(file.type))try{base64Url=await webpBase64UrlToPngDataURL(base64Url)}catch(error2){console.error("Failed to convert WebP to PNG for database storage:",error2)} +extras.push({type:AttachmentType.IMAGE,name:file.name,size:file.size,base64Url})}}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)try{const base64Data=await readFileAsBase64(file.file);extras.push({type:AttachmentType.AUDIO,name:file.name,size:file.size,base64Data,mimeType:file.type})}catch(error2){console.error(`Failed to process audio file ${file.name}:`,error2)}else if(getFileTypeCategory(file.type)===FileTypeCategory.PDF)try{const base64Data=await readFileAsBase64(file.file), +currentConfig=config$1(),hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1;let shouldProcessAsImages=!!currentConfig.pdfAsImage&&hasVisionSupport;if(currentConfig.pdfAsImage&&!hasVisionSupport&&(console.log("Non-vision model detected: forcing PDF-to-text mode and updating settings"),settingsStore.updateConfig(SETTINGS_KEYS.PDF_AS_IMAGE,!1),toast.warning("PDF setting changed: Non-vision model detected, PDFs will be processed as text instead of images.",{duration:5e3}), +shouldProcessAsImages=!1),shouldProcessAsImages)try{const images=await convertPDFToImage(file.file);toast.success(`PDF "${file.name}" processed as ${images.length} images for vision model.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,size:file.size,content:`PDF file with ${images.length} pages`,images,processedAsImages:!0,base64Data})}catch(imageError){console.warn(`Failed to process PDF ${file.name} as images, falling back to text:`,imageError);const content2=await convertPDFToText( +file.file);extras.push({type:AttachmentType.PDF,name:file.name,size:file.size,content:content2,processedAsImages:!1,base64Data})}else{const content2=await convertPDFToText(file.file);toast.success(`PDF "${file.name}" processed as text content.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,size:file.size,content:content2,processedAsImages:!1,base64Data})}}catch(error2){console.error(`Failed to process PDF file ${file.name}:`,error2)}else try{const content2=await readFileAsText( +file.file);content2.trim()===""?(console.warn(`File ${file.name} is empty and will be skipped`),emptyFiles.push(file.name)):isLikelyTextFile(content2)?extras.push({type:AttachmentType.TEXT,name:file.name,size:file.size,content:content2}):console.warn(`File ${file.name} appears to be binary and will be skipped`)}catch(error2){console.error(`Failed to read file ${file.name}:`,error2)}}return{extras,emptyFiles}}function readFileAsDataURL(file){return new Promise((resolve2,reject)=>{const reader=new FileReader; +reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}function readFileAsUTF8(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsText(file)})}async function processFilesToChatUploaded(files,activeModelId){const results=[];for(const file of files){const base2={id:Date.now().toString()+Math.random().toString(36).substr(2,9),name:file. +name,size:file.size,type:file.type,file};try{if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){let preview=await readFileAsDataURL(file);if(isSvgMimeType(file.type))try{preview=await svgBase64UrlToPngDataURL(preview)}catch(err){console.error("Failed to convert SVG to PNG:",err)}else if(isWebpMimeType(file.type))try{preview=await webpBase64UrlToPngDataURL(preview)}catch(err){console.error("Failed to convert WebP to PNG:",err)}results.push({...base2,preview})}else if(getFileTypeCategory( +file.type)===FileTypeCategory.PDF){try{const textContent=await convertPDFToText(file);results.push({...base2,textContent})}catch(err){console.warn("Failed to extract text from PDF, adding without content:",err),results.push(base2)}const hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1,currentConfig=settingsStore.config;hasVisionSupport&&!currentConfig.pdfAsImage&&toast.info("You can enable parsing PDF as images with vision models.",{duration:8e3,action:{label:"Ena\ +ble PDF as Images",onClick:()=>{settingsStore.updateConfig(SETTINGS_KEYS.PDF_AS_IMAGE,!0),toast.success("PDF parsing as images enabled!",{duration:3e3})}}})}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO){const preview=await readFileAsDataURL(file);results.push({...base2,preview})}else try{const textContent=await readFileAsUTF8(file);results.push({...base2,textContent})}catch(err){console.warn("Failed to read file as text, adding without content:",err),results.push(base2)}}catch(error2){ +console.error("Error processing file",file.name,error2),results.push(base2)}}return results}var root_1$T=from_html(" Text",1),root_3$T=from_html('
        '),root_2$14=from_html(" Pages",1),root_8$s=from_html('The selected model does not support vision. Only the extracted text will be sent to the model.'),root_6$t=from_html( +" ",1),root_9$l=from_html('

        Converting PDF to images...

        '),root_10$g=from_html('

        Failed to load PDF images

        \ +

        '),root_12$a=from_html('

        ',1),root_13$e=from_html('

        No PDF pages available

        '),root_14$6=from_html('
        '),root$1x=from_html('
        ',1); +function ChatAttachmentsPreviewCurrentItemPdf($$anchor,$$props){push$1($$props,!0);let pdfViewMode=state$1(proxy(PdfViewMode.PAGES)),pdfImages=state$1(proxy([])),pdfImagesLoading=state$1(!1),pdfImagesError=state$1(null),language2=user_derived(()=>getLanguageFromFilename($$props.displayName));async function loadPdfImages(){if(!(get$3(pdfImages).length>0||get$3(pdfImagesLoading)||!$$props.currentItem)){set$1(pdfImagesLoading,!0),set$1(pdfImagesError,null);try{let file=null;if($$props.currentItem.uploadedFile?. +file)file=$$props.currentItem.uploadedFile.file;else if($$props.currentItem.attachment){if("images"in $$props.currentItem.attachment&&$$props.currentItem.attachment.images&&Array.isArray($$props.currentItem.attachment.images)&&$$props.currentItem.attachment.images.length>0){set$1(pdfImages,$$props.currentItem.attachment.images,!0);return}if("base64Data"in $$props.currentItem.attachment&&$$props.currentItem.attachment.base64Data){const base64Data=$$props.currentItem.attachment.base64Data,byteCharacters=atob( +base64Data),byteNumbers=new Array(byteCharacters.length);for(let i=0;i{get$3(pdfViewMode)===PdfViewMode.PAGES&&loadPdfImages()});var fragment=root$1x(),div=first_child(fragment),node2=child(div);{let $0=user_derived(()=>get$3(pdfViewMode)===PdfViewMode.TEXT?"default":"outline");Button(node2,{get variant(){return get$3($0)},size:"sm",onclick:()=>set$1(pdfViewMode,PdfViewMode.TEXT,!0),get disabled(){return get$3(pdfImagesLoading)},children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$T(),node_1=first_child(fragment_1);File_text(node_1,{class:"\ +mr-1 h-4 w-4"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var node_2=sibling(node2,2);{let $0=user_derived(()=>get$3(pdfViewMode)===PdfViewMode.PAGES?"default":"outline");Button(node_2,{get variant(){return get$3($0)},size:"sm",onclick:()=>set$1(pdfViewMode,PdfViewMode.PAGES,!0),get disabled(){return get$3(pdfImagesLoading)},children:($$anchor2,$$slotProps)=>{var fragment_2=root_2$14(),node_3=first_child(fragment_2);{var consequent=$$anchor3=>{var div_1=root_3$T();append($$anchor3, +div_1)},alternate=$$anchor3=>{Eye($$anchor3,{class:"mr-1 h-4 w-4"})};if_block(node_3,$$render=>{get$3(pdfImagesLoading)?$$render(consequent):$$render(alternate,-1)})}next$1(),append($$anchor2,fragment_2)},$$slots:{default:!0}})}reset(div);var node_4=sibling(div,2);{var consequent_1=$$anchor2=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);component(node_5,()=>Alert,($$anchor3,Alert_Root)=>{Alert_Root($$anchor3,{class:"mb-4 max-w-4xl",children:($$anchor4,$$slotProps)=>{var fragment_5=root_6$t(), +node_6=first_child(fragment_5);Info$1(node_6,{class:"h-4 w-4"});var node_7=sibling(node_6,2);component(node_7,()=>Alert_title,($$anchor5,Alert_Title)=>{Alert_Title($$anchor5,{children:($$anchor6,$$slotProps2)=>{next$1();var text2=text$8("Preview only");append($$anchor6,text2)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);component(node_8,()=>Alert_description,($$anchor5,Alert_Description)=>{Alert_Description($$anchor5,{children:($$anchor6,$$slotProps2)=>{var span=root_8$s(),span_1=sibling( +child(span));next$1(),reset(span),delegated("click",span_1,()=>set$1(pdfViewMode,PdfViewMode.TEXT,!0)),append($$anchor6,span)},$$slots:{default:!0}})}),append($$anchor4,fragment_5)},$$slots:{default:!0}})}),append($$anchor2,fragment_4)};if_block(node_4,$$render=>{!$$props.hasVisionModality&&$$props.activeModelId&&$$props.currentItem&&$$render(consequent_1)})}var node_9=sibling(node_4,2);{var consequent_2=$$anchor2=>{var div_2=root_9$l();append($$anchor2,div_2)},consequent_3=$$anchor2=>{var div_3=root_10$g(), +div_4=child(div_3),node_10=child(div_4);File_text(node_10,{class:"mx-auto mb-4 h-16 w-16 text-white/50"});var p2=sibling(node_10,4),text_1=child(p2,!0);reset(p2),reset(div_4),reset(div_3),template_effect(()=>set_text(text_1,get$3(pdfImagesError))),append($$anchor2,div_3)},consequent_4=$$anchor2=>{var fragment_6=comment$2(),node_11=first_child(fragment_6);each(node_11,18,()=>get$3(pdfImages),image2=>image2,($$anchor3,image2,index2)=>{var fragment_7=root_12$a(),p_1=first_child(fragment_7),text_2=child( +p_1);reset(p_1);var img=sibling(p_1,2);next$1(2),template_effect(()=>{set_text(text_2,`Page ${get$3(index2)+1}`),set_attribute(img,"src",image2),set_attribute(img,"alt",`PDF Page ${get$3(index2)+1}`)}),append($$anchor3,fragment_7)}),append($$anchor2,fragment_6)},alternate_1=$$anchor2=>{var div_5=root_13$e(),div_6=child(div_5),node_12=child(div_6);File_text(node_12,{class:"mx-auto mb-4 h-16 w-16 text-white/50"}),next$1(2),reset(div_6),reset(div_5),append($$anchor2,div_5)};if_block(node_9,$$render=>{ +get$3(pdfImagesLoading)?$$render(consequent_2):get$3(pdfImagesError)?$$render(consequent_3,1):get$3(pdfImages).length>0?$$render(consequent_4,2):$$render(alternate_1,-1)})}var node_13=sibling(node_9,2);{var consequent_5=$$anchor2=>{var div_7=root_14$6(),node_14=child(div_7);SyntaxHighlightedCode(node_14,{class:"max-w-4xl",get code(){return $$props.displayTextContent},get language(){return get$3(language2)},maxHeight:"none"}),reset(div_7),append($$anchor2,div_7)};if_block(node_13,$$render=>{get$3( +pdfViewMode)===PdfViewMode.TEXT&&$$props.displayTextContent&&$$render(consequent_5)})}append($$anchor,fragment),pop()}delegate(["click"]);var root_1$S=from_html('
        ');function ChatAttachmentsPreviewCurrentItemImage($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$S(),img=child(div); +reset(div),template_effect(()=>{set_attribute(img,"src",$$props.displayPreview),set_attribute(img,"alt",$$props.currentItem?.name||"preview")}),append($$anchor2,div)};if_block(node2,$$render=>{$$props.displayPreview&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_1$R=from_html(''),root_2$13=from_html('

        Audio preview not available

        '),root$1w=from_html('

        ');function ChatAttachmentsPreviewCurrentItemAudio($$anchor,$$props){push$1($$props,!0);var div=root$1w(),div_1=child(div),node2=child(div_1);Music(node2,{class:"mx-auto mb-4 h-16 w-16 text-white/50"});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var audio=root_1$R();template_effect(()=>set_attribute(audio,"src",$$props.audioSrc)),append( +$$anchor2,audio)},alternate=$$anchor2=>{var p2=root_2$13();append($$anchor2,p2)};if_block(node_1,$$render=>{$$props.audioSrc?$$render(consequent):$$render(alternate,-1)})}var p_1=sibling(node_1,2),text2=child(p_1,!0);reset(p_1),reset(div_1),reset(div),template_effect(()=>set_text(text2,$$props.currentItem?.name||"Audio")),append($$anchor,div),pop()}var root_1$Q=from_html('
        ');function ChatAttachmentsPreviewCurrentItemText($$anchor,$$props){var fragment=comment$2(), +node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$Q(),node_1=child(div);SyntaxHighlightedCode(node_1,{class:"max-w-4xl",get code(){return $$props.displayTextContent},get language(){return $$props.language},maxHeight:"none"}),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.displayTextContent&&$$render(consequent)})}append($$anchor,fragment)}var root$1v=from_html('

        Preview not available for this file type

        ');function ChatAttachmentsPreviewCurrentItemUnavailable($$anchor,$$props){var div=root$1v(),div_1=child(div),node2=child(div_1);component(node2,()=>$$props.IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{class:"mx-auto mb-4 h-16 w-16 text-white/50"})}),next$1(2),reset(div_1),reset(div),append($$anchor,div)}function ChatAttachmentsPreviewCurrentItem($$anchor,$$props){push$1($$props,!0);let IconComponent=user_derived( +()=>$$props.isImage?Image$1:$$props.isText||$$props.isPdf?File_text:$$props.isAudio?Music:File$1),isUnavailable=user_derived(()=>!$$props.isPdf&&!$$props.isImage&&!($$props.isText&&$$props.displayTextContent)&&!$$props.isAudio);var fragment=comment$2(),node2=first_child(fragment);{var consequent_5=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);key$1(node_1,()=>$$props.currentItem.id,$$anchor3=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor4=>{ +ChatAttachmentsPreviewCurrentItemPdf($$anchor4,{get currentItem(){return $$props.currentItem},get displayName(){return $$props.currentItem.name},get displayTextContent(){return $$props.displayTextContent},get hasVisionModality(){return $$props.hasVisionModality},get activeModelId(){return $$props.activeModelId}})},consequent_1=$$anchor4=>{ChatAttachmentsPreviewCurrentItemImage($$anchor4,{get currentItem(){return $$props.currentItem},get displayPreview(){return $$props.displayPreview}})},consequent_2=$$anchor4=>{ +ChatAttachmentsPreviewCurrentItemText($$anchor4,{get displayTextContent(){return $$props.displayTextContent},get language(){return $$props.language}})},consequent_3=$$anchor4=>{ChatAttachmentsPreviewCurrentItemAudio($$anchor4,{get currentItem(){return $$props.currentItem},get audioSrc(){return $$props.audioSrc}})},consequent_4=$$anchor4=>{ChatAttachmentsPreviewCurrentItemUnavailable($$anchor4,{get IconComponent(){return get$3(IconComponent)}})};if_block(node_2,$$render=>{$$props.isPdf?$$render(consequent): +$$props.isImage?$$render(consequent_1,1):$$props.isText&&$$props.displayTextContent?$$render(consequent_2,2):$$props.isAudio?$$render(consequent_3,3):get$3(isUnavailable)&&$$render(consequent_4,4)})}append($$anchor3,fragment_2)}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.currentItem&&$$render(consequent_5)})}append($$anchor,fragment),pop()}class ChatService{static async generateTitle(message,model,signal){let titleResponse="";try{await ChatService.sendMessage([message],{model:model|| +void 0,stream:!0,custom:{chat_template_kwargs:{enable_thinking:!1}},onChunk:chunk=>{titleResponse+=chunk}},void 0,signal)}catch{return""}return titleResponse}static async sendMessage(messages,options={},conversationId,signal){const{stream,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,tools,temperature,max_tokens,dynatemp_range,dynatemp_exponent,top_k,top_p,min_p,xtc_probability,xtc_threshold,typ_p,repeat_last_n,repeat_penalty,presence_penalty,frequency_penalty,dry_multiplier, +dry_base,dry_allowed_length,dry_penalty_last_n,samplers,backend_sampling,custom:custom2,timings_per_token,disableReasoningParsing,excludeReasoningFromContext}=options,normalizedMessages=messages.map(msg=>{if("id"in msg&&"convId"in msg&&"timestamp"in msg){const dbMsg=msg;return ChatService.convertDbMessageToApiChatMessageData(dbMsg)}else return msg}).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);options.model&&!modelsStore.modelSupportsVision( +options.model)&&normalizedMessages.forEach(msg=>{Array.isArray(msg.content)&&(msg.content=msg.content.filter(part=>part.type===ContentPartType.IMAGE_URL?(console.info(`[ChatService] Skipping image attachment in message history (model "${options.model}" does not support vision)`),!1):!0),msg.content.length===1&&msg.content[0].type===ContentPartType.TEXT&&typeof msg.content[0].text=="string"&&(msg.content=msg.content[0].text))});const requestBody={messages:normalizedMessages.map(msg=>{const mapped={ +role:msg.role,content:msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoningFromContext&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream,return_progress:stream?!0:void 0,tools:tools&&tools.length>0?tools:void 0};if(options.model&&(requestBody.model=options.model),requestBody.reasoning_format=disableReasoningParsing?ReasoningFormat.NONE:ReasoningFormat.AUTO,temperature!==void 0&&(requestBody.temperature=temperature),max_tokens!== +void 0&&(requestBody.max_tokens=max_tokens!==null&&max_tokens!==0?max_tokens:-1),dynatemp_range!==void 0&&(requestBody.dynatemp_range=dynatemp_range),dynatemp_exponent!==void 0&&(requestBody.dynatemp_exponent=dynatemp_exponent),top_k!==void 0&&(requestBody.top_k=top_k),top_p!==void 0&&(requestBody.top_p=top_p),min_p!==void 0&&(requestBody.min_p=min_p),xtc_probability!==void 0&&(requestBody.xtc_probability=xtc_probability),xtc_threshold!==void 0&&(requestBody.xtc_threshold=xtc_threshold),typ_p!== +void 0&&(requestBody.typ_p=typ_p),repeat_last_n!==void 0&&(requestBody.repeat_last_n=repeat_last_n),repeat_penalty!==void 0&&(requestBody.repeat_penalty=repeat_penalty),presence_penalty!==void 0&&(requestBody.presence_penalty=presence_penalty),frequency_penalty!==void 0&&(requestBody.frequency_penalty=frequency_penalty),dry_multiplier!==void 0&&(requestBody.dry_multiplier=dry_multiplier),dry_base!==void 0&&(requestBody.dry_base=dry_base),dry_allowed_length!==void 0&&(requestBody.dry_allowed_length= +dry_allowed_length),dry_penalty_last_n!==void 0&&(requestBody.dry_penalty_last_n=dry_penalty_last_n),samplers!==void 0&&(requestBody.samplers=typeof samplers=="string"?samplers.split(";").filter(s2=>s2.trim()):samplers),backend_sampling!==void 0&&(requestBody.backend_sampling=backend_sampling),timings_per_token!==void 0&&(requestBody.timings_per_token=timings_per_token),custom2)try{const customParams=typeof custom2=="string"?JSON.parse(custom2):custom2;Object.assign(requestBody,customParams)}catch(error2){ +console.warn("Failed to parse custom parameters:",error2)}try{const response=await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal});if(!response.ok){const error2=await ChatService.parseErrorResponse(response);throw onError&&onError(error2),error2}if(stream){await ChatService.handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,signal);return}else return ChatService. +handleNonStreamResponse(response,onComplete,onError,onToolCallChunk,onModel)}catch(error2){if(isAbortError(error2)){console.log("Chat completion request was aborted");return}let userFriendlyError;throw error2 instanceof Error?error2.name==="TypeError"&&error2.message.includes("fetch")?(userFriendlyError=new Error("Unable to connect to server - please check if the server is running"),userFriendlyError.name="NetworkError"):error2.message.includes("ECONNREFUSED")?(userFriendlyError=new Error("Conne\ +ction refused - server may be offline"),userFriendlyError.name="NetworkError"):error2.message.includes("ETIMEDOUT")?(userFriendlyError=new Error("Request timed out - the server took too long to respond"),userFriendlyError.name="TimeoutError"):userFriendlyError=error2:userFriendlyError=new Error("Unknown error occurred while sending message"),console.error("Error in sendMessage:",error2),onError&&onError(userFriendlyError),userFriendlyError}}static async areAllSlotsIdle(model,signal){try{const url2=model? +`./slots?model=${encodeURIComponent(model)}`:"./slots",res=await fetch(url2,{signal});return res.ok?(await res.json()).every(s2=>!s2.is_processing):!0}catch{return!0}}static async preEncode(messages,model,excludeReasoning,signal){const requestBody={messages:messages.map(msg=>"id"in msg&&"convId"in msg&&"timestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0).map(msg=>{const mapped={ +role:msg.role,content:excludeReasoning?ChatService.stripReasoningContent(msg.content):msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoning&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream:!1,n_predict:0};model&&(requestBody.model=model);try{await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal})}catch(error2){isAbortError(error2)||console.warn("[ChatServic\ +e] Pre-encode request failed:",error2)}}static async handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,abortSignal){const reader=response.body?.getReader();if(!reader)throw new Error("No response body");const decoder=new TextDecoder;let aggregatedContent="",fullReasoningContent="",aggregatedToolCalls=[],lastTimings,streamFinished=!1,modelEmitted=!1,toolCallIndexOffset=0,hasOpenToolCallBatch=!1;const finalizeOpenToolCallBatch=()=>{ +hasOpenToolCallBatch&&(toolCallIndexOffset=aggregatedToolCalls.length,hasOpenToolCallBatch=!1)},processToolCallDelta=toolCalls=>{if(!toolCalls||toolCalls.length===0||(aggregatedToolCalls=ChatService.mergeToolCallDeltas(aggregatedToolCalls,toolCalls,toolCallIndexOffset),aggregatedToolCalls.length===0))return;hasOpenToolCallBatch=!0;const serializedToolCalls=JSON.stringify(aggregatedToolCalls);serializedToolCalls&&(abortSignal?.aborted||onToolCallChunk?.(serializedToolCalls))};try{let chunk="";for(;!abortSignal?. +aborted;){const{done,value}=await reader.read();if(done||abortSignal?.aborted)break;chunk+=decoder.decode(value,{stream:!0});const lines=chunk.split(` `);chunk=lines.pop()||"";for(const line of lines){if(abortSignal?.aborted)break;if(line.startsWith(UrlProtocol.DATA)){const data=line.slice(6);if(data==="[DONE]"){streamFinished=!0;continue}try{const parsed=JSON.parse(data),choice=parsed.choices?.[0],content2=choice?.delta?.content,reasoningContent=choice?.delta?.reasoning_content,toolCalls=choice?.delta?.tool_calls,timings=parsed.timings,promptProgress=parsed.prompt_progress,chunkModel=ChatService.extractModelName(parsed);chunkModel&&!modelEmitted&& (modelEmitted=!0,onModel?.(chunkModel)),promptProgress&&ChatService.notifyTimings(void 0,promptProgress,onTimings),timings&&(ChatService.notifyTimings(timings,promptProgress,onTimings),lastTimings=timings),content2&&(finalizeOpenToolCallBatch(),aggregatedContent+=content2,abortSignal?.aborted||onChunk?.(content2)),reasoningContent&&(finalizeOpenToolCallBatch(),fullReasoningContent+=reasoningContent,abortSignal?.aborted||onReasoningChunk?.(reasoningContent)),processToolCallDelta(toolCalls)}catch(e){ console.error("Error parsing JSON chunk:",e)}}}if(abortSignal?.aborted)break}if(abortSignal?.aborted)return;if(streamFinished){finalizeOpenToolCallBatch();const finalToolCalls=aggregatedToolCalls.length>0?JSON.stringify(aggregatedToolCalls):void 0;onComplete?.(aggregatedContent,fullReasoningContent||void 0,lastTimings,finalToolCalls)}}catch(error2){const err=error2 instanceof Error?error2:new Error("Stream error");throw onError?.(err),err}finally{reader.releaseLock()}}static async handleNonStreamResponse(response,onComplete,onError,onToolCallChunk,onModel){ @@ -6193,606 +6385,135 @@ TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_PDF_FILE,pdfFile.name,pdfFile.co push({type:ContentPartType.TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_MCP_RESOURCE,mcpResource.name,mcpResource.content,mcpResource.serverName)});const result={role:message.role,content:contentParts};return message.reasoningContent&&(result.reasoning_content=message.reasoningContent),toolCalls&&toolCalls.length>0&&(result.tool_calls=toolCalls),result}static stripReasoningContent(content2){const stripFromString=text2=>text2.replace(LEGACY_AGENTIC_REGEX.REASONING_BLOCK,"").trim();return typeof content2== "string"?stripFromString(content2):content2.map(part=>part.type===ContentPartType.TEXT&&part.text?{...part,text:stripFromString(part.text)}:part)}static async parseErrorResponse(response){try{const errorText=await response.text(),errorData=JSON.parse(errorText),message=errorData.error?.message||"Unknown server error",error2=new Error(message);return error2.name=response.status===400?"ServerError":"HttpError",errorData.error&&"n_prompt_tokens"in errorData.error&&"n_ctx"in errorData.error&&(error2. contextInfo={n_prompt_tokens:errorData.error.n_prompt_tokens,n_ctx:errorData.error.n_ctx}),error2}catch{const fallback2=new Error(`Server error (${response.status}): ${response.statusText}`);return fallback2.name="HttpError",fallback2}}static extractModelName(data){const asRecord=value=>typeof value=="object"&&value!==null?value:void 0,getTrimmedString=value=>typeof value=="string"&&value.trim()?value.trim():void 0,root2=asRecord(data);if(!root2)return;const rootModel=getTrimmedString(root2.model); -if(rootModel)return rootModel;const firstChoice=Array.isArray(root2.choices)?asRecord(root2.choices[0]):void 0;if(!firstChoice)return;const deltaModel=getTrimmedString(asRecord(firstChoice.delta)?.model);if(deltaModel)return deltaModel;const messageModel=getTrimmedString(asRecord(firstChoice.message)?.model);if(messageModel)return messageModel}static notifyTimings(timings,promptProgress,onTimingsCallback){!onTimingsCallback||!timings&&!promptProgress||onTimingsCallback(timings,promptProgress)}}class ModelsService{static async list(){ -return apiFetch(API_MODELS.LIST)}static async listRouter(){return apiFetch(API_MODELS.LIST)}static async load(modelId,extraArgs){const payload={model:modelId};return extraArgs&&extraArgs.length>0&&(payload.extra_args=extraArgs),apiPost(API_MODELS.LOAD,payload)}static async unload(modelId){return apiPost(API_MODELS.UNLOAD,{model:modelId})}static isModelLoaded(model){return model.status.value===ServerModelStatus.LOADED}static isModelLoading(model){return model.status.value===ServerModelStatus.LOADING}static parseModelId(modelId){ -const result={raw:modelId,orgName:null,modelName:null,params:null,activatedParams:null,quantization:null,tags:[]},colonIdx=modelId.indexOf(MODEL_ID_QUANTIZATION_SEPARATOR);let modelPath;colonIdx!==MODEL_ID_NOT_FOUND?(result.quantization=modelId.slice(colonIdx+1)||null,modelPath=modelId.slice(0,colonIdx)):modelPath=modelId;const slashIdx=modelPath.indexOf(MODEL_ID_ORG_SEPARATOR);let modelStr;slashIdx!==MODEL_ID_NOT_FOUND?(result.orgName=modelPath.slice(0,slashIdx),modelStr=modelPath.slice(slashIdx+ -1)):modelStr=modelPath;const dotIdx=modelStr.lastIndexOf(".");if(dotIdx!==MODEL_ID_NOT_FOUND&&!result.quantization){const afterDot=modelStr.slice(dotIdx+1);MODEL_QUANTIZATION_SEGMENT_RE.test(afterDot)&&(result.quantization=afterDot,modelStr=modelStr.slice(0,dotIdx))}const segments=modelStr.split(MODEL_ID_SEGMENT_SEPARATOR);if(!result.quantization&&segments.length>1){const last=segments[segments.length-1],secondLast=segments.length>2?segments[segments.length-2]:null;MODEL_QUANTIZATION_SEGMENT_RE. -test(last)&&(secondLast&&MODEL_CUSTOM_QUANTIZATION_PREFIX_RE.test(secondLast)?(result.quantization=`${secondLast}-${last}`,segments.splice(segments.length-2,2)):(result.quantization=last,segments.pop()))}let paramsIdx=MODEL_ID_NOT_FOUND,activatedParamsIdx=MODEL_ID_NOT_FOUND;for(let i=0;i{const absIdx=paramsIdx+1+relIdx;return absIdx===activatedParamsIdx?!1:!MODEL_IGNORED_SEGMENTS.has(segments[absIdx].toUpperCase())})),result}}class ModelsStore{#models=state$1(proxy( -[]));get models(){return get$3(this.#models)}set models(value){set$1(this.#models,value,!0)}#routerModels=state$1(proxy([]));get routerModels(){return get$3(this.#routerModels)}set routerModels(value){set$1(this.#routerModels,value,!0)}#loading=state$1(!1);get loading(){return get$3(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#updating=state$1(!1);get updating(){return get$3(this.#updating)}set updating(value){set$1(this.#updating,value,!0)}#error=state$1(null);get error(){return get$3( -this.#error)}set error(value){set$1(this.#error,value,!0)}#selectedModelId=state$1(null);get selectedModelId(){return get$3(this.#selectedModelId)}set selectedModelId(value){set$1(this.#selectedModelId,value,!0)}#selectedModelName=state$1(null);get selectedModelName(){return get$3(this.#selectedModelName)}set selectedModelName(value){set$1(this.#selectedModelName,value,!0)}#modelUsage=state$1(proxy(new Map));get modelUsage(){return get$3(this.#modelUsage)}set modelUsage(value){set$1(this.#modelUsage, -value,!0)}modelLoadingStates=new SvelteMap;#favoriteModelIds=state$1(proxy(this.loadFavoritesFromStorage()));get favoriteModelIds(){return get$3(this.#favoriteModelIds)}set favoriteModelIds(value){set$1(this.#favoriteModelIds,value,!0)}modelPropsCache=new TTLCache({ttlMs:MODEL_PROPS_CACHE_TTL_MS,maxEntries:MODEL_PROPS_CACHE_MAX_ENTRIES});#modelPropsFetching=state$1(proxy(new Set));get modelPropsFetching(){return get$3(this.#modelPropsFetching)}set modelPropsFetching(value){set$1(this.#modelPropsFetching, -value,!0)}#propsCacheVersion=state$1(0);get propsCacheVersion(){return get$3(this.#propsCacheVersion)}set propsCacheVersion(value){set$1(this.#propsCacheVersion,value,!0)}get selectedModel(){return this.selectedModelId?this.models.find(model=>model.id===this.selectedModelId)??null:null}get loadedModelIds(){return this.routerModels.filter(m=>m.status.value===ServerModelStatus.LOADED||m.status.value===ServerModelStatus.SLEEPING).map(m=>m.id)}get loadingModelIds(){return Array.from(this.modelLoadingStates. -entries()).filter(([,loading])=>loading).map(([id2])=>id2)}get singleModelName(){if(serverStore.isRouterMode)return null;const props=serverStore.props;return props?.model_alias?props.model_alias:props?.model_path&&props.model_path.split(/(\\|\/)/).pop()||null}getModelModalities(modelId){const model=this.models.find(m=>m.model===modelId||m.id===modelId);if(model?.modalities)return model.modalities;const props=this.modelPropsCache.get(modelId);return props?.modalities?{vision:props.modalities.vision?? -!1,audio:props.modalities.audio??!1}:null}modelSupportsVision(modelId){return this.getModelModalities(modelId)?.vision??!1}modelSupportsAudio(modelId){return this.getModelModalities(modelId)?.audio??!1}getModelModalitiesArray(modelId){const modalities=this.getModelModalities(modelId);if(!modalities)return[];const result=[];return modalities.vision&&result.push(ModelModality.VISION),modalities.audio&&result.push(ModelModality.AUDIO),result}getModelProps(modelId){return this.modelPropsCache.get(modelId)}getModelContextSize(modelId){ -const nCtx=this.getModelProps(modelId)?.default_generation_settings?.n_ctx;return typeof nCtx=="number"?nCtx:null}get selectedModelContextSize(){return this.selectedModelName?this.getModelContextSize(this.selectedModelName):null}isModelPropsFetching(modelId){return this.modelPropsFetching.has(modelId)}isModelLoaded(modelId){const model=this.routerModels.find(m=>m.id===modelId);return model?.status.value===ServerModelStatus.LOADED||model?.status.value===ServerModelStatus.SLEEPING||!1}isModelOperationInProgress(modelId){ -return this.modelLoadingStates.get(modelId)??!1}getModelStatus(modelId){return this.routerModels.find(m=>m.id===modelId)?.status.value??null}getModelUsage(modelId){return this.modelUsage.get(modelId)??new SvelteSet}isModelInUse(modelId){const usage=this.modelUsage.get(modelId);return usage!==void 0&&usage.size>0}async fetch(force=!1){if(!this.loading&&!(this.models.length>0&&!force)){this.loading=!0,this.error=null;try{serverStore.props||await serverStore.fetch();const response=await ModelsService. -list(),models=response.data.map((item,index2)=>{const details=response.models?.[index2],rawCapabilities=Array.isArray(details?.capabilities)?details?.capabilities:[],displayNameSource=details?.name&&details.name.trim().length>0?details.name:item.id,displayName=this.toDisplayName(displayNameSource),modelId=details?.model||item.id;return{id:item.id,name:displayName,model:modelId,description:details?.description,capabilities:rawCapabilities.filter(value=>!!value),details:details?.details,meta:item. -meta??null,parsedId:ModelsService.parseModelId(modelId),aliases:item.aliases??[],tags:item.tags??[]}});this.models=models;const serverProps2=serverStore.props;if(serverStore.isModelMode&&this.models.length>0&&serverProps2?.modalities){const modalities={vision:serverProps2.modalities.vision??!1,audio:serverProps2.modalities.audio??!1};this.modelPropsCache.set(this.models[0].model,serverProps2),this.models=this.models.map((model,index2)=>index2===0?{...model,modalities}:model)}}catch(error2){throw this. -models=[],this.error=error2 instanceof Error?error2.message:"Failed to load models",error2}finally{this.loading=!1}}}async fetchRouterModels(){try{const response=await ModelsService.listRouter();this.routerModels=response.data,await this.fetchModalitiesForLoadedModels();const o=this.models.filter(option2=>this.getModelProps(option2.model)?.webui!==!1);o.length===1&&this.isModelLoaded(o[0].model)&&this.selectModelById(o[0].id)}catch(error2){console.warn("Failed to fetch router models:",error2),this. -routerModels=[]}}async fetchModelProps(modelId){const cached2=this.modelPropsCache.get(modelId);if(cached2)return cached2;if(serverStore.isRouterMode&&!this.isModelLoaded(modelId)||this.modelPropsFetching.has(modelId))return null;this.modelPropsFetching.add(modelId);try{const props=await PropsService.fetchForModel(modelId);return this.modelPropsCache.set(modelId,props),props}catch(error2){return console.warn(`Failed to fetch props for model ${modelId}:`,error2),null}finally{this.modelPropsFetching. -delete(modelId)}}async fetchModalitiesForLoadedModels(){const loadedModelIds2=this.loadedModelIds;if(loadedModelIds2.length===0)return;const propsPromises=loadedModelIds2.map(modelId=>this.fetchModelProps(modelId));try{const results=await Promise.all(propsPromises);this.models=this.models.map(model=>{const modelIndex=loadedModelIds2.indexOf(model.model);if(modelIndex===-1)return model;const props=results[modelIndex];if(!props?.modalities)return model;const modalities={vision:props.modalities.vision?? -!1,audio:props.modalities.audio??!1};return{...model,modalities}}),this.propsCacheVersion++}catch(error2){console.warn("Failed to fetch modalities for loaded models:",error2)}}async updateModelModalities(modelId){try{const props=await this.fetchModelProps(modelId);if(!props?.modalities)return;const modalities={vision:props.modalities.vision??!1,audio:props.modalities.audio??!1};this.models=this.models.map(model=>model.model===modelId?{...model,modalities}:model),this.propsCacheVersion++}catch(error2){ -console.warn(`Failed to update modalities for model ${modelId}:`,error2)}}async selectModelById(modelId){if(!modelId||this.updating||this.selectedModelId===modelId)return;const option2=this.models.find(model=>model.id===modelId);if(!option2)throw new Error("Selected model is not available");this.updating=!0,this.error=null;try{this.selectedModelId=option2.id,this.selectedModelName=option2.model}finally{this.updating=!1}}selectModelByName(modelName){const option2=this.models.find(model=>model.model=== -modelName);option2&&(this.selectedModelId=option2.id,this.selectedModelName=option2.model)}clearSelection(){this.selectedModelId=null,this.selectedModelName=null}findModelByName(modelName){return this.models.find(model=>model.model===modelName)??null}findModelById(modelId){return this.models.find(model=>model.id===modelId)??null}hasModel(modelName){return this.models.some(model=>model.model===modelName)}static STATUS_POLL_INTERVAL=500;async pollForModelStatus(modelId,expectedStatus){let attempt=0; -for(;;){await this.fetchRouterModels();const currentStatus=this.getModelStatus(modelId);if(currentStatus===expectedStatus)return;if(currentStatus===ServerModelStatus.FAILED)throw new Error(`Model failed to ${expectedStatus===ServerModelStatus.LOADED?"load":"unload"}`);if(expectedStatus===ServerModelStatus.LOADED&¤tStatus===ServerModelStatus.UNLOADED&&attempt>2)throw new Error("Model was unloaded unexpectedly during loading");attempt++,await new Promise(resolve2=>setTimeout(resolve2,ModelsStore. -STATUS_POLL_INTERVAL))}}async loadModel(modelId){if(!this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.load(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.LOADED),await this.updateModelModalities(modelId),toast.success(`Model loaded: ${this.toDisplayName(modelId)}`)}catch(error2){throw this.error=error2 instanceof Error?error2.message:"Failed to load model",toast.error(`Failed to l\ -oad model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async unloadModel(modelId){if(this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.unload(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.UNLOADED),toast.info(`Model unloaded: ${this.toDisplayName(modelId)}`)}catch(error2){throw this.error=error2 instanceof Error?error2.message:"Failed \ -to unload model",toast.error(`Failed to unload model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async ensureModelLoaded(modelId){this.isModelLoaded(modelId)||await this.loadModel(modelId)}isFavorite(modelId){return this.favoriteModelIds.has(modelId)}toggleFavorite(modelId){const next2=new SvelteSet(this.favoriteModelIds);next2.has(modelId)?next2.delete(modelId):next2.add(modelId),this.favoriteModelIds=next2;try{localStorage.setItem(FAVORITE_MODELS_LOCALSTORAGE_KEY, -JSON.stringify([...next2]))}catch{toast.error("Failed to save favorite models to local storage")}}loadFavoritesFromStorage(){try{const raw2=localStorage.getItem(FAVORITE_MODELS_LOCALSTORAGE_KEY);return raw2?new Set(JSON.parse(raw2)):new Set}catch{return toast.error("Failed to load favorite models from local storage"),new Set}}toDisplayName(id2){const candidate=id2.split(/\\|\//).pop();return candidate&&candidate.trim().length>0?candidate:id2}clear(){this.models=[],this.routerModels=[],this.loading= -!1,this.updating=!1,this.error=null,this.selectedModelId=null,this.selectedModelName=null,this.modelUsage.clear(),this.modelLoadingStates.clear(),this.modelPropsCache.clear(),this.modelPropsFetching.clear()}pruneExpiredCache(){return this.modelPropsCache.prune()}}const modelsStore=new ModelsStore,modelOptions=()=>modelsStore.models,routerModels=()=>modelsStore.routerModels,modelsLoading=()=>modelsStore.loading,modelsUpdating=()=>modelsStore.updating,selectedModelId=()=>modelsStore.selectedModelId, -selectedModelName=()=>modelsStore.selectedModelName,singleModelName=()=>modelsStore.singleModelName,selectedModelContextSize=()=>modelsStore.selectedModelContextSize;function readFileAsBase64(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>{const base642=reader.result.split(",")[1];resolve2(base642)},reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}async function parseFilesToMessageExtras(files,activeModelId){const extras=[],emptyFiles=[]; -for(const file of files){if(file.type===SpecialFileType.MCP_PROMPT&&file.mcpPrompt){extras.push({type:AttachmentType.MCP_PROMPT,name:file.name,serverName:file.mcpPrompt.serverName,promptName:file.mcpPrompt.promptName,content:file.textContent??"",arguments:file.mcpPrompt.arguments});continue}if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){if(file.preview){let base64Url=file.preview;if(isSvgMimeType(file.type))try{base64Url=await svgBase64UrlToPngDataURL(base64Url)}catch(error2){console. -error("Failed to convert SVG to PNG for database storage:",error2)}else if(isWebpMimeType(file.type))try{base64Url=await webpBase64UrlToPngDataURL(base64Url)}catch(error2){console.error("Failed to convert WebP to PNG for database storage:",error2)}extras.push({type:AttachmentType.IMAGE,name:file.name,base64Url})}}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)try{const base64Data=await readFileAsBase64(file.file);extras.push({type:AttachmentType.AUDIO,name:file.name,base64Data,mimeType:file. -type})}catch(error2){console.error(`Failed to process audio file ${file.name}:`,error2)}else if(getFileTypeCategory(file.type)===FileTypeCategory.PDF)try{const base64Data=await readFileAsBase64(file.file),currentConfig=config$1(),hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1;let shouldProcessAsImages=!!currentConfig.pdfAsImage&&hasVisionSupport;if(currentConfig.pdfAsImage&&!hasVisionSupport&&(console.log("Non-vision model detected: forcing PDF-to-text mode and \ -updating settings"),settingsStore.updateConfig("pdfAsImage",!1),toast.warning("PDF setting changed: Non-vision model detected, PDFs will be processed as text instead of images.",{duration:5e3}),shouldProcessAsImages=!1),shouldProcessAsImages)try{const images=await convertPDFToImage(file.file);toast.success(`PDF "${file.name}" processed as ${images.length} images for vision model.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,content:`PDF file with ${images.length} pages`,images, -processedAsImages:!0,base64Data})}catch(imageError){console.warn(`Failed to process PDF ${file.name} as images, falling back to text:`,imageError);const content2=await convertPDFToText(file.file);extras.push({type:AttachmentType.PDF,name:file.name,content:content2,processedAsImages:!1,base64Data})}else{const content2=await convertPDFToText(file.file);toast.success(`PDF "${file.name}" processed as text content.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,content:content2, -processedAsImages:!1,base64Data})}}catch(error2){console.error(`Failed to process PDF file ${file.name}:`,error2)}else try{const content2=await readFileAsText(file.file);content2.trim()===""?(console.warn(`File ${file.name} is empty and will be skipped`),emptyFiles.push(file.name)):isLikelyTextFile(content2)?extras.push({type:AttachmentType.TEXT,name:file.name,content:content2}):console.warn(`File ${file.name} appears to be binary and will be skipped`)}catch(error2){console.error(`Failed to read\ - file ${file.name}:`,error2)}}return{extras,emptyFiles}}function readFileAsDataURL(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}function readFileAsUTF8(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsText(file)})}async function processFilesToChatUploaded(files,activeModelId){ -const results=[];for(const file of files){const base2={id:Date.now().toString()+Math.random().toString(36).substr(2,9),name:file.name,size:file.size,type:file.type,file};try{if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){let preview=await readFileAsDataURL(file);if(isSvgMimeType(file.type))try{preview=await svgBase64UrlToPngDataURL(preview)}catch(err){console.error("Failed to convert SVG to PNG:",err)}else if(isWebpMimeType(file.type))try{preview=await webpBase64UrlToPngDataURL(preview)}catch(err){ -console.error("Failed to convert WebP to PNG:",err)}results.push({...base2,preview})}else if(getFileTypeCategory(file.type)===FileTypeCategory.PDF){try{const textContent=await convertPDFToText(file);results.push({...base2,textContent})}catch(err){console.warn("Failed to extract text from PDF, adding without content:",err),results.push(base2)}const hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1,currentConfig=settingsStore.config;hasVisionSupport&&!currentConfig.pdfAsImage&& -toast.info("You can enable parsing PDF as images with vision models.",{duration:8e3,action:{label:"Enable PDF as Images",onClick:()=>{settingsStore.updateConfig("pdfAsImage",!0),toast.success("PDF parsing as images enabled!",{duration:3e3})}}})}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO){const preview=await readFileAsDataURL(file);results.push({...base2,preview})}else try{const textContent=await readFileAsUTF8(file);results.push({...base2,textContent})}catch(err){console.warn( -"Failed to read file as text, adding without content:",err),results.push(base2)}}catch(error2){console.error("Error processing file",file.name,error2),results.push(base2)}}return results}var root_2$1a=from_html(" Text",1),root_4$z=from_html('
        '),root_3$V=from_html(" Pages",1),root_1$V=from_html('
        '),root_6$x=from_html('
        '),root_11$g=from_html('The selected model does not support vision. Only the extracted text will be sent to the model.'),root_9$m=from_html(" ",1),root_12$d=from_html('

        Converting PDF to images...

        '),root_13$c=from_html('

        Failed to load PDF images

        '),root_16$5=from_html('

        '),root_15$c=from_html('
        '),root_17$a=from_html('

        No PDF pages available

        '),root_7$t=from_html(" ",1),root_20$6=from_html(''),root_21$7=from_html(''),root_22$2=from_html('

        Audio preview not available

        '),root_19$a=from_html('

        '),root_23$3=from_html('

        Preview not available for this file type

        <\ -/div>
        '),root$1y=from_html('
        ');function ChatAttachmentPreview($$anchor,$$props){push$1($$props,!0);let hasVisionModality=user_derived(()=>$$props.activeModelId?modelsStore.modelSupportsVision($$props.activeModelId):!1),displayName=user_derived(()=>$$props.uploadedFile?.name||$$props.attachment?.name||$$props.name||"Unknown File"),isAudio=user_derived(()=>isAudioFile( -$$props.attachment,$$props.uploadedFile)),isImage2=user_derived(()=>isImageFile($$props.attachment,$$props.uploadedFile)),isPdf=user_derived(()=>isPdfFile$1($$props.attachment,$$props.uploadedFile)),isText=user_derived(()=>isTextFile($$props.attachment,$$props.uploadedFile)),displayPreview=user_derived(()=>$$props.uploadedFile?.preview||(get$3(isImage2)&&$$props.attachment&&"base64Url"in $$props.attachment?$$props.attachment.base64Url:$$props.preview)),displayTextContent=user_derived(()=>$$props. -uploadedFile?.textContent||($$props.attachment&&"content"in $$props.attachment?$$props.attachment.content:$$props.textContent)),language2=user_derived(()=>getLanguageFromFilename(get$3(displayName))),IconComponent=user_derived(()=>()=>get$3(isImage2)?Image$1:get$3(isText)||get$3(isPdf)?File_text:get$3(isAudio)?Music:File$1),pdfViewMode=state$1("pages"),pdfImages=state$1(proxy([])),pdfImagesLoading=state$1(!1),pdfImagesError=state$1(null);async function loadPdfImages(){if(!(!get$3(isPdf)||get$3(pdfImages). -length>0||get$3(pdfImagesLoading))){set$1(pdfImagesLoading,!0),set$1(pdfImagesError,null);try{let file=null;if($$props.uploadedFile?.file)file=$$props.uploadedFile.file;else if(get$3(isPdf)&&$$props.attachment){if("images"in $$props.attachment&&$$props.attachment.images&&Array.isArray($$props.attachment.images)&&$$props.attachment.images.length>0){set$1(pdfImages,$$props.attachment.images,!0);return}if("base64Data"in $$props.attachment&&$$props.attachment.base64Data){const base64Data=$$props.attachment. -base64Data,byteCharacters=atob(base64Data),byteNumbers=new Array(byteCharacters.length);for(let i=0;i{get$3(isPdf)&&get$3(pdfViewMode)==="pages"&&loadPdfImages()});var $$exports={reset:reset$1},div=root$1y(),div_1=child(div),node2=child(div_1);{var consequent_1=$$anchor2=>{var div_2=root_1$V(),node_1=child(div_2);{let $0=user_derived(()=>get$3(pdfViewMode)==="text"?"default":"outline");Button(node_1,{get variant(){ -return get$3($0)},size:"sm",onclick:()=>set$1(pdfViewMode,"text"),get disabled(){return get$3(pdfImagesLoading)},children:($$anchor3,$$slotProps)=>{var fragment=root_2$1a(),node_2=first_child(fragment);File_text(node_2,{class:"mr-1 h-4 w-4"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}})}var node_3=sibling(node_1,2);{let $0=user_derived(()=>get$3(pdfViewMode)==="pages"?"default":"outline");Button(node_3,{get variant(){return get$3($0)},size:"sm",onclick:()=>{set$1(pdfViewMode,"page\ -s"),loadPdfImages()},get disabled(){return get$3(pdfImagesLoading)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_3$V(),node_4=first_child(fragment_1);{var consequent=$$anchor4=>{var div_3=root_4$z();append($$anchor4,div_3)},alternate=$$anchor4=>{Eye($$anchor4,{class:"mr-1 h-4 w-4"})};if_block(node_4,$$render=>{get$3(pdfImagesLoading)?$$render(consequent):$$render(alternate,-1)})}next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_2),append($$anchor2,div_2)};if_block( -node2,$$render=>{get$3(isPdf)&&$$render(consequent_1)})}reset(div_1);var div_4=sibling(div_1,2),node_5=child(div_4);{var consequent_2=$$anchor2=>{var div_5=root_6$x(),img=child(div_5);reset(div_5),template_effect(()=>{set_attribute(img,"src",get$3(displayPreview)),set_attribute(img,"alt",get$3(displayName))}),append($$anchor2,div_5)},consequent_7=$$anchor2=>{var fragment_3=root_7$t(),node_6=first_child(fragment_3);{var consequent_3=$$anchor3=>{var fragment_4=comment$2(),node_7=first_child(fragment_4); -component(node_7,()=>Alert,($$anchor4,Alert_Root)=>{Alert_Root($$anchor4,{class:"mb-4",children:($$anchor5,$$slotProps)=>{var fragment_5=root_9$m(),node_8=first_child(fragment_5);Info$1(node_8,{class:"h-4 w-4"});var node_9=sibling(node_8,2);component(node_9,()=>Alert_title,($$anchor6,Alert_Title)=>{Alert_Title($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text2=text$8("Preview only");append($$anchor7,text2)},$$slots:{default:!0}})});var node_10=sibling(node_9,2);component(node_10,()=>Alert_description, -($$anchor6,Alert_Description)=>{Alert_Description($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span=root_11$g(),span_1=sibling(child(span));next$1(),reset(span),delegated("click",span_1,()=>set$1(pdfViewMode,"text")),append($$anchor7,span)},$$slots:{default:!0}})}),append($$anchor5,fragment_5)},$$slots:{default:!0}})}),append($$anchor3,fragment_4)};if_block(node_6,$$render=>{!get$3(hasVisionModality)&&$$props.activeModelId&&$$render(consequent_3)})}var node_11=sibling(node_6,2);{var consequent_4=$$anchor3=>{ -var div_6=root_12$d();append($$anchor3,div_6)},consequent_5=$$anchor3=>{var div_7=root_13$c(),div_8=child(div_7),node_12=child(div_8);File_text(node_12,{class:"mx-auto mb-4 h-16 w-16 text-muted-foreground"});var p2=sibling(node_12,4),text_1=child(p2,!0);reset(p2);var node_13=sibling(p2,2);Button(node_13,{class:"mt-4",onclick:()=>set$1(pdfViewMode,"text"),children:($$anchor4,$$slotProps)=>{next$1();var text_2=text$8("View as Text");append($$anchor4,text_2)},$$slots:{default:!0}}),reset(div_8),reset( -div_7),template_effect(()=>set_text(text_1,get$3(pdfImagesError))),append($$anchor3,div_7)},consequent_6=$$anchor3=>{var div_9=root_15$c();each(div_9,22,()=>get$3(pdfImages),image2=>image2,($$anchor4,image2,index2)=>{var div_10=root_16$5(),p_1=child(div_10),text_3=child(p_1);reset(p_1);var img_1=sibling(p_1,2);reset(div_10),template_effect(()=>{set_text(text_3,`Page ${get$3(index2)+1}`),set_attribute(img_1,"src",image2),set_attribute(img_1,"alt",`PDF Page ${get$3(index2)+1}`)}),append($$anchor4, -div_10)}),reset(div_9),append($$anchor3,div_9)},alternate_1=$$anchor3=>{var div_11=root_17$a(),div_12=child(div_11),node_14=child(div_12);File_text(node_14,{class:"mx-auto mb-4 h-16 w-16 text-muted-foreground"}),next$1(2),reset(div_12),reset(div_11),append($$anchor3,div_11)};if_block(node_11,$$render=>{get$3(pdfImagesLoading)?$$render(consequent_4):get$3(pdfImagesError)?$$render(consequent_5,1):get$3(pdfImages).length>0?$$render(consequent_6,2):$$render(alternate_1,-1)})}append($$anchor2,fragment_3)}, -consequent_8=$$anchor2=>{SyntaxHighlightedCode($$anchor2,{get code(){return get$3(displayTextContent)},get language(){return get$3(language2)},maxWidth:"calc(69rem - 2rem)"})},consequent_11=$$anchor2=>{var div_13=root_19$a(),div_14=child(div_13),node_15=child(div_14);Music(node_15,{class:"mx-auto mb-4 h-16 w-16 text-muted-foreground"});var node_16=sibling(node_15,2);{var consequent_9=$$anchor3=>{var audio=root_20$6();template_effect(()=>set_attribute(audio,"src",$$props.uploadedFile.preview)),append( -$$anchor3,audio)},consequent_10=$$anchor3=>{var audio_1=root_21$7();template_effect($0=>set_attribute(audio_1,"src",$0),[()=>createBase64DataUrl($$props.attachment.mimeType,$$props.attachment.base64Data)]),append($$anchor3,audio_1)},alternate_2=$$anchor3=>{var p_2=root_22$2();append($$anchor3,p_2)};if_block(node_16,$$render=>{$$props.uploadedFile?.preview?$$render(consequent_9):get$3(isAudio)&&$$props.attachment&&"mimeType"in $$props.attachment&&"base64Data"in $$props.attachment?$$render(consequent_10, -1):$$render(alternate_2,-1)})}var p_3=sibling(node_16,2),text_4=child(p_3,!0);reset(p_3),reset(div_14),reset(div_13),template_effect(()=>set_text(text_4,get$3(displayName))),append($$anchor2,div_13)},alternate_3=$$anchor2=>{var div_15=root_23$3(),div_16=child(div_15),node_17=child(div_16);{var consequent_12=$$anchor3=>{var fragment_7=comment$2(),node_18=first_child(fragment_7);component(node_18,()=>get$3(IconComponent),($$anchor4,IconComponent_1)=>{IconComponent_1($$anchor4,{class:"mx-auto mb-4 \ -h-16 w-16 text-muted-foreground"})}),append($$anchor3,fragment_7)};if_block(node_17,$$render=>{get$3(IconComponent)&&$$render(consequent_12)})}next$1(2),reset(div_16),reset(div_15),append($$anchor2,div_15)};if_block(node_5,$$render=>{get$3(isImage2)&&get$3(displayPreview)?$$render(consequent_2):get$3(isPdf)&&get$3(pdfViewMode)==="pages"?$$render(consequent_7,1):(get$3(isText)||get$3(isPdf)&&get$3(pdfViewMode)==="text")&&get$3(displayTextContent)?$$render(consequent_8,2):get$3(isAudio)?$$render(consequent_11, -3):$$render(alternate_3,-1)})}return reset(div_4),reset(div),append($$anchor,div),pop($$exports)}delegate(["click"]);var root_1$U=from_html("
        ");function ChatAttachmentMcpResources($$anchor,$$props){push$1($$props,!0);const attachments=user_derived(mcpResourceAttachments),hasAttachments=user_derived(mcpHasResourceAttachments);function handleRemove(attachmentId){mcpStore.removeResourceAttachment(attachmentId)}function handleResourceClick(uri2){$$props.onResourceClick?.(uri2)}var fragment=comment$2(), -node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$U(),node_1=child(div);HorizontalScrollCarousel(node_1,{gapSize:"2",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,19,()=>get$3(attachments),attachment=>attachment.id,($$anchor4,attachment,i)=>{{let $0=user_derived(()=>get$3(i)===0?"ml-3":"");ChatAttachmentMcpResource($$anchor4,{get class(){return get$3($0)},get attachment(){return get$3(attachment)},onRemove:handleRemove, -onClick:()=>handleResourceClick(get$3(attachment).resource.uri)})}}),append($$anchor3,fragment_1)},$$slots:{default:!0}}),reset(div),template_effect(()=>set_class(div,1,clsx($$props.class))),append($$anchor2,div)};if_block(node2,$$render=>{get$3(hasAttachments)&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_3$U=from_html(' '),root_5$z=from_html('
        '),root_4$y=from_html('
        '),root_2$19=from_html(''),root_8$q=from_html('<\ -div class="pointer-events-none absolute right-0 bottom-0 left-0 h-4 bg-gradient-to-t from-muted to-transparent">
        '),root_7$s=from_html('
        '),root_6$w=from_html(''),root_10$g=from_html(' '),root_11$f=from_html(' '),root_12$c=from_html('
        '),root_9$l=from_html('');function ChatAttachmentThumbnailFile($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),readonly2=prop($$props,"readonly",3,!1),isText=user_derived(()=>isTextFile($$props.attachment,$$props.uploadedFile)),fileTypeLabel=user_derived(()=>{if($$props.uploadedFile?.type)return getFileTypeLabel($$props.uploadedFile.type);if($$props.attachment){if("mimeType"in $$props.attachment&& -$$props.attachment.mimeType)return getFileTypeLabel($$props.attachment.mimeType);if($$props.attachment.type)return getFileTypeLabel($$props.attachment.type)}return getFileTypeLabel($$props.name)}),pdfProcessingMode=user_derived(()=>$$props.attachment?.type===AttachmentType.PDF?$$props.attachment.processedAsImages?"Sent as Image":"Sent as Text":null);var fragment=comment$2(),node2=first_child(fragment);{var consequent_6=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent_3=$$anchor3=>{ -var button=root_2$19(),div=child(button),div_1=child(div),span=child(div_1),text2=child(span,!0);reset(span);var node_2=sibling(span,2);{var consequent=$$anchor4=>{var span_1=root_3$U(),text_1=child(span_1,!0);reset(span_1),template_effect($0=>set_text(text_1,$0),[()=>formatFileSize($$props.size)]),append($$anchor4,span_1)};if_block(node_2,$$render=>{$$props.size&&$$render(consequent)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor4=>{var div_2=root_4$y(),div_3=child(div_2),text_2=child( -div_3,!0);reset(div_3);var node_4=sibling(div_3,2);{var consequent_1=$$anchor5=>{var div_4=root_5$z();append($$anchor5,div_4)};if_block(node_4,$$render=>{$$props.textContent.length>150&&$$render(consequent_1)})}reset(div_2),template_effect($0=>set_text(text_2,$0),[()=>getPreviewText($$props.textContent)]),append($$anchor4,div_2)};if_block(node_3,$$render=>{$$props.textContent&&$$render(consequent_2)})}reset(div_1),reset(div),reset(button),template_effect(()=>{set_class(button,1,`cursor-pointer r\ -ounded-lg border border-border bg-muted p-3 transition-shadow hover:shadow-md ${className()??""} w-full max-w-2xl`),set_attribute(button,"aria-label",`Preview ${$$props.name}`),set_text(text2,$$props.name)}),delegated("click",button,function(...$$args){$$props.onClick?.apply(this,$$args)}),append($$anchor3,button)},alternate=$$anchor3=>{var button_1=root_6$w(),div_5=child(button_1),node_5=child(div_5);ActionIconRemove(node_5,{get id(){return $$props.id},get onRemove(){return $$props.onRemove}}), -reset(div_5);var div_6=sibling(div_5,2),span_2=child(div_6),text_3=child(span_2,!0);reset(span_2);var node_6=sibling(span_2,2);{var consequent_5=$$anchor4=>{var div_7=root_7$s(),div_8=child(div_7),text_4=child(div_8,!0);reset(div_8);var node_7=sibling(div_8,2);{var consequent_4=$$anchor5=>{var div_9=root_8$q();append($$anchor5,div_9)};if_block(node_7,$$render=>{$$props.textContent.length>150&&$$render(consequent_4)})}reset(div_7),template_effect($0=>set_text(text_4,$0),[()=>getPreviewText($$props. -textContent)]),append($$anchor4,div_7)};if_block(node_6,$$render=>{$$props.textContent&&$$render(consequent_5)})}reset(div_6),reset(button_1),template_effect(()=>{set_class(button_1,1,`group relative rounded-lg border border-border bg-muted p-3 ${className()??""} ${$$props.textContent?"max-h-24 max-w-72":"max-w-36"} cursor-pointer text-left`),set_text(text_3,$$props.name)}),delegated("click",button_1,function(...$$args){$$props.onClick?.apply(this,$$args)}),append($$anchor3,button_1)};if_block(node_1, -$$render=>{readonly2()?$$render(consequent_3):$$render(alternate,-1)})}append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{var button_2=root_9$l(),div_10=child(button_2),text_5=child(div_10,!0);reset(div_10);var div_11=sibling(div_10,2),span_3=child(div_11),text_6=child(span_3,!0);reset(span_3);var node_8=sibling(span_3,2);{var consequent_7=$$anchor3=>{var span_4=root_10$g(),text_7=child(span_4,!0);reset(span_4),template_effect(()=>set_text(text_7,get$3(pdfProcessingMode))),append($$anchor3,span_4)}, -consequent_8=$$anchor3=>{var span_5=root_11$f(),text_8=child(span_5,!0);reset(span_5),template_effect($0=>set_text(text_8,$0),[()=>formatFileSize($$props.size)]),append($$anchor3,span_5)};if_block(node_8,$$render=>{get$3(pdfProcessingMode)?$$render(consequent_7):$$props.size&&$$render(consequent_8,1)})}reset(div_11);var node_9=sibling(div_11,2);{var consequent_9=$$anchor3=>{var div_12=root_12$c(),node_10=child(div_12);ActionIconRemove(node_10,{get id(){return $$props.id},get onRemove(){return $$props. -onRemove}}),reset(div_12),append($$anchor3,div_12)};if_block(node_9,$$render=>{readonly2()||$$render(consequent_9)})}reset(button_2),template_effect(()=>{set_class(button_2,1,`group flex items-center gap-3 rounded-lg border border-border bg-muted p-3 ${className()??""} relative`),set_text(text_5,get$3(fileTypeLabel)),set_class(span_3,1,`max-w-24 truncate text-sm font-medium text-foreground ${readonly2()?"":"group-hover:pr-6"} md:max-w-32`),set_text(text_6,$$props.name)}),delegated("click",button_2, -function(...$$args){$$props.onClick?.apply(this,$$args)}),append($$anchor2,button_2)};if_block(node2,$$render=>{get$3(isText)?$$render(consequent_6):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}delegate(["click"]);var root_1$T=from_html(''),root_2$18=from_html(""),root_3$T=from_html('
        '),root$1x=from_html("
        ");function ChatAttachmentThumbnailImage($$anchor,$$props){let readonly2=prop($$props,"readonly",3,!1),className=prop($$props,"class",3,""),width=prop($$props,"width",3,"w-auto"),height=prop($$props,"height",3,"h-16"),imageClass=prop($$props,"imageClass",3,"");var div=root$1x(),node2=child(div);{var consequent=$$anchor2=>{var button=root_1$T(),img=child(button);reset(button), -template_effect(()=>{set_attribute(button,"aria-label",`Preview ${$$props.name??""}`),set_attribute(img,"src",$$props.preview),set_attribute(img,"alt",$$props.name),set_class(img,1,`${height()??""} ${width()??""} cursor-pointer object-cover ${imageClass()??""}`)}),delegated("click",button,function(...$$args){$$props.onClick?.apply(this,$$args)}),append($$anchor2,button)},alternate=$$anchor2=>{var img_1=root_2$18();template_effect(()=>{set_attribute(img_1,"src",$$props.preview),set_attribute(img_1, -"alt",$$props.name),set_class(img_1,1,`${height()??""} ${width()??""} cursor-pointer object-cover ${imageClass()??""}`)}),append($$anchor2,img_1)};if_block(node2,$$render=>{$$props.onClick?$$render(consequent):$$render(alternate,-1)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{var div_1=root_3$T(),node_2=child(div_1);ActionIconRemove(node_2,{get id(){return $$props.id},get onRemove(){return $$props.onRemove},class:"text-white"}),reset(div_1),append($$anchor2,div_1)};if_block(node_1, -$$render=>{readonly2()||$$render(consequent_1)})}reset(div),template_effect(()=>set_class(div,1,`group relative overflow-hidden rounded-lg bg-muted shadow-lg dark:border dark:border-muted ${className()??""}`)),append($$anchor,div)}delegate(["click"]);var root_1$S=from_html('

        '),root_3$S=from_html('

        '),root$1w=from_html('
        ',1);function ChatAttachmentsViewAll($$anchor,$$props){push$1($$props,!0);let uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),attachments=prop($$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),imageClass=prop( -$$props,"imageClass",3,""),previewDialogOpen=state$1(!1),previewItem=state$1(null),displayItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(),attachments:attachments()})),imageItems=user_derived(()=>get$3(displayItems).filter(item=>item.isImage)),fileItems=user_derived(()=>get$3(displayItems).filter(item=>!item.isImage));function openPreview(item,event2){event2&&(event2.preventDefault(),event2.stopPropagation()),set$1(previewItem,{uploadedFile:item.uploadedFile,attachment:item. -attachment,preview:item.preview,name:item.name,size:item.size,textContent:item.textContent},!0),set$1(previewDialogOpen,!0)}var fragment=root$1w(),div=first_child(fragment),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var div_2=root_1$S(),h3=child(div_2),text2=child(h3);reset(h3);var div_3=sibling(h3,2);each(div_3,21,()=>get$3(fileItems),item=>item.id,($$anchor3,item)=>{ChatAttachmentThumbnailFile($$anchor3,{class:"cursor-pointer",get id(){return get$3(item).id},get name(){return get$3( -item).name},get size(){return get$3(item).size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return get$3(item).textContent},get attachment(){return get$3(item).attachment},get uploadedFile(){return get$3(item).uploadedFile},onClick:event2=>openPreview(get$3(item),event2)})}),reset(div_3),reset(div_2),template_effect(()=>set_text(text2,`Files (${get$3(fileItems).length??""})`)),append($$anchor2,div_2)};if_block(node2,$$render=>{get$3(fileItems). -length>0&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_2=$$anchor2=>{var div_4=root_3$S(),h3_1=child(div_4),text_1=child(h3_1);reset(h3_1);var div_5=sibling(h3_1,2);each(div_5,21,()=>get$3(imageItems),item=>item.id,($$anchor3,item)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent_1=$$anchor4=>{ChatAttachmentThumbnailImage($$anchor4,{class:"cursor-pointer",get id(){return get$3(item).id},get name(){return get$3(item).name},get preview(){return get$3( -item).preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onClick:event2=>openPreview(get$3(item),event2)})};if_block(node_2,$$render=>{get$3(item).preview&&$$render(consequent_1)})}append($$anchor3,fragment_2)}),reset(div_5),reset(div_4),template_effect(()=>set_text(text_1,`Images (${get$3(imageItems).length??""})`)),append($$anchor2,div_4)};if_block(node_1, -$$render=>{get$3(imageItems).length>0&&$$render(consequent_2)})}reset(div_1),reset(div);var node_3=sibling(div,2);{var consequent_3=$$anchor2=>{DialogChatAttachmentPreview($$anchor2,{get uploadedFile(){return get$3(previewItem).uploadedFile},get attachment(){return get$3(previewItem).attachment},get preview(){return get$3(previewItem).preview},get name(){return get$3(previewItem).name},get size(){return get$3(previewItem).size},get textContent(){return get$3(previewItem).textContent},get activeModelId(){ -return $$props.activeModelId},get open(){return get$3(previewDialogOpen)},set open($$value){set$1(previewDialogOpen,$$value,!0)}})};if_block(node_3,$$render=>{get$3(previewItem)&&$$render(consequent_3)})}append($$anchor,fragment),pop()}function Dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-l\ -g leading-none font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,DialogPrimitive_Title)=>{DialogPrimitive_Title($$anchor2,spread_props({"data-slot":"dialog-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root$1v=from_html("
        ");function Dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$\ -slots","$$events","$$legacy","ref","class","children"]);var div=root$1v();attribute_effect(div,$0=>({"data-slot":"dialog-footer",class:$0,...restProps}),[()=>cn$1("flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1u=from_html("
        ");function Dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop( -$$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1u();attribute_effect(div,$0=>({"data-slot":"dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop( -$$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,DialogPrimitive_Overlay)=>{DialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"dialog-over\ -lay",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_4$x=from_html(' Close',1),root_2$17=from_html(" ",1),root_1$R=from_html(" ",1);function Dialog_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),showCloseButton=prop($$props,"showCloseButton",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","cla\ -ss","portalProps","children","showCloseButton"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$1,($$anchor2,Dialog_Portal)=>{Dialog_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$R(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_overlay,($$anchor4,Dialog_Overlay)=>{Dialog_Overlay($$anchor4,{})});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed top-[50%] left-[50%] z-50\ - grid max-h-[100dvh] w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 overflow-y-auto rounded-lg border border-border/30 bg-background p-6 shadow-lg duration-200 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 sm:max-w-lg md:max-h-[100vh]",$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,DialogPrimitive_Content)=>{DialogPrimitive_Content( -$$anchor4,spread_props({"data-slot":"dialog-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$17(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3);var node_4=sibling(node_3,2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);component(node_5,()=>Dialog_close,($$anchor7,DialogPrimitive_Close)=>{DialogPrimitive_Close( -$$anchor7,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:ring-2 focus:ring-ring focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",children:($$anchor8,$$slotProps3)=>{var fragment_4=root_4$x(),node_6=first_child(fragment_4);X(node_6,{}),next$1(2),append($$anchor8,fragment_4)},$$slots:{default:!0}})}),append($$anchor6,fragment_3)}; -if_block(node_4,$$render=>{showCloseButton()&&$$render(consequent)})}append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Dialog_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-fore\ -ground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,DialogPrimitive_Description)=>{DialogPrimitive_Description($$anchor2,spread_props({"data-slot":"dialog-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$4=Dialog,Portal$1=Portal$2;class ConversationsStore{#conversations=state$1(proxy([]));get conversations(){return get$3(this.#conversations)}set conversations(value){ -set$1(this.#conversations,value,!0)}#activeConversation=state$1(null);get activeConversation(){return get$3(this.#activeConversation)}set activeConversation(value){set$1(this.#activeConversation,value,!0)}#activeMessages=state$1(proxy([]));get activeMessages(){return get$3(this.#activeMessages)}set activeMessages(value){set$1(this.#activeMessages,value,!0)}#isInitialized=state$1(!1);get isInitialized(){return get$3(this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#pendingMcpServerOverrides=state$1( -proxy(ConversationsStore.loadMcpDefaults()));get pendingMcpServerOverrides(){return get$3(this.#pendingMcpServerOverrides)}set pendingMcpServerOverrides(value){set$1(this.#pendingMcpServerOverrides,value,!0)}static loadMcpDefaults(){if(typeof globalThis.localStorage>"u")return[];try{const raw2=localStorage.getItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY);if(!raw2)return[];const parsed=JSON.parse(raw2);return Array.isArray(parsed)?parsed.filter(o=>typeof o=="object"&&o!==null&&"serverId"in o&&"enabl\ -ed"in o):[]}catch{return[]}}saveMcpDefaults(){if(typeof globalThis.localStorage>"u")return;const plain=this.pendingMcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.enabled}));plain.length>0?localStorage.setItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY,JSON.stringify(plain)):localStorage.removeItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY)}titleUpdateConfirmationCallback;messageUpdateCallback=null;async init(){if(!this.isInitialized)try{await runLegacyMigration(),await this.loadConversations(),this. -isInitialized=!0}catch(error2){console.error("Failed to initialize conversations:",error2)}}async initialize(){return this.init()}registerMessageUpdateCallback(callback){this.messageUpdateCallback=callback}addMessageToActive(message){this.activeMessages.push(message)}updateMessageAtIndex(index2,updates){index2!==-1&&this.activeMessages[index2]&&(this.activeMessages[index2]={...this.activeMessages[index2],...updates})}findMessageIndex(messageId){return this.activeMessages.findIndex(m=>m.id===messageId)}sliceActiveMessages(startIndex){ -this.activeMessages=this.activeMessages.slice(0,startIndex)}removeMessageAtIndex(index2){if(index2!==-1)return this.activeMessages.splice(index2,1)[0]}setTitleUpdateConfirmationCallback(callback){this.titleUpdateConfirmationCallback=callback}async loadConversations(){const conversations2=await DatabaseService.getAllConversations();this.conversations=conversations2}async createConversation(name){const conversationName=name||`Chat ${new Date().toLocaleString()}`,conversation=await DatabaseService. -createConversation(conversationName);if(this.pendingMcpServerOverrides.length>0){const plainOverrides=this.pendingMcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.enabled}));conversation.mcpServerOverrides=plainOverrides,await DatabaseService.updateConversation(conversation.id,{mcpServerOverrides:plainOverrides}),this.pendingMcpServerOverrides=[]}return this.conversations=[conversation,...this.conversations],this.activeConversation=conversation,this.activeMessages=[],await goto(`#/chat/${conversation. -id}`),conversation.id}async loadConversation(convId){try{const conversation=await DatabaseService.getConversation(convId);if(!conversation)return!1;if(this.pendingMcpServerOverrides=[],this.activeConversation=conversation,conversation.currNode){const allMessages=await DatabaseService.getConversationMessages(convId),filteredMessages=filterByLeafNodeId(allMessages,conversation.currNode,!1);this.activeMessages=filteredMessages}else{const messages=await DatabaseService.getConversationMessages(convId); -this.activeMessages=messages}return!0}catch(error2){return console.error("Failed to load conversation:",error2),!1}}clearActiveConversation(){this.activeConversation=null,this.activeMessages=[],this.pendingMcpServerOverrides=ConversationsStore.loadMcpDefaults()}async deleteConversation(convId,options){try{if(await DatabaseService.deleteConversation(convId,options),options?.deleteWithForks){const idsToRemove=new SvelteSet([convId]),queue=[convId];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of this. -conversations)c2.forkedFromConversationId===parentId&&!idsToRemove.has(c2.id)&&(idsToRemove.add(c2.id),queue.push(c2.id))}this.conversations=this.conversations.filter(c2=>!idsToRemove.has(c2.id)),this.activeConversation&&idsToRemove.has(this.activeConversation.id)&&(this.clearActiveConversation(),await goto("?new_chat=true#/"))}else{const newParent=this.conversations.find(c2=>c2.id===convId)?.forkedFromConversationId;this.conversations=this.conversations.filter(c2=>c2.id!==convId).map(c2=>c2.forkedFromConversationId=== -convId?{...c2,forkedFromConversationId:newParent}:c2),this.activeConversation?.id===convId&&(this.clearActiveConversation(),await goto("?new_chat=true#/"))}}catch(error2){console.error("Failed to delete conversation:",error2)}}async deleteAll(){try{const allConversations=await DatabaseService.getAllConversations();for(const conv of allConversations)await DatabaseService.deleteConversation(conv.id);this.clearActiveConversation(),this.conversations=[],toast.success("All conversations deleted"),await goto( -"?new_chat=true#/")}catch(error2){console.error("Failed to delete all conversations:",error2),toast.error("Failed to delete conversations")}}async refreshActiveMessages(){if(!this.activeConversation)return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id);if(allMessages.length===0){this.activeMessages=[];return}const leafNodeId=this.activeConversation.currNode||allMessages.reduce((latest,msg)=>msg.timestamp>latest.timestamp?msg:latest).id,currentPath=filterByLeafNodeId( -allMessages,leafNodeId,!1);this.activeMessages=currentPath}async getConversationMessages(convId){return await DatabaseService.getConversationMessages(convId)}async updateConversationName(convId,name){try{await DatabaseService.updateConversation(convId,{name});const convIndex=this.conversations.findIndex(c2=>c2.id===convId);convIndex!==-1&&(this.conversations[convIndex].name=name,this.conversations=[...this.conversations]),this.activeConversation?.id===convId&&(this.activeConversation={...this.activeConversation, -name})}catch(error2){console.error("Failed to update conversation name:",error2)}}async updateConversationTitleWithConfirmation(convId,newTitle){try{if(config$1().askForTitleConfirmation&&this.titleUpdateConfirmationCallback){const conversation=await DatabaseService.getConversation(convId);if(!conversation||!await this.titleUpdateConfirmationCallback(conversation.name,newTitle))return!1}return await this.updateConversationName(convId,newTitle),!0}catch(error2){return console.error("Failed to upd\ -ate conversation title with confirmation:",error2),!1}}updateConversationTimestamp(){if(!this.activeConversation)return;const chatIndex=this.conversations.findIndex(c2=>c2.id===this.activeConversation.id);if(chatIndex!==-1){this.conversations[chatIndex].lastModified=Date.now();const updatedConv=this.conversations.splice(chatIndex,1)[0];this.conversations=[updatedConv,...this.conversations]}}async updateCurrentNode(nodeId){this.activeConversation&&(await DatabaseService.updateCurrentNode(this.activeConversation. -id,nodeId),this.activeConversation={...this.activeConversation,currNode:nodeId})}async navigateToSibling(siblingId){if(!this.activeConversation)return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),currentFirstUserMessage=this.activeMessages.find(m=>m.role===MessageRole.USER&&m.parent===rootMessage?.id),currentLeafNodeId=findLeafNode(allMessages,siblingId);if(await DatabaseService.updateCurrentNode( -this.activeConversation.id,currentLeafNodeId),this.activeConversation={...this.activeConversation,currNode:currentLeafNodeId},await this.refreshActiveMessages(),rootMessage&&this.activeMessages.length>0){const newFirstUserMessage=this.activeMessages.find(m=>m.role===MessageRole.USER&&m.parent===rootMessage.id);newFirstUserMessage&&newFirstUserMessage.content.trim()&&(!currentFirstUserMessage||newFirstUserMessage.id!==currentFirstUserMessage.id||newFirstUserMessage.content.trim()!==currentFirstUserMessage. -content.trim())&&await this.updateConversationTitleWithConfirmation(this.activeConversation.id,generateConversationTitle(newFirstUserMessage.content,!!config$1().titleGenerationUseFirstLine))}}getMcpServerOverride(serverId){return this.activeConversation?this.activeConversation.mcpServerOverrides?.find(o=>o.serverId===serverId):this.pendingMcpServerOverrides.find(o=>o.serverId===serverId)}getAllMcpServerOverrides(){return this.activeConversation?.mcpServerOverrides?this.activeConversation.mcpServerOverrides: -this.pendingMcpServerOverrides}isMcpServerEnabledForChat(serverId){return this.getMcpServerOverride(serverId)?.enabled??!1}async setMcpServerOverride(serverId,enabled){if(!this.activeConversation){this.setPendingMcpServerOverride(serverId,enabled);return}const currentOverrides=(this.activeConversation.mcpServerOverrides||[]).map(o=>({serverId:o.serverId,enabled:o.enabled}));let newOverrides;if(enabled===void 0)newOverrides=currentOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=currentOverrides. -findIndex(o=>o.serverId===serverId);existingIndex>=0?(newOverrides=[...currentOverrides],newOverrides[existingIndex]={serverId,enabled}):newOverrides=[...currentOverrides,{serverId,enabled}]}await DatabaseService.updateConversation(this.activeConversation.id,{mcpServerOverrides:newOverrides.length>0?newOverrides:void 0}),this.activeConversation={...this.activeConversation,mcpServerOverrides:newOverrides.length>0?newOverrides:void 0};const convIndex=this.conversations.findIndex(c2=>c2.id===this.activeConversation. -id);convIndex!==-1&&(this.conversations[convIndex].mcpServerOverrides=newOverrides.length>0?newOverrides:void 0,this.conversations=[...this.conversations])}setPendingMcpServerOverride(serverId,enabled){if(enabled===void 0)this.pendingMcpServerOverrides=this.pendingMcpServerOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=this.pendingMcpServerOverrides.findIndex(o=>o.serverId===serverId);if(existingIndex>=0){const newOverrides=[...this.pendingMcpServerOverrides];newOverrides[existingIndex]= -{serverId,enabled},this.pendingMcpServerOverrides=newOverrides}else this.pendingMcpServerOverrides=[...this.pendingMcpServerOverrides,{serverId,enabled}]}this.saveMcpDefaults()}async toggleMcpServerForChat(serverId){const currentEnabled=this.isMcpServerEnabledForChat(serverId);await this.setMcpServerOverride(serverId,!currentEnabled)}async removeMcpServerOverride(serverId){await this.setMcpServerOverride(serverId,void 0)}clearPendingMcpServerOverrides(){this.pendingMcpServerOverrides=[],this.saveMcpDefaults()}async forkConversation(messageId,options){ -if(!this.activeConversation)return null;try{const newConv=await DatabaseService.forkConversation(this.activeConversation.id,messageId,options);return this.conversations=[newConv,...this.conversations],await goto(`#/chat/${newConv.id}`),toast.success("Conversation forked"),newConv.id}catch(error2){return console.error("Failed to fork conversation:",error2),toast.error("Failed to fork conversation"),null}}generateConversationFilename(conversation,msgs){const sanitizedName=(conversation.name??"").trim(). -toLowerCase().replace(NON_ALPHANUMERIC_REGEX,EXPORT_CONV_NONALNUM_REPLACEMENT).replace(MULTIPLE_UNDERSCORE_REGEX,"_").substring(0,EXPORT_CONV_NAME_SUFFIX_MAX_LENGTH),formattedDate=(msgs?.length?new Date(Math.max(...msgs.map(m=>m.timestamp))):new Date).toISOString().slice(0,ISO_TIMESTAMP_SLICE_LENGTH).replace(ISO_DATE_TIME_SEPARATOR,ISO_DATE_TIME_SEPARATOR_REPLACEMENT).replaceAll(ISO_TIME_SEPARATOR,ISO_TIME_SEPARATOR_REPLACEMENT),trimmedConvId=conversation.id?.slice(0,EXPORT_CONV_ID_TRIM_LENGTH)?? -"";return`${formattedDate}_conv_${trimmedConvId}_${sanitizedName}.json`}downloadConversationFile(data,filename){const conversation="conv"in data?data.conv:Array.isArray(data)?data[0]?.conv:void 0,msgs="messages"in data?data.messages:Array.isArray(data)?data[0]?.messages:void 0;if(!conversation){console.error("Invalid data: missing conversation");return}let downloadFilename;filename?downloadFilename=filename:Array.isArray(data)&&data.length>1?downloadFilename=`${new Date().toISOString().split(ISO_DATE_TIME_SEPARATOR)[0]}\ -_conversations.json`:downloadFilename=this.generateConversationFilename(conversation,msgs);const blob=new Blob([JSON.stringify(data,null,2)],{type:"application/json"}),url2=URL.createObjectURL(blob),a=document.createElement("a");a.href=url2,a.download=downloadFilename,document.body.appendChild(a),a.click(),document.body.removeChild(a),URL.revokeObjectURL(url2)}async downloadConversation(convId){let conversation,messages;if(this.activeConversation?.id===convId)conversation=this.activeConversation, -messages=this.activeMessages;else{if(conversation=await DatabaseService.getConversation(convId),!conversation)return;messages=await DatabaseService.getConversationMessages(convId)}this.downloadConversationFile({conv:conversation,messages})}async importConversations(){return new Promise((resolve2,reject)=>{const input=document.createElement("input");input.type=HtmlInputType.FILE,input.accept=FileExtensionText.JSON,input.onchange=async e=>{const file=e.target?.files?.[0];if(!file){reject(new Error( -"No file selected"));return}try{const text2=await file.text(),parsedData=JSON.parse(text2);let importedData;if(Array.isArray(parsedData))importedData=parsedData;else if(parsedData&&typeof parsedData=="object"&&"conv"in parsedData&&"messages"in parsedData)importedData=[parsedData];else throw new Error("Invalid file format");const result=await DatabaseService.importConversations(importedData);toast.success(`Imported ${result.imported} conversation(s), skipped ${result.skipped}`),await this.loadConversations(); -const importedConversations=(Array.isArray(importedData)?importedData:[importedData]).map(item=>item.conv);resolve2(importedConversations)}catch(err){const message=err instanceof Error?err.message:"Unknown error";console.error("Failed to import conversations:",err),toast.error("Import failed",{description:message}),reject(new Error(`Import failed: ${message}`))}},input.click()})}async importConversationsData(data){const result=await DatabaseService.importConversations(data);return await this.loadConversations(), -result}}const conversationsStore=new ConversationsStore;conversationsStore.init();const conversations=()=>conversationsStore.conversations,activeConversation=()=>conversationsStore.activeConversation,activeMessages=()=>conversationsStore.activeMessages,isConversationsInitialized=()=>conversationsStore.isInitialized;function buildConversationTree(convs){const childrenByParent=new SvelteMap,forkIds=new SvelteSet;for(const conv of convs)if(conv.forkedFromConversationId){forkIds.add(conv.id);const siblings2=childrenByParent. -get(conv.forkedFromConversationId)||[];siblings2.push(conv),childrenByParent.set(conv.forkedFromConversationId,siblings2)}const result=[],visited=new SvelteSet;function walk(conv,depth){visited.add(conv.id),result.push({conversation:conv,depth});const children=childrenByParent.get(conv.id);if(children){children.sort((a,b)=>b.lastModified-a.lastModified);for(const child2 of children)walk(child2,depth+1)}}const roots=convs.filter(c2=>!forkIds.has(c2.id));for(const root2 of roots)walk(root2,0);for(const conv of convs) -visited.has(conv.id)||walk(conv,1);return result}class ToolsService{static async list(){return apiFetch(API_TOOLS.LIST)}static async executeTool(toolName,params,signal){const result=await apiFetch(API_TOOLS.EXECUTE,{method:"POST",body:JSON.stringify({tool:toolName,params}),signal});return ToolResponseField.ERROR in result?{content:String(result[ToolResponseField.ERROR]),isError:!0}:ToolResponseField.PLAIN_TEXT in result?{content:String(result[ToolResponseField.PLAIN_TEXT]),isError:!1}:{content:JSON. -stringify(result),isError:!1}}}class ToolsStore{#_builtinTools=state$1(proxy([]));get _builtinTools(){return get$3(this.#_builtinTools)}set _builtinTools(value){set$1(this.#_builtinTools,value,!0)}#_loading=state$1(!1);get _loading(){return get$3(this.#_loading)}set _loading(value){set$1(this.#_loading,value,!0)}#_error=state$1(null);get _error(){return get$3(this.#_error)}set _error(value){set$1(this.#_error,value,!0)}#_disabledTools=state$1(proxy(new SvelteSet));get _disabledTools(){return get$3( -this.#_disabledTools)}set _disabledTools(value){set$1(this.#_disabledTools,value,!0)}#_toolsEndpointUnreachable=state$1(!1);get _toolsEndpointUnreachable(){return get$3(this.#_toolsEndpointUnreachable)}set _toolsEndpointUnreachable(value){set$1(this.#_toolsEndpointUnreachable,value,!0)}constructor(){try{const stored=localStorage.getItem(DISABLED_TOOLS_LOCALSTORAGE_KEY);if(stored){const parsed=JSON.parse(stored);if(Array.isArray(parsed))for(const name of parsed)typeof name=="string"&&this._disabledTools. -add(name)}}catch(err){console.error("[ToolsStore] Failed to load disabled tools from localStorage:",err)}this.fetchBuiltinTools()}persistDisabledTools(){try{localStorage.setItem(DISABLED_TOOLS_LOCALSTORAGE_KEY,JSON.stringify([...this._disabledTools]))}catch{}}get builtinTools(){return this._builtinTools}get mcpTools(){return mcpStore.getToolDefinitionsForLLM()}get customTools(){const raw2=config$1().custom;if(!raw2||typeof raw2!="string")return[];try{const parsed=JSON.parse(raw2);return Array.isArray( -parsed)?parsed.filter(t=>typeof t=="object"&&t!==null&&"type"in t&&t.type==="function"&&"function"in t&&typeof t.function?.name=="string"):[]}catch{return[]}}get allTools(){const entries=[];for(const def of this._builtinTools)entries.push({source:ToolSource.BUILTIN,definition:def});const connections=mcpStore.getConnections();if(connections.size>0)for(const[serverId,connection]of connections){const serverName=mcpStore.getServerDisplayName(serverId);for(const tool of connection.tools){const rawSchema=tool. -inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};entries.push({source:ToolSource.MCP,serverName,serverId,definition:{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:rawSchema}}})}}else for(const{serverId,serverName,tools}of this.getMcpToolsFromHealthChecks())for(const tool of tools)entries.push({source:ToolSource.MCP,serverName,serverId,definition:{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:{ -type:JsonSchemaType.OBJECT,properties:{},required:[]}}}});for(const def of this.customTools)entries.push({source:ToolSource.CUSTOM,definition:def});return entries}get toolGroups(){const groups=[];this._builtinTools.length>0&&groups.push({source:ToolSource.BUILTIN,label:TOOL_GROUP_LABELS[ToolSource.BUILTIN],tools:this._builtinTools});const connections=mcpStore.getConnections();if(connections.size>0)for(const[serverId,connection]of connections){if(connection.tools.length===0)continue;const label=mcpStore. -getServerDisplayName(serverId),tools=connection.tools.map(tool=>{const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};return{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:rawSchema}}});groups.push({source:ToolSource.MCP,label,serverId,tools})}else for(const{serverId,serverName,tools}of this.getMcpToolsFromHealthChecks()){if(tools.length===0)continue;const defs=tools.map(tool=>({type:ToolCallType.FUNCTION,function:{ -name:tool.name,description:tool.description,parameters:{type:JsonSchemaType.OBJECT,properties:{},required:[]}}}));groups.push({source:ToolSource.MCP,label:serverName,serverId,tools:defs})}const custom2=this.customTools;return custom2.length>0&&groups.push({source:ToolSource.CUSTOM,label:TOOL_GROUP_LABELS[ToolSource.CUSTOM],tools:custom2}),groups}get enabledToolDefinitions(){return this.allTools.filter(t=>!this._disabledTools.has(t.definition.function.name)).map(t=>t.definition)}getEnabledToolsForLLM(){ -const disabled=this._disabledTools,result=[];for(const tool of this._builtinTools)disabled.has(tool.function.name)||result.push(tool);for(const tool of mcpStore.getToolDefinitionsForLLM())disabled.has(tool.function.name)||result.push(tool);for(const tool of this.customTools)disabled.has(tool.function.name)||result.push(tool);return result}get allToolDefinitions(){return this.allTools.map(t=>t.definition)}get loading(){return this._loading}get error(){return this._error}get isToolsEndpointUnreachable(){ -return this._toolsEndpointUnreachable}get disabledTools(){return this._disabledTools}isToolEnabled(toolName){return!this._disabledTools.has(toolName)}toggleTool(toolName){this._disabledTools.has(toolName)?this._disabledTools.delete(toolName):this._disabledTools.add(toolName),this.persistDisabledTools()}setToolEnabled(toolName,enabled){enabled?this._disabledTools.delete(toolName):this._disabledTools.add(toolName)}enableAllToolsForServer(serverId){const connection=mcpStore.getConnections().get(serverId); -if(connection){for(const tool of connection.tools)this._disabledTools.delete(tool.name);this.persistDisabledTools()}}toggleGroup(group){const allEnabled=group.tools.every(t=>this.isToolEnabled(t.function.name));for(const tool of group.tools)this.setToolEnabled(tool.function.name,!allEnabled);this.persistDisabledTools()}isGroupFullyEnabled(group){return group.tools.length>0&&group.tools.every(t=>this.isToolEnabled(t.function.name))}isGroupPartiallyEnabled(group){const enabledCount=group.tools.filter( -t=>this.isToolEnabled(t.function.name)).length;return enabledCount>0&&enabledCounts2.enabled)){const health=mcpStore.getHealthCheckState(server.id);health.status===HealthCheckStatus.SUCCESS&&health.tools.length>0&&result.push({serverId:server.id,serverName:mcpStore.getServerLabel(server),tools:health.tools})}return result}getToolSource(toolName){if(this._builtinTools.some( -t=>t.function.name===toolName))return ToolSource.BUILTIN;for(const entry of this.allTools)if(entry.definition.function.name===toolName)return entry.source;return null}getToolServerLabel(toolName){for(const entry of this.allTools)if(entry.definition.function.name===toolName){if(entry.serverName)return mcpStore.getServerDisplayName(entry.serverName);if(entry.source===ToolSource.BUILTIN)return TOOL_SERVER_LABELS[ToolSource.BUILTIN];if(entry.source===ToolSource.CUSTOM)return TOOL_SERVER_LABELS[ToolSource. -CUSTOM]}return""}getPermissionKey(toolName){for(const entry of this.allTools)if(entry.definition.function.name===toolName)switch(entry.source){case ToolSource.BUILTIN:return`builtin:${toolName}`;case ToolSource.CUSTOM:return`custom:${toolName}`;case ToolSource.MCP:return entry.serverId?`mcp-${entry.serverId}:${toolName}`:`mcp:${toolName}`;default:return null}return null}get hasEnabledTools(){return this.getEnabledToolsForLLM().length>0}async fetchBuiltinTools(){if(!this._loading){this._loading=!0, -this._error=null,this._toolsEndpointUnreachable=!1;try{const toolInfos=await ToolsService.list();this._builtinTools=toolInfos.map(info2=>info2.definition)}catch(err){const errorMessage=err instanceof Error?err.message:String(err);this._error=errorMessage,(errorMessage.includes("404")||errorMessage.toLowerCase().includes("not found"))&&(this._toolsEndpointUnreachable=!0),console.error("[ToolsStore] Failed to fetch built-in tools:",err)}finally{this._loading=!1}}}}const toolsStore=new ToolsStore;var root_1$Q=from_html( -" Add New Server",1),root_2$16=from_html('
        No MCP Servers configured yet. Add one to enable agentic features.
        '),root_3$R=from_html('
        '),root$1t=from_html('
        MCP Servers
        ');function SettingsMcpServers($$anchor,$$props){push$1($$props,!0);let servers=user_derived(()=>mcpStore.getServersSorted()),initialLoadComplete=state$1(!1),isAddingServer=state$1(!1);onMount$1(()=>{if(page$1.url.searchParams.has("add")){set$1(isAddingServer,!0);const newUrl=new URL(page$1.url);newUrl.searchParams. -delete("add"),replaceState(newUrl,{})}}),user_effect(()=>{if(get$3(initialLoadComplete))return;get$3(servers).length>0&&get$3(servers).every(server=>{const state2=mcpStore.getHealthCheckState(server.id);return state2.status===HealthCheckStatus.SUCCESS||state2.status===HealthCheckStatus.ERROR})&&set$1(initialLoadComplete,!0)});var div=root$1t(),div_1=child(div),node2=child(div_1);McpLogo(node2,{class:"h-5 w-5 md:h-6 md:w-6"}),next$1(2),reset(div_1);var div_2=sibling(div_1,2),node_1=child(div_2);Button( -node_1,{variant:"outline",size:"sm",class:"shrink-0",onclick:()=>set$1(isAddingServer,!0),children:($$anchor2,$$slotProps)=>{var fragment=root_1$Q(),node_2=first_child(fragment);Plus(node_2,{class:"h-4 w-4"}),next$1(),append($$anchor2,fragment)},$$slots:{default:!0}}),reset(div_2);var node_3=sibling(div_2,2);DialogMcpServerAddNew(node_3,{get open(){return get$3(isAddingServer)},set open($$value){set$1(isAddingServer,$$value,!0)}});var div_3=sibling(node_3,2),node_4=child(div_3);{var consequent=$$anchor2=>{ -var div_4=root_2$16();append($$anchor2,div_4)};if_block(node_4,$$render=>{get$3(servers).length===0&&!get$3(isAddingServer)&&$$render(consequent)})}var node_5=sibling(node_4,2);{var consequent_2=$$anchor2=>{var div_5=root_3$R();each(div_5,21,()=>get$3(servers),server=>server.id,($$anchor3,server)=>{var fragment_1=comment$2(),node_6=first_child(fragment_1);{var consequent_1=$$anchor4=>{McpServerCardSkeleton($$anchor4)},alternate=$$anchor4=>{{let $0=user_derived(()=>mcpStore.getServerFavicon(get$3( -server).id)),$1=user_derived(()=>conversationsStore.isMcpServerEnabledForChat(get$3(server).id));McpServerCard($$anchor4,{get server(){return get$3(server)},get faviconUrl(){return get$3($0)},get enabled(){return get$3($1)},onToggle:async()=>{const wasEnabled=conversationsStore.isMcpServerEnabledForChat(get$3(server).id);await conversationsStore.toggleMcpServerForChat(get$3(server).id),wasEnabled||toolsStore.enableAllToolsForServer(get$3(server).id)},onUpdate:updates=>mcpStore.updateServer(get$3( -server).id,updates),onDelete:()=>mcpStore.removeServer(get$3(server).id)})}};if_block(node_6,$$render=>{get$3(initialLoadComplete)?$$render(alternate,-1):$$render(consequent_1)})}append($$anchor3,fragment_1)}),reset(div_5),append($$anchor2,div_5)};if_block(node_5,$$render=>{get$3(servers).length>0&&$$render(consequent_2)})}reset(div_3),reset(div),template_effect(()=>set_class(div_3,1,`grid gap-5 md:space-y-4 ${$$props.class??""}`)),transition(1,div,()=>fade,()=>({duration:150})),append($$anchor, -div),pop()}delegate(["click"]);const badgeVariants=tv({base:"focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex w-fit shrink-0 items-center justify-center gap-1 overflow-hidden whitespace-nowrap rounded-md border px-2 py-0.5 text-xs font-medium transition-[color,box-shadow] focus-visible:ring-[3px] [&>svg]:pointer-events-none [&>svg]:size-3",variants:{variant:{default:"bg-primary \ -text-primary-foreground [a&]:hover:bg-primary/90 border-transparent",secondary:"bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90 border-transparent",tertiary:"bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25 border-transparent",destructive:"bg-destructive [a&]:hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/70 border-transparent text-white",outline:"text-foreground [a&]:hover:b\ -g-accent [a&]:hover:text-accent-foreground"}},defaultVariants:{variant:"default"}});function Badge($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","href","class","variant","children"]);var fragment=comment$2(),node2=first_child(fragment);element$4(node2,()=>$$props.href?"a":"span",!1,($$element,$$anchor2)=>{bind_this($$element,$$value=>ref2($$value),()=>ref2()), -attribute_effect($$element,$0=>({"data-slot":"badge",href:$$props.href,class:$0,...restProps}),[()=>cn$1(badgeVariants({variant:variant()}),$$props.class,"backdrop-blur-sm")]);var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}),append($$anchor,fragment),pop()}var root_3$Q=from_html(" Tools",1),root_5$y=from_html(" Resources",1),root_7$r=from_html(" Prompts",1),root_9$k=from_html(" Logging",1),root_11$e=from_html( -" Completions",1),root_13$b=from_html(" Tasks",1),root_1$P=from_html(" ",1);function McpCapabilitiesBadges($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent_6=$$anchor2=>{var fragment_1=root_1$P(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-green-50 px-1.5 text-[10px] dark:bg-green-950",children:($$anchor4,$$slotProps)=>{var fragment_3=root_3$Q(), -node_2=first_child(fragment_3);Wrench(node_2,{class:"h-3 w-3 text-green-600 dark:text-green-400"}),next$1(),append($$anchor4,fragment_3)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.capabilities.server.tools&&$$render(consequent)})}var node_3=sibling(node_1,2);{var consequent_1=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-blue-50 px-1.5 text-[10px] dark:bg-blue-950",children:($$anchor4,$$slotProps)=>{var fragment_5=root_5$y(),node_4=first_child(fragment_5);Database( -node_4,{class:"h-3 w-3 text-blue-600 dark:text-blue-400"}),next$1(),append($$anchor4,fragment_5)},$$slots:{default:!0}})};if_block(node_3,$$render=>{$$props.capabilities.server.resources&&$$render(consequent_1)})}var node_5=sibling(node_3,2);{var consequent_2=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-purple-50 px-1.5 text-[10px] dark:bg-purple-950",children:($$anchor4,$$slotProps)=>{var fragment_7=root_7$r(),node_6=first_child(fragment_7);Message_square(node_6,{class:"h-\ -3 w-3 text-purple-600 dark:text-purple-400"}),next$1(),append($$anchor4,fragment_7)},$$slots:{default:!0}})};if_block(node_5,$$render=>{$$props.capabilities.server.prompts&&$$render(consequent_2)})}var node_7=sibling(node_5,2);{var consequent_3=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-orange-50 px-1.5 text-[10px] dark:bg-orange-950",children:($$anchor4,$$slotProps)=>{var fragment_9=root_9$k(),node_8=first_child(fragment_9);File_text(node_8,{class:"h-3 w-3 text-orange-60\ -0 dark:text-orange-400"}),next$1(),append($$anchor4,fragment_9)},$$slots:{default:!0}})};if_block(node_7,$$render=>{$$props.capabilities.server.logging&&$$render(consequent_3)})}var node_9=sibling(node_7,2);{var consequent_4=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-cyan-50 px-1.5 text-[10px] dark:bg-cyan-950",children:($$anchor4,$$slotProps)=>{var fragment_11=root_11$e(),node_10=first_child(fragment_11);Sparkles(node_10,{class:"h-3 w-3 text-cyan-600 dark:text-cyan-400"}), -next$1(),append($$anchor4,fragment_11)},$$slots:{default:!0}})};if_block(node_9,$$render=>{$$props.capabilities.server.completions&&$$render(consequent_4)})}var node_11=sibling(node_9,2);{var consequent_5=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-pink-50 px-1.5 text-[10px] dark:bg-pink-950",children:($$anchor4,$$slotProps)=>{var fragment_13=root_13$b(),node_12=first_child(fragment_13);List_checks(node_12,{class:"h-3 w-3 text-pink-600 dark:text-pink-400"}),next$1(),append( -$$anchor4,fragment_13)},$$slots:{default:!0}})};if_block(node_11,$$render=>{$$props.capabilities.server.tasks&&$$render(consequent_5)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.capabilities&&$$render(consequent_6)})}append($$anchor,fragment),pop()}function Collapsible($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","open"]);var fragment=comment$2(), -node2=first_child(fragment);component(node2,()=>Collapsible$1,($$anchor2,CollapsiblePrimitive_Root)=>{CollapsiblePrimitive_Root($$anchor2,spread_props({"data-slot":"collapsible"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get open(){return open2()},set open($$value){open2($$value)}}))}),append($$anchor,fragment),pop()}function Collapsible_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$event\ -s","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible_trigger$1,($$anchor2,CollapsiblePrimitive_Trigger)=>{CollapsiblePrimitive_Trigger($$anchor2,spread_props({"data-slot":"collapsible-trigger"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}function Collapsible_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots", -"$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible_content$1,($$anchor2,CollapsiblePrimitive_Content)=>{CollapsiblePrimitive_Content($$anchor2,spread_props({"data-slot":"collapsible-content"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}var root_6$v=from_html(' '),root_3$P=from_html(" ",1),root_9$j=from_html('
        details
        '),root_8$p=from_html('
        ',1),root_7$q=from_html('
        '),root_2$15=from_html( -'
        ',1);function McpConnectionLogs($$anchor,$$props){push$1($$props,!0);let defaultExpanded=prop($$props,"defaultExpanded",3,!1),isExpanded=user_derived(defaultExpanded);function formatLogDetails(details){if(details==null)return"";try{return JSON.stringify(details,null,2)}catch{return String(details)}}var fragment=comment$2(),node2=first_child(fragment);{var consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible, -($$anchor3,Collapsible_Root)=>{Collapsible_Root($$anchor3,{get class(){return $$props.class},get open(){return get$3(isExpanded)},set open($$value){set$1(isExpanded,$$value)},children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$15(),div=first_child(fragment_2),node_2=child(div);component(node_2,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor6,$$slotProps2)=>{ -var fragment_3=root_3$P(),node_3=first_child(fragment_3);{var consequent=$$anchor7=>{Chevron_down($$anchor7,{class:"h-3.5 w-3.5"})},alternate=$$anchor7=>{Chevron_right($$anchor7,{class:"h-3.5 w-3.5"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render(consequent):$$render(alternate,-1)})}var span=sibling(node_3,2),text2=child(span);reset(span);var node_4=sibling(span,2);{var consequent_1=$$anchor7=>{var span_1=root_6$v(),text_1=child(span_1);reset(span_1),template_effect(()=>set_text(text_1, -`· Connected in ${$$props.connectionTimeMs??""}ms`)),append($$anchor7,span_1)};if_block(node_4,$$render=>{$$props.connectionTimeMs!==void 0&&$$render(consequent_1)})}template_effect(()=>set_text(text2,`Connection Log (${$$props.logs.length??""})`)),append($$anchor6,fragment_3)},$$slots:{default:!0}})}),reset(div);var node_5=sibling(div,2);component(node_5,()=>Collapsible_content,($$anchor5,Collapsible_Content)=>{Collapsible_Content($$anchor5,{class:"mt-2",children:($$anchor6,$$slotProps2)=>{var div_1=root_7$q(); -each(div_1,21,()=>$$props.logs,log=>log.timestamp.getTime()+log.message,($$anchor7,log)=>{const Icon2=user_derived(()=>getMcpLogLevelIcon(get$3(log).level));var fragment_6=root_8$p(),div_2=first_child(fragment_6),span_2=child(div_2),text_2=child(span_2,!0);reset(span_2);var node_6=sibling(span_2,2);component(node_6,()=>get$3(Icon2),($$anchor8,Icon_1)=>{Icon_1($$anchor8,{class:"mt-0.5 h-3 w-3 shrink-0"})});var span_3=sibling(node_6,2),text_3=child(span_3,!0);reset(span_3),reset(div_2);var node_7=sibling( -div_2,2);{var consequent_2=$$anchor8=>{var details_1=root_9$j(),pre=sibling(child(details_1),2),text_4=child(pre,!0);reset(pre),reset(details_1),template_effect($0=>set_text(text_4,$0),[()=>formatLogDetails(get$3(log).details)]),append($$anchor8,details_1)};if_block(node_7,$$render=>{get$3(log).details!==void 0&&$$render(consequent_2)})}template_effect(($0,$1)=>{set_class(div_2,1,$0),set_text(text_2,$1),set_text(text_3,get$3(log).message)},[()=>clsx(cn$1("flex items-start gap-1.5",getMcpLogLevelClass( -get$3(log).level))),()=>formatTime(get$3(log).timestamp)]),append($$anchor7,fragment_6)}),reset(div_1),append($$anchor6,div_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.logs.length>0&&$$render(consequent_3)})}append($$anchor,fragment),pop()}var root_1$O=from_html(""),root_2$14=from_html("");function Input($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null), -value=prop($$props,"value",15),files=prop($$props,"files",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","value","type","files","class"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$O();attribute_effect(input,$0=>({"data-slot":"input",class:$0,type:"file",...restProps}),[()=>cn$1("flex h-9 w-full min-w-0 rounded-md border border-input bg-transparent px-3 pt-1.5 text-sm font-medium shadow-xs ring-offset-background tran\ -sition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-foreground placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input,$$value=>ref2($$value),()=>ref2()),bind_files(input,files), -bind_value(input,value),append($$anchor2,input)},alternate=$$anchor2=>{var input_1=root_2$14();attribute_effect(input_1,$0=>({"data-slot":"input",class:$0,style:"backdrop-filter: blur(0.5rem);",type:$$props.type,...restProps}),[()=>cn$1("flex h-9 w-full min-w-0 rounded-md border border-input bg-background px-3 py-1 text-base shadow-xs ring-offset-background transition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-foreground placeholder:text-muted-foreground disabled\ -:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input_1,$$value=>ref2($$value),()=>ref2()),bind_value(input_1,value),append($$anchor2,input_1)};if_block(node2,$$render=>{$$props.type==="file"?$$render(consequent):$$render(alternate,-1)})}append( -$$anchor,fragment),pop()}function Switch($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),checked=prop($$props,"checked",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","checked"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("peer inline-flex h-[1.15rem] w-8 shrink-0 cursor-pointer items-center rounded-full border border-transparent shadow-xs transition-all outline-none focus-visible:border-ring fo\ -cus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input dark:data-[state=unchecked]:bg-input/80",$$props.class));component(node2,()=>Switch$1,($$anchor2,SwitchPrimitive_Root)=>{SwitchPrimitive_Root($$anchor2,spread_props({"data-slot":"switch",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get checked(){return checked()},set checked($$value){ -checked($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $02=user_derived(()=>cn$1("pointer-events-none block size-4 rounded-full bg-background ring-0 transition-transform data-[state=checked]:translate-x-[calc(100%-2px)] data-[state=unchecked]:translate-x-0 dark:data-[state=checked]:bg-primary-foreground dark:data-[state=unchecked]:bg-foreground"));component(node_1,()=>Switch_thumb,($$anchor4,SwitchPrimitive_Thumb)=>{SwitchPrimitive_Thumb( -$$anchor4,{"data-slot":"switch-thumb",get class(){return get$3($02)}})})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_1$N=from_html('

        '),root_3$O=from_html('(Run 
        llama-server
        with 
        --webui-mcp-proxy
        flag)        '),root_2$13=from_html(''),root$1s=from_html('
        ');function McpServerForm($$anchor,$$props){push$1($$props,!0);let useProxy=prop($$props,"useProxy",3,!1),urlError=prop($$props,"urlError",3,null),id2=prop($$props,"id",3,"server"),isWebSocket=user_derived(()=>$$props.url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET)||$$props. -url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET_SECURE)),headerPairs=user_derived(()=>parseHeadersToArray($$props.headers));function updateHeaderPairs(newPairs){set$1(headerPairs,newPairs),$$props.onHeadersChange(serializeHeaders(newPairs))}var div=root$1s(),div_1=child(div),label=child(div_1),node2=sibling(label,2);{let $0=user_derived(()=>urlError()?"border-destructive":"");Input(node2,{get id(){return`server-url-${id2()??""}`},type:"url",get placeholder(){return MCP_SERVER_URL_PLACEHOLDER}, -get value(){return $$props.url},oninput:e=>$$props.onUrlChange(e.currentTarget.value),get class(){return get$3($0)}})}var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var p2=root_1$N(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,urlError())),append($$anchor2,p2)};if_block(node_1,$$render=>{urlError()&&$$render(consequent)})}var node_2=sibling(node_1,2);{var consequent_2=$$anchor2=>{var label_1=root_2$13();let classes;var node_3=child(label_1);{let $0=user_derived(()=>!mcpStore. -isProxyAvailable);Switch(node_3,{class:"mt-1",get id(){return`use-proxy-${id2()??""}`},get checked(){return useProxy()},get disabled(){return get$3($0)},onCheckedChange:checked=>$$props.onUseProxyChange?.(checked)})}var span=sibling(node_3,2),node_4=sibling(child(span),4);{var consequent_1=$$anchor3=>{var span_1=root_3$O();append($$anchor3,span_1)};if_block(node_4,$$render=>{mcpStore.isProxyAvailable||$$render(consequent_1)})}reset(span),reset(label_1),template_effect(()=>classes=set_class(label_1, -1,"mt-3 flex items-start gap-2",null,classes,{"cursor-pointer":mcpStore.isProxyAvailable,"opacity-80":!mcpStore.isProxyAvailable})),append($$anchor2,label_1)};if_block(node_2,$$render=>{!get$3(isWebSocket)&&$$props.onUseProxyChange&&$$render(consequent_2)})}reset(div_1);var node_5=sibling(div_1,2);KeyValuePairs(node_5,{class:"mt-2",get pairs(){return get$3(headerPairs)},onPairsChange:updateHeaderPairs,keyPlaceholder:"Header name",valuePlaceholder:"Value",addButtonLabel:"Add",emptyMessage:"No cus\ -tom headers configured.",sectionLabel:"Custom Headers",sectionLabelOptional:!0}),reset(div),template_effect(()=>set_attribute(label,"for",`server-url-${id2()??""}`)),append($$anchor,div),pop()}var root$1r=from_html("
        ");function Card($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1r();attribute_effect(div,$0=>({"data-slot":"card",class:$0,...restProps}),[()=>cn$1( -"flex flex-col gap-6 rounded-xl bg-card py-6 text-card-foreground shadow-sm",BOX_BORDER,$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1q=from_html("
        ");function Skeleton($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var div=root$1q();attribute_effect(div, -$0=>({"data-slot":"skeleton",class:$0,...restProps}),[()=>cn$1("animate-pulse rounded-md bg-accent",$$props.class)]),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_4$w=from_html('

        '),root_5$x=from_html('

        '),root_6$u=from_html('
        ',1),root_7$p=from_html(" ",1),root_12$b=from_html('
        '),root_3$N=from_html('
        ',1),root$1p=from_html(" ",1);function McpServerCard($$anchor,$$props){push$1($$props,!0);let healthState=user_derived(()=>mcpStore. -getHealthCheckState($$props.server.id)),displayName=user_derived(()=>mcpStore.getServerLabel($$props.server)),isIdle=user_derived(()=>get$3(healthState).status===HealthCheckStatus.IDLE),isHealthChecking=user_derived(()=>get$3(healthState).status===HealthCheckStatus.CONNECTING),isConnected=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS),isError=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR),showSkeleton=user_derived(()=>get$3(isIdle)||get$3(isHealthChecking)), -errorMessage=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR?get$3(healthState).message:void 0),tools=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS?get$3(healthState).tools:[]),connectionLogs=user_derived(()=>get$3(healthState).status===HealthCheckStatus.CONNECTING||get$3(healthState).status===HealthCheckStatus.SUCCESS||get$3(healthState).status===HealthCheckStatus.ERROR?get$3(healthState).logs:[]),successState=user_derived(()=>get$3(healthState).status=== -HealthCheckStatus.SUCCESS?get$3(healthState):null),serverInfo=user_derived(()=>get$3(successState)?.serverInfo),capabilities=user_derived(()=>get$3(successState)?.capabilities),transportType=user_derived(()=>get$3(successState)?.transportType),protocolVersion=user_derived(()=>get$3(successState)?.protocolVersion),connectionTimeMs=user_derived(()=>get$3(successState)?.connectionTimeMs),instructions=user_derived(()=>get$3(successState)?.instructions),isEditing2=user_derived(()=>!$$props.server.url. -trim()),showDeleteDialog=state$1(!1),editFormRef=state$1(null);function handleHealthCheck(){mcpStore.runHealthCheck($$props.server)}async function startEditing(){set$1(isEditing2,!0),await tick(),get$3(editFormRef)?.setInitialValues($$props.server.url,$$props.server.headers||"",$$props.server.useProxy||!1)}function cancelEditing(){$$props.server.url.trim()?set$1(isEditing2,!1):$$props.onDelete()}function saveEditing(url2,headers,useProxy){$$props.onUpdate({url:url2,headers:headers||void 0,useProxy}), -set$1(isEditing2,!1),$$props.server.enabled&&url2&&setTimeout(()=>mcpStore.runHealthCheck({...$$props.server,url:url2,useProxy}),100)}function handleDeleteClick(){set$1(showDeleteDialog,!0)}var fragment=root$1p(),node2=first_child(fragment);component(node2,()=>Card,($$anchor2,Card_Root)=>{Card_Root($$anchor2,{class:"!gap-3 bg-muted/30 p-4",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor4=>{bind_this(McpServerCardEditForm($$anchor4, -{get serverId(){return $$props.server.id},get serverUrl(){return $$props.server.url},get serverUseProxy(){return $$props.server.useProxy},onSave:saveEditing,onCancel:cancelEditing}),$$value=>set$1(editFormRef,$$value,!0),()=>get$3(editFormRef))},alternate_1=$$anchor4=>{var fragment_3=root_3$N(),node_2=first_child(fragment_3);{let $0=user_derived(()=>$$props.enabled??$$props.server.enabled);McpServerCardHeader(node_2,{get displayName(){return get$3(displayName)},get faviconUrl(){return $$props.faviconUrl}, -get enabled(){return get$3($0)},get disabled(){return get$3(isError)},get onToggle(){return $$props.onToggle},get serverInfo(){return get$3(serverInfo)},get capabilities(){return get$3(capabilities)},get transportType(){return get$3(transportType)}})}var node_3=sibling(node_2,2);{var consequent_1=$$anchor5=>{var p2=root_4$w(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,get$3(errorMessage))),append($$anchor5,p2)};if_block(node_3,$$render=>{get$3(isError)&&get$3(errorMessage)&& -$$render(consequent_1)})}var node_4=sibling(node_3,2);{var consequent_2=$$anchor5=>{var p_1=root_5$x(),text_1=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_1,get$3(serverInfo).description)),append($$anchor5,p_1)};if_block(node_4,$$render=>{get$3(isConnected)&&get$3(serverInfo)?.description&&$$render(consequent_2)})}var div=sibling(node_4,2),node_5=child(div);{var consequent_3=$$anchor5=>{var fragment_4=root_6$u(),div_1=first_child(fragment_4),div_2=child(div_1),node_6=child(div_2);Skeleton( -node_6,{class:"h-4 w-4 rounded"});var node_7=sibling(node_6,2);Skeleton(node_7,{class:"h-3 w-24"}),reset(div_2);var div_3=sibling(div_2,2),node_8=child(div_3);Skeleton(node_8,{class:"h-5 w-16 rounded-full"});var node_9=sibling(node_8,2);Skeleton(node_9,{class:"h-5 w-20 rounded-full"});var node_10=sibling(node_9,2);Skeleton(node_10,{class:"h-5 w-14 rounded-full"}),reset(div_3),reset(div_1);var div_4=sibling(div_1,2),div_5=child(div_4),node_11=child(div_5);Skeleton(node_11,{class:"h-4 w-4 rounded"}); -var node_12=sibling(node_11,2);Skeleton(node_12,{class:"h-3 w-32"}),reset(div_5),reset(div_4),append($$anchor5,fragment_4)},alternate=$$anchor5=>{var fragment_5=root_7$p(),node_13=first_child(fragment_5);{var consequent_4=$$anchor6=>{McpServerInfo($$anchor6,{get instructions(){return get$3(instructions)}})};if_block(node_13,$$render=>{get$3(isConnected)&&get$3(instructions)&&$$render(consequent_4)})}var node_14=sibling(node_13,2);{var consequent_5=$$anchor6=>{McpServerCardToolsList($$anchor6,{get tools(){ -return get$3(tools)}})};if_block(node_14,$$render=>{get$3(tools).length>0&&$$render(consequent_5)})}var node_15=sibling(node_14,2);{var consequent_6=$$anchor6=>{McpConnectionLogs($$anchor6,{get logs(){return get$3(connectionLogs)},get connectionTimeMs(){return get$3(connectionTimeMs)}})};if_block(node_15,$$render=>{get$3(connectionLogs).length>0&&$$render(consequent_6)})}append($$anchor5,fragment_5)};if_block(node_5,$$render=>{get$3(showSkeleton)?$$render(consequent_3):$$render(alternate,-1)})}reset( -div);var div_6=sibling(div,2),node_16=child(div_6);{var consequent_7=$$anchor5=>{Skeleton($$anchor5,{class:"h-3 w-28"})},consequent_8=$$anchor5=>{var div_7=root_12$b(),span=child(div_7),text_2=child(span);reset(span),reset(div_7),template_effect(()=>set_text(text_2,`Protocol version: ${get$3(protocolVersion)??""}`)),append($$anchor5,div_7)};if_block(node_16,$$render=>{get$3(showSkeleton)?$$render(consequent_7):get$3(protocolVersion)&&$$render(consequent_8,1)})}var node_17=sibling(node_16,2);McpServerCardActions( -node_17,{get isHealthChecking(){return get$3(isHealthChecking)},onEdit:startEditing,onRefresh:handleHealthCheck,onDelete:handleDeleteClick}),reset(div_6),append($$anchor4,fragment_3)};if_block(node_1,$$render=>{get$3(isEditing2)?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})});var node_18=sibling(node2,2);McpServerCardDeleteDialog(node_18,{get displayName(){return get$3(displayName)},onOpenChange:open2=>set$1(showDeleteDialog,open2,!0),get onConfirm(){ -return $$props.onDelete},get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_1$M=from_html(''),root_2$12=from_html('
        '),root_5$w=from_html(''),root_8$o=from_html(" ",1),root_6$t=from_html('
        '),root$1o=from_html('

        ');function McpServerCardHeader($$anchor,$$props){ -push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1);var div=root$1o(),div_1=child(div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);{var consequent=$$anchor2=>{var img=root_1$M();template_effect(()=>set_attribute(img,"src",$$props.faviconUrl)),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor2,img)},alternate=$$anchor2=>{var div_4=root_2$12(),node_1=child(div_4);Cable(node_1,{class:"h-3 w-3 text-muted-foreground"}),reset(div_4), -append($$anchor2,div_4)};if_block(node2,$$render=>{$$props.faviconUrl?$$render(consequent):$$render(alternate,-1)})}var p2=sibling(node2,2),text2=child(p2,!0);reset(p2);var node_2=sibling(p2,2);{var consequent_1=$$anchor2=>{Badge($$anchor2,{variant:"secondary",class:"h-4 min-w-0 truncate px-1 text-[10px]",children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,`v${$$props.serverInfo.version??""}`)),append($$anchor3,text_1)},$$slots:{default:!0}})};if_block( -node_2,$$render=>{$$props.serverInfo?.version&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{var a=root_5$w(),node_4=child(a);External_link(node_4,{class:"h-3 w-3"}),reset(a),template_effect(()=>set_attribute(a,"href",$$props.serverInfo.websiteUrl)),append($$anchor2,a)};if_block(node_3,$$render=>{$$props.serverInfo?.websiteUrl&&$$render(consequent_2)})}reset(div_3);var node_5=sibling(div_3,2);{var consequent_6=$$anchor2=>{var div_5=root_6$t(),node_6=child(div_5); -{var consequent_4=$$anchor3=>{const TransportIcon=user_derived(()=>MCP_TRANSPORT_ICONS[$$props.transportType]);Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 px-1.5 text-[10px]",children:($$anchor4,$$slotProps)=>{var fragment_3=root_8$o(),node_7=first_child(fragment_3);{var consequent_3=$$anchor5=>{var fragment_4=comment$2(),node_8=first_child(fragment_4);component(node_8,()=>get$3(TransportIcon),($$anchor6,TransportIcon_1)=>{TransportIcon_1($$anchor6,{class:"h-3 w-3"})}),append($$anchor5,fragment_4)}; -if_block(node_7,$$render=>{get$3(TransportIcon)&&$$render(consequent_3)})}var text_2=sibling(node_7);template_effect(()=>set_text(text_2,` ${(MCP_TRANSPORT_LABELS[$$props.transportType]||$$props.transportType)??""}`)),append($$anchor4,fragment_3)},$$slots:{default:!0}})};if_block(node_6,$$render=>{$$props.transportType&&$$render(consequent_4)})}var node_9=sibling(node_6,2);{var consequent_5=$$anchor3=>{McpCapabilitiesBadges($$anchor3,{get capabilities(){return $$props.capabilities}})};if_block(node_9, -$$render=>{$$props.capabilities&&$$render(consequent_5)})}reset(div_5),append($$anchor2,div_5)};if_block(node_5,$$render=>{($$props.capabilities||$$props.transportType)&&$$render(consequent_6)})}reset(div_2);var div_6=sibling(div_2,2),node_10=child(div_6);Switch(node_10,{get checked(){return $$props.enabled},get disabled(){return disabled()},get onCheckedChange(){return $$props.onToggle}}),reset(div_6),reset(div_1),reset(div),template_effect(()=>set_text(text2,$$props.displayName)),append($$anchor, -div),pop()}var root$1n=from_html('
        ');function McpServerCardActions($$anchor,$$props){var div=root$1n(),node2=child(div);Button(node2,{variant:"ghost",size:"icon",class:"h-7 w-7",get onclick(){return $$props.onEdit},"aria-label":"Edit",children:($$anchor2,$$slotProps)=>{Pencil($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_1=sibling(node2,2);Button(node_1,{variant:"ghost",size:"icon",class:"h-7 w-7",get onclick(){return $$props. -onRefresh},get disabled(){return $$props.isHealthChecking},"aria-label":"Refresh",children:($$anchor2,$$slotProps)=>{Refresh_cw($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_2=sibling(node_1,2);Button(node_2,{variant:"ghost",size:"icon",class:"hover:text-destructive-foreground h-7 w-7 text-destructive hover:bg-destructive/10",get onclick(){return $$props.onDelete},"aria-label":"Delete",children:($$anchor2,$$slotProps)=>{Trash_2($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}}), -reset(div),append($$anchor,div)}var root_2$11=from_html(" ",1),root_8$n=from_html('

        '),root_6$s=from_html("
        "),root_5$v=from_html('
        '),root_1$L=from_html(" ",1);function McpServerCardToolsList($$anchor,$$props){push$1($$props,!0);let isExpanded=state$1(!1),toolsCount=user_derived(()=>$$props.tools.length);var fragment=comment$2(),node2=first_child(fragment); -component(node2,()=>Collapsible,($$anchor2,Collapsible_Root)=>{Collapsible_Root($$anchor2,{get open(){return get$3(isExpanded)},set open($$value){set$1(isExpanded,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$L(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible_trigger,($$anchor4,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor4,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor5,$$slotProps2)=>{ -var fragment_2=root_2$11(),node_2=first_child(fragment_2);{var consequent=$$anchor6=>{Chevron_down($$anchor6,{class:"h-3.5 w-3.5"})},alternate=$$anchor6=>{Chevron_right($$anchor6,{class:"h-3.5 w-3.5"})};if_block(node_2,$$render=>{get$3(isExpanded)?$$render(consequent):$$render(alternate,-1)})}var span=sibling(node_2,2),text2=child(span);reset(span),template_effect(()=>set_text(text2,`${get$3(toolsCount)??""} tools available · Show details`)),append($$anchor5,fragment_2)},$$slots:{default:!0}})}); -var node_3=sibling(node_1,2);component(node_3,()=>Collapsible_content,($$anchor4,Collapsible_Content)=>{Collapsible_Content($$anchor4,{class:"mt-2",children:($$anchor5,$$slotProps2)=>{var div=root_5$v();each(div,21,()=>$$props.tools,tool=>tool.name,($$anchor6,tool)=>{var div_1=root_6$s(),node_4=child(div_1);Badge(node_4,{variant:"secondary",children:($$anchor7,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$3(tool).name)),append($$anchor7,text_1)},$$slots:{default:!0}}); -var node_5=sibling(node_4,2);{var consequent_1=$$anchor7=>{var p2=root_8$n(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,get$3(tool).description)),append($$anchor7,p2)};if_block(node_5,$$render=>{get$3(tool).description&&$$render(consequent_1)})}reset(div_1),append($$anchor6,div_1)}),reset(div),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root$1m=from_html('
        <\ -p class="font-medium">Configure Server

        ');function McpServerCardEditForm($$anchor,$$props){push$1($$props,!0);let serverUseProxy=prop($$props,"serverUseProxy",3,!1),editUrl=user_derived(()=>$$props.serverUrl),editHeaders=state$1(""),editUseProxy=user_derived(serverUseProxy),urlError=user_derived(()=>{if(!get$3(editUrl).trim())return"URL is required";try{return new URL(get$3(editUrl)),null}catch{return"Invalid URL format"}}), -canSave=user_derived(()=>!get$3(urlError));function handleSave(){get$3(canSave)&&$$props.onSave(get$3(editUrl).trim(),get$3(editHeaders).trim(),get$3(editUseProxy))}function setInitialValues(url2,headers,useProxy){set$1(editUrl,url2),set$1(editHeaders,headers,!0),set$1(editUseProxy,useProxy)}var $$exports={setInitialValues},div=root$1m(),node2=sibling(child(div),2);{let $0=user_derived(()=>get$3(editUrl)?get$3(urlError):null);McpServerForm(node2,{get url(){return get$3(editUrl)},get headers(){return get$3( -editHeaders)},get useProxy(){return get$3(editUseProxy)},onUrlChange:v=>set$1(editUrl,v),onHeadersChange:v=>set$1(editHeaders,v,!0),onUseProxyChange:v=>set$1(editUseProxy,v),get urlError(){return get$3($0)},get id(){return $$props.serverId}})}var div_1=sibling(node2,2),node_1=child(div_1);Button(node_1,{variant:"secondary",size:"sm",get onclick(){return $$props.onCancel},children:($$anchor2,$$slotProps)=>{next$1();var text2=text$8("Cancel");append($$anchor2,text2)},$$slots:{default:!0}});var node_2=sibling( -node_1,2);{let $0=user_derived(()=>!get$3(canSave));Button(node_2,{size:"sm",onclick:handleSave,get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8();template_effect($02=>set_text(text_1,$02),[()=>$$props.serverUrl.trim()?"Update":"Add"]),append($$anchor2,text_1)},$$slots:{default:!0}})}return reset(div_1),reset(div),append($$anchor,div),pop($$exports)}function Alert_dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null), -restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-lg font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,AlertDialogPrimitive_Title)=>{AlertDialogPrimitive_Title($$anchor2,spread_props({"data-slot":"alert-dialog-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()} -function Alert_dialog_action($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants(),$$props.class));component(node2,()=>Alert_dialog_action$1,($$anchor2,AlertDialogPrimitive_Action)=>{AlertDialogPrimitive_Action($$anchor2,spread_props({"data-slot":"alert-dialog-action",get class(){return get$3($0)}},()=>restProps, -{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Alert_dialog_cancel($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants({variant:"outline"}),$$props.class));component(node2,()=>Alert_dialog_cancel$1,($$anchor2,AlertDialogPrimitive_Cancel)=>{AlertDialogPrimitive_Cancel( -$$anchor2,spread_props({"data-slot":"alert-dialog-cancel",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root$1l=from_html("
        ");function Alert_dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1l();attribute_effect(div,$0=>({"data-slot":"alert-dialog\ --footer",class:$0,...restProps}),[()=>cn$1("mt-6 flex flex-row gap-2 sm:mt-0 sm:justify-end [&>*]:flex-1 sm:[&>*]:flex-none",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1k=from_html("
        ");function Alert_dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","\ -ref","class","children"]);var div=root$1k();attribute_effect(div,$0=>({"data-slot":"alert-dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Alert_dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","\ -$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,AlertDialogPrimitive_Overlay)=>{AlertDialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"alert-dialog-overlay",get class(){return get$3($0)}},()=>restProps, -{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_1$K=from_html(" ",1);function Alert_dialog_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","portalProps"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,AlertDialogPrimitive_Portal)=>{AlertDialogPrimitive_Portal($$anchor2,spread_props( -()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$K(),node_1=first_child(fragment_1);Alert_dialog_overlay(node_1,{});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed z-[999999] grid w-full gap-4 border bg-background p-6 shadow-lg duration-200","right-0 bottom-0 left-0 max-h-[100dvh] translate-x-0 translate-y-0 overflow-y-auto rounded-t-lg","data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:slide-out-to-bottom-full", -"data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:slide-in-from-bottom-full","sm:top-[50%] sm:right-auto sm:bottom-auto sm:left-[50%] sm:max-h-[100vh] sm:max-w-lg sm:translate-x-[-50%] sm:translate-y-[-50%] sm:rounded-lg","sm:data-[state=closed]:slide-out-to-bottom-0 sm:data-[state=closed]:zoom-out-95","sm:data-[state=open]:slide-in-from-bottom-0 sm:data-[state=open]:zoom-in-95",$$props.class));component(node_2,()=>Alert_dialog_content$1,($$anchor4,AlertDialogPrimitive_Content)=>{ -AlertDialogPrimitive_Content($$anchor4,spread_props({"data-slot":"alert-dialog-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Alert_dialog_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child( -fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,AlertDialogPrimitive_Description)=>{AlertDialogPrimitive_Description($$anchor2,spread_props({"data-slot":"alert-dialog-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$3=Alert_dialog,Portal=Portal$2;var root_5$u=from_html(`Are you sure you want \ -to delete ? 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        '),root_3$I=from_html(" ",1),root_9$i=from_html('
        '),root_15$b=from_html(''),root_12$a=from_html(' ) ',1),root_19$9=from_html('
        '),root_20$5=from_html('
        No resources
        '), -root_25$3=from_html('
        '),root_26$2=from_html(''),root_24$2=from_html('
        Templates
        ',1),root_21$6=from_html(" ",1),root_18$6=from_html('
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-function handleResourceClick(resource,event2){$$props.onSelect?.(resource,event2.shiftKey)}function handleCheckboxChange(resource,checked){$$props.onToggle?.(resource,checked)}function isResourceSelected(resource){return $$props.selectedUris.has(resource.uri)}var fragment_8=comment$2(),node_9=first_child(fragment_8);component(node_9,()=>Collapsible,($$anchor2,Collapsible_Root_1)=>{Collapsible_Root_1($$anchor2,{get open(){return $$props.isExpanded},get onOpenChange(){return $$props.onToggleServer}, -children:($$anchor3,$$slotProps)=>{var fragment_9=root_11$d(),node_10=first_child(fragment_9);component(node_10,()=>Collapsible_trigger,($$anchor4,Collapsible_Trigger_1)=>{Collapsible_Trigger_1($$anchor4,{class:"flex w-full items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50",children:($$anchor5,$$slotProps2)=>{var fragment_10=root_12$a(),node_11=first_child(fragment_10);{var consequent_4=$$anchor6=>{Chevron_down($$anchor6,{class:"h-3.5 w-3.5"})},alternate_1=$$anchor6=>{Chevron_right( -$$anchor6,{class:"h-3.5 w-3.5"})};if_block(node_11,$$render=>{$$props.isExpanded?$$render(consequent_4):$$render(alternate_1,-1)})}var span_3=sibling(node_11,2),span_4=child(span_3),node_12=child(span_4);{var consequent_5=$$anchor6=>{var img=root_15$b();template_effect(()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor6,img)};if_block(node_12,$$render=>{get$3(favicon)&&$$render(consequent_5)})}var text_3=sibling( -node_12);reset(span_4);var span_5=sibling(span_4,2),text_4=child(span_5),node_13=sibling(text_4);{var consequent_6=$$anchor6=>{var text_5=text$8();template_effect(()=>set_text(text_5,`, ${$$props.serverRes.templates.length??""} template${$$props.serverRes.templates.length!==1?"s":""}`)),append($$anchor6,text_5)};if_block(node_13,$$render=>{get$3(hasTemplates)&&$$render(consequent_6)})}next$1(),reset(span_5),reset(span_3);var node_14=sibling(span_3,2);{var consequent_7=$$anchor6=>{Loader_circle($$anchor6, -{class:"ml-auto h-3 w-3 animate-spin text-muted-foreground"})};if_block(node_14,$$render=>{$$props.serverRes.loading&&$$render(consequent_7)})}template_effect(()=>{set_text(text_3,` ${get$3(displayName)??""}`),set_text(text_4,`(${$$props.serverRes.resources.length??""} resource${$$props.serverRes.resources.length!==1?"s":""}`)}),append($$anchor5,fragment_10)},$$slots:{default:!0}})});var node_15=sibling(node_10,2);component(node_15,()=>Collapsible_content,($$anchor4,Collapsible_Content_1)=>{Collapsible_Content_1( -$$anchor4,{children:($$anchor5,$$slotProps2)=>{var div_2=root_18$6(),node_16=child(div_2);{var consequent_8=$$anchor6=>{var div_3=root_19$9(),text_6=child(div_3);reset(div_3),template_effect(()=>set_text(text_6,`Error: ${$$props.serverRes.error??""}`)),append($$anchor6,div_3)},consequent_9=$$anchor6=>{var div_4=root_20$5();append($$anchor6,div_4)},alternate_2=$$anchor6=>{var fragment_15=root_21$6(),node_17=first_child(fragment_15);{var consequent_10=$$anchor7=>{var fragment_16=comment$2(),node_18=first_child( -fragment_16);each(node_18,17,()=>sortTreeChildren([...get$3(resourceTree).children.values()]),child2=>child2.resource?.uri||`${$$props.serverName}:${child2.name}`,($$anchor8,child2)=>{renderTreeNode($$anchor8,()=>get$3(child2),()=>1,()=>"")}),append($$anchor7,fragment_16)};if_block(node_17,$$render=>{get$3(hasResources)&&$$render(consequent_10)})}var node_19=sibling(node_17,2);{var consequent_12=$$anchor7=>{var fragment_18=root_24$2(),node_20=first_child(fragment_18);{var consequent_11=$$anchor8=>{ -var div_5=root_25$3();append($$anchor8,div_5)};if_block(node_20,$$render=>{get$3(hasResources)&&$$render(consequent_11)})}var node_21=sibling(node_20,4);each(node_21,17,()=>get$3(templateInfos),template=>template.uriTemplate,($$anchor8,template)=>{var button_1=root_26$2(),node_22=child(button_1);Braces(node_22,{class:"h-3.5 w-3.5 shrink-0 text-muted-foreground"});var span_6=sibling(node_22,2),text_7=child(span_6,!0);reset(span_6),reset(button_1),template_effect($0=>{set_class(button_1,1,$0),set_attribute( -button_1,"title",get$3(template).uriTemplate),set_text(text_7,get$3(template).title||get$3(template).name)},[()=>clsx(cn$1("flex w-full items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors","hover:bg-muted/50",$$props.selectedTemplateUri===get$3(template).uriTemplate&&"bg-muted"))]),delegated("click",button_1,()=>$$props.onTemplateSelect(get$3(template))),append($$anchor8,button_1)}),append($$anchor7,fragment_18)};if_block(node_19,$$render=>{get$3(hasTemplates)&&$$props.onTemplateSelect&& -$$render(consequent_12)})}append($$anchor6,fragment_15)};if_block(node_16,$$render=>{$$props.serverRes.error?$$render(consequent_8):get$3(hasContent)?$$render(alternate_2,-1):$$render(consequent_9,1)})}reset(div_2),append($$anchor5,div_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_9)},$$slots:{default:!0}})}),append($$anchor,fragment_8),pop()}delegate(["click"]);var root$1e=from_html('
        ');function McpResourceBrowser($$anchor,$$props){ -push$1($$props,!0);let selectedUris=prop($$props,"selectedUris",19,()=>new Set),expandedServers=new SvelteSet,expandedFolders=new SvelteSet,searchQuery=state$1("");const resources=user_derived(mcpResources),isLoading2=user_derived(mcpResourcesLoading),filteredResources=user_derived(()=>{if(!get$3(searchQuery).trim())return get$3(resources);const query=get$3(searchQuery).toLowerCase(),filtered=new SvelteMap;for(const[serverName,serverRes]of get$3(resources).entries()){const filteredResources2=serverRes. -resources.filter(r2=>r2.title?.toLowerCase().includes(query)||r2.uri.toLowerCase().includes(query)||serverName.toLowerCase().includes(query)),filteredTemplates=serverRes.templates.filter(t=>t.name?.toLowerCase().includes(query)||t.title?.toLowerCase().includes(query)||t.uriTemplate.toLowerCase().includes(query)||serverName.toLowerCase().includes(query));(filteredResources2.length>0||filteredTemplates.length>0||query.trim())&&filtered.set(serverName,{...serverRes,resources:filteredResources2,templates:filteredTemplates})} -return filtered});user_effect(()=>{$$props.expandToUri&&get$3(resources).size>0&&autoExpandToResource($$props.expandToUri)});function autoExpandToResource(uri2){for(const[serverName,serverRes]of get$3(resources).entries())if(serverRes.resources.find(r2=>r2.uri===uri2)){expandedServers.add(serverName);const pathParts=parseResourcePath(uri2);if(pathParts.length>1){let currentPath="";for(let i=0;iset$1( -searchQuery,q2,!0),get searchQuery(){return get$3(searchQuery)}});var div_1=sibling(node2,2),node_1=child(div_1);{var consequent=$$anchor2=>{McpResourceBrowserEmptyState($$anchor2,{get isLoading(){return get$3(isLoading2)}})},alternate=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,17,()=>[...get$3(filteredResources).entries()],([serverName,serverRes])=>serverName,($$anchor3,$$item)=>{var $$array=user_derived(()=>to_array(get$3($$item),2));let serverName=()=>get$3( -$$array)[0],serverRes=()=>get$3($$array)[1];{let $0=user_derived(()=>expandedServers.has(serverName()));McpResourceBrowserServerItem($$anchor3,{get serverName(){return serverName()},get serverRes(){return serverRes()},get isExpanded(){return get$3($0)},get selectedUris(){return selectedUris()},get selectedTemplateUri(){return $$props.selectedTemplateUri},get expandedFolders(){return expandedFolders},onToggleServer:()=>toggleServer(serverName()),onToggleFolder:toggleFolder,get onSelect(){return $$props. -onSelect},get onToggle(){return $$props.onToggle},get onTemplateSelect(){return $$props.onTemplateSelect},get searchQuery(){return get$3(searchQuery)}})}}),append($$anchor2,fragment_1)};if_block(node_1,$$render=>{get$3(filteredResources).size===0?$$render(consequent):$$render(alternate,-1)})}reset(div_1),reset(div),template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("flex flex-col gap-2",$$props.class))]),append($$anchor,div),pop()}var root_1$E=from_html('
        Select a resource to preview
        '),root_3$H=from_html('

        '),root_5$s=from_html('
        '),root_6$p=from_html('
        '),root_8$m=from_html('
        '),root_10$f=from_html('Resource content'),root_11$c=from_html('
        '),root_12$9=from_html('
        No content available
        '),root_7$n=from_html(" ",1),root_14$7=from_html(' '),root_15$a=from_html(' '),root_13$a=from_html('
        '),root_2$Y=from_html('

        ',1),root$1d=from_html("
        ");function McpResourcePreview($$anchor,$$props){push$1($$props,!0);let content2=state$1(null),isLoading2=state$1(!1),error2=state$1(null);user_effect(()=>{$$props.resource?$$props.preloadedContent?(set$1(content2,$$props.preloadedContent,!0),set$1(isLoading2,!1),set$1(error2,null)):loadContent($$props.resource.uri):(set$1(content2,null),set$1(error2,null))});async function loadContent(uri2){set$1(isLoading2,!0),set$1( -error2,null);try{const result=await mcpStore.readResource(uri2);result?set$1(content2,result,!0):set$1(error2,"Failed to load resource content")}catch(e){set$1(error2,e instanceof Error?e.message:"Unknown error",!0)}finally{set$1(isLoading2,!1)}}function handleDownload(){const text2=getResourceTextContent(get$3(content2));!text2||!$$props.resource||downloadResourceContent(text2,$$props.resource.mimeType||MimeTypeText.PLAIN,$$props.resource.name||"resource.txt")}var div=root$1d(),node2=child(div); -{var consequent=$$anchor2=>{var div_1=root_1$E(),node_1=child(div_1);File_text(node_1,{class:"h-8 w-8 opacity-50"}),next$1(2),reset(div_1),append($$anchor2,div_1)},alternate_1=$$anchor2=>{var fragment=root_2$Y(),div_2=first_child(fragment),div_3=child(div_2),h3=child(div_3),text_1=child(h3,!0);reset(h3);var p2=sibling(h3,2),text_2=child(p2,!0);reset(p2);var node_2=sibling(p2,2);{var consequent_1=$$anchor3=>{var p_1=root_3$H(),text_3=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_3,$$props. -resource.description)),append($$anchor3,p_1)};if_block(node_2,$$render=>{$$props.resource.description&&$$render(consequent_1)})}reset(div_3);var div_4=sibling(div_3,2),node_3=child(div_4);{let $0=user_derived(()=>getResourceTextContent(get$3(content2))),$1=user_derived(()=>!get$3(isLoading2)&&!!getResourceTextContent(get$3(content2)));ActionIconCopyToClipboard(node_3,{get text(){return get$3($0)},get canCopy(){return get$3($1)},ariaLabel:"Copy content"})}var node_4=sibling(node_3,2);{let $0=user_derived( -()=>get$3(isLoading2)||!getResourceTextContent(get$3(content2)));Button(node_4,{variant:"ghost",size:"sm",class:"h-7 w-7 p-0",onclick:handleDownload,get disabled(){return get$3($0)},title:"Download content",children:($$anchor3,$$slotProps)=>{Download($$anchor3,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})}reset(div_4),reset(div_2);var div_5=sibling(div_2,2),node_5=child(div_5);{var consequent_2=$$anchor3=>{var div_6=root_5$s(),node_6=child(div_6);Loader_circle(node_6,{class:"h-6 w-6 animate-spi\ -n text-muted-foreground"}),reset(div_6),append($$anchor3,div_6)},consequent_3=$$anchor3=>{var div_7=root_6$p(),node_7=child(div_7);Circle_alert(node_7,{class:"h-6 w-6"});var span=sibling(node_7,2),text_4=child(span,!0);reset(span),reset(div_7),template_effect(()=>set_text(text_4,get$3(error2))),append($$anchor3,div_7)},consequent_7=$$anchor3=>{const textContent=user_derived(()=>getResourceTextContent(get$3(content2))),blobContent=user_derived(()=>getResourceBlobContent(get$3(content2)));var fragment_2=root_7$n(), -node_8=first_child(fragment_2);{var consequent_4=$$anchor4=>{var pre=root_8$m(),text_5=child(pre,!0);reset(pre),template_effect(()=>set_text(text_5,get$3(textContent))),append($$anchor4,pre)};if_block(node_8,$$render=>{get$3(textContent)&&$$render(consequent_4)})}var node_9=sibling(node_8,2);each(node_9,17,()=>get$3(blobContent),blob=>blob.uri,($$anchor4,blob)=>{var fragment_3=comment$2(),node_10=first_child(fragment_3);{var consequent_5=$$anchor5=>{var img=root_10$f();template_effect($0=>set_attribute( -img,"src",$0),[()=>createBase64DataUrl(get$3(blob).mimeType??MimeTypeApplication.OCTET_STREAM,get$3(blob).blob)]),append($$anchor5,img)},d2=user_derived(()=>isImageMimeType(get$3(blob).mimeType??MimeTypeApplication.OCTET_STREAM)),alternate=$$anchor5=>{var div_8=root_11$c(),node_11=child(div_8);File_text(node_11,{class:"h-4 w-4"});var span_1=sibling(node_11,2),text_6=child(span_1);reset(span_1),reset(div_8),template_effect(()=>set_text(text_6,`Binary content (${(get$3(blob).mimeType||"unknown typ\ -e")??""})`)),append($$anchor5,div_8)};if_block(node_10,$$render=>{get$3(d2)?$$render(consequent_5):$$render(alternate,-1)})}append($$anchor4,fragment_3)});var node_12=sibling(node_9,2);{var consequent_6=$$anchor4=>{var div_9=root_12$9();append($$anchor4,div_9)};if_block(node_12,$$render=>{!get$3(textContent)&&get$3(blobContent).length===0&&$$render(consequent_6)})}append($$anchor3,fragment_2)};if_block(node_5,$$render=>{get$3(isLoading2)?$$render(consequent_2):get$3(error2)?$$render(consequent_3, -1):get$3(content2)&&$$render(consequent_7,2)})}reset(div_5);var node_13=sibling(div_5,2);{var consequent_10=$$anchor3=>{var div_10=root_13$a(),node_14=child(div_10);{var consequent_8=$$anchor4=>{var span_2=root_14$7(),text_7=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_7,$$props.resource.mimeType)),append($$anchor4,span_2)};if_block(node_14,$$render=>{$$props.resource.mimeType&&$$render(consequent_8)})}var node_15=sibling(node_14,2);{var consequent_9=$$anchor4=>{var span_3=root_15$a(), -text_8=child(span_3);reset(span_3),template_effect(()=>set_text(text_8,`Priority: ${$$props.resource.annotations.priority??""}`)),append($$anchor4,span_3)};if_block(node_15,$$render=>{$$props.resource.annotations?.priority!==void 0&&$$render(consequent_9)})}var span_4=sibling(node_15,2),text_9=child(span_4);reset(span_4),reset(div_10),template_effect(()=>set_text(text_9,`Server: ${$$props.resource.serverName??""}`)),append($$anchor3,div_10)};if_block(node_13,$$render=>{($$props.resource.mimeType|| -$$props.resource.annotations)&&$$render(consequent_10)})}template_effect(()=>{set_text(text_1,$$props.resource.title||$$props.resource.name),set_text(text_2,$$props.resource.uri)}),append($$anchor2,fragment)};if_block(node2,$$render=>{$$props.resource?$$render(alternate_1,-1):$$render(consequent)})}reset(div),template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("flex flex-col gap-3",$$props.class))]),append($$anchor,div),pop()}var root_2$X=from_html('

        Resolved URI:

        '),root$1c=from_html('
        ');function McpResourceTemplateForm($$anchor,$$props){push$1($$props,!0);const variables=user_derived(()=>extractTemplateVariables($$props.template.uriTemplate));let values=proxy({}),suggestions=proxy({}),loadingSuggestions=proxy({}),activeAutocomplete=state$1(null), -autocompleteIndex=state$1(0);const expandedUri=user_derived(()=>expandTemplate($$props.template.uriTemplate,values)),isComplete=user_derived(()=>isTemplateComplete($$props.template.uriTemplate,values)),fetchCompletions=debounce(async(argName,value)=>{if(value.length<1){suggestions[argName]=[];return}loadingSuggestions[argName]=!0;try{const result=await mcpStore.getResourceCompletions($$props.template.serverName,$$props.template.uriTemplate,argName,value);if(result&&result.values.length>0){const filteredValues=result. -values.filter(v=>v.trim()!=="");filteredValues.length>0?(suggestions[argName]=filteredValues,set$1(activeAutocomplete,argName,!0),set$1(autocompleteIndex,0)):suggestions[argName]=[]}else suggestions[argName]=[]}catch(error2){console.error("[McpResourceTemplateForm] Failed to fetch completions:",error2),suggestions[argName]=[]}finally{loadingSuggestions[argName]=!1}},200);function handleArgInput(argName,value){values[argName]=value,fetchCompletions(argName,value)}function selectSuggestion(argName,value){ -values[argName]=value,suggestions[argName]=[],set$1(activeAutocomplete,null)}function handleArgKeydown(event2,argName){const argSuggestions=suggestions[argName]??[];if(event2.key===KeyboardKey.ESCAPE){event2.preventDefault(),event2.stopPropagation(),argSuggestions.length>0&&get$3(activeAutocomplete)===argName?(suggestions[argName]=[],set$1(activeAutocomplete,null)):$$props.onCancel();return}argSuggestions.length===0||get$3(activeAutocomplete)!==argName||(event2.key===KeyboardKey.ARROW_DOWN?(event2. -preventDefault(),set$1(autocompleteIndex,Math.min(get$3(autocompleteIndex)+1,argSuggestions.length-1),!0)):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),set$1(autocompleteIndex,Math.max(get$3(autocompleteIndex)-1,0),!0)):event2.key===KeyboardKey.ENTER&&argSuggestions[get$3(autocompleteIndex)]&&(event2.preventDefault(),event2.stopPropagation(),selectSuggestion(argName,argSuggestions[get$3(autocompleteIndex)])))}function handleArgBlur(argName){setTimeout(()=>{get$3(activeAutocomplete)=== -argName&&(suggestions[argName]=[],set$1(activeAutocomplete,null))},150)}function handleArgFocus(argName){const value=values[argName]??"";value.length>=MIN_AUTOCOMPLETE_INPUT_LENGTH&&fetchCompletions(argName,value)}function handleSubmit(event2){event2.preventDefault(),get$3(isComplete)&&$$props.onResolve(get$3(expandedUri),$$props.template.serverName)}var form=root$1c(),node2=child(form);each(node2,17,()=>get$3(variables),variable=>variable.name,($$anchor2,variable)=>{{let $0=user_derived(()=>values[get$3( -variable).name]??""),$1=user_derived(()=>suggestions[get$3(variable).name]??[]),$2=user_derived(()=>loadingSuggestions[get$3(variable).name]??!1),$3=user_derived(()=>get$3(activeAutocomplete)===get$3(variable).name),$4=user_derived(()=>get$3(activeAutocomplete)===get$3(variable).name?get$3(autocompleteIndex):0);InputWithSuggestions($$anchor2,{get name(){return get$3(variable).name},get value(){return get$3($0)},get suggestions(){return get$3($1)},get isLoadingSuggestions(){return get$3($2)},get isAutocompleteActive(){ -return get$3($3)},get autocompleteIndex(){return get$3($4)},onInput:value=>handleArgInput(get$3(variable).name,value),onKeydown:e=>handleArgKeydown(e,get$3(variable).name),onBlur:()=>handleArgBlur(get$3(variable).name),onFocus:()=>handleArgFocus(get$3(variable).name),onSelectSuggestion:value=>selectSuggestion(get$3(variable).name,value)})}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div=root_2$X(),p2=sibling(child(div),2),text2=child(p2,!0);reset(p2),reset(div),template_effect( -()=>set_text(text2,get$3(expandedUri))),append($$anchor2,div)};if_block(node_1,$$render=>{get$3(isComplete)&&$$render(consequent)})}var div_1=sibling(node_1,2),node_2=child(div_1);Button(node_2,{type:"button",size:"sm",variant:"secondary",get onclick(){return $$props.onCancel},children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8("Cancel");append($$anchor2,text_1)},$$slots:{default:!0}});var node_3=sibling(node_2,2);{let $0=user_derived(()=>!get$3(isComplete));Button(node_3,{size:"sm",type:"\ -submit",get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_2=text$8("Read Resource");append($$anchor2,text_2)},$$slots:{default:!0}})}reset(div_1),reset(form),event("submit",form,handleSubmit),append($$anchor,form),pop()}var root_5$r=from_html(" ",1),root_2$W=from_html('
        ',1);function DialogMcpServerAddNew($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),newServerUrl=state$1(""),newServerHeaders=state$1( -""),newServerUrlError=user_derived(()=>{if(!get$3(newServerUrl).trim())return"URL is required";try{return new URL(get$3(newServerUrl)),null}catch{return"Invalid URL format"}});function handleOpenChange(value){value||(set$1(newServerUrl,""),set$1(newServerHeaders,"")),open2(value),$$props.onOpenChange?.(value)}function saveNewServer(){if(get$3(newServerUrlError))return;const newServerId=uuid$1()??`${MCP_SERVER_ID_PREFIX}-${Date.now()}`;mcpStore.addServer({id:newServerId,enabled:!0,url:get$3(newServerUrl). -trim(),headers:get$3(newServerHeaders).trim()||void 0}),conversationsStore.setMcpServerOverride(newServerId,!0),handleOpenChange(!1)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4, -{class:"sm:max-w-md",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$W(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Add New Server");append($$anchor9,text2)},$$slots:{default:!0}})}), -append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),node_4=child(div);{let $0=user_derived(()=>get$3(newServerUrl)?get$3(newServerUrlError):null);McpServerForm(node_4,{get url(){return get$3(newServerUrl)},get headers(){return get$3(newServerHeaders)},onUrlChange:v=>set$1(newServerUrl,v,!0),onHeadersChange:v=>set$1(newServerHeaders,v,!0),get urlError(){return get$3($0)},id:"new-server"})}reset(div);var node_5=sibling(div,2);component(node_5,()=>Dialog_footer,($$anchor6,Dialog_Footer)=>{ -Dialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_4=root_5$r(),node_6=first_child(fragment_4);Button(node_6,{variant:"secondary",size:"sm",onclick:()=>handleOpenChange(!1),children:($$anchor8,$$slotProps4)=>{next$1();var text_1=text$8("Cancel");append($$anchor8,text_1)},$$slots:{default:!0}});var node_7=sibling(node_6,2);{let $0=user_derived(()=>!!get$3(newServerUrlError));Button(node_7,{variant:"default",size:"sm",onclick:saveNewServer,get disabled(){return get$3($0)},"a\ -ria-label":"Save",children:($$anchor8,$$slotProps4)=>{next$1();var text_2=text$8("Add");append($$anchor8,text_2)},$$slots:{default:!0}})}append($$anchor7,fragment_4)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$s=from_html(" ",1),root_3$G=from_html(" ",1),root_8$l=from_html(" ",1),root_2$V=from_html(" ",1);function DialogConfirmation($$anchor,$$props){ -push$1($$props,!0);let confirmText=prop($$props,"confirmText",3,"Confirm"),cancelText=prop($$props,"cancelText",3,"Cancel"),variant=prop($$props,"variant",3,"default");function handleKeydown(event2){event2.key===KeyboardKey.ENTER&&(event2.preventDefault(),$$props.onConfirm()),$$props.onKeydown?.(event2)}function handleOpenChange(newOpen){newOpen||$$props.onCancel()}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2, -{get open(){return $$props.open},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{onkeydown:handleKeydown,children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$V(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{ -var fragment_3=root_3$G(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$s(),node_4=first_child(fragment_4);{var consequent=$$anchor10=>{const IconComponent=user_derived(()=>$$props.icon);var fragment_5=comment$2(),node_5=first_child(fragment_5);{let $0=user_derived(()=>variant()==="destructive"?"text-destructive":"");component( -node_5,()=>get$3(IconComponent),($$anchor11,IconComponent_1)=>{IconComponent_1($$anchor11,{get class(){return`h-5 w-5 ${get$3($0)??""}`}})})}append($$anchor10,fragment_5)};if_block(node_4,$$render=>{$$props.icon&&$$render(consequent)})}var text2=sibling(node_4);template_effect(()=>set_text(text2,` ${$$props.title??""}`)),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(node_6,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description( -$$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,$$props.description)),append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_7=sibling(node_2,2);{var consequent_1=$$anchor6=>{var fragment_7=comment$2(),node_8=first_child(fragment_7);snippet(node_8,()=>$$props.children),append($$anchor6,fragment_7)};if_block(node_7,$$render=>{$$props.children&&$$render(consequent_1)})}var node_9=sibling( -node_7,2);component(node_9,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_8=root_8$l(),node_10=first_child(fragment_8);component(node_10,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{get onclick(){return $$props.onCancel},children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8();template_effect(()=>set_text(text_2,cancelText())),append($$anchor9,text_2)},$$slots:{ -default:!0}})});var node_11=sibling(node_10,2);{let $0=user_derived(()=>variant()==="destructive"?"bg-destructive text-white hover:bg-destructive/80":"");component(node_11,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{get onclick(){return $$props.onConfirm},get class(){return get$3($0)},children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8();template_effect(()=>set_text(text_3,confirmText())),append($$anchor9,text_3)},$$slots:{default:!0}})})}append( -$$anchor7,fragment_8)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_3$F=from_html(" ",1),root_6$o=from_html(" ",1),root_2$U=from_html('

        Current title:

        New title would be:

        ',1);function DialogConversationTitleUpdate($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{ -var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$U(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$F(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{ -AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Update Conversation Title?");append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Do you want to update the conversation title to match the first message content?");append($$anchor9,text_1)},$$slots:{ -default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),p2=sibling(child(div_1),2),text_2=child(p2,!0);reset(p2),reset(div_1);var div_2=sibling(div_1,2),p_1=sibling(child(div_2),2),text_3=child(p_1,!0);reset(p_1),reset(div_2),reset(div);var node_5=sibling(div,2);component(node_5,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_4=root_6$o(),node_6=first_child( -fragment_4);Button(node_6,{variant:"outline",get onclick(){return $$props.onCancel},children:($$anchor8,$$slotProps4)=>{next$1();var text_4=text$8("Keep Current Title");append($$anchor8,text_4)},$$slots:{default:!0}});var node_7=sibling(node_6,2);Button(node_7,{get onclick(){return $$props.onConfirm},children:($$anchor8,$$slotProps4)=>{next$1();var text_5=text$8("Update Title");append($$anchor8,text_5)},$$slots:{default:!0}}),append($$anchor7,fragment_4)},$$slots:{default:!0}})}),template_effect( -()=>{set_text(text_2,$$props.currentTitle),set_text(text_3,$$props.newTitle)}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$r=from_html(' Close preview',1),root_3$E=from_html(' ',1),root_2$T=from_html(" ",1);function DialogCodePreview($$anchor,$$props){push$1($$props,!0);let open2=prop( -$$props,"open",15),iframeRef=state$1(null);user_effect(()=>{get$3(iframeRef)&&(open2()?get$3(iframeRef).srcdoc=$$props.code:get$3(iframeRef).srcdoc="")});function handleOpenChange(nextOpen){open2(nextOpen),$$props.onOpenChange?.(nextOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Dialog,($$anchor2,DialogPrimitive_Root)=>{DialogPrimitive_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(), -node_1=first_child(fragment_1);component(node_1,()=>Portal$2,($$anchor4,DialogPrimitive_Portal)=>{DialogPrimitive_Portal($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$T(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_overlay$1,($$anchor6,DialogPrimitive_Overlay)=>{DialogPrimitive_Overlay($$anchor6,{class:"code-preview-overlay"})});var node_3=sibling(node_2,2);component(node_3,()=>Dialog_content$1,($$anchor6,DialogPrimitive_Content)=>{DialogPrimitive_Content($$anchor6, -{class:"code-preview-content",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$E(),iframe=first_child(fragment_3);bind_this(iframe,$$value=>set$1(iframeRef,$$value),()=>get$3(iframeRef));var node_4=sibling(iframe,2);component(node_4,()=>Dialog_close,($$anchor8,DialogPrimitive_Close)=>{DialogPrimitive_Close($$anchor8,{class:"code-preview-close absolute top-4 right-4 border-none bg-transparent text-white opacity-70 mix-blend-difference transition-opacity hover:opacity-100 focus-visible:ri\ -ng-0 focus-visible:ring-offset-0 focus-visible:outline-none disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-8","aria-label":"Close preview",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$r(),node_5=first_child(fragment_4);X(node_5,{}),next$1(2),append($$anchor9,fragment_4)},$$slots:{default:!0}})}),template_effect(()=>set_attribute(iframe,"title",`Preview ${$$props.language??""}`)),append($$anchor7,fragment_3)},$$slots:{default:!0}})}), -append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_3$D=from_html(" ",1),root_2$S=from_html(" ",1);function DialogChatAttachmentPreview($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),chatAttachmentPreviewRef=state$1(void 0),displayName=user_derived(()=>$$props.uploadedFile?.name||$$props.attachment?.name||$$props.name||"Unknown File"),displaySize=user_derived(()=>$$props. -uploadedFile?.size||$$props.size);user_effect(()=>{open2()&&get$3(chatAttachmentPreviewRef)&&get$3(chatAttachmentPreviewRef).reset()});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content, -($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$S(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$D(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{class:"pr-8", -children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,get$3(displayName))),append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_5=comment$2(),node_5=first_child(fragment_5);{var consequent=$$anchor10=>{var text_1=text$8();template_effect($0=>set_text(text_1,$0),[()=>formatFileSize( -get$3(displaySize))]),append($$anchor10,text_1)};if_block(node_5,$$render=>{get$3(displaySize)&&$$render(consequent)})}append($$anchor9,fragment_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_6=sibling(node_2,2);bind_this(ChatAttachmentPreview(node_6,{get uploadedFile(){return $$props.uploadedFile},get attachment(){return $$props.attachment},get preview(){return $$props.preview},get name(){return get$3(displayName)},get textContent(){return $$props.textContent}, -get activeModelId(){return $$props.activeModelId}}),$$value=>set$1(chatAttachmentPreviewRef,$$value,!0),()=>get$3(chatAttachmentPreviewRef)),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$q=from_html(" ",1),root_3$C=from_html(" ",1),root_2$R=from_html(" ",1);function DialogChatAttachmentsViewAll($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),uploadedFiles=prop( -$$props,"uploadedFiles",19,()=>[]),attachments=prop($$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),imageClass=prop($$props,"imageClass",3,""),totalCount=user_derived(()=>uploadedFiles().length+attachments().length);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},set open($$value){ -open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal$1,($$anchor4,Dialog_Portal)=>{Dialog_Portal($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$R(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_overlay,($$anchor6,Dialog_Overlay)=>{Dialog_Overlay($$anchor6,{})});var node_3=sibling(node_2,2);component(node_3,()=>Dialog_content,($$anchor6,Dialog_Content)=>{Dialog_Content($$anchor6, -{class:"flex !max-h-[90vh] !max-w-6xl flex-col",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$C(),node_4=first_child(fragment_3);component(node_4,()=>Dialog_header,($$anchor8,Dialog_Header)=>{Dialog_Header($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$q(),node_5=first_child(fragment_4);component(node_5,()=>Dialog_title,($$anchor10,Dialog_Title)=>{Dialog_Title($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text2=text$8();template_effect(()=>set_text( -text2,`All Attachments (${get$3(totalCount)??""})`)),append($$anchor11,text2)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Dialog_description,($$anchor10,Dialog_Description)=>{Dialog_Description($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text_1=text$8("View and manage all attached files");append($$anchor11,text_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_7=sibling(node_4,2);ChatAttachmentsViewAll(node_7, -{get uploadedFiles(){return uploadedFiles()},get attachments(){return attachments()},get readonly(){return readonly2()},get onFileRemove(){return $$props.onFileRemove},get imageHeight(){return imageHeight()},get imageWidth(){return imageWidth()},get imageClass(){return imageClass()},get activeModelId(){return $$props.activeModelId}}),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}), -append($$anchor,fragment),pop()}var root_4$p=from_html(" ",1),root_3$B=from_html(" ",1),root_9$h=from_html('

        Context size:

        '),root_8$k=from_html('

        Prompt tokens:

        '),root_2$Q=from_html('

        ',1);function DialogChatError($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);const isTimeout=user_derived( -()=>$$props.type===ErrorDialogType.TIMEOUT),title2=user_derived(()=>get$3(isTimeout)?"TCP Timeout":"Server Error"),description2=user_derived(()=>get$3(isTimeout)?"The request did not receive a response from the server before timing out.":"The server responded with an error message. Review the details below."),iconClass=user_derived(()=>get$3(isTimeout)?"text-destructive":"text-amber-500"),badgeClass=user_derived(()=>get$3(isTimeout)?"border-destructive/40 bg-destructive/10 text-destructive":"bor\ -der-amber-500/40 bg-amber-500/10 text-amber-600 dark:text-amber-400");function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{ -AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$Q(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$B(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$p(), -node_4=first_child(fragment_4);{var consequent=$$anchor10=>{{let $0=user_derived(()=>`h-5 w-5 ${get$3(iconClass)}`);Timer_off($$anchor10,{get class(){return get$3($0)}})}},alternate=$$anchor10=>{{let $0=user_derived(()=>`h-5 w-5 ${get$3(iconClass)}`);Triangle_alert($$anchor10,{get class(){return get$3($0)}})}};if_block(node_4,$$render=>{get$3(isTimeout)?$$render(consequent):$$render(alternate,-1)})}var text2=sibling(node_4);template_effect(()=>set_text(text2,` ${get$3(title2)??""}`)),append($$anchor9, -fragment_4)},$$slots:{default:!0}})});var node_5=sibling(node_3,2);component(node_5,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$3(description2))),append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),p2=child(div),text_2=child(p2,!0);reset(p2);var node_6=sibling( -p2,2);{var consequent_2=$$anchor6=>{var div_1=root_8$k(),p_1=child(div_1),text_3=sibling(child(p_1));reset(p_1);var node_7=sibling(p_1,2);{var consequent_1=$$anchor7=>{var p_2=root_9$h(),text_4=sibling(child(p_2));reset(p_2),template_effect($0=>set_text(text_4,` ${$0??""}`),[()=>$$props.contextInfo.n_ctx.toLocaleString()]),append($$anchor7,p_2)};if_block(node_7,$$render=>{$$props.contextInfo.n_ctx&&$$render(consequent_1)})}reset(div_1),template_effect($0=>set_text(text_3,` ${$0??""}`),[()=>$$props. -contextInfo.n_prompt_tokens.toLocaleString()]),append($$anchor6,div_1)};if_block(node_6,$$render=>{$$props.contextInfo&&$$render(consequent_2)})}reset(div);var node_8=sibling(div,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_8=comment$2(),node_9=first_child(fragment_8);component(node_9,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:()=>handleOpenChange( -!1),children:($$anchor9,$$slotProps4)=>{next$1();var text_5=text$8("Close");append($$anchor9,text_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_8)},$$slots:{default:!0}})}),template_effect(()=>{set_class(div,1,`rounded-lg border px-4 py-3 text-sm ${get$3(badgeClass)}`),set_text(text_2,$$props.message)}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$o=from_html(" Empty Files Dete\ -cted",1),root_3$A=from_html(" ",1),root_6$n=from_html('
        2. '),root_2$P=from_html('
        Empty Files:
          What happened:
          • Empty files cannot be processed or sent to the AI model\ -
          • These files have been automatically removed from your attachments
          • You can try uploading files with content instead
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          Select an available model:

          '),root_2$O=from_html('

          Requested:\ -

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          \ -Loading model information...
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-serverName},attachment=mcpResourceStore.addAttachment(resourceInfo);mcpResourceStore.updateAttachmentContent(attachment.id,get$3(templatePreviewContent)),toast.success(`Resource attached: ${resourceInfo.name}`)}handleOpenChange(!1)}catch(error2){console.error("Failed to attach template resource:",error2)}finally{set$1(isAttaching,!1)}}}function handleResourceSelect(resource,shiftKey=!1){if(clearTemplateState(),shiftKey&&get$3(lastSelectedUri)){const allResources=getAllResourcesFlatInTreeOrder(), -lastIndex=allResources.findIndex(r2=>r2.uri===get$3(lastSelectedUri)),currentIndex=allResources.findIndex(r2=>r2.uri===resource.uri);if(lastIndex!==-1&¤tIndex!==-1){const start2=Math.min(lastIndex,currentIndex),end=Math.max(lastIndex,currentIndex);for(let i=start2;i<=end;i++)selectedResources.add(allResources[i].uri)}}else selectedResources.clear(),selectedResources.add(resource.uri),set$1(lastSelectedUri,resource.uri,!0)}function handleResourceToggle(resource,checked){clearTemplateState(), -checked?selectedResources.add(resource.uri):selectedResources.delete(resource.uri),set$1(lastSelectedUri,resource.uri,!0)}function getAllResourcesFlatInTreeOrder(){const allResources=[],resourcesMap=mcpResources();for(const[serverName,serverRes]of resourcesMap.entries())for(const resource of serverRes.resources)allResources.push({...resource,serverName});return allResources.sort((a,b)=>{const aName=getResourceDisplayName(a),bName=getResourceDisplayName(b);return aName.localeCompare(bName)})}async function handleAttach(){ -if(selectedResources.size!==0){set$1(isAttaching,!0);try{const resourcesToAttach=getAllResourcesFlatInTreeOrder().filter(r2=>selectedResources.has(r2.uri));for(const resource of resourcesToAttach)await mcpStore.attachResource(resource.uri),$$props.onAttach?.(resource);const count=resourcesToAttach.length;toast.success(count===1?`Resource attached: ${resourcesToAttach[0].name}`:`${count} resources attached`),handleOpenChange(!1)}catch(error2){console.error("Failed to attach resources:",error2)}finally{ -set$1(isAttaching,!1)}}}const selectedTemplateUri=user_derived(()=>get$3(selectedTemplate)?.uriTemplate??null),hasTemplateResult=user_derived(()=>!!get$3(selectedTemplate)&&!!get$3(templatePreviewContent)&&!!get$3(templatePreviewUri));var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child( -fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"max-h-[80vh] !max-w-4xl overflow-hidden p-0",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$L(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{class:"border-b border-border/30 px-6 py-4",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$w(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title, -($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$l(),node_4=first_child(fragment_4);Folder_open(node_4,{class:"h-5 w-5"});var node_5=sibling(node_4,4);{var consequent=$$anchor10=>{var span=root_5$q(),text2=child(span);reset(span),template_effect(()=>set_text(text2,`(${get$3(totalCount)??""})`)),append($$anchor10,span)};if_block(node_5,$$render=>{get$3(totalCount)>0&&$$render(consequent)})}append($$anchor9, -fragment_4)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(node_6,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Browse and attach resources from connected MCP servers to your chat context.");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),node_7=child(div_1);McpResourceBrowser( -node_7,{onSelect:handleResourceSelect,onToggle:handleResourceToggle,onTemplateSelect:handleTemplateSelect,get selectedUris(){return selectedResources},get selectedTemplateUri(){return get$3(selectedTemplateUri)},get expandToUri(){return $$props.preSelectedUri}}),reset(div_1);var div_2=sibling(div_1,2),node_8=child(div_2);{var consequent_4=$$anchor6=>{var div_3=root_7$l(),div_4=child(div_3),node_9=child(div_4);Braces(node_9,{class:"h-4 w-4 text-muted-foreground"});var span_1=sibling(node_9,2),text_2=child( -span_1,!0);reset(span_1),reset(div_4);var node_10=sibling(div_4,2);{var consequent_1=$$anchor7=>{var p2=root_8$j(),text_3=child(p2,!0);reset(p2),template_effect(()=>set_text(text_3,get$3(selectedTemplate).description)),append($$anchor7,p2)};if_block(node_10,$$render=>{get$3(selectedTemplate).description&&$$render(consequent_1)})}var div_5=sibling(node_10,2),p_1=child(div_5),text_4=child(p_1,!0);reset(p_1),reset(div_5);var node_11=sibling(div_5,2);{var consequent_2=$$anchor7=>{var div_6=root_9$f(), -node_12=child(div_6);Loader_circle(node_12,{class:"h-6 w-6 animate-spin text-muted-foreground"}),reset(div_6),append($$anchor7,div_6)},consequent_3=$$anchor7=>{var div_7=root_10$e(),span_2=child(div_7),text_5=child(span_2,!0);reset(span_2);var node_13=sibling(span_2,2);Button(node_13,{size:"sm",variant:"outline",onclick:()=>{set$1(templatePreviewError,null)},children:($$anchor8,$$slotProps3)=>{next$1();var text_6=text$8("Try again");append($$anchor8,text_6)},$$slots:{default:!0}}),reset(div_7),template_effect( -()=>set_text(text_5,get$3(templatePreviewError))),append($$anchor7,div_7)},alternate=$$anchor7=>{McpResourceTemplateForm($$anchor7,{get template(){return get$3(selectedTemplate)},onResolve:handleTemplateResolve,onCancel:handleTemplateCancelForm})};if_block(node_11,$$render=>{get$3(templatePreviewLoading)?$$render(consequent_2):get$3(templatePreviewError)?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_3),template_effect(()=>{set_text(text_2,get$3(selectedTemplate).title||get$3(selectedTemplate). -name),set_text(text_4,get$3(selectedTemplate).uriTemplate)}),append($$anchor6,div_3)},consequent_5=$$anchor6=>{{let $0=user_derived(()=>({uri:get$3(templatePreviewUri)??"",name:get$3(templatePreviewUri)?.split("/").pop()||(get$3(templatePreviewUri)??""),serverName:get$3(selectedTemplate)?.serverName||""}));McpResourcePreview($$anchor6,{get resource(){return get$3($0)},get preloadedContent(){return get$3(templatePreviewContent)}})}},consequent_6=$$anchor6=>{const allResources=user_derived(getAllResourcesFlatInTreeOrder), -selectedResource=user_derived(()=>get$3(allResources).find(r2=>selectedResources.has(r2.uri)));{let $0=user_derived(()=>get$3(selectedResource)??null);McpResourcePreview($$anchor6,{get resource(){return get$3($0)}})}},consequent_8=$$anchor6=>{var div_8=root_15$8();each(div_8,21,getAllResourcesFlatInTreeOrder,resource=>resource.uri,($$anchor7,resource)=>{var fragment_8=comment$2(),node_14=first_child(fragment_8);{var consequent_7=$$anchor8=>{McpResourcePreview($$anchor8,{get resource(){return get$3( -resource)}})},d2=user_derived(()=>selectedResources.has(get$3(resource).uri));if_block(node_14,$$render=>{get$3(d2)&&$$render(consequent_7)})}append($$anchor7,fragment_8)}),reset(div_8),append($$anchor6,div_8)},alternate_1=$$anchor6=>{var div_9=root_18$5();append($$anchor6,div_9)};if_block(node_8,$$render=>{get$3(selectedTemplate)&&!get$3(templatePreviewContent)?$$render(consequent_4):get$3(hasTemplateResult)?$$render(consequent_5,1):selectedResources.size===1?$$render(consequent_6,2):selectedResources. -size>1?$$render(consequent_8,3):$$render(alternate_1,-1)})}reset(div_2),reset(div);var node_15=sibling(div,2);component(node_15,()=>Dialog_footer,($$anchor6,Dialog_Footer)=>{Dialog_Footer($$anchor6,{class:"border-t border-border/30 px-6 py-4",children:($$anchor7,$$slotProps3)=>{var fragment_10=root_19$7(),node_16=first_child(fragment_10);Button(node_16,{variant:"outline",onclick:()=>handleOpenChange(!1),children:($$anchor8,$$slotProps4)=>{next$1();var text_7=text$8("Cancel");append($$anchor8,text_7)}, -$$slots:{default:!0}});var node_17=sibling(node_16,2);{var consequent_10=$$anchor8=>{Button($$anchor8,{onclick:handleAttachTemplateResource,get disabled(){return get$3(isAttaching)},children:($$anchor9,$$slotProps4)=>{var fragment_12=root_22$1(),node_18=first_child(fragment_12);{var consequent_9=$$anchor10=>{Loader_circle($$anchor10,{class:"mr-2 h-4 w-4 animate-spin"})},alternate_2=$$anchor10=>{Plus($$anchor10,{class:"mr-2 h-4 w-4"})};if_block(node_18,$$render=>{get$3(isAttaching)?$$render(consequent_9): -$$render(alternate_2,-1)})}next$1(),append($$anchor9,fragment_12)},$$slots:{default:!0}})},alternate_4=$$anchor8=>{{let $0=user_derived(()=>selectedResources.size===0||get$3(isAttaching));Button($$anchor8,{onclick:handleAttach,get disabled(){return get$3($0)},children:($$anchor9,$$slotProps4)=>{var fragment_16=root_26$1(),node_19=first_child(fragment_16);{var consequent_11=$$anchor10=>{Loader_circle($$anchor10,{class:"mr-2 h-4 w-4 animate-spin"})},alternate_3=$$anchor10=>{Plus($$anchor10,{class:"\ -mr-2 h-4 w-4"})};if_block(node_19,$$render=>{get$3(isAttaching)?$$render(consequent_11):$$render(alternate_3,-1)})}var text_8=sibling(node_19);template_effect(()=>set_text(text_8,` Attach ${selectedResources.size>0?`(${selectedResources.size})`:"Resource"}`)),append($$anchor9,fragment_16)},$$slots:{default:!0}})}};if_block(node_17,$$render=>{get$3(hasTemplateResult)?$$render(consequent_10):$$render(alternate_4,-1)})}append($$anchor7,fragment_10)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)}, -$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_7$k=from_html(''),root_6$k=from_html('· '),root_8$i=from_html(' '),root_5$p=from_html('
          '), -root_3$v=from_html(" ",1),root_10$d=from_html('
          '),root_12$8=from_html('
          '),root_13$8=from_html('
          No content available
          '),root_2$K=from_html('
          ',1);function DialogMcpResourcePreview($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);const serverName=user_derived(()=>mcpStore.getServerDisplayName($$props.extra.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.extra.serverName));function getLanguage(){if($$props.extra.mimeType?.includes(MimeTypeIncludes.JSON))return MimeTypeIncludes.JSON;if($$props.extra.mimeType?.includes(MimeTypeIncludes. -JAVASCRIPT))return MimeTypeIncludes.JAVASCRIPT;if($$props.extra.mimeType?.includes(MimeTypeIncludes.TYPESCRIPT))return MimeTypeIncludes.TYPESCRIPT;const name=$$props.extra.name||$$props.extra.uri||"";return getLanguageFromFilename(name)||"plaintext"}function handleDownload(){$$props.extra.content&&downloadResourceContent($$props.extra.content,$$props.extra.mimeType||MimeTypeText.PLAIN,$$props.extra.name||DEFAULT_RESOURCE_FILENAME)}var fragment=comment$2(),node2=first_child(fragment);component(node2, -()=>Root$4,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$K(),node_2=first_child( -fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$v(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{class:"pr-8",children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.extra.name)),append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component( -node_4,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{var div=root_5$p(),span=child(div),text_1=child(span,!0);reset(span);var node_5=sibling(span,2);{var consequent_1=$$anchor10=>{var span_1=root_6$k(),node_6=sibling(child(span_1));{var consequent=$$anchor11=>{var img=root_7$k();template_effect(()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append( -$$anchor11,img)};if_block(node_6,$$render=>{get$3(favicon)&&$$render(consequent)})}var text_2=sibling(node_6);reset(span_1),template_effect(()=>set_text(text_2,` ${get$3(serverName)??""}`)),append($$anchor10,span_1)};if_block(node_5,$$render=>{get$3(serverName)&&$$render(consequent_1)})}var node_7=sibling(node_5,2);{var consequent_2=$$anchor10=>{var span_2=root_8$i(),text_3=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_3,$$props.extra.mimeType)),append($$anchor10,span_2)};if_block( -node_7,$$render=>{$$props.extra.mimeType&&$$render(consequent_2)})}reset(div),template_effect(()=>set_text(text_1,$$props.extra.uri)),append($$anchor9,div)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div_1=sibling(node_2,2),node_8=child(div_1);{let $0=user_derived(()=>!!$$props.extra.content);ActionIconCopyToClipboard(node_8,{get text(){return $$props.extra.content},get canCopy(){return get$3($0)},ariaLabel:"Copy content"})}var node_9=sibling(node_8,2);{let $0=user_derived( -()=>!$$props.extra.content);Button(node_9,{variant:"ghost",size:"sm",class:"h-7 w-7 p-0",onclick:handleDownload,get disabled(){return get$3($0)},title:"Download content",children:($$anchor6,$$slotProps3)=>{Download($$anchor6,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})}reset(div_1);var div_2=sibling(div_1,2),node_10=child(div_2);{var consequent_3=$$anchor6=>{var div_3=root_10$d(),img_1=child(div_3);reset(div_3),template_effect($0=>{set_attribute(img_1,"src",$0),set_attribute(img_1,"alt",$$props. -extra.name)},[()=>$$props.extra.content.startsWith("data:")?$$props.extra.content:`data:${$$props.extra.mimeType||"image/png"};base64,${$$props.extra.content}`]),append($$anchor6,div_3)},d2=user_derived(()=>isImageResource($$props.extra.mimeType,$$props.extra.uri)&&$$props.extra.content),consequent_4=$$anchor6=>{{let $0=user_derived(getLanguage);SyntaxHighlightedCode($$anchor6,{get code(){return $$props.extra.content},get language(){return get$3($0)},maxHeight:"70vh"})}},d_12=user_derived(()=>isCodeResource( -$$props.extra.mimeType,$$props.extra.uri)&&$$props.extra.content),consequent_5=$$anchor6=>{var pre=root_12$8(),text_4=child(pre,!0);reset(pre),template_effect(()=>set_text(text_4,$$props.extra.content)),append($$anchor6,pre)},alternate=$$anchor6=>{var div_4=root_13$8();append($$anchor6,div_4)};if_block(node_10,$$render=>{get$3(d2)?$$render(consequent_3):get$3(d_12)?$$render(consequent_4,1):$$props.extra.content?$$render(consequent_5,2):$$render(alternate,-1)})}reset(div_2),append($$anchor5,fragment_2)}, -$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}class PermissionsStore{#_tools=state$1(proxy(new SvelteSet));get _tools(){return get$3(this.#_tools)}set _tools(value){set$1(this.#_tools,value,!0)}constructor(){try{const stored=localStorage.getItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY);if(stored)for(const name of JSON.parse(stored))typeof name=="string"&&this._tools.add(name)}catch(err){console.error(`Failed to load permissions from\ - localStorage ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,err)}}get tools(){return this._tools}hasTool(key2){return this._tools.has(key2)}allowTool(key2){this._tools.add(key2),this._persist()}allowTools(keys2){for(const key2 of keys2)this._tools.add(key2);this._persist()}revokeTool(key2){this._tools.delete(key2),this._persist()}_persist(){try{localStorage.setItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY,JSON.stringify([...this._tools]))}catch(err){console.error(`Failed to persist to localStorage\ - ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,err)}}}const permissionsStore=new PermissionsStore;function createDefaultSession(){return{isRunning:!1,currentTurn:0,totalToolCalls:0,lastError:null,streamingToolCall:null,pendingPermissionRequest:null}}function toAgenticMessages(messages){return messages.map(message=>message.role===MessageRole.ASSISTANT&&message.tool_calls&&message.tool_calls.length>0?{role:MessageRole.ASSISTANT,content:message.content,reasoning_content:message.reasoning_content,tool_calls:message. -tool_calls.map((call,index2)=>({id:call.id??`call_${index2}`,type:call.type??ToolCallType.FUNCTION,function:{name:call.function?.name??"",arguments:call.function?.arguments??""}}))}:message.role===MessageRole.ASSISTANT?{role:MessageRole.ASSISTANT,content:message.content,reasoning_content:message.reasoning_content}:message.role===MessageRole.TOOL&&message.tool_call_id?{role:MessageRole.TOOL,tool_call_id:message.tool_call_id,content:typeof message.content=="string"?message.content:""}:{role:message. -role,content:message.content})}class AgenticStore{_sessions=new SvelteMap;_pendingPermissions=new SvelteMap;_permissionResolvers=new Map;_pendingContinueRequests=new SvelteMap;_continueResolvers=new Map;_steeringMessages=new SvelteMap;get isReady(){return!0}get isAnyRunning(){for(const session of this._sessions.values())if(session.isRunning)return!0;return!1}getSession(conversationId){let session=this._sessions.get(conversationId);return session||(session=createDefaultSession(),this._sessions.set( -conversationId,session)),session}updateSession(conversationId,update2){const session=this.getSession(conversationId);this._sessions.set(conversationId,{...session,...update2})}clearSession(conversationId){this._sessions.delete(conversationId)}getActiveSessions(){const active=[];for(const[conversationId,session]of this._sessions.entries())session.isRunning&&active.push({conversationId,session});return active}isRunning(conversationId){return this.getSession(conversationId).isRunning}currentTurn(conversationId){ -return this.getSession(conversationId).currentTurn}totalToolCalls(conversationId){return this.getSession(conversationId).totalToolCalls}lastError(conversationId){return this.getSession(conversationId).lastError}streamingToolCall(conversationId){return this.getSession(conversationId).streamingToolCall}pendingPermissionRequest(conversationId){return this._pendingPermissions.get(conversationId)??null}pendingContinueRequest(conversationId){return this._pendingContinueRequests.get(conversationId)??!1}resolveContinue(conversationId,shouldContinue){ -const resolver2=this._continueResolvers.get(conversationId);resolver2&&(this._continueResolvers.delete(conversationId),resolver2(shouldContinue))}resolvePermission(conversationId,decision){const resolver2=this._permissionResolvers.get(conversationId);resolver2&&(this._permissionResolvers.delete(conversationId),resolver2(decision))}clearError(conversationId){this.updateSession(conversationId,{lastError:null})}hasPendingSteeringMessage(conversationId){return this._steeringMessages.has(conversationId)}pendingSteeringMessageContent(conversationId){ -return this._steeringMessages.get(conversationId)?.content??null}pendingSteeringMessageExtras(conversationId){return this._steeringMessages.get(conversationId)?.extras}injectSteeringMessage(conversationId,content2,extras){this._steeringMessages.set(conversationId,{content:content2,extras})}clearSteeringMessage(conversationId){this._steeringMessages.delete(conversationId)}consumePendingSteeringMessage(conversationId){const msg=this._steeringMessages.get(conversationId);return msg?(this._steeringMessages. -delete(conversationId),msg):null}getConfig(settings,perChatOverrides){const maxTurns=Number(settings.agenticMaxTurns)||DEFAULT_AGENTIC_CONFIG.maxTurns,maxToolPreviewLines=Number(settings.agenticMaxToolPreviewLines)||DEFAULT_AGENTIC_CONFIG.maxToolPreviewLines;return{enabled:(mcpStore.hasEnabledServers(perChatOverrides)||toolsStore.builtinTools.length>0||toolsStore.customTools.length>0)&&DEFAULT_AGENTIC_CONFIG.enabled,maxTurns,maxToolPreviewLines}}parseToolArguments(args){if(typeof args=="object") -return args;const trimmed=args.trim();return trimmed===""?{}:JSON.parse(trimmed)}async requestPermission(conversationId,toolName,serverLabel,signal){const permissionKey=toolsStore.getPermissionKey(toolName);return permissionKey&&permissionsStore.hasTool(permissionKey)?ToolPermissionDecision.ONCE:(this._pendingPermissions.set(conversationId,{toolName,serverLabel}),new Promise(resolve2=>{if(signal?.aborted){this._pendingPermissions.set(conversationId,null),resolve2(ToolPermissionDecision.DENY);return} -this._permissionResolvers.set(conversationId,decision=>{if(this._pendingPermissions.set(conversationId,null),decision===ToolPermissionDecision.ALWAYS&&permissionKey)permissionsStore.allowTool(permissionKey);else if(decision===ToolPermissionDecision.ALWAYS_SERVER){const serverToolKeys=toolsStore.allTools.filter(t=>t.serverName?t.serverName===serverLabel:toolsStore.getToolServerLabel(t.definition.function.name)===serverLabel).map(t=>toolsStore.getPermissionKey(t.definition.function.name)).filter(k=>k!== -null);permissionsStore.allowTools(serverToolKeys)}resolve2(decision)}),signal?.addEventListener("abort",()=>{this._permissionResolvers.get(conversationId)&&(this._permissionResolvers.delete(conversationId),this._pendingPermissions.set(conversationId,null),resolve2(ToolPermissionDecision.DENY))},{once:!0})}))}async requestContinue(conversationId,signal){return this._pendingContinueRequests.set(conversationId,!0),new Promise(resolve2=>{if(signal?.aborted){this._pendingContinueRequests.set(conversationId, -!1),resolve2(!1);return}this._continueResolvers.set(conversationId,shouldContinue=>{this._pendingContinueRequests.set(conversationId,!1),resolve2(shouldContinue)}),signal?.addEventListener("abort",()=>{this._continueResolvers.get(conversationId)&&(this._continueResolvers.delete(conversationId),this._pendingContinueRequests.set(conversationId,!1),resolve2(!1))},{once:!0})})}async runAgenticFlow(params){const{conversationId,messages,options={},callbacks,signal,perChatOverrides}=params;this._pendingPermissions. -set(conversationId,null),this._permissionResolvers.delete(conversationId),this._pendingContinueRequests.set(conversationId,!1),this._continueResolvers.delete(conversationId),this._steeringMessages.delete(conversationId),toolsStore.builtinTools.length===0&&!toolsStore.loading&&await toolsStore.fetchBuiltinTools();const agenticConfig=this.getConfig(config$1(),perChatOverrides);if(!agenticConfig.enabled)return{handled:!1};const hasMcpServers=mcpStore.hasEnabledServers(perChatOverrides);hasMcpServers&& -(await mcpStore.ensureInitialized(perChatOverrides)||console.log("[AgenticStore] MCP not initialized"));const tools=toolsStore.getEnabledToolsForLLM();if(tools.length===0)return console.log("[AgenticStore] No tools available, falling back to standard chat"),{handled:!1};console.log(`[AgenticStore] Starting agentic flow with ${tools.length} tools`);const normalizedMessages=messages.map(msg=>"id"in msg&&"convId"in msg&&"timestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter( -msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);this.updateSession(conversationId,{isRunning:!0,currentTurn:0,totalToolCalls:0,lastError:null}),hasMcpServers&&mcpStore.acquireConnection();try{return await this.executeAgenticLoop({conversationId,messages:normalizedMessages,options,tools,agenticConfig,callbacks,signal}),{handled:!0}}catch(error2){const normalizedError=error2 instanceof Error?error2:new Error(String(error2));return this.updateSession( -conversationId,{lastError:normalizedError}),callbacks.onError?.(normalizedError),{handled:!0,error:normalizedError}}finally{this.updateSession(conversationId,{isRunning:!1}),hasMcpServers&&await mcpStore.releaseConnection().catch(err=>console.warn("[AgenticStore] Failed to release MCP connection:",err))}}async executeAgenticLoop(params){const{conversationId,messages,options,tools,agenticConfig,callbacks,signal}=params,{onChunk,onReasoningChunk,onToolCallsStreaming,onAttachments,onModel,onAssistantTurnComplete, -createToolResultMessage,createAssistantMessage,onFlowComplete,onTimings,onTurnComplete}=callbacks,sessionMessages=toAgenticMessages(messages);let capturedTimings,totalToolCallCount=0;const agenticTimings={turns:0,toolCallsCount:0,toolsMs:0,toolCalls:[],perTurn:[],llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0}},maxTurns=agenticConfig.maxTurns,effectiveModel=options.model||modelsStore.models[0]?.model||"";let turn=0;for(;;){if(turn>=maxTurns){const shouldContinue=await this.requestContinue( -conversationId,signal);if(await new Promise(r2=>setTimeout(r2,0)),!shouldContinue||signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn=0}if(this.updateSession(conversationId,{currentTurn:turn+1}),agenticTimings.turns=turn+1,signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn>0&&createAssistantMessage&&await createAssistantMessage();let turnContent="",turnReasoningContent="",turnToolCalls=[],lastStreamingToolCallName="", -lastStreamingToolCallArgsLength=0,turnTimings;const turnStats={turn:turn+1,llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0},toolCalls:[],toolsMs:0};try{await ChatService.sendMessage(sessionMessages,{...options,stream:!0,tools:tools.length>0?tools:void 0,onChunk:chunk=>{turnContent+=chunk,onChunk?.(chunk)},onReasoningChunk:chunk=>{turnReasoningContent+=chunk,onReasoningChunk?.(chunk)},onToolCallChunk:serialized=>{try{if(turnToolCalls=JSON.parse(serialized),onToolCallsStreaming?.(turnToolCalls), -turnToolCalls.length>0&&turnToolCalls[0]?.function){const name=turnToolCalls[0].function.name||"",args=turnToolCalls[0].function.arguments||"",argsLengthBucket=Math.floor(args.length/100);(name!==lastStreamingToolCallName||argsLengthBucket!==lastStreamingToolCallArgsLength)&&(lastStreamingToolCallName=name,lastStreamingToolCallArgsLength=argsLengthBucket,this.updateSession(conversationId,{streamingToolCall:{name,arguments:args}}))}}catch{}},onModel,onTimings:(timings,progress)=>{onTimings?.(timings, -progress),timings&&(capturedTimings=timings,turnTimings=timings)},onComplete:()=>{},onError:error2=>{throw error2}},void 0,signal),this.updateSession(conversationId,{streamingToolCall:null}),turnTimings&&(agenticTimings.llm.predicted_n+=turnTimings.predicted_n||0,agenticTimings.llm.predicted_ms+=turnTimings.predicted_ms||0,agenticTimings.llm.prompt_n+=turnTimings.prompt_n||0,agenticTimings.llm.prompt_ms+=turnTimings.prompt_ms||0,turnStats.llm.predicted_n=turnTimings.predicted_n||0,turnStats.llm. -predicted_ms=turnTimings.predicted_ms||0,turnStats.llm.prompt_n=turnTimings.prompt_n||0,turnStats.llm.prompt_ms=turnTimings.prompt_ms||0)}catch(error2){if(signal?.aborted){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const normalizedError=error2 instanceof Error?error2:new Error("LLM stream error");throw onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError. -message}${LLM_ERROR_BLOCK_END}`),await onAssistantTurnComplete?.(turnContent+`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings)),normalizedError}if(this._steeringMessages.has(conversationId)){console.log("[AgenticStore] Steering message detected after turn, exiting agentic flow"),await onAssistantTurnComplete?.( -turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),turnToolCalls.length>0?this.normalizeToolCalls(turnToolCalls):void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}if(turnToolCalls.length===0){agenticTimings.perTurn.push(turnStats);const finalTimings=this.buildFinalTimings(capturedTimings,agenticTimings);await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,finalTimings,void 0),finalTimings&&onTurnComplete?.( -finalTimings),onFlowComplete?.(finalTimings);return}const normalizedCalls=this.normalizeToolCalls(turnToolCalls);if(normalizedCalls.length===0){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}totalToolCallCount+=normalizedCalls.length,this.updateSession(conversationId,{totalToolCalls:totalToolCallCount}),await onAssistantTurnComplete?.( -turnContent,turnReasoningContent||void 0,turnTimings,normalizedCalls),sessionMessages.push({role:MessageRole.ASSISTANT,content:turnContent||void 0,reasoning_content:turnReasoningContent||void 0,tool_calls:normalizedCalls});for(let i=0;isetTimeout(r2,0)),signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const toolStartTime=performance.now(),toolSource=toolsStore.getToolSource(toolName);let result,toolSuccess=!0;if(permission===ToolPermissionDecision.DENY)result="Tool execution was denied by the user.",toolSuccess=!1;else try{if(toolSource===ToolSource.BUILTIN){const args=this. -parseToolArguments(toolCall.function.arguments),executionResult=await ToolsService.executeTool(toolName,args,signal);result=executionResult.content,executionResult.isError&&(toolSuccess=!1)}else{const mcpCall={id:toolCall.id,function:{name:toolName,arguments:toolCall.function.arguments}};result=(await mcpStore.executeTool(mcpCall,signal)).content}}catch(error2){if(isAbortError(error2)){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}result=`Error: ${error2 instanceof -Error?error2.message:String(error2)}`,toolSuccess=!1}const toolDurationMs=performance.now()-toolStartTime,toolTiming={name:toolCall.function.name,duration_ms:Math.round(toolDurationMs),success:toolSuccess};if(agenticTimings.toolCalls.push(toolTiming),agenticTimings.toolCallsCount++,agenticTimings.toolsMs+=Math.round(toolDurationMs),turnStats.toolCalls.push(toolTiming),turnStats.toolsMs+=Math.round(toolDurationMs),signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings)); -return}const{cleanedResult,attachments}=this.extractBase64Attachments(result);let toolResultMessage;createToolResultMessage&&(toolResultMessage=await createToolResultMessage(toolCall.id,cleanedResult,attachments.length>0?attachments:void 0)),attachments.length>0&&toolResultMessage&&onAttachments?.(toolResultMessage.id,attachments);const contentParts=[{type:ContentPartType.TEXT,text:cleanedResult}];for(const attachment of attachments)attachment.type===AttachmentType.IMAGE&&(modelsStore.modelSupportsVision( -effectiveModel)?contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:attachment.base64Url}}):console.info(`[AgenticStore] Skipping image attachment (model "${effectiveModel}" does not support vision)`));sessionMessages.push({role:MessageRole.TOOL,tool_call_id:toolCall.id,content:contentParts.length===1?cleanedResult:contentParts})}if(turnStats.toolCalls.length>0){agenticTimings.perTurn.push(turnStats);const intermediateTimings=this.buildFinalTimings(capturedTimings,agenticTimings);intermediateTimings&& -onTurnComplete?.(intermediateTimings)}if(this._steeringMessages.has(conversationId)){console.log("[AgenticStore] Steering message detected after tool execution, exiting agentic flow"),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn++}}buildFinalTimings(capturedTimings,agenticTimings){return agenticTimings.toolCallsCount===0?capturedTimings:{predicted_n:capturedTimings?.predicted_n,predicted_ms:capturedTimings?.predicted_ms,prompt_n:capturedTimings?.prompt_n,prompt_ms:capturedTimings?. -prompt_ms,cache_n:capturedTimings?.cache_n,agentic:agenticTimings}}normalizeToolCalls(toolCalls){return toolCalls?toolCalls.map((call,index2)=>({id:call?.id??`tool_${index2}`,type:call?.type??ToolCallType.FUNCTION,function:{name:call?.function?.name??"",arguments:call?.function?.arguments??""}})):[]}extractBase64Attachments(result){if(!result.trim())return{cleanedResult:result,attachments:[]};const lines=result.split(NEWLINE_SEPARATOR),attachments=[];let attachmentIndex=0;return{cleanedResult:lines. -map(line=>{const trimmedLine=line.trim(),match=trimmedLine.match(DATA_URI_BASE64_REGEX);if(!match)return line;const mimeType=match[1].toLowerCase();if(!match[2])return line;attachmentIndex+=1;const name=this.buildAttachmentName(mimeType,attachmentIndex);return mimeType.startsWith(MimeTypePrefix.IMAGE)?(attachments.push({type:AttachmentType.IMAGE,name,base64Url:trimmedLine}),`[Attachment saved: ${name}]`):line}).join(NEWLINE_SEPARATOR),attachments}}buildAttachmentName(mimeType,index2){const extension2=IMAGE_MIME_TO_EXTENSION[mimeType]?? -DEFAULT_IMAGE_EXTENSION;return`${MCP_ATTACHMENT_NAME_PREFIX}-${Date.now()}-${index2}.${extension2}`}}const agenticStore=new AgenticStore;function agenticPendingPermissionRequest(conversationId){return agenticStore.pendingPermissionRequest(conversationId)}function agenticResolvePermission(conversationId,decision){agenticStore.resolvePermission(conversationId,decision)}function agenticPendingContinueRequest(conversationId){return agenticStore.pendingContinueRequest(conversationId)}function agenticResolveContinue(conversationId,shouldContinue){ -agenticStore.resolveContinue(conversationId,shouldContinue)}function agenticInjectSteeringMessage(conversationId,content2,extras){agenticStore.injectSteeringMessage(conversationId,content2,extras)}function agenticPendingSteeringMessageContent(conversationId){return agenticStore.pendingSteeringMessageContent(conversationId)}function agenticPendingSteeringMessageExtras(conversationId){return agenticStore.pendingSteeringMessageExtras(conversationId)}function agenticClearSteeringMessage(conversationId){ -agenticStore.clearSteeringMessage(conversationId)}class ChatStore{#activeProcessingState=state$1(null);get activeProcessingState(){return get$3(this.#activeProcessingState)}set activeProcessingState(value){set$1(this.#activeProcessingState,value,!0)}#currentResponse=state$1("");get currentResponse(){return get$3(this.#currentResponse)}set currentResponse(value){set$1(this.#currentResponse,value,!0)}#errorDialogState=state$1(null);get errorDialogState(){return get$3(this.#errorDialogState)}set errorDialogState(value){ -set$1(this.#errorDialogState,value,!0)}#isLoading=state$1(!1);get isLoading(){return get$3(this.#isLoading)}set isLoading(value){set$1(this.#isLoading,value,!0)}chatLoadingStates=new SvelteMap;chatStreamingStates=new SvelteMap;abortControllers=new SvelteMap;preEncodeAbortController=null;processingStates=new SvelteMap;conversationStateTimestamps=new SvelteMap;#activeConversationId=state$1(null);get activeConversationId(){return get$3(this.#activeConversationId)}set activeConversationId(value){set$1( -this.#activeConversationId,value,!0)}#isStreamingActive=state$1(!1);get isStreamingActive(){return get$3(this.#isStreamingActive)}set isStreamingActive(value){set$1(this.#isStreamingActive,value,!0)}#isEditModeActive=state$1(!1);get isEditModeActive(){return get$3(this.#isEditModeActive)}set isEditModeActive(value){set$1(this.#isEditModeActive,value,!0)}#addFilesHandler=state$1(null);get addFilesHandler(){return get$3(this.#addFilesHandler)}set addFilesHandler(value){set$1(this.#addFilesHandler, -value,!0)}#pendingEditMessageId=state$1(null);get pendingEditMessageId(){return get$3(this.#pendingEditMessageId)}set pendingEditMessageId(value){set$1(this.#pendingEditMessageId,value,!0)}messageUpdateCallback=null;#_pendingDraftMessage=state$1("");get _pendingDraftMessage(){return get$3(this.#_pendingDraftMessage)}set _pendingDraftMessage(value){set$1(this.#_pendingDraftMessage,value,!0)}#_pendingDraftFiles=state$1(proxy([]));get _pendingDraftFiles(){return get$3(this.#_pendingDraftFiles)}set _pendingDraftFiles(value){ -set$1(this.#_pendingDraftFiles,value,!0)}_pendingMessages=new SvelteMap;setChatLoading(convId,loading){this.touchConversationState(convId),loading?(this.chatLoadingStates.set(convId,!0),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!0)):(this.chatLoadingStates.delete(convId),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!1))}setChatStreaming(convId,response,messageId){this.touchConversationState(convId),this.chatStreamingStates.set(convId,{response,messageId}), -convId===conversationsStore.activeConversation?.id&&(this.currentResponse=response)}clearChatStreaming(convId){this.chatStreamingStates.delete(convId),convId===conversationsStore.activeConversation?.id&&(this.currentResponse="")}getChatStreaming(convId){return this.chatStreamingStates.get(convId)}syncLoadingStateForChat(convId){this.isLoading=this.chatLoadingStates.get(convId)||!1;const s2=this.chatStreamingStates.get(convId);if(this.currentResponse=s2?.response||"",this.isStreamingActive=s2!==void 0, -this.setActiveProcessingConversation(convId),s2?.response&&s2?.messageId){const idx=conversationsStore.findMessageIndex(s2.messageId);idx!==-1&&conversationsStore.updateMessageAtIndex(idx,{content:s2.response})}}clearUIState(){this.isLoading=!1,this.currentResponse="",this.isStreamingActive=!1}setActiveProcessingConversation(conversationId){this.activeConversationId=conversationId,this.activeProcessingState=conversationId&&this.processingStates.get(conversationId)||null}getProcessingState(conversationId){ -return this.processingStates.get(conversationId)||null}setProcessingState(conversationId,state2){state2===null?this.processingStates.delete(conversationId):this.processingStates.set(conversationId,state2),conversationId===this.activeConversationId&&(this.activeProcessingState=state2)}clearProcessingState(conversationId){this.processingStates.delete(conversationId),conversationId===this.activeConversationId&&(this.activeProcessingState=null)}getActiveProcessingState(){return this.activeProcessingState}getCurrentProcessingStateSync(){ -return this.activeProcessingState}setStreamingActive(active){this.isStreamingActive=active}isStreaming(){return this.isStreamingActive}getOrCreateAbortController(convId){let c2=this.abortControllers.get(convId);return(!c2||c2.signal.aborted)&&(c2=new AbortController,this.abortControllers.set(convId,c2)),c2}abortRequest(convId){if(convId){const c2=this.abortControllers.get(convId);c2&&(c2.abort(),this.abortControllers.delete(convId))}else{for(const c2 of this.abortControllers.values())c2.abort(); -this.abortControllers.clear()}}abortCurrentFlow(convId){const c2=this.abortControllers.get(convId);c2&&(c2.abort(),this.abortControllers.delete(convId))}showErrorDialog(state2){this.errorDialogState=state2}dismissErrorDialog(){this.errorDialogState=null}clearEditMode(){this.isEditModeActive=!1,this.addFilesHandler=null}isEditing(){return this.isEditModeActive}setEditModeActive(handler){this.isEditModeActive=!0,this.addFilesHandler=handler}getAddFilesHandler(){return this.addFilesHandler}clearPendingEditMessageId(){ -this.pendingEditMessageId=null}savePendingDraft(message,files){this._pendingDraftMessage=message,this._pendingDraftFiles=[...files]}consumePendingDraft(){if(!this._pendingDraftMessage&&this._pendingDraftFiles.length===0)return null;const d2={message:this._pendingDraftMessage,files:[...this._pendingDraftFiles]};return this._pendingDraftMessage="",this._pendingDraftFiles=[],d2}hasPendingDraft(){return!!this._pendingDraftMessage||this._pendingDraftFiles.length>0}getAllLoadingChats(){return Array.from( -this.chatLoadingStates.keys())}getAllStreamingChats(){return Array.from(this.chatStreamingStates.keys())}getChatStreamingPublic(convId){return this.getChatStreaming(convId)}isChatLoadingPublic(convId){return this.chatLoadingStates.get(convId)||!1}isChatLoadingInternal(convId){return this.chatStreamingStates.has(convId)}hasPendingMessage(convId){return this._pendingMessages.has(convId)}pendingMessageContent(convId){return this._pendingMessages.get(convId)?.content??null}pendingMessageExtras(convId){ -return this._pendingMessages.get(convId)?.extras}injectPendingMessage(convId,content2,extras){this._pendingMessages.set(convId,{content:content2,extras})}clearPendingMessage(convId){this._pendingMessages.delete(convId)}consumePendingMessage(convId){const msg=this._pendingMessages.get(convId);return msg?(this._pendingMessages.delete(convId),msg):null}touchConversationState(convId){this.conversationStateTimestamps.set(convId,{lastAccessed:Date.now()})}cleanupOldConversationStates(activeConversationIds){ -const now2=Date.now(),activeIdsList=activeConversationIds??[],preserveIds=this.activeConversationId?[...activeIdsList,this.activeConversationId]:activeIdsList,allConvIds=[...new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys(),...this.conversationStateTimestamps.keys()])],cleanupCandidates=[];for(const convId of allConvIds){if(preserveIds.includes(convId)||this.chatLoadingStates.get(convId)||this.chatStreamingStates. -has(convId))continue;const ts=this.conversationStateTimestamps.get(convId);cleanupCandidates.push({convId,lastAccessed:ts?.lastAccessed??0})}cleanupCandidates.sort((a,b)=>a.lastAccessed-b.lastAccessed);let cleanedUp=0;for(const{convId,lastAccessed}of cleanupCandidates)(cleanupCandidates.length-cleanedUp>MAX_INACTIVE_CONVERSATION_STATES||now2-lastAccessed>INACTIVE_CONVERSATION_STATE_MAX_AGE_MS)&&(this.cleanupConversationState(convId),cleanedUp++);return cleanedUp}cleanupConversationState(convId){ -const c2=this.abortControllers.get(convId);c2&&!c2.signal.aborted&&c2.abort(),this.chatLoadingStates.delete(convId),this.chatStreamingStates.delete(convId),this.abortControllers.delete(convId),this.processingStates.delete(convId),this.conversationStateTimestamps.delete(convId)}getTrackedConversationCount(){return new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys()]).size}getMessageByIdWithRole(messageId,expectedRole){ -const index2=conversationsStore.findMessageIndex(messageId);if(index2===-1)return null;const message=conversationsStore.activeMessages[index2];return expectedRole&&message.role!==expectedRole?null:{message,index:index2}}async addMessage(role,content2,type2=MessageType.TEXT,parent="-1",extras){const activeConv=conversationsStore.activeConversation;if(!activeConv)throw new Error("No active conversation");let parentId=null;if(parent==="-1"){const am=conversationsStore.activeMessages;if(am.length>0) -parentId=am[am.length-1].id;else{const r2=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.parent===null&&m.type==="root");parentId=r2?r2.id:await DatabaseService.createRootMessage(activeConv.id)}}else parentId=parent;const message=await DatabaseService.createMessageBranch({convId:activeConv.id,role,content:content2,type:type2,timestamp:Date.now(),toolCalls:"",children:[],extra:extras},parentId);return conversationsStore.addMessageToActive(message),await conversationsStore. -updateCurrentNode(message.id),conversationsStore.updateConversationTimestamp(),message}async addSystemPrompt(){let activeConv=conversationsStore.activeConversation;if(activeConv||(await conversationsStore.createConversation(),activeConv=conversationsStore.activeConversation),!!activeConv)try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),rootId=rootMessage?rootMessage.id:await DatabaseService.createRootMessage( -activeConv.id),existingSystemMessage=allMessages.find(m=>m.role===MessageRole.SYSTEM&&m.parent===rootId);if(existingSystemMessage){this.pendingEditMessageId=existingSystemMessage.id,conversationsStore.activeMessages.some(m=>m.id===existingSystemMessage.id)||conversationsStore.activeMessages.unshift(existingSystemMessage);return}const firstActiveMessage=conversationsStore.activeMessages.find(m=>m.parent===rootId),systemMessage=await DatabaseService.createSystemMessage(activeConv.id,SYSTEM_MESSAGE_PLACEHOLDER, -rootId);if(firstActiveMessage){await DatabaseService.updateMessage(firstActiveMessage.id,{parent:systemMessage.id}),await DatabaseService.updateMessage(systemMessage.id,{children:[firstActiveMessage.id]});const updatedRootChildren=rootMessage?rootMessage.children.filter(id2=>id2!==firstActiveMessage.id):[];await DatabaseService.updateMessage(rootId,{children:[...updatedRootChildren.filter(id2=>id2!==systemMessage.id),systemMessage.id]});const firstMsgIndex=conversationsStore.findMessageIndex(firstActiveMessage. -id);firstMsgIndex!==-1&&conversationsStore.updateMessageAtIndex(firstMsgIndex,{parent:systemMessage.id})}conversationsStore.activeMessages.unshift(systemMessage),this.pendingEditMessageId=systemMessage.id,conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to add system prompt:",error2)}}async removeSystemPromptPlaceholder(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv)return!1;try{const allMessages=await conversationsStore.getConversationMessages( -activeConv.id),systemMessage=findMessageById(allMessages,messageId);if(!systemMessage||systemMessage.role!==MessageRole.SYSTEM)return!1;const rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null);if(!rootMessage)return!1;if(allMessages.length===2&&systemMessage.children.length===0)return await conversationsStore.deleteConversation(activeConv.id),!0;for(const childId of systemMessage.children){await DatabaseService.updateMessage(childId,{parent:rootMessage.id});const childIndex=conversationsStore. -findMessageIndex(childId);childIndex!==-1&&conversationsStore.updateMessageAtIndex(childIndex,{parent:rootMessage.id})}await DatabaseService.updateMessage(rootMessage.id,{children:[...rootMessage.children.filter(id2=>id2!==messageId),...systemMessage.children]}),await DatabaseService.deleteMessage(messageId);const systemIndex=conversationsStore.findMessageIndex(messageId);return systemIndex!==-1&&conversationsStore.activeMessages.splice(systemIndex,1),conversationsStore.updateConversationTimestamp(), -!1}catch(error2){return console.error("Failed to remove system prompt placeholder:",error2),!1}}async createAssistantMessage(parentId){const activeConv=conversationsStore.activeConversation;if(!activeConv)throw new Error("No active conversation");return await DatabaseService.createMessageBranch({convId:activeConv.id,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:null},parentId||null)}async sendMessage(content2,extras){if(!content2. -trim()&&(!extras||extras.length===0))return;const activeConv=conversationsStore.activeConversation;if(activeConv&&agenticStore.isRunning(activeConv.id)){agenticStore.injectSteeringMessage(activeConv.id,content2,extras);return}if(activeConv&&this.isChatLoadingInternal(activeConv.id)){this.injectPendingMessage(activeConv.id,content2,extras);return}this.cancelPreEncode();const resourceExtras=mcpStore.consumeResourceAttachmentsAsExtras(),allExtras=resourceExtras.length>0?[...extras||[],...resourceExtras]: -extras;let isNewConversation=!1;activeConv||(await conversationsStore.createConversation(),isNewConversation=!0);const currentConv=conversationsStore.activeConversation;if(currentConv){this.showErrorDialog(null),this.setChatLoading(currentConv.id,!0),this.clearChatStreaming(currentConv.id);try{let parentIdForUserMessage;if(isNewConversation){const rootId=await DatabaseService.createRootMessage(currentConv.id),systemPrompt=config$1().systemMessage?.toString().trim();if(systemPrompt){const systemMessage=await DatabaseService. -createSystemMessage(currentConv.id,systemPrompt,rootId);conversationsStore.addMessageToActive(systemMessage),parentIdForUserMessage=systemMessage.id}else parentIdForUserMessage=rootId}const userMessage=await this.addMessage(MessageRole.USER,content2,MessageType.TEXT,parentIdForUserMessage??"-1",allExtras);isNewConversation&&content2&&await conversationsStore.updateConversationName(currentConv.id,generateConversationTitle(content2,!!config$1().titleGenerationUseFirstLine));const assistantMessage=await this. -createAssistantMessage(userMessage.id);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage)}catch(error2){if(isAbortError(error2)){this.setChatLoading(currentConv.id,!1);return}console.error("Failed to send message:",error2),this.setChatLoading(currentConv.id,!1);const dialogType=error2 instanceof Error&&error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,contextInfo=error2. -contextInfo;this.showErrorDialog({type:dialogType,message:error2 instanceof Error?error2.message:"Unknown error",contextInfo})}}}async streamChatCompletion(allMessages,assistantMessage,onComplete,onError,modelOverride){let effectiveModel=modelOverride;if(isRouterMode()&&!effectiveModel){const conversationModel=this.getConversationModel(allMessages);effectiveModel=selectedModelName()||conversationModel}isRouterMode()&&effectiveModel&&(modelsStore.getModelProps(effectiveModel)||await modelsStore.fetchModelProps( -effectiveModel));let currentMessageId=assistantMessage.id,streamedContent="",streamedReasoningContent="",resolvedModel=null,modelPersisted=!1;const convId=assistantMessage.convId,recordModel=(modelName,persistImmediately=!0)=>{if(!modelName)return;const n=normalizeModelName(modelName);if(!n||n===resolvedModel)return;resolvedModel=n;const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{model:n}),persistImmediately&&!modelPersisted&&(modelPersisted= -!0,DatabaseService.updateMessage(currentMessageId,{model:n}).catch(()=>{modelPersisted=!1,resolvedModel=null}))},updateStreamingUI=()=>{this.setChatStreaming(convId,streamedContent,currentMessageId);const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{content:streamedContent})},cleanupStreamingState=()=>{this.setStreamingActive(!1),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null)};this.setStreamingActive( -!0),this.setActiveProcessingConversation(convId);const abortController=this.getOrCreateAbortController(convId),streamCallbacks={onChunk:chunk=>{streamedContent+=chunk,updateStreamingUI()},onReasoningChunk:chunk=>{streamedReasoningContent+=chunk;const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{reasoningContent:streamedReasoningContent})},onToolCallsStreaming:toolCalls=>{const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore. -updateMessageAtIndex(idx,{toolCalls:JSON.stringify(toolCalls)})},onAttachments:(messageId,extras)=>{if(!extras.length)return;const idx=conversationsStore.findMessageIndex(messageId);if(idx===-1)return;const updatedExtras=[...conversationsStore.activeMessages[idx].extra||[],...extras];conversationsStore.updateMessageAtIndex(idx,{extra:updatedExtras}),DatabaseService.updateMessage(messageId,{extra:updatedExtras}).catch(console.error)},onModel:modelName=>recordModel(modelName),onTurnComplete:intermediateTimings=>{ -const idx=conversationsStore.findMessageIndex(assistantMessage.id);conversationsStore.updateMessageAtIndex(idx,{timings:intermediateTimings})},onTimings:(timings,promptProgress)=>{const tokensPerSecond=timings?.predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:timings?.prompt_n||0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress}, -convId)},onAssistantTurnComplete:async(content2,reasoningContent,timings,toolCalls)=>{const updateData={content:content2,reasoningContent:reasoningContent||void 0,toolCalls:toolCalls?JSON.stringify(toolCalls):"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoningContent||void 0,toolCalls:toolCalls? -JSON.stringify(toolCalls):""};timings&&(uiUpdate.timings=timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex(idx,uiUpdate),await conversationsStore.updateCurrentNode(currentMessageId)},createToolResultMessage:async(toolCallId,content2,extras)=>{const msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:content2,toolCallId,timestamp:Date.now(),toolCalls:"",children:[],extra:extras},currentMessageId);return conversationsStore. -addMessageToActive(msg),await conversationsStore.updateCurrentNode(msg.id),msg},createAssistantMessage:async()=>{streamedContent="",streamedReasoningContent="";const lastMsg=conversationsStore.activeMessages[conversationsStore.activeMessages.length-1],msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:resolvedModel},lastMsg.id);return conversationsStore.addMessageToActive(msg),currentMessageId= -msg.id,msg},onFlowComplete:finalTimings=>{if(finalTimings){const idx=conversationsStore.findMessageIndex(assistantMessage.id);conversationsStore.updateMessageAtIndex(idx,{timings:finalTimings}),DatabaseService.updateMessage(assistantMessage.id,{timings:finalTimings}).catch(console.error)}cleanupStreamingState(),onComplete&&onComplete(streamedContent),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error),config$1().preEncodeConversation&&this.triggerPreEncode(allMessages,assistantMessage, -streamedContent,effectiveModel,!!config$1().excludeReasoningFromContext)},onError:error2=>{if(this.setStreamingActive(!1),isAbortError(error2)){cleanupStreamingState();const pending=this.consumePendingMessage(convId);pending&&this.sendMessage(pending.content,pending.extras);return}console.error("Streaming error:",error2),cleanupStreamingState(),this.clearPendingMessage(convId);const idx=conversationsStore.findMessageIndex(assistantMessage.id);if(idx!==-1){const failedMessage=conversationsStore.removeMessageAtIndex( -idx);failedMessage&&DatabaseService.deleteMessage(failedMessage.id).catch(console.error)}const contextInfo=error2.contextInfo;this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,message:error2.message,contextInfo}),onError&&onError(error2)}},perChatOverrides=conversationsStore.activeConversation?.mcpServerOverrides;if((await agenticStore.runAgenticFlow({conversationId:convId,messages:allMessages,options:{...this.getApiOptions(),...effectiveModel? -{model:effectiveModel}:{}},callbacks:streamCallbacks,signal:abortController.signal,perChatOverrides})).handled){const pending=agenticStore.consumePendingSteeringMessage(convId);pending&&await this.sendMessage(pending.content,pending.extras);return}await ChatService.sendMessage(allMessages,{...this.getApiOptions(),...effectiveModel?{model:effectiveModel}:{},stream:!0,onChunk:streamCallbacks.onChunk,onReasoningChunk:streamCallbacks.onReasoningChunk,onModel:streamCallbacks.onModel,onTimings:streamCallbacks. -onTimings,onComplete:async(finalContent,reasoningContent,timings,toolCalls)=>{const content2=streamedContent||finalContent||"",reasoning=streamedReasoningContent||reasoningContent,updateData={content:content2,reasoningContent:reasoning||void 0,toolCalls:toolCalls||"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoning|| -void 0,toolCalls:toolCalls||""};timings&&(uiUpdate.timings=timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex(idx,uiUpdate),await conversationsStore.updateCurrentNode(currentMessageId),cleanupStreamingState(),onComplete&&await onComplete(content2),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error);const pending=this.consumePendingMessage(convId);pending&&await this.sendMessage(pending.content,pending.extras)},onError:streamCallbacks.onError}, -convId,abortController.signal)}async stopGeneration(){const activeConv=conversationsStore.activeConversation;activeConv&&await this.stopGenerationForChat(activeConv.id)}async stopGenerationForChat(convId){await this.savePartialResponseIfNeeded(convId),this.setStreamingActive(!1),this.abortRequest(convId),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null),this.clearPendingMessage(convId)}async savePartialResponseIfNeeded(convId){const conversationId=convId|| -conversationsStore.activeConversation?.id;if(!conversationId)return;const streamingState=this.getChatStreaming(conversationId);if(!streamingState||!streamingState.response.trim())return;const messages=conversationId===conversationsStore.activeConversation?.id?conversationsStore.activeMessages:await conversationsStore.getConversationMessages(conversationId);if(!messages.length)return;const lastMessage=messages[messages.length-1];if(lastMessage?.role===MessageRole.ASSISTANT)try{const updateData={content:streamingState. -response},lastKnownState=this.getProcessingState(conversationId);lastKnownState&&(updateData.timings={prompt_n:lastKnownState.promptTokens||0,prompt_ms:lastKnownState.promptMs,predicted_n:lastKnownState.tokensDecoded||0,cache_n:lastKnownState.cacheTokens||0,predicted_ms:lastKnownState.tokensPerSecond&&lastKnownState.tokensDecoded?lastKnownState.tokensDecoded/lastKnownState.tokensPerSecond*1e3:void 0}),await DatabaseService.updateMessage(lastMessage.id,updateData),lastMessage.content=streamingState. -response,updateData.timings&&(lastMessage.timings=updateData.timings)}catch(error2){lastMessage.content=streamingState.response,console.error("Failed to save partial response:",error2)}}async updateMessage(messageId,newContent){const activeConv=conversationsStore.activeConversation;if(!activeConv)return;this.isChatLoadingInternal(activeConv.id)&&await this.stopGeneration();const result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(!result)return;const{message:messageToUpdate,index:messageIndex}=result, -originalContent=messageToUpdate.content;try{const rootMessage=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.type==="root"&&m.parent===null),isFirstUserMessage=rootMessage&&messageToUpdate.parent===rootMessage.id;conversationsStore.updateMessageAtIndex(messageIndex,{content:newContent}),await DatabaseService.updateMessage(messageId,{content:newContent}),isFirstUserMessage&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv. -id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine));const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex+1);for(const message of messagesToRemove)await DatabaseService.deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex+1),conversationsStore.updateConversationTimestamp(),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const assistantMessage=await this.createAssistantMessage();conversationsStore. -addMessageToActive(assistantMessage),await conversationsStore.updateCurrentNode(assistantMessage.id),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage,void 0,()=>{conversationsStore.updateMessageAtIndex(conversationsStore.findMessageIndex(messageId),{content:originalContent})})}catch(error2){isAbortError(error2)||console.error("Failed to update message:",error2)}}async regenerateMessage(messageId){const activeConv=conversationsStore.activeConversation; -if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;this.cancelPreEncode();const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{index:messageIndex}=result;try{const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex);for(const message of messagesToRemove)await DatabaseService.deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex),conversationsStore.updateConversationTimestamp(),this.setChatLoading( -activeConv.id,!0),this.clearChatStreaming(activeConv.id);const parentMessageId=conversationsStore.activeMessages.length>0?conversationsStore.activeMessages[conversationsStore.activeMessages.length-1].id:void 0,assistantMessage=await this.createAssistantMessage(parentMessageId);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage)}catch(error2){isAbortError(error2)||console.error("Failed to regenerat\ -e message:",error2),this.setChatLoading(activeConv?.id||"",!1)}}async regenerateMessageWithBranching(messageId,modelOverride){const activeConv=conversationsStore.activeConversation;if(!(!activeConv||this.isChatLoadingInternal(activeConv.id))){this.cancelPreEncode();try{const idx=conversationsStore.findMessageIndex(messageId);if(idx===-1)return;const msg=conversationsStore.activeMessages[idx];if(msg.role!==MessageRole.ASSISTANT)return;const allMessages=await conversationsStore.getConversationMessages( -activeConv.id),parentMessage=findMessageById(allMessages,msg.parent);if(!parentMessage)return;this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const newAssistantMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.now(),role:msg.role,content:"",toolCalls:"",children:[],model:null},parentMessage.id);await conversationsStore.updateCurrentNode(newAssistantMessage.id),conversationsStore.updateConversationTimestamp(),await conversationsStore. -refreshActiveMessages();const conversationPath=filterByLeafNodeId(allMessages,parentMessage.id,!1),modelToUse=modelOverride||msg.model||void 0;await this.streamChatCompletion(conversationPath,newAssistantMessage,void 0,void 0,modelToUse)}catch(error2){isAbortError(error2)||console.error("Failed to regenerate message with branching:",error2),this.setChatLoading(activeConv?.id||"",!1)}}}async getDeletionInfo(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv)return{totalCount:0, -userMessages:0,assistantMessages:0,messageTypes:[]};const allMessages=await conversationsStore.getConversationMessages(activeConv.id);if(findMessageById(allMessages,messageId)?.role===MessageRole.SYSTEM){const messagesToDelete2=allMessages.filter(m=>m.id===messageId);let userMessages2=0,assistantMessages2=0;const messageTypes2=[];for(const msg of messagesToDelete2)msg.role===MessageRole.USER?(userMessages2++,messageTypes2.includes("user message")||messageTypes2.push("user message")):msg.role===MessageRole. -ASSISTANT&&(assistantMessages2++,messageTypes2.includes("assistant response")||messageTypes2.push("assistant response"));return{totalCount:1,userMessages:userMessages2,assistantMessages:assistantMessages2,messageTypes:messageTypes2}}const descendants=findDescendantMessages(allMessages,messageId),allToDelete=[messageId,...descendants],messagesToDelete=allMessages.filter(m=>allToDelete.includes(m.id));let userMessages=0,assistantMessages=0;const messageTypes=[];for(const msg of messagesToDelete)msg. -role===MessageRole.USER?(userMessages++,messageTypes.includes("user message")||messageTypes.push("user message")):msg.role===MessageRole.ASSISTANT&&(assistantMessages++,messageTypes.includes("assistant response")||messageTypes.push("assistant response"));return{totalCount:allToDelete.length,userMessages,assistantMessages,messageTypes}}async deleteMessage(messageId){const activeConv=conversationsStore.activeConversation;if(activeConv)try{const allMessages=await conversationsStore.getConversationMessages( -activeConv.id),messageToDelete=findMessageById(allMessages,messageId);if(!messageToDelete)return;if(filterByLeafNodeId(allMessages,activeConv.currNode||"",!1).some(m=>m.id===messageId)&&messageToDelete.parent){const siblings2=allMessages.filter(m=>m.parent===messageToDelete.parent&&m.id!==messageId);if(siblings2.length>0){const latestSibling=siblings2.reduce((latest,sibling2)=>sibling2.timestamp>latest.timestamp?sibling2:latest);await conversationsStore.updateCurrentNode(findLeafNode(allMessages, -latestSibling.id))}else messageToDelete.parent&&await conversationsStore.updateCurrentNode(findLeafNode(allMessages,messageToDelete.parent))}await DatabaseService.deleteMessageCascading(activeConv.id,messageId),await conversationsStore.refreshActiveMessages(),conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to delete message:",error2)}}async continueAssistantMessage(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal( -activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;try{this.showErrorDialog(null),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const allMessages=await conversationsStore.getConversationMessages(activeConv.id),dbMessage=findMessageById(allMessages,messageId);if(!dbMessage){this.setChatLoading(activeConv.id,!1);return}const originalContent=dbMessage.content,originalReasoning=dbMessage. -reasoningContent||"",contextWithContinue=[...conversationsStore.activeMessages.slice(0,idx),{role:MessageRole.ASSISTANT,content:originalContent}];let appendedContent="",appendedReasoning="",hasReceivedContent=!1;const updateStreamingContent=fullContent=>{this.setChatStreaming(msg.convId,fullContent,msg.id),conversationsStore.updateMessageAtIndex(idx,{content:fullContent})},abortController=this.getOrCreateAbortController(msg.convId);await ChatService.sendMessage(contextWithContinue,{...this.getApiOptions(), -onChunk:chunk=>{appendedContent+=chunk,hasReceivedContent=!0,updateStreamingContent(originalContent+appendedContent)},onReasoningChunk:chunk=>{appendedReasoning+=chunk,hasReceivedContent=!0,conversationsStore.updateMessageAtIndex(idx,{reasoningContent:originalReasoning+appendedReasoning})},onTimings:(timings,promptProgress)=>{const tokensPerSecond=timings?.predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:timings?.prompt_n|| -0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress},msg.convId)},onComplete:async(finalContent,reasoningContent,timings)=>{const finalAppendedContent=hasReceivedContent?appendedContent:finalContent||"",finalAppendedReasoning=hasReceivedContent?appendedReasoning:reasoningContent||"",fullContent=originalContent+finalAppendedContent,fullReasoning=originalReasoning+finalAppendedReasoning|| -void 0;await DatabaseService.updateMessage(msg.id,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateMessageAtIndex(idx,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateConversationTimestamp(),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null)},onError:async error2=>{if(isAbortError(error2)){hasReceivedContent&&appendedContent&& -(await DatabaseService.updateMessage(msg.id,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()}),conversationsStore.updateMessageAtIndex(idx,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()})),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null);return}console.error("Continue generation error:", -error2),conversationsStore.updateMessageAtIndex(idx,{content:originalContent}),await DatabaseService.updateMessage(msg.id,{content:originalContent}),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null),this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,message:error2.message})}},msg.convId,abortController.signal)}catch(error2){isAbortError(error2)||console.error("Failed to continue mess\ -age:",error2),activeConv&&this.setChatLoading(activeConv.id,!1)}}async editAssistantMessage(messageId,newContent,shouldBranch){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;try{if(shouldBranch){const newMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date. -now(),role:msg.role,content:newContent,toolCalls:msg.toolCalls||"",children:[],model:msg.model},msg.parent);await conversationsStore.updateCurrentNode(newMessage.id)}else await DatabaseService.updateMessage(msg.id,{content:newContent}),conversationsStore.updateMessageAtIndex(idx,{content:newContent});conversationsStore.updateConversationTimestamp(),await conversationsStore.refreshActiveMessages()}catch(error2){console.error("Failed to edit assistant message:",error2)}}async editUserMessagePreserveResponses(messageId,newContent,newExtras){ +if(rootModel)return rootModel;const firstChoice=Array.isArray(root2.choices)?asRecord(root2.choices[0]):void 0;if(!firstChoice)return;const deltaModel=getTrimmedString(asRecord(firstChoice.delta)?.model);if(deltaModel)return deltaModel;const messageModel=getTrimmedString(asRecord(firstChoice.message)?.model);if(messageModel)return messageModel}static notifyTimings(timings,promptProgress,onTimingsCallback){!onTimingsCallback||!timings&&!promptProgress||onTimingsCallback(timings,promptProgress)}}class ToolsService{static async list(){ +return apiFetch(API_TOOLS.LIST)}static async executeTool(toolName,params,signal){const result=await apiFetch(API_TOOLS.EXECUTE,{method:"POST",body:JSON.stringify({tool:toolName,params}),signal});return ToolResponseField.ERROR in result?{content:String(result[ToolResponseField.ERROR]),isError:!0}:ToolResponseField.PLAIN_TEXT in result?{content:String(result[ToolResponseField.PLAIN_TEXT]),isError:!1}:{content:JSON.stringify(result),isError:!1}}}class ToolsStore{#_builtinTools=state$1(proxy([]));get _builtinTools(){ +return get$3(this.#_builtinTools)}set _builtinTools(value){set$1(this.#_builtinTools,value,!0)}#_loading=state$1(!1);get _loading(){return get$3(this.#_loading)}set _loading(value){set$1(this.#_loading,value,!0)}#_error=state$1(null);get _error(){return get$3(this.#_error)}set _error(value){set$1(this.#_error,value,!0)}#_disabledTools=state$1(proxy(new SvelteSet));get _disabledTools(){return get$3(this.#_disabledTools)}set _disabledTools(value){set$1(this.#_disabledTools,value,!0)}#_toolsEndpointUnreachable=state$1( +!1);get _toolsEndpointUnreachable(){return get$3(this.#_toolsEndpointUnreachable)}set _toolsEndpointUnreachable(value){set$1(this.#_toolsEndpointUnreachable,value,!0)}constructor(){try{const stored=localStorage.getItem(DISABLED_TOOLS_LOCALSTORAGE_KEY);if(stored){const parsed=JSON.parse(stored);if(Array.isArray(parsed))for(const name of parsed)typeof name=="string"&&this._disabledTools.add(name)}}catch(err){console.error("[ToolsStore] Failed to load disabled tools from localStorage:",err)}this.fetchBuiltinTools()}persistDisabledTools(){ +try{localStorage.setItem(DISABLED_TOOLS_LOCALSTORAGE_KEY,JSON.stringify([...this._disabledTools]))}catch{}}get builtinTools(){return this._builtinTools}get mcpTools(){return mcpStore.getToolDefinitionsForLLM()}get customTools(){const raw2=config$1().custom;if(!raw2||typeof raw2!="string")return[];try{const parsed=JSON.parse(raw2);return Array.isArray(parsed)?parsed.filter(t=>typeof t=="object"&&t!==null&&"type"in t&&t.type==="function"&&"function"in t&&typeof t.function?.name=="string"):[]}catch{ +return[]}}get allTools(){const entries=[];for(const def of this._builtinTools)entries.push({source:ToolSource.BUILTIN,definition:def});const connections=mcpStore.getConnections();if(connections.size>0)for(const[serverId,connection]of connections){const serverName=mcpStore.getServerDisplayName(serverId);for(const tool of connection.tools){const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};entries.push({source:ToolSource.MCP,serverName,serverId,definition:{type:ToolCallType. +FUNCTION,function:{name:tool.name,description:tool.description,parameters:rawSchema}}})}}else for(const{serverId,serverName,tools}of this.getMcpToolsFromHealthChecks())for(const tool of tools)entries.push({source:ToolSource.MCP,serverName,serverId,definition:{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:{type:JsonSchemaType.OBJECT,properties:{},required:[]}}}});for(const def of this.customTools)entries.push({source:ToolSource.CUSTOM,definition:def}); +return entries}get toolGroups(){const groups=[];this._builtinTools.length>0&&groups.push({source:ToolSource.BUILTIN,label:TOOL_GROUP_LABELS[ToolSource.BUILTIN],tools:this._builtinTools});const connections=mcpStore.getConnections();if(connections.size>0)for(const[serverId,connection]of connections){if(connection.tools.length===0)continue;const label=mcpStore.getServerDisplayName(serverId),tools=connection.tools.map(tool=>{const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{}, +required:[]};return{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:rawSchema}}});groups.push({source:ToolSource.MCP,label,serverId,tools})}else for(const{serverId,serverName,tools}of this.getMcpToolsFromHealthChecks()){if(tools.length===0)continue;const defs=tools.map(tool=>({type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:{type:JsonSchemaType.OBJECT,properties:{},required:[]}}}));groups.push({source:ToolSource. +MCP,label:serverName,serverId,tools:defs})}const custom2=this.customTools;return custom2.length>0&&groups.push({source:ToolSource.CUSTOM,label:TOOL_GROUP_LABELS[ToolSource.CUSTOM],tools:custom2}),groups}get enabledToolDefinitions(){return this.allTools.filter(t=>!this._disabledTools.has(t.definition.function.name)).map(t=>t.definition)}getEnabledToolsForLLM(){const disabled=this._disabledTools,result=[];for(const tool of this._builtinTools)disabled.has(tool.function.name)||result.push(tool);for(const tool of mcpStore. +getToolDefinitionsForLLM())disabled.has(tool.function.name)||result.push(tool);for(const tool of this.customTools)disabled.has(tool.function.name)||result.push(tool);return result}get allToolDefinitions(){return this.allTools.map(t=>t.definition)}get loading(){return this._loading}get error(){return this._error}get isToolsEndpointUnreachable(){return this._toolsEndpointUnreachable}get disabledTools(){return this._disabledTools}isToolEnabled(toolName){return!this._disabledTools.has(toolName)}toggleTool(toolName){ +this._disabledTools.has(toolName)?this._disabledTools.delete(toolName):this._disabledTools.add(toolName),this.persistDisabledTools()}setToolEnabled(toolName,enabled){enabled?this._disabledTools.delete(toolName):this._disabledTools.add(toolName)}enableAllToolsForServer(serverId){const connection=mcpStore.getConnections().get(serverId);if(connection){for(const tool of connection.tools)this._disabledTools.delete(tool.name);this.persistDisabledTools()}}toggleGroup(group){const allEnabled=group.tools. +every(t=>this.isToolEnabled(t.function.name));for(const tool of group.tools)this.setToolEnabled(tool.function.name,!allEnabled);this.persistDisabledTools()}isGroupFullyEnabled(group){return group.tools.length>0&&group.tools.every(t=>this.isToolEnabled(t.function.name))}isGroupPartiallyEnabled(group){const enabledCount=group.tools.filter(t=>this.isToolEnabled(t.function.name)).length;return enabledCount>0&&enabledCounts2.enabled)){const health=mcpStore.getHealthCheckState(server.id);health.status===HealthCheckStatus.SUCCESS&&health.tools.length>0&&result.push({serverId:server.id,serverName:mcpStore.getServerLabel(server),tools:health.tools})}return result}getToolSource(toolName){if(this._builtinTools.some(t=>t.function.name===toolName))return ToolSource.BUILTIN;for(const entry of this.allTools)if(entry.definition.function.name===toolName)return entry.source;return null}getToolServerLabel(toolName){ +for(const entry of this.allTools)if(entry.definition.function.name===toolName){if(entry.serverName)return mcpStore.getServerDisplayName(entry.serverName);if(entry.source===ToolSource.BUILTIN)return TOOL_SERVER_LABELS[ToolSource.BUILTIN];if(entry.source===ToolSource.CUSTOM)return TOOL_SERVER_LABELS[ToolSource.CUSTOM]}return""}getPermissionKey(toolName){for(const entry of this.allTools)if(entry.definition.function.name===toolName)switch(entry.source){case ToolSource.BUILTIN:return`builtin:${toolName}`;case ToolSource. +CUSTOM:return`custom:${toolName}`;case ToolSource.MCP:return entry.serverId?`mcp-${entry.serverId}:${toolName}`:`mcp:${toolName}`;default:return null}return null}get hasEnabledTools(){return this.getEnabledToolsForLLM().length>0}async fetchBuiltinTools(){if(!this._loading){this._loading=!0,this._error=null,this._toolsEndpointUnreachable=!1;try{const toolInfos=await ToolsService.list();this._builtinTools=toolInfos.map(info2=>info2.definition)}catch(err){const errorMessage=err instanceof Error?err. +message:String(err);this._error=errorMessage,(errorMessage.includes("404")||errorMessage.toLowerCase().includes("not found"))&&(this._toolsEndpointUnreachable=!0),console.error("[ToolsStore] Failed to fetch built-in tools:",err)}finally{this._loading=!1}}}}const toolsStore=new ToolsStore;class PermissionsStore{#_tools=state$1(proxy(new SvelteSet));get _tools(){return get$3(this.#_tools)}set _tools(value){set$1(this.#_tools,value,!0)}constructor(){try{const stored=localStorage.getItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY); +if(stored)for(const name of JSON.parse(stored))typeof name=="string"&&this._tools.add(name)}catch(err){console.error(`Failed to load permissions from localStorage ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,err)}}get tools(){return this._tools}hasTool(key2){return this._tools.has(key2)}allowTool(key2){this._tools.add(key2),this._persist()}allowTools(keys2){for(const key2 of keys2)this._tools.add(key2);this._persist()}revokeTool(key2){this._tools.delete(key2),this._persist()}_persist(){try{localStorage. +setItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY,JSON.stringify([...this._tools]))}catch(err){console.error(`Failed to persist to localStorage ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,err)}}}const permissionsStore=new PermissionsStore;function createDefaultSession(){return{isRunning:!1,currentTurn:0,totalToolCalls:0,lastError:null,streamingToolCall:null,pendingPermissionRequest:null}}function toAgenticMessages(messages){return messages.map(message=>message.role===MessageRole.ASSISTANT&&message. +tool_calls&&message.tool_calls.length>0?{role:MessageRole.ASSISTANT,content:message.content,reasoning_content:message.reasoning_content,tool_calls:message.tool_calls.map((call,index2)=>({id:call.id??`call_${index2}`,type:call.type??ToolCallType.FUNCTION,function:{name:call.function?.name??"",arguments:call.function?.arguments??""}}))}:message.role===MessageRole.ASSISTANT?{role:MessageRole.ASSISTANT,content:message.content,reasoning_content:message.reasoning_content}:message.role===MessageRole.TOOL&& +message.tool_call_id?{role:MessageRole.TOOL,tool_call_id:message.tool_call_id,content:typeof message.content=="string"?message.content:""}:{role:message.role,content:message.content})}class AgenticStore{_sessions=new SvelteMap;_pendingPermissions=new SvelteMap;_permissionResolvers=new Map;_pendingContinueRequests=new SvelteMap;_continueResolvers=new Map;_steeringMessages=new SvelteMap;get isReady(){return!0}get isAnyRunning(){for(const session of this._sessions.values())if(session.isRunning)return!0; +return!1}getSession(conversationId){let session=this._sessions.get(conversationId);return session||(session=createDefaultSession(),this._sessions.set(conversationId,session)),session}updateSession(conversationId,update2){const session=this.getSession(conversationId);this._sessions.set(conversationId,{...session,...update2})}clearSession(conversationId){this._sessions.delete(conversationId)}getActiveSessions(){const active=[];for(const[conversationId,session]of this._sessions.entries())session.isRunning&& +active.push({conversationId,session});return active}isRunning(conversationId){return this.getSession(conversationId).isRunning}currentTurn(conversationId){return this.getSession(conversationId).currentTurn}totalToolCalls(conversationId){return this.getSession(conversationId).totalToolCalls}lastError(conversationId){return this.getSession(conversationId).lastError}streamingToolCall(conversationId){return this.getSession(conversationId).streamingToolCall}pendingPermissionRequest(conversationId){return this. +_pendingPermissions.get(conversationId)??null}pendingContinueRequest(conversationId){return this._pendingContinueRequests.get(conversationId)??!1}resolveContinue(conversationId,shouldContinue){const resolver2=this._continueResolvers.get(conversationId);resolver2&&(this._continueResolvers.delete(conversationId),resolver2(shouldContinue))}resolvePermission(conversationId,decision){const resolver2=this._permissionResolvers.get(conversationId);resolver2&&(this._permissionResolvers.delete(conversationId), +resolver2(decision))}clearError(conversationId){this.updateSession(conversationId,{lastError:null})}hasPendingSteeringMessage(conversationId){return this._steeringMessages.has(conversationId)}pendingSteeringMessageContent(conversationId){return this._steeringMessages.get(conversationId)?.content??null}pendingSteeringMessageExtras(conversationId){return this._steeringMessages.get(conversationId)?.extras}injectSteeringMessage(conversationId,content2,extras){this._steeringMessages.set(conversationId, +{content:content2,extras})}clearSteeringMessage(conversationId){this._steeringMessages.delete(conversationId)}consumePendingSteeringMessage(conversationId){const msg=this._steeringMessages.get(conversationId);return msg?(this._steeringMessages.delete(conversationId),msg):null}getConfig(settings,perChatOverrides){const maxTurns=Number(settings.agenticMaxTurns)||DEFAULT_AGENTIC_CONFIG.maxTurns,maxToolPreviewLines=Number(settings.agenticMaxToolPreviewLines)||DEFAULT_AGENTIC_CONFIG.maxToolPreviewLines; +return{enabled:(mcpStore.hasEnabledServers(perChatOverrides)||toolsStore.builtinTools.length>0||toolsStore.customTools.length>0)&&DEFAULT_AGENTIC_CONFIG.enabled,maxTurns,maxToolPreviewLines}}parseToolArguments(args){if(typeof args=="object")return args;const trimmed=args.trim();return trimmed===""?{}:JSON.parse(trimmed)}async requestPermission(conversationId,toolName,serverLabel,signal){const permissionKey=toolsStore.getPermissionKey(toolName);return permissionKey&&permissionsStore.hasTool(permissionKey)? +ToolPermissionDecision.ONCE:(this._pendingPermissions.set(conversationId,{toolName,serverLabel}),new Promise(resolve2=>{if(signal?.aborted){this._pendingPermissions.set(conversationId,null),resolve2(ToolPermissionDecision.DENY);return}this._permissionResolvers.set(conversationId,decision=>{if(this._pendingPermissions.set(conversationId,null),decision===ToolPermissionDecision.ALWAYS&&permissionKey)permissionsStore.allowTool(permissionKey);else if(decision===ToolPermissionDecision.ALWAYS_SERVER){const serverToolKeys=toolsStore. +allTools.filter(t=>t.serverName?t.serverName===serverLabel:toolsStore.getToolServerLabel(t.definition.function.name)===serverLabel).map(t=>toolsStore.getPermissionKey(t.definition.function.name)).filter(k=>k!==null);permissionsStore.allowTools(serverToolKeys)}resolve2(decision)}),signal?.addEventListener("abort",()=>{this._permissionResolvers.get(conversationId)&&(this._permissionResolvers.delete(conversationId),this._pendingPermissions.set(conversationId,null),resolve2(ToolPermissionDecision.DENY))}, +{once:!0})}))}async requestContinue(conversationId,signal){return this._pendingContinueRequests.set(conversationId,!0),new Promise(resolve2=>{if(signal?.aborted){this._pendingContinueRequests.set(conversationId,!1),resolve2(!1);return}this._continueResolvers.set(conversationId,shouldContinue=>{this._pendingContinueRequests.set(conversationId,!1),resolve2(shouldContinue)}),signal?.addEventListener("abort",()=>{this._continueResolvers.get(conversationId)&&(this._continueResolvers.delete(conversationId), +this._pendingContinueRequests.set(conversationId,!1),resolve2(!1))},{once:!0})})}async runAgenticFlow(params){const{conversationId,messages,options={},callbacks,signal,perChatOverrides}=params;this._pendingPermissions.set(conversationId,null),this._permissionResolvers.delete(conversationId),this._pendingContinueRequests.set(conversationId,!1),this._continueResolvers.delete(conversationId),this._steeringMessages.delete(conversationId),toolsStore.builtinTools.length===0&&!toolsStore.loading&&await toolsStore. +fetchBuiltinTools();const agenticConfig=this.getConfig(config$1(),perChatOverrides);if(!agenticConfig.enabled)return{handled:!1};const hasMcpServers=mcpStore.hasEnabledServers(perChatOverrides);hasMcpServers&&(await mcpStore.ensureInitialized(perChatOverrides)||console.log("[AgenticStore] MCP not initialized"));const tools=toolsStore.getEnabledToolsForLLM();if(tools.length===0)return{handled:!1};console.log(`[AgenticStore] Starting agentic flow with ${tools.length} tools`);const normalizedMessages=messages. +map(msg=>"id"in msg&&"convId"in msg&&"timestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);this.updateSession(conversationId,{isRunning:!0,currentTurn:0,totalToolCalls:0,lastError:null}),hasMcpServers&&mcpStore.acquireConnection();try{return await this.executeAgenticLoop({conversationId,messages:normalizedMessages,options,tools,agenticConfig,callbacks,signal}),{handled:!0}}catch(error2){ +const normalizedError=error2 instanceof Error?error2:new Error(String(error2));return this.updateSession(conversationId,{lastError:normalizedError}),callbacks.onError?.(normalizedError),{handled:!0,error:normalizedError}}finally{this.updateSession(conversationId,{isRunning:!1}),hasMcpServers&&await mcpStore.releaseConnection().catch(err=>console.warn("[AgenticStore] Failed to release MCP connection:",err))}}async executeAgenticLoop(params){const{conversationId,messages,options,tools,agenticConfig, +callbacks,signal}=params,{onChunk,onReasoningChunk,onToolCallsStreaming,onAttachments,onModel,onAssistantTurnComplete,createToolResultMessage,createAssistantMessage,onFlowComplete,onTimings,onTurnComplete}=callbacks,sessionMessages=toAgenticMessages(messages);let capturedTimings,totalToolCallCount=0;const agenticTimings={turns:0,toolCallsCount:0,toolsMs:0,toolCalls:[],perTurn:[],llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0}},maxTurns=agenticConfig.maxTurns,effectiveModel=options.model|| +modelsStore.models[0]?.model||"";let turn=0;for(;;){if(turn>=maxTurns){const shouldContinue=await this.requestContinue(conversationId,signal);if(await new Promise(r2=>setTimeout(r2,0)),!shouldContinue||signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn=0}if(this.updateSession(conversationId,{currentTurn:turn+1}),agenticTimings.turns=turn+1,signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn>0&&createAssistantMessage&& +await createAssistantMessage();let turnContent="",turnReasoningContent="",turnToolCalls=[],lastStreamingToolCallName="",lastStreamingToolCallArgsLength=0,turnTimings;const turnStats={turn:turn+1,llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0},toolCalls:[],toolsMs:0};try{await ChatService.sendMessage(sessionMessages,{...options,stream:!0,tools:tools.length>0?tools:void 0,onChunk:chunk=>{turnContent+=chunk,onChunk?.(chunk)},onReasoningChunk:chunk=>{turnReasoningContent+=chunk,onReasoningChunk?.( +chunk)},onToolCallChunk:serialized=>{try{if(turnToolCalls=JSON.parse(serialized),onToolCallsStreaming?.(turnToolCalls),turnToolCalls.length>0&&turnToolCalls[0]?.function){const name=turnToolCalls[0].function.name||"",args=turnToolCalls[0].function.arguments||"",argsLengthBucket=Math.floor(args.length/100);(name!==lastStreamingToolCallName||argsLengthBucket!==lastStreamingToolCallArgsLength)&&(lastStreamingToolCallName=name,lastStreamingToolCallArgsLength=argsLengthBucket,this.updateSession(conversationId, +{streamingToolCall:{name,arguments:args}}))}}catch{}},onModel,onTimings:(timings,progress)=>{onTimings?.(timings,progress),timings&&(capturedTimings=timings,turnTimings=timings)},onComplete:()=>{},onError:error2=>{throw error2}},void 0,signal),this.updateSession(conversationId,{streamingToolCall:null}),turnTimings&&(agenticTimings.llm.predicted_n+=turnTimings.predicted_n||0,agenticTimings.llm.predicted_ms+=turnTimings.predicted_ms||0,agenticTimings.llm.prompt_n+=turnTimings.prompt_n||0,agenticTimings. +llm.prompt_ms+=turnTimings.prompt_ms||0,turnStats.llm.predicted_n=turnTimings.predicted_n||0,turnStats.llm.predicted_ms=turnTimings.predicted_ms||0,turnStats.llm.prompt_n=turnTimings.prompt_n||0,turnStats.llm.prompt_ms=turnTimings.prompt_ms||0)}catch(error2){if(signal?.aborted){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const normalizedError=error2 instanceof +Error?error2:new Error("LLM stream error");throw onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`),await onAssistantTurnComplete?.(turnContent+`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings)),normalizedError}if(this._steeringMessages.has(conversationId)){console.log("[Agen\ +ticStore] Steering message detected after turn, exiting agentic flow"),await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),turnToolCalls.length>0?this.normalizeToolCalls(turnToolCalls):void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}if(turnToolCalls.length===0){agenticTimings.perTurn.push(turnStats);const finalTimings=this.buildFinalTimings(capturedTimings,agenticTimings);await onAssistantTurnComplete?.( +turnContent,turnReasoningContent||void 0,finalTimings,void 0),finalTimings&&onTurnComplete?.(finalTimings),onFlowComplete?.(finalTimings);return}const normalizedCalls=this.normalizeToolCalls(turnToolCalls);if(normalizedCalls.length===0){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}totalToolCallCount+=normalizedCalls.length,this. +updateSession(conversationId,{totalToolCalls:totalToolCallCount}),await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,turnTimings,normalizedCalls),sessionMessages.push({role:MessageRole.ASSISTANT,content:turnContent||void 0,reasoning_content:turnReasoningContent||void 0,tool_calls:normalizedCalls});for(let i=0;isetTimeout(r2,0)),signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const toolStartTime=performance.now(),toolSource=toolsStore.getToolSource(toolName);let result,toolSuccess=!0;if(permission===ToolPermissionDecision.DENY)result="Tool execution was\ + denied by the user.",toolSuccess=!1;else try{if(toolSource===ToolSource.BUILTIN){const args=this.parseToolArguments(toolCall.function.arguments),executionResult=await ToolsService.executeTool(toolName,args,signal);result=executionResult.content,executionResult.isError&&(toolSuccess=!1)}else{const mcpCall={id:toolCall.id,function:{name:toolName,arguments:toolCall.function.arguments}};result=(await mcpStore.executeTool(mcpCall,signal)).content}}catch(error2){if(isAbortError(error2)){onFlowComplete?.( +this.buildFinalTimings(capturedTimings,agenticTimings));return}result=`Error: ${error2 instanceof Error?error2.message:String(error2)}`,toolSuccess=!1}const toolDurationMs=performance.now()-toolStartTime,toolTiming={name:toolCall.function.name,duration_ms:Math.round(toolDurationMs),success:toolSuccess};if(agenticTimings.toolCalls.push(toolTiming),agenticTimings.toolCallsCount++,agenticTimings.toolsMs+=Math.round(toolDurationMs),turnStats.toolCalls.push(toolTiming),turnStats.toolsMs+=Math.round(toolDurationMs), +signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const{cleanedResult,attachments}=this.extractBase64Attachments(result);let toolResultMessage;createToolResultMessage&&(toolResultMessage=await createToolResultMessage(toolCall.id,cleanedResult,attachments.length>0?attachments:void 0)),attachments.length>0&&toolResultMessage&&onAttachments?.(toolResultMessage.id,attachments);const contentParts=[{type:ContentPartType.TEXT,text:cleanedResult}];for(const attachment of attachments) +attachment.type===AttachmentType.IMAGE&&(modelsStore.modelSupportsVision(effectiveModel)?contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:attachment.base64Url}}):console.info(`[AgenticStore] Skipping image attachment (model "${effectiveModel}" does not support vision)`));sessionMessages.push({role:MessageRole.TOOL,tool_call_id:toolCall.id,content:contentParts.length===1?cleanedResult:contentParts})}if(turnStats.toolCalls.length>0){agenticTimings.perTurn.push(turnStats);const intermediateTimings=this. +buildFinalTimings(capturedTimings,agenticTimings);intermediateTimings&&onTurnComplete?.(intermediateTimings)}if(this._steeringMessages.has(conversationId)){console.log("[AgenticStore] Steering message detected after tool execution, exiting agentic flow"),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn++}}buildFinalTimings(capturedTimings,agenticTimings){return agenticTimings.toolCallsCount===0?capturedTimings:{predicted_n:capturedTimings?.predicted_n,predicted_ms:capturedTimings?. +predicted_ms,prompt_n:capturedTimings?.prompt_n,prompt_ms:capturedTimings?.prompt_ms,cache_n:capturedTimings?.cache_n,agentic:agenticTimings}}normalizeToolCalls(toolCalls){return toolCalls?toolCalls.map((call,index2)=>({id:call?.id??`tool_${index2}`,type:call?.type??ToolCallType.FUNCTION,function:{name:call?.function?.name??"",arguments:call?.function?.arguments??""}})):[]}extractBase64Attachments(result){if(!result.trim())return{cleanedResult:result,attachments:[]};const lines=result.split(NEWLINE_SEPARATOR), +attachments=[];let attachmentIndex=0;return{cleanedResult:lines.map(line=>{const trimmedLine=line.trim(),match=trimmedLine.match(DATA_URI_BASE64_REGEX);if(!match)return line;const mimeType=match[1].toLowerCase();if(!match[2])return line;attachmentIndex+=1;const name=this.buildAttachmentName(mimeType,attachmentIndex);return mimeType.startsWith(MimeTypePrefix.IMAGE)?(attachments.push({type:AttachmentType.IMAGE,name,base64Url:trimmedLine}),`[Attachment saved: ${name}]`):line}).join(NEWLINE_SEPARATOR), +attachments}}buildAttachmentName(mimeType,index2){const extension2=IMAGE_MIME_TO_EXTENSION[mimeType]??DEFAULT_IMAGE_EXTENSION;return`${MCP_ATTACHMENT_NAME_PREFIX}-${Date.now()}-${index2}.${extension2}`}}const agenticStore=new AgenticStore;function agenticPendingPermissionRequest(conversationId){return agenticStore.pendingPermissionRequest(conversationId)}function agenticResolvePermission(conversationId,decision){agenticStore.resolvePermission(conversationId,decision)}function agenticPendingContinueRequest(conversationId){ +return agenticStore.pendingContinueRequest(conversationId)}function agenticResolveContinue(conversationId,shouldContinue){agenticStore.resolveContinue(conversationId,shouldContinue)}function agenticInjectSteeringMessage(conversationId,content2,extras){agenticStore.injectSteeringMessage(conversationId,content2,extras)}function agenticPendingSteeringMessageContent(conversationId){return agenticStore.pendingSteeringMessageContent(conversationId)}function agenticPendingSteeringMessageExtras(conversationId){ +return agenticStore.pendingSteeringMessageExtras(conversationId)}function agenticClearSteeringMessage(conversationId){agenticStore.clearSteeringMessage(conversationId)}class ChatStore{#activeProcessingState=state$1(null);get activeProcessingState(){return get$3(this.#activeProcessingState)}set activeProcessingState(value){set$1(this.#activeProcessingState,value,!0)}#currentResponse=state$1("");get currentResponse(){return get$3(this.#currentResponse)}set currentResponse(value){set$1(this.#currentResponse, +value,!0)}#errorDialogState=state$1(null);get errorDialogState(){return get$3(this.#errorDialogState)}set errorDialogState(value){set$1(this.#errorDialogState,value,!0)}#isLoading=state$1(!1);get isLoading(){return get$3(this.#isLoading)}set isLoading(value){set$1(this.#isLoading,value,!0)}chatLoadingStates=new SvelteMap;chatStreamingStates=new SvelteMap;abortControllers=new SvelteMap;preEncodeAbortController=null;processingStates=new SvelteMap;conversationStateTimestamps=new SvelteMap;#activeConversationId=state$1( +null);get activeConversationId(){return get$3(this.#activeConversationId)}set activeConversationId(value){set$1(this.#activeConversationId,value,!0)}#isStreamingActive=state$1(!1);get isStreamingActive(){return get$3(this.#isStreamingActive)}set isStreamingActive(value){set$1(this.#isStreamingActive,value,!0)}#isEditModeActive=state$1(!1);get isEditModeActive(){return get$3(this.#isEditModeActive)}set isEditModeActive(value){set$1(this.#isEditModeActive,value,!0)}#addFilesHandler=state$1(null);get addFilesHandler(){ +return get$3(this.#addFilesHandler)}set addFilesHandler(value){set$1(this.#addFilesHandler,value,!0)}#pendingEditMessageId=state$1(null);get pendingEditMessageId(){return get$3(this.#pendingEditMessageId)}set pendingEditMessageId(value){set$1(this.#pendingEditMessageId,value,!0)}messageUpdateCallback=null;#_pendingDraftMessage=state$1("");get _pendingDraftMessage(){return get$3(this.#_pendingDraftMessage)}set _pendingDraftMessage(value){set$1(this.#_pendingDraftMessage,value,!0)}#_pendingDraftFiles=state$1( +proxy([]));get _pendingDraftFiles(){return get$3(this.#_pendingDraftFiles)}set _pendingDraftFiles(value){set$1(this.#_pendingDraftFiles,value,!0)}_pendingMessages=new SvelteMap;setChatLoading(convId,loading){this.touchConversationState(convId),loading?(this.chatLoadingStates.set(convId,!0),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!0)):(this.chatLoadingStates.delete(convId),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!1))}setChatStreaming(convId,response,messageId){ +this.touchConversationState(convId),this.chatStreamingStates.set(convId,{response,messageId}),convId===conversationsStore.activeConversation?.id&&(this.currentResponse=response)}clearChatStreaming(convId){this.chatStreamingStates.delete(convId),convId===conversationsStore.activeConversation?.id&&(this.currentResponse="")}getChatStreaming(convId){return this.chatStreamingStates.get(convId)}syncLoadingStateForChat(convId){this.isLoading=this.chatLoadingStates.get(convId)||!1;const s2=this.chatStreamingStates. +get(convId);if(this.currentResponse=s2?.response||"",this.isStreamingActive=s2!==void 0,this.setActiveProcessingConversation(convId),s2?.response&&s2?.messageId){const idx=conversationsStore.findMessageIndex(s2.messageId);idx!==-1&&conversationsStore.updateMessageAtIndex(idx,{content:s2.response})}}clearUIState(){this.isLoading=!1,this.currentResponse="",this.isStreamingActive=!1}setActiveProcessingConversation(conversationId){this.activeConversationId=conversationId,this.activeProcessingState=conversationId&& +this.processingStates.get(conversationId)||null}getProcessingState(conversationId){return this.processingStates.get(conversationId)||null}setProcessingState(conversationId,state2){state2===null?this.processingStates.delete(conversationId):this.processingStates.set(conversationId,state2),conversationId===this.activeConversationId&&(this.activeProcessingState=state2)}clearProcessingState(conversationId){this.processingStates.delete(conversationId),conversationId===this.activeConversationId&&(this. +activeProcessingState=null)}getActiveProcessingState(){return this.activeProcessingState}getCurrentProcessingStateSync(){return this.activeProcessingState}setStreamingActive(active){this.isStreamingActive=active}isStreaming(){return this.isStreamingActive}getOrCreateAbortController(convId){let c2=this.abortControllers.get(convId);return(!c2||c2.signal.aborted)&&(c2=new AbortController,this.abortControllers.set(convId,c2)),c2}abortRequest(convId){if(convId){const c2=this.abortControllers.get(convId); +c2&&(c2.abort(),this.abortControllers.delete(convId))}else{for(const c2 of this.abortControllers.values())c2.abort();this.abortControllers.clear()}}abortCurrentFlow(convId){const c2=this.abortControllers.get(convId);c2&&(c2.abort(),this.abortControllers.delete(convId))}showErrorDialog(state2){this.errorDialogState=state2}dismissErrorDialog(){this.errorDialogState=null}clearEditMode(){this.isEditModeActive=!1,this.addFilesHandler=null}isEditing(){return this.isEditModeActive}setEditModeActive(handler){ +this.isEditModeActive=!0,this.addFilesHandler=handler}getAddFilesHandler(){return this.addFilesHandler}clearPendingEditMessageId(){this.pendingEditMessageId=null}savePendingDraft(message,files){this._pendingDraftMessage=message,this._pendingDraftFiles=[...files]}consumePendingDraft(){if(!this._pendingDraftMessage&&this._pendingDraftFiles.length===0)return null;const d2={message:this._pendingDraftMessage,files:[...this._pendingDraftFiles]};return this._pendingDraftMessage="",this._pendingDraftFiles= +[],d2}hasPendingDraft(){return!!this._pendingDraftMessage||this._pendingDraftFiles.length>0}getAllLoadingChats(){return Array.from(this.chatLoadingStates.keys())}getAllStreamingChats(){return Array.from(this.chatStreamingStates.keys())}getChatStreamingPublic(convId){return this.getChatStreaming(convId)}isChatLoadingPublic(convId){return this.chatLoadingStates.get(convId)||!1}isChatLoadingInternal(convId){return this.chatLoadingStates.has(convId)||this.chatStreamingStates.has(convId)}hasPendingMessage(convId){ +return this._pendingMessages.has(convId)}pendingMessageContent(convId){return this._pendingMessages.get(convId)?.content??null}pendingMessageExtras(convId){return this._pendingMessages.get(convId)?.extras}injectPendingMessage(convId,content2,extras){this._pendingMessages.set(convId,{content:content2,extras})}clearPendingMessage(convId){this._pendingMessages.delete(convId)}consumePendingMessage(convId){const msg=this._pendingMessages.get(convId);return msg?(this._pendingMessages.delete(convId),msg): +null}touchConversationState(convId){this.conversationStateTimestamps.set(convId,{lastAccessed:Date.now()})}cleanupOldConversationStates(activeConversationIds){const now2=Date.now(),activeIdsList=activeConversationIds??[],preserveIds=this.activeConversationId?[...activeIdsList,this.activeConversationId]:activeIdsList,allConvIds=[...new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys(),...this.conversationStateTimestamps. +keys()])],cleanupCandidates=[];for(const convId of allConvIds){if(preserveIds.includes(convId)||this.chatLoadingStates.get(convId)||this.chatStreamingStates.has(convId))continue;const ts=this.conversationStateTimestamps.get(convId);cleanupCandidates.push({convId,lastAccessed:ts?.lastAccessed??0})}cleanupCandidates.sort((a,b)=>a.lastAccessed-b.lastAccessed);let cleanedUp=0;for(const{convId,lastAccessed}of cleanupCandidates)(cleanupCandidates.length-cleanedUp>MAX_INACTIVE_CONVERSATION_STATES||now2- +lastAccessed>INACTIVE_CONVERSATION_STATE_MAX_AGE_MS)&&(this.cleanupConversationState(convId),cleanedUp++);return cleanedUp}cleanupConversationState(convId){const c2=this.abortControllers.get(convId);c2&&!c2.signal.aborted&&c2.abort(),this.chatLoadingStates.delete(convId),this.chatStreamingStates.delete(convId),this.abortControllers.delete(convId),this.processingStates.delete(convId),this.conversationStateTimestamps.delete(convId)}getTrackedConversationCount(){return new Set([...this.chatLoadingStates. +keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys()]).size}getMessageByIdWithRole(messageId,expectedRole){const index2=conversationsStore.findMessageIndex(messageId);if(index2===-1)return null;const message=conversationsStore.activeMessages[index2];return expectedRole&&message.role!==expectedRole?null:{message,index:index2}}async addMessage(role,content2,type2=MessageType.TEXT,parent="-1",extras){const activeConv=conversationsStore.activeConversation; +if(!activeConv)throw new Error("No active conversation");let parentId=null;if(parent==="-1"){const am=conversationsStore.activeMessages;if(am.length>0)parentId=am[am.length-1].id;else{const r2=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.parent===null&&m.type==="root");parentId=r2?r2.id:await DatabaseService.createRootMessage(activeConv.id)}}else parentId=parent;const message=await DatabaseService.createMessageBranch({convId:activeConv.id,role,content:content2,type:type2, +timestamp:Date.now(),toolCalls:"",children:[],extra:extras},parentId);return conversationsStore.addMessageToActive(message),await conversationsStore.updateCurrentNode(message.id),conversationsStore.updateConversationTimestamp(),message}async addSystemPrompt(){let activeConv=conversationsStore.activeConversation;if(activeConv||(await conversationsStore.createConversation(),activeConv=conversationsStore.activeConversation),!!activeConv)try{const allMessages=await conversationsStore.getConversationMessages( +activeConv.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),rootId=rootMessage?rootMessage.id:await DatabaseService.createRootMessage(activeConv.id),existingSystemMessage=allMessages.find(m=>m.role===MessageRole.SYSTEM&&m.parent===rootId);if(existingSystemMessage){this.pendingEditMessageId=existingSystemMessage.id,conversationsStore.activeMessages.some(m=>m.id===existingSystemMessage.id)||conversationsStore.activeMessages.unshift(existingSystemMessage);return}const firstActiveMessage=conversationsStore. +activeMessages.find(m=>m.parent===rootId),systemMessage=await DatabaseService.createSystemMessage(activeConv.id,SYSTEM_MESSAGE_PLACEHOLDER,rootId);if(firstActiveMessage){await DatabaseService.updateMessage(firstActiveMessage.id,{parent:systemMessage.id}),await DatabaseService.updateMessage(systemMessage.id,{children:[firstActiveMessage.id]});const updatedRootChildren=rootMessage?rootMessage.children.filter(id2=>id2!==firstActiveMessage.id):[];await DatabaseService.updateMessage(rootId,{children:[ +...updatedRootChildren.filter(id2=>id2!==systemMessage.id),systemMessage.id]});const firstMsgIndex=conversationsStore.findMessageIndex(firstActiveMessage.id);firstMsgIndex!==-1&&conversationsStore.updateMessageAtIndex(firstMsgIndex,{parent:systemMessage.id})}conversationsStore.activeMessages.unshift(systemMessage),this.pendingEditMessageId=systemMessage.id,conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to add system prompt:",error2)}}async removeSystemPromptPlaceholder(messageId){ +const activeConv=conversationsStore.activeConversation;if(!activeConv)return!1;try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),systemMessage=findMessageById(allMessages,messageId);if(!systemMessage||systemMessage.role!==MessageRole.SYSTEM)return!1;const rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null);if(!rootMessage)return!1;if(allMessages.length===2&&systemMessage.children.length===0)return await conversationsStore.deleteConversation(activeConv. +id),!0;for(const childId of systemMessage.children){await DatabaseService.updateMessage(childId,{parent:rootMessage.id});const childIndex=conversationsStore.findMessageIndex(childId);childIndex!==-1&&conversationsStore.updateMessageAtIndex(childIndex,{parent:rootMessage.id})}await DatabaseService.updateMessage(rootMessage.id,{children:[...rootMessage.children.filter(id2=>id2!==messageId),...systemMessage.children]}),await DatabaseService.deleteMessage(messageId);const systemIndex=conversationsStore. +findMessageIndex(messageId);return systemIndex!==-1&&conversationsStore.activeMessages.splice(systemIndex,1),conversationsStore.updateConversationTimestamp(),!1}catch(error2){return console.error("Failed to remove system prompt placeholder:",error2),!1}}async createAssistantMessage(parentId){const activeConv=conversationsStore.activeConversation;if(!activeConv)throw new Error("No active conversation");return await DatabaseService.createMessageBranch({convId:activeConv.id,type:MessageType.TEXT,role:MessageRole. +ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:null},parentId||null)}async sendMessage(content2,extras){if(!content2.trim()&&(!extras||extras.length===0))return;const activeConv=conversationsStore.activeConversation;if(activeConv&&agenticStore.isRunning(activeConv.id)){agenticStore.injectSteeringMessage(activeConv.id,content2,extras);return}if(activeConv&&this.isChatLoadingInternal(activeConv.id)){this.injectPendingMessage(activeConv.id,content2,extras);return}this.cancelPreEncode(); +const resourceExtras=mcpStore.consumeResourceAttachmentsAsExtras(),allExtras=resourceExtras.length>0?[...extras||[],...resourceExtras]:extras;let isNewConversation=!1;activeConv||(await conversationsStore.createConversation(),isNewConversation=!0);const currentConv=conversationsStore.activeConversation;if(currentConv){this.showErrorDialog(null),this.setChatLoading(currentConv.id,!0),this.clearChatStreaming(currentConv.id);try{let parentIdForUserMessage;if(isNewConversation){const rootId=await DatabaseService. +createRootMessage(currentConv.id),systemPrompt=config$1().systemMessage?.toString().trim();if(systemPrompt){const systemMessage=await DatabaseService.createSystemMessage(currentConv.id,systemPrompt,rootId);conversationsStore.addMessageToActive(systemMessage),parentIdForUserMessage=systemMessage.id}else parentIdForUserMessage=rootId}const userMessage=await this.addMessage(MessageRole.USER,content2,MessageType.TEXT,parentIdForUserMessage??"-1",allExtras);isNewConversation&&content2&&await conversationsStore. +updateConversationName(currentConv.id,generateConversationTitle(content2,!!config$1().titleGenerationUseFirstLine));const assistantMessage=await this.createAssistantMessage(userMessage.id);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage,void 0,void 0,void 0,config$1().titleGenerationUseLLM&&isNewConversation?content2:void 0)}catch(error2){if(isAbortError(error2)){this.setChatLoading(currentConv. +id,!1);return}console.error("Failed to send message:",error2),this.setChatLoading(currentConv.id,!1);const dialogType=error2 instanceof Error&&error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,contextInfo=error2.contextInfo;this.showErrorDialog({type:dialogType,message:error2 instanceof Error?error2.message:"Unknown error",contextInfo})}}}async streamChatCompletion(allMessages,assistantMessage,onComplete,onError,modelOverride,firstUserMessageContent){let effectiveModel=modelOverride; +if(isRouterMode()&&!effectiveModel){const conversationModel=this.getConversationModel(allMessages);effectiveModel=selectedModelName()||conversationModel}isRouterMode()&&effectiveModel&&(modelsStore.getModelProps(effectiveModel)||await modelsStore.fetchModelProps(effectiveModel));let currentMessageId=assistantMessage.id,streamedContent="",streamedReasoningContent="",resolvedModel=null,modelPersisted=!1;const convId=assistantMessage.convId,recordModel=(modelName,persistImmediately=!0)=>{if(!modelName) +return;const n=normalizeModelName(modelName);if(!n||n===resolvedModel)return;resolvedModel=n;const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{model:n}),persistImmediately&&!modelPersisted&&(modelPersisted=!0,DatabaseService.updateMessage(currentMessageId,{model:n}).catch(()=>{modelPersisted=!1,resolvedModel=null}))},updateStreamingUI=()=>{this.setChatStreaming(convId,streamedContent,currentMessageId);const idx=conversationsStore.findMessageIndex( +currentMessageId);conversationsStore.updateMessageAtIndex(idx,{content:streamedContent})},cleanupStreamingState=()=>{this.setStreamingActive(!1),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null)};this.setStreamingActive(!0),this.setActiveProcessingConversation(convId);const abortController=this.getOrCreateAbortController(convId),streamCallbacks={onChunk:chunk=>{streamedContent+=chunk,updateStreamingUI()},onReasoningChunk:chunk=>{streamedReasoningContent+= +chunk,this.setChatStreaming(convId,streamedContent,currentMessageId);const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{reasoningContent:streamedReasoningContent})},onToolCallsStreaming:toolCalls=>{const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{toolCalls:JSON.stringify(toolCalls)})},onAttachments:(messageId,extras)=>{if(!extras.length)return;const idx=conversationsStore.findMessageIndex( +messageId);if(idx===-1)return;const updatedExtras=[...conversationsStore.activeMessages[idx].extra||[],...extras];conversationsStore.updateMessageAtIndex(idx,{extra:updatedExtras}),DatabaseService.updateMessage(messageId,{extra:updatedExtras}).catch(console.error)},onModel:modelName=>recordModel(modelName),onTurnComplete:intermediateTimings=>{const idx=conversationsStore.findMessageIndex(assistantMessage.id);conversationsStore.updateMessageAtIndex(idx,{timings:intermediateTimings})},onTimings:(timings,promptProgress)=>{ +const tokensPerSecond=timings?.predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:timings?.prompt_n||0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress},convId)},onAssistantTurnComplete:async(content2,reasoningContent,timings,toolCalls)=>{const updateData={content:content2,reasoningContent:reasoningContent|| +void 0,toolCalls:toolCalls?JSON.stringify(toolCalls):"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoningContent||void 0,toolCalls:toolCalls?JSON.stringify(toolCalls):""};timings&&(uiUpdate.timings=timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex( +idx,uiUpdate),await conversationsStore.updateCurrentNode(currentMessageId)},createToolResultMessage:async(toolCallId,content2,extras)=>{const msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:content2,toolCallId,timestamp:Date.now(),toolCalls:"",children:[],extra:extras},currentMessageId);return conversationsStore.addMessageToActive(msg),await conversationsStore.updateCurrentNode(msg.id),msg},createAssistantMessage:async()=>{streamedContent= +"",streamedReasoningContent="";const lastMsg=conversationsStore.activeMessages[conversationsStore.activeMessages.length-1],msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:resolvedModel},lastMsg.id);return conversationsStore.addMessageToActive(msg),currentMessageId=msg.id,msg},onFlowComplete:finalTimings=>{if(finalTimings){const idx=conversationsStore.findMessageIndex(assistantMessage. +id);conversationsStore.updateMessageAtIndex(idx,{timings:finalTimings}),DatabaseService.updateMessage(assistantMessage.id,{timings:finalTimings}).catch(console.error)}cleanupStreamingState(),onComplete&&onComplete(streamedContent),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error),config$1().preEncodeConversation&&this.triggerPreEncode(allMessages,assistantMessage,streamedContent,effectiveModel,!!config$1().excludeReasoningFromContext)},onError:error2=>{if(this.setStreamingActive( +!1),isAbortError(error2)){cleanupStreamingState();const pending=this.consumePendingMessage(convId);pending&&this.sendMessage(pending.content,pending.extras);return}console.error("Streaming error:",error2),cleanupStreamingState(),this.clearPendingMessage(convId);const idx=conversationsStore.findMessageIndex(assistantMessage.id);if(idx!==-1){const failedMessage=conversationsStore.removeMessageAtIndex(idx);failedMessage&&DatabaseService.deleteMessage(failedMessage.id).catch(console.error)}const contextInfo=error2. +contextInfo;this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,message:error2.message,contextInfo}),onError&&onError(error2)}},perChatOverrides=conversationsStore.activeConversation?.mcpServerOverrides;if((await agenticStore.runAgenticFlow({conversationId:convId,messages:allMessages,options:{...this.getApiOptions(),...effectiveModel?{model:effectiveModel}:{}},callbacks:streamCallbacks,signal:abortController.signal,perChatOverrides})).handled){firstUserMessageContent&& +await this.generateTitleWithLLM(firstUserMessageContent,streamedContent,convId);const pending=agenticStore.consumePendingSteeringMessage(convId);pending&&await this.sendMessage(pending.content,pending.extras);return}await ChatService.sendMessage(allMessages,{...this.getApiOptions(),...effectiveModel?{model:effectiveModel}:{},stream:!0,onChunk:streamCallbacks.onChunk,onReasoningChunk:streamCallbacks.onReasoningChunk,onModel:streamCallbacks.onModel,onTimings:streamCallbacks.onTimings,onComplete:async(finalContent,reasoningContent,timings,toolCalls)=>{ +const content2=streamedContent||finalContent||"",reasoning=streamedReasoningContent||reasoningContent,updateData={content:content2,reasoningContent:reasoning||void 0,toolCalls:toolCalls||"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoning||void 0,toolCalls:toolCalls||""};timings&&(uiUpdate.timings= +timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex(idx,uiUpdate),await conversationsStore.updateCurrentNode(currentMessageId),cleanupStreamingState(),onComplete&&await onComplete(content2),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error),firstUserMessageContent&&await this.generateTitleWithLLM(firstUserMessageContent,streamedContent,convId);const pending=this.consumePendingMessage(convId);pending&&await this.sendMessage(pending.content, +pending.extras)},onError:streamCallbacks.onError},convId,abortController.signal)}async stopGeneration(){const activeConv=conversationsStore.activeConversation;activeConv&&await this.stopGenerationForChat(activeConv.id)}async stopGenerationForChat(convId){await this.savePartialResponseIfNeeded(convId),this.setStreamingActive(!1),this.abortRequest(convId),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null),this.clearPendingMessage(convId)}async generateTitleWithLLM(userContent,assistantContent,convId){ +const effectiveModel=isRouterMode()&&selectedModelName()?selectedModelName():void 0,configValue=config$1(),titlePrompt=(typeof configValue.titleGenerationPrompt=="string"&&configValue.titleGenerationPrompt.trim()?configValue.titleGenerationPrompt:TITLE_GENERATION.DEFAULT_PROMPT).replace("{{USER}}",String(userContent||"")).replace("{{ASSISTANT}}",String(assistantContent||"")),titleMessage={role:MessageRole.USER,content:titlePrompt},titleResponse=await ChatService.generateTitle(titleMessage,effectiveModel); +if(!titleResponse)return;let cleanTitle=titleResponse.trim();if(cleanTitle=cleanTitle.replace(TITLE_GENERATION.PREFIX_PATTERN,"").replace(TITLE_GENERATION.QUOTE_PATTERN,"").trim(),!cleanTitle||cleanTitle.lengthl.trim().length>0);cleanTitle=firstLine?firstLine.trim():TITLE_GENERATION.FALLBACK}cleanTitle&&cleanTitle.length>=TITLE_GENERATION.MIN_LENGTH&&await conversationsStore.updateConversationName(convId,cleanTitle)}async savePartialResponseIfNeeded(convId){const conversationId=convId||conversationsStore.activeConversation?.id;if(!conversationId)return;const streamingState=this.getChatStreaming(conversationId);if(!streamingState)return;const messages=conversationId===conversationsStore.activeConversation?. +id?conversationsStore.activeMessages:await conversationsStore.getConversationMessages(conversationId);if(!messages.length)return;const lastMessage=messages[messages.length-1];if(lastMessage?.role!==MessageRole.ASSISTANT)return;const partialContent=streamingState.response,partialReasoning=lastMessage.reasoningContent||"";if(!(!partialContent.trim()&&!partialReasoning.trim()))try{const updateData={content:partialContent};partialReasoning&&(updateData.reasoningContent=partialReasoning);const lastKnownState=this. +getProcessingState(conversationId);lastKnownState&&(updateData.timings={prompt_n:lastKnownState.promptTokens||0,prompt_ms:lastKnownState.promptMs,predicted_n:lastKnownState.tokensDecoded||0,cache_n:lastKnownState.cacheTokens||0,predicted_ms:lastKnownState.tokensPerSecond&&lastKnownState.tokensDecoded?lastKnownState.tokensDecoded/lastKnownState.tokensPerSecond*1e3:void 0}),await DatabaseService.updateMessage(lastMessage.id,updateData),lastMessage.content=partialContent,updateData.timings&&(lastMessage. +timings=updateData.timings)}catch(error2){lastMessage.content=partialContent,console.error("Failed to save partial response:",error2)}}async updateMessage(messageId,newContent){const activeConv=conversationsStore.activeConversation;if(!activeConv)return;this.isChatLoadingInternal(activeConv.id)&&await this.stopGeneration();const result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(!result)return;const{message:messageToUpdate,index:messageIndex}=result,originalContent=messageToUpdate. +content;try{const rootMessage=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.type==="root"&&m.parent===null),isFirstUserMessage=rootMessage&&messageToUpdate.parent===rootMessage.id;conversationsStore.updateMessageAtIndex(messageIndex,{content:newContent}),await DatabaseService.updateMessage(messageId,{content:newContent}),isFirstUserMessage&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv.id,generateConversationTitle(newContent, +!!config$1().titleGenerationUseFirstLine));const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex+1);for(const message of messagesToRemove)await DatabaseService.deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex+1),conversationsStore.updateConversationTimestamp(),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const assistantMessage=await this.createAssistantMessage();conversationsStore.addMessageToActive(assistantMessage), +await conversationsStore.updateCurrentNode(assistantMessage.id),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage,void 0,()=>{conversationsStore.updateMessageAtIndex(conversationsStore.findMessageIndex(messageId),{content:originalContent})})}catch(error2){isAbortError(error2)||console.error("Failed to update message:",error2)}}async regenerateMessage(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal( +activeConv.id))return;this.cancelPreEncode();const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{index:messageIndex}=result;try{const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex);for(const message of messagesToRemove)await DatabaseService.deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex),conversationsStore.updateConversationTimestamp(),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming( +activeConv.id);const parentMessageId=conversationsStore.activeMessages.length>0?conversationsStore.activeMessages[conversationsStore.activeMessages.length-1].id:void 0,assistantMessage=await this.createAssistantMessage(parentMessageId);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage)}catch(error2){isAbortError(error2)||console.error("Failed to regenerate message:",error2),this.setChatLoading(activeConv?. +id||"",!1)}}async regenerateMessageWithBranching(messageId,modelOverride){const activeConv=conversationsStore.activeConversation;if(!(!activeConv||this.isChatLoadingInternal(activeConv.id))){this.cancelPreEncode();try{const idx=conversationsStore.findMessageIndex(messageId);if(idx===-1)return;const msg=conversationsStore.activeMessages[idx];if(msg.role!==MessageRole.ASSISTANT)return;const allMessages=await conversationsStore.getConversationMessages(activeConv.id),parentMessage=findMessageById(allMessages, +msg.parent);if(!parentMessage)return;this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const newAssistantMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.now(),role:msg.role,content:"",toolCalls:"",children:[],model:null},parentMessage.id);await conversationsStore.updateCurrentNode(newAssistantMessage.id),conversationsStore.updateConversationTimestamp(),await conversationsStore.refreshActiveMessages();const conversationPath=filterByLeafNodeId( +allMessages,parentMessage.id,!1),modelToUse=modelOverride||msg.model||void 0;await this.streamChatCompletion(conversationPath,newAssistantMessage,void 0,void 0,modelToUse)}catch(error2){isAbortError(error2)||console.error("Failed to regenerate message with branching:",error2),this.setChatLoading(activeConv?.id||"",!1)}}}async getDeletionInfo(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv)return{totalCount:0,userMessages:0,assistantMessages:0,messageTypes:[]};const allMessages=await conversationsStore. +getConversationMessages(activeConv.id);if(findMessageById(allMessages,messageId)?.role===MessageRole.SYSTEM){const messagesToDelete2=allMessages.filter(m=>m.id===messageId);let userMessages2=0,assistantMessages2=0;const messageTypes2=[];for(const msg of messagesToDelete2)msg.role===MessageRole.USER?(userMessages2++,messageTypes2.includes("user message")||messageTypes2.push("user message")):msg.role===MessageRole.ASSISTANT&&(assistantMessages2++,messageTypes2.includes("assistant response")||messageTypes2. +push("assistant response"));return{totalCount:1,userMessages:userMessages2,assistantMessages:assistantMessages2,messageTypes:messageTypes2}}const descendants=findDescendantMessages(allMessages,messageId),allToDelete=[messageId,...descendants],messagesToDelete=allMessages.filter(m=>allToDelete.includes(m.id));let userMessages=0,assistantMessages=0;const messageTypes=[];for(const msg of messagesToDelete)msg.role===MessageRole.USER?(userMessages++,messageTypes.includes("user message")||messageTypes. +push("user message")):msg.role===MessageRole.ASSISTANT&&(assistantMessages++,messageTypes.includes("assistant response")||messageTypes.push("assistant response"));return{totalCount:allToDelete.length,userMessages,assistantMessages,messageTypes}}async deleteMessage(messageId){const activeConv=conversationsStore.activeConversation;if(activeConv)try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),messageToDelete=findMessageById(allMessages,messageId);if(!messageToDelete) +return;if(filterByLeafNodeId(allMessages,activeConv.currNode||"",!1).some(m=>m.id===messageId)&&messageToDelete.parent){const siblings2=allMessages.filter(m=>m.parent===messageToDelete.parent&&m.id!==messageId);if(siblings2.length>0){const latestSibling=siblings2.reduce((latest,sibling2)=>sibling2.timestamp>latest.timestamp?sibling2:latest);await conversationsStore.updateCurrentNode(findLeafNode(allMessages,latestSibling.id))}else messageToDelete.parent&&await conversationsStore.updateCurrentNode( +findLeafNode(allMessages,messageToDelete.parent))}await DatabaseService.deleteMessageCascading(activeConv.id,messageId),await conversationsStore.refreshActiveMessages(),conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to delete message:",error2)}}async continueAssistantMessage(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole. +ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;try{this.showErrorDialog(null),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const allMessages=await conversationsStore.getConversationMessages(activeConv.id),dbMessage=findMessageById(allMessages,messageId);if(!dbMessage){this.setChatLoading(activeConv.id,!1);return}const originalContent=dbMessage.content,originalReasoning=dbMessage.reasoningContent||"",contextWithContinue=[...conversationsStore.activeMessages. +slice(0,idx),{role:MessageRole.ASSISTANT,content:originalContent,reasoning_content:originalReasoning||void 0}];let appendedContent="",appendedReasoning="",hasReceivedContent=!1;const updateStreamingContent=fullContent=>{this.setChatStreaming(msg.convId,fullContent,msg.id),conversationsStore.updateMessageAtIndex(idx,{content:fullContent})},abortController=this.getOrCreateAbortController(msg.convId);await ChatService.sendMessage(contextWithContinue,{...this.getApiOptions(),onChunk:chunk=>{appendedContent+= +chunk,hasReceivedContent=!0,updateStreamingContent(originalContent+appendedContent)},onReasoningChunk:chunk=>{appendedReasoning+=chunk,hasReceivedContent=!0,this.setChatStreaming(msg.convId,originalContent+appendedContent,msg.id),conversationsStore.updateMessageAtIndex(idx,{reasoningContent:originalReasoning+appendedReasoning})},onTimings:(timings,promptProgress)=>{const tokensPerSecond=timings?.predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings( +{prompt_n:timings?.prompt_n||0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress},msg.convId)},onComplete:async(finalContent,reasoningContent,timings)=>{const finalAppendedContent=hasReceivedContent?appendedContent:finalContent||"",finalAppendedReasoning=hasReceivedContent?appendedReasoning:reasoningContent||"",fullContent=originalContent+finalAppendedContent,fullReasoning=originalReasoning+ +finalAppendedReasoning||void 0;await DatabaseService.updateMessage(msg.id,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateMessageAtIndex(idx,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateConversationTimestamp(),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null)},onError:async error2=>{if(isAbortError(error2)){hasReceivedContent&& +appendedContent&&(await DatabaseService.updateMessage(msg.id,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()}),conversationsStore.updateMessageAtIndex(idx,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()})),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null);return}console.error("Continue g\ +eneration error:",error2),conversationsStore.updateMessageAtIndex(idx,{content:originalContent}),await DatabaseService.updateMessage(msg.id,{content:originalContent}),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null),this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,message:error2.message})}},msg.convId,abortController.signal)}catch(error2){isAbortError(error2)||console.error("Faile\ +d to continue message:",error2),activeConv&&this.setChatLoading(activeConv.id,!1)}}async editAssistantMessage(messageId,newContent,shouldBranch){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;try{if(shouldBranch){const newMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg. +type,timestamp:Date.now(),role:msg.role,content:newContent,toolCalls:msg.toolCalls||"",children:[],model:msg.model},msg.parent);await conversationsStore.updateCurrentNode(newMessage.id)}else await DatabaseService.updateMessage(msg.id,{content:newContent}),conversationsStore.updateMessageAtIndex(idx,{content:newContent});conversationsStore.updateConversationTimestamp(),await conversationsStore.refreshActiveMessages()}catch(error2){console.error("Failed to edit assistant message:",error2)}}async editUserMessagePreserveResponses(messageId,newContent,newExtras){ const activeConv=conversationsStore.activeConversation;if(!activeConv)return;const result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(!result)return;const{message:msg,index:idx}=result;try{const updateData={content:newContent};newExtras!==void 0&&(updateData.extra=JSON.parse(JSON.stringify(newExtras))),await DatabaseService.updateMessage(messageId,updateData),conversationsStore.updateMessageAtIndex(idx,updateData);const rootMessage=(await conversationsStore.getConversationMessages( activeConv.id)).find(m=>m.type==="root"&&m.parent===null);rootMessage&&msg.parent===rootMessage.id&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv.id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine)),conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to edit user message:",error2)}}async editMessageWithBranching(messageId,newContent,newExtras){const activeConv=conversationsStore.activeConversation; if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;let result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(result||(result=this.getMessageByIdWithRole(messageId,MessageRole.SYSTEM)),!result)return;const{message:msg,index:idx}=result;try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),isFirstUserMessage=msg.role===MessageRole.USER&&rootMessage&&msg.parent===rootMessage.id, @@ -6813,830 +6534,682 @@ hasValue(currentConfig.frequency_penalty)&&(apiOptions.frequency_penalty=Number( currentConfig.dry_penalty_last_n)),currentConfig.samplers&&(apiOptions.samplers=currentConfig.samplers),apiOptions.backend_sampling=currentConfig.backend_sampling,currentConfig.custom&&(apiOptions.custom=currentConfig.custom),apiOptions}cancelPreEncode(){this.preEncodeAbortController&&(this.preEncodeAbortController.abort(),this.preEncodeAbortController=null)}async triggerPreEncode(allMessages,assistantMessage,assistantContent,model,excludeReasoning){this.cancelPreEncode(),this.preEncodeAbortController= new AbortController;const signal=this.preEncodeAbortController.signal;try{if(!await ChatService.areAllSlotsIdle(model,signal)||signal.aborted)return;const messagesWithAssistant=[...allMessages,{...assistantMessage,content:assistantContent}];await ChatService.preEncode(messagesWithAssistant,model,excludeReasoning,signal)}catch(err){isAbortError(err)||console.warn("[ChatStore] Pre-encode failed:",err)}}}const chatStore=new ChatStore,activeProcessingState=()=>chatStore.activeProcessingState,errorDialog=()=>chatStore. errorDialogState,getAddFilesHandler=()=>chatStore.getAddFilesHandler(),getAllLoadingChats=()=>chatStore.getAllLoadingChats(),isChatStreaming=()=>chatStore.isStreaming(),isEditing=()=>chatStore.isEditing(),isLoading=()=>chatStore.isLoading,pendingEditMessageId=()=>chatStore.pendingEditMessageId,chatPendingMessageContent=convId=>chatStore.pendingMessageContent(convId),chatPendingMessageExtras=convId=>chatStore.pendingMessageExtras(convId),chatClearPendingMessage=convId=>chatStore.clearPendingMessage( -convId),chatInjectPendingMessage=(convId,content2,extras)=>chatStore.injectPendingMessage(convId,content2,extras);var root$15=from_html('
          ',1);function ChatForm($$anchor,$$props){push$1($$props,!0);let attachments=prop($$props,"attachments",19,()=>[]),className=prop($$props, -"class",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,"isLoading",3,!1),placeholder=prop($$props,"placeholder",3,"Type a message..."),showMcpPromptButton=prop($$props,"showMcpPromptButton",3,!1),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy([])),value=prop($$props,"value",15,""),audioRecorder,chatFormActionsRef=state$1(void 0),fileInputRef=state$1(void 0),promptPickerRef=state$1(void 0),resourcePickerRef=state$1(void 0),textareaRef=state$1(void 0),isRecording=state$1( -!1),recordingSupported=state$1(!1),isPromptPickerOpen=state$1(!1),promptSearchQuery=state$1(""),isInlineResourcePickerOpen=state$1(!1),resourceSearchQuery=state$1(""),isResourceDialogOpen=state$1(!1),preSelectedResourceUri=state$1(void 0),currentConfig=user_derived(config$1),pasteLongTextToFileLength=user_derived(()=>{const n=Number(get$3(currentConfig).pasteLongTextToFileLen);return Number.isNaN(n)?Number(SETTING_CONFIG_DEFAULT.pasteLongTextToFileLen):n}),isRouter=user_derived(isRouterMode),conversationModel=user_derived( -()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}),hasModelSelected=user_derived(()=>!get$3(isRouter)||!!get$3( -conversationModel)||!!selectedModelId()),hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading)),hasAttachments=user_derived(()=>attachments()&&attachments().length>0||uploadedFiles()&&uploadedFiles().length>0),canSubmit=user_derived(()=>value().trim().length>0||get$3(hasAttachments));onMount$1(()=>{set$1(recordingSupported,isAudioRecordingSupported(),!0),audioRecorder=new AudioRecorder});function focus2(){get$3(textareaRef)?.focus()}function resetTextareaHeight(){get$3(textareaRef)?. -resetHeight()}function openModelSelector(){get$3(chatFormActionsRef)?.openModelSelector()}function checkModelSelected(){return get$3(hasModelSelected)?!0:(get$3(chatFormActionsRef)?.openModelSelector(),!1)}function handleFileSelect(files){$$props.onFilesAdd?.(files)}function handleFileUpload(){get$3(fileInputRef)?.click()}function handleFileRemove(fileId){if(fileId.startsWith("attachment-")){const index2=parseInt(fileId.replace("attachment-",""),10);!isNaN(index2)&&index2>=0&&index2item.kind==="file").map(item=>item.getAsFile()).filter(file=>file!==null);if(files.length>0){event2.preventDefault(),$$props.onFilesAdd?.(files);return}const text2=event2.clipboardData.getData(MimeTypeText.PLAIN);if(text2.startsWith(CLIPBOARD_CONTENT_QUOTE_PREFIX)){const parsed=parseClipboardContent(text2);if(parsed. -textAttachments.length>0||parsed.mcpPromptAttachments.length>0){if(event2.preventDefault(),value(parsed.message),$$props.onValueChange?.(parsed.message),parsed.textAttachments.length>0){const attachmentFiles=parsed.textAttachments.map(att=>new File([att.content],att.name,{type:MimeTypeText.PLAIN}));$$props.onFilesAdd?.(attachmentFiles)}if(parsed.mcpPromptAttachments.length>0){const mcpPromptFiles=parsed.mcpPromptAttachments.map(att=>({id:uuid$1(),name:att.name,size:att.content.length,type:SpecialFileType. -MCP_PROMPT,file:new File([att.content],`${att.name}${FileExtensionText.TXT}`,{type:MimeTypeText.PLAIN}),isLoading:!1,textContent:att.content,mcpPrompt:{serverName:att.serverName,promptName:att.promptName,arguments:att.arguments}}));uploadedFiles([...uploadedFiles(),...mcpPromptFiles]),$$props.onUploadedFilesChange?.(uploadedFiles())}setTimeout(()=>{get$3(textareaRef)?.focus()},10);return}}if(text2.length>0&&get$3(pasteLongTextToFileLength)>0&&text2.length>get$3(pasteLongTextToFileLength)){event2. -preventDefault();const textFile=new File([text2],"Pasted",{type:MimeTypeText.PLAIN});$$props.onFilesAdd?.([textFile])}}function handlePromptLoadStart(placeholderId,promptInfo,args){value().startsWith(PROMPT_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"");const promptName=promptInfo.title||promptInfo.name,placeholder2={id:placeholderId,name:promptName,size:INITIAL_FILE_SIZE,type:SpecialFileType.MCP_PROMPT,file:new File([],"loading"), -isLoading:!0,mcpPrompt:{serverName:promptInfo.serverName,promptName:promptInfo.name,arguments:args?{...args}:void 0}};uploadedFiles([...uploadedFiles(),placeholder2]),$$props.onUploadedFilesChange?.(uploadedFiles()),get$3(textareaRef)?.focus()}function handlePromptLoadComplete(placeholderId,result){const promptText=result.messages?.map(msg=>typeof msg.content=="string"?msg.content:msg.content.type===ContentPartType.TEXT?msg.content.text:"").filter(Boolean).join(PROMPT_CONTENT_SEPARATOR);uploadedFiles( -uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,textContent:promptText,size:promptText.length,file:new File([promptText],`${f.name}${FileExtensionText.TXT}`,{type:MimeTypeText.PLAIN})}:f)),$$props.onUploadedFilesChange?.(uploadedFiles())}function handlePromptLoadError(placeholderId,error2){uploadedFiles(uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,loadError:error2}:f)),$$props.onUploadedFilesChange?.(uploadedFiles())}function handlePromptPickerClose(){set$1(isPromptPickerOpen, -!1),set$1(promptSearchQuery,""),get$3(textareaRef)?.focus()}function handleInlineResourcePickerClose(){set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$3(textareaRef)?.focus()}function handleInlineResourceSelect(){value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$3(textareaRef)?.focus()}function handleBrowseResources(){set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery, -""),value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isResourceDialogOpen,!0)}async function handleMicClick(){if(!audioRecorder||!get$3(recordingSupported)){console.warn("Audio recording not supported");return}if(get$3(isRecording)){set$1(isRecording,!1);try{const audioBlob=await audioRecorder.stopRecording(),wavBlob=await convertToWav(audioBlob),audioFile=createAudioFile(wavBlob);$$props.onFilesAdd?.([audioFile])}catch(error2){console.error("Failed to s\ -top recording:",error2)}}else try{await audioRecorder.startRecording(),set$1(isRecording,!0)}catch(error2){console.error("Failed to start recording:",error2)}}var $$exports={focus:focus2,resetTextareaHeight,openModelSelector,checkModelSelected},fragment=root$15(),node2=first_child(fragment);bind_this(ChatFormFileInputInvisible(node2,{onFileSelect:handleFileSelect}),$$value=>set$1(fileInputRef,$$value,!0),()=>get$3(fileInputRef));var form=sibling(node2,2),node_1=child(form);bind_this(ChatFormPromptPicker( -node_1,{get isOpen(){return get$3(isPromptPickerOpen)},get searchQuery(){return get$3(promptSearchQuery)},onClose:handlePromptPickerClose,onPromptLoadStart:handlePromptLoadStart,onPromptLoadComplete:handlePromptLoadComplete,onPromptLoadError:handlePromptLoadError}),$$value=>set$1(promptPickerRef,$$value,!0),()=>get$3(promptPickerRef));var node_2=sibling(node_1,2);bind_this(ChatFormResourcePicker(node_2,{get isOpen(){return get$3(isInlineResourcePickerOpen)},get searchQuery(){return get$3(resourceSearchQuery)}, -onClose:handleInlineResourcePickerClose,onResourceSelect:handleInlineResourceSelect,onBrowse:handleBrowseResources}),$$value=>set$1(resourcePickerRef,$$value,!0),()=>get$3(resourcePickerRef));var div=sibling(node_2,2),node_3=child(div);{let $0=user_derived(()=>get$3(activeModelId)??void 0);ChatAttachmentsList(node_3,{get attachments(){return attachments()},onFileRemove:handleFileRemove,limitToSingleRow:!0,class:"py-5",style:"scroll-padding: 1rem;",get activeModelId(){return get$3($0)},get uploadedFiles(){ -return uploadedFiles()},set uploadedFiles($$value){uploadedFiles($$value)}})}var div_1=sibling(node_3,2),node_4=child(div_1);bind_this(ChatFormTextarea(node_4,{class:"px-5 py-1.5 md:pt-0",onKeydown:handleKeydown,onInput:()=>{handleInput(),$$props.onValueChange?.(value())},get disabled(){return disabled()},get placeholder(){return placeholder()},get value(){return value()},set value($$value){value($$value)}}),$$value=>set$1(textareaRef,$$value,!0),()=>get$3(textareaRef));var node_5=sibling(node_4, -2);{var consequent=$$anchor2=>{ChatAttachmentMcpResources($$anchor2,{class:"mb-3",onResourceClick:uri2=>{set$1(preSelectedResourceUri,uri2,!0),set$1(isResourceDialogOpen,!0)}})},d2=user_derived(()=>mcpHasResourceAttachments());if_block(node_5,$$render=>{get$3(d2)&&$$render(consequent)})}var node_6=sibling(node_5,2);{let $0=user_derived(()=>value().trim().length>0),$1=user_derived(()=>showMcpPromptButton()?()=>set$1(isPromptPickerOpen,!0):void 0);bind_this(ChatFormActions(node_6,{class:"px-3",get canSend(){ -return get$3(canSubmit)},get hasText(){return get$3($0)},get disabled(){return disabled()},get isLoading(){return isLoading2()},get isRecording(){return get$3(isRecording)},get uploadedFiles(){return uploadedFiles()},onFileUpload:handleFileUpload,onMicClick:handleMicClick,get onStop(){return $$props.onStop},onSystemPromptClick:()=>$$props.onSystemPromptClick?.({message:value(),files:uploadedFiles()}),get onMcpPromptClick(){return get$3($1)},onMcpResourcesClick:()=>set$1(isResourceDialogOpen,!0)}), -$$value=>set$1(chatFormActionsRef,$$value,!0),()=>get$3(chatFormActionsRef))}reset(div_1),reset(div),reset(form);var node_7=sibling(form,2);return DialogMcpResources(node_7,{get preSelectedUri(){return get$3(preSelectedResourceUri)},onAttach:resource=>{mcpStore.attachResource(resource.uri)},onOpenChange:newOpen=>{newOpen||set$1(preSelectedResourceUri,void 0)},get open(){return get$3(isResourceDialogOpen)},set open($$value){set$1(isResourceDialogOpen,$$value,!0)}}),template_effect(()=>{set_class( -form,1,`relative ${className()??""}`),set_class(div,1,`${INPUT_CLASSES??""} overflow-hidden rounded-3xl backdrop-blur-md ${disabled()?"cursor-not-allowed opacity-60":""}`)}),event("submit",form,e=>{e.preventDefault(),!(!get$3(canSubmit)||disabled()||get$3(hasLoadingAttachments))&&$$props.onSubmit?.()}),event("paste",div_1,handlePaste),append($$anchor,fragment),pop($$exports)}function Dropdown_menu_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props, -"sideOffset",3,4),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","sideOffset","portalProps","class"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,DropdownMenuPrimitive_Portal)=>{DropdownMenuPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 max-h-(--bits-dropdown-menu-content-available-\ -height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border 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ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","inset","variant"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("relative flex cursor-pointer items-center gap-2 rounded-sm px-2 py-1.5 text-sm outline-hidden select-none data-highlighted:bg-accent data-highlighted:text-accent-foreground data-[disabled]:pointer-events-none data-[disab\ -led]:opacity-50 data-[inset]:pl-8 data-[variant=destructive]:text-destructive data-[variant=destructive]:data-highlighted:bg-destructive/10 data-[variant=destructive]:data-highlighted:text-destructive dark:data-[variant=destructive]:data-highlighted:bg-destructive/20 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground data-[variant=destructive]:*:[svg]:!text-destructive",$$props.class));component(node2,()=>Menu_item, -($$anchor2,DropdownMenuPrimitive_Item)=>{DropdownMenuPrimitive_Item($$anchor2,spread_props({"data-slot":"dropdown-menu-item",get"data-inset"(){return $$props.inset},get"data-variant"(){return variant()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Dropdown_menu_separator($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events", -"$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("-mx-1 my-1 h-px bg-border/20",$$props.class));component(node2,()=>Menu_separator,($$anchor2,DropdownMenuPrimitive_Separator)=>{DropdownMenuPrimitive_Separator($$anchor2,spread_props({"data-slot":"dropdown-menu-separator",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Dropdown_menu_trigger($$anchor,$$props){ -push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Menu_trigger,($$anchor2,DropdownMenuPrimitive_Trigger)=>{DropdownMenuPrimitive_Trigger($$anchor2,spread_props({"data-slot":"dropdown-menu-trigger"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}function Dropdown_menu_sub_content($$anchor,$$props){ -push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-\ -in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20",$$props.class));component(node2,()=>Menu_sub_content,($$anchor2,DropdownMenuPrimitive_SubContent)=>{DropdownMenuPrimitive_SubContent($$anchor2,spread_props({"data-sl\ -ot":"dropdown-menu-sub-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_1$D=from_html(" ",1);function Dropdown_menu_sub_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","inset","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fl\ -ex cursor-default items-center gap-2 rounded-sm px-2 py-1.5 text-sm outline-hidden select-none data-highlighted:bg-accent data-highlighted:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[inset]:pl-8 data-[state=open]:bg-accent data-[state=open]:text-accent-foreground [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground",$$props.class));component(node2,()=>Menu_sub_trigger, -($$anchor2,DropdownMenuPrimitive_SubTrigger)=>{DropdownMenuPrimitive_SubTrigger($$anchor2,spread_props({"data-slot":"dropdown-menu-sub-trigger",get"data-inset"(){return $$props.inset},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$D(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);Chevron_right(node_2,{class:"ml-auto size-4"}), -append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}const Sub=Menu_sub,Root$2=Menu;function useAttachmentMenu(getFlags,getCallbacks,close2){const modalityFlags=user_derived(getFlags),callbacks=user_derived(()=>{const cbs=getCallbacks(),wrap2=fn=>()=>{close2(),fn?.()};return{[AttachmentAction.FILE_UPLOAD]:wrap2(cbs.onFileUpload),[AttachmentAction.SYSTEM_PROMPT_CLICK]:wrap2(cbs.onSystemPromptClick),[AttachmentAction.MCP_PROMPT_CLICK]:wrap2(cbs.onMcpPromptClick), -[AttachmentAction.MCP_RESOURCES_CLICK]:wrap2(cbs.onMcpResourcesClick)}});function isItemEnabled(enabledWhen){return!enabledWhen||enabledWhen==="always"?!0:!!get$3(modalityFlags)[enabledWhen]}function isItemVisible(visibleWhen){return visibleWhen?!!get$3(modalityFlags)[visibleWhen]:!0}function getSystemMessageTooltip(){return page$1.params.id?"Inject custom system message at the beginning of the conversation":"Add custom system message for a new conversation"}return{get callbacks(){return get$3(callbacks)}, -isItemEnabled,isItemVisible,getSystemMessageTooltip}}var root_5$o=from_html(' ',1),root_6$j=from_html("

          "),root_3$u=from_html(" ",1),root_10$c=from_html(" ",1),root_14$5=from_html(" ",1),root_15$7=from_html("

          "),root_12$7=from_html(" ",1),root_20$4=from_html(" ",1),root_21$5=from_html("

          PDFs will be converted to text. Image-based PDFs may not work properly.

          "),root_17$8=from_html("<\ -!> ",1),root_26=from_html(" ",1),root_27$1=from_html("

          "),root_24$1=from_html(" ",1),root_30$1=from_html(" ",1),root_7$j=from_html(" ",1),root_1$C=from_html(" ",1),root$14=from_html("
          ");function ChatFormActionAttachmentsDropdown($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasVisionModality=prop( -$$props,"hasVisionModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),dropdownOpen=state$1(!1);function handleMcpSettingsClick(){set$1(dropdownOpen,!1),$$props.onMcpSettingsClick?.()}const attachmentMenu=useAttachmentMenu(()=>({hasVisionModality:hasVisionModality(),hasAudioModality:hasAudioModality(),hasMcpPromptsSupport:hasMcpPromptsSupport(),hasMcpResourcesSupport:hasMcpResourcesSupport()}),()=>({onFileUpload:$$props. -onFileUpload,onSystemPromptClick:$$props.onSystemPromptClick,onMcpPromptClick:$$props.onMcpPromptClick,onMcpResourcesClick:$$props.onMcpResourcesClick}),()=>{set$1(dropdownOpen,!1)});var div=root$14(),node2=child(div);component(node2,()=>Root$2,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{get open(){return get$3(dropdownOpen)},set open($$value){set$1(dropdownOpen,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment=root_1$C(),node_1=first_child(fragment);component(node_1, -()=>Dropdown_menu_trigger,($$anchor4,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor4,{name:"Attach files",get disabled(){return disabled()},children:($$anchor5,$$slotProps2)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);component(node_2,()=>Root$5,($$anchor6,Tooltip_Root)=>{Tooltip_Root($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_2=root_3$u(),node_3=first_child(fragment_2);component(node_3,()=>Tooltip_trigger,($$anchor8,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor8, -{class:"w-full",children:($$anchor9,$$slotProps4)=>{Button($$anchor9,{class:"file-upload-button h-8 w-8 rounded-full p-0",get disabled(){return disabled()},variant:"secondary",type:"button",children:($$anchor10,$$slotProps5)=>{var fragment_4=root_5$o(),span=first_child(fragment_4),text2=child(span,!0);reset(span);var node_4=sibling(span,2);Plus(node_4,{class:"h-4 w-4"}),template_effect(()=>set_text(text2,ATTACHMENT_TOOLTIP_TEXT)),append($$anchor10,fragment_4)},$$slots:{default:!0}})},$$slots:{default:!0}})}); -var node_5=sibling(node_3,2);component(node_5,()=>Tooltip_content,($$anchor8,Tooltip_Content)=>{Tooltip_Content($$anchor8,{children:($$anchor9,$$slotProps4)=>{var p2=root_6$j(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,ATTACHMENT_TOOLTIP_TEXT)),append($$anchor9,p2)},$$slots:{default:!0}})}),append($$anchor7,fragment_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_1)},$$slots:{default:!0}})});var node_6=sibling(node_1,2);component(node_6,()=>Dropdown_menu_content,($$anchor4,DropdownMenu_Content)=>{ -DropdownMenu_Content($$anchor4,{align:"start",class:"w-48",children:($$anchor5,$$slotProps2)=>{var fragment_5=root_7$j(),node_7=first_child(fragment_5);each(node_7,17,()=>ATTACHMENT_FILE_ITEMS,item=>item.id,($$anchor6,item)=>{const enabled=user_derived(()=>attachmentMenu.isItemEnabled(get$3(item).enabledWhen));var fragment_6=comment$2(),node_8=first_child(fragment_6);{var consequent=$$anchor7=>{var fragment_7=comment$2(),node_9=first_child(fragment_7);{let $0=user_derived(()=>get$3(item).class?? -"");component(node_9,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor8,{get class(){return`${get$3($0)??""} flex cursor-pointer items-center gap-2`},onclick:()=>attachmentMenu.callbacks[get$3(item).action](),children:($$anchor9,$$slotProps3)=>{var fragment_8=root_10$c(),node_10=first_child(fragment_8);component(node_10,()=>get$3(item).icon,($$anchor10,item_icon)=>{item_icon($$anchor10,{class:"h-4 w-4"})});var span_1=sibling(node_10,2),text_2=child(span_1,!0);reset( -span_1),template_effect(()=>set_text(text_2,get$3(item).label)),append($$anchor9,fragment_8)},$$slots:{default:!0}})})}append($$anchor7,fragment_7)},consequent_1=$$anchor7=>{var fragment_9=comment$2(),node_11=first_child(fragment_9);component(node_11,()=>Root$5,($$anchor8,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_10=root_12$7(),node_12=first_child(fragment_10);component(node_12,()=>Tooltip_trigger, -($$anchor10,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor10,{class:"w-full",children:($$anchor11,$$slotProps4)=>{var fragment_11=comment$2(),node_13=first_child(fragment_11);{let $0=user_derived(()=>get$3(item).class??"");component(node_13,()=>Dropdown_menu_item,($$anchor12,DropdownMenu_Item_1)=>{DropdownMenu_Item_1($$anchor12,{get class(){return`${get$3($0)??""} flex cursor-pointer items-center gap-2`},disabled:!0,children:($$anchor13,$$slotProps5)=>{var fragment_12=root_14$5(),node_14=first_child( -fragment_12);component(node_14,()=>get$3(item).icon,($$anchor14,item_icon_1)=>{item_icon_1($$anchor14,{class:"h-4 w-4"})});var span_2=sibling(node_14,2),text_3=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_3,get$3(item).label)),append($$anchor13,fragment_12)},$$slots:{default:!0}})})}append($$anchor11,fragment_11)},$$slots:{default:!0}})});var node_15=sibling(node_12,2);component(node_15,()=>Tooltip_content,($$anchor10,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor10,{side:"r\ -ight",children:($$anchor11,$$slotProps4)=>{var p_1=root_15$7(),text_4=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_4,get$3(item).disabledTooltip)),append($$anchor11,p_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_10)},$$slots:{default:!0}})}),append($$anchor7,fragment_9)};if_block(node_8,$$render=>{get$3(enabled)?$$render(consequent):get$3(item).disabledTooltip&&$$render(consequent_1,1)})}append($$anchor6,fragment_6)});var node_16=sibling(node_7,2);{var consequent_3=$$anchor6=>{ -var fragment_13=comment$2(),node_17=first_child(fragment_13);component(node_17,()=>Root$5,($$anchor7,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor7,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor8,$$slotProps3)=>{var fragment_14=root_17$8(),node_18=first_child(fragment_14);component(node_18,()=>Tooltip_trigger,($$anchor9,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor9,{class:"w-full",children:($$anchor10,$$slotProps4)=>{var fragment_15=comment$2(),node_19=first_child(fragment_15); -component(node_19,()=>Dropdown_menu_item,($$anchor11,DropdownMenu_Item_2)=>{DropdownMenu_Item_2($$anchor11,{class:"flex cursor-pointer items-center gap-2",get onclick(){return attachmentMenu.callbacks.onFileUpload},children:($$anchor12,$$slotProps5)=>{const pdfItem=user_derived(()=>ATTACHMENT_FILE_ITEMS.find(i=>i.id===AttachmentMenuItemId.PDF));var fragment_16=comment$2(),node_20=first_child(fragment_16);{var consequent_2=$$anchor13=>{var fragment_17=root_20$4(),node_21=first_child(fragment_17); -component(node_21,()=>get$3(pdfItem).icon,($$anchor14,pdfItem_icon)=>{pdfItem_icon($$anchor14,{class:"h-4 w-4"})});var span_3=sibling(node_21,2),text_5=child(span_3,!0);reset(span_3),template_effect(()=>set_text(text_5,get$3(pdfItem).label)),append($$anchor13,fragment_17)};if_block(node_20,$$render=>{get$3(pdfItem)&&$$render(consequent_2)})}append($$anchor12,fragment_16)},$$slots:{default:!0}})}),append($$anchor10,fragment_15)},$$slots:{default:!0}})});var node_22=sibling(node_18,2);component(node_22, -()=>Tooltip_content,($$anchor9,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor9,{side:"right",children:($$anchor10,$$slotProps4)=>{var p_2=root_21$5();append($$anchor10,p_2)},$$slots:{default:!0}})}),append($$anchor8,fragment_14)},$$slots:{default:!0}})}),append($$anchor6,fragment_13)},d2=user_derived(()=>!attachmentMenu.isItemEnabled("hasVisionModality"));if_block(node_16,$$render=>{get$3(d2)&&$$render(consequent_3)})}var node_23=sibling(node_16,2);component(node_23,()=>Dropdown_menu_separator, -($$anchor6,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor6,{})});var node_24=sibling(node_23,2);each(node_24,17,()=>ATTACHMENT_EXTRA_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_18=comment$2(),node_25=first_child(fragment_18);{var consequent_4=$$anchor7=>{var fragment_19=comment$2(),node_26=first_child(fragment_19);component(node_26,()=>Root$5,($$anchor8,Tooltip_Root_3)=>{Tooltip_Root_3($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{ -var fragment_20=root_24$1(),node_27=first_child(fragment_20);component(node_27,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_3)=>{Tooltip_Trigger_3($$anchor10,{class:"w-full",children:($$anchor11,$$slotProps4)=>{var fragment_21=comment$2(),node_28=first_child(fragment_21);component(node_28,()=>Dropdown_menu_item,($$anchor12,DropdownMenu_Item_3)=>{DropdownMenu_Item_3($$anchor12,{class:"flex cursor-pointer items-center gap-2",onclick:()=>attachmentMenu.callbacks[get$3(item).action](),children:($$anchor13,$$slotProps5)=>{ -var fragment_22=root_26(),node_29=first_child(fragment_22);component(node_29,()=>get$3(item).icon,($$anchor14,item_icon_2)=>{item_icon_2($$anchor14,{class:"h-4 w-4"})});var span_4=sibling(node_29,2),text_6=child(span_4,!0);reset(span_4),template_effect(()=>set_text(text_6,get$3(item).label)),append($$anchor13,fragment_22)},$$slots:{default:!0}})}),append($$anchor11,fragment_21)},$$slots:{default:!0}})});var node_30=sibling(node_27,2);component(node_30,()=>Tooltip_content,($$anchor10,Tooltip_Content_3)=>{ -Tooltip_Content_3($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p_3=root_27$1(),text_7=child(p_3,!0);reset(p_3),template_effect($0=>set_text(text_7,$0),[()=>attachmentMenu.getSystemMessageTooltip()]),append($$anchor11,p_3)},$$slots:{default:!0}})}),append($$anchor9,fragment_20)},$$slots:{default:!0}})}),append($$anchor7,fragment_19)};if_block(node_25,$$render=>{get$3(item).id===AttachmentMenuItemId.SYSTEM_MESSAGE&&$$render(consequent_4)})}append($$anchor6,fragment_18)});var node_31=sibling( -node_24,2);ChatFormActionToolsSubmenu(node_31,{});var node_32=sibling(node_31,2);ChatFormActionMcpServersSubmenu(node_32,{onMcpSettingsClick:handleMcpSettingsClick});var node_33=sibling(node_32,2);each(node_33,17,()=>ATTACHMENT_MCP_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_23=comment$2(),node_34=first_child(fragment_23);{var consequent_5=$$anchor7=>{var fragment_24=comment$2(),node_35=first_child(fragment_24);component(node_35,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_4)=>{DropdownMenu_Item_4( -$$anchor8,{class:"flex cursor-pointer items-center gap-2",onclick:()=>attachmentMenu.callbacks[get$3(item).action](),children:($$anchor9,$$slotProps3)=>{var fragment_25=root_30$1(),node_36=first_child(fragment_25);component(node_36,()=>get$3(item).icon,($$anchor10,item_icon_3)=>{item_icon_3($$anchor10,{class:"h-4 w-4"})});var span_5=sibling(node_36,2),text_8=child(span_5,!0);reset(span_5),template_effect(()=>set_text(text_8,get$3(item).label)),append($$anchor9,fragment_25)},$$slots:{default:!0}})}), -append($$anchor7,fragment_24)},d_12=user_derived(()=>attachmentMenu.isItemVisible(get$3(item).visibleWhen));if_block(node_34,$$render=>{get$3(d_12)&&$$render(consequent_5)})}append($$anchor6,fragment_23)}),append($$anchor5,fragment_5)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div),pop()}function Sheet_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop( -$$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,SheetPrimitive_Overlay)=>{SheetPrimitive_Overlay($$anchor2,spread_props({"data-slot":"sheet-overlay", -get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const sheetVariants=tv({base:`border-border/30 dark:border-border/20 data-[state=open]:animate-in data-[state=closed]:animate-out fixed z-50 flex flex-col gap-4 shadow-sm transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500 ${PANEL_CLASSES}`,variants:{side:{top:"data-[state=closed]:slide-out-to-top data-[state=open]:slide-in\ --from-top inset-x-0 top-0 h-auto border-b",bottom:"data-[state=closed]:slide-out-to-bottom data-[state=open]:slide-in-from-bottom inset-x-0 bottom-0 h-auto border-t",left:"data-[state=closed]:slide-out-to-left data-[state=open]:slide-in-from-left inset-y-0 left-0 h-full w-3/4 border-r sm:max-w-sm",right:"data-[state=closed]:slide-out-to-right data-[state=open]:slide-in-from-right inset-y-0 right-0 h-full w-3/4 border-l sm:max-w-sm"}},defaultVariants:{side:"right"}});var root_3$t=from_html(' <\ -span class="sr-only">Close',1),root_2$J=from_html(" ",1),root_1$B=from_html(" ",1);function Sheet_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),side=prop($$props,"side",3,"right"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","side","portalProps","children"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,SheetPrimitive_Portal)=>{SheetPrimitive_Portal($$anchor2,spread_props( -()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$B(),node_1=first_child(fragment_1);Sheet_overlay(node_1,{});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1(sheetVariants({side:side()}),$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,SheetPrimitive_Content)=>{SheetPrimitive_Content($$anchor4,spread_props({"data-slot":"sheet-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{ -var fragment_2=root_2$J(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3);var node_4=sibling(node_3,2);component(node_4,()=>Dialog_close,($$anchor6,SheetPrimitive_Close)=>{SheetPrimitive_Close($$anchor6,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:outline-hidden disabled:pointer-events-none",children:($$anchor7,$$slotProps3)=>{ -var fragment_3=root_3$t(),node_5=first_child(fragment_3);X(node_5,{class:"size-4"}),next$1(2),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}var root$13=from_html("
          ");function Sheet_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","cl\ -ass","children"]);var div=root$13();attribute_effect(div,$0=>({"data-slot":"sheet-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-1.5 p-4",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Sheet_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(), -node2=first_child(fragment);{let $0=user_derived(()=>cn$1("font-semibold text-foreground",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,SheetPrimitive_Title)=>{SheetPrimitive_Title($$anchor2,spread_props({"data-slot":"sheet-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Sheet_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props( -$$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,SheetPrimitive_Description)=>{SheetPrimitive_Description($$anchor2,spread_props({"data-slot":"sheet-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$1=Dialog; -var root_2$I=from_html(' ',1),root_4$k=from_html(" ",1),root_8$h=from_html(''),root_11$a=from_html(''),root_12$6=from_html("

          "),root_10$b=from_html(" ",1),root_16$4=from_html(''),root_17$7=from_html("

          PDFs will be converted to text. Image-based PDFs may not work properly.

          "),root_15$6=from_html( -" ",1),root_21$4=from_html(''),root_22=from_html("

          "),root_20$3=from_html(" ",1),root_24=from_html(''),root_3$s=from_html('
          ',1),root_1$A=from_html(" ",1),root$12=from_html("
          ");function ChatFormActionAttachmentsSheet($$anchor,$$props){push$1($$props,!0); -let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),sheetOpen=state$1(!1);const attachmentMenu=useAttachmentMenu(()=>({hasVisionModality:hasVisionModality(),hasAudioModality:hasAudioModality(),hasMcpPromptsSupport:hasMcpPromptsSupport(), -hasMcpResourcesSupport:hasMcpResourcesSupport()}),()=>({onFileUpload:$$props.onFileUpload,onSystemPromptClick:$$props.onSystemPromptClick,onMcpPromptClick:$$props.onMcpPromptClick,onMcpResourcesClick:$$props.onMcpResourcesClick}),()=>{set$1(sheetOpen,!1)});function handleMcpSettingsClick(){set$1(sheetOpen,!1),$$props.onMcpSettingsClick?.()}const sheetItemClass="flex w-full items-center gap-3 rounded-md px-3 py-2.5 text-left text-sm transition-colors hover:bg-accent active:bg-accent disabled:curs\ -or-not-allowed disabled:opacity-50";var div=root$12(),node2=child(div);component(node2,()=>Root$1,($$anchor2,Sheet_Root)=>{Sheet_Root($$anchor2,{get open(){return get$3(sheetOpen)},set open($$value){set$1(sheetOpen,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment=root_1$A(),node_1=first_child(fragment);Button(node_1,{class:"file-upload-button h-8 w-8 rounded-full p-0",get disabled(){return disabled()},variant:"secondary",type:"button",onclick:()=>set$1(sheetOpen,!0),children:($$anchor4,$$slotProps2)=>{ -var fragment_1=root_2$I(),span=first_child(fragment_1),text2=child(span,!0);reset(span);var node_2=sibling(span,2);Plus(node_2,{class:"h-4 w-4"}),template_effect(()=>set_text(text2,ATTACHMENT_TOOLTIP_TEXT)),append($$anchor4,fragment_1)},$$slots:{default:!0}});var node_3=sibling(node_1,2);component(node_3,()=>Sheet_content,($$anchor4,Sheet_Content)=>{Sheet_Content($$anchor4,{side:"bottom",class:"max-h-[85vh] gap-0 overflow-y-auto",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_3$s(),node_4=first_child( -fragment_2);component(node_4,()=>Sheet_header,($$anchor6,Sheet_Header)=>{Sheet_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_4$k(),node_5=first_child(fragment_3);component(node_5,()=>Sheet_title,($$anchor8,Sheet_Title)=>{Sheet_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Add to chat");append($$anchor9,text_1)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Sheet_description,($$anchor8,Sheet_Description)=>{ -Sheet_Description($$anchor8,{class:"sr-only",children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8("Add files, system prompt or configure MCP servers");append($$anchor9,text_2)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div_1=sibling(node_4,2),node_7=child(div_1);each(node_7,17,()=>ATTACHMENT_FILE_ITEMS,item=>item.id,($$anchor6,item)=>{const enabled=user_derived(()=>attachmentMenu.isItemEnabled(get$3(item).enabledWhen));var fragment_4=comment$2(), -node_8=first_child(fragment_4);{var consequent=$$anchor7=>{var button=root_8$h();set_class(button,1,clsx(sheetItemClass));var node_9=child(button);component(node_9,()=>get$3(item).icon,($$anchor8,item_icon)=>{item_icon($$anchor8,{class:"h-4 w-4 shrink-0"})});var span_1=sibling(node_9,2),text_3=child(span_1,!0);reset(span_1),reset(button),template_effect(()=>set_text(text_3,get$3(item).label)),delegated("click",button,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor7,button)},consequent_1=$$anchor7=>{ -var fragment_5=comment$2(),node_10=first_child(fragment_5);component(node_10,()=>Root$5,($$anchor8,Tooltip_Root)=>{Tooltip_Root($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_6=root_10$b(),node_11=first_child(fragment_6);component(node_11,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_1=root_11$a();set_class(button_1,1,clsx(sheetItemClass));var node_12=child( -button_1);component(node_12,()=>get$3(item).icon,($$anchor12,item_icon_1)=>{item_icon_1($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_2=sibling(node_12,2),text_4=child(span_2,!0);reset(span_2),reset(button_1),template_effect(()=>set_text(text_4,get$3(item).label)),append($$anchor11,button_1)},$$slots:{default:!0}})});var node_13=sibling(node_11,2);component(node_13,()=>Tooltip_content,($$anchor10,Tooltip_Content)=>{Tooltip_Content($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{ -var p2=root_12$6(),text_5=child(p2,!0);reset(p2),template_effect(()=>set_text(text_5,get$3(item).disabledTooltip)),append($$anchor11,p2)},$$slots:{default:!0}})}),append($$anchor9,fragment_6)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)};if_block(node_8,$$render=>{get$3(enabled)?$$render(consequent):get$3(item).disabledTooltip&&$$render(consequent_1,1)})}append($$anchor6,fragment_4)});var node_14=sibling(node_7,2);{var consequent_3=$$anchor6=>{const pdfItem=user_derived(()=>ATTACHMENT_FILE_ITEMS. -find(i=>i.id===AttachmentMenuItemId.PDF));var fragment_7=comment$2(),node_15=first_child(fragment_7);{var consequent_2=$$anchor7=>{var fragment_8=comment$2(),node_16=first_child(fragment_8);component(node_16,()=>Root$5,($$anchor8,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_9=root_15$6(),node_17=first_child(fragment_9);component(node_17,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_1)=>{Tooltip_Trigger_1( -$$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_2=root_16$4();set_class(button_2,1,clsx(sheetItemClass));var node_18=child(button_2);component(node_18,()=>get$3(pdfItem).icon,($$anchor12,pdfItem_icon)=>{pdfItem_icon($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_3=sibling(node_18,2),text_6=child(span_3,!0);reset(span_3),reset(button_2),template_effect(()=>set_text(text_6,get$3(pdfItem).label)),delegated("click",button_2,()=>attachmentMenu.callbacks[get$3(pdfItem).action]()),append( -$$anchor11,button_2)},$$slots:{default:!0}})});var node_19=sibling(node_17,2);component(node_19,()=>Tooltip_content,($$anchor10,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p_1=root_17$7();append($$anchor11,p_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_9)},$$slots:{default:!0}})}),append($$anchor7,fragment_8)};if_block(node_15,$$render=>{get$3(pdfItem)&&$$render(consequent_2)})}append($$anchor6,fragment_7)},d2=user_derived(()=>!attachmentMenu. -isItemEnabled("hasVisionModality"));if_block(node_14,$$render=>{get$3(d2)&&$$render(consequent_3)})}var node_20=sibling(node_14,2);each(node_20,17,()=>ATTACHMENT_EXTRA_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_10=comment$2(),node_21=first_child(fragment_10);{var consequent_4=$$anchor7=>{var fragment_11=comment$2(),node_22=first_child(fragment_11);component(node_22,()=>Root$5,($$anchor8,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{ -var fragment_12=root_20$3(),node_23=first_child(fragment_12);component(node_23,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_3=root_21$4();set_class(button_3,1,clsx(sheetItemClass));var node_24=child(button_3);component(node_24,()=>get$3(item).icon,($$anchor12,item_icon_2)=>{item_icon_2($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_4=sibling(node_24,2),text_7=child(span_4,!0);reset(span_4),reset(button_3),template_effect( -()=>set_text(text_7,get$3(item).label)),delegated("click",button_3,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor11,button_3)},$$slots:{default:!0}})});var node_25=sibling(node_23,2);component(node_25,()=>Tooltip_content,($$anchor10,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p_2=root_22(),text_8=child(p_2,!0);reset(p_2),template_effect($0=>set_text(text_8,$0),[()=>attachmentMenu.getSystemMessageTooltip()]),append( -$$anchor11,p_2)},$$slots:{default:!0}})}),append($$anchor9,fragment_12)},$$slots:{default:!0}})}),append($$anchor7,fragment_11)};if_block(node_21,$$render=>{get$3(item).id===AttachmentMenuItemId.SYSTEM_MESSAGE&&$$render(consequent_4)})}append($$anchor6,fragment_10)});var node_26=sibling(node_20,4);ChatFormActionToolsSubmenu(node_26,{});var node_27=sibling(node_26,2);ChatFormActionMcpServersSubmenu(node_27,{onMcpSettingsClick:handleMcpSettingsClick});var node_28=sibling(node_27,2);each(node_28,17, -()=>ATTACHMENT_MCP_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_13=comment$2(),node_29=first_child(fragment_13);{var consequent_5=$$anchor7=>{var button_4=root_24();set_class(button_4,1,clsx(sheetItemClass));var node_30=child(button_4);component(node_30,()=>get$3(item).icon,($$anchor8,item_icon_3)=>{item_icon_3($$anchor8,{class:"h-4 w-4 shrink-0"})});var span_5=sibling(node_30,2),text_9=child(span_5,!0);reset(span_5),reset(button_4),template_effect(()=>set_text(text_9,get$3(item).label)), -delegated("click",button_4,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor7,button_4)},d_12=user_derived(()=>attachmentMenu.isItemVisible(get$3(item).visibleWhen));if_block(node_29,$$render=>{get$3(d_12)&&$$render(consequent_5)})}append($$anchor6,fragment_13)}),reset(div_1),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append( -$$anchor,div),pop()}delegate(["click"]);var root_3$r=from_html(' ',1),root_7$i=from_html("

          Current model does not support audio

          "),root_1$z=from_html(" ",1),root$11=from_html("
          ");function ChatFormActionRecord($$anchor,$$props){let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),isLoading2=prop($$props,"isLoading",3,!1),isRecording=prop($$props,"isRecording", -3,!1);var div=root$11(),node2=child(div);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment=root_1$z(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{{let $0=user_derived(()=>isRecording()?"animate-pulse bg-red-500 text-white hover:bg-red-600":""),$1=user_derived(()=>disabled()||isLoading2()||!hasAudioModality()); -Button($$anchor5,{get class(){return`h-8 w-8 rounded-full p-0 ${get$3($0)??""}`},get disabled(){return get$3($1)},get onclick(){return $$props.onMicClick},type:"button",children:($$anchor6,$$slotProps3)=>{var fragment_2=root_3$r(),span=first_child(fragment_2),text2=child(span,!0);reset(span);var node_2=sibling(span,2);{var consequent=$$anchor7=>{Square($$anchor7,{class:"h-4 w-4 animate-pulse fill-white"})},alternate=$$anchor7=>{Mic($$anchor7,{class:"h-4 w-4"})};if_block(node_2,$$render=>{isRecording()? -$$render(consequent):$$render(alternate,-1)})}template_effect(()=>set_text(text2,isRecording()?"Stop recording":"Start recording")),append($$anchor6,fragment_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent_1=$$anchor4=>{var fragment_5=comment$2(),node_4=first_child(fragment_5);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_7$i();append($$anchor6,p2)},$$slots:{ -default:!0}})}),append($$anchor4,fragment_5)};if_block(node_3,$$render=>{hasAudioModality()||$$render(consequent_1)})}append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div)}var root_6$i=from_html('Stop ',1),root$10=from_html('
          ');function ChatFormActions($$anchor,$$props){push$1($$props,!0);let canSend=prop($$props,"canSend",3,!1),className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,"isLoading",3,!1),isRecording=prop($$props,"isRecording",3,!1),hasText=prop($$props,"hasText",3,!1),uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),currentConfig=user_derived(config$1),isRouter=user_derived(isRouterMode),isOffline=user_derived(()=>!!serverError()), -conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),lastSyncedConversationModel=null;user_effect(()=>{if(get$3(conversationModel)&&get$3(conversationModel)!==lastSyncedConversationModel)lastSyncedConversationModel=get$3(conversationModel),modelsStore.selectModelByName(get$3(conversationModel));else if(get$3(isRouter)&&!modelsStore.selectedModelId&&modelsStore.loadedModelIds.length>0){lastSyncedConversationModel=null;const first=modelOptions().find(m=>modelsStore. -loadedModelIds.includes(m.model));first&&modelsStore.selectModelById(first.id)}});let activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}),modelPropsVersion=state$1(0); -user_effect(()=>{get$3(activeModelId)&&(modelsStore.getModelProps(get$3(activeModelId))||modelsStore.fetchModelProps(get$3(activeModelId)).then(()=>{update$1(modelPropsVersion)}))});let hasAudioModality=user_derived(()=>get$3(activeModelId)?(get$3(modelPropsVersion),modelsStore.modelSupportsAudio(get$3(activeModelId))):!1),hasVisionModality=user_derived(()=>get$3(activeModelId)?(get$3(modelPropsVersion),modelsStore.modelSupportsVision(get$3(activeModelId))):!1),hasAudioAttachments=user_derived(()=>uploadedFiles(). -some(file=>getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)),shouldShowRecordButton=user_derived(()=>get$3(hasAudioModality)&&!hasText()&&!get$3(hasAudioAttachments)&&get$3(currentConfig).autoMicOnEmpty),hasModelSelected=user_derived(()=>!get$3(isRouter)||!!get$3(conversationModel)||!!selectedModelId()),isSelectedModelInCache=user_derived(()=>{if(!get$3(isRouter))return!0;if(get$3(conversationModel))return modelOptions().some(option2=>option2.model===get$3(conversationModel));const currentModelId=selectedModelId(); -return currentModelId?modelOptions().some(option2=>option2.id===currentModelId):!1}),submitTooltip=user_derived(()=>get$3(hasModelSelected)?get$3(isSelectedModelInCache)?"":"Selected model is not available, please select another":"Please select a model first"),selectorModelRef=state$1(void 0),isMobile=new IsMobile;function openModelSelector(){get$3(selectorModelRef)?.open()}let hasMcpPromptsSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore. -hasPromptsCapability(perChatOverrides)}),hasMcpResourcesSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore.hasResourcesCapability(perChatOverrides)});var $$exports={openModelSelector},div=root$10(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{ChatFormActionAttachmentsSheet($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return get$3(hasAudioModality)},get hasVisionModality(){return get$3(hasVisionModality)}, -get hasMcpPromptsSupport(){return get$3(hasMcpPromptsSupport)},get hasMcpResourcesSupport(){return get$3(hasMcpResourcesSupport)},get onFileUpload(){return $$props.onFileUpload},get onSystemPromptClick(){return $$props.onSystemPromptClick},get onMcpPromptClick(){return $$props.onMcpPromptClick},onMcpSettingsClick:()=>goto("#/settings/mcp"),get onMcpResourcesClick(){return $$props.onMcpResourcesClick}})},alternate=$$anchor2=>{ChatFormActionAttachmentsDropdown($$anchor2,{get disabled(){return disabled()}, -get hasAudioModality(){return get$3(hasAudioModality)},get hasVisionModality(){return get$3(hasVisionModality)},get hasMcpPromptsSupport(){return get$3(hasMcpPromptsSupport)},get hasMcpResourcesSupport(){return get$3(hasMcpResourcesSupport)},get onFileUpload(){return $$props.onFileUpload},get onSystemPromptClick(){return $$props.onSystemPromptClick},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){return $$props.onMcpResourcesClick},onMcpSettingsClick:()=>goto("#\ -/settings/mcp")})};if_block(node2,$$render=>{isMobile.current?$$render(consequent):$$render(alternate,-1)})}reset(div_1);var div_2=sibling(div_1,2),node_1=child(div_2);{var consequent_1=$$anchor2=>{{let $0=user_derived(()=>disabled()||get$3(isOffline));bind_this(ModelsSelectorSheet($$anchor2,{get disabled(){return get$3($0)},get currentModel(){return get$3(conversationModel)},forceForegroundText:!0,useGlobalSelection:!0}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$3(selectorModelRef))}}, -alternate_1=$$anchor2=>{{let $0=user_derived(()=>disabled()||get$3(isOffline));bind_this(ModelsSelectorDropdown($$anchor2,{get disabled(){return get$3($0)},get currentModel(){return get$3(conversationModel)},forceForegroundText:!0,useGlobalSelection:!0}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$3(selectorModelRef))}};if_block(node_1,$$render=>{isMobile.current?$$render(consequent_1):$$render(alternate_1,-1)})}reset(div_2);var node_2=sibling(div_2,2);{var consequent_2=$$anchor2=>{Button( -$$anchor2,{type:"button",variant:"secondary",get onclick(){return $$props.onStop},class:"group h-8 w-8 rounded-full p-0 hover:bg-destructive/10!",children:($$anchor3,$$slotProps)=>{var fragment_5=root_6$i(),node_3=sibling(first_child(fragment_5),2);Square(node_3,{class:"h-8 w-8 fill-muted-foreground stroke-muted-foreground group-hover:fill-destructive group-hover:stroke-destructive hover:fill-destructive hover:stroke-destructive"}),append($$anchor3,fragment_5)},$$slots:{default:!0}})},consequent_3=$$anchor2=>{ -ChatFormActionRecord($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return get$3(hasAudioModality)},get isLoading(){return isLoading2()},get isRecording(){return isRecording()},get onMicClick(){return $$props.onMicClick}})},alternate_2=$$anchor2=>{{let $0=user_derived(()=>canSend()&&get$3(hasModelSelected)&&get$3(isSelectedModelInCache)),$1=user_derived(()=>get$3(hasModelSelected)&&!get$3(isSelectedModelInCache));ChatFormActionSubmit($$anchor2,{get canSend(){return get$3($0)}, -get disabled(){return disabled()},get tooltipLabel(){return get$3(submitTooltip)},get showErrorState(){return get$3($1)}})}};if_block(node_2,$$render=>{isLoading2()&&!hasText()?$$render(consequent_2):get$3(shouldShowRecordButton)?$$render(consequent_3,1):$$render(alternate_2,-1)})}return reset(div),template_effect(()=>set_class(div,1,`flex w-full items-center gap-3 ${className()??""}`)),append($$anchor,div),pop($$exports)}var root_2$H=from_html('Send ',1),root_6$h=from_html( -"

          "),root_4$j=from_html(" ",1);function ChatFormActionSubmit($$anchor,$$props){push$1($$props,!0);const submitButton=($$anchor2,$$arg0)=>{let props=derived_safe_equal(()=>fallback($$arg0?.(),()=>({}),!0));{let $0=user_derived(()=>cn$1("h-8 w-8 rounded-full p-0",showErrorState()?"bg-red-400/10 text-red-400 hover:bg-red-400/20 hover:text-red-400 disabled:opacity-100":""));Button($$anchor2,spread_props({type:"submit",get disabled(){return get$3(isDisabled)},get class(){return get$3($0)}}, -()=>get$3(props),{children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$H(),node2=sibling(first_child(fragment_1),2);Arrow_up(node2,{class:"h-12 w-12"}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))}};let canSend=prop($$props,"canSend",3,!1),disabled=prop($$props,"disabled",3,!1),showErrorState=prop($$props,"showErrorState",3,!1),isDisabled=user_derived(()=>!canSend()||disabled());var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor2=>{var fragment_3=comment$2(), -node_2=first_child(fragment_3);component(node_2,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_4$j(),node_3=first_child(fragment_4);component(node_3,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{submitButton($$anchor6)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5, -{children:($$anchor6,$$slotProps2)=>{var p2=root_6$h(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.tooltipLabel)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),append($$anchor2,fragment_3)},alternate=$$anchor2=>{submitButton($$anchor2)};if_block(node_1,$$render=>{$$props.tooltipLabel?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment_2),pop()}function useToolsPanel(){const expandedGroups=new SvelteSet, -groups=user_derived(()=>toolsStore.toolGroups),activeGroups=user_derived(()=>get$3(groups).filter(g=>g.source!==ToolSource.MCP||!g.serverId||conversationsStore.isMcpServerEnabledForChat(g.serverId))),totalToolCount=user_derived(()=>get$3(activeGroups).reduce((n,g)=>n+g.tools.length,0)),noToolsInfoMessage=user_derived(()=>toolsStore.loading||toolsStore.toolGroups.length>0?null:toolsStore.isToolsEndpointUnreachable?"To enable Built-In Tools you need to run llama-server with --tools all or --tools \ - flag. To see MCP Tools you need to add / enable MCP Server(s).":toolsStore.error?null:"To enable Built-In Tools you need to run llama-server with --tools all or --tools flag. To see MCP Tools you need to add / enable MCP Server(s).");function getGroupCheckedState(group){return{checked:toolsStore.isGroupFullyEnabled(group),indeterminate:toolsStore.isGroupPartiallyEnabled(group)}}function getEnabledToolCount(group){return group.tools.filter(tool=>toolsStore.isToolEnabled(tool.function. -name)).length}function getFavicon(group){if(group.source!==ToolSource.MCP)return null;for(const server of mcpStore.getServersSorted())if(mcpStore.getServerLabel(server)===group.label)return mcpStore.getServerFavicon(server.id);return null}function isGroupDisabled(group){return group.source===ToolSource.MCP&&!!group.serverId&&!conversationsStore.isMcpServerEnabledForChat(group.serverId)}function toggleGroupExpanded(label){expandedGroups.has(label)?expandedGroups.delete(label):expandedGroups.add(label)} -function handleOpen(){toolsStore.builtinTools.length===0&&!toolsStore.loading&&toolsStore.fetchBuiltinTools(),mcpStore.runHealthChecksForServers(mcpStore.getServersSorted().filter(s2=>s2.enabled))}return{expandedGroups,get groups(){return get$3(groups)},get activeGroups(){return get$3(activeGroups)},get totalToolCount(){return get$3(totalToolCount)},get noToolsInfoMessage(){return get$3(noToolsInfoMessage)},getGroupCheckedState,getEnabledToolCount,getFavicon,isGroupDisabled,toggleGroupExpanded,handleOpen}} -var root_2$G=from_html(" Tools",1),root_5$n=from_html('
          Loading tools...
          '),root_6$g=from_html('
          Run llama-server with --tools flag to enable Built-in Tools. MCP Tools.
          '),root_7$h=from_html('Failed to load tools'),root_8$g=from_html('
          '),root_9$e=from_html('
          No tools available
          '),root_16$3=from_html(''),root_13$7=from_html(' ',1),root_19$6=from_html("

          "),root_17$6=from_html(" ",1),root_21$3=from_html(''),root_20$2=from_html('
          '), -root_12$5=from_html('
          ',1),root_10$a=from_html('
          '),root_1$y=from_html(" ",1);function ChatFormActionToolsSubmenu($$anchor,$$props){push$1($$props,!0);const toolsPanel=useToolsPanel(),hasMcpServersAvailable=user_derived(()=>mcpStore.getServersSorted().length>0);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Sub,($$anchor2,DropdownMenu_Sub)=>{DropdownMenu_Sub($$anchor2, -{onOpenChange:open2=>open2&&toolsPanel.handleOpen(),children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$y(),node_1=first_child(fragment_1);component(node_1,()=>Dropdown_menu_sub_trigger,($$anchor4,DropdownMenu_SubTrigger)=>{DropdownMenu_SubTrigger($$anchor4,{class:"flex cursor-pointer items-center gap-2",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$G(),node_2=first_child(fragment_2);Pencil_ruler(node_2,{class:"h-4 w-4"}),next$1(2),append($$anchor5,fragment_2)},$$slots:{default:!0}})}); -var node_3=sibling(node_1,2);component(node_3,()=>Dropdown_menu_sub_content,($$anchor4,DropdownMenu_SubContent)=>{DropdownMenu_SubContent($$anchor4,{class:"w-72 p-0",children:($$anchor5,$$slotProps2)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);{var consequent_4=$$anchor6=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);{var consequent=$$anchor7=>{var div=root_5$n(),node_6=child(div);Loader_circle(node_6,{class:"mx-auto mb-1 h-4 w-4 animate-spin"}),next$1(),reset(div),append( -$$anchor7,div)},consequent_1=$$anchor7=>{var div_1=root_6$g(),span=child(div_1),node_7=child(span);Info$1(node_7,{class:"mt-0.5 h-4 w-4 shrink-0"}),next$1(2),reset(span);var span_1=sibling(span,2),node_8=child(span_1);Info$1(node_8,{class:"mt-0.5 h-4 w-4 shrink-0"});var span_2=sibling(node_8,2),text2=child(span_2);next$1(2),reset(span_2),reset(span_1),reset(div_1),template_effect(()=>set_text(text2,`${get$3(hasMcpServersAvailable)?"Enable":"Add"} MCP Server(s) to access `)),append($$anchor7,div_1)}, -consequent_2=$$anchor7=>{var div_2=root_7$h();append($$anchor7,div_2)},consequent_3=$$anchor7=>{var div_3=root_8$g(),node_9=child(div_3);Info$1(node_9,{class:"mt-0.5 h-4 w-4 shrink-0"});var span_3=sibling(node_9,2),text_1=child(span_3,!0);reset(span_3),reset(div_3),template_effect(()=>set_text(text_1,toolsPanel.noToolsInfoMessage)),append($$anchor7,div_3)},alternate=$$anchor7=>{var div_4=root_9$e();append($$anchor7,div_4)};if_block(node_5,$$render=>{toolsStore.loading?$$render(consequent):toolsStore. -isToolsEndpointUnreachable?$$render(consequent_1,1):toolsStore.error?$$render(consequent_2,2):toolsPanel.noToolsInfoMessage?$$render(consequent_3,3):$$render(alternate,-1)})}append($$anchor6,fragment_4)},alternate_2=$$anchor6=>{var div_5=root_10$a();each(div_5,21,()=>toolsPanel.activeGroups,group=>group.label,($$anchor7,group)=>{const isExpanded=user_derived(()=>toolsPanel.expandedGroups.has(get$3(group).label)),computed_const=user_derived(()=>{const{checked,indeterminate}=toolsPanel.getGroupCheckedState( -get$3(group));return{checked,indeterminate}}),favicon=user_derived(()=>toolsPanel.getFavicon(get$3(group)));var fragment_5=comment$2(),node_10=first_child(fragment_5);component(node_10,()=>Collapsible,($$anchor8,Collapsible_Root)=>{Collapsible_Root($$anchor8,{get open(){return get$3(isExpanded)},onOpenChange:()=>toolsPanel.toggleGroupExpanded(get$3(group).label),children:($$anchor9,$$slotProps3)=>{var fragment_6=root_12$5(),div_6=first_child(fragment_6),node_11=child(div_6);component(node_11,()=>Collapsible_trigger, -($$anchor10,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor10,{class:"flex min-w-0 flex-1 items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50",children:($$anchor11,$$slotProps4)=>{var fragment_7=root_13$7(),node_12=first_child(fragment_7);{var consequent_5=$$anchor12=>{Chevron_down($$anchor12,{class:"h-3.5 w-3.5 shrink-0"})},alternate_1=$$anchor12=>{Chevron_right($$anchor12,{class:"h-3.5 w-3.5 shrink-0"})};if_block(node_12,$$render=>{get$3(isExpanded)?$$render(consequent_5):$$render( -alternate_1,-1)})}var span_4=sibling(node_12,2),node_13=child(span_4);{var consequent_6=$$anchor12=>{var img=root_16$3();template_effect(()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor12,img)};if_block(node_13,$$render=>{get$3(favicon)&&$$render(consequent_6)})}var span_5=sibling(node_13,2),text_2=child(span_5,!0);reset(span_5),reset(span_4);var span_6=sibling(span_4,2),text_3=child(span_6);reset(span_6), -template_effect($0=>{set_text(text_2,get$3(group).label),set_text(text_3,`${$0??""}/${get$3(group).tools.length??""}`)},[()=>toolsPanel.getEnabledToolCount(get$3(group))]),append($$anchor11,fragment_7)},$$slots:{default:!0}})});var node_14=sibling(node_11,2);component(node_14,()=>Root$5,($$anchor10,Tooltip_Root)=>{Tooltip_Root($$anchor10,{children:($$anchor11,$$slotProps4)=>{var fragment_10=root_17$6(),node_15=first_child(fragment_10);component(node_15,()=>Tooltip_trigger,($$anchor12,Tooltip_Trigger)=>{ -Tooltip_Trigger($$anchor12,{children:($$anchor13,$$slotProps5)=>{Checkbox($$anchor13,{get checked(){return get$3(computed_const).checked},get indeterminate(){return get$3(computed_const).indeterminate},onCheckedChange:()=>toolsStore.toggleGroup(get$3(group)),class:"mr-2 h-4 w-4 shrink-0"})},$$slots:{default:!0}})});var node_16=sibling(node_15,2);component(node_16,()=>Tooltip_content,($$anchor12,Tooltip_Content)=>{Tooltip_Content($$anchor12,{side:"right",children:($$anchor13,$$slotProps5)=>{var p2=root_19$6(), -text_4=child(p2);reset(p2),template_effect(()=>set_text(text_4,`${get$3(computed_const).checked?"Disable":"Enable"} - ${get$3(group).tools.length??""} tool${get$3(group).tools.length!==1?"s":""}`)),append($$anchor13,p2)},$$slots:{default:!0}})}),append($$anchor11,fragment_10)},$$slots:{default:!0}})}),reset(div_6);var node_17=sibling(div_6,2);component(node_17,()=>Collapsible_content,($$anchor10,Collapsible_Content)=>{Collapsible_Content($$anchor10,{children:($$anchor11,$$slotProps4)=>{var div_7=root_20$2();each(div_7,21,()=>get$3(group).tools,tool=>tool.function.name,($$anchor12,tool)=>{var button=root_21$3(), +convId),chatInjectPendingMessage=(convId,content2,extras)=>chatStore.injectPendingMessage(convId,content2,extras);var root$1u=from_html('
          ',1);function ChatForm($$anchor,$$props){push$1($$props,!0);let attachments=prop($$props,"attachments",19,()=>[]),className=prop($$props,"cla\ +ss",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,"isLoading",3,!1),placeholder=prop($$props,"placeholder",3,"Type a message..."),showMcpPromptButton=prop($$props,"showMcpPromptButton",3,!1),showAddButton=prop($$props,"showAddButton",3,!0),showModelSelector=prop($$props,"showModelSelector",3,!0),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy([])),value=prop($$props,"value",15,""),audioRecorder,chatFormActionsRef=state$1(void 0),fileInputRef=state$1(void 0),pickersRef=state$1( +void 0),textareaRef=state$1(void 0),isRecording=state$1(!1),recordingSupported=state$1(!1),isPromptPickerOpen=state$1(!1),promptSearchQuery=state$1(""),isInlineResourcePickerOpen=state$1(!1),resourceSearchQuery=state$1(""),isResourceDialogOpen=state$1(!1),preSelectedResourceUri=state$1(void 0),currentConfig=user_derived(config$1),pasteLongTextToFileLength=user_derived(()=>{const n=Number(get$3(currentConfig).pasteLongTextToFileLen);return Number.isNaN(n)?Number(SETTING_CONFIG_DEFAULT.pasteLongTextToFileLen): +n}),isRouter=user_derived(isRouterMode),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}), +hasModelSelected=user_derived(()=>!get$3(isRouter)||!!get$3(conversationModel)||!!selectedModelId()),hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading)),hasAttachments=user_derived(()=>attachments()&&attachments().length>0||uploadedFiles()&&uploadedFiles().length>0),canSubmit=user_derived(()=>value().trim().length>0||get$3(hasAttachments));onMount$1(()=>{set$1(recordingSupported,isAudioRecordingSupported(),!0),audioRecorder=new AudioRecorder});function focus2(){get$3(textareaRef)?. +focus()}function resetTextareaHeight(){get$3(textareaRef)?.resetHeight()}function openModelSelector(){get$3(chatFormActionsRef)?.openModelSelector()}function checkModelSelected(){return get$3(hasModelSelected)?!0:(get$3(chatFormActionsRef)?.openModelSelector(),!1)}function handleFileSelect(files){$$props.onFilesAdd?.(files)}function handleFileUpload(){get$3(fileInputRef)?.click()}function handleFileRemove(fileId){if(fileId.startsWith("attachment-")){const index2=parseInt(fileId.replace("attachme\ +nt-",""),10);!isNaN(index2)&&index2>=0&&index2item.kind==="file").map(item=>item.getAsFile()).filter(file=>file!==null);if(files.length>0){event2.preventDefault(),$$props.onFilesAdd?.(files);return}const text2=event2.clipboardData.getData(MimeTypeText.PLAIN);if(text2.startsWith(CLIPBOARD_CONTENT_QUOTE_PREFIX)){const parsed=parseClipboardContent(text2);if(parsed.textAttachments.length>0||parsed.mcpPromptAttachments.length> +0){if(event2.preventDefault(),value(parsed.message),$$props.onValueChange?.(parsed.message),parsed.textAttachments.length>0){const attachmentFiles=parsed.textAttachments.map(att=>new File([att.content],att.name,{type:MimeTypeText.PLAIN}));$$props.onFilesAdd?.(attachmentFiles)}if(parsed.mcpPromptAttachments.length>0){const mcpPromptFiles=parsed.mcpPromptAttachments.map(att=>({id:uuid$1(),name:att.name,size:att.content.length,type:SpecialFileType.MCP_PROMPT,file:new File([att.content],`${att.name}${FileExtensionText. +TXT}`,{type:MimeTypeText.PLAIN}),isLoading:!1,textContent:att.content,mcpPrompt:{serverName:att.serverName,promptName:att.promptName,arguments:att.arguments}}));uploadedFiles([...uploadedFiles(),...mcpPromptFiles]),$$props.onUploadedFilesChange?.(uploadedFiles())}setTimeout(()=>{get$3(textareaRef)?.focus()},10);return}}if(text2.length>0&&get$3(pasteLongTextToFileLength)>0&&text2.length>get$3(pasteLongTextToFileLength)){event2.preventDefault();const textFile=new File([text2],"Pasted",{type:MimeTypeText. +PLAIN});$$props.onFilesAdd?.([textFile])}}function handlePromptLoadStart(placeholderId,promptInfo,args){value().startsWith(PROMPT_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"");const promptName=promptInfo.title||promptInfo.name,placeholder2={id:placeholderId,name:promptName,size:INITIAL_FILE_SIZE,type:SpecialFileType.MCP_PROMPT,file:new File([],"loading"),isLoading:!0,mcpPrompt:{serverName:promptInfo.serverName,promptName:promptInfo. +name,arguments:args?{...args}:void 0}};uploadedFiles([...uploadedFiles(),placeholder2]),$$props.onUploadedFilesChange?.(uploadedFiles()),get$3(textareaRef)?.focus()}function handlePromptLoadComplete(placeholderId,result){const promptText=result.messages?.map(msg=>typeof msg.content=="string"?msg.content:msg.content.type===ContentPartType.TEXT?msg.content.text:"").filter(Boolean).join(PROMPT_CONTENT_SEPARATOR);uploadedFiles(uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,textContent:promptText, +size:promptText.length,file:new File([promptText],`${f.name}${FileExtensionText.TXT}`,{type:MimeTypeText.PLAIN})}:f)),$$props.onUploadedFilesChange?.(uploadedFiles())}function handlePromptLoadError(placeholderId,error2){uploadedFiles(uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,loadError:error2}:f)),$$props.onUploadedFilesChange?.(uploadedFiles())}function handlePromptPickerClose(){set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,""),get$3(textareaRef)?.focus()}function handleInlineResourcePickerClose(){ +set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$3(textareaRef)?.focus()}function handleInlineResourceSelect(){value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$3(textareaRef)?.focus()}function handleBrowseResources(){set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1( +isResourceDialogOpen,!0)}async function handleMicClick(){if(!audioRecorder||!get$3(recordingSupported)){console.warn("Audio recording not supported");return}if(get$3(isRecording)){set$1(isRecording,!1);try{const audioBlob=await audioRecorder.stopRecording(),wavBlob=await convertToWav(audioBlob),audioFile=createAudioFile(wavBlob);$$props.onFilesAdd?.([audioFile])}catch(error2){console.error("Failed to stop recording:",error2)}}else try{await audioRecorder.startRecording(),set$1(isRecording,!0)}catch(error2){ +console.error("Failed to start recording:",error2)}}var $$exports={focus:focus2,resetTextareaHeight,openModelSelector,checkModelSelected},fragment=root$1u(),node2=first_child(fragment);bind_this(ChatFormFileInputInvisible(node2,{onFileSelect:handleFileSelect}),$$value=>set$1(fileInputRef,$$value,!0),()=>get$3(fileInputRef));var form=sibling(node2,2),node_1=child(form);bind_this(ChatFormPickers(node_1,{get isPromptPickerOpen(){return get$3(isPromptPickerOpen)},get promptSearchQuery(){return get$3( +promptSearchQuery)},get isInlineResourcePickerOpen(){return get$3(isInlineResourcePickerOpen)},get resourceSearchQuery(){return get$3(resourceSearchQuery)},onPromptPickerClose:handlePromptPickerClose,onInlineResourcePickerClose:handleInlineResourcePickerClose,onInlineResourceSelect:handleInlineResourceSelect,onPromptLoadStart:handlePromptLoadStart,onPromptLoadComplete:handlePromptLoadComplete,onPromptLoadError:handlePromptLoadError,onInlineResourceBrowse:handleBrowseResources}),$$value=>set$1(pickersRef, +$$value,!0),()=>get$3(pickersRef));var div=sibling(node_1,2),node_2=child(div);{let $0=user_derived(()=>get$3(activeModelId)??void 0);ChatAttachmentsList(node_2,{get attachments(){return attachments()},onFileRemove:handleFileRemove,limitToSingleRow:!0,class:"py-5",style:"scroll-padding: 1rem;",get activeModelId(){return get$3($0)},get uploadedFiles(){return uploadedFiles()},set uploadedFiles($$value){uploadedFiles($$value)}})}var div_1=sibling(node_2,2),node_3=child(div_1);bind_this(ChatFormTextarea( +node_3,{class:"px-5 py-1.5 md:pt-0",onKeydown:handleKeydown,onInput:()=>{handleInput(),$$props.onValueChange?.(value())},get disabled(){return disabled()},get placeholder(){return placeholder()},get value(){return value()},set value($$value){value($$value)}}),$$value=>set$1(textareaRef,$$value,!0),()=>get$3(textareaRef));var node_4=sibling(node_3,2);{var consequent=$$anchor2=>{ChatFormMcpResourcesList($$anchor2,{class:"mb-3",onResourceClick:uri2=>{set$1(preSelectedResourceUri,uri2,!0),set$1(isResourceDialogOpen, +!0)}})},d2=user_derived(()=>mcpHasResourceAttachments());if_block(node_4,$$render=>{get$3(d2)&&$$render(consequent)})}var node_5=sibling(node_4,2);{let $0=user_derived(()=>showMcpPromptButton()?()=>set$1(isPromptPickerOpen,!0):void 0);bind_this(ChatFormActions(node_5,{class:"px-3",get canSend(){return get$3(canSubmit)},get disabled(){return disabled()},get isLoading(){return isLoading2()},get isRecording(){return get$3(isRecording)},get showAddButton(){return showAddButton()},get showModelSelector(){ +return showModelSelector()},get uploadedFiles(){return uploadedFiles()},onFileUpload:handleFileUpload,onMicClick:handleMicClick,get onStop(){return $$props.onStop},onSystemPromptClick:()=>$$props.onSystemPromptClick?.({message:value(),files:uploadedFiles()}),get onMcpPromptClick(){return get$3($0)},onMcpResourcesClick:()=>set$1(isResourceDialogOpen,!0)}),$$value=>set$1(chatFormActionsRef,$$value,!0),()=>get$3(chatFormActionsRef))}reset(div_1),reset(div),reset(form);var node_6=sibling(form,2);return DialogMcpResourcesBrowser( +node_6,{get preSelectedUri(){return get$3(preSelectedResourceUri)},onAttach:resource=>{mcpStore.attachResource(resource.uri)},onOpenChange:newOpen=>{newOpen||set$1(preSelectedResourceUri,void 0)},get open(){return get$3(isResourceDialogOpen)},set open($$value){set$1(isResourceDialogOpen,$$value,!0)}}),template_effect(()=>{set_class(form,1,`relative ${className()??""}`),set_class(div,1,`${INPUT_CLASSES??""} overflow-hidden rounded-3xl backdrop-blur-md ${disabled()?"cursor-not-allowed opacity-60": +""}`)}),event("submit",form,event2=>{event2.preventDefault(),!(!get$3(canSubmit)||disabled()||get$3(hasLoadingAttachments))&&$$props.onSubmit?.()}),event("paste",div_1,handlePaste),append($$anchor,fragment),pop($$exports)}function Dropdown_menu_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","sideOffset","portalProps","class"]);var fragment=comment$2(),node2=first_child( +fragment);component(node2,()=>Portal$2,($$anchor2,DropdownMenuPrimitive_Portal)=>{DropdownMenuPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-po\ +pover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20",$$props.class));component(node_1,()=>Dropdown_menu_content$1, +($$anchor4,DropdownMenuPrimitive_Content)=>{DropdownMenuPrimitive_Content($$anchor4,spread_props({"data-slot":"dropdown-menu-content",get sideOffset(){return sideOffset()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Dropdown_menu_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant", +3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","inset","variant"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("relative flex cursor-pointer items-center gap-2 rounded-sm px-2 py-1.5 text-sm outline-hidden select-none data-highlighted:bg-accent data-highlighted:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[inset]:pl-8 data-[variant=destructive]:text-destructive data-[var\ +iant=destructive]:data-highlighted:bg-destructive/10 data-[variant=destructive]:data-highlighted:text-destructive dark:data-[variant=destructive]:data-highlighted:bg-destructive/20 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground data-[variant=destructive]:*:[svg]:!text-destructive",$$props.class));component(node2,()=>Menu_item,($$anchor2,DropdownMenuPrimitive_Item)=>{DropdownMenuPrimitive_Item($$anchor2,spread_props( +{"data-slot":"dropdown-menu-item",get"data-inset"(){return $$props.inset},get"data-variant"(){return variant()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Dropdown_menu_separator($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived( +()=>cn$1("-mx-1 my-1 h-px bg-border/20",$$props.class));component(node2,()=>Menu_separator,($$anchor2,DropdownMenuPrimitive_Separator)=>{DropdownMenuPrimitive_Separator($$anchor2,spread_props({"data-slot":"dropdown-menu-separator",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Dropdown_menu_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props, +["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Menu_trigger,($$anchor2,DropdownMenuPrimitive_Trigger)=>{DropdownMenuPrimitive_Trigger($$anchor2,spread_props({"data-slot":"dropdown-menu-trigger"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}function Dropdown_menu_sub_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props( +$$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-\ +in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20",$$props.class));component(node2,()=>Menu_sub_content,($$anchor2,DropdownMenuPrimitive_SubContent)=>{DropdownMenuPrimitive_SubContent($$anchor2,spread_props({"data-slot":"dropdown-menu-sub-content",get class(){ +return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_1$P=from_html(" ",1);function Dropdown_menu_sub_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","inset","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center gap-2 rounded\ +-sm px-2 py-1.5 text-sm outline-hidden select-none data-highlighted:bg-accent data-highlighted:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[inset]:pl-8 data-[state=open]:bg-accent data-[state=open]:text-accent-foreground [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground",$$props.class));component(node2,()=>Menu_sub_trigger,($$anchor2,DropdownMenuPrimitive_SubTrigger)=>{ +DropdownMenuPrimitive_SubTrigger($$anchor2,spread_props({"data-slot":"dropdown-menu-sub-trigger",get"data-inset"(){return $$props.inset},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$P(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);Chevron_right(node_2,{class:"ml-auto size-4"}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})} +append($$anchor,fragment),pop()}const Sub=Menu_sub,Root$4=Menu;function useAttachmentMenu(getFlags,getCallbacks,close2){const modalityFlags=user_derived(getFlags),callbacks=user_derived(()=>{const cbs=getCallbacks(),wrap2=fn=>()=>{close2(),fn?.()};return{[AttachmentAction.FILE_UPLOAD]:wrap2(cbs.onFileUpload),[AttachmentAction.SYSTEM_PROMPT_CLICK]:wrap2(cbs.onSystemPromptClick),[AttachmentAction.MCP_PROMPT_CLICK]:wrap2(cbs.onMcpPromptClick),[AttachmentAction.MCP_RESOURCES_CLICK]:wrap2(cbs.onMcpResourcesClick)}}); +function isItemEnabled(enabledWhen){return!enabledWhen||enabledWhen==="always"?!0:!!get$3(modalityFlags)[enabledWhen]}function isItemVisible(visibleWhen){return visibleWhen?!!get$3(modalityFlags)[visibleWhen]:!0}function getSystemMessageTooltip(){return page$1.params.id?"Inject custom system message at the beginning of the conversation":"Add custom system message for a new conversation"}return{get callbacks(){return get$3(callbacks)},isItemEnabled,isItemVisible,getSystemMessageTooltip}}var root_6$s=from_html( +" ",1),root_10$f=from_html(" ",1),root_11$e=from_html("

          "),root_8$r=from_html(" ",1),root_16$6=from_html(" ",1),root_17$8=from_html("

          PDFs will be converted to text. Image-based PDFs may not work properly.

          "),root_13$d=from_html(" ",1),root_22$2=from_html(" ",1),root_23$5=from_html("

          "),root_20$5=from_html(" ",1),root_26$2=from_html(" ",1),root_3$S=from_html(" \ + ",1),root_1$O=from_html(" ",1),root$1t=from_html("
          ");function ChatFormActionAddDropdown($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),dropdownOpen=state$1(!1); +function handleMcpSettingsClick(){set$1(dropdownOpen,!1),$$props.onMcpSettingsClick?.()}const attachmentMenu=useAttachmentMenu(()=>({hasVisionModality:hasVisionModality(),hasAudioModality:hasAudioModality(),hasMcpPromptsSupport:hasMcpPromptsSupport(),hasMcpResourcesSupport:hasMcpResourcesSupport()}),()=>({onFileUpload:$$props.onFileUpload,onSystemPromptClick:$$props.onSystemPromptClick,onMcpPromptClick:$$props.onMcpPromptClick,onMcpResourcesClick:$$props.onMcpResourcesClick}),()=>{set$1(dropdownOpen, +!1)});var div=root$1t(),node2=child(div);component(node2,()=>Root$4,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{get open(){return get$3(dropdownOpen)},set open($$value){set$1(dropdownOpen,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment=root_1$O(),node_1=first_child(fragment);component(node_1,()=>Dropdown_menu_trigger,($$anchor4,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor4,{name:"Attach files",get disabled(){return disabled()},children:($$anchor5,$$slotProps2)=>{ +var fragment_1=comment$2(),node_2=first_child(fragment_1);snippet(node_2,()=>$$props.trigger,()=>({disabled:disabled()})),append($$anchor5,fragment_1)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Dropdown_menu_content,($$anchor4,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor4,{align:"start",class:"w-48",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_3$S(),node_4=first_child(fragment_2);each(node_4,17,()=>ATTACHMENT_FILE_ITEMS,item=>item.id,($$anchor6,item)=>{ +const enabled=user_derived(()=>attachmentMenu.isItemEnabled(get$3(item).enabledWhen));var fragment_3=comment$2(),node_5=first_child(fragment_3);{var consequent=$$anchor7=>{var fragment_4=comment$2(),node_6=first_child(fragment_4);{let $0=user_derived(()=>get$3(item).class??"");component(node_6,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor8,{get class(){return`${get$3($0)??""} flex cursor-pointer items-center gap-2`},onclick:()=>attachmentMenu.callbacks[get$3(item). +action](),children:($$anchor9,$$slotProps3)=>{var fragment_5=root_6$s(),node_7=first_child(fragment_5);component(node_7,()=>get$3(item).icon,($$anchor10,item_icon)=>{item_icon($$anchor10,{class:"h-4 w-4"})});var span=sibling(node_7,2),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,get$3(item).label)),append($$anchor9,fragment_5)},$$slots:{default:!0}})})}append($$anchor7,fragment_4)},consequent_1=$$anchor7=>{var fragment_6=comment$2(),node_8=first_child(fragment_6);component( +node_8,()=>Root$5,($$anchor8,Tooltip_Root)=>{Tooltip_Root($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_7=root_8$r(),node_9=first_child(fragment_7);component(node_9,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor10,{class:"w-full",children:($$anchor11,$$slotProps4)=>{var fragment_8=comment$2(),node_10=first_child(fragment_8);{let $0=user_derived(()=>get$3(item).class??"");component(node_10,()=>Dropdown_menu_item, +($$anchor12,DropdownMenu_Item_1)=>{DropdownMenu_Item_1($$anchor12,{get class(){return`${get$3($0)??""} flex cursor-pointer items-center gap-2`},disabled:!0,children:($$anchor13,$$slotProps5)=>{var fragment_9=root_10$f(),node_11=first_child(fragment_9);component(node_11,()=>get$3(item).icon,($$anchor14,item_icon_1)=>{item_icon_1($$anchor14,{class:"h-4 w-4"})});var span_1=sibling(node_11,2),text_1=child(span_1,!0);reset(span_1),template_effect(()=>set_text(text_1,get$3(item).label)),append($$anchor13, +fragment_9)},$$slots:{default:!0}})})}append($$anchor11,fragment_8)},$$slots:{default:!0}})});var node_12=sibling(node_9,2);component(node_12,()=>Tooltip_content,($$anchor10,Tooltip_Content)=>{Tooltip_Content($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p2=root_11$e(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,get$3(item).disabledTooltip)),append($$anchor11,p2)},$$slots:{default:!0}})}),append($$anchor9,fragment_7)},$$slots:{default:!0}})}),append($$anchor7, +fragment_6)};if_block(node_5,$$render=>{get$3(enabled)?$$render(consequent):get$3(item).disabledTooltip&&$$render(consequent_1,1)})}append($$anchor6,fragment_3)});var node_13=sibling(node_4,2);{var consequent_3=$$anchor6=>{var fragment_10=comment$2(),node_14=first_child(fragment_10);component(node_14,()=>Root$5,($$anchor7,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor7,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor8,$$slotProps3)=>{var fragment_11=root_13$d(),node_15=first_child( +fragment_11);component(node_15,()=>Tooltip_trigger,($$anchor9,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor9,{class:"w-full",children:($$anchor10,$$slotProps4)=>{var fragment_12=comment$2(),node_16=first_child(fragment_12);component(node_16,()=>Dropdown_menu_item,($$anchor11,DropdownMenu_Item_2)=>{DropdownMenu_Item_2($$anchor11,{class:"flex cursor-pointer items-center gap-2",get onclick(){return attachmentMenu.callbacks.onFileUpload},children:($$anchor12,$$slotProps5)=>{const pdfItem=user_derived( +()=>ATTACHMENT_FILE_ITEMS.find(i=>i.id===AttachmentMenuItemId.PDF));var fragment_13=comment$2(),node_17=first_child(fragment_13);{var consequent_2=$$anchor13=>{var fragment_14=root_16$6(),node_18=first_child(fragment_14);component(node_18,()=>get$3(pdfItem).icon,($$anchor14,pdfItem_icon)=>{pdfItem_icon($$anchor14,{class:"h-4 w-4"})});var span_2=sibling(node_18,2),text_3=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_3,get$3(pdfItem).label)),append($$anchor13,fragment_14)};if_block( +node_17,$$render=>{get$3(pdfItem)&&$$render(consequent_2)})}append($$anchor12,fragment_13)},$$slots:{default:!0}})}),append($$anchor10,fragment_12)},$$slots:{default:!0}})});var node_19=sibling(node_15,2);component(node_19,()=>Tooltip_content,($$anchor9,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor9,{side:"right",children:($$anchor10,$$slotProps4)=>{var p_1=root_17$8();append($$anchor10,p_1)},$$slots:{default:!0}})}),append($$anchor8,fragment_11)},$$slots:{default:!0}})}),append($$anchor6,fragment_10)}, +d2=user_derived(()=>!attachmentMenu.isItemEnabled("hasVisionModality"));if_block(node_13,$$render=>{get$3(d2)&&$$render(consequent_3)})}var node_20=sibling(node_13,2);component(node_20,()=>Dropdown_menu_separator,($$anchor6,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor6,{})});var node_21=sibling(node_20,2);each(node_21,17,()=>ATTACHMENT_EXTRA_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_15=comment$2(),node_22=first_child(fragment_15);{var consequent_4=$$anchor7=>{var fragment_16=comment$2(), +node_23=first_child(fragment_16);component(node_23,()=>Root$5,($$anchor8,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_17=root_20$5(),node_24=first_child(fragment_17);component(node_24,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor10,{class:"w-full",children:($$anchor11,$$slotProps4)=>{var fragment_18=comment$2(),node_25=first_child(fragment_18);component(node_25,()=>Dropdown_menu_item, +($$anchor12,DropdownMenu_Item_3)=>{DropdownMenu_Item_3($$anchor12,{class:"flex cursor-pointer items-center gap-2",onclick:()=>attachmentMenu.callbacks[get$3(item).action](),children:($$anchor13,$$slotProps5)=>{var fragment_19=root_22$2(),node_26=first_child(fragment_19);component(node_26,()=>get$3(item).icon,($$anchor14,item_icon_2)=>{item_icon_2($$anchor14,{class:"h-4 w-4"})});var span_3=sibling(node_26,2),text_4=child(span_3,!0);reset(span_3),template_effect(()=>set_text(text_4,get$3(item).label)), +append($$anchor13,fragment_19)},$$slots:{default:!0}})}),append($$anchor11,fragment_18)},$$slots:{default:!0}})});var node_27=sibling(node_24,2);component(node_27,()=>Tooltip_content,($$anchor10,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var 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ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data\ +-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,SheetPrimitive_Overlay)=>{SheetPrimitive_Overlay($$anchor2,spread_props({"data-slot":"sheet-overlay",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const sheetVariants=tv({base:`border-border/30 dark:border-border/20 da\ +ta-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fill-mode-forwards fixed z-50 flex flex-col gap-4 shadow-sm transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500 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fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,SheetPrimitive_Portal)=>{SheetPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$N(),node_1=first_child(fragment_1);Sheet_overlay(node_1,{});var node_2=sibling(node_1, +2);{let $0=user_derived(()=>cn$1(sheetVariants({side:side()}),$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,SheetPrimitive_Content)=>{SheetPrimitive_Content($$anchor4,spread_props({"data-slot":"sheet-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$12(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3);var node_4=sibling(node_3,2);component( +node_4,()=>Dialog_close,($$anchor6,SheetPrimitive_Close)=>{SheetPrimitive_Close($$anchor6,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:outline-hidden disabled:pointer-events-none",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$R(),node_5=first_child(fragment_3);X(node_5,{class:"size-4"}),next$1(2),append($$anchor7,fragment_3)},$$slots:{ +default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}var root$1s=from_html("
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          MCP Servers Tools
          ',1),root_1$M=from_html(" ",1),root$1r=from_html("
          ");function ChatFormActionAddSheet($$anchor,$$props){ +push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),sheetOpen=state$1(!1);const attachmentMenu=useAttachmentMenu(()=>({hasVisionModality:hasVisionModality(),hasAudioModality:hasAudioModality(),hasMcpPromptsSupport:hasMcpPromptsSupport(), +hasMcpResourcesSupport:hasMcpResourcesSupport()}),()=>({onFileUpload:$$props.onFileUpload,onSystemPromptClick:$$props.onSystemPromptClick,onMcpPromptClick:$$props.onMcpPromptClick,onMcpResourcesClick:$$props.onMcpResourcesClick}),()=>{set$1(sheetOpen,!1)}),sheetItemClass="flex w-full items-center gap-3 rounded-md px-3 py-2.5 text-left text-sm transition-colors hover:bg-accent active:bg-accent disabled:cursor-not-allowed disabled:opacity-50";var div=root$1r(),node2=child(div);component(node2,()=>Root$3, +($$anchor2,Sheet_Root)=>{Sheet_Root($$anchor2,{get open(){return get$3(sheetOpen)},set open($$value){set$1(sheetOpen,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment=root_1$M(),node_1=first_child(fragment);snippet(node_1,()=>$$props.trigger,()=>({disabled:disabled(),onclick:()=>set$1(sheetOpen,!0)}));var node_2=sibling(node_1,2);component(node_2,()=>Sheet_content,($$anchor4,Sheet_Content)=>{Sheet_Content($$anchor4,{side:"bottom",class:"max-h-[85vh] gap-0 overflow-y-auto",children:($$anchor5,$$slotProps2)=>{ +var fragment_1=root_2$11(),node_3=first_child(fragment_1);component(node_3,()=>Sheet_header,($$anchor6,Sheet_Header)=>{Sheet_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_2=root_3$Q(),node_4=first_child(fragment_2);component(node_4,()=>Sheet_title,($$anchor8,Sheet_Title)=>{Sheet_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Add to chat");append($$anchor9,text2)},$$slots:{default:!0}})});var node_5=sibling(node_4,2);component(node_5,()=>Sheet_description, +($$anchor8,Sheet_Description)=>{Sheet_Description($$anchor8,{class:"sr-only",children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Add files, system prompt or configure MCP servers");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_2)},$$slots:{default:!0}})});var div_1=sibling(node_3,2),node_6=child(div_1);each(node_6,17,()=>ATTACHMENT_FILE_ITEMS,item=>item.id,($$anchor6,item)=>{const enabled=user_derived(()=>attachmentMenu.isItemEnabled(get$3(item).enabledWhen)); +var fragment_3=comment$2(),node_7=first_child(fragment_3);{var consequent=$$anchor7=>{var button=root_7$r();set_class(button,1,clsx(sheetItemClass));var node_8=child(button);component(node_8,()=>get$3(item).icon,($$anchor8,item_icon)=>{item_icon($$anchor8,{class:"h-4 w-4 shrink-0"})});var span=sibling(node_8,2),text_2=child(span,!0);reset(span),reset(button),template_effect(()=>set_text(text_2,get$3(item).label)),delegated("click",button,()=>attachmentMenu.callbacks[get$3(item).action]()),append( +$$anchor7,button)},consequent_1=$$anchor7=>{var fragment_4=comment$2(),node_9=first_child(fragment_4);component(node_9,()=>Root$5,($$anchor8,Tooltip_Root)=>{Tooltip_Root($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_5=root_9$k(),node_10=first_child(fragment_5);component(node_10,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_1=root_10$e();set_class(button_1, +1,clsx(sheetItemClass));var node_11=child(button_1);component(node_11,()=>get$3(item).icon,($$anchor12,item_icon_1)=>{item_icon_1($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_1=sibling(node_11,2),text_3=child(span_1,!0);reset(span_1),reset(button_1),template_effect(()=>set_text(text_3,get$3(item).label)),append($$anchor11,button_1)},$$slots:{default:!0}})});var node_12=sibling(node_10,2);component(node_12,()=>Tooltip_content,($$anchor10,Tooltip_Content)=>{Tooltip_Content($$anchor10,{side:"r\ +ight",children:($$anchor11,$$slotProps4)=>{var p2=root_11$d(),text_4=child(p2,!0);reset(p2),template_effect(()=>set_text(text_4,get$3(item).disabledTooltip)),append($$anchor11,p2)},$$slots:{default:!0}})}),append($$anchor9,fragment_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_4)};if_block(node_7,$$render=>{get$3(enabled)?$$render(consequent):get$3(item).disabledTooltip&&$$render(consequent_1,1)})}append($$anchor6,fragment_3)});var node_13=sibling(node_6,2);{var consequent_3=$$anchor6=>{ +const pdfItem=user_derived(()=>ATTACHMENT_FILE_ITEMS.find(i=>i.id===AttachmentMenuItemId.PDF));var fragment_6=comment$2(),node_14=first_child(fragment_6);{var consequent_2=$$anchor7=>{var fragment_7=comment$2(),node_15=first_child(fragment_7);component(node_15,()=>Root$5,($$anchor8,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_8=root_14$5(),node_16=first_child(fragment_8);component(node_16,()=>Tooltip_trigger, +($$anchor10,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_2=root_15$9();set_class(button_2,1,clsx(sheetItemClass));var node_17=child(button_2);component(node_17,()=>get$3(pdfItem).icon,($$anchor12,pdfItem_icon)=>{pdfItem_icon($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_2=sibling(node_17,2),text_5=child(span_2,!0);reset(span_2),reset(button_2),template_effect(()=>set_text(text_5,get$3(pdfItem).label)),delegated("click",button_2,()=>attachmentMenu. +callbacks[get$3(pdfItem).action]()),append($$anchor11,button_2)},$$slots:{default:!0}})});var node_18=sibling(node_16,2);component(node_18,()=>Tooltip_content,($$anchor10,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p_1=root_16$5();append($$anchor11,p_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_8)},$$slots:{default:!0}})}),append($$anchor7,fragment_7)};if_block(node_14,$$render=>{get$3(pdfItem)&&$$render(consequent_2)})}append( +$$anchor6,fragment_6)},d2=user_derived(()=>!attachmentMenu.isItemEnabled("hasVisionModality"));if_block(node_13,$$render=>{get$3(d2)&&$$render(consequent_3)})}var node_19=sibling(node_13,2);each(node_19,17,()=>ATTACHMENT_EXTRA_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_9=comment$2(),node_20=first_child(fragment_9);{var consequent_4=$$anchor7=>{var fragment_10=comment$2(),node_21=first_child(fragment_10);component(node_21,()=>Root$5,($$anchor8,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor8,{ +get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_11=root_19$9(),node_22=first_child(fragment_11);component(node_22,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_3=root_20$4();set_class(button_3,1,clsx(sheetItemClass));var node_23=child(button_3);component(node_23,()=>get$3(item).icon,($$anchor12,item_icon_2)=>{item_icon_2($$anchor12,{class:"h-4 w-4 shrink-0"})}); +var span_3=sibling(node_23,2),text_6=child(span_3,!0);reset(span_3),reset(button_3),template_effect(()=>set_text(text_6,get$3(item).label)),delegated("click",button_3,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor11,button_3)},$$slots:{default:!0}})});var node_24=sibling(node_22,2);component(node_24,()=>Tooltip_content,($$anchor10,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p_2=root_21$3(),text_7=child(p_2,!0);reset( +p_2),template_effect($0=>set_text(text_7,$0),[()=>attachmentMenu.getSystemMessageTooltip()]),append($$anchor11,p_2)},$$slots:{default:!0}})}),append($$anchor9,fragment_11)},$$slots:{default:!0}})}),append($$anchor7,fragment_10)};if_block(node_20,$$render=>{get$3(item).id===AttachmentMenuItemId.SYSTEM_MESSAGE&&$$render(consequent_4)})}append($$anchor6,fragment_9)});var a=sibling(node_19,4),node_25=child(a);McpLogo(node_25,{class:"inline h-4 w-4"}),next$1(2),reset(a);var a_1=sibling(a,2),node_26=child( +a_1);Pencil_ruler(node_26,{class:"inline h-4 w-4"}),next$1(2),reset(a_1);var node_27=sibling(a_1,2);each(node_27,17,()=>ATTACHMENT_MCP_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_12=comment$2(),node_28=first_child(fragment_12);{var consequent_5=$$anchor7=>{var button_4=root_23$4();set_class(button_4,1,clsx(sheetItemClass));var node_29=child(button_4);component(node_29,()=>get$3(item).icon,($$anchor8,item_icon_3)=>{item_icon_3($$anchor8,{class:"h-4 w-4 shrink-0"})});var span_4=sibling(node_29, +2),text_8=child(span_4,!0);reset(span_4),reset(button_4),template_effect(()=>set_text(text_8,get$3(item).label)),delegated("click",button_4,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor7,button_4)},d_12=user_derived(()=>attachmentMenu.isItemVisible(get$3(item).visibleWhen));if_block(node_28,$$render=>{get$3(d_12)&&$$render(consequent_5)})}append($$anchor6,fragment_12)}),reset(div_1),template_effect($0=>{set_attribute(a,"href",ROUTES.MCP_SERVERS),set_attribute(a_1,"href",$0)}, +[()=>RouterService.settings(SETTINGS_SECTION_SLUGS.TOOLS)]),append($$anchor5,fragment_1)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div),pop()}delegate(["click"]);var root_3$P=from_html(' ',1),root_4$A=from_html("

          "),root_1$L=from_html(" ",1);function ChatFormActionAddButton($$anchor,$$props){let disabled=prop( +$$props,"disabled",3,!1);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$L(),node_1=first_child(fragment_1);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{class:"w-full",children:($$anchor5,$$slotProps2)=>{Button($$anchor5,{class:"file-upload-button h-8 w-8 rounded-full p-0",get disabled(){return disabled()},get onclick(){ +return $$props.onclick},variant:"secondary",type:"button",children:($$anchor6,$$slotProps3)=>{var fragment_3=root_3$P(),span=first_child(fragment_3),text2=child(span,!0);reset(span);var node_2=sibling(span,2);Plus(node_2,{class:"h-4 w-4"}),template_effect(()=>set_text(text2,ATTACHMENT_TOOLTIP_TEXT)),append($$anchor6,fragment_3)},$$slots:{default:!0}})},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4, +{children:($$anchor5,$$slotProps2)=>{var p2=root_4$A(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,ATTACHMENT_TOOLTIP_TEXT)),append($$anchor5,p2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment)}function ChatFormActionsAdd($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1), +hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1);const isMobile=new IsMobile;var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{ChatFormActionAddSheet($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return hasAudioModality()},get hasVisionModality(){return hasVisionModality()},get hasMcpPromptsSupport(){return hasMcpPromptsSupport()},get hasMcpResourcesSupport(){return hasMcpResourcesSupport()}, +get onFileUpload(){return $$props.onFileUpload},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){return $$props.onMcpResourcesClick},trigger:($$anchor3,$$arg0)=>{let disabled2=()=>$$arg0?.().disabled,onclick=()=>$$arg0?.().onclick;ChatFormActionAddButton($$anchor3,{get disabled(){return disabled2()},get onclick(){return onclick()}})},$$slots:{trigger:!0}})},alternate=$$anchor2=>{ChatFormActionAddDropdown($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){ +return hasAudioModality()},get hasVisionModality(){return hasVisionModality()},get hasMcpPromptsSupport(){return hasMcpPromptsSupport()},get hasMcpResourcesSupport(){return hasMcpResourcesSupport()},get onFileUpload(){return $$props.onFileUpload},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){return $$props.onMcpResourcesClick},get onMcpSettingsClick(){return $$props.onMcpSettingsClick},get onSystemPromptClick(){return $$props.onSystemPromptClick},trigger:$$anchor3=>{ +ChatFormActionAddButton($$anchor3,{get disabled(){return disabled()}})},$$slots:{trigger:!0}})};if_block(node2,$$render=>{isMobile.current?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$O=from_html(' ',1),root_7$q=from_html("

          Current model does not support audio

          "),root_1$K=from_html(" ",1),root$1q=from_html("
          ");function ChatFormActionRecord($$anchor,$$props){let className=prop($$props,"class",3,""), +disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),isLoading2=prop($$props,"isLoading",3,!1),isRecording=prop($$props,"isRecording",3,!1);var div=root$1q(),node2=child(div);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment=root_1$K(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{ +{let $0=user_derived(()=>isRecording()?"animate-pulse bg-red-500 text-white hover:bg-red-600":""),$1=user_derived(()=>disabled()||isLoading2()||!hasAudioModality());Button($$anchor5,{get class(){return`h-8 w-8 rounded-full p-0 ${get$3($0)??""}`},get disabled(){return get$3($1)},get onclick(){return $$props.onMicClick},type:"button",children:($$anchor6,$$slotProps3)=>{var fragment_2=root_3$O(),span=first_child(fragment_2),text2=child(span,!0);reset(span);var node_2=sibling(span,2);{var consequent=$$anchor7=>{ +Square($$anchor7,{class:"h-4 w-4 animate-pulse fill-white"})},alternate=$$anchor7=>{Mic($$anchor7,{class:"h-4 w-4"})};if_block(node_2,$$render=>{isRecording()?$$render(consequent):$$render(alternate,-1)})}template_effect(()=>set_text(text2,isRecording()?"Stop recording":"Start recording")),append($$anchor6,fragment_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent_1=$$anchor4=>{var fragment_5=comment$2(),node_4=first_child(fragment_5);component(node_4, +()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_7$q();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_5)};if_block(node_3,$$render=>{hasAudioModality()||$$render(consequent_1)})}append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div)}var root_1$J=from_html('
          '),root_4$z=from_html('Stop ',1),root$1p=from_html('
          ');function ChatFormActions($$anchor,$$props){push$1($$props,!0);let canSend=prop($$props,"canSend",3,!1),canSubmit=prop($$props,"canSubmit",3,!1),className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,"isLoading",3,!1),isRecording=prop($$props,"isRecording",3,!1),showAddButton=prop($$props, +"showAddButton",3,!0),showModelSelector=prop($$props,"showModelSelector",3,!0),uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),currentConfig=user_derived(config$1),hasMcpPromptsSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore.hasPromptsCapability(perChatOverrides)}),hasMcpResourcesSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore.hasResourcesCapability(perChatOverrides)}), +hasAudioModality=state$1(!1),hasVisionModality=state$1(!1),hasModelSelected=state$1(!1),isSelectedModelInCache=state$1(!0),submitTooltip=state$1(""),hasAudioAttachments=user_derived(()=>uploadedFiles().some(file=>getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)),shouldShowRecordButton=user_derived(()=>get$3(hasAudioModality)&&!canSubmit()&&!get$3(hasAudioAttachments)&&get$3(currentConfig).autoMicOnEmpty),selectorModelRef=state$1(void 0);function openModelSelector(){get$3(selectorModelRef)?. +open()}var $$exports={openModelSelector},div=root$1p(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$J(),node_1=child(div_1);ChatFormActionsAdd(node_1,{get disabled(){return disabled()},get hasAudioModality(){return get$3(hasAudioModality)},get hasVisionModality(){return get$3(hasVisionModality)},get hasMcpPromptsSupport(){return get$3(hasMcpPromptsSupport)},get hasMcpResourcesSupport(){return get$3(hasMcpResourcesSupport)},get onFileUpload(){return $$props.onFileUpload},get onSystemPromptClick(){ +return $$props.onSystemPromptClick},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){return $$props.onMcpResourcesClick},onMcpSettingsClick:()=>goto(ROUTES.MCP_SERVERS)}),reset(div_1),append($$anchor2,div_1)};if_block(node2,$$render=>{showAddButton()&&$$render(consequent)})}var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{bind_this(ChatFormActionModels($$anchor2,{get disabled(){return disabled()},forceForegroundText:!0,useGlobalSelection:!0,get hasAudioModality(){ +return get$3(hasAudioModality)},set hasAudioModality($$value){set$1(hasAudioModality,$$value,!0)},get hasVisionModality(){return get$3(hasVisionModality)},set hasVisionModality($$value){set$1(hasVisionModality,$$value,!0)},get hasModelSelected(){return get$3(hasModelSelected)},set hasModelSelected($$value){set$1(hasModelSelected,$$value,!0)},get isSelectedModelInCache(){return get$3(isSelectedModelInCache)},set isSelectedModelInCache($$value){set$1(isSelectedModelInCache,$$value,!0)},get submitTooltip(){ +return get$3(submitTooltip)},set submitTooltip($$value){set$1(submitTooltip,$$value,!0)}}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$3(selectorModelRef))};if_block(node_2,$$render=>{showModelSelector()&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{Button($$anchor2,{type:"button",variant:"secondary",get onclick(){return $$props.onStop},class:"group h-8 w-8 rounded-full p-0 hover:bg-destructive/10!",children:($$anchor3,$$slotProps)=>{var fragment_2=root_4$z(), +node_4=sibling(first_child(fragment_2),2);Square(node_4,{class:"h-8 w-8 fill-muted-foreground stroke-muted-foreground group-hover:fill-destructive group-hover:stroke-destructive hover:fill-destructive hover:stroke-destructive"}),append($$anchor3,fragment_2)},$$slots:{default:!0}})},consequent_3=$$anchor2=>{ChatFormActionRecord($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return get$3(hasAudioModality)},get isLoading(){return isLoading2()},get isRecording(){return isRecording()}, +get onMicClick(){return $$props.onMicClick}})},alternate=$$anchor2=>{{let $0=user_derived(()=>canSend()&&(showModelSelector()?get$3(hasModelSelected)&&get$3(isSelectedModelInCache):!0)),$1=user_derived(()=>showModelSelector()&&get$3(hasModelSelected)&&!get$3(isSelectedModelInCache));ChatFormActionSubmit($$anchor2,{get canSend(){return get$3($0)},get disabled(){return disabled()},get tooltipLabel(){return get$3(submitTooltip)},get showErrorState(){return get$3($1)}})}};if_block(node_3,$$render=>{ +isLoading2()&&!canSubmit()?$$render(consequent_2):get$3(shouldShowRecordButton)?$$render(consequent_3,1):$$render(alternate,-1)})}return reset(div),template_effect(()=>set_class(div,1,`flex w-full items-center gap-3 ${className()??""} ${showAddButton()?"":"justify-end"}`)),append($$anchor,div),pop($$exports)}var root_2$10=from_html('Send ',1),root_6$r=from_html("

          "),root_4$y=from_html(" ",1);function ChatFormActionSubmit($$anchor,$$props){const submitButton=($$anchor2,$$arg0)=>{ +let props=derived_safe_equal(()=>fallback($$arg0?.(),()=>({}),!0));{let $0=user_derived(()=>["h-8 w-8 rounded-full p-0",showErrorState()&&"bg-red-400/10 text-red-400 hover:bg-red-400/20 hover:text-red-400 disabled:opacity-100"]);Button($$anchor2,spread_props({type:"submit",get disabled(){return get$3(isDisabled)},get class(){return get$3($0)}},()=>get$3(props),{children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$10(),node2=sibling(first_child(fragment_1),2);Arrow_up(node2,{class:"h-12 w-12"}), +append($$anchor3,fragment_1)},$$slots:{default:!0}}))}};let canSend=prop($$props,"canSend",3,!1),disabled=prop($$props,"disabled",3,!1),showErrorState=prop($$props,"showErrorState",3,!1),isDisabled=user_derived(()=>!canSend()||disabled());var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor2=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);component(node_2,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_4$y(), +node_3=first_child(fragment_4);component(node_3,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{submitButton($$anchor6)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_6$r(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.tooltipLabel)),append($$anchor6,p2)},$$slots:{ +default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),append($$anchor2,fragment_3)},alternate=$$anchor2=>{submitButton($$anchor2)};if_block(node_1,$$render=>{$$props.tooltipLabel?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment_2)}function ChatFormActionModels($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),hasAudioModality=prop($$props,"hasAudioModality",15,!1),hasVisionModality=prop( +$$props,"hasVisionModality",15,!1),hasModelSelected=prop($$props,"hasModelSelected",15,!1),isSelectedModelInCache=prop($$props,"isSelectedModelInCache",15,!0),submitTooltip=prop($$props,"submitTooltip",15,""),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),isRouter=user_derived(isRouterMode),isOffline=user_derived(()=>!!serverError()),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),lastSyncedConversationModel=null;user_effect(()=>{if(get$3(conversationModel)&& +get$3(conversationModel)!==lastSyncedConversationModel)lastSyncedConversationModel=get$3(conversationModel),modelsStore.selectModelByName(get$3(conversationModel));else if(get$3(isRouter)&&!modelsStore.selectedModelId&&modelsStore.loadedModelIds.length>0){lastSyncedConversationModel=null;const first=modelOptions().find(m=>modelsStore.loadedModelIds.includes(m.model));first&&modelsStore.selectModelById(first.id)}});let activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter)) +return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}),modelPropsVersion=state$1(0);user_effect(()=>{get$3(activeModelId)&&(modelsStore.getModelProps(get$3(activeModelId))||modelsStore.fetchModelProps(get$3(activeModelId)).then(()=>{update$1(modelPropsVersion)}))}), +user_effect(()=>{hasAudioModality(get$3(activeModelId)?modelsStore.modelSupportsAudio(get$3(activeModelId)):!1)}),user_effect(()=>{get$3(modelPropsVersion),hasVisionModality(get$3(activeModelId)?modelsStore.modelSupportsVision(get$3(activeModelId)):!1)}),user_effect(()=>{hasModelSelected(!get$3(isRouter)||!!get$3(conversationModel)||!!selectedModelId())}),user_effect(()=>{if(!get$3(isRouter))isSelectedModelInCache(!0);else if(get$3(conversationModel))isSelectedModelInCache(modelOptions().some(option2=>option2. +model===get$3(conversationModel)));else{const currentModelId=selectedModelId();isSelectedModelInCache(currentModelId?modelOptions().some(option2=>option2.id===currentModelId):!1)}}),user_effect(()=>{hasModelSelected()?isSelectedModelInCache()?submitTooltip(""):submitTooltip("Selected model is not available, please select another"):submitTooltip("Please select a model first")});let selectorModelRef=state$1(void 0),isMobile=new IsMobile;function open2(){get$3(selectorModelRef)?.open()}var $$exports={ +open:open2},fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{{let $0=user_derived(()=>disabled()||get$3(isOffline));bind_this(ModelsSelectorSheet($$anchor2,{get disabled(){return get$3($0)},get currentModel(){return $$props.currentModel},get forceForegroundText(){return forceForegroundText()},get useGlobalSelection(){return useGlobalSelection()}}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$3(selectorModelRef))}},alternate=$$anchor2=>{{let $0=user_derived(()=>disabled()|| +get$3(isOffline));bind_this(ModelsSelectorDropdown($$anchor2,{get disabled(){return get$3($0)},get currentModel(){return $$props.currentModel},get forceForegroundText(){return forceForegroundText()},get useGlobalSelection(){return useGlobalSelection()}}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$3(selectorModelRef))}};if_block(node2,$$render=>{isMobile.current?$$render(consequent):$$render(alternate,-1)})}return append($$anchor,fragment),pop($$exports)}function Collapsible($$anchor,$$props){ +push$1($$props,!0);let ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","open"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible$1,($$anchor2,CollapsiblePrimitive_Root)=>{CollapsiblePrimitive_Root($$anchor2,spread_props({"data-slot":"collapsible"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get open(){return open2()},set open($$value){open2($$value)}}))}), +append($$anchor,fragment),pop()}function Collapsible_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible_trigger$1,($$anchor2,CollapsiblePrimitive_Trigger)=>{CollapsiblePrimitive_Trigger($$anchor2,spread_props({"data-slot":"collapsible-trigger"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}), +append($$anchor,fragment),pop()}function Collapsible_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible_content$1,($$anchor2,CollapsiblePrimitive_Content)=>{CollapsiblePrimitive_Content($$anchor2,spread_props({"data-slot":"collapsible-content"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}), +append($$anchor,fragment),pop()}function useToolsPanel(){const expandedGroups=new SvelteSet,groups=user_derived(()=>toolsStore.toolGroups),activeGroups=user_derived(()=>get$3(groups).filter(g=>g.source!==ToolSource.MCP||!g.serverId||conversationsStore.isMcpServerEnabledForChat(g.serverId))),totalToolCount=user_derived(()=>get$3(activeGroups).reduce((n,g)=>n+g.tools.length,0)),noToolsInfoMessage=user_derived(()=>toolsStore.loading||toolsStore.toolGroups.length>0?null:toolsStore.isToolsEndpointUnreachable? +"To enable Built-In Tools you need to run llama-server with --tools all or --tools flag. To see MCP Tools you need to add / enable MCP Server(s).":toolsStore.error?null:"To enable Built-In Tools you need to run llama-server with --tools all or --tools flag. To see MCP Tools you need to add / enable MCP Server(s).");function getGroupCheckedState(group){return{checked:toolsStore.isGroupFullyEnabled(group),indeterminate:toolsStore.isGroupPartiallyEnabled(group)}}function getEnabledToolCount(group){ +return group.tools.filter(tool=>toolsStore.isToolEnabled(tool.function.name)).length}function getFavicon(group){if(group.source!==ToolSource.MCP)return null;for(const server of mcpStore.getServersSorted())if(mcpStore.getServerLabel(server)===group.label)return mcpStore.getServerFavicon(server.id);return null}function isGroupDisabled(group){return group.source===ToolSource.MCP&&!!group.serverId&&!conversationsStore.isMcpServerEnabledForChat(group.serverId)}function toggleGroupExpanded(label){expandedGroups. +has(label)?expandedGroups.delete(label):expandedGroups.add(label)}function handleOpen(){toolsStore.builtinTools.length===0&&!toolsStore.loading&&toolsStore.fetchBuiltinTools(),mcpStore.runHealthChecksForServers(mcpStore.getServersSorted().filter(s2=>s2.enabled))}return{expandedGroups,get groups(){return get$3(groups)},get activeGroups(){return get$3(activeGroups)},get totalToolCount(){return get$3(totalToolCount)},get noToolsInfoMessage(){return get$3(noToolsInfoMessage)},getGroupCheckedState,getEnabledToolCount, +getFavicon,isGroupDisabled,toggleGroupExpanded,handleOpen}}var root_2$$=from_html(" Tools",1),root_5$r=from_html('
          Loading tools...
          '),root_6$q=from_html('
          Run llama-server with --tools flag to enable Built-in Tools. MCP To\ +ols.
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          Failed to load tools
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+if_block(node_12,$$render=>{get$3(isExpanded)?$$render(consequent_5):$$render(alternate_1,-1)})}var span_4=sibling(node_12,2),node_13=child(span_4);{var consequent_6=$$anchor12=>{var img=root_16$4();template_effect(()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor12,img)};if_block(node_13,$$render=>{get$3(favicon)&&$$render(consequent_6)})}var span_5=sibling(node_13,2),text_2=child(span_5,!0);reset(span_5), +reset(span_4);var span_6=sibling(span_4,2),text_3=child(span_6);reset(span_6),template_effect($0=>{set_text(text_2,get$3(group).label),set_text(text_3,`${$0??""}/${get$3(group).tools.length??""}`)},[()=>toolsPanel.getEnabledToolCount(get$3(group))]),append($$anchor11,fragment_7)},$$slots:{default:!0}})});var node_14=sibling(node_11,2);component(node_14,()=>Root$5,($$anchor10,Tooltip_Root)=>{Tooltip_Root($$anchor10,{children:($$anchor11,$$slotProps4)=>{var fragment_10=root_17$7(),node_15=first_child( +fragment_10);component(node_15,()=>Tooltip_trigger,($$anchor12,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor12,{children:($$anchor13,$$slotProps5)=>{Checkbox($$anchor13,{get checked(){return get$3(computed_const).checked},get indeterminate(){return get$3(computed_const).indeterminate},onCheckedChange:()=>toolsStore.toggleGroup(get$3(group)),class:"mr-2 h-4 w-4 shrink-0"})},$$slots:{default:!0}})});var node_16=sibling(node_15,2);component(node_16,()=>Tooltip_content,($$anchor12,Tooltip_Content)=>{Tooltip_Content( +$$anchor12,{side:"right",children:($$anchor13,$$slotProps5)=>{var p2=root_19$8(),text_4=child(p2);reset(p2),template_effect(()=>set_text(text_4,`${get$3(computed_const).checked?"Disable":"Enable"} + ${get$3(group).tools.length??""} tool${get$3(group).tools.length!==1?"s":""}`)),append($$anchor13,p2)},$$slots:{default:!0}})}),append($$anchor11,fragment_10)},$$slots:{default:!0}})}),reset(div_6);var node_17=sibling(div_6,2);component(node_17,()=>Collapsible_content,($$anchor10,Collapsible_Content)=>{Collapsible_Content($$anchor10,{children:($$anchor11,$$slotProps4)=>{var div_7=root_20$3();each(div_7,21,()=>get$3(group).tools,tool=>tool.function.name,($$anchor12,tool)=>{var button=root_21$2(), node_18=child(button);{let $0=user_derived(()=>toolsStore.isToolEnabled(get$3(tool).function.name));Checkbox(node_18,{get checked(){return get$3($0)},onCheckedChange:()=>toolsStore.toggleTool(get$3(tool).function.name),class:"h-4 w-4 shrink-0"})}var span_7=sibling(node_18,2),text_5=child(span_7,!0);reset(span_7),reset(button),template_effect(()=>set_text(text_5,get$3(tool).function.name)),delegated("click",button,()=>toolsStore.toggleTool(get$3(tool).function.name)),append($$anchor12,button)}),reset( -div_7),append($$anchor11,div_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_6)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)}),reset(div_5),append($$anchor6,div_5)};if_block(node_4,$$render=>{toolsPanel.totalToolCount===0?$$render(consequent_4):$$render(alternate_2,-1)})}append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);var root_2$F=from_html(" MCP Servers",1),root_6$f=from_html(" Manage MCP Servers",1),root_9$d=from_html(''),root_10$9=from_html('Error'),root_8$f=from_html(''),root_7$g=from_html('
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          No MCP servers configured
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          Press Enter to send, Shift + Enter for new line

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          ");function ChatFormHelperText($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),show=prop($$props,"show",3,!0),sendOnEnter=user_derived(()=>config$1().sendOnEnter!==!1),modKey=/Mac|iPhone|iPad|iPod/.test(navigator.platform)?"Cmd":"Ctrl";var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var div=root_1$w(), -node_1=child(div);{var consequent=$$anchor3=>{var p2=root_2$E();append($$anchor3,p2)},alternate=$$anchor3=>{var p_1=root_3$q(),kbd=sibling(child(p_1)),text2=child(kbd);reset(kbd),next$1(3),reset(p_1),template_effect(()=>set_text(text2,`${modKey} + Enter`)),append($$anchor3,p_1)};if_block(node_1,$$render=>{get$3(sendOnEnter)?$$render(consequent):$$render(alternate,-1)})}reset(div),template_effect(()=>set_class(div,1,`mt-6 items-center justify-center ${className()??""} hidden md:flex`)),append($$anchor2, -div)};if_block(node2,$$render=>{show()&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root$_=from_html('
          ');function ChatFormTextarea($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),placeholder=prop($$props,"placeholder",3,"Ask anything..."),value=prop($$props,"value",15,""),textareaElement;onMount$1(()=>{textareaElement&&(autoResizeTextarea( -textareaElement),textareaElement.focus())});function getElement(){return textareaElement}function focus2(){textareaElement?.focus()}function resetHeight(){textareaElement&&(textareaElement.style.height="1rem")}var $$exports={getElement,focus:focus2,resetHeight},div=root$_(),textarea=child(div);remove_textarea_child(textarea);let classes;return bind_this(textarea,$$value=>textareaElement=$$value,()=>textareaElement),reset(div),template_effect(()=>{set_class(div,1,`flex-1 ${className()??""}`),classes= -set_class(textarea,1,"text-md min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0",null,classes,{"cursor-not-allowed":disabled()}),textarea.disabled=disabled(),set_attribute(textarea,"placeholder",placeholder())}),delegated("keydown",textarea,function(...$$args){$$props.onKeydown?.apply(this,$$args)}),delegated("input",textarea,event2=>{autoResizeTextarea(event2.currentTarget),$$props.onInput?.()}), -event("paste",textarea,function(...$$args){$$props.onPaste?.apply(this,$$args)}),bind_value(textarea,value),append($$anchor,div),pop($$exports)}delegate(["keydown","input"]);var root_2$D=from_html('
          ');function ChatFormPromptPicker($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),prompts=state$1(proxy([])),isLoading2=state$1(!1),selectedPrompt=state$1(null),promptArgs=state$1( -proxy({})),selectedIndex=state$1(0),internalSearchQuery=state$1(""),promptError=state$1(null),selectedIndexBeforeArgumentForm=state$1(null),suggestions=proxy({}),loadingSuggestions=proxy({}),activeAutocomplete=state$1(null),autocompleteIndex=state$1(0),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()?(loadPrompts(),set$1(selectedIndex,0)):(set$1(selectedPrompt, -null),set$1(promptArgs,{},!0),set$1(promptError,null))}),user_effect(()=>{get$3(filteredPrompts).length>0&&get$3(selectedIndex)>=get$3(filteredPrompts).length&&set$1(selectedIndex,0)});async function loadPrompts(){set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(prompts,[],!0);return}set$1(prompts,await mcpStore.getAllPrompts(),!0)}catch(error2){console.error("[ChatFormPromptPicker] Failed \ -to load prompts:",error2),set$1(prompts,[],!0)}finally{set$1(isLoading2,!1)}}function handlePromptClick(prompt){const args=prompt.arguments??[];args.length>0?(set$1(selectedIndexBeforeArgumentForm,get$3(selectedIndex),!0),set$1(selectedPrompt,prompt,!0),set$1(promptArgs,{},!0),set$1(promptError,null),requestAnimationFrame(()=>{const firstInput=document.querySelector(`#arg-${args[0].name}`);firstInput&&firstInput.focus()})):executePrompt(prompt,{})}async function executePrompt(prompt,args){set$1( -promptError,null);const placeholderId=uuid$1(),nonEmptyArgs=Object.fromEntries(Object.entries(args).filter(([,value])=>value.trim()!=="")),argsToPass=Object.keys(nonEmptyArgs).length>0?nonEmptyArgs:void 0;$$props.onPromptLoadStart?.(placeholderId,prompt,argsToPass),$$props.onClose?.();try{const result=await mcpStore.getPrompt(prompt.serverName,prompt.name,args);$$props.onPromptLoadComplete?.(placeholderId,result)}catch(error2){const errorMessage=error2 instanceof Error?error2.message:"Unknown er\ -ror executing prompt";$$props.onPromptLoadError?.(placeholderId,errorMessage)}}function handleArgumentSubmit(event2){event2.preventDefault(),get$3(selectedPrompt)&&executePrompt(get$3(selectedPrompt),get$3(promptArgs))}const fetchCompletions=debounce(async(argName,value)=>{if(!get$3(selectedPrompt)||value.length<1){suggestions[argName]=[];return}loadingSuggestions[argName]=!0;try{const result=await mcpStore.getPromptCompletions(get$3(selectedPrompt).serverName,get$3(selectedPrompt).name,argName, -value);if(result&&result.values.length>0){const filteredValues=result.values.filter(v=>v.trim()!=="");filteredValues.length>0?(suggestions[argName]=filteredValues,set$1(activeAutocomplete,argName,!0),set$1(autocompleteIndex,0)):suggestions[argName]=[]}else suggestions[argName]=[]}catch(error2){console.error("[ChatFormPromptPicker] Failed to fetch completions:",error2),suggestions[argName]=[]}finally{loadingSuggestions[argName]=!1}},200);function handleArgInput(argName,value){get$3(promptArgs)[argName]= -value,fetchCompletions(argName,value)}function selectSuggestion(argName,value){get$3(promptArgs)[argName]=value,suggestions[argName]=[],set$1(activeAutocomplete,null)}function handleArgKeydown(event2,argName){const argSuggestions=suggestions[argName]??[];if(event2.key===KeyboardKey.ESCAPE){event2.preventDefault(),event2.stopPropagation(),handleCancelArgumentForm();return}argSuggestions.length===0||get$3(activeAutocomplete)!==argName||(event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(), -set$1(autocompleteIndex,Math.min(get$3(autocompleteIndex)+1,argSuggestions.length-1),!0)):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),set$1(autocompleteIndex,Math.max(get$3(autocompleteIndex)-1,0),!0)):event2.key===KeyboardKey.ENTER&&argSuggestions[get$3(autocompleteIndex)]&&(event2.preventDefault(),event2.stopPropagation(),selectSuggestion(argName,argSuggestions[get$3(autocompleteIndex)])))}function handleArgBlur(argName){setTimeout(()=>{get$3(activeAutocomplete)===argName&&(suggestions[argName]= -[],set$1(activeAutocomplete,null))},150)}function handleArgFocus(argName){(suggestions[argName]?.length??0)>0&&set$1(activeAutocomplete,argName,!0)}function handleCancelArgumentForm(){get$3(selectedIndexBeforeArgumentForm)!==null&&(set$1(selectedIndex,get$3(selectedIndexBeforeArgumentForm),!0),set$1(selectedIndexBeforeArgumentForm,null)),set$1(selectedPrompt,null),set$1(promptArgs,{},!0),set$1(promptError,null)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2. -preventDefault(),get$3(selectedPrompt)?handleCancelArgumentForm():$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),get$3(filteredPrompts).length>0&&set$1(selectedIndex,(get$3(selectedIndex)+1)%get$3(filteredPrompts).length),!0):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),get$3(filteredPrompts).length>0&&set$1(selectedIndex,get$3(selectedIndex)===0?get$3(filteredPrompts).length-1:get$3(selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER&&!get$3( -selectedPrompt)?(event2.preventDefault(),get$3(filteredPrompts)[get$3(selectedIndex)]&&handlePromptClick(get$3(filteredPrompts)[get$3(selectedIndex)]),!0):!1:!1}let filteredPrompts=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(sortedServers.map((server,index2)=>[server.id,index2])),sortedPrompts=[...get$3(prompts)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap.get(b.serverName)??Number.MAX_SAFE_INTEGER; -return orderA-orderB}),query=(searchQuery()||get$3(internalSearchQuery)).toLowerCase();return query?sortedPrompts.filter(prompt=>prompt.name.toLowerCase().includes(query)||prompt.title?.toLowerCase().includes(query)||prompt.description?.toLowerCase().includes(query)):sortedPrompts}),showSearchInput=user_derived(()=>get$3(prompts).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover($$anchor,{get class(){return className()},srLabel:"Open prompt picker",get onClose(){return $$props. -onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){isOpen($$value)},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent_1=$$anchor3=>{const prompt=user_derived(()=>get$3(selectedPrompt)),server=user_derived(()=>get$3(serverSettingsMap).get(get$3(prompt).serverName)),serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):get$3(prompt).serverName);var div=root_2$D(),node_1=child(div); -{const titleExtra=$$anchor4=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor5=>{Badge($$anchor5,{variant:"secondary",children:($$anchor6,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,`${get$3(prompt).arguments.length??""} arg${get$3(prompt).arguments.length>1?"s":""}`)),append($$anchor6,text2)},$$slots:{default:!0}})};if_block(node_2,$$render=>{get$3(prompt).arguments?.length&&$$render(consequent)})}append($$anchor4,fragment_2)}; -let $0=user_derived(()=>get$3(prompt).title||get$3(prompt).name);ChatFormPickerItemHeader(node_1,{get server(){return get$3(server)},get serverLabel(){return get$3(serverLabel)},get title(){return get$3($0)},get description(){return get$3(prompt).description},titleExtra,$$slots:{titleExtra:!0}})}var node_3=sibling(node_1,2);ChatFormPromptPickerArgumentForm(node_3,{get prompt(){return get$3(selectedPrompt)},get promptArgs(){return get$3(promptArgs)},get suggestions(){return suggestions},get loadingSuggestions(){ -return loadingSuggestions},get activeAutocomplete(){return get$3(activeAutocomplete)},get autocompleteIndex(){return get$3(autocompleteIndex)},get promptError(){return get$3(promptError)},onArgInput:handleArgInput,onArgKeydown:handleArgKeydown,onArgBlur:handleArgBlur,onArgFocus:handleArgFocus,onSelectSuggestion:selectSuggestion,onSubmit:handleArgumentSubmit,onCancel:handleCancelArgumentForm}),reset(div),append($$anchor3,div)},alternate=$$anchor3=>{ChatFormPickerList($$anchor3,{get items(){return get$3( -filteredPrompts)},get isLoading(){return get$3(isLoading2)},get selectedIndex(){return get$3(selectedIndex)},get showSearchInput(){return get$3(showSearchInput)},searchPlaceholder:"Search prompts...",emptyMessage:"No MCP prompts available",itemKey:prompt=>prompt.serverName+":"+prompt.name,get searchQuery(){return get$3(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,$$value,!0)},item:($$anchor4,prompt=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$3( -serverSettingsMap).get(prompt().serverName)),serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):prompt().serverName);ChatFormPickerListItem($$anchor4,{get dataIndex(){return index2()},get isSelected(){return isSelected()},onClick:()=>handlePromptClick(prompt()),children:($$anchor5,$$slotProps2)=>{{const titleExtra=$$anchor6=>{var fragment_8=comment$2(),node_4=first_child(fragment_8);{var consequent_2=$$anchor7=>{Badge($$anchor7,{variant:"secondary",children:($$anchor8,$$slotProps3)=>{ -next$1();var text_1=text$8();template_effect(()=>set_text(text_1,`${prompt().arguments.length??""} arg${prompt().arguments.length>1?"s":""}`)),append($$anchor8,text_1)},$$slots:{default:!0}})};if_block(node_4,$$render=>{prompt().arguments?.length&&$$render(consequent_2)})}append($$anchor6,fragment_8)};let $0=user_derived(()=>prompt().title||prompt().name);ChatFormPickerItemHeader($$anchor5,{get server(){return get$3(server)},get serverLabel(){return get$3(serverLabel)},get title(){return get$3($0)}, -get description(){return prompt().description},titleExtra,$$slots:{titleExtra:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor4=>{ChatFormPickerListItemSkeleton($$anchor4,{titleWidth:"w-32",showBadge:!0})},$$slots:{item:!0,skeleton:!0}})};if_block(node2,$$render=>{get$3(selectedPrompt)?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop($$exports)}var root_2$C=from_html('*'),root_3$p=from_html('...'),root_1$v=from_html(" ",1),root_5$m=from_html(''),root_4$i=from_html('
          '),root$Z=from_html('
          ');function ChatFormPromptPickerArgumentInput($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value", -3,""),suggestions=prop($$props,"suggestions",19,()=>[]),isLoadingSuggestions=prop($$props,"isLoadingSuggestions",3,!1),isAutocompleteActive=prop($$props,"isAutocompleteActive",3,!1),autocompleteIndex=prop($$props,"autocompleteIndex",3,0);var div=root$Z(),node2=child(div);Label(node2,{get for(){return`arg-${$$props.argument.name??""}`},class:"mb-1 text-muted-foreground",children:($$anchor2,$$slotProps)=>{var fragment=root_1$v(),span=first_child(fragment),text2=child(span),node_1=sibling(text2);{var consequent=$$anchor3=>{ -var span_1=root_2$C();append($$anchor3,span_1)};if_block(node_1,$$render=>{$$props.argument.required&&$$render(consequent)})}reset(span);var node_2=sibling(span,2);{var consequent_1=$$anchor3=>{var span_2=root_3$p();append($$anchor3,span_2)};if_block(node_2,$$render=>{isLoadingSuggestions()&&$$render(consequent_1)})}template_effect(()=>set_text(text2,`${$$props.argument.name??""} `)),append($$anchor2,fragment)},$$slots:{default:!0}});var node_3=sibling(node2,2);{let $0=user_derived(()=>$$props.argument. -description||$$props.argument.name);Input(node_3,{get id(){return`arg-${$$props.argument.name??""}`},type:"text",get value(){return value()},oninput:e=>$$props.onInput(e.currentTarget.value),get onkeydown(){return $$props.onKeydown},get onblur(){return $$props.onBlur},get onfocus(){return $$props.onFocus},get placeholder(){return get$3($0)},get required(){return $$props.argument.required},autocomplete:"off"})}var node_4=sibling(node_3,2);{var consequent_2=$$anchor2=>{var div_1=root_4$i();each(div_1, -22,suggestions,suggestion=>suggestion,($$anchor3,suggestion,i)=>{var button=root_5$m(),text_1=child(button,!0);reset(button),template_effect(()=>{set_class(button,1,`w-full px-3 py-1.5 text-left text-sm hover:bg-accent ${get$3(i)===autocompleteIndex()?"bg-accent":""}`),set_text(text_1,suggestion)}),delegated("mousedown",button,()=>$$props.onSelectSuggestion(suggestion)),append($$anchor3,button)}),reset(div_1),transition(3,div_1,()=>fly,()=>({y:-5,duration:100})),append($$anchor2,div_1)};if_block( -node_4,$$render=>{isAutocompleteActive()&&suggestions().length>0&&$$render(consequent_2)})}reset(div),append($$anchor,div),pop()}delegate(["mousedown"]);var root_2$B=from_html(''),root$Y=from_html('
          ');function ChatFormPromptPickerArgumentForm($$anchor,$$props){ -push$1($$props,!0);var form=root$Y(),node2=child(form);each(node2,17,()=>$$props.prompt.arguments??[],arg=>arg.name,($$anchor2,arg)=>{{let $0=user_derived(()=>$$props.promptArgs[get$3(arg).name]??""),$1=user_derived(()=>$$props.suggestions[get$3(arg).name]??[]),$2=user_derived(()=>$$props.loadingSuggestions[get$3(arg).name]??!1),$3=user_derived(()=>$$props.activeAutocomplete===get$3(arg).name),$4=user_derived(()=>$$props.activeAutocomplete===get$3(arg).name?$$props.autocompleteIndex:0);ChatFormPromptPickerArgumentInput( -$$anchor2,{get argument(){return get$3(arg)},get value(){return get$3($0)},get suggestions(){return get$3($1)},get isLoadingSuggestions(){return get$3($2)},get isAutocompleteActive(){return get$3($3)},get autocompleteIndex(){return get$3($4)},onInput:value=>$$props.onArgInput(get$3(arg).name,value),onKeydown:e=>$$props.onArgKeydown(e,get$3(arg).name),onBlur:()=>$$props.onArgBlur(get$3(arg).name),onFocus:()=>$$props.onArgFocus(get$3(arg).name),onSelectSuggestion:value=>$$props.onSelectSuggestion( -get$3(arg).name,value)})}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div=root_2$B(),span=sibling(child(div),2),text2=child(span,!0);reset(span),reset(div),template_effect(()=>set_text(text2,$$props.promptError)),append($$anchor2,div)};if_block(node_1,$$render=>{$$props.promptError&&$$render(consequent)})}var div_1=sibling(node_1,2),node_2=child(div_1);Button(node_2,{type:"button",size:"sm",get onclick(){return $$props.onCancel},variant:"secondary",children:($$anchor2,$$slotProps)=>{ -next$1();var text_1=text$8("Cancel");append($$anchor2,text_1)},$$slots:{default:!0}});var node_3=sibling(node_2,2);Button(node_3,{size:"sm",type:"submit",children:($$anchor2,$$slotProps)=>{next$1();var text_2=text$8("Use Prompt");append($$anchor2,text_2)},$$slots:{default:!0}}),reset(div_1),reset(form),event("submit",form,function(...$$args){$$props.onSubmit?.apply(this,$$args)}),append($$anchor,form),pop()}function Popover($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1), -restProps=rest_props($$props,["$$slots","$$events","$$legacy","open"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover$1,($$anchor2,PopoverPrimitive_Root)=>{PopoverPrimitive_Root($$anchor2,spread_props(()=>restProps,{get open(){return open2()},set open($$value){open2($$value)}}))}),append($$anchor,fragment),pop()}function Popover_portal($$anchor,$$props){let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);var fragment=comment$2(),node2=first_child( -fragment);component(node2,()=>Portal$2,($$anchor2,PopoverPrimitive_Portal)=>{PopoverPrimitive_Portal($$anchor2,spread_props(()=>restProps))}),append($$anchor,fragment)}function Popover_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),align=prop($$props,"align",3,"center"),collisionPadding=prop($$props,"collisionPadding",3,8),avoidCollisions=prop($$props,"avoidCollisions",3,!0),restProps=rest_props($$props,["$$slots","$$ev\ -ents","$$legacy","ref","class","sideOffset","side","align","collisionPadding","avoidCollisions","portalProps"]);Popover_portal($$anchor,spread_props(()=>$$props.portalProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 w-72 origin-(--bits-popover-content-transform-origin) rounded-md border bg-popover p-4 text-popover-foreground shadow-md outline-hidden data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-\ -in-from-end-2 data-[side=right]:slide-in-from-start-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95",$$props.class));component(node2,()=>Popover_content$1,($$anchor3,PopoverPrimitive_Content)=>{PopoverPrimitive_Content($$anchor3,spread_props({"data-slot":"popover-content",get sideOffset(){return sideOffset()},get side(){return $$props. -side},get align(){return align()},get collisionPadding(){return collisionPadding()},get avoidCollisions(){return avoidCollisions()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Popover_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(), -node2=first_child(fragment);{let $0=user_derived(()=>cn$1("",$$props.class));component(node2,()=>Popover_trigger$1,($$anchor2,PopoverPrimitive_Trigger)=>{PopoverPrimitive_Trigger($$anchor2,spread_props({"data-slot":"popover-trigger",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_2$A=from_html(' '),root_1$u=from_html(" ",1);function ChatFormPickerPopover($$anchor,$$props){ -push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",15,!1),srLabel=prop($$props,"srLabel",3,"Open picker");var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover,($$anchor2,Popover_Root)=>{Popover_Root($$anchor2,{onOpenChange:open2=>{open2||$$props.onClose?.()},get open(){return isOpen()},set open($$value){isOpen($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$u(),node_1=first_child(fragment_1);component(node_1,()=>Popover_trigger, -($$anchor4,Popover_Trigger)=>{Popover_Trigger($$anchor4,{class:"pointer-events-none absolute inset-0 opacity-0",children:($$anchor5,$$slotProps2)=>{var span=root_2$A(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,srLabel())),append($$anchor5,span)},$$slots:{default:!0}})});var node_2=sibling(node_1,2);component(node_2,()=>Popover_content,($$anchor4,Popover_Content)=>{Popover_Content($$anchor4,{side:"top",align:"start",sideOffset:12,get class(){return`w-[var(--bits-popover-\ -anchor-width)] max-w-none rounded-xl border-border/50 p-0 shadow-xl ${className()??""}`},get onkeydown(){return $$props.onKeydown},onOpenAutoFocus:e=>e.preventDefault(),children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$t=from_html(" ",1);function Scroll_area_scrollbar($$anchor,$$props){ -push$1($$props,!0);let ref2=prop($$props,"ref",15,null),orientation=prop($$props,"orientation",3,"vertical"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","orientation","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex touch-none p-px transition-colors select-none",orientation()==="vertical"&&"h-full w-2.5 border-l border-l-transparent",orientation()==="horizontal"&&"h-2.5 flex-col border-t border-t-transparent",$$props. -class));component(node2,()=>Scroll_area_scrollbar$1,($$anchor2,ScrollAreaPrimitive_Scrollbar)=>{ScrollAreaPrimitive_Scrollbar($$anchor2,spread_props({"data-slot":"scroll-area-scrollbar",get orientation(){return orientation()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$t(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);component( -node_2,()=>Scroll_area_thumb,($$anchor4,ScrollAreaPrimitive_Thumb)=>{ScrollAreaPrimitive_Thumb($$anchor4,{"data-slot":"scroll-area-thumb",class:"relative flex-1 rounded-full bg-border"})}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_1$s=from_html(" ",1);function Scroll_area($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),orientation=prop($$props,"orientation",3,"vertical"),scrollbarXClasses=prop($$props, -"scrollbarXClasses",3,""),scrollbarYClasses=prop($$props,"scrollbarYClasses",3,""),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","orientation","scrollbarXClasses","scrollbarYClasses","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("relative",$$props.class));component(node2,()=>Scroll_area$1,($$anchor2,ScrollAreaPrimitive_Root)=>{ScrollAreaPrimitive_Root($$anchor2,spread_props({"data-slot":"scroll-area",get class(){return get$3( -$0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$s(),node_1=first_child(fragment_1);component(node_1,()=>Scroll_area_viewport,($$anchor4,ScrollAreaPrimitive_Viewport)=>{ScrollAreaPrimitive_Viewport($$anchor4,{"data-slot":"scroll-area-viewport",class:"size-full rounded-[inherit] ring-ring/10 outline-ring/50 transition-[color,box-shadow] focus-visible:ring-4 focus-visible:outline-1 dark:ring-ring/20 dark:outline-\ -ring/40",children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.children??noop$3),append($$anchor5,fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent=$$anchor4=>{Scroll_area_scrollbar($$anchor4,{orientation:"vertical",get class(){return scrollbarYClasses()}})};if_block(node_3,$$render=>{(orientation()==="vertical"||orientation()==="both")&&$$render(consequent)})}var node_4=sibling(node_3,2);{var consequent_1=$$anchor4=>{ -Scroll_area_scrollbar($$anchor4,{orientation:"horizontal",get class(){return scrollbarXClasses()}})};if_block(node_4,$$render=>{(orientation()==="horizontal"||orientation()==="both")&&$$render(consequent_1)})}var node_5=sibling(node_4,2);component(node_5,()=>Scroll_area_corner,($$anchor4,ScrollAreaPrimitive_Corner)=>{ScrollAreaPrimitive_Corner($$anchor4,{})}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_2$z=from_html('
          '),root_5$l=from_html('
          '),root_1$r=from_html("
          ",1);function ChatFormPickerList($$anchor,$$props){push$1($$props,!0);let searchQuery=prop($$props,"searchQuery",15),searchPlaceholder=prop($$props,"searchPlaceholder",3,"Search..."),emptyMessage=prop($$props,"emptyMessage",3,"No items available"),listContainer=state$1(null);user_effect(()=>{if(get$3(listContainer)&&$$props. -selectedIndex>=0&&$$props.selectedIndex<$$props.items.length){const selectedElement=get$3(listContainer).querySelector(`[data-picker-index="${$$props.selectedIndex}"]`);selectedElement&&selectedElement.scrollIntoView({behavior:"smooth",block:"center",inline:"nearest"})}}),Scroll_area($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$r(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var div=root_2$z(),node_1=child(div);SearchInput(node_1,{get placeholder(){return searchPlaceholder()}, -get value(){return searchQuery()},set value($$value){searchQuery($$value)}}),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.showSearchInput&&$$render(consequent)})}var div_1=sibling(node2,2);let classes;var node_2=child(div_1);{var consequent_2=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent_1=$$anchor4=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);snippet(node_4,()=>$$props.skeleton),append($$anchor4,fragment_3)};if_block( -node_3,$$render=>{$$props.skeleton&&$$render(consequent_1)})}append($$anchor3,fragment_2)},consequent_3=$$anchor3=>{var div_2=root_5$l(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor3,div_2)},alternate=$$anchor3=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);each(node_5,19,()=>$$props.items,(itemData,index2)=>$$props.itemKey(itemData,index2),($$anchor4,itemData,index2)=>{var fragment_5=comment$2(),node_6=first_child(fragment_5); -snippet(node_6,()=>$$props.item,()=>get$3(itemData),()=>get$3(index2),()=>get$3(index2)===$$props.selectedIndex),append($$anchor4,fragment_5)}),append($$anchor3,fragment_4)};if_block(node_2,$$render=>{$$props.isLoading?$$render(consequent_2):$$props.items.length===0?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_1),bind_this(div_1,$$value=>set$1(listContainer,$$value),()=>get$3(listContainer));var node_7=sibling(div_1,2);{var consequent_4=$$anchor3=>{var fragment_6=comment$2(),node_8=first_child( -fragment_6);snippet(node_8,()=>$$props.footer),append($$anchor3,fragment_6)};if_block(node_7,$$render=>{$$props.footer&&$$render(consequent_4)})}template_effect(()=>classes=set_class(div_1,1,`${CHAT_FORM_POPOVER_MAX_HEIGHT} p-2`,null,classes,{"pt-13":$$props.showSearchInput})),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root$X=from_html('');function ChatFormPickerListItem($$anchor,$$props){let isSelected=prop($$props,"isSelected",3,!1);var button=root$X(), -node2=child(button);snippet(node2,()=>$$props.children),reset(button),template_effect(()=>{set_attribute(button,"data-picker-index",$$props.dataIndex),set_class(button,1,`flex w-full cursor-pointer items-start gap-3 rounded-lg px-3 py-2 text-left hover:bg-accent/50 ${isSelected()?"bg-accent/50":""}`)}),delegated("click",button,function(...$$args){$$props.onClick?.apply(this,$$args)}),append($$anchor,button)}delegate(["click"]);var root_1$q=from_html(''),root_3$o=from_html('

          '),root$W=from_html('
          ');function ChatFormPickerItemHeader($$anchor,$$props){push$1($$props,!0);let faviconUrl=user_derived(()=>$$props.server?mcpStore.getServerFavicon($$props.server.id): -null);var div=root$W(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var img=root_1$q();template_effect(()=>set_attribute(img,"src",get$3(faviconUrl))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor2,img)};if_block(node2,$$render=>{get$3(faviconUrl)&&$$render(consequent)})}var span=sibling(node2,2),text2=child(span,!0);reset(span),reset(div_1);var div_2=sibling(div_1,2),span_1=child(div_2),text_1=child(span_1,!0);reset(span_1);var node_1=sibling( -span_1,2);{var consequent_1=$$anchor2=>{var fragment=comment$2(),node_2=first_child(fragment);snippet(node_2,()=>$$props.titleExtra),append($$anchor2,fragment)};if_block(node_1,$$render=>{$$props.titleExtra&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{var p2=root_3$o(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,$$props.description)),append($$anchor2,p2)};if_block(node_3,$$render=>{$$props.description&&$$render(consequent_2)})} -var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_5=first_child(fragment_1);snippet(node_5,()=>$$props.subtitle),append($$anchor2,fragment_1)};if_block(node_4,$$render=>{$$props.subtitle&&$$render(consequent_3)})}reset(div),template_effect(()=>{set_text(text2,$$props.serverLabel),set_text(text_1,$$props.title)}),append($$anchor,div),pop()}var root_1$p=from_html('
          '),root$V=from_html('
          ');function ChatFormPickerListItemSkeleton($$anchor,$$props){let titleWidth=prop($$props,"titl\ -eWidth",3,"w-48"),showBadge=prop($$props,"showBadge",3,!1);var div=root$V(),div_1=child(div),div_2=sibling(child(div_1),2),div_3=child(div_2),node2=sibling(div_3,2);{var consequent=$$anchor2=>{var div_4=root_1$p();append($$anchor2,div_4)};if_block(node2,$$render=>{showBadge()&&$$render(consequent)})}reset(div_2),next$1(2),reset(div_1),reset(div),template_effect(()=>set_class(div_3,1,`h-4 ${titleWidth()??""} animate-pulse rounded bg-muted`)),append($$anchor,div)}var root_5$k=from_html('attached'),root_6$e=from_html('

          '),root_10$8=from_html(" Browse all",1);function ChatFormResourcePicker($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),resources=state$1(proxy([])),isLoading2=state$1(!1),selectedIndex=state$1( -0),internalSearchQuery=state$1(""),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()&&(loadResources(),set$1(selectedIndex,0))}),user_effect(()=>{get$3(filteredResources).length>0&&get$3(selectedIndex)>=get$3(filteredResources).length&&set$1(selectedIndex,0)});async function loadResources(){set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides(); -if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(resources,[],!0);return}await mcpStore.fetchAllResources(),set$1(resources,mcpResourceStore.getAllResourceInfos(),!0)}catch(error2){console.error("[ChatFormResourcePicker] Failed to load resources:",error2),set$1(resources,[],!0)}finally{set$1(isLoading2,!1)}}function handleResourceClick(resource){mcpStore.attachResource(resource.uri),$$props.onResourceSelect?.(resource),$$props.onClose?.()}function isResourceAttached(uri2){return mcpResourceStore. -isAttached(uri2)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2.preventDefault(),$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),get$3(filteredResources).length>0&&set$1(selectedIndex,(get$3(selectedIndex)+1)%get$3(filteredResources).length),!0):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),get$3(filteredResources).length>0&&set$1(selectedIndex,get$3(selectedIndex)===0?get$3(filteredResources).length-1:get$3( -selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER?(event2.preventDefault(),get$3(filteredResources)[get$3(selectedIndex)]&&handleResourceClick(get$3(filteredResources)[get$3(selectedIndex)]),!0):!1:!1}let filteredResources=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(sortedServers.map((server,index2)=>[server.id,index2])),sortedResources=[...get$3(resources)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap. -get(b.serverName)??Number.MAX_SAFE_INTEGER;return orderA-orderB}),query=(searchQuery()||get$3(internalSearchQuery)).toLowerCase();return query?sortedResources.filter(resource=>resource.name.toLowerCase().includes(query)||resource.title?.toLowerCase().includes(query)||resource.description?.toLowerCase().includes(query)||resource.uri.toLowerCase().includes(query)):sortedResources}),showSearchInput=user_derived(()=>get$3(resources).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover( -$$anchor,{get class(){return className()},srLabel:"Open resource picker",get onClose(){return $$props.onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){isOpen($$value)},children:($$anchor2,$$slotProps)=>{ChatFormPickerList($$anchor2,{get items(){return get$3(filteredResources)},get isLoading(){return get$3(isLoading2)},get selectedIndex(){return get$3(selectedIndex)},get showSearchInput(){return get$3(showSearchInput)},searchPlaceholder:"Search resources...",emptyMessage:"\ -No MCP resources available",itemKey:resource=>resource.serverName+":"+resource.uri,get searchQuery(){return get$3(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,$$value,!0)},item:($$anchor3,resource=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$3(serverSettingsMap).get(resource().serverName)),serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):resource().serverName);ChatFormPickerListItem($$anchor3,{get dataIndex(){ -return index2()},get isSelected(){return isSelected()},onClick:()=>handleResourceClick(resource()),children:($$anchor4,$$slotProps2)=>{{const titleExtra=$$anchor5=>{var fragment_4=comment$2(),node2=first_child(fragment_4);{var consequent=$$anchor6=>{var span=root_5$k();append($$anchor6,span)},d2=user_derived(()=>isResourceAttached(resource().uri));if_block(node2,$$render=>{get$3(d2)&&$$render(consequent)})}append($$anchor5,fragment_4)},subtitle=$$anchor5=>{var p2=root_6$e(),text2=child(p2,!0);reset( -p2),template_effect(()=>set_text(text2,resource().uri)),append($$anchor5,p2)};let $0=user_derived(()=>resource().title||resource().name);ChatFormPickerItemHeader($$anchor4,{get server(){return get$3(server)},get serverLabel(){return get$3(serverLabel)},get title(){return get$3($0)},get description(){return resource().description},titleExtra,subtitle,$$slots:{titleExtra:!0,subtitle:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor3=>{ChatFormPickerListItemSkeleton($$anchor3,{})},footer:$$anchor3=>{ -var fragment_6=comment$2(),node_1=first_child(fragment_6);{var consequent_1=$$anchor4=>{Button($$anchor4,{class:"fixed right-3 bottom-3",type:"button",get onclick(){return $$props.onBrowse},variant:"secondary",size:"sm",children:($$anchor5,$$slotProps2)=>{var fragment_8=root_10$8(),node_2=first_child(fragment_8);Folder_open(node_2,{class:"h-3 w-3"}),next$1(),append($$anchor5,fragment_8)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.onBrowse&&get$3(resources).length>3&&$$render(consequent_1)})} -append($$anchor3,fragment_6)},$$slots:{item:!0,skeleton:!0,footer:!0}})},$$slots:{default:!0}}),pop($$exports)}const MESSAGE_EDIT_KEY=Symbol.for(CONTEXT_KEY_MESSAGE_EDIT);function setMessageEditContext(ctx){return setContext(MESSAGE_EDIT_KEY,ctx)}function getMessageEditContext(){return getContext(MESSAGE_EDIT_KEY)}const CHAT_ACTIONS_KEY=Symbol.for(CONTEXT_KEY_CHAT_ACTIONS);function setChatActionsContext(ctx){return setContext(CHAT_ACTIONS_KEY,ctx)}function getChatActionsContext(){return getContext( -CHAT_ACTIONS_KEY)}const CHAT_SETTINGS_CONFIG_KEY=Symbol.for(CONTEXT_KEY_CHAT_SETTINGS_CONFIG);function setChatSettingsConfigContext(ctx){return setContext(CHAT_SETTINGS_CONFIG_KEY,ctx)}const PROCESSING_INFO_KEY=Symbol.for(CONTEXT_KEY_PROCESSING_INFO);function setProcessingInfoContext(ctx){return setContext(PROCESSING_INFO_KEY,ctx)}function getProcessingInfoContext(){return getContext(PROCESSING_INFO_KEY)}var root_1$o=from_html('
          '),root_2$y=from_html("
          "),root_3$n=from_html(" Cancel",1),root$U=from_html('
          ',1);function ChatMessageEditForm($$anchor,$$props){push$1($$props,!0);const editCtx=getMessageEditContext();let inputAreaRef=state$1(void 0),saveWithoutRegenerate=state$1(!1), -showDiscardDialog=state$1(!1),hasUnsavedChanges=user_derived(()=>!!(editCtx.editedContent!==editCtx.originalContent||editCtx.editedUploadedFiles.length>0||editCtx.editedExtras.length!==editCtx.originalExtras.length||editCtx.editedExtras.some((extra,i)=>extra!==editCtx.originalExtras[i]))),hasAttachments=user_derived(()=>editCtx.editedExtras&&editCtx.editedExtras.length>0||editCtx.editedUploadedFiles&&editCtx.editedUploadedFiles.length>0),canSubmit=user_derived(()=>editCtx.editedContent.trim().length> -0||get$3(hasAttachments));function handleGlobalKeydown(event2){event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),attemptCancel())}function attemptCancel(){get$3(hasUnsavedChanges)?set$1(showDiscardDialog,!0):editCtx.cancel()}function handleSubmit(){get$3(canSubmit)&&(get$3(saveWithoutRegenerate)&&editCtx.showSaveOnlyOption?editCtx.saveOnly():editCtx.save(),set$1(saveWithoutRegenerate,!1))}function handleAttachmentRemove(index2){const newExtras=[...editCtx.editedExtras];newExtras.splice(index2, -1),editCtx.setExtras(newExtras)}function handleUploadedFileRemove(fileId){const newFiles=editCtx.editedUploadedFiles.filter(f=>f.id!==fileId);editCtx.setUploadedFiles(newFiles)}async function handleFilesAdd(files){const processed=await processFilesToChatUploaded(files);editCtx.setUploadedFiles([...editCtx.editedUploadedFiles,...processed])}function handleUploadedFilesChange(files){editCtx.setUploadedFiles(files)}user_effect(()=>(chatStore.setEditModeActive(handleFilesAdd),()=>{chatStore.clearEditMode()})); -var fragment=root$U();event("keydown",$window,handleGlobalKeydown);var div=first_child(fragment),node2=child(div);bind_this(ChatForm(node2,{get value(){return editCtx.editedContent},get attachments(){return editCtx.editedExtras},get uploadedFiles(){return editCtx.editedUploadedFiles},placeholder:"Edit your message...",showMcpPromptButton:!0,get onValueChange(){return editCtx.setContent},onAttachmentRemove:handleAttachmentRemove,onUploadedFileRemove:handleUploadedFileRemove,onUploadedFilesChange:handleUploadedFilesChange, -onFilesAdd:handleFilesAdd,onSubmit:handleSubmit}),$$value=>set$1(inputAreaRef,$$value,!0),()=>get$3(inputAreaRef)),reset(div);var div_1=sibling(div,2),node_1=child(div_1);{var consequent=$$anchor2=>{var div_2=root_1$o(),node_2=child(div_2);Switch(node_2,{id:"save-only-switch",class:"scale-75",get checked(){return get$3(saveWithoutRegenerate)},set checked($$value){set$1(saveWithoutRegenerate,$$value,!0)}}),next$1(2),reset(div_2),append($$anchor2,div_2)},alternate=$$anchor2=>{var div_3=root_2$y(); -append($$anchor2,div_3)};if_block(node_1,$$render=>{editCtx.showSaveOnlyOption?$$render(consequent):$$render(alternate,-1)})}var node_3=sibling(node_1,2);Button(node_3,{class:"h-7 px-3 text-xs",onclick:attemptCancel,size:"sm",variant:"ghost",children:($$anchor2,$$slotProps)=>{var fragment_1=root_3$n(),node_4=first_child(fragment_1);X(node_4,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div_1);var node_5=sibling(div_1,2);DialogConfirmation(node_5,{title:"\ -Discard changes?",description:"You have unsaved changes. Are you sure you want to discard them?",confirmText:"Discard",cancelText:"Keep editing",variant:"destructive",get icon(){return Triangle_alert},get onConfirm(){return editCtx.cancel},onCancel:()=>set$1(showDiscardDialog,!1),get open(){return get$3(showDiscardDialog)},set open($$value){set$1(showDiscardDialog,$$value,!0)}}),append($$anchor,fragment),pop()}function fadeInView(node2,options={}){const{duration:duration2=300,y=0,skipIfVisible=!1}=options; -if(skipIfVisible){const rect=node2.getBoundingClientRect();if(rect.top0&&rect.left0)return}node2.style.opacity="0",node2.style.transform=`translateY(${y}px)`,node2.style.transition=`opacity ${duration2}ms ease-out, transform ${duration2}ms ease-out`,user_effect(()=>{const observer=new IntersectionObserver(entries=>{for(const entry of entries)entry.isIntersecting&&(requestAnimationFrame(()=>{node2.style.opacity="1",node2.style.transform= -"translateY(0)"}),observer.disconnect())},{threshold:.05});return observer.observe(node2),()=>{observer.disconnect()}})}function useMessageEditContext(options){let isEditing2=state$1(!1),editedContent=state$1(""),editedExtras=state$1(proxy([])),editedUploadedFiles=state$1(proxy([]));function handleEdit(){set$1(editedContent,options.getContent(),!0),set$1(editedExtras,[...options.getExtras()],!0),set$1(editedUploadedFiles,[],!0),set$1(isEditing2,!0)}async function handleSaveEdit(){const trimmed=get$3( -editedContent).trim();if(!trimmed&&get$3(editedExtras).length===0&&get$3(editedUploadedFiles).length===0)return;let finalExtras=snapshot(get$3(editedExtras));if(get$3(editedUploadedFiles).length>0){const plainFiles=snapshot(get$3(editedUploadedFiles)),newExtras=(await parseFilesToMessageExtras(plainFiles))?.extras||[];finalExtras=[...finalExtras,...newExtras]}options.onSave(trimmed,finalExtras.length>0?finalExtras:void 0),set$1(isEditing2,!1)}function handleCancelEdit(){set$1(isEditing2,!1)}return setMessageEditContext( -{get isEditing(){return get$3(isEditing2)},get editedContent(){return get$3(editedContent)},get editedExtras(){return get$3(editedExtras)},get editedUploadedFiles(){return get$3(editedUploadedFiles)},get originalContent(){return options.getContent()},get originalExtras(){return options.getExtras()},get showSaveOnlyOption(){return options.showSaveOnlyOption??!1},setContent:c2=>{set$1(editedContent,c2,!0)},setExtras:e=>{set$1(editedExtras,e,!0)},setUploadedFiles:f=>{set$1(editedUploadedFiles,f,!0)}, -save:handleSaveEdit,saveOnly:handleSaveEdit,cancel:handleCancelEdit,startEdit:handleEdit}),{get isEditing(){return get$3(isEditing2)},handleEdit,handleSaveEdit,handleCancelEdit}}var root_1$n=from_html('
          '),root_4$h=from_html("
          "),root_5$j=from_html(' '),root$T=from_html(" ",1);function ChatMessageUserBubble($$anchor,$$props){push$1($$props,!0);let attachments=prop($$props,"attachments",19,()=>[]), -renderMarkdown=prop($$props,"renderMarkdown",3,!1),textColorClass=prop($$props,"textColorClass",3,"text-foreground"),cardBgClass=prop($$props,"cardBgClass",3,"dark:bg-primary/15"),maxHeightStyle=prop($$props,"maxHeightStyle",3,"max-height: var(--max-message-height);"),isMultiline=state$1(!1),messageElement=state$1(void 0);const currentConfig=config$1();user_effect(()=>{if(!get$3(messageElement)||!$$props.content.trim())return;if($$props.content.includes(` -`)){set$1(isMultiline,!0);return}const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5)}});return resizeObserver.observe(get$3(messageElement)),()=>{resizeObserver.disconnect()}});var fragment=root$T(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$n(),node_1=child(div);ChatAttachmentsList(node_1,{get attachments(){return attachments()},readonly:!0,imageHeight:"h-40"}),reset( -div),append($$anchor2,div)};if_block(node2,$$render=>{attachments()&&attachments().length>0&&$$render(consequent)})}var node_2=sibling(node2,2);{var consequent_2=$$anchor2=>{{let $0=user_derived(()=>get$3(isMultiline)?"":void 0);Card($$anchor2,{get class(){return`max-w-[80%] overflow-y-auto rounded-[1.125rem] border-none bg-primary/5 px-3.75 py-1.5 ${textColorClass()??""} backdrop-blur-md data-[multiline]:py-2.5 ${cardBgClass()??""}`},get"data-multiline"(){return get$3($0)},get style(){return`${maxHeightStyle()?? -""} overflow-wrap: anywhere; word-break: break-word;`},children:($$anchor3,$$slotProps)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent_1=$$anchor4=>{var div_1=root_4$h(),node_4=child(div_1);MarkdownContent(node_4,{class:"markdown-user-content -my-4",get content(){return $$props.content}}),reset(div_1),bind_this(div_1,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),append($$anchor4,div_1)},alternate=$$anchor4=>{var span=root_5$j(),text2=child(span,!0); -reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>set_text(text2,$$props.content)),append($$anchor4,span)};if_block(node_3,$$render=>{renderMarkdown()&¤tConfig.renderUserContentAsMarkdown?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{default:!0}})}},d2=user_derived(()=>$$props.content.trim());if_block(node_2,$$render=>{get$3(d2)&&$$render(consequent_2)})}append($$anchor,fragment),pop()}var root_2$x=from_html( -'
          ',1),root$S=from_html('
          ');function ChatMessageUserPending($$anchor,$$props){push$1($$props,!0);let className=prop( -$$props,"class",3,""),extras=prop($$props,"extras",19,()=>[]);const processingInfoCtx=getProcessingInfoContext();let showProcessingInfo=user_derived(()=>processingInfoCtx.showProcessingInfo);const editCtx=useMessageEditContext({getContent:()=>$$props.content,getExtras:()=>extras(),onSave:(content2,extras2)=>$$props.onEdit(content2,extras2)});var div=root$S(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$x(),node_1=first_child( -fragment_1);ChatMessageUserBubble(node_1,{get content(){return $$props.content},get attachments(){return extras()},textColorClass:"text-muted-foreground",cardBgClass:"dark:bg-primary/8",maxHeightStyle:"overflow-wrap: anywhere; word-break: break-word;"});var div_1=sibling(node_1,2),div_2=child(div_1),div_3=child(div_2),div_4=child(div_3),node_2=child(div_4);ActionIcon(node_2,{get icon(){return Square_pen},tooltip:"Edit",get onclick(){return editCtx.handleEdit}});var node_3=sibling(node_2,2);ActionIcon( -node_3,{get icon(){return Trash_2},tooltip:"Delete",get onclick(){return $$props.onDelete}});var node_4=sibling(node_3,2);ActionIcon(node_4,{get icon(){return Arrow_up},tooltip:"Send immediately",get onclick(){return $$props.onSendImmediately}}),reset(div_4),reset(div_3),reset(div_2),reset(div_1),append($$anchor2,fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})}reset(div),action(div,$$node=>fadeInView?.($$node)),template_effect(()=>set_class( -div,1,`group flex flex-col items-end gap-3 transition-opacity hover:opacity-80 md:gap-2 ${className()??""} sticky ${get$3(showProcessingInfo)?"bottom-44":"bottom-32"}`)),append($$anchor,div),pop()}var root$R=from_html(" ",1);function ChatMessages($$anchor,$$props){push$1($$props,!0);let messages=prop($$props,"messages",19,()=>[]),allConversationMessages=state$1(proxy([]));const currentConfig=config$1();setChatActionsContext({copy:async message=>{const asPlainText=!!currentConfig.copyTextAttachmentsAsPlainText, -clipboardContent=formatMessageForClipboard(message.content,message.extra,asPlainText);await copyToClipboard(clipboardContent,"Message copied to clipboard")},delete:async message=>{await chatStore.deleteMessage(message.id),refreshAllMessages()},navigateToSibling:async siblingId=>{await conversationsStore.navigateToSibling(siblingId)},editWithBranching:async(message,newContent,newExtras)=>{$$props.onUserAction?.(),await chatStore.editMessageWithBranching(message.id,newContent,newExtras),refreshAllMessages()}, -editWithReplacement:async(message,newContent,shouldBranch)=>{$$props.onUserAction?.(),await chatStore.editAssistantMessage(message.id,newContent,shouldBranch),refreshAllMessages()},editUserMessagePreserveResponses:async(message,newContent,newExtras)=>{$$props.onUserAction?.(),await chatStore.editUserMessagePreserveResponses(message.id,newContent,newExtras),refreshAllMessages()},regenerateWithBranching:async(message,modelOverride)=>{$$props.onUserAction?.(),await chatStore.regenerateMessageWithBranching( -message.id,modelOverride),refreshAllMessages()},continueAssistantMessage:async message=>{$$props.onUserAction?.(),await chatStore.continueAssistantMessage(message.id),refreshAllMessages()},forkConversation:async(message,options)=>{await conversationsStore.forkConversation(message.id,options)}});function refreshAllMessages(){const conversation=activeConversation();conversation?conversationsStore.getConversationMessages(conversation.id).then(messages2=>{set$1(allConversationMessages,messages2,!0)}): -set$1(allConversationMessages,[],!0)}user_effect(()=>{activeConversation()&&refreshAllMessages()});let displayMessages=user_derived(()=>{if(!messages().length)return[];const filteredMessages=currentConfig.showSystemMessage?messages():messages().filter(msg=>msg.type!==MessageRole.SYSTEM),result=[];for(let i=0;i=0;i--)if(result[i].message.role===MessageRole.ASSISTANT){result[i].isLastAssistantMessage=!0;break}return result});var fragment=root$R(),node2=first_child(fragment);each(node2,17,()=>get$3(displayMessages),({message,toolMessages,isLastAssistantMessage,siblingInfo})=>message.id,($$anchor2,$$item)=>{let message=()=>get$3($$item).message,toolMessages=()=>get$3( -$$item).toolMessages,isLastAssistantMessage=()=>get$3($$item).isLastAssistantMessage,siblingInfo=()=>get$3($$item).siblingInfo;ChatMessage($$anchor2,{class:"mx-auto mt-12 w-full max-w-[48rem]",get message(){return message()},get toolMessages(){return toolMessages()},get isLastAssistantMessage(){return isLastAssistantMessage()},get siblingInfo(){return siblingInfo()}})});var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{const convId=user_derived(()=>activeConversation().id),pendingContent=user_derived( -()=>agenticPendingSteeringMessageContent(get$3(convId)));var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor3=>{{let $0=user_derived(()=>agenticPendingSteeringMessageExtras(get$3(convId)));ChatMessageUserPending($$anchor3,{class:"mx-auto mt-12 w-full max-w-[48rem]",get content(){return get$3(pendingContent)},get extras(){return get$3($0)},onSendImmediately:()=>chatStore.abortCurrentFlow(get$3(convId)),onEdit:(newContent,extras)=>agenticInjectSteeringMessage(get$3(convId), -newContent,extras),onDelete:()=>agenticClearSteeringMessage(get$3(convId))})}};if_block(node_2,$$render=>{get$3(pendingContent)&&$$render(consequent)})}append($$anchor2,fragment_2)},d2=user_derived(()=>activeConversation()&&agenticPendingSteeringMessageContent(activeConversation().id)),consequent_3=$$anchor2=>{const convId=user_derived(()=>activeConversation().id),pendingContent=user_derived(()=>chatPendingMessageContent(get$3(convId)));var fragment_4=comment$2(),node_3=first_child(fragment_4);{ -var consequent_2=$$anchor3=>{{let $0=user_derived(()=>chatPendingMessageExtras(get$3(convId)));ChatMessageUserPending($$anchor3,{class:"mx-auto mt-12 w-full max-w-[48rem]",get content(){return get$3(pendingContent)},get extras(){return get$3($0)},onSendImmediately:()=>chatStore.abortCurrentFlow(get$3(convId)),onEdit:(newContent,extras)=>chatInjectPendingMessage(get$3(convId),newContent,extras),onDelete:()=>chatClearPendingMessage(get$3(convId))})}};if_block(node_3,$$render=>{get$3(pendingContent)&& -$$render(consequent_2)})}append($$anchor2,fragment_4)},d_12=user_derived(()=>activeConversation()&&chatPendingMessageContent(activeConversation().id));if_block(node_1,$$render=>{get$3(d2)?$$render(consequent_1):get$3(d_12)&&$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root$Q=from_html("
          ");function ChatMessage($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),toolMessages=prop($$props,"toolMessages",19,()=>[]),isLastAssistantMessage=prop( -$$props,"isLastAssistantMessage",3,!1),siblingInfo=prop($$props,"siblingInfo",3,null);const chatActions=getChatActionsContext();let deletionInfo=state$1(null),editedContent=user_derived(()=>$$props.message.content),editedExtras=user_derived(()=>$$props.message.extra?[...$$props.message.extra]:[]),editedUploadedFiles=state$1(proxy([])),isEditing2=state$1(!1),showDeleteDialog=state$1(!1),shouldBranchAfterEdit=state$1(!1),textareaElement=state$1(void 0),showSaveOnlyOption=user_derived(()=>$$props.message. -role===MessageRole.USER);setMessageEditContext({get isEditing(){return get$3(isEditing2)},get editedContent(){return get$3(editedContent)},get editedExtras(){return get$3(editedExtras)},get editedUploadedFiles(){return get$3(editedUploadedFiles)},get originalContent(){return $$props.message.content},get originalExtras(){return $$props.message.extra||[]},get showSaveOnlyOption(){return get$3(showSaveOnlyOption)},setContent:content2=>{set$1(editedContent,content2)},setExtras:extras=>{set$1(editedExtras, -extras)},setUploadedFiles:files=>{set$1(editedUploadedFiles,files,!0)},save:handleSaveEdit,saveOnly:handleSaveEditOnly,cancel:handleCancelEdit,startEdit:handleEdit});let mcpPromptExtra=user_derived(()=>{if($$props.message.role!==MessageRole.USER||$$props.message.content.trim()||!$$props.message.extra||$$props.message.extra.length!==1)return null;const extra=$$props.message.extra[0];return extra.type===AttachmentType.MCP_PROMPT?extra:null});user_effect(()=>{const pendingId=pendingEditMessageId(); -pendingId&&pendingId===$$props.message.id&&!get$3(isEditing2)&&(handleEdit(),chatStore.clearPendingEditMessageId())});async function handleCancelEdit(){if(set$1(isEditing2,!1),$$props.message.role===MessageRole.SYSTEM){await chatStore.removeSystemPromptPlaceholder($$props.message.id)&&goto("#/");return}set$1(editedContent,$$props.message.content),set$1(editedExtras,$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0)}function handleCopy(){chatActions.copy($$props. -message)}async function handleConfirmDelete(){$$props.message.role===MessageRole.SYSTEM?await chatStore.removeSystemPromptPlaceholder($$props.message.id)&&goto("#/"):chatActions.delete($$props.message),set$1(showDeleteDialog,!1)}async function handleDelete2(){set$1(deletionInfo,await chatStore.getDeletionInfo($$props.message.id),!0),set$1(showDeleteDialog,!0)}function handleEdit(){set$1(isEditing2,!0),set$1(editedContent,$$props.message.role===MessageRole.SYSTEM&&$$props.message.content===SYSTEM_MESSAGE_PLACEHOLDER? -"":$$props.message.content),get$3(textareaElement)?.focus(),set$1(editedExtras,$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0),setTimeout(()=>{get$3(textareaElement)&&(get$3(textareaElement).focus(),get$3(textareaElement).setSelectionRange(get$3(textareaElement).value.length,get$3(textareaElement).value.length))},0)}function handleRegenerate(modelOverride){chatActions.regenerateWithBranching($$props.message,modelOverride)}function handleContinue(){chatActions. -continueAssistantMessage($$props.message)}function handleForkConversation(options){chatActions.forkConversation($$props.message,options)}function handleNavigateToSibling(siblingId){chatActions.navigateToSibling(siblingId)}async function handleSaveEdit(){if($$props.message.role===MessageRole.SYSTEM){const newContent=get$3(editedContent).trim();if(!newContent){const conversationDeleted=await chatStore.removeSystemPromptPlaceholder($$props.message.id);set$1(isEditing2,!1),conversationDeleted&&goto( -"#/");return}await DatabaseService.updateMessage($$props.message.id,{content:newContent});const index2=conversationsStore.findMessageIndex($$props.message.id);index2!==-1&&conversationsStore.updateMessageAtIndex(index2,{content:newContent})}else if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.editWithBranching($$props.message,get$3(editedContent).trim(),finalExtras)}else chatActions.editWithReplacement($$props.message,get$3(editedContent),get$3(shouldBranchAfterEdit)); -set$1(isEditing2,!1),set$1(shouldBranchAfterEdit,!1),set$1(editedUploadedFiles,[],!0)}async function handleSaveEditOnly(){if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.editUserMessagePreserveResponses($$props.message,get$3(editedContent).trim(),finalExtras)}set$1(isEditing2,!1),set$1(editedUploadedFiles,[],!0)}async function getMergedExtras(){if(get$3(editedUploadedFiles).length===0)return get$3(editedExtras);const plainFiles=snapshot(get$3(editedUploadedFiles)), -newExtras=(await parseFilesToMessageExtras(plainFiles))?.extras||[];return[...get$3(editedExtras),...newExtras]}function handleShowDeleteDialogChange(show){set$1(showDeleteDialog,show,!0)}var div=root$Q(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageSystem($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get message(){return $$props.message},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling, -onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$3(textareaElement)},set textareaElement($$value){set$1(textareaElement,$$value,!0)}})},consequent_1=$$anchor2=>{ChatMessageMcpPrompt($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get message(){return $$props.message},get mcpPrompt(){return get$3(mcpPromptExtra)},onConfirmDelete:handleConfirmDelete, -onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},consequent_2=$$anchor2=>{ChatMessageUser($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get message(){return $$props.message},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2, -onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},alternate=$$anchor2=>{ChatMessageAssistant($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get isLastAssistantMessage(){return isLastAssistantMessage()},get message(){return $$props.message},get toolMessages(){ -return toolMessages()},get messageContent(){return $$props.message.content},onConfirmDelete:handleConfirmDelete,onContinue:handleContinue,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,onRegenerate:handleRegenerate,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$3(textareaElement)}, -set textareaElement($$value){set$1(textareaElement,$$value,!0)}})};if_block(node2,$$render=>{$$props.message.role===MessageRole.SYSTEM?$$render(consequent):get$3(mcpPromptExtra)?$$render(consequent_1,1):$$props.message.role===MessageRole.USER?$$render(consequent_2,2):$$render(alternate,-1)})}reset(div),action(div,$$node=>fadeInView?.($$node)),append($$anchor,div),pop()}var root_2$w=from_html('
          '),root_7$f=from_html('
          Receiving arguments...
          '),root_8$e=from_html('
          Response was truncated
          '),root_4$g=from_html('
          Arguments:
          '),root_11$8=from_html('
          Arguments:
          '),root_13$6=from_html( -'
          Waiting for result...
          '),root_16$2=from_html(''),root_15$5=from_html('
          ',1),root_14$4=from_html('
          '),root_17$5=from_html('
          No\ - output
          '),root_10$7=from_html('
          Result:
          ',1),root_19$5=from_html('
          '),root_21$2=from_html('
          '),root_25$2=from_html('
          '),root_23$1=from_html( -'
          '),root$P=from_html('
          ');function ChatMessageAgenticContent($$anchor,$$props){push$1($$props,!0);const renderSection=($$anchor2,section2=noop$3,index2=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$w(),node_1=child(div);{let $0=user_derived( -()=>$$props.message?.extra);MarkdownContent(node_1,{get content(){return section2().content},get attachments(){return get$3($0)}})}reset(div),append($$anchor3,div)},consequent_4=$$anchor3=>{const streamingIcon=user_derived(()=>(isStreaming(),Loader_circle)),streamingIconClass=user_derived(()=>isStreaming()?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived(()=>isExpanded(index2(),section2())),$1=user_derived(()=>section2().toolName||"Tool call"),$2=user_derived(()=>isStreaming()?"":"incomple\ -te");CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return get$3(streamingIcon)},get iconClass(){return get$3(streamingIconClass)},get title(){return get$3($1)},get subtitle(){return get$3($2)},get isStreaming(){return isStreaming()},onToggle:()=>toggleExpanded(index2(),section2()),children:($$anchor4,$$slotProps)=>{var div_1=root_4$g(),div_2=child(div_1),node_2=sibling(child(div_2),2);{var consequent_1=$$anchor5=>{Loader_circle($$anchor5,{class:"h-3 w-3 \ -animate-spin"})};if_block(node_2,$$render=>{isStreaming()&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor5=>{{let $02=user_derived(()=>formatJsonPretty(section2().toolArgs));SyntaxHighlightedCode($$anchor5,{get code(){return get$3($02)},get language(){return FileTypeText.JSON},maxHeight:"20rem",class:"text-xs"})}},consequent_3=$$anchor5=>{var div_3=root_7$f();append($$anchor5,div_3)},alternate=$$anchor5=>{var div_4=root_8$e();append($$anchor5,div_4)}; -if_block(node_3,$$render=>{section2().toolArgs?$$render(consequent_2):isStreaming()?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_1),append($$anchor4,div_1)},$$slots:{default:!0}})}},consequent_10=$$anchor3=>{const isPending=user_derived(()=>section2().type===AgenticSectionType.TOOL_CALL_PENDING),toolIcon=user_derived(()=>get$3(isPending)?Loader_circle:Wrench),toolIconClass=user_derived(()=>get$3(isPending)?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived(()=>isExpanded(index2(), -section2())),$1=user_derived(()=>section2().toolName||""),$2=user_derived(()=>get$3(isPending)?"executing...":void 0);CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return get$3(toolIcon)},get iconClass(){return get$3(toolIconClass)},get title(){return get$3($1)},get subtitle(){return get$3($2)},get isStreaming(){return get$3(isPending)},onToggle:()=>toggleExpanded(index2(),section2()),children:($$anchor4,$$slotProps)=>{var fragment_5=root_10$7(),node_4=first_child( -fragment_5);{var consequent_5=$$anchor5=>{var div_5=root_11$8(),node_5=sibling(child(div_5),2);{let $02=user_derived(()=>formatJsonPretty(section2().toolArgs));SyntaxHighlightedCode(node_5,{get code(){return get$3($02)},get language(){return FileTypeText.JSON},maxHeight:"20rem",class:"text-xs"})}reset(div_5),append($$anchor5,div_5)};if_block(node_4,$$render=>{section2().toolArgs&§ion2().toolArgs!=="{}"&&$$render(consequent_5)})}var div_6=sibling(node_4,2),div_7=child(div_6),node_6=sibling(child( -div_7),2);{var consequent_6=$$anchor5=>{Loader_circle($$anchor5,{class:"h-3 w-3 animate-spin"})};if_block(node_6,$$render=>{get$3(isPending)&&$$render(consequent_6)})}reset(div_7);var node_7=sibling(div_7,2);{var consequent_7=$$anchor5=>{var div_8=root_13$6();append($$anchor5,div_8)},consequent_9=$$anchor5=>{var div_9=root_14$4();each(div_9,21,()=>section2().parsedLines,index$2,($$anchor6,line)=>{var 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handleContinue(shouldContinue){set$1(continueDismissed,!0),agenticResolveContinue($$props.message.convId,shouldContinue)}const sections=user_derived(()=>deriveAgenticSections($$props.message,toolMessages(),[],isStreaming())),sectionsParsed=user_derived(()=>get$3(sections).map(section2=>({...section2,parsedLines:section2.toolResult?parseToolResultWithImages(section2.toolResult,section2.toolResultExtras||$$props. -message?.extra):[]}))),turnGroups=user_derived(()=>{const turns=[];let currentTurn=[],currentIndices=[],prevWasTool=!1;for(let i=0;i0&&(turns.push({sections:currentTurn,flatIndices:currentIndices}),currentTurn=[],currentIndices= -[]),currentTurn.push(section2),currentIndices.push(i),prevWasTool=isTool}return currentTurn.length>0&&turns.push({sections:currentTurn,flatIndices:currentIndices}),turns});function getDefaultExpanded(section2){return section2.type===AgenticSectionType.TOOL_CALL_PENDING||section2.type===AgenticSectionType.TOOL_CALL_STREAMING?get$3(showToolCallInProgress):section2.type===AgenticSectionType.REASONING_PENDING?get$3(showThoughtInProgress):!1}function isExpanded(index2,section2){return expandedStates[index2]!== -void 0?expandedStates[index2]:getDefaultExpanded(section2)}function toggleExpanded(index2,section2){const currentState=isExpanded(index2,section2);expandedStates[index2]=!currentState}function buildTurnAgenticTimings(stats){return{turns:1,toolCallsCount:stats.toolCalls.length,toolsMs:stats.toolsMs,toolCalls:stats.toolCalls,llm:stats.llm}}var div_16=root$P(),node_9=child(div_16);{var consequent_14=$$anchor2=>{var fragment_10=comment$2(),node_10=first_child(fragment_10);each(node_10,17,()=>get$3(turnGroups), -index$2,($$anchor3,turn,turnIndex)=>{const turnStats=user_derived(()=>$$props.message?.timings?.agentic?.perTurn?.[turnIndex]);var div_17=root_23$1(),span=child(div_17);span.textContent=`Turn 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-GENERATION},hideSummary:!0})}reset(div_18),append($$anchor4,div_18)};if_block(node_12,$$render=>{get$3(turnStats)&&$$render(consequent_13)})}reset(div_17),append($$anchor3,div_17)}),append($$anchor2,fragment_10)},alternate_2=$$anchor2=>{var fragment_12=comment$2(),node_14=first_child(fragment_12);each(node_14,17,()=>get$3(sectionsParsed),index$2,($$anchor3,section2,index2)=>{renderSection($$anchor3,()=>get$3(section2),()=>index2)}),append($$anchor2,fragment_12)};if_block(node_9,$$render=>{highlightTurns()&& -get$3(turnGroups).length>1?$$render(consequent_14):$$render(alternate_2,-1)})}var node_15=sibling(node_9,2);{var consequent_15=$$anchor2=>{ChatMessagePermissionRequest($$anchor2,{get toolName(){return get$3(pendingPermission).toolName},get serverLabel(){return get$3(pendingPermission).serverLabel},onDecision:handlePermission})};if_block(node_15,$$render=>{get$3(pendingPermission)&&!get$3(permissionDismissed)&&$$render(consequent_15)})}var node_16=sibling(node_15,2);{var consequent_16=$$anchor2=>{ -ChatMessageContinueRequest($$anchor2,{onDecision:handleContinue})};if_block(node_16,$$render=>{get$3(pendingContinue)&&!get$3(continueDismissed)&&$$render(consequent_16)})}reset(div_16),append($$anchor,div_16),pop()}var root$O=from_html("
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          ');function ChatMessageActionCard($$anchor,$$props){var div=root$M(),div_1=child(div),node2=child(div_1);component(node2,()=>$$props.icon,($$anchor2,Icon_1)=>{Icon_1($$anchor2,{class:"h-4 w-4 shrink-0 text-muted-foregrou\ -nd"})});var span=sibling(node2,2),node_1=child(span);snippet(node_1,()=>$$props.message),reset(span),reset(div_1);var div_2=sibling(div_1,2),node_2=child(div_2);snippet(node_2,()=>$$props.actions),reset(div_2),reset(div),append($$anchor,div)}var root_2$v=from_html('from ',1),root_1$m=from_html('Allow use of ?',1),root_5$i=from_html(" ",1),root_10$6=from_html("Always allow
          tool",1),root_9$c=from_html( -" ",1),root_4$f=from_html(" ",1),root_3$m=from_html(" ",1);function ChatMessagePermissionRequest($$anchor,$$props){push$1($$props,!0),ChatMessageActionCard($$anchor,{get icon(){return Shield_question},message:$$anchor2=>{next$1();var fragment_1=root_1$m(),span=sibling(first_child(fragment_1)),text2=child(span,!0);reset(span);var node2=sibling(span,2);{var consequent=$$anchor3=>{var fragment_2=root_2$v(),span_1=sibling(first_child(fragment_2)),text_1=child(span_1,!0);reset(span_1), -template_effect(()=>set_text(text_1,$$props.serverLabel)),append($$anchor3,fragment_2)};if_block(node2,$$render=>{$$props.serverLabel&&$$render(consequent)})}next$1(),template_effect(()=>set_text(text2,$$props.toolName)),append($$anchor2,fragment_1)},actions:$$anchor2=>{var fragment_3=root_3$m(),node_1=first_child(fragment_3);component(node_1,()=>Root$2,($$anchor3,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_4$f(),node_2=first_child(fragment_4); -component(node_2,()=>Button_group_root,($$anchor5,ButtonGroup_Root)=>{ButtonGroup_Root($$anchor5,{class:"overflow-hidden rounded-md bg-foreground text-white shadow-sm dark:bg-secondary dark:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_5=root_5$i(),node_3=first_child(fragment_5);Button(node_3,{class:"rounded-none! shadow-none!",size:"sm",onclick:()=>$$props.onDecision(ToolPermissionDecision.ONCE),children:($$anchor7,$$slotProps3)=>{next$1();var text_2=text$8("Allow once");append( -$$anchor7,text_2)},$$slots:{default:!0}});var node_4=sibling(node_3,2);component(node_4,()=>Button_group_separator,($$anchor7,ButtonGroup_Separator)=>{ButtonGroup_Separator($$anchor7,{})});var node_5=sibling(node_4,2);component(node_5,()=>Dropdown_menu_trigger,($$anchor7,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor7,{children:($$anchor8,$$slotProps3)=>{Button($$anchor8,{size:"sm",class:"rounded-none! !ps-2 shadow-none!",children:($$anchor9,$$slotProps4)=>{Chevron_down($$anchor9,{class:"\ -h-3.5 w-3.5"})},$$slots:{default:!0}})},$$slots:{default:!0}})}),append($$anchor6,fragment_5)},$$slots:{default:!0}})});var node_6=sibling(node_2,2);component(node_6,()=>Dropdown_menu_content,($$anchor5,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor5,{align:"start",class:"min-w-[8rem]",children:($$anchor6,$$slotProps2)=>{var fragment_8=root_9$c(),node_7=first_child(fragment_8);component(node_7,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor7,{onclick:()=>$$props. -onDecision(ToolPermissionDecision.ALWAYS),children:($$anchor8,$$slotProps3)=>{next$1();var fragment_9=root_10$6(),pre=sibling(first_child(fragment_9)),text_3=child(pre,!0);reset(pre),next$1(),template_effect(()=>set_text(text_3,$$props.toolName)),append($$anchor8,fragment_9)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);{var consequent_1=$$anchor7=>{var fragment_10=comment$2(),node_9=first_child(fragment_10);component(node_9,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_1)=>{DropdownMenu_Item_1( -$$anchor8,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS_SERVER),children:($$anchor9,$$slotProps3)=>{next$1();var text_4=text$8();template_effect(()=>set_text(text_4,`Always allow all tools from ${$$props.serverLabel??""}`)),append($$anchor9,text_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_10)},alternate=$$anchor7=>{const source2=user_derived(()=>toolsStore.getToolSource($$props.toolName)),providerName=user_derived(()=>get$3(source2)===ToolSource.BUILTIN?TOOL_SERVER_LABELS[ToolSource. -BUILTIN]:get$3(source2)===ToolSource.CUSTOM?TOOL_SERVER_LABELS[ToolSource.CUSTOM]:"MCP Tools");var fragment_12=comment$2(),node_10=first_child(fragment_12);component(node_10,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_2)=>{DropdownMenu_Item_2($$anchor8,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS_SERVER),children:($$anchor9,$$slotProps3)=>{next$1();var text_5=text$8();template_effect(()=>set_text(text_5,`Approve all tools from ${get$3(providerName)??""}`)),append($$anchor9, -text_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_12)};if_block(node_8,$$render=>{$$props.serverLabel?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor6,fragment_8)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})});var node_11=sibling(node_1,2);Button(node_11,{variant:"destructive",size:"sm",class:"text-destructive hover:text-destructive",onclick:()=>$$props.onDecision(ToolPermissionDecision.DENY),children:($$anchor3,$$slotProps)=>{next$1(); -var text_6=text$8("Deny");append($$anchor3,text_6)},$$slots:{default:!0}}),append($$anchor2,fragment_3)}}),pop()}var root_2$u=from_html(" ",1);function ChatMessageContinueRequest($$anchor,$$props){push$1($$props,!0),ChatMessageActionCard($$anchor,{get icon(){return Rotate_cw},message:$$anchor2=>{next$1();var text2=text$8("Agentic turn limit reached. Continue?");append($$anchor2,text2)},actions:$$anchor2=>{var fragment_1=root_2$u(),node2=first_child(fragment_1);Button(node2,{size:"sm",onclick:()=>$$props. -onDecision(!0),children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("Continue");append($$anchor3,text_1)},$$slots:{default:!0}});var node_1=sibling(node2,2);Button(node_1,{variant:"destructive",size:"sm",class:"text-destructive hover:text-destructive",onclick:()=>$$props.onDecision(!1),children:($$anchor3,$$slotProps)=>{next$1();var text_2=text$8("Stop");append($$anchor3,text_2)},$$slots:{default:!0}}),append($$anchor2,fragment_1)}}),pop()}var root_6$d=from_html('
          Show raw output
          '),root_7$e=from_html('
          '),root$L=from_html('
          ',1);function ChatMessageActions($$anchor,$$props){push$1( -$$props,!0);let siblingInfo=prop($$props,"siblingInfo",3,null),showDeleteDialog=prop($$props,"showDeleteDialog",7),showRawOutputSwitch=prop($$props,"showRawOutputSwitch",3,!1),rawOutputEnabled=prop($$props,"rawOutputEnabled",3,!1),showForkDialog=state$1(!1),forkName=state$1(""),forkIncludeAttachments=state$1(!0);function handleConfirmDelete(){$$props.onConfirmDelete(),$$props.onShowDeleteDialogChange(!1)}function handleOpenForkDialog(){const conv=activeConversation();set$1(forkName,`Fork of ${conv?. -name??"Conversation"}`),set$1(forkIncludeAttachments,!0),set$1(showForkDialog,!0)}function handleConfirmFork(){$$props.onForkConversation?.({name:get$3(forkName).trim(),includeAttachments:get$3(forkIncludeAttachments)}),set$1(showForkDialog,!1)}var fragment=root$L(),div=first_child(fragment),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{ChatMessageBranchingControls($$anchor2,{get siblingInfo(){return siblingInfo()},get onNavigateToSibling(){return $$props.onNavigateToSibling}})}; -if_block(node2,$$render=>{siblingInfo()&&siblingInfo().totalSiblings>1&&$$render(consequent)})}var div_2=sibling(node2,2),node_1=child(div_2);ActionIcon(node_1,{get icon(){return Copy},tooltip:"Copy",get onclick(){return $$props.onCopy}});var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Square_pen},tooltip:"Edit",get onclick(){return $$props.onEdit}})};if_block(node_2,$$render=>{$$props.onEdit&&$$render(consequent_1)})}var node_3=sibling(node_2,2); -{var consequent_2=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Refresh_cw},tooltip:"Regenerate",onclick:()=>$$props.onRegenerate()})};if_block(node_3,$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props.onRegenerate&&$$render(consequent_2)})}var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Arrow_right},tooltip:"Continue",get onclick(){return $$props.onContinue}})};if_block(node_4,$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props. -onContinue&&$$render(consequent_3)})}var node_5=sibling(node_4,2);{var consequent_4=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Git_branch},tooltip:"Fork conversation",onclick:handleOpenForkDialog})};if_block(node_5,$$render=>{$$props.onForkConversation&&$$render(consequent_4)})}var node_6=sibling(node_5,2);ActionIcon(node_6,{get icon(){return Trash_2},tooltip:"Delete",get onclick(){return $$props.onDelete}}),reset(div_2),reset(div_1);var node_7=sibling(div_1,2);{var consequent_5=$$anchor2=>{ -var div_3=root_6$d(),node_8=sibling(child(div_3),2);Switch(node_8,{get checked(){return rawOutputEnabled()},onCheckedChange:checked=>$$props.onRawOutputToggle?.(checked)}),reset(div_3),append($$anchor2,div_3)};if_block(node_7,$$render=>{showRawOutputSwitch()&&$$render(consequent_5)})}reset(div);var node_9=sibling(div,2);{let $0=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount>1?`This will delete ${$$props.deletionInfo.totalCount} messages including: ${$$props.deletionInfo.userMessages}\ - user message${$$props.deletionInfo.userMessages>1?"s":""} and ${$$props.deletionInfo.assistantMessages} assistant response${$$props.deletionInfo.assistantMessages>1?"s":""}. All messages in this branch and their responses will be permanently removed. This action cannot be undone.`:"Are you sure you want to delete this message? This action cannot be undone."),$1=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount>1?`Delete ${$$props.deletionInfo.totalCount} Messages`:"Delete"); -DialogConfirmation(node_9,{title:"Delete Message",get description(){return get$3($0)},get confirmText(){return get$3($1)},cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>$$props.onShowDeleteDialogChange(!1),get open(){return showDeleteDialog()},set open($$value){showDeleteDialog($$value)}})}var node_10=sibling(node_9,2);DialogConfirmation(node_10,{title:"Fork Conversation",description:"Create a new conversation branching from this m\ -essage.",confirmText:"Fork",cancelText:"Cancel",get icon(){return Git_branch},onConfirm:handleConfirmFork,onCancel:()=>set$1(showForkDialog,!1),get open(){return get$3(showForkDialog)},set open($$value){set$1(showForkDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var div_4=root_7$e(),div_5=child(div_4),node_11=child(div_5);Label(node_11,{for:"fork-name",children:($$anchor3,$$slotProps2)=>{next$1();var text2=text$8("Title");append($$anchor3,text2)},$$slots:{default:!0}});var node_12=sibling( -node_11,2);Input(node_12,{id:"fork-name",class:"text-foreground",placeholder:"Enter fork name",type:"text",get value(){return get$3(forkName)},set value($$value){set$1(forkName,$$value,!0)}}),reset(div_5);var div_6=sibling(div_5,2),node_13=child(div_6);Checkbox(node_13,{id:"fork-attachments",get checked(){return get$3(forkIncludeAttachments)},onCheckedChange:checked=>{set$1(forkIncludeAttachments,checked===!0)}});var node_14=sibling(node_13,2);Label(node_14,{for:"fork-attachments",class:"cursor-\ -pointer text-sm font-normal",children:($$anchor3,$$slotProps2)=>{next$1();var text_1=text$8("Include all attachments");append($$anchor3,text_1)},$$slots:{default:!0}}),reset(div_6),reset(div_4),append($$anchor2,div_4)},$$slots:{default:!0}}),template_effect(()=>{set_class(div,1,`relative ${$$props.justify==="start"?"mt-2":""} flex h-6 items-center justify-between`),set_class(div_1,1,`${$$props.actionsPosition==="left"?"left-0":"right-0"} flex items-center gap-2 opacity-100 transition-opacity`)}), -append($$anchor,fragment),pop()}var root_5$h=from_html("

          Previous version

          "),root_2$t=from_html(" ",1),root_9$b=from_html("

          Next version

          "),root_6$c=from_html(" ",1),root_1$l=from_html('
          ');function ChatMessageBranchingControls($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),hasPrevious=user_derived(()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex>0),hasNext=user_derived( -()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex<$$props.siblingInfo.totalSiblings-1),nextSiblingId=user_derived(()=>get$3(hasNext)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex+1]:null),previousSiblingId=user_derived(()=>get$3(hasPrevious)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex-1]:null);function handleNext(){get$3(nextSiblingId)&&$$props.onNavigateToSibling?.(get$3(nextSiblingId))}function handlePrevious(){get$3(previousSiblingId)&&$$props.onNavigateToSibling?.( -get$3(previousSiblingId))}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$l(),node_1=child(div);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$t(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{{let $0=user_derived(()=>get$3(hasPrevious)?"":"cursor-\ -not-allowed opacity-30"),$1=user_derived(()=>!get$3(hasPrevious));Button($$anchor6,{"aria-label":"Previous message version",get class(){return`h-5 w-5 p-0 ${get$3($0)??""}`},get disabled(){return get$3($1)},onclick:handlePrevious,size:"sm",variant:"ghost",children:($$anchor7,$$slotProps3)=>{Chevron_left($$anchor7,{class:"h-3 w-3"})},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_3=sibling(node_2,2);component(node_3,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5, -{children:($$anchor6,$$slotProps2)=>{var p2=root_5$h();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})});var span=sibling(node_1,2),text2=child(span);reset(span);var node_4=sibling(span,2);component(node_4,()=>Root$5,($$anchor3,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_6$c(),node_5=first_child(fragment_4);component(node_5,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_1)=>{Tooltip_Trigger_1( -$$anchor5,{children:($$anchor6,$$slotProps2)=>{{let $0=user_derived(()=>get$3(hasNext)?"":"cursor-not-allowed opacity-30"),$1=user_derived(()=>!get$3(hasNext));Button($$anchor6,{"aria-label":"Next message version",get class(){return`h-5 w-5 p-0 ${get$3($0)??""}`},get disabled(){return get$3($1)},onclick:handleNext,size:"sm",variant:"ghost",children:($$anchor7,$$slotProps3)=>{Chevron_right($$anchor7,{class:"h-3 w-3"})},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_6=sibling(node_5,2); -component(node_6,()=>Tooltip_content,($$anchor5,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_1=root_9$b();append($$anchor6,p_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),reset(div),template_effect(()=>{set_attribute(div,"aria-label",`Message version ${$$props.siblingInfo.currentIndex+1} of ${$$props.siblingInfo.totalSiblings??""}`),set_class(div,1,`flex items-center gap-1 text-xs text-muted-foreground ${className()?? -""}`),set_text(text2,`${$$props.siblingInfo.currentIndex+1}/${$$props.siblingInfo.totalSiblings??""}`)}),append($$anchor2,div)};if_block(node2,$$render=>{$$props.siblingInfo&&$$props.siblingInfo.totalSiblings>1&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_3$l=from_html(''),root_4$e=from_html("

          Reading (prompt processing)

          "),root_2$s=from_html(" ",1),root_6$b=from_html(''),root_7$d=from_html("

          "),root_5$g=from_html(" ",1),root_10$5=from_html(''),root_11$7=from_html("

          Tool calls

          "),root_9$a=from_html(" ",1),root_14$3=from_html(''),root_15$4=from_html("

          Agentic summary

          "),root_13$5=from_html(" ",1),root_8$d=from_html(" ",1),root_16$1=from_html( -" ",1),root_17$4=from_html(" ",1),root_18$4=from_html(" ",1),root_19$4=from_html(" ",1),root$K=from_html('
          ');function ChatMessageStatistics($$anchor,$$props){push$1($$props,!0);let isLive=prop($$props,"isLive",3,!1),isProcessingPrompt=prop( -$$props,"isProcessingPrompt",3,!1),initialView=prop($$props,"initialView",19,()=>ChatMessageStatsView.GENERATION),hideSummary=prop($$props,"hideSummary",3,!1),activeView=user_derived(initialView),hasAutoSwitchedToGeneration=state$1(!1);user_effect(()=>{$$props.onActiveViewChange?.(get$3(activeView))}),user_effect(()=>{isLive()&&(!get$3(hasAutoSwitchedToGeneration)&&!isProcessingPrompt()&&$$props.predictedTokens&&$$props.predictedTokens>0?(set$1(activeView,ChatMessageStatsView.GENERATION),set$1(hasAutoSwitchedToGeneration, -!0)):get$3(hasAutoSwitchedToGeneration)||set$1(activeView,ChatMessageStatsView.READING))});let hasGenerationStats=user_derived(()=>$$props.predictedTokens!==void 0&&$$props.predictedTokens>0&&$$props.predictedMs!==void 0&&$$props.predictedMs>0),tokensPerSecond=user_derived(()=>get$3(hasGenerationStats)?$$props.predictedTokens/$$props.predictedMs*MS_PER_SECOND:0),formattedTime=user_derived(()=>$$props.predictedMs!==void 0?formatPerformanceTime($$props.predictedMs):DEFAULT_PERFORMANCE_TIME),promptTokensPerSecond=user_derived( -()=>$$props.promptTokens!==void 0&&$$props.promptMs!==void 0&&$$props.promptMs>0?$$props.promptTokens/$$props.promptMs*MS_PER_SECOND:void 0),formattedPromptTime=user_derived(()=>$$props.promptMs!==void 0?formatPerformanceTime($$props.promptMs):void 0),hasPromptStats=user_derived(()=>$$props.promptTokens!==void 0&&$$props.promptMs!==void 0&&get$3(promptTokensPerSecond)!==void 0&&get$3(formattedPromptTime)!==void 0),isGenerationDisabled=user_derived(()=>isLive()&&!get$3(hasGenerationStats)),hasAgenticStats=user_derived( -()=>$$props.agenticTimings!==void 0&&$$props.agenticTimings.toolCallsCount>0),agenticToolsPerSecond=user_derived(()=>get$3(hasAgenticStats)&&$$props.agenticTimings.toolsMs>0?$$props.agenticTimings.toolCallsCount/$$props.agenticTimings.toolsMs*MS_PER_SECOND:0),formattedAgenticToolsTime=user_derived(()=>get$3(hasAgenticStats)?formatPerformanceTime($$props.agenticTimings.toolsMs):DEFAULT_PERFORMANCE_TIME),agenticTotalTimeMs=user_derived(()=>get$3(hasAgenticStats)?$$props.agenticTimings.toolsMs+$$props. -agenticTimings.llm.predicted_ms+$$props.agenticTimings.llm.prompt_ms:0),formattedAgenticTotalTime=user_derived(()=>formatPerformanceTime(get$3(agenticTotalTimeMs)));var div=root$K(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$s(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger, -($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var button=root_3$l(),node_3=child(button);Book_open_text(node_3,{class:"h-3 w-3"}),next$1(2),reset(button),template_effect(()=>set_class(button,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.READING?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button,()=>set$1(activeView,ChatMessageStatsView. -READING)),append($$anchor6,button)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$e();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{(get$3(hasPromptStats)||isLive())&&$$render(consequent)})}var node_5=sibling(node2,2);component(node_5,()=>Root$5, -($$anchor2,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_2=root_5$g(),node_6=first_child(fragment_2);component(node_6,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{var button_1=root_6$b(),node_7=child(button_1);Sparkles(node_7,{class:"h-3 w-3"}),next$1(2),reset(button_1),template_effect(()=>{set_class(button_1,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transitio\ -n-colors ${get$3(activeView)===ChatMessageStatsView.GENERATION?"bg-background text-foreground shadow-sm":get$3(isGenerationDisabled)?"cursor-not-allowed opacity-40":"hover:text-foreground"}`),button_1.disabled=get$3(isGenerationDisabled)}),delegated("click",button_1,()=>!get$3(isGenerationDisabled)&&set$1(activeView,ChatMessageStatsView.GENERATION)),append($$anchor5,button_1)},$$slots:{default:!0}})});var node_8=sibling(node_6,2);component(node_8,()=>Tooltip_content,($$anchor4,Tooltip_Content_1)=>{ -Tooltip_Content_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{var p_1=root_7$d(),text2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text2,get$3(isGenerationDisabled)?"Generation (waiting for tokens...)":"Generation (token output)")),append($$anchor5,p_1)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)},$$slots:{default:!0}})});var node_9=sibling(node_5,2);{var consequent_2=$$anchor2=>{var fragment_3=root_8$d(),node_10=first_child(fragment_3);component(node_10,()=>Root$5,($$anchor3,Tooltip_Root_2)=>{ -Tooltip_Root_2($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_9$a(),node_11=first_child(fragment_4);component(node_11,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor5,{children:($$anchor6,$$slotProps2)=>{var button_2=root_10$5(),node_12=child(button_2);Wrench(node_12,{class:"h-3 w-3"}),next$1(2),reset(button_2),template_effect(()=>set_class(button_2,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$3(activeView)=== -ChatMessageStatsView.TOOLS?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button_2,()=>set$1(activeView,ChatMessageStatsView.TOOLS)),append($$anchor6,button_2)},$$slots:{default:!0}})});var node_13=sibling(node_11,2);component(node_13,()=>Tooltip_content,($$anchor5,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_2=root_11$7();append($$anchor6,p_2)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{ -default:!0}})});var node_14=sibling(node_10,2);{var consequent_1=$$anchor3=>{var fragment_5=comment$2(),node_15=first_child(fragment_5);component(node_15,()=>Root$5,($$anchor4,Tooltip_Root_3)=>{Tooltip_Root_3($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_6=root_13$5(),node_16=first_child(fragment_6);component(node_16,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_3)=>{Tooltip_Trigger_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{var button_3=root_14$3(),node_17=child(button_3);Layers( -node_17,{class:"h-3 w-3"}),next$1(2),reset(button_3),template_effect(()=>set_class(button_3,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.SUMMARY?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button_3,()=>set$1(activeView,ChatMessageStatsView.SUMMARY)),append($$anchor7,button_3)},$$slots:{default:!0}})});var node_18=sibling(node_16,2);component(node_18,()=>Tooltip_content,($$anchor6,Tooltip_Content_3)=>{ -Tooltip_Content_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{var p_3=root_15$4();append($$anchor7,p_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_6)},$$slots:{default:!0}})}),append($$anchor3,fragment_5)};if_block(node_14,$$render=>{hideSummary()||$$render(consequent_1)})}append($$anchor2,fragment_3)};if_block(node_9,$$render=>{get$3(hasAgenticStats)&&$$render(consequent_2)})}reset(div_1);var div_2=sibling(div_1,2),node_19=child(div_2);{var consequent_3=$$anchor2=>{var fragment_7=root_16$1(), -node_20=first_child(fragment_7);{let $0=user_derived(()=>$$props.predictedTokens?.toLocaleString());BadgeChatStatistic(node_20,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${get$3($0)??""} tokens`},tooltipLabel:"Generated tokens"})}var node_21=sibling(node_20,2);BadgeChatStatistic(node_21,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3(formattedTime)},tooltipLabel:"Generation time"});var node_22=sibling(node_21,2);{let $0=user_derived(()=>get$3( -tokensPerSecond).toFixed(2));BadgeChatStatistic(node_22,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$3($0)??""} t/s`},tooltipLabel:"Generation speed"})}append($$anchor2,fragment_7)},consequent_4=$$anchor2=>{var fragment_8=root_17$4(),node_23=first_child(fragment_8);BadgeChatStatistic(node_23,{class:"bg-transparent",get icon(){return Wrench},get value(){return`${$$props.agenticTimings.toolCallsCount??""} calls`},tooltipLabel:"Tool calls executed"});var node_24=sibling( -node_23,2);BadgeChatStatistic(node_24,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3(formattedAgenticToolsTime)},tooltipLabel:"Tool execution time"});var node_25=sibling(node_24,2);{let $0=user_derived(()=>get$3(agenticToolsPerSecond).toFixed(2));BadgeChatStatistic(node_25,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$3($0)??""} calls/s`},tooltipLabel:"Tool execution rate"})}append($$anchor2,fragment_8)},consequent_5=$$anchor2=>{var fragment_9=root_18$4(), -node_26=first_child(fragment_9);BadgeChatStatistic(node_26,{class:"bg-transparent",get icon(){return Layers},get value(){return`${$$props.agenticTimings.turns??""} turns`},tooltipLabel:"Agentic turns (LLM calls)"});var node_27=sibling(node_26,2);{let $0=user_derived(()=>$$props.agenticTimings.llm.predicted_n.toLocaleString());BadgeChatStatistic(node_27,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${get$3($0)??""} tokens`},tooltipLabel:"Total tokens generated"})}var node_28=sibling( -node_27,2);BadgeChatStatistic(node_28,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3(formattedAgenticTotalTime)},tooltipLabel:"Total time (LLM + tools)"}),append($$anchor2,fragment_9)},consequent_6=$$anchor2=>{var fragment_10=root_19$4(),node_29=first_child(fragment_10);BadgeChatStatistic(node_29,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${$$props.promptTokens??""} tokens`},tooltipLabel:"Prompt tokens"});var node_30=sibling(node_29,2);{let $0=user_derived( -()=>get$3(formattedPromptTime)??"0s");BadgeChatStatistic(node_30,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3($0)},tooltipLabel:"Prompt processing time"})}var node_31=sibling(node_30,2);{let $0=user_derived(()=>get$3(promptTokensPerSecond).toFixed(2));BadgeChatStatistic(node_31,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$3($0)??""} tokens/s`},tooltipLabel:"Prompt processing speed"})}append($$anchor2,fragment_10)};if_block(node_19,$$render=>{ -get$3(activeView)===ChatMessageStatsView.GENERATION&&get$3(hasGenerationStats)?$$render(consequent_3):get$3(activeView)===ChatMessageStatsView.TOOLS&&get$3(hasAgenticStats)?$$render(consequent_4,1):get$3(activeView)===ChatMessageStatsView.SUMMARY&&get$3(hasAgenticStats)?$$render(consequent_5,2):get$3(hasPromptStats)&&$$render(consequent_6,3)})}reset(div_2),reset(div),append($$anchor,div),pop()}delegate(["click"]);var root_3$k=from_html('
          '),root_2$r=from_html(" ",1),root$J=from_html('
          ');function ChatMessageMcpPrompt($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext();var div=root$J(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$r(),node_1=first_child(fragment_1);ChatMessageMcpPromptContent( -node_1,{get prompt(){return $$props.mcpPrompt},get variant(){return McpPromptVariant.MESSAGE},class:"w-full max-w-[80%]"});var node_2=sibling(node_1,2);{var consequent_1=$$anchor3=>{var div_1=root_3$k(),node_3=child(div_1);ChatMessageActions(node_3,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit}, -get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_1),append($$anchor3,div_1)};if_block(node_2,$$render=>{$$props.message.timestamp&&$$render(consequent_1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})} -reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}var root_3$j=from_html(''),root_7$c=from_html('
          '),root_2$q=from_html('
          Conversation NameMessages
          '),root$I=from_html('
          ');function ConversationSelection($$anchor,$$props){push$1($$props,!0);let messageCountMap=prop($$props,"messageCountMap",19,()=>new Map),searchQuery=state$1(""),selectedIds=state$1(getInitialSelectedIds()),lastClickedId=state$1(null);function getInitialSelectedIds(){return new SvelteSet($$props.conversations.map(c2=>c2.id))}let filteredConversations=user_derived(()=>$$props.conversations.filter(conv=>(conv.name||"Un\ -titled conversation").toLowerCase().includes(get$3(searchQuery).toLowerCase()))),allSelected=user_derived(()=>get$3(filteredConversations).length>0&&get$3(filteredConversations).every(conv=>get$3(selectedIds).has(conv.id))),someSelected=user_derived(()=>get$3(filteredConversations).some(conv=>get$3(selectedIds).has(conv.id))&&!get$3(allSelected));function toggleConversation(id2,shiftKey=!1){const newSet=new SvelteSet(get$3(selectedIds));if(shiftKey&&get$3(lastClickedId)!==null){const lastIndex=get$3( -filteredConversations).findIndex(c2=>c2.id===get$3(lastClickedId)),currentIndex=get$3(filteredConversations).findIndex(c2=>c2.id===id2);if(lastIndex!==-1&¤tIndex!==-1){const start2=Math.min(lastIndex,currentIndex),end=Math.max(lastIndex,currentIndex),shouldSelect=!newSet.has(id2);for(let i=start2;i<=end;i++)shouldSelect?newSet.add(get$3(filteredConversations)[i].id):newSet.delete(get$3(filteredConversations)[i].id);set$1(selectedIds,newSet);return}}newSet.has(id2)?newSet.delete(id2):newSet. -add(id2),set$1(selectedIds,newSet),set$1(lastClickedId,id2,!0)}function toggleAll(){if(get$3(allSelected)){const newSet=new SvelteSet(get$3(selectedIds));get$3(filteredConversations).forEach(conv=>newSet.delete(conv.id)),set$1(selectedIds,newSet)}else{const newSet=new SvelteSet(get$3(selectedIds));get$3(filteredConversations).forEach(conv=>newSet.add(conv.id)),set$1(selectedIds,newSet)}}function handleConfirm(){const selected=$$props.conversations.filter(conv=>get$3(selectedIds).has(conv.id));$$props. -onConfirm(selected)}function handleCancel(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null),$$props.onCancel()}function reset$1(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null)}var $$exports={reset:reset$1},div=root$I(),node2=child(div);SearchInput(node2,{placeholder:"Search conversations...",get value(){return get$3(searchQuery)},set value($$value){set$1(searchQuery,$$value,!0)}});var div_1=sibling(node2,2),span=child( -div_1),text2=child(span),node_1=sibling(text2);{var consequent=$$anchor2=>{var text_1=text$8();template_effect(()=>set_text(text_1,`(${get$3(filteredConversations).length??""} shown)`)),append($$anchor2,text_1)};if_block(node_1,$$render=>{get$3(searchQuery)&&$$render(consequent)})}reset(span),reset(div_1);var div_2=sibling(div_1,2),node_2=child(div_2);Scroll_area(node_2,{class:"h-[400px]",children:($$anchor2,$$slotProps)=>{var table2=root_2$q(),thead2=child(table2),tr2=child(thead2),th=child(tr2), -node_3=child(th);Checkbox(node_3,{get checked(){return get$3(allSelected)},get indeterminate(){return get$3(someSelected)},onCheckedChange:toggleAll}),reset(th),next$1(2),reset(tr2),reset(thead2);var tbody2=sibling(thead2),node_4=child(tbody2);{var consequent_2=$$anchor3=>{var tr_1=root_3$j(),td=child(tr_1),node_5=child(td);{var consequent_1=$$anchor4=>{var text_2=text$8();template_effect(()=>set_text(text_2,`No conversations found matching "${get$3(searchQuery)??""}"`)),append($$anchor4,text_2)}, -alternate=$$anchor4=>{var text_3=text$8("No conversations available");append($$anchor4,text_3)};if_block(node_5,$$render=>{get$3(searchQuery)?$$render(consequent_1):$$render(alternate,-1)})}reset(td),reset(tr_1),append($$anchor3,tr_1)},alternate_1=$$anchor3=>{var fragment_2=comment$2(),node_6=first_child(fragment_2);each(node_6,17,()=>get$3(filteredConversations),conv=>conv.id,($$anchor4,conv)=>{var tr_2=root_7$c(),td_1=child(tr_2),node_7=child(td_1);{let $0=user_derived(()=>get$3(selectedIds).has( -get$3(conv).id));Checkbox(node_7,{get checked(){return get$3($0)},onclick:e=>{e.preventDefault(),e.stopPropagation(),toggleConversation(get$3(conv).id,e.shiftKey)}})}reset(td_1);var td_2=sibling(td_1),div_3=child(td_2),text_4=child(div_3,!0);reset(div_3),reset(td_2);var td_3=sibling(td_2),text_5=child(td_3,!0);reset(td_3),reset(tr_2),template_effect($0=>{set_attribute(div_3,"title",get$3(conv).name||"Untitled conversation"),set_text(text_4,get$3(conv).name||"Untitled conversation"),set_text(text_5, -$0)},[()=>messageCountMap().get(get$3(conv).id)??0]),delegated("click",tr_2,e=>toggleConversation(get$3(conv).id,e.shiftKey)),append($$anchor4,tr_2)}),append($$anchor3,fragment_2)};if_block(node_4,$$render=>{get$3(filteredConversations).length===0?$$render(consequent_2):$$render(alternate_1,-1)})}reset(tbody2),reset(table2),append($$anchor2,table2)},$$slots:{default:!0}}),reset(div_2);var div_4=sibling(div_2,2),node_8=child(div_4);Button(node_8,{variant:"outline",onclick:handleCancel,children:($$anchor2,$$slotProps)=>{ -next$1();var text_6=text$8("Cancel");append($$anchor2,text_6)},$$slots:{default:!0}});var node_9=sibling(node_8,2);{let $0=user_derived(()=>get$3(selectedIds).size===0);Button(node_9,{onclick:handleConfirm,get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_7=text$8();template_effect(()=>set_text(text_7,`${$$props.mode==="export"?"Export":"Import"} (${get$3(selectedIds).size??""})`)),append($$anchor2,text_7)},$$slots:{default:!0}})}return reset(div_4),reset(div), -template_effect(()=>set_text(text2,`${get$3(selectedIds).size??""} of ${$$props.conversations.length??""} selected `)),append($$anchor,div),pop($$exports)}delegate(["click"]);var root$H=from_html('
          ');function HorizontalScrollCarousel($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),gapSize=prop($$props,"gapSize",3,"3"),canScrollLeft=state$1(!1),canScrollRight=state$1( -!1),scrollContainer=state$1(void 0);function scrollLeft(event2){event2?.stopPropagation(),event2?.preventDefault(),get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:get$3(scrollContainer).clientWidth*-.67,behavior:"smooth"})}function scrollRight(event2){event2?.stopPropagation(),event2?.preventDefault(),get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:get$3(scrollContainer).clientWidth*.67,behavior:"smooth"})}function updateScrollButtons(){if(!get$3(scrollContainer))return; -const{scrollLeft:scrollLeft2,scrollWidth,clientWidth}=get$3(scrollContainer);set$1(canScrollLeft,scrollLeft2>0),set$1(canScrollRight,scrollLeft2clientWidth;$$props.onScrollableChange?.(isScrollable)}function resetScroll(){get$3(scrollContainer)&&(get$3(scrollContainer).scrollLeft=0,setTimeout(()=>{updateScrollButtons()},0))}user_effect(()=>{get$3(scrollContainer)&&setTimeout(()=>{updateScrollButtons()},0)});var $$exports={resetScroll},div=root$H(), -button=child(div),node2=child(button);Chevron_left(node2,{class:"h-4 w-4"}),reset(button);var div_1=sibling(button,2),node_1=child(div_1);snippet(node_1,()=>$$props.children??noop$3),reset(div_1),bind_this(div_1,$$value=>set$1(scrollContainer,$$value),()=>get$3(scrollContainer));var button_1=sibling(div_1,2),node_2=child(button_1);return Chevron_right(node_2,{class:"h-4 w-4"}),reset(button_1),reset(div),template_effect(()=>{set_class(div,1,`relative ${className()??""}`),set_class(button,1,`absol\ -ute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 ${get$3(canScrollLeft)?"opacity-100":"pointer-events-none opacity-0"}`),set_class(div_1,1,`scrollbar-hide flex items-start gap-${gapSize()??""} overflow-x-auto`),set_class(button_1,1,`absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdro\ -p-blur-xs transition-opacity hover:bg-foreground/35 ${get$3(canScrollRight)?"opacity-100":"pointer-events-none opacity-0"}`)}),delegated("click",button,scrollLeft),event("scroll",div_1,updateScrollButtons),delegated("click",button_1,scrollRight),append($$anchor,div),pop($$exports)}delegate(["click"]);var root_3$i=from_html(' '),root_4$d=from_html("

          "),root_2$p=from_html(" ",1),root_5$f=from_html(" ");function TruncatedText($$anchor,$$props){ -push$1($$props,!0);let className=prop($$props,"class",3,""),showTooltip=prop($$props,"showTooltip",3,!0),textElement=state$1(void 0),isTruncated=state$1(!1);function checkTruncation(){get$3(textElement)&&set$1(isTruncated,get$3(textElement).scrollWidth>get$3(textElement).clientWidth)}user_effect(()=>{if(get$3(textElement)){checkTruncation();const observer=new ResizeObserver(checkTruncation);return observer.observe(get$3(textElement)),()=>observer.disconnect()}});var fragment=comment$2(),node2=first_child( -fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$p(),node_2=first_child(fragment_2);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{get class(){return className()},children:($$anchor6,$$slotProps2)=>{var span=root_3$i(),text_1=child(span,!0);reset(span),bind_this(span,$$value=>set$1( -textElement,$$value),()=>get$3(textElement)),template_effect(()=>set_text(text_1,$$props.text)),append($$anchor6,span)},$$slots:{default:!0}})});var node_3=sibling(node_2,2);component(node_3,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{class:"z-[9999]",children:($$anchor6,$$slotProps2)=>{var p2=root_4$d(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,$$props.text)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{ -default:!0}})}),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var span_1=root_5$f(),text_3=child(span_1,!0);reset(span_1),bind_this(span_1,$$value=>set$1(textElement,$$value),()=>get$3(textElement)),template_effect(()=>{set_class(span_1,1,`${className()??""} block truncate`),set_text(text_3,$$props.text)}),append($$anchor2,span_1)};if_block(node2,$$render=>{get$3(isTruncated)&&showTooltip()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$h=from_html( -"⌘"),root_5$e=from_html(""),root_1$k=from_html(" ",1),root$G=from_html("");function KeyboardShortcutInfo($$anchor,$$props){push$1($$props,!0);let variant=prop($$props,"variant",3,"default"),className=prop($$props,"class",3,""),variantClasses=user_derived(()=>variant()==="destructive"?"text-destructive":"text-muted-foreground");var kbd=root$G();each(kbd,21,()=>$$props.keys,index$2,($$anchor2,key2,index2)=>{var fragment=root_1$k(),node2=first_child(fragment); -{var consequent=$$anchor3=>{{let $0=user_derived(()=>variant()==="destructive"?"text-destructive":"");Arrow_big_up($$anchor3,{get class(){return`h-1 w-1 ${get$3($0)??""} -mr-1`}})}},consequent_1=$$anchor3=>{var span=root_3$h();template_effect(()=>set_class(span,1,clsx(variant()==="destructive"?"text-destructive":""))),append($$anchor3,span)},alternate=$$anchor3=>{var text2=text$8();template_effect($0=>set_text(text2,$0),[()=>get$3(key2).toUpperCase()]),append($$anchor3,text2)};if_block(node2,$$render=>{ -get$3(key2)==="shift"?$$render(consequent):get$3(key2)==="cmd"?$$render(consequent_1,1):$$render(alternate,-1)})}var node_1=sibling(node2,2);{var consequent_2=$$anchor3=>{var span_1=root_5$e();append($$anchor3,span_1)};if_block(node_1,$$render=>{index2<$$props.keys.length-1&&$$render(consequent_2)})}append($$anchor2,fragment)}),reset(kbd),template_effect(()=>set_class(kbd,1,`px-1 pointer-events-none inline-flex select-none items-center gap-0.5 font-sans text-md font-medium opacity-0 transition-o\ -pacity -my-1 ${get$3(variantClasses)??""} ${className()??""}`)),append($$anchor,kbd),pop()}var root_3$g=from_html(''),root_4$c=from_html(" "),root_1$j=from_html(" ",1),root_8$c=from_html(" "),root_9$9=from_html(' '),root_7$b=from_html(" ",1),root_5$d=from_html('
          '),root_11$6=from_html("
          "),root_13$4=from_html( -'
          '),root_17$3=from_html(" "),root_18$3=from_html(" "),root_15$3=from_html("
          "),root$F=from_html('
          ');function ChatMessageMcpPromptContent($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),variant=prop($$props,"variant",19,()=>McpPromptVariant.MESSAGE),isLoading2=prop($$props,"isLoading",3,!1),hoveredArgKey=state$1(null),argumentEntries=user_derived(()=>Object.entries($$props.prompt.arguments??{})),hasArguments=user_derived(()=>$$props.prompt.arguments&&Object.keys($$props.prompt.arguments).length> -0),hasContent=user_derived(()=>$$props.prompt.content&&$$props.prompt.content.trim().length>0),contentParts=user_derived(()=>{if(!$$props.prompt.content||!get$3(hasArguments))return[{text:$$props.prompt.content||"",argKey:null}];const parts=[];let remaining=$$props.prompt.content;const valueToKey=new SvelteMap;for(const[key2,value]of get$3(argumentEntries))value&&value.trim()&&valueToKey.set(value,key2);const sortedValues=[...valueToKey.keys()].sort((a,b)=>b.length-a.length);for(;remaining.length> -0;){let earliestMatch=null;for(const value of sortedValues){const index2=remaining.indexOf(value);index2!==-1&&(earliestMatch===null||index20&&parts.push({text:remaining.slice(0,earliestMatch.index),argKey:null}),parts.push({text:earliestMatch.value,argKey:earliestMatch.key}),remaining=remaining.slice(earliestMatch.index+earliestMatch.value.length);else{parts.push({text:remaining, -argKey:null});break}}return parts}),showArgBadges=user_derived(()=>get$3(hasArguments)&&!isLoading2()&&!$$props.loadError),isAttachment=user_derived(()=>variant()===McpPromptVariant.ATTACHMENT),textSizeClass=user_derived(()=>get$3(isAttachment)?"text-xs":"text-md"),paddingClass=user_derived(()=>get$3(isAttachment)?"px-3 py-2":"px-3.75 py-2.5"),maxHeightStyle=user_derived(()=>get$3(isAttachment)?"max-height: 6rem;":"max-height: var(--max-message-height);");const serverFavicon=user_derived(()=>mcpStore. -getServerFavicon($$props.prompt.serverName)),serverDisplayName=user_derived(()=>mcpStore.getServerDisplayName($$props.prompt.serverName));var div=root$F(),div_1=child(div),div_2=child(div_1),node2=child(div_2);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment=root_1$j(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{ -var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent=$$anchor6=>{var img=root_3$g();template_effect(()=>set_attribute(img,"src",get$3(serverFavicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor6,img)};if_block(node_2,$$render=>{get$3(serverFavicon)&&$$render(consequent)})}append($$anchor5,fragment_1)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content( -$$anchor4,{children:($$anchor5,$$slotProps2)=>{var span=root_4$c(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,get$3(serverDisplayName))),append($$anchor5,span)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})});var node_4=sibling(node2,2);TruncatedText(node_4,{get text(){return $$props.prompt.name}}),reset(div_2);var node_5=sibling(div_2,2);{var consequent_1=$$anchor2=>{var div_3=root_5$d();each(div_3,21,()=>get$3(argumentEntries),([key2,value])=>key2, -($$anchor3,$$item)=>{var $$array=user_derived(()=>to_array(get$3($$item),2));let key2=()=>get$3($$array)[0],value=()=>get$3($$array)[1];var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor4,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_3=root_7$b(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{ -var span_1=root_8$c(),text_1=child(span_1,!0);reset(span_1),template_effect(()=>{set_class(span_1,1,`rounded-sm bg-purple-200/60 px-1.5 py-0.5 text-[10px] leading-none text-purple-700 transition-opacity dark:bg-purple-800/40 dark:text-purple-300 ${get$3(hoveredArgKey)&&get$3(hoveredArgKey)!==key2()?"opacity-30":""}`),set_text(text_1,key2())}),event("mouseenter",span_1,()=>set$1(hoveredArgKey,key2(),!0)),event("mouseleave",span_1,()=>set$1(hoveredArgKey,null)),append($$anchor7,span_1)},$$slots:{default:!0}})}); -var node_8=sibling(node_7,2);component(node_8,()=>Tooltip_content,($$anchor6,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span_2=root_9$9(),text_2=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_2,value())),append($$anchor7,span_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)}),reset(div_3),append($$anchor2,div_3)};if_block(node_5,$$render=>{get$3(showArgBadges)&&$$render( -consequent_1)})}reset(div_1);var node_9=sibling(div_1,2);{var consequent_2=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] border border-destructive/50 bg-destructive/10 backdrop-blur-md",children:($$anchor3,$$slotProps)=>{var div_4=root_11$6(),span_3=child(div_4),text_3=child(span_3,!0);reset(span_3),reset(div_4),template_effect(()=>{set_class(div_4,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_4,`${get$3(maxHeightStyle)??""} overflow-wrap: anywher\ -e; word-break: break-word;`),set_class(span_3,1,`${get$3(textSizeClass)??""} text-destructive`),set_text(text_3,$$props.loadError)}),append($$anchor3,div_4)},$$slots:{default:!0}})},consequent_3=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] border border-purple-200 bg-purple-500/10 px-1 py-2 backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor3,$$slotProps)=>{var div_5=root_13$4();template_effect(()=>{set_class(div_5,1,`overflow-y-aut\ -o ${get$3(paddingClass)??""}`),set_style(div_5,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`)}),append($$anchor3,div_5)},$$slots:{default:!0}})},consequent_5=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] border border-purple-200 bg-purple-500/10 py-0 text-foreground backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor3,$$slotProps)=>{var div_6=root_15$3(),span_4=child(div_6);each(span_4,21,()=>get$3(contentParts), -index$2,($$anchor4,part)=>{var fragment_7=comment$2(),node_10=first_child(fragment_7);{var consequent_4=$$anchor5=>{var span_5=root_17$3(),text_4=child(span_5,!0);reset(span_5),template_effect(()=>{set_class(span_5,1,`rounded-sm bg-purple-300/50 px-0.5 text-purple-900 transition-opacity dark:bg-purple-700/50 dark:text-purple-100 ${get$3(hoveredArgKey)&&get$3(hoveredArgKey)!==get$3(part).argKey?"opacity-30":""}`),set_text(text_4,get$3(part).text)}),event("mouseenter",span_5,()=>set$1(hoveredArgKey, -get$3(part).argKey,!0)),event("mouseleave",span_5,()=>set$1(hoveredArgKey,null)),append($$anchor5,span_5)},alternate=$$anchor5=>{var span_6=root_18$3(),text_5=child(span_6,!0);reset(span_6),template_effect(()=>{set_class(span_6,1,`transition-opacity ${get$3(hoveredArgKey)?"opacity-30":""}`),set_text(text_5,get$3(part).text)}),append($$anchor5,span_6)};if_block(node_10,$$render=>{get$3(part).argKey?$$render(consequent_4):$$render(alternate,-1)})}append($$anchor4,fragment_7)}),reset(span_4),reset( -div_6),template_effect(()=>{set_class(div_6,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_6,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`),set_class(span_4,1,`${get$3(textSizeClass)??""} whitespace-pre-wrap`)}),append($$anchor3,div_6)},$$slots:{default:!0}})};if_block(node_9,$$render=>{$$props.loadError?$$render(consequent_2):isLoading2()?$$render(consequent_3,1):get$3(hasContent)&&$$render(consequent_5,2)})}reset(div),template_effect(()=>set_class( -div,1,`flex flex-col gap-2 ${className()??""}`)),append($$anchor,div),pop()}var root_2$o=from_html(" Cancel",1),root_3$f=from_html(" Save",1),root_1$i=from_html('
          '),root_7$a=from_html("
          "),root_8$b=from_html(" "),root_9$8=from_html('
          ',1),root_11$5=from_html('
          '),root_6$a=from_html("
          ",1),root_5$c=from_html('
          '),root_13$3=from_html('
          '),root_4$b=from_html(" ",1), -root$E=from_html('
          ');function ChatMessageSystem($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null),textareaElement=prop($$props,"textareaElement",15);const editCtx=getMessageEditContext();function handleEditKeydown(event2){event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(event2)?(event2.preventDefault(),editCtx.save()):event2.key===KeyboardKey. -ESCAPE&&(event2.preventDefault(),editCtx.cancel())}let isMultiline=state$1(!1),messageElement=state$1(void 0),isExpanded=state$1(!1),contentHeight=state$1(0);const MAX_HEIGHT=200,currentConfig=config$1();let showExpandButton=user_derived(()=>get$3(contentHeight)>MAX_HEIGHT);user_effect(()=>{if(!get$3(messageElement)||!$$props.message.content.trim())return;$$props.message.content.includes(` -`)&&set$1(isMultiline,!0);const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5),set$1(contentHeight,element2.scrollHeight,!0)}});return resizeObserver.observe(get$3(messageElement)),()=>{resizeObserver.disconnect()}});function toggleExpand(){set$1(isExpanded,!get$3(isExpanded))}var div=root$E(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$i(),textarea=child(div_1);remove_textarea_child( -textarea),bind_this(textarea,$$value=>textareaElement($$value),()=>textareaElement());var div_2=sibling(textarea,2),node_1=child(div_2);Button(node_1,{class:"h-8 px-3",get onclick(){return editCtx.cancel},size:"sm",variant:"outline",children:($$anchor3,$$slotProps)=>{var fragment=root_2$o(),node_2=first_child(fragment);X(node_2,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}});var node_3=sibling(node_1,2);{let $0=user_derived(()=>!editCtx.editedContent.trim());Button( -node_3,{class:"h-8 px-3",get onclick(){return editCtx.save},get disabled(){return get$3($0)},size:"sm",children:($$anchor3,$$slotProps)=>{var fragment_1=root_3$f(),node_4=first_child(fragment_1);Check(node_4,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_2),reset(div_1),template_effect(()=>{set_value(textarea,editCtx.editedContent),set_class(textarea,1,`min-h-[60px] w-full resize-none rounded-2xl px-3 py-2 text-sm ${INPUT_CLASSES??""}`)}),delegated( -"keydown",textarea,handleEditKeydown),delegated("input",textarea,e=>editCtx.setContent(e.currentTarget.value)),append($$anchor2,div_1)},alternate_1=$$anchor2=>{var fragment_2=root_4$b(),node_5=first_child(fragment_2);{var consequent_4=$$anchor3=>{var div_3=root_5$c(),button=child(div_3),node_6=child(button);{let $0=user_derived(()=>get$3(isMultiline)?"":void 0);Card(node_6,{class:"overflow-y-auto rounded-[1.125rem] !border-2 !border-dashed !border-border/50 bg-muted px-3.75 py-1.5 data-[multilin\ -e]:py-2.5",get"data-multiline"(){return get$3($0)},style:"border: 2px dashed hsl(var(--border)); max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;",children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$a(),div_4=first_child(fragment_3),node_7=child(div_4);{var consequent_1=$$anchor5=>{var div_5=root_7$a(),node_8=child(div_5);MarkdownContent(node_8,{class:"markdown-system-content -my-4",get content(){return $$props.message.content}}),reset(div_5),bind_this( -div_5,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>set_class(div_5,1,clsx(get$3(isExpanded)?"cursor-text":""))),append($$anchor5,div_5)},alternate=$$anchor5=>{var span=root_8$b(),text2=child(span,!0);reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>{set_class(span,1,`text-md whitespace-pre-wrap ${get$3(isExpanded)?"cursor-text":""}`),set_text(text2,$$props.message.content)}),append($$anchor5, -span)};if_block(node_7,$$render=>{currentConfig.renderUserContentAsMarkdown?$$render(consequent_1):$$render(alternate,-1)})}var node_9=sibling(node_7,2);{var consequent_2=$$anchor5=>{var fragment_4=root_9$8(),div_6=sibling(first_child(fragment_4),2),node_10=child(div_6);Button(node_10,{class:"rounded-full px-4 py-1.5 text-xs shadow-md",size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{next$1();var text_1=text$8("Show full system message");append($$anchor6,text_1)},$$slots:{default:!0}}), -reset(div_6),append($$anchor5,fragment_4)};if_block(node_9,$$render=>{!get$3(isExpanded)&&get$3(showExpandButton)&&$$render(consequent_2)})}reset(div_4);var node_11=sibling(div_4,2);{var consequent_3=$$anchor5=>{var div_7=root_11$5(),node_12=child(div_7);Button(node_12,{class:"rounded-full px-4 py-1.5 text-xs",onclick:e=>{e.stopPropagation(),toggleExpand()},size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{next$1();var text_2=text$8("Collapse System Message");append($$anchor6,text_2)}, -$$slots:{default:!0}}),reset(div_7),append($$anchor5,div_7)};if_block(node_11,$$render=>{get$3(isExpanded)&&get$3(showExpandButton)&&$$render(consequent_3)})}template_effect(()=>{set_class(div_4,1,`relative transition-all duration-300 ${get$3(isExpanded)?"cursor-text select-text":"select-none"}`),set_style(div_4,!get$3(isExpanded)&&get$3(showExpandButton)?`max-height: ${MAX_HEIGHT}px;`:"max-height: none;")}),append($$anchor4,fragment_3)},$$slots:{default:!0}})}reset(button),reset(div_3),template_effect( -()=>set_class(button,1,`group/expand w-full text-left ${!get$3(isExpanded)&&get$3(showExpandButton)?"cursor-pointer":"cursor-auto"}`)),delegated("click",button,function(...$$args){(get$3(showExpandButton)&&!get$3(isExpanded)?toggleExpand:void 0)?.apply(this,$$args)}),append($$anchor3,div_3)},d2=user_derived(()=>$$props.message.content.trim());if_block(node_5,$$render=>{get$3(d2)&&$$render(consequent_4)})}var node_13=sibling(node_5,2);{var consequent_5=$$anchor3=>{var div_8=root_13$3(),node_14=child( -div_8);ChatMessageActions(node_14,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog}, -get role(){return MessageRole.USER}}),reset(div_8),append($$anchor3,div_8)};if_block(node_13,$$render=>{$$props.message.timestamp&&$$render(consequent_5)})}append($$anchor2,fragment_2)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate_1,-1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}delegate(["keydown","input","click"]);var root_3$e=from_html('
          '),root_2$n=from_html(" ",1),root$D=from_html('
          ');function ChatMessageUser($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext();var div=root$D(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$n(),node_1=first_child(fragment_1); -ChatMessageUserBubble(node_1,{get content(){return $$props.message.content},get attachments(){return $$props.message.extra},renderMarkdown:!0});var node_2=sibling(node_1,2);{var consequent_1=$$anchor3=>{var div_1=root_3$e(),node_3=child(div_1);ChatMessageActions(node_3,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){ -return $$props.onEdit},get onForkConversation(){return $$props.onForkConversation},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_1),append($$anchor3,div_1)};if_block(node_2,$$render=>{$$props.message.timestamp&&$$render(consequent_1)})}append($$anchor2,fragment_1)};if_block( -node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}function useProcessingState(){let isMonitoring=state$1(!1),lastKnownState=state$1(null),lastKnownProcessingStats=state$1(null);const processingState=user_derived(()=>get$3(isMonitoring)?activeProcessingState():get$3(lastKnownState));user_effect(()=>{get$3(processingState)&&get$3( -isMonitoring)&&set$1(lastKnownState,get$3(processingState),!0)}),user_effect(()=>{if(get$3(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed>0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3);set$1(lastKnownProcessingStats,{tokensProcessed:actualProcessed,totalTokens:actualTotal,timeMs:time_ms,tokensPerSecond},!0)}}});function getETASecs(done,total,elapsedMs){ -const elapsedSecs=elapsedMs/1e3;return done===0||elapsedSecs<.5?void 0:elapsedSecs*(total/done-1)}function startMonitoring(){get$3(isMonitoring)||set$1(isMonitoring,!0)}function stopMonitoring(){if(!get$3(isMonitoring))return;set$1(isMonitoring,!1),config$1().keepStatsVisible||(set$1(lastKnownState,null),set$1(lastKnownProcessingStats,null))}function getProcessingMessage(){if(!get$3(processingState))return"Processing...";switch(get$3(processingState).status){case"initializing":return"Initializin\ -g...";case"preparing":return get$3(processingState).progressPercent!==void 0?`Processing (${get$3(processingState).progressPercent}%)`:"Preparing response...";case"generating":return"";default:return"Processing..."}}function getProcessingDetails(){const stateToUse=get$3(processingState)||get$3(lastKnownState);if(!stateToUse)return[];const details=[];if(stateToUse.promptProgress){const{processed,total,time_ms,cache:cache2}=stateToUse.promptProgress,actualProcessed=processed-cache2,actualTotal=total- -cache2;if(actualProcessed0){const percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs(actualProcessed,actualTotal,time_ms);if(eta!==void 0){const etaSecs=Math.ceil(eta);details.push(`Processing ${percent}% (ETA: ${etaSecs}s)`)}else details.push(`Processing ${percent}%`)}}if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math.round(stateToUse.contextUsed/stateToUse.contextTotal*100); -details.push(`Context: ${stateToUse.contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`)}if(stateToUse.outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse.tokensPerSecond&&stateToUse.tokensPerSecond>0&&details.push( -`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),stateToUse.speculative&&details.push("Speculative decoding enabled"),details}function getTechnicalDetails(){const stateToUse=get$3(processingState)||get$3(lastKnownState);if(!stateToUse)return[];const details=[];if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math.round(stateToUse.contextUsed/stateToUse.contextTotal*100);details.push(`Context: ${stateToUse. -contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`)}if(stateToUse.outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse.tokensPerSecond&&stateToUse.tokensPerSecond>0&&details.push(`${stateToUse.tokensPerSecond.toFixed( -1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),stateToUse.speculative&&details.push("Speculative decoding enabled"),details}function shouldShowDetails(){return get$3(processingState)!==null&&get$3(processingState).status!=="idle"}function getPromptProgressText(){if(!get$3(processingState)?.promptProgress)return null;const{processed,total,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2,percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs( -actualProcessed,actualTotal,get$3(processingState).promptProgress.time_ms);if(eta!==void 0){const etaSecs=Math.ceil(eta);return`Processing ${percent}% (ETA: ${etaSecs}s)`}return`Processing ${percent}%`}function getLiveProcessingStats(){if(get$3(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed>0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3); -return{tokensProcessed:actualProcessed,totalTokens:actualTotal,timeMs:time_ms,tokensPerSecond}}}return get$3(lastKnownProcessingStats)}function getLiveGenerationStats(){if(!get$3(processingState))return null;const{tokensDecoded,tokensPerSecond}=get$3(processingState);if(tokensDecoded<=0)return null;const timeMs=tokensPerSecond&&tokensPerSecond>0?tokensDecoded/tokensPerSecond*1e3:0;return{tokensGenerated:tokensDecoded,timeMs,tokensPerSecond:tokensPerSecond||0}}return{get processingState(){return get$3( -processingState)},getProcessingDetails,getTechnicalDetails,getProcessingMessage,getPromptProgressText,getLiveProcessingStats,getLiveGenerationStats,shouldShowDetails,startMonitoring,stopMonitoring}}var root_1$h=from_html('
          '),root_4$a=from_html(" Cancel",1),root_5$b=from_html(" Save",1),root_2$m=from_html('
          '),root_7$9=from_html('
          '),root_9$7=from_html('
          '),root_10$4=from_html('
          '),root_11$4=from_html('
          '),root$C=from_html('
          ');function ChatMessageAssistant($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),toolMessages=prop($$props, -"toolMessages",19,()=>[]),siblingInfo=prop($$props,"siblingInfo",3,null),textareaElement=prop($$props,"textareaElement",15);const editCtx=getMessageEditContext();let shouldBranchAfterEdit=state$1(!1);function handleEditKeydown(event2){event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(event2)?(event2.preventDefault(),editCtx.save()):event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),editCtx.cancel())}const isAgentic=user_derived(()=>hasAgenticContent($$props.message,toolMessages())), -hasReasoning=user_derived(()=>!!$$props.message.reasoningContent),processingState=useProcessingState();let currentConfig=user_derived(config$1),isRouter=user_derived(isRouterMode),showRawOutput=state$1(!1),rawOutputContent=user_derived(()=>{const sections=deriveAgenticSections($$props.message,toolMessages(),[],!1),parts=[];for(const section2 of sections)switch(section2.type){case AgenticSectionType.REASONING:case AgenticSectionType.REASONING_PENDING:parts.push(`${REASONING_TAGS.START} -${section2.content} -${REASONING_TAGS.END}`);break;case AgenticSectionType.TEXT:parts.push(section2.content);break;case AgenticSectionType.TOOL_CALL:case AgenticSectionType.TOOL_CALL_PENDING:case AgenticSectionType.TOOL_CALL_STREAMING:{const callObj={name:section2.toolName};if(section2.toolArgs)try{callObj.arguments=JSON.parse(section2.toolArgs)}catch{callObj.arguments=section2.toolArgs}parts.push(JSON.stringify(callObj,null,2)),section2.toolResult&&parts.push(`[Tool Result] -${section2.toolResult}`);break}}return parts.join(` +div_7),append($$anchor11,div_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_6)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)}),reset(div_5),append($$anchor6,div_5)};if_block(node_4,$$render=>{toolsPanel.totalToolCount===0?$$render(consequent_4):$$render(alternate_2,-1)})}append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);function Switch($$anchor,$$props){push$1($$props, +!0);let ref2=prop($$props,"ref",15,null),checked=prop($$props,"checked",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","checked"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("peer inline-flex h-[1.15rem] w-8 shrink-0 cursor-pointer items-center rounded-full border border-transparent shadow-xs transition-all outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allo\ +wed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input dark:data-[state=unchecked]:bg-input/80",$$props.class));component(node2,()=>Switch$1,($$anchor2,SwitchPrimitive_Root)=>{SwitchPrimitive_Root($$anchor2,spread_props({"data-slot":"switch",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get checked(){return checked()},set checked($$value){checked($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(), +node_1=first_child(fragment_1);{let $02=user_derived(()=>cn$1("pointer-events-none block size-4 rounded-full bg-background ring-0 transition-transform data-[state=checked]:translate-x-[calc(100%-2px)] data-[state=unchecked]:translate-x-0 dark:data-[state=checked]:bg-primary-foreground dark:data-[state=unchecked]:bg-foreground"));component(node_1,()=>Switch_thumb,($$anchor4,SwitchPrimitive_Thumb)=>{SwitchPrimitive_Thumb($$anchor4,{"data-slot":"switch-thumb",get class(){return get$3($02)}})})}append( +$$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_3$N=from_html(" MCP Servers",1),root_7$o=from_html(" Manage MCP Servers",1),root_10$c=from_html('Error'),root_9$i=from_html(''),root_8$p=from_html('
          '),root_12$8=from_html(" Add MCP Servers",1),root_11$c=from_html('
          No MCP servers configured
          ',1),root_2$_=from_html(" ",1);function ChatFormActionAddMcpServersSubmenu($$anchor,$$props){push$1( +$$props,!0);let mcpSearchQuery=state$1(""),allMcpServers=user_derived(()=>mcpStore.getServersSorted()),mcpServers=user_derived(()=>get$3(allMcpServers).filter(s2=>s2.enabled)),hasMcpServers=user_derived(()=>get$3(mcpServers).length>0),filteredMcpServers=user_derived(()=>{const query=get$3(mcpSearchQuery).toLowerCase().trim();return query?get$3(mcpServers).filter(s2=>{const name=getServerLabel(s2).toLowerCase(),url2=s2.url.toLowerCase();return name.includes(query)||url2.includes(query)}):get$3(mcpServers)}); +function getServerLabel(server){return mcpStore.getServerLabel(server)}function isServerEnabledForChat(serverId){return conversationsStore.isMcpServerEnabledForChat(serverId)}async function toggleServerForChat(serverId){await conversationsStore.toggleMcpServerForChat(serverId)}function handleMcpSubMenuOpen(open2){open2&&(set$1(mcpSearchQuery,""),mcpStore.runHealthChecksForServers(get$3(allMcpServers)))}function handleMcpSettingsClick(){$$props.onMcpSettingsClick?.(),goto(`${get$3(hasMcpServers)? +"":"?add"}${ROUTES.MCP_SERVERS}`)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Sub,($$anchor4,DropdownMenu_Sub)=>{DropdownMenu_Sub($$anchor4,{onOpenChange:handleMcpSubMenuOpen,children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$_(),node_2=first_child(fragment_2);component(node_2,()=>Dropdown_menu_sub_trigger, +($$anchor6,DropdownMenu_SubTrigger)=>{DropdownMenu_SubTrigger($$anchor6,{class:"flex cursor-pointer items-center gap-2",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$N(),node_3=first_child(fragment_3);McpLogo(node_3,{class:"h-4 w-4"}),next$1(2),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Dropdown_menu_sub_content,($$anchor6,DropdownMenu_SubContent)=>{DropdownMenu_SubContent($$anchor6,{class:"w-72 pt-0",children:($$anchor7,$$slotProps3)=>{ +var fragment_4=comment$2(),node_5=first_child(fragment_4);{var consequent_1=$$anchor8=>{{const footer2=$$anchor9=>{var fragment_6=comment$2(),node_6=first_child(fragment_6);component(node_6,()=>Dropdown_menu_item,($$anchor10,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor10,{class:"flex cursor-pointer items-center gap-2",onclick:handleMcpSettingsClick,children:($$anchor11,$$slotProps4)=>{var fragment_7=root_7$o(),node_7=first_child(fragment_7);Settings$1(node_7,{class:"h-4 w-4"}),next$1(2),append( +$$anchor11,fragment_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_6)};let $0=user_derived(()=>get$3(filteredMcpServers).length===0);DropdownMenuSearchable($$anchor8,{placeholder:"Search servers...",emptyMessage:"No servers found",get isEmpty(){return get$3($0)},get searchValue(){return get$3(mcpSearchQuery)},set searchValue($$value){set$1(mcpSearchQuery,$$value,!0)},footer:footer2,children:($$anchor9,$$slotProps4)=>{var div=root_8$p();each(div,21,()=>get$3(filteredMcpServers),server=>server. +id,($$anchor10,server)=>{const healthState=user_derived(()=>mcpStore.getHealthCheckState(get$3(server).id)),hasError=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR),isEnabledForChat=user_derived(()=>isServerEnabledForChat(get$3(server).id)),displayName=user_derived(()=>getServerLabel(get$3(server))),faviconUrl=user_derived(()=>mcpStore.getServerFavicon(get$3(server).id));var button=root_9$i(),div_1=child(button),div_2=child(div_1),node_8=child(div_2);McpServerIdentity(node_8, +{get displayName(){return get$3(displayName)},get faviconUrl(){return get$3(faviconUrl)},iconClass:"h-4 w-4",iconRounded:"rounded-sm",showVersion:!1,nameClass:"text-sm"}),reset(div_2);var node_9=sibling(div_2,2);{var consequent=$$anchor11=>{var span=root_10$c();append($$anchor11,span)};if_block(node_9,$$render=>{get$3(hasError)&&$$render(consequent)})}reset(div_1);var node_10=sibling(div_1,2);Switch(node_10,{get checked(){return get$3(isEnabledForChat)},get disabled(){return get$3(hasError)},onclick:e=>e. +stopPropagation(),onCheckedChange:()=>toggleServerForChat(get$3(server).id)}),reset(button),template_effect(()=>button.disabled=get$3(hasError)),delegated("click",button,()=>!get$3(hasError)&&toggleServerForChat(get$3(server).id)),append($$anchor10,button)}),reset(div),append($$anchor9,div)},$$slots:{footer:!0,default:!0}})}},alternate=$$anchor8=>{var fragment_8=root_11$c(),node_11=sibling(first_child(fragment_8),2);component(node_11,()=>Dropdown_menu_separator,($$anchor9,DropdownMenu_Separator)=>{ +DropdownMenu_Separator($$anchor9,{})});var node_12=sibling(node_11,2);component(node_12,()=>Dropdown_menu_item,($$anchor9,DropdownMenu_Item_1)=>{DropdownMenu_Item_1($$anchor9,{class:"flex cursor-pointer items-center gap-2",onclick:handleMcpSettingsClick,children:($$anchor10,$$slotProps4)=>{var fragment_9=root_12$8(),node_13=first_child(fragment_9);Plus(node_13,{class:"h-4 w-4"}),next$1(2),append($$anchor10,fragment_9)},$$slots:{default:!0}})}),append($$anchor8,fragment_8)};if_block(node_5,$$render=>{ +get$3(hasMcpServers)?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor7,fragment_4)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);var root$1o=from_html('');function ChatFormFileInputInvisible($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),multiple=prop($$props,"multiple",3,!0),fileInputElement; +function click(){fileInputElement?.click()}function handleFileSelect(event2){const input=event2.target;input.files&&$$props.onFileSelect?.(Array.from(input.files))}var $$exports={click},input_1=root$1o();return bind_this(input_1,$$value=>fileInputElement=$$value,()=>fileInputElement),template_effect(()=>{input_1.multiple=multiple(),set_class(input_1,1,`hidden ${className()??""}`)}),delegated("change",input_1,handleFileSelect),append($$anchor,input_1),pop($$exports)}delegate(["change"]);var root_1$H=from_html( +"
          ");function ChatFormMcpResourcesList($$anchor,$$props){push$1($$props,!0);const attachments=user_derived(mcpResourceAttachments),hasAttachments=user_derived(mcpHasResourceAttachments);function handleRemove(attachmentId){mcpStore.removeResourceAttachment(attachmentId)}function handleResourceClick(uri2){$$props.onResourceClick?.(uri2)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$H(),node_1=child(div);HorizontalScrollCarousel(node_1, +{gapSize:"2",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,19,()=>get$3(attachments),attachment=>attachment.id,($$anchor4,attachment,i)=>{{let $0=user_derived(()=>get$3(i)===0?"ml-3":"");ChatAttachmentsListItemMcpResource($$anchor4,{get class(){return get$3($0)},get attachment(){return get$3(attachment)},onRemove:handleRemove,onclick:()=>handleResourceClick(get$3(attachment).resource.uri)})}}),append($$anchor3,fragment_1)},$$slots:{default:!0}}), +reset(div),template_effect(()=>set_class(div,1,clsx($$props.class))),append($$anchor2,div)};if_block(node2,$$render=>{get$3(hasAttachments)&&$$render(consequent)})}append($$anchor,fragment),pop()}var root$1n=from_html('
          ');function ChatFormTextarea($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),placeholder=prop($$props,"placeholder",3,"Ask anything..\ +."),value=prop($$props,"value",15,""),textareaElement;onMount$1(()=>{textareaElement&&(autoResizeTextarea(textareaElement),textareaElement.focus())});function getElement(){return textareaElement}function focus2(){textareaElement?.focus()}function resetHeight(){textareaElement&&(textareaElement.style.height="1rem")}var $$exports={getElement,focus:focus2,resetHeight},div=root$1n(),textarea=child(div);return remove_textarea_child(textarea),bind_this(textarea,$$value=>textareaElement=$$value,()=>textareaElement), +reset(div),template_effect(()=>{set_class(div,1,`flex-1 ${className()??""}`),set_class(textarea,1,clsx(["text-md min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0",disabled()&&"cursor-not-allowed"])),textarea.disabled=disabled(),set_attribute(textarea,"placeholder",placeholder())}),delegated("keydown",textarea,function(...$$args){$$props.onKeydown?.apply(this,$$args)}),delegated("input", +textarea,event2=>{autoResizeTextarea(event2.currentTarget),$$props.onInput?.()}),event("paste",textarea,function(...$$args){$$props.onPaste?.apply(this,$$args)}),bind_value(textarea,value),append($$anchor,div),pop($$exports)}delegate(["keydown","input"]);const badgeVariants=tv({base:"focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex w-fit shrink-0 items-center justify-center gap-\ +1 overflow-hidden whitespace-nowrap rounded-md border px-2 py-0.5 text-xs font-medium transition-[color,box-shadow] focus-visible:ring-[3px] [&>svg]:pointer-events-none [&>svg]:size-3",variants:{variant:{default:"bg-primary text-primary-foreground [a&]:hover:bg-primary/90 border-transparent",secondary:"bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90 border-transparent",tertiary:"bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25 border-transparen\ +t",destructive:"bg-destructive [a&]:hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/70 border-transparent text-white",outline:"text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground"}},defaultVariants:{variant:"default"}});function Badge($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legac\ +y","ref","href","class","variant","children"]);var fragment=comment$2(),node2=first_child(fragment);element$4(node2,()=>$$props.href?"a":"span",!1,($$element,$$anchor2)=>{bind_this($$element,$$value=>ref2($$value),()=>ref2()),attribute_effect($$element,$0=>({"data-slot":"badge",href:$$props.href,class:$0,...restProps}),[()=>cn$1(badgeVariants({variant:variant()}),$$props.class,"backdrop-blur-sm")]);var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3), +append($$anchor2,fragment_1)}),append($$anchor,fragment),pop()}var root_2$Z=from_html('
          ');function ChatFormPickerMcpPrompts($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),prompts=state$1(proxy([])),isLoading2=state$1(!1),selectedPrompt=state$1(null),promptArgs=state$1(proxy({})),selectedIndex=state$1(0),internalSearchQuery=state$1(""),promptError=state$1(null), +selectedIndexBeforeArgumentForm=state$1(null),suggestions=proxy({}),loadingSuggestions=proxy({}),activeAutocomplete=state$1(null),autocompleteIndex=state$1(0),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()?(loadPrompts(),set$1(selectedIndex,0)):(set$1(selectedPrompt,null),set$1(promptArgs,{},!0),set$1(promptError,null))}),user_effect(()=>{get$3(filteredPrompts). +length>0&&get$3(selectedIndex)>=get$3(filteredPrompts).length&&set$1(selectedIndex,0)});async function loadPrompts(){set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(prompts,[],!0);return}set$1(prompts,await mcpStore.getAllPrompts(),!0)}catch(error2){console.error("[ChatFormPickerMcpPrompts] Failed to load prompts:",error2),set$1(prompts,[],!0)}finally{set$1(isLoading2,!1)}}function handlePromptClick(prompt){ +const args=prompt.arguments??[];args.length>0?(set$1(selectedIndexBeforeArgumentForm,get$3(selectedIndex),!0),set$1(selectedPrompt,prompt,!0),set$1(promptArgs,{},!0),set$1(promptError,null),requestAnimationFrame(()=>{const firstInput=document.querySelector(`#arg-${args[0].name}`);firstInput&&firstInput.focus()})):executePrompt(prompt,{})}async function executePrompt(prompt,args){set$1(promptError,null);const placeholderId=uuid$1(),nonEmptyArgs=Object.fromEntries(Object.entries(args).filter(([,value])=>value. +trim()!=="")),argsToPass=Object.keys(nonEmptyArgs).length>0?nonEmptyArgs:void 0;$$props.onPromptLoadStart?.(placeholderId,prompt,argsToPass),$$props.onClose?.();try{const result=await mcpStore.getPrompt(prompt.serverName,prompt.name,args);$$props.onPromptLoadComplete?.(placeholderId,result)}catch(error2){const errorMessage=error2 instanceof Error?error2.message:"Unknown error executing prompt";$$props.onPromptLoadError?.(placeholderId,errorMessage)}}function handleArgumentSubmit(event2){event2.preventDefault(), +get$3(selectedPrompt)&&executePrompt(get$3(selectedPrompt),get$3(promptArgs))}const fetchCompletions=debounce(async(argName,value)=>{if(!get$3(selectedPrompt)||value.length<1){suggestions[argName]=[];return}loadingSuggestions[argName]=!0;try{const result=await mcpStore.getPromptCompletions(get$3(selectedPrompt).serverName,get$3(selectedPrompt).name,argName,value);if(result&&result.values.length>0){const filteredValues=result.values.filter(v=>v.trim()!=="");filteredValues.length>0?(suggestions[argName]= +filteredValues,set$1(activeAutocomplete,argName,!0),set$1(autocompleteIndex,0)):suggestions[argName]=[]}else suggestions[argName]=[]}catch(error2){console.error("[ChatFormPickerMcpPrompts] Failed to fetch completions:",error2),suggestions[argName]=[]}finally{loadingSuggestions[argName]=!1}},200);function handleArgInput(argName,value){get$3(promptArgs)[argName]=value,fetchCompletions(argName,value)}function selectSuggestion(argName,value){get$3(promptArgs)[argName]=value,suggestions[argName]=[],set$1( +activeAutocomplete,null)}function handleArgKeydown(event2,argName){const argSuggestions=suggestions[argName]??[];if(event2.key===KeyboardKey.ESCAPE){event2.preventDefault(),event2.stopPropagation(),handleCancelArgumentForm();return}argSuggestions.length===0||get$3(activeAutocomplete)!==argName||(event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),set$1(autocompleteIndex,Math.min(get$3(autocompleteIndex)+1,argSuggestions.length-1),!0)):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(), +set$1(autocompleteIndex,Math.max(get$3(autocompleteIndex)-1,0),!0)):event2.key===KeyboardKey.ENTER&&argSuggestions[get$3(autocompleteIndex)]&&(event2.preventDefault(),event2.stopPropagation(),selectSuggestion(argName,argSuggestions[get$3(autocompleteIndex)])))}function handleArgBlur(argName){setTimeout(()=>{get$3(activeAutocomplete)===argName&&(suggestions[argName]=[],set$1(activeAutocomplete,null))},150)}function handleArgFocus(argName){(suggestions[argName]?.length??0)>0&&set$1(activeAutocomplete, +argName,!0)}function handleCancelArgumentForm(){get$3(selectedIndexBeforeArgumentForm)!==null&&(set$1(selectedIndex,get$3(selectedIndexBeforeArgumentForm),!0),set$1(selectedIndexBeforeArgumentForm,null)),set$1(selectedPrompt,null),set$1(promptArgs,{},!0),set$1(promptError,null)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2.preventDefault(),get$3(selectedPrompt)?handleCancelArgumentForm():$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2. +preventDefault(),get$3(filteredPrompts).length>0&&set$1(selectedIndex,(get$3(selectedIndex)+1)%get$3(filteredPrompts).length),!0):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),get$3(filteredPrompts).length>0&&set$1(selectedIndex,get$3(selectedIndex)===0?get$3(filteredPrompts).length-1:get$3(selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER&&!get$3(selectedPrompt)?(event2.preventDefault(),get$3(filteredPrompts)[get$3(selectedIndex)]&&handlePromptClick(get$3(filteredPrompts)[get$3( +selectedIndex)]),!0):!1:!1}let filteredPrompts=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(sortedServers.map((server,index2)=>[server.id,index2])),sortedPrompts=[...get$3(prompts)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap.get(b.serverName)??Number.MAX_SAFE_INTEGER;return orderA-orderB}),query=(searchQuery()||get$3(internalSearchQuery)).toLowerCase();return query?sortedPrompts.filter(prompt=>prompt. +name.toLowerCase().includes(query)||prompt.title?.toLowerCase().includes(query)||prompt.description?.toLowerCase().includes(query)):sortedPrompts}),showSearchInput=user_derived(()=>get$3(prompts).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover($$anchor,{get class(){return className()},srLabel:"Open prompt picker",get onClose(){return $$props.onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){isOpen($$value)},children:($$anchor2,$$slotProps)=>{ +var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent_1=$$anchor3=>{const prompt=user_derived(()=>get$3(selectedPrompt)),server=user_derived(()=>get$3(serverSettingsMap).get(get$3(prompt).serverName)),serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):get$3(prompt).serverName);var div=root_2$Z(),node_1=child(div);{const titleExtra=$$anchor4=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor5=>{Badge($$anchor5,{variant:"\ +secondary",children:($$anchor6,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,`${get$3(prompt).arguments.length??""} arg${get$3(prompt).arguments.length>1?"s":""}`)),append($$anchor6,text2)},$$slots:{default:!0}})};if_block(node_2,$$render=>{get$3(prompt).arguments?.length&&$$render(consequent)})}append($$anchor4,fragment_2)};let $0=user_derived(()=>get$3(prompt).title||get$3(prompt).name);ChatFormPickerItemHeader(node_1,{get server(){return get$3(server)},get serverLabel(){ +return get$3(serverLabel)},get title(){return get$3($0)},get description(){return get$3(prompt).description},titleExtra,$$slots:{titleExtra:!0}})}var node_3=sibling(node_1,2);ChatFormPromptPickerArgumentForm(node_3,{get prompt(){return get$3(selectedPrompt)},get promptArgs(){return get$3(promptArgs)},get suggestions(){return suggestions},get loadingSuggestions(){return loadingSuggestions},get activeAutocomplete(){return get$3(activeAutocomplete)},get autocompleteIndex(){return get$3(autocompleteIndex)}, +get promptError(){return get$3(promptError)},onArgInput:handleArgInput,onArgKeydown:handleArgKeydown,onArgBlur:handleArgBlur,onArgFocus:handleArgFocus,onSelectSuggestion:selectSuggestion,onSubmit:handleArgumentSubmit,onCancel:handleCancelArgumentForm}),reset(div),append($$anchor3,div)},alternate=$$anchor3=>{ChatFormPickerList($$anchor3,{get items(){return get$3(filteredPrompts)},get isLoading(){return get$3(isLoading2)},get selectedIndex(){return get$3(selectedIndex)},get showSearchInput(){return get$3( +showSearchInput)},searchPlaceholder:"Search prompts...",emptyMessage:"No MCP prompts available",itemKey:prompt=>prompt.serverName+":"+prompt.name,get searchQuery(){return get$3(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,$$value,!0)},item:($$anchor4,prompt=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$3(serverSettingsMap).get(prompt().serverName)),serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):prompt(). +serverName);ChatFormPickerListItem($$anchor4,{get dataIndex(){return index2()},get isSelected(){return isSelected()},onclick:()=>handlePromptClick(prompt()),children:($$anchor5,$$slotProps2)=>{{const titleExtra=$$anchor6=>{var fragment_8=comment$2(),node_4=first_child(fragment_8);{var consequent_2=$$anchor7=>{Badge($$anchor7,{variant:"secondary",children:($$anchor8,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,`${prompt().arguments.length??""} arg${prompt().arguments. +length>1?"s":""}`)),append($$anchor8,text_1)},$$slots:{default:!0}})};if_block(node_4,$$render=>{prompt().arguments?.length&&$$render(consequent_2)})}append($$anchor6,fragment_8)};let $0=user_derived(()=>prompt().title||prompt().name);ChatFormPickerItemHeader($$anchor5,{get server(){return get$3(server)},get serverLabel(){return get$3(serverLabel)},get title(){return get$3($0)},get description(){return prompt().description},titleExtra,$$slots:{titleExtra:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor4=>{ +ChatFormPickerListItemSkeleton($$anchor4,{titleWidth:"w-32",showBadge:!0})},$$slots:{item:!0,skeleton:!0}})};if_block(node2,$$render=>{get$3(selectedPrompt)?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop($$exports)}function Label($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived( +()=>cn$1("flex items-center gap-2 text-sm leading-none font-medium select-none group-data-[disabled=true]:pointer-events-none group-data-[disabled=true]:opacity-50 peer-disabled:cursor-not-allowed peer-disabled:opacity-50",$$props.class));component(node2,()=>Label$1,($$anchor2,LabelPrimitive_Root)=>{LabelPrimitive_Root($$anchor2,spread_props({"data-slot":"label",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()} +var root_2$Y=from_html('*'),root_3$M=from_html('...'),root_1$G=from_html(" ",1),root_5$q=from_html(''),root_4$x=from_html('
          '),root$1m=from_html('
          ');function ChatFormPromptPickerArgumentInput($$anchor,$$props){ +push$1($$props,!0);let value=prop($$props,"value",3,""),suggestions=prop($$props,"suggestions",19,()=>[]),isLoadingSuggestions=prop($$props,"isLoadingSuggestions",3,!1),isAutocompleteActive=prop($$props,"isAutocompleteActive",3,!1),autocompleteIndex=prop($$props,"autocompleteIndex",3,0);var div=root$1m(),node2=child(div);Label(node2,{get for(){return`arg-${$$props.argument.name??""}`},class:"mb-1 text-muted-foreground",children:($$anchor2,$$slotProps)=>{var fragment=root_1$G(),span=first_child(fragment), +text2=child(span),node_1=sibling(text2);{var consequent=$$anchor3=>{var span_1=root_2$Y();append($$anchor3,span_1)};if_block(node_1,$$render=>{$$props.argument.required&&$$render(consequent)})}reset(span);var node_2=sibling(span,2);{var consequent_1=$$anchor3=>{var span_2=root_3$M();append($$anchor3,span_2)};if_block(node_2,$$render=>{isLoadingSuggestions()&&$$render(consequent_1)})}template_effect(()=>set_text(text2,`${$$props.argument.name??""} `)),append($$anchor2,fragment)},$$slots:{default:!0}}); +var node_3=sibling(node2,2);{let $0=user_derived(()=>$$props.argument.description||$$props.argument.name);Input(node_3,{get id(){return`arg-${$$props.argument.name??""}`},type:"text",get value(){return value()},oninput:e=>$$props.onInput(e.currentTarget.value),get onkeydown(){return $$props.onKeydown},get onblur(){return $$props.onBlur},get onfocus(){return $$props.onFocus},get placeholder(){return get$3($0)},get required(){return $$props.argument.required},autocomplete:"off"})}var node_4=sibling( +node_3,2);{var consequent_2=$$anchor2=>{var div_1=root_4$x();each(div_1,22,suggestions,suggestion=>suggestion,($$anchor3,suggestion,i)=>{var button=root_5$q(),text_1=child(button,!0);reset(button),template_effect(()=>{set_class(button,1,`w-full px-3 py-1.5 text-left text-sm hover:bg-accent ${get$3(i)===autocompleteIndex()?"bg-accent":""}`),set_text(text_1,suggestion)}),delegated("mousedown",button,()=>$$props.onSelectSuggestion(suggestion)),append($$anchor3,button)}),reset(div_1),transition(3,div_1, +()=>fly,()=>({y:-5,duration:100})),append($$anchor2,div_1)};if_block(node_4,$$render=>{isAutocompleteActive()&&suggestions().length>0&&$$render(consequent_2)})}reset(div),append($$anchor,div),pop()}delegate(["mousedown"]);var root_2$X=from_html(''),root$1l=from_html('
          \ +
          ');function ChatFormPromptPickerArgumentForm($$anchor,$$props){push$1($$props,!0);var form=root$1l(),node2=child(form);each(node2,17,()=>$$props.prompt.arguments??[],arg=>arg.name,($$anchor2,arg)=>{{let $0=user_derived(()=>$$props.promptArgs[get$3(arg).name]??""),$1=user_derived(()=>$$props.suggestions[get$3(arg).name]??[]),$2=user_derived(()=>$$props.loadingSuggestions[get$3(arg).name]??!1),$3=user_derived(()=>$$props.activeAutocomplete=== +get$3(arg).name),$4=user_derived(()=>$$props.activeAutocomplete===get$3(arg).name?$$props.autocompleteIndex:0);ChatFormPromptPickerArgumentInput($$anchor2,{get argument(){return get$3(arg)},get value(){return get$3($0)},get suggestions(){return get$3($1)},get isLoadingSuggestions(){return get$3($2)},get isAutocompleteActive(){return get$3($3)},get autocompleteIndex(){return get$3($4)},onInput:value=>$$props.onArgInput(get$3(arg).name,value),onKeydown:e=>$$props.onArgKeydown(e,get$3(arg).name),onBlur:()=>$$props. +onArgBlur(get$3(arg).name),onFocus:()=>$$props.onArgFocus(get$3(arg).name),onSelectSuggestion:value=>$$props.onSelectSuggestion(get$3(arg).name,value)})}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div=root_2$X(),span=sibling(child(div),2),text2=child(span,!0);reset(span),reset(div),template_effect(()=>set_text(text2,$$props.promptError)),append($$anchor2,div)};if_block(node_1,$$render=>{$$props.promptError&&$$render(consequent)})}var div_1=sibling(node_1,2),node_2=child(div_1); +Button(node_2,{type:"button",size:"sm",get onclick(){return $$props.onCancel},variant:"secondary",children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8("Cancel");append($$anchor2,text_1)},$$slots:{default:!0}});var node_3=sibling(node_2,2);Button(node_3,{size:"sm",type:"submit",children:($$anchor2,$$slotProps)=>{next$1();var text_2=text$8("Use Prompt");append($$anchor2,text_2)},$$slots:{default:!0}}),reset(div_1),reset(form),event("submit",form,function(...$$args){$$props.onSubmit?.apply( +this,$$args)}),append($$anchor,form),pop()}function Popover($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","open"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover$1,($$anchor2,PopoverPrimitive_Root)=>{PopoverPrimitive_Root($$anchor2,spread_props(()=>restProps,{get open(){return open2()},set open($$value){open2($$value)}}))}),append($$anchor,fragment),pop()}function Popover_portal($$anchor,$$props){ +let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,PopoverPrimitive_Portal)=>{PopoverPrimitive_Portal($$anchor2,spread_props(()=>restProps))}),append($$anchor,fragment)}function Popover_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),align=prop($$props,"align",3,"center"),collisionPadding=prop($$props,"collisionP\ +adding",3,8),avoidCollisions=prop($$props,"avoidCollisions",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","side","align","collisionPadding","avoidCollisions","portalProps"]);Popover_portal($$anchor,spread_props(()=>$$props.portalProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 w-72 origin-(--bits-popover-content-transform-origin) rounded-md border bg-popover p-4 \ +text-popover-foreground shadow-md outline-hidden data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-end-2 data-[side=right]:slide-in-from-start-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95",$$props.class));component(node2,()=>Popover_content$1,($$anchor3,PopoverPrimitive_Content)=>{ +PopoverPrimitive_Content($$anchor3,spread_props({"data-slot":"popover-content",get sideOffset(){return sideOffset()},get side(){return $$props.side},get align(){return align()},get collisionPadding(){return collisionPadding()},get avoidCollisions(){return avoidCollisions()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Popover_trigger($$anchor,$$props){push$1($$props, +!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("",$$props.class));component(node2,()=>Popover_trigger$1,($$anchor2,PopoverPrimitive_Trigger)=>{PopoverPrimitive_Trigger($$anchor2,spread_props({"data-slot":"popover-trigger",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor, +fragment),pop()}var root_2$W=from_html(' '),root_1$F=from_html(" ",1);function ChatFormPickerPopover($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",15,!1),srLabel=prop($$props,"srLabel",3,"Open picker");var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover,($$anchor2,Popover_Root)=>{Popover_Root($$anchor2,{onOpenChange:open2=>{open2||$$props.onClose?.()},get open(){return isOpen()}, +set open($$value){isOpen($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$F(),node_1=first_child(fragment_1);component(node_1,()=>Popover_trigger,($$anchor4,Popover_Trigger)=>{Popover_Trigger($$anchor4,{class:"pointer-events-none absolute inset-0 opacity-0",tabindex:-1,"aria-hidden":"true",children:($$anchor5,$$slotProps2)=>{var span=root_2$W(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,srLabel())),append($$anchor5,span)},$$slots:{default:!0}})});var node_2=sibling( +node_1,2);component(node_2,()=>Popover_content,($$anchor4,Popover_Content)=>{Popover_Content($$anchor4,{side:"top",align:"start",sideOffset:12,get class(){return`w-[var(--bits-popover-anchor-width)] max-w-none rounded-xl border-border/50 p-0 shadow-xl ${className()??""}`},get onkeydown(){return $$props.onKeydown},onOpenAutoFocus:event2=>event2.preventDefault(),children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children),append( +$$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_2$V=from_html('
          '),root_5$p=from_html('
          '),root_1$E=from_html("
          ",1);function ChatFormPickerList($$anchor,$$props){push$1($$props,!0);let searchQuery=prop($$props,"searchQuery",15),searchPlaceholder=prop( +$$props,"searchPlaceholder",3,"Search..."),emptyMessage=prop($$props,"emptyMessage",3,"No items available"),listContainer=state$1(null);user_effect(()=>{if(get$3(listContainer)&&$$props.selectedIndex>=0&&$$props.selectedIndex<$$props.items.length){const selectedElement=get$3(listContainer).querySelector(`[data-picker-index="${$$props.selectedIndex}"]`);selectedElement&&selectedElement.scrollIntoView({behavior:"smooth",block:"center",inline:"nearest"})}}),Scroll_area($$anchor,{children:($$anchor2,$$slotProps)=>{ +var fragment_1=root_1$E(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var div=root_2$V(),node_1=child(div);SearchInput(node_1,{get placeholder(){return searchPlaceholder()},get value(){return searchQuery()},set value($$value){searchQuery($$value)}}),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.showSearchInput&&$$render(consequent)})}var div_1=sibling(node2,2),node_2=child(div_1);{var consequent_2=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2); +{var consequent_1=$$anchor4=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);snippet(node_4,()=>$$props.skeleton),append($$anchor4,fragment_3)};if_block(node_3,$$render=>{$$props.skeleton&&$$render(consequent_1)})}append($$anchor3,fragment_2)},consequent_3=$$anchor3=>{var div_2=root_5$p(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor3,div_2)},alternate=$$anchor3=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);each(node_5, +19,()=>$$props.items,(itemData,index2)=>$$props.itemKey(itemData,index2),($$anchor4,itemData,index2)=>{var fragment_5=comment$2(),node_6=first_child(fragment_5);snippet(node_6,()=>$$props.item,()=>get$3(itemData),()=>get$3(index2),()=>get$3(index2)===$$props.selectedIndex),append($$anchor4,fragment_5)}),append($$anchor3,fragment_4)};if_block(node_2,$$render=>{$$props.isLoading?$$render(consequent_2):$$props.items.length===0?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_1),bind_this( +div_1,$$value=>set$1(listContainer,$$value),()=>get$3(listContainer));var node_7=sibling(div_1,2);{var consequent_4=$$anchor3=>{var fragment_6=comment$2(),node_8=first_child(fragment_6);snippet(node_8,()=>$$props.footer),append($$anchor3,fragment_6)};if_block(node_7,$$render=>{$$props.footer&&$$render(consequent_4)})}template_effect(()=>set_class(div_1,1,clsx([`${CHAT_FORM_POPOVER_MAX_HEIGHT} p-2`,$$props.showSearchInput&&"pt-13"]))),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root$1k=from_html( +'');function ChatFormPickerListItem($$anchor,$$props){let isSelected=prop($$props,"isSelected",3,!1);var button=root$1k(),node2=child(button);snippet(node2,()=>$$props.children),reset(button),template_effect(()=>{set_attribute(button,"data-picker-index",$$props.dataIndex),set_class(button,1,`flex w-full cursor-pointer items-start gap-3 rounded-lg px-3 py-2 text-left hover:bg-accent/50 ${isSelected()?"bg-accent/50":""}`)}),delegated("click",button,function(...$$args){ +$$props.onclick?.apply(this,$$args)}),append($$anchor,button)}delegate(["click"]);var root_1$D=from_html(''),root_3$L=from_html('

          '),root$1j=from_html('
          ');function ChatFormPickerItemHeader($$anchor,$$props){ +push$1($$props,!0);let faviconUrl=user_derived(()=>$$props.server?mcpStore.getServerFavicon($$props.server.id):null);var div=root$1j(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var img=root_1$D();template_effect(()=>set_attribute(img,"src",get$3(faviconUrl))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor2,img)};if_block(node2,$$render=>{get$3(faviconUrl)&&$$render(consequent)})}var span=sibling(node2,2),text2=child(span,!0); +reset(span),reset(div_1);var div_2=sibling(div_1,2),span_1=child(div_2),text_1=child(span_1,!0);reset(span_1);var node_1=sibling(span_1,2);{var consequent_1=$$anchor2=>{var fragment=comment$2(),node_2=first_child(fragment);snippet(node_2,()=>$$props.titleExtra),append($$anchor2,fragment)};if_block(node_1,$$render=>{$$props.titleExtra&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{var p2=root_3$L(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text( +text_2,$$props.description)),append($$anchor2,p2)};if_block(node_3,$$render=>{$$props.description&&$$render(consequent_2)})}var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_5=first_child(fragment_1);snippet(node_5,()=>$$props.subtitle),append($$anchor2,fragment_1)};if_block(node_4,$$render=>{$$props.subtitle&&$$render(consequent_3)})}reset(div),template_effect(()=>{set_text(text2,$$props.serverLabel),set_text(text_1,$$props.title)}),append($$anchor,div), +pop()}var root_1$C=from_html('
          '),root$1i=from_html('
          ');function ChatFormPickerListItemSkeleton($$anchor,$$props){let titleWidth=prop($$props,"titleWidth",3,"w-48"),showBadge=prop($$props,"showBadge",3,!1);var div=root$1i(),div_1=child(div),div_2=sibling(child(div_1),2),div_3=child(div_2),node2=sibling(div_3,2);{var consequent=$$anchor2=>{var div_4=root_1$C();append($$anchor2,div_4)};if_block(node2,$$render=>{showBadge()&&$$render(consequent)})}reset(div_2),next$1(2),reset(div_1),reset(div),template_effect(()=>set_class( +div_3,1,`h-4 ${titleWidth()??""} animate-pulse rounded bg-muted`)),append($$anchor,div)}var root_5$o=from_html('attached'),root_6$p=from_html('

          '),root_10$b=from_html(" Browse all",1);function ChatFormPickerMcpResources($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop( +$$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),resources=state$1(proxy([])),isLoading2=state$1(!1),selectedIndex=state$1(0),internalSearchQuery=state$1(""),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()&&(loadResources(),set$1(selectedIndex,0))}),user_effect(()=>{get$3(filteredResources).length>0&&get$3(selectedIndex)>=get$3(filteredResources). +length&&set$1(selectedIndex,0)});async function loadResources(){set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(resources,[],!0);return}await mcpStore.fetchAllResources(),set$1(resources,mcpResourceStore.getAllResourceInfos(),!0)}catch(error2){console.error("[ChatFormPickerMcpResources] Failed to load resources:",error2),set$1(resources,[],!0)}finally{set$1(isLoading2,!1)}}function handleResourceClick(resource){ +mcpStore.attachResource(resource.uri),$$props.onResourceSelect?.(resource),$$props.onClose?.()}function isResourceAttached(uri2){return mcpResourceStore.isAttached(uri2)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2.preventDefault(),$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),get$3(filteredResources).length>0&&set$1(selectedIndex,(get$3(selectedIndex)+1)%get$3(filteredResources).length),!0):event2.key===KeyboardKey. +ARROW_UP?(event2.preventDefault(),get$3(filteredResources).length>0&&set$1(selectedIndex,get$3(selectedIndex)===0?get$3(filteredResources).length-1:get$3(selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER?(event2.preventDefault(),get$3(filteredResources)[get$3(selectedIndex)]&&handleResourceClick(get$3(filteredResources)[get$3(selectedIndex)]),!0):!1:!1}let filteredResources=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(sortedServers.map((server,index2)=>[ +server.id,index2])),sortedResources=[...get$3(resources)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap.get(b.serverName)??Number.MAX_SAFE_INTEGER;return orderA-orderB}),query=(searchQuery()||get$3(internalSearchQuery)).toLowerCase();return query?sortedResources.filter(resource=>resource.name.toLowerCase().includes(query)||resource.title?.toLowerCase().includes(query)||resource.description?.toLowerCase().includes(query)||resource.uri.toLowerCase(). +includes(query)):sortedResources}),showSearchInput=user_derived(()=>get$3(resources).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover($$anchor,{get class(){return className()},srLabel:"Open resource picker",get onClose(){return $$props.onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){isOpen($$value)},children:($$anchor2,$$slotProps)=>{ChatFormPickerList($$anchor2,{get items(){return get$3(filteredResources)},get isLoading(){return get$3(isLoading2)}, +get selectedIndex(){return get$3(selectedIndex)},get showSearchInput(){return get$3(showSearchInput)},searchPlaceholder:"Search resources...",emptyMessage:"No MCP resources available",itemKey:resource=>resource.serverName+":"+resource.uri,get searchQuery(){return get$3(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,$$value,!0)},item:($$anchor3,resource=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$3(serverSettingsMap).get(resource().serverName)), +serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):resource().serverName);ChatFormPickerListItem($$anchor3,{get dataIndex(){return index2()},get isSelected(){return isSelected()},onclick:()=>handleResourceClick(resource()),children:($$anchor4,$$slotProps2)=>{{const titleExtra=$$anchor5=>{var fragment_4=comment$2(),node2=first_child(fragment_4);{var consequent=$$anchor6=>{var span=root_5$o();append($$anchor6,span)},d2=user_derived(()=>isResourceAttached(resource().uri)); +if_block(node2,$$render=>{get$3(d2)&&$$render(consequent)})}append($$anchor5,fragment_4)},subtitle=$$anchor5=>{var p2=root_6$p(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,resource().uri)),append($$anchor5,p2)};let $0=user_derived(()=>resource().title||resource().name);ChatFormPickerItemHeader($$anchor4,{get server(){return get$3(server)},get serverLabel(){return get$3(serverLabel)},get title(){return get$3($0)},get description(){return resource().description},titleExtra,subtitle, +$$slots:{titleExtra:!0,subtitle:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor3=>{ChatFormPickerListItemSkeleton($$anchor3,{})},footer:$$anchor3=>{var fragment_6=comment$2(),node_1=first_child(fragment_6);{var consequent_1=$$anchor4=>{Button($$anchor4,{class:"fixed right-3 bottom-3",type:"button",get onclick(){return $$props.onBrowse},variant:"secondary",size:"sm",children:($$anchor5,$$slotProps2)=>{var fragment_8=root_10$b(),node_2=first_child(fragment_8);Folder_open(node_2,{class:"h-3 w-3"}), +next$1(),append($$anchor5,fragment_8)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.onBrowse&&get$3(resources).length>3&&$$render(consequent_1)})}append($$anchor3,fragment_6)},$$slots:{item:!0,skeleton:!0,footer:!0}})},$$slots:{default:!0}}),pop($$exports)}var root$1h=from_html(" ",1);function ChatFormPickers($$anchor,$$props){push$1($$props,!0);let promptPickerRef=state$1(void 0),resourcePickerRef=state$1(void 0);function handleKeydown(event2){return!!($$props.isPromptPickerOpen&& +get$3(promptPickerRef)?.handleKeydown(event2)||$$props.isInlineResourcePickerOpen&&get$3(resourcePickerRef)?.handleKeydown(event2))}var $$exports={handleKeydown},fragment=root$1h(),node2=first_child(fragment);bind_this(ChatFormPickerMcpPrompts(node2,{get isOpen(){return $$props.isPromptPickerOpen},get searchQuery(){return $$props.promptSearchQuery},get onClose(){return $$props.onPromptPickerClose},get onPromptLoadStart(){return $$props.onPromptLoadStart},get onPromptLoadComplete(){return $$props. +onPromptLoadComplete},get onPromptLoadError(){return $$props.onPromptLoadError}}),$$value=>set$1(promptPickerRef,$$value,!0),()=>get$3(promptPickerRef));var node_1=sibling(node2,2);return bind_this(ChatFormPickerMcpResources(node_1,{get isOpen(){return $$props.isInlineResourcePickerOpen},get searchQuery(){return $$props.resourceSearchQuery},get onClose(){return $$props.onInlineResourcePickerClose},get onResourceSelect(){return $$props.onInlineResourceSelect},get onBrowse(){return $$props.onInlineResourceBrowse}}), +$$value=>set$1(resourcePickerRef,$$value,!0),()=>get$3(resourcePickerRef)),append($$anchor,fragment),pop($$exports)}const MESSAGE_EDIT_KEY=Symbol.for(CONTEXT_KEY_MESSAGE_EDIT);function setMessageEditContext(ctx){return setContext(MESSAGE_EDIT_KEY,ctx)}function getMessageEditContext(){return getContext(MESSAGE_EDIT_KEY)}const CHAT_ACTIONS_KEY=Symbol.for(CONTEXT_KEY_CHAT_ACTIONS);function setChatActionsContext(ctx){return setContext(CHAT_ACTIONS_KEY,ctx)}function getChatActionsContext(){return getContext( +CHAT_ACTIONS_KEY)}const CHAT_SETTINGS_CONFIG_KEY=Symbol.for(CONTEXT_KEY_CHAT_SETTINGS_CONFIG);function setChatSettingsConfigContext(ctx){return setContext(CHAT_SETTINGS_CONFIG_KEY,ctx)}const PROCESSING_INFO_KEY=Symbol.for(CONTEXT_KEY_PROCESSING_INFO);function setProcessingInfoContext(ctx){return setContext(PROCESSING_INFO_KEY,ctx)}function getProcessingInfoContext(){return getContext(PROCESSING_INFO_KEY)}var root$1g=from_html("
          ");function ChatMessages($$anchor,$$props){push$1($$props, +!0);let messages=prop($$props,"messages",19,()=>[]),allConversationMessages=state$1(proxy([])),isVisible=state$1(!1),previousConversationId=state$1(null);const currentConfig=config$1();setChatActionsContext({copy:async message=>{const asPlainText=!!currentConfig.copyTextAttachmentsAsPlainText,clipboardContent=formatMessageForClipboard(message.content,message.extra,asPlainText);await copyToClipboard(clipboardContent,"Message copied to clipboard")},delete:async message=>{await chatStore.deleteMessage( +message.id),refreshAllMessages()},navigateToSibling:async siblingId=>{await conversationsStore.navigateToSibling(siblingId)},editWithBranching:async(message,newContent,newExtras)=>{$$props.onUserAction?.(),await chatStore.editMessageWithBranching(message.id,newContent,newExtras),refreshAllMessages()},editWithReplacement:async(message,newContent,shouldBranch)=>{$$props.onUserAction?.(),await chatStore.editAssistantMessage(message.id,newContent,shouldBranch),refreshAllMessages()},editUserMessagePreserveResponses:async(message,newContent,newExtras)=>{ +$$props.onUserAction?.(),await chatStore.editUserMessagePreserveResponses(message.id,newContent,newExtras),refreshAllMessages()},regenerateWithBranching:async(message,modelOverride)=>{$$props.onUserAction?.(),await chatStore.regenerateMessageWithBranching(message.id,modelOverride),refreshAllMessages()},continueAssistantMessage:async message=>{$$props.onUserAction?.(),await chatStore.continueAssistantMessage(message.id),refreshAllMessages()},forkConversation:async(message,options)=>{await conversationsStore. +forkConversation(message.id,options)}});function refreshAllMessages(){const conversation=activeConversation();conversation?conversationsStore.getConversationMessages(conversation.id).then(messages2=>{set$1(allConversationMessages,messages2,!0)}):set$1(allConversationMessages,[],!0)}user_effect(()=>{const conversation=activeConversation(),currentId=conversation?.id??null;currentId!==get$3(previousConversationId)&&get$3(previousConversationId)!==null?(set$1(isVisible,!1),requestAnimationFrame(()=>{ +refreshAllMessages(),set$1(previousConversationId,currentId,!0),requestAnimationFrame(()=>{set$1(isVisible,!0)})})):(set$1(previousConversationId,currentId,!0),conversation&&refreshAllMessages())}),user_effect(()=>{get$3(allConversationMessages),$$props.onMessagesReady?.(get$3(displayMessages).length)}),onMount$1(()=>{requestAnimationFrame(()=>{set$1(isVisible,!0)})}),beforeNavigate(()=>{set$1(isVisible,!1)}),afterNavigate(()=>{requestAnimationFrame(()=>{set$1(isVisible,!0)})});let displayMessages=user_derived( +()=>{if(!messages().length)return[];const filteredMessages=currentConfig.showSystemMessage?messages():messages().filter(msg=>msg.type!==MessageRole.SYSTEM),result=[];for(let i=0;i=0;i--)if(result[i].message.role===MessageRole.ASSISTANT){result[i].isLastAssistantMessage=!0;break}return result});var div=root$1g(),node2=child(div);each(node2,17,()=>get$3(displayMessages),({message,toolMessages,isLastAssistantMessage,siblingInfo})=>message.id,($$anchor2,$$item)=>{let message=()=>get$3($$item).message,toolMessages=()=>get$3($$item).toolMessages,isLastAssistantMessage=()=>get$3($$item).isLastAssistantMessage,siblingInfo=()=>get$3($$item).siblingInfo;ChatMessage($$anchor2,{ +class:"mx-auto mt-12 w-full max-w-[48rem]",get message(){return message()},get toolMessages(){return toolMessages()},get isLastAssistantMessage(){return isLastAssistantMessage()},get siblingInfo(){return siblingInfo()}})});var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{const convId=user_derived(()=>activeConversation().id),pendingContent=user_derived(()=>agenticPendingSteeringMessageContent(get$3(convId)));var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent=$$anchor3=>{ +{let $0=user_derived(()=>agenticPendingSteeringMessageExtras(get$3(convId)));ChatMessageUserPending($$anchor3,{class:"mx-auto mt-12 w-full max-w-[48rem]",get content(){return get$3(pendingContent)},get extras(){return get$3($0)},onSendImmediately:()=>chatStore.abortCurrentFlow(get$3(convId)),onEdit:(newContent,extras)=>agenticInjectSteeringMessage(get$3(convId),newContent,extras),onDelete:()=>agenticClearSteeringMessage(get$3(convId))})}};if_block(node_2,$$render=>{get$3(pendingContent)&&$$render( +consequent)})}append($$anchor2,fragment_1)},d2=user_derived(()=>activeConversation()&&agenticPendingSteeringMessageContent(activeConversation().id)),consequent_3=$$anchor2=>{const convId=user_derived(()=>activeConversation().id),pendingContent=user_derived(()=>chatPendingMessageContent(get$3(convId)));var fragment_3=comment$2(),node_3=first_child(fragment_3);{var consequent_2=$$anchor3=>{{let $0=user_derived(()=>chatPendingMessageExtras(get$3(convId)));ChatMessageUserPending($$anchor3,{class:"mx\ +-auto mt-12 w-full max-w-[48rem]",get content(){return get$3(pendingContent)},get extras(){return get$3($0)},onSendImmediately:()=>chatStore.abortCurrentFlow(get$3(convId)),onEdit:(newContent,extras)=>chatInjectPendingMessage(get$3(convId),newContent,extras),onDelete:()=>chatClearPendingMessage(get$3(convId))})}};if_block(node_3,$$render=>{get$3(pendingContent)&&$$render(consequent_2)})}append($$anchor2,fragment_3)},d_12=user_derived(()=>activeConversation()&&chatPendingMessageContent(activeConversation(). +id));if_block(node_1,$$render=>{get$3(d2)?$$render(consequent_1):get$3(d_12)&&$$render(consequent_3,1)})}reset(div),template_effect(()=>set_class(div,1,`transition-opacity delay-300 duration-500 ease-out + ${get$3(isVisible)?"opacity-100":"opacity-0"}`)),append($$anchor,div),pop()}function isElementInViewport(node2){const rect=node2.getBoundingClientRect();return rect.top0&&rect.left0}function fadeInView(node2,options={}){const{duration:duration2=300,y=0,skipIfVisible=!1}=options;skipIfVisible&&isElementInViewport(node2)||(node2.style.opacity="0",node2.style.transform=`translateY(${y}px)`,node2.style.transition=`opacity ${duration2}\ +ms ease-out, transform ${duration2}ms ease-out`,user_effect(()=>{const observer=new IntersectionObserver(entries=>{for(const entry of entries)entry.isIntersecting&&(requestAnimationFrame(()=>{node2.style.opacity="1",node2.style.transform="translateY(0)"}),observer.disconnect())},{threshold:.05});return observer.observe(node2),()=>{observer.disconnect()}}))}var root$1f=from_html("
          ");function ChatMessage($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),toolMessages=prop( +$$props,"toolMessages",19,()=>[]),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),siblingInfo=prop($$props,"siblingInfo",3,null);const chatActions=getChatActionsContext();let deletionInfo=state$1(null),editedContent=user_derived(()=>$$props.message.content),rawEditContent=user_derived(()=>{if($$props.message.role!==MessageRole.ASSISTANT)return;const sections=deriveAgenticSections($$props.message,toolMessages(),[],!1),parts=[];for(const section of sections)switch(section.type){case AgenticSectionType. +REASONING:case AgenticSectionType.REASONING_PENDING:parts.push(`${REASONING_TAGS.START} +${section.content} +${REASONING_TAGS.END}`);break;case AgenticSectionType.TEXT:parts.push(section.content);break;case AgenticSectionType.TOOL_CALL:case AgenticSectionType.TOOL_CALL_PENDING:case AgenticSectionType.TOOL_CALL_STREAMING:{const callObj={name:section.toolName};if(section.toolArgs)try{callObj.arguments=JSON.parse(section.toolArgs)}catch{callObj.arguments=section.toolArgs}parts.push(JSON.stringify(callObj,null,2)),section.toolResult&&parts.push(`[Tool Result] +${section.toolResult}`);break}}return parts.join(` + + +`)}),editedExtras=user_derived(()=>$$props.message.extra?[...$$props.message.extra]:[]),editedUploadedFiles=state$1(proxy([])),isEditing2=state$1(!1),showDeleteDialog=state$1(!1),shouldBranchAfterEdit=state$1(!1),textareaElement=state$1(void 0),showSaveOnlyOption=user_derived(()=>$$props.message.role===MessageRole.USER),showBranchAfterEditOption=user_derived(()=>$$props.message.role===MessageRole.ASSISTANT);setMessageEditContext({get isEditing(){return get$3(isEditing2)},get editedContent(){return get$3( +editedContent)},get editedExtras(){return get$3(editedExtras)},get editedUploadedFiles(){return get$3(editedUploadedFiles)},get originalContent(){return $$props.message.role===MessageRole.ASSISTANT?get$3(rawEditContent)??$$props.message.content:$$props.message.content},get originalExtras(){return $$props.message.extra||[]},get showSaveOnlyOption(){return get$3(showSaveOnlyOption)},get showBranchAfterEditOption(){return get$3(showBranchAfterEditOption)},get shouldBranchAfterEdit(){return get$3(shouldBranchAfterEdit)}, +get messageRole(){return $$props.message.role},get rawEditContent(){return get$3(rawEditContent)},setContent:content2=>{set$1(editedContent,content2)},setExtras:extras=>{set$1(editedExtras,extras)},setUploadedFiles:files=>{set$1(editedUploadedFiles,files,!0)},setShouldBranchAfterEdit:value=>{set$1(shouldBranchAfterEdit,value,!0)},save:handleSaveEdit,saveOnly:handleSaveEditOnly,cancel:handleCancelEdit,startEdit:handleEdit});let mcpPromptExtra=user_derived(()=>{if($$props.message.role!==MessageRole. +USER||$$props.message.content.trim()||!$$props.message.extra||$$props.message.extra.length!==1)return null;const extra=$$props.message.extra[0];return extra.type===AttachmentType.MCP_PROMPT?extra:null});user_effect(()=>{const pendingId=pendingEditMessageId();pendingId&&pendingId===$$props.message.id&&!get$3(isEditing2)&&(handleEdit(),chatStore.clearPendingEditMessageId())});async function handleCancelEdit(){if(set$1(isEditing2,!1),$$props.message.role===MessageRole.SYSTEM&&$$props.message.content=== +SYSTEM_MESSAGE_PLACEHOLDER){await chatStore.removeSystemPromptPlaceholder($$props.message.id)&&goto(ROUTES.START);return}set$1(editedContent,$$props.message.role===MessageRole.ASSISTANT?get$3(rawEditContent)||$$props.message.content||"":$$props.message.content),set$1(editedExtras,$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0)}function handleCopy(){chatActions.copy($$props.message)}async function handleConfirmDelete(){$$props.message.role===MessageRole.SYSTEM? +await chatStore.removeSystemPromptPlaceholder($$props.message.id)&&goto(ROUTES.START):chatActions.delete($$props.message),set$1(showDeleteDialog,!1)}async function handleDelete2(){set$1(deletionInfo,await chatStore.getDeletionInfo($$props.message.id),!0),set$1(showDeleteDialog,!0)}function handleEdit(){set$1(isEditing2,!0),$$props.message.role===MessageRole.SYSTEM&&$$props.message.content===SYSTEM_MESSAGE_PLACEHOLDER?set$1(editedContent,""):$$props.message.role===MessageRole.ASSISTANT?set$1(editedContent, +get$3(rawEditContent)||$$props.message.content||""):set$1(editedContent,$$props.message.content),get$3(textareaElement)?.focus(),set$1(editedExtras,$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0),setTimeout(()=>{get$3(textareaElement)&&(get$3(textareaElement).focus(),get$3(textareaElement).setSelectionRange(get$3(textareaElement).value.length,get$3(textareaElement).value.length))},0)}function handleRegenerate(modelOverride){chatActions.regenerateWithBranching( +$$props.message,modelOverride)}function handleContinue(){chatActions.continueAssistantMessage($$props.message)}function handleForkConversation(options){chatActions.forkConversation($$props.message,options)}function handleNavigateToSibling(siblingId){chatActions.navigateToSibling(siblingId)}async function handleSaveEdit(){if($$props.message.role===MessageRole.SYSTEM){const newContent=get$3(editedContent).trim();if(!newContent){const conversationDeleted=await chatStore.removeSystemPromptPlaceholder( +$$props.message.id);set$1(isEditing2,!1),conversationDeleted&&goto(ROUTES.START);return}await DatabaseService.updateMessage($$props.message.id,{content:newContent});const index2=conversationsStore.findMessageIndex($$props.message.id);index2!==-1&&conversationsStore.updateMessageAtIndex(index2,{content:newContent})}else if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.editWithBranching($$props.message,get$3(editedContent).trim(),finalExtras)}else chatActions. +editWithReplacement($$props.message,get$3(editedContent),get$3(shouldBranchAfterEdit));set$1(isEditing2,!1),set$1(shouldBranchAfterEdit,!1),set$1(editedUploadedFiles,[],!0)}async function handleSaveEditOnly(){if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.editUserMessagePreserveResponses($$props.message,get$3(editedContent).trim(),finalExtras)}set$1(isEditing2,!1),set$1(editedUploadedFiles,[],!0)}async function getMergedExtras(){if(get$3(editedUploadedFiles). +length===0)return get$3(editedExtras);const plainFiles=snapshot(get$3(editedUploadedFiles)),newExtras=(await parseFilesToMessageExtras(plainFiles))?.extras||[];return[...get$3(editedExtras),...newExtras]}function handleShowDeleteDialogChange(show){set$1(showDeleteDialog,show,!0)}var div=root$1f(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageSystem($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get message(){return $$props.message},onConfirmDelete:handleConfirmDelete, +onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$3(textareaElement)},set textareaElement($$value){set$1(textareaElement,$$value,!0)}})},consequent_1=$$anchor2=>{ChatMessageMcpPrompt($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)}, +get message(){return $$props.message},get mcpPrompt(){return get$3(mcpPromptExtra)},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},consequent_2=$$anchor2=>{ChatMessageUser($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)}, +get message(){return $$props.message},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},alternate=$$anchor2=>{ChatMessageAssistant($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)}, +get isLastAssistantMessage(){return isLastAssistantMessage()},get message(){return $$props.message},get toolMessages(){return toolMessages()},get messageContent(){return $$props.message.content},onConfirmDelete:handleConfirmDelete,onContinue:handleContinue,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,onRegenerate:handleRegenerate,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){ +return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$3(textareaElement)},set textareaElement($$value){set$1(textareaElement,$$value,!0)}})};if_block(node2,$$render=>{$$props.message.role===MessageRole.SYSTEM?$$render(consequent):get$3(mcpPromptExtra)?$$render(consequent_1,1):$$props.message.role===MessageRole.USER?$$render(consequent_2,2):$$render(alternate,-1)})}reset(div),action(div,$$node=>fadeInView?.($$node)),append($$anchor,div),pop()}var root_2$U=from_html( +'
          '),root_7$n=from_html('
          Receiving arguments...
          '),root_8$o=from_html('
          Response was truncated
          '),root_4$w=from_html('
          Arguments:
          '),root_11$b=from_html( +'
          Arguments:
          '),root_13$b=from_html('
          Waiting for result...
          '),root_16$3=from_html(''),root_15$8=from_html('
          ',1),root_14$4=from_html('
          '),root_17$6=from_html('
          No output
          '),root_10$a=from_html('
          Result:
          ',1),root_19$7=from_html('
          '),root_21$1=from_html('
          '),root_25$2=from_html('
          '),root_23$3=from_html('
          '),root$1e=from_html('
          ');function ChatMessageAgenticContent($$anchor,$$props){push$1($$props,!0);const renderSection=($$anchor2,section=noop$3,index2=noop$3)=>{ +var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$U(),node_1=child(div);{let $0=user_derived(()=>$$props.message?.extra);MarkdownContent(node_1,{get content(){return section().content},get attachments(){return get$3($0)}})}reset(div),append($$anchor3,div)},consequent_4=$$anchor3=>{const streamingIcon=user_derived(()=>(isStreaming(),Loader_circle)),streamingIconClass=user_derived(()=>isStreaming()?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived( +()=>isExpanded(index2(),section())),$1=user_derived(()=>section().toolName||"Tool call"),$2=user_derived(()=>isStreaming()?"":"incomplete");CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return get$3(streamingIcon)},get iconClass(){return get$3(streamingIconClass)},get title(){return get$3($1)},get subtitle(){return get$3($2)},get isStreaming(){return isStreaming()},onToggle:()=>toggleExpanded(index2(),section()),children:($$anchor4,$$slotProps)=>{var div_1=root_4$w(), +div_2=child(div_1),node_2=sibling(child(div_2),2);{var consequent_1=$$anchor5=>{Loader_circle($$anchor5,{class:"h-3 w-3 animate-spin"})};if_block(node_2,$$render=>{isStreaming()&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor5=>{{let $02=user_derived(()=>formatJsonPretty(section().toolArgs));SyntaxHighlightedCode($$anchor5,{get code(){return get$3($02)},get language(){return FileTypeText.JSON},maxHeight:"20rem",class:"text-xs"})}},consequent_3=$$anchor5=>{ +var div_3=root_7$n();append($$anchor5,div_3)},alternate=$$anchor5=>{var div_4=root_8$o();append($$anchor5,div_4)};if_block(node_3,$$render=>{section().toolArgs?$$render(consequent_2):isStreaming()?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_1),append($$anchor4,div_1)},$$slots:{default:!0}})}},consequent_10=$$anchor3=>{const isPending=user_derived(()=>section().type===AgenticSectionType.TOOL_CALL_PENDING),toolIcon=user_derived(()=>get$3(isPending)?Loader_circle:Wrench),toolIconClass=user_derived( +()=>get$3(isPending)?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived(()=>isExpanded(index2(),section())),$1=user_derived(()=>section().toolName||""),$2=user_derived(()=>get$3(isPending)?"executing...":void 0);CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return get$3(toolIcon)},get iconClass(){return get$3(toolIconClass)},get title(){return get$3($1)},get subtitle(){return get$3($2)},get isStreaming(){return get$3(isPending)},onToggle:()=>toggleExpanded( +index2(),section()),children:($$anchor4,$$slotProps)=>{var fragment_5=root_10$a(),node_4=first_child(fragment_5);{var consequent_5=$$anchor5=>{var div_5=root_11$b(),node_5=sibling(child(div_5),2);{let $02=user_derived(()=>formatJsonPretty(section().toolArgs));SyntaxHighlightedCode(node_5,{get code(){return get$3($02)},get language(){return FileTypeText.JSON},maxHeight:"20rem",class:"text-xs"})}reset(div_5),append($$anchor5,div_5)};if_block(node_4,$$render=>{section().toolArgs&§ion().toolArgs!== +"{}"&&$$render(consequent_5)})}var div_6=sibling(node_4,2),div_7=child(div_6),node_6=sibling(child(div_7),2);{var consequent_6=$$anchor5=>{Loader_circle($$anchor5,{class:"h-3 w-3 animate-spin"})};if_block(node_6,$$render=>{get$3(isPending)&&$$render(consequent_6)})}reset(div_7);var node_7=sibling(div_7,2);{var consequent_7=$$anchor5=>{var div_8=root_13$b();append($$anchor5,div_8)},consequent_9=$$anchor5=>{var div_9=root_14$4();each(div_9,21,()=>section().parsedLines,index$2,($$anchor6,line)=>{var fragment_7=root_15$8(), +div_10=first_child(fragment_7),text2=child(div_10,!0);reset(div_10);var node_8=sibling(div_10,2);{var consequent_8=$$anchor7=>{var img=root_16$3();template_effect(()=>{set_attribute(img,"src",get$3(line).image.base64Url),set_attribute(img,"alt",get$3(line).image.name)}),append($$anchor7,img)};if_block(node_8,$$render=>{get$3(line).image&&$$render(consequent_8)})}template_effect(()=>set_text(text2,get$3(line).text)),append($$anchor6,fragment_7)}),reset(div_9),append($$anchor5,div_9)},alternate_1=$$anchor5=>{ +var div_11=root_17$6();append($$anchor5,div_11)};if_block(node_7,$$render=>{get$3(isPending)?$$render(consequent_7):section().toolResult?$$render(consequent_9,1):$$render(alternate_1,-1)})}reset(div_6),append($$anchor4,fragment_5)},$$slots:{default:!0}})}},consequent_11=$$anchor3=>{{let $0=user_derived(()=>isExpanded(index2(),section()));CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return Brain},title:"Reasoning",onToggle:()=>toggleExpanded(index2(),section()), +children:($$anchor4,$$slotProps)=>{var div_12=root_19$7(),div_13=child(div_12),text_1=child(div_13,!0);reset(div_13),reset(div_12),template_effect(()=>set_text(text_1,section().content)),append($$anchor4,div_12)},$$slots:{default:!0}})}},consequent_12=$$anchor3=>{const reasoningTitle=user_derived(()=>isStreaming()?"Reasoning...":"Reasoning"),reasoningSubtitle=user_derived(()=>isStreaming()?"":"incomplete");{let $0=user_derived(()=>isExpanded(index2(),section()));CollapsibleContentBlock($$anchor3, +{get open(){return get$3($0)},class:"my-2",get icon(){return Brain},get title(){return get$3(reasoningTitle)},get subtitle(){return get$3(reasoningSubtitle)},get isStreaming(){return isStreaming()},onToggle:()=>toggleExpanded(index2(),section()),children:($$anchor4,$$slotProps)=>{var div_14=root_21$1(),div_15=child(div_14),text_2=child(div_15,!0);reset(div_15),reset(div_14),template_effect(()=>set_text(text_2,section().content)),append($$anchor4,div_14)},$$slots:{default:!0}})}};if_block(node2,$$render=>{ +section().type===AgenticSectionType.TEXT?$$render(consequent):section().type===AgenticSectionType.TOOL_CALL_STREAMING?$$render(consequent_4,1):section().type===AgenticSectionType.TOOL_CALL||section().type===AgenticSectionType.TOOL_CALL_PENDING?$$render(consequent_10,2):section().type===AgenticSectionType.REASONING?$$render(consequent_11,3):section().type===AgenticSectionType.REASONING_PENDING&&$$render(consequent_12,4)})}append($$anchor2,fragment)};let toolMessages=prop($$props,"toolMessages",19, +()=>[]),isStreaming=prop($$props,"isStreaming",3,!1),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),highlightTurns=prop($$props,"highlightTurns",3,!1),expandedStates=proxy({});const showToolCallInProgress=user_derived(()=>config$1().showToolCallInProgress),showThoughtInProgress=user_derived(()=>config$1().showThoughtInProgress);let permissionDismissed=state$1(!1);const pendingPermission=user_derived(()=>isStreaming()&&isLastAssistantMessage()?agenticPendingPermissionRequest($$props. +message.convId):null);let prevPendingRef=null;user_effect(()=>{get$3(pendingPermission)!==prevPendingRef&&(prevPendingRef=get$3(pendingPermission),get$3(pendingPermission)&&set$1(permissionDismissed,!1))});function handlePermission(decision){set$1(permissionDismissed,!0),agenticResolvePermission($$props.message.convId,decision)}let continueDismissed=state$1(!1);const pendingContinue=user_derived(()=>isStreaming()&&isLastAssistantMessage()?agenticPendingContinueRequest($$props.message.convId):!1); +let prevContinueRef=!1;user_effect(()=>{get$3(pendingContinue)!==prevContinueRef&&(prevContinueRef=get$3(pendingContinue),get$3(pendingContinue)&&set$1(continueDismissed,!1))});function handleContinue(shouldContinue){set$1(continueDismissed,!0),agenticResolveContinue($$props.message.convId,shouldContinue)}const sections=user_derived(()=>deriveAgenticSections($$props.message,toolMessages(),[],isStreaming())),sectionsParsed=user_derived(()=>get$3(sections).map(section=>({...section,parsedLines:section. +toolResult?parseToolResultWithImages(section.toolResult,section.toolResultExtras||$$props.message?.extra):[]}))),turnGroups=user_derived(()=>{const turns=[];let currentTurn=[],currentIndices=[],prevWasTool=!1;for(let i=0;i0&&(turns. +push({sections:currentTurn,flatIndices:currentIndices}),currentTurn=[],currentIndices=[]),currentTurn.push(section),currentIndices.push(i),prevWasTool=isTool}return currentTurn.length>0&&turns.push({sections:currentTurn,flatIndices:currentIndices}),turns});function getDefaultExpanded(section){return section.type===AgenticSectionType.TOOL_CALL_PENDING||section.type===AgenticSectionType.TOOL_CALL_STREAMING?get$3(showToolCallInProgress):section.type===AgenticSectionType.REASONING_PENDING?get$3(showThoughtInProgress): +!1}function isExpanded(index2,section){return expandedStates[index2]!==void 0?expandedStates[index2]:getDefaultExpanded(section)}function toggleExpanded(index2,section){const currentState=isExpanded(index2,section);expandedStates[index2]=!currentState}function buildTurnAgenticTimings(stats){return{turns:1,toolCallsCount:stats.toolCalls.length,toolsMs:stats.toolsMs,toolCalls:stats.toolCalls,llm:stats.llm}}var div_16=root$1e(),node_9=child(div_16);{var consequent_14=$$anchor2=>{var fragment_10=comment$2(), +node_10=first_child(fragment_10);each(node_10,17,()=>get$3(turnGroups),index$2,($$anchor3,turn,turnIndex)=>{const turnStats=user_derived(()=>$$props.message?.timings?.agentic?.perTurn?.[turnIndex]);var div_17=root_23$3(),span=child(div_17);span.textContent=`Turn ${turnIndex+1}`;var node_11=sibling(span,2);each(node_11,19,()=>get$3(turn).sections,(section,sIdx)=>get$3(turn).flatIndices[sIdx],($$anchor4,section,sIdx)=>{renderSection($$anchor4,()=>get$3(section),()=>get$3(turn).flatIndices[get$3(sIdx)])}); +var node_12=sibling(node_11,2);{var consequent_13=$$anchor4=>{var div_18=root_25$2(),node_13=child(div_18);{let $0=user_derived(()=>get$3(turnStats).toolCalls.length>0?buildTurnAgenticTimings(get$3(turnStats)):void 0);ChatMessageStatistics(node_13,{get promptTokens(){return get$3(turnStats).llm.prompt_n},get promptMs(){return get$3(turnStats).llm.prompt_ms},get predictedTokens(){return get$3(turnStats).llm.predicted_n},get predictedMs(){return get$3(turnStats).llm.predicted_ms},get agenticTimings(){ +return get$3($0)},get initialView(){return ChatMessageStatsView.GENERATION},hideSummary:!0})}reset(div_18),append($$anchor4,div_18)};if_block(node_12,$$render=>{get$3(turnStats)&&$$render(consequent_13)})}reset(div_17),append($$anchor3,div_17)}),append($$anchor2,fragment_10)},alternate_2=$$anchor2=>{var fragment_12=comment$2(),node_14=first_child(fragment_12);each(node_14,17,()=>get$3(sectionsParsed),index$2,($$anchor3,section,index2)=>{renderSection($$anchor3,()=>get$3(section),()=>index2)}),append( +$$anchor2,fragment_12)};if_block(node_9,$$render=>{highlightTurns()&&get$3(turnGroups).length>1?$$render(consequent_14):$$render(alternate_2,-1)})}var node_15=sibling(node_9,2);{var consequent_15=$$anchor2=>{ChatMessageActionCardPermissionRequest($$anchor2,{get toolName(){return get$3(pendingPermission).toolName},get serverLabel(){return get$3(pendingPermission).serverLabel},onDecision:handlePermission})};if_block(node_15,$$render=>{get$3(pendingPermission)&&!get$3(permissionDismissed)&&$$render( +consequent_15)})}var node_16=sibling(node_15,2);{var consequent_16=$$anchor2=>{ChatMessageActionCardContinueRequest($$anchor2,{onDecision:handleContinue})};if_block(node_16,$$render=>{get$3(pendingContinue)&&!get$3(continueDismissed)&&$$render(consequent_16)})}reset(div_16),append($$anchor,div_16),pop()}var root$1d=from_html("
          ");function Button_group_root($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy","class","children"]);var div=root$1d(); +attribute_effect(div,$0=>({class:$0,...restProps}),[()=>cn$1("flex items-center [&>*:first-child]:rounded-r-none [&>*:last-child]:rounded-l-none [&>*:not(:first-child):not(:last-child)]:rounded-none",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children),reset(div),append($$anchor,div),pop()}var root$1c=from_html("
          ");function Button_group_separator($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);var div=root$1c(); +attribute_effect(div,$0=>({class:$0,...restProps}),[()=>cn$1("shrink-0 self-stretch bg-border","w-px")]),append($$anchor,div),pop()}var root_2$T=from_html('from ',1),root_1$B=from_html('Allow use of ?',1),root_5$n=from_html(" ",1),root_10$9=from_html("Always allow
          tool",1),root_9$h=from_html(" ",1),root_4$v=from_html(" ",1),root_3$K=from_html(" ",1);function ChatMessageActionCardPermissionRequest($$anchor,$$props){ +push$1($$props,!0),ChatMessageActionCard($$anchor,{get icon(){return Shield_question},message:$$anchor2=>{next$1();var fragment_1=root_1$B(),span=sibling(first_child(fragment_1)),text2=child(span,!0);reset(span);var node2=sibling(span,2);{var consequent=$$anchor3=>{var fragment_2=root_2$T(),span_1=sibling(first_child(fragment_2)),text_1=child(span_1,!0);reset(span_1),template_effect(()=>set_text(text_1,$$props.serverLabel)),append($$anchor3,fragment_2)};if_block(node2,$$render=>{$$props.serverLabel&& +$$render(consequent)})}next$1(),template_effect(()=>set_text(text2,$$props.toolName)),append($$anchor2,fragment_1)},actions:$$anchor2=>{var fragment_3=root_3$K(),node_1=first_child(fragment_3);component(node_1,()=>Root$4,($$anchor3,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_4$v(),node_2=first_child(fragment_4);component(node_2,()=>Button_group_root,($$anchor5,ButtonGroup_Root)=>{ButtonGroup_Root($$anchor5,{class:"overflow-hidden round\ +ed-md bg-foreground text-white shadow-sm dark:bg-secondary dark:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_5=root_5$n(),node_3=first_child(fragment_5);Button(node_3,{class:"rounded-none! shadow-none!",size:"sm",onclick:()=>$$props.onDecision(ToolPermissionDecision.ONCE),children:($$anchor7,$$slotProps3)=>{next$1();var text_2=text$8("Allow once");append($$anchor7,text_2)},$$slots:{default:!0}});var node_4=sibling(node_3,2);component(node_4,()=>Button_group_separator,($$anchor7,ButtonGroup_Separator)=>{ +ButtonGroup_Separator($$anchor7,{})});var node_5=sibling(node_4,2);component(node_5,()=>Dropdown_menu_trigger,($$anchor7,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor7,{children:($$anchor8,$$slotProps3)=>{Button($$anchor8,{size:"sm",class:"rounded-none! !ps-2 shadow-none!",children:($$anchor9,$$slotProps4)=>{Chevron_down($$anchor9,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})},$$slots:{default:!0}})}),append($$anchor6,fragment_5)},$$slots:{default:!0}})});var node_6=sibling(node_2,2);component( +node_6,()=>Dropdown_menu_content,($$anchor5,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor5,{align:"start",class:"min-w-[8rem]",children:($$anchor6,$$slotProps2)=>{var fragment_8=root_9$h(),node_7=first_child(fragment_8);component(node_7,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor7,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS),children:($$anchor8,$$slotProps3)=>{next$1();var fragment_9=root_10$9(),pre=sibling(first_child(fragment_9)), +text_3=child(pre,!0);reset(pre),next$1(),template_effect(()=>set_text(text_3,$$props.toolName)),append($$anchor8,fragment_9)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);{var consequent_1=$$anchor7=>{var fragment_10=comment$2(),node_9=first_child(fragment_10);component(node_9,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_1)=>{DropdownMenu_Item_1($$anchor8,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS_SERVER),children:($$anchor9,$$slotProps3)=>{next$1();var text_4=text$8(); +template_effect(()=>set_text(text_4,`Always allow all tools from ${$$props.serverLabel??""}`)),append($$anchor9,text_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_10)},alternate=$$anchor7=>{const source2=user_derived(()=>toolsStore.getToolSource($$props.toolName)),providerName=user_derived(()=>get$3(source2)===ToolSource.BUILTIN?TOOL_SERVER_LABELS[ToolSource.BUILTIN]:get$3(source2)===ToolSource.CUSTOM?TOOL_SERVER_LABELS[ToolSource.CUSTOM]:"MCP Tools");var fragment_12=comment$2(),node_10=first_child( +fragment_12);component(node_10,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_2)=>{DropdownMenu_Item_2($$anchor8,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS_SERVER),children:($$anchor9,$$slotProps3)=>{next$1();var text_5=text$8();template_effect(()=>set_text(text_5,`Approve all tools from ${get$3(providerName)??""}`)),append($$anchor9,text_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_12)};if_block(node_8,$$render=>{$$props.serverLabel?$$render(consequent_1):$$render( +alternate,-1)})}append($$anchor6,fragment_8)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})});var node_11=sibling(node_1,2);Button(node_11,{variant:"destructive",size:"sm",class:"text-destructive hover:text-destructive",onclick:()=>$$props.onDecision(ToolPermissionDecision.DENY),children:($$anchor3,$$slotProps)=>{next$1();var text_6=text$8("Deny");append($$anchor3,text_6)},$$slots:{default:!0}}),append($$anchor2,fragment_3)}}),pop()}var root$1b=from_html('
          ');function ChatMessageActionCard($$anchor,$$props){var div=root$1b(),div_1=child(div),node2=child(div_1);component(node2,()=>$$props.icon,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{class:"h-4 w-4 shrink-0 text-muted-foreground"})});var span=sibling(node2,2),node_1=child(span);snippet(node_1, +()=>$$props.message),reset(span),reset(div_1);var div_2=sibling(div_1,2),node_2=child(div_2);snippet(node_2,()=>$$props.actions),reset(div_2),reset(div),append($$anchor,div)}var root_2$S=from_html(" ",1);function ChatMessageActionCardContinueRequest($$anchor,$$props){push$1($$props,!0),ChatMessageActionCard($$anchor,{get icon(){return Rotate_cw},message:$$anchor2=>{next$1();var text2=text$8("Agentic turn limit reached. Continue?");append($$anchor2,text2)},actions:$$anchor2=>{var fragment_1=root_2$S(), +node2=first_child(fragment_1);Button(node2,{size:"sm",onclick:()=>$$props.onDecision(!0),children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("Continue");append($$anchor3,text_1)},$$slots:{default:!0}});var node_1=sibling(node2,2);Button(node_1,{variant:"destructive",size:"sm",class:"text-destructive hover:text-destructive",onclick:()=>$$props.onDecision(!1),children:($$anchor3,$$slotProps)=>{next$1();var text_2=text$8("Stop");append($$anchor3,text_2)},$$slots:{default:!0}}),append($$anchor2, +fragment_1)}}),pop()}var root_6$o=from_html('
          Show raw output
          '),root_7$m=from_html('
          '),root$1a=from_html('
          <\ +!>
          ',1);function ChatMessageActionIcons($$anchor,$$props){push$1($$props,!0);let siblingInfo=prop($$props,"siblingInfo",3,null),showDeleteDialog=prop($$props,"showDeleteDialog",7),showRawOutputSwitch=prop($$props,"showRawOutputSwitch",3,!1),rawOutputEnabled=prop($$props,"rawOutputEnabled",3,!1),showForkDialog=state$1(!1),forkName=state$1(""),forkIncludeAttachments=state$1(!0);function handleConfirmDelete(){$$props.onConfirmDelete(),$$props.onShowDeleteDialogChange(!1)}function handleOpenForkDialog(){ +const conv=activeConversation();set$1(forkName,`Fork of ${conv?.name??"Conversation"}`),set$1(forkIncludeAttachments,!0),set$1(showForkDialog,!0)}function handleConfirmFork(){$$props.onForkConversation?.({name:get$3(forkName).trim(),includeAttachments:get$3(forkIncludeAttachments)}),set$1(showForkDialog,!1)}var fragment=root$1a(),div=first_child(fragment),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{ChatMessageActionIconsBranchingControls($$anchor2,{get siblingInfo(){return siblingInfo()}, +get onNavigateToSibling(){return $$props.onNavigateToSibling}})};if_block(node2,$$render=>{siblingInfo()&&siblingInfo().totalSiblings>1&&$$render(consequent)})}var div_2=sibling(node2,2),node_1=child(div_2);ActionIcon(node_1,{get icon(){return Copy},tooltip:"Copy",get onclick(){return $$props.onCopy}});var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Square_pen},tooltip:"Edit",get onclick(){return $$props.onEdit}})};if_block(node_2,$$render=>{$$props. +onEdit&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Refresh_cw},tooltip:"Regenerate",onclick:()=>$$props.onRegenerate()})};if_block(node_3,$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props.onRegenerate&&$$render(consequent_2)})}var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Arrow_right},tooltip:"Continue",get onclick(){return $$props.onContinue}})};if_block(node_4, +$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props.onContinue&&$$render(consequent_3)})}var node_5=sibling(node_4,2);{var consequent_4=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Git_branch},tooltip:"Fork conversation",onclick:handleOpenForkDialog})};if_block(node_5,$$render=>{$$props.onForkConversation&&$$render(consequent_4)})}var node_6=sibling(node_5,2);ActionIcon(node_6,{get icon(){return Trash_2},tooltip:"Delete",get onclick(){return $$props.onDelete}}),reset(div_2),reset(div_1); +var node_7=sibling(div_1,2);{var consequent_5=$$anchor2=>{var div_3=root_6$o(),node_8=sibling(child(div_3),2);Switch(node_8,{get checked(){return rawOutputEnabled()},onCheckedChange:checked=>$$props.onRawOutputToggle?.(checked)}),reset(div_3),append($$anchor2,div_3)};if_block(node_7,$$render=>{showRawOutputSwitch()&&$$render(consequent_5)})}reset(div);var node_9=sibling(div,2);{let $0=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount>1?`This will delete ${$$props.deletionInfo. +totalCount} messages including: ${$$props.deletionInfo.userMessages} user message${$$props.deletionInfo.userMessages>1?"s":""} and ${$$props.deletionInfo.assistantMessages} assistant response${$$props.deletionInfo.assistantMessages>1?"s":""}. All messages in this branch and their responses will be permanently removed. This action cannot be undone.`:"Are you sure you want to delete this message? This action cannot be undone."),$1=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount> +1?`Delete ${$$props.deletionInfo.totalCount} Messages`:"Delete");DialogConfirmation(node_9,{title:"Delete Message",get description(){return get$3($0)},get confirmText(){return get$3($1)},cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>$$props.onShowDeleteDialogChange(!1),get open(){return showDeleteDialog()},set open($$value){showDeleteDialog($$value)}})}var node_10=sibling(node_9,2);DialogConfirmation(node_10,{title:"Fork Conversat\ +ion",description:"Create a new conversation branching from this message.",confirmText:"Fork",cancelText:"Cancel",get icon(){return Git_branch},onConfirm:handleConfirmFork,onCancel:()=>set$1(showForkDialog,!1),get open(){return get$3(showForkDialog)},set open($$value){set$1(showForkDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var div_4=root_7$m(),div_5=child(div_4),node_11=child(div_5);Label(node_11,{for:"fork-name",children:($$anchor3,$$slotProps2)=>{next$1();var text2=text$8("Title"); +append($$anchor3,text2)},$$slots:{default:!0}});var node_12=sibling(node_11,2);Input(node_12,{id:"fork-name",class:"text-foreground",placeholder:"Enter fork name",type:"text",get value(){return get$3(forkName)},set value($$value){set$1(forkName,$$value,!0)}}),reset(div_5);var div_6=sibling(div_5,2),node_13=child(div_6);Checkbox(node_13,{id:"fork-attachments",get checked(){return get$3(forkIncludeAttachments)},onCheckedChange:checked=>{set$1(forkIncludeAttachments,checked===!0)}});var node_14=sibling( +node_13,2);Label(node_14,{for:"fork-attachments",class:"cursor-pointer text-sm font-normal",children:($$anchor3,$$slotProps2)=>{next$1();var text_1=text$8("Include all attachments");append($$anchor3,text_1)},$$slots:{default:!0}}),reset(div_6),reset(div_4),append($$anchor2,div_4)},$$slots:{default:!0}}),template_effect(()=>{set_class(div,1,`relative ${$$props.justify==="start"?"mt-2":""} flex h-6 items-center justify-between`),set_class(div_1,1,`${$$props.actionsPosition==="left"?"left-0":"right\ +-0"} flex items-center gap-2 opacity-100 transition-opacity`)}),append($$anchor,fragment),pop()}var root_1$A=from_html('
          ');function ChatMessageActionIconsBranchingControls($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),hasPrevious=user_derived(()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex>0),hasNext=user_derived(()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex<$$props. +siblingInfo.totalSiblings-1),nextSiblingId=user_derived(()=>get$3(hasNext)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex+1]:null),previousSiblingId=user_derived(()=>get$3(hasPrevious)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex-1]:null);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$A(),node_1=child(div);{let $0=user_derived(()=>!get$3(hasPrevious)),$1=user_derived(()=>get$3(hasPrevious)?"":"!cursor-not-allowe\ +d opacity-30");ActionIcon(node_1,{get icon(){return Chevron_left},tooltip:"Previous version",get disabled(){return get$3($0)},get class(){return`h-5 w-5 p-0 ${get$3($1)??""}`},onclick:()=>$$props.onNavigateToSibling?.(get$3(previousSiblingId))})}var span=sibling(node_1,2),text2=child(span);reset(span);var node_2=sibling(span,2);{let $0=user_derived(()=>!get$3(hasNext)),$1=user_derived(()=>get$3(hasNext)?"":"opacity-30");ActionIcon(node_2,{get icon(){return Chevron_right},tooltip:"Next version",get disabled(){ +return get$3($0)},get class(){return`h-5 w-5 p-0 ${get$3($1)??""}`},onclick:()=>$$props.onNavigateToSibling?.(get$3(nextSiblingId))})}reset(div),template_effect(()=>{set_attribute(div,"aria-label",`Message version ${$$props.siblingInfo.currentIndex+1} of ${$$props.siblingInfo.totalSiblings??""}`),set_class(div,1,`flex items-center gap-1 text-xs text-muted-foreground ${className()??""}`),set_text(text2,`${$$props.siblingInfo.currentIndex+1}/${$$props.siblingInfo.totalSiblings??""}`)}),append($$anchor2, +div)};if_block(node2,$$render=>{$$props.siblingInfo&&$$props.siblingInfo.totalSiblings>1&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_3$J=from_html(''),root_4$u=from_html("

          Reading (prompt processing)

          "),root_2$R=from_html(" ",1),root_6$n=from_html(''),root_7$l=from_html("

          "),root_5$m=from_html(" ",1),root_10$8=from_html( +''),root_11$a=from_html("

          Tool calls

          "),root_9$g=from_html(" ",1),root_14$3=from_html(''),root_15$7=from_html("

          Agentic summary

          "),root_13$a=from_html(" ",1),root_8$n=from_html(" ",1),root_16$2=from_html(" ",1),root_17$5=from_html(" ",1),root_18$4=from_html(" ",1),root_19$6=from_html(" ",1), +root$19=from_html('
          ');function ChatMessageStatistics($$anchor,$$props){push$1($$props,!0);let isLive=prop($$props,"isLive",3,!1),isProcessingPrompt=prop($$props,"isProcessingPrompt",3,!1),initialView=prop($$props,"initialView",19,()=>ChatMessageStatsView.GENERATION),hideSummary=prop( +$$props,"hideSummary",3,!1),activeView=user_derived(initialView),hasAutoSwitchedToGeneration=state$1(!1);user_effect(()=>{$$props.onActiveViewChange?.(get$3(activeView))}),user_effect(()=>{isLive()&&(!get$3(hasAutoSwitchedToGeneration)&&!isProcessingPrompt()&&$$props.predictedTokens&&$$props.predictedTokens>0?(set$1(activeView,ChatMessageStatsView.GENERATION),set$1(hasAutoSwitchedToGeneration,!0)):get$3(hasAutoSwitchedToGeneration)||set$1(activeView,ChatMessageStatsView.READING))});let hasGenerationStats=user_derived( +()=>$$props.predictedTokens!==void 0&&$$props.predictedTokens>0&&$$props.predictedMs!==void 0&&$$props.predictedMs>0),tokensPerSecond=user_derived(()=>get$3(hasGenerationStats)?$$props.predictedTokens/$$props.predictedMs*MS_PER_SECOND:0),formattedTime=user_derived(()=>$$props.predictedMs!==void 0?formatPerformanceTime($$props.predictedMs):DEFAULT_PERFORMANCE_TIME),promptTokensPerSecond=user_derived(()=>$$props.promptTokens!==void 0&&$$props.promptMs!==void 0&&$$props.promptMs>0?$$props.promptTokens/ +$$props.promptMs*MS_PER_SECOND:void 0),formattedPromptTime=user_derived(()=>$$props.promptMs!==void 0?formatPerformanceTime($$props.promptMs):void 0),hasPromptStats=user_derived(()=>$$props.promptTokens!==void 0&&$$props.promptMs!==void 0&&get$3(promptTokensPerSecond)!==void 0&&get$3(formattedPromptTime)!==void 0),isGenerationDisabled=user_derived(()=>isLive()&&!get$3(hasGenerationStats)),hasAgenticStats=user_derived(()=>$$props.agenticTimings!==void 0&&$$props.agenticTimings.toolCallsCount>0),agenticToolsPerSecond=user_derived( +()=>get$3(hasAgenticStats)&&$$props.agenticTimings.toolsMs>0?$$props.agenticTimings.toolCallsCount/$$props.agenticTimings.toolsMs*MS_PER_SECOND:0),formattedAgenticToolsTime=user_derived(()=>get$3(hasAgenticStats)?formatPerformanceTime($$props.agenticTimings.toolsMs):DEFAULT_PERFORMANCE_TIME),agenticTotalTimeMs=user_derived(()=>get$3(hasAgenticStats)?$$props.agenticTimings.toolsMs+$$props.agenticTimings.llm.predicted_ms+$$props.agenticTimings.llm.prompt_ms:0),formattedAgenticTotalTime=user_derived( +()=>formatPerformanceTime(get$3(agenticTotalTimeMs)));var div=root$19(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$R(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var button=root_3$J(), +node_3=child(button);Book_open_text(node_3,{class:"h-3 w-3"}),next$1(2),reset(button),template_effect(()=>set_class(button,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.READING?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button,()=>set$1(activeView,ChatMessageStatsView.READING)),append($$anchor6,button)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content, +($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$u();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{(get$3(hasPromptStats)||isLive())&&$$render(consequent)})}var 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fragment_6=root_13$a(),node_16=first_child(fragment_6);component(node_16,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_3)=>{Tooltip_Trigger_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{var button_3=root_14$3(),node_17=child(button_3);Layers(node_17,{class:"h-3 w-3"}),next$1(2),reset(button_3),template_effect(()=>set_class(button_3,1,`inline-flex h-5 w-5 items-center jus\ +tify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.SUMMARY?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button_3,()=>set$1(activeView,ChatMessageStatsView.SUMMARY)),append($$anchor7,button_3)},$$slots:{default:!0}})});var node_18=sibling(node_16,2);component(node_18,()=>Tooltip_content,($$anchor6,Tooltip_Content_3)=>{Tooltip_Content_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{var p_3=root_15$7();append($$anchor7,p_3)}, +$$slots:{default:!0}})}),append($$anchor5,fragment_6)},$$slots:{default:!0}})}),append($$anchor3,fragment_5)};if_block(node_14,$$render=>{hideSummary()||$$render(consequent_1)})}append($$anchor2,fragment_3)};if_block(node_9,$$render=>{get$3(hasAgenticStats)&&$$render(consequent_2)})}reset(div_1);var div_2=sibling(div_1,2),node_19=child(div_2);{var consequent_3=$$anchor2=>{var fragment_7=root_16$2(),node_20=first_child(fragment_7);{let $0=user_derived(()=>$$props.predictedTokens?.toLocaleString()); +ChatMessageStatisticsBadge(node_20,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${get$3($0)??""} tokens`},tooltipLabel:"Generated tokens"})}var node_21=sibling(node_20,2);ChatMessageStatisticsBadge(node_21,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3(formattedTime)},tooltipLabel:"Generation time"});var node_22=sibling(node_21,2);{let $0=user_derived(()=>get$3(tokensPerSecond).toFixed(2));ChatMessageStatisticsBadge(node_22,{class:"bg-transp\ +arent",get icon(){return Gauge},get value(){return`${get$3($0)??""} t/s`},tooltipLabel:"Generation speed"})}append($$anchor2,fragment_7)},consequent_4=$$anchor2=>{var fragment_8=root_17$5(),node_23=first_child(fragment_8);ChatMessageStatisticsBadge(node_23,{class:"bg-transparent",get icon(){return Wrench},get value(){return`${$$props.agenticTimings.toolCallsCount??""} calls`},tooltipLabel:"Tool calls executed"});var node_24=sibling(node_23,2);ChatMessageStatisticsBadge(node_24,{class:"bg-transpa\ +rent",get icon(){return Clock},get value(){return get$3(formattedAgenticToolsTime)},tooltipLabel:"Tool execution time"});var node_25=sibling(node_24,2);{let $0=user_derived(()=>get$3(agenticToolsPerSecond).toFixed(2));ChatMessageStatisticsBadge(node_25,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$3($0)??""} calls/s`},tooltipLabel:"Tool execution rate"})}append($$anchor2,fragment_8)},consequent_5=$$anchor2=>{var fragment_9=root_18$4(),node_26=first_child(fragment_9);ChatMessageStatisticsBadge( +node_26,{class:"bg-transparent",get icon(){return Layers},get value(){return`${$$props.agenticTimings.turns??""} turns`},tooltipLabel:"Agentic turns (LLM calls)"});var node_27=sibling(node_26,2);{let $0=user_derived(()=>$$props.agenticTimings.llm.predicted_n.toLocaleString());ChatMessageStatisticsBadge(node_27,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${get$3($0)??""} tokens`},tooltipLabel:"Total tokens generated"})}var node_28=sibling(node_27,2);ChatMessageStatisticsBadge( +node_28,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3(formattedAgenticTotalTime)},tooltipLabel:"Total time (LLM + tools)"}),append($$anchor2,fragment_9)},consequent_6=$$anchor2=>{var fragment_10=root_19$6(),node_29=first_child(fragment_10);ChatMessageStatisticsBadge(node_29,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${$$props.promptTokens??""} tokens`},tooltipLabel:"Prompt tokens"});var node_30=sibling(node_29,2);{let $0=user_derived(()=>get$3( +formattedPromptTime)??"0s");ChatMessageStatisticsBadge(node_30,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3($0)},tooltipLabel:"Prompt processing time"})}var node_31=sibling(node_30,2);{let $0=user_derived(()=>get$3(promptTokensPerSecond).toFixed(2));ChatMessageStatisticsBadge(node_31,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$3($0)??""} tokens/s`},tooltipLabel:"Prompt processing speed"})}append($$anchor2,fragment_10)};if_block(node_19,$$render=>{ +get$3(activeView)===ChatMessageStatsView.GENERATION&&get$3(hasGenerationStats)?$$render(consequent_3):get$3(activeView)===ChatMessageStatsView.TOOLS&&get$3(hasAgenticStats)?$$render(consequent_4,1):get$3(activeView)===ChatMessageStatsView.SUMMARY&&get$3(hasAgenticStats)?$$render(consequent_5,2):get$3(hasPromptStats)&&$$render(consequent_6,3)})}reset(div_2),reset(div),append($$anchor,div),pop()}delegate(["click"]);var root_6$m=from_html("

          "),root_2$Q=from_html(" ",1);function ChatMessageStatisticsBadge($$anchor,$$props){ +push$1($$props,!0);let className=prop($$props,"class",3,"");function handleClick(){copyToClipboard(String($$props.value))}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$Q(),node_2=first_child(fragment_2);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger( +$$anchor5,{children:($$anchor6,$$slotProps2)=>{BadgeInfo($$anchor6,{get class(){return className()},onclick:handleClick,icon:$$anchor7=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component(node_3,()=>$$props.icon,($$anchor8,IconComponent_1)=>{IconComponent_1($$anchor8,{class:"h-3 w-3"})}),append($$anchor7,fragment_4)},children:($$anchor7,$$slotProps3)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.value)),append($$anchor7,text2)},$$slots:{icon:!0,default:!0}})}, +$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_6$m(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,$$props.tooltipLabel)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},alternate=$$anchor2=>{BadgeInfo($$anchor2,{get class(){return className()},onclick:handleClick, +icon:$$anchor3=>{var fragment_7=comment$2(),node_5=first_child(fragment_7);component(node_5,()=>$$props.icon,($$anchor4,IconComponent_2)=>{IconComponent_2($$anchor4,{class:"h-3 w-3"})}),append($$anchor3,fragment_7)},children:($$anchor3,$$slotProps)=>{next$1();var text_2=text$8();template_effect(()=>set_text(text_2,$$props.value)),append($$anchor3,text_2)},$$slots:{icon:!0,default:!0}})};if_block(node2,$$render=>{$$props.tooltipLabel?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment), +pop()}var root_3$I=from_html('
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          '),root_11$9=from_html("
          "),root_13$9=from_html('
          '),root_17$4=from_html(" \ +"),root_18$3=from_html(" "),root_15$6=from_html("
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sortedValues){const index2=remaining.indexOf(value);index2!==-1&&(earliestMatch===null||index20&&parts.push({text:remaining. +slice(0,earliestMatch.index),argKey:null}),parts.push({text:earliestMatch.value,argKey:earliestMatch.key}),remaining=remaining.slice(earliestMatch.index+earliestMatch.value.length);else{parts.push({text:remaining,argKey:null});break}}return parts}),showArgBadges=user_derived(()=>get$3(hasArguments)&&!isLoading2()&&!$$props.loadError),isAttachment=user_derived(()=>variant()===McpPromptVariant.ATTACHMENT),textSizeClass=user_derived(()=>get$3(isAttachment)?"text-xs":"text-md"),paddingClass=user_derived( +()=>get$3(isAttachment)?"px-3 py-2":"px-3.75 py-2.5"),maxHeightStyle=user_derived(()=>get$3(isAttachment)?"max-height: 6rem;":"max-height: var(--max-message-height);");const serverFavicon=user_derived(()=>mcpStore.getServerFavicon($$props.prompt.serverName)),serverDisplayName=user_derived(()=>mcpStore.getServerDisplayName($$props.prompt.serverName));var div=root$16(),div_1=child(div),div_2=child(div_1),node2=child(div_2);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2, +{children:($$anchor3,$$slotProps)=>{var fragment=root_1$z(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent=$$anchor6=>{var img=root_3$H();template_effect(()=>set_attribute(img,"src",get$3(serverFavicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor6,img)};if_block( +node_2,$$render=>{get$3(serverFavicon)&&$$render(consequent)})}append($$anchor5,fragment_1)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var span=root_4$t(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,get$3(serverDisplayName))),append($$anchor5,span)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})});var node_4=sibling( +node2,2);TruncatedText(node_4,{get text(){return $$props.prompt.name}}),reset(div_2);var node_5=sibling(div_2,2);{var consequent_1=$$anchor2=>{var div_3=root_5$l();each(div_3,21,()=>get$3(argumentEntries),([key2,value])=>key2,($$anchor3,$$item)=>{var $$array=user_derived(()=>to_array(get$3($$item),2));let key2=()=>get$3($$array)[0],value=()=>get$3($$array)[1];var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor4,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor4, +{children:($$anchor5,$$slotProps)=>{var fragment_3=root_7$k(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span_1=root_8$m(),text_1=child(span_1,!0);reset(span_1),template_effect(()=>{set_class(span_1,1,`rounded-sm bg-purple-200/60 px-1.5 py-0.5 text-[10px] leading-none text-purple-700 transition-opacity dark:bg-purple-800/40 dark:text-purple-300 ${get$3(hoveredArgKey)&&get$3( +hoveredArgKey)!==key2()?"opacity-30":""}`),set_text(text_1,key2())}),event("mouseenter",span_1,()=>set$1(hoveredArgKey,key2(),!0)),event("mouseleave",span_1,()=>set$1(hoveredArgKey,null)),append($$anchor7,span_1)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);component(node_8,()=>Tooltip_content,($$anchor6,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span_2=root_9$f(),text_2=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_2,value())), +append($$anchor7,span_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)}),reset(div_3),append($$anchor2,div_3)};if_block(node_5,$$render=>{get$3(showArgBadges)&&$$render(consequent_1)})}reset(div_1);var node_9=sibling(div_1,2);{var consequent_2=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] border border-destructive/50 bg-destructive/10 backdrop-blur-md",children:($$anchor3,$$slotProps)=>{var div_4=root_11$9(), +span_3=child(div_4),text_3=child(span_3,!0);reset(span_3),reset(div_4),template_effect(()=>{set_class(div_4,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_4,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`),set_class(span_3,1,`${get$3(textSizeClass)??""} text-destructive`),set_text(text_3,$$props.loadError)}),append($$anchor3,div_4)},$$slots:{default:!0}})},consequent_3=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] bo\ +rder border-purple-200 bg-purple-500/10 px-1 py-2 backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor3,$$slotProps)=>{var div_5=root_13$9();template_effect(()=>{set_class(div_5,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_5,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`)}),append($$anchor3,div_5)},$$slots:{default:!0}})},consequent_5=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] borde\ +r border-purple-200 bg-purple-500/10 py-0 text-foreground backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor3,$$slotProps)=>{var div_6=root_15$6(),span_4=child(div_6);each(span_4,21,()=>get$3(contentParts),index$2,($$anchor4,part)=>{var fragment_7=comment$2(),node_10=first_child(fragment_7);{var consequent_4=$$anchor5=>{var span_5=root_17$4(),text_4=child(span_5,!0);reset(span_5),template_effect(()=>{set_class(span_5,1,`rounded-sm bg-purple-300/50 px-0.5 text-purpl\ +e-900 transition-opacity dark:bg-purple-700/50 dark:text-purple-100 ${get$3(hoveredArgKey)&&get$3(hoveredArgKey)!==get$3(part).argKey?"opacity-30":""}`),set_text(text_4,get$3(part).text)}),event("mouseenter",span_5,()=>set$1(hoveredArgKey,get$3(part).argKey,!0)),event("mouseleave",span_5,()=>set$1(hoveredArgKey,null)),append($$anchor5,span_5)},alternate=$$anchor5=>{var span_6=root_18$3(),text_5=child(span_6,!0);reset(span_6),template_effect(()=>{set_class(span_6,1,`transition-opacity ${get$3(hoveredArgKey)? +"opacity-30":""}`),set_text(text_5,get$3(part).text)}),append($$anchor5,span_6)};if_block(node_10,$$render=>{get$3(part).argKey?$$render(consequent_4):$$render(alternate,-1)})}append($$anchor4,fragment_7)}),reset(span_4),reset(div_6),template_effect(()=>{set_class(div_6,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_6,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`),set_class(span_4,1,`${get$3(textSizeClass)??""} whitespace-pre-wrap`)}),append($$anchor3, +div_6)},$$slots:{default:!0}})};if_block(node_9,$$render=>{$$props.loadError?$$render(consequent_2):isLoading2()?$$render(consequent_3,1):get$3(hasContent)&&$$render(consequent_5,2)})}reset(div),template_effect(()=>set_class(div,1,`flex flex-col gap-2 ${className()??""}`)),append($$anchor,div),pop()}function useProcessingState(){let isMonitoring=state$1(!1),lastKnownState=state$1(null),lastKnownProcessingStats=state$1(null);const processingState=user_derived(()=>get$3(isMonitoring)?activeProcessingState(): +get$3(lastKnownState));user_effect(()=>{get$3(processingState)&&get$3(isMonitoring)&&set$1(lastKnownState,get$3(processingState),!0)}),user_effect(()=>{if(get$3(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed>0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3);set$1(lastKnownProcessingStats,{tokensProcessed:actualProcessed,totalTokens:actualTotal, +timeMs:time_ms,tokensPerSecond},!0)}}});function getETASecs(done,total,elapsedMs){const elapsedSecs=elapsedMs/1e3;return done===0||elapsedSecs<.5?void 0:elapsedSecs*(total/done-1)}function startMonitoring(){get$3(isMonitoring)||set$1(isMonitoring,!0)}function stopMonitoring(){if(!get$3(isMonitoring))return;set$1(isMonitoring,!1),config$1().keepStatsVisible||(set$1(lastKnownState,null),set$1(lastKnownProcessingStats,null))}function getProcessingMessage(){if(!get$3(processingState))return"Processi\ +ng...";switch(get$3(processingState).status){case"initializing":return"Initializing...";case"preparing":return get$3(processingState).progressPercent!==void 0?`Processing (${get$3(processingState).progressPercent}%)`:"Preparing response...";case"generating":return"";default:return"Processing..."}}function getProcessingDetails(){const stateToUse=get$3(processingState)||get$3(lastKnownState);if(!stateToUse)return[];const details=[];if(stateToUse.promptProgress){const{processed,total,time_ms,cache:cache2}=stateToUse. +promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed0){const percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs(actualProcessed,actualTotal,time_ms);if(eta!==void 0){const etaSecs=Math.ceil(eta);details.push(`Processing ${percent}% (ETA: ${etaSecs}s)`)}else details.push(`Processing ${percent}%`)}}if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math. +round(stateToUse.contextUsed/stateToUse.contextTotal*100);details.push(`Context: ${stateToUse.contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`)}if(stateToUse.outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse. +tokensPerSecond&&stateToUse.tokensPerSecond>0&&details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),stateToUse.speculative&&details.push("Speculative decoding enabled"),details}function getTechnicalDetails(){const stateToUse=get$3(processingState)||get$3(lastKnownState);if(!stateToUse)return[];const details=[];if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math.round(stateToUse.contextUsed/ +stateToUse.contextTotal*100);details.push(`Context: ${stateToUse.contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`)}if(stateToUse.outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse.tokensPerSecond&&stateToUse. +tokensPerSecond>0&&details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),stateToUse.speculative&&details.push("Speculative decoding enabled"),details}function shouldShowDetails(){return get$3(processingState)!==null&&get$3(processingState).status!=="idle"}function getPromptProgressText(){if(!get$3(processingState)?.promptProgress)return null;const{processed,total,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total- +cache2,percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs(actualProcessed,actualTotal,get$3(processingState).promptProgress.time_ms);if(eta!==void 0){const etaSecs=Math.ceil(eta);return`Processing ${percent}% (ETA: ${etaSecs}s)`}return`Processing ${percent}%`}function getLiveProcessingStats(){if(get$3(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed> +0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3);return{tokensProcessed:actualProcessed,totalTokens:actualTotal,timeMs:time_ms,tokensPerSecond}}}return get$3(lastKnownProcessingStats)}function getLiveGenerationStats(){if(!get$3(processingState))return null;const{tokensDecoded,tokensPerSecond}=get$3(processingState);if(tokensDecoded<=0)return null;const timeMs=tokensPerSecond&&tokensPerSecond>0?tokensDecoded/tokensPerSecond*1e3:0;return{tokensGenerated:tokensDecoded,timeMs,tokensPerSecond:tokensPerSecond|| +0}}return{get processingState(){return get$3(processingState)},getProcessingDetails,getTechnicalDetails,getProcessingMessage,getPromptProgressText,getLiveProcessingStats,getLiveGenerationStats,shouldShowDetails,startMonitoring,stopMonitoring}}var root_1$y=from_html('
          '),root_4$s=from_html('
          '),root_6$l=from_html( +'
          '),root_7$j=from_html('
          '),root_8$l=from_html('
          '),root$15=from_html('
          ');function ChatMessageAssistant($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),toolMessages=prop($$props,"toolMessages",19,()=>[]),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext(),isAgentic=user_derived(()=>hasAgenticContent($$props.message,toolMessages())),processingState=useProcessingState();let currentConfig=user_derived(config$1),isRouter=user_derived(isRouterMode), +showRawOutput=state$1(!1),rawOutputContent=user_derived(()=>{const sections=deriveAgenticSections($$props.message,toolMessages(),[],!1),parts=[];for(const section of sections)switch(section.type){case AgenticSectionType.REASONING:case AgenticSectionType.REASONING_PENDING:parts.push(`${REASONING_TAGS.START} +${section.content} +${REASONING_TAGS.END}`);break;case AgenticSectionType.TEXT:parts.push(section.content);break;case AgenticSectionType.TOOL_CALL:case AgenticSectionType.TOOL_CALL_PENDING:case AgenticSectionType.TOOL_CALL_STREAMING:{const callObj={name:section.toolName};if(section.toolArgs)try{callObj.arguments=JSON.parse(section.toolArgs)}catch{callObj.arguments=section.toolArgs}parts.push(JSON.stringify(callObj,null,2)),section.toolResult&&parts.push(`[Tool Result] +${section.toolResult}`);break}}return parts.join(` `)}),activeStatsView=state$1(proxy(ChatMessageStatsView.GENERATION)),statsContainerEl=state$1(void 0);function getScrollParent(el){let parent=el.parentElement;for(;parent;){const style2=getComputedStyle(parent);if(/(auto|scroll)/.test(style2.overflowY))return parent;parent=parent.parentElement}return null}async function handleStatsViewChange(view){const el=get$3(statsContainerEl);if(!el){set$1(activeStatsView,view,!0);return}const scrollParent=getScrollParent(el);if(!scrollParent){set$1(activeStatsView, view,!0);return}const yBefore=el.getBoundingClientRect().top;set$1(activeStatsView,view,!0),await tick();const delta=el.getBoundingClientRect().top-yBefore;delta!==0&&(scrollParent.scrollTop+=delta),requestAnimationFrame(()=>{const drift=el.getBoundingClientRect().top-yBefore;Math.abs(drift)>1&&(scrollParent.scrollTop+=drift)})}let highlightAgenticTurns=user_derived(()=>get$3(isAgentic)&&(get$3(currentConfig).alwaysShowAgenticTurns||get$3(activeStatsView)===ChatMessageStatsView.SUMMARY)),displayedModel=user_derived( ()=>$$props.message.model??null),isCurrentlyLoading=user_derived(isLoading),isStreaming=user_derived(isChatStreaming),hasNoContent=user_derived(()=>!$$props.message?.content?.trim()),isActivelyProcessing=user_derived(()=>get$3(isCurrentlyLoading)||get$3(isStreaming)),showProcessingInfoTop=user_derived(()=>$$props.message?.role===MessageRole.ASSISTANT&&get$3(isActivelyProcessing)&&get$3(hasNoContent)&&!get$3(isAgentic)&&isLastAssistantMessage()),showProcessingInfoBottom=user_derived(()=>$$props.message?. -role===MessageRole.ASSISTANT&&get$3(isActivelyProcessing)&&(!get$3(hasNoContent)||get$3(isAgentic))&&isLastAssistantMessage());function handleCopyModel(){copyToClipboard(get$3(displayedModel)??"")}user_effect(()=>{editCtx.isEditing&&textareaElement()&&autoResizeTextarea(textareaElement())}),user_effect(()=>{(get$3(showProcessingInfoTop)||get$3(showProcessingInfoBottom))&&processingState.startMonitoring()});var div=root$C(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$h(),div_2=child( -div_1),span=child(div_2),text2=child(span,!0);reset(span),reset(div_2),reset(div_1),template_effect($0=>set_text(text2,$0),[()=>processingState.getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_1,()=>fade),append($$anchor2,div_1)};if_block(node2,$$render=>{get$3(showProcessingInfoTop)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{var div_3=root_2$m(),textarea=child(div_3);remove_textarea_child(textarea),bind_this( -textarea,$$value=>textareaElement($$value),()=>textareaElement());var div_4=sibling(textarea,2),div_5=child(div_4),node_2=child(div_5);Checkbox(node_2,{id:"branch-after-edit",onCheckedChange:checked=>set$1(shouldBranchAfterEdit,checked===!0),get checked(){return get$3(shouldBranchAfterEdit)},set checked($$value){set$1(shouldBranchAfterEdit,$$value,!0)}});var node_3=sibling(node_2,2);Label(node_3,{for:"branch-after-edit",class:"cursor-pointer text-sm text-muted-foreground",children:($$anchor3,$$slotProps)=>{ -next$1();var text_1=text$8("Branch conversation after edit");append($$anchor3,text_1)},$$slots:{default:!0}}),reset(div_5);var div_6=sibling(div_5,2),node_4=child(div_6);Button(node_4,{class:"h-8 px-3",get onclick(){return editCtx.cancel},size:"sm",variant:"outline",children:($$anchor3,$$slotProps)=>{var fragment=root_4$a(),node_5=first_child(fragment);X(node_5,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}});var node_6=sibling(node_4,2);{let $0=user_derived(()=>!editCtx. -editedContent?.trim());Button(node_6,{class:"h-8 px-3",get onclick(){return editCtx.save},get disabled(){return get$3($0)},size:"sm",children:($$anchor3,$$slotProps)=>{var fragment_1=root_5$b(),node_7=first_child(fragment_1);Check(node_7,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_6),reset(div_4),reset(div_3),template_effect(()=>{set_value(textarea,editCtx.editedContent),set_class(textarea,1,`min-h-[50vh] w-full resize-y rounded-2xl px-3 py-2 t\ -ext-sm ${INPUT_CLASSES??""}`,"svelte-14103tf")}),delegated("keydown",textarea,handleEditKeydown),delegated("input",textarea,e=>{autoResizeTextarea(e.currentTarget),editCtx.setContent(e.currentTarget.value)}),append($$anchor2,div_3)},consequent_3=$$anchor2=>{var fragment_2=comment$2(),node_8=first_child(fragment_2);{var consequent_2=$$anchor3=>{var pre=root_7$9(),text_2=child(pre,!0);reset(pre),template_effect(()=>set_text(text_2,get$3(rawOutputContent)||"")),append($$anchor3,pre)},alternate=$$anchor3=>{ -{let $0=user_derived(isChatStreaming);ChatMessageAgenticContent($$anchor3,{get message(){return $$props.message},get toolMessages(){return toolMessages()},get isStreaming(){return get$3($0)},get isLastAssistantMessage(){return isLastAssistantMessage()},get highlightTurns(){return get$3(highlightAgenticTurns)}})}};if_block(node_8,$$render=>{get$3(showRawOutput)?$$render(consequent_2):$$render(alternate,-1)})}append($$anchor2,fragment_2)},alternate_1=$$anchor2=>{var div_7=root_9$7(),text_3=child(div_7, -!0);reset(div_7),template_effect(()=>set_text(text_3,$$props.messageContent)),append($$anchor2,div_7)};if_block(node_1,$$render=>{editCtx.isEditing?$$render(consequent_1):$$props.message.role===MessageRole.ASSISTANT?$$render(consequent_3,1):$$render(alternate_1,-1)})}var node_9=sibling(node_1,2);{var consequent_4=$$anchor2=>{var div_8=root_10$4(),div_9=child(div_8),span_1=child(div_9),text_4=child(span_1,!0);reset(span_1),reset(div_9),reset(div_8),template_effect($0=>set_text(text_4,$0),[()=>processingState. -getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_8,()=>fade),append($$anchor2,div_8)};if_block(node_9,$$render=>{get$3(showProcessingInfoBottom)&&$$render(consequent_4)})}var div_10=sibling(node_9,2),node_10=child(div_10);{var consequent_9=$$anchor2=>{var div_11=root_11$4(),node_11=child(div_11);{var consequent_5=$$anchor3=>{{let $0=user_derived(isLoading);ModelsSelectorDropdown($$anchor3,{get currentModel(){return get$3(displayedModel)},get disabled(){ -return get$3($0)},onModelChange:async(modelId,modelName)=>(modelsStore.getModelStatus(modelId)!==ServerModelStatus.LOADED&&await modelsStore.loadModel(modelId),$$props.onRegenerate(modelName),!0)})}},alternate_2=$$anchor3=>{{let $0=user_derived(()=>get$3(displayedModel)||void 0);ModelBadge($$anchor3,{get model(){return get$3($0)},onclick:handleCopyModel})}};if_block(node_11,$$render=>{get$3(isRouter)?$$render(consequent_5):$$render(alternate_2,-1)})}var node_12=sibling(node_11,2);{var consequent_6=$$anchor3=>{ -const agentic=user_derived(()=>$$props.message.timings.agentic);{let $0=user_derived(()=>get$3(agentic)?get$3(agentic).llm.prompt_n:$$props.message.timings.prompt_n),$1=user_derived(()=>get$3(agentic)?get$3(agentic).llm.prompt_ms:$$props.message.timings.prompt_ms),$2=user_derived(()=>get$3(agentic)?get$3(agentic).llm.predicted_n:$$props.message.timings.predicted_n),$3=user_derived(()=>get$3(agentic)?get$3(agentic).llm.predicted_ms:$$props.message.timings.predicted_ms);ChatMessageStatistics($$anchor3, -{get promptTokens(){return get$3($0)},get promptMs(){return get$3($1)},get predictedTokens(){return get$3($2)},get predictedMs(){return get$3($3)},get agenticTimings(){return get$3(agentic)},onActiveViewChange:handleStatsViewChange})}},consequent_8=$$anchor3=>{const liveStats=user_derived(()=>processingState.getLiveProcessingStats()),genStats=user_derived(()=>processingState.getLiveGenerationStats()),promptProgress=user_derived(()=>processingState.processingState?.promptProgress),isStillProcessingPrompt=user_derived( -()=>get$3(promptProgress)&&get$3(promptProgress).processed{{let $0=user_derived(()=>!!get$3(isStillProcessingPrompt)),$1=user_derived(()=>get$3(liveStats)?.tokensProcessed),$2=user_derived(()=>get$3(liveStats)?.timeMs),$3=user_derived(()=>get$3(genStats)?.tokensGenerated),$4=user_derived(()=>get$3(genStats)?.timeMs);ChatMessageStatistics($$anchor4,{isLive:!0,get isProcessingPrompt(){ -return get$3($0)},get promptTokens(){return get$3($1)},get promptMs(){return get$3($2)},get predictedTokens(){return get$3($3)},get predictedMs(){return get$3($4)}})}};if_block(node_13,$$render=>{(get$3(liveStats)||get$3(genStats))&&$$render(consequent_7)})}append($$anchor3,fragment_7)},d2=user_derived(()=>isLoading()&&get$3(currentConfig).showMessageStats);if_block(node_12,$$render=>{get$3(currentConfig).showMessageStats&&$$props.message.timings&&$$props.message.timings.predicted_n&&$$props.message. -timings.predicted_ms?$$render(consequent_6):get$3(d2)&&$$render(consequent_8,1)})}reset(div_11),bind_this(div_11,$$value=>set$1(statsContainerEl,$$value),()=>get$3(statsContainerEl)),append($$anchor2,div_11)};if_block(node_10,$$render=>{get$3(displayedModel)&&$$render(consequent_9)})}reset(div_10);var node_14=sibling(div_10,2);{var consequent_10=$$anchor2=>{{let $0=user_derived(()=>get$3(currentConfig).enableContinueGeneration&&!get$3(hasReasoning)?$$props.onContinue:void 0);ChatMessageActions($$anchor2, -{get role(){return MessageRole.ASSISTANT},justify:"start",actionsPosition:"left",get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get deletionInfo(){return $$props.deletionInfo},get onCopy(){return $$props.onCopy},get onEdit(){return $$props.onEdit},get onRegenerate(){return $$props.onRegenerate},get onContinue(){return get$3($0)},get onForkConversation(){return $$props.onForkConversation},get onDelete(){return $$props.onDelete},get onConfirmDelete(){ -return $$props.onConfirmDelete},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get showRawOutputSwitch(){return get$3(currentConfig).showRawOutputSwitch},get rawOutputEnabled(){return get$3(showRawOutput)},onRawOutputToggle:enabled=>set$1(showRawOutput,enabled,!0)})}};if_block(node_14,$$render=>{$$props.message.timestamp&&!editCtx.isEditing&&$$render(consequent_10)})}reset(div),template_effect(()=>set_class(div, -1,`text-md group w-full leading-7.5 ${className()??""}`,"svelte-14103tf")),append($$anchor,div),pop()}delegate(["keydown","input"]);class AutoScrollController{#_autoScrollEnabled=state$1(!0);get _autoScrollEnabled(){return get$3(this.#_autoScrollEnabled)}set _autoScrollEnabled(value){set$1(this.#_autoScrollEnabled,value,!0)}#_userScrolledUp=state$1(!1);get _userScrolledUp(){return get$3(this.#_userScrolledUp)}set _userScrolledUp(value){set$1(this.#_userScrolledUp,value,!0)}#_lastScrollTop=state$1( -0);get _lastScrollTop(){return get$3(this.#_lastScrollTop)}set _lastScrollTop(value){set$1(this.#_lastScrollTop,value,!0)}_scrollInterval;_scrollTimeout;_container;_disabled;_isColumnReverse;_mutationObserver=null;_rafPending=!1;_observerEnabled=!1;constructor(options={}){this._disabled=options.disabled??!1,this._isColumnReverse=options.isColumnReverse??!1}get autoScrollEnabled(){return this._autoScrollEnabled}get userScrolledUp(){return this._userScrolledUp}setContainer(container2){this._doStopObserving(), -this._container=container2,this._observerEnabled&&container2&&!this._disabled&&this._doStartObserving()}setDisabled(disabled){this._disabled=disabled,disabled?(this._autoScrollEnabled=!1,this.stopInterval(),this._doStopObserving()):this._observerEnabled&&this._container&&!this._mutationObserver&&this._doStartObserving()}handleScroll(){if(this._disabled||!this._container)return;const{scrollTop,scrollHeight,clientHeight}=this._container;let distanceFromBottom,isScrollingUp;this._isColumnReverse?(distanceFromBottom= -Math.abs(scrollTop),isScrollingUp=scrollTop{isAtBottom&& -(this._userScrolledUp=!1,this._autoScrollEnabled=!0)},AUTO_SCROLL_INTERVAL),this._lastScrollTop=scrollTop}scrollToBottom(behavior="smooth"){this._disabled||!this._container||(this._isColumnReverse?this._container.scrollTo({top:0,behavior}):this._container.scrollTo({top:this._container.scrollHeight,behavior}))}enable(){this._disabled||(this._userScrolledUp=!1,this._autoScrollEnabled=!0)}startInterval(){this._disabled||this._scrollInterval||(this._scrollInterval=setInterval(()=>{this.scrollToBottom()}, -AUTO_SCROLL_INTERVAL))}stopInterval(){this._scrollInterval&&(clearInterval(this._scrollInterval),this._scrollInterval=void 0)}updateInterval(isStreaming){if(this._disabled){this.stopInterval();return}isStreaming&&this._autoScrollEnabled?this._scrollInterval||this.startInterval():this.stopInterval()}destroy(){this.stopInterval(),this._doStopObserving(),this._scrollTimeout&&(clearTimeout(this._scrollTimeout),this._scrollTimeout=void 0)}startObserving(){this._observerEnabled=!0,this._container&&!this. -_disabled&&!this._mutationObserver&&this._doStartObserving()}stopObserving(){this._observerEnabled=!1,this._doStopObserving()}_doStartObserving(){if(!this._container||this._mutationObserver)return;const isReverse=this._isColumnReverse;this._mutationObserver=new MutationObserver(()=>{!this._autoScrollEnabled||this._rafPending||(this._rafPending=!0,requestAnimationFrame(()=>{this._rafPending=!1,this._autoScrollEnabled&&this._container&&(isReverse?this._container.scrollTop=0:this._container.scrollTop= -this._container.scrollHeight)}))}),this._mutationObserver.observe(this._container,{childList:!0,subtree:!0,characterData:!0})}_doStopObserving(){this._mutationObserver&&(this._mutationObserver.disconnect(),this._mutationObserver=null),this._rafPending=!1}}function createAutoScrollController(options={}){return new AutoScrollController(options)}function useKeyboardShortcuts(callbacks){function handleKeydown(event2){const isCtrlOrCmd=event2.ctrlKey||event2.metaKey;isCtrlOrCmd&&event2.key===KeyboardKey. -K_LOWER&&(event2.preventDefault(),callbacks.activateSearchMode?.(),callbacks.onSearchActivated?.()),isCtrlOrCmd&&event2.shiftKey&&event2.key===KeyboardKey.O_UPPER&&(event2.preventDefault(),goto("?new_chat=true#/")),event2.shiftKey&&isCtrlOrCmd&&event2.key===KeyboardKey.E_UPPER&&(event2.preventDefault(),callbacks.editActiveConversation?.()),isCtrlOrCmd&&event2.shiftKey&&(event2.key===KeyboardKey.D_LOWER||event2.key===KeyboardKey.D_UPPER)&&(event2.preventDefault(),callbacks.deleteActiveConversation?.())} -return{handleKeydown}}var root$B=from_html('

          Attach a file

          Drop your files here to upload

          ');function ChatScreenDragOverlay($$anchor){var div=root$B(), -div_1=child(div),node2=child(div_1);Upload(node2,{class:"mb-4 h-12 w-12 text-muted-foreground"}),next$1(4),reset(div_1),reset(div),append($$anchor,div)}var root_5$a=from_html('

          Hello there

          '),root_9$6=from_html('Server unavailable ',1),root_8$a=from_html(" ",1),root_7$8=from_html('
          '),root_3$d=from_html('
          '),root_14$2=from_html(" ",1),root_18$2=from_html('

          File type not supported

          '),root_17$2=from_html('

          Unsupported File Types

          '),root_20$1=from_html('

          '),root_19$3=from_html('
          '),root_13$2=from_html('

          This model supports:

          ',1),root_12$3=from_html(" ",1), -root$A=from_html(" ",1);function ChatScreen($$anchor,$$props){push$1($$props,!0);let showCenteredEmpty=prop($$props,"showCenteredEmpty",3,!1),disableAutoScroll=user_derived(()=>!!config$1().disableAutoScroll),chatScrollContainer=state$1(void 0),dragCounter=state$1(0),isDragOver=state$1(!1),showFileErrorDialog=state$1(!1),uploadedFiles=state$1(proxy([]));const autoScroll=createAutoScrollController({isColumnReverse:!0});let fileErrorData=state$1(proxy({generallyUnsupported:[], -modalityUnsupported:[],modalityReasons:{},supportedTypes:[]})),showDeleteDialog=state$1(!1),showEmptyFileDialog=state$1(!1),emptyFileNames=state$1(proxy([])),initialMessage=state$1(""),isEmpty=user_derived(()=>showCenteredEmpty()&&!activeConversation()&&activeMessages().length===0&&!isLoading()),activeErrorDialog=user_derived(errorDialog),isServerLoading=user_derived(serverLoading),hasPropsError=user_derived(()=>!!serverError()),isCurrentConversationLoading=user_derived(()=>isLoading()||isChatStreaming()), -showProcessingInfo=user_derived(()=>get$3(isCurrentConversationLoading)||config$1().keepStatsVisible&&!!page$1.params.id||activeProcessingState()!==null);setProcessingInfoContext({get showProcessingInfo(){return get$3(showProcessingInfo)}});let isRouter=user_derived(isRouterMode),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId(); -if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}),modelPropsVersion=state$1(0);user_effect(()=>{get$3(activeModelId)&&(modelsStore.getModelProps(get$3(activeModelId))||modelsStore.fetchModelProps(get$3(activeModelId)).then(()=>{update$1(modelPropsVersion)}))});let hasAudioModality=user_derived(()=>get$3(activeModelId)?(get$3( -modelPropsVersion),modelsStore.modelSupportsAudio(get$3(activeModelId))):!1),hasVisionModality=user_derived(()=>get$3(activeModelId)?(get$3(modelPropsVersion),modelsStore.modelSupportsVision(get$3(activeModelId))):!1);async function handleDeleteConfirm(){const conversation=activeConversation();conversation&&await conversationsStore.deleteConversation(conversation.id),set$1(showDeleteDialog,!1)}function handleDragEnter(event2){event2.preventDefault(),update$1(dragCounter),event2.dataTransfer?.types. -includes("Files")&&set$1(isDragOver,!0)}function handleDragLeave(event2){event2.preventDefault(),update$1(dragCounter,-1),get$3(dragCounter)===0&&set$1(isDragOver,!1)}function handleErrorDialogOpenChange(open2){open2||chatStore.dismissErrorDialog()}function handleDragOver(event2){event2.preventDefault()}function handleDrop(event2){if(event2.preventDefault(),set$1(isDragOver,!1),set$1(dragCounter,0),event2.dataTransfer?.files){const files=Array.from(event2.dataTransfer.files);if(isEditing()){const handler=getAddFilesHandler(); +role===MessageRole.ASSISTANT&&get$3(isActivelyProcessing)&&(!get$3(hasNoContent)||get$3(isAgentic))&&isLastAssistantMessage());function handleCopyModel(){copyToClipboard(get$3(displayedModel)??"")}user_effect(()=>{(get$3(showProcessingInfoTop)||get$3(showProcessingInfoBottom))&&processingState.startMonitoring()});var div=root$15(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$y(),div_2=child(div_1),span=child(div_2),text2=child(span,!0);reset(span),reset(div_2),reset(div_1),template_effect( +$0=>set_text(text2,$0),[()=>processingState.getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_1,()=>fade),append($$anchor2,div_1)};if_block(node2,$$render=>{get$3(showProcessingInfoTop)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_2=$$anchor3=>{var pre=root_4$s(),text_1=child(pre, +!0);reset(pre),template_effect(()=>set_text(text_1,get$3(rawOutputContent)||"")),append($$anchor3,pre)},alternate=$$anchor3=>{{let $0=user_derived(isChatStreaming);ChatMessageAgenticContent($$anchor3,{get message(){return $$props.message},get toolMessages(){return toolMessages()},get isStreaming(){return get$3($0)},get isLastAssistantMessage(){return isLastAssistantMessage()},get highlightTurns(){return get$3(highlightAgenticTurns)}})}};if_block(node_2,$$render=>{get$3(showRawOutput)?$$render(consequent_2): +$$render(alternate,-1)})}append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{var div_3=root_6$l(),text_2=child(div_3,!0);reset(div_3),template_effect(()=>set_text(text_2,$$props.messageContent)),append($$anchor2,div_3)};if_block(node_1,$$render=>{editCtx.isEditing?$$render(consequent_1):$$props.message.role===MessageRole.ASSISTANT?$$render(consequent_3,1):$$render(alternate_1,-1)})}var node_3=sibling(node_1,2);{var consequent_4=$$anchor2=>{var div_4=root_7$j(),div_5=child(div_4),span_1=child(div_5), +text_3=child(span_1,!0);reset(span_1),reset(div_5),reset(div_4),template_effect($0=>set_text(text_3,$0),[()=>processingState.getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_4,()=>fade),append($$anchor2,div_4)};if_block(node_3,$$render=>{get$3(showProcessingInfoBottom)&&$$render(consequent_4)})}var div_6=sibling(node_3,2),node_4=child(div_6);{var consequent_9=$$anchor2=>{var div_7=root_8$l(),node_5=child(div_7);{var consequent_5=$$anchor3=>{{let $0=user_derived( +isLoading);ModelsSelectorDropdown($$anchor3,{get currentModel(){return get$3(displayedModel)},get disabled(){return get$3($0)},onModelChange:async(modelId,modelName)=>(modelsStore.getModelStatus(modelId)!==ServerModelStatus.LOADED&&await modelsStore.loadModel(modelId),$$props.onRegenerate(modelName),!0)})}},alternate_2=$$anchor3=>{{let $0=user_derived(()=>get$3(displayedModel)||void 0);ModelBadge($$anchor3,{get model(){return get$3($0)},onclick:handleCopyModel})}};if_block(node_5,$$render=>{get$3( +isRouter)?$$render(consequent_5):$$render(alternate_2,-1)})}var node_6=sibling(node_5,2);{var consequent_6=$$anchor3=>{const agentic=user_derived(()=>$$props.message.timings.agentic);{let $0=user_derived(()=>get$3(agentic)?get$3(agentic).llm.prompt_n:$$props.message.timings.prompt_n),$1=user_derived(()=>get$3(agentic)?get$3(agentic).llm.prompt_ms:$$props.message.timings.prompt_ms),$2=user_derived(()=>get$3(agentic)?get$3(agentic).llm.predicted_n:$$props.message.timings.predicted_n),$3=user_derived( +()=>get$3(agentic)?get$3(agentic).llm.predicted_ms:$$props.message.timings.predicted_ms);ChatMessageStatistics($$anchor3,{get promptTokens(){return get$3($0)},get promptMs(){return get$3($1)},get predictedTokens(){return get$3($2)},get predictedMs(){return get$3($3)},get agenticTimings(){return get$3(agentic)},onActiveViewChange:handleStatsViewChange})}},consequent_8=$$anchor3=>{const liveStats=user_derived(()=>processingState.getLiveProcessingStats()),genStats=user_derived(()=>processingState.getLiveGenerationStats()), +promptProgress=user_derived(()=>processingState.processingState?.promptProgress),isStillProcessingPrompt=user_derived(()=>get$3(promptProgress)&&get$3(promptProgress).processed{{let $0=user_derived(()=>!!get$3(isStillProcessingPrompt)),$1=user_derived(()=>get$3(liveStats)?.tokensProcessed),$2=user_derived(()=>get$3(liveStats)?.timeMs),$3=user_derived(()=>get$3(genStats)?.tokensGenerated), +$4=user_derived(()=>get$3(genStats)?.timeMs);ChatMessageStatistics($$anchor4,{isLive:!0,get isProcessingPrompt(){return get$3($0)},get promptTokens(){return get$3($1)},get promptMs(){return get$3($2)},get predictedTokens(){return get$3($3)},get predictedMs(){return get$3($4)}})}};if_block(node_7,$$render=>{(get$3(liveStats)||get$3(genStats))&&$$render(consequent_7)})}append($$anchor3,fragment_6)},d2=user_derived(()=>isLoading()&&get$3(currentConfig).showMessageStats);if_block(node_6,$$render=>{get$3( +currentConfig).showMessageStats&&$$props.message.timings&&$$props.message.timings.predicted_n&&$$props.message.timings.predicted_ms?$$render(consequent_6):get$3(d2)&&$$render(consequent_8,1)})}reset(div_7),bind_this(div_7,$$value=>set$1(statsContainerEl,$$value),()=>get$3(statsContainerEl)),append($$anchor2,div_7)};if_block(node_4,$$render=>{get$3(displayedModel)&&$$render(consequent_9)})}reset(div_6);var node_8=sibling(div_6,2);{var consequent_10=$$anchor2=>{{let $0=user_derived(()=>get$3(currentConfig). +enableContinueGeneration?$$props.onContinue:void 0);ChatMessageActionIcons($$anchor2,{get role(){return MessageRole.ASSISTANT},justify:"start",actionsPosition:"left",get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get deletionInfo(){return $$props.deletionInfo},get onCopy(){return $$props.onCopy},get onEdit(){return $$props.onEdit},get onRegenerate(){return $$props.onRegenerate},get onContinue(){return get$3($0)},get onForkConversation(){return $$props. +onForkConversation},get onDelete(){return $$props.onDelete},get onConfirmDelete(){return $$props.onConfirmDelete},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get showRawOutputSwitch(){return get$3(currentConfig).showRawOutputSwitch},get rawOutputEnabled(){return get$3(showRawOutput)},onRawOutputToggle:enabled=>set$1(showRawOutput,enabled,!0)})}};if_block(node_8,$$render=>{$$props.message.timestamp&&!editCtx. +isEditing&&$$render(consequent_10)})}reset(div),template_effect(()=>set_class(div,1,`text-md group w-full leading-7.5 ${className()??""}`,"svelte-3902tz")),append($$anchor,div),pop()}var root_1$x=from_html('
          '),root_2$O=from_html('
          '),root_3$G=from_html("
          "),root_4$r=from_html(" Cancel",1),root$14=from_html('
          ',1);function ChatMessageEditForm($$anchor,$$props){push$1($$props,!0);const editCtx=getMessageEditContext();let saveWithoutRegenerate=state$1(!1),showDiscardDialog=state$1(!1),branchAfterEdit=state$1(!1),isUserMessage=user_derived( +()=>editCtx.messageRole===MessageRole.USER),isAssistantMessage=user_derived(()=>editCtx.messageRole===MessageRole.ASSISTANT),hasUnsavedChanges=user_derived(()=>!!(editCtx.editedContent!==editCtx.originalContent||editCtx.editedUploadedFiles.length>0||editCtx.editedExtras.length!==editCtx.originalExtras.length||editCtx.editedExtras.some((extra,i)=>extra!==editCtx.originalExtras[i]))),hasAttachments=user_derived(()=>editCtx.editedExtras&&editCtx.editedExtras.length>0||editCtx.editedUploadedFiles&&editCtx. +editedUploadedFiles.length>0),canSubmit=user_derived(()=>editCtx.editedContent.trim().length>0||get$3(hasAttachments));function handleGlobalKeydown(event2){event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),attemptCancel())}function attemptCancel(){get$3(hasUnsavedChanges)?set$1(showDiscardDialog,!0):editCtx.cancel()}function handleSubmit(){get$3(canSubmit)&&(get$3(isUserMessage)&&get$3(saveWithoutRegenerate)&&editCtx.showSaveOnlyOption?editCtx.saveOnly():(get$3(isAssistantMessage)&&editCtx. +setShouldBranchAfterEdit&&editCtx.setShouldBranchAfterEdit(get$3(branchAfterEdit)),editCtx.save()),set$1(saveWithoutRegenerate,!1),set$1(branchAfterEdit,!1))}function handleAttachmentRemove(index2){const newExtras=[...editCtx.editedExtras];newExtras.splice(index2,1),editCtx.setExtras(newExtras)}function handleUploadedFileRemove(fileId){const newFiles=editCtx.editedUploadedFiles.filter(f=>f.id!==fileId);editCtx.setUploadedFiles(newFiles)}async function handleFilesAdd(files){const processed=await processFilesToChatUploaded( +files);editCtx.setUploadedFiles([...editCtx.editedUploadedFiles,...processed])}user_effect(()=>(chatStore.setEditModeActive(handleFilesAdd),()=>{chatStore.clearEditMode()}));var fragment=root$14();event("keydown",$window,handleGlobalKeydown);var div=first_child(fragment),node2=child(div);{let $0=user_derived(()=>editCtx.messageRole===MessageRole.USER),$1=user_derived(()=>editCtx.messageRole===MessageRole.USER);ChatForm(node2,{get value(){return editCtx.editedContent},get attachments(){return editCtx. +editedExtras},placeholder:"Edit your message...",showMcpPromptButton:!0,get showAddButton(){return get$3($0)},get showModelSelector(){return get$3($1)},get onValueChange(){return editCtx.setContent},onAttachmentRemove:handleAttachmentRemove,onUploadedFileRemove:handleUploadedFileRemove,onFilesAdd:handleFilesAdd,onSubmit:handleSubmit,get uploadedFiles(){return editCtx.editedUploadedFiles},set uploadedFiles($$value){editCtx.editedUploadedFiles=$$value}})}reset(div);var div_1=sibling(div,2),node_1=child( +div_1);{var consequent=$$anchor2=>{var div_2=root_1$x(),node_2=child(div_2);Switch(node_2,{id:"save-only-switch",class:"scale-75",get checked(){return get$3(saveWithoutRegenerate)},set checked($$value){set$1(saveWithoutRegenerate,$$value,!0)}}),next$1(2),reset(div_2),append($$anchor2,div_2)},consequent_1=$$anchor2=>{var div_3=root_2$O(),node_3=child(div_3);Switch(node_3,{id:"branch-after-edit",class:"scale-75",get checked(){return get$3(branchAfterEdit)},set checked($$value){set$1(branchAfterEdit, +$$value,!0)}}),next$1(2),reset(div_3),append($$anchor2,div_3)},alternate=$$anchor2=>{var div_4=root_3$G();append($$anchor2,div_4)};if_block(node_1,$$render=>{get$3(isUserMessage)&&editCtx.showSaveOnlyOption?$$render(consequent):get$3(isAssistantMessage)?$$render(consequent_1,1):$$render(alternate,-1)})}var node_4=sibling(node_1,2);Button(node_4,{class:"h-7 px-3 text-xs",onclick:attemptCancel,size:"sm",variant:"ghost",children:($$anchor2,$$slotProps)=>{var fragment_1=root_4$r(),node_5=first_child( +fragment_1);X(node_5,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div_1);var node_6=sibling(div_1,2);DialogConfirmation(node_6,{title:"Discard changes?",description:"You have unsaved changes. Are you sure you want to discard them?",confirmText:"Discard",cancelText:"Keep editing",variant:"destructive",get icon(){return Triangle_alert},get onConfirm(){return editCtx.cancel},onCancel:()=>set$1(showDiscardDialog,!1),get open(){return get$3(showDiscardDialog)}, +set open($$value){set$1(showDiscardDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_3$F=from_html('
          '),root_2$N=from_html(" ",1),root$13=from_html('
          ');function ChatMessageUser($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext();var div=root$13(),node2=child(div);{var consequent=$$anchor2=>{ +ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$N(),node_1=first_child(fragment_1);ChatMessageUserBubble(node_1,{get content(){return $$props.message.content},get attachments(){return $$props.message.extra},renderMarkdown:!0});var node_2=sibling(node_1,2);{var consequent_1=$$anchor3=>{var div_1=root_3$F(),node_3=child(div_1);ChatMessageActionIcons(node_3,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props. +onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onForkConversation(){return $$props.onForkConversation},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_1),append($$anchor3,div_1)};if_block( +node_2,$$render=>{$$props.message.timestamp&&$$render(consequent_1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}var root_1$w=from_html('
          '),root_4$q=from_html("
          "),root_5$k=from_html(' '),root$12=from_html(" ",1);function ChatMessageUserBubble($$anchor,$$props){push$1($$props,!0);let attachments=prop($$props,"attachments",19,()=>[]),renderMarkdown=prop($$props,"renderMarkdown",3,!1),textColorClass=prop($$props,"textColorClass",3,"text-foreground"),cardBgClass=prop($$props,"cardBgClass",3,"dark:bg-primary/15"),maxHeightStyle=prop($$props,"maxHeightStyle",3,"max-height: var(--max-message-height);"),isMultiline=state$1(!1),messageElement=state$1(void 0);const currentConfig=config$1(); +user_effect(()=>{if(!get$3(messageElement)||!$$props.content.trim())return;if($$props.content.includes(` +`)){set$1(isMultiline,!0);return}const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5)}});return resizeObserver.observe(get$3(messageElement)),()=>{resizeObserver.disconnect()}});var fragment=root$12(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$w(),node_1=child(div);ChatAttachmentsList(node_1,{get attachments(){return attachments()},readonly:!0,imageHeight:"h-40"}),reset( +div),append($$anchor2,div)};if_block(node2,$$render=>{attachments()&&attachments().length>0&&$$render(consequent)})}var node_2=sibling(node2,2);{var consequent_2=$$anchor2=>{{let $0=user_derived(()=>get$3(isMultiline)?"":void 0);Card($$anchor2,{get class(){return`max-w-[80%] overflow-y-auto rounded-[1.125rem] border-none bg-primary/5 px-3.75 py-1.5 ${textColorClass()??""} backdrop-blur-md data-[multiline]:py-2.5 ${cardBgClass()??""}`},get"data-multiline"(){return get$3($0)},get style(){return`${maxHeightStyle()?? +""} overflow-wrap: anywhere; word-break: break-word;`},children:($$anchor3,$$slotProps)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent_1=$$anchor4=>{var div_1=root_4$q(),node_4=child(div_1);MarkdownContent(node_4,{class:"markdown-user-content -my-4",get content(){return $$props.content}}),reset(div_1),bind_this(div_1,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),append($$anchor4,div_1)},alternate=$$anchor4=>{var span=root_5$k(),text2=child(span,!0); +reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>set_text(text2,$$props.content)),append($$anchor4,span)};if_block(node_3,$$render=>{renderMarkdown()&¤tConfig.renderUserContentAsMarkdown?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{default:!0}})}},d2=user_derived(()=>$$props.content.trim());if_block(node_2,$$render=>{get$3(d2)&&$$render(consequent_2)})}append($$anchor,fragment),pop()}function useMessageEditContext(options){ +let isEditing2=state$1(!1),editedContent=state$1(""),editedExtras=state$1(proxy([])),editedUploadedFiles=state$1(proxy([]));function handleEdit(){set$1(editedContent,options.getContent(),!0),set$1(editedExtras,[...options.getExtras()],!0),set$1(editedUploadedFiles,[],!0),set$1(isEditing2,!0)}async function handleSaveEdit(){const trimmed=get$3(editedContent).trim();if(!trimmed&&get$3(editedExtras).length===0&&get$3(editedUploadedFiles).length===0)return;let finalExtras=snapshot(get$3(editedExtras)); +if(get$3(editedUploadedFiles).length>0){const plainFiles=snapshot(get$3(editedUploadedFiles)),newExtras=(await parseFilesToMessageExtras(plainFiles))?.extras||[];finalExtras=[...finalExtras,...newExtras]}options.onSave(trimmed,finalExtras.length>0?finalExtras:void 0),set$1(isEditing2,!1)}function handleCancelEdit(){set$1(isEditing2,!1)}return setMessageEditContext({get isEditing(){return get$3(isEditing2)},get editedContent(){return get$3(editedContent)},get editedExtras(){return get$3(editedExtras)}, +get editedUploadedFiles(){return get$3(editedUploadedFiles)},get originalContent(){return options.getContent()},get originalExtras(){return options.getExtras()},get showSaveOnlyOption(){return options.showSaveOnlyOption??!1},get showBranchAfterEditOption(){return!1},get shouldBranchAfterEdit(){return!1},get messageRole(){return MessageRole.USER},setContent:c2=>{set$1(editedContent,c2,!0)},setExtras:e=>{set$1(editedExtras,e,!0)},setUploadedFiles:f=>{set$1(editedUploadedFiles,f,!0)},save:handleSaveEdit, +saveOnly:handleSaveEdit,cancel:handleCancelEdit,startEdit:handleEdit}),{get isEditing(){return get$3(isEditing2)},handleEdit,handleSaveEdit,handleCancelEdit}}var root_2$M=from_html('
          ',1),root$11=from_html('
          ');function ChatMessageUserPending($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),extras=prop($$props,"extras",19,()=>[]);const processingInfoCtx=getProcessingInfoContext();let showProcessingInfo=user_derived(()=>processingInfoCtx.showProcessingInfo);const editCtx=useMessageEditContext({getContent:()=>$$props.content,getExtras:()=>extras(),onSave:(content2,extras2)=>$$props. +onEdit(content2,extras2)});var div=root$11(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$M(),node_1=first_child(fragment_1);ChatMessageUserBubble(node_1,{get content(){return $$props.content},get attachments(){return extras()},textColorClass:"text-muted-foreground",cardBgClass:"dark:bg-primary/8",maxHeightStyle:"overflow-wrap: anywhere; word-break: break-word;"});var div_1=sibling(node_1,2),div_2=child(div_1),div_3=child( +div_2),div_4=child(div_3),node_2=child(div_4);ActionIcon(node_2,{get icon(){return Square_pen},tooltip:"Edit",get onclick(){return editCtx.handleEdit}});var node_3=sibling(node_2,2);ActionIcon(node_3,{get icon(){return Trash_2},tooltip:"Delete",get onclick(){return $$props.onDelete}});var node_4=sibling(node_3,2);ActionIcon(node_4,{get icon(){return Arrow_up},tooltip:"Send immediately",get onclick(){return $$props.onSendImmediately}}),reset(div_4),reset(div_3),reset(div_2),reset(div_1),append($$anchor2, +fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})}reset(div),action(div,$$node=>fadeInView?.($$node)),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 transition-opacity hover:opacity-80 md:gap-2 ${className()??""} sticky ${get$3(showProcessingInfo)?"bottom-44":"bottom-32"}`)),append($$anchor,div),pop()}var root_2$L=from_html(" Cancel",1),root_3$E=from_html(" Save",1),root_1$v=from_html('
          '),root_7$i=from_html("
          "),root_8$k=from_html(" "),root_9$e=from_html('
          ', +1),root_11$8=from_html('
          '),root_6$k=from_html("
          ",1),root_5$j=from_html('
          '),root_13$8=from_html('
          '),root_4$p=from_html(" ",1),root$10=from_html('
          ');function ChatMessageSystem($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""), +siblingInfo=prop($$props,"siblingInfo",3,null),textareaElement=prop($$props,"textareaElement",15);const editCtx=getMessageEditContext();function handleEditKeydown(event2){event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(event2)?(event2.preventDefault(),editCtx.save()):event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),editCtx.cancel())}let isMultiline=state$1(!1),messageElement=state$1(void 0),isExpanded=state$1(!1),contentHeight=state$1(0);const MAX_HEIGHT=200,currentConfig=config$1(); +let showExpandButton=user_derived(()=>get$3(contentHeight)>MAX_HEIGHT);user_effect(()=>{if(!get$3(messageElement)||!$$props.message.content.trim())return;$$props.message.content.includes(` +`)&&set$1(isMultiline,!0);const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5),set$1(contentHeight,element2.scrollHeight,!0)}});return resizeObserver.observe(get$3(messageElement)),()=>{resizeObserver.disconnect()}});function toggleExpand(){set$1(isExpanded,!get$3(isExpanded))}var div=root$10(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$v(),textarea=child(div_1);remove_textarea_child( +textarea),bind_this(textarea,$$value=>textareaElement($$value),()=>textareaElement());var div_2=sibling(textarea,2),node_1=child(div_2);Button(node_1,{class:"h-8 px-3",get onclick(){return editCtx.cancel},size:"sm",variant:"outline",children:($$anchor3,$$slotProps)=>{var fragment=root_2$L(),node_2=first_child(fragment);X(node_2,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}});var node_3=sibling(node_1,2);{let $0=user_derived(()=>!editCtx.editedContent.trim());Button( +node_3,{class:"h-8 px-3",get onclick(){return editCtx.save},get disabled(){return get$3($0)},size:"sm",children:($$anchor3,$$slotProps)=>{var fragment_1=root_3$E(),node_4=first_child(fragment_1);Check(node_4,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_2),reset(div_1),template_effect(()=>{set_value(textarea,editCtx.editedContent),set_class(textarea,1,`min-h-[60px] w-full resize-none rounded-2xl px-3 py-2 text-sm ${INPUT_CLASSES??""}`)}),delegated( +"keydown",textarea,handleEditKeydown),delegated("input",textarea,e=>editCtx.setContent(e.currentTarget.value)),append($$anchor2,div_1)},alternate_1=$$anchor2=>{var fragment_2=root_4$p(),node_5=first_child(fragment_2);{var consequent_4=$$anchor3=>{var div_3=root_5$j(),button=child(div_3),node_6=child(button);{let $0=user_derived(()=>get$3(isMultiline)?"":void 0);Card(node_6,{class:"overflow-y-auto rounded-[1.125rem] !border-2 !border-dashed !border-border/50 bg-muted px-3.75 py-1.5 data-[multilin\ +e]:py-2.5",get"data-multiline"(){return get$3($0)},style:"border: 2px dashed hsl(var(--border)); max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;",children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$k(),div_4=first_child(fragment_3),node_7=child(div_4);{var consequent_1=$$anchor5=>{var div_5=root_7$i(),node_8=child(div_5);MarkdownContent(node_8,{class:"markdown-system-content -my-4",get content(){return $$props.message.content}}),reset(div_5),bind_this( +div_5,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>set_class(div_5,1,clsx(get$3(isExpanded)?"cursor-text":""))),append($$anchor5,div_5)},alternate=$$anchor5=>{var span=root_8$k(),text2=child(span,!0);reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>{set_class(span,1,`text-md whitespace-pre-wrap ${get$3(isExpanded)?"cursor-text":""}`),set_text(text2,$$props.message.content)}),append($$anchor5, +span)};if_block(node_7,$$render=>{currentConfig.renderUserContentAsMarkdown?$$render(consequent_1):$$render(alternate,-1)})}var node_9=sibling(node_7,2);{var consequent_2=$$anchor5=>{var fragment_4=root_9$e(),div_6=sibling(first_child(fragment_4),2),node_10=child(div_6);Button(node_10,{class:"rounded-full px-4 py-1.5 text-xs shadow-md",size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{next$1();var text_1=text$8("Show full system message");append($$anchor6,text_1)},$$slots:{default:!0}}), +reset(div_6),append($$anchor5,fragment_4)};if_block(node_9,$$render=>{!get$3(isExpanded)&&get$3(showExpandButton)&&$$render(consequent_2)})}reset(div_4);var node_11=sibling(div_4,2);{var consequent_3=$$anchor5=>{var div_7=root_11$8(),node_12=child(div_7);Button(node_12,{class:"rounded-full px-4 py-1.5 text-xs",onclick:e=>{e.stopPropagation(),toggleExpand()},size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{next$1();var text_2=text$8("Collapse System Message");append($$anchor6,text_2)}, +$$slots:{default:!0}}),reset(div_7),append($$anchor5,div_7)};if_block(node_11,$$render=>{get$3(isExpanded)&&get$3(showExpandButton)&&$$render(consequent_3)})}template_effect(()=>{set_class(div_4,1,`relative transition-all duration-300 ${get$3(isExpanded)?"cursor-text select-text":"select-none"}`),set_style(div_4,!get$3(isExpanded)&&get$3(showExpandButton)?`max-height: ${MAX_HEIGHT}px;`:"max-height: none;")}),append($$anchor4,fragment_3)},$$slots:{default:!0}})}reset(button),reset(div_3),template_effect( +()=>set_class(button,1,`group/expand w-full text-left ${!get$3(isExpanded)&&get$3(showExpandButton)?"cursor-pointer":"cursor-auto"}`)),delegated("click",button,function(...$$args){(get$3(showExpandButton)&&!get$3(isExpanded)?toggleExpand:void 0)?.apply(this,$$args)}),append($$anchor3,div_3)},d2=user_derived(()=>$$props.message.content.trim());if_block(node_5,$$render=>{get$3(d2)&&$$render(consequent_4)})}var node_13=sibling(node_5,2);{var consequent_5=$$anchor3=>{var div_8=root_13$8(),node_14=child( +div_8);ChatMessageActionIcons(node_14,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props. +showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_8),append($$anchor3,div_8)};if_block(node_13,$$render=>{$$props.message.timestamp&&$$render(consequent_5)})}append($$anchor2,fragment_2)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate_1,-1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}delegate(["keydown","input","click"]);class AutoScrollController{#_autoScrollEnabled=state$1( +!0);get _autoScrollEnabled(){return get$3(this.#_autoScrollEnabled)}set _autoScrollEnabled(value){set$1(this.#_autoScrollEnabled,value,!0)}#_userScrolledUp=state$1(!1);get _userScrolledUp(){return get$3(this.#_userScrolledUp)}set _userScrolledUp(value){set$1(this.#_userScrolledUp,value,!0)}#_lastScrollTop=state$1(0);get _lastScrollTop(){return get$3(this.#_lastScrollTop)}set _lastScrollTop(value){set$1(this.#_lastScrollTop,value,!0)}_scrollInterval;_scrollTimeout;_container;_disabled;_mutationObserver=null;_rafPending=!1;_observerEnabled=!1;constructor(options={}){ +this._disabled=options.disabled??!1}get autoScrollEnabled(){return this._autoScrollEnabled}get userScrolledUp(){return this._userScrolledUp}setContainer(container2){this._doStopObserving(),this._container=container2,this._observerEnabled&&container2&&!this._disabled&&this._doStartObserving()}setDisabled(disabled){this._disabled=disabled,disabled?(this._autoScrollEnabled=!1,this.stopInterval(),this._doStopObserving()):this._observerEnabled&&this._container&&!this._mutationObserver&&this._doStartObserving()}handleScroll(){ +if(this._disabled||!this._container)return;const{scrollTop,scrollHeight,clientHeight}=this._container,distanceFromBottom=scrollHeight-clientHeight-scrollTop,isScrollingUp=scrollTop{isAtBottom&&(this._userScrolledUp=!1,this._autoScrollEnabled=!0)},AUTO_SCROLL_INTERVAL),this._lastScrollTop=scrollTop}scrollToBottom(behavior="smooth"){this._disabled||!this._container||this._container.scrollTo({top:this._container.scrollHeight,behavior})}enable(){this._disabled||(this._userScrolledUp=!1,this._autoScrollEnabled=!0)}startInterval(){this._disabled||this._scrollInterval||(this._scrollInterval=setInterval(()=>{this.scrollToBottom()},AUTO_SCROLL_INTERVAL))}stopInterval(){ +this._scrollInterval&&(clearInterval(this._scrollInterval),this._scrollInterval=void 0)}updateInterval(isStreaming){if(this._disabled){this.stopInterval();return}isStreaming&&this._autoScrollEnabled?this._scrollInterval||this.startInterval():this.stopInterval()}destroy(){this.stopInterval(),this._doStopObserving(),this._scrollTimeout&&(clearTimeout(this._scrollTimeout),this._scrollTimeout=void 0)}startObserving(){this._observerEnabled=!0,this._container&&!this._disabled&&!this._mutationObserver&& +this._doStartObserving()}stopObserving(){this._observerEnabled=!1,this._doStopObserving()}_doStartObserving(){!this._container||this._mutationObserver||(this._mutationObserver=new MutationObserver(()=>{!this._autoScrollEnabled||this._rafPending||(this._rafPending=!0,requestAnimationFrame(()=>{this._rafPending=!1,this._autoScrollEnabled&&this._container&&(this._container.scrollTop=this._container.scrollHeight)}))}),this._mutationObserver.observe(this._container,{childList:!0,subtree:!0,characterData:!0}))}_doStopObserving(){ +this._mutationObserver&&(this._mutationObserver.disconnect(),this._mutationObserver=null),this._rafPending=!1}}function createAutoScrollController(options={}){return new AutoScrollController(options)}function useKeyboardShortcuts(callbacks){function handleKeydown(event2){const isCmdOrCtrl=event2.metaKey||event2.ctrlKey;isCmdOrCtrl&&event2.key===KeyboardKey.K_LOWER&&(event2.preventDefault(),callbacks.activateSearchMode?.(),callbacks.onSearchActivated?.()),isCmdOrCtrl&&event2.shiftKey&&(event2.key=== +KeyboardKey.O_LOWER||event2.key===KeyboardKey.O_UPPER)&&(event2.preventDefault(),goto(ROUTES.NEW_CHAT)),event2.shiftKey&&isCmdOrCtrl&&event2.key===KeyboardKey.E_UPPER&&(event2.preventDefault(),callbacks.editActiveConversation?.()),isCmdOrCtrl&&event2.shiftKey&&(event2.key===KeyboardKey.D_LOWER||event2.key===KeyboardKey.D_UPPER)&&(event2.preventDefault(),callbacks.deleteActiveConversation?.()),isCmdOrCtrl&&event2.shiftKey&&event2.key===KeyboardKey.ARROW_UP&&(event2.preventDefault(),callbacks.navigateToPrevConversation?.()), +isCmdOrCtrl&&event2.shiftKey&&event2.key===KeyboardKey.ARROW_DOWN&&(event2.preventDefault(),callbacks.navigateToNextConversation?.())}return{handleKeydown}}var root_5$i=from_html('

          Hello there

          '),root_9$d=from_html('Server unavailable ',1),root_8$j=from_html(" ",1),root_7$h=from_html('
          '),root_3$D=from_html('
          '),root$$=from_html(" ",1);function ChatScreen($$anchor,$$props){push$1($$props,!0);let showCenteredEmpty=prop($$props,"showCenteredEmpty",3,!1);const autoScroll=createAutoScrollController();let disableAutoScroll=user_derived(()=>!!config$1().disableAutoScroll),chatScrollContainer=state$1(void 0),dragCounter=state$1(0),isDragOver=state$1(!1),showFileErrorDialog=state$1(!1),uploadedFiles=state$1(proxy([])),fileErrorData=state$1(proxy({generallyUnsupported:[],modalityUnsupported:[], +modalityReasons:{},supportedTypes:[]})),showDeleteDialog=state$1(!1),showEmptyFileDialog=state$1(!1),emptyFileNames=state$1(proxy([])),initialMessage=state$1(""),isEmpty=user_derived(()=>showCenteredEmpty()&&!activeConversation()&&activeMessages().length===0&&!isLoading()),activeErrorDialog=user_derived(errorDialog),isServerLoading=user_derived(serverLoading),hasPropsError=user_derived(()=>!!serverError()),isCurrentConversationLoading=user_derived(()=>isLoading()||isChatStreaming()),showProcessingInfo=user_derived( +()=>get$3(isCurrentConversationLoading)||config$1().keepStatsVisible&&!!page$1.params.id||activeProcessingState()!==null),isRouter=user_derived(isRouterMode),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3( +conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}),modelPropsVersion=state$1(0);setProcessingInfoContext({get showProcessingInfo(){return get$3(showProcessingInfo)}}),user_effect(()=>{get$3(activeModelId)&&(modelsStore.getModelProps(get$3(activeModelId))||modelsStore.fetchModelProps(get$3(activeModelId)).then(()=>{update$1(modelPropsVersion)}))});let hasAudioModality=user_derived(()=>get$3(activeModelId)?(get$3(modelPropsVersion), +modelsStore.modelSupportsAudio(get$3(activeModelId))):!1),hasVisionModality=user_derived(()=>get$3(activeModelId)?(get$3(modelPropsVersion),modelsStore.modelSupportsVision(get$3(activeModelId))):!1);async function handleDeleteConfirm(){const conversation=activeConversation();conversation&&await conversationsStore.deleteConversation(conversation.id),set$1(showDeleteDialog,!1)}function handleDragEnter(event2){event2.preventDefault(),update$1(dragCounter),event2.dataTransfer?.types.includes("Files")&& +set$1(isDragOver,!0)}function handleDragLeave(event2){event2.preventDefault(),update$1(dragCounter,-1),get$3(dragCounter)===0&&set$1(isDragOver,!1)}function handleErrorDialogOpenChange(open2){open2||chatStore.dismissErrorDialog()}function handleDragOver(event2){event2.preventDefault()}function handleDrop(event2){if(event2.preventDefault(),set$1(isDragOver,!1),set$1(dragCounter,0),event2.dataTransfer?.files){const files=Array.from(event2.dataTransfer.files);if(isEditing()){const handler=getAddFilesHandler(); if(handler){handler(files);return}}processFiles(files)}}function handleFileRemove(fileId){set$1(uploadedFiles,get$3(uploadedFiles).filter(f=>f.id!==fileId),!0)}function handleFileUpload(files){processFiles(files)}const{handleKeydown}=useKeyboardShortcuts({deleteActiveConversation:()=>{activeConversation()&&set$1(showDeleteDialog,!0)}});async function handleSystemPromptAdd(draft){(draft.message||draft.files.length>0)&&chatStore.savePendingDraft(draft.message,draft.files),await chatStore.addSystemPrompt()} function handleScroll(){autoScroll.handleScroll()}async function handleSendMessage(message,files){const plainFiles=files?snapshot(files):void 0,result=plainFiles?await parseFilesToMessageExtras(plainFiles,get$3(activeModelId)??void 0):void 0;if(result?.emptyFiles&&result.emptyFiles.length>0){if(set$1(emptyFileNames,result.emptyFiles,!0),set$1(showEmptyFileDialog,!0),files){const emptyFileNamesSet=new Set(result.emptyFiles);set$1(uploadedFiles,get$3(uploadedFiles).filter(file=>!emptyFileNamesSet. has(file.name)),!0)}return!1}const extras=result?.extras;return autoScroll.enable(),await chatStore.sendMessage(message,extras),autoScroll.scrollToBottom(),!0}async function processFiles(files){const generallySupported=[],generallyUnsupported=[];for(const file of files)isFileTypeSupported(file.name,file.type)?generallySupported.push(file):generallyUnsupported.push(file);const capabilities={hasVision:get$3(hasVisionModality),hasAudio:get$3(hasAudioModality)},{supportedFiles,unsupportedFiles,modalityReasons}=filterFilesByModalities( generallySupported,capabilities);if([...generallyUnsupported,...unsupportedFiles].length>0){const supportedTypes=["text files","PDFs"];get$3(hasVisionModality)&&supportedTypes.push("images"),get$3(hasAudioModality)&&supportedTypes.push("audio files"),set$1(fileErrorData,{generallyUnsupported,modalityUnsupported:unsupportedFiles,modalityReasons,supportedTypes},!0),set$1(showFileErrorDialog,!0)}if(supportedFiles.length>0){const processed=await processFilesToChatUploaded(supportedFiles,get$3(activeModelId)?? -void 0);set$1(uploadedFiles,[...get$3(uploadedFiles),...processed],!0)}}afterNavigate(()=>{get$3(disableAutoScroll)||autoScroll.enable()}),onMount$1(()=>{autoScroll.startObserving(),get$3(disableAutoScroll)||autoScroll.enable();const pendingDraft=chatStore.consumePendingDraft();pendingDraft&&(set$1(initialMessage,pendingDraft.message,!0),set$1(uploadedFiles,pendingDraft.files,!0))}),user_effect(()=>{autoScroll.setContainer(get$3(chatScrollContainer))}),user_effect(()=>{autoScroll.setDisabled(get$3( -disableAutoScroll))});var fragment=root$A();event("keydown",$window,handleKeydown);var node2=first_child(fragment);{var consequent=$$anchor2=>{ChatScreenDragOverlay($$anchor2)};if_block(node2,$$render=>{get$3(isDragOver)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{ServerLoadingSplash($$anchor2,{})},alternate=$$anchor2=>{var div=root_3$d(),div_1=child(div),node_2=child(div_1);{var consequent_2=$$anchor3=>{{let $0=user_derived(activeMessages);ChatMessages($$anchor3, -{get messages(){return get$3($0)},onUserAction:()=>{autoScroll.enable(),autoScroll.scrollToBottom()}})}};if_block(node_2,$$render=>{get$3(isEmpty)||$$render(consequent_2)})}var div_2=sibling(node_2,2),node_3=child(div_2);{var consequent_3=$$anchor3=>{var div_3=root_5$a(),p2=sibling(child(div_3),2),text2=child(p2);reset(p2),reset(div_3),action(div_3,($$node,$$action_arg)=>fadeInView?.($$node,$$action_arg),()=>({duration:300})),template_effect(()=>set_text(text2,`${serverStore.props?.modalities?.audio? -"Record audio, type a message ":"Type a message"} or upload files to get started`)),append($$anchor3,div_3)};if_block(node_3,$$render=>{get$3(isEmpty)&&$$render(consequent_3)})}var node_4=sibling(node_3,2);{var consequent_4=$$anchor3=>{ChatScreenProcessingInfo($$anchor3,{})};if_block(node_4,$$render=>{page$1.params.id&&$$render(consequent_4)})}var node_5=sibling(node_4,2);{var consequent_5=$$anchor3=>{var div_4=root_7$8(),node_6=child(div_4);component(node_6,()=>Alert,($$anchor4,Alert_Root)=>{Alert_Root( -$$anchor4,{variant:"destructive",children:($$anchor5,$$slotProps)=>{var fragment_5=root_8$a(),node_7=first_child(fragment_5);Triangle_alert(node_7,{class:"h-4 w-4"});var node_8=sibling(node_7,2);component(node_8,()=>Alert_title,($$anchor6,Alert_Title)=>{Alert_Title($$anchor6,{class:"flex items-center justify-between",children:($$anchor7,$$slotProps2)=>{var fragment_6=root_9$6(),button=sibling(first_child(fragment_6),2),node_9=child(button);{let $0=user_derived(()=>get$3(isServerLoading)?"animate\ --spin":"");Refresh_cw(node_9,{get class(){return`h-3 w-3 ${get$3($0)??""}`}})}var text_1=sibling(node_9);reset(button),template_effect(()=>{button.disabled=get$3(isServerLoading),set_text(text_1,` ${get$3(isServerLoading)?"Retrying...":"Retry"}`)}),delegated("click",button,()=>serverStore.fetch()),append($$anchor7,fragment_6)},$$slots:{default:!0}})});var node_10=sibling(node_8,2);component(node_10,()=>Alert_description,($$anchor6,Alert_Description)=>{Alert_Description($$anchor6,{children:($$anchor7,$$slotProps2)=>{ -next$1();var text_2=text$8();template_effect($0=>set_text(text_2,$0),[()=>serverError()]),append($$anchor7,text_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_5)},$$slots:{default:!0}})}),reset(div_4),action(div_4,($$node,$$action_arg)=>fadeInView?.($$node,$$action_arg),()=>({y:10,duration:250})),append($$anchor3,div_4)};if_block(node_5,$$render=>{get$3(hasPropsError)&&$$render(consequent_5)})}var div_5=sibling(node_5,2),node_11=child(div_5);{let $0=user_derived(()=>get$3(hasPropsError)|| -isEditing());ChatScreenForm(node_11,{get disabled(){return get$3($0)},get initialMessage(){return get$3(initialMessage)},get isLoading(){return get$3(isCurrentConversationLoading)},onFileRemove:handleFileRemove,onFileUpload:handleFileUpload,onSend:handleSendMessage,onStop:()=>chatStore.stopGeneration(),onSystemPromptAdd:handleSystemPromptAdd,showHelperText:!1,get uploadedFiles(){return get$3(uploadedFiles)},set uploadedFiles($$value){set$1(uploadedFiles,$$value,!0)}})}reset(div_5),reset(div_2),reset( -div_1),reset(div),bind_this(div,$$value=>set$1(chatScrollContainer,$$value),()=>get$3(chatScrollContainer)),template_effect(()=>set_class(div_2,1,`pointer-events-none ${get$3(isEmpty)?"absolute bottom-[calc(50dvh-7rem)]":"sticky bottom-4"} right-4 left-4 mt-auto pt-16 transition-all duration-200`)),event("dragenter",div,handleDragEnter),event("dragleave",div,handleDragLeave),event("dragover",div,handleDragOver),event("drop",div,handleDrop),event("scroll",div,handleScroll),append($$anchor2,div)}; -if_block(node_1,$$render=>{get$3(isServerLoading)?$$render(consequent_1):$$render(alternate,-1)})}var node_12=sibling(node_1,2);component(node_12,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return get$3(showFileErrorDialog)},set open($$value){set$1(showFileErrorDialog,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_8=comment$2(),node_13=first_child(fragment_8);component(node_13,()=>Portal,($$anchor4,AlertDialog_Portal)=>{AlertDialog_Portal($$anchor4, -{children:($$anchor5,$$slotProps2)=>{var fragment_9=root_12$3(),node_14=first_child(fragment_9);component(node_14,()=>Alert_dialog_overlay,($$anchor6,AlertDialog_Overlay)=>{AlertDialog_Overlay($$anchor6,{})});var node_15=sibling(node_14,2);component(node_15,()=>Alert_dialog_content,($$anchor6,AlertDialog_Content)=>{AlertDialog_Content($$anchor6,{class:"flex max-w-md flex-col",children:($$anchor7,$$slotProps3)=>{var fragment_10=root_13$2(),node_16=first_child(fragment_10);component(node_16,()=>Alert_dialog_header, -($$anchor8,AlertDialog_Header)=>{AlertDialog_Header($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_11=root_14$2(),node_17=first_child(fragment_11);component(node_17,()=>Alert_dialog_title,($$anchor10,AlertDialog_Title)=>{AlertDialog_Title($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text_3=text$8("File Upload Error");append($$anchor11,text_3)},$$slots:{default:!0}})});var node_18=sibling(node_17,2);component(node_18,()=>Alert_dialog_description,($$anchor10,AlertDialog_Description)=>{ -AlertDialog_Description($$anchor10,{class:"text-sm text-muted-foreground",children:($$anchor11,$$slotProps5)=>{next$1();var text_4=text$8("Some files cannot be uploaded with the current model.");append($$anchor11,text_4)},$$slots:{default:!0}})}),append($$anchor9,fragment_11)},$$slots:{default:!0}})});var div_6=sibling(node_16,2),node_19=child(div_6);{var consequent_6=$$anchor8=>{var div_7=root_17$2(),div_8=sibling(child(div_7),2);each(div_8,21,()=>get$3(fileErrorData).generallyUnsupported,file=>file. -name,($$anchor9,file)=>{var div_9=root_18$2(),p_1=child(div_9),text_5=child(p_1,!0);reset(p_1),next$1(2),reset(div_9),template_effect(()=>set_text(text_5,get$3(file).name)),append($$anchor9,div_9)}),reset(div_8),reset(div_7),append($$anchor8,div_7)};if_block(node_19,$$render=>{get$3(fileErrorData).generallyUnsupported.length>0&&$$render(consequent_6)})}var node_20=sibling(node_19,2);{var consequent_7=$$anchor8=>{var div_10=root_19$3(),div_11=child(div_10);each(div_11,21,()=>get$3(fileErrorData). -modalityUnsupported,file=>file.name,($$anchor9,file)=>{var div_12=root_20$1(),p_2=child(div_12),text_6=child(p_2,!0);reset(p_2);var p_3=sibling(p_2,2),text_7=child(p_3,!0);reset(p_3),reset(div_12),template_effect(()=>{set_text(text_6,get$3(file).name),set_text(text_7,get$3(fileErrorData).modalityReasons[get$3(file).name]||"Not supported by current model")}),append($$anchor9,div_12)}),reset(div_11),reset(div_10),append($$anchor8,div_10)};if_block(node_20,$$render=>{get$3(fileErrorData).modalityUnsupported. -length>0&&$$render(consequent_7)})}reset(div_6);var div_13=sibling(div_6,2),p_4=sibling(child(div_13),2),text_8=child(p_4,!0);reset(p_4),reset(div_13);var node_21=sibling(div_13,2);component(node_21,()=>Alert_dialog_footer,($$anchor8,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_12=comment$2(),node_22=first_child(fragment_12);component(node_22,()=>Alert_dialog_action,($$anchor10,AlertDialog_Action)=>{AlertDialog_Action($$anchor10,{onclick:()=>set$1( -showFileErrorDialog,!1),children:($$anchor11,$$slotProps5)=>{next$1();var text_9=text$8("Got it");append($$anchor11,text_9)},$$slots:{default:!0}})}),append($$anchor9,fragment_12)},$$slots:{default:!0}})}),template_effect($0=>set_text(text_8,$0),[()=>get$3(fileErrorData).supportedTypes.join(", ")]),append($$anchor7,fragment_10)},$$slots:{default:!0}})}),append($$anchor5,fragment_9)},$$slots:{default:!0}})}),append($$anchor3,fragment_8)},$$slots:{default:!0}})});var node_23=sibling(node_12,2);DialogConfirmation( -node_23,{title:"Delete Conversation",description:"Are you sure you want to delete this conversation? This action cannot be undone and will permanently remove all messages in this conversation.",confirmText:"Delete",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleDeleteConfirm,onCancel:()=>set$1(showDeleteDialog,!1),get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}});var node_24=sibling(node_23,2);DialogEmptyFileAlert( -node_24,{get emptyFiles(){return get$3(emptyFileNames)},onOpenChange:open2=>{open2||set$1(emptyFileNames,[],!0)},get open(){return get$3(showEmptyFileDialog)},set open($$value){set$1(showEmptyFileDialog,$$value,!0)}});var node_25=sibling(node_24,2);{let $0=user_derived(()=>get$3(activeErrorDialog)?.message??""),$1=user_derived(()=>get$3(activeErrorDialog)?.contextInfo),$2=user_derived(()=>!!get$3(activeErrorDialog)),$3=user_derived(()=>get$3(activeErrorDialog)?.type??ErrorDialogType.SERVER);DialogChatError( -node_25,{get message(){return get$3($0)},get contextInfo(){return get$3($1)},onOpenChange:handleErrorDialogOpenChange,get open(){return get$3($2)},get type(){return get$3($3)}})}append($$anchor,fragment),pop()}delegate(["click"]);class DraftMessagesStore{drafts=new Map;getDraftMessage(chatId){const key2=chatId??NEW_CHAT_DRAFT_KEY;return this.drafts.get(key2)??{message:"",files:[]}}saveDraftMessage(chatId,message,files){const key2=chatId??NEW_CHAT_DRAFT_KEY;message||files.length>0?this.drafts.set( -key2,{message,files:[...files]}):this.drafts.delete(key2)}clearDraftMessage(chatId){const key2=chatId??NEW_CHAT_DRAFT_KEY;this.drafts.delete(key2)}}const draftMessagesStore=new DraftMessagesStore;function useDraftMessages(options){onMount$1(()=>{const chatId=options.getChatId();if(!chatId)return;const draft=draftMessagesStore.getDraftMessage(chatId);(draft.message||draft.files.length>0)&&!options.getInitialMessage()&&(options.setMessage(draft.message),options.setFiles(draft.files))}),beforeNavigate( -()=>{const chatId=options.getChatId();chatId&&draftMessagesStore.saveDraftMessage(chatId,options.getMessage(),options.getFiles())}),afterNavigate(navigation=>{if(navigation?.from!=null){const chatId=options.getChatId();if(!chatId)return;const draft=draftMessagesStore.getDraftMessage(chatId);options.setMessage(draft.message),options.setFiles(draft.files)}});function clearDraft(){const chatId=options.getChatId();chatId&&draftMessagesStore.clearDraftMessage(chatId)}return{clearDraft}}var root$z=from_html( -'
          ',1);function ChatScreenForm($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),initialMessage=prop($$props,"initialMessage",3,""),isLoading2=prop($$props,"isLoading",3,!1),showHelperText=prop($$props,"showHelperText",3,!0),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy([])),chatFormRef=state$1(void 0),chatId=user_derived(()=>page$1.params.id),message=user_derived(initialMessage),previousIsLoading=user_derived( -isLoading2),previousInitialMessage=user_derived(initialMessage);const{clearDraft}=useDraftMessages({getChatId:()=>get$3(chatId),getMessage:()=>get$3(message),getFiles:()=>uploadedFiles(),setMessage:m=>set$1(message,m),setFiles:f=>uploadedFiles(f),getInitialMessage:()=>initialMessage()});user_effect(()=>{initialMessage()!==get$3(previousInitialMessage)&&(set$1(message,initialMessage()),set$1(previousInitialMessage,initialMessage()))});function handleSystemPromptClick(){$$props.onSystemPromptAdd?.( -{message:get$3(message),files:uploadedFiles()})}let hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading));async function handleSubmit(){if(!get$3(message).trim()&&uploadedFiles().length===0||disabled()||get$3(hasLoadingAttachments)||!get$3(chatFormRef)?.checkModelSelected())return;const messageToSend=get$3(message).trim(),filesToSend=[...uploadedFiles()];set$1(message,""),uploadedFiles([]),clearDraft(),get$3(chatFormRef)?.resetTextareaHeight(),await $$props.onSend?.(messageToSend, -filesToSend)||(set$1(message,messageToSend),uploadedFiles(filesToSend))}function handleFilesAdd(files){$$props.onFileUpload?.(files)}function handleUploadedFileRemove(fileId){$$props.onFileRemove?.(fileId)}onMount$1(()=>{setTimeout(()=>get$3(chatFormRef)?.focus(),10)}),afterNavigate(navigation=>{navigation?.from!=null&&setTimeout(()=>get$3(chatFormRef)?.focus(),10)}),user_effect(()=>{get$3(previousIsLoading)&&!isLoading2()&&setTimeout(()=>get$3(chatFormRef)?.focus(),10),set$1(previousIsLoading,isLoading2())}); -var fragment=root$z(),div=first_child(fragment),node2=child(div);bind_this(ChatForm(node2,{get class(){return $$props.class},get disabled(){return disabled()},get isLoading(){return isLoading2()},showMcpPromptButton:!0,onFilesAdd:handleFilesAdd,get onStop(){return $$props.onStop},onSubmit:handleSubmit,onSystemPromptClick:handleSystemPromptClick,onUploadedFileRemove:handleUploadedFileRemove,get value(){return get$3(message)},set value($$value){set$1(message,$$value)},get uploadedFiles(){return uploadedFiles()}, -set uploadedFiles($$value){uploadedFiles($$value)}}),$$value=>set$1(chatFormRef,$$value,!0),()=>get$3(chatFormRef)),reset(div);var node_1=sibling(div,2);ChatFormHelperText(node_1,{get show(){return showHelperText()}}),append($$anchor,fragment),pop()}var root_1$g=from_html(' '),root$y=from_html('
          ');function ChatScreenProcessingInfo($$anchor,$$props){ -push$1($$props,!0);const processingState=useProcessingState(),processingInfoCtx=getProcessingInfoContext();let showProcessingInfo=user_derived(()=>processingInfoCtx.showProcessingInfo),isCurrentConversationLoading=user_derived(isLoading),isStreaming=user_derived(isChatStreaming),processingDetails=user_derived(()=>processingState.getTechnicalDetails());user_effect(()=>{const conversation=activeConversation();untrack$1(()=>chatStore.setActiveProcessingConversation(conversation?.id??null))}),user_effect( -()=>{const keepStatsVisible=config$1().keepStatsVisible;if((keepStatsVisible||get$3(isCurrentConversationLoading)||get$3(isStreaming))&&processingState.startMonitoring(),!get$3(isCurrentConversationLoading)&&!get$3(isStreaming)&&!keepStatsVisible){const timeout=setTimeout(()=>{!config$1().keepStatsVisible&&!isChatStreaming()&&processingState.stopMonitoring()},PROCESSING_INFO_TIMEOUT);return()=>clearTimeout(timeout)}}),user_effect(()=>{const conversation=activeConversation(),messages=activeMessages(); -if(config$1().keepStatsVisible&&conversation){if(messages.length===0){untrack$1(()=>chatStore.clearProcessingState(conversation.id));return}!get$3(isCurrentConversationLoading)&&!get$3(isStreaming)&&untrack$1(()=>chatStore.restoreProcessingStateFromMessages(messages,conversation.id))}});var div=root$y();let classes;var div_1=child(div);each(div_1,20,()=>get$3(processingDetails),detail=>detail,($$anchor2,detail)=>{var span=root_1$g(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2, -detail)),append($$anchor2,span)}),reset(div_1),reset(div),template_effect(()=>classes=set_class(div,1,"chat-processing-info-container pointer-events-none svelte-1ktvj8d",null,classes,{visible:get$3(showProcessingInfo)})),append($$anchor,div),pop()}var root_1$f=from_html(" Reset to default",1),root_5$9=from_html(" ",1),root_8$9=from_html(" ",1),root_4$9=from_html(" ",1),root$x=from_html('
          ',1);function ChatSettingsFooter($$anchor,$$props){push$1($$props,!0);let showResetDialog=state$1(!1);function handleResetClick(){set$1(showResetDialog,!0)}function handleConfirmReset(){settingsStore.forceSyncWithServerDefaults(),$$props.onReset?.(),set$1(showResetDialog,!1)}function handleSave(){$$props.onSave?.()}var fragment=root$x(),div=first_child(fragment),div_1=child(div),node2=child(div_1);Button(node2,{variant:"outline",onclick:handleResetClick,children:($$anchor2,$$slotProps)=>{ -var fragment_1=root_1$f(),node_1=first_child(fragment_1);Rotate_ccw(node_1,{class:"h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div_1);var node_2=sibling(div_1,2);Button(node_2,{onclick:handleSave,children:($$anchor2,$$slotProps)=>{next$1();var text2=text$8("Save settings");append($$anchor2,text2)},$$slots:{default:!0}}),reset(div);var node_3=sibling(div,2);component(node_3,()=>Root$3,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return get$3( -showResetDialog)},set open($$value){set$1(showResetDialog,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_2=comment$2(),node_4=first_child(fragment_2);component(node_4,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_3=root_4$9(),node_5=first_child(fragment_3);component(node_5,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{ -var fragment_4=root_5$9(),node_6=first_child(fragment_4);component(node_6,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Reset Settings to Default");append($$anchor9,text_1)},$$slots:{default:!0}})});var node_7=sibling(node_6,2);component(node_7,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8( -`Are you sure you want to reset all settings to their default values? This will reset all - parameters to the values provided by the server's /props endpoint and remove all your custom - configurations.`);append($$anchor9,text_2)},$$slots:{default:!0}})}),append($$anchor7,fragment_4)},$$slots:{default:!0}})});var node_8=sibling(node_5,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=root_8$9(),node_9=first_child(fragment_5);component(node_9,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1(); -var text_3=text$8("Cancel");append($$anchor9,text_3)},$$slots:{default:!0}})});var node_10=sibling(node_9,2);component(node_10,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:handleConfirmReset,children:($$anchor9,$$slotProps4)=>{next$1();var text_4=text$8("Reset to Default");append($$anchor9,text_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3, -fragment_2)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$e=from_html(' ',1);function Select_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","value","label","children"]);var fragment=comment$2(),node2=first_child(fragment);{const children=($$anchor2,$$arg0)=>{let selected=()=>$$arg0?.(). -selected,highlighted=()=>$$arg0?.().highlighted;var fragment_1=root_1$e(),span=first_child(fragment_1),node_1=child(span);{var consequent=$$anchor3=>{Check($$anchor3,{class:"size-4"})};if_block(node_1,$$render=>{selected()&&$$render(consequent)})}reset(span);var node_2=sibling(span,2);{var consequent_1=$$anchor3=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);snippet(node_3,()=>$$props.children,()=>({selected:selected(),highlighted:highlighted()})),append($$anchor3,fragment_3)},alternate=$$anchor3=>{ -var text2=text$8();template_effect(()=>set_text(text2,$$props.label||$$props.value)),append($$anchor3,text2)};if_block(node_2,$$render=>{$$props.children?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)};let $0=user_derived(()=>cn$1("relative flex w-full cursor-default items-center gap-2 rounded-sm py-1.5 pr-8 pl-2 text-sm outline-hidden select-none data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[highlighted]:bg-accent data-[highlighted]:text-acce\ -nt-foreground [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground *:[span]:last:flex *:[span]:last:items-center *:[span]:last:gap-2",$$props.class));component(node2,()=>Select_item$1,($$anchor2,SelectPrimitive_Item)=>{SelectPrimitive_Item($$anchor2,spread_props({get value(){return $$props.value},"data-slot":"select-item",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}, -children,$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}function Select_scroll_up_button($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center justify-center py-1",$$props.class));component(node2,()=>Select_scroll_up_button$1,($$anchor2,SelectPrimitive_ScrollUpButton)=>{SelectPrimitive_ScrollUpButton( -$$anchor2,spread_props({"data-slot":"select-scroll-up-button",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{Chevron_up($$anchor3,{class:"size-4"})},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}function Select_scroll_down_button($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(), -node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center justify-center py-1",$$props.class));component(node2,()=>Select_scroll_down_button$1,($$anchor2,SelectPrimitive_ScrollDownButton)=>{SelectPrimitive_ScrollDownButton($$anchor2,spread_props({"data-slot":"select-scroll-down-button",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{Chevron_down($$anchor3,{class:"size-4"})}, -$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_2$l=from_html(" ",1);function Select_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","portalProps","children"]),cleanupInternalListeners;onMount$1(()=>{const listenerOptions={passive:!1},blockOutsideWheel=event2=>{if(!ref2())return;const target2=event2.target; -(!target2||!ref2().contains(target2))&&(event2.preventDefault(),event2.stopPropagation())},blockOutsideTouchMove=event2=>{if(!ref2())return;const target2=event2.target;(!target2||!ref2().contains(target2))&&(event2.preventDefault(),event2.stopPropagation())};return document.addEventListener("wheel",blockOutsideWheel,listenerOptions),document.addEventListener("touchmove",blockOutsideTouchMove,listenerOptions),()=>{document.removeEventListener("wheel",blockOutsideWheel,listenerOptions),document.removeEventListener( -"touchmove",blockOutsideTouchMove,listenerOptions)}}),user_effect(()=>{const element2=ref2();if(cleanupInternalListeners?.(),!element2)return;const stopWheelPropagation=event2=>{event2.stopPropagation()},stopTouchPropagation=event2=>{event2.stopPropagation()};element2.addEventListener("wheel",stopWheelPropagation),element2.addEventListener("touchmove",stopTouchPropagation),cleanupInternalListeners=()=>{element2.removeEventListener("wheel",stopWheelPropagation),element2.removeEventListener("touch\ -move",stopTouchPropagation)}}),onDestroy(()=>{cleanupInternalListeners?.()});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,SelectPrimitive_Portal)=>{SelectPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>cn$1("relative z-[var(--layer-popover,1000000)] max-h-(--bits-select-content-available-height) min-w-[8rem] origin-\ -(--bits-select-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border bg-popover text-popover-foreground shadow-md data-[side=bottom]:translate-y-1 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:-translate-x-1 data-[side=left]:slide-in-from-right-2 data-[side=right]:translate-x-1 data-[side=right]:slide-in-from-left-2 data-[side=top]:-translate-y-1 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=clo\ -sed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95",$$props.class));component(node_1,()=>Select_content$1,($$anchor4,SelectPrimitive_Content)=>{SelectPrimitive_Content($$anchor4,spread_props({get sideOffset(){return sideOffset()},"data-slot":"select-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$l(),node_2=first_child(fragment_2); -Select_scroll_up_button(node_2,{});var node_3=sibling(node_2,2);{let $02=user_derived(()=>cn$1("h-(--bits-select-anchor-height) w-full min-w-(--bits-select-anchor-width) scroll-my-1 p-1"));component(node_3,()=>Select_viewport,($$anchor6,SelectPrimitive_Viewport)=>{SelectPrimitive_Viewport($$anchor6,{get class(){return get$3($02)},children:($$anchor7,$$slotProps3)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);snippet(node_4,()=>$$props.children??noop$3),append($$anchor7,fragment_3)}, -$$slots:{default:!0}})})}var node_5=sibling(node_3,2);Select_scroll_down_button(node_5,{}),append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}var root_1$d=from_html(" ",1);function Select_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),size2=prop($$props,"size",3,"default"),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$event\ -s","$$legacy","ref","class","children","size","variant"]);const baseClasses=user_derived(()=>variant()==="plain"?"group inline-flex w-full items-center justify-end gap-2 whitespace-nowrap px-0 py-0 text-sm font-medium text-muted-foreground transition-colors focus-visible:outline-none focus-visible:ring-0 focus-visible:ring-offset-0 disabled:cursor-not-allowed disabled:opacity-50 data-[placeholder]:text-muted-foreground data-[size=default]:h-9 data-[size=sm]:h-8 [&_svg]:pointer-events-none [&_svg\ -]:shrink-0 [&_svg:not([class*='size-'])]:size-3 [&_svg:not([class*='text-'])]:text-muted-foreground":"flex w-fit items-center justify-between gap-2 rounded-md border border-input bg-transparent px-3 py-2 text-sm whitespace-nowrap shadow-xs transition-[color,box-shadow] outline-none select-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 data-[placehol\ -der]:text-muted-foreground data-[size=default]:h-9 data-[size=sm]:h-8 *:data-[slot=select-value]:line-clamp-1 *:data-[slot=select-value]:flex *:data-[slot=select-value]:items-center *:data-[slot=select-value]:gap-2 dark:bg-input/30 dark:hover:bg-input/50 dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground"),chevronClasses=user_derived(()=>variant()==="plain"?"size-3 opacity-60 \ -transition-transform group-data-[state=open]:-rotate-180":"size-4 opacity-50");var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(get$3(baseClasses),$$props.class));component(node2,()=>Select_trigger$1,($$anchor2,SelectPrimitive_Trigger)=>{SelectPrimitive_Trigger($$anchor2,spread_props({"data-slot":"select-trigger",get"data-size"(){return size2()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{ -var fragment_1=root_1$d(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);Chevron_down(node_2,{get class(){return get$3(chevronClasses)}}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}const Root=Select;var root$w=from_html("");function Textarea($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),value=prop($$props,"value",15),restProps=rest_props($$props, -["$$slots","$$events","$$legacy","ref","value","class"]);var textarea=root$w();remove_textarea_child(textarea),attribute_effect(textarea,$0=>({"data-slot":"textarea",class:$0,...restProps}),[()=>cn$1("flex field-sizing-content min-h-16 w-full rounded-md border border-input bg-transparent px-3 py-2 text-base shadow-xs transition-[color,box-shadow] outline-none placeholder:text-muted-foreground focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowe\ -d disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 md:text-sm dark:bg-input/30 dark:aria-invalid:ring-destructive/40",$$props.class)]),bind_this(textarea,$$value=>ref2($$value),()=>ref2()),bind_value(textarea,value),append($$anchor,textarea),pop()}var root_3$c=from_html(" ",1),root_6$9=from_html(''),root_7$7=from_html('

          '),root_2$k=from_html('
          ',1),root_9$5=from_html(" ",1),root_11$3=from_html('

          '),root_12$2=from_html('
          '),root_8$8=from_html(" ",1),root_15$2=from_html( -" ",1),root_19$2=from_html('
          '),root_21$1=from_html(''),root_25$1=from_html('
          '),root_18$1=from_html('
          ',1),root_27=from_html( -'

          '),root_14$1=from_html('
          ',1),root_30=from_html('

          '),root_28=from_html('
          '),root_1$c=from_html('
          ');function ChatSettingsFields($$anchor,$$props){ -push$1($$props,!0);let sp=user_derived(()=>{if(serverStore.isRouterMode){const m=selectedModelName();if(m)return modelsStore.getModelProps(m)?.default_generation_settings?.params??{}}return serverStore.defaultParams??{}});var fragment=comment$2(),node2=first_child(fragment);each(node2,17,()=>$$props.fields,field=>field.key,($$anchor2,field)=>{var div=root_1$c(),node_1=child(div);{var consequent_4=$$anchor3=>{const currentValue=user_derived(()=>String($$props.localConfig[get$3(field).key]??"")),serverDefault=user_derived( -()=>get$3(sp)[get$3(field).key]),isCustomRealTime=user_derived(()=>(()=>{if(get$3(serverDefault)==null||get$3(currentValue)==="")return!1;const numericInput=parseFloat(get$3(currentValue)),normalizedInput=isNaN(numericInput)?get$3(currentValue):Math.round(numericInput*1e6)/1e6,normalizedDefault=typeof get$3(serverDefault)=="number"?Math.round(get$3(serverDefault)*1e6)/1e6:get$3(serverDefault);return normalizedInput!==normalizedDefault})());var fragment_1=root_2$k(),div_1=first_child(fragment_1), -node_2=child(div_1);Label(node_2,{get for(){return get$3(field).key},class:"flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_2=root_3$c(),text2=first_child(fragment_2),node_3=sibling(text2);{var consequent=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_3,$$render=>{get$3(field).isExperimental&&$$render(consequent)})}template_effect(()=>set_text(text2,`${get$3(field).label??""} `)),append($$anchor4, -fragment_2)},$$slots:{default:!0}});var node_4=sibling(node_2,2);{var consequent_1=$$anchor4=>{ChatSettingsParameterSourceIndicator($$anchor4,{})};if_block(node_4,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_1)})}reset(div_1);var div_2=sibling(div_1,2),node_5=child(div_2);{let $0=user_derived(()=>get$3(sp)[get$3(field).key]!=null?`Default: ${normalizeFloatingPoint(get$3(sp)[get$3(field).key])}`:""),$1=user_derived(()=>get$3(isCustomRealTime)?"pr-8":"");Input(node_5,{get id(){return get$3( -field).key},get value(){return get$3(currentValue)},oninput:e=>{$$props.onConfigChange(get$3(field).key,e.currentTarget.value)},get placeholder(){return get$3($0)},get class(){return`w-full ${get$3($1)??""}`}})}var node_6=sibling(node_5,2);{var consequent_2=$$anchor4=>{var button=root_6$9(),node_7=child(button);Rotate_ccw(node_7,{class:"h-3 w-3"}),reset(button),delegated("click",button,()=>{settingsStore.resetParameterToServerDefault(get$3(field).key),$$props.onConfigChange(get$3(field).key,"")}), -append($$anchor4,button)};if_block(node_6,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_2)})}reset(div_2);var node_8=sibling(div_2,2);{var consequent_3=$$anchor4=>{var p_1=root_7$7();html$6(p_1,()=>get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key],!0),reset(p_1),append($$anchor4,p_1)};if_block(node_8,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_3)})}append($$anchor3,fragment_1)},consequent_8=$$anchor3=>{var fragment_5=root_8$8(),node_9=first_child( -fragment_5);Label(node_9,{get for(){return get$3(field).key},class:"block flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_6=root_9$5(),text_1=first_child(fragment_6),node_10=sibling(text_1);{var consequent_5=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_10,$$render=>{get$3(field).isExperimental&&$$render(consequent_5)})}template_effect(()=>set_text(text_1,`${get$3(field).label??""} `)),append( -$$anchor4,fragment_6)},$$slots:{default:!0}});var node_11=sibling(node_9,2);{let $0=user_derived(()=>String($$props.localConfig[get$3(field).key]??""));Textarea(node_11,{get id(){return get$3(field).key},get value(){return get$3($0)},onchange:e=>$$props.onConfigChange(get$3(field).key,e.currentTarget.value),placeholder:"",class:"min-h-[10rem] w-full md:max-w-3xl"})}var node_12=sibling(node_11,2);{var consequent_6=$$anchor4=>{var p_2=root_11$3(),text_2=child(p_2,!0);reset(p_2),template_effect(()=>set_text( -text_2,get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])),append($$anchor4,p_2)};if_block(node_12,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_6)})}var node_13=sibling(node_12,2);{var consequent_7=$$anchor4=>{var div_3=root_12$2(),node_14=child(div_3);{let $0=user_derived(()=>!!($$props.localConfig.showSystemMessage??!0));Checkbox(node_14,{id:"showSystemMessage",get checked(){return get$3($0)},onCheckedChange:checked=>$$props.onConfigChange("\ -showSystemMessage",!!checked)})}var node_15=sibling(node_14,2);Label(node_15,{for:"showSystemMessage",class:"cursor-pointer text-sm font-normal",children:($$anchor5,$$slotProps)=>{next$1();var text_3=text$8("Show system message in conversations");append($$anchor5,text_3)},$$slots:{default:!0}}),reset(div_3),append($$anchor4,div_3)};if_block(node_13,$$render=>{get$3(field).key===SETTINGS_KEYS.SYSTEM_MESSAGE&&$$render(consequent_7)})}append($$anchor3,fragment_5)},consequent_16=$$anchor3=>{const selectedOption=user_derived( -()=>get$3(field).options?.find(opt=>opt.value===$$props.localConfig[get$3(field).key])),currentValue=user_derived(()=>$$props.localConfig[get$3(field).key]),serverDefault=user_derived(()=>get$3(sp)[get$3(field).key]),isCustomRealTime=user_derived(()=>get$3(serverDefault)==null||get$3(currentValue)===""||get$3(currentValue)===void 0?!1:get$3(currentValue)!==get$3(serverDefault));var fragment_8=root_14$1(),div_4=first_child(fragment_8),node_16=child(div_4);Label(node_16,{get for(){return get$3(field). -key},class:"flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_9=root_15$2(),text_4=first_child(fragment_9),node_17=sibling(text_4);{var consequent_9=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_17,$$render=>{get$3(field).isExperimental&&$$render(consequent_9)})}template_effect(()=>set_text(text_4,`${get$3(field).label??""} `)),append($$anchor4,fragment_9)},$$slots:{default:!0}});var node_18=sibling( -node_16,2);{var consequent_10=$$anchor4=>{ChatSettingsParameterSourceIndicator($$anchor4,{})};if_block(node_18,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_10)})}reset(div_4);var node_19=sibling(div_4,2);component(node_19,()=>Root,($$anchor4,Select_Root)=>{Select_Root($$anchor4,{type:"single",get value(){return get$3(currentValue)},onValueChange:value=>{get$3(field).key===SETTINGS_KEYS.THEME&&value&&$$props.onThemeChange?$$props.onThemeChange(value):$$props.onConfigChange(get$3(field). -key,value)},children:($$anchor5,$$slotProps)=>{var fragment_12=root_18$1(),div_5=first_child(fragment_12),node_20=child(div_5);component(node_20,()=>Select_trigger,($$anchor6,Select_Trigger)=>{Select_Trigger($$anchor6,{class:"w-full",children:($$anchor7,$$slotProps2)=>{var div_6=root_19$2(),node_21=child(div_6);{var consequent_11=$$anchor8=>{const IconComponent=user_derived(()=>get$3(selectedOption).icon);var fragment_13=comment$2(),node_22=first_child(fragment_13);component(node_22,()=>get$3(IconComponent), -($$anchor9,IconComponent_1)=>{IconComponent_1($$anchor9,{class:"h-4 w-4"})}),append($$anchor8,fragment_13)};if_block(node_21,$$render=>{get$3(selectedOption)?.icon&&$$render(consequent_11)})}var text_5=sibling(node_21);reset(div_6),template_effect($0=>set_text(text_5,` ${$0??""}`),[()=>get$3(selectedOption)?.label||`Select ${get$3(field).label.toLowerCase()}`]),append($$anchor7,div_6)},$$slots:{default:!0}})});var node_23=sibling(node_20,2);{var consequent_12=$$anchor6=>{var button_1=root_21$1(), -node_24=child(button_1);Rotate_ccw(node_24,{class:"h-3 w-3"}),reset(button_1),delegated("click",button_1,()=>{settingsStore.resetParameterToServerDefault(get$3(field).key),$$props.onConfigChange(get$3(field).key,"")}),append($$anchor6,button_1)};if_block(node_23,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_12)})}reset(div_5);var node_25=sibling(div_5,2);component(node_25,()=>Select_content,($$anchor6,Select_Content)=>{Select_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{var fragment_14=comment$2(), -node_26=first_child(fragment_14);{var consequent_14=$$anchor8=>{var fragment_15=comment$2(),node_27=first_child(fragment_15);each(node_27,17,()=>get$3(field).options,option2=>option2.value,($$anchor9,option2)=>{var fragment_16=comment$2(),node_28=first_child(fragment_16);component(node_28,()=>Select_item,($$anchor10,Select_Item)=>{Select_Item($$anchor10,{get value(){return get$3(option2).value},get label(){return get$3(option2).label},children:($$anchor11,$$slotProps3)=>{var div_7=root_25$1(),node_29=child( -div_7);{var consequent_13=$$anchor12=>{const IconComponent=user_derived(()=>get$3(option2).icon);var fragment_17=comment$2(),node_30=first_child(fragment_17);component(node_30,()=>get$3(IconComponent),($$anchor13,IconComponent_2)=>{IconComponent_2($$anchor13,{class:"h-4 w-4"})}),append($$anchor12,fragment_17)};if_block(node_29,$$render=>{get$3(option2).icon&&$$render(consequent_13)})}var text_6=sibling(node_29);reset(div_7),template_effect(()=>set_text(text_6,` ${get$3(option2).label??""}`)),append( -$$anchor11,div_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_16)}),append($$anchor8,fragment_15)};if_block(node_26,$$render=>{get$3(field).options&&$$render(consequent_14)})}append($$anchor7,fragment_14)},$$slots:{default:!0}})}),append($$anchor5,fragment_12)},$$slots:{default:!0}})});var node_31=sibling(node_19,2);{var consequent_15=$$anchor4=>{var p_3=root_27(),text_7=child(p_3,!0);reset(p_3),template_effect(()=>set_text(text_7,get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])), -append($$anchor4,p_3)};if_block(node_31,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_15)})}append($$anchor3,fragment_8)},consequent_19=$$anchor3=>{var div_8=root_28(),node_32=child(div_8);{let $0=user_derived(()=>!!$$props.localConfig[get$3(field).key]);Checkbox(node_32,{get id(){return get$3(field).key},get checked(){return get$3($0)},onCheckedChange:checked=>$$props.onConfigChange(get$3(field).key,checked),class:"mt-1"})}var div_9=sibling(node_32,2), -label=child(div_9),text_8=child(label),node_33=sibling(text_8);{var consequent_17=$$anchor4=>{Flask_conical($$anchor4,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_33,$$render=>{get$3(field).isExperimental&&$$render(consequent_17)})}reset(label);var node_34=sibling(label,2);{var consequent_18=$$anchor4=>{var p_4=root_30(),text_9=child(p_4,!0);reset(p_4),template_effect(()=>set_text(text_9,get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])),append($$anchor4,p_4)};if_block(node_34, -$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_18)})}reset(div_9),reset(div_8),template_effect(()=>{set_attribute(label,"for",get$3(field).key),set_text(text_8,`${get$3(field).label??""} `)}),append($$anchor3,div_8)};if_block(node_1,$$render=>{get$3(field).type===SettingsFieldType.INPUT?$$render(consequent_4):get$3(field).type===SettingsFieldType.TEXTAREA?$$render(consequent_8,1):get$3(field).type===SettingsFieldType.SELECT?$$render(consequent_16,2):get$3( -field).type===SettingsFieldType.CHECKBOX&&$$render(consequent_19,3)})}reset(div),append($$anchor2,div)}),append($$anchor,fragment),pop()}delegate(["click"]);var root_1$b=from_html(" Custom",1);function ChatSettingsParameterSourceIndicator($$anchor,$$props){let className=prop($$props,"class",3,"");Badge($$anchor,{variant:"secondary",get class(){return`h-5 bg-orange-100 px-1.5 py-0.5 text-xs text-orange-800 dark:bg-orange-900 dark:text-orange-200 ${className()??""}`},children:($$anchor2,$$slotProps)=>{ -var fragment_1=root_1$b(),node2=first_child(fragment_1);Wrench(node2,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var root_1$a=from_html('
          No tools available
          '),root_8$7=from_html(''),root_5$8=from_html(' ',1),root_10$3=from_html('
          '),root_9$4=from_html('
          Tool Enabled Always allow
          '),root_4$8=from_html(" ",1),root_2$j=from_html('
          ');function ChatSettingsToolsTab($$anchor,$$props){push$1($$props,!0);let expandedGroups=new SvelteSet,groups=user_derived(()=>toolsStore.toolGroups);function getFavicon(group){if(group.source!==ToolSource.MCP)return null;for(const server of mcpStore.getServersSorted())if(mcpStore.getServerLabel(server)===group.label)return mcpStore. -getServerFavicon(server.id);return null}function toggleExpanded(label){expandedGroups.has(label)?expandedGroups.delete(label):expandedGroups.add(label)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$a();append($$anchor2,div)},alternate_1=$$anchor2=>{var div_1=root_2$j();each(div_1,21,()=>get$3(groups),group=>group.label,($$anchor3,group)=>{const isExpanded=user_derived(()=>expandedGroups.has(get$3(group).label)),favicon=user_derived(()=>getFavicon( -get$3(group)));var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor4,Collapsible_Root)=>{Collapsible_Root($$anchor4,{get open(){return get$3(isExpanded)},onOpenChange:()=>toggleExpanded(get$3(group).label),children:($$anchor5,$$slotProps)=>{var fragment_2=root_4$8(),node_2=first_child(fragment_2);component(node_2,()=>Collapsible_trigger,($$anchor6,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor6,{class:"flex w-full items-center gap-2 rounded-lg\ - px-3 py-2 text-sm hover:bg-muted/50",children:($$anchor7,$$slotProps2)=>{var fragment_3=root_5$8(),node_3=first_child(fragment_3);{var consequent_1=$$anchor8=>{Chevron_down($$anchor8,{class:"h-3.5 w-3.5 shrink-0"})},alternate=$$anchor8=>{Chevron_right($$anchor8,{class:"h-3.5 w-3.5 shrink-0"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render(consequent_1):$$render(alternate,-1)})}var span=sibling(node_3,2),node_4=child(span);{var consequent_2=$$anchor8=>{var img=root_8$7();template_effect( -()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor8,img)};if_block(node_4,$$render=>{get$3(favicon)&&$$render(consequent_2)})}var span_1=sibling(node_4,2),text2=child(span_1,!0);reset(span_1),reset(span);var span_2=sibling(span,2),text_1=child(span_2);reset(span_2),template_effect(()=>{set_text(text2,get$3(group).label),set_text(text_1,`${get$3(group).tools.length??""} tool${get$3(group).tools.length!==1?"s": -""}`)}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_5=sibling(node_2,2);component(node_5,()=>Collapsible_content,($$anchor6,Collapsible_Content)=>{Collapsible_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{var div_2=root_9$4(),node_6=sibling(child(div_2),2);each(node_6,17,()=>get$3(group).tools,tool=>tool.function.name,($$anchor8,tool)=>{const toolName=user_derived(()=>get$3(tool).function.name),isEnabled=user_derived(()=>toolsStore.isToolEnabled(get$3(toolName))),permissionKey=user_derived( -()=>toolsStore.getPermissionKey(get$3(toolName))),isAlwaysAllowed=user_derived(()=>get$3(permissionKey)?permissionsStore.hasTool(get$3(permissionKey)):!1);var div_3=root_10$3(),node_7=child(div_3);TruncatedText(node_7,{get text(){return get$3(toolName)},class:"min-w-0 flex-1 truncate",showTooltip:!0});var div_4=sibling(node_7,2),node_8=child(div_4);Checkbox(node_8,{get checked(){return get$3(isEnabled)},onCheckedChange:()=>toolsStore.toggleTool(get$3(toolName)),class:"h-4 w-4"}),reset(div_4);var div_5=sibling( -div_4,2),node_9=child(div_5);Checkbox(node_9,{get checked(){return get$3(isAlwaysAllowed)},onCheckedChange:()=>{get$3(isAlwaysAllowed)?permissionsStore.revokeTool(get$3(permissionKey)):permissionsStore.allowTool(get$3(permissionKey))},class:"h-4 w-4"}),reset(div_5),reset(div_3),append($$anchor8,div_3)}),reset(div_2),append($$anchor7,div_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)}),reset(div_1),append($$anchor2,div_1)};if_block( -node2,$$render=>{get$3(groups).length===0?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}const SIDEBAR_COOKIE_NAME="sidebar:state",SIDEBAR_COOKIE_MAX_AGE=3600*24*7,SIDEBAR_MIN_WIDTH="18rem",SIDEBAR_MAX_WIDTH="32rem",SIDEBAR_WIDTH_ICON="3rem",SIDEBAR_KEYBOARD_SHORTCUT="b";class SidebarState{props;#open=user_derived(()=>this.props.open());get open(){return get$3(this.#open)}set open(value){set$1(this.#open,value)}#openMobile=state$1(!1);get openMobile(){return get$3( -this.#openMobile)}set openMobile(value){set$1(this.#openMobile,value,!0)}#sidebarWidth=state$1(proxy(SIDEBAR_MIN_WIDTH));get sidebarWidth(){return get$3(this.#sidebarWidth)}set sidebarWidth(value){set$1(this.#sidebarWidth,value,!0)}#isResizing=state$1(!1);get isResizing(){return get$3(this.#isResizing)}set isResizing(value){set$1(this.#isResizing,value,!0)}setOpen;#isMobile;#state=user_derived(()=>this.open?"expanded":"collapsed");get state(){return get$3(this.#state)}set state(value){set$1(this.#state, -value)}constructor(props){this.setOpen=props.setOpen,this.#isMobile=new IsMobile,this.props=props}get isMobile(){return this.#isMobile.current}handleShortcutKeydown=e=>{e.key===SIDEBAR_KEYBOARD_SHORTCUT&&(e.metaKey||e.ctrlKey)&&(e.preventDefault(),this.toggle())};setOpenMobile=value=>{this.openMobile=value};toggle=()=>{this.setOpen(!this.open)}}const SYMBOL_KEY="scn-sidebar";function setSidebar(props){return setContext(Symbol.for(SYMBOL_KEY),new SidebarState(props))}function useSidebar(){return getContext( -Symbol.for(SYMBOL_KEY))}var root$v=from_html("
          ");function Sidebar_group_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$v();attribute_effect(div,$0=>({"data-slot":"sidebar-group-content","data-sidebar":"group-content",class:$0,...restProps}),[()=>cn$1("w-full text-sm",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3), -reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_2$i=from_html("
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          <\ -!>
          ");function Sidebar_inset($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var main2=root$s();attribute_effect(main2,$0=>({"data-slot":"sidebar-inset",class:$0,...restProps}),[()=>cn$1("relative flex w-full flex-1 flex-col","md:peer-data-[variant=inset]:m-2 md:peer-data-[variant=inset]:ml-0 md:peer-data-[variant=inset]:rounded-xl md:peer-data-[variant=inset]:shadow-sm md:pee\ -r-data-[variant=inset]:peer-data-[state=collapsed]:ml-2",$$props.class)]);var node2=child(main2);snippet(node2,()=>$$props.children??noop$3),reset(main2),bind_this(main2,$$value=>ref2($$value),()=>ref2()),append($$anchor,main2),pop()}tv({base:"peer/menu-button outline-hidden ring-sidebar-ring hover:bg-sidebar-accent hover:text-sidebar-accent-foreground active:bg-sidebar-accent active:text-sidebar-accent-foreground group-has-data-[sidebar=menu-action]/menu-item:pr-8 data-[active=true]:bg-sidebar-\ -accent data-[active=true]:text-sidebar-accent-foreground data-[state=open]:hover:bg-sidebar-accent data-[state=open]:hover:text-sidebar-accent-foreground group-data-[collapsible=icon]:size-8! group-data-[collapsible=icon]:p-2! flex w-full items-center gap-2 overflow-hidden rounded-md py-2 px-1 text-left text-sm transition-[width,height,padding] focus-visible:ring-2 disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 data-[active=true]:font-\ -medium [&>span:last-child]:truncate [&>svg]:size-4 [&>svg]:shrink-0",variants:{variant:{default:"hover:bg-sidebar-accent hover:text-sidebar-accent-foreground",outline:"bg-background hover:bg-sidebar-accent hover:text-sidebar-accent-foreground shadow-[0_0_0_1px_var(--sidebar-border)] hover:shadow-[0_0_0_1px_var(--sidebar-accent)]"},size:{default:"h-8 text-sm",sm:"h-7 text-xs",lg:"group-data-[collapsible=icon]:p-0! h-12 text-sm"}},defaultVariants:{variant:"default",size:"default"}});var root$r=from_html( -"
          • ");function Sidebar_menu_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var li2=root$r();attribute_effect(li2,$0=>({"data-slot":"sidebar-menu-item","data-sidebar":"menu-item",class:$0,...restProps}),[()=>cn$1("group/menu-item relative",$$props.class)]);var node2=child(li2);snippet(node2,()=>$$props.children??noop$3),reset(li2),bind_this(li2,$$value=>ref2($$value), -()=>ref2()),append($$anchor,li2),pop()}var root$q=from_html("
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          ");function Sidebar_provider($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!0),onOpenChange=prop($$props,"onOpenChange",3,()=>{}),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","open","onOpenChange","class","style","children"]);const sidebar=setSidebar({open:()=>open2(),setOpen:value=>{open2(value),onOpenChange()( -value),document.cookie=`${SIDEBAR_COOKIE_NAME}=${open2()}; path=/; max-age=${SIDEBAR_COOKIE_MAX_AGE}`}});var div=root$p();event("keydown",$window,function(...$$args){sidebar.handleShortcutKeydown?.apply(this,$$args)}),attribute_effect(div,$0=>({"data-slot":"sidebar-wrapper",style:`--sidebar-width: ${sidebar.sidebarWidth??""}; --sidebar-min-width: ${SIDEBAR_MIN_WIDTH}; --sidebar-max-width: ${SIDEBAR_MAX_WIDTH}; --sidebar-width-icon: ${SIDEBAR_WIDTH_ICON}; ${$$props.style??""}`,class:$0,...restProps}), -[()=>cn$1("group/sidebar-wrapper flex min-h-svh w-full has-data-[variant=inset]:bg-sidebar",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_1$9=from_html(' Toggle Sidebar',1);function Sidebar_trigger($$anchor,$$props){push$1($$props,!0),prop($$props,"ref",11,null);let restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","\ -class","onclick"]);const sidebar=useSidebar();{let $0=user_derived(()=>$$props.class),$1=user_derived(()=>sidebar.open?"top-1.5":"top-0"),$2=user_derived(()=>sidebar.isResizing?"!duration-0":"");Button($$anchor,spread_props({"data-sidebar":"trigger","data-slot":"sidebar-trigger",variant:"ghost",size:"icon-lg",get class(){return`rounded-full backdrop-blur-lg ${get$3($0)??""} ${get$3($1)??""} md:left-[calc(var(--sidebar-width)-3.25rem)] ${get$3($2)??""}`},type:"button",onclick:e=>{$$props.onclick?.( -e),sidebar.toggle()}},()=>restProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$9(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{Panel_left_close($$anchor3,{})},alternate=$$anchor3=>{Panel_left($$anchor3,{})};if_block(node2,$$render=>{sidebar.open?$$render(consequent):$$render(alternate,-1)})}next$1(2),append($$anchor2,fragment_1)},$$slots:{default:!0}}))}pop()}var root_1$8=from_html("
          "),root_3$b=from_html('
          '), -root_4$7=from_html('
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1.\ -5rem);":void 0,...restProps}),[()=>cn$1("fixed inset-y-0 z-[900] flex w-[calc(100dvw-1.5rem)] duration-200 ease-linear md:z-0 md:w-(--sidebar-width)","group-data-[collapsible=offcanvas]:pointer-events-none md:group-data-[collapsible=offcanvas]:pointer-events-auto",sidebar.isResizing&&"!duration-0",variant()==="floating"?["transition-[left,right,width,opacity]",side()==="left"?"left-3 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsible=offcanvas]:op\ -acity-0":"right-3 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsible=offcanvas]:opacity-0","my-3 overflow-hidden rounded-3xl border border-sidebar-border shadow-md"]:["h-svh transition-[left,right,width]",side()==="left"?"left-0 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-1)]":"right-0 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-1)]"],variant()==="inset"?"p-2 group-data-[collapsible=icon]:w-[calc(v\ -ar(--sidebar-width-icon)+(--spacing(4))+2px)]":variant()==="floating"?"group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)",$$props.class)]);var div_4=child(div_3),node_2=child(div_4);snippet(node_2,()=>$$props.children??noop$3),reset(div_4);var node_3=sibling(div_4,2);{var consequent_1=$$anchor3=>{var div_5=root_3$b();let classes;template_effect(()=>classes=set_class(div_5,1,"absolute inset-y-0 right-0 z-5\ -0 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sidebar-border md:block",null,classes,{"bg-sidebar-border":sidebar.isResizing})),delegated("pointerdown",div_5,handleResizePointerDown),append($$anchor3,div_5)},alternate=$$anchor3=>{var div_6=root_4$7();let classes_1;template_effect(()=>classes_1=set_class(div_6,1,"absolute inset-y-0 left-0 z-50 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sidebar-border md:bl\ -ock",null,classes_1,{"bg-sidebar-border":sidebar.isResizing})),delegated("pointerdown",div_6,handleResizePointerDown),append($$anchor3,div_6)};if_block(node_3,$$render=>{side()==="left"?$$render(consequent_1):$$render(alternate,-1)})}reset(div_3),reset(div_1),bind_this(div_1,$$value=>ref2($$value),()=>ref2()),template_effect($0=>{set_attribute(div_1,"data-state",sidebar.state),set_attribute(div_1,"data-collapsible",sidebar.state==="collapsed"?collapsible():""),set_attribute(div_1,"data-variant", -variant()),set_attribute(div_1,"data-side",side()),set_class(div_2,1,$0)},[()=>clsx(cn$1("relative bg-transparent transition-[width] duration-200 ease-linear",sidebar.isResizing&&"!duration-0","w-0",variant()==="floating"?"md:w-[calc(var(--sidebar-width)+0.75rem)]":"md:w-(--sidebar-width)","md:group-data-[collapsible=offcanvas]:w-0","group-data-[side=right]:rotate-180",variant()==="floating"||variant()==="inset"?"group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)\ -]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)"))]),append($$anchor2,div_1)};if_block(node2,$$render=>{collapsible()==="none"?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}delegate(["pointerdown"]);const itemIcon=($$anchor,Icon2=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);component(node2,Icon2,($$anchor2,Icon_1)=>{Icon_1($$anchor2,{class:"h-4 w-4"})}),append($$anchor,fragment)};var root_6$8=from_html('
          ',1),root_9$3=from_html('
          ',1),root$o=from_html('
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          '),root_8$6=from_html(" ",1),root_4$6=from_html(" ",1),root_1$7=from_html(" ",1),root_13$1=from_html('
          '),root$n=from_html('
          ',1);function ChatSidebar($$anchor,$$props){push$1($$props,!0);const sidebar=useSidebar();let currentChatId=user_derived(()=>page$1.params. -id),isSearchModeActive=state$1(!1),searchQuery=state$1(""),showDeleteDialog=state$1(!1),deleteWithForks=state$1(!1),showEditDialog=state$1(!1),selectedConversation=state$1(null),editedName=state$1(""),selectedConversationNamePreview=user_derived(()=>get$3(selectedConversation)?getPreviewText(get$3(selectedConversation).name):""),filteredConversations=user_derived(()=>get$3(isSearchModeActive)?get$3(searchQuery).trim().length>0?conversations().filter(conversation=>conversation.name.toLowerCase(). -includes(get$3(searchQuery).toLowerCase())):[]:conversations()),conversationTree=user_derived(()=>buildConversationTree(get$3(filteredConversations))),selectedConversationHasDescendants=user_derived(()=>{if(!get$3(selectedConversation))return!1;const allConvs=conversations(),queue=[get$3(selectedConversation).id];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of allConvs)if(c2.forkedFromConversationId===parentId)return!0}return!1});async function handleDeleteConversation(id2){const conversation=conversations(). -find(conv=>conv.id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(deleteWithForks,!1),set$1(showDeleteDialog,!0))}async function handleEditConversation(id2){const conversation=conversations().find(conv=>conv.id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(editedName,conversation.name,!0),set$1(showEditDialog,!0))}function handleConfirmDelete(){if(get$3(selectedConversation)){const convId=get$3(selectedConversation).id,withForks=get$3(deleteWithForks); -set$1(showDeleteDialog,!1),setTimeout(()=>{conversationsStore.deleteConversation(convId,{deleteWithForks:withForks})},100)}}function handleConfirmEdit(){!get$3(editedName).trim()||!get$3(selectedConversation)||(set$1(showEditDialog,!1),conversationsStore.updateConversationName(get$3(selectedConversation).id,get$3(editedName)),set$1(selectedConversation,null))}function handleMobileSidebarItemClick(){sidebar.isMobile&&sidebar.toggle()}let chatSidebarActions=state$1(void 0),openedForSearch=state$1( -!1);function activateSearchMode(){sidebar.open||set$1(openedForSearch,!0),get$3(chatSidebarActions)?.activateSearch?.()}function handleSearchDeactivated(){get$3(openedForSearch)&&(set$1(openedForSearch,!1),sidebar.toggle())}user_effect(()=>{sidebar.open||(set$1(isSearchModeActive,!1),set$1(searchQuery,""),set$1(openedForSearch,!1))});function editActiveConversation(){if(get$3(currentChatId)&&get$3(filteredConversations).find(conv=>conv.id===get$3(currentChatId))){const event2=new CustomEvent("ed\ -it-active-conversation",{detail:{conversationId:get$3(currentChatId)}});document.dispatchEvent(event2)}}async function selectConversation(id2){get$3(isSearchModeActive)&&(set$1(isSearchModeActive,!1),set$1(searchQuery,"")),handleMobileSidebarItemClick(),await goto(`#/chat/${id2}`)}function handleStopGeneration(id2){chatStore.stopGenerationForChat(id2)}var $$exports={handleMobileSidebarItemClick,activateSearchMode,editActiveConversation},fragment=root$n(),div=first_child(fragment),node2=child(div); -Scroll_area(node2,{class:"h-full flex-1",children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$7(),node_1=first_child(fragment_1);component(node_1,()=>Sidebar_header,($$anchor3,Sidebar_Header)=>{Sidebar_Header($$anchor3,{class:"gap-4 bg-sidebar/50 p-3 backdrop-blur-lg md:pt-4 md:pb-2",children:($$anchor4,$$slotProps2)=>{var fragment_2=root_2$g(),div_1=first_child(fragment_2),a=child(div_1),h1=child(a),text2=child(h1,!0);reset(h1),reset(a);var node_2=sibling(a,2);Button(node_2,{class:"rounded-\ -full md:hidden",variant:"ghost",size:"icon",onclick:()=>sidebar.toggle(),children:($$anchor5,$$slotProps3)=>{var fragment_3=root_3$a(),node_3=first_child(fragment_3);X(node_3,{class:"h-4 w-4"}),next$1(2),append($$anchor5,fragment_3)},$$slots:{default:!0}}),reset(div_1);var node_4=sibling(div_1,2);bind_this(ChatSidebarActions(node_4,{handleMobileSidebarItemClick,onSearchDeactivated:handleSearchDeactivated,get isSearchModeActive(){return get$3(isSearchModeActive)},set isSearchModeActive($$value){set$1( -isSearchModeActive,$$value,!0)},get searchQuery(){return get$3(searchQuery)},set searchQuery($$value){set$1(searchQuery,$$value,!0)}}),$$value=>set$1(chatSidebarActions,$$value,!0),()=>get$3(chatSidebarActions)),template_effect(()=>set_text(text2,APP_NAME)),delegated("click",a,handleMobileSidebarItemClick),append($$anchor4,fragment_2)},$$slots:{default:!0}})});var node_5=sibling(node_1,2);component(node_5,()=>Sidebar_group,($$anchor3,Sidebar_Group)=>{Sidebar_Group($$anchor3,{class:"mt-2 h-[calc(\ -100vh-21rem)] space-y-2 p-0 px-3",children:($$anchor4,$$slotProps2)=>{var fragment_4=root_4$6(),node_6=first_child(fragment_4);{var consequent=$$anchor5=>{var fragment_5=comment$2(),node_7=first_child(fragment_5);component(node_7,()=>Sidebar_group_label,($$anchor6,Sidebar_GroupLabel)=>{Sidebar_GroupLabel($$anchor6,{children:($$anchor7,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$3(isSearchModeActive)?"Search results":"Recent conversations")),append($$anchor7, -text_1)},$$slots:{default:!0}})}),append($$anchor5,fragment_5)};if_block(node_6,$$render=>{(get$3(filteredConversations).length>0&&get$3(isSearchModeActive)||!get$3(isSearchModeActive))&&$$render(consequent)})}var node_8=sibling(node_6,2);component(node_8,()=>Sidebar_group_content,($$anchor5,Sidebar_GroupContent)=>{Sidebar_GroupContent($$anchor5,{children:($$anchor6,$$slotProps3)=>{var fragment_7=comment$2(),node_9=first_child(fragment_7);component(node_9,()=>Sidebar_menu,($$anchor7,Sidebar_Menu)=>{ -Sidebar_Menu($$anchor7,{children:($$anchor8,$$slotProps4)=>{var fragment_8=root_8$6(),node_10=first_child(fragment_8);each(node_10,17,()=>get$3(conversationTree),({conversation,depth})=>conversation.id,($$anchor9,$$item)=>{let conversation=()=>get$3($$item).conversation,depth=()=>get$3($$item).depth;var fragment_9=comment$2(),node_11=first_child(fragment_9);component(node_11,()=>Sidebar_menu_item,($$anchor10,Sidebar_MenuItem)=>{Sidebar_MenuItem($$anchor10,{class:"mb-1 p-0",children:($$anchor11,$$slotProps5)=>{ -{let $0=user_derived(()=>({id:conversation().id,name:conversation().name,lastModified:conversation().lastModified,currNode:conversation().currNode,forkedFromConversationId:conversation().forkedFromConversationId})),$1=user_derived(()=>get$3(currentChatId)===conversation().id);ChatSidebarConversationItem($$anchor11,{get conversation(){return get$3($0)},get depth(){return depth()},get isActive(){return get$3($1)},onSelect:selectConversation,onEdit:handleEditConversation,onDelete:handleDeleteConversation, -onStop:handleStopGeneration})}},$$slots:{default:!0}})}),append($$anchor9,fragment_9)});var node_12=sibling(node_10,2);{var consequent_1=$$anchor9=>{var div_2=root_11$2(),p2=child(div_2),text_2=child(p2,!0);reset(p2),reset(div_2),template_effect(()=>set_text(text_2,get$3(searchQuery).length>0?"No results found":get$3(isSearchModeActive)?"Start typing to see results":"No conversations yet")),append($$anchor9,div_2)};if_block(node_12,$$render=>{get$3(conversationTree).length===0&&$$render(consequent_1)})} -append($$anchor8,fragment_8)},$$slots:{default:!0}})}),append($$anchor6,fragment_7)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div);var node_13=sibling(div,2);{let $0=user_derived(()=>get$3(selectedConversation)?`Are you sure you want to delete "${get$3(selectedConversationNamePreview)}"? This action cannot be undone and will permanently remove all messages in this conversation.`:"");DialogConfirmation( -node_13,{title:"Delete Conversation",get description(){return get$3($0)},confirmText:"Delete",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>{set$1(showDeleteDialog,!1),set$1(selectedConversation,null)},get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var fragment_11=comment$2(),node_14=first_child(fragment_11);{var consequent_2=$$anchor3=>{var div_3=root_13$1(), -node_15=child(div_3);Checkbox(node_15,{id:"delete-with-forks",get checked(){return get$3(deleteWithForks)},set checked($$value){set$1(deleteWithForks,$$value,!0)}});var node_16=sibling(node_15,2);Label(node_16,{for:"delete-with-forks",class:"text-sm",children:($$anchor4,$$slotProps2)=>{next$1();var text_3=text$8("Also delete all forked conversations");append($$anchor4,text_3)},$$slots:{default:!0}}),reset(div_3),append($$anchor3,div_3)};if_block(node_14,$$render=>{get$3(selectedConversationHasDescendants)&& -$$render(consequent_2)})}append($$anchor2,fragment_11)},$$slots:{default:!0}})}var node_17=sibling(node_13,2);return DialogConfirmation(node_17,{title:"Edit Conversation Name",description:"",confirmText:"Save",cancelText:"Cancel",get icon(){return Pencil},onConfirm:handleConfirmEdit,onCancel:()=>{set$1(showEditDialog,!1),set$1(selectedConversation,null)},onKeydown:e=>{e.key==="Enter"&&(e.preventDefault(),e.stopImmediatePropagation(),handleConfirmEdit())},get open(){return get$3(showEditDialog)}, -set open($$value){set$1(showEditDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{Input($$anchor2,{class:"text-foreground",placeholder:"Enter a new name",type:"text",get value(){return get$3(editedName)},set value($$value){set$1(editedName,$$value,!0)}})},$$slots:{default:!0}}),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_3$9=from_html(''),root_4$5=from_html("<\ -p>See parent conversation

          "),root_2$f=from_html(" ",1),root_7$6=from_html('
          '),root_8$5=from_html("

          Stop generation

          "),root_6$7=from_html(" ",1),root_9$2=from_html('
          '),root$m=from_html('
          ');function ChatSidebarConversationItem($$anchor,$$props){push$1($$props,!0);let isActive=prop($$props,"isActive",3,!1),depth=prop($$props,"depth",3,0),renderActionsDropdown=state$1(!1),dropdownOpen=state$1(!1),isLoading2=user_derived(()=>getAllLoadingChats().includes($$props.conversation.id));function handleEdit(event2){event2.stopPropagation(),$$props.onEdit?.($$props. -conversation.id)}function handleDelete2(event2){event2.stopPropagation(),$$props.onDelete?.($$props.conversation.id)}function handleStop(event2){event2.stopPropagation(),$$props.onStop?.($$props.conversation.id)}function handleGlobalEditEvent(event2){event2.detail.conversationId===$$props.conversation.id&&isActive()&&handleEdit(event2)}function handleMouseLeave(){get$3(dropdownOpen)||set$1(renderActionsDropdown,!1)}function handleMouseOver(){set$1(renderActionsDropdown,!0)}function handleSelect(){ -$$props.onSelect?.($$props.conversation.id)}user_effect(()=>{get$3(dropdownOpen)||set$1(renderActionsDropdown,!1)}),onMount$1(()=>(document.addEventListener("edit-active-conversation",handleGlobalEditEvent),()=>{document.removeEventListener("edit-active-conversation",handleGlobalEditEvent)}));var button=root$m(),div=child(button);let styles2;var node2=child(div);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{ -Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$f(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var a=root_3$9(),node_3=child(a);Git_branch(node_3,{class:"h-3.5 w-3.5"}),reset(a),template_effect(()=>set_attribute(a,"href",`#/chat/${$$props.conversation.forkedFromConversationId??""}`)),append($$anchor6,a)},$$slots:{default:!0}})});var node_4=sibling( -node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$5();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{depth()>0&&$$render(consequent)})}var node_5=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor3,Tooltip_Root_1)=>{ -Tooltip_Root_1($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$7(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var div_1=root_7$6(),node_8=child(div_1);Loader_circle(node_8,{class:"loading-icon h-3.5 w-3.5 animate-spin"});var node_9=sibling(node_8,2);Square(node_9,{class:"stop-icon hidden h-3 w-3 fill-current text-destructive"}),reset(div_1),delegated("clic\ -k",div_1,handleStop),delegated("keydown",div_1,e=>e.key==="Enter"&&handleStop(e)),append($$anchor6,div_1)},$$slots:{default:!0}})});var node_10=sibling(node_7,2);component(node_10,()=>Tooltip_content,($$anchor5,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_1=root_8$5();append($$anchor6,p_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_3)},$$slots:{default:!0}})}),append($$anchor2,fragment_2)};if_block(node_5,$$render=>{get$3(isLoading2)&&$$render( -consequent_1)})}var span=sibling(node_5,2),text2=child(span,!0);reset(span),reset(div);var node_11=sibling(div,2);{var consequent_2=$$anchor2=>{var div_2=root_9$2(),node_12=child(div_2);{let $0=user_derived(()=>[{icon:Pencil,label:"Edit",onclick:handleEdit,shortcut:["shift","cmd","e"]},{icon:Download,label:"Export",onclick:e=>{e.stopPropagation(),conversationsStore.downloadConversation($$props.conversation.id)},shortcut:["shift","cmd","s"]},{icon:Trash_2,label:"Delete",onclick:handleDelete2,variant:"\ -destructive",shortcut:["shift","cmd","d"],separator:!0}]);DropdownMenuActions(node_12,{get triggerIcon(){return Ellipsis},triggerTooltip:"More actions",get actions(){return get$3($0)},get open(){return get$3(dropdownOpen)},set open($$value){set$1(dropdownOpen,$$value,!0)}})}reset(div_2),append($$anchor2,div_2)};if_block(node_11,$$render=>{get$3(renderActionsDropdown)&&$$render(consequent_2)})}reset(button),template_effect(()=>{set_class(button,1,`group flex min-h-9 w-full cursor-pointer items-ce\ -nter justify-between space-x-3 rounded-lg py-1.5 text-left transition-colors hover:bg-foreground/10 ${isActive()?"bg-foreground/5 text-accent-foreground":""} px-3`,"svelte-76ksb2"),styles2=set_style(div,"",styles2,{"padding-left":`${depth()*FORK_TREE_DEPTH_PADDING}px`}),set_text(text2,$$props.conversation.name)}),delegated("click",button,handleSelect),delegated("mouseover",button,handleMouseOver),event("mouseleave",button,handleMouseLeave),append($$anchor,button),pop()}delegate(["click","mouseov\ -er","keydown"]);const emptyOptions$7={};function toString$1(value,options){const settings=emptyOptions$7,includeImageAlt=typeof settings.includeImageAlt=="boolean"?settings.includeImageAlt:!0,includeHtml=typeof settings.includeHtml=="boolean"?settings.includeHtml:!0;return one$2(value,includeImageAlt,includeHtml)}function one$2(value,includeImageAlt,includeHtml){if(node(value)){if("value"in value)return value.type==="html"&&!includeHtml?"":value.value;if(includeImageAlt&&"alt"in value&&value.alt) -return value.alt;if("children"in value)return all$2(value.children,includeImageAlt,includeHtml)}return Array.isArray(value)?all$2(value,includeImageAlt,includeHtml):""}function all$2(values,includeImageAlt,includeHtml){const result=[];let index2=-1;for(;++index2end?0:end+start2:start2=start2>end?end:start2,remove2=remove2>0?remove2:0,items2.length<1e4)parameters=Array.from(items2),parameters.unshift(start2, -remove2),list2.splice(...parameters);else for(remove2&&list2.splice(start2,remove2);chunkStart0?(splice(list2,list2.length,0,items2),list2):items2}const hasOwnProperty={}.hasOwnProperty;function combineExtensions(extensions){const all2={};let index2=-1;for(;++index213&&code2<32||code2>126&&code2<160||code2>55295&&code2<57344||code2>64975&&code2<65008||(code2&65535)===65535||(code2&65535)===65534||code2>1114111?"�":String.fromCodePoint(code2)}function normalizeIdentifier(value){return value.replace(/[\t\n\r ]+/g," ").replace(/^ | $/g,"").toLowerCase(). -toUpperCase()}const asciiAlpha=regexCheck(/[A-Za-z]/),asciiAlphanumeric=regexCheck(/[\dA-Za-z]/),asciiAtext=regexCheck(/[#-'*+\--9=?A-Z^-~]/);function asciiControl(code2){return code2!==null&&(code2<32||code2===127)}const asciiDigit=regexCheck(/\d/),asciiHexDigit=regexCheck(/[\dA-Fa-f]/),asciiPunctuation=regexCheck(/[!-/:-@[-`{-~]/);function markdownLineEnding(code2){return code2!==null&&code2<-2}function markdownLineEndingOrSpace(code2){return code2!==null&&(code2<0||code2===32)}function markdownSpace(code2){ -return code2===-2||code2===-1||code2===32}const unicodePunctuation=regexCheck(new RegExp("\\p{P}|\\p{S}","u")),unicodeWhitespace=regexCheck(/\s/);function regexCheck(regex){return check;function check(code2){return code2!==null&&code2>-1&®ex.test(String.fromCharCode(code2))}}function normalizeUri(value){const result=[];let index2=-1,start2=0,skip=0;for(;++index255295&&code2<57344){const 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index2=-1;for(;++index21&&events[index2][1].end.offset-events[index2][1].start.offset>1?2:1;const start2={...events[open2][1].end},end={...events[index2][1].start};movePoint(start2,-use),movePoint(end,use),openingSequence={type:use>1?"strongSequence":"em\ -phasisSequence",start:start2,end:{...events[open2][1].end}},closingSequence={type:use>1?"strongSequence":"emphasisSequence",start:{...events[index2][1].start},end},text2={type:use>1?"strongText":"emphasisText",start:{...events[open2][1].end},end:{...events[index2][1].start}},group={type:use>1?"strong":"emphasis",start:{...openingSequence.start},end:{...closingSequence.end}},events[open2][1].end={...openingSequence.start},events[index2][1].start={...closingSequence.end},nextEvents=[],events[open2][1]. 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beforeContentChunk(code2){return code2===null||markdownLineEnding(code2)?effects.check(nonLazyContinuation$1,atNonLazyBreak, -after)(code2):(effects.enter("codeFlowValue"),contentChunk(code2))}function contentChunk(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFlowValue"),beforeContentChunk(code2)):(effects.consume(code2),contentChunk)}function after(code2){return effects.exit("codeFenced"),ok(code2)}function tokenizeCloseStart(effects2,ok2,nok2){let size2=0;return startBefore;function startBefore(code2){return effects2.enter("lineEnding"),effects2.consume(code2),effects2.exit("lineEnding"),start3} -function start3(code2){return effects2.enter("codeFencedFence"),markdownSpace(code2)?factorySpace(effects2,beforeSequenceClose,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):beforeSequenceClose(code2)}function beforeSequenceClose(code2){return code2===marker?(effects2.enter("codeFencedFenceSequence"),sequenceClose(code2)):nok2(code2)}function sequenceClose(code2){return code2===marker?(size2++,effects2.consume(code2),sequenceClose):size2>=sizeOpen?(effects2. -exit("codeFencedFenceSequence"),markdownSpace(code2)?factorySpace(effects2,sequenceCloseAfter,"whitespace")(code2):sequenceCloseAfter(code2)):nok2(code2)}function sequenceCloseAfter(code2){return code2===null||markdownLineEnding(code2)?(effects2.exit("codeFencedFence"),ok2(code2)):nok2(code2)}}}function tokenizeNonLazyContinuation$1(effects,ok,nok){const self2=this;return start2;function start2(code2){return code2===null?nok(code2):(effects.enter("lineEnding"),effects.consume(code2),effects.exit( -"lineEnding"),lineStart)}function lineStart(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}const codeIndented={name:"codeIndented",tokenize:tokenizeCodeIndented},furtherStart={partial:!0,tokenize:tokenizeFurtherStart};function tokenizeCodeIndented(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("codeIndented"),factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){const tail=self2.events[self2.events. -length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?atBreak(code2):nok(code2)}function atBreak(code2){return code2===null?after(code2):markdownLineEnding(code2)?effects.attempt(furtherStart,atBreak,after)(code2):(effects.enter("codeFlowValue"),inside(code2))}function inside(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFlowValue"),atBreak(code2)):(effects.consume(code2),inside)}function after(code2){return effects.exit("code\ -Indented"),ok(code2)}}function tokenizeFurtherStart(effects,ok,nok){const self2=this;return furtherStart2;function furtherStart2(code2){return self2.parser.lazy[self2.now().line]?nok(code2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),furtherStart2):factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize( -tail[1],!0).length>=4?ok(code2):markdownLineEnding(code2)?furtherStart2(code2):nok(code2)}}const codeText={name:"codeText",previous:previous$2,resolve:resolveCodeText,tokenize:tokenizeCodeText};function resolveCodeText(events){let tailExitIndex=events.length-4,headEnterIndex=3,index2,enter;if((events[headEnterIndex][1].type==="lineEnding"||events[headEnterIndex][1].type==="space")&&(events[tailExitIndex][1].type==="lineEnding"||events[tailExitIndex][1].type==="space")){for(index2=headEnterIndex;++index2< -tailExitIndex;)if(events[index2][1].type==="codeTextData"){events[headEnterIndex][1].type="codeTextPadding",events[tailExitIndex][1].type="codeTextPadding",headEnterIndex+=2,tailExitIndex-=2;break}}for(index2=headEnterIndex-1,tailExitIndex++;++index2<=tailExitIndex;)enter===void 0?index2!==tailExitIndex&&events[index2][1].type!=="lineEnding"&&(enter=index2):(index2===tailExitIndex||events[index2][1].type==="lineEnding")&&(events[enter][1].type="codeTextData",index2!==enter+2&&(events[enter][1].end= -events[index2-1][1].end,events.splice(enter+2,index2-enter-2),tailExitIndex-=index2-enter-2,index2=enter+2),enter=void 0);return events}function previous$2(code2){return code2!==96||this.events[this.events.length-1][1].type==="characterEscape"}function tokenizeCodeText(effects,ok,nok){let sizeOpen=0,size2,token2;return start2;function start2(code2){return effects.enter("codeText"),effects.enter("codeTextSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===96?(effects.consume( -code2),sizeOpen++,sequenceOpen):(effects.exit("codeTextSequence"),between2(code2))}function between2(code2){return code2===null?nok(code2):code2===32?(effects.enter("space"),effects.consume(code2),effects.exit("space"),between2):code2===96?(token2=effects.enter("codeTextSequence"),size2=0,sequenceClose(code2)):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),between2):(effects.enter("codeTextData"),data(code2))}function data(code2){return code2=== -null||code2===32||code2===96||markdownLineEnding(code2)?(effects.exit("codeTextData"),between2(code2)):(effects.consume(code2),data)}function sequenceClose(code2){return code2===96?(effects.consume(code2),size2++,sequenceClose):size2===sizeOpen?(effects.exit("codeTextSequence"),effects.exit("codeText"),ok(code2)):(token2.type="codeTextData",data(code2))}}class SpliceBuffer{constructor(initial){this.left=initial?[...initial]:[],this.right=[]}get(index2){if(index2<0||index2>=this.left.length+this. -right.length)throw new RangeError("Cannot access index `"+index2+"` in a splice buffer of size `"+(this.left.length+this.right.length)+"`");return index2this.left.length?this.right. -slice(this.right.length-stop+this.left.length,this.right.length-start2+this.left.length).reverse():this.left.slice(start2).concat(this.right.slice(this.right.length-stop+this.left.length).reverse())}splice(start2,deleteCount,items2){const count=deleteCount||0;this.setCursor(Math.trunc(start2));const removed=this.right.splice(this.right.length-count,Number.POSITIVE_INFINITY);return items2&&chunkedPush(this.left,items2),removed.reverse()}pop(){return this.setCursor(Number.POSITIVE_INFINITY),this.left. -pop()}push(item){this.setCursor(Number.POSITIVE_INFINITY),this.left.push(item)}pushMany(items2){this.setCursor(Number.POSITIVE_INFINITY),chunkedPush(this.left,items2)}unshift(item){this.setCursor(0),this.right.push(item)}unshiftMany(items2){this.setCursor(0),chunkedPush(this.right,items2.reverse())}setCursor(n){if(!(n===this.left.length||n>this.left.length&&this.right.length===0||n<0&&this.left.length===0))if(n=4?ok(code2):effects.interrupt(self2.parser.constructs.flow,nok,ok)(code2)}}function factoryDestination(effects,ok,nok,type2,literalType,literalMarkerType,rawType,stringType,max2){const limit2=max2||Number.POSITIVE_INFINITY;let balance=0;return start2;function start2(code2){return code2===60?(effects.enter(type2),effects.enter(literalType), -effects.enter(literalMarkerType),effects.consume(code2),effects.exit(literalMarkerType),enclosedBefore):code2===null||code2===32||code2===41||asciiControl(code2)?nok(code2):(effects.enter(type2),effects.enter(rawType),effects.enter(stringType),effects.enter("chunkString",{contentType:"string"}),raw2(code2))}function enclosedBefore(code2){return code2===62?(effects.enter(literalMarkerType),effects.consume(code2),effects.exit(literalMarkerType),effects.exit(literalType),effects.exit(type2),ok):(effects. -enter(stringType),effects.enter("chunkString",{contentType:"string"}),enclosed(code2))}function enclosed(code2){return code2===62?(effects.exit("chunkString"),effects.exit(stringType),enclosedBefore(code2)):code2===null||code2===60||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),code2===92?enclosedEscape:enclosed)}function enclosedEscape(code2){return code2===60||code2===62||code2===92?(effects.consume(code2),enclosed):enclosed(code2)}function raw2(code2){return!balance&&(code2===null|| -code2===41||markdownLineEndingOrSpace(code2))?(effects.exit("chunkString"),effects.exit(stringType),effects.exit(rawType),effects.exit(type2),ok(code2)):balance999||code2===null||code2===91||code2===93&&!seen2||code2===94&&!size2&&"_hiddenFootnoteSupport"in self2.parser.constructs?nok(code2):code2===93?(effects.exit(stringType),effects.enter(markerType), -effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),atBreak):(effects.enter("chunkString",{contentType:"string"}),labelInside(code2))}function labelInside(code2){return code2===null||code2===91||code2===93||markdownLineEnding(code2)||size2++>999?(effects.exit("chunkString"),atBreak(code2)):(effects.consume(code2),seen2||(seen2=!markdownSpace(code2)),code2===92?labelEscape: -labelInside)}function labelEscape(code2){return code2===91||code2===92||code2===93?(effects.consume(code2),size2++,labelInside):labelInside(code2)}}function factoryTitle(effects,ok,nok,type2,markerType,stringType){let marker;return start2;function start2(code2){return code2===34||code2===39||code2===40?(effects.enter(type2),effects.enter(markerType),effects.consume(code2),effects.exit(markerType),marker=code2===40?41:code2,begin):nok(code2)}function begin(code2){return code2===marker?(effects.enter( -markerType),effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):(effects.enter(stringType),atBreak(code2))}function atBreak(code2){return code2===marker?(effects.exit(stringType),begin(marker)):code2===null?nok(code2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,atBreak,"linePrefix")):(effects.enter("chunkString",{contentType:"string"}),inside(code2))}function inside(code2){return code2===marker|| -code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),atBreak(code2)):(effects.consume(code2),code2===92?escape2:inside)}function escape2(code2){return code2===marker||code2===92?(effects.consume(code2),inside):inside(code2)}}function factoryWhitespace(effects,ok){let seen2;return start2;function start2(code2){return markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),seen2=!0,start2):markdownSpace(code2)?factorySpace(effects,start2, -seen2?"linePrefix":"lineSuffix")(code2):ok(code2)}}const definition$1={name:"definition",tokenize:tokenizeDefinition},titleBefore={partial:!0,tokenize:tokenizeTitleBefore};function tokenizeDefinition(effects,ok,nok){const self2=this;let identifier2;return start2;function start2(code2){return effects.enter("definition"),before(code2)}function before(code2){return factoryLabel.call(self2,effects,labelAfter,nok,"definitionLabel","definitionLabelMarker","definitionLabelString")(code2)}function labelAfter(code2){ -return identifier2=normalizeIdentifier(self2.sliceSerialize(self2.events[self2.events.length-1][1]).slice(1,-1)),code2===58?(effects.enter("definitionMarker"),effects.consume(code2),effects.exit("definitionMarker"),markerAfter):nok(code2)}function markerAfter(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,destinationBefore)(code2):destinationBefore(code2)}function destinationBefore(code2){return factoryDestination(effects,destinationAfter,nok,"definitionDestination","de\ -finitionDestinationLiteral","definitionDestinationLiteralMarker","definitionDestinationRaw","definitionDestinationString")(code2)}function destinationAfter(code2){return effects.attempt(titleBefore,after,after)(code2)}function after(code2){return markdownSpace(code2)?factorySpace(effects,afterWhitespace,"whitespace")(code2):afterWhitespace(code2)}function afterWhitespace(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("definition"),self2.parser.defined.push(identifier2),ok(code2)): -nok(code2)}}function tokenizeTitleBefore(effects,ok,nok){return titleBefore2;function titleBefore2(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,beforeMarker)(code2):nok(code2)}function beforeMarker(code2){return factoryTitle(effects,titleAfter,nok,"definitionTitle","definitionTitleMarker","definitionTitleString")(code2)}function titleAfter(code2){return markdownSpace(code2)?factorySpace(effects,titleAfterOptionalWhitespace,"whitespace")(code2):titleAfterOptionalWhitespace( -code2)}function titleAfterOptionalWhitespace(code2){return code2===null||markdownLineEnding(code2)?ok(code2):nok(code2)}}const hardBreakEscape={name:"hardBreakEscape",tokenize:tokenizeHardBreakEscape};function tokenizeHardBreakEscape(effects,ok,nok){return start2;function start2(code2){return effects.enter("hardBreakEscape"),effects.consume(code2),after}function after(code2){return markdownLineEnding(code2)?(effects.exit("hardBreakEscape"),ok(code2)):nok(code2)}}const headingAtx={name:"headingAt\ -x",resolve:resolveHeadingAtx,tokenize:tokenizeHeadingAtx};function resolveHeadingAtx(events,context){let contentEnd=events.length-2,contentStart=3,content2,text2;return events[contentStart][1].type==="whitespace"&&(contentStart+=2),contentEnd-2>contentStart&&events[contentEnd][1].type==="whitespace"&&(contentEnd-=2),events[contentEnd][1].type==="atxHeadingSequence"&&(contentStart===contentEnd-1||contentEnd-4>contentStart&&events[contentEnd-2][1].type==="whitespace")&&(contentEnd-=contentStart+1=== -contentEnd?2:4),contentEnd>contentStart&&(content2={type:"atxHeadingText",start:events[contentStart][1].start,end:events[contentEnd][1].end},text2={type:"chunkText",start:events[contentStart][1].start,end:events[contentEnd][1].end,contentType:"text"},splice(events,contentStart,contentEnd-contentStart+1,[["enter",content2,context],["enter",text2,context],["exit",text2,context],["exit",content2,context]])),events}function tokenizeHeadingAtx(effects,ok,nok){let size2=0;return start2;function start2(code2){ -return effects.enter("atxHeading"),before(code2)}function before(code2){return effects.enter("atxHeadingSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===35&&size2++<6?(effects.consume(code2),sequenceOpen):code2===null||markdownLineEndingOrSpace(code2)?(effects.exit("atxHeadingSequence"),atBreak(code2)):nok(code2)}function atBreak(code2){return code2===35?(effects.enter("atxHeadingSequence"),sequenceFurther(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("a\ -txHeading"),ok(code2)):markdownSpace(code2)?factorySpace(effects,atBreak,"whitespace")(code2):(effects.enter("atxHeadingText"),data(code2))}function sequenceFurther(code2){return code2===35?(effects.consume(code2),sequenceFurther):(effects.exit("atxHeadingSequence"),atBreak(code2))}function data(code2){return code2===null||code2===35||markdownLineEndingOrSpace(code2)?(effects.exit("atxHeadingText"),atBreak(code2)):(effects.consume(code2),data)}}const htmlBlockNames=["address","article","aside","\ -base","basefont","blockquote","body","caption","center","col","colgroup","dd","details","dialog","dir","div","dl","dt","fieldset","figcaption","figure","footer","form","frame","frameset","h1","h2","h3","h4","h5","h6","head","header","hr","html","iframe","legend","li","link","main","menu","menuitem","nav","noframes","ol","optgroup","option","p","param","search","section","summary","table","tbody","td","tfoot","th","thead","title","tr","track","ul"],htmlRawNames=["pre","script","style","textarea"], -htmlFlow={concrete:!0,name:"htmlFlow",resolveTo:resolveToHtmlFlow,tokenize:tokenizeHtmlFlow},blankLineBefore={partial:!0,tokenize:tokenizeBlankLineBefore},nonLazyContinuationStart={partial:!0,tokenize:tokenizeNonLazyContinuationStart};function resolveToHtmlFlow(events){let index2=events.length;for(;index2--&&!(events[index2][0]==="enter"&&events[index2][1].type==="htmlFlow"););return index2>1&&events[index2-2][1].type==="linePrefix"&&(events[index2][1].start=events[index2-2][1].start,events[index2+ -1][1].start=events[index2-2][1].start,events.splice(index2-2,2)),events}function tokenizeHtmlFlow(effects,ok,nok){const self2=this;let marker,closingTag,buffer,index2,markerB;return start2;function start2(code2){return before(code2)}function before(code2){return effects.enter("htmlFlow"),effects.enter("htmlFlowData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects.consume(code2),declarationOpen):code2===47?(effects.consume(code2),closingTag=!0,tagCloseStart):code2=== -63?(effects.consume(code2),marker=3,self2.interrupt?ok:continuationDeclarationInside):asciiAlpha(code2)?(effects.consume(code2),buffer=String.fromCharCode(code2),tagName):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),marker=2,commentOpenInside):code2===91?(effects.consume(code2),marker=5,index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2),marker=4,self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function commentOpenInside(code2){ -return code2===45?(effects.consume(code2),self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume(code2),index2===value.length?self2.interrupt?ok:continuation:cdataOpenInside):nok(code2)}function tagCloseStart(code2){return asciiAlpha(code2)?(effects.consume(code2),buffer=String.fromCharCode(code2),tagName):nok(code2)}function tagName(code2){if(code2===null||code2===47||code2===62|| -markdownLineEndingOrSpace(code2)){const slash=code2===47,name=buffer.toLowerCase();return!slash&&!closingTag&&htmlRawNames.includes(name)?(marker=1,self2.interrupt?ok(code2):continuation(code2)):htmlBlockNames.includes(buffer.toLowerCase())?(marker=6,slash?(effects.consume(code2),basicSelfClosing):self2.interrupt?ok(code2):continuation(code2)):(marker=7,self2.interrupt&&!self2.parser.lazy[self2.now().line]?nok(code2):closingTag?completeClosingTagAfter(code2):completeAttributeNameBefore(code2))}return code2=== -45||asciiAlphanumeric(code2)?(effects.consume(code2),buffer+=String.fromCharCode(code2),tagName):nok(code2)}function basicSelfClosing(code2){return code2===62?(effects.consume(code2),self2.interrupt?ok:continuation):nok(code2)}function completeClosingTagAfter(code2){return markdownSpace(code2)?(effects.consume(code2),completeClosingTagAfter):completeEnd(code2)}function completeAttributeNameBefore(code2){return code2===47?(effects.consume(code2),completeEnd):code2===58||code2===95||asciiAlpha(code2)? -(effects.consume(code2),completeAttributeName):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameBefore):completeEnd(code2)}function completeAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),completeAttributeName):completeAttributeNameAfter(code2)}function completeAttributeNameAfter(code2){return code2===61?(effects.consume(code2),completeAttributeValueBefore):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameAfter): -completeAttributeNameBefore(code2)}function completeAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2),markerB=code2,completeAttributeValueQuoted):markdownSpace(code2)?(effects.consume(code2),completeAttributeValueBefore):completeAttributeValueUnquoted(code2)}function completeAttributeValueQuoted(code2){return code2===markerB?(effects.consume(code2),markerB=null,completeAttributeValueQuotedAfter): -code2===null||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),completeAttributeValueQuoted)}function completeAttributeValueUnquoted(code2){return code2===null||code2===34||code2===39||code2===47||code2===60||code2===61||code2===62||code2===96||markdownLineEndingOrSpace(code2)?completeAttributeNameAfter(code2):(effects.consume(code2),completeAttributeValueUnquoted)}function completeAttributeValueQuotedAfter(code2){return code2===47||code2===62||markdownSpace(code2)?completeAttributeNameBefore( -code2):nok(code2)}function completeEnd(code2){return code2===62?(effects.consume(code2),completeAfter):nok(code2)}function completeAfter(code2){return code2===null||markdownLineEnding(code2)?continuation(code2):markdownSpace(code2)?(effects.consume(code2),completeAfter):nok(code2)}function continuation(code2){return code2===45&&marker===2?(effects.consume(code2),continuationCommentInside):code2===60&&marker===1?(effects.consume(code2),continuationRawTagOpen):code2===62&&marker===4?(effects.consume( -code2),continuationClose):code2===63&&marker===3?(effects.consume(code2),continuationDeclarationInside):code2===93&&marker===5?(effects.consume(code2),continuationCdataInside):markdownLineEnding(code2)&&(marker===6||marker===7)?(effects.exit("htmlFlowData"),effects.check(blankLineBefore,continuationAfter,continuationStart)(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationStart(code2)):(effects.consume(code2),continuation)}function continuationStart(code2){ -return effects.check(nonLazyContinuationStart,continuationStartNonLazy,continuationAfter)(code2)}function continuationStartNonLazy(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),continuationBefore}function continuationBefore(code2){return code2===null||markdownLineEnding(code2)?continuationStart(code2):(effects.enter("htmlFlowData"),continuation(code2))}function continuationCommentInside(code2){return code2===45?(effects.consume(code2),continuationDeclarationInside): -continuation(code2)}function continuationRawTagOpen(code2){return code2===47?(effects.consume(code2),buffer="",continuationRawEndTag):continuation(code2)}function continuationRawEndTag(code2){if(code2===62){const name=buffer.toLowerCase();return htmlRawNames.includes(name)?(effects.consume(code2),continuationClose):continuation(code2)}return asciiAlpha(code2)&&buffer.length<8?(effects.consume(code2),buffer+=String.fromCharCode(code2),continuationRawEndTag):continuation(code2)}function continuationCdataInside(code2){ -return code2===93?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationDeclarationInside(code2){return code2===62?(effects.consume(code2),continuationClose):code2===45&&marker===2?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationClose(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationAfter(code2)):(effects.consume(code2),continuationClose)}function continuationAfter(code2){ -return effects.exit("htmlFlow"),ok(code2)}}function tokenizeNonLazyContinuationStart(effects,ok,nok){const self2=this;return start2;function start2(code2){return markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),after):nok(code2)}function after(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}function tokenizeBlankLineBefore(effects,ok,nok){return start2;function start2(code2){return effects.enter("lineEnding"),effects. -consume(code2),effects.exit("lineEnding"),effects.attempt(blankLine,ok,nok)}}const htmlText={name:"htmlText",tokenize:tokenizeHtmlText};function tokenizeHtmlText(effects,ok,nok){const self2=this;let marker,index2,returnState;return start2;function start2(code2){return effects.enter("htmlText"),effects.enter("htmlTextData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects.consume(code2),declarationOpen):code2===47?(effects.consume(code2),tagCloseStart):code2===63?(effects. -consume(code2),instruction):asciiAlpha(code2)?(effects.consume(code2),tagOpen):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),commentOpenInside):code2===91?(effects.consume(code2),index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2),declaration):nok(code2)}function commentOpenInside(code2){return code2===45?(effects.consume(code2),commentEnd):nok(code2)}function comment2(code2){return code2===null?nok(code2):code2===45?(effects.consume(code2), -commentClose):markdownLineEnding(code2)?(returnState=comment2,lineEndingBefore(code2)):(effects.consume(code2),comment2)}function commentClose(code2){return code2===45?(effects.consume(code2),commentEnd):comment2(code2)}function commentEnd(code2){return code2===62?end(code2):code2===45?commentClose(code2):comment2(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume(code2),index2===value.length?cdata:cdataOpenInside):nok(code2)}function cdata(code2){ -return code2===null?nok(code2):code2===93?(effects.consume(code2),cdataClose):markdownLineEnding(code2)?(returnState=cdata,lineEndingBefore(code2)):(effects.consume(code2),cdata)}function cdataClose(code2){return code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function cdataEnd(code2){return code2===62?end(code2):code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function declaration(code2){return code2===null||code2===62?end(code2):markdownLineEnding(code2)?(returnState=declaration, -lineEndingBefore(code2)):(effects.consume(code2),declaration)}function instruction(code2){return code2===null?nok(code2):code2===63?(effects.consume(code2),instructionClose):markdownLineEnding(code2)?(returnState=instruction,lineEndingBefore(code2)):(effects.consume(code2),instruction)}function instructionClose(code2){return code2===62?end(code2):instruction(code2)}function tagCloseStart(code2){return asciiAlpha(code2)?(effects.consume(code2),tagClose):nok(code2)}function tagClose(code2){return code2=== -45||asciiAlphanumeric(code2)?(effects.consume(code2),tagClose):tagCloseBetween(code2)}function tagCloseBetween(code2){return markdownLineEnding(code2)?(returnState=tagCloseBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagCloseBetween):end(code2)}function tagOpen(code2){return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpen):code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):nok(code2)}function tagOpenBetween(code2){ -return code2===47?(effects.consume(code2),end):code2===58||code2===95||asciiAlpha(code2)?(effects.consume(code2),tagOpenAttributeName):markdownLineEnding(code2)?(returnState=tagOpenBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenBetween):end(code2)}function tagOpenAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpenAttributeName):tagOpenAttributeNameAfter(code2)}function tagOpenAttributeNameAfter(code2){ -return code2===61?(effects.consume(code2),tagOpenAttributeValueBefore):markdownLineEnding(code2)?(returnState=tagOpenAttributeNameAfter,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeNameAfter):tagOpenBetween(code2)}function tagOpenAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2),marker=code2,tagOpenAttributeValueQuoted):markdownLineEnding(code2)?(returnState= -tagOpenAttributeValueBefore,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeValueBefore):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuoted(code2){return code2===marker?(effects.consume(code2),marker=void 0,tagOpenAttributeValueQuotedAfter):code2===null?nok(code2):markdownLineEnding(code2)?(returnState=tagOpenAttributeValueQuoted,lineEndingBefore(code2)):(effects.consume(code2),tagOpenAttributeValueQuoted)}function tagOpenAttributeValueUnquoted(code2){ -return code2===null||code2===34||code2===39||code2===60||code2===61||code2===96?nok(code2):code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuotedAfter(code2){return code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):nok(code2)}function end(code2){return code2===62?(effects.consume(code2),effects.exit("htmlTextData"),effects.exit("htmlText"),ok):nok(code2)} -function lineEndingBefore(code2){return effects.exit("htmlTextData"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineEndingAfter}function lineEndingAfter(code2){return markdownSpace(code2)?factorySpace(effects,lineEndingAfterPrefix,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):lineEndingAfterPrefix(code2)}function lineEndingAfterPrefix(code2){return effects.enter("htmlTextData"),returnState(code2)}}const labelEnd={name:"\ -labelEnd",resolveAll:resolveAllLabelEnd,resolveTo:resolveToLabelEnd,tokenize:tokenizeLabelEnd},resourceConstruct={tokenize:tokenizeResource},referenceFullConstruct={tokenize:tokenizeReferenceFull},referenceCollapsedConstruct={tokenize:tokenizeReferenceCollapsed};function resolveAllLabelEnd(events){let index2=-1;const newEvents=[];for(;++index2=3&&(code2===null||markdownLineEnding(code2))?(effects.exit("thematicBreak"),ok(code2)):nok(code2)}function sequence(code2){return code2===marker?(effects.consume(code2),size2++,sequence):(effects.exit("thematicBreakSequence"),markdownSpace(code2)?factorySpace(effects,atBreak,"whi\ -tespace")(code2):atBreak(code2))}}const list$3={continuation:{tokenize:tokenizeListContinuation},exit:tokenizeListEnd,name:"list",tokenize:tokenizeListStart},listItemPrefixWhitespaceConstruct={partial:!0,tokenize:tokenizeListItemPrefixWhitespace},indentConstruct={partial:!0,tokenize:tokenizeIndent$1};function tokenizeListStart(effects,ok,nok){const self2=this,tail=self2.events[self2.events.length-1];let initialSize=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],!0).length:0,size2=0; -return start2;function start2(code2){const kind=self2.containerState.type||(code2===42||code2===43||code2===45?"listUnordered":"listOrdered");if(kind==="listUnordered"?!self2.containerState.marker||code2===self2.containerState.marker:asciiDigit(code2)){if(self2.containerState.type||(self2.containerState.type=kind,effects.enter(kind,{_container:!0})),kind==="listUnordered")return effects.enter("listItemPrefix"),code2===42||code2===45?effects.check(thematicBreak$2,nok,atMarker)(code2):atMarker(code2); -if(!self2.interrupt||code2===49)return effects.enter("listItemPrefix"),effects.enter("listItemValue"),inside(code2)}return nok(code2)}function inside(code2){return asciiDigit(code2)&&++size2<10?(effects.consume(code2),inside):(!self2.interrupt||size2<2)&&(self2.containerState.marker?code2===self2.containerState.marker:code2===41||code2===46)?(effects.exit("listItemValue"),atMarker(code2)):nok(code2)}function atMarker(code2){return effects.enter("listItemMarker"),effects.consume(code2),effects.exit( -"listItemMarker"),self2.containerState.marker=self2.containerState.marker||code2,effects.check(blankLine,self2.interrupt?nok:onBlank,effects.attempt(listItemPrefixWhitespaceConstruct,endOfPrefix,otherPrefix))}function onBlank(code2){return self2.containerState.initialBlankLine=!0,initialSize++,endOfPrefix(code2)}function otherPrefix(code2){return markdownSpace(code2)?(effects.enter("listItemPrefixWhitespace"),effects.consume(code2),effects.exit("listItemPrefixWhitespace"),endOfPrefix):nok(code2)} -function endOfPrefix(code2){return self2.containerState.size=initialSize+self2.sliceSerialize(effects.exit("listItemPrefix"),!0).length,ok(code2)}}function tokenizeListContinuation(effects,ok,nok){const self2=this;return self2.containerState._closeFlow=void 0,effects.check(blankLine,onBlank,notBlank);function onBlank(code2){return self2.containerState.furtherBlankLines=self2.containerState.furtherBlankLines||self2.containerState.initialBlankLine,factorySpace(effects,ok,"listItemIndent",self2.containerState. -size+1)(code2)}function notBlank(code2){return self2.containerState.furtherBlankLines||!markdownSpace(code2)?(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,notInCurrentItem(code2)):(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,effects.attempt(indentConstruct,ok,notInCurrentItem)(code2))}function notInCurrentItem(code2){return self2.containerState._closeFlow=!0,self2.interrupt=void 0,factorySpace(effects,effects. -attempt(list$3,ok,nok),"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2)}}function tokenizeIndent$1(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemIndent",self2.containerState.size+1);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="listItemIndent"&&tail[2].sliceSerialize(tail[1],!0).length===self2.containerState.size?ok(code2):nok(code2)}}function tokenizeListEnd(effects){ -effects.exit(this.containerState.type)}function tokenizeListItemPrefixWhitespace(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemPrefixWhitespace",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:5);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return!markdownSpace(code2)&&tail&&tail[1].type==="listItemPrefixWhitespace"?ok(code2):nok(code2)}}const setextUnderline={name:"setextUnderline",resolveTo:resolveToSetextUnderline, -tokenize:tokenizeSetextUnderline};function resolveToSetextUnderline(events,context){let index2=events.length,content2,text2,definition2;for(;index2--;)if(events[index2][0]==="enter"){if(events[index2][1].type==="content"){content2=index2;break}events[index2][1].type==="paragraph"&&(text2=index2)}else events[index2][1].type==="content"&&events.splice(index2,1),!definition2&&events[index2][1].type==="definition"&&(definition2=index2);const heading2={type:"setextHeading",start:{...events[content2][1]. -start},end:{...events[events.length-1][1].end}};return events[text2][1].type="setextHeadingText",definition2?(events.splice(text2,0,["enter",heading2,context]),events.splice(definition2+1,0,["exit",events[content2][1],context]),events[content2][1].end={...events[definition2][1].end}):events[content2][1]=heading2,events.push(["exit",heading2,context]),events}function tokenizeSetextUnderline(effects,ok,nok){const self2=this;let marker;return start2;function start2(code2){let index2=self2.events.length, -paragraph2;for(;index2--;)if(self2.events[index2][1].type!=="lineEnding"&&self2.events[index2][1].type!=="linePrefix"&&self2.events[index2][1].type!=="content"){paragraph2=self2.events[index2][1].type==="paragraph";break}return!self2.parser.lazy[self2.now().line]&&(self2.interrupt||paragraph2)?(effects.enter("setextHeadingLine"),marker=code2,before(code2)):nok(code2)}function before(code2){return effects.enter("setextHeadingLineSequence"),inside(code2)}function inside(code2){return code2===marker? -(effects.consume(code2),inside):(effects.exit("setextHeadingLineSequence"),markdownSpace(code2)?factorySpace(effects,after,"lineSuffix")(code2):after(code2))}function after(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("setextHeadingLine"),ok(code2)):nok(code2)}}const flow$1={tokenize:initializeFlow};function initializeFlow(effects){const self2=this,initial=effects.attempt(blankLine,atBlankEnding,effects.attempt(this.parser.constructs.flowInitial,afterConstruct,factorySpace( -effects,effects.attempt(this.parser.constructs.flow,afterConstruct,effects.attempt(content,afterConstruct)),"linePrefix")));return initial;function atBlankEnding(code2){if(code2===null){effects.consume(code2);return}return effects.enter("lineEndingBlank"),effects.consume(code2),effects.exit("lineEndingBlank"),self2.currentConstruct=void 0,initial}function afterConstruct(code2){if(code2===null){effects.consume(code2);return}return effects.enter("lineEnding"),effects.consume(code2),effects.exit("l\ -ineEnding"),self2.currentConstruct=void 0,initial}}const resolver={resolveAll:createResolver()},string$1=initializeFactory("string"),text$7=initializeFactory("text");function initializeFactory(field){return{resolveAll:createResolver(field==="text"?resolveAllLineSuffixes:void 0),tokenize:initializeText};function initializeText(effects){const self2=this,constructs2=this.parser.constructs[field],text2=effects.attempt(constructs2,start2,notText);return start2;function start2(code2){return atBreak(code2)? -text2(code2):notText(code2)}function notText(code2){if(code2===null){effects.consume(code2);return}return effects.enter("data"),effects.consume(code2),data}function data(code2){return atBreak(code2)?(effects.exit("data"),text2(code2)):(effects.consume(code2),data)}function atBreak(code2){if(code2===null)return!0;const list2=constructs2[code2];let index2=-1;if(list2)for(;++index2-1){const head2=view[0];typeof head2=="string"?view[0]=head2.slice(startBufferIndex):view.shift()}endBufferIndex>0&&view.push(chunks[endIndex].slice(0,endBufferIndex))}return view}function serializeChunks(chunks,expandTabs){let index2=-1;const result=[];let atTab;for(;++index2{get$3(disableAutoScroll)||autoScroll.enable()});function handleMessagesReady(){get$3(disableAutoScroll)||requestAnimationFrame(()=>{autoScroll.scrollToBottom("instant")})}onMount$1(()=>{autoScroll.startObserving(),get$3(disableAutoScroll)||autoScroll.enable();const pendingDraft=chatStore.consumePendingDraft();pendingDraft&&(set$1(initialMessage,pendingDraft.message,!0),set$1(uploadedFiles,pendingDraft.files, +!0))}),user_effect(()=>{autoScroll.setContainer(get$3(chatScrollContainer))}),user_effect(()=>{autoScroll.setDisabled(get$3(disableAutoScroll))});var fragment=root$$();event("keydown",$window,handleKeydown);var node2=first_child(fragment);{var consequent=$$anchor2=>{ChatScreenDragOverlay($$anchor2)};if_block(node2,$$render=>{get$3(isDragOver)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{ServerLoadingSplash($$anchor2,{})},alternate=$$anchor2=>{var div=root_3$D(), +div_1=child(div),node_2=child(div_1);{var consequent_2=$$anchor3=>{{let $0=user_derived(activeMessages);ChatMessages($$anchor3,{get messages(){return get$3($0)},onUserAction:()=>{autoScroll.enable(),autoScroll.scrollToBottom()},onMessagesReady:handleMessagesReady})}};if_block(node_2,$$render=>{get$3(isEmpty)||$$render(consequent_2)})}var div_2=sibling(node_2,2),node_3=child(div_2);{var consequent_3=$$anchor3=>{var div_3=root_5$i(),p2=sibling(child(div_3),2),text2=child(p2);reset(p2),reset(div_3), +action(div_3,($$node,$$action_arg)=>fadeInView?.($$node,$$action_arg),()=>({duration:300})),template_effect(()=>set_text(text2,`${serverStore.props?.modalities?.audio?"Record audio, type a message ":"Type a message"} or upload files to get started`)),append($$anchor3,div_3)};if_block(node_3,$$render=>{get$3(isEmpty)&&$$render(consequent_3)})}var node_4=sibling(node_3,2);{var consequent_4=$$anchor3=>{ChatScreenProcessingInfo($$anchor3,{})};if_block(node_4,$$render=>{page$1.params.id&&$$render(consequent_4)})} +var node_5=sibling(node_4,2);{var consequent_5=$$anchor3=>{var div_4=root_7$h(),node_6=child(div_4);component(node_6,()=>Alert,($$anchor4,Alert_Root)=>{Alert_Root($$anchor4,{variant:"destructive",children:($$anchor5,$$slotProps)=>{var fragment_5=root_8$j(),node_7=first_child(fragment_5);Triangle_alert(node_7,{class:"h-4 w-4"});var node_8=sibling(node_7,2);component(node_8,()=>Alert_title,($$anchor6,Alert_Title)=>{Alert_Title($$anchor6,{class:"flex items-center justify-between",children:($$anchor7,$$slotProps2)=>{ +var fragment_6=root_9$d(),button=sibling(first_child(fragment_6),2),node_9=child(button);{let $0=user_derived(()=>get$3(isServerLoading)?"animate-spin":"");Refresh_cw(node_9,{get class(){return`h-3 w-3 ${get$3($0)??""}`}})}var text_1=sibling(node_9);reset(button),template_effect(()=>{button.disabled=get$3(isServerLoading),set_text(text_1,` ${get$3(isServerLoading)?"Retrying...":"Retry"}`)}),delegated("click",button,()=>serverStore.fetch()),append($$anchor7,fragment_6)},$$slots:{default:!0}})});var node_10=sibling( +node_8,2);component(node_10,()=>Alert_description,($$anchor6,Alert_Description)=>{Alert_Description($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text_2=text$8();template_effect($0=>set_text(text_2,$0),[()=>serverError()]),append($$anchor7,text_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_5)},$$slots:{default:!0}})}),reset(div_4),action(div_4,($$node,$$action_arg)=>fadeInView?.($$node,$$action_arg),()=>({y:10,duration:250})),append($$anchor3,div_4)};if_block(node_5,$$render=>{ +get$3(hasPropsError)&&$$render(consequent_5)})}var div_5=sibling(node_5,2),node_11=child(div_5);{let $0=user_derived(()=>get$3(hasPropsError)||isEditing());ChatScreenForm(node_11,{get disabled(){return get$3($0)},get initialMessage(){return get$3(initialMessage)},get isLoading(){return get$3(isCurrentConversationLoading)},onFileRemove:handleFileRemove,onFileUpload:handleFileUpload,onSend:handleSendMessage,onStop:()=>chatStore.stopGeneration(),onSystemPromptAdd:handleSystemPromptAdd,get uploadedFiles(){ +return get$3(uploadedFiles)},set uploadedFiles($$value){set$1(uploadedFiles,$$value,!0)}})}reset(div_5),reset(div_2),reset(div_1),reset(div),bind_this(div,$$value=>set$1(chatScrollContainer,$$value),()=>get$3(chatScrollContainer)),template_effect(()=>set_class(div_2,1,`pointer-events-none ${get$3(isEmpty)?"absolute bottom-[calc(50dvh-7rem)]":"sticky bottom-4"} right-4 left-4 mt-auto pt-16 transition-all duration-200`)),event("dragenter",div,handleDragEnter),event("dragleave",div,handleDragLeave), +event("dragover",div,handleDragOver),event("drop",div,handleDrop),event("scroll",div,handleScroll),append($$anchor2,div)};if_block(node_1,$$render=>{get$3(isServerLoading)?$$render(consequent_1):$$render(alternate,-1)})}var node_12=sibling(node_1,2);DialogFileUploadError(node_12,{get fileErrorData(){return get$3(fileErrorData)},get open(){return get$3(showFileErrorDialog)},set open($$value){set$1(showFileErrorDialog,$$value,!0)}});var node_13=sibling(node_12,2);DialogConfirmation(node_13,{title:"\ +Delete Conversation",description:"Are you sure you want to delete this conversation? This action cannot be undone and will permanently remove all messages in this conversation.",confirmText:"Delete",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleDeleteConfirm,onCancel:()=>set$1(showDeleteDialog,!1),get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}});var node_14=sibling(node_13,2);DialogEmptyFileAlert(node_14,{get emptyFiles(){ +return get$3(emptyFileNames)},onOpenChange:open2=>{open2||set$1(emptyFileNames,[],!0)},get open(){return get$3(showEmptyFileDialog)},set open($$value){set$1(showEmptyFileDialog,$$value,!0)}});var node_15=sibling(node_14,2);{let $0=user_derived(()=>get$3(activeErrorDialog)?.message??""),$1=user_derived(()=>get$3(activeErrorDialog)?.contextInfo),$2=user_derived(()=>!!get$3(activeErrorDialog)),$3=user_derived(()=>get$3(activeErrorDialog)?.type??ErrorDialogType.SERVER);DialogChatError(node_15,{get message(){ +return get$3($0)},get contextInfo(){return get$3($1)},onOpenChange:handleErrorDialogOpenChange,get open(){return get$3($2)},get type(){return get$3($3)}})}append($$anchor,fragment),pop()}delegate(["click"]);var root$_=from_html('

          Attach a file

          Drop your files here to upload

          ');function ChatScreenDragOverlay($$anchor){var div=root$_(),div_1=child(div),node2=child(div_1);Upload(node2,{class:"mb-4 h-12 w-12 text-muted-foreground"}),next$1(4),reset(div_1),reset(div),append($$anchor,div)}class DraftMessagesStore{drafts=new Map;getDraftMessage(chatId){const key2=chatId??NEW_CHAT_DRAFT_KEY;return this.drafts.get(key2)??{message:"",files:[]}}saveDraftMessage(chatId,message,files){ +const key2=chatId??NEW_CHAT_DRAFT_KEY;message||files.length>0?this.drafts.set(key2,{message,files:[...files]}):this.drafts.delete(key2)}clearDraftMessage(chatId){const key2=chatId??NEW_CHAT_DRAFT_KEY;this.drafts.delete(key2)}}const draftMessagesStore=new DraftMessagesStore;function useDraftMessages(options){onMount$1(()=>{const chatId=options.getChatId(),draft=draftMessagesStore.getDraftMessage(chatId);(draft.message||draft.files.length>0)&&!options.getInitialMessage()&&(options.setMessage(draft. +message),options.setFiles(draft.files))}),beforeNavigate(()=>{const chatId=options.getChatId();draftMessagesStore.saveDraftMessage(chatId,options.getMessage(),options.getFiles())}),afterNavigate(navigation=>{if(navigation?.from!=null){const chatId=options.getChatId(),draft=draftMessagesStore.getDraftMessage(chatId);options.setMessage(draft.message),options.setFiles(draft.files)}});function clearDraft(){const chatId=options.getChatId();draftMessagesStore.clearDraftMessage(chatId)}return{clearDraft}} +var root$Z=from_html('
          ');function ChatScreenForm($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),initialMessage=prop($$props,"initialMessage",3,""),isLoading2=prop($$props,"isLoading",3,!1),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy([])),chatFormRef=state$1(void 0),chatId=user_derived(()=>page$1.params.id),hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading)),message=user_derived( +initialMessage),previousIsLoading=user_derived(isLoading2),previousInitialMessage=user_derived(initialMessage);const{clearDraft}=useDraftMessages({getChatId:()=>get$3(chatId),getMessage:()=>get$3(message),getFiles:()=>uploadedFiles(),setMessage:m=>set$1(message,m),setFiles:f=>uploadedFiles(f),getInitialMessage:()=>initialMessage()});function handleFilesAdd(files){$$props.onFileUpload?.(files)}async function handleSubmit(){if(!get$3(message).trim()&&uploadedFiles().length===0||disabled()||get$3(hasLoadingAttachments)|| +!get$3(chatFormRef)?.checkModelSelected())return;const messageToSend=get$3(message).trim(),filesToSend=[...uploadedFiles()];set$1(message,""),uploadedFiles([]),clearDraft(),get$3(chatFormRef)?.resetTextareaHeight(),await $$props.onSend?.(messageToSend,filesToSend)||(set$1(message,messageToSend),uploadedFiles(filesToSend))}function handleSystemPromptClick(){$$props.onSystemPromptAdd?.({message:get$3(message),files:uploadedFiles()})}function handleUploadedFileRemove(fileId){$$props.onFileRemove?.( +fileId)}onMount$1(()=>{setTimeout(()=>get$3(chatFormRef)?.focus(),10)}),afterNavigate(navigation=>{navigation?.from!=null&&setTimeout(()=>get$3(chatFormRef)?.focus(),10)}),user_effect(()=>{initialMessage()!==get$3(previousInitialMessage)&&(set$1(message,initialMessage()),set$1(previousInitialMessage,initialMessage()))}),user_effect(()=>{get$3(previousIsLoading)&&!isLoading2()&&setTimeout(()=>get$3(chatFormRef)?.focus(),10),set$1(previousIsLoading,isLoading2())});var div=root$Z(),node2=child(div); +bind_this(ChatForm(node2,{get class(){return $$props.class},get disabled(){return disabled()},get isLoading(){return isLoading2()},showMcpPromptButton:!0,onFilesAdd:handleFilesAdd,get onStop(){return $$props.onStop},onSubmit:handleSubmit,onSystemPromptClick:handleSystemPromptClick,onUploadedFileRemove:handleUploadedFileRemove,get value(){return get$3(message)},set value($$value){set$1(message,$$value)},get uploadedFiles(){return uploadedFiles()},set uploadedFiles($$value){uploadedFiles($$value)}}), +$$value=>set$1(chatFormRef,$$value,!0),()=>get$3(chatFormRef)),reset(div),append($$anchor,div),pop()}var root_1$u=from_html(' '),root$Y=from_html('
          ');function ChatScreenProcessingInfo($$anchor,$$props){push$1($$props,!0);const processingState=useProcessingState(),processingInfoCtx=getProcessingInfoContext();let showProcessingInfo=user_derived( +()=>processingInfoCtx.showProcessingInfo),isCurrentConversationLoading=user_derived(isLoading),isStreaming=user_derived(isChatStreaming),processingDetails=user_derived(()=>processingState.getTechnicalDetails());user_effect(()=>{const conversation=activeConversation();untrack$1(()=>chatStore.setActiveProcessingConversation(conversation?.id??null))}),user_effect(()=>{const keepStatsVisible=config$1().keepStatsVisible;if((keepStatsVisible||get$3(isCurrentConversationLoading)||get$3(isStreaming))&&processingState. +startMonitoring(),!get$3(isCurrentConversationLoading)&&!get$3(isStreaming)&&!keepStatsVisible){const timeout=setTimeout(()=>{!config$1().keepStatsVisible&&!isChatStreaming()&&processingState.stopMonitoring()},PROCESSING_INFO_TIMEOUT);return()=>clearTimeout(timeout)}}),user_effect(()=>{const conversation=activeConversation(),messages=activeMessages();if(config$1().keepStatsVisible&&conversation){if(messages.length===0){untrack$1(()=>chatStore.clearProcessingState(conversation.id));return}!get$3( +isCurrentConversationLoading)&&!get$3(isStreaming)&&untrack$1(()=>chatStore.restoreProcessingStateFromMessages(messages,conversation.id))}});var div=root$Y(),div_1=child(div);each(div_1,20,()=>get$3(processingDetails),detail=>detail,($$anchor2,detail)=>{var span=root_1$u(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,detail)),append($$anchor2,span)}),reset(div_1),reset(div),template_effect(()=>set_class(div,1,clsx(["chat-processing-info-container pointer-events-none",get$3( +showProcessingInfo)&&"visible"]),"svelte-1ktvj8d")),append($$anchor,div),pop()}const emptyOptions$7={};function toString$1(value,options){const settings=emptyOptions$7,includeImageAlt=typeof settings.includeImageAlt=="boolean"?settings.includeImageAlt:!0,includeHtml=typeof settings.includeHtml=="boolean"?settings.includeHtml:!0;return one$2(value,includeImageAlt,includeHtml)}function one$2(value,includeImageAlt,includeHtml){if(node(value)){if("value"in value)return value.type==="html"&&!includeHtml? +"":value.value;if(includeImageAlt&&"alt"in value&&value.alt)return value.alt;if("children"in value)return all$2(value.children,includeImageAlt,includeHtml)}return Array.isArray(value)?all$2(value,includeImageAlt,includeHtml):""}function all$2(values,includeImageAlt,includeHtml){const result=[];let index2=-1;for(;++index2end?0:end+start2:start2=start2>end?end:start2,remove2=remove2>0?remove2:0,items2. +length<1e4)parameters=Array.from(items2),parameters.unshift(start2,remove2),list2.splice(...parameters);else for(remove2&&list2.splice(start2,remove2);chunkStart0?(splice(list2,list2.length,0,items2),list2):items2}const hasOwnProperty={}.hasOwnProperty;function combineExtensions(extensions){const all2={}; +let index2=-1;for(;++index213&&code2<32||code2>126&&code2<160||code2>55295&&code2<57344||code2>64975&&code2<65008||(code2&65535)===65535||(code2&65535)===65534||code2>1114111?"�":String.fromCodePoint(code2)}function normalizeIdentifier(value){return value.replace( +/[\t\n\r ]+/g," ").replace(/^ | $/g,"").toLowerCase().toUpperCase()}const asciiAlpha=regexCheck(/[A-Za-z]/),asciiAlphanumeric=regexCheck(/[\dA-Za-z]/),asciiAtext=regexCheck(/[#-'*+\--9=?A-Z^-~]/);function asciiControl(code2){return code2!==null&&(code2<32||code2===127)}const asciiDigit=regexCheck(/\d/),asciiHexDigit=regexCheck(/[\dA-Fa-f]/),asciiPunctuation=regexCheck(/[!-/:-@[-`{-~]/);function markdownLineEnding(code2){return code2!==null&&code2<-2}function markdownLineEndingOrSpace(code2){return code2!== +null&&(code2<0||code2===32)}function markdownSpace(code2){return code2===-2||code2===-1||code2===32}const unicodePunctuation=regexCheck(new RegExp("\\p{P}|\\p{S}","u")),unicodeWhitespace=regexCheck(/\s/);function regexCheck(regex){return check;function check(code2){return code2!==null&&code2>-1&®ex.test(String.fromCharCode(code2))}}function normalizeUri(value){const result=[];let index2=-1,start2=0,skip=0;for(;++index255295&&code2<57344){const next2=value.charCodeAt(index2+1);code2<56320&&next2>56319&&next2<57344?(replace2=String.fromCharCode(code2,next2),skip=1):replace2="�"}else replace2=String.fromCharCode(code2);replace2&&(result.push(value.slice(start2,index2),encodeURIComponent( +replace2)),start2=index2+skip+1,replace2=""),skip&&(index2+=skip,skip=0)}return result.join("")+value.slice(start2)}function factorySpace(effects,ok,type2,max2){const limit2=max2?max2-1:Number.POSITIVE_INFINITY;let size2=0;return start2;function start2(code2){return markdownSpace(code2)?(effects.enter(type2),prefix(code2)):ok(code2)}function prefix(code2){return markdownSpace(code2)&&size2++lineStartOffset))return;const indexBeforeExits=self2.events.length;let indexBeforeFlow=indexBeforeExits,seen2,point2;for(;indexBeforeFlow--;)if(self2.events[indexBeforeFlow][0]==="exit"&&self2.events[indexBeforeFlow][1].type==="chunkFlow"){if(seen2){point2=self2.events[indexBeforeFlow][1].end;break}seen2=!0}for(exitContainers(continued),index2=indexBeforeExits;index2size2;){const entry=stack[index2];self2.containerState=entry[1],entry[0].exit.call(self2,effects)}stack.length=size2}function closeFlow(){childFlow.write([null]),childToken=void 0,childFlow=void 0,self2.containerState._closeFlow=void 0}}function tokenizeContainer(effects,ok,nok){return factorySpace(effects,effects.attempt(this.parser.constructs.document,ok,nok),"linePrefix", +this.parser.constructs.disable.null.includes("codeIndented")?void 0:4)}function classifyCharacter(code2){if(code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2))return 1;if(unicodePunctuation(code2))return 2}function resolveAll(constructs2,events,context){const called=[];let index2=-1;for(;++index21&&events[index2][1].end.offset-events[index2][1].start.offset>1?2:1;const start2={...events[open2][1].end},end={ +...events[index2][1].start};movePoint(start2,-use),movePoint(end,use),openingSequence={type:use>1?"strongSequence":"emphasisSequence",start:start2,end:{...events[open2][1].end}},closingSequence={type:use>1?"strongSequence":"emphasisSequence",start:{...events[index2][1].start},end},text2={type:use>1?"strongText":"emphasisText",start:{...events[open2][1].end},end:{...events[index2][1].start}},group={type:use>1?"strong":"emphasis",start:{...openingSequence.start},end:{...closingSequence.end}},events[open2][1]. +end={...openingSequence.start},events[index2][1].start={...closingSequence.end},nextEvents=[],events[open2][1].end.offset-events[open2][1].start.offset&&(nextEvents=push(nextEvents,[["enter",events[open2][1],context],["exit",events[open2][1],context]])),nextEvents=push(nextEvents,[["enter",group,context],["enter",openingSequence,context],["exit",openingSequence,context],["enter",text2,context]]),nextEvents=push(nextEvents,resolveAll(context.parser.constructs.insideSpan.null,events.slice(open2+1, +index2),context)),nextEvents=push(nextEvents,[["exit",text2,context],["enter",closingSequence,context],["exit",closingSequence,context],["exit",group,context]]),events[index2][1].end.offset-events[index2][1].start.offset?(offset2=2,nextEvents=push(nextEvents,[["enter",events[index2][1],context],["exit",events[index2][1],context]])):offset2=0,splice(events,open2-1,index2-open2+3,nextEvents),index2=open2+nextEvents.length-offset2-2;break}}for(index2=-1;++index20&&markdownSpace(code2)?factorySpace(effects,beforeContentChunk,"linePrefix",initialPrefix+1)(code2):beforeContentChunk( +code2)}function beforeContentChunk(code2){return code2===null||markdownLineEnding(code2)?effects.check(nonLazyContinuation$1,atNonLazyBreak,after)(code2):(effects.enter("codeFlowValue"),contentChunk(code2))}function contentChunk(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFlowValue"),beforeContentChunk(code2)):(effects.consume(code2),contentChunk)}function after(code2){return effects.exit("codeFenced"),ok(code2)}function tokenizeCloseStart(effects2,ok2,nok2){let size2=0; +return startBefore;function startBefore(code2){return effects2.enter("lineEnding"),effects2.consume(code2),effects2.exit("lineEnding"),start3}function start3(code2){return effects2.enter("codeFencedFence"),markdownSpace(code2)?factorySpace(effects2,beforeSequenceClose,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):beforeSequenceClose(code2)}function beforeSequenceClose(code2){return code2===marker?(effects2.enter("codeFencedFenceSequence"),sequenceClose( +code2)):nok2(code2)}function sequenceClose(code2){return code2===marker?(size2++,effects2.consume(code2),sequenceClose):size2>=sizeOpen?(effects2.exit("codeFencedFenceSequence"),markdownSpace(code2)?factorySpace(effects2,sequenceCloseAfter,"whitespace")(code2):sequenceCloseAfter(code2)):nok2(code2)}function sequenceCloseAfter(code2){return code2===null||markdownLineEnding(code2)?(effects2.exit("codeFencedFence"),ok2(code2)):nok2(code2)}}}function tokenizeNonLazyContinuation$1(effects,ok,nok){const self2=this; +return start2;function start2(code2){return code2===null?nok(code2):(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineStart)}function lineStart(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}const codeIndented={name:"codeIndented",tokenize:tokenizeCodeIndented},furtherStart={partial:!0,tokenize:tokenizeFurtherStart};function tokenizeCodeIndented(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("co\ +deIndented"),factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?atBreak(code2):nok(code2)}function atBreak(code2){return code2===null?after(code2):markdownLineEnding(code2)?effects.attempt(furtherStart,atBreak,after)(code2):(effects.enter("codeFlowValue"),inside(code2))}function inside(code2){return code2===null||markdownLineEnding( +code2)?(effects.exit("codeFlowValue"),atBreak(code2)):(effects.consume(code2),inside)}function after(code2){return effects.exit("codeIndented"),ok(code2)}}function tokenizeFurtherStart(effects,ok,nok){const self2=this;return furtherStart2;function furtherStart2(code2){return self2.parser.lazy[self2.now().line]?nok(code2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),furtherStart2):factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){ +const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?ok(code2):markdownLineEnding(code2)?furtherStart2(code2):nok(code2)}}const codeText={name:"codeText",previous:previous$2,resolve:resolveCodeText,tokenize:tokenizeCodeText};function resolveCodeText(events){let tailExitIndex=events.length-4,headEnterIndex=3,index2,enter;if((events[headEnterIndex][1].type==="lineEnding"||events[headEnterIndex][1].type==="space")&&(events[tailExitIndex][1]. +type==="lineEnding"||events[tailExitIndex][1].type==="space")){for(index2=headEnterIndex;++index2=this.left.length+this.right.length)throw new RangeError("Cannot access index `"+index2+"` in a splice buffer of size `"+(this.left.length+this.right.length)+"`");return index2this.left.length?this.right.slice(this.right.length-stop+this.left.length,this.right.length-start2+this.left.length).reverse():this.left.slice(start2).concat(this.right.slice(this.right.length-stop+this.left.length).reverse())}splice(start2,deleteCount,items2){const count=deleteCount||0;this.setCursor(Math.trunc(start2));const removed=this.right.splice(this.right.length-count,Number.POSITIVE_INFINITY);return items2&&chunkedPush(this. +left,items2),removed.reverse()}pop(){return this.setCursor(Number.POSITIVE_INFINITY),this.left.pop()}push(item){this.setCursor(Number.POSITIVE_INFINITY),this.left.push(item)}pushMany(items2){this.setCursor(Number.POSITIVE_INFINITY),chunkedPush(this.left,items2)}unshift(item){this.setCursor(0),this.right.push(item)}unshiftMany(items2){this.setCursor(0),chunkedPush(this.right,items2.reverse())}setCursor(n){if(!(n===this.left.length||n>this.left.length&&this.right.length===0||n<0&&this.left.length=== +0))if(n=4?ok(code2):effects.interrupt(self2.parser.constructs.flow,nok,ok)(code2)}}function factoryDestination(effects,ok,nok,type2,literalType,literalMarkerType,rawType,stringType,max2){const limit2=max2||Number.POSITIVE_INFINITY; +let balance=0;return start2;function start2(code2){return code2===60?(effects.enter(type2),effects.enter(literalType),effects.enter(literalMarkerType),effects.consume(code2),effects.exit(literalMarkerType),enclosedBefore):code2===null||code2===32||code2===41||asciiControl(code2)?nok(code2):(effects.enter(type2),effects.enter(rawType),effects.enter(stringType),effects.enter("chunkString",{contentType:"string"}),raw2(code2))}function enclosedBefore(code2){return code2===62?(effects.enter(literalMarkerType), +effects.consume(code2),effects.exit(literalMarkerType),effects.exit(literalType),effects.exit(type2),ok):(effects.enter(stringType),effects.enter("chunkString",{contentType:"string"}),enclosed(code2))}function enclosed(code2){return code2===62?(effects.exit("chunkString"),effects.exit(stringType),enclosedBefore(code2)):code2===null||code2===60||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),code2===92?enclosedEscape:enclosed)}function enclosedEscape(code2){return code2===60||code2=== +62||code2===92?(effects.consume(code2),enclosed):enclosed(code2)}function raw2(code2){return!balance&&(code2===null||code2===41||markdownLineEndingOrSpace(code2))?(effects.exit("chunkString"),effects.exit(stringType),effects.exit(rawType),effects.exit(type2),ok(code2)):balance999||code2===null||code2===91||code2===93&&!seen2||code2===94&&!size2&&"\ +_hiddenFootnoteSupport"in self2.parser.constructs?nok(code2):code2===93?(effects.exit(stringType),effects.enter(markerType),effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),atBreak):(effects.enter("chunkString",{contentType:"string"}),labelInside(code2))}function labelInside(code2){return code2===null||code2===91||code2===93||markdownLineEnding(code2)||size2++>999?(effects. +exit("chunkString"),atBreak(code2)):(effects.consume(code2),seen2||(seen2=!markdownSpace(code2)),code2===92?labelEscape:labelInside)}function labelEscape(code2){return code2===91||code2===92||code2===93?(effects.consume(code2),size2++,labelInside):labelInside(code2)}}function factoryTitle(effects,ok,nok,type2,markerType,stringType){let marker;return start2;function start2(code2){return code2===34||code2===39||code2===40?(effects.enter(type2),effects.enter(markerType),effects.consume(code2),effects. +exit(markerType),marker=code2===40?41:code2,begin):nok(code2)}function begin(code2){return code2===marker?(effects.enter(markerType),effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):(effects.enter(stringType),atBreak(code2))}function atBreak(code2){return code2===marker?(effects.exit(stringType),begin(marker)):code2===null?nok(code2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,atBreak,"linePr\ +efix")):(effects.enter("chunkString",{contentType:"string"}),inside(code2))}function inside(code2){return code2===marker||code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),atBreak(code2)):(effects.consume(code2),code2===92?escape2:inside)}function escape2(code2){return code2===marker||code2===92?(effects.consume(code2),inside):inside(code2)}}function factoryWhitespace(effects,ok){let seen2;return start2;function start2(code2){return markdownLineEnding(code2)?(effects.enter("li\ +neEnding"),effects.consume(code2),effects.exit("lineEnding"),seen2=!0,start2):markdownSpace(code2)?factorySpace(effects,start2,seen2?"linePrefix":"lineSuffix")(code2):ok(code2)}}const definition$1={name:"definition",tokenize:tokenizeDefinition},titleBefore={partial:!0,tokenize:tokenizeTitleBefore};function tokenizeDefinition(effects,ok,nok){const self2=this;let identifier2;return start2;function start2(code2){return effects.enter("definition"),before(code2)}function before(code2){return factoryLabel. +call(self2,effects,labelAfter,nok,"definitionLabel","definitionLabelMarker","definitionLabelString")(code2)}function labelAfter(code2){return identifier2=normalizeIdentifier(self2.sliceSerialize(self2.events[self2.events.length-1][1]).slice(1,-1)),code2===58?(effects.enter("definitionMarker"),effects.consume(code2),effects.exit("definitionMarker"),markerAfter):nok(code2)}function markerAfter(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,destinationBefore)(code2):destinationBefore( +code2)}function destinationBefore(code2){return factoryDestination(effects,destinationAfter,nok,"definitionDestination","definitionDestinationLiteral","definitionDestinationLiteralMarker","definitionDestinationRaw","definitionDestinationString")(code2)}function destinationAfter(code2){return effects.attempt(titleBefore,after,after)(code2)}function after(code2){return markdownSpace(code2)?factorySpace(effects,afterWhitespace,"whitespace")(code2):afterWhitespace(code2)}function afterWhitespace(code2){ +return code2===null||markdownLineEnding(code2)?(effects.exit("definition"),self2.parser.defined.push(identifier2),ok(code2)):nok(code2)}}function tokenizeTitleBefore(effects,ok,nok){return titleBefore2;function titleBefore2(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,beforeMarker)(code2):nok(code2)}function beforeMarker(code2){return factoryTitle(effects,titleAfter,nok,"definitionTitle","definitionTitleMarker","definitionTitleString")(code2)}function titleAfter(code2){ +return markdownSpace(code2)?factorySpace(effects,titleAfterOptionalWhitespace,"whitespace")(code2):titleAfterOptionalWhitespace(code2)}function titleAfterOptionalWhitespace(code2){return code2===null||markdownLineEnding(code2)?ok(code2):nok(code2)}}const hardBreakEscape={name:"hardBreakEscape",tokenize:tokenizeHardBreakEscape};function tokenizeHardBreakEscape(effects,ok,nok){return start2;function start2(code2){return effects.enter("hardBreakEscape"),effects.consume(code2),after}function after(code2){ +return markdownLineEnding(code2)?(effects.exit("hardBreakEscape"),ok(code2)):nok(code2)}}const headingAtx={name:"headingAtx",resolve:resolveHeadingAtx,tokenize:tokenizeHeadingAtx};function resolveHeadingAtx(events,context){let contentEnd=events.length-2,contentStart=3,content2,text2;return events[contentStart][1].type==="whitespace"&&(contentStart+=2),contentEnd-2>contentStart&&events[contentEnd][1].type==="whitespace"&&(contentEnd-=2),events[contentEnd][1].type==="atxHeadingSequence"&&(contentStart=== +contentEnd-1||contentEnd-4>contentStart&&events[contentEnd-2][1].type==="whitespace")&&(contentEnd-=contentStart+1===contentEnd?2:4),contentEnd>contentStart&&(content2={type:"atxHeadingText",start:events[contentStart][1].start,end:events[contentEnd][1].end},text2={type:"chunkText",start:events[contentStart][1].start,end:events[contentEnd][1].end,contentType:"text"},splice(events,contentStart,contentEnd-contentStart+1,[["enter",content2,context],["enter",text2,context],["exit",text2,context],["ex\ +it",content2,context]])),events}function tokenizeHeadingAtx(effects,ok,nok){let size2=0;return start2;function start2(code2){return effects.enter("atxHeading"),before(code2)}function before(code2){return effects.enter("atxHeadingSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===35&&size2++<6?(effects.consume(code2),sequenceOpen):code2===null||markdownLineEndingOrSpace(code2)?(effects.exit("atxHeadingSequence"),atBreak(code2)):nok(code2)}function atBreak(code2){return code2=== +35?(effects.enter("atxHeadingSequence"),sequenceFurther(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("atxHeading"),ok(code2)):markdownSpace(code2)?factorySpace(effects,atBreak,"whitespace")(code2):(effects.enter("atxHeadingText"),data(code2))}function sequenceFurther(code2){return code2===35?(effects.consume(code2),sequenceFurther):(effects.exit("atxHeadingSequence"),atBreak(code2))}function data(code2){return code2===null||code2===35||markdownLineEndingOrSpace(code2)?(effects.exit( +"atxHeadingText"),atBreak(code2)):(effects.consume(code2),data)}}const htmlBlockNames=["address","article","aside","base","basefont","blockquote","body","caption","center","col","colgroup","dd","details","dialog","dir","div","dl","dt","fieldset","figcaption","figure","footer","form","frame","frameset","h1","h2","h3","h4","h5","h6","head","header","hr","html","iframe","legend","li","link","main","menu","menuitem","nav","noframes","ol","optgroup","option","p","param","search","section","summary","\ +table","tbody","td","tfoot","th","thead","title","tr","track","ul"],htmlRawNames=["pre","script","style","textarea"],htmlFlow={concrete:!0,name:"htmlFlow",resolveTo:resolveToHtmlFlow,tokenize:tokenizeHtmlFlow},blankLineBefore={partial:!0,tokenize:tokenizeBlankLineBefore},nonLazyContinuationStart={partial:!0,tokenize:tokenizeNonLazyContinuationStart};function resolveToHtmlFlow(events){let index2=events.length;for(;index2--&&!(events[index2][0]==="enter"&&events[index2][1].type==="htmlFlow"););return index2> +1&&events[index2-2][1].type==="linePrefix"&&(events[index2][1].start=events[index2-2][1].start,events[index2+1][1].start=events[index2-2][1].start,events.splice(index2-2,2)),events}function tokenizeHtmlFlow(effects,ok,nok){const self2=this;let marker,closingTag,buffer,index2,markerB;return start2;function start2(code2){return before(code2)}function before(code2){return effects.enter("htmlFlow"),effects.enter("htmlFlowData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects. +consume(code2),declarationOpen):code2===47?(effects.consume(code2),closingTag=!0,tagCloseStart):code2===63?(effects.consume(code2),marker=3,self2.interrupt?ok:continuationDeclarationInside):asciiAlpha(code2)?(effects.consume(code2),buffer=String.fromCharCode(code2),tagName):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),marker=2,commentOpenInside):code2===91?(effects.consume(code2),marker=5,index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2), +marker=4,self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function commentOpenInside(code2){return code2===45?(effects.consume(code2),self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume(code2),index2===value.length?self2.interrupt?ok:continuation:cdataOpenInside):nok(code2)}function tagCloseStart(code2){return asciiAlpha(code2)?(effects.consume(code2),buffer=String. +fromCharCode(code2),tagName):nok(code2)}function tagName(code2){if(code2===null||code2===47||code2===62||markdownLineEndingOrSpace(code2)){const slash=code2===47,name=buffer.toLowerCase();return!slash&&!closingTag&&htmlRawNames.includes(name)?(marker=1,self2.interrupt?ok(code2):continuation(code2)):htmlBlockNames.includes(buffer.toLowerCase())?(marker=6,slash?(effects.consume(code2),basicSelfClosing):self2.interrupt?ok(code2):continuation(code2)):(marker=7,self2.interrupt&&!self2.parser.lazy[self2. +now().line]?nok(code2):closingTag?completeClosingTagAfter(code2):completeAttributeNameBefore(code2))}return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),buffer+=String.fromCharCode(code2),tagName):nok(code2)}function basicSelfClosing(code2){return code2===62?(effects.consume(code2),self2.interrupt?ok:continuation):nok(code2)}function completeClosingTagAfter(code2){return markdownSpace(code2)?(effects.consume(code2),completeClosingTagAfter):completeEnd(code2)}function completeAttributeNameBefore(code2){ +return code2===47?(effects.consume(code2),completeEnd):code2===58||code2===95||asciiAlpha(code2)?(effects.consume(code2),completeAttributeName):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameBefore):completeEnd(code2)}function completeAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),completeAttributeName):completeAttributeNameAfter(code2)}function completeAttributeNameAfter(code2){return code2===61?(effects. +consume(code2),completeAttributeValueBefore):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameAfter):completeAttributeNameBefore(code2)}function completeAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2),markerB=code2,completeAttributeValueQuoted):markdownSpace(code2)?(effects.consume(code2),completeAttributeValueBefore):completeAttributeValueUnquoted(code2)}function completeAttributeValueQuoted(code2){ +return code2===markerB?(effects.consume(code2),markerB=null,completeAttributeValueQuotedAfter):code2===null||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),completeAttributeValueQuoted)}function completeAttributeValueUnquoted(code2){return code2===null||code2===34||code2===39||code2===47||code2===60||code2===61||code2===62||code2===96||markdownLineEndingOrSpace(code2)?completeAttributeNameAfter(code2):(effects.consume(code2),completeAttributeValueUnquoted)}function completeAttributeValueQuotedAfter(code2){ +return code2===47||code2===62||markdownSpace(code2)?completeAttributeNameBefore(code2):nok(code2)}function completeEnd(code2){return code2===62?(effects.consume(code2),completeAfter):nok(code2)}function completeAfter(code2){return code2===null||markdownLineEnding(code2)?continuation(code2):markdownSpace(code2)?(effects.consume(code2),completeAfter):nok(code2)}function continuation(code2){return code2===45&&marker===2?(effects.consume(code2),continuationCommentInside):code2===60&&marker===1?(effects. +consume(code2),continuationRawTagOpen):code2===62&&marker===4?(effects.consume(code2),continuationClose):code2===63&&marker===3?(effects.consume(code2),continuationDeclarationInside):code2===93&&marker===5?(effects.consume(code2),continuationCdataInside):markdownLineEnding(code2)&&(marker===6||marker===7)?(effects.exit("htmlFlowData"),effects.check(blankLineBefore,continuationAfter,continuationStart)(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationStart( +code2)):(effects.consume(code2),continuation)}function continuationStart(code2){return effects.check(nonLazyContinuationStart,continuationStartNonLazy,continuationAfter)(code2)}function continuationStartNonLazy(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),continuationBefore}function continuationBefore(code2){return code2===null||markdownLineEnding(code2)?continuationStart(code2):(effects.enter("htmlFlowData"),continuation(code2))}function continuationCommentInside(code2){ +return code2===45?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationRawTagOpen(code2){return code2===47?(effects.consume(code2),buffer="",continuationRawEndTag):continuation(code2)}function continuationRawEndTag(code2){if(code2===62){const name=buffer.toLowerCase();return htmlRawNames.includes(name)?(effects.consume(code2),continuationClose):continuation(code2)}return asciiAlpha(code2)&&buffer.length<8?(effects.consume(code2),buffer+=String.fromCharCode( +code2),continuationRawEndTag):continuation(code2)}function continuationCdataInside(code2){return code2===93?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationDeclarationInside(code2){return code2===62?(effects.consume(code2),continuationClose):code2===45&&marker===2?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationClose(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationAfter( +code2)):(effects.consume(code2),continuationClose)}function continuationAfter(code2){return effects.exit("htmlFlow"),ok(code2)}}function tokenizeNonLazyContinuationStart(effects,ok,nok){const self2=this;return start2;function start2(code2){return markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),after):nok(code2)}function after(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}function tokenizeBlankLineBefore(effects,ok,nok){ +return start2;function start2(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),effects.attempt(blankLine,ok,nok)}}const htmlText={name:"htmlText",tokenize:tokenizeHtmlText};function tokenizeHtmlText(effects,ok,nok){const self2=this;let marker,index2,returnState;return start2;function start2(code2){return effects.enter("htmlText"),effects.enter("htmlTextData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects.consume(code2),declarationOpen): +code2===47?(effects.consume(code2),tagCloseStart):code2===63?(effects.consume(code2),instruction):asciiAlpha(code2)?(effects.consume(code2),tagOpen):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),commentOpenInside):code2===91?(effects.consume(code2),index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2),declaration):nok(code2)}function commentOpenInside(code2){return code2===45?(effects.consume(code2),commentEnd):nok(code2)}function comment2(code2){ +return code2===null?nok(code2):code2===45?(effects.consume(code2),commentClose):markdownLineEnding(code2)?(returnState=comment2,lineEndingBefore(code2)):(effects.consume(code2),comment2)}function commentClose(code2){return code2===45?(effects.consume(code2),commentEnd):comment2(code2)}function commentEnd(code2){return code2===62?end(code2):code2===45?commentClose(code2):comment2(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume( +code2),index2===value.length?cdata:cdataOpenInside):nok(code2)}function cdata(code2){return code2===null?nok(code2):code2===93?(effects.consume(code2),cdataClose):markdownLineEnding(code2)?(returnState=cdata,lineEndingBefore(code2)):(effects.consume(code2),cdata)}function cdataClose(code2){return code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function cdataEnd(code2){return code2===62?end(code2):code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function declaration(code2){return code2=== +null||code2===62?end(code2):markdownLineEnding(code2)?(returnState=declaration,lineEndingBefore(code2)):(effects.consume(code2),declaration)}function instruction(code2){return code2===null?nok(code2):code2===63?(effects.consume(code2),instructionClose):markdownLineEnding(code2)?(returnState=instruction,lineEndingBefore(code2)):(effects.consume(code2),instruction)}function instructionClose(code2){return code2===62?end(code2):instruction(code2)}function tagCloseStart(code2){return asciiAlpha(code2)? +(effects.consume(code2),tagClose):nok(code2)}function tagClose(code2){return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),tagClose):tagCloseBetween(code2)}function tagCloseBetween(code2){return markdownLineEnding(code2)?(returnState=tagCloseBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagCloseBetween):end(code2)}function tagOpen(code2){return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpen):code2===47||code2===62||markdownLineEndingOrSpace( +code2)?tagOpenBetween(code2):nok(code2)}function tagOpenBetween(code2){return code2===47?(effects.consume(code2),end):code2===58||code2===95||asciiAlpha(code2)?(effects.consume(code2),tagOpenAttributeName):markdownLineEnding(code2)?(returnState=tagOpenBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenBetween):end(code2)}function tagOpenAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpenAttributeName): +tagOpenAttributeNameAfter(code2)}function tagOpenAttributeNameAfter(code2){return code2===61?(effects.consume(code2),tagOpenAttributeValueBefore):markdownLineEnding(code2)?(returnState=tagOpenAttributeNameAfter,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeNameAfter):tagOpenBetween(code2)}function tagOpenAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2), +marker=code2,tagOpenAttributeValueQuoted):markdownLineEnding(code2)?(returnState=tagOpenAttributeValueBefore,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeValueBefore):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuoted(code2){return code2===marker?(effects.consume(code2),marker=void 0,tagOpenAttributeValueQuotedAfter):code2===null?nok(code2):markdownLineEnding(code2)?(returnState=tagOpenAttributeValueQuoted,lineEndingBefore( +code2)):(effects.consume(code2),tagOpenAttributeValueQuoted)}function tagOpenAttributeValueUnquoted(code2){return code2===null||code2===34||code2===39||code2===60||code2===61||code2===96?nok(code2):code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuotedAfter(code2){return code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):nok(code2)}function end(code2){return code2=== +62?(effects.consume(code2),effects.exit("htmlTextData"),effects.exit("htmlText"),ok):nok(code2)}function lineEndingBefore(code2){return effects.exit("htmlTextData"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineEndingAfter}function lineEndingAfter(code2){return markdownSpace(code2)?factorySpace(effects,lineEndingAfterPrefix,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):lineEndingAfterPrefix(code2)}function lineEndingAfterPrefix(code2){ +return effects.enter("htmlTextData"),returnState(code2)}}const labelEnd={name:"labelEnd",resolveAll:resolveAllLabelEnd,resolveTo:resolveToLabelEnd,tokenize:tokenizeLabelEnd},resourceConstruct={tokenize:tokenizeResource},referenceFullConstruct={tokenize:tokenizeReferenceFull},referenceCollapsedConstruct={tokenize:tokenizeReferenceCollapsed};function resolveAllLabelEnd(events){let index2=-1;const newEvents=[];for(;++index2=3&&(code2===null||markdownLineEnding(code2))?(effects.exit("thematicBreak"),ok(code2)):nok(code2)}function sequence(code2){return code2===marker?(effects.consume(code2),size2++, +sequence):(effects.exit("thematicBreakSequence"),markdownSpace(code2)?factorySpace(effects,atBreak,"whitespace")(code2):atBreak(code2))}}const list$3={continuation:{tokenize:tokenizeListContinuation},exit:tokenizeListEnd,name:"list",tokenize:tokenizeListStart},listItemPrefixWhitespaceConstruct={partial:!0,tokenize:tokenizeListItemPrefixWhitespace},indentConstruct={partial:!0,tokenize:tokenizeIndent$1};function tokenizeListStart(effects,ok,nok){const self2=this,tail=self2.events[self2.events.length- +1];let initialSize=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],!0).length:0,size2=0;return start2;function start2(code2){const kind=self2.containerState.type||(code2===42||code2===43||code2===45?"listUnordered":"listOrdered");if(kind==="listUnordered"?!self2.containerState.marker||code2===self2.containerState.marker:asciiDigit(code2)){if(self2.containerState.type||(self2.containerState.type=kind,effects.enter(kind,{_container:!0})),kind==="listUnordered")return effects.enter( +"listItemPrefix"),code2===42||code2===45?effects.check(thematicBreak$2,nok,atMarker)(code2):atMarker(code2);if(!self2.interrupt||code2===49)return effects.enter("listItemPrefix"),effects.enter("listItemValue"),inside(code2)}return nok(code2)}function inside(code2){return asciiDigit(code2)&&++size2<10?(effects.consume(code2),inside):(!self2.interrupt||size2<2)&&(self2.containerState.marker?code2===self2.containerState.marker:code2===41||code2===46)?(effects.exit("listItemValue"),atMarker(code2)): +nok(code2)}function atMarker(code2){return effects.enter("listItemMarker"),effects.consume(code2),effects.exit("listItemMarker"),self2.containerState.marker=self2.containerState.marker||code2,effects.check(blankLine,self2.interrupt?nok:onBlank,effects.attempt(listItemPrefixWhitespaceConstruct,endOfPrefix,otherPrefix))}function onBlank(code2){return self2.containerState.initialBlankLine=!0,initialSize++,endOfPrefix(code2)}function otherPrefix(code2){return markdownSpace(code2)?(effects.enter("lis\ +tItemPrefixWhitespace"),effects.consume(code2),effects.exit("listItemPrefixWhitespace"),endOfPrefix):nok(code2)}function endOfPrefix(code2){return self2.containerState.size=initialSize+self2.sliceSerialize(effects.exit("listItemPrefix"),!0).length,ok(code2)}}function tokenizeListContinuation(effects,ok,nok){const self2=this;return self2.containerState._closeFlow=void 0,effects.check(blankLine,onBlank,notBlank);function onBlank(code2){return self2.containerState.furtherBlankLines=self2.containerState. +furtherBlankLines||self2.containerState.initialBlankLine,factorySpace(effects,ok,"listItemIndent",self2.containerState.size+1)(code2)}function notBlank(code2){return self2.containerState.furtherBlankLines||!markdownSpace(code2)?(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,notInCurrentItem(code2)):(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,effects.attempt(indentConstruct,ok,notInCurrentItem)(code2))}function notInCurrentItem(code2){ +return self2.containerState._closeFlow=!0,self2.interrupt=void 0,factorySpace(effects,effects.attempt(list$3,ok,nok),"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2)}}function tokenizeIndent$1(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemIndent",self2.containerState.size+1);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="listItemIndent"&&tail[2].sliceSerialize(tail[1], +!0).length===self2.containerState.size?ok(code2):nok(code2)}}function tokenizeListEnd(effects){effects.exit(this.containerState.type)}function tokenizeListItemPrefixWhitespace(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemPrefixWhitespace",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:5);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return!markdownSpace(code2)&&tail&&tail[1].type==="listItemPrefixWhitespace"? +ok(code2):nok(code2)}}const setextUnderline={name:"setextUnderline",resolveTo:resolveToSetextUnderline,tokenize:tokenizeSetextUnderline};function resolveToSetextUnderline(events,context){let index2=events.length,content2,text2,definition2;for(;index2--;)if(events[index2][0]==="enter"){if(events[index2][1].type==="content"){content2=index2;break}events[index2][1].type==="paragraph"&&(text2=index2)}else events[index2][1].type==="content"&&events.splice(index2,1),!definition2&&events[index2][1].type=== +"definition"&&(definition2=index2);const heading2={type:"setextHeading",start:{...events[content2][1].start},end:{...events[events.length-1][1].end}};return events[text2][1].type="setextHeadingText",definition2?(events.splice(text2,0,["enter",heading2,context]),events.splice(definition2+1,0,["exit",events[content2][1],context]),events[content2][1].end={...events[definition2][1].end}):events[content2][1]=heading2,events.push(["exit",heading2,context]),events}function tokenizeSetextUnderline(effects,ok,nok){ +const self2=this;let marker;return start2;function start2(code2){let index2=self2.events.length,paragraph2;for(;index2--;)if(self2.events[index2][1].type!=="lineEnding"&&self2.events[index2][1].type!=="linePrefix"&&self2.events[index2][1].type!=="content"){paragraph2=self2.events[index2][1].type==="paragraph";break}return!self2.parser.lazy[self2.now().line]&&(self2.interrupt||paragraph2)?(effects.enter("setextHeadingLine"),marker=code2,before(code2)):nok(code2)}function before(code2){return effects. +enter("setextHeadingLineSequence"),inside(code2)}function inside(code2){return code2===marker?(effects.consume(code2),inside):(effects.exit("setextHeadingLineSequence"),markdownSpace(code2)?factorySpace(effects,after,"lineSuffix")(code2):after(code2))}function after(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("setextHeadingLine"),ok(code2)):nok(code2)}}const flow$1={tokenize:initializeFlow};function initializeFlow(effects){const self2=this,initial=effects.attempt(blankLine, +atBlankEnding,effects.attempt(this.parser.constructs.flowInitial,afterConstruct,factorySpace(effects,effects.attempt(this.parser.constructs.flow,afterConstruct,effects.attempt(content,afterConstruct)),"linePrefix")));return initial;function atBlankEnding(code2){if(code2===null){effects.consume(code2);return}return effects.enter("lineEndingBlank"),effects.consume(code2),effects.exit("lineEndingBlank"),self2.currentConstruct=void 0,initial}function afterConstruct(code2){if(code2===null){effects.consume( +code2);return}return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),self2.currentConstruct=void 0,initial}}const resolver={resolveAll:createResolver()},string$1=initializeFactory("string"),text$7=initializeFactory("text");function initializeFactory(field){return{resolveAll:createResolver(field==="text"?resolveAllLineSuffixes:void 0),tokenize:initializeText};function initializeText(effects){const self2=this,constructs2=this.parser.constructs[field],text2=effects.attempt( +constructs2,start2,notText);return start2;function start2(code2){return atBreak(code2)?text2(code2):notText(code2)}function notText(code2){if(code2===null){effects.consume(code2);return}return effects.enter("data"),effects.consume(code2),data}function data(code2){return atBreak(code2)?(effects.exit("data"),text2(code2)):(effects.consume(code2),data)}function atBreak(code2){if(code2===null)return!0;const list2=constructs2[code2];let index2=-1;if(list2)for(;++index2-1){const head2=view[0];typeof head2=="string"?view[0]=head2.slice(startBufferIndex):view.shift()}endBufferIndex>0&&view.push(chunks[endIndex].slice(0,endBufferIndex))}return view}function serializeChunks(chunks,expandTabs){let index2=-1;const result=[];let atTab;for(;++index2-1?parent.start:1)+(state2.options.incrementListMarker===!1?0:parent.children.indexOf(node2))+bullet);let size2=bullet.length+1;(listItemIndent==="tab"||listItemIndent==="mixed"&&(parent&&parent.type==="list"&&parent.spread||node2.spread))&&(size2=Math.ceil(size2/4)*4);const tracker=state2.createTracker(info2);tracker.move(bullet+" ".repeat(size2-bullet.length)),tracker.shift(size2);const exit2=state2.enter("listItem"),value=state2.indentLines(state2.containerFlow(node2, tracker.current()),map2);return exit2(),value;function map2(line,index2,blank){return index2?(blank?"":" ".repeat(size2))+line:(blank?bullet:bullet+" ".repeat(size2-bullet.length))+line}}function paragraph$1(node2,_,state2,info2){const exit2=state2.enter("paragraph"),subexit=state2.enter("phrasing"),value=state2.containerPhrasing(node2,info2);return subexit(),exit2(),value}const phrasing=convert(["break","delete","emphasis","footnote","footnoteReference","image","imageReference","inlineCode","in\ -lineMath","link","linkReference","mdxJsxTextElement","mdxTextExpression","strong","text","textDirective"]);function root$l(node2,_,state2,info2){return(node2.children.some(function(d2){return phrasing(d2)})?state2.containerPhrasing:state2.containerFlow).call(state2,node2,info2)}function checkStrong(state2){const marker=state2.options.strong||"*";if(marker!=="*"&&marker!=="_")throw new Error("Cannot serialize strong with `"+marker+"` for `options.strong`, expected `*`, or `_`");return marker}strong$1. +lineMath","link","linkReference","mdxJsxTextElement","mdxTextExpression","strong","text","textDirective"]);function root$X(node2,_,state2,info2){return(node2.children.some(function(d2){return phrasing(d2)})?state2.containerPhrasing:state2.containerFlow).call(state2,node2,info2)}function checkStrong(state2){const marker=state2.options.strong||"*";if(marker!=="*"&&marker!=="_")throw new Error("Cannot serialize strong with `"+marker+"` for `options.strong`, expected `*`, or `_`");return marker}strong$1. peek=strongPeek;function strong$1(node2,_,state2,info2){const marker=checkStrong(state2),exit2=state2.enter("strong"),tracker=state2.createTracker(info2),before=tracker.move(marker+marker);let between2=tracker.move(state2.containerPhrasing(node2,{after:marker,before,...tracker.current()}));const betweenHead=between2.charCodeAt(0),open2=encodeInfo(info2.before.charCodeAt(info2.before.length-1),betweenHead,marker);open2.inside&&(between2=encodeCharacterReference(betweenHead)+between2.slice(1));const betweenTail=between2. charCodeAt(between2.length-1),close2=encodeInfo(info2.after.charCodeAt(0),betweenTail,marker);close2.inside&&(between2=between2.slice(0,-1)+encodeCharacterReference(betweenTail));const after=tracker.move(marker+marker);return exit2(),state2.attentionEncodeSurroundingInfo={after:close2.outside,before:open2.outside},before+between2+after}function strongPeek(_,_12,state2){return state2.options.strong||"*"}function text$5(node2,_,state2,info2){return state2.safe(node2.value,info2)}function checkRuleRepetition(state2){ const repetition=state2.options.ruleRepetition||3;if(repetition<3)throw new Error("Cannot serialize rules with repetition `"+repetition+"` for `options.ruleRepetition`, expected `3` or more");return repetition}function thematicBreak$1(_,_12,state2){const value=(checkRule(state2)+(state2.options.ruleSpaces?" ":"")).repeat(checkRuleRepetition(state2));return state2.options.ruleSpaces?value.slice(0,-1):value}const handle$1={blockquote:blockquote$1,break:hardBreak$1,code:code$2,definition,emphasis:emphasis$1, -hardBreak:hardBreak$1,heading:heading$1,html:html$5,image:image$1,imageReference:imageReference$1,inlineCode:inlineCode$1,link:link$1,linkReference:linkReference$1,list:list$1,listItem:listItem$1,paragraph:paragraph$1,root:root$l,strong:strong$1,text:text$5,thematicBreak:thematicBreak$1},join$1=[joinDefaults];function joinDefaults(left,right,parent,state2){if(right.type==="code"&&formatCodeAsIndented(right,state2)&&(left.type==="list"||left.type===right.type&&formatCodeAsIndented(left,state2)))return!1; +hardBreak:hardBreak$1,heading:heading$1,html:html$5,image:image$1,imageReference:imageReference$1,inlineCode:inlineCode$1,link:link$1,linkReference:linkReference$1,list:list$1,listItem:listItem$1,paragraph:paragraph$1,root:root$X,strong:strong$1,text:text$5,thematicBreak:thematicBreak$1},join$1=[joinDefaults];function joinDefaults(left,right,parent,state2){if(right.type==="code"&&formatCodeAsIndented(right,state2)&&(left.type==="list"||left.type===right.type&&formatCodeAsIndented(left,state2)))return!1; if("spread"in parent&&typeof parent.spread=="boolean")return left.type==="paragraph"&&(left.type===right.type||right.type==="definition"||right.type==="heading"&&formatHeadingAsSetext(right,state2))?void 0:parent.spread?1:0}const fullPhrasingSpans=["autolink","destinationLiteral","destinationRaw","reference","titleQuote","titleApostrophe"],unsafe=[{character:" ",after:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",before:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",inConstruct:["codeFenc\ edLangGraveAccent","codeFencedLangTilde"]},{character:"\r",inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde","codeFencedMetaGraveAccent","codeFencedMetaTilde","destinationLiteral","headingAtx"]},{character:` `,inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde","codeFencedMetaGraveAccent","codeFencedMetaTilde","destinationLiteral","headingAtx"]},{character:" ",after:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",before:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde"]},{character:"!",after:"\\[",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{character:'"',inConstruct:"titleQuote"},{atBreak:!0,character:"#"},{character:"\ @@ -10759,7 +10332,7 @@ unshift({type:"element",tagName:"input",properties:{type:"checkbox",checked:node `}),child2.type==="element"&&child2.tagName==="p"&&!loose?children.push(...child2.children):children.push(child2)}const tail=results[results.length-1];tail&&(loose||tail.type!=="element"||tail.tagName!=="p")&&children.push({type:"text",value:` `});const result={type:"element",tagName:"li",properties:properties2,children};return state2.patch(node2,result),state2.applyData(node2,result)}function listLoose(node2){let loose=!1;if(node2.type==="list"){loose=node2.spread||!1;const children=node2.children;let index2=-1;for(;!loose&&++index21}function list(state2,node2){const properties2={}, results=state2.all(node2);let index2=-1;for(typeof node2.start=="number"&&node2.start!==1&&(properties2.start=node2.start);++index20&&typeof point3.column=="number"&&point3.column>0)return{line:point3.line,column:point3.column,offset:typeof point3.offset=="number"&&point3.offset>-1?point3.offset:void 0}}} function position(node2){const start2=pointStart(node2),end=pointEnd(node2);if(start2&&end)return{start:start2,end}}function table(state2,node2){const rows=state2.all(node2),firstRow=rows.shift(),tableContent=[];if(firstRow){const head2={type:"element",tagName:"thead",properties:{},children:state2.wrap([firstRow],!0)};state2.patch(node2.children[0],head2),tableContent.push(head2)}if(rows.length>0){const body2={type:"element",tagName:"tbody",properties:{},children:state2.wrap(rows,!0)},start2=pointStart( node2.children[1]),end=pointEnd(node2.children[node2.children.length-1]);start2&&end&&(body2.position={start:start2,end}),tableContent.push(body2)}const result={type:"element",tagName:"table",properties:{},children:state2.wrap(tableContent,!0)};return state2.patch(node2,result),state2.applyData(node2,result)}function tableRow(state2,node2,parent){const siblings2=parent?parent.children:void 0,tagName=(siblings2?siblings2.indexOf(node2):1)===0?"th":"td",align=parent&&parent.type==="table"?parent.align: @@ -10767,7 +10340,7 @@ void 0,length=align?align.length:node2.children.length;let cellIndex=-1;const ce children:state2.wrap(cells2,!0)};return state2.patch(node2,result),state2.applyData(node2,result)}function tableCell(state2,node2){const result={type:"element",tagName:"td",properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}const tab=9,space=32;function trimLines(value){const source2=String(value),search2=/\r?\n|\r/g;let match=search2.exec(source2),last=0;const lines=[];for(;match;)lines.push(trimLine(source2.slice(last,match.index),last>0, !0),match[0]),last=match.index+match[0].length,match=search2.exec(source2);return lines.push(trimLine(source2.slice(last),last>0,!1)),lines.join("")}function trimLine(value,start2,end){let startIndex=0,endIndex=value.length;if(start2){let code2=value.codePointAt(startIndex);for(;code2===tab||code2===space;)startIndex++,code2=value.codePointAt(startIndex)}if(end){let code2=value.codePointAt(endIndex-1);for(;code2===tab||code2===space;)endIndex--,code2=value.codePointAt(endIndex-1)}return endIndex> startIndex?value.slice(startIndex,endIndex):""}function text$2(state2,node2){const result={type:"text",value:trimLines(String(node2.value))};return state2.patch(node2,result),state2.applyData(node2,result)}function thematicBreak(state2,node2){const result={type:"element",tagName:"hr",properties:{},children:[]};return state2.patch(node2,result),state2.applyData(node2,result)}const handlers={blockquote,break:hardBreak,code,delete:strikethrough,emphasis,footnoteReference,heading,html:html$4,imageReference, -image,inlineCode,linkReference,link,listItem,list,paragraph,root:root$k,strong,table,tableCell,tableRow,text:text$2,thematicBreak,toml:ignore,yaml:ignore,definition:ignore,footnoteDefinition:ignore};function ignore(){}const VOID=-1,PRIMITIVE=0,ARRAY=1,OBJECT=2,DATE=3,REGEXP=4,MAP=5,SET=6,ERROR=7,BIGINT=8,env=typeof self=="object"?self:globalThis,deserializer=($,_)=>{const as=(out,index2)=>($.set(index2,out),out),unpair=index2=>{if($.has(index2))return $.get(index2);const[type2,value]=_[index2];switch(type2){case PRIMITIVE:case VOID: +image,inlineCode,linkReference,link,listItem,list,paragraph,root:root$W,strong,table,tableCell,tableRow,text:text$2,thematicBreak,toml:ignore,yaml:ignore,definition:ignore,footnoteDefinition:ignore};function ignore(){}const VOID=-1,PRIMITIVE=0,ARRAY=1,OBJECT=2,DATE=3,REGEXP=4,MAP=5,SET=6,ERROR=7,BIGINT=8,env=typeof self=="object"?self:globalThis,deserializer=($,_)=>{const as=(out,index2)=>($.set(index2,out),out),unpair=index2=>{if($.has(index2))return $.get(index2);const[type2,value]=_[index2];switch(type2){case PRIMITIVE:case VOID: return as(value,index2);case ARRAY:{const arr=as([],index2);for(const index3 of value)arr.push(unpair(index3));return arr}case OBJECT:{const object2=as({},index2);for(const[key2,index3]of value)object2[unpair(key2)]=unpair(index3);return object2}case DATE:return as(new Date(value),index2);case REGEXP:{const{source:source2,flags:flags2}=value;return as(new RegExp(source2,flags2),index2)}case MAP:{const map2=as(new Map,index2);for(const[key2,index3]of value)map2.set(unpair(key2),unpair(index3));return map2}case SET:{ const set2=as(new Set,index2);for(const index3 of value)set2.add(unpair(index3));return set2}case ERROR:{const{name,message}=value;return as(new env[name](message),index2)}case BIGINT:return as(BigInt(value),index2);case"BigInt":return as(Object(BigInt(value)),index2);case"ArrayBuffer":return as(new Uint8Array(value).buffer,value);case"DataView":{const{buffer}=new Uint8Array(value);return as(new DataView(buffer),value)}}return as(new env[type2](value),index2)};return unpair},deserialize=serialized=>deserializer( new Map,serialized)(0),EMPTY="",{toString}={},{keys}=Object,typeOf=value=>{const type2=typeof value;if(type2!=="object"||!value)return[PRIMITIVE,type2];const asString=toString.call(value).slice(8,-1);switch(asString){case"Array":return[ARRAY,EMPTY];case"Object":return[OBJECT,EMPTY];case"Date":return[DATE,EMPTY];case"RegExp":return[REGEXP,EMPTY];case"Map":return[MAP,EMPTY];case"Set":return[SET,EMPTY];case"DataView":return[ARRAY,asString]}return asString.includes("Array")?[ARRAY,asString]:asString. @@ -10844,7 +10417,7 @@ parsePrimitive(info2,info2.property,value):Array.isArray(value)?result=[...value boolean||info2.overloadedBoolean)&&(value===""||normalize(value)===normalize(name)))return!0}return value}function style(styles2){const result=[];for(const[key2,value]of Object.entries(styles2))result.push([key2,value].join(": "));return result.join("; ")}function createAdjustMap(values){const result=new Map;for(const value of values)result.set(value.toLowerCase(),value);return result}const svgCaseSensitiveTagNames=["altGlyph","altGlyphDef","altGlyphItem","animateColor","animateMotion","animateT\ ransform","clipPath","feBlend","feColorMatrix","feComponentTransfer","feComposite","feConvolveMatrix","feDiffuseLighting","feDisplacementMap","feDistantLight","feDropShadow","feFlood","feFuncA","feFuncB","feFuncG","feFuncR","feGaussianBlur","feImage","feMerge","feMergeNode","feMorphology","feOffset","fePointLight","feSpecularLighting","feSpotLight","feTile","feTurbulence","foreignObject","glyphRef","linearGradient","radialGradient","solidColor","textArea","textPath"],h=createH(html$2,"div"),s=createH( svg,"g",svgCaseSensitiveTagNames),webNamespaces={html:"http://www.w3.org/1999/xhtml",svg:"http://www.w3.org/2000/svg"};function fromDom(tree,options){return transform(tree,{})||{type:"root",children:[]}}function transform(node2,options){const transformed=one$1(node2,options);return transformed&&options.afterTransform&&options.afterTransform(node2,transformed),transformed}function one$1(node2,options){switch(node2.nodeType){case 1:return element$1(node2,options);case 3:return text$1(node2);case 8: -return comment$1(node2);case 9:return root$j(node2,options);case 10:return doctype$1();case 11:return root$j(node2,options);default:return}}function root$j(node2,options){return{type:"root",children:all$1(node2,options)}}function doctype$1(){return{type:"doctype"}}function text$1(node2){return{type:"text",value:node2.nodeValue||""}}function comment$1(node2){return{type:"comment",value:node2.nodeValue||""}}function element$1(node2,options){const space2=node2.namespaceURI,x=space2===webNamespaces. +return comment$1(node2);case 9:return root$V(node2,options);case 10:return doctype$1();case 11:return root$V(node2,options);default:return}}function root$V(node2,options){return{type:"root",children:all$1(node2,options)}}function doctype$1(){return{type:"doctype"}}function text$1(node2){return{type:"text",value:node2.nodeValue||""}}function comment$1(node2){return{type:"comment",value:node2.nodeValue||""}}function element$1(node2,options){const space2=node2.namespaceURI,x=space2===webNamespaces. svg?s:h,tagName=space2===webNamespaces.html?node2.tagName.toLowerCase():node2.tagName,content2=space2===webNamespaces.html&&tagName==="template"?node2.content:node2,attributes=node2.getAttributeNames(),properties2={};let index2=-1;for(;++index2ccount(value,state2.alternative)&&(quote=state2.alternative),result=quote+stringifyEntities(value,Object.assign({},state2.settings.characterReferences,{subset:(quote==="'"?constants.single:constants. -double)[x][y],attribute:!0}))+quote),name+(result&&"="+result))}const textEntitySubset=["<","&"];function text(node2,_,parent,state2){return parent&&parent.type==="element"&&(parent.tagName==="script"||parent.tagName==="style")?node2.value:stringifyEntities(node2.value,Object.assign({},state2.settings.characterReferences,{subset:textEntitySubset}))}function raw(node2,index2,parent,state2){return state2.settings.allowDangerousHtml?node2.value:text(node2,index2,parent,state2)}function root$i(node2,_12,_22,state2){ -return state2.all(node2)}const handle=zwitch("type",{invalid,unknown,handlers:{comment,doctype,element,raw,root:root$i,text}});function invalid(node2){throw new Error("Expected node, not `"+node2+"`")}function unknown(node_){const node2=node_;throw new Error("Cannot compile unknown node `"+node2.type+"`")}const emptyOptions={},emptyCharacterReferences={},emptyChildren=[];function toHtml(tree,options){const options_=options||emptyOptions,quote=options_.quote||'"',alternative=quote==='"'?"'":'"';if(quote!== +double)[x][y],attribute:!0}))+quote),name+(result&&"="+result))}const textEntitySubset=["<","&"];function text(node2,_,parent,state2){return parent&&parent.type==="element"&&(parent.tagName==="script"||parent.tagName==="style")?node2.value:stringifyEntities(node2.value,Object.assign({},state2.settings.characterReferences,{subset:textEntitySubset}))}function raw(node2,index2,parent,state2){return state2.settings.allowDangerousHtml?node2.value:text(node2,index2,parent,state2)}function root$U(node2,_12,_22,state2){ +return state2.all(node2)}const handle=zwitch("type",{invalid,unknown,handlers:{comment,doctype,element,raw,root:root$U,text}});function invalid(node2){throw new Error("Expected node, not `"+node2+"`")}function unknown(node_){const node2=node_;throw new Error("Cannot compile unknown node `"+node2.type+"`")}const emptyOptions={},emptyCharacterReferences={},emptyChildren=[];function toHtml(tree,options){const options_=options||emptyOptions,quote=options_.quote||'"',alternative=quote==='"'?"'":'"';if(quote!== '"'&"e!=="'")throw new Error("Invalid quote `"+quote+"`, expected `'` or 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createCopyButton(codeId){return{type:"element",tagName:"button",properties:{className:[COPY_CODE_BTN_CLASS],"data-code-id":codeId,title:"Copy code",type:"button"},children:[createRawHtmlElement(COPY_ICON_SVG)]}}function createPreviewButton(codeId){return{type:"element",tagName:"button",properties:{className:[PREVIEW_CODE_BTN_CLASS],"data-code-id":codeId,title:"Preview code",type:"button"},children:[createRawHtmlElement(PREVIEW_ICON_SVG)]}}function createHeader(language2,codeId){ +vg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-eye lucide-eye-icon">';function createIconElement(svg2){return{type:"element",tagName:"span",properties:{},children:[ +{type:"raw",value:svg2}]}}function createButton(className,title2,iconSvg,codeId){return{type:"element",tagName:"button",properties:{className:[className],"data-code-id":codeId,title:title2,type:"button"},children:[createIconElement(iconSvg)]}}function createCopyButton(codeId){return createButton(COPY_CODE_BTN_CLASS,"Copy code",COPY_ICON_SVG,codeId)}function createPreviewButton(codeId){return createButton(PREVIEW_CODE_BTN_CLASS,"Preview code",PREVIEW_ICON_SVG,codeId)}function createHeader(language2,codeId){ const actions=[createCopyButton(codeId)];return language2.toLowerCase()==="html"&&actions.push(createPreviewButton(codeId)),{type:"element",tagName:"div",properties:{className:[CODE_BLOCK_HEADER_CLASS]},children:[{type:"element",tagName:"span",properties:{className:[CODE_LANGUAGE_CLASS]},children:[{type:"text",value:language2}]},{type:"element",tagName:"div",properties:{className:[CODE_BLOCK_ACTIONS_CLASS]},children:actions}]}}function createScrollContainer(preElement){return{type:"element",tagName:"\ 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          ",1);function MarkdownContent($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disableMath=prop($$props,"disableMath",3, -!1),containerRef=state$1(void 0),renderedBlocks=state$1(proxy([])),unstableBlockHtml=state$1(""),incompleteCodeBlock=state$1(null),previewDialogOpen=state$1(!1),previewCode=state$1(""),previewLanguage=state$1("text"),streamingCodeScrollContainer=state$1(void 0);const streamingAutoScroll=createAutoScrollController();let pendingMarkdown=null,isProcessing=!1;const transformCache=new SvelteMap;let previousContent="";const themeStyleId=`highlight-theme-${window.idxThemeStyle=(window.idxThemeStyle??0)+ -1}`;let processor=user_derived(()=>()=>{$$props.attachments;let proc=remark().use(remarkGfm);return disableMath()||(proc=proc.use(remarkMath)),proc=proc.use(remarkBreaks).use(remarkLiteralHtml).use(remarkRehype),disableMath()||(proc=proc.use(rehypeKatex)),proc.use(rehypeHighlight,{languages:grammars,aliases:{[FileTypeText.XML]:[FileTypeText.SVELTE,FileTypeText.VUE]}}).use(rehypeRestoreTableHtml).use(rehypeEnhanceLinks).use(rehypeEnhanceCodeBlocks).use(rehypeResolveAttachmentImages,{attachments:$$props. -attachments}).use(rehypeRtlSupport).use(rehypeStringify,{allowDangerousHtml:!0})});function cleanupEventListeners(){if(!get$3(containerRef))return;const copyButtons=get$3(containerRef).querySelectorAll(".copy-code-btn"),previewButtons=get$3(containerRef).querySelectorAll(".preview-code-btn");for(const button of copyButtons)button.removeEventListener("click",handleCopyClick);for(const button of previewButtons)button.removeEventListener("click",handlePreviewClick)}function cleanupHighlightTheme(){ -document.getElementById(themeStyleId)?.remove()}function loadHighlightTheme(isDark){document.getElementById(themeStyleId)?.remove();const style2=document.createElement("style");style2.id=themeStyleId,style2.textContent=isDark?githubDarkCss:githubLightCss,document.head.appendChild(style2)}function getCodeInfoFromTarget(target2){const wrapper=target2.closest(".code-block-wrapper");if(!wrapper)return console.error("No wrapper found"),null;const codeElement=wrapper.querySelector("code[data-code-id]"); -if(!codeElement)return console.error("No code element found in wrapper"),null;const rawCode=codeElement.textContent??"",language2=wrapper.querySelector(".code-language")?.textContent?.trim()||"text";return{rawCode,language:language2}}function getHastNodeId(node2,indexFallback){const position2=node2.position;return position2?.start?.offset!=null&&position2?.end?.offset!=null?`hast-${position2.start.offset}-${position2.end.offset}`:`${node2.type}-${indexFallback}`}function getMdastNodeHash(node2,index2){ -const n=node2;return n.position?.start?.offset!=null&&n.position?.end?.offset!=null?`${n.type}-${n.position.start.offset}-${n.position.end.offset}`:`${n.type}-idx${index2}`}function isAppendMode(newContent){return previousContent.length>0&&newContent.startsWith(previousContent)}async function transformMdastNode(processorInstance,node2,index2){const hash2=getMdastNodeHash(node2,index2),cached2=transformCache.get(hash2);if(cached2)return{html:cached2,hash:hash2};const singleNodeRoot={type:"root",children:[ -node2]},transformedRoot=await processorInstance.run(singleNodeRoot),html2=processorInstance.stringify(transformedRoot);return transformCache.set(hash2,html2),{html:html2,hash:hash2}}async function handleCopyClick(event2){event2.preventDefault(),event2.stopPropagation();const target2=event2.currentTarget;if(!target2)return;const info2=getCodeInfoFromTarget(target2);if(info2)try{await copyCodeToClipboard(info2.rawCode)}catch(error2){console.error("Failed to copy code:",error2)}}function handlePreviewDialogOpenChange(open2){ -set$1(previewDialogOpen,open2,!0),open2||(set$1(previewCode,""),set$1(previewLanguage,"text"))}function handlePreviewClick(event2){event2.preventDefault(),event2.stopPropagation();const target2=event2.currentTarget;if(!target2)return;const info2=getCodeInfoFromTarget(target2);info2&&(set$1(previewCode,info2.rawCode,!0),set$1(previewLanguage,info2.language,!0),set$1(previewDialogOpen,!0))}async function processMarkdown(markdown2){if(markdown2===previousContent)return;if(!markdown2){set$1(renderedBlocks, -[],!0),set$1(unstableBlockHtml,""),set$1(incompleteCodeBlock,null),previousContent="";return}const incompleteBlock=detectIncompleteCodeBlock(markdown2);if(incompleteBlock){const prefixMarkdown=markdown2.slice(0,incompleteBlock.openingIndex);if(prefixMarkdown.trim()){const normalizedPrefix=preprocessLaTeX(prefixMarkdown),processorInstance2=get$3(processor)(),mdastChildren2=processorInstance2.parse(normalizedPrefix).children??[],nextBlocks2=[],appendMode2=isAppendMode(prefixMarkdown),previousBlockCount2=appendMode2? -get$3(renderedBlocks).length:0;for(let index2=0;index2stableCount){const singleNodeRoot={type:"root",children:[mdastChildren[stableCount]]},transformedRoot=await processorInstance.run(singleNodeRoot);unstableHtml=processorInstance.stringify(transformedRoot)}set$1(renderedBlocks,nextBlocks,!0),previousContent=markdown2,await tick(),set$1(unstableBlockHtml,unstableHtml,!0)}function setupCodeBlockActions(){if(!get$3(containerRef))return;const wrappers=get$3(containerRef).querySelectorAll(".code-block-wrapper"); -for(const wrapper of wrappers){const copyButton=wrapper.querySelector(".copy-code-btn"),previewButton=wrapper.querySelector(".preview-code-btn");copyButton&©Button.dataset.listenerBound!=="true"&&(copyButton.dataset.listenerBound="true",copyButton.addEventListener("click",handleCopyClick)),previewButton&&previewButton.dataset.listenerBound!=="true"&&(previewButton.dataset.listenerBound="true",previewButton.addEventListener("click",handlePreviewClick))}}function setupImageErrorHandlers(){if(!get$3( -containerRef))return;const images=get$3(containerRef).querySelectorAll(IMAGE_NOT_ERROR_BOUND_SELECTOR);for(const img of images)img.dataset[DATA_ERROR_BOUND_ATTR]=BOOL_TRUE_STRING,img.addEventListener("error",handleImageError)}function handleImageError(event2){const img=event2.target;if(!img||!img.src||img.src.startsWith(UrlProtocol.DATA)||img.dataset[DATA_ERROR_HANDLED_ATTR]===BOOL_TRUE_STRING)return;img.dataset[DATA_ERROR_HANDLED_ATTR]=BOOL_TRUE_STRING;const src=img.src,fallback2=document.createElement( -"div");fallback2.className="image-load-error",fallback2.innerHTML=getImageErrorFallbackHtml(src),img.parentNode?.replaceChild(fallback2,img)}async function updateRenderedBlocks(markdown2){if(pendingMarkdown=markdown2,!isProcessing){isProcessing=!0;try{for(;pendingMarkdown!==null;){const nextMarkdown=pendingMarkdown;pendingMarkdown=null,await processMarkdown(nextMarkdown),pendingMarkdown!==null&&await new Promise(resolve2=>requestAnimationFrame(resolve2))}}catch(error2){console.error("Failed to p\ -rocess markdown:",error2),set$1(renderedBlocks,[],!0),set$1(unstableBlockHtml,markdown2.replace(/\n/g,"
          "),!0)}finally{isProcessing=!1}}}user_effect(()=>{const isDark=derivedMode.current===ColorMode.DARK;loadHighlightTheme(isDark)}),user_effect(()=>{updateRenderedBlocks($$props.content)}),user_effect(()=>{const hasRenderedBlocks=get$3(renderedBlocks).length>0,hasUnstableBlock=!!get$3(unstableBlockHtml);(hasRenderedBlocks||hasUnstableBlock)&&get$3(containerRef)&&(setupCodeBlockActions(),setupImageErrorHandlers())}), -user_effect(()=>{streamingAutoScroll.setContainer(get$3(streamingCodeScrollContainer))}),user_effect(()=>{streamingAutoScroll.updateInterval(get$3(incompleteCodeBlock)!==null)}),onDestroy(()=>{cleanupEventListeners(),cleanupHighlightTheme(),streamingAutoScroll.destroy()});var fragment=root$h(),div=first_child(fragment),node_1=child(div);each(node_1,17,()=>get$3(renderedBlocks),block2=>block2.id,($$anchor2,block2)=>{var div_1=root_1$6();html$6(div_1,()=>get$3(block2).html,!0),reset(div_1),action( -div_1,($$node,$$action_arg)=>fadeInView?.($$node,$$action_arg),()=>({skipIfVisible:!0})),template_effect(()=>set_attribute(div_1,"data-block-id",get$3(block2).id)),append($$anchor2,div_1)});var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var div_2=root_2$e();html$6(div_2,()=>get$3(unstableBlockHtml),!0),reset(div_2),append($$anchor2,div_2)};if_block(node_2,$$render=>{get$3(unstableBlockHtml)&&$$render(consequent)})}var node_3=sibling(node_2,2);{var consequent_1=$$anchor2=>{var div_3=root_3$8(), -div_4=child(div_3),span=child(div_4),text2=child(span,!0);reset(span);var node_4=sibling(span,2);{let $0=user_derived(()=>get$3(incompleteCodeBlock).language||"text");ActionIconsCodeBlock(node_4,{get code(){return get$3(incompleteCodeBlock).code},get language(){return get$3($0)},disabled:!0,onPreview:(code2,lang)=>{set$1(previewCode,code2,!0),set$1(previewLanguage,lang,!0),set$1(previewDialogOpen,!0)}})}reset(div_4);var div_5=sibling(div_4,2),pre=child(div_5),code_1=child(pre);html$6(code_1,()=>highlightCode( -get$3(incompleteCodeBlock).code,get$3(incompleteCodeBlock).language||"text"),!0),reset(code_1),reset(pre),reset(div_5),bind_this(div_5,$$value=>set$1(streamingCodeScrollContainer,$$value),()=>get$3(streamingCodeScrollContainer)),reset(div_3),template_effect(()=>{set_text(text2,get$3(incompleteCodeBlock).language||"text"),set_class(code_1,1,`hljs language-${(get$3(incompleteCodeBlock).language||"text")??""}`,"svelte-15eq738")}),event("scroll",div_5,()=>streamingAutoScroll.handleScroll()),append($$anchor2, -div_3)};if_block(node_3,$$render=>{get$3(incompleteCodeBlock)&&$$render(consequent_1)})}reset(div),bind_this(div,$$value=>set$1(containerRef,$$value),()=>get$3(containerRef));var node_5=sibling(div,2);DialogCodePreview(node_5,{get open(){return get$3(previewDialogOpen)},get code(){return get$3(previewCode)},get language(){return get$3(previewLanguage)},onOpenChange:handlePreviewDialogOpenChange}),template_effect($0=>set_class(div,1,`${className()??""}${$0??""}`,"svelte-15eq738"),[()=>config$1()[SETTINGS_KEYS. -FULL_HEIGHT_CODE_BLOCKS]?" full-height-code-blocks":""]),append($$anchor,fragment),pop()}var root$g=from_html('
          ');function SyntaxHighlightedCode($$anchor,$$props){push$1($$props,!0);let language2=prop($$props,"language",3,"text"),className=prop($$props,"class",3,""),maxHeight=prop($$props,"maxHeight",3,"60vh"),maxWidth=prop($$props,"maxWidth",3,""),highlightedHtml=state$1("");function loadHighlightTheme(isDark){ +24292e}.hljs-section{color:#005cc5;font-weight:700}.hljs-bullet{color:#735c0f}.hljs-emphasis{color:#24292e;font-style:italic}.hljs-strong{color:#24292e;font-weight:700}.hljs-addition{color:#22863a;background-color:#f0fff4}.hljs-deletion{color:#b31d28;background-color:#ffeef0}";var root_1$t=from_html('
          '),root_2$K=from_html('
          '),root_3$C=from_html('
          '),root$T=from_html("
          ",1);function MarkdownContent($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disableMath=prop($$props,"disableMath",3,!1),containerRef=state$1( +void 0),renderedBlocks=state$1(proxy([])),unstableBlockHtml=state$1(""),incompleteCodeBlock=state$1(null),previewDialogOpen=state$1(!1),previewCode=state$1(""),previewLanguage=state$1("text"),streamingCodeScrollContainer=state$1(void 0);const streamingAutoScroll=createAutoScrollController();let pendingMarkdown=null,isProcessing=!1;const transformCache=new SvelteMap;let previousContent="";const themeStyleId=`highlight-theme-${window.idxThemeStyle=(window.idxThemeStyle??0)+1}`;let processor=user_derived( +()=>()=>{$$props.attachments;let proc=remark().use(remarkGfm);return disableMath()||(proc=proc.use(remarkMath)),proc=proc.use(remarkBreaks).use(remarkLiteralHtml).use(remarkRehype),disableMath()||(proc=proc.use(rehypeKatex)),proc.use(rehypeHighlight,{languages:grammars,aliases:{[FileTypeText.XML]:[FileTypeText.SVELTE,FileTypeText.VUE]}}).use(rehypeRestoreTableHtml).use(rehypeEnhanceLinks).use(rehypeEnhanceCodeBlocks).use(rehypeResolveAttachmentImages,{attachments:$$props.attachments}).use(rehypeRtlSupport). +use(rehypeStringify,{allowDangerousHtml:!0})});function cleanupEventListeners(){if(!get$3(containerRef))return;const copyButtons=get$3(containerRef).querySelectorAll(".copy-code-btn"),previewButtons=get$3(containerRef).querySelectorAll(".preview-code-btn");for(const button of copyButtons)button.removeEventListener("click",handleCopyClick);for(const button of previewButtons)button.removeEventListener("click",handlePreviewClick)}function cleanupHighlightTheme(){document.getElementById(themeStyleId)?. +remove()}function loadHighlightTheme(isDark){document.getElementById(themeStyleId)?.remove();const style2=document.createElement("style");style2.id=themeStyleId,style2.textContent=isDark?githubDarkCss:githubLightCss,document.head.appendChild(style2)}function getCodeInfoFromTarget(target2){const wrapper=target2.closest(".code-block-wrapper");if(!wrapper)return console.error("No wrapper found"),null;const codeElement=wrapper.querySelector("code[data-code-id]");if(!codeElement)return console.error( +"No code element found in wrapper"),null;const rawCode=codeElement.textContent??"",language2=wrapper.querySelector(".code-language")?.textContent?.trim()||"text";return{rawCode,language:language2}}function getHastNodeId(node2,indexFallback){const position2=node2.position;return position2?.start?.offset!=null&&position2?.end?.offset!=null?`hast-${position2.start.offset}-${position2.end.offset}`:`${node2.type}-${indexFallback}`}function getMdastNodeHash(node2,index2){const n=node2;return n.position?. +start?.offset!=null&&n.position?.end?.offset!=null?`${n.type}-${n.position.start.offset}-${n.position.end.offset}`:`${n.type}-idx${index2}`}function isAppendMode(newContent){return previousContent.length>0&&newContent.startsWith(previousContent)}async function transformMdastNode(processorInstance,node2,index2){const hash2=getMdastNodeHash(node2,index2),cached2=transformCache.get(hash2);if(cached2)return{html:cached2,hash:hash2};const singleNodeRoot={type:"root",children:[node2]},transformedRoot=await processorInstance. +run(singleNodeRoot),html2=processorInstance.stringify(transformedRoot);return transformCache.set(hash2,html2),{html:html2,hash:hash2}}async function handleCopyClick(event2){event2.preventDefault(),event2.stopPropagation();const target2=event2.currentTarget;if(!target2)return;const info2=getCodeInfoFromTarget(target2);if(info2)try{await copyCodeToClipboard(info2.rawCode)}catch(error2){console.error("Failed to copy code:",error2)}}function handlePreviewDialogOpenChange(open2){set$1(previewDialogOpen, +open2,!0),open2||(set$1(previewCode,""),set$1(previewLanguage,"text"))}function handlePreviewClick(event2){event2.preventDefault(),event2.stopPropagation();const target2=event2.currentTarget;if(!target2)return;const info2=getCodeInfoFromTarget(target2);info2&&(set$1(previewCode,info2.rawCode,!0),set$1(previewLanguage,info2.language,!0),set$1(previewDialogOpen,!0))}async function processMarkdown(markdown2){if(markdown2===previousContent)return;if(!markdown2){set$1(renderedBlocks,[],!0),set$1(unstableBlockHtml, +""),set$1(incompleteCodeBlock,null),previousContent="";return}const incompleteBlock=detectIncompleteCodeBlock(markdown2);if(incompleteBlock){const prefixMarkdown=markdown2.slice(0,incompleteBlock.openingIndex);if(prefixMarkdown.trim()){const normalizedPrefix=preprocessLaTeX(prefixMarkdown),processorInstance2=get$3(processor)(),mdastChildren2=processorInstance2.parse(normalizedPrefix).children??[],nextBlocks2=[],appendMode2=isAppendMode(prefixMarkdown),previousBlockCount2=appendMode2?get$3(renderedBlocks). +length:0;for(let index2=0;index2stableCount){const singleNodeRoot={type:"root",children:[mdastChildren[stableCount]]},transformedRoot=await processorInstance.run(singleNodeRoot);unstableHtml=processorInstance.stringify(transformedRoot)}set$1(renderedBlocks,nextBlocks,!0),previousContent=markdown2,await tick(),set$1(unstableBlockHtml,unstableHtml,!0)}function setupCodeBlockActions(){if(!get$3(containerRef))return;const wrappers=get$3(containerRef).querySelectorAll(".code-block-wrapper");for(const wrapper of wrappers){ +const copyButton=wrapper.querySelector(".copy-code-btn"),previewButton=wrapper.querySelector(".preview-code-btn");copyButton&©Button.dataset.listenerBound!=="true"&&(copyButton.dataset.listenerBound="true",copyButton.addEventListener("click",handleCopyClick)),previewButton&&previewButton.dataset.listenerBound!=="true"&&(previewButton.dataset.listenerBound="true",previewButton.addEventListener("click",handlePreviewClick))}}function setupImageErrorHandlers(){if(!get$3(containerRef))return;const images=get$3( +containerRef).querySelectorAll(IMAGE_NOT_ERROR_BOUND_SELECTOR);for(const img of images)img.dataset[DATA_ERROR_BOUND_ATTR]=BOOL_TRUE_STRING,img.addEventListener("error",handleImageError)}function handleImageError(event2){const img=event2.target;if(!img||!img.src||img.src.startsWith(UrlProtocol.DATA)||img.dataset[DATA_ERROR_HANDLED_ATTR]===BOOL_TRUE_STRING)return;img.dataset[DATA_ERROR_HANDLED_ATTR]=BOOL_TRUE_STRING;const src=img.src,fallback2=document.createElement("div");fallback2.className="ima\ +ge-load-error",fallback2.innerHTML=getImageErrorFallbackHtml(src),img.parentNode?.replaceChild(fallback2,img)}async function updateRenderedBlocks(markdown2){if(pendingMarkdown=markdown2,!isProcessing){isProcessing=!0;try{for(;pendingMarkdown!==null;){const nextMarkdown=pendingMarkdown;pendingMarkdown=null,await processMarkdown(nextMarkdown),pendingMarkdown!==null&&await new Promise(resolve2=>requestAnimationFrame(resolve2))}}catch(error2){console.error("Failed to process markdown:",error2),set$1( +renderedBlocks,[],!0),set$1(unstableBlockHtml,markdown2.replace(/\n/g,"
          "),!0)}finally{isProcessing=!1}}}user_effect(()=>{const isDark=derivedMode.current===ColorMode.DARK;loadHighlightTheme(isDark)}),user_effect(()=>{updateRenderedBlocks($$props.content)}),user_effect(()=>{const hasRenderedBlocks=get$3(renderedBlocks).length>0,hasUnstableBlock=!!get$3(unstableBlockHtml);(hasRenderedBlocks||hasUnstableBlock)&&get$3(containerRef)&&(setupCodeBlockActions(),setupImageErrorHandlers())}),user_effect( +()=>{streamingAutoScroll.setContainer(get$3(streamingCodeScrollContainer))}),user_effect(()=>{streamingAutoScroll.updateInterval(get$3(incompleteCodeBlock)!==null)}),onDestroy(()=>{cleanupEventListeners(),cleanupHighlightTheme(),streamingAutoScroll.destroy()});var fragment=root$T(),div=first_child(fragment),node_1=child(div);each(node_1,17,()=>get$3(renderedBlocks),block2=>block2.id,($$anchor2,block2)=>{var div_1=root_1$t();html$6(div_1,()=>get$3(block2).html,!0),reset(div_1),action(div_1,($$node,$$action_arg)=>fadeInView?.( +$$node,$$action_arg),()=>({skipIfVisible:!0})),template_effect(()=>set_attribute(div_1,"data-block-id",get$3(block2).id)),append($$anchor2,div_1)});var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var div_2=root_2$K();html$6(div_2,()=>get$3(unstableBlockHtml),!0),reset(div_2),append($$anchor2,div_2)};if_block(node_2,$$render=>{get$3(unstableBlockHtml)&&$$render(consequent)})}var node_3=sibling(node_2,2);{var consequent_1=$$anchor2=>{var div_3=root_3$C(),div_4=child(div_3),span=child(div_4), +text2=child(span,!0);reset(span);var node_4=sibling(span,2);{let $0=user_derived(()=>get$3(incompleteCodeBlock).language||"text");CodeBlockActions(node_4,{get code(){return get$3(incompleteCodeBlock).code},get language(){return get$3($0)},disabled:!0,onPreview:(code2,lang)=>{set$1(previewCode,code2,!0),set$1(previewLanguage,lang,!0),set$1(previewDialogOpen,!0)}})}reset(div_4);var div_5=sibling(div_4,2),pre=child(div_5),code_1=child(pre);html$6(code_1,()=>highlightCode(get$3(incompleteCodeBlock). +code,get$3(incompleteCodeBlock).language||"text"),!0),reset(code_1),reset(pre),reset(div_5),bind_this(div_5,$$value=>set$1(streamingCodeScrollContainer,$$value),()=>get$3(streamingCodeScrollContainer)),reset(div_3),template_effect(()=>{set_text(text2,get$3(incompleteCodeBlock).language||"text"),set_class(code_1,1,`hljs language-${(get$3(incompleteCodeBlock).language||"text")??""}`,"svelte-wjdxdt")}),event("scroll",div_5,()=>streamingAutoScroll.handleScroll()),append($$anchor2,div_3)};if_block(node_3, +$$render=>{get$3(incompleteCodeBlock)&&$$render(consequent_1)})}reset(div),bind_this(div,$$value=>set$1(containerRef,$$value),()=>get$3(containerRef));var node_5=sibling(div,2);DialogCodePreview(node_5,{get open(){return get$3(previewDialogOpen)},get code(){return get$3(previewCode)},get language(){return get$3(previewLanguage)},onOpenChange:handlePreviewDialogOpenChange}),template_effect($0=>set_class(div,1,`${className()??""}${$0??""}`,"svelte-wjdxdt"),[()=>config$1()[SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS]? +" full-height-code-blocks":""]),append($$anchor,fragment),pop()}var root$S=from_html('
          ');function SyntaxHighlightedCode($$anchor,$$props){push$1($$props,!0);let language2=prop($$props,"language",3,"text"),className=prop($$props,"class",3,""),maxHeight=prop($$props,"maxHeight",3,"60vh"),maxWidth=prop($$props,"maxWidth",3,""),highlightedHtml=state$1("");function loadHighlightTheme(isDark){ document.querySelectorAll("style[data-highlight-theme-preview]").forEach(style3=>style3.remove());const style2=document.createElement("style");style2.setAttribute("data-highlight-theme-preview","true"),style2.textContent=isDark?githubDarkCss:githubLightCss,document.head.appendChild(style2)}user_effect(()=>{const isDark=derivedMode.current===ColorMode.DARK;loadHighlightTheme(isDark)}),user_effect(()=>{if(!$$props.code){set$1(highlightedHtml,"");return}try{const lang=language2().toLowerCase();if(HighlightJS$1. -getLanguage(lang)){const result=HighlightJS$1.highlight($$props.code,{language:lang});set$1(highlightedHtml,result.value,!0)}else{const result=HighlightJS$1.highlightAuto($$props.code);set$1(highlightedHtml,result.value,!0)}}catch{set$1(highlightedHtml,$$props.code.replace(/&/g,"&").replace(//g,">"),!0)}});var div=root$g(),pre=child(div),code_1=child(pre);html$6(code_1,()=>get$3(highlightedHtml),!0),reset(code_1),reset(pre),reset(div),template_effect(()=>{set_class(div, -1,`code-preview-wrapper rounded-lg border border-border bg-muted ${className()??""}`,"svelte-hp0zxr"),set_style(div,`max-height: ${maxHeight()??""}; max-width: ${maxWidth()??""};`)}),append($$anchor,div),pop()}var root_5$7=from_html(' '),root_3$7=from_html('
          Toggle content
          ',1),root_6$6=from_html( -'
          '),root_2$d=from_html(" ",1);function CollapsibleContentBlock($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),className=prop($$props,"class",3,""),iconClass=prop($$props,"iconClass",3,"h-4 w-4"),isStreaming=prop($$props,"isStreaming",3,!1),contentContainer=state$1(void 0);const autoScroll=createAutoScrollController(); +getLanguage(lang)){const result=HighlightJS$1.highlight($$props.code,{language:lang});set$1(highlightedHtml,result.value,!0)}else{const result=HighlightJS$1.highlightAuto($$props.code);set$1(highlightedHtml,result.value,!0)}}catch{set$1(highlightedHtml,$$props.code.replace(/&/g,"&").replace(//g,">"),!0)}});var div=root$S(),pre=child(div),code_1=child(pre);html$6(code_1,()=>get$3(highlightedHtml),!0),reset(code_1),reset(pre),reset(div),template_effect(()=>{set_class(div, +1,`code-preview-wrapper rounded-lg border border-border bg-muted ${className()??""}`,"svelte-hp0zxr"),set_style(div,`max-height: ${maxHeight()??""}; max-width: ${maxWidth()??""};`)}),append($$anchor,div),pop()}var root_5$h=from_html(' '),root_3$B=from_html('
          Toggle content
          ',1),root_6$j=from_html( +'
          '),root_2$J=from_html(" ",1);function CollapsibleContentBlock($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),className=prop($$props,"class",3,""),iconClass=prop($$props,"iconClass",3,"h-4 w-4"),isStreaming=prop($$props,"isStreaming",3,!1),contentContainer=state$1(void 0);const autoScroll=createAutoScrollController(); user_effect(()=>{autoScroll.setContainer(get$3(contentContainer))}),user_effect(()=>{autoScroll.updateInterval(open2()&&isStreaming())});function handleScroll(){autoScroll.handleScroll()}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible,($$anchor2,Collapsible_Root)=>{Collapsible_Root($$anchor2,{get open(){return open2()},onOpenChange:value=>{open2(value),$$props.onToggle?.()},get class(){return className()},children:($$anchor3,$$slotProps)=>{Card($$anchor3,{class:"\ -gap-0 border-muted bg-muted/30 py-0",children:($$anchor4,$$slotProps2)=>{var fragment_2=root_2$d(),node_1=first_child(fragment_2);component(node_1,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5,{class:"flex w-full cursor-pointer items-center justify-between p-3",children:($$anchor6,$$slotProps3)=>{var fragment_3=root_3$7(),div=first_child(fragment_3),node_2=child(div);{var consequent=$$anchor7=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component( -node_3,()=>$$props.icon,($$anchor8,Icon_1)=>{Icon_1($$anchor8,{get class(){return iconClass()}})}),append($$anchor7,fragment_4)};if_block(node_2,$$render=>{$$props.icon&&$$render(consequent)})}var span=sibling(node_2,2),text2=child(span,!0);reset(span);var node_4=sibling(span,2);{var consequent_1=$$anchor7=>{var span_1=root_5$7(),text_1=child(span_1,!0);reset(span_1),template_effect(()=>set_text(text_1,$$props.subtitle)),append($$anchor7,span_1)};if_block(node_4,$$render=>{$$props.subtitle&&$$render( -consequent_1)})}reset(div);var div_1=sibling(div,2),node_5=child(div_1);Chevrons_up_down(node_5,{class:"h-4 w-4"}),next$1(2),reset(div_1),template_effect($0=>{set_text(text2,$$props.title),set_class(div_1,1,$0)},[()=>clsx(buttonVariants({variant:"ghost",size:"sm",class:"h-6 w-6 p-0 text-muted-foreground hover:text-foreground"}))]),append($$anchor6,fragment_3)},$$slots:{default:!0}})});var node_6=sibling(node_1,2);component(node_6,()=>Collapsible_content,($$anchor5,Collapsible_Content)=>{Collapsible_Content( -$$anchor5,{children:($$anchor6,$$slotProps3)=>{var div_2=root_6$6(),node_7=child(div_2);snippet(node_7,()=>$$props.children),reset(div_2),bind_this(div_2,$$value=>set$1(contentContainer,$$value),()=>get$3(contentContainer)),event("scroll",div_2,handleScroll),append($$anchor6,div_2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}let _url=state$1("#/");const settingsReferrer={get url(){return get$3(_url)},set url(value){ -set$1(_url,value,!0)}};var root_2$c=from_html('
          '),root$f=from_html(`

          Settings are saved in browser's localStorage

          `);function SettingsChat($$anchor,$$props){push$1($$props,!0);let activeSlug=user_derived(()=>$$props.initialSection??page$1.params.section??"general"),currentSection=user_derived(()=>SETTINGS_CHAT_SECTIONS.find(section2=>section2.slug===get$3(activeSlug))||SETTINGS_CHAT_SECTIONS[0]),localConfig=state$1(proxy({...config$1()})),mobileHeader; -function handleThemeChange(newTheme){get$3(localConfig).theme=newTheme,setMode(newTheme)}function handleConfigChange(key2,value){get$3(localConfig)[key2]=value}function handleReset(){set$1(localConfig,{...config$1()},!0),setMode(get$3(localConfig).theme),mobileHeader?.updateCarousel()}function handleSave(){if(get$3(localConfig).custom&&typeof get$3(localConfig).custom=="string"&&get$3(localConfig).custom.trim())try{JSON.parse(get$3(localConfig).custom)}catch(error2){alert("Invalid JSON in custom\ - parameters. Please check the format and try again."),console.error(error2);return}const processedConfig={...get$3(localConfig)};for(const field of NUMERIC_FIELDS)if(processedConfig[field]!==void 0&&processedConfig[field]!==""){const numValue=Number(processedConfig[field]);if(!isNaN(numValue))POSITIVE_INTEGER_FIELDS.includes(field)?processedConfig[field]=Math.max(1,Math.round(numValue)):processedConfig[field]=numValue;else{alert(`Invalid numeric value for ${field}. Please enter a valid number.`); -return}}settingsStore.updateMultipleConfig(processedConfig),goto(settingsReferrer.url)}function reset$1(){set$1(localConfig,{...config$1()},!0)}setChatSettingsConfigContext({get localConfig(){return get$3(localConfig)},handleConfigChange,handleThemeChange});var $$exports={reset:reset$1},div=root$f(),div_1=child(div),node2=child(div_1);{let $0=user_derived(()=>$$props.getSectionHref??(section2=>`#/settings/chat/${section2.slug}`));SettingsChatDesktopSidebar(node2,{get sections(){return SETTINGS_CHAT_SECTIONS}, -isActive:section2=>section2.slug===get$3(activeSlug),get getHref(){return get$3($0)}})}var node_1=sibling(node2,2);{let $0=user_derived(()=>$$props.getSectionHref??(section2=>`#/settings/chat/${section2.slug}`));bind_this(SettingsChatMobileHeader(node_1,{get sections(){return SETTINGS_CHAT_SECTIONS},isActive:section2=>section2.slug===get$3(activeSlug),get getHref(){return get$3($0)}}),$$value=>mobileHeader=$$value,()=>mobileHeader)}var div_2=sibling(node_1,2),div_3=child(div_2),div_4=child(div_3), -div_5=child(div_4),node_2=child(div_5);component(node_2,()=>get$3(currentSection).icon,($$anchor2,currentSection_icon)=>{currentSection_icon($$anchor2,{class:"h-5 w-5"})});var h3=sibling(node_2,2),text2=child(h3,!0);reset(h3),reset(div_5);var node_3=sibling(div_5,2);{var consequent=$$anchor2=>{ChatSettingsToolsTab($$anchor2,{})},consequent_1=$$anchor2=>{var div_6=root_2$c(),node_4=child(div_6);ChatSettingsFields(node_4,{get fields(){return get$3(currentSection).fields},get localConfig(){return get$3( -localConfig)},onConfigChange:handleConfigChange,onThemeChange:handleThemeChange}),reset(div_6),append($$anchor2,div_6)};if_block(node_3,$$render=>{get$3(currentSection).title===SETTINGS_SECTION_TITLES.TOOLS?$$render(consequent):get$3(currentSection).fields&&$$render(consequent_1,1)})}reset(div_4),next$1(2),reset(div_3);var node_5=sibling(div_3,2);return ChatSettingsFooter(node_5,{onReset:handleReset,onSave:handleSave}),reset(div_2),reset(div_1),reset(div),template_effect(()=>set_text(text2,get$3( -currentSection).title)),transition(1,div,()=>fade,()=>({duration:150})),append($$anchor,div),pop($$exports)}var root_2$b=from_html(' '),root_3$6=from_html(''),root$e=from_html('');function SettingsChatDesktopSidebar($$anchor,$$props){ -push$1($$props,!0);var div=root$e(),div_1=child(div),node2=child(div_1);Settings$1(node2,{class:"h-6 w-6"}),next$1(2),reset(div_1);var nav=sibling(div_1,2);each(nav,21,()=>$$props.sections,section2=>section2.title,($$anchor2,section2)=>{var fragment=comment$2(),node_1=first_child(fragment);{var consequent=$$anchor3=>{var a=root_2$b(),node_2=child(a);component(node_2,()=>get$3(section2).icon,($$anchor4,section_icon)=>{section_icon($$anchor4,{class:"h-4 w-4"})});var span=sibling(node_2,2),text2=child( -span,!0);reset(span),reset(a),template_effect(($0,$1)=>{set_class(a,1,`flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm no-underline transition-colors hover:bg-accent ${$0??""}`),set_attribute(a,"href",$1),set_text(text2,get$3(section2).title)},[()=>$$props.isActive(get$3(section2))?"bg-accent text-accent-foreground":"text-muted-foreground",()=>$$props.getHref(get$3(section2))]),append($$anchor3,a)},alternate=$$anchor3=>{var button=root_3$6(),node_3=child(button); -component(node_3,()=>get$3(section2).icon,($$anchor4,section_icon_1)=>{section_icon_1($$anchor4,{class:"h-4 w-4"})});var span_1=sibling(node_3,2),text_1=child(span_1,!0);reset(span_1),reset(button),template_effect($0=>{set_class(button,1,`flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm transition-colors hover:bg-accent ${$0??""}`),set_text(text_1,get$3(section2).title)},[()=>$$props.isActive(get$3(section2))?"bg-accent text-accent-foreground":"text-muted-fore\ -ground"]),delegated("click",button,()=>$$props.onSectionChange?.(get$3(section2).title)),append($$anchor3,button)};if_block(node_1,$$render=>{$$props.getHref?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment)}),reset(nav),reset(div),append($$anchor,div),pop()}delegate(["click"]);function useScrollCarousel(){let canScrollLeft=state$1(!1),canScrollRight=state$1(!1),scrollContainer=state$1(void 0);function scrollToCenter(element2){if(!get$3(scrollContainer))return;const containerRect=get$3( -scrollContainer).getBoundingClientRect(),elementRect=element2.getBoundingClientRect(),elementCenter=elementRect.left+elementRect.width/2,containerCenter=containerRect.left+containerRect.width/2,scrollOffset=elementCenter-containerCenter;get$3(scrollContainer).scrollBy({left:scrollOffset,behavior:"smooth"})}function scrollLeft(){get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:-250,behavior:"smooth"})}function scrollRight(){get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:250, -behavior:"smooth"})}function updateScrollButtons(){if(!get$3(scrollContainer))return;const{scrollLeft:sl,scrollWidth,clientWidth}=get$3(scrollContainer);set$1(canScrollLeft,sl>0),set$1(canScrollRight,sl{get$3(scrollContainer)&&updateScrollButtons()}),{get canScrollLeft(){return get$3(canScrollLeft)},get canScrollRight(){return get$3(canScrollRight)},get scrollContainer(){return get$3(scrollContainer)},set scrollContainer(el){set$1(scrollContainer, -el,!0)},scrollToCenter,scrollLeft,scrollRight,updateScrollButtons}}var root_2$a=from_html(" "),root_3$5=from_html(""),root$d=from_html('

          Settings

          ');function SettingsChatMobileHeader($$anchor,$$props){push$1($$props,!0);const carousel=useScrollCarousel();onMount$1(async()=>{if(await tick(),carousel.scrollContainer){const activeTab=carousel.scrollContainer.querySelector('[data-active="true"]');activeTab instanceof HTMLElement&&carousel. -scrollToCenter(activeTab)}});function updateCarousel(){setTimeout(carousel.updateScrollButtons,100)}var $$exports={updateCarousel},div=root$d(),div_1=child(div),node2=child(div_1);Settings$1(node2,{class:"h-5 w-5 md:h-6 md:w-6"}),next$1(2),reset(div_1);var div_2=sibling(div_1,2),div_3=child(div_2),button=child(div_3),node_1=child(button);Chevron_left(node_1,{class:"h-4 w-4"}),reset(button);var div_4=sibling(button,2),div_5=child(div_4);each(div_5,21,()=>$$props.sections,section2=>section2.title, -($$anchor2,section2)=>{var fragment=comment$2(),node_2=first_child(fragment);{var consequent=$$anchor3=>{var a=root_2$a(),node_3=child(a);component(node_3,()=>get$3(section2).icon,($$anchor4,section_icon)=>{section_icon($$anchor4,{class:"h-4 w-4 flex-shrink-0"})});var span=sibling(node_3,2),text2=child(span,!0);reset(span),reset(a),template_effect(($0,$1,$2)=>{set_class(a,1,`flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-nowrap no-underline transition-colors first\ -:ml-4 last:mr-4 hover:bg-accent ${$0??""}`),set_attribute(a,"data-active",$1),set_attribute(a,"href",$2),set_text(text2,get$3(section2).title)},[()=>$$props.isActive(get$3(section2))?"bg-accent text-accent-foreground":"text-muted-foreground",()=>$$props.isActive(get$3(section2)),()=>$$props.getHref(get$3(section2))]),delegated("click",a,e=>{carousel.scrollToCenter(e.currentTarget)}),append($$anchor3,a)},alternate=$$anchor3=>{var button_1=root_3$5(),node_4=child(button_1);component(node_4,()=>get$3( -section2).icon,($$anchor4,section_icon_1)=>{section_icon_1($$anchor4,{class:"h-4 w-4 flex-shrink-0"})});var span_1=sibling(node_4,2),text_1=child(span_1,!0);reset(span_1),reset(button_1),template_effect(($0,$1)=>{set_class(button_1,1,`flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-nowrap transition-colors first:ml-4 last:mr-4 hover:bg-accent ${$0??""}`),set_attribute(button_1,"data-active",$1),set_text(text_1,get$3(section2).title)},[()=>$$props.isActive(get$3(section2))? -"bg-accent text-accent-foreground":"text-muted-foreground",()=>$$props.isActive(get$3(section2))]),delegated("click",button_1,e=>{$$props.onSectionChange?.(get$3(section2).title),carousel.scrollToCenter(e.currentTarget)}),append($$anchor3,button_1)};if_block(node_2,$$render=>{$$props.getHref?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment)}),reset(div_5),reset(div_4),bind_this(div_4,$$value=>carousel.scrollContainer=$$value,()=>carousel?.scrollContainer);var button_2=sibling( -div_4,2),node_5=child(button_2);return Chevron_right(node_5,{class:"h-4 w-4"}),reset(button_2),reset(div_3),reset(div_2),reset(div),template_effect(()=>{set_class(button,1,`absolute left-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:bg-accent ${carousel.canScrollLeft?"opacity-100":"pointer-events-none opacity-0"}`),set_class(button_2,1,`absolute right-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted \ -shadow-md backdrop-blur-sm transition-opacity hover:bg-accent ${carousel.canScrollRight?"opacity-100":"pointer-events-none opacity-0"}`)}),delegated("click",button,function(...$$args){carousel.scrollLeft?.apply(this,$$args)}),event("scroll",div_4,function(...$$args){carousel.updateScrollButtons?.apply(this,$$args)}),delegated("click",button_2,function(...$$args){carousel.scrollRight?.apply(this,$$args)}),append($$anchor,div),pop($$exports)}delegate(["click"]);const summaryList=($$anchor,show=noop$3,verb=noop$3,items2=noop$3)=>{ -var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var div=root_2$9(),h5=child(div),text_1=child(h5);reset(h5);var ul=sibling(h5,2),node_1=child(ul);each(node_1,17,()=>items2().slice(0,10),conv=>conv.id,($$anchor3,conv)=>{var li2=root_3$4(),text_2=child(li2);reset(li2),template_effect(()=>set_text(text_2,`• ${(get$3(conv).name||"Untitled conversation")??""}`)),append($$anchor3,li2)});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var li_1=root_4$4(),text_3=child( -li_1);reset(li_1),template_effect(()=>set_text(text_3,`... and ${items2().length-10} more`)),append($$anchor3,li_1)};if_block(node_2,$$render=>{items2().length>10&&$$render(consequent)})}reset(ul),reset(div),template_effect(()=>set_text(text_1,`${verb()??""} - ${items2().length??""} conversation${items2().length===1?"":"s"}`)),append($$anchor2,div)};if_block(node2,$$render=>{show()&&items2().length>0&&$$render(consequent_1)})}append($$anchor,fragment)},section=($$anchor,title2=noop$3,description2=noop$3,Icon2=noop$3,buttonText=noop$3,onclick=noop$3,opts=noop$3)=>{const buttonClass=user_derived(()=>opts()?.buttonClass??"justify-start justify-self-start md:w-auto"),buttonVariant=user_derived(()=>opts()?.buttonVariant??"outline");var div_1=root_5$6(), -h4=child(div_1),text_4=child(h4,!0);reset(h4);var p2=sibling(h4,2),text_5=child(p2,!0);reset(p2);var node_3=sibling(p2,2);Button(node_3,{get class(){return get$3(buttonClass)},get onclick(){return onclick()},get variant(){return get$3(buttonVariant)},children:($$anchor2,$$slotProps)=>{var fragment_1=root_6$5(),node_4=first_child(fragment_1);component(node_4,Icon2,($$anchor3,Icon_1)=>{Icon_1($$anchor3,{class:"mr-2 h-4 w-4"})});var text_6=sibling(node_4);template_effect(()=>set_text(text_6,` ${buttonText()?? -""}`)),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_5=sibling(node_3,2);{var consequent_2=$$anchor2=>{summaryList($$anchor2,()=>opts().summary.show,()=>opts().summary.verb,()=>opts().summary.items)};if_block(node_5,$$render=>{opts()?.summary&&$$render(consequent_2)})}reset(div_1),template_effect(()=>{set_class(div_1,1,`grid gap-1 ${opts()?.wrapperClass??""??""}`),set_class(h4,1,`mt-0 mb-2 text-sm font-medium ${opts()?.titleClass??""??""}`),set_text(text_4,title2()),set_text(text_5, -description2())}),append($$anchor,div_1)};var root_3$4=from_html('
          • '),root_4$4=from_html('
          • '),root_2$9=from_html('
          '),root_6$5=from_html(" ",1),root_5$6=from_html('

          '),root$c=from_html('

          Import / Export

          ',1);function SettingsImportExport($$anchor,$$props){push$1($$props,!0);let exportedConversations=state$1(proxy([])),importedConversations=state$1(proxy([])),showExportSummary=state$1(!1),showImportSummary=state$1(!1),showExportDialog=state$1(!1),showImportDialog=state$1(!1),availableConversations=state$1( -proxy([])),messageCountMap=state$1(proxy(new Map)),fullImportData=state$1(proxy([])),showDeleteDialog=state$1(!1);async function handleExportClick(){try{const allConversations=conversations();if(allConversations.length===0){toast.info("No conversations to export");return}const conversationsWithMessages=await Promise.all(allConversations.map(async conv=>{const messages=await conversationsStore.getConversationMessages(conv.id);return{conv,messages}}));set$1(messageCountMap,createMessageCountMap(conversationsWithMessages), -!0),set$1(availableConversations,allConversations,!0),set$1(showExportDialog,!0)}catch(err){console.error("Failed to load conversations:",err),alert("Failed to load conversations")}}async function handleExportConfirm(selectedConversations){try{const allData=await Promise.all(selectedConversations.map(async conv=>{const messages=await conversationsStore.getConversationMessages(conv.id);return{conv:snapshot(conv),messages:snapshot(messages)}}));conversationsStore.downloadConversationFile(allData), -set$1(exportedConversations,selectedConversations,!0),set$1(showExportSummary,!0),set$1(showImportSummary,!1),set$1(showExportDialog,!1)}catch(err){console.error("Export failed:",err),alert("Failed to export conversations")}}async function handleImportClick(){try{const input=document.createElement("input");input.type=HtmlInputType.FILE,input.accept=FileExtensionText.JSON,input.onchange=async e=>{const file=e.target?.files?.[0];if(file)try{const text2=await file.text(),parsedData=JSON.parse(text2); -let importedData;if(Array.isArray(parsedData))importedData=parsedData;else if(parsedData&&typeof parsedData=="object"&&"conv"in parsedData&&"messages"in parsedData)importedData=[parsedData];else throw new Error("Invalid file format: expected array of conversations or single conversation object");set$1(fullImportData,importedData,!0),set$1(availableConversations,importedData.map(item=>item.conv),!0),set$1(messageCountMap,createMessageCountMap(importedData),!0),set$1(showImportDialog,!0)}catch(err){ -const message=err instanceof Error?err.message:"Unknown error";console.error("Failed to parse file:",err),alert(`Failed to parse file: ${message}`)}},input.click()}catch(err){console.error("Import failed:",err),alert("Failed to import conversations")}}async function handleImportConfirm(selectedConversations){try{const selectedIds=new Set(selectedConversations.map(c2=>c2.id)),selectedData=snapshot(get$3(fullImportData)).filter(item=>selectedIds.has(item.conv.id));await conversationsStore.importConversationsData( -selectedData),set$1(importedConversations,selectedConversations,!0),set$1(showImportSummary,!0),set$1(showExportSummary,!1),set$1(showImportDialog,!1)}catch(err){console.error("Import failed:",err),alert("Failed to import conversations. Please check the file format.")}}async function handleDeleteAllClick(){try{if(conversations().length===0){toast.info("No conversations to delete");return}set$1(showDeleteDialog,!0)}catch(err){console.error("Failed to load conversations for deletion:",err),toast.error( -"Failed to load conversations")}}async function handleDeleteAllConfirm(){try{await conversationsStore.deleteAll(),set$1(showDeleteDialog,!1)}catch(err){console.error("Failed to delete conversations:",err)}}function handleDeleteAllCancel(){set$1(showDeleteDialog,!1)}var fragment_3=root$c(),div_2=first_child(fragment_3),div_3=child(div_2),node_6=child(div_3);Database(node_6,{class:"h-5 w-5 md:h-6 md:w-6"}),next$1(2),reset(div_3);var div_4=sibling(div_3,2),node_7=child(div_4);section(node_7,()=>"Ex\ -port Conversations",()=>"Download all your conversations as a JSON file. This includes all messages, attachments, and conversation history.",()=>Download,()=>"Export conversations",()=>handleExportClick,()=>({summary:{show:get$3(showExportSummary),verb:"Exported",items:get$3(exportedConversations)}}));var node_8=sibling(node_7,2);section(node_8,()=>"Import Conversations",()=>"Import one or more conversations from a previously exported JSON file. This will merge with your existing conversations.", -()=>Upload,()=>"Import conversations",()=>handleImportClick,()=>({wrapperClass:"border-t border-border/30 pt-6",summary:{show:get$3(showImportSummary),verb:"Imported",items:get$3(importedConversations)}}));var node_9=sibling(node_8,2);section(node_9,()=>"Delete All Conversations",()=>"Permanently delete all conversations and their messages. This action cannot be undone. Consider exporting your conversations first if you want to keep a backup.",()=>Trash_2,()=>"Delete all conversations",()=>handleDeleteAllClick, -()=>({wrapperClass:"border-t border-border/30 pt-4",titleClass:"text-destructive",buttonVariant:"destructive",buttonClass:"text-destructive-foreground justify-start justify-self-start bg-destructive hover:bg-destructive/80 md:w-auto"})),reset(div_4),reset(div_2);var node_10=sibling(div_2,2);DialogConversationSelection(node_10,{get conversations(){return get$3(availableConversations)},get messageCountMap(){return get$3(messageCountMap)},get mode(){return ConversationSelectionMode.EXPORT},onCancel:()=>set$1( -showExportDialog,!1),onConfirm:handleExportConfirm,get open(){return get$3(showExportDialog)},set open($$value){set$1(showExportDialog,$$value,!0)}});var node_11=sibling(node_10,2);DialogConversationSelection(node_11,{get conversations(){return get$3(availableConversations)},get messageCountMap(){return get$3(messageCountMap)},get mode(){return ConversationSelectionMode.IMPORT},onCancel:()=>set$1(showImportDialog,!1),onConfirm:handleImportConfirm,get open(){return get$3(showImportDialog)},set open($$value){ -set$1(showImportDialog,$$value,!0)}});var node_12=sibling(node_11,2);DialogConfirmation(node_12,{title:"Delete all conversations",description:"Are you sure you want to delete all conversations? This action cannot be undone and will permanently remove all your conversations and messages.",confirmText:"Delete All",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleDeleteAllConfirm,onCancel:handleDeleteAllCancel,get open(){return get$3(showDeleteDialog)},set open($$value){ -set$1(showDeleteDialog,$$value,!0)}}),transition(1,div_2,()=>fade,()=>({duration:150})),append($$anchor,fragment_3),pop()}function filterModelOptions(options,searchTerm){const term=searchTerm.trim().toLowerCase();return term?options.filter(option2=>option2.model.toLowerCase().includes(term)||option2.name?.toLowerCase().includes(term)||option2.aliases?.some(alias=>alias.toLowerCase().includes(term))||option2.tags?.some(tag=>tag.toLowerCase().includes(term))):options}function groupModelOptions(filteredOptions,favoriteIds,isModelLoaded){ -const loaded=[];for(let i=0;iitem.option.model)),favorites=[];for(let i=0;imodelOptions().filter(option2=>modelsStore.getModelProps(option2. -model)?.webui!==!1)),loading=user_derived(modelsLoading),updating=user_derived(modelsUpdating),activeId=user_derived(selectedModelId),isRouter=user_derived(isRouterMode),serverModel=user_derived(singleModelName),currentModel=user_derived(()=>opts.currentModel()),useGlobalSelection=user_derived(()=>opts.useGlobalSelection?.()??!1),onModelChange=user_derived(()=>opts.onModelChange?.()),isHighlightedCurrentModelActive=user_derived(()=>{if(!get$3(isRouter)||!get$3(currentModel))return!1;const currentOption=get$3( -options).find(option2=>option2.model===get$3(currentModel));return currentOption?currentOption.id===get$3(activeId):!1}),isCurrentModelInCache=user_derived(()=>!get$3(isRouter)||!get$3(currentModel)?!0:get$3(options).some(option2=>option2.model===get$3(currentModel)));let isLoadingModel=state$1(!1),searchTerm=state$1(""),showModelDialog=state$1(!1),infoModelId=state$1(null);const filteredOptions=user_derived(()=>filterModelOptions(get$3(options),get$3(searchTerm))),groupedFilteredOptions=user_derived( -()=>groupModelOptions(get$3(filteredOptions),modelsStore.favoriteModelIds,m=>modelsStore.isModelLoaded(m)));function handleInfoClick(modelName){set$1(infoModelId,modelName,!0),set$1(showModelDialog,!0)}onMount$1(()=>{modelsStore.fetch().catch(error2=>{console.error("Unable to load models:",error2)})});function handleOpenChange(open2){get$3(loading)||get$3(updating)||(get$3(isRouter)?(set$1(searchTerm,""),open2&&modelsStore.fetchRouterModels().then(()=>{modelsStore.fetchModalitiesForLoadedModels()}), -opts.onOpenChange?.(open2)):set$1(showModelDialog,open2,!0))}async function handleSelect(modelId){const option2=get$3(options).find(opt=>opt.id===modelId);if(!option2)return;let shouldCloseMenu=!0;get$3(onModelChange)?await get$3(onModelChange)(option2.id,option2.model)===!1&&(shouldCloseMenu=!1):await modelsStore.selectModelById(option2.id),shouldCloseMenu&&(handleOpenChange(!1),requestAnimationFrame(()=>{document.querySelector('[data-slot="chat-form"] textarea')?.focus()})),!get$3(onModelChange)&& -get$3(isRouter)&&!modelsStore.isModelLoaded(option2.model)&&(set$1(isLoadingModel,!0),modelsStore.loadModel(option2.model).catch(error2=>console.error("Failed to load model:",error2)).finally(()=>set$1(isLoadingModel,!1)))}function getDisplayOption(){if(!get$3(isRouter)){const displayModel=get$3(serverModel)||get$3(currentModel);return displayModel?{id:get$3(serverModel)?"current":"offline-current",model:displayModel,name:displayModel.split("/").pop()||displayModel,capabilities:[]}:void 0}if(get$3( -useGlobalSelection)&&get$3(activeId)){const selected=get$3(options).find(option2=>option2.id===get$3(activeId));if(selected)return selected}if(get$3(currentModel))return get$3(isCurrentModelInCache)?get$3(options).find(option2=>option2.model===get$3(currentModel)):{id:"not-in-cache",model:get$3(currentModel),name:get$3(currentModel).split("/").pop()||get$3(currentModel),capabilities:[]};if(get$3(activeId))return get$3(options).find(option2=>option2.id===get$3(activeId))}return{get options(){return get$3( -options)},get loading(){return get$3(loading)},get updating(){return get$3(updating)},get activeId(){return get$3(activeId)},get isRouter(){return get$3(isRouter)},get serverModel(){return get$3(serverModel)},get isHighlightedCurrentModelActive(){return get$3(isHighlightedCurrentModelActive)},get isCurrentModelInCache(){return get$3(isCurrentModelInCache)},get filteredOptions(){return get$3(filteredOptions)},get groupedFilteredOptions(){return get$3(groupedFilteredOptions)},get isLoadingModel(){ -return get$3(isLoadingModel)},get searchTerm(){return get$3(searchTerm)},get showModelDialog(){return get$3(showModelDialog)},get infoModelId(){return get$3(infoModelId)},setSearchTerm(value){set$1(searchTerm,value,!0)},setShowModelDialog(value){set$1(showModelDialog,value,!0)},handleInfoClick,handleSelect,handleOpenChange,isFavorite(model){return modelsStore.favoriteModelIds.has(model)},getDisplayOption}}var root_1$5=from_html('
          \ - Loading models…
          '),root_3$3=from_html(' '),root_4$3=from_html('

          No models available.

          '),root_12$1=from_html('

          '),root_10$2=from_html(" ",1),root_13=from_html('Select model'),root_8$4=from_html(" ",1),root_19$1=from_html(''),root_20=from_html('

          No models found.

          '),root_17$1=from_html('
          '),root_7$5=from_html(" ",1),root_25=from_html('

          '),root_23=from_html(" ",1),root_21=from_html( -''),root$b=from_html("
          ",1);function ModelsSelectorDropdown($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop($$props,"currentModel",3,null),disabled=prop($$props,"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),isOpen=state$1(!1),highlightedIndex=state$1(-1);const ms=useModelsSelector( -{currentModel:()=>currentModel(),useGlobalSelection:()=>useGlobalSelection(),onModelChange:()=>$$props.onModelChange,onOpenChange:open3=>{set$1(isOpen,open3,!0),set$1(highlightedIndex,-1)}});user_effect(()=>{ms.searchTerm,set$1(highlightedIndex,-1)});function open2(){ms.handleOpenChange(!0)}function handleSearchKeyDown(event2){if(!event2.isComposing){if(event2.key===KeyboardKey.ARROW_DOWN){if(event2.preventDefault(),ms.filteredOptions.length===0)return;get$3(highlightedIndex)===-1||get$3(highlightedIndex)=== -ms.filteredOptions.length-1?set$1(highlightedIndex,0):set$1(highlightedIndex,get$3(highlightedIndex)+1)}else if(event2.key===KeyboardKey.ARROW_UP){if(event2.preventDefault(),ms.filteredOptions.length===0)return;get$3(highlightedIndex)===-1||get$3(highlightedIndex)===0?set$1(highlightedIndex,ms.filteredOptions.length-1):set$1(highlightedIndex,get$3(highlightedIndex)-1)}else if(event2.key===KeyboardKey.ENTER)if(event2.preventDefault(),get$3(highlightedIndex)>=0&&get$3(highlightedIndex)0&&set$1(highlightedIndex,0)}}var $$exports={open:open2},fragment=root$b(),div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$5(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2,div_1)},consequent_2=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{ -var consequent_1=$$anchor3=>{var span=root_3$3(),node_3=child(span);Package(node_3,{class:"h-3.5 w-3.5"});var node_4=sibling(node_3,2);ModelId(node_4,{get modelId(){return currentModel()},class:"min-w-0",hideQuantization:!0}),reset(span),template_effect($0=>set_class(span,1,$0),[()=>clsx(cn$1("inline-flex items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs text-muted-foreground",className()))]),append($$anchor3,span)},alternate=$$anchor3=>{var p2=root_4$3();append($$anchor3, -p2)};if_block(node_2,$$render=>{currentModel()?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)},alternate_4=$$anchor2=>{const selectedOption=user_derived(()=>ms.getDisplayOption());var fragment_2=comment$2(),node_5=first_child(fragment_2);{var consequent_7=$$anchor3=>{var fragment_3=comment$2(),node_6=first_child(fragment_3);component(node_6,()=>Root$2,($$anchor4,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor4,{get onOpenChange(){return ms.handleOpenChange},get open(){ -return get$3(isOpen)},set open($$value){set$1(isOpen,$$value,!0)},children:($$anchor5,$$slotProps)=>{var fragment_4=root_7$5(),node_7=first_child(fragment_4);{let $0=user_derived(()=>cn$1("inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60",ms.isCurrentModelInCache? -forceForegroundText()||ms.isHighlightedCurrentModelActive?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(isOpen)?"text-foreground":"","max-w-[min(calc(100vw-4rem) md:max-w-[min(calc(100cqw-9rem),25rem)]")),$1=user_derived(()=>disabled()||ms.updating);component(node_7,()=>Dropdown_menu_trigger,($$anchor6,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor6,{get class(){return get$3($0)},get disabled(){return get$3($1)},children:($$anchor7,$$slotProps2)=>{ -var fragment_5=root_8$4(),node_8=first_child(fragment_5);Package(node_8,{class:"h-3.5 w-3.5"});var node_9=sibling(node_8,2);{var consequent_3=$$anchor8=>{var fragment_6=comment$2(),node_10=first_child(fragment_6);component(node_10,()=>Root$5,($$anchor9,Tooltip_Root)=>{Tooltip_Root($$anchor9,{children:($$anchor10,$$slotProps3)=>{var fragment_7=root_10$2(),node_11=first_child(fragment_7);{const child2=($$anchor11,$$arg0)=>{ModelId($$anchor11,spread_props({get modelId(){return get$3(selectedOption). -model},class:"min-w-0 overflow-hidden",hideOrgName:!1},()=>$$arg0?.().props))};component(node_11,()=>Tooltip_trigger,($$anchor11,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor11,{child:child2,$$slots:{child:!0}})})}var node_12=sibling(node_11,2);component(node_12,()=>Tooltip_content,($$anchor11,Tooltip_Content)=>{Tooltip_Content($$anchor11,{children:($$anchor12,$$slotProps4)=>{var p_1=root_12$1(),text2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text2,get$3(selectedOption).model)),append( -$$anchor12,p_1)},$$slots:{default:!0}})}),append($$anchor10,fragment_7)},$$slots:{default:!0}})}),append($$anchor8,fragment_6)},alternate_1=$$anchor8=>{var span_1=root_13();append($$anchor8,span_1)};if_block(node_9,$$render=>{get$3(selectedOption)?$$render(consequent_3):$$render(alternate_1,-1)})}var node_13=sibling(node_9,2);{var consequent_4=$$anchor8=>{Loader_circle($$anchor8,{class:"h-3 w-3.5 animate-spin"})},alternate_2=$$anchor8=>{Chevron_down($$anchor8,{class:"h-3 w-3.5"})};if_block(node_13, -$$render=>{ms.updating||ms.isLoadingModel?$$render(consequent_4):$$render(alternate_2,-1)})}append($$anchor7,fragment_5)},$$slots:{default:!0}})})}var node_14=sibling(node_7,2);component(node_14,()=>Dropdown_menu_content,($$anchor6,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor6,{align:"end",class:"w-full max-w-[100vw] pt-0 sm:w-max sm:max-w-[calc(100vw-2rem)]",children:($$anchor7,$$slotProps2)=>{{let $0=user_derived(()=>ms.filteredOptions.length===0&&ms.isCurrentModelInCache);DropdownMenuSearchable( -$$anchor7,{get searchValue(){return ms.searchTerm},onSearchChange:v=>ms.setSearchTerm(v),placeholder:"Search models...",onSearchKeyDown:handleSearchKeyDown,emptyMessage:"No models found.",get isEmpty(){return get$3($0)},children:($$anchor8,$$slotProps3)=>{var div_2=root_17$1();{const modelOption=($$anchor9,item=noop$3,hideOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2,flatIndex}=item();return{option:option2,flatIndex}}),isSelected=user_derived(()=>currentModel()=== -get$3(computed_const).option.model||ms.activeId===get$3(computed_const).option.id),isHighlighted=user_derived(()=>get$3(computed_const).flatIndex===get$3(highlightedIndex)),isFav=user_derived(()=>ms.isFavorite(get$3(computed_const).option.model));ModelsSelectorOption($$anchor9,{get option(){return get$3(computed_const).option},get isSelected(){return get$3(isSelected)},get isHighlighted(){return get$3(isHighlighted)},get isFav(){return get$3(isFav)},get hideOrgName(){return hideOrgName()},get onSelect(){ -return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick},onMouseEnter:()=>set$1(highlightedIndex,get$3(computed_const).flatIndex,!0),onKeyDown:e=>{(e.key===KeyboardKey.ENTER||e.key===KeyboardKey.SPACE)&&(e.preventDefault(),ms.handleSelect(get$3(computed_const).option.id))}})};var node_15=child(div_2);{var consequent_5=$$anchor9=>{var button=root_19$1(),node_16=child(button);ModelId(node_16,{get modelId(){return currentModel()},class:"flex-1",hideQuantization:!0}),next$1(2),reset(button), -append($$anchor9,button)};if_block(node_15,$$render=>{!ms.isCurrentModelInCache&¤tModel()&&$$render(consequent_5)})}var node_17=sibling(node_15,2);{var consequent_6=$$anchor9=>{var p_2=root_20();append($$anchor9,p_2)};if_block(node_17,$$render=>{ms.filteredOptions.length===0&&$$render(consequent_6)})}var node_18=sibling(node_17,2);ModelsSelectorList(node_18,{get groups(){return ms.groupedFilteredOptions},get currentModel(){return currentModel()},get activeId(){return ms.activeId},sectionHeaderClass:"\ -my-1.5 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none",get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick},get renderOption(){return modelOption}}),reset(div_2)}append($$anchor8,div_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})}),append($$anchor5,fragment_4)},$$slots:{default:!0}})}),append($$anchor3,fragment_3)},alternate_3=$$anchor3=>{var button_1=root_21(),node_19=child(button_1);Package(node_19,{class:"h-3.5 w-3.5"});var node_20=sibling( -node_19,2);{var consequent_8=$$anchor4=>{var fragment_13=comment$2(),node_21=first_child(fragment_13);component(node_21,()=>Root$5,($$anchor5,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor5,{children:($$anchor6,$$slotProps)=>{var fragment_14=root_23(),node_22=first_child(fragment_14);{const child2=($$anchor7,$$arg0)=>{ModelId($$anchor7,spread_props({get modelId(){return get$3(selectedOption).model},class:"min-w-0 overflow-hidden",hideOrgName:!1},()=>$$arg0?.().props))};component(node_22,()=>Tooltip_trigger, -($$anchor7,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor7,{child:child2,$$slots:{child:!0}})})}var node_23=sibling(node_22,2);component(node_23,()=>Tooltip_content,($$anchor7,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor7,{children:($$anchor8,$$slotProps2)=>{var p_3=root_25(),text_1=child(p_3,!0);reset(p_3),template_effect(()=>set_text(text_1,get$3(selectedOption).model)),append($$anchor8,p_3)},$$slots:{default:!0}})}),append($$anchor6,fragment_14)},$$slots:{default:!0}})}),append($$anchor4, -fragment_13)};if_block(node_20,$$render=>{get$3(selectedOption)&&$$render(consequent_8)})}var node_24=sibling(node_20,2);{var consequent_9=$$anchor4=>{Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})};if_block(node_24,$$render=>{ms.updating&&$$render(consequent_9)})}reset(button_1),template_effect($0=>{set_class(button_1,1,$0),button_1.disabled=disabled()||ms.updating},[()=>clsx(cn$1("inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs t\ -ransition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60",ms.isCurrentModelInCache?forceForegroundText()||ms.isHighlightedCurrentModelActive?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(isOpen)?"text-foreground":""))]),delegated("click",button_1,()=>ms.handleOpenChange(!0)),append($$anchor3,button_1)};if_block(node_5, -$$render=>{ms.isRouter?$$render(consequent_7):$$render(alternate_3,-1)})}append($$anchor2,fragment_2)};if_block(node2,$$render=>{ms.loading&&ms.options.length===0&&ms.isRouter?$$render(consequent):ms.options.length===0&&ms.isRouter?$$render(consequent_2,1):$$render(alternate_4,-1)})}reset(div);var node_25=sibling(div,2);{var consequent_10=$$anchor2=>{DialogModelInformation($$anchor2,{get open(){return ms.showModelDialog},onOpenChange:v=>ms.setShowModelDialog(v),get modelId(){return ms.infoModelId}})}; -if_block(node_25,$$render=>{ms.showModelDialog&&$$render(consequent_10)})}return template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("relative inline-flex flex-col items-end gap-1",className()))]),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_2$8=from_html("

          Loaded models

          ",1),root_4$2=from_html("

          Favorite models

          ",1),root_8$3=from_html("

          "),root_7$4=from_html(" ",1),root_6$4=from_html("

          Available models

          ",1),root$a=from_html(" ",1);function ModelsSelectorList($$anchor,$$props){push$1($$props,!0);const defaultOption=($$anchor2,item=noop$3,hideOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2}=item();return{option:option2}}),isSelected=user_derived(()=>$$props.currentModel===get$3(computed_const).option.model||$$props.activeId===get$3(computed_const).option.id),isFav=user_derived(()=>modelsStore.favoriteModelIds.has(get$3(computed_const).option.model));ModelsSelectorOption($$anchor2, -{get option(){return get$3(computed_const).option},get isSelected(){return get$3(isSelected)},isHighlighted:!1,get isFav(){return get$3(isFav)},get hideOrgName(){return hideOrgName()},get onSelect(){return $$props.onSelect},get onInfoClick(){return $$props.onInfoClick},onMouseEnter:()=>{},onKeyDown:()=>{}})};let sectionHeaderClass=prop($$props,"sectionHeaderClass",3,"my-1 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none"),orgHeaderClass=prop($$props,"orgHeaderClass",3,"px\ --2 py-2 text-[11px] font-semibold text-muted-foreground/50 select-none [&:not(:first-child)]:mt-1"),render3=user_derived(()=>$$props.renderOption??defaultOption);var fragment_1=root$a(),node2=first_child(fragment_1);{var consequent=$$anchor2=>{var fragment_2=root_2$8(),p2=first_child(fragment_2),node_1=sibling(p2,2);each(node_1,17,()=>$$props.groups.loaded,item=>`loaded-${item.option.id}`,($$anchor3,item)=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);snippet(node_2,()=>get$3(render3), -()=>get$3(item),()=>!1),append($$anchor3,fragment_3)}),template_effect(()=>set_class(p2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_2)};if_block(node2,$$render=>{$$props.groups.loaded.length>0&&$$render(consequent)})}var node_3=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_4=root_4$2(),p_1=first_child(fragment_4),node_4=sibling(p_1,2);each(node_4,17,()=>$$props.groups.favorites,item=>`fav-${item.option.id}`,($$anchor3,item)=>{var fragment_5=comment$2(),node_5=first_child( -fragment_5);snippet(node_5,()=>get$3(render3),()=>get$3(item),()=>!0),append($$anchor3,fragment_5)}),template_effect(()=>set_class(p_1,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_4)};if_block(node_3,$$render=>{$$props.groups.favorites.length>0&&$$render(consequent_1)})}var node_6=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_6=root_6$4(),p_2=first_child(fragment_6),node_7=sibling(p_2,2);each(node_7,17,()=>$$props.groups.available,group=>group.orgName,($$anchor3,group)=>{ -var fragment_7=root_7$4(),node_8=first_child(fragment_7);{var consequent_2=$$anchor4=>{var p_3=root_8$3(),text2=child(p_3,!0);reset(p_3),template_effect(()=>{set_class(p_3,1,clsx(orgHeaderClass())),set_text(text2,get$3(group).orgName)}),append($$anchor4,p_3)};if_block(node_8,$$render=>{get$3(group).orgName&&$$render(consequent_2)})}var node_9=sibling(node_8,2);each(node_9,17,()=>get$3(group).items,item=>item.option.id,($$anchor4,item)=>{var fragment_8=comment$2(),node_10=first_child(fragment_8); -snippet(node_10,()=>get$3(render3),()=>get$3(item),()=>!0),append($$anchor4,fragment_8)}),append($$anchor3,fragment_7)}),template_effect(()=>set_class(p_2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_6)};if_block(node_6,$$render=>{$$props.groups.available.length>0&&$$render(consequent_3)})}append($$anchor,fragment_1),pop()}var root_5$5=from_html('
          '),root_6$3=from_html('
          '),root_7$3=from_html('
          '),root_8$2=from_html('
          '),root$9=from_html('
          ');function ModelsSelectorOption($$anchor,$$props){push$1($$props,!0);let hideOrgName=prop($$props,"hideOrgName",3,!1),currentRouterModels=user_derived( -routerModels),serverStatus=user_derived(()=>get$3(currentRouterModels).find(m=>m.id===$$props.option.model)?.status?.value??null),isOperationInProgress=user_derived(()=>modelsStore.isModelOperationInProgress($$props.option.model)),isFailed=user_derived(()=>get$3(serverStatus)===ServerModelStatus.FAILED),isSleeping=user_derived(()=>get$3(serverStatus)===ServerModelStatus.SLEEPING),isLoaded=user_derived(()=>(get$3(serverStatus)===ServerModelStatus.LOADED||get$3(isSleeping))&&!get$3(isOperationInProgress)), -isLoading2=user_derived(()=>get$3(serverStatus)===ServerModelStatus.LOADING||get$3(isOperationInProgress));var div=root$9(),node2=child(div);ModelId(node2,{get modelId(){return $$props.option.model},get hideOrgName(){return hideOrgName()},get aliases(){return $$props.option.aliases},get tags(){return $$props.option.tags},class:"flex-1"});var div_1=sibling(node2,2),div_2=child(div_1),node_1=child(div_2);{var consequent=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart_off}, -tooltip:"Remove from favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})},alternate=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart},tooltip:"Add to favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})};if_block(node_1,$$render=>{$$props.isFav?$$render(consequent):$$render(alternate,-1)})}var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ -ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Info$1},tooltip:"Model information",class:"h-3 w-3 hover:text-foreground",onclick:()=>$$props.onInfoClick($$props.option.model)})};if_block(node_2,$$render=>{get$3(isLoaded)&&$$props.onInfoClick&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{Loader_circle($$anchor2,{class:"h-4 w-4 animate-spin text-muted-foreground"})},consequent_3=$$anchor2=>{var div_3=root_5$5(),node_4=child(div_3); -Circle_alert(node_4,{class:"h-3.5 w-3.5 text-red-500 group-hover:hidden"});var div_4=sibling(node_4,2),node_5=child(div_4);ActionIcon(node_5,{iconSize:"h-2.5 w-2.5",get icon(){return Rotate_cw},tooltip:"Retry loading model",class:"h-3 w-3 text-red-500 hover:text-foreground",onclick:()=>modelsStore.loadModel($$props.option.model)}),reset(div_4),reset(div_3),delegated("click",div_4,e=>e.stopPropagation()),append($$anchor2,div_3)},consequent_4=$$anchor2=>{var div_5=root_6$3(),div_6=sibling(child(div_5), -2),node_6=child(div_6);ActionIcon(node_6,{iconSize:"h-2.5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w-3 text-red-500 hover:text-red-600",onclick:e=>{e?.stopPropagation(),modelsStore.unloadModel($$props.option.model)}}),reset(div_6),reset(div_5),append($$anchor2,div_5)},consequent_5=$$anchor2=>{var div_7=root_7$3(),div_8=sibling(child(div_7),2),node_7=child(div_8);ActionIcon(node_7,{iconSize:"h-2.5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w\ --3 text-red-500 hover:text-red-600",onclick:()=>modelsStore.unloadModel($$props.option.model)}),reset(div_8),reset(div_7),delegated("click",div_8,e=>e.stopPropagation()),append($$anchor2,div_7)},alternate_1=$$anchor2=>{var div_9=root_8$2(),div_10=sibling(child(div_9),2),node_8=child(div_10);ActionIcon(node_8,{iconSize:"h-2.5 w-2.5",get icon(){return Power},tooltip:"Load model",class:"h-3 w-3",onclick:()=>modelsStore.loadModel($$props.option.model)}),reset(div_10),reset(div_9),delegated("click",div_10, -e=>e.stopPropagation()),append($$anchor2,div_9)};if_block(node_3,$$render=>{get$3(isLoading2)?$$render(consequent_2):get$3(isFailed)?$$render(consequent_3,1):get$3(isSleeping)?$$render(consequent_4,2):get$3(isLoaded)?$$render(consequent_5,3):$$render(alternate_1,-1)})}reset(div_1),reset(div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"aria-selected",$$props.isSelected||$$props.isHighlighted)},[()=>clsx(cn$1("group flex w-full items-center gap-2 rounded-sm p-2 text-left text-sm tr\ -ansition focus:outline-none","cursor-pointer hover:bg-muted focus:bg-muted",$$props.isSelected||$$props.isHighlighted?"bg-accent text-accent-foreground":"hover:bg-accent hover:text-accent-foreground",get$3(isLoaded)?"text-popover-foreground":"text-muted-foreground"))]),delegated("click",div,()=>$$props.onSelect($$props.option.id)),event("mouseenter",div,function(...$$args){$$props.onMouseEnter?.apply(this,$$args)}),delegated("keydown",div,function(...$$args){$$props.onKeyDown?.apply(this,$$args)}), -delegated("click",div_2,e=>e.stopPropagation()),append($$anchor,div),pop()}delegate(["click","keydown"]);var root_1$4=from_html('
          Loading models…
          '),root_2$7=from_html('

          No models available.

          '),root_5$4=from_html('Select model'),root_11$1=from_html(" ",1),root_14=from_html('
          ',1),root_15$1=from_html('

          No models found.

          '),root_10$1=from_html('
          ',1),root_4$1=from_html(' ',1),root_16=from_html(''),root$8=from_html("
          ",1);function ModelsSelectorSheet($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop($$props,"currentModel",3,null),disabled=prop($$props,"di\ -sabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),sheetOpen=state$1(!1);const ms=useModelsSelector({currentModel:()=>currentModel(),useGlobalSelection:()=>useGlobalSelection(),onModelChange:()=>$$props.onModelChange,onOpenChange:open3=>{set$1(sheetOpen,open3,!0)}});function open2(){ms.handleOpenChange(!0)}function handleSheetOpenChange(open3){open3||ms.handleOpenChange(!1)}var $$exports={open:open2},fragment=root$8(), -div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$4(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2,div_1)},consequent_1=$$anchor2=>{var p2=root_2$7();append($$anchor2,p2)},alternate_3=$$anchor2=>{const selectedOption=user_derived(()=>ms.getDisplayOption());var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_6=$$anchor3=>{var fragment_2=root_4$1(),button=first_child(fragment_2), -node_3=child(button);Package(node_3,{class:"h-3.5 w-3.5"});var node_4=sibling(node_3,2);{var consequent_2=$$anchor4=>{var span=root_5$4();append($$anchor4,span)},alternate=$$anchor4=>{{let $0=user_derived(()=>get$3(selectedOption)?.model||"");ModelId($$anchor4,{class:"text-xs",get modelId(){return get$3($0)},hideQuantization:!0,hideOrgName:!0})}};if_block(node_4,$$render=>{get$3(selectedOption)?$$render(alternate,-1):$$render(consequent_2)})}var node_5=sibling(node_4,2);{var consequent_3=$$anchor4=>{ -Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})},alternate_1=$$anchor4=>{Chevron_down($$anchor4,{class:"h-3 w-3.5"})};if_block(node_5,$$render=>{ms.updating||ms.isLoadingModel?$$render(consequent_3):$$render(alternate_1,-1)})}reset(button);var node_6=sibling(button,2);component(node_6,()=>Root$1,($$anchor4,Sheet_Root)=>{Sheet_Root($$anchor4,{onOpenChange:handleSheetOpenChange,get open(){return get$3(sheetOpen)},set open($$value){set$1(sheetOpen,$$value,!0)},children:($$anchor5,$$slotProps)=>{ -var fragment_6=comment$2(),node_7=first_child(fragment_6);component(node_7,()=>Sheet_content,($$anchor6,Sheet_Content)=>{Sheet_Content($$anchor6,{side:"bottom",class:"max-h-[85vh] gap-1",children:($$anchor7,$$slotProps2)=>{var fragment_7=root_10$1(),node_8=first_child(fragment_7);component(node_8,()=>Sheet_header,($$anchor8,Sheet_Header)=>{Sheet_Header($$anchor8,{children:($$anchor9,$$slotProps3)=>{var fragment_8=root_11$1(),node_9=first_child(fragment_8);component(node_9,()=>Sheet_title,($$anchor10,Sheet_Title)=>{ -Sheet_Title($$anchor10,{children:($$anchor11,$$slotProps4)=>{next$1();var text2=text$8("Select Model");append($$anchor11,text2)},$$slots:{default:!0}})});var node_10=sibling(node_9,2);component(node_10,()=>Sheet_description,($$anchor10,Sheet_Description)=>{Sheet_Description($$anchor10,{class:"sr-only",children:($$anchor11,$$slotProps4)=>{next$1();var text_1=text$8("Choose a model to use for the conversation");append($$anchor11,text_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_8)},$$slots:{ -default:!0}})});var div_2=sibling(node_8,2),div_3=child(div_2),node_11=child(div_3);SearchInput(node_11,{placeholder:"Search models...",get value(){return ms.searchTerm},onInput:v=>ms.setSearchTerm(v)}),reset(div_3);var div_4=sibling(div_3,2),node_12=child(div_4);{var consequent_4=$$anchor8=>{var fragment_9=root_14(),button_1=first_child(fragment_9),span_1=child(button_1),text_2=child(span_1,!0);reset(span_1),next$1(2),reset(button_1),next$1(2),template_effect(()=>set_text(text_2,get$3(selectedOption)?. -name||currentModel())),append($$anchor8,fragment_9)};if_block(node_12,$$render=>{!ms.isCurrentModelInCache&¤tModel()&&$$render(consequent_4)})}var node_13=sibling(node_12,2);{var consequent_5=$$anchor8=>{var p_1=root_15$1();append($$anchor8,p_1)};if_block(node_13,$$render=>{ms.filteredOptions.length===0&&$$render(consequent_5)})}var node_14=sibling(node_13,2);ModelsSelectorList(node_14,{get groups(){return ms.groupedFilteredOptions},get currentModel(){return currentModel()},get activeId(){ -return ms.activeId},sectionHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none",orgHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none [&:not(:first-child)]:mt-2",get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick}}),reset(div_4),reset(div_2),append($$anchor7,fragment_7)},$$slots:{default:!0}})}),append($$anchor5,fragment_6)},$$slots:{default:!0}})}),template_effect($0=>{set_class(button,1,$0),button.disabled= -disabled()||ms.updating},[()=>clsx(cn$1("inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60",ms.isCurrentModelInCache?forceForegroundText()||ms.isHighlightedCurrentModelActive?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hove\ -r:bg-red-400/20 hover:text-red-400",get$3(sheetOpen)?"text-foreground":""))]),delegated("click",button,()=>ms.handleOpenChange(!0)),append($$anchor3,fragment_2)},alternate_2=$$anchor3=>{var button_2=root_16(),node_15=child(button_2);Package(node_15,{class:"h-3.5 w-3.5"});var node_16=sibling(node_15,2);{let $0=user_derived(()=>get$3(selectedOption)?.model||"");TruncatedText(node_16,{get text(){return get$3($0)},class:"min-w-0 font-medium"})}var node_17=sibling(node_16,2);{var consequent_7=$$anchor4=>{ -Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})};if_block(node_17,$$render=>{ms.updating&&$$render(consequent_7)})}reset(button_2),template_effect($0=>{set_class(button_2,1,$0),button_2.disabled=disabled()||ms.updating},[()=>clsx(cn$1("inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed\ - disabled:opacity-60",ms.isCurrentModelInCache?forceForegroundText()||ms.isHighlightedCurrentModelActive?"text-foreground":"text-muted-foreground":"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400"))]),delegated("click",button_2,()=>ms.handleOpenChange(!0)),append($$anchor3,button_2)};if_block(node_2,$$render=>{ms.isRouter?$$render(consequent_6):$$render(alternate_2,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{ms.loading&&ms.options.length===0&&ms.isRouter?$$render( -consequent):ms.options.length===0&&ms.isRouter?$$render(consequent_1,1):$$render(alternate_3,-1)})}reset(div);var node_18=sibling(div,2);{var consequent_8=$$anchor2=>{DialogModelInformation($$anchor2,{get open(){return ms.showModelDialog},onOpenChange:v=>ms.setShowModelDialog(v),get modelId(){return ms.infoModelId}})};if_block(node_18,$$render=>{ms.showModelDialog&&$$render(consequent_8)})}return template_effect($0=>set_class(div,1,$0),[()=>clsx(cn$1("relative inline-flex flex-col items-end gap-\ -1",className()))]),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_4=from_html(" "),root_5$3=from_html(" "),root_7$2=from_html(" "),root_9$1=from_html(" "),root_2$6=from_html(' ');function ModelId($$anchor,$$props){push$1($$props,!0);let hideOrgName=prop($$props,"hideOrgName",3,!1),showRaw=prop($$props,"showRaw",3,void 0),hideQuantization=prop( -$$props,"hideQuantization",3,!1),className=prop($$props,"class",3,""),rest=rest_props($$props,["$$slots","$$events","$$legacy","modelId","hideOrgName","showRaw","hideQuantization","aliases","tags","class"]);const badgeClass="inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25",tagBadgeClass="inline-flex w-fit shrink-0 items-cen\ -ter justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground";let parsed=user_derived(()=>ModelsService.parseModelId($$props.modelId)),resolvedShowRaw=user_derived(()=>showRaw()??config$1().showRawModelNames??!1),displayName=user_derived(()=>$$props.aliases&&$$props.aliases.length>0?$$props.aliases[0]:get$3(parsed).modelName??$$props.modelId),remainingAliases=user_derived(()=>$$props. -aliases&&$$props.aliases.length>1?$$props.aliases.slice(1):[]),allTags=user_derived(()=>[...get$3(parsed).tags??[],...$$props.tags??[]]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{TruncatedText($$anchor2,spread_props({get class(){return`font-medium ${className()??""}`},showTooltip:!1,get text(){return $$props.modelId}},()=>rest))},alternate=$$anchor2=>{var span=root_2$6();attribute_effect(span,()=>({class:`flex min-w-0 flex-wrap items-center gap-1 ${className()?? -""}`,...rest}));var span_1=child(span),node_1=child(span_1);{var consequent_1=$$anchor3=>{var text2=text$8();template_effect(()=>set_text(text2,`${get$3(parsed).orgName??""}/`)),append($$anchor3,text2)};if_block(node_1,$$render=>{!hideOrgName()&&get$3(parsed).orgName&&!($$props.aliases&&$$props.aliases.length>0)&&$$render(consequent_1)})}var text_1=sibling(node_1,1,!0);reset(span_1);var node_2=sibling(span_1,2);{var consequent_2=$$anchor3=>{var span_2=root_4();set_class(span_2,1,clsx(badgeClass)); -var text_2=child(span_2);reset(span_2),template_effect(()=>set_text(text_2,`${get$3(parsed).params??""}${get$3(parsed).activatedParams?`-${get$3(parsed).activatedParams}`:""}`)),append($$anchor3,span_2)};if_block(node_2,$$render=>{get$3(parsed).params&&$$render(consequent_2)})}var node_3=sibling(node_2,2);{var consequent_3=$$anchor3=>{var span_3=root_5$3();set_class(span_3,1,clsx(badgeClass));var text_3=child(span_3,!0);reset(span_3),template_effect(()=>set_text(text_3,get$3(parsed).quantization)), -append($$anchor3,span_3)};if_block(node_3,$$render=>{get$3(parsed).quantization&&!hideQuantization()&&$$render(consequent_3)})}var node_4=sibling(node_3,2);{var consequent_4=$$anchor3=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);each(node_5,16,()=>get$3(remainingAliases),alias=>alias,($$anchor4,alias)=>{var span_4=root_7$2();set_class(span_4,1,clsx(badgeClass));var text_4=child(span_4,!0);reset(span_4),template_effect(()=>set_text(text_4,alias)),append($$anchor4,span_4)}),append($$anchor3, -fragment_3)};if_block(node_4,$$render=>{get$3(remainingAliases).length>0&&$$render(consequent_4)})}var node_6=sibling(node_4,2);{var consequent_5=$$anchor3=>{var fragment_4=comment$2(),node_7=first_child(fragment_4);each(node_7,16,()=>get$3(allTags),tag=>tag,($$anchor4,tag)=>{var span_5=root_9$1();set_class(span_5,1,clsx(tagBadgeClass));var text_5=child(span_5,!0);reset(span_5),template_effect(()=>set_text(text_5,tag)),append($$anchor4,span_5)}),append($$anchor3,fragment_4)};if_block(node_6,$$render=>{ -get$3(allTags).length>0&&$$render(consequent_5)})}reset(span),template_effect(()=>set_text(text_1,get$3(displayName))),append($$anchor2,span)};if_block(node2,$$render=>{get$3(resolvedShowRaw)?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$2=from_html(" ",1),root_8$1=from_html(" ",1);function ModelBadge($$anchor,$$props){push$1($$props,!0);const badgeContent=$$anchor2=>{BadgeInfo($$anchor2,{get class(){return className()},get onclick(){return $$props. -onclick},icon:$$anchor3=>{Package($$anchor3,{class:"h-3 w-3"})},children:($$anchor3,$$slotProps)=>{var fragment_2=root_3$2(),node2=first_child(fragment_2);{var consequent=$$anchor4=>{ModelId($$anchor4,{get modelId(){return get$3(model)}})};if_block(node2,$$render=>{get$3(model)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor4=>{{let $0=user_derived(()=>get$3(model)||"");ActionIconCopyToClipboard($$anchor4,{get text(){return get$3($0)},ariaLabel:"Copy model name"})}}; -if_block(node_1,$$render=>{showCopyIcon()&&$$render(consequent_1)})}append($$anchor3,fragment_2)},$$slots:{icon:!0,default:!0}})};let className=prop($$props,"class",3,""),showCopyIcon=prop($$props,"showCopyIcon",3,!1),showTooltip=prop($$props,"showTooltip",3,!1),model=user_derived(()=>$$props.model||modelsStore.singleModelName),isModelMode=user_derived(()=>serverStore.isModelMode),shouldShow=user_derived(()=>get$3(model)&&($$props.model!==void 0||get$3(isModelMode)));var fragment_5=comment$2(),node_2=first_child( -fragment_5);{var consequent_3=$$anchor2=>{var fragment_6=comment$2(),node_3=first_child(fragment_6);{var consequent_2=$$anchor3=>{var fragment_7=comment$2(),node_4=first_child(fragment_7);component(node_4,()=>Root$5,($$anchor4,Tooltip_Root)=>{Tooltip_Root($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_8=root_8$1(),node_5=first_child(fragment_8);component(node_5,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor6,{children:($$anchor7,$$slotProps2)=>{badgeContent( -$$anchor7)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Tooltip_content,($$anchor6,Tooltip_Content)=>{Tooltip_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.onclick?"Click for model details":get$3(model))),append($$anchor7,text2)},$$slots:{default:!0}})}),append($$anchor5,fragment_8)},$$slots:{default:!0}})}),append($$anchor3,fragment_7)},alternate=$$anchor3=>{badgeContent($$anchor3)};if_block( -node_3,$$render=>{showTooltip()?$$render(consequent_2):$$render(alternate,-1)})}append($$anchor2,fragment_6)};if_block(node_2,$$render=>{get$3(shouldShow)&&$$render(consequent_3)})}append($$anchor,fragment_5),pop()}var root_1$3=from_html('
          '),root_2$5=from_html(" ",1),root$7=from_html('
          ',1);function DropdownMenuSearchable($$anchor,$$props){ -push$1($$props,!0);let placeholder=prop($$props,"placeholder",3,"Search..."),searchValue=prop($$props,"searchValue",15,""),emptyMessage=prop($$props,"emptyMessage",3,"No items found"),isEmpty=prop($$props,"isEmpty",3,!1);var fragment=root$7(),div=first_child(fragment),node2=child(div);SearchInput(node2,{get placeholder(){return placeholder()},get onInput(){return $$props.onSearchChange},get onKeyDown(){return $$props.onSearchKeyDown},get value(){return searchValue()},set value($$value){searchValue( -$$value)}}),reset(div);var div_1=sibling(div,2),node_1=child(div_1);snippet(node_1,()=>$$props.children);var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var div_2=root_1$3(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor2,div_2)};if_block(node_2,$$render=>{isEmpty()&&$$render(consequent)})}reset(div_1);var node_3=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment_1=root_2$5(),node_4=first_child(fragment_1);component(node_4, -()=>Dropdown_menu_separator,($$anchor3,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor3,{})});var node_5=sibling(node_4,2);snippet(node_5,()=>$$props.footer),append($$anchor2,fragment_1)};if_block(node_3,$$render=>{$$props.footer&&$$render(consequent_1)})}append($$anchor,fragment),pop()}const iconComponent=($$anchor,IconComponent=noop$3,className=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);component(node2,IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2, -{get class(){return className()}})}),append($$anchor,fragment)};var root_6$2=from_html(' ',1),root_7$1=from_html("

          "),root_5$2=from_html(" ",1),root_12=from_html('
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          Troubleshooting

          Start the llama-server:

          llama-server -hf ggml-\ -org/gemma-3-4b-it-GGUF

          or

          llama-server -m locally-stored-model.gguf

          • Check that the server is accessible at the correct URL
          • Verify your network connection
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          Server Connection Error

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handleSaveApiKey(){if(get$3(apiKeyInput).trim()){set$1(apiKeyState,"validating"),set$1(apiKeyError,"");try{settingsStore.updateConfig("apiKey",get$3(apiKeyInput).trim());const response=await fetch(`${base}/props`,{headers:{"Content-Type":"application/json",Authorization:`Bearer ${get$3(apiKeyInput).trim()}`}});response.ok?(set$1(apiKeyState,"success"),setTimeout(()=>{ -goto("#/")},1e3)):(set$1(apiKeyState,"error"),response.status===401||response.status===403?set$1(apiKeyError,"Invalid API key - please check and try again"):set$1(apiKeyError,`Authentication failed (${response.status})`),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3))}catch(error2){set$1(apiKeyState,"error"),error2 instanceof Error?error2.message.includes("fetch")?set$1(apiKeyError,"Cannot connect to server - check if server is running"):set$1(apiKeyError,error2.message,!0):set$1(apiKeyError,"C\ -onnection error - please try again"),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3)}}}function 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div_5=root_3$1(),div_6=child(div_5),node_5=child(div_6);Label(node_5,{for:"api-key-input",class:"text-sm font-medium",children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("API Key");append($$anchor3,text_1)},$$slots:{default:!0}});var div_7=sibling(node_5,2),node_6=child(div_7);{let $0=user_derived(()=>get$3(apiKeyState)==="error"?"border-destructive":get$3(apiKeyState)==="success"?"border-green-500":""),$1=user_derived(()=>get$3(apiKeyState)==="validating");Input(node_6,{id:"api-ke\ -y-input",placeholder:"Enter your API key...",onkeydown:handleApiKeyKeydown,get class(){return`w-full pr-10 ${get$3($0)??""}`},get disabled(){return get$3($1)},get value(){return get$3(apiKeyInput)},set value($$value){set$1(apiKeyInput,$$value,!0)}})}var node_7=sibling(node_6,2);{var consequent_1=$$anchor3=>{var div_8=root_5$1(),node_8=child(div_8);Refresh_cw(node_8,{class:"h-4 w-4 animate-spin text-muted-foreground"}),reset(div_8),append($$anchor3,div_8)},consequent_2=$$anchor3=>{var div_9=root_6(), -node_9=child(div_9);Circle_check_big(node_9,{class:"h-4 w-4 text-green-500"}),reset(div_9),transition(1,div_9,()=>scale,()=>({duration:200,start:.8})),append($$anchor3,div_9)},consequent_3=$$anchor3=>{var div_10=root_7(),node_10=child(div_10);Circle_x(node_10,{class:"h-4 w-4 text-destructive"}),reset(div_10),transition(1,div_10,()=>scale,()=>({duration:200,start:.8})),append($$anchor3,div_10)};if_block(node_7,$$render=>{get$3(apiKeyState)==="validating"?$$render(consequent_1):get$3(apiKeyState)=== -"success"?$$render(consequent_2,1):get$3(apiKeyState)==="error"&&$$render(consequent_3,2)})}reset(div_7);var node_11=sibling(div_7,2);{var consequent_4=$$anchor3=>{var p_1=root_8(),text_2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_2,get$3(apiKeyError))),transition(1,p_1,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_1)};if_block(node_11,$$render=>{get$3(apiKeyError)&&$$render(consequent_4)})}var node_12=sibling(node_11,2);{var consequent_5=$$anchor3=>{var p_2=root_9();transition( -1,p_2,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_2)};if_block(node_12,$$render=>{get$3(apiKeyState)==="success"&&$$render(consequent_5)})}reset(div_6);var div_11=sibling(div_6,2),node_13=child(div_11);{let $0=user_derived(()=>!get$3(apiKeyInput).trim()||get$3(apiKeyState)==="validating"||get$3(apiKeyState)==="success");Button(node_13,{onclick:handleSaveApiKey,get disabled(){return get$3($0)},class:"flex-1",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_14=first_child( -fragment_1);{var consequent_6=$$anchor4=>{var fragment_2=root_11(),node_15=first_child(fragment_2);Refresh_cw(node_15,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_2)},consequent_7=$$anchor4=>{var text_3=text$8("Success!");append($$anchor4,text_3)},alternate=$$anchor4=>{var text_4=text$8("Save & 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disabled(){return get$3(isServerLoading)},class:"w-full",children:($$anchor3,$$slotProps)=>{var fragment_3=comment$2(),node_19=first_child(fragment_3);{var consequent_9=$$anchor4=>{var fragment_4=root_17(),node_20=first_child( -fragment_4);Refresh_cw(node_20,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_4)},alternate_1=$$anchor4=>{var fragment_5=root_18(),node_21=first_child(fragment_5);Refresh_cw(node_21,{class:"h-4 w-4"}),next$1(),append($$anchor4,fragment_5)};if_block(node_19,$$render=>{get$3(isServerLoading)?$$render(consequent_9):$$render(alternate_1,-1)})}append($$anchor3,fragment_3)},$$slots:{default:!0}}),reset(div_12),transition(1,div_12,()=>fly,()=>({y:10,duration:300,delay:200})),append( -$$anchor2,div_12)};if_block(node_17,$$render=>{showRetry()&&$$render(consequent_10)})}var node_22=sibling(node_17,2);{var consequent_11=$$anchor2=>{var div_13=root_19();transition(1,div_13,()=>fly,()=>({y:10,duration:300,delay:400})),append($$anchor2,div_13)};if_block(node_22,$$render=>{showTroubleshooting()&&$$render(consequent_11)})}reset(div_1),reset(div),template_effect(()=>{set_class(div,1,`flex h-full items-center justify-center ${className()??""}`),set_text(text2,$$props.error)}),transition( -1,div_2,()=>fade,()=>({duration:300})),append($$anchor,div),pop()}var root$3=from_html('

          Connecting to Server

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shadow(this,"isImageDecoderSupported","undefined"!=typeof ImageDecoder)}static get platform(){const{platform:e,userAgent:t}=navigator;return shad\ -ow(this,"platform",{isAndroid:t.includes("Android"),isLinux:e.includes("Linux"),isMac:e.includes("Mac"),isWindows:e.includes("Win"),isFirefox:t.includes("Firefox")})}static get isCSSRoundSupported(){return shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const ga=Array.from(Array(256).keys(),(e=>e.toString(16).padStart(2,"0")));class Util{static makeHexColor(e,t,a){return`#${ga[e]}${ga[t]}${ga[a]}`}static scaleMinMax(e,t){let a;if(e[0]){if(e[0]<0){a=t[0]\ -;t[0]=t[2];t[2]=a}t[0]*=e[0];t[2]*=e[0];if(e[3]<0){a=t[1];t[1]=t[3];t[3]=a}t[1]*=e[3];t[3]*=e[3]}else{a=t[0];t[0]=t[1];t[1]=a;a=t[2];t[2]=t[3];t[3]=a;if(e[1]<0){a=t[1];t[1]=t[3];t[3]=a}t[1]*=e[1];t[3]*=e[1];if(e[2]<0){a=t[0];t[0]=t[2];t[2]=a}t[0]*=e[2];t[2]*=e[2]}t[0]+=e[4];t[1]+=e[5];t[2]+=e[4];t[3]+=e[5]}static transform(e,t){return[e[0]*t[0]+e[2]*t[1],e[1]*t[0]+e[3]*t[1],e[0]*t[2]+e[2]*t[3],e[1]*t[2]+e[3]*t[3],e[0]*t[4]+e[2]*t[5]+e[4],e[1]*t[4]+e[3]*t[5]+e[5]]}static applyTransform(e,t,a=0){c\ -onst r=e[a],i=e[a+1];e[a]=r*t[0]+i*t[2]+t[4];e[a+1]=r*t[1]+i*t[3]+t[5]}static applyTransformToBezier(e,t,a=0){const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5];for(let t=0;t<6;t+=2){const l=e[a+t],h=e[a+t+1];e[a+t]=l*r+h*n+o;e[a+t+1]=l*i+h*s+c}}static applyInverseTransform(e,t){const a=e[0],r=e[1],i=t[0]*t[3]-t[1]*t[2];e[0]=(a*t[3]-r*t[2]+t[2]*t[5]-t[4]*t[3])/i;e[1]=(-a*t[1]+r*t[0]+t[4]*t[1]-t[5]*t[0])/i}static axialAlignedBoundingBox(e,t,a){const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5],l=e[0],h\ -=e[1],u=e[2],d=e[3];let f=r*l+o,g=f,p=r*u+o,m=p,b=s*h+c,y=b,w=s*d+c,x=w;if(0!==i||0!==n){const e=i*l,t=i*u,a=n*h,r=n*d;f+=a;m+=a;p+=r;g+=r;b+=e;x+=e;w+=t;y+=t}a[0]=Math.min(a[0],f,p,g,m);a[1]=Math.min(a[1],b,w,y,x);a[2]=Math.max(a[2],f,p,g,m);a[3]=Math.max(a[3],b,w,y,x)}static inverseTransform(e){const t=e[0]*e[3]-e[1]*e[2];return[e[3]/t,-e[1]/t,-e[2]/t,e[0]/t,(e[2]*e[5]-e[4]*e[3])/t,(e[4]*e[1]-e[5]*e[0])/t]}static singularValueDecompose2dScale(e,t){const a=e[0],r=e[1],i=e[2],n=e[3],s=a**2+r**2,\ -o=a*i+r*n,c=i**2+n**2,l=(s+c)/2,h=Math.sqrt(l**2-(s*c-o**2));t[0]=Math.sqrt(l+h||1);t[1]=Math.sqrt(l-h||1)}static normalizeRect(e){const t=e.slice(0);if(e[0]>e[2]){t[0]=e[2];t[2]=e[0]}if(e[1]>e[3]){t[1]=e[3];t[3]=e[1]}return t}static intersect(e,t){const a=Math.max(Math.min(e[0],e[2]),Math.min(t[0],t[2])),r=Math.min(Math.max(e[0],e[2]),Math.max(t[0],t[2]));if(a>r)return null;const i=Math.max(Math.min(e[1],e[3]),Math.min(t[1],t[3])),n=Math.min(Math.max(e[1],e[3]),Math.max(t[1],t[3]));return i>n?n\ -ull:[a,i,r,n]}static pointBoundingBox(e,t,a){a[0]=Math.min(a[0],e);a[1]=Math.min(a[1],t);a[2]=Math.max(a[2],e);a[3]=Math.max(a[3],t)}static rectBoundingBox(e,t,a,r,i){i[0]=Math.min(i[0],e,a);i[1]=Math.min(i[1],t,r);i[2]=Math.max(i[2],e,a);i[3]=Math.max(i[3],t,r)}static#e(e,t,a,r,i,n,s,o,c,l){if(c<=0||c>=1)return;const h=1-c,u=c*c,d=u*c,f=h*(h*(h*e+3*c*t)+3*u*a)+d*r,g=h*(h*(h*i+3*c*n)+3*u*s)+d*o;l[0]=Math.min(l[0],f);l[1]=Math.min(l[1],g);l[2]=Math.max(l[2],f);l[3]=Math.max(l[3],g)}static#t(e,t,a\ -,r,i,n,s,o,c,l,h,u){if(Math.abs(c)<1e-12){Math.abs(l)>=1e-12&&this.#e(e,t,a,r,i,n,s,o,-h/l,u);return}const d=l**2-4*h*c;if(d<0)return;const f=Math.sqrt(d),g=2*c;this.#e(e,t,a,r,i,n,s,o,(-l+f)/g,u);this.#e(e,t,a,r,i,n,s,o,(-l-f)/g,u)}static bezierBoundingBox(e,t,a,r,i,n,s,o,c){c[0]=Math.min(c[0],e,s);c[1]=Math.min(c[1],t,o);c[2]=Math.max(c[2],e,s);c[3]=Math.max(c[3],t,o);this.#t(e,a,i,s,t,r,n,o,3*(3*(a-i)-e+s),6*(e-2*a+i),3*(a-e),c);this.#t(e,a,i,s,t,r,n,o,3*(3*(r-n)-t+o),6*(t-2*r+n),3*(r-t),c)}}\ -const pa=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,728,711,710,729,733,731,730,732,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8226,8224,8225,8230,8212,8211,402,8260,8249,8250,8722,8240,8222,8220,8221,8216,8217,8218,8482,64257,64258,321,338,352,376,381,305,322,339,353,382,0,8364];function stringToPDFString(e,t=!1){if(e[0]>="ï"){let a;if("þ"===\ -e[0]&&"ÿ"===e[1]){a="utf-16be";e.length%2==1&&(e=e.slice(0,-1))}else if("ÿ"===e[0]&&"þ"===e[1]){a="utf-16le";e.length%2==1&&(e=e.slice(0,-1))}else"ï"===e[0]&&"»"===e[1]&&"¿"===e[2]&&(a="utf-8");if(a)try{const r=new TextDecoder(a,{fatal:!0}),i=stringToBytes(e),n=r.decode(i);return t||!n.includes("\x1B")?n:n.replaceAll(/\\x1b[^\\x1b]*(?:\\x1b|$)/g,"")}catch(e){warn(`stringToPDFString: "${e}".`)}}const a=[];for(let r=0,i=e.length;rga[e])).join("")}"function"!=typeof Promise.try&&(Promise.try=function(e,...t){return new Promise((a=>{a(e(...t))}))});"function"!=typeof \ -Math.sumPrecise&&(Math.sumPrecise=function(e){return e.reduce(((e,t)=>e+t),0)});const ya=Symbol("CIRCULAR_REF"),wa=Symbol("EOF");let xa=Object.create(null),Sa=Object.create(null),Aa=Object.create(null);class Name{constructor(e){this.name=e}static get(e){return Sa[e]||=new Name(e)}}class Cmd{constructor(e){this.cmd=e}static get(e){return xa[e]||=new Cmd(e)}}const ka=function nonSerializableClosure(){return ka};class Dict{constructor(e=null){this._map=new Map;this.xref=e;this.objId=null;this.suppr\ -essEncryption=!1;this.__nonSerializable__=ka}assignXref(e){this.xref=e}get size(){return this._map.size}get(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetch(r,this.suppressEncryption):r}async getAsync(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetchAsync\ -(r,this.suppressEncryption):r}getArray(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}r instanceof Ref&&this.xref&&(r=this.xref.fetch(r,this.suppressEncryption));if(Array.isArray(r)){r=r.slice();for(let e=0,t=r.length;e{unreachable("Should not call `set` on the empty dictionary.")};return shadow(this,"empty",e)}static merge({xref:e,dictArray:t,mergeSubDicts:a=!1}){const r=new Dict(e),i=new Map;for(const e of t)if(e instanceof Dict)for(const[t,r]of e._map){let e=i.get(t);if(void 0===e){e=[];i.set(t,e)}else if(!(a&&r instanceof Dict))continue;e.push(r)}for(const[t,a]of i){if(1===a.length||!(a[0]instanceof Dict)){r._map.set(t,a[0]);continue}const i=new Dict\ -(e);for(const e of a)for(const[t,a]of e._map)i._map.has(t)||i._map.set(t,a);i.size>0&&r._map.set(t,i)}i.clear();return r.size>0?r:Dict.empty}clone(){const e=new Dict(this.xref);for(const t of this.getKeys())e.set(t,this.getRaw(t));return e}delete(e){delete this._map[e]}}class Ref{constructor(e,t){this.num=e;this.gen=t}toString(){return 0===this.gen?`${this.num}R`:`${this.num}R${this.gen}`}static fromString(e){const t=Aa[e];if(t)return t;const a=/^(\\d+)R(\\d*)$/.exec(e);return a&&"0"!==a[1]?Aa[e]=\ -new Ref(parseInt(a[1]),a[2]?parseInt(a[2]):0):null}static get(e,t){const a=0===t?`${e}R`:`${e}R${t}`;return Aa[a]||=new Ref(e,t)}}class RefSet{constructor(e=null){this._set=new Set(e?._set)}has(e){return this._set.has(e.toString())}put(e){this._set.add(e.toString())}remove(e){this._set.delete(e.toString())}[Symbol.iterator](){return this._set.values()}clear(){this._set.clear()}}class RefSetCache{constructor(){this._map=new Map}get size(){return this._map.size}get(e){return this._map.get(e.toStri\ -ng())}has(e){return this._map.has(e.toString())}put(e,t){this._map.set(e.toString(),t)}putAlias(e,t){this._map.set(e.toString(),this.get(t))}[Symbol.iterator](){return this._map.values()}clear(){this._map.clear()}*values(){yield*this._map.values()}*items(){for(const[e,t]of this._map)yield[Ref.fromString(e),t]}}function isName(e,t){return e instanceof Name&&(void 0===t||e.name===t)}function isCmd(e,t){return e instanceof Cmd&&(void 0===t||e.cmd===t)}function isDict(e,t){return e instanceof Dict&&\ -(void 0===t||isName(e.get("Type"),t))}function isRefsEqual(e,t){return e.num===t.num&&e.gen===t.gen}class BaseStream{get length(){unreachable("Abstract getter `length` accessed")}get isEmpty(){unreachable("Abstract getter `isEmpty` accessed")}get isDataLoaded(){return shadow(this,"isDataLoaded",!0)}getByte(){unreachable("Abstract method `getByte` called")}getBytes(e){unreachable("Abstract method `getBytes` called")}async getImageData(e,t){return this.getBytes(e,t)}async asyncGetBytes(){unreachab\ -le("Abstract method `asyncGetBytes` called")}get isAsync(){return!1}get isAsyncDecoder(){return!1}get canAsyncDecodeImageFromBuffer(){return!1}async getTransferableImage(){return null}peekByte(){const e=this.getByte();-1!==e&&this.pos--;return e}peekBytes(e){const t=this.getBytes(e);this.pos-=t.length;return t}getUint16(){const e=this.getByte(),t=this.getByte();return-1===e||-1===t?-1:(e<<8)+t}getInt32(){return(this.getByte()<<24)+(this.getByte()<<16)+(this.getByte()<<8)+this.getByte()}getByteRa\ -nge(e,t){unreachable("Abstract method `getByteRange` called")}getString(e){return bytesToString(this.getBytes(e))}skip(e){this.pos+=e||1}reset(){unreachable("Abstract method `reset` called")}moveStart(){unreachable("Abstract method `moveStart` called")}makeSubStream(e,t,a=null){unreachable("Abstract method `makeSubStream` called")}getBaseStreams(){return null}}const Ca=/^[1-9]\\.\\d$/,va=2**31-1,Fa=[1,0,0,1,0,0],Ia=["ColorSpace","ExtGState","Font","Pattern","Properties","Shading","XObject"],Ta=["E\ -xtGState","Font","Properties","XObject"];function getLookupTableFactory(e){let t;return function(){if(e){t=Object.create(null);e(t);e=null}return t}}class MissingDataException extends fa{constructor(e,t){super(`Missing data [${e}, ${t})`,"MissingDataException");this.begin=e;this.end=t}}class ParserEOFException extends fa{constructor(e){super(e,"ParserEOFException")}}class XRefEntryException extends fa{constructor(e){super(e,"XRefEntryException")}}class XRefParseException extends fa{constructor(e\ -){super(e,"XRefParseException")}}function arrayBuffersToBytes(e){const t=e.length;if(0===t)return new Uint8Array(0);if(1===t)return new Uint8Array(e[0]);let a=0;for(let r=0;r0,"The number should be a positive integer.");const a="M".repeat(e/1e3|0)+Oa[e%1e3/100|0]+Oa[10+(e%100/10|0)]+Oa[20+e%10];return t?a.toLowerCase():a}function log2(e){return e>0?Math.ceil(Math.log2(e)):0}function readInt8(e,t){return e[t]<<24>>24}function readInt16(e,t){return(e[t]<<24|e[t+1]<<16)>>16}function readUint16(e,t){return e[t]<<8|e[t+1]}function readUint32(e,t){return(e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3])>>>0}function isWhiteSpace(e){return 32===e||9===e||13===e||10===e\ -}function isNumberArray(e,t){return Array.isArray(e)?(null===t||e.length===t)&&e.every((e=>"number"==typeof e)):ArrayBuffer.isView(e)&&!(e instanceof BigInt64Array||e instanceof BigUint64Array)&&(null===t||e.length===t)}function lookupMatrix(e,t){return isNumberArray(e,6)?e:t}function lookupRect(e,t){return isNumberArray(e,4)?e:t}function lookupNormalRect(e,t){return isNumberArray(e,4)?Util.normalizeRect(e):t}function parseXFAPath(e){const t=/(.+)\\[(\\d+)\\]$/;return e.split(".").map((e=>{const a=\ -e.match(t);return a?{name:a[1],pos:parseInt(a[2],10)}:{name:e,pos:0}}))}function escapePDFName(e){const t=[];let a=0;for(let r=0,i=e.length;r126||35===i||40===i||41===i||60===i||62===i||91===i||93===i||123===i||125===i||47===i||37===i){a"\\n\ -"===e?"\\\\n":"\\r"===e?"\\\\r":`\\\\${e}`))}function _collectJS(e,t,a,r){if(!e)return;let i=null;if(e instanceof Ref){if(r.has(e))return;i=e;r.put(i);e=t.fetch(e)}if(Array.isArray(e))for(const i of e)_collectJS(i,t,a,r);else if(e instanceof Dict){if(isName(e.get("S"),"JavaScript")){const t=e.get("JS");let r;t instanceof BaseStream?r=t.getString():"string"==typeof t&&(r=t);r&&=stringToPDFString(r,!0).replaceAll("\\0","");r&&a.push(r.trim())}_collectJS(e.getRaw("Next"),t,a,r)}i&&r.remove(i)}function coll\ -ectActions(e,t,a){const r=Object.create(null),i=getInheritableProperty({dict:t,key:"AA",stopWhenFound:!1});if(i)for(let t=i.length-1;t>=0;t--){const n=i[t];if(n instanceof Dict)for(const t of n.getKeys()){const i=a[t];if(!i)continue;const s=[];_collectJS(n.getRaw(t),e,s,new RefSet);s.length>0&&(r[i]=s)}}if(t.has("A")){const a=[];_collectJS(t.get("A"),e,a,new RefSet);a.length>0&&(r.Action=a)}return objectSize(r)>0?r:null}const Ma={60:"<",62:">",38:"&",34:""",39:"'"};function*c\ -odePointIter(e){for(let t=0,a=e.length;t55295&&(a<57344||a>65533)&&t++;yield a}}function encodeToXmlString(e){const t=[];let a=0;for(let r=0,i=e.length;r55295&&(i<57344||i>65533)&&r++;a=r+1}}if(0===t.length)return e;a: ${e}.`);return!1}return!0}function validateCSSFont(e){const t=new Set(["100","200","300","400","500","600","700","800","900","1000","norm\ -al","bold","bolder","lighter"]),{fontFamily:a,fontWeight:r,italicAngle:i}=e;if(!validateFontName(a,!0))return!1;const n=r?r.toString():"";e.fontWeight=t.has(n)?n:"400";const s=parseFloat(i);e.italicAngle=isNaN(s)||s<-90||s>90?"14":i.toString();return!0}function recoverJsURL(e){const t=new RegExp("^\\\\s*("+["app.launchURL","window.open","xfa.host.gotoURL"].join("|").replaceAll(".","\\\\.")+")\\\\((?:\'|\\")([^\'\\"]*)(?:\'|\\")(?:,\\\\s*(\\\\w+)\\\\)|\\\\))","i").exec(e);return t?.[2]?{url:t[2],newWindow:"app.launc\ -hURL"===t[1]&&"true"===t[3]}:null}function numberToString(e){if(Number.isInteger(e))return e.toString();const t=Math.round(100*e);return t%100==0?(t/100).toString():t%10==0?e.toFixed(1):e.toFixed(2)}function getNewAnnotationsMap(e){if(!e)return null;const t=new Map;for(const[a,r]of e){if(!a.startsWith(f))continue;let e=t.get(r.pageIndex);if(!e){e=[];t.set(r.pageIndex,e)}e.push(r)}return t.size>0?t:null}function stringToAsciiOrUTF16BE(e){return null==e||function isAscii(e){if("string"!=typeof e)r\ -eturn!1;return!e||/^[\\x00-\\x7F]*$/.test(e)}(e)?e:stringToUTF16String(e,!0)}function stringToUTF16HexString(e){const t=[];for(let a=0,r=e.length;a>8&255],ga[255&r])}return t.join("")}function stringToUTF16String(e,t=!1){const a=[];t&&a.push("þÿ");for(let t=0,r=e.length;t>8&255),String.fromCharCode(255&r))}return a.join("")}function getRotationMatrix(e,t,a){switch(e){case 90:return[0,1,-1,0,t,0\ -];case 180:return[-1,0,0,-1,t,a];case 270:return[0,-1,1,0,0,a];default:throw new Error("Invalid rotation")}}function getSizeInBytes(e){return Math.ceil(Math.ceil(Math.log2(1+e))/8)}class QCMS{static#a=null;static _memory=null;static _mustAddAlpha=!1;static _destBuffer=null;static _destOffset=0;static _destLength=0;static _cssColor="";static _makeHexColor=null;static get _memoryArray(){const e=this.#a;return e?.byteLength?e:this.#a=new Uint8Array(this._memory.buffer)}}let Da;const Ba="undefined"!\ -=typeof TextDecoder?new TextDecoder("utf-8",{ignoreBOM:!0,fatal:!0}):{decode:()=>{throw Error("TextDecoder not available")}};"undefined"!=typeof TextDecoder&&Ba.decode();let Ra=null;function getUint8ArrayMemory0(){null!==Ra&&0!==Ra.byteLength||(Ra=new Uint8Array(Da.memory.buffer));return Ra}let Na=0;function passArray8ToWasm0(e,t){const a=t(1*e.length,1)>>>0;getUint8ArrayMemory0().set(e,a/1);Na=e.length;return a}const Ea=Object.freeze({RGB8:0,0:"RGB8",RGBA8:1,1:"RGBA8",BGRA8:2,2:"BGRA8",Gray8:3,\ -3:"Gray8",GrayA8:4,4:"GrayA8",CMYK:5,5:"CMYK"}),Pa=Object.freeze({Perceptual:0,0:"Perceptual",RelativeColorimetric:1,1:"RelativeColorimetric",Saturation:2,2:"Saturation",AbsoluteColorimetric:3,3:"AbsoluteColorimetric"});function __wbg_get_imports(){const e={wbg:{}};e.wbg.__wbg_copyresult_b08ee7d273f295dd=function(e,t){!function copy_result(e,t){const{_mustAddAlpha:a,_destBuffer:r,_destOffset:i,_destLength:n,_memoryArray:s}=QCMS;if(t!==n)if(a)for(let a=e,n=e+t,o=i;a>>0,t>>>0)};e.wbg.__wbg_copyrgb_d60ce17bb05d9b67=function(e){!function copy_rgb(e){const{_destBuffer:t,_destOffset:a,_memoryArray:r}=QCMS;t[a]=r[e];t[a+1]=r[e+1];t[a+2]=r[e+2]}(e>>>0)};e.wbg.__wbg_makecssRGB_893bf0cd9fdb302d=function(e){!function make_cssRGB(e){const{_memoryArray:t}=QCMS;QCMS._cssColor=QCMS._makeHexColor(t[e],t[e+1],t[e+2])}(e>>>0)};e\ -.wbg.__wbindgen_init_externref_table=function(){const e=Da.__wbindgen_export_0,t=e.grow(4);e.set(0,void 0);e.set(t+0,void 0);e.set(t+1,null);e.set(t+2,!0);e.set(t+3,!1)};e.wbg.__wbindgen_throw=function(e,t){throw new Error(function getStringFromWasm0(e,t){e>>>=0;return Ba.decode(getUint8ArrayMemory0().subarray(e,e+t))}(e,t))};return e}function __wbg_finalize_init(e,t){Da=e.exports;__wbg_init.__wbindgen_wasm_module=t;Ra=null;Da.__wbindgen_start();return Da}async function __wbg_init(e){if(void 0!=\ -=Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({module_or_path:e}=e):console.warn("using deprecated parameters for the initialization function; pass a single object instead"));const t=__wbg_get_imports();("string"==typeof e||"function"==typeof Request&&e instanceof Request||"function"==typeof URL&&e instanceof URL)&&(e=fetch(e));const{instance:a,module:r}=await async function __wbg_load(e,t){if("function"==typeof Response&&e instanceof Response){if("function"==typeof Web\ -Assembly.instantiateStreaming)try{return await WebAssembly.instantiateStreaming(e,t)}catch(t){if("application/wasm"==e.headers.get("Content-Type"))throw t;console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original error:\\n",t)}const a=await e.arrayBuffer();return await WebAssembly.instantiate(a,t)}{const a=await WebAssembly.instantiate(e,t);return a instance\ -of WebAssembly.Instance?{instance:a,module:e}:a}}(await e,t);return __wbg_finalize_init(a,r)}class ColorSpace{static#r=new Uint8ClampedArray(3);constructor(e,t){this.name=e;this.numComps=t}getRgb(e,t,a=new Uint8ClampedArray(3)){this.getRgbItem(e,t,a,0);return a}getRgbHex(e,t){const a=this.getRgb(e,t,ColorSpace.#r);return Util.makeHexColor(a[0],a[1],a[2])}getRgbItem(e,t,a,r){unreachable("Should not call ColorSpace.getRgbItem")}getRgbBuffer(e,t,a,r,i,n,s){unreachable("Should not call ColorSpace.ge\ -tRgbBuffer")}getOutputLength(e,t){unreachable("Should not call ColorSpace.getOutputLength")}isPassthrough(e){return!1}isDefaultDecode(e,t){return ColorSpace.isDefaultDecode(e,this.numComps)}fillRgb(e,t,a,r,i,n,s,o,c){const l=t*a;let h=null;const u=1<u&&"DeviceGray"!==this.name&&"DeviceRGB"!==this.name){const t=s<=8?new Uint8Array(u):new Uint16Array(u);for(let e=0;e=.99554525?1:MathClamp(1.055*e**(1/2.4)-.055,0,1)}#b(e){return e<0?-this.#b(-e):e>8?((e+16)/116)**3:e*CalRGBCS.#d}#y(e,t,a){if(0===e[0]&&0===e[1]&&0===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=this.#b(0),i=(1-r)/(1-this.#b(e[0])),n=1-i,s=(1-r)/(1-this.#b(e[1])),o=1-s,c=(1-r)/(1-this.#b(e[2])),l=1-c;a[0]=t[0]*i+n;a[1]=t[1]*s+o;a[2]=t[2]*c+l}#w(e,t,a){if(1===e[0]&&1===e[2]){a[0]=t[0];a[1]=\ -t[1];a[2]=t[2];return}const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#g(e,r,i);this.#f(CalRGBCS.#s,i,a)}#x(e,t,a){const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#p(e,r,i);this.#f(CalRGBCS.#s,i,a)}#i(e,t,a,r,i){const n=MathClamp(e[t]*i,0,1),s=MathClamp(e[t+1]*i,0,1),o=MathClamp(e[t+2]*i,0,1),c=1===n?1:n**this.GR,l=1===s?1:s**this.GG,h=1===o?1:o**this.GB,u=this.MXA*c+this.MXB*l+this.MXC*h,d=this.MYA*c+this.MYB*l+this.MYC*h,f=this.MZA*c+this.MZB*l+this.MZC*h,g=CalRGBCS.#h;\ -g[0]=u;g[1]=d;g[2]=f;const p=CalRGBCS.#u;this.#w(this.whitePoint,g,p);const m=CalRGBCS.#h;this.#y(this.blackPoint,p,m);const b=CalRGBCS.#u;this.#x(CalRGBCS.#c,m,b);const y=CalRGBCS.#h;this.#f(CalRGBCS.#o,b,y);a[r]=255*this.#m(y[0]);a[r+1]=255*this.#m(y[1]);a[r+2]=255*this.#m(y[2])}getRgbItem(e,t,a,r){this.#i(e,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<this.amax||this.bm\ -in>this.bmax){info("Invalid Range, falling back to defaults");this.amin=-100;this.amax=100;this.bmin=-100;this.bmax=100}}#S(e){return e>=6/29?e**3:108/841*(e-4/29)}#A(e,t,a,r){return a+e*(r-a)/t}#i(e,t,a,r,i){let n=e[t],s=e[t+1],o=e[t+2];if(!1!==a){n=this.#A(n,a,0,100);s=this.#A(s,a,this.amin,this.amax);o=this.#A(o,a,this.bmin,this.bmax)}s>this.amax?s=this.amax:sthis.bmax?o=this.bmax:o{!function qcms_drop_transformer(e){Da.qcms_drop_transformer(e)}(e)}));constructor(e,t,a){if(!IccColorSpace.isUsable)throw new Error("No ICC color space support");super(t,a);le\ -t r;switch(a){case 1:r=Ea.Gray8;this.#C=(e,t,a)=>function qcms_convert_one(e,t,a){Da.qcms_convert_one(e,t,a)}(this.#k,255*e[t],a);break;case 3:r=Ea.RGB8;this.#C=(e,t,a)=>function qcms_convert_three(e,t,a,r,i){Da.qcms_convert_three(e,t,a,r,i)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],a);break;case 4:r=Ea.CMYK;this.#C=(e,t,a)=>function qcms_convert_four(e,t,a,r,i,n){Da.qcms_convert_four(e,t,a,r,i,n)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],255*e[t+3],a);break;default:throw new Error(`Unsupported numb\ -er of components: ${a}`)}this.#k=function qcms_transformer_from_memory(e,t,a){const r=passArray8ToWasm0(e,Da.__wbindgen_malloc),i=Na;return Da.qcms_transformer_from_memory(r,i,t,a)>>>0}(e,r,Pa.Perceptual);if(!this.#k)throw new Error("Failed to create ICC color space");IccColorSpace.#I.register(this,this.#k)}getRgbHex(e,t){this.#C(e,t,!0);return QCMS._cssColor}getRgbItem(e,t,a,r){QCMS._destBuffer=a;QCMS._destOffset=r;QCMS._destLength=3;this.#C(e,t,!1);QCMS._destBuffer=null}getRgbBuffer(e,t,a,r,i,\ -n,s){e=e.subarray(t,t+a*this.numComps);if(8!==n){const t=255/((1<=this.end?-1:this.bytes[this.pos++]}getBytes(e){const t=t\ -his.bytes,a=this.pos,r=this.end;if(!e)return t.subarray(a,r);let i=a+e;i>r&&(i=r);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);return this.bytes.subarray(e,t)}reset(){this.pos=this.start}moveStart(){this.start=this.pos}makeSubStream(e,t,a=null){return new Stream(this.bytes.buffer,e,t,a)}}class StringStream extends Stream{constructor(e){super(stringToBytes(e))}}class NullStream extends Stream{constructor(){super(new Uint8Array(0))}}class ChunkedStream ex\ -tends Stream{constructor(e,t,a){super(new Uint8Array(e),0,e,null);this.chunkSize=t;this._loadedChunks=new Set;this.numChunks=Math.ceil(e/t);this.manager=a;this.progressiveDataLength=0;this.lastSuccessfulEnsureByteChunk=-1}getMissingChunks(){const e=[];for(let t=0,a=this.numChunks;t=this.end?this.numChunks:Math.floor(t/t\ -his.chunkSize);for(let e=a;ethis.numChunks)&&t!==this.lastSuccessfulEnsureByteChunk){if(!this._loadedChunks.has(t))throw new MissingDataException(e,e+1);this.lastSuccessfulEnsureByteChunk=t}}ensureRange(e,t){if(e>=t)return;if(t<=this.progressiveDataLength)return;const a=Math.floor(e/this.chunkSize);if(a>this.numChunks)return;const r=Math.min(Math.floor((t-1)/this.chun\ -kSize)+1,this.numChunks);for(let i=a;i=this.end)return-1;e>=this.progressiveDataLength&&this.ensureByte(e);return this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e){r>this.progressiveDataLe\ -ngth&&this.ensureRange(a,r);return t.subarray(a,r)}let i=a+e;i>r&&(i=r);i>this.progressiveDataLength&&this.ensureRange(a,i);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);t>this.progressiveDataLength&&this.ensureRange(e,t);return this.bytes.subarray(e,t)}makeSubStream(e,t,a=null){t?e+t>this.progressiveDataLength&&this.ensureRange(e,e+t):e>=this.progressiveDataLength&&this.ensureByte(e);function ChunkedStreamSubstream(){}ChunkedStreamSubstream.prototype=Ob\ -ject.create(this);ChunkedStreamSubstream.prototype.getMissingChunks=function(){const e=this.chunkSize,t=Math.floor(this.start/e),a=Math.floor((this.end-1)/e)+1,r=[];for(let e=t;e{const readChunk=({value:n,done:s})=>{try{if(s){const t=arrayBuffersToBytes(r);r=null;e(t);return}i+=n.byteLength;a.isStreamingSupported&&this.onProgress({loaded:i});r.push(n);a.read().then(readChunk,t)}catch(e){t(e)}};a.read().then(readChunk,t)})).then((t=>{this.aborted||this.onReceiveData({chunk:t,begin:e})}))}requestAllChu\ -nks(e=!1){if(!e){const e=this.stream.getMissingChunks();this._requestChunks(e)}return this._loadedStreamCapability.promise}_requestChunks(e){const t=this.currRequestId++,a=new Set;this._chunksNeededByRequest.set(t,a);for(const t of e)this.stream.hasChunk(t)||a.add(t);if(0===a.size)return Promise.resolve();const r=Promise.withResolvers();this._promisesByRequest.set(t,r);const i=[];for(const e of a){let a=this._requestsByChunk.get(e);if(!a){a=[];this._requestsByChunk.set(e,a);i.push(e)}a.push(t)}i\ -f(i.length>0){const e=this.groupChunks(i);for(const t of e){const e=t.beginChunk*this.chunkSize,a=Math.min(t.endChunk*this.chunkSize,this.length);this.sendRequest(e,a).catch(r.reject)}}return r.promise.catch((e=>{if(!this.aborted)throw e}))}getStream(){return this.stream}requestRange(e,t){t=Math.min(t,this.length);const a=this.getBeginChunk(e),r=this.getEndChunk(t),i=[];for(let e=a;ee-t));return this._requestChunks(t)}groupChunks(e){const t=[];let a=-1,r=-1;for(let i=0,n=e.length;i=0&&r+1!==n){t.push({beginChunk:a,endChunk:r+1});a=n}i+1===e.length&&t.push({beginChunk:a,endChunk:n+1});r=n}return t}onProgress(e){this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize+e.loaded,total:this.length})}onReceiveDat\ -a(e){const t=e.chunk,a=void 0===e.begin,r=a?this.progressiveDataLength:e.begin,i=r+t.byteLength,n=Math.floor(r/this.chunkSize),s=i0||o.push(a)}}}if(!this.disableAutoFetch&&0===this._requestsByChunk.size){let e;if(1===this.stream.numChunksLoaded){const t=this.stream.numChunks-1;this.stream.hasChunk(t)||(e=t)}else e=this.stream.nextEmptyChunk(s);Number.isInteger(e)&&this._requestChunks([e])}for(const e of o){const t=this._promisesByRequest.get(e);this._promisesByRequest.delete(e);t.resolve()}this.msgHandler.send("DocProgress",{loaded:this.str\ -eam.numChunksLoaded*this.chunkSize,total:this.length})}onError(e){this._loadedStreamCapability.reject(e)}getBeginChunk(e){return Math.floor(e/this.chunkSize)}getEndChunk(e){return Math.floor((e-1)/this.chunkSize)+1}abort(e){this.aborted=!0;this.pdfNetworkStream?.cancelAllRequests(e);for(const t of this._promisesByRequest.values())t.reject(e)}}function convertToRGBA(e){switch(e.kind){case k:return convertBlackAndWhiteToRGBA(e);case C:return function convertRGBToRGBA({src:e,srcPos:t=0,dest:a,destP\ -os:r=0,width:i,height:n}){let s=0;const o=i*n*3,c=o>>2,l=new Uint32Array(e.buffer,t,c);if(FeatureTest.isLittleEndian){for(;s>>24|t<<8|4278190080;a[r+2]=t>>>16|i<<16|4278190080;a[r+3]=i>>>8|4278190080}for(let i=4*s,n=t+o;i>>8|255;a[r+2]=t<<16|i>>>16|255;a[r+3]=i<<8|255}for(let i=4*s,n=t+o;i\ ->3,u=7&r,d=e.length;a=new Uint32Array(a.buffer);let f=0;for(let r=0;ra||t>a)return!0;const r=e*t;if(this._hasMaxArea)return r>this.MAX_AREA;if(r(this.MAX_AREA=this.#O**2)}static getReducePowerForJPX(e,t,a){const r=e*t,i=2**30/(4*a);if(!this.needsToBeResized(e,t))return r>i?Math.ceil(Math.log2(r/i)):0;const{MAX_DIM:n,MAX_AREA:s}=this,o=Math.max(e/n,t/n,Math.sqrt(r/Math.min(i,s)));return Math.ceil(M\ -ath.log2(o))}static get MAX_DIM(){return shadow(this,"MAX_DIM",this._guessMax(2048,65537,0,1))}static get MAX_AREA(){this._hasMaxArea=!0;return shadow(this,"MAX_AREA",this._guessMax(this.#O,this.MAX_DIM,128,0)**2)}static set MAX_AREA(e){if(e>=0){this._hasMaxArea=!0;shadow(this,"MAX_AREA",e)}}static setOptions({canvasMaxAreaInBytes:e=-1,isImageDecoderSupported:t=!1}){this._hasMaxArea||(this.MAX_AREA=e>>2);this.#M=t}static _areGoodDims(e,t){try{const a=new OffscreenCanvas(e,t),r=a.getContext("2d")\ -;r.fillRect(0,0,1,1);const i=r.getImageData(0,0,1,1).data[3];a.width=a.height=1;return 0!==i}catch{return!1}}static _guessMax(e,t,a,r){for(;e+a+1va){const e=this.#D();if(e)return e}const r=this._encodeBMP();let i,n;if(await ImageResizer.canUseImageDecoder){i=new ImageD\ -ecoder({data:r,type:"image/bmp",preferAnimation:!1,transfer:[r.buffer]});n=i.decode().catch((e=>{warn(`BMP image decoding failed: ${e}`);return createImageBitmap(new Blob([this._encodeBMP().buffer],{type:"image/bmp"}))})).finally((()=>{i.close()}))}else n=createImageBitmap(new Blob([r.buffer],{type:"image/bmp"}));const{MAX_AREA:s,MAX_DIM:o}=ImageResizer,c=Math.max(t/o,a/o,Math.sqrt(t*a/s)),l=Math.max(c,2),h=Math.round(10*(c+1.25))/10/l,u=Math.floor(Math.log2(h)),d=new Array(u+2).fill(2);d[0]=l;d\ -.splice(-1,1,h/(1<>s,c=r>>s;let l,h=r;try{l=new Uint8Array(n)}catch{let e=Math.floor(Math.log2(n+1));f\ -or(;;)try{l=new Uint8Array(2**e-1);break}catch{e-=1}h=Math.floor((2**e-1)/(4*a));const t=a*h*4;t>s;e>3,s=a+3&-4;if(a!==s){const e=new Uint8Array(s*t);let r=0;for(let n=0,o=t*a;ni&&(r=i)}else{for(;!this.eof;)this.readBlock(t);r=this.bufferLength}this.pos=r;return this.buffer.subarray(a,r)}async getImageData(e,t){if(!this.canAsyncDecodeImageFromBuffer)return this.isAsyncDecoder?this.decodeImage(null,t):this.getBytes(e,t);const a=await this.stream.asyncGetBytes();return this.decodeImage(a,t)}reset(){this.pos=0}makeSubStream(e,t,a=\ -null){if(void 0===t)for(;!this.eof;)this.readBlock();else{const a=e+t;for(;this.bufferLength<=a&&!this.eof;)this.readBlock()}return new Stream(this.buffer,e,t,a)}getBaseStreams(){return this.str?this.str.getBaseStreams():null}}class StreamsSequenceStream extends DecodeStream{constructor(e,t=null){e=e.filter((e=>e instanceof BaseStream));let a=0;for(const t of e)a+=t instanceof DecodeStream?t._rawMinBufferLength:t.length;super(a);this.streams=e;this._onError=t}readBlock(){const e=this.streams;if(\ -0===e.length){this.eof=!0;return}const t=e.shift();let a;try{a=t.getBytes()}catch(e){if(this._onError){this._onError(e,t.dict?.objId);return}throw e}const r=this.bufferLength,i=r+a.length;this.ensureBuffer(i).set(a,r);this.bufferLength=i}getBaseStreams(){const e=[];for(const t of this.streams){const a=t.getBaseStreams();a&&e.push(...a)}return e.length>0?e:null}}class ColorSpaceUtils{static parse({cs:e,xref:t,resources:a=null,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n,asy\ -ncIfNotCached:s=!1}){const o={xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n};let c,l,h;if(e instanceof Ref){l=e;const a=i.getByRef(l)||n.getByRef(l);if(a)return a;e=t.fetch(e)}if(e instanceof Name){c=e.name;const t=n.getByName(c);if(t)return t}try{h=this.#B(e,o)}catch(e){if(s&&!(e instanceof MissingDataException))return Promise.reject(e);throw e}if(c||l){n.set(c,l,h);l&&i.set(null,l,h)}return s?Promise.resolve(h):h}static#R(e,t){const{globalColorSpaceCach\ -e:a}=t;let r;if(e instanceof Ref){r=e;const t=a.getByRef(r);if(t)return t}const i=this.#B(e,t);r&&a.set(null,r,i);return i}static#B(e,t){const{xref:a,resources:r,pdfFunctionFactory:i,globalColorSpaceCache:n}=t;if((e=a.fetchIfRef(e))instanceof Name)switch(e.name){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"DeviceRGBA":return this.rgba;case"CMYK":case"DeviceCMYK":return this.cmyk;case"Pattern":return new PatternCS(null);default:if(r instanceof Dict){con\ -st a=r.get("ColorSpace");if(a instanceof Dict){const r=a.get(e.name);if(r){if(r instanceof Name)return this.#B(r,t);e=r;break}}}warn(`Unrecognized ColorSpace: ${e.name}`);return this.gray}if(Array.isArray(e)){const r=a.fetchIfRef(e[0]).name;let s,o,c,l,h,u;switch(r){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"CMYK":case"DeviceCMYK":return this.cmyk;case"CalGray":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.get("Gamma"\ -);return new CalGrayCS(l,h,u);case"CalRGB":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.getArray("Gamma");const d=s.getArray("Matrix");return new CalRGBCS(l,h,u,d);case"ICCBased":const f=e[1]instanceof Ref;if(f){const t=n.getByRef(e[1]);if(t)return t}const g=a.fetchIfRef(e[1]),p=g.dict;o=p.get("N");if(IccColorSpace.isUsable)try{const t=new IccColorSpace(g.getBytes(),"ICCBased",o);f&&n.set(null,e[1],t);return t}catch(t){if(t instanceof MissingDataException)throw \ -t;warn(`ICCBased color space (${e[1]}): "${t}".`)}const m=p.getRaw("Alternate");if(m){const e=this.#R(m,t);if(e.numComps===o)return e;warn("ICCBased color space: Ignoring incorrect /Alternate entry.")}if(1===o)return this.gray;if(3===o)return this.rgb;if(4===o)return this.cmyk;break;case"Pattern":c=e[1]||null;c&&(c=this.#R(c,t));return new PatternCS(c);case"I":case"Indexed":c=this.#R(e[1],t);const b=MathClamp(a.fetchIfRef(e[2]),0,255),y=a.fetchIfRef(e[3]);return new IndexedCS(c,b,y);case"Separat\ -ion":case"DeviceN":const w=a.fetchIfRef(e[1]);o=Array.isArray(w)?w.length:1;c=this.#R(e[2],t);const x=i.create(e[3]);return new AlternateCS(o,c,x);case"Lab":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");const S=s.getArray("Range");return new LabCS(l,h,S);default:warn(`Unimplemented ColorSpace object: ${r}`);return this.gray}}warn(`Unrecognized ColorSpace object: ${e}`);return this.gray}static get gray(){return shadow(this,"gray",new DeviceGrayCS)}static get rgb(){ret\ -urn shadow(this,"rgb",new DeviceRgbCS)}static get rgba(){return shadow(this,"rgba",new DeviceRgbaCS)}static get cmyk(){if(CmykICCBasedCS.isUsable)try{return shadow(this,"cmyk",new CmykICCBasedCS)}catch{warn("CMYK fallback: DeviceCMYK")}return shadow(this,"cmyk",new DeviceCmykCS)}}class JpegError extends fa{constructor(e){super(e,"JpegError")}}class DNLMarkerError extends fa{constructor(e,t){super(e,"DNLMarkerError");this.scanLines=t}}class EOIMarkerError extends fa{constructor(e){super(e,"EOIMar\ -kerError")}}const ja=new Uint8Array([0,1,8,16,9,2,3,10,17,24,32,25,18,11,4,5,12,19,26,33,40,48,41,34,27,20,13,6,7,14,21,28,35,42,49,56,57,50,43,36,29,22,15,23,30,37,44,51,58,59,52,45,38,31,39,46,53,60,61,54,47,55,62,63]),_a=4017,Ua=799,Xa=3406,qa=2276,Ha=1567,Wa=3784,za=5793,$a=2896;function buildHuffmanTable(e,t){let a,r,i=0,n=16;for(;n>0&&!e[n-1];)n--;const s=[{children:[],index:0}];let o,c=s[0];for(a=0;a0;)c=s.pop();c\ -.index++;s.push(c);for(;s.length<=a;){s.push(o={children:[],index:0});c.children[c.index]=o.children;c=o}i++}if(a+10){g--;return f>>g&1}f=e[t++];if(255===f){const r=e[t++];if(r){if(220===r&&l){const r=readUint16(\ -e,t+=2);t+=2;if(r>0&&r!==a.scanLines)throw new DNLMarkerError("Found DNL marker (0xFFDC) while parsing scan data",r)}else if(217===r){if(l){const e=y*(8===a.precision?8:0);if(e>0&&Math.round(a.scanLines/e)>=5)throw new DNLMarkerError("Found EOI marker (0xFFD9) while parsing scan data, possibly caused by incorrect `scanLines` parameter",e)}throw new EOIMarkerError("Found EOI marker (0xFFD9) while parsing scan data")}throw new JpegError(`unexpected marker ${(f<<8|r).toString(16)}`)}}g=7;return f>>\ ->7}function decodeHuffman(e){let t=e;for(;;){t=t[readBit()];switch(typeof t){case"number":return t;case"object":continue}throw new JpegError("invalid huffman sequence")}}function receive(e){let t=0;for(;e>0;){t=t<<1|readBit();e--}return t}function receiveAndExtend(e){if(1===e)return 1===readBit()?1:-1;const t=receive(e);return t>=1<0){p--;return}let a=n;const r=s;for(;a<=r;){const r=decodeHuffman(e.huffmanTableAC),i=15&r,n=r>>4;if(0===i){if(n<15){p=receive(\ -n)+(1<>4;if(0===i)if(l<15){p=receive(l)+(1<>4;if(0===r){if(n<15)break;i+=16;continue}i+=n;const s=ja[i];e.blockData[t+s]=receive\ -AndExtend(r);i++}};let T,O=0;const M=1===w?r[0].blocksPerLine*r[0].blocksPerColumn:h*a.mcusPerColumn;let D,R;for(;O<=M;){const a=i?Math.min(M-O,i):M;if(a>0){for(S=0;S0?"unexpected":"excessive"} MCU data, current marker is: $\ -{T.invalid}`);t=T.offset}if(!(T.marker>=65488&&T.marker<=65495))break;t+=2}return t-d}function quantizeAndInverse(e,t,a){const r=e.quantizationTable,i=e.blockData;let n,s,o,c,l,h,u,d,f,g,p,m,b,y,w,x,S;if(!r)throw new JpegError("missing required Quantization Table.");for(let e=0;e<64;e+=8){f=i[t+e];g=i[t+e+1];p=i[t+e+2];m=i[t+e+3];b=i[t+e+4];y=i[t+e+5];w=i[t+e+6];x=i[t+e+7];f*=r[e];if(g|p|m|b|y|w|x){g*=r[e+1];p*=r[e+2];m*=r[e+3];b*=r[e+4];y*=r[e+5];w*=r[e+6];x*=r[e+7];n=za*f+128>>8;s=za*b+128>>8;\ -o=p;c=w;l=$a*(g-x)+128>>8;d=$a*(g+x)+128>>8;h=m<<4;u=y<<4;n=n+s+1>>1;s=n-s;S=o*Wa+c*Ha+128>>8;o=o*Ha-c*Wa+128>>8;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;a[e]=n+d;a[e+7]=n-d;a[e+1]=s+u;a[e+6]=s-u;a[e+2]=o+h;a[e+5]=o-h;a[e+3]=c+l;a[e+4]=c-l}else{S=za*f+512>>10;a[e]=S;a[e+1]=S;a[e+2]=S;a[e+3]=S;a[e+4]=S;a[e+5]=S;a[e+6]=S;a[e+7]=S}}for(let e=0;e<8;++e){f=a[e];g=a[e+8];p=a[e+16]\ -;m=a[e+24];b=a[e+32];y=a[e+40];w=a[e+48];x=a[e+56];if(g|p|m|b|y|w|x){n=za*f+2048>>12;s=za*b+2048>>12;o=p;c=w;l=$a*(g-x)+2048>>12;d=$a*(g+x)+2048>>12;h=m;u=y;n=4112+(n+s+1>>1);s=n-s;S=o*Wa+c*Ha+2048>>12;o=o*Ha-c*Wa+2048>>12;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;f=n+d;x=n-d;g=s+u;w=s-u;p=o+h;y=o-h;m=c+l;b=c-l;f<16?f=0:f>=4080?f=255:f>>=4;g<16?g=0:g>=4080?g=255:g>>=4;p<16?p=\ -0:p>=4080?p=255:p>>=4;m<16?m=0:m>=4080?m=255:m>>=4;b<16?b=0:b>=4080?b=255:b>>=4;y<16?y=0:y>=4080?y=255:y>>=4;w<16?w=0:w>=4080?w=255:w>>=4;x<16?x=0:x>=4080?x=255:x>>=4;i[t+e]=f;i[t+e+8]=g;i[t+e+16]=p;i[t+e+24]=m;i[t+e+32]=b;i[t+e+40]=y;i[t+e+48]=w;i[t+e+56]=x}else{S=za*f+8192>>14;S=S<-2040?0:S>=2024?255:S+2056>>4;i[t+e]=S;i[t+e+8]=S;i[t+e+16]=S;i[t+e+24]=S;i[t+e+32]=S;i[t+e+40]=S;i[t+e+48]=S;i[t+e+56]=S}}}function buildComponentData(e,t){const a=t.blocksPerLine,r=t.blocksPerColumn,i=new Int16Arra\ -y(64);for(let e=0;e=r)return null;const n=readUint16(e,t);if(n>=65472&&n<=65534)return{invalid:null,marker:n,offset:t};let s=readUint16(e,i);for(;!(s>=65472&&s<=65534);){if(++i>=r)return null;s=readUint16(e,i)}return{invalid:n.toString(16),marker:s,offset:i}}function prepareComponents(e){const t=Math.ceil(e.samplesPerLine/8/\ -e.maxH),a=Math.ceil(e.scanLines/8/e.maxV);for(const r of e.components){const i=Math.ceil(Math.ceil(e.samplesPerLine/8)*r.h/e.maxH),n=Math.ceil(Math.ceil(e.scanLines/8)*r.v/e.maxV),s=t*r.h,o=64*(a*r.v)*(s+1);r.blockData=new Int16Array(o);r.blocksPerLine=i;r.blocksPerColumn=n}e.mcusPerLine=t;e.mcusPerColumn=a}function readDataBlock(e,t){const a=readUint16(e,t);let r=(t+=2)+a-2;const i=findNextFileMarker(e,r,t);if(i?.invalid){warn("readDataBlock - incorrect length, current marker is: "+i.invalid);r\ -=i.offset}const n=e.subarray(t,r);return{appData:n,oldOffset:t,newOffset:t+n.length}}function skipData(e,t){const a=readUint16(e,t),r=(t+=2)+a-2,i=findNextFileMarker(e,r,t);return i?.invalid?i.offset:r}class JpegImage{constructor({decodeTransform:e=null,colorTransform:t=-1}={}){this._decodeTransform=e;this._colorTransform=t}static canUseImageDecoder(e,t=-1){let a=null,r=0,i=null,n=readUint16(e,r);r+=2;if(65496!==n)throw new JpegError("SOI not found");n=readUint16(e,r);r+=2;e:for(;65497!==n;){swi\ -tch(n){case 65505:const{appData:t,oldOffset:s,newOffset:o}=readDataBlock(e,r);r=o;if(69===t[0]&&120===t[1]&&105===t[2]&&102===t[3]&&0===t[4]&&0===t[5]){if(a)throw new JpegError("Duplicate EXIF-blocks found.");a={exifStart:s+6,exifEnd:o}}n=readUint16(e,r);r+=2;continue;case 65472:case 65473:case 65474:i=e[r+7];break e;case 65535:255!==e[r]&&r--}r=skipData(e,r);n=readUint16(e,r);r+=2}return 4===i||3===i&&0===t?null:a||{}}parse(e,{dnlScanLines:t=null}={}){let a,r,i=0,n=null,s=null,o=0;const c=[],l=\ -[],h=[];let u=readUint16(e,i);i+=2;if(65496!==u)throw new JpegError("SOI not found");u=readUint16(e,i);i+=2;e:for(;65497!==u;){let d,f,g;switch(u){case 65504:case 65505:case 65506:case 65507:case 65508:case 65509:case 65510:case 65511:case 65512:case 65513:case 65514:case 65515:case 65516:case 65517:case 65518:case 65519:case 65534:const{appData:p,newOffset:m}=readDataBlock(e,i);i=m;65504===u&&74===p[0]&&70===p[1]&&73===p[2]&&70===p[3]&&0===p[4]&&(n={version:{major:p[5],minor:p[6]},densityUnits:\ -p[7],xDensity:p[8]<<8|p[9],yDensity:p[10]<<8|p[11],thumbWidth:p[12],thumbHeight:p[13],thumbData:p.subarray(14,14+3*p[12]*p[13])});65518===u&&65===p[0]&&100===p[1]&&111===p[2]&&98===p[3]&&101===p[4]&&(s={version:p[5]<<8|p[6],flags0:p[7]<<8|p[8],flags1:p[9]<<8|p[10],transformCode:p[11]});break;case 65499:const b=readUint16(e,i);i+=2;const y=b+i-2;let w;for(;i>4){if(t>>4!=1)throw new JpegError("DQT - invalid table spec");for(f=0;f<64;f++){w=ja[f];a[w]=\ -readUint16(e,i);i+=2}}else for(f=0;f<64;f++){w=ja[f];a[w]=e[i++]}c[15&t]=a}break;case 65472:case 65473:case 65474:if(a)throw new JpegError("Only single frame JPEGs supported");i+=2;a={};a.extended=65473===u;a.progressive=65474===u;a.precision=e[i++];const x=readUint16(e,i);i+=2;a.scanLines=t||x;a.samplesPerLine=readUint16(e,i);i+=2;a.components=[];a.componentIds={};const S=e[i++];let k=0,C=0;for(d=0;d>4,n=15&e[i+1];k>4?l:h)[15&t]=buildHuffmanTable(a,n)}break;case 65501:i+=2;r=readUint16(e,i);i+=2;break;case 65498:const F=1==++o&&!t;i+=2;const T=e[i++],O=[];for(d=0;d>4];n.huffmanTableAC=l[15&s];O.push(n)}const M=e[i++],D=e[i++],R=e[i++];try{i+=decodeScan(e,i,a,O,r,M,D,R>>4,15&R,F)}catch(t){if(t instanceof DNLMarkerError){warn(`${t.message} -- attempting to re-parse the JPEG image.`);return this.parse(e,{dnlScanLines:t.scanLines})}if(t instanceof EOIMarkerError){warn(`${t.message} -- ignoring the rest of the image data.`);break e}throw t}break;case 65500:i+=4;break;case 65\ -535:255!==e[i]&&i--;break;default:const N=findNextFileMarker(e,i-2,i-3);if(N?.invalid){warn("JpegImage.parse - unexpected data, current marker is: "+N.invalid);i=N.offset;break}if(!N||i>=e.length-1){warn("JpegImage.parse - reached the end of the image data without finding an EOI marker (0xFFD9).");break e}throw new JpegError("JpegImage.parse - unknown marker: "+u.toString(16))}u=readUint16(e,i);i+=2}if(!a)throw new JpegError("JpegImage.parse - no frame data found.");this.width=a.samplesPerLine;t\ -his.height=a.scanLines;this.jfif=n;this.adobe=s;this.components=[];for(const e of a.components){const t=c[e.quantizationId];t&&(e.quantizationTable=t);this.components.push({index:e.index,output:buildComponentData(0,e),scaleX:e.h/a.maxH,scaleY:e.v/a.maxV,blocksPerLine:e.blocksPerLine,blocksPerColumn:e.blocksPerColumn})}this.numComponents=this.components.length}_getLinearizedBlockData(e,t,a=!1){const r=this.width/e,i=this.height/t;let n,s,o,c,l,h,u,d,f,g,p,m=0;const b=this.components.length,y=e*t*\ -b,w=new Uint8ClampedArray(y),x=new Uint32Array(e),S=4294967288;let k;for(u=0;u>8)+C[f+1];return w}get _is\ -ColorConversionNeeded(){return this.adobe?!!this.adobe.transformCode:3===this.numComponents?0!==this._colorTransform&&(82!==this.components[0].index||71!==this.components[1].index||66!==this.components[2].index):1===this._colorTransform}_convertYccToRgb(e){let t,a,r;for(let i=0,n=e.length;i4)throw new JpegError("Unsupported color mode");const n=this._getLinearizedBlockData(e,t,i);if(1===this.numComponents&&(a||r)){const e=n.length*(a?4:3),t=new Uint\ -8ClampedArray(e);let r=0;if(a)!function grayToRGBA(e,t){if(FeatureTest.isLittleEndian)for(let a=0,r=e.length;a0&&(e=e.subarray(t));break}return e}decodeImage(e){if(this.eof)return this.buffer;e=this.#N(e||this.bytes);const t=new JpegImage(this.jpegOptions);t.parse(e);const a=t.getData({w\ -idth:this.drawWidth,height:this.drawHeight,forceRGBA:this.forceRGBA,forceRGB:this.forceRGB,isSourcePDF:!0});this.buffer=a;this.bufferLength=a.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}async getTransferableImage(){if(!await JpegStream.canUseImageDecoder)return null;const e=this.jpegOptions;if(e.decodeTransform)return null;let t;try{const a=this.canAsyncDecodeImageFromBuffer&&await this.stream.asyncGetBytes()||this.bytes;if(!a)return null;\ -let r=this.#N(a);const i=JpegImage.canUseImageDecoder(r,e.colorTransform);if(!i)return null;if(i.exifStart){r=r.slice();r.fill(0,i.exifStart,i.exifEnd)}t=new ImageDecoder({data:r,type:"image/jpeg",preferAnimation:!1});return(await t.decode()).image}catch(e){warn(`getTransferableImage - failed: "${e}".`);return null}finally{t?.close()}}}var OpenJPEG=async function(e={}){var t,a,r=e,i=new Promise(((e,r)=>{t=e;a=r})),n="./this.program",quit_=(e,t)=>{throw t},s=import.meta.url;try{new URL(".",s).hre\ -f}catch{}var o,c,l,h,u,d,f=console.log.bind(console),g=console.error.bind(console),p=!1;function updateMemoryViews(){var e=o.buffer;l=new Int8Array(e);new Int16Array(e);h=new Uint8Array(e);new Uint16Array(e);u=new Int32Array(e);d=new Uint32Array(e);new Float32Array(e);new Float64Array(e);new BigInt64Array(e);new BigUint64Array(e)}var m=0,b=null;class ExitStatus{name="ExitStatus";constructor(e){this.message=`Program terminated with exit(${e})`;this.status=e}}var callRuntimeCallbacks=e=>{for(;e.le\ -ngth>0;)e.shift()(r)},y=[],addOnPostRun=e=>y.push(e),w=[],addOnPreRun=e=>w.push(e),x=!0,S=0,k={},handleException=e=>{if(e instanceof ExitStatus||"unwind"==e)return c;quit_(0,e)},keepRuntimeAlive=()=>x||S>0,_proc_exit=e=>{c=e;if(!keepRuntimeAlive()){r.onExit?.(e);p=!0}quit_(0,new ExitStatus(e))},_exit=(e,t)=>{c=e;_proc_exit(e)},callUserCallback=e=>{if(!p)try{e();(()=>{if(!keepRuntimeAlive())try{_exit(c)}catch(e){handleException(e)}})()}catch(e){handleException(e)}},growMemory=e=>{var t=(e-o.buffe\ -r.byteLength+65535)/65536|0;try{o.grow(t);updateMemoryViews();return 1}catch(e){}},C={},getEnvStrings=()=>{if(!getEnvStrings.strings){var e={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:("object"==typeof navigator&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:n||"./this.program"};for(var t in C)void 0===C[t]?delete e[t]:e[t]=C[t];var a=[];for(var t in e)a.push(`${t}=${e[t]}`);getEnvStrings.strings=a}return getEnvStrings.strings},\ -lengthBytesUTF8=e=>{for(var t=0,a=0;a=55296&&r<=57343){t+=4;++a}else t+=3}return t},v=[null,[],[]],F="undefined"!=typeof TextDecoder?new TextDecoder:void 0,UTF8ArrayToString=(e,t=0,a=NaN)=>{for(var r=t+a,i=t;e[i]&&!(i>=r);)++i;if(i-t>16&&e.buffer&&F)return F.decode(e.subarray(t,i));for(var n="";t>10,56320|1023&l)}}else n+=String.fromCharCode((31&s)<<6|o)}else n+=String.fromCharCode(s)}return n},printChar=(e,t)=>{var a=v[e];if(0===t||10===t){(1===e?f:g)(UTF8ArrayToString(a));a.length=0}else a.push(t)},UTF8ToString=(e,t)=>e?UTF8ArrayToString(h,e,t):"";r.noExitRuntime&&(x=r.noExitRuntime);r.print&&(f=r.print);r.printErr&&(g=r.printErr);r.wasmBinary&&r.wasmBinary;r.arguments&&r.argumen\ -ts;r.thisProgram&&(n=r.thisProgram);r.writeArrayToMemory=(e,t)=>{l.set(e,t)};var T={l:()=>function abort(e){r.onAbort?.(e);g(e="Aborted("+e+")");p=!0;e+=". 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async decode(e,{numComponents:t=4,isIndexedColormap:a=!1,smaskInData:r=!1,reducePower:i=0}={}){if(!this.#L){const{promise:e,resolve:t}=Promise.withResolvers(),a=[e];this.#v?a.push(Ga({warn,instantiateWasm:this.#U.bind(this,t)})):this.#_(t);this.#L=Promise.race(a)}const n=await this.#L;if(!n)throw new JpxError("OpenJPEG failed to initialize");let s;try{const o=e.le\ -ngth;s=n._malloc(o);n.writeArrayToMemory(e,s);if(n._jp2_decode(s,o,t>0?t:0,!!a,!!r,i)){const{errorMessages:e}=n;if(e){delete n.errorMessages;throw new JpxError(e)}throw new JpxError("Unknown error")}const{imageData:c}=n;n.imageData=null;return c}finally{s&&n._free(s)}}static cleanup(){this.#L=null}static parseImageProperties(e){let t=e.getByte();for(;t>=0;){const a=t;t=e.getByte();if(65361===(a<<8|t)){e.skip(4);const t=e.getInt32()>>>0,a=e.getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0;e.s\ -kip(16);return{width:t-r,height:a-i,bitsPerComponent:8,componentsCount:e.getUint16()}}}throw new JpxError("No size marker found in JPX stream")}}function addState(e,t,a,r,i){let n=e;for(let e=0,a=t.length-1;e1e3){l=Math.max(l,d);f+=u+2;d=0;u=0}h.push({transform:t,x:d,y:f,w:a.width,h:a.height});d+=a.width+2;u=Math.max(u,a.height)}const g=Math.max(l,d)+1,p=f+u+1,m\ -=new Uint8Array(g*p*4),b=g<<2;for(let e=0;e=0;){t[n-4]=t[n];t[n-3]=t[n+1];t[n-2]=t[n+2];t[n-1]=t[n+3];t[n+a]=t[n+a-4];t[n+a+1]=t[n+a-3];t[n+a+2]=t[n+a-2];t[n+a+3]=t[n+a-1];n-=b}}const y={width:g,height:p};if(e.isOffscreenCanvasSupported){const e=new OffscreenCanvas(g,p);e.getContext("2d").putIm\ -ageData(new ImageData(new Uint8ClampedArray(m.buffer),g,p),0,0);y.bitmap=e.transferToImageBitmap();y.data=null}else{y.kind=v;y.data=m}a.splice(n,4*c,Zt);r.splice(n,4*c,[y,h]);return n+1}));addState(Va,[Be,Ne,Vt,Re],null,(function iterateImageMaskGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;case 1:return a[t]===Ne;case 2:return a[t]===Vt;case 3:return a[t]===Re}throw new Error(`iterateImageMaskGroup - invalid pos: ${r}`)}),(function foundImageMaskGroup(e,t){c\ -onst a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1;let c=Math.floor((t-n)/4);if(c<10)return t-(t-n)%4;let l,h,u=!1;const d=r[o][0],f=r[s][0],g=r[s][1],p=r[s][2],m=r[s][3];if(g===p){u=!0;l=s+4;let e=o+4;for(let t=1;t=4&&a[n-4]===a[s]&&a[n-3]===a[o]&&a[n-2]===a[c]&&a[n-1]===a[l]&&r[n-4][0]===h&&r[n-4][1]===u){d++;f-=5}let g=f+4;for(let e=1;e{const t=e.argsArray,a=t[e.iCurr-1][0];if(a!==qe&&a!==He&&a!==$e&&a!==Ge&&a!==Ve&&a!==Ke)return!0;const r=t[e.iCurr-2];return 1===r[\ -0]&&0===r[1]&&0===r[2]&&1===r[3]}),(()=>!1),((e,t)=>{const{fnArray:a,argsArray:r}=e,i=e.iCurr,n=i-3,s=i-2,o=r[i-1],c=r[s],[,[l],h]=o;if(h){Util.scaleMinMax(c,h);for(let e=0,t=l.length;e=a)break}r=(r||Va)[e[t]];if(r&&!Array.isArray(r)){n.iCurr=t;t++;if(!r.checkFn||(0,r.checkFn)(n)){i=r;r=null}else r=null}else t++}this.state=r;this.match=i;this.lastProcessed=t}flush(){for(;this.match;){const e=this.queue.fnArray.length;this.lastProcessed=(0,this.match.processFn)(this.context,e);this.match=null;this.state=null;this._optimize()}}reset(){this.state=null;this.match=null;this.lastProcessed=0}}class OperatorList{static CHUNK_SI\ -ZE=1e3;static CHUNK_SIZE_ABOUT=this.CHUNK_SIZE-5;static isOffscreenCanvasSupported=!1;constructor(e=0,t){this._streamSink=t;this.fnArray=[];this.argsArray=[];this.optimizer=!t||e&d?new NullOptimizer(this):new QueueOptimizer(this);this.dependencies=new Set;this._totalLength=0;this.weight=0;this._resolved=t?null:Promise.resolve()}static setOptions({isOffscreenCanvasSupported:e}){this.isOffscreenCanvasSupported=e}get length(){return this.argsArray.length}get ready(){return this._resolved||this._str\ -eamSink.ready}get totalLength(){return this._totalLength+this.length}addOp(e,t){this.optimizer.push(e,t);this.weight++;this._streamSink&&(this.weight>=OperatorList.CHUNK_SIZE||this.weight>=OperatorList.CHUNK_SIZE_ABOUT&&(e===Re||e===et))&&this.flush()}addImageOps(e,t,a,r=!1){if(r){this.addOp(Be);this.addOp(De,[[["SMask",!1]]])}void 0!==a&&this.addOp(jt,["OC",a]);this.addOp(e,t);void 0!==a&&this.addOp(_t,[]);r&&this.addOp(Re)}addDependency(e){if(!this.dependencies.has(e)){this.dependencies.add(e)\ -;this.addOp(ke,[e])}}addDependencies(e){for(const t of e)this.addDependency(t)}addOpList(e){if(e instanceof OperatorList){for(const t of e.dependencies)this.dependencies.add(t);for(let t=0,a=e.length;t>>0}function hexToStr(e,t){return 1===t?String.fromCharCode(e[0],e[1]):3===t?String.fromCharCode(e[0],e[1],e[2],e[3]):String.fromCharCode(...e.subarray(0,t+1))}function addHex(e,t,a){let r=0;for(let i=a;i>=0;i--){r+=e[i]+t[i];e[i]=255&r;r>>=8}}function incHex(e,t){let a=1;for(let r=t;r>=0&&a>0;r--){a+=e[r];e[r]=255&a;a>>=8}}const Ka=16;class\ - BinaryCMapStream{constructor(e){this.buffer=e;this.pos=0;this.end=e.length;this.tmpBuf=new Uint8Array(19)}readByte(){return this.pos>=this.end?-1:this.buffer[this.pos++]}readNumber(){let e,t=0;do{const a=this.readByte();if(a<0)throw new FormatError("unexpected EOF in bcmap");e=!(128&a);t=t<<7|127&a}while(!e);return t}readSigned(){const e=this.readNumber();return 1&e?~(e>>>1):e>>>1}readHex(e,t){e.set(this.buffer.subarray(this.pos,this.pos+t+1));this.pos+=t+1}readHexNumber(e,t){let a;const r=this\ -.tmpBuf;let i=0;do{const e=this.readByte();if(e<0)throw new FormatError("unexpected EOF in bcmap");a=!(128&e);r[i++]=127&e}while(!a);let n=t,s=0,o=0;for(;n>=0;){for(;o<8&&r.length>0;){s|=r[--i]<>=8;o-=8}}readHexSigned(e,t){this.readHexNumber(e,t);const a=1&e[t]?255:0;let r=0;for(let i=0;i<=t;i++){r=(1&r)<<8|e[i];e[i]=r>>1^a}}readString(){const e=this.readNumber(),t=new Array(e);for(let a=0;a=0;){const e=d>>5;if(7===e){switch(31&d){case 0:r.readString();break;case 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-9,1280],[9,1344],[9,1408],[7,256],[7,256],[7,256],[7,256],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5\ -,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],\ -[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[4,6],[4,6],[4,6],\ -[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7]],er=[[-1,-1],[-1,-1],[12,-2],[12,-2],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[\ --1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[11,1792],[11,1792],[11,1792],[11,1792],[12,1984],[12,1984],[12,2048],[12,2048],[12,2112],[12,2112],[12,2176],[12,2176],[12,2240],[12,2240],[12,2304],[12,2304],[11,1856],[11,1856],[11,1856],[11,1856],[11,1920],[11,1920],[11,1920],[11,1920],[12,2368],[12,2368],[12,2432],[12,2432],[12,2496],[12,2496],[12,2560],[12,2560],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[10,1\ -8],[10,18],[12,52],[12,52],[13,640],[13,704],[13,768],[13,832],[12,55],[12,55],[12,56],[12,56],[13,1280],[13,1344],[13,1408],[13,1472],[12,59],[12,59],[12,60],[12,60],[13,1536],[13,1600],[11,24],[11,24],[11,24],[11,24],[11,25],[11,25],[11,25],[11,25],[13,1664],[13,1728],[12,320],[12,320],[12,384],[12,384],[12,448],[12,448],[13,512],[13,576],[12,53],[12,53],[12,54],[12,54],[13,896],[13,960],[13,1024],[13,1088],[13,1152],[13,1216],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64]],tr\ -=[[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[11,23],[11,23],[12,50],[12,51],[12,44],[12,45],[12,46],[12,47],[12,57],[12,58],[12,61],[12,256],[10,16],[10,16],[10,16],[10,16],[10,17],[10,17],[10,17],[10,17],[12,48],[12,49],[12,62],[12,63],[12,30],[12,31],[12,32],[12,33],[12,40],[12,41],[11,22],[11,22],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[7,10],[7,10],[7,\ -10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[12,128],[12,\ -192],[12,26],[12,27],[12,28],[12,29],[11,19],[11,19],[11,20],[11,20],[12,34],[12,35],[12,36],[12,37],[12,38],[12,39],[11,21],[11,21],[12,42],[12,43],[10,0],[10,0],[10,0],[10,0],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12]],ar=[[-1,-1],[-1,-1],[-1,-1],[-1,-1],[6,9],[6,8],[5,7],[5,7],[4,6],[4,6],[4,6],[4,6],[4,5],[4,5],[4\ -,5],[4,5],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2]];class CCITTFaxDecoder{constructor(e,t={}){if("function"!=typeof e?.next)throw new Error(\'CCITTFaxDecoder - invalid "source" parameter.\');this.source=e;this.eof=!1;this.encoding=t.K||0;this.eoline=t.End\ -OfLine||!1;this.byteAlign=t.EncodedByteAlign||!1;this.columns=t.Columns||1728;this.rows=t.Rows||0;this.eoblock=t.EndOfBlock??!0;this.black=t.BlackIs1||!1;this.codingLine=new Uint32Array(this.columns+1);this.refLine=new Uint32Array(this.columns+2);this.codingLine[0]=this.columns;this.codingPos=0;this.row=0;this.nextLine2D=this.encoding<0;this.inputBits=0;this.inputBuf=0;this.outputBits=0;this.rowsDone=!1;let a;for(;0===(a=this._lookBits(12));)this._eatBits(1);1===a&&this._eatBits(12);if(this.enco\ -ding>0){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}}readNextChar(){if(this.eof)return-1;const e=this.refLine,t=this.codingLine,a=this.columns;let r,i,n,s,o;if(0===this.outputBits){this.rowsDone&&(this.eof=!0);if(this.eof)return-1;this.err=!1;let n,o,c;if(this.nextLine2D){for(s=0;t[s]=64);do{o+=c=this._getWhiteCode()}while(c>=64)}else{do{n+=c=this._getWhiteCode()}while(c>=64);do{o+=c=this._getBlackCode()}while(c>=64)}this._addPixels(t[this.codingPos]+n,i);t[this.codingPos]0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]0?--r:++r;for(;e[r]<=t[this.codi\ -ngPos]&&e[r]0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]=64);else do{n+=c=this._getWhiteCode()}while(c>=64);this._addPixels(t[this.codingPos]+n,i);i^=1}}let l=!1;this.byteAlign&&(this.inp\ -utBits&=-8);if(this.eoblock||this.row!==this.rows-1){n=this._lookBits(12);if(this.eoline)for(;n!==Ja&&1!==n;){this._eatBits(1);n=this._lookBits(12)}else for(;0===n;){this._eatBits(1);n=this._lookBits(12)}if(1===n){this._eatBits(12);l=!0}else n===Ja&&(this.eof=!0)}else this.rowsDone=!0;if(!this.eof&&this.encoding>0&&!this.rowsDone){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}if(this.eoblock&&l&&this.byteAlign){n=this._lookBits(12);if(1===n){this._eatBits(12);if(this.encoding>0){this._look\ -Bits(1);this._eatBits(1)}if(this.encoding>=0)for(s=0;s<4;++s){n=this._lookBits(12);1!==n&&info("bad rtc code: "+n);this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}}this.eof=!0}}else if(this.err&&this.eoline){for(;;){n=this._lookBits(13);if(n===Ja){this.eof=!0;return-1}if(n>>1==1)break;this._eatBits(1)}this._eatBits(12);if(this.encoding>0){this._eatBits(1);this.nextLine2D=!(1&n)}}this.outputBits=t[0]>0?t[this.codingPos=0]:t[this.codingPos=1];this.row++}if(this.outputBits>\ -=8){o=1&this.codingPos?0:255;this.outputBits-=8;if(0===this.outputBits&&t[this.codingPos]n){o<<=n;1&this.codingPos||(o|=255>>8-n);this.outputBits-=n;n=0}else{o<<=this.outputBits;1&this.codingPos||(o|=255>>8-this.outputBits);n-=this.outputBits;this.outputBits=0;if(t[t\ -his.codingPos]0){o<<=n;n=0}}}while(n)}this.black&&(o^=255);return o}_addPixels(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}this.codingPos=r}_addPixelsNeg(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e\ -}else if(e0&&e=i){const t=a[e-i];if(t[0]===r){this._eatBits(r);return[!0,t[1],!0]}}}return[!1,0,!1]}_getTwoDimCode(){let e,t=0;if(this.eoblock){t=this._lookBits(7);e=Ya[t];if(e?.[0]>0){this._eatBits(e[0]);return e[1]}}else{const e=this._findTableCode(1,7,Ya);if(e[0]&&e[2\ -])return e[1]}info("Bad two dim code");return Ja}_getWhiteCode(){let e,t=0;if(this.eoblock){t=this._lookBits(12);if(t===Ja)return 1;e=t>>5?Qa[t>>3]:Za[t];if(e[0]>0){this._eatBits(e[0]);return e[1]}}else{let e=this._findTableCode(1,9,Qa);if(e[0])return e[1];e=this._findTableCode(11,12,Za);if(e[0])return e[1]}info("bad white code");this._eatBits(1);return 1}_getBlackCode(){let e,t;if(this.eoblock){e=this._lookBits(13);if(e===Ja)return 1;t=e>>7?!(e>>9)&&e>>7?tr[(e>>1)-64]:ar[e>>7]:er[e];if(t[0]>0){\ -this._eatBits(t[0]);return t[1]}}else{let e=this._findTableCode(2,6,ar);if(e[0])return e[1];e=this._findTableCode(7,12,tr,64);if(e[0])return e[1];e=this._findTableCode(10,13,er);if(e[0])return e[1]}info("bad black code");this._eatBits(1);return 1}_lookBits(e){let t;for(;this.inputBits>16-e;this.inputBuf=this.inputBuf<<8|t;this.inputBits+=8}return this.inputBuf>>this.inputBits-e&65535>>16-e}_eat\ -Bits(e){(this.inputBits-=e)<0&&(this.inputBits=0)}}class CCITTFaxStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;a instanceof Dict||(a=Dict.empty);const r={next:()=>e.getByte()};this.ccittFaxDecoder=new CCITTFaxDecoder(r,{K:a.get("K"),EndOfLine:a.get("EndOfLine"),EncodedByteAlign:a.get("EncodedByteAlign"),Columns:a.get("Columns"),Rows:a.get("Rows"),EndOfBlock:a.get("EndOfBlock"),BlackIs1:a.get("BlackIs1")})}readBlock(){for(;!this.eof;){const e=this.ccittFaxDec\ -oder.readNextChar();if(-1===e){this.eof=!0;return}this.ensureBuffer(this.bufferLength+1);this.buffer[this.bufferLength++]=e}}}const rr=new Int32Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),ir=new Int32Array([3,4,5,6,7,8,9,10,65547,65549,65551,65553,131091,131095,131099,131103,196643,196651,196659,196667,262211,262227,262243,262259,327811,327843,327875,327907,258,258,258]),nr=new Int32Array([1,2,3,4,65541,65543,131081,131085,196625,196633,262177,262193,327745,327777,393345,393409,45900\ -9,459137,524801,525057,590849,591361,657409,658433,724993,727041,794625,798721,868353,876545]),sr=[new Int32Array([459008,524368,524304,524568,459024,524400,524336,590016,459016,524384,524320,589984,524288,524416,524352,590048,459012,524376,524312,589968,459028,524408,524344,590032,459020,524392,524328,59e4,524296,524424,524360,590064,459010,524372,524308,524572,459026,524404,524340,590024,459018,524388,524324,589992,524292,524420,524356,590056,459014,524380,524316,589976,459030,524412,524348,59\ -0040,459022,524396,524332,590008,524300,524428,524364,590072,459009,524370,524306,524570,459025,524402,524338,590020,459017,524386,524322,589988,524290,524418,524354,590052,459013,524378,524314,589972,459029,524410,524346,590036,459021,524394,524330,590004,524298,524426,524362,590068,459011,524374,524310,524574,459027,524406,524342,590028,459019,524390,524326,589996,524294,524422,524358,590060,459015,524382,524318,589980,459031,524414,524350,590044,459023,524398,524334,590012,524302,524430,52436\ -6,590076,459008,524369,524305,524569,459024,524401,524337,590018,459016,524385,524321,589986,524289,524417,524353,590050,459012,524377,524313,589970,459028,524409,524345,590034,459020,524393,524329,590002,524297,524425,524361,590066,459010,524373,524309,524573,459026,524405,524341,590026,459018,524389,524325,589994,524293,524421,524357,590058,459014,524381,524317,589978,459030,524413,524349,590042,459022,524397,524333,590010,524301,524429,524365,590074,459009,524371,524307,524571,459025,524403,5\ -24339,590022,459017,524387,524323,589990,524291,524419,524355,590054,459013,524379,524315,589974,459029,524411,524347,590038,459021,524395,524331,590006,524299,524427,524363,590070,459011,524375,524311,524575,459027,524407,524343,590030,459019,524391,524327,589998,524295,524423,524359,590062,459015,524383,524319,589982,459031,524415,524351,590046,459023,524399,524335,590014,524303,524431,524367,590078,459008,524368,524304,524568,459024,524400,524336,590017,459016,524384,524320,589985,524288,5244\ -16,524352,590049,459012,524376,524312,589969,459028,524408,524344,590033,459020,524392,524328,590001,524296,524424,524360,590065,459010,524372,524308,524572,459026,524404,524340,590025,459018,524388,524324,589993,524292,524420,524356,590057,459014,524380,524316,589977,459030,524412,524348,590041,459022,524396,524332,590009,524300,524428,524364,590073,459009,524370,524306,524570,459025,524402,524338,590021,459017,524386,524322,589989,524290,524418,524354,590053,459013,524378,524314,589973,459029,\ -524410,524346,590037,459021,524394,524330,590005,524298,524426,524362,590069,459011,524374,524310,524574,459027,524406,524342,590029,459019,524390,524326,589997,524294,524422,524358,590061,459015,524382,524318,589981,459031,524414,524350,590045,459023,524398,524334,590013,524302,524430,524366,590077,459008,524369,524305,524569,459024,524401,524337,590019,459016,524385,524321,589987,524289,524417,524353,590051,459012,524377,524313,589971,459028,524409,524345,590035,459020,524393,524329,590003,524\ -297,524425,524361,590067,459010,524373,524309,524573,459026,524405,524341,590027,459018,524389,524325,589995,524293,524421,524357,590059,459014,524381,524317,589979,459030,524413,524349,590043,459022,524397,524333,590011,524301,524429,524365,590075,459009,524371,524307,524571,459025,524403,524339,590023,459017,524387,524323,589991,524291,524419,524355,590055,459013,524379,524315,589975,459029,524411,524347,590039,459021,524395,524331,590007,524299,524427,524363,590071,459011,524375,524311,524575\ -,459027,524407,524343,590031,459019,524391,524327,589999,524295,524423,524359,590063,459015,524383,524319,589983,459031,524415,524351,590047,459023,524399,524335,590015,524303,524431,524367,590079]),9],or=[new Int32Array([327680,327696,327688,327704,327684,327700,327692,327708,327682,327698,327690,327706,327686,327702,327694,0,327681,327697,327689,327705,327685,327701,327693,327709,327683,327699,327691,327707,327687,327703,327695,0]),5];class FlateStream extends DecodeStream{constructor(e,t){sup\ -er(t);this.str=e;this.dict=e.dict;const a=e.getByte(),r=e.getByte();if(-1===a||-1===r)throw new FormatError(`Invalid header in flate stream: ${a}, ${r}`);if(8!=(15&a))throw new FormatError(`Unknown compression method in flate stream: ${a}, ${r}`);if(((a<<8)+r)%31!=0)throw new FormatError(`Bad FCHECK in flate stream: ${a}, ${r}`);if(32&r)throw new FormatError(`FDICT bit set in flate stream: ${a}, ${r}`);this.codeSize=0;this.codeBuf=0}async getImageData(e,t){const a=await this.asyncGetBytes();retu\ -rn a?a.length<=e?a:a.subarray(0,e):this.getBytes(e)}async asyncGetBytes(){this.str.reset();const e=this.str.getBytes();try{const{readable:t,writable:a}=new DecompressionStream("deflate"),r=a.getWriter();await r.ready;r.write(e).then((async()=>{await r.ready;await r.close()})).catch((()=>{}));const i=[];let n=0;for await(const e of t){i.push(e);n+=e.byteLength}const s=new Uint8Array(n);let o=0;for(const e of i){s.set(e,o);o+=e.byteLength}return s}catch{this.str=new Stream(e,2,e.length,this.str.di\ -ct);this.reset();return null}}get isAsync(){return!0}getBits(e){const t=this.str;let a,r=this.codeSize,i=this.codeBuf;for(;r>e;this.codeSize=r-=e;return a}getCode(e){const t=this.str,a=e[0],r=e[1];let i,n=this.codeSize,s=this.codeBuf;for(;n>16,l=65535&o;if(c<1||n>c;this.codeSize=n-c;return l}generateHuffmanTable(e){const t=e.length;let a,r=0;for(a=0;ar&&(r=e[a]);const i=1<>=1}for(a=e;a>=1;if(0===t){let t\ -;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let a=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}a|=t<<8;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let i=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}i|=t<<8;if(i!==(65535&~a)&&(0!==a||0!==i))throw new FormatError("Bad uncompressed block length in flate stream");this.codeBuf=0;this.codeSize=0;const n=this.bufferLength,s\ -=n+a;e=this.ensureBuffer(s);this.bufferLength=s;if(0===a)-1===r.peekByte()&&(this.eof=!0);else{const t=r.getBytes(a);e.set(t,n);t.length0;)h[o++]=f}i=this.generateHuffmanTable(h.subarray(0,e));n=this.generateHuffmanTable(h.subarray(e,l))}}e=this.buffer;let s=e?e.length:0,o=this.bufferLength;for(;;){let t=this.getCode(i);if(t<256){if(o+1>=s){e=this.ensureBuffer(o+1);s=e.length}e[o++]=t;continue}if(256===t){this.bufferLength=o;return}t-=257;t=ir[t];let r=t>>16;r>0&&(\ -r=this.getBits(r));a=(65535&t)+r;t=this.getCode(n);t=nr[t];r=t>>16;r>0&&(r=this.getBits(r));const c=(65535&t)+r;if(o+a>=s){e=this.ensureBuffer(o+a);s=e.length}for(let t=0;t>9&127;this.clow=this.clow<<7&65535;this.ct-=7;this.a=32768}byteIn(){const e=this.data;let t=this.bp;if(255===e[t])if(e[t+1]>143){this.clow+=65280;this.ct=8}else{t++;this.clow+=e[t]<<9;this.ct=7;this.bp=t}else{t++;this.clow+=t65535){this.chigh+=this.cl\ -ow>>16;this.clow&=65535}}readBit(e,t){let a=e[t]>>1,r=1&e[t];const i=cr[a],n=i.qe;let s,o=this.a-n;if(this.chigh>15&1;this.clow=this.clow<<1&65535;this.ct--}while(!(32768&o));this.a=o;e[t]=a<<1|r;return s}}class Jbig2Error extends f\ -a{constructor(e){super(e,"Jbig2Error")}}class ContextCache{getContexts(e){return e in this?this[e]:this[e]=new Int8Array(65536)}}class DecodingContext{constructor(e,t,a){this.data=e;this.start=t;this.end=a}get decoder(){return shadow(this,"decoder",new ArithmeticDecoder(this.data,this.start,this.end))}get contextCache(){return shadow(this,"contextCache",new ContextCache)}}function decodeInteger(e,t,a){const r=e.getContexts(t);let i=1;function readBits(e){let t=0;for(let n=0;n>>0}const n=readBits(1),s=readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(32)+4436:readBits(12)+340:readBits(8)+84:readBits(6)+20:readBits(4)+4:readBits(2);let o;0===n?o=s:s>0&&(o=-s);return o>=-2147483648&&o<=va?o:null}function decodeIAID(e,t,a){const r=e.getContexts("IAID");let i=1;for(let e=0;ee.y-t.y||e.x-t.x));const h=l.length,u=new Int8Array(h),d=new Int8Array(h),f=[];let g,p,m=0,b=0,y=0,w=0;for(p=0;p=v&&E=F){q=q<<1&m;for(p=0;p=0&&j=0){_=D[L][j];_&&(q|=_<\ -=e?l<<=1:l=l<<1|S[o][c]}for(f=0;f=w||c<0||c>=y?l<<=1:l=l<<1|r[o][c]}const g=k.readBit(C,l);t[s]=g}}return S}function decodeTextRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g,p,m,b,y){if(e&&t)throw new Jbig2Error("refinement with Huffman is not supported");const w=[\ -];let x,S;for(x=0;x1&&(i=e?y.readBits(b):decodeInteger(C,"IAIT",k));const n=s*v+i,F=e?f.symbolIDTable.decode(y):decodeIAID(C,k,c),T=t&&(e?y.readBit():decodeInteger(C,"IARI",k));let O=o[F],M=O[0].leng\ -th,D=O.length;if(T){const e=decodeInteger(C,"IARDW",k),t=decodeInteger(C,"IARDH",k);M+=e;D+=t;O=decodeRefinement(M,D,g,O,(e>>1)+decodeInteger(C,"IARDX",k),(t>>1)+decodeInteger(C,"IARDY",k),!1,p,m)}let R=0;l?1&u?R=D-1:r+=D-1:u>1?r+=M-1:R=M-1;const N=n-(1&u?0:D-1),E=r-(2&u?M-1:0);let L,j,_;if(l)for(L=0;L>5&7;const c=[31&s];let l=t+6;if(7===s){o=536870911&readUint32(e,l-1);l+=3;let t=o+7>>3;c[0]=e[l++];for(;--t>0;)c.push(e[l++])}else if(5===s||6===s)throw new Jbig2Error("invalid referred-to flags");a.retainBits=c;let h=4;a.number<=256?h=1:a.number<=65536&&(h=2);const u=[];let d,f;for(d=0;d>>24&255;n[3]=t.height>>16&255;n[4]=t.height>>8&255;n[5]=255&t.height;for(d=l,f=e.length;d>2&3;e.huffmanDWSelector=t>>4&3;e.bitmapSizeSelector=t>>6&1;e.aggregationInstancesSelector=t>>7&1;e.bitmapCodingContextUsed=!!(256&t);e.bitmapCodingContextRetained=!!(512&t);e.template=t>>10&3;e.refinementTemplate=t>>12&1;l+=2;if(!e.huffman){c=0===e.template?4:1;s=[];fo\ -r(o=0;o>2&3;h.stripSiz\ -e=1<>4&3;h.transposed=!!(64&u);h.combinationOperator=u>>7&3;h.defaultPixelValue=u>>9&1;h.dsOffset=u<<17>>27;h.refinementTemplate=u>>15&1;if(h.huffman){const e=readUint16(r,l);l+=2;h.huffmanFS=3&e;h.huffmanDS=e>>2&3;h.huffmanDT=e>>4&3;h.huffmanRefinementDW=e>>6&3;h.huffmanRefinementDH=e>>8&3;h.huffmanRefinementDX=e>>10&3;h.huffmanRefinementDY=e>>12&3;h.huffmanRefinementSizeSelector=!!(16384&e)}if(h.refinement&&!h.refinementTemplate){s=[];for(o=0;o<2;o++){s.push\ -({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}h.refinementAt=s}h.numberOfSymbolInstances=readUint32(r,l);l+=4;n=[h,a.referredTo,r,l,i];break;case 16:const d={},f=r[l++];d.mmr=!!(1&f);d.template=f>>1&3;d.patternWidth=r[l++];d.patternHeight=r[l++];d.maxPatternIndex=readUint32(r,l);l+=4;n=[d,a.number,r,l,i];break;case 22:case 23:const g={};g.info=readRegionSegmentInformation(r,l);l+=gr;const p=r[l++];g.mmr=!!(1&p);g.template=p>>1&3;g.enableSkip=!!(8&p);g.combinationOperator=p>>4&7;g.defaultPixelValue=\ -p>>7&1;g.gridWidth=readUint32(r,l);l+=4;g.gridHeight=readUint32(r,l);l+=4;g.gridOffsetX=4294967295&readUint32(r,l);l+=4;g.gridOffsetY=4294967295&readUint32(r,l);l+=4;g.gridVectorX=readUint16(r,l);l+=2;g.gridVectorY=readUint16(r,l);l+=2;n=[g,a.referredTo,r,l,i];break;case 38:case 39:const m={};m.info=readRegionSegmentInformation(r,l);l+=gr;const b=r[l++];m.mmr=!!(1&b);m.template=b>>1&3;m.prediction=!!(8&b);if(!m.mmr){c=0===m.template?4:1;s=[];for(o=0;o>2&1;y.combinationOperator=w>>3&3;y.requiresBuffer=!!(32&w);y.combinationOperatorOverride=!!(64&w);n=[y];break;case 49:case 50:case 51:case 62:break;case 53:n=[a.number,r,l,i];break;default:throw new J\ -big2Error(`segment type ${a.typeName}(${a.type}) is not implemented`)}const h="on"+a.typeName;h in t&&t[h].apply(t,n)}function processSegments(e,t){for(let a=0,r=e.length;a>3,a=new Uint8ClampedArray(t*e.height);e.defaultPixelValue&&a.fill(255);this.buffer=a}drawBitmap(e,t){const a=this.currentPageInfo,r=e.width,i=e.height,n=a.width+7>>3,s=a.combinationOperatorOverride?e.combinat\ -ionOperator:a.combinationOperator,o=this.buffer,c=128>>(7&e.x);let l,h,u,d,f=e.y*n+(e.x>>3);switch(s){case 0:for(l=0;l>=1;if(!u){u=128;d++}}f+=n}break;case 2:for(l=0;l>=1;if(!u){u=128;d++}}f+=n}break;default:throw new Jbig2Error(`operator ${s} is not supported`)}}onImmediateGenericRegion(e,t,a,r){const i=e.info,n=new DecodingContext(t,a,r),s=decodeBitmap(e.mmr,i.width,i.height,e.template,e\ -.prediction,null,e.at,n);this.drawBitmap(i,s)}onImmediateLosslessGenericRegion(){this.onImmediateGenericRegion(...arguments)}onSymbolDictionary(e,t,a,r,i,n){let s,o;if(e.huffman){s=function getSymbolDictionaryHuffmanTables(e,t,a){let r,i,n,s,o=0;switch(e.huffmanDHSelector){case 0:case 1:r=getStandardTable(e.huffmanDHSelector+4);break;case 3:r=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DH selector")}switch(e.huffmanDWSelector){case 0:case 1:i=getStandardT\ -able(e.huffmanDWSelector+2);break;case 3:i=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DW selector")}if(e.bitmapSizeSelector){n=getCustomHuffmanTable(o,t,a);o++}else n=getStandardTable(1);s=e.aggregationInstancesSelector?getCustomHuffmanTable(o,t,a):getStandardTable(1);return{tableDeltaHeight:r,tableDeltaWidth:i,tableBitmapSize:n,tableAggregateInstances:s}}(e,a,this.customTables);o=new Reader(r,i,n)}let c=this.symbols;c||(this.symbols=c={});const l=[];for\ -(const e of a){const t=c[e];t&&l.push(...t)}const h=new DecodingContext(r,i,n);c[t]=function decodeSymbolDictionary(e,t,a,r,i,n,s,o,c,l,h,u){if(e&&t)throw new Jbig2Error("symbol refinement with Huffman is not supported");const d=[];let f=0,g=log2(a.length+r);const p=h.decoder,m=h.contextCache;let b,y;if(e){b=getStandardTable(1);y=[];g=Math.max(g,1)}for(;d.length1)w=decodeTextRegion(e,t,r,f,0,i,1,a.concat(d),g,0,0,1,0,n,c,l,h,0,u);else{const e=decodeIAID(m,p,g),t=decodeInteger(m,"IARDX",p),i=decodeInteger(m,"IARDY",p);w=decodeRefinement(r,f,c,e=32){let a,r,s;switch(t){case 32:if(0===e)throw new Jbig2Error("no previous value in symbol ID table");r=i.readBits(2)+3;a=n[e-1].prefixLength;break;case 33:r=i.readBits(3)+3;a=0;break;case 34:r=i.readBits(7)+11;a=0;break;default:throw new Jbig2Error("invalid code length in symbol ID table")}for(s=0;s=0;m--){O=e?decodeMMRBitmap(T,c,l,!0):decodeBitmap(!1,c,l,a,!1,null,v,g);F[m]=O}for(M=0;M=0;b--){R^=F[b][M][D];N|=R<>8;j=u+M*d-D*f>>8;if(L>=0&&L+S<=r&&j>=0&&j+k<=i)for(m=0;m=i)){U=p[t];_=E[m];for(b=0;b=0&&e>1&7),c=1+(r>>4&7),l=[];let h,u,d=i;do{h=s.readBits(o);u=s.readBits(c);l.push(new HuffmanLine([d,h,u,0]));d+=1<>t&1;if(t<=0)this.children[a]=new HuffmanTreeNode(e);else{let r=this.children[a];r||(this.children[a]=r=new HuffmanTreeNode(null));r.buildTree(e,t-1)}}decodeNode(e){if(this.isLeaf){if(this.isOOB)return null;const t=e.readBits(this.rangeLength);return this.rangeLow+(this.isLowerRange?-t:t)}const t=this.children[e.readBit()];if(!t)throw new Jbig2Error("invalid Huffman data");return t.decodeNode(e)}}class HuffmanTable{constructor(e,t){t||this.assignPrefixCodes(e);this.rootNode=new Huffma\ -nTreeNode(null);for(let t=0,a=e.length;t0&&this.rootNode.buildTree(a,a.prefixLength-1)}}decode(e){return this.rootNode.decodeNode(e)}assignPrefixCodes(e){const t=e.length;let a=0;for(let r=0;r=this.end)throw new Jbig2Error("end of data while readi\ -ng bit");this.currentByte=this.data[this.position++];this.shift=7}const e=this.currentByte>>this.shift&1;this.shift--;return e}readBits(e){let t,a=0;for(t=e-1;t>=0;t--)a|=this.readBit()<=this.end?-1:this.data[this.position++]}}function getCustomHuffmanTable(e,t,a){let r=0;for(let i=0,n=t.length;i>a&1;a--}}if(r&&!o){const e=5;for(let t=0;t>>t&(1<0;if(e<256){d[0]=e;f=1}else{if(!(e>=258)){if(256===e){h=9;s=258;f=0;continue}this.eof=!0;delete this.lzwState;break}if(e=0;t--){d[t]=o[a];a=l[a]}}else d[f++]=d[0]}if(i){l[s]=u;c[s]=c[u]+1;o[s]=d[0];s++;h=s+n&s+n-1?h:0|Math.min(Math.log(s+n)/.6931471805599453+1,12)}u=e;g+=f;if(r15))throw new FormatError(`Unsupported predictor: ${r}`);this.readBlock=2===r?this.readBlockTiff:this.readBlockPng;this.str=e;this.dict=e.dict;const i=this.colors=a.get("Colors")||1,n=this.bits=a.get("BPC","BitsPerComponen\ -t")||8,s=this.columns=a.get("Columns")||1;this.pixBytes=i*n+7>>3;this.rowBytes=s*i*n+7>>3;return this}readBlockTiff(){const e=this.rowBytes,t=this.bufferLength,a=this.ensureBuffer(t+e),r=this.bits,i=this.colors,n=this.str.getBytes(e);this.eof=!n.length;if(this.eof)return;let s,o=0,c=0,l=0,h=0,u=t;if(1===r&&1===i)for(s=0;s>1;e^=e>>2;e^=e>>4;o=(1&e)<<7;a[u++]=e}else if(8===r){for(s=0;s>8&255;a[u++]=255&e}}else{const e=new Uint8Array(i+1),u=(1<>l-r)&u;l-=r;c=c<=8){a[f++]=c>>h-8&255;h-=8}}h>0&&(a[f++]=(c<<8-h)+(o&(1<<8-h)-1))}this.bufferLength+=e}readBlockPng(){const e=this.rowBytes,t=this.pixBytes,a=this.str.getByte(),r=this.s\ -tr.getBytes(e);this.eof=!r.length;if(this.eof)return;const i=this.bufferLength,n=this.ensureBuffer(i+e);let s=n.subarray(i-e,i);0===s.length&&(s=new Uint8Array(e));let o,c,l,h=i;switch(a){case 0:for(o=0;o>1)+r[o];for(;o>1)+r[o]&255;h++}break;case 4:for(o=0;o0){const e=this.str.getBytes(r);t.set(e,a);a+=r}}else{r=257-r;t=this.ensureBuffer(a+r+1);t.fill(e[1],a,a+r);a+=r}this.bufferLength=a}}class Parser{constructor({lexer:e,xref:t,allowStreams:a=!1,recoveryMode:r=!1}){this.lexer=e;this.xref=t;this.allowStreams=a;this.recoveryMode=r;this.imageCache=Object.create(null);this._imageId=0;this.refill()}refill(){this.buf1=this.lexer.getObj();this.buf2=this.lexer.getObj()}shift(){if(this.buf2 instanceof Cmd&&"ID"===this.buf2.\ -cmd){this.buf1=this.buf2;this.buf2=null}else{this.buf1=this.buf2;this.buf2=this.lexer.getObj()}}tryShift(){try{this.shift();return!0}catch(e){if(e instanceof MissingDataException)throw e;return!1}}getObj(e=null){const t=this.buf1;this.shift();if(t instanceof Cmd)switch(t.cmd){case"BI":return this.makeInlineImage(e);case"[":const a=[];for(;!isCmd(this.buf1,"]")&&this.buf1!==wa;)a.push(this.getObj(e));if(this.buf1===wa){if(this.recoveryMode)return a;throw new ParserEOFException("End of file inside\ - array.")}this.shift();return a;case"<<":const r=new Dict(this.xref);for(;!isCmd(this.buf1,">>")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name)){info("Malformed dictionary: key must be a name object");this.shift();continue}const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r.set(t,this.getObj(e))}if(this.buf1===wa){if(this.recoveryMode)return r;throw new ParserEOFException("End of file inside dictionary.")}if(isCmd(this.buf2,"stream"))return this.allowStreams?this.makeStream(r,e):r;t\ -his.shift();return r;default:return t}if(Number.isInteger(t)){if(Number.isInteger(this.buf1)&&isCmd(this.buf2,"R")){const e=Ref.get(t,this.buf1);this.shift();this.shift();return e}return t}return"string"==typeof t&&e?e.decryptString(t):t}findDefaultInlineStreamEnd(e){const{knownCommands:t}=this.lexer,a=e.pos;let r,i,n=0;for(;-1!==(r=e.getByte());)if(0===n)n=69===r?1:0;else if(1===n)n=73===r?2:0;else if(32===r||10===r||13===r){i=e.pos;const a=e.peekBytes(15),s=a.length;if(0===s)break;for(let e=0;\ -e127))){n=0;break}}if(2!==n)continue;if(!t){warn("findDefaultInlineStreamEnd - `lexer.knownCommands` is undefined.");continue}const o=new Lexer(new Stream(e.peekBytes(75)),t);o._hexStringWarn=()=>{};let c=0;for(;;){const e=o.getObj();if(e===wa){n=0;break}if(e instanceof Cmd){const a=t[e.cmd];if(!a){n=0;break}if(a.variableArgs?c<=a.numArgs:c===a.numArgs)break;c=0}else c++}if(2===n)break}else n=0;if(-1===r){warn("findDefaultInlineStr\ -eamEnd: Reached the end of the stream without finding a valid EI marker");if(i){warn(\'... trying to recover by using the last "EI" occurrence.\');e.skip(-(e.pos-i))}}let s=4;e.skip(-s);r=e.peekByte();e.skip(s);isWhiteSpace(r)||s--;return e.pos-s-a}findDCTDecodeInlineStreamEnd(e){const t=e.pos;let a,r,i=!1;for(;-1!==(a=e.getByte());)if(255===a){switch(e.getByte()){case 0:break;case 255:e.skip(-1);break;case 217:i=!0;break;case 192:case 193:case 194:case 195:case 197:case 198:case 199:case 201:case\ - 202:case 203:case 205:case 206:case 207:case 196:case 204:case 218:case 219:case 220:case 221:case 222:case 223:case 224:case 225:case 226:case 227:case 228:case 229:case 230:case 231:case 232:case 233:case 234:case 235:case 236:case 237:case 238:case 239:case 254:r=e.getUint16();r>2?e.skip(r-2):e.skip(-2)}if(i)break}const n=e.pos-t;if(-1===a){warn("Inline DCTDecode image stream: EOI marker not found, searching for /EI/ instead.");e.skip(-n);return this.findDefaultInlineStreamEnd(e)}this.inline\ -StreamSkipEI(e);return n}findASCII85DecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte());)if(126===a){const t=e.pos;a=e.peekByte();for(;isWhiteSpace(a);){e.skip();a=e.peekByte()}if(62===a){e.skip();break}if(e.pos>t){const t=e.peekBytes(2);if(69===t[0]&&73===t[1])break}}const r=e.pos-t;if(-1===a){warn("Inline ASCII85Decode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}fin\ -dASCIIHexDecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte())&&62!==a;);const r=e.pos-t;if(-1===a){warn("Inline ASCIIHexDecode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}inlineStreamSkipEI(e){let t,a=0;for(;-1!==(t=e.getByte());)if(0===a)a=69===t?1:0;else if(1===a)a=73===t?2:0;else if(2===a)break}makeInlineImage(e){const t=this.lexer,a=t.stream,r=Object.create(null);l\ -et i;for(;!isCmd(this.buf1,"ID")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name))throw new FormatError("Dictionary key must be a name object");const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r[t]=this.getObj(e)}-1!==t.beginInlineImagePos&&(i=a.pos-t.beginInlineImagePos);const n=this.xref.fetchIfRef(r.F||r.Filter);let s;if(n instanceof Name)s=n.name;else if(Array.isArray(n)){const e=this.xref.fetchIfRef(n[0]);e instanceof Name&&(s=e.name)}const o=a.pos;let c,l;switch(s){case"DCT":ca\ -se"DCTDecode":c=this.findDCTDecodeInlineStreamEnd(a);break;case"A85":case"ASCII85Decode":c=this.findASCII85DecodeInlineStreamEnd(a);break;case"AHx":case"ASCIIHexDecode":c=this.findASCIIHexDecodeInlineStreamEnd(a);break;default:c=this.findDefaultInlineStreamEnd(a)}if(c<1e3&&i>0){const e=a.pos;a.pos=t.beginInlineImagePos;l=function getInlineImageCacheKey(e){const t=[],a=e.length;let r=0;for(;r=r){let r=!1;for(const e of i){const t=e.length;let i=0;for(;i=n){r=!0;break}if(i>=t){if(isWhiteSpace(s[c+o+i])){info(`Found "${bytesToString([...a,...e])}" when searching for endstream command.`);r=!0}break}}if(r){t.pos+=c;return t.pos-e\ -}}c++}t.pos+=o}return-1}makeStream(e,t){const a=this.lexer;let r=a.stream;a.skipToNextLine();const i=r.pos-1;let n=e.get("Length");if(!Number.isInteger(n)){info(`Bad length "${n&&n.toString()}" in stream.`);n=0}r.pos=i+n;a.nextChar();if(this.tryShift()&&isCmd(this.buf2,"endstream"))this.shift();else{n=this.#q(i);if(n<0)throw new FormatError("Missing endstream command.");a.nextChar();this.shift();this.shift()}this.shift();r=r.makeSubStream(i,n,e);t&&(r=t.createStream(r,n));r=this.filter(r,e,n);r.\ -dict=e;return r}filter(e,t,a){let r=t.get("F","Filter"),i=t.get("DP","DecodeParms");if(r instanceof Name){Array.isArray(i)&&warn("/DecodeParms should not be an Array, when /Filter is a Name.");return this.makeFilter(e,r.name,a,i)}let n=a;if(Array.isArray(r)){const t=r,a=i;for(let s=0,o=t.length;s=48&&e<=57?15&e:e>=65&&e<=70||e>=97&&e<=102?9+(15&e):-1}class Lexer{constructor(e,t=null){this.stream=e;this.nextChar();this.strBuf=[];this.knownCommands=t;this._hexStringNumWarn=0;this.beginInlineImagePos=-1}nextChar(){return this.currentChar=this.stream.getByte()}peekChar(){return this.stream.peekByte()}getNumber(){let e=this.currentChar,t=!1,a=0,r=1;if(45===e){r=-1;e=this.nextChar();45===e&&(e=this.nextChar())}else 43===e&&(e=this.nextChar());if(10===e||13===e)do{e=this.nextChar()}while(1\ -0===e||13===e);if(46===e){a=10;e=this.nextChar()}if(e<48||e>57){const t=`Invalid number: ${String.fromCharCode(e)} (charCode ${e})`;if(isWhiteSpace(e)||40===e||60===e||-1===e){info(`Lexer.getNumber - "${t}".`);return 0}throw new FormatError(t)}let i=e-48,n=0,s=1;for(;(e=this.nextChar())>=0;)if(e>=48&&e<=57){const r=e-48;if(t)n=10*n+r;else{0!==a&&(a*=10);i=10*i+r}}else if(46===e){if(0!==a)break;a=1}else if(45===e)warn("Badly formatted number: minus sign in the middle");else{if(69!==e&&101!==e)bre\ -ak;e=this.peekChar();if(43===e||45===e){s=45===e?-1:1;this.nextChar()}else if(e<48||e>57)break;t=!0}0!==a&&(i/=a);t&&(i*=10**(s*n));return r*i}getString(){let e=1,t=!1;const a=this.strBuf;a.length=0;let r=this.nextChar();for(;;){let i=!1;switch(0|r){case-1:warn("Unterminated string");t=!0;break;case 40:++e;a.push("(");break;case 41:if(0==--e){this.nextChar();t=!0}else a.push(")");break;case 92:r=this.nextChar();switch(r){case-1:warn("Unterminated string");t=!0;break;case 110:a.push("\\n");break;c\ -ase 114:a.push("\\r");break;case 116:a.push("\\t");break;case 98:a.push("\\b");break;case 102:a.push("\\f");break;case 92:case 40:case 41:a.push(String.fromCharCode(r));break;case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:let e=15&r;r=this.nextChar();i=!0;if(r>=48&&r<=55){e=(e<<3)+(15&r);r=this.nextChar();if(r>=48&&r<=55){i=!1;e=(e<<3)+(15&r)}}a.push(String.fromCharCode(e));break;case 13:10===this.peekChar()&&this.nextChar();break;case 10:break;default:a.push(String.fromCharCode(r))\ -}break;default:a.push(String.fromCharCode(r))}if(t)break;i||(r=this.nextChar())}return a.join("")}getName(){let e,t;const a=this.strBuf;a.length=0;for(;(e=this.nextChar())>=0&&!mr[e];)if(35===e){e=this.nextChar();if(mr[e]){warn("Lexer_getName: NUMBER SIGN (#) should be followed by a hexadecimal number.");a.push("#");break}const r=toHexDigit(e);if(-1!==r){t=e;e=this.nextChar();const i=toHexDigit(e);if(-1===i){warn(`Lexer_getName: Illegal digit (${String.fromCharCode(e)}) in hexadecimal number.`);\ -a.push("#",String.fromCharCode(t));if(mr[e])break;a.push(String.fromCharCode(e));continue}a.push(String.fromCharCode(r<<4|i))}else a.push("#",String.fromCharCode(e))}else a.push(String.fromCharCode(e));a.length>127&&warn(`Name token is longer than allowed by the spec: ${a.length}`);return Name.get(a.join(""))}_hexStringWarn(e){5!=this._hexStringNumWarn++?this._hexStringNumWarn>5||warn(`getHexString - ignoring invalid character: ${e}`):warn("getHexString - ignoring additional invalid characters."\ -)}getHexString(){const e=this.strBuf;e.length=0;let t=this.currentChar,a=-1,r=-1;this._hexStringNumWarn=0;for(;;){if(t<0){warn("Unterminated hex string");break}if(62===t){this.nextChar();break}if(1!==mr[t]){r=toHexDigit(t);if(-1===r)this._hexStringWarn(t);else if(-1===a)a=r;else{e.push(String.fromCharCode(a<<4|r));a=-1}t=this.nextChar()}else t=this.nextChar()}-1!==a&&e.push(String.fromCharCode(a<<4));return e.join("")}getObj(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!\ -==t||(e=!1);else if(37===t)e=!0;else if(1!==mr[t])break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return this.getNumber();case 40:return this.getString();case 47:return this.getName();case 91:this.nextChar();return Cmd.get("[");case 93:this.nextChar();return Cmd.get("]");case 60:t=this.nextChar();if(60===t){this.nextChar();return Cmd.get("<<")}return this.getHexString();case 62:t=this.nextChar();if(62===t\ -){this.nextChar();return Cmd.get(">>")}return Cmd.get(">");case 123:this.nextChar();return Cmd.get("{");case 125:this.nextChar();return Cmd.get("}");case 41:this.nextChar();throw new FormatError(`Illegal character: ${t}`)}let a=String.fromCharCode(t);if(t<32||t>127){const e=this.peekChar();if(e>=32&&e<=127){this.nextChar();return Cmd.get(a)}}const r=this.knownCommands;let i=void 0!==r?.[a];for(;(t=this.nextChar())>=0&&!mr[t];){const e=a+String.fromCharCode(t);if(i&&void 0===r[e])break;if(128===a\ -.length)throw new FormatError(`Command token too long: ${a.length}`);a=e;i=void 0!==r?.[a]}if("true"===a)return!0;if("false"===a)return!1;if("null"===a)return null;"BI"===a&&(this.beginInlineImagePos=this.stream.pos);return Cmd.get(a)}skipToNextLine(){let e=this.currentChar;for(;e>=0;){if(13===e){e=this.nextChar();10===e&&this.nextChar();break}if(10===e){this.nextChar();break}e=this.nextChar()}}}class Linearization{static create(e){function getInt(e,t,a=!1){const r=e.get(t);if(Number.isInteger(r\ -)&&(a?r>=0:r>0))return r;throw new Error(`The "${t}" parameter in the linearization dictionary is invalid.`)}const t=new Parser({lexer:new Lexer(e),xref:null}),a=t.getObj(),r=t.getObj(),i=t.getObj(),n=t.getObj();let s,o;if(!(Number.isInteger(a)&&Number.isInteger(r)&&isCmd(i,"obj")&&n instanceof Dict&&"number"==typeof(s=n.get("Linearized"))&&s>0))return null;if((o=getInt(n,"L"))!==e.length)throw new Error(\'The "L" parameter in the linearization dictionary does not equal the stream length.\');retur\ -n{length:o,hints:function getHints(e){const t=e.get("H");let a;if(Array.isArray(t)&&(2===(a=t.length)||4===a)){for(let e=0;e0))throw new Error(`Hint (${e}) in the linearization dictionary is invalid.`)}return t}throw new Error("Hint array in the linearization dictionary is invalid.")}(n),objectNumberFirst:getInt(n,"O"),endFirst:getInt(n,"E"),numPages:getInt(n,"N"),mainXRefEntriesOffset:getInt(n,"T"),pageFirst:n.has("P")?getInt(n,"P",!0):0}}}const \ -br=["Adobe-GB1-UCS2","Adobe-CNS1-UCS2","Adobe-Japan1-UCS2","Adobe-Korea1-UCS2","78-EUC-H","78-EUC-V","78-H","78-RKSJ-H","78-RKSJ-V","78-V","78ms-RKSJ-H","78ms-RKSJ-V","83pv-RKSJ-H","90ms-RKSJ-H","90ms-RKSJ-V","90msp-RKSJ-H","90msp-RKSJ-V","90pv-RKSJ-H","90pv-RKSJ-V","Add-H","Add-RKSJ-H","Add-RKSJ-V","Add-V","Adobe-CNS1-0","Adobe-CNS1-1","Adobe-CNS1-2","Adobe-CNS1-3","Adobe-CNS1-4","Adobe-CNS1-5","Adobe-CNS1-6","Adobe-GB1-0","Adobe-GB1-1","Adobe-GB1-2","Adobe-GB1-3","Adobe-GB1-4","Adobe-GB1-5","A\ -dobe-Japan1-0","Adobe-Japan1-1","Adobe-Japan1-2","Adobe-Japan1-3","Adobe-Japan1-4","Adobe-Japan1-5","Adobe-Japan1-6","Adobe-Korea1-0","Adobe-Korea1-1","Adobe-Korea1-2","B5-H","B5-V","B5pc-H","B5pc-V","CNS-EUC-H","CNS-EUC-V","CNS1-H","CNS1-V","CNS2-H","CNS2-V","ETHK-B5-H","ETHK-B5-V","ETen-B5-H","ETen-B5-V","ETenms-B5-H","ETenms-B5-V","EUC-H","EUC-V","Ext-H","Ext-RKSJ-H","Ext-RKSJ-V","Ext-V","GB-EUC-H","GB-EUC-V","GB-H","GB-V","GBK-EUC-H","GBK-EUC-V","GBK2K-H","GBK2K-V","GBKp-EUC-H","GBKp-EUC-V",\ -"GBT-EUC-H","GBT-EUC-V","GBT-H","GBT-V","GBTpc-EUC-H","GBTpc-EUC-V","GBpc-EUC-H","GBpc-EUC-V","H","HKdla-B5-H","HKdla-B5-V","HKdlb-B5-H","HKdlb-B5-V","HKgccs-B5-H","HKgccs-B5-V","HKm314-B5-H","HKm314-B5-V","HKm471-B5-H","HKm471-B5-V","HKscs-B5-H","HKscs-B5-V","Hankaku","Hiragana","KSC-EUC-H","KSC-EUC-V","KSC-H","KSC-Johab-H","KSC-Johab-V","KSC-V","KSCms-UHC-H","KSCms-UHC-HW-H","KSCms-UHC-HW-V","KSCms-UHC-V","KSCpc-EUC-H","KSCpc-EUC-V","Katakana","NWP-H","NWP-V","RKSJ-H","RKSJ-V","Roman","UniCNS-\ -UCS2-H","UniCNS-UCS2-V","UniCNS-UTF16-H","UniCNS-UTF16-V","UniCNS-UTF32-H","UniCNS-UTF32-V","UniCNS-UTF8-H","UniCNS-UTF8-V","UniGB-UCS2-H","UniGB-UCS2-V","UniGB-UTF16-H","UniGB-UTF16-V","UniGB-UTF32-H","UniGB-UTF32-V","UniGB-UTF8-H","UniGB-UTF8-V","UniJIS-UCS2-H","UniJIS-UCS2-HW-H","UniJIS-UCS2-HW-V","UniJIS-UCS2-V","UniJIS-UTF16-H","UniJIS-UTF16-V","UniJIS-UTF32-H","UniJIS-UTF32-V","UniJIS-UTF8-H","UniJIS-UTF8-V","UniJIS2004-UTF16-H","UniJIS2004-UTF16-V","UniJIS2004-UTF32-H","UniJIS2004-UTF32-V\ -","UniJIS2004-UTF8-H","UniJIS2004-UTF8-V","UniJISPro-UCS2-HW-V","UniJISPro-UCS2-V","UniJISPro-UTF8-V","UniJISX0213-UTF32-H","UniJISX0213-UTF32-V","UniJISX02132004-UTF32-H","UniJISX02132004-UTF32-V","UniKS-UCS2-H","UniKS-UCS2-V","UniKS-UTF16-H","UniKS-UTF16-V","UniKS-UTF32-H","UniKS-UTF32-V","UniKS-UTF8-H","UniKS-UTF8-V","V","WP-Symbol"],yr=2**24-1;class CMap{constructor(e=!1){this.codespaceRanges=[[],[],[],[]];this.numCodespaceRanges=0;this._map=[];this.name="";this.vertical=!1;this.useCMap=null\ -;this.builtInCMap=e}addCodespaceRange(e,t,a){this.codespaceRanges[e-1].push(t,a);this.numCodespaceRanges++}mapCidRange(e,t,a){if(t-e>yr)throw new Error("mapCidRange - ignoring data above MAX_MAP_RANGE.");for(;e<=t;)this._map[e++]=a++}mapBfRange(e,t,a){if(t-e>yr)throw new Error("mapBfRange - ignoring data above MAX_MAP_RANGE.");const r=a.length-1;for(;e<=t;){this._map[e++]=a;const t=a.charCodeAt(r)+1;t>255?a=a.substring(0,r-1)+String.fromCharCode(a.charCodeAt(r-1)+1)+"\\0":a=a.substring(0,r)+Strin\ -g.fromCharCode(t)}}mapBfRangeToArray(e,t,a){if(t-e>yr)throw new Error("mapBfRangeToArray - ignoring data above MAX_MAP_RANGE.");const r=a.length;let i=0;for(;e<=t&&i>>0;const s=i[n];for(let e=0,t=s.length;e=t&&r<=i){a.charcode=r;a.length=n+1;return}}}a.charcode=0;a.length=1}getCharCodeLength(e){const t=this.codespaceRanges;for(let a=0,r=t.length;a=i&&e<=n)return a+1\ -}}return 1}get length(){return this._map.length}get isIdentityCMap(){if("Identity-H"!==this.name&&"Identity-V"!==this.name)return!1;if(65536!==this._map.length)return!1;for(let e=0;e<65536;e++)if(this._map[e]!==e)return!1;return!0}}class IdentityCMap extends CMap{constructor(e,t){super();this.vertical=e;this.addCodespaceRange(t,0,65535)}mapCidRange(e,t,a){unreachable("should not call mapCidRange")}mapBfRange(e,t,a){unreachable("should not call mapBfRange")}mapBfRangeToArray(e,t,a){unreachable("s\ -hould not call mapBfRangeToArray")}mapOne(e,t){unreachable("should not call mapCidOne")}lookup(e){return Number.isInteger(e)&&e<=65535?e:void 0}contains(e){return Number.isInteger(e)&&e<=65535}forEach(e){for(let t=0;t<=65535;t++)e(t,t)}charCodeOf(e){return Number.isInteger(e)&&e<=65535?e:-1}getMap(){const e=new Array(65536);for(let t=0;t<=65535;t++)e[t]=t;return e}get length(){return 65536}get isIdentityCMap(){unreachable("should not access .isIdentityCMap")}}function strToInt(e){let t=0;for(let\ - a=0;a>>0}function expectString(e){if("string"!=typeof e)throw new FormatError("Malformed CMap: expected string.")}function expectInt(e){if(!Number.isInteger(e))throw new FormatError("Malformed CMap: expected int.")}function parseBfChar(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endbfchar"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=a;e.mapOne(r,i)}}function parseBfRange(e,t){for(;;){let a=t.getObj(\ -);if(a===wa)break;if(isCmd(a,"endbfrange"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();if(Number.isInteger(a)||"string"==typeof a){const t=Number.isInteger(a)?String.fromCharCode(a):a;e.mapBfRange(r,i,t)}else{if(!isCmd(a,"["))break;{a=t.getObj();const n=[];for(;!isCmd(a,"]")&&a!==wa;){n.push(a);a=t.getObj()}e.mapBfRangeToArray(r,i,n)}}}throw new FormatError("Invalid bf range.")}function parseCidChar(e,t){for(;;){let a=t.getObj();if(a==\ -=wa)break;if(isCmd(a,"endcidchar"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectInt(a);const i=a;e.mapOne(r,i)}}function parseCidRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcidrange"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();expectInt(a);const n=a;e.mapCidRange(r,i,n)}}function parseCodespaceRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcodespacerange"))return;if("string"!\ -=typeof a)break;const r=strToInt(a);a=t.getObj();if("string"!=typeof a)break;const i=strToInt(a);e.addCodespaceRange(a.length,r,i)}throw new FormatError("Invalid codespace range.")}function parseWMode(e,t){const a=t.getObj();Number.isInteger(a)&&(e.vertical=!!a)}function parseCMapName(e,t){const a=t.getObj();a instanceof Name&&(e.name=a.name)}async function parseCMap(e,t,a,r){let i,n;e:for(;;)try{const a=t.getObj();if(a===wa)break;if(a instanceof Name){"WMode"===a.name?parseWMode(e,t):"CMapName"\ -===a.name&&parseCMapName(e,t);i=a}else if(a instanceof Cmd)switch(a.cmd){case"endcmap":break e;case"usecmap":i instanceof Name&&(n=i.name);break;case"begincodespacerange":parseCodespaceRange(e,t);break;case"beginbfchar":parseBfChar(e,t);break;case"begincidchar":parseCidChar(e,t);break;case"beginbfrange":parseBfRange(e,t);break;case"begincidrange":parseCidRange(e,t)}}catch(e){if(e instanceof MissingDataException)throw e;warn("Invalid cMap data: "+e);continue}!r&&n&&(r=n);return r?extendCMap(e,a,r\ -):e}async function extendCMap(e,t,a){e.useCMap=await createBuiltInCMap(a,t);if(0===e.numCodespaceRanges){const t=e.useCMap.codespaceRanges;for(let a=0;aextendCMap(i,t,e)));const n=new Lexer(new Stream(a));return parseCMap(i,n,t,null)}class CMapFactory{static async create({encoding:e,fetchBuiltInCMap:t,useCMap:a}){if(e instanceof Name)return createBuiltInCMap(e.name,t);if(e instanceof BaseStream){const r=await parseCMap(new CMap,new Lexer(e),t,a);ret\ -urn r.isIdentityCMap?createBuiltInCMap(r.name,t):r}throw new Error("Encoding required.")}}const wr=["","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","space","exclamsmall","Hungarumlautsmall","","dollaroldstyle","dollarsuperior","ampersandsmall","Acutesmall","parenleftsuperior","parenrightsuperior","twodotenleader","onedotenleader","comma","hyphen","period","fraction","zerooldstyle","oneoldstyle","twooldstyle","threeoldstyle","fouroldstyle","fiveolds\ 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-Icircumflexsmall=63470;e.Icyrillic=1030;e.Idblgrave=520;e.Idieresis=207;e.Idieresisacute=7726;e.Idieresiscyrillic=1252;e.Idieresissmall=63471;e.Idot=304;e.Idotaccent=304;e.Idotbelow=7882;e.Iebrevecyrillic=1238;e.Iecyrillic=1045;e.Ifraktur=8465;e.Igrave=204;e.Igravesmall=63468;e.Ihookabove=7880;e.Iicyrillic=1048;e.Iinvertedbreve=522;e.Iishortcyrillic=1049;e.Imacron=298;e.Imacroncyrillic=1250;e.Imonospace=65321;e.Iniarmenian=1339;e.Iocyrillic=1025;e.Iogonek=302;e.Iota=921;e.Iotaafrican=406;e.Iotad\ -ieresis=938;e.Iotatonos=906;e.Ismall=63337;e.Istroke=407;e.Itilde=296;e.Itildebelow=7724;e.Izhitsacyrillic=1140;e.Izhitsadblgravecyrillic=1142;e.J=74;e.Jaarmenian=1345;e.Jcircle=9407;e.Jcircumflex=308;e.Jecyrillic=1032;e.Jheharmenian=1355;e.Jmonospace=65322;e.Jsmall=63338;e.K=75;e.KBsquare=13189;e.KKsquare=13261;e.Kabashkircyrillic=1184;e.Kacute=7728;e.Kacyrillic=1050;e.Kadescendercyrillic=1178;e.Kahookcyrillic=1219;e.Kappa=922;e.Kastrokecyrillic=1182;e.Kaverticalstrokecyrillic=1180;e.Kcaron=488\ -;e.Kcedilla=310;e.Kcircle=9408;e.Kcommaaccent=310;e.Kdotbelow=7730;e.Keharmenian=1364;e.Kenarmenian=1343;e.Khacyrillic=1061;e.Kheicoptic=998;e.Khook=408;e.Kjecyrillic=1036;e.Klinebelow=7732;e.Kmonospace=65323;e.Koppacyrillic=1152;e.Koppagreek=990;e.Ksicyrillic=1134;e.Ksmall=63339;e.L=76;e.LJ=455;e.LL=63167;e.Lacute=313;e.Lambda=923;e.Lcaron=317;e.Lcedilla=315;e.Lcircle=9409;e.Lcircumflexbelow=7740;e.Lcommaaccent=315;e.Ldot=319;e.Ldotaccent=319;e.Ldotbelow=7734;e.Ldotbelowmacron=7736;e.Liwnarmeni\ -an=1340;e.Lj=456;e.Ljecyrillic=1033;e.Llinebelow=7738;e.Lmonospace=65324;e.Lslash=321;e.Lslashsmall=63225;e.Lsmall=63340;e.M=77;e.MBsquare=13190;e.Macron=63184;e.Macronsmall=63407;e.Macute=7742;e.Mcircle=9410;e.Mdotaccent=7744;e.Mdotbelow=7746;e.Menarmenian=1348;e.Mmonospace=65325;e.Msmall=63341;e.Mturned=412;e.Mu=924;e.N=78;e.NJ=458;e.Nacute=323;e.Ncaron=327;e.Ncedilla=325;e.Ncircle=9411;e.Ncircumflexbelow=7754;e.Ncommaaccent=325;e.Ndotaccent=7748;e.Ndotbelow=7750;e.Nhookleft=413;e.Nineroman=85\ -52;e.Nj=459;e.Njecyrillic=1034;e.Nlinebelow=7752;e.Nmonospace=65326;e.Nowarmenian=1350;e.Nsmall=63342;e.Ntilde=209;e.Ntildesmall=63473;e.Nu=925;e.O=79;e.OE=338;e.OEsmall=63226;e.Oacute=211;e.Oacutesmall=63475;e.Obarredcyrillic=1256;e.Obarreddieresiscyrillic=1258;e.Obreve=334;e.Ocaron=465;e.Ocenteredtilde=415;e.Ocircle=9412;e.Ocircumflex=212;e.Ocircumflexacute=7888;e.Ocircumflexdotbelow=7896;e.Ocircumflexgrave=7890;e.Ocircumflexhookabove=7892;e.Ocircumflexsmall=63476;e.Ocircumflextilde=7894;e.Ocy\ -rillic=1054;e.Odblacute=336;e.Odblgrave=524;e.Odieresis=214;e.Odieresiscyrillic=1254;e.Odieresissmall=63478;e.Odotbelow=7884;e.Ogoneksmall=63227;e.Ograve=210;e.Ogravesmall=63474;e.Oharmenian=1365;e.Ohm=8486;e.Ohookabove=7886;e.Ohorn=416;e.Ohornacute=7898;e.Ohorndotbelow=7906;e.Ohorngrave=7900;e.Ohornhookabove=7902;e.Ohorntilde=7904;e.Ohungarumlaut=336;e.Oi=418;e.Oinvertedbreve=526;e.Omacron=332;e.Omacronacute=7762;e.Omacrongrave=7760;e.Omega=8486;e.Omegacyrillic=1120;e.Omegagreek=937;e.Omegaroun\ -dcyrillic=1146;e.Omegatitlocyrillic=1148;e.Omegatonos=911;e.Omicron=927;e.Omicrontonos=908;e.Omonospace=65327;e.Oneroman=8544;e.Oogonek=490;e.Oogonekmacron=492;e.Oopen=390;e.Oslash=216;e.Oslashacute=510;e.Oslashsmall=63480;e.Osmall=63343;e.Ostrokeacute=510;e.Otcyrillic=1150;e.Otilde=213;e.Otildeacute=7756;e.Otildedieresis=7758;e.Otildesmall=63477;e.P=80;e.Pacute=7764;e.Pcircle=9413;e.Pdotaccent=7766;e.Pecyrillic=1055;e.Peharmenian=1354;e.Pemiddlehookcyrillic=1190;e.Phi=934;e.Phook=420;e.Pi=928;e\ -.Piwrarmenian=1363;e.Pmonospace=65328;e.Psi=936;e.Psicyrillic=1136;e.Psmall=63344;e.Q=81;e.Qcircle=9414;e.Qmonospace=65329;e.Qsmall=63345;e.R=82;e.Raarmenian=1356;e.Racute=340;e.Rcaron=344;e.Rcedilla=342;e.Rcircle=9415;e.Rcommaaccent=342;e.Rdblgrave=528;e.Rdotaccent=7768;e.Rdotbelow=7770;e.Rdotbelowmacron=7772;e.Reharmenian=1360;e.Rfraktur=8476;e.Rho=929;e.Ringsmall=63228;e.Rinvertedbreve=530;e.Rlinebelow=7774;e.Rmonospace=65330;e.Rsmall=63346;e.Rsmallinverted=641;e.Rsmallinvertedsuperior=694;e.\ -S=83;e.SF010000=9484;e.SF020000=9492;e.SF030000=9488;e.SF040000=9496;e.SF050000=9532;e.SF060000=9516;e.SF070000=9524;e.SF080000=9500;e.SF090000=9508;e.SF100000=9472;e.SF110000=9474;e.SF190000=9569;e.SF200000=9570;e.SF210000=9558;e.SF220000=9557;e.SF230000=9571;e.SF240000=9553;e.SF250000=9559;e.SF260000=9565;e.SF270000=9564;e.SF280000=9563;e.SF360000=9566;e.SF370000=9567;e.SF380000=9562;e.SF390000=9556;e.SF400000=9577;e.SF410000=9574;e.SF420000=9568;e.SF430000=9552;e.SF440000=9580;e.SF450000=9575\ -;e.SF460000=9576;e.SF470000=9572;e.SF480000=9573;e.SF490000=9561;e.SF500000=9560;e.SF510000=9554;e.SF520000=9555;e.SF530000=9579;e.SF540000=9578;e.Sacute=346;e.Sacutedotaccent=7780;e.Sampigreek=992;e.Scaron=352;e.Scarondotaccent=7782;e.Scaronsmall=63229;e.Scedilla=350;e.Schwa=399;e.Schwacyrillic=1240;e.Schwadieresiscyrillic=1242;e.Scircle=9416;e.Scircumflex=348;e.Scommaaccent=536;e.Sdotaccent=7776;e.Sdotbelow=7778;e.Sdotbelowdotaccent=7784;e.Seharmenian=1357;e.Sevenroman=8550;e.Shaarmenian=1351;\ -e.Shacyrillic=1064;e.Shchacyrillic=1065;e.Sheicoptic=994;e.Shhacyrillic=1210;e.Shimacoptic=1004;e.Sigma=931;e.Sixroman=8549;e.Smonospace=65331;e.Softsigncyrillic=1068;e.Ssmall=63347;e.Stigmagreek=986;e.T=84;e.Tau=932;e.Tbar=358;e.Tcaron=356;e.Tcedilla=354;e.Tcircle=9417;e.Tcircumflexbelow=7792;e.Tcommaaccent=354;e.Tdotaccent=7786;e.Tdotbelow=7788;e.Tecyrillic=1058;e.Tedescendercyrillic=1196;e.Tenroman=8553;e.Tetsecyrillic=1204;e.Theta=920;e.Thook=428;e.Thorn=222;e.Thornsmall=63486;e.Threeroman=8\ -546;e.Tildesmall=63230;e.Tiwnarmenian=1359;e.Tlinebelow=7790;e.Tmonospace=65332;e.Toarmenian=1337;e.Tonefive=444;e.Tonesix=388;e.Tonetwo=423;e.Tretroflexhook=430;e.Tsecyrillic=1062;e.Tshecyrillic=1035;e.Tsmall=63348;e.Twelveroman=8555;e.Tworoman=8545;e.U=85;e.Uacute=218;e.Uacutesmall=63482;e.Ubreve=364;e.Ucaron=467;e.Ucircle=9418;e.Ucircumflex=219;e.Ucircumflexbelow=7798;e.Ucircumflexsmall=63483;e.Ucyrillic=1059;e.Udblacute=368;e.Udblgrave=532;e.Udieresis=220;e.Udieresisacute=471;e.Udieresisbelo\ -w=7794;e.Udieresiscaron=473;e.Udieresiscyrillic=1264;e.Udieresisgrave=475;e.Udieresismacron=469;e.Udieresissmall=63484;e.Udotbelow=7908;e.Ugrave=217;e.Ugravesmall=63481;e.Uhookabove=7910;e.Uhorn=431;e.Uhornacute=7912;e.Uhorndotbelow=7920;e.Uhorngrave=7914;e.Uhornhookabove=7916;e.Uhorntilde=7918;e.Uhungarumlaut=368;e.Uhungarumlautcyrillic=1266;e.Uinvertedbreve=534;e.Ukcyrillic=1144;e.Umacron=362;e.Umacroncyrillic=1262;e.Umacrondieresis=7802;e.Umonospace=65333;e.Uogonek=370;e.Upsilon=933;e.Upsilon\ -1=978;e.Upsilonacutehooksymbolgreek=979;e.Upsilonafrican=433;e.Upsilondieresis=939;e.Upsilondieresishooksymbolgreek=980;e.Upsilonhooksymbol=978;e.Upsilontonos=910;e.Uring=366;e.Ushortcyrillic=1038;e.Usmall=63349;e.Ustraightcyrillic=1198;e.Ustraightstrokecyrillic=1200;e.Utilde=360;e.Utildeacute=7800;e.Utildebelow=7796;e.V=86;e.Vcircle=9419;e.Vdotbelow=7806;e.Vecyrillic=1042;e.Vewarmenian=1358;e.Vhook=434;e.Vmonospace=65334;e.Voarmenian=1352;e.Vsmall=63350;e.Vtilde=7804;e.W=87;e.Wacute=7810;e.Wcir\ -cle=9420;e.Wcircumflex=372;e.Wdieresis=7812;e.Wdotaccent=7814;e.Wdotbelow=7816;e.Wgrave=7808;e.Wmonospace=65335;e.Wsmall=63351;e.X=88;e.Xcircle=9421;e.Xdieresis=7820;e.Xdotaccent=7818;e.Xeharmenian=1341;e.Xi=926;e.Xmonospace=65336;e.Xsmall=63352;e.Y=89;e.Yacute=221;e.Yacutesmall=63485;e.Yatcyrillic=1122;e.Ycircle=9422;e.Ycircumflex=374;e.Ydieresis=376;e.Ydieresissmall=63487;e.Ydotaccent=7822;e.Ydotbelow=7924;e.Yericyrillic=1067;e.Yerudieresiscyrillic=1272;e.Ygrave=7922;e.Yhook=435;e.Yhookabove=7\ -926;e.Yiarmenian=1349;e.Yicyrillic=1031;e.Yiwnarmenian=1362;e.Ymonospace=65337;e.Ysmall=63353;e.Ytilde=7928;e.Yusbigcyrillic=1130;e.Yusbigiotifiedcyrillic=1132;e.Yuslittlecyrillic=1126;e.Yuslittleiotifiedcyrillic=1128;e.Z=90;e.Zaarmenian=1334;e.Zacute=377;e.Zcaron=381;e.Zcaronsmall=63231;e.Zcircle=9423;e.Zcircumflex=7824;e.Zdot=379;e.Zdotaccent=379;e.Zdotbelow=7826;e.Zecyrillic=1047;e.Zedescendercyrillic=1176;e.Zedieresiscyrillic=1246;e.Zeta=918;e.Zhearmenian=1338;e.Zhebrevecyrillic=1217;e.Zhecy\ -rillic=1046;e.Zhedescendercyrillic=1174;e.Zhedieresiscyrillic=1244;e.Zlinebelow=7828;e.Zmonospace=65338;e.Zsmall=63354;e.Zstroke=437;e.a=97;e.aabengali=2438;e.aacute=225;e.aadeva=2310;e.aagujarati=2694;e.aagurmukhi=2566;e.aamatragurmukhi=2622;e.aarusquare=13059;e.aavowelsignbengali=2494;e.aavowelsigndeva=2366;e.aavowelsigngujarati=2750;e.abbreviationmarkarmenian=1375;e.abbreviationsigndeva=2416;e.abengali=2437;e.abopomofo=12570;e.abreve=259;e.abreveacute=7855;e.abrevecyrillic=1233;e.abrevedotbel\ -ow=7863;e.abrevegrave=7857;e.abrevehookabove=7859;e.abrevetilde=7861;e.acaron=462;e.acircle=9424;e.acircumflex=226;e.acircumflexacute=7845;e.acircumflexdotbelow=7853;e.acircumflexgrave=7847;e.acircumflexhookabove=7849;e.acircumflextilde=7851;e.acute=180;e.acutebelowcmb=791;e.acutecmb=769;e.acutecomb=769;e.acutedeva=2388;e.acutelowmod=719;e.acutetonecmb=833;e.acyrillic=1072;e.adblgrave=513;e.addakgurmukhi=2673;e.adeva=2309;e.adieresis=228;e.adieresiscyrillic=1235;e.adieresismacron=479;e.adotbelow\ -=7841;e.adotmacron=481;e.ae=230;e.aeacute=509;e.aekorean=12624;e.aemacron=483;e.afii00208=8213;e.afii08941=8356;e.afii10017=1040;e.afii10018=1041;e.afii10019=1042;e.afii10020=1043;e.afii10021=1044;e.afii10022=1045;e.afii10023=1025;e.afii10024=1046;e.afii10025=1047;e.afii10026=1048;e.afii10027=1049;e.afii10028=1050;e.afii10029=1051;e.afii10030=1052;e.afii10031=1053;e.afii10032=1054;e.afii10033=1055;e.afii10034=1056;e.afii10035=1057;e.afii10036=1058;e.afii10037=1059;e.afii10038=1060;e.afii10039=10\ -61;e.afii10040=1062;e.afii10041=1063;e.afii10042=1064;e.afii10043=1065;e.afii10044=1066;e.afii10045=1067;e.afii10046=1068;e.afii10047=1069;e.afii10048=1070;e.afii10049=1071;e.afii10050=1168;e.afii10051=1026;e.afii10052=1027;e.afii10053=1028;e.afii10054=1029;e.afii10055=1030;e.afii10056=1031;e.afii10057=1032;e.afii10058=1033;e.afii10059=1034;e.afii10060=1035;e.afii10061=1036;e.afii10062=1038;e.afii10063=63172;e.afii10064=63173;e.afii10065=1072;e.afii10066=1073;e.afii10067=1074;e.afii10068=1075;e.\ -afii10069=1076;e.afii10070=1077;e.afii10071=1105;e.afii10072=1078;e.afii10073=1079;e.afii10074=1080;e.afii10075=1081;e.afii10076=1082;e.afii10077=1083;e.afii10078=1084;e.afii10079=1085;e.afii10080=1086;e.afii10081=1087;e.afii10082=1088;e.afii10083=1089;e.afii10084=1090;e.afii10085=1091;e.afii10086=1092;e.afii10087=1093;e.afii10088=1094;e.afii10089=1095;e.afii10090=1096;e.afii10091=1097;e.afii10092=1098;e.afii10093=1099;e.afii10094=1100;e.afii10095=1101;e.afii10096=1102;e.afii10097=1103;e.afii100\ -98=1169;e.afii10099=1106;e.afii10100=1107;e.afii10101=1108;e.afii10102=1109;e.afii10103=1110;e.afii10104=1111;e.afii10105=1112;e.afii10106=1113;e.afii10107=1114;e.afii10108=1115;e.afii10109=1116;e.afii10110=1118;e.afii10145=1039;e.afii10146=1122;e.afii10147=1138;e.afii10148=1140;e.afii10192=63174;e.afii10193=1119;e.afii10194=1123;e.afii10195=1139;e.afii10196=1141;e.afii10831=63175;e.afii10832=63176;e.afii10846=1241;e.afii299=8206;e.afii300=8207;e.afii301=8205;e.afii57381=1642;e.afii57388=1548;e.\ -afii57392=1632;e.afii57393=1633;e.afii57394=1634;e.afii57395=1635;e.afii57396=1636;e.afii57397=1637;e.afii57398=1638;e.afii57399=1639;e.afii57400=1640;e.afii57401=1641;e.afii57403=1563;e.afii57407=1567;e.afii57409=1569;e.afii57410=1570;e.afii57411=1571;e.afii57412=1572;e.afii57413=1573;e.afii57414=1574;e.afii57415=1575;e.afii57416=1576;e.afii57417=1577;e.afii57418=1578;e.afii57419=1579;e.afii57420=1580;e.afii57421=1581;e.afii57422=1582;e.afii57423=1583;e.afii57424=1584;e.afii57425=1585;e.afii574\ -26=1586;e.afii57427=1587;e.afii57428=1588;e.afii57429=1589;e.afii57430=1590;e.afii57431=1591;e.afii57432=1592;e.afii57433=1593;e.afii57434=1594;e.afii57440=1600;e.afii57441=1601;e.afii57442=1602;e.afii57443=1603;e.afii57444=1604;e.afii57445=1605;e.afii57446=1606;e.afii57448=1608;e.afii57449=1609;e.afii57450=1610;e.afii57451=1611;e.afii57452=1612;e.afii57453=1613;e.afii57454=1614;e.afii57455=1615;e.afii57456=1616;e.afii57457=1617;e.afii57458=1618;e.afii57470=1607;e.afii57505=1700;e.afii57506=1662\ -;e.afii57507=1670;e.afii57508=1688;e.afii57509=1711;e.afii57511=1657;e.afii57512=1672;e.afii57513=1681;e.afii57514=1722;e.afii57519=1746;e.afii57534=1749;e.afii57636=8362;e.afii57645=1470;e.afii57658=1475;e.afii57664=1488;e.afii57665=1489;e.afii57666=1490;e.afii57667=1491;e.afii57668=1492;e.afii57669=1493;e.afii57670=1494;e.afii57671=1495;e.afii57672=1496;e.afii57673=1497;e.afii57674=1498;e.afii57675=1499;e.afii57676=1500;e.afii57677=1501;e.afii57678=1502;e.afii57679=1503;e.afii57680=1504;e.afii\ -57681=1505;e.afii57682=1506;e.afii57683=1507;e.afii57684=1508;e.afii57685=1509;e.afii57686=1510;e.afii57687=1511;e.afii57688=1512;e.afii57689=1513;e.afii57690=1514;e.afii57694=64298;e.afii57695=64299;e.afii57700=64331;e.afii57705=64287;e.afii57716=1520;e.afii57717=1521;e.afii57718=1522;e.afii57723=64309;e.afii57793=1460;e.afii57794=1461;e.afii57795=1462;e.afii57796=1467;e.afii57797=1464;e.afii57798=1463;e.afii57799=1456;e.afii57800=1458;e.afii57801=1457;e.afii57802=1459;e.afii57803=1474;e.afii57\ -804=1473;e.afii57806=1465;e.afii57807=1468;e.afii57839=1469;e.afii57841=1471;e.afii57842=1472;e.afii57929=700;e.afii61248=8453;e.afii61289=8467;e.afii61352=8470;e.afii61573=8236;e.afii61574=8237;e.afii61575=8238;e.afii61664=8204;e.afii63167=1645;e.afii64937=701;e.agrave=224;e.agujarati=2693;e.agurmukhi=2565;e.ahiragana=12354;e.ahookabove=7843;e.aibengali=2448;e.aibopomofo=12574;e.aideva=2320;e.aiecyrillic=1237;e.aigujarati=2704;e.aigurmukhi=2576;e.aimatragurmukhi=2632;e.ainarabic=1593;e.ainfinal\ -arabic=65226;e.aininitialarabic=65227;e.ainmedialarabic=65228;e.ainvertedbreve=515;e.aivowelsignbengali=2504;e.aivowelsigndeva=2376;e.aivowelsigngujarati=2760;e.akatakana=12450;e.akatakanahalfwidth=65393;e.akorean=12623;e.alef=1488;e.alefarabic=1575;e.alefdageshhebrew=64304;e.aleffinalarabic=65166;e.alefhamzaabovearabic=1571;e.alefhamzaabovefinalarabic=65156;e.alefhamzabelowarabic=1573;e.alefhamzabelowfinalarabic=65160;e.alefhebrew=1488;e.aleflamedhebrew=64335;e.alefmaddaabovearabic=1570;e.alefm\ -addaabovefinalarabic=65154;e.alefmaksuraarabic=1609;e.alefmaksurafinalarabic=65264;e.alefmaksurainitialarabic=65267;e.alefmaksuramedialarabic=65268;e.alefpatahhebrew=64302;e.alefqamatshebrew=64303;e.aleph=8501;e.allequal=8780;e.alpha=945;e.alphatonos=940;e.amacron=257;e.amonospace=65345;e.ampersand=38;e.ampersandmonospace=65286;e.ampersandsmall=63270;e.amsquare=13250;e.anbopomofo=12578;e.angbopomofo=12580;e.angbracketleft=12296;e.angbracketright=12297;e.angkhankhuthai=3674;e.angle=8736;e.anglebr\ -acketleft=12296;e.anglebracketleftvertical=65087;e.anglebracketright=12297;e.anglebracketrightvertical=65088;e.angleleft=9001;e.angleright=9002;e.angstrom=8491;e.anoteleia=903;e.anudattadeva=2386;e.anusvarabengali=2434;e.anusvaradeva=2306;e.anusvaragujarati=2690;e.aogonek=261;e.apaatosquare=13056;e.aparen=9372;e.apostrophearmenian=1370;e.apostrophemod=700;e.apple=63743;e.approaches=8784;e.approxequal=8776;e.approxequalorimage=8786;e.approximatelyequal=8773;e.araeaekorean=12686;e.araeakorean=1268\ -5;e.arc=8978;e.arighthalfring=7834;e.aring=229;e.aringacute=507;e.aringbelow=7681;e.arrowboth=8596;e.arrowdashdown=8675;e.arrowdashleft=8672;e.arrowdashright=8674;e.arrowdashup=8673;e.arrowdblboth=8660;e.arrowdbldown=8659;e.arrowdblleft=8656;e.arrowdblright=8658;e.arrowdblup=8657;e.arrowdown=8595;e.arrowdownleft=8601;e.arrowdownright=8600;e.arrowdownwhite=8681;e.arrowheaddownmod=709;e.arrowheadleftmod=706;e.arrowheadrightmod=707;e.arrowheadupmod=708;e.arrowhorizex=63719;e.arrowleft=8592;e.arrowl\ -eftdbl=8656;e.arrowleftdblstroke=8653;e.arrowleftoverright=8646;e.arrowleftwhite=8678;e.arrowright=8594;e.arrowrightdblstroke=8655;e.arrowrightheavy=10142;e.arrowrightoverleft=8644;e.arrowrightwhite=8680;e.arrowtableft=8676;e.arrowtabright=8677;e.arrowup=8593;e.arrowupdn=8597;e.arrowupdnbse=8616;e.arrowupdownbase=8616;e.arrowupleft=8598;e.arrowupleftofdown=8645;e.arrowupright=8599;e.arrowupwhite=8679;e.arrowvertex=63718;e.asciicircum=94;e.asciicircummonospace=65342;e.asciitilde=126;e.asciitildem\ -onospace=65374;e.ascript=593;e.ascriptturned=594;e.asmallhiragana=12353;e.asmallkatakana=12449;e.asmallkatakanahalfwidth=65383;e.asterisk=42;e.asteriskaltonearabic=1645;e.asteriskarabic=1645;e.asteriskmath=8727;e.asteriskmonospace=65290;e.asterisksmall=65121;e.asterism=8258;e.asuperior=63209;e.asymptoticallyequal=8771;e.at=64;e.atilde=227;e.atmonospace=65312;e.atsmall=65131;e.aturned=592;e.aubengali=2452;e.aubopomofo=12576;e.audeva=2324;e.augujarati=2708;e.augurmukhi=2580;e.aulengthmarkbengali=2\ -519;e.aumatragurmukhi=2636;e.auvowelsignbengali=2508;e.auvowelsigndeva=2380;e.auvowelsigngujarati=2764;e.avagrahadeva=2365;e.aybarmenian=1377;e.ayin=1506;e.ayinaltonehebrew=64288;e.ayinhebrew=1506;e.b=98;e.babengali=2476;e.backslash=92;e.backslashmonospace=65340;e.badeva=2348;e.bagujarati=2732;e.bagurmukhi=2604;e.bahiragana=12400;e.bahtthai=3647;e.bakatakana=12496;e.bar=124;e.barmonospace=65372;e.bbopomofo=12549;e.bcircle=9425;e.bdotaccent=7683;e.bdotbelow=7685;e.beamedsixteenthnotes=9836;e.beca\ -use=8757;e.becyrillic=1073;e.beharabic=1576;e.behfinalarabic=65168;e.behinitialarabic=65169;e.behiragana=12409;e.behmedialarabic=65170;e.behmeeminitialarabic=64671;e.behmeemisolatedarabic=64520;e.behnoonfinalarabic=64621;e.bekatakana=12505;e.benarmenian=1378;e.bet=1489;e.beta=946;e.betasymbolgreek=976;e.betdagesh=64305;e.betdageshhebrew=64305;e.bethebrew=1489;e.betrafehebrew=64332;e.bhabengali=2477;e.bhadeva=2349;e.bhagujarati=2733;e.bhagurmukhi=2605;e.bhook=595;e.bihiragana=12403;e.bikatakana=1\ -2499;e.bilabialclick=664;e.bindigurmukhi=2562;e.birusquare=13105;e.blackcircle=9679;e.blackdiamond=9670;e.blackdownpointingtriangle=9660;e.blackleftpointingpointer=9668;e.blackleftpointingtriangle=9664;e.blacklenticularbracketleft=12304;e.blacklenticularbracketleftvertical=65083;e.blacklenticularbracketright=12305;e.blacklenticularbracketrightvertical=65084;e.blacklowerlefttriangle=9699;e.blacklowerrighttriangle=9698;e.blackrectangle=9644;e.blackrightpointingpointer=9658;e.blackrightpointingtria\ -ngle=9654;e.blacksmallsquare=9642;e.blacksmilingface=9787;e.blacksquare=9632;e.blackstar=9733;e.blackupperlefttriangle=9700;e.blackupperrighttriangle=9701;e.blackuppointingsmalltriangle=9652;e.blackuppointingtriangle=9650;e.blank=9251;e.blinebelow=7687;e.block=9608;e.bmonospace=65346;e.bobaimaithai=3610;e.bohiragana=12412;e.bokatakana=12508;e.bparen=9373;e.bqsquare=13251;e.braceex=63732;e.braceleft=123;e.braceleftbt=63731;e.braceleftmid=63730;e.braceleftmonospace=65371;e.braceleftsmall=65115;e.b\ -racelefttp=63729;e.braceleftvertical=65079;e.braceright=125;e.bracerightbt=63742;e.bracerightmid=63741;e.bracerightmonospace=65373;e.bracerightsmall=65116;e.bracerighttp=63740;e.bracerightvertical=65080;e.bracketleft=91;e.bracketleftbt=63728;e.bracketleftex=63727;e.bracketleftmonospace=65339;e.bracketlefttp=63726;e.bracketright=93;e.bracketrightbt=63739;e.bracketrightex=63738;e.bracketrightmonospace=65341;e.bracketrighttp=63737;e.breve=728;e.brevebelowcmb=814;e.brevecmb=774;e.breveinvertedbelowc\ -mb=815;e.breveinvertedcmb=785;e.breveinverteddoublecmb=865;e.bridgebelowcmb=810;e.bridgeinvertedbelowcmb=826;e.brokenbar=166;e.bstroke=384;e.bsuperior=63210;e.btopbar=387;e.buhiragana=12406;e.bukatakana=12502;e.bullet=8226;e.bulletinverse=9688;e.bulletoperator=8729;e.bullseye=9678;e.c=99;e.caarmenian=1390;e.cabengali=2458;e.cacute=263;e.cadeva=2330;e.cagujarati=2714;e.cagurmukhi=2586;e.calsquare=13192;e.candrabindubengali=2433;e.candrabinducmb=784;e.candrabindudeva=2305;e.candrabindugujarati=268\ -9;e.capslock=8682;e.careof=8453;e.caron=711;e.caronbelowcmb=812;e.caroncmb=780;e.carriagereturn=8629;e.cbopomofo=12568;e.ccaron=269;e.ccedilla=231;e.ccedillaacute=7689;e.ccircle=9426;e.ccircumflex=265;e.ccurl=597;e.cdot=267;e.cdotaccent=267;e.cdsquare=13253;e.cedilla=184;e.cedillacmb=807;e.cent=162;e.centigrade=8451;e.centinferior=63199;e.centmonospace=65504;e.centoldstyle=63394;e.centsuperior=63200;e.chaarmenian=1401;e.chabengali=2459;e.chadeva=2331;e.chagujarati=2715;e.chagurmukhi=2587;e.chbop\ -omofo=12564;e.cheabkhasiancyrillic=1213;e.checkmark=10003;e.checyrillic=1095;e.chedescenderabkhasiancyrillic=1215;e.chedescendercyrillic=1207;e.chedieresiscyrillic=1269;e.cheharmenian=1395;e.chekhakassiancyrillic=1228;e.cheverticalstrokecyrillic=1209;e.chi=967;e.chieuchacirclekorean=12919;e.chieuchaparenkorean=12823;e.chieuchcirclekorean=12905;e.chieuchkorean=12618;e.chieuchparenkorean=12809;e.chochangthai=3594;e.chochanthai=3592;e.chochingthai=3593;e.chochoethai=3596;e.chook=392;e.cieucacirclek\ -orean=12918;e.cieucaparenkorean=12822;e.cieuccirclekorean=12904;e.cieuckorean=12616;e.cieucparenkorean=12808;e.cieucuparenkorean=12828;e.circle=9675;e.circlecopyrt=169;e.circlemultiply=8855;e.circleot=8857;e.circleplus=8853;e.circlepostalmark=12342;e.circlewithlefthalfblack=9680;e.circlewithrighthalfblack=9681;e.circumflex=710;e.circumflexbelowcmb=813;e.circumflexcmb=770;e.clear=8999;e.clickalveolar=450;e.clickdental=448;e.clicklateral=449;e.clickretroflex=451;e.club=9827;e.clubsuitblack=9827;e.\ -clubsuitwhite=9831;e.cmcubedsquare=13220;e.cmonospace=65347;e.cmsquaredsquare=13216;e.coarmenian=1409;e.colon=58;e.colonmonetary=8353;e.colonmonospace=65306;e.colonsign=8353;e.colonsmall=65109;e.colontriangularhalfmod=721;e.colontriangularmod=720;e.comma=44;e.commaabovecmb=787;e.commaaboverightcmb=789;e.commaaccent=63171;e.commaarabic=1548;e.commaarmenian=1373;e.commainferior=63201;e.commamonospace=65292;e.commareversedabovecmb=788;e.commareversedmod=701;e.commasmall=65104;e.commasuperior=63202;\ -e.commaturnedabovecmb=786;e.commaturnedmod=699;e.compass=9788;e.congruent=8773;e.contourintegral=8750;e.control=8963;e.controlACK=6;e.controlBEL=7;e.controlBS=8;e.controlCAN=24;e.controlCR=13;e.controlDC1=17;e.controlDC2=18;e.controlDC3=19;e.controlDC4=20;e.controlDEL=127;e.controlDLE=16;e.controlEM=25;e.controlENQ=5;e.controlEOT=4;e.controlESC=27;e.controlETB=23;e.controlETX=3;e.controlFF=12;e.controlFS=28;e.controlGS=29;e.controlHT=9;e.controlLF=10;e.controlNAK=21;e.controlNULL=0;e.controlRS=3\ -0;e.controlSI=15;e.controlSO=14;e.controlSOT=2;e.controlSTX=1;e.controlSUB=26;e.controlSYN=22;e.controlUS=31;e.controlVT=11;e.copyright=169;e.copyrightsans=63721;e.copyrightserif=63193;e.cornerbracketleft=12300;e.cornerbracketlefthalfwidth=65378;e.cornerbracketleftvertical=65089;e.cornerbracketright=12301;e.cornerbracketrighthalfwidth=65379;e.cornerbracketrightvertical=65090;e.corporationsquare=13183;e.cosquare=13255;e.coverkgsquare=13254;e.cparen=9374;e.cruzeiro=8354;e.cstretched=663;e.curlyand\ -=8911;e.curlyor=8910;e.currency=164;e.cyrBreve=63185;e.cyrFlex=63186;e.cyrbreve=63188;e.cyrflex=63189;e.d=100;e.daarmenian=1380;e.dabengali=2470;e.dadarabic=1590;e.dadeva=2342;e.dadfinalarabic=65214;e.dadinitialarabic=65215;e.dadmedialarabic=65216;e.dagesh=1468;e.dageshhebrew=1468;e.dagger=8224;e.daggerdbl=8225;e.dagujarati=2726;e.dagurmukhi=2598;e.dahiragana=12384;e.dakatakana=12480;e.dalarabic=1583;e.dalet=1491;e.daletdagesh=64307;e.daletdageshhebrew=64307;e.dalethebrew=1491;e.dalfinalarabic=6\ -5194;e.dammaarabic=1615;e.dammalowarabic=1615;e.dammatanaltonearabic=1612;e.dammatanarabic=1612;e.danda=2404;e.dargahebrew=1447;e.dargalefthebrew=1447;e.dasiapneumatacyrilliccmb=1157;e.dblGrave=63187;e.dblanglebracketleft=12298;e.dblanglebracketleftvertical=65085;e.dblanglebracketright=12299;e.dblanglebracketrightvertical=65086;e.dblarchinvertedbelowcmb=811;e.dblarrowleft=8660;e.dblarrowright=8658;e.dbldanda=2405;e.dblgrave=63190;e.dblgravecmb=783;e.dblintegral=8748;e.dbllowline=8215;e.dbllowlin\ -ecmb=819;e.dbloverlinecmb=831;e.dblprimemod=698;e.dblverticalbar=8214;e.dblverticallineabovecmb=782;e.dbopomofo=12553;e.dbsquare=13256;e.dcaron=271;e.dcedilla=7697;e.dcircle=9427;e.dcircumflexbelow=7699;e.dcroat=273;e.ddabengali=2465;e.ddadeva=2337;e.ddagujarati=2721;e.ddagurmukhi=2593;e.ddalarabic=1672;e.ddalfinalarabic=64393;e.dddhadeva=2396;e.ddhabengali=2466;e.ddhadeva=2338;e.ddhagujarati=2722;e.ddhagurmukhi=2594;e.ddotaccent=7691;e.ddotbelow=7693;e.decimalseparatorarabic=1643;e.decimalsepar\ -atorpersian=1643;e.decyrillic=1076;e.degree=176;e.dehihebrew=1453;e.dehiragana=12391;e.deicoptic=1007;e.dekatakana=12487;e.deleteleft=9003;e.deleteright=8998;e.delta=948;e.deltaturned=397;e.denominatorminusonenumeratorbengali=2552;e.dezh=676;e.dhabengali=2471;e.dhadeva=2343;e.dhagujarati=2727;e.dhagurmukhi=2599;e.dhook=599;e.dialytikatonos=901;e.dialytikatonoscmb=836;e.diamond=9830;e.diamondsuitwhite=9826;e.dieresis=168;e.dieresisacute=63191;e.dieresisbelowcmb=804;e.dieresiscmb=776;e.dieresisgra\ -ve=63192;e.dieresistonos=901;e.dihiragana=12386;e.dikatakana=12482;e.dittomark=12291;e.divide=247;e.divides=8739;e.divisionslash=8725;e.djecyrillic=1106;e.dkshade=9619;e.dlinebelow=7695;e.dlsquare=13207;e.dmacron=273;e.dmonospace=65348;e.dnblock=9604;e.dochadathai=3598;e.dodekthai=3604;e.dohiragana=12393;e.dokatakana=12489;e.dollar=36;e.dollarinferior=63203;e.dollarmonospace=65284;e.dollaroldstyle=63268;e.dollarsmall=65129;e.dollarsuperior=63204;e.dong=8363;e.dorusquare=13094;e.dotaccent=729;e.d\ -otaccentcmb=775;e.dotbelowcmb=803;e.dotbelowcomb=803;e.dotkatakana=12539;e.dotlessi=305;e.dotlessj=63166;e.dotlessjstrokehook=644;e.dotmath=8901;e.dottedcircle=9676;e.doubleyodpatah=64287;e.doubleyodpatahhebrew=64287;e.downtackbelowcmb=798;e.downtackmod=725;e.dparen=9375;e.dsuperior=63211;e.dtail=598;e.dtopbar=396;e.duhiragana=12389;e.dukatakana=12485;e.dz=499;e.dzaltone=675;e.dzcaron=454;e.dzcurl=677;e.dzeabkhasiancyrillic=1249;e.dzecyrillic=1109;e.dzhecyrillic=1119;e.e=101;e.eacute=233;e.earth\ -=9793;e.ebengali=2447;e.ebopomofo=12572;e.ebreve=277;e.ecandradeva=2317;e.ecandragujarati=2701;e.ecandravowelsigndeva=2373;e.ecandravowelsigngujarati=2757;e.ecaron=283;e.ecedillabreve=7709;e.echarmenian=1381;e.echyiwnarmenian=1415;e.ecircle=9428;e.ecircumflex=234;e.ecircumflexacute=7871;e.ecircumflexbelow=7705;e.ecircumflexdotbelow=7879;e.ecircumflexgrave=7873;e.ecircumflexhookabove=7875;e.ecircumflextilde=7877;e.ecyrillic=1108;e.edblgrave=517;e.edeva=2319;e.edieresis=235;e.edot=279;e.edotaccent\ -=279;e.edotbelow=7865;e.eegurmukhi=2575;e.eematragurmukhi=2631;e.efcyrillic=1092;e.egrave=232;e.egujarati=2703;e.eharmenian=1383;e.ehbopomofo=12573;e.ehiragana=12360;e.ehookabove=7867;e.eibopomofo=12575;e.eight=56;e.eightarabic=1640;e.eightbengali=2542;e.eightcircle=9319;e.eightcircleinversesansserif=10129;e.eightdeva=2414;e.eighteencircle=9329;e.eighteenparen=9349;e.eighteenperiod=9369;e.eightgujarati=2798;e.eightgurmukhi=2670;e.eighthackarabic=1640;e.eighthangzhou=12328;e.eighthnotebeamed=9835\ -;e.eightideographicparen=12839;e.eightinferior=8328;e.eightmonospace=65304;e.eightoldstyle=63288;e.eightparen=9339;e.eightperiod=9359;e.eightpersian=1784;e.eightroman=8567;e.eightsuperior=8312;e.eightthai=3672;e.einvertedbreve=519;e.eiotifiedcyrillic=1125;e.ekatakana=12456;e.ekatakanahalfwidth=65396;e.ekonkargurmukhi=2676;e.ekorean=12628;e.elcyrillic=1083;e.element=8712;e.elevencircle=9322;e.elevenparen=9342;e.elevenperiod=9362;e.elevenroman=8570;e.ellipsis=8230;e.ellipsisvertical=8942;e.emacron\ -=275;e.emacronacute=7703;e.emacrongrave=7701;e.emcyrillic=1084;e.emdash=8212;e.emdashvertical=65073;e.emonospace=65349;e.emphasismarkarmenian=1371;e.emptyset=8709;e.enbopomofo=12579;e.encyrillic=1085;e.endash=8211;e.endashvertical=65074;e.endescendercyrillic=1187;e.eng=331;e.engbopomofo=12581;e.enghecyrillic=1189;e.enhookcyrillic=1224;e.enspace=8194;e.eogonek=281;e.eokorean=12627;e.eopen=603;e.eopenclosed=666;e.eopenreversed=604;e.eopenreversedclosed=606;e.eopenreversedhook=605;e.eparen=9376;e.e\ -psilon=949;e.epsilontonos=941;e.equal=61;e.equalmonospace=65309;e.equalsmall=65126;e.equalsuperior=8316;e.equivalence=8801;e.erbopomofo=12582;e.ercyrillic=1088;e.ereversed=600;e.ereversedcyrillic=1101;e.escyrillic=1089;e.esdescendercyrillic=1195;e.esh=643;e.eshcurl=646;e.eshortdeva=2318;e.eshortvowelsigndeva=2374;e.eshreversedloop=426;e.eshsquatreversed=645;e.esmallhiragana=12359;e.esmallkatakana=12455;e.esmallkatakanahalfwidth=65386;e.estimated=8494;e.esuperior=63212;e.eta=951;e.etarmenian=1384\ -;e.etatonos=942;e.eth=240;e.etilde=7869;e.etildebelow=7707;e.etnahtafoukhhebrew=1425;e.etnahtafoukhlefthebrew=1425;e.etnahtahebrew=1425;e.etnahtalefthebrew=1425;e.eturned=477;e.eukorean=12641;e.euro=8364;e.evowelsignbengali=2503;e.evowelsigndeva=2375;e.evowelsigngujarati=2759;e.exclam=33;e.exclamarmenian=1372;e.exclamdbl=8252;e.exclamdown=161;e.exclamdownsmall=63393;e.exclammonospace=65281;e.exclamsmall=63265;e.existential=8707;e.ezh=658;e.ezhcaron=495;e.ezhcurl=659;e.ezhreversed=441;e.ezhtail=4\ -42;e.f=102;e.fadeva=2398;e.fagurmukhi=2654;e.fahrenheit=8457;e.fathaarabic=1614;e.fathalowarabic=1614;e.fathatanarabic=1611;e.fbopomofo=12552;e.fcircle=9429;e.fdotaccent=7711;e.feharabic=1601;e.feharmenian=1414;e.fehfinalarabic=65234;e.fehinitialarabic=65235;e.fehmedialarabic=65236;e.feicoptic=997;e.female=9792;e.ff=64256;e.f_f=64256;e.ffi=64259;e.f_f_i=64259;e.ffl=64260;e.f_f_l=64260;e.fi=64257;e.f_i=64257;e.fifteencircle=9326;e.fifteenparen=9346;e.fifteenperiod=9366;e.figuredash=8210;e.filledb\ -ox=9632;e.filledrect=9644;e.finalkaf=1498;e.finalkafdagesh=64314;e.finalkafdageshhebrew=64314;e.finalkafhebrew=1498;e.finalmem=1501;e.finalmemhebrew=1501;e.finalnun=1503;e.finalnunhebrew=1503;e.finalpe=1507;e.finalpehebrew=1507;e.finaltsadi=1509;e.finaltsadihebrew=1509;e.firsttonechinese=713;e.fisheye=9673;e.fitacyrillic=1139;e.five=53;e.fivearabic=1637;e.fivebengali=2539;e.fivecircle=9316;e.fivecircleinversesansserif=10126;e.fivedeva=2411;e.fiveeighths=8541;e.fivegujarati=2795;e.fivegurmukhi=26\ -67;e.fivehackarabic=1637;e.fivehangzhou=12325;e.fiveideographicparen=12836;e.fiveinferior=8325;e.fivemonospace=65301;e.fiveoldstyle=63285;e.fiveparen=9336;e.fiveperiod=9356;e.fivepersian=1781;e.fiveroman=8564;e.fivesuperior=8309;e.fivethai=3669;e.fl=64258;e.f_l=64258;e.florin=402;e.fmonospace=65350;e.fmsquare=13209;e.fofanthai=3615;e.fofathai=3613;e.fongmanthai=3663;e.forall=8704;e.four=52;e.fourarabic=1636;e.fourbengali=2538;e.fourcircle=9315;e.fourcircleinversesansserif=10125;e.fourdeva=2410;e\ -.fourgujarati=2794;e.fourgurmukhi=2666;e.fourhackarabic=1636;e.fourhangzhou=12324;e.fourideographicparen=12835;e.fourinferior=8324;e.fourmonospace=65300;e.fournumeratorbengali=2551;e.fouroldstyle=63284;e.fourparen=9335;e.fourperiod=9355;e.fourpersian=1780;e.fourroman=8563;e.foursuperior=8308;e.fourteencircle=9325;e.fourteenparen=9345;e.fourteenperiod=9365;e.fourthai=3668;e.fourthtonechinese=715;e.fparen=9377;e.fraction=8260;e.franc=8355;e.g=103;e.gabengali=2455;e.gacute=501;e.gadeva=2327;e.gafar\ -abic=1711;e.gaffinalarabic=64403;e.gafinitialarabic=64404;e.gafmedialarabic=64405;e.gagujarati=2711;e.gagurmukhi=2583;e.gahiragana=12364;e.gakatakana=12460;e.gamma=947;e.gammalatinsmall=611;e.gammasuperior=736;e.gangiacoptic=1003;e.gbopomofo=12557;e.gbreve=287;e.gcaron=487;e.gcedilla=291;e.gcircle=9430;e.gcircumflex=285;e.gcommaaccent=291;e.gdot=289;e.gdotaccent=289;e.gecyrillic=1075;e.gehiragana=12370;e.gekatakana=12466;e.geometricallyequal=8785;e.gereshaccenthebrew=1436;e.gereshhebrew=1523;e.g\ -ereshmuqdamhebrew=1437;e.germandbls=223;e.gershayimaccenthebrew=1438;e.gershayimhebrew=1524;e.getamark=12307;e.ghabengali=2456;e.ghadarmenian=1394;e.ghadeva=2328;e.ghagujarati=2712;e.ghagurmukhi=2584;e.ghainarabic=1594;e.ghainfinalarabic=65230;e.ghaininitialarabic=65231;e.ghainmedialarabic=65232;e.ghemiddlehookcyrillic=1173;e.ghestrokecyrillic=1171;e.gheupturncyrillic=1169;e.ghhadeva=2394;e.ghhagurmukhi=2650;e.ghook=608;e.ghzsquare=13203;e.gihiragana=12366;e.gikatakana=12462;e.gimarmenian=1379;e\ -.gimel=1490;e.gimeldagesh=64306;e.gimeldageshhebrew=64306;e.gimelhebrew=1490;e.gjecyrillic=1107;e.glottalinvertedstroke=446;e.glottalstop=660;e.glottalstopinverted=662;e.glottalstopmod=704;e.glottalstopreversed=661;e.glottalstopreversedmod=705;e.glottalstopreversedsuperior=740;e.glottalstopstroke=673;e.glottalstopstrokereversed=674;e.gmacron=7713;e.gmonospace=65351;e.gohiragana=12372;e.gokatakana=12468;e.gparen=9378;e.gpasquare=13228;e.gradient=8711;e.grave=96;e.gravebelowcmb=790;e.gravecmb=768;\ -e.gravecomb=768;e.gravedeva=2387;e.gravelowmod=718;e.gravemonospace=65344;e.gravetonecmb=832;e.greater=62;e.greaterequal=8805;e.greaterequalorless=8923;e.greatermonospace=65310;e.greaterorequivalent=8819;e.greaterorless=8823;e.greateroverequal=8807;e.greatersmall=65125;e.gscript=609;e.gstroke=485;e.guhiragana=12368;e.guillemotleft=171;e.guillemotright=187;e.guilsinglleft=8249;e.guilsinglright=8250;e.gukatakana=12464;e.guramusquare=13080;e.gysquare=13257;e.h=104;e.haabkhasiancyrillic=1193;e.haalt\ -onearabic=1729;e.habengali=2489;e.hadescendercyrillic=1203;e.hadeva=2361;e.hagujarati=2745;e.hagurmukhi=2617;e.haharabic=1581;e.hahfinalarabic=65186;e.hahinitialarabic=65187;e.hahiragana=12399;e.hahmedialarabic=65188;e.haitusquare=13098;e.hakatakana=12495;e.hakatakanahalfwidth=65418;e.halantgurmukhi=2637;e.hamzaarabic=1569;e.hamzalowarabic=1569;e.hangulfiller=12644;e.hardsigncyrillic=1098;e.harpoonleftbarbup=8636;e.harpoonrightbarbup=8640;e.hasquare=13258;e.hatafpatah=1458;e.hatafpatah16=1458;e.\ -hatafpatah23=1458;e.hatafpatah2f=1458;e.hatafpatahhebrew=1458;e.hatafpatahnarrowhebrew=1458;e.hatafpatahquarterhebrew=1458;e.hatafpatahwidehebrew=1458;e.hatafqamats=1459;e.hatafqamats1b=1459;e.hatafqamats28=1459;e.hatafqamats34=1459;e.hatafqamatshebrew=1459;e.hatafqamatsnarrowhebrew=1459;e.hatafqamatsquarterhebrew=1459;e.hatafqamatswidehebrew=1459;e.hatafsegol=1457;e.hatafsegol17=1457;e.hatafsegol24=1457;e.hatafsegol30=1457;e.hatafsegolhebrew=1457;e.hatafsegolnarrowhebrew=1457;e.hatafsegolquarte\ -rhebrew=1457;e.hatafsegolwidehebrew=1457;e.hbar=295;e.hbopomofo=12559;e.hbrevebelow=7723;e.hcedilla=7721;e.hcircle=9431;e.hcircumflex=293;e.hdieresis=7719;e.hdotaccent=7715;e.hdotbelow=7717;e.he=1492;e.heart=9829;e.heartsuitblack=9829;e.heartsuitwhite=9825;e.hedagesh=64308;e.hedageshhebrew=64308;e.hehaltonearabic=1729;e.heharabic=1607;e.hehebrew=1492;e.hehfinalaltonearabic=64423;e.hehfinalalttwoarabic=65258;e.hehfinalarabic=65258;e.hehhamzaabovefinalarabic=64421;e.hehhamzaaboveisolatedarabic=644\ -20;e.hehinitialaltonearabic=64424;e.hehinitialarabic=65259;e.hehiragana=12408;e.hehmedialaltonearabic=64425;e.hehmedialarabic=65260;e.heiseierasquare=13179;e.hekatakana=12504;e.hekatakanahalfwidth=65421;e.hekutaarusquare=13110;e.henghook=615;e.herutusquare=13113;e.het=1495;e.hethebrew=1495;e.hhook=614;e.hhooksuperior=689;e.hieuhacirclekorean=12923;e.hieuhaparenkorean=12827;e.hieuhcirclekorean=12909;e.hieuhkorean=12622;e.hieuhparenkorean=12813;e.hihiragana=12402;e.hikatakana=12498;e.hikatakanahal\ -fwidth=65419;e.hiriq=1460;e.hiriq14=1460;e.hiriq21=1460;e.hiriq2d=1460;e.hiriqhebrew=1460;e.hiriqnarrowhebrew=1460;e.hiriqquarterhebrew=1460;e.hiriqwidehebrew=1460;e.hlinebelow=7830;e.hmonospace=65352;e.hoarmenian=1392;e.hohipthai=3627;e.hohiragana=12411;e.hokatakana=12507;e.hokatakanahalfwidth=65422;e.holam=1465;e.holam19=1465;e.holam26=1465;e.holam32=1465;e.holamhebrew=1465;e.holamnarrowhebrew=1465;e.holamquarterhebrew=1465;e.holamwidehebrew=1465;e.honokhukthai=3630;e.hookabovecomb=777;e.hookc\ -mb=777;e.hookpalatalizedbelowcmb=801;e.hookretroflexbelowcmb=802;e.hoonsquare=13122;e.horicoptic=1001;e.horizontalbar=8213;e.horncmb=795;e.hotsprings=9832;e.house=8962;e.hparen=9379;e.hsuperior=688;e.hturned=613;e.huhiragana=12405;e.huiitosquare=13107;e.hukatakana=12501;e.hukatakanahalfwidth=65420;e.hungarumlaut=733;e.hungarumlautcmb=779;e.hv=405;e.hyphen=45;e.hypheninferior=63205;e.hyphenmonospace=65293;e.hyphensmall=65123;e.hyphensuperior=63206;e.hyphentwo=8208;e.i=105;e.iacute=237;e.iacyrilli\ -c=1103;e.ibengali=2439;e.ibopomofo=12583;e.ibreve=301;e.icaron=464;e.icircle=9432;e.icircumflex=238;e.icyrillic=1110;e.idblgrave=521;e.ideographearthcircle=12943;e.ideographfirecircle=12939;e.ideographicallianceparen=12863;e.ideographiccallparen=12858;e.ideographiccentrecircle=12965;e.ideographicclose=12294;e.ideographiccomma=12289;e.ideographiccommaleft=65380;e.ideographiccongratulationparen=12855;e.ideographiccorrectcircle=12963;e.ideographicearthparen=12847;e.ideographicenterpriseparen=12861;\ -e.ideographicexcellentcircle=12957;e.ideographicfestivalparen=12864;e.ideographicfinancialcircle=12950;e.ideographicfinancialparen=12854;e.ideographicfireparen=12843;e.ideographichaveparen=12850;e.ideographichighcircle=12964;e.ideographiciterationmark=12293;e.ideographiclaborcircle=12952;e.ideographiclaborparen=12856;e.ideographicleftcircle=12967;e.ideographiclowcircle=12966;e.ideographicmedicinecircle=12969;e.ideographicmetalparen=12846;e.ideographicmoonparen=12842;e.ideographicnameparen=12852;\ -e.ideographicperiod=12290;e.ideographicprintcircle=12958;e.ideographicreachparen=12867;e.ideographicrepresentparen=12857;e.ideographicresourceparen=12862;e.ideographicrightcircle=12968;e.ideographicsecretcircle=12953;e.ideographicselfparen=12866;e.ideographicsocietyparen=12851;e.ideographicspace=12288;e.ideographicspecialparen=12853;e.ideographicstockparen=12849;e.ideographicstudyparen=12859;e.ideographicsunparen=12848;e.ideographicsuperviseparen=12860;e.ideographicwaterparen=12844;e.ideographic\ -woodparen=12845;e.ideographiczero=12295;e.ideographmetalcircle=12942;e.ideographmooncircle=12938;e.ideographnamecircle=12948;e.ideographsuncircle=12944;e.ideographwatercircle=12940;e.ideographwoodcircle=12941;e.ideva=2311;e.idieresis=239;e.idieresisacute=7727;e.idieresiscyrillic=1253;e.idotbelow=7883;e.iebrevecyrillic=1239;e.iecyrillic=1077;e.ieungacirclekorean=12917;e.ieungaparenkorean=12821;e.ieungcirclekorean=12903;e.ieungkorean=12615;e.ieungparenkorean=12807;e.igrave=236;e.igujarati=2695;e.i\ -gurmukhi=2567;e.ihiragana=12356;e.ihookabove=7881;e.iibengali=2440;e.iicyrillic=1080;e.iideva=2312;e.iigujarati=2696;e.iigurmukhi=2568;e.iimatragurmukhi=2624;e.iinvertedbreve=523;e.iishortcyrillic=1081;e.iivowelsignbengali=2496;e.iivowelsigndeva=2368;e.iivowelsigngujarati=2752;e.ij=307;e.ikatakana=12452;e.ikatakanahalfwidth=65394;e.ikorean=12643;e.ilde=732;e.iluyhebrew=1452;e.imacron=299;e.imacroncyrillic=1251;e.imageorapproximatelyequal=8787;e.imatragurmukhi=2623;e.imonospace=65353;e.increment=\ -8710;e.infinity=8734;e.iniarmenian=1387;e.integral=8747;e.integralbottom=8993;e.integralbt=8993;e.integralex=63733;e.integraltop=8992;e.integraltp=8992;e.intersection=8745;e.intisquare=13061;e.invbullet=9688;e.invcircle=9689;e.invsmileface=9787;e.iocyrillic=1105;e.iogonek=303;e.iota=953;e.iotadieresis=970;e.iotadieresistonos=912;e.iotalatin=617;e.iotatonos=943;e.iparen=9380;e.irigurmukhi=2674;e.ismallhiragana=12355;e.ismallkatakana=12451;e.ismallkatakanahalfwidth=65384;e.issharbengali=2554;e.ist\ -roke=616;e.isuperior=63213;e.iterationhiragana=12445;e.iterationkatakana=12541;e.itilde=297;e.itildebelow=7725;e.iubopomofo=12585;e.iucyrillic=1102;e.ivowelsignbengali=2495;e.ivowelsigndeva=2367;e.ivowelsigngujarati=2751;e.izhitsacyrillic=1141;e.izhitsadblgravecyrillic=1143;e.j=106;e.jaarmenian=1393;e.jabengali=2460;e.jadeva=2332;e.jagujarati=2716;e.jagurmukhi=2588;e.jbopomofo=12560;e.jcaron=496;e.jcircle=9433;e.jcircumflex=309;e.jcrossedtail=669;e.jdotlessstroke=607;e.jecyrillic=1112;e.jeemarab\ -ic=1580;e.jeemfinalarabic=65182;e.jeeminitialarabic=65183;e.jeemmedialarabic=65184;e.jeharabic=1688;e.jehfinalarabic=64395;e.jhabengali=2461;e.jhadeva=2333;e.jhagujarati=2717;e.jhagurmukhi=2589;e.jheharmenian=1403;e.jis=12292;e.jmonospace=65354;e.jparen=9381;e.jsuperior=690;e.k=107;e.kabashkircyrillic=1185;e.kabengali=2453;e.kacute=7729;e.kacyrillic=1082;e.kadescendercyrillic=1179;e.kadeva=2325;e.kaf=1499;e.kafarabic=1603;e.kafdagesh=64315;e.kafdageshhebrew=64315;e.kaffinalarabic=65242;e.kafhebr\ -ew=1499;e.kafinitialarabic=65243;e.kafmedialarabic=65244;e.kafrafehebrew=64333;e.kagujarati=2709;e.kagurmukhi=2581;e.kahiragana=12363;e.kahookcyrillic=1220;e.kakatakana=12459;e.kakatakanahalfwidth=65398;e.kappa=954;e.kappasymbolgreek=1008;e.kapyeounmieumkorean=12657;e.kapyeounphieuphkorean=12676;e.kapyeounpieupkorean=12664;e.kapyeounssangpieupkorean=12665;e.karoriisquare=13069;e.kashidaautoarabic=1600;e.kashidaautonosidebearingarabic=1600;e.kasmallkatakana=12533;e.kasquare=13188;e.kasraarabic=16\ -16;e.kasratanarabic=1613;e.kastrokecyrillic=1183;e.katahiraprolongmarkhalfwidth=65392;e.kaverticalstrokecyrillic=1181;e.kbopomofo=12558;e.kcalsquare=13193;e.kcaron=489;e.kcedilla=311;e.kcircle=9434;e.kcommaaccent=311;e.kdotbelow=7731;e.keharmenian=1412;e.kehiragana=12369;e.kekatakana=12465;e.kekatakanahalfwidth=65401;e.kenarmenian=1391;e.kesmallkatakana=12534;e.kgreenlandic=312;e.khabengali=2454;e.khacyrillic=1093;e.khadeva=2326;e.khagujarati=2710;e.khagurmukhi=2582;e.khaharabic=1582;e.khahfinal\ -arabic=65190;e.khahinitialarabic=65191;e.khahmedialarabic=65192;e.kheicoptic=999;e.khhadeva=2393;e.khhagurmukhi=2649;e.khieukhacirclekorean=12920;e.khieukhaparenkorean=12824;e.khieukhcirclekorean=12906;e.khieukhkorean=12619;e.khieukhparenkorean=12810;e.khokhaithai=3586;e.khokhonthai=3589;e.khokhuatthai=3587;e.khokhwaithai=3588;e.khomutthai=3675;e.khook=409;e.khorakhangthai=3590;e.khzsquare=13201;e.kihiragana=12365;e.kikatakana=12461;e.kikatakanahalfwidth=65399;e.kiroguramusquare=13077;e.kiromeet\ -orusquare=13078;e.kirosquare=13076;e.kiyeokacirclekorean=12910;e.kiyeokaparenkorean=12814;e.kiyeokcirclekorean=12896;e.kiyeokkorean=12593;e.kiyeokparenkorean=12800;e.kiyeoksioskorean=12595;e.kjecyrillic=1116;e.klinebelow=7733;e.klsquare=13208;e.kmcubedsquare=13222;e.kmonospace=65355;e.kmsquaredsquare=13218;e.kohiragana=12371;e.kohmsquare=13248;e.kokaithai=3585;e.kokatakana=12467;e.kokatakanahalfwidth=65402;e.kooposquare=13086;e.koppacyrillic=1153;e.koreanstandardsymbol=12927;e.koroniscmb=835;e.k\ -paren=9382;e.kpasquare=13226;e.ksicyrillic=1135;e.ktsquare=13263;e.kturned=670;e.kuhiragana=12367;e.kukatakana=12463;e.kukatakanahalfwidth=65400;e.kvsquare=13240;e.kwsquare=13246;e.l=108;e.labengali=2482;e.lacute=314;e.ladeva=2354;e.lagujarati=2738;e.lagurmukhi=2610;e.lakkhangyaothai=3653;e.lamaleffinalarabic=65276;e.lamalefhamzaabovefinalarabic=65272;e.lamalefhamzaaboveisolatedarabic=65271;e.lamalefhamzabelowfinalarabic=65274;e.lamalefhamzabelowisolatedarabic=65273;e.lamalefisolatedarabic=65275\ -;e.lamalefmaddaabovefinalarabic=65270;e.lamalefmaddaaboveisolatedarabic=65269;e.lamarabic=1604;e.lambda=955;e.lambdastroke=411;e.lamed=1500;e.lameddagesh=64316;e.lameddageshhebrew=64316;e.lamedhebrew=1500;e.lamfinalarabic=65246;e.lamhahinitialarabic=64714;e.laminitialarabic=65247;e.lamjeeminitialarabic=64713;e.lamkhahinitialarabic=64715;e.lamlamhehisolatedarabic=65010;e.lammedialarabic=65248;e.lammeemhahinitialarabic=64904;e.lammeeminitialarabic=64716;e.largecircle=9711;e.lbar=410;e.lbelt=620;e.\ -lbopomofo=12556;e.lcaron=318;e.lcedilla=316;e.lcircle=9435;e.lcircumflexbelow=7741;e.lcommaaccent=316;e.ldot=320;e.ldotaccent=320;e.ldotbelow=7735;e.ldotbelowmacron=7737;e.leftangleabovecmb=794;e.lefttackbelowcmb=792;e.less=60;e.lessequal=8804;e.lessequalorgreater=8922;e.lessmonospace=65308;e.lessorequivalent=8818;e.lessorgreater=8822;e.lessoverequal=8806;e.lesssmall=65124;e.lezh=622;e.lfblock=9612;e.lhookretroflex=621;e.lira=8356;e.liwnarmenian=1388;e.lj=457;e.ljecyrillic=1113;e.ll=63168;e.llad\ -eva=2355;e.llagujarati=2739;e.llinebelow=7739;e.llladeva=2356;e.llvocalicbengali=2529;e.llvocalicdeva=2401;e.llvocalicvowelsignbengali=2531;e.llvocalicvowelsigndeva=2403;e.lmiddletilde=619;e.lmonospace=65356;e.lmsquare=13264;e.lochulathai=3628;e.logicaland=8743;e.logicalnot=172;e.logicalnotreversed=8976;e.logicalor=8744;e.lolingthai=3621;e.longs=383;e.lowlinecenterline=65102;e.lowlinecmb=818;e.lowlinedashed=65101;e.lozenge=9674;e.lparen=9383;e.lslash=322;e.lsquare=8467;e.lsuperior=63214;e.ltshad\ -e=9617;e.luthai=3622;e.lvocalicbengali=2444;e.lvocalicdeva=2316;e.lvocalicvowelsignbengali=2530;e.lvocalicvowelsigndeva=2402;e.lxsquare=13267;e.m=109;e.mabengali=2478;e.macron=175;e.macronbelowcmb=817;e.macroncmb=772;e.macronlowmod=717;e.macronmonospace=65507;e.macute=7743;e.madeva=2350;e.magujarati=2734;e.magurmukhi=2606;e.mahapakhhebrew=1444;e.mahapakhlefthebrew=1444;e.mahiragana=12414;e.maichattawalowleftthai=63637;e.maichattawalowrightthai=63636;e.maichattawathai=3659;e.maichattawaupperleftt\ -hai=63635;e.maieklowleftthai=63628;e.maieklowrightthai=63627;e.maiekthai=3656;e.maiekupperleftthai=63626;e.maihanakatleftthai=63620;e.maihanakatthai=3633;e.maitaikhuleftthai=63625;e.maitaikhuthai=3655;e.maitholowleftthai=63631;e.maitholowrightthai=63630;e.maithothai=3657;e.maithoupperleftthai=63629;e.maitrilowleftthai=63634;e.maitrilowrightthai=63633;e.maitrithai=3658;e.maitriupperleftthai=63632;e.maiyamokthai=3654;e.makatakana=12510;e.makatakanahalfwidth=65423;e.male=9794;e.mansyonsquare=13127;\ -e.maqafhebrew=1470;e.mars=9794;e.masoracirclehebrew=1455;e.masquare=13187;e.mbopomofo=12551;e.mbsquare=13268;e.mcircle=9436;e.mcubedsquare=13221;e.mdotaccent=7745;e.mdotbelow=7747;e.meemarabic=1605;e.meemfinalarabic=65250;e.meeminitialarabic=65251;e.meemmedialarabic=65252;e.meemmeeminitialarabic=64721;e.meemmeemisolatedarabic=64584;e.meetorusquare=13133;e.mehiragana=12417;e.meizierasquare=13182;e.mekatakana=12513;e.mekatakanahalfwidth=65426;e.mem=1502;e.memdagesh=64318;e.memdageshhebrew=64318;e.\ -memhebrew=1502;e.menarmenian=1396;e.merkhahebrew=1445;e.merkhakefulahebrew=1446;e.merkhakefulalefthebrew=1446;e.merkhalefthebrew=1445;e.mhook=625;e.mhzsquare=13202;e.middledotkatakanahalfwidth=65381;e.middot=183;e.mieumacirclekorean=12914;e.mieumaparenkorean=12818;e.mieumcirclekorean=12900;e.mieumkorean=12609;e.mieumpansioskorean=12656;e.mieumparenkorean=12804;e.mieumpieupkorean=12654;e.mieumsioskorean=12655;e.mihiragana=12415;e.mikatakana=12511;e.mikatakanahalfwidth=65424;e.minus=8722;e.minusbe\ -lowcmb=800;e.minuscircle=8854;e.minusmod=727;e.minusplus=8723;e.minute=8242;e.miribaarusquare=13130;e.mirisquare=13129;e.mlonglegturned=624;e.mlsquare=13206;e.mmcubedsquare=13219;e.mmonospace=65357;e.mmsquaredsquare=13215;e.mohiragana=12418;e.mohmsquare=13249;e.mokatakana=12514;e.mokatakanahalfwidth=65427;e.molsquare=13270;e.momathai=3617;e.moverssquare=13223;e.moverssquaredsquare=13224;e.mparen=9384;e.mpasquare=13227;e.mssquare=13235;e.msuperior=63215;e.mturned=623;e.mu=181;e.mu1=181;e.muasquar\ -e=13186;e.muchgreater=8811;e.muchless=8810;e.mufsquare=13196;e.mugreek=956;e.mugsquare=13197;e.muhiragana=12416;e.mukatakana=12512;e.mukatakanahalfwidth=65425;e.mulsquare=13205;e.multiply=215;e.mumsquare=13211;e.munahhebrew=1443;e.munahlefthebrew=1443;e.musicalnote=9834;e.musicalnotedbl=9835;e.musicflatsign=9837;e.musicsharpsign=9839;e.mussquare=13234;e.muvsquare=13238;e.muwsquare=13244;e.mvmegasquare=13241;e.mvsquare=13239;e.mwmegasquare=13247;e.mwsquare=13245;e.n=110;e.nabengali=2472;e.nabla=8\ -711;e.nacute=324;e.nadeva=2344;e.nagujarati=2728;e.nagurmukhi=2600;e.nahiragana=12394;e.nakatakana=12490;e.nakatakanahalfwidth=65413;e.napostrophe=329;e.nasquare=13185;e.nbopomofo=12555;e.nbspace=160;e.ncaron=328;e.ncedilla=326;e.ncircle=9437;e.ncircumflexbelow=7755;e.ncommaaccent=326;e.ndotaccent=7749;e.ndotbelow=7751;e.nehiragana=12397;e.nekatakana=12493;e.nekatakanahalfwidth=65416;e.newsheqelsign=8362;e.nfsquare=13195;e.ngabengali=2457;e.ngadeva=2329;e.ngagujarati=2713;e.ngagurmukhi=2585;e.ng\ -onguthai=3591;e.nhiragana=12435;e.nhookleft=626;e.nhookretroflex=627;e.nieunacirclekorean=12911;e.nieunaparenkorean=12815;e.nieuncieuckorean=12597;e.nieuncirclekorean=12897;e.nieunhieuhkorean=12598;e.nieunkorean=12596;e.nieunpansioskorean=12648;e.nieunparenkorean=12801;e.nieunsioskorean=12647;e.nieuntikeutkorean=12646;e.nihiragana=12395;e.nikatakana=12491;e.nikatakanahalfwidth=65414;e.nikhahitleftthai=63641;e.nikhahitthai=3661;e.nine=57;e.ninearabic=1641;e.ninebengali=2543;e.ninecircle=9320;e.ni\ -necircleinversesansserif=10130;e.ninedeva=2415;e.ninegujarati=2799;e.ninegurmukhi=2671;e.ninehackarabic=1641;e.ninehangzhou=12329;e.nineideographicparen=12840;e.nineinferior=8329;e.ninemonospace=65305;e.nineoldstyle=63289;e.nineparen=9340;e.nineperiod=9360;e.ninepersian=1785;e.nineroman=8568;e.ninesuperior=8313;e.nineteencircle=9330;e.nineteenparen=9350;e.nineteenperiod=9370;e.ninethai=3673;e.nj=460;e.njecyrillic=1114;e.nkatakana=12531;e.nkatakanahalfwidth=65437;e.nlegrightlong=414;e.nlinebelow=\ -7753;e.nmonospace=65358;e.nmsquare=13210;e.nnabengali=2467;e.nnadeva=2339;e.nnagujarati=2723;e.nnagurmukhi=2595;e.nnnadeva=2345;e.nohiragana=12398;e.nokatakana=12494;e.nokatakanahalfwidth=65417;e.nonbreakingspace=160;e.nonenthai=3603;e.nonuthai=3609;e.noonarabic=1606;e.noonfinalarabic=65254;e.noonghunnaarabic=1722;e.noonghunnafinalarabic=64415;e.nooninitialarabic=65255;e.noonjeeminitialarabic=64722;e.noonjeemisolatedarabic=64587;e.noonmedialarabic=65256;e.noonmeeminitialarabic=64725;e.noonmeemis\ -olatedarabic=64590;e.noonnoonfinalarabic=64653;e.notcontains=8716;e.notelement=8713;e.notelementof=8713;e.notequal=8800;e.notgreater=8815;e.notgreaternorequal=8817;e.notgreaternorless=8825;e.notidentical=8802;e.notless=8814;e.notlessnorequal=8816;e.notparallel=8742;e.notprecedes=8832;e.notsubset=8836;e.notsucceeds=8833;e.notsuperset=8837;e.nowarmenian=1398;e.nparen=9385;e.nssquare=13233;e.nsuperior=8319;e.ntilde=241;e.nu=957;e.nuhiragana=12396;e.nukatakana=12492;e.nukatakanahalfwidth=65415;e.nuk\ -tabengali=2492;e.nuktadeva=2364;e.nuktagujarati=2748;e.nuktagurmukhi=2620;e.numbersign=35;e.numbersignmonospace=65283;e.numbersignsmall=65119;e.numeralsigngreek=884;e.numeralsignlowergreek=885;e.numero=8470;e.nun=1504;e.nundagesh=64320;e.nundageshhebrew=64320;e.nunhebrew=1504;e.nvsquare=13237;e.nwsquare=13243;e.nyabengali=2462;e.nyadeva=2334;e.nyagujarati=2718;e.nyagurmukhi=2590;e.o=111;e.oacute=243;e.oangthai=3629;e.obarred=629;e.obarredcyrillic=1257;e.obarreddieresiscyrillic=1259;e.obengali=24\ -51;e.obopomofo=12571;e.obreve=335;e.ocandradeva=2321;e.ocandragujarati=2705;e.ocandravowelsigndeva=2377;e.ocandravowelsigngujarati=2761;e.ocaron=466;e.ocircle=9438;e.ocircumflex=244;e.ocircumflexacute=7889;e.ocircumflexdotbelow=7897;e.ocircumflexgrave=7891;e.ocircumflexhookabove=7893;e.ocircumflextilde=7895;e.ocyrillic=1086;e.odblacute=337;e.odblgrave=525;e.odeva=2323;e.odieresis=246;e.odieresiscyrillic=1255;e.odotbelow=7885;e.oe=339;e.oekorean=12634;e.ogonek=731;e.ogonekcmb=808;e.ograve=242;e.o\ -gujarati=2707;e.oharmenian=1413;e.ohiragana=12362;e.ohookabove=7887;e.ohorn=417;e.ohornacute=7899;e.ohorndotbelow=7907;e.ohorngrave=7901;e.ohornhookabove=7903;e.ohorntilde=7905;e.ohungarumlaut=337;e.oi=419;e.oinvertedbreve=527;e.okatakana=12458;e.okatakanahalfwidth=65397;e.okorean=12631;e.olehebrew=1451;e.omacron=333;e.omacronacute=7763;e.omacrongrave=7761;e.omdeva=2384;e.omega=969;e.omega1=982;e.omegacyrillic=1121;e.omegalatinclosed=631;e.omegaroundcyrillic=1147;e.omegatitlocyrillic=1149;e.omeg\ -atonos=974;e.omgujarati=2768;e.omicron=959;e.omicrontonos=972;e.omonospace=65359;e.one=49;e.onearabic=1633;e.onebengali=2535;e.onecircle=9312;e.onecircleinversesansserif=10122;e.onedeva=2407;e.onedotenleader=8228;e.oneeighth=8539;e.onefitted=63196;e.onegujarati=2791;e.onegurmukhi=2663;e.onehackarabic=1633;e.onehalf=189;e.onehangzhou=12321;e.oneideographicparen=12832;e.oneinferior=8321;e.onemonospace=65297;e.onenumeratorbengali=2548;e.oneoldstyle=63281;e.oneparen=9332;e.oneperiod=9352;e.onepersia\ -n=1777;e.onequarter=188;e.oneroman=8560;e.onesuperior=185;e.onethai=3665;e.onethird=8531;e.oogonek=491;e.oogonekmacron=493;e.oogurmukhi=2579;e.oomatragurmukhi=2635;e.oopen=596;e.oparen=9386;e.openbullet=9702;e.option=8997;e.ordfeminine=170;e.ordmasculine=186;e.orthogonal=8735;e.oshortdeva=2322;e.oshortvowelsigndeva=2378;e.oslash=248;e.oslashacute=511;e.osmallhiragana=12361;e.osmallkatakana=12457;e.osmallkatakanahalfwidth=65387;e.ostrokeacute=511;e.osuperior=63216;e.otcyrillic=1151;e.otilde=245;e\ -.otildeacute=7757;e.otildedieresis=7759;e.oubopomofo=12577;e.overline=8254;e.overlinecenterline=65098;e.overlinecmb=773;e.overlinedashed=65097;e.overlinedblwavy=65100;e.overlinewavy=65099;e.overscore=175;e.ovowelsignbengali=2507;e.ovowelsigndeva=2379;e.ovowelsigngujarati=2763;e.p=112;e.paampssquare=13184;e.paasentosquare=13099;e.pabengali=2474;e.pacute=7765;e.padeva=2346;e.pagedown=8671;e.pageup=8670;e.pagujarati=2730;e.pagurmukhi=2602;e.pahiragana=12401;e.paiyannoithai=3631;e.pakatakana=12497;e\ -.palatalizationcyrilliccmb=1156;e.palochkacyrillic=1216;e.pansioskorean=12671;e.paragraph=182;e.parallel=8741;e.parenleft=40;e.parenleftaltonearabic=64830;e.parenleftbt=63725;e.parenleftex=63724;e.parenleftinferior=8333;e.parenleftmonospace=65288;e.parenleftsmall=65113;e.parenleftsuperior=8317;e.parenlefttp=63723;e.parenleftvertical=65077;e.parenright=41;e.parenrightaltonearabic=64831;e.parenrightbt=63736;e.parenrightex=63735;e.parenrightinferior=8334;e.parenrightmonospace=65289;e.parenrightsmal\ -l=65114;e.parenrightsuperior=8318;e.parenrighttp=63734;e.parenrightvertical=65078;e.partialdiff=8706;e.paseqhebrew=1472;e.pashtahebrew=1433;e.pasquare=13225;e.patah=1463;e.patah11=1463;e.patah1d=1463;e.patah2a=1463;e.patahhebrew=1463;e.patahnarrowhebrew=1463;e.patahquarterhebrew=1463;e.patahwidehebrew=1463;e.pazerhebrew=1441;e.pbopomofo=12550;e.pcircle=9439;e.pdotaccent=7767;e.pe=1508;e.pecyrillic=1087;e.pedagesh=64324;e.pedageshhebrew=64324;e.peezisquare=13115;e.pefinaldageshhebrew=64323;e.peha\ -rabic=1662;e.peharmenian=1402;e.pehebrew=1508;e.pehfinalarabic=64343;e.pehinitialarabic=64344;e.pehiragana=12410;e.pehmedialarabic=64345;e.pekatakana=12506;e.pemiddlehookcyrillic=1191;e.perafehebrew=64334;e.percent=37;e.percentarabic=1642;e.percentmonospace=65285;e.percentsmall=65130;e.period=46;e.periodarmenian=1417;e.periodcentered=183;e.periodhalfwidth=65377;e.periodinferior=63207;e.periodmonospace=65294;e.periodsmall=65106;e.periodsuperior=63208;e.perispomenigreekcmb=834;e.perpendicular=8869\ -;e.perthousand=8240;e.peseta=8359;e.pfsquare=13194;e.phabengali=2475;e.phadeva=2347;e.phagujarati=2731;e.phagurmukhi=2603;e.phi=966;e.phi1=981;e.phieuphacirclekorean=12922;e.phieuphaparenkorean=12826;e.phieuphcirclekorean=12908;e.phieuphkorean=12621;e.phieuphparenkorean=12812;e.philatin=632;e.phinthuthai=3642;e.phisymbolgreek=981;e.phook=421;e.phophanthai=3614;e.phophungthai=3612;e.phosamphaothai=3616;e.pi=960;e.pieupacirclekorean=12915;e.pieupaparenkorean=12819;e.pieupcieuckorean=12662;e.pieupc\ -irclekorean=12901;e.pieupkiyeokkorean=12658;e.pieupkorean=12610;e.pieupparenkorean=12805;e.pieupsioskiyeokkorean=12660;e.pieupsioskorean=12612;e.pieupsiostikeutkorean=12661;e.pieupthieuthkorean=12663;e.pieuptikeutkorean=12659;e.pihiragana=12404;e.pikatakana=12500;e.pisymbolgreek=982;e.piwrarmenian=1411;e.planckover2pi=8463;e.planckover2pi1=8463;e.plus=43;e.plusbelowcmb=799;e.pluscircle=8853;e.plusminus=177;e.plusmod=726;e.plusmonospace=65291;e.plussmall=65122;e.plussuperior=8314;e.pmonospace=653\ -60;e.pmsquare=13272;e.pohiragana=12413;e.pointingindexdownwhite=9759;e.pointingindexleftwhite=9756;e.pointingindexrightwhite=9758;e.pointingindexupwhite=9757;e.pokatakana=12509;e.poplathai=3611;e.postalmark=12306;e.postalmarkface=12320;e.pparen=9387;e.precedes=8826;e.prescription=8478;e.primemod=697;e.primereversed=8245;e.product=8719;e.projective=8965;e.prolongedkana=12540;e.propellor=8984;e.propersubset=8834;e.propersuperset=8835;e.proportion=8759;e.proportional=8733;e.psi=968;e.psicyrillic=11\ -37;e.psilipneumatacyrilliccmb=1158;e.pssquare=13232;e.puhiragana=12407;e.pukatakana=12503;e.pvsquare=13236;e.pwsquare=13242;e.q=113;e.qadeva=2392;e.qadmahebrew=1448;e.qafarabic=1602;e.qaffinalarabic=65238;e.qafinitialarabic=65239;e.qafmedialarabic=65240;e.qamats=1464;e.qamats10=1464;e.qamats1a=1464;e.qamats1c=1464;e.qamats27=1464;e.qamats29=1464;e.qamats33=1464;e.qamatsde=1464;e.qamatshebrew=1464;e.qamatsnarrowhebrew=1464;e.qamatsqatanhebrew=1464;e.qamatsqatannarrowhebrew=1464;e.qamatsqatanquart\ -erhebrew=1464;e.qamatsqatanwidehebrew=1464;e.qamatsquarterhebrew=1464;e.qamatswidehebrew=1464;e.qarneyparahebrew=1439;e.qbopomofo=12561;e.qcircle=9440;e.qhook=672;e.qmonospace=65361;e.qof=1511;e.qofdagesh=64327;e.qofdageshhebrew=64327;e.qofhebrew=1511;e.qparen=9388;e.quarternote=9833;e.qubuts=1467;e.qubuts18=1467;e.qubuts25=1467;e.qubuts31=1467;e.qubutshebrew=1467;e.qubutsnarrowhebrew=1467;e.qubutsquarterhebrew=1467;e.qubutswidehebrew=1467;e.question=63;e.questionarabic=1567;e.questionarmenian=1\ -374;e.questiondown=191;e.questiondownsmall=63423;e.questiongreek=894;e.questionmonospace=65311;e.questionsmall=63295;e.quotedbl=34;e.quotedblbase=8222;e.quotedblleft=8220;e.quotedblmonospace=65282;e.quotedblprime=12318;e.quotedblprimereversed=12317;e.quotedblright=8221;e.quoteleft=8216;e.quoteleftreversed=8219;e.quotereversed=8219;e.quoteright=8217;e.quoterightn=329;e.quotesinglbase=8218;e.quotesingle=39;e.quotesinglemonospace=65287;e.r=114;e.raarmenian=1404;e.rabengali=2480;e.racute=341;e.radev\ -a=2352;e.radical=8730;e.radicalex=63717;e.radoverssquare=13230;e.radoverssquaredsquare=13231;e.radsquare=13229;e.rafe=1471;e.rafehebrew=1471;e.ragujarati=2736;e.ragurmukhi=2608;e.rahiragana=12425;e.rakatakana=12521;e.rakatakanahalfwidth=65431;e.ralowerdiagonalbengali=2545;e.ramiddlediagonalbengali=2544;e.ramshorn=612;e.ratio=8758;e.rbopomofo=12566;e.rcaron=345;e.rcedilla=343;e.rcircle=9441;e.rcommaaccent=343;e.rdblgrave=529;e.rdotaccent=7769;e.rdotbelow=7771;e.rdotbelowmacron=7773;e.referencemar\ -k=8251;e.reflexsubset=8838;e.reflexsuperset=8839;e.registered=174;e.registersans=63720;e.registerserif=63194;e.reharabic=1585;e.reharmenian=1408;e.rehfinalarabic=65198;e.rehiragana=12428;e.rekatakana=12524;e.rekatakanahalfwidth=65434;e.resh=1512;e.reshdageshhebrew=64328;e.reshhebrew=1512;e.reversedtilde=8765;e.reviahebrew=1431;e.reviamugrashhebrew=1431;e.revlogicalnot=8976;e.rfishhook=638;e.rfishhookreversed=639;e.rhabengali=2525;e.rhadeva=2397;e.rho=961;e.rhook=637;e.rhookturned=635;e.rhookturn\ -edsuperior=693;e.rhosymbolgreek=1009;e.rhotichookmod=734;e.rieulacirclekorean=12913;e.rieulaparenkorean=12817;e.rieulcirclekorean=12899;e.rieulhieuhkorean=12608;e.rieulkiyeokkorean=12602;e.rieulkiyeoksioskorean=12649;e.rieulkorean=12601;e.rieulmieumkorean=12603;e.rieulpansioskorean=12652;e.rieulparenkorean=12803;e.rieulphieuphkorean=12607;e.rieulpieupkorean=12604;e.rieulpieupsioskorean=12651;e.rieulsioskorean=12605;e.rieulthieuthkorean=12606;e.rieultikeutkorean=12650;e.rieulyeorinhieuhkorean=126\ -53;e.rightangle=8735;e.righttackbelowcmb=793;e.righttriangle=8895;e.rihiragana=12426;e.rikatakana=12522;e.rikatakanahalfwidth=65432;e.ring=730;e.ringbelowcmb=805;e.ringcmb=778;e.ringhalfleft=703;e.ringhalfleftarmenian=1369;e.ringhalfleftbelowcmb=796;e.ringhalfleftcentered=723;e.ringhalfright=702;e.ringhalfrightbelowcmb=825;e.ringhalfrightcentered=722;e.rinvertedbreve=531;e.rittorusquare=13137;e.rlinebelow=7775;e.rlongleg=636;e.rlonglegturned=634;e.rmonospace=65362;e.rohiragana=12429;e.rokatakana\ -=12525;e.rokatakanahalfwidth=65435;e.roruathai=3619;e.rparen=9389;e.rrabengali=2524;e.rradeva=2353;e.rragurmukhi=2652;e.rreharabic=1681;e.rrehfinalarabic=64397;e.rrvocalicbengali=2528;e.rrvocalicdeva=2400;e.rrvocalicgujarati=2784;e.rrvocalicvowelsignbengali=2500;e.rrvocalicvowelsigndeva=2372;e.rrvocalicvowelsigngujarati=2756;e.rsuperior=63217;e.rtblock=9616;e.rturned=633;e.rturnedsuperior=692;e.ruhiragana=12427;e.rukatakana=12523;e.rukatakanahalfwidth=65433;e.rupeemarkbengali=2546;e.rupeesignben\ -gali=2547;e.rupiah=63197;e.ruthai=3620;e.rvocalicbengali=2443;e.rvocalicdeva=2315;e.rvocalicgujarati=2699;e.rvocalicvowelsignbengali=2499;e.rvocalicvowelsigndeva=2371;e.rvocalicvowelsigngujarati=2755;e.s=115;e.sabengali=2488;e.sacute=347;e.sacutedotaccent=7781;e.sadarabic=1589;e.sadeva=2360;e.sadfinalarabic=65210;e.sadinitialarabic=65211;e.sadmedialarabic=65212;e.sagujarati=2744;e.sagurmukhi=2616;e.sahiragana=12373;e.sakatakana=12469;e.sakatakanahalfwidth=65403;e.sallallahoualayhewasallamarabic=\ -65018;e.samekh=1505;e.samekhdagesh=64321;e.samekhdageshhebrew=64321;e.samekhhebrew=1505;e.saraaathai=3634;e.saraaethai=3649;e.saraaimaimalaithai=3652;e.saraaimaimuanthai=3651;e.saraamthai=3635;e.saraathai=3632;e.saraethai=3648;e.saraiileftthai=63622;e.saraiithai=3637;e.saraileftthai=63621;e.saraithai=3636;e.saraothai=3650;e.saraueeleftthai=63624;e.saraueethai=3639;e.saraueleftthai=63623;e.sarauethai=3638;e.sarauthai=3640;e.sarauuthai=3641;e.sbopomofo=12569;e.scaron=353;e.scarondotaccent=7783;e.s\ -cedilla=351;e.schwa=601;e.schwacyrillic=1241;e.schwadieresiscyrillic=1243;e.schwahook=602;e.scircle=9442;e.scircumflex=349;e.scommaaccent=537;e.sdotaccent=7777;e.sdotbelow=7779;e.sdotbelowdotaccent=7785;e.seagullbelowcmb=828;e.second=8243;e.secondtonechinese=714;e.section=167;e.seenarabic=1587;e.seenfinalarabic=65202;e.seeninitialarabic=65203;e.seenmedialarabic=65204;e.segol=1462;e.segol13=1462;e.segol1f=1462;e.segol2c=1462;e.segolhebrew=1462;e.segolnarrowhebrew=1462;e.segolquarterhebrew=1462;e.\ -segoltahebrew=1426;e.segolwidehebrew=1462;e.seharmenian=1405;e.sehiragana=12379;e.sekatakana=12475;e.sekatakanahalfwidth=65406;e.semicolon=59;e.semicolonarabic=1563;e.semicolonmonospace=65307;e.semicolonsmall=65108;e.semivoicedmarkkana=12444;e.semivoicedmarkkanahalfwidth=65439;e.sentisquare=13090;e.sentosquare=13091;e.seven=55;e.sevenarabic=1639;e.sevenbengali=2541;e.sevencircle=9318;e.sevencircleinversesansserif=10128;e.sevendeva=2413;e.seveneighths=8542;e.sevengujarati=2797;e.sevengurmukhi=266\ -9;e.sevenhackarabic=1639;e.sevenhangzhou=12327;e.sevenideographicparen=12838;e.seveninferior=8327;e.sevenmonospace=65303;e.sevenoldstyle=63287;e.sevenparen=9338;e.sevenperiod=9358;e.sevenpersian=1783;e.sevenroman=8566;e.sevensuperior=8311;e.seventeencircle=9328;e.seventeenparen=9348;e.seventeenperiod=9368;e.seventhai=3671;e.sfthyphen=173;e.shaarmenian=1399;e.shabengali=2486;e.shacyrillic=1096;e.shaddaarabic=1617;e.shaddadammaarabic=64609;e.shaddadammatanarabic=64606;e.shaddafathaarabic=64608;e.s\ -haddakasraarabic=64610;e.shaddakasratanarabic=64607;e.shade=9618;e.shadedark=9619;e.shadelight=9617;e.shademedium=9618;e.shadeva=2358;e.shagujarati=2742;e.shagurmukhi=2614;e.shalshelethebrew=1427;e.shbopomofo=12565;e.shchacyrillic=1097;e.sheenarabic=1588;e.sheenfinalarabic=65206;e.sheeninitialarabic=65207;e.sheenmedialarabic=65208;e.sheicoptic=995;e.sheqel=8362;e.sheqelhebrew=8362;e.sheva=1456;e.sheva115=1456;e.sheva15=1456;e.sheva22=1456;e.sheva2e=1456;e.shevahebrew=1456;e.shevanarrowhebrew=145\ -6;e.shevaquarterhebrew=1456;e.shevawidehebrew=1456;e.shhacyrillic=1211;e.shimacoptic=1005;e.shin=1513;e.shindagesh=64329;e.shindageshhebrew=64329;e.shindageshshindot=64300;e.shindageshshindothebrew=64300;e.shindageshsindot=64301;e.shindageshsindothebrew=64301;e.shindothebrew=1473;e.shinhebrew=1513;e.shinshindot=64298;e.shinshindothebrew=64298;e.shinsindot=64299;e.shinsindothebrew=64299;e.shook=642;e.sigma=963;e.sigma1=962;e.sigmafinal=962;e.sigmalunatesymbolgreek=1010;e.sihiragana=12375;e.sikata\ -kana=12471;e.sikatakanahalfwidth=65404;e.siluqhebrew=1469;e.siluqlefthebrew=1469;e.similar=8764;e.sindothebrew=1474;e.siosacirclekorean=12916;e.siosaparenkorean=12820;e.sioscieuckorean=12670;e.sioscirclekorean=12902;e.sioskiyeokkorean=12666;e.sioskorean=12613;e.siosnieunkorean=12667;e.siosparenkorean=12806;e.siospieupkorean=12669;e.siostikeutkorean=12668;e.six=54;e.sixarabic=1638;e.sixbengali=2540;e.sixcircle=9317;e.sixcircleinversesansserif=10127;e.sixdeva=2412;e.sixgujarati=2796;e.sixgurmukhi=\ -2668;e.sixhackarabic=1638;e.sixhangzhou=12326;e.sixideographicparen=12837;e.sixinferior=8326;e.sixmonospace=65302;e.sixoldstyle=63286;e.sixparen=9337;e.sixperiod=9357;e.sixpersian=1782;e.sixroman=8565;e.sixsuperior=8310;e.sixteencircle=9327;e.sixteencurrencydenominatorbengali=2553;e.sixteenparen=9347;e.sixteenperiod=9367;e.sixthai=3670;e.slash=47;e.slashmonospace=65295;e.slong=383;e.slongdotaccent=7835;e.smileface=9786;e.smonospace=65363;e.sofpasuqhebrew=1475;e.softhyphen=173;e.softsigncyrillic=\ -1100;e.sohiragana=12381;e.sokatakana=12477;e.sokatakanahalfwidth=65407;e.soliduslongoverlaycmb=824;e.solidusshortoverlaycmb=823;e.sorusithai=3625;e.sosalathai=3624;e.sosothai=3595;e.sosuathai=3626;e.space=32;e.spacehackarabic=32;e.spade=9824;e.spadesuitblack=9824;e.spadesuitwhite=9828;e.sparen=9390;e.squarebelowcmb=827;e.squarecc=13252;e.squarecm=13213;e.squarediagonalcrosshatchfill=9641;e.squarehorizontalfill=9636;e.squarekg=13199;e.squarekm=13214;e.squarekmcapital=13262;e.squareln=13265;e.squa\ -relog=13266;e.squaremg=13198;e.squaremil=13269;e.squaremm=13212;e.squaremsquared=13217;e.squareorthogonalcrosshatchfill=9638;e.squareupperlefttolowerrightfill=9639;e.squareupperrighttolowerleftfill=9640;e.squareverticalfill=9637;e.squarewhitewithsmallblack=9635;e.srsquare=13275;e.ssabengali=2487;e.ssadeva=2359;e.ssagujarati=2743;e.ssangcieuckorean=12617;e.ssanghieuhkorean=12677;e.ssangieungkorean=12672;e.ssangkiyeokkorean=12594;e.ssangnieunkorean=12645;e.ssangpieupkorean=12611;e.ssangsioskorean=\ -12614;e.ssangtikeutkorean=12600;e.ssuperior=63218;e.sterling=163;e.sterlingmonospace=65505;e.strokelongoverlaycmb=822;e.strokeshortoverlaycmb=821;e.subset=8834;e.subsetnotequal=8842;e.subsetorequal=8838;e.succeeds=8827;e.suchthat=8715;e.suhiragana=12377;e.sukatakana=12473;e.sukatakanahalfwidth=65405;e.sukunarabic=1618;e.summation=8721;e.sun=9788;e.superset=8835;e.supersetnotequal=8843;e.supersetorequal=8839;e.svsquare=13276;e.syouwaerasquare=13180;e.t=116;e.tabengali=2468;e.tackdown=8868;e.tackl\ -eft=8867;e.tadeva=2340;e.tagujarati=2724;e.tagurmukhi=2596;e.taharabic=1591;e.tahfinalarabic=65218;e.tahinitialarabic=65219;e.tahiragana=12383;e.tahmedialarabic=65220;e.taisyouerasquare=13181;e.takatakana=12479;e.takatakanahalfwidth=65408;e.tatweelarabic=1600;e.tau=964;e.tav=1514;e.tavdages=64330;e.tavdagesh=64330;e.tavdageshhebrew=64330;e.tavhebrew=1514;e.tbar=359;e.tbopomofo=12554;e.tcaron=357;e.tccurl=680;e.tcedilla=355;e.tcheharabic=1670;e.tchehfinalarabic=64379;e.tchehinitialarabic=64380;e.\ -tchehmedialarabic=64381;e.tcircle=9443;e.tcircumflexbelow=7793;e.tcommaaccent=355;e.tdieresis=7831;e.tdotaccent=7787;e.tdotbelow=7789;e.tecyrillic=1090;e.tedescendercyrillic=1197;e.teharabic=1578;e.tehfinalarabic=65174;e.tehhahinitialarabic=64674;e.tehhahisolatedarabic=64524;e.tehinitialarabic=65175;e.tehiragana=12390;e.tehjeeminitialarabic=64673;e.tehjeemisolatedarabic=64523;e.tehmarbutaarabic=1577;e.tehmarbutafinalarabic=65172;e.tehmedialarabic=65176;e.tehmeeminitialarabic=64676;e.tehmeemisola\ -tedarabic=64526;e.tehnoonfinalarabic=64627;e.tekatakana=12486;e.tekatakanahalfwidth=65411;e.telephone=8481;e.telephoneblack=9742;e.telishagedolahebrew=1440;e.telishaqetanahebrew=1449;e.tencircle=9321;e.tenideographicparen=12841;e.tenparen=9341;e.tenperiod=9361;e.tenroman=8569;e.tesh=679;e.tet=1496;e.tetdagesh=64312;e.tetdageshhebrew=64312;e.tethebrew=1496;e.tetsecyrillic=1205;e.tevirhebrew=1435;e.tevirlefthebrew=1435;e.thabengali=2469;e.thadeva=2341;e.thagujarati=2725;e.thagurmukhi=2597;e.thalar\ -abic=1584;e.thalfinalarabic=65196;e.thanthakhatlowleftthai=63640;e.thanthakhatlowrightthai=63639;e.thanthakhatthai=3660;e.thanthakhatupperleftthai=63638;e.theharabic=1579;e.thehfinalarabic=65178;e.thehinitialarabic=65179;e.thehmedialarabic=65180;e.thereexists=8707;e.therefore=8756;e.theta=952;e.theta1=977;e.thetasymbolgreek=977;e.thieuthacirclekorean=12921;e.thieuthaparenkorean=12825;e.thieuthcirclekorean=12907;e.thieuthkorean=12620;e.thieuthparenkorean=12811;e.thirteencircle=9324;e.thirteenpare\ -n=9344;e.thirteenperiod=9364;e.thonangmonthothai=3601;e.thook=429;e.thophuthaothai=3602;e.thorn=254;e.thothahanthai=3607;e.thothanthai=3600;e.thothongthai=3608;e.thothungthai=3606;e.thousandcyrillic=1154;e.thousandsseparatorarabic=1644;e.thousandsseparatorpersian=1644;e.three=51;e.threearabic=1635;e.threebengali=2537;e.threecircle=9314;e.threecircleinversesansserif=10124;e.threedeva=2409;e.threeeighths=8540;e.threegujarati=2793;e.threegurmukhi=2665;e.threehackarabic=1635;e.threehangzhou=12323;e.\ -threeideographicparen=12834;e.threeinferior=8323;e.threemonospace=65299;e.threenumeratorbengali=2550;e.threeoldstyle=63283;e.threeparen=9334;e.threeperiod=9354;e.threepersian=1779;e.threequarters=190;e.threequartersemdash=63198;e.threeroman=8562;e.threesuperior=179;e.threethai=3667;e.thzsquare=13204;e.tihiragana=12385;e.tikatakana=12481;e.tikatakanahalfwidth=65409;e.tikeutacirclekorean=12912;e.tikeutaparenkorean=12816;e.tikeutcirclekorean=12898;e.tikeutkorean=12599;e.tikeutparenkorean=12802;e.ti\ -lde=732;e.tildebelowcmb=816;e.tildecmb=771;e.tildecomb=771;e.tildedoublecmb=864;e.tildeoperator=8764;e.tildeoverlaycmb=820;e.tildeverticalcmb=830;e.timescircle=8855;e.tipehahebrew=1430;e.tipehalefthebrew=1430;e.tippigurmukhi=2672;e.titlocyrilliccmb=1155;e.tiwnarmenian=1407;e.tlinebelow=7791;e.tmonospace=65364;e.toarmenian=1385;e.tohiragana=12392;e.tokatakana=12488;e.tokatakanahalfwidth=65412;e.tonebarextrahighmod=741;e.tonebarextralowmod=745;e.tonebarhighmod=742;e.tonebarlowmod=744;e.tonebarmidm\ -od=743;e.tonefive=445;e.tonesix=389;e.tonetwo=424;e.tonos=900;e.tonsquare=13095;e.topatakthai=3599;e.tortoiseshellbracketleft=12308;e.tortoiseshellbracketleftsmall=65117;e.tortoiseshellbracketleftvertical=65081;e.tortoiseshellbracketright=12309;e.tortoiseshellbracketrightsmall=65118;e.tortoiseshellbracketrightvertical=65082;e.totaothai=3605;e.tpalatalhook=427;e.tparen=9391;e.trademark=8482;e.trademarksans=63722;e.trademarkserif=63195;e.tretroflexhook=648;e.triagdn=9660;e.triaglf=9668;e.triagrt=9\ -658;e.triagup=9650;e.ts=678;e.tsadi=1510;e.tsadidagesh=64326;e.tsadidageshhebrew=64326;e.tsadihebrew=1510;e.tsecyrillic=1094;e.tsere=1461;e.tsere12=1461;e.tsere1e=1461;e.tsere2b=1461;e.tserehebrew=1461;e.tserenarrowhebrew=1461;e.tserequarterhebrew=1461;e.tserewidehebrew=1461;e.tshecyrillic=1115;e.tsuperior=63219;e.ttabengali=2463;e.ttadeva=2335;e.ttagujarati=2719;e.ttagurmukhi=2591;e.tteharabic=1657;e.ttehfinalarabic=64359;e.ttehinitialarabic=64360;e.ttehmedialarabic=64361;e.tthabengali=2464;e.t\ -thadeva=2336;e.tthagujarati=2720;e.tthagurmukhi=2592;e.tturned=647;e.tuhiragana=12388;e.tukatakana=12484;e.tukatakanahalfwidth=65410;e.tusmallhiragana=12387;e.tusmallkatakana=12483;e.tusmallkatakanahalfwidth=65391;e.twelvecircle=9323;e.twelveparen=9343;e.twelveperiod=9363;e.twelveroman=8571;e.twentycircle=9331;e.twentyhangzhou=21316;e.twentyparen=9351;e.twentyperiod=9371;e.two=50;e.twoarabic=1634;e.twobengali=2536;e.twocircle=9313;e.twocircleinversesansserif=10123;e.twodeva=2408;e.twodotenleader\ -=8229;e.twodotleader=8229;e.twodotleadervertical=65072;e.twogujarati=2792;e.twogurmukhi=2664;e.twohackarabic=1634;e.twohangzhou=12322;e.twoideographicparen=12833;e.twoinferior=8322;e.twomonospace=65298;e.twonumeratorbengali=2549;e.twooldstyle=63282;e.twoparen=9333;e.twoperiod=9353;e.twopersian=1778;e.tworoman=8561;e.twostroke=443;e.twosuperior=178;e.twothai=3666;e.twothirds=8532;e.u=117;e.uacute=250;e.ubar=649;e.ubengali=2441;e.ubopomofo=12584;e.ubreve=365;e.ucaron=468;e.ucircle=9444;e.ucircumfl\ -ex=251;e.ucircumflexbelow=7799;e.ucyrillic=1091;e.udattadeva=2385;e.udblacute=369;e.udblgrave=533;e.udeva=2313;e.udieresis=252;e.udieresisacute=472;e.udieresisbelow=7795;e.udieresiscaron=474;e.udieresiscyrillic=1265;e.udieresisgrave=476;e.udieresismacron=470;e.udotbelow=7909;e.ugrave=249;e.ugujarati=2697;e.ugurmukhi=2569;e.uhiragana=12358;e.uhookabove=7911;e.uhorn=432;e.uhornacute=7913;e.uhorndotbelow=7921;e.uhorngrave=7915;e.uhornhookabove=7917;e.uhorntilde=7919;e.uhungarumlaut=369;e.uhungaruml\ -autcyrillic=1267;e.uinvertedbreve=535;e.ukatakana=12454;e.ukatakanahalfwidth=65395;e.ukcyrillic=1145;e.ukorean=12636;e.umacron=363;e.umacroncyrillic=1263;e.umacrondieresis=7803;e.umatragurmukhi=2625;e.umonospace=65365;e.underscore=95;e.underscoredbl=8215;e.underscoremonospace=65343;e.underscorevertical=65075;e.underscorewavy=65103;e.union=8746;e.universal=8704;e.uogonek=371;e.uparen=9392;e.upblock=9600;e.upperdothebrew=1476;e.upsilon=965;e.upsilondieresis=971;e.upsilondieresistonos=944;e.upsilon\ -latin=650;e.upsilontonos=973;e.uptackbelowcmb=797;e.uptackmod=724;e.uragurmukhi=2675;e.uring=367;e.ushortcyrillic=1118;e.usmallhiragana=12357;e.usmallkatakana=12453;e.usmallkatakanahalfwidth=65385;e.ustraightcyrillic=1199;e.ustraightstrokecyrillic=1201;e.utilde=361;e.utildeacute=7801;e.utildebelow=7797;e.uubengali=2442;e.uudeva=2314;e.uugujarati=2698;e.uugurmukhi=2570;e.uumatragurmukhi=2626;e.uuvowelsignbengali=2498;e.uuvowelsigndeva=2370;e.uuvowelsigngujarati=2754;e.uvowelsignbengali=2497;e.uvo\ -welsigndeva=2369;e.uvowelsigngujarati=2753;e.v=118;e.vadeva=2357;e.vagujarati=2741;e.vagurmukhi=2613;e.vakatakana=12535;e.vav=1493;e.vavdagesh=64309;e.vavdagesh65=64309;e.vavdageshhebrew=64309;e.vavhebrew=1493;e.vavholam=64331;e.vavholamhebrew=64331;e.vavvavhebrew=1520;e.vavyodhebrew=1521;e.vcircle=9445;e.vdotbelow=7807;e.vecyrillic=1074;e.veharabic=1700;e.vehfinalarabic=64363;e.vehinitialarabic=64364;e.vehmedialarabic=64365;e.vekatakana=12537;e.venus=9792;e.verticalbar=124;e.verticallineabovecm\ -b=781;e.verticallinebelowcmb=809;e.verticallinelowmod=716;e.verticallinemod=712;e.vewarmenian=1406;e.vhook=651;e.vikatakana=12536;e.viramabengali=2509;e.viramadeva=2381;e.viramagujarati=2765;e.visargabengali=2435;e.visargadeva=2307;e.visargagujarati=2691;e.vmonospace=65366;e.voarmenian=1400;e.voicediterationhiragana=12446;e.voicediterationkatakana=12542;e.voicedmarkkana=12443;e.voicedmarkkanahalfwidth=65438;e.vokatakana=12538;e.vparen=9393;e.vtilde=7805;e.vturned=652;e.vuhiragana=12436;e.vukatak\ -ana=12532;e.w=119;e.wacute=7811;e.waekorean=12633;e.wahiragana=12431;e.wakatakana=12527;e.wakatakanahalfwidth=65436;e.wakorean=12632;e.wasmallhiragana=12430;e.wasmallkatakana=12526;e.wattosquare=13143;e.wavedash=12316;e.wavyunderscorevertical=65076;e.wawarabic=1608;e.wawfinalarabic=65262;e.wawhamzaabovearabic=1572;e.wawhamzaabovefinalarabic=65158;e.wbsquare=13277;e.wcircle=9446;e.wcircumflex=373;e.wdieresis=7813;e.wdotaccent=7815;e.wdotbelow=7817;e.wehiragana=12433;e.weierstrass=8472;e.wekatakan\ -a=12529;e.wekorean=12638;e.weokorean=12637;e.wgrave=7809;e.whitebullet=9702;e.whitecircle=9675;e.whitecircleinverse=9689;e.whitecornerbracketleft=12302;e.whitecornerbracketleftvertical=65091;e.whitecornerbracketright=12303;e.whitecornerbracketrightvertical=65092;e.whitediamond=9671;e.whitediamondcontainingblacksmalldiamond=9672;e.whitedownpointingsmalltriangle=9663;e.whitedownpointingtriangle=9661;e.whiteleftpointingsmalltriangle=9667;e.whiteleftpointingtriangle=9665;e.whitelenticularbracketleft\ -=12310;e.whitelenticularbracketright=12311;e.whiterightpointingsmalltriangle=9657;e.whiterightpointingtriangle=9655;e.whitesmallsquare=9643;e.whitesmilingface=9786;e.whitesquare=9633;e.whitestar=9734;e.whitetelephone=9743;e.whitetortoiseshellbracketleft=12312;e.whitetortoiseshellbracketright=12313;e.whiteuppointingsmalltriangle=9653;e.whiteuppointingtriangle=9651;e.wihiragana=12432;e.wikatakana=12528;e.wikorean=12639;e.wmonospace=65367;e.wohiragana=12434;e.wokatakana=12530;e.wokatakanahalfwidth=\ -65382;e.won=8361;e.wonmonospace=65510;e.wowaenthai=3623;e.wparen=9394;e.wring=7832;e.wsuperior=695;e.wturned=653;e.wynn=447;e.x=120;e.xabovecmb=829;e.xbopomofo=12562;e.xcircle=9447;e.xdieresis=7821;e.xdotaccent=7819;e.xeharmenian=1389;e.xi=958;e.xmonospace=65368;e.xparen=9395;e.xsuperior=739;e.y=121;e.yaadosquare=13134;e.yabengali=2479;e.yacute=253;e.yadeva=2351;e.yaekorean=12626;e.yagujarati=2735;e.yagurmukhi=2607;e.yahiragana=12420;e.yakatakana=12516;e.yakatakanahalfwidth=65428;e.yakorean=1262\ -5;e.yamakkanthai=3662;e.yasmallhiragana=12419;e.yasmallkatakana=12515;e.yasmallkatakanahalfwidth=65388;e.yatcyrillic=1123;e.ycircle=9448;e.ycircumflex=375;e.ydieresis=255;e.ydotaccent=7823;e.ydotbelow=7925;e.yeharabic=1610;e.yehbarreearabic=1746;e.yehbarreefinalarabic=64431;e.yehfinalarabic=65266;e.yehhamzaabovearabic=1574;e.yehhamzaabovefinalarabic=65162;e.yehhamzaaboveinitialarabic=65163;e.yehhamzaabovemedialarabic=65164;e.yehinitialarabic=65267;e.yehmedialarabic=65268;e.yehmeeminitialarabic=6\ -4733;e.yehmeemisolatedarabic=64600;e.yehnoonfinalarabic=64660;e.yehthreedotsbelowarabic=1745;e.yekorean=12630;e.yen=165;e.yenmonospace=65509;e.yeokorean=12629;e.yeorinhieuhkorean=12678;e.yerahbenyomohebrew=1450;e.yerahbenyomolefthebrew=1450;e.yericyrillic=1099;e.yerudieresiscyrillic=1273;e.yesieungkorean=12673;e.yesieungpansioskorean=12675;e.yesieungsioskorean=12674;e.yetivhebrew=1434;e.ygrave=7923;e.yhook=436;e.yhookabove=7927;e.yiarmenian=1397;e.yicyrillic=1111;e.yikorean=12642;e.yinyang=9775;\ -e.yiwnarmenian=1410;e.ymonospace=65369;e.yod=1497;e.yoddagesh=64313;e.yoddageshhebrew=64313;e.yodhebrew=1497;e.yodyodhebrew=1522;e.yodyodpatahhebrew=64287;e.yohiragana=12424;e.yoikorean=12681;e.yokatakana=12520;e.yokatakanahalfwidth=65430;e.yokorean=12635;e.yosmallhiragana=12423;e.yosmallkatakana=12519;e.yosmallkatakanahalfwidth=65390;e.yotgreek=1011;e.yoyaekorean=12680;e.yoyakorean=12679;e.yoyakthai=3618;e.yoyingthai=3597;e.yparen=9396;e.ypogegrammeni=890;e.ypogegrammenigreekcmb=837;e.yr=422;e.\ -yring=7833;e.ysuperior=696;e.ytilde=7929;e.yturned=654;e.yuhiragana=12422;e.yuikorean=12684;e.yukatakana=12518;e.yukatakanahalfwidth=65429;e.yukorean=12640;e.yusbigcyrillic=1131;e.yusbigiotifiedcyrillic=1133;e.yuslittlecyrillic=1127;e.yuslittleiotifiedcyrillic=1129;e.yusmallhiragana=12421;e.yusmallkatakana=12517;e.yusmallkatakanahalfwidth=65389;e.yuyekorean=12683;e.yuyeokorean=12682;e.yyabengali=2527;e.yyadeva=2399;e.z=122;e.zaarmenian=1382;e.zacute=378;e.zadeva=2395;e.zagurmukhi=2651;e.zaharabi\ -c=1592;e.zahfinalarabic=65222;e.zahinitialarabic=65223;e.zahiragana=12374;e.zahmedialarabic=65224;e.zainarabic=1586;e.zainfinalarabic=65200;e.zakatakana=12470;e.zaqefgadolhebrew=1429;e.zaqefqatanhebrew=1428;e.zarqahebrew=1432;e.zayin=1494;e.zayindagesh=64310;e.zayindageshhebrew=64310;e.zayinhebrew=1494;e.zbopomofo=12567;e.zcaron=382;e.zcircle=9449;e.zcircumflex=7825;e.zcurl=657;e.zdot=380;e.zdotaccent=380;e.zdotbelow=7827;e.zecyrillic=1079;e.zedescendercyrillic=1177;e.zedieresiscyrillic=1247;e.z\ -ehiragana=12380;e.zekatakana=12476;e.zero=48;e.zeroarabic=1632;e.zerobengali=2534;e.zerodeva=2406;e.zerogujarati=2790;e.zerogurmukhi=2662;e.zerohackarabic=1632;e.zeroinferior=8320;e.zeromonospace=65296;e.zerooldstyle=63280;e.zeropersian=1776;e.zerosuperior=8304;e.zerothai=3664;e.zerowidthjoiner=65279;e.zerowidthnonjoiner=8204;e.zerowidthspace=8203;e.zeta=950;e.zhbopomofo=12563;e.zhearmenian=1386;e.zhebrevecyrillic=1218;e.zhecyrillic=1078;e.zhedescendercyrillic=1175;e.zhedieresiscyrillic=1245;e.z\ -ihiragana=12376;e.zikatakana=12472;e.zinorhebrew=1454;e.zlinebelow=7829;e.zmonospace=65370;e.zohiragana=12382;e.zokatakana=12478;e.zparen=9397;e.zretroflexhook=656;e.zstroke=438;e.zuhiragana=12378;e.zukatakana=12474;e[".notdef"]=0;e.angbracketleftbig=9001;e.angbracketleftBig=9001;e.angbracketleftbigg=9001;e.angbracketleftBigg=9001;e.angbracketrightBig=9002;e.angbracketrightbig=9002;e.angbracketrightBigg=9002;e.angbracketrightbigg=9002;e.arrowhookleft=8618;e.arrowhookright=8617;e.arrowlefttophalf\ -=8636;e.arrowleftbothalf=8637;e.arrownortheast=8599;e.arrownorthwest=8598;e.arrowrighttophalf=8640;e.arrowrightbothalf=8641;e.arrowsoutheast=8600;e.arrowsouthwest=8601;e.backslashbig=8726;e.backslashBig=8726;e.backslashBigg=8726;e.backslashbigg=8726;e.bardbl=8214;e.bracehtipdownleft=65079;e.bracehtipdownright=65079;e.bracehtipupleft=65080;e.bracehtipupright=65080;e.braceleftBig=123;e.braceleftbig=123;e.braceleftbigg=123;e.braceleftBigg=123;e.bracerightBig=125;e.bracerightbig=125;e.bracerightbigg\ -=125;e.bracerightBigg=125;e.bracketleftbig=91;e.bracketleftBig=91;e.bracketleftbigg=91;e.bracketleftBigg=91;e.bracketrightBig=93;e.bracketrightbig=93;e.bracketrightbigg=93;e.bracketrightBigg=93;e.ceilingleftbig=8968;e.ceilingleftBig=8968;e.ceilingleftBigg=8968;e.ceilingleftbigg=8968;e.ceilingrightbig=8969;e.ceilingrightBig=8969;e.ceilingrightbigg=8969;e.ceilingrightBigg=8969;e.circledotdisplay=8857;e.circledottext=8857;e.circlemultiplydisplay=8855;e.circlemultiplytext=8855;e.circleplusdisplay=88\ -53;e.circleplustext=8853;e.contintegraldisplay=8750;e.contintegraltext=8750;e.coproductdisplay=8720;e.coproducttext=8720;e.floorleftBig=8970;e.floorleftbig=8970;e.floorleftbigg=8970;e.floorleftBigg=8970;e.floorrightbig=8971;e.floorrightBig=8971;e.floorrightBigg=8971;e.floorrightbigg=8971;e.hatwide=770;e.hatwider=770;e.hatwidest=770;e.intercal=7488;e.integraldisplay=8747;e.integraltext=8747;e.intersectiondisplay=8898;e.intersectiontext=8898;e.logicalanddisplay=8743;e.logicalandtext=8743;e.logical\ -ordisplay=8744;e.logicalortext=8744;e.parenleftBig=40;e.parenleftbig=40;e.parenleftBigg=40;e.parenleftbigg=40;e.parenrightBig=41;e.parenrightbig=41;e.parenrightBigg=41;e.parenrightbigg=41;e.prime=8242;e.productdisplay=8719;e.producttext=8719;e.radicalbig=8730;e.radicalBig=8730;e.radicalBigg=8730;e.radicalbigg=8730;e.radicalbt=8730;e.radicaltp=8730;e.radicalvertex=8730;e.slashbig=47;e.slashBig=47;e.slashBigg=47;e.slashbigg=47;e.summationdisplay=8721;e.summationtext=8721;e.tildewide=732;e.tildewid\ -er=732;e.tildewidest=732;e.uniondisplay=8899;e.unionmultidisplay=8846;e.unionmultitext=8846;e.unionsqdisplay=8852;e.unionsqtext=8852;e.uniontext=8899;e.vextenddouble=8741;e.vextendsingle=8739})),Ir=getLookupTableFactory((function(e){e.space=32;e.a1=9985;e.a2=9986;e.a202=9987;e.a3=9988;e.a4=9742;e.a5=9990;e.a119=9991;e.a118=9992;e.a117=9993;e.a11=9755;e.a12=9758;e.a13=9996;e.a14=9997;e.a15=9998;e.a16=9999;e.a105=1e4;e.a17=10001;e.a18=10002;e.a19=10003;e.a20=10004;e.a21=10005;e.a22=10006;e.a23=100\ -07;e.a24=10008;e.a25=10009;e.a26=10010;e.a27=10011;e.a28=10012;e.a6=10013;e.a7=10014;e.a8=10015;e.a9=10016;e.a10=10017;e.a29=10018;e.a30=10019;e.a31=10020;e.a32=10021;e.a33=10022;e.a34=10023;e.a35=9733;e.a36=10025;e.a37=10026;e.a38=10027;e.a39=10028;e.a40=10029;e.a41=10030;e.a42=10031;e.a43=10032;e.a44=10033;e.a45=10034;e.a46=10035;e.a47=10036;e.a48=10037;e.a49=10038;e.a50=10039;e.a51=10040;e.a52=10041;e.a53=10042;e.a54=10043;e.a55=10044;e.a56=10045;e.a57=10046;e.a58=10047;e.a59=10048;e.a60=1004\ -9;e.a61=10050;e.a62=10051;e.a63=10052;e.a64=10053;e.a65=10054;e.a66=10055;e.a67=10056;e.a68=10057;e.a69=10058;e.a70=10059;e.a71=9679;e.a72=10061;e.a73=9632;e.a74=10063;e.a203=10064;e.a75=10065;e.a204=10066;e.a76=9650;e.a77=9660;e.a78=9670;e.a79=10070;e.a81=9687;e.a82=10072;e.a83=10073;e.a84=10074;e.a97=10075;e.a98=10076;e.a99=10077;e.a100=10078;e.a101=10081;e.a102=10082;e.a103=10083;e.a104=10084;e.a106=10085;e.a107=10086;e.a108=10087;e.a112=9827;e.a111=9830;e.a110=9829;e.a109=9824;e.a120=9312;e.\ -a121=9313;e.a122=9314;e.a123=9315;e.a124=9316;e.a125=9317;e.a126=9318;e.a127=9319;e.a128=9320;e.a129=9321;e.a130=10102;e.a131=10103;e.a132=10104;e.a133=10105;e.a134=10106;e.a135=10107;e.a136=10108;e.a137=10109;e.a138=10110;e.a139=10111;e.a140=10112;e.a141=10113;e.a142=10114;e.a143=10115;e.a144=10116;e.a145=10117;e.a146=10118;e.a147=10119;e.a148=10120;e.a149=10121;e.a150=10122;e.a151=10123;e.a152=10124;e.a153=10125;e.a154=10126;e.a155=10127;e.a156=10128;e.a157=10129;e.a158=10130;e.a159=10131;e.a1\ -60=10132;e.a161=8594;e.a163=8596;e.a164=8597;e.a196=10136;e.a165=10137;e.a192=10138;e.a166=10139;e.a167=10140;e.a168=10141;e.a169=10142;e.a170=10143;e.a171=10144;e.a172=10145;e.a173=10146;e.a162=10147;e.a174=10148;e.a175=10149;e.a176=10150;e.a177=10151;e.a178=10152;e.a179=10153;e.a193=10154;e.a180=10155;e.a199=10156;e.a181=10157;e.a200=10158;e.a182=10159;e.a201=10161;e.a183=10162;e.a184=10163;e.a197=10164;e.a185=10165;e.a194=10166;e.a198=10167;e.a186=10168;e.a195=10169;e.a187=10170;e.a188=10171;\ -e.a189=10172;e.a190=10173;e.a191=10174;e.a89=10088;e.a90=10089;e.a93=10090;e.a94=10091;e.a91=10092;e.a92=10093;e.a205=10094;e.a85=10095;e.a206=10096;e.a86=10097;e.a87=10098;e.a88=10099;e.a95=10100;e.a96=10101;e[".notdef"]=0})),Tr=getLookupTableFactory((function(e){e[63721]=169;e[63193]=169;e[63720]=174;e[63194]=174;e[63722]=8482;e[63195]=8482;e[63729]=9127;e[63730]=9128;e[63731]=9129;e[63740]=9131;e[63741]=9132;e[63742]=9133;e[63726]=9121;e[63727]=9122;e[63728]=9123;e[63737]=9124;e[63738]=9125;e\ -[63739]=9126;e[63723]=9115;e[63724]=9116;e[63725]=9117;e[63734]=9118;e[63735]=9119;e[63736]=9120}));function getUnicodeForGlyph(e,t){let a=t[e];if(void 0!==a)return a;if(!e)return-1;if("u"===e[0]){const t=e.length;let r;if(7===t&&"n"===e[1]&&"i"===e[2])r=e.substring(3);else{if(!(t>=5&&t<=7))return-1;r=e.substring(1)}if(r===r.toUpperCase()){a=parseInt(r,16);if(a>=0)return a}}return-1}const Or=[[0,127],[128,255],[256,383],[384,591],[592,687,7424,7551,7552,7615],[688,767,42752,42783],[768,879,7616,\ -7679],[880,1023],[11392,11519],[1024,1279,1280,1327,11744,11775,42560,42655],[1328,1423],[1424,1535],[42240,42559],[1536,1791,1872,1919],[1984,2047],[2304,2431],[2432,2559],[2560,2687],[2688,2815],[2816,2943],[2944,3071],[3072,3199],[3200,3327],[3328,3455],[3584,3711],[3712,3839],[4256,4351,11520,11567],[6912,7039],[4352,4607],[7680,7935,11360,11391,42784,43007],[7936,8191],[8192,8303,11776,11903],[8304,8351],[8352,8399],[8400,8447],[8448,8527],[8528,8591],[8592,8703,10224,10239,10496,10623,1100\ -8,11263],[8704,8959,10752,11007,10176,10223,10624,10751],[8960,9215],[9216,9279],[9280,9311],[9312,9471],[9472,9599],[9600,9631],[9632,9727],[9728,9983],[9984,10175],[12288,12351],[12352,12447],[12448,12543,12784,12799],[12544,12591,12704,12735],[12592,12687],[43072,43135],[12800,13055],[13056,13311],[44032,55215],[55296,57343],[67840,67871],[19968,40959,11904,12031,12032,12255,12272,12287,13312,19903,131072,173791,12688,12703],[57344,63743],[12736,12783,63744,64255,194560,195103],[64256,64335],\ -[64336,65023],[65056,65071],[65040,65055],[65104,65135],[65136,65279],[65280,65519],[65520,65535],[3840,4095],[1792,1871],[1920,1983],[3456,3583],[4096,4255],[4608,4991,4992,5023,11648,11743],[5024,5119],[5120,5759],[5760,5791],[5792,5887],[6016,6143],[6144,6319],[10240,10495],[40960,42127],[5888,5919,5920,5951,5952,5983,5984,6015],[66304,66351],[66352,66383],[66560,66639],[118784,119039,119040,119295,119296,119375],[119808,120831],[1044480,1048573],[65024,65039,917760,917999],[917504,917631],[6\ -400,6479],[6480,6527],[6528,6623],[6656,6687],[11264,11359],[11568,11647],[19904,19967],[43008,43055],[65536,65663,65664,65791,65792,65855],[65856,65935],[66432,66463],[66464,66527],[66640,66687],[66688,66735],[67584,67647],[68096,68191],[119552,119647],[73728,74751,74752,74879],[119648,119679],[7040,7103],[7168,7247],[7248,7295],[43136,43231],[43264,43311],[43312,43359],[43520,43615],[65936,65999],[66e3,66047],[66208,66271,66176,66207,67872,67903],[127024,127135,126976,127023]];function getUnic\ -odeRangeFor(e,t=-1){if(-1!==t){const a=Or[t];for(let r=0,i=a.length;r=a[r]&&e<=a[r+1])return t}for(let t=0,a=Or.length;t=a[r]&&e<=a[r+1])return t}return-1}const Mr=new RegExp("^(\\\\s)|(\\\\p{Mn})|(\\\\p{Cf})$","u"),Dr=new Map;const Rr=!0,Nr=1,Er=2,Pr=4,Lr=32,jr=[".notdef",".null","nonmarkingreturn","space","exclam","quotedbl","numbersign","dollar","percent","ampersand","quotesingle","parenleft","parenright","asterisk","plus","com\ -ma","hyphen","period","slash","zero","one","two","three","four","five","six","seven","eight","nine","colon","semicolon","less","equal","greater","question","at","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z","bracketleft","backslash","bracketright","asciicircum","underscore","grave","a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t","u","v","w","x","y","z","braceleft","bar","braceright","asciitilde","Adieresis"\ -,"Aring","Ccedilla","Eacute","Ntilde","Odieresis","Udieresis","aacute","agrave","acircumflex","adieresis","atilde","aring","ccedilla","eacute","egrave","ecircumflex","edieresis","iacute","igrave","icircumflex","idieresis","ntilde","oacute","ograve","ocircumflex","odieresis","otilde","uacute","ugrave","ucircumflex","udieresis","dagger","degree","cent","sterling","section","bullet","paragraph","germandbls","registered","copyright","trademark","acute","dieresis","notequal","AE","Oslash","infinity",\ -"plusminus","lessequal","greaterequal","yen","mu","partialdiff","summation","product","pi","integral","ordfeminine","ordmasculine","Omega","ae","oslash","questiondown","exclamdown","logicalnot","radical","florin","approxequal","Delta","guillemotleft","guillemotright","ellipsis","nonbreakingspace","Agrave","Atilde","Otilde","OE","oe","endash","emdash","quotedblleft","quotedblright","quoteleft","quoteright","divide","lozenge","ydieresis","Ydieresis","fraction","currency","guilsinglleft","guilsingl\ -right","fi","fl","daggerdbl","periodcentered","quotesinglbase","quotedblbase","perthousand","Acircumflex","Ecircumflex","Aacute","Edieresis","Egrave","Iacute","Icircumflex","Idieresis","Igrave","Oacute","Ocircumflex","apple","Ograve","Uacute","Ucircumflex","Ugrave","dotlessi","circumflex","tilde","macron","breve","dotaccent","ring","cedilla","hungarumlaut","ogonek","caron","Lslash","lslash","Scaron","scaron","Zcaron","zcaron","brokenbar","Eth","eth","Yacute","yacute","Thorn","thorn","minus","mul\ -tiply","onesuperior","twosuperior","threesuperior","onehalf","onequarter","threequarters","franc","Gbreve","gbreve","Idotaccent","Scedilla","scedilla","Cacute","cacute","Ccaron","ccaron","dcroat"];function recoverGlyphName(e,t){if(void 0!==t[e])return e;const a=getUnicodeForGlyph(e,t);if(-1!==a)for(const e in t)if(t[e]===a)return e;info("Unable to recover a standard glyph name for: "+e);return e}function type1FontGlyphMapping(e,t,a){const r=Object.create(null);let i,n,s;const o=!!(e.flags&Pr);if\ -(e.isInternalFont){s=t;for(n=0;n=0?i:0}}else if(e.baseEncodingName){s=getEncoding(e.baseEncodingName);for(n=0;n=0?i:0}}else if(o)for(n in t)r[n]=t[n];else{s=Ar;for(n=0;n=0?i:0}}const c=e.differences;let l;if(c)for(n in c){const e=c[n];i=a.indexOf(e);if(-1===i){l||(l=Fr());const t=recoverGlyphName(e,l);t!==e&&(i=a.indexOf(t))}r[n]=i>=0?i:0}return r}function normalizeFontName(e){\ -return e.replaceAll(/[,_]/g,"-").replaceAll(/\\s/g,"")}const _r=getLookupTableFactory((e=>{e[8211]=65074;e[8212]=65073;e[8229]=65072;e[8230]=65049;e[12289]=65041;e[12290]=65042;e[12296]=65087;e[12297]=65088;e[12298]=65085;e[12299]=65086;e[12300]=65089;e[12301]=65090;e[12302]=65091;e[12303]=65092;e[12304]=65083;e[12305]=65084;e[12308]=65081;e[12309]=65082;e[12310]=65047;e[12311]=65048;e[65103]=65076;e[65281]=65045;e[65288]=65077;e[65289]=65078;e[65292]=65040;e[65306]=65043;e[65307]=65044;e[65311]=\ -65046;e[65339]=65095;e[65341]=65096;e[65343]=65075;e[65371]=65079;e[65373]=65080}));const 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-Delta:-1,stackFn(e,t){e[t-2]=e[t-2]-e[t-1]}},{id:"div",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]/e[t-1]}},null,{id:"neg",min:1,stackDelta:0,stackFn(e,t){e[t-1]=-e[t-1]}},{id:"eq",min:2,stackDelta:-1},null,null,{id:"drop",min:1,stackDelta:-1},null,{id:"put",min:2,stackDelta:-2},{id:"get",min:1,stackDelta:0},{id:"ifelse",min:4,stackDelta:-3},{id:"random",min:0,stackDelta:1},{id:"mul",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]*e[t-1]}},null,{id:"sqrt",min:1,stackDelta:0},{id:"dup",min:1,st\ -ackDelta:1},{id:"exch",min:2,stackDelta:0},{id:"index",min:2,stackDelta:0},{id:"roll",min:3,stackDelta:-2},null,null,null,{id:"hflex",min:7,resetStack:!0},{id:"flex",min:13,resetStack:!0},{id:"hflex1",min:9,resetStack:!0},{id:"flex1",min:11,resetStack:!0}];class CFFParser{constructor(e,t,a){this.bytes=e.getBytes();this.properties=t;this.seacAnalysisEnabled=!!a}parse(){const e=this.properties,t=new CFF;this.cff=t;const a=this.parseHeader(),r=this.parseIndex(a.endPos),i=this.parseIndex(r.endPos),n\ -=this.parseIndex(i.endPos),s=this.parseIndex(n.endPos),o=this.parseDict(i.obj.get(0)),c=this.createDict(CFFTopDict,o,t.strings);t.header=a.obj;t.names=this.parseNameIndex(r.obj);t.strings=this.parseStringIndex(n.obj);t.topDict=c;t.globalSubrIndex=s.obj;this.parsePrivateDict(t.topDict);t.isCIDFont=c.hasName("ROS");const l=c.getByName("CharStrings"),h=this.parseIndex(l).obj,u=c.getByName("FontMatrix");u&&(e.fontMatrix=u);const d=c.getByName("FontBBox");if(d){e.ascent=Math.max(d[3],d[1]);e.descent=\ -Math.min(d[1],d[3]);e.ascentScaled=!0}let f,g;if(t.isCIDFont){const e=this.parseIndex(c.getByName("FDArray")).obj;for(let a=0,r=e.count;a=t)throw new FormatError("Invalid CFF header");if(0!==a){info("cff data is shifted");e=e.subarray(a);this.by\ -tes=e}const r=e[0],i=e[1],n=e[2],s=e[3];return{obj:new CFFHeader(r,i,n,s),endPos:n}}parseDict(e){let t=0;function parseOperand(){let a=e[t++];if(30===a)return function parseFloatOperand(){let a="";const r=15,i=["0","1","2","3","4","5","6","7","8","9",".","E","E-",null,"-"],n=e.length;for(;t>4,o=15&n;if(s===r)break;a+=i[s];if(o===r)break;a+=i[o]}return parseFloat(a)}();if(28===a){a=readInt16(e,t);t+=2;return a}if(29===a){a=e[t++];a=a<<8|e[t++];a=a<<8|e[t++];a=a<<8|e[t++];r\ -eturn a}if(a>=32&&a<=246)return a-139;if(a>=247&&a<=250)return 256*(a-247)+e[t++]+108;if(a>=251&&a<=254)return-256*(a-251)-e[t++]-108;warn(\'CFFParser_parseDict: "\'+a+\'" is a reserved command.\');return NaN}let a=[];const r=[];t=0;const i=e.length;for(;t10)return!1;let i=e.stackSize;const n=e.stack;let s=t.length;for(let o=0;o=4){i-=4;if(this.seacAnalysisEnabled){e.seac=n.slice(i,i+4);return!1}}l=zr[c]}else if(c>=32&&c<=246){n[i]=c-139;i++}else if(c>=247&&c<=254){n[i]=c<251?(c-247<<8)+t[o]+108:-(c-251<<8)-t[o]-108;o++;i++}else if(255===c){n[i]=(t[o]\ -<<24|t[o+1]<<16|t[o+2]<<8|t[o+3])/65536;o+=4;i++}else if(19===c||20===c){e.hints+=i>>1;if(0===e.hints){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}o+=e.hints+7>>3;i%=2;l=zr[c]}else{if(10===c||29===c){const t=10===c?a:r;if(!t){l=zr[c];warn("Missing subrsIndex for "+l.id);return!1}let s=32768;t.count<1240?s=107:t.count<33900&&(s=1131);const o=n[--i]+s;if(o<0||o>=t.count||isNaN(o)){l=zr[c];warn("Out of bounds subrIndex for "+l.id);return!1}e.stackSize=i;e.callDepth++;if(!this.parseCharString(e,t.get(\ -o),a,r))return!1;e.callDepth--;i=e.stackSize;continue}if(11===c){e.stackSize=i;return!0}if(0===c&&o===t.length){t[o-1]=14;l=zr[14]}else{if(9===c){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}l=zr[c]}}if(l){if(l.stem){e.hints+=i>>1;if(3===c||23===c)e.hasVStems=!0;else if(e.hasVStems&&(1===c||18===c)){warn("CFF stem hints are in wrong order");t[o-1]=1===c?3:23}}if("min"in l&&!e.undefStack&&i=2&&l.stem?i%=2:i>1&&warn("Found too many parameters for stack-clearing command");i>0&&(e.width=n[i-1])}if("stackDelta"in l){"stackFn"in l&&l.stackFn(n,i);i+=l.stackDelta}else if(l.stackClearing)i=0;else if(l.resetStack){i=0;e.undefStack=!1}else if(l.undefStack){i=0;e.undefStack=!0;e.firstStackClearing=!1}}}s=i.length){warn("Invalid fd index for glyph index.");u=!1}if(u){f=i[e].privateDict;d=f.subrsIndex}}else t&&(d=t);u&&(u=this.parseCharString(h,c,d,a));\ -if(null!==h.width){const e=f.getByName("nominalWidthX");o[l]=e+h.width}else{const e=f.getByName("defaultWidthX");o[l]=e}null!==h.seac&&(s[l]=h.seac);u||e.set(l,new Uint8Array([14]))}return{charStrings:e,seacs:s,widths:o}}emptyPrivateDictionary(e){const t=this.createDict(CFFPrivateDict,[],e.strings);e.setByKey(18,[0,0]);e.privateDict=t}parsePrivateDict(e){if(!e.hasName("Private")){this.emptyPrivateDictionary(e);return}const t=e.getByName("Private");if(!Array.isArray(t)||2!==t.length){e.removeByNa\ -me("Private");return}const a=t[0],r=t[1];if(0===a||r>=this.bytes.length){this.emptyPrivateDictionary(e);return}const i=r+a,n=this.bytes.subarray(r,i),s=this.parseDict(n),o=this.createDict(CFFPrivateDict,s,e.strings);e.privateDict=o;0===o.getByName("ExpansionFactor")&&o.setByName("ExpansionFactor",.06);if(!o.getByName("Subrs"))return;const c=o.getByName("Subrs"),l=r+c;if(0===c||l>=this.bytes.length){this.emptyPrivateDictionary(e);return}const h=this.parseIndex(l);o.subrsIndex=h.obj}parseCharsets(\ -e,t,a,r){if(0===e)return new CFFCharset(!0,Kr.ISO_ADOBE,Ur);if(1===e)return new CFFCharset(!0,Kr.EXPERT,Xr);if(2===e)return new CFFCharset(!0,Kr.EXPERT_SUBSET,qr);const i=this.bytes,n=e,s=i[e++],o=[r?0:".notdef"];let c,l,h;t-=1;switch(s){case 0:for(h=0;h=65535){warn("Not enough space in charstrings to duplicate first glyph.");return}const e=this.charStrings.get(0);this.charStrings.add(e);this.isCIDFont&&this.fdSelect.fdSelect.push(this.fdSelect.fdSelect[0])}hasGlyphId(e){if(e<0||e>=this.charStrings.count)return!1;return this.charStrings.get(e).length>0}}class CFFHeader{constructor(\ -e,t,a,r){this.major=e;this.minor=t;this.hdrSize=a;this.offSize=r}}class CFFStrings{constructor(){this.strings=[]}get(e){return e>=0&&e<=390?Hr[e]:e-Wr<=this.strings.length?this.strings[e-Wr]:Hr[0]}getSID(e){let t=Hr.indexOf(e);if(-1!==t)return t;t=this.strings.indexOf(e);return-1!==t?t+Wr:-1}add(e){this.strings.push(e)}get count(){return this.strings.length}}class CFFIndex{constructor(){this.objects=[];this.length=0}add(e){this.length+=e.length;this.objects.push(e)}set(e,t){this.length+=t.length\ --this.objects[e].length;this.objects[e]=t}get(e){return this.objects[e]}get count(){return this.objects.length}}class CFFDict{constructor(e,t){this.keyToNameMap=e.keyToNameMap;this.nameToKeyMap=e.nameToKeyMap;this.defaults=e.defaults;this.types=e.types;this.opcodes=e.opcodes;this.order=e.order;this.strings=t;this.values=Object.create(null)}setByKey(e,t){if(!(e in this.keyToNameMap))return!1;if(0===t.length)return!0;for(const a of t)if(isNaN(a)){warn(`Invalid CFFDict value: "${t}" for key "${e}".\ -`);return!0}const a=this.types[e];"num"!==a&&"sid"!==a&&"offset"!==a||(t=t[0]);this.values[e]=t;return!0}setByName(e,t){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name "${e}"`);this.values[this.nameToKeyMap[e]]=t}hasName(e){return this.nameToKeyMap[e]in this.values}getByName(e){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name ${e}"`);const t=this.nameToKeyMap[e];return t in this.values?this.values[t]:this.defaults[t]}removeByName(e){delete t\ -his.values[this.nameToKeyMap[e]]}static createTables(e){const t={keyToNameMap:{},nameToKeyMap:{},defaults:{},types:{},opcodes:{},order:[]};for(const a of e){const e=Array.isArray(a[0])?(a[0][0]<<8)+a[0][1]:a[0];t.keyToNameMap[e]=a[1];t.nameToKeyMap[a[1]]=e;t.types[e]=a[2];t.defaults[e]=a[3];t.opcodes[e]=Array.isArray(a[0])?a[0]:[a[0]];t.order.push(e)}return t}}const Gr=[[[12,30],"ROS",["sid","sid","num"],null],[[12,20],"SyntheticBase","num",null],[0,"version","sid",null],[1,"Notice","sid",null],\ -[[12,0],"Copyright","sid",null],[2,"FullName","sid",null],[3,"FamilyName","sid",null],[4,"Weight","sid",null],[[12,1],"isFixedPitch","num",0],[[12,2],"ItalicAngle","num",0],[[12,3],"UnderlinePosition","num",-100],[[12,4],"UnderlineThickness","num",50],[[12,5],"PaintType","num",0],[[12,6],"CharstringType","num",2],[[12,7],"FontMatrix",["num","num","num","num","num","num"],[.001,0,0,.001,0,0]],[13,"UniqueID","num",null],[5,"FontBBox",["num","num","num","num"],[0,0,0,0]],[[12,8],"StrokeWidth","num"\ -,0],[14,"XUID","array",null],[15,"charset","offset",0],[16,"Encoding","offset",0],[17,"CharStrings","offset",0],[18,"Private",["offset","offset"],null],[[12,21],"PostScript","sid",null],[[12,22],"BaseFontName","sid",null],[[12,23],"BaseFontBlend","delta",null],[[12,31],"CIDFontVersion","num",0],[[12,32],"CIDFontRevision","num",0],[[12,33],"CIDFontType","num",0],[[12,34],"CIDCount","num",8720],[[12,35],"UIDBase","num",null],[[12,37],"FDSelect","offset",null],[[12,36],"FDArray","offset",null],[[12\ -,38],"FontName","sid",null]];class CFFTopDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Gr))}constructor(e){super(CFFTopDict.tables,e);this.privateDict=null}}const Vr=[[6,"BlueValues","delta",null],[7,"OtherBlues","delta",null],[8,"FamilyBlues","delta",null],[9,"FamilyOtherBlues","delta",null],[[12,9],"BlueScale","num",.039625],[[12,10],"BlueShift","num",7],[[12,11],"BlueFuzz","num",1],[10,"StdHW","num",null],[11,"StdVW","num",null],[[12,12],"StemSnapH","d\ -elta",null],[[12,13],"StemSnapV","delta",null],[[12,14],"ForceBold","num",0],[[12,17],"LanguageGroup","num",0],[[12,18],"ExpansionFactor","num",.06],[[12,19],"initialRandomSeed","num",0],[20,"defaultWidthX","num",0],[21,"nominalWidthX","num",0],[19,"Subrs","offset",null]];class CFFPrivateDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Vr))}constructor(e){super(CFFPrivateDict.tables,e);this.subrsIndex=null}}const Kr={ISO_ADOBE:0,EXPERT:1,EXPERT_SUBSET:2};cla\ -ss CFFCharset{constructor(e,t,a,r){this.predefined=e;this.format=t;this.charset=a;this.raw=r}}class CFFEncoding{constructor(e,t,a,r){this.predefined=e;this.format=t;this.encoding=a;this.raw=r}}class CFFFDSelect{constructor(e,t){this.format=e;this.fdSelect=t}getFDIndex(e){return e<0||e>=this.fdSelect.length?-1:this.fdSelect[e]}}class CFFOffsetTracker{constructor(){this.offsets=Object.create(null)}isTracking(e){return e in this.offsets}track(e,t){if(e in this.offsets)throw new FormatError(`Already\ - tracking location of ${e}`);this.offsets[e]=t}offset(e){for(const t in this.offsets)this.offsets[t]+=e}setEntryLocation(e,t,a){if(!(e in this.offsets))throw new FormatError(`Not tracking location of ${e}`);const r=a.data,i=this.offsets[e];for(let e=0,a=t.length;e>24&255;r[s]=l>>16&255;r[o]=l>>8&255;r[c]=255\ -&l}}}class CFFCompiler{constructor(e){this.cff=e}compile(){const e=this.cff,t={data:[],length:0,add(e){try{this.data.push(...e)}catch{this.data=this.data.concat(e)}this.length=this.data.length}},a=this.compileHeader(e.header);t.add(a);const r=this.compileNameIndex(e.names);t.add(r);if(e.isCIDFont&&e.topDict.hasName("FontMatrix")){const t=e.topDict.getByName("FontMatrix");e.topDict.removeByName("FontMatrix");for(const a of e.fdArray){let e=t.slice(0);a.hasName("FontMatrix")&&(e=Util.transform(e,a\ -.getByName("FontMatrix")));a.setByName("FontMatrix",e)}}const i=e.topDict.getByName("XUID");i?.length>16&&e.topDict.removeByName("XUID");e.topDict.setByName("charset",0);let n=this.compileTopDicts([e.topDict],t.length,e.isCIDFont);t.add(n.output);const s=n.trackers[0],o=this.compileStringIndex(e.strings.strings);t.add(o);const c=this.compileIndex(e.globalSubrIndex);t.add(c);if(e.encoding&&e.topDict.hasName("Encoding"))if(e.encoding.predefined)s.setEntryLocation("Encoding",[e.encoding.format],t);\ -else{const a=this.compileEncoding(e.encoding);s.setEntryLocation("Encoding",[t.length],t);t.add(a)}const l=this.compileCharset(e.charset,e.charStrings.count,e.strings,e.isCIDFont);s.setEntryLocation("charset",[t.length],t);t.add(l);const h=this.compileCharStrings(e.charStrings);s.setEntryLocation("CharStrings",[t.length],t);t.add(h);if(e.isCIDFont){s.setEntryLocation("FDSelect",[t.length],t);const a=this.compileFDSelect(e.fdSelect);t.add(a);n=this.compileTopDicts(e.fdArray,t.length,!0);s.setEntr\ -yLocation("FDArray",[t.length],t);t.add(n.output);const r=n.trackers;this.compilePrivateDicts(e.fdArray,r,t)}this.compilePrivateDicts([e.topDict],[s],t);t.add([0]);return t.data}encodeNumber(e){return Number.isInteger(e)?this.encodeInteger(e):this.encodeFloat(e)}static get EncodeFloatRegExp(){return shadow(this,"EncodeFloatRegExp",/\\.(\\d*?)(?:9{5,20}|0{5,20})\\d{0,2}(?:e(.+)|$)/)}encodeFloat(e){let t=e.toString();const a=CFFCompiler.EncodeFloatRegExp.exec(t);if(a){const r=parseFloat("1e"+((a[2]?+\ -a[2]:0)+a[1].length));t=(Math.round(e*r)/r).toString()}let r,i,n="";for(r=0,i=t.length;r=-107&&e<=107?[e+139]:e>=108&&e<=1131?[247+((e-=108)>>8),255&e]:e>=-1131&&e<=-108?[251+((e=-e-108)>>8),255&e]:e>=-32768&&e<=32767?[28,e>>8&255,255&e]:[29,e>>24&255,e>>16&255,e>>8&255,255&e];ret\ -urn t}compileHeader(e){return[e.major,e.minor,4,e.offSize]}compileNameIndex(e){const t=new CFFIndex;for(const a of e){const e=Math.min(a.length,127);let r=new Array(e);for(let t=0;t"~"||"["===e||"]"===e||"("===e||")"===e||"{"===e||"}"===e||"<"===e||">"===e||"/"===e||"%"===e)&&(e="_");r[t]=e}r=r.join("");""===r&&(r="Bad_Font_Name");t.add(stringToBytes(r))}return this.compileIndex(t)}compileTopDicts(e,t,a){const r=[];let i=new CFFIndex;for(const n of e){if(a){n.removeB\ -yName("CIDFontVersion");n.removeByName("CIDFontRevision");n.removeByName("CIDFontType");n.removeByName("CIDCount");n.removeByName("UIDBase")}const e=new CFFOffsetTracker,s=this.compileDict(n,e);r.push(e);i.add(s);e.offset(t)}i=this.compileIndex(i,r);return{trackers:r,output:i}}compilePrivateDicts(e,t,a){for(let r=0,i=e.length;r>8&255,255&e])}else{i=new Uint8Array(1+2*n);i[0]=0;let t=0;const r=e.charset.length;let s=!1;for(let n=1;n>8&255;i[n+1]=255&\ -o}}return this.compileTypedArray(i)}compileEncoding(e){return this.compileTypedArray(e.raw)}compileFDSelect(e){const t=e.format;let a,r;switch(t){case 0:a=new Uint8Array(1+e.fdSelect.length);a[0]=t;for(r=0;r>8&255,255&i,n];for(r=1;r>8&255,255&r,t);n=t}}const o=(s.length-3)/3;s[1]=o>>8&255;s[2]=255&o;s.push(r>>8&255,255&r);a=new U\ -int8Array(s)}return this.compileTypedArray(a)}compileTypedArray(e){return Array.from(e)}compileIndex(e,t=[]){const a=e.objects,r=a.length;if(0===r)return[0,0];const i=[r>>8&255,255&r];let n,s,o=1;for(n=0;n>8&255,255&c):3===s?i.push(c>>16&255,c>>8&255,255&c):i.push(c>>>24&255,c>>16&255,c>>8&255,255&c);a[n]&&(c+=a[n].length)}for(n=0;n=this.firstChar&&e<=this.lastChar?e:-1}amend(e){unreachable("Should not call amend()")}}class CFFFont{constructor(e,t){this.properties=t;const a=new CFFParser(e,t,Rr);this.cff=a.parse();this.cff.duplicateFirstGlyph();const r=new CFFCompiler(this.cff);this.seacs=this.cff.seacs;try{this.data=r.compile()}catch{warn("Failed to compile font "+t.loadedName);this.data=e}this._createBuiltI\ -nEncoding()}get numGlyphs(){return this.cff.charStrings.count}getCharset(){return this.cff.charset.charset}getGlyphMapping(){const e=this.cff,t=this.properties,{cidToGidMap:a,cMap:r}=t,i=e.charset.charset;let n,s;if(t.composite){let t,o;if(a?.length>0){t=Object.create(null);for(let e=0,r=a.length;e=0){const r=a[t];r&&(i[e]=r)}}i.length>0&&(this.properties.builtInEncoding=i)}}function getFloat214(e,t){return readInt16(e,t)/16384}function \ -getSubroutineBias(e){const t=e.length;let a=32768;t<1240?a=107:t<33900&&(a=1131);return a}function parseCmap(e,t,a){const r=1===readUint16(e,t+2)?readUint32(e,t+8):readUint32(e,t+16),i=readUint16(e,t+r);let n,s,o;if(4===i){readUint16(e,t+r+2);const a=readUint16(e,t+r+6)>>1;s=t+r+14;n=[];for(o=0;o>1;a0;)h.push({flags:n})}for(a=0;a>1;y=!0;break;case 4:s+=i.pop();moveTo(n,s);y=!0;break;case \ -5:for(;i.length>0;){n+=i.shift();s+=i.shift();lineTo(n,s)}break;case 6:for(;i.length>0;){n+=i.shift();lineTo(n,s);if(0===i.length)break;s+=i.shift();lineTo(n,s)}break;case 7:for(;i.length>0;){s+=i.shift();lineTo(n,s);if(0===i.length)break;n+=i.shift();lineTo(n,s)}break;case 8:for(;i.length>0;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 10:m=i.pop();b=null;if(a.isCFFCIDFont){const e=a.fdSelect.getFDIndex(r);if(e>=0&&e<\ -a.fdArray.length){const t=a.fdArray[e];let r;t.privateDict?.subrsIndex&&(r=t.privateDict.subrsIndex.objects);if(r){m+=getSubroutineBias(r);b=r[m]}}else warn("Invalid fd index for glyph index.")}else b=a.subrs[m+a.subrsBias];b&&parse(b);break;case 11:return;case 12:w=e[c++];switch(w){case 34:l=n+i.shift();h=l+i.shift();f=s+i.shift();n=h+i.shift();bezierCurveTo(l,s,h,f,n,f);l=n+i.shift();h=l+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,s,n,s);break;case 35:l=n+i.shift();u=s+i.shift();h=l+i.shift();\ -d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);i.pop();break;case 36:l=n+i.shift();f=s+i.shift();h=l+i.shift();g=f+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,g,n,g);l=n+i.shift();h=l+i.shift();p=g+i.shift();n=h+i.shift();bezierCurveTo(l,g,h,p,n,s);break;case 37:const e=n,t=s;l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezier\ -CurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d;Math.abs(n-e)>Math.abs(s-t)?n+=i.shift():s+=i.shift();bezierCurveTo(l,u,h,d,n,s);break;default:throw new FormatError(`unknown operator: 12 ${w}`)}break;case 14:if(i.length>=4){const e=i.pop(),r=i.pop();s=i.pop();n=i.pop();t.save();t.translate(n,s);let o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[e]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId);t.restore();o=lookupCmap(a.cmap,String.fromCha\ -rCode(a.glyphNameMap[Ar[r]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId)}return;case 19:case 20:o+=i.length>>1;c+=o+7>>3;y=!0;break;case 21:s+=i.pop();n+=i.pop();moveTo(n,s);y=!0;break;case 22:n+=i.pop();moveTo(n,s);y=!0;break;case 24:for(;i.length>2;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}n+=i.shift();s+=i.shift();lineTo(n,s);break;case 25:for(;i.length>6;){n+=i.shift();s+=i.shift();lineTo(n,s)}l=n+i.shift();u=s+\ -i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);break;case 26:i.length%2&&(n+=i.shift());for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 27:i.length%2&&(s+=i.shift());for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d;bezierCurveTo(l,u,h,d,n,s)}break;case 28:i.push(readInt16(e,c));c+=2;break;case 29:m=i.pop()+a.gsubrsBias;b=a.gsubrs[m];b&&parse(b);br\ -eak;case 30:for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;case 31:for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n;u=s+i.shift();h=l+i.shift();d=u+i.sh\ -ift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;default:if(w<32)throw new FormatError(`unknown operator: ${w}`);if(w<247)i.push(w-139);else if(w<251)i.push(256*(w-247)+e[c++]+108);else if(w<255)i.push(256*-(w-251)-e[c++]-108);else{i.push((e[c]<<24|e[c+1]<<16|e[c+2]<<8|e[c+3])/65536);c+=4}}y&&(i.length=0)}}(e)}class Commands{cmds=[];transformStack=[];currentTransform=[1,0,0,1,0,0];add(e,t){if(t){const{currentTransform:a}=this;for(let e=0,r=t.length;e=0&&e2*readUint16(e,t)}const n=[];let s=i(t,0);for(let a=r;ae.getSize()+3&-4)))}write(){const e=this.getSize(),t=new DataView(new ArrayBuffer(e)),a=e>131070,r=a?4:2,i=new DataView(new ArrayBuffer((this.glyphs.length+1)*r));a?i.setUint32(0,0):i.setUint16(0,0);let n=0,s=0;for(const e of this.glyphs){n+=e.write(n,t);n=n+3&-4;s+=r;a?i.setUint32(s,n):i.setUint16(s,n>>1)}return{isLocationLong:a,loca:new Uint8Array(i.buffer),glyf:new Uint8Array(t.buffer)}}scale(e){for(let t=0,a=this.glyphs.length;te.getSize())));return this.header.getSize()+e}write(e,t){if(!this.header)return 0;const a=e;e+=this.header.write(e,t);if(this.simple)e+=this.simple.write(e,t);else for(const a of this.composites)e+=a.write(e,t);return e-a}scale(e){if(!this.header)return;const t=(this.header.xMin+this.header.xMax)/2;this.header.scale(t,e);if(this.simple)this.simple.scale(t,e);else for(const a of this.composites)a.scale(t,e)}}class GlyphHeader{constructor({numberOfC\ -ontours:e,xMin:t,yMin:a,xMax:r,yMax:i}){this.numberOfContours=e;this.xMin=t;this.yMin=a;this.xMax=r;this.yMax=i}static parse(e,t){return[10,new GlyphHeader({numberOfContours:t.getInt16(e),xMin:t.getInt16(e+2),yMin:t.getInt16(e+4),xMax:t.getInt16(e+6),yMax:t.getInt16(e+8)})]}getSize(){return 10}write(e,t){t.setInt16(e,this.numberOfContours);t.setInt16(e+2,this.xMin);t.setInt16(e+4,this.yMin);t.setInt16(e+6,this.xMax);t.setInt16(e+8,this.yMax);return 10}scale(e,t){this.xMin=Math.round(e+(this.xMin\ --e)*t);this.xMax=Math.round(e+(this.xMax-e)*t)}}class Contour{constructor({flags:e,xCoordinates:t,yCoordinates:a}){this.xCoordinates=t;this.yCoordinates=a;this.flags=e}}class SimpleGlyph{constructor({contours:e,instructions:t}){this.contours=e;this.instructions=t}static parse(e,t,a){const r=[];for(let i=0;i255?e+=2:o>0&&(e+=1);t=n;o=Math.abs(s-a);o>255?e+=2:o>0&&(e+=1);a=s}}return e}write(e,t){const a=e,r=[],i=[],n=[];let s=0,o=0;for(co\ -nst a of this.contours){for(let e=0,t=a.xCoordinates.length;e=0?18:2;r.push(e)}else r.push(l)}s=c;const h=a.yCoordinates[e];l=h-o;if(0===l){t|=32;i.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?36:4;i.push(e)}else i.push(l)}o=h;n.push(t)}t.setUint16(e,r.length-1);e+=2}t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer\ -,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}for(const a of n)t.setUint8(e++,a);for(let a=0,i=r.length;a=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(e+=2):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(e+=2);return e}write(e,t){const a=e;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(this.flags|=1):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(this.flags|=1);t.setUint16(e,this.flags);t.setUint16(e+2,this.glyphIndex);e+=4;if(1&this.flags){if(\ -2&this.flags){t.setInt16(e,this.argument1);t.setInt16(e+2,this.argument2)}else{t.setUint16(e,this.argument1);t.setUint16(e+2,this.argument2)}e+=4}else{t.setUint8(e,this.argument1);t.setUint8(e+1,this.argument2);e+=2}if(256&this.flags){t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}}return e-a}scale(e,t){}}function writeInt16(e,t,a){e[t]=a>>8&255;e[t+1]=255&a}function wri\ -teInt32(e,t,a){e[t]=a>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}function writeData(e,t,a){if(a instanceof Uint8Array)e.set(a,t);else if("string"==typeof a)for(let r=0,i=a.length;ra;){a<<=1;r++}const i=a*t;return{range:i,entry:r,rangeShift:t*e-i}}toArray(){let e=this.sfnt;const t=thi\ -s.tables,a=Object.keys(t);a.sort();const r=a.length;let i,n,s,o,c,l=12+16*r;const h=[l];for(i=0;i>>0;h.push(l)}const u=new Uint8Array(l);for(i=0;i>>0}writeInt32(u,l+4,e);writeInt32(u,l+8,h[i]);writeInt32(u,l+12,t[c].length);l+=16}return u}addTable(e,t){if(e in this.tables)throw new Error("Table "+e+" already exists");this.tables[e]=t}}const si=[4],oi=[5],ci=[6],li=[7],hi=[8],ui=[12,35],di=[14],fi=[21],gi=[22],pi=[30],mi=[31];class Type1CharString{con\ -structor(){this.width=0;this.lsb=0;this.flexing=!1;this.output=[];this.stack=[]}convert(e,t,a){const r=e.length;let i,n,s,o=!1;for(let c=0;cr)return!0;const i=r-e;for(let e=i;e>8&255,255&t);else{t=65536*t|0;this.output.push(255,t>>24&255,t>>16&255,t>>8\ -&255,255&t)}}this.output.push(...t);a?this.stack.splice(i,e):this.stack.length=0;return!1}}function isHexDigit(e){return e>=48&&e<=57||e>=65&&e<=70||e>=97&&e<=102}function decrypt(e,t,a){if(a>=e.length)return new Uint8Array(0);let r,i,n=0|t;for(r=0;r>8;n=52845*(t+n)+22719&65535}return o}function isSpecial(e){return 47===e||91===e||93===e||123===e||125===e||40===e||41===e}clas\ -s Type1Parser{constructor(e,t,a){if(t){const t=e.getBytes(),a=!((isHexDigit(t[0])||isWhiteSpace(t[0]))&&isHexDigit(t[1])&&isHexDigit(t[2])&&isHexDigit(t[3])&&isHexDigit(t[4])&&isHexDigit(t[5])&&isHexDigit(t[6])&&isHexDigit(t[7]));e=new Stream(a?decrypt(t,55665,4):function decryptAscii(e,t,a){let r=0|t;const i=e.length,n=new Uint8Array(i>>>1);let s,o;for(s=0,o=0;s>8;r=52845*(e+r)+22719&65535}}return n.slice(a,o)}(t,55665,4))}this.seacAnalysisEnabled=!!a;this.stream=e;this.nextChar()}readNumberArray(){this.getToken();const e=[];for(;;){const t=this.getToken();if(null===t||"]"===t||"}"===t)break;e.push(parseFloat(t||0))}return e}readNumber(){const e=this.getToken();return parseFloat(e||0)}readInt(){const e=this.getToken();return 0|parseInt(e||0,10)}readBoolean(){return"true"===this.getToken()?1:0}nextChar(){return this.currentChar=th\ -is.stream.getByte()}prevChar(){this.stream.skip(-2);return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(-1===t)return null;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}if(isSpecial(t)){this.nextChar();return String.fromCharCode(t)}let a="";do{a+=String.fromCharCode(t);t=this.nextChar()}while(t>=0&&!isWhiteSpace(t)&&!isSpecial(t));return a}readCharStrings(e,t){return-1===t?e:decrypt(e,4330,t)}extractFo\ -ntProgram(e){const t=this.stream,a=[],r=[],i=Object.create(null);i.lenIV=4;const n={subrs:[],charstrings:[],properties:{privateData:i}};let s,o,c,l;for(;null!==(s=this.getToken());)if("/"===s){s=this.getToken();switch(s){case"CharStrings":this.getToken();this.getToken();this.getToken();this.getToken();for(;;){s=this.getToken();if(null===s||"end"===s)break;if("/"!==s)continue;const e=this.getToken();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.\ -lenIV;const a=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s?this.getToken():"/"===s&&this.prevChar();r.push({glyph:e,encoded:a})}break;case"Subrs":this.readInt();this.getToken();for(;"dup"===this.getToken();){const e=this.readInt();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const r=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s&&this.getToken();a[e]=r}break;case"BlueValues":case"\ -OtherBlues":case"FamilyBlues":case"FamilyOtherBlues":const e=this.readNumberArray();e.length>0&&e.length,0;break;case"StemSnapH":case"StemSnapV":n.properties.privateData[s]=this.readNumberArray();break;case"StdHW":case"StdVW":n.properties.privateData[s]=this.readNumberArray()[0];break;case"BlueShift":case"lenIV":case"BlueFuzz":case"BlueScale":case"LanguageGroup":n.properties.privateData[s]=this.readNumber();break;case"ExpansionFactor":n.properties.privateData[s]=this.readNumber()||.06;break;case\ -"ForceBold":n.properties.privateData[s]=this.readBoolean()}}for(const{encoded:t,glyph:i}of r){const r=new Type1CharString,s=r.convert(t,a,this.seacAnalysisEnabled);let o=r.output;s&&(o=[14]);const c={glyphName:i,charstring:o,width:r.width,lsb:r.lsb,seac:r.seac};".notdef"===i?n.charstrings.unshift(c):n.charstrings.push(c);if(e.builtInEncoding){const t=e.builtInEncoding.indexOf(i);t>-1&&void 0===e.widths[t]&&t>=e.firstChar&&t<=e.lastChar&&(e.widths[t]=r.width)}}return n}extractFontHeader(e){let t;\ -for(;null!==(t=this.getToken());)if("/"===t){t=this.getToken();switch(t){case"FontMatrix":const a=this.readNumberArray();e.fontMatrix=a;break;case"Encoding":const r=this.getToken();let i;if(/^\\d+$/.test(r)){i=[];const e=0|parseInt(r,10);this.getToken();for(let a=0;a=i){s+=a;for(;s=0&&(r[e]=i)}}return type1FontGlyphMapping(e,r,a)}hasGlyphId(e){if(e<0||e>=this.numGlyphs)return!1;if(0===e)return!0;return this.charstrings[e-1].charstring.length>0}getSeacs(e){const t=[];for(let a=0,r=e.length;a0;e--)t[e]-=t[e-1];f.setByName(e,t)}n.topDict.privateDict=f;const p=new CFFIndex;for(h=0,u=r.length;h0&&e.toUnicode.amen\ -d(t)}class fonts_Glyph{constructor(e,t,a,r,i,n,s,o,c){this.originalCharCode=e;this.fontChar=t;this.unicode=a;this.accent=r;this.width=i;this.vmetric=n;this.operatorListId=s;this.isSpace=o;this.isInFont=c}get category(){return shadow(this,"category",function getCharUnicodeCategory(e){const t=Dr.get(e);if(t)return t;const a=e.match(Mr),r={isWhitespace:!!a?.[1],isZeroWidthDiacritic:!!a?.[2],isInvisibleFormatMark:!!a?.[3]};Dr.set(e,r);return r}(this.unicode),!0)}}function int16(e,t){return(e<<8)+t}f\ -unction writeSignedInt16(e,t,a){e[t+1]=a;e[t]=a>>>8}function signedInt16(e,t){const a=(e<<8)+t;return 32768&a?a-65536:a}function string16(e){return String.fromCharCode(e>>8&255,255&e)}function safeString16(e){e>32767?e=32767:e<-32768&&(e=-32768);return String.fromCharCode(e>>8&255,255&e)}function isTrueTypeCollectionFile(e){return"ttcf"===bytesToString(e.peekBytes(4))}function getFontFileType(e,{type:t,subtype:a,composite:r}){let i,n;if(function isTrueTypeFile(e){const t=e.peekBytes(4);return 65\ -536===readUint32(t,0)||"true"===bytesToString(t)}(e)||isTrueTypeCollectionFile(e))i=r?"CIDFontType2":"TrueType";else if(function isOpenTypeFile(e){return"OTTO"===bytesToString(e.peekBytes(4))}(e))i=r?"CIDFontType2":"OpenType";else if(function isType1File(e){const t=e.peekBytes(2);return 37===t[0]&&33===t[1]||128===t[0]&&1===t[1]}(e))i=r?"CIDFontType0":"MMType1"===t?"MMType1":"Type1";else if(function isCFFFile(e){const t=e.peekBytes(4);return t[0]>=1&&t[3]>=1&&t[3]<=4}(e))if(r){i="CIDFontType0";n\ -="CIDFontType0C"}else{i="MMType1"===t?"MMType1":"Type1";n="Type1C"}else{warn("getFontFileType: Unable to detect correct font file Type/Subtype.");i=t;n=a}return[i,n]}function applyStandardFontGlyphMap(e,t){for(const a in t)e[+a]=t[a]}function buildToFontChar(e,t,a){const r=[];let i;for(let a=0,n=e.length;ah){c++;if(c>=bi.length){warn("Ran out of space in font private use area.");break}l=bi[c][0];h=bi[c][1]}const p=l++;0===g&&(g=a);let m=r.get(f);if("string"==typeof m)if(1===m.length)m=m.codePointAt(0);else{if(!u){u=new Map;for(let e=64256;e<=64335;e++){const t=String.fromCharCode(e).normalize("NFKD");t.length>1&&u.set(t,e)}}m=u.get(m)||m.codePointAt(0)}if(m&&!(d=m,bi[0][0]<=d&&d<=bi[0][1]||bi[1][0]<=d&&d<=bi[1][1])&&!o.has(g)){n.set(m,g);o.add(g)}i[p]=g;s[f]=p}var d;return{to\ -FontChar:s,charCodeToGlyphId:i,toUnicodeExtraMap:n,nextAvailableFontCharCode:l}}function createCmapTable(e,t,a){const r=function getRanges(e,t,a){const r=[];for(const t in e)e[t]>=a||r.push({fontCharCode:0|t,glyphId:e[t]});if(t)for(const[e,i]of t)i>=a||r.push({fontCharCode:e,glyphId:i});0===r.length&&r.push({fontCharCode:0,glyphId:0});r.sort(((e,t)=>e.fontCharCode-t.fontCharCode));const i=[],n=r.length;for(let e=0;e65535?2:1;let n,s,o,c,l="\\0\\0"+string16(i)+"\\0\\0"+string32(4+8*i);for(n=r.length-1;n>=0&&!(r[n][0]<=65535);--n);const h=n+1;r[n][0]<65535&&65535===r[n][1]&&(r[n][1]=65534);const u=r[n][1]<65535?1:0,d=h+u,f=OpenTypeFileBuilder.getSearchParams(d,2);let g,p,m,b,y="",w="",x="",S="",k="",C=0;for(n=0,s=h;n0){w+="ÿÿ";y+="ÿÿ";x+="\\0";S+="\\0\\0"}const v="\\0\\0"+string16(2*d)+string16(f.range)+string16(f.entry)+string16(f.rangeShift)+w+"\\0\\0"+y+x+S+k;let F="",T="";if(i>1){l+="\\0\\0\\n"+string32(4+8*i+4+v.length);F="";for(n=0,s=r.length;ne||!o)&&(o=e);c 123 are reserved for internal usage");s|=1<65535&&(c=65535)}else{o=0;c=255}const h=e.bbox||[0,0,0,0],u=a.unitsPerEm||(e.fontMatrix?1/Math.max(...e.fontMatrix.slice(0,4).map(Math.abs)):1e3),d=e.ascentScaled?1:u/yi,f=a.ascent||Math.round(d*(e.ascent||h[3]));let g=a.descent||Math.round(d*(e.descent||h[1]));g>0&&e.descent>0&&h[1]<0&&(g=-g);const p=a.yMax||f,m=-a.yMin||-g;return"\\0$ô\\0\\0\\0Š»\\0\\0\\0ŒŠ»\\0\\0ß\\x001\\0\\0\\0\ -\\0"+String.fromCharCode(e.fixedPitch?9:0)+"\\0\\0\\0\\0\\0\\0"+string32(r)+string32(i)+string32(n)+string32(s)+"*21*"+string16(e.italicAngle?1:0)+string16(o||e.firstChar)+string16(c||e.lastChar)+string16(f)+string16(g)+"\\0d"+string16(p)+string16(m)+"\\0\\0\\0\\0\\0\\0\\0\\0"+string16(e.xHeight)+string16(e.capHeight)+string16(0)+string16(o||e.firstChar)+"\\0"}function createPostTable(e){return"\\0\\0\\0"+string32(Math.floor(65536*e.italicAngle))+"\\0\\0\\0\\0"+string32(e.fixedPitch?1:0)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\\ -0\\0\\0"}function createPostscriptName(e){return e.replaceAll(/[^\\x21-\\x7E]|[[\\](){}<>/%]/g,"").slice(0,63)}function createNameTable(e,t){t||(t=[[],[]]);const a=[t[0][0]||"Original licence",t[0][1]||e,t[0][2]||"Unknown",t[0][3]||"uniqueID",t[0][4]||e,t[0][5]||"Version 0.11",t[0][6]||createPostscriptName(e),t[0][7]||"Unknown",t[0][8]||"Unknown",t[0][9]||"Unknown"],r=[];let i,n,s,o,c;for(i=0,n=a.length;i0;if((s||o)&&"CIDFontType2"===a&&this.cidEncoding.startsWith("Identity-")){const a=e.cidToGidMap,r=[];applyStandardFontGlyphMap(r,ti());/Arial-?Black/i.test(t)?applyStandardFontGlyphMap(r,ai()):/Calibri/i.test(t)&\ -&applyStandardFontGlyphMap(r,ri());if(a){for(const e in r){const t=r[e];void 0!==a[t]&&(r[+e]=a[t])}a.length!==this.toUnicode.length&&e.hasIncludedToUnicodeMap&&this.toUnicode instanceof IdentityToUnicodeMap&&this.toUnicode.forEach((function(e,t){const i=r[e];void 0===a[i]&&(r[+e]=t)}))}this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(e,t){r[+e]=t}));this.toFontChar=r;this.toUnicode=new ToUnicodeMap(r)}else if(/Symbol/i.test(r))this.toFontChar=buildToFontChar(Cr,F\ -r(),this.differences);else if(/Dingbats/i.test(r))this.toFontChar=buildToFontChar(vr,Ir(),this.differences);else if(s||o){const e=buildToFontChar(this.defaultEncoding,Fr(),this.differences);"CIDFontType2"!==a||this.cidEncoding.startsWith("Identity-")||this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(t,a){e[+t]=a}));this.toFontChar=e}else{const e=Fr(),a=[];this.toUnicode.forEach(((t,r)=>{if(!this.composite){const a=getUnicodeForGlyph(this.differences[t]||this.defau\ -ltEncoding[t],e);-1!==a&&(r=a)}a[+t]=r}));this.composite&&this.toUnicode instanceof IdentityToUnicodeMap&&/Tahoma|Verdana/i.test(t)&&applyStandardFontGlyphMap(a,ti());this.toFontChar=a}amendFallbackToUnicode(e);this.loadedName=r.split("-",1)[0]}checkAndRepair(e,t,a){const r=["OS/2","cmap","head","hhea","hmtx","maxp","name","post","loca","glyf","fpgm","prep","cvt ","CFF "];function readTables(e,t){const a=Object.create(null);a["OS/2"]=null;a.cmap=null;a.head=null;a.hhea=null;a.hmtx=null;a.maxp=nu\ -ll;a.name=null;a.post=null;for(let i=0;i>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0,n=e.pos;e.pos=e.start||0;e.skip(r);const s=e.getBytes(i);e.pos=n;if("head"===t){s[8]=s[9]=s[10]=s[11]=0;s[17]|=32}return{tag:t,checksum:a,length:i,offset:r,data:s}}function readOpenTypeHeader(e){return{version:e.getString(4),numTables:e.getUint16(),searchRange:e\ -.getUint16(),entrySelector:e.getUint16(),rangeShift:e.getUint16()}}function sanitizeGlyph(e,t,a,r,i,n){const s={length:0,sizeOfInstructions:0};if(t<0||t>=e.length||a>e.length||a-t<=12)return s;const o=e.subarray(t,a),c=signedInt16(o[2],o[3]),l=signedInt16(o[4],o[5]),h=signedInt16(o[6],o[7]),u=signedInt16(o[8],o[9]);if(c>h){writeSignedInt16(o,2,h);writeSignedInt16(o,6,c)}if(l>u){writeSignedInt16(o,4,u);writeSignedInt16(o,8,l)}const d=signedInt16(o[0],o[1]);if(d<0){if(d<-1)return s;r.set(o,i);s.le\ -ngth=o.length;return s}let f,g=10,p=0;for(f=0;fo.length)return s;if(!n&&b>0){r.set(o.subarray(0,m),i);r.set([0,0],i+m);r.set(o.subarray(y,x),i+m+2);x-=b;o.length-x>3&&(x=x+3&-4)\ -;s.length=x;return s}if(o.length-x>3){x=x+3&-4;r.set(o.subarray(0,x),i);s.length=x;return s}r.set(o,i);s.length=o.length;return s}function readNameTable(e){const a=(t.start||0)+e.offset;t.pos=a;const r=[[],[]],i=[],n=e.length,s=a+n;if(0!==t.getUint16()||n<6)return[r,i];const o=t.getUint16(),c=t.getUint16();let l,h;for(l=0;ls)continue;t.pos=n;const o=e.name;if(e.encoding){let a="";for(let r=0,i=e.length;r0&&(l+=e-1)}}else{if(m||y){warn("TT: nested FDEFs not allowed");p=!0}m=!0;u=l;s=d.pop();t.functionsDefined[s]={data:c,i:l}}else if(!m&&!y){s=d.at(-1);if(isNaN(s))info("TT: CALL empty stack (or invalid entry).");else{t.functionsUsed[s]=!0;if(s in t.functionsStackDeltas){const e=d.length+t.functionsStackDeltas[s];if(e<0){warn("TT: CALL invalid function\ -s stack delta.");t.hintsValid=!1;return}d.length=e}else if(s in t.functionsDefined&&!g.includes(s)){f.push({data:c,i:l,stackTop:d.length-1});g.push(s);o=t.functionsDefined[s];if(!o){warn("TT: CALL non-existent function");t.hintsValid=!1;return}c=o.data;l=o.i}}}if(!m&&!y){let t=0;e<=142?t=i[e]:e>=192&&e<=223?t=-1:e>=224&&(t=-2);if(e>=113&&e<=117){r=d.pop();isNaN(r)||(t=2*-r)}for(;t<0&&d.length>0;){d.pop();t++}for(;t>0;){d.push(NaN);t--}}}t.tooComplexToFollowFunctions=p;const w=[c];l>c.length&&w.p\ -ush(new Uint8Array(l-c.length));if(u>h){warn("TT: complementing a missing function tail");w.push(new Uint8Array([34,45]))}!function foldTTTable(e,t){if(t.length>1){let a,r,i=0;for(a=0,r=t.length;a>>0,n=[];for(let t=0;t>>0);const s={ttcTag:t,majorVersion:a,minorVersion:r,numFonts:i,offsetTable:n};switch(a){case 1:return s;case 2:s.dsigTag=e.getInt32()>>>0;s.dsigLength=e.getInt32()>>>0;s.dsigOffset=e.getInt32()>>>0;return s}throw new FormatError(`Invalid TrueType Collection majorVe\ -rsion: ${a}.`)}(e),i=t.split("+");let n;for(let s=0;s0||!(a.cMap instanceof IdentityCMap));if("OTTO"===n.version&&!t||!s.head||!s.hhea||!s.maxp||!s.post){c=new Stream(s["CFF "].data);o=new CFFFont(c,a);return this.convert(e,o,a)}delete s.glyf;delete s.loca;delete s.fpgm;delete s.prep;delete s["cvt "];this.isOpenType=!0}if(!s.maxp)throw new FormatError(\'Required "maxp" table is not found\');t.pos=(t.start||0)+s.maxp.offset;let h=t.getInt32();const u=t.getUint16();if(655\ -36!==h&&20480!==h){if(6===s.maxp.length)h=20480;else{if(!(s.maxp.length>=32))throw new FormatError(\'"maxp" table has a wrong version number\');h=65536}!function writeUint32(e,t,a){e[t+3]=255&a;e[t+2]=a>>>8;e[t+1]=a>>>16;e[t]=a>>>24}(s.maxp.data,0,h)}if(a.scaleFactors?.length===u&&l){const{scaleFactors:e}=a,t=int16(s.head.data[50],s.head.data[51]),r=new GlyfTable({glyfTable:s.glyf.data,isGlyphLocationsLong:t,locaTable:s.loca.data,numGlyphs:u});r.scale(e);const{glyf:i,loca:n,isLocationLong:o}=r.wri\ -te();s.glyf.data=i;s.loca.data=n;if(o!==!!t){s.head.data[50]=0;s.head.data[51]=o?1:0}const c=s.hmtx.data;for(let t=0;t>8&255;c[a+1]=255&r;writeSignedInt16(c,a+2,Math.round(e[t]*signedInt16(c[a+2],c[a+3])))}}let d=u+1,f=!0;if(d>65535){f=!1;d=u;warn("Not enough space in glyfs to duplicate first glyph.")}let g=0,p=0;if(h>=65536&&s.maxp.length>=32){t.pos+=8;if(t.getUint16()>2){s.maxp.data[14]=0;s.maxp.data[15]=2}t.pos+=4;g=t.getUint16(\ -);t.pos+=4;p=t.getUint16()}s.maxp.data[4]=d>>8;s.maxp.data[5]=255&d;const m=function sanitizeTTPrograms(e,t,a,r){const i={functionsDefined:[],functionsUsed:[],functionsStackDeltas:[],tooComplexToFollowFunctions:!1,hintsValid:!0};e&&sanitizeTTProgram(e,i);t&&sanitizeTTProgram(t,i);e&&function checkInvalidFunctions(e,t){if(!e.tooComplexToFollowFunctions)if(e.functionsDefined.length>t){warn("TT: more functions defined than expected");e.hintsValid=!1}else for(let a=0,r=e.functionsUsed.length;at){warn("TT: invalid function id: "+a);e.hintsValid=!1;return}if(e.functionsUsed[a]&&!e.functionsDefined[a]){warn("TT: undefined function: "+a);e.hintsValid=!1;return}}}(i,r);if(a&&1&a.length){const e=new Uint8Array(a.length+1);e.set(a.data);a.data=e}return i.hintsValid}(s.fpgm,s.prep,s["cvt "],g);if(!m){delete s.fpgm;delete s.prep;delete s["cvt "]}!function sanitizeMetrics(e,t,a,r,i,n){if(!t){a&&(a.data=null);return}e.pos=(e.start||0)+t.offset;e.pos+=4;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2\ -;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;const s=e.getUint16();e.pos+=8;e.pos+=2;let o=e.getUint16();if(0!==s){if(!(2&int16(r.data[44],r.data[45]))){t.data[22]=0;t.data[23]=0}}if(o>i){info(`The numOfMetrics (${o}) should not be greater than the numGlyphs (${i}).`);o=i;t.data[34]=(65280&o)>>8;t.data[35]=255&o}const c=i-o-(a.length-4*o>>1);if(c>0){const e=new Uint8Array(a.length+2*c);e.set(a.data);if(n){e[a.length]=a.data[2];e[a.length+1]=a.data[3]}a.data=e}}(t,s.hhea,s.hmtx,s.head,d,f);if(!s\ -.head)throw new FormatError(\'Required "head" table is not found\');!function sanitizeHead(e,t,a){const r=e.data,i=function int32(e,t,a,r){return(e<<24)+(t<<16)+(a<<8)+r}(r[0],r[1],r[2],r[3]);if(i>>16!=1){info("Attempting to fix invalid version in head table: "+i);r[0]=0;r[1]=1;r[2]=0;r[3]=0}const n=int16(r[50],r[51]);if(n<0||n>1){info("Attempting to fix invalid indexToLocFormat in head table: "+n);const e=t+1;if(a===e<<1){r[50]=0;r[51]=0}else{if(a!==e<<2)throw new FormatError("Could not fix index\ -ToLocFormat: "+n);r[50]=0;r[51]=1}}}(s.head,u,l?s.loca.length:0);let b=Object.create(null);if(l){const e=int16(s.head.data[50],s.head.data[51]),t=function sanitizeGlyphLocations(e,t,a,r,i,n,s){let o,c,l;if(r){o=4;c=function fontItemDecodeLong(e,t){return e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3]};l=function fontItemEncodeLong(e,t,a){e[t]=a>>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}}else{o=2;c=function fontItemDecode(e,t){return e[t]<<9|e[t+1]<<1};l=function fontItemEncode(e,t,a){e[t]=a>>\ -9&255;e[t+1]=a>>1&255}}const h=n?a+1:a,u=o*(1+h),d=new Uint8Array(u);d.set(e.data.subarray(0,u));e.data=d;const f=t.data,g=f.length,p=new Uint8Array(g);let m,b;const y=[];for(m=0,b=0;mg&&(e=g);y.push({index:m,offset:e,endOffset:0})}y.sort(((e,t)=>e.offset-t.offset));for(m=0;me.index-t.index));for(m=0;ms&&(s=e.sizeOfInstructions);S+=t;l(d,b,S)}if(0===S){const e=new Uint8Array([0,1,0,0,0,0,0,0,0,0,0,0,0,0,49,0]);for(m=0,b=o;ma+S)t.data=p.subarray(0,a+S);else{t.data=new Uint8Array(\ -a+S);t.data.set(p.subarray(0,S))}t.data.set(p.subarray(0,a),S);l(e.data,d.length-o,S+a)}else t.data=p.subarray(0,S);return{missingGlyphs:x,maxSizeOfInstructions:s}}(s.loca,s.glyf,u,e,m,f,p);b=t.missingGlyphs;if(h>=65536&&s.maxp.length>=32){s.maxp.data[26]=t.maxSizeOfInstructions>>8;s.maxp.data[27]=255&t.maxSizeOfInstructions}}if(!s.hhea)throw new FormatError(\'Required "hhea" table is not found\');if(0===s.hhea.data[10]&&0===s.hhea.data[11]){s.hhea.data[10]=255;s.hhea.data[11]=255}const y={unitsPe\ -rEm:int16(s.head.data[18],s.head.data[19]),yMax:signedInt16(s.head.data[42],s.head.data[43]),yMin:signedInt16(s.head.data[38],s.head.data[39]),ascent:signedInt16(s.hhea.data[4],s.hhea.data[5]),descent:signedInt16(s.hhea.data[6],s.hhea.data[7]),lineGap:signedInt16(s.hhea.data[8],s.hhea.data[9])};this.ascent=y.ascent/y.unitsPerEm;this.descent=y.descent/y.unitsPerEm;this.lineGap=y.lineGap/y.unitsPerEm;if(this.cssFontInfo?.lineHeight){this.lineHeight=this.cssFontInfo.metrics.lineHeight;this.lineGap=\ -this.cssFontInfo.metrics.lineGap}else this.lineHeight=this.ascent-this.descent+this.lineGap;s.post&&function readPostScriptTable(e,a,r){const i=(t.start||0)+e.offset;t.pos=i;const n=i+e.length,s=t.getInt32();t.skip(28);let o,c,l=!0;switch(s){case 65536:o=jr;break;case 131072:const e=t.getUint16();if(e!==r){l=!1;break}const i=[];for(c=0;c=32768){l=!1;break}i.push(e)}if(!l)break;const h=[],u=[];for(;t.pos65535)throw new FormatError("Max size of CID is 65,535");let i=-1;t?i=r:void 0!==e[r]&&(i=e[r]);i>=0&&i>>0;let h=!1;if(o?.platformId!=\ -=i||o?.encodingId!==n){if(0!==i||0!==n&&1!==n&&3!==n)if(1===i&&0===n)h=!0;else if(3!==i||1!==n||!r&&o){if(a&&3===i&&0===n){h=!0;let a=!0;if(e>3;e.push(r);a=Math.max(r,a)}const r=[];for(let e=0;e<=a;e++)r.push({firstCode:t.getUint16(),entryCount:t.getUint16(),idDelta:signedInt16(t.getByte(),t.getByte()),idRangePos:t.pos+t.getUint16()});for(let a=0;a<256;a++)if(0===e[a]){t.pos=r[0].idRangePos+2*a;f=t.getUint16();u.push({charCode:a,glyphId:f})}else{c\ -onst i=r[e[a]];for(d=0;d>1;t.skip(6);const a=[];let r;for(r=0;r>1)-(e-r);i.offsetIndex=s;o=Math.max(o,s+i.en\ -d-i.start+1)}else i.offsetIndex=-1}const c=[];for(d=0;d>>0;for(d=0;d>>0,a=t.getInt32()>>>0;let r=t.getInt32()>>>0;for(let t=e;t<=a;t++)u.push({charCode:t,glyphId:r++})}}}u.sort(((e,t)=>e.charCode-t.charCode));const g=[],p=new Set;for(const e of u){const{charCode:t}=e;if(!p.has(t)){p.add(t);g.push(e)}}return{platformId:o.platformId,encodingId:o.encodingId,mappings:g,hasShortCmap:h}}(s.cmap,t,this.isSymbolicFont,a.hasEncoding),r=e.platformId,i=e.encodingId,n=e.mappings;let \ -o=[],c=!1;!a.hasEncoding||"MacRomanEncoding"!==a.baseEncodingName&&"WinAnsiEncoding"!==a.baseEncodingName||(o=getEncoding(a.baseEncodingName));if(a.hasEncoding&&!this.isSymbolicFont&&(3===r&&1===i||1===r&&0===i)){const e=Fr();for(let t=0;t<256;t++){let s;s=void 0!==this.differences[t]?this.differences[t]:o.length&&""!==o[t]?o[t]:Ar[t];if(!s)continue;const c=recoverGlyphName(s,e);let l;3===r&&1===i?l=e[c]:1===r&&0===i&&(l=Sr.indexOf(c));if(void 0===l){if(!a.glyphNames&&a.hasIncludedToUnicodeMap&&\ -!(this.toUnicode instanceof IdentityToUnicodeMap)){const e=this.toUnicode.get(t);e&&(l=e.codePointAt(0))}if(void 0===l)continue}for(const e of n)if(e.charCode===l){w[t]=e.glyphId;break}}}else if(0===r){for(const e of n)w[e.charCode]=e.glyphId;c=!0}else if(3===r&&0===i)for(const e of n){let t=e.charCode;t>=61440&&t<=61695&&(t&=255);w[t]=e.glyphId}else for(const e of n)w[e.charCode]=e.glyphId;if(a.glyphNames&&(o.length||this.differences.length))for(let e=0;e<256;++e){if(!c&&void 0!==w[e])continue;\ -const t=this.differences[e]||o[e];if(!t)continue;const r=a.glyphNames.indexOf(t);r>0&&hasGlyph(r)&&(w[e]=r)}}0===w.length&&(w[0]=0);let x=d-1;f||(x=0);if(!a.cssFontInfo){const e=adjustMapping(w,hasGlyph,x,this.toUnicode);this.toFontChar=e.toFontChar;s.cmap={tag:"cmap",data:createCmapTable(e.charCodeToGlyphId,e.toUnicodeExtraMap,d)};s["OS/2"]&&function validateOS2Table(e,t){t.pos=(t.start||0)+e.offset;const a=t.getUint16();t.skip(60);const r=t.getUint16();if(a<4&&768&r)return!1;if(t.getUint16()>t\ -.getUint16())return!1;t.skip(6);if(0===t.getUint16())return!1;e.data[8]=e.data[9]=0;return!0}(s["OS/2"],t)||(s["OS/2"]={tag:"OS/2",data:createOS2Table(a,e.charCodeToGlyphId,y)})}if(!l)try{c=new Stream(s["CFF "].data);o=new CFFParser(c,a,Rr).parse();o.duplicateFirstGlyph();const e=new CFFCompiler(o);s["CFF "].data=e.compile()}catch{warn("Failed to compile font "+a.loadedName)}if(s.name){const[t,r]=readNameTable(s.name);s.name.data=createNameTable(e,t);this.psName=t[0][6]||null;a.composite||functi\ -on adjustTrueTypeToUnicode(e,t,a){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(e.hasEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;if(!t)return;if(0===a.length)return;if(e.defaultEncoding===kr)return;for(const e of a)if(!isWinNameRecord(e))return;const r=kr,i=[],n=Fr();for(const e in r){const t=r[e];if(""===t)continue;const a=n[t];void 0!==a&&(i[e]=String.fromCharCode(a))}i.length>0&&e.toUnicode.amend(i)}(a,this.isSymbolicFont,r)}else s.name={tag:"name\ -",data:createNameTable(this.name)};const S=new OpenTypeFileBuilder(n.version);for(const e in s)S.addTable(e,s[e].data);return S.toArray()}convert(e,a,r){r.fixedPitch=!1;r.builtInEncoding&&function adjustType1ToUnicode(e,t){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(t===e.defaultEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;const a=[],r=Fr();for(const i in t){if(e.hasEncoding&&(e.baseEncodingName||void 0!==e.differences[i]))continue;const n=getUnicod\ -eForGlyph(t[i],r);-1!==n&&(a[i]=String.fromCharCode(n))}a.length>0&&e.toUnicode.amend(a)}(r,r.builtInEncoding);let i=1;a instanceof CFFFont&&(i=a.numGlyphs-1);const n=a.getGlyphMapping(r);let s=null,o=n,c=null;if(!r.cssFontInfo){s=adjustMapping(n,a.hasGlyphId.bind(a),i,this.toUnicode);this.toFontChar=s.toFontChar;o=s.charCodeToGlyphId;c=s.toUnicodeExtraMap}const l=a.numGlyphs;function getCharCodes(e,t){let a=null;for(const r in e)t===e[r]&&(a||=[]).push(0|r);return a}function createCharCode(e,t)\ -{for(const a in e)if(t===e[a])return 0|a;s.charCodeToGlyphId[s.nextAvailableFontCharCode]=t;return s.nextAvailableFontCharCode++}const h=a.seacs;if(s&&h?.length){const e=r.fontMatrix||t,i=a.getCharset(),o=Object.create(null);for(let t in h){t|=0;const a=h[t],r=Ar[a[2]],c=Ar[a[3]],l=i.indexOf(r),u=i.indexOf(c);if(l<0||u<0)continue;const d={x:a[0]*e[0]+a[1]*e[2]+e[4],y:a[0]*e[1]+a[1]*e[3]+e[5]},f=getCharCodes(n,t);if(f)for(const e of f){const t=s.charCodeToGlyphId,a=createCharCode(t,l),r=createCha\ -rCode(t,u);o[e]={baseFontCharCode:a,accentFontCharCode:r,accentOffset:d}}}r.seacMap=o}const u=r.fontMatrix?1/Math.max(...r.fontMatrix.slice(0,4).map(Math.abs)):1e3,d=new OpenTypeFileBuilder("OTTO");d.addTable("CFF ",a.data);d.addTable("OS/2",createOS2Table(r,o));d.addTable("cmap",createCmapTable(o,c,l));d.addTable("head","\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0_<õ\\0\\0"+safeString16(u)+"\\0\\0\\0\\0ž\\v~\'\\0\\0\\0\\0ž\\v~\'\\0\\0"+safeString16(r.descent)+"ÿ"+safeString16(r.ascent)+string16(r.italicAngle?2:0)+"\\0\\0\\0\\0\\0\\0\\\ -0");d.addTable("hhea","\\0\\0\\0"+safeString16(r.ascent)+safeString16(r.descent)+"\\0\\0ÿÿ\\0\\0\\0\\0\\0\\0"+safeString16(r.capHeight)+safeString16(Math.tan(r.italicAngle)*r.xHeight)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"+string16(l));d.addTable("hmtx",function fontFieldsHmtx(){const e=a.charstrings,t=a.cff?a.cff.widths:null;let r="\\0\\0\\0\\0";for(let a=1,i=l;a=65520&&e<=65535?0:e>=62976&&e<=63743?Tr()[e]||e:173===e?45:e}(a)}this.isType3Font&&(i=a);let h=null;if(this.seacMap?.[e]){l=!0;const t=this.seacMap[e];a=t.baseFontCharCode;h={fontChar:String.fromCodePoint(t.accentFontCharCode),offset:t.accentOffset}}let u="";"number"==typeof a&&(a<=1114111?u=String.fromCodePoint(a):warn(`charToGlyph - invalid \ -fontCharCode: ${a}`));if(this.missingFile&&this.vertical&&1===u.length){const e=_r()[u.charCodeAt(0)];e&&(u=c=String.fromCharCode(e))}n=new fonts_Glyph(e,u,c,h,r,o,i,t,l);return this._glyphCache[e]=n}charsToGlyphs(e){let t=this._charsCache[e];if(t)return t;t=[];if(this.cMap){const a=Object.create(null),r=e.length;let i=0;for(;it.length%2==1,r=this.toUnicode instanceof IdentityToUni\ -codeMap?e=>this.toUnicode.charCodeOf(e):e=>this.toUnicode.charCodeOf(String.fromCodePoint(e));for(let i=0,n=e.length;i55295&&(n<57344||n>65533)&&i++;if(this.toUnicode){const e=r(n);if(-1!==e){if(hasCurrentBufErrors()){t.push(a.join(""));a.length=0}for(let t=(this.cMap?this.cMap.getCharCodeLength(e):1)-1;t>=0;t--)a.push(String.fromCharCode(e>>8*t&255));continue}}if(!hasCurrentBufErrors()){t.push(a.join(""));a.length=0}a.push(String.fromCodePoint(n))}t.push(a.joi\ -n(""));return t}}class ErrorFont{constructor(e){this.error=e;this.loadedName="g_font_error";this.missingFile=!0}charsToGlyphs(){return[]}encodeString(e){return[e]}exportData(){return{error:this.error}}}const Si=2,Ai=3,ki=4,Ci=5,vi=6,Fi=7;class Pattern{constructor(){unreachable("Cannot initialize Pattern.")}static parseShading(e,t,a,r,i,n){const s=e instanceof BaseStream?e.dict:e,o=s.get("ShadingType");try{switch(o){case Si:case Ai:return new RadialAxialShading(s,t,a,r,i,n);case ki:case Ci:case v\ -i:case Fi:return new MeshShading(e,t,a,r,i,n);default:throw new FormatError("Unsupported ShadingType: "+o)}}catch(e){if(e instanceof MissingDataException)throw e;warn(e);return new DummyShading}}}class BaseShading{static SMALL_NUMBER=1e-6;getIR(){unreachable("Abstract method `getIR` called.")}}class RadialAxialShading extends BaseShading{constructor(e,t,a,r,i,n){super();this.shadingType=e.get("ShadingType");let s=0;this.shadingType===Si?s=4:this.shadingType===Ai&&(s=6);this.coordsArr=e.getArray(\ -"Coords");if(!isNumberArray(this.coordsArr,s))throw new FormatError("RadialAxialShading: Invalid /Coords array.");const o=ColorSpaceUtils.parse({cs:e.getRaw("CS")||e.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.bbox=lookupNormalRect(e.getArray("BBox"),null);let c=0,l=1;const h=e.getArray("Domain");isNumberArray(h,2)&&([c,l]=h);let u=!1,d=!1;const f=e.getArray("Extend");(function isBooleanArray(e,t){return Array.isArray(e)&&(nu\ -ll===t||e.length===t)&&e.every((e=>"boolean"==typeof e))})(f,2)&&([u,d]=f);if(!(this.shadingType!==Ai||u&&d)){const[e,t,a,r,i,n]=this.coordsArr,s=Math.hypot(e-r,t-i);a<=n+s&&n<=a+s&&warn("Unsupported radial gradient.")}this.extendStart=u;this.extendEnd=d;const g=e.getRaw("Function"),p=r.create(g,!0),m=(l-c)/840,b=this.colorStops=[];if(c>=l||m<=0){info("Bad shading domain.");return}const y=new Float32Array(o.numComps),w=new Float32Array(1);let x=0;w[0]=c;p(w,0,y,0);const S=new Uint8ClampedArray(3\ -);o.getRgb(y,0,S);let[k,C,v]=S;b.push([0,Util.makeHexColor(k,C,v)]);let F=1;w[0]=c+m;p(w,0,y,0);o.getRgb(y,0,S);let[T,O,M]=S,D=T-k+1,R=O-C+1,N=M-v+1,E=T-k-1,L=O-C-1,j=M-v-1;for(let e=2;e<840;e++){w[0]=c+e*m;p(w,0,y,0);o.getRgb(y,0,S);const[t,a,r]=S,i=e-x;D=Math.min(D,(t-k+1)/i);R=Math.min(R,(a-C+1)/i);N=Math.min(N,(r-v+1)/i);E=Math.max(E,(t-k-1)/i);L=Math.max(L,(a-C-1)/i);j=Math.max(j,(r-v-1)/i);if(!(E<=D&&L<=R&&j<=N)){const e=Util.makeHexColor(T,O,M);b.push([F/840,e]);D=t-T+1;R=a-O+1;N=r-M+1;E=\ -t-T-1;L=a-O-1;j=r-M-1;x=F;k=T;C=O;v=M}F=e;T=t;O=a;M=r}b.push([1,Util.makeHexColor(T,O,M)]);let _="transparent";e.has("Background")&&(_=o.getRgbHex(e.get("Background"),0));if(!u){b.unshift([0,_]);b[1][0]+=BaseShading.SMALL_NUMBER}if(!d){b.at(-1)[0]-=BaseShading.SMALL_NUMBER;b.push([1,_])}this.colorStops=b}getIR(){const{coordsArr:e,shadingType:t}=this;let a,r,i,n,s;if(t===Si){r=[e[0],e[1]];i=[e[2],e[3]];n=null;s=null;a="axial"}else if(t===Ai){r=[e[0],e[1]];i=[e[3],e[4]];n=e[2];s=e[5];a="radial"}el\ -se unreachable(`getPattern type unknown: ${t}`);return["RadialAxial",a,this.bbox,this.colorStops,r,i,n,s]}}class MeshStreamReader{constructor(e,t){this.stream=e;this.context=t;this.buffer=0;this.bufferLength=0;const a=t.numComps;this.tmpCompsBuf=new Float32Array(a);const r=t.colorSpace.numComps;this.tmpCsCompsBuf=t.colorFn?new Float32Array(r):this.tmpCompsBuf}get hasData(){if(this.stream.end)return this.stream.pos0)return!0;const e=this.stream.getByte();if(e\ -<0)return!1;this.buffer=e;this.bufferLength=8;return!0}readBits(e){const{stream:t}=this;let{buffer:a,bufferLength:r}=this;if(32===e){if(0===r)return t.getInt32()>>>0;a=a<<24|t.getByte()<<16|t.getByte()<<8|t.getByte();const e=t.getByte();this.buffer=e&(1<>r)>>>0}if(8===e&&0===r)return t.getByte();for(;r>r}align(){this.buffer=0;this.bufferLength=0}readFlag(){return this.readBits(this.c\ -ontext.bitsPerFlag)}readCoordinate(){const{bitsPerCoordinate:e,decode:t}=this.context,a=this.readBits(e),r=this.readBits(e),i=e<32?1/((1<n?n:e;t=t>s?s:t;a=ae*i[t])):a;let s,o=-2;const c=[];for(const[e,t]of r.map(((e,t)=>[e,t])).sort((([e],[t])=>e-t)))if(-1!==e)if(e===o+1){s.push(n[t]);\ -o+=1}else{o=e;s=[n[t]];c.push(e,s)}return c}(e),a=new Dict(null);a.set("BaseFont",Name.get(e));a.set("Type",Name.get("Font"));a.set("Subtype",Name.get("CIDFontType2"));a.set("Encoding",Name.get("Identity-H"));a.set("CIDToGIDMap",Name.get("Identity"));a.set("W",t);a.set("FirstChar",t[0]);a.set("LastChar",t.at(-2)+t.at(-1).length-1);const r=new Dict(null);a.set("FontDescriptor",r);const i=new Dict(null);i.set("Ordering","Identity");i.set("Registry","Adobe");i.set("Supplement",0);a.set("CIDSystemIn\ -fo",i);return a}class PostScriptParser{constructor(e){this.lexer=e;this.operators=[];this.token=null;this.prev=null}nextToken(){this.prev=this.token;this.token=this.lexer.getToken()}accept(e){if(this.token.type===e){this.nextToken();return!0}return!1}expect(e){if(this.accept(e))return!0;throw new FormatError(`Unexpected symbol: found ${this.token.type} expected ${e}.`)}parse(){this.nextToken();this.expect(yn.LBRACE);this.parseBlock();this.expect(yn.RBRACE);return this.operators}parseBlock(){for(\ -;;)if(this.accept(yn.NUMBER))this.operators.push(this.prev.value);else if(this.accept(yn.OPERATOR))this.operators.push(this.prev.value);else{if(!this.accept(yn.LBRACE))return;this.parseCondition()}}parseCondition(){const e=this.operators.length;this.operators.push(null,null);this.parseBlock();this.expect(yn.RBRACE);if(this.accept(yn.IF)){this.operators[e]=this.operators.length;this.operators[e+1]="jz"}else{if(!this.accept(yn.LBRACE))throw new FormatError("PS Function: error parsing conditional."\ -);{const t=this.operators.length;this.operators.push(null,null);const a=this.operators.length;this.parseBlock();this.expect(yn.RBRACE);this.expect(yn.IFELSE);this.operators[t]=this.operators.length;this.operators[t+1]="j";this.operators[e]=a;this.operators[e+1]="jz"}}}}const yn={LBRACE:0,RBRACE:1,NUMBER:2,OPERATOR:3,IF:4,IFELSE:5};class PostScriptToken{static get opCache(){return shadow(this,"opCache",Object.create(null))}constructor(e,t){this.type=e;this.value=t}static getOperator(e){return Pos\ -tScriptToken.opCache[e]||=new PostScriptToken(yn.OPERATOR,e)}static get LBRACE(){return shadow(this,"LBRACE",new PostScriptToken(yn.LBRACE,"{"))}static get RBRACE(){return shadow(this,"RBRACE",new PostScriptToken(yn.RBRACE,"}"))}static get IF(){return shadow(this,"IF",new PostScriptToken(yn.IF,"IF"))}static get IFELSE(){return shadow(this,"IFELSE",new PostScriptToken(yn.IFELSE,"IFELSE"))}}class PostScriptLexer{constructor(e){this.stream=e;this.nextChar();this.strBuf=[]}nextChar(){return this.cur\ -rentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return new PostScriptToken(yn.NUMBER,this.getNumber());case 123:this.nextChar();return PostScriptToken.LBRACE;case 125:this.nextChar();return PostScriptToken.RBRACE}const a=this.strBuf;a.lengt\ -h=0;a[0]=String.fromCharCode(t);for(;(t=this.nextChar())>=0&&(t>=65&&t<=90||t>=97&&t<=122);)a.push(String.fromCharCode(t));const r=a.join("");switch(r.toLowerCase()){case"if":return PostScriptToken.IF;case"ifelse":return PostScriptToken.IFELSE;default:return PostScriptToken.getOperator(r)}}getNumber(){let e=this.currentChar;const t=this.strBuf;t.length=0;t[0]=String.fromCharCode(e);for(;(e=this.nextChar())>=0&&(e>=48&&e<=57||45===e||46===e);)t.push(String.fromCharCode(e));const a=parseFloat(t.jo\ -in(""));if(isNaN(a))throw new FormatError(`Invalid floating point number: ${a}`);return a}}class BaseLocalCache{constructor(e){this._onlyRefs=!0===e?.onlyRefs;if(!this._onlyRefs){this._nameRefMap=new Map;this._imageMap=new Map}this._imageCache=new RefSetCache}getByName(e){this._onlyRefs&&unreachable("Should not call `getByName` method.");const t=this._nameRefMap.get(e);return t?this.getByRef(t):this._imageMap.get(e)||null}getByRef(e){return this._imageCache.get(e)||null}set(e,t,a){unreachable("A\ -bstract method `set` called.")}}class LocalImageCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalImageCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalColorSpaceCache extends BaseLocalCache{set(e=null,t=null,a){if("string"!=typeof e&&!t)throw new Error(\'LocalColorSpaceCache.set - expected "name" and/or "ref" arg\ -ument.\');if(t){if(this._imageCache.has(t))return;null!==e&&this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalFunctionCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalFunctionCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class LocalGStateCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalGSt\ -ateCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalTilingPatternCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalTilingPatternCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class RegionalImageCache extends BaseLocalCache{constructor(e){super({onlyR\ -efs:!0})}set(e=null,t,a){if(!t)throw new Error(\'RegionalImageCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class GlobalColorSpaceCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'GlobalColorSpaceCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}clear(){this._imageCache.clear()}}class GlobalImageCache{static NUM_PAGES_THRESHOLD=2;static MIN_IMAGES_TO_CACHE=10;\ -static MAX_BYTE_SIZE=5e7;#H=new RefSet;constructor(){this._refCache=new RefSetCache;this._imageCache=new RefSetCache}get#W(){let e=0;for(const t of this._imageCache)e+=t.byteSize;return e}get#z(){return!(this._imageCache.size+e)):null}class PDFFunction{static getSampleArray(e,t,a,r){let i,n,s=1;for(i=0,n=e.length;i>c)*h;l&=(1<0&&(d=n[u-1]);let f=a[1];u>1,c=r.length>>1,l=new PostScriptEvaluator(s),h=Object.create(null);let u=8192;const d=new Float32Array(c);return function c\ -onstructPostScriptFn(e,t,a,r){let n,s,f="";const g=d;for(n=0;ne&&(s=e)}m[n]=s}if(u>0){u--;h[f]=m}a.set(m,r)}}}function isPDFFunction(e){let t;if(e instanceof Dict)t=e;else{if(!(e instanceof BaseStream))return!1;t=e.dict}return t.has("FunctionType")}class PostScriptStack{static MAX_STACK_SIZE=100;\ -constructor(e){this.stack=e?Array.from(e):[]}push(e){if(this.stack.length>=PostScriptStack.MAX_STACK_SIZE)throw new Error("PostScript function stack overflow.");this.stack.push(e)}pop(){if(this.stack.length<=0)throw new Error("PostScript function stack underflow.");return this.stack.pop()}copy(e){if(this.stack.length+e>=PostScriptStack.MAX_STACK_SIZE)throw new Error("PostScript function stack overflow.");const t=this.stack;for(let a=t.length-e,r=e-1;r>=0;r--,a++)t.push(t[a])}index(e){this.push(t\ -his.stack[this.stack.length-e-1])}roll(e,t){const a=this.stack,r=a.length-e,i=a.length-1,n=r+(t-Math.floor(t/e)*e);for(let e=r,t=i;e0?t.push(s<>o);break;case"ceiling":s=t.pop();t.push(Math.ceil(s));break;case"copy":s=t.pop(\ -);t.copy(s);break;case"cos":s=t.pop();t.push(Math.cos(s%360/180*Math.PI));break;case"cvi":s=0|t.pop();t.push(s);break;case"cvr":break;case"div":o=t.pop();s=t.pop();t.push(s/o);break;case"dup":t.copy(1);break;case"eq":o=t.pop();s=t.pop();t.push(s===o);break;case"exch":t.roll(2,1);break;case"exp":o=t.pop();s=t.pop();t.push(s**o);break;case"false":t.push(!1);break;case"floor":s=t.pop();t.push(Math.floor(s));break;case"ge":o=t.pop();s=t.pop();t.push(s>=o);break;case"gt":o=t.pop();s=t.pop();t.push(s>\ -o);break;case"idiv":o=t.pop();s=t.pop();t.push(s/o|0);break;case"index":s=t.pop();t.index(s);break;case"le":o=t.pop();s=t.pop();t.push(s<=o);break;case"ln":s=t.pop();t.push(Math.log(s));break;case"log":s=t.pop();t.push(Math.log10(s));break;case"lt":o=t.pop();s=t.pop();t.push(s=t?new AstLiteral(t):e.max<=t?e:new AstMin(e,t)}class PostScriptCompiler{compile(e,t,a){const r=[],i=[],n=t.length>>1,s=a.length>>1;let o,c,l,h,u,d,f,g,p=0;for(let\ - e=0;et.min){o.unshift("Math.max(",n,", ");o.push(")")}if(s4){r=!0;t=0}else{r=!1;t=1}const c=[];for(n=0;n=0&&"ET"===An[e];--e)An[e]="EN";for(let e=n+1;e0&&(t=An[n-1]);let a=u;e+1g&&isOdd(g)&&(m=g)}for(g=p;g>=m;--g){let e=-1;for(n=0,s=c.length;n=0){reverseValues(Sn,e,n);e=-1}}else e<0&&(e=n);e>=0&&reverseValues(Sn,e,c.length)}for(n=0,s=Sn.length;n"!==e||(Sn[n]="")}return createBidiText(Sn.join(""),r)}const kn={style:"normal",weight:"normal"},Cn={style:"normal",weight:"bold"},vn={style:"italic",weight:"normal"},Fn={style:"italic",we\ -ight:"bold"},In=new Map([["Times-Roman",{local:["Times New Roman","Times-Roman","Times","Liberation Serif","Nimbus Roman","Nimbus Roman L","Tinos","Thorndale","TeX Gyre Termes","FreeSerif","Linux Libertine O","Libertinus Serif","DejaVu Serif","Bitstream Vera Serif","Ubuntu"],style:kn,ultimate:"serif"}],["Times-Bold",{alias:"Times-Roman",style:Cn,ultimate:"serif"}],["Times-Italic",{alias:"Times-Roman",style:vn,ultimate:"serif"}],["Times-BoldItalic",{alias:"Times-Roman",style:Fn,ultimate:"serif"}]\ -,["Helvetica",{local:["Helvetica","Helvetica Neue","Arial","Arial Nova","Liberation Sans","Arimo","Nimbus Sans","Nimbus Sans L","A030","TeX Gyre Heros","FreeSans","DejaVu Sans","Albany","Bitstream Vera Sans","Arial Unicode MS","Microsoft Sans Serif","Apple Symbols","Cantarell"],path:"LiberationSans-Regular.ttf",style:kn,ultimate:"sans-serif"}],["Helvetica-Bold",{alias:"Helvetica",path:"LiberationSans-Bold.ttf",style:Cn,ultimate:"sans-serif"}],["Helvetica-Oblique",{alias:"Helvetica",path:"Liberat\ -ionSans-Italic.ttf",style:vn,ultimate:"sans-serif"}],["Helvetica-BoldOblique",{alias:"Helvetica",path:"LiberationSans-BoldItalic.ttf",style:Fn,ultimate:"sans-serif"}],["Courier",{local:["Courier","Courier New","Liberation Mono","Nimbus Mono","Nimbus Mono L","Cousine","Cumberland","TeX Gyre Cursor","FreeMono","Linux Libertine Mono O","Libertinus Mono"],style:kn,ultimate:"monospace"}],["Courier-Bold",{alias:"Courier",style:Cn,ultimate:"monospace"}],["Courier-Oblique",{alias:"Courier",style:vn,ulti\ -mate:"monospace"}],["Courier-BoldOblique",{alias:"Courier",style:Fn,ultimate:"monospace"}],["ArialBlack",{local:["Arial Black"],style:{style:"normal",weight:"900"},fallback:"Helvetica-Bold"}],["ArialBlack-Bold",{alias:"ArialBlack"}],["ArialBlack-Italic",{alias:"ArialBlack",style:{style:"italic",weight:"900"},fallback:"Helvetica-BoldOblique"}],["ArialBlack-BoldItalic",{alias:"ArialBlack-Italic"}],["ArialNarrow",{local:["Arial Narrow","Liberation Sans Narrow","Helvetica Condensed","Nimbus Sans Nar\ -row","TeX Gyre Heros Cn"],style:kn,fallback:"Helvetica"}],["ArialNarrow-Bold",{alias:"ArialNarrow",style:Cn,fallback:"Helvetica-Bold"}],["ArialNarrow-Italic",{alias:"ArialNarrow",style:vn,fallback:"Helvetica-Oblique"}],["ArialNarrow-BoldItalic",{alias:"ArialNarrow",style:Fn,fallback:"Helvetica-BoldOblique"}],["Calibri",{local:["Calibri","Carlito"],style:kn,fallback:"Helvetica"}],["Calibri-Bold",{alias:"Calibri",style:Cn,fallback:"Helvetica-Bold"}],["Calibri-Italic",{alias:"Calibri",style:vn,fall\ -back:"Helvetica-Oblique"}],["Calibri-BoldItalic",{alias:"Calibri",style:Fn,fallback:"Helvetica-BoldOblique"}],["Wingdings",{local:["Wingdings","URW Dingbats"],style:kn}],["Wingdings-Regular",{alias:"Wingdings"}],["Wingdings-Bold",{alias:"Wingdings"}]]),Tn=new Map([["Arial-Black","ArialBlack"]]);function getFamilyName(e){const t=new Set(["thin","extralight","ultralight","demilight","semilight","light","book","regular","normal","medium","demibold","semibold","bold","extrabold","ultrabold","black",\ -"heavy","extrablack","ultrablack","roman","italic","oblique","ultracondensed","extracondensed","condensed","semicondensed","normal","semiexpanded","expanded","extraexpanded","ultraexpanded","bolditalic"]);return e.split(/[- ,+]+/g).filter((e=>!t.has(e.toLowerCase()))).join(" ")}function generateFont({alias:e,local:t,path:a,fallback:r,style:i,ultimate:n},s,o,c=!0,l=!0,h=""){const u={style:null,ultimate:null};if(t){const e=h?` ${h}`:"";for(const a of t)s.push(`local(${a}${e})`)}if(e){const t=In.ge\ -t(e),n=h||function getStyleToAppend(e){switch(e){case Cn:return"Bold";case vn:return"Italic";case Fn:return"Bold Italic";default:if("bold"===e?.weight)return"Bold";if("italic"===e?.style)return"Italic"}return""}(i);Object.assign(u,generateFont(t,s,o,c&&!r,l&&!a,n))}i&&(u.style=i);n&&(u.ultimate=n);if(c&&r){const e=In.get(r),{ultimate:t}=generateFont(e,s,o,c,l&&!a,h);u.ultimate||=t}l&&a&&o&&s.push(`url(${o}${a})`);return u}function getFontSubstitution(e,t,a,r,i,n){if(r.startsWith("InvalidPDFjsFon\ -t_"))return null;"TrueType"!==n&&"Type1"!==n||!/^[A-Z]{6}\\+/.test(r)||(r=r.slice(7));const s=r=normalizeFontName(r);let o=e.get(s);if(o)return o;let c=In.get(r);if(!c)for(const[e,t]of Tn)if(r.startsWith(e)){r=`${t}${r.substring(e.length)}`;c=In.get(r);break}let l=!1;if(!c){c=In.get(i);l=!0}const h=`${t.getDocId()}_s${t.createFontId()}`;if(!c){if(!validateFontName(r)){warn(`Cannot substitute the font because of its name: ${r}`);e.set(s,null);return null}const t=/bold/gi.test(r),a=/oblique|italic/\ -gi.test(r),i=t&&a&&Fn||t&&Cn||a&&vn||kn;o={css:`"${getFamilyName(r)}",${h}`,guessFallback:!0,loadedName:h,baseFontName:r,src:`local(${r})`,style:i};e.set(s,o);return o}const u=[];l&&validateFontName(r)&&u.push(`local(${r})`);const{style:d,ultimate:f}=generateFont(c,u,a),g=null===f,p=g?"":`,${f}`;o={css:`"${getFamilyName(r)}",${h}${p}`,guessFallback:g,loadedName:h,baseFontName:r,src:u.join(","),style:d};e.set(s,o);return o}const On=3285377520,Mn=4294901760,Dn=65535;class MurmurHash3_64{constructo\ -r(e){this.h1=e?4294967295&e:On;this.h2=e?4294967295&e:On}update(e){let t,a;if("string"==typeof e){t=new Uint8Array(2*e.length);a=0;for(let r=0,i=e.length;r>>8;t[a++]=255&i}}}else{if(!ArrayBuffer.isView(e))throw new Error("Invalid data format, must be a string or TypedArray.");t=e.slice();a=t.byteLength}const r=a>>2,i=a-4*r,n=new Uint32Array(t.buffer,0,r);let s=0,o=0,c=this.h1,l=this.h2;const h=3432918353,u=461845907,d=11601,f=13715\ -;for(let e=0;e>>17;s=s*u&Mn|s*f&Dn;c^=s;c=c<<13|c>>>19;c=5*c+3864292196}else{o=n[e];o=o*h&Mn|o*d&Dn;o=o<<15|o>>>17;o=o*u&Mn|o*f&Dn;l^=o;l=l<<13|l>>>19;l=5*l+3864292196}s=0;switch(i){case 3:s^=t[4*r+2]<<16;case 2:s^=t[4*r+1]<<8;case 1:s^=t[4*r];s=s*h&Mn|s*d&Dn;s=s<<15|s>>>17;s=s*u&Mn|s*f&Dn;1&r?c^=s:l^=s}this.h1=c;this.h2=l}hexdigest(){let e=this.h1,t=this.h2;e^=t>>>1;e=3981806797*e&Mn|36045*e&Dn;t=4283543511*t&Mn|(2950163797*(t<<16|e>>>16)&Mn)>>>16\ -;e^=t>>>1;e=444984403*e&Mn|60499*e&Dn;t=3301882366*t&Mn|(3120437893*(t<<16|e>>>16)&Mn)>>>16;e^=t>>>1;return(e>>>0).toString(16).padStart(8,"0")+(t>>>0).toString(16).padStart(8,"0")}}function resizeImageMask(e,t,a,r,i,n){const s=i*n;let o;o=t<=8?new Uint8Array(s):t<=16?new Uint16Array(s):new Uint32Array(s);const c=a/i,l=r/n;let h,u,d,f,g=0;const p=new Uint16Array(i),m=a;for(h=0;h0&&Number.isInteger(a.height)&&a.height>0&&(a.width!==f||a.height!==g)){warn("PDFImag\ -e - using the Width/Height of the image data, rather than the image dictionary.");f=a.width;g=a.height}else{const e="number"==typeof f&&f>0,t="number"==typeof g&&g>0;if(!e||!t){if(!a.fallbackDims)throw new FormatError(`Invalid image width: ${f} or height: ${g}`);warn("PDFImage - using the Width/Height of the parent image, for SMask/Mask data.");e||(f=a.fallbackDims.width);t||(g=a.fallbackDims.height)}}this.width=f;this.height=g;this.interpolate=h.get("I","Interpolate");this.imageMask=h.get("IM",\ -"ImageMask")||!1;this.matte=h.get("Matte")||!1;let p=a.bitsPerComponent;if(!p){p=h.get("BPC","BitsPerComponent");if(!p){if(!this.imageMask)throw new FormatError(`Bits per component missing in image: ${this.imageMask}`);p=1}}this.bpc=p;if(!this.imageMask){let i=h.getRaw("CS")||h.getRaw("ColorSpace");const n=!!i;if(n)this.jpxDecoderOptions?.smaskInData&&(i=Name.get("DeviceRGBA"));else if(this.jpxDecoderOptions)i=Name.get("DeviceRGBA");else switch(a.numComps){case 1:i=Name.get("DeviceGray");break;c\ -ase 3:i=Name.get("DeviceRGB");break;case 4:i=Name.get("DeviceCMYK");break;default:throw new Error(`Images with ${a.numComps} color components not supported.`)}this.colorSpace=ColorSpaceUtils.parse({cs:i,xref:e,resources:r?t:null,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l});this.numComps=this.colorSpace.numComps;if(this.jpxDecoderOptions){this.jpxDecoderOptions.numComponents=n?this.numComps:0;this.jpxDecoderOptions.isIndexedColormap="Indexed"===this.colorSpace.name}}this.\ -decode=h.getArray("D","Decode");this.needsDecode=!1;if(this.decode&&(this.colorSpace&&!this.colorSpace.isDefaultDecode(this.decode,p)||s&&!ColorSpace.isDefaultDecode(this.decode,1))){this.needsDecode=!0;const e=(1<0,c=(r+7>>3)*i,l=e.getBytes(c),h=1===r&&1===i&&o===(0===l.length||!!(128&l[0]));if(h)return{isSingleOpaquePixel:h};if(t){if(ImageResizer.needsToBeResized(r,i)){const e=new Uint8ClampedArray(r*i*4);convertBlackAndWhiteToRGBA({src:l,dest:e,width:r,height:i,nonBlackColor:0,inverseDecode:o});return ImageResizer.createImage({kind:v,data:e,width:r,height:i,inter\ -polate:n})}const e=new OffscreenCanvas(r,i),t=e.getContext("2d"),a=t.createImageData(r,i);convertBlackAndWhiteToRGBA({src:l,dest:a.data,width:r,height:i,nonBlackColor:0,inverseDecode:o});t.putImageData(a,0,0);return{data:null,width:r,height:i,interpolate:n,bitmap:e.transferToImageBitmap()}}const u=l.byteLength;let d;if(e instanceof DecodeStream&&(!o||c===u))d=l;else if(o){d=new Uint8Array(c);d.set(l);d.fill(255,u)}else d=new Uint8Array(l);if(o)for(let e=0;e>7&1;s[d+1]=u>>6&1;s[d+2]=u>>5&1;s[d+3]=u>>4&1;s[d+4]=u>>3&1;s[d+5]=u>>2&1;s[d+6]=u>>1&1;s[d+7]=1&u;d+=8}if(d>=1}}}}else{let a=0;u=0;for(d=0,h=n;d>r;i<0?i=0:i>l&&(i=l);s[d]=i;u&=(1<s[r+1]){t=255;break}}o[h]=t}}}if(o)for(h=0,d=3,u=t*r;h>3,h=t&&ImageResizer.needsToBeResized(a,r);if(!this.smask&&!this.mask&&"DeviceRGBA"===this.colorSpace.name){i.kind=v;const e=i.data=aw\ -ait this.getImageBytes(o*s*4,{});return t?h?ImageResizer.createImage(i,!1):this.createBitmap(v,a,r,e):i}if(!e){let e;"DeviceGray"===this.colorSpace.name&&1===c?e=k:"DeviceRGB"!==this.colorSpace.name||8!==c||this.needsDecode||(e=C);if(e&&!this.smask&&!this.mask&&a===s&&r===o){const n=await this.#$(s,o);if(n)return n;const c=await this.getImageBytes(o*l,{});if(t)return h?ImageResizer.createImage({data:c,kind:e,width:a,height:r,interpolate:this.interpolate},this.needsDecode):this.createBitmap(e,s,o\ -,c);i.kind=e;i.data=c;if(this.needsDecode){assert(e===k,"PDFImage.createImageData: The image must be grayscale.");const t=i.data;for(let e=0,a=t.length;e>3,s=await this.getImageBytes(r*n,{internal:!0}),o=this.getComponents(s);let c,l;if(1===i){l=a*r;if(this.needsDecode)for(c=0;c0&&r[0].count++}class TimeSlotManager{static TIME_SLOT_DURATION_MS=20;static CHECK_TIME_EVERY=100;constructor(){this.reset()}check(){if(++this.checkedo){const e="Image exceeded maximum \ -allowed size and was removed.";if(!c)throw new Error(e);warn(e);return}let g;h.has("OC")&&(g=await this.parseMarkedContentProps(h.get("OC"),e));let p,m,b;if(h.get("IM","ImageMask")||!1){p=await PDFImage.createMask({image:t,isOffscreenCanvasSupported:l&&!this.parsingType3Font});if(p.isSingleOpaquePixel){m=ta;b=[];r.addImageOps(m,b,g);if(i){const e={fn:m,args:b,optionalContent:g};n.set(i,u,e);u&&this._regionalImageCache.set(null,u,e)}return}if(this.parsingType3Font){b=function compileType3Glyph({d\ -ata:e,width:t,height:a}){if(t>1e3||a>1e3)return null;const r=new Uint8Array([0,2,4,0,1,0,5,4,8,10,0,8,0,2,1,0]),i=t+1,n=new Uint8Array(i*(a+1));let s,o,c;const l=t+7&-8,h=new Uint8Array(l*a);let u=0;for(const t of e){let e=128;for(;e>0;){h[u++]=t&e?0:255;e>>=1}}let d=0;u=0;if(0!==h[u]){n[0]=1;++d}for(o=1;o>2)+\ -(h[u+1]?4:0)+(h[u-l+1]?8:0);if(r[e]){n[c+o]=r[e];++d}u++}if(h[u-l]!==h[u]){n[c+o]=h[u]?2:4;++d}if(d>1e3)return null}u=l*(a-1);c=s*i;if(0!==h[u]){n[c]=8;++d}for(o=1;o1e3)return null;const f=new Int32Array([0,i,-1,0,-i,0,0,0,1]),g=[],{a:p,b:m,c:b,d:y,e:w,f:x}=(new DOMMatrix).scaleSelf(1/t,-1/a).translateSelf(0,-a);for(s=0;d&&s<=a;s++){let e=s*i;const a=e+t;for(;e>4;n[e]&=l>>2|l<<2}r=e%i;o=e/i|0;g.push(oa,p*r+b*o+w,m*r+y*o+x);n[e]||--d}while(c!==e);--s}return[na,[new Float32Array(g)],new Float32Array([0,0,t,a])]}(p);if(b){r.addImageOps(aa,b,g);return}warn("Cannot compile Type3 glyph.");r.addImageOps(Vt,[p],g);return}const e=`mask_${this.idFactory.createObjId()}`;r.addDependency(e);p.dataLen=p.bitmap?p.width*p.height*4:p.\ -data.length;this._sendImgData(e,p);m=Vt;b=[{data:e,width:p.width,height:p.height,interpolate:p.interpolate,count:1}];r.addImageOps(m,b,g);if(i){const t={objId:e,fn:m,args:b,optionalContent:g};n.set(i,u,t);u&&this._regionalImageCache.set(null,u,t)}return}const y=h.has("SMask")||h.has("Mask");if(a&&d+f<200&&!y){try{const i=new PDFImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s});p=awa\ -it i.createImageData(!0,!1);r.addImageOps(Yt,[p],g)}catch(e){const t=`Unable to decode inline image: "${e}".`;if(!c)throw new Error(t);warn(t)}return}let w=`img_${this.idFactory.createObjId()}`,x=!1,S=null;if(this.parsingType3Font)w=`${this.idFactory.getDocId()}_type3_${w}`;else if(i&&u){x=this.globalImageCache.shouldCache(u,this.pageIndex);if(x){assert(!a,"Cannot cache an inline image globally.");w=`${this.idFactory.getDocId()}_${w}`}}r.addDependency(w);m=Jt;b=[w,d,f];r.addImageOps(m,b,g,y);if(\ -x){S={objId:w,fn:m,args:b,optionalContent:g,hasMask:y,byteSize:0};if(this.globalImageCache.hasDecodeFailed(u)){this.globalImageCache.setData(u,S);this._sendImgData(w,null,x);return}if(d*f>25e4||y){const e=await this.handler.sendWithPromise("commonobj",[w,"CopyLocalImage",{imageRef:u}]);if(e){this.globalImageCache.setData(u,S);this.globalImageCache.addByteSize(u,e);return}}}PDFImage.buildImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCac\ -he:this.globalColorSpaceCache,localColorSpaceCache:s}).then((async e=>{p=await e.createImageData(!1,l);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;p.ref=u;x&&this.globalImageCache.addByteSize(u,p.dataLen);return this._sendImgData(w,p,x)})).catch((e=>{warn(`Unable to decode image "${w}": "${e}".`);u&&this.globalImageCache.addDecodeFailed(u);return this._sendImgData(w,null,x)}));if(i){const e={objId:w,fn:m,args:b,optionalContent:g,hasMask:y};n.set(i,u,e);if(u){this._regionalImageCache.set(\ -null,u,e);if(x){assert(S,"The global cache-data must be available.");this.globalImageCache.setData(u,S)}}}}handleSMask(e,t,a,r,i,n,s){const o=e.get("G"),c={subtype:e.get("S").name,backdrop:e.get("BC")},l=e.get("TR");if(isPDFFunction(l)){const e=this._pdfFunctionFactory.create(l),t=new Uint8Array(256),a=new Float32Array(1);for(let r=0;r<256;r++){a[0]=r/255;e(a,0,a,0);t[r]=255*a[0]|0}c.transferMap=t}return this.buildFormXObject(t,o,c,a,r,i.state.clone({newPath:!0}),n,s)}handleTransferFunction(e){l\ -et t;if(Array.isArray(e))t=e;else{if(!isPDFFunction(e))return null;t=[e]}const a=[];let r=0,i=0;for(const e of t){const t=this.xref.fetchIfRef(e);r++;if(isName(t,"Identity")){a.push(null);continue}if(!isPDFFunction(t))return null;const n=this._pdfFunctionFactory.create(t),s=new Uint8Array(256),o=new Float32Array(1);for(let e=0;e<256;e++){o[0]=e/255;n(o,0,o,0);s[e]=255*o[0]|0}a.push(s);i++}return 1!==r&&4!==r||0===i?null:a}handleTilingType(e,t,a,r,i,n,s,o){const c=new OperatorList,l=Dict.merge({x\ -ref:this.xref,dictArray:[i.get("Resources"),a]});return this.getOperatorList({stream:r,task:s,resources:l,operatorList:c}).then((function(){const a=c.getIR(),r=getTilingPatternIR(a,i,t);n.addDependencies(c.dependencies);n.addOp(e,r);i.objId&&o.set(null,i.objId,{operatorListIR:a,dict:i})})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`handleTilingType - ignoring pattern: "${e}".`)}}))}async handleSetFont(e,t,a,r,i,n,s=null,o=null){const c=t?.[0]instanc\ -eof Name?t[0].name:null,l=await this.loadFont(c,a,e,i,s,o);l.font.isType3Font&&r.addDependencies(l.type3Dependencies);n.font=l.font;l.send(this.handler);return l.loadedName}handleText(e,t){const a=t.font,r=a.charsToGlyphs(e);if(a.data){(!!(t.textRenderingMode&S)||"Pattern"===t.fillColorSpace.name||a.disableFontFace)&&PartialEvaluator.buildFontPaths(a,r,this.handler,this.options)}return r}ensureStateFont(e){if(e.font)return;const t=new FormatError("Missing setFont (Tf) operator before text render\ -ing operator.");if(!this.options.ignoreErrors)throw t;warn(`ensureStateFont: "${t}".`)}async setGState({resources:e,gState:t,operatorList:a,cacheKey:r,task:i,stateManager:n,localGStateCache:s,localColorSpaceCache:o,seenRefs:c}){const l=t.objId;let h=!0;const u=[];let d=Promise.resolve();for(const[r,s]of t)switch(r){case"Type":break;case"LW":if("number"!=typeof s){warn(`Invalid LW (line width): ${s}`);break}u.push([r,Math.abs(s)]);break;case"LC":case"LJ":case"ML":case"D":case"RI":case"FL":case"CA\ -":case"ca":u.push([r,s]);break;case"Font":h=!1;d=d.then((()=>this.handleSetFont(e,null,s[0],a,i,n.state).then((function(e){a.addDependency(e);u.push([r,[e,s[1]]])}))));break;case"BM":u.push([r,normalizeBlendMode(s)]);break;case"SMask":if(isName(s,"None")){u.push([r,!1]);break}if(s instanceof Dict){h=!1;d=d.then((()=>this.handleSMask(s,e,a,i,n,o,c)));u.push([r,!0])}else warn("Unsupported SMask type");break;case"TR":const t=this.handleTransferFunction(s);u.push([r,t]);break;case"OP":case"op":case"\ -OPM":case"BG":case"BG2":case"UCR":case"UCR2":case"TR2":case"HT":case"SM":case"SA":case"AIS":case"TK":info("graphic state operator "+r);break;default:info("Unknown graphic state operator "+r)}await d;u.length>0&&a.addOp(De,[u]);h&&s.set(r,l,u)}loadFont(e,t,a,r,i=null,n=null){const errorFont=async()=>new TranslatedFont({loadedName:"g_font_error",font:new ErrorFont(`Font "${e}" is not available.`),dict:t});let s;if(t)t instanceof Ref&&(s=t);else{const t=a.get("Font");t&&(s=t.getRaw(e))}if(s){if(thi\ -s.type3FontRefs?.has(s))return errorFont();if(this.fontCache.has(s))return this.fontCache.get(s);try{t=this.xref.fetchIfRef(s)}catch(e){warn(`loadFont - lookup failed: "${e}".`)}}if(!(t instanceof Dict)){if(!this.options.ignoreErrors&&!this.parsingType3Font){warn(`Font "${e}" is not available.`);return errorFont()}warn(`Font "${e}" is not available -- attempting to fallback to a default font.`);t=i||PartialEvaluator.fallbackFontDict}if(t.cacheKey&&this.fontCache.has(t.cacheKey))return this.fontC\ -ache.get(t.cacheKey);const{promise:o,resolve:c}=Promise.withResolvers();let l;try{l=this.preEvaluateFont(t);l.cssFontInfo=n}catch(e){warn(`loadFont - preEvaluateFont failed: "${e}".`);return errorFont()}const{descriptor:h,hash:u}=l,d=s instanceof Ref;let f;if(u&&h instanceof Dict){const e=h.fontAliases||=Object.create(null);if(e[u]){const t=e[u].aliasRef;if(d&&t&&this.fontCache.has(t)){this.fontCache.putAlias(s,t);return this.fontCache.get(s)}}else e[u]={fontID:this.idFactory.createFontId()};d&&\ -(e[u].aliasRef=s);f=e[u].fontID}else f=this.idFactory.createFontId();assert(f?.startsWith("f"),\'The "fontID" must be (correctly) defined.\');if(d)this.fontCache.put(s,o);else{t.cacheKey=`cacheKey_${f}`;this.fontCache.put(t.cacheKey,o)}t.loadedName=`${this.idFactory.getDocId()}_${f}`;this.translateFont(l).then((async e=>{const i=new TranslatedFont({loadedName:t.loadedName,font:e,dict:t});if(e.isType3Font)try{await i.loadType3Data(this,a,r)}catch(e){throw new Error(`Type3 font load error: ${e}`)}c(\ -i)})).catch((e=>{warn(`loadFont - translateFont failed: "${e}".`);c(new TranslatedFont({loadedName:t.loadedName,font:new ErrorFont(e?.message),dict:t}))}));return o}buildPath(e,t,a){const{pathMinMax:r,pathBuffer:i}=a;switch(0|e){case Xe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1],s=t[2],o=t[3],c=e+s,l=n+o;0===s||0===o?i.push(sa,e,n,oa,c,l,la):i.push(sa,e,n,oa,c,n,oa,c,l,oa,e,l,la);Util.rectBoundingBox(e,n,c,l,r);break}case Ee:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(s\ -a,e,n);Util.pointBoundingBox(e,n,r);break}case Pe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(oa,e,n);Util.pointBoundingBox(e,n,r);break}case Le:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l,h,u]=t;a.currentPointX=h;a.currentPointY=u;i.push(ca,s,o,c,l,h,u);Util.bezierBoundingBox(e,n,s,o,c,l,h,u,r);break}case je:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,e,n,s,o,c,l);Util.bezierBoundingBox(e,n,e,n,s,o,c,l,r);break}cas\ -e _e:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,s,o,c,l,c,l);Util.bezierBoundingBox(e,n,s,o,c,l,c,l,r);break}case Ue:i.push(la)}}_getColorSpace(e,t,a){return ColorSpaceUtils.parse({cs:e,xref:this.xref,resources:t,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:a,asyncIfNotCached:!0})}async _handleColorSpace(e){try{return await e}catch(e){if(e instanceof AbortException)retur\ -n null;if(this.options.ignoreErrors){warn(`_handleColorSpace - ignoring ColorSpace: "${e}".`);return null}throw e}}parseShading({shading:e,resources:t,localColorSpaceCache:a,localShadingPatternCache:r}){let i,n=r.get(e);if(n)return n;try{i=Pattern.parseShading(e,this.xref,t,this._pdfFunctionFactory,this.globalColorSpaceCache,a).getIR()}catch(t){if(t instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`parseShading - ignoring shading: "${t}".`);r.set(e,null);return null}throw\ - t}n=`pattern_${this.idFactory.createObjId()}`;this.parsingType3Font&&(n=`${this.idFactory.getDocId()}_type3_${n}`);r.set(e,n);this.parsingType3Font?this.handler.send("commonobj",[n,"Pattern",i]):this.handler.send("obj",[n,this.pageIndex,"Pattern",i]);return n}handleColorN(e,t,a,r,i,n,s,o,c,l){const h=a.pop();if(h instanceof Name){const u=i.getRaw(h.name),d=u instanceof Ref&&c.getByRef(u);if(d)try{const i=r.base?r.base.getRgbHex(a,0):null,n=getTilingPatternIR(d.operatorListIR,d.dict,i);e.addOp(t\ -,n);return}catch{}const f=this.xref.fetchIfRef(u);if(f){const i=f instanceof BaseStream?f.dict:f,h=i.get("PatternType");if(h===Rn){const o=r.base?r.base.getRgbHex(a,0):null;return this.handleTilingType(t,o,n,f,i,e,s,c)}if(h===Nn){const a=i.get("Shading"),r=this.parseShading({shading:a,resources:n,localColorSpaceCache:o,localShadingPatternCache:l});if(r){const a=lookupMatrix(i.getArray("Matrix"),null);e.addOp(t,["Shading",r,a])}return}throw new FormatError(`Unknown PatternType: ${h}`)}}throw new \ -FormatError(`Unknown PatternName: ${h}`)}_parseVisibilityExpression(e,t,a){if(++t>10){warn("Visibility expression is too deeply nested");return}const r=e.length,i=this.xref.fetchIfRef(e[0]);if(!(r<2)&&i instanceof Name){switch(i.name){case"And":case"Or":case"Not":a.push(i.name);break;default:warn(`Invalid operator ${i.name} in visibility expression`);return}for(let i=1;i0)return{type:"OCMD",expression:\ -t}}const t=a.get("OCGs");if(Array.isArray(t)||t instanceof Dict){const e=[];if(Array.isArray(t))for(const a of t)e.push(a.toString());else e.push(t.objId);return{type:r,ids:e,policy:a.get("P")instanceof Name?a.get("P").name:null,expression:null}}if(t instanceof Ref)return{type:r,id:t.toString()}}return null}getOperatorList({stream:e,task:t,resources:a,operatorList:r,initialState:i=null,fallbackFontDict:n=null,prevRefs:s=null}){const o=e.dict?.objId,c=new RefSet(s);if(o){if(s?.has(o))throw new Er\ -ror(`getOperatorList - ignoring circular reference: ${o}`);c.put(o)}a||=Dict.empty;i||=new EvalState;if(!r)throw new Error(\'getOperatorList: missing "operatorList" parameter\');const l=this,h=this.xref,u=new LocalImageCache,d=new LocalColorSpaceCache,f=new LocalGStateCache,g=new LocalTilingPatternCache,p=new Map,m=a.get("XObject")||Dict.empty,b=a.get("Pattern")||Dict.empty,y=new StateManager(i),w=new EvaluatorPreprocessor(e,h,y),x=new TimeSlotManager;function closePendingRestoreOPS(e){for(let e=0\ -,t=w.savedStatesDepth;e{y.state.fillColorSpace=e||ColorSpaceUtils.gray})));return}case yt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.strokeColorSpace=t;continue}next(l._handleColorSpace(t).then((e=>{y.state.strokeColorSpace=e||ColorSpaceUtils.gray})));return}case At:C=y.state.fillColorSpace;e=[C.getRgbHex(e,0)];i=It;break;case xt:C=\ -y.state.strokeColorSpace;e=[C.getRgbHex(e,0)];i=Ft;break;case vt:y.state.fillColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break;case Ct:y.state.strokeColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break;case Ot:y.state.fillColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=It;break;case Tt:y.state.strokeColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=Ft;break;case It:y.state.fillColorSp\ -ace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case Ft:y.state.strokeColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case kt:C=y.state.patternFillColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break}e=[];i=ia;break}if("Pattern"===C.name){next(l.handleColorN(r,kt,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=It;break;case St:C=y.state.patternStrokeColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpace\ -Utils.gray.getRgbHex(e,0)];i=Ft;break}e=[];i=ra;break}if("Pattern"===C.name){next(l.handleColorN(r,St,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=Ft;break;case Mt:let T;try{const t=a.get("Shading");if(!t)throw new FormatError("No shading resource found");T=t.get(e[0].name);if(!T)throw new FormatError("No shading object found")}catch(e){if(e instanceof AbortException)continue;if(l.options.ignoreErrors){warn(`getOperatorList - ignoring Shading: "${e}".`);continue}throw e}const O=l.parseShading\ -({shading:T,resources:a,localColorSpaceCache:d,localShadingPatternCache:p});if(!O)continue;e=[O];i=Mt;break;case De:F=e[0]instanceof Name;v=e[0].name;if(F){const t=f.getByName(v);if(t){t.length>0&&r.addOp(De,[t]);e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("GState must be referred to by name.");const n=a.get("ExtGState");if(!(n instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const s=n.get(v);if(!(s instanceof Dict))throw new FormatErro\ -r("GState should be a dictionary.");l.setGState({resources:a,gState:s,operatorList:r,cacheKey:v,task:t,stateManager:y,localGStateCache:f,localColorSpaceCache:d,seenRefs:c}).then(e,i)})).catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring ExtGState: "${e}".`)}})));return;case Ce:{const[t]=e;if("number"!=typeof t){warn(`Invalid setLineWidth: ${t}`);continue}e[0]=Math.abs(t);break}case Ee:case Pe:case Le:case je:case _e:case Ue:c\ -ase Xe:l.buildPath(i,e,y.state);continue;case qe:case He:case We:case ze:case $e:case Ge:case Ve:case Ke:case Je:{const{state:{pathBuffer:e,pathMinMax:t}}=y;i!==He&&i!==Ve&&i!==Ke||e.push(la);if(0===e.length)r.addOp(aa,[i,[null],null]);else{r.addOp(aa,[i,[new Float32Array(e)],t.slice()]);e.length=0;t.set([1/0,1/0,-1/0,-1/0],0)}continue}case ht:r.addOp(i,[new Float32Array(e)]);continue;case Et:case Pt:case Ut:case Xt:continue;case jt:if(!(e[0]instanceof Name)){warn(`Expected name for beginMarkedC\ -ontentProps arg0=${e[0]}`);r.addOp(jt,["OC",null]);continue}if("OC"===e[0].name){next(l.parseMarkedContentProps(e[1],a).then((e=>{r.addOp(jt,["OC",e])})).catch((e=>{if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring beginMarkedContentProps: "${e}".`);r.addOp(jt,["OC",null])}})));return}e=[e[0].name,e[1]instanceof Dict?e[1].get("MCID"):null];break;default:if(null!==e){for(S=0,k=e.length;S{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring errors during "${t.name}" task: "${e}".`);closePendingRestoreOPS()}}))}getTextContent({stream:e,task:a,resources:r,stateManager:i=null,includeMarkedContent:n=!1,sink:s,seenStyles:o=new Set,viewBox:c,lang:l=null,markedContentData:h=null,disableNormalization:u=!1,keepWhiteSpace:\ -d=!1,prevRefs:f=null,intersector:g=null}){const p=e.dict?.objId,m=new RefSet(f);if(p){if(f?.has(p))throw new Error(`getTextContent - ignoring circular reference: ${p}`);m.put(p)}r||=Dict.empty;i||=new StateManager(new TextState);n&&(h||={level:0});const b={items:[],styles:Object.create(null),lang:l},y={initialized:!1,str:[],totalWidth:0,totalHeight:0,width:0,height:0,vertical:!1,prevTransform:null,textAdvanceScale:0,spaceInFlowMin:0,spaceInFlowMax:0,trackingSpaceMin:1/0,negativeSpaceMax:-1/0,not\ -ASpace:-1/0,transform:null,fontName:null,hasEOL:!1},w=[" "," "];let x=0;function saveLastChar(e){const t=(x+1)%2,a=" "!==w[x]&&" "===w[t];w[x]=e;x=t;return!d&&a}function shouldAddWhitepsace(){return!d&&" "!==w[x]&&" "===w[(x+1)%2]}function resetLastChars(){w[0]=w[1]=" ";x=0}const S=this,k=this.xref,C=[];let v=null;const F=new LocalImageCache,T=new LocalGStateCache,O=new EvaluatorPreprocessor(e,k,i);let M;function pushWhitespace({width:e=0,height:t=0,transform:a=y.prevTransform,fontName:r=y.fontN\ -ame}){g?.addExtraChar(" ");b.items.push({str:" ",dir:"ltr",width:e,height:t,transform:a,fontName:r,hasEOL:!1})}function getCurrentTextTransform(){const e=M.font,a=[M.fontSize*M.textHScale,0,0,M.fontSize,0,M.textRise];if(e.isType3Font&&(M.fontSize<=1||e.isCharBBox)&&!isArrayEqual(M.fontMatrix,t)){const t=e.bbox[3]-e.bbox[1];t>0&&(a[3]*=t*M.fontMatrix[3])}return Util.transform(M.ctm,Util.transform(M.textMatrix,a))}function ensureTextContentItem(){if(y.initialized)return y;const{font:e,loadedName:t\ -}=M;if(!o.has(t)){o.add(t);b.styles[t]={fontFamily:e.fallbackName,ascent:e.ascent,descent:e.descent,vertical:e.vertical};if(S.options.fontExtraProperties&&e.systemFontInfo){const a=b.styles[t];a.fontSubstitution=e.systemFontInfo.css;a.fontSubstitutionLoadedName=e.systemFontInfo.loadedName}}y.fontName=t;const a=y.transform=getCurrentTextTransform();if(e.vertical){y.width=y.totalWidth=Math.hypot(a[0],a[1]);y.height=y.totalHeight=0;y.vertical=!0}else{y.width=y.totalWidth=0;y.height=y.totalHeight=Ma\ -th.hypot(a[2],a[3]);y.vertical=!1}const r=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),i=Math.hypot(M.ctm[0],M.ctm[1]);y.textAdvanceScale=i*r;const{fontSize:n}=M;y.trackingSpaceMin=.102*n;y.notASpace=.03*n;y.negativeSpaceMax=-.2*n;y.spaceInFlowMin=.102*n;y.spaceInFlowMax=.6*n;y.hasEOL=!1;y.initialized=!0;return y}function updateAdvanceScale(){if(!y.initialized)return;const e=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),t=Math.hypot(M.ctm[0],M.ctm[1])*e;if(t!==y.textAdvanceScale){if\ -(y.vertical){y.totalHeight+=y.height*y.textAdvanceScale;y.height=0}else{y.totalWidth+=y.width*y.textAdvanceScale;y.width=0}y.textAdvanceScale=t}}function runBidiTransform(e){let t=e.str.join("");u||(t=function normalizeUnicode(e){if(!ma){ma=/([\\u00a0\\u00b5\\u037e\\u0eb3\\u2000-\\u200a\\u202f\\u2126\\ufb00-\\ufb04\\ufb06\\ufb20-\\ufb36\\ufb38-\\ufb3c\\ufb3e\\ufb40-\\ufb41\\ufb43-\\ufb44\\ufb46-\\ufba1\\ufba4-\\ufba9\\ufbae-\\ufbb1\\ufbd3-\\ufbdc\\ufbde-\\ufbe7\\ufbea-\\ufbf8\\ufbfc-\\ufbfd\\ufc00-\\ufc5d\\ufc64-\\ufcf1\\ufcf5-\\ufd3d\ -\\ufd88\\ufdf4\\ufdfa-\\ufdfb\\ufe71\\ufe77\\ufe79\\ufe7b\\ufe7d]+)|(\\ufb05+)/gu;ba=new Map([["ſt","ſt"]])}return e.replaceAll(ma,((e,t,a)=>t?t.normalize("NFKC"):ba.get(a)))}(t));const a=bidi(t,-1,e.vertical);return{str:a.str,dir:a.dir,width:Math.abs(e.totalWidth),height:Math.abs(e.totalHeight),transform:e.transform,fontName:e.fontName,hasEOL:e.hasEOL}}async function handleSetFont(e,i){const n=await S.loadFont(e,i,r,a);M.loadedName=n.loadedName;M.font=n.font;M.fontMatrix=n.font.fontMatrix||t}function appl\ -yInverseRotation(e,t,a){const r=Math.hypot(a[0],a[1]);return[(a[0]*e+a[1]*t)/r,(a[2]*e+a[3]*t)/r]}function compareWithLastPosition(e){const t=getCurrentTextTransform();let a=t[4],r=t[5];if(M.font?.vertical){if(ac[2]||r+ec[3])return!1}else if(a+ec[2]||rc[3])return!1;if(!M.font||!y.prevTransform)return!0;let i=y.prevTransform[4],n=y.prevTransform[5];if(i===a&&n===r)return!0;let s=-1;t[0]&&0===t[1]&&0===t[2]?s=t[0]>0?0:180:t[1]&&0===t[0]&&0===t[3]&&(s=t[1]>0?90:2\ -70);switch(s){case 0:break;case 90:[a,r]=[r,a];[i,n]=[n,i];break;case 180:[a,r,i,n]=[-a,-r,-i,-n];break;case 270:[a,r]=[-r,-a];[i,n]=[-n,-i];break;default:[a,r]=applyInverseRotation(a,r,t);[i,n]=applyInverseRotation(i,n,y.prevTransform)}if(M.font.vertical){const e=(n-r)/y.textAdvanceScale,t=a-i,s=Math.sign(y.height);if(e.5*y.width){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(t)>y.width){appendEOL();return!0}e<=s*y.notASp\ -ace&&resetLastChars();if(e<=s*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({height:Math.abs(e)})}else y.height+=e;else if(!addFakeSpaces(e,y.prevTransform,s))if(0===y.str.length){resetLastChars();pushWhitespace({height:Math.abs(e)})}else y.height+=e;Math.abs(t)>.25*y.width&&flushTextContentItem();return!0}const o=(a-i)/y.textAdvanceScale,l=r-n,h=Math.sign(y.width);if(o.5*y.height){appendEOL();return!0}re\ -setLastChars();flushTextContentItem();return!0}if(Math.abs(l)>y.height){appendEOL();return!0}o<=h*y.notASpace&&resetLastChars();if(o<=h*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({width:Math.abs(o)})}else y.width+=o;else if(!addFakeSpaces(o,y.prevTransform,h))if(0===y.str.length){resetLastChars();pushWhitespace({width:Math.abs(o)})}else y.width+=o;Math.abs(l)>.25*y.height&&flushTextContentItem();return!0}function buildTextContentItem({char\ -s:e,extraSpacing:t}){const a=M.font;if(!e){const e=M.charSpacing+t;e&&(a.vertical?M.translateTextMatrix(0,-e):M.translateTextMatrix(e*M.textHScale,0));d&&compareWithLastPosition(0);return}const r=a.charsToGlyphs(e),i=M.fontMatrix[0]*M.fontSize;for(let e=0,n=r.length;e0){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:0})}break;case dt:if(!i.state.font){S.ensureStateFont(i.state);continue}buildTextContentItem({chars:w[0],extraSpacing:0});break;case gt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.carriageReturn();buildTextContentItem({chars:w[0],extraSpacin\ -g:0});break;case pt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.wordSpacing=w[0];M.charSpacing=w[1];M.carriageReturn();buildTextContentItem({chars:w[2],extraSpacing:0});break;case Nt:flushTextContentItem();v??=r.get("XObject")||Dict.empty;y=w[0]instanceof Name;p=w[0].name;if(y&&F.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("XObject must be referred to by name.");let f=v.getRaw(p);if(f instanceof Ref){if(F.getByRef(f)){e();return}if(S.globalImageCach\ -e.getData(f,S.pageIndex)){e();return}f=k.fetch(f)}if(!(f instanceof BaseStream))throw new FormatError("XObject should be a stream");const{dict:g}=f,b=g.get("Subtype");if(!(b instanceof Name))throw new FormatError("XObject should have a Name subtype");if("Form"!==b.name){F.set(p,g.objId,!0);e();return}const w=i.state.clone(),x=new StateManager(w),C=lookupMatrix(g.getArray("Matrix"),null);C&&x.transform(C);const T=g.get("Resources");enqueueChunk();const O={enqueueInvoked:!1,enqueue(e,t){this.enque\ -ueInvoked=!0;s.enqueue(e,t)},get desiredSize(){return s.desiredSize??0},get ready(){return s.ready}};S.getTextContent({stream:f,task:a,resources:T instanceof Dict?T:r,stateManager:x,includeMarkedContent:n,sink:s&&O,seenStyles:o,viewBox:c,lang:l,markedContentData:h,disableNormalization:u,keepWhiteSpace:d,prevRefs:m}).then((function(){O.enqueueInvoked||F.set(p,g.objId,!0);e()}),t)})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ign\ -oring XObject: "${e}".`)}})));return;case De:y=w[0]instanceof Name;p=w[0].name;if(y&&T.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("GState must be referred to by name.");const a=r.get("ExtGState");if(!(a instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const i=a.get(p);if(!(i instanceof Dict))throw new FormatError("GState should be a dictionary.");const n=i.get("Font");if(n){flushTextContentItem();M.fontName=null;M.fontSize=n[1];handl\ -eSetFont(null,n[0]).then(e,t)}else{T.set(p,i.objId,!0);e()}})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring ExtGState: "${e}".`)}})));return;case Lt:flushTextContentItem();if(n){h.level++;b.items.push({type:"beginMarkedContent",tag:w[0]instanceof Name?w[0].name:null})}break;case jt:flushTextContentItem();if(n){h.level++;let e=null;w[1]instanceof Dict&&(e=w[1].get("MCID"));b.items.push({type:"beginMarkedContentProps",id:N\ -umber.isInteger(e)?`${S.idFactory.getPageObjId()}_mc${e}`:null,tag:w[0]instanceof Name?w[0].name:null})}break;case _t:flushTextContentItem();if(n){if(0===h.level)break;h.level--;b.items.push({type:"endMarkedContent"})}break;case Re:!e||e.font===M.font&&e.fontSize===M.fontSize&&e.fontName===M.fontName||flushTextContentItem()}if(b.items.length>=(s?.desiredSize??1)){g=!0;break}}if(g)next(En);else{flushTextContentItem();enqueueChunk();e()}})).catch((e=>{if(!(e instanceof AbortException)){if(!this.op\ -tions.ignoreErrors)throw e;warn(`getTextContent - ignoring errors during "${a.name}" task: "${e}".`);flushTextContentItem();enqueueChunk()}}))}async extractDataStructures(e,t){const a=this.xref;let r;const i=this.readToUnicode(t.toUnicode);if(t.composite){const a=e.get("CIDSystemInfo");a instanceof Dict&&(t.cidSystemInfo={registry:stringToPDFString(a.get("Registry")),ordering:stringToPDFString(a.get("Ordering")),supplement:a.get("Supplement")});try{const t=e.get("CIDToGIDMap");t instanceof BaseS\ -tream&&(r=t.getBytes())}catch(e){if(!this.options.ignoreErrors)throw e;warn(`extractDataStructures - ignoring CIDToGIDMap data: "${e}".`)}}const n=[];let s,o=null;if(e.has("Encoding")){s=e.get("Encoding");if(s instanceof Dict){o=s.get("BaseEncoding");o=o instanceof Name?o.name:null;if(s.has("Differences")){const e=s.get("Differences");let t=0;for(const r of e){const e=a.fetchIfRef(r);if("number"==typeof e)t=e;else{if(!(e instanceof Name))throw new FormatError(`Invalid entry in \'Differences\' arra\ -y: ${e}`);n[t++]=e.name}}}}else if(s instanceof Name)o=s.name;else{const e="Encoding is not a Name nor a Dict";if(!this.options.ignoreErrors)throw new FormatError(e);warn(e)}"MacRomanEncoding"!==o&&"MacExpertEncoding"!==o&&"WinAnsiEncoding"!==o&&(o=null)}const c=!t.file||t.isInternalFont,l=ei()[t.name];o&&c&&l&&(o=null);if(o)t.defaultEncoding=getEncoding(o);else{const e=!!(t.flags&Pr),a=!!(t.flags&Lr);s=Ar;"TrueType"!==t.type||a||(s=kr);if(e||l){s=Sr;c&&(/Symbol/i.test(t.name)?s=Cr:/Dingbats/i.t\ -est(t.name)?s=vr:/Wingdings/i.test(t.name)&&(s=kr))}t.defaultEncoding=s}t.differences=n;t.baseEncodingName=o;t.hasEncoding=!!o||n.length>0;t.dict=e;t.toUnicode=await i;const h=await this.buildToUnicode(t);t.toUnicode=h;r&&(t.cidToGidMap=this.readCidToGidMap(r,h));return t}_simpleFontToUnicode(e,t=!1){assert(!e.composite,"Must be a simple font.");const a=[],r=e.defaultEncoding.slice(),i=e.baseEncodingName,n=e.differences;for(const e in n){const t=n[e];".notdef"!==t&&(r[e]=t)}const s=Fr();for(cons\ -t n in r){let o=r[n];if(""===o)continue;let c=s[o];if(void 0!==c){a[n]=String.fromCharCode(c);continue}let l=0;switch(o[0]){case"G":3===o.length&&(l=parseInt(o.substring(1),16));break;case"g":5===o.length&&(l=parseInt(o.substring(1),16));break;case"C":case"c":if(o.length>=3&&o.length<=4){const a=o.substring(1);if(t){l=parseInt(a,16);break}l=+a;if(Number.isNaN(l)&&Number.isInteger(parseInt(a,16)))return this._simpleFontToUnicode(e,!0)}break;case"u":c=getUnicodeForGlyph(o,s);-1!==c&&(l=c);break;de\ -fault:switch(o){case"f_h":case"f_t":case"T_h":a[n]=o.replaceAll("_","");continue}}if(l>0&&l<=1114111&&Number.isInteger(l)){if(i&&l===+n){const e=getEncoding(i);if(e&&(o=e[n])){a[n]=String.fromCharCode(s[o]);continue}}a[n]=String.fromCodePoint(l)}}return a}async buildToUnicode(e){e.hasIncludedToUnicodeMap=e.toUnicode?.length>0;if(e.hasIncludedToUnicodeMap){!e.composite&&e.hasEncoding&&(e.fallbackToUnicode=this._simpleFontToUnicode(e));return e.toUnicode}if(!e.composite)return new ToUnicodeMap(thi\ -s._simpleFontToUnicode(e));if(e.composite&&(e.cMap.builtInCMap&&!(e.cMap instanceof IdentityCMap)||"Adobe"===e.cidSystemInfo?.registry&&("GB1"===e.cidSystemInfo.ordering||"CNS1"===e.cidSystemInfo.ordering||"Japan1"===e.cidSystemInfo.ordering||"Korea1"===e.cidSystemInfo.ordering))){const{registry:t,ordering:a}=e.cidSystemInfo,r=Name.get(`${t}-${a}-UCS2`),i=await CMapFactory.create({encoding:r,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null}),n=[],s=[];e.cMap.forEach((function(e,t){if(t>\ -65535)throw new FormatError("Max size of CID is 65,535");const a=i.lookup(t);if(a){s.length=0;for(let e=0,t=a.length;e>1;(0!==i||t.has(n))&&(a[n]=i)}return a}extractWidths(e,t,a){con\ -st r=this.xref;let i=[],n=0;const s=[];let o;if(a.composite){const t=e.get("DW");n="number"==typeof t?Math.ceil(t):1e3;const c=e.get("W");if(Array.isArray(c))for(let e=0,t=c.length;e{const t=c.get(e\ -),r=new OperatorList;return n.getOperatorList({stream:t,task:a,resources:l,operatorList:r}).then((()=>{switch(r.fnArray[0]){case bt:this.#K(r,b);break;case mt:b||this.#J(r)}h[e]=r.getIR();for(const e of r.dependencies)i.add(e)})).catch((function(t){warn(`Type3 font resource "${e}" is not available.`);const a=new OperatorList;h[e]=a.getIR()}))}));this.#V=o.then((()=>{r.charProcOperatorList=h;if(this._bbox){r.isCharBBox=!0;r.bbox=this._bbox}}));return this.#V}#K(e,t=NaN){const a=Util.normalizeRect\ -(e.argsArray[0].slice(2)),r=a[2]-a[0],i=a[3]-a[1],n=Math.hypot(r,i);if(0===r||0===i){e.fnArray.splice(0,1);e.argsArray.splice(0,1)}else if(0===t||Math.round(n/t)>=10){this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}let s=0,o=e.length;for(;s=Ee&&n<=Je;if(i.variableArgs)o>s&&info(`Command ${r}: expected [0, ${s}] args, but received ${o} args.`);else{if(o!==s){const e=this.nonProcessedArgs;for(;o>s;){e.push(t.shift());o--}for(;oEvaluatorPreprocessor.MAX_INVALID_PATH_OPS)throw new FormatError(`Invalid ${e}`);warn(`Skipping ${e}`);null!==t&&(t.length=0);continue}}this.preprocessCommand(n,t);e.fn=n;e.args=t;return!0}if(a===wa)return!1;if(null!==a){null===t&&(t=[]);t.push(a);if(t.length>33)throw new FormatError("Too many arguments")}}}preprocessCommand(e,t){switch(\ -0|e){case Be:this.stateManager.save();break;case Re:this.stateManager.restore();break;case Ne:this.stateManager.transform(t)}}}class DefaultAppearanceEvaluator extends EvaluatorPreprocessor{constructor(e){super(new StringStream(e))}parse(){const e={fn:0,args:[]},t={fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3)};try{for(;;){e.args.length=0;if(!this.read(e))break;if(0!==this.savedStatesDepth)continue;const{fn:a,args:r}=e;switch(0|a){case nt:const[e,a]=r;e instanceof Name&&(t.fontName=e\ -.name);"number"==typeof a&&a>0&&(t.fontSize=a);break;case It:ColorSpaceUtils.rgb.getRgbItem(r,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(r,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(r,0,t.fontColor,0)}}}catch(e){warn(`parseDefaultAppearance - ignoring errors: "${e}".`)}return t}}function parseDefaultAppearance(e){return new DefaultAppearanceEvaluator(e).parse()}class AppearanceStreamEvaluator extends EvaluatorPreprocessor{constructor(e,t,a,r){super(e);this\ -.stream=e;this.evaluatorOptions=t;this.xref=a;this.globalColorSpaceCache=r;this.resources=e.dict?.get("Resources")}parse(){const e={fn:0,args:[]};let t={scaleFactor:1,fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3),fillColorSpace:ColorSpaceUtils.gray},a=!1;const r=[];try{for(;;){e.args.length=0;if(a||!this.read(e))break;const{fn:i,args:n}=e;switch(0|i){case Be:r.push({scaleFactor:t.scaleFactor,fontSize:t.fontSize,fontName:t.fontName,fontColor:t.fontColor.slice(),fillColorSpace:t.fillCo\ -lorSpace});break;case Re:t=r.pop()||t;break;case ht:t.scaleFactor*=Math.hypot(n[0],n[1]);break;case nt:const[e,i]=n;e instanceof Name&&(t.fontName=e.name);"number"==typeof i&&i>0&&(t.fontSize=i*t.scaleFactor);break;case wt:t.fillColorSpace=ColorSpaceUtils.parse({cs:n[0],xref:this.xref,resources:this.resources,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:this._localColorSpaceCache});break;case At:t.fillColorSpace.getRgbItem(n,0,\ -t.fontColor,0);break;case It:ColorSpaceUtils.rgb.getRgbItem(n,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(n,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(n,0,t.fontColor,0);break;case dt:case ft:case gt:case pt:a=!0}}}catch(e){warn(`parseAppearanceStream - ignoring errors: "${e}".`)}this.stream.reset();delete t.scaleFactor;delete t.fillColorSpace;return t}get _localColorSpaceCache(){return shadow(this,"_localColorSpaceCache",new LocalColorSpaceCache)}get _pdfF\ -unctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunctionFactory({xref:this.xref,isEvalSupported:this.evaluatorOptions.isEvalSupported}))}}function getPdfColor(e,t){if(e[0]===e[1]&&e[1]===e[2]){return`${numberToString(e[0]/255)} ${t?"g":"G"}`}return Array.from(e,(e=>numberToString(e/255))).join(" ")+" "+(t?"rg":"RG")}class FakeUnicodeFont{constructor(e,t){this.xref=e;this.widths=null;this.firstChar=1/0;this.lastChar=-1/0;this.fontFamily=t;const a=new OffscreenCanvas(1,1);this.ctx\ -Measure=a.getContext("2d",{willReadFrequently:!0});FakeUnicodeFont._fontNameId||(FakeUnicodeFont._fontNameId=1);this.fontName=Name.get(`InvalidPDFjsFont_${t}_${FakeUnicodeFont._fontNameId++}`)}get fontDescriptorRef(){if(!FakeUnicodeFont._fontDescriptorRef){const e=new Dict(this.xref);e.setIfName("Type","FontDescriptor");e.set("FontName",this.fontName);e.set("FontFamily","MyriadPro Regular");e.set("FontBBox",[0,0,0,0]);e.setIfName("FontStretch","Normal");e.set("FontWeight",400);e.set("ItalicAngle\ -",0);FakeUnicodeFont._fontDescriptorRef=this.xref.getNewPersistentRef(e)}return FakeUnicodeFont._fontDescriptorRef}get descendantFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","CIDFontType0");e.setIfName("CIDToGIDMap","Identity");e.set("FirstChar",this.firstChar);e.set("LastChar",this.lastChar);e.set("FontDescriptor",this.fontDescriptorRef);e.set("DW",1e3);const t=[],a=[...this.widths.entries()].sort();let r=null,i=null;for(\ -const[e,n]of a)if(r)if(e===r+i.length)i.push(n);else{t.push(r,i);r=e;i=[n]}else{r=e;i=[n]}r&&t.push(r,i);e.set("W",t);const n=new Dict(this.xref);n.set("Ordering","Identity");n.set("Registry","Adobe");n.set("Supplement",0);e.set("CIDSystemInfo",n);return this.xref.getNewPersistentRef(e)}get baseFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","Type0");e.setIfName("Encoding","Identity-H");e.set("DescendantFonts",[this.descendan\ -tFontRef]);e.setIfName("ToUnicode","Identity-H");return this.xref.getNewPersistentRef(e)}get resources(){const e=new Dict(this.xref),t=new Dict(this.xref);t.set(this.fontName.name,this.baseFontRef);e.set("Font",t);return e}_createContext(){this.widths=new Map;this.ctxMeasure.font=`1000px ${this.fontFamily}`;return this.ctxMeasure}createFontResources(e){const t=this._createContext();for(const a of e.split(/\\r\\n?|\\n/))for(const e of a.split("")){const a=e.charCodeAt(0);if(this.widths.has(a))contin\ -ue;const r=t.measureText(e),i=Math.ceil(r.width);this.widths.set(a,i);this.firstChar=Math.min(a,this.firstChar);this.lastChar=Math.max(a,this.lastChar)}return this.resources}static getFirstPositionInfo(e,t,i){const[n,s,o,c]=e;let l=o-n,h=c-s;t%180!=0&&([l,h]=[h,l]);const u=a*i;return{coords:[0,h+r*i-u],bbox:[0,0,l,h],matrix:0!==t?getRotationMatrix(t,h,u):void 0}}createAppearance(e,t,i,n,s,o){const c=this._createContext(),l=[];let h=-1/0;for(const t of e.split(/\\r\\n?|\\n/)){l.push(t);const e=c.mea\ -sureText(t).width;h=Math.max(h,e);for(const e of codePointIter(t)){const t=String.fromCodePoint(e);let a=this.widths.get(e);if(void 0===a){const r=c.measureText(t);a=Math.ceil(r.width);this.widths.set(e,a);this.firstChar=Math.min(e,this.firstChar);this.lastChar=Math.max(e,this.lastChar)}}}h*=n/1e3;const[u,d,f,g]=t;let p=f-u,m=g-d;i%180!=0&&([p,m]=[m,p]);let b=1;h>p&&(b=p/h);let y=1;const w=a*n,x=r*n,S=w*l.length;S>m&&(y=m/S);const k=n*Math.min(b,y),C=["q",`0 0 ${numberToString(p)} ${numberToStri\ -ng(m)} re W n`,"BT",`1 0 0 1 0 ${numberToString(m+x)} Tm 0 Tc ${getPdfColor(s,!0)}`,`/${this.fontName.name} ${numberToString(k)} Tf`],{resources:v}=this;if(1!==(o="number"==typeof o&&o>=0&&o<=1?o:1)){C.push("/R0 gs");const e=new Dict(this.xref),t=new Dict(this.xref);t.set("ca",o);t.set("CA",o);t.setIfName("Type","ExtGState");e.set("R0",t);v.set("ExtGState",e)}const F=numberToString(w);for(const e of l)C.push(`0 -${F} Td <${stringToUTF16HexString(e)}> Tj`);C.push("ET","Q");const T=C.join("\\n"),O=\ -new Dict(this.xref);O.setIfName("Subtype","Form");O.setIfName("Type","XObject");O.set("BBox",[0,0,p,m]);O.set("Length",T.length);O.set("Resources",v);if(i){const e=getRotationMatrix(i,p,m);O.set("Matrix",e)}const M=new StringStream(T);M.dict=O;return M}}const Pn=["m/d","m/d/yy","mm/dd/yy","mm/yy","d-mmm","d-mmm-yy","dd-mmm-yy","yy-mm-dd","mmm-yy","mmmm-yy","mmm d, yyyy","mmmm d, yyyy","m/d/yy h:MM tt","m/d/yy HH:MM"],Ln=["HH:MM","h:MM tt","HH:MM:ss","h:MM:ss tt"];class NameOrNumberTree{construct\ -or(e,t,a){this.root=e;this.xref=t;this._type=a}getAll(){const e=new Map;if(!this.root)return e;const t=this.xref,a=new RefSet;a.put(this.root);const r=[this.root];for(;r.length>0;){const i=t.fetchIfRef(r.shift());if(!(i instanceof Dict))continue;if(i.has("Kids")){const e=i.get("Kids");if(!Array.isArray(e))continue;for(const t of e){if(a.has(t))throw new FormatError(`Duplicate entry in "${this._type}" tree.`);r.push(t);a.put(t)}continue}const n=i.get(this._type);if(Array.isArray(n))for(let a=0,r=\ -n.length;a10){warn(`Search depth limit reached for "${this._type}" tree.`);return null}const i=a.get("Kids");if(!Array.isArray(i))return null;let n=0,s=i.length-1;for(;n<=s;){const r=n+s>>1,o=t.fetchIfRef(i[r]),c=o.get("Limits");if(et.fetchIfRef(c[1]))){a=o;break}n=r+1}}if(n>s)retu\ -rn null}const i=a.get(this._type);if(Array.isArray(i)){let a=0,r=i.length-2;for(;a<=r;){const n=a+r>>1,s=n+(1&n),o=t.fetchIfRef(i[s]);if(eo))return i[s+1];a=s+2}}}return null}get(e){return this.xref.fetchIfRef(this.getRaw(e))}}class NameTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Names")}}class NumberTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Nums")}}function clearGlobalCaches(){!function clearPatternCaches(){Ii=Object.create(null)}();!function c\ -learPrimitiveCaches(){xa=Object.create(null);Sa=Object.create(null);Aa=Object.create(null)}();!function clearUnicodeCaches(){Dr.clear()}();JpxImage.cleanup()}function pickPlatformItem(e){return e instanceof Dict?e.has("UF")?e.get("UF"):e.has("F")?e.get("F"):e.has("Unix")?e.get("Unix"):e.has("Mac")?e.get("Mac"):e.has("DOS")?e.get("DOS"):null:null}class FileSpec{#Y=!1;constructor(e,t,a=!1){if(e instanceof Dict){this.xref=t;this.root=e;e.has("FS")&&(this.fs=e.get("FS"));e.has("RF")&&warn("Related f\ -ile specifications are not supported");a||(e.has("EF")?this.#Y=!0:warn("Non-embedded file specifications are not supported"))}}get filename(){let e="";const t=pickPlatformItem(this.root);t&&"string"==typeof t&&(e=stringToPDFString(t,!0).replaceAll("\\\\\\\\","\\\\").replaceAll("\\\\/","/").replaceAll("\\\\","/"));return shadow(this,"filename",e||"unnamed")}get content(){if(!this.#Y)return null;this._contentRef||=pickPlatformItem(this.root?.get("EF"));let e=null;if(this._contentRef){const t=this.xref.fetch\ -IfRef(this._contentRef);t instanceof BaseStream?e=t.getBytes():warn("Embedded file specification points to non-existing/invalid content")}else warn("Embedded file specification does not have any content");return e}get description(){let e="";const t=this.root?.get("Desc");t&&"string"==typeof t&&(e=stringToPDFString(t));return shadow(this,"description",e)}get serializable(){return{rawFilename:this.filename,filename:(e=this.filename,e.substring(e.lastIndexOf("/")+1)),content:this.content,descriptio\ -n:this.description};var e}}const jn=0,_n=-2,Un=-3,Xn=-4,qn=-5,Hn=-6,Wn=-9;function isWhitespace(e,t){const a=e[t];return" "===a||"\\n"===a||"\\r"===a||"\\t"===a}class XMLParserBase{_resolveEntities(e){return e.replaceAll(/&([^;]+);/g,((e,t)=>{if("#x"===t.substring(0,2))return String.fromCodePoint(parseInt(t.substring(2),16));if("#"===t.substring(0,1))return String.fromCodePoint(parseInt(t.substring(1),10));switch(t){case"lt":return"<";case"gt":return">";case"amp":return"&";case"quot":return\'"\';case\ -"apos":return"\'"}return this.onResolveEntity(t)}))}_parseContent(e,t){const a=[];let r=t;function skipWs(){for(;r"!==e[r]&&"/"!==e[r];)++r;const i=e.substring(t,r);skipWs();for(;r"!==e[r]&&"/"!==e[r]&&"?"!==e[r];){skipWs();let t="",i="";for(;r"!==e[a]&&"?"!==e[a]&&"/"!==e[a];)++a;const r=e.substring(t,a);!function skipWs(){for(;a"!==e[a+1]);)++a;return{name:r,value:e.substring(i,a),parsed:a-t}}parseXml(e){let t=0;for(;t",a);if(t<0){this.onError(Wn);return}this.onEndElement(e.substring(a,t));a=t+1;break;case"?":++a;const r=this._parseProcessingInstruction(e,a);if("?>"!==e.substring(a+r.parsed,a+r.parsed+2)){this.onError(Un);return}this.onPi(r.name,r.value);a+=r.parsed+2;break;case"!":if("--"===e.substring(a+1,a+3)){t=e.indexOf("--\\x3e",a+3);if(t<0){this.onError(qn);return}this.onComment(e.substring(a+3,t));a=t+3}else if("[CDATA["===e.substring(a+\ -1,a+8)){t=e.indexOf("]]>",a+8);if(t<0){this.onError(_n);return}this.onCdata(e.substring(a+8,t));a=t+3}else{if("DOCTYPE"!==e.substring(a+1,a+8)){this.onError(Hn);return}{const r=e.indexOf("[",a+8);let i=!1;t=e.indexOf(">",a+8);if(t<0){this.onError(Xn);return}if(r>0&&t>r){t=e.indexOf("]>",a+8);if(t<0){this.onError(Xn);return}i=!0}const n=e.substring(a+8,t+(i?1:0));this.onDoctype(n);a=t+(i?2:1)}}break;default:const i=this._parseContent(e,a);if(null===i){this.onError(Hn);return}let n=!1;if("/>"===e.\ -substring(a+i.parsed,a+i.parsed+2))n=!0;else if(">"!==e.substring(a+i.parsed,a+i.parsed+1)){this.onError(Wn);return}this.onBeginElement(i.name,i.attributes,n);a+=i.parsed+(n?2:1)}}else{for(;ae.textContent)).join(""):this.nodeValue||""}get children(){return this.childNodes||[]}hasChildNodes(){return this.childNodes?.length>0}searchNode(e,t){if(t>=e.length)return this;const a=e[t];if(a.name.s\ -tartsWith("#")&&t0){r.push([i,0]);i=i.childNodes[0]}else{if(0===r.length)return null;for(;0!==r.length;){const[e,t]=r.pop(),a=t+1;if(a");for(const t of this.childNodes)t.dump(e);e.push(``)}else this.nodeValue?e.push(`>${encodeToXmlString(this.nodeValue)}`):e.push("/>")}else e.push(encodeToXmlString(this.no\ -deValue))}}class SimpleXMLParser extends XMLParserBase{constructor({hasAttributes:e=!1,lowerCaseName:t=!1}){super();this._currentFragment=null;this._stack=null;this._errorCode=jn;this._hasAttributes=e;this._lowerCaseName=t}parseFromString(e){this._currentFragment=[];this._stack=[];this._errorCode=jn;this.parseXml(e);if(this._errorCode!==jn)return;const[t]=this._currentFragment;return t?{documentElement:t}:void 0}onText(e){if(function isWhitespaceString(e){for(let t=0,a=e.length;t\\\\376\\\\377([^<]+)/g,(function(e,t){const a=t.replaceAll(/\\\\([0-3])([0-7])([0-7])/g,(function(e,t,a,r){return String.fromCharC\ -ode(64*t+8*a+1*r)})).replaceAll(/&(amp|apos|gt|lt|quot);/g,(function(e,t){switch(t){case"amp":return"&";case"apos":return"\'";case"gt":return">";case"lt":return"<";case"quot":return\'"\'}throw new Error(`_repair: ${t} isn\'t defined.`)})),r=[">"];for(let e=0,t=a.length;e=32&&t<127&&60!==t&&62!==t&&38!==t?r.push(String.fromCharCode(t)):r.push("&#x"+(65536+t).toString(16).substring(1)+";")}return r.join("")}))}_getSequence(e){const t=e.nodeName;\ -return"rdf:bag"!==t&&"rdf:seq"!==t&&"rdf:alt"!==t?null:e.childNodes.filter((e=>"rdf:li"===e.nodeName))}_parseArray(e){if(!e.hasChildNodes())return;const[t]=e.childNodes,a=this._getSequence(t)||[];this._metadataMap.set(e.nodeName,a.map((e=>e.textContent.trim())))}_parse(e){let t=e.documentElement;if("rdf:rdf"!==t.nodeName){t=t.firstChild;for(;t&&"rdf:rdf"!==t.nodeName;)t=t.nextSibling}if(t&&"rdf:rdf"===t.nodeName&&t.hasChildNodes())for(const e of t.childNodes)if("rdf:description"===e.nodeName)for\ -(const t of e.childNodes){const e=t.nodeName;switch(e){case"#text":continue;case"dc:creator":case"dc:subject":this._parseArray(t);continue}this._metadataMap.set(e,t.textContent.trim())}}get serializable(){return{parsedData:this._metadataMap,rawData:this._data}}}const zn=1,$n=2,Gn=3,Vn=4,Kn=5;class StructTreeRoot{constructor(e,t,a){this.xref=e;this.dict=t;this.ref=a instanceof Ref?a:null;this.roleMap=new Map;this.structParentIds=null}init(){this.readRoleMap()}#Z(e,t,a){if(!(e instanceof Ref)||t<0\ -)return;this.structParentIds||=new RefSetCache;let r=this.structParentIds.get(e);if(!r){r=[];this.structParentIds.put(e,r)}r.push([t,a])}addAnnotationIdToPage(e,t){this.#Z(e,t,Vn)}readRoleMap(){const e=this.dict.get("RoleMap");if(e instanceof Dict)for(const[t,a]of e)a instanceof Name&&this.roleMap.set(t,a.name)}static async canCreateStructureTree({catalogRef:e,pdfManager:t,newAnnotationsByPage:a}){if(!(e instanceof Ref)){warn("Cannot save the struct tree: no catalog reference.");return!1}let r=0\ -,i=!0;for(const[e,n]of a){const{ref:a}=await t.getPage(e);if(!(a instanceof Ref)){warn(`Cannot save the struct tree: page ${e} has no ref.`);i=!0;break}for(const e of n)if(e.accessibilityData?.type){e.parentTreeId=r++;i=!1}}if(i){for(const e of a.values())for(const t of e)delete t.parentTreeId;return!1}return!0}static async createStructureTree({newAnnotationsByPage:e,xref:t,catalogRef:a,pdfManager:r,changes:i}){const n=await r.ensureCatalog("cloneDict"),s=new RefSetCache;s.put(a,n);const o=t.get\ -NewTemporaryRef();n.set("StructTreeRoot",o);const c=new Dict(t);c.set("Type",Name.get("StructTreeRoot"));const l=t.getNewTemporaryRef();c.set("ParentTree",l);const h=[];c.set("K",h);s.put(o,c);const u=new Dict(t),d=[];u.set("Nums",d);const f=await this.#Q({newAnnotationsByPage:e,structTreeRootRef:o,structTreeRoot:null,kids:h,nums:d,xref:t,pdfManager:r,changes:i,cache:s});c.set("ParentTreeNextKey",f);s.put(l,u);for(const[e,t]of s.items())i.put(e,{data:t})}async canUpdateStructTree({pdfManager:e,n\ -ewAnnotationsByPage:t}){if(!this.ref){warn("Cannot update the struct tree: no root reference.");return!1}let a=this.dict.get("ParentTreeNextKey");if(!Number.isInteger(a)||a<0){warn("Cannot update the struct tree: invalid next key.");return!1}const r=this.dict.get("ParentTree");if(!(r instanceof Dict)){warn("Cannot update the struct tree: ParentTree isn\'t a dict.");return!1}const i=r.get("Nums");if(!Array.isArray(i)){warn("Cannot update the struct tree: nums isn\'t an array.");return!1}const n=new\ - NumberTree(r,this.xref);for(const a of t.keys()){const{pageDict:t}=await e.getPage(a);if(!t.has("StructParents"))continue;const r=t.get("StructParents");if(!Number.isInteger(r)||!Array.isArray(n.get(r))){warn(`Cannot save the struct tree: page ${a} has a wrong id.`);return!1}}let s=!0;for(const[r,i]of t){const{pageDict:t}=await e.getPage(r);StructTreeRoot.#ee({elements:i,xref:this.xref,pageDict:t,numberTree:n});for(const e of i)if(e.accessibilityData?.type){e.accessibilityData.structParent>=0||\ -(e.parentTreeId=a++);s=!1}}if(s){for(const e of t.values())for(const t of e){delete t.parentTreeId;delete t.structTreeParent}return!1}return!0}async updateStructureTree({newAnnotationsByPage:e,pdfManager:t,changes:a}){const{ref:r,xref:i}=this,n=this.dict.clone(),s=new RefSetCache;s.put(r,n);let o,c=n.getRaw("ParentTree");if(c instanceof Ref)o=i.fetch(c);else{o=c;c=i.getNewTemporaryRef();n.set("ParentTree",c)}o=o.clone();s.put(c,o);let l=o.getRaw("Nums"),h=null;if(l instanceof Ref){h=l;l=i.fetch(\ -h)}l=l.slice();h||o.set("Nums",l);const u=await StructTreeRoot.#Q({newAnnotationsByPage:e,structTreeRootRef:r,structTreeRoot:this,kids:null,nums:l,xref:i,pdfManager:t,changes:a,cache:s});if(-1!==u){n.set("ParentTreeNextKey",u);h&&s.put(h,l);for(const[e,t]of s.items())a.put(e,{data:t})}}static async#Q({newAnnotationsByPage:e,structTreeRootRef:t,structTreeRoot:a,kids:r,nums:i,xref:n,pdfManager:s,changes:o,cache:c}){const l=Name.get("OBJR");let h,u=-1;for(const[d,f]of e){const e=await s.getPage(d),\ -{ref:g}=e,p=g instanceof Ref;for(const{accessibilityData:s,ref:m,parentTreeId:b,structTreeParent:y}of f){if(!s?.type)continue;const{structParent:f}=s;if(a&&Number.isInteger(f)&&f>=0){let t=(h||=new Map).get(d);if(void 0===t){t=new StructTreePage(a,e.pageDict).collectObjects(g);h.set(d,t)}const r=t?.get(f);if(r){const e=n.fetch(r).clone();StructTreeRoot.#te(e,s);o.put(r,{data:e});continue}}u=Math.max(u,b);const w=n.getNewTemporaryRef(),x=new Dict(n);StructTreeRoot.#te(x,s);await this.#ae({structT\ -reeParent:y,tagDict:x,newTagRef:w,structTreeRootRef:t,fallbackKids:r,xref:n,cache:c});const S=new Dict(n);x.set("K",S);S.set("Type",l);p&&S.set("Pg",g);S.set("Obj",m);c.put(w,x);i.push(b,w)}}return u+1}static#te(e,{type:t,title:a,lang:r,alt:i,expanded:n,actualText:s}){e.set("S",Name.get(t));a&&e.set("T",stringToAsciiOrUTF16BE(a));r&&e.set("Lang",stringToAsciiOrUTF16BE(r));i&&e.set("Alt",stringToAsciiOrUTF16BE(i));n&&e.set("E",stringToAsciiOrUTF16BE(n));s&&e.set("ActualText",stringToAsciiOrUTF16B\ -E(s))}static#ee({elements:e,xref:t,pageDict:a,numberTree:r}){const i=new Map;for(const t of e)if(t.structTreeParentId){const e=parseInt(t.structTreeParentId.split("_mc")[1],10);let a=i.get(e);if(!a){a=[];i.set(e,a)}a.push(t)}const n=a.get("StructParents");if(!Number.isInteger(n))return;const s=r.get(n),updateElement=(e,a,r)=>{const n=i.get(e);if(n){const e=a.getRaw("P"),i=t.fetchIfRef(e);if(e instanceof Ref&&i instanceof Dict){const e={ref:r,dict:a};for(const t of n)t.structTreeParent=e}return!0\ -}return!1};for(const e of s){if(!(e instanceof Ref))continue;const a=t.fetch(e),r=a.get("K");if(Number.isInteger(r))updateElement(r,a,e);else if(Array.isArray(r))for(let i of r){i=t.fetchIfRef(i);if(Number.isInteger(i)&&updateElement(i,a,e))break;if(!(i instanceof Dict))continue;if(!isName(i.get("Type"),"MCR"))break;const r=i.get("MCID");if(Number.isInteger(r)&&updateElement(r,a,e))break}}}static async#ae({structTreeParent:e,tagDict:t,newTagRef:a,structTreeRootRef:r,fallbackKids:i,xref:n,cache:s\ -}){let o,c=null;if(e){({ref:c}=e);o=e.dict.getRaw("P")||r}else o=r;t.set("P",o);const l=n.fetchIfRef(o);if(!l){i.push(a);return}let h=s.get(o);if(!h){h=l.clone();s.put(o,h)}const u=h.getRaw("K");let d=u instanceof Ref?s.get(u):null;if(!d){d=n.fetchIfRef(u);d=Array.isArray(d)?d.slice():[u];const e=n.getNewTemporaryRef();h.set("K",e);s.put(e,d)}const f=d.indexOf(c);d.splice(f>=0?f+1:d.length,0,a)}}class StructElementNode{constructor(e,t){this.tree=e;this.xref=e.xref;this.dict=t;this.kids=[];this.p\ -arseKids()}get role(){const e=this.dict.get("S"),t=e instanceof Name?e.name:"",{root:a}=this.tree;return a.roleMap.get(t)??t}parseKids(){let e=null;const t=this.dict.getRaw("Pg");t instanceof Ref&&(e=t.toString());const a=this.dict.get("K");if(Array.isArray(a))for(const t of a){const a=this.parseKid(e,this.xref.fetchIfRef(t));a&&this.kids.push(a)}else{const t=this.parseKid(e,a);t&&this.kids.push(t)}}parseKid(e,t){if(Number.isInteger(t))return this.tree.pageDict.objId!==e?null:new StructElement({\ -type:zn,mcid:t,pageObjId:e});if(!(t instanceof Dict))return null;const a=t.getRaw("Pg");a instanceof Ref&&(e=a.toString());const r=t.get("Type")instanceof Name?t.get("Type").name:null;if("MCR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Stm");return new StructElement({type:$n,refObjId:a instanceof Ref?a.toString():null,pageObjId:e,mcid:t.get("MCID")})}if("OBJR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Obj");return new StructElement({type:Gn,refObj\ -Id:a instanceof Ref?a.toString():null,pageObjId:e})}return new StructElement({type:Kn,dict:t})}}class StructElement{constructor({type:e,dict:t=null,mcid:a=null,pageObjId:r=null,refObjId:i=null}){this.type=e;this.dict=t;this.mcid=a;this.pageObjId=r;this.refObjId=i;this.parentNode=null}}class StructTreePage{constructor(e,t){this.root=e;this.xref=e?.xref??null;this.rootDict=e?.dict??null;this.pageDict=t;this.nodes=[]}collectObjects(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return null;con\ -st t=this.rootDict.get("ParentTree");if(!t)return null;const a=this.root.structParentIds?.get(e);if(!a)return null;const r=new Map,i=new NumberTree(t,this.xref);for(const[e]of a){const t=i.getRaw(e);t instanceof Ref&&r.set(e,t)}return r}parse(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return;const t=this.rootDict.get("ParentTree");if(!t)return;const a=this.pageDict.get("StructParents"),r=this.root.structParentIds?.get(e);if(!Number.isInteger(a)&&!r)return;const i=new Map,n=new NumberTre\ -e(t,this.xref);if(Number.isInteger(a)){const e=n.get(a);if(Array.isArray(e))for(const t of e)t instanceof Ref&&this.addNode(this.xref.fetch(t),i)}if(r)for(const[e,t]of r){const a=n.get(e);if(a){const e=this.addNode(this.xref.fetchIfRef(a),i);1===e?.kids?.length&&e.kids[0].type===Gn&&(e.kids[0].type=t)}}}addNode(e,t,a=0){if(a>40){warn("StructTree MAX_DEPTH reached.");return null}if(!(e instanceof Dict))return null;if(t.has(e))return t.get(e);const r=new StructElementNode(this,e);t.set(e,r);const \ -i=e.get("P");if(!(i instanceof Dict)||isName(i.get("Type"),"StructTreeRoot")){this.addTopLevelNode(e,r)||t.delete(e);return r}const n=this.addNode(i,t,a+1);if(!n)return r;let s=!1;for(const t of n.kids)if(t.type===Kn&&t.dict===e){t.parentNode=r;s=!0}s||t.delete(e);return r}addTopLevelNode(e,t){const a=this.rootDict.get("K");if(!a)return!1;if(a instanceof Dict){if(a.objId!==e.objId)return!1;this.nodes[0]=t;return!0}if(!Array.isArray(a))return!0;let r=!1;for(let i=0;i40){warn("StructTree too deep to be fully serialized.");return}const r=Object.create(null);r.role=e.role;r.children=[];t.children.push(r);let i=e.dict.get("Alt");"string"!=typeof i&&(i=e.dict.get("ActualText"));"string"==typeof i&&(r.alt=stringToPDFString(i));const n=e.dict.get("A");if(n instanceof Dict){const e=lookupNormalRect(n.getArray("BBox"),null);if(e)r.bbox=e;else{const e\ -=n.get("Width"),t=n.get("Height");"number"==typeof e&&e>0&&"number"==typeof t&&t>0&&(r.bbox=[0,0,e,t])}}const s=e.dict.get("Lang");"string"==typeof s&&(r.lang=stringToPDFString(s));for(const t of e.kids){const e=t.type===Kn?t.parentNode:null;e?nodeToSerializable(e,r,a+1):t.type===zn||t.type===$n?r.children.push({type:"content",id:`p${t.pageObjId}_mc${t.mcid}`}):t.type===Gn?r.children.push({type:"object",id:t.refObjId}):t.type===Vn&&r.children.push({type:"annotation",id:`pdfjs_internal_id_${t.ref\ -ObjId}`})}}const e=Object.create(null);e.children=[];e.role="Root";for(const t of this.nodes)t&&nodeToSerializable(t,e);return e}}const Jn=function _isValidExplicitDest(e,t,a){if(!Array.isArray(a)||a.length<2)return!1;const[r,i,...n]=a;if(!e(r)&&!Number.isInteger(r))return!1;if(!t(i))return!1;const s=n.length;let o=!0;switch(i.name){case"XYZ":if(s<2||s>3)return!1;break;case"Fit":case"FitB":return 0===s;case"FitH":case"FitBH":case"FitV":case"FitBV":if(s>1)return!1;break;case"FitR":if(4!==s)return\ -!1;o=!1;break;default:return!1}for(const e of n)if(!("number"==typeof e||o&&null===e))return!1;return!0}.bind(null,(e=>e instanceof Ref),isName);function fetchDest(e){e instanceof Dict&&(e=e.get("D"));return Jn(e)?e:null}function fetchRemoteDest(e){let t=e.get("D");if(t){t instanceof Name&&(t=t.name);if("string"==typeof t)return stringToPDFString(t,!0);if(Jn(t))return JSON.stringify(t)}return null}class Catalog{#re=null;#ie=null;builtInCMapCache=new Map;fontCache=new RefSetCache;globalColorSpace\ -Cache=new GlobalColorSpaceCache;globalImageCache=new GlobalImageCache;nonBlendModesSet=new RefSet;pageDictCache=new RefSetCache;pageIndexCache=new RefSetCache;pageKidsCountCache=new RefSetCache;standardFontDataCache=new Map;systemFontCache=new Map;constructor(e,t){this.pdfManager=e;this.xref=t;this.#ie=t.getCatalogObj();if(!(this.#ie instanceof Dict))throw new FormatError("Catalog object is not a dictionary.");this.toplevelPagesDict}cloneDict(){return this.#ie.clone()}get version(){const e=this.\ -#ie.get("Version");if(e instanceof Name){if(Ca.test(e.name))return shadow(this,"version",e.name);warn(`Invalid PDF catalog version: ${e.name}`)}return shadow(this,"version",null)}get lang(){const e=this.#ie.get("Lang");return shadow(this,"lang",e&&"string"==typeof e?stringToPDFString(e):null)}get needsRendering(){const e=this.#ie.get("NeedsRendering");return shadow(this,"needsRendering","boolean"==typeof e&&e)}get collection(){let e=null;try{const t=this.#ie.get("Collection");t instanceof Dict&&\ -t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch Collection entry; assuming no collection is present.")}return shadow(this,"collection",e)}get acroForm(){let e=null;try{const t=this.#ie.get("AcroForm");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch AcroForm entry; assuming no forms are present.")}return shadow(this,"acroForm",e)}get acroFormRef(){const e=this.#ie.getRaw("AcroForm");return shadow(\ -this,"acroFormRef",e instanceof Ref?e:null)}get metadata(){const e=this.#ie.getRaw("Metadata");if(!(e instanceof Ref))return shadow(this,"metadata",null);let t=null;try{const a=this.xref.fetch(e,!this.xref.encrypt?.encryptMetadata);if(a instanceof BaseStream&&a.dict instanceof Dict){const e=a.dict.get("Type"),r=a.dict.get("Subtype");if(isName(e,"Metadata")&&isName(r,"XML")){const e=stringToUTF8String(a.getString());e&&(t=new MetadataParser(e).serializable)}}}catch(e){if(e instanceof MissingDataE\ -xception)throw e;info(`Skipping invalid Metadata: "${e}".`)}return shadow(this,"metadata",t)}get markInfo(){let e=null;try{e=this.#ne()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read mark info.")}return shadow(this,"markInfo",e)}#ne(){const e=this.#ie.get("MarkInfo");if(!(e instanceof Dict))return null;const t={Marked:!1,UserProperties:!1,Suspects:!1};for(const a in t){const r=e.get(a);"boolean"==typeof r&&(t[a]=r)}return t}get structTreeRoot(){let e=null;try{e=this.#\ -se()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable read to structTreeRoot info.")}return shadow(this,"structTreeRoot",e)}#se(){const e=this.#ie.getRaw("StructTreeRoot"),t=this.xref.fetchIfRef(e);if(!(t instanceof Dict))return null;const a=new StructTreeRoot(this.xref,t,e);a.init();return a}get toplevelPagesDict(){const e=this.#ie.get("Pages");if(!(e instanceof Dict))throw new FormatError("Invalid top-level pages dictionary.");return shadow(this,"toplevelPagesDict",e)}get doc\ -umentOutline(){let e=null;try{e=this.#oe()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read document outline.")}return shadow(this,"documentOutline",e)}#oe(){let e=this.#ie.get("Outlines");if(!(e instanceof Dict))return null;e=e.getRaw("First");if(!(e instanceof Ref))return null;const t={items:[]},a=[{obj:e,parent:t}],r=new RefSet;r.put(e);const i=this.xref,n=new Uint8ClampedArray(3);for(;a.length>0;){const t=a.shift(),s=i.fetchIfRef(t.obj);if(null===s)continue;s.has("T\ -itle")||warn("Invalid outline item encountered.");const o={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:s,resultObj:o,docBaseUrl:this.baseUrl,docAttachments:this.attachments});const c=s.get("Title"),l=s.get("F")||0,h=s.getArray("C"),u=s.get("Count");let d=n;!isNumberArray(h,3)||0===h[0]&&0===h[1]&&0===h[2]||(d=ColorSpaceUtils.rgb.getRgb(h,0));const f={action:o.action,attachment:o.attachment,dest:o.dest,url:o.url,unsafeUrl:o.unsafeUrl,newWindow:o.newWindow,setOCGState:o.s\ -etOCGState,title:"string"==typeof c?stringToPDFString(c):"",color:d,count:Number.isInteger(u)?u:void 0,bold:!!(2&l),italic:!!(1&l),items:[]};t.parent.items.push(f);e=s.getRaw("First");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:f});r.put(e)}e=s.getRaw("Next");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:t.parent});r.put(e)}}return t.items.length>0?t.items:null}get permissions(){let e=null;try{e=this.#ce()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read\ - permissions.")}return shadow(this,"permissions",e)}#ce(){const e=this.xref.trailer.get("Encrypt");if(!(e instanceof Dict))return null;let t=e.get("P");if("number"!=typeof t)return null;t+=2**32;const a=[];for(const e in w){const r=w[e];t&r&&a.push(r)}return a}get optionalContentConfig(){let e=null;try{const t=this.#ie.get("OCProperties");if(!t)return shadow(this,"optionalContentConfig",null);const a=t.get("D");if(!a)return shadow(this,"optionalContentConfig",null);const r=t.get("OCGs");if(!Arra\ -y.isArray(r))return shadow(this,"optionalContentConfig",null);const i=new RefSetCache;for(const e of r)e instanceof Ref&&!i.has(e)&&i.put(e,this.#le(e));e=this.#he(a,i)}catch(e){if(e instanceof MissingDataException)throw e;warn(`Unable to read optional content config: ${e}`)}return shadow(this,"optionalContentConfig",e)}#le(e){const t=this.xref.fetch(e),a={id:e.toString(),name:null,intent:null,usage:{print:null,view:null},rbGroups:[]},r=t.get("Name");"string"==typeof r&&(a.name=stringToPDFString\ -(r));let i=t.getArray("Intent");Array.isArray(i)||(i=[i]);i.every((e=>e instanceof Name))&&(a.intent=i.map((e=>e.name)));const n=t.get("Usage");if(!(n instanceof Dict))return a;const s=a.usage,o=n.get("Print");if(o instanceof Dict){const e=o.get("PrintState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.print={printState:e.name}}}const c=n.get("View");if(c instanceof Dict){const e=c.get("ViewState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.view={viewState:e.name}}}ret\ -urn a}#he(e,t){function parseOnOff(e){const a=[];if(Array.isArray(e))for(const r of e)r instanceof Ref&&t.has(r)&&a.push(r.toString());return a}function parseOrder(e,a=0){if(!Array.isArray(e))return null;const i=[];for(const n of e){if(n instanceof Ref&&t.has(n)){r.put(n);i.push(n.toString());continue}const e=parseNestedOrder(n,a);e&&i.push(e)}if(a>0)return i;const n=[];for(const[e]of t.items())r.has(e)||n.push(e.toString());n.length&&i.push({name:null,order:n});return i}function parseNestedOrde\ -r(e,t){if(++t>i){warn("parseNestedOrder - reached MAX_NESTED_LEVELS.");return null}const r=a.fetchIfRef(e);if(!Array.isArray(r))return null;const n=a.fetchIfRef(r[0]);if("string"!=typeof n)return null;const s=parseOrder(r.slice(1),t);return s?.length?{name:stringToPDFString(n),order:s}:null}const a=this.xref,r=new RefSet,i=10;!function parseRBGroups(e){if(Array.isArray(e))for(const r of e){const e=a.fetchIfRef(r);if(!Array.isArray(e)||!e.length)continue;const i=new Set;for(const a of e)if(a inst\ -anceof Ref&&t.has(a)&&!i.has(a.toString())){i.add(a.toString());t.get(a).rbGroups.push(i)}}}(e.get("RBGroups"));return{name:"string"==typeof e.get("Name")?stringToPDFString(e.get("Name")):null,creator:"string"==typeof e.get("Creator")?stringToPDFString(e.get("Creator")):null,baseState:e.get("BaseState")instanceof Name?e.get("BaseState").name:null,on:parseOnOff(e.get("ON")),off:parseOnOff(e.get("OFF")),order:parseOrder(e.get("Order")),groups:[...t]}}setActualNumPages(e=null){this.#re=e}get hasAct\ -ualNumPages(){return null!==this.#re}get _pagesCount(){const e=this.toplevelPagesDict.get("Count");if(!Number.isInteger(e))throw new FormatError("Page count in top-level pages dictionary is not an integer.");return shadow(this,"_pagesCount",e)}get numPages(){return this.#re??this._pagesCount}get destinations(){const e=this.#ue(),t=Object.create(null);for(const a of e)if(a instanceof NameTree)for(const[e,r]of a.getAll()){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]=a)}else if(a instanceof \ -Dict)for(const[e,r]of a){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]||=a)}return shadow(this,"destinations",t)}getDestination(e){if(this.hasOwnProperty("destinations"))return this.destinations[e]??null;const t=this.#ue();for(const a of t)if(a instanceof NameTree||a instanceof Dict){const t=fetchDest(a.get(e));if(t)return t}if(t.length){const t=this.destinations[e];if(t)return t}return null}#ue(){const e=this.#ie.get("Names"),t=[];e?.has("Dests")&&t.push(new NameTree(e.getRaw("Dests"),thi\ -s.xref));this.#ie.has("Dests")&&t.push(this.#ie.get("Dests"));return t}get pageLabels(){let e=null;try{e=this.#de()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read page labels.")}return shadow(this,"pageLabels",e)}#de(){const e=this.#ie.getRaw("PageLabels");if(!e)return null;const t=new Array(this.numPages);let a=null,r="";const i=new NumberTree(e,this.xref).getAll();let n="",s=1;for(let e=0,o=this.numPages;e=1))throw new FormatError("Invalid start in PageLabel dictionary.");s=e}else s=1}switch(a){case"D":n=s;break;case"R":case"r":n=toRomanNumerals(s,"r"===a);break;case"A":case"a":const e=26,t="a"===a?97:65,r=s-1;n=String.fromCharCode(t+r%e).repeat(Math.floor(r/e)+1);break;default:if(a)throw new FormatError(`Invalid style "${a}" in PageLabel dictionary.`);n=""}t[e]=r+n;s++}return t}get pageLayout(){const e=this.#ie.get("PageLayout");let t="";if(e instanceof Name)s\ -witch(e.name){case"SinglePage":case"OneColumn":case"TwoColumnLeft":case"TwoColumnRight":case"TwoPageLeft":case"TwoPageRight":t=e.name}return shadow(this,"pageLayout",t)}get pageMode(){const e=this.#ie.get("PageMode");let t="UseNone";if(e instanceof Name)switch(e.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"FullScreen":case"UseOC":case"UseAttachments":t=e.name}return shadow(this,"pageMode",t)}get viewerPreferences(){const e=this.#ie.get("ViewerPreferences");if(!(e instanceof Dict))r\ -eturn shadow(this,"viewerPreferences",null);let t=null;for(const[a,r]of e){let e;switch(a){case"HideToolbar":case"HideMenubar":case"HideWindowUI":case"FitWindow":case"CenterWindow":case"DisplayDocTitle":case"PickTrayByPDFSize":"boolean"==typeof r&&(e=r);break;case"NonFullScreenPageMode":if(r instanceof Name)switch(r.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"UseOC":e=r.name;break;default:e="UseNone"}break;case"Direction":if(r instanceof Name)switch(r.name){case"L2R":case"R2L":e=r\ -.name;break;default:e="L2R"}break;case"ViewArea":case"ViewClip":case"PrintArea":case"PrintClip":if(r instanceof Name)switch(r.name){case"MediaBox":case"CropBox":case"BleedBox":case"TrimBox":case"ArtBox":e=r.name;break;default:e="CropBox"}break;case"PrintScaling":if(r instanceof Name)switch(r.name){case"None":case"AppDefault":e=r.name;break;default:e="AppDefault"}break;case"Duplex":if(r instanceof Name)switch(r.name){case"Simplex":case"DuplexFlipShortEdge":case"DuplexFlipLongEdge":e=r.name;break;\ -default:e="None"}break;case"PrintPageRange":if(Array.isArray(r)&&r.length%2==0){r.every(((e,t,a)=>Number.isInteger(e)&&e>0&&(0===t||e>=a[t-1])&&e<=this.numPages))&&(e=r)}break;case"NumCopies":Number.isInteger(r)&&r>0&&(e=r);break;default:warn(`Ignoring non-standard key in ViewerPreferences: ${a}.`);continue}if(void 0!==e){t??=Object.create(null);t[a]=e}else warn(`Bad value, for key "${a}", in ViewerPreferences: ${r}.`)}return shadow(this,"viewerPreferences",t)}get openAction(){const e=this.#ie.g\ -et("OpenAction"),t=Object.create(null);if(e instanceof Dict){const a=new Dict(this.xref);a.set("A",e);const r={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:a,resultObj:r});Array.isArray(r.dest)?t.dest=r.dest:r.action&&(t.action=r.action)}else Jn(e)&&(t.dest=e);return shadow(this,"openAction",objectSize(t)>0?t:null)}get attachments(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("EmbeddedFiles")){const a=new NameTree(e.getRaw("EmbeddedFiles"),this.x\ -ref);for(const[e,r]of a.getAll()){const a=new FileSpec(r,this.xref);t??=Object.create(null);t[stringToPDFString(e,!0)]=a.serializable}}return shadow(this,"attachments",t)}get xfaImages(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("XFAImages")){const a=new NameTree(e.getRaw("XFAImages"),this.xref);for(const[e,r]of a.getAll())if(r instanceof BaseStream){t??=new Map;t.set(stringToPDFString(e,!0),r.getBytes())}}return shadow(this,"xfaImages",t)}#fe(){const e=this.#ie.get("N\ -ames");let t=null;function appendIfJavaScriptDict(e,a){if(!(a instanceof Dict))return;if(!isName(a.get("S"),"JavaScript"))return;let r=a.get("JS");if(r instanceof BaseStream)r=r.getString();else if("string"!=typeof r)return;r=stringToPDFString(r,!0).replaceAll("\\0","");r&&(t||=new Map).set(e,r)}if(e instanceof Dict&&e.has("JavaScript")){const t=new NameTree(e.getRaw("JavaScript"),this.xref);for(const[e,a]of t.getAll())appendIfJavaScriptDict(stringToPDFString(e,!0),a)}const a=this.#ie.get("OpenAc\ -tion");a&&appendIfJavaScriptDict("OpenAction",a);return t}get jsActions(){const e=this.#fe();let t=collectActions(this.xref,this.#ie,we);if(e){t||=Object.create(null);for(const[a,r]of e)a in t?t[a].push(r):t[a]=[r]}return shadow(this,"jsActions",t)}async cleanup(e=!1){clearGlobalCaches();this.globalColorSpaceCache.clear();this.globalImageCache.clear(e);this.pageKidsCountCache.clear();this.pageIndexCache.clear();this.pageDictCache.clear();this.nonBlendModesSet.clear();for(const{dict:e}of await Pr\ -omise.all(this.fontCache))delete e.cacheKey;this.fontCache.clear();this.builtInCMapCache.clear();this.standardFontDataCache.clear();this.systemFontCache.clear()}async getPageDict(e){const t=[this.toplevelPagesDict],a=new RefSet,r=this.#ie.getRaw("Pages");r instanceof Ref&&a.put(r);const i=this.xref,n=this.pageKidsCountCache,s=this.pageIndexCache,o=this.pageDictCache;let c=0;for(;t.length;){const r=t.pop();if(r instanceof Ref){const l=n.get(r);if(l>=0&&c+l<=e){c+=l;continue}if(a.has(r))throw new \ -FormatError("Pages tree contains circular reference.");a.put(r);const h=await(o.get(r)||i.fetchAsync(r));if(h instanceof Dict){let t=h.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!h.has("Kids")){n.has(r)||n.put(r,1);s.has(r)||s.put(r,c);if(c===e)return[h,r];c++;continue}}t.push(h);continue}if(!(r instanceof Dict))throw new FormatError("Page dictionary kid reference points to wrong type of object.");const{objId:l}=r;let h=r.getRaw("Count");h instanceof Ref&&(h=\ -await i.fetchAsync(h));if(Number.isInteger(h)&&h>=0){l&&!n.has(l)&&n.put(l,h);if(c+h<=e){c+=h;continue}}let u=r.getRaw("Kids");u instanceof Ref&&(u=await i.fetchAsync(u));if(!Array.isArray(u)){let t=r.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!r.has("Kids")){if(c===e)return[r,null];c++;continue}throw new FormatError("Page dictionary kids object is not an array.")}for(let e=u.length-1;e>=0;e--){const a=u[e];t.push(a);r===this.toplevelPagesDict&&a instanceof R\ -ef&&!o.has(a)&&o.put(a,i.fetchAsync(a))}}throw new Error(`Page index ${e} not found.`)}async getAllPageDicts(e=!1){const{ignoreErrors:t}=this.pdfManager.evaluatorOptions,a=[{currentNode:this.toplevelPagesDict,posInKids:0}],r=new RefSet,i=this.#ie.getRaw("Pages");i instanceof Ref&&r.put(i);const n=new Map,s=this.xref,o=this.pageIndexCache;let c=0;function addPageDict(e,t){t&&!o.has(t)&&o.put(t,c);n.set(c++,[e,t])}function addPageError(a){if(a instanceof XRefEntryException&&!e)throw a;if(e&&t&&0==\ -=c){warn(`getAllPageDicts - Skipping invalid first page: "${a}".`);a=Dict.empty}n.set(c++,[a,null])}for(;a.length>0;){const e=a.at(-1),{currentNode:t,posInKids:i}=e;let n=t.getRaw("Kids");if(n instanceof Ref)try{n=await s.fetchAsync(n)}catch(e){addPageError(e);break}if(!Array.isArray(n)){addPageError(new FormatError("Page dictionary kids object is not an array."));break}if(i>=n.length){a.pop();continue}const o=n[i];let c;if(o instanceof Ref){if(r.has(o)){addPageError(new FormatError("Pages tree \ -contains circular reference."));break}r.put(o);try{c=await s.fetchAsync(o)}catch(e){addPageError(e);break}}else c=o;if(!(c instanceof Dict)){addPageError(new FormatError("Page dictionary kid reference points to wrong type of object."));break}let l=c.getRaw("Type");if(l instanceof Ref)try{l=await s.fetchAsync(l)}catch(e){addPageError(e);break}isName(l,"Page")||!c.has("Kids")?addPageDict(c,o instanceof Ref?o:null):a.push({currentNode:c,posInKids:0});e.posInKids++}return n}getPageIndex(e){const t=t\ -his.pageIndexCache.get(e);if(void 0!==t)return Promise.resolve(t);const a=this.xref;let r=0;const next=t=>function pagesBeforeRef(t){let r,i=0;return a.fetchAsync(t).then((function(a){if(isRefsEqual(t,e)&&!isDict(a,"Page")&&!(a instanceof Dict&&!a.has("Type")&&a.has("Contents")))throw new FormatError("The reference does not point to a /Page dictionary.");if(!a)return null;if(!(a instanceof Dict))throw new FormatError("Node must be a dictionary.");r=a.getRaw("Parent");return a.getAsync("Parent")}\ -)).then((function(e){if(!e)return null;if(!(e instanceof Dict))throw new FormatError("Parent must be a dictionary.");return e.getAsync("Kids")})).then((function(e){if(!e)return null;const n=[];let s=!1;for(const r of e){if(!(r instanceof Ref))throw new FormatError("Kid must be a reference.");if(isRefsEqual(r,t)){s=!0;break}n.push(a.fetchAsync(r).then((function(e){if(!(e instanceof Dict))throw new FormatError("Kid node must be a dictionary.");e.has("Count")?i+=e.get("Count"):i++})))}if(!s)throw n\ -ew FormatError("Kid reference not found in parent\'s kids.");return Promise.all(n).then((()=>[i,r]))}))}(t).then((t=>{if(!t){this.pageIndexCache.put(e,r);return r}const[a,i]=t;r+=a;return next(i)}));return next(e)}get baseUrl(){const e=this.#ie.get("URI");if(e instanceof Dict){const t=e.get("Base");if("string"==typeof t){const e=createValidAbsoluteUrl(t,null,{tryConvertEncoding:!0});if(e)return shadow(this,"baseUrl",e.href)}}return shadow(this,"baseUrl",this.pdfManager.docBaseUrl)}static parseDes\ -tDictionary({destDict:e,resultObj:t,docBaseUrl:a=null,docAttachments:r=null}){if(!(e instanceof Dict)){warn("parseDestDictionary: `destDict` must be a dictionary.");return}let i,n,s=e.get("A");if(!(s instanceof Dict))if(e.has("Dest"))s=e.get("Dest");else{s=e.get("AA");s instanceof Dict&&(s.has("D")?s=s.get("D"):s.has("U")&&(s=s.get("U")))}if(s instanceof Dict){const e=s.get("S");if(!(e instanceof Name)){warn("parseDestDictionary: Invalid type in Action dictionary.");return}const a=e.name;switch(\ -a){case"ResetForm":const e=s.get("Flags"),o=!(1&("number"==typeof e?e:0)),c=[],l=[];for(const e of s.get("Fields")||[])e instanceof Ref?l.push(e.toString()):"string"==typeof e&&c.push(stringToPDFString(e));t.resetForm={fields:c,refs:l,include:o};break;case"URI":i=s.get("URI");i instanceof Name&&(i="/"+i.name);break;case"GoTo":n=s.get("D");break;case"Launch":case"GoToR":const h=s.get("F");if(h instanceof Dict){const e=new FileSpec(h,null,!0),{rawFilename:t}=e.serializable;i=t}else"string"==typeof\ - h&&(i=h);const u=fetchRemoteDest(s);u&&"string"==typeof i&&(i=i.split("#",1)[0]+"#"+u);const d=s.get("NewWindow");"boolean"==typeof d&&(t.newWindow=d);break;case"GoToE":const f=s.get("T");let g;if(r&&f instanceof Dict){const e=f.get("R"),t=f.get("N");isName(e,"C")&&"string"==typeof t&&(g=r[stringToPDFString(t,!0)])}if(g){t.attachment=g;const e=fetchRemoteDest(s);e&&(t.attachmentDest=e)}else warn(\'parseDestDictionary - unimplemented "GoToE" action.\');break;case"Named":const p=s.get("N");p instan\ -ceof Name&&(t.action=p.name);break;case"SetOCGState":const m=s.get("State"),b=s.get("PreserveRB");if(!Array.isArray(m)||0===m.length)break;const y=[];for(const e of m)if(e instanceof Name)switch(e.name){case"ON":case"OFF":case"Toggle":y.push(e.name)}else e instanceof Ref&&y.push(e.toString());if(y.length!==m.length)break;t.setOCGState={state:y,preserveRB:"boolean"!=typeof b||b};break;case"JavaScript":const w=s.get("JS");let x;w instanceof BaseStream?x=w.getString():"string"==typeof w&&(x=w);cons\ -t S=x&&recoverJsURL(stringToPDFString(x,!0));if(S){i=S.url;t.newWindow=S.newWindow;break}default:if("JavaScript"===a||"SubmitForm"===a)break;warn(`parseDestDictionary - unsupported action: "${a}".`)}}else e.has("Dest")&&(n=e.get("Dest"));if("string"==typeof i){const e=createValidAbsoluteUrl(i,a,{addDefaultProtocol:!0,tryConvertEncoding:!0});e&&(t.url=e.href);t.unsafeUrl=i}if(n){n instanceof Name&&(n=n.name);"string"==typeof n?t.dest=stringToPDFString(n,!0):Jn(n)&&(t.dest=n)}}}function addChildre\ -n(e,t){if(e instanceof Dict)e=e.getRawValues();else if(e instanceof BaseStream)e=e.dict.getRawValues();else if(!Array.isArray(e))return;for(const r of e)((a=r)instanceof Ref||a instanceof Dict||a instanceof BaseStream||Array.isArray(a))&&t.push(r);var a}class ObjectLoader{refSet=new RefSet;constructor(e,t,a){this.dict=e;this.keys=t;this.xref=a}async load(){const{keys:e,dict:t}=this,a=[];for(const r of e){const e=t.getRaw(r);void 0!==e&&a.push(e)}await this.#ge(a);this.refSet=null}async#ge(e){con\ -st t=[],a=[];for(;e.length;){let r=e.pop();if(r instanceof Ref){if(this.refSet.has(r))continue;try{this.refSet.put(r);r=this.xref.fetch(r)}catch(e){if(!(e instanceof MissingDataException)){warn(`ObjectLoader.#walk - requesting all data: "${e}".`);await this.xref.stream.manager.requestAllChunks();return}t.push(r);a.push({begin:e.begin,end:e.end})}}if(r instanceof BaseStream){const e=r.getBaseStreams();if(e){let i=!1;for(const t of e)if(!t.isDataLoaded){i=!0;a.push({begin:t.start,end:t.end})}i&&t.\ -push(r)}}addChildren(r,e)}if(a.length){await this.xref.stream.manager.requestRanges(a);for(const e of t)e instanceof Ref&&this.refSet.remove(e);await this.#ge(t)}}static async load(e,t,a){if(a.stream.isDataLoaded)return;const r=new ObjectLoader(e,t,a);await r.load()}}const Yn=Symbol(),Zn=Symbol(),Qn=Symbol(),es=Symbol(),ts=Symbol(),as=Symbol(),rs=Symbol(),is=Symbol(),ns=Symbol(),ss=Symbol("content"),os=Symbol("data"),cs=Symbol(),ls=Symbol("extra"),hs=Symbol(),us=Symbol(),ds=Symbol(),fs=Symbol(),\ -gs=Symbol(),ps=Symbol(),ms=Symbol(),bs=Symbol(),ys=Symbol(),ws=Symbol(),xs=Symbol(),Ss=Symbol(),As=Symbol(),ks=Symbol(),Cs=Symbol(),vs=Symbol(),Fs=Symbol(),Is=Symbol(),Ts=Symbol(),Os=Symbol(),Ms=Symbol(),Ds=Symbol(),Bs=Symbol(),Rs=Symbol(),Ns=Symbol(),Es=Symbol(),Ls=Symbol(),js=Symbol(),_s=Symbol(),Us=Symbol(),Xs=Symbol(),qs=Symbol(),Hs=Symbol("namespaceId"),Ws=Symbol("nodeName"),zs=Symbol(),$s=Symbol(),Gs=Symbol(),Vs=Symbol(),Ks=Symbol(),Js=Symbol(),Ys=Symbol(),Zs=Symbol(),Qs=Symbol("root"),eo=\ -Symbol(),to=Symbol(),ao=Symbol(),ro=Symbol(),io=Symbol(),no=Symbol(),so=Symbol(),oo=Symbol(),co=Symbol(),lo=Symbol(),ho=Symbol(),uo=Symbol("uid"),fo=Symbol(),go={config:{id:0,check:e=>e.startsWith("http://www.xfa.org/schema/xci/")},connectionSet:{id:1,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-connection-set/")},datasets:{id:2,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-data/")},form:{id:3,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-form/")},localeSet:{id:4,check:e=>e\ -.startsWith("http://www.xfa.org/schema/xfa-locale-set/")},pdf:{id:5,check:e=>"http://ns.adobe.com/xdp/pdf/"===e},signature:{id:6,check:e=>"http://www.w3.org/2000/09/xmldsig#"===e},sourceSet:{id:7,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-source-set/")},stylesheet:{id:8,check:e=>"http://www.w3.org/1999/XSL/Transform"===e},template:{id:9,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-template/")},xdc:{id:10,check:e=>e.startsWith("http://www.xfa.org/schema/xdc/")},xdp:{id:11,check:\ -e=>"http://ns.adobe.com/xdp/"===e},xfdf:{id:12,check:e=>"http://ns.adobe.com/xfdf/"===e},xhtml:{id:13,check:e=>"http://www.w3.org/1999/xhtml"===e},xmpmeta:{id:14,check:e=>"http://ns.adobe.com/xmpmeta/"===e}},po={pt:e=>e,cm:e=>e/2.54*72,mm:e=>e/25.4*72,in:e=>72*e,px:e=>e},mo=/([+-]?\\d+\\.?\\d*)(.*)/;function stripQuotes(e){return e.startsWith("\'")||e.startsWith(\'"\')?e.slice(1,-1):e}function getInteger({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseInt(e,10);return!isNaN(\ -r)&&a(r)?r:t}function getFloat({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseFloat(e);return!isNaN(r)&&a(r)?r:t}function getKeyword({data:e,defaultValue:t,validate:a}){return e&&a(e=e.trim())?e:t}function getStringOption(e,t){return getKeyword({data:e,defaultValue:t[0],validate:e=>t.includes(e)})}function getMeasurement(e,t="0"){t||="0";if(!e)return getMeasurement(t);const a=e.trim().match(mo);if(!a)return getMeasurement(t);const[,r,i]=a,n=parseFloat(r);if(isNaN(n))r\ -eturn getMeasurement(t);if(0===n)return 0;const s=po[i];return s?s(n):n}function getRatio(e){if(!e)return{num:1,den:1};const t=e.split(":",2).map((e=>parseFloat(e.trim()))).filter((e=>!isNaN(e)));1===t.length&&t.push(1);if(0===t.length)return{num:1,den:1};const[a,r]=t;return{num:a,den:r}}function getRelevant(e){return e?e.trim().split(/\\s+/).map((e=>({excluded:"-"===e[0],viewname:e.substring(1)}))):[]}class HTMLResult{static get FAILURE(){return shadow(this,"FAILURE",new HTMLResult(!1,null,null,\ -null))}static get EMPTY(){return shadow(this,"EMPTY",new HTMLResult(!0,null,null,null))}constructor(e,t,a,r){this.success=e;this.html=t;this.bbox=a;this.breakNode=r}isBreak(){return!!this.breakNode}static breakNode(e){return new HTMLResult(!1,null,null,e)}static success(e,t=null){return new HTMLResult(!0,e,t,null)}}class FontFinder{constructor(e){this.fonts=new Map;this.cache=new Map;this.warned=new Set;this.defaultFont=null;this.add(e)}add(e,t=null){for(const t of e)this.addPdfFont(t);for(const\ - e of this.fonts.values())e.regular||(e.regular=e.italic||e.bold||e.bolditalic);if(!t||0===t.size)return;const a=this.fonts.get("PdfJS-Fallback-PdfJS-XFA");for(const e of t)this.fonts.set(e,a)}addPdfFont(e){const t=e.cssFontInfo,a=t.fontFamily;let r=this.fonts.get(a);if(!r){r=Object.create(null);this.fonts.set(a,r);this.defaultFont||(this.defaultFont=r)}let i="";const n=parseFloat(t.fontWeight);0!==parseFloat(t.italicAngle)?i=n>=700?"bolditalic":"italic":n>=700&&(i="bold");if(!i){(e.name.include\ -s("Bold")||e.psName?.includes("Bold"))&&(i="bold");(e.name.includes("Italic")||e.name.endsWith("It")||e.psName?.includes("Italic")||e.psName?.endsWith("It"))&&(i+="italic")}i||(i="regular");r[i]=e}getDefault(){return this.defaultFont}find(e,t=!0){let a=this.fonts.get(e)||this.cache.get(e);if(a)return a;const r=/,|-|_| |bolditalic|bold|italic|regular|it/gi;let i=e.replaceAll(r,"");a=this.fonts.get(i);if(a){this.cache.set(e,a);return a}i=i.toLowerCase();const n=[];for(const[e,t]of this.fonts.entri\ -es())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t);if(0===n.length)for(const[,e]of this.fonts.entries())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(0===n.length){i=i.replaceAll(/psmt|mt/gi,"");for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t)}if(0===n.length)for(const e of this.fonts.values())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(n.length>=1){1!==n.length&&t&&warn(`XFA - \ -Too many choices to guess the correct font: ${e}`);this.cache.set(e,n[0]);return n[0]}if(t&&!this.warned.has(e)){this.warned.add(e);warn(`XFA - Cannot find the font: ${e}`)}return null}}function selectFont(e,t){return"italic"===e.posture?"bold"===e.weight?t.bolditalic:t.italic:"bold"===e.weight?t.bold:t.regular}class FontInfo{constructor(e,t,a,r){this.lineHeight=a;this.paraMargin=t||{top:0,bottom:0,left:0,right:0};if(!e){[this.pdfFont,this.xfaFont]=this.defaultFont(r);return}this.xfaFont={typefa\ -ce:e.typeface,posture:e.posture,weight:e.weight,size:e.size,letterSpacing:e.letterSpacing};const i=r.find(e.typeface);if(i){this.pdfFont=selectFont(e,i);this.pdfFont||([this.pdfFont,this.xfaFont]=this.defaultFont(r))}else[this.pdfFont,this.xfaFont]=this.defaultFont(r)}defaultFont(e){const t=e.find("Helvetica",!1)||e.find("Myriad Pro",!1)||e.find("Arial",!1)||e.getDefault();if(t?.regular){const e=t.regular;return[e,{typeface:e.cssFontInfo.fontFamily,posture:"normal",weight:"normal",size:10,letter\ -Spacing:0}]}return[null,{typeface:"Courier",posture:"normal",weight:"normal",size:10,letterSpacing:0}]}}class FontSelector{constructor(e,t,a,r){this.fontFinder=r;this.stack=[new FontInfo(e,t,a,r)]}pushData(e,t,a){const r=this.stack.at(-1);for(const t of["typeface","posture","weight","size","letterSpacing"])e[t]||(e[t]=r.xfaFont[t]);for(const e of["top","bottom","left","right"])isNaN(t[e])&&(t[e]=r.paraMargin[e]);const i=new FontInfo(e,t,a||r.lineHeight,this.fontFinder);i.pdfFont||(i.pdfFont=r.pd\ -fFont);this.stack.push(i)}popFont(){this.stack.pop()}topFont(){return this.stack.at(-1)}}class TextMeasure{constructor(e,t,a,r){this.glyphs=[];this.fontSelector=new FontSelector(e,t,a,r);this.extraHeight=0}pushData(e,t,a){this.fontSelector.pushData(e,t,a)}popFont(e){return this.fontSelector.popFont()}addPara(){const e=this.fontSelector.topFont();this.extraHeight+=e.paraMargin.top+e.paraMargin.bottom}addString(e){if(!e)return;const t=this.fontSelector.topFont(),a=t.xfaFont.size;if(t.pdfFont){cons\ -t r=t.xfaFont.letterSpacing,i=t.pdfFont,n=i.lineHeight||1.2,s=t.lineHeight||Math.max(1.2,n)*a,o=n-(void 0===i.lineGap?.2:i.lineGap),c=Math.max(1,o)*a,l=a/1e3,h=i.defaultWidth||i.charsToGlyphs(" ")[0].width;for(const t of e.split(/[\\u2029\\n]/)){const e=i.encodeString(t).join(""),a=i.charsToGlyphs(e);for(const e of a){const t=e.width||h;this.glyphs.push([t*l+r,s,c,e.unicode,!1])}this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}else{for(const t of e.split(/[\\u2029\\n]/)){for(const e of t.split(""\ -))this.glyphs.push([a,1.2*a,a,e,!1]);this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}}compute(e){let t=-1,a=0,r=0,i=0,n=0,s=0,o=!1,c=!0;for(let l=0,h=this.glyphs.length;le){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;o=!0;c=!1}else{s=Math.max(m,s);a=n;n+=h;t=l}else if(n+h>e){i+=s;s=m;if(-1!==t){l=t;r=Math.max(r,a);n=0;t=-1;a=0}else{r=Math.max(r,n);n=h}o=!0;c=!1}else{n+=h;s=Ma\ -th.max(m,s)}}r=Math.max(r,n);i+=s+this.extraHeight;return{width:1.02*r,height:i,isBroken:o}}}const bo=/^[^.[]+/,yo=/^[^\\]]+/,wo=0,xo=1,So=2,Ao=3,ko=4,Co=new Map([["$data",(e,t)=>e.datasets?e.datasets.data:e],["$record",(e,t)=>(e.datasets?e.datasets.data:e)[Ss]()[0]],["$template",(e,t)=>e.template],["$connectionSet",(e,t)=>e.connectionSet],["$form",(e,t)=>e.form],["$layout",(e,t)=>e.layout],["$host",(e,t)=>e.host],["$dataWindow",(e,t)=>e.dataWindow],["$event",(e,t)=>e.event],["!",(e,t)=>e.dataset\ -s],["$xfa",(e,t)=>e],["xfa",(e,t)=>e],["$",(e,t)=>t]]),vo=new WeakMap;function parseExpression(e,t,a=!0){let r=e.match(bo);if(!r)return null;let[i]=r;const n=[{name:i,cacheName:"."+i,index:0,js:null,formCalc:null,operator:wo}];let s=i.length;for(;s0&&h.push(e)}if(0!==h.length||o||0!==c)e=isFinite(l)?h.filter((e=>le[l])):h.flat();else{const a=t[vs]();if(!(t=a))return null;c=-1;e=[t]}}return 0===e.length?null:e}function createDataNode(e,t,a){const r=parseExpression(a);if(!r)return null;if(r.some((e=>e.operator===xo)))return null;const i=Co.get(r[0].name);let n=0;if(i){e=i(e,t);n=1}else e=t||e;for(let t=r.length;ne[so]())).join("")}get[Oo](){const e=Object.getPrototypeOf(this);if(!e._attributes){const t=e._attributes=new Set;for(const e of Object.getOwnPropertyNames(this)){if(null===this[e]||this[e]instanceof XFAObject||this[e]instanceof XFAObjectArray)break;t.add(e)}}return shadow(this,Oo,e._attributes)}[Es](e){let t=this;for(;t;){if(t\ -===e)return!0;t=t[vs]()}return!1}[vs](){return this[Uo]}[Cs](){return this[vs]()}[Ss](e=null){return e?this[e]:this[Mo]}[cs](){const e=Object.create(null);this[ss]&&(e.$content=this[ss]);for(const t of Object.getOwnPropertyNames(this)){const a=this[t];null!==a&&(a instanceof XFAObject?e[t]=a[cs]():a instanceof XFAObjectArray?a.isEmpty()||(e[t]=a.dump()):e[t]=a)}return e}[ho](){return null}[co](){return HTMLResult.EMPTY}*[As](){for(const e of this[Ss]())yield e}*[No](e,t){for(const a of this[As](\ -))if(!e||t===e.has(a[Ws])){const e=this[gs](),t=a[co](e);t.success||(this[ls].failingNode=a);yield t}}[us](){return null}[Zn](e,t){this[ls].children.push(e)}[gs](){}[es]({filter:e=null,include:t=!0}){if(this[ls].generator){const e=this[gs](),t=this[ls].failingNode[co](e);if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox);delete this[ls].failingNode}else this[ls].generator=this[No](e,t);for(;;){const e=this[ls].generator.next();if(e.done)break;const t=e.value;if(!t.success)return t;t.html&&th\ -is[Zn](t.html,t.bbox)}this[ls].generator=null;return HTMLResult.EMPTY}[ro](e){this[qo]=new Set(Object.keys(e))}[Po](e){const t=this[Oo],a=this[qo];return[...e].filter((e=>t.has(e)&&!a.has(e)))}[eo](e,t=new Set){for(const a of this[Mo])a[Xo](e,t)}[Xo](e,t){const a=this[Eo](e,t);a?this[Fo](a,e,t):this[eo](e,t)}[Eo](e,t){const{use:a,usehref:r}=this;if(!a&&!r)return null;let i=null,n=null,s=null,o=a;if(r){o=r;r.startsWith("#som(")&&r.endsWith(")")?n=r.slice(5,-1):r.startsWith(".#som(")&&r.endsWith("\ -)")?n=r.slice(6,-1):r.startsWith("#")?s=r.slice(1):r.startsWith(".#")&&(s=r.slice(2))}else a.startsWith("#")?s=a.slice(1):n=a;this.use=this.usehref="";if(s)i=e.get(s);else{i=searchNode(e.get(Qs),this,n,!0,!1);i&&(i=i[0])}if(!i){warn(`XFA - Invalid prototype reference: ${o}.`);return null}if(i[Ws]!==this[Ws]){warn(`XFA - Incompatible prototype: ${i[Ws]} !== ${this[Ws]}.`);return null}if(t.has(i)){warn("XFA - Cycle detected in prototypes use.");return null}t.add(i);const c=i[Eo](e,t);c&&i[Fo](c,e,\ -t);i[eo](e,t);t.delete(i);return i}[Fo](e,t,a){if(a.has(e)){warn("XFA - Cycle detected in prototypes use.");return}!this[ss]&&e[ss]&&(this[ss]=e[ss]);new Set(a).add(e);for(const t of this[Po](e[qo])){this[t]=e[t];this[qo]&&this[qo].add(t)}for(const r of Object.getOwnPropertyNames(this)){if(this[Oo].has(r))continue;const i=this[r],n=e[r];if(i instanceof XFAObjectArray){for(const e of i[Mo])e[Xo](t,a);for(let r=i[Mo].length,s=n[Mo].length;rXFAObject[Do](e))):"object"==typeof e&&null!==e?Object.assign({},e):e}[is](){const e=Object.create(Object.getPrototypeOf(this));for(const t of Object.getOwnPropertySymbols(this))try{e[t]=this[t]}catch{shadow(e,t,this[t])}e[uo]=`${e[Ws]}${Wo++}`;e[Mo]=[];for(const t of Object.getOwnProper\ -tyNames(this)){if(this[Oo].has(t)){e[t]=XFAObject[Do](this[t]);continue}const a=this[t];e[t]=a instanceof XFAObjectArray?new XFAObjectArray(a[jo]):null}for(const t of this[Mo]){const a=t[Ws],r=t[is]();e[Mo].push(r);r[Uo]=e;null===e[a]?e[a]=r:e[a][Mo].push(r)}return e}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[ps](e){return this[e]}[ms](e,t,a=!0){return Array.from(this[bs](e,t,a))}*[bs](e,t,a=!0){if("parent"!==e){for(const a of this[Mo]){a[Ws]===e&&(yield a);a.name===e&&(yiel\ -d a);(t||a[Us]())&&(yield*a[bs](e,t,!1))}a&&this[Oo].has(e)&&(yield new XFAAttribute(this,e,this[e]))}else yield this[Uo]}}class XFAObjectArray{constructor(e=1/0){this[jo]=e;this[Mo]=[]}get isXFAObject(){return!1}get isXFAObjectArray(){return!0}push(e){if(this[Mo].length<=this[jo]){this[Mo].push(e);return!0}warn(`XFA - node "${e[Ws]}" accepts no more than ${this[jo]} children`);return!1}isEmpty(){return 0===this[Mo].length}dump(){return 1===this[Mo].length?this[Mo][0][cs]():this[Mo].map((e=>e[cs\ -]()))}[is](){const e=new XFAObjectArray(this[jo]);e[Mo]=this[Mo].map((e=>e[is]()));return e}get children(){return this[Mo]}clear(){this[Mo].length=0}}class XFAAttribute{constructor(e,t,a){this[Uo]=e;this[Ws]=t;this[ss]=a;this[ns]=!1;this[uo]="attribute"+Wo++}[vs](){return this[Uo]}[Ns](){return!0}[ys](){return this[ss].trim()}[io](e){e=e.value||"";this[ss]=e.toString()}[so](){return this[ss]}[Es](e){return this[Uo]===e||this[Uo][Es](e)}}class XmlObject extends XFAObject{constructor(e,t,a={}){sup\ -er(e,t);this[ss]="";this[Bo]=null;if("#text"!==t){const e=new Map;this[Io]=e;for(const[t,r]of Object.entries(a))e.set(t,new XFAAttribute(this,t,r));if(a.hasOwnProperty(zs)){const e=a[zs].xfa.dataNode;void 0!==e&&("dataGroup"===e?this[Bo]=!1:"dataValue"===e&&(this[Bo]=!0))}}this[ns]=!1}[lo](e){const t=this[Ws];if("#text"===t){e.push(encodeToXmlString(this[ss]));return}const a=utf8StringToString(t),r=this[Hs]===zo?"xfa:":"";e.push(`<${r}${a}`);for(const[t,a]of this[Io].entries()){const r=utf8Strin\ -gToString(t);e.push(` ${r}="${encodeToXmlString(a[ss])}"`)}null!==this[Bo]&&(this[Bo]?e.push(\' xfa:dataNode="dataValue"\'):e.push(\' xfa:dataNode="dataGroup"\'));if(this[ss]||0!==this[Mo].length){e.push(">");if(this[ss])"string"==typeof this[ss]?e.push(encodeToXmlString(this[ss])):this[ss][lo](e);else for(const t of this[Mo])t[lo](e);e.push(``)}else e.push("/>")}[$s](e){if(this[ss]){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];this[ss]=""}this[Qn](e);return!0}[Vs](e\ -){this[ss]+=e}[hs](){if(this[ss]&&this[Mo].length>0){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];delete this[ss]}}[co](){return"#text"===this[Ws]?HTMLResult.success({name:"#text",value:this[ss]}):HTMLResult.EMPTY}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[fs](){return this[Io]}[ps](e){const t=this[Io].get(e);return void 0!==t?t:this[Ss](e)}*[bs](e,t){const a=this[Io].get(e);a&&(yield a);for(const a of this[Mo]){a[Ws]===e&&(yield a);t&&(yield*a[bs](e,t)\ -)}}*[ds](e,t){const a=this[Io].get(e);!a||t&&a[ns]||(yield a);for(const a of this[Mo])yield*a[ds](e,t)}*[xs](e,t,a){for(const r of this[Mo]){r[Ws]!==e||a&&r[ns]||(yield r);t&&(yield*r[xs](e,t,a))}}[Ns](){return null===this[Bo]?0===this[Mo].length||this[Mo][0][Hs]===go.xhtml.id:this[Bo]}[ys](){return null===this[Bo]?0===this[Mo].length?this[ss].trim():this[Mo][0][Hs]===go.xhtml.id?this[Mo][0][so]().trim():null:this[ss].trim()}[io](e){e=e.value||"";this[ss]=e.toString()}[cs](e=!1){const t=Object.c\ -reate(null);e&&(t.$ns=this[Hs]);this[ss]&&(t.$content=this[ss]);t.$name=this[Ws];t.children=[];for(const a of this[Mo])t.children.push(a[cs](e));t.attributes=Object.create(null);for(const[e,a]of this[Io])t.attributes[e]=a[ss];return t}}class ContentObject extends XFAObject{constructor(e,t){super(e,t);this[ss]=""}[Vs](e){this[ss]+=e}[hs](){}}class OptionObject extends ContentObject{constructor(e,t,a){super(e,t);this[_o]=a}[hs](){this[ss]=getKeyword({data:this[ss],defaultValue:this[_o][0],validate\ -:e=>this[_o].includes(e)})}[ts](e){super[ts](e);delete this[_o]}}class StringObject extends ContentObject{[hs](){this[ss]=this[ss].trim()}}class IntegerObject extends ContentObject{constructor(e,t,a,r){super(e,t);this[Ro]=a;this[Ho]=r}[hs](){this[ss]=getInteger({data:this[ss],defaultValue:this[Ro],validate:this[Ho]})}[ts](e){super[ts](e);delete this[Ro];delete this[Ho]}}class Option01 extends IntegerObject{constructor(e,t){super(e,t,0,(e=>1===e))}}class Option10 extends IntegerObject{constructor\ -(e,t){super(e,t,1,(e=>0===e))}}function measureToString(e){return"string"==typeof e?"0px":Number.isInteger(e)?`${e}px`:`${e.toFixed(2)}px`}const $o={anchorType(e,t){const a=e[Cs]();if(a&&(!a.layout||"position"===a.layout)){"transform"in t||(t.transform="");switch(e.anchorType){case"bottomCenter":t.transform+="translate(-50%, -100%)";break;case"bottomLeft":t.transform+="translate(0,-100%)";break;case"bottomRight":t.transform+="translate(-100%,-100%)";break;case"middleCenter":t.transform+="transla\ -te(-50%,-50%)";break;case"middleLeft":t.transform+="translate(0,-50%)";break;case"middleRight":t.transform+="translate(-100%,-50%)";break;case"topCenter":t.transform+="translate(-50%,0)";break;case"topRight":t.transform+="translate(-100%,0)"}}},dimensions(e,t){const a=e[Cs]();let r=e.w;const i=e.h;if(a.layout?.includes("row")){const t=a[ls],i=e.colSpan;let n;if(-1===i){n=Math.sumPrecise(t.columnWidths.slice(t.currentColumn));t.currentColumn=0}else{n=Math.sumPrecise(t.columnWidths.slice(t.current\ -Column,t.currentColumn+i));t.currentColumn=(t.currentColumn+e.colSpan)%t.columnWidths.length}isNaN(n)||(r=e.w=n)}t.width=""!==r?measureToString(r):"auto";t.height=""!==i?measureToString(i):"auto"},position(e,t){const a=e[Cs]();if(!a?.layout||"position"===a.layout){t.position="absolute";t.left=measureToString(e.x);t.top=measureToString(e.y)}},rotate(e,t){if(e.rotate){"transform"in t||(t.transform="");t.transform+=`rotate(-${e.rotate}deg)`;t.transformOrigin="top left"}},presence(e,t){switch(e.pres\ -ence){case"invisible":t.visibility="hidden";break;case"hidden":case"inactive":t.display="none"}},hAlign(e,t){if("para"===e[Ws])switch(e.hAlign){case"justifyAll":t.textAlign="justify-all";break;case"radix":t.textAlign="left";break;default:t.textAlign=e.hAlign}else switch(e.hAlign){case"left":t.alignSelf="start";break;case"center":t.alignSelf="center";break;case"right":t.alignSelf="end"}},margin(e,t){e.margin&&(t.margin=e.margin[ho]().margin)}};function setMinMaxDimensions(e,t){if("position"===e[C\ -s]().layout){e.minW>0&&(t.minWidth=measureToString(e.minW));e.maxW>0&&(t.maxWidth=measureToString(e.maxW));e.minH>0&&(t.minHeight=measureToString(e.minH));e.maxH>0&&(t.maxHeight=measureToString(e.maxH))}}function layoutText(e,t,a,r,i,n){const s=new TextMeasure(t,a,r,i);"string"==typeof e?s.addString(e):e[Ks](s);return s.compute(n)}function layoutNode(e,t){let a=null,r=null,i=!1;if((!e.w||!e.h)&&e.value){let n=0,s=0;if(e.margin){n=e.margin.leftInset+e.margin.rightInset;s=e.margin.topInset+e.margi\ -n.bottomInset}let o=null,c=null;if(e.para){c=Object.create(null);o=""===e.para.lineHeight?null:e.para.lineHeight;c.top=""===e.para.spaceAbove?0:e.para.spaceAbove;c.bottom=""===e.para.spaceBelow?0:e.para.spaceBelow;c.left=""===e.para.marginLeft?0:e.para.marginLeft;c.right=""===e.para.marginRight?0:e.para.marginRight}let l=e.font;if(!l){const t=e[Fs]();let a=e[vs]();for(;a&&a!==t;){if(a.font){l=a.font;break}a=a[vs]()}}const h=(e.w||t.width)-n,u=e[Is].fontFinder;if(e.value.exData&&e.value.exData[ss\ -]&&"text/html"===e.value.exData.contentType){const t=layoutText(e.value.exData[ss],l,c,o,u,h);r=t.width;a=t.height;i=t.isBroken}else{const t=e.value[so]();if(t){const e=layoutText(t,l,c,o,u,h);r=e.width;a=e.height;i=e.isBroken}}null===r||e.w||(r+=n);null===a||e.h||(a+=s)}return{w:r,h:a,isBroken:i}}function computeBbox(e,t,a){let r;if(""!==e.w&&""!==e.h)r=[e.x,e.y,e.w,e.h];else{if(!a)return null;let i=e.w;if(""===i){if(0===e.maxW){const t=e[Cs]();i="position"===t.layout&&""!==t.w?0:e.minW}else i=\ -Math.min(e.maxW,a.width);t.attributes.style.width=measureToString(i)}let n=e.h;if(""===n){if(0===e.maxH){const t=e[Cs]();n="position"===t.layout&&""!==t.h?0:e.minH}else n=Math.min(e.maxH,a.height);t.attributes.style.height=measureToString(n)}r=[e.x,e.y,i,n]}return r}function fixDimensions(e){const t=e[Cs]();if(t.layout?.includes("row")){const a=t[ls],r=e.colSpan;let i;i=-1===r?Math.sumPrecise(a.columnWidths.slice(a.currentColumn)):Math.sumPrecise(a.columnWidths.slice(a.currentColumn,a.currentCol\ -umn+r));isNaN(i)||(e.w=i)}t.layout&&"position"!==t.layout&&(e.x=e.y=0);"table"===e.layout&&""===e.w&&Array.isArray(e.columnWidths)&&(e.w=Math.sumPrecise(e.columnWidths))}function layoutClass(e){switch(e.layout){case"position":default:return"xfaPosition";case"lr-tb":return"xfaLrTb";case"rl-row":return"xfaRlRow";case"rl-tb":return"xfaRlTb";case"row":return"xfaRow";case"table":return"xfaTable";case"tb":return"xfaTb"}}function toStyle(e,...t){const a=Object.create(null);for(const r of t){const t=e[r\ -];if(null!==t)if($o.hasOwnProperty(r))$o[r](e,a);else if(t instanceof XFAObject){const e=t[ho]();e?Object.assign(a,e):warn(`(DEBUG) - XFA - style for ${r} not implemented yet`)}}return a}function createWrapper(e,t){const{attributes:a}=t,{style:r}=a,i={name:"div",attributes:{class:["xfaWrapper"],style:Object.create(null)},children:[]};a.class.push("xfaWrapped");if(e.border){const{widths:a,insets:n}=e.border[ls];let s,o,c=n[0],l=n[3];const h=n[0]+n[2],u=n[1]+n[3];switch(e.border.hand){case"even":c\ --=a[0]/2;l-=a[3]/2;s=`calc(100% + ${(a[1]+a[3])/2-u}px)`;o=`calc(100% + ${(a[0]+a[2])/2-h}px)`;break;case"left":c-=a[0];l-=a[3];s=`calc(100% + ${a[1]+a[3]-u}px)`;o=`calc(100% + ${a[0]+a[2]-h}px)`;break;case"right":s=u?`calc(100% - ${u}px)`:"100%";o=h?`calc(100% - ${h}px)`:"100%"}const d=["xfaBorder"];isPrintOnly(e.border)&&d.push("xfaPrintOnly");const f={name:"div",attributes:{class:d,style:{top:`${c}px`,left:`${l}px`,width:s,height:o}},children:[]};for(const e of["border","borderWidth","borderC\ -olor","borderRadius","borderStyle"])if(void 0!==r[e]){f.attributes.style[e]=r[e];delete r[e]}i.children.push(f,t)}else i.children.push(t);for(const e of["background","backgroundClip","top","left","width","height","minWidth","minHeight","maxWidth","maxHeight","transform","transformOrigin","visibility"])if(void 0!==r[e]){i.attributes.style[e]=r[e];delete r[e]}i.attributes.style.position="absolute"===r.position?"absolute":"relative";delete r.position;if(r.alignSelf){i.attributes.style.alignSelf=r.a\ -lignSelf;delete r.alignSelf}return i}function fixTextIndent(e){const t=getMeasurement(e.textIndent,"0px");if(t>=0)return;const a="padding"+("left"===("right"===e.textAlign?"right":"left")?"Left":"Right"),r=getMeasurement(e[a],"0px");e[a]=r-t+"px"}function setAccess(e,t){switch(e.access){case"nonInteractive":t.push("xfaNonInteractive");break;case"readOnly":t.push("xfaReadOnly");break;case"protected":t.push("xfaDisabled")}}function isPrintOnly(e){return e.relevant.length>0&&!e.relevant[0].excluded\ -&&"print"===e.relevant[0].viewname}function getCurrentPara(e){const t=e[Fs]()[ls].paraStack;return t.length?t.at(-1):null}function setPara(e,t,a){if(a.attributes.class?.includes("xfaRich")){if(t){""===e.h&&(t.height="auto");""===e.w&&(t.width="auto")}const r=getCurrentPara(e);if(r){const e=a.attributes.style;e.display="flex";e.flexDirection="column";switch(r.vAlign){case"top":e.justifyContent="start";break;case"bottom":e.justifyContent="end";break;case"middle":e.justifyContent="center"}const t=r\ -[ho]();for(const[a,r]of Object.entries(t))a in e||(e[a]=r)}}}function setFontFamily(e,t,a,r){if(!a){delete r.fontFamily;return}const i=stripQuotes(e.typeface);r.fontFamily=`"${i}"`;const n=a.find(i);if(n){const{fontFamily:a}=n.regular.cssFontInfo;a!==i&&(r.fontFamily=`"${a}"`);const s=getCurrentPara(t);if(s&&""!==s.lineHeight)return;if(r.lineHeight)return;const o=selectFont(e,n);o&&(r.lineHeight=Math.max(1.2,o.lineHeight))}}function fixURL(e){const t=createValidAbsoluteUrl(e,null,{addDefaultProt\ -ocol:!0,tryConvertEncoding:!0});return t?t.href:null}function createLine(e,t){return{name:"div",attributes:{class:["lr-tb"===e.layout?"xfaLr":"xfaRl"]},children:t}}function flushHTML(e){if(!e[ls])return null;const t={name:"div",attributes:e[ls].attributes,children:e[ls].children};if(e[ls].failingNode){const a=e[ls].failingNode[us]();a&&(e.layout.endsWith("-tb")?t.children.push(createLine(e,[a])):t.children.push(a))}return 0===t.children.length?null:t}function addHTML(e,t,a){const r=e[ls],i=r.ava\ -ilableSpace,[n,s,o,c]=a;switch(e.layout){case"position":r.width=Math.max(r.width,n+o);r.height=Math.max(r.height,s+c);r.children.push(t);break;case"lr-tb":case"rl-tb":if(!r.line||1===r.attempt){r.line=createLine(e,[]);r.children.push(r.line);r.numberInLine=0}r.numberInLine+=1;r.line.children.push(t);if(0===r.attempt){r.currentWidth+=o;r.height=Math.max(r.height,r.prevHeight+c)}else{r.currentWidth=o;r.prevHeight=r.height;r.height+=c;r.attempt=0}r.width=Math.max(r.width,r.currentWidth);break;case"\ -rl-row":case"row":{r.children.push(t);r.width+=o;r.height=Math.max(r.height,c);const e=measureToString(r.height);for(const t of r.children)t.attributes.style.height=e;break}case"table":case"tb":r.width=MathClamp(o,r.width,i.width);r.height+=c;r.children.push(t)}}function getAvailableSpace(e){const t=e[ls].availableSpace,a=e.margin?e.margin.topInset+e.margin.bottomInset:0,r=e.margin?e.margin.leftInset+e.margin.rightInset:0;switch(e.layout){case"lr-tb":case"rl-tb":return 0===e[ls].attempt?{width:t\ -.width-r-e[ls].currentWidth,height:t.height-a-e[ls].prevHeight}:{width:t.width-r,height:t.height-a-e[ls].height};case"rl-row":case"row":return{width:Math.sumPrecise(e[ls].columnWidths.slice(e[ls].currentColumn)),height:t.height-r};case"table":case"tb":return{width:t.width-r,height:t.height-a-e[ls].height};default:return t}}function checkDimensions(e,t){if(null===e[Fs]()[ls].firstUnsplittable)return!0;if(0===e.w||0===e.h)return!0;const a=e[Cs](),r=a[ls]?.attempt||0,[,i,n,s]=function getTransforme\ -dBBox(e){let t,a,r=""===e.w?NaN:e.w,i=""===e.h?NaN:e.h,[n,s]=[0,0];switch(e.anchorType||""){case"bottomCenter":[n,s]=[r/2,i];break;case"bottomLeft":[n,s]=[0,i];break;case"bottomRight":[n,s]=[r,i];break;case"middleCenter":[n,s]=[r/2,i/2];break;case"middleLeft":[n,s]=[0,i/2];break;case"middleRight":[n,s]=[r,i/2];break;case"topCenter":[n,s]=[r/2,0];break;case"topRight":[n,s]=[r,0]}switch(e.rotate||0){case 0:[t,a]=[-n,-s];break;case 90:[t,a]=[-s,n];[r,i]=[i,-r];break;case 180:[t,a]=[n,s];[r,i]=[-r,-\ -i];break;case 270:[t,a]=[s,-n];[r,i]=[-i,r]}return[e.x+t+Math.min(0,r),e.y+a+Math.min(0,i),Math.abs(r),Math.abs(i)]}(e);switch(a.layout){case"lr-tb":case"rl-tb":return 0===r?e[Fs]()[ls].noLayoutFailure?""!==e.w?Math.round(n-t.width)<=2:t.width>2:!(""!==e.h&&Math.round(s-t.height)>2)&&(""!==e.w?Math.round(n-t.width)<=2||0===a[ls].numberInLine&&t.height>2:t.width>2):!!e[Fs]()[ls].noLayoutFailure||!(""!==e.h&&Math.round(s-t.height)>2)&&((""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2);ca\ -se"table":case"tb":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||e[js]()?(""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2:Math.round(s-t.height)<=2);case"position":if(e[Fs]()[ls].noLayoutFailure)return!0;if(""===e.h||Math.round(s+i-t.height)<=2)return!0;return s+i>e[Fs]()[ls].currentContentArea.h;case"rl-row":case"row":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||Math.round(s-t.height)<=2);default:return!0}}const Go=go.template.id,Vo="http://www.w3.org/2000/svg",Ko=/^H(\\d+)$/,Jo=n\ -ew Set(["image/gif","image/jpeg","image/jpg","image/pjpeg","image/png","image/apng","image/x-png","image/bmp","image/x-ms-bmp","image/tiff","image/tif","application/octet-stream"]),Yo=[[[66,77],"image/bmp"],[[255,216,255],"image/jpeg"],[[73,73,42,0],"image/tiff"],[[77,77,0,42],"image/tiff"],[[71,73,70,56,57,97],"image/gif"],[[137,80,78,71,13,10,26,10],"image/png"]];function getBorderDims(e){if(!e||!e.border)return{w:0,h:0};const t=e.border[ws]();return t?{w:t.widths[0]+t.widths[2]+t.insets[0]+t.\ -insets[2],h:t.widths[1]+t.widths[3]+t.insets[1]+t.insets[3]}:{w:0,h:0}}function hasMargin(e){return e.margin&&(e.margin.topInset||e.margin.rightInset||e.margin.bottomInset||e.margin.leftInset)}function _setValue(e,t){if(!e.value){const t=new Value({});e[Qn](t);e.value=t}e.value[io](t)}function*getContainedChildren(e){for(const t of e[Ss]())t instanceof SubformSet?yield*t[As]():yield t}function isRequired(e){return"error"===e.validate?.nullTest}function setTabIndex(e){for(;e;){if(!e.traversal){e[\ -no]=e[vs]()[no];return}if(e[no])return;let t=null;for(const a of e.traversal[Ss]())if("next"===a.operation){t=a;break}if(!t||!t.ref){e[no]=e[vs]()[no];return}const a=e[Fs]();e[no]=++a[no];const r=a[to](t.ref,e);if(!r)return;e=r[0]}}function applyAssist(e,t){const a=e.assist;if(a){const e=a[co]();e&&(t.title=e);const r=a.role.match(Ko);if(r){const e="heading",a=r[1];t.role=e;t["aria-level"]=a}}if("table"===e.layout)t.role="table";else if("row"===e.layout)t.role="row";else{const a=e[vs]();"row"===\ -a.layout&&(t.role="TH"===a.assist?.role?"columnheader":"cell")}}function ariaLabel(e){if(!e.assist)return null;const t=e.assist;return t.speak&&""!==t.speak[ss]?t.speak[ss]:t.toolTip?t.toolTip[ss]:null}function valueToHtml(e){return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:Object.create(null)},children:[{name:"span",attributes:{style:Object.create(null)},value:e}]})}function setFirstUnsplittable(e){const t=e[Fs]();if(null===t[ls].firstUnsplittable){t[ls].firstUnsplittab\ -le=e;t[ls].noLayoutFailure=!0}}function unsetFirstUnsplittable(e){const t=e[Fs]();t[ls].firstUnsplittable===e&&(t[ls].noLayoutFailure=!1)}function handleBreak(e){if(e[ls])return!1;e[ls]=Object.create(null);if("auto"===e.targetType)return!1;const t=e[Fs]();let a=null;if(e.target){a=t[to](e.target,e[vs]());if(!a)return!1;a=a[0]}const{currentPageArea:r,currentContentArea:i}=t[ls];if("pageArea"===e.targetType){a instanceof PageArea||(a=null);if(e.startNew){e[ls].target=a||r;return!0}if(a&&a!==r){e[l\ -s].target=a;return!0}return!1}a instanceof ContentArea||(a=null);const n=a&&a[vs]();let s,o=n;if(e.startNew)if(a){const e=n.contentArea.children,t=e.indexOf(i),r=e.indexOf(a);-1!==t&&te;r[ls].noLayoutFailure=!0;const s=t[co](a);e[Zn]\ -(s.html,s.bbox);r[ls].noLayoutFailure=i;t[Cs]=n}class AppearanceFilter extends StringObject{constructor(e){super(Go,"appearanceFilter");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Arc extends XFAObject{constructor(e){super(Go,"arc",!0);this.circular=getInteger({data:e.circular,defaultValue:0,validate:e=>1===e});this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.startAngle=getFloat({da\ -ta:e.startAngle,defaultValue:0,validate:e=>!0});this.sweepAngle=getFloat({data:e.sweepAngle,defaultValue:360,validate:e=>!0});this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null;this.fill=null}[co](){const e=this.edge||new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;let r;const i={xmlns:Vo,style:{width:"100%",height:"100%\ -",overflow:"visible"}};if(360===this.sweepAngle)r={name:"ellipse",attributes:{xmlns:Vo,cx:"50%",cy:"50%",rx:"50%",ry:"50%",style:a}};else{const e=this.startAngle*Math.PI/180,t=this.sweepAngle*Math.PI/180,n=this.sweepAngle>180?1:0,[s,o,c,l]=[50*(1+Math.cos(e)),50*(1-Math.sin(e)),50*(1+Math.cos(e+t)),50*(1-Math.sin(e+t))];r={name:"path",attributes:{xmlns:Vo,d:`M ${s} ${o} A 50 50 0 ${n} 0 ${c} ${l}`,vectorEffect:"non-scaling-stroke",style:a}};Object.assign(i,{viewBox:"0 0 100 100",preserveAspectRa\ -tio:"none"})}const n={name:"svg",children:[r],attributes:i};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[n]});n.attributes.style.position="absolute";return HTMLResult.success(n)}}class Area extends XFAObject{constructor(e){super(Go,"area",!0);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);\ -this.use=e.use||"";this.usehref=e.usehref||"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null;this.area=new XFAObjectArray;this.draw=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Us](){return!0}[Rs](){return!0}[Zn](e,t){const[a,r,i,n]=t;this[ls].width=Math.max(this[ls].w\ -idth,a+i);this[ls].height=Math.max(this[ls].height,r+n);this[ls].children.push(e)}[gs](){return this[ls].availableSpace}[co](e){const t=toStyle(this,"position"),a={style:t,id:this[uo],class:["xfaArea"]};isPrintOnly(this)&&a.class.push("xfaPrintOnly");this.name&&(a.xfaName=this.name);const r=[];this[ls]={children:r,width:0,height:0,availableSpace:e};const i=this[es]({filter:new Set(["area","draw","field","exclGroup","subform","subformSet"]),include:!0});if(!i.success){if(i.isBreak())return i;dele\ -te this[ls];return HTMLResult.FAILURE}t.width=measureToString(this[ls].width);t.height=measureToString(this[ls].height);const n={name:"div",attributes:a,children:r},s=[this.x,this.y,this[ls].width,this[ls].height];delete this[ls];return HTMLResult.success(n,s)}}class Assist extends XFAObject{constructor(e){super(Go,"assist",!0);this.id=e.id||"";this.role=e.role||"";this.use=e.use||"";this.usehref=e.usehref||"";this.speak=null;this.toolTip=null}[co](){return this.toolTip?.[ss]||null}}class Barcod\ -e extends XFAObject{constructor(e){super(Go,"barcode",!0);this.charEncoding=getKeyword({data:e.charEncoding?e.charEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.checksum=getStringOption(e.checksum,["none","1mod10","1mod10_1mod11","2mod10","auto"]);this.dataColumnCount=getInteger({data:e.dataColumnCount,defaultValue:-1,validate:e=>e>=0}\ -);this.dataLength=getInteger({data:e.dataLength,defaultValue:-1,validate:e=>e>=0});this.dataPrep=getStringOption(e.dataPrep,["none","flateCompress"]);this.dataRowCount=getInteger({data:e.dataRowCount,defaultValue:-1,validate:e=>e>=0});this.endChar=e.endChar||"";this.errorCorrectionLevel=getInteger({data:e.errorCorrectionLevel,defaultValue:-1,validate:e=>e>=0&&e<=8});this.id=e.id||"";this.moduleHeight=getMeasurement(e.moduleHeight,"5mm");this.moduleWidth=getMeasurement(e.moduleWidth,"0.25mm");thi\ -s.printCheckDigit=getInteger({data:e.printCheckDigit,defaultValue:0,validate:e=>1===e});this.rowColumnRatio=getRatio(e.rowColumnRatio);this.startChar=e.startChar||"";this.textLocation=getStringOption(e.textLocation,["below","above","aboveEmbedded","belowEmbedded","none"]);this.truncate=getInteger({data:e.truncate,defaultValue:0,validate:e=>1===e});this.type=getStringOption(e.type?e.type.toLowerCase():"",["aztec","codabar","code2of5industrial","code2of5interleaved","code2of5matrix","code2of5stand\ -ard","code3of9","code3of9extended","code11","code49","code93","code128","code128a","code128b","code128c","code128sscc","datamatrix","ean8","ean8add2","ean8add5","ean13","ean13add2","ean13add5","ean13pwcd","fim","logmars","maxicode","msi","pdf417","pdf417macro","plessey","postauscust2","postauscust3","postausreplypaid","postausstandard","postukrm4scc","postusdpbc","postusimb","postusstandard","postus5zip","qrcode","rfid","rss14","rss14expanded","rss14limited","rss14stacked","rss14stackedomni","rs\ -s14truncated","telepen","ucc128","ucc128random","ucc128sscc","upca","upcaadd2","upcaadd5","upcapwcd","upce","upceadd2","upceadd5","upcean2","upcean5","upsmaxicode"]);this.upsMode=getStringOption(e.upsMode,["usCarrier","internationalCarrier","secureSymbol","standardSymbol"]);this.use=e.use||"";this.usehref=e.usehref||"";this.wideNarrowRatio=getRatio(e.wideNarrowRatio);this.encrypt=null;this.extras=null}}class Bind extends XFAObject{constructor(e){super(Go,"bind",!0);this.match=getStringOption(e.m\ -atch,["once","dataRef","global","none"]);this.ref=e.ref||"";this.picture=null}}class BindItems extends XFAObject{constructor(e){super(Go,"bindItems");this.connection=e.connection||"";this.labelRef=e.labelRef||"";this.ref=e.ref||"";this.valueRef=e.valueRef||""}}class Bookend extends XFAObject{constructor(e){super(Go,"bookend");this.id=e.id||"";this.leader=e.leader||"";this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}}class BooleanElement extends Option01{constructor(e){sup\ -er(Go,"boolean");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[co](e){return valueToHtml(1===this[ss]?"1":"0")}}class Border extends XFAObject{constructor(e){super(Go,"border",!0);this.break=getStringOption(e.break,["close","open"]);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehr\ -ef=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.extras=null;this.fill=null;this.margin=null}[ws](){if(!this[ls]){const e=this.edge.children.slice();if(e.length<4){const t=e.at(-1)||new Edge({});for(let a=e.length;a<4;a++)e.push(t)}const t=e.map((e=>e.thickness)),a=[0,0,0,0];if(this.margin){a[0]=this.margin.topInset;a[1]=this.margin.rightInset;a[2]=this.margin.bottomInset;a[3]=this.margin.leftInset}this[ls]={widths:t,insets:a,edges:e}}return this[ls]}[ho]()\ -{const{edges:e}=this[ws](),t=e.map((e=>{const t=e[ho]();t.color||="#000000";return t})),a=Object.create(null);this.margin&&Object.assign(a,this.margin[ho]());"visible"===this.fill?.presence&&Object.assign(a,this.fill[ho]());if(this.corner.children.some((e=>0!==e.radius))){const e=this.corner.children.map((e=>e[ho]()));if(2===e.length||3===e.length){const t=e.at(-1);for(let a=e.length;a<4;a++)e.push(t)}a.borderRadius=e.map((e=>e.radius)).join(" ")}switch(this.presence){case"invisible":case"hidden\ -":a.borderStyle="";break;case"inactive":a.borderStyle="none";break;default:a.borderStyle=t.map((e=>e.style)).join(" ")}a.borderWidth=t.map((e=>e.width)).join(" ");a.borderColor=t.map((e=>e.color)).join(" ");return a}}class Break extends XFAObject{constructor(e){super(Go,"break",!0);this.after=getStringOption(e.after,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.afterTarget=e.afterTarget||"";this.before=getStringOption(e.before,["auto","contentArea","pageArea","pageEven","pageOdd"]\ -);this.beforeTarget=e.beforeTarget||"";this.bookendLeader=e.bookendLeader||"";this.bookendTrailer=e.bookendTrailer||"";this.id=e.id||"";this.overflowLeader=e.overflowLeader||"";this.overflowTarget=e.overflowTarget||"";this.overflowTrailer=e.overflowTrailer||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class BreakAfter extends XFAObject{constructor(e){super(Go,"breakAfter",!0);this.id=e.id||"";this.\ -leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}}class BreakBefore extends XFAObject{constructor(e){super(Go,"breakBefore",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.targe\ -t=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}[co](e){this[ls]={};return HTMLResult.FAILURE}}class Button extends XFAObject{constructor(e){super(Go,"button",!0);this.highlight=getStringOption(e.highlight,["inverted","none","outline","push"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[co](e){const t=this[vs]()[vs](),a={nam\ -e:"button",attributes:{id:this[uo],class:["xfaButton"],style:{}},children:[]};for(const e of t.event.children){if("click"!==e.activity||!e.script)continue;const t=recoverJsURL(e.script[ss]);if(!t)continue;const r=fixURL(t.url);r&&a.children.push({name:"a",attributes:{id:"link"+this[uo],href:r,newWindow:t.newWindow,class:["xfaLink"],style:{}},children:[]})}return HTMLResult.success(a)}}class Calculate extends XFAObject{constructor(e){super(Go,"calculate",!0);this.id=e.id||"";this.override=getStri\ -ngOption(e.override,["disabled","error","ignore","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.script=null}}class Caption extends XFAObject{constructor(e){super(Go,"caption",!0);this.id=e.id||"";this.placement=getStringOption(e.placement,["left","bottom","inline","right","top"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.reserve=Math.ceil(getMeasurement(e.reserve));this.use=e.use||"";this.usehref=\ -e.usehref||"";this.extras=null;this.font=null;this.margin=null;this.para=null;this.value=null}[io](e){_setValue(this,e)}[ws](e){if(!this[ls]){let{width:t,height:a}=e;switch(this.placement){case"left":case"right":case"inline":t=this.reserve<=0?t:this.reserve;break;case"top":case"bottom":a=this.reserve<=0?a:this.reserve}this[ls]=layoutNode(this,{width:t,height:a})}return this[ls]}[co](e){if(!this.value)return HTMLResult.EMPTY;this[Ys]();const t=this.value[co](e).html;if(!t){this[Js]();return HTMLR\ -esult.EMPTY}const a=this.reserve;if(this.reserve<=0){const{w:t,h:a}=this[ws](e);switch(this.placement){case"left":case"right":case"inline":this.reserve=t;break;case"top":case"bottom":this.reserve=a}}const r=[];"string"==typeof t?r.push({name:"#text",value:t}):r.push(t);const i=toStyle(this,"font","margin","visibility");switch(this.placement){case"left":case"right":this.reserve>0&&(i.width=measureToString(this.reserve));break;case"top":case"bottom":this.reserve>0&&(i.height=measureToString(this.r\ -eserve))}setPara(this,null,t);this[Js]();this.reserve=a;return HTMLResult.success({name:"div",attributes:{style:i,class:["xfaCaption"]},children:r})}}class Certificate extends StringObject{constructor(e){super(Go,"certificate");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Certificates extends XFAObject{constructor(e){super(Go,"certificates",!0);this.credentialServerPolicy=getStringOption(e.credentialServerPolicy,["optional","required"]);this.id=e.id|\ -|"";this.url=e.url||"";this.urlPolicy=e.urlPolicy||"";this.use=e.use||"";this.usehref=e.usehref||"";this.encryption=null;this.issuers=null;this.keyUsage=null;this.oids=null;this.signing=null;this.subjectDNs=null}}class CheckButton extends XFAObject{constructor(e){super(Go,"checkButton",!0);this.id=e.id||"";this.mark=getStringOption(e.mark,["default","check","circle","cross","diamond","square","star"]);this.shape=getStringOption(e.shape,["square","round"]);this.size=getMeasurement(e.size,"10pt");\ -this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"margin"),a=measureToString(this.size);t.width=t.height=a;let r,i,n;const s=this[vs]()[vs](),o=s.items.children.length&&s.items.children[0][co]().html||[],c={on:(void 0!==o[0]?o[0]:"on").toString(),off:(void 0!==o[1]?o[1]:"off").toString()},l=(s.value?.[so]()||"off")===c.on||void 0,h=s[Cs](),u=s[uo];let d;if(h instanceof ExclGroup){n=h[uo];r="radio";i="xfaRadio";d=h[os]?.\ -[uo]||h[uo]}else{r="checkbox";i="xfaCheckbox";d=s[os]?.[uo]||s[uo]}const f={name:"input",attributes:{class:[i],style:t,fieldId:u,dataId:d,type:r,checked:l,xfaOn:c.on,xfaOff:c.off,"aria-label":ariaLabel(s),"aria-required":!1}};n&&(f.attributes.name=n);if(isRequired(s)){f.attributes["aria-required"]=!0;f.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[f]})}}class ChoiceList extends XFAObject{constructor(e){super(Go,"choiceList",!0);this.comm\ -itOn=getStringOption(e.commitOn,["select","exit"]);this.id=e.id||"";this.open=getStringOption(e.open,["userControl","always","multiSelect","onEntry"]);this.textEntry=getInteger({data:e.textEntry,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","margin"),a=this[vs]()[vs](),r={fontSize:`calc(${a.font?.size||10}px * var(--total-scale-factor))`},i=[];if(a.items.children.length>0){\ -const e=a.items;let t=0,n=0;if(2===e.children.length){t=e.children[0].save;n=1-t}const s=e.children[t][co]().html,o=e.children[n][co]().html;let c=!1;const l=a.value?.[so]()||"";for(let e=0,t=s.length;eMathClamp(parseInt(e.trim(),10),0,255))).map((e=>isNaN(e)?0:e));if(n.length<3)return{r:a,g:r,b:i};[a,r,i]=n;return{r:a,g:r,b:i}}(e.value):"";this.extras=null}[Ts](){return!1}[ho](){return this.value?Util.makeHexColor(this.value.r,this.value.g,this.value.b):null}}class Comb extends XFAObject{constructor(e){super(Go,"comb");this.id=e.id||"";this.numberOfCells=getInteger({data:e.numberOfCells,defaultValue:0,validate:e=>e>=0});this.use=e.use||"";th\ -is.usehref=e.usehref||""}}class Connect extends XFAObject{constructor(e){super(Go,"connect",!0);this.connection=e.connection||"";this.id=e.id||"";this.ref=e.ref||"";this.usage=getStringOption(e.usage,["exportAndImport","exportOnly","importOnly"]);this.use=e.use||"";this.usehref=e.usehref||"";this.picture=null}}class ContentArea extends XFAObject{constructor(e){super(Go,"contentArea",!0);this.h=getMeasurement(e.h);this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);this.us\ -e=e.use||"";this.usehref=e.usehref||"";this.w=getMeasurement(e.w);this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null}[co](e){const t={left:measureToString(this.x),top:measureToString(this.y),width:measureToString(this.w),height:measureToString(this.h)},a=["xfaContentarea"];isPrintOnly(this)&&a.push("xfaPrintOnly");return HTMLResult.success({name:"div",children:[],attributes:{style:t,class:a,id:this[uo]}})}}class Corner extends XFAObject{constructor(\ -e){super(Go,"corner",!0);this.id=e.id||"";this.inverted=getInteger({data:e.inverted,defaultValue:0,validate:e=>1===e});this.join=getStringOption(e.join,["square","round"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.radius=getMeasurement(e.radius);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.us\ -ehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");e.radius=measureToString("square"===this.join?0:this.radius);return e}}class DateElement extends ContentObject{constructor(e){super(Go,"date");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTime extends ContentObject{constructor(e){super(\ -Go,"dateTime");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTimeEdit extends XFAObject{constructor(e){super(Go,"dateTimeEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.picker=getStringOption(e.picker,["host","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=\ -null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Decimal extends ContentObject{constructor(e)\ -{super(Go,"decimal");this.fracDigits=getInteger({data:e.fracDigits,defaultValue:2,validate:e=>!0});this.id=e.id||"";this.leadDigits=getInteger({data:e.leadDigits,defaultValue:-1,validate:e=>!0});this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class DefaultUi extends XFAObject{constructor(e){super(Go,"defaultUi",!0);this.id=e.id||"";this.use=e.\ -use||"";this.usehref=e.usehref||"";this.extras=null}}class Desc extends XFAObject{constructor(e){super(Go,"desc",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class Digest\ -Method extends OptionObject{constructor(e){super(Go,"digestMethod",["","SHA1","SHA256","SHA512","RIPEMD160"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class DigestMethods extends XFAObject{constructor(e){super(Go,"digestMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.digestMethod=new XFAObjectArray}}class Draw extends XFAObject{constructor(e){super(Go,"draw",!0);this.anchorType=getSt\ 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-e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.border=null;this.caption=null;this.desc=null;this.extras=nu\ -ll;this.font=null;this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.value=null;this.setProperty=new XFAObjectArray}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;fixDimensions(this);this[Ys]();const t=this.w,a=this.h,{w:r,h:i,isBroken:n}=layoutNode(this,e);if(r&&""===this.w){if(n&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}this.w=r}i&&""===this.h&&(this.h=i);setFirs\ -tUnsplittable(this);if(!checkDimensions(this,e)){this.w=t;this.h=a;this[Js]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const s=toStyle(this,"font","hAlign","dimensions","position","presence","rotate","anchorType","border","margin");setMinMaxDimensions(this,s);if(s.margin){s.padding=s.margin;delete s.margin}const o=["xfaDraw"];this.font&&o.push("xfaFont");isPrintOnly(this)&&o.push("xfaPrintOnly");const c={style:s,id:this[uo],class:o};this.name&&(c.xfaName=this.name);const l={name:"d\ -iv",attributes:c,children:[]};applyAssist(this,c);const h=computeBbox(this,l,e),u=this.value?this.value[co](e).html:null;if(null===u){this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}l.children.push(u);setPara(this,s,u);this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}}class Edge extends XFAObject{constructor(e){super(Go,"edge",!0);this.cap=getStringOption(e.cap,["square","butt","round"]);this.id=e.id||"";this.presence=getStringOption\ -(e.presence,["visible","hidden","inactive","invisible"]);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");Object.assign(e,{linecap:this.cap,width:measureToString(this.thickness),color:this.color?this.color[ho]():"#000000",style:""});if("visible"!==t\ -his.presence)e.style="none";else switch(this.stroke){case"solid":e.style="solid";break;case"dashDot":case"dashDotDot":case"dashed":e.style="dashed";break;case"dotted":e.style="dotted";break;case"embossed":e.style="ridge";break;case"etched":e.style="groove";break;case"lowered":e.style="inset";break;case"raised":e.style="outset"}return e}}class Encoding extends OptionObject{constructor(e){super(Go,"encoding",["adbe.x509.rsa_sha1","adbe.pkcs7.detached","adbe.pkcs7.sha1"]);this.id=e.id||"";this.use=\ -e.use||"";this.usehref=e.usehref||""}}class Encodings extends XFAObject{constructor(e){super(Go,"encodings",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encoding=new XFAObjectArray}}class Encrypt extends XFAObject{constructor(e){super(Go,"encrypt",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=null}}class EncryptData extends XFAObject{constructor(e){super(Go,"encryptData",!0)\ -;this.id=e.id||"";this.operation=getStringOption(e.operation,["encrypt","decrypt"]);this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Encryption extends XFAObject{constructor(e){super(Go,"encryption",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class EncryptionMethod extends OptionObject{constructor(e){super(Go,"encry\ -ptionMethod",["","AES256-CBC","TRIPLEDES-CBC","AES128-CBC","AES192-CBC"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EncryptionMethods extends XFAObject{constructor(e){super(Go,"encryptionMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encryptionMethod=new XFAObjectArray}}class Event extends XFAObject{constructor(e){super(Go,"event",!0);this.activity=getStringOption(e.activity,["\ 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ContentObject{constructor(e){super(Go,"exData");this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.maxLength=getInteger({data:e.maxLength,defaultValue:-1,validate:e=>e>=-1});this.name=e.name||"";this.rid=e.rid||"";this.transferEncoding=getStringOption(e.transferEncoding,["none","base64","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[Bs](){return"text/htm\ -l"===this.contentType}[$s](e){if("text/html"===this.contentType&&e[Hs]===go.xhtml.id){this[ss]=e;return!0}if("text/xml"===this.contentType){this[ss]=e;return!0}return!1}[co](e){return"text/html"===this.contentType&&this[ss]?this[ss][co](e):HTMLResult.EMPTY}}class ExObject extends XFAObject{constructor(e){super(Go,"exObject",!0);this.archive=e.archive||"";this.classId=e.classId||"";this.codeBase=e.codeBase||"";this.codeType=e.codeType||"";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";t\ -his.usehref=e.usehref||"";this.extras=null;this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class ExclGroup extends XFAObject{constructor(e){super(Go,"exclGroup",!0);this.access=getStringOption(e.access,["ope\ -n","nonInteractive","protected","readOnly"]);this.accessKey=e.accessKey||"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.l\ -ayout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(\ -e.y,"0pt");this.assist=null;this.bind=null;this.border=null;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.margin=null;this.para=null;this.traversal=null;this.validate=null;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.field=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[Ts](){return!0}[io](e){for(const t of this.field.children){if(!t.value){const e=new Value({});t[Qn](e);t.value=e}t.value[io](e)}}[_s](){return 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r=this[js]();r||setFirstUnsplittable(this);if(!check\ -Dimensions(this,e))return HTMLResult.FAILURE;const i=new Set(["field"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const n=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),s=["xfaExclgroup"],o=layoutClass(this);o&&s.push(o);isPrintOnly(this)&&s.push("xfaPrintOnly");a.style=n;a.class=s;this.name&&(a.xfaName=this.name);this[Ys]();const c="lr-tb"===this.lay\ 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-eep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.validate=null;this.value=null;this.bindItems=new XFAObjectArray;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if(!this.ui){this.ui=new Ui({});this.ui[Is]=this[Is];this[Qn](this.ui);let e;switch(this.items.children.length){case 0:e=new TextEdit({});this.ui.textEdit=e;break;case 1:e=new CheckButton({})\ -;this.ui.checkButton=e;break;case 2:e=new ChoiceList({});this.ui.choiceList=e}this.ui[Qn](e)}if(!this.ui||"hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;this.caption&&delete this.caption[ls];this[Ys]();const t=this.caption?this.caption[co](e).html:null,a=this.w,r=this.h;let i=0,n=0;if(this.margin){i=this.margin.leftInset+this.margin.rightInset;n=this.margin.topInset+this.margin.bottomInset}let s=null;if(""===this.w||""===this.h){let t=null,a=\ -null,r=0,o=0;if(this.ui.checkButton)r=o=this.ui.checkButton.size;else{const{w:t,h:a}=layoutNode(this,e);if(null!==t){r=t;o=a}else o=function fonts_getMetrics(e,t=!1){let a=null;if(e){const t=stripQuotes(e.typeface),r=e[Is].fontFinder.find(t);a=selectFont(e,r)}if(!a)return{lineHeight:12,lineGap:2,lineNoGap:10};const r=e.size||10,i=a.lineHeight?Math.max(t?0:1.2,a.lineHeight):1.2,n=void 0===a.lineGap?.2:a.lineGap;return{lineHeight:i*r,lineGap:n*r,lineNoGap:Math.max(1,i-n)*r}}(this.font,!0).lineNoGa\ -p}s=getBorderDims(this.ui[ws]());r+=s.w;o+=s.h;if(this.caption){const{w:i,h:n,isBroken:s}=this.caption[ws](e);if(s&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}t=i;a=n;switch(this.caption.placement){case"left":case"right":case"inline":t+=r;break;case"top":case"bottom":a+=o}}else{t=r;a=o}if(t&&""===this.w){t+=i;this.w=Math.min(this.maxW<=0?1/0:this.maxW,this.minW+1e>=1&&e<=5});this.appearanceFilter=null;this.certificates=null;this.digestMethods=null;this.encodings=null;this.encryptionMethods\ -=null;this.handler=null;this.lockDocument=null;this.mdp=null;this.reasons=null;this.timeStamp=null}}class Float extends ContentObject{constructor(e){super(Go,"float");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class template_Font extends XFAObject{constructor(e){super(Go,"font",!0);this.baselineShift=getMeasurement(e.base\ -lineShift);this.fontHorizontalScale=getFloat({data:e.fontHorizontalScale,defaultValue:100,validate:e=>e>=0});this.fontVerticalScale=getFloat({data:e.fontVerticalScale,defaultValue:100,validate:e=>e>=0});this.id=e.id||"";this.kerningMode=getStringOption(e.kerningMode,["none","pair"]);this.letterSpacing=getMeasurement(e.letterSpacing,"0");this.lineThrough=getInteger({data:e.lineThrough,defaultValue:0,validate:e=>1===e||2===e});this.lineThroughPeriod=getStringOption(e.lineThroughPeriod,["all","word\ -"]);this.overline=getInteger({data:e.overline,defaultValue:0,validate:e=>1===e||2===e});this.overlinePeriod=getStringOption(e.overlinePeriod,["all","word"]);this.posture=getStringOption(e.posture,["normal","italic"]);this.size=getMeasurement(e.size,"10pt");this.typeface=e.typeface||"Courier";this.underline=getInteger({data:e.underline,defaultValue:0,validate:e=>1===e||2===e});this.underlinePeriod=getStringOption(e.underlinePeriod,["all","word"]);this.use=e.use||"";this.usehref=e.usehref||"";this\ -.weight=getStringOption(e.weight,["normal","bold"]);this.extras=null;this.fill=null}[ts](e){super[ts](e);this[Is].usedTypefaces.add(this.typeface)}[ho](){const e=toStyle(this,"fill"),t=e.color;if(t)if("#000000"===t)delete e.color;else if(!t.startsWith("#")){e.background=t;e.backgroundClip="text";e.color="transparent"}this.baselineShift&&(e.verticalAlign=measureToString(this.baselineShift));e.fontKerning="none"===this.kerningMode?"none":"normal";e.letterSpacing=measureToString(this.letterSpacing)\ -;if(0!==this.lineThrough){e.textDecoration="line-through";2===this.lineThrough&&(e.textDecorationStyle="double")}if(0!==this.overline){e.textDecoration="overline";2===this.overline&&(e.textDecorationStyle="double")}e.fontStyle=this.posture;e.fontSize=measureToString(.99*this.size);setFontFamily(this,this,this[Is].fontFinder,e);if(0!==this.underline){e.textDecoration="underline";2===this.underline&&(e.textDecorationStyle="double")}e.fontWeight=this.weight;return e}}class Format extends XFAObject{\ -constructor(e){super(Go,"format",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null}}class Handler extends StringObject{constructor(e){super(Go,"handler");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Hyphenation extends XFAObject{constructor(e){super(Go,"hyphenation");this.excludeAllCaps=getInteger({data:e.excludeAllCaps,defaultValue:0,validate:e=>1===e});this.exc\ -ludeInitialCap=getInteger({data:e.excludeInitialCap,defaultValue:0,validate:e=>1===e});this.hyphenate=getInteger({data:e.hyphenate,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.pushCharacterCount=getInteger({data:e.pushCharacterCount,defaultValue:3,validate:e=>e>=0});this.remainCharacterCount=getInteger({data:e.remainCharacterCount,defaultValue:3,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||"";this.wordCharacterCount=getInteger({data:e.wordCharacterCount,defaultValue:\ -7,validate:e=>e>=0})}}class Image extends StringObject{constructor(e){super(Go,"image");this.aspect=getStringOption(e.aspect,["fit","actual","height","none","width"]);this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.name=e.name||"";this.transferEncoding=getStringOption(e.transferEncoding,["base64","none","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[co](){if(this.contentType&&!Jo.has(this.contentType.toLowerCase()))return HTMLResult.EMPTY;let e=this[Is].\ -images?.get(this.href);if(!e&&(this.href||!this[ss]))return HTMLResult.EMPTY;e||"base64"!==this.transferEncoding||(e=function fromBase64Util(e){return Uint8Array.fromBase64?Uint8Array.fromBase64(e):stringToBytes(atob(e))}(this[ss]));if(!e)return HTMLResult.EMPTY;if(!this.contentType){for(const[t,a]of Yo)if(e.length>t.length&&t.every(((t,a)=>t===e[a]))){this.contentType=a;break}if(!this.contentType)return HTMLResult.EMPTY}const t=new Blob([e],{type:this.contentType});let a;switch(this.aspect){cas\ -e"fit":case"actual":break;case"height":a={height:"100%",objectFit:"fill"};break;case"none":a={width:"100%",height:"100%",objectFit:"fill"};break;case"width":a={width:"100%",objectFit:"fill"}}const r=this[vs]();return HTMLResult.success({name:"img",attributes:{class:["xfaImage"],style:a,src:URL.createObjectURL(t),alt:r?ariaLabel(r[vs]()):null}})}}class ImageEdit extends XFAObject{constructor(e){super(Go,"imageEdit",!0);this.data=getStringOption(e.data,["link","embed"]);this.id=e.id||"";this.use=e\ -.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){return"embed"===this.data?HTMLResult.success({name:"div",children:[],attributes:{}}):HTMLResult.EMPTY}}class Integer extends ContentObject{constructor(e){super(Go,"integer");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseInt(this[ss].trim(),10);this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class Issu\ -ers extends XFAObject{constructor(e){super(Go,"issuers",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Items extends XFAObject{constructor(e){super(Go,"items",!0);this.id=e.id||"";this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.ref=e.ref||"";this.save=getInteger({data:e.save,defaultValue:0,validate:e=>1===e});this\ -.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[co](){const e=[];for(const t of this[Ss]())e.push(t[so]());return HTMLResult.success(e)}}class Keep extends XFAObject{constructor(e){super(Go,"keep",!\ -0);this.id=e.id||"";const t=["none","contentArea","pageArea"];this.intact=getStringOption(e.intact,t);this.next=getStringOption(e.next,t);this.previous=getStringOption(e.previous,t);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class KeyUsage extends XFAObject{constructor(e){super(Go,"keyUsage");const t=["","yes","no"];this.crlSign=getStringOption(e.crlSign,t);this.dataEncipherment=getStringOption(e.dataEncipherment,t);this.decipherOnly=getStringOption(e.decipherOnly,t);this.di\ -gitalSignature=getStringOption(e.digitalSignature,t);this.encipherOnly=getStringOption(e.encipherOnly,t);this.id=e.id||"";this.keyAgreement=getStringOption(e.keyAgreement,t);this.keyCertSign=getStringOption(e.keyCertSign,t);this.keyEncipherment=getStringOption(e.keyEncipherment,t);this.nonRepudiation=getStringOption(e.nonRepudiation,t);this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Line extends XFAObject{constructor(e){super(Go,"lin\ -e",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.slope=getStringOption(e.slope,["\\\\","/"]);this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null}[co](){const e=this[vs]()[vs](),t=this.edge||new Edge({}),a=t[ho](),r=Object.create(null),i="visible"===t.presence?t.thickness:0;r.strokeWidth=measureToString(i);r.stroke=a.color;let n,s,o,c,l="100%",h="100%";if(e.w<=i){[n,s,o,c]=["50%",0,"50%","100%"];l=r.strokeWidth}else if(e.h<=i){[n,s,o,c]=[0,"50%","100%"\ -,"50%"];h=r.strokeWidth}else"\\\\"===this.slope?[n,s,o,c]=[0,0,"100%","100%"]:[n,s,o,c]=[0,"100%","100%",0];const u={name:"svg",children:[{name:"line",attributes:{xmlns:Vo,x1:n,y1:s,x2:o,y2:c,style:r}}],attributes:{xmlns:Vo,width:l,height:h,style:{overflow:"visible"}}};if(hasMargin(e))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[u]});u.attributes.style.position="absolute";return HTMLResult.success(u)}}class Linear extends XFAObjec\ -t{constructor(e){super(Go,"linear",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toRight","toBottom","toLeft","toTop"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";return`linear-gradient(${this.type.replace(/([RBLT])/," $1").toLowerCase()}, ${e}, ${this.color?this.color[ho]():"#000000"})`}}class LockDocument extends ContentObject{constructor(e){super(Go,"lockDocument");this.id=e.id||"";this.type=getStringOption(e.type,["o\ -ptional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=getStringOption(this[ss],["auto","0","1"])}}class Manifest extends XFAObject{constructor(e){super(Go,"manifest",!0);this.action=getStringOption(e.action,["include","all","exclude"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.ref=new XFAObjectArray}}class Margin extends XFAObject{constructor(e){super(Go,"margin",!0);this.bottomInset=getMeasurement(e.bo\ -ttomInset,"0");this.id=e.id||"";this.leftInset=getMeasurement(e.leftInset,"0");this.rightInset=getMeasurement(e.rightInset,"0");this.topInset=getMeasurement(e.topInset,"0");this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](){return{margin:measureToString(this.topInset)+" "+measureToString(this.rightInset)+" "+measureToString(this.bottomInset)+" "+measureToString(this.leftInset)}}}class Mdp extends XFAObject{constructor(e){super(Go,"mdp");this.id=e.id||"";this.permissions=getInt\ -eger({data:e.permissions,defaultValue:2,validate:e=>1===e||3===e});this.signatureType=getStringOption(e.signatureType,["filler","author"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Medium extends XFAObject{constructor(e){super(Go,"medium");this.id=e.id||"";this.imagingBBox=function getBBox(e){const t=-1;if(!e)return{x:t,y:t,width:t,height:t};const a=e.split(",",4).map((e=>getMeasurement(e.trim(),"-1")));if(a.length<4||a[2]<0||a[3]<0)return{x:t,y:t,width:t,height:t};const[r,i,n,s]=a;re\ -turn{x:r,y:i,width:n,height:s}}(e.imagingBBox);this.long=getMeasurement(e.long);this.orientation=getStringOption(e.orientation,["portrait","landscape"]);this.short=getMeasurement(e.short);this.stock=e.stock||"";this.trayIn=getStringOption(e.trayIn,["auto","delegate","pageFront"]);this.trayOut=getStringOption(e.trayOut,["auto","delegate"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Message extends XFAObject{constructor(e){super(Go,"message",!0);this.id=e.id||"";this.use=e.use||"";this.u\ -sehref=e.usehref||"";this.text=new XFAObjectArray}}class NumericEdit extends XFAObject{constructor(e){super(Go,"numericEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextf\ -ield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Occur extends XFAObject{constructor(e){super(Go,"occur",!0);this.id=e.id||"";this.initial=""!==e.initial?getInteger({data:e.initial,defaultValue:"",validate:e=>!0}):"";this.max=""!==e.max?getInteger({data:e.max,defaultValue:1,validate:e=>!0}):"";this.min=""!==e.min?ge\ -tInteger({data:e.min,defaultValue:1,validate:e=>!0}):"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ts](){const e=this[vs](),t=this.min;""===this.min&&(this.min=e instanceof PageArea||e instanceof PageSet?0:1);""===this.max&&(this.max=""===t?e instanceof PageArea||e instanceof PageSet?-1:1:this.min);-1!==this.max&&this.max!0});this.name=e.name||"";this.numbered=getInteger({data:e.numbered,defaultValue:1,validate:e=>!0});this.oddOrEven=getStringOption(e.oddOrEven,["any","even","odd"]);this.pagePosition=getStringOption(e.pagePosition,["any","first","last","only","rest"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.desc=null;this.extras=null;this.medium=null;this.occur=null;this.area=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.draw=new XFAObjectArray;th\ -is.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray}[Xs](){if(!this[ls]){this[ls]={numberOfUse:0};return!0}return!this.occur||-1===this.occur.max||this[ls].numberOfUsee.oddOrEven===t&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&"any"===e.pagePosition));return r||this.pageArea.children[0]}}class Para extends XFAObject{constructor(e){super(Go,"para",!0);this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.li\ -neHeight=e.lineHeight?getMeasurement(e.lineHeight,"0pt"):"";this.marginLeft=e.marginLeft?getMeasurement(e.marginLeft,"0pt"):"";this.marginRight=e.marginRight?getMeasurement(e.marginRight,"0pt"):"";this.orphans=getInteger({data:e.orphans,defaultValue:0,validate:e=>e>=0});this.preserve=e.preserve||"";this.radixOffset=e.radixOffset?getMeasurement(e.radixOffset,"0pt"):"";this.spaceAbove=e.spaceAbove?getMeasurement(e.spaceAbove,"0pt"):"";this.spaceBelow=e.spaceBelow?getMeasurement(e.spaceBelow,"0pt")\ -:"";this.tabDefault=e.tabDefault?getMeasurement(this.tabDefault):"";this.tabStops=(e.tabStops||"").trim().split(/\\s+/).map(((e,t)=>t%2==1?getMeasurement(e):e));this.textIndent=e.textIndent?getMeasurement(e.textIndent,"0pt"):"";this.use=e.use||"";this.usehref=e.usehref||"";this.vAlign=getStringOption(e.vAlign,["top","bottom","middle"]);this.widows=getInteger({data:e.widows,defaultValue:0,validate:e=>e>=0});this.hyphenation=null}[ho](){const e=toStyle(this,"hAlign");""!==this.marginLeft&&(e.paddin\ -gLeft=measureToString(this.marginLeft));""!==this.marginRight&&(e.paddingRight=measureToString(this.marginRight));""!==this.spaceAbove&&(e.paddingTop=measureToString(this.spaceAbove));""!==this.spaceBelow&&(e.paddingBottom=measureToString(this.spaceBelow));if(""!==this.textIndent){e.textIndent=measureToString(this.textIndent);fixTextIndent(e)}this.lineHeight>0&&(e.lineHeight=measureToString(this.lineHeight));""!==this.tabDefault&&(e.tabSize=measureToString(this.tabDefault));this.tabStops.length;\ -this.hyphenatation&&Object.assign(e,this.hyphenatation[ho]());return e}}class PasswordEdit extends XFAObject{constructor(e){super(Go,"passwordEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.passwordChar=e.passwordChar||"*";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}}class template_Pattern extends XFAObject{constructor(e){super(Go,"pattern",!0);this.id=e.id||"";this.type=getStringOption(e\ -.type,["crossHatch","crossDiagonal","diagonalLeft","diagonalRight","horizontal","vertical"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000",a="repeating-linear-gradient",r=`${e},${e} 5px,${t} 5px,${t} 10px`;switch(this.type){case"crossHatch":return`${a}(to top,${r}) ${a}(to right,${r})`;case"crossDiagonal":return`${a}(45deg,${r}) ${a}(-45deg,${r})`;case"diagonalLeft":return`${a}(45deg,${r}\ -)`;case"diagonalRight":return`${a}(-45deg,${r})`;case"horizontal":return`${a}(to top,${r})`;case"vertical":return`${a}(to right,${r})`}return""}}class Picture extends StringObject{constructor(e){super(Go,"picture");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Proto extends XFAObject{constructor(e){super(Go,"proto",!0);this.appearanceFilter=new XFAObjectArray;this.arc=new XFAObjectArray;this.area=new XFAObjectArray;this.assist=new XFAObjectArray;this.barcode=new XFAObject\ -Array;this.bindItems=new XFAObjectArray;this.bookend=new XFAObjectArray;this.boolean=new XFAObjectArray;this.border=new XFAObjectArray;this.break=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.button=new XFAObjectArray;this.calculate=new XFAObjectArray;this.caption=new XFAObjectArray;this.certificate=new XFAObjectArray;this.certificates=new XFAObjectArray;this.checkButton=new XFAObjectArray;this.choiceList=new XFAObjectArray;this.color=new XFAObjec\ -tArray;this.comb=new XFAObjectArray;this.connect=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.corner=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.dateTimeEdit=new XFAObjectArray;this.decimal=new XFAObjectArray;this.defaultUi=new XFAObjectArray;this.desc=new XFAObjectArray;this.digestMethod=new XFAObjectArray;this.digestMethods=new XFAObjectArray;this.draw=new XFAObjectArray;this.edge=new XFAObjectArray;this.encoding=new XFAObjectArray;this.\ -encodings=new XFAObjectArray;this.encrypt=new XFAObjectArray;this.encryptData=new XFAObjectArray;this.encryption=new XFAObjectArray;this.encryptionMethod=new XFAObjectArray;this.encryptionMethods=new XFAObjectArray;this.event=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.execute=new XFAObjectArray;this.extras=new XFAObjectArray;this.field=new XFAObjectArray;this.fill=new XFAObjectArray;this.filter=new XFAObjectArray;this\ -.float=new XFAObjectArray;this.font=new XFAObjectArray;this.format=new XFAObjectArray;this.handler=new XFAObjectArray;this.hyphenation=new XFAObjectArray;this.image=new XFAObjectArray;this.imageEdit=new XFAObjectArray;this.integer=new XFAObjectArray;this.issuers=new XFAObjectArray;this.items=new XFAObjectArray;this.keep=new XFAObjectArray;this.keyUsage=new XFAObjectArray;this.line=new XFAObjectArray;this.linear=new XFAObjectArray;this.lockDocument=new XFAObjectArray;this.manifest=new XFAObjectAr\ -ray;this.margin=new XFAObjectArray;this.mdp=new XFAObjectArray;this.medium=new XFAObjectArray;this.message=new XFAObjectArray;this.numericEdit=new XFAObjectArray;this.occur=new XFAObjectArray;this.oid=new XFAObjectArray;this.oids=new XFAObjectArray;this.overflow=new XFAObjectArray;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray;this.para=new XFAObjectArray;this.passwordEdit=new XFAObjectArray;this.pattern=new XFAObjectArray;this.picture=new XFAObjectArray;this.radial=new XFAObje\ -ctArray;this.reason=new XFAObjectArray;this.reasons=new XFAObjectArray;this.rectangle=new XFAObjectArray;this.ref=new XFAObjectArray;this.script=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.signData=new XFAObjectArray;this.signature=new XFAObjectArray;this.signing=new XFAObjectArray;this.solid=new XFAObjectArray;this.speak=new XFAObjectArray;this.stipple=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray;this.subjectDN=new XFAObjectArray;this.sub\ -jectDNs=new XFAObjectArray;this.submit=new XFAObjectArray;this.text=new XFAObjectArray;this.textEdit=new XFAObjectArray;this.time=new XFAObjectArray;this.timeStamp=new XFAObjectArray;this.toolTip=new XFAObjectArray;this.traversal=new XFAObjectArray;this.traverse=new XFAObjectArray;this.ui=new XFAObjectArray;this.validate=new XFAObjectArray;this.value=new XFAObjectArray;this.variables=new XFAObjectArray}}class Radial extends XFAObject{constructor(e){super(Go,"radial",!0);this.id=e.id||"";this.typ\ -e=getStringOption(e.type,["toEdge","toCenter"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000";return`radial-gradient(circle at center, ${"toEdge"===this.type?`${e},${t}`:`${t},${e}`})`}}class Reason extends StringObject{constructor(e){super(Go,"reason");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Reasons extends XFAObject{constructor(e){super\ -(Go,"reasons",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.reason=new XFAObjectArray}}class Rectangle extends XFAObject{constructor(e){super(Go,"rectangle",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.fill=null}[co](){const e=this.edge.children.length?this.edge.ch\ -ildren[0]:new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;const r=(this.corner.children.length?this.corner.children[0]:new Corner({}))[ho](),i={name:"svg",children:[{name:"rect",attributes:{xmlns:Vo,width:"100%",height:"100%",x:0,y:0,rx:r.radius,ry:r.radius,style:a}}],attributes:{xmlns:Vo,style:{overflow:"visible"},width:"100%",he\ -ight:"100%"}};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[i]});i.attributes.style.position="absolute";return HTMLResult.success(i)}}class RefElement extends StringObject{constructor(e){super(Go,"ref");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Script extends StringObject{constructor(e){super(Go,"script");this.binding=e.binding||"";this.contentType=e.contentType||"";this.\ -id=e.id||"";this.name=e.name||"";this.runAt=getStringOption(e.runAt,["client","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class SetProperty extends XFAObject{constructor(e){super(Go,"setProperty");this.connection=e.connection||"";this.ref=e.ref||"";this.target=e.target||""}}class SignData extends XFAObject{constructor(e){super(Go,"signData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["sign","clear","verify"]);this.ref=e.ref||"";this.target=e.target||"";t\ -his.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Signature extends XFAObject{constructor(e){super(Go,"signature",!0);this.id=e.id||"";this.type=getStringOption(e.type,["PDF1.3","PDF1.6"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.filter=null;this.manifest=null;this.margin=null}}class Signing extends XFAObject{constructor(e){super(Go,"signing",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","requir\ -ed"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Solid extends XFAObject{constructor(e){super(Go,"solid",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](e){return e?e[ho]():"#FFFFFF"}}class Speak extends StringObject{constructor(e){super(Go,"speak");this.disable=getInteger({data:e.disable,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.priority=getStringOption(e.priority,["custom","caption","name","to\ -olTip"]);this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Stipple extends XFAObject{constructor(e){super(Go,"stipple",!0);this.id=e.id||"";this.rate=getInteger({data:e.rate,defaultValue:50,validate:e=>e>=0&&e<=100});this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){const t=this.rate/100;return Util.makeHexColor(Math.round(e.value.r*(1-t)+this.value.r*t),Math.round(e.value.g*(1-t)+this.value.g*t),Math.round(e.value.b*(1-t)+this.value.b*t\ -))}}class Subform extends XFAObject{constructor(e){super(Go,"subform",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.allowMacro=getInteger({data:e.allowMacro,defaultValue:0,validate:e=>1===e});this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.column\ -Widths=(e.columnWidths||"").trim().split(/\\s+/).map((e=>"-1"===e?-1:getMeasurement(e)));this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.mergeMode=getStringOption(e.mergeMode,["consumeData","matchTemp\ -late"]);this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.restoreState=getStringOption(e.restoreState,["manual","auto"]);this.scope=getStringOption(e.scope,["name","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");thi\ -s.assist=null;this.bind=null;this.bookend=null;this.border=null;this.break=null;this.calculate=null;this.desc=null;this.extras=null;this.keep=null;this.margin=null;this.occur=null;this.overflow=null;this.pageSet=null;this.para=null;this.traversal=null;this.validate=null;this.variables=null;this.area=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.connect=new XFAObjectArray;this.draw=new XFAObjectArray;this.event=new XFAObjectArray;this.exObject=new \ -XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.proto=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}[Cs](){const e=this[vs]();return e instanceof SubformSet?e[Cs]():e}[Rs](){return!0}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]()[_s]()}*[As](){yield*getContainedChildren(this)}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)\ -}[gs](){return getAvailableSpace(this)}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(this.keep&&"none"!==this.keep.intact){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[co](e){setTabIndex(this);if(this.break){if("auto"!==this.break.after||""!==this.br\ -eak.afterTarget){const e=new BreakAfter({targetType:this.break.after,target:this.break.afterTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakAfter.push(e)}if("auto"!==this.break.before||""!==this.break.beforeTarget){const e=new BreakBefore({targetType:this.break.before,target:this.break.beforeTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakBefore.push(e)}if(""!==this.break.overflowTarget){const e=new Overflow({target:this\ -.break.overflowTarget,leader:this.break.overflowLeader,trailer:this.break.overflowTrailer});e[Is]=this[Is];this[Qn](e);this.overflow.push(e)}this[Zs](this.break);this.break=null}if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;(this.breakBefore.children.length>1||this.breakAfter.children.length>1)&&warn("XFA - Several breakBefore or breakAfter in subforms: please file a bug.");if(this.breakBefore.children.length>=1){const e=this.breakBefore.children[0];if(handleBre\ -ak(e))return HTMLResult.breakNode(e)}if(this[ls]?.afterBreakAfter)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,line:null,attributes:a,attempt:0,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[Fs](),i=r[ls].noLayoutFailure,n=this[js]();n||setFirstUnsplittabl\ -e(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const s=new Set(["area","draw","exclGroup","field","subform","subformSet"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const o=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),c=["xfaSubform"],l=layoutClass(this);l&&c.push(l);a.style=o;a.class=c;this.name&&(a.xfaName=this.name);if(this.overflo\ -w){const t=this.overflow[ws]();if(t.addLeader){t.addLeader=!1;handleOverflow(this,t.leader,e)}}this[Ys]();const h="lr-tb"===this.layout||"rl-tb"===this.layout,u=h?2:1;for(;this[ls].attempt=1){const e=this.breakAfter.children[0];if(handleBreak(e)){this[ls].afterBreakAfter=y;return HTMLResult.breakNode(e)}}delete this[ls];return y}}class SubformSet extends XFAObject{constru\ -ctor(e){super(Go,"subformSet",!0);this.id=e.id||"";this.name=e.name||"";this.relation=getStringOption(e.relation,["ordered","choice","unordered"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.bookend=null;this.break=null;this.desc=null;this.extras=null;this.occur=null;this.overflow=null;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChil\ -dren(this)}[Cs](){let e=this[vs]();for(;!(e instanceof Subform);)e=e[vs]();return e}[Rs](){return!0}}class SubjectDN extends ContentObject{constructor(e){super(Go,"subjectDN");this.delimiter=e.delimiter||",";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=new Map(this[ss].split(this.delimiter).map((e=>{(e=e.split("=",2))[0]=e[0].trim();return e})))}}class SubjectDNs extends XFAObject{constructor(e){super(Go,"subjectDNs",!0);this.id=e.id||"";thi\ -s.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.subjectDN=new XFAObjectArray}}class Submit extends XFAObject{constructor(e){super(Go,"submit",!0);this.embedPDF=getInteger({data:e.embedPDF,defaultValue:0,validate:e=>1===e});this.format=getStringOption(e.format,["xdp","formdata","pdf","urlencoded","xfd","xml"]);this.id=e.id||"";this.target=e.target||"";this.textEncoding=getKeyword({data:e.textEncoding?e.textEncoding.toLowerCase():"",default\ -Value:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.use=e.use||"";this.usehref=e.usehref||"";this.xdpContent=e.xdpContent||"";this.encrypt=null;this.encryptData=new XFAObjectArray;this.signData=new XFAObjectArray}}class Template extends XFAObject{constructor(e){super(Go,"template",!0);this.baseProfile=getStringOption(e.baseProfile,["full","interactiveForms"]);this.extras=n\ -ull;this.subform=new XFAObjectArray}[hs](){0===this.subform.children.length&&warn("XFA - No subforms in template node.");this.subform.children.length>=2&&warn("XFA - Several subforms in template node: please file a bug.");this[no]=5e3}[js](){return!0}[to](e,t){return e.startsWith("#")?[this[Os].get(e.slice(1))]:searchNode(this,t,e,!0,!0)}*[oo](){if(!this.subform.children.length)return HTMLResult.success({name:"div",children:[]});this[ls]={overflowNode:null,firstUnsplittable:null,currentContentAr\ -ea:null,currentPageArea:null,noLayoutFailure:!1,pageNumber:1,pagePosition:"first",oddOrEven:"odd",blankOrNotBlank:"nonBlank",paraStack:[]};const e=this.subform.children[0];e.pageSet[as]();const t=e.pageSet.pageArea.children,a={name:"div",children:[]};let r=null,i=null,n=null;if(e.breakBefore.children.length>=1){i=e.breakBefore.children[0];n=i.target}else if(e.subform.children.length>=1&&e.subform.children[0].breakBefore.children.length>=1){i=e.subform.children[0].breakBefore.children[0];n=i.targ\ -et}else if(e.break?.beforeTarget){i=e.break;n=i.beforeTarget}else if(e.subform.children.length>=1&&e.subform.children[0].break?.beforeTarget){i=e.subform.children[0].break;n=i.beforeTarget}if(i){const e=this[to](n,i[vs]());if(e instanceof PageArea){r=e;i[ls]={}}}r||=t[0];r[ls]={numberOfUse:1};const s=r[vs]();s[ls]={numberOfUse:1,pageIndex:s.pageArea.children.indexOf(r),pageSetIndex:0};let o,c=null,l=null,h=!0,u=0,d=0;for(;;){if(h)u=0;else{a.children.pop();if(3==++u){warn("XFA - Something goes wr\ -ong: please file a bug.");return a}}o=null;this[ls].currentPageArea=r;const t=r[co]().html;a.children.push(t);if(c){this[ls].noLayoutFailure=!0;t.children.push(c[co](r[ls].space).html);c=null}if(l){this[ls].noLayoutFailure=!0;t.children.push(l[co](r[ls].space).html);l=null}const i=r.contentArea.children,n=t.children.filter((e=>e.attributes.class.includes("xfaContentarea")));h=!1;this[ls].firstUnsplittable=null;this[ls].noLayoutFailure=!1;const flush=t=>{const a=e[us]();if(a){h||=a.children?.leng\ -th>0;n[t].children.push(a)}};for(let t=d,r=i.length;t0;n[t].children.push(u.html)}else!h&&a.children.length>1&&a.children.pop();return a}if(u.isBreak()){const e=u.breakNode;flush(t);if("auto"===e.targetType)continue;if(e.leader){c=this[to](e.leader,e[vs]());\ -c=c?c[0]:null}if(e.trailer){l=this[to](e.trailer,e[vs]());l=l?l[0]:null}if("pageArea"===e.targetType){o=e[ls].target;t=1/0}else if(e[ls].target){o=e[ls].target;d=e[ls].index+1;t=1/0}else t=e[ls].index}else if(this[ls].overflowNode){const e=this[ls].overflowNode;this[ls].overflowNode=null;const a=e[ws](),r=a.target;a.addLeader=null!==a.leader;a.addTrailer=null!==a.trailer;flush(t);const n=t;t=1/0;if(r instanceof PageArea)o=r;else if(r instanceof ContentArea){const e=i.indexOf(r);if(-1!==e)e>n?t=e\ --1:d=e;else{o=r[vs]();d=o.contentArea.children.indexOf(r)}}}else flush(t)}this[ls].pageNumber+=1;o&&(o[Xs]()?o[ls].numberOfUse+=1:o=null);r=o||r[ks]();yield null}}}class Text extends ContentObject{constructor(e){super(Go,"text");this.id=e.id||"";this.maxChars=getInteger({data:e.maxChars,defaultValue:0,validate:e=>e>=0});this.name=e.name||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}[Yn](){return!0}[$s](e){if(e[Hs]===go.xhtml.id){this[ss]=e;return!0}warn(`XFA - Invalid cont\ -ent in Text: ${e[Ws]}.`);return!1}[Vs](e){this[ss]instanceof XFAObject||super[Vs](e)}[hs](){"string"==typeof this[ss]&&(this[ss]=this[ss].replaceAll("\\r\\n","\\n"))}[ws](){return"string"==typeof this[ss]?this[ss].split(/[\\u2029\\u2028\\n]/).filter((e=>!!e)).join("\\n"):this[ss][so]()}[co](e){if("string"==typeof this[ss]){const e=valueToHtml(this[ss]).html;if(this[ss].includes("\\u2029")){e.name="div";e.children=[];this[ss].split("\\u2029").map((e=>e.split(/[\\u2028\\n]/).flatMap((e=>[{name:"span",value:e\ -},{name:"br"}])))).forEach((t=>{e.children.push({name:"p",children:t})}))}else if(/[\\u2028\\n]/.test(this[ss])){e.name="div";e.children=[];this[ss].split(/[\\u2028\\n]/).forEach((t=>{e.children.push({name:"span",value:t},{name:"br"})}))}return HTMLResult.success(e)}return this[ss][co](e)}}class TextEdit extends XFAObject{constructor(e){super(Go,"textEdit",!0);this.allowRichText=getInteger({data:e.allowRichText,defaultValue:0,validate:e=>1===e});this.hScrollPolicy=getStringOption(e.hScrollPolicy,["a\ -uto","off","on"]);this.id=e.id||"";this.multiLine=getInteger({data:e.multiLine,defaultValue:"",validate:e=>0===e||1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.vScrollPolicy=getStringOption(e.vScrollPolicy,["auto","off","on"]);this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin");let a;const r=this[vs]()[vs]();""===this.multiLine&&(this.multiLine=r instanceof Draw?1:0);a=1===this.multiLine?{name:"textarea",attributes\ -:{dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}}:{name:"input",attributes:{type:"text",dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}};if(isRequired(r)){a.attributes["aria-required"]=!0;a.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[a]})}}class Time extends StringObject{constructor(e){super(Go,"tim\ -e");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class TimeStamp extends XFAObject{constructor(e){super(Go,"timeStamp");this.id=e.id||"";this.server=e.server||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class ToolTip extends StringObject{constructor(e){super(Go,"toolTip");this\ -.id=e.id||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Traversal extends XFAObject{constructor(e){super(Go,"traversal",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.traverse=new XFAObjectArray}}class Traverse extends XFAObject{constructor(e){super(Go,"traverse",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["next","back","down","first","left","right","up"]);this.ref=e.ref||"";this.use=e.use||"";this.usehre\ -f=e.usehref||"";this.extras=null;this.script=null}get name(){return this.operation}[Us](){return!1}}class Ui extends XFAObject{constructor(e){super(Go,"ui",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null;this.barcode=null;this.button=null;this.checkButton=null;this.choiceList=null;this.dateTimeEdit=null;this.defaultUi=null;this.imageEdit=null;this.numericEdit=null;this.passwordEdit=null;this.signature=null;this.textEdit=null}[ws](){if(void 0=\ -==this[ls]){for(const e of Object.getOwnPropertyNames(this)){if("extras"===e||"picture"===e)continue;const t=this[e];if(t instanceof XFAObject){this[ls]=t;return t}}this[ls]=null}return this[ls]}[co](e){const t=this[ws]();return t?t[co](e):HTMLResult.EMPTY}}class Validate extends XFAObject{constructor(e){super(Go,"validate",!0);this.formatTest=getStringOption(e.formatTest,["warning","disabled","error"]);this.id=e.id||"";this.nullTest=getStringOption(e.nullTest,["disabled","error","warning"]);thi\ -s.scriptTest=getStringOption(e.scriptTest,["error","disabled","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.picture=null;this.script=null}}class Value extends XFAObject{constructor(e){super(Go,"value",!0);this.id=e.id||"";this.override=getInteger({data:e.override,defaultValue:0,validate:e=>1===e});this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.arc=null;this.boolean=null;this.date=null;this.dateTime=null\ -;this.decimal=null;this.exData=null;this.float=null;this.image=null;this.integer=null;this.line=null;this.rectangle=null;this.text=null;this.time=null}[io](e){const t=this[vs]();if(t instanceof Field&&t.ui?.imageEdit){if(!this.image){this.image=new Image({});this[Qn](this.image)}this.image[ss]=e[ss];return}const a=e[Ws];if(null===this[a]){for(const e of Object.getOwnPropertyNames(this)){const t=this[e];if(t instanceof XFAObject){this[e]=null;this[Zs](t)}}this[e[Ws]]=e;this[Qn](e)}else this[a][ss\ -]=e[ss]}[so](){if(this.exData)return"string"==typeof this.exData[ss]?this.exData[ss].trim():this.exData[ss][so]().trim();for(const e of Object.getOwnPropertyNames(this)){if("image"===e)continue;const t=this[e];if(t instanceof XFAObject)return(t[ss]||"").toString().trim()}return null}[co](e){for(const t of Object.getOwnPropertyNames(this)){const a=this[t];if(a instanceof XFAObject)return a[co](e)}return HTMLResult.EMPTY}}class Variables extends XFAObject{constructor(e){super(Go,"variables",!0);th\ -is.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.manifest=new XFAObjectArray;this.script=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[Us](){return!0}}class TemplateNamespace{static[fo](e,t){if(Template\ -Namespace.hasOwnProperty(e)){const a=TemplateNamespace[e](t);a[ro](t);return a}}static appearanceFilter(e){return new AppearanceFilter(e)}static arc(e){return new Arc(e)}static area(e){return new Area(e)}static assist(e){return new Assist(e)}static barcode(e){return new Barcode(e)}static bind(e){return new Bind(e)}static bindItems(e){return new BindItems(e)}static bookend(e){return new Bookend(e)}static boolean(e){return new BooleanElement(e)}static border(e){return new Border(e)}static break(e)\ -{return new Break(e)}static breakAfter(e){return new BreakAfter(e)}static breakBefore(e){return new BreakBefore(e)}static button(e){return new Button(e)}static calculate(e){return new Calculate(e)}static caption(e){return new Caption(e)}static certificate(e){return new Certificate(e)}static certificates(e){return new Certificates(e)}static checkButton(e){return new CheckButton(e)}static choiceList(e){return new ChoiceList(e)}static color(e){return new Color(e)}static comb(e){return new Comb(e)}s\ -tatic connect(e){return new Connect(e)}static contentArea(e){return new ContentArea(e)}static corner(e){return new Corner(e)}static date(e){return new DateElement(e)}static dateTime(e){return new DateTime(e)}static dateTimeEdit(e){return new DateTimeEdit(e)}static decimal(e){return new Decimal(e)}static defaultUi(e){return new DefaultUi(e)}static desc(e){return new Desc(e)}static digestMethod(e){return new DigestMethod(e)}static digestMethods(e){return new DigestMethods(e)}static draw(e){return \ -new Draw(e)}static edge(e){return new Edge(e)}static encoding(e){return new Encoding(e)}static encodings(e){return new Encodings(e)}static encrypt(e){return new Encrypt(e)}static encryptData(e){return new EncryptData(e)}static encryption(e){return new Encryption(e)}static encryptionMethod(e){return new EncryptionMethod(e)}static encryptionMethods(e){return new EncryptionMethods(e)}static event(e){return new Event(e)}static exData(e){return new ExData(e)}static exObject(e){return new ExObject(e)}\ -static exclGroup(e){return new ExclGroup(e)}static execute(e){return new Execute(e)}static extras(e){return new Extras(e)}static field(e){return new Field(e)}static fill(e){return new Fill(e)}static filter(e){return new Filter(e)}static float(e){return new Float(e)}static font(e){return new template_Font(e)}static format(e){return new Format(e)}static handler(e){return new Handler(e)}static hyphenation(e){return new Hyphenation(e)}static image(e){return new Image(e)}static imageEdit(e){return ne\ -w ImageEdit(e)}static integer(e){return new Integer(e)}static issuers(e){return new Issuers(e)}static items(e){return new Items(e)}static keep(e){return new Keep(e)}static keyUsage(e){return new KeyUsage(e)}static line(e){return new Line(e)}static linear(e){return new Linear(e)}static lockDocument(e){return new LockDocument(e)}static manifest(e){return new Manifest(e)}static margin(e){return new Margin(e)}static mdp(e){return new Mdp(e)}static medium(e){return new Medium(e)}static message(e){ret\ -urn new Message(e)}static numericEdit(e){return new NumericEdit(e)}static occur(e){return new Occur(e)}static oid(e){return new Oid(e)}static oids(e){return new Oids(e)}static overflow(e){return new Overflow(e)}static pageArea(e){return new PageArea(e)}static pageSet(e){return new PageSet(e)}static para(e){return new Para(e)}static passwordEdit(e){return new PasswordEdit(e)}static pattern(e){return new template_Pattern(e)}static picture(e){return new Picture(e)}static proto(e){return new Proto(e\ -)}static radial(e){return new Radial(e)}static reason(e){return new Reason(e)}static reasons(e){return new Reasons(e)}static rectangle(e){return new Rectangle(e)}static ref(e){return new RefElement(e)}static script(e){return new Script(e)}static setProperty(e){return new SetProperty(e)}static signData(e){return new SignData(e)}static signature(e){return new Signature(e)}static signing(e){return new Signing(e)}static solid(e){return new Solid(e)}static speak(e){return new Speak(e)}static stipple(\ -e){return new Stipple(e)}static subform(e){return new Subform(e)}static subformSet(e){return new SubformSet(e)}static subjectDN(e){return new SubjectDN(e)}static subjectDNs(e){return new SubjectDNs(e)}static submit(e){return new Submit(e)}static template(e){return new Template(e)}static text(e){return new Text(e)}static textEdit(e){return new TextEdit(e)}static time(e){return new Time(e)}static timeStamp(e){return new TimeStamp(e)}static toolTip(e){return new ToolTip(e)}static traversal(e){retur\ -n new Traversal(e)}static traverse(e){return new Traverse(e)}static ui(e){return new Ui(e)}static validate(e){return new Validate(e)}static value(e){return new Value(e)}static variables(e){return new Variables(e)}}const Zo=go.datasets.id;function createText(e){const t=new Text({});t[ss]=e;return t}class Binder{constructor(e){this.root=e;this.datasets=e.datasets;this.data=e.datasets?.data||new XmlObject(go.datasets.id,"data");this.emptyMerge=0===this.data[Ss]().length;this.root.form=this.form=e.t\ -emplate[is]()}_isConsumeData(){return!this.emptyMerge&&this._mergeMode}_isMatchTemplate(){return!this._isConsumeData()}bind(){this._bindElement(this.form,this.data);return this.form}getData(){return this.data}_bindValue(e,t,a){e[os]=t;if(e[Ts]())if(t[Ns]()){const a=t[ys]();e[io](createText(a))}else if(e instanceof Field&&"multiSelect"===e.ui?.choiceList?.open){const a=t[Ss]().map((e=>e[ss].trim())).join("\\n");e[io](createText(a))}else this._isConsumeData()&&warn("XFA - Nodes haven\'t the same typ\ -e.");else!t[Ns]()||this._isMatchTemplate()?this._bindElement(e,t):warn("XFA - Nodes haven\'t the same type.")}_findDataByNameToConsume(e,t,a,r){if(!e)return null;let i,n;for(let r=0;r<3;r++){i=a[xs](e,!1,!0);for(;;){n=i.next().value;if(!n)break;if(t===n[Ns]())return n}if(a[Hs]===go.datasets.id&&"data"===a[Ws])break;a=a[vs]()}if(!r)return null;i=this.data[xs](e,!0,!1);n=i.next().value;if(n)return n;i=this.data[ds](e,!0);n=i.next().value;return n?.[Ns]()?n:null}_setProperties(e,t){if(e.hasOwnProper\ -ty("setProperty"))for(const{ref:a,target:r,connection:i}of e.setProperty.children){if(i)continue;if(!a)continue;const n=searchNode(this.root,t,a,!1,!1);if(!n){warn(`XFA - Invalid reference: ${a}.`);continue}const[s]=n;if(!s[Es](this.data)){warn("XFA - Invalid node: must be a data node.");continue}const o=searchNode(this.root,e,r,!1,!1);if(!o){warn(`XFA - Invalid target: ${r}.`);continue}const[c]=o;if(!c[Es](e)){warn("XFA - Invalid target: must be a property or subproperty.");continue}const l=c[v\ -s]();if(c instanceof SetProperty||l instanceof SetProperty){warn("XFA - Invalid target: cannot be a setProperty or one of its properties.");continue}if(c instanceof BindItems||l instanceof BindItems){warn("XFA - Invalid target: cannot be a bindItems or one of its properties.");continue}const h=s[so](),u=c[Ws];if(c instanceof XFAAttribute){const e=Object.create(null);e[u]=h;const t=Reflect.construct(Object.getPrototypeOf(l).constructor,[e]);l[u]=t[u]}else if(c.hasOwnProperty(ss)){c[os]=s;c[ss]=h;\ -c[hs]()}else warn("XFA - Invalid node to use in setProperty")}}_bindItems(e,t){if(!e.hasOwnProperty("items")||!e.hasOwnProperty("bindItems")||e.bindItems.isEmpty())return;for(const t of e.items.children)e[Zs](t);e.items.clear();const a=new Items({}),r=new Items({});e[Qn](a);e.items.push(a);e[Qn](r);e.items.push(r);for(const{ref:i,labelRef:n,valueRef:s,connection:o}of e.bindItems.children){if(o)continue;if(!i)continue;const e=searchNode(this.root,t,i,!1,!1);if(e)for(const t of e){if(!t[Es](this.d\ -atasets)){warn(`XFA - Invalid ref (${i}): must be a datasets child.`);continue}const e=searchNode(this.root,t,n,!0,!1);if(!e){warn(`XFA - Invalid label: ${n}.`);continue}const[o]=e;if(!o[Es](this.datasets)){warn("XFA - Invalid label: must be a datasets child.");continue}const c=searchNode(this.root,t,s,!0,!1);if(!c){warn(`XFA - Invalid value: ${s}.`);continue}const[l]=c;if(!l[Es](this.datasets)){warn("XFA - Invalid value: must be a datasets child.");continue}const h=createText(o[so]()),u=createT\ -ext(l[so]());a[Qn](h);a.text.push(h);r[Qn](u);r.text.push(u)}else warn(`XFA - Invalid reference: ${i}.`)}}_bindOccurrences(e,t,a){let r;if(t.length>1){r=e[is]();r[Zs](r.occur);r.occur=null}this._bindValue(e,t[0],a);this._setProperties(e,t[0]);this._bindItems(e,t[0]);if(1===t.length)return;const i=e[vs](),n=e[Ws],s=i[Ms](e);for(let e=1,o=t.length;et.name===e.name)).length:a[r].children.length;const n=a[Ms](e)+1,s=t.initial-i;if(s){const t=e[is]();t[Zs](t.occur);t.occur=null;a[r].push(t);a[Ds](n,t);for(let e=1;e0)this._bindOccurrences(r,[e[0]],null);else if(this.emptyMerge){const e=t[Hs]===Zo?-1:t[Hs],a=r[os]=new XmlObject(e,r.name||"root");t[Qn](a);this._bindElement(r,a)}continue}if(!r[Rs]())continue;\ -let e=!1,i=null,n=null,s=null;if(r.bind){switch(r.bind.match){case"none":this._setAndBind(r,t);continue;case"global":e=!0;break;case"dataRef":if(!r.bind.ref){warn(`XFA - ref is empty in node ${r[Ws]}.`);this._setAndBind(r,t);continue}n=r.bind.ref}r.bind.picture&&(i=r.bind.picture[ss])}const[o,c]=this._getOccurInfo(r);if(n){s=searchNode(this.root,t,n,!0,!1);if(null===s){s=createDataNode(this.data,t,n);if(!s)continue;this._isConsumeData()&&(s[ns]=!0);this._setAndBind(r,s);continue}this._isConsumeD\ -ata()&&(s=s.filter((e=>!e[ns])));s.length>c?s=s.slice(0,c):0===s.length&&(s=null);s&&this._isConsumeData()&&s.forEach((e=>{e[ns]=!0}))}else{if(!r.name){this._setAndBind(r,t);continue}if(this._isConsumeData()){const a=[];for(;a.length0?a:null}else{s=t[xs](r.name,!1,this.emptyMerge).next().value;if(!s){if(0===o){a.push(r);continue}const e=t[Hs]===Zo?-1:t[Hs];s=r[os]=new XmlObject(e,r.name);this\ -.emptyMerge&&(s[ns]=!0);t[Qn](s);this._setAndBind(r,s);continue}this.emptyMerge&&(s[ns]=!0);s=[s]}}s?this._bindOccurrences(r,s,i):o>0?this._setAndBind(r,t):a.push(r)}a.forEach((e=>e[vs]()[Zs](e)))}}class DataHandler{constructor(e,t){this.data=t;this.dataset=e.datasets||null}serialize(e){const t=[[-1,this.data[Ss]()]];for(;t.length>0;){const a=t.at(-1),[r,i]=a;if(r+1===i.length){t.pop();continue}const n=i[++a[0]],s=e.get(n[uo]);if(s)n[io](s);else{const t=n[fs]();for(const a of t.values()){const t\ -=e.get(a[uo]);if(t){a[io](t);break}}}const o=n[Ss]();o.length>0&&t.push([-1,o])}const a=[\'\'];if(this.dataset)for(const e of this.dataset[Ss]())"data"!==e[Ws]&&e[lo](a);this.data[lo](a);a.push("");return a.join("")}}const Qo=go.config.id;class Acrobat extends XFAObject{constructor(e){super(Qo,"acrobat",!0);this.acrobat7=null;this.autoSave=null;this.common=null;this.validate=null;this.validateApprovalSignatures=null;t\ -his.submitUrl=new XFAObjectArray}}class Acrobat7 extends XFAObject{constructor(e){super(Qo,"acrobat7",!0);this.dynamicRender=null}}class ADBE_JSConsole extends OptionObject{constructor(e){super(Qo,"ADBE_JSConsole",["delegate","Enable","Disable"])}}class ADBE_JSDebugger extends OptionObject{constructor(e){super(Qo,"ADBE_JSDebugger",["delegate","Enable","Disable"])}}class AddSilentPrint extends Option01{constructor(e){super(Qo,"addSilentPrint")}}class AddViewerPreferences extends Option01{construc\ -tor(e){super(Qo,"addViewerPreferences")}}class AdjustData extends Option10{constructor(e){super(Qo,"adjustData")}}class AdobeExtensionLevel extends IntegerObject{constructor(e){super(Qo,"adobeExtensionLevel",0,(e=>e>=1&&e<=8))}}class Agent extends XFAObject{constructor(e){super(Qo,"agent",!0);this.name=e.name?e.name.trim():"";this.common=new XFAObjectArray}}class AlwaysEmbed extends ContentObject{constructor(e){super(Qo,"alwaysEmbed")}}class Amd extends StringObject{constructor(e){super(Qo,"amd"\ -)}}class config_Area extends XFAObject{constructor(e){super(Qo,"area");this.level=getInteger({data:e.level,defaultValue:0,validate:e=>e>=1&&e<=3});this.name=getStringOption(e.name,["","barcode","coreinit","deviceDriver","font","general","layout","merge","script","signature","sourceSet","templateCache"])}}class Attributes extends OptionObject{constructor(e){super(Qo,"attributes",["preserve","delegate","ignore"])}}class AutoSave extends OptionObject{constructor(e){super(Qo,"autoSave",["disabled","\ -enabled"])}}class Base extends StringObject{constructor(e){super(Qo,"base")}}class BatchOutput extends XFAObject{constructor(e){super(Qo,"batchOutput");this.format=getStringOption(e.format,["none","concat","zip","zipCompress"])}}class BehaviorOverride extends ContentObject{constructor(e){super(Qo,"behaviorOverride")}[hs](){this[ss]=new Map(this[ss].trim().split(/\\s+/).filter((e=>e.includes(":"))).map((e=>e.split(":",2))))}}class Cache extends XFAObject{constructor(e){super(Qo,"cache",!0);this.te\ -mplateCache=null}}class Change extends Option01{constructor(e){super(Qo,"change")}}class Common extends XFAObject{constructor(e){super(Qo,"common",!0);this.data=null;this.locale=null;this.localeSet=null;this.messaging=null;this.suppressBanner=null;this.template=null;this.validationMessaging=null;this.versionControl=null;this.log=new XFAObjectArray}}class Compress extends XFAObject{constructor(e){super(Qo,"compress");this.scope=getStringOption(e.scope,["imageOnly","document"])}}class CompressLogi\ -calStructure extends Option01{constructor(e){super(Qo,"compressLogicalStructure")}}class CompressObjectStream extends Option10{constructor(e){super(Qo,"compressObjectStream")}}class Compression extends XFAObject{constructor(e){super(Qo,"compression",!0);this.compressLogicalStructure=null;this.compressObjectStream=null;this.level=null;this.type=null}}class Config extends XFAObject{constructor(e){super(Qo,"config",!0);this.acrobat=null;this.present=null;this.trace=null;this.agent=new XFAObjectArra\ -y}}class Conformance extends OptionObject{constructor(e){super(Qo,"conformance",["A","B"])}}class ContentCopy extends Option01{constructor(e){super(Qo,"contentCopy")}}class Copies extends IntegerObject{constructor(e){super(Qo,"copies",1,(e=>e>=1))}}class Creator extends StringObject{constructor(e){super(Qo,"creator")}}class CurrentPage extends IntegerObject{constructor(e){super(Qo,"currentPage",0,(e=>e>=0))}}class Data extends XFAObject{constructor(e){super(Qo,"data",!0);this.adjustData=null;thi\ -s.attributes=null;this.incrementalLoad=null;this.outputXSL=null;this.range=null;this.record=null;this.startNode=null;this.uri=null;this.window=null;this.xsl=null;this.excludeNS=new XFAObjectArray;this.transform=new XFAObjectArray}}class Debug extends XFAObject{constructor(e){super(Qo,"debug",!0);this.uri=null}}class DefaultTypeface extends ContentObject{constructor(e){super(Qo,"defaultTypeface");this.writingScript=getStringOption(e.writingScript,["*","Arabic","Cyrillic","EastEuropeanRoman","Gree\ -k","Hebrew","Japanese","Korean","Roman","SimplifiedChinese","Thai","TraditionalChinese","Vietnamese"])}}class Destination extends OptionObject{constructor(e){super(Qo,"destination",["pdf","pcl","ps","webClient","zpl"])}}class DocumentAssembly extends Option01{constructor(e){super(Qo,"documentAssembly")}}class Driver extends XFAObject{constructor(e){super(Qo,"driver",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class DuplexOption extends OptionObject{constructor(e){supe\ -r(Qo,"duplexOption",["simplex","duplexFlipLongEdge","duplexFlipShortEdge"])}}class DynamicRender extends OptionObject{constructor(e){super(Qo,"dynamicRender",["forbidden","required"])}}class Embed extends Option01{constructor(e){super(Qo,"embed")}}class config_Encrypt extends Option01{constructor(e){super(Qo,"encrypt")}}class config_Encryption extends XFAObject{constructor(e){super(Qo,"encryption",!0);this.encrypt=null;this.encryptionLevel=null;this.permissions=null}}class EncryptionLevel extend\ -s OptionObject{constructor(e){super(Qo,"encryptionLevel",["40bit","128bit"])}}class Enforce extends StringObject{constructor(e){super(Qo,"enforce")}}class Equate extends XFAObject{constructor(e){super(Qo,"equate");this.force=getInteger({data:e.force,defaultValue:1,validate:e=>0===e});this.from=e.from||"";this.to=e.to||""}}class EquateRange extends XFAObject{constructor(e){super(Qo,"equateRange");this.from=e.from||"";this.to=e.to||"";this._unicodeRange=e.unicodeRange||""}get unicodeRange(){const \ -e=[],t=/U\\+([0-9a-fA-F]+)/,a=this._unicodeRange;for(let r of a.split(",").map((e=>e.trim())).filter((e=>!!e))){r=r.split("-",2).map((e=>{const a=e.match(t);return a?parseInt(a[1],16):0}));1===r.length&&r.push(r[0]);e.push(r)}return shadow(this,"unicodeRange",e)}}class Exclude extends ContentObject{constructor(e){super(Qo,"exclude")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>e&&["calculate","close","enter","exit","initialize","ready","validate"].includes(e)))}}class ExcludeNS extends\ - StringObject{constructor(e){super(Qo,"excludeNS")}}class FlipLabel extends OptionObject{constructor(e){super(Qo,"flipLabel",["usePrinterSetting","on","off"])}}class config_FontInfo extends XFAObject{constructor(e){super(Qo,"fontInfo",!0);this.embed=null;this.map=null;this.subsetBelow=null;this.alwaysEmbed=new XFAObjectArray;this.defaultTypeface=new XFAObjectArray;this.neverEmbed=new XFAObjectArray}}class FormFieldFilling extends Option01{constructor(e){super(Qo,"formFieldFilling")}}class GroupP\ -arent extends StringObject{constructor(e){super(Qo,"groupParent")}}class IfEmpty extends OptionObject{constructor(e){super(Qo,"ifEmpty",["dataValue","dataGroup","ignore","remove"])}}class IncludeXDPContent extends StringObject{constructor(e){super(Qo,"includeXDPContent")}}class IncrementalLoad extends OptionObject{constructor(e){super(Qo,"incrementalLoad",["none","forwardOnly"])}}class IncrementalMerge extends Option01{constructor(e){super(Qo,"incrementalMerge")}}class Interactive extends Option\ -01{constructor(e){super(Qo,"interactive")}}class Jog extends OptionObject{constructor(e){super(Qo,"jog",["usePrinterSetting","none","pageSet"])}}class LabelPrinter extends XFAObject{constructor(e){super(Qo,"labelPrinter",!0);this.name=getStringOption(e.name,["zpl","dpl","ipl","tcpl"]);this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class Layout extends OptionObject{constructor(e){super(Qo,"layout",["paginate","panel"])}}class Level extends IntegerObject{constructor(e)\ -{super(Qo,"level",0,(e=>e>0))}}class Linearized extends Option01{constructor(e){super(Qo,"linearized")}}class Locale extends StringObject{constructor(e){super(Qo,"locale")}}class LocaleSet extends StringObject{constructor(e){super(Qo,"localeSet")}}class Log extends XFAObject{constructor(e){super(Qo,"log",!0);this.mode=null;this.threshold=null;this.to=null;this.uri=null}}class MapElement extends XFAObject{constructor(e){super(Qo,"map",!0);this.equate=new XFAObjectArray;this.equateRange=new XFAObj\ -ectArray}}class MediumInfo extends XFAObject{constructor(e){super(Qo,"mediumInfo",!0);this.map=null}}class config_Message extends XFAObject{constructor(e){super(Qo,"message",!0);this.msgId=null;this.severity=null}}class Messaging extends XFAObject{constructor(e){super(Qo,"messaging",!0);this.message=new XFAObjectArray}}class Mode extends OptionObject{constructor(e){super(Qo,"mode",["append","overwrite"])}}class ModifyAnnots extends Option01{constructor(e){super(Qo,"modifyAnnots")}}class MsgId ex\ -tends IntegerObject{constructor(e){super(Qo,"msgId",1,(e=>e>=1))}}class NameAttr extends StringObject{constructor(e){super(Qo,"nameAttr")}}class NeverEmbed extends ContentObject{constructor(e){super(Qo,"neverEmbed")}}class NumberOfCopies extends IntegerObject{constructor(e){super(Qo,"numberOfCopies",null,(e=>e>=2&&e<=5))}}class OpenAction extends XFAObject{constructor(e){super(Qo,"openAction",!0);this.destination=null}}class Output extends XFAObject{constructor(e){super(Qo,"output",!0);this.to=n\ -ull;this.type=null;this.uri=null}}class OutputBin extends StringObject{constructor(e){super(Qo,"outputBin")}}class OutputXSL extends XFAObject{constructor(e){super(Qo,"outputXSL",!0);this.uri=null}}class Overprint extends OptionObject{constructor(e){super(Qo,"overprint",["none","both","draw","field"])}}class Packets extends StringObject{constructor(e){super(Qo,"packets")}[hs](){"*"!==this[ss]&&(this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["config","datasets","template","xfdf","xslt"].includ\ -es(e))))}}class PageOffset extends XFAObject{constructor(e){super(Qo,"pageOffset");this.x=getInteger({data:e.x,defaultValue:"useXDCSetting",validate:e=>!0});this.y=getInteger({data:e.y,defaultValue:"useXDCSetting",validate:e=>!0})}}class PageRange extends StringObject{constructor(e){super(Qo,"pageRange")}[hs](){const e=this[ss].trim().split(/\\s+/).map((e=>parseInt(e,10))),t=[];for(let a=0,r=e.length;a!1))}}class Pcl extends XFAObject{constructor(e){super(Qo,"pcl",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=nul\ -l;this.pageOffset=null;this.staple=null;this.xdc=null}}class Pdf extends XFAObject{constructor(e){super(Qo,"pdf",!0);this.name=e.name||"";this.adobeExtensionLevel=null;this.batchOutput=null;this.compression=null;this.creator=null;this.encryption=null;this.fontInfo=null;this.interactive=null;this.linearized=null;this.openAction=null;this.pdfa=null;this.producer=null;this.renderPolicy=null;this.scriptModel=null;this.silentPrint=null;this.submitFormat=null;this.tagged=null;this.version=null;this.vi\ -ewerPreferences=null;this.xdc=null}}class Pdfa extends XFAObject{constructor(e){super(Qo,"pdfa",!0);this.amd=null;this.conformance=null;this.includeXDPContent=null;this.part=null}}class Permissions extends XFAObject{constructor(e){super(Qo,"permissions",!0);this.accessibleContent=null;this.change=null;this.contentCopy=null;this.documentAssembly=null;this.formFieldFilling=null;this.modifyAnnots=null;this.plaintextMetadata=null;this.print=null;this.printHighQuality=null}}class PickTrayByPDFSize ex\ -tends Option01{constructor(e){super(Qo,"pickTrayByPDFSize")}}class config_Picture extends StringObject{constructor(e){super(Qo,"picture")}}class PlaintextMetadata extends Option01{constructor(e){super(Qo,"plaintextMetadata")}}class Presence extends OptionObject{constructor(e){super(Qo,"presence",["preserve","dissolve","dissolveStructure","ignore","remove"])}}class Present extends XFAObject{constructor(e){super(Qo,"present",!0);this.behaviorOverride=null;this.cache=null;this.common=null;this.copi\ -es=null;this.destination=null;this.incrementalMerge=null;this.layout=null;this.output=null;this.overprint=null;this.pagination=null;this.paginationOverride=null;this.script=null;this.validate=null;this.xdp=null;this.driver=new XFAObjectArray;this.labelPrinter=new XFAObjectArray;this.pcl=new XFAObjectArray;this.pdf=new XFAObjectArray;this.ps=new XFAObjectArray;this.submitUrl=new XFAObjectArray;this.webClient=new XFAObjectArray;this.zpl=new XFAObjectArray}}class Print extends Option01{constructor(\ -e){super(Qo,"print")}}class PrintHighQuality extends Option01{constructor(e){super(Qo,"printHighQuality")}}class PrintScaling extends OptionObject{constructor(e){super(Qo,"printScaling",["appdefault","noScaling"])}}class PrinterName extends StringObject{constructor(e){super(Qo,"printerName")}}class Producer extends StringObject{constructor(e){super(Qo,"producer")}}class Ps extends XFAObject{constructor(e){super(Qo,"ps",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=nu\ -ll;this.mediumInfo=null;this.outputBin=null;this.staple=null;this.xdc=null}}class Range extends ContentObject{constructor(e){super(Qo,"range")}[hs](){this[ss]=this[ss].split(",",2).map((e=>e.split("-").map((e=>parseInt(e.trim(),10))))).filter((e=>e.every((e=>!isNaN(e))))).map((e=>{1===e.length&&e.push(e[0]);return e}))}}class Record extends ContentObject{constructor(e){super(Qo,"record")}[hs](){this[ss]=this[ss].trim();const e=parseInt(this[ss],10);!isNaN(e)&&e>=0&&(this[ss]=e)}}class Relevant e\ -xtends ContentObject{constructor(e){super(Qo,"relevant")}[hs](){this[ss]=this[ss].trim().split(/\\s+/)}}class Rename extends ContentObject{constructor(e){super(Qo,"rename")}[hs](){this[ss]=this[ss].trim();(this[ss].toLowerCase().startsWith("xml")||new RegExp("[\\\\p{L}_][\\\\p{L}\\\\d._\\\\p{M}-]*","u").test(this[ss]))&&warn("XFA - Rename: invalid XFA name")}}class RenderPolicy extends OptionObject{constructor(e){super(Qo,"renderPolicy",["server","client"])}}class RunScripts extends OptionObject{construc\ -tor(e){super(Qo,"runScripts",["both","client","none","server"])}}class config_Script extends XFAObject{constructor(e){super(Qo,"script",!0);this.currentPage=null;this.exclude=null;this.runScripts=null}}class ScriptModel extends OptionObject{constructor(e){super(Qo,"scriptModel",["XFA","none"])}}class Severity extends OptionObject{constructor(e){super(Qo,"severity",["ignore","error","information","trace","warning"])}}class SilentPrint extends XFAObject{constructor(e){super(Qo,"silentPrint",!0);th\ -is.addSilentPrint=null;this.printerName=null}}class Staple extends XFAObject{constructor(e){super(Qo,"staple");this.mode=getStringOption(e.mode,["usePrinterSetting","on","off"])}}class StartNode extends StringObject{constructor(e){super(Qo,"startNode")}}class StartPage extends IntegerObject{constructor(e){super(Qo,"startPage",0,(e=>!0))}}class SubmitFormat extends OptionObject{constructor(e){super(Qo,"submitFormat",["html","delegate","fdf","xml","pdf"])}}class SubmitUrl extends StringObject{cons\ -tructor(e){super(Qo,"submitUrl")}}class SubsetBelow extends IntegerObject{constructor(e){super(Qo,"subsetBelow",100,(e=>e>=0&&e<=100))}}class SuppressBanner extends Option01{constructor(e){super(Qo,"suppressBanner")}}class Tagged extends Option01{constructor(e){super(Qo,"tagged")}}class config_Template extends XFAObject{constructor(e){super(Qo,"template",!0);this.base=null;this.relevant=null;this.startPage=null;this.uri=null;this.xsl=null}}class Threshold extends OptionObject{constructor(e){supe\ -r(Qo,"threshold",["trace","error","information","warning"])}}class To extends OptionObject{constructor(e){super(Qo,"to",["null","memory","stderr","stdout","system","uri"])}}class TemplateCache extends XFAObject{constructor(e){super(Qo,"templateCache");this.maxEntries=getInteger({data:e.maxEntries,defaultValue:5,validate:e=>e>=0})}}class Trace extends XFAObject{constructor(e){super(Qo,"trace",!0);this.area=new XFAObjectArray}}class Transform extends XFAObject{constructor(e){super(Qo,"transform",!\ -0);this.groupParent=null;this.ifEmpty=null;this.nameAttr=null;this.picture=null;this.presence=null;this.rename=null;this.whitespace=null}}class Type extends OptionObject{constructor(e){super(Qo,"type",["none","ascii85","asciiHex","ccittfax","flate","lzw","runLength","native","xdp","mergedXDP"])}}class Uri extends StringObject{constructor(e){super(Qo,"uri")}}class config_Validate extends OptionObject{constructor(e){super(Qo,"validate",["preSubmit","prePrint","preExecute","preSave"])}}class Valida\ -teApprovalSignatures extends ContentObject{constructor(e){super(Qo,"validateApprovalSignatures")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["docReady","postSign"].includes(e)))}}class ValidationMessaging extends OptionObject{constructor(e){super(Qo,"validationMessaging",["allMessagesIndividually","allMessagesTogether","firstMessageOnly","noMessages"])}}class Version extends OptionObject{constructor(e){super(Qo,"version",["1.7","1.6","1.5","1.4","1.3","1.2"])}}class VersionControl e\ -xtends XFAObject{constructor(e){super(Qo,"VersionControl");this.outputBelow=getStringOption(e.outputBelow,["warn","error","update"]);this.sourceAbove=getStringOption(e.sourceAbove,["warn","error"]);this.sourceBelow=getStringOption(e.sourceBelow,["update","maintain"])}}class ViewerPreferences extends XFAObject{constructor(e){super(Qo,"viewerPreferences",!0);this.ADBE_JSConsole=null;this.ADBE_JSDebugger=null;this.addViewerPreferences=null;this.duplexOption=null;this.enforce=null;this.numberOfCopie\ -s=null;this.pageRange=null;this.pickTrayByPDFSize=null;this.printScaling=null}}class WebClient extends XFAObject{constructor(e){super(Qo,"webClient",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class Whitespace extends OptionObject{constructor(e){super(Qo,"whitespace",["preserve","ltrim","normalize","rtrim","trim"])}}class Window extends ContentObject{constructor(e){super(Qo,"window")}[hs](){const e=this[ss].split(",",2).map((e=>parseInt(e.trim(),10)));if(e.some((e=>is\ -NaN(e))))this[ss]=[0,0];else{1===e.length&&e.push(e[0]);this[ss]=e}}}class Xdc extends XFAObject{constructor(e){super(Qo,"xdc",!0);this.uri=new XFAObjectArray;this.xsl=new XFAObjectArray}}class Xdp extends XFAObject{constructor(e){super(Qo,"xdp",!0);this.packets=null}}class Xsl extends XFAObject{constructor(e){super(Qo,"xsl",!0);this.debug=null;this.uri=null}}class Zpl extends XFAObject{constructor(e){super(Qo,"zpl",!0);this.name=e.name?e.name.trim():"";this.batchOutput=null;this.flipLabel=null;\ -this.fontInfo=null;this.xdc=null}}class ConfigNamespace{static[fo](e,t){if(ConfigNamespace.hasOwnProperty(e))return ConfigNamespace[e](t)}static acrobat(e){return new Acrobat(e)}static acrobat7(e){return new Acrobat7(e)}static ADBE_JSConsole(e){return new ADBE_JSConsole(e)}static ADBE_JSDebugger(e){return new ADBE_JSDebugger(e)}static addSilentPrint(e){return new AddSilentPrint(e)}static addViewerPreferences(e){return new AddViewerPreferences(e)}static adjustData(e){return new AdjustData(e)}stat\ -ic adobeExtensionLevel(e){return new AdobeExtensionLevel(e)}static agent(e){return new Agent(e)}static alwaysEmbed(e){return new AlwaysEmbed(e)}static amd(e){return new Amd(e)}static area(e){return new config_Area(e)}static attributes(e){return new Attributes(e)}static autoSave(e){return new AutoSave(e)}static base(e){return new Base(e)}static batchOutput(e){return new BatchOutput(e)}static behaviorOverride(e){return new BehaviorOverride(e)}static cache(e){return new Cache(e)}static change(e){re\ -turn new Change(e)}static common(e){return new Common(e)}static compress(e){return new Compress(e)}static compressLogicalStructure(e){return new CompressLogicalStructure(e)}static compressObjectStream(e){return new CompressObjectStream(e)}static compression(e){return new Compression(e)}static config(e){return new Config(e)}static conformance(e){return new Conformance(e)}static contentCopy(e){return new ContentCopy(e)}static copies(e){return new Copies(e)}static creator(e){return new Creator(e)}s\ -tatic currentPage(e){return new CurrentPage(e)}static data(e){return new Data(e)}static debug(e){return new Debug(e)}static defaultTypeface(e){return new DefaultTypeface(e)}static destination(e){return new Destination(e)}static documentAssembly(e){return new DocumentAssembly(e)}static driver(e){return new Driver(e)}static duplexOption(e){return new DuplexOption(e)}static dynamicRender(e){return new DynamicRender(e)}static embed(e){return new Embed(e)}static encrypt(e){return new config_Encrypt(e\ -)}static encryption(e){return new config_Encryption(e)}static encryptionLevel(e){return new EncryptionLevel(e)}static enforce(e){return new Enforce(e)}static equate(e){return new Equate(e)}static equateRange(e){return new EquateRange(e)}static exclude(e){return new Exclude(e)}static excludeNS(e){return new ExcludeNS(e)}static flipLabel(e){return new FlipLabel(e)}static fontInfo(e){return new config_FontInfo(e)}static formFieldFilling(e){return new FormFieldFilling(e)}static groupParent(e){return\ - new GroupParent(e)}static ifEmpty(e){return new IfEmpty(e)}static includeXDPContent(e){return new IncludeXDPContent(e)}static incrementalLoad(e){return new IncrementalLoad(e)}static incrementalMerge(e){return new IncrementalMerge(e)}static interactive(e){return new Interactive(e)}static jog(e){return new Jog(e)}static labelPrinter(e){return new LabelPrinter(e)}static layout(e){return new Layout(e)}static level(e){return new Level(e)}static linearized(e){return new Linearized(e)}static locale(e)\ -{return new Locale(e)}static localeSet(e){return new LocaleSet(e)}static log(e){return new Log(e)}static map(e){return new MapElement(e)}static mediumInfo(e){return new MediumInfo(e)}static message(e){return new config_Message(e)}static messaging(e){return new Messaging(e)}static mode(e){return new Mode(e)}static modifyAnnots(e){return new ModifyAnnots(e)}static msgId(e){return new MsgId(e)}static nameAttr(e){return new NameAttr(e)}static neverEmbed(e){return new NeverEmbed(e)}static numberOfCop\ -ies(e){return new NumberOfCopies(e)}static openAction(e){return new OpenAction(e)}static output(e){return new Output(e)}static outputBin(e){return new OutputBin(e)}static outputXSL(e){return new OutputXSL(e)}static overprint(e){return new Overprint(e)}static packets(e){return new Packets(e)}static pageOffset(e){return new PageOffset(e)}static pageRange(e){return new PageRange(e)}static pagination(e){return new Pagination(e)}static paginationOverride(e){return new PaginationOverride(e)}static par\ -t(e){return new Part(e)}static pcl(e){return new Pcl(e)}static pdf(e){return new Pdf(e)}static pdfa(e){return new Pdfa(e)}static permissions(e){return new Permissions(e)}static pickTrayByPDFSize(e){return new PickTrayByPDFSize(e)}static picture(e){return new config_Picture(e)}static plaintextMetadata(e){return new PlaintextMetadata(e)}static presence(e){return new Presence(e)}static present(e){return new Present(e)}static print(e){return new Print(e)}static printHighQuality(e){return new PrintHi\ -ghQuality(e)}static printScaling(e){return new PrintScaling(e)}static printerName(e){return new PrinterName(e)}static producer(e){return new Producer(e)}static ps(e){return new Ps(e)}static range(e){return new Range(e)}static record(e){return new Record(e)}static relevant(e){return new Relevant(e)}static rename(e){return new Rename(e)}static renderPolicy(e){return new RenderPolicy(e)}static runScripts(e){return new RunScripts(e)}static script(e){return new config_Script(e)}static scriptModel(e){\ -return new ScriptModel(e)}static severity(e){return new Severity(e)}static silentPrint(e){return new SilentPrint(e)}static staple(e){return new Staple(e)}static startNode(e){return new StartNode(e)}static startPage(e){return new StartPage(e)}static submitFormat(e){return new SubmitFormat(e)}static submitUrl(e){return new SubmitUrl(e)}static subsetBelow(e){return new SubsetBelow(e)}static suppressBanner(e){return new SuppressBanner(e)}static tagged(e){return new Tagged(e)}static template(e){retur\ -n new config_Template(e)}static templateCache(e){return new TemplateCache(e)}static threshold(e){return new Threshold(e)}static to(e){return new To(e)}static trace(e){return new Trace(e)}static transform(e){return new Transform(e)}static type(e){return new Type(e)}static uri(e){return new Uri(e)}static validate(e){return new config_Validate(e)}static validateApprovalSignatures(e){return new ValidateApprovalSignatures(e)}static validationMessaging(e){return new ValidationMessaging(e)}static versi\ -on(e){return new Version(e)}static versionControl(e){return new VersionControl(e)}static viewerPreferences(e){return new ViewerPreferences(e)}static webClient(e){return new WebClient(e)}static whitespace(e){return new Whitespace(e)}static window(e){return new Window(e)}static xdc(e){return new Xdc(e)}static xdp(e){return new Xdp(e)}static xsl(e){return new Xsl(e)}static zpl(e){return new Zpl(e)}}const ec=go.connectionSet.id;class ConnectionSet extends XFAObject{constructor(e){super(ec,"connectio\ -nSet",!0);this.wsdlConnection=new XFAObjectArray;this.xmlConnection=new XFAObjectArray;this.xsdConnection=new XFAObjectArray}}class EffectiveInputPolicy extends XFAObject{constructor(e){super(ec,"effectiveInputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EffectiveOutputPolicy extends XFAObject{constructor(e){super(ec,"effectiveOutputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Operation \ -extends StringObject{constructor(e){super(ec,"operation");this.id=e.id||"";this.input=e.input||"";this.name=e.name||"";this.output=e.output||"";this.use=e.use||"";this.usehref=e.usehref||""}}class RootElement extends StringObject{constructor(e){super(ec,"rootElement");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAction extends StringObject{constructor(e){super(ec,"soapAction");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=\ -e.usehref||""}}class SoapAddress extends StringObject{constructor(e){super(ec,"soapAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class connection_set_Uri extends StringObject{constructor(e){super(ec,"uri");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlAddress extends StringObject{constructor(e){super(ec,"wsdlAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"\ -"}}class WsdlConnection extends XFAObject{constructor(e){super(ec,"wsdlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.effectiveInputPolicy=null;this.effectiveOutputPolicy=null;this.operation=null;this.soapAction=null;this.soapAddress=null;this.wsdlAddress=null}}class XmlConnection extends XFAObject{constructor(e){super(ec,"xmlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.uri=null}}class XsdConnection extends XFAObject{c\ -onstructor(e){super(ec,"xsdConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.rootElement=null;this.uri=null}}class ConnectionSetNamespace{static[fo](e,t){if(ConnectionSetNamespace.hasOwnProperty(e))return ConnectionSetNamespace[e](t)}static connectionSet(e){return new ConnectionSet(e)}static effectiveInputPolicy(e){return new EffectiveInputPolicy(e)}static effectiveOutputPolicy(e){return new EffectiveOutputPolicy(e)}static operation(e){return new Operation(e)}s\ -tatic rootElement(e){return new RootElement(e)}static soapAction(e){return new SoapAction(e)}static soapAddress(e){return new SoapAddress(e)}static uri(e){return new connection_set_Uri(e)}static wsdlAddress(e){return new WsdlAddress(e)}static wsdlConnection(e){return new WsdlConnection(e)}static xmlConnection(e){return new XmlConnection(e)}static xsdConnection(e){return new XsdConnection(e)}}const tc=go.datasets.id;class datasets_Data extends XmlObject{constructor(e){super(tc,"data",e)}[Ls](){re\ -turn!0}}class Datasets extends XFAObject{constructor(e){super(tc,"datasets",!0);this.data=null;this.Signature=null}[$s](e){const t=e[Ws];("data"===t&&e[Hs]===tc||"Signature"===t&&e[Hs]===go.signature.id)&&(this[t]=e);this[Qn](e)}}class DatasetsNamespace{static[fo](e,t){if(DatasetsNamespace.hasOwnProperty(e))return DatasetsNamespace[e](t)}static datasets(e){return new Datasets(e)}static data(e){return new datasets_Data(e)}}const ac=go.localeSet.id;class CalendarSymbols extends XFAObject{construct\ -or(e){super(ac,"calendarSymbols",!0);this.name="gregorian";this.dayNames=new XFAObjectArray(2);this.eraNames=null;this.meridiemNames=null;this.monthNames=new XFAObjectArray(2)}}class CurrencySymbol extends StringObject{constructor(e){super(ac,"currencySymbol");this.name=getStringOption(e.name,["symbol","isoname","decimal"])}}class CurrencySymbols extends XFAObject{constructor(e){super(ac,"currencySymbols",!0);this.currencySymbol=new XFAObjectArray(3)}}class DatePattern extends StringObject{const\ -ructor(e){super(ac,"datePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class DatePatterns extends XFAObject{constructor(e){super(ac,"datePatterns",!0);this.datePattern=new XFAObjectArray(4)}}class DateTimeSymbols extends ContentObject{constructor(e){super(ac,"dateTimeSymbols")}}class Day extends StringObject{constructor(e){super(ac,"day")}}class DayNames extends XFAObject{constructor(e){super(ac,"dayNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:\ -e=>1===e});this.day=new XFAObjectArray(7)}}class Era extends StringObject{constructor(e){super(ac,"era")}}class EraNames extends XFAObject{constructor(e){super(ac,"eraNames",!0);this.era=new XFAObjectArray(2)}}class locale_set_Locale extends XFAObject{constructor(e){super(ac,"locale",!0);this.desc=e.desc||"";this.name="isoname";this.calendarSymbols=null;this.currencySymbols=null;this.datePatterns=null;this.dateTimeSymbols=null;this.numberPatterns=null;this.numberSymbols=null;this.timePatterns=nu\ -ll;this.typeFaces=null}}class locale_set_LocaleSet extends XFAObject{constructor(e){super(ac,"localeSet",!0);this.locale=new XFAObjectArray}}class Meridiem extends StringObject{constructor(e){super(ac,"meridiem")}}class MeridiemNames extends XFAObject{constructor(e){super(ac,"meridiemNames",!0);this.meridiem=new XFAObjectArray(2)}}class Month extends StringObject{constructor(e){super(ac,"month")}}class MonthNames extends XFAObject{constructor(e){super(ac,"monthNames",!0);this.abbr=getInteger({da\ -ta:e.abbr,defaultValue:0,validate:e=>1===e});this.month=new XFAObjectArray(12)}}class NumberPattern extends StringObject{constructor(e){super(ac,"numberPattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class NumberPatterns extends XFAObject{constructor(e){super(ac,"numberPatterns",!0);this.numberPattern=new XFAObjectArray(4)}}class NumberSymbol extends StringObject{constructor(e){super(ac,"numberSymbol");this.name=getStringOption(e.name,["decimal","grouping","percent","m\ -inus","zero"])}}class NumberSymbols extends XFAObject{constructor(e){super(ac,"numberSymbols",!0);this.numberSymbol=new XFAObjectArray(5)}}class TimePattern extends StringObject{constructor(e){super(ac,"timePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class TimePatterns extends XFAObject{constructor(e){super(ac,"timePatterns",!0);this.timePattern=new XFAObjectArray(4)}}class TypeFace extends XFAObject{constructor(e){super(ac,"typeFace",!0);this.name=""|e.name}}class\ - TypeFaces extends XFAObject{constructor(e){super(ac,"typeFaces",!0);this.typeFace=new XFAObjectArray}}class LocaleSetNamespace{static[fo](e,t){if(LocaleSetNamespace.hasOwnProperty(e))return LocaleSetNamespace[e](t)}static calendarSymbols(e){return new CalendarSymbols(e)}static currencySymbol(e){return new CurrencySymbol(e)}static currencySymbols(e){return new CurrencySymbols(e)}static datePattern(e){return new DatePattern(e)}static datePatterns(e){return new DatePatterns(e)}static dateTimeSymbo\ -ls(e){return new DateTimeSymbols(e)}static day(e){return new Day(e)}static dayNames(e){return new DayNames(e)}static era(e){return new Era(e)}static eraNames(e){return new EraNames(e)}static locale(e){return new locale_set_Locale(e)}static localeSet(e){return new locale_set_LocaleSet(e)}static meridiem(e){return new Meridiem(e)}static meridiemNames(e){return new MeridiemNames(e)}static month(e){return new Month(e)}static monthNames(e){return new MonthNames(e)}static numberPattern(e){return new N\ -umberPattern(e)}static numberPatterns(e){return new NumberPatterns(e)}static numberSymbol(e){return new NumberSymbol(e)}static numberSymbols(e){return new NumberSymbols(e)}static timePattern(e){return new TimePattern(e)}static timePatterns(e){return new TimePatterns(e)}static typeFace(e){return new TypeFace(e)}static typeFaces(e){return new TypeFaces(e)}}const rc=go.signature.id;class signature_Signature extends XFAObject{constructor(e){super(rc,"signature",!0)}}class SignatureNamespace{static[f\ -o](e,t){if(SignatureNamespace.hasOwnProperty(e))return SignatureNamespace[e](t)}static signature(e){return new signature_Signature(e)}}const ic=go.stylesheet.id;class Stylesheet extends XFAObject{constructor(e){super(ic,"stylesheet",!0)}}class StylesheetNamespace{static[fo](e,t){if(StylesheetNamespace.hasOwnProperty(e))return StylesheetNamespace[e](t)}static stylesheet(e){return new Stylesheet(e)}}const nc=go.xdp.id;class xdp_Xdp extends XFAObject{constructor(e){super(nc,"xdp",!0);this.uuid=e.uu\ -id||"";this.timeStamp=e.timeStamp||"";this.config=null;this.connectionSet=null;this.datasets=null;this.localeSet=null;this.stylesheet=new XFAObjectArray;this.template=null}[Gs](e){const t=go[e[Ws]];return t&&e[Hs]===t.id}}class XdpNamespace{static[fo](e,t){if(XdpNamespace.hasOwnProperty(e))return XdpNamespace[e](t)}static xdp(e){return new xdp_Xdp(e)}}const sc=go.xhtml.id,oc=Symbol(),cc=new Set(["color","font","font-family","font-size","font-stretch","font-style","font-weight","margin","margin-b\ -ottom","margin-left","margin-right","margin-top","letter-spacing","line-height","orphans","page-break-after","page-break-before","page-break-inside","tab-interval","tab-stop","text-align","text-decoration","text-indent","vertical-align","widows","kerning-mode","xfa-font-horizontal-scale","xfa-font-vertical-scale","xfa-spacerun","xfa-tab-stops"]),lc=new Map([["page-break-after","breakAfter"],["page-break-before","breakBefore"],["page-break-inside","breakInside"],["kerning-mode",e=>"none"===e?"non\ -e":"normal"],["xfa-font-horizontal-scale",e=>`scaleX(${Math.max(0,parseInt(e)/100).toFixed(2)})`],["xfa-font-vertical-scale",e=>`scaleY(${Math.max(0,parseInt(e)/100).toFixed(2)})`],["xfa-spacerun",""],["xfa-tab-stops",""],["font-size",(e,t)=>measureToString(.99*(e=t.fontSize=Math.abs(getMeasurement(e))))],["letter-spacing",e=>measureToString(getMeasurement(e))],["line-height",e=>measureToString(getMeasurement(e))],["margin",e=>measureToString(getMeasurement(e))],["margin-bottom",e=>measureToStri\ -ng(getMeasurement(e))],["margin-left",e=>measureToString(getMeasurement(e))],["margin-right",e=>measureToString(getMeasurement(e))],["margin-top",e=>measureToString(getMeasurement(e))],["text-indent",e=>measureToString(getMeasurement(e))],["font-family",e=>e],["vertical-align",e=>measureToString(getMeasurement(e))]]),hc=/\\s+/g,uc=/[\\r\\n]+/g,dc=/\\r\\n?/g;function mapStyle(e,t,a){const r=Object.create(null);if(!e)return r;const i=Object.create(null);for(const[t,a]of e.split(";").map((e=>e.split(":"\ -,2)))){const e=lc.get(t);if(""===e)continue;let n=a;e&&(n="string"==typeof e?e:e(a,i));t.endsWith("scale")?r.transform=r.transform?`${r[t]} ${n}`:n:r[t.replaceAll(/-([a-zA-Z])/g,((e,t)=>t.toUpperCase()))]=n}r.fontFamily&&setFontFamily({typeface:r.fontFamily,weight:r.fontWeight||"normal",posture:r.fontStyle||"normal",size:i.fontSize||0},t,t[Is].fontFinder,r);if(a&&r.verticalAlign&&"0px"!==r.verticalAlign&&r.fontSize){const e=.583,t=.333,a=getMeasurement(r.fontSize);r.fontSize=measureToString(a*e)\ -;r.verticalAlign=measureToString(Math.sign(getMeasurement(r.verticalAlign))*a*t)}a&&r.fontSize&&(r.fontSize=`calc(${r.fontSize} * var(--total-scale-factor))`);fixTextIndent(r);return r}const fc=new Set(["body","html"]);class XhtmlObject extends XmlObject{constructor(e,t){super(sc,t);this[oc]=!1;this.style=e.style||""}[ts](e){super[ts](e);this.style=function checkStyle(e){return e.style?e.style.split(";").filter((e=>!!e.trim())).map((e=>e.split(":",2).map((e=>e.trim())))).filter((([t,a])=>{"font-\ -family"===t&&e[Is].usedTypefaces.add(a);return cc.has(t)})).map((e=>e.join(":"))).join(";"):""}(this)}[Yn](){return!fc.has(this[Ws])}[Vs](e,t=!1){if(t)this[oc]=!0;else{e=e.replaceAll(uc,"");this.style.includes("xfa-spacerun:yes")||(e=e.replaceAll(hc," "))}e&&(this[ss]+=e)}[Ks](e,t=!0){const a=Object.create(null),r={top:NaN,bottom:NaN,left:NaN,right:NaN};let i=null;for(const[e,t]of this.style.split(";").map((e=>e.split(":",2))))switch(e){case"font-family":a.typeface=stripQuotes(t);break;case"font\ --size":a.size=getMeasurement(t);break;case"font-weight":a.weight=t;break;case"font-style":a.posture=t;break;case"letter-spacing":a.letterSpacing=getMeasurement(t);break;case"margin":const e=t.split(/ \\t/).map((e=>getMeasurement(e)));switch(e.length){case 1:r.top=r.bottom=r.left=r.right=e[0];break;case 2:r.top=r.bottom=e[0];r.left=r.right=e[1];break;case 3:r.top=e[0];r.bottom=e[2];r.left=r.right=e[1];break;case 4:r.top=e[0];r.left=e[1];r.bottom=e[2];r.right=e[3]}break;case"margin-top":r.top=getMe\ -asurement(t);break;case"margin-bottom":r.bottom=getMeasurement(t);break;case"margin-left":r.left=getMeasurement(t);break;case"margin-right":r.right=getMeasurement(t);break;case"line-height":i=getMeasurement(t)}e.pushData(a,r,i);if(this[ss])e.addString(this[ss]);else for(const t of this[Ss]())"#text"!==t[Ws]?t[Ks](e):e.addString(t[ss]);t&&e.popFont()}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length&&!this[ss])return HTMLResult.EMPTY;let a;a=this[oc]?this[ss]?this[ss].replaceA\ -ll(dc,"\\n"):void 0:this[ss]||void 0;return HTMLResult.success({name:this[Ws],attributes:{href:this.href,style:mapStyle(this.style,this,this[oc])},children:t,value:a})}}class A extends XhtmlObject{constructor(e){super(e,"a");this.href=fixURL(e.href)||""}}class B extends XhtmlObject{constructor(e){super(e,"b")}[Ks](e){e.pushFont({weight:"bold"});super[Ks](e);e.popFont()}}class Body extends XhtmlObject{constructor(e){super(e,"body")}[co](e){const t=super[co](e),{html:a}=t;if(!a)return HTMLResult.EM\ -PTY;a.name="div";a.attributes.class=["xfaRich"];return t}}class Br extends XhtmlObject{constructor(e){super(e,"br")}[so](){return"\\n"}[Ks](e){e.addString("\\n")}[co](e){return HTMLResult.success({name:"br"})}}class Html extends XhtmlObject{constructor(e){super(e,"html")}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length)return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},value:this[ss]||""});if(1===t.length){const e=t[0];if(e.attributes?.class.includes\ -("xfaRich"))return HTMLResult.success(e)}return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},children:t})}}class I extends XhtmlObject{constructor(e){super(e,"i")}[Ks](e){e.pushFont({posture:"italic"});super[Ks](e);e.popFont()}}class Li extends XhtmlObject{constructor(e){super(e,"li")}}class Ol extends XhtmlObject{constructor(e){super(e,"ol")}}class P extends XhtmlObject{constructor(e){super(e,"p")}[Ks](e){super[Ks](e,!1);e.addString("\\n");e.addPara();e.popFont()}[so]()\ -{return this[vs]()[Ss]().at(-1)===this?super[so]():super[so]()+"\\n"}}class Span extends XhtmlObject{constructor(e){super(e,"span")}}class Sub extends XhtmlObject{constructor(e){super(e,"sub")}}class Sup extends XhtmlObject{constructor(e){super(e,"sup")}}class Ul extends XhtmlObject{constructor(e){super(e,"ul")}}class XhtmlNamespace{static[fo](e,t){if(XhtmlNamespace.hasOwnProperty(e))return XhtmlNamespace[e](t)}static a(e){return new A(e)}static b(e){return new B(e)}static body(e){return new Body\ -(e)}static br(e){return new Br(e)}static html(e){return new Html(e)}static i(e){return new I(e)}static li(e){return new Li(e)}static ol(e){return new Ol(e)}static p(e){return new P(e)}static span(e){return new Span(e)}static sub(e){return new Sub(e)}static sup(e){return new Sup(e)}static ul(e){return new Ul(e)}}const gc={config:ConfigNamespace,connection:ConnectionSetNamespace,datasets:DatasetsNamespace,localeSet:LocaleSetNamespace,signature:SignatureNamespace,stylesheet:StylesheetNamespace,temp\ -late:TemplateNamespace,xdp:XdpNamespace,xhtml:XhtmlNamespace};class UnknownNamespace{constructor(e){this.namespaceId=e}[fo](e,t){return new XmlObject(this.namespaceId,e,t)}}class Root extends XFAObject{constructor(e){super(-1,"root",Object.create(null));this.element=null;this[Os]=e}[$s](e){this.element=e;return!0}[hs](){super[hs]();if(this.element.template instanceof Template){this[Os].set(Qs,this.element);this.element.template[eo](this[Os]);this.element.template[Os]=this[Os]}}}class Empty exten\ -ds XFAObject{constructor(){super(-1,"",Object.create(null))}[$s](e){return!1}}class Builder{constructor(e=null){this._namespaceStack=[];this._nsAgnosticLevel=0;this._namespacePrefixes=new Map;this._namespaces=new Map;this._nextNsId=Math.max(...Object.values(go).map((({id:e})=>e)));this._currentNamespace=e||new UnknownNamespace(++this._nextNsId)}buildRoot(e){return new Root(e)}build({nsPrefix:e,name:t,attributes:a,namespace:r,prefixes:i}){const n=null!==r;if(n){this._namespaceStack.push(this._cur\ -rentNamespace);this._currentNamespace=this._searchNamespace(r)}i&&this._addNamespacePrefix(i);if(a.hasOwnProperty(zs)){const e=gc.datasets,t=a[zs];let r=null;for(const[a,i]of Object.entries(t)){if(this._getNamespaceToUse(a)===e){r={xfa:i};break}}r?a[zs]=r:delete a[zs]}const s=this._getNamespaceToUse(e),o=s?.[fo](t,a)||new Empty;o[Ls]()&&this._nsAgnosticLevel++;(n||i||o[Ls]())&&(o[rs]={hasNamespace:n,prefixes:i,nsAgnostic:o[Ls]()});return o}isNsAgnostic(){return this._nsAgnosticLevel>0}_searchNam\ -espace(e){let t=this._namespaces.get(e);if(t)return t;for(const[a,{check:r}]of Object.entries(go))if(r(e)){t=gc[a];if(t){this._namespaces.set(e,t);return t}break}t=new UnknownNamespace(++this._nextNsId);this._namespaces.set(e,t);return t}_addNamespacePrefix(e){for(const{prefix:t,value:a}of e){const e=this._searchNamespace(a);let r=this._namespacePrefixes.get(t);if(!r){r=[];this._namespacePrefixes.set(t,r)}r.push(e)}}_getNamespaceToUse(e){if(!e)return this._currentNamespace;const t=this._namespac\ -ePrefixes.get(e);if(t?.length>0)return t.at(-1);warn(`Unknown namespace prefix: ${e}.`);return null}clean(e){const{hasNamespace:t,prefixes:a,nsAgnostic:r}=e;t&&(this._currentNamespace=this._namespaceStack.pop());a&&a.forEach((({prefix:e})=>{this._namespacePrefixes.get(e).pop()}));r&&this._nsAgnosticLevel--}}class XFAParser extends XMLParserBase{constructor(e=null,t=!1){super();this._builder=new Builder(e);this._stack=[];this._globalData={usedTypefaces:new Set};this._ids=new Map;this._current=thi\ -s._builder.buildRoot(this._ids);this._errorCode=jn;this._whiteRegex=/^\\s+$/;this._nbsps=/\\xa0+/g;this._richText=t}parse(e){this.parseXml(e);if(this._errorCode===jn){this._current[hs]();return this._current.element}}onText(e){e=e.replace(this._nbsps,(e=>e.slice(1)+" "));this._richText||this._current[Yn]()?this._current[Vs](e,this._richText):this._whiteRegex.test(e)||this._current[Vs](e.trim())}onCdata(e){this._current[Vs](e)}_mkAttributes(e,t){let a=null,r=null;const i=Object.create({});for(const\ -{name:n,value:s}of e)if("xmlns"===n)a?warn(`XFA - multiple namespace definition in <${t}>`):a=s;else if(n.startsWith("xmlns:")){const e=n.substring(6);r??=[];r.push({prefix:e,value:s})}else{const e=n.indexOf(":");if(-1===e)i[n]=s;else{const t=i[zs]??=Object.create(null),[a,r]=[n.slice(0,e),n.slice(e+1)];(t[a]||=Object.create(null))[r]=s}}return[a,r,i]}_getNameAndPrefix(e,t){const a=e.indexOf(":");return-1===a?[e,null]:[e.substring(a+1),t?"":e.substring(0,a)]}onBeginElement(e,t,a){const[r,i,n]=th\ -is._mkAttributes(t,e),[s,o]=this._getNameAndPrefix(e,this._builder.isNsAgnostic()),c=this._builder.build({nsPrefix:o,name:s,attributes:n,namespace:r,prefixes:i});c[Is]=this._globalData;if(a){c[hs]();this._current[$s](c)&&c[ao](this._ids);c[ts](this._builder)}else{this._stack.push(this._current);this._current=c}}onEndElement(e){const t=this._current;if(t[Bs]()&&"string"==typeof t[ss]){const e=new XFAParser;e._globalData=this._globalData;const a=e.parse(t[ss]);t[ss]=null;t[$s](a)}t[hs]();this._cur\ -rent=this._stack.pop();this._current[$s](t)&&t[ao](this._ids);t[ts](this._builder)}onError(e){this._errorCode=e}}class XFAFactory{constructor(e){try{this.root=(new XFAParser).parse(XFAFactory._createDocument(e));const t=new Binder(this.root);this.form=t.bind();this.dataHandler=new DataHandler(this.root,t.getData());this.form[Is].template=this.form}catch(e){warn(`XFA - an error occurred during parsing and binding: ${e}`)}}isValid(){return!(!this.root||!this.form)}_createPagesHelper(){const e=this\ -.form[oo]();return new Promise(((t,a)=>{const nextIteration=()=>{try{const a=e.next();a.done?t(a.value):setTimeout(nextIteration,0)}catch(e){a(e)}};setTimeout(nextIteration,0)}))}async _createPages(){try{this.pages=await this._createPagesHelper();this.dims=this.pages.children.map((e=>{const{width:t,height:a}=e.attributes.style;return[0,0,parseInt(t),parseInt(a)]}))}catch(e){warn(`XFA - an error occurred during layout: ${e}`)}}getBoundingBox(e){return this.dims[e]}async getNumPages(){this.pages||\ -await this._createPages();return this.dims.length}setImages(e){this.form[Is].images=e}setFonts(e){this.form[Is].fontFinder=new FontFinder(e);const t=[];for(let e of this.form[Is].usedTypefaces){e=stripQuotes(e);this.form[Is].fontFinder.find(e)||t.push(e)}return t.length>0?t:null}appendFonts(e,t){this.form[Is].fontFinder.add(e,t)}async getPages(){this.pages||await this._createPages();const e=this.pages;this.pages=null;return e}serializeData(e){return this.dataHandler.serialize(e)}static _createDo\ -cument(e){return e["/xdp:xdp"]?Object.values(e).join(""):e["xdp:xdp"]}static getRichTextAsHtml(e){if(!e||"string"!=typeof e)return null;try{let t=new XFAParser(XhtmlNamespace,!0).parse(e);if(!["body","xhtml"].includes(t[Ws])){const e=XhtmlNamespace.body({});e[Qn](t);t=e}const a=t[co]();if(!a.success)return null;const{html:r}=a,{attributes:i}=r;if(i){i.class&&(i.class=i.class.filter((e=>!e.startsWith("xfa"))));i.dir="auto"}return{html:r,str:t[so]()}}catch(e){warn(`XFA - an error occurred during p\ -arsing of rich text: ${e}`)}return null}}class AnnotationFactory{static createGlobals(e){return Promise.all([e.ensureCatalog("acroForm"),e.ensureDoc("xfaDatasets"),e.ensureCatalog("structTreeRoot"),e.ensureCatalog("baseUrl"),e.ensureCatalog("attachments"),e.ensureCatalog("globalColorSpaceCache")]).then((([t,a,r,i,n,s])=>({pdfManager:e,acroForm:t instanceof Dict?t:Dict.empty,xfaDatasets:a,structTreeRoot:r,baseUrl:i,attachments:n,globalColorSpaceCache:s})),(e=>{warn(`createGlobals: "${e}".`);retur\ -n null}))}static async create(e,t,a,r,i,n,s){const o=i?await this._getPageIndex(e,t,a.pdfManager):null;return a.pdfManager.ensure(this,"_create",[e,t,a,r,i,n,o,s])}static _create(e,t,a,r,i=!1,n=null,s=null,o=null){const c=e.fetchIfRef(t);if(!(c instanceof Dict))return;const{acroForm:l,pdfManager:h}=a,u=t instanceof Ref?t.toString():`annot_${r.createObjId()}`;let d=c.get("Subtype");d=d instanceof Name?d.name:null;const f={xref:e,ref:t,dict:c,subtype:d,id:u,annotationGlobals:a,collectFields:i,orph\ -anFields:n,needAppearances:!i&&!0===l.get("NeedAppearances"),pageIndex:s,evaluatorOptions:h.evaluatorOptions,pageRef:o};switch(d){case"Link":return new LinkAnnotation(f);case"Text":return new TextAnnotation(f);case"Widget":let e=getInheritableProperty({dict:c,key:"FT"});e=e instanceof Name?e.name:null;switch(e){case"Tx":return new TextWidgetAnnotation(f);case"Btn":return new ButtonWidgetAnnotation(f);case"Ch":return new ChoiceWidgetAnnotation(f);case"Sig":return new SignatureWidgetAnnotation(f)}\ -warn(`Unimplemented widget field type "${e}", falling back to base field type.`);return new WidgetAnnotation(f);case"Popup":return new PopupAnnotation(f);case"FreeText":return new FreeTextAnnotation(f);case"Line":return new LineAnnotation(f);case"Square":return new SquareAnnotation(f);case"Circle":return new CircleAnnotation(f);case"PolyLine":return new PolylineAnnotation(f);case"Polygon":return new PolygonAnnotation(f);case"Caret":return new CaretAnnotation(f);case"Ink":return new InkAnnotation\ -(f);case"Highlight":return new HighlightAnnotation(f);case"Underline":return new UnderlineAnnotation(f);case"Squiggly":return new SquigglyAnnotation(f);case"StrikeOut":return new StrikeOutAnnotation(f);case"Stamp":return new StampAnnotation(f);case"FileAttachment":return new FileAttachmentAnnotation(f);default:i||warn(d?`Unimplemented annotation type "${d}", falling back to base annotation.`:"Annotation is missing the required /Subtype.");return new Annotation(f)}}static async _getPageIndex(e,t,\ -a){try{const r=await e.fetchIfRefAsync(t);if(!(r instanceof Dict))return-1;const i=r.getRaw("P");if(i instanceof Ref)try{return await a.ensureCatalog("getPageIndex",[i])}catch(e){info(`_getPageIndex -- not a valid page reference: "${e}".`)}if(r.has("Kids"))return-1;const n=await a.ensureDoc("numPages");for(let e=0;ee/255))||t}function getQuadPoints(e,t){const a=e.getArray("QuadPoints");if(!isNumberArray(a,null)||0===a.length||a.length%8>0)return null;const r=new Float32Array(a.length);for(let e=0,i=a.length;et[2]||gt[3]))return null;r.set([d,p,f,p,d,g,f,g],e)}return r}function getTransformMatrix(e,t,a){const r=new Float32Array([1/0,1/0,-1/0,-1/0]);Util.axialAlignedBoundingBox(t,a,r);const[i,n,s,o]=r;if(i===s||n===o)return[1,0,0,1,e[0],e[1]];const c=(e[2]-e[0])/(s-i),l=(e[3]-e[1])/(o-n);return[c,0,0,l,e[0]-i*c,e[1]-n*l]}class Annotation{constructor(e){const{dict:t,xref:a,annotationGlobals:r,ref\ -:i,orphanFields:n}=e,s=n?.get(i);s&&t.set("Parent",s);this.setTitle(t.get("T"));this.setContents(t.get("Contents"));this.setModificationDate(t.get("M"));this.setFlags(t.get("F"));this.setRectangle(t.getArray("Rect"));this.setColor(t.getArray("C"));this.setBorderStyle(t);this.setAppearance(t);this.setOptionalContent(t);const o=t.get("MK");this.setBorderAndBackgroundColors(o);this.setRotation(o,t);this.ref=e.ref instanceof Ref?e.ref:null;this._streams=[];this.appearance&&this._streams.push(this.ap\ -pearance);const c=!!(this.flags&ee),l=!!(this.flags&te);this.data={annotationFlags:this.flags,borderStyle:this.borderStyle,color:this.color,backgroundColor:this.backgroundColor,borderColor:this.borderColor,rotation:this.rotation,contentsObj:this._contents,hasAppearance:!!this.appearance,id:e.id,modificationDate:this.modificationDate,rect:this.rectangle,subtype:e.subtype,hasOwnCanvas:!1,noRotate:!!(this.flags&Z),noHTML:c&&l,isEditable:!1,structParent:-1};if(r.structTreeRoot){let a=t.get("StructPa\ -rent");this.data.structParent=a=Number.isInteger(a)&&a>=0?a:-1;r.structTreeRoot.addAnnotationIdToPage(e.pageRef,a)}if(e.collectFields){const r=t.get("Kids");if(Array.isArray(r)){const e=[];for(const t of r)t instanceof Ref&&e.push(t.toString());0!==e.length&&(this.data.kidIds=e)}this.data.actions=collectActions(a,t,ye);this.data.fieldName=this._constructFieldName(t);this.data.pageIndex=e.pageIndex}const h=t.get("IT");h instanceof Name&&(this.data.it=h.name);this._isOffscreenCanvasSupported=e.eva\ -luatorOptions.isOffscreenCanvasSupported;this._fallbackFontDict=null;this._needAppearances=!1}_hasFlag(e,t){return!!(e&t)}_buildFlags(e,t){let{flags:a}=this;if(void 0===e){if(void 0===t)return;return t?a&~Y:a&~J|Y}if(e){a|=Y;return t?a&~Q|J:a&~J|Q}a&=~(J|Q);return t?a&~Y:a|Y}_isViewable(e){return!this._hasFlag(e,K)&&!this._hasFlag(e,Q)}_isPrintable(e){return this._hasFlag(e,Y)&&!this._hasFlag(e,J)&&!this._hasFlag(e,K)}mustBeViewed(e,t){const a=e?.get(this.data.id)?.noView;return void 0!==a?!a:th\ -is.viewable&&!this._hasFlag(this.flags,J)}mustBePrinted(e){const t=e?.get(this.data.id)?.noPrint;return void 0!==t?!t:this.printable}mustBeViewedWhenEditing(e,t=null){return e?!this.data.isEditable:!t?.has(this.data.id)}get viewable(){return null!==this.data.quadPoints&&(0===this.flags||this._isViewable(this.flags))}get printable(){return null!==this.data.quadPoints&&(0!==this.flags&&this._isPrintable(this.flags))}_parseStringHelper(e){const t="string"==typeof e?stringToPDFString(e):"";return{st\ -r:t,dir:t&&"rtl"===bidi(t).dir?"rtl":"ltr"}}setDefaultAppearance(e){const{dict:t,annotationGlobals:a}=e,r=getInheritableProperty({dict:t,key:"DA"})||a.acroForm.get("DA");this._defaultAppearance="string"==typeof r?r:"";this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance)}setTitle(e){this._title=this._parseStringHelper(e)}setContents(e){this._contents=this._parseStringHelper(e)}setModificationDate(e){this.modificationDate="string"==typeof e?e:null}setFlags(e){this.flags=\ -Number.isInteger(e)&&e>0?e:0;this.flags&K&&"Annotation"!==this.constructor.name&&(this.flags^=K)}hasFlag(e){return this._hasFlag(this.flags,e)}setRectangle(e){this.rectangle=lookupNormalRect(e,[0,0,0,0])}setColor(e){this.color=getRgbColor(e)}setLineEndings(e){this.lineEndings=["None","None"];if(Array.isArray(e)&&2===e.length)for(let t=0;t<2;t++){const a=e[t];if(a instanceof Name)switch(a.name){case"None":continue;case"Square":case"Circle":case"Diamond":case"OpenArrow":case"ClosedArrow":case"Butt\ -":case"ROpenArrow":case"RClosedArrow":case"Slash":this.lineEndings[t]=a.name;continue}warn(`Ignoring invalid lineEnding: ${a}`)}}setRotation(e,t){this.rotation=0;let a=e instanceof Dict?e.get("R")||0:t.get("Rotate")||0;if(Number.isInteger(a)&&0!==a){a%=360;a<0&&(a+=360);a%90==0&&(this.rotation=a)}}setBorderAndBackgroundColors(e){if(e instanceof Dict){this.borderColor=getRgbColor(e.getArray("BC"),null);this.backgroundColor=getRgbColor(e.getArray("BG"),null)}else this.borderColor=this.backgroundCo\ -lor=null}setBorderStyle(e){this.borderStyle=new AnnotationBorderStyle;if(e instanceof Dict)if(e.has("BS")){const t=e.get("BS");if(t instanceof Dict){const e=t.get("Type");if(!e||isName(e,"Border")){this.borderStyle.setWidth(t.get("W"),this.rectangle);this.borderStyle.setStyle(t.get("S"));this.borderStyle.setDashArray(t.getArray("D"))}}}else if(e.has("Border")){const t=e.getArray("Border");if(Array.isArray(t)&&t.length>=3){this.borderStyle.setHorizontalCornerRadius(t[0]);this.borderStyle.setVerti\ -calCornerRadius(t[1]);this.borderStyle.setWidth(t[2],this.rectangle);4===t.length&&this.borderStyle.setDashArray(t[3],!0)}}else this.borderStyle.setWidth(0)}setAppearance(e){this.appearance=null;const t=e.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(a instanceof BaseStream){this.appearance=a;return}if(!(a instanceof Dict))return;const r=e.get("AS");if(!(r instanceof Name&&a.has(r.name)))return;const i=a.get(r.name);i instanceof BaseStream&&(this.appearance=i)}setOptionalContent\ -(e){this.oc=null;const t=e.get("OC");t instanceof Name?warn("setOptionalContent: Support for /Name-entry is not implemented."):t instanceof Dict&&(this.oc=t)}async loadResources(e,t){const a=await t.dict.getAsync("Resources");a&&await ObjectLoader.load(a,e,a.xref);return a}async getOperatorList(e,t,a,r){const{hasOwnCanvas:i,id:n,rect:o}=this.data;let c=this.appearance;const l=!!(i&&a&s);if(l&&(0===this.width||0===this.height)){this.data.hasOwnCanvas=!1;return{opList:new OperatorList,separateForm\ -:!1,separateCanvas:!1}}if(!c){if(!l)return{opList:new OperatorList,separateForm:!1,separateCanvas:!1};c=new StringStream("");c.dict=new Dict}const h=c.dict,u=await this.loadResources(Ia,c),d=lookupRect(h.getArray("BBox"),[0,0,1,1]),f=lookupMatrix(h.getArray("Matrix"),Fa),g=getTransformMatrix(o,d,f),p=new OperatorList;let m;this.oc&&(m=await e.parseMarkedContentProps(this.oc,null));void 0!==m&&p.addOp(jt,["OC",m]);p.addOp($t,[n,o,g,f,l]);await e.getOperatorList({stream:c,task:t,resources:u,operat\ -orList:p,fallbackFontDict:this._fallbackFontDict});p.addOp(Gt,[]);void 0!==m&&p.addOp(_t,[]);this.reset();return{opList:p,separateForm:!1,separateCanvas:l}}async save(e,t,a,r){return null}get overlaysTextContent(){return!1}get hasTextContent(){return!1}async extractTextContent(e,t,a){if(!this.appearance)return;const r=await this.loadResources(Ta,this.appearance),i=[],n=[];let s=null;const o={desiredSize:Math.Infinity,ready:!0,enqueue(e,t){for(const t of e.items)if(void 0!==t.str){s||=t.transform\ -.slice(-2);n.push(t.str);if(t.hasEOL){i.push(n.join("").trimEnd());n.length=0}}}};await e.getTextContent({stream:this.appearance,task:t,resources:r,includeMarkedContent:!0,keepWhiteSpace:!0,sink:o,viewBox:a});this.reset();n.length&&i.push(n.join("").trimEnd());if(i.length>1||i[0]){const e=this.appearance.dict,t=lookupRect(e.getArray("BBox"),null),a=lookupMatrix(e.getArray("Matrix"),null);this.data.textPosition=this._transformPoint(s,t,a);this.data.textContent=i}}_transformPoint(e,t,a){const{rect\ -:r}=this.data;t||=[0,0,1,1];a||=[1,0,0,1,0,0];const i=getTransformMatrix(r,t,a);i[4]-=r[0];i[5]-=r[1];const n=e.slice();Util.applyTransform(n,i);Util.applyTransform(n,a);return n}getFieldObject(){return this.data.kidIds?{id:this.data.id,actions:this.data.actions,name:this.data.fieldName,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,type:"",kidIds:this.data.kidIds,page:this.data.pageIndex,rotation:this.rotation}:null}reset(){for(const e of this._streams)e.reset()}_construc\ -tFieldName(e){if(!e.has("T")&&!e.has("Parent")){warn("Unknown field name, falling back to empty field name.");return""}if(!e.has("Parent"))return stringToPDFString(e.get("T"));const t=[];e.has("T")&&t.unshift(stringToPDFString(e.get("T")));let a=e;const r=new RefSet;e.objId&&r.put(e.objId);for(;a.has("Parent");){a=a.get("Parent");if(!(a instanceof Dict)||a.objId&&r.has(a.objId))break;a.objId&&r.put(a.objId);a.has("T")&&t.unshift(stringToPDFString(a.get("T")))}return t.join(".")}get width(){retur\ -n this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[3]-this.data.rect[1]}}class AnnotationBorderStyle{constructor(){this.width=1;this.rawWidth=1;this.style=fe;this.dashArray=[3];this.horizontalCornerRadius=0;this.verticalCornerRadius=0}setWidth(e,t=[0,0,0,0]){if(e instanceof Name)this.width=0;else if("number"==typeof e){if(e>0){this.rawWidth=e;const a=(t[2]-t[0])/2,r=(t[3]-t[1])/2;if(a>0&&r>0&&(e>a||e>r)){warn(`AnnotationBorderStyle.setWidth - ignoring width: ${e}`);e=1}}thi\ -s.width=e}}setStyle(e){if(e instanceof Name)switch(e.name){case"S":this.style=fe;break;case"D":this.style=ge;break;case"B":this.style=pe;break;case"I":this.style=me;break;case"U":this.style=be}}setDashArray(e,t=!1){if(Array.isArray(e)){let a=!0,r=!0;for(const t of e){if(!(+t>=0)){a=!1;break}t>0&&(r=!1)}if(0===e.length||a&&!r){this.dashArray=e;t&&this.setStyle(Name.get("D"))}else this.width=0}else e&&(this.width=0)}setHorizontalCornerRadius(e){Number.isInteger(e)&&(this.horizontalCornerRadius=e)}\ -setVerticalCornerRadius(e){Number.isInteger(e)&&(this.verticalCornerRadius=e)}}class MarkupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;if(t.has("IRT")){const e=t.getRaw("IRT");this.data.inReplyTo=e instanceof Ref?e.toString():null;const a=t.get("RT");this.data.replyType=a instanceof Name?a.name:V}let a=null;if(this.data.replyType===G){const e=t.get("IRT");this.setTitle(e.get("T"));this.data.titleObj=this._title;this.setContents(e.get("Contents"));this.data.contentsObj=t\ -his._contents;if(e.has("CreationDate")){this.setCreationDate(e.get("CreationDate"));this.data.creationDate=this.creationDate}else this.data.creationDate=null;if(e.has("M")){this.setModificationDate(e.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;a=e.getRaw("Popup");if(e.has("C")){this.setColor(e.getArray("C"));this.data.color=this.color}else this.data.color=null}else{this.data.titleObj=this._title;this.setCreationDate(t.get("CreationDate"));this.\ -data.creationDate=this.creationDate;a=t.getRaw("Popup");t.has("C")||(this.data.color=null)}this.data.popupRef=a instanceof Ref?a.toString():null;t.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml(t.get("RC")))}setCreationDate(e){this.creationDate="string"==typeof e?e:null}_setDefaultAppearance({xref:e,extra:t,strokeColor:a,fillColor:r,blendMode:i,strokeAlpha:n,fillAlpha:s,pointsCallback:o}){const c=this.data.rect=[1/0,1/0,-1/0,-1/0],l=["q"];t&&l.push(t);a&&l.push(`${a[0]} ${a[1]} ${a[\ -2]} RG`);r&&l.push(`${r[0]} ${r[1]} ${r[2]} rg`);const h=this.data.quadPoints||Float32Array.from([this.rectangle[0],this.rectangle[3],this.rectangle[2],this.rectangle[3],this.rectangle[0],this.rectangle[1],this.rectangle[2],this.rectangle[1]]);for(let e=0,t=h.length;e"string"==typeof e)).map((e=>stringToPDFString(e))):e instanceof Name?stringToPDFString(e.name):"string"==typ\ -eof e?stringToPDFString(e):null}hasFieldFlag(e){return!!(this.data.fieldFlags&e)}_isViewable(e){return!0}mustBeViewed(e,t){return t?this.viewable:super.mustBeViewed(e,t)&&!this._hasFlag(this.flags,Q)}getRotationMatrix(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);return 0===t?Fa:getRotationMatrix(t,this.width,this.height)}getBorderAndBackgroundAppearances(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);if(!this.backgroundColor&&!this.borderColor)retu\ -rn"";const a=0===t||180===t?`0 0 ${this.width} ${this.height} re`:`0 0 ${this.height} ${this.width} re`;let r="";this.backgroundColor&&(r=`${getPdfColor(this.backgroundColor,!0)} ${a} f `);if(this.borderColor){r+=`${this.borderStyle.width||1} w ${getPdfColor(this.borderColor,!1)} ${a} S `}return r}async getOperatorList(e,t,a,r){if(a&l&&!(this instanceof SignatureWidgetAnnotation)&&!this.data.noHTML&&!this.data.hasOwnCanvas)return{opList:new OperatorList,separateForm:!0,separateCanvas:!1};if(!thi\ -s._hasText)return super.getOperatorList(e,t,a,r);const i=await this._getAppearance(e,t,a,r);if(this.appearance&&null===i)return super.getOperatorList(e,t,a,r);const n=new OperatorList;if(!this._defaultAppearance||null===i)return{opList:n,separateForm:!1,separateCanvas:!1};const o=!!(this.data.hasOwnCanvas&&a&s),c=[0,0,this.width,this.height],h=getTransformMatrix(this.data.rect,c,[1,0,0,1,0,0]);let u;this.oc&&(u=await e.parseMarkedContentProps(this.oc,null));void 0!==u&&n.addOp(jt,["OC",u]);n.add\ -Op($t,[this.data.id,this.data.rect,h,this.getRotationMatrix(r),o]);const d=new StringStream(i);await e.getOperatorList({stream:d,task:t,resources:this._fieldResources.mergedResources,operatorList:n});n.addOp(Gt,[]);void 0!==u&&n.addOp(_t,[]);return{opList:n,separateForm:!1,separateCanvas:o}}_getMKDict(e){const t=new Dict(null);e&&t.set("R",e);t.setIfArray("BC",getPdfColorArray(this.borderColor));t.setIfArray("BG",getPdfColorArray(this.backgroundColor));return t.size>0?t:null}amendSavedDict(e,t){\ -}setValue(e,t,a,r){const{dict:i,ref:n}=function getParentToUpdate(e,t,a){const r=new RefSet,i=e,n={dict:null,ref:null};for(;e instanceof Dict&&!r.has(t);){r.put(t);if(e.has("T"))break;if(!((t=e.getRaw("Parent"))instanceof Ref))return n;e=a.fetch(t)}if(e instanceof Dict&&e!==i){n.dict=e;n.ref=t}return n}(e,this.ref,a);if(i){if(!r.has(n)){const e=i.clone();e.set("V",t);r.put(n,{data:e});return e}}else e.set("V",t);return null}async save(e,t,a,r){const i=a?.get(this.data.id),n=this._buildFlags(i?.n\ -oView,i?.noPrint);let s=i?.value,o=i?.rotation;if(s===this.data.fieldValue||void 0===s){if(!this._hasValueFromXFA&&void 0===o&&void 0===n)return;s||=this.data.fieldValue}if(void 0===o&&!this._hasValueFromXFA&&Array.isArray(s)&&Array.isArray(this.data.fieldValue)&&isArrayEqual(s,this.data.fieldValue)&&void 0===n)return;void 0===o&&(o=this.rotation);let l=null;if(!this._needAppearances){l=await this._getAppearance(e,t,c,a);if(null===l&&void 0===n)return}let h=!1;if(l?.needAppearances){h=!0;l=null}\ -const{xref:u}=e,d=u.fetchIfRef(this.ref);if(!(d instanceof Dict))return;const f=new Dict(u);for(const e of d.getKeys())"AP"!==e&&f.set(e,d.getRaw(e));if(void 0!==n){f.set("F",n);if(null===l&&!h){const e=d.getRaw("AP");e&&f.set("AP",e)}}const g={path:this.data.fieldName,value:s},p=this.setValue(f,Array.isArray(s)?s.map(stringToAsciiOrUTF16BE):stringToAsciiOrUTF16BE(s),u,r);this.amendSavedDict(a,p||f);const m=this._getMKDict(o);m&&f.set("MK",m);r.put(this.ref,{data:f,xfa:g,needAppearances:h});if(n\ -ull!==l){const e=u.getNewTemporaryRef(),t=new Dict(u);f.set("AP",t);t.set("N",e);const i=this._getSaveFieldResources(u),n=new StringStream(l),s=n.dict=new Dict(u);s.setIfName("Subtype","Form");s.set("Resources",i);const c=o%180==0?[0,0,this.width,this.height]:[0,0,this.height,this.width];s.set("BBox",c);const h=this.getRotationMatrix(a);h!==Fa&&s.set("Matrix",h);r.put(e,{data:n,xfa:null,needAppearances:!1})}f.set("M",`D:${getModificationDate()}`)}async _getAppearance(e,t,a,r){if(this.data.passwo\ -rd)return null;const n=r?.get(this.data.id);let s,o;if(n){s=n.formattedValue||n.value;o=n.rotation}if(void 0===o&&void 0===s&&!this._needAppearances&&(!this._hasValueFromXFA||this.appearance))return null;const l=this.getBorderAndBackgroundAppearances(r);if(void 0===s){s=this.data.fieldValue;if(!s)return`/Tx BMC q ${l}Q EMC`}Array.isArray(s)&&1===s.length&&(s=s[0]);assert("string"==typeof s,"Expected `value` to be a string.");s=s.trimEnd();if(this.data.combo){const e=this.data.options.find((({exp\ -ortValue:e})=>s===e));s=e?.displayValue||s}if(""===s)return`/Tx BMC q ${l}Q EMC`;void 0===o&&(o=this.rotation);let h,u=-1;if(this.data.multiLine){h=s.split(/\\r\\n?|\\n/).map((e=>e.normalize("NFC")));u=h.length}else h=[s.replace(/\\r\\n?|\\n/,"").normalize("NFC")];let{width:d,height:f}=this;90!==o&&270!==o||([d,f]=[f,d]);this._defaultAppearance||(this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0 g"));let g,p,m,b=await WidgetAnnotation._getFontData(e,t,th\ -is.data.defaultAppearanceData,this._fieldResources.mergedResources);const y=[];let w=!1;for(const e of h){const t=b.encodeString(e);t.length>1&&(w=!0);y.push(t.join(""))}if(w&&a&c)return{needAppearances:!0};if(w&&this._isOffscreenCanvasSupported){const a=this.data.comb?"monospace":"sans-serif",r=new FakeUnicodeFont(e.xref,a),i=r.createFontResources(h.join("")),n=i.getRaw("Font");if(this._fieldResources.mergedResources.has("Font")){const e=this._fieldResources.mergedResources.get("Font");for(cons\ -t t of n.getKeys())e.set(t,n.getRaw(t))}else this._fieldResources.mergedResources.set("Font",n);const o=r.fontName.name;b=await WidgetAnnotation._getFontData(e,t,{fontName:o,fontSize:0},i);for(let e=0,t=y.length;e2)return`/Tx BMC q ${l\ -}BT `+g+` 1 0 0 1 ${numberToString(2)} ${numberToString(C)} Tm (${escapeString(y[0])}) Tj ET Q EMC`;return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 0 0 Tm ${this._renderText(y[0],b,p,d,k,{shift:0},2,C)} ET Q EMC`}static async _getFontData(e,t,a,r){const i=new OperatorList,n={font:null,clone(){return this}},{fontName:s,fontSize:o}=a;await e.handleSetFont(r,[s&&Name.get(s),o],null,i,t,n,null);return n.font}_getTextWidth(e,t){return Math.sumPrecise(t.charsToGlyphs(e).map((e=>e.width)))/1e3}_computeFontSize(e\ -,t,r,i,n){let{fontSize:s}=this.data.defaultAppearanceData,o=(s||12)*a,c=Math.round(e/o);if(!s){const roundWithTwoDigits=e=>Math.floor(100*e)/100;if(-1===n){const n=this._getTextWidth(r,i);s=roundWithTwoDigits(Math.min(e/a,t/n));c=1}else{const l=r.split(/\\r\\n?|\\n/),h=[];for(const e of l){const t=i.encodeString(e).join(""),a=i.charsToGlyphs(t),r=i.getCharPositions(t);h.push({line:t,glyphs:a,positions:r})}const isTooBig=a=>{let r=0;for(const n of h){r+=this._splitLine(null,i,a,t,n).length*a;if(r>e)\ -return!0}return!1};c=Math.max(c,n);for(;;){o=e/c;s=roundWithTwoDigits(o/a);if(!isTooBig(s))break;c++}}const{fontName:l,fontColor:h}=this.data.defaultAppearanceData;this._defaultAppearance=function createDefaultAppearance({fontSize:e,fontName:t,fontColor:a}){return`/${escapePDFName(t)} ${e} Tf ${getPdfColor(a,!0)}`}({fontSize:s,fontName:l,fontColor:h})}return[this._defaultAppearance,s,e/c]}_renderText(e,t,a,r,i,n,s,o){let c;if(1===i){c=(r-this._getTextWidth(e,t)*a)/2}else if(2===i){c=r-this._getT\ -extWidth(e,t)*a-s}else c=s;const l=numberToString(c-n.shift);n.shift=c;return`${l} ${o=numberToString(o)} Td (${escapeString(e)}) Tj`}_getSaveFieldResources(e){const{localResources:t,appearanceResources:a,acroFormResources:r}=this._fieldResources,i=this.data.defaultAppearanceData?.fontName;if(!i)return t||Dict.empty;for(const e of[t,a])if(e instanceof Dict){const t=e.get("Font");if(t instanceof Dict&&t.has(i))return e}if(r instanceof Dict){const a=r.get("Font");if(a instanceof Dict&&a.has(i)){co\ -nst r=new Dict(e);r.set(i,a.getRaw(i));const n=new Dict(e);n.set("Font",r);return Dict.merge({xref:e,dictArray:[n,t],mergeSubDicts:!0})}}return t||Dict.empty}getFieldObject(){return null}}class TextWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t}=e;if(t.has("PMD")){this.flags|=J;this.data.hidden=!0;warn("Barcodes are not supported")}this.data.hasOwnCanvas=this.data.readOnly&&!this.data.noHTML;this._hasText=!0;"string"!=typeof this.data.fieldValue&&(this.data.fieldV\ -alue="");let a=getInheritableProperty({dict:t,key:"Q"});(!Number.isInteger(a)||a<0||a>2)&&(a=null);this.data.textAlignment=a;let r=getInheritableProperty({dict:t,key:"MaxLen"});(!Number.isInteger(r)||r<0)&&(r=0);this.data.maxLen=r;this.data.multiLine=this.hasFieldFlag(ie);this.data.comb=this.hasFieldFlag(de)&&!this.data.multiLine&&!this.data.password&&!this.hasFieldFlag(le)&&0!==this.data.maxLen;this.data.doNotScroll=this.hasFieldFlag(ue);const{data:{actions:i}}=this;if(!i)return;const n=/^AF(Da\ -te|Time)_(?:Keystroke|Format)(?:Ex)?\\([\'"]?([^\'"]+)[\'"]?\\);$/;let s=!1;(1===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Format[0])&&n.test(i.Keystroke[0])||0===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Keystroke[0])||0===i.Keystroke?.length&&1===i.Format?.length&&n.test(i.Format[0]))&&(s=!0);const o=[];i.Format&&o.push(...i.Format);i.Keystroke&&o.push(...i.Keystroke);if(s){delete i.Keystroke;i.Format=o}for(const e of o){const t=e.match(n);if(!t)continue;const a="Date"===t[1];le\ -t r=t[2];const i=parseInt(r,10);isNaN(i)||Math.floor(Math.log10(i))+1!==t[2].length||(r=(a?Pn:Ln)[i]??r);this.data.datetimeFormat=r;if(!s)break;if(a){if(/HH|MM|ss|h/.test(r)){this.data.datetimeType="datetime-local";this.data.timeStep=/ss/.test(r)?1:60}else this.data.datetimeType="date";break}this.data.datetimeType="time";this.data.timeStep=/ss/.test(r)?1:60;break}}get hasTextContent(){return!!this.appearance&&!this._needAppearances}_getCombAppearance(e,t,a,r,i,n,s,o,c,l,h){const u=i/this.data.ma\ -xLen,d=this.getBorderAndBackgroundAppearances(h),f=[],g=t.getCharPositions(a);for(const[e,t]of g)f.push(`(${escapeString(a.substring(e,t))}) Tj`);const p=f.join(` ${numberToString(u)} 0 Td `);return`/Tx BMC q ${d}BT `+e+` 1 0 0 1 ${numberToString(s)} ${numberToString(o+c)} Tm ${p} ET Q EMC`}_getMultilineAppearance(e,t,a,r,i,n,s,o,c,l,h,u){const d=[],f=i-2*o,g={shift:0};for(let e=0,n=t.length;er){c.push(e.substring(\ -d,a));d=a;f=p;l=-1;u=-1}else{f+=p;l=a;h=i;u=t}else if(f+p>r)if(-1!==l){c.push(e.substring(d,h));d=h;t=u+1;l=-1;f=0}else{c.push(e.substring(d,a));d=a;f=p}else f+=p}dt?`\\\\${t}`:"\\\\s+"));new RegExp(`^\\\\s*${n}\\\\s*$`).test(th\ -is.data.fieldValue)&&(this.data.textContent=this.data.fieldValue.split("\\n"))}getFieldObject(){return{id:this.data.id,value:this.data.fieldValue,defaultValue:this.data.defaultFieldValue||"",multiline:this.data.multiLine,password:this.data.password,charLimit:this.data.maxLen,comb:this.data.comb,editable:!this.data.readOnly,hidden:this.data.hidden,name:this.data.fieldName,rect:this.data.rect,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.ba\ -ckgroundColor,rotation:this.rotation,datetimeFormat:this.data.datetimeFormat,hasDatetimeHTML:!!this.data.datetimeType,type:"text"}}}class ButtonWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.checkedAppearance=null;this.uncheckedAppearance=null;const t=this.hasFieldFlag(se),a=this.hasFieldFlag(oe);this.data.checkBox=!t&&!a;this.data.radioButton=t&&!a;this.data.pushButton=a;this.data.isTooltipOnly=!1;if(this.data.checkBox)this._processCheckBox(e);else if(this.data.radioButt\ -on)this._processRadioButton(e);else if(this.data.pushButton){this.data.hasOwnCanvas=!0;this.data.noHTML=!1;this._processPushButton(e)}else warn("Invalid field flags for button widget annotation")}async getOperatorList(e,t,a,r){if(this.data.pushButton)return super.getOperatorList(e,t,a,!1,r);let i=null,n=null;if(r){const e=r.get(this.data.id);i=e?e.value:null;n=e?e.rotation:null}if(null===i&&this.appearance)return super.getOperatorList(e,t,a,r);null==i&&(i=this.data.checkBox?this.data.fieldValue=\ -==this.data.exportValue:this.data.fieldValue===this.data.buttonValue);const s=i?this.checkedAppearance:this.uncheckedAppearance;if(s){const i=this.appearance,o=lookupMatrix(s.dict.getArray("Matrix"),Fa);n&&s.dict.set("Matrix",this.getRotationMatrix(r));this.appearance=s;const c=super.getOperatorList(e,t,a,r);this.appearance=i;s.dict.set("Matrix",o);return c}return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}async save(e,t,a,r){this.data.checkBox?this._saveCheckbox(e,t,a,r):this.da\ -ta.radioButton&&this._saveRadioButton(e,t,a,r)}async _saveCheckbox(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.exportValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===s&&(s=this.rotation);void 0===o&&(o=this.data.fieldValue===this.data.exportValue);const l={path:this.data.fieldName,valu\ -e:o?this.data.exportValue:""},h=Name.get(o?this.data.exportValue:"Off");this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}async _saveRadioButton(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.\ -buttonValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===o&&(o=this.data.fieldValue===this.data.buttonValue);void 0===s&&(s=this.rotation);const l={path:this.data.fieldName,value:o?this.data.buttonValue:""},h=Name.get(o?this.data.buttonValue:"Off");o&&this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:\ -!1})}_getDefaultCheckedAppearance(e,t){const{width:a,height:r}=this,i=[0,0,a,r],n=.8*Math.min(a,r);let s,o;if("check"===t){s={width:.755*n,height:.705*n};o="3"}else if("disc"===t){s={width:.791*n,height:.705*n};o="l"}else unreachable(`_getDefaultCheckedAppearance - unsupported type: ${t}`);const c=`q BT /PdfJsZaDb ${n} Tf 0 g ${numberToString((a-s.width)/2)} ${numberToString((r-s.height)/2)} Td (${o}) Tj ET Q`,l=new Dict(e.xref);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type\ -","XObject");l.set("BBox",i);l.set("Matrix",[1,0,0,1,0,0]);l.set("Length",c.length);const h=new Dict(e.xref),u=new Dict(e.xref);u.set("PdfJsZaDb",this.fallbackFontDict);h.set("Font",u);l.set("Resources",h);this.checkedAppearance=new StringStream(c);this.checkedAppearance.dict=l;this._streams.push(this.checkedAppearance)}_processCheckBox(e){const t=e.dict.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(!(a instanceof Dict))return;const r=this._decodeFormValue(e.dict.get("AS"));"str\ -ing"==typeof r&&(this.data.fieldValue=r);const i=null!==this.data.fieldValue&&"Off"!==this.data.fieldValue?this.data.fieldValue:"Yes",n=this._decodeFormValue(a.getKeys());if(0===n.length)n.push("Off",i);else if(1===n.length)"Off"===n[0]?n.push(i):n.unshift("Off");else if(n.includes(i)){n.length=0;n.push("Off",i)}else{const e=n.find((e=>"Off"!==e));n.length=0;n.push("Off",e)}n.includes(this.data.fieldValue)||(this.data.fieldValue="Off");this.data.exportValue=n[1];const s=a.get(this.data.exportVal\ -ue);this.checkedAppearance=s instanceof BaseStream?s:null;const o=a.get("Off");this.uncheckedAppearance=o instanceof BaseStream?o:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"check");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processRadioButton(e){this.data.buttonValue=null;const t=e.dict.g\ -et("Parent");if(t instanceof Dict){this.parent=e.dict.getRaw("Parent");const a=t.get("V");a instanceof Name&&(this.data.fieldValue=this._decodeFormValue(a))}const a=e.dict.get("AP");if(!(a instanceof Dict))return;const r=a.get("N");if(!(r instanceof Dict))return;for(const e of r.getKeys())if("Off"!==e){this.data.buttonValue=this._decodeFormValue(e);break}const i=r.get(this.data.buttonValue);this.checkedAppearance=i instanceof BaseStream?i:null;const n=r.get("Off");this.uncheckedAppearance=n inst\ -anceof BaseStream?n:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"disc");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processPushButton(e){const{dict:t,annotationGlobals:a}=e;if(t.has("A")||t.has("AA")||this.data.alternativeText){this.data.isTooltipOnly=!t.has("A")&&!t.has("AA");Catalog.parseD\ -estDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAttachments:a.attachments})}else warn("Push buttons without action dictionaries are not supported")}getFieldObject(){let e,t="button";if(this.data.checkBox){t="checkbox";e=this.data.exportValue}else if(this.data.radioButton){t="radiobutton";e=this.data.buttonValue}return{id:this.data.id,value:this.data.fieldValue||"Off",defaultValue:this.data.defaultFieldValue,exportValues:e,editable:!this.data.readOnly,name:this.data.fieldNam\ -e,rect:this.data.rect,hidden:this.data.hidden,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:t}}get fallbackFontDict(){const e=new Dict;e.setIfName("BaseFont","ZapfDingbats");e.setIfName("Type","FallbackType");e.setIfName("Subtype","FallbackType");e.setIfName("Encoding","ZapfDingbatsEncoding");return shadow(this,"fallbackFontDict",e)}}class ChoiceWidgetAnnotation extends WidgetAnnotation{constru\ -ctor(e){super(e);const{dict:t,xref:a}=e;this.indices=t.getArray("I");this.hasIndices=Array.isArray(this.indices)&&this.indices.length>0;this.data.options=[];const r=getInheritableProperty({dict:t,key:"Opt"});if(Array.isArray(r))for(let e=0,t=r.length;e=0&&t0&&(this.data.options=this.data.fieldValue.map((e=>({exportValue:e,displayValue:e}))));this.data.combo=this.hasFieldFlag(ce);this.data.multiSelect=this.hasFieldFlag(he);this._hasText=!0}g\ -etFieldObject(){const e=this.data.combo?"combobox":"listbox",t=this.data.fieldValue.length>0?this.data.fieldValue[0]:null;return{id:this.data.id,value:t,defaultValue:this.data.defaultFieldValue,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,numItems:this.data.fieldValue.length,multipleSelection:this.data.multiSelect,hidden:this.data.hidden,actions:this.data.actions,items:this.data.options,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.ba\ -ckgroundColor,rotation:this.rotation,type:e}}amendSavedDict(e,t){if(!this.hasIndices)return;let a=e?.get(this.data.id)?.value;Array.isArray(a)||(a=[a]);const r=[],{options:i}=this.data;for(let e=0,t=0,n=i.length;ea){a=r;t=e}}[f,g]=this._computeFontSize(e,c-4,t,d,-1)}const p=g*a,m=(p-g)/2,b=Math.floor(l/p);let y=0;if(u.length>0){const e=Math.min(...u),t=Math.max(...u);y=Math.max(0,t-b+1);y>e&&(y=e)}const w=Math.min(y+b+1,h),x=["/Tx BMC q",`1 1 ${c} ${l} re W n`];if(u.length){x.push("0.600006 0.756866 0.854904 rg");for(const e of \ -u)y<=e&&ee.trimEnd()));const{coords:e,bbox:t,matrix:r}=FakeUnicodeFont.getFirstPositionInfo(this.rectangle,this.rotation,a);this.data.textPosition=this._transformPoint(e,t,r)}if(this._isOffscreenCanvasSupported){const i=e.dict.get("CA"),n=new FakeUnicodeFont(r,"sans-serif");this.appearance=n.createAppearance(this._contents.str,this.rectangle,this.rotation,a,t,i);this._streams.push(this.appear\ -ance)}else warn("FreeTextAnnotation: OffscreenCanvas is not supported, annotation may not render correctly.")}}get hasTextContent(){return this._hasAppearance}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,fontSize:s,oldAnnotation:o,rect:c,rotation:l,user:h,value:u}=e,d=o||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("FreeText"));d.set(o?"M":"CreationDate",`D:${getModificationDate(n)}`);o&&d.delete("RC");d.setIfArray("Rect",c);const f=\ -`/Helv ${s} Tf ${getPdfColor(i,!0)}`;d.set("DA",f);d.setIfDefined("Contents",stringToAsciiOrUTF16BE(u));d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,r){const{baseFontRef:i,evaluator:n,task:s}=r,{color:o,fontSize:c,rect:l,rotation:h,value:u}=e;if(!o)return null;const d=new Dict(t),f=new Dict(t);if(i)f.s\ -et("Helv",i);else{const e=new Dict(t);e.setIfName("BaseFont","Helvetica");e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");f.set("Helv",e)}d.set("Font",f);const g=await WidgetAnnotation._getFontData(n,s,{fontName:"Helv",fontSize:c},d),[p,m,b,y]=l;let w=b-p,x=y-m;h%180!=0&&([w,x]=[x,w]);const S=u.split("\\n"),k=c/1e3;let C=-1/0;const v=[];for(let e of S){const t=g.encodeString(e);if(t.length>1)return null;e=t.join("");v.push(e);let a=0;const r=g.c\ -harsToGlyphs(e);for(const e of r)a+=e.width*k;C=Math.max(C,a)}let F=1;C>w&&(F=w/C);let T=1;const O=a*c,M=1*c,D=O*S.length;D>x&&(T=x/D);const R=c*Math.min(F,T);let N,E,L;switch(h){case 0:L=[1,0,0,1];E=[l[0],l[1],w,x];N=[l[0],l[3]-M];break;case 90:L=[0,1,-1,0];E=[l[1],-l[2],w,x];N=[l[1],-l[0]-M];break;case 180:L=[-1,0,0,-1];E=[-l[2],-l[3],w,x];N=[-l[2],-l[1]-M];break;case 270:L=[0,-1,1,0];E=[-l[3],l[0],w,x];N=[-l[3],l[2]-M]}const j=["q",`${L.join(" ")} 0 0 cm`,`${E.join(" ")} re W n`,"BT",`${getPd\ -fColor(o,!0)}`,`0 Tc /Helv ${numberToString(R)} Tf`];j.push(`${N.join(" ")} Td (${escapeString(v[0])}) Tj`);const _=numberToString(O);for(let e=1,t=v.length;e{e.push(`${r[0]} ${r[1]} m`,`${r[2]} ${r[3]} l`,"S");return[t[0]-o,t[7]-o,t[2]+o,t[3]+o]}})}}}class SquareAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:\ -a}=e;this.data.annotationType=D;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[4]+this.borderStyle.width/2,r=t[5]+this.borderStyle.width/2,n=t\ -[6]-t[4]-this.borderStyle.width,s=t[3]-t[7]-this.borderStyle.width;e.push(`${a} ${r} ${n} ${s} re`);i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class CircleAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=R;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;const s=4/3*Math.tan(Math.PI/8);\ -this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[0]+this.borderStyle.width/2,r=t[1]-this.borderStyle.width/2,n=t[6]-this.borderStyle.width/2,o=t[7]+this.borderStyle.width/2,c=a+(n-a)/2,l=r+(o-r)/2,h=(n-a)/2*s,u=(o-r)/2*s;e.push(`${c} ${o} m`,`${c+h} ${o} ${n} ${l+u} ${n} ${l} c`,`${n} ${l-u} ${c+h} ${r} ${c} ${r} c`,`${c-h} ${r} ${a} ${l-u} ${a} ${l} c`,`${a} ${l+u} ${c-h} ${o} ${c} ${o} c`\ -,"h");i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class PolylineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=E;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;this.data.vertices=null;if(!(this instanceof PolygonAnnotation)){this.setLineEndings(t.getArray("LE"));this.data.lineEndings=this.lineEndings}const r=t.getArray("Vertices");if(!isNumberArray(r,null))return;const i=this.data.vertices=Float32Array.fro\ -m(r);if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");let n,s=getRgbColor(t.getArray("IC"),null);s&&(s=getPdfColorArray(s));n=s?this.color?s.every(((t,a)=>t===e[a]))?"f":"B":"f":"S";const o=this.borderStyle.width||1,c=2*o,l=[1/0,1/0,-1/0,-1/0];for(let e=0,t=i.length;e{for(let t=0,a=i.length;t{for(const t of this.data.inkLists){for(let a=0,r=t.length;a0){const e=new Dict(t);g.set("BS",e);e.set("W",d)}g.setIfArray("C",getPdfColorArray(n));g.setIfNumber("CA",o);if(r||a){const e=new Dict(t);g.set("AP",e);e.set("N",a||r)}return g}static async createNewAppearanceStream(e,t,a){if(e.outlines)return this.createNewAppearanceStreamForHighlight(e,t,a);const{color:r,rect:i,paths:n,thickness:s,opacity:o}=e;if(!r)return null;const c=[`${s} w 1 J 1 j`,`${getPdfColor(r,!1)}`];1\ -!==o&&c.push("/R0 gs");for(const e of n.lines){c.push(`${numberToString(e[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t{e.push(`${t[0]} ${t[1]} m`,`${t[2]} ${t[3]} l`,`${t[6]} ${t[7]} l`,`${t[4]} ${t[5]} l`,"f");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,oldAnnotation:s,opacity:o,rect:c,rot\ -ation:l,user:h,quadPoints:u}=e,d=s||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("Highlight"));d.set(s?"M":"CreationDate",`D:${getModificationDate(n)}`);d.setIfArray("Rect",c);d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfArray("QuadPoints",u);d.setIfArray("C",getPdfColorArray(i));d.setIfNumber("CA",o);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)\ -}return d}static async createNewAppearanceStream(e,t,a){const{color:r,rect:i,outlines:n,opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"],c=[];for(const e of n){c.length=0;c.push(`${numberToString(e[0])} ${numberToString(e[1])} m`);for(let t=2,a=e.length;t{e.push(`${t[4]} ${t[5]+1.3} m`,`${t[6]} ${t[7]+1.3} l`,"S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class SquigglyAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=_;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearanc\ -e){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{const a=(t[1]-t[5])/6;let r=a,i=t[4];const n=t[5],s=t[6];e.push(`${i} ${n+r} m`);do{i+=2;r=0===r?a:0;e.push(`${i} ${n+r} l`)}while(i{e.push((t[0]+t[4])/2+" "+(t[1]+t[5])/2+" m",(t[2]+t[6])/2+" "+(t[3]+t[7])/2+" l","S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class StampAnnotation extends MarkupAnnotation{#p\ -e=null;constructor(e){super(e);this.data.annotationType=X;this.data.hasOwnCanvas=this.data.noRotate;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1}mustBeViewedWhenEditing(e,t=null){if(e){if(!this.data.isEditable)return!0;this.#pe??=this.data.hasOwnCanvas;this.data.hasOwnCanvas=!0;return!0}if(null!==this.#pe){this.data.hasOwnCanvas=this.#pe;this.#pe=null}return!t?.has(this.data.id)}static async createImage(e,t){const{width:a,height:r}=e,i=new OffscreenCanvas(a,r),n=i.getContext("2d",{\ -alpha:!0});n.drawImage(e,0,0);const s=n.getImageData(0,0,a,r).data,o=new Uint32Array(s.buffer),c=o.some(FeatureTest.isLittleEndian?e=>e>>>24!=255:e=>!!(255&~e));if(c){n.fillStyle="white";n.fillRect(0,0,a,r);n.drawImage(e,0,0)}const l=i.convertToBlob({type:"image/jpeg",quality:1}).then((e=>e.arrayBuffer())),h=Name.get("XObject"),u=Name.get("Image"),d=new Dict(t);d.set("Type",h);d.set("Subtype",u);d.set("BitsPerComponent",8);d.setIfName("ColorSpace","DeviceRGB");d.setIfName("Filter","DCTDecode");d\ -.set("BBox",[0,0,a,r]);d.set("Width",a);d.set("Height",r);let f=null;if(c){const e=new Uint8Array(o.length);if(FeatureTest.isLittleEndian)for(let t=0,a=o.length;t>>24;else for(let t=0,a=o.length;t=0&&n<=1?n:null}}const pc={get r(){return shadow(this,"r",new Uint8Array([7,12,17,22,7,12,17,22,7,12,17,22,7,12,17,22,5,9,14,20,5,9,14,20,5,9,14,20,5,9,14,20,4,11,16,23,4,11,16,23,4,11,16,23,4,11,16,23,6,10,15,21,6,10,15,21,6,10,15,21,6,10,15,21]))},get k(){return shadow(this,"k",new Int32Array([-680876936,-389564586,606105819,-1044525330,-176418897,1200080426,-1473231341,\ --45705983,1770035416,-1958414417,-42063,-1990404162,1804603682,-40341101,-1502002290,1236535329,-165796510,-1069501632,643717713,-373897302,-701558691,38016083,-660478335,-405537848,568446438,-1019803690,-187363961,1163531501,-1444681467,-51403784,1735328473,-1926607734,-378558,-2022574463,1839030562,-35309556,-1530992060,1272893353,-155497632,-1094730640,681279174,-358537222,-722521979,76029189,-640364487,-421815835,530742520,-995338651,-198630844,1126891415,-1416354905,-57434055,1700485571,-18\ -94986606,-1051523,-2054922799,1873313359,-30611744,-1560198380,1309151649,-145523070,-1120210379,718787259,-343485551]))}};function calculateMD5(e,t,a){let r=1732584193,i=-271733879,n=-1732584194,s=271733878;const o=a+72&-64,c=new Uint8Array(o);let l,h;for(l=0;l>5&255;c[l++]=a>>13&255;c[l++]=a>>21&255;c[l++]=a>>>29&255;l+=3;const d=new Int32Array(16),{k:f,r:g}=pc;for(l=0;l>>32-n)|0;a=r}r=r+a|0;i=i+o|0;n=n+u|0;s=s+p|0}return new Uint8Array([255&r,r>>8&255,r>>16&255,r>>>24&255,255&i,i>>8&255,i>>16&255,i>>>24&255,255&n,n>>8&255,n>>16&255,n>>>24&255,255&s,s>>8&255,s>>16&255,s>>>24&255])}function decodeString(e){try{return stringToUTF8\ -String(e)}catch(t){warn(`UTF-8 decoding failed: "${t}".`);return e}}class DatasetXMLParser extends SimpleXMLParser{constructor(e){super(e);this.node=null}onEndElement(e){const t=super.onEndElement(e);if(t&&"xfa:datasets"===e){this.node=t;throw new Error("Aborting DatasetXMLParser.")}}}class DatasetReader{constructor(e){if(e.datasets)this.node=new SimpleXMLParser({hasAttributes:!0}).parseFromString(e.datasets).documentElement;else{const t=new DatasetXMLParser({hasAttributes:!0});try{t.parseFromSt\ -ring(e["xdp:xdp"])}catch{}this.node=t.node}}getValue(e){if(!this.node||!e)return"";const t=this.node.searchNode(parseXFAPath(e),0);if(!t)return"";const a=t.firstChild;return"value"===a?.nodeName?t.children.map((e=>decodeString(e.textContent))):decodeString(t.textContent)}}class SingleIntersector{#be;#ye=1/0;#we=1/0;#xe=-1/0;#Se=-1/0;#Ae=null;#ke=[];#Ce=[];#ve=-1;#Fe=!1;constructor(e){this.#be=e;const t=e.data.quadPoints;if(t){for(let e=0,a=t.length;e8&&(this.#Ae=t)}else[this.#ye,this.#we,this.#xe,this.#Se]=e.data.rect}overlaps(e){return!(this.#ye>=e.#xe||this.#xe<=e.#ye||this.#we>=e.#Se||this.#Se<=e.#we)}#Ie(e,t){if(this.#ye>=e||this.#xe<=e||this.#we>=t||this.#Se<=t)return!1;const a=this.#Ae;if(!a)return!0;if(this.#ve>=0){const r=this.#ve;if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t))return!0;this.#ve=-1}for(let r=0,i=a.length;r=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t)){this.#ve=r;return!0}return!1}addGlyph(e,t,a){if(!this.#Ie(e,t)){this.disableExtraChars();return!1}if(this.#Ce.length>0){this.#ke.push(this.#Ce.join(""));this.#Ce.length=0}this.#ke.push(a);this.#Fe=!0;return!0}addExtraChar(e){this.#Fe&&this.#Ce.push(e)}disableExtraChars(){if(this.#Fe){this.#Fe=!1;this.#Ce.length=0}}setText(){this.#be.data.overlaidText=this.#ke.join("")}}class Intersector{#Te=new Map;constructor(e){for(const t of e){if(!t.data.q\ -uadPoints&&!t.data.rect)continue;const e=new SingleIntersector(t);for(const[t,a]of this.#Te)t.overlaps(e)&&(a?a.add(e):this.#Te.set(t,new Set([e])));this.#Te.set(e,null)}}addGlyph(e,t,a,r){const i=e[4]+t/2,n=e[5]+a/2;let s;for(const[e,t]of this.#Te)s?s.has(e)?e.addGlyph(i,n,r):e.disableExtraChars():e.addGlyph(i,n,r)&&(s=t)}addExtraChar(e){for(const t of this.#Te.keys())t.addExtraChar(e)}setText(){for(const e of this.#Te.keys())e.setText()}}class Word64{constructor(e,t){this.high=0|e;this.low=0|t\ -}and(e){this.high&=e.high;this.low&=e.low}xor(e){this.high^=e.high;this.low^=e.low}shiftRight(e){if(e>=32){this.low=this.high>>>e-32|0;this.high=0}else{this.low=this.low>>>e|this.high<<32-e;this.high=this.high>>>e|0}}rotateRight(e){let t,a;if(32&e){a=this.low;t=this.high}else{t=this.low;a=this.high}e&=31;this.low=t>>>e|a<<32-e;this.high=a>>>e|t<<32-e}not(){this.high=~this.high;this.low=~this.low}add(e){const t=(this.low>>>0)+(e.low>>>0);let a=(this.high>>>0)+(e.high>>>0);t>4294967295&&(a+=1);thi\ -s.low=0|t;this.high=0|a}copyTo(e,t){e[t]=this.high>>>24&255;e[t+1]=this.high>>16&255;e[t+2]=this.high>>8&255;e[t+3]=255&this.high;e[t+4]=this.low>>>24&255;e[t+5]=this.low>>16&255;e[t+6]=this.low>>8&255;e[t+7]=255&this.low}assign(e){this.high=e.high;this.low=e.low}}const mc={get k(){return shadow(this,"k",[new Word64(1116352408,3609767458),new Word64(1899447441,602891725),new Word64(3049323471,3964484399),new Word64(3921009573,2173295548),new Word64(961987163,4081628472),new Word64(1508970993,305\ -3834265),new Word64(2453635748,2937671579),new Word64(2870763221,3664609560),new Word64(3624381080,2734883394),new Word64(310598401,1164996542),new Word64(607225278,1323610764),new Word64(1426881987,3590304994),new Word64(1925078388,4068182383),new Word64(2162078206,991336113),new Word64(2614888103,633803317),new Word64(3248222580,3479774868),new Word64(3835390401,2666613458),new Word64(4022224774,944711139),new Word64(264347078,2341262773),new Word64(604807628,2007800933),new Word64(770255983,1\ -495990901),new Word64(1249150122,1856431235),new Word64(1555081692,3175218132),new Word64(1996064986,2198950837),new Word64(2554220882,3999719339),new Word64(2821834349,766784016),new Word64(2952996808,2566594879),new Word64(3210313671,3203337956),new Word64(3336571891,1034457026),new Word64(3584528711,2466948901),new Word64(113926993,3758326383),new Word64(338241895,168717936),new Word64(666307205,1188179964),new Word64(773529912,1546045734),new Word64(1294757372,1522805485),new Word64(13961822\ -91,2643833823),new Word64(1695183700,2343527390),new Word64(1986661051,1014477480),new Word64(2177026350,1206759142),new Word64(2456956037,344077627),new Word64(2730485921,1290863460),new Word64(2820302411,3158454273),new Word64(3259730800,3505952657),new Word64(3345764771,106217008),new Word64(3516065817,3606008344),new Word64(3600352804,1432725776),new Word64(4094571909,1467031594),new Word64(275423344,851169720),new Word64(430227734,3100823752),new Word64(506948616,1363258195),new Word64(6590\ -60556,3750685593),new Word64(883997877,3785050280),new Word64(958139571,3318307427),new Word64(1322822218,3812723403),new Word64(1537002063,2003034995),new Word64(1747873779,3602036899),new Word64(1955562222,1575990012),new Word64(2024104815,1125592928),new Word64(2227730452,2716904306),new Word64(2361852424,442776044),new Word64(2428436474,593698344),new Word64(2756734187,3733110249),new Word64(3204031479,2999351573),new Word64(3329325298,3815920427),new Word64(3391569614,3928383900),new Word64\ -(3515267271,566280711),new Word64(3940187606,3454069534),new Word64(4118630271,4000239992),new Word64(116418474,1914138554),new Word64(174292421,2731055270),new Word64(289380356,3203993006),new Word64(460393269,320620315),new Word64(685471733,587496836),new Word64(852142971,1086792851),new Word64(1017036298,365543100),new Word64(1126000580,2618297676),new Word64(1288033470,3409855158),new Word64(1501505948,4234509866),new Word64(1607167915,987167468),new Word64(1816402316,1246189591)])}};functio\ -n ch(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.not();i.and(r);e.xor(i)}function maj(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.and(r);e.xor(i);i.assign(a);i.and(r);e.xor(i)}function sigma(e,t,a){e.assign(t);e.rotateRight(28);a.assign(t);a.rotateRight(34);e.xor(a);a.assign(t);a.rotateRight(39);e.xor(a)}function sigmaPrime(e,t,a){e.assign(t);e.rotateRight(14);a.assign(t);a.rotateRight(18);e.xor(a);a.assign(t);a.rotateRight(41);e.xor(a)}function littleSigma(e,t,a){e.assign(t);e.rotateRight(1\ -);a.assign(t);a.rotateRight(8);e.xor(a);a.assign(t);a.shiftRight(7);e.xor(a)}function littleSigmaPrime(e,t,a){e.assign(t);e.rotateRight(19);a.assign(t);a.rotateRight(61);e.xor(a);a.assign(t);a.shiftRight(6);e.xor(a)}function calculateSHA512(e,t,a,r=!1){let i,n,s,o,c,l,h,u;if(r){i=new Word64(3418070365,3238371032);n=new Word64(1654270250,914150663);s=new Word64(2438529370,812702999);o=new Word64(355462360,4144912697);c=new Word64(1731405415,4290775857);l=new Word64(2394180231,1750603025);h=new Wo\ -rd64(3675008525,1694076839);u=new Word64(1203062813,3204075428)}else{i=new Word64(1779033703,4089235720);n=new Word64(3144134277,2227873595);s=new Word64(1013904242,4271175723);o=new Word64(2773480762,1595750129);c=new Word64(1359893119,2917565137);l=new Word64(2600822924,725511199);h=new Word64(528734635,4215389547);u=new Word64(1541459225,327033209)}const d=128*Math.ceil((a+17)/128),f=new Uint8Array(d);let g,p;for(g=0;g>>29&2\ -55;f[g++]=a>>21&255;f[g++]=a>>13&255;f[g++]=a>>5&255;f[g++]=a<<3&255;const b=new Array(80);for(g=0;g<80;g++)b[g]=new Word64(0,0);const{k:y}=mc;let w=new Word64(0,0),x=new Word64(0,0),S=new Word64(0,0),k=new Word64(0,0),C=new Word64(0,0),v=new Word64(0,0),F=new Word64(0,0),T=new Word64(0,0);const O=new Word64(0,0),M=new Word64(0,0),D=new Word64(0,0),R=new Word64(0,0);let N,E;for(g=0;g>>t|e<<32-t}function calculate_sha256_ch(e,t,a){return e&t^~e&a}function calculate_sha256_maj(e,t,a){return e&t^e&a^t&a}function calculate_sha256_sigma(e){return rotr(e,2)^rotr(e,13)^rotr(e,22)}function calculate_sha256_sigmaPrime(e){return rotr(e,6)^rotr(e,11)^rotr(e,25)}function calculate_sha256_littleSigma(e){return rotr(e,7)^rotr(e,18)^e>>>3}function calculateSHA256(e,t,a){let r=1779033703,i=3144134277,n=1013904242,s=2773480762,o=1359893119,c=2600822924,l=5287\ -34635,h=1541459225;const u=64*Math.ceil((a+9)/64),d=new Uint8Array(u);let f,g;for(f=0;f>>29&255;d[f++]=a>>21&255;d[f++]=a>>13&255;d[f++]=a>>5&255;d[f++]=a<<3&255;const m=new Uint32Array(64),{k:b}=bc;for(f=0;f>>10)+m[g-7]+calculate_sha256_littleSigma(m[g-15])+m[g-16]|0;let e,t,a=r,u=i,p=n,w=s,x=o,S=c,k=l,C=h\ -;for(g=0;g<64;++g){e=C+calculate_sha256_sigmaPrime(x)+calculate_sha256_ch(x,S,k)+b[g]+m[g];t=calculate_sha256_sigma(a)+calculate_sha256_maj(a,u,p);C=k;k=S;S=x;x=w+e|0;w=p;p=u;u=a;a=e+t|0}r=r+a|0;i=i+u|0;n=n+p|0;s=s+w|0;o=o+x|0;c=c+S|0;l=l+k|0;h=h+C|0}var y;return new Uint8Array([r>>24&255,r>>16&255,r>>8&255,255&r,i>>24&255,i>>16&255,i>>8&255,255&i,n>>24&255,n>>16&255,n>>8&255,255&n,s>>24&255,s>>16&255,s>>8&255,255&s,o>>24&255,o>>16&255,o>>8&255,255&o,c>>24&255,c>>16&255,c>>8&255,255&c,l>>24&255,\ -l>>16&255,l>>8&255,255&l,h>>24&255,h>>16&255,h>>8&255,255&h])}class DecryptStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.decrypt=a;this.nextChunk=null;this.initialized=!1}readBlock(){let e;if(this.initialized)e=this.nextChunk;else{e=this.str.getBytes(512);this.initialized=!0}if(!e?.length){this.eof=!0;return}this.nextChunk=this.str.getBytes(512);const t=this.nextChunk?.length>0;e=(0,this.decrypt)(e,!t);const a=this.bufferLength,r=a+e.length;this.ensureB\ -uffer(r).set(e,a);this.bufferLength=r}}class ARCFourCipher{constructor(e){this.a=0;this.b=0;const t=new Uint8Array(256),a=e.length;for(let e=0;e<256;++e)t[e]=e;for(let r=0,i=0;r<256;++r){const n=t[r];i=i+n+e[r%a]&255;t[r]=t[i];t[i]=n}this.s=t}encryptBlock(e){let t=this.a,a=this.b;const r=this.s,i=e.length,n=new Uint8Array(i);for(let s=0;st<128?t<<1:t<<1^27));constructor(){this.buffer=new Uint8Array(16);this.bufferPosition=0}_expandKey(e){unreachable("Cannot call `_expandKey` on the base class")}_decrypt(e,t){let a,r,i;const n=new\ - Uint8Array(16);n.set(e);for(let e=0,a=this._keySize;e<16;++e,++a)n[e]^=t[a];for(let e=this._cyclesOfRepetition-1;e>=1;--e){a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e)n[e]=this._inv_s[n[e]];for(let a=0,r=16*e;a<16;++a,++r)n[a]^=t[r];for(let e=0;e<16;e+=4){const t=this._mix[n[e]],r=this._mix[n[e+1]],i=this._mix[n[e+2]],s=this._mix[n[e+3]];a=t^r>>>8^r<<24^i>>>16^i<<16\ -^s>>>24^s<<8;n[e]=a>>>24&255;n[e+1]=a>>16&255;n[e+2]=a>>8&255;n[e+3]=255&a}}a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e){n[e]=this._inv_s[n[e]];n[e]^=t[e]}return n}_encrypt(e,t){const a=this._s;let r,i,n;const s=new Uint8Array(16);s.set(e);for(let e=0;e<16;++e)s[e]^=t[e];for(let e=1;e=r;--a)if(e[a]!==t){t=0;break}o-=t;n[n.length-1]=e.subarray(0,16-t)}}const c=new Uint8Array(o);for(let e=0,t=0,a=n.length;e=256&&(o=255&(27^o))}for(let t=0;t<4;++t){a[e]=r^=a[e-32];e++;a[e]=i^=a[e-32];e++;a[e]=n^=a[e-32];e++;a[e]=s^=a[e-32];e++}}return a}}class PDFBase{_hash(e,t,a){unreachable("Abstract method `_hash` called")}checkOwnerPassword(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(\ -e,0);i.set(t,e.length);i.set(a,e.length+t.length);return isArrayEqual(this._hash(e,i,a),r)}checkUserPassword(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);return isArrayEqual(this._hash(e,r,[]),a)}getOwnerKey(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);const n=this._hash(e,i,a);return new AES256Cipher(n).decryptBlock(r,!1,new Uint8Array(16))}getUserKey(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.\ -length);const i=this._hash(e,r,[]);return new AES256Cipher(i).decryptBlock(a,!1,new Uint8Array(16))}}class PDF17 extends PDFBase{_hash(e,t,a){return calculateSHA256(t,0,t.length)}}class PDF20 extends PDFBase{_hash(e,t,a){let r=calculateSHA256(t,0,t.length).subarray(0,32),i=[0],n=0;for(;n<64||i.at(-1)>n-32;){const t=e.length+r.length+a.length,l=new Uint8Array(t);let h=0;l.set(e,h);h+=e.length;l.set(r,h);h+=r.length;l.set(a,h);const u=new Uint8Array(64*t);for(let e=0,a=0;e<64;e++,a+=t)u.set(l,a);i\ -=new AES128Cipher(r.subarray(0,16)).encrypt(u,r.subarray(16,32));const d=Math.sumPrecise(i.slice(0,16))%3;0===d?r=calculateSHA256(i,0,i.length):1===d?r=(s=i,o=0,c=i.length,calculateSHA512(s,o,c,!0)):2===d&&(r=calculateSHA512(i,0,i.length));n++}var s,o,c;return r.subarray(0,32)}}class CipherTransform{constructor(e,t){this.StringCipherConstructor=e;this.StreamCipherConstructor=t}createStream(e,t){const a=new this.StreamCipherConstructor;return new DecryptStream(e,t,(function cipherTransformDecrypt\ -Stream(e,t){return a.decryptBlock(e,t)}))}decryptString(e){const t=new this.StringCipherConstructor;let a=stringToBytes(e);a=t.decryptBlock(a,!0);return bytesToString(a)}encryptString(e){const t=new this.StringCipherConstructor;if(t instanceof AESBaseCipher){const a=16-e.length%16;e+=String.fromCharCode(a).repeat(a);const r=new Uint8Array(16);crypto.getRandomValues(r);let i=stringToBytes(e);i=t.encrypt(i,r);const n=new Uint8Array(16+i.length);n.set(r);n.set(i,16);return bytesToString(n)}let a=st\ -ringToBytes(e);a=t.encrypt(a);return bytesToString(a)}}class CipherTransformFactory{static get _defaultPasswordBytes(){return shadow(this,"_defaultPasswordBytes",new Uint8Array([40,191,78,94,78,117,138,65,100,0,78,86,255,250,1,8,46,46,0,182,208,104,62,128,47,12,169,254,100,83,105,122]))}#Oe(e,t,a,r,i,n,s,o,c,l,h,u){if(t){const e=Math.min(127,t.length);t=t.subarray(0,e)}else t=[];const d=6===e?new PDF20:new PDF17;return d.checkUserPassword(t,o,s)?d.getUserKey(t,c,h):t.length&&d.checkOwnerPassword\ -(t,r,n,a)?d.getOwnerKey(t,i,n,l):null}#Me(e,t,a,r,i,n,s,o){const c=40+a.length+e.length,l=new Uint8Array(c);let h,u,d=0;if(t){u=Math.min(32,t.length);for(;d>8&255;l[d++]=i>>16&255;l[d++]=i>>>24&255;l.set(e,d);d+=e.length;if(n>=4&&!o){l.fill(255,d,d+4);d+=4}let f=calculateMD5(l,0,d);const g=s>>3;if(n>=3)for(h=0;h<50;++h)f=calculateMD5(f,0,g);const p=f.subarray(0,g)\ -;let m,b;if(n>=3){d=0;l.set(CipherTransformFactory._defaultPasswordBytes,d);d+=32;l.set(e,d);d+=e.length;m=new ARCFourCipher(p);b=m.encryptBlock(calculateMD5(l,0,d));u=p.length;const t=new Uint8Array(u);for(h=1;h<=19;++h){for(let e=0;er[t]===e))?p:null}#De(e,t,a,r){const i=new Uint8Array(32);let n=0;const s=Math.min(32,e.\ -length);for(;n>3;if(a>=3)for(o=0;o<50;++o)c=calculateMD5(c,0,c.length);let h,u;if(a>=3){u=t;const e=new Uint8Array(l);for(o=19;o>=0;o--){for(let t=0;t>8&255;n[s++]=e>>16&255;n[s++]=255&t;n[s++]=t>>8&255;if(r){n[s++]=115;n[s++]=65;n[s++]=108;n[s++]=84}return calculateMD5(n,0,s).subarray(0,Math.min(i+5,16))}#Re(e,t,a,r,i){if(!(t instanceof Name))throw new FormatError("Invalid crypt filter name.");const n=this,s=e.get(t.name),o=s?.get("CFM");if(!o||"None"===o.name)return function(){return new NullCipher};if("V2"===o.name)return function(){return new ARCFourCipher(n.#Be(a,r,i,!1))};if("AESV2"===o.name)return function(){return new AES128Cip\ -her(n.#Be(a,r,i,!0))};if("AESV3"===o.name)return function(){return new AES256Cipher(i)};throw new FormatError("Unknown crypto method")}constructor(e,t,a){const r=e.get("Filter");if(!isName(r,"Standard"))throw new FormatError("unknown encryption method");this.filterName=r.name;this.dict=e;const i=e.get("V");if(!Number.isInteger(i)||1!==i&&2!==i&&4!==i&&5!==i)throw new FormatError("unsupported encryption algorithm");this.algorithm=i;let n=e.get("Length");if(!n)if(i<=3)n=40;else{const t=e.get("CF")\ -,a=e.get("StmF");if(t instanceof Dict&&a instanceof Name){t.suppressEncryption=!0;const e=t.get(a.name);n=e?.get("Length")||128;n<40&&(n<<=3)}}if(!Number.isInteger(n)||n<40||n%8!=0)throw new FormatError("invalid key length");const s=stringToBytes(e.get("O")),o=stringToBytes(e.get("U")),c=s.subarray(0,32),l=o.subarray(0,32),h=e.get("P"),u=e.get("R"),d=(4===i||5===i)&&!1!==e.get("EncryptMetadata");this.encryptMetadata=d;const f=stringToBytes(t);let g,p;if(a){if(6===u)try{a=utf8StringToString(a)}ca\ -tch{warn("CipherTransformFactory: Unable to convert UTF8 encoded password.")}g=stringToBytes(a)}if(5!==i)p=this.#Me(f,g,c,l,h,u,n,d);else{const t=s.subarray(32,40),a=s.subarray(40,48),r=o.subarray(0,48),i=o.subarray(32,40),n=o.subarray(40,48),h=stringToBytes(e.get("OE")),d=stringToBytes(e.get("UE")),f=stringToBytes(e.get("Perms"));p=this.#Oe(u,g,c,t,a,r,l,i,n,h,d,f)}if(!p){if(!a)throw new PasswordException("No password given",ha);const e=this.#De(g,c,u,n);p=this.#Me(f,e,c,l,h,u,n,d)}if(!p)throw \ -new PasswordException("Incorrect Password",ua);if(4===i&&p.length<16){this.encryptionKey=new Uint8Array(16);this.encryptionKey.set(p)}else this.encryptionKey=p;if(i>=4){const t=e.get("CF");t instanceof Dict&&(t.suppressEncryption=!0);this.cf=t;this.stmf=e.get("StmF")||Name.get("Identity");this.strf=e.get("StrF")||Name.get("Identity");this.eff=e.get("EFF")||this.stmf}}createCipherTransform(e,t){if(4===this.algorithm||5===this.algorithm)return new CipherTransform(this.#Re(this.cf,this.strf,e,t,thi\ -s.encryptionKey),this.#Re(this.cf,this.stmf,e,t,this.encryptionKey));const a=this.#Be(e,t,this.encryptionKey,!1),cipherConstructor=function(){return new ARCFourCipher(a)};return new CipherTransform(cipherConstructor,cipherConstructor)}}class XRef{#Ne=null;constructor(e,t){this.stream=e;this.pdfManager=t;this.entries=[];this._xrefStms=new Set;this._cacheMap=new Map;this._pendingRefs=new RefSet;this._newPersistentRefNum=null;this._newTemporaryRefNum=null;this._persistentRefsCache=null}getNewPersis\ -tentRef(e){null===this._newPersistentRefNum&&(this._newPersistentRefNum=this.entries.length||1);const t=this._newPersistentRefNum++;this._cacheMap.set(t,e);return Ref.get(t,0)}getNewTemporaryRef(){if(null===this._newTemporaryRefNum){this._newTemporaryRefNum=this.entries.length||1;if(this._newPersistentRefNum){this._persistentRefsCache=new Map;for(let e=this._newTemporaryRefNum;e0;){const[s,o]=n;if(!Number.isInteger(s)||!Number.isInteger(o))throw new FormatError(`Invalid XRef range fields: ${s}, ${o}`);if(!Number.isInteger(a)||!Number.isInteger(r)||!Number.isInteger(i))throw new FormatError(`Invalid XRef entry fields length: ${s}, ${o}`);for(let n=t.entryNum;n=e.length);){a+=String.fromCharCode(r);r=e[t]}return a}function skipUntil(e,t,a){const r=a.length,i=e.length;let n=0;for(;t=r)break;t++;n++}return n}const e=/\\b(endobj|\\d+\\s+\\d+\\s+obj|xref|trailer\\s*<<)\\b/g,t=/\\b(startxref|\\d+\\s+\\d+\\s+obj)\\b/g,a=/^(\\d+)\\s+(\\d+)\\s+obj\\b/,r=new Uint8Array([116,114,97,105,108,101,114]),i=new Uint8Array([115,\ -116,97,114,116,120,114,101,102]),n=new Uint8Array([47,88,82,101,102]);this.entries.length=0;this._cacheMap.clear();const s=this.stream;s.pos=0;const o=s.getBytes(),c=bytesToString(o),l=o.length;let h=s.start;const u=[],d=[];for(;h=l)break;f=o[h]}while(10!==f&&13!==f);continue}const g=readToken(o,h);let p;if(g.startsWith("xref")&&(4===g.length||/\\s/.test(g[4]))){h+=skipUntil(o,h,r);u.push(h);h+=skipUntil(o,h,i)}\ -else if(p=a.exec(g)){const t=0|p[1],a=0|p[2],r=h+g.length;let i,u=!1;if(this.entries[t]){if(this.entries[t].gen===a)try{new Parser({lexer:new Lexer(s.makeSubStream(r))}).getObj();u=!0}catch(e){e instanceof ParserEOFException?warn(`indexObjects -- checking object (${g}): "${e}".`):u=!0}}else u=!0;u&&(this.entries[t]={offset:h-s.start,gen:a,uncompressed:!0});e.lastIndex=r;const f=e.exec(c);if(f){i=e.lastIndex+1-h;if("endobj"!==f[1]){warn(`indexObjects: Found "${f[1]}" inside of another "obj", caus\ -ed by missing "endobj" -- trying to recover.`);i-=f[1].length+1}}else i=l-h;const m=o.subarray(h,h+i),b=skipUntil(m,0,n);if(b0?Math.max(...this._xrefStms):null)}getEntry(e){const t=this.entries[e];return t&&!t.free&&t.offset?t:null}fetchIfRef(e,t=!1){return e instanceof Ref?this.fetch(e,t):e}fetch(e,t=!1){if(!(e instanceof Ref))throw n\ -ew Error("ref object is not a reference");const a=e.num,r=this._cacheMap.get(a);if(void 0!==r){r instanceof Dict&&!r.objId&&(r.objId=e.toString());return r}let i=this.getEntry(a);if(null===i)return i;if(this._pendingRefs.has(e)){this._pendingRefs.remove(e);warn(`Ignoring circular reference: ${e}.`);return ya}this._pendingRefs.put(e);try{i=i.uncompressed?this.fetchUncompressed(e,i,t):this.fetchCompressed(e,i,t);this._pendingRefs.remove(e)}catch(t){this._pendingRefs.remove(e);throw t}i instanceof \ -Dict?i.objId=e.toString():i instanceof BaseStream&&(i.dict.objId=e.toString());return i}fetchUncompressed(e,t,a=!1){const r=e.gen;let i=e.num;if(t.gen!==r){const n=`Inconsistent generation in XRef: ${e}`;if(this._generationFallback&&t.gen0&&t[3]-t[1]>0)return t;warn(`Empty, or invalid, /${e} entry.`)}return null}get mediaBox(){return shadow(this,"mediaBox",this.#je("MediaBox")||yc)}get cropBox(){return shadow(this,"cropBox",this.#je("CropBox")||this.mediaBox)}get userUnit(){const e=this.pageDict.get("UserUnit");return shadow(this,"userUnit","number"==typeof e&&e>0?e:1)}get view(){const{cropBox:e,mediaBox:t}=this;if(e!==t&&!isArrayEqual(e,t)){const a=Util.intersect(e,t);if(a&&a[2]-a[0]>0&&a\ -[3]-a[1]>0)return shadow(this,"view",a);warn("Empty /CropBox and /MediaBox intersection.")}return shadow(this,"view",t)}get rotate(){let e=this.#Le("Rotate")||0;e%90!=0?e=0:e>=360?e%=360:e<0&&(e=(e%360+360)%360);return shadow(this,"rotate",e)}#_e(e,t){if(!this.evaluatorOptions.ignoreErrors)throw e;warn(`getContentStream - ignoring sub-stream (${t}): "${e}".`)}async getContentStream(){const e=await this.pdfManager.ensure(this,"content");return e instanceof BaseStream?e:Array.isArray(e)?new Stream\ -sSequenceStream(e,this.#_e.bind(this)):new NullStream}get xfaData(){return shadow(this,"xfaData",this.xfaFactory?{bbox:this.xfaFactory.getBoundingBox(this.pageIndex)}:null)}async#Ue(e,t,a){const r=[];for(const i of e)if(i.id){const e=Ref.fromString(i.id);if(!e){warn(`A non-linked annotation cannot be modified: ${i.id}`);continue}if(i.deleted){t.put(e,e);if(i.popupRef){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}continue}if(i.popup?.deleted){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}a\ -?.put(e);i.ref=e;r.push(this.xref.fetchAsync(e).then((e=>{e instanceof Dict&&(i.oldAnnotation=e.clone())}),(()=>{warn(`Cannot fetch \\`oldAnnotation\\` for: ${e}.`)})));delete i.id}await Promise.all(r)}async saveNewAnnotations(e,t,a,r,i){if(this.xfaFactory)throw new Error("XFA: Cannot save new annotations.");const n=this.#Pe(e),s=new RefSetCache,o=new RefSet;await this.#Ue(a,s,o);const c=this.pageDict,l=this.annotations.filter((e=>!(e instanceof Ref&&s.has(e)))),h=await AnnotationFactory.saveNewAn\ -notations(n,t,a,r,i);for(const{ref:e}of h.annotations)e instanceof Ref&&!o.has(e)&&l.push(e);const u=c.clone();u.set("Annots",l);i.put(this.ref,{data:u});for(const e of s)i.put(e,{data:null})}async save(e,t,a,r){const i=this.#Pe(e),n=await this._parsedAnnotations,s=[];for(const e of n)s.push(e.save(i,t,a,r).catch((function(e){warn(`save - ignoring annotation data during "${t.name}" task: "${e}".`);return null})));return Promise.all(s)}async loadResources(e){await(this.#Ee??=this.pdfManager.ensur\ -e(this,"resources"));await ObjectLoader.load(this.resources,e,this.xref)}async#Xe(e,t){const a=e?.get("Resources");if(!(a instanceof Dict&&a.size))return this.resources;await ObjectLoader.load(a,t,this.xref);return Dict.merge({xref:this.xref,dictArray:[a,this.resources],mergeSubDicts:!0})}async getOperatorList({handler:e,sink:t,task:a,intent:r,cacheKey:i,annotationStorage:c=null,modifiedIds:d=null}){const g=this.getContentStream(),p=this.loadResources(Ia),m=this.#Pe(e),b=this.xfaFactory?null:get\ -NewAnnotationsMap(c),y=b?.get(this.pageIndex);let w=Promise.resolve(null),x=null;if(y){const e=this.pdfManager.ensureDoc("annotationGlobals");let t;const r=new Set;for(const{bitmapId:e,bitmap:t}of y)!e||t||r.has(e)||r.add(e);const{isOffscreenCanvasSupported:i}=this.evaluatorOptions;if(r.size>0){const e=y.slice();for(const[t,a]of c)t.startsWith(f)&&a.bitmap&&r.has(a.bitmapId)&&e.push(a);t=AnnotationFactory.generateImages(e,this.xref,i)}else t=AnnotationFactory.generateImages(y,this.xref,i);x=new \ -RefSet;w=Promise.all([e,this.#Ue(y,x,null)]).then((([e])=>e?AnnotationFactory.printNewAnnotations(e,m,a,y,t):null))}const S=Promise.all([g,p]).then((async([n])=>{const s=await this.#Xe(n.dict,Ia),o=new OperatorList(r,t);e.send("StartRenderPage",{transparency:m.hasBlendModes(s,this.nonBlendModesSet),pageIndex:this.pageIndex,cacheKey:i});await m.getOperatorList({stream:n,task:a,resources:s,operatorList:o});return o}));let[k,C,v]=await Promise.all([S,this._parsedAnnotations,w]);if(v){C=C.filter((e=\ ->!(e.ref&&x.has(e.ref))));for(let e=0,t=v.length;ee.ref&&isRefsEqual(e.ref,a.refToReplace)));if(r>=0){C.splice(r,1,a);v.splice(e--,1);t--}}}C=C.concat(v)}if(0===C.length||r&h){k.flush(!0);return{length:k.totalLength}}const F=!!(r&l),T=!!(r&u),O=!!(r&n),M=!!(r&s),D=!!(r&o),R=[];for(const e of C)(O||M&&e.mustBeViewed(c,F)&&e.mustBeViewedWhenEditing(T,d)||D&&e.mustBePrinted(c))&&R.push(e.getOperatorList(m,a,r,c).catch((function(e){warn\ -(`getOperatorList - ignoring annotation data during "${a.name}" task: "${e}".`);return{opList:null,separateForm:!1,separateCanvas:!1}})));const N=await Promise.all(R);let E=!1,L=!1;for(const{opList:e,separateForm:t,separateCanvas:a}of N){k.addOpList(e);E||=t;L||=a}k.flush(!0,{form:E,canvas:L});return{length:k.totalLength}}async extractTextContent({handler:e,task:t,includeMarkedContent:a,disableNormalization:r,sink:i,intersector:n=null}){const s=this.getContentStream(),o=this.loadResources(Ta),c=\ -this.pdfManager.ensureCatalog("lang"),[l,,h]=await Promise.all([s,o,c]),u=await this.#Xe(l.dict,Ta);return this.#Pe(e).getTextContent({stream:l,task:t,resources:u,includeMarkedContent:a,disableNormalization:r,sink:i,viewBox:this.view,lang:h,intersector:n})}async getStructTree(){const e=await this.pdfManager.ensureCatalog("structTreeRoot");if(!e)return null;await this._parsedAnnotations;try{const t=await this.pdfManager.ensure(this,"_parseStructTree",[e]);return await this.pdfManager.ensure(t,"se\ -rializable")}catch(e){warn(`getStructTree: "${e}".`);return null}}_parseStructTree(e){const t=new StructTreePage(e,this.pageDict);t.parse(this.ref);return t}async getAnnotationsData(e,t,a){const r=await this._parsedAnnotations;if(0===r.length)return r;const i=[],c=[];let l;const h=!!(a&n),u=!!(a&s),d=!!(a&o),f=[];for(const a of r){const r=h||u&&a.viewable;(r||d&&a.printable)&&i.push(a.data);if(a.hasTextContent&&r){l??=this.#Pe(e);c.push(a.extractTextContent(l,t,[-1/0,-1/0,1/0,1/0]).catch((functi\ -on(e){warn(`getAnnotationsData - ignoring textContent during "${t.name}" task: "${e}".`)})))}else a.overlaysTextContent&&r&&f.push(a)}if(f.length>0){const a=new Intersector(f);c.push(this.extractTextContent({handler:e,task:t,includeMarkedContent:!1,disableNormalization:!1,sink:null,viewBox:this.view,lang:null,intersector:a}).then((()=>{a.setText()})))}await Promise.all(c);return i}get annotations(){const e=this.#Le("Annots");return shadow(this,"annotations",Array.isArray(e)?e:[])}get _parsedAnno\ -tations(){return shadow(this,"_parsedAnnotations",this.pdfManager.ensure(this,"annotations").then((async e=>{if(0===e.length)return e;const[t,a]=await Promise.all([this.pdfManager.ensureDoc("annotationGlobals"),this.pdfManager.ensureDoc("fieldObjects")]);if(!t)return[];const r=a?.orphanFields,i=[];for(const a of e)i.push(AnnotationFactory.create(this.xref,a,t,this._localIdFactory,!1,r,this.ref).catch((function(e){warn(`_parsedAnnotations: "${e}".`);return null})));const n=[];let s,o;for(const e \ -of await Promise.all(i))e&&(e instanceof WidgetAnnotation?(o||=[]).push(e):e instanceof PopupAnnotation?(s||=[]).push(e):n.push(e));o&&n.push(...o);s&&n.push(...s);return n})))}get jsActions(){return shadow(this,"jsActions",collectActions(this.xref,this.pageDict,xe))}}const wc=new Uint8Array([37,80,68,70,45]),xc=new Uint8Array([115,116,97,114,116,120,114,101,102]),Sc=new Uint8Array([101,110,100,111,98,106]);function find(e,t,a=1024,r=!1){const i=t.length,n=e.peekBytes(a),s=n.length-i;if(s<=0)ret\ -urn!1;if(r){const a=i-1;let r=n.length-1;for(;r>=a;){let s=0;for(;s=i){e.pos+=r-a;return!0}r--}}else{let a=0;for(;a<=s;){let r=0;for(;r=i){e.pos+=a;return!0}a++}}return!1}class PDFDocument{#qe=new Map;#He=null;constructor(e,t){if(t.length<=0)throw new InvalidPDFException("The PDF file is empty, i.e. its size is zero bytes.");this.pdfManager=e;this.stream=t;this.xref=new XRef(t,e);const a={font:0};this._globalIdFactory=class{static getDocI\ -d(){return`g_${e.docId}`}static createFontId(){return"f"+ ++a.font}static createObjId(){unreachable("Abstract method `createObjId` called.")}static getPageObjId(){unreachable("Abstract method `getPageObjId` called.")}}}parse(e){this.xref.parse(e);this.catalog=new Catalog(this.pdfManager,this.xref)}get linearization(){let e=null;try{e=Linearization.create(this.stream)}catch(e){if(e instanceof MissingDataException)throw e;info(e)}return shadow(this,"linearization",e)}get startXRef(){const e=this.s\ -tream;let t=0;if(this.linearization){e.reset();if(find(e,Sc)){e.skip(6);let a=e.peekByte();for(;isWhiteSpace(a);){e.pos++;a=e.peekByte()}t=e.pos-e.start}}else{const a=1024,r=xc.length;let i=!1,n=e.end;for(;!i&&n>0;){n-=a-r;n<0&&(n=0);e.pos=n;i=find(e,xc,a,!0)}if(i){e.skip(9);let a;do{a=e.getByte()}while(isWhiteSpace(a));let r="";for(;a>=32&&a<=57;){r+=String.fromCharCode(a);a=e.getByte()}t=parseInt(r,10);isNaN(t)&&(t=0)}}return shadow(this,"startXRef",t)}checkHeader(){const e=this.stream;e.reset\ -();if(!find(e,wc))return;e.moveStart();e.skip(wc.length);let t,a="";for(;(t=e.getByte())>32&&a.length<7;)a+=String.fromCharCode(t);Ca.test(a)?this.#He=a:warn(`Invalid PDF header version: ${a}`)}parseStartXRef(){this.xref.setStartXRef(this.startXRef)}get numPages(){let e=0;e=this.catalog.hasActualNumPages?this.catalog.numPages:this.xfaFactory?this.xfaFactory.getNumPages():this.linearization?this.linearization.numPages:this.catalog.numPages;return shadow(this,"numPages",e)}#We(e,t=0){return!!Array\ -.isArray(e)&&e.every((e=>{if(!((e=this.xref.fetchIfRef(e))instanceof Dict))return!1;if(e.has("Kids")){if(++t>10){warn("#hasOnlyDocumentSignatures: maximum recursion depth reached");return!1}return this.#We(e.get("Kids"),t)}const a=isName(e.get("FT"),"Sig"),r=e.get("Rect"),i=Array.isArray(r)&&r.every((e=>0===e));return a&&i}))}#ze(e,t,a=new RefSet){if(Array.isArray(e))for(let r of e){if(r instanceof Ref){if(a.has(r))continue;a.put(r)}r=this.xref.fetchIfRef(r);if(!(r instanceof Dict))continue;if(r\ -.has("Kids")){this.#ze(r.get("Kids"),t,a);continue}if(!isName(r.get("FT"),"Sig"))continue;const e=r.get("V");if(!(e instanceof Dict))continue;const i=e.get("SubFilter");i instanceof Name&&t.add(i.name)}}get _xfaStreams(){const{acroForm:e}=this.catalog;if(!e)return null;const t=e.get("XFA"),a=new Map(["xdp:xdp","template","datasets","config","connectionSet","localeSet","stylesheet","/xdp:xdp"].map((e=>[e,null])));if(t instanceof BaseStream&&!t.isEmpty){a.set("xdp:xdp",t);return a}if(!Array.isArra\ -y(t)||0===t.length)return null;for(let e=0,r=t.length;el.handleSetFont(r,[Name.get(e),1],null,h,t,d,a,i).catch((e=>{warn(`loadXfaFonts: \ -"${e}".`);return null})),f=[];for(const[e,t]of i){const a=t.get("FontDescriptor");if(!(a instanceof Dict))continue;let r=a.get("FontFamily");r=r.replaceAll(/[ ]+(\\d)/g,"$1");const i={fontFamily:r,fontWeight:a.get("FontWeight"),italicAngle:-a.get("ItalicAngle")};validateCSSFont(i)&&f.push(parseFont(e,null,i))}await Promise.all(f);const g=this.xfaFactory.setFonts(u);if(!g)return;n.ignoreErrors=!0;f.length=0;u.length=0;const p=new Set;for(const e of g)getXfaFontName(`${e}-Regular`)||p.add(e);p.size\ -&&g.push("PdfJS-Fallback");for(const e of g)if(!p.has(e))for(const t of[{name:"Regular",fontWeight:400,italicAngle:0},{name:"Bold",fontWeight:700,italicAngle:0},{name:"Italic",fontWeight:400,italicAngle:12},{name:"BoldItalic",fontWeight:700,italicAngle:12}]){const a=`${e}-${t.name}`;f.push(parseFont(a,getXfaFontDict(a),{fontFamily:e,fontWeight:t.fontWeight,italicAngle:t.italicAngle}))}await Promise.all(f);this.xfaFactory.appendFonts(u,p)}loadXfaResources(e,t){return Promise.all([this.#Ge(e,t).ca\ -tch((()=>{})),this.#$e()])}serializeXfaData(e){return this.xfaFactory?this.xfaFactory.serializeData(e):null}get version(){return this.catalog.version||this.#He}get formInfo(){const e={hasFields:!1,hasAcroForm:!1,hasXfa:!1,hasSignatures:!1},{acroForm:t}=this.catalog;if(!t)return shadow(this,"formInfo",e);try{const a=t.get("Fields"),r=Array.isArray(a)&&a.length>0;e.hasFields=r;const i=t.get("XFA");e.hasXfa=Array.isArray(i)&&i.length>0||i instanceof BaseStream&&!i.isEmpty;const n=!!(1&t.get("SigFla\ -gs")),s=n&&this.#We(a);e.hasAcroForm=r&&!s;e.hasSignatures=n}catch(e){if(e instanceof MissingDataException)throw e;warn(`Cannot fetch form information: "${e}".`)}return shadow(this,"formInfo",e)}get documentInfo(){const{catalog:e,formInfo:t,xref:a}=this,r={PDFFormatVersion:this.version,Language:e.lang,EncryptFilterName:a.encrypt?.filterName??null,IsLinearized:!!this.linearization,IsAcroFormPresent:t.hasAcroForm,IsXFAPresent:t.hasXfa,IsCollectionPresent:!!e.collection,IsSignaturesPresent:t.hasSig\ -natures};let i;try{i=a.trailer.get("Info")}catch(e){if(e instanceof MissingDataException)throw e;info("The document information dictionary is invalid.")}if(!(i instanceof Dict))return shadow(this,"documentInfo",r);for(const[e,t]of i){switch(e){case"Title":case"Author":case"Subject":case"Keywords":case"Creator":case"Producer":case"CreationDate":case"ModDate":if("string"==typeof t){r[e]=stringToPDFString(t);continue}break;case"Trapped":if(t instanceof Name){r[e]=t;continue}break;default:let a;swit\ -ch(typeof t){case"string":a=stringToPDFString(t);break;case"number":case"boolean":a=t;break;default:t instanceof Name&&(a=t)}if(void 0===a){warn(`Bad value, for custom key "${e}", in Info: ${t}.`);continue}r.Custom??=Object.create(null);r.Custom[e]=a;continue}warn(`Bad value, for key "${e}", in Info: ${t}.`)}return shadow(this,"documentInfo",r)}get fingerprints(){const e="\\0".repeat(16);function validate(t){return"string"==typeof t&&16===t.length&&t!==e}const t=this.xref.trailer.get("ID");let a,\ -r;if(Array.isArray(t)&&validate(t[0])){a=stringToBytes(t[0]);t[1]!==t[0]&&validate(t[1])&&(r=stringToBytes(t[1]))}else a=calculateMD5(this.stream.getByteRange(0,1024),0,1024);return shadow(this,"fingerprints",[toHexUtil(a),r?toHexUtil(r):null])}async#Ve(e){const{catalog:t,linearization:a,xref:r}=this,i=Ref.get(a.objectNumberFirst,0);try{const e=await r.fetchAsync(i);if(e instanceof Dict){let a=e.getRaw("Type");a instanceof Ref&&(a=await r.fetchAsync(a));if(isName(a,"Page")||!e.has("Type")&&!e.ha\ -s("Kids")&&e.has("Contents")){t.pageKidsCountCache.has(i)||t.pageKidsCountCache.put(i,1);t.pageIndexCache.has(i)||t.pageIndexCache.put(i,0);return[e,i]}}throw new FormatError("The Linearization dictionary doesn\'t point to a valid Page dictionary.")}catch(a){warn(`_getLinearizationPage: "${a.message}".`);return t.getPageDict(e)}}getPage(e){const t=this.#qe.get(e);if(t)return t;const{catalog:a,linearization:r,xfaFactory:i}=this;let n;n=i?Promise.resolve([Dict.empty,null]):r?.pageFirst===e?this.#Ve\ -(e):a.getPageDict(e);n=n.then((([t,r])=>new Page({pdfManager:this.pdfManager,xref:this.xref,pageIndex:e,pageDict:t,ref:r,globalIdFactory:this._globalIdFactory,fontCache:a.fontCache,builtInCMapCache:a.builtInCMapCache,standardFontDataCache:a.standardFontDataCache,globalColorSpaceCache:a.globalColorSpaceCache,globalImageCache:a.globalImageCache,systemFontCache:a.systemFontCache,nonBlendModesSet:a.nonBlendModesSet,xfaFactory:i})));this.#qe.set(e,n);return n}async checkFirstPage(e=!1){if(!e)try{awai\ -t this.getPage(0)}catch(e){if(e instanceof XRefEntryException){this.#qe.delete(0);await this.cleanup();throw new XRefParseException}}}async checkLastPage(e=!1){const{catalog:t,pdfManager:a}=this;t.setActualNumPages();let r;try{await Promise.all([a.ensureDoc("xfaFactory"),a.ensureDoc("linearization"),a.ensureCatalog("numPages")]);if(this.xfaFactory)return;r=this.linearization?this.linearization.numPages:t.numPages;if(!Number.isInteger(r))throw new FormatError("Page count is not an integer.");if(r\ -<=1)return;await this.getPage(r-1)}catch(i){this.#qe.delete(r-1);await this.cleanup();if(i instanceof XRefEntryException&&!e)throw new XRefParseException;warn(`checkLastPage - invalid /Pages tree /Count: ${r}.`);let n;try{n=await t.getAllPageDicts(e)}catch(a){if(a instanceof XRefEntryException&&!e)throw new XRefParseException;t.setActualNumPages(1);return}for(const[e,[r,i]]of n){let n;if(r instanceof Error){n=Promise.reject(r);n.catch((()=>{}))}else n=Promise.resolve(new Page({pdfManager:a,xref:\ -this.xref,pageIndex:e,pageDict:r,ref:i,globalIdFactory:this._globalIdFactory,fontCache:t.fontCache,builtInCMapCache:t.builtInCMapCache,standardFontDataCache:t.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceCache,globalImageCache:t.globalImageCache,systemFontCache:t.systemFontCache,nonBlendModesSet:t.nonBlendModesSet,xfaFactory:null}));this.#qe.set(e,n)}t.setActualNumPages(n.size)}}async fontFallback(e,t){const{catalog:a,pdfManager:r}=this;for(const i of await Promise.all(a.font\ -Cache))if(i.loadedName===e){i.fallback(t,r.evaluatorOptions);return}}async cleanup(e=!1){return this.catalog?this.catalog.cleanup(e):clearGlobalCaches()}async#Ke(e,t,a,r,i,n,s){const{xref:o}=this;if(!(a instanceof Ref)||n.has(a))return;n.put(a);const c=await o.fetchAsync(a);if(!(c instanceof Dict))return;let l=await c.getAsync("Subtype");l=l instanceof Name?l.name:null;if("Link"===l)return;if(c.has("T")){const t=stringToPDFString(await c.getAsync("T"));e=""===e?t:`${e}.${t}`}else{let a=c;for(;;)\ -{a=a.getRaw("Parent")||t;if(a instanceof Ref){if(n.has(a))break;a=await o.fetchAsync(a)}if(!(a instanceof Dict))break;if(a.has("T")){const t=stringToPDFString(await a.getAsync("T"));e=""===e?t:`${e}.${t}`;break}}}t&&!c.has("Parent")&&isName(c.get("Subtype"),"Widget")&&s.put(a,t);r.has(e)||r.set(e,[]);r.get(e).push(AnnotationFactory.create(o,a,i,null,!0,s,null).then((e=>e?.getFieldObject())).catch((function(e){warn(`#collectFieldObjects: "${e}".`);return null})));if(!c.has("Kids"))return;const h=\ -await c.getAsync("Kids");if(Array.isArray(h))for(const t of h)await this.#Ke(e,a,t,r,i,n,s)}get fieldObjects(){return shadow(this,"fieldObjects",this.pdfManager.ensureDoc("formInfo").then((async e=>{if(!e.hasFields)return null;const t=await this.annotationGlobals;if(!t)return null;const{acroForm:a}=t,r=new RefSet,i=Object.create(null),n=new Map,s=new RefSetCache;for(const e of a.get("Fields"))await this.#Ke("",null,e,n,t,r,s);const o=[];for(const[e,t]of n)o.push(Promise.all(t).then((t=>{(t=t.fil\ -ter((e=>!!e))).length>0&&(i[e]=t)})));await Promise.all(o);return{allFields:objectSize(i)>0?i:null,orphanFields:s}})))}get hasJSActions(){return shadow(this,"hasJSActions",this.pdfManager.ensureDoc("_parseHasJSActions"))}async _parseHasJSActions(){const[e,t]=await Promise.all([this.pdfManager.ensureCatalog("jsActions"),this.pdfManager.ensureDoc("fieldObjects")]);return!!e||!!t?.allFields&&Object.values(t.allFields).some((e=>e.some((e=>null!==e.actions))))}get calculationOrderIds(){const e=this.c\ -atalog.acroForm?.get("CO");if(!Array.isArray(e)||0===e.length)return shadow(this,"calculationOrderIds",null);const t=[];for(const a of e)a instanceof Ref&&t.push(a.toString());return shadow(this,"calculationOrderIds",t.length?t:null)}get annotationGlobals(){return shadow(this,"annotationGlobals",AnnotationFactory.createGlobals(this.pdfManager))}}class BasePdfManager{constructor({docBaseUrl:e,docId:t,enableXfa:a,evaluatorOptions:r,handler:i,password:n}){this._docBaseUrl=function parseDocBaseUrl(e\ -){if(e){const t=createValidAbsoluteUrl(e);if(t)return t.href;warn(`Invalid absolute docBaseUrl: "${e}".`)}return null}(e);this._docId=t;this._password=n;this.enableXfa=a;r.isOffscreenCanvasSupported&&=FeatureTest.isOffscreenCanvasSupported;r.isImageDecoderSupported&&=FeatureTest.isImageDecoderSupported;this.evaluatorOptions=Object.freeze(r);ImageResizer.setOptions(r);JpegStream.setOptions(r);OperatorList.setOptions(r);const s={...r,handler:i};JpxImage.setOptions(s);IccColorSpace.setOptions(s);Cm\ -ykICCBasedCS.setOptions(s)}get docId(){return this._docId}get password(){return this._password}get docBaseUrl(){return this._docBaseUrl}ensureDoc(e,t){return this.ensure(this.pdfDocument,e,t)}ensureXRef(e,t){return this.ensure(this.pdfDocument.xref,e,t)}ensureCatalog(e,t){return this.ensure(this.pdfDocument.catalog,e,t)}getPage(e){return this.pdfDocument.getPage(e)}fontFallback(e,t){return this.pdfDocument.fontFallback(e,t)}cleanup(e=!1){return this.pdfDocument.cleanup(e)}async ensure(e,t,a){unr\ -eachable("Abstract method `ensure` called")}requestRange(e,t){unreachable("Abstract method `requestRange` called")}requestLoadedStream(e=!1){unreachable("Abstract method `requestLoadedStream` called")}sendProgressiveData(e){unreachable("Abstract method `sendProgressiveData` called")}updatePassword(e){this._password=e}terminate(e){unreachable("Abstract method `terminate` called")}}class LocalPdfManager extends BasePdfManager{constructor(e){super(e);const t=new Stream(e.source);this.pdfDocument=ne\ -w PDFDocument(this,t);this._loadedStreamPromise=Promise.resolve(t)}async ensure(e,t,a){const r=e[t];return"function"==typeof r?r.apply(e,a):r}requestRange(e,t){return Promise.resolve()}requestLoadedStream(e=!1){return this._loadedStreamPromise}terminate(e){}}class NetworkPdfManager extends BasePdfManager{constructor(e){super(e);this.streamManager=new ChunkedStreamManager(e.source,{msgHandler:e.handler,length:e.length,disableAutoFetch:e.disableAutoFetch,rangeChunkSize:e.rangeChunkSize});this.pdfD\ -ocument=new PDFDocument(this,this.streamManager.getStream())}async ensure(e,t,a){try{const r=e[t];return"function"==typeof r?r.apply(e,a):r}catch(r){if(!(r instanceof MissingDataException))throw r;await this.requestRange(r.begin,r.end);return this.ensure(e,t,a)}}requestRange(e,t){return this.streamManager.requestRange(e,t)}requestLoadedStream(e=!1){return this.streamManager.requestAllChunks(e)}sendProgressiveData(e){this.streamManager.onReceiveData({chunk:e})}terminate(e){this.streamManager.abor\ -t(e)}}const Ac=1,kc=2,Cc=1,vc=2,Fc=3,Ic=4,Tc=5,Oc=6,Mc=7,Dc=8;function onFn(){}function wrapReason(e){if(e instanceof AbortException||e instanceof InvalidPDFException||e instanceof PasswordException||e instanceof ResponseException||e instanceof UnknownErrorException)return e;e instanceof Error||"object"==typeof e&&null!==e||unreachable(\'wrapReason: Expected "reason" to be a (possibly cloned) Error.\');switch(e.name){case"AbortException":return new AbortException(e.message);case"InvalidPDFExceptio\ -n":return new InvalidPDFException(e.message);case"PasswordException":return new PasswordException(e.message,e.code);case"ResponseException":return new ResponseException(e.message,e.status,e.missing);case"UnknownErrorException":return new UnknownErrorException(e.message,e.details)}return new UnknownErrorException(e.message,e.toString())}class MessageHandler{#Je=new AbortController;constructor(e,t,a){this.sourceName=e;this.targetName=t;this.comObj=a;this.callbackId=1;this.streamId=1;this.streamSin\ -ks=Object.create(null);this.streamControllers=Object.create(null);this.callbackCapabilities=Object.create(null);this.actionHandler=Object.create(null);a.addEventListener("message",this.#Ye.bind(this),{signal:this.#Je.signal})}#Ye({data:e}){if(e.targetName!==this.sourceName)return;if(e.stream){this.#Ze(e);return}if(e.callback){const t=e.callbackId,a=this.callbackCapabilities[t];if(!a)throw new Error(`Cannot resolve callback ${t}`);delete this.callbackCapabilities[t];if(e.callback===Ac)a.resolve(e\ -.data);else{if(e.callback!==kc)throw new Error("Unexpected callback case");a.reject(wrapReason(e.reason))}return}const t=this.actionHandler[e.action];if(!t)throw new Error(`Unknown action from worker: ${e.action}`);if(e.callbackId){const a=this.sourceName,r=e.sourceName,i=this.comObj;Promise.try(t,e.data).then((function(t){i.postMessage({sourceName:a,targetName:r,callback:Ac,callbackId:e.callbackId,data:t})}),(function(t){i.postMessage({sourceName:a,targetName:r,callback:kc,callbackId:e.callback\ -Id,reason:wrapReason(t)})}))}else e.streamId?this.#Qe(e):t(e.data)}on(e,t){const a=this.actionHandler;if(a[e])throw new Error(`There is already an actionName called "${e}"`);a[e]=t}send(e,t,a){this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,data:t},a)}sendWithPromise(e,t,a){const r=this.callbackId++,i=Promise.withResolvers();this.callbackCapabilities[r]=i;try{this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,callbackId\ -:r,data:t},a)}catch(e){i.reject(e)}return i.promise}sendWithStream(e,t,a,r){const i=this.streamId++,n=this.sourceName,s=this.targetName,o=this.comObj;return new ReadableStream({start:a=>{const c=Promise.withResolvers();this.streamControllers[i]={controller:a,startCall:c,pullCall:null,cancelCall:null,isClosed:!1};o.postMessage({sourceName:n,targetName:s,action:e,streamId:i,data:t,desiredSize:a.desiredSize},r);return c.promise},pull:e=>{const t=Promise.withResolvers();this.streamControllers[i].pul\ -lCall=t;o.postMessage({sourceName:n,targetName:s,stream:Oc,streamId:i,desiredSize:e.desiredSize});return t.promise},cancel:e=>{assert(e instanceof Error,"cancel must have a valid reason");const t=Promise.withResolvers();this.streamControllers[i].cancelCall=t;this.streamControllers[i].isClosed=!0;o.postMessage({sourceName:n,targetName:s,stream:Cc,streamId:i,reason:wrapReason(e)});return t.promise}},a)}#Qe(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this,s=this.actionHan\ -dler[e.action],o={enqueue(e,n=1,s){if(this.isCancelled)return;const o=this.desiredSize;this.desiredSize-=n;if(o>0&&this.desiredSize<=0){this.sinkCapability=Promise.withResolvers();this.ready=this.sinkCapability.promise}i.postMessage({sourceName:a,targetName:r,stream:Ic,streamId:t,chunk:e},s)},close(){if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Fc,streamId:t});delete n.streamSinks[t]}},error(e){assert(e instanceof Error,"error must have a valid reason\ -");if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Tc,streamId:t,reason:wrapReason(e)})}},sinkCapability:Promise.withResolvers(),onPull:null,onCancel:null,isCancelled:!1,desiredSize:e.desiredSize,ready:null};o.sinkCapability.resolve();o.ready=o.sinkCapability.promise;this.streamSinks[t]=o;Promise.try(s,e.data,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetNam\ -e:r,stream:Dc,streamId:t,reason:wrapReason(e)})}))}#Ze(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this.streamControllers[t],s=this.streamSinks[t];switch(e.stream){case Dc:e.success?n.startCall.resolve():n.startCall.reject(wrapReason(e.reason));break;case Mc:e.success?n.pullCall.resolve():n.pullCall.reject(wrapReason(e.reason));break;case Oc:if(!s){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0});break}s.desiredSize<=0&&e.desiredSize>0&&s.sink\ -Capability.resolve();s.desiredSize=e.desiredSize;Promise.try(s.onPull||onFn).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,reason:wrapReason(e)})}));break;case Ic:assert(n,"enqueue should have stream controller");if(n.isClosed)break;n.controller.enqueue(e.chunk);break;case Fc:assert(n,"close should have stream controller");if(n.isClosed)break;n.isClosed=!0;n.controller.close\ -();this.#et(n,t);break;case Tc:assert(n,"error should have stream controller");n.controller.error(wrapReason(e.reason));this.#et(n,t);break;case vc:e.success?n.cancelCall.resolve():n.cancelCall.reject(wrapReason(e.reason));this.#et(n,t);break;case Cc:if(!s)break;const o=wrapReason(e.reason);Promise.try(s.onCancel||onFn,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,reason:\ -wrapReason(e)})}));s.sinkCapability.reject(o);s.isCancelled=!0;delete this.streamSinks[t];break;default:throw new Error("Unexpected stream case")}}async#et(e,t){await Promise.allSettled([e.startCall?.promise,e.pullCall?.promise,e.cancelCall?.promise]);delete this.streamControllers[t]}destroy(){this.#Je?.abort();this.#Je=null}}async function writeObject(e,t,a,{encrypt:r=null}){const i=r?.createCipherTransform(e.num,e.gen);a.push(`${e.num} ${e.gen} obj\\n`);t instanceof Dict?await writeDict(t,a,i):\ -t instanceof BaseStream?await writeStream(t,a,i):(Array.isArray(t)||ArrayBuffer.isView(t))&&await writeArray(t,a,i);a.push("\\nendobj\\n")}async function writeDict(e,t,a){t.push("<<");for(const r of e.getKeys()){t.push(` /${escapePDFName(r)} `);await writeValue(e.getRaw(r),t,a)}t.push(">>")}async function writeStream(e,t,a){let r=e.getBytes();const{dict:i}=e,[n,s]=await Promise.all([i.getAsync("Filter"),i.getAsync("DecodeParms")]),o=isName(Array.isArray(n)?await i.xref.fetchIfRefAsync(n[0]):n,"Fla\ -teDecode");if(r.length>=256||o)try{const e=new CompressionStream("deflate"),t=e.writable.getWriter();await t.ready;t.write(r).then((async()=>{await t.ready;await t.close()})).catch((()=>{}));const a=await new Response(e.readable).arrayBuffer();r=new Uint8Array(a);let c,l;if(n){if(!o){c=Array.isArray(n)?[Name.get("FlateDecode"),...n]:[Name.get("FlateDecode"),n];s&&(l=Array.isArray(s)?[null,...s]:[null,s])}}else c=Name.get("FlateDecode");c&&i.set("Filter",c);l&&i.set("DecodeParms",l)}catch(e){info\ -(`writeStream - cannot compress data: "${e}".`)}let c=bytesToString(r);a&&(c=a.encryptString(c));i.set("Length",c.length);await writeDict(i,t,a);t.push(" stream\\n",c,"\\nendstream")}async function writeArray(e,t,a){t.push("[");let r=!0;for(const i of e){r?r=!1:t.push(" ");await writeValue(i,t,a)}t.push("]")}async function writeValue(e,t,a){if(e instanceof Name)t.push(`/${escapePDFName(e.name)}`);else if(e instanceof Ref)t.push(`${e.num} ${e.gen} R`);else if(Array.isArray(e)||ArrayBuffer.isView(e)\ -)await writeArray(e,t,a);else if("string"==typeof e){a&&(e=a.encryptString(e));t.push(`(${escapeString(e)})`)}else"number"==typeof e?t.push(numberToString(e)):"boolean"==typeof e?t.push(e.toString()):e instanceof Dict?await writeDict(e,t,a):e instanceof BaseStream?await writeStream(e,t,a):null===e?t.push("null"):warn(`Unhandled value in writer: ${typeof e}, please file a bug.`)}function writeInt(e,t,a,r){for(let i=t+a-1;i>a-1;i--){r[i]=255&e;e>>=8}return a+t}function writeString(e,t,a){const r=e\ -.length;for(let i=0;i1&&(n=a.documentElement.searchNode([i.at(-1)],0));n?n.childNodes=Array.isArray(r)?r.map((e=>new\ - SimpleDOMNode("value",e))):[new SimpleDOMNode("#text",r)]:warn(`Node not found for path: ${t}`)}const r=[];a.documentElement.dump(r);return r.join("")}(r.fetchIfRef(t).getString(),a)}const i=new StringStream(e);i.dict=new Dict(r);i.dict.setIfName("Type","EmbeddedFile");a.put(t,{data:i})}function getIndexes(e){const t=[];for(const{ref:a}of e)a.num===t.at(-2)+t.at(-1)?t[t.length-1]+=1:t.push(a.num,1);return t}function computeIDs(e,t,a){if(Array.isArray(t.fileIds)&&t.fileIds.length>0){const r=func\ -tion computeMD5(e,t){const a=Math.floor(Date.now()/1e3),r=t.filename||"",i=[a.toString(),r,e.toString(),...t.infoMap.values()],n=Math.sumPrecise(i.map((e=>e.length))),s=new Uint8Array(n);let o=0;for(const e of i)o=writeString(e,o,s);return bytesToString(calculateMD5(s,0,s.length))}(e,t);a.set("ID",[t.fileIds[0],r])}}async function incrementalUpdate({originalData:e,xrefInfo:t,changes:a,xref:r=null,hasXfa:i=!1,xfaDatasetsRef:n=null,hasXfaDatasetsEntry:s=!1,needAppearances:o,acroFormRef:c=null,acro\ -Form:l=null,xfaData:h=null,useXrefStream:u=!1}){await async function updateAcroform({xref:e,acroForm:t,acroFormRef:a,hasXfa:r,hasXfaDatasetsEntry:i,xfaDatasetsRef:n,needAppearances:s,changes:o}){!r||i||n||warn("XFA - Cannot save it");if(!s&&(!r||!n||i))return;const c=t.clone();if(r&&!i){const e=t.get("XFA").slice();e.splice(2,0,"datasets");e.splice(3,0,n);c.set("XFA",e)}s&&c.set("NeedAppearances",!0);o.put(a,{data:c})}({xref:r,acroForm:l,acroFormRef:c,hasXfa:i,hasXfaDatasetsEntry:s,xfaDatasetsRe\ -f:n,needAppearances:o,changes:a});i&&updateXFA({xfaData:h,xfaDatasetsRef:n,changes:a,xref:r});const d=function getTrailerDict(e,t,a){const r=new Dict(null);r.set("Prev",e.startXRef);const i=e.newRef;if(a){t.put(i,{data:""});r.set("Size",i.num+1);r.setIfName("Type","XRef")}else r.set("Size",i.num);null!==e.rootRef&&r.set("Root",e.rootRef);null!==e.infoRef&&r.set("Info",e.infoRef);null!==e.encryptRef&&r.set("Encrypt",e.encryptRef);return r}(t,a,u),f=[],g=await async function writeChanges(e,t,a=[])\ -{const r=[];for(const[i,{data:n}]of e.items())if(null!==n&&"string"!=typeof n){await writeObject(i,n,a,t);r.push({ref:i,data:a.join("")});a.length=0}else r.push({ref:i,data:n});return r.sort(((e,t)=>e.ref.num-t.ref.num))}(a,r,f);let p=e.length;const m=e.at(-1);if(10!==m&&13!==m){f.push("\\n");p+=1}for(const{data:e}of g)null!==e&&f.push(e);await(u?async function getXRefStreamTable(e,t,a,r,i){const n=[];let s=0,o=0;for(const{ref:e,data:r}of a){let a;s=Math.max(s,t);if(null!==r){a=Math.min(e.gen,655\ -35);n.push([1,t,a]);t+=r.length}else{a=Math.min(e.gen+1,65535);n.push([0,0,a])}o=Math.max(o,a)}r.set("Index",getIndexes(a));const c=[1,getSizeInBytes(s),getSizeInBytes(o)];r.set("W",c);computeIDs(t,e,r);const l=Math.sumPrecise(c),h=new Uint8Array(l*n.length),u=new Stream(h);u.dict=r;let d=0;for(const[e,t,a]of n){d=writeInt(e,c[0],d,h);d=writeInt(t,c[1],d,h);d=writeInt(a,c[2],d,h)}await writeObject(e.newRef,u,i,{});i.push("startxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f):async function getXRefT\ -able(e,t,a,r,i){i.push("xref\\n");const n=getIndexes(a);let s=0;for(const{ref:e,data:r}of a){if(e.num===n[s]){i.push(`${n[s]} ${n[s+1]}\\n`);s+=2}if(null!==r){i.push(`${t.toString().padStart(10,"0")} ${Math.min(e.gen,65535).toString().padStart(5,"0")} n\\r\\n`);t+=r.length}else i.push(`0000000000 ${Math.min(e.gen+1,65535).toString().padStart(5,"0")} f\\r\\n`)}computeIDs(t,e,r);i.push("trailer\\n");await writeDict(r,i);i.push("\\nstartxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f));const b=e.length+Math.s\ -umPrecise(f.map((e=>e.length))),y=new Uint8Array(b);y.set(e);let w=e.length;for(const e of f)w=writeString(e,w,y);return y}class PDFWorkerStream{constructor(e){this._msgHandler=e;this._contentLength=null;this._fullRequestReader=null;this._rangeRequestReaders=[]}getFullReader(){assert(!this._fullRequestReader,"PDFWorkerStream.getFullReader can only be called once.");this._fullRequestReader=new PDFWorkerStreamReader(this._msgHandler);return this._fullRequestReader}getRangeReader(e,t){const a=new P\ -DFWorkerStreamRangeReader(e,t,this._msgHandler);this._rangeRequestReaders.push(a);return a}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class PDFWorkerStreamReader{constructor(e){this._msgHandler=e;this.onProgress=null;this._contentLength=null;this._isRangeSupported=!1;this._isStreamingSupported=!1;const t=this._msgHandler.sendWithStream("GetReader");this._reader=t.getReader();this._headersReady=this._msgHandler.sendWithPr\ -omise("ReaderHeadersReady").then((e=>{this._isStreamingSupported=e.isStreamingSupported;this._isRangeSupported=e.isRangeSupported;this._contentLength=e.contentLength}))}get headersReady(){return this._headersReady}get contentLength(){return this._contentLength}get isStreamingSupported(){return this._isStreamingSupported}get isRangeSupported(){return this._isRangeSupported}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(\ -e){this._reader.cancel(e)}}class PDFWorkerStreamRangeReader{constructor(e,t,a){this._msgHandler=a;this.onProgress=null;const r=this._msgHandler.sendWithStream("GetRangeReader",{begin:e,end:t});this._reader=r.getReader()}get isStreamingSupported(){return!1}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class WorkerTask{constructor(e){this.name=e;this.terminated=!1;this._capability=Promise.with\ -Resolvers()}get finished(){return this._capability.promise}finish(){this._capability.resolve()}terminate(){this.terminated=!0}ensureNotTerminated(){if(this.terminated)throw new Error("Worker task was terminated")}}class WorkerMessageHandler{static{"undefined"==typeof window&&!e&&"undefined"!=typeof self&&"function"==typeof self.postMessage&&"onmessage"in self&&this.initializeFromPort(self)}static setup(e,t){let a=!1;e.on("test",(t=>{if(!a){a=!0;e.send("test",t instanceof Uint8Array)}}));e.on("co\ -nfigure",(e=>{!function setVerbosityLevel(e){Number.isInteger(e)&&(da=e)}(e.verbosity)}));e.on("GetDocRequest",(e=>this.createDocumentHandler(e,t)))}static createDocumentHandler(e,t){let a,r=!1,i=null;const n=new Set,s=getVerbosityLevel(),{docId:o,apiVersion:c}=e,l="5.4.54";if(c!==l)throw new Error(`The API version "${c}" does not match the Worker version "${l}".`);const buildMsg=(e,t)=>`The \\`${e}.prototype\\` contains unexpected enumerable property "${t}", thus breaking e.g. \\`for...in\\` iterat\ -ion of ${e}s.`;for(const e in{})throw new Error(buildMsg("Object",e));for(const e in[])throw new Error(buildMsg("Array",e));const h=o+"_worker";let u=new MessageHandler(h,o,t);function ensureNotTerminated(){if(r)throw new Error("Worker was terminated")}function startWorkerTask(e){n.add(e)}function finishWorkerTask(e){e.finish();n.delete(e)}async function loadDocument(e){await a.ensureDoc("checkHeader");await a.ensureDoc("parseStartXRef");await a.ensureDoc("parse",[e]);await a.ensureDoc("checkFir\ -stPage",[e]);await a.ensureDoc("checkLastPage",[e]);const t=await a.ensureDoc("isPureXfa");if(t){const e=new WorkerTask("loadXfaResources");startWorkerTask(e);await a.ensureDoc("loadXfaResources",[u,e]);finishWorkerTask(e)}const[r,i]=await Promise.all([a.ensureDoc("numPages"),a.ensureDoc("fingerprints")]);return{numPages:r,fingerprints:i,htmlForXfa:t?await a.ensureDoc("htmlForXfa"):null}}function setupDoc(e){function onSuccess(e){ensureNotTerminated();u.send("GetDoc",{pdfInfo:e})}function onFail\ -ure(e){ensureNotTerminated();if(e instanceof PasswordException){const t=new WorkerTask(`PasswordException: response ${e.code}`);startWorkerTask(t);u.sendWithPromise("PasswordRequest",e).then((function({password:e}){finishWorkerTask(t);a.updatePassword(e);pdfManagerReady()})).catch((function(){finishWorkerTask(t);u.send("DocException",e)}))}else u.send("DocException",wrapReason(e))}function pdfManagerReady(){ensureNotTerminated();loadDocument(!1).then(onSuccess,(function(e){ensureNotTerminated();\ -e instanceof XRefParseException?a.requestLoadedStream().then((function(){ensureNotTerminated();loadDocument(!0).then(onSuccess,onFailure)})):onFailure(e)}))}ensureNotTerminated();(async function getPdfManager({data:e,password:t,disableAutoFetch:a,rangeChunkSize:r,length:n,docBaseUrl:s,enableXfa:c,evaluatorOptions:l}){const h={source:null,disableAutoFetch:a,docBaseUrl:s,docId:o,enableXfa:c,evaluatorOptions:l,handler:u,length:n,password:t,rangeChunkSize:r};if(e){h.source=e;return new LocalPdfManag\ -er(h)}const d=new PDFWorkerStream(u),f=d.getFullReader(),g=Promise.withResolvers();let p,m=[],b=0;f.headersReady.then((function(){if(f.isRangeSupported){h.source=d;h.length=f.contentLength;h.disableAutoFetch||=f.isStreamingSupported;p=new NetworkPdfManager(h);for(const e of m)p.sendProgressiveData(e);m=[];g.resolve(p);i=null}})).catch((function(e){g.reject(e);i=null}));new Promise((function(e,t){const readChunk=function({value:e,done:a}){try{ensureNotTerminated();if(a){if(!p){const e=arrayBuffer\ -sToBytes(m);m=[];n&&e.length!==n&&warn("reported HTTP length is different from actual");h.source=e;p=new LocalPdfManager(h);g.resolve(p)}i=null;return}b+=e.byteLength;f.isStreamingSupported||u.send("DocProgress",{loaded:b,total:Math.max(b,f.contentLength||0)});p?p.sendProgressiveData(e):m.push(e);f.read().then(readChunk,t)}catch(e){t(e)}};f.read().then(readChunk,t)})).catch((function(e){g.reject(e);i=null}));i=e=>{d.cancelAllRequests(e)};return g.promise})(e).then((function(e){if(r){e.terminate(\ -new AbortException("Worker was terminated."));throw new Error("Worker was terminated")}a=e;a.requestLoadedStream(!0).then((e=>{u.send("DataLoaded",{length:e.bytes.byteLength})}))})).then(pdfManagerReady,onFailure)}u.on("GetPage",(function(e){return a.getPage(e.pageIndex).then((function(e){return Promise.all([a.ensure(e,"rotate"),a.ensure(e,"ref"),a.ensure(e,"userUnit"),a.ensure(e,"view")]).then((function([e,t,a,r]){return{rotate:e,ref:t,refStr:t?.toString()??null,userUnit:a,view:r}}))}))}));u.on\ -("GetPageIndex",(function(e){const t=Ref.get(e.num,e.gen);return a.ensureCatalog("getPageIndex",[t])}));u.on("GetDestinations",(function(e){return a.ensureCatalog("destinations")}));u.on("GetDestination",(function(e){return a.ensureCatalog("getDestination",[e.id])}));u.on("GetPageLabels",(function(e){return a.ensureCatalog("pageLabels")}));u.on("GetPageLayout",(function(e){return a.ensureCatalog("pageLayout")}));u.on("GetPageMode",(function(e){return a.ensureCatalog("pageMode")}));u.on("GetViewe\ -rPreferences",(function(e){return a.ensureCatalog("viewerPreferences")}));u.on("GetOpenAction",(function(e){return a.ensureCatalog("openAction")}));u.on("GetAttachments",(function(e){return a.ensureCatalog("attachments")}));u.on("GetDocJSActions",(function(e){return a.ensureCatalog("jsActions")}));u.on("GetPageJSActions",(function({pageIndex:e}){return a.getPage(e).then((e=>a.ensure(e,"jsActions")))}));u.on("GetOutline",(function(e){return a.ensureCatalog("documentOutline")}));u.on("GetOptionalC\ -ontentConfig",(function(e){return a.ensureCatalog("optionalContentConfig")}));u.on("GetPermissions",(function(e){return a.ensureCatalog("permissions")}));u.on("GetMetadata",(function(e){return Promise.all([a.ensureDoc("documentInfo"),a.ensureCatalog("metadata")])}));u.on("GetMarkInfo",(function(e){return a.ensureCatalog("markInfo")}));u.on("GetData",(function(e){return a.requestLoadedStream().then((e=>e.bytes))}));u.on("GetAnnotations",(function({pageIndex:e,intent:t}){return a.getPage(e).then((\ -function(a){const r=new WorkerTask(`GetAnnotations: page ${e}`);startWorkerTask(r);return a.getAnnotationsData(u,r,t).then((e=>{finishWorkerTask(r);return e}),(e=>{finishWorkerTask(r);throw e}))}))}));u.on("GetFieldObjects",(function(e){return a.ensureDoc("fieldObjects").then((e=>e?.allFields||null))}));u.on("HasJSActions",(function(e){return a.ensureDoc("hasJSActions")}));u.on("GetCalculationOrderIds",(function(e){return a.ensureDoc("calculationOrderIds")}));u.on("SaveDocument",(async function(\ -{isPureXfa:e,numPages:t,annotationStorage:r,filename:i}){const n=[a.requestLoadedStream(),a.ensureCatalog("acroForm"),a.ensureCatalog("acroFormRef"),a.ensureDoc("startXRef"),a.ensureDoc("xref"),a.ensureDoc("linearization"),a.ensureCatalog("structTreeRoot")],s=new RefSetCache,o=[],c=e?null:getNewAnnotationsMap(r),[l,h,d,f,g,p,m]=await Promise.all(n),b=g.trailer.getRaw("Root")||null;let y;if(c){m?await m.canUpdateStructTree({pdfManager:a,newAnnotationsByPage:c})&&(y=m):await StructTreeRoot.canCrea\ -teStructureTree({catalogRef:b,pdfManager:a,newAnnotationsByPage:c})&&(y=null);const e=AnnotationFactory.generateImages(r.values(),g,a.evaluatorOptions.isOffscreenCanvasSupported),t=void 0===y?o:[];for(const[r,i]of c)t.push(a.getPage(r).then((t=>{const a=new WorkerTask(`Save (editor): page ${r}`);startWorkerTask(a);return t.saveNewAnnotations(u,a,i,e,s).finally((function(){finishWorkerTask(a)}))})));null===y?o.push(Promise.all(t).then((async()=>{await StructTreeRoot.createStructureTree({newAnnota\ -tionsByPage:c,xref:g,catalogRef:b,pdfManager:a,changes:s})}))):y&&o.push(Promise.all(t).then((async()=>{await y.updateStructureTree({newAnnotationsByPage:c,pdfManager:a,changes:s})})))}if(e)o.push(a.ensureDoc("serializeXfaData",[r]));else for(let e=0;ee.needAppearances)),k=h instanceof Dict&&h.get("XFA")||null;let C=null,v=!1;if(Array.isArray(k)){for(let e=0,t=k.length;e{g.resetNewTemporaryRef()}))}));u.on("GetOpera\ -torList",(function(e,t){const r=e.pageIndex;a.getPage(r).then((function(a){const i=new WorkerTask(`GetOperatorList: page ${r}`);startWorkerTask(i);const n=s>=Ae?Date.now():0;a.getOperatorList({handler:u,sink:t,task:i,intent:e.intent,cacheKey:e.cacheKey,annotationStorage:e.annotationStorage,modifiedIds:e.modifiedIds}).then((function(e){finishWorkerTask(i);n&&info(`page=${r+1} - getOperatorList: time=${Date.now()-n}ms, len=${e.length}`);t.close()}),(function(e){finishWorkerTask(i);i.terminated||t.\ -error(e)}))}))}));u.on("GetTextContent",(function(e,t){const{pageIndex:r,includeMarkedContent:i,disableNormalization:n}=e;a.getPage(r).then((function(e){const a=new WorkerTask("GetTextContent: page "+r);startWorkerTask(a);const o=s>=Ae?Date.now():0;e.extractTextContent({handler:u,task:a,sink:t,includeMarkedContent:i,disableNormalization:n}).then((function(){finishWorkerTask(a);o&&info(`page=${r+1} - getTextContent: time=`+(Date.now()-o)+"ms");t.close()}),(function(e){finishWorkerTask(a);a.termin\ -ated||t.error(e)}))}))}));u.on("GetStructTree",(function(e){return a.getPage(e.pageIndex).then((e=>a.ensure(e,"getStructTree")))}));u.on("FontFallback",(function(e){return a.fontFallback(e.id,u)}));u.on("Cleanup",(function(e){return a.cleanup(!0)}));u.on("Terminate",(function(e){r=!0;const t=[];if(a){a.terminate(new AbortException("Worker was terminated."));const e=a.cleanup();t.push(e);a=null}else clearGlobalCaches();i?.(new AbortException("Worker was terminated."));for(const e of n){t.push(e.f\ -inished);e.terminate()}return Promise.all(t).then((function(){u.destroy();u=null}))}));u.on("Ready",(function(t){setupDoc(e);e=null}));return h}static initializeFromPort(e){const t=new MessageHandler("worker","main",e);this.setup(t,e);t.send("ready",null)}}globalThis.pdfjsWorker={WorkerMessageHandler};export{WorkerMessageHandler};',pdf_worker_min$1=Object.freeze(Object.defineProperty({__proto__:null,default:pdf_worker_min},Symbol.toStringTag,{value:"Module"}));export{app,start}; +gap-0 border-muted bg-muted/30 py-0",children:($$anchor4,$$slotProps2)=>{var fragment_2=root_2$J(),node_1=first_child(fragment_2);component(node_1,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5,{class:"flex w-full cursor-pointer items-center justify-between p-3",children:($$anchor6,$$slotProps3)=>{var fragment_3=root_3$B(),div=first_child(fragment_3),node_2=child(div);{var consequent=$$anchor7=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component( +node_3,()=>$$props.icon,($$anchor8,IconComponent_1)=>{IconComponent_1($$anchor8,{get class(){return iconClass()}})}),append($$anchor7,fragment_4)};if_block(node_2,$$render=>{$$props.icon&&$$render(consequent)})}var span=sibling(node_2,2),text2=child(span,!0);reset(span);var node_4=sibling(span,2);{var consequent_1=$$anchor7=>{var span_1=root_5$h(),text_1=child(span_1,!0);reset(span_1),template_effect(()=>set_text(text_1,$$props.subtitle)),append($$anchor7,span_1)};if_block(node_4,$$render=>{$$props. +subtitle&&$$render(consequent_1)})}reset(div);var div_1=sibling(div,2),node_5=child(div_1);Chevrons_up_down(node_5,{class:"h-4 w-4"}),next$1(2),reset(div_1),template_effect($0=>{set_text(text2,$$props.title),set_class(div_1,1,$0)},[()=>clsx(buttonVariants({variant:"ghost",size:"sm",class:"h-6 w-6 p-0 text-muted-foreground hover:text-foreground"}))]),append($$anchor6,fragment_3)},$$slots:{default:!0}})});var node_6=sibling(node_1,2);component(node_6,()=>Collapsible_content,($$anchor5,Collapsible_Content)=>{ +Collapsible_Content($$anchor5,{children:($$anchor6,$$slotProps3)=>{var div_2=root_6$j(),node_7=child(div_2);snippet(node_7,()=>$$props.children),reset(div_2),bind_this(div_2,$$value=>set$1(contentContainer,$$value),()=>get$3(contentContainer)),event("scroll",div_2,handleScroll),append($$anchor6,div_2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}function Dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop( +$$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-lg leading-none font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,DialogPrimitive_Title)=>{DialogPrimitive_Title($$anchor2,spread_props({"data-slot":"dialog-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor, +fragment),pop()}var root$R=from_html("
          ");function Dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$R();attribute_effect(div,$0=>({"data-slot":"dialog-footer",class:$0,...restProps}),[()=>cn$1("flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this( +div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$Q=from_html("
          ");function Dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$Q();attribute_effect(div,$0=>({"data-slot":"dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props. +children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards da\ +ta-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,DialogPrimitive_Overlay)=>{DialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"dialog-overlay",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_4$o=from_html(' Close',1),root_2$I=from_html(" ",1),root_1$s=from_html(" ",1);function Dialog_content($$anchor,$$props){ +push$1($$props,!0);let ref2=prop($$props,"ref",15,null),showCloseButton=prop($$props,"showCloseButton",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","portalProps","children","showCloseButton"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$1,($$anchor2,Dialog_Portal)=>{Dialog_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$s(),node_1=first_child(fragment_1);component( +node_1,()=>Dialog_overlay,($$anchor4,Dialog_Overlay)=>{Dialog_Overlay($$anchor4,{})});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed top-[50%] left-[50%] z-50 grid max-h-[100dvh] w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 overflow-y-auto rounded-lg border border-border/30 bg-background p-6 shadow-lg duration-200 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 d\ +ata-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 sm:max-w-lg md:max-h-[100vh]",$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,DialogPrimitive_Content)=>{DialogPrimitive_Content($$anchor4,spread_props({"data-slot":"dialog-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$I(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props. +children??noop$3);var node_4=sibling(node_3,2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);component(node_5,()=>Dialog_close,($$anchor7,DialogPrimitive_Close)=>{DialogPrimitive_Close($$anchor7,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:ring-2 focus:ring-ring focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:n\ +ot([class*='size-'])]:size-4",children:($$anchor8,$$slotProps3)=>{var fragment_4=root_4$o(),node_6=first_child(fragment_4);X(node_6,{}),next$1(2),append($$anchor8,fragment_4)},$$slots:{default:!0}})}),append($$anchor6,fragment_3)};if_block(node_4,$$render=>{showCloseButton()&&$$render(consequent)})}append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Dialog_description($$anchor,$$props){push$1($$props, +!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,DialogPrimitive_Description)=>{DialogPrimitive_Description($$anchor2,spread_props({"data-slot":"dialog-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ +ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$2=Dialog,Portal$1=Portal$2;var root_1$r=from_html(" Add New Server",1),root_2$H=from_html('
          No MCP Servers configured yet. Add one to enable agentic features.
          '),root_3$A=from_html('
          '),root$P=from_html('

          MCP Servers

          ');function SettingsMcpServers($$anchor,$$props){push$1($$props,!0);let servers=user_derived(()=>mcpStore.getServersSorted()),initialLoadComplete=state$1(!1),isAddingServer=state$1(!1);onMount$1( +()=>{if(page$1.url.searchParams.has("add")){set$1(isAddingServer,!0);const newUrl=new URL(page$1.url);newUrl.searchParams.delete("add"),replaceState(newUrl,{})}}),user_effect(()=>{if(get$3(initialLoadComplete))return;get$3(servers).length>0&&get$3(servers).every(server=>{const state2=mcpStore.getHealthCheckState(server.id);return state2.status===HealthCheckStatus.SUCCESS||state2.status===HealthCheckStatus.ERROR})&&set$1(initialLoadComplete,!0)});var div=root$P(),div_1=child(div),node2=child(div_1); +McpLogo(node2,{class:"h-5 w-5 md:h-6 md:w-6"}),next$1(2),reset(div_1);var div_2=sibling(div_1,2),node_1=child(div_2);Button(node_1,{variant:"outline",size:"sm",class:"shrink-0",onclick:()=>set$1(isAddingServer,!0),children:($$anchor2,$$slotProps)=>{var fragment=root_1$r(),node_2=first_child(fragment);Plus(node_2,{class:"h-4 w-4"}),next$1(),append($$anchor2,fragment)},$$slots:{default:!0}}),reset(div_2);var node_3=sibling(div_2,2);DialogMcpServerAddNew(node_3,{get open(){return get$3(isAddingServer)}, +set open($$value){set$1(isAddingServer,$$value,!0)}});var div_3=sibling(node_3,2),node_4=child(div_3);{var consequent=$$anchor2=>{var div_4=root_2$H();append($$anchor2,div_4)};if_block(node_4,$$render=>{get$3(servers).length===0&&!get$3(isAddingServer)&&$$render(consequent)})}var node_5=sibling(node_4,2);{var consequent_2=$$anchor2=>{var div_5=root_3$A();each(div_5,21,()=>get$3(servers),server=>server.id,($$anchor3,server)=>{var fragment_1=comment$2(),node_6=first_child(fragment_1);{var consequent_1=$$anchor4=>{ +McpServerCardSkeleton($$anchor4)},alternate=$$anchor4=>{{let $0=user_derived(()=>conversationsStore.isMcpServerEnabledForChat(get$3(server).id));McpServerCard($$anchor4,{get server(){return get$3(server)},get enabled(){return get$3($0)},onToggle:async()=>{const wasEnabled=conversationsStore.isMcpServerEnabledForChat(get$3(server).id);await conversationsStore.toggleMcpServerForChat(get$3(server).id),wasEnabled||toolsStore.enableAllToolsForServer(get$3(server).id)},onUpdate:updates=>mcpStore.updateServer( +get$3(server).id,updates),onDelete:()=>mcpStore.removeServer(get$3(server).id)})}};if_block(node_6,$$render=>{get$3(initialLoadComplete)?$$render(alternate,-1):$$render(consequent_1)})}append($$anchor3,fragment_1)}),reset(div_5),append($$anchor2,div_5)};if_block(node_5,$$render=>{get$3(servers).length>0&&$$render(consequent_2)})}reset(div_3),reset(div),template_effect(()=>set_class(div_3,1,`grid gap-5 md:space-y-4 ${$$props.class??""}`)),transition(1,div,()=>fade,()=>({duration:150})),append($$anchor, +div),pop()}delegate(["click"]);var root_3$z=from_html(" Tools",1),root_5$g=from_html(" Resources",1),root_7$g=from_html(" Prompts",1),root_9$c=from_html(" Logging",1),root_11$7=from_html(" Completions",1),root_13$7=from_html(" Tasks",1),root_1$q=from_html(" ",1);function McpCapabilitiesBadges($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent_6=$$anchor2=>{var fragment_1=root_1$q(),node_1=first_child(fragment_1); +{var consequent=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-green-50 px-1.5 text-[10px] dark:bg-green-950",children:($$anchor4,$$slotProps)=>{var fragment_3=root_3$z(),node_2=first_child(fragment_3);Wrench(node_2,{class:"h-3 w-3 text-green-600 dark:text-green-400"}),next$1(),append($$anchor4,fragment_3)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.capabilities.server.tools&&$$render(consequent)})}var node_3=sibling(node_1,2);{var consequent_1=$$anchor3=>{Badge( +$$anchor3,{variant:"outline",class:"h-5 gap-1 bg-blue-50 px-1.5 text-[10px] dark:bg-blue-950",children:($$anchor4,$$slotProps)=>{var fragment_5=root_5$g(),node_4=first_child(fragment_5);Database(node_4,{class:"h-3 w-3 text-blue-600 dark:text-blue-400"}),next$1(),append($$anchor4,fragment_5)},$$slots:{default:!0}})};if_block(node_3,$$render=>{$$props.capabilities.server.resources&&$$render(consequent_1)})}var node_5=sibling(node_3,2);{var consequent_2=$$anchor3=>{Badge($$anchor3,{variant:"outline", +class:"h-5 gap-1 bg-purple-50 px-1.5 text-[10px] dark:bg-purple-950",children:($$anchor4,$$slotProps)=>{var fragment_7=root_7$g(),node_6=first_child(fragment_7);Message_square(node_6,{class:"h-3 w-3 text-purple-600 dark:text-purple-400"}),next$1(),append($$anchor4,fragment_7)},$$slots:{default:!0}})};if_block(node_5,$$render=>{$$props.capabilities.server.prompts&&$$render(consequent_2)})}var node_7=sibling(node_5,2);{var consequent_3=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-\ +1 bg-orange-50 px-1.5 text-[10px] dark:bg-orange-950",children:($$anchor4,$$slotProps)=>{var fragment_9=root_9$c(),node_8=first_child(fragment_9);File_text(node_8,{class:"h-3 w-3 text-orange-600 dark:text-orange-400"}),next$1(),append($$anchor4,fragment_9)},$$slots:{default:!0}})};if_block(node_7,$$render=>{$$props.capabilities.server.logging&&$$render(consequent_3)})}var node_9=sibling(node_7,2);{var consequent_4=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-cyan-50 px-1.5 \ +text-[10px] dark:bg-cyan-950",children:($$anchor4,$$slotProps)=>{var fragment_11=root_11$7(),node_10=first_child(fragment_11);Sparkles(node_10,{class:"h-3 w-3 text-cyan-600 dark:text-cyan-400"}),next$1(),append($$anchor4,fragment_11)},$$slots:{default:!0}})};if_block(node_9,$$render=>{$$props.capabilities.server.completions&&$$render(consequent_4)})}var node_11=sibling(node_9,2);{var consequent_5=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-pink-50 px-1.5 text-[10px] dark:b\ +g-pink-950",children:($$anchor4,$$slotProps)=>{var fragment_13=root_13$7(),node_12=first_child(fragment_13);List_checks(node_12,{class:"h-3 w-3 text-pink-600 dark:text-pink-400"}),next$1(),append($$anchor4,fragment_13)},$$slots:{default:!0}})};if_block(node_11,$$render=>{$$props.capabilities.server.tasks&&$$render(consequent_5)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.capabilities&&$$render(consequent_6)})}append($$anchor,fragment),pop()}var root_6$i=from_html(' '),root_3$y=from_html(" ",1),root_9$b=from_html('
          details
          '),root_8$i=from_html('
          ',1),root_7$f=from_html('
          '),root_2$G=from_html('
          ',1);function McpConnectionLogs($$anchor,$$props){push$1($$props,!0);let defaultExpanded=prop($$props,"defaultExpanded",3,!1),isExpanded=user_derived(defaultExpanded);function formatLogDetails(details){if(details==null)return"";try{return JSON.stringify(details,null,2)}catch{return String(details)}}var fragment=comment$2(),node2=first_child(fragment); +{var consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor3,Collapsible_Root)=>{Collapsible_Root($$anchor3,{get class(){return $$props.class},get open(){return get$3(isExpanded)},set open($$value){set$1(isExpanded,$$value)},children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$G(),div=first_child(fragment_2),node_2=child(div);component(node_2,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5, +{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_3=root_3$y(),node_3=first_child(fragment_3);{var consequent=$$anchor7=>{Chevron_down($$anchor7,{class:"h-3.5 w-3.5"})},alternate=$$anchor7=>{Chevron_right($$anchor7,{class:"h-3.5 w-3.5"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render(consequent):$$render(alternate,-1)})}var span=sibling(node_3,2),text2=child(span);reset(span);var node_4=sibling(span, +2);{var consequent_1=$$anchor7=>{var span_1=root_6$i(),text_1=child(span_1);reset(span_1),template_effect(()=>set_text(text_1,`· Connected in ${$$props.connectionTimeMs??""}ms`)),append($$anchor7,span_1)};if_block(node_4,$$render=>{$$props.connectionTimeMs!==void 0&&$$render(consequent_1)})}template_effect(()=>set_text(text2,`Connection Log (${$$props.logs.length??""})`)),append($$anchor6,fragment_3)},$$slots:{default:!0}})}),reset(div);var node_5=sibling(div,2);component(node_5,()=>Collapsible_content, +($$anchor5,Collapsible_Content)=>{Collapsible_Content($$anchor5,{class:"mt-2",children:($$anchor6,$$slotProps2)=>{var div_1=root_7$f();each(div_1,21,()=>$$props.logs,log=>log.timestamp.getTime()+log.message,($$anchor7,log)=>{const IconComponent=user_derived(()=>getMcpLogLevelIcon(get$3(log).level));var fragment_6=root_8$i(),div_2=first_child(fragment_6),span_2=child(div_2),text_2=child(span_2,!0);reset(span_2);var node_6=sibling(span_2,2);component(node_6,()=>get$3(IconComponent),($$anchor8,IconComponent_1)=>{ +IconComponent_1($$anchor8,{class:"mt-0.5 h-3 w-3 shrink-0"})});var span_3=sibling(node_6,2),text_3=child(span_3,!0);reset(span_3),reset(div_2);var node_7=sibling(div_2,2);{var consequent_2=$$anchor8=>{var details_1=root_9$b(),pre=sibling(child(details_1),2),text_4=child(pre,!0);reset(pre),reset(details_1),template_effect($0=>set_text(text_4,$0),[()=>formatLogDetails(get$3(log).details)]),append($$anchor8,details_1)};if_block(node_7,$$render=>{get$3(log).details!==void 0&&$$render(consequent_2)})} +template_effect(($0,$1)=>{set_class(div_2,1,$0),set_text(text_2,$1),set_text(text_3,get$3(log).message)},[()=>clsx(["flex items-start gap-1.5",getMcpLogLevelClass(get$3(log).level)]),()=>formatTime(get$3(log).timestamp)]),append($$anchor7,fragment_6)}),reset(div_1),append($$anchor6,div_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.logs.length>0&&$$render(consequent_3)})}append($$anchor,fragment), +pop()}var root_1$p=from_html('

          '),root_3$x=from_html('(Run 
          llama-server
          with 
          --webui-mcp-proxy
          flag)          '),root_2$F=from_html(''),root$O=from_html('
          ');function McpServerForm($$anchor,$$props){push$1($$props,!0);let useProxy=prop($$props,"useProxy",3,!1),urlError=prop($$props,"urlError",3,null),id2=prop($$props,"id",3,"server"),isWebSocket=user_derived(()=>$$props.url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET)||$$props.url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET_SECURE)),headerPairs=user_derived(()=>parseHeadersToArray($$props.headers));function updateHeaderPairs(newPairs){ +set$1(headerPairs,newPairs),$$props.onHeadersChange(serializeHeaders(newPairs))}var div=root$O(),div_1=child(div),label=child(div_1),node2=sibling(label,2);{let $0=user_derived(()=>urlError()?"border-destructive":"");Input(node2,{get id(){return`server-url-${id2()??""}`},type:"url",get placeholder(){return MCP_SERVER_URL_PLACEHOLDER},get value(){return $$props.url},oninput:e=>$$props.onUrlChange(e.currentTarget.value),get class(){return get$3($0)}})}var node_1=sibling(node2,2);{var consequent=$$anchor2=>{ +var p2=root_1$p(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,urlError())),append($$anchor2,p2)};if_block(node_1,$$render=>{urlError()&&$$render(consequent)})}var node_2=sibling(node_1,2);{var consequent_2=$$anchor2=>{var label_1=root_2$F(),node_3=child(label_1);{let $0=user_derived(()=>!mcpStore.isProxyAvailable);Switch(node_3,{class:"mt-1",get id(){return`use-proxy-${id2()??""}`},get checked(){return useProxy()},get disabled(){return get$3($0)},onCheckedChange:checked=>$$props. +onUseProxyChange?.(checked)})}var span=sibling(node_3,2),node_4=sibling(child(span),4);{var consequent_1=$$anchor3=>{var span_1=root_3$x();append($$anchor3,span_1)};if_block(node_4,$$render=>{mcpStore.isProxyAvailable||$$render(consequent_1)})}reset(span),reset(label_1),template_effect(()=>set_class(label_1,1,clsx(["mt-3 flex items-start gap-2",mcpStore.isProxyAvailable&&"cursor-pointer",!mcpStore.isProxyAvailable&&"opacity-80"]))),append($$anchor2,label_1)};if_block(node_2,$$render=>{!get$3(isWebSocket)&& +$$props.onUseProxyChange&&$$render(consequent_2)})}reset(div_1);var node_5=sibling(div_1,2);KeyValuePairs(node_5,{class:"mt-2",get pairs(){return get$3(headerPairs)},onPairsChange:updateHeaderPairs,keyPlaceholder:"Header name",valuePlaceholder:"Value",addButtonLabel:"Add",emptyMessage:"No custom headers configured.",sectionLabel:"Custom Headers",sectionLabelOptional:!0}),reset(div),template_effect(()=>set_attribute(label,"for",`server-url-${id2()??""}`)),append($$anchor,div),pop()}var root$N=from_html( +"
          ");function Skeleton($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var div=root$N();attribute_effect(div,$0=>({"data-slot":"skeleton",class:$0,...restProps}),[()=>cn$1("animate-pulse rounded-md bg-accent",$$props.class)]),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_4$n=from_html('

          '),root_5$f=from_html( +'

          '),root_6$h=from_html('
          ',1),root_7$e=from_html(" ",1),root_12$7=from_html('
          '),root_3$w=from_html(' \ +
          ',1),root$M=from_html(" ",1);function McpServerCard($$anchor,$$props){push$1($$props,!0);let healthState=user_derived(()=>mcpStore.getHealthCheckState($$props.server.id)),displayName=user_derived(()=>mcpStore.getServerLabel($$props.server)),faviconUrl=user_derived(()=>mcpStore.getServerFavicon($$props.server.id)),isIdle=user_derived(()=>get$3(healthState).status===HealthCheckStatus.IDLE),isHealthChecking=user_derived( +()=>get$3(healthState).status===HealthCheckStatus.CONNECTING),isConnected=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS),isError=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR),showSkeleton=user_derived(()=>get$3(isIdle)||get$3(isHealthChecking)),errorMessage=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR?get$3(healthState).message:void 0),tools=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS?get$3(healthState). +tools:[]),connectionLogs=user_derived(()=>get$3(healthState).status===HealthCheckStatus.CONNECTING||get$3(healthState).status===HealthCheckStatus.SUCCESS||get$3(healthState).status===HealthCheckStatus.ERROR?get$3(healthState).logs:[]),successState=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS?get$3(healthState):null),serverInfo=user_derived(()=>get$3(successState)?.serverInfo),capabilities=user_derived(()=>get$3(successState)?.capabilities),transportType=user_derived(()=>get$3( +successState)?.transportType),protocolVersion=user_derived(()=>get$3(successState)?.protocolVersion),connectionTimeMs=user_derived(()=>get$3(successState)?.connectionTimeMs),instructions=user_derived(()=>get$3(successState)?.instructions),isEditing2=user_derived(()=>!$$props.server.url.trim()),showDeleteDialog=state$1(!1),editFormRef=state$1(null);function handleHealthCheck(){mcpStore.runHealthCheck($$props.server)}async function startEditing(){set$1(isEditing2,!0),await tick(),get$3(editFormRef)?. +setInitialValues($$props.server.url,$$props.server.headers||"",$$props.server.useProxy||!1)}function cancelEditing(){$$props.server.url.trim()?set$1(isEditing2,!1):$$props.onDelete()}function saveEditing(url2,headers,useProxy){$$props.onUpdate({url:url2,headers:headers||void 0,useProxy}),set$1(isEditing2,!1),$$props.server.enabled&&url2&&setTimeout(()=>mcpStore.runHealthCheck({...$$props.server,url:url2,useProxy}),100)}function handleDeleteClick(){set$1(showDeleteDialog,!0)}var fragment=root$M(), +node2=first_child(fragment);component(node2,()=>Card,($$anchor2,Card_Root)=>{Card_Root($$anchor2,{class:"!gap-3 bg-muted/30 p-4",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor4=>{bind_this(McpServerCardEditForm($$anchor4,{get serverId(){return $$props.server.id},get serverUrl(){return $$props.server.url},get serverUseProxy(){return $$props.server.useProxy},onSave:saveEditing,onCancel:cancelEditing}),$$value=>set$1(editFormRef, +$$value,!0),()=>get$3(editFormRef))},alternate_1=$$anchor4=>{var fragment_3=root_3$w(),node_2=first_child(fragment_3);{let $0=user_derived(()=>$$props.enabled??$$props.server.enabled);McpServerCardHeader(node_2,{get displayName(){return get$3(displayName)},get faviconUrl(){return get$3(faviconUrl)},get enabled(){return get$3($0)},get disabled(){return get$3(isError)},get onToggle(){return $$props.onToggle},get serverInfo(){return get$3(serverInfo)},get capabilities(){return get$3(capabilities)}, +get transportType(){return get$3(transportType)}})}var node_3=sibling(node_2,2);{var consequent_1=$$anchor5=>{var p2=root_4$n(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,get$3(errorMessage))),append($$anchor5,p2)};if_block(node_3,$$render=>{get$3(isError)&&get$3(errorMessage)&&$$render(consequent_1)})}var node_4=sibling(node_3,2);{var consequent_2=$$anchor5=>{var p_1=root_5$f(),text_1=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_1,get$3(serverInfo).description)), +append($$anchor5,p_1)};if_block(node_4,$$render=>{get$3(isConnected)&&get$3(serverInfo)?.description&&$$render(consequent_2)})}var div=sibling(node_4,2),node_5=child(div);{var consequent_3=$$anchor5=>{var fragment_4=root_6$h(),div_1=first_child(fragment_4),div_2=child(div_1),node_6=child(div_2);Skeleton(node_6,{class:"h-4 w-4 rounded"});var node_7=sibling(node_6,2);Skeleton(node_7,{class:"h-3 w-24"}),reset(div_2);var div_3=sibling(div_2,2),node_8=child(div_3);Skeleton(node_8,{class:"h-5 w-16 rou\ +nded-full"});var node_9=sibling(node_8,2);Skeleton(node_9,{class:"h-5 w-20 rounded-full"});var node_10=sibling(node_9,2);Skeleton(node_10,{class:"h-5 w-14 rounded-full"}),reset(div_3),reset(div_1);var div_4=sibling(div_1,2),div_5=child(div_4),node_11=child(div_5);Skeleton(node_11,{class:"h-4 w-4 rounded"});var node_12=sibling(node_11,2);Skeleton(node_12,{class:"h-3 w-32"}),reset(div_5),reset(div_4),append($$anchor5,fragment_4)},alternate=$$anchor5=>{var fragment_5=root_7$e(),node_13=first_child( +fragment_5);{var consequent_4=$$anchor6=>{McpServerInfo($$anchor6,{get instructions(){return get$3(instructions)}})};if_block(node_13,$$render=>{get$3(isConnected)&&get$3(instructions)&&$$render(consequent_4)})}var node_14=sibling(node_13,2);{var consequent_5=$$anchor6=>{McpServerCardToolsList($$anchor6,{get tools(){return get$3(tools)}})};if_block(node_14,$$render=>{get$3(tools).length>0&&$$render(consequent_5)})}var node_15=sibling(node_14,2);{var consequent_6=$$anchor6=>{McpConnectionLogs($$anchor6, +{get logs(){return get$3(connectionLogs)},get connectionTimeMs(){return get$3(connectionTimeMs)}})};if_block(node_15,$$render=>{get$3(connectionLogs).length>0&&$$render(consequent_6)})}append($$anchor5,fragment_5)};if_block(node_5,$$render=>{get$3(showSkeleton)?$$render(consequent_3):$$render(alternate,-1)})}reset(div);var div_6=sibling(div,2),node_16=child(div_6);{var consequent_7=$$anchor5=>{Skeleton($$anchor5,{class:"h-3 w-28"})},consequent_8=$$anchor5=>{var div_7=root_12$7(),span=child(div_7), +text_2=child(span);reset(span),reset(div_7),template_effect(()=>set_text(text_2,`Protocol version: ${get$3(protocolVersion)??""}`)),append($$anchor5,div_7)};if_block(node_16,$$render=>{get$3(showSkeleton)?$$render(consequent_7):get$3(protocolVersion)&&$$render(consequent_8,1)})}var node_17=sibling(node_16,2);McpServerCardActions(node_17,{get isHealthChecking(){return get$3(isHealthChecking)},onEdit:startEditing,onRefresh:handleHealthCheck,onDelete:handleDeleteClick}),reset(div_6),append($$anchor4, +fragment_3)};if_block(node_1,$$render=>{get$3(isEditing2)?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})});var node_18=sibling(node2,2);McpServerCardDeleteDialog(node_18,{get displayName(){return get$3(displayName)},onOpenChange:open2=>set$1(showDeleteDialog,open2,!0),get onConfirm(){return $$props.onDelete},get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_3$v=from_html( +" ",1),root_1$o=from_html('
          '),root$L=from_html('
          ');function McpServerCardHeader($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1);var div=root$L(),div_1=child( +div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);McpServerIdentity(node2,{get displayName(){return $$props.displayName},get faviconUrl(){return $$props.faviconUrl},get serverInfo(){return $$props.serverInfo},iconClass:"h-5 w-5",iconRounded:"rounded",nameClass:"leading-6 font-medium"}),reset(div_3);var node_1=sibling(div_3,2);{var consequent_3=$$anchor2=>{var div_4=root_1$o(),node_2=child(div_4);{var consequent_1=$$anchor3=>{const TransportIcon=user_derived(()=>MCP_TRANSPORT_ICONS[$$props. +transportType]);Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 px-1.5 text-[10px]",children:($$anchor4,$$slotProps)=>{var fragment_1=root_3$v(),node_3=first_child(fragment_1);{var consequent=$$anchor5=>{var fragment_2=comment$2(),node_4=first_child(fragment_2);component(node_4,()=>get$3(TransportIcon),($$anchor6,TransportIcon_1)=>{TransportIcon_1($$anchor6,{class:"h-3 w-3"})}),append($$anchor5,fragment_2)};if_block(node_3,$$render=>{get$3(TransportIcon)&&$$render(consequent)})}var text2=sibling( +node_3);template_effect(()=>set_text(text2,` ${(MCP_TRANSPORT_LABELS[$$props.transportType]||$$props.transportType)??""}`)),append($$anchor4,fragment_1)},$$slots:{default:!0}})};if_block(node_2,$$render=>{$$props.transportType&&$$render(consequent_1)})}var node_5=sibling(node_2,2);{var consequent_2=$$anchor3=>{McpCapabilitiesBadges($$anchor3,{get capabilities(){return $$props.capabilities}})};if_block(node_5,$$render=>{$$props.capabilities&&$$render(consequent_2)})}reset(div_4),append($$anchor2, +div_4)};if_block(node_1,$$render=>{($$props.capabilities||$$props.transportType)&&$$render(consequent_3)})}reset(div_2);var div_5=sibling(div_2,2),node_6=child(div_5);Switch(node_6,{get checked(){return $$props.enabled},get disabled(){return disabled()},get onCheckedChange(){return $$props.onToggle}}),reset(div_5),reset(div_1),reset(div),append($$anchor,div),pop()}var root$K=from_html('
          ');function McpServerCardActions($$anchor,$$props){ +var div=root$K(),node2=child(div);Button(node2,{variant:"ghost",size:"icon",class:"h-7 w-7",get onclick(){return $$props.onEdit},"aria-label":"Edit",children:($$anchor2,$$slotProps)=>{Pencil($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_1=sibling(node2,2);Button(node_1,{variant:"ghost",size:"icon",class:"h-7 w-7",get onclick(){return $$props.onRefresh},get disabled(){return $$props.isHealthChecking},"aria-label":"Refresh",children:($$anchor2,$$slotProps)=>{Refresh_cw($$anchor2, +{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_2=sibling(node_1,2);Button(node_2,{variant:"ghost",size:"icon",class:"hover:text-destructive-foreground h-7 w-7 text-destructive hover:bg-destructive/10",get onclick(){return $$props.onDelete},"aria-label":"Delete",children:($$anchor2,$$slotProps)=>{Trash_2($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}}),reset(div),append($$anchor,div)}var root_2$E=from_html(" ",1),root_8$h=from_html('

          '),root_6$g=from_html("
          "),root_5$e=from_html('
          '),root_1$n=from_html(" ",1);function McpServerCardToolsList($$anchor,$$props){push$1($$props,!0);let isExpanded=state$1(!1),toolsCount=user_derived(()=>$$props.tools.length);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible,($$anchor2,Collapsible_Root)=>{Collapsible_Root($$anchor2,{get open(){return get$3(isExpanded)}, +set open($$value){set$1(isExpanded,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$n(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible_trigger,($$anchor4,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor4,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$E(),node_2=first_child(fragment_2);{var consequent=$$anchor6=>{Chevron_down($$anchor6,{class:"h-3.5 w-3.5"})}, +alternate=$$anchor6=>{Chevron_right($$anchor6,{class:"h-3.5 w-3.5"})};if_block(node_2,$$render=>{get$3(isExpanded)?$$render(consequent):$$render(alternate,-1)})}var span=sibling(node_2,2),text2=child(span);reset(span),template_effect(()=>set_text(text2,`${get$3(toolsCount)??""} tools available · Show details`)),append($$anchor5,fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Collapsible_content,($$anchor4,Collapsible_Content)=>{Collapsible_Content($$anchor4, +{class:"mt-2",children:($$anchor5,$$slotProps2)=>{var div=root_5$e();each(div,21,()=>$$props.tools,tool=>tool.name,($$anchor6,tool)=>{var div_1=root_6$g(),node_4=child(div_1);Badge(node_4,{variant:"secondary",children:($$anchor7,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$3(tool).name)),append($$anchor7,text_1)},$$slots:{default:!0}});var node_5=sibling(node_4,2);{var consequent_1=$$anchor7=>{var p2=root_8$h(),text_2=child(p2,!0);reset(p2),template_effect( +()=>set_text(text_2,get$3(tool).description)),append($$anchor7,p2)};if_block(node_5,$$render=>{get$3(tool).description&&$$render(consequent_1)})}reset(div_1),append($$anchor6,div_1)}),reset(div),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root$J=from_html('

          Configure Server

          ');function McpServerCardEditForm($$anchor,$$props){ +push$1($$props,!0);let serverUseProxy=prop($$props,"serverUseProxy",3,!1),editUrl=user_derived(()=>$$props.serverUrl),editHeaders=state$1(""),editUseProxy=user_derived(serverUseProxy),urlError=user_derived(()=>{if(!get$3(editUrl).trim())return"URL is required";try{return new URL(get$3(editUrl)),null}catch{return"Invalid URL format"}}),canSave=user_derived(()=>!get$3(urlError));function handleSave(){get$3(canSave)&&$$props.onSave(get$3(editUrl).trim(),get$3(editHeaders).trim(),get$3(editUseProxy))} +function setInitialValues(url2,headers,useProxy){set$1(editUrl,url2),set$1(editHeaders,headers,!0),set$1(editUseProxy,useProxy)}var $$exports={setInitialValues},div=root$J(),node2=sibling(child(div),2);{let $0=user_derived(()=>get$3(editUrl)?get$3(urlError):null);McpServerForm(node2,{get url(){return get$3(editUrl)},get headers(){return get$3(editHeaders)},get useProxy(){return get$3(editUseProxy)},onUrlChange:v=>set$1(editUrl,v),onHeadersChange:v=>set$1(editHeaders,v,!0),onUseProxyChange:v=>set$1( +editUseProxy,v),get urlError(){return get$3($0)},get id(){return $$props.serverId}})}var div_1=sibling(node2,2),node_1=child(div_1);Button(node_1,{variant:"secondary",size:"sm",get onclick(){return $$props.onCancel},children:($$anchor2,$$slotProps)=>{next$1();var text2=text$8("Cancel");append($$anchor2,text2)},$$slots:{default:!0}});var node_2=sibling(node_1,2);{let $0=user_derived(()=>!get$3(canSave));Button(node_2,{size:"sm",onclick:handleSave,get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{ +next$1();var text_1=text$8();template_effect($02=>set_text(text_1,$02),[()=>$$props.serverUrl.trim()?"Update":"Add"]),append($$anchor2,text_1)},$$slots:{default:!0}})}return reset(div_1),reset(div),append($$anchor,div),pop($$exports)}function Alert_dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("te\ +xt-lg font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,AlertDialogPrimitive_Title)=>{AlertDialogPrimitive_Title($$anchor2,spread_props({"data-slot":"alert-dialog-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Alert_dialog_action($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy", +"ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants(),$$props.class));component(node2,()=>Alert_dialog_action$1,($$anchor2,AlertDialogPrimitive_Action)=>{AlertDialogPrimitive_Action($$anchor2,spread_props({"data-slot":"alert-dialog-action",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Alert_dialog_cancel($$anchor,$$props){push$1($$props, +!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants({variant:"outline"}),$$props.class));component(node2,()=>Alert_dialog_cancel$1,($$anchor2,AlertDialogPrimitive_Cancel)=>{AlertDialogPrimitive_Cancel($$anchor2,spread_props({"data-slot":"alert-dialog-cancel",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ +ref2($$value)}}))})}append($$anchor,fragment),pop()}var root$I=from_html("
          ");function Alert_dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$I();attribute_effect(div,$0=>({"data-slot":"alert-dialog-footer",class:$0,...restProps}),[()=>cn$1("mt-6 flex flex-row gap-2 sm:mt-0 sm:justify-end [&>*]:flex-1 sm:[&>*]:flex-none",$$props.class)]);var node2=child( +div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$H=from_html("
          ");function Alert_dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$H();attribute_effect(div,$0=>({"data-slot":"alert-dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 \ +text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Alert_dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[st\ +ate=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,AlertDialogPrimitive_Overlay)=>{AlertDialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"alert-dialog-overlay",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_1$m=from_html("\ + ",1);function Alert_dialog_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","portalProps"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,AlertDialogPrimitive_Portal)=>{AlertDialogPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$m(),node_1=first_child(fragment_1); +Alert_dialog_overlay(node_1,{});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed z-[999999] grid w-full gap-4 border bg-background p-6 shadow-lg duration-200","right-0 bottom-0 left-0 max-h-[100dvh] translate-x-0 translate-y-0 overflow-y-auto rounded-t-lg","data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:slide-out-to-bottom-full","data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:s\ +lide-in-from-bottom-full","sm:top-[50%] sm:right-auto sm:bottom-auto sm:left-[50%] sm:max-h-[100vh] sm:max-w-lg sm:translate-x-[-50%] sm:translate-y-[-50%] sm:rounded-lg","sm:data-[state=closed]:slide-out-to-bottom-0 sm:data-[state=closed]:zoom-out-95","sm:data-[state=open]:slide-in-from-bottom-0 sm:data-[state=open]:zoom-in-95",$$props.class));component(node_2,()=>Alert_dialog_content$1,($$anchor4,AlertDialogPrimitive_Content)=>{AlertDialogPrimitive_Content($$anchor4,spread_props({"data-slot":"\ +alert-dialog-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Alert_dialog_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text\ +-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,AlertDialogPrimitive_Description)=>{AlertDialogPrimitive_Description($$anchor2,spread_props({"data-slot":"alert-dialog-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$1=Alert_dialog,Portal=Portal$2;var root_5$d=from_html(`Are you sure you want to delete ? This action cannot be + undone.`,1),root_3$u=from_html(" ",1),root_6$f=from_html(" ",1),root_2$D=from_html(" ",1);function McpServerCardDeleteDialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{ +var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$D(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$u(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{ +AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Delete Server");append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var fragment_4=root_5$d(),strong2=sibling(first_child(fragment_4)),text_1=child(strong2,!0);reset(strong2),next$1(),template_effect(()=>set_text(text_1, +$$props.displayName)),append($$anchor9,fragment_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_5=sibling(node_2,2);component(node_5,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=root_6$f(),node_6=first_child(fragment_5);component(node_6,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1(); +var text_2=text$8("Cancel");append($$anchor9,text_2)},$$slots:{default:!0}})});var node_7=sibling(node_6,2);component(node_7,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{class:"text-destructive-foreground bg-destructive hover:bg-destructive/90",get onclick(){return $$props.onConfirm},children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8("Delete");append($$anchor9,text_3)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}), +append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$l=from_html('
          ',1);function McpServerCardSkeleton($$anchor){Card($$anchor,{class:"\ +grid gap-3 p-4",children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$l(),div=first_child(fragment_1),div_1=child(div),node2=child(div_1);Skeleton(node2,{class:"h-5 w-5 rounded"});var node_1=sibling(node2,2);Skeleton(node_1,{class:"h-5 w-28"});var node_2=sibling(node_1,2);Skeleton(node_2,{class:"h-5 w-12 rounded-full"}),reset(div_1);var node_3=sibling(div_1,2);Skeleton(node_3,{class:"h-6 w-11 rounded-full"}),reset(div);var div_2=sibling(div,2),node_4=child(div_2);Skeleton(node_4,{class:"h-5 w\ +-14 rounded-full"});var node_5=sibling(node_4,2);Skeleton(node_5,{class:"h-5 w-12 rounded-full"});var node_6=sibling(node_5,2);Skeleton(node_6,{class:"h-5 w-16 rounded-full"}),reset(div_2);var div_3=sibling(div_2,2),node_7=child(div_3);Skeleton(node_7,{class:"h-4 w-40"});var node_8=sibling(node_7,2);Skeleton(node_8,{class:"h-4 w-52"}),reset(div_3);var node_9=sibling(div_3,2);Skeleton(node_9,{class:"h-3.5 w-36"});var div_4=sibling(node_9,2),node_10=child(div_4);Skeleton(node_10,{class:"h-8 w-8 ro\ +unded"});var node_11=sibling(node_10,2);Skeleton(node_11,{class:"h-8 w-8 rounded"});var node_12=sibling(node_11,2);Skeleton(node_12,{class:"h-8 w-8 rounded"}),reset(div_4),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var root_1$k=from_html(''),root_4$m=from_html(''),root$G=from_html(' \ + ');function McpServerIdentity($$anchor,$$props){push$1($$props,!0);let faviconUrl=prop($$props,"faviconUrl",3,null),iconClass=prop($$props,"iconClass",3,"h-5 w-5"),iconRounded=prop($$props,"iconRounded",3,"rounded-sm"),showVersion=prop($$props,"showVersion",3,!0),showWebsite=prop($$props,"showWebsite",3,!0),safeWebsiteUrl=user_derived(()=>$$props.serverInfo?.websiteUrl?sanitizeExternalUrl($$props.serverInfo.websiteUrl):null);var span=root$G(),node2=child(span);{var consequent=$$anchor2=>{ +var img=root_1$k();template_effect(()=>{set_attribute(img,"src",faviconUrl()),set_class(img,1,clsx(["shrink-0",iconRounded(),iconClass()]))}),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor2,img)};if_block(node2,$$render=>{faviconUrl()&&$$render(consequent)})}var node_1=sibling(node2,2);{let $0=user_derived(()=>$$props.displayName??""),$1=user_derived(()=>$$props.nameClass??"");TruncatedText(node_1,{get text(){return get$3($0)},get class(){return get$3( +$1)}})}var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{Badge($$anchor2,{variant:"secondary",class:"h-4 min-w-0 shrink px-1 text-[10px]",children:($$anchor3,$$slotProps)=>{{let $0=user_derived(()=>`v${$$props.serverInfo.version}`);TruncatedText($$anchor3,{get text(){return get$3($0)}})}},$$slots:{default:!0}})};if_block(node_2,$$render=>{showVersion()&&$$props.serverInfo?.version&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{var a=root_4$m(),node_4=child( +a);External_link(node_4,{class:"h-3 w-3"}),reset(a),template_effect(()=>set_attribute(a,"href",get$3(safeWebsiteUrl))),delegated("click",a,e=>e.stopPropagation()),append($$anchor2,a)};if_block(node_3,$$render=>{showWebsite()&&get$3(safeWebsiteUrl)&&$$render(consequent_2)})}reset(span),append($$anchor,span),pop()}delegate(["click"]);var root_3$t=from_html(" Server instructions",1),root_6$e=from_html('

          '),root_2$C=from_html( +" ",1);function McpServerInfo($$anchor,$$props){let isExpanded=state$1(!1);var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor3,Collapsible_Root)=>{Collapsible_Root($$anchor3,{get class(){return $$props.class},get open(){return get$3(isExpanded)},set open($$value){set$1(isExpanded,$$value,!0)},children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$C(),node_2=first_child( +fragment_2);component(node_2,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_3=root_3$t(),node_3=first_child(fragment_3);{var consequent=$$anchor7=>{Chevron_down($$anchor7,{class:"h-3.5 w-3.5"})},alternate=$$anchor7=>{Chevron_right($$anchor7,{class:"h-3.5 w-3.5"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render( +consequent):$$render(alternate,-1)})}next$1(2),append($$anchor6,fragment_3)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Collapsible_content,($$anchor5,Collapsible_Content)=>{Collapsible_Content($$anchor5,{class:"mt-2",children:($$anchor6,$$slotProps2)=>{var p2=root_6$e(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.instructions)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append( +$$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.instructions&&$$render(consequent_1)})}append($$anchor,fragment)}var root_2$B=from_html('...'),root_1$j=from_html(' * ',1),root_4$l=from_html(''),root_3$s=from_html('
          '),root$F=from_html('
          ');function InputWithSuggestions($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",3,""),suggestions=prop($$props,"suggestions",19,()=>[]),isLoadingSuggestions=prop($$props,"isLoadingSuggestions",3,!1),isAutocompleteActive=prop($$props,"isAutocompleteActive",3,!1),autocompleteIndex=prop($$props,"autocompleteIndex",3,0);var div=root$F(),node2=child(div);Label(node2,{get for(){return`tpl-arg-${$$props. +name??""}`},class:"mb-1 text-muted-foreground",children:($$anchor2,$$slotProps)=>{var fragment=root_1$j(),span=first_child(fragment),text2=child(span);next$1(),reset(span);var node_1=sibling(span,2);{var consequent=$$anchor3=>{var span_1=root_2$B();append($$anchor3,span_1)};if_block(node_1,$$render=>{isLoadingSuggestions()&&$$render(consequent)})}template_effect(()=>set_text(text2,`${$$props.name??""} `)),append($$anchor2,fragment)},$$slots:{default:!0}});var node_2=sibling(node2,2);Input(node_2, +{get id(){return`tpl-arg-${$$props.name??""}`},type:"text",get value(){return value()},oninput:e=>$$props.onInput(e.currentTarget.value),get onkeydown(){return $$props.onKeydown},get onblur(){return $$props.onBlur},get onfocus(){return $$props.onFocus},get placeholder(){return`Enter ${$$props.name??""}`},autocomplete:"off"});var node_3=sibling(node_2,2);{var consequent_1=$$anchor2=>{var div_1=root_3$s();each(div_1,22,suggestions,suggestion=>suggestion,($$anchor3,suggestion,i)=>{var button=root_4$l(), +text_1=child(button,!0);reset(button),template_effect(()=>{set_class(button,1,`w-full px-3 py-1.5 text-left text-sm hover:bg-accent ${get$3(i)===autocompleteIndex()?"bg-accent":""}`),set_text(text_1,suggestion)}),delegated("mousedown",button,()=>$$props.onSelectSuggestion(suggestion)),append($$anchor3,button)}),reset(div_1),transition(3,div_1,()=>fly,()=>({y:-5,duration:100})),append($$anchor2,div_1)};if_block(node_3,$$render=>{isAutocompleteActive()&&suggestions().length>0&&$$render(consequent_1)})} +reset(div),append($$anchor,div),pop()}delegate(["mousedown"]);var root_2$A=from_html('(optional)'),root_1$i=from_html(' '),root_4$k=from_html('
          ");function Textarea($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),value=prop($$props,"value",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","value","class"]);var textarea=root$l();remove_textarea_child(textarea),attribute_effect(textarea,$0=>({"data-slot":"textarea",class:$0,...restProps}),[()=>cn$1("flex field-sizing-content\ + min-h-16 w-full rounded-md border border-input bg-transparent px-3 py-2 text-base shadow-xs transition-[color,box-shadow] outline-none placeholder:text-muted-foreground focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 md:text-sm dark:bg-input/30 dark:aria-invalid:ring-destructive/40",$$props.class)]),bind_this(textarea,$$value=>ref2($$value),()=>ref2()),bind_value( +textarea,value),append($$anchor,textarea),pop()}var root_3$7=from_html(" ",1),root_6$7=from_html(''),root_7$7=from_html('

          '),root_2$e=from_html('
          ',1),root_10$3=from_html(" ",1),root_12$2=from_html('

          '),root_13$2=from_html('
          '),root_8$8=from_html(" ",1),root_16$1=from_html(" ",1),root_20$1=from_html('
          '),root_22=from_html(''),root_26=from_html('
          '),root_19$2=from_html('
          ',1),root_28=from_html('

          '),root_15$2=from_html('
          ',1),root_31=from_html('

          '),root_29=from_html('
          '),root_1$a=from_html('
          ');function SettingsChatFields($$anchor,$$props){push$1($$props,!0);let currentModelParams=user_derived(()=>{if(propsCacheVersion(),serverStore.isRouterMode){const currentModelName=selectedModelName();if(currentModelName)return modelsStore.getModelProps( +currentModelName)?.default_generation_settings?.params??{}}return serverStore.defaultParams??{}});var fragment=comment$2(),node2=first_child(fragment);each(node2,17,()=>$$props.fields,field=>field.key,($$anchor2,field)=>{var div=root_1$a(),node_1=child(div);{var consequent_4=$$anchor3=>{const currentValue=user_derived(()=>String($$props.localConfig[get$3(field).key]??"")),serverDefault=user_derived(()=>get$3(currentModelParams)[get$3(field).key]),isCustomRealTime=user_derived(()=>(()=>{if(get$3( +serverDefault)==null||get$3(currentValue)==="")return!1;const numericInput=parseFloat(get$3(currentValue)),normalizedInput=isNaN(numericInput)?get$3(currentValue):Math.round(numericInput*1e6)/1e6,normalizedDefault=typeof get$3(serverDefault)=="number"?Math.round(get$3(serverDefault)*1e6)/1e6:get$3(serverDefault);return normalizedInput!==normalizedDefault})());var fragment_1=root_2$e(),div_1=first_child(fragment_1),node_2=child(div_1);Label(node_2,{get for(){return get$3(field).key},class:"flex i\ +tems-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_2=root_3$7(),text2=first_child(fragment_2),node_3=sibling(text2);{var consequent=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_3,$$render=>{get$3(field).isExperimental&&$$render(consequent)})}template_effect(()=>set_text(text2,`${get$3(field).label??""} `)),append($$anchor4,fragment_2)},$$slots:{default:!0}});var node_4=sibling(node_2,2);{var consequent_1=$$anchor4=>{ +SettingsChatParameterSourceIndicator($$anchor4,{})};if_block(node_4,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_1)})}reset(div_1);var div_2=sibling(div_1,2),node_5=child(div_2);{let $0=user_derived(()=>get$3(currentModelParams)[get$3(field).key]!=null?`Default: ${normalizeFloatingPoint(get$3(currentModelParams)[get$3(field).key])}`:""),$1=user_derived(()=>get$3(isCustomRealTime)?"pr-8":"");Input(node_5,{get id(){return get$3(field).key},get value(){return get$3(currentValue)},oninput:e=>{ +$$props.onConfigChange(get$3(field).key,e.currentTarget.value)},get placeholder(){return get$3($0)},get class(){return`w-full ${get$3($1)??""}`}})}var node_6=sibling(node_5,2);{var consequent_2=$$anchor4=>{var button=root_6$7(),node_7=child(button);Rotate_ccw(node_7,{class:"h-3 w-3"}),reset(button),delegated("click",button,()=>{settingsStore.resetParameterToServerDefault(get$3(field).key),$$props.onConfigChange(get$3(field).key,"")}),append($$anchor4,button)};if_block(node_6,$$render=>{get$3(isCustomRealTime)&& +$$render(consequent_2)})}reset(div_2);var node_8=sibling(div_2,2);{var consequent_3=$$anchor4=>{var p2=root_7$7();html$6(p2,()=>get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key],!0),reset(p2),append($$anchor4,p2)};if_block(node_8,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_3)})}append($$anchor3,fragment_1)},consequent_9=$$anchor3=>{var fragment_5=root_8$8(),node_9=first_child(fragment_5);{var consequent_6=$$anchor4=>{Label($$anchor4,{get for(){ +return get$3(field).key},class:"block flex items-center gap-1.5 text-sm font-medium",children:($$anchor5,$$slotProps)=>{next$1();var fragment_7=root_10$3(),text_1=first_child(fragment_7),node_10=sibling(text_1);{var consequent_5=$$anchor6=>{Flask_conical($$anchor6,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_10,$$render=>{get$3(field).isExperimental&&$$render(consequent_5)})}template_effect(()=>set_text(text_1,`${get$3(field).label??""} `)),append($$anchor5,fragment_7)},$$slots:{default:!0}})}; +if_block(node_9,$$render=>{get$3(field).label&&$$render(consequent_6)})}var node_11=sibling(node_9,2);{let $0=user_derived(()=>String($$props.localConfig[get$3(field).key]??""));Textarea(node_11,{get id(){return get$3(field).key},get value(){return get$3($0)},onchange:e=>$$props.onConfigChange(get$3(field).key,e.currentTarget.value),placeholder:"",class:"min-h-[10rem] w-full md:max-w-3xl"})}var node_12=sibling(node_11,2);{var consequent_7=$$anchor4=>{var p_1=root_12$2(),text_2=child(p_1,!0);reset( +p_1),template_effect(()=>set_text(text_2,get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])),append($$anchor4,p_1)};if_block(node_12,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_7)})}var node_13=sibling(node_12,2);{var consequent_8=$$anchor4=>{var div_3=root_13$2(),node_14=child(div_3);{let $0=user_derived(()=>!!($$props.localConfig.showSystemMessage??!0));Checkbox(node_14,{id:"showSystemMessage",get checked(){return get$3($0)},onCheckedChange:checked=>$$props. +onConfigChange(SETTINGS_KEYS.SHOW_SYSTEM_MESSAGE,!!checked)})}var node_15=sibling(node_14,2);Label(node_15,{for:"showSystemMessage",class:"cursor-pointer text-sm font-normal",children:($$anchor5,$$slotProps)=>{next$1();var text_3=text$8("Show system message in conversations");append($$anchor5,text_3)},$$slots:{default:!0}}),reset(div_3),append($$anchor4,div_3)};if_block(node_13,$$render=>{get$3(field).key===SETTINGS_KEYS.SYSTEM_MESSAGE&&$$render(consequent_8)})}append($$anchor3,fragment_5)},consequent_17=$$anchor3=>{ +const selectedOption=user_derived(()=>get$3(field).options?.find(opt=>opt.value===$$props.localConfig[get$3(field).key])),currentValue=user_derived(()=>$$props.localConfig[get$3(field).key]),serverDefault=user_derived(()=>get$3(currentModelParams)[get$3(field).key]),isCustomRealTime=user_derived(()=>get$3(serverDefault)==null||get$3(currentValue)===""||get$3(currentValue)===void 0?!1:get$3(currentValue)!==get$3(serverDefault));var fragment_9=root_15$2(),div_4=first_child(fragment_9),node_16=child( +div_4);Label(node_16,{get for(){return get$3(field).key},class:"flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_10=root_16$1(),text_4=first_child(fragment_10),node_17=sibling(text_4);{var consequent_10=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_17,$$render=>{get$3(field).isExperimental&&$$render(consequent_10)})}template_effect(()=>set_text(text_4,`${get$3(field).label??""} `)),append($$anchor4, +fragment_10)},$$slots:{default:!0}});var node_18=sibling(node_16,2);{var consequent_11=$$anchor4=>{SettingsChatParameterSourceIndicator($$anchor4,{})};if_block(node_18,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_11)})}reset(div_4);var node_19=sibling(div_4,2);component(node_19,()=>Root,($$anchor4,Select_Root)=>{Select_Root($$anchor4,{type:"single",get value(){return get$3(currentValue)},onValueChange:value=>{get$3(field).key===SETTINGS_KEYS.THEME&&value&&$$props.onThemeChange?$$props. +onThemeChange(value):$$props.onConfigChange(get$3(field).key,value)},children:($$anchor5,$$slotProps)=>{var fragment_13=root_19$2(),div_5=first_child(fragment_13),node_20=child(div_5);component(node_20,()=>Select_trigger,($$anchor6,Select_Trigger)=>{Select_Trigger($$anchor6,{class:"w-full",children:($$anchor7,$$slotProps2)=>{var div_6=root_20$1(),node_21=child(div_6);{var consequent_12=$$anchor8=>{const IconComponent=user_derived(()=>get$3(selectedOption).icon);var fragment_14=comment$2(),node_22=first_child( +fragment_14);component(node_22,()=>get$3(IconComponent),($$anchor9,IconComponent_1)=>{IconComponent_1($$anchor9,{class:"h-4 w-4"})}),append($$anchor8,fragment_14)};if_block(node_21,$$render=>{get$3(selectedOption)?.icon&&$$render(consequent_12)})}var text_5=sibling(node_21);reset(div_6),template_effect($0=>set_text(text_5,` ${$0??""}`),[()=>get$3(selectedOption)?.label||`Select ${get$3(field).label.toLowerCase()}`]),append($$anchor7,div_6)},$$slots:{default:!0}})});var node_23=sibling(node_20,2); +{var consequent_13=$$anchor6=>{var button_1=root_22(),node_24=child(button_1);Rotate_ccw(node_24,{class:"h-3 w-3"}),reset(button_1),delegated("click",button_1,()=>{settingsStore.resetParameterToServerDefault(get$3(field).key),$$props.onConfigChange(get$3(field).key,"")}),append($$anchor6,button_1)};if_block(node_23,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_13)})}reset(div_5);var node_25=sibling(div_5,2);component(node_25,()=>Select_content,($$anchor6,Select_Content)=>{Select_Content( +$$anchor6,{children:($$anchor7,$$slotProps2)=>{var fragment_15=comment$2(),node_26=first_child(fragment_15);{var consequent_15=$$anchor8=>{var fragment_16=comment$2(),node_27=first_child(fragment_16);each(node_27,17,()=>get$3(field).options,option2=>option2.value,($$anchor9,option2)=>{var fragment_17=comment$2(),node_28=first_child(fragment_17);component(node_28,()=>Select_item,($$anchor10,Select_Item)=>{Select_Item($$anchor10,{get value(){return get$3(option2).value},get label(){return get$3(option2). +label},children:($$anchor11,$$slotProps3)=>{var div_7=root_26(),node_29=child(div_7);{var consequent_14=$$anchor12=>{const IconComponent=user_derived(()=>get$3(option2).icon);var fragment_18=comment$2(),node_30=first_child(fragment_18);component(node_30,()=>get$3(IconComponent),($$anchor13,IconComponent_2)=>{IconComponent_2($$anchor13,{class:"h-4 w-4"})}),append($$anchor12,fragment_18)};if_block(node_29,$$render=>{get$3(option2).icon&&$$render(consequent_14)})}var text_6=sibling(node_29);reset(div_7), +template_effect(()=>set_text(text_6,` ${get$3(option2).label??""}`)),append($$anchor11,div_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_17)}),append($$anchor8,fragment_16)};if_block(node_26,$$render=>{get$3(field).options&&$$render(consequent_15)})}append($$anchor7,fragment_15)},$$slots:{default:!0}})}),append($$anchor5,fragment_13)},$$slots:{default:!0}})});var node_31=sibling(node_19,2);{var consequent_16=$$anchor4=>{var p_2=root_28(),text_7=child(p_2,!0);reset(p_2),template_effect(()=>set_text( +text_7,get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])),append($$anchor4,p_2)};if_block(node_31,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_16)})}append($$anchor3,fragment_9)},consequent_20=$$anchor3=>{var div_8=root_29(),node_32=child(div_8);{let $0=user_derived(()=>!!$$props.localConfig[get$3(field).key]);Checkbox(node_32,{get id(){return get$3(field).key},get checked(){return get$3($0)},onCheckedChange:checked=>$$props.onConfigChange(get$3( +field).key,checked),class:"mt-1"})}var div_9=sibling(node_32,2),label=child(div_9),text_8=child(label),node_33=sibling(text_8);{var consequent_18=$$anchor4=>{Flask_conical($$anchor4,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_33,$$render=>{get$3(field).isExperimental&&$$render(consequent_18)})}reset(label);var node_34=sibling(label,2);{var consequent_19=$$anchor4=>{var p_3=root_31(),text_9=child(p_3,!0);reset(p_3),template_effect(()=>set_text(text_9,get$3(field).help||SETTING_CONFIG_INFO[get$3( +field).key])),append($$anchor4,p_3)};if_block(node_34,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_19)})}reset(div_9),reset(div_8),template_effect(()=>{set_attribute(label,"for",get$3(field).key),set_text(text_8,`${get$3(field).label??""} `)}),append($$anchor3,div_8)};if_block(node_1,$$render=>{get$3(field).type===SettingsFieldType.INPUT?$$render(consequent_4):get$3(field).type===SettingsFieldType.TEXTAREA?$$render(consequent_9,1):get$3(field).type=== +SettingsFieldType.SELECT?$$render(consequent_17,2):get$3(field).type===SettingsFieldType.CHECKBOX&&$$render(consequent_20,3)})}reset(div),append($$anchor2,div)}),append($$anchor,fragment),pop()}delegate(["click"]);var root_1$9=from_html('
          No tools available
          '),root_5$6=from_html(' ',1), +root_9$4=from_html('
          '),root_8$7=from_html('
          Tool Enabled Always allow
          '),root_4$7=from_html(" ",1),root_2$d=from_html('
          ');function SettingsChatToolsTab($$anchor,$$props){push$1($$props,!0);let expandedGroups=new SvelteSet,groups=user_derived(()=>toolsStore.toolGroups);function toggleExpanded(label){expandedGroups.has(label)?expandedGroups.delete(label):expandedGroups.add(label)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$9();append($$anchor2, +div)},alternate_1=$$anchor2=>{var div_1=root_2$d();each(div_1,21,()=>get$3(groups),group=>group.label,($$anchor3,group)=>{const isExpanded=user_derived(()=>expandedGroups.has(get$3(group).label));var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor4,Collapsible_Root)=>{Collapsible_Root($$anchor4,{get open(){return get$3(isExpanded)},onOpenChange:()=>toggleExpanded(get$3(group).label),children:($$anchor5,$$slotProps)=>{var fragment_2=root_4$7(),node_2=first_child( +fragment_2);component(node_2,()=>Collapsible_trigger,($$anchor6,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor6,{class:"flex w-full items-center gap-2 rounded-lg px-3 py-2 text-sm hover:bg-muted/50",children:($$anchor7,$$slotProps2)=>{const faviconUrl=user_derived(()=>get$3(group).serverId?mcpStore.getServerFavicon(get$3(group).serverId):null);var fragment_3=root_5$6(),node_3=first_child(fragment_3);{var consequent_1=$$anchor8=>{Chevron_down($$anchor8,{class:"h-3.5 w-3.5 shrink-0"})},alternate=$$anchor8=>{ +Chevron_right($$anchor8,{class:"h-3.5 w-3.5 shrink-0"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render(consequent_1):$$render(alternate,-1)})}var span=sibling(node_3,2),node_4=child(span);McpServerIdentity(node_4,{iconClass:"h-4 w-4",iconRounded:"rounded-sm",showVersion:!1,get displayName(){return get$3(group).label},get faviconUrl(){return get$3(faviconUrl)}}),reset(span);var span_1=sibling(span,2),text2=child(span_1);reset(span_1),template_effect(()=>set_text(text2,`${get$3(group).tools. +length??""} tool${get$3(group).tools.length!==1?"s":""}`)),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_5=sibling(node_2,2);component(node_5,()=>Collapsible_content,($$anchor6,Collapsible_Content)=>{Collapsible_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{var div_2=root_8$7(),node_6=sibling(child(div_2),2);each(node_6,17,()=>get$3(group).tools,tool=>tool.function.name,($$anchor8,tool)=>{const toolName=user_derived(()=>get$3(tool).function.name),isEnabled=user_derived( +()=>toolsStore.isToolEnabled(get$3(toolName))),permissionKey=user_derived(()=>toolsStore.getPermissionKey(get$3(toolName))),isAlwaysAllowed=user_derived(()=>get$3(permissionKey)?permissionsStore.hasTool(get$3(permissionKey)):!1);var div_3=root_9$4(),node_7=child(div_3);TruncatedText(node_7,{get text(){return get$3(toolName)},class:"flex-1",showTooltip:!0});var div_4=sibling(node_7,2),node_8=child(div_4);Checkbox(node_8,{get checked(){return get$3(isEnabled)},onCheckedChange:()=>toolsStore.toggleTool( +get$3(toolName)),class:"h-4 w-4"}),reset(div_4);var div_5=sibling(div_4,2),node_9=child(div_5);Checkbox(node_9,{get checked(){return get$3(isAlwaysAllowed)},onCheckedChange:()=>{get$3(isAlwaysAllowed)?permissionsStore.revokeTool(get$3(permissionKey)):permissionsStore.allowTool(get$3(permissionKey))},class:"h-4 w-4"}),reset(div_5),reset(div_3),append($$anchor8,div_3)}),reset(div_2),append($$anchor7,div_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3, +fragment_1)}),reset(div_1),append($$anchor2,div_1)};if_block(node2,$$render=>{get$3(groups).length===0?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}function filterModelOptions(options,searchTerm){const term=searchTerm.trim().toLowerCase();return term?options.filter(option2=>option2.model.toLowerCase().includes(term)||option2.name?.toLowerCase().includes(term)||option2.aliases?.some(alias=>alias.toLowerCase().includes(term))||option2.tags?.some(tag=>tag.toLowerCase(). +includes(term))):options}function groupModelOptions(filteredOptions,favoriteIds,isModelLoaded){const loaded=[];for(let i=0;iitem.option.model)),favorites=[];for(let i=0;imodelOptions().filter(option2=>modelsStore.getModelProps(option2.model)?.webui!==!1)),loading=user_derived(modelsLoading),updating=user_derived(modelsUpdating),activeId=user_derived(selectedModelId),isRouter=user_derived(isRouterMode),serverModel=user_derived(singleModelName),currentModel=user_derived(()=>opts.currentModel()),useGlobalSelection=user_derived(()=>opts.useGlobalSelection?.()??!1),onModelChange=user_derived(()=>opts.onModelChange?.()),isHighlightedCurrentModelActive=user_derived( +()=>{if(!get$3(isRouter)||!get$3(currentModel))return!1;const currentOption=get$3(options).find(option2=>option2.model===get$3(currentModel));return currentOption?currentOption.id===get$3(activeId):!1}),isCurrentModelInCache=user_derived(()=>!get$3(isRouter)||!get$3(currentModel)?!0:get$3(options).some(option2=>option2.model===get$3(currentModel)));let isLoadingModel=state$1(!1),searchTerm=state$1(""),showModelDialog=state$1(!1),infoModelId=state$1(null);const filteredOptions=user_derived(()=>filterModelOptions( +get$3(options),get$3(searchTerm))),groupedFilteredOptions=user_derived(()=>groupModelOptions(get$3(filteredOptions),modelsStore.favoriteModelIds,m=>modelsStore.isModelLoaded(m)));function handleInfoClick(modelName){set$1(infoModelId,modelName,!0),set$1(showModelDialog,!0)}onMount$1(()=>{modelsStore.fetch().catch(error2=>{console.error("Unable to load models:",error2)})});function handleOpenChange(open2){get$3(loading)||get$3(updating)||(get$3(isRouter)?(set$1(searchTerm,""),open2&&modelsStore.fetchRouterModels(). +then(()=>{modelsStore.fetchModalitiesForLoadedModels()}),opts.onOpenChange?.(open2)):set$1(showModelDialog,open2,!0))}async function handleSelect(modelId){const option2=get$3(options).find(opt=>opt.id===modelId);if(!option2)return;let shouldCloseMenu=!0;get$3(onModelChange)?await get$3(onModelChange)(option2.id,option2.model)===!1&&(shouldCloseMenu=!1):await modelsStore.selectModelById(option2.id),shouldCloseMenu&&(handleOpenChange(!1),requestAnimationFrame(()=>{document.querySelector('[data-slo\ +t="chat-form"] textarea')?.focus()})),!get$3(onModelChange)&&get$3(isRouter)&&!modelsStore.isModelLoaded(option2.model)&&(set$1(isLoadingModel,!0),modelsStore.loadModel(option2.model).catch(error2=>console.error("Failed to load model:",error2)).finally(()=>set$1(isLoadingModel,!1)))}function getDisplayOption(){if(!get$3(isRouter)){const displayModel=get$3(serverModel)||get$3(currentModel);return displayModel?{id:get$3(serverModel)?"current":"offline-current",model:displayModel,name:displayModel. +split("/").pop()||displayModel,capabilities:[]}:void 0}if(get$3(useGlobalSelection)&&get$3(activeId)){const selected=get$3(options).find(option2=>option2.id===get$3(activeId));if(selected)return selected}if(get$3(currentModel))return get$3(isCurrentModelInCache)?get$3(options).find(option2=>option2.model===get$3(currentModel)):{id:"not-in-cache",model:get$3(currentModel),name:get$3(currentModel).split("/").pop()||get$3(currentModel),capabilities:[]};if(get$3(activeId))return get$3(options).find( +option2=>option2.id===get$3(activeId))}return{get options(){return get$3(options)},get loading(){return get$3(loading)},get updating(){return get$3(updating)},get activeId(){return get$3(activeId)},get isRouter(){return get$3(isRouter)},get serverModel(){return get$3(serverModel)},get isHighlightedCurrentModelActive(){return get$3(isHighlightedCurrentModelActive)},get isCurrentModelInCache(){return get$3(isCurrentModelInCache)},get filteredOptions(){return get$3(filteredOptions)},get groupedFilteredOptions(){ +return get$3(groupedFilteredOptions)},get isLoadingModel(){return get$3(isLoadingModel)},get searchTerm(){return get$3(searchTerm)},get showModelDialog(){return get$3(showModelDialog)},get infoModelId(){return get$3(infoModelId)},setSearchTerm(value){set$1(searchTerm,value,!0)},setShowModelDialog(value){set$1(showModelDialog,value,!0)},handleInfoClick,handleSelect,handleOpenChange,isFavorite(model){return modelsStore.favoriteModelIds.has(model)},getDisplayOption}}var root_1$8=from_html('
          Loading models…
          '),root_3$6=from_html(' '),root_4$6=from_html('

          No models available.

          '),root_12$1=from_html('

          '),root_10$2=from_html(" ",1),root_13$1=from_html('Select model'),root_8$6=from_html(" ",1),root_19$1=from_html(''),root_20=from_html('

          No models found.

          '),root_17$1=from_html('
          '),root_7$6=from_html(" ",1),root_25=from_html('

          '),root_23=from_html(" ",1),root_21=from_html(''),root$k=from_html("
          ",1);function ModelsSelectorDropdown($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop($$props,"currentModel",3,null),disabled=prop($$props,"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection", +3,!1),isOpen=state$1(!1),highlightedIndex=state$1(-1);const ms=useModelsSelector({currentModel:()=>currentModel(),useGlobalSelection:()=>useGlobalSelection(),onModelChange:()=>$$props.onModelChange,onOpenChange:open3=>{set$1(isOpen,open3,!0),set$1(highlightedIndex,-1)}});user_effect(()=>{ms.searchTerm,set$1(highlightedIndex,-1)});function open2(){ms.handleOpenChange(!0)}function handleSearchKeyDown(event2){if(!event2.isComposing){if(event2.key===KeyboardKey.ARROW_DOWN){if(event2.preventDefault(), +ms.filteredOptions.length===0)return;get$3(highlightedIndex)===-1||get$3(highlightedIndex)===ms.filteredOptions.length-1?set$1(highlightedIndex,0):set$1(highlightedIndex,get$3(highlightedIndex)+1)}else if(event2.key===KeyboardKey.ARROW_UP){if(event2.preventDefault(),ms.filteredOptions.length===0)return;get$3(highlightedIndex)===-1||get$3(highlightedIndex)===0?set$1(highlightedIndex,ms.filteredOptions.length-1):set$1(highlightedIndex,get$3(highlightedIndex)-1)}else if(event2.key===KeyboardKey.ENTER) +if(event2.preventDefault(),get$3(highlightedIndex)>=0&&get$3(highlightedIndex)0&&set$1(highlightedIndex,0)}}var $$exports={open:open2},fragment=root$k(),div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$8(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2, +div_1)},consequent_2=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_1=$$anchor3=>{var span=root_3$6(),node_3=child(span);Package(node_3,{class:"h-3.5 w-3.5"});var node_4=sibling(node_3,2);ModelId(node_4,{get modelId(){return currentModel()},class:"min-w-0",hideQuantization:!0}),reset(span),template_effect(()=>set_class(span,1,clsx(["inline-flex items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs text-muted-foreground",className()]))), +append($$anchor3,span)},alternate=$$anchor3=>{var p2=root_4$6();append($$anchor3,p2)};if_block(node_2,$$render=>{currentModel()?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)},alternate_4=$$anchor2=>{const selectedOption=user_derived(()=>ms.getDisplayOption());var fragment_2=comment$2(),node_5=first_child(fragment_2);{var consequent_7=$$anchor3=>{var fragment_3=comment$2(),node_6=first_child(fragment_3);component(node_6,()=>Root$4,($$anchor4,DropdownMenu_Root)=>{DropdownMenu_Root( +$$anchor4,{get onOpenChange(){return ms.handleOpenChange},get open(){return get$3(isOpen)},set open($$value){set$1(isOpen,$$value,!0)},children:($$anchor5,$$slotProps)=>{var fragment_4=root_7$6(),node_7=first_child(fragment_4);{let $0=user_derived(()=>["inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:\ +ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(isOpen)&&"text-foreground","max-w-[min(calc(100vw-4rem) md:max-w-[min(calc(100cqw-9rem),25rem)]"]),$1=user_derived(()=>disabled()||ms.updating);component(node_7,()=>Dropdown_menu_trigger,($$anchor6,DropdownMenu_Trigger)=>{ +DropdownMenu_Trigger($$anchor6,{get class(){return get$3($0)},get disabled(){return get$3($1)},children:($$anchor7,$$slotProps2)=>{var fragment_5=root_8$6(),node_8=first_child(fragment_5);Package(node_8,{class:"h-3.5 w-3.5"});var node_9=sibling(node_8,2);{var consequent_3=$$anchor8=>{var fragment_6=comment$2(),node_10=first_child(fragment_6);component(node_10,()=>Root$5,($$anchor9,Tooltip_Root)=>{Tooltip_Root($$anchor9,{children:($$anchor10,$$slotProps3)=>{var fragment_7=root_10$2(),node_11=first_child( +fragment_7);{const child2=($$anchor11,$$arg0)=>{ModelId($$anchor11,spread_props({get modelId(){return get$3(selectedOption).model},class:"min-w-0 overflow-hidden",hideOrgName:!1},()=>$$arg0?.().props))};component(node_11,()=>Tooltip_trigger,($$anchor11,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor11,{child:child2,$$slots:{child:!0}})})}var node_12=sibling(node_11,2);component(node_12,()=>Tooltip_content,($$anchor11,Tooltip_Content)=>{Tooltip_Content($$anchor11,{children:($$anchor12,$$slotProps4)=>{ +var p_1=root_12$1(),text2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text2,get$3(selectedOption).model)),append($$anchor12,p_1)},$$slots:{default:!0}})}),append($$anchor10,fragment_7)},$$slots:{default:!0}})}),append($$anchor8,fragment_6)},alternate_1=$$anchor8=>{var span_1=root_13$1();append($$anchor8,span_1)};if_block(node_9,$$render=>{get$3(selectedOption)?$$render(consequent_3):$$render(alternate_1,-1)})}var node_13=sibling(node_9,2);{var consequent_4=$$anchor8=>{Loader_circle($$anchor8, +{class:"h-3 w-3.5 animate-spin"})},alternate_2=$$anchor8=>{Chevron_down($$anchor8,{class:"h-3 w-3.5"})};if_block(node_13,$$render=>{ms.updating||ms.isLoadingModel?$$render(consequent_4):$$render(alternate_2,-1)})}append($$anchor7,fragment_5)},$$slots:{default:!0}})})}var node_14=sibling(node_7,2);component(node_14,()=>Dropdown_menu_content,($$anchor6,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor6,{align:"end",class:"w-full max-w-[100vw] pt-0 sm:w-max sm:max-w-[calc(100vw-2rem)]",children:($$anchor7,$$slotProps2)=>{ +{let $0=user_derived(()=>ms.filteredOptions.length===0&&ms.isCurrentModelInCache);DropdownMenuSearchable($$anchor7,{get searchValue(){return ms.searchTerm},onSearchChange:v=>ms.setSearchTerm(v),placeholder:"Search models...",onSearchKeyDown:handleSearchKeyDown,emptyMessage:"No models found.",get isEmpty(){return get$3($0)},children:($$anchor8,$$slotProps3)=>{var div_2=root_17$1();{const modelOption=($$anchor9,item=noop$3,hideOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2, +flatIndex}=item();return{option:option2,flatIndex}}),isSelected=user_derived(()=>currentModel()===get$3(computed_const).option.model||ms.activeId===get$3(computed_const).option.id),isHighlighted=user_derived(()=>get$3(computed_const).flatIndex===get$3(highlightedIndex)),isFav=user_derived(()=>ms.isFavorite(get$3(computed_const).option.model));ModelsSelectorOption($$anchor9,{get option(){return get$3(computed_const).option},get isSelected(){return get$3(isSelected)},get isHighlighted(){return get$3( +isHighlighted)},get isFav(){return get$3(isFav)},get hideOrgName(){return hideOrgName()},get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick},onMouseEnter:()=>set$1(highlightedIndex,get$3(computed_const).flatIndex,!0),onKeyDown:event2=>{(event2.key===KeyboardKey.ENTER||event2.key===KeyboardKey.SPACE)&&(event2.preventDefault(),ms.handleSelect(get$3(computed_const).option.id))}})};var node_15=child(div_2);{var consequent_5=$$anchor9=>{var button=root_19$1(),node_16=child( +button);ModelId(node_16,{get modelId(){return currentModel()},class:"flex-1",hideQuantization:!0}),next$1(2),reset(button),append($$anchor9,button)};if_block(node_15,$$render=>{!ms.isCurrentModelInCache&¤tModel()&&$$render(consequent_5)})}var node_17=sibling(node_15,2);{var consequent_6=$$anchor9=>{var p_2=root_20();append($$anchor9,p_2)};if_block(node_17,$$render=>{ms.filteredOptions.length===0&&$$render(consequent_6)})}var node_18=sibling(node_17,2);ModelsSelectorList(node_18,{get groups(){ +return ms.groupedFilteredOptions},get currentModel(){return currentModel()},get activeId(){return ms.activeId},sectionHeaderClass:"my-1.5 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none",get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick},get renderOption(){return modelOption}}),reset(div_2)}append($$anchor8,div_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})}),append($$anchor5,fragment_4)},$$slots:{default:!0}})}),append($$anchor3,fragment_3)}, +alternate_3=$$anchor3=>{var button_1=root_21(),node_19=child(button_1);Package(node_19,{class:"h-3.5 w-3.5"});var node_20=sibling(node_19,2);{var consequent_8=$$anchor4=>{var fragment_13=comment$2(),node_21=first_child(fragment_13);component(node_21,()=>Root$5,($$anchor5,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor5,{children:($$anchor6,$$slotProps)=>{var fragment_14=root_23(),node_22=first_child(fragment_14);{const child2=($$anchor7,$$arg0)=>{ModelId($$anchor7,spread_props({get modelId(){return get$3( +selectedOption).model},class:"min-w-0 overflow-hidden",hideOrgName:!1},()=>$$arg0?.().props))};component(node_22,()=>Tooltip_trigger,($$anchor7,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor7,{child:child2,$$slots:{child:!0}})})}var node_23=sibling(node_22,2);component(node_23,()=>Tooltip_content,($$anchor7,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor7,{children:($$anchor8,$$slotProps2)=>{var p_3=root_25(),text_1=child(p_3,!0);reset(p_3),template_effect(()=>set_text(text_1,get$3(selectedOption). +model)),append($$anchor8,p_3)},$$slots:{default:!0}})}),append($$anchor6,fragment_14)},$$slots:{default:!0}})}),append($$anchor4,fragment_13)};if_block(node_20,$$render=>{get$3(selectedOption)&&$$render(consequent_8)})}var node_24=sibling(node_20,2);{var consequent_9=$$anchor4=>{Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})};if_block(node_24,$$render=>{ms.updating&&$$render(consequent_9)})}reset(button_1),template_effect(()=>{set_class(button_1,1,clsx(["inline-flex cursor-pointer ite\ +ms-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(isOpen)&& +"text-foreground"])),button_1.disabled=disabled()||ms.updating}),delegated("click",button_1,()=>ms.handleOpenChange(!0)),append($$anchor3,button_1)};if_block(node_5,$$render=>{ms.isRouter?$$render(consequent_7):$$render(alternate_3,-1)})}append($$anchor2,fragment_2)};if_block(node2,$$render=>{ms.loading&&ms.options.length===0&&ms.isRouter?$$render(consequent):ms.options.length===0&&ms.isRouter?$$render(consequent_2,1):$$render(alternate_4,-1)})}reset(div);var node_25=sibling(div,2);{var consequent_10=$$anchor2=>{ +DialogModelInformation($$anchor2,{get open(){return ms.showModelDialog},onOpenChange:v=>ms.setShowModelDialog(v),get modelId(){return ms.infoModelId}})};if_block(node_25,$$render=>{ms.showModelDialog&&$$render(consequent_10)})}return template_effect(()=>set_class(div,1,clsx(["relative inline-flex flex-col items-end gap-1",className()]))),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_2$c=from_html("

          Loaded models

          ",1),root_4$5=from_html("

          Favorite models

          ", +1),root_8$5=from_html("

          "),root_7$5=from_html(" ",1),root_6$6=from_html("

          Available models

          ",1),root$j=from_html(" ",1);function ModelsSelectorList($$anchor,$$props){push$1($$props,!0);const defaultOption=($$anchor2,item=noop$3,hideOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2}=item();return{option:option2}}),isSelected=user_derived(()=>$$props.currentModel===get$3(computed_const).option.model||$$props.activeId===get$3(computed_const). +option.id),isFav=user_derived(()=>modelsStore.favoriteModelIds.has(get$3(computed_const).option.model));ModelsSelectorOption($$anchor2,{get option(){return get$3(computed_const).option},get isSelected(){return get$3(isSelected)},isHighlighted:!1,get isFav(){return get$3(isFav)},get hideOrgName(){return hideOrgName()},get onSelect(){return $$props.onSelect},get onInfoClick(){return $$props.onInfoClick},onMouseEnter:()=>{},onKeyDown:()=>{}})};let sectionHeaderClass=prop($$props,"sectionHeaderClass", +3,"my-1 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none"),orgHeaderClass=prop($$props,"orgHeaderClass",3,"px-2 py-2 text-[11px] font-semibold text-muted-foreground/50 select-none [&:not(:first-child)]:mt-1"),render3=user_derived(()=>$$props.renderOption??defaultOption);var fragment_1=root$j(),node2=first_child(fragment_1);{var consequent=$$anchor2=>{var fragment_2=root_2$c(),p2=first_child(fragment_2),node_1=sibling(p2,2);each(node_1,17,()=>$$props.groups.loaded,item=>`l\ +oaded-${item.option.id}`,($$anchor3,item)=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);snippet(node_2,()=>get$3(render3),()=>get$3(item),()=>!1),append($$anchor3,fragment_3)}),template_effect(()=>set_class(p2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_2)};if_block(node2,$$render=>{$$props.groups.loaded.length>0&&$$render(consequent)})}var node_3=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_4=root_4$5(),p_1=first_child(fragment_4),node_4=sibling(p_1,2); +each(node_4,17,()=>$$props.groups.favorites,item=>`fav-${item.option.id}`,($$anchor3,item)=>{var fragment_5=comment$2(),node_5=first_child(fragment_5);snippet(node_5,()=>get$3(render3),()=>get$3(item),()=>!0),append($$anchor3,fragment_5)}),template_effect(()=>set_class(p_1,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_4)};if_block(node_3,$$render=>{$$props.groups.favorites.length>0&&$$render(consequent_1)})}var node_6=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_6=root_6$6(), +p_2=first_child(fragment_6),node_7=sibling(p_2,2);each(node_7,17,()=>$$props.groups.available,group=>group.orgName,($$anchor3,group)=>{var fragment_7=root_7$5(),node_8=first_child(fragment_7);{var consequent_2=$$anchor4=>{var p_3=root_8$5(),text2=child(p_3,!0);reset(p_3),template_effect(()=>{set_class(p_3,1,clsx(orgHeaderClass())),set_text(text2,get$3(group).orgName)}),append($$anchor4,p_3)};if_block(node_8,$$render=>{get$3(group).orgName&&$$render(consequent_2)})}var node_9=sibling(node_8,2);each( +node_9,17,()=>get$3(group).items,item=>item.option.id,($$anchor4,item)=>{var fragment_8=comment$2(),node_10=first_child(fragment_8);snippet(node_10,()=>get$3(render3),()=>get$3(item),()=>!0),append($$anchor4,fragment_8)}),append($$anchor3,fragment_7)}),template_effect(()=>set_class(p_2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_6)};if_block(node_6,$$render=>{$$props.groups.available.length>0&&$$render(consequent_3)})}append($$anchor,fragment_1),pop()}var root_5$5=from_html('
          '),root_6$5=from_html('
          '),root_7$4=from_html('
          '), +root_8$4=from_html('
          '),root$i=from_html('
          ');function ModelsSelectorOption($$anchor,$$props){ +push$1($$props,!0);let hideOrgName=prop($$props,"hideOrgName",3,!1),currentRouterModels=user_derived(routerModels),serverStatus=user_derived(()=>get$3(currentRouterModels).find(m=>m.id===$$props.option.model)?.status?.value??null),isOperationInProgress=user_derived(()=>modelsStore.isModelOperationInProgress($$props.option.model)),isFailed=user_derived(()=>get$3(serverStatus)===ServerModelStatus.FAILED),isSleeping=user_derived(()=>get$3(serverStatus)===ServerModelStatus.SLEEPING),isLoaded=user_derived( +()=>(get$3(serverStatus)===ServerModelStatus.LOADED||get$3(isSleeping))&&!get$3(isOperationInProgress)),isLoading2=user_derived(()=>get$3(serverStatus)===ServerModelStatus.LOADING||get$3(isOperationInProgress));var div=root$i(),node2=child(div);ModelId(node2,{get modelId(){return $$props.option.model},get hideOrgName(){return hideOrgName()},get aliases(){return $$props.option.aliases},get tags(){return $$props.option.tags},class:"flex-1"});var div_1=sibling(node2,2),div_2=child(div_1),node_1=child( +div_2);{var consequent=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart_off},tooltip:"Remove from favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})},alternate=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart},tooltip:"Add to favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})};if_block(node_1,$$render=>{$$props.isFav? +$$render(consequent):$$render(alternate,-1)})}var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Info$1},tooltip:"Model information",class:"h-3 w-3 hover:text-foreground",onclick:()=>$$props.onInfoClick($$props.option.model)})};if_block(node_2,$$render=>{get$3(isLoaded)&&$$props.onInfoClick&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{Loader_circle($$anchor2,{class:"h-4 w-4 \ +animate-spin text-muted-foreground"})},consequent_3=$$anchor2=>{var div_3=root_5$5(),node_4=child(div_3);Circle_alert(node_4,{class:"h-3.5 w-3.5 text-red-500 group-hover:hidden"});var div_4=sibling(node_4,2),node_5=child(div_4);ActionIcon(node_5,{iconSize:"h-2.5 w-2.5",get icon(){return Rotate_cw},tooltip:"Retry loading model",class:"h-3 w-3 text-red-500 hover:text-foreground",onclick:()=>modelsStore.loadModel($$props.option.model),stopPropagationOnClick:!0}),reset(div_4),reset(div_3),append($$anchor2, +div_3)},consequent_4=$$anchor2=>{var div_5=root_6$5(),div_6=sibling(child(div_5),2),node_6=child(div_6);ActionIcon(node_6,{iconSize:"h-2.5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w-3 text-red-500 hover:text-red-600",onclick:e=>{e?.stopPropagation(),modelsStore.unloadModel($$props.option.model)}}),reset(div_6),reset(div_5),append($$anchor2,div_5)},consequent_5=$$anchor2=>{var div_7=root_7$4(),div_8=sibling(child(div_7),2),node_7=child(div_8);ActionIcon(node_7,{iconSize:"\ +h-2.5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w-3 text-red-500 hover:text-red-600",onclick:()=>modelsStore.unloadModel($$props.option.model),stopPropagationOnClick:!0}),reset(div_8),reset(div_7),append($$anchor2,div_7)},alternate_1=$$anchor2=>{var div_9=root_8$4(),div_10=sibling(child(div_9),2),node_8=child(div_10);ActionIcon(node_8,{iconSize:"h-2.5 w-2.5",get icon(){return Power},tooltip:"Load model",class:"h-3 w-3",onclick:()=>modelsStore.loadModel($$props.option. +model),stopPropagationOnClick:!0}),reset(div_10),reset(div_9),append($$anchor2,div_9)};if_block(node_3,$$render=>{get$3(isLoading2)?$$render(consequent_2):get$3(isFailed)?$$render(consequent_3,1):get$3(isSleeping)?$$render(consequent_4,2):get$3(isLoaded)?$$render(consequent_5,3):$$render(alternate_1,-1)})}reset(div_1),reset(div),template_effect(()=>{set_class(div,1,clsx(["group flex w-full items-center gap-2 rounded-sm p-2 text-left text-sm transition focus:outline-none","cursor-pointer hover:bg\ +-muted focus:bg-muted",($$props.isSelected||$$props.isHighlighted)&&"bg-accent text-accent-foreground",!($$props.isSelected||$$props.isHighlighted)&&"hover:bg-accent hover:text-accent-foreground",get$3(isLoaded)?"text-popover-foreground":"text-muted-foreground"])),set_attribute(div,"aria-selected",$$props.isSelected||$$props.isHighlighted)}),delegated("click",div,()=>$$props.onSelect($$props.option.id)),event("mouseenter",div,function(...$$args){$$props.onMouseEnter?.apply(this,$$args)}),delegated( +"keydown",div,function(...$$args){$$props.onKeyDown?.apply(this,$$args)}),delegated("click",div_2,e=>e.stopPropagation()),append($$anchor,div),pop()}delegate(["click","keydown"]);var root_1$7=from_html('
          Loading models…
          '),root_2$b=from_html('

          No models available.

          '),root_5$4=from_html('Select model'),root_11$2=from_html(" ",1),root_14=from_html( +'
          ',1),root_15$1=from_html('

          No models found.

          '),root_10$1=from_html('
          ',1),root_4$4=from_html(' ',1),root_16=from_html(''),root$h=from_html("
          ",1);function ModelsSelectorSheet($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop( +$$props,"currentModel",3,null),disabled=prop($$props,"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),sheetOpen=state$1(!1);const ms=useModelsSelector({currentModel:()=>currentModel(),useGlobalSelection:()=>useGlobalSelection(),onModelChange:()=>$$props.onModelChange,onOpenChange:open3=>{set$1(sheetOpen,open3,!0)}});function open2(){ms.handleOpenChange(!0)}function handleSheetOpenChange(open3){open3||ms.handleOpenChange( +!1)}var $$exports={open:open2},fragment=root$h(),div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$7(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2,div_1)},consequent_1=$$anchor2=>{var p2=root_2$b();append($$anchor2,p2)},alternate_3=$$anchor2=>{const selectedOption=user_derived(()=>ms.getDisplayOption());var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_6=$$anchor3=>{ +var fragment_2=root_4$4(),button=first_child(fragment_2),node_3=child(button);Package(node_3,{class:"h-3.5 w-3.5"});var node_4=sibling(node_3,2);{var consequent_2=$$anchor4=>{var span=root_5$4();append($$anchor4,span)},alternate=$$anchor4=>{{let $0=user_derived(()=>get$3(selectedOption)?.model||"");ModelId($$anchor4,{class:"text-xs",get modelId(){return get$3($0)},hideQuantization:!0,hideOrgName:!0})}};if_block(node_4,$$render=>{get$3(selectedOption)?$$render(alternate,-1):$$render(consequent_2)})} +var node_5=sibling(node_4,2);{var consequent_3=$$anchor4=>{Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})},alternate_1=$$anchor4=>{Chevron_down($$anchor4,{class:"h-3 w-3.5"})};if_block(node_5,$$render=>{ms.updating||ms.isLoadingModel?$$render(consequent_3):$$render(alternate_1,-1)})}reset(button);var node_6=sibling(button,2);component(node_6,()=>Root$3,($$anchor4,Sheet_Root)=>{Sheet_Root($$anchor4,{onOpenChange:handleSheetOpenChange,get open(){return get$3(sheetOpen)},set open($$value){ +set$1(sheetOpen,$$value,!0)},children:($$anchor5,$$slotProps)=>{var fragment_6=comment$2(),node_7=first_child(fragment_6);component(node_7,()=>Sheet_content,($$anchor6,Sheet_Content)=>{Sheet_Content($$anchor6,{side:"bottom",class:"max-h-[85vh] gap-1",children:($$anchor7,$$slotProps2)=>{var fragment_7=root_10$1(),node_8=first_child(fragment_7);component(node_8,()=>Sheet_header,($$anchor8,Sheet_Header)=>{Sheet_Header($$anchor8,{children:($$anchor9,$$slotProps3)=>{var fragment_8=root_11$2(),node_9=first_child( +fragment_8);component(node_9,()=>Sheet_title,($$anchor10,Sheet_Title)=>{Sheet_Title($$anchor10,{children:($$anchor11,$$slotProps4)=>{next$1();var text2=text$8("Select Model");append($$anchor11,text2)},$$slots:{default:!0}})});var node_10=sibling(node_9,2);component(node_10,()=>Sheet_description,($$anchor10,Sheet_Description)=>{Sheet_Description($$anchor10,{class:"sr-only",children:($$anchor11,$$slotProps4)=>{next$1();var text_1=text$8("Choose a model to use for the conversation");append($$anchor11, +text_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_8)},$$slots:{default:!0}})});var div_2=sibling(node_8,2),div_3=child(div_2),node_11=child(div_3);SearchInput(node_11,{placeholder:"Search models...",get value(){return ms.searchTerm},onInput:v=>ms.setSearchTerm(v)}),reset(div_3);var div_4=sibling(div_3,2),node_12=child(div_4);{var consequent_4=$$anchor8=>{var fragment_9=root_14(),button_1=first_child(fragment_9),span_1=child(button_1),text_2=child(span_1,!0);reset(span_1),next$1(2),reset( +button_1),next$1(2),template_effect(()=>set_text(text_2,get$3(selectedOption)?.name||currentModel())),append($$anchor8,fragment_9)};if_block(node_12,$$render=>{!ms.isCurrentModelInCache&¤tModel()&&$$render(consequent_4)})}var node_13=sibling(node_12,2);{var consequent_5=$$anchor8=>{var p_1=root_15$1();append($$anchor8,p_1)};if_block(node_13,$$render=>{ms.filteredOptions.length===0&&$$render(consequent_5)})}var node_14=sibling(node_13,2);ModelsSelectorList(node_14,{get groups(){return ms.groupedFilteredOptions}, +get currentModel(){return currentModel()},get activeId(){return ms.activeId},sectionHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none",orgHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none [&:not(:first-child)]:mt-2",get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick}}),reset(div_4),reset(div_2),append($$anchor7,fragment_7)},$$slots:{default:!0}})}),append($$anchor5,fragment_6)},$$slots:{default:!0}})}), +template_effect(()=>{set_class(button,1,clsx(["inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"\ +text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(sheetOpen)&&"text-foreground"])),button.disabled=disabled()||ms.updating}),delegated("click",button,()=>ms.handleOpenChange(!0)),append($$anchor3,fragment_2)},alternate_2=$$anchor3=>{var button_2=root_16(),node_15=child(button_2);Package(node_15,{class:"h-3.5 w-3.5"});var node_16=sibling(node_15,2);{let $0=user_derived(()=>get$3(selectedOption)?.model||"");TruncatedText(node_16,{get text(){return get$3($0)}, +class:"font-medium"})}var node_17=sibling(node_16,2);{var consequent_7=$$anchor4=>{Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})};if_block(node_17,$$render=>{ms.updating&&$$render(consequent_7)})}reset(button_2),template_effect(()=>{set_class(button_2,1,clsx(["inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-o\ +ffset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400"])),button_2.disabled=disabled()||ms.updating}),delegated("click",button_2,()=>ms.handleOpenChange(!0)),append($$anchor3,button_2)};if_block(node_2,$$render=>{ms.isRouter?$$render(consequent_6):$$render(alternate_2, +-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{ms.loading&&ms.options.length===0&&ms.isRouter?$$render(consequent):ms.options.length===0&&ms.isRouter?$$render(consequent_1,1):$$render(alternate_3,-1)})}reset(div);var node_18=sibling(div,2);{var consequent_8=$$anchor2=>{DialogModelInformation($$anchor2,{get open(){return ms.showModelDialog},onOpenChange:v=>ms.setShowModelDialog(v),get modelId(){return ms.infoModelId}})};if_block(node_18,$$render=>{ms.showModelDialog&&$$render(consequent_8)})} +return template_effect(()=>set_class(div,1,clsx(["relative inline-flex flex-col items-end gap-1",className()]))),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_4$3=from_html(" "),root_5$3=from_html(" "),root_7$3=from_html(" "),root_9$3=from_html(" "),root_2$a=from_html(' ');function ModelId($$anchor,$$props){push$1($$props,!0);let hideOrgName=prop( +$$props,"hideOrgName",3,!1),showRaw=prop($$props,"showRaw",3,void 0),hideQuantization=prop($$props,"hideQuantization",3,!1),className=prop($$props,"class",3,""),rest=rest_props($$props,["$$slots","$$events","$$legacy","modelId","hideOrgName","showRaw","hideQuantization","aliases","tags","class"]);const badgeClass="inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono bg-foreground/15 dark:bg-foreground/10 text-\ +foreground [a&]:hover:bg-foreground/25",tagBadgeClass="inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground";let parsed=user_derived(()=>ModelsService.parseModelId($$props.modelId)),resolvedShowRaw=user_derived(()=>showRaw()??config$1().showRawModelNames??!1),displayName=user_derived(()=>get$3(parsed).modelName??$$props.modelId),allAliases=user_derived( +()=>$$props.aliases??[]),allTags=user_derived(()=>[...get$3(parsed).tags??[],...$$props.tags??[]]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{TruncatedText($$anchor2,spread_props({get class(){return`font-medium ${className()??""}`},showTooltip:!1,get text(){return $$props.modelId}},()=>rest))},alternate=$$anchor2=>{var span=root_2$a();attribute_effect(span,()=>({class:`flex min-w-0 flex-wrap items-center gap-1 ${className()??""}`,...rest}));var span_1=child( +span),node_1=child(span_1);{var consequent_1=$$anchor3=>{var text2=text$8();template_effect(()=>set_text(text2,`${get$3(parsed).orgName??""}/`)),append($$anchor3,text2)};if_block(node_1,$$render=>{!hideOrgName()&&get$3(parsed).orgName&&$$render(consequent_1)})}var text_1=sibling(node_1,1,!0);reset(span_1);var node_2=sibling(span_1,2);{var consequent_2=$$anchor3=>{var span_2=root_4$3();set_class(span_2,1,clsx(badgeClass));var text_2=child(span_2);reset(span_2),template_effect(()=>set_text(text_2, +`${get$3(parsed).params??""}${get$3(parsed).activatedParams?`-${get$3(parsed).activatedParams}`:""}`)),append($$anchor3,span_2)};if_block(node_2,$$render=>{get$3(parsed).params&&$$render(consequent_2)})}var node_3=sibling(node_2,2);{var consequent_3=$$anchor3=>{var span_3=root_5$3();set_class(span_3,1,clsx(badgeClass));var text_3=child(span_3,!0);reset(span_3),template_effect(()=>set_text(text_3,get$3(parsed).quantization)),append($$anchor3,span_3)};if_block(node_3,$$render=>{get$3(parsed).quantization&& +!hideQuantization()&&$$render(consequent_3)})}var node_4=sibling(node_3,2);{var consequent_4=$$anchor3=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);each(node_5,16,()=>get$3(allAliases),alias=>alias,($$anchor4,alias)=>{var span_4=root_7$3();set_class(span_4,1,clsx(badgeClass));var text_4=child(span_4,!0);reset(span_4),template_effect(()=>set_text(text_4,alias)),append($$anchor4,span_4)}),append($$anchor3,fragment_3)};if_block(node_4,$$render=>{get$3(allAliases).length>0&&$$render(consequent_4)})} +var node_6=sibling(node_4,2);{var consequent_5=$$anchor3=>{var fragment_4=comment$2(),node_7=first_child(fragment_4);each(node_7,16,()=>get$3(allTags),tag=>tag,($$anchor4,tag)=>{var span_5=root_9$3();set_class(span_5,1,clsx(tagBadgeClass));var text_5=child(span_5,!0);reset(span_5),template_effect(()=>set_text(text_5,tag)),append($$anchor4,span_5)}),append($$anchor3,fragment_4)};if_block(node_6,$$render=>{get$3(allTags).length>0&&$$render(consequent_5)})}reset(span),template_effect(()=>set_text(text_1, +get$3(displayName))),append($$anchor2,span)};if_block(node2,$$render=>{get$3(resolvedShowRaw)?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$5=from_html(" ",1),root_8$3=from_html(" ",1);function ModelBadge($$anchor,$$props){push$1($$props,!0);const badgeContent=$$anchor2=>{BadgeInfo($$anchor2,{get class(){return className()},get onclick(){return $$props.onclick},icon:$$anchor3=>{Package($$anchor3,{class:"h-3 w-3"})},children:($$anchor3,$$slotProps)=>{ +var fragment_2=root_3$5(),node2=first_child(fragment_2);{var consequent=$$anchor4=>{ModelId($$anchor4,{get modelId(){return get$3(model)}})};if_block(node2,$$render=>{get$3(model)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor4=>{{let $0=user_derived(()=>get$3(model)||"");ActionIconCopyToClipboard($$anchor4,{get text(){return get$3($0)},ariaLabel:"Copy model name"})}};if_block(node_1,$$render=>{showCopyIcon()&&$$render(consequent_1)})}append($$anchor3,fragment_2)}, +$$slots:{icon:!0,default:!0}})};let className=prop($$props,"class",3,""),showCopyIcon=prop($$props,"showCopyIcon",3,!1),showTooltip=prop($$props,"showTooltip",3,!1),model=user_derived(()=>$$props.model||modelsStore.singleModelName),isModelMode=user_derived(()=>serverStore.isModelMode),shouldShow=user_derived(()=>get$3(model)&&($$props.model!==void 0||get$3(isModelMode)));var fragment_5=comment$2(),node_2=first_child(fragment_5);{var consequent_3=$$anchor2=>{var fragment_6=comment$2(),node_3=first_child( +fragment_6);{var consequent_2=$$anchor3=>{var fragment_7=comment$2(),node_4=first_child(fragment_7);component(node_4,()=>Root$5,($$anchor4,Tooltip_Root)=>{Tooltip_Root($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_8=root_8$3(),node_5=first_child(fragment_8);component(node_5,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor6,{children:($$anchor7,$$slotProps2)=>{badgeContent($$anchor7)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Tooltip_content, +($$anchor6,Tooltip_Content)=>{Tooltip_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.onclick?"Click for model details":get$3(model))),append($$anchor7,text2)},$$slots:{default:!0}})}),append($$anchor5,fragment_8)},$$slots:{default:!0}})}),append($$anchor3,fragment_7)},alternate=$$anchor3=>{badgeContent($$anchor3)};if_block(node_3,$$render=>{showTooltip()?$$render(consequent_2):$$render(alternate,-1)})}append($$anchor2, +fragment_6)};if_block(node_2,$$render=>{get$3(shouldShow)&&$$render(consequent_3)})}append($$anchor,fragment_5),pop()}var root_1$6=from_html('
          '),root_2$9=from_html(" ",1),root$g=from_html('
          ',1);function DropdownMenuSearchable($$anchor,$$props){push$1($$props,!0);let placeholder=prop($$props,"placeholder",3,"S\ +earch..."),searchValue=prop($$props,"searchValue",15,""),emptyMessage=prop($$props,"emptyMessage",3,"No items found"),isEmpty=prop($$props,"isEmpty",3,!1);var fragment=root$g(),div=first_child(fragment),node2=child(div);SearchInput(node2,{get placeholder(){return placeholder()},get onInput(){return $$props.onSearchChange},get onKeyDown(){return $$props.onSearchKeyDown},get value(){return searchValue()},set value($$value){searchValue($$value)}}),reset(div);var div_1=sibling(div,2),node_1=child(div_1); +snippet(node_1,()=>$$props.children);var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var div_2=root_1$6(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor2,div_2)};if_block(node_2,$$render=>{isEmpty()&&$$render(consequent)})}reset(div_1);var node_3=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment_1=root_2$9(),node_4=first_child(fragment_1);component(node_4,()=>Dropdown_menu_separator,($$anchor3,DropdownMenu_Separator)=>{DropdownMenu_Separator( +$$anchor3,{})});var node_5=sibling(node_4,2);snippet(node_5,()=>$$props.footer),append($$anchor2,fragment_1)};if_block(node_3,$$render=>{$$props.footer&&$$render(consequent_1)})}append($$anchor,fragment),pop()}const iconComponent=($$anchor,IconComponent=noop$3,className=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);component(node2,IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{get class(){return className()}})}),append($$anchor,fragment)};var root_6$4=from_html( +' ',1),root_7$2=from_html("

          "),root_5$2=from_html(" ",1),root_12=from_html('
          ',1),root_10=from_html(" ",1),root_2$8=from_html(" ",1);function DropdownMenuActions($$anchor,$$props){push$1($$props,!0);let triggerClass=prop($$props,"triggerClass",3,""),align=prop($$props,"align",3,"end"),open2=prop($$props,"open",15,!1);var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1, +()=>Root$4,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_2=root_2$8(),node_2=first_child(fragment_2);component(node_2,()=>Dropdown_menu_trigger,($$anchor4,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor4,{get class(){return`flex h-6 w-6 cursor-pointer items-center justify-center rounded-md p-0 text-sm font-medium transition-colors hover:bg-accent hover:text-accent-for\ +eground focus:bg-accent focus:text-accent-foreground focus:outline-none disabled:pointer-events-none disabled:opacity-50 data-[state=open]:bg-accent data-[state=open]:text-accent-foreground ${triggerClass()??""}`},onclick:e=>e.stopPropagation(),children:($$anchor5,$$slotProps2)=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);{var consequent=$$anchor6=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);component(node_4,()=>Root$5,($$anchor7,Tooltip_Root)=>{Tooltip_Root($$anchor7, +{children:($$anchor8,$$slotProps3)=>{var fragment_5=root_5$2(),node_5=first_child(fragment_5);component(node_5,()=>Tooltip_trigger,($$anchor9,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor9,{children:($$anchor10,$$slotProps4)=>{var fragment_6=root_6$4(),node_6=first_child(fragment_6);iconComponent(node_6,()=>$$props.triggerIcon,()=>"h-3 w-3");var span=sibling(node_6,2),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,$$props.triggerTooltip)),append($$anchor10,fragment_6)},$$slots:{ +default:!0}})});var node_7=sibling(node_5,2);component(node_7,()=>Tooltip_content,($$anchor9,Tooltip_Content)=>{Tooltip_Content($$anchor9,{children:($$anchor10,$$slotProps4)=>{var p2=root_7$2(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,$$props.triggerTooltip)),append($$anchor10,p2)},$$slots:{default:!0}})}),append($$anchor8,fragment_5)},$$slots:{default:!0}})}),append($$anchor6,fragment_4)},alternate=$$anchor6=>{iconComponent($$anchor6,()=>$$props.triggerIcon,()=>"h-3 w-3")}; +if_block(node_3,$$render=>{$$props.triggerTooltip?$$render(consequent):$$render(alternate,-1)})}append($$anchor5,fragment_3)},$$slots:{default:!0}})});var node_8=sibling(node_2,2);component(node_8,()=>Dropdown_menu_content,($$anchor4,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor4,{get align(){return align()},class:"z-[999999] w-48",children:($$anchor5,$$slotProps2)=>{var fragment_8=comment$2(),node_9=first_child(fragment_8);each(node_9,19,()=>$$props.actions,action2=>action2.label,($$anchor6,action2,index2)=>{ +var fragment_9=root_10(),node_10=first_child(fragment_9);{var consequent_1=$$anchor7=>{var fragment_10=comment$2(),node_11=first_child(fragment_10);component(node_11,()=>Dropdown_menu_separator,($$anchor8,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor8,{})}),append($$anchor7,fragment_10)};if_block(node_10,$$render=>{get$3(action2).separator&&get$3(index2)>0&&$$render(consequent_1)})}var node_12=sibling(node_10,2);component(node_12,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item)=>{ +DropdownMenu_Item($$anchor7,{get onclick(){return get$3(action2).onclick},get variant(){return get$3(action2).variant},get disabled(){return get$3(action2).disabled},class:"flex items-center justify-between hover:[&>kbd]:opacity-100",children:($$anchor8,$$slotProps3)=>{var fragment_11=root_12(),div=first_child(fragment_11),node_13=child(div);iconComponent(node_13,()=>get$3(action2).icon,()=>`h-4 w-4 ${get$3(action2).variant==="destructive"?"text-destructive":""}`);var text_2=sibling(node_13);reset( +div);var node_14=sibling(div,2);{var consequent_2=$$anchor9=>{KeyboardShortcutInfo($$anchor9,{get keys(){return get$3(action2).shortcut},get variant(){return get$3(action2).variant}})};if_block(node_14,$$render=>{get$3(action2).shortcut&&$$render(consequent_2)})}template_effect(()=>set_text(text_2,` ${get$3(action2).label??""}`)),append($$anchor8,fragment_11)},$$slots:{default:!0}})}),append($$anchor6,fragment_9)}),append($$anchor5,fragment_8)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)}, +$$slots:{default:!0}})}),append($$anchor,fragment_1),pop()}function circIn(t){return 1-Math.sqrt(1-t*t)}var root_2$7=from_html("
          "),root$f=from_html('
          ',1);function DesktopIconStrip($$anchor,$$props){push$1($$props,!0);let sidebarOpen=prop($$props,"sidebarOpen",3,!1);const{handleKeydown}=useKeyboardShortcuts({activateSearchMode:()=>$$props.onSearchClick()});let initialized=state$1(!1),showIcons=user_derived( +()=>!sidebarOpen());set$1(showIcons,!1),onMount$1(()=>{set$1(showIcons,!sidebarOpen()),setTimeout(()=>{set$1(initialized,!0)},ICON_STRIP_TRANSITION_DELAY_MULTIPLIER*SIDEBAR_ACTIONS_ITEMS.length)});var fragment=root$f();event("keydown",$window,handleKeydown);var div=first_child(fragment),aside=sibling(div,2),div_1=child(aside);each(div_1,23,()=>SIDEBAR_ACTIONS_ITEMS,item=>item.tooltip,($$anchor2,item,i)=>{const onclick=user_derived(()=>get$3(item).route?()=>goto(get$3(item).route):$$props.onSearchClick), +isActive=user_derived(()=>get$3(item).activeRouteId?page$1.route.id===get$3(item).activeRouteId:get$3(item).activeRoutePrefix?!!page$1.route.id?.startsWith(get$3(item).activeRoutePrefix):!1);var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var div_2=root_2$7(),node_1=child(div_2);{let $0=user_derived(()=>get$3(isActive)?"bg-accent text-accent-foreground":"");ActionIcon(node_1,{get icon(){return get$3(item).icon},get tooltip(){return get$3(item).tooltip},get tooltipSide(){ +return TooltipSide.RIGHT},size:"lg",iconSize:"h-4 w-4",get class(){return`h-9 w-9 rounded-full hover:bg-accent! ${get$3($0)??""}`},get onclick(){return get$3(onclick)}})}reset(div_2),transition(1,div_2,()=>fade,()=>({duration:ICON_STRIP_TRANSITION_DURATION,delay:get$3(initialized)?0:ICON_STRIP_TRANSITION_DELAY_MULTIPLIER+get$3(i)*ICON_STRIP_TRANSITION_DELAY_MULTIPLIER,easing:circIn})),append($$anchor3,div_2)};if_block(node2,$$render=>{get$3(showIcons)&&$$render(consequent)})}append($$anchor2,fragment_1)}), +reset(div_1),reset(aside),template_effect(()=>{set_class(div,1,`hidden shrink-0 transition-[width] duration-200 ease-linear md:block ${sidebarOpen()?"w-0":"w-[calc(var(--sidebar-width-icon)+1.5rem)]"}`),set_class(aside,1,`fixed top-0 bottom-0 left-0 z-10 hidden w-[calc(var(--sidebar-width-icon)+1.5rem)] flex-col items-center justify-between py-3 transition-opacity duration-200 ease-linear md:flex ${sidebarOpen()?"pointer-events-none opacity-0":"opacity-100"}`)}),append($$anchor,fragment),pop()}const itemIcon=($$anchor,IconComponent=noop$3)=>{ +var fragment=comment$2(),node2=first_child(fragment);component(node2,IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{class:"h-4 w-4"})}),append($$anchor,fragment)};var root_6$3=from_html('
          ',1),root_9$2=from_html('
          ',1),root$e=from_html('
          ');function SidebarNavigationActions($$anchor,$$props){push$1($$props,!0);let isSearchModeActive=prop( +$$props,"isSearchModeActive",15),searchQuery=prop($$props,"searchQuery",15),isCancelAlwaysVisible=prop($$props,"isCancelAlwaysVisible",3,!1),searchInputRef=state$1(null);function handleSearchModeDeactivate(){isSearchModeActive(!1),searchQuery(""),$$props.onSearchDeactivated?.()}function activateSearch(){isSearchModeActive(!0),queueMicrotask(()=>get$3(searchInputRef)?.focus())}var $$exports={activateSearch},div=root$e(),node_1=child(div);{var consequent=$$anchor2=>{SearchInput($$anchor2,{onClose:handleSearchModeDeactivate, +onKeyDown:e=>e.key==="Escape"&&handleSearchModeDeactivate(),placeholder:"Search conversations...",get isCancelAlwaysVisible(){return isCancelAlwaysVisible()},get value(){return searchQuery()},set value($$value){searchQuery($$value)},get ref(){return get$3(searchInputRef)},set ref($$value){set$1(searchInputRef,$$value,!0)}})},alternate_1=$$anchor2=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);each(node_2,17,()=>SIDEBAR_ACTIONS_ITEMS,item=>item.route,($$anchor3,item)=>{var fragment_3=comment$2(), +node_3=first_child(fragment_3);{var consequent_2=$$anchor4=>{Button($$anchor4,{class:"w-full justify-between px-2 backdrop-blur-none! hover:[&>kbd]:opacity-100",onclick:activateSearch,variant:"ghost",children:($$anchor5,$$slotProps)=>{var fragment_5=root_6$3(),div_1=first_child(fragment_5),node_4=child(div_1);itemIcon(node_4,()=>get$3(item).icon);var text2=sibling(node_4);reset(div_1);var node_5=sibling(div_1,2);{var consequent_1=$$anchor6=>{KeyboardShortcutInfo($$anchor6,{get keys(){return get$3( +item).keys}})};if_block(node_5,$$render=>{get$3(item).keys&&$$render(consequent_1)})}template_effect(()=>set_text(text2,` ${get$3(item).tooltip??""}`)),append($$anchor5,fragment_5)},$$slots:{default:!0}})},alternate=$$anchor4=>{{let $0=user_derived(()=>get$3(item).activeRouteId&&page$1.route.id===get$3(item).activeRouteId||get$3(item).activeRoutePrefix&&page$1.route.id?.startsWith(get$3(item).activeRoutePrefix)?"bg-accent text-accent-foreground":"");Button($$anchor4,{get class(){return`w-full ju\ +stify-between px-2 backdrop-blur-none! hover:[&>kbd]:opacity-100 ${get$3($0)??""}`},get href(){return get$3(item).route},get onclick(){return $$props.handleMobileSidebarItemClick},variant:"ghost",children:($$anchor5,$$slotProps)=>{var fragment_8=root_9$2(),div_2=first_child(fragment_8),node_6=child(div_2);itemIcon(node_6,()=>get$3(item).icon);var text_1=sibling(node_6);reset(div_2);var node_7=sibling(div_2,2);{var consequent_3=$$anchor6=>{KeyboardShortcutInfo($$anchor6,{get keys(){return get$3(item). +keys}})};if_block(node_7,$$render=>{get$3(item).keys&&$$render(consequent_3)})}template_effect(()=>set_text(text_1,` ${get$3(item).tooltip??""}`)),append($$anchor5,fragment_8)},$$slots:{default:!0}})}};if_block(node_3,$$render=>{get$3(item).route?$$render(alternate,-1):$$render(consequent_2)})}append($$anchor3,fragment_3)}),append($$anchor2,fragment_2)};if_block(node_1,$$render=>{isSearchModeActive()?$$render(consequent):$$render(alternate_1,-1)})}return reset(div),append($$anchor,div),pop($$exports)} +var root_3$4=from_html(''),root_4$2=from_html("

          See parent conversation

          "),root_2$6=from_html(" ",1),root_7$1=from_html('
          '),root_8$2=from_html( +"

          Stop generation

          "),root_6$2=from_html(" ",1),root_9$1=from_html('
          '),root$d=from_html('');function SidebarNavigationConversationItem($$anchor,$$props){push$1($$props,!0);let isActive=prop($$props,"isActive",3,!1),depth=prop($$props,"depth",3,0),renderActionsDropdown=state$1(!1),dropdownOpen=state$1(!1),isLoading2=user_derived(()=>getAllLoadingChats(). +includes($$props.conversation.id));function handleEdit(event2){event2.stopPropagation(),$$props.onEdit?.($$props.conversation.id)}function handleDelete2(event2){event2.stopPropagation(),$$props.onDelete?.($$props.conversation.id)}function handleStop(event2){event2.stopPropagation(),$$props.onStop?.($$props.conversation.id)}function handleGlobalEditEvent(event2){event2.detail.conversationId===$$props.conversation.id&&isActive()&&handleEdit(event2)}function handleMouseLeave(){get$3(dropdownOpen)|| +set$1(renderActionsDropdown,!1)}function handleMouseOver(){set$1(renderActionsDropdown,!0)}function handleSelect(){$$props.onSelect?.($$props.conversation.id)}user_effect(()=>{get$3(dropdownOpen)||set$1(renderActionsDropdown,!1)}),onMount$1(()=>(document.addEventListener("edit-active-conversation",handleGlobalEditEvent),()=>{document.removeEventListener("edit-active-conversation",handleGlobalEditEvent)}));var button=root$d(),div=child(button);let styles2;var node2=child(div);{var consequent=$$anchor2=>{ +var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$6(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var a=root_3$4(),node_3=child(a);Git_branch(node_3,{class:"h-3.5 w-3.5"}),reset(a),template_effect($0=>set_attribute(a,"href",$0),[()=>RouterService. +chat($$props.conversation.forkedFromConversationId)]),append($$anchor6,a)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$2();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{depth()>0&&$$render(consequent)})}var node_5=sibling(node2,2);{var consequent_1=$$anchor2=>{ +var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor3,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$2(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var div_1=root_7$1(),node_8=child(div_1);Loader_circle(node_8,{class:"loading-icon h-3.5 w-3.5 animate-spin"});var node_9=sibling(node_8, +2);Square(node_9,{class:"stop-icon hidden h-3 w-3 fill-current text-destructive"}),reset(div_1),delegated("click",div_1,handleStop),delegated("keydown",div_1,e=>e.key==="Enter"&&handleStop(e)),append($$anchor6,div_1)},$$slots:{default:!0}})});var node_10=sibling(node_7,2);component(node_10,()=>Tooltip_content,($$anchor5,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_1=root_8$2();append($$anchor6,p_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_3)}, +$$slots:{default:!0}})}),append($$anchor2,fragment_2)};if_block(node_5,$$render=>{get$3(isLoading2)&&$$render(consequent_1)})}var node_11=sibling(node_5,2);TruncatedText(node_11,{get text(){return $$props.conversation.name},class:"text-sm font-medium",showTooltip:!1}),reset(div);var node_12=sibling(div,2);{var consequent_2=$$anchor2=>{var div_2=root_9$1(),node_13=child(div_2);{let $0=user_derived(()=>[{icon:Pencil,label:"Edit",onclick:handleEdit,shortcut:["shift","cmd","e"]},{icon:Download,label:"\ +Export",onclick:e=>{e.stopPropagation(),conversationsStore.downloadConversation($$props.conversation.id)},shortcut:["shift","cmd","s"]},{icon:Trash_2,label:"Delete",onclick:handleDelete2,variant:"destructive",shortcut:["shift","cmd","d"],separator:!0}]);DropdownMenuActions(node_13,{get triggerIcon(){return Ellipsis},triggerTooltip:"More actions",get actions(){return get$3($0)},get open(){return get$3(dropdownOpen)},set open($$value){set$1(dropdownOpen,$$value,!0)}})}reset(div_2),append($$anchor2, +div_2)};if_block(node_12,$$render=>{get$3(renderActionsDropdown)&&$$render(consequent_2)})}reset(button),template_effect(()=>{set_class(button,1,`group flex min-h-9 w-full cursor-pointer items-center justify-between space-x-3 rounded-lg py-1.5 text-left transition-colors hover:bg-foreground/10 ${isActive()?"bg-foreground/5 text-accent-foreground":""} px-3`,"svelte-19ekn76"),styles2=set_style(div,"",styles2,{"padding-left":`${depth()*FORK_TREE_DEPTH_PADDING}px`})}),delegated("click",button,handleSelect), +delegated("mouseover",button,handleMouseOver),event("mouseleave",button,handleMouseLeave),append($$anchor,button),pop()}delegate(["click","mouseover","keydown"]);const SIDEBAR_COOKIE_NAME="sidebar:state",SIDEBAR_COOKIE_MAX_AGE=3600*24*7,SIDEBAR_MIN_WIDTH="18rem",SIDEBAR_MAX_WIDTH="32rem",SIDEBAR_WIDTH_ICON="3rem",SIDEBAR_KEYBOARD_SHORTCUT="b";class SidebarState{props;#open=user_derived(()=>this.props.open());get open(){return get$3(this.#open)}set open(value){set$1(this.#open,value)}#openMobile=state$1( +!1);get openMobile(){return get$3(this.#openMobile)}set openMobile(value){set$1(this.#openMobile,value,!0)}#sidebarWidth=state$1(proxy(SIDEBAR_MIN_WIDTH));get sidebarWidth(){return get$3(this.#sidebarWidth)}set sidebarWidth(value){set$1(this.#sidebarWidth,value,!0)}#isResizing=state$1(!1);get isResizing(){return get$3(this.#isResizing)}set isResizing(value){set$1(this.#isResizing,value,!0)}setOpen;#isMobile;#state=user_derived(()=>this.open?"expanded":"collapsed");get state(){return get$3(this.#state)}set state(value){ +set$1(this.#state,value)}constructor(props){this.setOpen=props.setOpen,this.#isMobile=new IsMobile,this.props=props}get isMobile(){return this.#isMobile.current}handleShortcutKeydown=e=>{e.key===SIDEBAR_KEYBOARD_SHORTCUT&&(e.metaKey||e.ctrlKey)&&(e.preventDefault(),this.toggle())};setOpenMobile=value=>{this.openMobile=value};toggle=()=>{this.setOpen(!this.open)}}const SYMBOL_KEY="scn-sidebar";function setSidebar(props){return setContext(Symbol.for(SYMBOL_KEY),new SidebarState(props))}function useSidebar(){ +return getContext(Symbol.for(SYMBOL_KEY))}var root$c=from_html("
          ");function Sidebar_group_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$c();attribute_effect(div,$0=>({"data-slot":"sidebar-group-content","data-sidebar":"group-content",class:$0,...restProps}),[()=>cn$1("w-full text-sm",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props. +children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_2$5=from_html("
          ");function Sidebar_group_label($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","children","child","class"]);const mergedProps=user_derived(()=>({class:cn$1("text-sidebar-foreground/70 ring-sidebar-ring outline-hidden flex h-8 shrink-0 items-center rounded-md px-\ +2 text-xs font-medium transition-[margin,opacity] duration-200 ease-linear focus-visible:ring-2 [&>svg]:size-4 [&>svg]:shrink-0","group-data-[collapsible=icon]:-mt-8 group-data-[collapsible=icon]:opacity-0",$$props.class),"data-slot":"sidebar-group-label","data-sidebar":"group-label",...restProps}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})), +append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$5();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root$b=from_html("
          ");function Sidebar_group($$anchor,$$props){push$1($$props,!0);let ref2=prop( +$$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$b();attribute_effect(div,$0=>({"data-slot":"sidebar-group","data-sidebar":"group",class:$0,...restProps}),[()=>cn$1("relative flex w-full min-w-0 flex-col p-2",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$a=from_html("
          ");function Sidebar_header($$anchor,$$props){ +push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$a();attribute_effect(div,$0=>({"data-slot":"sidebar-header","data-sidebar":"header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 p-2",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$9=from_html("
          <\ +!>
          ");function Sidebar_inset($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var main2=root$9();attribute_effect(main2,$0=>({"data-slot":"sidebar-inset",class:$0,...restProps}),[()=>cn$1("relative flex w-full flex-1 flex-col","md:peer-data-[variant=inset]:m-2 md:peer-data-[variant=inset]:ml-0 md:peer-data-[variant=inset]:rounded-xl md:peer-data-[variant=inset]:shadow-sm md:pee\ +r-data-[variant=inset]:peer-data-[state=collapsed]:ml-2",$$props.class)]);var node2=child(main2);snippet(node2,()=>$$props.children??noop$3),reset(main2),bind_this(main2,$$value=>ref2($$value),()=>ref2()),append($$anchor,main2),pop()}tv({base:"peer/menu-button outline-hidden ring-sidebar-ring hover:bg-sidebar-accent hover:text-sidebar-accent-foreground active:bg-sidebar-accent active:text-sidebar-accent-foreground group-has-data-[sidebar=menu-action]/menu-item:pr-8 data-[active=true]:bg-sidebar-\ +accent data-[active=true]:text-sidebar-accent-foreground data-[state=open]:hover:bg-sidebar-accent data-[state=open]:hover:text-sidebar-accent-foreground group-data-[collapsible=icon]:size-8! group-data-[collapsible=icon]:p-2! flex w-full items-center gap-2 overflow-hidden rounded-md py-2 px-1 text-left text-sm transition-[width,height,padding] focus-visible:ring-2 disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 data-[active=true]:font-\ +medium [&>span:last-child]:truncate [&>svg]:size-4 [&>svg]:shrink-0",variants:{variant:{default:"hover:bg-sidebar-accent hover:text-sidebar-accent-foreground",outline:"bg-background hover:bg-sidebar-accent hover:text-sidebar-accent-foreground shadow-[0_0_0_1px_var(--sidebar-border)] hover:shadow-[0_0_0_1px_var(--sidebar-accent)]"},size:{default:"h-8 text-sm",sm:"h-7 text-xs",lg:"group-data-[collapsible=icon]:p-0! h-12 text-sm"}},defaultVariants:{variant:"default",size:"default"}});var root$8=from_html( +"
          • ");function Sidebar_menu_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var li2=root$8();attribute_effect(li2,$0=>({"data-slot":"sidebar-menu-item","data-sidebar":"menu-item",class:$0,...restProps}),[()=>cn$1("group/menu-item relative",$$props.class)]);var node2=child(li2);snippet(node2,()=>$$props.children??noop$3),reset(li2),bind_this(li2,$$value=>ref2($$value), +()=>ref2()),append($$anchor,li2),pop()}var root$7=from_html("
          ");function Sidebar_menu($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var ul=root$7();attribute_effect(ul,$0=>({"data-slot":"sidebar-menu","data-sidebar":"menu",class:$0,...restProps}),[()=>cn$1("flex w-full min-w-0 flex-col gap-1",$$props.class)]);var node2=child(ul);snippet(node2,()=>$$props.children??noop$3), +reset(ul),bind_this(ul,$$value=>ref2($$value),()=>ref2()),append($$anchor,ul),pop()}var root$6=from_html("
          ");function Sidebar_provider($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!0),onOpenChange=prop($$props,"onOpenChange",3,()=>{}),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","open","onOpenChange","class","style","children"]);const sidebar=setSidebar({open:()=>open2(),setOpen:value=>{open2(value),onOpenChange()( +value),document.cookie=`${SIDEBAR_COOKIE_NAME}=${open2()}; path=/; max-age=${SIDEBAR_COOKIE_MAX_AGE}`}});var div=root$6();event("keydown",$window,function(...$$args){sidebar.handleShortcutKeydown?.apply(this,$$args)}),attribute_effect(div,$0=>({"data-slot":"sidebar-wrapper",style:`--sidebar-width: ${sidebar.sidebarWidth??""}; --sidebar-min-width: ${SIDEBAR_MIN_WIDTH}; --sidebar-max-width: ${SIDEBAR_MAX_WIDTH}; --sidebar-width-icon: ${SIDEBAR_WIDTH_ICON}; ${$$props.style??""}`,class:$0,...restProps}), +[()=>cn$1("group/sidebar-wrapper flex min-h-svh w-full has-data-[variant=inset]:bg-sidebar",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_1$5=from_html(' Toggle Sidebar',1);function Sidebar_trigger($$anchor,$$props){push$1($$props,!0),prop($$props,"ref",11,null);let restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","\ +class","onclick"]);const sidebar=useSidebar();{let $0=user_derived(()=>$$props.class),$1=user_derived(()=>sidebar.open?"top-1.5":"top-0"),$2=user_derived(()=>sidebar.isResizing?"!duration-0":"");Button($$anchor,spread_props({"data-sidebar":"trigger","data-slot":"sidebar-trigger",variant:"ghost",size:"icon-lg",get class(){return`rounded-full backdrop-blur-lg ${get$3($0)??""} ${get$3($1)??""} md:left-[calc(var(--sidebar-width)-3.25rem)] ${get$3($2)??""}`},type:"button",onclick:e=>{$$props.onclick?.( +e),sidebar.toggle()}},()=>restProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$5(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{Panel_left_close($$anchor3,{})},alternate=$$anchor3=>{Panel_left($$anchor3,{})};if_block(node2,$$render=>{sidebar.open?$$render(consequent):$$render(alternate,-1)})}next$1(2),append($$anchor2,fragment_1)},$$slots:{default:!0}}))}pop()}var root_1$4=from_html("
          "),root_3$3=from_html('
          '), +root_4$1=from_html('
          '),root_2$4=from_html('
          ');function Sidebar($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),side=prop($$props,"side",3,"left"),variant=prop($$props,"variant",3,"sidebar"), +collapsible=prop($$props,"collapsible",3,"offcanvas"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","side","variant","collapsible","class","children"]);const sidebar=useSidebar();function handleResizePointerDown(e){if(sidebar.isMobile)return;e.preventDefault();const target2=e.currentTarget;target2.setPointerCapture(e.pointerId);const minPx=remToPx(SIDEBAR_MIN_WIDTH),maxPx=remToPx(SIDEBAR_MAX_WIDTH);sidebar.isResizing=!0;function onPointerMove(ev){const newWidth=side()==="le\ +ft"?ev.clientX:window.innerWidth-ev.clientX,clamped=Math.min(maxPx,Math.max(minPx,newWidth));sidebar.sidebarWidth=`${clamped}px`}function onPointerUp(){sidebar.isResizing=!1,target2.removeEventListener("pointermove",onPointerMove),target2.removeEventListener("pointerup",onPointerUp)}target2.addEventListener("pointermove",onPointerMove),target2.addEventListener("pointerup",onPointerUp)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$4();attribute_effect( +div,$0=>({class:$0,...restProps}),[()=>cn$1("flex h-full w-(--sidebar-width) flex-col bg-sidebar text-sidebar-foreground",$$props.class)]);var node_1=child(div);snippet(node_1,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor2,div)},alternate_1=$$anchor2=>{var div_1=root_2$4(),div_2=child(div_1),div_3=sibling(div_2,2);attribute_effect(div_3,$0=>({"data-slot":"sidebar-container",class:$0,style:variant()==="floating"?"height: calc(100dvh - 1.\ +5rem);":void 0,...restProps}),[()=>cn$1("fixed inset-y-0 z-[900] flex w-[calc(100dvw-1.5rem)] duration-200 ease-linear md:z-0 md:w-(--sidebar-width)","group-data-[collapsible=offcanvas]:pointer-events-none md:group-data-[collapsible=offcanvas]:pointer-events-auto",sidebar.isResizing&&"!duration-0",variant()==="floating"?["transition-[left,right,width,opacity]",side()==="left"?"left-3 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsible=offcanvas]:op\ +acity-0":"right-3 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsible=offcanvas]:opacity-0","my-3 overflow-hidden rounded-3xl border border-sidebar-border shadow-md"]:["h-svh transition-[left,right,width]",side()==="left"?"left-0 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-1)]":"right-0 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-1)]"],variant()==="inset"?"p-2 group-data-[collapsible=icon]:w-[calc(v\ +ar(--sidebar-width-icon)+(--spacing(4))+2px)]":variant()==="floating"?"group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)",$$props.class)]);var div_4=child(div_3),node_2=child(div_4);snippet(node_2,()=>$$props.children??noop$3),reset(div_4);var node_3=sibling(div_4,2);{var consequent_1=$$anchor3=>{var div_5=root_3$3();let classes;template_effect(()=>classes=set_class(div_5,1,"absolute inset-y-0 right-0 z-5\ +0 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sidebar-border md:block",null,classes,{"bg-sidebar-border":sidebar.isResizing})),delegated("pointerdown",div_5,handleResizePointerDown),append($$anchor3,div_5)},alternate=$$anchor3=>{var div_6=root_4$1();let classes_1;template_effect(()=>classes_1=set_class(div_6,1,"absolute inset-y-0 left-0 z-50 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sidebar-border md:bl\ +ock",null,classes_1,{"bg-sidebar-border":sidebar.isResizing})),delegated("pointerdown",div_6,handleResizePointerDown),append($$anchor3,div_6)};if_block(node_3,$$render=>{side()==="left"?$$render(consequent_1):$$render(alternate,-1)})}reset(div_3),reset(div_1),bind_this(div_1,$$value=>ref2($$value),()=>ref2()),template_effect($0=>{set_attribute(div_1,"data-state",sidebar.state),set_attribute(div_1,"data-collapsible",sidebar.state==="collapsed"?collapsible():""),set_attribute(div_1,"data-variant", +variant()),set_attribute(div_1,"data-side",side()),set_class(div_2,1,$0)},[()=>clsx(cn$1("relative bg-transparent transition-[width] duration-200 ease-linear",sidebar.isResizing&&"!duration-0","w-0",variant()==="floating"?"md:w-[calc(var(--sidebar-width)+0.75rem)]":"md:w-(--sidebar-width)","md:group-data-[collapsible=offcanvas]:w-0","group-data-[side=right]:rotate-180",variant()==="floating"||variant()==="inset"?"group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)\ +]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)"))]),append($$anchor2,div_1)};if_block(node2,$$render=>{collapsible()==="none"?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}delegate(["pointerdown"]);var root_3$2=from_html(' Close sidebar',1),root_2$3=from_html('
          ',1),root_11$1=from_html( +'

          '),root_8$1=from_html(" ",1),root_4=from_html(" ",1),root_1$3=from_html(" ",1),root_13=from_html('
          '),root$5=from_html('
          ',1);function SidebarNavigation($$anchor,$$props){push$1($$props,!0);const sidebar=useSidebar();let currentChatId=user_derived(()=>page$1.params.id),isSearchModeActive=state$1( +!1),searchQuery=state$1(""),showDeleteDialog=state$1(!1),deleteWithForks=state$1(!1),showEditDialog=state$1(!1),selectedConversation=state$1(null),editedName=state$1(""),selectedConversationNamePreview=user_derived(()=>get$3(selectedConversation)?getPreviewText(get$3(selectedConversation).name):""),filteredConversations=user_derived(()=>get$3(isSearchModeActive)?get$3(searchQuery).trim().length>0?conversations().filter(conversation=>conversation.name.toLowerCase().includes(get$3(searchQuery).toLowerCase())): +[]:conversations()),conversationTree=user_derived(()=>buildConversationTree(get$3(filteredConversations))),selectedConversationHasDescendants=user_derived(()=>{if(!get$3(selectedConversation))return!1;const allConvs=conversations(),queue=[get$3(selectedConversation).id];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of allConvs)if(c2.forkedFromConversationId===parentId)return!0}return!1});async function handleDeleteConversation(id2){const conversation=conversations().find(conv=>conv. +id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(deleteWithForks,!1),set$1(showDeleteDialog,!0))}async function handleEditConversation(id2){const conversation=conversations().find(conv=>conv.id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(editedName,conversation.name,!0),set$1(showEditDialog,!0))}function handleConfirmDelete(){if(get$3(selectedConversation)){const convId=get$3(selectedConversation).id,withForks=get$3(deleteWithForks);set$1(showDeleteDialog, +!1),setTimeout(()=>{conversationsStore.deleteConversation(convId,{deleteWithForks:withForks})},100)}}function handleConfirmEdit(){!get$3(editedName).trim()||!get$3(selectedConversation)||(set$1(showEditDialog,!1),conversationsStore.updateConversationName(get$3(selectedConversation).id,get$3(editedName)),set$1(selectedConversation,null))}function handleMobileSidebarItemClick(){sidebar.isMobile&&sidebar.toggle()}let chatSidebarActions=state$1(void 0),openedForSearch=state$1(!1);function activateSearchMode(){ +sidebar.open||set$1(openedForSearch,!0),get$3(chatSidebarActions)?.activateSearch?.()}function handleSearchDeactivated(){get$3(openedForSearch)&&(set$1(openedForSearch,!1),sidebar.toggle())}user_effect(()=>{sidebar.open||(set$1(isSearchModeActive,!1),set$1(searchQuery,""),set$1(openedForSearch,!1))});function editActiveConversation(){if(get$3(currentChatId)&&get$3(filteredConversations).find(conv=>conv.id===get$3(currentChatId))){const event2=new CustomEvent("edit-active-conversation",{detail:{conversationId:get$3( +currentChatId)}});document.dispatchEvent(event2)}}async function selectConversation(id2){get$3(isSearchModeActive)&&(set$1(isSearchModeActive,!1),set$1(searchQuery,"")),handleMobileSidebarItemClick(),await goto(RouterService.chat(id2))}function handleStopGeneration(id2){chatStore.stopGenerationForChat(id2)}var $$exports={handleMobileSidebarItemClick,activateSearchMode,editActiveConversation},fragment=root$5(),div=first_child(fragment),node2=child(div);Scroll_area(node2,{class:"h-full flex-1",children:($$anchor2,$$slotProps)=>{ +var fragment_1=root_1$3(),node_1=first_child(fragment_1);component(node_1,()=>Sidebar_header,($$anchor3,Sidebar_Header)=>{Sidebar_Header($$anchor3,{class:"gap-4 bg-sidebar/50 p-3 backdrop-blur-lg md:pt-4 md:pb-2",children:($$anchor4,$$slotProps2)=>{var fragment_2=root_2$3(),div_1=first_child(fragment_2),a=child(div_1),h1=child(a),text2=child(h1,!0);reset(h1),reset(a);var node_2=sibling(a,2);Button(node_2,{class:"rounded-full md:hidden",variant:"ghost",size:"icon",onclick:()=>sidebar.toggle(),children:($$anchor5,$$slotProps3)=>{ +var fragment_3=root_3$2(),node_3=first_child(fragment_3);X(node_3,{class:"h-4 w-4"}),next$1(2),append($$anchor5,fragment_3)},$$slots:{default:!0}}),reset(div_1);var node_4=sibling(div_1,2);bind_this(SidebarNavigationActions(node_4,{handleMobileSidebarItemClick,onSearchDeactivated:handleSearchDeactivated,get isSearchModeActive(){return get$3(isSearchModeActive)},set isSearchModeActive($$value){set$1(isSearchModeActive,$$value,!0)},get searchQuery(){return get$3(searchQuery)},set searchQuery($$value){ +set$1(searchQuery,$$value,!0)}}),$$value=>set$1(chatSidebarActions,$$value,!0),()=>get$3(chatSidebarActions)),template_effect(()=>{set_attribute(a,"href",ROUTES.START),set_text(text2,APP_NAME)}),delegated("click",a,handleMobileSidebarItemClick),append($$anchor4,fragment_2)},$$slots:{default:!0}})});var node_5=sibling(node_1,2);component(node_5,()=>Sidebar_group,($$anchor3,Sidebar_Group)=>{Sidebar_Group($$anchor3,{class:"mt-2 h-[calc(100vh-21rem)] space-y-2 p-0 px-3",children:($$anchor4,$$slotProps2)=>{ +var fragment_4=root_4(),node_6=first_child(fragment_4);{var consequent=$$anchor5=>{var fragment_5=comment$2(),node_7=first_child(fragment_5);component(node_7,()=>Sidebar_group_label,($$anchor6,Sidebar_GroupLabel)=>{Sidebar_GroupLabel($$anchor6,{children:($$anchor7,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$3(isSearchModeActive)?"Search results":"Recent conversations")),append($$anchor7,text_1)},$$slots:{default:!0}})}),append($$anchor5,fragment_5)};if_block( +node_6,$$render=>{(get$3(filteredConversations).length>0&&get$3(isSearchModeActive)||!get$3(isSearchModeActive))&&$$render(consequent)})}var node_8=sibling(node_6,2);component(node_8,()=>Sidebar_group_content,($$anchor5,Sidebar_GroupContent)=>{Sidebar_GroupContent($$anchor5,{children:($$anchor6,$$slotProps3)=>{var fragment_7=comment$2(),node_9=first_child(fragment_7);component(node_9,()=>Sidebar_menu,($$anchor7,Sidebar_Menu)=>{Sidebar_Menu($$anchor7,{children:($$anchor8,$$slotProps4)=>{var fragment_8=root_8$1(), +node_10=first_child(fragment_8);each(node_10,17,()=>get$3(conversationTree),({conversation,depth})=>conversation.id,($$anchor9,$$item)=>{let conversation=()=>get$3($$item).conversation,depth=()=>get$3($$item).depth;var fragment_9=comment$2(),node_11=first_child(fragment_9);component(node_11,()=>Sidebar_menu_item,($$anchor10,Sidebar_MenuItem)=>{Sidebar_MenuItem($$anchor10,{class:"mb-1 p-0",children:($$anchor11,$$slotProps5)=>{{let $0=user_derived(()=>({id:conversation().id,name:conversation().name, +lastModified:conversation().lastModified,currNode:conversation().currNode,forkedFromConversationId:conversation().forkedFromConversationId})),$1=user_derived(()=>get$3(currentChatId)===conversation().id);SidebarNavigationConversationItem($$anchor11,{get conversation(){return get$3($0)},get depth(){return depth()},get isActive(){return get$3($1)},onSelect:selectConversation,onEdit:handleEditConversation,onDelete:handleDeleteConversation,onStop:handleStopGeneration})}},$$slots:{default:!0}})}),append( +$$anchor9,fragment_9)});var node_12=sibling(node_10,2);{var consequent_1=$$anchor9=>{var div_2=root_11$1(),p2=child(div_2),text_2=child(p2,!0);reset(p2),reset(div_2),template_effect(()=>set_text(text_2,get$3(searchQuery).length>0?"No results found":get$3(isSearchModeActive)?"Start typing to see results":"No conversations yet")),append($$anchor9,div_2)};if_block(node_12,$$render=>{get$3(conversationTree).length===0&&$$render(consequent_1)})}append($$anchor8,fragment_8)},$$slots:{default:!0}})}),append( +$$anchor6,fragment_7)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div);var node_13=sibling(div,2);{let $0=user_derived(()=>get$3(selectedConversation)?`Are you sure you want to delete "${get$3(selectedConversationNamePreview)}"? This action cannot be undone and will permanently remove all messages in this conversation.`:"");DialogConfirmation(node_13,{title:"Delete Conversation",get description(){return get$3( +$0)},confirmText:"Delete",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>{set$1(showDeleteDialog,!1),set$1(selectedConversation,null)},get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var fragment_11=comment$2(),node_14=first_child(fragment_11);{var consequent_2=$$anchor3=>{var div_3=root_13(),node_15=child(div_3);Checkbox(node_15,{id:"delete-with-fo\ +rks",get checked(){return get$3(deleteWithForks)},set checked($$value){set$1(deleteWithForks,$$value,!0)}});var node_16=sibling(node_15,2);Label(node_16,{for:"delete-with-forks",class:"text-sm",children:($$anchor4,$$slotProps2)=>{next$1();var text_3=text$8("Also delete all forked conversations");append($$anchor4,text_3)},$$slots:{default:!0}}),reset(div_3),append($$anchor3,div_3)};if_block(node_14,$$render=>{get$3(selectedConversationHasDescendants)&&$$render(consequent_2)})}append($$anchor2,fragment_11)}, +$$slots:{default:!0}})}var node_17=sibling(node_13,2);return DialogConfirmation(node_17,{title:"Edit Conversation Name",description:"",confirmText:"Save",cancelText:"Cancel",get icon(){return Pencil},onConfirm:handleConfirmEdit,onCancel:()=>{set$1(showEditDialog,!1),set$1(selectedConversation,null)},onKeydown:event2=>{event2.key==="Enter"&&(event2.preventDefault(),event2.stopImmediatePropagation(),handleConfirmEdit())},get open(){return get$3(showEditDialog)},set open($$value){set$1(showEditDialog, +$$value,!0)},children:($$anchor2,$$slotProps)=>{Input($$anchor2,{class:"text-foreground",placeholder:"Enter a new name",type:"text",get value(){return get$3(editedName)},set value($$value){set$1(editedName,$$value,!0)}})},$$slots:{default:!0}}),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_2$2=from_html(" ",1),root_1$2=from_html(" ",1),root_6$1=from_html(" ",1),root$4=from_html('
          ');function ServerStatus($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showActions=prop($$props,"showActions",3,!1),error2=user_derived(serverError),loading=user_derived(serverLoading),model=user_derived(singleModelName),serverData=user_derived(serverProps);function getStatusColor(){return get$3(loading)?"bg-yellow-500":get$3(error2)?"bg-red-500":get$3(serverData)?"bg-green-500":"bg-gray-500"}function getStatusText(){ +return get$3(loading)?"Connecting...":get$3(error2)?"Connection Error":get$3(serverData)?"Connected":"Unknown"}var div=root$4(),div_1=child(div),div_2=child(div_1),span=sibling(div_2,2),text2=child(span,!0);reset(span),reset(div_1);var node2=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment=root_1$2(),node_1=first_child(fragment);Badge(node_1,{variant:"outline",class:"text-xs",children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$2(),node_2=first_child(fragment_1);Server(node_2,{class:"\ +mr-1 h-3 w-3"});var text_1=sibling(node_2);template_effect(()=>set_text(text_1,` ${(get$3(model)||"Unknown Model")??""}`)),append($$anchor3,fragment_1)},$$slots:{default:!0}});var node_3=sibling(node_1,2);{var consequent=$$anchor3=>{Badge($$anchor3,{variant:"secondary",class:"text-xs",children:($$anchor4,$$slotProps)=>{next$1();var text_2=text$8();template_effect($0=>set_text(text_2,`ctx: ${$0??""}`),[()=>get$3(serverData).default_generation_settings.n_ctx.toLocaleString()]),append($$anchor4,text_2)}, +$$slots:{default:!0}})};if_block(node_3,$$render=>{get$3(serverData)?.default_generation_settings?.n_ctx&&$$render(consequent)})}append($$anchor2,fragment)};if_block(node2,$$render=>{get$3(serverData)&&!get$3(error2)&&$$render(consequent_1)})}var node_4=sibling(node2,2);{var consequent_2=$$anchor2=>{Button($$anchor2,{variant:"outline",size:"sm",class:"text-destructive",children:($$anchor3,$$slotProps)=>{var fragment_5=root_6$1(),node_5=first_child(fragment_5);Triangle_alert(node_5,{class:"h-4 w-\ +4"});var text_3=sibling(node_5);template_effect(()=>set_text(text_3,` ${get$3(error2)??""}`)),append($$anchor3,fragment_5)},$$slots:{default:!0}})};if_block(node_4,$$render=>{showActions()&&get$3(error2)&&$$render(consequent_2)})}reset(div),template_effect(($0,$1)=>{set_class(div,1,`flex items-center space-x-3 ${className()??""}`),set_class(div_2,1,`h-2 w-2 rounded-full ${$0??""}`),set_text(text2,$1)},[()=>getStatusColor(),()=>getStatusText()]),append($$anchor,div),pop()}var root_2$1=from_html("\ + Enter API Key",1),root_1$1=from_html('
          '),root_5$1=from_html('
          '),root_6=from_html('
          '),root_7=from_html('
          '),root_8=from_html('

          '),root_9=from_html('

          ✓ API key validated successfully! Connecting...

          '),root_11=from_html( +" Validating...",1),root_3$1=from_html('
          '),root_17=from_html(" Connecting...",1),root_18=from_html(" Retry Connection",1),root_15=from_html("
          "),root_19=from_html('
          Troubleshooting <\ +div class="mt-2 space-y-3 text-xs text-muted-foreground">

          Start the llama-server:

          llama-server -hf ggml-org/gemma-3-4b-it-GGUF

          or

          llama-server -m locally-stored-model.gguf

          • Check that the server is accessible at the correct URL
            • \ +
          • Verify your network connection
          • Check server logs for any error messages
          '),root$3=from_html('

          Server Connection Error

          ');function ServerErrorSplash($$anchor,$$props){ +push$1($$props,!0);let className=prop($$props,"class",3,""),showRetry=prop($$props,"showRetry",3,!0),showTroubleshooting=prop($$props,"showTroubleshooting",3,!1),isServerLoading=user_derived(serverLoading),isAccessDeniedError=user_derived(()=>$$props.error.toLowerCase().includes("access denied")||$$props.error.toLowerCase().includes("invalid api key")||$$props.error.toLowerCase().includes("unauthorized")||$$props.error.toLowerCase().includes("401")||$$props.error.toLowerCase().includes("403")),apiKeyInput=state$1( +""),showApiKeyInput=state$1(!1),apiKeyState=state$1("idle"),apiKeyError=state$1("");function handleRetryConnection(){$$props.onRetry?$$props.onRetry():serverStore.fetch()}function handleShowApiKeyInput(){set$1(showApiKeyInput,!0);const currentConfig=config$1();set$1(apiKeyInput,currentConfig.apiKey?.toString()||"",!0)}async function handleSaveApiKey(){if(get$3(apiKeyInput).trim()){set$1(apiKeyState,"validating"),set$1(apiKeyError,"");try{settingsStore.updateConfig(SETTINGS_KEYS.API_KEY,get$3(apiKeyInput). +trim());const response=await fetch(`${base}/props`,{headers:{"Content-Type":"application/json",Authorization:`Bearer ${get$3(apiKeyInput).trim()}`}});response.ok?(set$1(apiKeyState,"success"),setTimeout(()=>{goto(ROUTES.START)},1e3)):(set$1(apiKeyState,"error"),response.status===401||response.status===403?set$1(apiKeyError,"Invalid API key - please check and try again"):set$1(apiKeyError,`Authentication failed (${response.status})`),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3))}catch(error2){ +set$1(apiKeyState,"error"),error2 instanceof Error?error2.message.includes("fetch")?set$1(apiKeyError,"Cannot connect to server - check if server is running"):set$1(apiKeyError,error2.message,!0):set$1(apiKeyError,"Connection error - please try again"),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3)}}}function handleApiKeyKeydown(event2){event2.key===KeyboardKey.ENTER&&handleSaveApiKey()}var div=root$3(),div_1=child(div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);Triangle_alert(node2, +{class:"h-8 w-8 text-destructive"}),reset(div_3);var p2=sibling(div_3,4),text2=child(p2,!0);reset(p2),reset(div_2);var node_1=sibling(div_2,2);{var consequent=$$anchor2=>{var div_4=root_1$1(),node_2=child(div_4);Button(node_2,{onclick:handleShowApiKeyInput,variant:"outline",class:"w-full",children:($$anchor3,$$slotProps)=>{var fragment=root_2$1(),node_3=first_child(fragment);Key(node_3,{class:"h-4 w-4"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}}),reset(div_4),transition(1,div_4, +()=>fly,()=>({y:10,duration:300,delay:200})),append($$anchor2,div_4)};if_block(node_1,$$render=>{get$3(isAccessDeniedError)&&!get$3(showApiKeyInput)&&$$render(consequent)})}var node_4=sibling(node_1,2);{var consequent_8=$$anchor2=>{var div_5=root_3$1(),div_6=child(div_5),node_5=child(div_6);Label(node_5,{for:"api-key-input",class:"text-sm font-medium",children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("API Key");append($$anchor3,text_1)},$$slots:{default:!0}});var div_7=sibling(node_5, +2),node_6=child(div_7);{let $0=user_derived(()=>get$3(apiKeyState)==="error"?"border-destructive":get$3(apiKeyState)==="success"?"border-green-500":""),$1=user_derived(()=>get$3(apiKeyState)==="validating");Input(node_6,{id:"api-key-input",placeholder:"Enter your API key...",onkeydown:handleApiKeyKeydown,get class(){return`w-full pr-10 ${get$3($0)??""}`},get disabled(){return get$3($1)},get value(){return get$3(apiKeyInput)},set value($$value){set$1(apiKeyInput,$$value,!0)}})}var node_7=sibling( +node_6,2);{var consequent_1=$$anchor3=>{var div_8=root_5$1(),node_8=child(div_8);Refresh_cw(node_8,{class:"h-4 w-4 animate-spin text-muted-foreground"}),reset(div_8),append($$anchor3,div_8)},consequent_2=$$anchor3=>{var div_9=root_6(),node_9=child(div_9);Circle_check_big(node_9,{class:"h-4 w-4 text-green-500"}),reset(div_9),transition(1,div_9,()=>scale,()=>({duration:200,start:.8})),append($$anchor3,div_9)},consequent_3=$$anchor3=>{var div_10=root_7(),node_10=child(div_10);Circle_x(node_10,{class:"\ +h-4 w-4 text-destructive"}),reset(div_10),transition(1,div_10,()=>scale,()=>({duration:200,start:.8})),append($$anchor3,div_10)};if_block(node_7,$$render=>{get$3(apiKeyState)==="validating"?$$render(consequent_1):get$3(apiKeyState)==="success"?$$render(consequent_2,1):get$3(apiKeyState)==="error"&&$$render(consequent_3,2)})}reset(div_7);var node_11=sibling(div_7,2);{var consequent_4=$$anchor3=>{var p_1=root_8(),text_2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_2,get$3(apiKeyError))), +transition(1,p_1,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_1)};if_block(node_11,$$render=>{get$3(apiKeyError)&&$$render(consequent_4)})}var node_12=sibling(node_11,2);{var consequent_5=$$anchor3=>{var p_2=root_9();transition(1,p_2,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_2)};if_block(node_12,$$render=>{get$3(apiKeyState)==="success"&&$$render(consequent_5)})}reset(div_6);var div_11=sibling(div_6,2),node_13=child(div_11);{let $0=user_derived(()=>!get$3(apiKeyInput).trim()|| +get$3(apiKeyState)==="validating"||get$3(apiKeyState)==="success");Button(node_13,{onclick:handleSaveApiKey,get disabled(){return get$3($0)},class:"flex-1",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_14=first_child(fragment_1);{var consequent_6=$$anchor4=>{var fragment_2=root_11(),node_15=first_child(fragment_2);Refresh_cw(node_15,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_2)},consequent_7=$$anchor4=>{var text_3=text$8("Success!");append($$anchor4,text_3)}, +alternate=$$anchor4=>{var text_4=text$8("Save & Retry");append($$anchor4,text_4)};if_block(node_14,$$render=>{get$3(apiKeyState)==="validating"?$$render(consequent_6):get$3(apiKeyState)==="success"?$$render(consequent_7,1):$$render(alternate,-1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})}var node_16=sibling(node_13,2);{let $0=user_derived(()=>get$3(apiKeyState)==="validating");Button(node_16,{onclick:()=>{set$1(showApiKeyInput,!1),set$1(apiKeyState,"idle"),set$1(apiKeyError,"")},variant:"\ +outline",class:"flex-1",get disabled(){return get$3($0)},children:($$anchor3,$$slotProps)=>{next$1();var text_5=text$8("Cancel");append($$anchor3,text_5)},$$slots:{default:!0}})}reset(div_11),reset(div_5),transition(1,div_5,()=>fly,()=>({y:10,duration:300,delay:200})),append($$anchor2,div_5)};if_block(node_4,$$render=>{get$3(showApiKeyInput)&&$$render(consequent_8)})}var node_17=sibling(node_4,2);{var consequent_10=$$anchor2=>{var div_12=root_15(),node_18=child(div_12);Button(node_18,{onclick:handleRetryConnection, +get disabled(){return get$3(isServerLoading)},class:"w-full",children:($$anchor3,$$slotProps)=>{var fragment_3=comment$2(),node_19=first_child(fragment_3);{var consequent_9=$$anchor4=>{var fragment_4=root_17(),node_20=first_child(fragment_4);Refresh_cw(node_20,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_4)},alternate_1=$$anchor4=>{var fragment_5=root_18(),node_21=first_child(fragment_5);Refresh_cw(node_21,{class:"h-4 w-4"}),next$1(),append($$anchor4,fragment_5)};if_block(node_19, +$$render=>{get$3(isServerLoading)?$$render(consequent_9):$$render(alternate_1,-1)})}append($$anchor3,fragment_3)},$$slots:{default:!0}}),reset(div_12),transition(1,div_12,()=>fly,()=>({y:10,duration:300,delay:200})),append($$anchor2,div_12)};if_block(node_17,$$render=>{showRetry()&&$$render(consequent_10)})}var node_22=sibling(node_17,2);{var consequent_11=$$anchor2=>{var div_13=root_19();transition(1,div_13,()=>fly,()=>({y:10,duration:300,delay:400})),append($$anchor2,div_13)};if_block(node_22, +$$render=>{showTroubleshooting()&&$$render(consequent_11)})}reset(div_1),reset(div),template_effect(()=>{set_class(div,1,`flex h-full items-center justify-center ${className()??""}`),set_text(text2,$$props.error)}),transition(1,div_2,()=>fade,()=>({duration:300})),append($$anchor,div),pop()}var root$2=from_html('

          Connecting to Server

          ');function ServerLoadingSplash($$anchor,$$props){let className=prop($$props,"class",3,""),message=prop($$props,"message",3,"Initializing connection to llama.cpp server...");var div=root$2(),div_1=child(div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);Server(node2,{class:"h-8 w-8 animate-pulse text-muted-foreground"}),reset(div_3);var p2=sibling(div_3,4),text2=child( +p2,!0);reset(p2),reset(div_2);var div_4=sibling(div_2,2),node_1=child(div_4);ServerStatus(node_1,{class:"justify-center"}),reset(div_4),reset(div_1),reset(div),template_effect(()=>{set_class(div,1,`flex h-full items-center justify-center ${className()??""}`),set_text(text2,message())}),transition(1,div_2,()=>fade,()=>({duration:300})),append($$anchor,div)}function useSettingsNavigation(){const subroute=proxy({activePanel:"chat",chatSettingsRef:void 0}),isSettingsRoute=user_derived(()=>!!page$1.route. +id?.startsWith("/settings"));return beforeNavigate(({to,from})=>{to?.route?.id?.startsWith("/settings")&&!from?.route?.id?.startsWith("/settings")&&(settingsReferrer.url=window.location.hash||ROUTES.START)}),user_effect(()=>{subroute.activePanel==="settings"&&subroute.chatSettingsRef&&subroute.chatSettingsRef.reset()}),user_effect(()=>{page$1.url,subroute.activePanel="chat"}),{get panel(){return subroute},get isSettingsRoute(){return get$3(isSettingsRoute)}}}var root_5=from_html("
          "), +root_2=from_html('
          '),root_1=from_html(" ",1);function _layout$2($$anchor,$$props){push$1($$props,!0);let alwaysShowSidebarOnDesktop=user_derived(()=>config$1().alwaysShowSidebarOnDesktop),isMobile=new IsMobile,isDesktop=user_derived(()=>!isMobile.current),sidebarOpen=state$1(!1),mounted=state$1(!1),innerHeight=state$1(void 0),chatSidebar=state$1(void 0),titleUpdateDialogOpen=state$1(!1),titleUpdateCurrentTitle=state$1(""),titleUpdateNewTitle=state$1( +""),titleUpdateResolve=null;const panelNav=useSettingsNavigation();function navigateToConversation(direction){const allConvs=conversations();if(allConvs.length===0)return;const currentId=page$1.params.id;if(!currentId){goto(RouterService.chat(allConvs[direction===1?0:allConvs.length-1].id));return}const idx=allConvs.findIndex(c2=>c2.id===currentId);if(idx===-1)return;const targetIdx=idx+direction;targetIdx>=0&&targetIdxget$3(chatSidebar)?.editActiveConversation?.(),navigateToPrevConversation:()=>navigateToConversation(-1),navigateToNextConversation:()=>navigateToConversation(1)});function checkApiKey(){const apiKey=config$1().apiKey;if((page$1.route.id==="/(chat)"||page$1.route.id==="/(chat)/chat/[id]")&&page$1.status!==401&&page$1.status!==403){const headers={"Content-Type":"application/json"};apiKey&&apiKey.trim()!==""&&(headers. +Authorization=`Bearer ${apiKey.trim()}`),fetch(`${base}/props`,{headers}).then(response=>{(response.status===401||response.status===403)&&window.location.reload()}).catch(e=>{console.error("Error checking API key:",e)})}}function handleTitleUpdateCancel(){set$1(titleUpdateDialogOpen,!1),titleUpdateResolve&&(titleUpdateResolve(!1),titleUpdateResolve=null)}function handleTitleUpdateConfirm(){set$1(titleUpdateDialogOpen,!1),titleUpdateResolve&&(titleUpdateResolve(!0),titleUpdateResolve=null)}onMount$1( +()=>{set$1(mounted,!0)}),user_effect(()=>{if(get$3(alwaysShowSidebarOnDesktop)&&get$3(isDesktop)){set$1(sidebarOpen,!0);return}}),user_effect(()=>{serverStore.props||untrack$1(()=>{serverStore.fetch()})}),user_effect(()=>{serverStore.props&&settingsStore.syncWithServerDefaults()});let routerModelsFetched=!1;user_effect(()=>{const isRouter=isRouterMode(),modelsCount=modelsStore.models.length;isRouter&&modelsCount>0&&!routerModelsFetched&&(routerModelsFetched=!0,untrack$1(()=>{modelsStore.fetchRouterModels()}))}), +user_effect(()=>{const enabledServers=mcpStore.getServers().filter(s2=>s2.enabled&&s2.url.trim());enabledServers.length>0&&untrack$1(()=>{mcpStore.runHealthChecksForServers(enabledServers,!1).catch(error2=>{console.warn("[layout] MCP health checks failed:",error2)})})}),user_effect(()=>{checkApiKey()}),user_effect(()=>{conversationsStore.setTitleUpdateConfirmationCallback(async(currentTitle,newTitle)=>new Promise(resolve2=>{set$1(titleUpdateCurrentTitle,currentTitle,!0),set$1(titleUpdateNewTitle, +newTitle,!0),titleUpdateResolve=resolve2,set$1(titleUpdateDialogOpen,!0)}))});var fragment=comment$2();event("keydown",$window,handleKeydown);var node2=first_child(fragment);component(node2,()=>Provider,($$anchor2,Tooltip_Provider)=>{Tooltip_Provider($$anchor2,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1(),node_1=first_child(fragment_1);Mode_watcher(node_1,{});var node_2=sibling(node_1,2);Toaster(node_2,{richColors:!0});var node_3=sibling( +node_2,2);DialogConversationTitleUpdate(node_3,{get currentTitle(){return get$3(titleUpdateCurrentTitle)},get newTitle(){return get$3(titleUpdateNewTitle)},onConfirm:handleTitleUpdateConfirm,onCancel:handleTitleUpdateCancel,get open(){return get$3(titleUpdateDialogOpen)},set open($$value){set$1(titleUpdateDialogOpen,$$value,!0)}});var node_4=sibling(node_3,2);component(node_4,()=>Sidebar_provider,($$anchor4,Sidebar_Provider)=>{Sidebar_Provider($$anchor4,{get open(){return get$3(sidebarOpen)},set open($$value){ +set$1(sidebarOpen,$$value,!0)},children:($$anchor5,$$slotProps2)=>{var div=root_2();let styles2;var node_5=child(div);component(node_5,()=>Sidebar,($$anchor6,Sidebar_Root)=>{Sidebar_Root($$anchor6,{variant:"floating",class:"h-full",children:($$anchor7,$$slotProps3)=>{bind_this(SidebarNavigation($$anchor7,{}),$$value=>set$1(chatSidebar,$$value,!0),()=>get$3(chatSidebar))},$$slots:{default:!0}})});var node_6=sibling(node_5,2);{var consequent_1=$$anchor6=>{var fragment_3=comment$2(),node_7=first_child( +fragment_3);{var consequent=$$anchor7=>{var div_1=root_5(),node_8=child(div_1);{let $0=user_derived(()=>get$3(sidebarOpen)?"left-[calc(var(--sidebar-width)+0.75rem)] max-md:hidden":"left-0!");component(node_8,()=>Sidebar_trigger,($$anchor8,Sidebar_Trigger)=>{Sidebar_Trigger($$anchor8,{get class(){return`transition-left absolute left-0 z-[900] duration-200 ease-linear ${get$3($0)??""}`},style:"translate: 1rem 1rem;"})})}reset(div_1),transition(1,div_1,()=>fade,()=>({duration:200})),append($$anchor7, +div_1)};if_block(node_7,$$render=>{get$3(mounted)&&$$render(consequent)})}append($$anchor6,fragment_3)};if_block(node_6,$$render=>{!(get$3(alwaysShowSidebarOnDesktop)&&get$3(isDesktop))&&!(panelNav.isSettingsRoute&&!get$3(isDesktop))&&$$render(consequent_1)})}var node_9=sibling(node_6,2);{var consequent_2=$$anchor6=>{DesktopIconStrip($$anchor6,{get sidebarOpen(){return get$3(sidebarOpen)},onSearchClick:()=>{get$3(chatSidebar)?.activateSearchMode&&get$3(chatSidebar).activateSearchMode(),set$1(sidebarOpen, +!0)}})};if_block(node_9,$$render=>{get$3(isDesktop)&&!get$3(alwaysShowSidebarOnDesktop)&&$$render(consequent_2)})}var node_10=sibling(node_9,2);component(node_10,()=>Sidebar_inset,($$anchor6,Sidebar_Inset)=>{Sidebar_Inset($$anchor6,{class:"flex flex-1 flex-col overflow-hidden",children:($$anchor7,$$slotProps3)=>{var fragment_5=comment$2(),node_11=first_child(fragment_5);snippet(node_11,()=>$$props.children??noop$3),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),reset(div),template_effect( +()=>styles2=set_style(div,"",styles2,{height:`${get$3(innerHeight)??""}px`})),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),bind_window_size("innerHeight",$$value=>set$1(innerHeight,$$value,!0)),append($$anchor,fragment),pop()}const _0=Object.freeze(Object.defineProperty({__proto__:null,component:_layout$2},Symbol.toStringTag,{value:"Module"})),getStores=()=>{const stores$1=stores;return{page:{subscribe:stores$1.page.subscribe},navigating:{ +subscribe:stores$1.navigating.subscribe},updated:stores$1.updated}},page={subscribe(fn){return getStores().page.subscribe(fn)}};var root_3=from_html('

          ');function _error($$anchor,$$props){push$1($$props,!0);const $page=()=>store_get(page,"$page",$$stores), +[$$stores,$$cleanup]=setup_stores();let error2=user_derived(()=>$page().error),status=user_derived(()=>$page().status),isApiKeyError=user_derived(()=>get$3(status)===401||get$3(status)===403||get$3(error2)?.message?.toLowerCase().includes("access denied")||get$3(error2)?.message?.toLowerCase().includes("unauthorized")||get$3(error2)?.message?.toLowerCase().includes("invalid api key"));function handleRetry(){goto(ROUTES.START)}var fragment=comment$2();head$1("1j96wlh",$$anchor2=>{deferred_template_effect( +()=>{$document.title=`Error ${get$3(status)??""} - WebUI`})});var node2=first_child(fragment);{var consequent=$$anchor2=>{{let $0=user_derived(()=>get$3(error2)?.message||"Access denied - check server permissions");ServerErrorSplash($$anchor2,{get error(){return get$3($0)},onRetry:handleRetry,showRetry:!1,showTroubleshooting:!1})}},alternate=$$anchor2=>{var div=root_3(),div_1=child(div),div_2=child(div_1),h1=sibling(child(div_2),2),text2=child(h1);reset(h1);var p2=sibling(h1,2),text_1=child(p2,!0); +reset(p2),reset(div_2);var button=sibling(div_2,2);reset(div_1),reset(div),template_effect(()=>{set_text(text2,`Error ${get$3(status)??""}`),set_text(text_1,get$3(error2)?.message||"Something went wrong")}),delegated("click",button,()=>goto(ROUTES.START)),append($$anchor2,div)};if_block(node2,$$render=>{get$3(isApiKeyError)?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop(),$$cleanup()}delegate(["click"]);const _1=Object.freeze(Object.defineProperty({__proto__:null,component:_error}, +Symbol.toStringTag,{value:"Module"}));var root$1=from_html(" ",1);function _layout$1($$anchor,$$props){push$1($$props,!0);let showCenteredEmpty=user_derived(()=>!page$1.params.id);var fragment=root$1(),node2=first_child(fragment);ChatScreen(node2,{get showCenteredEmpty(){return get$3(showCenteredEmpty)}});var node_1=sibling(node2,2);snippet(node_1,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}const _2=Object.freeze(Object.defineProperty({__proto__:null,component:_layout$1}, +Symbol.toStringTag,{value:"Module"}));var root=from_html('
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_page$4($$anchor,$$props){push$1($$props,!0);let qParam=user_derived(()=>page$1.url.searchParams.get("q")),modelParam=user_derived(()=>page$1.url.searchParams.get("model")),newChatParam=user_derived(()=>page$1.url.searchParams.get(NEW_CHAT_PARAM)),showModelNotAvailable=state$1(!1),requestedModelName=state$1(""),availableModelNames=user_derived(()=>modelOptions().map(m=>m. +model));function clearUrlParams(){const url2=new URL(page$1.url);url2.searchParams.delete("q"),url2.searchParams.delete("model"),url2.searchParams.delete(NEW_CHAT_PARAM),replaceState(url2.toString(),{})}async function handleUrlParams(){if(await modelsStore.fetch(),get$3(modelParam)){const model=modelsStore.findModelByName(get$3(modelParam));if(model)try{await modelsStore.selectModelById(model.id)}catch(error2){console.error("Failed to select model:",error2),set$1(requestedModelName,get$3(modelParam), +!0),set$1(showModelNotAvailable,!0);return}else{set$1(requestedModelName,get$3(modelParam),!0),set$1(showModelNotAvailable,!0);return}}get$3(qParam)!==null?(await conversationsStore.createConversation(),clearUrlParams()):(get$3(modelParam)||get$3(newChatParam)==="true")&&clearUrlParams()}onMount$1(async()=>{if(isConversationsInitialized()||await conversationsStore.initialize(),conversationsStore.clearActiveConversation(),chatStore.clearUIState(),isRouterMode()&&modelsStore.selectedModelName&&!modelsStore. +isModelLoaded(modelsStore.selectedModelName)){modelsStore.clearSelection();const first=modelOptions().find(m=>modelsStore.loadedModelIds.includes(m.model));first&&await modelsStore.selectModelById(first.id)}(get$3(qParam)!==null||get$3(modelParam)!==null||get$3(newChatParam)==="true")&&await handleUrlParams()}),head$1("ku01nm",$$anchor2=>{deferred_template_effect(()=>{$document.title=APP_NAME})}),DialogModelNotAvailable($$anchor,{get modelName(){return get$3(requestedModelName)},get availableModels(){ +return get$3(availableModelNames)},get open(){return get$3(showModelNotAvailable)},set open($$value){set$1(showModelNotAvailable,$$value,!0)}}),pop()}const _4=Object.freeze(Object.defineProperty({__proto__:null,component:_page$4,universal:_page$5},Symbol.toStringTag,{value:"Module"})),load=async({fetch:fetch2})=>{await validateApiKey(fetch2)},_page$3=Object.freeze(Object.defineProperty({__proto__:null,load},Symbol.toStringTag,{value:"Module"}));function _page$2($$anchor,$$props){push$1($$props,!0); +let chatId=user_derived(()=>page$1.params.id),currentChatId,qParam=user_derived(()=>page$1.url.searchParams.get("q")),modelParam=user_derived(()=>page$1.url.searchParams.get("model")),showModelNotAvailable=state$1(!1),requestedModelName=state$1(""),availableModelNames=user_derived(()=>modelOptions().map(m=>m.model)),urlParamsProcessed=state$1(!1);function clearUrlParams(){const url2=new URL(page$1.url);url2.searchParams.delete("q"),url2.searchParams.delete("model"),replaceState(url2.toString(),{})} +async function handleUrlParams(){if(await modelsStore.fetch(),get$3(modelParam)){const model=modelsStore.findModelByName(get$3(modelParam));if(model)try{await modelsStore.selectModelById(model.id)}catch(error2){console.error("Failed to select model:",error2),set$1(requestedModelName,get$3(modelParam),!0),set$1(showModelNotAvailable,!0);return}else{set$1(requestedModelName,get$3(modelParam),!0),set$1(showModelNotAvailable,!0);return}}get$3(qParam)!==null?(await chatStore.sendMessage(get$3(qParam)), +clearUrlParams()):get$3(modelParam)&&clearUrlParams(),set$1(urlParamsProcessed,!0)}afterNavigate(()=>{setTimeout(()=>{modelsStore.selectModelFromLastAssistantResponse()},100)}),user_effect(()=>{if(get$3(chatId)&&get$3(chatId)!==currentChatId){if(currentChatId=get$3(chatId),set$1(urlParamsProcessed,!1),activeConversation()?.id===get$3(chatId)){(get$3(qParam)!==null||get$3(modelParam)!==null)&&!get$3(urlParamsProcessed)&&handleUrlParams();return}(async()=>await conversationsStore.loadConversation( +get$3(chatId))?(chatStore.syncLoadingStateForChat(get$3(chatId)),(get$3(qParam)!==null||get$3(modelParam)!==null)&&!get$3(urlParamsProcessed)&&await handleUrlParams()):await goto(ROUTES.START))()}}),user_effect(()=>{if(typeof window<"u"){const handleBeforeUnload=()=>{isLoading()&&(console.log("Page unload detected while streaming - aborting stream"),chatStore.stopGeneration())};return window.addEventListener("beforeunload",handleBeforeUnload),()=>{window.removeEventListener("beforeunload",handleBeforeUnload)}}}), +head$1("jib4ir",$$anchor2=>{deferred_template_effect($0=>{$document.title=`${$0??""} - llama.cpp`},[()=>activeConversation()?.name||"Chat"])}),DialogModelNotAvailable($$anchor,{get modelName(){return get$3(requestedModelName)},get availableModels(){return get$3(availableModelNames)},get open(){return get$3(showModelNotAvailable)},set open($$value){set$1(showModelNotAvailable,$$value,!0)}}),pop()}const _5=Object.freeze(Object.defineProperty({__proto__:null,component:_page$2,universal:_page$3},Symbol. +toStringTag,{value:"Module"}));function _page$1($$anchor){SettingsMcpServers($$anchor,{class:"mx-auto w-full p-4 md:p-8 md:py-8"})}const _6=Object.freeze(Object.defineProperty({__proto__:null,component:_page$1},Symbol.toStringTag,{value:"Module"}));function 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t=e.match(/\\./g\ +);t?.length>=2&&(e=`http://${e}`)}if(a.tryConvertEncoding)try{e=stringToUTF8String(e)}catch{}}const r=t?URL.parse(e,t):URL.parse(e);return function _isValidProtocol(e){switch(e?.protocol){case"http:":case"https:":case"ftp:":case"mailto:":case"tel:":return!0;default:return!1}}(r)?r:null}function shadow(e,t,a,r=!1){Object.defineProperty(e,t,{value:a,enumerable:!r,configurable:!0,writable:!1});return a}const fa=function BaseExceptionClosure(){function BaseException(e,t){this.message=e;this.name=t}B\ +aseException.prototype=new Error;BaseException.constructor=BaseException;return BaseException}();class PasswordException extends fa{constructor(e,t){super(e,"PasswordException");this.code=t}}class UnknownErrorException extends fa{constructor(e,t){super(e,"UnknownErrorException");this.details=t}}class InvalidPDFException extends fa{constructor(e){super(e,"InvalidPDFException")}}class ResponseException extends fa{constructor(e,t,a){super(e,"ResponseException");this.status=t;this.missing=a}}class F\ +ormatError extends fa{constructor(e){super(e,"FormatError")}}class AbortException extends fa{constructor(e){super(e,"AbortException")}}function bytesToString(e){"object"==typeof e&&void 0!==e?.length||unreachable("Invalid argument for bytesToString");const t=e.length,a=8192;if(t>24&255,e>>16&255,e>>8&255,255&e)}function objectSize(e){return Object.keys(e).length}class FeatureTest{static get isLittleEndian(){return shadow(this,"isLittleEndian",function isLittleEndian(){const e=new Uint8Array(4);e[0]=1;return 1===new Uint32Array(e.buffer,0,1)[0]}())}static get isEvalSupported(){r\ +eturn shadow(this,"isEvalSupported",function isEvalSupported(){try{new Function("");return!0}catch{return!1}}())}static get isOffscreenCanvasSupported(){return shadow(this,"isOffscreenCanvasSupported","undefined"!=typeof OffscreenCanvas)}static get isImageDecoderSupported(){return shadow(this,"isImageDecoderSupported","undefined"!=typeof ImageDecoder)}static get platform(){const{platform:e,userAgent:t}=navigator;return shadow(this,"platform",{isAndroid:t.includes("Android"),isLinux:e.includes("L\ +inux"),isMac:e.includes("Mac"),isWindows:e.includes("Win"),isFirefox:t.includes("Firefox")})}static get isCSSRoundSupported(){return shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const ga=Array.from(Array(256).keys(),(e=>e.toString(16).padStart(2,"0")));class Util{static makeHexColor(e,t,a){return`#${ga[e]}${ga[t]}${ga[a]}`}static scaleMinMax(e,t){let a;if(e[0]){if(e[0]<0){a=t[0];t[0]=t[2];t[2]=a}t[0]*=e[0];t[2]*=e[0];if(e[3]<0){a=t[1];t[1]=t[3];t[3]=\ +a}t[1]*=e[3];t[3]*=e[3]}else{a=t[0];t[0]=t[1];t[1]=a;a=t[2];t[2]=t[3];t[3]=a;if(e[1]<0){a=t[1];t[1]=t[3];t[3]=a}t[1]*=e[1];t[3]*=e[1];if(e[2]<0){a=t[0];t[0]=t[2];t[2]=a}t[0]*=e[2];t[2]*=e[2]}t[0]+=e[4];t[1]+=e[5];t[2]+=e[4];t[3]+=e[5]}static transform(e,t){return[e[0]*t[0]+e[2]*t[1],e[1]*t[0]+e[3]*t[1],e[0]*t[2]+e[2]*t[3],e[1]*t[2]+e[3]*t[3],e[0]*t[4]+e[2]*t[5]+e[4],e[1]*t[4]+e[3]*t[5]+e[5]]}static applyTransform(e,t,a=0){const r=e[a],i=e[a+1];e[a]=r*t[0]+i*t[2]+t[4];e[a+1]=r*t[1]+i*t[3]+t[5]}st\ +atic applyTransformToBezier(e,t,a=0){const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5];for(let t=0;t<6;t+=2){const l=e[a+t],h=e[a+t+1];e[a+t]=l*r+h*n+o;e[a+t+1]=l*i+h*s+c}}static applyInverseTransform(e,t){const a=e[0],r=e[1],i=t[0]*t[3]-t[1]*t[2];e[0]=(a*t[3]-r*t[2]+t[2]*t[5]-t[4]*t[3])/i;e[1]=(-a*t[1]+r*t[0]+t[4]*t[1]-t[5]*t[0])/i}static axialAlignedBoundingBox(e,t,a){const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5],l=e[0],h=e[1],u=e[2],d=e[3];let f=r*l+o,g=f,p=r*u+o,m=p,b=s*h+c,y=b,w=s*d+c,x=w;i\ +f(0!==i||0!==n){const e=i*l,t=i*u,a=n*h,r=n*d;f+=a;m+=a;p+=r;g+=r;b+=e;x+=e;w+=t;y+=t}a[0]=Math.min(a[0],f,p,g,m);a[1]=Math.min(a[1],b,w,y,x);a[2]=Math.max(a[2],f,p,g,m);a[3]=Math.max(a[3],b,w,y,x)}static inverseTransform(e){const t=e[0]*e[3]-e[1]*e[2];return[e[3]/t,-e[1]/t,-e[2]/t,e[0]/t,(e[2]*e[5]-e[4]*e[3])/t,(e[4]*e[1]-e[5]*e[0])/t]}static singularValueDecompose2dScale(e,t){const a=e[0],r=e[1],i=e[2],n=e[3],s=a**2+r**2,o=a*i+r*n,c=i**2+n**2,l=(s+c)/2,h=Math.sqrt(l**2-(s*c-o**2));t[0]=Math.sq\ +rt(l+h||1);t[1]=Math.sqrt(l-h||1)}static normalizeRect(e){const t=e.slice(0);if(e[0]>e[2]){t[0]=e[2];t[2]=e[0]}if(e[1]>e[3]){t[1]=e[3];t[3]=e[1]}return t}static intersect(e,t){const a=Math.max(Math.min(e[0],e[2]),Math.min(t[0],t[2])),r=Math.min(Math.max(e[0],e[2]),Math.max(t[0],t[2]));if(a>r)return null;const i=Math.max(Math.min(e[1],e[3]),Math.min(t[1],t[3])),n=Math.min(Math.max(e[1],e[3]),Math.max(t[1],t[3]));return i>n?null:[a,i,r,n]}static pointBoundingBox(e,t,a){a[0]=Math.min(a[0],e);a[1]=M\ +ath.min(a[1],t);a[2]=Math.max(a[2],e);a[3]=Math.max(a[3],t)}static rectBoundingBox(e,t,a,r,i){i[0]=Math.min(i[0],e,a);i[1]=Math.min(i[1],t,r);i[2]=Math.max(i[2],e,a);i[3]=Math.max(i[3],t,r)}static#e(e,t,a,r,i,n,s,o,c,l){if(c<=0||c>=1)return;const h=1-c,u=c*c,d=u*c,f=h*(h*(h*e+3*c*t)+3*u*a)+d*r,g=h*(h*(h*i+3*c*n)+3*u*s)+d*o;l[0]=Math.min(l[0],f);l[1]=Math.min(l[1],g);l[2]=Math.max(l[2],f);l[3]=Math.max(l[3],g)}static#t(e,t,a,r,i,n,s,o,c,l,h,u){if(Math.abs(c)<1e-12){Math.abs(l)>=1e-12&&this.#e(e,t\ +,a,r,i,n,s,o,-h/l,u);return}const d=l**2-4*h*c;if(d<0)return;const f=Math.sqrt(d),g=2*c;this.#e(e,t,a,r,i,n,s,o,(-l+f)/g,u);this.#e(e,t,a,r,i,n,s,o,(-l-f)/g,u)}static bezierBoundingBox(e,t,a,r,i,n,s,o,c){c[0]=Math.min(c[0],e,s);c[1]=Math.min(c[1],t,o);c[2]=Math.max(c[2],e,s);c[3]=Math.max(c[3],t,o);this.#t(e,a,i,s,t,r,n,o,3*(3*(a-i)-e+s),6*(e-2*a+i),3*(a-e),c);this.#t(e,a,i,s,t,r,n,o,3*(3*(r-n)-t+o),6*(t-2*r+n),3*(r-t),c)}}const pa=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,728,711,710,729\ +,733,731,730,732,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8226,8224,8225,8230,8212,8211,402,8260,8249,8250,8722,8240,8222,8220,8221,8216,8217,8218,8482,64257,64258,321,338,352,376,381,305,322,339,353,382,0,8364];function stringToPDFString(e,t=!1){if(e[0]>="ï"){let a;if("þ"===e[0]&&"ÿ"===e[1]){a="utf-16be";e.length%2==1&&(e=e.slice(0,-1))}else if("\ +ÿ"===e[0]&&"þ"===e[1]){a="utf-16le";e.length%2==1&&(e=e.slice(0,-1))}else"ï"===e[0]&&"»"===e[1]&&"¿"===e[2]&&(a="utf-8");if(a)try{const r=new TextDecoder(a,{fatal:!0}),i=stringToBytes(e),n=r.decode(i);return t||!n.includes("\x1B")?n:n.replaceAll(/\\x1b[^\\x1b]*(?:\\x1b|$)/g,"")}catch(e){warn(`stringToPDFString: "${e}".`)}}const a=[];for(let r=0,i=e.length;rga[e])).join("")}"function"!=typeof Promise.try&&(Promise.try=function(e,...t){return new Promise((a=>{a(e(...t))}))});"function"!=typeof Math.sumPrecise&&(Math.sumPrecise=function(e){return e.reduce(((e,t)=>e+t\ +),0)});const ya=Symbol("CIRCULAR_REF"),wa=Symbol("EOF");let xa=Object.create(null),Sa=Object.create(null),Aa=Object.create(null);class Name{constructor(e){this.name=e}static get(e){return Sa[e]||=new Name(e)}}class Cmd{constructor(e){this.cmd=e}static get(e){return xa[e]||=new Cmd(e)}}const ka=function nonSerializableClosure(){return ka};class Dict{constructor(e=null){this._map=new Map;this.xref=e;this.objId=null;this.suppressEncryption=!1;this.__nonSerializable__=ka}assignXref(e){this.xref=e}ge\ +t size(){return this._map.size}get(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetch(r,this.suppressEncryption):r}async getAsync(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetchAsync(r,this.suppressEncryption):r}getArray(e,t,a){let r=this._map.get(e);if(v\ +oid 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}r instanceof Ref&&this.xref&&(r=this.xref.fetch(r,this.suppressEncryption));if(Array.isArray(r)){r=r.slice();for(let e=0,t=r.length;e{unreachable("Sh\ +ould not call `set` on the empty dictionary.")};return shadow(this,"empty",e)}static merge({xref:e,dictArray:t,mergeSubDicts:a=!1}){const r=new Dict(e),i=new Map;for(const e of t)if(e instanceof Dict)for(const[t,r]of e._map){let e=i.get(t);if(void 0===e){e=[];i.set(t,e)}else if(!(a&&r instanceof Dict))continue;e.push(r)}for(const[t,a]of i){if(1===a.length||!(a[0]instanceof Dict)){r._map.set(t,a[0]);continue}const i=new Dict(e);for(const e of a)for(const[t,a]of e._map)i._map.has(t)||i._map.set(t,\ +a);i.size>0&&r._map.set(t,i)}i.clear();return r.size>0?r:Dict.empty}clone(){const e=new Dict(this.xref);for(const t of this.getKeys())e.set(t,this.getRaw(t));return e}delete(e){delete this._map[e]}}class Ref{constructor(e,t){this.num=e;this.gen=t}toString(){return 0===this.gen?`${this.num}R`:`${this.num}R${this.gen}`}static fromString(e){const t=Aa[e];if(t)return t;const a=/^(\\d+)R(\\d*)$/.exec(e);return a&&"0"!==a[1]?Aa[e]=new Ref(parseInt(a[1]),a[2]?parseInt(a[2]):0):null}static get(e,t){const \ +a=0===t?`${e}R`:`${e}R${t}`;return Aa[a]||=new Ref(e,t)}}class RefSet{constructor(e=null){this._set=new Set(e?._set)}has(e){return this._set.has(e.toString())}put(e){this._set.add(e.toString())}remove(e){this._set.delete(e.toString())}[Symbol.iterator](){return this._set.values()}clear(){this._set.clear()}}class RefSetCache{constructor(){this._map=new Map}get size(){return this._map.size}get(e){return this._map.get(e.toString())}has(e){return this._map.has(e.toString())}put(e,t){this._map.set(e.\ +toString(),t)}putAlias(e,t){this._map.set(e.toString(),this.get(t))}[Symbol.iterator](){return this._map.values()}clear(){this._map.clear()}*values(){yield*this._map.values()}*items(){for(const[e,t]of this._map)yield[Ref.fromString(e),t]}}function isName(e,t){return e instanceof Name&&(void 0===t||e.name===t)}function isCmd(e,t){return e instanceof Cmd&&(void 0===t||e.cmd===t)}function isDict(e,t){return e instanceof Dict&&(void 0===t||isName(e.get("Type"),t))}function isRefsEqual(e,t){return e.\ +num===t.num&&e.gen===t.gen}class BaseStream{get length(){unreachable("Abstract getter `length` accessed")}get isEmpty(){unreachable("Abstract getter `isEmpty` accessed")}get isDataLoaded(){return shadow(this,"isDataLoaded",!0)}getByte(){unreachable("Abstract method `getByte` called")}getBytes(e){unreachable("Abstract method `getBytes` called")}async getImageData(e,t){return this.getBytes(e,t)}async asyncGetBytes(){unreachable("Abstract method `asyncGetBytes` called")}get isAsync(){return!1}get i\ +sAsyncDecoder(){return!1}get canAsyncDecodeImageFromBuffer(){return!1}async getTransferableImage(){return null}peekByte(){const e=this.getByte();-1!==e&&this.pos--;return e}peekBytes(e){const t=this.getBytes(e);this.pos-=t.length;return t}getUint16(){const e=this.getByte(),t=this.getByte();return-1===e||-1===t?-1:(e<<8)+t}getInt32(){return(this.getByte()<<24)+(this.getByte()<<16)+(this.getByte()<<8)+this.getByte()}getByteRange(e,t){unreachable("Abstract method `getByteRange` called")}getString(e\ +){return bytesToString(this.getBytes(e))}skip(e){this.pos+=e||1}reset(){unreachable("Abstract method `reset` called")}moveStart(){unreachable("Abstract method `moveStart` called")}makeSubStream(e,t,a=null){unreachable("Abstract method `makeSubStream` called")}getBaseStreams(){return null}}const Ca=/^[1-9]\\.\\d$/,va=2**31-1,Fa=[1,0,0,1,0,0],Ia=["ColorSpace","ExtGState","Font","Pattern","Properties","Shading","XObject"],Ta=["ExtGState","Font","Properties","XObject"];function getLookupTableFactory(e\ +){let t;return function(){if(e){t=Object.create(null);e(t);e=null}return t}}class MissingDataException extends fa{constructor(e,t){super(`Missing data [${e}, ${t})`,"MissingDataException");this.begin=e;this.end=t}}class ParserEOFException extends fa{constructor(e){super(e,"ParserEOFException")}}class XRefEntryException extends fa{constructor(e){super(e,"XRefEntryException")}}class XRefParseException extends fa{constructor(e){super(e,"XRefParseException")}}function arrayBuffersToBytes(e){const t=\ +e.length;if(0===t)return new Uint8Array(0);if(1===t)return new Uint8Array(e[0]);let a=0;for(let r=0;r0,"The number should be a positive integer.");const a="M"\ +.repeat(e/1e3|0)+Oa[e%1e3/100|0]+Oa[10+(e%100/10|0)]+Oa[20+e%10];return t?a.toLowerCase():a}function log2(e){return e>0?Math.ceil(Math.log2(e)):0}function readInt8(e,t){return e[t]<<24>>24}function readInt16(e,t){return(e[t]<<24|e[t+1]<<16)>>16}function readUint16(e,t){return e[t]<<8|e[t+1]}function readUint32(e,t){return(e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3])>>>0}function isWhiteSpace(e){return 32===e||9===e||13===e||10===e}function isNumberArray(e,t){return Array.isArray(e)?(null===t||e.length=\ +==t)&&e.every((e=>"number"==typeof e)):ArrayBuffer.isView(e)&&!(e instanceof BigInt64Array||e instanceof BigUint64Array)&&(null===t||e.length===t)}function lookupMatrix(e,t){return isNumberArray(e,6)?e:t}function lookupRect(e,t){return isNumberArray(e,4)?e:t}function lookupNormalRect(e,t){return isNumberArray(e,4)?Util.normalizeRect(e):t}function parseXFAPath(e){const t=/(.+)\\[(\\d+)\\]$/;return e.split(".").map((e=>{const a=e.match(t);return a?{name:a[1],pos:parseInt(a[2],10)}:{name:e,pos:0}}))}f\ +unction escapePDFName(e){const t=[];let a=0;for(let r=0,i=e.length;r126||35===i||40===i||41===i||60===i||62===i||91===i||93===i||123===i||125===i||47===i||37===i){a"\\n"===e?"\\\\n":"\\r"===e?"\\\\r":`\\\\${e}`))}function _collectJS(e,t,a,r){if(!e)\ +return;let i=null;if(e instanceof Ref){if(r.has(e))return;i=e;r.put(i);e=t.fetch(e)}if(Array.isArray(e))for(const i of e)_collectJS(i,t,a,r);else if(e instanceof Dict){if(isName(e.get("S"),"JavaScript")){const t=e.get("JS");let r;t instanceof BaseStream?r=t.getString():"string"==typeof t&&(r=t);r&&=stringToPDFString(r,!0).replaceAll("\\0","");r&&a.push(r.trim())}_collectJS(e.getRaw("Next"),t,a,r)}i&&r.remove(i)}function collectActions(e,t,a){const r=Object.create(null),i=getInheritableProperty({d\ +ict:t,key:"AA",stopWhenFound:!1});if(i)for(let t=i.length-1;t>=0;t--){const n=i[t];if(n instanceof Dict)for(const t of n.getKeys()){const i=a[t];if(!i)continue;const s=[];_collectJS(n.getRaw(t),e,s,new RefSet);s.length>0&&(r[i]=s)}}if(t.has("A")){const a=[];_collectJS(t.get("A"),e,a,new RefSet);a.length>0&&(r.Action=a)}return objectSize(r)>0?r:null}const Ma={60:"<",62:">",38:"&",34:""",39:"'"};function*codePointIter(e){for(let t=0,a=e.length;t55295&&(a<57344||a>65533)&&t++;yield a}}function encodeToXmlString(e){const t=[];let a=0;for(let r=0,i=e.length;r55295&&(i<57344||i>65533)&&r++;a=r+1}}if(0===t.length)return e;a: ${e}.`);return!1}return!0}function validateCSSFont(e){const t=new Set(["100","200","300","400","500","600","700","800","900","1000","normal","bold","bolder","lighter"]),{fontFamily:a,fontWeight:r,italicAngle:i}\ +=e;if(!validateFontName(a,!0))return!1;const n=r?r.toString():"";e.fontWeight=t.has(n)?n:"400";const s=parseFloat(i);e.italicAngle=isNaN(s)||s<-90||s>90?"14":i.toString();return!0}function recoverJsURL(e){const t=new RegExp("^\\\\s*("+["app.launchURL","window.open","xfa.host.gotoURL"].join("|").replaceAll(".","\\\\.")+")\\\\((?:\'|\\")([^\'\\"]*)(?:\'|\\")(?:,\\\\s*(\\\\w+)\\\\)|\\\\))","i").exec(e);return t?.[2]?{url:t[2],newWindow:"app.launchURL"===t[1]&&"true"===t[3]}:null}function numberToString(e){if(Number.is\ +Integer(e))return e.toString();const t=Math.round(100*e);return t%100==0?(t/100).toString():t%10==0?e.toFixed(1):e.toFixed(2)}function getNewAnnotationsMap(e){if(!e)return null;const t=new Map;for(const[a,r]of e){if(!a.startsWith(f))continue;let e=t.get(r.pageIndex);if(!e){e=[];t.set(r.pageIndex,e)}e.push(r)}return t.size>0?t:null}function stringToAsciiOrUTF16BE(e){return null==e||function isAscii(e){if("string"!=typeof e)return!1;return!e||/^[\\x00-\\x7F]*$/.test(e)}(e)?e:stringToUTF16String(e,!0\ +)}function stringToUTF16HexString(e){const t=[];for(let a=0,r=e.length;a>8&255],ga[255&r])}return t.join("")}function stringToUTF16String(e,t=!1){const a=[];t&&a.push("þÿ");for(let t=0,r=e.length;t>8&255),String.fromCharCode(255&r))}return a.join("")}function getRotationMatrix(e,t,a){switch(e){case 90:return[0,1,-1,0,t,0];case 180:return[-1,0,0,-1,t,a];case 270:return[0,-1,1,0,0,a];default:th\ +row new Error("Invalid rotation")}}function getSizeInBytes(e){return Math.ceil(Math.ceil(Math.log2(1+e))/8)}class QCMS{static#a=null;static _memory=null;static _mustAddAlpha=!1;static _destBuffer=null;static _destOffset=0;static _destLength=0;static _cssColor="";static _makeHexColor=null;static get _memoryArray(){const e=this.#a;return e?.byteLength?e:this.#a=new Uint8Array(this._memory.buffer)}}let Da;const Ba="undefined"!=typeof TextDecoder?new TextDecoder("utf-8",{ignoreBOM:!0,fatal:!0}):{dec\ +ode:()=>{throw Error("TextDecoder not available")}};"undefined"!=typeof TextDecoder&&Ba.decode();let Ra=null;function getUint8ArrayMemory0(){null!==Ra&&0!==Ra.byteLength||(Ra=new Uint8Array(Da.memory.buffer));return Ra}let Na=0;function passArray8ToWasm0(e,t){const a=t(1*e.length,1)>>>0;getUint8ArrayMemory0().set(e,a/1);Na=e.length;return a}const Ea=Object.freeze({RGB8:0,0:"RGB8",RGBA8:1,1:"RGBA8",BGRA8:2,2:"BGRA8",Gray8:3,3:"Gray8",GrayA8:4,4:"GrayA8",CMYK:5,5:"CMYK"}),Pa=Object.freeze({Percept\ +ual:0,0:"Perceptual",RelativeColorimetric:1,1:"RelativeColorimetric",Saturation:2,2:"Saturation",AbsoluteColorimetric:3,3:"AbsoluteColorimetric"});function __wbg_get_imports(){const e={wbg:{}};e.wbg.__wbg_copyresult_b08ee7d273f295dd=function(e,t){!function copy_result(e,t){const{_mustAddAlpha:a,_destBuffer:r,_destOffset:i,_destLength:n,_memoryArray:s}=QCMS;if(t!==n)if(a)for(let a=e,n=e+t,o=i;a>>0,t>>>0)};e.wbg.__wbg_copyrgb_d60ce17bb05d9b67=function(e){!function copy_rgb(e){const{_destBuffer:t,_destOffset:a,_memoryArray:r}=QCMS;t[a]=r[e];t[a+1]=r[e+1];t[a+2]=r[e+2]}(e>>>0)};e.wbg.__wbg_makecssRGB_893bf0cd9fdb302d=function(e){!function make_cssRGB(e){const{_memoryArray:t}=QCMS;QCMS._cssColor=QCMS._makeHexColor(t[e],t[e+1],t[e+2])}(e>>>0)};e.wbg.__wbindgen_init_externref_table=function(){const e=Da.__wbindgen_exp\ +ort_0,t=e.grow(4);e.set(0,void 0);e.set(t+0,void 0);e.set(t+1,null);e.set(t+2,!0);e.set(t+3,!1)};e.wbg.__wbindgen_throw=function(e,t){throw new Error(function getStringFromWasm0(e,t){e>>>=0;return Ba.decode(getUint8ArrayMemory0().subarray(e,e+t))}(e,t))};return e}function __wbg_finalize_init(e,t){Da=e.exports;__wbg_init.__wbindgen_wasm_module=t;Ra=null;Da.__wbindgen_start();return Da}async function __wbg_init(e){if(void 0!==Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({\ +module_or_path:e}=e):console.warn("using deprecated parameters for the initialization function; pass a single object instead"));const t=__wbg_get_imports();("string"==typeof e||"function"==typeof Request&&e instanceof Request||"function"==typeof URL&&e instanceof URL)&&(e=fetch(e));const{instance:a,module:r}=await async function __wbg_load(e,t){if("function"==typeof Response&&e instanceof Response){if("function"==typeof WebAssembly.instantiateStreaming)try{return await WebAssembly.instantiateStr\ +eaming(e,t)}catch(t){if("application/wasm"==e.headers.get("Content-Type"))throw t;console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original error:\\n",t)}const a=await e.arrayBuffer();return await WebAssembly.instantiate(a,t)}{const a=await WebAssembly.instantiate(e,t);return a instanceof WebAssembly.Instance?{instance:a,module:e}:a}}(await e,t);return __wbg\ +_finalize_init(a,r)}class ColorSpace{static#r=new Uint8ClampedArray(3);constructor(e,t){this.name=e;this.numComps=t}getRgb(e,t,a=new Uint8ClampedArray(3)){this.getRgbItem(e,t,a,0);return a}getRgbHex(e,t){const a=this.getRgb(e,t,ColorSpace.#r);return Util.makeHexColor(a[0],a[1],a[2])}getRgbItem(e,t,a,r){unreachable("Should not call ColorSpace.getRgbItem")}getRgbBuffer(e,t,a,r,i,n,s){unreachable("Should not call ColorSpace.getRgbBuffer")}getOutputLength(e,t){unreachable("Should not call ColorSpace\ +.getOutputLength")}isPassthrough(e){return!1}isDefaultDecode(e,t){return ColorSpace.isDefaultDecode(e,this.numComps)}fillRgb(e,t,a,r,i,n,s,o,c){const l=t*a;let h=null;const u=1<u&&"DeviceGray"!==this.name&&"DeviceRGB"!==this.name){const t=s<=8?new Uint8Array(u):new Uint16Array(u);for(let e=0;e=.99554525?1:MathClamp(1.055*e**(1/2.4)-.055,0,1)}#b(e){return e<0?-this.#b(-e):e>8?((e+16)/116)**3:e*CalRGBCS.#d}#y(e,t,a){if(0===e[0]&&0===e[1]&&0===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=this.#b(0),i=(1-r)/(1-this.#b(e[0])),n=1-i,s=(1-r)/(1-this.#b(e[1])),o=1-s,c=(1-r)/(1-this.#b(e[2])),l=1-c;a[0]=t[0]*i+n;a[1]=t[1]*s+o;a[2]=t[2]*c+l}#w(e,t,a){if(1===e[0]&&1===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS\ +.#l;this.#g(e,r,i);this.#f(CalRGBCS.#s,i,a)}#x(e,t,a){const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#p(e,r,i);this.#f(CalRGBCS.#s,i,a)}#i(e,t,a,r,i){const n=MathClamp(e[t]*i,0,1),s=MathClamp(e[t+1]*i,0,1),o=MathClamp(e[t+2]*i,0,1),c=1===n?1:n**this.GR,l=1===s?1:s**this.GG,h=1===o?1:o**this.GB,u=this.MXA*c+this.MXB*l+this.MXC*h,d=this.MYA*c+this.MYB*l+this.MYC*h,f=this.MZA*c+this.MZB*l+this.MZC*h,g=CalRGBCS.#h;g[0]=u;g[1]=d;g[2]=f;const p=CalRGBCS.#u;this.#w(this.whitePoint,g,p);con\ +st m=CalRGBCS.#h;this.#y(this.blackPoint,p,m);const b=CalRGBCS.#u;this.#x(CalRGBCS.#c,m,b);const y=CalRGBCS.#h;this.#f(CalRGBCS.#o,b,y);a[r]=255*this.#m(y[0]);a[r+1]=255*this.#m(y[1]);a[r+2]=255*this.#m(y[2])}getRgbItem(e,t,a,r){this.#i(e,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<this.amax||this.bmin>this.bmax){info("Invalid Range, falling back to defaults");this.amin=-\ +100;this.amax=100;this.bmin=-100;this.bmax=100}}#S(e){return e>=6/29?e**3:108/841*(e-4/29)}#A(e,t,a,r){return a+e*(r-a)/t}#i(e,t,a,r,i){let n=e[t],s=e[t+1],o=e[t+2];if(!1!==a){n=this.#A(n,a,0,100);s=this.#A(s,a,this.amin,this.amax);o=this.#A(o,a,this.bmin,this.bmax)}s>this.amax?s=this.amax:sthis.bmax?o=this.bmax:o{!function qcms_drop_transformer(e){Da.qcms_drop_transformer(e)}(e)}));constructor(e,t,a){if(!IccColorSpace.isUsable)throw new Error("No ICC color space support");super(t,a);let r;switch(a){case 1:r=Ea.Gray8;this.#C=(e,t,a)=>function qcms_convert_on\ +e(e,t,a){Da.qcms_convert_one(e,t,a)}(this.#k,255*e[t],a);break;case 3:r=Ea.RGB8;this.#C=(e,t,a)=>function qcms_convert_three(e,t,a,r,i){Da.qcms_convert_three(e,t,a,r,i)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],a);break;case 4:r=Ea.CMYK;this.#C=(e,t,a)=>function qcms_convert_four(e,t,a,r,i,n){Da.qcms_convert_four(e,t,a,r,i,n)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],255*e[t+3],a);break;default:throw new Error(`Unsupported number of components: ${a}`)}this.#k=function qcms_transformer_from_memory(e,\ +t,a){const r=passArray8ToWasm0(e,Da.__wbindgen_malloc),i=Na;return Da.qcms_transformer_from_memory(r,i,t,a)>>>0}(e,r,Pa.Perceptual);if(!this.#k)throw new Error("Failed to create ICC color space");IccColorSpace.#I.register(this,this.#k)}getRgbHex(e,t){this.#C(e,t,!0);return QCMS._cssColor}getRgbItem(e,t,a,r){QCMS._destBuffer=a;QCMS._destOffset=r;QCMS._destLength=3;this.#C(e,t,!1);QCMS._destBuffer=null}getRgbBuffer(e,t,a,r,i,n,s){e=e.subarray(t,t+a*this.numComps);if(8!==n){const t=255/((1<=this.end?-1:this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e)return t.subarray(a,r);let i=a+e;i>\ +r&&(i=r);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);return this.bytes.subarray(e,t)}reset(){this.pos=this.start}moveStart(){this.start=this.pos}makeSubStream(e,t,a=null){return new Stream(this.bytes.buffer,e,t,a)}}class StringStream extends Stream{constructor(e){super(stringToBytes(e))}}class NullStream extends Stream{constructor(){super(new Uint8Array(0))}}class ChunkedStream extends Stream{constructor(e,t,a){super(new Uint8Array(e),0,e,null);this.ch\ +unkSize=t;this._loadedChunks=new Set;this.numChunks=Math.ceil(e/t);this.manager=a;this.progressiveDataLength=0;this.lastSuccessfulEnsureByteChunk=-1}getMissingChunks(){const e=[];for(let t=0,a=this.numChunks;t=this.end?this.numChunks:Math.floor(t/this.chunkSize);for(let e=a;ethis.numChunks)&&t!==this.lastSuccessfulEnsureByteChunk){if(!this._loadedChunks.has(t))throw new MissingDataException(e,e+1);this.lastSuccessfulEnsureByteChunk=t}}ensureRange(e,t){if(e>=t)return;if(t<=this.progressiveDataLength)return;const a=Math.floor(e/this.chunkSize);if(a>this.numChunks)return;const r=Math.min(Math.floor((t-1)/this.chunkSize)+1,this.numChunks);for(let i=a;i=this.end)return-1;e>=this.progressiveDataLength&&this.ensureByte(e);return this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e){r>this.progressiveDataLength&&this.ensureRange(a,r);return t.subarray(a,r)}let i=a+e;i>r&&(i=r);i\ +>this.progressiveDataLength&&this.ensureRange(a,i);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);t>this.progressiveDataLength&&this.ensureRange(e,t);return this.bytes.subarray(e,t)}makeSubStream(e,t,a=null){t?e+t>this.progressiveDataLength&&this.ensureRange(e,e+t):e>=this.progressiveDataLength&&this.ensureByte(e);function ChunkedStreamSubstream(){}ChunkedStreamSubstream.prototype=Object.create(this);ChunkedStreamSubstream.prototype.getMissingChunks=funct\ +ion(){const e=this.chunkSize,t=Math.floor(this.start/e),a=Math.floor((this.end-1)/e)+1,r=[];for(let e=t;e{const readChunk=({value:n,done:s})=>{try{if(s){const t=arrayBuffersToBytes(r);r=null;e(t);return}i+=n.byteLength;a.isStreamingSupported&&this.onProgress({loaded:i});r.push(n);a.read().then(readChunk,t)}catch(e){t(e)}};a.read().then(readChunk,t)})).then((t=>{this.aborted||this.onReceiveData({chunk:t,begin:e})}))}requestAllChunks(e=!1){if(!e){const e=this.stream.getMissingChunks();this._requestChun\ +ks(e)}return this._loadedStreamCapability.promise}_requestChunks(e){const t=this.currRequestId++,a=new Set;this._chunksNeededByRequest.set(t,a);for(const t of e)this.stream.hasChunk(t)||a.add(t);if(0===a.size)return Promise.resolve();const r=Promise.withResolvers();this._promisesByRequest.set(t,r);const i=[];for(const e of a){let a=this._requestsByChunk.get(e);if(!a){a=[];this._requestsByChunk.set(e,a);i.push(e)}a.push(t)}if(i.length>0){const e=this.groupChunks(i);for(const t of e){const e=t.beg\ +inChunk*this.chunkSize,a=Math.min(t.endChunk*this.chunkSize,this.length);this.sendRequest(e,a).catch(r.reject)}}return r.promise.catch((e=>{if(!this.aborted)throw e}))}getStream(){return this.stream}requestRange(e,t){t=Math.min(t,this.length);const a=this.getBeginChunk(e),r=this.getEndChunk(t),i=[];for(let e=a;ee-t));return this._requestChunks(t)}groupChunks(e){const t=[];let a=-1,r=-1;for(let i=0,n=e.length;i=0&&r+1!==n){t.push({beginChunk:a,endChunk:r+1});a=n}i+1===e.length&&t.push({beginChunk:a,endChunk:n+1});r=n}return t}onProgress(e){this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize+e.loaded,total:this.length})}onReceiveData(e){const t=e.chunk,a=void 0===e.begin,r=a?this.progressiveDataLength:e.\ +begin,i=r+t.byteLength,n=Math.floor(r/this.chunkSize),s=i0||o.push(a)}}}if(!this.disableAutoFetch&&0===this._requestsByChunk.size){let e;if(1===this.stream.numChunksLoaded){const t=this.stream.numChunks-1;this.stream.hasChunk(t)||(e=t)}else e=this.stream.nextEmptyChunk(s);Number.isInteger(e)&&this._requestChunks([e])}for(const e of o){const t=this._promisesByRequest.get(e);this._promisesByRequest.delete(e);t.resolve()}this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize,total:this.length})}onError(e){this._l\ +oadedStreamCapability.reject(e)}getBeginChunk(e){return Math.floor(e/this.chunkSize)}getEndChunk(e){return Math.floor((e-1)/this.chunkSize)+1}abort(e){this.aborted=!0;this.pdfNetworkStream?.cancelAllRequests(e);for(const t of this._promisesByRequest.values())t.reject(e)}}function convertToRGBA(e){switch(e.kind){case k:return convertBlackAndWhiteToRGBA(e);case C:return function convertRGBToRGBA({src:e,srcPos:t=0,dest:a,destPos:r=0,width:i,height:n}){let s=0;const o=i*n*3,c=o>>2,l=new Uint32Array(\ +e.buffer,t,c);if(FeatureTest.isLittleEndian){for(;s>>24|t<<8|4278190080;a[r+2]=t>>>16|i<<16|4278190080;a[r+3]=i>>>8|4278190080}for(let i=4*s,n=t+o;i>>8|255;a[r+2]=t<<16|i>>>16|255;a[r+3]=i<<8|255}for(let i=4*s,n=t+o;i>3,u=7&r,d=e.length;a=new Uint32Array(a.buffer);let f=0;for(let r=0;ra||t>a)return!0;const r=e*t;if(this._hasMaxArea)return r>this.M\ +AX_AREA;if(r(this.MAX_AREA=this.#O**2)}static getReducePowerForJPX(e,t,a){const r=e*t,i=2**30/(4*a);if(!this.needsToBeResized(e,t))return r>i?Math.ceil(Math.log2(r/i)):0;const{MAX_DIM:n,MAX_AREA:s}=this,o=Math.max(e/n,t/n,Math.sqrt(r/Math.min(i,s)));return Math.ceil(Math.log2(o))}static get MAX_DIM(){return shadow(this,"MAX_DIM",this._gues\ +sMax(2048,65537,0,1))}static get MAX_AREA(){this._hasMaxArea=!0;return shadow(this,"MAX_AREA",this._guessMax(this.#O,this.MAX_DIM,128,0)**2)}static set MAX_AREA(e){if(e>=0){this._hasMaxArea=!0;shadow(this,"MAX_AREA",e)}}static setOptions({canvasMaxAreaInBytes:e=-1,isImageDecoderSupported:t=!1}){this._hasMaxArea||(this.MAX_AREA=e>>2);this.#M=t}static _areGoodDims(e,t){try{const a=new OffscreenCanvas(e,t),r=a.getContext("2d");r.fillRect(0,0,1,1);const i=r.getImageData(0,0,1,1).data[3];a.width=a.he\ +ight=1;return 0!==i}catch{return!1}}static _guessMax(e,t,a,r){for(;e+a+1va){const e=this.#D();if(e)return e}const r=this._encodeBMP();let i,n;if(await ImageResizer.canUseImageDecoder){i=new ImageDecoder({data:r,type:"image/bmp",preferAnimation:!1,transfer:[r.buffer]});\ +n=i.decode().catch((e=>{warn(`BMP image decoding failed: ${e}`);return createImageBitmap(new Blob([this._encodeBMP().buffer],{type:"image/bmp"}))})).finally((()=>{i.close()}))}else n=createImageBitmap(new Blob([r.buffer],{type:"image/bmp"}));const{MAX_AREA:s,MAX_DIM:o}=ImageResizer,c=Math.max(t/o,a/o,Math.sqrt(t*a/s)),l=Math.max(c,2),h=Math.round(10*(c+1.25))/10/l,u=Math.floor(Math.log2(h)),d=new Array(u+2).fill(2);d[0]=l;d.splice(-1,1,h/(1<>s,c=r>>s;let l,h=r;try{l=new Uint8Array(n)}catch{let e=Math.floor(Math.log2(n+1));for(;;)try{l=new Uint8Array(2**e-1);break}catch{e-=1}h=Math.floor((2**e-1)\ +/(4*a));const t=a*h*4;t>s;e>3,s=a+3&-4;if(a!==s){const e=new Uint8Array(s*t);let r=0;fo\ +r(let n=0,o=t*a;ni&&(r=i)}else{for(;!this.eof;)this.readBlock(t);r=this.bufferLength}this.pos=r;return this.buffer.subarray(a,r)}async getImageData(e,t){if(!this.canAsyncDecodeImageFromBuffer)return this.isAsyncDecoder?this.decodeImage(null,t):this.getBytes(e,t);const a=await this.stream.asyncGetBytes();return this.decodeImage(a,t)}reset(){this.pos=0}makeSubStream(e,t,a=null){if(void 0===t)for(;!this.eof;)this.readBlock();else{const a=e+t;for\ +(;this.bufferLength<=a&&!this.eof;)this.readBlock()}return new Stream(this.buffer,e,t,a)}getBaseStreams(){return this.str?this.str.getBaseStreams():null}}class StreamsSequenceStream extends DecodeStream{constructor(e,t=null){e=e.filter((e=>e instanceof BaseStream));let a=0;for(const t of e)a+=t instanceof DecodeStream?t._rawMinBufferLength:t.length;super(a);this.streams=e;this._onError=t}readBlock(){const e=this.streams;if(0===e.length){this.eof=!0;return}const t=e.shift();let a;try{a=t.getBytes\ +()}catch(e){if(this._onError){this._onError(e,t.dict?.objId);return}throw e}const r=this.bufferLength,i=r+a.length;this.ensureBuffer(i).set(a,r);this.bufferLength=i}getBaseStreams(){const e=[];for(const t of this.streams){const a=t.getBaseStreams();a&&e.push(...a)}return e.length>0?e:null}}class ColorSpaceUtils{static parse({cs:e,xref:t,resources:a=null,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n,asyncIfNotCached:s=!1}){const o={xref:t,resources:a,pdfFunctionFactory:r,glo\ +balColorSpaceCache:i,localColorSpaceCache:n};let c,l,h;if(e instanceof Ref){l=e;const a=i.getByRef(l)||n.getByRef(l);if(a)return a;e=t.fetch(e)}if(e instanceof Name){c=e.name;const t=n.getByName(c);if(t)return t}try{h=this.#B(e,o)}catch(e){if(s&&!(e instanceof MissingDataException))return Promise.reject(e);throw e}if(c||l){n.set(c,l,h);l&&i.set(null,l,h)}return s?Promise.resolve(h):h}static#R(e,t){const{globalColorSpaceCache:a}=t;let r;if(e instanceof Ref){r=e;const t=a.getByRef(r);if(t)return t\ +}const i=this.#B(e,t);r&&a.set(null,r,i);return i}static#B(e,t){const{xref:a,resources:r,pdfFunctionFactory:i,globalColorSpaceCache:n}=t;if((e=a.fetchIfRef(e))instanceof Name)switch(e.name){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"DeviceRGBA":return this.rgba;case"CMYK":case"DeviceCMYK":return this.cmyk;case"Pattern":return new PatternCS(null);default:if(r instanceof Dict){const a=r.get("ColorSpace");if(a instanceof Dict){const r=a.get(e.name);if(r\ +){if(r instanceof Name)return this.#B(r,t);e=r;break}}}warn(`Unrecognized ColorSpace: ${e.name}`);return this.gray}if(Array.isArray(e)){const r=a.fetchIfRef(e[0]).name;let s,o,c,l,h,u;switch(r){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"CMYK":case"DeviceCMYK":return this.cmyk;case"CalGray":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.get("Gamma");return new CalGrayCS(l,h,u);case"CalRGB":s=a.fetchIfRef(e[1]);l=s.getAr\ +ray("WhitePoint");h=s.getArray("BlackPoint");u=s.getArray("Gamma");const d=s.getArray("Matrix");return new CalRGBCS(l,h,u,d);case"ICCBased":const f=e[1]instanceof Ref;if(f){const t=n.getByRef(e[1]);if(t)return t}const g=a.fetchIfRef(e[1]),p=g.dict;o=p.get("N");if(IccColorSpace.isUsable)try{const t=new IccColorSpace(g.getBytes(),"ICCBased",o);f&&n.set(null,e[1],t);return t}catch(t){if(t instanceof MissingDataException)throw t;warn(`ICCBased color space (${e[1]}): "${t}".`)}const m=p.getRaw("Alter\ +nate");if(m){const e=this.#R(m,t);if(e.numComps===o)return e;warn("ICCBased color space: Ignoring incorrect /Alternate entry.")}if(1===o)return this.gray;if(3===o)return this.rgb;if(4===o)return this.cmyk;break;case"Pattern":c=e[1]||null;c&&(c=this.#R(c,t));return new PatternCS(c);case"I":case"Indexed":c=this.#R(e[1],t);const b=MathClamp(a.fetchIfRef(e[2]),0,255),y=a.fetchIfRef(e[3]);return new IndexedCS(c,b,y);case"Separation":case"DeviceN":const w=a.fetchIfRef(e[1]);o=Array.isArray(w)?w.length\ +:1;c=this.#R(e[2],t);const x=i.create(e[3]);return new AlternateCS(o,c,x);case"Lab":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");const S=s.getArray("Range");return new LabCS(l,h,S);default:warn(`Unimplemented ColorSpace object: ${r}`);return this.gray}}warn(`Unrecognized ColorSpace object: ${e}`);return this.gray}static get gray(){return shadow(this,"gray",new DeviceGrayCS)}static get rgb(){return shadow(this,"rgb",new DeviceRgbCS)}static get rgba(){return shadow(th\ +is,"rgba",new DeviceRgbaCS)}static get cmyk(){if(CmykICCBasedCS.isUsable)try{return shadow(this,"cmyk",new CmykICCBasedCS)}catch{warn("CMYK fallback: DeviceCMYK")}return shadow(this,"cmyk",new DeviceCmykCS)}}class JpegError extends fa{constructor(e){super(e,"JpegError")}}class DNLMarkerError extends fa{constructor(e,t){super(e,"DNLMarkerError");this.scanLines=t}}class EOIMarkerError extends fa{constructor(e){super(e,"EOIMarkerError")}}const ja=new Uint8Array([0,1,8,16,9,2,3,10,17,24,32,25,18,11,\ +4,5,12,19,26,33,40,48,41,34,27,20,13,6,7,14,21,28,35,42,49,56,57,50,43,36,29,22,15,23,30,37,44,51,58,59,52,45,38,31,39,46,53,60,61,54,47,55,62,63]),_a=4017,Ua=799,Xa=3406,qa=2276,Ha=1567,Wa=3784,za=5793,$a=2896;function buildHuffmanTable(e,t){let a,r,i=0,n=16;for(;n>0&&!e[n-1];)n--;const s=[{children:[],index:0}];let o,c=s[0];for(a=0;a0;)c=s.pop();c.index++;s.push(c);for(;s.length<=a;){s.push(o={children:[],index:0});c.c\ +hildren[c.index]=o.children;c=o}i++}if(a+10){g--;return f>>g&1}f=e[t++];if(255===f){const r=e[t++];if(r){if(220===r&&l){const r=readUint16(e,t+=2);t+=2;if(r>0&&r!==a.scanLines)throw new DNLMarkerError("Found DNL \ +marker (0xFFDC) while parsing scan data",r)}else if(217===r){if(l){const e=y*(8===a.precision?8:0);if(e>0&&Math.round(a.scanLines/e)>=5)throw new DNLMarkerError("Found EOI marker (0xFFD9) while parsing scan data, possibly caused by incorrect `scanLines` parameter",e)}throw new EOIMarkerError("Found EOI marker (0xFFD9) while parsing scan data")}throw new JpegError(`unexpected marker ${(f<<8|r).toString(16)}`)}}g=7;return f>>>7}function decodeHuffman(e){let t=e;for(;;){t=t[readBit()];switch(typeof\ + t){case"number":return t;case"object":continue}throw new JpegError("invalid huffman sequence")}}function receive(e){let t=0;for(;e>0;){t=t<<1|readBit();e--}return t}function receiveAndExtend(e){if(1===e)return 1===readBit()?1:-1;const t=receive(e);return t>=1<0){p--;return}let a=n;const r=s;for(;a<=r;){const r=decodeHuffman(e.huffmanTableAC),i=15&r,n=r>>4;if(0===i){if(n<15){p=receive(n)+(1<>4;if(0===i)if(l<15){p=receive(l)+(1<>4;if(0===r){if(n<15)break;i+=16;continue}i+=n;const s=ja[i];e.blockData[t+s]=receiveAndExtend(r);i++}};let T,O=0;const M=1===w?r[0].blocksPerLine*r[0].blocks\ +PerColumn:h*a.mcusPerColumn;let D,R;for(;O<=M;){const a=i?Math.min(M-O,i):M;if(a>0){for(S=0;S0?"unexpected":"excessive"} MCU data, current marker is: ${T.invalid}`);t=T.offset}if(!(T.marker>=65488&&T.marker<=65495))break;t+=\ +2}return t-d}function quantizeAndInverse(e,t,a){const r=e.quantizationTable,i=e.blockData;let n,s,o,c,l,h,u,d,f,g,p,m,b,y,w,x,S;if(!r)throw new JpegError("missing required Quantization Table.");for(let e=0;e<64;e+=8){f=i[t+e];g=i[t+e+1];p=i[t+e+2];m=i[t+e+3];b=i[t+e+4];y=i[t+e+5];w=i[t+e+6];x=i[t+e+7];f*=r[e];if(g|p|m|b|y|w|x){g*=r[e+1];p*=r[e+2];m*=r[e+3];b*=r[e+4];y*=r[e+5];w*=r[e+6];x*=r[e+7];n=za*f+128>>8;s=za*b+128>>8;o=p;c=w;l=$a*(g-x)+128>>8;d=$a*(g+x)+128>>8;h=m<<4;u=y<<4;n=n+s+1>>1;s=n-\ +s;S=o*Wa+c*Ha+128>>8;o=o*Ha-c*Wa+128>>8;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;a[e]=n+d;a[e+7]=n-d;a[e+1]=s+u;a[e+6]=s-u;a[e+2]=o+h;a[e+5]=o-h;a[e+3]=c+l;a[e+4]=c-l}else{S=za*f+512>>10;a[e]=S;a[e+1]=S;a[e+2]=S;a[e+3]=S;a[e+4]=S;a[e+5]=S;a[e+6]=S;a[e+7]=S}}for(let e=0;e<8;++e){f=a[e];g=a[e+8];p=a[e+16];m=a[e+24];b=a[e+32];y=a[e+40];w=a[e+48];x=a[e+56];if(g|p|m|b|y|w|x){n=za\ +*f+2048>>12;s=za*b+2048>>12;o=p;c=w;l=$a*(g-x)+2048>>12;d=$a*(g+x)+2048>>12;h=m;u=y;n=4112+(n+s+1>>1);s=n-s;S=o*Wa+c*Ha+2048>>12;o=o*Ha-c*Wa+2048>>12;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;f=n+d;x=n-d;g=s+u;w=s-u;p=o+h;y=o-h;m=c+l;b=c-l;f<16?f=0:f>=4080?f=255:f>>=4;g<16?g=0:g>=4080?g=255:g>>=4;p<16?p=0:p>=4080?p=255:p>>=4;m<16?m=0:m>=4080?m=255:m>>=4;b<16?b=0:b>=4080?b=255\ +:b>>=4;y<16?y=0:y>=4080?y=255:y>>=4;w<16?w=0:w>=4080?w=255:w>>=4;x<16?x=0:x>=4080?x=255:x>>=4;i[t+e]=f;i[t+e+8]=g;i[t+e+16]=p;i[t+e+24]=m;i[t+e+32]=b;i[t+e+40]=y;i[t+e+48]=w;i[t+e+56]=x}else{S=za*f+8192>>14;S=S<-2040?0:S>=2024?255:S+2056>>4;i[t+e]=S;i[t+e+8]=S;i[t+e+16]=S;i[t+e+24]=S;i[t+e+32]=S;i[t+e+40]=S;i[t+e+48]=S;i[t+e+56]=S}}}function buildComponentData(e,t){const a=t.blocksPerLine,r=t.blocksPerColumn,i=new Int16Array(64);for(let e=0;e=r)return null;const n=readUint16(e,t);if(n>=65472&&n<=65534)return{invalid:null,marker:n,offset:t};let s=readUint16(e,i);for(;!(s>=65472&&s<=65534);){if(++i>=r)return null;s=readUint16(e,i)}return{invalid:n.toString(16),marker:s,offset:i}}function prepareComponents(e){const t=Math.ceil(e.samplesPerLine/8/e.maxH),a=Math.ceil(e.scanLines/8/e.maxV);for(const r of e.components){co\ +nst i=Math.ceil(Math.ceil(e.samplesPerLine/8)*r.h/e.maxH),n=Math.ceil(Math.ceil(e.scanLines/8)*r.v/e.maxV),s=t*r.h,o=64*(a*r.v)*(s+1);r.blockData=new Int16Array(o);r.blocksPerLine=i;r.blocksPerColumn=n}e.mcusPerLine=t;e.mcusPerColumn=a}function readDataBlock(e,t){const a=readUint16(e,t);let r=(t+=2)+a-2;const i=findNextFileMarker(e,r,t);if(i?.invalid){warn("readDataBlock - incorrect length, current marker is: "+i.invalid);r=i.offset}const n=e.subarray(t,r);return{appData:n,oldOffset:t,newOffset:\ +t+n.length}}function skipData(e,t){const a=readUint16(e,t),r=(t+=2)+a-2,i=findNextFileMarker(e,r,t);return i?.invalid?i.offset:r}class JpegImage{constructor({decodeTransform:e=null,colorTransform:t=-1}={}){this._decodeTransform=e;this._colorTransform=t}static canUseImageDecoder(e,t=-1){let a=null,r=0,i=null,n=readUint16(e,r);r+=2;if(65496!==n)throw new JpegError("SOI not found");n=readUint16(e,r);r+=2;e:for(;65497!==n;){switch(n){case 65505:const{appData:t,oldOffset:s,newOffset:o}=readDataBlock(\ +e,r);r=o;if(69===t[0]&&120===t[1]&&105===t[2]&&102===t[3]&&0===t[4]&&0===t[5]){if(a)throw new JpegError("Duplicate EXIF-blocks found.");a={exifStart:s+6,exifEnd:o}}n=readUint16(e,r);r+=2;continue;case 65472:case 65473:case 65474:i=e[r+7];break e;case 65535:255!==e[r]&&r--}r=skipData(e,r);n=readUint16(e,r);r+=2}return 4===i||3===i&&0===t?null:a||{}}parse(e,{dnlScanLines:t=null}={}){let a,r,i=0,n=null,s=null,o=0;const c=[],l=[],h=[];let u=readUint16(e,i);i+=2;if(65496!==u)throw new JpegError("SOI \ +not found");u=readUint16(e,i);i+=2;e:for(;65497!==u;){let d,f,g;switch(u){case 65504:case 65505:case 65506:case 65507:case 65508:case 65509:case 65510:case 65511:case 65512:case 65513:case 65514:case 65515:case 65516:case 65517:case 65518:case 65519:case 65534:const{appData:p,newOffset:m}=readDataBlock(e,i);i=m;65504===u&&74===p[0]&&70===p[1]&&73===p[2]&&70===p[3]&&0===p[4]&&(n={version:{major:p[5],minor:p[6]},densityUnits:p[7],xDensity:p[8]<<8|p[9],yDensity:p[10]<<8|p[11],thumbWidth:p[12],thumb\ +Height:p[13],thumbData:p.subarray(14,14+3*p[12]*p[13])});65518===u&&65===p[0]&&100===p[1]&&111===p[2]&&98===p[3]&&101===p[4]&&(s={version:p[5]<<8|p[6],flags0:p[7]<<8|p[8],flags1:p[9]<<8|p[10],transformCode:p[11]});break;case 65499:const b=readUint16(e,i);i+=2;const y=b+i-2;let w;for(;i>4){if(t>>4!=1)throw new JpegError("DQT - invalid table spec");for(f=0;f<64;f++){w=ja[f];a[w]=readUint16(e,i);i+=2}}else for(f=0;f<64;f++){w=ja[f];a[w]=e[i++]}c[15&t]=\ +a}break;case 65472:case 65473:case 65474:if(a)throw new JpegError("Only single frame JPEGs supported");i+=2;a={};a.extended=65473===u;a.progressive=65474===u;a.precision=e[i++];const x=readUint16(e,i);i+=2;a.scanLines=t||x;a.samplesPerLine=readUint16(e,i);i+=2;a.components=[];a.componentIds={};const S=e[i++];let k=0,C=0;for(d=0;d>4,n=15&e[i+1];k>4?l:h)[15&t]=buildHuffmanTable(a,n)}break;case 65501:i+=2;r=readUint16(e,i);i+=2;break;case 65498:const F=1==++o&&!t;i+=2;const T=e[i++],O=[];for(d=0;d>4];n.huffmanTableAC=l[15&s];O.push(n)}const M=e[i++],D=e[i++],R=e[i++];try{i+=decodeScan(e,i,a,O,r,M,D,R>>4,15&R,F)}catch(t){if(t instanceof DNLMarkerError){warn(`${t.message} -- attempting to re-parse the JPEG image.`);return this.parse(e,{dnlScanLines:t.scanLines})}if(t instanceof EOIMarkerError){warn(`${t.message} -- ignoring the rest of the image data.`);break e}throw t}break;case 65500:i+=4;break;case 65535:255!==e[i]&&i--;break;default:const N=findNextFileMarker(e,i-2,i-3);i\ +f(N?.invalid){warn("JpegImage.parse - unexpected data, current marker is: "+N.invalid);i=N.offset;break}if(!N||i>=e.length-1){warn("JpegImage.parse - reached the end of the image data without finding an EOI marker (0xFFD9).");break e}throw new JpegError("JpegImage.parse - unknown marker: "+u.toString(16))}u=readUint16(e,i);i+=2}if(!a)throw new JpegError("JpegImage.parse - no frame data found.");this.width=a.samplesPerLine;this.height=a.scanLines;this.jfif=n;this.adobe=s;this.components=[];for(co\ +nst e of a.components){const t=c[e.quantizationId];t&&(e.quantizationTable=t);this.components.push({index:e.index,output:buildComponentData(0,e),scaleX:e.h/a.maxH,scaleY:e.v/a.maxV,blocksPerLine:e.blocksPerLine,blocksPerColumn:e.blocksPerColumn})}this.numComponents=this.components.length}_getLinearizedBlockData(e,t,a=!1){const r=this.width/e,i=this.height/t;let n,s,o,c,l,h,u,d,f,g,p,m=0;const b=this.components.length,y=e*t*b,w=new Uint8ClampedArray(y),x=new Uint32Array(e),S=4294967288;let k;for(\ +u=0;u>8)+C[f+1];return w}get _isColorConversionNeeded(){return this.adobe?!!this.adobe.transformCode:3===\ +this.numComponents?0!==this._colorTransform&&(82!==this.components[0].index||71!==this.components[1].index||66!==this.components[2].index):1===this._colorTransform}_convertYccToRgb(e){let t,a,r;for(let i=0,n=e.length;i4)throw new JpegError("Unsupported color mode");const n=this._getLinearizedBlockData(e,t,i);if(1===this.numComponents&&(a||r)){const e=n.length*(a?4:3),t=new Uint8ClampedArray(e);let r=0;if(a)!function grayToRGBA(e,t){if(FeatureTest.is\ +LittleEndian)for(let a=0,r=e.length;a0&&(e=e.subarray(t));break}return e}decodeImage(e){if(this.eof)return this.buffer;e=this.#N(e||this.bytes);const t=new JpegImage(this.jpegOptions);t.parse(e);const a=t.getData({width:this.drawWidth,height:this.drawHeight,forceRGBA:this.forceRGBA,force\ +RGB:this.forceRGB,isSourcePDF:!0});this.buffer=a;this.bufferLength=a.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}async getTransferableImage(){if(!await JpegStream.canUseImageDecoder)return null;const e=this.jpegOptions;if(e.decodeTransform)return null;let t;try{const a=this.canAsyncDecodeImageFromBuffer&&await this.stream.asyncGetBytes()||this.bytes;if(!a)return null;let r=this.#N(a);const i=JpegImage.canUseImageDecoder(r,e.colorTransform)\ +;if(!i)return null;if(i.exifStart){r=r.slice();r.fill(0,i.exifStart,i.exifEnd)}t=new ImageDecoder({data:r,type:"image/jpeg",preferAnimation:!1});return(await t.decode()).image}catch(e){warn(`getTransferableImage - failed: "${e}".`);return null}finally{t?.close()}}}var OpenJPEG=async function(e={}){var t,a,r=e,i=new Promise(((e,r)=>{t=e;a=r})),n="./this.program",quit_=(e,t)=>{throw t},s=import.meta.url;try{new URL(".",s).href}catch{}var o,c,l,h,u,d,f=console.log.bind(console),g=console.error.bind\ +(console),p=!1;function updateMemoryViews(){var e=o.buffer;l=new Int8Array(e);new Int16Array(e);h=new Uint8Array(e);new Uint16Array(e);u=new Int32Array(e);d=new Uint32Array(e);new Float32Array(e);new Float64Array(e);new BigInt64Array(e);new BigUint64Array(e)}var m=0,b=null;class ExitStatus{name="ExitStatus";constructor(e){this.message=`Program terminated with exit(${e})`;this.status=e}}var callRuntimeCallbacks=e=>{for(;e.length>0;)e.shift()(r)},y=[],addOnPostRun=e=>y.push(e),w=[],addOnPreRun=e=>\ +w.push(e),x=!0,S=0,k={},handleException=e=>{if(e instanceof ExitStatus||"unwind"==e)return c;quit_(0,e)},keepRuntimeAlive=()=>x||S>0,_proc_exit=e=>{c=e;if(!keepRuntimeAlive()){r.onExit?.(e);p=!0}quit_(0,new ExitStatus(e))},_exit=(e,t)=>{c=e;_proc_exit(e)},callUserCallback=e=>{if(!p)try{e();(()=>{if(!keepRuntimeAlive())try{_exit(c)}catch(e){handleException(e)}})()}catch(e){handleException(e)}},growMemory=e=>{var t=(e-o.buffer.byteLength+65535)/65536|0;try{o.grow(t);updateMemoryViews();return 1}ca\ +tch(e){}},C={},getEnvStrings=()=>{if(!getEnvStrings.strings){var e={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:("object"==typeof navigator&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:n||"./this.program"};for(var t in C)void 0===C[t]?delete e[t]:e[t]=C[t];var a=[];for(var t in e)a.push(`${t}=${e[t]}`);getEnvStrings.strings=a}return getEnvStrings.strings},lengthBytesUTF8=e=>{for(var t=0,a=0;a=55296&&r<=57343){t+=4;++a}else t+=3}return t},v=[null,[],[]],F="undefined"!=typeof TextDecoder?new TextDecoder:void 0,UTF8ArrayToString=(e,t=0,a=NaN)=>{for(var r=t+a,i=t;e[i]&&!(i>=r);)++i;if(i-t>16&&e.buffer&&F)return F.decode(e.subarray(t,i));for(var n="";t>10,56320|1023&l)}}else n+=String.fromCharCode((31&s)<<6|o)}else n+=String.fromCharCode(s)}return n},printChar=(e,t)=>{var a=v[e];if(0===t||10===t){(1===e?f:g)(UTF8ArrayToString(a));a.length=0}else a.push(t)},UTF8ToString=(e,t)=>e?UTF8ArrayToString(h,e,t):"";r.noExitRuntime&&(x=r.noExitRuntime);r.print&&(f=r.print);r.printErr&&(g=r.printErr);r.wasmBinary&&r.wasmBinary;r.arguments&&r.arguments;r.thisProgram&&(n=r.thisProgram);r.writeArrayToMemory=(e,t)=>{l.set(e,\ +t)};var T={l:()=>function abort(e){r.onAbort?.(e);g(e="Aborted("+e+")");p=!0;e+=". Build with -sASSERTIONS for more info.";var t=new WebAssembly.RuntimeError(e);a(t);throw t}(""),k:()=>{x=!1;S=0},m:(e,t)=>{if(k[e]){clearTimeout(k[e].id);delete k[e]}if(!t)return 0;var a=setTimeout((()=>{delete k[e];callUserCallback((()=>M(e,performance.now())))}),t);k[e]={id:a,timeout_ms:t};return 0},g:function _copy_pixels_1(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(t),i=u.subarray(e,e+t);a.set(i)},f:\ +function _copy_pixels_3(e,t,a,i){e>>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(3*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let e=0;e>=2;t>>=2;a>>=2;i>>=2;const s=r.imageData=new Uint8ClampedArray(4*n),o=u.subarray(e,e+n),c=u.subarray(t,t+n),l=u.subarray(a,a+n),h=u.subarray(i,i+n);for(let e=0;e{var t,a,\ +r=h.length,i=2147483648;if((e>>>=0)>i)return!1;for(var n=1;n<=4;n*=2){var s=r*(1+.2/n);s=Math.min(s,e+100663296);var o=Math.min(i,(t=Math.max(e,s),a=65536,Math.ceil(t/a)*a));if(growMemory(o))return!0}return!1},p:(e,t)=>{var a=0,r=0;for(var i of getEnvStrings()){var n=t+a;d[e+r>>2]=n;a+=((e,t,a,r)=>{if(!(r>0))return 0;for(var i=a,n=a+r-1,s=0;s=55296&&o<=57343&&(o=65536+((1023&o)<<10)|1023&e.charCodeAt(++s));if(o<=127){if(a>=n)break;t[a++]=o}else if(o<=2047){\ +if(a+1>=n)break;t[a++]=192|o>>6;t[a++]=128|63&o}else if(o<=65535){if(a+2>=n)break;t[a++]=224|o>>12;t[a++]=128|o>>6&63;t[a++]=128|63&o}else{if(a+3>=n)break;t[a++]=240|o>>18;t[a++]=128|o>>12&63;t[a++]=128|o>>6&63;t[a++]=128|63&o}}t[a]=0;return a-i})(i,h,n,1/0)+1;r+=4}return 0},q:(e,t)=>{var a=getEnvStrings();d[e>>2]=a.length;var r=0;for(var i of a)r+=lengthBytesUTF8(i)+1;d[t>>2]=r;return 0},b:e=>52,o:function _fd_seek(e,t,a,r){t=(i=t)<-9007199254740992||i>9007199254740992?NaN:Number(i);var i;retur\ +n 70},c:(e,t,a,r)=>{for(var i=0,n=0;n>2],o=d[t+4>>2];t+=8;for(var c=0;c>2]=i;return 0},r:function _gray_to_rgba(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(4*t),i=u.subarray(e,e+t);for(let e=0;e>=2;t>>=2;const i=r.imageData=new Uint8ClampedArray(4*a),n=u.subarray(e,e+a),s=u.subarray(t,t+a);for(let e=0;e>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(4*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let e=0;e{r.instantiateWasm(e,((e,a)=>{t(receiveInstance(e))}))}))}(),M=(O.t,r._malloc=O.u,r._free=O.v,r._jp2_decode=O.w,O.x);!function preInit(){if(r.preInit){"function"==typeof r.pre\ +Init&&(r.preInit=[r.preInit]);for(;r.preInit.length>0;)r.preInit.shift()()}}();!function run(){if(m>0)b=run;else{!function preRun(){if(r.preRun){"function"==typeof r.preRun&&(r.preRun=[r.preRun]);for(;r.preRun.length;)addOnPreRun(r.preRun.shift())}callRuntimeCallbacks(w)}();if(m>0)b=run;else if(r.setStatus){r.setStatus("Running...");setTimeout((()=>{setTimeout((()=>r.setStatus("")),1);doRun()}),1)}else doRun()}function doRun(){r.calledRun=!0;if(!p){!function initRuntime(){O.t()}();t(r);r.onRunti\ +meInitialized?.();!function postRun(){if(r.postRun){"function"==typeof r.postRun&&(r.postRun=[r.postRun]);for(;r.postRun.length;)addOnPostRun(r.postRun.shift())}callRuntimeCallbacks(y)}()}}}();return i};const Ga=OpenJPEG;class JpxError extends fa{constructor(e){super(e,"JpxError")}}class JpxImage{static#E=null;static#P=null;static#L=null;static#v=!0;static#j=!0;static#F=null;static setOptions({handler:e,useWasm:t,useWorkerFetch:a,wasmUrl:r}){this.#v=t;this.#j=a;this.#F=r;a||(this.#P=e)}static as\ +ync#_(e){const t=`${this.#F}openjpeg_nowasm_fallback.js`;let a=null;try{a=(await import(\n/*webpackIgnore: true*/\n/*@vite-ignore*/\nt)).default()}catch(e){warn(`JpxImage#getJsModule: ${e}`)}e(a)}static async#U(e,t,a){const r="openjpeg.wasm";try{this.#E||(this.#j?this.#E=await fetchBinaryData(`${this.#F}${r}`):this.#E=await this.#P.sendWithPromise("FetchBinaryData",{type:"wasmFactory",filename:r}));return a((await WebAssembly.instantiate(this.#E,t)).instance)}catch(t){warn(`JpxImage#instantiateWasm\ +: ${t}`);this.#_(e);return null}finally{this.#P=null}}static async decode(e,{numComponents:t=4,isIndexedColormap:a=!1,smaskInData:r=!1,reducePower:i=0}={}){if(!this.#L){const{promise:e,resolve:t}=Promise.withResolvers(),a=[e];this.#v?a.push(Ga({warn,instantiateWasm:this.#U.bind(this,t)})):this.#_(t);this.#L=Promise.race(a)}const n=await this.#L;if(!n)throw new JpxError("OpenJPEG failed to initialize");let s;try{const o=e.length;s=n._malloc(o);n.writeArrayToMemory(e,s);if(n._jp2_decode(s,o,t>0?t:\ +0,!!a,!!r,i)){const{errorMessages:e}=n;if(e){delete n.errorMessages;throw new JpxError(e)}throw new JpxError("Unknown error")}const{imageData:c}=n;n.imageData=null;return c}finally{s&&n._free(s)}}static cleanup(){this.#L=null}static parseImageProperties(e){let t=e.getByte();for(;t>=0;){const a=t;t=e.getByte();if(65361===(a<<8|t)){e.skip(4);const t=e.getInt32()>>>0,a=e.getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0;e.skip(16);return{width:t-r,height:a-i,bitsPerComponent:8,componentsCount:e.\ +getUint16()}}}throw new JpxError("No size marker found in JPX stream")}}function addState(e,t,a,r,i){let n=e;for(let e=0,a=t.length-1;e1e3){l=Math.max(l,d);f+=u+2;d=0;u=0}h.push({transform:t,x:d,y:f,w:a.width,h:a.height});d+=a.width+2;u=Math.max(u,a.height)}const g=Math.max(l,d)+1,p=f+u+1,m=new Uint8Array(g*p*4),b=g<<2;for(let e=0;e=0;){t[n-4]=t[n];t[n-3]=t[n+1];t[n-2]=t[n+2];t[n-1]=t[n+3];t[n+a]=t[n+a-4];t[n+a+1]=t[n+a-3];t[n+a+2]=t[n+a-2];t[n+a+3]=t[n+a-1];n-=b}}const y={width:g,height:p};if(e.isOffscreenCanvasSupported){const e=new OffscreenCanvas(g,p);e.getContext("2d").putImageData(new ImageData(new Uint8ClampedArray(m.buffer),g,p),0,0);y.bitmap=\ +e.transferToImageBitmap();y.data=null}else{y.kind=v;y.data=m}a.splice(n,4*c,Zt);r.splice(n,4*c,[y,h]);return n+1}));addState(Va,[Be,Ne,Vt,Re],null,(function iterateImageMaskGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;case 1:return a[t]===Ne;case 2:return a[t]===Vt;case 3:return a[t]===Re}throw new Error(`iterateImageMaskGroup - invalid pos: ${r}`)}),(function foundImageMaskGroup(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1;let c=Math.flo\ +or((t-n)/4);if(c<10)return t-(t-n)%4;let l,h,u=!1;const d=r[o][0],f=r[s][0],g=r[s][1],p=r[s][2],m=r[s][3];if(g===p){u=!0;l=s+4;let e=o+4;for(let t=1;t=4&&a[n-4]===a[s]&&a[n-3]===a[o]&&a[n-2]===a[c]&&a[n-1]===a[l]&&r[n-4][0]===h&&r[n-4][1]===u){d++;f-=5}let g=f+4;for(let e=1;e{const t=e.argsArray,a=t[e.iCurr-1][0];if(a!==qe&&a!==He&&a!==$e&&a!==Ge&&a!==Ve&&a!==Ke)return!0;const r=t[e.iCurr-2];return 1===r[0]&&0===r[1]&&0===r[2]&&1===r[3]}),(()=>!1),((e,t)=>{const{fnArray:a,args\ +Array:r}=e,i=e.iCurr,n=i-3,s=i-2,o=r[i-1],c=r[s],[,[l],h]=o;if(h){Util.scaleMinMax(c,h);for(let e=0,t=l.length;e=a)break}r=(r||\ +Va)[e[t]];if(r&&!Array.isArray(r)){n.iCurr=t;t++;if(!r.checkFn||(0,r.checkFn)(n)){i=r;r=null}else r=null}else t++}this.state=r;this.match=i;this.lastProcessed=t}flush(){for(;this.match;){const e=this.queue.fnArray.length;this.lastProcessed=(0,this.match.processFn)(this.context,e);this.match=null;this.state=null;this._optimize()}}reset(){this.state=null;this.match=null;this.lastProcessed=0}}class OperatorList{static CHUNK_SIZE=1e3;static CHUNK_SIZE_ABOUT=this.CHUNK_SIZE-5;static isOffscreenCanvas\ +Supported=!1;constructor(e=0,t){this._streamSink=t;this.fnArray=[];this.argsArray=[];this.optimizer=!t||e&d?new NullOptimizer(this):new QueueOptimizer(this);this.dependencies=new Set;this._totalLength=0;this.weight=0;this._resolved=t?null:Promise.resolve()}static setOptions({isOffscreenCanvasSupported:e}){this.isOffscreenCanvasSupported=e}get length(){return this.argsArray.length}get ready(){return this._resolved||this._streamSink.ready}get totalLength(){return this._totalLength+this.length}addO\ +p(e,t){this.optimizer.push(e,t);this.weight++;this._streamSink&&(this.weight>=OperatorList.CHUNK_SIZE||this.weight>=OperatorList.CHUNK_SIZE_ABOUT&&(e===Re||e===et))&&this.flush()}addImageOps(e,t,a,r=!1){if(r){this.addOp(Be);this.addOp(De,[[["SMask",!1]]])}void 0!==a&&this.addOp(jt,["OC",a]);this.addOp(e,t);void 0!==a&&this.addOp(_t,[]);r&&this.addOp(Re)}addDependency(e){if(!this.dependencies.has(e)){this.dependencies.add(e);this.addOp(ke,[e])}}addDependencies(e){for(const t of e)this.addDependen\ +cy(t)}addOpList(e){if(e instanceof OperatorList){for(const t of e.dependencies)this.dependencies.add(t);for(let t=0,a=e.length;t>>0}function hexToStr(e,t){return 1===t?String.fromCharCode(e[0],e[1]):3===t?String.fromCharCode(e[0],e[1],e[2],e[3]):String.fromCharCode(...e.subarray(0,t+1))}function addHex(e,t,a){let r=0;for(let i=a;i>=0;i--){r+=e[i]+t[i];e[i]=255&r;r>>=8}}function incHex(e,t){let a=1;for(let r=t;r>=0&&a>0;r--){a+=e[r];e[r]=255&a;a>>=8}}const Ka=16;class BinaryCMapStream{constructor(e){this.buffer=e;this.pos=0;this.end=e.leng\ +th;this.tmpBuf=new Uint8Array(19)}readByte(){return this.pos>=this.end?-1:this.buffer[this.pos++]}readNumber(){let e,t=0;do{const a=this.readByte();if(a<0)throw new FormatError("unexpected EOF in bcmap");e=!(128&a);t=t<<7|127&a}while(!e);return t}readSigned(){const e=this.readNumber();return 1&e?~(e>>>1):e>>>1}readHex(e,t){e.set(this.buffer.subarray(this.pos,this.pos+t+1));this.pos+=t+1}readHexNumber(e,t){let a;const r=this.tmpBuf;let i=0;do{const e=this.readByte();if(e<0)throw new FormatError("\ +unexpected EOF in bcmap");a=!(128&e);r[i++]=127&e}while(!a);let n=t,s=0,o=0;for(;n>=0;){for(;o<8&&r.length>0;){s|=r[--i]<>=8;o-=8}}readHexSigned(e,t){this.readHexNumber(e,t);const a=1&e[t]?255:0;let r=0;for(let i=0;i<=t;i++){r=(1&r)<<8|e[i];e[i]=r>>1^a}}readString(){const e=this.readNumber(),t=new Array(e);for(let a=0;a=0;){const e=d>>5;if(7===e){switch(31&d){case 0:r.readString();break;case 1:n=r.readString()}continue}const a=!!(16&d),i=15&d;if(i+1>Ka)throw new Error("BinaryCMapReader.process: Invalid dataSize.");const f=1,g=r.readNumber();switch(e){case 0:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);t.addCodespaceRange(i+1,hexToInt(s,\ +i),hexToInt(o,i));for(let e=1;e=0;--i){r[a+i]=255&s;s>>=8}}}}class AsciiHexStream extends DecodeStream{constructor(e,t){t&&(t*=.5);super(t);this.str=e;this.dict=e.dict;this.firstDigit=-1}readBlock(){const e=this.str.getBytes(8e3);if(!e.length){this.eof=!0;return}const t=e.length+1>>1,a=this.ensureBuffer(this.bufferLength+t);let r=this.bufferLe\ +ngth,i=this.firstDigit;for(const t of e){let e;if(t>=48&&t<=57)e=15&t;else{if(!(t>=65&&t<=70||t>=97&&t<=102)){if(62===t){this.eof=!0;break}continue}e=9+(15&t)}if(i<0)i=e;else{a[r++]=i<<4|e;i=-1}}if(i>=0&&this.eof){a[r++]=i<<4;i=-1}this.firstDigit=i;this.bufferLength=r}}const Ja=-1,Ya=[[-1,-1],[-1,-1],[7,8],[7,7],[6,6],[6,6],[6,5],[6,5],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],\ +[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1\ 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+8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[11,23],[11,23],[12,50],[12,51],[12,44],[12,45],[12,46],[12,47],[12,57],[12,58],[12,61],[12,256],[10,16],[10,16],[10,16],[10,16],[10,17],[10,17],[10,17],[10,17],[12,48],[12,49],[12,62],[12,63],[12,30],[12,31],[12,32],[12,33],[12,40],[12,41],[11,22],[11,22],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10]\ +,[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[12,128],[12,192],[12,26],[12,27],[12,28],[12,29],[11,19],[11,19],[11,20],[11,20],[12,\ +34],[12,35],[12,36],[12,37],[12,38],[12,39],[11,21],[11,21],[12,42],[12,43],[10,0],[10,0],[10,0],[10,0],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12]],ar=[[-1,-1],[-1,-1],[-1,-1],[-1,-1],[6,9],[6,8],[5,7],[5,7],[4,6],[4,6],[4,6],[4,6],[4,5],[4,5],[4,5],[4,5],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,\ +4],[3,4],[3,4],[3,4],[3,4],[3,4],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2]];class CCITTFaxDecoder{constructor(e,t={}){if("function"!=typeof e?.next)throw new Error(\'CCITTFaxDecoder - invalid "source" parameter.\');this.source=e;this.eof=!1;this.encoding=t.K||0;this.eoline=t.EndOfLine||!1;this.byteAlign=t.EncodedByteAlign||!1;this.columns=t.Columns||\ +1728;this.rows=t.Rows||0;this.eoblock=t.EndOfBlock??!0;this.black=t.BlackIs1||!1;this.codingLine=new Uint32Array(this.columns+1);this.refLine=new Uint32Array(this.columns+2);this.codingLine[0]=this.columns;this.codingPos=0;this.row=0;this.nextLine2D=this.encoding<0;this.inputBits=0;this.inputBuf=0;this.outputBits=0;this.rowsDone=!1;let a;for(;0===(a=this._lookBits(12));)this._eatBits(1);1===a&&this._eatBits(12);if(this.encoding>0){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}}readNextChar\ +(){if(this.eof)return-1;const e=this.refLine,t=this.codingLine,a=this.columns;let r,i,n,s,o;if(0===this.outputBits){this.rowsDone&&(this.eof=!0);if(this.eof)return-1;this.err=!1;let n,o,c;if(this.nextLine2D){for(s=0;t[s]=64);do{o+=c=this._getWhiteCode()}while(c>\ +=64)}else{do{n+=c=this._getWhiteCode()}while(c>=64);do{o+=c=this._getBlackCode()}while(c>=64)}this._addPixels(t[this.codingPos]+n,i);t[this.codingPos]0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]=64);else do{n+=c=this._getWhiteCode()}while(c>=64);this._addPixels(t[this.codingPos]+n,i);i^=1}}let l=!1;this.byteAlign&&(this.inputBits&=-8);if(this.eoblock||this.row!==this.rows-1){n=this._lookBits(12)\ +;if(this.eoline)for(;n!==Ja&&1!==n;){this._eatBits(1);n=this._lookBits(12)}else for(;0===n;){this._eatBits(1);n=this._lookBits(12)}if(1===n){this._eatBits(12);l=!0}else n===Ja&&(this.eof=!0)}else this.rowsDone=!0;if(!this.eof&&this.encoding>0&&!this.rowsDone){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}if(this.eoblock&&l&&this.byteAlign){n=this._lookBits(12);if(1===n){this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}if(this.encoding>=0)for(s=0;s<4;++s){n=this._loo\ +kBits(12);1!==n&&info("bad rtc code: "+n);this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}}this.eof=!0}}else if(this.err&&this.eoline){for(;;){n=this._lookBits(13);if(n===Ja){this.eof=!0;return-1}if(n>>1==1)break;this._eatBits(1)}this._eatBits(12);if(this.encoding>0){this._eatBits(1);this.nextLine2D=!(1&n)}}this.outputBits=t[0]>0?t[this.codingPos=0]:t[this.codingPos=1];this.row++}if(this.outputBits>=8){o=1&this.codingPos?0:255;this.outputBits-=8;if(0===this.outputBits&&t\ +[this.codingPos]n){o<<=n;1&this.codingPos||(o|=255>>8-n);this.outputBits-=n;n=0}else{o<<=this.outputBits;1&this.codingPos||(o|=255>>8-this.outputBits);n-=this.outputBits;this.outputBits=0;if(t[this.codingPos]0){o<<=n;n=0}}}while(n)}this.black&&(o^=255);return o}_addPixels(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}this.codingPos=r}_addPixelsNeg(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}else if(e0&&e\ +=i){const t=a[e-i];if(t[0]===r){this._eatBits(r);return[!0,t[1],!0]}}}return[!1,0,!1]}_getTwoDimCode(){let e,t=0;if(this.eoblock){t=this._lookBits(7);e=Ya[t];if(e?.[0]>0){this._eatBits(e[0]);return e[1]}}else{const e=this._findTableCode(1,7,Ya);if(e[0]&&e[2])return e[1]}info("Bad two dim code");return Ja}_getWhiteCode(){let e,t=\ +0;if(this.eoblock){t=this._lookBits(12);if(t===Ja)return 1;e=t>>5?Qa[t>>3]:Za[t];if(e[0]>0){this._eatBits(e[0]);return e[1]}}else{let e=this._findTableCode(1,9,Qa);if(e[0])return e[1];e=this._findTableCode(11,12,Za);if(e[0])return e[1]}info("bad white code");this._eatBits(1);return 1}_getBlackCode(){let e,t;if(this.eoblock){e=this._lookBits(13);if(e===Ja)return 1;t=e>>7?!(e>>9)&&e>>7?tr[(e>>1)-64]:ar[e>>7]:er[e];if(t[0]>0){this._eatBits(t[0]);return t[1]}}else{let e=this._findTableCode(2,6,ar);i\ +f(e[0])return e[1];e=this._findTableCode(7,12,tr,64);if(e[0])return e[1];e=this._findTableCode(10,13,er);if(e[0])return e[1]}info("bad black code");this._eatBits(1);return 1}_lookBits(e){let t;for(;this.inputBits>16-e;this.inputBuf=this.inputBuf<<8|t;this.inputBits+=8}return this.inputBuf>>this.inputBits-e&65535>>16-e}_eatBits(e){(this.inputBits-=e)<0&&(this.inputBits=0)}}class CCITTFaxStream e\ +xtends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;a instanceof Dict||(a=Dict.empty);const r={next:()=>e.getByte()};this.ccittFaxDecoder=new CCITTFaxDecoder(r,{K:a.get("K"),EndOfLine:a.get("EndOfLine"),EncodedByteAlign:a.get("EncodedByteAlign"),Columns:a.get("Columns"),Rows:a.get("Rows"),EndOfBlock:a.get("EndOfBlock"),BlackIs1:a.get("BlackIs1")})}readBlock(){for(;!this.eof;){const e=this.ccittFaxDecoder.readNextChar();if(-1===e){this.eof=!0;return}this.ensureBuffer(this.\ +bufferLength+1);this.buffer[this.bufferLength++]=e}}}const rr=new Int32Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),ir=new Int32Array([3,4,5,6,7,8,9,10,65547,65549,65551,65553,131091,131095,131099,131103,196643,196651,196659,196667,262211,262227,262243,262259,327811,327843,327875,327907,258,258,258]),nr=new Int32Array([1,2,3,4,65541,65543,131081,131085,196625,196633,262177,262193,327745,327777,393345,393409,459009,459137,524801,525057,590849,591361,657409,658433,724993,727041,794625,7\ +98721,868353,876545]),sr=[new Int32Array([459008,524368,524304,524568,459024,524400,524336,590016,459016,524384,524320,589984,524288,524416,524352,590048,459012,524376,524312,589968,459028,524408,524344,590032,459020,524392,524328,59e4,524296,524424,524360,590064,459010,524372,524308,524572,459026,524404,524340,590024,459018,524388,524324,589992,524292,524420,524356,590056,459014,524380,524316,589976,459030,524412,524348,590040,459022,524396,524332,590008,524300,524428,524364,590072,459009,52437\ +0,524306,524570,459025,524402,524338,590020,459017,524386,524322,589988,524290,524418,524354,590052,459013,524378,524314,589972,459029,524410,524346,590036,459021,524394,524330,590004,524298,524426,524362,590068,459011,524374,524310,524574,459027,524406,524342,590028,459019,524390,524326,589996,524294,524422,524358,590060,459015,524382,524318,589980,459031,524414,524350,590044,459023,524398,524334,590012,524302,524430,524366,590076,459008,524369,524305,524569,459024,524401,524337,590018,459016,5\ +24385,524321,589986,524289,524417,524353,590050,459012,524377,524313,589970,459028,524409,524345,590034,459020,524393,524329,590002,524297,524425,524361,590066,459010,524373,524309,524573,459026,524405,524341,590026,459018,524389,524325,589994,524293,524421,524357,590058,459014,524381,524317,589978,459030,524413,524349,590042,459022,524397,524333,590010,524301,524429,524365,590074,459009,524371,524307,524571,459025,524403,524339,590022,459017,524387,524323,589990,524291,524419,524355,590054,4590\ +13,524379,524315,589974,459029,524411,524347,590038,459021,524395,524331,590006,524299,524427,524363,590070,459011,524375,524311,524575,459027,524407,524343,590030,459019,524391,524327,589998,524295,524423,524359,590062,459015,524383,524319,589982,459031,524415,524351,590046,459023,524399,524335,590014,524303,524431,524367,590078,459008,524368,524304,524568,459024,524400,524336,590017,459016,524384,524320,589985,524288,524416,524352,590049,459012,524376,524312,589969,459028,524408,524344,590033,\ +459020,524392,524328,590001,524296,524424,524360,590065,459010,524372,524308,524572,459026,524404,524340,590025,459018,524388,524324,589993,524292,524420,524356,590057,459014,524380,524316,589977,459030,524412,524348,590041,459022,524396,524332,590009,524300,524428,524364,590073,459009,524370,524306,524570,459025,524402,524338,590021,459017,524386,524322,589989,524290,524418,524354,590053,459013,524378,524314,589973,459029,524410,524346,590037,459021,524394,524330,590005,524298,524426,524362,590\ +069,459011,524374,524310,524574,459027,524406,524342,590029,459019,524390,524326,589997,524294,524422,524358,590061,459015,524382,524318,589981,459031,524414,524350,590045,459023,524398,524334,590013,524302,524430,524366,590077,459008,524369,524305,524569,459024,524401,524337,590019,459016,524385,524321,589987,524289,524417,524353,590051,459012,524377,524313,589971,459028,524409,524345,590035,459020,524393,524329,590003,524297,524425,524361,590067,459010,524373,524309,524573,459026,524405,524341\ +,590027,459018,524389,524325,589995,524293,524421,524357,590059,459014,524381,524317,589979,459030,524413,524349,590043,459022,524397,524333,590011,524301,524429,524365,590075,459009,524371,524307,524571,459025,524403,524339,590023,459017,524387,524323,589991,524291,524419,524355,590055,459013,524379,524315,589975,459029,524411,524347,590039,459021,524395,524331,590007,524299,524427,524363,590071,459011,524375,524311,524575,459027,524407,524343,590031,459019,524391,524327,589999,524295,524423,52\ +4359,590063,459015,524383,524319,589983,459031,524415,524351,590047,459023,524399,524335,590015,524303,524431,524367,590079]),9],or=[new Int32Array([327680,327696,327688,327704,327684,327700,327692,327708,327682,327698,327690,327706,327686,327702,327694,0,327681,327697,327689,327705,327685,327701,327693,327709,327683,327699,327691,327707,327687,327703,327695,0]),5];class FlateStream extends DecodeStream{constructor(e,t){super(t);this.str=e;this.dict=e.dict;const a=e.getByte(),r=e.getByte();if(-1\ +===a||-1===r)throw new FormatError(`Invalid header in flate stream: ${a}, ${r}`);if(8!=(15&a))throw new FormatError(`Unknown compression method in flate stream: ${a}, ${r}`);if(((a<<8)+r)%31!=0)throw new FormatError(`Bad FCHECK in flate stream: ${a}, ${r}`);if(32&r)throw new FormatError(`FDICT bit set in flate stream: ${a}, ${r}`);this.codeSize=0;this.codeBuf=0}async getImageData(e,t){const a=await this.asyncGetBytes();return a?a.length<=e?a:a.subarray(0,e):this.getBytes(e)}async asyncGetBytes()\ +{this.str.reset();const e=this.str.getBytes();try{const{readable:t,writable:a}=new DecompressionStream("deflate"),r=a.getWriter();await r.ready;r.write(e).then((async()=>{await r.ready;await r.close()})).catch((()=>{}));const i=[];let n=0;for await(const e of t){i.push(e);n+=e.byteLength}const s=new Uint8Array(n);let o=0;for(const e of i){s.set(e,o);o+=e.byteLength}return s}catch{this.str=new Stream(e,2,e.length,this.str.dict);this.reset();return null}}get isAsync(){return!0}getBits(e){const t=t\ +his.str;let a,r=this.codeSize,i=this.codeBuf;for(;r>e;this.codeSize=r-=e;return a}getCode(e){const t=this.str,a=e[0],r=e[1];let i,n=this.codeSize,s=this.codeBuf;for(;n>16,l=65535&o;if(c<1||n>c;this.codeSize=n-c;return l}generateHuffmanTab\ +le(e){const t=e.length;let a,r=0;for(a=0;ar&&(r=e[a]);const i=1<>=1}for(a=e;a>=1;if(0===t){let t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");ret\ +urn}let a=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}a|=t<<8;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let i=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}i|=t<<8;if(i!==(65535&~a)&&(0!==a||0!==i))throw new FormatError("Bad uncompressed block length in flate stream");this.codeBuf=0;this.codeSize=0;const n=this.bufferLength,s=n+a;e=this.ensureBuffer(s);this.bufferLength=s;if(0===a)-1===r.peekByte(\ +)&&(this.eof=!0);else{const t=r.getBytes(a);e.set(t,n);t.length0;)h[o++]=f}i=this.generateHuffmanTable(h.subarray(0,e));n=this.generateHuffmanTable(h.subarray(e,l))}}e=this.buffer;let s=e?e.length:0,o=this.bufferLength;for(;;){let t=this.getCode(i);if(t<256){if(o+1>=s){e=this.ensureBuffer(o+1);s=e.length}e[o++]=t;continue}if(256===t){this.bufferLength=o;return}t-=257;t=ir[t];let r=t>>16;r>0&&(r=this.getBits(r));a=(65535&t)+r;t=this.getCode(n);t=nr[t];r=t>>16;r>0&&(\ +r=this.getBits(r));const c=(65535&t)+r;if(o+a>=s){e=this.ensureBuffer(o+a);s=e.length}for(let t=0;t>9&127;this.clow=this.clow<<7&65535;this.ct-=7;this.a=32768}byteIn(){const e=this.data;let t=this.bp;if(255===e[t])if(e[t+1]>143){this.clow+=65280;this.ct=8}else{t++;this.clow+=e[t]<<9;this.ct=7;this.bp=t}else{t++;this.clow+=t65535){this.chigh+=this.clow>>16;this.clow&=65535}}readBit(e,t){let a=e[t]>>1,r=1&e[t];const i=cr[a\ +],n=i.qe;let s,o=this.a-n;if(this.chigh>15&1;this.clow=this.clow<<1&65535;this.ct--}while(!(32768&o));this.a=o;e[t]=a<<1|r;return s}}class Jbig2Error extends fa{constructor(e){super(e,"Jbig2Error")}}class ContextCache{getContexts(e)\ +{return e in this?this[e]:this[e]=new Int8Array(65536)}}class DecodingContext{constructor(e,t,a){this.data=e;this.start=t;this.end=a}get decoder(){return shadow(this,"decoder",new ArithmeticDecoder(this.data,this.start,this.end))}get contextCache(){return shadow(this,"contextCache",new ContextCache)}}function decodeInteger(e,t,a){const r=e.getContexts(t);let i=1;function readBits(e){let t=0;for(let n=0;n>>0}const n=\ +readBits(1),s=readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(32)+4436:readBits(12)+340:readBits(8)+84:readBits(6)+20:readBits(4)+4:readBits(2);let o;0===n?o=s:s>0&&(o=-s);return o>=-2147483648&&o<=va?o:null}function decodeIAID(e,t,a){const r=e.getContexts("IAID");let i=1;for(let e=0;ee.y-t.y||e.x-t.x));const h=l.length,u=new Int8Array(h),d=new Int8Array(h),f=[];let g,p,m=0,b=0,y=0,w=0;for(p=0;p=v&&E=F){q=q<<1&m;for(p=0;p=0&&j=0){_=D[L][j];_&&(q|=_<=e?l<<=1:l=l<<1|S[o][c]}for(f=0;f=w||c<0||c>=y?l<<=1:l=l<<1|r[o][c]}const g=k.readBit(C,l);t[s]=g}}return S}function decodeTextRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g,p,m,b,y){if(e&&t)throw new Jbig2Error("refinement with Huffman is not supported");const w=[];let x,S;for(x=0;x1&&(i=e?y.readBits(b):decodeInteger(C,"IAIT",k));const n=s*v+i,F=e?f.symbolIDTable.decode(y):decodeIAID(C,k,c),T=t&&(e?y.readBit():decodeInteger(C,"IARI",k));let O=o[F],M=O[0].length,D=O.length;if(T){const e=decodeInteger(C,"IARDW",k),t=decodeInteger(C,\ +"IARDH",k);M+=e;D+=t;O=decodeRefinement(M,D,g,O,(e>>1)+decodeInteger(C,"IARDX",k),(t>>1)+decodeInteger(C,"IARDY",k),!1,p,m)}let R=0;l?1&u?R=D-1:r+=D-1:u>1?r+=M-1:R=M-1;const N=n-(1&u?0:D-1),E=r-(2&u?M-1:0);let L,j,_;if(l)for(L=0;L>5&7;c\ +onst c=[31&s];let l=t+6;if(7===s){o=536870911&readUint32(e,l-1);l+=3;let t=o+7>>3;c[0]=e[l++];for(;--t>0;)c.push(e[l++])}else if(5===s||6===s)throw new Jbig2Error("invalid referred-to flags");a.retainBits=c;let h=4;a.number<=256?h=1:a.number<=65536&&(h=2);const u=[];let d,f;for(d=0;d>>24&255;n[3]=t.height>>16&255;n[4]=t.height>>8&255;n[5]=255&t.height;for(d=l,f=e.length;d>2&3;e.huffmanDWSelector=t>>4&3;e.bitmapSizeSelector=t>>6&1;e.aggregationInstancesSelector=t>>7&1;e.bitmapCodingContextUsed=!!(256&t);e.bitmapCodingContextRetained=!!(512&t);e.template=t>>10&3;e.refinementTemplate=t>>12&1;l+=2;if(!e.huffman){c=0===e.template?4:1;s=[];for(o=0;o>2&3;h.stripSize=1<>4&3;h.transposed=!!(64&u);h.comb\ +inationOperator=u>>7&3;h.defaultPixelValue=u>>9&1;h.dsOffset=u<<17>>27;h.refinementTemplate=u>>15&1;if(h.huffman){const e=readUint16(r,l);l+=2;h.huffmanFS=3&e;h.huffmanDS=e>>2&3;h.huffmanDT=e>>4&3;h.huffmanRefinementDW=e>>6&3;h.huffmanRefinementDH=e>>8&3;h.huffmanRefinementDX=e>>10&3;h.huffmanRefinementDY=e>>12&3;h.huffmanRefinementSizeSelector=!!(16384&e)}if(h.refinement&&!h.refinementTemplate){s=[];for(o=0;o<2;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}h.refinementAt=s}h.numberOfSym\ +bolInstances=readUint32(r,l);l+=4;n=[h,a.referredTo,r,l,i];break;case 16:const d={},f=r[l++];d.mmr=!!(1&f);d.template=f>>1&3;d.patternWidth=r[l++];d.patternHeight=r[l++];d.maxPatternIndex=readUint32(r,l);l+=4;n=[d,a.number,r,l,i];break;case 22:case 23:const g={};g.info=readRegionSegmentInformation(r,l);l+=gr;const p=r[l++];g.mmr=!!(1&p);g.template=p>>1&3;g.enableSkip=!!(8&p);g.combinationOperator=p>>4&7;g.defaultPixelValue=p>>7&1;g.gridWidth=readUint32(r,l);l+=4;g.gridHeight=readUint32(r,l);l+=4\ +;g.gridOffsetX=4294967295&readUint32(r,l);l+=4;g.gridOffsetY=4294967295&readUint32(r,l);l+=4;g.gridVectorX=readUint16(r,l);l+=2;g.gridVectorY=readUint16(r,l);l+=2;n=[g,a.referredTo,r,l,i];break;case 38:case 39:const m={};m.info=readRegionSegmentInformation(r,l);l+=gr;const b=r[l++];m.mmr=!!(1&b);m.template=b>>1&3;m.prediction=!!(8&b);if(!m.mmr){c=0===m.template?4:1;s=[];for(o=0;o>2&1;y.combinationOperator=w>>3&3;y.requiresBuffer=!!(32&w);y.combinationOperatorOverride=!!(64&w);n=[y];break;case 49:case 50:case 51:case 62:break;case 53:n=[a.number,r,l,i];break;default:throw new Jbig2Error(`segment type ${a.typeName}(${a.type}) is not implemented`)}con\ +st h="on"+a.typeName;h in t&&t[h].apply(t,n)}function processSegments(e,t){for(let a=0,r=e.length;a>3,a=new Uint8ClampedArray(t*e.height);e.defaultPixelValue&&a.fill(255);this.buffer=a}drawBitmap(e,t){const a=this.currentPageInfo,r=e.width,i=e.height,n=a.width+7>>3,s=a.combinationOperatorOverride?e.combinationOperator:a.combinationOperator,o=this.buffer,c=128>>(7&e.x);let l,h,u,\ +d,f=e.y*n+(e.x>>3);switch(s){case 0:for(l=0;l>=1;if(!u){u=128;d++}}f+=n}break;case 2:for(l=0;l>=1;if(!u){u=128;d++}}f+=n}break;default:throw new Jbig2Error(`operator ${s} is not supported`)}}onImmediateGenericRegion(e,t,a,r){const i=e.info,n=new DecodingContext(t,a,r),s=decodeBitmap(e.mmr,i.width,i.height,e.template,e.prediction,null,e.at,n);this.drawBitmap(i,s)}onImmediateLosslessGenericR\ +egion(){this.onImmediateGenericRegion(...arguments)}onSymbolDictionary(e,t,a,r,i,n){let s,o;if(e.huffman){s=function getSymbolDictionaryHuffmanTables(e,t,a){let r,i,n,s,o=0;switch(e.huffmanDHSelector){case 0:case 1:r=getStandardTable(e.huffmanDHSelector+4);break;case 3:r=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DH selector")}switch(e.huffmanDWSelector){case 0:case 1:i=getStandardTable(e.huffmanDWSelector+2);break;case 3:i=getCustomHuffmanTable(o,t,a);o\ +++;break;default:throw new Jbig2Error("invalid Huffman DW selector")}if(e.bitmapSizeSelector){n=getCustomHuffmanTable(o,t,a);o++}else n=getStandardTable(1);s=e.aggregationInstancesSelector?getCustomHuffmanTable(o,t,a):getStandardTable(1);return{tableDeltaHeight:r,tableDeltaWidth:i,tableBitmapSize:n,tableAggregateInstances:s}}(e,a,this.customTables);o=new Reader(r,i,n)}let c=this.symbols;c||(this.symbols=c={});const l=[];for(const e of a){const t=c[e];t&&l.push(...t)}const h=new DecodingContext(r\ +,i,n);c[t]=function decodeSymbolDictionary(e,t,a,r,i,n,s,o,c,l,h,u){if(e&&t)throw new Jbig2Error("symbol refinement with Huffman is not supported");const d=[];let f=0,g=log2(a.length+r);const p=h.decoder,m=h.contextCache;let b,y;if(e){b=getStandardTable(1);y=[];g=Math.max(g,1)}for(;d.length1)w=decodeTextRegion(e,t,r,f,0,i,1,a.concat(d),g,0,0,1,0,n,c,l,h,0,u);else{const e=decodeIAID(m,p,g),t=decodeInteger(m,"IARDX",p),i=decodeInteger(m,"IARDY",p);w=decodeRefinement(r,f,c,e=32){let a,r,s;swit\ +ch(t){case 32:if(0===e)throw new Jbig2Error("no previous value in symbol ID table");r=i.readBits(2)+3;a=n[e-1].prefixLength;break;case 33:r=i.readBits(3)+3;a=0;break;case 34:r=i.readBits(7)+11;a=0;break;default:throw new Jbig2Error("invalid code length in symbol ID table")}for(s=0;s=0;m--){O=e?decodeMMRBitmap(T,c,l,!0):decodeBitmap(!1,c,l,a,!1,null,v,g);F[m]=O}for(M=0;M=0;b--){R^=F[b][M][D];N|=R<>8;j=u+M*d-D*f>>8;if(L>=0&&L+S<=r&&j>=0&&j+k<=i)for(m=0;m=i)){U=p[\ +t];_=E[m];for(b=0;b=0&&e>1&7),c=1+(r>>4&7),l=[];let h,u,d=i;do{h=s.readBits(o);u=s.readBits(c);l.push(new HuffmanLine([d,h,u,0]));d+=1<>t&1;if(t<=0)this.children[a]=new HuffmanTreeNode(e);else{let \ +r=this.children[a];r||(this.children[a]=r=new HuffmanTreeNode(null));r.buildTree(e,t-1)}}decodeNode(e){if(this.isLeaf){if(this.isOOB)return null;const t=e.readBits(this.rangeLength);return this.rangeLow+(this.isLowerRange?-t:t)}const t=this.children[e.readBit()];if(!t)throw new Jbig2Error("invalid Huffman data");return t.decodeNode(e)}}class HuffmanTable{constructor(e,t){t||this.assignPrefixCodes(e);this.rootNode=new HuffmanTreeNode(null);for(let t=0,a=e.length;t0&&this.rootNode.buildTree(a,a.prefixLength-1)}}decode(e){return this.rootNode.decodeNode(e)}assignPrefixCodes(e){const t=e.length;let a=0;for(let r=0;r=this.end)throw new Jbig2Error("end of data while reading bit");this.currentByte=this.data[this.position++];this.shift=7}const e\ +=this.currentByte>>this.shift&1;this.shift--;return e}readBits(e){let t,a=0;for(t=e-1;t>=0;t--)a|=this.readBit()<=this.end?-1:this.data[this.position++]}}function getCustomHuffmanTable(e,t,a){let r=0;for(let i=0,n=t.length;i>a&1;a--}}if(r&&!o){const e=5;for(let t=0;t>>t&(1<0;if(e<256){d[0]=e;f=1}else{if(!(e>=258)){if(256===e){h=9;s=258;f=0;continue}this.eof=!0;delete this.lzwState;break}if(e=0;t--){d[t]=o[a];a=l[a]}}else d[f++]=d[0]}if(i){l[s]=u;c[s]=c[u]+1;o[s]=d[0];s++;h=s+n&s+n-1?h:0|Math.min(Math.log(s+n)/.6931471805599453+1,12)}u=e;g+=f;if(r15))throw new FormatError(`Unsupported predictor: ${r}`);this.readBlock=2===r?this.readBlockTiff:this.readBlockPng;this.str=e;this.dict=e.dict;const i=this.colors=a.get("Colors")||1,n=this.bits=a.get("BPC","BitsPerComponent")||8,s=this.columns=a.get("Columns")||1;this.pixBytes=i*n+7>>3;this.row\ +Bytes=s*i*n+7>>3;return this}readBlockTiff(){const e=this.rowBytes,t=this.bufferLength,a=this.ensureBuffer(t+e),r=this.bits,i=this.colors,n=this.str.getBytes(e);this.eof=!n.length;if(this.eof)return;let s,o=0,c=0,l=0,h=0,u=t;if(1===r&&1===i)for(s=0;s>1;e^=e>>2;e^=e>>4;o=(1&e)<<7;a[u++]=e}else if(8===r){for(s=0;s>8&255;a[u++]=255&e}}else{const e=new Uint8Array(i+1),u=(1<>l-r)&u;l-=r;c=c<=8){a[f++]=c>>h-8&255;h-=8}}h>0&&(a[f++]=(c<<8-h)+(o&(1<<8-h)-1))}this.bufferLength+=e}readBlockPng(){const e=this.rowBytes,t=this.pixBytes,a=this.str.getByte(),r=this.str.getBytes(e);this.eof=!r.length;if(this.eof)return;const i=this.bufferL\ +ength,n=this.ensureBuffer(i+e);let s=n.subarray(i-e,i);0===s.length&&(s=new Uint8Array(e));let o,c,l,h=i;switch(a){case 0:for(o=0;o>1)+r[o];for(;o>1)+r[o]&255;h++}break;case 4:for(o=0;o0){const e=this.str.getBytes(r);t.set(e,\ +a);a+=r}}else{r=257-r;t=this.ensureBuffer(a+r+1);t.fill(e[1],a,a+r);a+=r}this.bufferLength=a}}class Parser{constructor({lexer:e,xref:t,allowStreams:a=!1,recoveryMode:r=!1}){this.lexer=e;this.xref=t;this.allowStreams=a;this.recoveryMode=r;this.imageCache=Object.create(null);this._imageId=0;this.refill()}refill(){this.buf1=this.lexer.getObj();this.buf2=this.lexer.getObj()}shift(){if(this.buf2 instanceof Cmd&&"ID"===this.buf2.cmd){this.buf1=this.buf2;this.buf2=null}else{this.buf1=this.buf2;this.buf\ +2=this.lexer.getObj()}}tryShift(){try{this.shift();return!0}catch(e){if(e instanceof MissingDataException)throw e;return!1}}getObj(e=null){const t=this.buf1;this.shift();if(t instanceof Cmd)switch(t.cmd){case"BI":return this.makeInlineImage(e);case"[":const a=[];for(;!isCmd(this.buf1,"]")&&this.buf1!==wa;)a.push(this.getObj(e));if(this.buf1===wa){if(this.recoveryMode)return a;throw new ParserEOFException("End of file inside array.")}this.shift();return a;case"<<":const r=new Dict(this.xref);for(\ +;!isCmd(this.buf1,">>")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name)){info("Malformed dictionary: key must be a name object");this.shift();continue}const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r.set(t,this.getObj(e))}if(this.buf1===wa){if(this.recoveryMode)return r;throw new ParserEOFException("End of file inside dictionary.")}if(isCmd(this.buf2,"stream"))return this.allowStreams?this.makeStream(r,e):r;this.shift();return r;default:return t}if(Number.isInteger(t)){if(Number.i\ +sInteger(this.buf1)&&isCmd(this.buf2,"R")){const e=Ref.get(t,this.buf1);this.shift();this.shift();return e}return t}return"string"==typeof t&&e?e.decryptString(t):t}findDefaultInlineStreamEnd(e){const{knownCommands:t}=this.lexer,a=e.pos;let r,i,n=0;for(;-1!==(r=e.getByte());)if(0===n)n=69===r?1:0;else if(1===n)n=73===r?2:0;else if(32===r||10===r||13===r){i=e.pos;const a=e.peekBytes(15),s=a.length;if(0===s)break;for(let e=0;e127))){\ +n=0;break}}if(2!==n)continue;if(!t){warn("findDefaultInlineStreamEnd - `lexer.knownCommands` is undefined.");continue}const o=new Lexer(new Stream(e.peekBytes(75)),t);o._hexStringWarn=()=>{};let c=0;for(;;){const e=o.getObj();if(e===wa){n=0;break}if(e instanceof Cmd){const a=t[e.cmd];if(!a){n=0;break}if(a.variableArgs?c<=a.numArgs:c===a.numArgs)break;c=0}else c++}if(2===n)break}else n=0;if(-1===r){warn("findDefaultInlineStreamEnd: Reached the end of the stream without finding a valid EI marker")\ +;if(i){warn(\'... trying to recover by using the last "EI" occurrence.\');e.skip(-(e.pos-i))}}let s=4;e.skip(-s);r=e.peekByte();e.skip(s);isWhiteSpace(r)||s--;return e.pos-s-a}findDCTDecodeInlineStreamEnd(e){const t=e.pos;let a,r,i=!1;for(;-1!==(a=e.getByte());)if(255===a){switch(e.getByte()){case 0:break;case 255:e.skip(-1);break;case 217:i=!0;break;case 192:case 193:case 194:case 195:case 197:case 198:case 199:case 201:case 202:case 203:case 205:case 206:case 207:case 196:case 204:case 218:case \ +219:case 220:case 221:case 222:case 223:case 224:case 225:case 226:case 227:case 228:case 229:case 230:case 231:case 232:case 233:case 234:case 235:case 236:case 237:case 238:case 239:case 254:r=e.getUint16();r>2?e.skip(r-2):e.skip(-2)}if(i)break}const n=e.pos-t;if(-1===a){warn("Inline DCTDecode image stream: EOI marker not found, searching for /EI/ instead.");e.skip(-n);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return n}findASCII85DecodeInlineStreamEnd(e){const t=e.po\ +s;let a;for(;-1!==(a=e.getByte());)if(126===a){const t=e.pos;a=e.peekByte();for(;isWhiteSpace(a);){e.skip();a=e.peekByte()}if(62===a){e.skip();break}if(e.pos>t){const t=e.peekBytes(2);if(69===t[0]&&73===t[1])break}}const r=e.pos-t;if(-1===a){warn("Inline ASCII85Decode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}findASCIIHexDecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getB\ +yte())&&62!==a;);const r=e.pos-t;if(-1===a){warn("Inline ASCIIHexDecode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}inlineStreamSkipEI(e){let t,a=0;for(;-1!==(t=e.getByte());)if(0===a)a=69===t?1:0;else if(1===a)a=73===t?2:0;else if(2===a)break}makeInlineImage(e){const t=this.lexer,a=t.stream,r=Object.create(null);let i;for(;!isCmd(this.buf1,"ID")&&this.buf1!==wa;){if(!(this.buf1 instanc\ +eof Name))throw new FormatError("Dictionary key must be a name object");const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r[t]=this.getObj(e)}-1!==t.beginInlineImagePos&&(i=a.pos-t.beginInlineImagePos);const n=this.xref.fetchIfRef(r.F||r.Filter);let s;if(n instanceof Name)s=n.name;else if(Array.isArray(n)){const e=this.xref.fetchIfRef(n[0]);e instanceof Name&&(s=e.name)}const o=a.pos;let c,l;switch(s){case"DCT":case"DCTDecode":c=this.findDCTDecodeInlineStreamEnd(a);break;case"A85":case\ +"ASCII85Decode":c=this.findASCII85DecodeInlineStreamEnd(a);break;case"AHx":case"ASCIIHexDecode":c=this.findASCIIHexDecodeInlineStreamEnd(a);break;default:c=this.findDefaultInlineStreamEnd(a)}if(c<1e3&&i>0){const e=a.pos;a.pos=t.beginInlineImagePos;l=function getInlineImageCacheKey(e){const t=[],a=e.length;let r=0;for(;r=r){let r=!1;for(const e of i){const t=e.length;let i=0;for(;i=n){r=!0;break}if(i>=t){if(isWhiteSpace(s[c+o+i])){info(`Found "${bytesToString([...a,...e])}" when searching for endstream command.`);r=!0}break}}if(r){t.pos+=c;return t.pos-e}}c++}t.pos+=o}return-1}makeStream(e,t){const a=this.lexer;let r=a.stream\ +;a.skipToNextLine();const i=r.pos-1;let n=e.get("Length");if(!Number.isInteger(n)){info(`Bad length "${n&&n.toString()}" in stream.`);n=0}r.pos=i+n;a.nextChar();if(this.tryShift()&&isCmd(this.buf2,"endstream"))this.shift();else{n=this.#q(i);if(n<0)throw new FormatError("Missing endstream command.");a.nextChar();this.shift();this.shift()}this.shift();r=r.makeSubStream(i,n,e);t&&(r=t.createStream(r,n));r=this.filter(r,e,n);r.dict=e;return r}filter(e,t,a){let r=t.get("F","Filter"),i=t.get("DP","Dec\ +odeParms");if(r instanceof Name){Array.isArray(i)&&warn("/DecodeParms should not be an Array, when /Filter is a Name.");return this.makeFilter(e,r.name,a,i)}let n=a;if(Array.isArray(r)){const t=r,a=i;for(let s=0,o=t.length;s=48&&e<=57?15&e:e>=65&&e<=70||e>=97&&e<=102?9+(15&e):-1}class Lexer{c\ +onstructor(e,t=null){this.stream=e;this.nextChar();this.strBuf=[];this.knownCommands=t;this._hexStringNumWarn=0;this.beginInlineImagePos=-1}nextChar(){return this.currentChar=this.stream.getByte()}peekChar(){return this.stream.peekByte()}getNumber(){let e=this.currentChar,t=!1,a=0,r=1;if(45===e){r=-1;e=this.nextChar();45===e&&(e=this.nextChar())}else 43===e&&(e=this.nextChar());if(10===e||13===e)do{e=this.nextChar()}while(10===e||13===e);if(46===e){a=10;e=this.nextChar()}if(e<48||e>57){const t=`\ +Invalid number: ${String.fromCharCode(e)} (charCode ${e})`;if(isWhiteSpace(e)||40===e||60===e||-1===e){info(`Lexer.getNumber - "${t}".`);return 0}throw new FormatError(t)}let i=e-48,n=0,s=1;for(;(e=this.nextChar())>=0;)if(e>=48&&e<=57){const r=e-48;if(t)n=10*n+r;else{0!==a&&(a*=10);i=10*i+r}}else if(46===e){if(0!==a)break;a=1}else if(45===e)warn("Badly formatted number: minus sign in the middle");else{if(69!==e&&101!==e)break;e=this.peekChar();if(43===e||45===e){s=45===e?-1:1;this.nextChar()}els\ +e if(e<48||e>57)break;t=!0}0!==a&&(i/=a);t&&(i*=10**(s*n));return r*i}getString(){let e=1,t=!1;const a=this.strBuf;a.length=0;let r=this.nextChar();for(;;){let i=!1;switch(0|r){case-1:warn("Unterminated string");t=!0;break;case 40:++e;a.push("(");break;case 41:if(0==--e){this.nextChar();t=!0}else a.push(")");break;case 92:r=this.nextChar();switch(r){case-1:warn("Unterminated string");t=!0;break;case 110:a.push("\\n");break;case 114:a.push("\\r");break;case 116:a.push("\\t");break;case 98:a.push("\\b\ +");break;case 102:a.push("\\f");break;case 92:case 40:case 41:a.push(String.fromCharCode(r));break;case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:let e=15&r;r=this.nextChar();i=!0;if(r>=48&&r<=55){e=(e<<3)+(15&r);r=this.nextChar();if(r>=48&&r<=55){i=!1;e=(e<<3)+(15&r)}}a.push(String.fromCharCode(e));break;case 13:10===this.peekChar()&&this.nextChar();break;case 10:break;default:a.push(String.fromCharCode(r))}break;default:a.push(String.fromCharCode(r))}if(t)break;i||(r=this.nextC\ +har())}return a.join("")}getName(){let e,t;const a=this.strBuf;a.length=0;for(;(e=this.nextChar())>=0&&!mr[e];)if(35===e){e=this.nextChar();if(mr[e]){warn("Lexer_getName: NUMBER SIGN (#) should be followed by a hexadecimal number.");a.push("#");break}const r=toHexDigit(e);if(-1!==r){t=e;e=this.nextChar();const i=toHexDigit(e);if(-1===i){warn(`Lexer_getName: Illegal digit (${String.fromCharCode(e)}) in hexadecimal number.`);a.push("#",String.fromCharCode(t));if(mr[e])break;a.push(String.fromCharC\ +ode(e));continue}a.push(String.fromCharCode(r<<4|i))}else a.push("#",String.fromCharCode(e))}else a.push(String.fromCharCode(e));a.length>127&&warn(`Name token is longer than allowed by the spec: ${a.length}`);return Name.get(a.join(""))}_hexStringWarn(e){5!=this._hexStringNumWarn++?this._hexStringNumWarn>5||warn(`getHexString - ignoring invalid character: ${e}`):warn("getHexString - ignoring additional invalid characters.")}getHexString(){const e=this.strBuf;e.length=0;let t=this.currentChar,a=\ +-1,r=-1;this._hexStringNumWarn=0;for(;;){if(t<0){warn("Unterminated hex string");break}if(62===t){this.nextChar();break}if(1!==mr[t]){r=toHexDigit(t);if(-1===r)this._hexStringWarn(t);else if(-1===a)a=r;else{e.push(String.fromCharCode(a<<4|r));a=-1}t=this.nextChar()}else t=this.nextChar()}-1!==a&&e.push(String.fromCharCode(a<<4));return e.join("")}getObj(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(1!==mr[t])break;t=this.nextChar()\ +}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return this.getNumber();case 40:return this.getString();case 47:return this.getName();case 91:this.nextChar();return Cmd.get("[");case 93:this.nextChar();return Cmd.get("]");case 60:t=this.nextChar();if(60===t){this.nextChar();return Cmd.get("<<")}return this.getHexString();case 62:t=this.nextChar();if(62===t){this.nextChar();return Cmd.get(">>")}return Cmd.get(">");case 123:this.\ +nextChar();return Cmd.get("{");case 125:this.nextChar();return Cmd.get("}");case 41:this.nextChar();throw new FormatError(`Illegal character: ${t}`)}let a=String.fromCharCode(t);if(t<32||t>127){const e=this.peekChar();if(e>=32&&e<=127){this.nextChar();return Cmd.get(a)}}const r=this.knownCommands;let i=void 0!==r?.[a];for(;(t=this.nextChar())>=0&&!mr[t];){const e=a+String.fromCharCode(t);if(i&&void 0===r[e])break;if(128===a.length)throw new FormatError(`Command token too long: ${a.length}`);a=e;\ +i=void 0!==r?.[a]}if("true"===a)return!0;if("false"===a)return!1;if("null"===a)return null;"BI"===a&&(this.beginInlineImagePos=this.stream.pos);return Cmd.get(a)}skipToNextLine(){let e=this.currentChar;for(;e>=0;){if(13===e){e=this.nextChar();10===e&&this.nextChar();break}if(10===e){this.nextChar();break}e=this.nextChar()}}}class Linearization{static create(e){function getInt(e,t,a=!1){const r=e.get(t);if(Number.isInteger(r)&&(a?r>=0:r>0))return r;throw new Error(`The "${t}" parameter in the lin\ +earization dictionary is invalid.`)}const t=new Parser({lexer:new Lexer(e),xref:null}),a=t.getObj(),r=t.getObj(),i=t.getObj(),n=t.getObj();let s,o;if(!(Number.isInteger(a)&&Number.isInteger(r)&&isCmd(i,"obj")&&n instanceof Dict&&"number"==typeof(s=n.get("Linearized"))&&s>0))return null;if((o=getInt(n,"L"))!==e.length)throw new Error(\'The "L" parameter in the linearization dictionary does not equal the stream length.\');return{length:o,hints:function getHints(e){const t=e.get("H");let a;if(Array.i\ +sArray(t)&&(2===(a=t.length)||4===a)){for(let e=0;e0))throw new Error(`Hint (${e}) in the linearization dictionary is invalid.`)}return t}throw new Error("Hint array in the linearization dictionary is invalid.")}(n),objectNumberFirst:getInt(n,"O"),endFirst:getInt(n,"E"),numPages:getInt(n,"N"),mainXRefEntriesOffset:getInt(n,"T"),pageFirst:n.has("P")?getInt(n,"P",!0):0}}}const br=["Adobe-GB1-UCS2","Adobe-CNS1-UCS2","Adobe-Japan1-UCS2","Adobe-Korea1-\ +UCS2","78-EUC-H","78-EUC-V","78-H","78-RKSJ-H","78-RKSJ-V","78-V","78ms-RKSJ-H","78ms-RKSJ-V","83pv-RKSJ-H","90ms-RKSJ-H","90ms-RKSJ-V","90msp-RKSJ-H","90msp-RKSJ-V","90pv-RKSJ-H","90pv-RKSJ-V","Add-H","Add-RKSJ-H","Add-RKSJ-V","Add-V","Adobe-CNS1-0","Adobe-CNS1-1","Adobe-CNS1-2","Adobe-CNS1-3","Adobe-CNS1-4","Adobe-CNS1-5","Adobe-CNS1-6","Adobe-GB1-0","Adobe-GB1-1","Adobe-GB1-2","Adobe-GB1-3","Adobe-GB1-4","Adobe-GB1-5","Adobe-Japan1-0","Adobe-Japan1-1","Adobe-Japan1-2","Adobe-Japan1-3","Adobe-\ 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+","UniCNS-UTF32-V","UniCNS-UTF8-H","UniCNS-UTF8-V","UniGB-UCS2-H","UniGB-UCS2-V","UniGB-UTF16-H","UniGB-UTF16-V","UniGB-UTF32-H","UniGB-UTF32-V","UniGB-UTF8-H","UniGB-UTF8-V","UniJIS-UCS2-H","UniJIS-UCS2-HW-H","UniJIS-UCS2-HW-V","UniJIS-UCS2-V","UniJIS-UTF16-H","UniJIS-UTF16-V","UniJIS-UTF32-H","UniJIS-UTF32-V","UniJIS-UTF8-H","UniJIS-UTF8-V","UniJIS2004-UTF16-H","UniJIS2004-UTF16-V","UniJIS2004-UTF32-H","UniJIS2004-UTF32-V","UniJIS2004-UTF8-H","UniJIS2004-UTF8-V","UniJISPro-UCS2-HW-V","UniJISPr\ +o-UCS2-V","UniJISPro-UTF8-V","UniJISX0213-UTF32-H","UniJISX0213-UTF32-V","UniJISX02132004-UTF32-H","UniJISX02132004-UTF32-V","UniKS-UCS2-H","UniKS-UCS2-V","UniKS-UTF16-H","UniKS-UTF16-V","UniKS-UTF32-H","UniKS-UTF32-V","UniKS-UTF8-H","UniKS-UTF8-V","V","WP-Symbol"],yr=2**24-1;class 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a=0,r=t.length;a=i&&e<=n)return a+1}}return 1}get length(){return this._map.length}get isIdentityCMap(){if("\ +Identity-H"!==this.name&&"Identity-V"!==this.name)return!1;if(65536!==this._map.length)return!1;for(let e=0;e<65536;e++)if(this._map[e]!==e)return!1;return!0}}class IdentityCMap extends CMap{constructor(e,t){super();this.vertical=e;this.addCodespaceRange(t,0,65535)}mapCidRange(e,t,a){unreachable("should not call mapCidRange")}mapBfRange(e,t,a){unreachable("should not call mapBfRange")}mapBfRangeToArray(e,t,a){unreachable("should not call mapBfRangeToArray")}mapOne(e,t){unreachable("should not ca\ +ll mapCidOne")}lookup(e){return Number.isInteger(e)&&e<=65535?e:void 0}contains(e){return Number.isInteger(e)&&e<=65535}forEach(e){for(let t=0;t<=65535;t++)e(t,t)}charCodeOf(e){return Number.isInteger(e)&&e<=65535?e:-1}getMap(){const e=new Array(65536);for(let t=0;t<=65535;t++)e[t]=t;return e}get length(){return 65536}get isIdentityCMap(){unreachable("should not access .isIdentityCMap")}}function strToInt(e){let t=0;for(let a=0;a>>0}function expectSt\ +ring(e){if("string"!=typeof e)throw new FormatError("Malformed CMap: expected string.")}function expectInt(e){if(!Number.isInteger(e))throw new FormatError("Malformed CMap: expected int.")}function parseBfChar(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endbfchar"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=a;e.mapOne(r,i)}}function parseBfRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endbfrange"))return;expectString(a);const r\ +=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();if(Number.isInteger(a)||"string"==typeof a){const t=Number.isInteger(a)?String.fromCharCode(a):a;e.mapBfRange(r,i,t)}else{if(!isCmd(a,"["))break;{a=t.getObj();const n=[];for(;!isCmd(a,"]")&&a!==wa;){n.push(a);a=t.getObj()}e.mapBfRangeToArray(r,i,n)}}}throw new FormatError("Invalid bf range.")}function parseCidChar(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcidchar"))return;expectString(a);const r=strToIn\ +t(a);a=t.getObj();expectInt(a);const i=a;e.mapOne(r,i)}}function parseCidRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcidrange"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();expectInt(a);const n=a;e.mapCidRange(r,i,n)}}function parseCodespaceRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcodespacerange"))return;if("string"!=typeof a)break;const r=strToInt(a);a=t.getObj();if("string"!=typeof a)br\ +eak;const i=strToInt(a);e.addCodespaceRange(a.length,r,i)}throw new FormatError("Invalid codespace range.")}function parseWMode(e,t){const a=t.getObj();Number.isInteger(a)&&(e.vertical=!!a)}function parseCMapName(e,t){const a=t.getObj();a instanceof Name&&(e.name=a.name)}async function parseCMap(e,t,a,r){let i,n;e:for(;;)try{const a=t.getObj();if(a===wa)break;if(a instanceof 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+ll=63344;e.Q=81;e.Qcircle=9414;e.Qmonospace=65329;e.Qsmall=63345;e.R=82;e.Raarmenian=1356;e.Racute=340;e.Rcaron=344;e.Rcedilla=342;e.Rcircle=9415;e.Rcommaaccent=342;e.Rdblgrave=528;e.Rdotaccent=7768;e.Rdotbelow=7770;e.Rdotbelowmacron=7772;e.Reharmenian=1360;e.Rfraktur=8476;e.Rho=929;e.Ringsmall=63228;e.Rinvertedbreve=530;e.Rlinebelow=7774;e.Rmonospace=65330;e.Rsmall=63346;e.Rsmallinverted=641;e.Rsmallinvertedsuperior=694;e.S=83;e.SF010000=9484;e.SF020000=9492;e.SF030000=9488;e.SF040000=9496;e.SF\ +050000=9532;e.SF060000=9516;e.SF070000=9524;e.SF080000=9500;e.SF090000=9508;e.SF100000=9472;e.SF110000=9474;e.SF190000=9569;e.SF200000=9570;e.SF210000=9558;e.SF220000=9557;e.SF230000=9571;e.SF240000=9553;e.SF250000=9559;e.SF260000=9565;e.SF270000=9564;e.SF280000=9563;e.SF360000=9566;e.SF370000=9567;e.SF380000=9562;e.SF390000=9556;e.SF400000=9577;e.SF410000=9574;e.SF420000=9568;e.SF430000=9552;e.SF440000=9580;e.SF450000=9575;e.SF460000=9576;e.SF470000=9572;e.SF480000=9573;e.SF490000=9561;e.SF5000\ +00=9560;e.SF510000=9554;e.SF520000=9555;e.SF530000=9579;e.SF540000=9578;e.Sacute=346;e.Sacutedotaccent=7780;e.Sampigreek=992;e.Scaron=352;e.Scarondotaccent=7782;e.Scaronsmall=63229;e.Scedilla=350;e.Schwa=399;e.Schwacyrillic=1240;e.Schwadieresiscyrillic=1242;e.Scircle=9416;e.Scircumflex=348;e.Scommaaccent=536;e.Sdotaccent=7776;e.Sdotbelow=7778;e.Sdotbelowdotaccent=7784;e.Seharmenian=1357;e.Sevenroman=8550;e.Shaarmenian=1351;e.Shacyrillic=1064;e.Shchacyrillic=1065;e.Sheicoptic=994;e.Shhacyrillic=1\ +210;e.Shimacoptic=1004;e.Sigma=931;e.Sixroman=8549;e.Smonospace=65331;e.Softsigncyrillic=1068;e.Ssmall=63347;e.Stigmagreek=986;e.T=84;e.Tau=932;e.Tbar=358;e.Tcaron=356;e.Tcedilla=354;e.Tcircle=9417;e.Tcircumflexbelow=7792;e.Tcommaaccent=354;e.Tdotaccent=7786;e.Tdotbelow=7788;e.Tecyrillic=1058;e.Tedescendercyrillic=1196;e.Tenroman=8553;e.Tetsecyrillic=1204;e.Theta=920;e.Thook=428;e.Thorn=222;e.Thornsmall=63486;e.Threeroman=8546;e.Tildesmall=63230;e.Tiwnarmenian=1359;e.Tlinebelow=7790;e.Tmonospace\ +=65332;e.Toarmenian=1337;e.Tonefive=444;e.Tonesix=388;e.Tonetwo=423;e.Tretroflexhook=430;e.Tsecyrillic=1062;e.Tshecyrillic=1035;e.Tsmall=63348;e.Twelveroman=8555;e.Tworoman=8545;e.U=85;e.Uacute=218;e.Uacutesmall=63482;e.Ubreve=364;e.Ucaron=467;e.Ucircle=9418;e.Ucircumflex=219;e.Ucircumflexbelow=7798;e.Ucircumflexsmall=63483;e.Ucyrillic=1059;e.Udblacute=368;e.Udblgrave=532;e.Udieresis=220;e.Udieresisacute=471;e.Udieresisbelow=7794;e.Udieresiscaron=473;e.Udieresiscyrillic=1264;e.Udieresisgrave=475\ +;e.Udieresismacron=469;e.Udieresissmall=63484;e.Udotbelow=7908;e.Ugrave=217;e.Ugravesmall=63481;e.Uhookabove=7910;e.Uhorn=431;e.Uhornacute=7912;e.Uhorndotbelow=7920;e.Uhorngrave=7914;e.Uhornhookabove=7916;e.Uhorntilde=7918;e.Uhungarumlaut=368;e.Uhungarumlautcyrillic=1266;e.Uinvertedbreve=534;e.Ukcyrillic=1144;e.Umacron=362;e.Umacroncyrillic=1262;e.Umacrondieresis=7802;e.Umonospace=65333;e.Uogonek=370;e.Upsilon=933;e.Upsilon1=978;e.Upsilonacutehooksymbolgreek=979;e.Upsilonafrican=433;e.Upsilondie\ +resis=939;e.Upsilondieresishooksymbolgreek=980;e.Upsilonhooksymbol=978;e.Upsilontonos=910;e.Uring=366;e.Ushortcyrillic=1038;e.Usmall=63349;e.Ustraightcyrillic=1198;e.Ustraightstrokecyrillic=1200;e.Utilde=360;e.Utildeacute=7800;e.Utildebelow=7796;e.V=86;e.Vcircle=9419;e.Vdotbelow=7806;e.Vecyrillic=1042;e.Vewarmenian=1358;e.Vhook=434;e.Vmonospace=65334;e.Voarmenian=1352;e.Vsmall=63350;e.Vtilde=7804;e.W=87;e.Wacute=7810;e.Wcircle=9420;e.Wcircumflex=372;e.Wdieresis=7812;e.Wdotaccent=7814;e.Wdotbelow\ +=7816;e.Wgrave=7808;e.Wmonospace=65335;e.Wsmall=63351;e.X=88;e.Xcircle=9421;e.Xdieresis=7820;e.Xdotaccent=7818;e.Xeharmenian=1341;e.Xi=926;e.Xmonospace=65336;e.Xsmall=63352;e.Y=89;e.Yacute=221;e.Yacutesmall=63485;e.Yatcyrillic=1122;e.Ycircle=9422;e.Ycircumflex=374;e.Ydieresis=376;e.Ydieresissmall=63487;e.Ydotaccent=7822;e.Ydotbelow=7924;e.Yericyrillic=1067;e.Yerudieresiscyrillic=1272;e.Ygrave=7922;e.Yhook=435;e.Yhookabove=7926;e.Yiarmenian=1349;e.Yicyrillic=1031;e.Yiwnarmenian=1362;e.Ymonospace=\ +65337;e.Ysmall=63353;e.Ytilde=7928;e.Yusbigcyrillic=1130;e.Yusbigiotifiedcyrillic=1132;e.Yuslittlecyrillic=1126;e.Yuslittleiotifiedcyrillic=1128;e.Z=90;e.Zaarmenian=1334;e.Zacute=377;e.Zcaron=381;e.Zcaronsmall=63231;e.Zcircle=9423;e.Zcircumflex=7824;e.Zdot=379;e.Zdotaccent=379;e.Zdotbelow=7826;e.Zecyrillic=1047;e.Zedescendercyrillic=1176;e.Zedieresiscyrillic=1246;e.Zeta=918;e.Zhearmenian=1338;e.Zhebrevecyrillic=1217;e.Zhecyrillic=1046;e.Zhedescendercyrillic=1174;e.Zhedieresiscyrillic=1244;e.Zlin\ +ebelow=7828;e.Zmonospace=65338;e.Zsmall=63354;e.Zstroke=437;e.a=97;e.aabengali=2438;e.aacute=225;e.aadeva=2310;e.aagujarati=2694;e.aagurmukhi=2566;e.aamatragurmukhi=2622;e.aarusquare=13059;e.aavowelsignbengali=2494;e.aavowelsigndeva=2366;e.aavowelsigngujarati=2750;e.abbreviationmarkarmenian=1375;e.abbreviationsigndeva=2416;e.abengali=2437;e.abopomofo=12570;e.abreve=259;e.abreveacute=7855;e.abrevecyrillic=1233;e.abrevedotbelow=7863;e.abrevegrave=7857;e.abrevehookabove=7859;e.abrevetilde=7861;e.ac\ +aron=462;e.acircle=9424;e.acircumflex=226;e.acircumflexacute=7845;e.acircumflexdotbelow=7853;e.acircumflexgrave=7847;e.acircumflexhookabove=7849;e.acircumflextilde=7851;e.acute=180;e.acutebelowcmb=791;e.acutecmb=769;e.acutecomb=769;e.acutedeva=2388;e.acutelowmod=719;e.acutetonecmb=833;e.acyrillic=1072;e.adblgrave=513;e.addakgurmukhi=2673;e.adeva=2309;e.adieresis=228;e.adieresiscyrillic=1235;e.adieresismacron=479;e.adotbelow=7841;e.adotmacron=481;e.ae=230;e.aeacute=509;e.aekorean=12624;e.aemacron\ +=483;e.afii00208=8213;e.afii08941=8356;e.afii10017=1040;e.afii10018=1041;e.afii10019=1042;e.afii10020=1043;e.afii10021=1044;e.afii10022=1045;e.afii10023=1025;e.afii10024=1046;e.afii10025=1047;e.afii10026=1048;e.afii10027=1049;e.afii10028=1050;e.afii10029=1051;e.afii10030=1052;e.afii10031=1053;e.afii10032=1054;e.afii10033=1055;e.afii10034=1056;e.afii10035=1057;e.afii10036=1058;e.afii10037=1059;e.afii10038=1060;e.afii10039=1061;e.afii10040=1062;e.afii10041=1063;e.afii10042=1064;e.afii10043=1065;e.\ +afii10044=1066;e.afii10045=1067;e.afii10046=1068;e.afii10047=1069;e.afii10048=1070;e.afii10049=1071;e.afii10050=1168;e.afii10051=1026;e.afii10052=1027;e.afii10053=1028;e.afii10054=1029;e.afii10055=1030;e.afii10056=1031;e.afii10057=1032;e.afii10058=1033;e.afii10059=1034;e.afii10060=1035;e.afii10061=1036;e.afii10062=1038;e.afii10063=63172;e.afii10064=63173;e.afii10065=1072;e.afii10066=1073;e.afii10067=1074;e.afii10068=1075;e.afii10069=1076;e.afii10070=1077;e.afii10071=1105;e.afii10072=1078;e.afii1\ +0073=1079;e.afii10074=1080;e.afii10075=1081;e.afii10076=1082;e.afii10077=1083;e.afii10078=1084;e.afii10079=1085;e.afii10080=1086;e.afii10081=1087;e.afii10082=1088;e.afii10083=1089;e.afii10084=1090;e.afii10085=1091;e.afii10086=1092;e.afii10087=1093;e.afii10088=1094;e.afii10089=1095;e.afii10090=1096;e.afii10091=1097;e.afii10092=1098;e.afii10093=1099;e.afii10094=1100;e.afii10095=1101;e.afii10096=1102;e.afii10097=1103;e.afii10098=1169;e.afii10099=1106;e.afii10100=1107;e.afii10101=1108;e.afii10102=11\ +09;e.afii10103=1110;e.afii10104=1111;e.afii10105=1112;e.afii10106=1113;e.afii10107=1114;e.afii10108=1115;e.afii10109=1116;e.afii10110=1118;e.afii10145=1039;e.afii10146=1122;e.afii10147=1138;e.afii10148=1140;e.afii10192=63174;e.afii10193=1119;e.afii10194=1123;e.afii10195=1139;e.afii10196=1141;e.afii10831=63175;e.afii10832=63176;e.afii10846=1241;e.afii299=8206;e.afii300=8207;e.afii301=8205;e.afii57381=1642;e.afii57388=1548;e.afii57392=1632;e.afii57393=1633;e.afii57394=1634;e.afii57395=1635;e.afii5\ +7396=1636;e.afii57397=1637;e.afii57398=1638;e.afii57399=1639;e.afii57400=1640;e.afii57401=1641;e.afii57403=1563;e.afii57407=1567;e.afii57409=1569;e.afii57410=1570;e.afii57411=1571;e.afii57412=1572;e.afii57413=1573;e.afii57414=1574;e.afii57415=1575;e.afii57416=1576;e.afii57417=1577;e.afii57418=1578;e.afii57419=1579;e.afii57420=1580;e.afii57421=1581;e.afii57422=1582;e.afii57423=1583;e.afii57424=1584;e.afii57425=1585;e.afii57426=1586;e.afii57427=1587;e.afii57428=1588;e.afii57429=1589;e.afii57430=15\ +90;e.afii57431=1591;e.afii57432=1592;e.afii57433=1593;e.afii57434=1594;e.afii57440=1600;e.afii57441=1601;e.afii57442=1602;e.afii57443=1603;e.afii57444=1604;e.afii57445=1605;e.afii57446=1606;e.afii57448=1608;e.afii57449=1609;e.afii57450=1610;e.afii57451=1611;e.afii57452=1612;e.afii57453=1613;e.afii57454=1614;e.afii57455=1615;e.afii57456=1616;e.afii57457=1617;e.afii57458=1618;e.afii57470=1607;e.afii57505=1700;e.afii57506=1662;e.afii57507=1670;e.afii57508=1688;e.afii57509=1711;e.afii57511=1657;e.af\ +ii57512=1672;e.afii57513=1681;e.afii57514=1722;e.afii57519=1746;e.afii57534=1749;e.afii57636=8362;e.afii57645=1470;e.afii57658=1475;e.afii57664=1488;e.afii57665=1489;e.afii57666=1490;e.afii57667=1491;e.afii57668=1492;e.afii57669=1493;e.afii57670=1494;e.afii57671=1495;e.afii57672=1496;e.afii57673=1497;e.afii57674=1498;e.afii57675=1499;e.afii57676=1500;e.afii57677=1501;e.afii57678=1502;e.afii57679=1503;e.afii57680=1504;e.afii57681=1505;e.afii57682=1506;e.afii57683=1507;e.afii57684=1508;e.afii57685\ +=1509;e.afii57686=1510;e.afii57687=1511;e.afii57688=1512;e.afii57689=1513;e.afii57690=1514;e.afii57694=64298;e.afii57695=64299;e.afii57700=64331;e.afii57705=64287;e.afii57716=1520;e.afii57717=1521;e.afii57718=1522;e.afii57723=64309;e.afii57793=1460;e.afii57794=1461;e.afii57795=1462;e.afii57796=1467;e.afii57797=1464;e.afii57798=1463;e.afii57799=1456;e.afii57800=1458;e.afii57801=1457;e.afii57802=1459;e.afii57803=1474;e.afii57804=1473;e.afii57806=1465;e.afii57807=1468;e.afii57839=1469;e.afii57841=1\ +471;e.afii57842=1472;e.afii57929=700;e.afii61248=8453;e.afii61289=8467;e.afii61352=8470;e.afii61573=8236;e.afii61574=8237;e.afii61575=8238;e.afii61664=8204;e.afii63167=1645;e.afii64937=701;e.agrave=224;e.agujarati=2693;e.agurmukhi=2565;e.ahiragana=12354;e.ahookabove=7843;e.aibengali=2448;e.aibopomofo=12574;e.aideva=2320;e.aiecyrillic=1237;e.aigujarati=2704;e.aigurmukhi=2576;e.aimatragurmukhi=2632;e.ainarabic=1593;e.ainfinalarabic=65226;e.aininitialarabic=65227;e.ainmedialarabic=65228;e.ainverted\ +breve=515;e.aivowelsignbengali=2504;e.aivowelsigndeva=2376;e.aivowelsigngujarati=2760;e.akatakana=12450;e.akatakanahalfwidth=65393;e.akorean=12623;e.alef=1488;e.alefarabic=1575;e.alefdageshhebrew=64304;e.aleffinalarabic=65166;e.alefhamzaabovearabic=1571;e.alefhamzaabovefinalarabic=65156;e.alefhamzabelowarabic=1573;e.alefhamzabelowfinalarabic=65160;e.alefhebrew=1488;e.aleflamedhebrew=64335;e.alefmaddaabovearabic=1570;e.alefmaddaabovefinalarabic=65154;e.alefmaksuraarabic=1609;e.alefmaksurafinalara\ +bic=65264;e.alefmaksurainitialarabic=65267;e.alefmaksuramedialarabic=65268;e.alefpatahhebrew=64302;e.alefqamatshebrew=64303;e.aleph=8501;e.allequal=8780;e.alpha=945;e.alphatonos=940;e.amacron=257;e.amonospace=65345;e.ampersand=38;e.ampersandmonospace=65286;e.ampersandsmall=63270;e.amsquare=13250;e.anbopomofo=12578;e.angbopomofo=12580;e.angbracketleft=12296;e.angbracketright=12297;e.angkhankhuthai=3674;e.angle=8736;e.anglebracketleft=12296;e.anglebracketleftvertical=65087;e.anglebracketright=1229\ +7;e.anglebracketrightvertical=65088;e.angleleft=9001;e.angleright=9002;e.angstrom=8491;e.anoteleia=903;e.anudattadeva=2386;e.anusvarabengali=2434;e.anusvaradeva=2306;e.anusvaragujarati=2690;e.aogonek=261;e.apaatosquare=13056;e.aparen=9372;e.apostrophearmenian=1370;e.apostrophemod=700;e.apple=63743;e.approaches=8784;e.approxequal=8776;e.approxequalorimage=8786;e.approximatelyequal=8773;e.araeaekorean=12686;e.araeakorean=12685;e.arc=8978;e.arighthalfring=7834;e.aring=229;e.aringacute=507;e.aringbe\ +low=7681;e.arrowboth=8596;e.arrowdashdown=8675;e.arrowdashleft=8672;e.arrowdashright=8674;e.arrowdashup=8673;e.arrowdblboth=8660;e.arrowdbldown=8659;e.arrowdblleft=8656;e.arrowdblright=8658;e.arrowdblup=8657;e.arrowdown=8595;e.arrowdownleft=8601;e.arrowdownright=8600;e.arrowdownwhite=8681;e.arrowheaddownmod=709;e.arrowheadleftmod=706;e.arrowheadrightmod=707;e.arrowheadupmod=708;e.arrowhorizex=63719;e.arrowleft=8592;e.arrowleftdbl=8656;e.arrowleftdblstroke=8653;e.arrowleftoverright=8646;e.arrowle\ +ftwhite=8678;e.arrowright=8594;e.arrowrightdblstroke=8655;e.arrowrightheavy=10142;e.arrowrightoverleft=8644;e.arrowrightwhite=8680;e.arrowtableft=8676;e.arrowtabright=8677;e.arrowup=8593;e.arrowupdn=8597;e.arrowupdnbse=8616;e.arrowupdownbase=8616;e.arrowupleft=8598;e.arrowupleftofdown=8645;e.arrowupright=8599;e.arrowupwhite=8679;e.arrowvertex=63718;e.asciicircum=94;e.asciicircummonospace=65342;e.asciitilde=126;e.asciitildemonospace=65374;e.ascript=593;e.ascriptturned=594;e.asmallhiragana=12353;e\ +.asmallkatakana=12449;e.asmallkatakanahalfwidth=65383;e.asterisk=42;e.asteriskaltonearabic=1645;e.asteriskarabic=1645;e.asteriskmath=8727;e.asteriskmonospace=65290;e.asterisksmall=65121;e.asterism=8258;e.asuperior=63209;e.asymptoticallyequal=8771;e.at=64;e.atilde=227;e.atmonospace=65312;e.atsmall=65131;e.aturned=592;e.aubengali=2452;e.aubopomofo=12576;e.audeva=2324;e.augujarati=2708;e.augurmukhi=2580;e.aulengthmarkbengali=2519;e.aumatragurmukhi=2636;e.auvowelsignbengali=2508;e.auvowelsigndeva=23\ +80;e.auvowelsigngujarati=2764;e.avagrahadeva=2365;e.aybarmenian=1377;e.ayin=1506;e.ayinaltonehebrew=64288;e.ayinhebrew=1506;e.b=98;e.babengali=2476;e.backslash=92;e.backslashmonospace=65340;e.badeva=2348;e.bagujarati=2732;e.bagurmukhi=2604;e.bahiragana=12400;e.bahtthai=3647;e.bakatakana=12496;e.bar=124;e.barmonospace=65372;e.bbopomofo=12549;e.bcircle=9425;e.bdotaccent=7683;e.bdotbelow=7685;e.beamedsixteenthnotes=9836;e.because=8757;e.becyrillic=1073;e.beharabic=1576;e.behfinalarabic=65168;e.behi\ +nitialarabic=65169;e.behiragana=12409;e.behmedialarabic=65170;e.behmeeminitialarabic=64671;e.behmeemisolatedarabic=64520;e.behnoonfinalarabic=64621;e.bekatakana=12505;e.benarmenian=1378;e.bet=1489;e.beta=946;e.betasymbolgreek=976;e.betdagesh=64305;e.betdageshhebrew=64305;e.bethebrew=1489;e.betrafehebrew=64332;e.bhabengali=2477;e.bhadeva=2349;e.bhagujarati=2733;e.bhagurmukhi=2605;e.bhook=595;e.bihiragana=12403;e.bikatakana=12499;e.bilabialclick=664;e.bindigurmukhi=2562;e.birusquare=13105;e.blackc\ +ircle=9679;e.blackdiamond=9670;e.blackdownpointingtriangle=9660;e.blackleftpointingpointer=9668;e.blackleftpointingtriangle=9664;e.blacklenticularbracketleft=12304;e.blacklenticularbracketleftvertical=65083;e.blacklenticularbracketright=12305;e.blacklenticularbracketrightvertical=65084;e.blacklowerlefttriangle=9699;e.blacklowerrighttriangle=9698;e.blackrectangle=9644;e.blackrightpointingpointer=9658;e.blackrightpointingtriangle=9654;e.blacksmallsquare=9642;e.blacksmilingface=9787;e.blacksquare=9\ +632;e.blackstar=9733;e.blackupperlefttriangle=9700;e.blackupperrighttriangle=9701;e.blackuppointingsmalltriangle=9652;e.blackuppointingtriangle=9650;e.blank=9251;e.blinebelow=7687;e.block=9608;e.bmonospace=65346;e.bobaimaithai=3610;e.bohiragana=12412;e.bokatakana=12508;e.bparen=9373;e.bqsquare=13251;e.braceex=63732;e.braceleft=123;e.braceleftbt=63731;e.braceleftmid=63730;e.braceleftmonospace=65371;e.braceleftsmall=65115;e.bracelefttp=63729;e.braceleftvertical=65079;e.braceright=125;e.bracerightb\ +t=63742;e.bracerightmid=63741;e.bracerightmonospace=65373;e.bracerightsmall=65116;e.bracerighttp=63740;e.bracerightvertical=65080;e.bracketleft=91;e.bracketleftbt=63728;e.bracketleftex=63727;e.bracketleftmonospace=65339;e.bracketlefttp=63726;e.bracketright=93;e.bracketrightbt=63739;e.bracketrightex=63738;e.bracketrightmonospace=65341;e.bracketrighttp=63737;e.breve=728;e.brevebelowcmb=814;e.brevecmb=774;e.breveinvertedbelowcmb=815;e.breveinvertedcmb=785;e.breveinverteddoublecmb=865;e.bridgebelowc\ +mb=810;e.bridgeinvertedbelowcmb=826;e.brokenbar=166;e.bstroke=384;e.bsuperior=63210;e.btopbar=387;e.buhiragana=12406;e.bukatakana=12502;e.bullet=8226;e.bulletinverse=9688;e.bulletoperator=8729;e.bullseye=9678;e.c=99;e.caarmenian=1390;e.cabengali=2458;e.cacute=263;e.cadeva=2330;e.cagujarati=2714;e.cagurmukhi=2586;e.calsquare=13192;e.candrabindubengali=2433;e.candrabinducmb=784;e.candrabindudeva=2305;e.candrabindugujarati=2689;e.capslock=8682;e.careof=8453;e.caron=711;e.caronbelowcmb=812;e.caroncm\ +b=780;e.carriagereturn=8629;e.cbopomofo=12568;e.ccaron=269;e.ccedilla=231;e.ccedillaacute=7689;e.ccircle=9426;e.ccircumflex=265;e.ccurl=597;e.cdot=267;e.cdotaccent=267;e.cdsquare=13253;e.cedilla=184;e.cedillacmb=807;e.cent=162;e.centigrade=8451;e.centinferior=63199;e.centmonospace=65504;e.centoldstyle=63394;e.centsuperior=63200;e.chaarmenian=1401;e.chabengali=2459;e.chadeva=2331;e.chagujarati=2715;e.chagurmukhi=2587;e.chbopomofo=12564;e.cheabkhasiancyrillic=1213;e.checkmark=10003;e.checyrillic=1\ +095;e.chedescenderabkhasiancyrillic=1215;e.chedescendercyrillic=1207;e.chedieresiscyrillic=1269;e.cheharmenian=1395;e.chekhakassiancyrillic=1228;e.cheverticalstrokecyrillic=1209;e.chi=967;e.chieuchacirclekorean=12919;e.chieuchaparenkorean=12823;e.chieuchcirclekorean=12905;e.chieuchkorean=12618;e.chieuchparenkorean=12809;e.chochangthai=3594;e.chochanthai=3592;e.chochingthai=3593;e.chochoethai=3596;e.chook=392;e.cieucacirclekorean=12918;e.cieucaparenkorean=12822;e.cieuccirclekorean=12904;e.cieucko\ +rean=12616;e.cieucparenkorean=12808;e.cieucuparenkorean=12828;e.circle=9675;e.circlecopyrt=169;e.circlemultiply=8855;e.circleot=8857;e.circleplus=8853;e.circlepostalmark=12342;e.circlewithlefthalfblack=9680;e.circlewithrighthalfblack=9681;e.circumflex=710;e.circumflexbelowcmb=813;e.circumflexcmb=770;e.clear=8999;e.clickalveolar=450;e.clickdental=448;e.clicklateral=449;e.clickretroflex=451;e.club=9827;e.clubsuitblack=9827;e.clubsuitwhite=9831;e.cmcubedsquare=13220;e.cmonospace=65347;e.cmsquaredsq\ +uare=13216;e.coarmenian=1409;e.colon=58;e.colonmonetary=8353;e.colonmonospace=65306;e.colonsign=8353;e.colonsmall=65109;e.colontriangularhalfmod=721;e.colontriangularmod=720;e.comma=44;e.commaabovecmb=787;e.commaaboverightcmb=789;e.commaaccent=63171;e.commaarabic=1548;e.commaarmenian=1373;e.commainferior=63201;e.commamonospace=65292;e.commareversedabovecmb=788;e.commareversedmod=701;e.commasmall=65104;e.commasuperior=63202;e.commaturnedabovecmb=786;e.commaturnedmod=699;e.compass=9788;e.congruent\ +=8773;e.contourintegral=8750;e.control=8963;e.controlACK=6;e.controlBEL=7;e.controlBS=8;e.controlCAN=24;e.controlCR=13;e.controlDC1=17;e.controlDC2=18;e.controlDC3=19;e.controlDC4=20;e.controlDEL=127;e.controlDLE=16;e.controlEM=25;e.controlENQ=5;e.controlEOT=4;e.controlESC=27;e.controlETB=23;e.controlETX=3;e.controlFF=12;e.controlFS=28;e.controlGS=29;e.controlHT=9;e.controlLF=10;e.controlNAK=21;e.controlNULL=0;e.controlRS=30;e.controlSI=15;e.controlSO=14;e.controlSOT=2;e.controlSTX=1;e.controlSU\ +B=26;e.controlSYN=22;e.controlUS=31;e.controlVT=11;e.copyright=169;e.copyrightsans=63721;e.copyrightserif=63193;e.cornerbracketleft=12300;e.cornerbracketlefthalfwidth=65378;e.cornerbracketleftvertical=65089;e.cornerbracketright=12301;e.cornerbracketrighthalfwidth=65379;e.cornerbracketrightvertical=65090;e.corporationsquare=13183;e.cosquare=13255;e.coverkgsquare=13254;e.cparen=9374;e.cruzeiro=8354;e.cstretched=663;e.curlyand=8911;e.curlyor=8910;e.currency=164;e.cyrBreve=63185;e.cyrFlex=63186;e.cy\ +rbreve=63188;e.cyrflex=63189;e.d=100;e.daarmenian=1380;e.dabengali=2470;e.dadarabic=1590;e.dadeva=2342;e.dadfinalarabic=65214;e.dadinitialarabic=65215;e.dadmedialarabic=65216;e.dagesh=1468;e.dageshhebrew=1468;e.dagger=8224;e.daggerdbl=8225;e.dagujarati=2726;e.dagurmukhi=2598;e.dahiragana=12384;e.dakatakana=12480;e.dalarabic=1583;e.dalet=1491;e.daletdagesh=64307;e.daletdageshhebrew=64307;e.dalethebrew=1491;e.dalfinalarabic=65194;e.dammaarabic=1615;e.dammalowarabic=1615;e.dammatanaltonearabic=1612\ +;e.dammatanarabic=1612;e.danda=2404;e.dargahebrew=1447;e.dargalefthebrew=1447;e.dasiapneumatacyrilliccmb=1157;e.dblGrave=63187;e.dblanglebracketleft=12298;e.dblanglebracketleftvertical=65085;e.dblanglebracketright=12299;e.dblanglebracketrightvertical=65086;e.dblarchinvertedbelowcmb=811;e.dblarrowleft=8660;e.dblarrowright=8658;e.dbldanda=2405;e.dblgrave=63190;e.dblgravecmb=783;e.dblintegral=8748;e.dbllowline=8215;e.dbllowlinecmb=819;e.dbloverlinecmb=831;e.dblprimemod=698;e.dblverticalbar=8214;e.d\ +blverticallineabovecmb=782;e.dbopomofo=12553;e.dbsquare=13256;e.dcaron=271;e.dcedilla=7697;e.dcircle=9427;e.dcircumflexbelow=7699;e.dcroat=273;e.ddabengali=2465;e.ddadeva=2337;e.ddagujarati=2721;e.ddagurmukhi=2593;e.ddalarabic=1672;e.ddalfinalarabic=64393;e.dddhadeva=2396;e.ddhabengali=2466;e.ddhadeva=2338;e.ddhagujarati=2722;e.ddhagurmukhi=2594;e.ddotaccent=7691;e.ddotbelow=7693;e.decimalseparatorarabic=1643;e.decimalseparatorpersian=1643;e.decyrillic=1076;e.degree=176;e.dehihebrew=1453;e.dehir\ +agana=12391;e.deicoptic=1007;e.dekatakana=12487;e.deleteleft=9003;e.deleteright=8998;e.delta=948;e.deltaturned=397;e.denominatorminusonenumeratorbengali=2552;e.dezh=676;e.dhabengali=2471;e.dhadeva=2343;e.dhagujarati=2727;e.dhagurmukhi=2599;e.dhook=599;e.dialytikatonos=901;e.dialytikatonoscmb=836;e.diamond=9830;e.diamondsuitwhite=9826;e.dieresis=168;e.dieresisacute=63191;e.dieresisbelowcmb=804;e.dieresiscmb=776;e.dieresisgrave=63192;e.dieresistonos=901;e.dihiragana=12386;e.dikatakana=12482;e.ditt\ +omark=12291;e.divide=247;e.divides=8739;e.divisionslash=8725;e.djecyrillic=1106;e.dkshade=9619;e.dlinebelow=7695;e.dlsquare=13207;e.dmacron=273;e.dmonospace=65348;e.dnblock=9604;e.dochadathai=3598;e.dodekthai=3604;e.dohiragana=12393;e.dokatakana=12489;e.dollar=36;e.dollarinferior=63203;e.dollarmonospace=65284;e.dollaroldstyle=63268;e.dollarsmall=65129;e.dollarsuperior=63204;e.dong=8363;e.dorusquare=13094;e.dotaccent=729;e.dotaccentcmb=775;e.dotbelowcmb=803;e.dotbelowcomb=803;e.dotkatakana=12539;\ +e.dotlessi=305;e.dotlessj=63166;e.dotlessjstrokehook=644;e.dotmath=8901;e.dottedcircle=9676;e.doubleyodpatah=64287;e.doubleyodpatahhebrew=64287;e.downtackbelowcmb=798;e.downtackmod=725;e.dparen=9375;e.dsuperior=63211;e.dtail=598;e.dtopbar=396;e.duhiragana=12389;e.dukatakana=12485;e.dz=499;e.dzaltone=675;e.dzcaron=454;e.dzcurl=677;e.dzeabkhasiancyrillic=1249;e.dzecyrillic=1109;e.dzhecyrillic=1119;e.e=101;e.eacute=233;e.earth=9793;e.ebengali=2447;e.ebopomofo=12572;e.ebreve=277;e.ecandradeva=2317;e\ +.ecandragujarati=2701;e.ecandravowelsigndeva=2373;e.ecandravowelsigngujarati=2757;e.ecaron=283;e.ecedillabreve=7709;e.echarmenian=1381;e.echyiwnarmenian=1415;e.ecircle=9428;e.ecircumflex=234;e.ecircumflexacute=7871;e.ecircumflexbelow=7705;e.ecircumflexdotbelow=7879;e.ecircumflexgrave=7873;e.ecircumflexhookabove=7875;e.ecircumflextilde=7877;e.ecyrillic=1108;e.edblgrave=517;e.edeva=2319;e.edieresis=235;e.edot=279;e.edotaccent=279;e.edotbelow=7865;e.eegurmukhi=2575;e.eematragurmukhi=2631;e.efcyrill\ +ic=1092;e.egrave=232;e.egujarati=2703;e.eharmenian=1383;e.ehbopomofo=12573;e.ehiragana=12360;e.ehookabove=7867;e.eibopomofo=12575;e.eight=56;e.eightarabic=1640;e.eightbengali=2542;e.eightcircle=9319;e.eightcircleinversesansserif=10129;e.eightdeva=2414;e.eighteencircle=9329;e.eighteenparen=9349;e.eighteenperiod=9369;e.eightgujarati=2798;e.eightgurmukhi=2670;e.eighthackarabic=1640;e.eighthangzhou=12328;e.eighthnotebeamed=9835;e.eightideographicparen=12839;e.eightinferior=8328;e.eightmonospace=6530\ +4;e.eightoldstyle=63288;e.eightparen=9339;e.eightperiod=9359;e.eightpersian=1784;e.eightroman=8567;e.eightsuperior=8312;e.eightthai=3672;e.einvertedbreve=519;e.eiotifiedcyrillic=1125;e.ekatakana=12456;e.ekatakanahalfwidth=65396;e.ekonkargurmukhi=2676;e.ekorean=12628;e.elcyrillic=1083;e.element=8712;e.elevencircle=9322;e.elevenparen=9342;e.elevenperiod=9362;e.elevenroman=8570;e.ellipsis=8230;e.ellipsisvertical=8942;e.emacron=275;e.emacronacute=7703;e.emacrongrave=7701;e.emcyrillic=1084;e.emdash=8\ +212;e.emdashvertical=65073;e.emonospace=65349;e.emphasismarkarmenian=1371;e.emptyset=8709;e.enbopomofo=12579;e.encyrillic=1085;e.endash=8211;e.endashvertical=65074;e.endescendercyrillic=1187;e.eng=331;e.engbopomofo=12581;e.enghecyrillic=1189;e.enhookcyrillic=1224;e.enspace=8194;e.eogonek=281;e.eokorean=12627;e.eopen=603;e.eopenclosed=666;e.eopenreversed=604;e.eopenreversedclosed=606;e.eopenreversedhook=605;e.eparen=9376;e.epsilon=949;e.epsilontonos=941;e.equal=61;e.equalmonospace=65309;e.equalsm\ +all=65126;e.equalsuperior=8316;e.equivalence=8801;e.erbopomofo=12582;e.ercyrillic=1088;e.ereversed=600;e.ereversedcyrillic=1101;e.escyrillic=1089;e.esdescendercyrillic=1195;e.esh=643;e.eshcurl=646;e.eshortdeva=2318;e.eshortvowelsigndeva=2374;e.eshreversedloop=426;e.eshsquatreversed=645;e.esmallhiragana=12359;e.esmallkatakana=12455;e.esmallkatakanahalfwidth=65386;e.estimated=8494;e.esuperior=63212;e.eta=951;e.etarmenian=1384;e.etatonos=942;e.eth=240;e.etilde=7869;e.etildebelow=7707;e.etnahtafoukh\ +hebrew=1425;e.etnahtafoukhlefthebrew=1425;e.etnahtahebrew=1425;e.etnahtalefthebrew=1425;e.eturned=477;e.eukorean=12641;e.euro=8364;e.evowelsignbengali=2503;e.evowelsigndeva=2375;e.evowelsigngujarati=2759;e.exclam=33;e.exclamarmenian=1372;e.exclamdbl=8252;e.exclamdown=161;e.exclamdownsmall=63393;e.exclammonospace=65281;e.exclamsmall=63265;e.existential=8707;e.ezh=658;e.ezhcaron=495;e.ezhcurl=659;e.ezhreversed=441;e.ezhtail=442;e.f=102;e.fadeva=2398;e.fagurmukhi=2654;e.fahrenheit=8457;e.fathaarabi\ +c=1614;e.fathalowarabic=1614;e.fathatanarabic=1611;e.fbopomofo=12552;e.fcircle=9429;e.fdotaccent=7711;e.feharabic=1601;e.feharmenian=1414;e.fehfinalarabic=65234;e.fehinitialarabic=65235;e.fehmedialarabic=65236;e.feicoptic=997;e.female=9792;e.ff=64256;e.f_f=64256;e.ffi=64259;e.f_f_i=64259;e.ffl=64260;e.f_f_l=64260;e.fi=64257;e.f_i=64257;e.fifteencircle=9326;e.fifteenparen=9346;e.fifteenperiod=9366;e.figuredash=8210;e.filledbox=9632;e.filledrect=9644;e.finalkaf=1498;e.finalkafdagesh=64314;e.finalk\ +afdageshhebrew=64314;e.finalkafhebrew=1498;e.finalmem=1501;e.finalmemhebrew=1501;e.finalnun=1503;e.finalnunhebrew=1503;e.finalpe=1507;e.finalpehebrew=1507;e.finaltsadi=1509;e.finaltsadihebrew=1509;e.firsttonechinese=713;e.fisheye=9673;e.fitacyrillic=1139;e.five=53;e.fivearabic=1637;e.fivebengali=2539;e.fivecircle=9316;e.fivecircleinversesansserif=10126;e.fivedeva=2411;e.fiveeighths=8541;e.fivegujarati=2795;e.fivegurmukhi=2667;e.fivehackarabic=1637;e.fivehangzhou=12325;e.fiveideographicparen=1283\ +6;e.fiveinferior=8325;e.fivemonospace=65301;e.fiveoldstyle=63285;e.fiveparen=9336;e.fiveperiod=9356;e.fivepersian=1781;e.fiveroman=8564;e.fivesuperior=8309;e.fivethai=3669;e.fl=64258;e.f_l=64258;e.florin=402;e.fmonospace=65350;e.fmsquare=13209;e.fofanthai=3615;e.fofathai=3613;e.fongmanthai=3663;e.forall=8704;e.four=52;e.fourarabic=1636;e.fourbengali=2538;e.fourcircle=9315;e.fourcircleinversesansserif=10125;e.fourdeva=2410;e.fourgujarati=2794;e.fourgurmukhi=2666;e.fourhackarabic=1636;e.fourhangzh\ +ou=12324;e.fourideographicparen=12835;e.fourinferior=8324;e.fourmonospace=65300;e.fournumeratorbengali=2551;e.fouroldstyle=63284;e.fourparen=9335;e.fourperiod=9355;e.fourpersian=1780;e.fourroman=8563;e.foursuperior=8308;e.fourteencircle=9325;e.fourteenparen=9345;e.fourteenperiod=9365;e.fourthai=3668;e.fourthtonechinese=715;e.fparen=9377;e.fraction=8260;e.franc=8355;e.g=103;e.gabengali=2455;e.gacute=501;e.gadeva=2327;e.gafarabic=1711;e.gaffinalarabic=64403;e.gafinitialarabic=64404;e.gafmedialarab\ +ic=64405;e.gagujarati=2711;e.gagurmukhi=2583;e.gahiragana=12364;e.gakatakana=12460;e.gamma=947;e.gammalatinsmall=611;e.gammasuperior=736;e.gangiacoptic=1003;e.gbopomofo=12557;e.gbreve=287;e.gcaron=487;e.gcedilla=291;e.gcircle=9430;e.gcircumflex=285;e.gcommaaccent=291;e.gdot=289;e.gdotaccent=289;e.gecyrillic=1075;e.gehiragana=12370;e.gekatakana=12466;e.geometricallyequal=8785;e.gereshaccenthebrew=1436;e.gereshhebrew=1523;e.gereshmuqdamhebrew=1437;e.germandbls=223;e.gershayimaccenthebrew=1438;e.ge\ +rshayimhebrew=1524;e.getamark=12307;e.ghabengali=2456;e.ghadarmenian=1394;e.ghadeva=2328;e.ghagujarati=2712;e.ghagurmukhi=2584;e.ghainarabic=1594;e.ghainfinalarabic=65230;e.ghaininitialarabic=65231;e.ghainmedialarabic=65232;e.ghemiddlehookcyrillic=1173;e.ghestrokecyrillic=1171;e.gheupturncyrillic=1169;e.ghhadeva=2394;e.ghhagurmukhi=2650;e.ghook=608;e.ghzsquare=13203;e.gihiragana=12366;e.gikatakana=12462;e.gimarmenian=1379;e.gimel=1490;e.gimeldagesh=64306;e.gimeldageshhebrew=64306;e.gimelhebrew=1\ +490;e.gjecyrillic=1107;e.glottalinvertedstroke=446;e.glottalstop=660;e.glottalstopinverted=662;e.glottalstopmod=704;e.glottalstopreversed=661;e.glottalstopreversedmod=705;e.glottalstopreversedsuperior=740;e.glottalstopstroke=673;e.glottalstopstrokereversed=674;e.gmacron=7713;e.gmonospace=65351;e.gohiragana=12372;e.gokatakana=12468;e.gparen=9378;e.gpasquare=13228;e.gradient=8711;e.grave=96;e.gravebelowcmb=790;e.gravecmb=768;e.gravecomb=768;e.gravedeva=2387;e.gravelowmod=718;e.gravemonospace=65344\ +;e.gravetonecmb=832;e.greater=62;e.greaterequal=8805;e.greaterequalorless=8923;e.greatermonospace=65310;e.greaterorequivalent=8819;e.greaterorless=8823;e.greateroverequal=8807;e.greatersmall=65125;e.gscript=609;e.gstroke=485;e.guhiragana=12368;e.guillemotleft=171;e.guillemotright=187;e.guilsinglleft=8249;e.guilsinglright=8250;e.gukatakana=12464;e.guramusquare=13080;e.gysquare=13257;e.h=104;e.haabkhasiancyrillic=1193;e.haaltonearabic=1729;e.habengali=2489;e.hadescendercyrillic=1203;e.hadeva=2361;\ +e.hagujarati=2745;e.hagurmukhi=2617;e.haharabic=1581;e.hahfinalarabic=65186;e.hahinitialarabic=65187;e.hahiragana=12399;e.hahmedialarabic=65188;e.haitusquare=13098;e.hakatakana=12495;e.hakatakanahalfwidth=65418;e.halantgurmukhi=2637;e.hamzaarabic=1569;e.hamzalowarabic=1569;e.hangulfiller=12644;e.hardsigncyrillic=1098;e.harpoonleftbarbup=8636;e.harpoonrightbarbup=8640;e.hasquare=13258;e.hatafpatah=1458;e.hatafpatah16=1458;e.hatafpatah23=1458;e.hatafpatah2f=1458;e.hatafpatahhebrew=1458;e.hatafpata\ +hnarrowhebrew=1458;e.hatafpatahquarterhebrew=1458;e.hatafpatahwidehebrew=1458;e.hatafqamats=1459;e.hatafqamats1b=1459;e.hatafqamats28=1459;e.hatafqamats34=1459;e.hatafqamatshebrew=1459;e.hatafqamatsnarrowhebrew=1459;e.hatafqamatsquarterhebrew=1459;e.hatafqamatswidehebrew=1459;e.hatafsegol=1457;e.hatafsegol17=1457;e.hatafsegol24=1457;e.hatafsegol30=1457;e.hatafsegolhebrew=1457;e.hatafsegolnarrowhebrew=1457;e.hatafsegolquarterhebrew=1457;e.hatafsegolwidehebrew=1457;e.hbar=295;e.hbopomofo=12559;e.h\ +brevebelow=7723;e.hcedilla=7721;e.hcircle=9431;e.hcircumflex=293;e.hdieresis=7719;e.hdotaccent=7715;e.hdotbelow=7717;e.he=1492;e.heart=9829;e.heartsuitblack=9829;e.heartsuitwhite=9825;e.hedagesh=64308;e.hedageshhebrew=64308;e.hehaltonearabic=1729;e.heharabic=1607;e.hehebrew=1492;e.hehfinalaltonearabic=64423;e.hehfinalalttwoarabic=65258;e.hehfinalarabic=65258;e.hehhamzaabovefinalarabic=64421;e.hehhamzaaboveisolatedarabic=64420;e.hehinitialaltonearabic=64424;e.hehinitialarabic=65259;e.hehiragana=1\ +2408;e.hehmedialaltonearabic=64425;e.hehmedialarabic=65260;e.heiseierasquare=13179;e.hekatakana=12504;e.hekatakanahalfwidth=65421;e.hekutaarusquare=13110;e.henghook=615;e.herutusquare=13113;e.het=1495;e.hethebrew=1495;e.hhook=614;e.hhooksuperior=689;e.hieuhacirclekorean=12923;e.hieuhaparenkorean=12827;e.hieuhcirclekorean=12909;e.hieuhkorean=12622;e.hieuhparenkorean=12813;e.hihiragana=12402;e.hikatakana=12498;e.hikatakanahalfwidth=65419;e.hiriq=1460;e.hiriq14=1460;e.hiriq21=1460;e.hiriq2d=1460;e.\ +hiriqhebrew=1460;e.hiriqnarrowhebrew=1460;e.hiriqquarterhebrew=1460;e.hiriqwidehebrew=1460;e.hlinebelow=7830;e.hmonospace=65352;e.hoarmenian=1392;e.hohipthai=3627;e.hohiragana=12411;e.hokatakana=12507;e.hokatakanahalfwidth=65422;e.holam=1465;e.holam19=1465;e.holam26=1465;e.holam32=1465;e.holamhebrew=1465;e.holamnarrowhebrew=1465;e.holamquarterhebrew=1465;e.holamwidehebrew=1465;e.honokhukthai=3630;e.hookabovecomb=777;e.hookcmb=777;e.hookpalatalizedbelowcmb=801;e.hookretroflexbelowcmb=802;e.hoonsq\ +uare=13122;e.horicoptic=1001;e.horizontalbar=8213;e.horncmb=795;e.hotsprings=9832;e.house=8962;e.hparen=9379;e.hsuperior=688;e.hturned=613;e.huhiragana=12405;e.huiitosquare=13107;e.hukatakana=12501;e.hukatakanahalfwidth=65420;e.hungarumlaut=733;e.hungarumlautcmb=779;e.hv=405;e.hyphen=45;e.hypheninferior=63205;e.hyphenmonospace=65293;e.hyphensmall=65123;e.hyphensuperior=63206;e.hyphentwo=8208;e.i=105;e.iacute=237;e.iacyrillic=1103;e.ibengali=2439;e.ibopomofo=12583;e.ibreve=301;e.icaron=464;e.icir\ +cle=9432;e.icircumflex=238;e.icyrillic=1110;e.idblgrave=521;e.ideographearthcircle=12943;e.ideographfirecircle=12939;e.ideographicallianceparen=12863;e.ideographiccallparen=12858;e.ideographiccentrecircle=12965;e.ideographicclose=12294;e.ideographiccomma=12289;e.ideographiccommaleft=65380;e.ideographiccongratulationparen=12855;e.ideographiccorrectcircle=12963;e.ideographicearthparen=12847;e.ideographicenterpriseparen=12861;e.ideographicexcellentcircle=12957;e.ideographicfestivalparen=12864;e.ide\ +ographicfinancialcircle=12950;e.ideographicfinancialparen=12854;e.ideographicfireparen=12843;e.ideographichaveparen=12850;e.ideographichighcircle=12964;e.ideographiciterationmark=12293;e.ideographiclaborcircle=12952;e.ideographiclaborparen=12856;e.ideographicleftcircle=12967;e.ideographiclowcircle=12966;e.ideographicmedicinecircle=12969;e.ideographicmetalparen=12846;e.ideographicmoonparen=12842;e.ideographicnameparen=12852;e.ideographicperiod=12290;e.ideographicprintcircle=12958;e.ideographicrea\ +chparen=12867;e.ideographicrepresentparen=12857;e.ideographicresourceparen=12862;e.ideographicrightcircle=12968;e.ideographicsecretcircle=12953;e.ideographicselfparen=12866;e.ideographicsocietyparen=12851;e.ideographicspace=12288;e.ideographicspecialparen=12853;e.ideographicstockparen=12849;e.ideographicstudyparen=12859;e.ideographicsunparen=12848;e.ideographicsuperviseparen=12860;e.ideographicwaterparen=12844;e.ideographicwoodparen=12845;e.ideographiczero=12295;e.ideographmetalcircle=12942;e.id\ +eographmooncircle=12938;e.ideographnamecircle=12948;e.ideographsuncircle=12944;e.ideographwatercircle=12940;e.ideographwoodcircle=12941;e.ideva=2311;e.idieresis=239;e.idieresisacute=7727;e.idieresiscyrillic=1253;e.idotbelow=7883;e.iebrevecyrillic=1239;e.iecyrillic=1077;e.ieungacirclekorean=12917;e.ieungaparenkorean=12821;e.ieungcirclekorean=12903;e.ieungkorean=12615;e.ieungparenkorean=12807;e.igrave=236;e.igujarati=2695;e.igurmukhi=2567;e.ihiragana=12356;e.ihookabove=7881;e.iibengali=2440;e.iicy\ +rillic=1080;e.iideva=2312;e.iigujarati=2696;e.iigurmukhi=2568;e.iimatragurmukhi=2624;e.iinvertedbreve=523;e.iishortcyrillic=1081;e.iivowelsignbengali=2496;e.iivowelsigndeva=2368;e.iivowelsigngujarati=2752;e.ij=307;e.ikatakana=12452;e.ikatakanahalfwidth=65394;e.ikorean=12643;e.ilde=732;e.iluyhebrew=1452;e.imacron=299;e.imacroncyrillic=1251;e.imageorapproximatelyequal=8787;e.imatragurmukhi=2623;e.imonospace=65353;e.increment=8710;e.infinity=8734;e.iniarmenian=1387;e.integral=8747;e.integralbottom=\ +8993;e.integralbt=8993;e.integralex=63733;e.integraltop=8992;e.integraltp=8992;e.intersection=8745;e.intisquare=13061;e.invbullet=9688;e.invcircle=9689;e.invsmileface=9787;e.iocyrillic=1105;e.iogonek=303;e.iota=953;e.iotadieresis=970;e.iotadieresistonos=912;e.iotalatin=617;e.iotatonos=943;e.iparen=9380;e.irigurmukhi=2674;e.ismallhiragana=12355;e.ismallkatakana=12451;e.ismallkatakanahalfwidth=65384;e.issharbengali=2554;e.istroke=616;e.isuperior=63213;e.iterationhiragana=12445;e.iterationkatakana=\ +12541;e.itilde=297;e.itildebelow=7725;e.iubopomofo=12585;e.iucyrillic=1102;e.ivowelsignbengali=2495;e.ivowelsigndeva=2367;e.ivowelsigngujarati=2751;e.izhitsacyrillic=1141;e.izhitsadblgravecyrillic=1143;e.j=106;e.jaarmenian=1393;e.jabengali=2460;e.jadeva=2332;e.jagujarati=2716;e.jagurmukhi=2588;e.jbopomofo=12560;e.jcaron=496;e.jcircle=9433;e.jcircumflex=309;e.jcrossedtail=669;e.jdotlessstroke=607;e.jecyrillic=1112;e.jeemarabic=1580;e.jeemfinalarabic=65182;e.jeeminitialarabic=65183;e.jeemmedialara\ +bic=65184;e.jeharabic=1688;e.jehfinalarabic=64395;e.jhabengali=2461;e.jhadeva=2333;e.jhagujarati=2717;e.jhagurmukhi=2589;e.jheharmenian=1403;e.jis=12292;e.jmonospace=65354;e.jparen=9381;e.jsuperior=690;e.k=107;e.kabashkircyrillic=1185;e.kabengali=2453;e.kacute=7729;e.kacyrillic=1082;e.kadescendercyrillic=1179;e.kadeva=2325;e.kaf=1499;e.kafarabic=1603;e.kafdagesh=64315;e.kafdageshhebrew=64315;e.kaffinalarabic=65242;e.kafhebrew=1499;e.kafinitialarabic=65243;e.kafmedialarabic=65244;e.kafrafehebrew=\ +64333;e.kagujarati=2709;e.kagurmukhi=2581;e.kahiragana=12363;e.kahookcyrillic=1220;e.kakatakana=12459;e.kakatakanahalfwidth=65398;e.kappa=954;e.kappasymbolgreek=1008;e.kapyeounmieumkorean=12657;e.kapyeounphieuphkorean=12676;e.kapyeounpieupkorean=12664;e.kapyeounssangpieupkorean=12665;e.karoriisquare=13069;e.kashidaautoarabic=1600;e.kashidaautonosidebearingarabic=1600;e.kasmallkatakana=12533;e.kasquare=13188;e.kasraarabic=1616;e.kasratanarabic=1613;e.kastrokecyrillic=1183;e.katahiraprolongmarkhal\ +fwidth=65392;e.kaverticalstrokecyrillic=1181;e.kbopomofo=12558;e.kcalsquare=13193;e.kcaron=489;e.kcedilla=311;e.kcircle=9434;e.kcommaaccent=311;e.kdotbelow=7731;e.keharmenian=1412;e.kehiragana=12369;e.kekatakana=12465;e.kekatakanahalfwidth=65401;e.kenarmenian=1391;e.kesmallkatakana=12534;e.kgreenlandic=312;e.khabengali=2454;e.khacyrillic=1093;e.khadeva=2326;e.khagujarati=2710;e.khagurmukhi=2582;e.khaharabic=1582;e.khahfinalarabic=65190;e.khahinitialarabic=65191;e.khahmedialarabic=65192;e.kheicop\ +tic=999;e.khhadeva=2393;e.khhagurmukhi=2649;e.khieukhacirclekorean=12920;e.khieukhaparenkorean=12824;e.khieukhcirclekorean=12906;e.khieukhkorean=12619;e.khieukhparenkorean=12810;e.khokhaithai=3586;e.khokhonthai=3589;e.khokhuatthai=3587;e.khokhwaithai=3588;e.khomutthai=3675;e.khook=409;e.khorakhangthai=3590;e.khzsquare=13201;e.kihiragana=12365;e.kikatakana=12461;e.kikatakanahalfwidth=65399;e.kiroguramusquare=13077;e.kiromeetorusquare=13078;e.kirosquare=13076;e.kiyeokacirclekorean=12910;e.kiyeokap\ +arenkorean=12814;e.kiyeokcirclekorean=12896;e.kiyeokkorean=12593;e.kiyeokparenkorean=12800;e.kiyeoksioskorean=12595;e.kjecyrillic=1116;e.klinebelow=7733;e.klsquare=13208;e.kmcubedsquare=13222;e.kmonospace=65355;e.kmsquaredsquare=13218;e.kohiragana=12371;e.kohmsquare=13248;e.kokaithai=3585;e.kokatakana=12467;e.kokatakanahalfwidth=65402;e.kooposquare=13086;e.koppacyrillic=1153;e.koreanstandardsymbol=12927;e.koroniscmb=835;e.kparen=9382;e.kpasquare=13226;e.ksicyrillic=1135;e.ktsquare=13263;e.kturne\ +d=670;e.kuhiragana=12367;e.kukatakana=12463;e.kukatakanahalfwidth=65400;e.kvsquare=13240;e.kwsquare=13246;e.l=108;e.labengali=2482;e.lacute=314;e.ladeva=2354;e.lagujarati=2738;e.lagurmukhi=2610;e.lakkhangyaothai=3653;e.lamaleffinalarabic=65276;e.lamalefhamzaabovefinalarabic=65272;e.lamalefhamzaaboveisolatedarabic=65271;e.lamalefhamzabelowfinalarabic=65274;e.lamalefhamzabelowisolatedarabic=65273;e.lamalefisolatedarabic=65275;e.lamalefmaddaabovefinalarabic=65270;e.lamalefmaddaaboveisolatedarabic=6\ +5269;e.lamarabic=1604;e.lambda=955;e.lambdastroke=411;e.lamed=1500;e.lameddagesh=64316;e.lameddageshhebrew=64316;e.lamedhebrew=1500;e.lamfinalarabic=65246;e.lamhahinitialarabic=64714;e.laminitialarabic=65247;e.lamjeeminitialarabic=64713;e.lamkhahinitialarabic=64715;e.lamlamhehisolatedarabic=65010;e.lammedialarabic=65248;e.lammeemhahinitialarabic=64904;e.lammeeminitialarabic=64716;e.largecircle=9711;e.lbar=410;e.lbelt=620;e.lbopomofo=12556;e.lcaron=318;e.lcedilla=316;e.lcircle=9435;e.lcircumflexb\ +elow=7741;e.lcommaaccent=316;e.ldot=320;e.ldotaccent=320;e.ldotbelow=7735;e.ldotbelowmacron=7737;e.leftangleabovecmb=794;e.lefttackbelowcmb=792;e.less=60;e.lessequal=8804;e.lessequalorgreater=8922;e.lessmonospace=65308;e.lessorequivalent=8818;e.lessorgreater=8822;e.lessoverequal=8806;e.lesssmall=65124;e.lezh=622;e.lfblock=9612;e.lhookretroflex=621;e.lira=8356;e.liwnarmenian=1388;e.lj=457;e.ljecyrillic=1113;e.ll=63168;e.lladeva=2355;e.llagujarati=2739;e.llinebelow=7739;e.llladeva=2356;e.llvocalic\ +bengali=2529;e.llvocalicdeva=2401;e.llvocalicvowelsignbengali=2531;e.llvocalicvowelsigndeva=2403;e.lmiddletilde=619;e.lmonospace=65356;e.lmsquare=13264;e.lochulathai=3628;e.logicaland=8743;e.logicalnot=172;e.logicalnotreversed=8976;e.logicalor=8744;e.lolingthai=3621;e.longs=383;e.lowlinecenterline=65102;e.lowlinecmb=818;e.lowlinedashed=65101;e.lozenge=9674;e.lparen=9383;e.lslash=322;e.lsquare=8467;e.lsuperior=63214;e.ltshade=9617;e.luthai=3622;e.lvocalicbengali=2444;e.lvocalicdeva=2316;e.lvocali\ +cvowelsignbengali=2530;e.lvocalicvowelsigndeva=2402;e.lxsquare=13267;e.m=109;e.mabengali=2478;e.macron=175;e.macronbelowcmb=817;e.macroncmb=772;e.macronlowmod=717;e.macronmonospace=65507;e.macute=7743;e.madeva=2350;e.magujarati=2734;e.magurmukhi=2606;e.mahapakhhebrew=1444;e.mahapakhlefthebrew=1444;e.mahiragana=12414;e.maichattawalowleftthai=63637;e.maichattawalowrightthai=63636;e.maichattawathai=3659;e.maichattawaupperleftthai=63635;e.maieklowleftthai=63628;e.maieklowrightthai=63627;e.maiekthai=\ +3656;e.maiekupperleftthai=63626;e.maihanakatleftthai=63620;e.maihanakatthai=3633;e.maitaikhuleftthai=63625;e.maitaikhuthai=3655;e.maitholowleftthai=63631;e.maitholowrightthai=63630;e.maithothai=3657;e.maithoupperleftthai=63629;e.maitrilowleftthai=63634;e.maitrilowrightthai=63633;e.maitrithai=3658;e.maitriupperleftthai=63632;e.maiyamokthai=3654;e.makatakana=12510;e.makatakanahalfwidth=65423;e.male=9794;e.mansyonsquare=13127;e.maqafhebrew=1470;e.mars=9794;e.masoracirclehebrew=1455;e.masquare=13187\ +;e.mbopomofo=12551;e.mbsquare=13268;e.mcircle=9436;e.mcubedsquare=13221;e.mdotaccent=7745;e.mdotbelow=7747;e.meemarabic=1605;e.meemfinalarabic=65250;e.meeminitialarabic=65251;e.meemmedialarabic=65252;e.meemmeeminitialarabic=64721;e.meemmeemisolatedarabic=64584;e.meetorusquare=13133;e.mehiragana=12417;e.meizierasquare=13182;e.mekatakana=12513;e.mekatakanahalfwidth=65426;e.mem=1502;e.memdagesh=64318;e.memdageshhebrew=64318;e.memhebrew=1502;e.menarmenian=1396;e.merkhahebrew=1445;e.merkhakefulahebre\ +w=1446;e.merkhakefulalefthebrew=1446;e.merkhalefthebrew=1445;e.mhook=625;e.mhzsquare=13202;e.middledotkatakanahalfwidth=65381;e.middot=183;e.mieumacirclekorean=12914;e.mieumaparenkorean=12818;e.mieumcirclekorean=12900;e.mieumkorean=12609;e.mieumpansioskorean=12656;e.mieumparenkorean=12804;e.mieumpieupkorean=12654;e.mieumsioskorean=12655;e.mihiragana=12415;e.mikatakana=12511;e.mikatakanahalfwidth=65424;e.minus=8722;e.minusbelowcmb=800;e.minuscircle=8854;e.minusmod=727;e.minusplus=8723;e.minute=82\ +42;e.miribaarusquare=13130;e.mirisquare=13129;e.mlonglegturned=624;e.mlsquare=13206;e.mmcubedsquare=13219;e.mmonospace=65357;e.mmsquaredsquare=13215;e.mohiragana=12418;e.mohmsquare=13249;e.mokatakana=12514;e.mokatakanahalfwidth=65427;e.molsquare=13270;e.momathai=3617;e.moverssquare=13223;e.moverssquaredsquare=13224;e.mparen=9384;e.mpasquare=13227;e.mssquare=13235;e.msuperior=63215;e.mturned=623;e.mu=181;e.mu1=181;e.muasquare=13186;e.muchgreater=8811;e.muchless=8810;e.mufsquare=13196;e.mugreek=95\ +6;e.mugsquare=13197;e.muhiragana=12416;e.mukatakana=12512;e.mukatakanahalfwidth=65425;e.mulsquare=13205;e.multiply=215;e.mumsquare=13211;e.munahhebrew=1443;e.munahlefthebrew=1443;e.musicalnote=9834;e.musicalnotedbl=9835;e.musicflatsign=9837;e.musicsharpsign=9839;e.mussquare=13234;e.muvsquare=13238;e.muwsquare=13244;e.mvmegasquare=13241;e.mvsquare=13239;e.mwmegasquare=13247;e.mwsquare=13245;e.n=110;e.nabengali=2472;e.nabla=8711;e.nacute=324;e.nadeva=2344;e.nagujarati=2728;e.nagurmukhi=2600;e.nahi\ +ragana=12394;e.nakatakana=12490;e.nakatakanahalfwidth=65413;e.napostrophe=329;e.nasquare=13185;e.nbopomofo=12555;e.nbspace=160;e.ncaron=328;e.ncedilla=326;e.ncircle=9437;e.ncircumflexbelow=7755;e.ncommaaccent=326;e.ndotaccent=7749;e.ndotbelow=7751;e.nehiragana=12397;e.nekatakana=12493;e.nekatakanahalfwidth=65416;e.newsheqelsign=8362;e.nfsquare=13195;e.ngabengali=2457;e.ngadeva=2329;e.ngagujarati=2713;e.ngagurmukhi=2585;e.ngonguthai=3591;e.nhiragana=12435;e.nhookleft=626;e.nhookretroflex=627;e.ni\ +eunacirclekorean=12911;e.nieunaparenkorean=12815;e.nieuncieuckorean=12597;e.nieuncirclekorean=12897;e.nieunhieuhkorean=12598;e.nieunkorean=12596;e.nieunpansioskorean=12648;e.nieunparenkorean=12801;e.nieunsioskorean=12647;e.nieuntikeutkorean=12646;e.nihiragana=12395;e.nikatakana=12491;e.nikatakanahalfwidth=65414;e.nikhahitleftthai=63641;e.nikhahitthai=3661;e.nine=57;e.ninearabic=1641;e.ninebengali=2543;e.ninecircle=9320;e.ninecircleinversesansserif=10130;e.ninedeva=2415;e.ninegujarati=2799;e.nine\ +gurmukhi=2671;e.ninehackarabic=1641;e.ninehangzhou=12329;e.nineideographicparen=12840;e.nineinferior=8329;e.ninemonospace=65305;e.nineoldstyle=63289;e.nineparen=9340;e.nineperiod=9360;e.ninepersian=1785;e.nineroman=8568;e.ninesuperior=8313;e.nineteencircle=9330;e.nineteenparen=9350;e.nineteenperiod=9370;e.ninethai=3673;e.nj=460;e.njecyrillic=1114;e.nkatakana=12531;e.nkatakanahalfwidth=65437;e.nlegrightlong=414;e.nlinebelow=7753;e.nmonospace=65358;e.nmsquare=13210;e.nnabengali=2467;e.nnadeva=2339\ +;e.nnagujarati=2723;e.nnagurmukhi=2595;e.nnnadeva=2345;e.nohiragana=12398;e.nokatakana=12494;e.nokatakanahalfwidth=65417;e.nonbreakingspace=160;e.nonenthai=3603;e.nonuthai=3609;e.noonarabic=1606;e.noonfinalarabic=65254;e.noonghunnaarabic=1722;e.noonghunnafinalarabic=64415;e.nooninitialarabic=65255;e.noonjeeminitialarabic=64722;e.noonjeemisolatedarabic=64587;e.noonmedialarabic=65256;e.noonmeeminitialarabic=64725;e.noonmeemisolatedarabic=64590;e.noonnoonfinalarabic=64653;e.notcontains=8716;e.notel\ +ement=8713;e.notelementof=8713;e.notequal=8800;e.notgreater=8815;e.notgreaternorequal=8817;e.notgreaternorless=8825;e.notidentical=8802;e.notless=8814;e.notlessnorequal=8816;e.notparallel=8742;e.notprecedes=8832;e.notsubset=8836;e.notsucceeds=8833;e.notsuperset=8837;e.nowarmenian=1398;e.nparen=9385;e.nssquare=13233;e.nsuperior=8319;e.ntilde=241;e.nu=957;e.nuhiragana=12396;e.nukatakana=12492;e.nukatakanahalfwidth=65415;e.nuktabengali=2492;e.nuktadeva=2364;e.nuktagujarati=2748;e.nuktagurmukhi=2620\ +;e.numbersign=35;e.numbersignmonospace=65283;e.numbersignsmall=65119;e.numeralsigngreek=884;e.numeralsignlowergreek=885;e.numero=8470;e.nun=1504;e.nundagesh=64320;e.nundageshhebrew=64320;e.nunhebrew=1504;e.nvsquare=13237;e.nwsquare=13243;e.nyabengali=2462;e.nyadeva=2334;e.nyagujarati=2718;e.nyagurmukhi=2590;e.o=111;e.oacute=243;e.oangthai=3629;e.obarred=629;e.obarredcyrillic=1257;e.obarreddieresiscyrillic=1259;e.obengali=2451;e.obopomofo=12571;e.obreve=335;e.ocandradeva=2321;e.ocandragujarati=27\ +05;e.ocandravowelsigndeva=2377;e.ocandravowelsigngujarati=2761;e.ocaron=466;e.ocircle=9438;e.ocircumflex=244;e.ocircumflexacute=7889;e.ocircumflexdotbelow=7897;e.ocircumflexgrave=7891;e.ocircumflexhookabove=7893;e.ocircumflextilde=7895;e.ocyrillic=1086;e.odblacute=337;e.odblgrave=525;e.odeva=2323;e.odieresis=246;e.odieresiscyrillic=1255;e.odotbelow=7885;e.oe=339;e.oekorean=12634;e.ogonek=731;e.ogonekcmb=808;e.ograve=242;e.ogujarati=2707;e.oharmenian=1413;e.ohiragana=12362;e.ohookabove=7887;e.oho\ +rn=417;e.ohornacute=7899;e.ohorndotbelow=7907;e.ohorngrave=7901;e.ohornhookabove=7903;e.ohorntilde=7905;e.ohungarumlaut=337;e.oi=419;e.oinvertedbreve=527;e.okatakana=12458;e.okatakanahalfwidth=65397;e.okorean=12631;e.olehebrew=1451;e.omacron=333;e.omacronacute=7763;e.omacrongrave=7761;e.omdeva=2384;e.omega=969;e.omega1=982;e.omegacyrillic=1121;e.omegalatinclosed=631;e.omegaroundcyrillic=1147;e.omegatitlocyrillic=1149;e.omegatonos=974;e.omgujarati=2768;e.omicron=959;e.omicrontonos=972;e.omonospac\ +e=65359;e.one=49;e.onearabic=1633;e.onebengali=2535;e.onecircle=9312;e.onecircleinversesansserif=10122;e.onedeva=2407;e.onedotenleader=8228;e.oneeighth=8539;e.onefitted=63196;e.onegujarati=2791;e.onegurmukhi=2663;e.onehackarabic=1633;e.onehalf=189;e.onehangzhou=12321;e.oneideographicparen=12832;e.oneinferior=8321;e.onemonospace=65297;e.onenumeratorbengali=2548;e.oneoldstyle=63281;e.oneparen=9332;e.oneperiod=9352;e.onepersian=1777;e.onequarter=188;e.oneroman=8560;e.onesuperior=185;e.onethai=3665;\ +e.onethird=8531;e.oogonek=491;e.oogonekmacron=493;e.oogurmukhi=2579;e.oomatragurmukhi=2635;e.oopen=596;e.oparen=9386;e.openbullet=9702;e.option=8997;e.ordfeminine=170;e.ordmasculine=186;e.orthogonal=8735;e.oshortdeva=2322;e.oshortvowelsigndeva=2378;e.oslash=248;e.oslashacute=511;e.osmallhiragana=12361;e.osmallkatakana=12457;e.osmallkatakanahalfwidth=65387;e.ostrokeacute=511;e.osuperior=63216;e.otcyrillic=1151;e.otilde=245;e.otildeacute=7757;e.otildedieresis=7759;e.oubopomofo=12577;e.overline=825\ +4;e.overlinecenterline=65098;e.overlinecmb=773;e.overlinedashed=65097;e.overlinedblwavy=65100;e.overlinewavy=65099;e.overscore=175;e.ovowelsignbengali=2507;e.ovowelsigndeva=2379;e.ovowelsigngujarati=2763;e.p=112;e.paampssquare=13184;e.paasentosquare=13099;e.pabengali=2474;e.pacute=7765;e.padeva=2346;e.pagedown=8671;e.pageup=8670;e.pagujarati=2730;e.pagurmukhi=2602;e.pahiragana=12401;e.paiyannoithai=3631;e.pakatakana=12497;e.palatalizationcyrilliccmb=1156;e.palochkacyrillic=1216;e.pansioskorean=1\ +2671;e.paragraph=182;e.parallel=8741;e.parenleft=40;e.parenleftaltonearabic=64830;e.parenleftbt=63725;e.parenleftex=63724;e.parenleftinferior=8333;e.parenleftmonospace=65288;e.parenleftsmall=65113;e.parenleftsuperior=8317;e.parenlefttp=63723;e.parenleftvertical=65077;e.parenright=41;e.parenrightaltonearabic=64831;e.parenrightbt=63736;e.parenrightex=63735;e.parenrightinferior=8334;e.parenrightmonospace=65289;e.parenrightsmall=65114;e.parenrightsuperior=8318;e.parenrighttp=63734;e.parenrightvertic\ +al=65078;e.partialdiff=8706;e.paseqhebrew=1472;e.pashtahebrew=1433;e.pasquare=13225;e.patah=1463;e.patah11=1463;e.patah1d=1463;e.patah2a=1463;e.patahhebrew=1463;e.patahnarrowhebrew=1463;e.patahquarterhebrew=1463;e.patahwidehebrew=1463;e.pazerhebrew=1441;e.pbopomofo=12550;e.pcircle=9439;e.pdotaccent=7767;e.pe=1508;e.pecyrillic=1087;e.pedagesh=64324;e.pedageshhebrew=64324;e.peezisquare=13115;e.pefinaldageshhebrew=64323;e.peharabic=1662;e.peharmenian=1402;e.pehebrew=1508;e.pehfinalarabic=64343;e.pe\ +hinitialarabic=64344;e.pehiragana=12410;e.pehmedialarabic=64345;e.pekatakana=12506;e.pemiddlehookcyrillic=1191;e.perafehebrew=64334;e.percent=37;e.percentarabic=1642;e.percentmonospace=65285;e.percentsmall=65130;e.period=46;e.periodarmenian=1417;e.periodcentered=183;e.periodhalfwidth=65377;e.periodinferior=63207;e.periodmonospace=65294;e.periodsmall=65106;e.periodsuperior=63208;e.perispomenigreekcmb=834;e.perpendicular=8869;e.perthousand=8240;e.peseta=8359;e.pfsquare=13194;e.phabengali=2475;e.ph\ +adeva=2347;e.phagujarati=2731;e.phagurmukhi=2603;e.phi=966;e.phi1=981;e.phieuphacirclekorean=12922;e.phieuphaparenkorean=12826;e.phieuphcirclekorean=12908;e.phieuphkorean=12621;e.phieuphparenkorean=12812;e.philatin=632;e.phinthuthai=3642;e.phisymbolgreek=981;e.phook=421;e.phophanthai=3614;e.phophungthai=3612;e.phosamphaothai=3616;e.pi=960;e.pieupacirclekorean=12915;e.pieupaparenkorean=12819;e.pieupcieuckorean=12662;e.pieupcirclekorean=12901;e.pieupkiyeokkorean=12658;e.pieupkorean=12610;e.pieuppa\ +renkorean=12805;e.pieupsioskiyeokkorean=12660;e.pieupsioskorean=12612;e.pieupsiostikeutkorean=12661;e.pieupthieuthkorean=12663;e.pieuptikeutkorean=12659;e.pihiragana=12404;e.pikatakana=12500;e.pisymbolgreek=982;e.piwrarmenian=1411;e.planckover2pi=8463;e.planckover2pi1=8463;e.plus=43;e.plusbelowcmb=799;e.pluscircle=8853;e.plusminus=177;e.plusmod=726;e.plusmonospace=65291;e.plussmall=65122;e.plussuperior=8314;e.pmonospace=65360;e.pmsquare=13272;e.pohiragana=12413;e.pointingindexdownwhite=9759;e.po\ +intingindexleftwhite=9756;e.pointingindexrightwhite=9758;e.pointingindexupwhite=9757;e.pokatakana=12509;e.poplathai=3611;e.postalmark=12306;e.postalmarkface=12320;e.pparen=9387;e.precedes=8826;e.prescription=8478;e.primemod=697;e.primereversed=8245;e.product=8719;e.projective=8965;e.prolongedkana=12540;e.propellor=8984;e.propersubset=8834;e.propersuperset=8835;e.proportion=8759;e.proportional=8733;e.psi=968;e.psicyrillic=1137;e.psilipneumatacyrilliccmb=1158;e.pssquare=13232;e.puhiragana=12407;e.\ +pukatakana=12503;e.pvsquare=13236;e.pwsquare=13242;e.q=113;e.qadeva=2392;e.qadmahebrew=1448;e.qafarabic=1602;e.qaffinalarabic=65238;e.qafinitialarabic=65239;e.qafmedialarabic=65240;e.qamats=1464;e.qamats10=1464;e.qamats1a=1464;e.qamats1c=1464;e.qamats27=1464;e.qamats29=1464;e.qamats33=1464;e.qamatsde=1464;e.qamatshebrew=1464;e.qamatsnarrowhebrew=1464;e.qamatsqatanhebrew=1464;e.qamatsqatannarrowhebrew=1464;e.qamatsqatanquarterhebrew=1464;e.qamatsqatanwidehebrew=1464;e.qamatsquarterhebrew=1464;e.q\ +amatswidehebrew=1464;e.qarneyparahebrew=1439;e.qbopomofo=12561;e.qcircle=9440;e.qhook=672;e.qmonospace=65361;e.qof=1511;e.qofdagesh=64327;e.qofdageshhebrew=64327;e.qofhebrew=1511;e.qparen=9388;e.quarternote=9833;e.qubuts=1467;e.qubuts18=1467;e.qubuts25=1467;e.qubuts31=1467;e.qubutshebrew=1467;e.qubutsnarrowhebrew=1467;e.qubutsquarterhebrew=1467;e.qubutswidehebrew=1467;e.question=63;e.questionarabic=1567;e.questionarmenian=1374;e.questiondown=191;e.questiondownsmall=63423;e.questiongreek=894;e.qu\ +estionmonospace=65311;e.questionsmall=63295;e.quotedbl=34;e.quotedblbase=8222;e.quotedblleft=8220;e.quotedblmonospace=65282;e.quotedblprime=12318;e.quotedblprimereversed=12317;e.quotedblright=8221;e.quoteleft=8216;e.quoteleftreversed=8219;e.quotereversed=8219;e.quoteright=8217;e.quoterightn=329;e.quotesinglbase=8218;e.quotesingle=39;e.quotesinglemonospace=65287;e.r=114;e.raarmenian=1404;e.rabengali=2480;e.racute=341;e.radeva=2352;e.radical=8730;e.radicalex=63717;e.radoverssquare=13230;e.radovers\ +squaredsquare=13231;e.radsquare=13229;e.rafe=1471;e.rafehebrew=1471;e.ragujarati=2736;e.ragurmukhi=2608;e.rahiragana=12425;e.rakatakana=12521;e.rakatakanahalfwidth=65431;e.ralowerdiagonalbengali=2545;e.ramiddlediagonalbengali=2544;e.ramshorn=612;e.ratio=8758;e.rbopomofo=12566;e.rcaron=345;e.rcedilla=343;e.rcircle=9441;e.rcommaaccent=343;e.rdblgrave=529;e.rdotaccent=7769;e.rdotbelow=7771;e.rdotbelowmacron=7773;e.referencemark=8251;e.reflexsubset=8838;e.reflexsuperset=8839;e.registered=174;e.regis\ +tersans=63720;e.registerserif=63194;e.reharabic=1585;e.reharmenian=1408;e.rehfinalarabic=65198;e.rehiragana=12428;e.rekatakana=12524;e.rekatakanahalfwidth=65434;e.resh=1512;e.reshdageshhebrew=64328;e.reshhebrew=1512;e.reversedtilde=8765;e.reviahebrew=1431;e.reviamugrashhebrew=1431;e.revlogicalnot=8976;e.rfishhook=638;e.rfishhookreversed=639;e.rhabengali=2525;e.rhadeva=2397;e.rho=961;e.rhook=637;e.rhookturned=635;e.rhookturnedsuperior=693;e.rhosymbolgreek=1009;e.rhotichookmod=734;e.rieulacircleko\ +rean=12913;e.rieulaparenkorean=12817;e.rieulcirclekorean=12899;e.rieulhieuhkorean=12608;e.rieulkiyeokkorean=12602;e.rieulkiyeoksioskorean=12649;e.rieulkorean=12601;e.rieulmieumkorean=12603;e.rieulpansioskorean=12652;e.rieulparenkorean=12803;e.rieulphieuphkorean=12607;e.rieulpieupkorean=12604;e.rieulpieupsioskorean=12651;e.rieulsioskorean=12605;e.rieulthieuthkorean=12606;e.rieultikeutkorean=12650;e.rieulyeorinhieuhkorean=12653;e.rightangle=8735;e.righttackbelowcmb=793;e.righttriangle=8895;e.rihir\ +agana=12426;e.rikatakana=12522;e.rikatakanahalfwidth=65432;e.ring=730;e.ringbelowcmb=805;e.ringcmb=778;e.ringhalfleft=703;e.ringhalfleftarmenian=1369;e.ringhalfleftbelowcmb=796;e.ringhalfleftcentered=723;e.ringhalfright=702;e.ringhalfrightbelowcmb=825;e.ringhalfrightcentered=722;e.rinvertedbreve=531;e.rittorusquare=13137;e.rlinebelow=7775;e.rlongleg=636;e.rlonglegturned=634;e.rmonospace=65362;e.rohiragana=12429;e.rokatakana=12525;e.rokatakanahalfwidth=65435;e.roruathai=3619;e.rparen=9389;e.rrabe\ +ngali=2524;e.rradeva=2353;e.rragurmukhi=2652;e.rreharabic=1681;e.rrehfinalarabic=64397;e.rrvocalicbengali=2528;e.rrvocalicdeva=2400;e.rrvocalicgujarati=2784;e.rrvocalicvowelsignbengali=2500;e.rrvocalicvowelsigndeva=2372;e.rrvocalicvowelsigngujarati=2756;e.rsuperior=63217;e.rtblock=9616;e.rturned=633;e.rturnedsuperior=692;e.ruhiragana=12427;e.rukatakana=12523;e.rukatakanahalfwidth=65433;e.rupeemarkbengali=2546;e.rupeesignbengali=2547;e.rupiah=63197;e.ruthai=3620;e.rvocalicbengali=2443;e.rvocalicd\ +eva=2315;e.rvocalicgujarati=2699;e.rvocalicvowelsignbengali=2499;e.rvocalicvowelsigndeva=2371;e.rvocalicvowelsigngujarati=2755;e.s=115;e.sabengali=2488;e.sacute=347;e.sacutedotaccent=7781;e.sadarabic=1589;e.sadeva=2360;e.sadfinalarabic=65210;e.sadinitialarabic=65211;e.sadmedialarabic=65212;e.sagujarati=2744;e.sagurmukhi=2616;e.sahiragana=12373;e.sakatakana=12469;e.sakatakanahalfwidth=65403;e.sallallahoualayhewasallamarabic=65018;e.samekh=1505;e.samekhdagesh=64321;e.samekhdageshhebrew=64321;e.sam\ +ekhhebrew=1505;e.saraaathai=3634;e.saraaethai=3649;e.saraaimaimalaithai=3652;e.saraaimaimuanthai=3651;e.saraamthai=3635;e.saraathai=3632;e.saraethai=3648;e.saraiileftthai=63622;e.saraiithai=3637;e.saraileftthai=63621;e.saraithai=3636;e.saraothai=3650;e.saraueeleftthai=63624;e.saraueethai=3639;e.saraueleftthai=63623;e.sarauethai=3638;e.sarauthai=3640;e.sarauuthai=3641;e.sbopomofo=12569;e.scaron=353;e.scarondotaccent=7783;e.scedilla=351;e.schwa=601;e.schwacyrillic=1241;e.schwadieresiscyrillic=1243\ +;e.schwahook=602;e.scircle=9442;e.scircumflex=349;e.scommaaccent=537;e.sdotaccent=7777;e.sdotbelow=7779;e.sdotbelowdotaccent=7785;e.seagullbelowcmb=828;e.second=8243;e.secondtonechinese=714;e.section=167;e.seenarabic=1587;e.seenfinalarabic=65202;e.seeninitialarabic=65203;e.seenmedialarabic=65204;e.segol=1462;e.segol13=1462;e.segol1f=1462;e.segol2c=1462;e.segolhebrew=1462;e.segolnarrowhebrew=1462;e.segolquarterhebrew=1462;e.segoltahebrew=1426;e.segolwidehebrew=1462;e.seharmenian=1405;e.sehiragana\ +=12379;e.sekatakana=12475;e.sekatakanahalfwidth=65406;e.semicolon=59;e.semicolonarabic=1563;e.semicolonmonospace=65307;e.semicolonsmall=65108;e.semivoicedmarkkana=12444;e.semivoicedmarkkanahalfwidth=65439;e.sentisquare=13090;e.sentosquare=13091;e.seven=55;e.sevenarabic=1639;e.sevenbengali=2541;e.sevencircle=9318;e.sevencircleinversesansserif=10128;e.sevendeva=2413;e.seveneighths=8542;e.sevengujarati=2797;e.sevengurmukhi=2669;e.sevenhackarabic=1639;e.sevenhangzhou=12327;e.sevenideographicparen=12\ +838;e.seveninferior=8327;e.sevenmonospace=65303;e.sevenoldstyle=63287;e.sevenparen=9338;e.sevenperiod=9358;e.sevenpersian=1783;e.sevenroman=8566;e.sevensuperior=8311;e.seventeencircle=9328;e.seventeenparen=9348;e.seventeenperiod=9368;e.seventhai=3671;e.sfthyphen=173;e.shaarmenian=1399;e.shabengali=2486;e.shacyrillic=1096;e.shaddaarabic=1617;e.shaddadammaarabic=64609;e.shaddadammatanarabic=64606;e.shaddafathaarabic=64608;e.shaddakasraarabic=64610;e.shaddakasratanarabic=64607;e.shade=9618;e.shaded\ +ark=9619;e.shadelight=9617;e.shademedium=9618;e.shadeva=2358;e.shagujarati=2742;e.shagurmukhi=2614;e.shalshelethebrew=1427;e.shbopomofo=12565;e.shchacyrillic=1097;e.sheenarabic=1588;e.sheenfinalarabic=65206;e.sheeninitialarabic=65207;e.sheenmedialarabic=65208;e.sheicoptic=995;e.sheqel=8362;e.sheqelhebrew=8362;e.sheva=1456;e.sheva115=1456;e.sheva15=1456;e.sheva22=1456;e.sheva2e=1456;e.shevahebrew=1456;e.shevanarrowhebrew=1456;e.shevaquarterhebrew=1456;e.shevawidehebrew=1456;e.shhacyrillic=1211;e.\ +shimacoptic=1005;e.shin=1513;e.shindagesh=64329;e.shindageshhebrew=64329;e.shindageshshindot=64300;e.shindageshshindothebrew=64300;e.shindageshsindot=64301;e.shindageshsindothebrew=64301;e.shindothebrew=1473;e.shinhebrew=1513;e.shinshindot=64298;e.shinshindothebrew=64298;e.shinsindot=64299;e.shinsindothebrew=64299;e.shook=642;e.sigma=963;e.sigma1=962;e.sigmafinal=962;e.sigmalunatesymbolgreek=1010;e.sihiragana=12375;e.sikatakana=12471;e.sikatakanahalfwidth=65404;e.siluqhebrew=1469;e.siluqlefthebr\ +ew=1469;e.similar=8764;e.sindothebrew=1474;e.siosacirclekorean=12916;e.siosaparenkorean=12820;e.sioscieuckorean=12670;e.sioscirclekorean=12902;e.sioskiyeokkorean=12666;e.sioskorean=12613;e.siosnieunkorean=12667;e.siosparenkorean=12806;e.siospieupkorean=12669;e.siostikeutkorean=12668;e.six=54;e.sixarabic=1638;e.sixbengali=2540;e.sixcircle=9317;e.sixcircleinversesansserif=10127;e.sixdeva=2412;e.sixgujarati=2796;e.sixgurmukhi=2668;e.sixhackarabic=1638;e.sixhangzhou=12326;e.sixideographicparen=12837\ +;e.sixinferior=8326;e.sixmonospace=65302;e.sixoldstyle=63286;e.sixparen=9337;e.sixperiod=9357;e.sixpersian=1782;e.sixroman=8565;e.sixsuperior=8310;e.sixteencircle=9327;e.sixteencurrencydenominatorbengali=2553;e.sixteenparen=9347;e.sixteenperiod=9367;e.sixthai=3670;e.slash=47;e.slashmonospace=65295;e.slong=383;e.slongdotaccent=7835;e.smileface=9786;e.smonospace=65363;e.sofpasuqhebrew=1475;e.softhyphen=173;e.softsigncyrillic=1100;e.sohiragana=12381;e.sokatakana=12477;e.sokatakanahalfwidth=65407;e.\ +soliduslongoverlaycmb=824;e.solidusshortoverlaycmb=823;e.sorusithai=3625;e.sosalathai=3624;e.sosothai=3595;e.sosuathai=3626;e.space=32;e.spacehackarabic=32;e.spade=9824;e.spadesuitblack=9824;e.spadesuitwhite=9828;e.sparen=9390;e.squarebelowcmb=827;e.squarecc=13252;e.squarecm=13213;e.squarediagonalcrosshatchfill=9641;e.squarehorizontalfill=9636;e.squarekg=13199;e.squarekm=13214;e.squarekmcapital=13262;e.squareln=13265;e.squarelog=13266;e.squaremg=13198;e.squaremil=13269;e.squaremm=13212;e.squarem\ +squared=13217;e.squareorthogonalcrosshatchfill=9638;e.squareupperlefttolowerrightfill=9639;e.squareupperrighttolowerleftfill=9640;e.squareverticalfill=9637;e.squarewhitewithsmallblack=9635;e.srsquare=13275;e.ssabengali=2487;e.ssadeva=2359;e.ssagujarati=2743;e.ssangcieuckorean=12617;e.ssanghieuhkorean=12677;e.ssangieungkorean=12672;e.ssangkiyeokkorean=12594;e.ssangnieunkorean=12645;e.ssangpieupkorean=12611;e.ssangsioskorean=12614;e.ssangtikeutkorean=12600;e.ssuperior=63218;e.sterling=163;e.sterli\ +ngmonospace=65505;e.strokelongoverlaycmb=822;e.strokeshortoverlaycmb=821;e.subset=8834;e.subsetnotequal=8842;e.subsetorequal=8838;e.succeeds=8827;e.suchthat=8715;e.suhiragana=12377;e.sukatakana=12473;e.sukatakanahalfwidth=65405;e.sukunarabic=1618;e.summation=8721;e.sun=9788;e.superset=8835;e.supersetnotequal=8843;e.supersetorequal=8839;e.svsquare=13276;e.syouwaerasquare=13180;e.t=116;e.tabengali=2468;e.tackdown=8868;e.tackleft=8867;e.tadeva=2340;e.tagujarati=2724;e.tagurmukhi=2596;e.taharabic=15\ +91;e.tahfinalarabic=65218;e.tahinitialarabic=65219;e.tahiragana=12383;e.tahmedialarabic=65220;e.taisyouerasquare=13181;e.takatakana=12479;e.takatakanahalfwidth=65408;e.tatweelarabic=1600;e.tau=964;e.tav=1514;e.tavdages=64330;e.tavdagesh=64330;e.tavdageshhebrew=64330;e.tavhebrew=1514;e.tbar=359;e.tbopomofo=12554;e.tcaron=357;e.tccurl=680;e.tcedilla=355;e.tcheharabic=1670;e.tchehfinalarabic=64379;e.tchehinitialarabic=64380;e.tchehmedialarabic=64381;e.tcircle=9443;e.tcircumflexbelow=7793;e.tcommaac\ +cent=355;e.tdieresis=7831;e.tdotaccent=7787;e.tdotbelow=7789;e.tecyrillic=1090;e.tedescendercyrillic=1197;e.teharabic=1578;e.tehfinalarabic=65174;e.tehhahinitialarabic=64674;e.tehhahisolatedarabic=64524;e.tehinitialarabic=65175;e.tehiragana=12390;e.tehjeeminitialarabic=64673;e.tehjeemisolatedarabic=64523;e.tehmarbutaarabic=1577;e.tehmarbutafinalarabic=65172;e.tehmedialarabic=65176;e.tehmeeminitialarabic=64676;e.tehmeemisolatedarabic=64526;e.tehnoonfinalarabic=64627;e.tekatakana=12486;e.tekatakan\ +ahalfwidth=65411;e.telephone=8481;e.telephoneblack=9742;e.telishagedolahebrew=1440;e.telishaqetanahebrew=1449;e.tencircle=9321;e.tenideographicparen=12841;e.tenparen=9341;e.tenperiod=9361;e.tenroman=8569;e.tesh=679;e.tet=1496;e.tetdagesh=64312;e.tetdageshhebrew=64312;e.tethebrew=1496;e.tetsecyrillic=1205;e.tevirhebrew=1435;e.tevirlefthebrew=1435;e.thabengali=2469;e.thadeva=2341;e.thagujarati=2725;e.thagurmukhi=2597;e.thalarabic=1584;e.thalfinalarabic=65196;e.thanthakhatlowleftthai=63640;e.thanth\ +akhatlowrightthai=63639;e.thanthakhatthai=3660;e.thanthakhatupperleftthai=63638;e.theharabic=1579;e.thehfinalarabic=65178;e.thehinitialarabic=65179;e.thehmedialarabic=65180;e.thereexists=8707;e.therefore=8756;e.theta=952;e.theta1=977;e.thetasymbolgreek=977;e.thieuthacirclekorean=12921;e.thieuthaparenkorean=12825;e.thieuthcirclekorean=12907;e.thieuthkorean=12620;e.thieuthparenkorean=12811;e.thirteencircle=9324;e.thirteenparen=9344;e.thirteenperiod=9364;e.thonangmonthothai=3601;e.thook=429;e.thoph\ +uthaothai=3602;e.thorn=254;e.thothahanthai=3607;e.thothanthai=3600;e.thothongthai=3608;e.thothungthai=3606;e.thousandcyrillic=1154;e.thousandsseparatorarabic=1644;e.thousandsseparatorpersian=1644;e.three=51;e.threearabic=1635;e.threebengali=2537;e.threecircle=9314;e.threecircleinversesansserif=10124;e.threedeva=2409;e.threeeighths=8540;e.threegujarati=2793;e.threegurmukhi=2665;e.threehackarabic=1635;e.threehangzhou=12323;e.threeideographicparen=12834;e.threeinferior=8323;e.threemonospace=65299;e\ +.threenumeratorbengali=2550;e.threeoldstyle=63283;e.threeparen=9334;e.threeperiod=9354;e.threepersian=1779;e.threequarters=190;e.threequartersemdash=63198;e.threeroman=8562;e.threesuperior=179;e.threethai=3667;e.thzsquare=13204;e.tihiragana=12385;e.tikatakana=12481;e.tikatakanahalfwidth=65409;e.tikeutacirclekorean=12912;e.tikeutaparenkorean=12816;e.tikeutcirclekorean=12898;e.tikeutkorean=12599;e.tikeutparenkorean=12802;e.tilde=732;e.tildebelowcmb=816;e.tildecmb=771;e.tildecomb=771;e.tildedoublec\ +mb=864;e.tildeoperator=8764;e.tildeoverlaycmb=820;e.tildeverticalcmb=830;e.timescircle=8855;e.tipehahebrew=1430;e.tipehalefthebrew=1430;e.tippigurmukhi=2672;e.titlocyrilliccmb=1155;e.tiwnarmenian=1407;e.tlinebelow=7791;e.tmonospace=65364;e.toarmenian=1385;e.tohiragana=12392;e.tokatakana=12488;e.tokatakanahalfwidth=65412;e.tonebarextrahighmod=741;e.tonebarextralowmod=745;e.tonebarhighmod=742;e.tonebarlowmod=744;e.tonebarmidmod=743;e.tonefive=445;e.tonesix=389;e.tonetwo=424;e.tonos=900;e.tonsquare\ +=13095;e.topatakthai=3599;e.tortoiseshellbracketleft=12308;e.tortoiseshellbracketleftsmall=65117;e.tortoiseshellbracketleftvertical=65081;e.tortoiseshellbracketright=12309;e.tortoiseshellbracketrightsmall=65118;e.tortoiseshellbracketrightvertical=65082;e.totaothai=3605;e.tpalatalhook=427;e.tparen=9391;e.trademark=8482;e.trademarksans=63722;e.trademarkserif=63195;e.tretroflexhook=648;e.triagdn=9660;e.triaglf=9668;e.triagrt=9658;e.triagup=9650;e.ts=678;e.tsadi=1510;e.tsadidagesh=64326;e.tsadidages\ +hhebrew=64326;e.tsadihebrew=1510;e.tsecyrillic=1094;e.tsere=1461;e.tsere12=1461;e.tsere1e=1461;e.tsere2b=1461;e.tserehebrew=1461;e.tserenarrowhebrew=1461;e.tserequarterhebrew=1461;e.tserewidehebrew=1461;e.tshecyrillic=1115;e.tsuperior=63219;e.ttabengali=2463;e.ttadeva=2335;e.ttagujarati=2719;e.ttagurmukhi=2591;e.tteharabic=1657;e.ttehfinalarabic=64359;e.ttehinitialarabic=64360;e.ttehmedialarabic=64361;e.tthabengali=2464;e.tthadeva=2336;e.tthagujarati=2720;e.tthagurmukhi=2592;e.tturned=647;e.tuhi\ +ragana=12388;e.tukatakana=12484;e.tukatakanahalfwidth=65410;e.tusmallhiragana=12387;e.tusmallkatakana=12483;e.tusmallkatakanahalfwidth=65391;e.twelvecircle=9323;e.twelveparen=9343;e.twelveperiod=9363;e.twelveroman=8571;e.twentycircle=9331;e.twentyhangzhou=21316;e.twentyparen=9351;e.twentyperiod=9371;e.two=50;e.twoarabic=1634;e.twobengali=2536;e.twocircle=9313;e.twocircleinversesansserif=10123;e.twodeva=2408;e.twodotenleader=8229;e.twodotleader=8229;e.twodotleadervertical=65072;e.twogujarati=2792\ +;e.twogurmukhi=2664;e.twohackarabic=1634;e.twohangzhou=12322;e.twoideographicparen=12833;e.twoinferior=8322;e.twomonospace=65298;e.twonumeratorbengali=2549;e.twooldstyle=63282;e.twoparen=9333;e.twoperiod=9353;e.twopersian=1778;e.tworoman=8561;e.twostroke=443;e.twosuperior=178;e.twothai=3666;e.twothirds=8532;e.u=117;e.uacute=250;e.ubar=649;e.ubengali=2441;e.ubopomofo=12584;e.ubreve=365;e.ucaron=468;e.ucircle=9444;e.ucircumflex=251;e.ucircumflexbelow=7799;e.ucyrillic=1091;e.udattadeva=2385;e.udbla\ +cute=369;e.udblgrave=533;e.udeva=2313;e.udieresis=252;e.udieresisacute=472;e.udieresisbelow=7795;e.udieresiscaron=474;e.udieresiscyrillic=1265;e.udieresisgrave=476;e.udieresismacron=470;e.udotbelow=7909;e.ugrave=249;e.ugujarati=2697;e.ugurmukhi=2569;e.uhiragana=12358;e.uhookabove=7911;e.uhorn=432;e.uhornacute=7913;e.uhorndotbelow=7921;e.uhorngrave=7915;e.uhornhookabove=7917;e.uhorntilde=7919;e.uhungarumlaut=369;e.uhungarumlautcyrillic=1267;e.uinvertedbreve=535;e.ukatakana=12454;e.ukatakanahalfwi\ +dth=65395;e.ukcyrillic=1145;e.ukorean=12636;e.umacron=363;e.umacroncyrillic=1263;e.umacrondieresis=7803;e.umatragurmukhi=2625;e.umonospace=65365;e.underscore=95;e.underscoredbl=8215;e.underscoremonospace=65343;e.underscorevertical=65075;e.underscorewavy=65103;e.union=8746;e.universal=8704;e.uogonek=371;e.uparen=9392;e.upblock=9600;e.upperdothebrew=1476;e.upsilon=965;e.upsilondieresis=971;e.upsilondieresistonos=944;e.upsilonlatin=650;e.upsilontonos=973;e.uptackbelowcmb=797;e.uptackmod=724;e.uragu\ +rmukhi=2675;e.uring=367;e.ushortcyrillic=1118;e.usmallhiragana=12357;e.usmallkatakana=12453;e.usmallkatakanahalfwidth=65385;e.ustraightcyrillic=1199;e.ustraightstrokecyrillic=1201;e.utilde=361;e.utildeacute=7801;e.utildebelow=7797;e.uubengali=2442;e.uudeva=2314;e.uugujarati=2698;e.uugurmukhi=2570;e.uumatragurmukhi=2626;e.uuvowelsignbengali=2498;e.uuvowelsigndeva=2370;e.uuvowelsigngujarati=2754;e.uvowelsignbengali=2497;e.uvowelsigndeva=2369;e.uvowelsigngujarati=2753;e.v=118;e.vadeva=2357;e.vaguja\ +rati=2741;e.vagurmukhi=2613;e.vakatakana=12535;e.vav=1493;e.vavdagesh=64309;e.vavdagesh65=64309;e.vavdageshhebrew=64309;e.vavhebrew=1493;e.vavholam=64331;e.vavholamhebrew=64331;e.vavvavhebrew=1520;e.vavyodhebrew=1521;e.vcircle=9445;e.vdotbelow=7807;e.vecyrillic=1074;e.veharabic=1700;e.vehfinalarabic=64363;e.vehinitialarabic=64364;e.vehmedialarabic=64365;e.vekatakana=12537;e.venus=9792;e.verticalbar=124;e.verticallineabovecmb=781;e.verticallinebelowcmb=809;e.verticallinelowmod=716;e.verticallinem\ +od=712;e.vewarmenian=1406;e.vhook=651;e.vikatakana=12536;e.viramabengali=2509;e.viramadeva=2381;e.viramagujarati=2765;e.visargabengali=2435;e.visargadeva=2307;e.visargagujarati=2691;e.vmonospace=65366;e.voarmenian=1400;e.voicediterationhiragana=12446;e.voicediterationkatakana=12542;e.voicedmarkkana=12443;e.voicedmarkkanahalfwidth=65438;e.vokatakana=12538;e.vparen=9393;e.vtilde=7805;e.vturned=652;e.vuhiragana=12436;e.vukatakana=12532;e.w=119;e.wacute=7811;e.waekorean=12633;e.wahiragana=12431;e.wa\ +katakana=12527;e.wakatakanahalfwidth=65436;e.wakorean=12632;e.wasmallhiragana=12430;e.wasmallkatakana=12526;e.wattosquare=13143;e.wavedash=12316;e.wavyunderscorevertical=65076;e.wawarabic=1608;e.wawfinalarabic=65262;e.wawhamzaabovearabic=1572;e.wawhamzaabovefinalarabic=65158;e.wbsquare=13277;e.wcircle=9446;e.wcircumflex=373;e.wdieresis=7813;e.wdotaccent=7815;e.wdotbelow=7817;e.wehiragana=12433;e.weierstrass=8472;e.wekatakana=12529;e.wekorean=12638;e.weokorean=12637;e.wgrave=7809;e.whitebullet=97\ +02;e.whitecircle=9675;e.whitecircleinverse=9689;e.whitecornerbracketleft=12302;e.whitecornerbracketleftvertical=65091;e.whitecornerbracketright=12303;e.whitecornerbracketrightvertical=65092;e.whitediamond=9671;e.whitediamondcontainingblacksmalldiamond=9672;e.whitedownpointingsmalltriangle=9663;e.whitedownpointingtriangle=9661;e.whiteleftpointingsmalltriangle=9667;e.whiteleftpointingtriangle=9665;e.whitelenticularbracketleft=12310;e.whitelenticularbracketright=12311;e.whiterightpointingsmalltrian\ +gle=9657;e.whiterightpointingtriangle=9655;e.whitesmallsquare=9643;e.whitesmilingface=9786;e.whitesquare=9633;e.whitestar=9734;e.whitetelephone=9743;e.whitetortoiseshellbracketleft=12312;e.whitetortoiseshellbracketright=12313;e.whiteuppointingsmalltriangle=9653;e.whiteuppointingtriangle=9651;e.wihiragana=12432;e.wikatakana=12528;e.wikorean=12639;e.wmonospace=65367;e.wohiragana=12434;e.wokatakana=12530;e.wokatakanahalfwidth=65382;e.won=8361;e.wonmonospace=65510;e.wowaenthai=3623;e.wparen=9394;e.w\ +ring=7832;e.wsuperior=695;e.wturned=653;e.wynn=447;e.x=120;e.xabovecmb=829;e.xbopomofo=12562;e.xcircle=9447;e.xdieresis=7821;e.xdotaccent=7819;e.xeharmenian=1389;e.xi=958;e.xmonospace=65368;e.xparen=9395;e.xsuperior=739;e.y=121;e.yaadosquare=13134;e.yabengali=2479;e.yacute=253;e.yadeva=2351;e.yaekorean=12626;e.yagujarati=2735;e.yagurmukhi=2607;e.yahiragana=12420;e.yakatakana=12516;e.yakatakanahalfwidth=65428;e.yakorean=12625;e.yamakkanthai=3662;e.yasmallhiragana=12419;e.yasmallkatakana=12515;e.y\ +asmallkatakanahalfwidth=65388;e.yatcyrillic=1123;e.ycircle=9448;e.ycircumflex=375;e.ydieresis=255;e.ydotaccent=7823;e.ydotbelow=7925;e.yeharabic=1610;e.yehbarreearabic=1746;e.yehbarreefinalarabic=64431;e.yehfinalarabic=65266;e.yehhamzaabovearabic=1574;e.yehhamzaabovefinalarabic=65162;e.yehhamzaaboveinitialarabic=65163;e.yehhamzaabovemedialarabic=65164;e.yehinitialarabic=65267;e.yehmedialarabic=65268;e.yehmeeminitialarabic=64733;e.yehmeemisolatedarabic=64600;e.yehnoonfinalarabic=64660;e.yehthreed\ +otsbelowarabic=1745;e.yekorean=12630;e.yen=165;e.yenmonospace=65509;e.yeokorean=12629;e.yeorinhieuhkorean=12678;e.yerahbenyomohebrew=1450;e.yerahbenyomolefthebrew=1450;e.yericyrillic=1099;e.yerudieresiscyrillic=1273;e.yesieungkorean=12673;e.yesieungpansioskorean=12675;e.yesieungsioskorean=12674;e.yetivhebrew=1434;e.ygrave=7923;e.yhook=436;e.yhookabove=7927;e.yiarmenian=1397;e.yicyrillic=1111;e.yikorean=12642;e.yinyang=9775;e.yiwnarmenian=1410;e.ymonospace=65369;e.yod=1497;e.yoddagesh=64313;e.yod\ +dageshhebrew=64313;e.yodhebrew=1497;e.yodyodhebrew=1522;e.yodyodpatahhebrew=64287;e.yohiragana=12424;e.yoikorean=12681;e.yokatakana=12520;e.yokatakanahalfwidth=65430;e.yokorean=12635;e.yosmallhiragana=12423;e.yosmallkatakana=12519;e.yosmallkatakanahalfwidth=65390;e.yotgreek=1011;e.yoyaekorean=12680;e.yoyakorean=12679;e.yoyakthai=3618;e.yoyingthai=3597;e.yparen=9396;e.ypogegrammeni=890;e.ypogegrammenigreekcmb=837;e.yr=422;e.yring=7833;e.ysuperior=696;e.ytilde=7929;e.yturned=654;e.yuhiragana=12422\ +;e.yuikorean=12684;e.yukatakana=12518;e.yukatakanahalfwidth=65429;e.yukorean=12640;e.yusbigcyrillic=1131;e.yusbigiotifiedcyrillic=1133;e.yuslittlecyrillic=1127;e.yuslittleiotifiedcyrillic=1129;e.yusmallhiragana=12421;e.yusmallkatakana=12517;e.yusmallkatakanahalfwidth=65389;e.yuyekorean=12683;e.yuyeokorean=12682;e.yyabengali=2527;e.yyadeva=2399;e.z=122;e.zaarmenian=1382;e.zacute=378;e.zadeva=2395;e.zagurmukhi=2651;e.zaharabic=1592;e.zahfinalarabic=65222;e.zahinitialarabic=65223;e.zahiragana=12374\ +;e.zahmedialarabic=65224;e.zainarabic=1586;e.zainfinalarabic=65200;e.zakatakana=12470;e.zaqefgadolhebrew=1429;e.zaqefqatanhebrew=1428;e.zarqahebrew=1432;e.zayin=1494;e.zayindagesh=64310;e.zayindageshhebrew=64310;e.zayinhebrew=1494;e.zbopomofo=12567;e.zcaron=382;e.zcircle=9449;e.zcircumflex=7825;e.zcurl=657;e.zdot=380;e.zdotaccent=380;e.zdotbelow=7827;e.zecyrillic=1079;e.zedescendercyrillic=1177;e.zedieresiscyrillic=1247;e.zehiragana=12380;e.zekatakana=12476;e.zero=48;e.zeroarabic=1632;e.zerobeng\ +ali=2534;e.zerodeva=2406;e.zerogujarati=2790;e.zerogurmukhi=2662;e.zerohackarabic=1632;e.zeroinferior=8320;e.zeromonospace=65296;e.zerooldstyle=63280;e.zeropersian=1776;e.zerosuperior=8304;e.zerothai=3664;e.zerowidthjoiner=65279;e.zerowidthnonjoiner=8204;e.zerowidthspace=8203;e.zeta=950;e.zhbopomofo=12563;e.zhearmenian=1386;e.zhebrevecyrillic=1218;e.zhecyrillic=1078;e.zhedescendercyrillic=1175;e.zhedieresiscyrillic=1245;e.zihiragana=12376;e.zikatakana=12472;e.zinorhebrew=1454;e.zlinebelow=7829;e\ +.zmonospace=65370;e.zohiragana=12382;e.zokatakana=12478;e.zparen=9397;e.zretroflexhook=656;e.zstroke=438;e.zuhiragana=12378;e.zukatakana=12474;e[".notdef"]=0;e.angbracketleftbig=9001;e.angbracketleftBig=9001;e.angbracketleftbigg=9001;e.angbracketleftBigg=9001;e.angbracketrightBig=9002;e.angbracketrightbig=9002;e.angbracketrightBigg=9002;e.angbracketrightbigg=9002;e.arrowhookleft=8618;e.arrowhookright=8617;e.arrowlefttophalf=8636;e.arrowleftbothalf=8637;e.arrownortheast=8599;e.arrownorthwest=8598\ 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if(e.baseEncodingName){s=getEncoding(e.baseEncodingName);for(n=0;n=0?i:0}}else if(o)for(n in t)r[n]=t[n];else{s=Ar;for(n=0;n=0?i:0}}const c=e.differences;let l;if(c)for(n in c){const e=c[n];i=a.indexOf(e);if(-1===i){l||(l=Fr());const t=recoverGlyphName(e,l);t!==e&&(i=a.indexOf(t))}r[n]=i>=0?i:0}return r}function normalizeFontName(e){return e.replaceAll(/[,_]/g,"-").replaceAll(/\\s/g,"")}const _r=getLookupT\ +ableFactory((e=>{e[8211]=65074;e[8212]=65073;e[8229]=65072;e[8230]=65049;e[12289]=65041;e[12290]=65042;e[12296]=65087;e[12297]=65088;e[12298]=65085;e[12299]=65086;e[12300]=65089;e[12301]=65090;e[12302]=65091;e[12303]=65092;e[12304]=65083;e[12305]=65084;e[12308]=65081;e[12309]=65082;e[12310]=65047;e[12311]=65048;e[65103]=65076;e[65281]=65045;e[65288]=65077;e[65289]=65078;e[65292]=65040;e[65306]=65043;e[65307]=65044;e[65311]=65046;e[65339]=65095;e[65341]=65096;e[65343]=65075;e[65371]=65079;e[65373\ +]=65080}));const Ur=[".notdef","space","exclam","quotedbl","numbersign","dollar","percent","ampersand","quoteright","parenleft","parenright","asterisk","plus","comma","hyphen","period","slash","zero","one","two","three","four","five","six","seven","eight","nine","colon","semicolon","less","equal","greater","question","at","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z","bracketleft","backslash","bracketright","asciicircum","underscore","quo\ +teleft","a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t","u","v","w","x","y","z","braceleft","bar","braceright","asciitilde","exclamdown","cent","sterling","fraction","yen","florin","section","currency","quotesingle","quotedblleft","guillemotleft","guilsinglleft","guilsinglright","fi","fl","endash","dagger","daggerdbl","periodcentered","paragraph","bullet","quotesinglbase","quotedblbase","quotedblright","guillemotright","ellipsis","perthousand","questiondown","grav\ 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+,"acute","circumflex","tilde","macron","breve","dotaccent","dieresis","ring","cedilla","hungarumlaut","ogonek","caron","emdash","AE","ordfeminine","Lslash","Oslash","OE","ordmasculine","ae","dotlessi","lslash","oslash","oe","germandbls","onesuperior","logicalnot","mu","trademark","Eth","onehalf","plusminus","Thorn","onequarter","divide","brokenbar","degree","thorn","threequarters","twosuperior","registered","minus","eth","multiply","threesuperior","copyright","Aacute","Acircumflex","Adieresis","\ +Agrave","Aring","Atilde","Ccedilla","Eacute","Ecircumflex","Edieresis","Egrave","Iacute","Icircumflex","Idieresis","Igrave","Ntilde","Oacute","Ocircumflex","Odieresis","Ograve","Otilde","Scaron","Uacute","Ucircumflex","Udieresis","Ugrave","Yacute","Ydieresis","Zcaron","aacute","acircumflex","adieresis","agrave","aring","atilde","ccedilla","eacute","ecircumflex","edieresis","egrave","iacute","icircumflex","idieresis","igrave","ntilde","oacute","ocircumflex","odieresis","ograve","otilde","scaron",\ +"uacute","ucircumflex","udieresis","ugrave","yacute","ydieresis","zcaron","exclamsmall","Hungarumlautsmall","dollaroldstyle","dollarsuperior","ampersandsmall","Acutesmall","parenleftsuperior","parenrightsuperior","twodotenleader","onedotenleader","zerooldstyle","oneoldstyle","twooldstyle","threeoldstyle","fouroldstyle","fiveoldstyle","sixoldstyle","sevenoldstyle","eightoldstyle","nineoldstyle","commasuperior","threequartersemdash","periodsuperior","questionsmall","asuperior","bsuperior","centsup\ +erior","dsuperior","esuperior","isuperior","lsuperior","msuperior","nsuperior","osuperior","rsuperior","ssuperior","tsuperior","ff","ffi","ffl","parenleftinferior","parenrightinferior","Circumflexsmall","hyphensuperior","Gravesmall","Asmall","Bsmall","Csmall","Dsmall","Esmall","Fsmall","Gsmall","Hsmall","Ismall","Jsmall","Ksmall","Lsmall","Msmall","Nsmall","Osmall","Psmall","Qsmall","Rsmall","Ssmall","Tsmall","Usmall","Vsmall","Wsmall","Xsmall","Ysmall","Zsmall","colonmonetary","onefitted","rupi\ +ah","Tildesmall","exclamdownsmall","centoldstyle","Lslashsmall","Scaronsmall","Zcaronsmall","Dieresissmall","Brevesmall","Caronsmall","Dotaccentsmall","Macronsmall","figuredash","hypheninferior","Ogoneksmall","Ringsmall","Cedillasmall","questiondownsmall","oneeighth","threeeighths","fiveeighths","seveneighths","onethird","twothirds","zerosuperior","foursuperior","fivesuperior","sixsuperior","sevensuperior","eightsuperior","ninesuperior","zeroinferior","oneinferior","twoinferior","threeinferior",\ +"fourinferior","fiveinferior","sixinferior","seveninferior","eightinferior","nineinferior","centinferior","dollarinferior","periodinferior","commainferior","Agravesmall","Aacutesmall","Acircumflexsmall","Atildesmall","Adieresissmall","Aringsmall","AEsmall","Ccedillasmall","Egravesmall","Eacutesmall","Ecircumflexsmall","Edieresissmall","Igravesmall","Iacutesmall","Icircumflexsmall","Idieresissmall","Ethsmall","Ntildesmall","Ogravesmall","Oacutesmall","Ocircumflexsmall","Otildesmall","Odieresissma\ +ll","OEsmall","Oslashsmall","Ugravesmall","Uacutesmall","Ucircumflexsmall","Udieresissmall","Yacutesmall","Thornsmall","Ydieresissmall","001.000","001.001","001.002","001.003","Black","Bold","Book","Light","Medium","Regular","Roman","Semibold"],Wr=391,zr=[null,{id:"hstem",min:2,stackClearing:!0,stem:!0},null,{id:"vstem",min:2,stackClearing:!0,stem:!0},{id:"vmoveto",min:1,stackClearing:!0},{id:"rlineto",min:2,resetStack:!0},{id:"hlineto",min:1,resetStack:!0},{id:"vlineto",min:1,resetStack:!0},{id\ +:"rrcurveto",min:6,resetStack:!0},null,{id:"callsubr",min:1,undefStack:!0},{id:"return",min:0,undefStack:!0},null,null,{id:"endchar",min:0,stackClearing:!0},null,null,null,{id:"hstemhm",min:2,stackClearing:!0,stem:!0},{id:"hintmask",min:0,stackClearing:!0},{id:"cntrmask",min:0,stackClearing:!0},{id:"rmoveto",min:2,stackClearing:!0},{id:"hmoveto",min:1,stackClearing:!0},{id:"vstemhm",min:2,stackClearing:!0,stem:!0},{id:"rcurveline",min:8,resetStack:!0},{id:"rlinecurve",min:8,resetStack:!0},{id:"v\ +vcurveto",min:4,resetStack:!0},{id:"hhcurveto",min:4,resetStack:!0},null,{id:"callgsubr",min:1,undefStack:!0},{id:"vhcurveto",min:4,resetStack:!0},{id:"hvcurveto",min:4,resetStack:!0}],$r=[null,null,null,{id:"and",min:2,stackDelta:-1},{id:"or",min:2,stackDelta:-1},{id:"not",min:1,stackDelta:0},null,null,null,{id:"abs",min:1,stackDelta:0},{id:"add",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]+e[t-1]}},{id:"sub",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]-e[t-1]}},{id:"div",min:2,stackDelta:-\ +1,stackFn(e,t){e[t-2]=e[t-2]/e[t-1]}},null,{id:"neg",min:1,stackDelta:0,stackFn(e,t){e[t-1]=-e[t-1]}},{id:"eq",min:2,stackDelta:-1},null,null,{id:"drop",min:1,stackDelta:-1},null,{id:"put",min:2,stackDelta:-2},{id:"get",min:1,stackDelta:0},{id:"ifelse",min:4,stackDelta:-3},{id:"random",min:0,stackDelta:1},{id:"mul",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]*e[t-1]}},null,{id:"sqrt",min:1,stackDelta:0},{id:"dup",min:1,stackDelta:1},{id:"exch",min:2,stackDelta:0},{id:"index",min:2,stackDelta:0\ +},{id:"roll",min:3,stackDelta:-2},null,null,null,{id:"hflex",min:7,resetStack:!0},{id:"flex",min:13,resetStack:!0},{id:"hflex1",min:9,resetStack:!0},{id:"flex1",min:11,resetStack:!0}];class CFFParser{constructor(e,t,a){this.bytes=e.getBytes();this.properties=t;this.seacAnalysisEnabled=!!a}parse(){const e=this.properties,t=new CFF;this.cff=t;const a=this.parseHeader(),r=this.parseIndex(a.endPos),i=this.parseIndex(r.endPos),n=this.parseIndex(i.endPos),s=this.parseIndex(n.endPos),o=this.parseDict(i\ +.obj.get(0)),c=this.createDict(CFFTopDict,o,t.strings);t.header=a.obj;t.names=this.parseNameIndex(r.obj);t.strings=this.parseStringIndex(n.obj);t.topDict=c;t.globalSubrIndex=s.obj;this.parsePrivateDict(t.topDict);t.isCIDFont=c.hasName("ROS");const l=c.getByName("CharStrings"),h=this.parseIndex(l).obj,u=c.getByName("FontMatrix");u&&(e.fontMatrix=u);const d=c.getByName("FontBBox");if(d){e.ascent=Math.max(d[3],d[1]);e.descent=Math.min(d[1],d[3]);e.ascentScaled=!0}let f,g;if(t.isCIDFont){const e=thi\ +s.parseIndex(c.getByName("FDArray")).obj;for(let a=0,r=e.count;a=t)throw new FormatError("Invalid CFF header");if(0!==a){info("cff data is shifted");e=e.subarray(a);this.bytes=e}const r=e[0],i=e[1],n=e[2],s=e[3];return{obj:new CFFHeader(r,i,n,s)\ +,endPos:n}}parseDict(e){let t=0;function parseOperand(){let a=e[t++];if(30===a)return function parseFloatOperand(){let a="";const r=15,i=["0","1","2","3","4","5","6","7","8","9",".","E","E-",null,"-"],n=e.length;for(;t>4,o=15&n;if(s===r)break;a+=i[s];if(o===r)break;a+=i[o]}return parseFloat(a)}();if(28===a){a=readInt16(e,t);t+=2;return a}if(29===a){a=e[t++];a=a<<8|e[t++];a=a<<8|e[t++];a=a<<8|e[t++];return a}if(a>=32&&a<=246)return a-139;if(a>=247&&a<=250)return 256*(a-247\ +)+e[t++]+108;if(a>=251&&a<=254)return-256*(a-251)-e[t++]-108;warn(\'CFFParser_parseDict: "\'+a+\'" is a reserved command.\');return NaN}let a=[];const r=[];t=0;const i=e.length;for(;t10)return!1;let i=e.stackSize;const n=e.stack\ +;let s=t.length;for(let o=0;o=4){i-=4;if(this.seacAnalysisEnabled){e.seac=n.slice(i,i+4);return!1}}l=zr[c]}else if(c>=32&&c<=246){n[i]=c-139;i++}else if(c>=247&&c<=254){n[i]=c<251?(c-247<<8)+t[o]+108:-(c-251<<8)-t[o]-108;o++;i++}else if(255===c){n[i]=(t[o]<<24|t[o+1]<<16|t[o+2]<<8|t[o+3])/65536;o+=4;i++}else if(19===c||20===c){\ +e.hints+=i>>1;if(0===e.hints){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}o+=e.hints+7>>3;i%=2;l=zr[c]}else{if(10===c||29===c){const t=10===c?a:r;if(!t){l=zr[c];warn("Missing subrsIndex for "+l.id);return!1}let s=32768;t.count<1240?s=107:t.count<33900&&(s=1131);const o=n[--i]+s;if(o<0||o>=t.count||isNaN(o)){l=zr[c];warn("Out of bounds subrIndex for "+l.id);return!1}e.stackSize=i;e.callDepth++;if(!this.parseCharString(e,t.get(o),a,r))return!1;e.callDepth--;i=e.stackSize;continue}if(11===c){e.stackS\ +ize=i;return!0}if(0===c&&o===t.length){t[o-1]=14;l=zr[14]}else{if(9===c){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}l=zr[c]}}if(l){if(l.stem){e.hints+=i>>1;if(3===c||23===c)e.hasVStems=!0;else if(e.hasVStems&&(1===c||18===c)){warn("CFF stem hints are in wrong order");t[o-1]=1===c?3:23}}if("min"in l&&!e.undefStack&&i=2&&l.stem?i%=2:i>1&&warn("Found too many parameters for stack-clearing command");i>0&&(e.width=n[i-1])}if("stackDelta"in l){"stackFn"in l&&l.stackFn(n,i);i+=l.stackDelta}else if(l.stackClearing)i=0;else if(l.resetStack){i=0;e.undefStack=!1}else if(l.undefStack){i=0;e.undefStack=!0;e.firstStackClearing=!1}}}s=i.length){warn("Invalid fd index for glyph index.");u=!1}if(u){f=i[e].privateDict;d=f.subrsIndex}}else t&&(d=t);u&&(u=this.parseCharString(h,c,d,a));if(null!==h.width){const e=f.getByName("nominalWidthX");o[l]=e+h.width}el\ +se{const e=f.getByName("defaultWidthX");o[l]=e}null!==h.seac&&(s[l]=h.seac);u||e.set(l,new Uint8Array([14]))}return{charStrings:e,seacs:s,widths:o}}emptyPrivateDictionary(e){const t=this.createDict(CFFPrivateDict,[],e.strings);e.setByKey(18,[0,0]);e.privateDict=t}parsePrivateDict(e){if(!e.hasName("Private")){this.emptyPrivateDictionary(e);return}const t=e.getByName("Private");if(!Array.isArray(t)||2!==t.length){e.removeByName("Private");return}const a=t[0],r=t[1];if(0===a||r>=this.bytes.length){\ +this.emptyPrivateDictionary(e);return}const i=r+a,n=this.bytes.subarray(r,i),s=this.parseDict(n),o=this.createDict(CFFPrivateDict,s,e.strings);e.privateDict=o;0===o.getByName("ExpansionFactor")&&o.setByName("ExpansionFactor",.06);if(!o.getByName("Subrs"))return;const c=o.getByName("Subrs"),l=r+c;if(0===c||l>=this.bytes.length){this.emptyPrivateDictionary(e);return}const h=this.parseIndex(l);o.subrsIndex=h.obj}parseCharsets(e,t,a,r){if(0===e)return new CFFCharset(!0,Kr.ISO_ADOBE,Ur);if(1===e)retu\ +rn new CFFCharset(!0,Kr.EXPERT,Xr);if(2===e)return new CFFCharset(!0,Kr.EXPERT_SUBSET,qr);const i=this.bytes,n=e,s=i[e++],o=[r?0:".notdef"];let c,l,h;t-=1;switch(s){case 0:for(h=0;h=65535){warn("Not enough space in charstrings to duplicate first glyph.");return}const e=this.charStrings.get(0);this.charStrings.add(e);this.isCIDFont&&this.fdSelect.fdSelect.push(this.fdSelect.fdSelect[0])}hasGlyphId(e){if(e<0||e>=this.charStrings.count)return!1;return this.charStrings.get(e).length>0}}class CFFHeader{constructor(e,t,a,r){this.major=e;this.minor=t;this.hdrSize=a;this.offSize=r}}class C\ +FFStrings{constructor(){this.strings=[]}get(e){return e>=0&&e<=390?Hr[e]:e-Wr<=this.strings.length?this.strings[e-Wr]:Hr[0]}getSID(e){let t=Hr.indexOf(e);if(-1!==t)return t;t=this.strings.indexOf(e);return-1!==t?t+Wr:-1}add(e){this.strings.push(e)}get count(){return this.strings.length}}class CFFIndex{constructor(){this.objects=[];this.length=0}add(e){this.length+=e.length;this.objects.push(e)}set(e,t){this.length+=t.length-this.objects[e].length;this.objects[e]=t}get(e){return this.objects[e]}g\ +et count(){return this.objects.length}}class CFFDict{constructor(e,t){this.keyToNameMap=e.keyToNameMap;this.nameToKeyMap=e.nameToKeyMap;this.defaults=e.defaults;this.types=e.types;this.opcodes=e.opcodes;this.order=e.order;this.strings=t;this.values=Object.create(null)}setByKey(e,t){if(!(e in this.keyToNameMap))return!1;if(0===t.length)return!0;for(const a of t)if(isNaN(a)){warn(`Invalid CFFDict value: "${t}" for key "${e}".`);return!0}const a=this.types[e];"num"!==a&&"sid"!==a&&"offset"!==a||(t=\ +t[0]);this.values[e]=t;return!0}setByName(e,t){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name "${e}"`);this.values[this.nameToKeyMap[e]]=t}hasName(e){return this.nameToKeyMap[e]in this.values}getByName(e){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name ${e}"`);const t=this.nameToKeyMap[e];return t in this.values?this.values[t]:this.defaults[t]}removeByName(e){delete this.values[this.nameToKeyMap[e]]}static createTables(e){const t={keyToNam\ +eMap:{},nameToKeyMap:{},defaults:{},types:{},opcodes:{},order:[]};for(const a of e){const e=Array.isArray(a[0])?(a[0][0]<<8)+a[0][1]:a[0];t.keyToNameMap[e]=a[1];t.nameToKeyMap[a[1]]=e;t.types[e]=a[2];t.defaults[e]=a[3];t.opcodes[e]=Array.isArray(a[0])?a[0]:[a[0]];t.order.push(e)}return t}}const Gr=[[[12,30],"ROS",["sid","sid","num"],null],[[12,20],"SyntheticBase","num",null],[0,"version","sid",null],[1,"Notice","sid",null],[[12,0],"Copyright","sid",null],[2,"FullName","sid",null],[3,"FamilyName"\ +,"sid",null],[4,"Weight","sid",null],[[12,1],"isFixedPitch","num",0],[[12,2],"ItalicAngle","num",0],[[12,3],"UnderlinePosition","num",-100],[[12,4],"UnderlineThickness","num",50],[[12,5],"PaintType","num",0],[[12,6],"CharstringType","num",2],[[12,7],"FontMatrix",["num","num","num","num","num","num"],[.001,0,0,.001,0,0]],[13,"UniqueID","num",null],[5,"FontBBox",["num","num","num","num"],[0,0,0,0]],[[12,8],"StrokeWidth","num",0],[14,"XUID","array",null],[15,"charset","offset",0],[16,"Encoding","of\ +fset",0],[17,"CharStrings","offset",0],[18,"Private",["offset","offset"],null],[[12,21],"PostScript","sid",null],[[12,22],"BaseFontName","sid",null],[[12,23],"BaseFontBlend","delta",null],[[12,31],"CIDFontVersion","num",0],[[12,32],"CIDFontRevision","num",0],[[12,33],"CIDFontType","num",0],[[12,34],"CIDCount","num",8720],[[12,35],"UIDBase","num",null],[[12,37],"FDSelect","offset",null],[[12,36],"FDArray","offset",null],[[12,38],"FontName","sid",null]];class CFFTopDict extends CFFDict{static get \ +tables(){return shadow(this,"tables",this.createTables(Gr))}constructor(e){super(CFFTopDict.tables,e);this.privateDict=null}}const Vr=[[6,"BlueValues","delta",null],[7,"OtherBlues","delta",null],[8,"FamilyBlues","delta",null],[9,"FamilyOtherBlues","delta",null],[[12,9],"BlueScale","num",.039625],[[12,10],"BlueShift","num",7],[[12,11],"BlueFuzz","num",1],[10,"StdHW","num",null],[11,"StdVW","num",null],[[12,12],"StemSnapH","delta",null],[[12,13],"StemSnapV","delta",null],[[12,14],"ForceBold","num"\ +,0],[[12,17],"LanguageGroup","num",0],[[12,18],"ExpansionFactor","num",.06],[[12,19],"initialRandomSeed","num",0],[20,"defaultWidthX","num",0],[21,"nominalWidthX","num",0],[19,"Subrs","offset",null]];class CFFPrivateDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Vr))}constructor(e){super(CFFPrivateDict.tables,e);this.subrsIndex=null}}const Kr={ISO_ADOBE:0,EXPERT:1,EXPERT_SUBSET:2};class CFFCharset{constructor(e,t,a,r){this.predefined=e;this.format=t;this.c\ +harset=a;this.raw=r}}class CFFEncoding{constructor(e,t,a,r){this.predefined=e;this.format=t;this.encoding=a;this.raw=r}}class CFFFDSelect{constructor(e,t){this.format=e;this.fdSelect=t}getFDIndex(e){return e<0||e>=this.fdSelect.length?-1:this.fdSelect[e]}}class CFFOffsetTracker{constructor(){this.offsets=Object.create(null)}isTracking(e){return e in this.offsets}track(e,t){if(e in this.offsets)throw new FormatError(`Already tracking location of ${e}`);this.offsets[e]=t}offset(e){for(const t in t\ +his.offsets)this.offsets[t]+=e}setEntryLocation(e,t,a){if(!(e in this.offsets))throw new FormatError(`Not tracking location of ${e}`);const r=a.data,i=this.offsets[e];for(let e=0,a=t.length;e>24&255;r[s]=l>>16&255;r[o]=l>>8&255;r[c]=255&l}}}class CFFCompiler{constructor(e){this.cff=e}compile(){const e=this.c\ +ff,t={data:[],length:0,add(e){try{this.data.push(...e)}catch{this.data=this.data.concat(e)}this.length=this.data.length}},a=this.compileHeader(e.header);t.add(a);const r=this.compileNameIndex(e.names);t.add(r);if(e.isCIDFont&&e.topDict.hasName("FontMatrix")){const t=e.topDict.getByName("FontMatrix");e.topDict.removeByName("FontMatrix");for(const a of e.fdArray){let e=t.slice(0);a.hasName("FontMatrix")&&(e=Util.transform(e,a.getByName("FontMatrix")));a.setByName("FontMatrix",e)}}const i=e.topDict\ +.getByName("XUID");i?.length>16&&e.topDict.removeByName("XUID");e.topDict.setByName("charset",0);let n=this.compileTopDicts([e.topDict],t.length,e.isCIDFont);t.add(n.output);const s=n.trackers[0],o=this.compileStringIndex(e.strings.strings);t.add(o);const c=this.compileIndex(e.globalSubrIndex);t.add(c);if(e.encoding&&e.topDict.hasName("Encoding"))if(e.encoding.predefined)s.setEntryLocation("Encoding",[e.encoding.format],t);else{const a=this.compileEncoding(e.encoding);s.setEntryLocation("Encodin\ +g",[t.length],t);t.add(a)}const l=this.compileCharset(e.charset,e.charStrings.count,e.strings,e.isCIDFont);s.setEntryLocation("charset",[t.length],t);t.add(l);const h=this.compileCharStrings(e.charStrings);s.setEntryLocation("CharStrings",[t.length],t);t.add(h);if(e.isCIDFont){s.setEntryLocation("FDSelect",[t.length],t);const a=this.compileFDSelect(e.fdSelect);t.add(a);n=this.compileTopDicts(e.fdArray,t.length,!0);s.setEntryLocation("FDArray",[t.length],t);t.add(n.output);const r=n.trackers;this\ +.compilePrivateDicts(e.fdArray,r,t)}this.compilePrivateDicts([e.topDict],[s],t);t.add([0]);return t.data}encodeNumber(e){return Number.isInteger(e)?this.encodeInteger(e):this.encodeFloat(e)}static get EncodeFloatRegExp(){return shadow(this,"EncodeFloatRegExp",/\\.(\\d*?)(?:9{5,20}|0{5,20})\\d{0,2}(?:e(.+)|$)/)}encodeFloat(e){let t=e.toString();const a=CFFCompiler.EncodeFloatRegExp.exec(t);if(a){const r=parseFloat("1e"+((a[2]?+a[2]:0)+a[1].length));t=(Math.round(e*r)/r).toString()}let r,i,n="";for(r\ +=0,i=t.length;r=-107&&e<=107?[e+139]:e>=108&&e<=1131?[247+((e-=108)>>8),255&e]:e>=-1131&&e<=-108?[251+((e=-e-108)>>8),255&e]:e>=-32768&&e<=32767?[28,e>>8&255,255&e]:[29,e>>24&255,e>>16&255,e>>8&255,255&e];return t}compileHeader(e){return[e.major,e.minor,4,e.offSize]}compileNameInd\ +ex(e){const t=new CFFIndex;for(const a of e){const e=Math.min(a.length,127);let r=new Array(e);for(let t=0;t"~"||"["===e||"]"===e||"("===e||")"===e||"{"===e||"}"===e||"<"===e||">"===e||"/"===e||"%"===e)&&(e="_");r[t]=e}r=r.join("");""===r&&(r="Bad_Font_Name");t.add(stringToBytes(r))}return this.compileIndex(t)}compileTopDicts(e,t,a){const r=[];let i=new CFFIndex;for(const n of e){if(a){n.removeByName("CIDFontVersion");n.removeByName("CIDFontRevision");n.removeByName(\ +"CIDFontType");n.removeByName("CIDCount");n.removeByName("UIDBase")}const e=new CFFOffsetTracker,s=this.compileDict(n,e);r.push(e);i.add(s);e.offset(t)}i=this.compileIndex(i,r);return{trackers:r,output:i}}compilePrivateDicts(e,t,a){for(let r=0,i=e.length;r>8&255,255&e])}else{i=new Uint8Array(1+2*n);i[0]=0;let t=0;const r=e.charset.length;let s=!1;for(let n=1;n>8&255;i[n+1]=255&o}}return this.compileTypedArray(i)}compileEncoding(e){return this.compil\ +eTypedArray(e.raw)}compileFDSelect(e){const t=e.format;let a,r;switch(t){case 0:a=new Uint8Array(1+e.fdSelect.length);a[0]=t;for(r=0;r>8&255,255&i,n];for(r=1;r>8&255,255&r,t);n=t}}const o=(s.length-3)/3;s[1]=o>>8&255;s[2]=255&o;s.push(r>>8&255,255&r);a=new Uint8Array(s)}return this.compileTypedArray(a)}compileTypedArray(e){return\ + Array.from(e)}compileIndex(e,t=[]){const a=e.objects,r=a.length;if(0===r)return[0,0];const i=[r>>8&255,255&r];let n,s,o=1;for(n=0;n>8&255,255&c):3===s?i.push(c>>16&255,c>>8&255,255&c):i.push(c>>>24&255,c>>16&255,c>>8&255,255&c);a[n]&&(c+=a[n].length)}for(n=0;n=this.firstChar&&e<=this.lastChar?e:-1}amend(e){unreachable("Should not call amend()")}}class CFFFont{constructor(e,t){this.properties=t;const a=new CFFParser(e,t,Rr);this.cff=a.parse();this.cff.duplicateFirstGlyph();const r=new CFFCompiler(this.cff);this.seacs=this.cff.seacs;try{this.data=r.compile()}catch{warn("Failed to compile font "+t.loadedName);this.data=e}this._createBuiltInEncoding()}get numGlyphs(){return this.cff.charStrings.count}getCharset(\ +){return this.cff.charset.charset}getGlyphMapping(){const e=this.cff,t=this.properties,{cidToGidMap:a,cMap:r}=t,i=e.charset.charset;let n,s;if(t.composite){let t,o;if(a?.length>0){t=Object.create(null);for(let e=0,r=a.length;e=0){const r=a[t];r&&(i[e]=r)}}i.length>0&&(this.properties.builtInEncoding=i)}}function getFloat214(e,t){return readInt16(e,t)/16384}function getSubroutineBias(e){const t=e.length;let a=32768;t<1240?a=107:t<33900&&(\ +a=1131);return a}function parseCmap(e,t,a){const r=1===readUint16(e,t+2)?readUint32(e,t+8):readUint32(e,t+16),i=readUint16(e,t+r);let n,s,o;if(4===i){readUint16(e,t+r+2);const a=readUint16(e,t+r+6)>>1;s=t+r+14;n=[];for(o=0;o>1;a0;)h.push({flags:n})}for(a=0;a>1;y=!0;break;case 4:s+=i.pop();moveTo(n,s);y=!0;break;case 5:for(;i.length>0;){n+=i.shift();s+=i.shift();lineTo(n,s)}break;case 6:fo\ +r(;i.length>0;){n+=i.shift();lineTo(n,s);if(0===i.length)break;s+=i.shift();lineTo(n,s)}break;case 7:for(;i.length>0;){s+=i.shift();lineTo(n,s);if(0===i.length)break;n+=i.shift();lineTo(n,s)}break;case 8:for(;i.length>0;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 10:m=i.pop();b=null;if(a.isCFFCIDFont){const e=a.fdSelect.getFDIndex(r);if(e>=0&&eMath.abs(s-t)?n+=i.shift():s+=i.shift();bezierCurveTo(l,u,h,d,n,s);break;default:throw new FormatError(`unknown operator: 12 ${w}`)}break;case 14:if(i.length>=4){const e=i.pop(),r=i.pop();s=i.pop();n=i.pop();t.save();t.translate(n,s);let o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[e]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId);t.restore();o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[r]]));compileCharString(a.glyphs[o.glyphId],t,a,o\ +.glyphId)}return;case 19:case 20:o+=i.length>>1;c+=o+7>>3;y=!0;break;case 21:s+=i.pop();n+=i.pop();moveTo(n,s);y=!0;break;case 22:n+=i.pop();moveTo(n,s);y=!0;break;case 24:for(;i.length>2;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}n+=i.shift();s+=i.shift();lineTo(n,s);break;case 25:for(;i.length>6;){n+=i.shift();s+=i.shift();lineTo(n,s)}l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierC\ +urveTo(l,u,h,d,n,s);break;case 26:i.length%2&&(n+=i.shift());for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 27:i.length%2&&(s+=i.shift());for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d;bezierCurveTo(l,u,h,d,n,s)}break;case 28:i.push(readInt16(e,c));c+=2;break;case 29:m=i.pop()+a.gsubrsBias;b=a.gsubrs[m];b&&parse(b);break;case 30:for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift\ +();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;case 31:for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,\ +n,s)}break;default:if(w<32)throw new FormatError(`unknown operator: ${w}`);if(w<247)i.push(w-139);else if(w<251)i.push(256*(w-247)+e[c++]+108);else if(w<255)i.push(256*-(w-251)-e[c++]-108);else{i.push((e[c]<<24|e[c+1]<<16|e[c+2]<<8|e[c+3])/65536);c+=4}}y&&(i.length=0)}}(e)}class Commands{cmds=[];transformStack=[];currentTransform=[1,0,0,1,0,0];add(e,t){if(t){const{currentTransform:a}=this;for(let e=0,r=t.length;e=0&&e2*readUint16(e,t)}const n=[];let s=i(t,0);for(let a=r;ae.getSize()+3&-4)))}write(){const e=t\ +his.getSize(),t=new DataView(new ArrayBuffer(e)),a=e>131070,r=a?4:2,i=new DataView(new ArrayBuffer((this.glyphs.length+1)*r));a?i.setUint32(0,0):i.setUint16(0,0);let n=0,s=0;for(const e of this.glyphs){n+=e.write(n,t);n=n+3&-4;s+=r;a?i.setUint32(s,n):i.setUint16(s,n>>1)}return{isLocationLong:a,loca:new Uint8Array(i.buffer),glyf:new Uint8Array(t.buffer)}}scale(e){for(let t=0,a=this.glyphs.length;te.getSize())));return th\ +is.header.getSize()+e}write(e,t){if(!this.header)return 0;const a=e;e+=this.header.write(e,t);if(this.simple)e+=this.simple.write(e,t);else for(const a of this.composites)e+=a.write(e,t);return e-a}scale(e){if(!this.header)return;const t=(this.header.xMin+this.header.xMax)/2;this.header.scale(t,e);if(this.simple)this.simple.scale(t,e);else for(const a of this.composites)a.scale(t,e)}}class GlyphHeader{constructor({numberOfContours:e,xMin:t,yMin:a,xMax:r,yMax:i}){this.numberOfContours=e;this.xMin\ +=t;this.yMin=a;this.xMax=r;this.yMax=i}static parse(e,t){return[10,new GlyphHeader({numberOfContours:t.getInt16(e),xMin:t.getInt16(e+2),yMin:t.getInt16(e+4),xMax:t.getInt16(e+6),yMax:t.getInt16(e+8)})]}getSize(){return 10}write(e,t){t.setInt16(e,this.numberOfContours);t.setInt16(e+2,this.xMin);t.setInt16(e+4,this.yMin);t.setInt16(e+6,this.xMax);t.setInt16(e+8,this.yMax);return 10}scale(e,t){this.xMin=Math.round(e+(this.xMin-e)*t);this.xMax=Math.round(e+(this.xMax-e)*t)}}class Contour{constructor\ +({flags:e,xCoordinates:t,yCoordinates:a}){this.xCoordinates=t;this.yCoordinates=a;this.flags=e}}class SimpleGlyph{constructor({contours:e,instructions:t}){this.contours=e;this.instructions=t}static parse(e,t,a){const r=[];for(let i=0;i255?e+=2:o>0&&(e+=1);t=n;o=Math.abs(s-a);o>255?e+=2:o>0&&(e+=1);a=s}}return e}write(e,t){const a=e,r=[],i=[],n=[];let s=0,o=0;for(const a of this.contours){for(let e=0,t=a.xCoordinates.length;e=0?18:2;r.push(e)}else r.push(l)}s=c;const h=a.yCoordinates[e];l=h-o;if(0===l){t|=32;i.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?36:4;i.push(e)}else i.push(l)}o=h;n.push(t)}t.setUint16(e,r.length-1);e+=2}t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.len\ +gth}for(const a of n)t.setUint8(e++,a);for(let a=0,i=r.length;a=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument\ +2<=127||(e+=2):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(e+=2);return e}write(e,t){const a=e;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(this.flags|=1):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(this.flags|=1);t.setUint16(e,this.flags);t.setUint16(e+2,this.glyphIndex);e+=4;if(1&this.flags){if(2&this.flags){t.setInt16(e,this.argument1);t.setInt16(e+2,this.argument2)\ +}else{t.setUint16(e,this.argument1);t.setUint16(e+2,this.argument2)}e+=4}else{t.setUint8(e,this.argument1);t.setUint8(e+1,this.argument2);e+=2}if(256&this.flags){t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}}return e-a}scale(e,t){}}function writeInt16(e,t,a){e[t]=a>>8&255;e[t+1]=255&a}function writeInt32(e,t,a){e[t]=a>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255\ +&a}function writeData(e,t,a){if(a instanceof Uint8Array)e.set(a,t);else if("string"==typeof a)for(let r=0,i=a.length;ra;){a<<=1;r++}const i=a*t;return{range:i,entry:r,rangeShift:t*e-i}}toArray(){let e=this.sfnt;const t=this.tables,a=Object.keys(t);a.sort();const r=a.length;let i,n,s,o,c,l=12+16\ +*r;const h=[l];for(i=0;i>>0;h.push(l)}const u=new Uint8Array(l);for(i=0;i>>0}writeInt32(u,l+4,e);writeInt32(u,l+8,h[i]);writeInt32(u,l+12,t[c].length);l+=16}return u}addTable(e,t){if(e in this.tables)throw new Error("Table "+e+" already exists");this.tables[e]=t}}const si=[4],oi=[5],ci=[6],li=[7],hi=[8],ui=[12,35],di=[14],fi=[21],gi=[22],pi=[30],mi=[31];class Type1CharString{constructor(){this.width=0;this.lsb=0;this.flexing=!1;this.output=[];this.st\ +ack=[]}convert(e,t,a){const r=e.length;let i,n,s,o=!1;for(let c=0;cr)return!0;const i=r-e;for(let e=i;e>8&255,255&t);else{t=65536*t|0;this.output.push(255,t>>24&255,t>>16&255,t>>8&255,255&t)}}this.output.push(...t);a?this.stack.splice(i,e):this.stack.l\ +ength=0;return!1}}function isHexDigit(e){return e>=48&&e<=57||e>=65&&e<=70||e>=97&&e<=102}function decrypt(e,t,a){if(a>=e.length)return new Uint8Array(0);let r,i,n=0|t;for(r=0;r>8;n=52845*(t+n)+22719&65535}return o}function isSpecial(e){return 47===e||91===e||93===e||123===e||125===e||40===e||41===e}class Type1Parser{constructor(e,t,a){if(t){const t=e.getBytes(),a=!((isHexDig\ +it(t[0])||isWhiteSpace(t[0]))&&isHexDigit(t[1])&&isHexDigit(t[2])&&isHexDigit(t[3])&&isHexDigit(t[4])&&isHexDigit(t[5])&&isHexDigit(t[6])&&isHexDigit(t[7]));e=new Stream(a?decrypt(t,55665,4):function decryptAscii(e,t,a){let r=0|t;const i=e.length,n=new Uint8Array(i>>>1);let s,o;for(s=0,o=0;s>8;r=52845*(e+r)+22719&65535}}return n.slice(a,o)}\ +(t,55665,4))}this.seacAnalysisEnabled=!!a;this.stream=e;this.nextChar()}readNumberArray(){this.getToken();const e=[];for(;;){const t=this.getToken();if(null===t||"]"===t||"}"===t)break;e.push(parseFloat(t||0))}return e}readNumber(){const e=this.getToken();return parseFloat(e||0)}readInt(){const e=this.getToken();return 0|parseInt(e||0,10)}readBoolean(){return"true"===this.getToken()?1:0}nextChar(){return this.currentChar=this.stream.getByte()}prevChar(){this.stream.skip(-2);return this.currentCh\ +ar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(-1===t)return null;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}if(isSpecial(t)){this.nextChar();return String.fromCharCode(t)}let a="";do{a+=String.fromCharCode(t);t=this.nextChar()}while(t>=0&&!isWhiteSpace(t)&&!isSpecial(t));return a}readCharStrings(e,t){return-1===t?e:decrypt(e,4330,t)}extractFontProgram(e){const t=this.stream,a=[],r=[],i=Object.create(null);i.lenIV=\ +4;const n={subrs:[],charstrings:[],properties:{privateData:i}};let s,o,c,l;for(;null!==(s=this.getToken());)if("/"===s){s=this.getToken();switch(s){case"CharStrings":this.getToken();this.getToken();this.getToken();this.getToken();for(;;){s=this.getToken();if(null===s||"end"===s)break;if("/"!==s)continue;const e=this.getToken();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const a=this.readCharStrings(c,l);this.nextChar();s=this.getToken()\ +;"noaccess"===s?this.getToken():"/"===s&&this.prevChar();r.push({glyph:e,encoded:a})}break;case"Subrs":this.readInt();this.getToken();for(;"dup"===this.getToken();){const e=this.readInt();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const r=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s&&this.getToken();a[e]=r}break;case"BlueValues":case"OtherBlues":case"FamilyBlues":case"FamilyOtherBlues":const e=this.readNum\ +berArray();e.length>0&&e.length,0;break;case"StemSnapH":case"StemSnapV":n.properties.privateData[s]=this.readNumberArray();break;case"StdHW":case"StdVW":n.properties.privateData[s]=this.readNumberArray()[0];break;case"BlueShift":case"lenIV":case"BlueFuzz":case"BlueScale":case"LanguageGroup":n.properties.privateData[s]=this.readNumber();break;case"ExpansionFactor":n.properties.privateData[s]=this.readNumber()||.06;break;case"ForceBold":n.properties.privateData[s]=this.readBoolean()}}for(const{enc\ +oded:t,glyph:i}of r){const r=new Type1CharString,s=r.convert(t,a,this.seacAnalysisEnabled);let o=r.output;s&&(o=[14]);const c={glyphName:i,charstring:o,width:r.width,lsb:r.lsb,seac:r.seac};".notdef"===i?n.charstrings.unshift(c):n.charstrings.push(c);if(e.builtInEncoding){const t=e.builtInEncoding.indexOf(i);t>-1&&void 0===e.widths[t]&&t>=e.firstChar&&t<=e.lastChar&&(e.widths[t]=r.width)}}return n}extractFontHeader(e){let t;for(;null!==(t=this.getToken());)if("/"===t){t=this.getToken();switch(t){\ +case"FontMatrix":const a=this.readNumberArray();e.fontMatrix=a;break;case"Encoding":const r=this.getToken();let i;if(/^\\d+$/.test(r)){i=[];const e=0|parseInt(r,10);this.getToken();for(let a=0;a=i){s+=a;for(;s=0&&(r[e]=i)}}return type1FontGlyphMapping(e,r,a)}hasGlyphId(e){if(e<0||e>=this.numGlyphs)return!1;if(0===e)return!0;return this.charstrings[e-1].charstring.length>0}getSeacs(e){const t=[];for(let a=0,r=e.length;a0;e--)t[e]-=t[e-1];f.setByName(e,t)}n.topDict.privateDict=f;const p=new CFFIndex;for(h=0,u=r.length;h0&&e.toUnicode.amend(t)}class fonts_Glyph{constructor(e,t,a,r,i,n,s,o,c){this.originalCharCo\ +de=e;this.fontChar=t;this.unicode=a;this.accent=r;this.width=i;this.vmetric=n;this.operatorListId=s;this.isSpace=o;this.isInFont=c}get category(){return shadow(this,"category",function getCharUnicodeCategory(e){const t=Dr.get(e);if(t)return t;const a=e.match(Mr),r={isWhitespace:!!a?.[1],isZeroWidthDiacritic:!!a?.[2],isInvisibleFormatMark:!!a?.[3]};Dr.set(e,r);return r}(this.unicode),!0)}}function int16(e,t){return(e<<8)+t}function writeSignedInt16(e,t,a){e[t+1]=a;e[t]=a>>>8}function signedInt16(\ +e,t){const a=(e<<8)+t;return 32768&a?a-65536:a}function string16(e){return String.fromCharCode(e>>8&255,255&e)}function safeString16(e){e>32767?e=32767:e<-32768&&(e=-32768);return String.fromCharCode(e>>8&255,255&e)}function isTrueTypeCollectionFile(e){return"ttcf"===bytesToString(e.peekBytes(4))}function getFontFileType(e,{type:t,subtype:a,composite:r}){let i,n;if(function isTrueTypeFile(e){const t=e.peekBytes(4);return 65536===readUint32(t,0)||"true"===bytesToString(t)}(e)||isTrueTypeCollectio\ +nFile(e))i=r?"CIDFontType2":"TrueType";else if(function isOpenTypeFile(e){return"OTTO"===bytesToString(e.peekBytes(4))}(e))i=r?"CIDFontType2":"OpenType";else if(function isType1File(e){const t=e.peekBytes(2);return 37===t[0]&&33===t[1]||128===t[0]&&1===t[1]}(e))i=r?"CIDFontType0":"MMType1"===t?"MMType1":"Type1";else if(function isCFFFile(e){const t=e.peekBytes(4);return t[0]>=1&&t[3]>=1&&t[3]<=4}(e))if(r){i="CIDFontType0";n="CIDFontType0C"}else{i="MMType1"===t?"MMType1":"Type1";n="Type1C"}else{w\ +arn("getFontFileType: Unable to detect correct font file Type/Subtype.");i=t;n=a}return[i,n]}function applyStandardFontGlyphMap(e,t){for(const a in t)e[+a]=t[a]}function buildToFontChar(e,t,a){const r=[];let i;for(let a=0,n=e.length;ah){c++;if(c>=bi.length){warn("Ran out of space in fo\ +nt private use area.");break}l=bi[c][0];h=bi[c][1]}const p=l++;0===g&&(g=a);let m=r.get(f);if("string"==typeof m)if(1===m.length)m=m.codePointAt(0);else{if(!u){u=new Map;for(let e=64256;e<=64335;e++){const t=String.fromCharCode(e).normalize("NFKD");t.length>1&&u.set(t,e)}}m=u.get(m)||m.codePointAt(0)}if(m&&!(d=m,bi[0][0]<=d&&d<=bi[0][1]||bi[1][0]<=d&&d<=bi[1][1])&&!o.has(g)){n.set(m,g);o.add(g)}i[p]=g;s[f]=p}var d;return{toFontChar:s,charCodeToGlyphId:i,toUnicodeExtraMap:n,nextAvailableFontCharC\ +ode:l}}function createCmapTable(e,t,a){const r=function getRanges(e,t,a){const r=[];for(const t in e)e[t]>=a||r.push({fontCharCode:0|t,glyphId:e[t]});if(t)for(const[e,i]of t)i>=a||r.push({fontCharCode:e,glyphId:i});0===r.length&&r.push({fontCharCode:0,glyphId:0});r.sort(((e,t)=>e.fontCharCode-t.fontCharCode));const i=[],n=r.length;for(let e=0;e65535?2:1;let n,s,o,c,l="\\0\\0"+string16(i)+"\\0\\0"+string32(4+8*i);for(n=r.length-1;n>=0&&!(r[n][0]<=65535);--n);const h=n+1;r[n][0]<65535&&65535===r[n][1]&&(r[n][1]=65534);const u=r[n][1]<65535?1:0,d=h+u,f=OpenTypeFileBuilder.getSearchParams(d,2);let g,p,m,b,y="",w="",x="",S="",k="",C=0;for(n=0,s=h;n0){w+="ÿÿ";y+="ÿÿ";x+="\\0";S+="\\0\\0"}const v="\\0\\0"+string16(2*d)+string16(f.range)+string16(f.entry)+string16(f.rangeShift)+w+"\\0\\0"+y+x+S+k;let F="",T="";if(i>1){l+="\\0\\0\\n"+string32(4+8*i+4+v.length);F="";for(n=0,s=r.length;ne||!o)&&(o=e);c 123 are\ + reserved for internal usage");s|=1<65535&&(c=65535)}else{o=0;c=255}const h=e.bbox||[0,0,0,0],u=a.unitsPerEm||(e.fontMatrix?1/Math.max(...e.fontMatrix.slice(0,4).map(Math.abs)):1e3),d=e.ascentScaled?1:u/yi,f=a.ascent||Math.round(d*(e.ascent||h[3]));let g=a.descent||Math.round(d*(e.descent||h[1]));g>0&&e.descent>0&&h[1]<0&&(g=-g);const p=a.yMax||f,m=-a.yMin||-g;return"\\0$ô\\0\\0\\0Š»\\0\\0\\0ŒŠ»\\0\\0ß\\x001\\0\\0\\0\\0"+String.fromCharCode(e.fixedPitch?9:0)+"\\0\\0\\0\\0\\0\\0"+string32(r)+str\ +ing32(i)+string32(n)+string32(s)+"*21*"+string16(e.italicAngle?1:0)+string16(o||e.firstChar)+string16(c||e.lastChar)+string16(f)+string16(g)+"\\0d"+string16(p)+string16(m)+"\\0\\0\\0\\0\\0\\0\\0\\0"+string16(e.xHeight)+string16(e.capHeight)+string16(0)+string16(o||e.firstChar)+"\\0"}function createPostTable(e){return"\\0\\0\\0"+string32(Math.floor(65536*e.italicAngle))+"\\0\\0\\0\\0"+string32(e.fixedPitch?1:0)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"}function createPostscriptName(e){return e.replaceAll(/[^\\x21-\\x7E]\ +|[[\\](){}<>/%]/g,"").slice(0,63)}function createNameTable(e,t){t||(t=[[],[]]);const a=[t[0][0]||"Original licence",t[0][1]||e,t[0][2]||"Unknown",t[0][3]||"uniqueID",t[0][4]||e,t[0][5]||"Version 0.11",t[0][6]||createPostscriptName(e),t[0][7]||"Unknown",t[0][8]||"Unknown",t[0][9]||"Unknown"],r=[];let i,n,s,o,c;for(i=0,n=a.length;i0;if((s||o)&&"CIDFontType2"===a&&this.cidEncoding.startsWith("Identity-")){const a=e.cidToGidMap,r=[];applyStandardFontGlyphMap(r,ti());/Arial-?Black/i.test(t)?applyStandardFontGlyphMap(r,ai()):/Calibri/i.test(t)&&applyStandardFontGlyphMap(r,ri());if(a){for(const e in r){const t=r[e];v\ +oid 0!==a[t]&&(r[+e]=a[t])}a.length!==this.toUnicode.length&&e.hasIncludedToUnicodeMap&&this.toUnicode instanceof IdentityToUnicodeMap&&this.toUnicode.forEach((function(e,t){const i=r[e];void 0===a[i]&&(r[+e]=t)}))}this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(e,t){r[+e]=t}));this.toFontChar=r;this.toUnicode=new ToUnicodeMap(r)}else if(/Symbol/i.test(r))this.toFontChar=buildToFontChar(Cr,Fr(),this.differences);else if(/Dingbats/i.test(r))this.toFontChar=buildTo\ +FontChar(vr,Ir(),this.differences);else if(s||o){const e=buildToFontChar(this.defaultEncoding,Fr(),this.differences);"CIDFontType2"!==a||this.cidEncoding.startsWith("Identity-")||this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(t,a){e[+t]=a}));this.toFontChar=e}else{const e=Fr(),a=[];this.toUnicode.forEach(((t,r)=>{if(!this.composite){const a=getUnicodeForGlyph(this.differences[t]||this.defaultEncoding[t],e);-1!==a&&(r=a)}a[+t]=r}));this.composite&&this.toUnicode \ +instanceof IdentityToUnicodeMap&&/Tahoma|Verdana/i.test(t)&&applyStandardFontGlyphMap(a,ti());this.toFontChar=a}amendFallbackToUnicode(e);this.loadedName=r.split("-",1)[0]}checkAndRepair(e,t,a){const r=["OS/2","cmap","head","hhea","hmtx","maxp","name","post","loca","glyf","fpgm","prep","cvt ","CFF "];function readTables(e,t){const a=Object.create(null);a["OS/2"]=null;a.cmap=null;a.head=null;a.hhea=null;a.hmtx=null;a.maxp=null;a.name=null;a.post=null;for(let i=0;i>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0,n=e.pos;e.pos=e.start||0;e.skip(r);const s=e.getBytes(i);e.pos=n;if("head"===t){s[8]=s[9]=s[10]=s[11]=0;s[17]|=32}return{tag:t,checksum:a,length:i,offset:r,data:s}}function readOpenTypeHeader(e){return{version:e.getString(4),numTables:e.getUint16(),searchRange:e.getUint16(),entrySelector:e.getUint16(),rangeShift:e.getUint16()}}functi\ +on sanitizeGlyph(e,t,a,r,i,n){const s={length:0,sizeOfInstructions:0};if(t<0||t>=e.length||a>e.length||a-t<=12)return s;const o=e.subarray(t,a),c=signedInt16(o[2],o[3]),l=signedInt16(o[4],o[5]),h=signedInt16(o[6],o[7]),u=signedInt16(o[8],o[9]);if(c>h){writeSignedInt16(o,2,h);writeSignedInt16(o,6,c)}if(l>u){writeSignedInt16(o,4,u);writeSignedInt16(o,8,l)}const d=signedInt16(o[0],o[1]);if(d<0){if(d<-1)return s;r.set(o,i);s.length=o.length;return s}let f,g=10,p=0;for(f=0;fo.length)return s;if(!n&&b>0){r.set(o.subarray(0,m),i);r.set([0,0],i+m);r.set(o.subarray(y,x),i+m+2);x-=b;o.length-x>3&&(x=x+3&-4);s.length=x;return s}if(o.length-x>3){x=x+3&-4;r.set(o.subarray(0,x),i);s\ +.length=x;return s}r.set(o,i);s.length=o.length;return s}function readNameTable(e){const a=(t.start||0)+e.offset;t.pos=a;const r=[[],[]],i=[],n=e.length,s=a+n;if(0!==t.getUint16()||n<6)return[r,i];const o=t.getUint16(),c=t.getUint16();let l,h;for(l=0;ls)continue;t.pos=n;const o=e.name;if(e.encoding){let a="";for(let r=0,i=e.length;r0&&(l+=e-1)}}else{if(m||y){warn("TT: nested FDEFs not allowed");p=!0}m=!0;u=l;s=d.pop();t.functionsDefined[s]={data:c,i:l}}else if(!m&&!y){s=d.at(-1);if(isNaN(s))info("TT: CALL empty stack (or invalid entry).");else{t.functionsUsed[s]=!0;if(s in t.functionsStackDeltas){const e=d.length+t.functionsStackDeltas[s];if(e<0){warn("TT: CALL invalid functions stack delta.");t.hintsValid=!1;return}d.length=e}else if(s in t.functio\ +nsDefined&&!g.includes(s)){f.push({data:c,i:l,stackTop:d.length-1});g.push(s);o=t.functionsDefined[s];if(!o){warn("TT: CALL non-existent function");t.hintsValid=!1;return}c=o.data;l=o.i}}}if(!m&&!y){let t=0;e<=142?t=i[e]:e>=192&&e<=223?t=-1:e>=224&&(t=-2);if(e>=113&&e<=117){r=d.pop();isNaN(r)||(t=2*-r)}for(;t<0&&d.length>0;){d.pop();t++}for(;t>0;){d.push(NaN);t--}}}t.tooComplexToFollowFunctions=p;const w=[c];l>c.length&&w.push(new Uint8Array(l-c.length));if(u>h){warn("TT: complementing a missing\ + function tail");w.push(new Uint8Array([34,45]))}!function foldTTTable(e,t){if(t.length>1){let a,r,i=0;for(a=0,r=t.length;a>>0,n=[];for(let t=0;t>>0);const s={ttcTag:t,majorVersion:a,minorVersion:r,numFonts:i,offsetTable:n};switch(a){case 1:return s;case 2:s.dsigTag=e.getInt32()>>>0;s.dsigLength=e.getInt32()>>>0;s.dsigOffset=e.getInt32()>>>0;return s}throw new FormatError(`Invalid TrueType Collection majorVersion: ${a}.`)}(e),i=t.split("+");let n;for(let s=0;s0||!(a.cMap instanceof IdentityCMap));if("OTTO"===n.version&&!t||!s.head||!s.hhea||!s.maxp||!s.post){c=new Stream(s["CFF "].data);o=new CFFFont(c,a);return this.convert(e,o,a)}delete s.glyf;delete s.loca;delete s.fpgm;delete s.prep;delete s["cvt "];this.isOpenType=!0}if(!s.maxp)throw new FormatError(\'Required "maxp" table is not found\');t.pos=(t.start||0)+s.maxp.offset;let h=t.getInt32();const u=t.getUint16();if(65536!==h&&20480!==h){if(6===s.maxp.length)h=20480;else{if(!(s.maxp.length>=\ +32))throw new FormatError(\'"maxp" table has a wrong version number\');h=65536}!function writeUint32(e,t,a){e[t+3]=255&a;e[t+2]=a>>>8;e[t+1]=a>>>16;e[t]=a>>>24}(s.maxp.data,0,h)}if(a.scaleFactors?.length===u&&l){const{scaleFactors:e}=a,t=int16(s.head.data[50],s.head.data[51]),r=new GlyfTable({glyfTable:s.glyf.data,isGlyphLocationsLong:t,locaTable:s.loca.data,numGlyphs:u});r.scale(e);const{glyf:i,loca:n,isLocationLong:o}=r.write();s.glyf.data=i;s.loca.data=n;if(o!==!!t){s.head.data[50]=0;s.head.dat\ +a[51]=o?1:0}const c=s.hmtx.data;for(let t=0;t>8&255;c[a+1]=255&r;writeSignedInt16(c,a+2,Math.round(e[t]*signedInt16(c[a+2],c[a+3])))}}let d=u+1,f=!0;if(d>65535){f=!1;d=u;warn("Not enough space in glyfs to duplicate first glyph.")}let g=0,p=0;if(h>=65536&&s.maxp.length>=32){t.pos+=8;if(t.getUint16()>2){s.maxp.data[14]=0;s.maxp.data[15]=2}t.pos+=4;g=t.getUint16();t.pos+=4;p=t.getUint16()}s.maxp.data[4]=d>>8;s.maxp.data[5]=255&d;const\ + m=function sanitizeTTPrograms(e,t,a,r){const i={functionsDefined:[],functionsUsed:[],functionsStackDeltas:[],tooComplexToFollowFunctions:!1,hintsValid:!0};e&&sanitizeTTProgram(e,i);t&&sanitizeTTProgram(t,i);e&&function checkInvalidFunctions(e,t){if(!e.tooComplexToFollowFunctions)if(e.functionsDefined.length>t){warn("TT: more functions defined than expected");e.hintsValid=!1}else for(let a=0,r=e.functionsUsed.length;at){warn("TT: invalid function id: "+a);e.hintsValid=!1;return}if(e\ +.functionsUsed[a]&&!e.functionsDefined[a]){warn("TT: undefined function: "+a);e.hintsValid=!1;return}}}(i,r);if(a&&1&a.length){const e=new Uint8Array(a.length+1);e.set(a.data);a.data=e}return i.hintsValid}(s.fpgm,s.prep,s["cvt "],g);if(!m){delete s.fpgm;delete s.prep;delete s["cvt "]}!function sanitizeMetrics(e,t,a,r,i,n){if(!t){a&&(a.data=null);return}e.pos=(e.start||0)+t.offset;e.pos+=4;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;const s=e.getUint16();e.pos\ ++=8;e.pos+=2;let o=e.getUint16();if(0!==s){if(!(2&int16(r.data[44],r.data[45]))){t.data[22]=0;t.data[23]=0}}if(o>i){info(`The numOfMetrics (${o}) should not be greater than the numGlyphs (${i}).`);o=i;t.data[34]=(65280&o)>>8;t.data[35]=255&o}const c=i-o-(a.length-4*o>>1);if(c>0){const e=new Uint8Array(a.length+2*c);e.set(a.data);if(n){e[a.length]=a.data[2];e[a.length+1]=a.data[3]}a.data=e}}(t,s.hhea,s.hmtx,s.head,d,f);if(!s.head)throw new FormatError(\'Required "head" table is not found\');!functi\ +on sanitizeHead(e,t,a){const r=e.data,i=function int32(e,t,a,r){return(e<<24)+(t<<16)+(a<<8)+r}(r[0],r[1],r[2],r[3]);if(i>>16!=1){info("Attempting to fix invalid version in head table: "+i);r[0]=0;r[1]=1;r[2]=0;r[3]=0}const n=int16(r[50],r[51]);if(n<0||n>1){info("Attempting to fix invalid indexToLocFormat in head table: "+n);const e=t+1;if(a===e<<1){r[50]=0;r[51]=0}else{if(a!==e<<2)throw new FormatError("Could not fix indexToLocFormat: "+n);r[50]=0;r[51]=1}}}(s.head,u,l?s.loca.length:0);let b=Ob\ +ject.create(null);if(l){const e=int16(s.head.data[50],s.head.data[51]),t=function sanitizeGlyphLocations(e,t,a,r,i,n,s){let o,c,l;if(r){o=4;c=function fontItemDecodeLong(e,t){return e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3]};l=function fontItemEncodeLong(e,t,a){e[t]=a>>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}}else{o=2;c=function fontItemDecode(e,t){return e[t]<<9|e[t+1]<<1};l=function fontItemEncode(e,t,a){e[t]=a>>9&255;e[t+1]=a>>1&255}}const h=n?a+1:a,u=o*(1+h),d=new Uint8Array(u);d.se\ +t(e.data.subarray(0,u));e.data=d;const f=t.data,g=f.length,p=new Uint8Array(g);let m,b;const y=[];for(m=0,b=0;mg&&(e=g);y.push({index:m,offset:e,endOffset:0})}y.sort(((e,t)=>e.offset-t.offset));for(m=0;me.index-t.index));for(m=0;ms&&(s=e.sizeOfInstructions);S+=t;l(d,b,S)}if(0===S){const e=new Uint8Array([0,1,0,0,0,0,0,0,0,0,0,0,0,0,49,0]);for(m=0,b=o;ma+S)t.data=p.subarray(0,a+S);else{t.data=new Uint8Array(a+S);t.data.set(p.subarray(0,S))}t.data.set(p.subarray(0,a),S);l(e.data,d\ +.length-o,S+a)}else t.data=p.subarray(0,S);return{missingGlyphs:x,maxSizeOfInstructions:s}}(s.loca,s.glyf,u,e,m,f,p);b=t.missingGlyphs;if(h>=65536&&s.maxp.length>=32){s.maxp.data[26]=t.maxSizeOfInstructions>>8;s.maxp.data[27]=255&t.maxSizeOfInstructions}}if(!s.hhea)throw new FormatError(\'Required "hhea" table is not found\');if(0===s.hhea.data[10]&&0===s.hhea.data[11]){s.hhea.data[10]=255;s.hhea.data[11]=255}const y={unitsPerEm:int16(s.head.data[18],s.head.data[19]),yMax:signedInt16(s.head.data[4\ +2],s.head.data[43]),yMin:signedInt16(s.head.data[38],s.head.data[39]),ascent:signedInt16(s.hhea.data[4],s.hhea.data[5]),descent:signedInt16(s.hhea.data[6],s.hhea.data[7]),lineGap:signedInt16(s.hhea.data[8],s.hhea.data[9])};this.ascent=y.ascent/y.unitsPerEm;this.descent=y.descent/y.unitsPerEm;this.lineGap=y.lineGap/y.unitsPerEm;if(this.cssFontInfo?.lineHeight){this.lineHeight=this.cssFontInfo.metrics.lineHeight;this.lineGap=this.cssFontInfo.metrics.lineGap}else this.lineHeight=this.ascent-this.de\ +scent+this.lineGap;s.post&&function readPostScriptTable(e,a,r){const i=(t.start||0)+e.offset;t.pos=i;const n=i+e.length,s=t.getInt32();t.skip(28);let o,c,l=!0;switch(s){case 65536:o=jr;break;case 131072:const e=t.getUint16();if(e!==r){l=!1;break}const i=[];for(c=0;c=32768){l=!1;break}i.push(e)}if(!l)break;const h=[],u=[];for(;t.pos65535)throw new FormatError("Max size of\ + CID is 65,535");let i=-1;t?i=r:void 0!==e[r]&&(i=e[r]);i>=0&&i>>0;let h=!1;if(o?.platformId!==i||o?.encodingId!==n){if(0!==i||0!==n&&1!==n&&3!==n)if(1===i&&0===n)h=!0\ +;else if(3!==i||1!==n||!r&&o){if(a&&3===i&&0===n){h=!0;let a=!0;if(e>3;e.push(r);a=Math.max(r,a)}const r=[];for(let e=0;e<=a;e++)r.push({firstCode:t.getUint16(),entryCount:t.getUint16(),idDelta:signedInt16(t.getByte(),t.getByte()),idRangePos:t.pos+t.getUint16()});for(let a=0;a<256;a++)if(0===e[a]){t.pos=r[0].idRangePos+2*a;f=t.getUint16();u.push({charCode:a,glyphId:f})}else{const i=r[e[a]];for(d=0;d>1;t.skip(6);const a=[];let r;for(r=0;r>1)-(e-r);i.offsetIndex=s;o=Math.max(o,s+i.end-i.start+1)}else i.offsetIndex=-1}const c=[];for(d=0;d>>0;for(d=0;d>>0,a=t.getInt32()>>>0;let r=t.getInt32()>>>0;for(let t=e;t<=a;t++)u.push({charCode:t,glyphId:r++})}}}u.sort(((e,t)=>e.charCode-t.charCode));const g=[],p=new Set;for(const e of u){const{charCode:t}=e;if(!p.has(t)){p.add(t);g.push(e)}}return{platformId:o.platformId,encodingId:o.encodingId,mappings:g,hasShortCmap:h}}(s.cmap,t,this.isSymbolicFont,a.hasEncoding),r=e.platformId,i=e.encodingId,n=e.mappings;let o=[],c=!1;!a.hasEncoding||"MacRomanEncoding"!==a.baseEncodingName&&"WinAn\ +siEncoding"!==a.baseEncodingName||(o=getEncoding(a.baseEncodingName));if(a.hasEncoding&&!this.isSymbolicFont&&(3===r&&1===i||1===r&&0===i)){const e=Fr();for(let t=0;t<256;t++){let s;s=void 0!==this.differences[t]?this.differences[t]:o.length&&""!==o[t]?o[t]:Ar[t];if(!s)continue;const c=recoverGlyphName(s,e);let l;3===r&&1===i?l=e[c]:1===r&&0===i&&(l=Sr.indexOf(c));if(void 0===l){if(!a.glyphNames&&a.hasIncludedToUnicodeMap&&!(this.toUnicode instanceof IdentityToUnicodeMap)){const e=this.toUnicode\ +.get(t);e&&(l=e.codePointAt(0))}if(void 0===l)continue}for(const e of n)if(e.charCode===l){w[t]=e.glyphId;break}}}else if(0===r){for(const e of n)w[e.charCode]=e.glyphId;c=!0}else if(3===r&&0===i)for(const e of n){let t=e.charCode;t>=61440&&t<=61695&&(t&=255);w[t]=e.glyphId}else for(const e of n)w[e.charCode]=e.glyphId;if(a.glyphNames&&(o.length||this.differences.length))for(let e=0;e<256;++e){if(!c&&void 0!==w[e])continue;const t=this.differences[e]||o[e];if(!t)continue;const r=a.glyphNames.ind\ +exOf(t);r>0&&hasGlyph(r)&&(w[e]=r)}}0===w.length&&(w[0]=0);let x=d-1;f||(x=0);if(!a.cssFontInfo){const e=adjustMapping(w,hasGlyph,x,this.toUnicode);this.toFontChar=e.toFontChar;s.cmap={tag:"cmap",data:createCmapTable(e.charCodeToGlyphId,e.toUnicodeExtraMap,d)};s["OS/2"]&&function validateOS2Table(e,t){t.pos=(t.start||0)+e.offset;const a=t.getUint16();t.skip(60);const r=t.getUint16();if(a<4&&768&r)return!1;if(t.getUint16()>t.getUint16())return!1;t.skip(6);if(0===t.getUint16())return!1;e.data[8]=e\ +.data[9]=0;return!0}(s["OS/2"],t)||(s["OS/2"]={tag:"OS/2",data:createOS2Table(a,e.charCodeToGlyphId,y)})}if(!l)try{c=new Stream(s["CFF "].data);o=new CFFParser(c,a,Rr).parse();o.duplicateFirstGlyph();const e=new CFFCompiler(o);s["CFF "].data=e.compile()}catch{warn("Failed to compile font "+a.loadedName)}if(s.name){const[t,r]=readNameTable(s.name);s.name.data=createNameTable(e,t);this.psName=t[0][6]||null;a.composite||function adjustTrueTypeToUnicode(e,t,a){if(e.isInternalFont)return;if(e.hasIncl\ +udedToUnicodeMap)return;if(e.hasEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;if(!t)return;if(0===a.length)return;if(e.defaultEncoding===kr)return;for(const e of a)if(!isWinNameRecord(e))return;const r=kr,i=[],n=Fr();for(const e in r){const t=r[e];if(""===t)continue;const a=n[t];void 0!==a&&(i[e]=String.fromCharCode(a))}i.length>0&&e.toUnicode.amend(i)}(a,this.isSymbolicFont,r)}else s.name={tag:"name",data:createNameTable(this.name)};const S=new OpenTypeFileBuilder(n.vers\ +ion);for(const e in s)S.addTable(e,s[e].data);return S.toArray()}convert(e,a,r){r.fixedPitch=!1;r.builtInEncoding&&function adjustType1ToUnicode(e,t){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(t===e.defaultEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;const a=[],r=Fr();for(const i in t){if(e.hasEncoding&&(e.baseEncodingName||void 0!==e.differences[i]))continue;const n=getUnicodeForGlyph(t[i],r);-1!==n&&(a[i]=String.fromCharCode(n))}a.length>0&&e.toU\ +nicode.amend(a)}(r,r.builtInEncoding);let i=1;a instanceof CFFFont&&(i=a.numGlyphs-1);const n=a.getGlyphMapping(r);let s=null,o=n,c=null;if(!r.cssFontInfo){s=adjustMapping(n,a.hasGlyphId.bind(a),i,this.toUnicode);this.toFontChar=s.toFontChar;o=s.charCodeToGlyphId;c=s.toUnicodeExtraMap}const l=a.numGlyphs;function getCharCodes(e,t){let a=null;for(const r in e)t===e[r]&&(a||=[]).push(0|r);return a}function createCharCode(e,t){for(const a in e)if(t===e[a])return 0|a;s.charCodeToGlyphId[s.nextAvaila\ +bleFontCharCode]=t;return s.nextAvailableFontCharCode++}const h=a.seacs;if(s&&h?.length){const e=r.fontMatrix||t,i=a.getCharset(),o=Object.create(null);for(let t in h){t|=0;const a=h[t],r=Ar[a[2]],c=Ar[a[3]],l=i.indexOf(r),u=i.indexOf(c);if(l<0||u<0)continue;const d={x:a[0]*e[0]+a[1]*e[2]+e[4],y:a[0]*e[1]+a[1]*e[3]+e[5]},f=getCharCodes(n,t);if(f)for(const e of f){const t=s.charCodeToGlyphId,a=createCharCode(t,l),r=createCharCode(t,u);o[e]={baseFontCharCode:a,accentFontCharCode:r,accentOffset:d}}\ +}r.seacMap=o}const u=r.fontMatrix?1/Math.max(...r.fontMatrix.slice(0,4).map(Math.abs)):1e3,d=new OpenTypeFileBuilder("OTTO");d.addTable("CFF ",a.data);d.addTable("OS/2",createOS2Table(r,o));d.addTable("cmap",createCmapTable(o,c,l));d.addTable("head","\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0_<õ\\0\\0"+safeString16(u)+"\\0\\0\\0\\0ž\\v~\'\\0\\0\\0\\0ž\\v~\'\\0\\0"+safeString16(r.descent)+"ÿ"+safeString16(r.ascent)+string16(r.italicAngle?2:0)+"\\0\\0\\0\\0\\0\\0\\0");d.addTable("hhea","\\0\\0\\0"+safeString16(r.ascent)+safeString16(r.des\ +cent)+"\\0\\0ÿÿ\\0\\0\\0\\0\\0\\0"+safeString16(r.capHeight)+safeString16(Math.tan(r.italicAngle)*r.xHeight)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"+string16(l));d.addTable("hmtx",function fontFieldsHmtx(){const e=a.charstrings,t=a.cff?a.cff.widths:null;let r="\\0\\0\\0\\0";for(let a=1,i=l;a=65520&&e<=65535?0:e>=62976&&e<=63743?Tr()[e]||e:173===e?45:e}(a)}this.isType3Font&&(i=a);let h=null;if(this.seacMap?.[e]){l=!0;const t=this.seacMap[e];a=t.baseFontCharCode;h={fontChar:String.fromCodePoint(t.accentFontCharCode),offset:t.accentOffset}}let u="";"number"==typeof a&&(a<=1114111?u=String.fromCodePoint(a):warn(`charToGlyph - invalid fontCharCode: ${a}`));if(this.missingFile&&this.vertical&&1===u.length){c\ +onst e=_r()[u.charCodeAt(0)];e&&(u=c=String.fromCharCode(e))}n=new fonts_Glyph(e,u,c,h,r,o,i,t,l);return this._glyphCache[e]=n}charsToGlyphs(e){let t=this._charsCache[e];if(t)return t;t=[];if(this.cMap){const a=Object.create(null),r=e.length;let i=0;for(;it.length%2==1,r=this.toUnicode instanceof IdentityToUnicodeMap?e=>this.toUnicode.charCodeOf(e):e=>this.toUnicode.charCodeOf(Stri\ +ng.fromCodePoint(e));for(let i=0,n=e.length;i55295&&(n<57344||n>65533)&&i++;if(this.toUnicode){const e=r(n);if(-1!==e){if(hasCurrentBufErrors()){t.push(a.join(""));a.length=0}for(let t=(this.cMap?this.cMap.getCharCodeLength(e):1)-1;t>=0;t--)a.push(String.fromCharCode(e>>8*t&255));continue}}if(!hasCurrentBufErrors()){t.push(a.join(""));a.length=0}a.push(String.fromCodePoint(n))}t.push(a.join(""));return t}}class ErrorFont{constructor(e){this.error=e;this.loadedN\ +ame="g_font_error";this.missingFile=!0}charsToGlyphs(){return[]}encodeString(e){return[e]}exportData(){return{error:this.error}}}const Si=2,Ai=3,ki=4,Ci=5,vi=6,Fi=7;class Pattern{constructor(){unreachable("Cannot initialize Pattern.")}static parseShading(e,t,a,r,i,n){const s=e instanceof BaseStream?e.dict:e,o=s.get("ShadingType");try{switch(o){case Si:case Ai:return new RadialAxialShading(s,t,a,r,i,n);case ki:case Ci:case vi:case Fi:return new MeshShading(e,t,a,r,i,n);default:throw new FormatErr\ +or("Unsupported ShadingType: "+o)}}catch(e){if(e instanceof MissingDataException)throw e;warn(e);return new DummyShading}}}class BaseShading{static SMALL_NUMBER=1e-6;getIR(){unreachable("Abstract method `getIR` called.")}}class RadialAxialShading extends BaseShading{constructor(e,t,a,r,i,n){super();this.shadingType=e.get("ShadingType");let s=0;this.shadingType===Si?s=4:this.shadingType===Ai&&(s=6);this.coordsArr=e.getArray("Coords");if(!isNumberArray(this.coordsArr,s))throw new FormatError("Radi\ +alAxialShading: Invalid /Coords array.");const o=ColorSpaceUtils.parse({cs:e.getRaw("CS")||e.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.bbox=lookupNormalRect(e.getArray("BBox"),null);let c=0,l=1;const h=e.getArray("Domain");isNumberArray(h,2)&&([c,l]=h);let u=!1,d=!1;const f=e.getArray("Extend");(function isBooleanArray(e,t){return Array.isArray(e)&&(null===t||e.length===t)&&e.every((e=>"boolean"==typeof e))})(f,2)&&([u,d]=f\ +);if(!(this.shadingType!==Ai||u&&d)){const[e,t,a,r,i,n]=this.coordsArr,s=Math.hypot(e-r,t-i);a<=n+s&&n<=a+s&&warn("Unsupported radial gradient.")}this.extendStart=u;this.extendEnd=d;const g=e.getRaw("Function"),p=r.create(g,!0),m=(l-c)/840,b=this.colorStops=[];if(c>=l||m<=0){info("Bad shading domain.");return}const y=new Float32Array(o.numComps),w=new Float32Array(1);let x=0;w[0]=c;p(w,0,y,0);const S=new Uint8ClampedArray(3);o.getRgb(y,0,S);let[k,C,v]=S;b.push([0,Util.makeHexColor(k,C,v)]);let F\ +=1;w[0]=c+m;p(w,0,y,0);o.getRgb(y,0,S);let[T,O,M]=S,D=T-k+1,R=O-C+1,N=M-v+1,E=T-k-1,L=O-C-1,j=M-v-1;for(let e=2;e<840;e++){w[0]=c+e*m;p(w,0,y,0);o.getRgb(y,0,S);const[t,a,r]=S,i=e-x;D=Math.min(D,(t-k+1)/i);R=Math.min(R,(a-C+1)/i);N=Math.min(N,(r-v+1)/i);E=Math.max(E,(t-k-1)/i);L=Math.max(L,(a-C-1)/i);j=Math.max(j,(r-v-1)/i);if(!(E<=D&&L<=R&&j<=N)){const e=Util.makeHexColor(T,O,M);b.push([F/840,e]);D=t-T+1;R=a-O+1;N=r-M+1;E=t-T-1;L=a-O-1;j=r-M-1;x=F;k=T;C=O;v=M}F=e;T=t;O=a;M=r}b.push([1,Util.make\ +HexColor(T,O,M)]);let _="transparent";e.has("Background")&&(_=o.getRgbHex(e.get("Background"),0));if(!u){b.unshift([0,_]);b[1][0]+=BaseShading.SMALL_NUMBER}if(!d){b.at(-1)[0]-=BaseShading.SMALL_NUMBER;b.push([1,_])}this.colorStops=b}getIR(){const{coordsArr:e,shadingType:t}=this;let a,r,i,n,s;if(t===Si){r=[e[0],e[1]];i=[e[2],e[3]];n=null;s=null;a="axial"}else if(t===Ai){r=[e[0],e[1]];i=[e[3],e[4]];n=e[2];s=e[5];a="radial"}else unreachable(`getPattern type unknown: ${t}`);return["RadialAxial",a,th\ +is.bbox,this.colorStops,r,i,n,s]}}class MeshStreamReader{constructor(e,t){this.stream=e;this.context=t;this.buffer=0;this.bufferLength=0;const a=t.numComps;this.tmpCompsBuf=new Float32Array(a);const r=t.colorSpace.numComps;this.tmpCsCompsBuf=t.colorFn?new Float32Array(r):this.tmpCompsBuf}get hasData(){if(this.stream.end)return this.stream.pos0)return!0;const e=this.stream.getByte();if(e<0)return!1;this.buffer=e;this.bufferLength=8;return!0}readBits(e){const{\ +stream:t}=this;let{buffer:a,bufferLength:r}=this;if(32===e){if(0===r)return t.getInt32()>>>0;a=a<<24|t.getByte()<<16|t.getByte()<<8|t.getByte();const e=t.getByte();this.buffer=e&(1<>r)>>>0}if(8===e&&0===r)return t.getByte();for(;r>r}align(){this.buffer=0;this.bufferLength=0}readFlag(){return this.readBits(this.context.bitsPerFlag)}readCoordinate(){const{bitsPerCoordinate:e,decode:t}=\ +this.context,a=this.readBits(e),r=this.readBits(e),i=e<32?1/((1<n?n:e;t=t>s?s:t;a=ae*i[t])):a;let s,o=-2;const c=[];for(const[e,t]of r.map(((e,t)=>[e,t])).sort((([e],[t])=>e-t)))if(-1!==e)if(e===o+1){s.push(n[t]);o+=1}else{o=e;s=[n[t]];c.push(e,s)}return c}(e),a=new Dict(null);a.set("B\ +aseFont",Name.get(e));a.set("Type",Name.get("Font"));a.set("Subtype",Name.get("CIDFontType2"));a.set("Encoding",Name.get("Identity-H"));a.set("CIDToGIDMap",Name.get("Identity"));a.set("W",t);a.set("FirstChar",t[0]);a.set("LastChar",t.at(-2)+t.at(-1).length-1);const r=new Dict(null);a.set("FontDescriptor",r);const i=new Dict(null);i.set("Ordering","Identity");i.set("Registry","Adobe");i.set("Supplement",0);a.set("CIDSystemInfo",i);return a}class PostScriptParser{constructor(e){this.lexer=e;this.o\ +perators=[];this.token=null;this.prev=null}nextToken(){this.prev=this.token;this.token=this.lexer.getToken()}accept(e){if(this.token.type===e){this.nextToken();return!0}return!1}expect(e){if(this.accept(e))return!0;throw new FormatError(`Unexpected symbol: found ${this.token.type} expected ${e}.`)}parse(){this.nextToken();this.expect(yn.LBRACE);this.parseBlock();this.expect(yn.RBRACE);return this.operators}parseBlock(){for(;;)if(this.accept(yn.NUMBER))this.operators.push(this.prev.value);else if\ +(this.accept(yn.OPERATOR))this.operators.push(this.prev.value);else{if(!this.accept(yn.LBRACE))return;this.parseCondition()}}parseCondition(){const e=this.operators.length;this.operators.push(null,null);this.parseBlock();this.expect(yn.RBRACE);if(this.accept(yn.IF)){this.operators[e]=this.operators.length;this.operators[e+1]="jz"}else{if(!this.accept(yn.LBRACE))throw new FormatError("PS Function: error parsing conditional.");{const t=this.operators.length;this.operators.push(null,null);const a=t\ +his.operators.length;this.parseBlock();this.expect(yn.RBRACE);this.expect(yn.IFELSE);this.operators[t]=this.operators.length;this.operators[t+1]="j";this.operators[e]=a;this.operators[e+1]="jz"}}}}const yn={LBRACE:0,RBRACE:1,NUMBER:2,OPERATOR:3,IF:4,IFELSE:5};class PostScriptToken{static get opCache(){return shadow(this,"opCache",Object.create(null))}constructor(e,t){this.type=e;this.value=t}static getOperator(e){return PostScriptToken.opCache[e]||=new PostScriptToken(yn.OPERATOR,e)}static get L\ +BRACE(){return shadow(this,"LBRACE",new PostScriptToken(yn.LBRACE,"{"))}static get RBRACE(){return shadow(this,"RBRACE",new PostScriptToken(yn.RBRACE,"}"))}static get IF(){return shadow(this,"IF",new PostScriptToken(yn.IF,"IF"))}static get IFELSE(){return shadow(this,"IFELSE",new PostScriptToken(yn.IFELSE,"IFELSE"))}}class PostScriptLexer{constructor(e){this.stream=e;this.nextChar();this.strBuf=[]}nextChar(){return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for\ +(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return new PostScriptToken(yn.NUMBER,this.getNumber());case 123:this.nextChar();return PostScriptToken.LBRACE;case 125:this.nextChar();return PostScriptToken.RBRACE}const a=this.strBuf;a.length=0;a[0]=String.fromCharCode(t);for(;(t=this.nextChar())>=0&&(t>=65&&t<=9\ +0||t>=97&&t<=122);)a.push(String.fromCharCode(t));const r=a.join("");switch(r.toLowerCase()){case"if":return PostScriptToken.IF;case"ifelse":return PostScriptToken.IFELSE;default:return PostScriptToken.getOperator(r)}}getNumber(){let e=this.currentChar;const t=this.strBuf;t.length=0;t[0]=String.fromCharCode(e);for(;(e=this.nextChar())>=0&&(e>=48&&e<=57||45===e||46===e);)t.push(String.fromCharCode(e));const a=parseFloat(t.join(""));if(isNaN(a))throw new FormatError(`Invalid floating point number:\ + ${a}`);return a}}class BaseLocalCache{constructor(e){this._onlyRefs=!0===e?.onlyRefs;if(!this._onlyRefs){this._nameRefMap=new Map;this._imageMap=new Map}this._imageCache=new RefSetCache}getByName(e){this._onlyRefs&&unreachable("Should not call `getByName` method.");const t=this._nameRefMap.get(e);return t?this.getByRef(t):this._imageMap.get(e)||null}getByRef(e){return this._imageCache.get(e)||null}set(e,t,a){unreachable("Abstract method `set` called.")}}class LocalImageCache extends BaseLocalCa\ +che{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalImageCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalColorSpaceCache extends BaseLocalCache{set(e=null,t=null,a){if("string"!=typeof e&&!t)throw new Error(\'LocalColorSpaceCache.set - expected "name" and/or "ref" argument.\');if(t){if(this._imageCache.has(t))return;null!==e&&this._nameRefM\ +ap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalFunctionCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalFunctionCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class LocalGStateCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalGStateCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(\ +t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalTilingPatternCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalTilingPatternCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class RegionalImageCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'RegionalImageCache.set - \ +expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class GlobalColorSpaceCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'GlobalColorSpaceCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}clear(){this._imageCache.clear()}}class GlobalImageCache{static NUM_PAGES_THRESHOLD=2;static MIN_IMAGES_TO_CACHE=10;static MAX_BYTE_SIZE=5e7;#H=new RefSet;constructor(){this._refCache=new R\ +efSetCache;this._imageCache=new RefSetCache}get#W(){let e=0;for(const t of this._imageCache)e+=t.byteSize;return e}get#z(){return!(this._imageCache.size+e)):null}class PDFFunction{static getSampleArray(e,t,a,r){let i,n,s=1;for(i=0,n=e.length;i>c)*h;l&=(1<0&&(d=n[u-1]);let f=a[1];u>1,c=r.length>>1,l=new PostScriptEvaluator(s),h=Object.create(null);let u=8192;const d=new Float32Array(c);return function constructPostScriptFn(e,t,a,r){let n,s,f="";const g=d;for(n=0;ne&&(s=e)}m[n]=s}if(u>0){u--;h[f]=m}a.set(m,r)}}}function isPDFFunction(e){let t;if(e instanceof Dict)t=e;else{if(!(e instanceof BaseStream))return!1;t=e.dict}return t.has("FunctionType")}class PostScriptStack{static MAX_STACK_SIZE=100;constructor(e){this.stack=e?Array.from(e):[]}push(e){if(this.stack.length\ +>=PostScriptStack.MAX_STACK_SIZE)throw new Error("PostScript function stack overflow.");this.stack.push(e)}pop(){if(this.stack.length<=0)throw new Error("PostScript function stack underflow.");return this.stack.pop()}copy(e){if(this.stack.length+e>=PostScriptStack.MAX_STACK_SIZE)throw new Error("PostScript function stack overflow.");const t=this.stack;for(let a=t.length-e,r=e-1;r>=0;r--,a++)t.push(t[a])}index(e){this.push(this.stack[this.stack.length-e-1])}roll(e,t){const a=this.stack,r=a.length\ +-e,i=a.length-1,n=r+(t-Math.floor(t/e)*e);for(let e=r,t=i;e0?t.push(s<>o);break;case"ceiling":s=t.pop();t.push(Math.ceil(s));break;case"copy":s=t.pop();t.copy(s);break;case"cos":s=t.pop();t.push(Math.cos(s%360/180*Math.PI))\ +;break;case"cvi":s=0|t.pop();t.push(s);break;case"cvr":break;case"div":o=t.pop();s=t.pop();t.push(s/o);break;case"dup":t.copy(1);break;case"eq":o=t.pop();s=t.pop();t.push(s===o);break;case"exch":t.roll(2,1);break;case"exp":o=t.pop();s=t.pop();t.push(s**o);break;case"false":t.push(!1);break;case"floor":s=t.pop();t.push(Math.floor(s));break;case"ge":o=t.pop();s=t.pop();t.push(s>=o);break;case"gt":o=t.pop();s=t.pop();t.push(s>o);break;case"idiv":o=t.pop();s=t.pop();t.push(s/o|0);break;case"index":s\ +=t.pop();t.index(s);break;case"le":o=t.pop();s=t.pop();t.push(s<=o);break;case"ln":s=t.pop();t.push(Math.log(s));break;case"log":s=t.pop();t.push(Math.log10(s));break;case"lt":o=t.pop();s=t.pop();t.push(s=t?new AstLiteral(t):e.max<=t?e:new AstMin(e,t)}class PostScriptCompiler{compile(e,t,a){const r=[],i=[],n=t.length>>1,s=a.length>>1;let o,c,l,h,u,d,f,g,p=0;for(let e=0;et.min){o.unshift("Math.max(",n,", ");o.push(")")}if(s4){r=!0;t=0}else{r=!1;t=1}const c=[];for(n=0;n=0&&"ET"===An[e];--e)An[e]="EN";for(let e=n+1;e0&&(t=An[n-1]);let a=u;e+1g&&isOdd(g)&&(m=g)}for(g=p;g>=m;--g){let e=-1;for(n=0,s=c.length;n=0){reverseValues(Sn,e,n);e=-1}}else e<0&&(e=n);e>=0&&reverseValues(Sn,e,c.length)}for(n=0,s=Sn.length;n"!==e||(Sn[n]="")}return createBidiText(Sn.join(""),r)}const kn={style:"normal",weight:"normal"},Cn={style:"normal",weight:"bold"},vn={style:"italic",weight:"normal"},Fn={style:"italic",weight:"bold"},In=new Map([["Times-Roman",{local:["Times New Roman","Times-\ +Roman","Times","Liberation Serif","Nimbus Roman","Nimbus Roman L","Tinos","Thorndale","TeX Gyre Termes","FreeSerif","Linux Libertine O","Libertinus Serif","DejaVu Serif","Bitstream Vera Serif","Ubuntu"],style:kn,ultimate:"serif"}],["Times-Bold",{alias:"Times-Roman",style:Cn,ultimate:"serif"}],["Times-Italic",{alias:"Times-Roman",style:vn,ultimate:"serif"}],["Times-BoldItalic",{alias:"Times-Roman",style:Fn,ultimate:"serif"}],["Helvetica",{local:["Helvetica","Helvetica Neue","Arial","Arial Nova","\ +Liberation Sans","Arimo","Nimbus Sans","Nimbus Sans L","A030","TeX Gyre Heros","FreeSans","DejaVu Sans","Albany","Bitstream Vera Sans","Arial Unicode MS","Microsoft Sans Serif","Apple Symbols","Cantarell"],path:"LiberationSans-Regular.ttf",style:kn,ultimate:"sans-serif"}],["Helvetica-Bold",{alias:"Helvetica",path:"LiberationSans-Bold.ttf",style:Cn,ultimate:"sans-serif"}],["Helvetica-Oblique",{alias:"Helvetica",path:"LiberationSans-Italic.ttf",style:vn,ultimate:"sans-serif"}],["Helvetica-BoldObli\ +que",{alias:"Helvetica",path:"LiberationSans-BoldItalic.ttf",style:Fn,ultimate:"sans-serif"}],["Courier",{local:["Courier","Courier New","Liberation Mono","Nimbus Mono","Nimbus Mono L","Cousine","Cumberland","TeX Gyre Cursor","FreeMono","Linux Libertine Mono O","Libertinus Mono"],style:kn,ultimate:"monospace"}],["Courier-Bold",{alias:"Courier",style:Cn,ultimate:"monospace"}],["Courier-Oblique",{alias:"Courier",style:vn,ultimate:"monospace"}],["Courier-BoldOblique",{alias:"Courier",style:Fn,ultim\ +ate:"monospace"}],["ArialBlack",{local:["Arial Black"],style:{style:"normal",weight:"900"},fallback:"Helvetica-Bold"}],["ArialBlack-Bold",{alias:"ArialBlack"}],["ArialBlack-Italic",{alias:"ArialBlack",style:{style:"italic",weight:"900"},fallback:"Helvetica-BoldOblique"}],["ArialBlack-BoldItalic",{alias:"ArialBlack-Italic"}],["ArialNarrow",{local:["Arial Narrow","Liberation Sans Narrow","Helvetica Condensed","Nimbus Sans Narrow","TeX Gyre Heros Cn"],style:kn,fallback:"Helvetica"}],["ArialNarrow-B\ +old",{alias:"ArialNarrow",style:Cn,fallback:"Helvetica-Bold"}],["ArialNarrow-Italic",{alias:"ArialNarrow",style:vn,fallback:"Helvetica-Oblique"}],["ArialNarrow-BoldItalic",{alias:"ArialNarrow",style:Fn,fallback:"Helvetica-BoldOblique"}],["Calibri",{local:["Calibri","Carlito"],style:kn,fallback:"Helvetica"}],["Calibri-Bold",{alias:"Calibri",style:Cn,fallback:"Helvetica-Bold"}],["Calibri-Italic",{alias:"Calibri",style:vn,fallback:"Helvetica-Oblique"}],["Calibri-BoldItalic",{alias:"Calibri",style:F\ +n,fallback:"Helvetica-BoldOblique"}],["Wingdings",{local:["Wingdings","URW Dingbats"],style:kn}],["Wingdings-Regular",{alias:"Wingdings"}],["Wingdings-Bold",{alias:"Wingdings"}]]),Tn=new Map([["Arial-Black","ArialBlack"]]);function getFamilyName(e){const t=new Set(["thin","extralight","ultralight","demilight","semilight","light","book","regular","normal","medium","demibold","semibold","bold","extrabold","ultrabold","black","heavy","extrablack","ultrablack","roman","italic","oblique","ultraconden\ +sed","extracondensed","condensed","semicondensed","normal","semiexpanded","expanded","extraexpanded","ultraexpanded","bolditalic"]);return e.split(/[- ,+]+/g).filter((e=>!t.has(e.toLowerCase()))).join(" ")}function generateFont({alias:e,local:t,path:a,fallback:r,style:i,ultimate:n},s,o,c=!0,l=!0,h=""){const u={style:null,ultimate:null};if(t){const e=h?` ${h}`:"";for(const a of t)s.push(`local(${a}${e})`)}if(e){const t=In.get(e),n=h||function getStyleToAppend(e){switch(e){case Cn:return"Bold";cas\ +e vn:return"Italic";case Fn:return"Bold Italic";default:if("bold"===e?.weight)return"Bold";if("italic"===e?.style)return"Italic"}return""}(i);Object.assign(u,generateFont(t,s,o,c&&!r,l&&!a,n))}i&&(u.style=i);n&&(u.ultimate=n);if(c&&r){const e=In.get(r),{ultimate:t}=generateFont(e,s,o,c,l&&!a,h);u.ultimate||=t}l&&a&&o&&s.push(`url(${o}${a})`);return u}function getFontSubstitution(e,t,a,r,i,n){if(r.startsWith("InvalidPDFjsFont_"))return null;"TrueType"!==n&&"Type1"!==n||!/^[A-Z]{6}\\+/.test(r)||(r=\ +r.slice(7));const s=r=normalizeFontName(r);let o=e.get(s);if(o)return o;let c=In.get(r);if(!c)for(const[e,t]of Tn)if(r.startsWith(e)){r=`${t}${r.substring(e.length)}`;c=In.get(r);break}let l=!1;if(!c){c=In.get(i);l=!0}const h=`${t.getDocId()}_s${t.createFontId()}`;if(!c){if(!validateFontName(r)){warn(`Cannot substitute the font because of its name: ${r}`);e.set(s,null);return null}const t=/bold/gi.test(r),a=/oblique|italic/gi.test(r),i=t&&a&&Fn||t&&Cn||a&&vn||kn;o={css:`"${getFamilyName(r)}",${h\ +}`,guessFallback:!0,loadedName:h,baseFontName:r,src:`local(${r})`,style:i};e.set(s,o);return o}const u=[];l&&validateFontName(r)&&u.push(`local(${r})`);const{style:d,ultimate:f}=generateFont(c,u,a),g=null===f,p=g?"":`,${f}`;o={css:`"${getFamilyName(r)}",${h}${p}`,guessFallback:g,loadedName:h,baseFontName:r,src:u.join(","),style:d};e.set(s,o);return o}const On=3285377520,Mn=4294901760,Dn=65535;class MurmurHash3_64{constructor(e){this.h1=e?4294967295&e:On;this.h2=e?4294967295&e:On}update(e){let t,\ +a;if("string"==typeof e){t=new Uint8Array(2*e.length);a=0;for(let r=0,i=e.length;r>>8;t[a++]=255&i}}}else{if(!ArrayBuffer.isView(e))throw new Error("Invalid data format, must be a string or TypedArray.");t=e.slice();a=t.byteLength}const r=a>>2,i=a-4*r,n=new Uint32Array(t.buffer,0,r);let s=0,o=0,c=this.h1,l=this.h2;const h=3432918353,u=461845907,d=11601,f=13715;for(let e=0;e>>17;s=s*u&\ +Mn|s*f&Dn;c^=s;c=c<<13|c>>>19;c=5*c+3864292196}else{o=n[e];o=o*h&Mn|o*d&Dn;o=o<<15|o>>>17;o=o*u&Mn|o*f&Dn;l^=o;l=l<<13|l>>>19;l=5*l+3864292196}s=0;switch(i){case 3:s^=t[4*r+2]<<16;case 2:s^=t[4*r+1]<<8;case 1:s^=t[4*r];s=s*h&Mn|s*d&Dn;s=s<<15|s>>>17;s=s*u&Mn|s*f&Dn;1&r?c^=s:l^=s}this.h1=c;this.h2=l}hexdigest(){let e=this.h1,t=this.h2;e^=t>>>1;e=3981806797*e&Mn|36045*e&Dn;t=4283543511*t&Mn|(2950163797*(t<<16|e>>>16)&Mn)>>>16;e^=t>>>1;e=444984403*e&Mn|60499*e&Dn;t=3301882366*t&Mn|(3120437893*(t<<1\ +6|e>>>16)&Mn)>>>16;e^=t>>>1;return(e>>>0).toString(16).padStart(8,"0")+(t>>>0).toString(16).padStart(8,"0")}}function resizeImageMask(e,t,a,r,i,n){const s=i*n;let o;o=t<=8?new Uint8Array(s):t<=16?new Uint16Array(s):new Uint32Array(s);const c=a/i,l=r/n;let h,u,d,f,g=0;const p=new Uint16Array(i),m=a;for(h=0;h0&&Number.isInteger(a.height)&&a.height>0&&(a.width!==f||a.height!==g)){warn("PDFImage - using the Width/Height of the image data, rather than the image dicti\ +onary.");f=a.width;g=a.height}else{const e="number"==typeof f&&f>0,t="number"==typeof g&&g>0;if(!e||!t){if(!a.fallbackDims)throw new FormatError(`Invalid image width: ${f} or height: ${g}`);warn("PDFImage - using the Width/Height of the parent image, for SMask/Mask data.");e||(f=a.fallbackDims.width);t||(g=a.fallbackDims.height)}}this.width=f;this.height=g;this.interpolate=h.get("I","Interpolate");this.imageMask=h.get("IM","ImageMask")||!1;this.matte=h.get("Matte")||!1;let p=a.bitsPerComponent;i\ +f(!p){p=h.get("BPC","BitsPerComponent");if(!p){if(!this.imageMask)throw new FormatError(`Bits per component missing in image: ${this.imageMask}`);p=1}}this.bpc=p;if(!this.imageMask){let i=h.getRaw("CS")||h.getRaw("ColorSpace");const n=!!i;if(n)this.jpxDecoderOptions?.smaskInData&&(i=Name.get("DeviceRGBA"));else if(this.jpxDecoderOptions)i=Name.get("DeviceRGBA");else switch(a.numComps){case 1:i=Name.get("DeviceGray");break;case 3:i=Name.get("DeviceRGB");break;case 4:i=Name.get("DeviceCMYK");break\ +;default:throw new Error(`Images with ${a.numComps} color components not supported.`)}this.colorSpace=ColorSpaceUtils.parse({cs:i,xref:e,resources:r?t:null,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l});this.numComps=this.colorSpace.numComps;if(this.jpxDecoderOptions){this.jpxDecoderOptions.numComponents=n?this.numComps:0;this.jpxDecoderOptions.isIndexedColormap="Indexed"===this.colorSpace.name}}this.decode=h.getArray("D","Decode");this.needsDecode=!1;if(this.decode&&(this\ +.colorSpace&&!this.colorSpace.isDefaultDecode(this.decode,p)||s&&!ColorSpace.isDefaultDecode(this.decode,1))){this.needsDecode=!0;const e=(1<0,c=(r+7>>3)*i,l=e.getBytes(c),h=1===r&&1===i&&o===(0===l.length||!!(128&l[0]));if(h)return{isSingleOpaquePixel:h};if(t){if(ImageResizer.needsToBeResized(r,i)){const e=new Uint8ClampedArray(r*i*4);convertBlackAndWhiteToRGBA({src:l,dest:e,width:r,height:i,nonBlackColor:0,inverseDecode:o});return ImageResizer.createImage({kind:v,data:e,width:r,height:i,interpolate:n})}const e=new OffscreenCanvas(r,i),t=e.getContext("2d"),a=t.crea\ +teImageData(r,i);convertBlackAndWhiteToRGBA({src:l,dest:a.data,width:r,height:i,nonBlackColor:0,inverseDecode:o});t.putImageData(a,0,0);return{data:null,width:r,height:i,interpolate:n,bitmap:e.transferToImageBitmap()}}const u=l.byteLength;let d;if(e instanceof DecodeStream&&(!o||c===u))d=l;else if(o){d=new Uint8Array(c);d.set(l);d.fill(255,u)}else d=new Uint8Array(l);if(o)for(let e=0;e>7&1;s[d+1]=u>>6&1;s[d+2]=u>>5&1;s[d+3]=u>>4&1;s[d+4]=u>>3&1;s[d+5]=u>>2&1;s[d+6]=u>>1&1;s[d+7]=1&u;d+=8}if(d>=1}}}}else{let a=0;u=0;for(d=0,h=n;d>r;i<0?i=0:i>l&\ +&(i=l);s[d]=i;u&=(1<s[r+1]){t=255;break}}o[h]=t}}}if(o)for(h=0,d=3,u=t*r;h>3,h=t&&ImageResizer.needsToBeResized(a,r);if(!this.smask&&!this.mask&&"DeviceRGBA"===this.colorSpace.name){i.kind=v;const e=i.data=await this.getImageBytes(o*s*4,{});return t?h?ImageResizer.createImage(i,!1\ +):this.createBitmap(v,a,r,e):i}if(!e){let e;"DeviceGray"===this.colorSpace.name&&1===c?e=k:"DeviceRGB"!==this.colorSpace.name||8!==c||this.needsDecode||(e=C);if(e&&!this.smask&&!this.mask&&a===s&&r===o){const n=await this.#$(s,o);if(n)return n;const c=await this.getImageBytes(o*l,{});if(t)return h?ImageResizer.createImage({data:c,kind:e,width:a,height:r,interpolate:this.interpolate},this.needsDecode):this.createBitmap(e,s,o,c);i.kind=e;i.data=c;if(this.needsDecode){assert(e===k,"PDFImage.createI\ +mageData: The image must be grayscale.");const t=i.data;for(let e=0,a=t.length;e>3,s=await this.getImageBytes(r*n,{internal:!0}),o=this.getComponents(s);let c,l;if(1===i){l=a*r;if(this.needsDecode)for(c=0;c0&&r[0].count++}class TimeSlotManager{static TIME_SLOT_DURATION_MS=20;static CHECK_TIME_EVERY=100;constructor(){this.reset()}check(){if(++this.checkedo){const e="Image exceeded maximum allowed size and was removed.";if(!c)throw new Error(e);warn(e);return}le\ +t g;h.has("OC")&&(g=await this.parseMarkedContentProps(h.get("OC"),e));let p,m,b;if(h.get("IM","ImageMask")||!1){p=await PDFImage.createMask({image:t,isOffscreenCanvasSupported:l&&!this.parsingType3Font});if(p.isSingleOpaquePixel){m=ta;b=[];r.addImageOps(m,b,g);if(i){const e={fn:m,args:b,optionalContent:g};n.set(i,u,e);u&&this._regionalImageCache.set(null,u,e)}return}if(this.parsingType3Font){b=function compileType3Glyph({data:e,width:t,height:a}){if(t>1e3||a>1e3)return null;const r=new Uint8Arr\ +ay([0,2,4,0,1,0,5,4,8,10,0,8,0,2,1,0]),i=t+1,n=new Uint8Array(i*(a+1));let s,o,c;const l=t+7&-8,h=new Uint8Array(l*a);let u=0;for(const t of e){let e=128;for(;e>0;){h[u++]=t&e?0:255;e>>=1}}let d=0;u=0;if(0!==h[u]){n[0]=1;++d}for(o=1;o>2)+(h[u+1]?4:0)+(h[u-l+1]?8:0);if(r[e]){n[c+o]=r[e];++d}u++}if(h[u-l]!==h[u]\ +){n[c+o]=h[u]?2:4;++d}if(d>1e3)return null}u=l*(a-1);c=s*i;if(0!==h[u]){n[c]=8;++d}for(o=1;o1e3)return null;const f=new Int32Array([0,i,-1,0,-i,0,0,0,1]),g=[],{a:p,b:m,c:b,d:y,e:w,f:x}=(new DOMMatrix).scaleSelf(1/t,-1/a).translateSelf(0,-a);for(s=0;d&&s<=a;s++){let e=s*i;const a=e+t;for(;e>4;n[e]&=l>>2|l<<2}r=e%i;o=e/i|0;g.push(oa,p*r+b*o+w,m*r+y*o+x);n[e]||--d}while(c!==e);--s}return[na,[new Float32Array(g)],new Float32Array([0,0,t,a])]}(p);if(b){r.addImageOps(aa,b,g);return}warn("Cannot compile Type3 glyph.");r.addImageOps(Vt,[p],g);return}const e=`mask_${this.idFactory.createObjId()}`;r.addDependency(e);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;this._sendImgData(e,p);m=Vt;b=[{data:e,width:p.width,height:p\ +.height,interpolate:p.interpolate,count:1}];r.addImageOps(m,b,g);if(i){const t={objId:e,fn:m,args:b,optionalContent:g};n.set(i,u,t);u&&this._regionalImageCache.set(null,u,t)}return}const y=h.has("SMask")||h.has("Mask");if(a&&d+f<200&&!y){try{const i=new PDFImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s});p=await i.createImageData(!0,!1);r.addImageOps(Yt,[p],g)}catch(e){const t=`Una\ +ble to decode inline image: "${e}".`;if(!c)throw new Error(t);warn(t)}return}let w=`img_${this.idFactory.createObjId()}`,x=!1,S=null;if(this.parsingType3Font)w=`${this.idFactory.getDocId()}_type3_${w}`;else if(i&&u){x=this.globalImageCache.shouldCache(u,this.pageIndex);if(x){assert(!a,"Cannot cache an inline image globally.");w=`${this.idFactory.getDocId()}_${w}`}}r.addDependency(w);m=Jt;b=[w,d,f];r.addImageOps(m,b,g,y);if(x){S={objId:w,fn:m,args:b,optionalContent:g,hasMask:y,byteSize:0};if(this\ +.globalImageCache.hasDecodeFailed(u)){this.globalImageCache.setData(u,S);this._sendImgData(w,null,x);return}if(d*f>25e4||y){const e=await this.handler.sendWithPromise("commonobj",[w,"CopyLocalImage",{imageRef:u}]);if(e){this.globalImageCache.setData(u,S);this.globalImageCache.addByteSize(u,e);return}}}PDFImage.buildImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s}).then((async e=>{p=\ +await e.createImageData(!1,l);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;p.ref=u;x&&this.globalImageCache.addByteSize(u,p.dataLen);return this._sendImgData(w,p,x)})).catch((e=>{warn(`Unable to decode image "${w}": "${e}".`);u&&this.globalImageCache.addDecodeFailed(u);return this._sendImgData(w,null,x)}));if(i){const e={objId:w,fn:m,args:b,optionalContent:g,hasMask:y};n.set(i,u,e);if(u){this._regionalImageCache.set(null,u,e);if(x){assert(S,"The global cache-data must be available.");this\ +.globalImageCache.setData(u,S)}}}}handleSMask(e,t,a,r,i,n,s){const o=e.get("G"),c={subtype:e.get("S").name,backdrop:e.get("BC")},l=e.get("TR");if(isPDFFunction(l)){const e=this._pdfFunctionFactory.create(l),t=new Uint8Array(256),a=new Float32Array(1);for(let r=0;r<256;r++){a[0]=r/255;e(a,0,a,0);t[r]=255*a[0]|0}c.transferMap=t}return this.buildFormXObject(t,o,c,a,r,i.state.clone({newPath:!0}),n,s)}handleTransferFunction(e){let t;if(Array.isArray(e))t=e;else{if(!isPDFFunction(e))return null;t=[e]}\ +const a=[];let r=0,i=0;for(const e of t){const t=this.xref.fetchIfRef(e);r++;if(isName(t,"Identity")){a.push(null);continue}if(!isPDFFunction(t))return null;const n=this._pdfFunctionFactory.create(t),s=new Uint8Array(256),o=new Float32Array(1);for(let e=0;e<256;e++){o[0]=e/255;n(o,0,o,0);s[e]=255*o[0]|0}a.push(s);i++}return 1!==r&&4!==r||0===i?null:a}handleTilingType(e,t,a,r,i,n,s,o){const c=new OperatorList,l=Dict.merge({xref:this.xref,dictArray:[i.get("Resources"),a]});return this.getOperatorL\ +ist({stream:r,task:s,resources:l,operatorList:c}).then((function(){const a=c.getIR(),r=getTilingPatternIR(a,i,t);n.addDependencies(c.dependencies);n.addOp(e,r);i.objId&&o.set(null,i.objId,{operatorListIR:a,dict:i})})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`handleTilingType - ignoring pattern: "${e}".`)}}))}async handleSetFont(e,t,a,r,i,n,s=null,o=null){const c=t?.[0]instanceof Name?t[0].name:null,l=await this.loadFont(c,a,e,i,s,o);l.font.isType3\ +Font&&r.addDependencies(l.type3Dependencies);n.font=l.font;l.send(this.handler);return l.loadedName}handleText(e,t){const a=t.font,r=a.charsToGlyphs(e);if(a.data){(!!(t.textRenderingMode&S)||"Pattern"===t.fillColorSpace.name||a.disableFontFace)&&PartialEvaluator.buildFontPaths(a,r,this.handler,this.options)}return r}ensureStateFont(e){if(e.font)return;const t=new FormatError("Missing setFont (Tf) operator before text rendering operator.");if(!this.options.ignoreErrors)throw t;warn(`ensureStateFo\ +nt: "${t}".`)}async setGState({resources:e,gState:t,operatorList:a,cacheKey:r,task:i,stateManager:n,localGStateCache:s,localColorSpaceCache:o,seenRefs:c}){const l=t.objId;let h=!0;const u=[];let d=Promise.resolve();for(const[r,s]of t)switch(r){case"Type":break;case"LW":if("number"!=typeof s){warn(`Invalid LW (line width): ${s}`);break}u.push([r,Math.abs(s)]);break;case"LC":case"LJ":case"ML":case"D":case"RI":case"FL":case"CA":case"ca":u.push([r,s]);break;case"Font":h=!1;d=d.then((()=>this.handleS\ +etFont(e,null,s[0],a,i,n.state).then((function(e){a.addDependency(e);u.push([r,[e,s[1]]])}))));break;case"BM":u.push([r,normalizeBlendMode(s)]);break;case"SMask":if(isName(s,"None")){u.push([r,!1]);break}if(s instanceof Dict){h=!1;d=d.then((()=>this.handleSMask(s,e,a,i,n,o,c)));u.push([r,!0])}else warn("Unsupported SMask type");break;case"TR":const t=this.handleTransferFunction(s);u.push([r,t]);break;case"OP":case"op":case"OPM":case"BG":case"BG2":case"UCR":case"UCR2":case"TR2":case"HT":case"SM":\ +case"SA":case"AIS":case"TK":info("graphic state operator "+r);break;default:info("Unknown graphic state operator "+r)}await d;u.length>0&&a.addOp(De,[u]);h&&s.set(r,l,u)}loadFont(e,t,a,r,i=null,n=null){const errorFont=async()=>new TranslatedFont({loadedName:"g_font_error",font:new ErrorFont(`Font "${e}" is not available.`),dict:t});let s;if(t)t instanceof Ref&&(s=t);else{const t=a.get("Font");t&&(s=t.getRaw(e))}if(s){if(this.type3FontRefs?.has(s))return errorFont();if(this.fontCache.has(s))retur\ +n this.fontCache.get(s);try{t=this.xref.fetchIfRef(s)}catch(e){warn(`loadFont - lookup failed: "${e}".`)}}if(!(t instanceof Dict)){if(!this.options.ignoreErrors&&!this.parsingType3Font){warn(`Font "${e}" is not available.`);return errorFont()}warn(`Font "${e}" is not available -- attempting to fallback to a default font.`);t=i||PartialEvaluator.fallbackFontDict}if(t.cacheKey&&this.fontCache.has(t.cacheKey))return this.fontCache.get(t.cacheKey);const{promise:o,resolve:c}=Promise.withResolvers();l\ +et l;try{l=this.preEvaluateFont(t);l.cssFontInfo=n}catch(e){warn(`loadFont - preEvaluateFont failed: "${e}".`);return errorFont()}const{descriptor:h,hash:u}=l,d=s instanceof Ref;let f;if(u&&h instanceof Dict){const e=h.fontAliases||=Object.create(null);if(e[u]){const t=e[u].aliasRef;if(d&&t&&this.fontCache.has(t)){this.fontCache.putAlias(s,t);return this.fontCache.get(s)}}else e[u]={fontID:this.idFactory.createFontId()};d&&(e[u].aliasRef=s);f=e[u].fontID}else f=this.idFactory.createFontId();asse\ +rt(f?.startsWith("f"),\'The "fontID" must be (correctly) defined.\');if(d)this.fontCache.put(s,o);else{t.cacheKey=`cacheKey_${f}`;this.fontCache.put(t.cacheKey,o)}t.loadedName=`${this.idFactory.getDocId()}_${f}`;this.translateFont(l).then((async e=>{const i=new TranslatedFont({loadedName:t.loadedName,font:e,dict:t});if(e.isType3Font)try{await i.loadType3Data(this,a,r)}catch(e){throw new Error(`Type3 font load error: ${e}`)}c(i)})).catch((e=>{warn(`loadFont - translateFont failed: "${e}".`);c(new T\ +ranslatedFont({loadedName:t.loadedName,font:new ErrorFont(e?.message),dict:t}))}));return o}buildPath(e,t,a){const{pathMinMax:r,pathBuffer:i}=a;switch(0|e){case Xe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1],s=t[2],o=t[3],c=e+s,l=n+o;0===s||0===o?i.push(sa,e,n,oa,c,l,la):i.push(sa,e,n,oa,c,n,oa,c,l,oa,e,l,la);Util.rectBoundingBox(e,n,c,l,r);break}case Ee:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(sa,e,n);Util.pointBoundingBox(e,n,r);break}case Pe:{const e=a.currentPoint\ +X=t[0],n=a.currentPointY=t[1];i.push(oa,e,n);Util.pointBoundingBox(e,n,r);break}case Le:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l,h,u]=t;a.currentPointX=h;a.currentPointY=u;i.push(ca,s,o,c,l,h,u);Util.bezierBoundingBox(e,n,s,o,c,l,h,u,r);break}case je:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,e,n,s,o,c,l);Util.bezierBoundingBox(e,n,e,n,s,o,c,l,r);break}case _e:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPoin\ +tX=c;a.currentPointY=l;i.push(ca,s,o,c,l,c,l);Util.bezierBoundingBox(e,n,s,o,c,l,c,l,r);break}case Ue:i.push(la)}}_getColorSpace(e,t,a){return ColorSpaceUtils.parse({cs:e,xref:this.xref,resources:t,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:a,asyncIfNotCached:!0})}async _handleColorSpace(e){try{return await e}catch(e){if(e instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`_handleColorSpace - ignoring C\ +olorSpace: "${e}".`);return null}throw e}}parseShading({shading:e,resources:t,localColorSpaceCache:a,localShadingPatternCache:r}){let i,n=r.get(e);if(n)return n;try{i=Pattern.parseShading(e,this.xref,t,this._pdfFunctionFactory,this.globalColorSpaceCache,a).getIR()}catch(t){if(t instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`parseShading - ignoring shading: "${t}".`);r.set(e,null);return null}throw t}n=`pattern_${this.idFactory.createObjId()}`;this.parsingType3Font&&(n=\ +`${this.idFactory.getDocId()}_type3_${n}`);r.set(e,n);this.parsingType3Font?this.handler.send("commonobj",[n,"Pattern",i]):this.handler.send("obj",[n,this.pageIndex,"Pattern",i]);return n}handleColorN(e,t,a,r,i,n,s,o,c,l){const h=a.pop();if(h instanceof Name){const u=i.getRaw(h.name),d=u instanceof Ref&&c.getByRef(u);if(d)try{const i=r.base?r.base.getRgbHex(a,0):null,n=getTilingPatternIR(d.operatorListIR,d.dict,i);e.addOp(t,n);return}catch{}const f=this.xref.fetchIfRef(u);if(f){const i=f instanc\ +eof BaseStream?f.dict:f,h=i.get("PatternType");if(h===Rn){const o=r.base?r.base.getRgbHex(a,0):null;return this.handleTilingType(t,o,n,f,i,e,s,c)}if(h===Nn){const a=i.get("Shading"),r=this.parseShading({shading:a,resources:n,localColorSpaceCache:o,localShadingPatternCache:l});if(r){const a=lookupMatrix(i.getArray("Matrix"),null);e.addOp(t,["Shading",r,a])}return}throw new FormatError(`Unknown PatternType: ${h}`)}}throw new FormatError(`Unknown PatternName: ${h}`)}_parseVisibilityExpression(e,t,a\ +){if(++t>10){warn("Visibility expression is too deeply nested");return}const r=e.length,i=this.xref.fetchIfRef(e[0]);if(!(r<2)&&i instanceof Name){switch(i.name){case"And":case"Or":case"Not":a.push(i.name);break;default:warn(`Invalid operator ${i.name} in visibility expression`);return}for(let i=1;i0)return{type:"OCMD",expression:t}}const t=a.get("OCGs");if(Array.isArray(t)||t instanceof Dict){const e=\ +[];if(Array.isArray(t))for(const a of t)e.push(a.toString());else e.push(t.objId);return{type:r,ids:e,policy:a.get("P")instanceof Name?a.get("P").name:null,expression:null}}if(t instanceof Ref)return{type:r,id:t.toString()}}return null}getOperatorList({stream:e,task:t,resources:a,operatorList:r,initialState:i=null,fallbackFontDict:n=null,prevRefs:s=null}){const o=e.dict?.objId,c=new RefSet(s);if(o){if(s?.has(o))throw new Error(`getOperatorList - ignoring circular reference: ${o}`);c.put(o)}a||=D\ +ict.empty;i||=new EvalState;if(!r)throw new Error(\'getOperatorList: missing "operatorList" parameter\');const l=this,h=this.xref,u=new LocalImageCache,d=new LocalColorSpaceCache,f=new LocalGStateCache,g=new LocalTilingPatternCache,p=new Map,m=a.get("XObject")||Dict.empty,b=a.get("Pattern")||Dict.empty,y=new StateManager(i),w=new EvaluatorPreprocessor(e,h,y),x=new TimeSlotManager;function closePendingRestoreOPS(e){for(let e=0,t=w.savedStatesDepth;e{y.state.fillColorSpace=e||ColorSpaceUtils.gray})));return}case yt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.strokeColorSpace=t;continue}next(l._handleColorSpace(t).then((e=>{y.state.strokeColorSpace=e||ColorSpaceUtils.gray})));return}case At:C=y.state.fillColorSpace;e=[C.getRgbHex(e,0)];i=It;break;case xt:C=y.state.strokeColorSpace;e=[C.getRgbHex(e,0)];i=Ft;break;case vt:y.state.\ +fillColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break;case Ct:y.state.strokeColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break;case Ot:y.state.fillColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=It;break;case Tt:y.state.strokeColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=Ft;break;case It:y.state.fillColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case\ + Ft:y.state.strokeColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case kt:C=y.state.patternFillColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break}e=[];i=ia;break}if("Pattern"===C.name){next(l.handleColorN(r,kt,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=It;break;case St:C=y.state.patternStrokeColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break}e=[];i=ra;break}if("Pattern"===C.na\ +me){next(l.handleColorN(r,St,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=Ft;break;case Mt:let T;try{const t=a.get("Shading");if(!t)throw new FormatError("No shading resource found");T=t.get(e[0].name);if(!T)throw new FormatError("No shading object found")}catch(e){if(e instanceof AbortException)continue;if(l.options.ignoreErrors){warn(`getOperatorList - ignoring Shading: "${e}".`);continue}throw e}const O=l.parseShading({shading:T,resources:a,localColorSpaceCache:d,localShadingPatternCache:p\ +});if(!O)continue;e=[O];i=Mt;break;case De:F=e[0]instanceof Name;v=e[0].name;if(F){const t=f.getByName(v);if(t){t.length>0&&r.addOp(De,[t]);e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("GState must be referred to by name.");const n=a.get("ExtGState");if(!(n instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const s=n.get(v);if(!(s instanceof Dict))throw new FormatError("GState should be a dictionary.");l.setGState({resources:a,gState:s,ope\ +ratorList:r,cacheKey:v,task:t,stateManager:y,localGStateCache:f,localColorSpaceCache:d,seenRefs:c}).then(e,i)})).catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring ExtGState: "${e}".`)}})));return;case Ce:{const[t]=e;if("number"!=typeof t){warn(`Invalid setLineWidth: ${t}`);continue}e[0]=Math.abs(t);break}case Ee:case Pe:case Le:case je:case _e:case Ue:case Xe:l.buildPath(i,e,y.state);continue;case qe:case He:case We:case ze:\ +case $e:case Ge:case Ve:case Ke:case Je:{const{state:{pathBuffer:e,pathMinMax:t}}=y;i!==He&&i!==Ve&&i!==Ke||e.push(la);if(0===e.length)r.addOp(aa,[i,[null],null]);else{r.addOp(aa,[i,[new Float32Array(e)],t.slice()]);e.length=0;t.set([1/0,1/0,-1/0,-1/0],0)}continue}case ht:r.addOp(i,[new Float32Array(e)]);continue;case Et:case Pt:case Ut:case Xt:continue;case jt:if(!(e[0]instanceof Name)){warn(`Expected name for beginMarkedContentProps arg0=${e[0]}`);r.addOp(jt,["OC",null]);continue}if("OC"===e[0\ +].name){next(l.parseMarkedContentProps(e[1],a).then((e=>{r.addOp(jt,["OC",e])})).catch((e=>{if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring beginMarkedContentProps: "${e}".`);r.addOp(jt,["OC",null])}})));return}e=[e[0].name,e[1]instanceof Dict?e[1].get("MCID"):null];break;default:if(null!==e){for(S=0,k=e.length;S{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring errors during "${t.name}" task: "${e}".`);closePendingRestoreOPS()}}))}getTextContent({stream:e,task:a,resources:r,stateManager:i=null,includeMarkedContent:n=!1,sink:s,seenStyles:o=new Set,viewBox:c,lang:l=null,markedContentData:h=null,disableNormalization:u=!1,keepWhiteSpace:d=!1,prevRefs:f=null,intersector:g=null}){const p=e.dict?.objId,m=new Ref\ +Set(f);if(p){if(f?.has(p))throw new Error(`getTextContent - ignoring circular reference: ${p}`);m.put(p)}r||=Dict.empty;i||=new StateManager(new TextState);n&&(h||={level:0});const b={items:[],styles:Object.create(null),lang:l},y={initialized:!1,str:[],totalWidth:0,totalHeight:0,width:0,height:0,vertical:!1,prevTransform:null,textAdvanceScale:0,spaceInFlowMin:0,spaceInFlowMax:0,trackingSpaceMin:1/0,negativeSpaceMax:-1/0,notASpace:-1/0,transform:null,fontName:null,hasEOL:!1},w=[" "," "];let x=0;f\ +unction saveLastChar(e){const t=(x+1)%2,a=" "!==w[x]&&" "===w[t];w[x]=e;x=t;return!d&&a}function shouldAddWhitepsace(){return!d&&" "!==w[x]&&" "===w[(x+1)%2]}function resetLastChars(){w[0]=w[1]=" ";x=0}const S=this,k=this.xref,C=[];let v=null;const F=new LocalImageCache,T=new LocalGStateCache,O=new EvaluatorPreprocessor(e,k,i);let M;function pushWhitespace({width:e=0,height:t=0,transform:a=y.prevTransform,fontName:r=y.fontName}){g?.addExtraChar(" ");b.items.push({str:" ",dir:"ltr",width:e,height\ +:t,transform:a,fontName:r,hasEOL:!1})}function getCurrentTextTransform(){const e=M.font,a=[M.fontSize*M.textHScale,0,0,M.fontSize,0,M.textRise];if(e.isType3Font&&(M.fontSize<=1||e.isCharBBox)&&!isArrayEqual(M.fontMatrix,t)){const t=e.bbox[3]-e.bbox[1];t>0&&(a[3]*=t*M.fontMatrix[3])}return Util.transform(M.ctm,Util.transform(M.textMatrix,a))}function ensureTextContentItem(){if(y.initialized)return y;const{font:e,loadedName:t}=M;if(!o.has(t)){o.add(t);b.styles[t]={fontFamily:e.fallbackName,ascent:\ +e.ascent,descent:e.descent,vertical:e.vertical};if(S.options.fontExtraProperties&&e.systemFontInfo){const a=b.styles[t];a.fontSubstitution=e.systemFontInfo.css;a.fontSubstitutionLoadedName=e.systemFontInfo.loadedName}}y.fontName=t;const a=y.transform=getCurrentTextTransform();if(e.vertical){y.width=y.totalWidth=Math.hypot(a[0],a[1]);y.height=y.totalHeight=0;y.vertical=!0}else{y.width=y.totalWidth=0;y.height=y.totalHeight=Math.hypot(a[2],a[3]);y.vertical=!1}const r=Math.hypot(M.textLineMatrix[0],\ +M.textLineMatrix[1]),i=Math.hypot(M.ctm[0],M.ctm[1]);y.textAdvanceScale=i*r;const{fontSize:n}=M;y.trackingSpaceMin=.102*n;y.notASpace=.03*n;y.negativeSpaceMax=-.2*n;y.spaceInFlowMin=.102*n;y.spaceInFlowMax=.6*n;y.hasEOL=!1;y.initialized=!0;return y}function updateAdvanceScale(){if(!y.initialized)return;const e=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),t=Math.hypot(M.ctm[0],M.ctm[1])*e;if(t!==y.textAdvanceScale){if(y.vertical){y.totalHeight+=y.height*y.textAdvanceScale;y.height=0}else{y\ +.totalWidth+=y.width*y.textAdvanceScale;y.width=0}y.textAdvanceScale=t}}function runBidiTransform(e){let t=e.str.join("");u||(t=function normalizeUnicode(e){if(!ma){ma=/([\\u00a0\\u00b5\\u037e\\u0eb3\\u2000-\\u200a\\u202f\\u2126\\ufb00-\\ufb04\\ufb06\\ufb20-\\ufb36\\ufb38-\\ufb3c\\ufb3e\\ufb40-\\ufb41\\ufb43-\\ufb44\\ufb46-\\ufba1\\ufba4-\\ufba9\\ufbae-\\ufbb1\\ufbd3-\\ufbdc\\ufbde-\\ufbe7\\ufbea-\\ufbf8\\ufbfc-\\ufbfd\\ufc00-\\ufc5d\\ufc64-\\ufcf1\\ufcf5-\\ufd3d\\ufd88\\ufdf4\\ufdfa-\\ufdfb\\ufe71\\ufe77\\ufe79\\ufe7b\\ufe7d]+)|(\\ufb05+)/gu;b\ +a=new Map([["ſt","ſt"]])}return e.replaceAll(ma,((e,t,a)=>t?t.normalize("NFKC"):ba.get(a)))}(t));const a=bidi(t,-1,e.vertical);return{str:a.str,dir:a.dir,width:Math.abs(e.totalWidth),height:Math.abs(e.totalHeight),transform:e.transform,fontName:e.fontName,hasEOL:e.hasEOL}}async function handleSetFont(e,i){const n=await S.loadFont(e,i,r,a);M.loadedName=n.loadedName;M.font=n.font;M.fontMatrix=n.font.fontMatrix||t}function applyInverseRotation(e,t,a){const r=Math.hypot(a[0],a[1]);return[(a[0]*e+a[1]\ +*t)/r,(a[2]*e+a[3]*t)/r]}function compareWithLastPosition(e){const t=getCurrentTextTransform();let a=t[4],r=t[5];if(M.font?.vertical){if(ac[2]||r+ec[3])return!1}else if(a+ec[2]||rc[3])return!1;if(!M.font||!y.prevTransform)return!0;let i=y.prevTransform[4],n=y.prevTransform[5];if(i===a&&n===r)return!0;let s=-1;t[0]&&0===t[1]&&0===t[2]?s=t[0]>0?0:180:t[1]&&0===t[0]&&0===t[3]&&(s=t[1]>0?90:270);switch(s){case 0:break;case 90:[a,r]=[r,a];[i,n]=[n,i];break;case 180\ +:[a,r,i,n]=[-a,-r,-i,-n];break;case 270:[a,r]=[-r,-a];[i,n]=[-n,-i];break;default:[a,r]=applyInverseRotation(a,r,t);[i,n]=applyInverseRotation(i,n,y.prevTransform)}if(M.font.vertical){const e=(n-r)/y.textAdvanceScale,t=a-i,s=Math.sign(y.height);if(e.5*y.width){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(t)>y.width){appendEOL();return!0}e<=s*y.notASpace&&resetLastChars();if(e<=s*y.trackingSpaceMin)if(shouldAddWhitepsace()\ +){resetLastChars();flushTextContentItem();pushWhitespace({height:Math.abs(e)})}else y.height+=e;else if(!addFakeSpaces(e,y.prevTransform,s))if(0===y.str.length){resetLastChars();pushWhitespace({height:Math.abs(e)})}else y.height+=e;Math.abs(t)>.25*y.width&&flushTextContentItem();return!0}const o=(a-i)/y.textAdvanceScale,l=r-n,h=Math.sign(y.width);if(o.5*y.height){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(l)>y.height){a\ +ppendEOL();return!0}o<=h*y.notASpace&&resetLastChars();if(o<=h*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({width:Math.abs(o)})}else y.width+=o;else if(!addFakeSpaces(o,y.prevTransform,h))if(0===y.str.length){resetLastChars();pushWhitespace({width:Math.abs(o)})}else y.width+=o;Math.abs(l)>.25*y.height&&flushTextContentItem();return!0}function buildTextContentItem({chars:e,extraSpacing:t}){const a=M.font;if(!e){const e=M.charSpacing+t;e&&(a.\ +vertical?M.translateTextMatrix(0,-e):M.translateTextMatrix(e*M.textHScale,0));d&&compareWithLastPosition(0);return}const r=a.charsToGlyphs(e),i=M.fontMatrix[0]*M.fontSize;for(let e=0,n=r.length;e0){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:0})}break;case dt:if(!i.state.font){S.ensureStateFont(i.state);continue}buildTextContentItem({chars:w[0],extraSpacing:0});break;case gt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.carriageReturn();buildTextContentItem({chars:w[0],extraSpacing:0});break;case pt:if(!i.state.font){S.ensureStateFont(i.state);continue\ +}M.wordSpacing=w[0];M.charSpacing=w[1];M.carriageReturn();buildTextContentItem({chars:w[2],extraSpacing:0});break;case Nt:flushTextContentItem();v??=r.get("XObject")||Dict.empty;y=w[0]instanceof Name;p=w[0].name;if(y&&F.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("XObject must be referred to by name.");let f=v.getRaw(p);if(f instanceof Ref){if(F.getByRef(f)){e();return}if(S.globalImageCache.getData(f,S.pageIndex)){e();return}f=k.fetch(f)}if(!(f instanceof BaseS\ +tream))throw new FormatError("XObject should be a stream");const{dict:g}=f,b=g.get("Subtype");if(!(b instanceof Name))throw new FormatError("XObject should have a Name subtype");if("Form"!==b.name){F.set(p,g.objId,!0);e();return}const w=i.state.clone(),x=new StateManager(w),C=lookupMatrix(g.getArray("Matrix"),null);C&&x.transform(C);const T=g.get("Resources");enqueueChunk();const O={enqueueInvoked:!1,enqueue(e,t){this.enqueueInvoked=!0;s.enqueue(e,t)},get desiredSize(){return s.desiredSize??0},g\ +et ready(){return s.ready}};S.getTextContent({stream:f,task:a,resources:T instanceof Dict?T:r,stateManager:x,includeMarkedContent:n,sink:s&&O,seenStyles:o,viewBox:c,lang:l,markedContentData:h,disableNormalization:u,keepWhiteSpace:d,prevRefs:m}).then((function(){O.enqueueInvoked||F.set(p,g.objId,!0);e()}),t)})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring XObject: "${e}".`)}})));return;case De:y=w[0]instanceof Name;p=w[0]\ +.name;if(y&&T.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("GState must be referred to by name.");const a=r.get("ExtGState");if(!(a instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const i=a.get(p);if(!(i instanceof Dict))throw new FormatError("GState should be a dictionary.");const n=i.get("Font");if(n){flushTextContentItem();M.fontName=null;M.fontSize=n[1];handleSetFont(null,n[0]).then(e,t)}else{T.set(p,i.objId,!0);e()}})).catch((fun\ +ction(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring ExtGState: "${e}".`)}})));return;case Lt:flushTextContentItem();if(n){h.level++;b.items.push({type:"beginMarkedContent",tag:w[0]instanceof Name?w[0].name:null})}break;case jt:flushTextContentItem();if(n){h.level++;let e=null;w[1]instanceof Dict&&(e=w[1].get("MCID"));b.items.push({type:"beginMarkedContentProps",id:Number.isInteger(e)?`${S.idFactory.getPageObjId()}_mc${e}`:null,tag:w[0]in\ +stanceof Name?w[0].name:null})}break;case _t:flushTextContentItem();if(n){if(0===h.level)break;h.level--;b.items.push({type:"endMarkedContent"})}break;case Re:!e||e.font===M.font&&e.fontSize===M.fontSize&&e.fontName===M.fontName||flushTextContentItem()}if(b.items.length>=(s?.desiredSize??1)){g=!0;break}}if(g)next(En);else{flushTextContentItem();enqueueChunk();e()}})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getTextContent - ignoring errors during \ +"${a.name}" task: "${e}".`);flushTextContentItem();enqueueChunk()}}))}async extractDataStructures(e,t){const a=this.xref;let r;const i=this.readToUnicode(t.toUnicode);if(t.composite){const a=e.get("CIDSystemInfo");a instanceof Dict&&(t.cidSystemInfo={registry:stringToPDFString(a.get("Registry")),ordering:stringToPDFString(a.get("Ordering")),supplement:a.get("Supplement")});try{const t=e.get("CIDToGIDMap");t instanceof BaseStream&&(r=t.getBytes())}catch(e){if(!this.options.ignoreErrors)throw e;wa\ +rn(`extractDataStructures - ignoring CIDToGIDMap data: "${e}".`)}}const n=[];let s,o=null;if(e.has("Encoding")){s=e.get("Encoding");if(s instanceof Dict){o=s.get("BaseEncoding");o=o instanceof Name?o.name:null;if(s.has("Differences")){const e=s.get("Differences");let t=0;for(const r of e){const e=a.fetchIfRef(r);if("number"==typeof e)t=e;else{if(!(e instanceof Name))throw new FormatError(`Invalid entry in \'Differences\' array: ${e}`);n[t++]=e.name}}}}else if(s instanceof Name)o=s.name;else{const \ +e="Encoding is not a Name nor a Dict";if(!this.options.ignoreErrors)throw new FormatError(e);warn(e)}"MacRomanEncoding"!==o&&"MacExpertEncoding"!==o&&"WinAnsiEncoding"!==o&&(o=null)}const c=!t.file||t.isInternalFont,l=ei()[t.name];o&&c&&l&&(o=null);if(o)t.defaultEncoding=getEncoding(o);else{const e=!!(t.flags&Pr),a=!!(t.flags&Lr);s=Ar;"TrueType"!==t.type||a||(s=kr);if(e||l){s=Sr;c&&(/Symbol/i.test(t.name)?s=Cr:/Dingbats/i.test(t.name)?s=vr:/Wingdings/i.test(t.name)&&(s=kr))}t.defaultEncoding=s}t\ +.differences=n;t.baseEncodingName=o;t.hasEncoding=!!o||n.length>0;t.dict=e;t.toUnicode=await i;const h=await this.buildToUnicode(t);t.toUnicode=h;r&&(t.cidToGidMap=this.readCidToGidMap(r,h));return t}_simpleFontToUnicode(e,t=!1){assert(!e.composite,"Must be a simple font.");const a=[],r=e.defaultEncoding.slice(),i=e.baseEncodingName,n=e.differences;for(const e in n){const t=n[e];".notdef"!==t&&(r[e]=t)}const s=Fr();for(const n in r){let o=r[n];if(""===o)continue;let c=s[o];if(void 0!==c){a[n]=St\ +ring.fromCharCode(c);continue}let l=0;switch(o[0]){case"G":3===o.length&&(l=parseInt(o.substring(1),16));break;case"g":5===o.length&&(l=parseInt(o.substring(1),16));break;case"C":case"c":if(o.length>=3&&o.length<=4){const a=o.substring(1);if(t){l=parseInt(a,16);break}l=+a;if(Number.isNaN(l)&&Number.isInteger(parseInt(a,16)))return this._simpleFontToUnicode(e,!0)}break;case"u":c=getUnicodeForGlyph(o,s);-1!==c&&(l=c);break;default:switch(o){case"f_h":case"f_t":case"T_h":a[n]=o.replaceAll("_","");c\ +ontinue}}if(l>0&&l<=1114111&&Number.isInteger(l)){if(i&&l===+n){const e=getEncoding(i);if(e&&(o=e[n])){a[n]=String.fromCharCode(s[o]);continue}}a[n]=String.fromCodePoint(l)}}return a}async buildToUnicode(e){e.hasIncludedToUnicodeMap=e.toUnicode?.length>0;if(e.hasIncludedToUnicodeMap){!e.composite&&e.hasEncoding&&(e.fallbackToUnicode=this._simpleFontToUnicode(e));return e.toUnicode}if(!e.composite)return new ToUnicodeMap(this._simpleFontToUnicode(e));if(e.composite&&(e.cMap.builtInCMap&&!(e.cMap \ +instanceof IdentityCMap)||"Adobe"===e.cidSystemInfo?.registry&&("GB1"===e.cidSystemInfo.ordering||"CNS1"===e.cidSystemInfo.ordering||"Japan1"===e.cidSystemInfo.ordering||"Korea1"===e.cidSystemInfo.ordering))){const{registry:t,ordering:a}=e.cidSystemInfo,r=Name.get(`${t}-${a}-UCS2`),i=await CMapFactory.create({encoding:r,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null}),n=[],s=[];e.cMap.forEach((function(e,t){if(t>65535)throw new FormatError("Max size of CID is 65,535");const a=i.lookup\ +(t);if(a){s.length=0;for(let e=0,t=a.length;e>1;(0!==i||t.has(n))&&(a[n]=i)}return a}extractWidths(e,t,a){const r=this.xref;let i=[],n=0;const s=[];let o;if(a.composite){const t=e.ge\ +t("DW");n="number"==typeof t?Math.ceil(t):1e3;const c=e.get("W");if(Array.isArray(c))for(let e=0,t=c.length;e{const t=c.get(e),r=new OperatorList;return n.getOperatorList({stream:t,task:a,resources:\ +l,operatorList:r}).then((()=>{switch(r.fnArray[0]){case bt:this.#K(r,b);break;case mt:b||this.#J(r)}h[e]=r.getIR();for(const e of r.dependencies)i.add(e)})).catch((function(t){warn(`Type3 font resource "${e}" is not available.`);const a=new OperatorList;h[e]=a.getIR()}))}));this.#V=o.then((()=>{r.charProcOperatorList=h;if(this._bbox){r.isCharBBox=!0;r.bbox=this._bbox}}));return this.#V}#K(e,t=NaN){const a=Util.normalizeRect(e.argsArray[0].slice(2)),r=a[2]-a[0],i=a[3]-a[1],n=Math.hypot(r,i);if(0=\ +==r||0===i){e.fnArray.splice(0,1);e.argsArray.splice(0,1)}else if(0===t||Math.round(n/t)>=10){this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}let s=0,o=e.length;for(;s=Ee&&n<=Je;if(i.variableArgs)o>s&&info(`Command ${r}: expected [0, ${s}] args, but received ${o} args.`);else{if(o!==s){const e=this.nonProcessedArgs;for(;o>s;){e.push(t.shift());o--}for(;oEvaluatorPreprocessor.MAX_INVALID_PATH_OPS)throw new FormatError(`Invalid ${e}`);warn(`Skipping ${e}`);null!==t&&(t.length=0);continue}}this.preprocessCommand(n,t);e.fn=n;e.args=t;return!0}if(a===wa)return!1;if(null!==a){null===t&&(t=[]);t.push(a);if(t.length>33)throw new FormatError("Too many arguments")}}}preprocessCommand(e,t){switch(0|e){case Be:this.stateManager.save();break;case Re:this.stateManager.res\ +tore();break;case Ne:this.stateManager.transform(t)}}}class DefaultAppearanceEvaluator extends EvaluatorPreprocessor{constructor(e){super(new StringStream(e))}parse(){const e={fn:0,args:[]},t={fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3)};try{for(;;){e.args.length=0;if(!this.read(e))break;if(0!==this.savedStatesDepth)continue;const{fn:a,args:r}=e;switch(0|a){case nt:const[e,a]=r;e instanceof Name&&(t.fontName=e.name);"number"==typeof a&&a>0&&(t.fontSize=a);break;case It:ColorSpaceUt\ +ils.rgb.getRgbItem(r,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(r,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(r,0,t.fontColor,0)}}}catch(e){warn(`parseDefaultAppearance - ignoring errors: "${e}".`)}return t}}function parseDefaultAppearance(e){return new DefaultAppearanceEvaluator(e).parse()}class AppearanceStreamEvaluator extends EvaluatorPreprocessor{constructor(e,t,a,r){super(e);this.stream=e;this.evaluatorOptions=t;this.xref=a;this.globalColorSpaceCache=\ +r;this.resources=e.dict?.get("Resources")}parse(){const e={fn:0,args:[]};let t={scaleFactor:1,fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3),fillColorSpace:ColorSpaceUtils.gray},a=!1;const r=[];try{for(;;){e.args.length=0;if(a||!this.read(e))break;const{fn:i,args:n}=e;switch(0|i){case Be:r.push({scaleFactor:t.scaleFactor,fontSize:t.fontSize,fontName:t.fontName,fontColor:t.fontColor.slice(),fillColorSpace:t.fillColorSpace});break;case Re:t=r.pop()||t;break;case ht:t.scaleFactor*=Math.h\ +ypot(n[0],n[1]);break;case nt:const[e,i]=n;e instanceof Name&&(t.fontName=e.name);"number"==typeof i&&i>0&&(t.fontSize=i*t.scaleFactor);break;case wt:t.fillColorSpace=ColorSpaceUtils.parse({cs:n[0],xref:this.xref,resources:this.resources,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:this._localColorSpaceCache});break;case At:t.fillColorSpace.getRgbItem(n,0,t.fontColor,0);break;case It:ColorSpaceUtils.rgb.getRgbItem(n,0,t.fontCol\ +or,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(n,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(n,0,t.fontColor,0);break;case dt:case ft:case gt:case pt:a=!0}}}catch(e){warn(`parseAppearanceStream - ignoring errors: "${e}".`)}this.stream.reset();delete t.scaleFactor;delete t.fillColorSpace;return t}get _localColorSpaceCache(){return shadow(this,"_localColorSpaceCache",new LocalColorSpaceCache)}get _pdfFunctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunction\ +Factory({xref:this.xref,isEvalSupported:this.evaluatorOptions.isEvalSupported}))}}function getPdfColor(e,t){if(e[0]===e[1]&&e[1]===e[2]){return`${numberToString(e[0]/255)} ${t?"g":"G"}`}return Array.from(e,(e=>numberToString(e/255))).join(" ")+" "+(t?"rg":"RG")}class FakeUnicodeFont{constructor(e,t){this.xref=e;this.widths=null;this.firstChar=1/0;this.lastChar=-1/0;this.fontFamily=t;const a=new OffscreenCanvas(1,1);this.ctxMeasure=a.getContext("2d",{willReadFrequently:!0});FakeUnicodeFont._fontN\ +ameId||(FakeUnicodeFont._fontNameId=1);this.fontName=Name.get(`InvalidPDFjsFont_${t}_${FakeUnicodeFont._fontNameId++}`)}get fontDescriptorRef(){if(!FakeUnicodeFont._fontDescriptorRef){const e=new Dict(this.xref);e.setIfName("Type","FontDescriptor");e.set("FontName",this.fontName);e.set("FontFamily","MyriadPro Regular");e.set("FontBBox",[0,0,0,0]);e.setIfName("FontStretch","Normal");e.set("FontWeight",400);e.set("ItalicAngle",0);FakeUnicodeFont._fontDescriptorRef=this.xref.getNewPersistentRef(e)}\ +return FakeUnicodeFont._fontDescriptorRef}get descendantFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","CIDFontType0");e.setIfName("CIDToGIDMap","Identity");e.set("FirstChar",this.firstChar);e.set("LastChar",this.lastChar);e.set("FontDescriptor",this.fontDescriptorRef);e.set("DW",1e3);const t=[],a=[...this.widths.entries()].sort();let r=null,i=null;for(const[e,n]of a)if(r)if(e===r+i.length)i.push(n);else{t.push(r,i);r=e;i=[n\ +]}else{r=e;i=[n]}r&&t.push(r,i);e.set("W",t);const n=new Dict(this.xref);n.set("Ordering","Identity");n.set("Registry","Adobe");n.set("Supplement",0);e.set("CIDSystemInfo",n);return this.xref.getNewPersistentRef(e)}get baseFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","Type0");e.setIfName("Encoding","Identity-H");e.set("DescendantFonts",[this.descendantFontRef]);e.setIfName("ToUnicode","Identity-H");return this.xref.getNewP\ +ersistentRef(e)}get resources(){const e=new Dict(this.xref),t=new Dict(this.xref);t.set(this.fontName.name,this.baseFontRef);e.set("Font",t);return e}_createContext(){this.widths=new Map;this.ctxMeasure.font=`1000px ${this.fontFamily}`;return this.ctxMeasure}createFontResources(e){const t=this._createContext();for(const a of e.split(/\\r\\n?|\\n/))for(const e of a.split("")){const a=e.charCodeAt(0);if(this.widths.has(a))continue;const r=t.measureText(e),i=Math.ceil(r.width);this.widths.set(a,i);thi\ +s.firstChar=Math.min(a,this.firstChar);this.lastChar=Math.max(a,this.lastChar)}return this.resources}static getFirstPositionInfo(e,t,i){const[n,s,o,c]=e;let l=o-n,h=c-s;t%180!=0&&([l,h]=[h,l]);const u=a*i;return{coords:[0,h+r*i-u],bbox:[0,0,l,h],matrix:0!==t?getRotationMatrix(t,h,u):void 0}}createAppearance(e,t,i,n,s,o){const c=this._createContext(),l=[];let h=-1/0;for(const t of e.split(/\\r\\n?|\\n/)){l.push(t);const e=c.measureText(t).width;h=Math.max(h,e);for(const e of codePointIter(t)){const \ +t=String.fromCodePoint(e);let a=this.widths.get(e);if(void 0===a){const r=c.measureText(t);a=Math.ceil(r.width);this.widths.set(e,a);this.firstChar=Math.min(e,this.firstChar);this.lastChar=Math.max(e,this.lastChar)}}}h*=n/1e3;const[u,d,f,g]=t;let p=f-u,m=g-d;i%180!=0&&([p,m]=[m,p]);let b=1;h>p&&(b=p/h);let y=1;const w=a*n,x=r*n,S=w*l.length;S>m&&(y=m/S);const k=n*Math.min(b,y),C=["q",`0 0 ${numberToString(p)} ${numberToString(m)} re W n`,"BT",`1 0 0 1 0 ${numberToString(m+x)} Tm 0 Tc ${getPdfCol\ +or(s,!0)}`,`/${this.fontName.name} ${numberToString(k)} Tf`],{resources:v}=this;if(1!==(o="number"==typeof o&&o>=0&&o<=1?o:1)){C.push("/R0 gs");const e=new Dict(this.xref),t=new Dict(this.xref);t.set("ca",o);t.set("CA",o);t.setIfName("Type","ExtGState");e.set("R0",t);v.set("ExtGState",e)}const F=numberToString(w);for(const e of l)C.push(`0 -${F} Td <${stringToUTF16HexString(e)}> Tj`);C.push("ET","Q");const T=C.join("\\n"),O=new Dict(this.xref);O.setIfName("Subtype","Form");O.setIfName("Type","XOb\ +ject");O.set("BBox",[0,0,p,m]);O.set("Length",T.length);O.set("Resources",v);if(i){const e=getRotationMatrix(i,p,m);O.set("Matrix",e)}const M=new StringStream(T);M.dict=O;return M}}const Pn=["m/d","m/d/yy","mm/dd/yy","mm/yy","d-mmm","d-mmm-yy","dd-mmm-yy","yy-mm-dd","mmm-yy","mmmm-yy","mmm d, yyyy","mmmm d, yyyy","m/d/yy h:MM tt","m/d/yy HH:MM"],Ln=["HH:MM","h:MM tt","HH:MM:ss","h:MM:ss tt"];class NameOrNumberTree{constructor(e,t,a){this.root=e;this.xref=t;this._type=a}getAll(){const e=new Map;i\ +f(!this.root)return e;const t=this.xref,a=new RefSet;a.put(this.root);const r=[this.root];for(;r.length>0;){const i=t.fetchIfRef(r.shift());if(!(i instanceof Dict))continue;if(i.has("Kids")){const e=i.get("Kids");if(!Array.isArray(e))continue;for(const t of e){if(a.has(t))throw new FormatError(`Duplicate entry in "${this._type}" tree.`);r.push(t);a.put(t)}continue}const n=i.get(this._type);if(Array.isArray(n))for(let a=0,r=n.length;a10){warn(`Search depth limit reached for "${this._type}" tree.`);return null}const i=a.get("Kids");if(!Array.isArray(i))return null;let n=0,s=i.length-1;for(;n<=s;){const r=n+s>>1,o=t.fetchIfRef(i[r]),c=o.get("Limits");if(et.fetchIfRef(c[1]))){a=o;break}n=r+1}}if(n>s)return null}const i=a.get(this._type);if(Array.isArray(i)){let a=0,r=i.length\ +-2;for(;a<=r;){const n=a+r>>1,s=n+(1&n),o=t.fetchIfRef(i[s]);if(eo))return i[s+1];a=s+2}}}return null}get(e){return this.xref.fetchIfRef(this.getRaw(e))}}class NameTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Names")}}class NumberTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Nums")}}function clearGlobalCaches(){!function clearPatternCaches(){Ii=Object.create(null)}();!function clearPrimitiveCaches(){xa=Object.create(null);Sa=Object.create(null);Aa=Ob\ +ject.create(null)}();!function clearUnicodeCaches(){Dr.clear()}();JpxImage.cleanup()}function pickPlatformItem(e){return e instanceof Dict?e.has("UF")?e.get("UF"):e.has("F")?e.get("F"):e.has("Unix")?e.get("Unix"):e.has("Mac")?e.get("Mac"):e.has("DOS")?e.get("DOS"):null:null}class FileSpec{#Y=!1;constructor(e,t,a=!1){if(e instanceof Dict){this.xref=t;this.root=e;e.has("FS")&&(this.fs=e.get("FS"));e.has("RF")&&warn("Related file specifications are not supported");a||(e.has("EF")?this.#Y=!0:warn("N\ +on-embedded file specifications are not supported"))}}get filename(){let e="";const t=pickPlatformItem(this.root);t&&"string"==typeof t&&(e=stringToPDFString(t,!0).replaceAll("\\\\\\\\","\\\\").replaceAll("\\\\/","/").replaceAll("\\\\","/"));return shadow(this,"filename",e||"unnamed")}get content(){if(!this.#Y)return null;this._contentRef||=pickPlatformItem(this.root?.get("EF"));let e=null;if(this._contentRef){const t=this.xref.fetchIfRef(this._contentRef);t instanceof BaseStream?e=t.getBytes():warn("Embe\ +dded file specification points to non-existing/invalid content")}else warn("Embedded file specification does not have any content");return e}get description(){let e="";const t=this.root?.get("Desc");t&&"string"==typeof t&&(e=stringToPDFString(t));return shadow(this,"description",e)}get serializable(){return{rawFilename:this.filename,filename:(e=this.filename,e.substring(e.lastIndexOf("/")+1)),content:this.content,description:this.description};var e}}const jn=0,_n=-2,Un=-3,Xn=-4,qn=-5,Hn=-6,Wn=-9\ +;function isWhitespace(e,t){const a=e[t];return" "===a||"\\n"===a||"\\r"===a||"\\t"===a}class XMLParserBase{_resolveEntities(e){return e.replaceAll(/&([^;]+);/g,((e,t)=>{if("#x"===t.substring(0,2))return String.fromCodePoint(parseInt(t.substring(2),16));if("#"===t.substring(0,1))return String.fromCodePoint(parseInt(t.substring(1),10));switch(t){case"lt":return"<";case"gt":return">";case"amp":return"&";case"quot":return\'"\';case"apos":return"\'"}return this.onResolveEntity(t)}))}_parseContent(e,t){con\ +st a=[];let r=t;function skipWs(){for(;r"!==e[r]&&"/"!==e[r];)++r;const i=e.substring(t,r);skipWs();for(;r"!==e[r]&&"/"!==e[r]&&"?"!==e[r];){skipWs();let t="",i="";for(;r"!==e[a]&&"?"!==e[a]&&"/"!==e[a];)++a;const r=e.substring(t,a);!function skipWs(){for(;a"!==e[a+1]);)++a;return{name:r,value:e.substring(i,a),parsed:a-t}}parseXml(e){let t=0;for(;t",a);if\ +(t<0){this.onError(Wn);return}this.onEndElement(e.substring(a,t));a=t+1;break;case"?":++a;const r=this._parseProcessingInstruction(e,a);if("?>"!==e.substring(a+r.parsed,a+r.parsed+2)){this.onError(Un);return}this.onPi(r.name,r.value);a+=r.parsed+2;break;case"!":if("--"===e.substring(a+1,a+3)){t=e.indexOf("--\\x3e",a+3);if(t<0){this.onError(qn);return}this.onComment(e.substring(a+3,t));a=t+3}else if("[CDATA["===e.substring(a+1,a+8)){t=e.indexOf("]]>",a+8);if(t<0){this.onError(_n);return}this.onCda\ +ta(e.substring(a+8,t));a=t+3}else{if("DOCTYPE"!==e.substring(a+1,a+8)){this.onError(Hn);return}{const r=e.indexOf("[",a+8);let i=!1;t=e.indexOf(">",a+8);if(t<0){this.onError(Xn);return}if(r>0&&t>r){t=e.indexOf("]>",a+8);if(t<0){this.onError(Xn);return}i=!0}const n=e.substring(a+8,t+(i?1:0));this.onDoctype(n);a=t+(i?2:1)}}break;default:const i=this._parseContent(e,a);if(null===i){this.onError(Hn);return}let n=!1;if("/>"===e.substring(a+i.parsed,a+i.parsed+2))n=!0;else if(">"!==e.substring(a+i.par\ +sed,a+i.parsed+1)){this.onError(Wn);return}this.onBeginElement(i.name,i.attributes,n);a+=i.parsed+(n?2:1)}}else{for(;ae.textContent)).join(""):this.nodeValue||""}get children(){return this.childNodes||[]}hasChildNodes(){return this.childNodes?.length>0}searchNode(e,t){if(t>=e.length)return this;const a=e[t];if(a.name.startsWith("#")&&t0){r.push([i,0]);i=i.childNodes[0]}else{if(0===r.length)return null;for(;0!==r.length;){const[e,t]=r.pop(),a=t+1;if(a");for(const t of this.childNodes)t.dump(e);e.push(``)}else this.nodeValue?e.push(`>${encodeToXmlString(this.nodeValue)}`):e.push("/>")}else e.push(encodeToXmlString(this.nodeValue))}}class SimpleXMLParser extends XMLParserBase{constructor({hasAt\ +tributes:e=!1,lowerCaseName:t=!1}){super();this._currentFragment=null;this._stack=null;this._errorCode=jn;this._hasAttributes=e;this._lowerCaseName=t}parseFromString(e){this._currentFragment=[];this._stack=[];this._errorCode=jn;this.parseXml(e);if(this._errorCode!==jn)return;const[t]=this._currentFragment;return t?{documentElement:t}:void 0}onText(e){if(function isWhitespaceString(e){for(let t=0,a=e.length;t\\\\376\\\\377([^<]+)/g,(function(e,t){const a=t.replaceAll(/\\\\([0-3])([0-7])([0-7])/g,(function(e,t,a,r){return String.fromCharCode(64*t+8*a+1*r)})).replaceAll(/&(amp|apos|gt|lt|quot);/g,(function(e,t)\ +{switch(t){case"amp":return"&";case"apos":return"\'";case"gt":return">";case"lt":return"<";case"quot":return\'"\'}throw new Error(`_repair: ${t} isn\'t defined.`)})),r=[">"];for(let e=0,t=a.length;e=32&&t<127&&60!==t&&62!==t&&38!==t?r.push(String.fromCharCode(t)):r.push("&#x"+(65536+t).toString(16).substring(1)+";")}return r.join("")}))}_getSequence(e){const t=e.nodeName;return"rdf:bag"!==t&&"rdf:seq"!==t&&"rdf:alt"!==t?null:e.childNodes.filte\ +r((e=>"rdf:li"===e.nodeName))}_parseArray(e){if(!e.hasChildNodes())return;const[t]=e.childNodes,a=this._getSequence(t)||[];this._metadataMap.set(e.nodeName,a.map((e=>e.textContent.trim())))}_parse(e){let t=e.documentElement;if("rdf:rdf"!==t.nodeName){t=t.firstChild;for(;t&&"rdf:rdf"!==t.nodeName;)t=t.nextSibling}if(t&&"rdf:rdf"===t.nodeName&&t.hasChildNodes())for(const e of t.childNodes)if("rdf:description"===e.nodeName)for(const t of e.childNodes){const e=t.nodeName;switch(e){case"#text":contin\ +ue;case"dc:creator":case"dc:subject":this._parseArray(t);continue}this._metadataMap.set(e,t.textContent.trim())}}get serializable(){return{parsedData:this._metadataMap,rawData:this._data}}}const zn=1,$n=2,Gn=3,Vn=4,Kn=5;class StructTreeRoot{constructor(e,t,a){this.xref=e;this.dict=t;this.ref=a instanceof Ref?a:null;this.roleMap=new Map;this.structParentIds=null}init(){this.readRoleMap()}#Z(e,t,a){if(!(e instanceof Ref)||t<0)return;this.structParentIds||=new RefSetCache;let r=this.structParentIds\ +.get(e);if(!r){r=[];this.structParentIds.put(e,r)}r.push([t,a])}addAnnotationIdToPage(e,t){this.#Z(e,t,Vn)}readRoleMap(){const e=this.dict.get("RoleMap");if(e instanceof Dict)for(const[t,a]of e)a instanceof Name&&this.roleMap.set(t,a.name)}static async canCreateStructureTree({catalogRef:e,pdfManager:t,newAnnotationsByPage:a}){if(!(e instanceof Ref)){warn("Cannot save the struct tree: no catalog reference.");return!1}let r=0,i=!0;for(const[e,n]of a){const{ref:a}=await t.getPage(e);if(!(a instance\ +of Ref)){warn(`Cannot save the struct tree: page ${e} has no ref.`);i=!0;break}for(const e of n)if(e.accessibilityData?.type){e.parentTreeId=r++;i=!1}}if(i){for(const e of a.values())for(const t of e)delete t.parentTreeId;return!1}return!0}static async createStructureTree({newAnnotationsByPage:e,xref:t,catalogRef:a,pdfManager:r,changes:i}){const n=await r.ensureCatalog("cloneDict"),s=new RefSetCache;s.put(a,n);const o=t.getNewTemporaryRef();n.set("StructTreeRoot",o);const c=new Dict(t);c.set("Ty\ +pe",Name.get("StructTreeRoot"));const l=t.getNewTemporaryRef();c.set("ParentTree",l);const h=[];c.set("K",h);s.put(o,c);const u=new Dict(t),d=[];u.set("Nums",d);const f=await this.#Q({newAnnotationsByPage:e,structTreeRootRef:o,structTreeRoot:null,kids:h,nums:d,xref:t,pdfManager:r,changes:i,cache:s});c.set("ParentTreeNextKey",f);s.put(l,u);for(const[e,t]of s.items())i.put(e,{data:t})}async canUpdateStructTree({pdfManager:e,newAnnotationsByPage:t}){if(!this.ref){warn("Cannot update the struct tree\ +: no root reference.");return!1}let a=this.dict.get("ParentTreeNextKey");if(!Number.isInteger(a)||a<0){warn("Cannot update the struct tree: invalid next key.");return!1}const r=this.dict.get("ParentTree");if(!(r instanceof Dict)){warn("Cannot update the struct tree: ParentTree isn\'t a dict.");return!1}const i=r.get("Nums");if(!Array.isArray(i)){warn("Cannot update the struct tree: nums isn\'t an array.");return!1}const n=new NumberTree(r,this.xref);for(const a of t.keys()){const{pageDict:t}=await\ + e.getPage(a);if(!t.has("StructParents"))continue;const r=t.get("StructParents");if(!Number.isInteger(r)||!Array.isArray(n.get(r))){warn(`Cannot save the struct tree: page ${a} has a wrong id.`);return!1}}let s=!0;for(const[r,i]of t){const{pageDict:t}=await e.getPage(r);StructTreeRoot.#ee({elements:i,xref:this.xref,pageDict:t,numberTree:n});for(const e of i)if(e.accessibilityData?.type){e.accessibilityData.structParent>=0||(e.parentTreeId=a++);s=!1}}if(s){for(const e of t.values())for(const t of\ + e){delete t.parentTreeId;delete t.structTreeParent}return!1}return!0}async updateStructureTree({newAnnotationsByPage:e,pdfManager:t,changes:a}){const{ref:r,xref:i}=this,n=this.dict.clone(),s=new RefSetCache;s.put(r,n);let o,c=n.getRaw("ParentTree");if(c instanceof Ref)o=i.fetch(c);else{o=c;c=i.getNewTemporaryRef();n.set("ParentTree",c)}o=o.clone();s.put(c,o);let l=o.getRaw("Nums"),h=null;if(l instanceof Ref){h=l;l=i.fetch(h)}l=l.slice();h||o.set("Nums",l);const u=await StructTreeRoot.#Q({newAnn\ +otationsByPage:e,structTreeRootRef:r,structTreeRoot:this,kids:null,nums:l,xref:i,pdfManager:t,changes:a,cache:s});if(-1!==u){n.set("ParentTreeNextKey",u);h&&s.put(h,l);for(const[e,t]of s.items())a.put(e,{data:t})}}static async#Q({newAnnotationsByPage:e,structTreeRootRef:t,structTreeRoot:a,kids:r,nums:i,xref:n,pdfManager:s,changes:o,cache:c}){const l=Name.get("OBJR");let h,u=-1;for(const[d,f]of e){const e=await s.getPage(d),{ref:g}=e,p=g instanceof Ref;for(const{accessibilityData:s,ref:m,parentTr\ +eeId:b,structTreeParent:y}of f){if(!s?.type)continue;const{structParent:f}=s;if(a&&Number.isInteger(f)&&f>=0){let t=(h||=new Map).get(d);if(void 0===t){t=new StructTreePage(a,e.pageDict).collectObjects(g);h.set(d,t)}const r=t?.get(f);if(r){const e=n.fetch(r).clone();StructTreeRoot.#te(e,s);o.put(r,{data:e});continue}}u=Math.max(u,b);const w=n.getNewTemporaryRef(),x=new Dict(n);StructTreeRoot.#te(x,s);await this.#ae({structTreeParent:y,tagDict:x,newTagRef:w,structTreeRootRef:t,fallbackKids:r,xref\ +:n,cache:c});const S=new Dict(n);x.set("K",S);S.set("Type",l);p&&S.set("Pg",g);S.set("Obj",m);c.put(w,x);i.push(b,w)}}return u+1}static#te(e,{type:t,title:a,lang:r,alt:i,expanded:n,actualText:s}){e.set("S",Name.get(t));a&&e.set("T",stringToAsciiOrUTF16BE(a));r&&e.set("Lang",stringToAsciiOrUTF16BE(r));i&&e.set("Alt",stringToAsciiOrUTF16BE(i));n&&e.set("E",stringToAsciiOrUTF16BE(n));s&&e.set("ActualText",stringToAsciiOrUTF16BE(s))}static#ee({elements:e,xref:t,pageDict:a,numberTree:r}){const i=new \ +Map;for(const t of e)if(t.structTreeParentId){const e=parseInt(t.structTreeParentId.split("_mc")[1],10);let a=i.get(e);if(!a){a=[];i.set(e,a)}a.push(t)}const n=a.get("StructParents");if(!Number.isInteger(n))return;const s=r.get(n),updateElement=(e,a,r)=>{const n=i.get(e);if(n){const e=a.getRaw("P"),i=t.fetchIfRef(e);if(e instanceof Ref&&i instanceof Dict){const e={ref:r,dict:a};for(const t of n)t.structTreeParent=e}return!0}return!1};for(const e of s){if(!(e instanceof Ref))continue;const a=t.fe\ +tch(e),r=a.get("K");if(Number.isInteger(r))updateElement(r,a,e);else if(Array.isArray(r))for(let i of r){i=t.fetchIfRef(i);if(Number.isInteger(i)&&updateElement(i,a,e))break;if(!(i instanceof Dict))continue;if(!isName(i.get("Type"),"MCR"))break;const r=i.get("MCID");if(Number.isInteger(r)&&updateElement(r,a,e))break}}}static async#ae({structTreeParent:e,tagDict:t,newTagRef:a,structTreeRootRef:r,fallbackKids:i,xref:n,cache:s}){let o,c=null;if(e){({ref:c}=e);o=e.dict.getRaw("P")||r}else o=r;t.set(\ +"P",o);const l=n.fetchIfRef(o);if(!l){i.push(a);return}let h=s.get(o);if(!h){h=l.clone();s.put(o,h)}const u=h.getRaw("K");let d=u instanceof Ref?s.get(u):null;if(!d){d=n.fetchIfRef(u);d=Array.isArray(d)?d.slice():[u];const e=n.getNewTemporaryRef();h.set("K",e);s.put(e,d)}const f=d.indexOf(c);d.splice(f>=0?f+1:d.length,0,a)}}class StructElementNode{constructor(e,t){this.tree=e;this.xref=e.xref;this.dict=t;this.kids=[];this.parseKids()}get role(){const e=this.dict.get("S"),t=e instanceof Name?e.na\ +me:"",{root:a}=this.tree;return a.roleMap.get(t)??t}parseKids(){let e=null;const t=this.dict.getRaw("Pg");t instanceof Ref&&(e=t.toString());const a=this.dict.get("K");if(Array.isArray(a))for(const t of a){const a=this.parseKid(e,this.xref.fetchIfRef(t));a&&this.kids.push(a)}else{const t=this.parseKid(e,a);t&&this.kids.push(t)}}parseKid(e,t){if(Number.isInteger(t))return this.tree.pageDict.objId!==e?null:new StructElement({type:zn,mcid:t,pageObjId:e});if(!(t instanceof Dict))return null;const a=\ +t.getRaw("Pg");a instanceof Ref&&(e=a.toString());const r=t.get("Type")instanceof Name?t.get("Type").name:null;if("MCR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Stm");return new StructElement({type:$n,refObjId:a instanceof Ref?a.toString():null,pageObjId:e,mcid:t.get("MCID")})}if("OBJR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Obj");return new StructElement({type:Gn,refObjId:a instanceof Ref?a.toString():null,pageObjId:e})}return new StructElem\ +ent({type:Kn,dict:t})}}class StructElement{constructor({type:e,dict:t=null,mcid:a=null,pageObjId:r=null,refObjId:i=null}){this.type=e;this.dict=t;this.mcid=a;this.pageObjId=r;this.refObjId=i;this.parentNode=null}}class StructTreePage{constructor(e,t){this.root=e;this.xref=e?.xref??null;this.rootDict=e?.dict??null;this.pageDict=t;this.nodes=[]}collectObjects(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return null;const t=this.rootDict.get("ParentTree");if(!t)return null;const a=this.root.\ +structParentIds?.get(e);if(!a)return null;const r=new Map,i=new NumberTree(t,this.xref);for(const[e]of a){const t=i.getRaw(e);t instanceof Ref&&r.set(e,t)}return r}parse(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return;const t=this.rootDict.get("ParentTree");if(!t)return;const a=this.pageDict.get("StructParents"),r=this.root.structParentIds?.get(e);if(!Number.isInteger(a)&&!r)return;const i=new Map,n=new NumberTree(t,this.xref);if(Number.isInteger(a)){const e=n.get(a);if(Array.isArray(\ +e))for(const t of e)t instanceof Ref&&this.addNode(this.xref.fetch(t),i)}if(r)for(const[e,t]of r){const a=n.get(e);if(a){const e=this.addNode(this.xref.fetchIfRef(a),i);1===e?.kids?.length&&e.kids[0].type===Gn&&(e.kids[0].type=t)}}}addNode(e,t,a=0){if(a>40){warn("StructTree MAX_DEPTH reached.");return null}if(!(e instanceof Dict))return null;if(t.has(e))return t.get(e);const r=new StructElementNode(this,e);t.set(e,r);const i=e.get("P");if(!(i instanceof Dict)||isName(i.get("Type"),"StructTreeRoo\ +t")){this.addTopLevelNode(e,r)||t.delete(e);return r}const n=this.addNode(i,t,a+1);if(!n)return r;let s=!1;for(const t of n.kids)if(t.type===Kn&&t.dict===e){t.parentNode=r;s=!0}s||t.delete(e);return r}addTopLevelNode(e,t){const a=this.rootDict.get("K");if(!a)return!1;if(a instanceof Dict){if(a.objId!==e.objId)return!1;this.nodes[0]=t;return!0}if(!Array.isArray(a))return!0;let r=!1;for(let i=0;i40){warn("StructTree too deep to be fully serialized.");return}const r=Object.create(null);r.role=e.role;r.children=[];t.children.push(r);let i=e.dict.get("Alt");"string"!=typeof i&&(i=e.dict.get("ActualText"));"string"==typeof i&&(r.alt=stringToPDFString(i));const n=e.dict.get("A");if(n instanceof Dict){const e=lookupNormalRect(n.getArray("BBox"),null);if(e)r.bbox=e;else{const e=n.get("Width"),t=n.get("Height");"number"==typeof e&&e>0&&"number"==type\ +of t&&t>0&&(r.bbox=[0,0,e,t])}}const s=e.dict.get("Lang");"string"==typeof s&&(r.lang=stringToPDFString(s));for(const t of e.kids){const e=t.type===Kn?t.parentNode:null;e?nodeToSerializable(e,r,a+1):t.type===zn||t.type===$n?r.children.push({type:"content",id:`p${t.pageObjId}_mc${t.mcid}`}):t.type===Gn?r.children.push({type:"object",id:t.refObjId}):t.type===Vn&&r.children.push({type:"annotation",id:`pdfjs_internal_id_${t.refObjId}`})}}const e=Object.create(null);e.children=[];e.role="Root";for(co\ +nst t of this.nodes)t&&nodeToSerializable(t,e);return e}}const Jn=function _isValidExplicitDest(e,t,a){if(!Array.isArray(a)||a.length<2)return!1;const[r,i,...n]=a;if(!e(r)&&!Number.isInteger(r))return!1;if(!t(i))return!1;const s=n.length;let o=!0;switch(i.name){case"XYZ":if(s<2||s>3)return!1;break;case"Fit":case"FitB":return 0===s;case"FitH":case"FitBH":case"FitV":case"FitBV":if(s>1)return!1;break;case"FitR":if(4!==s)return!1;o=!1;break;default:return!1}for(const e of n)if(!("number"==typeof e||\ +o&&null===e))return!1;return!0}.bind(null,(e=>e instanceof Ref),isName);function fetchDest(e){e instanceof Dict&&(e=e.get("D"));return Jn(e)?e:null}function fetchRemoteDest(e){let t=e.get("D");if(t){t instanceof Name&&(t=t.name);if("string"==typeof t)return stringToPDFString(t,!0);if(Jn(t))return JSON.stringify(t)}return null}class Catalog{#re=null;#ie=null;builtInCMapCache=new Map;fontCache=new RefSetCache;globalColorSpaceCache=new GlobalColorSpaceCache;globalImageCache=new GlobalImageCache;non\ +BlendModesSet=new RefSet;pageDictCache=new RefSetCache;pageIndexCache=new RefSetCache;pageKidsCountCache=new RefSetCache;standardFontDataCache=new Map;systemFontCache=new Map;constructor(e,t){this.pdfManager=e;this.xref=t;this.#ie=t.getCatalogObj();if(!(this.#ie instanceof Dict))throw new FormatError("Catalog object is not a dictionary.");this.toplevelPagesDict}cloneDict(){return this.#ie.clone()}get version(){const e=this.#ie.get("Version");if(e instanceof Name){if(Ca.test(e.name))return shadow\ +(this,"version",e.name);warn(`Invalid PDF catalog version: ${e.name}`)}return shadow(this,"version",null)}get lang(){const e=this.#ie.get("Lang");return shadow(this,"lang",e&&"string"==typeof e?stringToPDFString(e):null)}get needsRendering(){const e=this.#ie.get("NeedsRendering");return shadow(this,"needsRendering","boolean"==typeof e&&e)}get collection(){let e=null;try{const t=this.#ie.get("Collection");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;inf\ +o("Cannot fetch Collection entry; assuming no collection is present.")}return shadow(this,"collection",e)}get acroForm(){let e=null;try{const t=this.#ie.get("AcroForm");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch AcroForm entry; assuming no forms are present.")}return shadow(this,"acroForm",e)}get acroFormRef(){const e=this.#ie.getRaw("AcroForm");return shadow(this,"acroFormRef",e instanceof Ref?e:null)}get metadata(){const e=this.#\ +ie.getRaw("Metadata");if(!(e instanceof Ref))return shadow(this,"metadata",null);let t=null;try{const a=this.xref.fetch(e,!this.xref.encrypt?.encryptMetadata);if(a instanceof BaseStream&&a.dict instanceof Dict){const e=a.dict.get("Type"),r=a.dict.get("Subtype");if(isName(e,"Metadata")&&isName(r,"XML")){const e=stringToUTF8String(a.getString());e&&(t=new MetadataParser(e).serializable)}}}catch(e){if(e instanceof MissingDataException)throw e;info(`Skipping invalid Metadata: "${e}".`)}return shadow\ +(this,"metadata",t)}get markInfo(){let e=null;try{e=this.#ne()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read mark info.")}return shadow(this,"markInfo",e)}#ne(){const e=this.#ie.get("MarkInfo");if(!(e instanceof Dict))return null;const t={Marked:!1,UserProperties:!1,Suspects:!1};for(const a in t){const r=e.get(a);"boolean"==typeof r&&(t[a]=r)}return t}get structTreeRoot(){let e=null;try{e=this.#se()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable r\ +ead to structTreeRoot info.")}return shadow(this,"structTreeRoot",e)}#se(){const e=this.#ie.getRaw("StructTreeRoot"),t=this.xref.fetchIfRef(e);if(!(t instanceof Dict))return null;const a=new StructTreeRoot(this.xref,t,e);a.init();return a}get toplevelPagesDict(){const e=this.#ie.get("Pages");if(!(e instanceof Dict))throw new FormatError("Invalid top-level pages dictionary.");return shadow(this,"toplevelPagesDict",e)}get documentOutline(){let e=null;try{e=this.#oe()}catch(e){if(e instanceof Missi\ +ngDataException)throw e;warn("Unable to read document outline.")}return shadow(this,"documentOutline",e)}#oe(){let e=this.#ie.get("Outlines");if(!(e instanceof Dict))return null;e=e.getRaw("First");if(!(e instanceof Ref))return null;const t={items:[]},a=[{obj:e,parent:t}],r=new RefSet;r.put(e);const i=this.xref,n=new Uint8ClampedArray(3);for(;a.length>0;){const t=a.shift(),s=i.fetchIfRef(t.obj);if(null===s)continue;s.has("Title")||warn("Invalid outline item encountered.");const o={url:null,dest:\ +null,action:null};Catalog.parseDestDictionary({destDict:s,resultObj:o,docBaseUrl:this.baseUrl,docAttachments:this.attachments});const c=s.get("Title"),l=s.get("F")||0,h=s.getArray("C"),u=s.get("Count");let d=n;!isNumberArray(h,3)||0===h[0]&&0===h[1]&&0===h[2]||(d=ColorSpaceUtils.rgb.getRgb(h,0));const f={action:o.action,attachment:o.attachment,dest:o.dest,url:o.url,unsafeUrl:o.unsafeUrl,newWindow:o.newWindow,setOCGState:o.setOCGState,title:"string"==typeof c?stringToPDFString(c):"",color:d,count\ +:Number.isInteger(u)?u:void 0,bold:!!(2&l),italic:!!(1&l),items:[]};t.parent.items.push(f);e=s.getRaw("First");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:f});r.put(e)}e=s.getRaw("Next");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:t.parent});r.put(e)}}return t.items.length>0?t.items:null}get permissions(){let e=null;try{e=this.#ce()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read permissions.")}return shadow(this,"permissions",e)}#ce(){const e=this.xr\ +ef.trailer.get("Encrypt");if(!(e instanceof Dict))return null;let t=e.get("P");if("number"!=typeof t)return null;t+=2**32;const a=[];for(const e in w){const r=w[e];t&r&&a.push(r)}return a}get optionalContentConfig(){let e=null;try{const t=this.#ie.get("OCProperties");if(!t)return shadow(this,"optionalContentConfig",null);const a=t.get("D");if(!a)return shadow(this,"optionalContentConfig",null);const r=t.get("OCGs");if(!Array.isArray(r))return shadow(this,"optionalContentConfig",null);const i=new\ + RefSetCache;for(const e of r)e instanceof Ref&&!i.has(e)&&i.put(e,this.#le(e));e=this.#he(a,i)}catch(e){if(e instanceof MissingDataException)throw e;warn(`Unable to read optional content config: ${e}`)}return shadow(this,"optionalContentConfig",e)}#le(e){const t=this.xref.fetch(e),a={id:e.toString(),name:null,intent:null,usage:{print:null,view:null},rbGroups:[]},r=t.get("Name");"string"==typeof r&&(a.name=stringToPDFString(r));let i=t.getArray("Intent");Array.isArray(i)||(i=[i]);i.every((e=>e i\ +nstanceof Name))&&(a.intent=i.map((e=>e.name)));const n=t.get("Usage");if(!(n instanceof Dict))return a;const s=a.usage,o=n.get("Print");if(o instanceof Dict){const e=o.get("PrintState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.print={printState:e.name}}}const c=n.get("View");if(c instanceof Dict){const e=c.get("ViewState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.view={viewState:e.name}}}return a}#he(e,t){function parseOnOff(e){const a=[];if(Array.isArray(e))for(\ +const r of e)r instanceof Ref&&t.has(r)&&a.push(r.toString());return a}function parseOrder(e,a=0){if(!Array.isArray(e))return null;const i=[];for(const n of e){if(n instanceof Ref&&t.has(n)){r.put(n);i.push(n.toString());continue}const e=parseNestedOrder(n,a);e&&i.push(e)}if(a>0)return i;const n=[];for(const[e]of t.items())r.has(e)||n.push(e.toString());n.length&&i.push({name:null,order:n});return i}function parseNestedOrder(e,t){if(++t>i){warn("parseNestedOrder - reached MAX_NESTED_LEVELS.");re\ +turn null}const r=a.fetchIfRef(e);if(!Array.isArray(r))return null;const n=a.fetchIfRef(r[0]);if("string"!=typeof n)return null;const s=parseOrder(r.slice(1),t);return s?.length?{name:stringToPDFString(n),order:s}:null}const a=this.xref,r=new RefSet,i=10;!function parseRBGroups(e){if(Array.isArray(e))for(const r of e){const e=a.fetchIfRef(r);if(!Array.isArray(e)||!e.length)continue;const i=new Set;for(const a of e)if(a instanceof Ref&&t.has(a)&&!i.has(a.toString())){i.add(a.toString());t.get(a).\ +rbGroups.push(i)}}}(e.get("RBGroups"));return{name:"string"==typeof e.get("Name")?stringToPDFString(e.get("Name")):null,creator:"string"==typeof e.get("Creator")?stringToPDFString(e.get("Creator")):null,baseState:e.get("BaseState")instanceof Name?e.get("BaseState").name:null,on:parseOnOff(e.get("ON")),off:parseOnOff(e.get("OFF")),order:parseOrder(e.get("Order")),groups:[...t]}}setActualNumPages(e=null){this.#re=e}get hasActualNumPages(){return null!==this.#re}get _pagesCount(){const e=this.tople\ +velPagesDict.get("Count");if(!Number.isInteger(e))throw new FormatError("Page count in top-level pages dictionary is not an integer.");return shadow(this,"_pagesCount",e)}get numPages(){return this.#re??this._pagesCount}get destinations(){const e=this.#ue(),t=Object.create(null);for(const a of e)if(a instanceof NameTree)for(const[e,r]of a.getAll()){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]=a)}else if(a instanceof Dict)for(const[e,r]of a){const a=fetchDest(r);a&&(t[stringToPDFString(e,!\ +0)]||=a)}return shadow(this,"destinations",t)}getDestination(e){if(this.hasOwnProperty("destinations"))return this.destinations[e]??null;const t=this.#ue();for(const a of t)if(a instanceof NameTree||a instanceof Dict){const t=fetchDest(a.get(e));if(t)return t}if(t.length){const t=this.destinations[e];if(t)return t}return null}#ue(){const e=this.#ie.get("Names"),t=[];e?.has("Dests")&&t.push(new NameTree(e.getRaw("Dests"),this.xref));this.#ie.has("Dests")&&t.push(this.#ie.get("Dests"));return t}ge\ +t pageLabels(){let e=null;try{e=this.#de()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read page labels.")}return shadow(this,"pageLabels",e)}#de(){const e=this.#ie.getRaw("PageLabels");if(!e)return null;const t=new Array(this.numPages);let a=null,r="";const i=new NumberTree(e,this.xref).getAll();let n="",s=1;for(let e=0,o=this.numPages;e=1))throw new FormatError("Invalid st\ +art in PageLabel dictionary.");s=e}else s=1}switch(a){case"D":n=s;break;case"R":case"r":n=toRomanNumerals(s,"r"===a);break;case"A":case"a":const e=26,t="a"===a?97:65,r=s-1;n=String.fromCharCode(t+r%e).repeat(Math.floor(r/e)+1);break;default:if(a)throw new FormatError(`Invalid style "${a}" in PageLabel dictionary.`);n=""}t[e]=r+n;s++}return t}get pageLayout(){const e=this.#ie.get("PageLayout");let t="";if(e instanceof Name)switch(e.name){case"SinglePage":case"OneColumn":case"TwoColumnLeft":case"T\ +woColumnRight":case"TwoPageLeft":case"TwoPageRight":t=e.name}return shadow(this,"pageLayout",t)}get pageMode(){const e=this.#ie.get("PageMode");let t="UseNone";if(e instanceof Name)switch(e.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"FullScreen":case"UseOC":case"UseAttachments":t=e.name}return shadow(this,"pageMode",t)}get viewerPreferences(){const e=this.#ie.get("ViewerPreferences");if(!(e instanceof Dict))return shadow(this,"viewerPreferences",null);let t=null;for(const[a,r]of e\ +){let e;switch(a){case"HideToolbar":case"HideMenubar":case"HideWindowUI":case"FitWindow":case"CenterWindow":case"DisplayDocTitle":case"PickTrayByPDFSize":"boolean"==typeof r&&(e=r);break;case"NonFullScreenPageMode":if(r instanceof Name)switch(r.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"UseOC":e=r.name;break;default:e="UseNone"}break;case"Direction":if(r instanceof Name)switch(r.name){case"L2R":case"R2L":e=r.name;break;default:e="L2R"}break;case"ViewArea":case"ViewClip":case"Prin\ +tArea":case"PrintClip":if(r instanceof Name)switch(r.name){case"MediaBox":case"CropBox":case"BleedBox":case"TrimBox":case"ArtBox":e=r.name;break;default:e="CropBox"}break;case"PrintScaling":if(r instanceof Name)switch(r.name){case"None":case"AppDefault":e=r.name;break;default:e="AppDefault"}break;case"Duplex":if(r instanceof Name)switch(r.name){case"Simplex":case"DuplexFlipShortEdge":case"DuplexFlipLongEdge":e=r.name;break;default:e="None"}break;case"PrintPageRange":if(Array.isArray(r)&&r.length\ +%2==0){r.every(((e,t,a)=>Number.isInteger(e)&&e>0&&(0===t||e>=a[t-1])&&e<=this.numPages))&&(e=r)}break;case"NumCopies":Number.isInteger(r)&&r>0&&(e=r);break;default:warn(`Ignoring non-standard key in ViewerPreferences: ${a}.`);continue}if(void 0!==e){t??=Object.create(null);t[a]=e}else warn(`Bad value, for key "${a}", in ViewerPreferences: ${r}.`)}return shadow(this,"viewerPreferences",t)}get openAction(){const e=this.#ie.get("OpenAction"),t=Object.create(null);if(e instanceof Dict){const a=new \ +Dict(this.xref);a.set("A",e);const r={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:a,resultObj:r});Array.isArray(r.dest)?t.dest=r.dest:r.action&&(t.action=r.action)}else Jn(e)&&(t.dest=e);return shadow(this,"openAction",objectSize(t)>0?t:null)}get attachments(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("EmbeddedFiles")){const a=new NameTree(e.getRaw("EmbeddedFiles"),this.xref);for(const[e,r]of a.getAll()){const a=new FileSpec(r,this.xref);t??=O\ +bject.create(null);t[stringToPDFString(e,!0)]=a.serializable}}return shadow(this,"attachments",t)}get xfaImages(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("XFAImages")){const a=new NameTree(e.getRaw("XFAImages"),this.xref);for(const[e,r]of a.getAll())if(r instanceof BaseStream){t??=new Map;t.set(stringToPDFString(e,!0),r.getBytes())}}return shadow(this,"xfaImages",t)}#fe(){const e=this.#ie.get("Names");let t=null;function appendIfJavaScriptDict(e,a){if(!(a instanceof \ +Dict))return;if(!isName(a.get("S"),"JavaScript"))return;let r=a.get("JS");if(r instanceof BaseStream)r=r.getString();else if("string"!=typeof r)return;r=stringToPDFString(r,!0).replaceAll("\\0","");r&&(t||=new Map).set(e,r)}if(e instanceof Dict&&e.has("JavaScript")){const t=new NameTree(e.getRaw("JavaScript"),this.xref);for(const[e,a]of t.getAll())appendIfJavaScriptDict(stringToPDFString(e,!0),a)}const a=this.#ie.get("OpenAction");a&&appendIfJavaScriptDict("OpenAction",a);return t}get jsActions()\ +{const e=this.#fe();let t=collectActions(this.xref,this.#ie,we);if(e){t||=Object.create(null);for(const[a,r]of e)a in t?t[a].push(r):t[a]=[r]}return shadow(this,"jsActions",t)}async cleanup(e=!1){clearGlobalCaches();this.globalColorSpaceCache.clear();this.globalImageCache.clear(e);this.pageKidsCountCache.clear();this.pageIndexCache.clear();this.pageDictCache.clear();this.nonBlendModesSet.clear();for(const{dict:e}of await Promise.all(this.fontCache))delete e.cacheKey;this.fontCache.clear();this.b\ +uiltInCMapCache.clear();this.standardFontDataCache.clear();this.systemFontCache.clear()}async getPageDict(e){const t=[this.toplevelPagesDict],a=new RefSet,r=this.#ie.getRaw("Pages");r instanceof Ref&&a.put(r);const i=this.xref,n=this.pageKidsCountCache,s=this.pageIndexCache,o=this.pageDictCache;let c=0;for(;t.length;){const r=t.pop();if(r instanceof Ref){const l=n.get(r);if(l>=0&&c+l<=e){c+=l;continue}if(a.has(r))throw new FormatError("Pages tree contains circular reference.");a.put(r);const h=a\ +wait(o.get(r)||i.fetchAsync(r));if(h instanceof Dict){let t=h.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!h.has("Kids")){n.has(r)||n.put(r,1);s.has(r)||s.put(r,c);if(c===e)return[h,r];c++;continue}}t.push(h);continue}if(!(r instanceof Dict))throw new FormatError("Page dictionary kid reference points to wrong type of object.");const{objId:l}=r;let h=r.getRaw("Count");h instanceof Ref&&(h=await i.fetchAsync(h));if(Number.isInteger(h)&&h>=0){l&&!n.has(l)&&n.put(\ +l,h);if(c+h<=e){c+=h;continue}}let u=r.getRaw("Kids");u instanceof Ref&&(u=await i.fetchAsync(u));if(!Array.isArray(u)){let t=r.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!r.has("Kids")){if(c===e)return[r,null];c++;continue}throw new FormatError("Page dictionary kids object is not an array.")}for(let e=u.length-1;e>=0;e--){const a=u[e];t.push(a);r===this.toplevelPagesDict&&a instanceof Ref&&!o.has(a)&&o.put(a,i.fetchAsync(a))}}throw new Error(`Page index ${e}\ + not found.`)}async getAllPageDicts(e=!1){const{ignoreErrors:t}=this.pdfManager.evaluatorOptions,a=[{currentNode:this.toplevelPagesDict,posInKids:0}],r=new RefSet,i=this.#ie.getRaw("Pages");i instanceof Ref&&r.put(i);const n=new Map,s=this.xref,o=this.pageIndexCache;let c=0;function addPageDict(e,t){t&&!o.has(t)&&o.put(t,c);n.set(c++,[e,t])}function addPageError(a){if(a instanceof XRefEntryException&&!e)throw a;if(e&&t&&0===c){warn(`getAllPageDicts - Skipping invalid first page: "${a}".`);a=Dict\ +.empty}n.set(c++,[a,null])}for(;a.length>0;){const e=a.at(-1),{currentNode:t,posInKids:i}=e;let n=t.getRaw("Kids");if(n instanceof Ref)try{n=await s.fetchAsync(n)}catch(e){addPageError(e);break}if(!Array.isArray(n)){addPageError(new FormatError("Page dictionary kids object is not an array."));break}if(i>=n.length){a.pop();continue}const o=n[i];let c;if(o instanceof Ref){if(r.has(o)){addPageError(new FormatError("Pages tree contains circular reference."));break}r.put(o);try{c=await s.fetchAsync(o\ +)}catch(e){addPageError(e);break}}else c=o;if(!(c instanceof Dict)){addPageError(new FormatError("Page dictionary kid reference points to wrong type of object."));break}let l=c.getRaw("Type");if(l instanceof Ref)try{l=await s.fetchAsync(l)}catch(e){addPageError(e);break}isName(l,"Page")||!c.has("Kids")?addPageDict(c,o instanceof Ref?o:null):a.push({currentNode:c,posInKids:0});e.posInKids++}return n}getPageIndex(e){const t=this.pageIndexCache.get(e);if(void 0!==t)return Promise.resolve(t);const a\ +=this.xref;let r=0;const next=t=>function pagesBeforeRef(t){let r,i=0;return a.fetchAsync(t).then((function(a){if(isRefsEqual(t,e)&&!isDict(a,"Page")&&!(a instanceof Dict&&!a.has("Type")&&a.has("Contents")))throw new FormatError("The reference does not point to a /Page dictionary.");if(!a)return null;if(!(a instanceof Dict))throw new FormatError("Node must be a dictionary.");r=a.getRaw("Parent");return a.getAsync("Parent")})).then((function(e){if(!e)return null;if(!(e instanceof Dict))throw new \ +FormatError("Parent must be a dictionary.");return e.getAsync("Kids")})).then((function(e){if(!e)return null;const n=[];let s=!1;for(const r of e){if(!(r instanceof Ref))throw new FormatError("Kid must be a reference.");if(isRefsEqual(r,t)){s=!0;break}n.push(a.fetchAsync(r).then((function(e){if(!(e instanceof Dict))throw new FormatError("Kid node must be a dictionary.");e.has("Count")?i+=e.get("Count"):i++})))}if(!s)throw new FormatError("Kid reference not found in parent\'s kids.");return Promis\ +e.all(n).then((()=>[i,r]))}))}(t).then((t=>{if(!t){this.pageIndexCache.put(e,r);return r}const[a,i]=t;r+=a;return next(i)}));return next(e)}get baseUrl(){const e=this.#ie.get("URI");if(e instanceof Dict){const t=e.get("Base");if("string"==typeof t){const e=createValidAbsoluteUrl(t,null,{tryConvertEncoding:!0});if(e)return shadow(this,"baseUrl",e.href)}}return shadow(this,"baseUrl",this.pdfManager.docBaseUrl)}static parseDestDictionary({destDict:e,resultObj:t,docBaseUrl:a=null,docAttachments:r=nu\ +ll}){if(!(e instanceof Dict)){warn("parseDestDictionary: `destDict` must be a dictionary.");return}let i,n,s=e.get("A");if(!(s instanceof Dict))if(e.has("Dest"))s=e.get("Dest");else{s=e.get("AA");s instanceof Dict&&(s.has("D")?s=s.get("D"):s.has("U")&&(s=s.get("U")))}if(s instanceof Dict){const e=s.get("S");if(!(e instanceof Name)){warn("parseDestDictionary: Invalid type in Action dictionary.");return}const a=e.name;switch(a){case"ResetForm":const e=s.get("Flags"),o=!(1&("number"==typeof e?e:0))\ +,c=[],l=[];for(const e of s.get("Fields")||[])e instanceof Ref?l.push(e.toString()):"string"==typeof e&&c.push(stringToPDFString(e));t.resetForm={fields:c,refs:l,include:o};break;case"URI":i=s.get("URI");i instanceof Name&&(i="/"+i.name);break;case"GoTo":n=s.get("D");break;case"Launch":case"GoToR":const h=s.get("F");if(h instanceof Dict){const e=new FileSpec(h,null,!0),{rawFilename:t}=e.serializable;i=t}else"string"==typeof h&&(i=h);const u=fetchRemoteDest(s);u&&"string"==typeof i&&(i=i.split("#\ +",1)[0]+"#"+u);const d=s.get("NewWindow");"boolean"==typeof d&&(t.newWindow=d);break;case"GoToE":const f=s.get("T");let g;if(r&&f instanceof Dict){const e=f.get("R"),t=f.get("N");isName(e,"C")&&"string"==typeof t&&(g=r[stringToPDFString(t,!0)])}if(g){t.attachment=g;const e=fetchRemoteDest(s);e&&(t.attachmentDest=e)}else warn(\'parseDestDictionary - unimplemented "GoToE" action.\');break;case"Named":const p=s.get("N");p instanceof Name&&(t.action=p.name);break;case"SetOCGState":const m=s.get("State\ +"),b=s.get("PreserveRB");if(!Array.isArray(m)||0===m.length)break;const y=[];for(const e of m)if(e instanceof Name)switch(e.name){case"ON":case"OFF":case"Toggle":y.push(e.name)}else e instanceof Ref&&y.push(e.toString());if(y.length!==m.length)break;t.setOCGState={state:y,preserveRB:"boolean"!=typeof b||b};break;case"JavaScript":const w=s.get("JS");let x;w instanceof BaseStream?x=w.getString():"string"==typeof w&&(x=w);const S=x&&recoverJsURL(stringToPDFString(x,!0));if(S){i=S.url;t.newWindow=S.\ +newWindow;break}default:if("JavaScript"===a||"SubmitForm"===a)break;warn(`parseDestDictionary - unsupported action: "${a}".`)}}else e.has("Dest")&&(n=e.get("Dest"));if("string"==typeof i){const e=createValidAbsoluteUrl(i,a,{addDefaultProtocol:!0,tryConvertEncoding:!0});e&&(t.url=e.href);t.unsafeUrl=i}if(n){n instanceof Name&&(n=n.name);"string"==typeof n?t.dest=stringToPDFString(n,!0):Jn(n)&&(t.dest=n)}}}function addChildren(e,t){if(e instanceof Dict)e=e.getRawValues();else if(e instanceof BaseS\ +tream)e=e.dict.getRawValues();else if(!Array.isArray(e))return;for(const r of e)((a=r)instanceof Ref||a instanceof Dict||a instanceof BaseStream||Array.isArray(a))&&t.push(r);var a}class ObjectLoader{refSet=new RefSet;constructor(e,t,a){this.dict=e;this.keys=t;this.xref=a}async load(){const{keys:e,dict:t}=this,a=[];for(const r of e){const e=t.getRaw(r);void 0!==e&&a.push(e)}await this.#ge(a);this.refSet=null}async#ge(e){const t=[],a=[];for(;e.length;){let r=e.pop();if(r instanceof Ref){if(this.r\ +efSet.has(r))continue;try{this.refSet.put(r);r=this.xref.fetch(r)}catch(e){if(!(e instanceof MissingDataException)){warn(`ObjectLoader.#walk - requesting all data: "${e}".`);await this.xref.stream.manager.requestAllChunks();return}t.push(r);a.push({begin:e.begin,end:e.end})}}if(r instanceof BaseStream){const e=r.getBaseStreams();if(e){let i=!1;for(const t of e)if(!t.isDataLoaded){i=!0;a.push({begin:t.start,end:t.end})}i&&t.push(r)}}addChildren(r,e)}if(a.length){await this.xref.stream.manager.req\ +uestRanges(a);for(const e of t)e instanceof Ref&&this.refSet.remove(e);await this.#ge(t)}}static async load(e,t,a){if(a.stream.isDataLoaded)return;const r=new ObjectLoader(e,t,a);await r.load()}}const Yn=Symbol(),Zn=Symbol(),Qn=Symbol(),es=Symbol(),ts=Symbol(),as=Symbol(),rs=Symbol(),is=Symbol(),ns=Symbol(),ss=Symbol("content"),os=Symbol("data"),cs=Symbol(),ls=Symbol("extra"),hs=Symbol(),us=Symbol(),ds=Symbol(),fs=Symbol(),gs=Symbol(),ps=Symbol(),ms=Symbol(),bs=Symbol(),ys=Symbol(),ws=Symbol(),x\ +s=Symbol(),Ss=Symbol(),As=Symbol(),ks=Symbol(),Cs=Symbol(),vs=Symbol(),Fs=Symbol(),Is=Symbol(),Ts=Symbol(),Os=Symbol(),Ms=Symbol(),Ds=Symbol(),Bs=Symbol(),Rs=Symbol(),Ns=Symbol(),Es=Symbol(),Ls=Symbol(),js=Symbol(),_s=Symbol(),Us=Symbol(),Xs=Symbol(),qs=Symbol(),Hs=Symbol("namespaceId"),Ws=Symbol("nodeName"),zs=Symbol(),$s=Symbol(),Gs=Symbol(),Vs=Symbol(),Ks=Symbol(),Js=Symbol(),Ys=Symbol(),Zs=Symbol(),Qs=Symbol("root"),eo=Symbol(),to=Symbol(),ao=Symbol(),ro=Symbol(),io=Symbol(),no=Symbol(),so=S\ +ymbol(),oo=Symbol(),co=Symbol(),lo=Symbol(),ho=Symbol(),uo=Symbol("uid"),fo=Symbol(),go={config:{id:0,check:e=>e.startsWith("http://www.xfa.org/schema/xci/")},connectionSet:{id:1,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-connection-set/")},datasets:{id:2,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-data/")},form:{id:3,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-form/")},localeSet:{id:4,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-locale-set/")},pdf:{id:5,check\ +:e=>"http://ns.adobe.com/xdp/pdf/"===e},signature:{id:6,check:e=>"http://www.w3.org/2000/09/xmldsig#"===e},sourceSet:{id:7,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-source-set/")},stylesheet:{id:8,check:e=>"http://www.w3.org/1999/XSL/Transform"===e},template:{id:9,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-template/")},xdc:{id:10,check:e=>e.startsWith("http://www.xfa.org/schema/xdc/")},xdp:{id:11,check:e=>"http://ns.adobe.com/xdp/"===e},xfdf:{id:12,check:e=>"http://ns.adobe.\ +com/xfdf/"===e},xhtml:{id:13,check:e=>"http://www.w3.org/1999/xhtml"===e},xmpmeta:{id:14,check:e=>"http://ns.adobe.com/xmpmeta/"===e}},po={pt:e=>e,cm:e=>e/2.54*72,mm:e=>e/25.4*72,in:e=>72*e,px:e=>e},mo=/([+-]?\\d+\\.?\\d*)(.*)/;function stripQuotes(e){return e.startsWith("\'")||e.startsWith(\'"\')?e.slice(1,-1):e}function getInteger({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseInt(e,10);return!isNaN(r)&&a(r)?r:t}function getFloat({data:e,defaultValue:t,validate:a}){if(!e)\ +return t;e=e.trim();const r=parseFloat(e);return!isNaN(r)&&a(r)?r:t}function getKeyword({data:e,defaultValue:t,validate:a}){return e&&a(e=e.trim())?e:t}function getStringOption(e,t){return getKeyword({data:e,defaultValue:t[0],validate:e=>t.includes(e)})}function getMeasurement(e,t="0"){t||="0";if(!e)return getMeasurement(t);const a=e.trim().match(mo);if(!a)return getMeasurement(t);const[,r,i]=a,n=parseFloat(r);if(isNaN(n))return getMeasurement(t);if(0===n)return 0;const s=po[i];return s?s(n):n}f\ +unction getRatio(e){if(!e)return{num:1,den:1};const t=e.split(":",2).map((e=>parseFloat(e.trim()))).filter((e=>!isNaN(e)));1===t.length&&t.push(1);if(0===t.length)return{num:1,den:1};const[a,r]=t;return{num:a,den:r}}function getRelevant(e){return e?e.trim().split(/\\s+/).map((e=>({excluded:"-"===e[0],viewname:e.substring(1)}))):[]}class HTMLResult{static get FAILURE(){return shadow(this,"FAILURE",new HTMLResult(!1,null,null,null))}static get EMPTY(){return shadow(this,"EMPTY",new HTMLResult(!0,nu\ +ll,null,null))}constructor(e,t,a,r){this.success=e;this.html=t;this.bbox=a;this.breakNode=r}isBreak(){return!!this.breakNode}static breakNode(e){return new HTMLResult(!1,null,null,e)}static success(e,t=null){return new HTMLResult(!0,e,t,null)}}class FontFinder{constructor(e){this.fonts=new Map;this.cache=new Map;this.warned=new Set;this.defaultFont=null;this.add(e)}add(e,t=null){for(const t of e)this.addPdfFont(t);for(const e of this.fonts.values())e.regular||(e.regular=e.italic||e.bold||e.boldi\ +talic);if(!t||0===t.size)return;const a=this.fonts.get("PdfJS-Fallback-PdfJS-XFA");for(const e of t)this.fonts.set(e,a)}addPdfFont(e){const t=e.cssFontInfo,a=t.fontFamily;let r=this.fonts.get(a);if(!r){r=Object.create(null);this.fonts.set(a,r);this.defaultFont||(this.defaultFont=r)}let i="";const n=parseFloat(t.fontWeight);0!==parseFloat(t.italicAngle)?i=n>=700?"bolditalic":"italic":n>=700&&(i="bold");if(!i){(e.name.includes("Bold")||e.psName?.includes("Bold"))&&(i="bold");(e.name.includes("Ital\ +ic")||e.name.endsWith("It")||e.psName?.includes("Italic")||e.psName?.endsWith("It"))&&(i+="italic")}i||(i="regular");r[i]=e}getDefault(){return this.defaultFont}find(e,t=!0){let a=this.fonts.get(e)||this.cache.get(e);if(a)return a;const r=/,|-|_| |bolditalic|bold|italic|regular|it/gi;let i=e.replaceAll(r,"");a=this.fonts.get(i);if(a){this.cache.set(e,a);return a}i=i.toLowerCase();const n=[];for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t);if(0===n.l\ +ength)for(const[,e]of this.fonts.entries())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(0===n.length){i=i.replaceAll(/psmt|mt/gi,"");for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t)}if(0===n.length)for(const e of this.fonts.values())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(n.length>=1){1!==n.length&&t&&warn(`XFA - Too many choices to guess the correct font: ${e}`);this.cache.set(e,n[0])\ +;return n[0]}if(t&&!this.warned.has(e)){this.warned.add(e);warn(`XFA - Cannot find the font: ${e}`)}return null}}function selectFont(e,t){return"italic"===e.posture?"bold"===e.weight?t.bolditalic:t.italic:"bold"===e.weight?t.bold:t.regular}class FontInfo{constructor(e,t,a,r){this.lineHeight=a;this.paraMargin=t||{top:0,bottom:0,left:0,right:0};if(!e){[this.pdfFont,this.xfaFont]=this.defaultFont(r);return}this.xfaFont={typeface:e.typeface,posture:e.posture,weight:e.weight,size:e.size,letterSpacing\ +:e.letterSpacing};const i=r.find(e.typeface);if(i){this.pdfFont=selectFont(e,i);this.pdfFont||([this.pdfFont,this.xfaFont]=this.defaultFont(r))}else[this.pdfFont,this.xfaFont]=this.defaultFont(r)}defaultFont(e){const t=e.find("Helvetica",!1)||e.find("Myriad Pro",!1)||e.find("Arial",!1)||e.getDefault();if(t?.regular){const e=t.regular;return[e,{typeface:e.cssFontInfo.fontFamily,posture:"normal",weight:"normal",size:10,letterSpacing:0}]}return[null,{typeface:"Courier",posture:"normal",weight:"norm\ +al",size:10,letterSpacing:0}]}}class FontSelector{constructor(e,t,a,r){this.fontFinder=r;this.stack=[new FontInfo(e,t,a,r)]}pushData(e,t,a){const r=this.stack.at(-1);for(const t of["typeface","posture","weight","size","letterSpacing"])e[t]||(e[t]=r.xfaFont[t]);for(const e of["top","bottom","left","right"])isNaN(t[e])&&(t[e]=r.paraMargin[e]);const i=new FontInfo(e,t,a||r.lineHeight,this.fontFinder);i.pdfFont||(i.pdfFont=r.pdfFont);this.stack.push(i)}popFont(){this.stack.pop()}topFont(){return thi\ +s.stack.at(-1)}}class TextMeasure{constructor(e,t,a,r){this.glyphs=[];this.fontSelector=new FontSelector(e,t,a,r);this.extraHeight=0}pushData(e,t,a){this.fontSelector.pushData(e,t,a)}popFont(e){return this.fontSelector.popFont()}addPara(){const e=this.fontSelector.topFont();this.extraHeight+=e.paraMargin.top+e.paraMargin.bottom}addString(e){if(!e)return;const t=this.fontSelector.topFont(),a=t.xfaFont.size;if(t.pdfFont){const r=t.xfaFont.letterSpacing,i=t.pdfFont,n=i.lineHeight||1.2,s=t.lineHeigh\ +t||Math.max(1.2,n)*a,o=n-(void 0===i.lineGap?.2:i.lineGap),c=Math.max(1,o)*a,l=a/1e3,h=i.defaultWidth||i.charsToGlyphs(" ")[0].width;for(const t of e.split(/[\\u2029\\n]/)){const e=i.encodeString(t).join(""),a=i.charsToGlyphs(e);for(const e of a){const t=e.width||h;this.glyphs.push([t*l+r,s,c,e.unicode,!1])}this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}else{for(const t of e.split(/[\\u2029\\n]/)){for(const e of t.split(""))this.glyphs.push([a,1.2*a,a,e,!1]);this.glyphs.push([0,0,0,"\\n",!0])}th\ +is.glyphs.pop()}}compute(e){let t=-1,a=0,r=0,i=0,n=0,s=0,o=!1,c=!0;for(let l=0,h=this.glyphs.length;le){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;o=!0;c=!1}else{s=Math.max(m,s);a=n;n+=h;t=l}else if(n+h>e){i+=s;s=m;if(-1!==t){l=t;r=Math.max(r,a);n=0;t=-1;a=0}else{r=Math.max(r,n);n=h}o=!0;c=!1}else{n+=h;s=Math.max(m,s)}}r=Math.max(r,n);i+=s+this.extraHeight;return{width:1.02*r,he\ +ight:i,isBroken:o}}}const bo=/^[^.[]+/,yo=/^[^\\]]+/,wo=0,xo=1,So=2,Ao=3,ko=4,Co=new Map([["$data",(e,t)=>e.datasets?e.datasets.data:e],["$record",(e,t)=>(e.datasets?e.datasets.data:e)[Ss]()[0]],["$template",(e,t)=>e.template],["$connectionSet",(e,t)=>e.connectionSet],["$form",(e,t)=>e.form],["$layout",(e,t)=>e.layout],["$host",(e,t)=>e.host],["$dataWindow",(e,t)=>e.dataWindow],["$event",(e,t)=>e.event],["!",(e,t)=>e.datasets],["$xfa",(e,t)=>e],["xfa",(e,t)=>e],["$",(e,t)=>t]]),vo=new WeakMap;fun\ +ction parseExpression(e,t,a=!0){let r=e.match(bo);if(!r)return null;let[i]=r;const n=[{name:i,cacheName:"."+i,index:0,js:null,formCalc:null,operator:wo}];let s=i.length;for(;s0&&h.push(e)}if(0!==h.length||o||0!==c)e=isFinite(l)?h.filter((e=>l<\ +e.length)).map((e=>e[l])):h.flat();else{const a=t[vs]();if(!(t=a))return null;c=-1;e=[t]}}return 0===e.length?null:e}function createDataNode(e,t,a){const r=parseExpression(a);if(!r)return null;if(r.some((e=>e.operator===xo)))return null;const i=Co.get(r[0].name);let n=0;if(i){e=i(e,t);n=1}else e=t||e;for(let t=r.length;ne[so]())).join("")}get[Oo](){const e=Object.getPrototypeOf(this);if(!e._attributes){const t=e._attributes=new Set;for(const e of Object.getOwnPropertyNames(this)){if(null===this[e]||this[e]instanceof XFAObject||this[e]instanceof XFAObjectArray)break;t.add(e)}}return shadow(this,Oo,e._attributes)}[Es](e){let t=this;for(;t;){if(t===e)return!0;t=t[vs]()}return!1}[vs](){return this[Uo]}[Cs](){return thi\ +s[vs]()}[Ss](e=null){return e?this[e]:this[Mo]}[cs](){const e=Object.create(null);this[ss]&&(e.$content=this[ss]);for(const t of Object.getOwnPropertyNames(this)){const a=this[t];null!==a&&(a instanceof XFAObject?e[t]=a[cs]():a instanceof XFAObjectArray?a.isEmpty()||(e[t]=a.dump()):e[t]=a)}return e}[ho](){return null}[co](){return HTMLResult.EMPTY}*[As](){for(const e of this[Ss]())yield e}*[No](e,t){for(const a of this[As]())if(!e||t===e.has(a[Ws])){const e=this[gs](),t=a[co](e);t.success||(this\ +[ls].failingNode=a);yield t}}[us](){return null}[Zn](e,t){this[ls].children.push(e)}[gs](){}[es]({filter:e=null,include:t=!0}){if(this[ls].generator){const e=this[gs](),t=this[ls].failingNode[co](e);if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox);delete this[ls].failingNode}else this[ls].generator=this[No](e,t);for(;;){const e=this[ls].generator.next();if(e.done)break;const t=e.value;if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox)}this[ls].generator=null;return HTMLResult.EMPTY}[ro\ +](e){this[qo]=new Set(Object.keys(e))}[Po](e){const t=this[Oo],a=this[qo];return[...e].filter((e=>t.has(e)&&!a.has(e)))}[eo](e,t=new Set){for(const a of this[Mo])a[Xo](e,t)}[Xo](e,t){const a=this[Eo](e,t);a?this[Fo](a,e,t):this[eo](e,t)}[Eo](e,t){const{use:a,usehref:r}=this;if(!a&&!r)return null;let i=null,n=null,s=null,o=a;if(r){o=r;r.startsWith("#som(")&&r.endsWith(")")?n=r.slice(5,-1):r.startsWith(".#som(")&&r.endsWith(")")?n=r.slice(6,-1):r.startsWith("#")?s=r.slice(1):r.startsWith(".#")&&(s\ +=r.slice(2))}else a.startsWith("#")?s=a.slice(1):n=a;this.use=this.usehref="";if(s)i=e.get(s);else{i=searchNode(e.get(Qs),this,n,!0,!1);i&&(i=i[0])}if(!i){warn(`XFA - Invalid prototype reference: ${o}.`);return null}if(i[Ws]!==this[Ws]){warn(`XFA - Incompatible prototype: ${i[Ws]} !== ${this[Ws]}.`);return null}if(t.has(i)){warn("XFA - Cycle detected in prototypes use.");return null}t.add(i);const c=i[Eo](e,t);c&&i[Fo](c,e,t);i[eo](e,t);t.delete(i);return i}[Fo](e,t,a){if(a.has(e)){warn("XFA - C\ +ycle detected in prototypes use.");return}!this[ss]&&e[ss]&&(this[ss]=e[ss]);new Set(a).add(e);for(const t of this[Po](e[qo])){this[t]=e[t];this[qo]&&this[qo].add(t)}for(const r of Object.getOwnPropertyNames(this)){if(this[Oo].has(r))continue;const i=this[r],n=e[r];if(i instanceof XFAObjectArray){for(const e of i[Mo])e[Xo](t,a);for(let r=i[Mo].length,s=n[Mo].length;rXFAObject[Do](e))):"object"==typeof e&&null!==e?Object.assign({},e):e}[is](){const e=Object.create(Object.getPrototypeOf(this));for(const t of Object.getOwnPropertySymbols(this))try{e[t]=this[t]}catch{shadow(e,t,this[t])}e[uo]=`${e[Ws]}${Wo++}`;e[Mo]=[];for(const t of Object.getOwnPropertyNames(this)){if(this[Oo].has(t)){e[t]=XFAObject[Do](this[t]);continue}c\ +onst a=this[t];e[t]=a instanceof XFAObjectArray?new XFAObjectArray(a[jo]):null}for(const t of this[Mo]){const a=t[Ws],r=t[is]();e[Mo].push(r);r[Uo]=e;null===e[a]?e[a]=r:e[a][Mo].push(r)}return e}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[ps](e){return this[e]}[ms](e,t,a=!0){return Array.from(this[bs](e,t,a))}*[bs](e,t,a=!0){if("parent"!==e){for(const a of this[Mo]){a[Ws]===e&&(yield a);a.name===e&&(yield a);(t||a[Us]())&&(yield*a[bs](e,t,!1))}a&&this[Oo].has(e)&&(yield new X\ +FAAttribute(this,e,this[e]))}else yield this[Uo]}}class XFAObjectArray{constructor(e=1/0){this[jo]=e;this[Mo]=[]}get isXFAObject(){return!1}get isXFAObjectArray(){return!0}push(e){if(this[Mo].length<=this[jo]){this[Mo].push(e);return!0}warn(`XFA - node "${e[Ws]}" accepts no more than ${this[jo]} children`);return!1}isEmpty(){return 0===this[Mo].length}dump(){return 1===this[Mo].length?this[Mo][0][cs]():this[Mo].map((e=>e[cs]()))}[is](){const e=new XFAObjectArray(this[jo]);e[Mo]=this[Mo].map((e=>\ +e[is]()));return e}get children(){return this[Mo]}clear(){this[Mo].length=0}}class XFAAttribute{constructor(e,t,a){this[Uo]=e;this[Ws]=t;this[ss]=a;this[ns]=!1;this[uo]="attribute"+Wo++}[vs](){return this[Uo]}[Ns](){return!0}[ys](){return this[ss].trim()}[io](e){e=e.value||"";this[ss]=e.toString()}[so](){return this[ss]}[Es](e){return this[Uo]===e||this[Uo][Es](e)}}class XmlObject extends XFAObject{constructor(e,t,a={}){super(e,t);this[ss]="";this[Bo]=null;if("#text"!==t){const e=new Map;this[Io\ +]=e;for(const[t,r]of Object.entries(a))e.set(t,new XFAAttribute(this,t,r));if(a.hasOwnProperty(zs)){const e=a[zs].xfa.dataNode;void 0!==e&&("dataGroup"===e?this[Bo]=!1:"dataValue"===e&&(this[Bo]=!0))}}this[ns]=!1}[lo](e){const t=this[Ws];if("#text"===t){e.push(encodeToXmlString(this[ss]));return}const a=utf8StringToString(t),r=this[Hs]===zo?"xfa:":"";e.push(`<${r}${a}`);for(const[t,a]of this[Io].entries()){const r=utf8StringToString(t);e.push(` ${r}="${encodeToXmlString(a[ss])}"`)}null!==this[Bo\ +]&&(this[Bo]?e.push(\' xfa:dataNode="dataValue"\'):e.push(\' xfa:dataNode="dataGroup"\'));if(this[ss]||0!==this[Mo].length){e.push(">");if(this[ss])"string"==typeof this[ss]?e.push(encodeToXmlString(this[ss])):this[ss][lo](e);else for(const t of this[Mo])t[lo](e);e.push(``)}else e.push("/>")}[$s](e){if(this[ss]){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];this[ss]=""}this[Qn](e);return!0}[Vs](e){this[ss]+=e}[hs](){if(this[ss]&&this[Mo].length>0){const e=new XmlObjec\ +t(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];delete this[ss]}}[co](){return"#text"===this[Ws]?HTMLResult.success({name:"#text",value:this[ss]}):HTMLResult.EMPTY}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[fs](){return this[Io]}[ps](e){const t=this[Io].get(e);return void 0!==t?t:this[Ss](e)}*[bs](e,t){const a=this[Io].get(e);a&&(yield a);for(const a of this[Mo]){a[Ws]===e&&(yield a);t&&(yield*a[bs](e,t))}}*[ds](e,t){const a=this[Io].get(e);!a||t&&a[ns]||(yield a);for(const a\ + of this[Mo])yield*a[ds](e,t)}*[xs](e,t,a){for(const r of this[Mo]){r[Ws]!==e||a&&r[ns]||(yield r);t&&(yield*r[xs](e,t,a))}}[Ns](){return null===this[Bo]?0===this[Mo].length||this[Mo][0][Hs]===go.xhtml.id:this[Bo]}[ys](){return null===this[Bo]?0===this[Mo].length?this[ss].trim():this[Mo][0][Hs]===go.xhtml.id?this[Mo][0][so]().trim():null:this[ss].trim()}[io](e){e=e.value||"";this[ss]=e.toString()}[cs](e=!1){const t=Object.create(null);e&&(t.$ns=this[Hs]);this[ss]&&(t.$content=this[ss]);t.$name=t\ +his[Ws];t.children=[];for(const a of this[Mo])t.children.push(a[cs](e));t.attributes=Object.create(null);for(const[e,a]of this[Io])t.attributes[e]=a[ss];return t}}class ContentObject extends XFAObject{constructor(e,t){super(e,t);this[ss]=""}[Vs](e){this[ss]+=e}[hs](){}}class OptionObject extends ContentObject{constructor(e,t,a){super(e,t);this[_o]=a}[hs](){this[ss]=getKeyword({data:this[ss],defaultValue:this[_o][0],validate:e=>this[_o].includes(e)})}[ts](e){super[ts](e);delete this[_o]}}class St\ +ringObject extends ContentObject{[hs](){this[ss]=this[ss].trim()}}class IntegerObject extends ContentObject{constructor(e,t,a,r){super(e,t);this[Ro]=a;this[Ho]=r}[hs](){this[ss]=getInteger({data:this[ss],defaultValue:this[Ro],validate:this[Ho]})}[ts](e){super[ts](e);delete this[Ro];delete this[Ho]}}class Option01 extends IntegerObject{constructor(e,t){super(e,t,0,(e=>1===e))}}class Option10 extends IntegerObject{constructor(e,t){super(e,t,1,(e=>0===e))}}function measureToString(e){return"string"\ +==typeof e?"0px":Number.isInteger(e)?`${e}px`:`${e.toFixed(2)}px`}const $o={anchorType(e,t){const a=e[Cs]();if(a&&(!a.layout||"position"===a.layout)){"transform"in t||(t.transform="");switch(e.anchorType){case"bottomCenter":t.transform+="translate(-50%, -100%)";break;case"bottomLeft":t.transform+="translate(0,-100%)";break;case"bottomRight":t.transform+="translate(-100%,-100%)";break;case"middleCenter":t.transform+="translate(-50%,-50%)";break;case"middleLeft":t.transform+="translate(0,-50%)";br\ +eak;case"middleRight":t.transform+="translate(-100%,-50%)";break;case"topCenter":t.transform+="translate(-50%,0)";break;case"topRight":t.transform+="translate(-100%,0)"}}},dimensions(e,t){const a=e[Cs]();let r=e.w;const i=e.h;if(a.layout?.includes("row")){const t=a[ls],i=e.colSpan;let n;if(-1===i){n=Math.sumPrecise(t.columnWidths.slice(t.currentColumn));t.currentColumn=0}else{n=Math.sumPrecise(t.columnWidths.slice(t.currentColumn,t.currentColumn+i));t.currentColumn=(t.currentColumn+e.colSpan)%t.\ +columnWidths.length}isNaN(n)||(r=e.w=n)}t.width=""!==r?measureToString(r):"auto";t.height=""!==i?measureToString(i):"auto"},position(e,t){const a=e[Cs]();if(!a?.layout||"position"===a.layout){t.position="absolute";t.left=measureToString(e.x);t.top=measureToString(e.y)}},rotate(e,t){if(e.rotate){"transform"in t||(t.transform="");t.transform+=`rotate(-${e.rotate}deg)`;t.transformOrigin="top left"}},presence(e,t){switch(e.presence){case"invisible":t.visibility="hidden";break;case"hidden":case"inact\ +ive":t.display="none"}},hAlign(e,t){if("para"===e[Ws])switch(e.hAlign){case"justifyAll":t.textAlign="justify-all";break;case"radix":t.textAlign="left";break;default:t.textAlign=e.hAlign}else switch(e.hAlign){case"left":t.alignSelf="start";break;case"center":t.alignSelf="center";break;case"right":t.alignSelf="end"}},margin(e,t){e.margin&&(t.margin=e.margin[ho]().margin)}};function setMinMaxDimensions(e,t){if("position"===e[Cs]().layout){e.minW>0&&(t.minWidth=measureToString(e.minW));e.maxW>0&&(t.\ +maxWidth=measureToString(e.maxW));e.minH>0&&(t.minHeight=measureToString(e.minH));e.maxH>0&&(t.maxHeight=measureToString(e.maxH))}}function layoutText(e,t,a,r,i,n){const s=new TextMeasure(t,a,r,i);"string"==typeof e?s.addString(e):e[Ks](s);return s.compute(n)}function layoutNode(e,t){let a=null,r=null,i=!1;if((!e.w||!e.h)&&e.value){let n=0,s=0;if(e.margin){n=e.margin.leftInset+e.margin.rightInset;s=e.margin.topInset+e.margin.bottomInset}let o=null,c=null;if(e.para){c=Object.create(null);o=""===e\ 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i=Math.min(e.maxW,a.width);t.attributes.style.width=measureToString(i)}let \ +n=e.h;if(""===n){if(0===e.maxH){const t=e[Cs]();n="position"===t.layout&&""!==t.h?0:e.minH}else n=Math.min(e.maxH,a.height);t.attributes.style.height=measureToString(n)}r=[e.x,e.y,i,n]}return r}function fixDimensions(e){const t=e[Cs]();if(t.layout?.includes("row")){const a=t[ls],r=e.colSpan;let i;i=-1===r?Math.sumPrecise(a.columnWidths.slice(a.currentColumn)):Math.sumPrecise(a.columnWidths.slice(a.currentColumn,a.currentColumn+r));isNaN(i)||(e.w=i)}t.layout&&"position"!==t.layout&&(e.x=e.y=0);"t\ +able"===e.layout&&""===e.w&&Array.isArray(e.columnWidths)&&(e.w=Math.sumPrecise(e.columnWidths))}function layoutClass(e){switch(e.layout){case"position":default:return"xfaPosition";case"lr-tb":return"xfaLrTb";case"rl-row":return"xfaRlRow";case"rl-tb":return"xfaRlTb";case"row":return"xfaRow";case"table":return"xfaTable";case"tb":return"xfaTb"}}function toStyle(e,...t){const a=Object.create(null);for(const r of t){const t=e[r];if(null!==t)if($o.hasOwnProperty(r))$o[r](e,a);else if(t instanceof XFA\ +Object){const e=t[ho]();e?Object.assign(a,e):warn(`(DEBUG) - XFA - style for ${r} not implemented yet`)}}return a}function createWrapper(e,t){const{attributes:a}=t,{style:r}=a,i={name:"div",attributes:{class:["xfaWrapper"],style:Object.create(null)},children:[]};a.class.push("xfaWrapped");if(e.border){const{widths:a,insets:n}=e.border[ls];let s,o,c=n[0],l=n[3];const h=n[0]+n[2],u=n[1]+n[3];switch(e.border.hand){case"even":c-=a[0]/2;l-=a[3]/2;s=`calc(100% + ${(a[1]+a[3])/2-u}px)`;o=`calc(100% + $\ +{(a[0]+a[2])/2-h}px)`;break;case"left":c-=a[0];l-=a[3];s=`calc(100% + ${a[1]+a[3]-u}px)`;o=`calc(100% + ${a[0]+a[2]-h}px)`;break;case"right":s=u?`calc(100% - ${u}px)`:"100%";o=h?`calc(100% - ${h}px)`:"100%"}const d=["xfaBorder"];isPrintOnly(e.border)&&d.push("xfaPrintOnly");const f={name:"div",attributes:{class:d,style:{top:`${c}px`,left:`${l}px`,width:s,height:o}},children:[]};for(const e of["border","borderWidth","borderColor","borderRadius","borderStyle"])if(void 0!==r[e]){f.attributes.style[\ +e]=r[e];delete r[e]}i.children.push(f,t)}else i.children.push(t);for(const e of["background","backgroundClip","top","left","width","height","minWidth","minHeight","maxWidth","maxHeight","transform","transformOrigin","visibility"])if(void 0!==r[e]){i.attributes.style[e]=r[e];delete r[e]}i.attributes.style.position="absolute"===r.position?"absolute":"relative";delete r.position;if(r.alignSelf){i.attributes.style.alignSelf=r.alignSelf;delete r.alignSelf}return i}function fixTextIndent(e){const t=ge\ +tMeasurement(e.textIndent,"0px");if(t>=0)return;const a="padding"+("left"===("right"===e.textAlign?"right":"left")?"Left":"Right"),r=getMeasurement(e[a],"0px");e[a]=r-t+"px"}function setAccess(e,t){switch(e.access){case"nonInteractive":t.push("xfaNonInteractive");break;case"readOnly":t.push("xfaReadOnly");break;case"protected":t.push("xfaDisabled")}}function isPrintOnly(e){return e.relevant.length>0&&!e.relevant[0].excluded&&"print"===e.relevant[0].viewname}function getCurrentPara(e){const t=e[F\ +s]()[ls].paraStack;return t.length?t.at(-1):null}function setPara(e,t,a){if(a.attributes.class?.includes("xfaRich")){if(t){""===e.h&&(t.height="auto");""===e.w&&(t.width="auto")}const r=getCurrentPara(e);if(r){const e=a.attributes.style;e.display="flex";e.flexDirection="column";switch(r.vAlign){case"top":e.justifyContent="start";break;case"bottom":e.justifyContent="end";break;case"middle":e.justifyContent="center"}const t=r[ho]();for(const[a,r]of Object.entries(t))a in e||(e[a]=r)}}}function set\ +FontFamily(e,t,a,r){if(!a){delete r.fontFamily;return}const i=stripQuotes(e.typeface);r.fontFamily=`"${i}"`;const n=a.find(i);if(n){const{fontFamily:a}=n.regular.cssFontInfo;a!==i&&(r.fontFamily=`"${a}"`);const s=getCurrentPara(t);if(s&&""!==s.lineHeight)return;if(r.lineHeight)return;const o=selectFont(e,n);o&&(r.lineHeight=Math.max(1.2,o.lineHeight))}}function fixURL(e){const t=createValidAbsoluteUrl(e,null,{addDefaultProtocol:!0,tryConvertEncoding:!0});return t?t.href:null}function createLine(\ +e,t){return{name:"div",attributes:{class:["lr-tb"===e.layout?"xfaLr":"xfaRl"]},children:t}}function flushHTML(e){if(!e[ls])return null;const t={name:"div",attributes:e[ls].attributes,children:e[ls].children};if(e[ls].failingNode){const a=e[ls].failingNode[us]();a&&(e.layout.endsWith("-tb")?t.children.push(createLine(e,[a])):t.children.push(a))}return 0===t.children.length?null:t}function addHTML(e,t,a){const r=e[ls],i=r.availableSpace,[n,s,o,c]=a;switch(e.layout){case"position":r.width=Math.max(\ +r.width,n+o);r.height=Math.max(r.height,s+c);r.children.push(t);break;case"lr-tb":case"rl-tb":if(!r.line||1===r.attempt){r.line=createLine(e,[]);r.children.push(r.line);r.numberInLine=0}r.numberInLine+=1;r.line.children.push(t);if(0===r.attempt){r.currentWidth+=o;r.height=Math.max(r.height,r.prevHeight+c)}else{r.currentWidth=o;r.prevHeight=r.height;r.height+=c;r.attempt=0}r.width=Math.max(r.width,r.currentWidth);break;case"rl-row":case"row":{r.children.push(t);r.width+=o;r.height=Math.max(r.heig\ +ht,c);const e=measureToString(r.height);for(const t of r.children)t.attributes.style.height=e;break}case"table":case"tb":r.width=MathClamp(o,r.width,i.width);r.height+=c;r.children.push(t)}}function getAvailableSpace(e){const t=e[ls].availableSpace,a=e.margin?e.margin.topInset+e.margin.bottomInset:0,r=e.margin?e.margin.leftInset+e.margin.rightInset:0;switch(e.layout){case"lr-tb":case"rl-tb":return 0===e[ls].attempt?{width:t.width-r-e[ls].currentWidth,height:t.height-a-e[ls].prevHeight}:{width:t.\ +width-r,height:t.height-a-e[ls].height};case"rl-row":case"row":return{width:Math.sumPrecise(e[ls].columnWidths.slice(e[ls].currentColumn)),height:t.height-r};case"table":case"tb":return{width:t.width-r,height:t.height-a-e[ls].height};default:return t}}function checkDimensions(e,t){if(null===e[Fs]()[ls].firstUnsplittable)return!0;if(0===e.w||0===e.h)return!0;const a=e[Cs](),r=a[ls]?.attempt||0,[,i,n,s]=function getTransformedBBox(e){let t,a,r=""===e.w?NaN:e.w,i=""===e.h?NaN:e.h,[n,s]=[0,0];switch\ +(e.anchorType||""){case"bottomCenter":[n,s]=[r/2,i];break;case"bottomLeft":[n,s]=[0,i];break;case"bottomRight":[n,s]=[r,i];break;case"middleCenter":[n,s]=[r/2,i/2];break;case"middleLeft":[n,s]=[0,i/2];break;case"middleRight":[n,s]=[r,i/2];break;case"topCenter":[n,s]=[r/2,0];break;case"topRight":[n,s]=[r,0]}switch(e.rotate||0){case 0:[t,a]=[-n,-s];break;case 90:[t,a]=[-s,n];[r,i]=[i,-r];break;case 180:[t,a]=[n,s];[r,i]=[-r,-i];break;case 270:[t,a]=[s,-n];[r,i]=[-i,r]}return[e.x+t+Math.min(0,r),e.\ +y+a+Math.min(0,i),Math.abs(r),Math.abs(i)]}(e);switch(a.layout){case"lr-tb":case"rl-tb":return 0===r?e[Fs]()[ls].noLayoutFailure?""!==e.w?Math.round(n-t.width)<=2:t.width>2:!(""!==e.h&&Math.round(s-t.height)>2)&&(""!==e.w?Math.round(n-t.width)<=2||0===a[ls].numberInLine&&t.height>2:t.width>2):!!e[Fs]()[ls].noLayoutFailure||!(""!==e.h&&Math.round(s-t.height)>2)&&((""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2);case"table":case"tb":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||e[js](\ +)?(""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2:Math.round(s-t.height)<=2);case"position":if(e[Fs]()[ls].noLayoutFailure)return!0;if(""===e.h||Math.round(s+i-t.height)<=2)return!0;return s+i>e[Fs]()[ls].currentContentArea.h;case"rl-row":case"row":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||Math.round(s-t.height)<=2);default:return!0}}const Go=go.template.id,Vo="http://www.w3.org/2000/svg",Ko=/^H(\\d+)$/,Jo=new Set(["image/gif","image/jpeg","image/jpg","image/pjpeg","image/png","i\ +mage/apng","image/x-png","image/bmp","image/x-ms-bmp","image/tiff","image/tif","application/octet-stream"]),Yo=[[[66,77],"image/bmp"],[[255,216,255],"image/jpeg"],[[73,73,42,0],"image/tiff"],[[77,77,0,42],"image/tiff"],[[71,73,70,56,57,97],"image/gif"],[[137,80,78,71,13,10,26,10],"image/png"]];function getBorderDims(e){if(!e||!e.border)return{w:0,h:0};const t=e.border[ws]();return t?{w:t.widths[0]+t.widths[2]+t.insets[0]+t.insets[2],h:t.widths[1]+t.widths[3]+t.insets[1]+t.insets[3]}:{w:0,h:0}}fu\ +nction hasMargin(e){return e.margin&&(e.margin.topInset||e.margin.rightInset||e.margin.bottomInset||e.margin.leftInset)}function _setValue(e,t){if(!e.value){const t=new Value({});e[Qn](t);e.value=t}e.value[io](t)}function*getContainedChildren(e){for(const t of e[Ss]())t instanceof SubformSet?yield*t[As]():yield t}function isRequired(e){return"error"===e.validate?.nullTest}function setTabIndex(e){for(;e;){if(!e.traversal){e[no]=e[vs]()[no];return}if(e[no])return;let t=null;for(const a of e.traver\ +sal[Ss]())if("next"===a.operation){t=a;break}if(!t||!t.ref){e[no]=e[vs]()[no];return}const a=e[Fs]();e[no]=++a[no];const r=a[to](t.ref,e);if(!r)return;e=r[0]}}function applyAssist(e,t){const a=e.assist;if(a){const e=a[co]();e&&(t.title=e);const r=a.role.match(Ko);if(r){const e="heading",a=r[1];t.role=e;t["aria-level"]=a}}if("table"===e.layout)t.role="table";else if("row"===e.layout)t.role="row";else{const a=e[vs]();"row"===a.layout&&(t.role="TH"===a.assist?.role?"columnheader":"cell")}}function \ +ariaLabel(e){if(!e.assist)return null;const t=e.assist;return t.speak&&""!==t.speak[ss]?t.speak[ss]:t.toolTip?t.toolTip[ss]:null}function valueToHtml(e){return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:Object.create(null)},children:[{name:"span",attributes:{style:Object.create(null)},value:e}]})}function setFirstUnsplittable(e){const t=e[Fs]();if(null===t[ls].firstUnsplittable){t[ls].firstUnsplittable=e;t[ls].noLayoutFailure=!0}}function unsetFirstUnsplittable(e){const t\ +=e[Fs]();t[ls].firstUnsplittable===e&&(t[ls].noLayoutFailure=!1)}function handleBreak(e){if(e[ls])return!1;e[ls]=Object.create(null);if("auto"===e.targetType)return!1;const t=e[Fs]();let a=null;if(e.target){a=t[to](e.target,e[vs]());if(!a)return!1;a=a[0]}const{currentPageArea:r,currentContentArea:i}=t[ls];if("pageArea"===e.targetType){a instanceof PageArea||(a=null);if(e.startNew){e[ls].target=a||r;return!0}if(a&&a!==r){e[ls].target=a;return!0}return!1}a instanceof ContentArea||(a=null);const n=\ +a&&a[vs]();let s,o=n;if(e.startNew)if(a){const e=n.contentArea.children,t=e.indexOf(i),r=e.indexOf(a);-1!==t&&te;r[ls].noLayoutFailure=!0;const s=t[co](a);e[Zn](s.html,s.bbox);r[ls].noLayoutFailure=i;t[Cs]=n}class AppearanceFilter ex\ +tends StringObject{constructor(e){super(Go,"appearanceFilter");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Arc extends XFAObject{constructor(e){super(Go,"arc",!0);this.circular=getInteger({data:e.circular,defaultValue:0,validate:e=>1===e});this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.startAngle=getFloat({data:e.startAngle,defaultValue:0,validate:e=>!0});this.sweepAngle=getFloat(\ +{data:e.sweepAngle,defaultValue:360,validate:e=>!0});this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null;this.fill=null}[co](){const e=this.edge||new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;let r;const i={xmlns:Vo,style:{width:"100%",height:"100%",overflow:"visible"}};if(360===this.sweepAngle)r={name:"ellipse",attribu\ +tes:{xmlns:Vo,cx:"50%",cy:"50%",rx:"50%",ry:"50%",style:a}};else{const e=this.startAngle*Math.PI/180,t=this.sweepAngle*Math.PI/180,n=this.sweepAngle>180?1:0,[s,o,c,l]=[50*(1+Math.cos(e)),50*(1-Math.sin(e)),50*(1+Math.cos(e+t)),50*(1-Math.sin(e+t))];r={name:"path",attributes:{xmlns:Vo,d:`M ${s} ${o} A 50 50 0 ${n} 0 ${c} ${l}`,vectorEffect:"non-scaling-stroke",style:a}};Object.assign(i,{viewBox:"0 0 100 100",preserveAspectRatio:"none"})}const n={name:"svg",children:[r],attributes:i};if(hasMargin(\ +this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[n]});n.attributes.style.position="absolute";return HTMLResult.success(n)}}class Area extends XFAObject{constructor(e){super(Go,"area",!0);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.x=getMeasurement(e.x,"\ +0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null;this.area=new XFAObjectArray;this.draw=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Us](){return!0}[Rs](){return!0}[Zn](e,t){const[a,r,i,n]=t;this[ls].width=Math.max(this[ls].width,a+i);this[ls].height=Math.max(this[ls].height,r+n);this[ls].children\ +.push(e)}[gs](){return this[ls].availableSpace}[co](e){const t=toStyle(this,"position"),a={style:t,id:this[uo],class:["xfaArea"]};isPrintOnly(this)&&a.class.push("xfaPrintOnly");this.name&&(a.xfaName=this.name);const r=[];this[ls]={children:r,width:0,height:0,availableSpace:e};const i=this[es]({filter:new Set(["area","draw","field","exclGroup","subform","subformSet"]),include:!0});if(!i.success){if(i.isBreak())return i;delete this[ls];return HTMLResult.FAILURE}t.width=measureToString(this[ls].wi\ +dth);t.height=measureToString(this[ls].height);const n={name:"div",attributes:a,children:r},s=[this.x,this.y,this[ls].width,this[ls].height];delete this[ls];return HTMLResult.success(n,s)}}class Assist extends XFAObject{constructor(e){super(Go,"assist",!0);this.id=e.id||"";this.role=e.role||"";this.use=e.use||"";this.usehref=e.usehref||"";this.speak=null;this.toolTip=null}[co](){return this.toolTip?.[ss]||null}}class Barcode extends XFAObject{constructor(e){super(Go,"barcode",!0);this.charEncodi\ +ng=getKeyword({data:e.charEncoding?e.charEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.checksum=getStringOption(e.checksum,["none","1mod10","1mod10_1mod11","2mod10","auto"]);this.dataColumnCount=getInteger({data:e.dataColumnCount,defaultValue:-1,validate:e=>e>=0});this.dataLength=getInteger({data:e.dataLength,defaultValue:-1,validate:\ +e=>e>=0});this.dataPrep=getStringOption(e.dataPrep,["none","flateCompress"]);this.dataRowCount=getInteger({data:e.dataRowCount,defaultValue:-1,validate:e=>e>=0});this.endChar=e.endChar||"";this.errorCorrectionLevel=getInteger({data:e.errorCorrectionLevel,defaultValue:-1,validate:e=>e>=0&&e<=8});this.id=e.id||"";this.moduleHeight=getMeasurement(e.moduleHeight,"5mm");this.moduleWidth=getMeasurement(e.moduleWidth,"0.25mm");this.printCheckDigit=getInteger({data:e.printCheckDigit,defaultValue:0,valid\ +ate:e=>1===e});this.rowColumnRatio=getRatio(e.rowColumnRatio);this.startChar=e.startChar||"";this.textLocation=getStringOption(e.textLocation,["below","above","aboveEmbedded","belowEmbedded","none"]);this.truncate=getInteger({data:e.truncate,defaultValue:0,validate:e=>1===e});this.type=getStringOption(e.type?e.type.toLowerCase():"",["aztec","codabar","code2of5industrial","code2of5interleaved","code2of5matrix","code2of5standard","code3of9","code3of9extended","code11","code49","code93","code128","\ +code128a","code128b","code128c","code128sscc","datamatrix","ean8","ean8add2","ean8add5","ean13","ean13add2","ean13add5","ean13pwcd","fim","logmars","maxicode","msi","pdf417","pdf417macro","plessey","postauscust2","postauscust3","postausreplypaid","postausstandard","postukrm4scc","postusdpbc","postusimb","postusstandard","postus5zip","qrcode","rfid","rss14","rss14expanded","rss14limited","rss14stacked","rss14stackedomni","rss14truncated","telepen","ucc128","ucc128random","ucc128sscc","upca","upca\ +add2","upcaadd5","upcapwcd","upce","upceadd2","upceadd5","upcean2","upcean5","upsmaxicode"]);this.upsMode=getStringOption(e.upsMode,["usCarrier","internationalCarrier","secureSymbol","standardSymbol"]);this.use=e.use||"";this.usehref=e.usehref||"";this.wideNarrowRatio=getRatio(e.wideNarrowRatio);this.encrypt=null;this.extras=null}}class Bind extends XFAObject{constructor(e){super(Go,"bind",!0);this.match=getStringOption(e.match,["once","dataRef","global","none"]);this.ref=e.ref||"";this.picture=\ +null}}class BindItems extends XFAObject{constructor(e){super(Go,"bindItems");this.connection=e.connection||"";this.labelRef=e.labelRef||"";this.ref=e.ref||"";this.valueRef=e.valueRef||""}}class Bookend extends XFAObject{constructor(e){super(Go,"bookend");this.id=e.id||"";this.leader=e.leader||"";this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}}class BooleanElement extends Option01{constructor(e){super(Go,"boolean");this.id=e.id||"";this.name=e.name||"";this.use=e.use||""\ +;this.usehref=e.usehref||""}[co](e){return valueToHtml(1===this[ss]?"1":"0")}}class Border extends XFAObject{constructor(e){super(Go,"border",!0);this.break=getStringOption(e.break,["close","open"]);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjec\ +tArray(4);this.extras=null;this.fill=null;this.margin=null}[ws](){if(!this[ls]){const e=this.edge.children.slice();if(e.length<4){const t=e.at(-1)||new Edge({});for(let a=e.length;a<4;a++)e.push(t)}const t=e.map((e=>e.thickness)),a=[0,0,0,0];if(this.margin){a[0]=this.margin.topInset;a[1]=this.margin.rightInset;a[2]=this.margin.bottomInset;a[3]=this.margin.leftInset}this[ls]={widths:t,insets:a,edges:e}}return this[ls]}[ho](){const{edges:e}=this[ws](),t=e.map((e=>{const t=e[ho]();t.color||="#00000\ +0";return t})),a=Object.create(null);this.margin&&Object.assign(a,this.margin[ho]());"visible"===this.fill?.presence&&Object.assign(a,this.fill[ho]());if(this.corner.children.some((e=>0!==e.radius))){const e=this.corner.children.map((e=>e[ho]()));if(2===e.length||3===e.length){const t=e.at(-1);for(let a=e.length;a<4;a++)e.push(t)}a.borderRadius=e.map((e=>e.radius)).join(" ")}switch(this.presence){case"invisible":case"hidden":a.borderStyle="";break;case"inactive":a.borderStyle="none";break;defaul\ +t:a.borderStyle=t.map((e=>e.style)).join(" ")}a.borderWidth=t.map((e=>e.width)).join(" ");a.borderColor=t.map((e=>e.color)).join(" ");return a}}class Break extends XFAObject{constructor(e){super(Go,"break",!0);this.after=getStringOption(e.after,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.afterTarget=e.afterTarget||"";this.before=getStringOption(e.before,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.beforeTarget=e.beforeTarget||"";this.bookendLeader=e.bookendLeader\ +||"";this.bookendTrailer=e.bookendTrailer||"";this.id=e.id||"";this.overflowLeader=e.overflowLeader||"";this.overflowTarget=e.overflowTarget||"";this.overflowTrailer=e.overflowTrailer||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class BreakAfter extends XFAObject{constructor(e){super(Go,"breakAfter",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValu\ +e:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}}class BreakBefore extends XFAObject{constructor(e){super(Go,"breakBefore",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","cont\ +entArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}[co](e){this[ls]={};return HTMLResult.FAILURE}}class Button extends XFAObject{constructor(e){super(Go,"button",!0);this.highlight=getStringOption(e.highlight,["inverted","none","outline","push"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[co](e){const t=this[vs]()[vs](),a={name:"button",attributes:{id:this[uo],class:["xfaButton"],style:{}},children\ +:[]};for(const e of t.event.children){if("click"!==e.activity||!e.script)continue;const t=recoverJsURL(e.script[ss]);if(!t)continue;const r=fixURL(t.url);r&&a.children.push({name:"a",attributes:{id:"link"+this[uo],href:r,newWindow:t.newWindow,class:["xfaLink"],style:{}},children:[]})}return HTMLResult.success(a)}}class Calculate extends XFAObject{constructor(e){super(Go,"calculate",!0);this.id=e.id||"";this.override=getStringOption(e.override,["disabled","error","ignore","warning"]);this.use=e.u\ +se||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.script=null}}class Caption extends XFAObject{constructor(e){super(Go,"caption",!0);this.id=e.id||"";this.placement=getStringOption(e.placement,["left","bottom","inline","right","top"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.reserve=Math.ceil(getMeasurement(e.reserve));this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.font=null;this.margin=null;this.para=\ +null;this.value=null}[io](e){_setValue(this,e)}[ws](e){if(!this[ls]){let{width:t,height:a}=e;switch(this.placement){case"left":case"right":case"inline":t=this.reserve<=0?t:this.reserve;break;case"top":case"bottom":a=this.reserve<=0?a:this.reserve}this[ls]=layoutNode(this,{width:t,height:a})}return this[ls]}[co](e){if(!this.value)return HTMLResult.EMPTY;this[Ys]();const t=this.value[co](e).html;if(!t){this[Js]();return HTMLResult.EMPTY}const a=this.reserve;if(this.reserve<=0){const{w:t,h:a}=this[\ +ws](e);switch(this.placement){case"left":case"right":case"inline":this.reserve=t;break;case"top":case"bottom":this.reserve=a}}const r=[];"string"==typeof t?r.push({name:"#text",value:t}):r.push(t);const i=toStyle(this,"font","margin","visibility");switch(this.placement){case"left":case"right":this.reserve>0&&(i.width=measureToString(this.reserve));break;case"top":case"bottom":this.reserve>0&&(i.height=measureToString(this.reserve))}setPara(this,null,t);this[Js]();this.reserve=a;return HTMLResult\ +.success({name:"div",attributes:{style:i,class:["xfaCaption"]},children:r})}}class Certificate extends StringObject{constructor(e){super(Go,"certificate");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Certificates extends XFAObject{constructor(e){super(Go,"certificates",!0);this.credentialServerPolicy=getStringOption(e.credentialServerPolicy,["optional","required"]);this.id=e.id||"";this.url=e.url||"";this.urlPolicy=e.urlPolicy||"";this.use=e.use||"";\ +this.usehref=e.usehref||"";this.encryption=null;this.issuers=null;this.keyUsage=null;this.oids=null;this.signing=null;this.subjectDNs=null}}class CheckButton extends XFAObject{constructor(e){super(Go,"checkButton",!0);this.id=e.id||"";this.mark=getStringOption(e.mark,["default","check","circle","cross","diamond","square","star"]);this.shape=getStringOption(e.shape,["square","round"]);this.size=getMeasurement(e.size,"10pt");this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extra\ +s=null;this.margin=null}[co](e){const t=toStyle(this,"margin"),a=measureToString(this.size);t.width=t.height=a;let r,i,n;const s=this[vs]()[vs](),o=s.items.children.length&&s.items.children[0][co]().html||[],c={on:(void 0!==o[0]?o[0]:"on").toString(),off:(void 0!==o[1]?o[1]:"off").toString()},l=(s.value?.[so]()||"off")===c.on||void 0,h=s[Cs](),u=s[uo];let d;if(h instanceof ExclGroup){n=h[uo];r="radio";i="xfaRadio";d=h[os]?.[uo]||h[uo]}else{r="checkbox";i="xfaCheckbox";d=s[os]?.[uo]||s[uo]}const \ +f={name:"input",attributes:{class:[i],style:t,fieldId:u,dataId:d,type:r,checked:l,xfaOn:c.on,xfaOff:c.off,"aria-label":ariaLabel(s),"aria-required":!1}};n&&(f.attributes.name=n);if(isRequired(s)){f.attributes["aria-required"]=!0;f.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[f]})}}class ChoiceList extends XFAObject{constructor(e){super(Go,"choiceList",!0);this.commitOn=getStringOption(e.commitOn,["select","exit"]);this.id=e.id||"";this.\ +open=getStringOption(e.open,["userControl","always","multiSelect","onEntry"]);this.textEntry=getInteger({data:e.textEntry,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","margin"),a=this[vs]()[vs](),r={fontSize:`calc(${a.font?.size||10}px * var(--total-scale-factor))`},i=[];if(a.items.children.length>0){const e=a.items;let t=0,n=0;if(2===e.children.length){t=e.children[0].sav\ +e;n=1-t}const s=e.children[t][co]().html,o=e.children[n][co]().html;let c=!1;const l=a.value?.[so]()||"";for(let e=0,t=s.length;eMathClamp(parseInt(e.\ +trim(),10),0,255))).map((e=>isNaN(e)?0:e));if(n.length<3)return{r:a,g:r,b:i};[a,r,i]=n;return{r:a,g:r,b:i}}(e.value):"";this.extras=null}[Ts](){return!1}[ho](){return this.value?Util.makeHexColor(this.value.r,this.value.g,this.value.b):null}}class Comb extends XFAObject{constructor(e){super(Go,"comb");this.id=e.id||"";this.numberOfCells=getInteger({data:e.numberOfCells,defaultValue:0,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||""}}class Connect extends XFAObject{constructor(e){\ +super(Go,"connect",!0);this.connection=e.connection||"";this.id=e.id||"";this.ref=e.ref||"";this.usage=getStringOption(e.usage,["exportAndImport","exportOnly","importOnly"]);this.use=e.use||"";this.usehref=e.usehref||"";this.picture=null}}class ContentArea extends XFAObject{constructor(e){super(Go,"contentArea",!0);this.h=getMeasurement(e.h);this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=getMeasurement(e.w);this.x=\ +getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null}[co](e){const t={left:measureToString(this.x),top:measureToString(this.y),width:measureToString(this.w),height:measureToString(this.h)},a=["xfaContentarea"];isPrintOnly(this)&&a.push("xfaPrintOnly");return HTMLResult.success({name:"div",children:[],attributes:{style:t,class:a,id:this[uo]}})}}class Corner extends XFAObject{constructor(e){super(Go,"corner",!0);this.id=e.id||"";this.inverted=getInteger({data:\ +e.inverted,defaultValue:0,validate:e=>1===e});this.join=getStringOption(e.join,["square","round"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.radius=getMeasurement(e.radius);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toSty\ +le(this,"visibility");e.radius=measureToString("square"===this.join?0:this.radius);return e}}class DateElement extends ContentObject{constructor(e){super(Go,"date");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTime extends ContentObject{constructor(e){super(Go,"dateTime");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";t\ +his.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTimeEdit extends XFAObject{constructor(e){super(Go,"dateTimeEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.picker=getStringOption(e.picker,["host","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toS\ +tyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Decimal extends ContentObject{constructor(e){super(Go,"decimal");this.fracDigits=getInteger({data:e.fracDigits,defaul\ +tValue:2,validate:e=>!0});this.id=e.id||"";this.leadDigits=getInteger({data:e.leadDigits,defaultValue:-1,validate:e=>!0});this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class DefaultUi extends XFAObject{constructor(e){super(Go,"defaultUi",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class Desc extends X\ +FAObject{constructor(e){super(Go,"desc",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class DigestMethod extends OptionObject{constructor(e){super(Go,"digestMethod",["","S\ +HA1","SHA256","SHA512","RIPEMD160"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class DigestMethods extends XFAObject{constructor(e){super(Go,"digestMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.digestMethod=new XFAObjectArray}}class Draw extends XFAObject{constructor(e){super(Go,"draw",!0);this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRig\ +ht","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||""\ +;this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.border=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;this.keep=null;this.margin=null;this.para=null;this.tra\ +versal=null;this.ui=null;this.value=null;this.setProperty=new XFAObjectArray}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;fixDimensions(this);this[Ys]();const t=this.w,a=this.h,{w:r,h:i,isBroken:n}=layoutNode(this,e);if(r&&""===this.w){if(n&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}this.w=r}i&&""===this.h&&(this.h=i);setFirstUnsplittable(this);if(!checkDimensions(this,e)){this.w=t;this.h=a;this[J\ +s]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const s=toStyle(this,"font","hAlign","dimensions","position","presence","rotate","anchorType","border","margin");setMinMaxDimensions(this,s);if(s.margin){s.padding=s.margin;delete s.margin}const o=["xfaDraw"];this.font&&o.push("xfaFont");isPrintOnly(this)&&o.push("xfaPrintOnly");const c={style:s,id:this[uo],class:o};this.name&&(c.xfaName=this.name);const l={name:"div",attributes:c,children:[]};applyAssist(this,c);const h=computeBbox(thi\ +s,l,e),u=this.value?this.value[co](e).html:null;if(null===u){this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}l.children.push(u);setPara(this,s,u);this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}}class Edge extends XFAObject{constructor(e){super(Go,"edge",!0);this.cap=getStringOption(e.cap,["square","butt","round"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.stroke=getS\ +tringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");Object.assign(e,{linecap:this.cap,width:measureToString(this.thickness),color:this.color?this.color[ho]():"#000000",style:""});if("visible"!==this.presence)e.style="none";else switch(this.stroke){case"solid":e.style=\ +"solid";break;case"dashDot":case"dashDotDot":case"dashed":e.style="dashed";break;case"dotted":e.style="dotted";break;case"embossed":e.style="ridge";break;case"etched":e.style="groove";break;case"lowered":e.style="inset";break;case"raised":e.style="outset"}return e}}class Encoding extends OptionObject{constructor(e){super(Go,"encoding",["adbe.x509.rsa_sha1","adbe.pkcs7.detached","adbe.pkcs7.sha1"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Encodings extends XFAObject{c\ +onstructor(e){super(Go,"encodings",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encoding=new XFAObjectArray}}class Encrypt extends XFAObject{constructor(e){super(Go,"encrypt",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=null}}class EncryptData extends XFAObject{constructor(e){super(Go,"encryptData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["encrypt","\ +decrypt"]);this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Encryption extends XFAObject{constructor(e){super(Go,"encryption",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class EncryptionMethod extends OptionObject{constructor(e){super(Go,"encryptionMethod",["","AES256-CBC","TRIPLEDES-CBC","AES128-CBC","AES192-CBC"])\ +;this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EncryptionMethods extends XFAObject{constructor(e){super(Go,"encryptionMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encryptionMethod=new XFAObjectArray}}class Event extends XFAObject{constructor(e){super(Go,"event",!0);this.activity=getStringOption(e.activity,["click","change","docClose","docReady","enter","exit","full","indexChange"\ +,"initialize","mouseDown","mouseEnter","mouseExit","mouseUp","postExecute","postOpen","postPrint","postSave","postSign","postSubmit","preExecute","preOpen","prePrint","preSave","preSign","preSubmit","ready","validationState"]);this.id=e.id||"";this.listen=getStringOption(e.listen,["refOnly","refAndDescendents"]);this.name=e.name||"";this.ref=e.ref||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.encryptData=null;this.execute=null;this.script=null;this.signData=null;this.su\ +bmit=null}}class ExData extends ContentObject{constructor(e){super(Go,"exData");this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.maxLength=getInteger({data:e.maxLength,defaultValue:-1,validate:e=>e>=-1});this.name=e.name||"";this.rid=e.rid||"";this.transferEncoding=getStringOption(e.transferEncoding,["none","base64","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[Bs](){return"text/html"===this.contentType}[$s](e){if("text/html"===this.contentType&&e[Hs]===\ +go.xhtml.id){this[ss]=e;return!0}if("text/xml"===this.contentType){this[ss]=e;return!0}return!1}[co](e){return"text/html"===this.contentType&&this[ss]?this[ss][co](e):HTMLResult.EMPTY}}class ExObject extends XFAObject{constructor(e){super(Go,"exObject",!0);this.archive=e.archive||"";this.classId=e.classId||"";this.codeBase=e.codeBase||"";this.codeType=e.codeType||"";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.boolean=new XFAObjectArra\ +y;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class ExclGroup extends XFAObject{constructor(e){super(Go,"exclGroup",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.accessKey=e.accessKey||\ +"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.maxH\ 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this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]\ +()[_s]()}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[gs](){return getAvailableSpace(this)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence||0===this.h\ +||0===this.w)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,attributes:a,attempt:0,line:null,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[js]();r||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const i=new Set(["field"]);i\ +f(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const n=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),s=["xfaExclgroup"],o=layoutClass(this);o&&s.push(o);isPrintOnly(this)&&s.push("xfaPrintOnly");a.style=n;a.class=s;this.name&&(a.xfaName=this.name);this[Ys]();const c="lr-tb"===this.layout||"rl-tb"===this.layout,l=c?2:1;for(;this[ls].attempte>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelev\ +ant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.border=null;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;this.format=null;this.items=new XFAObjectArray(2);this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null\ +;this.validate=null;this.value=null;this.bindItems=new XFAObjectArray;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if(!this.ui){this.ui=new Ui({});this.ui[Is]=this[Is];this[Qn](this.ui);let e;switch(this.items.children.length){case 0:e=new TextEdit({});this.ui.textEdit=e;break;case 1:e=new CheckButton({});this.ui.checkButton=e;break;case 2:e=new ChoiceList({});this.ui.choiceLi\ +st=e}this.ui[Qn](e)}if(!this.ui||"hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;this.caption&&delete this.caption[ls];this[Ys]();const t=this.caption?this.caption[co](e).html:null,a=this.w,r=this.h;let i=0,n=0;if(this.margin){i=this.margin.leftInset+this.margin.rightInset;n=this.margin.topInset+this.margin.bottomInset}let s=null;if(""===this.w||""===this.h){let t=null,a=null,r=0,o=0;if(this.ui.checkButton)r=o=this.ui.checkButton.size;else{con\ +st{w:t,h:a}=layoutNode(this,e);if(null!==t){r=t;o=a}else o=function fonts_getMetrics(e,t=!1){let a=null;if(e){const t=stripQuotes(e.typeface),r=e[Is].fontFinder.find(t);a=selectFont(e,r)}if(!a)return{lineHeight:12,lineGap:2,lineNoGap:10};const r=e.size||10,i=a.lineHeight?Math.max(t?0:1.2,a.lineHeight):1.2,n=void 0===a.lineGap?.2:a.lineGap;return{lineHeight:i*r,lineGap:n*r,lineNoGap:Math.max(1,i-n)*r}}(this.font,!0).lineNoGap}s=getBorderDims(this.ui[ws]());r+=s.w;o+=s.h;if(this.caption){const{w:i\ +,h:n,isBroken:s}=this.caption[ws](e);if(s&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}t=i;a=n;switch(this.caption.placement){case"left":case"right":case"inline":t+=r;break;case"top":case"bottom":a+=o}}else{t=r;a=o}if(t&&""===this.w){t+=i;this.w=Math.min(this.maxW<=0?1/0:this.maxW,this.minW+1e>=1&&e<=5});this.appearanceFilter=null;this.certificates=null;this.digestMethods=null;this.encodings=null;this.encryptionMethods=null;this.handler=null;this.lockDocument=null;this.mdp=null;this.reasons\ +=null;this.timeStamp=null}}class Float extends ContentObject{constructor(e){super(Go,"float");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class template_Font extends XFAObject{constructor(e){super(Go,"font",!0);this.baselineShift=getMeasurement(e.baselineShift);this.fontHorizontalScale=getFloat({data:e.fontHorizontalScale,\ +defaultValue:100,validate:e=>e>=0});this.fontVerticalScale=getFloat({data:e.fontVerticalScale,defaultValue:100,validate:e=>e>=0});this.id=e.id||"";this.kerningMode=getStringOption(e.kerningMode,["none","pair"]);this.letterSpacing=getMeasurement(e.letterSpacing,"0");this.lineThrough=getInteger({data:e.lineThrough,defaultValue:0,validate:e=>1===e||2===e});this.lineThroughPeriod=getStringOption(e.lineThroughPeriod,["all","word"]);this.overline=getInteger({data:e.overline,defaultValue:0,validate:e=>\ +1===e||2===e});this.overlinePeriod=getStringOption(e.overlinePeriod,["all","word"]);this.posture=getStringOption(e.posture,["normal","italic"]);this.size=getMeasurement(e.size,"10pt");this.typeface=e.typeface||"Courier";this.underline=getInteger({data:e.underline,defaultValue:0,validate:e=>1===e||2===e});this.underlinePeriod=getStringOption(e.underlinePeriod,["all","word"]);this.use=e.use||"";this.usehref=e.usehref||"";this.weight=getStringOption(e.weight,["normal","bold"]);this.extras=null;this\ +.fill=null}[ts](e){super[ts](e);this[Is].usedTypefaces.add(this.typeface)}[ho](){const e=toStyle(this,"fill"),t=e.color;if(t)if("#000000"===t)delete e.color;else if(!t.startsWith("#")){e.background=t;e.backgroundClip="text";e.color="transparent"}this.baselineShift&&(e.verticalAlign=measureToString(this.baselineShift));e.fontKerning="none"===this.kerningMode?"none":"normal";e.letterSpacing=measureToString(this.letterSpacing);if(0!==this.lineThrough){e.textDecoration="line-through";2===this.lineTh\ +rough&&(e.textDecorationStyle="double")}if(0!==this.overline){e.textDecoration="overline";2===this.overline&&(e.textDecorationStyle="double")}e.fontStyle=this.posture;e.fontSize=measureToString(.99*this.size);setFontFamily(this,this,this[Is].fontFinder,e);if(0!==this.underline){e.textDecoration="underline";2===this.underline&&(e.textDecorationStyle="double")}e.fontWeight=this.weight;return e}}class Format extends XFAObject{constructor(e){super(Go,"format",!0);this.id=e.id||"";this.use=e.use||"";\ +this.usehref=e.usehref||"";this.extras=null;this.picture=null}}class Handler extends StringObject{constructor(e){super(Go,"handler");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Hyphenation extends XFAObject{constructor(e){super(Go,"hyphenation");this.excludeAllCaps=getInteger({data:e.excludeAllCaps,defaultValue:0,validate:e=>1===e});this.excludeInitialCap=getInteger({data:e.excludeInitialCap,defaultValue:0,valida\ +te:e=>1===e});this.hyphenate=getInteger({data:e.hyphenate,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.pushCharacterCount=getInteger({data:e.pushCharacterCount,defaultValue:3,validate:e=>e>=0});this.remainCharacterCount=getInteger({data:e.remainCharacterCount,defaultValue:3,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||"";this.wordCharacterCount=getInteger({data:e.wordCharacterCount,defaultValue:7,validate:e=>e>=0})}}class Image extends StringObject{constructor(e){sup\ +er(Go,"image");this.aspect=getStringOption(e.aspect,["fit","actual","height","none","width"]);this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.name=e.name||"";this.transferEncoding=getStringOption(e.transferEncoding,["base64","none","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[co](){if(this.contentType&&!Jo.has(this.contentType.toLowerCase()))return HTMLResult.EMPTY;let e=this[Is].images?.get(this.href);if(!e&&(this.href||!this[ss]))return HTMLResult.EM\ +PTY;e||"base64"!==this.transferEncoding||(e=function fromBase64Util(e){return Uint8Array.fromBase64?Uint8Array.fromBase64(e):stringToBytes(atob(e))}(this[ss]));if(!e)return HTMLResult.EMPTY;if(!this.contentType){for(const[t,a]of Yo)if(e.length>t.length&&t.every(((t,a)=>t===e[a]))){this.contentType=a;break}if(!this.contentType)return HTMLResult.EMPTY}const t=new Blob([e],{type:this.contentType});let a;switch(this.aspect){case"fit":case"actual":break;case"height":a={height:"100%",objectFit:"fill"}\ +;break;case"none":a={width:"100%",height:"100%",objectFit:"fill"};break;case"width":a={width:"100%",objectFit:"fill"}}const r=this[vs]();return HTMLResult.success({name:"img",attributes:{class:["xfaImage"],style:a,src:URL.createObjectURL(t),alt:r?ariaLabel(r[vs]()):null}})}}class ImageEdit extends XFAObject{constructor(e){super(Go,"imageEdit",!0);this.data=getStringOption(e.data,["link","embed"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;thi\ +s.margin=null}[co](e){return"embed"===this.data?HTMLResult.success({name:"div",children:[],attributes:{}}):HTMLResult.EMPTY}}class Integer extends ContentObject{constructor(e){super(Go,"integer");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseInt(this[ss].trim(),10);this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class Issuers extends XFAObject{constructor(e){super(Go,"issuers",!0);this.id=e.id|\ +|"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Items extends XFAObject{constructor(e){super(Go,"items",!0);this.id=e.id||"";this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.ref=e.ref||"";this.save=getInteger({data:e.save,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray\ +;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[co](){const e=[];for(const t of this[Ss]())e.push(t[so]());return HTMLResult.success(e)}}class Keep extends XFAObject{constructor(e){super(Go,"keep",!0);this.id=e.id||"";const t=["none","contentArea","pageArea"];this.intact\ +=getStringOption(e.intact,t);this.next=getStringOption(e.next,t);this.previous=getStringOption(e.previous,t);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class KeyUsage extends XFAObject{constructor(e){super(Go,"keyUsage");const t=["","yes","no"];this.crlSign=getStringOption(e.crlSign,t);this.dataEncipherment=getStringOption(e.dataEncipherment,t);this.decipherOnly=getStringOption(e.decipherOnly,t);this.digitalSignature=getStringOption(e.digitalSignature,t);this.encipherOnly=ge\ +tStringOption(e.encipherOnly,t);this.id=e.id||"";this.keyAgreement=getStringOption(e.keyAgreement,t);this.keyCertSign=getStringOption(e.keyCertSign,t);this.keyEncipherment=getStringOption(e.keyEncipherment,t);this.nonRepudiation=getStringOption(e.nonRepudiation,t);this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Line extends XFAObject{constructor(e){super(Go,"line",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=\ +e.id||"";this.slope=getStringOption(e.slope,["\\\\","/"]);this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null}[co](){const e=this[vs]()[vs](),t=this.edge||new Edge({}),a=t[ho](),r=Object.create(null),i="visible"===t.presence?t.thickness:0;r.strokeWidth=measureToString(i);r.stroke=a.color;let n,s,o,c,l="100%",h="100%";if(e.w<=i){[n,s,o,c]=["50%",0,"50%","100%"];l=r.strokeWidth}else if(e.h<=i){[n,s,o,c]=[0,"50%","100%","50%"];h=r.strokeWidth}else"\\\\"===this.slope?[n,s,o,c]=[0,0,"100%","100%\ +"]:[n,s,o,c]=[0,"100%","100%",0];const u={name:"svg",children:[{name:"line",attributes:{xmlns:Vo,x1:n,y1:s,x2:o,y2:c,style:r}}],attributes:{xmlns:Vo,width:l,height:h,style:{overflow:"visible"}}};if(hasMargin(e))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[u]});u.attributes.style.position="absolute";return HTMLResult.success(u)}}class Linear extends XFAObject{constructor(e){super(Go,"linear",!0);this.id=e.id||"";this.type=getStri\ +ngOption(e.type,["toRight","toBottom","toLeft","toTop"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";return`linear-gradient(${this.type.replace(/([RBLT])/," $1").toLowerCase()}, ${e}, ${this.color?this.color[ho]():"#000000"})`}}class LockDocument extends ContentObject{constructor(e){super(Go,"lockDocument");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}[hs](\ +){this[ss]=getStringOption(this[ss],["auto","0","1"])}}class Manifest extends XFAObject{constructor(e){super(Go,"manifest",!0);this.action=getStringOption(e.action,["include","all","exclude"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.ref=new XFAObjectArray}}class Margin extends XFAObject{constructor(e){super(Go,"margin",!0);this.bottomInset=getMeasurement(e.bottomInset,"0");this.id=e.id||"";this.leftInset=getMeasurement(e.leftInset\ +,"0");this.rightInset=getMeasurement(e.rightInset,"0");this.topInset=getMeasurement(e.topInset,"0");this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](){return{margin:measureToString(this.topInset)+" "+measureToString(this.rightInset)+" "+measureToString(this.bottomInset)+" "+measureToString(this.leftInset)}}}class Mdp extends XFAObject{constructor(e){super(Go,"mdp");this.id=e.id||"";this.permissions=getInteger({data:e.permissions,defaultValue:2,validate:e=>1===e||3===e});this.s\ +ignatureType=getStringOption(e.signatureType,["filler","author"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Medium extends XFAObject{constructor(e){super(Go,"medium");this.id=e.id||"";this.imagingBBox=function getBBox(e){const t=-1;if(!e)return{x:t,y:t,width:t,height:t};const a=e.split(",",4).map((e=>getMeasurement(e.trim(),"-1")));if(a.length<4||a[2]<0||a[3]<0)return{x:t,y:t,width:t,height:t};const[r,i,n,s]=a;return{x:r,y:i,width:n,height:s}}(e.imagingBBox);this.long=getMeasurement(e\ +.long);this.orientation=getStringOption(e.orientation,["portrait","landscape"]);this.short=getMeasurement(e.short);this.stock=e.stock||"";this.trayIn=getStringOption(e.trayIn,["auto","delegate","pageFront"]);this.trayOut=getStringOption(e.trayOut,["auto","delegate"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Message extends XFAObject{constructor(e){super(Go,"message",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.text=new XFAObjectArray}}class NumericEdit exte\ +nds XFAObject{constructor(e){super(Go,"numericEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequir\ +ed(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Occur extends XFAObject{constructor(e){super(Go,"occur",!0);this.id=e.id||"";this.initial=""!==e.initial?getInteger({data:e.initial,defaultValue:"",validate:e=>!0}):"";this.max=""!==e.max?getInteger({data:e.max,defaultValue:1,validate:e=>!0}):"";this.min=""!==e.min?getInteger({data:e.min,defaultValue:1,validate:e=>!0}):"";this.use=e.use||"\ +";this.usehref=e.usehref||"";this.extras=null}[ts](){const e=this[vs](),t=this.min;""===this.min&&(this.min=e instanceof PageArea||e instanceof PageSet?0:1);""===this.max&&(this.max=""===t?e instanceof PageArea||e instanceof PageSet?-1:1:this.min);-1!==this.max&&this.max!0});this.name=e.name||"";this.numbered=getInteger({data:e.numbered,de\ +faultValue:1,validate:e=>!0});this.oddOrEven=getStringOption(e.oddOrEven,["any","even","odd"]);this.pagePosition=getStringOption(e.pagePosition,["any","first","last","only","rest"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.desc=null;this.extras=null;this.medium=null;this.occur=null;this.area=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.draw=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subfor\ +m=new XFAObjectArray}[Xs](){if(!this[ls]){this[ls]={numberOfUse:0};return!0}return!this.occur||-1===this.occur.max||this[ls].numberOfUsee.oddOrEven===t\ +&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&"any"===e.pagePosition));return r||this.pageArea.children[0]}}class Para extends XFAObject{constructor(e){super(Go,"para",!0);this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.lineHeight=e.lineHeight?getMeasurement(e.lineHeight,"0pt"):"";this.marginLe\ +ft=e.marginLeft?getMeasurement(e.marginLeft,"0pt"):"";this.marginRight=e.marginRight?getMeasurement(e.marginRight,"0pt"):"";this.orphans=getInteger({data:e.orphans,defaultValue:0,validate:e=>e>=0});this.preserve=e.preserve||"";this.radixOffset=e.radixOffset?getMeasurement(e.radixOffset,"0pt"):"";this.spaceAbove=e.spaceAbove?getMeasurement(e.spaceAbove,"0pt"):"";this.spaceBelow=e.spaceBelow?getMeasurement(e.spaceBelow,"0pt"):"";this.tabDefault=e.tabDefault?getMeasurement(this.tabDefault):"";this.\ +tabStops=(e.tabStops||"").trim().split(/\\s+/).map(((e,t)=>t%2==1?getMeasurement(e):e));this.textIndent=e.textIndent?getMeasurement(e.textIndent,"0pt"):"";this.use=e.use||"";this.usehref=e.usehref||"";this.vAlign=getStringOption(e.vAlign,["top","bottom","middle"]);this.widows=getInteger({data:e.widows,defaultValue:0,validate:e=>e>=0});this.hyphenation=null}[ho](){const e=toStyle(this,"hAlign");""!==this.marginLeft&&(e.paddingLeft=measureToString(this.marginLeft));""!==this.marginRight&&(e.padding\ +Right=measureToString(this.marginRight));""!==this.spaceAbove&&(e.paddingTop=measureToString(this.spaceAbove));""!==this.spaceBelow&&(e.paddingBottom=measureToString(this.spaceBelow));if(""!==this.textIndent){e.textIndent=measureToString(this.textIndent);fixTextIndent(e)}this.lineHeight>0&&(e.lineHeight=measureToString(this.lineHeight));""!==this.tabDefault&&(e.tabSize=measureToString(this.tabDefault));this.tabStops.length;this.hyphenatation&&Object.assign(e,this.hyphenatation[ho]());return e}}c\ +lass PasswordEdit extends XFAObject{constructor(e){super(Go,"passwordEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.passwordChar=e.passwordChar||"*";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}}class template_Pattern extends XFAObject{constructor(e){super(Go,"pattern",!0);this.id=e.id||"";this.type=getStringOption(e.type,["crossHatch","crossDiagonal","diagonalLeft","diagonalRight","horiz\ +ontal","vertical"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000",a="repeating-linear-gradient",r=`${e},${e} 5px,${t} 5px,${t} 10px`;switch(this.type){case"crossHatch":return`${a}(to top,${r}) ${a}(to right,${r})`;case"crossDiagonal":return`${a}(45deg,${r}) ${a}(-45deg,${r})`;case"diagonalLeft":return`${a}(45deg,${r})`;case"diagonalRight":return`${a}(-45deg,${r})`;case"horizontal":return`\ +${a}(to top,${r})`;case"vertical":return`${a}(to right,${r})`}return""}}class Picture extends StringObject{constructor(e){super(Go,"picture");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Proto extends XFAObject{constructor(e){super(Go,"proto",!0);this.appearanceFilter=new XFAObjectArray;this.arc=new XFAObjectArray;this.area=new XFAObjectArray;this.assist=new XFAObjectArray;this.barcode=new XFAObjectArray;this.bindItems=new XFAObjectArray;this.bookend=new XFAObjectArray;t\ +his.boolean=new XFAObjectArray;this.border=new XFAObjectArray;this.break=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.button=new XFAObjectArray;this.calculate=new XFAObjectArray;this.caption=new XFAObjectArray;this.certificate=new XFAObjectArray;this.certificates=new XFAObjectArray;this.checkButton=new XFAObjectArray;this.choiceList=new XFAObjectArray;this.color=new XFAObjectArray;this.comb=new XFAObjectArray;this.connect=new XFAObjectArray;this.\ +contentArea=new XFAObjectArray;this.corner=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.dateTimeEdit=new XFAObjectArray;this.decimal=new XFAObjectArray;this.defaultUi=new XFAObjectArray;this.desc=new XFAObjectArray;this.digestMethod=new XFAObjectArray;this.digestMethods=new XFAObjectArray;this.draw=new XFAObjectArray;this.edge=new XFAObjectArray;this.encoding=new XFAObjectArray;this.encodings=new XFAObjectArray;this.encrypt=new XFAObjectArray;this.encrypt\ +Data=new XFAObjectArray;this.encryption=new XFAObjectArray;this.encryptionMethod=new XFAObjectArray;this.encryptionMethods=new XFAObjectArray;this.event=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.execute=new XFAObjectArray;this.extras=new XFAObjectArray;this.field=new XFAObjectArray;this.fill=new XFAObjectArray;this.filter=new XFAObjectArray;this.float=new XFAObjectArray;this.font=new XFAObjectArray;this.format=new XF\ +AObjectArray;this.handler=new XFAObjectArray;this.hyphenation=new XFAObjectArray;this.image=new XFAObjectArray;this.imageEdit=new XFAObjectArray;this.integer=new XFAObjectArray;this.issuers=new XFAObjectArray;this.items=new XFAObjectArray;this.keep=new XFAObjectArray;this.keyUsage=new XFAObjectArray;this.line=new XFAObjectArray;this.linear=new XFAObjectArray;this.lockDocument=new XFAObjectArray;this.manifest=new XFAObjectArray;this.margin=new XFAObjectArray;this.mdp=new XFAObjectArray;this.mediu\ +m=new XFAObjectArray;this.message=new XFAObjectArray;this.numericEdit=new XFAObjectArray;this.occur=new XFAObjectArray;this.oid=new XFAObjectArray;this.oids=new XFAObjectArray;this.overflow=new XFAObjectArray;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray;this.para=new XFAObjectArray;this.passwordEdit=new XFAObjectArray;this.pattern=new XFAObjectArray;this.picture=new XFAObjectArray;this.radial=new XFAObjectArray;this.reason=new XFAObjectArray;this.reasons=new XFAObjectArray;th\ +is.rectangle=new XFAObjectArray;this.ref=new XFAObjectArray;this.script=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.signData=new XFAObjectArray;this.signature=new XFAObjectArray;this.signing=new XFAObjectArray;this.solid=new XFAObjectArray;this.speak=new XFAObjectArray;this.stipple=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray;this.subjectDN=new XFAObjectArray;this.subjectDNs=new XFAObjectArray;this.submit=new XFAObjectArray;this.text=new X\ +FAObjectArray;this.textEdit=new XFAObjectArray;this.time=new XFAObjectArray;this.timeStamp=new XFAObjectArray;this.toolTip=new XFAObjectArray;this.traversal=new XFAObjectArray;this.traverse=new XFAObjectArray;this.ui=new XFAObjectArray;this.validate=new XFAObjectArray;this.value=new XFAObjectArray;this.variables=new XFAObjectArray}}class Radial extends XFAObject{constructor(e){super(Go,"radial",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toEdge","toCenter"]);this.use=e.use||"";this.u\ +sehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000";return`radial-gradient(circle at center, ${"toEdge"===this.type?`${e},${t}`:`${t},${e}`})`}}class Reason extends StringObject{constructor(e){super(Go,"reason");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Reasons extends XFAObject{constructor(e){super(Go,"reasons",!0);this.id=e.id||"";this.type=getStringOption(e.type,["opt\ +ional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.reason=new XFAObjectArray}}class Rectangle extends XFAObject{constructor(e){super(Go,"rectangle",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.fill=null}[co](){const e=this.edge.children.length?this.edge.children[0]:new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.f\ +ill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;const r=(this.corner.children.length?this.corner.children[0]:new Corner({}))[ho](),i={name:"svg",children:[{name:"rect",attributes:{xmlns:Vo,width:"100%",height:"100%",x:0,y:0,rx:r.radius,ry:r.radius,style:a}}],attributes:{xmlns:Vo,style:{overflow:"visible"},width:"100%",height:"100%"}};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({n\ +ame:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[i]});i.attributes.style.position="absolute";return HTMLResult.success(i)}}class RefElement extends StringObject{constructor(e){super(Go,"ref");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Script extends StringObject{constructor(e){super(Go,"script");this.binding=e.binding||"";this.contentType=e.contentType||"";this.id=e.id||"";this.name=e.name||"";this.runAt=getStringOption(e.runAt,["cli\ +ent","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class SetProperty extends XFAObject{constructor(e){super(Go,"setProperty");this.connection=e.connection||"";this.ref=e.ref||"";this.target=e.target||""}}class SignData extends XFAObject{constructor(e){super(Go,"signData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["sign","clear","verify"]);this.ref=e.ref||"";this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manife\ +st=null}}class Signature extends XFAObject{constructor(e){super(Go,"signature",!0);this.id=e.id||"";this.type=getStringOption(e.type,["PDF1.3","PDF1.6"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.filter=null;this.manifest=null;this.margin=null}}class Signing extends XFAObject{constructor(e){super(Go,"signing",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new \ +XFAObjectArray}}class Solid extends XFAObject{constructor(e){super(Go,"solid",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](e){return e?e[ho]():"#FFFFFF"}}class Speak extends StringObject{constructor(e){super(Go,"speak");this.disable=getInteger({data:e.disable,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.priority=getStringOption(e.priority,["custom","caption","name","toolTip"]);this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""\ +}}class Stipple extends XFAObject{constructor(e){super(Go,"stipple",!0);this.id=e.id||"";this.rate=getInteger({data:e.rate,defaultValue:50,validate:e=>e>=0&&e<=100});this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){const t=this.rate/100;return Util.makeHexColor(Math.round(e.value.r*(1-t)+this.value.r*t),Math.round(e.value.g*(1-t)+this.value.g*t),Math.round(e.value.b*(1-t)+this.value.b*t))}}class Subform extends XFAObject{constructor(e){super(Go,"subform",!0)\ +;this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.allowMacro=getInteger({data:e.allowMacro,defaultValue:0,validate:e=>1===e});this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.columnWidths=(e.columnWidths||"").trim().split(/\\s+/).map((e=>"-1"===e?-1:getMe\ +asurement(e)));this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.mergeMode=getStringOption(e.mergeMode,["consumeData","matchTemplate"]);this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e\ +.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.restoreState=getStringOption(e.restoreState,["manual","auto"]);this.scope=getStringOption(e.scope,["name","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.bookend=null;this.border=null;this.brea\ +k=null;this.calculate=null;this.desc=null;this.extras=null;this.keep=null;this.margin=null;this.occur=null;this.overflow=null;this.pageSet=null;this.para=null;this.traversal=null;this.validate=null;this.variables=null;this.area=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.connect=new XFAObjectArray;this.draw=new XFAObjectArray;this.event=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObject\ +Array;this.proto=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}[Cs](){const e=this[vs]();return e instanceof SubformSet?e[Cs]():e}[Rs](){return!0}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]()[_s]()}*[As](){yield*getContainedChildren(this)}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[gs](){return getAvailableSpace(this)}[js](){const e=this[Cs]();if(!e[js\ +]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(this.keep&&"none"!==this.keep.intact){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[co](e){setTabIndex(this);if(this.break){if("auto"!==this.break.after||""!==this.break.afterTarget){const e=new BreakAfter({targetType:this.break.after,targ\ +et:this.break.afterTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakAfter.push(e)}if("auto"!==this.break.before||""!==this.break.beforeTarget){const e=new BreakBefore({targetType:this.break.before,target:this.break.beforeTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakBefore.push(e)}if(""!==this.break.overflowTarget){const e=new Overflow({target:this.break.overflowTarget,leader:this.break.overflowLeader,trailer:this.break\ +.overflowTrailer});e[Is]=this[Is];this[Qn](e);this.overflow.push(e)}this[Zs](this.break);this.break=null}if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;(this.breakBefore.children.length>1||this.breakAfter.children.length>1)&&warn("XFA - Several breakBefore or breakAfter in subforms: please file a bug.");if(this.breakBefore.children.length>=1){const e=this.breakBefore.children[0];if(handleBreak(e))return HTMLResult.breakNode(e)}if(this[ls]?.afterBreakAfter)return \ +HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,line:null,attributes:a,attempt:0,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[Fs](),i=r[ls].noLayoutFailure,n=this[js]();n||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const s=new\ + Set(["area","draw","exclGroup","field","subform","subformSet"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const o=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),c=["xfaSubform"],l=layoutClass(this);l&&c.push(l);a.style=o;a.class=c;this.name&&(a.xfaName=this.name);if(this.overflow){const t=this.overflow[ws]();if(t.addLeader){t.addLeader=!1;handleOverf\ +low(this,t.leader,e)}}this[Ys]();const h="lr-tb"===this.layout||"rl-tb"===this.layout,u=h?2:1;for(;this[ls].attempt=1){const e=this.breakAfter.children[0];if(handleBreak(e)){this[ls].afterBreakAfter=y;return HTMLResult.breakNode(e)}}delete this[ls];return y}}class SubformSet extends XFAObject{constructor(e){super(Go,"subformSet",!0);this.id=e.id||"";this.name=e.name||"";t\ +his.relation=getStringOption(e.relation,["ordered","choice","unordered"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.bookend=null;this.break=null;this.desc=null;this.extras=null;this.occur=null;this.overflow=null;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Cs](){let e=this[vs]();for(;!(e instanceof Subform);)e=e[vs](\ +);return e}[Rs](){return!0}}class SubjectDN extends ContentObject{constructor(e){super(Go,"subjectDN");this.delimiter=e.delimiter||",";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=new Map(this[ss].split(this.delimiter).map((e=>{(e=e.split("=",2))[0]=e[0].trim();return e})))}}class SubjectDNs extends XFAObject{constructor(e){super(Go,"subjectDNs",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||""\ +;this.usehref=e.usehref||"";this.subjectDN=new XFAObjectArray}}class Submit extends XFAObject{constructor(e){super(Go,"submit",!0);this.embedPDF=getInteger({data:e.embedPDF,defaultValue:0,validate:e=>1===e});this.format=getStringOption(e.format,["xdp","formdata","pdf","urlencoded","xfd","xml"]);this.id=e.id||"";this.target=e.target||"";this.textEncoding=getKeyword({data:e.textEncoding?e.textEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030",\ +"gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.use=e.use||"";this.usehref=e.usehref||"";this.xdpContent=e.xdpContent||"";this.encrypt=null;this.encryptData=new XFAObjectArray;this.signData=new XFAObjectArray}}class Template extends XFAObject{constructor(e){super(Go,"template",!0);this.baseProfile=getStringOption(e.baseProfile,["full","interactiveForms"]);this.extras=null;this.subform=new XFAObjectArray}[hs](){0===this.subform.children.leng\ +th&&warn("XFA - No subforms in template node.");this.subform.children.length>=2&&warn("XFA - Several subforms in template node: please file a bug.");this[no]=5e3}[js](){return!0}[to](e,t){return e.startsWith("#")?[this[Os].get(e.slice(1))]:searchNode(this,t,e,!0,!0)}*[oo](){if(!this.subform.children.length)return HTMLResult.success({name:"div",children:[]});this[ls]={overflowNode:null,firstUnsplittable:null,currentContentArea:null,currentPageArea:null,noLayoutFailure:!1,pageNumber:1,pagePosition\ +:"first",oddOrEven:"odd",blankOrNotBlank:"nonBlank",paraStack:[]};const e=this.subform.children[0];e.pageSet[as]();const t=e.pageSet.pageArea.children,a={name:"div",children:[]};let r=null,i=null,n=null;if(e.breakBefore.children.length>=1){i=e.breakBefore.children[0];n=i.target}else if(e.subform.children.length>=1&&e.subform.children[0].breakBefore.children.length>=1){i=e.subform.children[0].breakBefore.children[0];n=i.target}else if(e.break?.beforeTarget){i=e.break;n=i.beforeTarget}else if(e.su\ +bform.children.length>=1&&e.subform.children[0].break?.beforeTarget){i=e.subform.children[0].break;n=i.beforeTarget}if(i){const e=this[to](n,i[vs]());if(e instanceof PageArea){r=e;i[ls]={}}}r||=t[0];r[ls]={numberOfUse:1};const s=r[vs]();s[ls]={numberOfUse:1,pageIndex:s.pageArea.children.indexOf(r),pageSetIndex:0};let o,c=null,l=null,h=!0,u=0,d=0;for(;;){if(h)u=0;else{a.children.pop();if(3==++u){warn("XFA - Something goes wrong: please file a bug.");return a}}o=null;this[ls].currentPageArea=r;con\ +st t=r[co]().html;a.children.push(t);if(c){this[ls].noLayoutFailure=!0;t.children.push(c[co](r[ls].space).html);c=null}if(l){this[ls].noLayoutFailure=!0;t.children.push(l[co](r[ls].space).html);l=null}const i=r.contentArea.children,n=t.children.filter((e=>e.attributes.class.includes("xfaContentarea")));h=!1;this[ls].firstUnsplittable=null;this[ls].noLayoutFailure=!1;const flush=t=>{const a=e[us]();if(a){h||=a.children?.length>0;n[t].children.push(a)}};for(let t=d,r=i.length;t0;n[t].children.push(u.html)}else!h&&a.children.length>1&&a.children.pop();return a}if(u.isBreak()){const e=u.breakNode;flush(t);if("auto"===e.targetType)continue;if(e.leader){c=this[to](e.leader,e[vs]());c=c?c[0]:null}if(e.trailer){l=this[to](e.trailer,e[vs]());l=l?l[0]:null}i\ +f("pageArea"===e.targetType){o=e[ls].target;t=1/0}else if(e[ls].target){o=e[ls].target;d=e[ls].index+1;t=1/0}else t=e[ls].index}else if(this[ls].overflowNode){const e=this[ls].overflowNode;this[ls].overflowNode=null;const a=e[ws](),r=a.target;a.addLeader=null!==a.leader;a.addTrailer=null!==a.trailer;flush(t);const n=t;t=1/0;if(r instanceof PageArea)o=r;else if(r instanceof ContentArea){const e=i.indexOf(r);if(-1!==e)e>n?t=e-1:d=e;else{o=r[vs]();d=o.contentArea.children.indexOf(r)}}}else flush(t)\ +}this[ls].pageNumber+=1;o&&(o[Xs]()?o[ls].numberOfUse+=1:o=null);r=o||r[ks]();yield null}}}class Text extends ContentObject{constructor(e){super(Go,"text");this.id=e.id||"";this.maxChars=getInteger({data:e.maxChars,defaultValue:0,validate:e=>e>=0});this.name=e.name||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}[Yn](){return!0}[$s](e){if(e[Hs]===go.xhtml.id){this[ss]=e;return!0}warn(`XFA - Invalid content in Text: ${e[Ws]}.`);return!1}[Vs](e){this[ss]instanceof XFAObject||s\ +uper[Vs](e)}[hs](){"string"==typeof this[ss]&&(this[ss]=this[ss].replaceAll("\\r\\n","\\n"))}[ws](){return"string"==typeof this[ss]?this[ss].split(/[\\u2029\\u2028\\n]/).filter((e=>!!e)).join("\\n"):this[ss][so]()}[co](e){if("string"==typeof this[ss]){const e=valueToHtml(this[ss]).html;if(this[ss].includes("\\u2029")){e.name="div";e.children=[];this[ss].split("\\u2029").map((e=>e.split(/[\\u2028\\n]/).flatMap((e=>[{name:"span",value:e},{name:"br"}])))).forEach((t=>{e.children.push({name:"p",children:t})}))\ +}else if(/[\\u2028\\n]/.test(this[ss])){e.name="div";e.children=[];this[ss].split(/[\\u2028\\n]/).forEach((t=>{e.children.push({name:"span",value:t},{name:"br"})}))}return HTMLResult.success(e)}return this[ss][co](e)}}class TextEdit extends XFAObject{constructor(e){super(Go,"textEdit",!0);this.allowRichText=getInteger({data:e.allowRichText,defaultValue:0,validate:e=>1===e});this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.multiLine=getInteger({data:e.mult\ +iLine,defaultValue:"",validate:e=>0===e||1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.vScrollPolicy=getStringOption(e.vScrollPolicy,["auto","off","on"]);this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin");let a;const r=this[vs]()[vs]();""===this.multiLine&&(this.multiLine=r instanceof Draw?1:0);a=1===this.multiLine?{name:"textarea",attributes:{dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,\ +"aria-label":ariaLabel(r),"aria-required":!1}}:{name:"input",attributes:{type:"text",dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}};if(isRequired(r)){a.attributes["aria-required"]=!0;a.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[a]})}}class Time extends StringObject{constructor(e){super(Go,"time");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref\ +=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class TimeStamp extends XFAObject{constructor(e){super(Go,"timeStamp");this.id=e.id||"";this.server=e.server||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class ToolTip extends StringObject{constructor(e){super(Go,"toolTip");this.id=e.id||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref\ +||""}}class Traversal extends XFAObject{constructor(e){super(Go,"traversal",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.traverse=new XFAObjectArray}}class Traverse extends XFAObject{constructor(e){super(Go,"traverse",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["next","back","down","first","left","right","up"]);this.ref=e.ref||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.script=null}get name(){return this.\ +operation}[Us](){return!1}}class Ui extends XFAObject{constructor(e){super(Go,"ui",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null;this.barcode=null;this.button=null;this.checkButton=null;this.choiceList=null;this.dateTimeEdit=null;this.defaultUi=null;this.imageEdit=null;this.numericEdit=null;this.passwordEdit=null;this.signature=null;this.textEdit=null}[ws](){if(void 0===this[ls]){for(const e of Object.getOwnPropertyNames(this)){if("extras"=\ +==e||"picture"===e)continue;const t=this[e];if(t instanceof XFAObject){this[ls]=t;return t}}this[ls]=null}return this[ls]}[co](e){const t=this[ws]();return t?t[co](e):HTMLResult.EMPTY}}class Validate extends XFAObject{constructor(e){super(Go,"validate",!0);this.formatTest=getStringOption(e.formatTest,["warning","disabled","error"]);this.id=e.id||"";this.nullTest=getStringOption(e.nullTest,["disabled","error","warning"]);this.scriptTest=getStringOption(e.scriptTest,["error","disabled","warning"])\ +;this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.picture=null;this.script=null}}class Value extends XFAObject{constructor(e){super(Go,"value",!0);this.id=e.id||"";this.override=getInteger({data:e.override,defaultValue:0,validate:e=>1===e});this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.arc=null;this.boolean=null;this.date=null;this.dateTime=null;this.decimal=null;this.exData=null;this.float=null;this.image=null;this.\ +integer=null;this.line=null;this.rectangle=null;this.text=null;this.time=null}[io](e){const t=this[vs]();if(t instanceof Field&&t.ui?.imageEdit){if(!this.image){this.image=new Image({});this[Qn](this.image)}this.image[ss]=e[ss];return}const a=e[Ws];if(null===this[a]){for(const e of Object.getOwnPropertyNames(this)){const t=this[e];if(t instanceof XFAObject){this[e]=null;this[Zs](t)}}this[e[Ws]]=e;this[Qn](e)}else this[a][ss]=e[ss]}[so](){if(this.exData)return"string"==typeof this.exData[ss]?this\ +.exData[ss].trim():this.exData[ss][so]().trim();for(const e of Object.getOwnPropertyNames(this)){if("image"===e)continue;const t=this[e];if(t instanceof XFAObject)return(t[ss]||"").toString().trim()}return null}[co](e){for(const t of Object.getOwnPropertyNames(this)){const a=this[t];if(a instanceof XFAObject)return a[co](e)}return HTMLResult.EMPTY}}class Variables extends XFAObject{constructor(e){super(Go,"variables",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean\ +=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.manifest=new XFAObjectArray;this.script=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[Us](){return!0}}class TemplateNamespace{static[fo](e,t){if(TemplateNamespace.hasOwnProperty(e)){const a=TemplateNamespace[e](t);a[ro](t);ret\ +urn a}}static appearanceFilter(e){return new AppearanceFilter(e)}static arc(e){return new Arc(e)}static area(e){return new Area(e)}static assist(e){return new Assist(e)}static barcode(e){return new Barcode(e)}static bind(e){return new Bind(e)}static bindItems(e){return new BindItems(e)}static bookend(e){return new Bookend(e)}static boolean(e){return new BooleanElement(e)}static border(e){return new Border(e)}static break(e){return new Break(e)}static breakAfter(e){return new BreakAfter(e)}static\ + breakBefore(e){return new BreakBefore(e)}static button(e){return new Button(e)}static calculate(e){return new Calculate(e)}static caption(e){return new Caption(e)}static certificate(e){return new Certificate(e)}static certificates(e){return new Certificates(e)}static checkButton(e){return new CheckButton(e)}static choiceList(e){return new ChoiceList(e)}static color(e){return new Color(e)}static comb(e){return new Comb(e)}static connect(e){return new Connect(e)}static contentArea(e){return new C\ +ontentArea(e)}static corner(e){return new Corner(e)}static date(e){return new DateElement(e)}static dateTime(e){return new DateTime(e)}static dateTimeEdit(e){return new DateTimeEdit(e)}static decimal(e){return new Decimal(e)}static defaultUi(e){return new DefaultUi(e)}static desc(e){return new Desc(e)}static digestMethod(e){return new DigestMethod(e)}static digestMethods(e){return new DigestMethods(e)}static draw(e){return new Draw(e)}static edge(e){return new Edge(e)}static encoding(e){return n\ +ew Encoding(e)}static encodings(e){return new Encodings(e)}static encrypt(e){return new Encrypt(e)}static encryptData(e){return new EncryptData(e)}static encryption(e){return new Encryption(e)}static encryptionMethod(e){return new EncryptionMethod(e)}static encryptionMethods(e){return new EncryptionMethods(e)}static event(e){return new Event(e)}static exData(e){return new ExData(e)}static exObject(e){return new ExObject(e)}static exclGroup(e){return new ExclGroup(e)}static execute(e){return new \ +Execute(e)}static extras(e){return new Extras(e)}static field(e){return new Field(e)}static fill(e){return new Fill(e)}static filter(e){return new Filter(e)}static float(e){return new Float(e)}static font(e){return new template_Font(e)}static format(e){return new Format(e)}static handler(e){return new Handler(e)}static hyphenation(e){return new Hyphenation(e)}static image(e){return new Image(e)}static imageEdit(e){return new ImageEdit(e)}static integer(e){return new Integer(e)}static issuers(e){\ +return new Issuers(e)}static items(e){return new Items(e)}static keep(e){return new Keep(e)}static keyUsage(e){return new KeyUsage(e)}static line(e){return new Line(e)}static linear(e){return new Linear(e)}static lockDocument(e){return new LockDocument(e)}static manifest(e){return new Manifest(e)}static margin(e){return new Margin(e)}static mdp(e){return new Mdp(e)}static medium(e){return new Medium(e)}static message(e){return new Message(e)}static numericEdit(e){return new NumericEdit(e)}static\ + occur(e){return new Occur(e)}static oid(e){return new Oid(e)}static oids(e){return new Oids(e)}static overflow(e){return new Overflow(e)}static pageArea(e){return new PageArea(e)}static pageSet(e){return new PageSet(e)}static para(e){return new Para(e)}static passwordEdit(e){return new PasswordEdit(e)}static pattern(e){return new template_Pattern(e)}static picture(e){return new Picture(e)}static proto(e){return new Proto(e)}static radial(e){return new Radial(e)}static reason(e){return new Reaso\ +n(e)}static reasons(e){return new Reasons(e)}static rectangle(e){return new Rectangle(e)}static ref(e){return new RefElement(e)}static script(e){return new Script(e)}static setProperty(e){return new SetProperty(e)}static signData(e){return new SignData(e)}static signature(e){return new Signature(e)}static signing(e){return new Signing(e)}static solid(e){return new Solid(e)}static speak(e){return new Speak(e)}static stipple(e){return new Stipple(e)}static subform(e){return new Subform(e)}static s\ +ubformSet(e){return new SubformSet(e)}static subjectDN(e){return new SubjectDN(e)}static subjectDNs(e){return new SubjectDNs(e)}static submit(e){return new Submit(e)}static template(e){return new Template(e)}static text(e){return new Text(e)}static textEdit(e){return new TextEdit(e)}static time(e){return new Time(e)}static timeStamp(e){return new TimeStamp(e)}static toolTip(e){return new ToolTip(e)}static traversal(e){return new Traversal(e)}static traverse(e){return new Traverse(e)}static ui(e)\ +{return new Ui(e)}static validate(e){return new Validate(e)}static value(e){return new Value(e)}static variables(e){return new Variables(e)}}const Zo=go.datasets.id;function createText(e){const t=new Text({});t[ss]=e;return t}class Binder{constructor(e){this.root=e;this.datasets=e.datasets;this.data=e.datasets?.data||new XmlObject(go.datasets.id,"data");this.emptyMerge=0===this.data[Ss]().length;this.root.form=this.form=e.template[is]()}_isConsumeData(){return!this.emptyMerge&&this._mergeMode}_i\ +sMatchTemplate(){return!this._isConsumeData()}bind(){this._bindElement(this.form,this.data);return this.form}getData(){return this.data}_bindValue(e,t,a){e[os]=t;if(e[Ts]())if(t[Ns]()){const a=t[ys]();e[io](createText(a))}else if(e instanceof Field&&"multiSelect"===e.ui?.choiceList?.open){const a=t[Ss]().map((e=>e[ss].trim())).join("\\n");e[io](createText(a))}else this._isConsumeData()&&warn("XFA - Nodes haven\'t the same type.");else!t[Ns]()||this._isMatchTemplate()?this._bindElement(e,t):warn("X\ +FA - Nodes haven\'t the same type.")}_findDataByNameToConsume(e,t,a,r){if(!e)return null;let i,n;for(let r=0;r<3;r++){i=a[xs](e,!1,!0);for(;;){n=i.next().value;if(!n)break;if(t===n[Ns]())return n}if(a[Hs]===go.datasets.id&&"data"===a[Ws])break;a=a[vs]()}if(!r)return null;i=this.data[xs](e,!0,!1);n=i.next().value;if(n)return n;i=this.data[ds](e,!0);n=i.next().value;return n?.[Ns]()?n:null}_setProperties(e,t){if(e.hasOwnProperty("setProperty"))for(const{ref:a,target:r,connection:i}of e.setProperty.\ +children){if(i)continue;if(!a)continue;const n=searchNode(this.root,t,a,!1,!1);if(!n){warn(`XFA - Invalid reference: ${a}.`);continue}const[s]=n;if(!s[Es](this.data)){warn("XFA - Invalid node: must be a data node.");continue}const o=searchNode(this.root,e,r,!1,!1);if(!o){warn(`XFA - Invalid target: ${r}.`);continue}const[c]=o;if(!c[Es](e)){warn("XFA - Invalid target: must be a property or subproperty.");continue}const l=c[vs]();if(c instanceof SetProperty||l instanceof SetProperty){warn("XFA - I\ +nvalid target: cannot be a setProperty or one of its properties.");continue}if(c instanceof BindItems||l instanceof BindItems){warn("XFA - Invalid target: cannot be a bindItems or one of its properties.");continue}const h=s[so](),u=c[Ws];if(c instanceof XFAAttribute){const e=Object.create(null);e[u]=h;const t=Reflect.construct(Object.getPrototypeOf(l).constructor,[e]);l[u]=t[u]}else if(c.hasOwnProperty(ss)){c[os]=s;c[ss]=h;c[hs]()}else warn("XFA - Invalid node to use in setProperty")}}_bindItems\ +(e,t){if(!e.hasOwnProperty("items")||!e.hasOwnProperty("bindItems")||e.bindItems.isEmpty())return;for(const t of e.items.children)e[Zs](t);e.items.clear();const a=new Items({}),r=new Items({});e[Qn](a);e.items.push(a);e[Qn](r);e.items.push(r);for(const{ref:i,labelRef:n,valueRef:s,connection:o}of e.bindItems.children){if(o)continue;if(!i)continue;const e=searchNode(this.root,t,i,!1,!1);if(e)for(const t of e){if(!t[Es](this.datasets)){warn(`XFA - Invalid ref (${i}): must be a datasets child.`);con\ +tinue}const e=searchNode(this.root,t,n,!0,!1);if(!e){warn(`XFA - Invalid label: ${n}.`);continue}const[o]=e;if(!o[Es](this.datasets)){warn("XFA - Invalid label: must be a datasets child.");continue}const c=searchNode(this.root,t,s,!0,!1);if(!c){warn(`XFA - Invalid value: ${s}.`);continue}const[l]=c;if(!l[Es](this.datasets)){warn("XFA - Invalid value: must be a datasets child.");continue}const h=createText(o[so]()),u=createText(l[so]());a[Qn](h);a.text.push(h);r[Qn](u);r.text.push(u)}else warn(`X\ +FA - Invalid reference: ${i}.`)}}_bindOccurrences(e,t,a){let r;if(t.length>1){r=e[is]();r[Zs](r.occur);r.occur=null}this._bindValue(e,t[0],a);this._setProperties(e,t[0]);this._bindItems(e,t[0]);if(1===t.length)return;const i=e[vs](),n=e[Ws],s=i[Ms](e);for(let e=1,o=t.length;et.name===e.name)).length:a[r].children.length;const n=a[Ms](e)+1,s=t.initial-i;if(s){const t=e[is]();t[Zs](t.occur);t.occur=null;a[r].push(t);a[Ds](n,t);for(let e=1;e0)this._bindOccurrences(r,[e[0]],null);else if(this.emptyMerge){const e=t[Hs]===Zo?-1:t[Hs],a=r[os]=new XmlObject(e,r.name||"root");t[Qn](a);this._bindElement(r,a)}continue}if(!r[Rs]())continue;let e=!1,i=null,n=null,s=null;if(r.bind){switch(r.bind.match){case"none":\ +this._setAndBind(r,t);continue;case"global":e=!0;break;case"dataRef":if(!r.bind.ref){warn(`XFA - ref is empty in node ${r[Ws]}.`);this._setAndBind(r,t);continue}n=r.bind.ref}r.bind.picture&&(i=r.bind.picture[ss])}const[o,c]=this._getOccurInfo(r);if(n){s=searchNode(this.root,t,n,!0,!1);if(null===s){s=createDataNode(this.data,t,n);if(!s)continue;this._isConsumeData()&&(s[ns]=!0);this._setAndBind(r,s);continue}this._isConsumeData()&&(s=s.filter((e=>!e[ns])));s.length>c?s=s.slice(0,c):0===s.length&&\ +(s=null);s&&this._isConsumeData()&&s.forEach((e=>{e[ns]=!0}))}else{if(!r.name){this._setAndBind(r,t);continue}if(this._isConsumeData()){const a=[];for(;a.length0?a:null}else{s=t[xs](r.name,!1,this.emptyMerge).next().value;if(!s){if(0===o){a.push(r);continue}const e=t[Hs]===Zo?-1:t[Hs];s=r[os]=new XmlObject(e,r.name);this.emptyMerge&&(s[ns]=!0);t[Qn](s);this._setAndBind(r,s);continue}this.empt\ +yMerge&&(s[ns]=!0);s=[s]}}s?this._bindOccurrences(r,s,i):o>0?this._setAndBind(r,t):a.push(r)}a.forEach((e=>e[vs]()[Zs](e)))}}class DataHandler{constructor(e,t){this.data=t;this.dataset=e.datasets||null}serialize(e){const t=[[-1,this.data[Ss]()]];for(;t.length>0;){const a=t.at(-1),[r,i]=a;if(r+1===i.length){t.pop();continue}const n=i[++a[0]],s=e.get(n[uo]);if(s)n[io](s);else{const t=n[fs]();for(const a of t.values()){const t=e.get(a[uo]);if(t){a[io](t);break}}}const o=n[Ss]();o.length>0&&t.push([\ +-1,o])}const a=[\'\'];if(this.dataset)for(const e of this.dataset[Ss]())"data"!==e[Ws]&&e[lo](a);this.data[lo](a);a.push("");return a.join("")}}const Qo=go.config.id;class Acrobat extends XFAObject{constructor(e){super(Qo,"acrobat",!0);this.acrobat7=null;this.autoSave=null;this.common=null;this.validate=null;this.validateApprovalSignatures=null;this.submitUrl=new XFAObjectArray}}class Acrobat7 extends XFAObject{constr\ +uctor(e){super(Qo,"acrobat7",!0);this.dynamicRender=null}}class ADBE_JSConsole extends OptionObject{constructor(e){super(Qo,"ADBE_JSConsole",["delegate","Enable","Disable"])}}class ADBE_JSDebugger extends OptionObject{constructor(e){super(Qo,"ADBE_JSDebugger",["delegate","Enable","Disable"])}}class AddSilentPrint extends Option01{constructor(e){super(Qo,"addSilentPrint")}}class AddViewerPreferences extends Option01{constructor(e){super(Qo,"addViewerPreferences")}}class AdjustData extends Option1\ +0{constructor(e){super(Qo,"adjustData")}}class AdobeExtensionLevel extends IntegerObject{constructor(e){super(Qo,"adobeExtensionLevel",0,(e=>e>=1&&e<=8))}}class Agent extends XFAObject{constructor(e){super(Qo,"agent",!0);this.name=e.name?e.name.trim():"";this.common=new XFAObjectArray}}class AlwaysEmbed extends ContentObject{constructor(e){super(Qo,"alwaysEmbed")}}class Amd extends StringObject{constructor(e){super(Qo,"amd")}}class config_Area extends XFAObject{constructor(e){super(Qo,"area");th\ +is.level=getInteger({data:e.level,defaultValue:0,validate:e=>e>=1&&e<=3});this.name=getStringOption(e.name,["","barcode","coreinit","deviceDriver","font","general","layout","merge","script","signature","sourceSet","templateCache"])}}class Attributes extends OptionObject{constructor(e){super(Qo,"attributes",["preserve","delegate","ignore"])}}class AutoSave extends OptionObject{constructor(e){super(Qo,"autoSave",["disabled","enabled"])}}class Base extends StringObject{constructor(e){super(Qo,"base\ +")}}class BatchOutput extends XFAObject{constructor(e){super(Qo,"batchOutput");this.format=getStringOption(e.format,["none","concat","zip","zipCompress"])}}class BehaviorOverride extends ContentObject{constructor(e){super(Qo,"behaviorOverride")}[hs](){this[ss]=new Map(this[ss].trim().split(/\\s+/).filter((e=>e.includes(":"))).map((e=>e.split(":",2))))}}class Cache extends XFAObject{constructor(e){super(Qo,"cache",!0);this.templateCache=null}}class Change extends Option01{constructor(e){super(Qo,"\ +change")}}class Common extends XFAObject{constructor(e){super(Qo,"common",!0);this.data=null;this.locale=null;this.localeSet=null;this.messaging=null;this.suppressBanner=null;this.template=null;this.validationMessaging=null;this.versionControl=null;this.log=new XFAObjectArray}}class Compress extends XFAObject{constructor(e){super(Qo,"compress");this.scope=getStringOption(e.scope,["imageOnly","document"])}}class CompressLogicalStructure extends Option01{constructor(e){super(Qo,"compressLogicalStr\ +ucture")}}class CompressObjectStream extends Option10{constructor(e){super(Qo,"compressObjectStream")}}class Compression extends XFAObject{constructor(e){super(Qo,"compression",!0);this.compressLogicalStructure=null;this.compressObjectStream=null;this.level=null;this.type=null}}class Config extends XFAObject{constructor(e){super(Qo,"config",!0);this.acrobat=null;this.present=null;this.trace=null;this.agent=new XFAObjectArray}}class Conformance extends OptionObject{constructor(e){super(Qo,"confor\ +mance",["A","B"])}}class ContentCopy extends Option01{constructor(e){super(Qo,"contentCopy")}}class Copies extends IntegerObject{constructor(e){super(Qo,"copies",1,(e=>e>=1))}}class Creator extends StringObject{constructor(e){super(Qo,"creator")}}class CurrentPage extends IntegerObject{constructor(e){super(Qo,"currentPage",0,(e=>e>=0))}}class Data extends XFAObject{constructor(e){super(Qo,"data",!0);this.adjustData=null;this.attributes=null;this.incrementalLoad=null;this.outputXSL=null;this.rang\ +e=null;this.record=null;this.startNode=null;this.uri=null;this.window=null;this.xsl=null;this.excludeNS=new XFAObjectArray;this.transform=new XFAObjectArray}}class Debug extends XFAObject{constructor(e){super(Qo,"debug",!0);this.uri=null}}class DefaultTypeface extends ContentObject{constructor(e){super(Qo,"defaultTypeface");this.writingScript=getStringOption(e.writingScript,["*","Arabic","Cyrillic","EastEuropeanRoman","Greek","Hebrew","Japanese","Korean","Roman","SimplifiedChinese","Thai","Tradi\ +tionalChinese","Vietnamese"])}}class Destination extends OptionObject{constructor(e){super(Qo,"destination",["pdf","pcl","ps","webClient","zpl"])}}class DocumentAssembly extends Option01{constructor(e){super(Qo,"documentAssembly")}}class Driver extends XFAObject{constructor(e){super(Qo,"driver",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class DuplexOption extends OptionObject{constructor(e){super(Qo,"duplexOption",["simplex","duplexFlipLongEdge","duplexFlipShortEdge"\ +])}}class DynamicRender extends OptionObject{constructor(e){super(Qo,"dynamicRender",["forbidden","required"])}}class Embed extends Option01{constructor(e){super(Qo,"embed")}}class config_Encrypt extends Option01{constructor(e){super(Qo,"encrypt")}}class config_Encryption extends XFAObject{constructor(e){super(Qo,"encryption",!0);this.encrypt=null;this.encryptionLevel=null;this.permissions=null}}class EncryptionLevel extends OptionObject{constructor(e){super(Qo,"encryptionLevel",["40bit","128bit\ +"])}}class Enforce extends StringObject{constructor(e){super(Qo,"enforce")}}class Equate extends XFAObject{constructor(e){super(Qo,"equate");this.force=getInteger({data:e.force,defaultValue:1,validate:e=>0===e});this.from=e.from||"";this.to=e.to||""}}class EquateRange extends XFAObject{constructor(e){super(Qo,"equateRange");this.from=e.from||"";this.to=e.to||"";this._unicodeRange=e.unicodeRange||""}get unicodeRange(){const e=[],t=/U\\+([0-9a-fA-F]+)/,a=this._unicodeRange;for(let r of a.split(",")\ +.map((e=>e.trim())).filter((e=>!!e))){r=r.split("-",2).map((e=>{const a=e.match(t);return a?parseInt(a[1],16):0}));1===r.length&&r.push(r[0]);e.push(r)}return shadow(this,"unicodeRange",e)}}class Exclude extends ContentObject{constructor(e){super(Qo,"exclude")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>e&&["calculate","close","enter","exit","initialize","ready","validate"].includes(e)))}}class ExcludeNS extends StringObject{constructor(e){super(Qo,"excludeNS")}}class FlipLabel exten\ +ds OptionObject{constructor(e){super(Qo,"flipLabel",["usePrinterSetting","on","off"])}}class config_FontInfo extends XFAObject{constructor(e){super(Qo,"fontInfo",!0);this.embed=null;this.map=null;this.subsetBelow=null;this.alwaysEmbed=new XFAObjectArray;this.defaultTypeface=new XFAObjectArray;this.neverEmbed=new XFAObjectArray}}class FormFieldFilling extends Option01{constructor(e){super(Qo,"formFieldFilling")}}class GroupParent extends StringObject{constructor(e){super(Qo,"groupParent")}}class \ +IfEmpty extends OptionObject{constructor(e){super(Qo,"ifEmpty",["dataValue","dataGroup","ignore","remove"])}}class IncludeXDPContent extends StringObject{constructor(e){super(Qo,"includeXDPContent")}}class IncrementalLoad extends OptionObject{constructor(e){super(Qo,"incrementalLoad",["none","forwardOnly"])}}class IncrementalMerge extends Option01{constructor(e){super(Qo,"incrementalMerge")}}class Interactive extends Option01{constructor(e){super(Qo,"interactive")}}class Jog extends OptionObject\ +{constructor(e){super(Qo,"jog",["usePrinterSetting","none","pageSet"])}}class LabelPrinter extends XFAObject{constructor(e){super(Qo,"labelPrinter",!0);this.name=getStringOption(e.name,["zpl","dpl","ipl","tcpl"]);this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class Layout extends OptionObject{constructor(e){super(Qo,"layout",["paginate","panel"])}}class Level extends IntegerObject{constructor(e){super(Qo,"level",0,(e=>e>0))}}class Linearized extends Option01{construc\ +tor(e){super(Qo,"linearized")}}class Locale extends StringObject{constructor(e){super(Qo,"locale")}}class LocaleSet extends StringObject{constructor(e){super(Qo,"localeSet")}}class Log extends XFAObject{constructor(e){super(Qo,"log",!0);this.mode=null;this.threshold=null;this.to=null;this.uri=null}}class MapElement extends XFAObject{constructor(e){super(Qo,"map",!0);this.equate=new XFAObjectArray;this.equateRange=new XFAObjectArray}}class MediumInfo extends XFAObject{constructor(e){super(Qo,"med\ +iumInfo",!0);this.map=null}}class config_Message extends XFAObject{constructor(e){super(Qo,"message",!0);this.msgId=null;this.severity=null}}class Messaging extends XFAObject{constructor(e){super(Qo,"messaging",!0);this.message=new XFAObjectArray}}class Mode extends OptionObject{constructor(e){super(Qo,"mode",["append","overwrite"])}}class ModifyAnnots extends Option01{constructor(e){super(Qo,"modifyAnnots")}}class MsgId extends IntegerObject{constructor(e){super(Qo,"msgId",1,(e=>e>=1))}}class N\ +ameAttr extends StringObject{constructor(e){super(Qo,"nameAttr")}}class NeverEmbed extends ContentObject{constructor(e){super(Qo,"neverEmbed")}}class NumberOfCopies extends IntegerObject{constructor(e){super(Qo,"numberOfCopies",null,(e=>e>=2&&e<=5))}}class OpenAction extends XFAObject{constructor(e){super(Qo,"openAction",!0);this.destination=null}}class Output extends XFAObject{constructor(e){super(Qo,"output",!0);this.to=null;this.type=null;this.uri=null}}class OutputBin extends StringObject{co\ +nstructor(e){super(Qo,"outputBin")}}class OutputXSL extends XFAObject{constructor(e){super(Qo,"outputXSL",!0);this.uri=null}}class Overprint extends OptionObject{constructor(e){super(Qo,"overprint",["none","both","draw","field"])}}class Packets extends StringObject{constructor(e){super(Qo,"packets")}[hs](){"*"!==this[ss]&&(this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["config","datasets","template","xfdf","xslt"].includes(e))))}}class PageOffset extends XFAObject{constructor(e){super(Qo,"pag\ +eOffset");this.x=getInteger({data:e.x,defaultValue:"useXDCSetting",validate:e=>!0});this.y=getInteger({data:e.y,defaultValue:"useXDCSetting",validate:e=>!0})}}class PageRange extends StringObject{constructor(e){super(Qo,"pageRange")}[hs](){const e=this[ss].trim().split(/\\s+/).map((e=>parseInt(e,10))),t=[];for(let a=0,r=e.length;a!1))}}class Pcl extends XFAObject{constructor(e){super(Qo,"pcl",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.pageOffset=null;this.staple=null;this.xdc=null}}class Pdf extends \ +XFAObject{constructor(e){super(Qo,"pdf",!0);this.name=e.name||"";this.adobeExtensionLevel=null;this.batchOutput=null;this.compression=null;this.creator=null;this.encryption=null;this.fontInfo=null;this.interactive=null;this.linearized=null;this.openAction=null;this.pdfa=null;this.producer=null;this.renderPolicy=null;this.scriptModel=null;this.silentPrint=null;this.submitFormat=null;this.tagged=null;this.version=null;this.viewerPreferences=null;this.xdc=null}}class Pdfa extends XFAObject{construc\ +tor(e){super(Qo,"pdfa",!0);this.amd=null;this.conformance=null;this.includeXDPContent=null;this.part=null}}class Permissions extends XFAObject{constructor(e){super(Qo,"permissions",!0);this.accessibleContent=null;this.change=null;this.contentCopy=null;this.documentAssembly=null;this.formFieldFilling=null;this.modifyAnnots=null;this.plaintextMetadata=null;this.print=null;this.printHighQuality=null}}class PickTrayByPDFSize extends Option01{constructor(e){super(Qo,"pickTrayByPDFSize")}}class config\ +_Picture extends StringObject{constructor(e){super(Qo,"picture")}}class PlaintextMetadata extends Option01{constructor(e){super(Qo,"plaintextMetadata")}}class Presence extends OptionObject{constructor(e){super(Qo,"presence",["preserve","dissolve","dissolveStructure","ignore","remove"])}}class Present extends XFAObject{constructor(e){super(Qo,"present",!0);this.behaviorOverride=null;this.cache=null;this.common=null;this.copies=null;this.destination=null;this.incrementalMerge=null;this.layout=null\ +;this.output=null;this.overprint=null;this.pagination=null;this.paginationOverride=null;this.script=null;this.validate=null;this.xdp=null;this.driver=new XFAObjectArray;this.labelPrinter=new XFAObjectArray;this.pcl=new XFAObjectArray;this.pdf=new XFAObjectArray;this.ps=new XFAObjectArray;this.submitUrl=new XFAObjectArray;this.webClient=new XFAObjectArray;this.zpl=new XFAObjectArray}}class Print extends Option01{constructor(e){super(Qo,"print")}}class PrintHighQuality extends Option01{constructor\ +(e){super(Qo,"printHighQuality")}}class PrintScaling extends OptionObject{constructor(e){super(Qo,"printScaling",["appdefault","noScaling"])}}class PrinterName extends StringObject{constructor(e){super(Qo,"printerName")}}class Producer extends StringObject{constructor(e){super(Qo,"producer")}}class Ps extends XFAObject{constructor(e){super(Qo,"ps",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.staple=null;this.xdc=nul\ +l}}class Range extends ContentObject{constructor(e){super(Qo,"range")}[hs](){this[ss]=this[ss].split(",",2).map((e=>e.split("-").map((e=>parseInt(e.trim(),10))))).filter((e=>e.every((e=>!isNaN(e))))).map((e=>{1===e.length&&e.push(e[0]);return e}))}}class Record extends ContentObject{constructor(e){super(Qo,"record")}[hs](){this[ss]=this[ss].trim();const e=parseInt(this[ss],10);!isNaN(e)&&e>=0&&(this[ss]=e)}}class Relevant extends ContentObject{constructor(e){super(Qo,"relevant")}[hs](){this[ss]=\ +this[ss].trim().split(/\\s+/)}}class Rename extends ContentObject{constructor(e){super(Qo,"rename")}[hs](){this[ss]=this[ss].trim();(this[ss].toLowerCase().startsWith("xml")||new RegExp("[\\\\p{L}_][\\\\p{L}\\\\d._\\\\p{M}-]*","u").test(this[ss]))&&warn("XFA - Rename: invalid XFA name")}}class RenderPolicy extends OptionObject{constructor(e){super(Qo,"renderPolicy",["server","client"])}}class RunScripts extends OptionObject{constructor(e){super(Qo,"runScripts",["both","client","none","server"])}}class co\ +nfig_Script extends XFAObject{constructor(e){super(Qo,"script",!0);this.currentPage=null;this.exclude=null;this.runScripts=null}}class ScriptModel extends OptionObject{constructor(e){super(Qo,"scriptModel",["XFA","none"])}}class Severity extends OptionObject{constructor(e){super(Qo,"severity",["ignore","error","information","trace","warning"])}}class SilentPrint extends XFAObject{constructor(e){super(Qo,"silentPrint",!0);this.addSilentPrint=null;this.printerName=null}}class Staple extends XFAObj\ +ect{constructor(e){super(Qo,"staple");this.mode=getStringOption(e.mode,["usePrinterSetting","on","off"])}}class StartNode extends StringObject{constructor(e){super(Qo,"startNode")}}class StartPage extends IntegerObject{constructor(e){super(Qo,"startPage",0,(e=>!0))}}class SubmitFormat extends OptionObject{constructor(e){super(Qo,"submitFormat",["html","delegate","fdf","xml","pdf"])}}class SubmitUrl extends StringObject{constructor(e){super(Qo,"submitUrl")}}class SubsetBelow extends IntegerObject\ +{constructor(e){super(Qo,"subsetBelow",100,(e=>e>=0&&e<=100))}}class SuppressBanner extends Option01{constructor(e){super(Qo,"suppressBanner")}}class Tagged extends Option01{constructor(e){super(Qo,"tagged")}}class config_Template extends XFAObject{constructor(e){super(Qo,"template",!0);this.base=null;this.relevant=null;this.startPage=null;this.uri=null;this.xsl=null}}class Threshold extends OptionObject{constructor(e){super(Qo,"threshold",["trace","error","information","warning"])}}class To ext\ +ends OptionObject{constructor(e){super(Qo,"to",["null","memory","stderr","stdout","system","uri"])}}class TemplateCache extends XFAObject{constructor(e){super(Qo,"templateCache");this.maxEntries=getInteger({data:e.maxEntries,defaultValue:5,validate:e=>e>=0})}}class Trace extends XFAObject{constructor(e){super(Qo,"trace",!0);this.area=new XFAObjectArray}}class Transform extends XFAObject{constructor(e){super(Qo,"transform",!0);this.groupParent=null;this.ifEmpty=null;this.nameAttr=null;this.pictur\ +e=null;this.presence=null;this.rename=null;this.whitespace=null}}class Type extends OptionObject{constructor(e){super(Qo,"type",["none","ascii85","asciiHex","ccittfax","flate","lzw","runLength","native","xdp","mergedXDP"])}}class Uri extends StringObject{constructor(e){super(Qo,"uri")}}class config_Validate extends OptionObject{constructor(e){super(Qo,"validate",["preSubmit","prePrint","preExecute","preSave"])}}class ValidateApprovalSignatures extends ContentObject{constructor(e){super(Qo,"valid\ +ateApprovalSignatures")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["docReady","postSign"].includes(e)))}}class ValidationMessaging extends OptionObject{constructor(e){super(Qo,"validationMessaging",["allMessagesIndividually","allMessagesTogether","firstMessageOnly","noMessages"])}}class Version extends OptionObject{constructor(e){super(Qo,"version",["1.7","1.6","1.5","1.4","1.3","1.2"])}}class VersionControl extends XFAObject{constructor(e){super(Qo,"VersionControl");this.outputBel\ +ow=getStringOption(e.outputBelow,["warn","error","update"]);this.sourceAbove=getStringOption(e.sourceAbove,["warn","error"]);this.sourceBelow=getStringOption(e.sourceBelow,["update","maintain"])}}class ViewerPreferences extends XFAObject{constructor(e){super(Qo,"viewerPreferences",!0);this.ADBE_JSConsole=null;this.ADBE_JSDebugger=null;this.addViewerPreferences=null;this.duplexOption=null;this.enforce=null;this.numberOfCopies=null;this.pageRange=null;this.pickTrayByPDFSize=null;this.printScaling=\ +null}}class WebClient extends XFAObject{constructor(e){super(Qo,"webClient",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class Whitespace extends OptionObject{constructor(e){super(Qo,"whitespace",["preserve","ltrim","normalize","rtrim","trim"])}}class Window extends ContentObject{constructor(e){super(Qo,"window")}[hs](){const e=this[ss].split(",",2).map((e=>parseInt(e.trim(),10)));if(e.some((e=>isNaN(e))))this[ss]=[0,0];else{1===e.length&&e.push(e[0]);this[ss]=e}}}clas\ +s Xdc extends XFAObject{constructor(e){super(Qo,"xdc",!0);this.uri=new XFAObjectArray;this.xsl=new XFAObjectArray}}class Xdp extends XFAObject{constructor(e){super(Qo,"xdp",!0);this.packets=null}}class Xsl extends XFAObject{constructor(e){super(Qo,"xsl",!0);this.debug=null;this.uri=null}}class Zpl extends XFAObject{constructor(e){super(Qo,"zpl",!0);this.name=e.name?e.name.trim():"";this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class ConfigNamespace{static[fo](e,t){i\ +f(ConfigNamespace.hasOwnProperty(e))return ConfigNamespace[e](t)}static acrobat(e){return new Acrobat(e)}static acrobat7(e){return new Acrobat7(e)}static ADBE_JSConsole(e){return new ADBE_JSConsole(e)}static ADBE_JSDebugger(e){return new ADBE_JSDebugger(e)}static addSilentPrint(e){return new AddSilentPrint(e)}static addViewerPreferences(e){return new AddViewerPreferences(e)}static adjustData(e){return new AdjustData(e)}static adobeExtensionLevel(e){return new AdobeExtensionLevel(e)}static agent(\ +e){return new Agent(e)}static alwaysEmbed(e){return new AlwaysEmbed(e)}static amd(e){return new Amd(e)}static area(e){return new config_Area(e)}static attributes(e){return new Attributes(e)}static autoSave(e){return new AutoSave(e)}static base(e){return new Base(e)}static batchOutput(e){return new BatchOutput(e)}static behaviorOverride(e){return new BehaviorOverride(e)}static cache(e){return new Cache(e)}static change(e){return new Change(e)}static common(e){return new Common(e)}static compress(\ +e){return new Compress(e)}static compressLogicalStructure(e){return new CompressLogicalStructure(e)}static compressObjectStream(e){return new CompressObjectStream(e)}static compression(e){return new Compression(e)}static config(e){return new Config(e)}static conformance(e){return new Conformance(e)}static contentCopy(e){return new ContentCopy(e)}static copies(e){return new Copies(e)}static creator(e){return new Creator(e)}static currentPage(e){return new CurrentPage(e)}static data(e){return new \ +Data(e)}static debug(e){return new Debug(e)}static defaultTypeface(e){return new DefaultTypeface(e)}static destination(e){return new Destination(e)}static documentAssembly(e){return new DocumentAssembly(e)}static driver(e){return new Driver(e)}static duplexOption(e){return new DuplexOption(e)}static dynamicRender(e){return new DynamicRender(e)}static embed(e){return new Embed(e)}static encrypt(e){return new config_Encrypt(e)}static encryption(e){return new config_Encryption(e)}static encryptionL\ +evel(e){return new EncryptionLevel(e)}static enforce(e){return new Enforce(e)}static equate(e){return new Equate(e)}static equateRange(e){return new EquateRange(e)}static exclude(e){return new Exclude(e)}static excludeNS(e){return new ExcludeNS(e)}static flipLabel(e){return new FlipLabel(e)}static fontInfo(e){return new config_FontInfo(e)}static formFieldFilling(e){return new FormFieldFilling(e)}static groupParent(e){return new GroupParent(e)}static ifEmpty(e){return new IfEmpty(e)}static includ\ +eXDPContent(e){return new IncludeXDPContent(e)}static incrementalLoad(e){return new IncrementalLoad(e)}static incrementalMerge(e){return new IncrementalMerge(e)}static interactive(e){return new Interactive(e)}static jog(e){return new Jog(e)}static labelPrinter(e){return new LabelPrinter(e)}static layout(e){return new Layout(e)}static level(e){return new Level(e)}static linearized(e){return new Linearized(e)}static locale(e){return new Locale(e)}static localeSet(e){return new LocaleSet(e)}static \ +log(e){return new Log(e)}static map(e){return new MapElement(e)}static mediumInfo(e){return new MediumInfo(e)}static message(e){return new config_Message(e)}static messaging(e){return new Messaging(e)}static mode(e){return new Mode(e)}static modifyAnnots(e){return new ModifyAnnots(e)}static msgId(e){return new MsgId(e)}static nameAttr(e){return new NameAttr(e)}static neverEmbed(e){return new NeverEmbed(e)}static numberOfCopies(e){return new NumberOfCopies(e)}static openAction(e){return new OpenA\ +ction(e)}static output(e){return new Output(e)}static outputBin(e){return new OutputBin(e)}static outputXSL(e){return new OutputXSL(e)}static overprint(e){return new Overprint(e)}static packets(e){return new Packets(e)}static pageOffset(e){return new PageOffset(e)}static pageRange(e){return new PageRange(e)}static pagination(e){return new Pagination(e)}static paginationOverride(e){return new PaginationOverride(e)}static part(e){return new Part(e)}static pcl(e){return new Pcl(e)}static pdf(e){ret\ +urn new Pdf(e)}static pdfa(e){return new Pdfa(e)}static permissions(e){return new Permissions(e)}static pickTrayByPDFSize(e){return new PickTrayByPDFSize(e)}static picture(e){return new config_Picture(e)}static plaintextMetadata(e){return new PlaintextMetadata(e)}static presence(e){return new Presence(e)}static present(e){return new Present(e)}static print(e){return new Print(e)}static printHighQuality(e){return new PrintHighQuality(e)}static printScaling(e){return new PrintScaling(e)}static pri\ +nterName(e){return new PrinterName(e)}static producer(e){return new Producer(e)}static ps(e){return new Ps(e)}static range(e){return new Range(e)}static record(e){return new Record(e)}static relevant(e){return new Relevant(e)}static rename(e){return new Rename(e)}static renderPolicy(e){return new RenderPolicy(e)}static runScripts(e){return new RunScripts(e)}static script(e){return new config_Script(e)}static scriptModel(e){return new ScriptModel(e)}static severity(e){return new Severity(e)}stati\ +c silentPrint(e){return new SilentPrint(e)}static staple(e){return new Staple(e)}static startNode(e){return new StartNode(e)}static startPage(e){return new StartPage(e)}static submitFormat(e){return new SubmitFormat(e)}static submitUrl(e){return new SubmitUrl(e)}static subsetBelow(e){return new SubsetBelow(e)}static suppressBanner(e){return new SuppressBanner(e)}static tagged(e){return new Tagged(e)}static template(e){return new config_Template(e)}static templateCache(e){return new TemplateCache\ +(e)}static threshold(e){return new Threshold(e)}static to(e){return new To(e)}static trace(e){return new Trace(e)}static transform(e){return new Transform(e)}static type(e){return new Type(e)}static uri(e){return new Uri(e)}static validate(e){return new config_Validate(e)}static validateApprovalSignatures(e){return new ValidateApprovalSignatures(e)}static validationMessaging(e){return new ValidationMessaging(e)}static version(e){return new Version(e)}static versionControl(e){return new VersionCo\ +ntrol(e)}static viewerPreferences(e){return new ViewerPreferences(e)}static webClient(e){return new WebClient(e)}static whitespace(e){return new Whitespace(e)}static window(e){return new Window(e)}static xdc(e){return new Xdc(e)}static xdp(e){return new Xdp(e)}static xsl(e){return new Xsl(e)}static zpl(e){return new Zpl(e)}}const ec=go.connectionSet.id;class ConnectionSet extends XFAObject{constructor(e){super(ec,"connectionSet",!0);this.wsdlConnection=new XFAObjectArray;this.xmlConnection=new X\ +FAObjectArray;this.xsdConnection=new XFAObjectArray}}class EffectiveInputPolicy extends XFAObject{constructor(e){super(ec,"effectiveInputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EffectiveOutputPolicy extends XFAObject{constructor(e){super(ec,"effectiveOutputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Operation extends StringObject{constructor(e){super(ec,"operation");this.id=e.id||"\ +";this.input=e.input||"";this.name=e.name||"";this.output=e.output||"";this.use=e.use||"";this.usehref=e.usehref||""}}class RootElement extends StringObject{constructor(e){super(ec,"rootElement");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAction extends StringObject{constructor(e){super(ec,"soapAction");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAddress extends StringObject{constructor(e){supe\ +r(ec,"soapAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class connection_set_Uri extends StringObject{constructor(e){super(ec,"uri");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlAddress extends StringObject{constructor(e){super(ec,"wsdlAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlConnection extends XFAObject{constructor(e){super(ec,"wsdlCo\ +nnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.effectiveInputPolicy=null;this.effectiveOutputPolicy=null;this.operation=null;this.soapAction=null;this.soapAddress=null;this.wsdlAddress=null}}class XmlConnection extends XFAObject{constructor(e){super(ec,"xmlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.uri=null}}class XsdConnection extends XFAObject{constructor(e){super(ec,"xsdConnection",!0);this.dataDescription=e.dataDes\ +cription||"";this.name=e.name||"";this.rootElement=null;this.uri=null}}class ConnectionSetNamespace{static[fo](e,t){if(ConnectionSetNamespace.hasOwnProperty(e))return ConnectionSetNamespace[e](t)}static connectionSet(e){return new ConnectionSet(e)}static effectiveInputPolicy(e){return new EffectiveInputPolicy(e)}static effectiveOutputPolicy(e){return new EffectiveOutputPolicy(e)}static operation(e){return new Operation(e)}static rootElement(e){return new RootElement(e)}static soapAction(e){retur\ +n new SoapAction(e)}static soapAddress(e){return new SoapAddress(e)}static uri(e){return new connection_set_Uri(e)}static wsdlAddress(e){return new WsdlAddress(e)}static wsdlConnection(e){return new WsdlConnection(e)}static xmlConnection(e){return new XmlConnection(e)}static xsdConnection(e){return new XsdConnection(e)}}const tc=go.datasets.id;class datasets_Data extends XmlObject{constructor(e){super(tc,"data",e)}[Ls](){return!0}}class Datasets extends XFAObject{constructor(e){super(tc,"dataset\ +s",!0);this.data=null;this.Signature=null}[$s](e){const t=e[Ws];("data"===t&&e[Hs]===tc||"Signature"===t&&e[Hs]===go.signature.id)&&(this[t]=e);this[Qn](e)}}class DatasetsNamespace{static[fo](e,t){if(DatasetsNamespace.hasOwnProperty(e))return DatasetsNamespace[e](t)}static datasets(e){return new Datasets(e)}static data(e){return new datasets_Data(e)}}const ac=go.localeSet.id;class CalendarSymbols extends XFAObject{constructor(e){super(ac,"calendarSymbols",!0);this.name="gregorian";this.dayNames=\ +new XFAObjectArray(2);this.eraNames=null;this.meridiemNames=null;this.monthNames=new XFAObjectArray(2)}}class CurrencySymbol extends StringObject{constructor(e){super(ac,"currencySymbol");this.name=getStringOption(e.name,["symbol","isoname","decimal"])}}class CurrencySymbols extends XFAObject{constructor(e){super(ac,"currencySymbols",!0);this.currencySymbol=new XFAObjectArray(3)}}class DatePattern extends StringObject{constructor(e){super(ac,"datePattern");this.name=getStringOption(e.name,["full\ +","long","med","short"])}}class DatePatterns extends XFAObject{constructor(e){super(ac,"datePatterns",!0);this.datePattern=new XFAObjectArray(4)}}class DateTimeSymbols extends ContentObject{constructor(e){super(ac,"dateTimeSymbols")}}class Day extends StringObject{constructor(e){super(ac,"day")}}class DayNames extends XFAObject{constructor(e){super(ac,"dayNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.day=new XFAObjectArray(7)}}class Era extends StringObject\ +{constructor(e){super(ac,"era")}}class EraNames extends XFAObject{constructor(e){super(ac,"eraNames",!0);this.era=new XFAObjectArray(2)}}class locale_set_Locale extends XFAObject{constructor(e){super(ac,"locale",!0);this.desc=e.desc||"";this.name="isoname";this.calendarSymbols=null;this.currencySymbols=null;this.datePatterns=null;this.dateTimeSymbols=null;this.numberPatterns=null;this.numberSymbols=null;this.timePatterns=null;this.typeFaces=null}}class locale_set_LocaleSet extends XFAObject{cons\ +tructor(e){super(ac,"localeSet",!0);this.locale=new XFAObjectArray}}class Meridiem extends StringObject{constructor(e){super(ac,"meridiem")}}class MeridiemNames extends XFAObject{constructor(e){super(ac,"meridiemNames",!0);this.meridiem=new XFAObjectArray(2)}}class Month extends StringObject{constructor(e){super(ac,"month")}}class MonthNames extends XFAObject{constructor(e){super(ac,"monthNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.month=new XFAObjectArra\ +y(12)}}class NumberPattern extends StringObject{constructor(e){super(ac,"numberPattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class NumberPatterns extends XFAObject{constructor(e){super(ac,"numberPatterns",!0);this.numberPattern=new XFAObjectArray(4)}}class NumberSymbol extends StringObject{constructor(e){super(ac,"numberSymbol");this.name=getStringOption(e.name,["decimal","grouping","percent","minus","zero"])}}class NumberSymbols extends XFAObject{constructor(e){supe\ +r(ac,"numberSymbols",!0);this.numberSymbol=new XFAObjectArray(5)}}class TimePattern extends StringObject{constructor(e){super(ac,"timePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class TimePatterns extends XFAObject{constructor(e){super(ac,"timePatterns",!0);this.timePattern=new XFAObjectArray(4)}}class TypeFace extends XFAObject{constructor(e){super(ac,"typeFace",!0);this.name=""|e.name}}class TypeFaces extends XFAObject{constructor(e){super(ac,"typeFaces",!0);this\ +.typeFace=new XFAObjectArray}}class LocaleSetNamespace{static[fo](e,t){if(LocaleSetNamespace.hasOwnProperty(e))return LocaleSetNamespace[e](t)}static calendarSymbols(e){return new CalendarSymbols(e)}static currencySymbol(e){return new CurrencySymbol(e)}static currencySymbols(e){return new CurrencySymbols(e)}static datePattern(e){return new DatePattern(e)}static datePatterns(e){return new DatePatterns(e)}static dateTimeSymbols(e){return new DateTimeSymbols(e)}static day(e){return new Day(e)}stati\ +c dayNames(e){return new DayNames(e)}static era(e){return new Era(e)}static eraNames(e){return new EraNames(e)}static locale(e){return new locale_set_Locale(e)}static localeSet(e){return new locale_set_LocaleSet(e)}static meridiem(e){return new Meridiem(e)}static meridiemNames(e){return new MeridiemNames(e)}static month(e){return new Month(e)}static monthNames(e){return new MonthNames(e)}static numberPattern(e){return new NumberPattern(e)}static numberPatterns(e){return new NumberPatterns(e)}sta\ +tic numberSymbol(e){return new NumberSymbol(e)}static numberSymbols(e){return new NumberSymbols(e)}static timePattern(e){return new TimePattern(e)}static timePatterns(e){return new TimePatterns(e)}static typeFace(e){return new TypeFace(e)}static typeFaces(e){return new TypeFaces(e)}}const rc=go.signature.id;class signature_Signature extends XFAObject{constructor(e){super(rc,"signature",!0)}}class SignatureNamespace{static[fo](e,t){if(SignatureNamespace.hasOwnProperty(e))return SignatureNamespace\ +[e](t)}static signature(e){return new signature_Signature(e)}}const ic=go.stylesheet.id;class Stylesheet extends XFAObject{constructor(e){super(ic,"stylesheet",!0)}}class StylesheetNamespace{static[fo](e,t){if(StylesheetNamespace.hasOwnProperty(e))return StylesheetNamespace[e](t)}static stylesheet(e){return new Stylesheet(e)}}const nc=go.xdp.id;class xdp_Xdp extends XFAObject{constructor(e){super(nc,"xdp",!0);this.uuid=e.uuid||"";this.timeStamp=e.timeStamp||"";this.config=null;this.connectionSet\ +=null;this.datasets=null;this.localeSet=null;this.stylesheet=new XFAObjectArray;this.template=null}[Gs](e){const t=go[e[Ws]];return t&&e[Hs]===t.id}}class XdpNamespace{static[fo](e,t){if(XdpNamespace.hasOwnProperty(e))return XdpNamespace[e](t)}static xdp(e){return new xdp_Xdp(e)}}const sc=go.xhtml.id,oc=Symbol(),cc=new Set(["color","font","font-family","font-size","font-stretch","font-style","font-weight","margin","margin-bottom","margin-left","margin-right","margin-top","letter-spacing","line-h\ +eight","orphans","page-break-after","page-break-before","page-break-inside","tab-interval","tab-stop","text-align","text-decoration","text-indent","vertical-align","widows","kerning-mode","xfa-font-horizontal-scale","xfa-font-vertical-scale","xfa-spacerun","xfa-tab-stops"]),lc=new Map([["page-break-after","breakAfter"],["page-break-before","breakBefore"],["page-break-inside","breakInside"],["kerning-mode",e=>"none"===e?"none":"normal"],["xfa-font-horizontal-scale",e=>`scaleX(${Math.max(0,parseIn\ +t(e)/100).toFixed(2)})`],["xfa-font-vertical-scale",e=>`scaleY(${Math.max(0,parseInt(e)/100).toFixed(2)})`],["xfa-spacerun",""],["xfa-tab-stops",""],["font-size",(e,t)=>measureToString(.99*(e=t.fontSize=Math.abs(getMeasurement(e))))],["letter-spacing",e=>measureToString(getMeasurement(e))],["line-height",e=>measureToString(getMeasurement(e))],["margin",e=>measureToString(getMeasurement(e))],["margin-bottom",e=>measureToString(getMeasurement(e))],["margin-left",e=>measureToString(getMeasurement(e\ +))],["margin-right",e=>measureToString(getMeasurement(e))],["margin-top",e=>measureToString(getMeasurement(e))],["text-indent",e=>measureToString(getMeasurement(e))],["font-family",e=>e],["vertical-align",e=>measureToString(getMeasurement(e))]]),hc=/\\s+/g,uc=/[\\r\\n]+/g,dc=/\\r\\n?/g;function mapStyle(e,t,a){const r=Object.create(null);if(!e)return r;const i=Object.create(null);for(const[t,a]of e.split(";").map((e=>e.split(":",2)))){const e=lc.get(t);if(""===e)continue;let n=a;e&&(n="string"==typeo\ +f e?e:e(a,i));t.endsWith("scale")?r.transform=r.transform?`${r[t]} ${n}`:n:r[t.replaceAll(/-([a-zA-Z])/g,((e,t)=>t.toUpperCase()))]=n}r.fontFamily&&setFontFamily({typeface:r.fontFamily,weight:r.fontWeight||"normal",posture:r.fontStyle||"normal",size:i.fontSize||0},t,t[Is].fontFinder,r);if(a&&r.verticalAlign&&"0px"!==r.verticalAlign&&r.fontSize){const e=.583,t=.333,a=getMeasurement(r.fontSize);r.fontSize=measureToString(a*e);r.verticalAlign=measureToString(Math.sign(getMeasurement(r.verticalAlign\ +))*a*t)}a&&r.fontSize&&(r.fontSize=`calc(${r.fontSize} * var(--total-scale-factor))`);fixTextIndent(r);return r}const fc=new Set(["body","html"]);class XhtmlObject extends XmlObject{constructor(e,t){super(sc,t);this[oc]=!1;this.style=e.style||""}[ts](e){super[ts](e);this.style=function checkStyle(e){return e.style?e.style.split(";").filter((e=>!!e.trim())).map((e=>e.split(":",2).map((e=>e.trim())))).filter((([t,a])=>{"font-family"===t&&e[Is].usedTypefaces.add(a);return cc.has(t)})).map((e=>e.joi\ +n(":"))).join(";"):""}(this)}[Yn](){return!fc.has(this[Ws])}[Vs](e,t=!1){if(t)this[oc]=!0;else{e=e.replaceAll(uc,"");this.style.includes("xfa-spacerun:yes")||(e=e.replaceAll(hc," "))}e&&(this[ss]+=e)}[Ks](e,t=!0){const a=Object.create(null),r={top:NaN,bottom:NaN,left:NaN,right:NaN};let i=null;for(const[e,t]of this.style.split(";").map((e=>e.split(":",2))))switch(e){case"font-family":a.typeface=stripQuotes(t);break;case"font-size":a.size=getMeasurement(t);break;case"font-weight":a.weight=t;break;\ +case"font-style":a.posture=t;break;case"letter-spacing":a.letterSpacing=getMeasurement(t);break;case"margin":const e=t.split(/ \\t/).map((e=>getMeasurement(e)));switch(e.length){case 1:r.top=r.bottom=r.left=r.right=e[0];break;case 2:r.top=r.bottom=e[0];r.left=r.right=e[1];break;case 3:r.top=e[0];r.bottom=e[2];r.left=r.right=e[1];break;case 4:r.top=e[0];r.left=e[1];r.bottom=e[2];r.right=e[3]}break;case"margin-top":r.top=getMeasurement(t);break;case"margin-bottom":r.bottom=getMeasurement(t);break;c\ +ase"margin-left":r.left=getMeasurement(t);break;case"margin-right":r.right=getMeasurement(t);break;case"line-height":i=getMeasurement(t)}e.pushData(a,r,i);if(this[ss])e.addString(this[ss]);else for(const t of this[Ss]())"#text"!==t[Ws]?t[Ks](e):e.addString(t[ss]);t&&e.popFont()}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length&&!this[ss])return HTMLResult.EMPTY;let a;a=this[oc]?this[ss]?this[ss].replaceAll(dc,"\\n"):void 0:this[ss]||void 0;return HTMLResult.success({name:this[\ +Ws],attributes:{href:this.href,style:mapStyle(this.style,this,this[oc])},children:t,value:a})}}class A extends XhtmlObject{constructor(e){super(e,"a");this.href=fixURL(e.href)||""}}class B extends XhtmlObject{constructor(e){super(e,"b")}[Ks](e){e.pushFont({weight:"bold"});super[Ks](e);e.popFont()}}class Body extends XhtmlObject{constructor(e){super(e,"body")}[co](e){const t=super[co](e),{html:a}=t;if(!a)return HTMLResult.EMPTY;a.name="div";a.attributes.class=["xfaRich"];return t}}class Br extend\ +s XhtmlObject{constructor(e){super(e,"br")}[so](){return"\\n"}[Ks](e){e.addString("\\n")}[co](e){return HTMLResult.success({name:"br"})}}class Html extends XhtmlObject{constructor(e){super(e,"html")}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length)return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},value:this[ss]||""});if(1===t.length){const e=t[0];if(e.attributes?.class.includes("xfaRich"))return HTMLResult.success(e)}return HTMLResult.success({name:\ +"div",attributes:{class:["xfaRich"],style:{}},children:t})}}class I extends XhtmlObject{constructor(e){super(e,"i")}[Ks](e){e.pushFont({posture:"italic"});super[Ks](e);e.popFont()}}class Li extends XhtmlObject{constructor(e){super(e,"li")}}class Ol extends XhtmlObject{constructor(e){super(e,"ol")}}class P extends XhtmlObject{constructor(e){super(e,"p")}[Ks](e){super[Ks](e,!1);e.addString("\\n");e.addPara();e.popFont()}[so](){return this[vs]()[Ss]().at(-1)===this?super[so]():super[so]()+"\\n"}}clas\ +s Span extends XhtmlObject{constructor(e){super(e,"span")}}class Sub extends XhtmlObject{constructor(e){super(e,"sub")}}class Sup extends XhtmlObject{constructor(e){super(e,"sup")}}class Ul extends XhtmlObject{constructor(e){super(e,"ul")}}class XhtmlNamespace{static[fo](e,t){if(XhtmlNamespace.hasOwnProperty(e))return XhtmlNamespace[e](t)}static a(e){return new A(e)}static b(e){return new B(e)}static body(e){return new Body(e)}static br(e){return new Br(e)}static html(e){return new Html(e)}stati\ +c i(e){return new I(e)}static li(e){return new Li(e)}static ol(e){return new Ol(e)}static p(e){return new P(e)}static span(e){return new Span(e)}static sub(e){return new Sub(e)}static sup(e){return new Sup(e)}static ul(e){return new Ul(e)}}const gc={config:ConfigNamespace,connection:ConnectionSetNamespace,datasets:DatasetsNamespace,localeSet:LocaleSetNamespace,signature:SignatureNamespace,stylesheet:StylesheetNamespace,template:TemplateNamespace,xdp:XdpNamespace,xhtml:XhtmlNamespace};class Unkno\ +wnNamespace{constructor(e){this.namespaceId=e}[fo](e,t){return new XmlObject(this.namespaceId,e,t)}}class Root extends XFAObject{constructor(e){super(-1,"root",Object.create(null));this.element=null;this[Os]=e}[$s](e){this.element=e;return!0}[hs](){super[hs]();if(this.element.template instanceof Template){this[Os].set(Qs,this.element);this.element.template[eo](this[Os]);this.element.template[Os]=this[Os]}}}class Empty extends XFAObject{constructor(){super(-1,"",Object.create(null))}[$s](e){retur\ +n!1}}class Builder{constructor(e=null){this._namespaceStack=[];this._nsAgnosticLevel=0;this._namespacePrefixes=new Map;this._namespaces=new Map;this._nextNsId=Math.max(...Object.values(go).map((({id:e})=>e)));this._currentNamespace=e||new UnknownNamespace(++this._nextNsId)}buildRoot(e){return new Root(e)}build({nsPrefix:e,name:t,attributes:a,namespace:r,prefixes:i}){const n=null!==r;if(n){this._namespaceStack.push(this._currentNamespace);this._currentNamespace=this._searchNamespace(r)}i&&this._a\ +ddNamespacePrefix(i);if(a.hasOwnProperty(zs)){const e=gc.datasets,t=a[zs];let r=null;for(const[a,i]of Object.entries(t)){if(this._getNamespaceToUse(a)===e){r={xfa:i};break}}r?a[zs]=r:delete a[zs]}const s=this._getNamespaceToUse(e),o=s?.[fo](t,a)||new Empty;o[Ls]()&&this._nsAgnosticLevel++;(n||i||o[Ls]())&&(o[rs]={hasNamespace:n,prefixes:i,nsAgnostic:o[Ls]()});return o}isNsAgnostic(){return this._nsAgnosticLevel>0}_searchNamespace(e){let t=this._namespaces.get(e);if(t)return t;for(const[a,{check:\ +r}]of Object.entries(go))if(r(e)){t=gc[a];if(t){this._namespaces.set(e,t);return t}break}t=new UnknownNamespace(++this._nextNsId);this._namespaces.set(e,t);return t}_addNamespacePrefix(e){for(const{prefix:t,value:a}of e){const e=this._searchNamespace(a);let r=this._namespacePrefixes.get(t);if(!r){r=[];this._namespacePrefixes.set(t,r)}r.push(e)}}_getNamespaceToUse(e){if(!e)return this._currentNamespace;const t=this._namespacePrefixes.get(e);if(t?.length>0)return t.at(-1);warn(`Unknown namespace p\ +refix: ${e}.`);return null}clean(e){const{hasNamespace:t,prefixes:a,nsAgnostic:r}=e;t&&(this._currentNamespace=this._namespaceStack.pop());a&&a.forEach((({prefix:e})=>{this._namespacePrefixes.get(e).pop()}));r&&this._nsAgnosticLevel--}}class XFAParser extends XMLParserBase{constructor(e=null,t=!1){super();this._builder=new Builder(e);this._stack=[];this._globalData={usedTypefaces:new Set};this._ids=new Map;this._current=this._builder.buildRoot(this._ids);this._errorCode=jn;this._whiteRegex=/^\\s+\ +$/;this._nbsps=/\\xa0+/g;this._richText=t}parse(e){this.parseXml(e);if(this._errorCode===jn){this._current[hs]();return this._current.element}}onText(e){e=e.replace(this._nbsps,(e=>e.slice(1)+" "));this._richText||this._current[Yn]()?this._current[Vs](e,this._richText):this._whiteRegex.test(e)||this._current[Vs](e.trim())}onCdata(e){this._current[Vs](e)}_mkAttributes(e,t){let a=null,r=null;const i=Object.create({});for(const{name:n,value:s}of e)if("xmlns"===n)a?warn(`XFA - multiple namespace defi\ +nition in <${t}>`):a=s;else if(n.startsWith("xmlns:")){const e=n.substring(6);r??=[];r.push({prefix:e,value:s})}else{const e=n.indexOf(":");if(-1===e)i[n]=s;else{const t=i[zs]??=Object.create(null),[a,r]=[n.slice(0,e),n.slice(e+1)];(t[a]||=Object.create(null))[r]=s}}return[a,r,i]}_getNameAndPrefix(e,t){const a=e.indexOf(":");return-1===a?[e,null]:[e.substring(a+1),t?"":e.substring(0,a)]}onBeginElement(e,t,a){const[r,i,n]=this._mkAttributes(t,e),[s,o]=this._getNameAndPrefix(e,this._builder.isNsAg\ +nostic()),c=this._builder.build({nsPrefix:o,name:s,attributes:n,namespace:r,prefixes:i});c[Is]=this._globalData;if(a){c[hs]();this._current[$s](c)&&c[ao](this._ids);c[ts](this._builder)}else{this._stack.push(this._current);this._current=c}}onEndElement(e){const t=this._current;if(t[Bs]()&&"string"==typeof t[ss]){const e=new XFAParser;e._globalData=this._globalData;const a=e.parse(t[ss]);t[ss]=null;t[$s](a)}t[hs]();this._current=this._stack.pop();this._current[$s](t)&&t[ao](this._ids);t[ts](this.\ +_builder)}onError(e){this._errorCode=e}}class XFAFactory{constructor(e){try{this.root=(new XFAParser).parse(XFAFactory._createDocument(e));const t=new Binder(this.root);this.form=t.bind();this.dataHandler=new DataHandler(this.root,t.getData());this.form[Is].template=this.form}catch(e){warn(`XFA - an error occurred during parsing and binding: ${e}`)}}isValid(){return!(!this.root||!this.form)}_createPagesHelper(){const e=this.form[oo]();return new Promise(((t,a)=>{const nextIteration=()=>{try{cons\ +t a=e.next();a.done?t(a.value):setTimeout(nextIteration,0)}catch(e){a(e)}};setTimeout(nextIteration,0)}))}async _createPages(){try{this.pages=await this._createPagesHelper();this.dims=this.pages.children.map((e=>{const{width:t,height:a}=e.attributes.style;return[0,0,parseInt(t),parseInt(a)]}))}catch(e){warn(`XFA - an error occurred during layout: ${e}`)}}getBoundingBox(e){return this.dims[e]}async getNumPages(){this.pages||await this._createPages();return this.dims.length}setImages(e){this.form[\ +Is].images=e}setFonts(e){this.form[Is].fontFinder=new FontFinder(e);const t=[];for(let e of this.form[Is].usedTypefaces){e=stripQuotes(e);this.form[Is].fontFinder.find(e)||t.push(e)}return t.length>0?t:null}appendFonts(e,t){this.form[Is].fontFinder.add(e,t)}async getPages(){this.pages||await this._createPages();const e=this.pages;this.pages=null;return e}serializeData(e){return this.dataHandler.serialize(e)}static _createDocument(e){return e["/xdp:xdp"]?Object.values(e).join(""):e["xdp:xdp"]}sta\ +tic getRichTextAsHtml(e){if(!e||"string"!=typeof e)return null;try{let t=new XFAParser(XhtmlNamespace,!0).parse(e);if(!["body","xhtml"].includes(t[Ws])){const e=XhtmlNamespace.body({});e[Qn](t);t=e}const a=t[co]();if(!a.success)return null;const{html:r}=a,{attributes:i}=r;if(i){i.class&&(i.class=i.class.filter((e=>!e.startsWith("xfa"))));i.dir="auto"}return{html:r,str:t[so]()}}catch(e){warn(`XFA - an error occurred during parsing of rich text: ${e}`)}return null}}class AnnotationFactory{static c\ +reateGlobals(e){return Promise.all([e.ensureCatalog("acroForm"),e.ensureDoc("xfaDatasets"),e.ensureCatalog("structTreeRoot"),e.ensureCatalog("baseUrl"),e.ensureCatalog("attachments"),e.ensureCatalog("globalColorSpaceCache")]).then((([t,a,r,i,n,s])=>({pdfManager:e,acroForm:t instanceof Dict?t:Dict.empty,xfaDatasets:a,structTreeRoot:r,baseUrl:i,attachments:n,globalColorSpaceCache:s})),(e=>{warn(`createGlobals: "${e}".`);return null}))}static async create(e,t,a,r,i,n,s){const o=i?await this._getPag\ +eIndex(e,t,a.pdfManager):null;return a.pdfManager.ensure(this,"_create",[e,t,a,r,i,n,o,s])}static _create(e,t,a,r,i=!1,n=null,s=null,o=null){const c=e.fetchIfRef(t);if(!(c instanceof Dict))return;const{acroForm:l,pdfManager:h}=a,u=t instanceof Ref?t.toString():`annot_${r.createObjId()}`;let d=c.get("Subtype");d=d instanceof Name?d.name:null;const f={xref:e,ref:t,dict:c,subtype:d,id:u,annotationGlobals:a,collectFields:i,orphanFields:n,needAppearances:!i&&!0===l.get("NeedAppearances"),pageIndex:s,\ +evaluatorOptions:h.evaluatorOptions,pageRef:o};switch(d){case"Link":return new LinkAnnotation(f);case"Text":return new TextAnnotation(f);case"Widget":let e=getInheritableProperty({dict:c,key:"FT"});e=e instanceof Name?e.name:null;switch(e){case"Tx":return new TextWidgetAnnotation(f);case"Btn":return new ButtonWidgetAnnotation(f);case"Ch":return new ChoiceWidgetAnnotation(f);case"Sig":return new SignatureWidgetAnnotation(f)}warn(`Unimplemented widget field type "${e}", falling back to base field \ +type.`);return new WidgetAnnotation(f);case"Popup":return new PopupAnnotation(f);case"FreeText":return new FreeTextAnnotation(f);case"Line":return new LineAnnotation(f);case"Square":return new SquareAnnotation(f);case"Circle":return new CircleAnnotation(f);case"PolyLine":return new PolylineAnnotation(f);case"Polygon":return new PolygonAnnotation(f);case"Caret":return new CaretAnnotation(f);case"Ink":return new InkAnnotation(f);case"Highlight":return new HighlightAnnotation(f);case"Underline":ret\ +urn new UnderlineAnnotation(f);case"Squiggly":return new SquigglyAnnotation(f);case"StrikeOut":return new StrikeOutAnnotation(f);case"Stamp":return new StampAnnotation(f);case"FileAttachment":return new FileAttachmentAnnotation(f);default:i||warn(d?`Unimplemented annotation type "${d}", falling back to base annotation.`:"Annotation is missing the required /Subtype.");return new Annotation(f)}}static async _getPageIndex(e,t,a){try{const r=await e.fetchIfRefAsync(t);if(!(r instanceof Dict))return-\ +1;const i=r.getRaw("P");if(i instanceof Ref)try{return await a.ensureCatalog("getPageIndex",[i])}catch(e){info(`_getPageIndex -- not a valid page reference: "${e}".`)}if(r.has("Kids"))return-1;const n=await a.ensureDoc("numPages");for(let e=0;ee/255))||t}function getQuadPoints(e,t){const a=e.getArray("QuadPoints");if(!isNumberArray(a,null)||0===a.length||a.length%8>0)return null;const r=new Float32Array(a.length);for(let e=0,i=a.length;et[2]||gt[3]))return null;r.set([d,p,f,p,d,g,f,g],e)}return r}function getTransformMatrix(e,t,a){const r=new Float32Array([1/0,1/0,-1/0,-1/0]);Util.axialAlignedBoundingBox(t,a,r);const[i,n,s,o]=r;if(i===s||n===o)return[1,0,0,1,e[0],e[1]];const c=(e[2]-e[0])/(s-i),l=(e[3]-e[1])/(o-n);return[c,0,0,l,e[0]-i*c,e[1]-n*l]}class Annotation{constructor(e){const{dict:t,xref:a,annotationGlobals:r,ref:i,orphanFields:n}=e,s=n?.get(i);s&&t.set("Parent",s);this.setTitle(t.get\ +("T"));this.setContents(t.get("Contents"));this.setModificationDate(t.get("M"));this.setFlags(t.get("F"));this.setRectangle(t.getArray("Rect"));this.setColor(t.getArray("C"));this.setBorderStyle(t);this.setAppearance(t);this.setOptionalContent(t);const o=t.get("MK");this.setBorderAndBackgroundColors(o);this.setRotation(o,t);this.ref=e.ref instanceof Ref?e.ref:null;this._streams=[];this.appearance&&this._streams.push(this.appearance);const c=!!(this.flags&ee),l=!!(this.flags&te);this.data={annota\ +tionFlags:this.flags,borderStyle:this.borderStyle,color:this.color,backgroundColor:this.backgroundColor,borderColor:this.borderColor,rotation:this.rotation,contentsObj:this._contents,hasAppearance:!!this.appearance,id:e.id,modificationDate:this.modificationDate,rect:this.rectangle,subtype:e.subtype,hasOwnCanvas:!1,noRotate:!!(this.flags&Z),noHTML:c&&l,isEditable:!1,structParent:-1};if(r.structTreeRoot){let a=t.get("StructParent");this.data.structParent=a=Number.isInteger(a)&&a>=0?a:-1;r.structTr\ +eeRoot.addAnnotationIdToPage(e.pageRef,a)}if(e.collectFields){const r=t.get("Kids");if(Array.isArray(r)){const e=[];for(const t of r)t instanceof Ref&&e.push(t.toString());0!==e.length&&(this.data.kidIds=e)}this.data.actions=collectActions(a,t,ye);this.data.fieldName=this._constructFieldName(t);this.data.pageIndex=e.pageIndex}const h=t.get("IT");h instanceof Name&&(this.data.it=h.name);this._isOffscreenCanvasSupported=e.evaluatorOptions.isOffscreenCanvasSupported;this._fallbackFontDict=null;this\ +._needAppearances=!1}_hasFlag(e,t){return!!(e&t)}_buildFlags(e,t){let{flags:a}=this;if(void 0===e){if(void 0===t)return;return t?a&~Y:a&~J|Y}if(e){a|=Y;return t?a&~Q|J:a&~J|Q}a&=~(J|Q);return t?a&~Y:a|Y}_isViewable(e){return!this._hasFlag(e,K)&&!this._hasFlag(e,Q)}_isPrintable(e){return this._hasFlag(e,Y)&&!this._hasFlag(e,J)&&!this._hasFlag(e,K)}mustBeViewed(e,t){const a=e?.get(this.data.id)?.noView;return void 0!==a?!a:this.viewable&&!this._hasFlag(this.flags,J)}mustBePrinted(e){const t=e?.get\ +(this.data.id)?.noPrint;return void 0!==t?!t:this.printable}mustBeViewedWhenEditing(e,t=null){return e?!this.data.isEditable:!t?.has(this.data.id)}get viewable(){return null!==this.data.quadPoints&&(0===this.flags||this._isViewable(this.flags))}get printable(){return null!==this.data.quadPoints&&(0!==this.flags&&this._isPrintable(this.flags))}_parseStringHelper(e){const t="string"==typeof e?stringToPDFString(e):"";return{str:t,dir:t&&"rtl"===bidi(t).dir?"rtl":"ltr"}}setDefaultAppearance(e){const\ +{dict:t,annotationGlobals:a}=e,r=getInheritableProperty({dict:t,key:"DA"})||a.acroForm.get("DA");this._defaultAppearance="string"==typeof r?r:"";this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance)}setTitle(e){this._title=this._parseStringHelper(e)}setContents(e){this._contents=this._parseStringHelper(e)}setModificationDate(e){this.modificationDate="string"==typeof e?e:null}setFlags(e){this.flags=Number.isInteger(e)&&e>0?e:0;this.flags&K&&"Annotation"!==this.constructo\ +r.name&&(this.flags^=K)}hasFlag(e){return this._hasFlag(this.flags,e)}setRectangle(e){this.rectangle=lookupNormalRect(e,[0,0,0,0])}setColor(e){this.color=getRgbColor(e)}setLineEndings(e){this.lineEndings=["None","None"];if(Array.isArray(e)&&2===e.length)for(let t=0;t<2;t++){const a=e[t];if(a instanceof Name)switch(a.name){case"None":continue;case"Square":case"Circle":case"Diamond":case"OpenArrow":case"ClosedArrow":case"Butt":case"ROpenArrow":case"RClosedArrow":case"Slash":this.lineEndings[t]=a.n\ +ame;continue}warn(`Ignoring invalid lineEnding: ${a}`)}}setRotation(e,t){this.rotation=0;let a=e instanceof Dict?e.get("R")||0:t.get("Rotate")||0;if(Number.isInteger(a)&&0!==a){a%=360;a<0&&(a+=360);a%90==0&&(this.rotation=a)}}setBorderAndBackgroundColors(e){if(e instanceof Dict){this.borderColor=getRgbColor(e.getArray("BC"),null);this.backgroundColor=getRgbColor(e.getArray("BG"),null)}else this.borderColor=this.backgroundColor=null}setBorderStyle(e){this.borderStyle=new AnnotationBorderStyle;if(\ +e instanceof Dict)if(e.has("BS")){const t=e.get("BS");if(t instanceof Dict){const e=t.get("Type");if(!e||isName(e,"Border")){this.borderStyle.setWidth(t.get("W"),this.rectangle);this.borderStyle.setStyle(t.get("S"));this.borderStyle.setDashArray(t.getArray("D"))}}}else if(e.has("Border")){const t=e.getArray("Border");if(Array.isArray(t)&&t.length>=3){this.borderStyle.setHorizontalCornerRadius(t[0]);this.borderStyle.setVerticalCornerRadius(t[1]);this.borderStyle.setWidth(t[2],this.rectangle);4===\ +t.length&&this.borderStyle.setDashArray(t[3],!0)}}else this.borderStyle.setWidth(0)}setAppearance(e){this.appearance=null;const t=e.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(a instanceof BaseStream){this.appearance=a;return}if(!(a instanceof Dict))return;const r=e.get("AS");if(!(r instanceof Name&&a.has(r.name)))return;const i=a.get(r.name);i instanceof BaseStream&&(this.appearance=i)}setOptionalContent(e){this.oc=null;const t=e.get("OC");t instanceof Name?warn("setOptionalC\ +ontent: Support for /Name-entry is not implemented."):t instanceof Dict&&(this.oc=t)}async loadResources(e,t){const a=await t.dict.getAsync("Resources");a&&await ObjectLoader.load(a,e,a.xref);return a}async getOperatorList(e,t,a,r){const{hasOwnCanvas:i,id:n,rect:o}=this.data;let c=this.appearance;const l=!!(i&&a&s);if(l&&(0===this.width||0===this.height)){this.data.hasOwnCanvas=!1;return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}if(!c){if(!l)return{opList:new OperatorList,separa\ +teForm:!1,separateCanvas:!1};c=new StringStream("");c.dict=new Dict}const h=c.dict,u=await this.loadResources(Ia,c),d=lookupRect(h.getArray("BBox"),[0,0,1,1]),f=lookupMatrix(h.getArray("Matrix"),Fa),g=getTransformMatrix(o,d,f),p=new OperatorList;let m;this.oc&&(m=await e.parseMarkedContentProps(this.oc,null));void 0!==m&&p.addOp(jt,["OC",m]);p.addOp($t,[n,o,g,f,l]);await e.getOperatorList({stream:c,task:t,resources:u,operatorList:p,fallbackFontDict:this._fallbackFontDict});p.addOp(Gt,[]);void 0!\ +==m&&p.addOp(_t,[]);this.reset();return{opList:p,separateForm:!1,separateCanvas:l}}async save(e,t,a,r){return null}get overlaysTextContent(){return!1}get hasTextContent(){return!1}async extractTextContent(e,t,a){if(!this.appearance)return;const r=await this.loadResources(Ta,this.appearance),i=[],n=[];let s=null;const o={desiredSize:Math.Infinity,ready:!0,enqueue(e,t){for(const t of e.items)if(void 0!==t.str){s||=t.transform.slice(-2);n.push(t.str);if(t.hasEOL){i.push(n.join("").trimEnd());n.leng\ +th=0}}}};await e.getTextContent({stream:this.appearance,task:t,resources:r,includeMarkedContent:!0,keepWhiteSpace:!0,sink:o,viewBox:a});this.reset();n.length&&i.push(n.join("").trimEnd());if(i.length>1||i[0]){const e=this.appearance.dict,t=lookupRect(e.getArray("BBox"),null),a=lookupMatrix(e.getArray("Matrix"),null);this.data.textPosition=this._transformPoint(s,t,a);this.data.textContent=i}}_transformPoint(e,t,a){const{rect:r}=this.data;t||=[0,0,1,1];a||=[1,0,0,1,0,0];const i=getTransformMatrix(\ +r,t,a);i[4]-=r[0];i[5]-=r[1];const n=e.slice();Util.applyTransform(n,i);Util.applyTransform(n,a);return n}getFieldObject(){return this.data.kidIds?{id:this.data.id,actions:this.data.actions,name:this.data.fieldName,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,type:"",kidIds:this.data.kidIds,page:this.data.pageIndex,rotation:this.rotation}:null}reset(){for(const e of this._streams)e.reset()}_constructFieldName(e){if(!e.has("T")&&!e.has("Parent")){warn("Unknown field name,\ + falling back to empty field name.");return""}if(!e.has("Parent"))return stringToPDFString(e.get("T"));const t=[];e.has("T")&&t.unshift(stringToPDFString(e.get("T")));let a=e;const r=new RefSet;e.objId&&r.put(e.objId);for(;a.has("Parent");){a=a.get("Parent");if(!(a instanceof Dict)||a.objId&&r.has(a.objId))break;a.objId&&r.put(a.objId);a.has("T")&&t.unshift(stringToPDFString(a.get("T")))}return t.join(".")}get width(){return this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[\ +3]-this.data.rect[1]}}class AnnotationBorderStyle{constructor(){this.width=1;this.rawWidth=1;this.style=fe;this.dashArray=[3];this.horizontalCornerRadius=0;this.verticalCornerRadius=0}setWidth(e,t=[0,0,0,0]){if(e instanceof Name)this.width=0;else if("number"==typeof e){if(e>0){this.rawWidth=e;const a=(t[2]-t[0])/2,r=(t[3]-t[1])/2;if(a>0&&r>0&&(e>a||e>r)){warn(`AnnotationBorderStyle.setWidth - ignoring width: ${e}`);e=1}}this.width=e}}setStyle(e){if(e instanceof Name)switch(e.name){case"S":this.s\ +tyle=fe;break;case"D":this.style=ge;break;case"B":this.style=pe;break;case"I":this.style=me;break;case"U":this.style=be}}setDashArray(e,t=!1){if(Array.isArray(e)){let a=!0,r=!0;for(const t of e){if(!(+t>=0)){a=!1;break}t>0&&(r=!1)}if(0===e.length||a&&!r){this.dashArray=e;t&&this.setStyle(Name.get("D"))}else this.width=0}else e&&(this.width=0)}setHorizontalCornerRadius(e){Number.isInteger(e)&&(this.horizontalCornerRadius=e)}setVerticalCornerRadius(e){Number.isInteger(e)&&(this.verticalCornerRadiu\ +s=e)}}class MarkupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;if(t.has("IRT")){const e=t.getRaw("IRT");this.data.inReplyTo=e instanceof Ref?e.toString():null;const a=t.get("RT");this.data.replyType=a instanceof Name?a.name:V}let a=null;if(this.data.replyType===G){const e=t.get("IRT");this.setTitle(e.get("T"));this.data.titleObj=this._title;this.setContents(e.get("Contents"));this.data.contentsObj=this._contents;if(e.has("CreationDate")){this.setCreationDate(e.get("Creat\ +ionDate"));this.data.creationDate=this.creationDate}else this.data.creationDate=null;if(e.has("M")){this.setModificationDate(e.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;a=e.getRaw("Popup");if(e.has("C")){this.setColor(e.getArray("C"));this.data.color=this.color}else this.data.color=null}else{this.data.titleObj=this._title;this.setCreationDate(t.get("CreationDate"));this.data.creationDate=this.creationDate;a=t.getRaw("Popup");t.has("C")||(this\ +.data.color=null)}this.data.popupRef=a instanceof Ref?a.toString():null;t.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml(t.get("RC")))}setCreationDate(e){this.creationDate="string"==typeof e?e:null}_setDefaultAppearance({xref:e,extra:t,strokeColor:a,fillColor:r,blendMode:i,strokeAlpha:n,fillAlpha:s,pointsCallback:o}){const c=this.data.rect=[1/0,1/0,-1/0,-1/0],l=["q"];t&&l.push(t);a&&l.push(`${a[0]} ${a[1]} ${a[2]} RG`);r&&l.push(`${r[0]} ${r[1]} ${r[2]} rg`);const h=this.data.quadPo\ +ints||Float32Array.from([this.rectangle[0],this.rectangle[3],this.rectangle[2],this.rectangle[3],this.rectangle[0],this.rectangle[1],this.rectangle[2],this.rectangle[1]]);for(let e=0,t=h.length;e"string"==typeof e)).map((e=>stringToPDFString(e))):e instanceof Name?stringToPDFString(e.name):"string"==typeof e?stringToPDFString(e):null}hasFieldFlag(e){return!!(this.data.fieldF\ +lags&e)}_isViewable(e){return!0}mustBeViewed(e,t){return t?this.viewable:super.mustBeViewed(e,t)&&!this._hasFlag(this.flags,Q)}getRotationMatrix(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);return 0===t?Fa:getRotationMatrix(t,this.width,this.height)}getBorderAndBackgroundAppearances(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);if(!this.backgroundColor&&!this.borderColor)return"";const a=0===t||180===t?`0 0 ${this.width} ${this.height} re`:`0 0 ${\ +this.height} ${this.width} re`;let r="";this.backgroundColor&&(r=`${getPdfColor(this.backgroundColor,!0)} ${a} f `);if(this.borderColor){r+=`${this.borderStyle.width||1} w ${getPdfColor(this.borderColor,!1)} ${a} S `}return r}async getOperatorList(e,t,a,r){if(a&l&&!(this instanceof SignatureWidgetAnnotation)&&!this.data.noHTML&&!this.data.hasOwnCanvas)return{opList:new OperatorList,separateForm:!0,separateCanvas:!1};if(!this._hasText)return super.getOperatorList(e,t,a,r);const i=await this._getA\ +ppearance(e,t,a,r);if(this.appearance&&null===i)return super.getOperatorList(e,t,a,r);const n=new OperatorList;if(!this._defaultAppearance||null===i)return{opList:n,separateForm:!1,separateCanvas:!1};const o=!!(this.data.hasOwnCanvas&&a&s),c=[0,0,this.width,this.height],h=getTransformMatrix(this.data.rect,c,[1,0,0,1,0,0]);let u;this.oc&&(u=await e.parseMarkedContentProps(this.oc,null));void 0!==u&&n.addOp(jt,["OC",u]);n.addOp($t,[this.data.id,this.data.rect,h,this.getRotationMatrix(r),o]);const \ +d=new StringStream(i);await e.getOperatorList({stream:d,task:t,resources:this._fieldResources.mergedResources,operatorList:n});n.addOp(Gt,[]);void 0!==u&&n.addOp(_t,[]);return{opList:n,separateForm:!1,separateCanvas:o}}_getMKDict(e){const t=new Dict(null);e&&t.set("R",e);t.setIfArray("BC",getPdfColorArray(this.borderColor));t.setIfArray("BG",getPdfColorArray(this.backgroundColor));return t.size>0?t:null}amendSavedDict(e,t){}setValue(e,t,a,r){const{dict:i,ref:n}=function getParentToUpdate(e,t,a){\ +const r=new RefSet,i=e,n={dict:null,ref:null};for(;e instanceof Dict&&!r.has(t);){r.put(t);if(e.has("T"))break;if(!((t=e.getRaw("Parent"))instanceof Ref))return n;e=a.fetch(t)}if(e instanceof Dict&&e!==i){n.dict=e;n.ref=t}return n}(e,this.ref,a);if(i){if(!r.has(n)){const e=i.clone();e.set("V",t);r.put(n,{data:e});return e}}else e.set("V",t);return null}async save(e,t,a,r){const i=a?.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.value,o=i?.rotation;if(s===this.data.fieldValu\ +e||void 0===s){if(!this._hasValueFromXFA&&void 0===o&&void 0===n)return;s||=this.data.fieldValue}if(void 0===o&&!this._hasValueFromXFA&&Array.isArray(s)&&Array.isArray(this.data.fieldValue)&&isArrayEqual(s,this.data.fieldValue)&&void 0===n)return;void 0===o&&(o=this.rotation);let l=null;if(!this._needAppearances){l=await this._getAppearance(e,t,c,a);if(null===l&&void 0===n)return}let h=!1;if(l?.needAppearances){h=!0;l=null}const{xref:u}=e,d=u.fetchIfRef(this.ref);if(!(d instanceof Dict))return;c\ +onst f=new Dict(u);for(const e of d.getKeys())"AP"!==e&&f.set(e,d.getRaw(e));if(void 0!==n){f.set("F",n);if(null===l&&!h){const e=d.getRaw("AP");e&&f.set("AP",e)}}const g={path:this.data.fieldName,value:s},p=this.setValue(f,Array.isArray(s)?s.map(stringToAsciiOrUTF16BE):stringToAsciiOrUTF16BE(s),u,r);this.amendSavedDict(a,p||f);const m=this._getMKDict(o);m&&f.set("MK",m);r.put(this.ref,{data:f,xfa:g,needAppearances:h});if(null!==l){const e=u.getNewTemporaryRef(),t=new Dict(u);f.set("AP",t);t.set\ +("N",e);const i=this._getSaveFieldResources(u),n=new StringStream(l),s=n.dict=new Dict(u);s.setIfName("Subtype","Form");s.set("Resources",i);const c=o%180==0?[0,0,this.width,this.height]:[0,0,this.height,this.width];s.set("BBox",c);const h=this.getRotationMatrix(a);h!==Fa&&s.set("Matrix",h);r.put(e,{data:n,xfa:null,needAppearances:!1})}f.set("M",`D:${getModificationDate()}`)}async _getAppearance(e,t,a,r){if(this.data.password)return null;const n=r?.get(this.data.id);let s,o;if(n){s=n.formattedVa\ +lue||n.value;o=n.rotation}if(void 0===o&&void 0===s&&!this._needAppearances&&(!this._hasValueFromXFA||this.appearance))return null;const l=this.getBorderAndBackgroundAppearances(r);if(void 0===s){s=this.data.fieldValue;if(!s)return`/Tx BMC q ${l}Q EMC`}Array.isArray(s)&&1===s.length&&(s=s[0]);assert("string"==typeof s,"Expected `value` to be a string.");s=s.trimEnd();if(this.data.combo){const e=this.data.options.find((({exportValue:e})=>s===e));s=e?.displayValue||s}if(""===s)return`/Tx BMC q ${l\ +}Q EMC`;void 0===o&&(o=this.rotation);let h,u=-1;if(this.data.multiLine){h=s.split(/\\r\\n?|\\n/).map((e=>e.normalize("NFC")));u=h.length}else h=[s.replace(/\\r\\n?|\\n/,"").normalize("NFC")];let{width:d,height:f}=this;90!==o&&270!==o||([d,f]=[f,d]);this._defaultAppearance||(this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0 g"));let g,p,m,b=await WidgetAnnotation._getFontData(e,t,this.data.defaultAppearanceData,this._fieldResources.mergedResources);const\ + y=[];let w=!1;for(const e of h){const t=b.encodeString(e);t.length>1&&(w=!0);y.push(t.join(""))}if(w&&a&c)return{needAppearances:!0};if(w&&this._isOffscreenCanvasSupported){const a=this.data.comb?"monospace":"sans-serif",r=new FakeUnicodeFont(e.xref,a),i=r.createFontResources(h.join("")),n=i.getRaw("Font");if(this._fieldResources.mergedResources.has("Font")){const e=this._fieldResources.mergedResources.get("Font");for(const t of n.getKeys())e.set(t,n.getRaw(t))}else this._fieldResources.mergedR\ +esources.set("Font",n);const o=r.fontName.name;b=await WidgetAnnotation._getFontData(e,t,{fontName:o,fontSize:0},i);for(let e=0,t=y.length;e2)return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 ${numberToString(2)} ${numberToString(C)} Tm (${escapeS\ +tring(y[0])}) Tj ET Q EMC`;return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 0 0 Tm ${this._renderText(y[0],b,p,d,k,{shift:0},2,C)} ET Q EMC`}static async _getFontData(e,t,a,r){const i=new OperatorList,n={font:null,clone(){return this}},{fontName:s,fontSize:o}=a;await e.handleSetFont(r,[s&&Name.get(s),o],null,i,t,n,null);return n.font}_getTextWidth(e,t){return Math.sumPrecise(t.charsToGlyphs(e).map((e=>e.width)))/1e3}_computeFontSize(e,t,r,i,n){let{fontSize:s}=this.data.defaultAppearanceData,o=(s||12)*a,c=M\ +ath.round(e/o);if(!s){const roundWithTwoDigits=e=>Math.floor(100*e)/100;if(-1===n){const n=this._getTextWidth(r,i);s=roundWithTwoDigits(Math.min(e/a,t/n));c=1}else{const l=r.split(/\\r\\n?|\\n/),h=[];for(const e of l){const t=i.encodeString(e).join(""),a=i.charsToGlyphs(t),r=i.getCharPositions(t);h.push({line:t,glyphs:a,positions:r})}const isTooBig=a=>{let r=0;for(const n of h){r+=this._splitLine(null,i,a,t,n).length*a;if(r>e)return!0}return!1};c=Math.max(c,n);for(;;){o=e/c;s=roundWithTwoDigits(o/a\ +);if(!isTooBig(s))break;c++}}const{fontName:l,fontColor:h}=this.data.defaultAppearanceData;this._defaultAppearance=function createDefaultAppearance({fontSize:e,fontName:t,fontColor:a}){return`/${escapePDFName(t)} ${e} Tf ${getPdfColor(a,!0)}`}({fontSize:s,fontName:l,fontColor:h})}return[this._defaultAppearance,s,e/c]}_renderText(e,t,a,r,i,n,s,o){let c;if(1===i){c=(r-this._getTextWidth(e,t)*a)/2}else if(2===i){c=r-this._getTextWidth(e,t)*a-s}else c=s;const l=numberToString(c-n.shift);n.shift=c;re\ +turn`${l} ${o=numberToString(o)} Td (${escapeString(e)}) Tj`}_getSaveFieldResources(e){const{localResources:t,appearanceResources:a,acroFormResources:r}=this._fieldResources,i=this.data.defaultAppearanceData?.fontName;if(!i)return t||Dict.empty;for(const e of[t,a])if(e instanceof Dict){const t=e.get("Font");if(t instanceof Dict&&t.has(i))return e}if(r instanceof Dict){const a=r.get("Font");if(a instanceof Dict&&a.has(i)){const r=new Dict(e);r.set(i,a.getRaw(i));const n=new Dict(e);n.set("Font",r\ +);return Dict.merge({xref:e,dictArray:[n,t],mergeSubDicts:!0})}}return t||Dict.empty}getFieldObject(){return null}}class TextWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t}=e;if(t.has("PMD")){this.flags|=J;this.data.hidden=!0;warn("Barcodes are not supported")}this.data.hasOwnCanvas=this.data.readOnly&&!this.data.noHTML;this._hasText=!0;"string"!=typeof this.data.fieldValue&&(this.data.fieldValue="");let a=getInheritableProperty({dict:t,key:"Q"});(!Number.isIntege\ +r(a)||a<0||a>2)&&(a=null);this.data.textAlignment=a;let r=getInheritableProperty({dict:t,key:"MaxLen"});(!Number.isInteger(r)||r<0)&&(r=0);this.data.maxLen=r;this.data.multiLine=this.hasFieldFlag(ie);this.data.comb=this.hasFieldFlag(de)&&!this.data.multiLine&&!this.data.password&&!this.hasFieldFlag(le)&&0!==this.data.maxLen;this.data.doNotScroll=this.hasFieldFlag(ue);const{data:{actions:i}}=this;if(!i)return;const n=/^AF(Date|Time)_(?:Keystroke|Format)(?:Ex)?\\([\'"]?([^\'"]+)[\'"]?\\);$/;let s=!1;(1\ +===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Format[0])&&n.test(i.Keystroke[0])||0===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Keystroke[0])||0===i.Keystroke?.length&&1===i.Format?.length&&n.test(i.Format[0]))&&(s=!0);const o=[];i.Format&&o.push(...i.Format);i.Keystroke&&o.push(...i.Keystroke);if(s){delete i.Keystroke;i.Format=o}for(const e of o){const t=e.match(n);if(!t)continue;const a="Date"===t[1];let r=t[2];const i=parseInt(r,10);isNaN(i)||Math.floor(Math.log10(i))+1!==t\ +[2].length||(r=(a?Pn:Ln)[i]??r);this.data.datetimeFormat=r;if(!s)break;if(a){if(/HH|MM|ss|h/.test(r)){this.data.datetimeType="datetime-local";this.data.timeStep=/ss/.test(r)?1:60}else this.data.datetimeType="date";break}this.data.datetimeType="time";this.data.timeStep=/ss/.test(r)?1:60;break}}get hasTextContent(){return!!this.appearance&&!this._needAppearances}_getCombAppearance(e,t,a,r,i,n,s,o,c,l,h){const u=i/this.data.maxLen,d=this.getBorderAndBackgroundAppearances(h),f=[],g=t.getCharPosition\ +s(a);for(const[e,t]of g)f.push(`(${escapeString(a.substring(e,t))}) Tj`);const p=f.join(` ${numberToString(u)} 0 Td `);return`/Tx BMC q ${d}BT `+e+` 1 0 0 1 ${numberToString(s)} ${numberToString(o+c)} Tm ${p} ET Q EMC`}_getMultilineAppearance(e,t,a,r,i,n,s,o,c,l,h,u){const d=[],f=i-2*o,g={shift:0};for(let e=0,n=t.length;er){c.push(e.substring(d,a));d=a;f=p;l=-1;u=-1}else{f+=p;l=a;h=i;u=t}else if(f+p>r)if(-1!==l){c.\ +push(e.substring(d,h));d=h;t=u+1;l=-1;f=0}else{c.push(e.substring(d,a));d=a;f=p}else f+=p}dt?`\\\\${t}`:"\\\\s+"));new RegExp(`^\\\\s*${n}\\\\s*$`).test(this.data.fieldValue)&&(this.data.textContent=this.data.fieldValue.split("\\\ +n"))}getFieldObject(){return{id:this.data.id,value:this.data.fieldValue,defaultValue:this.data.defaultFieldValue||"",multiline:this.data.multiLine,password:this.data.password,charLimit:this.data.maxLen,comb:this.data.comb,editable:!this.data.readOnly,hidden:this.data.hidden,name:this.data.fieldName,rect:this.data.rect,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,datetimeFormat:this.data.datetimeFor\ +mat,hasDatetimeHTML:!!this.data.datetimeType,type:"text"}}}class ButtonWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.checkedAppearance=null;this.uncheckedAppearance=null;const t=this.hasFieldFlag(se),a=this.hasFieldFlag(oe);this.data.checkBox=!t&&!a;this.data.radioButton=t&&!a;this.data.pushButton=a;this.data.isTooltipOnly=!1;if(this.data.checkBox)this._processCheckBox(e);else if(this.data.radioButton)this._processRadioButton(e);else if(this.data.pushButton){this.data.ha\ +sOwnCanvas=!0;this.data.noHTML=!1;this._processPushButton(e)}else warn("Invalid field flags for button widget annotation")}async getOperatorList(e,t,a,r){if(this.data.pushButton)return super.getOperatorList(e,t,a,!1,r);let i=null,n=null;if(r){const e=r.get(this.data.id);i=e?e.value:null;n=e?e.rotation:null}if(null===i&&this.appearance)return super.getOperatorList(e,t,a,r);null==i&&(i=this.data.checkBox?this.data.fieldValue===this.data.exportValue:this.data.fieldValue===this.data.buttonValue);con\ +st s=i?this.checkedAppearance:this.uncheckedAppearance;if(s){const i=this.appearance,o=lookupMatrix(s.dict.getArray("Matrix"),Fa);n&&s.dict.set("Matrix",this.getRotationMatrix(r));this.appearance=s;const c=super.getOperatorList(e,t,a,r);this.appearance=i;s.dict.set("Matrix",o);return c}return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}async save(e,t,a,r){this.data.checkBox?this._saveCheckbox(e,t,a,r):this.data.radioButton&&this._saveRadioButton(e,t,a,r)}async _saveCheckbox(e,t,a,\ +r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.exportValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===s&&(s=this.rotation);void 0===o&&(o=this.data.fieldValue===this.data.exportValue);const l={path:this.data.fieldName,value:o?this.data.exportValue:""},h=Name.get(o?this.data.exportValue:"Off");t\ +his.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}async _saveRadioButton(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.buttonValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceo\ +f Dict))return;c=c.clone();void 0===o&&(o=this.data.fieldValue===this.data.buttonValue);void 0===s&&(s=this.rotation);const l={path:this.data.fieldName,value:o?this.data.buttonValue:""},h=Name.get(o?this.data.buttonValue:"Off");o&&this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}_getDefaultCheckedAppearance(e,t){const{width:a,height:r}=this,i=[0,\ +0,a,r],n=.8*Math.min(a,r);let s,o;if("check"===t){s={width:.755*n,height:.705*n};o="3"}else if("disc"===t){s={width:.791*n,height:.705*n};o="l"}else unreachable(`_getDefaultCheckedAppearance - unsupported type: ${t}`);const c=`q BT /PdfJsZaDb ${n} Tf 0 g ${numberToString((a-s.width)/2)} ${numberToString((r-s.height)/2)} Td (${o}) Tj ET Q`,l=new Dict(e.xref);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Matrix",[1,0,0,1,0,0]);l.set("Length"\ +,c.length);const h=new Dict(e.xref),u=new Dict(e.xref);u.set("PdfJsZaDb",this.fallbackFontDict);h.set("Font",u);l.set("Resources",h);this.checkedAppearance=new StringStream(c);this.checkedAppearance.dict=l;this._streams.push(this.checkedAppearance)}_processCheckBox(e){const t=e.dict.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(!(a instanceof Dict))return;const r=this._decodeFormValue(e.dict.get("AS"));"string"==typeof r&&(this.data.fieldValue=r);const i=null!==this.data.fieldVa\ +lue&&"Off"!==this.data.fieldValue?this.data.fieldValue:"Yes",n=this._decodeFormValue(a.getKeys());if(0===n.length)n.push("Off",i);else if(1===n.length)"Off"===n[0]?n.push(i):n.unshift("Off");else if(n.includes(i)){n.length=0;n.push("Off",i)}else{const e=n.find((e=>"Off"!==e));n.length=0;n.push("Off",e)}n.includes(this.data.fieldValue)||(this.data.fieldValue="Off");this.data.exportValue=n[1];const s=a.get(this.data.exportValue);this.checkedAppearance=s instanceof BaseStream?s:null;const o=a.get("\ +Off");this.uncheckedAppearance=o instanceof BaseStream?o:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"check");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processRadioButton(e){this.data.buttonValue=null;const t=e.dict.get("Parent");if(t instanceof Dict){this.parent=e.dict.getRaw("Parent");co\ +nst a=t.get("V");a instanceof Name&&(this.data.fieldValue=this._decodeFormValue(a))}const a=e.dict.get("AP");if(!(a instanceof Dict))return;const r=a.get("N");if(!(r instanceof Dict))return;for(const e of r.getKeys())if("Off"!==e){this.data.buttonValue=this._decodeFormValue(e);break}const i=r.get(this.data.buttonValue);this.checkedAppearance=i instanceof BaseStream?i:null;const n=r.get("Off");this.uncheckedAppearance=n instanceof BaseStream?n:null;this.checkedAppearance?this._streams.push(this.c\ +heckedAppearance):this._getDefaultCheckedAppearance(e,"disc");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processPushButton(e){const{dict:t,annotationGlobals:a}=e;if(t.has("A")||t.has("AA")||this.data.alternativeText){this.data.isTooltipOnly=!t.has("A")&&!t.has("AA");Catalog.parseDestDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAtt\ +achments:a.attachments})}else warn("Push buttons without action dictionaries are not supported")}getFieldObject(){let e,t="button";if(this.data.checkBox){t="checkbox";e=this.data.exportValue}else if(this.data.radioButton){t="radiobutton";e=this.data.buttonValue}return{id:this.data.id,value:this.data.fieldValue||"Off",defaultValue:this.data.defaultFieldValue,exportValues:e,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,hidden:this.data.hidden,actions:this.data.actions,p\ +age:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:t}}get fallbackFontDict(){const e=new Dict;e.setIfName("BaseFont","ZapfDingbats");e.setIfName("Type","FallbackType");e.setIfName("Subtype","FallbackType");e.setIfName("Encoding","ZapfDingbatsEncoding");return shadow(this,"fallbackFontDict",e)}}class ChoiceWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.indices=t.getArray("I");this\ +.hasIndices=Array.isArray(this.indices)&&this.indices.length>0;this.data.options=[];const r=getInheritableProperty({dict:t,key:"Opt"});if(Array.isArray(r))for(let e=0,t=r.length;e=0&&t0&&(this.data.options=this.data.fieldValue.map((e=>({exportValue:e,displayValue:e}))));this.data.combo=this.hasFieldFlag(ce);this.data.multiSelect=this.hasFieldFlag(he);this._hasText=!0}getFieldObject(){const e=this.data.combo?"combobox":"listbox",t=this.data.\ +fieldValue.length>0?this.data.fieldValue[0]:null;return{id:this.data.id,value:t,defaultValue:this.data.defaultFieldValue,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,numItems:this.data.fieldValue.length,multipleSelection:this.data.multiSelect,hidden:this.data.hidden,actions:this.data.actions,items:this.data.options,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:e}}amendSavedDict(e,t){if(!this\ +.hasIndices)return;let a=e?.get(this.data.id)?.value;Array.isArray(a)||(a=[a]);const r=[],{options:i}=this.data;for(let e=0,t=0,n=i.length;ea){a=r;t=e}}[f,g]=this._computeFontSize(e,c-4,t,d,-1)}const p=g*a,m=(p-g)/2,b=Math.floor(l/p);let y=0;if(u.length>0){const e=Math.min(...u),t=Math.max(...u);y=Math.max(0,t-b+1);y>e&&(y=e)}const w=Math.min(y+b+1,h),x=["/Tx BMC q",`1 1 ${c} ${l} re W n`];if(u.length){x.push("0.600006 0.756866 0.854904 rg");for(const e of u)y<=e&&ee.trimEnd()));const{coords:e,bbox:t,matrix:r}=FakeUnicodeFont.getFirstPositionInfo(this.rectangle,this.rotation,a);this.data.textPosition=this._transformPoint(e,t,r)}if(this._isOffscreenCanvasSupported){const i=e.dict.get("CA"),n=new FakeUnicodeFont(r,"sans-serif");this.appearance=n.createAppearance(this._contents.str,this.rectangle,this.rotation,a,t,i);this._streams.push(this.appearance)}else warn("FreeTextAnnotation: OffscreenCanvas is not supported, an\ +notation may not render correctly.")}}get hasTextContent(){return this._hasAppearance}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,fontSize:s,oldAnnotation:o,rect:c,rotation:l,user:h,value:u}=e,d=o||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("FreeText"));d.set(o?"M":"CreationDate",`D:${getModificationDate(n)}`);o&&d.delete("RC");d.setIfArray("Rect",c);const f=`/Helv ${s} Tf ${getPdfColor(i,!0)}`;d.set("DA",f);d.setIfDefined("Conten\ +ts",stringToAsciiOrUTF16BE(u));d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,r){const{baseFontRef:i,evaluator:n,task:s}=r,{color:o,fontSize:c,rect:l,rotation:h,value:u}=e;if(!o)return null;const d=new Dict(t),f=new Dict(t);if(i)f.set("Helv",i);else{const e=new Dict(t);e.setIfName("BaseFont","Helvetica")\ +;e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");f.set("Helv",e)}d.set("Font",f);const g=await WidgetAnnotation._getFontData(n,s,{fontName:"Helv",fontSize:c},d),[p,m,b,y]=l;let w=b-p,x=y-m;h%180!=0&&([w,x]=[x,w]);const S=u.split("\\n"),k=c/1e3;let C=-1/0;const v=[];for(let e of S){const t=g.encodeString(e);if(t.length>1)return null;e=t.join("");v.push(e);let a=0;const r=g.charsToGlyphs(e);for(const e of r)a+=e.width*k;C=Math.max(C,a)}let F=1;C>w\ +&&(F=w/C);let T=1;const O=a*c,M=1*c,D=O*S.length;D>x&&(T=x/D);const R=c*Math.min(F,T);let N,E,L;switch(h){case 0:L=[1,0,0,1];E=[l[0],l[1],w,x];N=[l[0],l[3]-M];break;case 90:L=[0,1,-1,0];E=[l[1],-l[2],w,x];N=[l[1],-l[0]-M];break;case 180:L=[-1,0,0,-1];E=[-l[2],-l[3],w,x];N=[-l[2],-l[1]-M];break;case 270:L=[0,-1,1,0];E=[-l[3],l[0],w,x];N=[-l[3],l[2]-M]}const j=["q",`${L.join(" ")} 0 0 cm`,`${E.join(" ")} re W n`,"BT",`${getPdfColor(o,!0)}`,`0 Tc /Helv ${numberToString(R)} Tf`];j.push(`${N.join(" "\ +)} Td (${escapeString(v[0])}) Tj`);const _=numberToString(O);for(let e=1,t=v.length;e{e.push(`${r[0]} ${r[1]} m`,`${r[2]} ${r[3]} l`,"S");return[t[0]-o,t[7]-o,t[2]+o,t[3]+o]}})}}}class SquareAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=D;this.data.hasOwnCanvas=this.data.noRotate\ +;this.data.noHTML=!1;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[4]+this.borderStyle.width/2,r=t[5]+this.borderStyle.width/2,n=t[6]-t[4]-this.borderStyle.width,s=t[3]-t[7]-this.borderStyle.width;e.push\ +(`${a} ${r} ${n} ${s} re`);i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class CircleAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=R;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;const s=4/3*Math.tan(Math.PI/8);this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,st\ +rokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[0]+this.borderStyle.width/2,r=t[1]-this.borderStyle.width/2,n=t[6]-this.borderStyle.width/2,o=t[7]+this.borderStyle.width/2,c=a+(n-a)/2,l=r+(o-r)/2,h=(n-a)/2*s,u=(o-r)/2*s;e.push(`${c} ${o} m`,`${c+h} ${o} ${n} ${l+u} ${n} ${l} c`,`${n} ${l-u} ${c+h} ${r} ${c} ${r} c`,`${c-h} ${r} ${a} ${l-u} ${a} ${l} c`,`${a} ${l+u} ${c-h} ${o} ${c} ${o} c`,"h");i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class Po\ +lylineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=E;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;this.data.vertices=null;if(!(this instanceof PolygonAnnotation)){this.setLineEndings(t.getArray("LE"));this.data.lineEndings=this.lineEndings}const r=t.getArray("Vertices");if(!isNumberArray(r,null))return;const i=this.data.vertices=Float32Array.from(r);if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=\ +t.get("CA");let n,s=getRgbColor(t.getArray("IC"),null);s&&(s=getPdfColorArray(s));n=s?this.color?s.every(((t,a)=>t===e[a]))?"f":"B":"f":"S";const o=this.borderStyle.width||1,c=2*o,l=[1/0,1/0,-1/0,-1/0];for(let e=0,t=i.length;e{for(let t=0,a=i.length;t<\ +a;t+=2)e.push(`${i[t]} ${i[t+1]} ${0===t?"m":"l"}`);e.push(n);return[t[0],t[7],t[2],t[3]]}})}}}class PolygonAnnotation extends PolylineAnnotation{constructor(e){super(e);this.data.annotationType=N}}class CaretAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.annotationType=q}}class InkAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const{dict:t,xref:a}=e;this.data.annotationType=H;this.data.inkLists=[];\ +this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;this.data.opacity=t.get("CA")||1;const r=t.getArray("InkList");if(Array.isArray(r)){for(let e=0,t=r.length;e{for(const t of this.data.inkLists){for(let a=0,r=t.length;a0){const e=new Dict(t);g.set("BS",e);e.set("W",d)}g.setIfArray("C",getPdfColorArray(n));g.setIfNumber("CA",o);if(r||a){const e=new Dict(t);g.set("AP",e);e.set("N",a||r)}return g}static async createNewAppearanceStream(e,t,a){if(e.outlines)return this.createNewAppearanceStreamForHighlight(e,t,a);const{color:r,rect:i,paths:n,thickness:s,opacity:o}=e;if(!r)return null;const c=[`${s} w 1 J 1 j`,`${getPdfColor(r,!1)}`];1!==o&&c.push("/R0 gs");for(const e of n.lines){c.push(`${numberToString(e\ +[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t{e.push(`${t[0]} ${t[1]} m`,`${t[2]} ${t[3]} l`,`${t[6]} ${t[7]} l`,`${t[4]} ${t[5]} l`,"f");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,oldAnnotation:s,opacity:o,rect:c,rotation:l,user:h,quadPoints:u}=e,d=s||new Dict(t);d.setIfNotExists("Type",N\ +ame.get("Annot"));d.setIfNotExists("Subtype",Name.get("Highlight"));d.set(s?"M":"CreationDate",`D:${getModificationDate(n)}`);d.setIfArray("Rect",c);d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfArray("QuadPoints",u);d.setIfArray("C",getPdfColorArray(i));d.setIfNumber("CA",o);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,a){const{color:r,rec\ +t:i,outlines:n,opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"],c=[];for(const e of n){c.length=0;c.push(`${numberToString(e[0])} ${numberToString(e[1])} m`);for(let t=2,a=e.length;t{e.push(`${t[4]} ${t[5]+1.3} m`,`${t[6]} ${t[7]+1.3} l`,"S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class SquigglyAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=_;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDe\ +faultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{const a=(t[1]-t[5])/6;let r=a,i=t[4];const n=t[5],s=t[6];e.push(`${i} ${n+r} m`);do{i+=2;r=0===r?a:0;e.push(`${i} ${n+r} l`)}while(i{e.push((t[0]+t[4])/2+" "+(t[1]+t[5])/2+" m",(t[2]+t[6])/2+" "+(t[3]+t[7])/2+" l","S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class StampAnnotation extends MarkupAnnotation{#pe=null;constructor(e){super(e);this.data.annotationType=X;this.data.hasOw\ +nCanvas=this.data.noRotate;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1}mustBeViewedWhenEditing(e,t=null){if(e){if(!this.data.isEditable)return!0;this.#pe??=this.data.hasOwnCanvas;this.data.hasOwnCanvas=!0;return!0}if(null!==this.#pe){this.data.hasOwnCanvas=this.#pe;this.#pe=null}return!t?.has(this.data.id)}static async createImage(e,t){const{width:a,height:r}=e,i=new OffscreenCanvas(a,r),n=i.getContext("2d",{alpha:!0});n.drawImage(e,0,0);const s=n.getImageData(0,0,a,r).data,o=new \ +Uint32Array(s.buffer),c=o.some(FeatureTest.isLittleEndian?e=>e>>>24!=255:e=>!!(255&~e));if(c){n.fillStyle="white";n.fillRect(0,0,a,r);n.drawImage(e,0,0)}const l=i.convertToBlob({type:"image/jpeg",quality:1}).then((e=>e.arrayBuffer())),h=Name.get("XObject"),u=Name.get("Image"),d=new Dict(t);d.set("Type",h);d.set("Subtype",u);d.set("BitsPerComponent",8);d.setIfName("ColorSpace","DeviceRGB");d.setIfName("Filter","DCTDecode");d.set("BBox",[0,0,a,r]);d.set("Width",a);d.set("Height",r);let f=null;if(c\ +){const e=new Uint8Array(o.length);if(FeatureTest.isLittleEndian)for(let t=0,a=o.length;t>>24;else for(let t=0,a=o.length;t=0&&n<=1?n:null}}const pc={get r(){return shadow(this,"r",new Uint8Array([7,12,17,22,7,12,17,22,7,12,17,22,7,12,17,22,5,9,14,20,5,9,14,20,5,9,14,20,5,9,14,20,4,11,16,23,4,11,16,23,4,11,16,23,4,11,16,23,6,10,15,21,6,10,15,21,6,10,15,21,6,10,15,21]))},get k(){return shadow(this,"k",new Int32Array([-680876936,-389564586,606105819,-1044525330,-176418897,1200080426,-1473231341,-45705983,1770035416,-1958414417,-42063,-1990404162,1804603682,-40341101,\ +-1502002290,1236535329,-165796510,-1069501632,643717713,-373897302,-701558691,38016083,-660478335,-405537848,568446438,-1019803690,-187363961,1163531501,-1444681467,-51403784,1735328473,-1926607734,-378558,-2022574463,1839030562,-35309556,-1530992060,1272893353,-155497632,-1094730640,681279174,-358537222,-722521979,76029189,-640364487,-421815835,530742520,-995338651,-198630844,1126891415,-1416354905,-57434055,1700485571,-1894986606,-1051523,-2054922799,1873313359,-30611744,-1560198380,1309151649\ +,-145523070,-1120210379,718787259,-343485551]))}};function calculateMD5(e,t,a){let r=1732584193,i=-271733879,n=-1732584194,s=271733878;const o=a+72&-64,c=new Uint8Array(o);let l,h;for(l=0;l>5&255;c[l++]=a>>13&255;c[l++]=a>>21&255;c[l++]=a>>>29&255;l+=3;const d=new Int32Array(16),{k:f,r:g}=pc;for(l=0;l>>32-n)|0;a=r}r=r+a|0;i=i+o|0;n=n+u|0;s=s+p|0}return new Uint8Array([255&r,r>>8&255,r>>16&255,r>>>24&255,255&i,i>>8&255,i>>16&255,i>>>24&255,255&n,n>>8&255,n>>16&255,n>>>24&255,255&s,s>>8&255,s>>16&255,s>>>24&255])}function decodeString(e){try{return stringToUTF8String(e)}catch(t){warn(`UTF-8 decoding failed: "${t}".`);return e}}class\ + DatasetXMLParser extends SimpleXMLParser{constructor(e){super(e);this.node=null}onEndElement(e){const t=super.onEndElement(e);if(t&&"xfa:datasets"===e){this.node=t;throw new Error("Aborting DatasetXMLParser.")}}}class DatasetReader{constructor(e){if(e.datasets)this.node=new SimpleXMLParser({hasAttributes:!0}).parseFromString(e.datasets).documentElement;else{const t=new DatasetXMLParser({hasAttributes:!0});try{t.parseFromString(e["xdp:xdp"])}catch{}this.node=t.node}}getValue(e){if(!this.node||!e\ +)return"";const t=this.node.searchNode(parseXFAPath(e),0);if(!t)return"";const a=t.firstChild;return"value"===a?.nodeName?t.children.map((e=>decodeString(e.textContent))):decodeString(t.textContent)}}class SingleIntersector{#be;#ye=1/0;#we=1/0;#xe=-1/0;#Se=-1/0;#Ae=null;#ke=[];#Ce=[];#ve=-1;#Fe=!1;constructor(e){this.#be=e;const t=e.data.quadPoints;if(t){for(let e=0,a=t.length;e8&&(this.#Ae=t)}else[this.#ye,this.#we,this.#xe,this.#Se]=e.data.rect}overlaps(e){return!(this.#ye>=e.#xe||this.#xe<=e.#ye||this.#we>=e.#Se||this.#Se<=e.#we)}#Ie(e,t){if(this.#ye>=e||this.#xe<=e||this.#we>=t||this.#Se<=t)return!1;const a=this.#Ae;if(!a)return!0;if(this.#ve>=0){const r=this.#ve;if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t))return!0;this.#ve=-1}for(let r=0,i=a.length;r=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t)){this.#ve=r;return!0}\ +return!1}addGlyph(e,t,a){if(!this.#Ie(e,t)){this.disableExtraChars();return!1}if(this.#Ce.length>0){this.#ke.push(this.#Ce.join(""));this.#Ce.length=0}this.#ke.push(a);this.#Fe=!0;return!0}addExtraChar(e){this.#Fe&&this.#Ce.push(e)}disableExtraChars(){if(this.#Fe){this.#Fe=!1;this.#Ce.length=0}}setText(){this.#be.data.overlaidText=this.#ke.join("")}}class Intersector{#Te=new Map;constructor(e){for(const t of e){if(!t.data.quadPoints&&!t.data.rect)continue;const e=new SingleIntersector(t);for(con\ +st[t,a]of this.#Te)t.overlaps(e)&&(a?a.add(e):this.#Te.set(t,new Set([e])));this.#Te.set(e,null)}}addGlyph(e,t,a,r){const i=e[4]+t/2,n=e[5]+a/2;let s;for(const[e,t]of this.#Te)s?s.has(e)?e.addGlyph(i,n,r):e.disableExtraChars():e.addGlyph(i,n,r)&&(s=t)}addExtraChar(e){for(const t of this.#Te.keys())t.addExtraChar(e)}setText(){for(const e of this.#Te.keys())e.setText()}}class Word64{constructor(e,t){this.high=0|e;this.low=0|t}and(e){this.high&=e.high;this.low&=e.low}xor(e){this.high^=e.high;this.l\ +ow^=e.low}shiftRight(e){if(e>=32){this.low=this.high>>>e-32|0;this.high=0}else{this.low=this.low>>>e|this.high<<32-e;this.high=this.high>>>e|0}}rotateRight(e){let t,a;if(32&e){a=this.low;t=this.high}else{t=this.low;a=this.high}e&=31;this.low=t>>>e|a<<32-e;this.high=a>>>e|t<<32-e}not(){this.high=~this.high;this.low=~this.low}add(e){const t=(this.low>>>0)+(e.low>>>0);let a=(this.high>>>0)+(e.high>>>0);t>4294967295&&(a+=1);this.low=0|t;this.high=0|a}copyTo(e,t){e[t]=this.high>>>24&255;e[t+1]=this.h\ +igh>>16&255;e[t+2]=this.high>>8&255;e[t+3]=255&this.high;e[t+4]=this.low>>>24&255;e[t+5]=this.low>>16&255;e[t+6]=this.low>>8&255;e[t+7]=255&this.low}assign(e){this.high=e.high;this.low=e.low}}const mc={get k(){return shadow(this,"k",[new Word64(1116352408,3609767458),new Word64(1899447441,602891725),new Word64(3049323471,3964484399),new Word64(3921009573,2173295548),new Word64(961987163,4081628472),new Word64(1508970993,3053834265),new Word64(2453635748,2937671579),new Word64(2870763221,36646095\ +60),new Word64(3624381080,2734883394),new Word64(310598401,1164996542),new Word64(607225278,1323610764),new Word64(1426881987,3590304994),new Word64(1925078388,4068182383),new Word64(2162078206,991336113),new Word64(2614888103,633803317),new Word64(3248222580,3479774868),new Word64(3835390401,2666613458),new Word64(4022224774,944711139),new Word64(264347078,2341262773),new Word64(604807628,2007800933),new Word64(770255983,1495990901),new Word64(1249150122,1856431235),new Word64(1555081692,317521\ +8132),new Word64(1996064986,2198950837),new Word64(2554220882,3999719339),new Word64(2821834349,766784016),new Word64(2952996808,2566594879),new Word64(3210313671,3203337956),new Word64(3336571891,1034457026),new Word64(3584528711,2466948901),new Word64(113926993,3758326383),new Word64(338241895,168717936),new Word64(666307205,1188179964),new Word64(773529912,1546045734),new Word64(1294757372,1522805485),new Word64(1396182291,2643833823),new Word64(1695183700,2343527390),new Word64(1986661051,10\ +14477480),new Word64(2177026350,1206759142),new Word64(2456956037,344077627),new Word64(2730485921,1290863460),new Word64(2820302411,3158454273),new Word64(3259730800,3505952657),new Word64(3345764771,106217008),new Word64(3516065817,3606008344),new Word64(3600352804,1432725776),new Word64(4094571909,1467031594),new Word64(275423344,851169720),new Word64(430227734,3100823752),new Word64(506948616,1363258195),new Word64(659060556,3750685593),new Word64(883997877,3785050280),new Word64(958139571,3\ +318307427),new Word64(1322822218,3812723403),new Word64(1537002063,2003034995),new Word64(1747873779,3602036899),new Word64(1955562222,1575990012),new Word64(2024104815,1125592928),new Word64(2227730452,2716904306),new Word64(2361852424,442776044),new Word64(2428436474,593698344),new Word64(2756734187,3733110249),new Word64(3204031479,2999351573),new Word64(3329325298,3815920427),new Word64(3391569614,3928383900),new Word64(3515267271,566280711),new Word64(3940187606,3454069534),new Word64(41186\ +30271,4000239992),new Word64(116418474,1914138554),new Word64(174292421,2731055270),new Word64(289380356,3203993006),new Word64(460393269,320620315),new Word64(685471733,587496836),new Word64(852142971,1086792851),new Word64(1017036298,365543100),new Word64(1126000580,2618297676),new Word64(1288033470,3409855158),new Word64(1501505948,4234509866),new Word64(1607167915,987167468),new Word64(1816402316,1246189591)])}};function ch(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.not();i.and(r);e.xor(i\ +)}function maj(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.and(r);e.xor(i);i.assign(a);i.and(r);e.xor(i)}function sigma(e,t,a){e.assign(t);e.rotateRight(28);a.assign(t);a.rotateRight(34);e.xor(a);a.assign(t);a.rotateRight(39);e.xor(a)}function sigmaPrime(e,t,a){e.assign(t);e.rotateRight(14);a.assign(t);a.rotateRight(18);e.xor(a);a.assign(t);a.rotateRight(41);e.xor(a)}function littleSigma(e,t,a){e.assign(t);e.rotateRight(1);a.assign(t);a.rotateRight(8);e.xor(a);a.assign(t);a.shiftRight(7);e.xor\ +(a)}function littleSigmaPrime(e,t,a){e.assign(t);e.rotateRight(19);a.assign(t);a.rotateRight(61);e.xor(a);a.assign(t);a.shiftRight(6);e.xor(a)}function calculateSHA512(e,t,a,r=!1){let i,n,s,o,c,l,h,u;if(r){i=new Word64(3418070365,3238371032);n=new Word64(1654270250,914150663);s=new Word64(2438529370,812702999);o=new Word64(355462360,4144912697);c=new Word64(1731405415,4290775857);l=new Word64(2394180231,1750603025);h=new Word64(3675008525,1694076839);u=new Word64(1203062813,3204075428)}else{i=ne\ +w Word64(1779033703,4089235720);n=new Word64(3144134277,2227873595);s=new Word64(1013904242,4271175723);o=new Word64(2773480762,1595750129);c=new Word64(1359893119,2917565137);l=new Word64(2600822924,725511199);h=new Word64(528734635,4215389547);u=new Word64(1541459225,327033209)}const d=128*Math.ceil((a+17)/128),f=new Uint8Array(d);let g,p;for(g=0;g>>29&255;f[g++]=a>>21&255;f[g++]=a>>13&255;f[g++]=a>>5&255;f[g++]=a<<3&255;cons\ +t b=new Array(80);for(g=0;g<80;g++)b[g]=new Word64(0,0);const{k:y}=mc;let w=new Word64(0,0),x=new Word64(0,0),S=new Word64(0,0),k=new Word64(0,0),C=new Word64(0,0),v=new Word64(0,0),F=new Word64(0,0),T=new Word64(0,0);const O=new Word64(0,0),M=new Word64(0,0),D=new Word64(0,0),R=new Word64(0,0);let N,E;for(g=0;g>>t|e<<32-t}function calculate_sha256_ch(\ +e,t,a){return e&t^~e&a}function calculate_sha256_maj(e,t,a){return e&t^e&a^t&a}function calculate_sha256_sigma(e){return rotr(e,2)^rotr(e,13)^rotr(e,22)}function calculate_sha256_sigmaPrime(e){return rotr(e,6)^rotr(e,11)^rotr(e,25)}function calculate_sha256_littleSigma(e){return rotr(e,7)^rotr(e,18)^e>>>3}function calculateSHA256(e,t,a){let r=1779033703,i=3144134277,n=1013904242,s=2773480762,o=1359893119,c=2600822924,l=528734635,h=1541459225;const u=64*Math.ceil((a+9)/64),d=new Uint8Array(u);let\ + f,g;for(f=0;f>>29&255;d[f++]=a>>21&255;d[f++]=a>>13&255;d[f++]=a>>5&255;d[f++]=a<<3&255;const m=new Uint32Array(64),{k:b}=bc;for(f=0;f>>10)+m[g-7]+calculate_sha256_littleSigma(m[g-15])+m[g-16]|0;let e,t,a=r,u=i,p=n,w=s,x=o,S=c,k=l,C=h;for(g=0;g<64;++g){e=C+calculate_sha256_sigmaPrime(x)+calculate_sha256_ch\ +(x,S,k)+b[g]+m[g];t=calculate_sha256_sigma(a)+calculate_sha256_maj(a,u,p);C=k;k=S;S=x;x=w+e|0;w=p;p=u;u=a;a=e+t|0}r=r+a|0;i=i+u|0;n=n+p|0;s=s+w|0;o=o+x|0;c=c+S|0;l=l+k|0;h=h+C|0}var y;return new Uint8Array([r>>24&255,r>>16&255,r>>8&255,255&r,i>>24&255,i>>16&255,i>>8&255,255&i,n>>24&255,n>>16&255,n>>8&255,255&n,s>>24&255,s>>16&255,s>>8&255,255&s,o>>24&255,o>>16&255,o>>8&255,255&o,c>>24&255,c>>16&255,c>>8&255,255&c,l>>24&255,l>>16&255,l>>8&255,255&l,h>>24&255,h>>16&255,h>>8&255,255&h])}class Decry\ +ptStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.decrypt=a;this.nextChunk=null;this.initialized=!1}readBlock(){let e;if(this.initialized)e=this.nextChunk;else{e=this.str.getBytes(512);this.initialized=!0}if(!e?.length){this.eof=!0;return}this.nextChunk=this.str.getBytes(512);const t=this.nextChunk?.length>0;e=(0,this.decrypt)(e,!t);const a=this.bufferLength,r=a+e.length;this.ensureBuffer(r).set(e,a);this.bufferLength=r}}class ARCFourCipher{constructor(e)\ +{this.a=0;this.b=0;const t=new Uint8Array(256),a=e.length;for(let e=0;e<256;++e)t[e]=e;for(let r=0,i=0;r<256;++r){const n=t[r];i=i+n+e[r%a]&255;t[r]=t[i];t[i]=n}this.s=t}encryptBlock(e){let t=this.a,a=this.b;const r=this.s,i=e.length,n=new Uint8Array(i);for(let s=0;st<128?t<<1:t<<1^27));constructor(){this.buffer=new Uint8Array(16);this.bufferPosition=0}_expandKey(e){unreachable("Cannot call `_expandKey` on the base class")}_decrypt(e,t){let a,r,i;const n=new Uint8Array(16);n.set(e);for(let e=0,a=this._keySize;e<16;++e,++a)n[e]^=t\ +[a];for(let e=this._cyclesOfRepetition-1;e>=1;--e){a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e)n[e]=this._inv_s[n[e]];for(let a=0,r=16*e;a<16;++a,++r)n[a]^=t[r];for(let e=0;e<16;e+=4){const t=this._mix[n[e]],r=this._mix[n[e+1]],i=this._mix[n[e+2]],s=this._mix[n[e+3]];a=t^r>>>8^r<<24^i>>>16^i<<16^s>>>24^s<<8;n[e]=a>>>24&255;n[e+1]=a>>16&255;n[e+2]=a>>8&255;n[e+3]=255&\ +a}}a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e){n[e]=this._inv_s[n[e]];n[e]^=t[e]}return n}_encrypt(e,t){const a=this._s;let r,i,n;const s=new Uint8Array(16);s.set(e);for(let e=0;e<16;++e)s[e]^=t[e];for(let e=1;e=r;--a)if(e[a]!==t){t=0;break}o-=\ +t;n[n.length-1]=e.subarray(0,16-t)}}const c=new Uint8Array(o);for(let e=0,t=0,a=n.length;e=256&&(o=255&(27^o))}for(let t=0;t<4;++t){a[e]=r^=a[e-32];e++;a[e]=i^=a[e-32];e++;a[e]=n^=a[e-32];e++;a[e]=s^=a[e-32];e++}}return a}}class PDFBase{_hash(e,t,a){unreachable("Abstract method `_hash` called")}checkOwnerPassword(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);return isArrayEqual(thi\ +s._hash(e,i,a),r)}checkUserPassword(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);return isArrayEqual(this._hash(e,r,[]),a)}getOwnerKey(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);const n=this._hash(e,i,a);return new AES256Cipher(n).decryptBlock(r,!1,new Uint8Array(16))}getUserKey(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);const i=this._hash(e,r,[]);return new AES256Cipher(i).decryptBloc\ +k(a,!1,new Uint8Array(16))}}class PDF17 extends PDFBase{_hash(e,t,a){return calculateSHA256(t,0,t.length)}}class PDF20 extends PDFBase{_hash(e,t,a){let r=calculateSHA256(t,0,t.length).subarray(0,32),i=[0],n=0;for(;n<64||i.at(-1)>n-32;){const t=e.length+r.length+a.length,l=new Uint8Array(t);let h=0;l.set(e,h);h+=e.length;l.set(r,h);h+=r.length;l.set(a,h);const u=new Uint8Array(64*t);for(let e=0,a=0;e<64;e++,a+=t)u.set(l,a);i=new AES128Cipher(r.subarray(0,16)).encrypt(u,r.subarray(16,32));const d=\ +Math.sumPrecise(i.slice(0,16))%3;0===d?r=calculateSHA256(i,0,i.length):1===d?r=(s=i,o=0,c=i.length,calculateSHA512(s,o,c,!0)):2===d&&(r=calculateSHA512(i,0,i.length));n++}var s,o,c;return r.subarray(0,32)}}class CipherTransform{constructor(e,t){this.StringCipherConstructor=e;this.StreamCipherConstructor=t}createStream(e,t){const a=new this.StreamCipherConstructor;return new DecryptStream(e,t,(function cipherTransformDecryptStream(e,t){return a.decryptBlock(e,t)}))}decryptString(e){const t=new th\ +is.StringCipherConstructor;let a=stringToBytes(e);a=t.decryptBlock(a,!0);return bytesToString(a)}encryptString(e){const t=new this.StringCipherConstructor;if(t instanceof AESBaseCipher){const a=16-e.length%16;e+=String.fromCharCode(a).repeat(a);const r=new Uint8Array(16);crypto.getRandomValues(r);let i=stringToBytes(e);i=t.encrypt(i,r);const n=new Uint8Array(16+i.length);n.set(r);n.set(i,16);return bytesToString(n)}let a=stringToBytes(e);a=t.encrypt(a);return bytesToString(a)}}class CipherTransf\ +ormFactory{static get _defaultPasswordBytes(){return shadow(this,"_defaultPasswordBytes",new Uint8Array([40,191,78,94,78,117,138,65,100,0,78,86,255,250,1,8,46,46,0,182,208,104,62,128,47,12,169,254,100,83,105,122]))}#Oe(e,t,a,r,i,n,s,o,c,l,h,u){if(t){const e=Math.min(127,t.length);t=t.subarray(0,e)}else t=[];const d=6===e?new PDF20:new PDF17;return d.checkUserPassword(t,o,s)?d.getUserKey(t,c,h):t.length&&d.checkOwnerPassword(t,r,n,a)?d.getOwnerKey(t,i,n,l):null}#Me(e,t,a,r,i,n,s,o){const c=40+a.l\ +ength+e.length,l=new Uint8Array(c);let h,u,d=0;if(t){u=Math.min(32,t.length);for(;d>8&255;l[d++]=i>>16&255;l[d++]=i>>>24&255;l.set(e,d);d+=e.length;if(n>=4&&!o){l.fill(255,d,d+4);d+=4}let f=calculateMD5(l,0,d);const g=s>>3;if(n>=3)for(h=0;h<50;++h)f=calculateMD5(f,0,g);const p=f.subarray(0,g);let m,b;if(n>=3){d=0;l.set(CipherTransformFactory._defaultPasswordBytes,\ +d);d+=32;l.set(e,d);d+=e.length;m=new ARCFourCipher(p);b=m.encryptBlock(calculateMD5(l,0,d));u=p.length;const t=new Uint8Array(u);for(h=1;h<=19;++h){for(let e=0;er[t]===e))?p:null}#De(e,t,a,r){const i=new Uint8Array(32);let n=0;const s=Math.min(32,e.length);for(;n>3;if(a>=3)for(o=0;o<50;++o)c=calculateMD5(c,0,c.length);let h,u;if(a>=3){u=t;const e=new Uint8Array(l);for(o=19;o>=0;o--){for(let t=0;t>8&255;n[s++]=e>>16&255;n[s++]=255&t;n[s++]=t>>8&255;if(r){n[s++]=\ +115;n[s++]=65;n[s++]=108;n[s++]=84}return calculateMD5(n,0,s).subarray(0,Math.min(i+5,16))}#Re(e,t,a,r,i){if(!(t instanceof Name))throw new FormatError("Invalid crypt filter name.");const n=this,s=e.get(t.name),o=s?.get("CFM");if(!o||"None"===o.name)return function(){return new NullCipher};if("V2"===o.name)return function(){return new ARCFourCipher(n.#Be(a,r,i,!1))};if("AESV2"===o.name)return function(){return new AES128Cipher(n.#Be(a,r,i,!0))};if("AESV3"===o.name)return function(){return new AE\ +S256Cipher(i)};throw new FormatError("Unknown crypto method")}constructor(e,t,a){const r=e.get("Filter");if(!isName(r,"Standard"))throw new FormatError("unknown encryption method");this.filterName=r.name;this.dict=e;const i=e.get("V");if(!Number.isInteger(i)||1!==i&&2!==i&&4!==i&&5!==i)throw new FormatError("unsupported encryption algorithm");this.algorithm=i;let n=e.get("Length");if(!n)if(i<=3)n=40;else{const t=e.get("CF"),a=e.get("StmF");if(t instanceof Dict&&a instanceof Name){t.suppressEncry\ +ption=!0;const e=t.get(a.name);n=e?.get("Length")||128;n<40&&(n<<=3)}}if(!Number.isInteger(n)||n<40||n%8!=0)throw new FormatError("invalid key length");const s=stringToBytes(e.get("O")),o=stringToBytes(e.get("U")),c=s.subarray(0,32),l=o.subarray(0,32),h=e.get("P"),u=e.get("R"),d=(4===i||5===i)&&!1!==e.get("EncryptMetadata");this.encryptMetadata=d;const f=stringToBytes(t);let g,p;if(a){if(6===u)try{a=utf8StringToString(a)}catch{warn("CipherTransformFactory: Unable to convert UTF8 encoded password\ +.")}g=stringToBytes(a)}if(5!==i)p=this.#Me(f,g,c,l,h,u,n,d);else{const t=s.subarray(32,40),a=s.subarray(40,48),r=o.subarray(0,48),i=o.subarray(32,40),n=o.subarray(40,48),h=stringToBytes(e.get("OE")),d=stringToBytes(e.get("UE")),f=stringToBytes(e.get("Perms"));p=this.#Oe(u,g,c,t,a,r,l,i,n,h,d,f)}if(!p){if(!a)throw new PasswordException("No password given",ha);const e=this.#De(g,c,u,n);p=this.#Me(f,e,c,l,h,u,n,d)}if(!p)throw new PasswordException("Incorrect Password",ua);if(4===i&&p.length<16){thi\ +s.encryptionKey=new Uint8Array(16);this.encryptionKey.set(p)}else this.encryptionKey=p;if(i>=4){const t=e.get("CF");t instanceof Dict&&(t.suppressEncryption=!0);this.cf=t;this.stmf=e.get("StmF")||Name.get("Identity");this.strf=e.get("StrF")||Name.get("Identity");this.eff=e.get("EFF")||this.stmf}}createCipherTransform(e,t){if(4===this.algorithm||5===this.algorithm)return new CipherTransform(this.#Re(this.cf,this.strf,e,t,this.encryptionKey),this.#Re(this.cf,this.stmf,e,t,this.encryptionKey));cons\ +t a=this.#Be(e,t,this.encryptionKey,!1),cipherConstructor=function(){return new ARCFourCipher(a)};return new CipherTransform(cipherConstructor,cipherConstructor)}}class XRef{#Ne=null;constructor(e,t){this.stream=e;this.pdfManager=t;this.entries=[];this._xrefStms=new Set;this._cacheMap=new Map;this._pendingRefs=new RefSet;this._newPersistentRefNum=null;this._newTemporaryRefNum=null;this._persistentRefsCache=null}getNewPersistentRef(e){null===this._newPersistentRefNum&&(this._newPersistentRefNum=t\ +his.entries.length||1);const t=this._newPersistentRefNum++;this._cacheMap.set(t,e);return Ref.get(t,0)}getNewTemporaryRef(){if(null===this._newTemporaryRefNum){this._newTemporaryRefNum=this.entries.length||1;if(this._newPersistentRefNum){this._persistentRefsCache=new Map;for(let e=this._newTemporaryRefNum;e0;){const[s,o]=n;if(\ +!Number.isInteger(s)||!Number.isInteger(o))throw new FormatError(`Invalid XRef range fields: ${s}, ${o}`);if(!Number.isInteger(a)||!Number.isInteger(r)||!Number.isInteger(i))throw new FormatError(`Invalid XRef entry fields length: ${s}, ${o}`);for(let n=t.entryNum;n=e.length);){a+=String.fromCharCode(r);r=e[t]}return a}function skipUntil(e,t,a){const r=a.length,i=e.length;let n=0;for(;t=r)break;t++;n++}return n}const e=/\\b(endobj|\\d+\\s+\\d+\\s+obj|xref|trailer\\s*<<)\\b/g,t=/\\b(startxref|\\d+\\s+\\d+\\s+obj)\\b/g,a=/^(\\d+)\\s+(\\d+)\\s+obj\\b/,r=new Uint8Array([116,114,97,105,108,101,114]),i=new Uint8Array([115,116,97,114,116,120,114,101,102]),n=new Uint8Array([47,88,82,101,102]);thi\ +s.entries.length=0;this._cacheMap.clear();const s=this.stream;s.pos=0;const o=s.getBytes(),c=bytesToString(o),l=o.length;let h=s.start;const u=[],d=[];for(;h=l)break;f=o[h]}while(10!==f&&13!==f);continue}const g=readToken(o,h);let p;if(g.startsWith("xref")&&(4===g.length||/\\s/.test(g[4]))){h+=skipUntil(o,h,r);u.push(h);h+=skipUntil(o,h,i)}else if(p=a.exec(g)){const t=0|p[1],a=0|p[2],r=h+g.length;let i,u=!1;if(t\ +his.entries[t]){if(this.entries[t].gen===a)try{new Parser({lexer:new Lexer(s.makeSubStream(r))}).getObj();u=!0}catch(e){e instanceof ParserEOFException?warn(`indexObjects -- checking object (${g}): "${e}".`):u=!0}}else u=!0;u&&(this.entries[t]={offset:h-s.start,gen:a,uncompressed:!0});e.lastIndex=r;const f=e.exec(c);if(f){i=e.lastIndex+1-h;if("endobj"!==f[1]){warn(`indexObjects: Found "${f[1]}" inside of another "obj", caused by missing "endobj" -- trying to recover.`);i-=f[1].length+1}}else i=l\ +-h;const m=o.subarray(h,h+i),b=skipUntil(m,0,n);if(b0?Math.max(...this._xrefStms):null)}getEntry(e){const t=this.entries[e];return t&&!t.free&&t.offset?t:null}fetchIfRef(e,t=!1){return e instanceof Ref?this.fetch(e,t):e}fetch(e,t=!1){if(!(e instanceof Ref))throw new Error("ref object is not a reference");const a=e.num,r=this._cacheMap.\ +get(a);if(void 0!==r){r instanceof Dict&&!r.objId&&(r.objId=e.toString());return r}let i=this.getEntry(a);if(null===i)return i;if(this._pendingRefs.has(e)){this._pendingRefs.remove(e);warn(`Ignoring circular reference: ${e}.`);return ya}this._pendingRefs.put(e);try{i=i.uncompressed?this.fetchUncompressed(e,i,t):this.fetchCompressed(e,i,t);this._pendingRefs.remove(e)}catch(t){this._pendingRefs.remove(e);throw t}i instanceof Dict?i.objId=e.toString():i instanceof BaseStream&&(i.dict.objId=e.toStri\ +ng());return i}fetchUncompressed(e,t,a=!1){const r=e.gen;let i=e.num;if(t.gen!==r){const n=`Inconsistent generation in XRef: ${e}`;if(this._generationFallback&&t.gen0&&t[3]-t[1]>0)return t;warn(`Emp\ +ty, or invalid, /${e} entry.`)}return null}get mediaBox(){return shadow(this,"mediaBox",this.#je("MediaBox")||yc)}get cropBox(){return shadow(this,"cropBox",this.#je("CropBox")||this.mediaBox)}get userUnit(){const e=this.pageDict.get("UserUnit");return shadow(this,"userUnit","number"==typeof e&&e>0?e:1)}get view(){const{cropBox:e,mediaBox:t}=this;if(e!==t&&!isArrayEqual(e,t)){const a=Util.intersect(e,t);if(a&&a[2]-a[0]>0&&a[3]-a[1]>0)return shadow(this,"view",a);warn("Empty /CropBox and /MediaBo\ +x intersection.")}return shadow(this,"view",t)}get rotate(){let e=this.#Le("Rotate")||0;e%90!=0?e=0:e>=360?e%=360:e<0&&(e=(e%360+360)%360);return shadow(this,"rotate",e)}#_e(e,t){if(!this.evaluatorOptions.ignoreErrors)throw e;warn(`getContentStream - ignoring sub-stream (${t}): "${e}".`)}async getContentStream(){const e=await this.pdfManager.ensure(this,"content");return e instanceof BaseStream?e:Array.isArray(e)?new StreamsSequenceStream(e,this.#_e.bind(this)):new NullStream}get xfaData(){retur\ +n shadow(this,"xfaData",this.xfaFactory?{bbox:this.xfaFactory.getBoundingBox(this.pageIndex)}:null)}async#Ue(e,t,a){const r=[];for(const i of e)if(i.id){const e=Ref.fromString(i.id);if(!e){warn(`A non-linked annotation cannot be modified: ${i.id}`);continue}if(i.deleted){t.put(e,e);if(i.popupRef){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}continue}if(i.popup?.deleted){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}a?.put(e);i.ref=e;r.push(this.xref.fetchAsync(e).then((e=>{e instanceof Di\ +ct&&(i.oldAnnotation=e.clone())}),(()=>{warn(`Cannot fetch \\`oldAnnotation\\` for: ${e}.`)})));delete i.id}await Promise.all(r)}async saveNewAnnotations(e,t,a,r,i){if(this.xfaFactory)throw new Error("XFA: Cannot save new annotations.");const n=this.#Pe(e),s=new RefSetCache,o=new RefSet;await this.#Ue(a,s,o);const c=this.pageDict,l=this.annotations.filter((e=>!(e instanceof Ref&&s.has(e)))),h=await AnnotationFactory.saveNewAnnotations(n,t,a,r,i);for(const{ref:e}of h.annotations)e instanceof Ref&&!\ +o.has(e)&&l.push(e);const u=c.clone();u.set("Annots",l);i.put(this.ref,{data:u});for(const e of s)i.put(e,{data:null})}async save(e,t,a,r){const i=this.#Pe(e),n=await this._parsedAnnotations,s=[];for(const e of n)s.push(e.save(i,t,a,r).catch((function(e){warn(`save - ignoring annotation data during "${t.name}" task: "${e}".`);return null})));return Promise.all(s)}async loadResources(e){await(this.#Ee??=this.pdfManager.ensure(this,"resources"));await ObjectLoader.load(this.resources,e,this.xref)}\ +async#Xe(e,t){const a=e?.get("Resources");if(!(a instanceof Dict&&a.size))return this.resources;await ObjectLoader.load(a,t,this.xref);return Dict.merge({xref:this.xref,dictArray:[a,this.resources],mergeSubDicts:!0})}async getOperatorList({handler:e,sink:t,task:a,intent:r,cacheKey:i,annotationStorage:c=null,modifiedIds:d=null}){const g=this.getContentStream(),p=this.loadResources(Ia),m=this.#Pe(e),b=this.xfaFactory?null:getNewAnnotationsMap(c),y=b?.get(this.pageIndex);let w=Promise.resolve(null)\ +,x=null;if(y){const e=this.pdfManager.ensureDoc("annotationGlobals");let t;const r=new Set;for(const{bitmapId:e,bitmap:t}of y)!e||t||r.has(e)||r.add(e);const{isOffscreenCanvasSupported:i}=this.evaluatorOptions;if(r.size>0){const e=y.slice();for(const[t,a]of c)t.startsWith(f)&&a.bitmap&&r.has(a.bitmapId)&&e.push(a);t=AnnotationFactory.generateImages(e,this.xref,i)}else t=AnnotationFactory.generateImages(y,this.xref,i);x=new RefSet;w=Promise.all([e,this.#Ue(y,x,null)]).then((([e])=>e?AnnotationFac\ +tory.printNewAnnotations(e,m,a,y,t):null))}const S=Promise.all([g,p]).then((async([n])=>{const s=await this.#Xe(n.dict,Ia),o=new OperatorList(r,t);e.send("StartRenderPage",{transparency:m.hasBlendModes(s,this.nonBlendModesSet),pageIndex:this.pageIndex,cacheKey:i});await m.getOperatorList({stream:n,task:a,resources:s,operatorList:o});return o}));let[k,C,v]=await Promise.all([S,this._parsedAnnotations,w]);if(v){C=C.filter((e=>!(e.ref&&x.has(e.ref))));for(let e=0,t=v.length;ee.ref&&isRefsEqual(e.ref,a.refToReplace)));if(r>=0){C.splice(r,1,a);v.splice(e--,1);t--}}}C=C.concat(v)}if(0===C.length||r&h){k.flush(!0);return{length:k.totalLength}}const F=!!(r&l),T=!!(r&u),O=!!(r&n),M=!!(r&s),D=!!(r&o),R=[];for(const e of C)(O||M&&e.mustBeViewed(c,F)&&e.mustBeViewedWhenEditing(T,d)||D&&e.mustBePrinted(c))&&R.push(e.getOperatorList(m,a,r,c).catch((function(e){warn(`getOperatorList - ignoring annotation data during "${a.name}" task: "${\ +e}".`);return{opList:null,separateForm:!1,separateCanvas:!1}})));const N=await Promise.all(R);let E=!1,L=!1;for(const{opList:e,separateForm:t,separateCanvas:a}of N){k.addOpList(e);E||=t;L||=a}k.flush(!0,{form:E,canvas:L});return{length:k.totalLength}}async extractTextContent({handler:e,task:t,includeMarkedContent:a,disableNormalization:r,sink:i,intersector:n=null}){const s=this.getContentStream(),o=this.loadResources(Ta),c=this.pdfManager.ensureCatalog("lang"),[l,,h]=await Promise.all([s,o,c]),u\ +=await this.#Xe(l.dict,Ta);return this.#Pe(e).getTextContent({stream:l,task:t,resources:u,includeMarkedContent:a,disableNormalization:r,sink:i,viewBox:this.view,lang:h,intersector:n})}async getStructTree(){const e=await this.pdfManager.ensureCatalog("structTreeRoot");if(!e)return null;await this._parsedAnnotations;try{const t=await this.pdfManager.ensure(this,"_parseStructTree",[e]);return await this.pdfManager.ensure(t,"serializable")}catch(e){warn(`getStructTree: "${e}".`);return null}}_parseS\ +tructTree(e){const t=new StructTreePage(e,this.pageDict);t.parse(this.ref);return t}async getAnnotationsData(e,t,a){const r=await this._parsedAnnotations;if(0===r.length)return r;const i=[],c=[];let l;const h=!!(a&n),u=!!(a&s),d=!!(a&o),f=[];for(const a of r){const r=h||u&&a.viewable;(r||d&&a.printable)&&i.push(a.data);if(a.hasTextContent&&r){l??=this.#Pe(e);c.push(a.extractTextContent(l,t,[-1/0,-1/0,1/0,1/0]).catch((function(e){warn(`getAnnotationsData - ignoring textContent during "${t.name}" \ +task: "${e}".`)})))}else a.overlaysTextContent&&r&&f.push(a)}if(f.length>0){const a=new Intersector(f);c.push(this.extractTextContent({handler:e,task:t,includeMarkedContent:!1,disableNormalization:!1,sink:null,viewBox:this.view,lang:null,intersector:a}).then((()=>{a.setText()})))}await Promise.all(c);return i}get annotations(){const e=this.#Le("Annots");return shadow(this,"annotations",Array.isArray(e)?e:[])}get _parsedAnnotations(){return shadow(this,"_parsedAnnotations",this.pdfManager.ensure(\ +this,"annotations").then((async e=>{if(0===e.length)return e;const[t,a]=await Promise.all([this.pdfManager.ensureDoc("annotationGlobals"),this.pdfManager.ensureDoc("fieldObjects")]);if(!t)return[];const r=a?.orphanFields,i=[];for(const a of e)i.push(AnnotationFactory.create(this.xref,a,t,this._localIdFactory,!1,r,this.ref).catch((function(e){warn(`_parsedAnnotations: "${e}".`);return null})));const n=[];let s,o;for(const e of await Promise.all(i))e&&(e instanceof WidgetAnnotation?(o||=[]).push(e\ +):e instanceof PopupAnnotation?(s||=[]).push(e):n.push(e));o&&n.push(...o);s&&n.push(...s);return n})))}get jsActions(){return shadow(this,"jsActions",collectActions(this.xref,this.pageDict,xe))}}const wc=new Uint8Array([37,80,68,70,45]),xc=new Uint8Array([115,116,97,114,116,120,114,101,102]),Sc=new Uint8Array([101,110,100,111,98,106]);function find(e,t,a=1024,r=!1){const i=t.length,n=e.peekBytes(a),s=n.length-i;if(s<=0)return!1;if(r){const a=i-1;let r=n.length-1;for(;r>=a;){let s=0;for(;s=i){e.pos+=r-a;return!0}r--}}else{let a=0;for(;a<=s;){let r=0;for(;r=i){e.pos+=a;return!0}a++}}return!1}class PDFDocument{#qe=new Map;#He=null;constructor(e,t){if(t.length<=0)throw new InvalidPDFException("The PDF file is empty, i.e. its size is zero bytes.");this.pdfManager=e;this.stream=t;this.xref=new XRef(t,e);const a={font:0};this._globalIdFactory=class{static getDocId(){return`g_${e.docId}`}static createFontId(){return"f"+ ++a.font}static\ + createObjId(){unreachable("Abstract method `createObjId` called.")}static getPageObjId(){unreachable("Abstract method `getPageObjId` called.")}}}parse(e){this.xref.parse(e);this.catalog=new Catalog(this.pdfManager,this.xref)}get linearization(){let e=null;try{e=Linearization.create(this.stream)}catch(e){if(e instanceof MissingDataException)throw e;info(e)}return shadow(this,"linearization",e)}get startXRef(){const e=this.stream;let t=0;if(this.linearization){e.reset();if(find(e,Sc)){e.skip(6);l\ +et a=e.peekByte();for(;isWhiteSpace(a);){e.pos++;a=e.peekByte()}t=e.pos-e.start}}else{const a=1024,r=xc.length;let i=!1,n=e.end;for(;!i&&n>0;){n-=a-r;n<0&&(n=0);e.pos=n;i=find(e,xc,a,!0)}if(i){e.skip(9);let a;do{a=e.getByte()}while(isWhiteSpace(a));let r="";for(;a>=32&&a<=57;){r+=String.fromCharCode(a);a=e.getByte()}t=parseInt(r,10);isNaN(t)&&(t=0)}}return shadow(this,"startXRef",t)}checkHeader(){const e=this.stream;e.reset();if(!find(e,wc))return;e.moveStart();e.skip(wc.length);let t,a="";for(;\ +(t=e.getByte())>32&&a.length<7;)a+=String.fromCharCode(t);Ca.test(a)?this.#He=a:warn(`Invalid PDF header version: ${a}`)}parseStartXRef(){this.xref.setStartXRef(this.startXRef)}get numPages(){let e=0;e=this.catalog.hasActualNumPages?this.catalog.numPages:this.xfaFactory?this.xfaFactory.getNumPages():this.linearization?this.linearization.numPages:this.catalog.numPages;return shadow(this,"numPages",e)}#We(e,t=0){return!!Array.isArray(e)&&e.every((e=>{if(!((e=this.xref.fetchIfRef(e))instanceof Dict\ +))return!1;if(e.has("Kids")){if(++t>10){warn("#hasOnlyDocumentSignatures: maximum recursion depth reached");return!1}return this.#We(e.get("Kids"),t)}const a=isName(e.get("FT"),"Sig"),r=e.get("Rect"),i=Array.isArray(r)&&r.every((e=>0===e));return a&&i}))}#ze(e,t,a=new RefSet){if(Array.isArray(e))for(let r of e){if(r instanceof Ref){if(a.has(r))continue;a.put(r)}r=this.xref.fetchIfRef(r);if(!(r instanceof Dict))continue;if(r.has("Kids")){this.#ze(r.get("Kids"),t,a);continue}if(!isName(r.get("FT")\ +,"Sig"))continue;const e=r.get("V");if(!(e instanceof Dict))continue;const i=e.get("SubFilter");i instanceof Name&&t.add(i.name)}}get _xfaStreams(){const{acroForm:e}=this.catalog;if(!e)return null;const t=e.get("XFA"),a=new Map(["xdp:xdp","template","datasets","config","connectionSet","localeSet","stylesheet","/xdp:xdp"].map((e=>[e,null])));if(t instanceof BaseStream&&!t.isEmpty){a.set("xdp:xdp",t);return a}if(!Array.isArray(t)||0===t.length)return null;for(let e=0,r=t.length;el.handleSetFont(r,[Name.get(e),1],null,h,t,d,a,i).catch((e=>{warn(`loadXfaFonts: "${e}".`);return null})),f=[];for(const[e,t]of i){const a=t.get("FontDesc\ +riptor");if(!(a instanceof Dict))continue;let r=a.get("FontFamily");r=r.replaceAll(/[ ]+(\\d)/g,"$1");const i={fontFamily:r,fontWeight:a.get("FontWeight"),italicAngle:-a.get("ItalicAngle")};validateCSSFont(i)&&f.push(parseFont(e,null,i))}await Promise.all(f);const g=this.xfaFactory.setFonts(u);if(!g)return;n.ignoreErrors=!0;f.length=0;u.length=0;const p=new Set;for(const e of g)getXfaFontName(`${e}-Regular`)||p.add(e);p.size&&g.push("PdfJS-Fallback");for(const e of g)if(!p.has(e))for(const t of[{\ +name:"Regular",fontWeight:400,italicAngle:0},{name:"Bold",fontWeight:700,italicAngle:0},{name:"Italic",fontWeight:400,italicAngle:12},{name:"BoldItalic",fontWeight:700,italicAngle:12}]){const a=`${e}-${t.name}`;f.push(parseFont(a,getXfaFontDict(a),{fontFamily:e,fontWeight:t.fontWeight,italicAngle:t.italicAngle}))}await Promise.all(f);this.xfaFactory.appendFonts(u,p)}loadXfaResources(e,t){return Promise.all([this.#Ge(e,t).catch((()=>{})),this.#$e()])}serializeXfaData(e){return this.xfaFactory?thi\ +s.xfaFactory.serializeData(e):null}get version(){return this.catalog.version||this.#He}get formInfo(){const e={hasFields:!1,hasAcroForm:!1,hasXfa:!1,hasSignatures:!1},{acroForm:t}=this.catalog;if(!t)return shadow(this,"formInfo",e);try{const a=t.get("Fields"),r=Array.isArray(a)&&a.length>0;e.hasFields=r;const i=t.get("XFA");e.hasXfa=Array.isArray(i)&&i.length>0||i instanceof BaseStream&&!i.isEmpty;const n=!!(1&t.get("SigFlags")),s=n&&this.#We(a);e.hasAcroForm=r&&!s;e.hasSignatures=n}catch(e){if(\ +e instanceof MissingDataException)throw e;warn(`Cannot fetch form information: "${e}".`)}return shadow(this,"formInfo",e)}get documentInfo(){const{catalog:e,formInfo:t,xref:a}=this,r={PDFFormatVersion:this.version,Language:e.lang,EncryptFilterName:a.encrypt?.filterName??null,IsLinearized:!!this.linearization,IsAcroFormPresent:t.hasAcroForm,IsXFAPresent:t.hasXfa,IsCollectionPresent:!!e.collection,IsSignaturesPresent:t.hasSignatures};let i;try{i=a.trailer.get("Info")}catch(e){if(e instanceof Missi\ +ngDataException)throw e;info("The document information dictionary is invalid.")}if(!(i instanceof Dict))return shadow(this,"documentInfo",r);for(const[e,t]of i){switch(e){case"Title":case"Author":case"Subject":case"Keywords":case"Creator":case"Producer":case"CreationDate":case"ModDate":if("string"==typeof t){r[e]=stringToPDFString(t);continue}break;case"Trapped":if(t instanceof Name){r[e]=t;continue}break;default:let a;switch(typeof t){case"string":a=stringToPDFString(t);break;case"number":case"\ +boolean":a=t;break;default:t instanceof Name&&(a=t)}if(void 0===a){warn(`Bad value, for custom key "${e}", in Info: ${t}.`);continue}r.Custom??=Object.create(null);r.Custom[e]=a;continue}warn(`Bad value, for key "${e}", in Info: ${t}.`)}return shadow(this,"documentInfo",r)}get fingerprints(){const e="\\0".repeat(16);function validate(t){return"string"==typeof t&&16===t.length&&t!==e}const t=this.xref.trailer.get("ID");let a,r;if(Array.isArray(t)&&validate(t[0])){a=stringToBytes(t[0]);t[1]!==t[0]&\ +&validate(t[1])&&(r=stringToBytes(t[1]))}else a=calculateMD5(this.stream.getByteRange(0,1024),0,1024);return shadow(this,"fingerprints",[toHexUtil(a),r?toHexUtil(r):null])}async#Ve(e){const{catalog:t,linearization:a,xref:r}=this,i=Ref.get(a.objectNumberFirst,0);try{const e=await r.fetchAsync(i);if(e instanceof Dict){let a=e.getRaw("Type");a instanceof Ref&&(a=await r.fetchAsync(a));if(isName(a,"Page")||!e.has("Type")&&!e.has("Kids")&&e.has("Contents")){t.pageKidsCountCache.has(i)||t.pageKidsCoun\ +tCache.put(i,1);t.pageIndexCache.has(i)||t.pageIndexCache.put(i,0);return[e,i]}}throw new FormatError("The Linearization dictionary doesn\'t point to a valid Page dictionary.")}catch(a){warn(`_getLinearizationPage: "${a.message}".`);return t.getPageDict(e)}}getPage(e){const t=this.#qe.get(e);if(t)return t;const{catalog:a,linearization:r,xfaFactory:i}=this;let n;n=i?Promise.resolve([Dict.empty,null]):r?.pageFirst===e?this.#Ve(e):a.getPageDict(e);n=n.then((([t,r])=>new Page({pdfManager:this.pdfMana\ +ger,xref:this.xref,pageIndex:e,pageDict:t,ref:r,globalIdFactory:this._globalIdFactory,fontCache:a.fontCache,builtInCMapCache:a.builtInCMapCache,standardFontDataCache:a.standardFontDataCache,globalColorSpaceCache:a.globalColorSpaceCache,globalImageCache:a.globalImageCache,systemFontCache:a.systemFontCache,nonBlendModesSet:a.nonBlendModesSet,xfaFactory:i})));this.#qe.set(e,n);return n}async checkFirstPage(e=!1){if(!e)try{await this.getPage(0)}catch(e){if(e instanceof XRefEntryException){this.#qe.d\ +elete(0);await this.cleanup();throw new XRefParseException}}}async checkLastPage(e=!1){const{catalog:t,pdfManager:a}=this;t.setActualNumPages();let r;try{await Promise.all([a.ensureDoc("xfaFactory"),a.ensureDoc("linearization"),a.ensureCatalog("numPages")]);if(this.xfaFactory)return;r=this.linearization?this.linearization.numPages:t.numPages;if(!Number.isInteger(r))throw new FormatError("Page count is not an integer.");if(r<=1)return;await this.getPage(r-1)}catch(i){this.#qe.delete(r-1);await th\ +is.cleanup();if(i instanceof XRefEntryException&&!e)throw new XRefParseException;warn(`checkLastPage - invalid /Pages tree /Count: ${r}.`);let n;try{n=await t.getAllPageDicts(e)}catch(a){if(a instanceof XRefEntryException&&!e)throw new XRefParseException;t.setActualNumPages(1);return}for(const[e,[r,i]]of n){let n;if(r instanceof Error){n=Promise.reject(r);n.catch((()=>{}))}else n=Promise.resolve(new Page({pdfManager:a,xref:this.xref,pageIndex:e,pageDict:r,ref:i,globalIdFactory:this._globalIdFact\ +ory,fontCache:t.fontCache,builtInCMapCache:t.builtInCMapCache,standardFontDataCache:t.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceCache,globalImageCache:t.globalImageCache,systemFontCache:t.systemFontCache,nonBlendModesSet:t.nonBlendModesSet,xfaFactory:null}));this.#qe.set(e,n)}t.setActualNumPages(n.size)}}async fontFallback(e,t){const{catalog:a,pdfManager:r}=this;for(const i of await Promise.all(a.fontCache))if(i.loadedName===e){i.fallback(t,r.evaluatorOptions);return}}asyn\ +c cleanup(e=!1){return this.catalog?this.catalog.cleanup(e):clearGlobalCaches()}async#Ke(e,t,a,r,i,n,s){const{xref:o}=this;if(!(a instanceof Ref)||n.has(a))return;n.put(a);const c=await o.fetchAsync(a);if(!(c instanceof Dict))return;let l=await c.getAsync("Subtype");l=l instanceof Name?l.name:null;if("Link"===l)return;if(c.has("T")){const t=stringToPDFString(await c.getAsync("T"));e=""===e?t:`${e}.${t}`}else{let a=c;for(;;){a=a.getRaw("Parent")||t;if(a instanceof Ref){if(n.has(a))break;a=await o\ +.fetchAsync(a)}if(!(a instanceof Dict))break;if(a.has("T")){const t=stringToPDFString(await a.getAsync("T"));e=""===e?t:`${e}.${t}`;break}}}t&&!c.has("Parent")&&isName(c.get("Subtype"),"Widget")&&s.put(a,t);r.has(e)||r.set(e,[]);r.get(e).push(AnnotationFactory.create(o,a,i,null,!0,s,null).then((e=>e?.getFieldObject())).catch((function(e){warn(`#collectFieldObjects: "${e}".`);return null})));if(!c.has("Kids"))return;const h=await c.getAsync("Kids");if(Array.isArray(h))for(const t of h)await this.\ +#Ke(e,a,t,r,i,n,s)}get fieldObjects(){return shadow(this,"fieldObjects",this.pdfManager.ensureDoc("formInfo").then((async e=>{if(!e.hasFields)return null;const t=await this.annotationGlobals;if(!t)return null;const{acroForm:a}=t,r=new RefSet,i=Object.create(null),n=new Map,s=new RefSetCache;for(const e of a.get("Fields"))await this.#Ke("",null,e,n,t,r,s);const o=[];for(const[e,t]of n)o.push(Promise.all(t).then((t=>{(t=t.filter((e=>!!e))).length>0&&(i[e]=t)})));await Promise.all(o);return{allFiel\ +ds:objectSize(i)>0?i:null,orphanFields:s}})))}get hasJSActions(){return shadow(this,"hasJSActions",this.pdfManager.ensureDoc("_parseHasJSActions"))}async _parseHasJSActions(){const[e,t]=await Promise.all([this.pdfManager.ensureCatalog("jsActions"),this.pdfManager.ensureDoc("fieldObjects")]);return!!e||!!t?.allFields&&Object.values(t.allFields).some((e=>e.some((e=>null!==e.actions))))}get calculationOrderIds(){const e=this.catalog.acroForm?.get("CO");if(!Array.isArray(e)||0===e.length)return shad\ +ow(this,"calculationOrderIds",null);const t=[];for(const a of e)a instanceof Ref&&t.push(a.toString());return shadow(this,"calculationOrderIds",t.length?t:null)}get annotationGlobals(){return shadow(this,"annotationGlobals",AnnotationFactory.createGlobals(this.pdfManager))}}class BasePdfManager{constructor({docBaseUrl:e,docId:t,enableXfa:a,evaluatorOptions:r,handler:i,password:n}){this._docBaseUrl=function parseDocBaseUrl(e){if(e){const t=createValidAbsoluteUrl(e);if(t)return t.href;warn(`Invali\ +d absolute docBaseUrl: "${e}".`)}return null}(e);this._docId=t;this._password=n;this.enableXfa=a;r.isOffscreenCanvasSupported&&=FeatureTest.isOffscreenCanvasSupported;r.isImageDecoderSupported&&=FeatureTest.isImageDecoderSupported;this.evaluatorOptions=Object.freeze(r);ImageResizer.setOptions(r);JpegStream.setOptions(r);OperatorList.setOptions(r);const s={...r,handler:i};JpxImage.setOptions(s);IccColorSpace.setOptions(s);CmykICCBasedCS.setOptions(s)}get docId(){return this._docId}get password(){\ +return this._password}get docBaseUrl(){return this._docBaseUrl}ensureDoc(e,t){return this.ensure(this.pdfDocument,e,t)}ensureXRef(e,t){return this.ensure(this.pdfDocument.xref,e,t)}ensureCatalog(e,t){return this.ensure(this.pdfDocument.catalog,e,t)}getPage(e){return this.pdfDocument.getPage(e)}fontFallback(e,t){return this.pdfDocument.fontFallback(e,t)}cleanup(e=!1){return this.pdfDocument.cleanup(e)}async ensure(e,t,a){unreachable("Abstract method `ensure` called")}requestRange(e,t){unreachable\ +("Abstract method `requestRange` called")}requestLoadedStream(e=!1){unreachable("Abstract method `requestLoadedStream` called")}sendProgressiveData(e){unreachable("Abstract method `sendProgressiveData` called")}updatePassword(e){this._password=e}terminate(e){unreachable("Abstract method `terminate` called")}}class LocalPdfManager extends BasePdfManager{constructor(e){super(e);const t=new Stream(e.source);this.pdfDocument=new PDFDocument(this,t);this._loadedStreamPromise=Promise.resolve(t)}async \ +ensure(e,t,a){const r=e[t];return"function"==typeof r?r.apply(e,a):r}requestRange(e,t){return Promise.resolve()}requestLoadedStream(e=!1){return this._loadedStreamPromise}terminate(e){}}class NetworkPdfManager extends BasePdfManager{constructor(e){super(e);this.streamManager=new ChunkedStreamManager(e.source,{msgHandler:e.handler,length:e.length,disableAutoFetch:e.disableAutoFetch,rangeChunkSize:e.rangeChunkSize});this.pdfDocument=new PDFDocument(this,this.streamManager.getStream())}async ensure\ +(e,t,a){try{const r=e[t];return"function"==typeof r?r.apply(e,a):r}catch(r){if(!(r instanceof MissingDataException))throw r;await this.requestRange(r.begin,r.end);return this.ensure(e,t,a)}}requestRange(e,t){return this.streamManager.requestRange(e,t)}requestLoadedStream(e=!1){return this.streamManager.requestAllChunks(e)}sendProgressiveData(e){this.streamManager.onReceiveData({chunk:e})}terminate(e){this.streamManager.abort(e)}}const Ac=1,kc=2,Cc=1,vc=2,Fc=3,Ic=4,Tc=5,Oc=6,Mc=7,Dc=8;function on\ +Fn(){}function wrapReason(e){if(e instanceof AbortException||e instanceof InvalidPDFException||e instanceof PasswordException||e instanceof ResponseException||e instanceof UnknownErrorException)return e;e instanceof Error||"object"==typeof e&&null!==e||unreachable(\'wrapReason: Expected "reason" to be a (possibly cloned) Error.\');switch(e.name){case"AbortException":return new AbortException(e.message);case"InvalidPDFException":return new InvalidPDFException(e.message);case"PasswordException":retu\ +rn new PasswordException(e.message,e.code);case"ResponseException":return new ResponseException(e.message,e.status,e.missing);case"UnknownErrorException":return new UnknownErrorException(e.message,e.details)}return new UnknownErrorException(e.message,e.toString())}class MessageHandler{#Je=new AbortController;constructor(e,t,a){this.sourceName=e;this.targetName=t;this.comObj=a;this.callbackId=1;this.streamId=1;this.streamSinks=Object.create(null);this.streamControllers=Object.create(null);this.ca\ +llbackCapabilities=Object.create(null);this.actionHandler=Object.create(null);a.addEventListener("message",this.#Ye.bind(this),{signal:this.#Je.signal})}#Ye({data:e}){if(e.targetName!==this.sourceName)return;if(e.stream){this.#Ze(e);return}if(e.callback){const t=e.callbackId,a=this.callbackCapabilities[t];if(!a)throw new Error(`Cannot resolve callback ${t}`);delete this.callbackCapabilities[t];if(e.callback===Ac)a.resolve(e.data);else{if(e.callback!==kc)throw new Error("Unexpected callback case"\ +);a.reject(wrapReason(e.reason))}return}const t=this.actionHandler[e.action];if(!t)throw new Error(`Unknown action from worker: ${e.action}`);if(e.callbackId){const a=this.sourceName,r=e.sourceName,i=this.comObj;Promise.try(t,e.data).then((function(t){i.postMessage({sourceName:a,targetName:r,callback:Ac,callbackId:e.callbackId,data:t})}),(function(t){i.postMessage({sourceName:a,targetName:r,callback:kc,callbackId:e.callbackId,reason:wrapReason(t)})}))}else e.streamId?this.#Qe(e):t(e.data)}on(e,t\ +){const a=this.actionHandler;if(a[e])throw new Error(`There is already an actionName called "${e}"`);a[e]=t}send(e,t,a){this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,data:t},a)}sendWithPromise(e,t,a){const r=this.callbackId++,i=Promise.withResolvers();this.callbackCapabilities[r]=i;try{this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,callbackId:r,data:t},a)}catch(e){i.reject(e)}return i.promise}sendWithStream(e,t,a,\ +r){const i=this.streamId++,n=this.sourceName,s=this.targetName,o=this.comObj;return new ReadableStream({start:a=>{const c=Promise.withResolvers();this.streamControllers[i]={controller:a,startCall:c,pullCall:null,cancelCall:null,isClosed:!1};o.postMessage({sourceName:n,targetName:s,action:e,streamId:i,data:t,desiredSize:a.desiredSize},r);return c.promise},pull:e=>{const t=Promise.withResolvers();this.streamControllers[i].pullCall=t;o.postMessage({sourceName:n,targetName:s,stream:Oc,streamId:i,des\ +iredSize:e.desiredSize});return t.promise},cancel:e=>{assert(e instanceof Error,"cancel must have a valid reason");const t=Promise.withResolvers();this.streamControllers[i].cancelCall=t;this.streamControllers[i].isClosed=!0;o.postMessage({sourceName:n,targetName:s,stream:Cc,streamId:i,reason:wrapReason(e)});return t.promise}},a)}#Qe(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this,s=this.actionHandler[e.action],o={enqueue(e,n=1,s){if(this.isCancelled)return;const o=thi\ +s.desiredSize;this.desiredSize-=n;if(o>0&&this.desiredSize<=0){this.sinkCapability=Promise.withResolvers();this.ready=this.sinkCapability.promise}i.postMessage({sourceName:a,targetName:r,stream:Ic,streamId:t,chunk:e},s)},close(){if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Fc,streamId:t});delete n.streamSinks[t]}},error(e){assert(e instanceof Error,"error must have a valid reason");if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,\ +targetName:r,stream:Tc,streamId:t,reason:wrapReason(e)})}},sinkCapability:Promise.withResolvers(),onPull:null,onCancel:null,isCancelled:!1,desiredSize:e.desiredSize,ready:null};o.sinkCapability.resolve();o.ready=o.sinkCapability.promise;this.streamSinks[t]=o;Promise.try(s,e.data,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,reason:wrapReason(e)})}))}#Ze(e){const t=e.strea\ +mId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this.streamControllers[t],s=this.streamSinks[t];switch(e.stream){case Dc:e.success?n.startCall.resolve():n.startCall.reject(wrapReason(e.reason));break;case Mc:e.success?n.pullCall.resolve():n.pullCall.reject(wrapReason(e.reason));break;case Oc:if(!s){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0});break}s.desiredSize<=0&&e.desiredSize>0&&s.sinkCapability.resolve();s.desiredSize=e.desiredSize;Promise.try(s.onPull||on\ +Fn).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,reason:wrapReason(e)})}));break;case Ic:assert(n,"enqueue should have stream controller");if(n.isClosed)break;n.controller.enqueue(e.chunk);break;case Fc:assert(n,"close should have stream controller");if(n.isClosed)break;n.isClosed=!0;n.controller.close();this.#et(n,t);break;case Tc:assert(n,"error should have stream control\ +ler");n.controller.error(wrapReason(e.reason));this.#et(n,t);break;case vc:e.success?n.cancelCall.resolve():n.cancelCall.reject(wrapReason(e.reason));this.#et(n,t);break;case Cc:if(!s)break;const o=wrapReason(e.reason);Promise.try(s.onCancel||onFn,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,reason:wrapReason(e)})}));s.sinkCapability.reject(o);s.isCancelled=!0;delete thi\ +s.streamSinks[t];break;default:throw new Error("Unexpected stream case")}}async#et(e,t){await Promise.allSettled([e.startCall?.promise,e.pullCall?.promise,e.cancelCall?.promise]);delete this.streamControllers[t]}destroy(){this.#Je?.abort();this.#Je=null}}async function writeObject(e,t,a,{encrypt:r=null}){const i=r?.createCipherTransform(e.num,e.gen);a.push(`${e.num} ${e.gen} obj\\n`);t instanceof Dict?await writeDict(t,a,i):t instanceof BaseStream?await writeStream(t,a,i):(Array.isArray(t)||Array\ +Buffer.isView(t))&&await writeArray(t,a,i);a.push("\\nendobj\\n")}async function writeDict(e,t,a){t.push("<<");for(const r of e.getKeys()){t.push(` /${escapePDFName(r)} `);await writeValue(e.getRaw(r),t,a)}t.push(">>")}async function writeStream(e,t,a){let r=e.getBytes();const{dict:i}=e,[n,s]=await Promise.all([i.getAsync("Filter"),i.getAsync("DecodeParms")]),o=isName(Array.isArray(n)?await i.xref.fetchIfRefAsync(n[0]):n,"FlateDecode");if(r.length>=256||o)try{const e=new CompressionStream("deflate\ +"),t=e.writable.getWriter();await t.ready;t.write(r).then((async()=>{await t.ready;await t.close()})).catch((()=>{}));const a=await new Response(e.readable).arrayBuffer();r=new Uint8Array(a);let c,l;if(n){if(!o){c=Array.isArray(n)?[Name.get("FlateDecode"),...n]:[Name.get("FlateDecode"),n];s&&(l=Array.isArray(s)?[null,...s]:[null,s])}}else c=Name.get("FlateDecode");c&&i.set("Filter",c);l&&i.set("DecodeParms",l)}catch(e){info(`writeStream - cannot compress data: "${e}".`)}let c=bytesToString(r);a&\ +&(c=a.encryptString(c));i.set("Length",c.length);await writeDict(i,t,a);t.push(" stream\\n",c,"\\nendstream")}async function writeArray(e,t,a){t.push("[");let r=!0;for(const i of e){r?r=!1:t.push(" ");await writeValue(i,t,a)}t.push("]")}async function writeValue(e,t,a){if(e instanceof Name)t.push(`/${escapePDFName(e.name)}`);else if(e instanceof Ref)t.push(`${e.num} ${e.gen} R`);else if(Array.isArray(e)||ArrayBuffer.isView(e))await writeArray(e,t,a);else if("string"==typeof e){a&&(e=a.encryptStrin\ +g(e));t.push(`(${escapeString(e)})`)}else"number"==typeof e?t.push(numberToString(e)):"boolean"==typeof e?t.push(e.toString()):e instanceof Dict?await writeDict(e,t,a):e instanceof BaseStream?await writeStream(e,t,a):null===e?t.push("null"):warn(`Unhandled value in writer: ${typeof e}, please file a bug.`)}function writeInt(e,t,a,r){for(let i=t+a-1;i>a-1;i--){r[i]=255&e;e>>=8}return a+t}function writeString(e,t,a){const r=e.length;for(let i=0;i1&&(n=a.documentElement.searchNode([i.at(-1)],0));n?n.childNodes=Array.isArray(r)?r.map((e=>new SimpleDOMNode("value",e))):[new SimpleDOMNode("#text",r)]:warn(`Node not\ + found for path: ${t}`)}const r=[];a.documentElement.dump(r);return r.join("")}(r.fetchIfRef(t).getString(),a)}const i=new StringStream(e);i.dict=new Dict(r);i.dict.setIfName("Type","EmbeddedFile");a.put(t,{data:i})}function getIndexes(e){const t=[];for(const{ref:a}of e)a.num===t.at(-2)+t.at(-1)?t[t.length-1]+=1:t.push(a.num,1);return t}function computeIDs(e,t,a){if(Array.isArray(t.fileIds)&&t.fileIds.length>0){const r=function computeMD5(e,t){const a=Math.floor(Date.now()/1e3),r=t.filename||"",\ +i=[a.toString(),r,e.toString(),...t.infoMap.values()],n=Math.sumPrecise(i.map((e=>e.length))),s=new Uint8Array(n);let o=0;for(const e of i)o=writeString(e,o,s);return bytesToString(calculateMD5(s,0,s.length))}(e,t);a.set("ID",[t.fileIds[0],r])}}async function incrementalUpdate({originalData:e,xrefInfo:t,changes:a,xref:r=null,hasXfa:i=!1,xfaDatasetsRef:n=null,hasXfaDatasetsEntry:s=!1,needAppearances:o,acroFormRef:c=null,acroForm:l=null,xfaData:h=null,useXrefStream:u=!1}){await async function upda\ +teAcroform({xref:e,acroForm:t,acroFormRef:a,hasXfa:r,hasXfaDatasetsEntry:i,xfaDatasetsRef:n,needAppearances:s,changes:o}){!r||i||n||warn("XFA - Cannot save it");if(!s&&(!r||!n||i))return;const c=t.clone();if(r&&!i){const e=t.get("XFA").slice();e.splice(2,0,"datasets");e.splice(3,0,n);c.set("XFA",e)}s&&c.set("NeedAppearances",!0);o.put(a,{data:c})}({xref:r,acroForm:l,acroFormRef:c,hasXfa:i,hasXfaDatasetsEntry:s,xfaDatasetsRef:n,needAppearances:o,changes:a});i&&updateXFA({xfaData:h,xfaDatasetsRef:\ +n,changes:a,xref:r});const d=function getTrailerDict(e,t,a){const r=new Dict(null);r.set("Prev",e.startXRef);const i=e.newRef;if(a){t.put(i,{data:""});r.set("Size",i.num+1);r.setIfName("Type","XRef")}else r.set("Size",i.num);null!==e.rootRef&&r.set("Root",e.rootRef);null!==e.infoRef&&r.set("Info",e.infoRef);null!==e.encryptRef&&r.set("Encrypt",e.encryptRef);return r}(t,a,u),f=[],g=await async function writeChanges(e,t,a=[]){const r=[];for(const[i,{data:n}]of e.items())if(null!==n&&"string"!=type\ +of n){await writeObject(i,n,a,t);r.push({ref:i,data:a.join("")});a.length=0}else r.push({ref:i,data:n});return r.sort(((e,t)=>e.ref.num-t.ref.num))}(a,r,f);let p=e.length;const m=e.at(-1);if(10!==m&&13!==m){f.push("\\n");p+=1}for(const{data:e}of g)null!==e&&f.push(e);await(u?async function getXRefStreamTable(e,t,a,r,i){const n=[];let s=0,o=0;for(const{ref:e,data:r}of a){let a;s=Math.max(s,t);if(null!==r){a=Math.min(e.gen,65535);n.push([1,t,a]);t+=r.length}else{a=Math.min(e.gen+1,65535);n.push([0,\ +0,a])}o=Math.max(o,a)}r.set("Index",getIndexes(a));const c=[1,getSizeInBytes(s),getSizeInBytes(o)];r.set("W",c);computeIDs(t,e,r);const l=Math.sumPrecise(c),h=new Uint8Array(l*n.length),u=new Stream(h);u.dict=r;let d=0;for(const[e,t,a]of n){d=writeInt(e,c[0],d,h);d=writeInt(t,c[1],d,h);d=writeInt(a,c[2],d,h)}await writeObject(e.newRef,u,i,{});i.push("startxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f):async function getXRefTable(e,t,a,r,i){i.push("xref\\n");const n=getIndexes(a);let s=0;for(const{\ +ref:e,data:r}of a){if(e.num===n[s]){i.push(`${n[s]} ${n[s+1]}\\n`);s+=2}if(null!==r){i.push(`${t.toString().padStart(10,"0")} ${Math.min(e.gen,65535).toString().padStart(5,"0")} n\\r\\n`);t+=r.length}else i.push(`0000000000 ${Math.min(e.gen+1,65535).toString().padStart(5,"0")} f\\r\\n`)}computeIDs(t,e,r);i.push("trailer\\n");await writeDict(r,i);i.push("\\nstartxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f));const b=e.length+Math.sumPrecise(f.map((e=>e.length))),y=new Uint8Array(b);y.set(e);let w=e.leng\ +th;for(const e of f)w=writeString(e,w,y);return y}class PDFWorkerStream{constructor(e){this._msgHandler=e;this._contentLength=null;this._fullRequestReader=null;this._rangeRequestReaders=[]}getFullReader(){assert(!this._fullRequestReader,"PDFWorkerStream.getFullReader can only be called once.");this._fullRequestReader=new PDFWorkerStreamReader(this._msgHandler);return this._fullRequestReader}getRangeReader(e,t){const a=new PDFWorkerStreamRangeReader(e,t,this._msgHandler);this._rangeRequestReaders\ +.push(a);return a}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class PDFWorkerStreamReader{constructor(e){this._msgHandler=e;this.onProgress=null;this._contentLength=null;this._isRangeSupported=!1;this._isStreamingSupported=!1;const t=this._msgHandler.sendWithStream("GetReader");this._reader=t.getReader();this._headersReady=this._msgHandler.sendWithPromise("ReaderHeadersReady").then((e=>{this._isStreamingSupported=e.isStre\ +amingSupported;this._isRangeSupported=e.isRangeSupported;this._contentLength=e.contentLength}))}get headersReady(){return this._headersReady}get contentLength(){return this._contentLength}get isStreamingSupported(){return this._isStreamingSupported}get isRangeSupported(){return this._isRangeSupported}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class PDFWorkerStreamRangeReader{constructor(e\ +,t,a){this._msgHandler=a;this.onProgress=null;const r=this._msgHandler.sendWithStream("GetRangeReader",{begin:e,end:t});this._reader=r.getReader()}get isStreamingSupported(){return!1}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class WorkerTask{constructor(e){this.name=e;this.terminated=!1;this._capability=Promise.withResolvers()}get finished(){return this._capability.promise}finish(){this.\ +_capability.resolve()}terminate(){this.terminated=!0}ensureNotTerminated(){if(this.terminated)throw new Error("Worker task was terminated")}}class WorkerMessageHandler{static{"undefined"==typeof window&&!e&&"undefined"!=typeof self&&"function"==typeof self.postMessage&&"onmessage"in self&&this.initializeFromPort(self)}static setup(e,t){let a=!1;e.on("test",(t=>{if(!a){a=!0;e.send("test",t instanceof Uint8Array)}}));e.on("configure",(e=>{!function setVerbosityLevel(e){Number.isInteger(e)&&(da=e)}\ +(e.verbosity)}));e.on("GetDocRequest",(e=>this.createDocumentHandler(e,t)))}static createDocumentHandler(e,t){let a,r=!1,i=null;const n=new Set,s=getVerbosityLevel(),{docId:o,apiVersion:c}=e,l="5.4.54";if(c!==l)throw new Error(`The API version "${c}" does not match the Worker version "${l}".`);const buildMsg=(e,t)=>`The \\`${e}.prototype\\` contains unexpected enumerable property "${t}", thus breaking e.g. \\`for...in\\` iteration of ${e}s.`;for(const e in{})throw new Error(buildMsg("Object",e));for\ +(const e in[])throw new Error(buildMsg("Array",e));const h=o+"_worker";let u=new MessageHandler(h,o,t);function ensureNotTerminated(){if(r)throw new Error("Worker was terminated")}function startWorkerTask(e){n.add(e)}function finishWorkerTask(e){e.finish();n.delete(e)}async function loadDocument(e){await a.ensureDoc("checkHeader");await a.ensureDoc("parseStartXRef");await a.ensureDoc("parse",[e]);await a.ensureDoc("checkFirstPage",[e]);await a.ensureDoc("checkLastPage",[e]);const t=await a.ensur\ +eDoc("isPureXfa");if(t){const e=new WorkerTask("loadXfaResources");startWorkerTask(e);await a.ensureDoc("loadXfaResources",[u,e]);finishWorkerTask(e)}const[r,i]=await Promise.all([a.ensureDoc("numPages"),a.ensureDoc("fingerprints")]);return{numPages:r,fingerprints:i,htmlForXfa:t?await a.ensureDoc("htmlForXfa"):null}}function setupDoc(e){function onSuccess(e){ensureNotTerminated();u.send("GetDoc",{pdfInfo:e})}function onFailure(e){ensureNotTerminated();if(e instanceof PasswordException){const t=n\ +ew WorkerTask(`PasswordException: response ${e.code}`);startWorkerTask(t);u.sendWithPromise("PasswordRequest",e).then((function({password:e}){finishWorkerTask(t);a.updatePassword(e);pdfManagerReady()})).catch((function(){finishWorkerTask(t);u.send("DocException",e)}))}else u.send("DocException",wrapReason(e))}function pdfManagerReady(){ensureNotTerminated();loadDocument(!1).then(onSuccess,(function(e){ensureNotTerminated();e instanceof XRefParseException?a.requestLoadedStream().then((function(){\ +ensureNotTerminated();loadDocument(!0).then(onSuccess,onFailure)})):onFailure(e)}))}ensureNotTerminated();(async function getPdfManager({data:e,password:t,disableAutoFetch:a,rangeChunkSize:r,length:n,docBaseUrl:s,enableXfa:c,evaluatorOptions:l}){const h={source:null,disableAutoFetch:a,docBaseUrl:s,docId:o,enableXfa:c,evaluatorOptions:l,handler:u,length:n,password:t,rangeChunkSize:r};if(e){h.source=e;return new LocalPdfManager(h)}const d=new PDFWorkerStream(u),f=d.getFullReader(),g=Promise.withRe\ +solvers();let p,m=[],b=0;f.headersReady.then((function(){if(f.isRangeSupported){h.source=d;h.length=f.contentLength;h.disableAutoFetch||=f.isStreamingSupported;p=new NetworkPdfManager(h);for(const e of m)p.sendProgressiveData(e);m=[];g.resolve(p);i=null}})).catch((function(e){g.reject(e);i=null}));new Promise((function(e,t){const readChunk=function({value:e,done:a}){try{ensureNotTerminated();if(a){if(!p){const e=arrayBuffersToBytes(m);m=[];n&&e.length!==n&&warn("reported HTTP length is different\ + from actual");h.source=e;p=new LocalPdfManager(h);g.resolve(p)}i=null;return}b+=e.byteLength;f.isStreamingSupported||u.send("DocProgress",{loaded:b,total:Math.max(b,f.contentLength||0)});p?p.sendProgressiveData(e):m.push(e);f.read().then(readChunk,t)}catch(e){t(e)}};f.read().then(readChunk,t)})).catch((function(e){g.reject(e);i=null}));i=e=>{d.cancelAllRequests(e)};return g.promise})(e).then((function(e){if(r){e.terminate(new AbortException("Worker was terminated."));throw new Error("Worker was\ + terminated")}a=e;a.requestLoadedStream(!0).then((e=>{u.send("DataLoaded",{length:e.bytes.byteLength})}))})).then(pdfManagerReady,onFailure)}u.on("GetPage",(function(e){return a.getPage(e.pageIndex).then((function(e){return Promise.all([a.ensure(e,"rotate"),a.ensure(e,"ref"),a.ensure(e,"userUnit"),a.ensure(e,"view")]).then((function([e,t,a,r]){return{rotate:e,ref:t,refStr:t?.toString()??null,userUnit:a,view:r}}))}))}));u.on("GetPageIndex",(function(e){const t=Ref.get(e.num,e.gen);return a.ensure\ +Catalog("getPageIndex",[t])}));u.on("GetDestinations",(function(e){return a.ensureCatalog("destinations")}));u.on("GetDestination",(function(e){return a.ensureCatalog("getDestination",[e.id])}));u.on("GetPageLabels",(function(e){return a.ensureCatalog("pageLabels")}));u.on("GetPageLayout",(function(e){return a.ensureCatalog("pageLayout")}));u.on("GetPageMode",(function(e){return a.ensureCatalog("pageMode")}));u.on("GetViewerPreferences",(function(e){return a.ensureCatalog("viewerPreferences")}))\ +;u.on("GetOpenAction",(function(e){return a.ensureCatalog("openAction")}));u.on("GetAttachments",(function(e){return a.ensureCatalog("attachments")}));u.on("GetDocJSActions",(function(e){return a.ensureCatalog("jsActions")}));u.on("GetPageJSActions",(function({pageIndex:e}){return a.getPage(e).then((e=>a.ensure(e,"jsActions")))}));u.on("GetOutline",(function(e){return a.ensureCatalog("documentOutline")}));u.on("GetOptionalContentConfig",(function(e){return a.ensureCatalog("optionalContentConfig"\ +)}));u.on("GetPermissions",(function(e){return a.ensureCatalog("permissions")}));u.on("GetMetadata",(function(e){return Promise.all([a.ensureDoc("documentInfo"),a.ensureCatalog("metadata")])}));u.on("GetMarkInfo",(function(e){return a.ensureCatalog("markInfo")}));u.on("GetData",(function(e){return a.requestLoadedStream().then((e=>e.bytes))}));u.on("GetAnnotations",(function({pageIndex:e,intent:t}){return a.getPage(e).then((function(a){const r=new WorkerTask(`GetAnnotations: page ${e}`);startWork\ +erTask(r);return a.getAnnotationsData(u,r,t).then((e=>{finishWorkerTask(r);return e}),(e=>{finishWorkerTask(r);throw e}))}))}));u.on("GetFieldObjects",(function(e){return a.ensureDoc("fieldObjects").then((e=>e?.allFields||null))}));u.on("HasJSActions",(function(e){return a.ensureDoc("hasJSActions")}));u.on("GetCalculationOrderIds",(function(e){return a.ensureDoc("calculationOrderIds")}));u.on("SaveDocument",(async function({isPureXfa:e,numPages:t,annotationStorage:r,filename:i}){const n=[a.reque\ +stLoadedStream(),a.ensureCatalog("acroForm"),a.ensureCatalog("acroFormRef"),a.ensureDoc("startXRef"),a.ensureDoc("xref"),a.ensureDoc("linearization"),a.ensureCatalog("structTreeRoot")],s=new RefSetCache,o=[],c=e?null:getNewAnnotationsMap(r),[l,h,d,f,g,p,m]=await Promise.all(n),b=g.trailer.getRaw("Root")||null;let y;if(c){m?await m.canUpdateStructTree({pdfManager:a,newAnnotationsByPage:c})&&(y=m):await StructTreeRoot.canCreateStructureTree({catalogRef:b,pdfManager:a,newAnnotationsByPage:c})&&(y=n\ +ull);const e=AnnotationFactory.generateImages(r.values(),g,a.evaluatorOptions.isOffscreenCanvasSupported),t=void 0===y?o:[];for(const[r,i]of c)t.push(a.getPage(r).then((t=>{const a=new WorkerTask(`Save (editor): page ${r}`);startWorkerTask(a);return t.saveNewAnnotations(u,a,i,e,s).finally((function(){finishWorkerTask(a)}))})));null===y?o.push(Promise.all(t).then((async()=>{await StructTreeRoot.createStructureTree({newAnnotationsByPage:c,xref:g,catalogRef:b,pdfManager:a,changes:s})}))):y&&o.push(\ +Promise.all(t).then((async()=>{await y.updateStructureTree({newAnnotationsByPage:c,pdfManager:a,changes:s})})))}if(e)o.push(a.ensureDoc("serializeXfaData",[r]));else for(let e=0;ee.needAppearances)),k=h instanceof Dict&&h.get("XFA")||null;let C=null,v=!1;if(Array.isArray(k)){for(let e=0,t=k.length;e{g.resetNewTemporaryRef()}))}));u.on("GetOperatorList",(function(e,t){const r=e.pageIndex;a.getPage(r).then((function(a\ +){const i=new WorkerTask(`GetOperatorList: page ${r}`);startWorkerTask(i);const n=s>=Ae?Date.now():0;a.getOperatorList({handler:u,sink:t,task:i,intent:e.intent,cacheKey:e.cacheKey,annotationStorage:e.annotationStorage,modifiedIds:e.modifiedIds}).then((function(e){finishWorkerTask(i);n&&info(`page=${r+1} - getOperatorList: time=${Date.now()-n}ms, len=${e.length}`);t.close()}),(function(e){finishWorkerTask(i);i.terminated||t.error(e)}))}))}));u.on("GetTextContent",(function(e,t){const{pageIndex:r,\ +includeMarkedContent:i,disableNormalization:n}=e;a.getPage(r).then((function(e){const a=new WorkerTask("GetTextContent: page "+r);startWorkerTask(a);const o=s>=Ae?Date.now():0;e.extractTextContent({handler:u,task:a,sink:t,includeMarkedContent:i,disableNormalization:n}).then((function(){finishWorkerTask(a);o&&info(`page=${r+1} - getTextContent: time=`+(Date.now()-o)+"ms");t.close()}),(function(e){finishWorkerTask(a);a.terminated||t.error(e)}))}))}));u.on("GetStructTree",(function(e){return a.getP\ +age(e.pageIndex).then((e=>a.ensure(e,"getStructTree")))}));u.on("FontFallback",(function(e){return a.fontFallback(e.id,u)}));u.on("Cleanup",(function(e){return a.cleanup(!0)}));u.on("Terminate",(function(e){r=!0;const t=[];if(a){a.terminate(new AbortException("Worker was terminated."));const e=a.cleanup();t.push(e);a=null}else clearGlobalCaches();i?.(new AbortException("Worker was terminated."));for(const e of n){t.push(e.finished);e.terminate()}return Promise.all(t).then((function(){u.destroy()\ +;u=null}))}));u.on("Ready",(function(t){setupDoc(e);e=null}));return h}static initializeFromPort(e){const t=new MessageHandler("worker","main",e);this.setup(t,e);t.send("ready",null)}}globalThis.pdfjsWorker={WorkerMessageHandler};export{WorkerMessageHandler};',pdf_worker_min$1=Object.freeze(Object.defineProperty({__proto__:null,default:pdf_worker_min},Symbol.toStringTag,{value:"Module"}));export{app,start}; diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp index 21c843c0d6..0675ce31d0 100644 --- a/tools/server/server-common.cpp +++ b/tools/server/server-common.cpp @@ -1082,11 +1082,12 @@ json oaicompat_chat_params_parse( throw std::invalid_argument("Cannot have 2 or more assistant messages at the end of the list."); } - /* TODO: test this properly */ - inputs.reasoning_format = COMMON_REASONING_FORMAT_NONE; - - if ( inputs.enable_thinking ) { - throw std::invalid_argument("Assistant response prefill is incompatible with enable_thinking."); + // reject reasoning prefill on channel based templates that do not expose explicit thinking tags + if (!last_message.reasoning_content.empty() && inputs.enable_thinking) { + auto probe_params = common_chat_templates_apply(opt.tmpls.get(), inputs); + if (probe_params.supports_thinking && probe_params.thinking_end_tag.empty()) { + throw std::invalid_argument("Assistant prefill with reasoning_content is not supported yet for this template."); + } } inputs.add_generation_prompt = true; @@ -1098,6 +1099,42 @@ json oaicompat_chat_params_parse( /* Append assistant prefilled message */ if (prefill_assistant_message) { + const bool thinking_active = chat_params.supports_thinking && !chat_params.thinking_end_tag.empty(); + const bool has_reasoning = !last_message.reasoning_content.empty(); + const bool has_content = !last_message.content.empty() || !last_message.content_parts.empty(); + const bool mid_reasoning = has_reasoning && !has_content; + + // some templates inject thinking_start in generation_prompt, others let the model emit it + const bool gp_has_think = thinking_active + && chat_params.generation_prompt.find(chat_params.thinking_start_tag) != std::string::npos; + + // open the thinking block when reasoning is present and the template did not inject it + if (has_reasoning) { + if (thinking_active && !gp_has_think) { + chat_params.prompt += chat_params.thinking_start_tag; + } + chat_params.prompt += last_message.reasoning_content; + } + + if (thinking_active) { + if (mid_reasoning) { + // model continues inside the thinking block, keep generation_prompt open on think + if (!gp_has_think) { + chat_params.generation_prompt += chat_params.thinking_start_tag; + } + } else { + // close thinking block when reasoning is followed by content, or when the template forced it open + if (has_reasoning || gp_has_think) { + chat_params.prompt += chat_params.thinking_end_tag; + } + // strip thinking_start from generation_prompt so the parser routes model output as content + auto pos = chat_params.generation_prompt.rfind(chat_params.thinking_start_tag); + if (pos != std::string::npos) { + chat_params.generation_prompt = chat_params.generation_prompt.substr(0, pos); + } + } + } + if (!last_message.content_parts.empty()) { for (auto & p : last_message.content_parts) { chat_params.prompt += p.text; diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index e3822225bd..ce743e6656 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -36,31 +36,6 @@ using json = nlohmann::ordered_json; constexpr int HTTP_POLLING_SECONDS = 1; -static server_prompt_checkpoint server_get_checkpoint(llama_context * ctx, int id, int64_t n_tokens, llama_pos pos_min = -1, llama_pos pos_max = -1) { - if (pos_min == -1) { - pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), id); - } - if (pos_max == -1) { - pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), id); - } - - const size_t checkpoint_size = llama_state_seq_get_size_ext(ctx, id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - - auto cur = server_prompt_checkpoint { - /*.pos_min = */ pos_min, - /*.pos_max = */ pos_max, - /*.n_tokens = */ n_tokens, - /*.data = */ std::vector(checkpoint_size), - }; - - const size_t n = llama_state_seq_get_data_ext(ctx, cur.data.data(), checkpoint_size, id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - if (n != checkpoint_size) { - GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", checkpoint_size, n); - } - - return cur; -} - // state diagram: https://github.com/ggml-org/llama.cpp/pull/9283 enum slot_state { SLOT_STATE_IDLE, @@ -79,18 +54,19 @@ enum server_state { struct server_slot { int id; - llama_context * ctx = nullptr; - - common_context_seq_rm_type ctx_seq_rm_type = COMMON_CONTEXT_SEQ_RM_TYPE_NO; + llama_context * ctx_tgt = nullptr; + llama_context * ctx_dft = nullptr; // multimodal mtmd_context * mctx = nullptr; // speculative decoding + common_speculative * spec; + llama_tokens spec_draft; + llama_tokens spec_prompt; std::vector spec_i_batch; - server_prompt_checkpoint spec_ckpt; - common_speculative_ptr spec; + common_prompt_checkpoint spec_ckpt; // TODO: move members that belong to the task (such as `generated_text`, `has_new_line`) to task_results_state // see https://github.com/ggml-org/llama.cpp/pull/18283#issuecomment-3710175837 @@ -134,21 +110,27 @@ struct server_slot { void prompt_save(server_prompt_cache & prompt_cache) const { GGML_ASSERT(prompt.data.size() == 0); - const size_t cur_size = llama_state_seq_get_size_ext(ctx, id, 0); + const size_t cur_size_tgt = llama_state_seq_get_size_ext(ctx_tgt, id, LLAMA_STATE_SEQ_FLAGS_NONE); + const size_t cur_size_dft = ctx_dft ? llama_state_seq_get_size_ext(ctx_dft, id, LLAMA_STATE_SEQ_FLAGS_NONE) : 0; - SRV_WRN(" - saving prompt with length %d, total state size = %.3f MiB\n", - (int) prompt.tokens.size(), cur_size / (1024.0 * 1024.0)); + const size_t cur_size = cur_size_tgt + cur_size_dft; - auto * cur = prompt_cache.alloc(prompt, cur_size); + SRV_WRN(" - saving prompt with length %d, total state size = %.3f MiB (draft: %.3f MiB)\n", + (int) prompt.tokens.size(), cur_size / (1024.0 * 1024.0), cur_size_dft / (1024.0 * 1024.0)); + + auto * cur = prompt_cache.alloc(prompt, cur_size_tgt, cur_size_dft); if (cur == nullptr) { return; } - llama_state_seq_get_data_ext(ctx, cur->data.data(), cur_size, id, 0); + llama_state_seq_get_data_ext(ctx_tgt, cur->data.main.data(), cur_size_tgt, id, LLAMA_STATE_SEQ_FLAGS_NONE); + if (ctx_dft) { + llama_state_seq_get_data_ext(ctx_dft, cur->data.drft.data(), cur_size_dft, id, LLAMA_STATE_SEQ_FLAGS_NONE); + } } bool prompt_load(server_prompt_cache & prompt_cache, const server_tokens & tokens) { - bool res = prompt_cache.load(prompt, tokens, ctx, id); + bool res = prompt_cache.load(prompt, tokens, ctx_tgt, ctx_dft, id); if (!res) { SLT_WRN(*this, "%s", "failed to load prompt from cache\n"); } @@ -163,7 +145,11 @@ struct server_slot { SLT_INF(*this, "clearing prompt with %zu tokens\n", prompt.tokens.size()); - llama_memory_seq_rm(llama_get_memory(ctx), id, -1, -1); + llama_memory_seq_rm(llama_get_memory(ctx_tgt), id, -1, -1); + if (ctx_dft) { + llama_memory_seq_rm(llama_get_memory(ctx_dft), id, -1, -1); + } + prompt.tokens.clear(); } @@ -221,7 +207,7 @@ struct server_slot { task_prev = std::move(task); task.reset(); - llama_set_sampler(ctx, id, nullptr); + llama_set_sampler(ctx_tgt, id, nullptr); // clear alora start alora_invocation_start = -1; @@ -258,7 +244,7 @@ struct server_slot { return !task->need_embd() || - (llama_get_memory(ctx) && llama_pooling_type(ctx) == LLAMA_POOLING_TYPE_LAST); + (llama_get_memory(ctx_tgt) && llama_pooling_type(ctx_tgt) == LLAMA_POOLING_TYPE_LAST); } bool can_batch_with(server_slot & other_slot) const { @@ -309,14 +295,10 @@ struct server_slot { return 0; } - const int n_draft_min = common_speculative_n_min(spec.get(), task->params.speculative); - // determine the max draft that fits the current slot state - int n_draft_max = common_speculative_n_max(spec.get(), task->params.speculative); - // note: slot.prompt is not yet expanded with the `id` token sampled above // also, need to leave space for 1 extra token to allow context shifts - n_draft_max = std::min(n_draft_max, n_ctx - prompt.n_tokens() - 2); + int n_draft_max = n_ctx - prompt.n_tokens() - 2; if (n_remaining > 0) { n_draft_max = std::min(n_draft_max, n_remaining - 1); @@ -324,55 +306,10 @@ struct server_slot { SLT_DBG(*this, "max possible draft: %d\n", n_draft_max); - if (n_draft_max < n_draft_min) { - SLT_DBG(*this, "the max possible draft is too small: %d < %d - skipping speculative decoding\n", n_draft_max, n_draft_min); - n_draft_max = 0; - } - return n_draft_max; } void update_batch(llama_batch & batch) { - const int n_draft_max = get_n_draft_max(); - if (n_draft_max > 0) { - GGML_ASSERT(can_speculate()); - - // generate draft tokens in speculative decoding mode - // TODO: rework to have a single draft llama_context shared across all slots [TAG_SERVER_SPEC_REWORK] - // perform the speculative drafting for all sequences at the same time in a single batch - const llama_tokens & tokens = prompt.tokens.get_text_tokens(); - - const auto & params_spec = task->params.speculative; - - if (!spec_draft.empty()) { - // we have a previous (partial) draft to reuse - if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) { - GGML_ASSERT(!spec_ckpt.empty()); - } - } else { - GGML_ASSERT(spec_i_batch.empty()); - - // generate a new draft - spec_draft = common_speculative_draft(spec.get(), params_spec, tokens, sampled); - - if (spec_draft.size() > (size_t) n_draft_max) { - SLT_WRN(*this, "draft size %d exceeds max %d, truncating\n", (int) spec_draft.size(), n_draft_max); - spec_draft.resize(n_draft_max); - } - - if (!spec_draft.empty() && ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) { - const auto n_tokens = prompt.tokens.size(); - - spec_ckpt = server_get_checkpoint(ctx, this->id, n_tokens); - - SLT_DBG(*this, "created speculative checkpoint (pos_min = %d, pos_max = %d, n_tokens = %zu, size = %.3f MiB)\n", - spec_ckpt.pos_min, spec_ckpt.pos_max, n_tokens, (float) spec_ckpt.data.size() / 1024 / 1024); - } - } - - GGML_ASSERT(spec_draft.size() <= (size_t) n_draft_max); - } - if (spec_draft.empty()) { // no speculative decoding i_batch = batch.n_tokens; @@ -504,7 +441,7 @@ struct server_slot { ); } - common_speculative_print_stats(spec.get()); + common_speculative_print_stats(spec); } json to_json(bool only_metrics = false) const { @@ -532,7 +469,7 @@ struct server_slot { }; if (!only_metrics) { - res["prompt"] = ptask->tokens.detokenize(ctx, true); + res["prompt"] = ptask->tokens.detokenize(ctx_tgt, true); res["generated"] = generated_text.empty() ? debug_generated_text : generated_text; } } @@ -543,8 +480,13 @@ struct server_slot { void copy_state_to(server_slot & other) const { GGML_ASSERT(state == SLOT_STATE_DONE_PROMPT); - llama_memory_seq_rm(llama_get_memory(ctx), other.id, -1, -1); - llama_memory_seq_cp(llama_get_memory(ctx), id, other.id, -1, -1); + llama_memory_seq_rm(llama_get_memory(ctx_tgt), other.id, -1, -1); + llama_memory_seq_cp(llama_get_memory(ctx_tgt), id, other.id, -1, -1); + + if (ctx_dft) { + llama_memory_seq_rm(llama_get_memory(ctx_dft), other.id, -1, -1); + llama_memory_seq_cp(llama_get_memory(ctx_dft), id, other.id, -1, -1); + } other.n_decoded = n_decoded; other.n_remaining = n_remaining; @@ -635,7 +577,8 @@ public: // only use these pointers outside of this class: // - when not in sleeping state // - and, with thread-safe APIs (e.g., tokenizer calls) - llama_model * model = nullptr; + llama_model * model_tgt = nullptr; + mtmd_context * mctx = nullptr; const llama_vocab * vocab = nullptr; @@ -662,11 +605,17 @@ private: // note: keep these alive - they determine the lifetime of the model, context, etc. common_init_result_ptr llama_init; - llama_context * ctx = nullptr; + llama_context * ctx_tgt = nullptr; llama_batch batch {}; llama_model_ptr model_dft; + llama_context_ptr ctx_dft; + + common_context_seq_rm_type ctx_tgt_seq_rm_type = COMMON_CONTEXT_SEQ_RM_TYPE_NO; + common_context_seq_rm_type ctx_dft_seq_rm_type = COMMON_CONTEXT_SEQ_RM_TYPE_NO; + + common_speculative_ptr spec; bool add_bos_token = true; @@ -679,6 +628,7 @@ private: // slots / clients std::vector slots; + int trace = 0; int slots_debug = 0; int n_empty_consecutive = 0; @@ -700,18 +650,12 @@ private: void destroy() { llama_init.reset(); - ctx = nullptr; - model = nullptr; + ctx_tgt = nullptr; + model_tgt = nullptr; mtmd_free(mctx); mctx = nullptr; - for (server_slot & slot : slots) { - if (slot.can_speculate()) { - slot.spec.reset(); - } - } - llama_batch_free(batch); } @@ -751,17 +695,17 @@ private: llama_init = common_init_from_params(params_base); - model = llama_init->model(); - ctx = llama_init->context(); + model_tgt = llama_init->model(); + ctx_tgt = llama_init->context(); - if (model == nullptr) { + if (model_tgt == nullptr) { SRV_ERR("failed to load model, '%s'\n", params_base.model.path.c_str()); return false; } - vocab = llama_model_get_vocab(model); + vocab = llama_model_get_vocab(model_tgt); - n_ctx = llama_n_ctx(ctx); + n_ctx = llama_n_ctx(ctx_tgt); add_bos_token = llama_vocab_get_add_bos(vocab); @@ -773,9 +717,6 @@ private: auto params_dft = params_base; - params_dft.n_parallel = 1; - params_dft.n_ctx = params_spec.n_ctx == 0 ? llama_n_ctx_seq(ctx) : params_spec.n_ctx; - params_dft.n_batch = llama_n_ctx_seq(ctx); params_dft.devices = params_spec.devices; params_dft.model = params_spec.mparams; params_dft.n_gpu_layers = params_spec.n_gpu_layers; @@ -797,8 +738,13 @@ private: return false; } - params_base.speculative.draft.model = model_dft.get(); - params_base.speculative.draft.cparams = common_context_params_to_llama(params_dft); + auto cparams = common_context_params_to_llama(params_dft); + ctx_dft.reset(llama_init_from_model(model_dft.get(), cparams)); + + ctx_dft_seq_rm_type = common_context_can_seq_rm(ctx_dft.get()); + + params_base.speculative.draft.ctx_tgt = ctx_tgt; + params_base.speculative.draft.ctx_dft = ctx_dft.get(); } std::string & mmproj_path = params_base.mmproj.path; @@ -818,7 +764,7 @@ private: mparams.image_max_tokens = params_base.image_max_tokens; mparams.media_marker = get_media_marker(); - mctx = mtmd_init_from_file(mmproj_path.c_str(), model, mparams); + mctx = mtmd_init_from_file(mmproj_path.c_str(), model_tgt, mparams); if (mctx == nullptr) { SRV_ERR("failed to load multimodal model, '%s'\n", mmproj_path.c_str()); return false; @@ -836,7 +782,7 @@ private: } } - if (!llama_memory_can_shift(llama_get_memory(ctx))) { + if (!llama_memory_can_shift(llama_get_memory(ctx_tgt))) { if (params_base.ctx_shift) { params_base.ctx_shift = false; SRV_WRN("%s\n", "ctx_shift is not supported by this context, it will be disabled"); @@ -848,14 +794,14 @@ private: } } - if (llama_model_n_swa(model) == 0) { + if (llama_model_n_swa(model_tgt) == 0) { if (params_base.swa_full) { params_base.swa_full = false; SRV_WRN("%s\n", "swa_full is not supported by this model, it will be disabled"); } } - n_swa = params_base.swa_full ? 0 : llama_model_n_swa(model); + n_swa = params_base.swa_full ? 0 : llama_model_n_swa(model_tgt); // Necessary similarity of prompt for slot selection slot_prompt_similarity = params_base.slot_prompt_similarity; @@ -863,9 +809,9 @@ private: // setup slots SRV_INF("initializing slots, n_slots = %d\n", params_base.n_parallel); - const int n_ctx_train = llama_model_n_ctx_train(model); + const int n_ctx_train = llama_model_n_ctx_train(model_tgt); - int n_ctx_slot = llama_n_ctx_seq(ctx); + int n_ctx_slot = llama_n_ctx_seq(ctx_tgt); if (n_ctx_slot > n_ctx_train) { SRV_WRN("the slot context (%d) exceeds the training context of the model (%d) - capping\n", n_ctx_slot, n_ctx_train); n_ctx_slot = n_ctx_train; @@ -873,12 +819,12 @@ private: slots.clear(); - const auto ctx_seq_rm_type = common_context_can_seq_rm(ctx); - if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_NO) { + ctx_tgt_seq_rm_type = common_context_can_seq_rm(ctx_tgt); + if (ctx_tgt_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_NO) { SRV_WRN("%s", "speculative decoding not supported by this context\n"); } - if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) { + if (ctx_tgt_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) { SRV_WRN("%s", "speculative decoding will use checkpoints\n"); } @@ -887,27 +833,33 @@ private: slots.emplace_back(); } + // try speculative decoding + if (ctx_tgt_seq_rm_type != COMMON_CONTEXT_SEQ_RM_TYPE_NO) { + try { + spec.reset(common_speculative_init(params_base.speculative, params_base.n_parallel)); + } catch (const std::exception & e) { + SRV_ERR("failed to initialize speculative decoding context: %s\n", e.what()); + } + } + + if (spec) { + SRV_INF("%s", "speculative decoding context initialized\n"); + } else { + ctx_dft.reset(); + } + for (int i = 0; i < params_base.n_parallel; i++) { server_slot & slot = slots[i]; - slot.id = i; - slot.ctx = ctx; - slot.n_ctx = n_ctx_slot; - - slot.ctx_seq_rm_type = ctx_seq_rm_type; + slot.id = i; + slot.ctx_tgt = ctx_tgt; + slot.ctx_dft = ctx_dft.get(); + slot.spec = spec.get(); + slot.n_ctx = n_ctx_slot; slot.mctx = mctx; slot.prompt.tokens.has_mtmd = mctx != nullptr; - // try speculative decoding - if (ctx_seq_rm_type != COMMON_CONTEXT_SEQ_RM_TYPE_NO) { - slot.spec.reset(common_speculative_init(params_base.speculative, slot.ctx)); - - if (slot.spec) { - SLT_INF(slot, "%s", "speculative decoding context initialized\n"); - } - } - SLT_INF(slot, "new slot, n_ctx = %d\n", slot.n_ctx); slot.callback_on_release = [this](int id_slot) { @@ -917,19 +869,28 @@ private: slot.reset(); } + { + const char * LLAMA_TRACE = getenv("LLAMA_TRACE"); + trace = LLAMA_TRACE ? atoi(LLAMA_TRACE) : 0; + + if (trace) { + SRV_WRN("LLAMA_TRACE = %d\n", trace); + } + } + { const char * LLAMA_SERVER_SLOTS_DEBUG = getenv("LLAMA_SERVER_SLOTS_DEBUG"); slots_debug = LLAMA_SERVER_SLOTS_DEBUG ? atoi(LLAMA_SERVER_SLOTS_DEBUG) : 0; if (slots_debug) { - SRV_WRN("slots debug = %d\n", slots_debug); + SRV_WRN("LLAMA_SERVER_SLOTS_DEBUG = %d\n", slots_debug); } } // the update_slots() logic will always submit a maximum of n_batch or n_parallel tokens // note that n_batch can be > n_ctx (e.g. for non-causal attention models such as BERT where the KV cache is not used) { - const int32_t n_batch = llama_n_batch(ctx); + const int32_t n_batch = llama_n_batch(ctx_tgt); batch = llama_batch_init(std::max(n_batch, params_base.n_parallel), 0, 1); } @@ -973,8 +934,9 @@ private: // unlike load_model(), this is only called once during initialization bool init() { - GGML_ASSERT(ctx != nullptr); - GGML_ASSERT(model != nullptr); + GGML_ASSERT(ctx_tgt != nullptr); + GGML_ASSERT(model_tgt != nullptr); + GGML_ASSERT(!sleeping); // wiring up server queues @@ -1020,7 +982,7 @@ private: common_chat_templates_ptr chat_templates; try { - chat_templates = common_chat_templates_init(model, params_base.chat_template); + chat_templates = common_chat_templates_init(model_tgt, params_base.chat_template); LOG_INF("%s: chat template, example_format: '%s'\n", __func__, common_chat_format_example(chat_templates.get(), params_base.use_jinja, params_base.default_template_kwargs).c_str()); @@ -1283,7 +1245,7 @@ private: } } - if (!task.tokens.validate(ctx)) { + if (!task.tokens.validate(ctx_tgt)) { send_error(task, "Prompt contains invalid tokens", ERROR_TYPE_INVALID_REQUEST); return false; } @@ -1293,30 +1255,30 @@ private: // initialize samplers if (task.need_sampling()) { try { - slot.smpl.reset(common_sampler_init(model, task.params.sampling)); + slot.smpl.reset(common_sampler_init(model_tgt, task.params.sampling)); } catch (std::exception & e) { std::string err_msg = std::string("Failed to initialize samplers: ") + e.what(); send_error(task, err_msg, ERROR_TYPE_INVALID_REQUEST); return false; } - const bool need_logits = task.params.sampling.n_probs > 0; + const bool need_pre_sample_logits = task.params.sampling.n_probs > 0 && !task.params.post_sampling_probs; bool backend_sampling = true; backend_sampling &= task.params.sampling.backend_sampling; // TODO: speculative decoding requires multiple samples per batch - not supported yet - backend_sampling &= !(slot.can_speculate() && common_speculative_n_max(slot.spec.get(), task.params.speculative) > 0); + backend_sampling &= !(slot.can_speculate()); - // TODO: getting post/pre sampling logits is not yet supported with backend sampling - backend_sampling &= !need_logits; + // TODO: getting pre sampling logits is not yet supported with backend sampling + backend_sampling &= !need_pre_sample_logits; // TODO: tmp until backend sampling is fully implemented if (backend_sampling) { - llama_set_sampler(ctx, slot.id, common_sampler_get(slot.smpl.get())); + llama_set_sampler(ctx_tgt, slot.id, common_sampler_get(slot.smpl.get())); } else { - llama_set_sampler(ctx, slot.id, nullptr); + llama_set_sampler(ctx_tgt, slot.id, nullptr); } SLT_INF(slot, "sampler chain: %s\n", common_sampler_print(slot.smpl.get()).c_str()); @@ -1487,15 +1449,21 @@ private: // set probability for top n_probs tokens result.probs.reserve(n_probs); for (size_t i = 0; i < n_probs; i++) { + // Some samplers do return 0.0 probabilities, others don't. + // Filter 0.0 probailities, to ensure the behavior is consistent. + if (cur_p->data[i].p == 0.0) { + break; + } + result.probs.push_back({ cur_p->data[i].id, - common_token_to_piece(ctx, cur_p->data[i].id, special), + common_token_to_piece(ctx_tgt, cur_p->data[i].id, special), cur_p->data[i].p }); } } else { // TODO: optimize this with min-p optimization - std::vector cur = get_token_probabilities(ctx, idx); + std::vector cur = get_token_probabilities(ctx_tgt, idx); const size_t max_probs = cur.size(); const size_t n_probs = std::min(max_probs, n_probs_request); @@ -1513,7 +1481,7 @@ private: for (size_t i = 0; i < n_probs; i++) { result.probs.push_back({ cur[i].id, - common_token_to_piece(ctx, cur[i].id, special), + common_token_to_piece(ctx_tgt, cur[i].id, special), cur[i].p }); } @@ -1616,7 +1584,7 @@ private: res->tokens = std::move(slot.generated_tokens); } res->timings = slot.get_timings(); - res->prompt = slot.task->tokens.detokenize(ctx, true); + res->prompt = slot.task->tokens.detokenize(ctx_tgt, true); res->response_fields = std::move(slot.task->params.response_fields); res->truncated = slot.truncated; @@ -1639,7 +1607,7 @@ private: // populate res.probs_output if (slot.task->params.sampling.n_probs > 0) { if (!slot.task->params.stream && slot.stop == STOP_TYPE_WORD) { - const llama_tokens stop_word_toks = common_tokenize(ctx, slot.stopping_word, false); + const llama_tokens stop_word_toks = common_tokenize(ctx_tgt, slot.stopping_word, false); size_t safe_offset = std::min(slot.generated_token_probs.size(), stop_word_toks.size()); res->probs_output = std::vector( @@ -1664,7 +1632,7 @@ private: res->n_tokens = slot.task->n_tokens(); res->res_type = slot.task->params.res_type; - const int n_embd_out = llama_model_n_embd_out(model); + const int n_embd_out = llama_model_n_embd_out(model_tgt); std::vector embd_res(n_embd_out, 0.0f); @@ -1674,10 +1642,10 @@ private: } const float * embd = nullptr; - if (llama_pooling_type(slot.ctx) == LLAMA_POOLING_TYPE_NONE) { - embd = llama_get_embeddings_ith(ctx, i); + if (llama_pooling_type(slot.ctx_tgt) == LLAMA_POOLING_TYPE_NONE) { + embd = llama_get_embeddings_ith(slot.ctx_tgt, i); } else { - embd = llama_get_embeddings_seq(ctx, batch.seq_id[i][0]); + embd = llama_get_embeddings_seq(slot.ctx_tgt, batch.seq_id[i][0]); } if (embd == nullptr) { @@ -1688,7 +1656,7 @@ private: } // normalize only when there is pooling - if (llama_pooling_type(slot.ctx) != LLAMA_POOLING_TYPE_NONE) { + if (llama_pooling_type(slot.ctx_tgt) != LLAMA_POOLING_TYPE_NONE) { common_embd_normalize(embd, embd_res.data(), n_embd_out, slot.task->params.embd_normalize); res->embedding.push_back(embd_res); break; @@ -1713,9 +1681,9 @@ private: continue; } - const float * embd = llama_get_embeddings_seq(ctx, batch.seq_id[i][0]); + const float * embd = llama_get_embeddings_seq(ctx_tgt, batch.seq_id[i][0]); if (embd == NULL) { - embd = llama_get_embeddings_ith(ctx, i); + embd = llama_get_embeddings_ith(ctx_tgt, i); } if (embd == NULL) { @@ -1820,17 +1788,22 @@ private: const auto & cur = slot.prompt.checkpoints.front(); SLT_WRN(slot, "erasing old context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n", - cur.pos_min, cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024); + cur.pos_min, cur.pos_max, cur.n_tokens, (float) cur.size() / 1024 / 1024); slot.prompt.checkpoints.erase(slot.prompt.checkpoints.begin()); } - const auto & cur = slot.prompt.checkpoints.emplace_back(server_get_checkpoint(ctx, slot.id, slot.prompt.n_tokens() - n_tokens_cur, pos_min, pos_max)); + auto & cur = slot.prompt.checkpoints.emplace_back(); + + cur.update_pos(slot.prompt.n_tokens() - n_tokens_cur, pos_min, pos_max); + + cur.update_tgt(ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); + cur.update_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); SLT_WRN(slot, "created context checkpoint %d of %d (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n", (int) slot.prompt.checkpoints.size(), params_base.n_ctx_checkpoints, cur.pos_min, - cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024); + cur.pos_max, cur.n_tokens, (float) cur.size() / 1024 / 1024); } void process_single_task(server_task && task) { @@ -1985,7 +1958,7 @@ private: std::string filepath = task.slot_action.filepath; const llama_tokens & tokens = slot->prompt.tokens.get_tokens(); - const size_t nwrite = llama_state_seq_save_file(ctx, filepath.c_str(), slot->id, tokens.data(), token_count); + const size_t nwrite = llama_state_seq_save_file(ctx_tgt, filepath.c_str(), slot->id, tokens.data(), token_count); const int64_t t_end = ggml_time_us(); const double t_save_ms = (t_end - t_start) / 1000.0; @@ -2024,7 +1997,7 @@ private: llama_tokens tokens; tokens.resize(slot->n_ctx); size_t token_count = 0; - size_t nread = llama_state_seq_load_file(ctx, filepath.c_str(), slot->id, tokens.data(), tokens.size(), &token_count); + size_t nread = llama_state_seq_load_file(ctx_tgt, filepath.c_str(), slot->id, tokens.data(), tokens.size(), &token_count); if (nread == 0) { slot->prompt.tokens.clear(); // KV may already been invalidated? send_error(task, "Unable to restore slot, no available space in KV cache or invalid slot save file", ERROR_TYPE_INVALID_REQUEST); @@ -2183,8 +2156,13 @@ private: SLT_WRN(slot, "slot context shift, n_keep = %d, n_left = %d, n_discard = %d\n", n_keep, n_left, n_discard); - llama_memory_seq_rm (llama_get_memory(ctx), slot.id, n_keep , n_keep + n_discard); - llama_memory_seq_add(llama_get_memory(ctx), slot.id, n_keep + n_discard, slot.prompt.n_tokens(), -n_discard); + llama_memory_seq_rm (llama_get_memory(ctx_tgt), slot.id, n_keep , n_keep + n_discard); + llama_memory_seq_add(llama_get_memory(ctx_tgt), slot.id, n_keep + n_discard, slot.prompt.n_tokens(), -n_discard); + + if (ctx_dft) { + llama_memory_seq_rm (llama_get_memory(ctx_dft.get()), slot.id, n_keep , n_keep + n_discard); + llama_memory_seq_add(llama_get_memory(ctx_dft.get()), slot.id, n_keep + n_discard, slot.prompt.tokens.pos_next(), -n_discard); + } // add generated tokens to cache // ref: https://github.com/ggml-org/llama.cpp/pull/16818#discussion_r2473269481 @@ -2212,12 +2190,10 @@ private: // track if given slot can be batched with slots already in the batch server_slot * slot_batched = nullptr; - auto accept_special_token = [&](server_slot & slot, llama_token token) { - return params_base.special || - slot.task->params.sampling.preserved_tokens.find(token) != slot.task->params.sampling.preserved_tokens.end(); - }; + std::vector generating; + std::vector drafting; - // first, add sampled tokens from any ongoing sequences + // determine which slots are generating and drafting for (auto & slot : slots) { if (slot.state != SLOT_STATE_GENERATING) { continue; @@ -2230,12 +2206,103 @@ private: continue; } + generating.push_back(&slot); + + if (spec) { + common_speculative_get_draft_params(spec.get(), slot.id).drafting = false; + + const bool use_ckpt_tgt = ctx_tgt_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL; + const bool use_ckpt_dft = ctx_dft_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL; + + const int n_draft_max = slot.get_n_draft_max(); + + if (n_draft_max > 0) { + GGML_ASSERT(slot.can_speculate()); + + if (!slot.spec_draft.empty()) { + // we have a previous (partial) draft to reuse + if (use_ckpt_tgt) { + GGML_ASSERT(!slot.spec_ckpt.empty()); + } + } else { + GGML_ASSERT(slot.spec_i_batch.empty()); + + slot.spec_ckpt.update_pos( + slot.prompt.n_tokens(), + llama_memory_seq_pos_min(llama_get_memory(ctx_tgt), slot.id), + llama_memory_seq_pos_max(llama_get_memory(ctx_tgt), slot.id)); + + if (use_ckpt_dft) { + slot.spec_ckpt.update_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + } + + slot.spec_prompt = slot.prompt.tokens.get_text_tokens(); + + common_speculative_get_draft_params(spec.get(), slot.id) = { + /* .drafting = */ true, + /* .n_max = */ n_draft_max, + /* .n_past = */ slot.prompt.n_tokens(), + /* .id_last = */ slot.sampled, + /* .prompt = */ &slot.spec_prompt, + /* .result = */ &slot.spec_draft, + }; + + drafting.push_back(&slot); + } + } + } + } + + // generate the actual drafts (if any) + { + common_speculative_draft(spec.get()); + } + + // make checkpoints if needed + for (auto * slot_ptr : drafting) { + auto & slot = *slot_ptr; + + auto & draft = slot.spec_draft; + auto & ckpt = slot.spec_ckpt; + + slot.n_draft_total += draft.size(); + + // TODO: avoid restoring the draft context and re-evaluating the drafted tokens when not needed [TAG_SPEC_AVOID_DRAFT_REEVAL] + if (ctx_dft) { + ckpt.load_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + + llama_memory_seq_rm(llama_get_memory(ctx_dft.get()), slot.id, ckpt.pos_max + 1, -1); + } + + if (!draft.empty()) { + const bool use_ckpt_tgt = ctx_tgt_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL; + + if (use_ckpt_tgt) { + //const int64_t t_start = ggml_time_us(); + + ckpt.update_tgt(ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + + //const int64_t t_total = ggml_time_us() - t_start; + //printf("checkpoint total: %f ms\n", t_total / 1000.0); + + SLT_DBG(slot, "created speculative checkpoint (pos_min = %d, pos_max = %d, n_tokens = %d, size = %.3f MiB, draft = %.3f MiB)\n", + ckpt.pos_min, ckpt.pos_max, slot.prompt.n_tokens(), + (float) ckpt.size() / 1024 / 1024, + (float) ckpt.data_dft.size() / 1024 / 1024); + } + } + } + + // update the batch with the sampled/drafted tokens + for (auto * slot_ptr : generating) { + auto & slot = *slot_ptr; + slot.update_batch(batch); } // process in chunks of params.n_batch - int32_t n_batch = llama_n_batch(ctx); - int32_t n_ubatch = llama_n_ubatch(ctx); + int32_t n_batch = llama_n_batch(ctx_tgt); + int32_t n_ubatch = llama_n_ubatch(ctx_tgt); float alora_scale = -1.0f; size_t alora_disabled_id = 0; @@ -2279,12 +2346,12 @@ private: /*if (1) { // first 16 tokens (avoid flooding logs) for (int i = 0; i < std::min(16, input_tokens.size()); i++) { - SLT_DBG(slot, "prompt token %3d: %6d '%s'\n", i, input_tokens[i], common_token_to_piece(ctx, input_tokens[i]).c_str()); + SLT_DBG(slot, "prompt token %3d: %6d '%s'\n", i, input_tokens[i], common_token_to_piece(ctx_tgt, input_tokens[i]).c_str()); } } else { // all for (int i = 0; i < (int) input_tokens.size(); i++) { - SLT_DBG(slot, "prompt token %3d: %6d '%s'\n", i, input_tokens[i], common_token_to_piece(ctx, input_tokens[i]).c_str()); + SLT_DBG(slot, "prompt token %3d: %6d '%s'\n", i, input_tokens[i], common_token_to_piece(ctx_tgt, input_tokens[i]).c_str()); } }*/ @@ -2303,7 +2370,7 @@ private: } // TODO: support memory-less logits computation - if (slot.task->need_logits() && !llama_get_memory(ctx)) { + if (slot.task->need_logits() && !llama_get_memory(ctx_tgt)) { send_error(slot, "the current context does not logits computation. skipping", ERROR_TYPE_SERVER); slot.release(); continue; @@ -2355,7 +2422,7 @@ private: const auto n_cache_reuse = slot.task->params.n_cache_reuse; const bool can_cache_reuse = - llama_memory_can_shift(llama_get_memory(ctx)) && + llama_memory_can_shift(llama_get_memory(ctx_tgt)) && !slot.prompt.tokens.has_mtmd; if (!can_cache_reuse && n_cache_reuse > 0) { @@ -2389,13 +2456,18 @@ private: if (n_match >= (size_t) n_cache_reuse) { SLT_INF(slot, "reusing chunk with size %zu, shifting KV cache [%zu, %zu) -> [%zu, %zu)\n", n_match, head_c, head_c + n_match, head_p, head_p + n_match); //for (size_t i = head_p; i < head_p + n_match; i++) { - // SLT_DBG(slot, "cache token %3zu: %6d '%s'\n", i, prompt_tokens[i], common_token_to_piece(ctx, prompt_tokens[i]).c_str()); + // SLT_DBG(slot, "cache token %3zu: %6d '%s'\n", i, prompt_tokens[i], common_token_to_piece(ctx_tgt, prompt_tokens[i]).c_str()); //} const int64_t kv_shift = (int64_t) head_p - (int64_t) head_c; - llama_memory_seq_rm (llama_get_memory(ctx), slot.id, head_p, head_c); - llama_memory_seq_add(llama_get_memory(ctx), slot.id, head_c, head_c + n_match, kv_shift); + llama_memory_seq_rm (llama_get_memory(ctx_tgt), slot.id, head_p, head_c); + llama_memory_seq_add(llama_get_memory(ctx_tgt), slot.id, head_c, head_c + n_match, kv_shift); + + if (ctx_dft) { + llama_memory_seq_rm (llama_get_memory(ctx_dft.get()), slot.id, head_p, head_c); + llama_memory_seq_add(llama_get_memory(ctx_dft.get()), slot.id, head_c, head_c + n_match, kv_shift); + } for (size_t i = 0; i < n_match; i++) { slot.prompt.tokens.set_token(head_p + i, slot.prompt.tokens[head_c + i]); @@ -2422,7 +2494,7 @@ private: const auto pos_min_thold = std::max(0, pos_next - n_swa); if (n_past > 0 && n_past < slot.prompt.n_tokens()) { - const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), slot.id); + const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx_tgt), slot.id); if (pos_min == -1) { SLT_ERR(slot, "n_past = %d, slot.prompt.tokens.size() = %d, seq_id = %d, pos_min = %d\n", n_past, (int) slot.prompt.tokens.size(), slot.id, pos_min); GGML_ABORT("pos_min == -1, but n_past > 0 - should not happen: https://github.com/ggml-org/llama.cpp/pull/13833#discussion_r2116181237"); @@ -2451,14 +2523,14 @@ private: { const auto token = slot.prompt.tokens[i]; - const auto piece = token != LLAMA_TOKEN_NULL ? common_token_to_piece(ctx, token) : "[mtmd]"; + const auto piece = token != LLAMA_TOKEN_NULL ? common_token_to_piece(ctx_tgt, token) : "[mtmd]"; ss0 << piece; st0 << std::setw(8) << token; } { const auto token = slot.task->tokens[i]; - const auto piece = token != LLAMA_TOKEN_NULL ? common_token_to_piece(ctx, token) : "[mtmd]"; + const auto piece = token != LLAMA_TOKEN_NULL ? common_token_to_piece(ctx_tgt, token) : "[mtmd]"; ss1 << piece; st1 << std::setw(8) << token; } @@ -2490,18 +2562,13 @@ private: if (!do_reset) { // restore the context checkpoint - const size_t checkpoint_size = it->data.size(); - const size_t n = llama_state_seq_set_data_ext(ctx, it->data.data(), checkpoint_size, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - if (n != checkpoint_size) { - SLT_ERR(slot, "failed to restore context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n", it->pos_min, it->pos_max, it->n_tokens, (float) checkpoint_size / 1024 / 1024); - do_reset = true; - //printf("[DEBUG] `do_reset` was set to `true` after failing to restore a checkpoint"); - } else { - pos_next = std::min(pos_next, std::max(it->pos_min + 1, it->pos_max)); - n_past = std::min(slot.prompt.tokens.size_up_to_pos(pos_next), (size_t) it->n_tokens); - SLT_WRN(slot, "restored context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", n_past = %d, size = %.3f MiB)\n", it->pos_min, it->pos_max, it->n_tokens, n_past, (float) checkpoint_size / 1024 / 1024); - } + it->load_tgt(ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); + it->load_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); + + pos_next = std::min(pos_next, std::max(it->pos_min + 1, it->pos_max)); + n_past = std::min(slot.prompt.tokens.size_up_to_pos(pos_next), (size_t) it->n_tokens); + SLT_WRN(slot, "restored context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", n_past = %d, size = %.3f MiB)\n", it->pos_min, it->pos_max, it->n_tokens, n_past, (float) it->size() / 1024 / 1024); } if (do_reset) { @@ -2518,7 +2585,7 @@ private: for (auto it = slot.prompt.checkpoints.begin(); it != slot.prompt.checkpoints.end();) { const auto & cur = *it; if (cur.pos_max > pos_next) { - SLT_WRN(slot, "erased invalidated context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", n_swa = %d, pos_next = %d, size = %.3f MiB)\n", cur.pos_min, cur.pos_max, cur.n_tokens, n_swa, pos_next, (float) cur.data.size() / 1024 / 1024); + SLT_WRN(slot, "erased invalidated context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", n_swa = %d, pos_next = %d, size = %.3f MiB)\n", cur.pos_min, cur.pos_max, cur.n_tokens, n_swa, pos_next, (float) cur.size() / 1024 / 1024); it = slot.prompt.checkpoints.erase(it); } else { ++it; @@ -2558,14 +2625,18 @@ private: SLT_INF(slot, "n_tokens = %d, memory_seq_rm [%d, end)\n", slot.prompt.n_tokens(), p0); - if (!llama_memory_seq_rm(llama_get_memory(ctx), slot.id, p0, -1)) { + if (!llama_memory_seq_rm(llama_get_memory(ctx_tgt), slot.id, p0, -1)) { SLT_WRN(slot, "failed to truncate tokens with position >= %d - clearing the memory\n", p0); slot.prompt_clear(true); // there is no common part left slot.n_prompt_tokens_cache = 0; - } + } else { + if (ctx_dft && !llama_memory_seq_rm(llama_get_memory(ctx_dft.get()), slot.id, p0, -1)) { + GGML_ABORT("failed to truncate draft context\n"); + } + } // If using an alora, there may be uncached tokens that come // before the invocation sequence. When this happens, the @@ -2591,7 +2662,7 @@ private: // - the model does not support partial sequence removal // - the model uses SWA (and we are not using `swa_full`) do_checkpoint = do_checkpoint && ( - (slot.ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) || + (ctx_tgt_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) || (n_swa > 0)); bool has_mtmd = false; @@ -2600,7 +2671,7 @@ private: while (slot.prompt.n_tokens() < slot.task->n_tokens() && input_tokens[slot.prompt.n_tokens()] == LLAMA_TOKEN_NULL) { // process the image size_t n_tokens_out = 0; - int32_t res = input_tokens.process_chunk(ctx, mctx, slot.prompt.n_tokens(), slot.prompt.tokens.pos_next(), slot.id, n_tokens_out); + int32_t res = input_tokens.process_chunk(ctx_tgt, mctx, slot.prompt.n_tokens(), slot.prompt.tokens.pos_next(), slot.id, n_tokens_out); if (res != 0) { SLT_ERR(slot, "failed to process image, res = %d\n", res); send_error(slot, "failed to process image", ERROR_TYPE_SERVER); @@ -2608,6 +2679,16 @@ private: continue; } + if (ctx_dft) { + // TODO: in the future, figure out how to infuse target embeddings to the images + // for now, we skip this for simplicity + // maybe we simply need to call `common_speculative_process()` on the mtmd batches in the `process_chunk` above? + res = input_tokens.process_chunk(ctx_dft.get(), mctx, slot.prompt.n_tokens(), slot.prompt.tokens.pos_next(), slot.id, n_tokens_out); + if (res != 0) { + GGML_ABORT("failed to process multi-modal data on draft context\n"); + } + } + slot.n_prompt_tokens_processed += n_tokens_out; // add the image chunk to cache @@ -2709,8 +2790,8 @@ private: SLT_INF(slot, "prompt processing progress, n_tokens = %d, batch.n_tokens = %d, progress = %f\n", slot.prompt.n_tokens(), batch.n_tokens, (float) slot.prompt.n_tokens() / slot.task->n_tokens()); } - const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), slot.id); - const auto pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), slot.id); + const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx_tgt), slot.id); + const auto pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx_tgt), slot.id); // no need for empty or small checkpoints do_checkpoint = do_checkpoint && (pos_min >= 0 && slot.prompt.n_tokens() >= 64); @@ -2741,9 +2822,14 @@ private: SRV_DBG("decoding batch, n_tokens = %d\n", batch.n_tokens); + auto accept_special_token = [&](server_slot & slot, llama_token token) { + return params_base.special || + slot.task->params.sampling.preserved_tokens.find(token) != slot.task->params.sampling.preserved_tokens.end(); + }; + if (slot_batched) { // apply lora, only need to do it once per batch - common_set_adapter_lora(ctx, slot_batched->lora); + common_set_adapter_lora(ctx_tgt, slot_batched->lora); // if the lora is temporarily disabled for an alora, re-enable it // for next time @@ -2752,7 +2838,7 @@ private: slot_batched->lora[alora_disabled_id].scale = alora_scale; } - llama_set_embeddings(ctx, slot_batched->task->need_embd()); + llama_set_embeddings(ctx_tgt, slot_batched->task->need_embd()); } if (batch.n_tokens == 0) { @@ -2781,7 +2867,7 @@ private: batch.logits + i, }; - const int ret = llama_decode(ctx, batch_view); + const int ret = llama_decode(ctx_tgt, batch_view); metrics.on_decoded(slots); @@ -2834,11 +2920,63 @@ private: continue; // continue loop of n_batch } + // TODO: avoid restoring the draft context and re-evaluating the drafted tokens when not needed [TAG_SPEC_AVOID_DRAFT_REEVAL] + // for now, always re-evaluate for simplicity + // ref: https://github.com/ggml-org/llama.cpp/pull/22728#issuecomment-4400925384 + // + // | spec type | need re-eval | + // | --- | --- | + // | draft model | no | because the draft model does not use embeddings from the target + // | MTP (std) | yes | + // | MTP Gemma4 | no | because the KV cache is shared + // | Eagle3 | yes | + // | DFlash | yes | https://github.com/ggml-org/llama.cpp/pull/22728#issuecomment-4405406982 + // + // note: this logic is now moved in `common_speculative_process()` + // keeping the sketch here until for a bit, until the logic is finalized + // + //if (ctx_dft) { + // // TODO: update as needed for MTP, Eagle3, etc. + // const bool need_tgt_embd = false; + + // if (need_tgt_embd) { + // llama_synchronize(ctx_tgt); + // } + + // // the logic here varies depending on the speculative decoding method + // // - some draft contexts require embeddings from the target context, others don't + // // - some draft contexts involve an encoder step to transform the target embeddings to draft embeddings + // // TODO: extract this in a function ? + // { + // // TODO: hook the embeddings from the last target batch here + // if (llama_model_has_encoder(model_dft.get())) { + // //llama_encode(ctx_dft, ...); + + // GGML_ABORT("not implemented yet\n"); + // } + + // const int ret = llama_decode(ctx_dft.get(), batch_view); + + // if (ret != 0) { + // SRV_ERR("failed to decode draft batch, ret = %d\n", ret); + + // // TODO: handle error + // break; + // } + // } + //} + if (!common_speculative_process(spec.get(), batch_view)) { + SRV_ERR("%s", "failed to process speculative batch\n"); + + // TODO: handle error + break; + } + // move the head of the batch forward with the number of tokens we just processed i_next = i + n_tokens; // on successful decode, restore the original batch size - n_batch = llama_n_batch(ctx); + n_batch = llama_n_batch(ctx_tgt); // handle `n_cmpl > 1` tasks - when the main prompt is processed, activate all child tasks too for (auto & slot : slots) { @@ -2897,7 +3035,7 @@ private: slot.state = SLOT_STATE_GENERATING; if (slot.can_speculate()) { - common_speculative_begin(slot.spec.get(), slot.prompt.tokens.get_text_tokens()); + common_speculative_begin(spec.get(), slot.id, slot.prompt.tokens.get_text_tokens()); } } else if (slot.state != SLOT_STATE_GENERATING) { continue; // continue loop of slots @@ -2909,7 +3047,7 @@ private: const int tok_idx = slot.i_batch - i; - llama_token id = common_sampler_sample(slot.smpl.get(), slot.ctx, tok_idx); + llama_token id = common_sampler_sample(slot.smpl.get(), slot.ctx_tgt, tok_idx); slot.i_batch = -1; @@ -2930,7 +3068,7 @@ private: completion_token_output result; result.tok = id; - result.text_to_send = common_token_to_piece(slot.ctx, result.tok, accept_special_token(slot, result.tok)); + result.text_to_send = common_token_to_piece(slot.ctx_tgt, result.tok, accept_special_token(slot, result.tok)); result.prob = 1.0f; // TODO: set it here instead of doing inside populate_token_probs if (slot.task->params.sampling.n_probs > 0) { @@ -2961,51 +3099,58 @@ private: // verify and try to accept the draft { - const bool use_ckpt = slot.ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL; + const bool use_ckpt_tgt = ctx_tgt_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL; // only save the sampler sampler state if we use checkpoints common_sampler_ptr smpl_save; - if (use_ckpt) { + if (use_ckpt_tgt) { smpl_save.reset(common_sampler_clone(slot.smpl.get())); } GGML_ASSERT(slot.spec_i_batch.size() == n_draft + 1); - auto accepted = common_sampler_sample_and_accept_n(slot.smpl.get(), slot.ctx, slot.spec_i_batch, slot.spec_draft); + auto accepted = common_sampler_sample_and_accept_n(slot.smpl.get(), slot.ctx_tgt, slot.spec_i_batch, slot.spec_draft); slot.spec_i_batch.clear(); - SLT_DBG(slot, "%s: n_draft=%zu, accepted=%zu\n", __func__, slot.spec_draft.size(), accepted.size()); - GGML_ASSERT(accepted.size() >= 1); // check for partial draft acceptance if (accepted.size() < slot.spec_draft.size() + 1) { - if (use_ckpt) { + if (use_ckpt_tgt) { + if (trace > 0) { + SLT_INF(slot, "accepted %2zu/%2zu draft tokens (restore checkpoint)\n", accepted.size() - 1, slot.spec_draft.size()); + } + // partial acceptance is not supported by the context -> truncate the draft and restore the state slot.spec_draft = std::move(accepted); const auto & ckpt = slot.spec_ckpt; - SLT_DBG(slot, "restoring speculative checkpoint (pos_min = %d, pos_max = %d, size = %zu)\n", - ckpt.pos_min, ckpt.pos_max, ckpt.size()); + SLT_DBG(slot, "restoring speculative checkpoint (pos_min = %d, pos_max = %d, size = %zu)\n", ckpt.pos_min, ckpt.pos_max, ckpt.size()); - const size_t n = llama_state_seq_set_data_ext(slot.ctx, ckpt.data.data(), ckpt.size(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); - if (n != ckpt.size()) { - GGML_ABORT("%s: failed to restore context checkpoint (pos_min=%d, pos_max=%d, size=%zu, get_data_ext->%zu, set_data_ext->%zu", - __func__, ckpt.pos_min, ckpt.pos_max, ckpt.size(), ckpt.size(), n); + { + ckpt.load_tgt(slot.ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + + llama_memory_seq_rm(llama_get_memory(slot.ctx_tgt), slot.id, ckpt.pos_max + 1, -1); } - llama_memory_seq_rm(llama_get_memory(slot.ctx), slot.id, ckpt.pos_max + 1, -1); + if (slot.ctx_dft) { + ckpt.load_dft(slot.ctx_dft, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE); + + llama_memory_seq_rm(llama_get_memory(slot.ctx_dft), slot.id, ckpt.pos_max + 1, -1); + } slot.prompt.tokens.keep_first(ckpt.n_tokens); slot.smpl = std::move(smpl_save); continue; } - - LOG_DBG("%s: partial acceptance: %zu < %zu\n", __func__, accepted.size(), slot.spec_draft.size()); } - common_speculative_accept(slot.spec.get(), accepted.size() - 1); + if (trace > 0) { + SLT_INF(slot, "accepted %2zu/%2zu draft tokens\n", accepted.size() - 1, n_draft); + } + + common_speculative_accept(spec.get(), slot.id, accepted.size() - 1); slot.spec_draft = std::move(accepted); } @@ -3019,7 +3164,6 @@ private: // update how many tokens out of those tested were accepted slot.n_draft_accepted += ids.size() - 1; - slot.n_draft_total += n_draft; // add accepted tokens to the prompt slot.prompt.tokens.keep_first(slot.prompt.n_tokens() - n_draft); @@ -3028,13 +3172,16 @@ private: slot.sampled = ids.back(); // last accepted token SLT_DBG(slot, "add accepted tokens: sampled=%d, ids.size=%zu, n_draft=%zu\n", slot.sampled, ids.size(), n_draft); - llama_memory_seq_rm(llama_get_memory(slot.ctx), slot.id, slot.prompt.tokens.pos_next(), -1); + llama_memory_seq_rm(llama_get_memory(slot.ctx_tgt), slot.id, slot.prompt.tokens.pos_next(), -1); + if (slot.ctx_dft) { + llama_memory_seq_rm(llama_get_memory(slot.ctx_dft), slot.id, slot.prompt.tokens.pos_next(), -1); + } for (size_t i = 0; i < ids.size(); ++i) { completion_token_output result; result.tok = ids[i]; - result.text_to_send = common_token_to_piece(slot.ctx, result.tok, accept_special_token(slot, result.tok)); + result.text_to_send = common_token_to_piece(slot.ctx_tgt, result.tok, accept_special_token(slot, result.tok)); result.prob = 1.0f; // set later // TODO: set result.probs @@ -3086,7 +3233,7 @@ void server_context::terminate() { } llama_context * server_context::get_llama_context() const { - return impl->ctx; + return impl->ctx_tgt; } server_response_reader server_context::get_response_reader() { @@ -3096,8 +3243,8 @@ server_response_reader server_context::get_response_reader() { server_context_meta server_context::get_meta() const { auto bos_id = llama_vocab_bos(impl->vocab); auto eos_id = llama_vocab_eos(impl->vocab); - auto bos_token_str = bos_id != LLAMA_TOKEN_NULL ? common_token_to_piece(impl->ctx, bos_id, true) : ""; - auto eos_token_str = eos_id != LLAMA_TOKEN_NULL ? common_token_to_piece(impl->ctx, eos_id, true) : ""; + auto bos_token_str = bos_id != LLAMA_TOKEN_NULL ? common_token_to_piece(impl->ctx_tgt, bos_id, true) : ""; + auto eos_token_str = eos_id != LLAMA_TOKEN_NULL ? common_token_to_piece(impl->ctx_tgt, eos_id, true) : ""; return server_context_meta { /* build_info */ std::string(llama_build_info()), @@ -3110,7 +3257,7 @@ server_context_meta server_context::get_meta() const { /* has_inp_audio */ impl->chat_params.allow_audio, /* json_webui_settings */ impl->json_webui_settings, /* slot_n_ctx */ impl->get_slot_n_ctx(), - /* pooling_type */ llama_pooling_type(impl->ctx), + /* pooling_type */ llama_pooling_type(impl->ctx_tgt), /* chat_params */ impl->chat_params, /* chat_template_caps */ common_chat_templates_get_caps(impl->chat_params.tmpls.get()), @@ -3128,10 +3275,10 @@ server_context_meta server_context::get_meta() const { /* model_vocab_type */ llama_vocab_type(impl->vocab), /* model_vocab_n_tokens */ llama_vocab_n_tokens(impl->vocab), - /* model_n_ctx_train */ llama_model_n_ctx_train(impl->model), - /* model_n_embd_inp */ llama_model_n_embd(impl->model), - /* model_n_params */ llama_model_n_params(impl->model), - /* model_size */ llama_model_size(impl->model), + /* model_n_ctx_train */ llama_model_n_ctx_train(impl->model_tgt), + /* model_n_embd_inp */ llama_model_n_embd(impl->model_tgt), + /* model_n_params */ llama_model_n_params(impl->model_tgt), + /* model_size */ llama_model_size(impl->model_tgt), }; } @@ -3475,10 +3622,6 @@ void server_routes::init_routes() { {"name", "n_tokens_max"}, {"help", "Largest observed n_tokens."}, {"value", res_task->n_tokens_max} - }, { - {"name", "n_busy_slots_per_decode"}, - {"help", "Average number of busy slots per llama_decode() call"}, - {"value", (float) res_task->n_busy_slots_total / std::max((float) res_task->n_decode_total, 1.f)} }}}, {"gauge", {{ {"name", "prompt_tokens_seconds"}, @@ -3496,6 +3639,10 @@ void server_routes::init_routes() { {"name", "requests_deferred"}, {"help", "Number of requests deferred."}, {"value", (uint64_t) res_task->n_tasks_deferred} + },{ + {"name", "n_busy_slots_per_decode"}, + {"help", "Average number of busy slots per llama_decode() call"}, + {"value", (float) res_task->n_busy_slots_total / std::max((float) res_task->n_decode_total, 1.f)} }}} }; @@ -3905,22 +4052,7 @@ void server_routes::init_routes() { }}, {"object", "list"}, {"data", { - { - {"id", meta->model_name}, - {"aliases", meta->model_aliases}, - {"tags", meta->model_tags}, - {"object", "model"}, - {"created", std::time(0)}, - {"owned_by", "llamacpp"}, - {"meta", { - {"vocab_type", meta->model_vocab_type}, - {"n_vocab", meta->model_vocab_n_tokens}, - {"n_ctx_train", meta->model_n_ctx_train}, - {"n_embd", meta->model_n_embd_inp}, - {"n_params", meta->model_n_params}, - {"size", meta->model_size}, - }}, - }, + get_model_info(), }} }; @@ -4033,7 +4165,7 @@ void server_routes::init_routes() { std::vector tasks; tasks.reserve(documents.size()); for (size_t i = 0; i < documents.size(); i++) { - auto tmp = format_prompt_rerank(ctx_server.model, ctx_server.vocab, ctx_server.mctx, query, documents[i]); + auto tmp = format_prompt_rerank(ctx_server.model_tgt, ctx_server.vocab, ctx_server.mctx, query, documents[i]); server_task task = server_task(SERVER_TASK_TYPE_RERANK); task.id = rd.get_new_id(); task.tokens = std::move(tmp); @@ -4134,6 +4266,26 @@ void server_routes::init_routes() { }; } +json server_routes::get_model_info() const { + return json { + {"id", meta->model_name}, + {"aliases", meta->model_aliases}, + {"tags", meta->model_tags}, + {"object", "model"}, + {"created", std::time(0)}, + {"owned_by", "llamacpp"}, + {"meta", { + {"vocab_type", meta->model_vocab_type}, + {"n_vocab", meta->model_vocab_n_tokens}, + {"n_ctx", meta->slot_n_ctx}, + {"n_ctx_train", meta->model_n_ctx_train}, + {"n_embd", meta->model_n_embd_inp}, + {"n_params", meta->model_n_params}, + {"size", meta->model_size}, + }}, + }; +} + std::unique_ptr server_routes::handle_slots_save(const server_http_req & req, int id_slot) { auto res = create_response(); const json request_data = json::parse(req.body); diff --git a/tools/server/server-context.h b/tools/server/server-context.h index 37f10dc779..58dda89144 100644 --- a/tools/server/server-context.h +++ b/tools/server/server-context.h @@ -122,6 +122,10 @@ struct server_routes { server_http_context::handler_t post_rerank; server_http_context::handler_t get_lora_adapters; server_http_context::handler_t post_lora_adapters; + + // to be used in router mode + json get_model_info() const; + private: std::unique_ptr handle_completions_impl( const server_http_req & req, diff --git a/tools/server/server-http.cpp b/tools/server/server-http.cpp index 6f24f83ef3..8f25743fcf 100644 --- a/tools/server/server-http.cpp +++ b/tools/server/server-http.cpp @@ -4,7 +4,9 @@ #include +#include #include +#include #include #include @@ -51,11 +53,51 @@ static void log_server_request(const httplib::Request & req, const httplib::Resp SRV_DBG("response: %s\n", res.body.c_str()); } +// For Google Cloud Platform deployment compatibility +struct gcp_params { + bool enabled; + std::string path_health; + std::string path_predict; + int port; + + // Ref: https://docs.cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables + gcp_params() { + enabled = getenv("AIP_MODE", "") == "PREDICTION"; + path_health = getenv("AIP_HEALTH_ROUTE", "", true); // default: using the route defined in server.cpp + path_predict = getenv("AIP_PREDICT_ROUTE", "/predict", true); + port = std::stoi(getenv("AIP_HTTP_PORT", "8080")); + } + + static std::string getenv(const char * name, const std::string & default_value, bool ensure_leading_slash = false) { + const char * value = std::getenv(name); + if (value == nullptr || value[0] == '\0') { + return default_value; + } + std::string val = value; + if (ensure_leading_slash && !val.empty() && val[0] != '/') { + val.insert(val.begin(), '/'); + } + return val; + } +}; + bool server_http_context::init(const common_params & params) { + const gcp_params gcp; + path_prefix = params.api_prefix; port = params.port; hostname = params.hostname; + if (gcp.enabled) { + LOG_INF("%s: Google Cloud Platform compat: health route = %s, predict route = %s, port = %d\n", __func__, gcp.path_health.c_str(), gcp.path_predict.c_str(), gcp.port); + + if (port != gcp.port) { + LOG_WRN("%s: Google Cloud Platform compat: overriding server port %d with AIP_HTTP_PORT %d\n", __func__, port, gcp.port); + } + + port = gcp.port; + } + auto & srv = pimpl->srv; #ifdef CPPHTTPLIB_OPENSSL_SUPPORT @@ -420,6 +462,7 @@ static void process_handler_response(server_http_req_ptr && request, server_http } void server_http_context::get(const std::string & path, const server_http_context::handler_t & handler) const { + handlers.emplace(path, handler); pimpl->srv->Get(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) { server_http_req_ptr request = std::make_unique(server_http_req{ get_params(req), @@ -436,6 +479,7 @@ void server_http_context::get(const std::string & path, const server_http_contex } void server_http_context::post(const std::string & path, const server_http_context::handler_t & handler) const { + handlers.emplace(path, handler); pimpl->srv->Post(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) { std::string body = req.body; std::map files; @@ -481,3 +525,176 @@ void server_http_context::post(const std::string & path, const server_http_conte }); } +// +// Vertex AI Prediction protocol (AIP_PREDICT_ROUTE) +// https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements +// + +// Derives the camelCase @requestFormat alias for a registered path. +// e.g. "/v1/chat/completions" -> "chatCompletions", "/apply-template" -> "applyTemplate" +static std::string path_to_gcp_format(const std::string & path) { + std::string s = path; + if (s.size() > 3 && s[0] == '/' && s[1] == 'v' && s[2] == '1') { + s = s.substr(3); + } + if (!s.empty() && s[0] == '/') { + s = s.substr(1); + } + std::string result; + bool cap = false; + for (unsigned char c : s) { + if (c == ':') break; // stop before path parameters + if (c == '/' || c == '-' || c == '_') { + cap = true; + } else { + result += cap ? (char)std::toupper(c) : (char)c; + cap = false; + } + } + return result; +} + +static json parse_gcp_predict_response(const server_http_res_ptr & res) { + if (res == nullptr) { + throw std::runtime_error("empty response from internal handler"); + } + if (res->is_stream()) { + throw std::invalid_argument("predict route does not support streaming responses"); + } + if (res->data.empty()) { + return nullptr; + } + try { + return json::parse(res->data); + } catch (...) { + return res->data; + } +} + +void server_http_context::register_gcp_compat() { + const gcp_params gcp; + + if (!gcp.enabled) { + // do nothing + return; + } + + if (handlers.count(gcp.path_predict)) { + LOG_ERR("%s: AIP_PREDICT_ROUTE=%s conflicts with an existing llama-server route\n", __func__, gcp.path_predict.c_str()); + exit(1); + } + + // camelCase alias -> canonical path (first registration wins on collision) + // e.g. "chatCompletions" -> "/v1/chat/completions" + std::unordered_map alias_to_path; + for (const auto & [path, _] : handlers) { + alias_to_path.emplace(path_to_gcp_format(path), path); + } + + if (!gcp.path_health.empty()) { + auto health_handler = handlers.find("/health"); + GGML_ASSERT(health_handler != handlers.end()); + get(gcp.path_health, health_handler->second); + } + + post(gcp.path_predict, [this, alias_to_path = std::move(alias_to_path)](const server_http_req & req) -> server_http_res_ptr { + static const auto build_error = [](const std::string & message, error_type type) -> json { + return json {{"error", format_error_response(message, type)}}; + }; + + json data; + try { + data = json::parse(req.body); + } catch (const std::exception & e) { + auto res = std::make_unique(); + res->status = 400; + res->data = safe_json_to_str({{"error", format_error_response(e.what(), ERROR_TYPE_INVALID_REQUEST)}}); + return res; + } + if (!data.is_object()) { + auto res = std::make_unique(); + res->status = 400; + res->data = safe_json_to_str({{"error", format_error_response("request body must be a JSON object", ERROR_TYPE_INVALID_REQUEST)}}); + return res; + } + if (!data.contains("instances") || !data.at("instances").is_array()) { + auto res = std::make_unique(); + res->status = 400; + res->data = safe_json_to_str({{"error", format_error_response("request body must include an array field named instances", ERROR_TYPE_INVALID_REQUEST)}}); + return res; + } + + const json & instances = data.at("instances"); + static const size_t MAX_INSTANCES = 128; + if (instances.size() > MAX_INSTANCES) { + auto res = std::make_unique(); + res->status = 400; + res->data = safe_json_to_str({{"error", format_error_response("instances array exceeds maximum size of " + std::to_string(MAX_INSTANCES), ERROR_TYPE_INVALID_REQUEST)}}); + return res; + } + + std::vector> futures; + futures.reserve(instances.size()); + + for (const auto & instance : instances) { + futures.push_back(std::async(std::launch::async, [this, &req, &alias_to_path, instance]() -> json { + if (!instance.is_object()) { + return build_error("each instance must be a JSON object", ERROR_TYPE_INVALID_REQUEST); + } + if (!instance.contains("@requestFormat") || !instance.at("@requestFormat").is_string()) { + return build_error("each instance must include a string @requestFormat", ERROR_TYPE_INVALID_REQUEST); + } + + try { + json payload = instance; + const std::string format = payload.at("@requestFormat").get(); + payload.erase("@requestFormat"); + + if (payload.contains("stream")) { + LOG_WRN("%s: ignoring client-provided stream field in instance, streaming is not supported in predict route\n", __func__); + payload["stream"] = false; + } + + // accept both camelCase aliases (e.g. "chatCompletions") and direct paths + std::string dispatch_path; + auto it_alias = alias_to_path.find(format); + if (it_alias != alias_to_path.end()) { + dispatch_path = it_alias->second; + } else if (handlers.count(format)) { + dispatch_path = format; + } else { + return build_error("no handler registered for @requestFormat: " + format, ERROR_TYPE_INVALID_REQUEST); + } + + const server_http_req internal_req { + req.params, + req.headers, + path_prefix + dispatch_path, + req.query_string, + payload.dump(), + {}, + req.should_stop, + }; + + server_http_res_ptr internal_res = handlers.at(dispatch_path)(internal_req); + return parse_gcp_predict_response(internal_res); + } catch (const std::invalid_argument & e) { + return build_error(e.what(), ERROR_TYPE_INVALID_REQUEST); + } catch (const std::exception & e) { + return build_error(e.what(), ERROR_TYPE_SERVER); + } catch (...) { + return build_error("unknown error", ERROR_TYPE_SERVER); + } + })); + } + + json predictions = json::array(); + for (auto & future : futures) { + predictions.push_back(future.get()); + } + + auto res = std::make_unique(); + res->data = safe_json_to_str({{"predictions", predictions}}); + return res; + }); +} diff --git a/tools/server/server-http.h b/tools/server/server-http.h index d4d3b6e536..66ee555f50 100644 --- a/tools/server/server-http.h +++ b/tools/server/server-http.h @@ -67,6 +67,10 @@ struct server_http_context { std::thread thread; // server thread std::atomic is_ready = false; + // note: the handler should never throw exceptions + using handler_t = std::function; + mutable std::unordered_map handlers; + std::string path_prefix; std::string hostname; int port; @@ -78,12 +82,13 @@ struct server_http_context { bool start(); void stop() const; - // note: the handler should never throw exceptions - using handler_t = std::function; - void get(const std::string & path, const handler_t & handler) const; void post(const std::string & path, const handler_t & handler) const; + // Register the Google Cloud Platform (Vertex AI) compat (AIP_PREDICT_ROUTE env var, or /predict) + // Must be called AFTER all other API routes are registered + void register_gcp_compat(); + // for debugging std::string listening_address; }; diff --git a/tools/server/server-models.cpp b/tools/server/server-models.cpp index db6cbce8f9..698489a11e 100644 --- a/tools/server/server-models.cpp +++ b/tools/server/server-models.cpp @@ -44,6 +44,7 @@ extern char **environ; #define CMD_ROUTER_TO_CHILD_EXIT "cmd_router_to_child:exit" #define CMD_CHILD_TO_ROUTER_READY "cmd_child_to_router:ready" // also sent when waking up from sleep #define CMD_CHILD_TO_ROUTER_SLEEP "cmd_child_to_router:sleep" +#define CMD_CHILD_TO_ROUTER_INFO "cmd_child_to_router:info:" // followed by json string // address for child process, this is needed because router may run on 0.0.0.0 // ref: https://github.com/ggml-org/llama.cpp/issues/17862 @@ -160,6 +161,30 @@ void server_model_meta::update_args(common_preset_context & ctx_preset, std::str args = preset.to_args(bin_path); } +void server_model_meta::update_caps() { + try { + common_params params; + preset.apply_to_params(params, { + "LLAMA_ARG_MODEL", + "LLAMA_ARG_MODEL_URL", + "LLAMA_ARG_MMPROJ", + "LLAMA_ARG_MMPROJ_URL", + "LLAMA_ARG_HF_REPO", + "LLAMA_ARG_HF_REPO_FILE", + }); + params.offline = true; // avoid any unwanted network call during capability detection + common_params_handle_models(params, LLAMA_EXAMPLE_SERVER); + if (params.mmproj.path.empty()) { + multimodal = { false, false }; + } else { + multimodal = mtmd_get_cap_from_file(params.mmproj.path.c_str()); + } + } catch (const std::exception & e) { + LOG_WRN("failed to initialize common_params for multimodal capability detection: %s\n", e.what()); + multimodal = { false, false }; + } +} + // // server_models // @@ -235,6 +260,7 @@ void server_models::add_model(server_model_meta && meta) { } meta.update_args(ctx_preset, bin_path); // render args + meta.update_caps(); std::string name = meta.name; mapping[name] = instance_t{ /* subproc */ std::make_shared(), @@ -243,9 +269,8 @@ void server_models::add_model(server_model_meta && meta) { }; } -// TODO: allow refreshing cached model list void server_models::load_models() { - // loading models from 3 sources: + // Phase 1: load presets from all sources — pure I/O, no lock needed // 1. cached models common_presets cached_models = ctx_preset.load_from_cache(); SRV_INF("Loaded %zu cached model presets\n", cached_models.size()); @@ -270,112 +295,271 @@ void server_models::load_models() { // note: if a model exists in both cached and local, local takes precedence common_presets final_presets; - for (const auto & [name, preset] : cached_models) { - final_presets[name] = preset; - } - for (const auto & [name, preset] : local_models) { - final_presets[name] = preset; - } - - // process custom presets from INI + for (const auto & [name, preset] : cached_models) final_presets[name] = preset; + for (const auto & [name, preset] : local_models) final_presets[name] = preset; for (const auto & [name, custom] : custom_presets) { if (final_presets.find(name) != final_presets.end()) { - // apply custom config if exists - common_preset & target = final_presets[name]; - target.merge(custom); + final_presets[name].merge(custom); } else { - // otherwise add directly final_presets[name] = custom; } } - - // server base preset from CLI args take highest precedence + // server base preset from CLI args takes highest precedence for (auto & [name, preset] : final_presets) { preset.merge(base_preset); } - // convert presets to server_model_meta and add to mapping - for (const auto & preset : final_presets) { - server_model_meta meta{ - /* preset */ preset.second, - /* name */ preset.first, - /* aliases */ {}, - /* tags */ {}, - /* port */ 0, - /* status */ SERVER_MODEL_STATUS_UNLOADED, - /* last_used */ 0, - /* args */ std::vector(), - /* exit_code */ 0, - /* stop_timeout */ DEFAULT_STOP_TIMEOUT, - }; - add_model(std::move(meta)); - } - - // log available models - { - std::unordered_set custom_names; - for (const auto & [name, preset] : custom_presets) { - custom_names.insert(name); + // Helpers that read `mapping` — must be called while holding the lock. + std::unordered_set custom_names; + for (const auto & [name, preset] : custom_presets) custom_names.insert(name); + auto join_set = [](const std::set & s) { + std::string result; + for (const auto & v : s) { + if (!result.empty()) result += ", "; + result += v; } - auto join_set = [](const std::set & s) { - std::string result; - for (const auto & v : s) { - if (!result.empty()) { - result += ", "; - } - result += v; - } - return result; - }; - + return result; + }; + auto log_available_models = [&]() { SRV_INF("Available models (%zu) (*: custom preset)\n", mapping.size()); for (const auto & [name, inst] : mapping) { bool has_custom = custom_names.find(name) != custom_names.end(); std::string info; - if (!inst.meta.aliases.empty()) { - info += " (aliases: " + join_set(inst.meta.aliases) + ")"; - } - if (!inst.meta.tags.empty()) { - info += " [tags: " + join_set(inst.meta.tags) + "]"; - } + if (!inst.meta.aliases.empty()) info += " (aliases: " + join_set(inst.meta.aliases) + ")"; + if (!inst.meta.tags.empty()) info += " [tags: " + join_set(inst.meta.tags) + "]"; SRV_INF(" %c %s%s\n", has_custom ? '*' : ' ', name.c_str(), info.c_str()); } - } - - // handle custom stop-timeout option - for (auto & [name, inst] : mapping) { - std::string val; - if (inst.meta.preset.get_option(COMMON_ARG_PRESET_STOP_TIMEOUT, val)) { - try { - inst.meta.stop_timeout = std::stoi(val); - } catch (...) { - SRV_WRN("invalid stop-timeout value '%s' for model '%s', using default %d seconds\n", - val.c_str(), name.c_str(), DEFAULT_STOP_TIMEOUT); - inst.meta.stop_timeout = DEFAULT_STOP_TIMEOUT; + }; + auto apply_stop_timeout = [&]() { + for (auto & [name, inst] : mapping) { + std::string val; + if (inst.meta.preset.get_option(COMMON_ARG_PRESET_STOP_TIMEOUT, val)) { + try { + inst.meta.stop_timeout = std::stoi(val); + } catch (...) { + SRV_WRN("invalid stop-timeout value '%s' for model '%s', using default %d seconds\n", + val.c_str(), name.c_str(), DEFAULT_STOP_TIMEOUT); + inst.meta.stop_timeout = DEFAULT_STOP_TIMEOUT; + } } } - } + }; + // update_args() injects HOST/PORT/ALIAS, so strip them before comparing presets + auto preset_options_for_compare = [](common_preset p) { + p.unset_option("LLAMA_ARG_HOST"); + p.unset_option("LLAMA_ARG_PORT"); + p.unset_option("LLAMA_ARG_ALIAS"); + return p.options; + }; - // load any autoload models - std::vector models_to_load; - for (const auto & [name, inst] : mapping) { - std::string val; - if (inst.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val)) { - if (common_arg_utils::is_truthy(val)) { + // Phase 2: acquire the lock once for all mapping mutations. + // We temporarily release it only when calling functions that acquire it internally + // (unload, load) or when joining threads (the monitoring thread calls update_status + // which locks the mutex, so joining while holding it would deadlock). + std::unique_lock lk(mutex); + bool is_first_load = mapping.empty(); + + if (is_first_load) { + // FIRST LOAD: add all models, then unlock for autoloading + for (const auto & [name, preset] : final_presets) { + server_model_meta meta{ + /* preset */ preset, + /* name */ name, + /* aliases */ {}, + /* tags */ {}, + /* port */ 0, + /* status */ SERVER_MODEL_STATUS_UNLOADED, + /* last_used */ 0, + /* args */ std::vector(), + /* loaded_info */ {}, + /* exit_code */ 0, + /* stop_timeout */ DEFAULT_STOP_TIMEOUT, + /* multimodal */ mtmd_caps{false, false}, + }; + add_model(std::move(meta)); + } + apply_stop_timeout(); + log_available_models(); + + std::vector models_to_load; + for (const auto & [name, inst] : mapping) { + std::string val; + if (inst.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val) && common_arg_utils::is_truthy(val)) { models_to_load.push_back(name); } } - } - if ((int)models_to_load.size() > base_params.models_max) { - throw std::runtime_error(string_format( - "number of models to load on startup (%zu) exceeds models_max (%d)", - models_to_load.size(), - base_params.models_max - )); - } - for (const auto & name : models_to_load) { - SRV_INF("(startup) loading model %s\n", name.c_str()); - load(name); + if ((int)models_to_load.size() > base_params.models_max) { + throw std::runtime_error(string_format( + "number of models to load on startup (%zu) exceeds models_max (%d)", + models_to_load.size(), base_params.models_max)); + } + + lk.unlock(); + for (const auto & name : models_to_load) { + SRV_INF("(startup) loading model %s\n", name.c_str()); + load(name); + } + } else { + // RELOAD: diff the new preset list against the current mapping and reconcile + is_reloading = true; + + // find running models whose source was removed or whose preset changed + std::vector to_unload; + for (const auto & [name, inst] : mapping) { + if (!inst.meta.is_running()) continue; + auto it = final_presets.find(name); + if (it == final_presets.end()) { + to_unload.push_back(name); // removed from source + } else if (preset_options_for_compare(inst.meta.preset) != preset_options_for_compare(it->second)) { + to_unload.push_back(name); // preset changed + } + } + + // unload() acquires the lock internally, so release before each call + for (const auto & name : to_unload) { + SRV_INF("(reload) unloading model name=%s (source updated or removed)\n", name.c_str()); + lk.unlock(); + unload(name); + lk.lock(); + } + + // wait for all targeted models to reach UNLOADED; cv.wait handles unlock/relock + cv.wait(lk, [&]() { + for (const auto & name : to_unload) { + auto it = mapping.find(name); + if (it != mapping.end() && it->second.meta.is_running()) return false; + } + return true; + }); + + // collect all threads to join in one pass while the lock is held: + // - monitoring threads from just-unloaded models (to_unload) + // - threads of already-UNLOADED models that are being removed from source + std::vector threads_to_join; + for (const auto & name : to_unload) { + auto it = mapping.find(name); + if (it != mapping.end() && it->second.th.joinable()) { + threads_to_join.push_back(std::move(it->second.th)); + } + } + for (auto & [name, inst] : mapping) { + if (final_presets.find(name) == final_presets.end() && !inst.meta.is_running() && inst.th.joinable()) { + threads_to_join.push_back(std::move(inst.th)); + } + } + + // join outside the lock — monitoring thread calls update_status (needs lock) + lk.unlock(); + for (auto & th : threads_to_join) th.join(); + lk.lock(); + + // erase models no longer in any source + for (auto it = mapping.begin(); it != mapping.end(); ) { + if (final_presets.find(it->first) == final_presets.end()) { + SRV_INF("(reload) removing model name=%s (no longer in source)\n", it->first.c_str()); + GGML_ASSERT(!it->second.th.joinable()); // must have been joined above + it = mapping.erase(it); + } else { + ++it; + } + } + + // update presets for non-running models still in source + for (auto & [name, inst] : mapping) { + if (inst.meta.is_running()) continue; + auto it = final_presets.find(name); + if (it == final_presets.end()) continue; // erased above + + inst.meta.preset = it->second; + + // re-parse aliases, then validate against other models + std::set new_aliases; + std::string alias_str; + if (inst.meta.preset.get_option("LLAMA_ARG_ALIAS", alias_str) && !alias_str.empty()) { + for (auto & alias : string_split(alias_str, ',')) { + alias = string_strip(alias); + if (!alias.empty()) new_aliases.insert(alias); + } + } + inst.meta.aliases.clear(); + for (const auto & alias : new_aliases) { + bool conflict = false; + for (const auto & [other_name, other_inst] : mapping) { + if (other_name == name) continue; + if (other_name == alias || other_inst.meta.aliases.count(alias)) { + SRV_WRN("(reload) alias '%s' for model '%s' conflicts with model '%s', skipping\n", + alias.c_str(), name.c_str(), other_name.c_str()); + conflict = true; + break; + } + } + if (!conflict) inst.meta.aliases.insert(alias); + } + + // re-parse tags + inst.meta.tags.clear(); + std::string tags_str; + if (inst.meta.preset.get_option("LLAMA_ARG_TAGS", tags_str) && !tags_str.empty()) { + for (auto & tag : string_split(tags_str, ',')) { + tag = string_strip(tag); + if (!tag.empty()) inst.meta.tags.insert(tag); + } + } + + inst.meta.exit_code = 0; // clear failed state so the model can be reloaded + inst.meta.update_args(ctx_preset, bin_path); + inst.meta.update_caps(); + } + + // add models that are new in this reload + std::vector newly_added; + for (const auto & [name, preset] : final_presets) { + if (mapping.find(name) == mapping.end()) { + server_model_meta meta{ + /* preset */ preset, + /* name */ name, + /* aliases */ {}, + /* tags */ {}, + /* port */ 0, + /* status */ SERVER_MODEL_STATUS_UNLOADED, + /* last_used */ 0, + /* args */ std::vector(), + /* loaded_info */ {}, + /* exit_code */ 0, + /* stop_timeout */ DEFAULT_STOP_TIMEOUT, + /* multimodal */ mtmd_caps{false, false}, + }; + add_model(std::move(meta)); + newly_added.push_back(name); + } + } + + apply_stop_timeout(); + + // clear reload flag before unlocking for autoload — load() blocks on !is_reloading, + // so clearing it here (while still locked) prevents a deadlock in the autoload calls below + is_reloading = false; + cv.notify_all(); + + log_available_models(); + + // collect autoload candidates while still under the lock + std::vector to_autoload; + for (const auto & name : newly_added) { + auto it = mapping.find(name); + if (it != mapping.end()) { + std::string val; + if (it->second.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val) && common_arg_utils::is_truthy(val)) { + to_autoload.push_back(name); + } + } + } + + lk.unlock(); + for (const auto & name : to_autoload) { + SRV_INF("(reload) loading new model %s\n", name.c_str()); + load(name); + } } } @@ -536,7 +720,10 @@ void server_models::load(const std::string & name) { } unload_lru(); - std::lock_guard lk(mutex); + std::unique_lock lk(mutex); + // edge case: block until any in-progress reload has finished so we always load + // against the freshest preset and a consistent mapping state + cv.wait(lk, [this]() { return !is_reloading; }); auto meta = mapping[name].meta; if (meta.status != SERVER_MODEL_STATUS_UNLOADED) { @@ -562,10 +749,11 @@ void server_models::load(const std::string & name) { // prepare new instance info instance_t inst; - inst.meta = meta; - inst.meta.port = get_free_port(); - inst.meta.status = SERVER_MODEL_STATUS_LOADING; - inst.meta.last_used = ggml_time_ms(); + inst.meta = meta; + inst.meta.port = get_free_port(); + inst.meta.status = SERVER_MODEL_STATUS_LOADING; + inst.meta.loaded_info = json{}; + inst.meta.last_used = ggml_time_ms(); if (inst.meta.port <= 0) { throw std::runtime_error("failed to get a port number"); @@ -611,12 +799,14 @@ void server_models::load(const std::string & name) { // read stdout/stderr and forward to main server log // also handle status report from child process if (stdout_file) { - char buffer[4096]; + char buffer[128 * 1024]; // large buffer for storing info while (fgets(buffer, sizeof(buffer), stdout_file) != nullptr) { LOG("[%5d] %s", port, buffer); std::string str(buffer); if (string_starts_with(buffer, CMD_CHILD_TO_ROUTER_READY)) { this->update_status(name, SERVER_MODEL_STATUS_LOADED, 0); + } else if (string_starts_with(buffer, CMD_CHILD_TO_ROUTER_INFO)) { + this->update_loaded_info(name, str); } else if (string_starts_with(buffer, CMD_CHILD_TO_ROUTER_SLEEP)) { this->update_status(name, SERVER_MODEL_STATUS_SLEEPING, 0); } @@ -760,6 +950,29 @@ void server_models::update_status(const std::string & name, server_model_status cv.notify_all(); } +void server_models::update_loaded_info(const std::string & name, std::string & raw_info) { + if (!string_starts_with(raw_info, CMD_CHILD_TO_ROUTER_INFO)) { + SRV_WRN("invalid loaded info format from child for model name=%s: %s\n", name.c_str(), raw_info.c_str()); + return; + } + + json info; + try { + info = json::parse(raw_info.substr(strlen(CMD_CHILD_TO_ROUTER_INFO))); + } catch (const std::exception & e) { + SRV_WRN("failed to parse loaded info from child for model name=%s: %s\n", name.c_str(), e.what()); + return; + } + + std::unique_lock lk(mutex); + auto it = mapping.find(name); + if (it != mapping.end()) { + auto & meta = it->second.meta; + meta.loaded_info = info; + } + cv.notify_all(); +} + void server_models::wait_until_loading_finished(const std::string & name) { std::unique_lock lk(mutex); cv.wait(lk, [this, &name]() { @@ -838,12 +1051,14 @@ bool server_models::is_child_server() { return router_port != nullptr; } -std::thread server_models::setup_child_server(const std::function & shutdown_handler) { +std::thread server_models::setup_child_server(const std::function & shutdown_handler, const json & model_info) { // send a notification to the router server that a model instance is ready common_log_pause(common_log_main()); fflush(stdout); fprintf(stdout, "%s\n", CMD_CHILD_TO_ROUTER_READY); fflush(stdout); + fprintf(stdout, "%s%s\n", CMD_CHILD_TO_ROUTER_INFO, safe_json_to_str(model_info).c_str()); + fflush(stdout); common_log_resume(common_log_main()); // setup thread for monitoring stdin @@ -993,7 +1208,11 @@ void server_models_routes::init_routes() { return res; }; - this->get_router_models = [this](const server_http_req &) { + this->get_router_models = [this](const server_http_req & req) { + bool reload = !req.get_param("reload", "").empty(); + if (reload) { + models.load_models(); + } auto res = std::make_unique(); json models_json = json::array(); auto all_models = models.get_all_meta(); @@ -1016,16 +1235,41 @@ void server_models_routes::init_routes() { status["exit_code"] = meta.exit_code; status["failed"] = true; } - models_json.push_back(json { - {"id", meta.name}, - {"aliases", meta.aliases}, - {"tags", meta.tags}, - {"object", "model"}, // for OAI-compat - {"owned_by", "llamacpp"}, // for OAI-compat - {"created", t}, // for OAI-compat - {"status", status}, + + // pi coding agent multimodal compatibility + json input_modalities = json::array({"text"}); + if (meta.multimodal.inp_vision) { + input_modalities.push_back("image"); + } + if (meta.multimodal.inp_audio) { + input_modalities.push_back("audio"); + } + json architecture { + {"input_modalities", input_modalities}, + {"output_modalities", json::array({"text"})}, + }; + + json model_info = json { + {"id", meta.name}, + {"aliases", meta.aliases}, + {"tags", meta.tags}, + {"object", "model"}, // for OAI-compat + {"owned_by", "llamacpp"}, // for OAI-compat + {"created", t}, // for OAI-compat + {"status", status}, + {"architecture", architecture}, // TODO: add other fields, may require reading GGUF metadata - }); + }; + + // merge with loaded_info from the child process if available + if (meta.is_running()) { + for (auto it = meta.loaded_info.begin(); it != meta.loaded_info.end(); ++it) { + if (!model_info.contains(it.key())) { + model_info[it.key()] = it.value(); + } + } + } + models_json.push_back(model_info); } res_ok(res, { {"data", models_json}, diff --git a/tools/server/server-models.h b/tools/server/server-models.h index b3428ef544..f1206c7144 100644 --- a/tools/server/server-models.h +++ b/tools/server/server-models.h @@ -63,8 +63,10 @@ struct server_model_meta { server_model_status status = SERVER_MODEL_STATUS_UNLOADED; int64_t last_used = 0; // for LRU unloading std::vector args; // args passed to the model instance, will be populated by render_args() + json loaded_info; // info to be reflected via /v1/models endpoint int exit_code = 0; // exit code of the model instance process (only valid if status == FAILED) int stop_timeout = 0; // seconds to wait before force-killing the model instance during shutdown + mtmd_caps multimodal; // multimodal capabilities bool is_ready() const { return status == SERVER_MODEL_STATUS_LOADED; @@ -79,6 +81,7 @@ struct server_model_meta { } void update_args(common_preset_context & ctx_presets, std::string bin_path); + void update_caps(); }; struct subprocess_s; @@ -100,6 +103,9 @@ private: std::condition_variable cv_stop; std::set stopping_models; + // set to true while load_models() is executing a reload; load() will wait until clear + bool is_reloading = false; + common_preset_context ctx_preset; common_params base_params; @@ -118,6 +124,11 @@ private: public: server_models(const common_params & params, int argc, char ** argv); + // (re-)load the list of models from various sources and prepare the metadata mapping + // - if this is called the first time, simply populate the metadata + // - if this is called subsequently (e.g. when refreshing from disk): + // - if a model is running but updated or removed from the source, it will be unloaded + // - if a model is not running, it will be added or updated according to the source void load_models(); // check if a model instance exists (thread-safe) @@ -137,6 +148,7 @@ public: // update the status of a model instance (thread-safe) void update_status(const std::string & name, server_model_status status, int exit_code); + void update_loaded_info(const std::string & name, std::string & raw_info); // wait until the model instance is fully loaded (thread-safe) // return when the model no longer in "loading" state @@ -155,7 +167,7 @@ public: // notify the router server that a model instance is ready // return the monitoring thread (to be joined by the caller) - static std::thread setup_child_server(const std::function & shutdown_handler); + static std::thread setup_child_server(const std::function & shutdown_handler, const json & model_info); // notify the router server that the sleeping state has changed static void notify_router_sleeping_state(bool sleeping); diff --git a/tools/server/server-queue.cpp b/tools/server/server-queue.cpp index a2a026a12c..d5fceb1b13 100644 --- a/tools/server/server-queue.cpp +++ b/tools/server/server-queue.cpp @@ -381,7 +381,8 @@ server_task_result_ptr server_response_reader::next(const std::function if (result == nullptr) { // timeout, check stop condition if (should_stop()) { - SRV_DBG("%s", "stopping wait for next result due to should_stop condition\n"); + SRV_WRN("%s", "stopping wait for next result due to should_stop condition (adjust the --timeout argument if needed)\n"); + SRV_WRN("%s", "ref: https://github.com/ggml-org/llama.cpp/pull/22907\n"); return nullptr; } } else { diff --git a/tools/server/server-task.cpp b/tools/server/server-task.cpp index 45e5168fab..b9b4a704a1 100644 --- a/tools/server/server-task.cpp +++ b/tools/server/server-task.cpp @@ -76,7 +76,7 @@ json task_params::to_json(bool only_metrics) const { {"reasoning_in_content", chat_parser_params.reasoning_in_content}, {"generation_prompt", chat_parser_params.generation_prompt}, {"samplers", samplers}, - {"speculative.type", common_speculative_type_to_str(speculative.type)}, + {"speculative.types", common_speculative_type_name_str(speculative.types)}, {"timings_per_token", timings_per_token}, {"post_sampling_probs", post_sampling_probs}, {"backend_sampling", sampling.backend_sampling}, @@ -133,7 +133,7 @@ json task_params::to_json(bool only_metrics) const { {"reasoning_in_content", chat_parser_params.reasoning_in_content}, {"generation_prompt", chat_parser_params.generation_prompt}, {"samplers", samplers}, - {"speculative.type", common_speculative_type_to_str(speculative.type)}, + {"speculative.types", common_speculative_type_name_str(speculative.types)}, {"timings_per_token", timings_per_token}, {"post_sampling_probs", post_sampling_probs}, {"backend_sampling", sampling.backend_sampling}, @@ -296,6 +296,8 @@ task_params server_task::params_from_json_cmpl( params.speculative = defaults.speculative; + // TODO: to keep things simple, we disable speculative parameter adjustments for now +#if 0 // TODO: for now, be able to adjust only the draft-model based speculative parameters params.speculative.draft.n_min = json_value(data, "speculative.n_min", defaults.speculative.draft.n_min); params.speculative.draft.n_max = json_value(data, "speculative.n_max", defaults.speculative.draft.n_max); @@ -305,7 +307,6 @@ task_params server_task::params_from_json_cmpl( params.speculative.draft.n_min = std::max(params.speculative.draft.n_min, 0); params.speculative.draft.n_max = std::max(params.speculative.draft.n_max, 0); -#if 0 // for debugging and research purposes params.speculative.type = common_speculative_type_from_name(json_value(data, "speculative.type", common_speculative_type_to_str(defaults.speculative.type))); @@ -1981,7 +1982,7 @@ size_t server_prompt_cache::n_tokens() const { return res; } -server_prompt * server_prompt_cache::alloc(const server_prompt & prompt, size_t state_size) { +server_prompt * server_prompt_cache::alloc(const server_prompt & prompt, size_t state_size_tgt, size_t state_size_dft) { // first check if the current state is contained fully in the cache for (auto it = states.begin(); it != states.end(); ++it) { const int cur_lcp_len = it->tokens.get_common_prefix(prompt.tokens); @@ -2005,11 +2006,13 @@ server_prompt * server_prompt_cache::alloc(const server_prompt & prompt, size_t } } - std::vector state_data; + std::vector state_data_tgt; + std::vector state_data_dft; // check if we can allocate enough memory for the new state try { - state_data.resize(state_size); + state_data_tgt.resize(state_size_tgt); + state_data_dft.resize(state_size_dft); } catch (const std::bad_alloc & e) { SRV_ERR("failed to allocate memory for prompt cache state: %s\n", e.what()); @@ -2022,17 +2025,19 @@ server_prompt * server_prompt_cache::alloc(const server_prompt & prompt, size_t return nullptr; } - auto & cur = states.emplace_back(); - cur = { + states.push_back({ /*.tokens =*/ prompt.tokens.clone(), - /*.data =*/ std::move(state_data), + /*.data =*/ { + /*.main =*/ std::move(state_data_tgt), + /*.drft =*/ std::move(state_data_dft), + }, /*.checkpoints =*/ prompt.checkpoints, - }; + }); - return &cur; + return &states.back(); } -bool server_prompt_cache::load(server_prompt & prompt, const server_tokens & tokens_new, llama_context * ctx, int32_t id_slot) { +bool server_prompt_cache::load(server_prompt & prompt, const server_tokens & tokens_new, llama_context * ctx_tgt, llama_context * ctx_dft, int32_t id_slot) { const int lcp_best = prompt.tokens.get_common_prefix(tokens_new); float f_keep_best = prompt.tokens.size() > 0 ? float(lcp_best) / prompt.tokens.size() : -1.0f; // empty slot: any cache entry wins @@ -2065,16 +2070,39 @@ bool server_prompt_cache::load(server_prompt & prompt, const server_tokens & tok if (it_best != states.end()) { SRV_WRN(" - found better prompt with f_keep = %.3f, sim = %.3f\n", f_keep_best, sim_best); - const size_t size = it_best->data.size(); - const size_t n = llama_state_seq_set_data_ext(ctx, it_best->data.data(), size, id_slot, 0); - if (n != size) { - SRV_WRN("failed to restore state with size %zu\n", size); + { + auto & data = it_best->data.main; - return false; + const size_t size = data.size(); + const size_t n = llama_state_seq_set_data_ext(ctx_tgt, data.data(), size, id_slot, 0); + if (n != size) { + SRV_WRN("failed to restore state with size %zu\n", size); + + return false; + } + + data.clear(); + data.shrink_to_fit(); } - it_best->data.clear(); - it_best->data.shrink_to_fit(); + { + auto & data = it_best->data.drft; + + if (!data.empty()) { + GGML_ASSERT(ctx_dft); + + const size_t size = data.size(); + const size_t n = llama_state_seq_set_data_ext(ctx_dft, data.data(), size, id_slot, 0); + if (n != size) { + SRV_WRN("failed to restore state with size %zu\n", size); + + return false; + } + + data.clear(); + data.shrink_to_fit(); + } + } prompt = std::move(*it_best); diff --git a/tools/server/server-task.h b/tools/server/server-task.h index 289e1fb8d2..64bdecd794 100644 --- a/tools/server/server-task.h +++ b/tools/server/server-task.h @@ -565,42 +565,29 @@ struct server_task_result_apply_lora : server_task_result { virtual json to_json() override; }; -struct server_prompt_checkpoint { - llama_pos pos_min; - llama_pos pos_max; - - int64_t n_tokens; - - std::vector data; +struct server_prompt_data { + std::vector main; + std::vector drft; size_t size() const { - return data.size(); - } - - bool empty() const { - return data.empty(); - } - - void clear() { - pos_min = 0; - pos_max = 0; - n_tokens = 0; - data.clear(); + return main.size() + drft.size(); } }; struct server_prompt { server_tokens tokens; - std::vector data; + server_prompt_data data; - std::list checkpoints; + std::list checkpoints; size_t size() const { - size_t res = data.size(); + size_t res = 0; - for (const auto & checkpoint : checkpoints) { - res += checkpoint.size(); + res += data.size(); + + for (const auto & ckpt : checkpoints) { + res += ckpt.size(); } return res; @@ -614,7 +601,7 @@ struct server_prompt { return server_prompt { tokens.clone(), data, - checkpoints + checkpoints, }; } }; @@ -637,9 +624,9 @@ struct server_prompt_cache { size_t n_tokens() const; - server_prompt * alloc(const server_prompt & prompt, size_t state_size); + server_prompt * alloc(const server_prompt & prompt, size_t state_size_main, size_t state_size_drft); - bool load(server_prompt & prompt, const server_tokens & tokens_new, llama_context * ctx, int32_t id_slot); + bool load(server_prompt & prompt, const server_tokens & tokens_new, llama_context * ctx_main, llama_context * ctx_drft, int32_t id_slot); void update(); }; diff --git a/tools/server/server-tools.cpp b/tools/server/server-tools.cpp index 81e360de46..97433fe4b5 100644 --- a/tools/server/server-tools.cpp +++ b/tools/server/server-tools.cpp @@ -10,6 +10,7 @@ #include #include #include +#include namespace fs = std::filesystem; @@ -693,6 +694,35 @@ struct server_tool_apply_diff : server_tool { } }; +// +// get_datetime: returns the current date and time +// + +struct server_tool_get_datetime : server_tool { + server_tool_get_datetime() { + name = "get_datetime"; + display_name = "Get Date & Time"; + permission_write = false; + } + + json get_definition() override { + return { + {"type", "function"}, + {"function", { + {"name", name}, + {"description", "Returns the current date and time"}, + }}, + }; + } + + json invoke(json) override { + auto now = std::chrono::system_clock::now(); + auto time = std::chrono::system_clock::to_time_t(now); + + return {{"result", std::ctime(&time)}}; + } +}; + // // public API // @@ -706,6 +736,7 @@ static std::vector> build_tools() { tools.push_back(std::make_unique()); tools.push_back(std::make_unique()); tools.push_back(std::make_unique()); + tools.push_back(std::make_unique()); return tools; } @@ -714,6 +745,24 @@ void server_tools::setup(const std::vector & enabled_tools) { std::unordered_set enabled_set(enabled_tools.begin(), enabled_tools.end()); auto all_tools = build_tools(); + // collect all known tool names for validation + std::vector known_names; + known_names.reserve(all_tools.size()); + for (const auto & t : all_tools) { + known_names.push_back(t->name); + } + + // validate that every requested tool is known + for (const auto & name : enabled_tools) { + if (name == "all") continue; + if (std::find(known_names.begin(), known_names.end(), name) == known_names.end()) { + throw std::runtime_error(string_format( + "unknown tool \"%s\". available tools: %s", + name.c_str(), + string_join(known_names, ", ").c_str())); + } + } + tools.clear(); for (auto & t : all_tools) { if (enabled_set.count(t->name) > 0 || enabled_set.count("all") > 0) { diff --git a/tools/server/server.cpp b/tools/server/server.cpp index 6566949edf..371b13c44a 100644 --- a/tools/server/server.cpp +++ b/tools/server/server.cpp @@ -204,6 +204,10 @@ int main(int argc, char ** argv) { // Save & load slots ctx_http.get ("/slots", ex_wrapper(routes.get_slots)); ctx_http.post("/slots/:id_slot", ex_wrapper(routes.post_slots)); + + // Google Cloud Platform (Vertex AI) compat + ctx_http.register_gcp_compat(); + // CORS proxy (EXPERIMENTAL, only used by the Web UI for MCP) if (params.webui_mcp_proxy) { SRV_WRN("%s", "-----------------\n"); @@ -215,7 +219,12 @@ int main(int argc, char ** argv) { } // EXPERIMENTAL built-in tools if (!params.server_tools.empty()) { - tools.setup(params.server_tools); + try { + tools.setup(params.server_tools); + } catch (const std::exception & e) { + LOG_ERR("%s: tools setup failed: %s\n", __func__, e.what()); + return 1; + } SRV_WRN("%s", "-----------------\n"); SRV_WRN("%s", "Built-in tools are enabled, do not expose server to untrusted environments\n"); SRV_WRN("%s", "This feature is EXPERIMENTAL and may be changed in the future\n"); @@ -329,7 +338,8 @@ int main(int argc, char ** argv) { // optionally, notify router server that this instance is ready std::thread monitor_thread; if (server_models::is_child_server()) { - monitor_thread = server_models::setup_child_server(shutdown_handler); + json model_info = routes.get_model_info(); + monitor_thread = server_models::setup_child_server(shutdown_handler, model_info); } // this call blocks the main thread until queue_tasks.terminate() is called diff --git a/tools/server/tests/unit/test_compat_gcp.py b/tools/server/tests/unit/test_compat_gcp.py new file mode 100644 index 0000000000..aba67bb353 --- /dev/null +++ b/tools/server/tests/unit/test_compat_gcp.py @@ -0,0 +1,60 @@ +import pytest +from utils import * + +server: ServerProcess + + +@pytest.fixture(autouse=True) +def create_server(): + global server + server = ServerPreset.tinyllama2() + server.gcp_compat = True + + +def test_gcp_predict_camel_case(): + global server + server.start() + res = server.make_request("POST", "/predict", data={ + "instances": [ + { + "@requestFormat": "chatCompletions", + "max_tokens": 8, + "messages": [ + {"role": "user", "content": "What is the meaning of life?"}, + ], + } + ], + }) + assert res.status_code == 200 + assert "predictions" in res.body + assert len(res.body["predictions"]) == 1 + prediction = res.body["predictions"][0] + assert "choices" in prediction + assert len(prediction["choices"]) == 1 + assert prediction["choices"][0]["message"]["role"] == "assistant" + assert len(prediction["choices"][0]["message"]["content"]) > 0 + + +def test_gcp_predict_multiple_instances(): + global server + server.n_slots = 2 + server.start() + res = server.make_request("POST", "/predict", data={ + "instances": [ + { + "@requestFormat": "chatCompletions", + "max_tokens": 8, + "messages": [{"role": "user", "content": "Say hello"}], + }, + { + "@requestFormat": "chatCompletions", + "max_tokens": 8, + "messages": [{"role": "user", "content": "Say world"}], + }, + ], + }) + assert res.status_code == 200 + assert len(res.body["predictions"]) == 2 + for prediction in res.body["predictions"]: + assert "choices" in prediction + assert len(prediction["choices"][0]["message"]["content"]) > 0 diff --git a/tools/server/tests/unit/test_completion.py b/tools/server/tests/unit/test_completion.py index c1a1978543..1e0891987a 100644 --- a/tools/server/tests/unit/test_completion.py +++ b/tools/server/tests/unit/test_completion.py @@ -491,29 +491,82 @@ def test_n_probs_post_sampling(): global server server.start() res = server.make_request("POST", "/completion", data={ - "prompt": "I believe the meaning of life is", + "prompt": "Today was the day. Today I would finally become a", "n_probs": 10, - "temperature": 0.0, + "temperature": 1.0, "n_predict": 5, "post_sampling_probs": True, }) assert res.status_code == 200 assert "completion_probabilities" in res.body assert len(res.body["completion_probabilities"]) == 5 - for tok in res.body["completion_probabilities"]: + for (i, tok) in enumerate(res.body["completion_probabilities"]): assert "id" in tok and tok["id"] > 0 assert "token" in tok and type(tok["token"]) == str assert "prob" in tok and 0.0 < tok["prob"] <= 1.0 assert "bytes" in tok and type(tok["bytes"]) == list - assert len(tok["top_probs"]) == 10 + assert "top_probs" in tok and type(tok["top_probs"]) == list + for prob in tok["top_probs"]: assert "id" in prob and prob["id"] > 0 assert "token" in prob and type(prob["token"]) == str - assert "prob" in prob and 0.0 <= prob["prob"] <= 1.0 + # 0.0 probability tokens should never be returned by the server + assert "prob" in prob and 0.0 < prob["prob"] <= 1.0 assert "bytes" in prob and type(prob["bytes"]) == list - # because the test model usually output token with either 100% or 0% probability, we need to check all the top_probs - assert any(prob["prob"] == 1.0 for prob in tok["top_probs"]) + if i == 0: + # The prompt is vague enough that we should get at least 10 possibilities + # for the first token. + assert len(tok["top_probs"]) == 10 + + if len(tok["top_probs"]) < 10: + # Getting less than the requested number of probabilities should only happen + # if the ones we did get already sum to 1.0. + assert sum(p["prob"] for p in tok["top_probs"]) == pytest.approx(1.0) + +def test_n_probs_post_backend_sampling(): + """Verify that the same probabilities are returned with and without backend sampling.""" + global server + server.backend_sampling = True + server.start() + + def make_request(backend_sampling): + n_predict = 20 + + res = server.make_request("POST", "/completion", data={ + "prompt": "The countries of Europe, in random order, are:", + "n_probs": 10, + "n_predict": n_predict, + "post_sampling_probs": True, + "seed": 4242, + "backend_sampling": backend_sampling, + }) + assert res.status_code == 200 + + total_probs = 0 + completions = res.body["completion_probabilities"] + assert len(completions) == n_predict + for tok in completions: + # Handling of 0.0 probabilities differs between samplers and backend sampling. Filter them to normalize the + # data. + tok["top_probs"] = [x for x in tok["top_probs"] if x["prob"] > 0.0] + total_probs += len(tok["top_probs"]) + # Verify that we got at least two top probs on average, to ensure the effectiveness of the test. + assert total_probs >= 2 * n_predict + return completions + + def verify_token(a, b): + assert a["id"] == b["id"] + assert a["token"] == b["token"] + assert a["bytes"] == b["bytes"] + assert a["prob"] == pytest.approx(b["prob"], abs=0.01) + + for (a, b) in zip(make_request(True), make_request(False)): + verify_token(a, b) + assert len(a["top_probs"]) == len(b["top_probs"]) + + for (aa, bb) in zip(a["top_probs"], b["top_probs"]): + verify_token(aa, bb) @pytest.mark.parametrize("tokenize,openai_style", [(False, False), (False, True), (True, False), (True, True)]) def test_logit_bias(tokenize, openai_style): diff --git a/tools/server/tests/unit/test_router.py b/tools/server/tests/unit/test_router.py index 79e60db408..c93b92b0b2 100644 --- a/tools/server/tests/unit/test_router.py +++ b/tools/server/tests/unit/test_router.py @@ -62,6 +62,12 @@ def test_router_chat_completion_stream(model: str, success: bool): assert content == "" +def _get_model_ids(is_reload: bool) -> set[str]: + res = server.make_request("GET", "/models" + ("?reload=1" if is_reload else "")) + assert res.status_code == 200 + return {item["id"] for item in res.body.get("data", [])} + + def _get_model_status(model_id: str) -> str: res = server.make_request("GET", "/models") assert res.status_code == 200 @@ -205,3 +211,45 @@ def test_router_api_key_required(): ) assert authed.status_code == 200 assert "error" not in authed.body + + +def test_router_reload_models(): + """POST /models/reload re-reads the INI preset and updates the model list.""" + global server + + preset_path = os.path.join(TMP_DIR, "test_reload.ini") + + # Initial preset: two models + with open(preset_path, "w") as f: + f.write( + "[model-reload-a]\n" + "hf-repo = ggml-org/test-model-stories260K\n" + "\n" + "[model-reload-b]\n" + "hf-repo = ggml-org/test-model-stories260K-infill\n" + ) + + server.models_preset = preset_path + server.start() + + ids = _get_model_ids(is_reload=False) + assert "model-reload-a" in ids + assert "model-reload-b" in ids + + # Updated preset: remove a, keep b unchanged, add c + with open(preset_path, "w") as f: + f.write( + "[model-reload-b]\n" + "hf-repo = ggml-org/test-model-stories260K-infill\n" + "\n" + "[model-reload-c]\n" + "hf-repo = ggml-org/test-model-stories260K\n" + ) + + try: + ids = _get_model_ids(is_reload=True) + assert "model-reload-a" not in ids, "removed model should no longer appear" + assert "model-reload-b" in ids, "unchanged model should still appear" + assert "model-reload-c" in ids, "newly added model should appear" + finally: + os.remove(preset_path) diff --git a/tools/server/tests/unit/test_speculative.py b/tools/server/tests/unit/test_speculative.py index eebd3cc8fa..84cd77e6f2 100644 --- a/tools/server/tests/unit/test_speculative.py +++ b/tools/server/tests/unit/test_speculative.py @@ -5,7 +5,7 @@ from utils import * server = ServerPreset.stories15m_moe() -MODEL_DRAFT_FILE_URL = "https://huggingface.co/ggml-org/models/resolve/main/tinyllamas/stories15M-q4_0.gguf" +MODEL_DRAFT_FILE_URL = "https://huggingface.co/ggml-org/tiny-llamas/resolve/main/stories15M-q4_0.gguf" def create_server(): global server diff --git a/tools/server/tests/unit/test_tool_call.py b/tools/server/tests/unit/test_tool_call.py index b1a5ab9da4..9fa84d165e 100755 --- a/tools/server/tests/unit/test_tool_call.py +++ b/tools/server/tests/unit/test_tool_call.py @@ -126,69 +126,70 @@ def do_test_completion_with_required_tool_tiny(server: ServerProcess, tool: dict actual_arguments = json.loads(actual_arguments) assert argument_key in actual_arguments, f"tool arguments: {actual_arguments}, expected: {argument_key}" +# PR #22654: commented out since we're now allowing content before tool calls in tool_call: required, so we can't force this +# in the tiny model just by using the grammar +# +# @pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED]) +# @pytest.mark.parametrize("template_name,tool,argument_key", [ +# ("Qwen3-Coder", TEST_TOOL, "success"), +# ("Qwen3-Coder", TEST_TOOL, "success"), +# ("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"), +# ("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"), +# ("meta-llama-Llama-3.3-70B-Instruct", PYTHON_TOOL, "code"), +# ("meta-llama-Llama-3.3-70B-Instruct", PYTHON_TOOL, "code"), +# ]) +# def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode): +# global server +# n_predict = 1024 +# # server = ServerPreset.stories15m_moe() +# server.jinja = True +# server.n_predict = n_predict +# server.chat_template_file = f'../../../models/templates/{template_name}.jinja' +# server.start() +# do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED, temperature=0.0, top_k=1, top_p=1.0) -@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED]) -@pytest.mark.parametrize("template_name,tool,argument_key", [ - ("Qwen3-Coder", TEST_TOOL, "success"), - ("Qwen3-Coder", TEST_TOOL, "success"), - ("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"), - ("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"), - ("meta-llama-Llama-3.3-70B-Instruct", PYTHON_TOOL, "code"), - ("meta-llama-Llama-3.3-70B-Instruct", PYTHON_TOOL, "code"), -]) -def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode): - global server - n_predict = 1024 - # server = ServerPreset.stories15m_moe() - server.jinja = True - server.n_predict = n_predict - server.chat_template_file = f'../../../models/templates/{template_name}.jinja' - server.start() - do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED, temperature=0.0, top_k=1, top_p=1.0) +# @pytest.mark.slow +# @pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED]) +# @pytest.mark.parametrize("template_name,tool,argument_key", [ +# ("meta-llama-Llama-3.1-8B-Instruct", TEST_TOOL, "success"), +# ("meta-llama-Llama-3.1-8B-Instruct", PYTHON_TOOL, "code"), +# ("meetkai-functionary-medium-v3.1", TEST_TOOL, "success"), +# ("meetkai-functionary-medium-v3.1", PYTHON_TOOL, "code"), -@pytest.mark.slow -@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED]) -@pytest.mark.parametrize("template_name,tool,argument_key", [ - ("meta-llama-Llama-3.1-8B-Instruct", TEST_TOOL, "success"), - ("meta-llama-Llama-3.1-8B-Instruct", PYTHON_TOOL, "code"), +# ("meetkai-functionary-medium-v3.2", TEST_TOOL, "success"), +# # Functionary v3.2 format supports raw python content, which w/ a dummy stories model will never end on its own. +# # ("meetkai-functionary-medium-v3.2", PYTHON_TOOL, "code"), - ("meetkai-functionary-medium-v3.1", TEST_TOOL, "success"), - ("meetkai-functionary-medium-v3.1", PYTHON_TOOL, "code"), +# ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL, "success"), +# ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL, "code"), - ("meetkai-functionary-medium-v3.2", TEST_TOOL, "success"), - # Functionary v3.2 format supports raw python content, which w/ a dummy stories model will never end on its own. - # ("meetkai-functionary-medium-v3.2", PYTHON_TOOL, "code"), +# ("meta-llama-Llama-3.2-3B-Instruct", TEST_TOOL, "success"), +# ("meta-llama-Llama-3.2-3B-Instruct", PYTHON_TOOL, "code"), - ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL, "success"), - ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL, "code"), +# ("mistralai-Mistral-Nemo-Instruct-2407", TEST_TOOL, "success"), +# ("mistralai-Mistral-Nemo-Instruct-2407", PYTHON_TOOL, "code"), - ("meta-llama-Llama-3.2-3B-Instruct", TEST_TOOL, "success"), - ("meta-llama-Llama-3.2-3B-Instruct", PYTHON_TOOL, "code"), +# ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", TEST_TOOL, "success"), +# ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", PYTHON_TOOL, "code"), - ("mistralai-Mistral-Nemo-Instruct-2407", TEST_TOOL, "success"), - ("mistralai-Mistral-Nemo-Instruct-2407", PYTHON_TOOL, "code"), +# ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", TEST_TOOL, "success"), +# ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", PYTHON_TOOL, "code"), - ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", TEST_TOOL, "success"), - ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use", PYTHON_TOOL, "code"), +# ("fireworks-ai-llama-3-firefunction-v2", TEST_TOOL, "success"), +# # ("fireworks-ai-llama-3-firefunction-v2", PYTHON_TOOL, "codeFalse), True), +# # ("fireworks-ai-llama-3-firefunction-v2", PYTHON_TOOL, "code"), - ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", TEST_TOOL, "success"), - ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B", PYTHON_TOOL, "code"), - - ("fireworks-ai-llama-3-firefunction-v2", TEST_TOOL, "success"), - # ("fireworks-ai-llama-3-firefunction-v2", PYTHON_TOOL, "codeFalse), True), - # ("fireworks-ai-llama-3-firefunction-v2", PYTHON_TOOL, "code"), - -]) -def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode): - global server - n_predict = 512 - # server = ServerPreset.stories15m_moe() - server.jinja = True - server.n_predict = n_predict - server.chat_template_file = f'../../../models/templates/{template_name}.jinja' - server.start(timeout_seconds=TIMEOUT_START_SLOW) - do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED) +# ]) +# def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode): +# global server +# n_predict = 512 +# # server = ServerPreset.stories15m_moe() +# server.jinja = True +# server.n_predict = n_predict +# server.chat_template_file = f'../../../models/templates/{template_name}.jinja' +# server.start(timeout_seconds=TIMEOUT_START_SLOW) +# do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED) @pytest.mark.slow diff --git a/tools/server/tests/utils.py b/tools/server/tests/utils.py index 88700487be..c5dba1c139 100644 --- a/tools/server/tests/utils.py +++ b/tools/server/tests/utils.py @@ -5,6 +5,8 @@ import subprocess import os + +TMP_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "tmp") import re import json from json import JSONDecodeError @@ -86,6 +88,7 @@ class ServerProcess: api_key: str | None = None models_dir: str | None = None models_max: int | None = None + models_preset: str | None = None no_models_autoload: bool | None = None lora_files: List[str] | None = None enable_ctx_shift: int | None = False @@ -105,6 +108,8 @@ class ServerProcess: no_cache_idle_slots: bool = False log_path: str | None = None webui_mcp_proxy: bool = False + backend_sampling: bool = False + gcp_compat: bool = False # session variables process: subprocess.Popen | None = None @@ -119,6 +124,9 @@ class ServerProcess: self.external_server = "DEBUG_EXTERNAL" in os.environ def start(self, timeout_seconds: int = DEFAULT_HTTP_TIMEOUT) -> None: + env = {**os.environ} + if "LLAMA_CACHE" not in os.environ: + env["LLAMA_CACHE"] = "tmp" if self.external_server: print(f"[external_server]: Assuming external server running on {self.server_host}:{self.server_port}") return @@ -156,6 +164,8 @@ class ServerProcess: server_args.extend(["--models-dir", self.models_dir]) if self.models_max is not None: server_args.extend(["--models-max", self.models_max]) + if self.models_preset: + server_args.extend(["--models-preset", self.models_preset]) if self.n_batch: server_args.extend(["--batch-size", self.n_batch]) if self.n_ubatch: @@ -243,6 +253,10 @@ class ServerProcess: server_args.append("--no-cache-idle-slots") if self.webui_mcp_proxy: server_args.append("--webui-mcp-proxy") + if self.backend_sampling: + server_args.append("--backend_sampling") + if self.gcp_compat: + env["AIP_MODE"] = "PREDICTION" args = [str(arg) for arg in [server_path, *server_args]] print(f"tests: starting server with: {' '.join(args)}") @@ -263,7 +277,7 @@ class ServerProcess: creationflags=flags, stdout=self._log, stderr=self._log if self._log != sys.stdout else sys.stdout, - env={**os.environ, "LLAMA_CACHE": "tmp"} if "LLAMA_CACHE" not in os.environ else None, + env=env, ) server_instances.add(self) diff --git a/tools/server/webui/.storybook/ModeWatcherDecorator.svelte b/tools/server/webui/.storybook/decorators/ModeWatcherDecorator.svelte similarity index 100% rename from tools/server/webui/.storybook/ModeWatcherDecorator.svelte rename to tools/server/webui/.storybook/decorators/ModeWatcherDecorator.svelte diff --git a/tools/server/webui/.storybook/TooltipProviderDecorator.svelte b/tools/server/webui/.storybook/decorators/TooltipProviderDecorator.svelte similarity index 72% rename from tools/server/webui/.storybook/TooltipProviderDecorator.svelte rename to tools/server/webui/.storybook/decorators/TooltipProviderDecorator.svelte index 9aad1eaa4a..ba0cabc561 100644 --- a/tools/server/webui/.storybook/TooltipProviderDecorator.svelte +++ b/tools/server/webui/.storybook/decorators/TooltipProviderDecorator.svelte @@ -1,5 +1,5 @@ @@ -37,13 +39,18 @@ {variant} {size} {disabled} - {onclick} + onclick={(e: MouseEvent) => { + if (stopPropagationOnClick) e.stopPropagation(); + + onclick?.(e); + }} class="h-6 w-6 p-0 {className} flex hover:bg-transparent data-[state=open]:bg-transparent!" aria-label={ariaLabel || tooltip} > - {@const IconComponent = icon} - - + {#if icon} + {@const IconComponent = icon} + + {/if} diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte index bf6cd4fb28..999f0cba9e 100644 --- a/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte +++ b/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte @@ -1,18 +1,17 @@ - canCopy && copyToClipboard(text)} /> diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte deleted file mode 100644 index 11f1c17d98..0000000000 --- a/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte +++ /dev/null @@ -1,27 +0,0 @@ - - - diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte deleted file mode 100644 index b20e79b5e0..0000000000 --- a/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte +++ /dev/null @@ -1,46 +0,0 @@ - - -
          -
          - -
          - - {#if showPreview} - - {/if} -
          diff --git a/tools/server/webui/src/lib/components/app/actions/index.ts b/tools/server/webui/src/lib/components/app/actions/index.ts index 43485c7b7e..4bb2a58d66 100644 --- a/tools/server/webui/src/lib/components/app/actions/index.ts +++ b/tools/server/webui/src/lib/components/app/actions/index.ts @@ -9,11 +9,5 @@ /** Styled icon button for action triggers with tooltip. */ export { default as ActionIcon } from './ActionIcon.svelte'; -/** Code block actions component (copy, preview). */ -export { default as ActionIconsCodeBlock } from './ActionIconsCodeBlock.svelte'; - -/** Copy-to-clipboard icon button with click handler. */ +/** Copy-to-clipboard icon button with clipboard logic. */ export { default as ActionIconCopyToClipboard } from './ActionIconCopyToClipboard.svelte'; - -/** Remove/delete icon button with X icon. */ -export { default as ActionIconRemove } from './ActionIconRemove.svelte'; diff --git a/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte b/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte index c70af6f423..25986082be 100644 --- a/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte +++ b/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte @@ -1,5 +1,4 @@ - - -
          - {/if} -
          - -
          - {#if isImage && displayPreview} -
          - {displayName} -
          - {:else if isPdf && pdfViewMode === 'pages'} - {#if !hasVisionModality && activeModelId} - - - Preview only - - - The selected model does not support vision. Only the extracted - - - (pdfViewMode = 'text')}> - text - - will be sent to the model. - - - - {/if} - - {#if pdfImagesLoading} -
          -
          -
          - -

          Converting PDF to images...

          -
          -
          - {:else if pdfImagesError} -
          -
          - - -

          Failed to load PDF images

          - -

          {pdfImagesError}

          - - -
          -
          - {:else if pdfImages.length > 0} -
          - {#each pdfImages as image, index (image)} -
          -

          Page {index + 1}

          - - PDF Page {index + 1} -
          - {/each} -
          - {:else} -
          -
          - - -

          No PDF pages available

          -
          -
          - {/if} - {:else if (isText || (isPdf && pdfViewMode === 'text')) && displayTextContent} - - {:else if isAudio} -
          -
          - - - {#if uploadedFile?.preview} - - {:else if isAudio && attachment && 'mimeType' in attachment && 'base64Data' in attachment} - - {:else} -

          Audio preview not available

          - {/if} - -

          - {displayName} -

          -
          -
          - {:else} -
          -
          - {#if IconComponent} - - {/if} - -

          Preview not available for this file type

          -
          -
          - {/if} -
          -
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte deleted file mode 100644 index 9d32ea0721..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte +++ /dev/null @@ -1,165 +0,0 @@ - - -{#if isText} - {#if readonly} - - - {:else} - - - {/if} -{:else} - -{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte deleted file mode 100644 index a3d37b42a3..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte +++ /dev/null @@ -1,287 +0,0 @@ - - -{#if displayItems.length > 0} -
          - {#if limitToSingleRow} - (isScrollable = scrollable)} - > - {#each displayItems as item (item.id)} - {#if item.isMcpPrompt} - {@const mcpPrompt = - item.attachment?.type === AttachmentType.MCP_PROMPT - ? (item.attachment as DatabaseMessageExtraMcpPrompt) - : item.uploadedFile?.mcpPrompt - ? { - type: AttachmentType.MCP_PROMPT as const, - name: item.name, - serverName: item.uploadedFile.mcpPrompt.serverName, - promptName: item.uploadedFile.mcpPrompt.promptName, - content: item.textContent ?? '', - arguments: item.uploadedFile.mcpPrompt.arguments - } - : null} - {#if mcpPrompt} - onFileRemove(item.id) : undefined} - /> - {/if} - {:else if item.isMcpResource && item.attachment?.type === AttachmentType.MCP_RESOURCE} - {@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource} - - openMcpResourcePreview(mcpResource)} - /> - {:else if item.isImage && item.preview} - openPreview(item, event)} - /> - {:else} - openPreview(item, event)} - /> - {/if} - {/each} - - - {#if showViewAll} -
          - -
          - {/if} - {:else} -
          - {#each displayItems as item (item.id)} - {#if item.isMcpPrompt} - {@const mcpPrompt = - item.attachment?.type === AttachmentType.MCP_PROMPT - ? (item.attachment as DatabaseMessageExtraMcpPrompt) - : item.uploadedFile?.mcpPrompt - ? { - type: AttachmentType.MCP_PROMPT as const, - name: item.name, - serverName: item.uploadedFile.mcpPrompt.serverName, - promptName: item.uploadedFile.mcpPrompt.promptName, - content: item.textContent ?? '', - arguments: item.uploadedFile.mcpPrompt.arguments - } - : null} - - {#if mcpPrompt} - onFileRemove(item.id) : undefined} - /> - {/if} - {:else if item.isMcpResource && item.attachment?.type === AttachmentType.MCP_RESOURCE} - {@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource} - - openMcpResourcePreview(mcpResource)} - /> - {:else if item.isImage && item.preview} - openPreview(item, event)} - /> - {:else} - openPreview(item, event)} - /> - {/if} - {/each} -
          - {/if} -
          -{/if} - -{#if previewItem} - -{/if} - - - -{#if mcpResourcePreviewExtra} - -{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte new file mode 100644 index 0000000000..e74bd8456a --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte @@ -0,0 +1,119 @@ + + +{#snippet attachmentitem(item: ChatAttachmentDisplayItem)} + openPreview(i, event)} + {readonly} + /> +{/snippet} + +{#if displayItems.length > 0} +
          + {#if limitToSingleRow} + + {#each displayItems as item (item.id)} + {@render attachmentitem(item)} + {/each} + + {:else} +
          + {#each displayItems as item (item.id)} + {@render attachmentitem(item)} + {/each} +
          + {/if} +
          +{/if} + + + +{#if mcpResourcePreviewExtra} + +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte new file mode 100644 index 0000000000..143621cd9d --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte @@ -0,0 +1,132 @@ + + +{#if isMcpPrompt(item)} + {@const mcpPrompt = + item.attachment?.type === AttachmentType.MCP_PROMPT + ? (item.attachment as DatabaseMessageExtraMcpPrompt) + : item.uploadedFile?.mcpPrompt + ? { + type: AttachmentType.MCP_PROMPT as const, + name: item.name, + serverName: item.uploadedFile.mcpPrompt.serverName, + promptName: item.uploadedFile.mcpPrompt.promptName, + content: item.textContent ?? '', + arguments: item.uploadedFile.mcpPrompt.arguments + } + : null} + {#if mcpPrompt} + onFileRemove(item.id) : undefined} + /> + {/if} +{:else if isMcpResource(item)} + {@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource} + + onMcpResourcePreview?.(mcpResource)} + /> +{:else if item.isImage && item.preview} + onPreview?.(item)} + /> +{:else if isPdfFile(item.attachment, item.uploadedFile)} + onPreview?.(item)} + /> +{:else} + onPreview?.(item)} + /> +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte similarity index 75% rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte index 5fba2b3d19..636e93f221 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte @@ -1,40 +1,41 @@
          {#if !readonly && onRemove}
          - onRemove?.()} /> + onRemove?.()} />
          {/if}
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte similarity index 81% rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte index 258fcac80e..6e1f639fa2 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte @@ -1,46 +1,47 @@ @@ -69,12 +72,12 @@
          {#if favicon} { (e.currentTarget as HTMLImageElement).style.display = 'none'; }} + src={favicon} /> {/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte new file mode 100644 index 0000000000..3eeace42f1 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte @@ -0,0 +1,174 @@ + + +{#snippet textPreview(content: string)} +
          +
          + {getPreviewText(content)} +
          + + {#if content.length > 150} +
          + {/if} +
          +{/snippet} + +{#snippet removeButton()} +
          + onRemove?.(id)} /> +
          +{/snippet} + +{#snippet fileIcon()} +
          + {fileTypeLabel} +
          +{/snippet} + +{#snippet info(text: string | undefined)} + {#if text} + {text} + {/if} +{/snippet} + +{#if isTextWithContent || isPdfWithContent} + +{:else} + +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte similarity index 61% rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte index d0419db30c..b78a659161 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte @@ -1,64 +1,65 @@ +{#snippet image()} + {name} +{/snippet} +
          - {#if onClick} + {#if onclick} {:else} - {name} + {@render image()} {/if} {#if !readonly}
          - + onRemove?.(id)} + stopPropagationOnClick + tooltip="Remove" + />
          {/if}
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview.svelte new file mode 100644 index 0000000000..ca81e54432 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview.svelte @@ -0,0 +1,190 @@ + + +
          +
          + 1} /> + +
          + {#if currentItem} + + + + {/if} + + +
          +
          +
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte new file mode 100644 index 0000000000..3451c89d3a --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte @@ -0,0 +1,65 @@ + + +{#if currentItem} + {#key currentItem.id} + {#if isPdf} + + {:else if isImage} + + {:else if isText && displayTextContent} + + {:else if isAudio} + + {:else if isUnavailable} + + {/if} + {/key} +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemAudio.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemAudio.svelte new file mode 100644 index 0000000000..06e1f5928c --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemAudio.svelte @@ -0,0 +1,26 @@ + + +
          +
          + + + {#if audioSrc} + + {:else} +

          Audio preview not available

          + {/if} + +

          {currentItem?.name || 'Audio'}

          +
          +
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemImage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemImage.svelte new file mode 100644 index 0000000000..070ff82301 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemImage.svelte @@ -0,0 +1,18 @@ + + +{#if displayPreview} +
          + {currentItem?.name +
          +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemPdf.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemPdf.svelte new file mode 100644 index 0000000000..750532a626 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemPdf.svelte @@ -0,0 +1,174 @@ + + +
          + + + +
          + +{#if !hasVisionModality && activeModelId && currentItem} + + + Preview only + + + The selected model does not support vision. Only the extracted + + + (pdfViewMode = PdfViewMode.TEXT)} + > + text + + will be sent to the model. + + + +{/if} + +{#if pdfImagesLoading} +
          +
          +
          +

          Converting PDF to images...

          +
          +
          +{:else if pdfImagesError} +
          +
          + +

          Failed to load PDF images

          +

          {pdfImagesError}

          +
          +
          +{:else if pdfImages.length > 0} + {#each pdfImages as image, index (image)} +

          Page {index + 1}

          + PDF Page {index + 1} +
          + {/each} +{:else} +
          +
          + +

          No PDF pages available

          +
          +
          +{/if} + +{#if pdfViewMode === PdfViewMode.TEXT && displayTextContent} +
          + +
          +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemText.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemText.svelte new file mode 100644 index 0000000000..5977523acc --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemText.svelte @@ -0,0 +1,21 @@ + + +{#if displayTextContent} +
          + +
          +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemUnavailable.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemUnavailable.svelte new file mode 100644 index 0000000000..d3002a9391 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemUnavailable.svelte @@ -0,0 +1,17 @@ + + +
          +
          + + +

          Preview not available for this file type

          +
          +
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte new file mode 100644 index 0000000000..d27d54a4ba --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte @@ -0,0 +1,16 @@ + + +
          +

          {displayName}

          + + {#if fileSize} +

          {fileSize}

          + {/if} +
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte new file mode 100644 index 0000000000..a57e3145a9 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte @@ -0,0 +1,34 @@ + + +{#if show} + + + +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte new file mode 100644 index 0000000000..4c3bd78076 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte @@ -0,0 +1,63 @@ + + +{#if items.length > 1} +
          + + {#each items as item, index (item.id)} + + {/each} + +
          +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsViewAll.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsViewAll.svelte deleted file mode 100644 index 279b2e2227..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsViewAll.svelte +++ /dev/null @@ -1,117 +0,0 @@ - - -
          -
          - {#if fileItems.length > 0} -
          -

          Files ({fileItems.length})

          -
          - {#each fileItems as item (item.id)} - openPreview(item, event)} - /> - {/each} -
          -
          - {/if} - - {#if imageItems.length > 0} -
          -

          Images ({imageItems.length})

          -
          - {#each imageItems as item (item.id)} - {#if item.preview} - openPreview(item, event)} - /> - {/if} - {/each} -
          -
          - {/if} -
          -
          - -{#if previewItem} - -{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte index 04ef079002..46ac823349 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte @@ -1,14 +1,13 @@ + + + + + + + +

          {ATTACHMENT_TOOLTIP_TEXT}

          +           +           diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsDropdown.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddDropdown.svelte similarity index 85% rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsDropdown.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddDropdown.svelte index 9c3d2b8de5..175eb3c8c7 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsDropdown.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddDropdown.svelte @@ -1,17 +1,18 @@ + + + + + + + MCP Servers + + + + {#if hasMcpServers} + +
          + {#each filteredMcpServers as server (server.id)} + {@const healthState = mcpStore.getHealthCheckState(server.id)} + {@const hasError = healthState.status === HealthCheckStatus.ERROR} + {@const isEnabledForChat = isServerEnabledForChat(server.id)} + {@const displayName = getServerLabel(server)} + {@const faviconUrl = mcpStore.getServerFavicon(server.id)} + + + {/each} +
          + + {#snippet footer()} + + + + Manage MCP Servers + + {/snippet} +           + {:else} +
          + No MCP servers configured +
          + + + + + + + Add MCP Servers + + {/if} +           +           +           diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsSheet.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddSheet.svelte similarity index 83% rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsSheet.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddSheet.svelte index f7115b8171..99daa10e3e 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsSheet.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddSheet.svelte @@ -1,18 +1,19 @@
          - + {@render trigger({ disabled, onclick: () => (sheetOpen = true) })} + @@ -161,9 +148,20 @@
          - + + - + MCP Servers + + + + + + Tools + {#each ATTACHMENT_MCP_ITEMS as item (item.id)} {#if attachmentMenu.isItemVisible(item.visibleWhen)} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionToolsSubmenu.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte similarity index 94% rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionToolsSubmenu.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte index 3188e8bda4..ccc35d98f8 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionToolsSubmenu.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte @@ -24,6 +24,7 @@ {#if toolsStore.loading}
          + Loading tools...
          {:else if toolsStore.isToolsEndpointUnreachable} @@ -31,19 +32,21 @@ - Run llama-server with --tools flag to enable - Built-in Tools. + + Run llama-server with --tools flag to enable + + Built-in Tools. + - {hasMcpServersAvailable ? 'Enable' : 'Add'} MCP Server(s) to access - MCP Tools. + + {hasMcpServersAvailable ? 'Enable' : 'Add'} MCP Server(s) to access + + MCP Tools. +
          {:else if toolsStore.error} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte new file mode 100644 index 0000000000..8cfd7d809d --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte @@ -0,0 +1,68 @@ + + +{#if isMobile.current} + + {#snippet trigger({ disabled, onclick })} + + {/snippet} + +{:else} + + {#snippet trigger()} + + {/snippet} + +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionMcpServersSubmenu.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionMcpServersSubmenu.svelte deleted file mode 100644 index ee788a0884..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionMcpServersSubmenu.svelte +++ /dev/null @@ -1,147 +0,0 @@ - - - - - - - MCP Servers - - - - {#if hasMcpServers} - -
          - {#each filteredMcpServers as server (server.id)} - {@const healthState = mcpStore.getHealthCheckState(server.id)} - {@const hasError = healthState.status === HealthCheckStatus.ERROR} - {@const isEnabledForChat = isServerEnabledForChat(server.id)} - - - {/each} -
          - - {#snippet footer()} - - - - Manage MCP Servers - - {/snippet} -           - {:else} -
          - No MCP servers configured -
          - - - - - - - Add MCP Servers - - {/if} -           -           diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionModels.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionModels.svelte new file mode 100644 index 0000000000..bdd84a4813 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionModels.svelte @@ -0,0 +1,160 @@ + + +{#if isMobile.current} + +{:else} + +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte index 878536c3da..8774bf63a6 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte @@ -2,7 +2,6 @@ import { ArrowUp } from '@lucide/svelte'; import { Button } from '$lib/components/ui/button'; import * as Tooltip from '$lib/components/ui/tooltip'; - import { cn } from '$lib/components/ui/utils'; interface Props { canSend?: boolean; @@ -20,12 +19,11 @@
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte index d758822f3c..395ecb2011 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte @@ -15,6 +15,7 @@ function handleFileSelect(event: Event) { const input = event.target as HTMLInputElement; + if (input.files) { onFileSelect?.(Array.from(input.files)); } diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte deleted file mode 100644 index 6e7c755ed2..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte +++ /dev/null @@ -1,31 +0,0 @@ - - -{#if show} - -{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormMcpResourcesList.svelte similarity index 81% rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormMcpResourcesList.svelte index 341bf32c05..36c82224a6 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormMcpResourcesList.svelte @@ -4,7 +4,10 @@ mcpResourceAttachments, mcpHasResourceAttachments } from '$lib/stores/mcp-resources.svelte'; - import { ChatAttachmentMcpResource, HorizontalScrollCarousel } from '$lib/components/app'; + import { + ChatAttachmentsListItemMcpResource, + HorizontalScrollCarousel + } from '$lib/components/app'; interface Props { class?: string; @@ -29,11 +32,11 @@
          {#each attachments as attachment, i (attachment.id)} - handleResourceClick(attachment.resource.uri)} + onclick={() => handleResourceClick(attachment.resource.uri)} /> {/each} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerItemHeader.svelte similarity index 100% rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerItemHeader.svelte diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte similarity index 96% rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte index 1a95cd7f6d..6647928b2b 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte @@ -60,8 +60,7 @@
          {#if isLoading} {#if skeleton} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte similarity index 79% rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte index d232d66c1f..4d82c6b584 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte @@ -3,18 +3,18 @@ interface Props { isSelected?: boolean; - onClick: () => void; + onclick: () => void; dataIndex?: number; children: Snippet; } - let { isSelected = false, onClick, dataIndex, children }: Props = $props(); + let { isSelected = false, onclick, dataIndex, children }: Props = $props(); - - -
          -
          - + {:else if message.role === MessageRole.ASSISTANT} {#if showRawOutput} 
          {rawOutputContent || ''}
          @@ -388,7 +318,7 @@ {#if message.timestamp && !editCtx.isEditing} - import { - ChatMessageActions, + ChatMessageActionIcons, ChatMessageEditForm, ChatMessageMcpPromptContent } from '$lib/components/app'; @@ -63,7 +63,7 @@ {#if message.timestamp}
          - import { Check, X } from '@lucide/svelte'; - import { Card } from '$lib/components/ui/card'; + import { ChatMessageActionIcons, MarkdownContent } from '$lib/components/app'; import { Button } from '$lib/components/ui/button'; - import { MarkdownContent } from '$lib/components/app'; - import { getMessageEditContext } from '$lib/contexts'; + import { Card } from '$lib/components/ui/card'; import { INPUT_CLASSES } from '$lib/constants'; + import { getMessageEditContext } from '$lib/contexts'; + import { KeyboardKey, MessageRole } from '$lib/enums'; import { config } from '$lib/stores/settings.svelte'; import { isIMEComposing } from '$lib/utils'; - import ChatMessageActions from './ChatMessageActions.svelte'; - import { KeyboardKey, MessageRole } from '$lib/enums'; interface Props { class?: string; @@ -213,7 +212,7 @@ {#if message.timestamp}
          - + import { + ChatMessageActionIcons, + ChatMessageEditForm, + ChatMessageUserBubble + } from '$lib/components/app/chat'; import { getMessageEditContext } from '$lib/contexts'; - import ChatMessageActions from './ChatMessageActions.svelte'; - import ChatMessageEditForm from './ChatMessageEditForm.svelte'; import { MessageRole } from '$lib/enums'; - import ChatMessageUserBubble from './ChatMessageUserBubble.svelte'; interface Props { class?: string; @@ -60,7 +62,7 @@ {#if message.timestamp}
          - - import { ActionIcon } from '$lib/components/app'; - import ChatMessageEditForm from './ChatMessageEditForm.svelte'; + import { ActionIcon, ChatMessageEditForm, ChatMessageUserBubble } from '$lib/components/app'; import { fadeInView } from '$lib/actions/fade-in-view.svelte'; import { ArrowUp, Edit, Trash2 } from '@lucide/svelte'; import { getProcessingInfoContext } from '$lib/contexts'; import { useMessageEditContext } from '$lib/hooks/use-message-edit-context.svelte'; - import ChatMessageUserBubble from './ChatMessageUserBubble.svelte'; interface Props { class?: string; diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActionCard.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte similarity index 76% rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActionCard.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte index bccfa9351f..254031979d 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActionCard.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte @@ -7,12 +7,12 @@ actions: Snippet; } - let { icon: Icon, message, actions }: Props = $props(); + let { icon: IconComponent, message, actions }: Props = $props();
          - + {@render message()} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageContinueRequest.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardContinueRequest.svelte similarity index 100% rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageContinueRequest.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardContinueRequest.svelte diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessagePermissionRequest.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte similarity index 97% rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessagePermissionRequest.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte index a8fbdd29a9..e466c84ee2 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessagePermissionRequest.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte @@ -1,12 +1,12 @@ + +{#if siblingInfo && siblingInfo.totalSiblings > 1} + +{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte index 998637885b..e9b77ba2f4 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte @@ -5,8 +5,8 @@ CollapsibleContentBlock, MarkdownContent, SyntaxHighlightedCode, - ChatMessagePermissionRequest, - ChatMessageContinueRequest + ChatMessageActionCardPermissionRequest, + ChatMessageActionCardContinueRequest } from '$lib/components/app'; import { @@ -359,7 +359,7 @@ {/if} {#if pendingPermission && !permissionDismissed} - + {/if}
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageBranchingControls.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageBranchingControls.svelte deleted file mode 100644 index 7420bb1994..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageBranchingControls.svelte +++ /dev/null @@ -1,84 +0,0 @@ - - -{#if siblingInfo && siblingInfo.totalSiblings > 1} - -{/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte index 1985ae38e7..962f2a2853 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte @@ -4,15 +4,18 @@ import { Switch } from '$lib/components/ui/switch'; import { ChatForm, DialogConfirmation } from '$lib/components/app'; import { getMessageEditContext } from '$lib/contexts'; - import { KeyboardKey } from '$lib/enums'; + import { KeyboardKey, MessageRole } from '$lib/enums'; import { chatStore } from '$lib/stores/chat.svelte'; import { processFilesToChatUploaded } from '$lib/utils/browser-only'; const editCtx = getMessageEditContext(); - let inputAreaRef: ChatForm | undefined = $state(undefined); let saveWithoutRegenerate = $state(false); let showDiscardDialog = $state(false); + let branchAfterEdit = $state(false); + + let isUserMessage = $derived(editCtx.messageRole === MessageRole.USER); + let isAssistantMessage = $derived(editCtx.messageRole === MessageRole.ASSISTANT); let hasUnsavedChanges = $derived.by(() => { if (editCtx.editedContent !== editCtx.originalContent) return true; @@ -52,13 +55,18 @@ function handleSubmit() { if (!canSubmit) return; - if (saveWithoutRegenerate && editCtx.showSaveOnlyOption) { + if (isUserMessage && saveWithoutRegenerate && editCtx.showSaveOnlyOption) { editCtx.saveOnly(); } else { + if (isAssistantMessage && editCtx.setShouldBranchAfterEdit) { + editCtx.setShouldBranchAfterEdit(branchAfterEdit); + } + editCtx.save(); } saveWithoutRegenerate = false; + branchAfterEdit = false; } function handleAttachmentRemove(index: number) { @@ -77,10 +85,6 @@ editCtx.setUploadedFiles([...editCtx.editedUploadedFiles, ...processed]); } - function handleUploadedFilesChange(files: ChatUploadedFile[]) { - editCtx.setUploadedFiles(files); - } - $effect(() => { chatStore.setEditModeActive(handleFilesAdd); @@ -94,23 +98,23 @@
          - {#if editCtx.showSaveOnlyOption} + {#if isUserMessage && editCtx.showSaveOnlyOption}
          @@ -118,6 +122,14 @@ Update without re-sending
          + {:else if isAssistantMessage} +
          + + + +
          {:else}
          {/if} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte similarity index 94% rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte index 945dec9c5e..34362e026f 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte @@ -1,6 +1,6 @@ -{#each displayMessages as { message, toolMessages, isLastAssistantMessage, siblingInfo } (message.id)} - -{/each} - -{#if activeConversation() && agenticPendingSteeringMessageContent(activeConversation()!.id)} - {@const convId = activeConversation()!.id} - {@const pendingContent = agenticPendingSteeringMessageContent(convId)} - - {#if pendingContent} - + {#each displayMessages as { message, toolMessages, isLastAssistantMessage, siblingInfo } (message.id)} + chatStore.abortCurrentFlow(convId)} - onEdit={(newContent, extras) => agenticInjectSteeringMessage(convId, newContent, extras)} - onDelete={() => agenticClearSteeringMessage(convId)} + {message} + {toolMessages} + {isLastAssistantMessage} + {siblingInfo} /> - {/if} -{:else if activeConversation() && chatPendingMessageContent(activeConversation()!.id)} - {@const convId = activeConversation()!.id} - {@const pendingContent = chatPendingMessageContent(convId)} + {/each} - {#if pendingContent} - chatStore.abortCurrentFlow(convId)} - onEdit={(newContent, extras) => chatInjectPendingMessage(convId, newContent, extras)} - onDelete={() => chatClearPendingMessage(convId)} - /> + {#if activeConversation() && agenticPendingSteeringMessageContent(activeConversation()!.id)} + {@const convId = activeConversation()!.id} + {@const pendingContent = agenticPendingSteeringMessageContent(convId)} + + {#if pendingContent} + chatStore.abortCurrentFlow(convId)} + onEdit={(newContent, extras) => agenticInjectSteeringMessage(convId, newContent, extras)} + onDelete={() => agenticClearSteeringMessage(convId)} + /> + {/if} + {:else if activeConversation() && chatPendingMessageContent(activeConversation()!.id)} + {@const convId = activeConversation()!.id} + {@const pendingContent = chatPendingMessageContent(convId)} + + {#if pendingContent} + chatStore.abortCurrentFlow(convId)} + onEdit={(newContent, extras) => chatInjectPendingMessage(convId, newContent, extras)} + onDelete={() => chatClearPendingMessage(convId)} + /> + {/if} {/if} -{/if} +
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte index ef5a049875..85ce536af2 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte +++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte @@ -1,16 +1,22 @@ -
          +
          {#each processingDetails as detail (detail)} {detail} diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte deleted file mode 100644 index da6810cb1d..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte +++ /dev/null @@ -1,558 +0,0 @@ - - -
          -
          - - - - -
          -
          - - -

          Settings

          -
          - -
          - -
          - - -
          -
          - {#each settingSections as section (section.title)} - - {/each} -
          -
          - - -
          -
          -
          - -
          -
          -
          - - - {#if currentSection.fields} -
          - -
          - {/if} -
          - -
          -

          Settings are saved in browser's localStorage

          -
          -
          - - -
          -
          -
          diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/handle-mobile-sidebar-item-click.ts b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/handle-mobile-sidebar-item-click.ts deleted file mode 100644 index 4b9b876574..0000000000 --- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/handle-mobile-sidebar-item-click.ts +++ /dev/null @@ -1,9 +0,0 @@ -import { useSidebar } from '$lib/components/ui/sidebar'; - -const sidebar = useSidebar(); - -export function handleMobileSidebarItemClick() { - if (sidebar.isMobile) { - sidebar.toggle(); - } -} diff --git a/tools/server/webui/src/lib/components/app/chat/index.ts b/tools/server/webui/src/lib/components/app/chat/index.ts index c22022ae47..5f65979803 100644 --- a/tools/server/webui/src/lib/components/app/chat/index.ts +++ b/tools/server/webui/src/lib/components/app/chat/index.ts @@ -22,7 +22,7 @@ * **Architecture:** * - Delegates rendering to specialized thumbnail components based on attachment type * - Manages scroll state and navigation arrows for horizontal overflow - * - Integrates with DialogChatAttachmentPreview for full-size viewing + * - Integrates with DialogChatAttachmentsPreview for full-size gallery/single viewing * - Validates vision modality support via `activeModelId` prop * * **Features:** @@ -49,55 +49,53 @@ * /> * ``` */ -export { default as ChatAttachmentsList } from './ChatAttachments/ChatAttachmentsList.svelte'; +export { default as ChatAttachmentsList } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte'; + +/** + * Renders a single attachment item based on its type (image, file, MCP prompt, or MCP resource). + * Delegates to specialized sub-components: ChatAttachmentsListItemThumbnailImage, ChatAttachmentsListItemThumbnailFile, + * ChatAttachmentsListItemMcpPrompt, or ChatAttachmentsListItemMcpResource. + */ +export { default as ChatAttachmentsListItem } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte'; /** * Displays MCP Prompt attachment with expandable content preview. * Shows server name, prompt name, and allows expanding to view full prompt arguments - * and content. Used when user selects a prompt from ChatFormPromptPicker. + * and content. Used when user selects a prompt from ChatFormPickerMcpPrompts. */ -export { default as ChatAttachmentMcpPrompt } from './ChatAttachments/ChatAttachmentMcpPrompt.svelte'; +export { default as ChatAttachmentsListItemMcpPrompt } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte'; /** * Displays a single MCP Resource attachment with icon, name, and server info. * Shows loading/error states and supports remove action. * Used within ChatAttachmentMcpResources for individual resource display. */ -export { default as ChatAttachmentMcpResource } from './ChatAttachments/ChatAttachmentMcpResource.svelte'; - -/** - * Full-size attachment preview component for dialog display. Handles different file types: - * images (full-size display), text files (syntax highlighted), PDFs (text extraction or image preview), - * audio (placeholder with download), and generic files (download option). - */ -export { default as ChatAttachmentPreview } from './ChatAttachments/ChatAttachmentPreview.svelte'; - -/** - * Displays MCP Resource attachments as a horizontal carousel. - * Shows resource name, URI, and allows clicking to view resource content. - */ -export { default as ChatAttachmentMcpResources } from './ChatAttachments/ChatAttachmentMcpResources.svelte'; +export { default as ChatAttachmentsListItemMcpResource } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte'; /** * Thumbnail for non-image file attachments. Displays file type icon based on extension, * file name (truncated), and file size. * Handles text files, PDFs, audio, and other document types. */ -export { default as ChatAttachmentThumbnailFile } from './ChatAttachments/ChatAttachmentThumbnailFile.svelte'; +export { default as ChatAttachmentsListItemThumbnailFile } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte'; /** * Thumbnail for image attachments with lazy loading and error fallback. * Displays image preview with configurable dimensions. Falls back to placeholder * on load error. */ -export { default as ChatAttachmentThumbnailImage } from './ChatAttachments/ChatAttachmentThumbnailImage.svelte'; +export { default as ChatAttachmentsListItemThumbnailImage } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte'; /** - * Grid view of all attachments for "View All" dialog. Displays all attachments - * in a responsive grid layout when there are too many to show inline. - * Triggered by "+X more" button in ChatAttachmentsList. + * Unified attachment preview component for dialog display. Shows a single file + * preview without carousel, or a gallery/carousel view when multiple items exist. + * Uses ChatAttachmentPreviewSingle internally for each item's content. */ -export { default as ChatAttachmentsViewAll } from './ChatAttachments/ChatAttachmentsViewAll.svelte'; +export { default as ChatAttachmentsPreview } from './ChatAttachments/ChatAttachmentsPreview.svelte'; +export { default as ChatAttachmentsPreviewNavButtons } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte'; +export { default as ChatAttachmentsPreviewFileInfo } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte'; +export { default as ChatAttachmentsPreviewThumbnailStrip } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte'; +export { default as ChatAttachmentsPreviewCurrentItem } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte'; /** * @@ -122,7 +120,7 @@ export { default as ChatAttachmentsViewAll } from './ChatAttachments/ChatAttachm * Used by ChatScreenForm and ChatMessageEditForm for both new conversations and message editing. * * **Architecture:** - * - Composes ChatFormTextarea, ChatFormActions, and ChatFormPromptPicker + * - Composes ChatFormTextarea, ChatFormActions, and ChatFormPickerMcpPrompts * - Manages file upload state via `uploadedFiles` bindable prop * - Integrates with ModelsSelectorDropdown for model selection in router mode * - Communicates with parent via callbacks (onSubmit, onFilesAdd, onStop, etc.) @@ -164,18 +162,12 @@ export { default as ChatAttachmentsViewAll } from './ChatAttachments/ChatAttachm export { default as ChatForm } from './ChatForm/ChatForm.svelte'; /** - * Dropdown button for file attachment selection. Opens a menu with options for - * Images, Text Files, and PDF Files. Each option filters the file picker to - * appropriate types. Images option is disabled when model lacks vision modality. + * Wrapper component for the "add to chat" button (Plus icon). + * Exposes a `button` snippet that can be used inside DropdownMenu.Trigger (desktop) + * or Sheet.Root (mobile) to maintain consistent styling while allowing + * platform-specific trigger wrappers. */ -export { default as ChatFormActionAttachmentsDropdown } from './ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsDropdown.svelte'; - -/** - * Mobile sheet variant of the file attachment selector. Renders a bottom sheet - * with the same options as ChatFormActionAttachmentsDropdown, optimized for - * touch interaction on mobile devices. - */ -export { default as ChatFormActionAttachmentsSheet } from './ChatForm/ChatFormActions/ChatFormActionsAttachments/ChatFormActionAttachmentsSheet.svelte'; +export { default as ChatFormActionsAdd } from './ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte'; /** * Audio recording button with real-time recording indicator. Records audio @@ -198,6 +190,13 @@ export { default as ChatFormActions } from './ChatForm/ChatFormActions/ChatFormA */ export { default as ChatFormActionSubmit } from './ChatForm/ChatFormActions/ChatFormActionSubmit.svelte'; +/** + * Model selector component for the chat form action bar. Renders either a dropdown + * (desktop) or bottom sheet (mobile) for selecting the conversation model in router mode. + * Exposes an `open` method for programmatically opening the selector. + */ +export { default as ChatFormActionModels } from './ChatForm/ChatFormActions/ChatFormActionModels.svelte'; + /** * Dropdown submenu for managing tool permissions in the chat form. * @@ -215,10 +214,10 @@ export { default as ChatFormActionSubmit } from './ChatForm/ChatFormActions/Chat * * @example * ```svelte - * + * * ``` */ -export { default as ChatFormActionToolsSubmenu } from './ChatForm/ChatFormActions/ChatFormActionToolsSubmenu.svelte'; +export { default as ChatFormActionAddToolsSubmenu } from './ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte'; /** * Dropdown submenu for managing MCP servers in the chat form. @@ -236,10 +235,10 @@ export { default as ChatFormActionToolsSubmenu } from './ChatForm/ChatFormAction * * @example * ```svelte - * + * * ``` */ -export { default as ChatFormActionMcpServersSubmenu } from './ChatForm/ChatFormActions/ChatFormActionMcpServersSubmenu.svelte'; +export { default as ChatFormActionAddMcpServersSubmenu } from './ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddMcpServersSubmenu.svelte'; /** * Hidden file input element for programmatic file selection. @@ -247,9 +246,10 @@ export { default as ChatFormActionMcpServersSubmenu } from './ChatForm/ChatFormA export { default as ChatFormFileInputInvisible } from './ChatForm/ChatFormFileInputInvisible.svelte'; /** - * Helper text display below chat. + * Displays MCP Resource attachments as a horizontal carousel. + * Shows resource name, URI, and allows clicking to view resource content. */ -export { default as ChatFormHelperText } from './ChatForm/ChatFormHelperText.svelte'; +export { default as ChatFormMcpResourcesList } from './ChatForm/ChatFormMcpResourcesList.svelte'; /** * Auto-resizing textarea with IME composition support. Automatically adjusts @@ -259,10 +259,10 @@ export { default as ChatFormHelperText } from './ChatForm/ChatFormHelperText.sve export { default as ChatFormTextarea } from './ChatForm/ChatFormTextarea.svelte'; /** - * **ChatFormPromptPicker** - MCP prompt selection interface + * **ChatFormPickerMcpPrompts** - MCP prompt selection interface * * Floating picker for browsing and selecting MCP Server Prompts. - * Triggered by typing `/` in the chat input or choosing `MCP Prompt` option in ChatFormActionAttachmentsDropdown. + * Triggered by typing `/` in the chat input or choosing `MCP Prompt` option in ChatFormActionAddDropdown. * Loads prompts from connected MCP servers and allows users to select and configure them. * * **Architecture:** @@ -290,7 +290,7 @@ export { default as ChatFormTextarea } from './ChatForm/ChatFormTextarea.svelte' * * @example * ```svelte - * * ``` */ -export { default as ChatFormPromptPicker } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte'; +export { default as ChatFormPickerMcpPrompts } from './ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPickerMcpPrompts.svelte'; /** * Form for entering MCP prompt arguments. Displays input fields for each * required argument defined by the prompt. Validates input and submits * when all required fields are filled. Shows argument descriptions as hints. */ -export { default as ChatFormPromptPickerArgumentForm } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte'; +export { default as ChatFormPromptPickerArgumentForm } from './ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentForm.svelte'; /** * Single argument input field with autocomplete suggestions. Fetches suggestions * from MCP server based on argument type. Supports keyboard navigation through * suggestions list. Used within ChatFormPromptPickerArgumentForm. */ -export { default as ChatFormPromptPickerArgumentInput } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte'; +export { default as ChatFormPromptPickerArgumentInput } from './ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentInput.svelte'; /** * Shared popover wrapper for inline picker popovers (prompts, resources). * Provides consistent positioning, styling, and open/close behavior. */ -export { default as ChatFormPickerPopover } from './ChatForm/ChatFormPickerPopover.svelte'; +export { default as ChatFormPickerPopover } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerPopover.svelte'; /** * Generic scrollable list for picker popovers. Provides search input, * scroll-into-view for keyboard navigation, loading skeletons, empty state, * and optional footer. Uses Svelte 5 snippets for item/skeleton/footer rendering. - * Shared by ChatFormPromptPicker and ChatFormResourcePicker. + * Shared by ChatFormPickerMcpPrompts and ChatFormPickerMcpResources. */ -export { default as ChatFormPickerList } from './ChatForm/ChatFormPicker/ChatFormPickerList.svelte'; +export { default as ChatFormPickerList } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte'; /** * Generic button wrapper for picker list items. Provides consistent styling, * hover/selected states, and data-picker-index attribute for scroll-into-view. - * Shared by ChatFormPromptPicker and ChatFormResourcePicker. + * Shared by ChatFormPickerMcpPrompts and ChatFormPickerMcpResources. */ -export { default as ChatFormPickerListItem } from './ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte'; +export { default as ChatFormPickerListItem } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte'; /** * Generic header for picker items displaying server favicon, label, item title, * and optional description. Accepts `titleExtra` and `subtitle` snippets for * custom content like badges or URIs. Shared by both pickers. */ -export { default as ChatFormPickerItemHeader } from './ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte'; +export { default as ChatFormPickerItemHeader } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerItemHeader.svelte'; /** * Generic skeleton loading placeholder for picker list items. Configurable * title width and optional badge skeleton. Shared by both pickers. */ -export { default as ChatFormPickerListItemSkeleton } from './ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte'; +export { default as ChatFormPickerListItemSkeleton } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte'; /** - * **ChatFormResourcePicker** - MCP resource selection interface + * **ChatFormPickerMcpResources** - MCP resource selection interface * * Floating picker for browsing and attaching MCP Server Resources. * Triggered by typing `@` in the chat input. @@ -368,7 +368,16 @@ export { default as ChatFormPickerListItemSkeleton } from './ChatForm/ChatFormPi * **Exported API:** * - `handleKeydown(event): boolean` - Process keyboard events, returns true if handled */ -export { default as ChatFormResourcePicker } from './ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte'; +export { default as ChatFormPickerMcpResources } from './ChatForm/ChatFormPickers/ChatFormPickerMcpResources.svelte'; + +/** + * **ChatFormPickers** - Chat input picker container + * + * Container component that hosts both MCP prompt and MCP resource pickers. + * Manages shared state, keyboard navigation, and coordination between the two + * picker interfaces. Used within ChatForm for `@`-triggered pickers. + */ +export { default as ChatFormPickers } from './ChatForm/ChatFormPickers/ChatFormPickers.svelte'; /** * @@ -435,7 +444,7 @@ export { default as ChatMessages } from './ChatMessages/ChatMessages.svelte'; * - Displays branching controls when message has siblings * * **User Messages:** - * - Shows attachments via ChatAttachmentsList + * - Shows attachments via ChatAttachments * - Displays MCP prompts if present * - Edit creates new branch or preserves responses * @@ -463,7 +472,7 @@ export { default as ChatMessages } from './ChatMessages/ChatMessages.svelte'; * /> * ``` */ -export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte'; +export { default as ChatMessage } from './ChatMessages/ChatMessage/ChatMessage.svelte'; /** * **ChatMessageAgenticContent** - Agentic workflow output display @@ -499,8 +508,9 @@ export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte'; * ``` */ export { default as ChatMessageAgenticContent } from './ChatMessages/ChatMessageAgenticContent.svelte'; -export { default as ChatMessagePermissionRequest } from './ChatMessages/ChatMessagePermissionRequest.svelte'; -export { default as ChatMessageContinueRequest } from './ChatMessages/ChatMessageContinueRequest.svelte'; +export { default as ChatMessageActionCardPermissionRequest } from './ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte'; +export { default as ChatMessageActionCard } from './ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte'; +export { default as ChatMessageActionCardContinueRequest } from './ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardContinueRequest.svelte'; /** * Action buttons toolbar for messages. Displays copy, edit, delete, and regenerate @@ -508,7 +518,7 @@ export { default as ChatMessageContinueRequest } from './ChatMessages/ChatMessag * Shows delete confirmation dialog with cascade delete count. Handles raw output toggle * for assistant messages. */ -export { default as ChatMessageActions } from './ChatMessages/ChatMessageActions.svelte'; +export { default as ChatMessageActionIcons } from './ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIcons.svelte'; /** * Navigation controls for message siblings (conversation branches). Displays @@ -516,41 +526,29 @@ export { default as ChatMessageActions } from './ChatMessages/ChatMessageActions * to navigate between alternative versions of a message created by editing * or regenerating. Uses `conversationsStore.navigateToSibling()` for navigation. */ -export { default as ChatMessageBranchingControls } from './ChatMessages/ChatMessageBranchingControls.svelte'; +export { default as ChatMessageActionIconsBranchingControls } from './ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIconsBranchingControls.svelte'; /** * Statistics display for assistant messages. Shows token counts (prompt/completion), * generation timing, tokens per second, and model name (when enabled in settings). * Data sourced from message.timings stored during generation. */ -export { default as ChatMessageStatistics } from './ChatMessages/ChatMessageStatistics.svelte'; +export { default as ChatMessageStatistics } from './ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte'; +export { default as ChatMessageStatisticsBadge } from './ChatMessages/ChatMessageStatistics/ChatMessageStatisticsBadge.svelte'; /** * MCP prompt display in user messages. Shows when user selected an MCP prompt - * via ChatFormPromptPicker. Displays server name, prompt name, and expandable + * via ChatFormPickerMcpPrompts. Displays server name, prompt name, and expandable * content preview. Stored in message.extra as DatabaseMessageExtraMcpPrompt. */ -export { default as ChatMessageMcpPrompt } from './ChatMessages/ChatMessageMcpPrompt.svelte'; +export { default as ChatMessageMcpPrompt } from './ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPrompt.svelte'; /** * Formatted content display for MCP prompt messages. Renders the full prompt * content with arguments in a readable format. Used within ChatMessageMcpPrompt * for the expanded view. */ -export { default as ChatMessageMcpPromptContent } from './ChatMessages/ChatMessageMcpPromptContent.svelte'; - -/** - * System message display component. Renders system messages with distinct styling. - * Visibility controlled by `showSystemMessage` config setting. - */ -export { default as ChatMessageSystem } from './ChatMessages/ChatMessageSystem.svelte'; - -/** - * User message display component. Renders user messages with right-aligned bubble styling. - * Shows message content, attachments via ChatAttachmentsList, and MCP prompts if present. - * Supports inline editing mode with ChatMessageEditForm integration. - */ -export { default as ChatMessageUser } from './ChatMessages/ChatMessageUser.svelte'; +export { default as ChatMessageMcpPromptContent } from './ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPromptContent.svelte'; /** * Assistant message display component. Renders assistant responses with left-aligned styling. @@ -558,7 +556,7 @@ export { default as ChatMessageUser } from './ChatMessages/ChatMessageUser.svelt * (via ChatMessageAgenticContent). Shows model info badge, statistics, and action buttons. * Handles streaming state with real-time content updates. */ -export { default as ChatMessageAssistant } from './ChatMessages/ChatMessageAssistant.svelte'; +export { default as ChatMessageAssistant } from './ChatMessages/ChatMessage/ChatMessageAssistant/ChatMessageAssistant.svelte'; /** * Inline message editing form. Provides textarea for editing message content with @@ -568,6 +566,21 @@ export { default as ChatMessageAssistant } from './ChatMessages/ChatMessageAssis */ export { default as ChatMessageEditForm } from './ChatMessages/ChatMessageEditForm.svelte'; +/** + * User message display component. Renders user messages with right-aligned bubble styling. + * Shows message content, attachments via ChatAttachmentsList, and MCP prompts if present. + * Supports inline editing mode with ChatMessageEditForm integration. + */ +export { default as ChatMessageUser } from './ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUser.svelte'; +export { default as ChatMessageUserBubble } from './ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserBubble.svelte'; +export { default as ChatMessageUserPending } from './ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserPending.svelte'; + +/** + * System message display component. Renders system messages with distinct styling. + * Visibility controlled by `showSystemMessage` config setting. + */ +export { default as ChatMessageSystem } from './ChatMessages/ChatMessage/ChatMessageSystem/ChatMessageSystem.svelte'; + /** * * SCREEN @@ -654,131 +667,3 @@ export { default as ChatScreenForm } from './ChatScreen/ChatScreenForm.svelte'; * Only visible when `isCurrentConversationLoading` is true. */ export { default as ChatScreenProcessingInfo } from './ChatScreen/ChatScreenProcessingInfo.svelte'; - -/** - * - * SETTINGS - * - * Application settings components. Settings are persisted to localStorage via - * the config store and synchronized with server `/props` endpoint for sampling - * parameters. The settings panel uses a tabbed interface with mobile-responsive - * horizontal scrolling tabs. - * - * **Parameter Sync System:** - * Sampling parameters (temperature, top_p, etc.) can come from three sources: - * 1. **Server Props**: Default values from `/props` endpoint - * 2. **User Custom**: Values explicitly set by user (overrides server) - * 3. **App Default**: Fallback when server props unavailable - * - * The `ChatSettingsParameterSourceIndicator` badge shows which source is active. - * - */ - -/** - * Footer with save/cancel buttons for settings panel. Positioned at bottom - * of settings dialog. Save button commits form state to config store, - * cancel button triggers reset and close. - */ -export { default as ChatSettingsFooter } from './ChatSettings/ChatSettingsFooter.svelte'; - -/** - * Form fields renderer for individual settings. Generates appropriate input - * components based on field type (text, number, select, checkbox, textarea). - * Handles validation, help text display, and parameter source indicators. - */ -export { default as ChatSettingsFields } from './ChatSettings/ChatSettingsFields.svelte'; - -/** - * Badge indicating parameter source for sampling settings. Shows one of: - * - **Custom**: User has explicitly set this value (orange badge) - * - **Server Props**: Using default from `/props` endpoint (blue badge) - * - **Default**: Using app default, server props unavailable (gray badge) - * Updates in real-time as user types to show immediate feedback. - */ -export { default as ChatSettingsParameterSourceIndicator } from './ChatSettings/ChatSettingsParameterSourceIndicator.svelte'; - -/** - * **ChatSettingsToolsTab** - Tools configuration tab for chat settings - * - * Displays available tools grouped by source (built-in, MCP, custom) with - * toggles to enable/disable individual tools and tool groups. Shows MCP - * server favicons and permission management controls. - */ -export { default as ChatSettingsToolsTab } from './ChatSettings/ChatSettingsToolsTab.svelte'; - -/** - * - * SIDEBAR - * - * The sidebar integrates with ShadCN's sidebar component system - * for consistent styling and mobile responsiveness. - * Conversations are loaded from conversationsStore and displayed in reverse - * chronological order (most recent first). - * - */ - -/** - * **ChatSidebar** - Chat Sidebar with actions menu and conversation list - * - * Collapsible sidebar displaying conversation history with search and - * management actions. Integrates with ShadCN sidebar component for - * consistent styling and mobile responsiveness. - * - * **Architecture:** - * - Uses ShadCN Sidebar.* components for structure - * - Fetches conversations from conversationsStore - * - Manages search state and filtered results locally - * - Handles conversation CRUD operations via conversationsStore - * - * **Navigation:** - * - Click conversation to navigate to `/chat/[id]` - * - New chat button navigates to `/` (root) - * - Active conversation highlighted based on route params - * - * **Conversation Management:** - * - Right-click or menu button for context menu - * - Rename: Opens inline edit dialog - * - Delete: Shows confirmation with conversation preview - * - Delete All: Removes all conversations with confirmation - * - * **Features:** - * - Search/filter conversations by title - * - Conversation list with message previews (first message truncated) - * - Active conversation highlighting - * - Mobile-responsive collapse/expand via ShadCN sidebar - * - New chat button in header - * - Settings button opens DialogChatSettings - * - * **Exported API:** - * - `handleMobileSidebarItemClick()` - Close sidebar on mobile after item selection - * - `activateSearchMode()` - Focus search input programmatically - * - `editActiveConversation()` - Open rename dialog for current conversation - * - * @example - * ```svelte - * - * ``` - */ -export { default as ChatSidebar } from './ChatSidebar/ChatSidebar.svelte'; - -/** - * Action buttons for sidebar header. Contains new chat button, settings button, - * and delete all conversations button. Manages dialog states for settings and - * delete confirmation. - */ -export { default as ChatSidebarActions } from './ChatSidebar/ChatSidebarActions.svelte'; - -/** - * Single conversation item in sidebar. Displays conversation title (truncated), - * last message preview, and timestamp. Shows context menu on right-click with - * rename and delete options. Highlights when active (matches current route). - * Handles click to navigate and keyboard accessibility. - */ -export { default as ChatSidebarConversationItem } from './ChatSidebar/ChatSidebarConversationItem.svelte'; - -/** - * Search input for filtering conversations in sidebar. Filters conversation - * list by title as user types. Shows clear button when query is not empty. - * Integrated into sidebar header with proper styling. - */ -export { default as ChatSidebarSearch } from './ChatSidebar/ChatSidebarSearch.svelte'; diff --git a/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte b/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte index 082738da57..b7297ab6b1 100644 --- a/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte +++ b/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte @@ -22,7 +22,7 @@ let { open = $bindable(false), class: className = '', - icon: Icon, + icon: IconComponent, iconClass = 'h-4 w-4', title, subtitle, @@ -32,6 +32,7 @@ }: Props = $props(); let contentContainer: HTMLDivElement | undefined = $state(); + const autoScroll = createAutoScrollController(); $effect(() => { @@ -59,8 +60,8 @@
          - {#if Icon} - + {#if IconComponent} + {/if} {title} diff --git a/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte b/tools/server/webui/src/lib/components/app/content/MarkdownContent/MarkdownContent.svelte similarity index 98% rename from tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/MarkdownContent.svelte index 57506a963b..c1b71e4519 100644 --- a/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte +++ b/tools/server/webui/src/lib/components/app/content/MarkdownContent/MarkdownContent.svelte @@ -13,12 +13,12 @@ import { browser } from '$app/environment'; import { onDestroy, tick } from 'svelte'; import { SvelteMap } from 'svelte/reactivity'; - import { rehypeRestoreTableHtml } from '$lib/markdown/table-html-restorer'; - import { rehypeEnhanceLinks } from '$lib/markdown/enhance-links'; - import { rehypeEnhanceCodeBlocks } from '$lib/markdown/enhance-code-blocks'; - import { rehypeResolveAttachmentImages } from '$lib/markdown/resolve-attachment-images'; - import { rehypeRtlSupport } from '$lib/markdown/rehype-rtl-support'; - import { remarkLiteralHtml } from '$lib/markdown/literal-html'; + import { rehypeRestoreTableHtml } from './plugins/rehype/table-html-restorer'; + import { rehypeEnhanceLinks } from './plugins/rehype/enhance-links'; + import { rehypeEnhanceCodeBlocks } from './plugins/rehype/enhance-code-blocks'; + import { rehypeResolveAttachmentImages } from './plugins/rehype/resolve-attachment-images'; + import { rehypeRtlSupport } from './plugins/rehype/rehype-rtl-support'; + import { remarkLiteralHtml } from './plugins/remark/literal-html'; import { copyCodeToClipboard, preprocessLaTeX, getImageErrorFallbackHtml } from '$lib/utils'; import { IMAGE_NOT_ERROR_BOUND_SELECTOR, @@ -34,7 +34,7 @@ import githubDarkCss from 'highlight.js/styles/github-dark.css?inline'; import githubLightCss from 'highlight.js/styles/github.css?inline'; import { mode } from 'mode-watcher'; - import { ActionIconsCodeBlock, DialogCodePreview } from '$lib/components/app'; + import { CodeBlockActions, DialogCodePreview } from '$lib/components/app'; import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte'; import type { DatabaseMessageExtra } from '$lib/types/database'; import { config } from '$lib/stores/settings.svelte'; @@ -620,7 +620,7 @@
          {incompleteCodeBlock.language || 'text'} - `; -/** - * Creates an SVG element node from raw SVG string. - * Since we can't parse HTML in HAST directly, we use the raw property. - */ -function createRawHtmlElement(html: string): Element { +function createIconElement(svg: string): Element { return { type: 'element', tagName: 'span', properties: {}, - children: [{ type: 'raw', value: html } as unknown as ElementContent] + children: [{ type: 'raw', value: svg } as unknown as ElementContent] + }; +} + +function createButton(className: string, title: string, iconSvg: string, codeId: string): Element { + return { + type: 'element', + tagName: 'button', + properties: { + className: [className], + 'data-code-id': codeId, + title, + type: 'button' + }, + children: [createIconElement(iconSvg)] }; } function createCopyButton(codeId: string): Element { - return { - type: 'element', - tagName: 'button', - properties: { - className: [COPY_CODE_BTN_CLASS], - 'data-code-id': codeId, - title: 'Copy code', - type: 'button' - }, - children: [createRawHtmlElement(COPY_ICON_SVG)] - }; + return createButton(COPY_CODE_BTN_CLASS, 'Copy code', COPY_ICON_SVG, codeId); } function createPreviewButton(codeId: string): Element { - return { - type: 'element', - tagName: 'button', - properties: { - className: [PREVIEW_CODE_BTN_CLASS], - 'data-code-id': codeId, - title: 'Preview code', - type: 'button' - }, - children: [createRawHtmlElement(PREVIEW_ICON_SVG)] - }; + return createButton(PREVIEW_CODE_BTN_CLASS, 'Preview code', PREVIEW_ICON_SVG, codeId); } function createHeader(language: string, codeId: string): Element { diff --git a/tools/server/webui/src/lib/markdown/enhance-links.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/enhance-links.ts similarity index 100% rename from tools/server/webui/src/lib/markdown/enhance-links.ts rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/enhance-links.ts diff --git a/tools/server/webui/src/lib/markdown/rehype-rtl-support.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/rehype-rtl-support.ts similarity index 100% rename from tools/server/webui/src/lib/markdown/rehype-rtl-support.ts rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/rehype-rtl-support.ts diff --git a/tools/server/webui/src/lib/markdown/resolve-attachment-images.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/resolve-attachment-images.ts similarity index 100% rename from tools/server/webui/src/lib/markdown/resolve-attachment-images.ts rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/resolve-attachment-images.ts diff --git a/tools/server/webui/src/lib/markdown/table-html-restorer.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/table-html-restorer.ts similarity index 100% rename from tools/server/webui/src/lib/markdown/table-html-restorer.ts rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/table-html-restorer.ts diff --git a/tools/server/webui/src/lib/markdown/literal-html.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/remark/literal-html.ts similarity index 100% rename from tools/server/webui/src/lib/markdown/literal-html.ts rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/remark/literal-html.ts diff --git a/tools/server/webui/src/lib/components/app/content/index.ts b/tools/server/webui/src/lib/components/app/content/index.ts index 8ab488bc71..e468a441ed 100644 --- a/tools/server/webui/src/lib/components/app/content/index.ts +++ b/tools/server/webui/src/lib/components/app/content/index.ts @@ -29,7 +29,7 @@ * * ``` */ -export { default as MarkdownContent } from './MarkdownContent.svelte'; +export { default as MarkdownContent } from './MarkdownContent/MarkdownContent.svelte'; /** * **SyntaxHighlightedCode** - Code syntax highlighting diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentPreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentPreview.svelte deleted file mode 100644 index 012ba00b49..0000000000 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentPreview.svelte +++ /dev/null @@ -1,67 +0,0 @@ - - - - - - {displayName} - - {#if displaySize} - {formatFileSize(displaySize)} - {/if} - - - - - - diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsPreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsPreview.svelte new file mode 100644 index 0000000000..533301dfda --- /dev/null +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsPreview.svelte @@ -0,0 +1,88 @@ + + + + + + + + + + + + + + + diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsViewAll.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsViewAll.svelte deleted file mode 100644 index 33ab0fe02e..0000000000 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsViewAll.svelte +++ /dev/null @@ -1,54 +0,0 @@ - - - - - - - - - All Attachments ({totalCount}) - View and manage all attached files - - - - - - diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte index 54a3c90d3c..ff1005313e 100644 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte @@ -53,15 +53,19 @@

          {message}

          + {#if contextInfo}

          Prompt tokens: + {contextInfo.n_prompt_tokens.toLocaleString()}

          + {#if contextInfo.n_ctx}

          Context size: + {contextInfo.n_ctx.toLocaleString()}

          {/if} diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte index 702519f9ff..fe5d9b504b 100644 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte @@ -25,6 +25,7 @@ function handleOpenChange(nextOpen: boolean) { open = nextOpen; + onOpenChange?.(nextOpen); } @@ -46,6 +47,7 @@ aria-label="Close preview" > + Close preview diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte index 41fdf7d410..becc658d3c 100644 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte @@ -34,6 +34,7 @@ function handleKeydown(event: KeyboardEvent) { if (event.key === KeyboardKey.ENTER) { event.preventDefault(); + onConfirm(); } onKeydown?.(event); @@ -52,6 +53,7 @@ {#if icon} {@const IconComponent = icon} + {/if} {title} diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte index 1f8ea64bed..7373250850 100644 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte @@ -44,6 +44,7 @@ Select Conversations to {mode === 'export' ? 'Export' : 'Import'} + {#if mode === 'export'} Choose which conversations you want to export. Selected conversations will be downloaded diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogExportSettings.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogExportSettings.svelte new file mode 100644 index 0000000000..c112bde9f6 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogExportSettings.svelte @@ -0,0 +1,83 @@ + + + + + + + {#if includeSensitiveData} + + {:else} + + {/if} + Export Settings + + + + {#if includeSensitiveData} +

          + Warning: This export will include sensitive data such as API keys and MCP server custom + headers (e.g., authorization tokens). Do not share this file with anyone you don't + trust. +

          + {:else} +

          + Sensitive data (API keys, MCP server custom headers) will not be included in the export + to protect your credentials. +

          + {/if} +           +           + +
          + + + +
          + + + Cancel + + {#if includeSensitiveData} + Export Anyway + {:else} + Export Without Sensitive Data + {/if} + + +           +           diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogFileUploadError.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogFileUploadError.svelte new file mode 100644 index 0000000000..3bb2d357f5 --- /dev/null +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogFileUploadError.svelte @@ -0,0 +1,88 @@ + + + + + + + + + File Upload Error + + + Some files cannot be uploaded with the current model. + + + +
          + {#if fileErrorData.generallyUnsupported.length > 0} +
          +

          Unsupported File Types

          + +
          + {#each fileErrorData.generallyUnsupported as file (file.name)} +
          +

          + {file.name} +

          + +

          File type not supported

          +
          + {/each} +
          +
          + {/if} + + {#if fileErrorData.modalityUnsupported.length > 0} +
          +
          + {#each fileErrorData.modalityUnsupported as file (file.name)} +
          +

          + {file.name} +

          + +

          + {fileErrorData.modalityReasons[file.name] || 'Not supported by current model'} +

          +
          + {/each} +
          +
          + {/if} +
          + +
          +

          This model supports:

          + +

          + {fileErrorData.supportedTypes.join(', ')} +

          +
          + + + handleOpenChange(false)}>Got it + +           +           +           diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte index ad6c3130b9..7bf284089c 100644 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte @@ -31,11 +31,13 @@ if (extra.mimeType?.includes(MimeTypeIncludes.TYPESCRIPT)) return MimeTypeIncludes.TYPESCRIPT; const name = extra.name || extra.uri || ''; + return getLanguageFromFilename(name) || 'plaintext'; } function handleDownload() { if (!extra.content) return; + downloadResourceContent( extra.content, extra.mimeType || MimeTypeText.PLAIN, @@ -48,6 +50,7 @@ {extra.name} +
          {extra.uri} diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcesBrowser.svelte similarity index 99% rename from tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte rename to tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcesBrowser.svelte index db93bb4b69..eb162a5572 100644 --- a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte +++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcesBrowser.svelte @@ -11,7 +11,7 @@ mcpResourceStore } from '$lib/stores/mcp-resources.svelte'; import { - McpResourceBrowser, + McpResourcesBrowser, McpResourcePreview, McpResourceTemplateForm } from '$lib/components/app'; @@ -275,7 +275,7 @@
          - import * as Dialog from '$lib/components/ui/dialog'; import * as Table from '$lib/components/ui/table'; - import { BadgeModality, ActionIconCopyToClipboard } from '$lib/components/app'; + import { BadgesModality, ActionIconCopyToClipboard } from '$lib/components/app'; import { serverStore } from '$lib/stores/server.svelte'; import { modelsStore, modelOptions, modelsLoading } from '$lib/stores/models.svelte'; import { formatFileSize, formatParameters, formatNumber } from '$lib/utils'; @@ -229,7 +229,7 @@
          - +
          diff --git a/tools/server/webui/src/lib/components/app/dialogs/index.ts b/tools/server/webui/src/lib/components/app/dialogs/index.ts index 9c28bfb3ce..5a6453b72e 100644 --- a/tools/server/webui/src/lib/components/app/dialogs/index.ts +++ b/tools/server/webui/src/lib/components/app/dialogs/index.ts @@ -18,6 +18,37 @@ */ export { default as DialogMcpServerAddNew } from './DialogMcpServerAddNew.svelte'; +/** + * **DialogExportSettings** - Settings export dialog with sensitive data warning + * + * Dialog for exporting settings with an option to include or exclude + * sensitive data (API keys, MCP server custom headers). Defaults to excluding + * sensitive data for security. User must explicitly opt-in to include them. + * + * **Architecture:** + * - Uses ShadCN AlertDialog + * - Checkbox to toggle sensitive data inclusion (defaults to false) + * - Warning icon and message when sensitive data is included + * - Destructive variant for the action button when exporting with sensitive data + * + * **Features:** + * - Secure default: sensitive data excluded by default + * - User must explicitly opt-in to include sensitive data + * - Visual warning (ShieldOff icon) when sensitive data is included + * - Different action text based on sensitive data state + * + * @example + * ```svelte + * showExportSettings = false} + * /> + * ``` + */ +export { default as DialogExportSettings } from './DialogExportSettings.svelte'; + /** * * CONFIRMATION DIALOGS @@ -137,72 +168,36 @@ export { default as DialogCodePreview } from './DialogCodePreview.svelte'; */ /** - * **DialogChatAttachmentPreview** - Full-size attachment preview + * **DialogChatAttachmentsPreview** - Unified attachment preview dialog * - * Modal dialog for viewing file attachments at full size. Supports different - * file types with appropriate preview modes: images, text files, PDFs, and audio. + * Modal dialog for previewing file attachments. Automatically adapts to the + * number of items: shows a single file preview without carousel for one item, + * or a gallery with carousel navigation for multiple items. * * **Architecture:** - * - Wraps ChatAttachmentPreview component in ShadCN Dialog - * - Accepts either uploaded file or stored attachment as data source - * - Resets preview state when dialog opens + * - Wraps ChatAttachmentsPreview component in ShadCN Dialog + * - Accepts uploadedFiles and attachments arrays as data sources + * - Filters out MCP prompts and MCP resources from display * * **Features:** - * - Full-size image display with proper scaling - * - Text file content with syntax highlighting - * - PDF preview with text/image view toggle - * - Audio file placeholder with download option - * - File name and size display in header - * - Download button for all file types - * - Vision modality check for image attachments + * - Single item mode: direct preview without navigation controls + * - Multi-item mode: gallery with left/right arrows and thumbnail strip + * - File type aware preview (images, text, PDFs, audio) + * - File name and size/count display in header * * @example * ```svelte - * - * + * - * - * - * - * ``` - */ -export { default as DialogChatAttachmentPreview } from './DialogChatAttachmentPreview.svelte'; - -/** - * **DialogChatAttachmentsViewAll** - Grid view of all attachments - * - * Dialog showing all attachments in a responsive grid layout. Triggered by - * "+X more" button in ChatAttachmentsList when there are too many attachments - * to display inline. - * - * **Architecture:** - * - Wraps ChatAttachmentsViewAll component in ShadCN Dialog - * - Supports both readonly (message view) and editable (form) modes - * - Displays total attachment count in header - * - * **Features:** - * - Responsive grid layout for all attachments - * - Thumbnail previews with click-to-expand - * - Remove button in editable mode - * - Configurable thumbnail dimensions - * - Vision modality validation for images - * - * @example - * ```svelte - * * ``` */ -export { default as DialogChatAttachmentsViewAll } from './DialogChatAttachmentsViewAll.svelte'; +export { default as DialogChatAttachmentsPreview } from './DialogChatAttachmentsPreview.svelte'; /** * @@ -275,6 +270,35 @@ export { default as DialogChatError } from './DialogChatError.svelte'; */ export { default as DialogEmptyFileAlert } from './DialogEmptyFileAlert.svelte'; +/** + * **DialogFileUploadError** - File upload compatibility error + * + * Alert dialog shown when files cannot be uploaded due to type incompatibility + * or model modality restrictions. Displays a categorized list of problematic + * files with explanations and shows which file types the current model supports. + * + * **Architecture:** + * - Uses ShadCN AlertDialog for modal display + * - Receives structured file error data from ChatScreen + * - Triggered during file upload validation in processFiles() + * + * **Features:** + * - Categorized display: unsupported types vs modality restrictions + * - File name in monospace with contextual error messages + * - Summary of supported file types for the current model + * - Scrollable content area for large error lists + * - Single "Got it" dismiss button + * + * @example + * ```svelte + * + * ``` + */ +export { default as DialogFileUploadError } from './DialogFileUploadError.svelte'; + /** * **DialogModelNotAvailable** - Model unavailable error * @@ -398,7 +422,7 @@ export { default as DialogConversationSelection } from './DialogConversationSele export { default as DialogModelInformation } from './DialogModelInformation.svelte'; /** - * **DialogMcpResources** - MCP resources browser dialog + * **DialogMcpResourcesBrowser** - MCP resources browser dialog * * Dialog for browsing and attaching MCP resources to chat context. * Displays resources from connected MCP servers in a tree structure @@ -406,7 +430,7 @@ export { default as DialogModelInformation } from './DialogModelInformation.svel * * **Architecture:** * - Uses ShadCN Dialog with two-panel layout - * - Left panel: McpResourceBrowser with tree navigation + * - Left panel: McpResourcesBrowser with tree navigation * - Right panel: McpResourcePreview for selected resource * - Integrates with mcpStore for resource fetching and attachment * @@ -419,13 +443,13 @@ export { default as DialogModelInformation } from './DialogModelInformation.svel * * @example * ```svelte - * * ``` */ -export { default as DialogMcpResources } from './DialogMcpResources.svelte'; +export { default as DialogMcpResourcesBrowser } from './DialogMcpResourcesBrowser.svelte'; /** * **DialogMcpResourcePreview** - MCP resource content preview diff --git a/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte b/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte index 539132316a..2f732cfd53 100644 --- a/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte +++ b/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte @@ -1,5 +1,4 @@ -
          +
          {#if !resource}
          diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowser.svelte similarity index 89% rename from tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte rename to tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowser.svelte index 9d7e9c3376..24538e8d71 100644 --- a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte +++ b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowser.svelte @@ -1,13 +1,12 @@ -
          - + (searchQuery = q)} @@ -131,10 +130,10 @@
          {#if filteredResources.size === 0} - + {:else} {#each [...filteredResources.entries()] as [serverName, serverRes] (serverName)} - 0); const hasTemplates = $derived(serverRes.templates.length > 0); const hasContent = $derived(hasResources || hasTemplates); - const displayName = $derived(mcpStore.getServerDisplayName(serverName)); - const favicon = $derived(mcpStore.getServerFavicon(serverName)); const resourceTree = $derived(buildResourceTree(serverRes.resources, serverName, searchQuery)); const templateInfos = $derived( @@ -126,11 +127,11 @@ {/if} + + {#if summary && summary.show && summary.items.length > 0} +
          +
          + {summary.verb} + {summary.items.length} conversation{summary.items.length === 1 ? '' : 's'} +
          + +
            + {#each summary.items.slice(0, 10) as conv (conv.id)} +
          • • {conv.name || 'Untitled conversation'}
            • + {/each} + + {#if summary.items.length > 10} +
          • ... and {summary.items.length - 10} more
            • + {/if} +
          +
          + {/if} +
          diff --git a/tools/server/webui/src/lib/components/app/settings/SettingsImportExport.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatImportExportTab.svelte similarity index 55% rename from tools/server/webui/src/lib/components/app/settings/SettingsImportExport.svelte rename to tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatImportExportTab.svelte index 83276cd804..b7b91d65b6 100644 --- a/tools/server/webui/src/lib/components/app/settings/SettingsImportExport.svelte +++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatImportExportTab.svelte @@ -1,21 +1,18 @@ -{#snippet summaryList(show: boolean, verb: string, items: DatabaseConversation[])} - {#if show && items.length > 0} -
          -
          - {verb} - {items.length} conversation{items.length === 1 ? '' : 's'} -
          +
          + + -
            - {#each items.slice(0, 10) as conv (conv.id)} -
          • • {conv.name || 'Untitled conversation'}
            • - {/each} + - {#if items.length > 10} -
          • ... and {items.length - 10} more
            • - {/if} -
          -
          - {/if} -{/snippet} + + -{#snippet section( - title: string, - description: string, - Icon: Component, - buttonText: string, - onclick: () => void, - opts: SectionOpts -)} - {@const buttonClass = opts?.buttonClass ?? 'justify-start justify-self-start md:w-auto'} - {@const buttonVariant = opts?.buttonVariant ?? 'outline'} -
          -

          {title}

          + + -

          {description}

          - - - - {#if opts?.summary} - {@render summaryList(opts.summary.show, opts.summary.verb, opts.summary.items)} - {/if} -
          -{/snippet} - -
          -
          - - -

          Import / Export

          -
          - -
          - {@render section( - 'Export Conversations', - 'Download all your conversations as a JSON file. This includes all messages, attachments, and conversation history.', - Download, - 'Export conversations', - handleExportClick, - { summary: { show: showExportSummary, verb: 'Exported', items: exportedConversations } } - )} - - {@render section( - 'Import Conversations', - 'Import one or more conversations from a previously exported JSON file. This will merge with your existing conversations.', - Upload, - 'Import conversations', - handleImportClick, - { - wrapperClass: 'border-t border-border/30 pt-6', - summary: { show: showImportSummary, verb: 'Imported', items: importedConversations } - } - )} - - {@render section( - 'Delete All Conversations', - 'Permanently delete all conversations and their messages. This action cannot be undone. Consider exporting your conversations first if you want to keep a backup.', - Trash2, - 'Delete all conversations', - handleDeleteAllClick, - { - wrapperClass: 'border-t border-border/30 pt-4', - titleClass: 'text-destructive', - buttonVariant: 'destructive', - buttonClass: - 'text-destructive-foreground justify-start justify-self-start bg-destructive hover:bg-destructive/80 md:w-auto' - } - )} -
          + +
          + + + Custom diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsToolsTab.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatToolsTab.svelte similarity index 78% rename from tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsToolsTab.svelte rename to tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatToolsTab.svelte index bfcaace3a3..5857254d80 100644 --- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsToolsTab.svelte +++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatToolsTab.svelte @@ -2,28 +2,15 @@ import { ChevronDown, ChevronRight } from '@lucide/svelte'; import { Checkbox } from '$lib/components/ui/checkbox'; import * as Collapsible from '$lib/components/ui/collapsible'; - import { TruncatedText } from '$lib/components/app'; + import { TruncatedText, McpServerIdentity } from '$lib/components/app'; import { toolsStore } from '$lib/stores/tools.svelte'; import { permissionsStore } from '$lib/stores/permissions.svelte'; import { mcpStore } from '$lib/stores/mcp.svelte'; - import { ToolSource } from '$lib/enums'; import { SvelteSet } from 'svelte/reactivity'; let expandedGroups = new SvelteSet(); let groups = $derived(toolsStore.toolGroups); - function getFavicon(group: { source: ToolSource; label: string }): string | null { - if (group.source !== ToolSource.MCP) return null; - - for (const server of mcpStore.getServersSorted()) { - if (mcpStore.getServerLabel(server) === group.label) { - return mcpStore.getServerFavicon(server.id); - } - } - - return null; - } - function toggleExpanded(label: string) { if (expandedGroups.has(label)) { expandedGroups.delete(label); @@ -39,8 +26,6 @@
          {#each groups as group (group.label)} {@const isExpanded = expandedGroups.has(group.label)} - {@const favicon = getFavicon(group)} - toggleExpanded(group.label)}> {/if} - - {#if favicon} - { - (e.currentTarget as HTMLImageElement).style.display = 'none'; - }} - /> - {/if} + {@const faviconUrl = group.serverId ? mcpStore.getServerFavicon(group.serverId) : null} - {group.label} + + @@ -89,7 +71,7 @@ : false}
          - +
          + import type { Snippet } from 'svelte'; + + interface Props { + title: string; + children: Snippet; + } + + let { title, children }: Props = $props(); + + +
          +

          {title}

          + +
          + {@render children()} +
          +
          diff --git a/tools/server/webui/src/lib/components/app/settings/SettingsMcpServers.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsMcpServers.svelte index 10ebb3b0f4..5c801fa2c2 100644 --- a/tools/server/webui/src/lib/components/app/settings/SettingsMcpServers.svelte +++ b/tools/server/webui/src/lib/components/app/settings/SettingsMcpServers.svelte @@ -54,14 +54,14 @@ }); -
          +

          MCP Servers

          -
          +