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Merge commit 'deae5ee133a3c4c56fbd46c17c8c2103af3bd643' into concedo_experimental
# Conflicts: # .devops/openvino.Dockerfile # .github/workflows/build-apple.yml # .github/workflows/build-cuda-ubuntu.yml # .github/workflows/docker.yml # .github/workflows/release.yml # .github/workflows/server-sanitize.yml # .github/workflows/ui-build-self-hosted.yml # .github/workflows/ui-build.yml # .github/workflows/ui-publish.yml # .github/workflows/ui-self-hosted.yml # .github/workflows/ui.yml # CMakeLists.txt # docs/backend/snapdragon/CMakeUserPresets.json # docs/backend/snapdragon/README.md # docs/backend/snapdragon/developer.md # docs/backend/snapdragon/linux.md # docs/backend/snapdragon/windows.md # docs/ops.md # docs/ops/Vulkan.csv # ggml/cmake/ggml-config.cmake.in # ggml/src/ggml-cpu/CMakeLists.txt # ggml/src/ggml-cpu/kleidiai/kernels.cpp # ggml/src/ggml-cpu/kleidiai/kernels.h # ggml/src/ggml-cpu/kleidiai/kleidiai.cpp # ggml/src/ggml-hexagon/ggml-hexagon.cpp # ggml/src/ggml-hexagon/htp-opnode.h # ggml/src/ggml-hexagon/htp/CMakeLists.txt # ggml/src/ggml-hexagon/htp/act-ops.c # ggml/src/ggml-hexagon/htp/cpy-ops.c # ggml/src/ggml-hexagon/htp/dma-queue.h # ggml/src/ggml-hexagon/htp/flash-attn-ops.c # ggml/src/ggml-hexagon/htp/get-rows-ops.c # ggml/src/ggml-hexagon/htp/hex-utils.h # ggml/src/ggml-hexagon/htp/htp-ctx.h # ggml/src/ggml-hexagon/htp/htp-ops.h # ggml/src/ggml-hexagon/htp/htp-tensor.c # ggml/src/ggml-hexagon/htp/htp-tensor.h # ggml/src/ggml-hexagon/htp/hvx-arith.h # ggml/src/ggml-hexagon/htp/main.c # ggml/src/ggml-hexagon/htp/matmul-ops.c # ggml/src/ggml-hexagon/htp/matmul-ops.h # ggml/src/ggml-hexagon/htp/set-rows-ops.c # ggml/src/ggml-rpc/CMakeLists.txt # scripts/snapdragon/ggml-hexagon-profile.py # scripts/snapdragon/ggml-hexagon-trace.py # tests/test-backend-ops.cpp # tools/cli/README.md # tools/llama-bench/llama-bench.cpp # tools/rpc/README.md # tools/server/README.md # tools/ui/tests/stories/a11y/ChatScreenForm.a11y.stories.svelte
This commit is contained in:
+34
-11
@@ -2645,6 +2645,27 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.mtmd_batch_max_tokens = value;
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}
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).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_MTMD_BATCH_MAX_TOKENS"));
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add_opt(common_arg(
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{"--video-fps"}, "N",
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string_format("target video frame rate (default: %.1f)", params.video_fps),
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[](common_params & params, const std::string & value) {
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params.video_fps = std::stof(value);
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}
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).set_examples(mmproj_examples).set_env("LLAMA_ARG_VIDEO_FPS"));
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add_opt(common_arg(
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{"--video-timestamp-interval"}, "N",
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string_format("interval in milliseconds between text timestamps (default: %" PRId64 ")", params.video_timestamp_interval_ms),
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[](common_params & params, int value) {
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params.video_timestamp_interval_ms = value;
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}
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).set_examples(mmproj_examples).set_env("LLAMA_ARG_VIDEO_TIMESTAMP_INTERVAL"));
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add_opt(common_arg(
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{"--video-ffmpeg-dir"}, "DIR",
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"path to the directory containing ffmpeg and ffprobe (default: search in PATH)",
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[](common_params & params, const std::string & value) {
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params.video_ffmpeg_bin_dir = value;
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}
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).set_examples(mmproj_examples).set_env("LLAMA_ARG_VIDEO_FFMPEG_DIR"));
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if (params.is_gen_docs || llama_supports_rpc()) {
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add_opt(common_arg(
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{"--rpc"}, "SERVERS",
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@@ -2751,14 +2772,20 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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if (value < 0) {
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throw std::invalid_argument("invalid value");
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}
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for (int i = 0; i < value; ++i) {
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// keep strings alive and avoid leaking memory by storing them in a static vector
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static std::list<std::string> buft_overrides;
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buft_overrides.push_back(llm_ffn_exps_block_regex(i));
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params.tensor_buft_overrides.push_back({buft_overrides.back().c_str(), ggml_backend_cpu_buffer_type()});
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}
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llm_add_n_cpu_ffn_overrides(value, LLM_FFN_EXPS_REGEX, params.tensor_buft_overrides);
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}
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).set_env("LLAMA_ARG_N_CPU_MOE"));
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add_opt(common_arg(
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{"-ncffn", "--n-cpu-ffn"}, "N",
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"keep the dense FFN weights of the first N layers in the CPU\n"
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"(dense models; for MoE expert weights use --n-cpu-moe)",
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[](common_params & params, int value) {
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if (value < 0) {
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throw std::invalid_argument("invalid value");
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}
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llm_add_n_cpu_ffn_overrides(value, LLM_FFN_DENSE_REGEX, params.tensor_buft_overrides);
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}
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).set_env("LLAMA_ARG_N_CPU_FFN"));
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GGML_ASSERT(params.n_gpu_layers < 0); // string_format would need to be extended for a default >= 0
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add_opt(common_arg(
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{"-ngl", "--gpu-layers", "--n-gpu-layers"}, "N",
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@@ -4085,11 +4112,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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if (value < 0) {
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throw std::invalid_argument("invalid value");
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}
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for (int i = 0; i < value; ++i) {
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static std::list<std::string> buft_overrides_draft;
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buft_overrides_draft.push_back(llm_ffn_exps_block_regex(i));
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params.speculative.draft.tensor_buft_overrides.push_back({buft_overrides_draft.back().c_str(), ggml_backend_cpu_buffer_type()});
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}
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llm_add_n_cpu_ffn_overrides(value, LLM_FFN_EXPS_REGEX, params.speculative.draft.tensor_buft_overrides);
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}
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).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_N_CPU_MOE"));
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