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Merge branch 'upstream' into concedo_experimental
# Conflicts: # .devops/vulkan.Dockerfile # .github/workflows/build.yml # ci/run.sh # examples/model-conversion/Makefile # examples/model-conversion/README.md # examples/model-conversion/scripts/causal/compare-logits.py # examples/model-conversion/scripts/embedding/run-converted-model.sh # examples/model-conversion/scripts/utils/common.py # examples/model-conversion/scripts/utils/semantic_check.py # ggml/src/ggml-cann/ggml-cann.cpp # ggml/src/ggml-cuda/CMakeLists.txt # ggml/src/ggml-opencl/CMakeLists.txt # ggml/src/ggml-opencl/ggml-opencl.cpp # ggml/src/ggml-sycl/ggml-sycl.cpp # ggml/src/ggml-webgpu/ggml-webgpu.cpp # scripts/pr2wt.sh # scripts/sync_vendor.py # tests/test-arg-parser.cpp
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+35
-6
@@ -2090,11 +2090,22 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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add_opt(common_arg(
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{"--mmap"},
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{"--no-mmap"},
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string_format("whether to memory-map model (if disabled, slower load but may reduce pageouts if not using mlock) (default: %s)", params.use_mmap ? "enabled" : "disabled"),
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string_format("whether to memory-map model. Explicitly enabling mmap disables direct-io. (if mmap disabled, slower load but may reduce pageouts if not using mlock) (default: %s)", params.use_mmap ? "enabled" : "disabled"),
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[](common_params & params, bool value) {
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params.use_mmap = value;
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if (value) {
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params.use_direct_io = false; // disable direct io when mmap is explicitly enabled
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}
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}
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).set_env("LLAMA_ARG_MMAP"));
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add_opt(common_arg(
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{"-dio", "--direct-io"},
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{"-ndio", "--no-direct-io"},
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string_format("use DirectIO if available. Takes precedence over --mmap (default: %s)", params.use_direct_io ? "enabled" : "disabled"),
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[](common_params & params, bool value) {
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params.use_direct_io = value;
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}
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).set_env("LLAMA_ARG_DIO"));
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add_opt(common_arg(
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{"--numa"}, "TYPE",
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"attempt optimizations that help on some NUMA systems\n"
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@@ -2246,7 +2257,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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std::vector<std::string> split_arg{ it, {} };
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if (split_arg.size() >= llama_max_devices()) {
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throw std::invalid_argument(
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string_format("got %d input configs, but system only has %d devices", (int)split_arg.size(), (int)llama_max_devices())
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string_format("got %zu input configs, but system only has %zu devices", split_arg.size(), llama_max_devices())
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);
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}
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for (size_t i = 0; i < llama_max_devices(); ++i) {
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@@ -2286,10 +2297,28 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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}
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).set_env("LLAMA_ARG_FIT"));
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add_opt(common_arg(
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{ "-fitt", "--fit-target" }, "MiB",
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string_format("target margin per device for --fit option, default: %zu", params.fit_params_target/(1024*1024)),
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[](common_params & params, int value) {
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params.fit_params_target = value * size_t(1024*1024);
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{ "-fitt", "--fit-target" }, "MiB0,MiB1,MiB2,...",
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string_format("target margin per device for --fit, comma-separated list of values, "
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"single value is broadcast across all devices, default: %zu", params.fit_params_target[0]/(1024*1024)),
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[](common_params & params, const std::string & value) {
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std::string arg_next = value;
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// split string by , and /
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const std::regex regex{ R"([,/]+)" };
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std::sregex_token_iterator it{ arg_next.begin(), arg_next.end(), regex, -1 };
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std::vector<std::string> split_arg{ it, {} };
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if (split_arg.size() >= llama_max_devices()) {
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throw std::invalid_argument(
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string_format("got %zu input configs, but system only has %zu devices", split_arg.size(), llama_max_devices())
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);
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}
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if (split_arg.size() == 1) {
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std::fill(params.fit_params_target.begin(), params.fit_params_target.end(), std::stoul(split_arg[0]) * 1024*1024);
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return;
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}
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for (size_t i = 0; i < split_arg.size(); i++) {
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params.fit_params_target[i] = std::stoul(split_arg[i]) * 1024*1024;
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}
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}
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).set_env("LLAMA_ARG_FIT_TARGET"));
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add_opt(common_arg(
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