llama: automatically set parameters not set by the user in such a way that maximizes GPU utilization (#16653)
* llama: automatically fit args to free memory llama-fit-params tool * fix CI * hints for bug reports, ensure no reallocation * fix segfault with Vulkan * add llama-fit-params to CI * fix CI * fix CI * fix CI * minor adjustments * fix assignment of 1 dense layer * fix logger not being reset on model load failure * remove --n-gpu-layer hint on model load failure * fix llama-fit-params verbosity * fix edge case * fix typo [no ci]
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@@ -26,6 +26,10 @@ struct llama_memory_breakdown_data {
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size_t model = 0; // memory allocated for the model
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size_t context = 0; // memory allocated for the context
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size_t compute = 0; // memory allocated for temporary compute buffers
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size_t total() const {
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return model + context + compute;
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}
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};
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struct llama_context {
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@@ -206,7 +210,8 @@ public:
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ggml_status graph_compute(ggml_cgraph * gf, bool batched);
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// reserve a graph with a dummy ubatch of the specified size
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ggml_cgraph * graph_reserve(uint32_t n_tokens, uint32_t n_seqs, uint32_t n_outputs, const llama_memory_context_i * mctx, bool split_only = false);
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ggml_cgraph * graph_reserve(
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uint32_t n_tokens, uint32_t n_seqs, uint32_t n_outputs, const llama_memory_context_i * mctx, bool split_only = false, size_t * sizes = nullptr);
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private:
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llm_graph_params graph_params(
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@@ -281,9 +286,10 @@ private:
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std::vector<std::pair<ggml_backend_t, ggml_backend_set_n_threads_t>> set_n_threads_fns;
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// buffer types used for the compute buffer of each backend
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// pointers and buffer types used for the compute buffer of each backend
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std::vector<ggml_backend_t> backend_ptrs;
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std::vector<ggml_backend_buffer_type_t> backend_buft;
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std::vector<size_t> backend_buf_exp_size; // expected buffer sizes
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llm_graph_result_ptr gf_res_prev;
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llm_graph_result_ptr gf_res_reserve;
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