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fit : avoid including llama-ext.h in fit.h (#24506)
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common/fit.h
28
common/fit.h
@ -1,9 +1,7 @@
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#pragma once
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#include "ggml.h"
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#include "ggml-backend.h"
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#include "llama.h"
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#include "../src/llama-ext.h"
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#include <vector>
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@ -18,31 +16,35 @@ enum common_params_fit_status {
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// - this function is NOT thread safe because it modifies the global llama logger state
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// - only parameters that have the same value as in llama_default_model_params are modified
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// with the exception of the context size which is modified if and only if equal to 0
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enum common_params_fit_status common_fit_params(
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common_params_fit_status common_fit_params(
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const char * path_model,
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struct llama_model_params * mparams,
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struct llama_context_params * cparams,
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llama_model_params * mparams,
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llama_context_params * cparams,
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float * tensor_split, // writable buffer for tensor split, needs at least llama_max_devices elements
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struct llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
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llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
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size_t * margins, // margins of memory to leave per device in bytes
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uint32_t n_ctx_min, // minimum context size to set when trying to reduce memory use
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enum ggml_log_level log_level); // minimum log level to print during fitting, lower levels go to debug log
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ggml_log_level log_level); // minimum log level to print during fitting, lower levels go to debug log
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// print estimated memory to stdout
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void common_fit_print(
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const char * path_model,
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struct llama_model_params * mparams,
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struct llama_context_params * cparams);
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llama_model_params * mparams,
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llama_context_params * cparams);
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void common_memory_breakdown_print(const struct llama_context * ctx);
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void common_memory_breakdown_print(const llama_context * ctx);
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// TODO: convert this to common_device_memory_data that wraps llama_device_memory_data
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// add API for accessing the internal `llama-ext.h` information
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struct llama_device_memory_data;
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// Load a model + context with no_alloc and return the per-device memory breakdown.
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std::vector<llama_device_memory_data> common_get_device_memory_data(
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const char * path_model,
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const struct llama_model_params * mparams,
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const struct llama_context_params * cparams,
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const llama_model_params * mparams,
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const llama_context_params * cparams,
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std::vector<ggml_backend_dev_t> & devs,
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uint32_t & hp_ngl,
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uint32_t & hp_n_ctx_train,
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uint32_t & hp_n_expert,
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enum ggml_log_level log_level);
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ggml_log_level log_level);
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@ -2,6 +2,7 @@
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// this is a staging header for new llama.cpp API
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// breaking changes and C++ are allowed. everything here should be considered WIP
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// try as much as possible to not include this header in the rest of the codebase
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#include "llama.h"
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