| enum common_params_fit_status { | |
| COMMON_PARAMS_FIT_STATUS_SUCCESS = 0, // found allocations that are projected to fit | |
| COMMON_PARAMS_FIT_STATUS_FAILURE = 1, // could not find allocations that are projected to fit | |
| COMMON_PARAMS_FIT_STATUS_ERROR = 2, // a hard error occurred, e.g. because no model could be found at the specified path | |
| }; | |
| // fits mparams and cparams to free device memory (assumes system memory is unlimited) | |
| // - returns true if the parameters could be successfully modified to fit device memory | |
| // - this function is NOT thread safe because it modifies the global llama logger state | |
| // - only parameters that have the same value as in llama_default_model_params are modified | |
| // with the exception of the context size which is modified if and only if equal to 0 | |
| enum common_params_fit_status common_fit_params( | |
| const char * path_model, | |
| struct llama_model_params * mparams, | |
| struct llama_context_params * cparams, | |
| float * tensor_split, // writable buffer for tensor split, needs at least llama_max_devices elements | |
| struct llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements | |
| size_t * margins, // margins of memory to leave per device in bytes | |
| uint32_t n_ctx_min, // minimum context size to set when trying to reduce memory use | |
| enum ggml_log_level log_level); // minimum log level to print during fitting, lower levels go to debug log | |
| // print estimated memory to stdout | |
| void common_fit_print( | |
| const char * path_model, | |
| struct llama_model_params * mparams, | |
| struct llama_context_params * cparams); | |
| void common_memory_breakdown_print(const struct llama_context * ctx); | |