#include "llama.h" #include "arg.h" #include "common.h" #include "log.h" #include #include #include using namespace std::chrono_literals; #if defined(_MSC_VER) #pragma warning(disable: 4244 4267) // possible loss of data #endif int main(int argc, char ** argv) { common_params params; if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) { return 1; } common_init(); llama_backend_init(); llama_numa_init(params.numa); auto mparams = common_model_params_to_llama(params); auto cparams = common_context_params_to_llama(params); const bool success = llama_params_fit(params.model.path.c_str(), &mparams, &cparams, params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target, params.fit_params_min_ctx, params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR); if (!success) { LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__); exit(1); } LOG_INF("%s: printing fitted CLI arguments to stdout...\n", __func__); std::this_thread::sleep_for(10ms); // to avoid a race between stderr and stdout printf("-c %" PRIu32 " -ngl %" PRIu32, cparams.n_ctx, mparams.n_gpu_layers); size_t nd = llama_max_devices(); while (nd > 1 && mparams.tensor_split[nd - 1] == 0.0f) { nd--; } if (nd > 1) { for (size_t id = 0; id < nd; id++) { if (id == 0) { printf(" -ts "); } printf("%s%" PRIu32, id > 0 ? "," : "", uint32_t(mparams.tensor_split[id])); } } const size_t ntbo = llama_max_tensor_buft_overrides(); bool any_tbo = false; for (size_t itbo = 0; itbo < ntbo && mparams.tensor_buft_overrides[itbo].pattern != nullptr; itbo++) { if (itbo == 0) { printf(" -ot \""); } printf("%s%s=%s", itbo > 0 ? "," : "", mparams.tensor_buft_overrides[itbo].pattern, ggml_backend_buft_name(mparams.tensor_buft_overrides[itbo].buft)); any_tbo = true; } printf("%s\n", any_tbo ? "\"" : ""); return 0; }