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Running on Zero
| // satisfies -Wmissing-declarations | |
| int llama_fit_params(int argc, char ** argv); | |
| int llama_fit_params(int argc, char ** argv) { | |
| common_params params; | |
| common_init(); | |
| if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_FIT_PARAMS)) { | |
| return 1; | |
| } | |
| llama_backend_init(); | |
| llama_numa_init(params.numa); | |
| auto mparams = common_model_params_to_llama(params); | |
| auto cparams = common_context_params_to_llama(params); | |
| if (!params.fit_params_print) { | |
| const common_params_fit_status status = common_fit_params(params.model.path.c_str(), &mparams, &cparams, | |
| params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx, | |
| params.verbosity >= LOG_LEVEL_DEBUG ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR); | |
| if (status != COMMON_PARAMS_FIT_STATUS_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__); | |
| common_log_flush(common_log_main()); | |
| printf("-c %" PRIu32 " -ngl %" PRIi32, 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 ? "\"" : ""); | |
| } else { | |
| LOG_INF("%s: printing estimated memory in MiB to stdout (device, model, context, compute) ...\n", __func__); | |
| common_log_flush(common_log_main()); | |
| common_fit_print(params.model.path.c_str(), &mparams, &cparams); | |
| } | |
| return 0; | |
| } | |