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