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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-23 21:17:54 +01:00
speculative : threading options (#4959)
* speculative: expose draft threading * fix usage format * accept -td and -tbd args * speculative: revert default behavior when -td is unspecified * fix trailing whitespace
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@ -167,6 +167,24 @@ bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) {
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if (params.n_threads_batch <= 0) {
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params.n_threads_batch = std::thread::hardware_concurrency();
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}
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} else if (arg == "-td" || arg == "--threads-draft") {
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if (++i >= argc) {
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invalid_param = true;
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break;
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}
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params.n_threads_draft = std::stoi(argv[i]);
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if (params.n_threads_draft <= 0) {
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params.n_threads_draft = std::thread::hardware_concurrency();
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}
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} else if (arg == "-tbd" || arg == "--threads-batch-draft") {
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if (++i >= argc) {
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invalid_param = true;
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break;
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}
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params.n_threads_batch_draft = std::stoi(argv[i]);
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if (params.n_threads_batch_draft <= 0) {
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params.n_threads_batch_draft = std::thread::hardware_concurrency();
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}
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} else if (arg == "-p" || arg == "--prompt") {
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if (++i >= argc) {
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invalid_param = true;
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@ -845,6 +863,10 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
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printf(" -t N, --threads N number of threads to use during generation (default: %d)\n", params.n_threads);
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printf(" -tb N, --threads-batch N\n");
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printf(" number of threads to use during batch and prompt processing (default: same as --threads)\n");
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printf(" -td N, --threads-draft N");
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printf(" number of threads to use during generation (default: same as --threads)");
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printf(" -tbd N, --threads-batch-draft N\n");
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printf(" number of threads to use during batch and prompt processing (default: same as --threads-draft)\n");
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printf(" -p PROMPT, --prompt PROMPT\n");
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printf(" prompt to start generation with (default: empty)\n");
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printf(" -e, --escape process prompt escapes sequences (\\n, \\r, \\t, \\', \\\", \\\\)\n");
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@ -46,7 +46,9 @@ struct gpt_params {
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uint32_t seed = -1; // RNG seed
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int32_t n_threads = get_num_physical_cores();
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int32_t n_threads_draft = -1;
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int32_t n_threads_batch = -1; // number of threads to use for batch processing (-1 = use n_threads)
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int32_t n_threads_batch_draft = -1;
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int32_t n_predict = -1; // new tokens to predict
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int32_t n_ctx = 512; // context size
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int32_t n_batch = 512; // batch size for prompt processing (must be >=32 to use BLAS)
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@ -65,6 +65,10 @@ int main(int argc, char ** argv) {
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// load the draft model
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params.model = params.model_draft;
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params.n_gpu_layers = params.n_gpu_layers_draft;
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if (params.n_threads_draft > 0) {
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params.n_threads = params.n_threads_draft;
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}
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params.n_threads_batch = params.n_threads_batch_draft;
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std::tie(model_dft, ctx_dft) = llama_init_from_gpt_params(params);
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{
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