diff options
Diffstat (limited to 'common/common.cpp')
-rw-r--r-- | common/common.cpp | 14 |
1 files changed, 12 insertions, 2 deletions
diff --git a/common/common.cpp b/common/common.cpp index 2f38ac63..73b1b61b 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -483,6 +483,12 @@ bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) { break; } params.n_batch = std::stoi(argv[i]); + } else if (arg == "-ub" || arg == "--ubatch-size") { + if (++i >= argc) { + invalid_param = true; + break; + } + params.n_ubatch = std::stoi(argv[i]); } else if (arg == "--keep") { if (++i >= argc) { invalid_param = true; @@ -977,7 +983,9 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) { printf(" binary file containing multiple choice tasks.\n"); printf(" -n N, --n-predict N number of tokens to predict (default: %d, -1 = infinity, -2 = until context filled)\n", params.n_predict); printf(" -c N, --ctx-size N size of the prompt context (default: %d, 0 = loaded from model)\n", params.n_ctx); - printf(" -b N, --batch-size N batch size for prompt processing (default: %d)\n", params.n_batch); + printf(" -b N, --batch-size N logical maximum batch size (default: %d)\n", params.n_batch); + printf(" -ub N, --ubatch-size N\n"); + printf(" physical maximum batch size (default: %d)\n", params.n_ubatch); printf(" --samplers samplers that will be used for generation in the order, separated by \';\'\n"); printf(" (default: %s)\n", sampler_type_names.c_str()); printf(" --sampling-seq simplified sequence for samplers that will be used (default: %s)\n", sampler_type_chars.c_str()); @@ -1287,8 +1295,9 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param auto cparams = llama_context_default_params(); cparams.n_ctx = params.n_ctx; - cparams.n_batch = params.n_batch; cparams.n_seq_max = params.n_parallel; + cparams.n_batch = params.n_batch; + cparams.n_ubatch = params.n_ubatch; cparams.n_threads = params.n_threads; cparams.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch; cparams.seed = params.seed; @@ -1379,6 +1388,7 @@ std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_par std::vector<llama_token> tmp = { llama_token_bos(model), llama_token_eos(model), }; llama_decode(lctx, llama_batch_get_one(tmp.data(), std::min(tmp.size(), (size_t) params.n_batch), 0, 0)); llama_kv_cache_clear(lctx); + llama_synchronize(lctx); llama_reset_timings(lctx); } |