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-rw-r--r--common/common.cpp14
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);
}