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authorJustin Suess <justin.suess@westpoint.edu>2023-03-15 15:42:40 -0400
committerGitHub <noreply@github.com>2023-03-15 21:42:40 +0200
commit2d64715ad475f192a4004a52d134c67ccb6f44ad (patch)
tree1809c957a8cd0b7fd530e18288ed2d925041218a
parent16b2c61a22f828ea77d9f084ca871c63bc5cc283 (diff)
added ctx_size parameter (#148)
* added ctx_size parameter * added it in more places * Apply suggestions from code review --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
-rw-r--r--main.cpp5
-rw-r--r--utils.cpp3
-rw-r--r--utils.h3
3 files changed, 8 insertions, 3 deletions
diff --git a/main.cpp b/main.cpp
index 6227db6..dcc42af 100644
--- a/main.cpp
+++ b/main.cpp
@@ -547,6 +547,8 @@ bool llama_eval(
const int d_key = n_embd/n_head;
+ // TODO: check if this size scales with n_ctx linearly and remove constant. somehow I feel it wasn't the case
+ // static size_t buf_size = hparams.n_ctx*1024*1024;
static size_t buf_size = 512u*1024*1024;
static void * buf = malloc(buf_size);
@@ -819,8 +821,7 @@ int main(int argc, char ** argv) {
// load the model
{
const int64_t t_start_us = ggml_time_us();
-
- if (!llama_model_load(params.model, model, vocab, 512)) { // TODO: set context from user input ??
+ if (!llama_model_load(params.model, model, vocab, params.n_ctx)) {
fprintf(stderr, "%s: failed to load model from '%s'\n", __func__, params.model.c_str());
return 1;
}
diff --git a/utils.cpp b/utils.cpp
index 54217f0..aa3ad10 100644
--- a/utils.cpp
+++ b/utils.cpp
@@ -37,6 +37,8 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
params.n_predict = std::stoi(argv[++i]);
} else if (arg == "--top_k") {
params.top_k = std::stoi(argv[++i]);
+ } else if (arg == "-c" || arg == "--ctx_size") {
+ params.n_ctx = std::stoi(argv[++i]);
} else if (arg == "--top_p") {
params.top_p = std::stof(argv[++i]);
} else if (arg == "--temp") {
@@ -92,6 +94,7 @@ void gpt_print_usage(int argc, char ** argv, const gpt_params & params) {
fprintf(stderr, " --top_p N top-p sampling (default: %.1f)\n", params.top_p);
fprintf(stderr, " --repeat_last_n N last n tokens to consider for penalize (default: %d)\n", params.repeat_last_n);
fprintf(stderr, " --repeat_penalty N penalize repeat sequence of tokens (default: %.1f)\n", params.repeat_penalty);
+ fprintf(stderr, " -c N, --ctx_size N size of the prompt context (default: %d)\n", params.n_ctx);
fprintf(stderr, " --temp N temperature (default: %.1f)\n", params.temp);
fprintf(stderr, " -b N, --batch_size N batch size for prompt processing (default: %d)\n", params.n_batch);
fprintf(stderr, " -m FNAME, --model FNAME\n");
diff --git a/utils.h b/utils.h
index 4f98011..021120b 100644
--- a/utils.h
+++ b/utils.h
@@ -17,7 +17,8 @@ struct gpt_params {
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
int32_t n_predict = 128; // new tokens to predict
int32_t repeat_last_n = 64; // last n tokens to penalize
-
+ int32_t n_ctx = 512; //context size
+
// sampling parameters
int32_t top_k = 40;
float top_p = 0.95f;