Reduce model loading time (#43)

* Use buffering

* Use vector

* Minor

---------

Co-authored-by: Georgi Gerganov <redacted>

diff --git a/main.cpp b/main.cpp
index d068761e39dcce9137a7f215237a1af96248343c..ee0952f74483f9a74c30da02a6401adc604fa7b3 100644 (file)
--- a/main.cpp
+++ b/main.cpp
@@ -87,7 +87,10 @@ struct llama_model {
 bool llama_model_load(const std::string & fname, llama_model & model, gpt_vocab & vocab, int n_ctx) {
     printf("%s: loading model from '%s' - please wait ...\n", __func__, fname.c_str());
 
+    std::vector<char> f_buf(1024*1024);
+
     auto fin = std::ifstream(fname, std::ios::binary);
+    fin.rdbuf()->pubsetbuf(f_buf.data(), f_buf.size());
     if (!fin) {
         fprintf(stderr, "%s: failed to open '%s'\n", __func__, fname.c_str());
         return false;
@@ -325,6 +328,7 @@ bool llama_model_load(const std::string & fname, llama_model & model, gpt_vocab
         printf("%s: loading model part %d/%d from '%s'\n", __func__, i+1, n_parts, fname_part.c_str());
 
         fin = std::ifstream(fname_part, std::ios::binary);
+        fin.rdbuf()->pubsetbuf(f_buf.data(), f_buf.size());
         fin.seekg(file_offset);
 
         // load weights