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Reduce model loading time (#43)

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* Use buffering

* Use vector

* Minor

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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uint256_t 2023-03-14 01:33:43 +09:00 committed by GitHub
parent 2a20f48efa
commit 63fd76fbb0
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1 changed files with 4 additions and 0 deletions
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main.cpp
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@ -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