llama : multi-threaded quantization (#1075)
* Multi-threading quantization. Not much gain for simple quantizations, bit it will be important for quantizations that require more CPU cycles. * Multi-threading for quantize-stats It now does the job in ~14 seconds on my Mac for Q4_0, Q4_1 and Q4_2. Single-threaded it was taking more than 2 minutes after adding the more elaborate version of Q4_2. * Reviewer comments * Avoiding compiler confusion After changing chunk_size to const int as suggested by @ggerganov, clang and GCC starting to warn me that I don't need to capture it in the lambda. So, I removed it from the capture list. But that makes the MSVC build fail. So, making it a constexpr to make every compiler happy. * Still fighting with lambda captures in MSVC --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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6 changed files with 183 additions and 61 deletions
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@ -10,8 +10,8 @@
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int main(int argc, char ** argv) {
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ggml_time_init();
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if (argc != 4) {
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fprintf(stderr, "usage: %s model-f32.bin model-quant.bin type\n", argv[0]);
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if (argc < 4) {
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fprintf(stderr, "usage: %s model-f32.bin model-quant.bin type [nthread]\n", argv[0]);
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fprintf(stderr, " type = %d - q4_0\n", LLAMA_FTYPE_MOSTLY_Q4_0);
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fprintf(stderr, " type = %d - q4_1\n", LLAMA_FTYPE_MOSTLY_Q4_1);
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fprintf(stderr, " type = %d - q4_2\n", LLAMA_FTYPE_MOSTLY_Q4_2);
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@ -30,6 +30,7 @@ int main(int argc, char ** argv) {
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const std::string fname_out = argv[2];
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const enum llama_ftype ftype = (enum llama_ftype)atoi(argv[3]);
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int nthread = argc > 4 ? atoi(argv[4]) : 0;
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const int64_t t_main_start_us = ggml_time_us();
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@ -39,7 +40,7 @@ int main(int argc, char ** argv) {
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{
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const int64_t t_start_us = ggml_time_us();
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if (llama_model_quantize(fname_inp.c_str(), fname_out.c_str(), ftype)) {
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if (llama_model_quantize(fname_inp.c_str(), fname_out.c_str(), ftype, nthread)) {
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fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str());
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return 1;
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}
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