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llama : update logic for number of threads when using BLAS

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Georgi Gerganov 2023-09-05 10:46:39 +03:00
parent 921772104b
commit 35938ee3b0
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1 changed files with 6 additions and 1 deletions
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llama.cpp
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@ -2942,7 +2942,12 @@ static bool llama_eval_internal(
// for big prompts, if BLAS is enabled, it is better to use only one thread // for big prompts, if BLAS is enabled, it is better to use only one thread
// otherwise, the threads are spin-lock waiting for the BLAS calls and are degrading the performance // otherwise, the threads are spin-lock waiting for the BLAS calls and are degrading the performance
n_threads = N >= 32 && ggml_cpu_has_blas() && !ggml_cpu_has_gpublas() ? 1 : n_threads; // TODO: this is mostly important for Apple Silicon where CBLAS is still performing very well
// we still need some threads to process all non-mul_mat ops, but not too much to avoid interfering
// with the BLAS calls. need a better solution
if (N >= 32 && ggml_cpu_has_blas() && !ggml_cpu_has_gpublas()) {
n_threads = std::min(4, n_threads);
}
struct ggml_tensor * res = gf->nodes[gf->n_nodes - 1]; struct ggml_tensor * res = gf->nodes[gf->n_nodes - 1];
struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2]; struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2];