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authorMaƫl Kerbiriou <m431.kerbiriou@gmail.com>2023-03-29 18:10:07 +0200
committerGitHub <noreply@github.com>2023-03-29 19:10:07 +0300
commit41318d708ed196ff727dce14d263a64b23c7333d (patch)
tree4aebe8deb2b4ae9c069d89d355f2c769807ffe46
parenta6956b25a1c783e5e96fe06c9c00438f846ef047 (diff)
llama : use the same threshold for OpenBLAS and ggml thread limiting (#577)
-rw-r--r--llama.cpp2
1 files changed, 1 insertions, 1 deletions
diff --git a/llama.cpp b/llama.cpp
index 2d027925..aa0c362d 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -856,7 +856,7 @@ static bool llama_eval_internal(
// 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
ggml_cgraph gf = {};
- gf.n_threads = N > 255 && ggml_cpu_has_blas() ? 1 : n_threads;
+ gf.n_threads = N >= 32 && ggml_cpu_has_blas() ? 1 : n_threads;
struct ggml_tensor * embd = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, N);
memcpy(embd->data, tokens, N*ggml_element_size(embd));