ver4a/llama.cpp
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

CPU/CUDA: Gemma 2 FlashAttention support (#8542)

Browse source 
* CPU/CUDA: Gemma 2 FlashAttention support

* apply logit_softcap to scale in kernel

* disable logit softcapping tests on Metal

* remove metal check
This commit is contained in:
Johannes Gäßler 2024-08-24 21:34:59 +02:00 • committed by GitHub
parent 8f824ffe8e
commit e11bd856d5
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
12 changed files with 319 additions and 79 deletions
Download patch file Download diff file Expand all files Collapse all files

4
ggml/src/ggml-cuda/fattn.cu
View file

@ -13,7 +13,7 @@ static void ggml_cuda_flash_attn_ext_wmma_f16(ggml_backend_cuda_context & ctx, g
const ggml_tensor * KQV = dst;
const ggml_tensor * Q = dst->src[0];
const int32_t precision = KQV->op_params[2];
const int32_t precision = KQV->op_params[3];
if (precision != GGML_PREC_DEFAULT) {
if (Q->ne[1] <= 32 || Q->ne[0] > 128) {
@ -301,7 +301,7 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst
ggml_cuda_set_device(ctx.device);
const int cc = ggml_cuda_info().devices[ggml_cuda_get_device()].cc;
const int32_t precision = KQV->op_params[2];
const int32_t precision = KQV->op_params[3];
// On AMD the tile kernels perform poorly, use the vec kernel instead:
if (cc >= CC_OFFSET_AMD) {