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CUDA: Prefer vector flash decoding kernel for Gemma models #12738

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Merged
merged 2 commits into from
Apr 3, 2025
Merged

CUDA: Prefer vector flash decoding kernel for Gemma models #12738

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f7d07dd
Prefer vector flash decoding kernel for Gemma models
gaugarg-nv Apr 3, 2025
ce71aba
Update ggml/src/ggml-cuda/fattn.cu
gaugarg-nv Apr 3, 2025
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2 changes: 1 addition & 1 deletion ggml/src/ggml-cuda/fattn.cu
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Expand Up @@ -299,7 +299,7 @@ void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst
const bool gqa_opt_applies = ((Q->ne[2] / K->ne[2]) % 2 == 0) && mask; // The mma-based kernels have GQA-specific optimizations
const bool mma_needs_data_conversion = K->type != GGML_TYPE_F16 || V->type != GGML_TYPE_F16;
const bool mma_faster_for_bs1 = new_mma_available(cc) && gqa_opt_applies && cc < GGML_CUDA_CC_ADA_LOVELACE && !mma_needs_data_conversion;
const bool can_use_vector_kernel = (Q->ne[0] % (2*warp_size) == 0) && (prec == GGML_PREC_DEFAULT || Q->ne[0] <= 128);
const bool can_use_vector_kernel = Q->ne[0] % (2*warp_size) == 0;
if (Q->ne[1] == 1 && can_use_vector_kernel && !mma_faster_for_bs1) {
if (prec == GGML_PREC_DEFAULT) {
ggml_cuda_flash_attn_ext_vec_f16(ctx, dst);
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