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CUDA: extend K-type validation to V-types for flash attention (#24403)
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* CUDA: extend K-type validation to V-types for flash attention * reorder
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1 changed files with 22 additions and 16 deletions
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@ -337,6 +337,26 @@ enum best_fattn_kernel {
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BEST_FATTN_KERNEL_MMA_F16 = 400,
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};
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static bool ggml_cuda_fattn_kv_type_supported(ggml_type type) {
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switch (type) {
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case GGML_TYPE_F32:
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case GGML_TYPE_F16:
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return true;
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case GGML_TYPE_Q4_1:
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case GGML_TYPE_Q5_0:
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case GGML_TYPE_Q5_1:
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#ifndef GGML_CUDA_FA_ALL_QUANTS
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return false;
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#endif // GGML_CUDA_FA_ALL_QUANTS
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case GGML_TYPE_Q4_0:
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case GGML_TYPE_Q8_0:
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case GGML_TYPE_BF16:
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return true;
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default:
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return false;
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}
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}
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static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const ggml_tensor * dst) {
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#ifndef FLASH_ATTN_AVAILABLE
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GGML_UNUSED(device); GGML_UNUSED(dst);
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@ -427,22 +447,8 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
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}
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#endif // GGML_CUDA_FA_ALL_QUANTS
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switch (K->type) {
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case GGML_TYPE_F32:
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case GGML_TYPE_F16:
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break;
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case GGML_TYPE_Q4_1:
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case GGML_TYPE_Q5_0:
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case GGML_TYPE_Q5_1:
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#ifndef GGML_CUDA_FA_ALL_QUANTS
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return BEST_FATTN_KERNEL_NONE;
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#endif // GGML_CUDA_FA_ALL_QUANTS
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case GGML_TYPE_Q4_0:
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case GGML_TYPE_Q8_0:
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case GGML_TYPE_BF16:
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break;
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default:
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return BEST_FATTN_KERNEL_NONE;
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if (!ggml_cuda_fattn_kv_type_supported(K->type) || !ggml_cuda_fattn_kv_type_supported(V->type)) {
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return BEST_FATTN_KERNEL_NONE;
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}
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if (mask && mask->ne[2] != 1) {
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