vbatts/llama.cpp
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CUDA: quantized KV support for FA vec

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This commit is contained in:
Johannes Gäßler 2024-05-21 19:38:25 +02:00
parent 10b1e45876
commit 672244a88b
11 changed files with 826 additions and 142 deletions
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11
ggml-cuda/fattn.cu
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@ -45,6 +45,9 @@ static __global__ void flash_attn_ext_f16(
const int nb11,
const int nb12,
const int nb13,
const int nb21,
const int nb22,
const int nb23,
const int ne0,
const int ne1,
const int ne2,
@ -457,14 +460,18 @@ void launch_fattn_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
const ggml_tensor * KQV = dst;
const ggml_tensor * Q = dst->src[0];
const ggml_tensor * K = dst->src[1];
const ggml_tensor * V = dst->src[2];
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 bool quantized_KV = ggml_is_quantized(K->type) || ggml_is_quantized(V->type);
// On AMD the tile kernels perform poorly, use the vec kernel instead:
if (cc >= CC_OFFSET_AMD) {
if (precision == GGML_PREC_DEFAULT) {
if (cc >= CC_OFFSET_AMD || quantized_KV) {
if (precision == GGML_PREC_DEFAULT && fast_fp16_available(cc)) {
ggml_cuda_flash_attn_ext_vec_f16_no_mma(ctx, dst);
} else {
ggml_cuda_flash_attn_ext_vec_f32(ctx, dst);