cuda: reserve space for quantize kv-cache at startup (#23907)
* cuda: reserve space for quantize kv-cache at startup * address review comments * remove forward decl Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * remove assert in ggml-cuda.cu Co-authored-by: Johannes Gäßler <johannesg@5d6.de> --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
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co-authored by
Johannes Gäßler
parent
06938ac129
commit
f8f0a47a55
@@ -537,6 +537,41 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
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return BEST_FATTN_KERNEL_TILE;
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}
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size_t ggml_cuda_flash_attn_ext_get_alloc_size(int device, const ggml_tensor * dst) {
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GGML_ASSERT(dst->op == GGML_OP_FLASH_ATTN_EXT);
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const ggml_tensor * K = dst->src[1];
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const ggml_tensor * V = dst->src[2];
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GGML_ASSERT(K != nullptr);
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GGML_ASSERT(V != nullptr);
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const best_fattn_kernel kernel = ggml_cuda_get_best_fattn_kernel(device, dst);
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bool need_f16_K = false;
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bool need_f16_V = false;
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switch (kernel) {
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case BEST_FATTN_KERNEL_TILE:
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case BEST_FATTN_KERNEL_WMMA_F16:
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case BEST_FATTN_KERNEL_MMA_F16:
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need_f16_K = true;
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need_f16_V = true;
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break;
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case BEST_FATTN_KERNEL_VEC:
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need_f16_K = K->type == GGML_TYPE_F32;
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need_f16_V = V->type == GGML_TYPE_F32;
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break;
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case BEST_FATTN_KERNEL_NONE:
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break;
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}
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const ggml_cuda_flash_attn_ext_f16_extra_data f16_extra =
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ggml_cuda_flash_attn_ext_get_f16_extra_data(dst, need_f16_K, need_f16_V);
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return f16_extra.end - (uintptr_t) dst->data;
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}
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void ggml_cuda_flash_attn_ext(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
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ggml_cuda_set_device(ctx.device);
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switch (ggml_cuda_get_best_fattn_kernel(ggml_cuda_get_device(), dst)) {
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