8000 cuda : add batched cuBLAS GEMM for faster attention by ggerganov · Pull Request #3749 · ggml-org/llama.cpp · GitHub
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cuda : add batched cuBLAS GEMM for faster attention #3749

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Merged
merged 10 commits into from
Oct 24, 2023
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cuda : add batched cuBLAS GEMM for faster attention #3749

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8fb1be6
cmake : add helper for faster CUDA builds
ggerganov Oct 23, 2023
6a30bf3
batched : add NGL arg
ggerganov Oct 23, 2023
8d8d54f
ggml : skip nops in compute_forward
ggerganov Oct 23, 2023
84d4ca0
cuda : minor indentation
ggerganov Oct 23, 2023
c13fcfb
cuda : batched cuBLAS GEMMs for src0 F16 and src1 F32 (attention ops)
ggerganov Oct 23, 2023
878aa4f
Apply suggestions from code review
KerfuffleV2 Oct 23, 2023
d415669
cuda : add ROCm / hipBLAS cublasGemmBatchedEx define
ggerganov Oct 23, 2023
3d297c1
cuda : add cublasGemmStridedBatchedEx for non-broadcasted cases
ggerganov Oct 24, 2023
27c34c0
cuda : reduce mallocs in cublasGemmBatchedEx branch
ggerganov Oct 24, 2023
d798a17
cuda : add TODO for calling cublas from kernel + using mem pool
ggerganov Oct 24, 2023
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cuda : add TODO for calling cublas from kernel + using mem pool
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@ggerganov
ggerganov committed Oct 24, 2023
commit d798a17c34f2326093d0cf2c0ea90b8fded15dc6
1 change: 1 addition & 0 deletions ggml-cuda.cu
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Expand Up @@ -7149,6 +7149,7 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const
CUBLAS_GEMM_DEFAULT_TENSOR_OP));
} else {
// use cublasGemmBatchedEx
// TODO: https://github.com/ggerganov/llama.cpp/pull/3749#discussion_r1369997000
const int ne23 = ne12*ne13;

// TODO: avoid this alloc
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