musa: refine compute capability (#12493)
* musa: refine compute capability Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Address review comments Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> --------- Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
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@@ -28,7 +28,7 @@ void ggml_cuda_op_mul_mat_q(
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// Also its fixup needs to allocate a temporary buffer in the memory pool.
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// There are multiple parallel CUDA streams for src1_ncols != ne11 which would introduce a race condition for this buffer.
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const bool use_stream_k = ggml_cuda_highest_compiled_arch(cc) >= GGML_CUDA_CC_VOLTA &&
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cc < GGML_CUDA_CC_OFFSET_AMD && src1_ncols == ne11;
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GGML_CUDA_CC_IS_NVIDIA(cc) && src1_ncols == ne11;
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const mmq_args args = {src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stride00, src1_padded_row_size, src1_ncols, ne11, nrows_dst, use_stream_k};
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switch (src0->type) {
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@@ -145,7 +145,7 @@ bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11) {
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return true;
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#endif //GGML_CUDA_FORCE_MMQ
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if (cc < GGML_CUDA_CC_OFFSET_AMD) {
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if (GGML_CUDA_CC_IS_NVIDIA(cc)) {
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return !fp16_mma_hardware_available(cc) || ne11 < MMQ_DP4A_MAX_BATCH_SIZE;
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}
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