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CUDA: fix matrix multiplication algorithm choice (#8102)
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@ -1924,16 +1924,16 @@ static void ggml_cuda_mul_mat(ggml_backend_cuda_context & ctx, const ggml_tensor
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} else if (!split && any_gpus_with_slow_fp16 && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) {
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// FP32 precision KQV single-batch for batch size 1 without FlashAttention
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ggml_cuda_mul_mat_vec_nc(ctx, src0, src1, dst);
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} else if (!split && src0->type == GGML_TYPE_F16 && (src1->type == GGML_TYPE_F16 || !any_gpus_with_slow_fp16)
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&& !ggml_is_transposed(src0) && !ggml_is_transposed(src1) && src1->ne[2]*src1->ne[3] > 1) {
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// KQ + KQV multi-batch without FlashAttention
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ggml_cuda_mul_mat_batched_cublas(ctx, src0, src1, dst);
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} else if (use_dequantize_mul_mat_vec) {
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ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_dequantize_mul_mat_vec, nullptr);
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} else if (use_mul_mat_vec_q) {
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ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_vec_q, quantize_row_q8_1_cuda);
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} else if (use_mul_mat_q) {
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ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_q, quantize_mmq_q8_1_cuda);
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} else if (!split && src0->type == GGML_TYPE_F16 && (src1->type == GGML_TYPE_F16 || !any_gpus_with_slow_fp16)
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&& !ggml_is_transposed(src0) && !ggml_is_transposed(src1) && src1->ne[2]*src1->ne[3] > 1) {
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// KQ + KQV multi-batch without FlashAttention
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ggml_cuda_mul_mat_batched_cublas(ctx, src0, src1, dst);
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} else {
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ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_cublas, nullptr);
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}
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