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fix matmul crash

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This commit is contained in:
Yuantao Feng 2024-08-15 16:10:40 +08:00
parent 315f85d4f4
commit 93e0c7e53f
2 changed files with 26 additions and 22 deletions
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44
modules/dnn/src/cuda4dnn/csl/cublas.hpp
View File

@ -425,8 +425,8 @@ namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace cu
const auto batch_count = static_cast<int>(batchCount);
AutoBuffer<half> buffer(3 * batch_count);
auto A_slices = (half**)(buffer.data());
AutoBuffer<half*> buffer(3 * batch_count);
auto A_slices = buffer.data();
auto B_slices = A_slices + batch_count;
auto C_slices = B_slices + batch_count;
// collect A, B and C slices
@ -438,18 +438,18 @@ namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace cu
const half **dev_A_slices = 0, **dev_B_slices = 0;
half **dev_C_slices = 0;
cudaMalloc((void**)&dev_A_slices, batch_count * sizeof(half*));
cudaMalloc((void**)&dev_B_slices, batch_count * sizeof(half*));
cudaMalloc((void**)&dev_C_slices, batch_count * sizeof(half*));
cudaMemcpy(dev_A_slices, A_slices, batch_count * sizeof(half*), cudaMemcpyHostToDevice);
cudaMemcpy(dev_B_slices, B_slices, batch_count * sizeof(half*), cudaMemcpyHostToDevice);
cudaMemcpy(dev_C_slices, C_slices, batch_count * sizeof(half*), cudaMemcpyHostToDevice);
CUDA4DNN_CHECK_CUDA(cudaMalloc((void**)&dev_A_slices, batch_count * sizeof(half*)));
CUDA4DNN_CHECK_CUDA(cudaMalloc((void**)&dev_B_slices, batch_count * sizeof(half*)));
CUDA4DNN_CHECK_CUDA(cudaMalloc((void**)&dev_C_slices, batch_count * sizeof(half*)));
CUDA4DNN_CHECK_CUDA(cudaMemcpy(dev_A_slices, A_slices, batch_count * sizeof(half*), cudaMemcpyHostToDevice));
CUDA4DNN_CHECK_CUDA(cudaMemcpy(dev_B_slices, B_slices, batch_count * sizeof(half*), cudaMemcpyHostToDevice));
CUDA4DNN_CHECK_CUDA(cudaMemcpy(dev_C_slices, C_slices, batch_count * sizeof(half*), cudaMemcpyHostToDevice));
CUDA4DNN_CHECK_CUBLAS(cublasHgemmBatched(handle.get(), opa, opb, iM, iN, iK, &alpha, dev_A_slices, ilda, dev_B_slices, ildb, &beta, dev_C_slices, ildc, batch_count));
cudaFree(dev_A_slices);
cudaFree(dev_B_slices);
cudaFree(dev_C_slices);
CUDA4DNN_CHECK_CUDA(cudaFree(dev_A_slices));
CUDA4DNN_CHECK_CUDA(cudaFree(dev_B_slices));
CUDA4DNN_CHECK_CUDA(cudaFree(dev_C_slices));
}
template <> inline
@ -475,8 +475,8 @@ namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace cu
const auto batch_count = static_cast<int>(batchCount);
AutoBuffer<float> buffer(3 * batch_count);
auto A_slices = (float**)(buffer.data());
AutoBuffer<float*> buffer(3 * batch_count);
auto A_slices = buffer.data();
auto B_slices = A_slices + batch_count;
auto C_slices = B_slices + batch_count;
// collect A, B and C slices
@ -488,19 +488,19 @@ namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace cu
const float **dev_A_slices = 0, **dev_B_slices = 0;
float **dev_C_slices = 0;
cudaMalloc((void**)&dev_A_slices, batch_count * sizeof(float*));
cudaMalloc((void**)&dev_B_slices, batch_count * sizeof(float*));
cudaMalloc((void**)&dev_C_slices, batch_count * sizeof(float*));
cudaMemcpy(dev_A_slices, A_slices, batch_count * sizeof(float*), cudaMemcpyHostToDevice);
cudaMemcpy(dev_B_slices, B_slices, batch_count * sizeof(float*), cudaMemcpyHostToDevice);
cudaMemcpy(dev_C_slices, C_slices, batch_count * sizeof(float*), cudaMemcpyHostToDevice);
CUDA4DNN_CHECK_CUDA(cudaMalloc((void**)&dev_A_slices, batch_count * sizeof(float*)));
CUDA4DNN_CHECK_CUDA(cudaMalloc((void**)&dev_B_slices, batch_count * sizeof(float*)));
CUDA4DNN_CHECK_CUDA(cudaMalloc((void**)&dev_C_slices, batch_count * sizeof(float*)));
CUDA4DNN_CHECK_CUDA(cudaMemcpy(dev_A_slices, A_slices, batch_count * sizeof(float*), cudaMemcpyHostToDevice));
CUDA4DNN_CHECK_CUDA(cudaMemcpy(dev_B_slices, B_slices, batch_count * sizeof(float*), cudaMemcpyHostToDevice));
CUDA4DNN_CHECK_CUDA(cudaMemcpy(dev_C_slices, C_slices, batch_count * sizeof(float*), cudaMemcpyHostToDevice));
// cuBLAS is column-major
CUDA4DNN_CHECK_CUBLAS(cublasSgemmBatched(handle.get(), opa, opb, iM, iN, iK, &alpha, dev_A_slices, ilda, dev_B_slices, ildb, &beta, dev_C_slices, ildc, batch_count));
cudaFree(dev_A_slices);
cudaFree(dev_B_slices);
cudaFree(dev_C_slices);
CUDA4DNN_CHECK_CUDA(cudaFree(dev_A_slices));
CUDA4DNN_CHECK_CUDA(cudaFree(dev_B_slices));
CUDA4DNN_CHECK_CUDA(cudaFree(dev_C_slices));
}
}}}}} /* namespace cv::dnn::cuda4dnn::csl::cublas */

4
modules/dnn/test/test_onnx_importer.cpp
View File

@ -1002,6 +1002,10 @@ TEST_P(Test_ONNX_layers, MatMul_init_bcast)
testONNXModels("matmul_init_bcast");
}
TEST_P(Test_ONNX_layers, MatMul_bcast_3dx2d) {
testONNXModels("matmul_bcast");
}
TEST_P(Test_ONNX_layers, MatMulAdd)
{
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2022010000)