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提交 944c9ec9 编写于 作者: V VectorSL
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gpu tensoradd add shape validation check

上级 d17d6126
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Showing with 57 addition and 61 deletion
mindspore/ccsrc/kernel/gpu/math/tensoradd_gpu_kernel.h
浏览文件 @ 944c9ec9
......@@ -86,6 +86,14 @@ class TensorAddGpuFwdKernel : public GpuKernel {
}
auto input_shape = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 0);
auto input_shapeB = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 1);
auto output_shape = AnfAlgo::GetOutputInferShape(kernel_node, 0);
if (input_shape != output_shape && input_shapeB != output_shape) {
MS_LOG(ERROR) << "Double-sided broadcast was not supported in cudnn of cudnnOpTensor:\n"
"InputA must match the corresponding dimension of the destination tensor outC, and each "
"dimension of the inputB"
"must match the corresponding dimension of outC or must be equal to 1.";
return false;
}
is_null_input_ = CHECK_NULL_INPUT(input_shape) || CHECK_NULL_INPUT(input_shapeB);
if (is_null_input_) {
MS_LOG(WARNING) << "TensorAddGpuFwdKernel input is null";
......
mindspore/ccsrc/kernel/gpu/nn/conv2d_gpu_kernel.h
浏览文件 @ 944c9ec9
......@@ -46,8 +46,6 @@ class Conv2dGpuFwdKernel : public GpuKernel {
pad_left_(0),
n_(0),
c_(0),
stride_(1),
dilation_(0),
group_(1),
is_null_input_(false),
input_size_(0),
......@@ -125,8 +123,8 @@ class Conv2dGpuFwdKernel : public GpuKernel {
pad_width_ = 0;
}
CHECK_CUDNN_RET_WITH_EXCEPT(
cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_, stride_, dilation_, dilation_,
CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_[2], stride_[3], dilation_[2],
dilation_[3], CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
input_descriptor_real = input_desc_;
}
......@@ -226,10 +224,10 @@ class Conv2dGpuFwdKernel : public GpuKernel {
CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetTensor4dDescriptor(padded_desc_, CUDNN_TENSOR_NCHW, cudnn_data_type_, n_, c_,
old_height_ + pad_height_, old_width_ + pad_width_),
"cudnnSetTensor4dDescriptor failed");
CHECK_CUDNN_RET_WITH_EXCEPT(
cudnnSetConvolution2dDescriptor(conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_, stride_,
dilation_, dilation_, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetConvolution2dDescriptor(
conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_[2], stride_[3],
dilation_[2], dilation_[3], CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
}
void Set4DDesc(const std::vector<size_t> &in_shape, const std::vector<size_t> &filter_shape,
......@@ -269,22 +267,20 @@ class Conv2dGpuFwdKernel : public GpuKernel {
}
}
void SetStrideAndDilation(const CNodePtr &kernel_node) {
auto stride_ori = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "stride");
auto dilation_ori = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "dilation");
if (stride_ori.size() != 4 || stride_ori[2] != stride_ori[3]) {
MS_LOG(EXCEPTION) << "conv2d only support equal stride, and stride must be 4d!";
stride_ = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "stride");
dilation_ = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "dilation");
if (stride_.size() != 4) {
MS_LOG(EXCEPTION) << "Conv2d's' stride must be 4d!";
}
if (stride_ori[0] != 1 || stride_ori[1] != 1) {
MS_LOG(EXCEPTION) << "conv2d stride only support 1 in N axis and C axis!";
if (stride_[0] != 1 || stride_[1] != 1) {
MS_LOG(EXCEPTION) << "Conv2d stride only support 1 in N axis and C axis!";
}
if (dilation_ori.size() != 4 || dilation_ori[2] != dilation_ori[3]) {
MS_LOG(EXCEPTION) << "conv2d only support equal dilation, and dilation must be 4d!";
if (dilation_.size() != 4) {
MS_LOG(EXCEPTION) << "Conv2d's dilation must be 4d!";
}
if (dilation_ori[0] != 1 || dilation_ori[1] != 1) {
MS_LOG(EXCEPTION) << "conv2d dilation only support 1 in N axis and C axis!";
if (dilation_[0] != 1 || dilation_[1] != 1) {
MS_LOG(EXCEPTION) << "Conv2d dilation only support 1 in N axis and C axis!";
}
stride_ = stride_ori[2];
dilation_ = dilation_ori[2];
}
cudnnHandle_t cudnn_handle_;
cudnnTensorDescriptor_t input_desc_;
......@@ -307,8 +303,8 @@ class Conv2dGpuFwdKernel : public GpuKernel {
int pad_left_;
int n_;
int c_;
int stride_;
int dilation_;
std::vector<int> stride_;
std::vector<int> dilation_;
int group_;
bool is_null_input_;
size_t input_size_;
......
mindspore/ccsrc/kernel/gpu/nn/conv2d_grad_filter_gpu_kernel.h
浏览文件 @ 944c9ec9
......@@ -46,8 +46,6 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
pad_left_(0),
n_(0),
c_(0),
stride_(1),
dilation_(0),
group_(1),
is_null_input_(false),
input_size_(0),
......@@ -128,8 +126,8 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
pad_width_ = 0;
}
CHECK_CUDNN_RET_WITH_EXCEPT(
cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_, stride_, dilation_, dilation_,
CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_[0], stride_[1], dilation_[2],
dilation_[3], CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"GetConvolution2dDescriptor failed");
x_desc_real = x_desc_;
}
......@@ -229,10 +227,10 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetTensor4dDescriptor(padded_descriptor_, CUDNN_TENSOR_NCHW, cudnn_data_type_, n_,
c_, old_height_ + pad_height_, old_width_ + pad_width_),
"cudnnSetTensor4dDescriptor failed");
CHECK_CUDNN_RET_WITH_EXCEPT(
cudnnSetConvolution2dDescriptor(conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_, stride_,
dilation_, dilation_, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetConvolution2dDescriptor(
conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_[0], stride_[1],
dilation_[2], dilation_[3], CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
}
void SelectAlgorithm(cudnnTensorDescriptor_t x_desc_real) {
if (group_ > 1 || CUDNN_MAJOR < 7) {
......@@ -277,19 +275,17 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
"SetTensor4dDescriptor failed");
}
void SetStrideAndDilation(const CNodePtr &kernel_node) {
auto stride_ori = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "stride");
auto dilation_ori = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "dilation");
if (stride_ori.size() != 2 || stride_ori[0] != stride_ori[1]) {
MS_LOG(EXCEPTION) << "ConvGradFilterGpuBkwKernel only support equal stride, and stride must be 2d!";
stride_ = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "stride");
dilation_ = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "dilation");
if (stride_.size() != 2) {
MS_LOG(EXCEPTION) << "ConvGradFilterGpuBkwKernel's stride must be 2d!";
}
if (dilation_ori.size() != 4 || dilation_ori[2] != dilation_ori[3]) {
MS_LOG(EXCEPTION) << "ConvGradFilterGpuBkwKernel only support equal dilation, and dilation must be 4d!";
if (dilation_.size() != 4) {
MS_LOG(EXCEPTION) << "ConvGradFilterGpuBkwKernel's dilation must be 4d!";
}
if (dilation_ori[0] != 1 || dilation_ori[1] != 1) {
if (dilation_[0] != 1 || dilation_[1] != 1) {
MS_LOG(EXCEPTION) << "ConvGradFilterGpuBkwKernel dilation only support 1 in N axis and C axis!";
}
stride_ = stride_ori[0];
dilation_ = dilation_ori[2];
}
cudnnHandle_t cudnn_handle_;
cudnnFilterDescriptor_t dw_desc_;
......@@ -312,8 +308,8 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
int pad_left_;
int n_;
int c_;
int stride_;
int dilation_;
std::vector<int> stride_;
std::vector<int> dilation_;
int group_;
bool is_null_input_;
size_t input_size_;
......
mindspore/ccsrc/kernel/gpu/nn/conv2d_grad_input_gpu_kernel.h
浏览文件 @ 944c9ec9
......@@ -46,8 +46,6 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
pad_left_(0),
n_(0),
c_(0),
stride_(1),
dilation_(0),
group_(1),
is_null_input_(false),
input_size_(0),
......@@ -84,7 +82,7 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
cudnnConvolutionBackwardData(cudnn_handle_, &alpha, w_desc_, w, dy_desc_, dy, conv_desc_, algo_, work_space,
workspace_size_, &beta, padded_descriptor_, padded),
"ConvolutionBackwardData failed");
CalPadGrad(padded_size_ / sizeof(T), padded, n_, c_, old_height_, old_width_, old_height_ + pad_height_,
CalPadGrad(input_size_ / sizeof(T), padded, n_, c_, old_height_, old_width_, old_height_ + pad_height_,
old_width_ + pad_width_, pad_top_, pad_left_, dx, reinterpret_cast<cudaStream_t>(stream_ptr));
} else {
CHECK_CUDNN_RET_WITH_EXCEPT(
......@@ -129,8 +127,8 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
pad_width_ = 0;
}
CHECK_CUDNN_RET_WITH_EXCEPT(
cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_, stride_, dilation_, dilation_,
CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_[0], stride_[1], dilation_[2],
dilation_[3], CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
dx_desc_real = dx_desc_;
}
......@@ -229,10 +227,10 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetTensor4dDescriptor(padded_descriptor_, CUDNN_TENSOR_NCHW, cudnn_data_type_, n_,
c_, old_height_ + pad_height_, old_width_ + pad_width_),
"cudnnSetTensor4dDescriptor failed");
CHECK_CUDNN_RET_WITH_EXCEPT(
cudnnSetConvolution2dDescriptor(conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_, stride_,
dilation_, dilation_, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetConvolution2dDescriptor(
conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_[0], stride_[1],
dilation_[2], dilation_[3], CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
"cudnnSetConvolution2dDescriptor failed");
}
void SelectAlgorithm(cudnnTensorDescriptor_t dx_desc_real) {
if (group_ > 1 || CUDNN_MAJOR < 7) {
......@@ -275,19 +273,17 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
"SetTensor4dDescriptor failed");
}
void SetStrideAndDilation(const CNodePtr &kernel_node) {
auto stride_ori = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "stride");
auto dilation_ori = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "dilation");
if (stride_ori.size() != 2 || stride_ori[0] != stride_ori[1]) {
MS_LOG(EXCEPTION) << "ConvGradInputGpuBkwKernel only support equal stride, and stride must be 2d!";
stride_ = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "stride");
dilation_ = AnfAlgo::GetNodeAttr<std::vector<int>>(kernel_node, "dilation");
if (stride_.size() != 2) {
MS_LOG(EXCEPTION) << "ConvGradInputGpuBkwKernel's stride must be 2d!";
}
if (dilation_ori.size() != 4 || dilation_ori[2] != dilation_ori[3]) {
MS_LOG(EXCEPTION) << "ConvGradInputGpuBkwKernel only support equal dilation, and dilation must be 4d!";
if (dilation_.size() != 4) {
MS_LOG(EXCEPTION) << "ConvGradInputGpuBkwKernel's dilation must be 4d!";
}
if (dilation_ori[0] != 1 || dilation_ori[1] != 1) {
if (dilation_[0] != 1 || dilation_[1] != 1) {
MS_LOG(EXCEPTION) << "ConvGradInputGpuBkwKernel dilation only support 1 in N axis and C axis!";
}
stride_ = stride_ori[0];
dilation_ = dilation_ori[2];
}
cudnnHandle_t cudnn_handle_;
cudnnFilterDescriptor_t w_desc_;
......@@ -309,8 +305,8 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
int pad_left_;
int n_;
int c_;
int stride_;
int dilation_;
std::vector<int> stride_;
std::vector<int> dilation_;
int group_;
bool is_null_input_;
size_t input_size_;
......
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