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Fix depthwise conv bug #41537

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merged 2 commits into from
Apr 9, 2022
Merged

Fix depthwise conv bug #41537

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0ce848f
add depthwise conv hip support
phlrain Apr 8, 2022
527f133
Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into…
phlrain Apr 8, 2022
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40 changes: 40 additions & 0 deletions paddle/phi/kernels/gpudnn/conv_grad_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -626,6 +626,39 @@ void Conv3DCudnnGradKernel(const Context& dev_ctx,
filter_grad);
}

template <typename T, typename Context>
void DepthwiseConvCudnnGradKernel(const Context& dev_ctx,
const DenseTensor& input,
const DenseTensor& filter,
const DenseTensor& out_grad,
const std::vector<int>& strides,
const std::vector<int>& paddings,
const std::string& paddding_algorithm,
int groups,
const std::vector<int>& dilations,
const std::string& data_format,
bool use_addto,
int workspace_size_MB,
bool exhaustive_search,
DenseTensor* input_grad,
DenseTensor* filter_grad) {
ConvCudnnGradKernel<T>(dev_ctx,
input,
filter,
out_grad,
strides,
paddings,
paddding_algorithm,
groups,
dilations,
data_format,
use_addto,
workspace_size_MB,
exhaustive_search,
input_grad,
filter_grad);
}

} // namespace phi

#ifdef PADDLE_WITH_HIP
Expand All @@ -642,6 +675,13 @@ PD_REGISTER_KERNEL(conv3d_grad,
phi::Conv3DCudnnGradKernel,
float,
phi::dtype::float16) {}

PD_REGISTER_KERNEL(depthwise_conv2d_grad,
GPUDNN,
ALL_LAYOUT,
phi::DepthwiseConvCudnnGradKernel,
float,
phi::dtype::float16) {}
#else
#if CUDNN_VERSION_MIN(8, 1, 0)
PD_REGISTER_KERNEL(conv2d_grad,
Expand Down
37 changes: 37 additions & 0 deletions paddle/phi/kernels/gpudnn/conv_kernel.cu
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -418,6 +418,35 @@ void Conv3DCudnnKernel(const Context& dev_ctx,
out);
}

template <typename T, typename Context>
void DepthwiseConvCudnnKernel(const Context& dev_ctx,
const DenseTensor& input,
const DenseTensor& filter,
const std::vector<int>& strides,
const std::vector<int>& paddings,
const std::string& padding_algorithm,
int groups,
const std::vector<int>& dilations,
const std::string& data_format,
bool use_addto,
int workspace_size_MB,
bool exhaustive_search,
DenseTensor* out) {
ConvCudnnKernel<T>(dev_ctx,
input,
filter,
strides,
paddings,
padding_algorithm,
groups,
dilations,
data_format,
use_addto,
workspace_size_MB,
exhaustive_search,
out);
}

} // namespace phi

#ifdef PADDLE_WITH_HIP
Expand All @@ -434,6 +463,14 @@ PD_REGISTER_KERNEL(conv3d,
phi::Conv3DCudnnKernel,
float,
phi::dtype::float16) {}

PD_REGISTER_KERNEL(depthwise_conv2d,
GPUDNN,
ALL_LAYOUT,
phi::DepthwiseConvCudnnKernel,
float,
phi::dtype::float16) {}

#else
#if CUDNN_VERSION_MIN(8, 1, 0)
PD_REGISTER_KERNEL(conv2d,
Expand Down