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paddlepaddle--paddle/paddle/phi/kernels/cpu/conv_transpose_grad_kernel.cc
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/kernels/conv_transpose_grad_kernel.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/impl/conv_transpose_grad_kernel_impl.h"
namespace phi {
template <typename T, typename Context>
void DepthwiseConv2dTransposeGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& filter,
const DenseTensor& dout,
const std::vector<int>& strides,
const std::vector<int>& paddings,
const std::vector<int>& output_padding,
const IntArray& output_size,
const std::string& padding_algorithm,
int groups,
const std::vector<int>& dilations,
const std::string& data_format,
DenseTensor* dx,
DenseTensor* dfilter) {
ConvTransposeGradRawKernel<T, Context>(dev_ctx,
x,
filter,
dout,
strides,
paddings,
padding_algorithm,
groups,
dilations,
data_format,
dx,
dfilter);
}
} // namespace phi
PD_REGISTER_KERNEL(conv2d_transpose_grad,
CPU,
ALL_LAYOUT,
phi::Conv2dTransposeGradKernel,
float,
double) {}
PD_REGISTER_KERNEL(conv3d_transpose_grad,
CPU,
ALL_LAYOUT,
phi::Conv3dTransposeGradKernel,
float,
double) {}
PD_REGISTER_KERNEL(depthwise_conv2d_transpose_grad,
CPU,
ALL_LAYOUT,
phi::DepthwiseConv2dTransposeGradKernel,
float,
double) {}