wehub-resource-sync
138 lines
5.1 KiB
C++
138 lines
5.1 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/kernels/conv_grad_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/impl/conv_grad_kernel_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void DepthwiseConvGradKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& filter,
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const DenseTensor& out_grad,
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const std::vector<int>& strides,
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const std::vector<int>& paddings,
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const std::string& padding_algorithm,
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int groups,
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const std::vector<int>& dilations,
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const std::string& data_format,
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DenseTensor* input_grad,
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DenseTensor* filter_grad) {
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ConvGradKernel<T>(dev_ctx,
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input,
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filter,
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out_grad,
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strides,
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paddings,
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padding_algorithm,
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dilations,
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groups,
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data_format,
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input_grad,
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filter_grad);
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}
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template <typename T, typename Context>
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void Conv3DGradKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& filter,
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const DenseTensor& out_grad,
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const std::vector<int>& strides,
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const std::vector<int>& paddings,
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const std::string& padding_algorithm,
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int groups,
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const std::vector<int>& dilations,
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const std::string& data_format,
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DenseTensor* input_grad,
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DenseTensor* filter_grad) {
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ConvGradKernel<T>(dev_ctx,
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input,
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filter,
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out_grad,
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strides,
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paddings,
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padding_algorithm,
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dilations,
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groups,
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data_format,
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input_grad,
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filter_grad);
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}
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template <typename T, typename Context>
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void Conv3DDoubleGradKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& filter,
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const DenseTensor& out_grad,
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const optional<DenseTensor>& input_grad_grad,
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const optional<DenseTensor>& filter_grad_grad,
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const std::vector<int>& strides,
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const std::vector<int>& paddings_t,
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const std::string& padding_algorithm,
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int groups,
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const std::vector<int>& dilations_t,
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const std::string& data_format,
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DenseTensor* input_grad,
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DenseTensor* filter_grad,
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DenseTensor* out_grad_grad) {
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ConvGradGradKernel<T>(dev_ctx,
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input,
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filter,
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out_grad,
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input_grad_grad,
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filter_grad_grad,
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strides,
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paddings_t,
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padding_algorithm,
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dilations_t,
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groups,
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data_format,
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input_grad,
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filter_grad,
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out_grad_grad);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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conv2d_grad, CPU, ALL_LAYOUT, phi::ConvGradKernel, float, double) {}
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PD_REGISTER_KERNEL(depthwise_conv2d_grad,
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CPU,
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ALL_LAYOUT,
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phi::DepthwiseConvGradKernel,
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float,
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double) {}
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PD_REGISTER_KERNEL(
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conv3d_grad, CPU, ALL_LAYOUT, phi::Conv3DGradKernel, float, double) {}
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PD_REGISTER_KERNEL(conv2d_double_grad,
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CPU,
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ALL_LAYOUT,
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phi::ConvGradGradKernel,
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float,
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double) {}
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PD_REGISTER_KERNEL(conv3d_double_grad,
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CPU,
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ALL_LAYOUT,
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phi::Conv3DDoubleGradKernel,
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float,
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double) {}
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