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68 lines
2.4 KiB
68 lines
2.4 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <vector>
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#include "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/platform/device_context.h"
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#include "paddle/fluid/platform/hostdevice.h"
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namespace paddle {
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namespace operators {
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namespace math {
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/*
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* \brief Compute the depthwise convolution which include
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* forward process and backpropagation process
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*/
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template <typename DeviceContext, typename T,
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bool fuse_relu_before_conv = false>
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class DepthwiseConvFunctor {
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public:
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void operator()(const DeviceContext& context, const framework::Tensor& input,
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const framework::Tensor& filter,
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const std::vector<int>& strides,
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const std::vector<int>& paddings,
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const std::vector<int>& dilations, framework::Tensor* output);
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};
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template <typename DeviceContext, typename T,
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bool fuse_relu_before_conv = false>
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class DepthwiseConvInputGradFunctor {
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public:
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void operator()(const DeviceContext& context, const framework::Tensor& input,
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const framework::Tensor& filter,
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const framework::Tensor& output_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::vector<int>& dilations,
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framework::Tensor* input_grad);
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};
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template <typename DeviceContext, typename T,
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bool fuse_relu_before_conv = false>
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class DepthwiseConvFilterGradFunctor {
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public:
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void operator()(const DeviceContext& context, const framework::Tensor& input,
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const framework::Tensor& output_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::vector<int>& dilations,
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framework::Tensor* filter_grad);
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};
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} // namespace math
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} // namespace operators
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} // namespace paddle
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