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74 lines
3.2 KiB
74 lines
3.2 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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Indicesou 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 <string>
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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#include "paddle/fluid/operators/math/unpooling.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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class UnpoolKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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const framework::Tensor* in_x = context.Input<framework::Tensor>("X");
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const framework::Tensor* in_y = context.Input<framework::Tensor>("Indices");
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auto* out = context.Output<framework::Tensor>("Out");
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std::string unpooling_type = context.Attr<std::string>("unpooling_type");
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std::vector<int> ksize = context.Attr<std::vector<int>>("ksize");
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std::vector<int> strides = context.Attr<std::vector<int>>("strides");
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std::vector<int> paddings = context.Attr<std::vector<int>>("paddings");
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T* output_data = out->mutable_data<T>(context.GetPlace());
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auto& dev_ctx = context.template device_context<DeviceContext>();
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if (output_data) {
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math::SetConstant<DeviceContext, T> set_zero;
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set_zero(dev_ctx, out, static_cast<T>(0));
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}
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math::Unpool2dMaxFunctor<DeviceContext, T> unpool2d_max_forward;
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unpool2d_max_forward(dev_ctx, *in_x, *in_y, out);
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}
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};
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template <typename DeviceContext, typename T>
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class UnpoolGradKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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const framework::Tensor* in_x = context.Input<framework::Tensor>("X");
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const framework::Tensor* in_y = context.Input<framework::Tensor>("Indices");
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const framework::Tensor* out = context.Input<framework::Tensor>("Out");
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const framework::Tensor* out_grad =
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context.Input<framework::Tensor>(framework::GradVarName("Out"));
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framework::Tensor* in_x_grad =
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context.Output<framework::Tensor>(framework::GradVarName("X"));
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std::string unpooling_type = context.Attr<std::string>("unpooling_type");
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std::vector<int> ksize = context.Attr<std::vector<int>>("ksize");
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std::vector<int> strides = context.Attr<std::vector<int>>("strides");
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std::vector<int> paddings = context.Attr<std::vector<int>>("paddings");
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auto& device_ctx = context.template device_context<DeviceContext>();
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math::SetConstant<DeviceContext, T> zero;
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in_x_grad->mutable_data<T>(context.GetPlace());
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zero(device_ctx, in_x_grad, static_cast<T>(0));
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math::Unpool2dMaxGradFunctor<DeviceContext, T> unpool2d_max_backward;
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unpool2d_max_backward(device_ctx, *in_x, *in_y, *out, *out_grad, in_x_grad);
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}
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};
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} // namespace operators
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} // namespace paddle
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