/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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. */ #pragma once #include "paddle/framework/eigen.h" #include "paddle/framework/tensor.h" #include "paddle/platform/device_context.h" #include "paddle/platform/hostdevice.h" namespace paddle { namespace operators { namespace math { ////////////////////// #define FLT_MAX __FLT_MAX__ // template class MaxPool { public: DEVICE inline T initial() { return static_cast(-FLT_MAX); } DEVICE inline void compute(T& y, const T& x) { y = y > x ? y : x; } DEVICE inline void finalize(T& y, const T& poo_size) {} }; template class AvgPool { public: DEVICE inline T initial() { return static_cast(0); } DEVICE inline void compute(T& y, const T& x) { y += x; } DEVICE inline void finalize(T& y, const T& poo_size) { y /= poo_size; } }; template class MaxPoolGrad { public: DEVICE inline void compute(const T& x, const T& y, const T& dy, T& dx, T scale) { dx += dy * (x == y); } }; template class AvgPoolGrad { public: DEVICE inline void compute(const T& x, const T& y, const T& dy, T& dx, T scale) { dx += (scale * dy); } }; template class Pool2dFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& output, std::vector& ksize, std::vector& strides, std::vector& paddings, PoolProcess pool_compute); }; template class Pool2dGradFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& input_grad, const framework::Tensor& output, const framework::Tensor& output_grad, std::vector& ksize, std::vector& strides, std::vector& paddings, PoolProcess pool_compute); }; template class MaxPool2dGradFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& input_grad, const framework::Tensor& output, const framework::Tensor& output_grad, std::vector& ksize, std::vector& strides, std::vector& paddings); }; template class Pool3dFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& output, std::vector& ksize, std::vector& strides, std::vector& paddings, PoolProcess pool_compute); }; template class Pool3dGradFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& input_grad, const framework::Tensor& output, const framework::Tensor& output_grad, std::vector& ksize, std::vector& strides, std::vector& paddings, PoolProcess pool_compute); }; template class MaxPool3dGradFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& input_grad, const framework::Tensor& output, const framework::Tensor& output_grad, std::vector& ksize, std::vector& strides, std::vector& paddings); }; template class MaxPool2dWithIndexFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& output, framework::Tensor& mask, std::vector& ksize, std::vector& strides, std::vector& paddings); }; template class MaxPool2dWithIndexGradFunctor { public: void operator()(const platform::DeviceContext& context, framework::Tensor& input_grad, const framework::Tensor& output_grad, const framework::Tensor& mask, std::vector& ksize, std::vector& strides, std::vector& paddings); }; template class MaxPool3dWithIndexFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& output, framework::Tensor& mask, std::vector& ksize, std::vector& strides, std::vector& paddings); }; template class MaxPool3dWithIndexGradFunctor { public: void operator()(const platform::DeviceContext& context, framework::Tensor& input_grad, const framework::Tensor& output_grad, const framework::Tensor& mask, std::vector& ksize, std::vector& strides, std::vector& paddings); }; } // namespace math } // namespace operators } // namespace paddle