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100 lines
3.4 KiB
100 lines
3.4 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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 "paddle/framework/eigen.h"
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#include "paddle/framework/tensor.h"
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#include "paddle/platform/device_context.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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#ifdef __NVCC__
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#define HL_DEVICE __device__
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#else
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#define HL_DEVICE
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#endif
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#define FLT_MAX __FLT_MAX__
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/////////////////////
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namespace pool {
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template <class T>
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class maxPool {
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public:
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HL_DEVICE inline T initial() { return -(T)(FLT_MAX); }
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HL_DEVICE inline void process(T& y, const T& x) { y = y > x ? y : x; }
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HL_DEVICE inline void finalize(T& y, const T& poo_size) {}
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HL_DEVICE inline void gradProcess(const T& x, const T& y, const T& dy, T& dx,
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T scale) {
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dx += dy * (x == y);
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}
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};
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template <class T>
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class avePool {
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public:
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HL_DEVICE inline T initial() { return 0; }
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HL_DEVICE inline void process(T& y, const T& x) { y += x; }
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HL_DEVICE inline void finalize(T& y, const T& poo_size) { y /= poo_size; }
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HL_DEVICE inline void gradProcess(const T& x, const T& y, const T& dy, T& dx,
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T scale) {
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dx += (scale * dy);
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}
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};
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} // namespace pool
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template <typename Place, typename PoolProcess, typename T>
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class Pool2dForwardFunctor {
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public:
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void operator()(const framework::Tensor& input, framework::Tensor& output,
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std::vector<int>& ksize, std::vector<int>& strides,
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std::vector<int>& paddings, PoolProcess pool_process,
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platform::DeviceContext* context);
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};
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template <typename Place, typename PoolProcess, typename T>
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class Pool2dBackwardFunctor {
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public:
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void operator()(const framework::Tensor& input, framework::Tensor& input_grad,
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const framework::Tensor& output,
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const framework::Tensor& output_grad, std::vector<int>& ksize,
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std::vector<int>& strides, std::vector<int>& paddings,
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PoolProcess pool_process, platform::DeviceContext* context);
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};
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template <typename Place, typename PoolProcess, typename T>
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class Pool3dForwardFunctor {
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public:
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void operator()(const framework::Tensor& input, framework::Tensor& output,
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std::vector<int>& ksize, std::vector<int>& strides,
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std::vector<int>& paddings, PoolProcess pool_process,
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platform::DeviceContext* context);
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};
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template <typename Place, typename PoolProcess, typename T>
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class Pool3dBackwardFunctor {
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public:
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void operator()(const framework::Tensor& input, framework::Tensor& input_grad,
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const framework::Tensor& output,
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const framework::Tensor& output_grad, std::vector<int>& ksize,
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std::vector<int>& strides, std::vector<int>& paddings,
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PoolProcess pool_process, platform::DeviceContext* context);
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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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