Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into op_transpose
xzl
8 years ago
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/* Copyright (c) 2017 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 "MKLDNNLayer.h"
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#include "mkldnn.hpp"
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namespace paddle {
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typedef mkldnn::pooling_forward pool_fwd;
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typedef mkldnn::pooling_backward pool_bwd;
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/**
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* @brief A subclass of MKLDNNLayer pool layer.
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*
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* The config file api is mkldnn_pool
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*/
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class MKLDNNPoolLayer : public MKLDNNLayer {
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protected:
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// padding height and width
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int ph_, pw_;
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// stride height and width
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int sh_, sw_;
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// filter(kenerl) height and width
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int fh_, fw_;
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// pooling_avg or pooling_max
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mkldnn::algorithm poolAlgo_;
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// MKLDNNMatrixPtr which should be created from CPU Device
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MKLDNNMatrixPtr cpuOutVal_;
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MKLDNNMatrixPtr cpuOutGrad_;
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// convert handle between CPU device and MKLDNN device
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std::shared_ptr<mkldnn::reorder> cvtOutVal_;
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std::shared_ptr<mkldnn::reorder> cvtOutGrad_;
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// save forward primitive_desc, which can be used backward
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std::shared_ptr<pool_fwd::primitive_desc> fwdPD_;
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// according to https://github.com/01org/mkl-dnn/blob/master/tests/gtests/
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// test_pooling_forward.cpp, pool need workspace for backward
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std::shared_ptr<mkldnn::memory> workspace_;
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public:
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explicit MKLDNNPoolLayer(const LayerConfig& config) : MKLDNNLayer(config) {}
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~MKLDNNPoolLayer() {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void reshape(
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int& bs, int& ic, int& ih, int& iw, int oc, int& oh, int& ow) override;
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void resetFwd(std::vector<mkldnn::primitive>& pipeline,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias,
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MKLDNNMatrixPtr& out) override;
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void resetBwd(std::vector<mkldnn::primitive>& pipeline,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias,
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MKLDNNMatrixPtr& out) override;
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void updateInputData() override;
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void printSizeInfo() override {
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MKLDNNLayer::printSizeInfo();
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VLOG(MKLDNN_SIZES) << getName() << ": fh: " << fh_ << ", fw: " << fw_
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<< ": ph: " << ph_ << ", pw: " << pw_ << ", sh: " << sh_
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<< ", sw: " << sw_;
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}
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protected:
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/**
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* Forward functions: reset buffers(input, output),
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* reset primitive descriptor,
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* reset pipeline.
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*/
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void resetFwdBuffers(MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& out);
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void resetInValue(MKLDNNMatrixPtr& in);
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void resetOutValue(MKLDNNMatrixPtr& out);
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void resetFwdPD(std::shared_ptr<pool_fwd::primitive_desc>& pd,
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MKLDNNMatrixPtr in,
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MKLDNNMatrixPtr out);
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void resetFwdPipeline(std::vector<mkldnn::primitive>& pipeline,
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std::shared_ptr<pool_fwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& out);
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/**
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* Backward functions: reset buffers(input, output),
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* reset primitive descriptor,
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* reset pipeline.
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*/
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void resetBwdBuffers(MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& out);
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void resetOutGrad(MKLDNNMatrixPtr& out);
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void resetInGrad(MKLDNNMatrixPtr& in);
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void resetBwdPD(std::shared_ptr<pool_bwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& out);
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void resetBwdPipeline(std::vector<mkldnn::primitive>& pipeline,
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std::shared_ptr<pool_bwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& out);
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/**
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* get padding_r according to
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* https://github.com/01org/mkl-dnn/blob/master/tests/gtests/
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* test_pooling_forward.cpp
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*/
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mkldnn::memory::dims getPaddingR() const {
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mkldnn::memory::dims padR = {ph_, pw_};
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for (int i = 0; i < 2; ++i) {
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if ((ih_ + ph_ + padR[0] - fh_) / sh_ + 1 < oh_) {
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++padR[0];
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}
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if ((iw_ + pw_ + padR[1] - fw_) / sw_ + 1 < ow_) {
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++padR[1];
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}
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}
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return padR;
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}
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};
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} // namespace paddle
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