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254 lines
8.2 KiB
254 lines
8.2 KiB
/* 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::convolution_forward conv_fwd;
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typedef mkldnn::convolution_backward_weights conv_bwdWgt;
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typedef mkldnn::convolution_backward_data conv_bwdData;
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/**
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* @brief A subclass of MKLDNNLayer conv layer.
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*
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* The config file api is mkldnn_conv
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*/
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class MKLDNNConvLayer : 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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// dilation height and width
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int dh_, dw_;
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// filter(kenerl) height and width
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int fh_, fw_;
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// group number
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int gp_;
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// in resetBwdData, the format of wgtValBwdData_ is different with wgtVal_
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MKLDNNMatrixPtr wgtValBwdData_;
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// convert handle from wgtVal_ to wgtValBwdData_
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std::shared_ptr<mkldnn::reorder> cvtWgtVal_;
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// save forward primitive_desc, which can be used backward
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std::shared_ptr<conv_fwd::primitive_desc> fwdPD_;
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// MKLDNNMatrixPtr which should be created from CPU Device
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MKLDNNMatrixPtr cpuInVal_;
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MKLDNNMatrixPtr cpuInGrad_;
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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> cvtInVal_;
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std::shared_ptr<mkldnn::reorder> cvtInGrad_;
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std::shared_ptr<mkldnn::reorder> cvtOutVal_;
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std::shared_ptr<mkldnn::reorder> cvtOutGrad_;
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// whether the weight has been init
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bool hasInitedWgt_;
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// true by default, which impact the calculation of output image size.
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// details can refer to mathUtil.h
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bool caffeMode_;
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// weight and bias
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std::unique_ptr<Weight> weight_;
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std::unique_ptr<Weight> biases_;
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public:
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explicit MKLDNNConvLayer(const LayerConfig& config)
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: MKLDNNLayer(config), hasInitedWgt_(false), caffeMode_(true) {}
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~MKLDNNConvLayer() {}
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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 updateWeights(const UpdateCallback& callback) override;
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void convertWeightsFromPaddle() override;
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void convertWeightsToPaddle() 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_ << ", dh: " << dh_ << ", dw: " << dw_;
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}
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void printValueFormatFlow() override {
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if (cpuInVal_) {
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VLOG(MKLDNN_FMTS) << cpuInVal_->getFormat() << " >>>";
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}
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MKLDNNLayer::printValueFormatFlow();
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if (cpuOutVal_) {
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VLOG(MKLDNN_FMTS) << " >>> " << cpuOutVal_->getFormat();
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}
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}
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void printGradFormatFlow() override {
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if (cpuInGrad_) {
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VLOG(MKLDNN_FMTS) << cpuInGrad_->getFormat() << " <<<";
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}
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MKLDNNLayer::printGradFormatFlow();
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if (cpuOutGrad_) {
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VLOG(MKLDNN_FMTS) << " <<< " << cpuOutGrad_->getFormat();
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}
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}
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protected:
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/**
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* load the dims settings of this conv
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*/
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void loadConvSettings(mkldnn::memory::dims& wgt,
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mkldnn::memory::dims& bias,
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mkldnn::memory::dims& stride,
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mkldnn::memory::dims& dilation,
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mkldnn::memory::dims& padL,
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mkldnn::memory::dims& padR);
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/**
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* reset the forward primitive descriptor.
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*/
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void resetFwdPD(std::shared_ptr<conv_fwd::primitive_desc>& pd);
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/**
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* reset the MKLDNNMatrix buffers used in forward.
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*/
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void resetFwdBuffers(std::shared_ptr<conv_fwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias,
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MKLDNNMatrixPtr& out);
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/**
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* reset the forward pipeline.
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*/
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void resetFwdPipeline(std::vector<mkldnn::primitive>& pipeline,
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std::shared_ptr<conv_fwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias,
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MKLDNNMatrixPtr& out);
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/**
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* reset MKLDNNMatrix of input value
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*/
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void resetInValue(std::shared_ptr<conv_fwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& in);
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/**
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* reset MKLDNNMatrix of weight and bias value
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*/
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void resetWgtBiasValue(std::shared_ptr<conv_fwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias);
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/**
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* reset MKLDNNMatrix of output value
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*/
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void resetOutValue(std::shared_ptr<conv_fwd::primitive_desc>& pd,
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MKLDNNMatrixPtr& out);
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/**
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* reset the backward weight primitive descriptor.
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*/
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void resetBwdWgtPD(std::shared_ptr<conv_bwdWgt::primitive_desc>& pd);
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/**
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* reset the backward data primitive descriptor.
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*/
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void resetBwdDataPD(std::shared_ptr<conv_bwdData::primitive_desc>& pd);
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/**
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* reset the MKLDNNMatrix buffers used in backward.
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*/
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void resetBwdBuffers(std::shared_ptr<conv_bwdWgt::primitive_desc>& wgtPD,
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std::shared_ptr<conv_bwdData::primitive_desc>& dataPD,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias,
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MKLDNNMatrixPtr& out);
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/**
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* reset the backward pipeline.
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*/
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void resetBwdPipeline(std::vector<mkldnn::primitive>& pipeline,
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std::shared_ptr<conv_bwdWgt::primitive_desc>& wgtPD,
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std::shared_ptr<conv_bwdData::primitive_desc>& dataPD,
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MKLDNNMatrixPtr& in,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias,
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MKLDNNMatrixPtr& out);
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/**
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* reset MKLDNNMatrix of output grad
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*/
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void resetOutGrad(std::shared_ptr<conv_bwdWgt::primitive_desc>& wgtPD,
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MKLDNNMatrixPtr& out);
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/**
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* reset MKLDNNMatrix of weight and bias grad
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*/
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void resetWgtBiasGrad(std::shared_ptr<conv_bwdWgt::primitive_desc>& wgtPD,
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MKLDNNMatrixPtr& wgt,
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MKLDNNMatrixPtr& bias);
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/**
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* reset MKLDNNMatrix of input grad
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*/
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void resetInGrad(std::shared_ptr<conv_bwdData::primitive_desc>& dataPD,
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MKLDNNMatrixPtr& in);
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/**
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* reset MKLDNNMatrix of weight value for backward data
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* since the primitive_desc would be different with wgtVal_
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*/
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void resetWgtValBwdData(std::shared_ptr<conv_bwdData::primitive_desc>& dataPD,
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MKLDNNMatrixPtr& wgt);
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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_convolution_forward_common.hpp
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* @note: mkldnn dilation start from 0 while paddle start from 1
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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_ - ((fh_ - 1) * dh_ + 1) + ph_ + padR[0]) / sh_ + 1 != oh_) {
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++padR[0];
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}
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if ((iw_ - ((fw_ - 1) * dw_ + 1) + pw_ + padR[1]) / 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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