/* Copyright (c) 2017 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 "MKLDNNLayer.h" #include "mkldnn.hpp" namespace paddle { typedef mkldnn::inner_product_forward fc_fwd; typedef mkldnn::inner_product_backward_weights fc_bwdWgt; typedef mkldnn::inner_product_backward_data fc_bwdData; /** * @brief A subclass of MKLDNNLayer fc layer. * * The config file api is mkldnn_fc */ class MKLDNNFcLayer : public MKLDNNLayer { protected: // input layer size, can not be change after init size_t iLayerSize_; // == ic * ih * iw // if has already init the weight bool hasInitedWgt_; // save forward primitive_desc, which can be used backward std::shared_ptr fwdPD_; // fc weight and bias std::unique_ptr weight_; std::unique_ptr biases_; public: explicit MKLDNNFcLayer(const LayerConfig& config) : MKLDNNLayer(config), hasInitedWgt_(false) {} ~MKLDNNFcLayer() {} bool init(const LayerMap& layerMap, const ParameterMap& parameterMap) override; void reshape( int& bs, int& ic, int& ih, int& iw, int oc, int& oh, int& ow) override; void resetFwd(std::vector& pipeline, MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out) override; void resetBwd(std::vector& pipeline, MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out) override; void updateInputData() override; void updateWeights(const UpdateCallback& callback) override; void convertWeightsFromPaddle() override; void convertWeightsToPaddle() override; protected: /** * Forward functions: reset buffers(input, output, weight and bias), * reset primitive descriptor, * reset pipeline. */ void resetFwdBuffers(MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); void resetInValue(MKLDNNMatrixPtr& in); void resetWgtBiasValue(MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias); void resetOutValue(MKLDNNMatrixPtr& out); void resetFwdPD(std::shared_ptr& pd, MKLDNNMatrixPtr in, MKLDNNMatrixPtr wgt, MKLDNNMatrixPtr bias, MKLDNNMatrixPtr out); void resetFwdPipeline(std::vector& pipeline, std::shared_ptr& pd, MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); /** * Backward functions: reset buffers(input, output, weight and bias), * reset primitive descriptor for backward weight, * reset primitive descriptor for backward data, * reset pipeline. */ void resetBwdBuffers(MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); void resetOutGrad(MKLDNNMatrixPtr& out); void resetWgtBiasGrad(MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias); void resetInGrad(MKLDNNMatrixPtr& in); void resetBwdWgtPD(std::shared_ptr& pd, MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); void resetBwdDataPD(std::shared_ptr& pd, MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& out); void resetBwdPipeline(std::vector& pipeline, std::shared_ptr& bwdWgtPD, std::shared_ptr& bwdDataPD, MKLDNNMatrixPtr& in, MKLDNNMatrixPtr& wgt, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); }; } // namespace paddle