/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserved. 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 { /** * @brief A subclass of MKLDNNLayer Addto layer. * * The config file api is mkldnn_addto */ class MKLDNNAddtoLayer : public MKLDNNLayer { protected: // layer size == ic * ih * iw == oc * oh *ow, and can not be changed size_t layerSize_; std::unique_ptr biases_; // buffers for adding bias std::vector vals_; std::vector grads_; // primitives for adding bias std::vector> fwdBias_; std::shared_ptr bwdBias_; public: explicit MKLDNNAddtoLayer(const LayerConfig& config) : MKLDNNLayer(config) {} ~MKLDNNAddtoLayer() {} 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, std::vector& inputs, MKLDNNMatrixPtr& out) override; void resetBwd(std::vector& pipeline, std::vector& inputs, MKLDNNMatrixPtr& out) override; void updateWeights(const UpdateCallback& callback) override; protected: void resetFwdBuffers(std::vector& inputs, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); void resetFwdPD(std::shared_ptr& pd, std::shared_ptr& biasPD, std::vector& inputs, MKLDNNMatrixPtr bias, MKLDNNMatrixPtr out); void resetFwdPipeline(std::vector& pipeline, std::shared_ptr& pd, std::shared_ptr& biasPD, std::vector& inputs, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); void resetBwdBuffers(std::vector& inputs, MKLDNNMatrixPtr& bias, MKLDNNMatrixPtr& out); void prepareBias(MKLDNNMatrixPtr& bias, const MatrixPtr& biasMat, const MKLDNNMatrixPtr& out, std::vector& outs); }; } // namespace paddle