/* 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 #include "Layer.h" #include "MkldnnBase.h" #include "mkldnn.hpp" namespace paddle { class MkldnnLayer; typedef std::shared_ptr MkldnnLayerPtr; /** * @brief Base class of Mkldnnlayer. * */ class MkldnnLayer : public Layer { protected: // batch size int bs_; // input image channel, height and width int ic_, ih_, iw_; // output image channel, height and width int oc_, oh_, ow_; // mkldnn engine, stream and primivtives mkldnn::engine engine_; std::shared_ptr stream_; std::shared_ptr fwd_; std::vector pipelineFwd_; std::vector pipelineBwd_; public: explicit MkldnnLayer(const LayerConfig& config) : Layer(config), bs_(0), ic_(0), ih_(0), iw_(0), oc_(0), oh_(0), ow_(0), engine_(mkldnn::engine::cpu, 0), stream_(nullptr) {} ~MkldnnLayer() {} virtual bool init(const LayerMap& layerMap, const ParameterMap& parameterMap); void resetForwardFC(int bs, int ic, int ih, int iw, real* botData, int oc, real* topData, real* wgtData, real* biasData); void mkldnnForwardFC(int bs, int ic, int ih, int iw, real* botData, int oc, real* topData, real* wgtData, real* biasData); // TODO(TJ): move to MkldnnMatrix // create memory desc inline mkldnn::memory::desc createMD( mkldnn::memory::dims dims, mkldnn::memory::format fmt, mkldnn::memory::data_type type = mkldnn::memory::data_type::f32); }; } // namespace paddle