/* Copyright (c) 2018 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. */ #ifdef FUSION_CONVBN_OP #pragma once #include #include #include "framework/operator.h" #include "framework/program/program-optimize/fusion_op_register.h" #include "operators/kernel/conv_bn_kernel.h" #include "operators/op_param.h" namespace paddle_mobile { namespace operators { using std::string; using std::vector; class FusionConvBNMatcher : public framework::FusionOpMatcher { public: FusionConvBNMatcher() { node_ = framework::Node(G_OP_TYPE_CONV); node_ > std::make_shared(G_OP_TYPE_BATCHNORM); } void FolderNodes( framework::Node *node, std::vector> *removed_nodes) { node->Folder(node_.Depth(), Type(), {{G_OP_TYPE_BATCHNORM, {{"Scale", "Scale"}, {"Mean", "Mean"}, {"Bias", "Bias"}, {"Variance", "Variance"}}}}, removed_nodes); } std::string Type() { return G_OP_TYPE_FUSION_CONV_BN; } }; template class FusionConvBNOp : public framework::OperatorWithKernel< DeviceType, FusionConvBNParam, operators::ConvBNKernel> { public: FusionConvBNOp(const string &type, const VariableNameMap &inputs, const VariableNameMap &outputs, const framework::AttributeMap &attrs, std::shared_ptr scope) : framework::OperatorWithKernel, operators::ConvBNKernel>( type, inputs, outputs, attrs, scope) {} void InferShape() const override; protected: }; } // namespace operators } // namespace paddle_mobile #endif