text: /* 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_DWCONVBNRELU_OP
  
  #pragma once
  
  #include <string>
  #include <vector>
  #include "framework/operator.h"
  #include "framework/program/program-optimize/fusion_op_register.h"
  #include "op_param.h"
  #include "operators/kernel/dwconv_bn_relu_kernel.h"
  
  namespace paddle_mobile {
  namespace operators {
  using std::string;
  using std::vector;
  class FusionDWConvBNReluMatcher : public framework::FusionOpMatcher {
   public:
    FusionDWConvBNReluMatcher() {
      node_ = framework::Node(G_OP_TYPE_DEPTHWISE_CONV);
      node_ > std::make_shared<framework::Node>(G_OP_TYPE_BATCHNORM) >
          std::make_shared<framework::Node>(G_OP_TYPE_RELU);
    }
  
    void FolderNodes(
        framework::Node *node,
        std::vector<std::shared_ptr<framework::Node>> *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_DWCONV_BN_RELU; }
  };
  
  template <typename DeviceType, typename T>
  class FusionDWConvBNReluOp
      : public framework::OperatorWithKernel<
            DeviceType, FusionDWConvBNReluParam<DeviceType>,
            operators::DWConvBNReluKernel<DeviceType, T>> {
   public:
    FusionDWConvBNReluOp(const string &type, const VariableNameMap &inputs,
                         const VariableNameMap &outputs,
                         const framework::AttributeMap &attrs,
                         std::shared_ptr<framework::Scope> scope)
        : framework::OperatorWithKernel<
              DeviceType, FusionDWConvBNReluParam<DeviceType>,
              operators::DWConvBNReluKernel<DeviceType, T>>(type, inputs, outputs,
                                                            attrs, scope) {}
  
    using framework::OperatorWithKernel<
        DeviceType, FusionDWConvBNReluParam<DeviceType>,
        operators::DWConvBNReluKernel<DeviceType, T>>::OperatorWithKernel;
    void InferShape() const override;
  
   protected:
  };
  
  }  // namespace operators
  }  // namespace paddle_mobile
  
  #endif
  