text: /**
   * Copyright 2020 Huawei Technologies Co., Ltd
   *
   * 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.
   */
  
  #ifndef MINDSPORE_LITE_TOOLS_OPTIMIZER_FUSION_LAYER_NORM_FUSION_H_
  #define MINDSPORE_LITE_TOOLS_OPTIMIZER_FUSION_LAYER_NORM_FUSION_H_
  
  #include <vector>
  #include <memory>
  #include <string>
  #include "backend/optimizer/common/optimizer.h"
  #include "utils/utils.h"
  
  namespace mindspore {
  namespace opt {
  
  class LayerNormFusion : public PatternProcessPass {
   public:
    explicit LayerNormFusion(const std::string &name = "layer_norm_fusion", bool multigraph = true)
        : PatternProcessPass(name, multigraph) {
      input_ = std::make_shared<Var>();
      gamma_ = std::make_shared<Var>();
      beta_ = std::make_shared<Var>();
      epsilon_ = std::make_shared<Var>();
    }
  
    ~LayerNormFusion() override = default;
    const BaseRef DefinePattern() const override;
    const AnfNodePtr Process(const FuncGraphPtr &, const AnfNodePtr &, const EquivPtr &) const override;
  
   private:
    CNodePtr CreateLayerNormNode(const FuncGraphPtr &func_graph, const EquivPtr &equiv, const std::vector<int> &shape,
                                 const float epsilon) const;
    VarPtr input_;
    VarPtr gamma_;
    VarPtr beta_;
    VarPtr epsilon_;
  };
  }  // namespace opt
  }  // namespace mindspore
  
  #endif  // MINDSPORE_LITE_TOOLS_OPTIMIZER_FUSION_LAYER_NORM_FUSION_H_
  