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.
   */
  
  #include "tools/converter/parser/caffe/caffe_tanh_parser.h"
  #include <memory>
  #include <vector>
  
  namespace mindspore {
  namespace lite {
  STATUS CaffeTanhParser::Parse(const caffe::LayerParameter &proto,
                                 const caffe::LayerParameter &weight,
                                 schema::CNodeT *op,
                                 std::vector<schema::TensorT *> *weightVec) {
    MS_LOG(DEBUG) << "parse CaffeTanhParser";
    if (op == nullptr) {
      MS_LOG(ERROR) << "op is null";
      return RET_NULL_PTR;
    }
    op->primitive = std::make_unique<schema::PrimitiveT>();
    if (op->primitive == nullptr) {
      MS_LOG(ERROR) << "op->primitive is null";
      return RET_NULL_PTR;
    }
  
    std::unique_ptr<schema::ActivationT> attr(new schema::ActivationT());
    if (attr == nullptr) {
      MS_LOG(ERROR) << "new op failed";
      return RET_NULL_PTR;
    }
    attr->type = schema::ActivationType_TANH;
  
    op->name = proto.name();
    op->primitive->value.type = schema::PrimitiveType_Activation;
    op->primitive->value.value = attr.release();
    return RET_OK;
  }
  
  CaffeNodeRegistrar g_caffeTanhParser("TanH", new CaffeTanhParser());
  }  // namespace lite
  }  // namespace mindspore
  
  