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_interp_parser.h"
  #include <memory>
  
  namespace mindspore {
  namespace lite {
  STATUS CaffeInterpParser::Parse(const caffe::LayerParameter &proto, const caffe::LayerParameter &weight,
                                  schema::CNodeT *op, std::vector<schema::TensorT *> *weightVec) {
    MS_LOG(DEBUG) << "parse CaffeInterpParser";
    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::ResizeT> attr = std::make_unique<schema::ResizeT>();
    if (attr == nullptr) {
      MS_LOG(ERROR) << "new op failed";
      return RET_NULL_PTR;
    }
  
    const caffe::InterpParameter interpParam = proto.interp_param();
    if (interpParam.has_height()) {
      int64_t height = interpParam.height();
      if (height < 0) {
        MS_LOG(ERROR) << "Interp height must be > 0";
        return RET_ERROR;
      }
      attr->newHeight = height;
    }
  
    if (interpParam.has_width()) {
      int64_t width = interpParam.width();
      if (width < 0) {
        MS_LOG(ERROR) << "Interp width must be > 0";
        return RET_ERROR;
      }
      attr->newWidth = width;
    }
    attr->alignCorners = true;
    attr->method = schema::ResizeMethod_LINEAR;
  
    op->name = proto.name();
    op->primitive->value.type = schema::PrimitiveType_Resize;
    op->primitive->value.value = attr.release();
    return RET_OK;
  }
  
  CaffeNodeRegistrar g_caffeInterpParser("Interp", new CaffeInterpParser());
  }  // namespace lite
  }  // namespace mindspore
  