text: /*
   * Licensed to the Apache Software Foundation (ASF) under one
   * or more contributor license agreements.  See the NOTICE file
   * distributed with this work for additional information
   * regarding copyright ownership.  The ASF licenses this file
   * to you 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.
   */
  
  /*
   * Copyright (c) 2019, Open AI Lab
   * Author: zpluo@openailab.com
   */
  
  int ref_l2norm_int8(int8_t* data,int8_t* out_data, int size, int channel_size,l2norm_param* param)
  {
      for(int i = 0; i < size; i++)
      {
          float sq_l2_norm = 0;
          for(int j = 0; j < channel_size; j++)
          {
              const float val = data[j]*param->scale[0];
              sq_l2_norm += val * val;
              //std::cout<<sq_l2_norm<<std::endl;
          }
          const float l2_norm = sqrt(sq_l2_norm);
          for(int j = 0; j < channel_size; j++)
          {
              *out_data = round((((*data)*param->scale[0]) / l2_norm)/param->scale[1]);
              out_data++;
              data++;
          }
      }
      return 0;
  }
  