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) 2021, OPEN AI LAB
   * Author:
   */
  
  #include "unary_kernel_ref.h"
  
  #include "graph/tensor.h"
  #include "graph/node.h"
  #include "graph/graph.h"
  #include "module/module.h"
  #include "operator/op.h"
  #include "utility/float.h"
  #include "utility/sys_port.h"
  #include "utility/log.h"
  #include "device/cpu/cpu_node.h"
  #include "device/cpu/cpu_graph.h"
  #include "device/cpu/cpu_module.h"
  
  #include <math.h>
  
  
  int ref_unary_uint8(struct tensor* input_tensor, struct tensor* output_tensor, struct unary_param* param)
  {
      /* dequant */
      uint8_t* input_uint8 = input_tensor->data;
      uint8_t* output_uint8 = output_tensor->data;
      float input_scale = input_tensor->scale;
      float output_scale = output_tensor->scale;
      int32_t input_zero = input_tensor->zero_point;
      int32_t output_zero = output_tensor->zero_point;
      int input_size = input_tensor->elem_num;
      int output_size = output_tensor->elem_num;
  
      float* in_data = ( float* )sys_malloc(input_size * sizeof(float));
      float* out_data = ( float* )sys_malloc(output_size * sizeof(float));
  
      for (int i = 0; i < input_size; i++)
      {
          in_data[i] = (( float )input_uint8[i] - ( float )input_zero) * input_scale;
      }
  
      int size = input_tensor->elem_num;
  
      int type = param->type;
  
      switch (type)
      {
          case 0:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = fabs(in_data[i]);
              }
              break;
          case 1:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = -(in_data[i]);
              }
              break;
          case 2:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = floor(in_data[i]);
              }
              break;
          case 3:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = ceil(in_data[i]);
              }
              break;
          case 4:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = in_data[i] * in_data[i];
              }
              break;
          case 5:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = sqrt(in_data[i]);
              }
              break;
          case 6:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = 1.f / sqrt(in_data[i]);
              }
              break;
          case 7:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = exp(in_data[i]);
              }
              break;
          case 8:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = log(in_data[i]);
              }
              break;
          case 9:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = sin(in_data[i]);
              }
              break;
          case 10:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = cos(in_data[i]);
              }
              break;
          case 11:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = tan(in_data[i]);
              }
              break;
          case 12:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = asin(in_data[i]);
              }
              break;
          case 13:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = acos(in_data[i]);
              }
              break;
          case 14:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = atan(in_data[i]);
              }
              break;
          case 15:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = 1.f / (in_data[i]);
              }
              break;
          case 16:
              for (int i = 0; i < size; i++)
              {
                  out_data[i] = tanh(in_data[i]);
              }
              break;
          default:
              break;
      }
  
      /* quant */
      for (int i = 0; i < output_size; i++)
      {
          int udata = round(out_data[i] / output_scale + output_zero);
          if (udata > 255)
              udata = 255;
          else if (udata < 0)
              udata = 0;
          output_uint8[i] = udata;
      }
  
      sys_free(in_data);
      sys_free(out_data);
  
      return 0;
  }
  