text: /*
   * Copyright (C) 2010-2018 Arm Limited or its affiliates. All rights reserved.
   *
   * SPDX-License-Identifier: Apache-2.0
   *
   * 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
   *
   * 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 "ref_functions.h"
  
  void arm_avepool_q7_HWC_ref(const q7_t * Im_in, // input image
                              const uint16_t dim_im_in,   // input image dimension
                              const uint16_t ch_im_in,    // number of input image channels
                              const uint16_t dim_kernel,  // window kernel size
                              const uint16_t padding, // padding sizes
                              const uint16_t stride,  // stride
                              const uint16_t dim_im_out,  // output image dimension
                              q7_t * bufferA, // a buffer for local storage
                              q7_t * Im_out)
  {
      int16_t   i_ch_in, i_x, i_y;
      int16_t   k_x, k_y;
  
      for (i_ch_in = 0; i_ch_in < ch_im_in; i_ch_in++)
      {
          for (i_y = 0; i_y < dim_im_out; i_y++)
          {
              for (i_x = 0; i_x < dim_im_out; i_x++)
              {
                  int       sum = 0;
                  int       count = 0;
                  for (k_y = i_y * stride - padding; k_y < i_y * stride - padding + dim_kernel; k_y++)
                  {
                      for (k_x = i_x * stride - padding; k_x < i_x * stride - padding + dim_kernel; k_x++)
                      {
                          if (k_y >= 0 && k_x >= 0 && k_y < dim_im_in && k_x < dim_im_in)
                          {
                              sum += Im_in[i_ch_in + ch_im_in * (k_x + k_y * dim_im_in)];
                              count++;
                          }
                      }
                  }
                  Im_out[i_ch_in + ch_im_in * (i_x + i_y * dim_im_out)] = sum / count;
              }
          }
      }
  }
  
  void arm_maxpool_q7_HWC_ref(const q7_t * Im_in, // input image
                              const uint16_t dim_im_in,   // input image dimension
                              const uint16_t ch_im_in,    // number of input image channels
                              const uint16_t dim_kernel,  // window kernel size
                              const uint16_t padding, // padding sizes
                              const uint16_t stride,  // stride
                              const uint16_t dim_im_out,  // output image dimension
                              q7_t * bufferA, // a buffer for local storage
                              q7_t * Im_out)
  {
      int16_t   i_ch_in, i_x, i_y;
      int16_t   k_x, k_y;
  
      for (i_ch_in = 0; i_ch_in < ch_im_in; i_ch_in++)
      {
          for (i_y = 0; i_y < dim_im_out; i_y++)
          {
              for (i_x = 0; i_x < dim_im_out; i_x++)
              {
                  int       max = -129;
                  for (k_y = i_y * stride - padding; k_y < i_y * stride - padding + dim_kernel; k_y++)
                  {
                      for (k_x = i_x * stride - padding; k_x < i_x * stride - padding + dim_kernel; k_x++)
                      {
                          if (k_y >= 0 && k_x >= 0 && k_y < dim_im_in && k_x < dim_im_in)
                          {
                              if (Im_in[i_ch_in + ch_im_in * (k_x + k_y * dim_im_in)] > max)
                              {
                                  max = Im_in[i_ch_in + ch_im_in * (k_x + k_y * dim_im_in)];
                              }
                          }
                      }
                  }
                  Im_out[i_ch_in + ch_im_in * (i_x + i_y * dim_im_out)] = max;
              }
          }
      }
  }
  