text: // Tencent is pleased to support the open source community by making ncnn available.
  //
  // Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
  //
  // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
  // in compliance with the License. You may obtain a copy of the License at
  //
  // https://opensource.org/licenses/BSD-3-Clause
  //
  // 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 "relu.h"
  #include <algorithm>
  
  void *ReLU_ctor(void *_self, va_list *args)
  {
      Layer *self = (Layer *)_self;
  
      self->one_blob_only = true;
      self->support_inplace = true;
  
      return _self;
  }
  
  int ReLU_load_param(void *_self, const ParamDict& pd)
  {
      ReLU *self = (ReLU *)_self;
  
      self->slope = pd.get(0, 0.f);
  
      return 0;
  }
  
  int ReLU_forward_inplace(void *_self, Mat& bottom_top_blob, const Option& opt)
  {
      ReLU *self = (ReLU *)_self;
  
      int w = bottom_top_blob.w;
      int h = bottom_top_blob.h;
      int channels = bottom_top_blob.c;
      int size = w * h;
  
      if (self->slope == 0.f)
      {
          #pragma omp parallel for num_threads(opt.num_threads)
          for (int q=0; q<channels; q++)
          {
              signed char* ptr = bottom_top_blob.channel(q);
  
              for (int i=0; i<size; i++)
              {
                  if (ptr[i] < 0)
                      ptr[i] = 0;
              }
          }
      }
      else
      {
          // TODO
          // #pragma omp parallel for num_threads(opt.num_threads)
          // for (int q=0; q<channels; q++)
          // {
          //     float* ptr = bottom_top_blob.channel(q);
  
          //     for (int i=0; i<size; i++)
          //     {
          //         if (ptr[i] < 0)
          //             ptr[i] *= slope;
          //     }
          // }
      }
  
      return 0;
  }
  
  int ReLU_forward_inplace_int8(void *_self, Mat& bottom_top_blob, const Option& opt)
  {
      ReLU *self = (ReLU *)_self;
  
      if (bottom_top_blob.elemsize == 1u)
          return ReLU_forward_inplace_int8(self, bottom_top_blob, opt);
  
      int w = bottom_top_blob.w;
      int h = bottom_top_blob.h;
      int channels = bottom_top_blob.c;
      int size = w * h;
  
      if (self->slope == 0.f)
      {
          #pragma omp parallel for num_threads(opt.num_threads)
          for (int q=0; q<channels; q++)
          {
              float* ptr = bottom_top_blob.channel(q);
  
              for (int i=0; i<size; i++)
              {
                  if (ptr[i] < 0)
                      ptr[i] = 0;
              }
          }
      }
      else
      {
          #pragma omp parallel for num_threads(opt.num_threads)
          for (int q=0; q<channels; q++)
          {
              float* ptr = bottom_top_blob.channel(q);
  
              for (int i=0; i<size; i++)
              {
                  if (ptr[i] < 0)
                  {
                      ptr[i] *= self->slope;
                  }
              }
          }
      }
  
      return 0;
  }
  