text: // Tencent is pleased to support the open source community by making ncnn available.
  //
  // Copyright (C) 2022 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.
  
  #ifndef LAYER_DECONVOLUTION3D_H
  #define LAYER_DECONVOLUTION3D_H
  
  #include "layer.h"
  
  namespace ncnn {
  
  class Deconvolution3D : public Layer
  {
  public:
      Deconvolution3D();
  
      virtual int load_param(const ParamDict& pd);
  
      virtual int load_model(const ModelBin& mb);
  
      virtual int forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
  
  protected:
      void cut_padding(const Mat& top_blob_bordered, Mat& top_blob, const Option& opt) const;
  
  public:
      // param
      int num_output;
      int kernel_w;
      int kernel_h;
      int kernel_d;
      int dilation_w;
      int dilation_h;
      int dilation_d;
      int stride_w;
      int stride_h;
      int stride_d;
      int pad_left;
      int pad_right;
      int pad_top;
      int pad_bottom;
      int pad_front;
      int pad_behind;
      int output_pad_right;
      int output_pad_bottom;
      int output_pad_behind;
      int output_w;
      int output_h;
      int output_d;
      int bias_term;
  
      int weight_data_size;
  
      int activation_type;
      Mat activation_params;
  
      // model
      Mat weight_data;
      Mat bias_data;
  };
  
  } // namespace ncnn
  
  #endif // LAYER_DECONVOLUTION3D_H
  