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be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | // 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
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