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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 | // 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.
#ifndef LAYER_BINARYOP_H
#define LAYER_BINARYOP_H
#include "layer.h"
namespace ncnn {
class BinaryOp : public Layer
{
public:
BinaryOp();
virtual int load_param(const ParamDict& pd);
using Layer::forward;
using Layer::forward_inplace;
virtual int forward(const std::vector<Mat>& bottom_blobs, std::vector<Mat>& top_blobs, const Option& opt) const;
virtual int forward_inplace(Mat& bottom_top_blob, const Option& opt) const;
enum OperationType
{
Operation_ADD = 0,
Operation_SUB = 1,
Operation_MUL = 2,
Operation_DIV = 3,
Operation_MAX = 4,
Operation_MIN = 5,
Operation_POW = 6,
Operation_RSUB = 7,
Operation_RDIV = 8,
Operation_RPOW = 9,
Operation_ATAN2 = 10,
Operation_RATAN2 = 11
};
public:
// param
int op_type;
int with_scalar;
float b;
};
} // namespace ncnn
#endif // LAYER_BINARYOP_H
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