ONE - On-device Neural Engine
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ElementwiseActivationLayer.h
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1/*
2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#ifndef __ONERT_BACKEND_TRAIN_OPS_ELEMENTWISEACTIVATIONLAYER_H__
18#define __ONERT_BACKEND_TRAIN_OPS_ELEMENTWISEACTIVATIONLAYER_H__
19
21#include <ops/ElementwiseActivationLayer.h>
22
24
25namespace onert
26{
27namespace backend
28{
29namespace train
30{
31namespace ops
32{
33
35{
36 kReLU,
37};
38
41{
42public:
44
45 void configureBackward(const IPortableTensor *input, IPortableTensor *back_prop_input,
46 const IPortableTensor *back_prop_output, float alpha, float beta,
48 void forward(bool training) override;
49 void backward() override;
50
51private:
52 IPortableTensor *_back_prop_input = nullptr;
53 const IPortableTensor *_back_prop_output = nullptr;
54
56 std::function<void(const IPortableTensor *output, const IPortableTensor *incoming,
57 IPortableTensor *outgoing)>
58 _backward_kernel;
59};
60
61} // namespace ops
62} // namespace train
63} // namespace backend
64} // namespace onert
65
66#endif // __ONERT_BACKEND_TRAIN_OPS_ELEMENTWISEACTIVATIONLAYER_H__
A tensor class that is portable for other backends.
void configureBackward(const IPortableTensor *input, IPortableTensor *back_prop_input, const IPortableTensor *back_prop_output, float alpha, float beta, ElementwiseActivationType op_type)