ONE - On-device Neural Engine
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PadLayer.h
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1/*
2 * Copyright (c) 2024 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_PADLAYER_H__
18#define __ONERT_BACKEND_TRAIN_OPS_PADLAYER_H__
19
20#include <ops/PadLayer.h>
22#include "OperationUtils.h"
23
25
26namespace onert
27{
28namespace backend
29{
30namespace train
31{
32namespace ops
33{
34
35// Note, this is pad with mode=`CONSTANT`: it doesn't support `REFLECT` and
36// `SYMMETRIC`
38{
39public:
40 PadLayer();
41
42public:
43 template <typename T> void depad();
44
45 void configureBackward(IPortableTensor *back_prop_input, const IPortableTensor *back_prop_output);
46 void forward(bool training) override;
47 void backward() override;
48
49private:
50 IPortableTensor *_back_prop_input;
51 const IPortableTensor *_back_prop_output;
52};
53
54} // namespace ops
55} // namespace train
56} // namespace backend
57} // namespace onert
58
59#endif // __ONERT_BACKEND_TRAIN_OPS_PADLAYER_H__
A tensor class that is portable for other backends.
void forward(bool training) override
Definition PadLayer.cc:53
void configureBackward(IPortableTensor *back_prop_input, const IPortableTensor *back_prop_output)
Definition PadLayer.cc:46