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
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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.
*/
#include "SquaredDiffLayer.h"
#include "OperationUtils.h"
#include <cker/operation/SqDiff.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace ops
{
SqDiffLayer::SqDiffLayer() : _input1(nullptr), _input2(nullptr), _output(nullptr)
{
// DO NOTHING
}
void SqDiffLayer::SqDiffFloat32()
{
nnfw::cker::SqDiff(getShape(_input1), getBuffer<float>(_input1), getShape(_input2),
getBuffer<float>(_input2), getShape(_output), getBuffer<float>(_output));
}
void SqDiffLayer::configure(const IPortableTensor *input1, const IPortableTensor *input2,
IPortableTensor *output)
{
_input1 = input1;
_input2 = input2;
_output = output;
}
void SqDiffLayer::run()
{
if (_input1->data_type() == OperandType::FLOAT32)
{
SqDiffFloat32();
}
else
{
throw std::runtime_error{"SquaredDiff: unsupported data type"};
}
}
} // namespace ops
} // namespace cpu
} // namespace backend
} // namespace onert
|
