blob: 5b980e3b2497690730e3a8a5c67a2155bb8a4ac7 (
plain)
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
|
/*
* Copyright (c) 2019 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.
*/
#ifndef __MOCO_IR_TFFUSEDBATCHNORM_H__
#define __MOCO_IR_TFFUSEDBATCHNORM_H__
#include "moco/IR/TFNodeDecl.h"
namespace moco
{
class TFFusedBatchNorm final : public FixedArityNode<5, TFNodeImpl<TFOpcode::FusedBatchNorm>>
{
public:
TFFusedBatchNorm() = default;
public:
Node *x(void) const { return at(0)->node(); }
void x(Node *node) { at(0)->node(node); }
Node *scale(void) const { return at(1)->node(); } // gamma
void scale(Node *node) { at(1)->node(node); }
Node *offset(void) const { return at(2)->node(); } // beta
void offset(Node *node) { at(2)->node(node); }
Node *mean(void) const { return at(3)->node(); }
void mean(Node *node) { at(3)->node(node); }
Node *variance(void) const { return at(4)->node(); }
void variance(Node *node) { at(4)->node(node); }
float epsilon(void) const { return _epsilon; }
void epsilon(float epsilon) { _epsilon = epsilon; }
private:
float _epsilon = 0.001f;
};
} // namespace moco
#endif // __MOCO_IR_TFFUSEDBATCHNORM_H__
|
