blob: 64041ab49050dbe49ab8c6295588a9640f2c8d9c (
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
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
|
/*
* Copyright (c) 2018 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 "internal/op/L2Pool2D.h"
#include "internal/op/NodeVisitor.h"
#include <cassert>
namespace internal
{
namespace tflite
{
namespace op
{
namespace L2Pool2D
{
namespace Explicit
{
void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
} // namespace Explicit
namespace Implicit
{
void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
} // namespace Implicit
} // namespace L2Pool2D
} // namespace op
} // namespace tflite
} // namespace internal
namespace internal
{
namespace tflite
{
namespace op
{
namespace L2Pool2D
{
namespace Explicit
{
Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
const uint32_t *outputs)
{
assert(inputCount == 10 && outputCount == 1);
ofm_index = outputs[0];
// Each input should be interpreted as follows:
//
// 0 -> IFM Tensor Index
// 1 -> Padding_left index
// 2 -> Padding_right index
// 3 -> Padding_top index
// 4 -> Padding_bottom index
// 5 -> Horizontal (over width) Stride Index
// 6 -> Vertial (over height) Stride Index
// 7 -> Filter Width Index
// 8 -> Filter Height Index
// 9 -> FuseCode (activation) Index
ifm_index = inputs[0];
padding_left_index = inputs[1];
padding_right_index = inputs[2];
padding_top_index = inputs[3];
padding_bottom_index = inputs[4];
hstride_index = inputs[5];
vstride_index = inputs[6];
kw_index = inputs[7];
kh_index = inputs[8];
activation_index = inputs[9];
}
} // namespace Explicit
namespace Implicit
{
Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
const uint32_t *outputs)
{
assert(inputCount == 7 && outputCount == 1);
ofm_index = outputs[0];
// Each input should be interpreted as follows:
//
// 0 -> IFM Tensor Index
// 1 -> Padding Code (ANEURALNETWORKS_PADDING_SAME or ANEURALNETWORKS_PADDING_VALID) Index
// 2 -> Horizontal (over width) Stride Index
// 3 -> Vertial (over height) Stride Index
// 4 -> Filter Width Index
// 5 -> Filter Height Index
// 6 -> FuseCode (activation) Index
ifm_index = inputs[0];
padding_index = inputs[1];
hstride_index = inputs[2];
vstride_index = inputs[3];
kw_index = inputs[4];
kh_index = inputs[5];
activation_index = inputs[6];
}
} // namespace Implicit
} // namespace L2Pool2D
} // namespace op
} // namespace tflite
} // namespace internal
|