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
|
/*
* Copyright (c) 2017 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_YOLOV2_ACTIVATION_LAYER_DATASET
#define ARM_COMPUTE_TEST_YOLOV2_ACTIVATION_LAYER_DATASET
#include "tests/framework/datasets/Datasets.h"
#include "utils/TypePrinter.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
namespace test
{
namespace datasets
{
class YOLOV2ActivationLayerRELUDataset final : public
framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
{
public:
YOLOV2ActivationLayerRELUDataset()
: CartesianProductDataset
{
framework::dataset::make("Shape", { // relu1
TensorShape(416U, 416U, 32U),
// relu2
TensorShape(208U, 208U, 64U),
// relu3, relu5
TensorShape(104U, 104U, 128U),
// relu4
TensorShape(104U, 104U, 64U),
// relu6, relu8
TensorShape(52U, 52U, 256U),
// relu7
TensorShape(52U, 52U, 128U),
// relu9, relu11, relu13
TensorShape(26U, 26U, 512U),
// relu10, relu12
TensorShape(26U, 26U, 256U),
// relu14, relu16, relu18, relu19, relu20, relu21
TensorShape(13U, 13U, 1024U),
// relu15, relu17
TensorShape(13U, 13U, 512U) }),
framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
}
{
}
YOLOV2ActivationLayerRELUDataset(YOLOV2ActivationLayerRELUDataset &&) = default;
~YOLOV2ActivationLayerRELUDataset() = default;
};
class YOLOV2ActivationLayerLINEARDataset final : public
framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
{
public:
YOLOV2ActivationLayerLINEARDataset()
: CartesianProductDataset
{
framework::dataset::make("Shape", { // linear22
TensorShape(15U, 15U, 425U) }),
framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR))
}
{
}
YOLOV2ActivationLayerLINEARDataset(YOLOV2ActivationLayerLINEARDataset &&) = default;
~YOLOV2ActivationLayerLINEARDataset() = default;
};
class YOLOV2ActivationLayerDataset final : public framework::dataset::JoinDataset<YOLOV2ActivationLayerRELUDataset, YOLOV2ActivationLayerLINEARDataset>
{
public:
YOLOV2ActivationLayerDataset()
: JoinDataset
{
YOLOV2ActivationLayerRELUDataset(),
YOLOV2ActivationLayerLINEARDataset()
}
{
}
YOLOV2ActivationLayerDataset(YOLOV2ActivationLayerDataset &&) = default;
~YOLOV2ActivationLayerDataset() = default;
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_YOLOV2_ACTIVATION_LAYER_DATASET */
|
