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
125
126
127
128
129
130
131
132
133
134
|
//
// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ResizeTestHelper.hpp"
#include <armnn_delegate.hpp>
#include <flatbuffers/flatbuffers.h>
#include <tensorflow/lite/interpreter.h>
#include <tensorflow/lite/kernels/register.h>
#include <tensorflow/lite/model.h>
#include <schema_generated.h>
#include <tensorflow/lite/version.h>
#include <doctest/doctest.h>
namespace armnnDelegate
{
void ResizeBiliniarFloat32Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<float> input1Values
{
0.0f, 1.0f, 2.0f,
3.0f, 4.0f, 5.0f,
6.0f, 7.0f, 8.0f
};
const std::vector<int32_t> input2NewShape { 5, 5 };
// Calculate output data
std::vector<float> expectedOutputValues
{
0.0f, 0.6f, 1.2f, 1.8f, 2.0f,
1.8f, 2.4f, 3.0f, 3.6f, 3.8f,
3.6f, 4.2f, 4.8f, 5.4f, 5.6f,
5.4f, 6.0f, 6.6f, 7.2f, 7.4f,
6.0f, 6.6f, 7.2f, 7.8f, 8.0f
};
const std::vector<int32_t> input1Shape { 1, 3, 3, 1 };
const std::vector<int32_t> input2Shape { 2 };
const std::vector<int32_t> expectedOutputShape = { 1, 5, 5, 1 };
ResizeFP32TestImpl(tflite::BuiltinOperator_RESIZE_BILINEAR,
backends,
input1Values,
input1Shape,
input2NewShape,
input2Shape,
expectedOutputValues,
expectedOutputShape);
}
void ResizeNearestNeighbourFloat32Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<float> input1Values { 1.0f, 2.0f, 3.0f, 4.0f }
;
const std::vector<int32_t> input2NewShape { 1, 1 };
// Calculate output data
std::vector<float> expectedOutputValues { 1.0f };
const std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
const std::vector<int32_t> input2Shape { 2 };
const std::vector<int32_t> expectedOutputShape = { 1, 1, 1, 1 };
ResizeFP32TestImpl(tflite::BuiltinOperator_RESIZE_NEAREST_NEIGHBOR,
backends,
input1Values,
input1Shape,
input2NewShape,
input2Shape,
expectedOutputValues,
expectedOutputShape);
}
TEST_SUITE("ResizeTests_GpuAccTests")
{
TEST_CASE ("Resize_Biliniar_Float32_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ResizeBiliniarFloat32Test(backends);
}
TEST_CASE ("Resize_NearestNeighbour_Float32_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ResizeNearestNeighbourFloat32Test(backends);
}
} // TEST_SUITE("ResizeTests_GpuAccTests")
TEST_SUITE("ResizeTests_CpuAccTests")
{
TEST_CASE ("Resize_Biliniar_Float32_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ResizeBiliniarFloat32Test(backends);
}
TEST_CASE ("Resize_NearestNeighbour_Float32_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ResizeNearestNeighbourFloat32Test(backends);
}
} // TEST_SUITE("ResizeTests_CpuAccTests")
TEST_SUITE("ResizeTests_CpuRefTests")
{
TEST_CASE ("Resize_Biliniar_Float32_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ResizeBiliniarFloat32Test(backends);
}
TEST_CASE ("Resize_NearestNeighbour_Float32_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ResizeNearestNeighbourFloat32Test(backends);
}
} // TEST_SUITE("ResizeTests_CpuRefTests")
} // namespace armnnDelegate
|
