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
135
136
137
138
139
|
//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ConvolutionTestHelper.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 <tensorflow/lite/version.h>
#include <doctest/doctest.h>
namespace armnnDelegate
{
void TransposeConvInt8Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<int32_t> transposeTensorShape { 4 };
std::vector<int32_t> filterShape { 1, 2, 2, 1 };
std::vector<int32_t> inputShape { 1, 2, 2, 1 };
std::vector<int32_t> outputShape { 1, 3, 3, 1 };
std::vector<int32_t> transposeData = { 1, 3, 3, 1 };
static std::vector<int8_t> inputValues = { 1, 2, 3, 4 };
std::vector<int8_t> filterValues = { 0, 1, 2, 4 };
std::vector<int8_t> expectedOutputValues =
{
0, 1, 2,
2, 11, 12,
6, 20, 16
};
tflite::Padding padding = tflite::Padding_VALID;
TransposeConvTest<int8_t>(backends,
::tflite::TensorType_INT8,
1, // strideX
1, // strideY
padding,
transposeTensorShape,
filterShape,
inputShape,
outputShape,
transposeData,
filterValues,
inputValues,
expectedOutputValues);
}
void TransposeConvFp32Test(std::vector<armnn::BackendId>& backends)
{
std::vector<int32_t> transposeTensorShape { 4 };
std::vector<int32_t> filterShape { 1, 2, 2, 1 };
std::vector<int32_t> inputShape { 1, 2, 2, 1 };
std::vector<int32_t> outputShape { 1, 3, 3, 1 };
std::vector<int32_t> transposeData = { 1, 3, 3, 1 };
static std::vector<float> inputValues = { 1, 2, 3, 4 };
std::vector<float> filterValues = { 0, 1, 2, 4 };
std::vector<float> expectedOutputValues =
{
0, 1, 2,
2, 11, 12,
6, 20, 16
};
tflite::Padding padding = tflite::Padding_VALID;
TransposeConvTest<float>(backends,
::tflite::TensorType_FLOAT32,
1, // strideX
1, // strideY
padding,
transposeTensorShape,
filterShape,
inputShape,
outputShape,
transposeData,
filterValues,
inputValues,
expectedOutputValues);
}
TEST_SUITE("TransposeConv_CpuRef_Test")
{
TEST_CASE ("TransposeConv_CpuRef_Fp32_Test")
{
std::vector <armnn::BackendId> backends = {armnn::Compute::CpuRef};
TransposeConvFp32Test(backends);
}
TEST_CASE ("TransposeConv_CpuRef_Int8_Test")
{
std::vector <armnn::BackendId> backends = {armnn::Compute::CpuRef};
TransposeConvInt8Test(backends);
}
} // End of TEST_SUITE(TransposeConv_CpuRef_Test)
TEST_SUITE("TransposeConv_CpuAcc_Test")
{
TEST_CASE ("TransposeConv_CpuAcc_Fp32_Test")
{
std::vector <armnn::BackendId> backends = {armnn::Compute::CpuAcc};
TransposeConvFp32Test(backends);
}
TEST_CASE ("TransposeConv_CpuAcc_Int8_Test")
{
std::vector <armnn::BackendId> backends = {armnn::Compute::CpuAcc};
TransposeConvInt8Test(backends);
}
} // End of TEST_SUITE(TransposeConv_CpuAcc_Test)
TEST_SUITE("TransposeConv_GpuAcc_Test")
{
TEST_CASE ("TransposeConv_GpuAcc_Fp32_Test")
{
std::vector <armnn::BackendId> backends = {armnn::Compute::GpuAcc};
TransposeConvFp32Test(backends);
}
TEST_CASE ("TransposeConv_GpuAcc_Int8_Test")
{
std::vector <armnn::BackendId> backends = {armnn::Compute::GpuAcc};
TransposeConvInt8Test(backends);
}
} // End of TEST_SUITE(TransposeConv_GpuAcc_Test)
} // namespace armnnDelegate
|
