1 //
2 // Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "TestUtils.hpp"
7
8 namespace armnnDelegate
9 {
10
CompareData(bool tensor1[],bool tensor2[],size_t tensorSize)11 void CompareData(bool tensor1[], bool tensor2[], size_t tensorSize)
12 {
13 auto compareBool = [](auto a, auto b) {return (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));};
14 for (size_t i = 0; i < tensorSize; i++)
15 {
16 CHECK(compareBool(tensor1[i], tensor2[i]));
17 }
18 }
19
CompareData(std::vector<bool> & tensor1,std::vector<bool> & tensor2,size_t tensorSize)20 void CompareData(std::vector<bool>& tensor1, std::vector<bool>& tensor2, size_t tensorSize)
21 {
22 auto compareBool = [](auto a, auto b) {return (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));};
23 for (size_t i = 0; i < tensorSize; i++)
24 {
25 CHECK(compareBool(tensor1[i], tensor2[i]));
26 }
27 }
28
CompareData(float tensor1[],float tensor2[],size_t tensorSize)29 void CompareData(float tensor1[], float tensor2[], size_t tensorSize)
30 {
31 for (size_t i = 0; i < tensorSize; i++)
32 {
33 CHECK(tensor1[i] == doctest::Approx( tensor2[i] ));
34 }
35 }
36
CompareData(float tensor1[],float tensor2[],size_t tensorSize,float percentTolerance)37 void CompareData(float tensor1[], float tensor2[], size_t tensorSize, float percentTolerance)
38 {
39 for (size_t i = 0; i < tensorSize; i++)
40 {
41 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <=
42 std::abs(tensor1[i]*percentTolerance/100));
43 }
44 }
45
CompareData(uint8_t tensor1[],uint8_t tensor2[],size_t tensorSize)46 void CompareData(uint8_t tensor1[], uint8_t tensor2[], size_t tensorSize)
47 {
48 uint8_t tolerance = 1;
49 for (size_t i = 0; i < tensorSize; i++)
50 {
51 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
52 }
53 }
54
CompareData(int16_t tensor1[],int16_t tensor2[],size_t tensorSize)55 void CompareData(int16_t tensor1[], int16_t tensor2[], size_t tensorSize)
56 {
57 int16_t tolerance = 1;
58 for (size_t i = 0; i < tensorSize; i++)
59 {
60 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
61 }
62 }
63
CompareData(int32_t tensor1[],int32_t tensor2[],size_t tensorSize)64 void CompareData(int32_t tensor1[], int32_t tensor2[], size_t tensorSize)
65 {
66 int32_t tolerance = 1;
67 for (size_t i = 0; i < tensorSize; i++)
68 {
69 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
70 }
71 }
72
CompareData(int8_t tensor1[],int8_t tensor2[],size_t tensorSize)73 void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize)
74 {
75 int8_t tolerance = 1;
76 for (size_t i = 0; i < tensorSize; i++)
77 {
78 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
79 }
80 }
81
CompareData(Half tensor1[],Half tensor2[],size_t tensorSize)82 void CompareData(Half tensor1[], Half tensor2[], size_t tensorSize)
83 {
84 for (size_t i = 0; i < tensorSize; i++)
85 {
86 CHECK(tensor1[i] == doctest::Approx( tensor2[i] ));
87 }
88 }
89
CompareData(TfLiteFloat16 tensor1[],TfLiteFloat16 tensor2[],size_t tensorSize)90 void CompareData(TfLiteFloat16 tensor1[], TfLiteFloat16 tensor2[], size_t tensorSize)
91 {
92 uint16_t tolerance = 1;
93 for (size_t i = 0; i < tensorSize; i++)
94 {
95 uint16_t tensor1Data = tensor1[i].data;
96 uint16_t tensor2Data = tensor2[i].data;
97 CHECK(std::max(tensor1Data, tensor2Data) - std::min(tensor1Data, tensor2Data) <= tolerance);
98 }
99 }
100
CompareData(TfLiteFloat16 tensor1[],Half tensor2[],size_t tensorSize)101 void CompareData(TfLiteFloat16 tensor1[], Half tensor2[], size_t tensorSize) {
102 uint16_t tolerance = 1;
103 for (size_t i = 0; i < tensorSize; i++)
104 {
105 uint16_t tensor1Data = tensor1[i].data;
106 uint16_t tensor2Data = half_float::detail::float2half<std::round_indeterminate, float>(tensor2[i]);
107 CHECK(std::max(tensor1Data, tensor2Data) - std::min(tensor1Data, tensor2Data) <= tolerance);
108 }
109 }
110
CompareOutputShape(const std::vector<int32_t> & tfLiteDelegateShape,const std::vector<int32_t> & armnnDelegateShape,const std::vector<int32_t> & expectedOutputShape)111 void CompareOutputShape(const std::vector<int32_t>& tfLiteDelegateShape,
112 const std::vector<int32_t>& armnnDelegateShape,
113 const std::vector<int32_t>& expectedOutputShape)
114 {
115 CHECK(expectedOutputShape.size() == tfLiteDelegateShape.size());
116 CHECK(expectedOutputShape.size() == armnnDelegateShape.size());
117
118 for (size_t i = 0; i < expectedOutputShape.size(); i++)
119 {
120 CHECK(expectedOutputShape[i] == armnnDelegateShape[i]);
121 CHECK(tfLiteDelegateShape[i] == expectedOutputShape[i]);
122 CHECK(tfLiteDelegateShape[i] == armnnDelegateShape[i]);
123 }
124 }
125
126 } // namespace armnnDelegate