1 //
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "TestUtils.hpp"
7
8 namespace armnnDelegate
9 {
10
11
12
CompareData(bool tensor1[],bool tensor2[],size_t tensorSize)13 void CompareData(bool tensor1[], bool tensor2[], size_t tensorSize)
14 {
15 auto compareBool = [](auto a, auto b) {return (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));};
16 for (size_t i = 0; i < tensorSize; i++)
17 {
18 CHECK(compareBool(tensor1[i], tensor2[i]));
19 }
20 }
21
CompareData(std::vector<bool> & tensor1,bool tensor2[],size_t tensorSize)22 void CompareData(std::vector<bool>& tensor1, bool tensor2[], size_t tensorSize)
23 {
24 auto compareBool = [](auto a, auto b) {return (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));};
25 for (size_t i = 0; i < tensorSize; i++)
26 {
27 CHECK(compareBool(tensor1[i], tensor2[i]));
28 }
29 }
30
CompareData(float tensor1[],float tensor2[],size_t tensorSize)31 void CompareData(float tensor1[], float tensor2[], size_t tensorSize)
32 {
33 for (size_t i = 0; i < tensorSize; i++)
34 {
35 CHECK(tensor1[i] == doctest::Approx( tensor2[i] ));
36 }
37 }
38
CompareData(uint8_t tensor1[],uint8_t tensor2[],size_t tensorSize)39 void CompareData(uint8_t tensor1[], uint8_t tensor2[], size_t tensorSize)
40 {
41 uint8_t tolerance = 1;
42 for (size_t i = 0; i < tensorSize; i++)
43 {
44 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
45 }
46 }
47
CompareData(int16_t tensor1[],int16_t tensor2[],size_t tensorSize)48 void CompareData(int16_t tensor1[], int16_t tensor2[], size_t tensorSize)
49 {
50 int16_t tolerance = 1;
51 for (size_t i = 0; i < tensorSize; i++)
52 {
53 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
54 }
55 }
56
CompareData(int8_t tensor1[],int8_t tensor2[],size_t tensorSize)57 void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize)
58 {
59 int8_t tolerance = 1;
60 for (size_t i = 0; i < tensorSize; i++)
61 {
62 CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
63 }
64 }
65
66 } // namespace armnnDelegate