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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "TestUtils.hpp"
namespace armnnDelegate
{
void CompareData(bool tensor1[], bool tensor2[], size_t tensorSize)
{
auto compareBool = [](auto a, auto b) {return (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));};
for (size_t i = 0; i < tensorSize; i++)
{
CHECK(compareBool(tensor1[i], tensor2[i]));
}
}
void CompareData(std::vector<bool>& tensor1, bool tensor2[], size_t tensorSize)
{
auto compareBool = [](auto a, auto b) {return (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));};
for (size_t i = 0; i < tensorSize; i++)
{
CHECK(compareBool(tensor1[i], tensor2[i]));
}
}
void CompareData(float tensor1[], float tensor2[], size_t tensorSize)
{
for (size_t i = 0; i < tensorSize; i++)
{
CHECK(tensor1[i] == doctest::Approx( tensor2[i] ));
}
}
void CompareData(uint8_t tensor1[], uint8_t tensor2[], size_t tensorSize)
{
uint8_t tolerance = 1;
for (size_t i = 0; i < tensorSize; i++)
{
CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
}
}
void CompareData(int16_t tensor1[], int16_t tensor2[], size_t tensorSize)
{
int16_t tolerance = 1;
for (size_t i = 0; i < tensorSize; i++)
{
CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
}
}
void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize)
{
int8_t tolerance = 1;
for (size_t i = 0; i < tensorSize; i++)
{
CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
}
}
} // namespace armnnDelegate
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