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//
// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <tensorflow/lite/c/common.h>
#include <tensorflow/lite/interpreter.h>
#include <doctest/doctest.h>
#include <half/half.hpp>
using Half = half_float::half;
namespace armnnDelegate
{
constexpr const char* FILE_IDENTIFIER = "TFL3";
/// Can be used to compare bool data coming from a tflite interpreter
/// Boolean types get converted to a bit representation in a vector. vector.data() returns a void pointer
/// instead of a pointer to bool. Therefore a special function to compare to vector of bool is required
void CompareData(std::vector<bool>& tensor1, std::vector<bool>& tensor2, size_t tensorSize);
void CompareData(bool tensor1[], bool tensor2[], size_t tensorSize);
/// Can be used to compare float data coming from a tflite interpreter with a tolerance of limit_of_float*100
void CompareData(float tensor1[], float tensor2[], size_t tensorSize);
/// Can be used to compare float data coming from a tflite interpreter with a given percentage tolerance
void CompareData(float tensor1[], float tensor2[], size_t tensorSize, float percentTolerance);
/// Can be used to compare int8_t data coming from a tflite interpreter with a tolerance of 1
void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize);
/// Can be used to compare uint8_t data coming from a tflite interpreter with a tolerance of 1
void CompareData(uint8_t tensor1[], uint8_t tensor2[], size_t tensorSize);
/// Can be used to compare int16_t data coming from a tflite interpreter with a tolerance of 1
void CompareData(int16_t tensor1[], int16_t tensor2[], size_t tensorSize);
/// Can be used to compare int32_t data coming from a tflite interpreter with a tolerance of 1
void CompareData(int32_t tensor1[], int32_t tensor2[], size_t tensorSize);
/// Can be used to compare Half (Float16) data with a tolerance of limit_of_float*100
void CompareData(Half tensor1[], Half tensor2[], size_t tensorSize);
/// Can be used to compare TfLiteFloat16 data coming from a tflite interpreter
void CompareData(TfLiteFloat16 tensor1[], TfLiteFloat16 tensor2[], size_t tensorSize);
/// Can be used to compare Half (Float16) data and TfLiteFloat16 data coming from a tflite interpreter
void CompareData(TfLiteFloat16 tensor1[], Half tensor2[], size_t tensorSize);
/// Can be used to compare the output tensor shape
/// Example usage can be found in ControlTestHelper.hpp
void CompareOutputShape(const std::vector<int32_t>& tfLiteDelegateShape,
const std::vector<int32_t>& armnnDelegateShape,
const std::vector<int32_t>& expectedOutputShape);
/// Can be used to compare the output tensor values
/// Example usage can be found in ControlTestHelper.hpp
template <typename T>
void CompareOutputData(std::vector<T>& tfLiteDelegateOutputs,
std::vector<T>& armnnDelegateOutputs,
std::vector<T>& expectedOutputValues)
{
armnnDelegate::CompareData(expectedOutputValues.data(), armnnDelegateOutputs.data(), expectedOutputValues.size());
armnnDelegate::CompareData(tfLiteDelegateOutputs.data(), expectedOutputValues.data(), expectedOutputValues.size());
armnnDelegate::CompareData(tfLiteDelegateOutputs.data(), armnnDelegateOutputs.data(), expectedOutputValues.size());
}
} // namespace armnnDelegate
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