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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ModelAccuracyChecker.hpp"
#include <boost/algorithm/string.hpp>
#include <boost/test/unit_test.hpp>
#include <iostream>
#include <string>
#include <boost/log/core/core.hpp>
#include <boost/filesystem.hpp>
#include <boost/optional.hpp>
#include <boost/variant.hpp>
using namespace armnnUtils;
struct TestHelper {
const std::map<std::string, int> GetValidationLabelSet()
{
std::map<std::string, int> validationLabelSet;
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000001", 2));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000002", 9));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000003", 1));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000004", 6));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000005", 5));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000006", 0));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000007", 8));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000008", 4));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000009", 3));
validationLabelSet.insert( std::make_pair("ILSVRC2012_val_00000009", 7));
return validationLabelSet;
}
};
BOOST_AUTO_TEST_SUITE(ModelAccuracyCheckerTest)
using TContainer = boost::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>;
BOOST_FIXTURE_TEST_CASE(TestFloat32OutputTensorAccuracy, TestHelper)
{
ModelAccuracyChecker checker(GetValidationLabelSet());
// Add image 1 and check accuracy
std::vector<float> inferenceOutputVector1 = {0.05f, 0.10f, 0.70f, 0.15f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};
TContainer inference1Container(inferenceOutputVector1);
std::vector<TContainer> outputTensor1;
outputTensor1.push_back(inference1Container);
std::string imageName = "ILSVRC2012_val_00000001.JPEG";
checker.AddImageResult<TContainer>(imageName, outputTensor1);
// Top 1 Accuracy
float totalAccuracy = checker.GetAccuracy(1);
BOOST_CHECK(totalAccuracy == 100.0f);
// Add image 2 and check accuracy
std::vector<float> inferenceOutputVector2 = {0.10f, 0.0f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f};
TContainer inference2Container(inferenceOutputVector2);
std::vector<TContainer> outputTensor2;
outputTensor2.push_back(inference2Container);
imageName = "ILSVRC2012_val_00000002.JPEG";
checker.AddImageResult<TContainer>(imageName, outputTensor2);
// Top 1 Accuracy
totalAccuracy = checker.GetAccuracy(1);
BOOST_CHECK(totalAccuracy == 50.0f);
// Top 2 Accuracy
totalAccuracy = checker.GetAccuracy(2);
BOOST_CHECK(totalAccuracy == 100.0f);
// Add image 3 and check accuracy
std::vector<float> inferenceOutputVector3 = {0.0f, 0.10f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f};
TContainer inference3Container(inferenceOutputVector3);
std::vector<TContainer> outputTensor3;
outputTensor3.push_back(inference3Container);
imageName = "ILSVRC2012_val_00000003.JPEG";
checker.AddImageResult<TContainer>(imageName, outputTensor3);
// Top 1 Accuracy
totalAccuracy = checker.GetAccuracy(1);
BOOST_CHECK(totalAccuracy == 33.3333321f);
// Top 2 Accuracy
totalAccuracy = checker.GetAccuracy(2);
BOOST_CHECK(totalAccuracy == 66.6666641f);
// Top 3 Accuracy
totalAccuracy = checker.GetAccuracy(3);
BOOST_CHECK(totalAccuracy == 100.0f);
}
BOOST_AUTO_TEST_SUITE_END()
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