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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include "../QuantizationDataSet.hpp"
#include <armnn/Optional.hpp>
#include <Filesystem.hpp>
#include <iostream>
#include <fstream>
#include <vector>
#include <map>
using namespace armnnQuantizer;
struct CsvTestHelper {
CsvTestHelper()
{
BOOST_TEST_MESSAGE("setup fixture");
}
~CsvTestHelper()
{
BOOST_TEST_MESSAGE("teardown fixture");
TearDown();
}
std::string CreateTempCsvFile(std::map<int, std::vector<float>> csvData)
{
fs::path fileDir = fs::temp_directory_path();
fs::path p = armnnUtils::Filesystem::NamedTempFile("Armnn-QuantizationCreateTempCsvFileTest-TempFile.csv");
fs::path tensorInput1{fileDir / "input_0_0.raw"};
fs::path tensorInput2{fileDir / "input_1_0.raw"};
fs::path tensorInput3{fileDir / "input_2_0.raw"};
try
{
std::ofstream ofs{p};
std::ofstream ofs1{tensorInput1};
std::ofstream ofs2{tensorInput2};
std::ofstream ofs3{tensorInput3};
for(auto entry : csvData.at(0))
{
ofs1 << entry << " ";
}
for(auto entry : csvData.at(1))
{
ofs2 << entry << " ";
}
for(auto entry : csvData.at(2))
{
ofs3 << entry << " ";
}
ofs << "0, 0, " << tensorInput1.c_str() << std::endl;
ofs << "2, 0, " << tensorInput3.c_str() << std::endl;
ofs << "1, 0, " << tensorInput2.c_str() << std::endl;
ofs.close();
ofs1.close();
ofs2.close();
ofs3.close();
}
catch (std::exception &e)
{
std::cerr << "Unable to write to file at location [" << p.c_str() << "] : " << e.what() << std::endl;
BOOST_TEST(false);
}
m_CsvFile = p;
return p.string();
}
void TearDown()
{
RemoveCsvFile();
}
void RemoveCsvFile()
{
if (m_CsvFile)
{
try
{
fs::remove(m_CsvFile.value());
}
catch (std::exception &e)
{
std::cerr << "Unable to delete file [" << m_CsvFile.value() << "] : " << e.what() << std::endl;
BOOST_TEST(false);
}
}
}
armnn::Optional<fs::path> m_CsvFile;
};
BOOST_AUTO_TEST_SUITE(QuantizationDataSetTests)
BOOST_FIXTURE_TEST_CASE(CheckDataSet, CsvTestHelper)
{
std::map<int, std::vector<float>> csvData;
csvData.insert(std::pair<int, std::vector<float>>(0, { 0.111111f, 0.222222f, 0.333333f }));
csvData.insert(std::pair<int, std::vector<float>>(1, { 0.444444f, 0.555555f, 0.666666f }));
csvData.insert(std::pair<int, std::vector<float>>(2, { 0.777777f, 0.888888f, 0.999999f }));
std::string myCsvFile = CsvTestHelper::CreateTempCsvFile(csvData);
QuantizationDataSet dataSet(myCsvFile);
BOOST_TEST(!dataSet.IsEmpty());
int csvRow = 0;
for(armnnQuantizer::QuantizationInput input : dataSet)
{
BOOST_TEST(input.GetPassId() == csvRow);
BOOST_TEST(input.GetLayerBindingIds().size() == 1);
BOOST_TEST(input.GetLayerBindingIds()[0] == 0);
BOOST_TEST(input.GetDataForEntry(0).size() == 3);
// Check that QuantizationInput data for binding ID 0 corresponds to float values
// used for populating the CSV file using by QuantizationDataSet
BOOST_TEST(input.GetDataForEntry(0).at(0) == csvData.at(csvRow).at(0));
BOOST_TEST(input.GetDataForEntry(0).at(1) == csvData.at(csvRow).at(1));
BOOST_TEST(input.GetDataForEntry(0).at(2) == csvData.at(csvRow).at(2));
++csvRow;
}
}
BOOST_AUTO_TEST_SUITE_END();
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