blob: 085b2b900d871778a827993ca84a2372dbcf00d1 [file] [log] [blame]
/*
* Copyright (c) 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "PrettyPrinter.h"
#include "../Framework.h"
#include "../instruments/Measurement.h"
#include <algorithm>
namespace arm_compute
{
namespace test
{
namespace framework
{
std::string PrettyPrinter::begin_color(const std::string &color) const
{
if(!_color_output)
{
return "";
}
return "\033[0;3" + color + "m";
}
std::string PrettyPrinter::end_color() const
{
if(!_color_output)
{
return "";
}
return "\033[m";
}
void PrettyPrinter::set_color_output(bool color_output)
{
_color_output = color_output;
}
void PrettyPrinter::print_entry(const std::string &name, const std::string &value)
{
*_stream << begin_color("4") << name << " = " << value << end_color() << "\n";
}
void PrettyPrinter::print_global_header()
{
}
void PrettyPrinter::print_global_footer()
{
}
void PrettyPrinter::print_run_header()
{
}
void PrettyPrinter::print_run_footer()
{
}
void PrettyPrinter::print_test_header(const TestInfo &info)
{
*_stream << begin_color("2") << "Running [" << info.id << "] '" << info.name << "'" << end_color() << "\n";
}
void PrettyPrinter::print_test_footer()
{
}
void PrettyPrinter::print_errors_header()
{
}
void PrettyPrinter::print_errors_footer()
{
}
void PrettyPrinter::print_info(const std::string &info)
{
*_stream << begin_color("1") << "INFO: " << info << end_color() << "\n";
}
void PrettyPrinter::print_error(const std::exception &error, bool expected)
{
std::string prefix = expected ? "EXPECTED ERROR: " : "ERROR: ";
*_stream << begin_color("1") << prefix << error.what() << end_color() << "\n";
}
void PrettyPrinter::print_list_tests(const std::vector<TestInfo> &infos)
{
for(auto info : infos)
{
*_stream << "[" << info.id << ", " << info.mode << ", " << info.status << "] " << info.name << "\n";
}
}
void PrettyPrinter::print_measurements(const Profiler::MeasurementsMap &measurements)
{
for(const auto &instrument : measurements)
{
*_stream << begin_color("3") << " " << instrument.first << ":";
auto add_measurements = [](Measurement::Value a, const Measurement & b)
{
return a + b.value();
};
auto cmp_measurements = [](const Measurement & a, const Measurement & b)
{
return a.value() < b.value();
};
int num_values = instrument.second.size();
const auto minmax_values = std::minmax_element(instrument.second.begin(), instrument.second.end(), cmp_measurements);
Measurement::Value sum_values = std::accumulate(instrument.second.begin(), instrument.second.end(), Measurement::Value(minmax_values.first->value().is_floating_point), add_measurements);
// Calculate the median value
auto measurements = instrument.second;
std::nth_element(measurements.begin(), measurements.begin() + (num_values / 2), measurements.end(), cmp_measurements);
const auto median_value = measurements[num_values / 2];
// Calculate the relative standard deviation
auto mean_value = sum_values / num_values;
std::vector<Measurement::Value> diff(measurements.size(), minmax_values.first->value().is_floating_point);
std::transform(measurements.begin(), measurements.end(), diff.begin(), [mean_value](const Measurement & x)
{
return x.value() - mean_value;
});
auto sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), Measurement::Value(minmax_values.first->value().is_floating_point));
auto variance = sq_sum / measurements.size();
auto rsd = Measurement::Value::relative_standard_deviation(variance, mean_value);
if(num_values > 2)
{
sum_values -= minmax_values.first->value() + minmax_values.second->value();
num_values -= 2;
}
*_stream << " ";
*_stream << "MEDIAN=" << median_value.value() << " " << median_value.unit() << ", ";
*_stream << "AVG=" << (sum_values / num_values) << " " << minmax_values.second->unit() << ", ";
*_stream << "STDDEV=" << arithmetic_to_string(rsd, 2) << " %, ";
if(num_values > 1)
{
*_stream << "MIN=" << *minmax_values.first << ", ";
*_stream << "MAX=" << *minmax_values.second;
}
*_stream << end_color() << "\n";
}
}
} // namespace framework
} // namespace test
} // namespace arm_compute