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/*
* Copyright (c) 2018 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 "InstrumentsStats.h"
#include "arm_compute/core/utils/misc/Utility.h"
namespace arm_compute
{
namespace test
{
namespace framework
{
InstrumentsStats::InstrumentsStats(const std::vector<Measurement> &measurements)
: _min(nullptr), _max(nullptr), _median(nullptr), _mean(measurements.begin()->value().is_floating_point), _stddev(0.0)
{
auto add_measurements = [](Measurement::Value a, const Measurement & b)
{
return a + b.value();
};
//Calculate min, max & median values
auto indices = arm_compute::utility::sort_indices(measurements);
_median = &measurements[indices[measurements.size() / 2]];
_min = &measurements[indices[0]];
_max = &measurements[indices[measurements.size() - 1]];
Measurement::Value sum_values = std::accumulate(measurements.begin(), measurements.end(), Measurement::Value(_min->value().is_floating_point), add_measurements);
// Calculate the relative standard deviation
_mean = sum_values / measurements.size();
std::vector<Measurement::Value> diff(measurements.size(), _min->value().is_floating_point);
std::transform(measurements.begin(), measurements.end(), diff.begin(), [&](const Measurement & x)
{
return x.value() - _mean;
});
auto sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), Measurement::Value(_min->value().is_floating_point));
auto variance = sq_sum / measurements.size();
_stddev = Measurement::Value::relative_standard_deviation(variance, _mean);
}
} // namespace framework
} // namespace test
} // namespace arm_compute
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