63 lines
2.7 KiB
C++
63 lines
2.7 KiB
C++
/*
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* Copyright (c) 2018 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "InstrumentsStats.h"
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#include "arm_compute/core/utils/misc/Utility.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace framework
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{
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InstrumentsStats::InstrumentsStats(const std::vector<Measurement> &measurements)
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: _min(nullptr), _max(nullptr), _median(nullptr), _mean(measurements.begin()->value().is_floating_point), _stddev(0.0)
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{
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auto add_measurements = [](Measurement::Value a, const Measurement & b)
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{
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return a + b.value();
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};
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//Calculate min, max & median values
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auto indices = arm_compute::utility::sort_indices(measurements);
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_median = &measurements[indices[measurements.size() / 2]];
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_min = &measurements[indices[0]];
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_max = &measurements[indices[measurements.size() - 1]];
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Measurement::Value sum_values = std::accumulate(measurements.begin(), measurements.end(), Measurement::Value(_min->value().is_floating_point), add_measurements);
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// Calculate the relative standard deviation
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_mean = sum_values / measurements.size();
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std::vector<Measurement::Value> diff(measurements.size(), _min->value().is_floating_point);
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std::transform(measurements.begin(), measurements.end(), diff.begin(), [&](const Measurement & x)
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{
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return x.value() - _mean;
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});
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auto sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), Measurement::Value(_min->value().is_floating_point));
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auto variance = sq_sum / measurements.size();
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_stddev = Measurement::Value::relative_standard_deviation(variance, _mean);
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}
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} // namespace framework
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} // namespace test
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} // namespace arm_compute
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