1 /*
2 * Copyright (c) 2018 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "InstrumentsStats.h"
25 #include "arm_compute/core/utils/misc/Utility.h"
26
27 namespace arm_compute
28 {
29 namespace test
30 {
31 namespace framework
32 {
InstrumentsStats(const std::vector<Measurement> & measurements)33 InstrumentsStats::InstrumentsStats(const std::vector<Measurement> &measurements)
34 : _min(nullptr), _max(nullptr), _median(nullptr), _mean(measurements.begin()->value().is_floating_point), _stddev(0.0)
35 {
36 auto add_measurements = [](Measurement::Value a, const Measurement & b)
37 {
38 return a + b.value();
39 };
40
41 //Calculate min, max & median values
42 auto indices = arm_compute::utility::sort_indices(measurements);
43 _median = &measurements[indices[measurements.size() / 2]];
44 _min = &measurements[indices[0]];
45 _max = &measurements[indices[measurements.size() - 1]];
46
47 Measurement::Value sum_values = std::accumulate(measurements.begin(), measurements.end(), Measurement::Value(_min->value().is_floating_point), add_measurements);
48
49 // Calculate the relative standard deviation
50 _mean = sum_values / measurements.size();
51 std::vector<Measurement::Value> diff(measurements.size(), _min->value().is_floating_point);
52 std::transform(measurements.begin(), measurements.end(), diff.begin(), [&](const Measurement & x)
53 {
54 return x.value() - _mean;
55 });
56 auto sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), Measurement::Value(_min->value().is_floating_point));
57 auto variance = sq_sum / measurements.size();
58 _stddev = Measurement::Value::relative_standard_deviation(variance, _mean);
59 }
60 } // namespace framework
61 } // namespace test
62 } // namespace arm_compute
63