| #!/usr/bin/python |
| # |
| # Copyright 2015 The ANGLE Project Authors. All rights reserved. |
| # Use of this source code is governed by a BSD-style license that can be |
| # found in the LICENSE file. |
| # |
| # perf_test_runner.py: |
| # Helper script for running and analyzing perftest results. Runs the |
| # tests in an infinite batch, printing out the mean and standard |
| # deviation of the population continuously. |
| # |
| |
| import subprocess |
| import sys |
| import os |
| import re |
| |
| base_path = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')) |
| |
| # You might have to re-order these to find the specific version you want. |
| perftests_paths = [ |
| os.path.join('src', 'tests', 'Release_x64'), |
| os.path.join('src', 'tests', 'Release_Win32'), |
| os.path.join('out', 'Release_x64'), |
| os.path.join('out', 'Release'), |
| os.path.join('gyp', 'Release_x64'), |
| os.path.join('gyp', 'Release_Win32') |
| ] |
| metric = 'score' |
| |
| binary_name = 'angle_perftests' |
| if sys.platform == 'win32': |
| binary_name += '.exe' |
| |
| scores = [] |
| |
| # Danke to http://stackoverflow.com/a/27758326 |
| def mean(data): |
| """Return the sample arithmetic mean of data.""" |
| n = len(data) |
| if n < 1: |
| raise ValueError('mean requires at least one data point') |
| return float(sum(data))/float(n) # in Python 2 use sum(data)/float(n) |
| |
| def _ss(data): |
| """Return sum of square deviations of sequence data.""" |
| c = mean(data) |
| ss = sum((float(x)-c)**2 for x in data) |
| return ss |
| |
| def pstdev(data): |
| """Calculates the population standard deviation.""" |
| n = len(data) |
| if n < 2: |
| raise ValueError('variance requires at least two data points') |
| ss = _ss(data) |
| pvar = ss/n # the population variance |
| return pvar**0.5 |
| |
| def truncated_list(data, n): |
| """Compute a truncated list, n is truncation size""" |
| if len(data) < n * 2: |
| raise ValueError('list not large enough to truncate') |
| return sorted(data)[n:-n] |
| |
| def truncated_mean(data, n): |
| return mean(truncated_list(data, n)) |
| |
| def truncated_stddev(data, n): |
| return pstdev(truncated_list(data, n)) |
| |
| # Find most recent binary |
| newest_binary = None |
| newest_mtime = None |
| |
| for path in perftests_paths: |
| binary_path = os.path.join(base_path, path, binary_name) |
| if os.path.exists(binary_path): |
| binary_mtime = os.path.getmtime(binary_path) |
| if (newest_binary is None) or (binary_mtime > newest_mtime): |
| newest_binary = binary_path |
| newest_mtime = binary_mtime |
| |
| perftests_path = newest_binary |
| |
| if perftests_path == None or not os.path.exists(perftests_path): |
| print('Cannot find Release %s!' % binary_name) |
| sys.exit(1) |
| |
| if sys.platform == 'win32': |
| test_name = 'DrawCallPerfBenchmark.Run/d3d11_null' |
| else: |
| test_name = 'DrawCallPerfBenchmark.Run/gl' |
| |
| if len(sys.argv) >= 2: |
| test_name = sys.argv[1] |
| |
| print('Using test executable: ' + perftests_path) |
| print('Test name: ' + test_name) |
| |
| # Infinite loop of running the tests. |
| while True: |
| output = subprocess.check_output([perftests_path, '--gtest_filter=' + test_name]) |
| |
| start_index = output.find(metric + "=") |
| if start_index == -1: |
| print("Did not find the score of the specified test in output:") |
| print(output) |
| sys.exit(1) |
| |
| start_index += len(metric) + 2 |
| |
| end_index = output[start_index:].find(" ") |
| if end_index == -1: |
| print("Error parsing output:") |
| print(output) |
| sys.exit(2) |
| |
| m = re.search('Running (\d+) tests', output) |
| if m and int(m.group(1)) > 1: |
| print("Found more than one test result in output:") |
| print(output) |
| sys.exit(3) |
| |
| end_index += start_index |
| |
| score = int(output[start_index:end_index]) |
| sys.stdout.write("score: " + str(score)) |
| |
| scores.append(score) |
| sys.stdout.write(", mean: " + str(mean(scores))) |
| |
| if (len(scores) > 1): |
| sys.stdout.write(", stddev: " + str(pstdev(scores))) |
| |
| if (len(scores) > 7): |
| trucation_n = len(scores) >> 3 |
| sys.stdout.write(", truncated mean: " + str(truncated_mean(scores, trucation_n))) |
| sys.stdout.write(", stddev: " + str(truncated_stddev(scores, trucation_n))) |
| |
| print("") |