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kc3-lang/angle/scripts/perf_test_runner.py

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  • Author : Brian Sheedy
    Date : 2019-08-16 14:09:13
    Hash : 2f4a7518
    Message : Refactor perf tests to fix metric/story swapping Refactors the perf tests to fix the issue of metric and story being swapped, which causes issues when trying to convert to histograms. Specifically, does the following: 1. Rolls the version of src/tests/perf_tests/third_party/perf/ to Chromium 476dae823269c8d05b544271af97ad1adb0db8ee 2. Switch to using PerfResultReporter instead of PrintResult directly. 3. Split RenderTestParams::suffix into backend and story; backend is used as part of the metric, while story is used as the story. 4. Remove the "average" metric that was being automatically reported by ANGLEPerfTest, as reported results are automatically averaged. 5. Update the reported metric to more clearly distinguish between test, backend, and metric. It is now name_backend.metric. e.g. DrawCallPerf_vulkan.wall_time. Bug: chromium:923564,chromium:924618 Change-Id: I00cc191407052f23df57dbfa53b6fb088fc26960 Reviewed-on: https://chromium-review.googlesource.com/c/angle/angle/+/1762360 Commit-Queue: Jamie Madill <jmadill@chromium.org> Reviewed-by: Jamie Madill <jmadill@chromium.org> Reviewed-by: Jonah Ryan-Davis <jonahr@google.com>

  • scripts/perf_test_runner.py
  • #!/usr/bin/python2
    #
    # 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 coefficient of
    #   variation of the population continuously.
    #
    
    import glob
    import subprocess
    import sys
    import os
    import re
    
    base_path = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..'))
    
    # Look for a [Rr]elease build.
    perftests_paths = glob.glob('out/*elease*')
    metric = 'wall_time'
    max_experiments = 10
    
    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 sum_of_square_deviations(data, c):
        """Return sum of square deviations of sequence data."""
        ss = sum((float(x) - c)**2 for x in data)
        return ss
    
    
    def coefficient_of_variation(data):
        """Calculates the population coefficient of variation."""
        n = len(data)
        if n < 2:
            raise ValueError('variance requires at least two data points')
        c = mean(data)
        ss = sum_of_square_deviations(data, c)
        pvar = ss / n  # the population variance
        stddev = (pvar**0.5)  # population standard deviation
        return stddev / c
    
    
    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):
        """Compute a truncated mean, n is truncation size"""
        return mean(truncated_list(data, n))
    
    
    def truncated_cov(data, n):
        """Compute a truncated coefficient of variation, n is truncation size"""
        return coefficient_of_variation(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)
    
    
    def get_results(metric, extra_args=[]):
        process = subprocess.Popen(
            [perftests_path, '--gtest_filter=' + test_name] + extra_args,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE)
        output, err = process.communicate()
    
        m = re.search(r'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)
    
        # Results are reported in the format:
        # name_backend.metric: story= value units.
        pattern = r'\.' + metric + r':.*= ([0-9.]+)'
        m = re.findall(pattern, output)
        if not m:
            print("Did not find the metric '%s' in the test output:" % metric)
            print(output)
            sys.exit(1)
    
        return [float(value) for value in m]
    
    
    # Calibrate the number of steps
    steps = get_results("steps", ["--calibration"])[0]
    print("running with %d steps." % steps)
    
    # Loop 'max_experiments' times, running the tests.
    for experiment in range(max_experiments):
        experiment_scores = get_results(metric, ["--steps", str(steps)])
    
        for score in experiment_scores:
            sys.stdout.write("%s: %.2f" % (metric, score))
            scores.append(score)
    
            if (len(scores) > 1):
                sys.stdout.write(", mean: %.2f" % mean(scores))
                sys.stdout.write(", variation: %.2f%%" % (coefficient_of_variation(scores) * 100.0))
    
            if (len(scores) > 7):
                truncation_n = len(scores) >> 3
                sys.stdout.write(", truncated mean: %.2f" % truncated_mean(scores, truncation_n))
                sys.stdout.write(", variation: %.2f%%" % (truncated_cov(scores, truncation_n) * 100.0))
    
            print("")