8cb46b963a
BUG=skia:2469 NOTRY=true NOTREECHECKS=true R=caryclark@google.com TBR=caryclark@google.com Author: bensong@google.com Review URL: https://codereview.chromium.org/260053007 git-svn-id: http://skia.googlecode.com/svn/trunk@14422 2bbb7eff-a529-9590-31e7-b0007b416f81
124 lines
4.1 KiB
Python
124 lines
4.1 KiB
Python
#!/usr/bin/env python
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# Copyright (c) 2014 The Chromium Authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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""" Generate bench_expectations file from a given set of bench data files. """
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import argparse
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import bench_util
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import os
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import re
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import sys
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# Parameters for calculating bench ranges.
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RANGE_RATIO_UPPER = 1.2 # Ratio of range for upper bounds.
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RANGE_RATIO_LOWER = 1.8 # Ratio of range for lower bounds.
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ERR_RATIO = 0.08 # Further widens the range by the ratio of average value.
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ERR_ABS = 0.5 # Adds an absolute error margin to cope with very small benches.
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# List of bench configs to monitor. Ignore all other configs.
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CONFIGS_TO_INCLUDE = ['simple_viewport_1000x1000',
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'simple_viewport_1000x1000_gpu',
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'simple_viewport_1000x1000_scalar_1.100000',
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'simple_viewport_1000x1000_scalar_1.100000_gpu',
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]
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# List of flaky SKPs that should be excluded.
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SKPS_TO_EXCLUDE = ['desk_chalkboard.skp',
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]
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def compute_ranges(benches):
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"""Given a list of bench numbers, calculate the alert range.
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Args:
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benches: a list of float bench values.
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Returns:
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a list of float [lower_bound, upper_bound].
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"""
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minimum = min(benches)
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maximum = max(benches)
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diff = maximum - minimum
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avg = sum(benches) / len(benches)
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return [minimum - diff * RANGE_RATIO_LOWER - avg * ERR_RATIO - ERR_ABS,
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maximum + diff * RANGE_RATIO_UPPER + avg * ERR_RATIO + ERR_ABS]
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def create_expectations_dict(revision_data_points):
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"""Convert list of bench data points into a dictionary of expectations data.
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Args:
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revision_data_points: a list of BenchDataPoint objects.
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Returns:
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a dictionary of this form:
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keys = tuple of (config, bench) strings.
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values = list of float [expected, lower_bound, upper_bound] for the key.
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"""
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bench_dict = {}
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for point in revision_data_points:
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if (point.time_type or # Not walltime which has time_type ''
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not point.config in CONFIGS_TO_INCLUDE or
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point.bench in SKPS_TO_EXCLUDE):
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continue
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key = (point.config, point.bench)
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if key in bench_dict:
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raise Exception('Duplicate bench entry: ' + str(key))
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bench_dict[key] = [point.time] + compute_ranges(point.per_iter_time)
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return bench_dict
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def main():
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"""Reads bench data points, then calculate and export expectations.
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"""
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parser = argparse.ArgumentParser()
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parser.add_argument(
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'-a', '--representation_alg', default='25th',
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help='bench representation algorithm to use, see bench_util.py.')
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parser.add_argument(
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'-b', '--builder', required=True,
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help='name of the builder whose bench ranges we are computing.')
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parser.add_argument(
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'-d', '--input_dir', required=True,
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help='a directory containing bench data files.')
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parser.add_argument(
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'-o', '--output_file', required=True,
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help='file path and name for storing the output bench expectations.')
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parser.add_argument(
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'-r', '--git_revision', required=True,
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help='the git hash to indicate the revision of input data to use.')
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args = parser.parse_args()
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builder = args.builder
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data_points = bench_util.parse_skp_bench_data(
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args.input_dir, args.git_revision, args.representation_alg)
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expectations_dict = create_expectations_dict(data_points)
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out_lines = []
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keys = expectations_dict.keys()
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keys.sort()
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for (config, bench) in keys:
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(expected, lower_bound, upper_bound) = expectations_dict[(config, bench)]
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out_lines.append('%(bench)s_%(config)s_,%(builder)s-%(representation)s,'
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'%(expected)s,%(lower_bound)s,%(upper_bound)s' % {
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'bench': bench,
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'config': config,
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'builder': builder,
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'representation': args.representation_alg,
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'expected': expected,
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'lower_bound': lower_bound,
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'upper_bound': upper_bound})
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with open(args.output_file, 'w') as file_handle:
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file_handle.write('\n'.join(out_lines))
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if __name__ == "__main__":
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main()
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