92b0f51b9b
Sample command: bench/gen_skp_ranges.py -r 7621:7621 It is slow due to cloud storage slowness. You can download the bench logs using gsutil and set the -d flag to make it super fast. Review URL: https://codereview.appspot.com/7307052 git-svn-id: http://skia.googlecode.com/svn/trunk@7629 2bbb7eff-a529-9590-31e7-b0007b416f81
158 lines
6.0 KiB
Python
Executable File
158 lines
6.0 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright (c) 2012 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 found
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# in the LICENSE file.
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""" Analyze recent SkPicture bench data, and output suggested ranges.
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The outputs can be edited and pasted to bench_expectations.txt to trigger
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buildbot alerts if the actual benches are out of range. Details are documented
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in the .txt file.
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Currently the easiest way to update bench_expectations.txt is to delete all skp
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bench lines, run this script, and redirect outputs (">>") to be added to the
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.txt file.
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TODO(bensong): find a better way for updating the bench lines in place.
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Note: since input data are stored in Google Storage, you will need to set up
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the corresponding library.
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See http://developers.google.com/storage/docs/gspythonlibrary for details.
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"""
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__author__ = 'bensong@google.com (Ben Chen)'
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import bench_util
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import boto
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import cStringIO
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import optparse
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import re
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import shutil
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from oauth2_plugin import oauth2_plugin
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# Ratios for calculating suggested picture bench upper and lower bounds.
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BENCH_UB = 1.1 # Allow for 10% room for normal variance on the up side.
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BENCH_LB = 0.85
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# Further allow for a fixed amount of noise. This is especially useful for
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# benches of smaller absolute value. Keeping this value small will not affect
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# performance tunings.
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BENCH_ALLOWED_NOISE = 10
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# List of platforms to track. Feel free to change it to meet your needs.
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PLATFORMS = [#'Mac_Float_Bench_32',
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'Nexus10_4-1_Float_Bench_32',
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#'Shuttle_Ubuntu12_ATI5770_Float_Bench_32',
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]
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# Filter for configs of no interest. They are old config names replaced by more
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# specific ones.
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CONFIGS_TO_FILTER = ['gpu', 'raster']
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# Template for gsutil uri.
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GOOGLE_STORAGE_URI_SCHEME = 'gs'
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URI_BUCKET = 'chromium-skia-gm'
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# Constants for optparse.
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USAGE_STRING = 'USAGE: %s [options]'
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HOWTO_STRING = """
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Feel free to revise PLATFORMS for your own needs. The default is the most common
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combination that we care most about. Platforms that did not run bench_pictures
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in the given revision range will not have corresponding outputs.
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Please check http://go/skpbench to choose a range that fits your needs.
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BENCH_UB, BENCH_LB and BENCH_ALLOWED_NOISE can be changed to expand or narrow
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the permitted bench ranges without triggering buidbot alerts.
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"""
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HELP_STRING = """
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Outputs expectation picture bench ranges for the latest revisions for the given
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revision range. For instance, --rev_range=6000:6000 will return only bench
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ranges for the bots that ran bench_pictures at rev 6000; --rev-range=6000:7000
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may have multiple bench data points for each bench configuration, and the code
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returns bench data for the latest revision of all available (closer to 7000).
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""" + HOWTO_STRING
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OPTION_REVISION_RANGE = '--rev-range'
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OPTION_REVISION_RANGE_SHORT = '-r'
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# Bench bench representation algorithm flag.
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OPTION_REPRESENTATION_ALG = '--algorithm'
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OPTION_REPRESENTATION_ALG_SHORT = '-a'
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# List of valid representation algorithms.
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REPRESENTATION_ALGS = ['avg', 'min', 'med', '25th']
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def OutputSkpBenchExpectations(rev_min, rev_max, representation_alg):
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"""Reads skp bench data from google storage, and outputs expectations.
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Ignores data with revisions outside [rev_min, rev_max] integer range. For
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bench data with multiple revisions, we use higher revisions to calculate
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expected bench values.
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Uses the provided representation_alg for calculating bench representations.
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"""
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expectation_dic = {}
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uri = boto.storage_uri(URI_BUCKET, GOOGLE_STORAGE_URI_SCHEME)
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for obj in uri.get_bucket():
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# Filters out non-skp-bench files.
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if ((not obj.name.startswith('perfdata/Skia_') and
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not obj.name.startswith('playback/perfdata/Skia_')) or
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obj.name.find('_data_skp_') < 0):
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continue
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# Ignores uninterested platforms.
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platform = obj.name.split('/')[1][5:] # Removes "Skia_" prefix.
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if platform not in PLATFORMS:
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continue
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# Filters by revision.
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to_filter = True
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for rev in range(rev_min, rev_max + 1):
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if '_r%s_' % rev in obj.name:
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to_filter = False
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break
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if to_filter:
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continue
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contents = cStringIO.StringIO()
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obj.get_file(contents)
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for point in bench_util.parse('', contents.getvalue().split('\n'),
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representation_alg):
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if point.config in CONFIGS_TO_FILTER:
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continue
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key = '%s_%s_%s,%s-%s' % (point.bench, point.config, point.time_type,
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platform, representation_alg)
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# It is fine to have later revisions overwrite earlier benches, since we
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# only use the latest bench within revision range to set expectations.
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expectation_dic[key] = point.time
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keys = expectation_dic.keys()
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keys.sort()
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for key in keys:
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bench_val = expectation_dic[key]
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# Prints out expectation lines.
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print '%s,%.3f,%.3f,%.3f' % (key, bench_val,
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bench_val * BENCH_LB - BENCH_ALLOWED_NOISE,
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bench_val * BENCH_UB + BENCH_ALLOWED_NOISE)
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def main():
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"""Parses flags and outputs expected Skia picture bench results."""
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parser = optparse.OptionParser(USAGE_STRING % '%prog' + HELP_STRING)
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parser.add_option(OPTION_REVISION_RANGE_SHORT, OPTION_REVISION_RANGE,
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dest='rev_range',
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help='(Mandatory) revision range separated by ":", e.g., 6000:6005')
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parser.add_option(OPTION_REPRESENTATION_ALG_SHORT, OPTION_REPRESENTATION_ALG,
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dest='alg', default='25th',
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help=('Bench representation algorithm. One of '
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'%s. Default to "25th".' % str(REPRESENTATION_ALGS)))
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(options, args) = parser.parse_args()
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if options.rev_range:
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range_match = re.search('(\d+)\:(\d+)', options.rev_range)
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if not range_match:
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parser.error('Wrong format for rev-range [%s]' % options.rev_range)
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else:
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rev_min = int(range_match.group(1))
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rev_max = int(range_match.group(2))
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OutputSkpBenchExpectations(rev_min, rev_max, options.alg)
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else:
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parser.error('Please provide mandatory flag %s' % OPTION_REVISION_RANGE)
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if '__main__' == __name__:
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main()
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