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#!/usr/bin/env python2.7
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#
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# Copyright 2017 gRPC authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" Python utility to run opt and counters benchmarks and save json output """
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import bm_constants
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import argparse
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import subprocess
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import multiprocessing
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import random
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import itertools
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import sys
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import os
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sys.path.append(
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os.path.join(
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os.path.dirname(sys.argv[0]), '..', '..', '..', 'run_tests',
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'python_utils'))
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import jobset
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def _args():
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argp = argparse.ArgumentParser(description='Runs microbenchmarks')
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argp.add_argument(
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'-b',
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'--benchmarks',
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nargs='+',
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choices=bm_constants._AVAILABLE_BENCHMARK_TESTS,
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default=bm_constants._AVAILABLE_BENCHMARK_TESTS,
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help='Benchmarks to run')
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argp.add_argument(
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'-j',
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'--jobs',
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type=int,
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default=multiprocessing.cpu_count(),
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help='Number of CPUs to use')
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argp.add_argument(
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'-n',
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'--name',
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type=str,
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help='Unique name of the build to run. Needs to match the handle passed to bm_build.py'
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)
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argp.add_argument(
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'-r',
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'--regex',
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type=str,
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default="",
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help='Regex to filter benchmarks run')
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argp.add_argument(
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'-l',
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'--loops',
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type=int,
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default=20,
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help='Number of times to loops the benchmarks. More loops cuts down on noise'
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)
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argp.add_argument('--counters', dest='counters', action='store_true')
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argp.add_argument('--no-counters', dest='counters', action='store_false')
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argp.set_defaults(counters=True)
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args = argp.parse_args()
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assert args.name
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if args.loops < 3:
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print "WARNING: This run will likely be noisy. Increase loops to at least 3."
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return args
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def _collect_bm_data(bm, cfg, name, regex, idx, loops):
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jobs_list = []
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for line in subprocess.check_output([
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'bm_diff_%s/%s/%s' % (name, cfg, bm), '--benchmark_list_tests',
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'--benchmark_filter=%s' % regex
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]).splitlines():
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stripped_line = line.strip().replace("/", "_").replace(
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"<", "_").replace(">", "_").replace(", ", "_")
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cmd = [
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'bm_diff_%s/%s/%s' % (name, cfg, bm),
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'--benchmark_filter=^%s$' % line,
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'--benchmark_out=%s.%s.%s.%s.%d.json' %
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(bm, stripped_line, cfg, name, idx),
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'--benchmark_out_format=json',
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]
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jobs_list.append(
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jobset.JobSpec(
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cmd,
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shortname='%s %s %s %s %d/%d' % (bm, line, cfg, name, idx + 1,
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loops),
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verbose_success=True,
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cpu_cost=2,
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timeout_seconds=60 * 60)) # one hour
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return jobs_list
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def create_jobs(name, benchmarks, loops, regex, counters):
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jobs_list = []
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for loop in range(0, loops):
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for bm in benchmarks:
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jobs_list += _collect_bm_data(bm, 'opt', name, regex, loop, loops)
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if counters:
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jobs_list += _collect_bm_data(bm, 'counters', name, regex, loop,
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loops)
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random.shuffle(jobs_list, random.SystemRandom().random)
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return jobs_list
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if __name__ == '__main__':
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args = _args()
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jobs_list = create_jobs(args.name, args.benchmarks, args.loops, args.regex,
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args.counters)
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jobset.run(jobs_list, maxjobs=args.jobs)
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