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#!/usr/bin/env python2.7
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# Copyright 2017, Google Inc.
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met:
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#
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above
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# copyright notice, this list of conditions and the following disclaimer
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# in the documentation and/or other materials provided with the
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# distribution.
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# * Neither the name of Google Inc. nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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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 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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'--repetitions',
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type=int,
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default=1,
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help='Number of repetitions to pass to the benchmarks')
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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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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."
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return args
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def _collect_bm_data(bm, cfg, name, reps, idx, loops):
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cmd = [
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'bm_diff_%s/%s/%s' % (name, cfg, bm),
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'--benchmark_out=%s.%s.%s.%d.json' % (bm, cfg, name, idx),
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'--benchmark_out_format=json', '--benchmark_repetitions=%d' % (reps)
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]
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return jobset.JobSpec(
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cmd,
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shortname='%s %s %s %d/%d' % (bm, cfg, name, idx + 1, loops),
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verbose_success=True,
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timeout_seconds=None)
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def run(name, benchmarks, jobs, loops, reps):
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jobs_list = []
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for loop in range(0, loops):
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jobs_list.extend(
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x
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for x in itertools.chain(
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(_collect_bm_data(bm, 'opt', name, reps, loop, loops)
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for bm in benchmarks),
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(_collect_bm_data(bm, 'counters', name, reps, loop, loops)
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for bm in benchmarks),))
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random.shuffle(jobs_list, random.SystemRandom().random)
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jobset.run(jobs_list, maxjobs=jobs)
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if __name__ == '__main__':
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args = _args()
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run(args.name, args.benchmarks, args.jobs, args.loops, args.repetitions)
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