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#!/usr/bin/env python2.7
#
# Copyright 2017 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" Python utility to run opt and counters benchmarks and save json output """
import bm_constants
import argparse
import subprocess
import multiprocessing
import random
import itertools
import sys
import os
sys.path.append(
os.path.join(
os.path.dirname(sys.argv[0]), '..', '..', '..', 'run_tests',
'python_utils'))
import jobset
def _args():
argp = argparse.ArgumentParser(description='Runs microbenchmarks')
argp.add_argument(
'-b',
'--benchmarks',
nargs='+',
choices=bm_constants._AVAILABLE_BENCHMARK_TESTS,
default=bm_constants._AVAILABLE_BENCHMARK_TESTS,
help='Benchmarks to run')
argp.add_argument(
'-j',
'--jobs',
type=int,
default=multiprocessing.cpu_count(),
help='Number of CPUs to use')
argp.add_argument(
'-n',
'--name',
type=str,
help='Unique name of the build to run. Needs to match the handle passed to bm_build.py'
)
argp.add_argument(
'-r',
'--repetitions',
type=int,
default=1,
help='Number of repetitions to pass to the benchmarks')
argp.add_argument(
'-l',
'--loops',
type=int,
default=20,
help='Number of times to loops the benchmarks. More loops cuts down on noise'
)
args = argp.parse_args()
assert args.name
if args.loops < 3:
print "WARNING: This run will likely be noisy. Increase loops to at least 3."
return args
def _collect_bm_data(bm, cfg, name, reps, idx, loops):
jobs_list = []
for line in subprocess.check_output(
['bm_diff_%s/%s/%s' % (name, cfg, bm),
'--benchmark_list_tests']).splitlines():
stripped_line = line.strip().replace("/", "_").replace(
"<", "_").replace(">", "_").replace(", ", "_")
cmd = [
'bm_diff_%s/%s/%s' % (name, cfg, bm), '--benchmark_filter=^%s$' %
line, '--benchmark_out=%s.%s.%s.%s.%d.json' %
(bm, stripped_line, cfg, name, idx), '--benchmark_out_format=json',
'--benchmark_repetitions=%d' % (reps)
]
jobs_list.append(
jobset.JobSpec(
cmd,
shortname='%s %s %s %s %d/%d' % (bm, line, cfg, name, idx + 1,
loops),
verbose_success=True,
timeout_seconds=60 * 2))
return jobs_list
def run(name, benchmarks, jobs, loops, reps):
jobs_list = []
for loop in range(0, loops):
for bm in benchmarks:
jobs_list += _collect_bm_data(bm, 'opt', name, reps, loop, loops)
jobs_list += _collect_bm_data(bm, 'counters', name, reps, loop,
loops)
random.shuffle(jobs_list, random.SystemRandom().random)
jobset.run(jobs_list, maxjobs=jobs)
if __name__ == '__main__':
args = _args()
run(args.name, args.benchmarks, args.jobs, args.loops, args.repetitions)
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