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#!/usr/bin/env python2.7
# Copyright 2017, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import sys
import json
import bm_json
import tabulate
import argparse
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from scipy import stats
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import subprocess
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import multiprocessing
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import collections
import pipes
import os
sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..', '..', 'run_tests', 'python_utils'))
import comment_on_pr
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import jobset
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import itertools
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import speedup
import random
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import shutil
import errno
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_INTERESTING = (
'cpu_time',
'real_time',
'locks_per_iteration',
'allocs_per_iteration',
'writes_per_iteration',
'atm_cas_per_iteration',
'atm_add_per_iteration',
'cli_transport_stalls_per_iteration',
'cli_stream_stalls_per_iteration',
'svr_transport_stalls_per_iteration',
'svr_stream_stalls_per_iteration'
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'nows_per_iteration',
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)
def changed_ratio(n, o):
if float(o) <= .0001: o = 0
if float(n) <= .0001: n = 0
if o == 0 and n == 0: return 0
if o == 0: return 100
return (float(n)-float(o))/float(o)
def median(ary):
ary = sorted(ary)
n = len(ary)
if n%2 == 0:
return (ary[n/2] + ary[n/2+1]) / 2.0
else:
return ary[n/2]
def min_change(pct):
return lambda n, o: abs(changed_ratio(n,o)) > pct/100.0
_AVAILABLE_BENCHMARK_TESTS = ['bm_fullstack_unary_ping_pong',
'bm_fullstack_streaming_ping_pong',
'bm_fullstack_streaming_pump',
'bm_closure',
'bm_cq',
'bm_call_create',
'bm_error',
'bm_chttp2_hpack',
'bm_chttp2_transport',
'bm_pollset',
'bm_metadata',
'bm_fullstack_trickle']
argp = argparse.ArgumentParser(description='Perform diff on microbenchmarks')
argp.add_argument('-t', '--track',
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choices=sorted(_INTERESTING),
nargs='+',
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default=sorted(_INTERESTING),
help='Which metrics to track')
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argp.add_argument('-b', '--benchmarks', nargs='+', choices=_AVAILABLE_BENCHMARK_TESTS, default=['bm_cq'])
argp.add_argument('-d', '--diff_base', type=str)
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argp.add_argument('-r', '--repetitions', type=int, default=1)
argp.add_argument('-l', '--loops', type=int, default=20)
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argp.add_argument('-j', '--jobs', type=int, default=multiprocessing.cpu_count())
args = argp.parse_args()
assert args.diff_base
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def avg(lst):
sum = 0.0
n = 0.0
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for el in lst:
sum += el
n += 1
return sum / n
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def make_cmd(cfg):
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return ['make'] + args.benchmarks + [
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'CONFIG=%s' % cfg, '-j', '%d' % args.jobs]
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def build(dest):
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shutil.rmtree('bm_diff_%s' % dest, ignore_errors=True)
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subprocess.check_call(['git', 'submodule', 'update'])
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try:
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subprocess.check_call(make_cmd('opt'))
subprocess.check_call(make_cmd('counters'))
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except subprocess.CalledProcessError, e:
subprocess.check_call(['make', 'clean'])
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subprocess.check_call(make_cmd('opt'))
subprocess.check_call(make_cmd('counters'))
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os.rename('bins', 'bm_diff_%s' % dest)
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def collect1(bm, cfg, ver, idx):
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cmd = ['bm_diff_%s/%s/%s' % (ver, cfg, bm),
'--benchmark_out=%s.%s.%s.%d.json' % (bm, cfg, ver, idx),
'--benchmark_out_format=json',
'--benchmark_repetitions=%d' % (args.repetitions)
]
return jobset.JobSpec(cmd, shortname='%s %s %s %d/%d' % (bm, cfg, ver, idx+1, args.loops),
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verbose_success=True, timeout_seconds=None)
build('new')
where_am_i = subprocess.check_output(['git', 'rev-parse', '--abbrev-ref', 'HEAD']).strip()
subprocess.check_call(['git', 'checkout', args.diff_base])
try:
build('old')
finally:
subprocess.check_call(['git', 'checkout', where_am_i])
subprocess.check_call(['git', 'submodule', 'update'])
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jobs = []
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for loop in range(0, args.loops):
jobs.extend(x for x in itertools.chain(
(collect1(bm, 'opt', 'new', loop) for bm in args.benchmarks),
(collect1(bm, 'counters', 'new', loop) for bm in args.benchmarks),
(collect1(bm, 'opt', 'old', loop) for bm in args.benchmarks),
(collect1(bm, 'counters', 'old', loop) for bm in args.benchmarks),
))
random.shuffle(jobs, random.SystemRandom().random)
jobset.run(jobs, maxjobs=args.jobs)
class Benchmark:
def __init__(self):
self.samples = {
True: collections.defaultdict(list),
False: collections.defaultdict(list)
}
self.final = {}
def add_sample(self, data, new):
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for f in args.track:
if f in data:
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self.samples[new][f].append(float(data[f]))
def process(self):
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for f in sorted(args.track):
new = self.samples[True][f]
old = self.samples[False][f]
if not new or not old: continue
mdn_diff = abs(median(new) - median(old))
print '%s: new=%r old=%r mdn_diff=%r' % (f, new, old, mdn_diff)
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s = speedup.speedup(new, old)
if abs(s) > 3 and mdn_diff > 0.5:
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self.final[f] = '%+d%%' % s
return self.final.keys()
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def skip(self):
return not self.final
def row(self, flds):
return [self.final[f] if f in self.final else '' for f in flds]
def eintr_be_gone(fn):
"""Run fn until it doesn't stop because of EINTR"""
while True:
try:
return fn()
except IOError, e:
if e.errno != errno.EINTR:
raise
def read_json(filename):
try:
with open(filename) as f: return json.loads(f.read())
except ValueError, e:
return None
def finalize():
benchmarks = collections.defaultdict(Benchmark)
for bm in args.benchmarks:
for loop in range(0, args.loops):
js_new_ctr = read_json('%s.counters.new.%d.json' % (bm, loop))
js_new_opt = read_json('%s.opt.new.%d.json' % (bm, loop))
js_old_ctr = read_json('%s.counters.old.%d.json' % (bm, loop))
js_old_opt = read_json('%s.opt.old.%d.json' % (bm, loop))
if js_new_ctr:
for row in bm_json.expand_json(js_new_ctr, js_new_opt):
print row
name = row['cpp_name']
if name.endswith('_mean') or name.endswith('_stddev'): continue
benchmarks[name].add_sample(row, True)
if js_old_ctr:
for row in bm_json.expand_json(js_old_ctr, js_old_opt):
print row
name = row['cpp_name']
if name.endswith('_mean') or name.endswith('_stddev'): continue
benchmarks[name].add_sample(row, False)
really_interesting = set()
for name, bm in benchmarks.items():
print name
really_interesting.update(bm.process())
fields = [f for f in args.track if f in really_interesting]
headers = ['Benchmark'] + fields
rows = []
for name in sorted(benchmarks.keys()):
if benchmarks[name].skip(): continue
rows.append([name] + benchmarks[name].row(fields))
if rows:
text = 'Performance differences noted:\n' + tabulate.tabulate(rows, headers=headers, floatfmt='+.2f')
else:
text = 'No significant performance differences'
print text
comment_on_pr.comment_on_pr('```\n%s\n```' % text)
eintr_be_gone(finalize)