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authorGravatar Craig Tiller <ctiller@google.com>2017-04-21 15:43:27 -0700
committerGravatar Craig Tiller <ctiller@google.com>2017-04-21 15:43:27 -0700
commitee880fd373e7d08e9dbd2e4560b5ba2cca094753 (patch)
tree97f51547b45e80d7a1f8b671f873ad865f2d5673 /tools/profiling/microbenchmarks
parente1523e95c102a3eec48fef34350bca206c0a6546 (diff)
parent1a0b4cf5eef9542ccb9ad7263a17938bf882bd0f (diff)
Merge github.com:grpc/grpc into count_now
Diffstat (limited to 'tools/profiling/microbenchmarks')
-rwxr-xr-xtools/profiling/microbenchmarks/bm_diff.py261
-rw-r--r--tools/profiling/microbenchmarks/bm_json.py25
-rw-r--r--tools/profiling/microbenchmarks/speedup.py67
3 files changed, 287 insertions, 66 deletions
diff --git a/tools/profiling/microbenchmarks/bm_diff.py b/tools/profiling/microbenchmarks/bm_diff.py
index 14ea24f65e..09b62ae1c9 100755
--- a/tools/profiling/microbenchmarks/bm_diff.py
+++ b/tools/profiling/microbenchmarks/bm_diff.py
@@ -33,6 +33,30 @@ import json
import bm_json
import tabulate
import argparse
+from scipy import stats
+import subprocess
+import multiprocessing
+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
+import jobset
+import itertools
+import speedup
+import random
+import shutil
+import errno
+
+_INTERESTING = (
+ 'cpu_time',
+ 'real_time',
+ 'locks_per_iteration',
+ 'allocs_per_iteration',
+ 'writes_per_iteration',
+ 'atm_cas_per_iteration',
+ 'atm_add_per_iteration',
+)
def changed_ratio(n, o):
if float(o) <= .0001: o = 0
@@ -41,78 +65,185 @@ def changed_ratio(n, o):
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
-_INTERESTING = {
- 'cpu_time': min_change(10),
- 'real_time': min_change(10),
- 'locks_per_iteration': min_change(5),
- 'allocs_per_iteration': min_change(5),
- 'writes_per_iteration': min_change(5),
- 'atm_cas_per_iteration': min_change(1),
- 'atm_add_per_iteration': min_change(5),
-}
+_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',
- choices=sorted(_INTERESTING.keys()),
+ choices=sorted(_INTERESTING),
nargs='+',
- default=sorted(_INTERESTING.keys()),
+ default=sorted(_INTERESTING),
help='Which metrics to track')
-argp.add_argument('files', metavar='bm_file.json', type=str, nargs=4,
- help='files to diff. ')
+argp.add_argument('-b', '--benchmarks', nargs='+', choices=_AVAILABLE_BENCHMARK_TESTS, default=['bm_cq'])
+argp.add_argument('-d', '--diff_base', type=str)
+argp.add_argument('-r', '--repetitions', type=int, default=1)
+argp.add_argument('-l', '--loops', type=int, default=20)
+argp.add_argument('-j', '--jobs', type=int, default=multiprocessing.cpu_count())
args = argp.parse_args()
-with open(args.files[0]) as f:
- js_new_ctr = json.loads(f.read())
-with open(args.files[1]) as f:
- js_new_opt = json.loads(f.read())
-with open(args.files[2]) as f:
- js_old_ctr = json.loads(f.read())
-with open(args.files[3]) as f:
- js_old_opt = json.loads(f.read())
-
-new = {}
-old = {}
-
-for row in bm_json.expand_json(js_new_ctr, js_new_opt):
- new[row['cpp_name']] = row
-for row in bm_json.expand_json(js_old_ctr, js_old_opt):
- old[row['cpp_name']] = row
-
-changed = []
-for fld in args.track:
- chk = _INTERESTING[fld]
- for bm in new.keys():
- if bm not in old: continue
- n = new[bm]
- o = old[bm]
- if fld not in n or fld not in o: continue
- if chk(n[fld], o[fld]):
- changed.append((fld, chk))
- break
-
-headers = ['Benchmark'] + [c[0] for c in changed] + ['Details']
-rows = []
-for bm in sorted(new.keys()):
- if bm not in old: continue
- row = [bm]
- any_changed = False
- n = new[bm]
- o = old[bm]
- details = ''
- for fld in args.track:
- chk = _INTERESTING[fld]
- if fld not in n or fld not in o: continue
- if chk(n[fld], o[fld]):
- row.append(changed_ratio(n[fld], o[fld]))
- if details: details += ', '
- details += '%s:%r-->%r' % (fld, float(o[fld]), float(n[fld]))
- any_changed = True
- else:
- row.append('')
- if any_changed:
- row.append(details)
- rows.append(row)
-print tabulate.tabulate(rows, headers=headers, floatfmt='+.2f')
+assert args.diff_base
+
+def avg(lst):
+ sum = 0.0
+ n = 0.0
+ for el in lst:
+ sum += el
+ n += 1
+ return sum / n
+
+def make_cmd(cfg):
+ return ['make'] + args.benchmarks + [
+ 'CONFIG=%s' % cfg, '-j', '%d' % args.jobs]
+
+def build(dest):
+ shutil.rmtree('bm_diff_%s' % dest, ignore_errors=True)
+ subprocess.check_call(['git', 'submodule', 'update'])
+ try:
+ subprocess.check_call(make_cmd('opt'))
+ subprocess.check_call(make_cmd('counters'))
+ except subprocess.CalledProcessError, e:
+ subprocess.check_call(['make', 'clean'])
+ subprocess.check_call(make_cmd('opt'))
+ subprocess.check_call(make_cmd('counters'))
+ os.rename('bins', 'bm_diff_%s' % dest)
+
+def collect1(bm, cfg, ver, idx):
+ 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),
+ 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'])
+
+jobs = []
+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):
+ for f in args.track:
+ if f in data:
+ self.samples[new][f].append(float(data[f]))
+
+ def process(self):
+ 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)
+ s = speedup.speedup(new, old)
+ if abs(s) > 3 and mdn_diff > 0.5:
+ self.final[f] = '%+d%%' % s
+ return self.final.keys()
+
+ 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):
+ with open(filename) as f: return json.loads(f.read())
+
+
+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))
+
+ 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)
+ 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'
+ comment_on_pr.comment_on_pr('```\n%s\n```' % text)
+ print text
+
+
+eintr_be_gone(finalize)
diff --git a/tools/profiling/microbenchmarks/bm_json.py b/tools/profiling/microbenchmarks/bm_json.py
index 4695f829f4..917269823d 100644
--- a/tools/profiling/microbenchmarks/bm_json.py
+++ b/tools/profiling/microbenchmarks/bm_json.py
@@ -101,6 +101,26 @@ _BM_SPECS = {
'BM_PollEmptyPollset_SpeedOfLight': {
'tpl': [],
'dyn': ['request_size', 'request_count'],
+ },
+ 'BM_StreamCreateSendInitialMetadataDestroy': {
+ 'tpl': ['fixture'],
+ 'dyn': [],
+ },
+ 'BM_TransportStreamSend': {
+ 'tpl': [],
+ 'dyn': ['request_size'],
+ },
+ 'BM_TransportStreamRecv': {
+ 'tpl': [],
+ 'dyn': ['request_size'],
+ },
+ 'BM_StreamingPingPongWithCoalescingApi': {
+ 'tpl': ['fixture', 'client_mutator', 'server_mutator'],
+ 'dyn': ['request_size', 'request_count', 'end_of_stream'],
+ },
+ 'BM_Base16SomeStuff': {
+ 'tpl': [],
+ 'dyn': ['request_size'],
}
}
@@ -159,6 +179,7 @@ def parse_name(name):
def expand_json(js, js2 = None):
for bm in js['benchmarks']:
+ if bm['name'].endswith('_stddev') or bm['name'].endswith('_mean'): continue
context = js['context']
if 'label' in bm:
labels_list = [s.split(':') for s in bm['label'].strip().split(' ') if len(s) and s[0] != '#']
@@ -177,8 +198,10 @@ def expand_json(js, js2 = None):
row.update(labels)
if js2:
for bm2 in js2['benchmarks']:
- if bm['name'] == bm2['name']:
+ if bm['name'] == bm2['name'] and 'already_used' not in bm2:
row['cpu_time'] = bm2['cpu_time']
row['real_time'] = bm2['real_time']
row['iterations'] = bm2['iterations']
+ bm2['already_used'] = True
+ break
yield row
diff --git a/tools/profiling/microbenchmarks/speedup.py b/tools/profiling/microbenchmarks/speedup.py
new file mode 100644
index 0000000000..8af0066c9d
--- /dev/null
+++ b/tools/profiling/microbenchmarks/speedup.py
@@ -0,0 +1,67 @@
+# 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.
+
+from scipy import stats
+import math
+
+_THRESHOLD = 1e-10
+
+def scale(a, mul):
+ return [x*mul for x in a]
+
+def cmp(a, b):
+ return stats.ttest_ind(a, b)
+
+def speedup(new, old):
+ s0, p0 = cmp(new, old)
+ if math.isnan(p0): return 0
+ if s0 == 0: return 0
+ if p0 > _THRESHOLD: return 0
+ if s0 < 0:
+ pct = 1
+ while pct < 101:
+ sp, pp = cmp(new, scale(old, 1 - pct/100.0))
+ if sp > 0: break
+ if pp > _THRESHOLD: break
+ pct += 1
+ return -(pct - 1)
+ else:
+ pct = 1
+ while pct < 100000:
+ sp, pp = cmp(new, scale(old, 1 + pct/100.0))
+ if sp < 0: break
+ if pp > _THRESHOLD: break
+ pct += 1
+ return pct - 1
+
+if __name__ == "__main__":
+ new=[66034560.0, 126765693.0, 99074674.0, 98588433.0, 96731372.0, 110179725.0, 103802110.0, 101139800.0, 102357205.0, 99016353.0, 98840824.0, 99585632.0, 98791720.0, 96171521.0, 95327098.0, 95629704.0, 98209772.0, 99779411.0, 100182488.0, 98354192.0, 99644781.0, 98546709.0, 99019176.0, 99543014.0, 99077269.0, 98046601.0, 99319039.0, 98542572.0, 98886614.0, 72560968.0]
+ old=[60423464.0, 71249570.0, 73213089.0, 73200055.0, 72911768.0, 72347798.0, 72494672.0, 72756976.0, 72116565.0, 71541342.0, 73442538.0, 74817383.0, 73007780.0, 72499062.0, 72404945.0, 71843504.0, 73245405.0, 72778304.0, 74004519.0, 73694464.0, 72919931.0, 72955481.0, 71583857.0, 71350467.0, 71836817.0, 70064115.0, 70355345.0, 72516202.0, 71716777.0, 71532266.0]
+ print speedup(new, old)
+ print speedup(old, new)