aboutsummaryrefslogtreecommitdiffhomepage
path: root/tools/profiling/microbenchmarks/bm_diff.py
diff options
context:
space:
mode:
Diffstat (limited to 'tools/profiling/microbenchmarks/bm_diff.py')
-rwxr-xr-xtools/profiling/microbenchmarks/bm_diff.py253
1 files changed, 189 insertions, 64 deletions
diff --git a/tools/profiling/microbenchmarks/bm_diff.py b/tools/profiling/microbenchmarks/bm_diff.py
index 14ea24f65e..ba0c225f6c 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 +65,179 @@ 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=12)
+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']
+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 read_file(filename):
+ while True:
+ try:
+ with open(filename) as f:
+ return f.read()
+ except IOError, e:
+ if e.errno != errno.EINTR:
+ raise
+
+def read_json(filename):
+ return json.loads(read_file(filename))
+
+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 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')
+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