| #!/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 |
| 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 |
| |
| 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 |
| |
| nanos = { |
| 'abs_diff': 5, |
| 'pct_diff': 10, |
| } |
| counter = { |
| 'abs_diff': 0.5, |
| 'pct_diff': 10, |
| } |
| |
| _INTERESTING = { |
| 'cpu_time': nanos, |
| 'real_time': nanos, |
| 'locks_per_iteration': counter, |
| 'allocs_per_iteration': counter, |
| 'writes_per_iteration': counter, |
| 'atm_cas_per_iteration': counter, |
| 'atm_add_per_iteration': counter, |
| } |
| |
| |
| _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()), |
| nargs='+', |
| default=sorted(_INTERESTING.keys()), |
| help='Which metrics to track') |
| 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=4) |
| argp.add_argument('-p', '--p_threshold', type=float, default=0.01) |
| args = argp.parse_args() |
| |
| 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' % multiprocessing.cpu_count()] |
| |
| def build(): |
| 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')) |
| |
| def collect1(bm, cfg, ver): |
| cmd = ['bins/%s/%s' % (cfg, bm), |
| '--benchmark_out=%s.%s.%s.json' % (bm, cfg, ver), |
| '--benchmark_out_format=json', |
| '--benchmark_repetitions=%d' % (args.repetitions) |
| ] |
| print cmd |
| subprocess.check_call(cmd) |
| |
| build() |
| for bm in args.benchmarks: |
| collect1(bm, 'opt', 'new') |
| collect1(bm, 'counters', 'new') |
| |
| where_am_i = subprocess.check_output(['git', 'rev-parse', '--abbrev-ref', 'HEAD']).strip() |
| subprocess.check_call(['git', 'checkout', args.diff_base]) |
| |
| try: |
| build() |
| comparables = [] |
| for bm in args.benchmarks: |
| try: |
| collect1(bm, 'opt', 'old') |
| collect1(bm, 'counters', 'old') |
| comparables.append(bm) |
| except subprocess.CalledProcessError, e: |
| pass |
| finally: |
| subprocess.check_call(['git', 'checkout', where_am_i]) |
| subprocess.check_call(['git', 'submodule', 'update']) |
| |
| |
| 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 |
| p = stats.ttest_ind(new, old)[1] |
| new_mdn = median(new) |
| old_mdn = median(old) |
| delta = new_mdn - old_mdn |
| ratio = changed_ratio(new_mdn, old_mdn) |
| print '%s: new=%r old=%r new_mdn=%f old_mdn=%f delta=%f(%f:%f) ratio=%f(%f:%f) p=%f' % ( |
| f, new, old, new_mdn, old_mdn, delta, abs(delta), _INTERESTING[f]['abs_diff'], ratio, abs(ratio), _INTERESTING[f]['pct_diff']/100.0, p |
| ) |
| if p < args.p_threshold and abs(delta) > _INTERESTING[f]['abs_diff'] and abs(ratio) > _INTERESTING[f]['pct_diff']/100.0: |
| self.final[f] = delta |
| 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] |
| |
| |
| benchmarks = collections.defaultdict(Benchmark) |
| |
| for bm in comparables: |
| with open('%s.counters.new.json' % bm) as f: |
| js_new_ctr = json.loads(f.read()) |
| with open('%s.opt.new.json' % bm) as f: |
| js_new_opt = json.loads(f.read()) |
| with open('%s.counters.old.json' % bm) as f: |
| js_old_ctr = json.loads(f.read()) |
| with open('%s.opt.old.json' % bm) as f: |
| js_old_opt = json.loads(f.read()) |
| |
| 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 args.track] |
| |
| 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 |