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#!/usr/bin/env python2.7
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#
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# Copyright 2017 gRPC authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" Computes the diff between two bm runs and outputs significant results """
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import bm_constants
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import bm_speedup
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import sys
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import os
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sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..'))
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import bm_json
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import json
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import tabulate
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import argparse
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import collections
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import subprocess
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verbose = False
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def _median(ary):
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assert (len(ary))
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ary = sorted(ary)
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n = len(ary)
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if n % 2 == 0:
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return (ary[(n - 1) / 2] + ary[(n - 1) / 2 + 1]) / 2.0
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else:
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return ary[n / 2]
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def _args():
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argp = argparse.ArgumentParser(
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description='Perform diff on microbenchmarks')
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argp.add_argument(
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'-t',
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'--track',
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choices=sorted(bm_constants._INTERESTING),
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nargs='+',
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default=sorted(bm_constants._INTERESTING),
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help='Which metrics to track')
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argp.add_argument(
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'-b',
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'--benchmarks',
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nargs='+',
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choices=bm_constants._AVAILABLE_BENCHMARK_TESTS,
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default=bm_constants._AVAILABLE_BENCHMARK_TESTS,
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help='Which benchmarks to run')
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argp.add_argument(
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'-l',
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'--loops',
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type=int,
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default=20,
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help='Number of times to loops the benchmarks. Must match what was passed to bm_run.py'
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)
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argp.add_argument('--counters', dest='counters', action='store_true')
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argp.add_argument('--no-counters', dest='counters', action='store_false')
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argp.set_defaults(counters=True)
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argp.add_argument('-n', '--new', type=str, help='New benchmark name')
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argp.add_argument('-o', '--old', type=str, help='Old benchmark name')
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argp.add_argument(
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'-v', '--verbose', type=bool, help='Print details of before/after')
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args = argp.parse_args()
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global verbose
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if args.verbose: verbose = True
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assert args.new
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assert args.old
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return args
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def _maybe_print(str):
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if verbose: print str
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class Benchmark:
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def __init__(self):
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self.samples = {
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True: collections.defaultdict(list),
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False: collections.defaultdict(list)
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}
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self.final = {}
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def add_sample(self, track, data, new):
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for f in track:
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if f in data:
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self.samples[new][f].append(float(data[f]))
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def process(self, track, new_name, old_name):
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for f in sorted(track):
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new = self.samples[True][f]
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old = self.samples[False][f]
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if not new or not old: continue
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mdn_diff = abs(_median(new) - _median(old))
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_maybe_print('%s: %s=%r %s=%r mdn_diff=%r' %
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(f, new_name, new, old_name, old, mdn_diff))
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s = bm_speedup.speedup(new, old, 1e-5)
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if abs(s) > 3:
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if mdn_diff > 0.5 or 'trickle' in f:
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self.final[f] = '%+d%%' % s
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return self.final.keys()
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def skip(self):
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return not self.final
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def row(self, flds):
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return [self.final[f] if f in self.final else '' for f in flds]
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def _read_json(filename, badjson_files, nonexistant_files):
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stripped = ".".join(filename.split(".")[:-2])
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try:
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with open(filename) as f:
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r = f.read();
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return json.loads(r)
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except IOError, e:
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if stripped in nonexistant_files:
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nonexistant_files[stripped] += 1
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else:
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nonexistant_files[stripped] = 1
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return None
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except ValueError, e:
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print r
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if stripped in badjson_files:
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badjson_files[stripped] += 1
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else:
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badjson_files[stripped] = 1
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return None
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def fmt_dict(d):
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return ''.join([" " + k + ": " + str(d[k]) + "\n" for k in d])
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def diff(bms, loops, regex, track, old, new, counters):
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benchmarks = collections.defaultdict(Benchmark)
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badjson_files = {}
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nonexistant_files = {}
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for bm in bms:
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for loop in range(0, loops):
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for line in subprocess.check_output(
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['bm_diff_%s/opt/%s' % (old, bm),
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'--benchmark_list_tests',
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'--benchmark_filter=%s' % regex]).splitlines():
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stripped_line = line.strip().replace("/", "_").replace(
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"<", "_").replace(">", "_").replace(", ", "_")
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js_new_opt = _read_json('%s.%s.opt.%s.%d.json' %
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(bm, stripped_line, new, loop),
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badjson_files, nonexistant_files)
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js_old_opt = _read_json('%s.%s.opt.%s.%d.json' %
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(bm, stripped_line, old, loop),
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badjson_files, nonexistant_files)
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if counters:
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js_new_ctr = _read_json('%s.%s.counters.%s.%d.json' %
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(bm, stripped_line, new, loop),
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badjson_files, nonexistant_files)
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js_old_ctr = _read_json('%s.%s.counters.%s.%d.json' %
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(bm, stripped_line, old, loop),
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badjson_files, nonexistant_files)
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else:
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js_new_ctr = None
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js_old_ctr = None
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for row in bm_json.expand_json(js_new_ctr, js_new_opt):
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name = row['cpp_name']
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if name.endswith('_mean') or name.endswith('_stddev'):
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continue
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benchmarks[name].add_sample(track, row, True)
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for row in bm_json.expand_json(js_old_ctr, js_old_opt):
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name = row['cpp_name']
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if name.endswith('_mean') or name.endswith('_stddev'):
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continue
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benchmarks[name].add_sample(track, row, False)
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really_interesting = set()
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for name, bm in benchmarks.items():
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_maybe_print(name)
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really_interesting.update(bm.process(track, new, old))
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fields = [f for f in track if f in really_interesting]
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headers = ['Benchmark'] + fields
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rows = []
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for name in sorted(benchmarks.keys()):
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if benchmarks[name].skip(): continue
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rows.append([name] + benchmarks[name].row(fields))
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note = None
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if len(badjson_files):
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note = 'Corrupt JSON data (indicates timeout or crash): \n%s' % fmt_dict(badjson_files)
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if len(nonexistant_files):
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if note:
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note += '\n\nMissing files (indicates new benchmark): \n%s' % fmt_dict(nonexistant_files)
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else:
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note = '\n\nMissing files (indicates new benchmark): \n%s' % fmt_dict(nonexistant_files)
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if rows:
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return tabulate.tabulate(rows, headers=headers, floatfmt='+.2f'), note
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else:
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return None, note
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if __name__ == '__main__':
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args = _args()
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diff, note = diff(args.benchmarks, args.loops, args.track, args.old,
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args.new, args.counters)
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print('%s\n%s' % (note, diff if diff else "No performance differences"))
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