1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
|
#!/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.
""" Computes the diff between two bm runs and outputs significant results """
import bm_constants
import bm_speedup
import sys
import os
sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..'))
import bm_json
import json
import tabulate
import argparse
import collections
import subprocess
verbose = False
def _median(ary):
ary = sorted(ary)
n = len(ary)
if n % 2 == 0:
return (ary[(n - 1) / 2] + ary[(n - 1) / 2 + 1]) / 2.0
else:
return ary[n / 2]
def _args():
argp = argparse.ArgumentParser(
description='Perform diff on microbenchmarks')
argp.add_argument(
'-t',
'--track',
choices=sorted(bm_constants._INTERESTING),
nargs='+',
default=sorted(bm_constants._INTERESTING),
help='Which metrics to track')
argp.add_argument(
'-b',
'--benchmarks',
nargs='+',
choices=bm_constants._AVAILABLE_BENCHMARK_TESTS,
default=bm_constants._AVAILABLE_BENCHMARK_TESTS,
help='Which benchmarks to run')
argp.add_argument(
'-l',
'--loops',
type=int,
default=20,
help='Number of times to loops the benchmarks. Must match what was passed to bm_run.py'
)
argp.add_argument('-n', '--new', type=str, help='New benchmark name')
argp.add_argument('-o', '--old', type=str, help='Old benchmark name')
argp.add_argument(
'-v', '--verbose', type=bool, help='print details of before/after')
args = argp.parse_args()
global verbose
if args.verbose: verbose = True
assert args.new
assert args.old
return args
def _maybe_print(str):
if verbose: print str
class Benchmark:
def __init__(self):
self.samples = {
True: collections.defaultdict(list),
False: collections.defaultdict(list)
}
self.final = {}
def add_sample(self, track, data, new):
for f in track:
if f in data:
self.samples[new][f].append(float(data[f]))
def process(self, track, new_name, old_name):
for f in sorted(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))
_maybe_print('%s: %s=%r %s=%r mdn_diff=%r' %
(f, new_name, new, old_name, old, mdn_diff))
s = bm_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_json(filename, badjson_files, nonexistant_files):
stripped = ".".join(filename.split(".")[:-2])
try:
with open(filename) as f:
return json.loads(f.read())
except IOError, e:
if stripped in nonexistant_files:
nonexistant_files[stripped] += 1
else:
nonexistant_files[stripped] = 1
return None
except ValueError, e:
if stripped in badjson_files:
badjson_files[stripped] += 1
else:
badjson_files[stripped] = 1
return None
def diff(bms, loops, track, old, new):
benchmarks = collections.defaultdict(Benchmark)
badjson_files = {}
nonexistant_files = {}
for bm in bms:
for loop in range(0, loops):
for line in subprocess.check_output(
['bm_diff_%s/opt/%s' % (old, bm),
'--benchmark_list_tests']).splitlines():
stripped_line = line.strip().replace("/", "_").replace(
"<", "_").replace(">", "_").replace(", ", "_")
js_new_ctr = _read_json('%s.%s.counters.%s.%d.json' %
(bm, stripped_line, new, loop),
badjson_files, nonexistant_files)
js_new_opt = _read_json('%s.%s.opt.%s.%d.json' %
(bm, stripped_line, new, loop),
badjson_files, nonexistant_files)
js_old_ctr = _read_json('%s.%s.counters.%s.%d.json' %
(bm, stripped_line, old, loop),
badjson_files, nonexistant_files)
js_old_opt = _read_json('%s.%s.opt.%s.%d.json' %
(bm, stripped_line, old, loop),
badjson_files, nonexistant_files)
if js_new_ctr:
for row in bm_json.expand_json(js_new_ctr, js_new_opt):
name = row['cpp_name']
if name.endswith('_mean') or name.endswith('_stddev'):
continue
benchmarks[name].add_sample(track, row, True)
if js_old_ctr:
for row in bm_json.expand_json(js_old_ctr, js_old_opt):
name = row['cpp_name']
if name.endswith('_mean') or name.endswith('_stddev'):
continue
benchmarks[name].add_sample(track, row, False)
really_interesting = set()
for name, bm in benchmarks.items():
_maybe_print(name)
really_interesting.update(bm.process(track, new, old))
fields = [f for f in 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))
note = 'Corrupt JSON data (indicates timeout or crash) = %s' % str(badjson_files)
note += '\n\nMissing files (new benchmark) = %s' % str(nonexistant_files)
if rows:
return tabulate.tabulate(rows, headers=headers, floatfmt='+.2f'), note
else:
return None, note
if __name__ == '__main__':
args = _args()
diff, note = diff(args.benchmarks, args.loops, args.track, args.old,
args.new)
print note
print ""
print diff if diff else "No performance differences"
|
