forked from embench/embench-iot
-
Notifications
You must be signed in to change notification settings - Fork 1
/
benchmark_speed.py
executable file
·388 lines (335 loc) · 12.1 KB
/
benchmark_speed.py
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
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
#!/usr/bin/env python3
# Script to benchmark execution speed.
# Copyright (C) 2017, 2019 Embecosm Limited
#
# Contributor: Graham Markall <[email protected]>
# Contributor: Jeremy Bennett <[email protected]>
#
# This file is part of Embench.
# SPDX-License-Identifier: GPL-3.0-or-later
"""
Benchmark speed.
This version is suitable when using a version of GDB which can launch a GDB
server to use as a target.
"""
import argparse
import importlib
import os
import subprocess
import sys
import threading
import queue
from json import loads
sys.path.append(
os.path.join(os.path.abspath(os.path.dirname(__file__)), 'pylib')
)
from embench_core import check_python_version
from embench_core import log
from embench_core import gp
from embench_core import setup_logging
from embench_core import log_args
from embench_core import find_benchmarks
from embench_core import log_benchmarks
from embench_core import embench_stats
from embench_core import output_format
def get_common_args():
"""Build a parser for all the arguments"""
parser = argparse.ArgumentParser(description='Compute the size benchmark')
parser.add_argument(
'--builddir',
type=str,
default='bd',
help='Directory holding all the binaries',
)
parser.add_argument(
'--logdir',
type=str,
default='logs',
help='Directory in which to store logs',
)
parser.add_argument(
'--baselinedir',
type=str,
default='baseline-data',
help='Directory which contains baseline data',
)
parser.add_argument(
'--absolute',
action='store_true',
help='Specify to show absolute results',
)
parser.add_argument(
'--relative',
dest='absolute',
action='store_false',
help='Specify to show relative results (the default)',
)
parser.add_argument(
'--json-output',
dest='output_format',
action='store_const',
const=output_format.JSON,
help='Specify to output in JSON format',
)
parser.add_argument(
'--text-output',
dest='output_format',
action='store_const',
const=output_format.TEXT,
help='Specify to output as plain text (the default)',
)
parser.add_argument(
'--baseline-output',
dest='output_format',
action='store_const',
const=output_format.BASELINE,
help='Specify to output in a format suitable for use as a baseline'
)
parser.add_argument(
'--json-comma',
action='store_true',
help='Specify to append a comma to the JSON output',
)
parser.add_argument(
'--no-json-comma',
dest='json_comma',
action='store_false',
help='Specify to not append a comma to the JSON output',
)
parser.add_argument(
'--target-module',
type=str,
required=True,
help='Python module with routines to run benchmarks',
)
parser.add_argument(
'--timeout',
type=int,
default=30,
help='Timeout used for running each benchmark program'
)
parser.add_argument(
'--sim-parallel',
action='store_true',
default=False,
help='Launch all benchmarks in parallel'
)
parser.add_argument(
'--sim-serial',
dest='sim_parallel',
action='store_false',
help='Launch all benchmarks in series (the default)'
)
return parser.parse_known_args()
def validate_args(args):
"""Check that supplied args are all valid. By definition logging is
working when we get here.
Update the gp dictionary with all the useful info"""
if os.path.isabs(args.builddir):
gp['bd'] = args.builddir
else:
gp['bd'] = os.path.join(gp['rootdir'], args.builddir)
if not os.path.isdir(gp['bd']):
log.error(f'ERROR: build directory {gp["bd"]} not found: exiting')
sys.exit(1)
if not os.access(gp['bd'], os.R_OK):
log.error(f'ERROR: Unable to read build directory {gp["bd"]}: exiting')
sys.exit(1)
if os.path.isabs(args.baselinedir):
gp['baseline_dir'] = args.baselinedir
else:
gp['baseline_dir'] = os.path.join(gp['rootdir'], args.baselinedir)
gp['absolute'] = args.absolute
if args.output_format:
gp['output_format'] = args.output_format
else:
gp['output_format'] = output_format.TEXT
gp['timeout'] = args.timeout
gp['sim_parallel'] = args.sim_parallel
try:
newmodule = importlib.import_module(args.target_module)
except ImportError as error:
log.error(
f'ERROR: Target module import failure: {error}: exiting'
)
sys.exit(1)
globals()['get_target_args'] = newmodule.get_target_args
globals()['build_benchmark_cmd'] = newmodule.build_benchmark_cmd
globals()['decode_results'] = newmodule.decode_results
def benchmark_speed(bench, target_args):
"""Time the benchmark. "target_args" is a namespace of arguments
specific to the target. Result is a time in milliseconds, or zero on
failure.
For the parallel option, this method must be thread-safe."""
succeeded = True
appdir = os.path.join(gp['bd_benchdir'], bench)
appexe = os.path.join(appdir, bench)
if os.path.isfile(appexe):
arglist = build_benchmark_cmd(bench, target_args)
try:
res = subprocess.run(
arglist,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=appdir,
timeout=gp['timeout'],
)
if res.returncode != 0:
log.warning(f'Warning: Run of {bench} failed.')
succeeded = False
except subprocess.TimeoutExpired:
log.warning(f'Warning: Run of {bench} timed out.')
succeeded = False
else:
log.warning(f'Warning: {bench} executable not found.')
succeeded = False
# Process results
if succeeded:
exec_time = decode_results(
res.stdout.decode('utf-8'), res.stderr.decode('utf-8')
)
succeeded = exec_time > 0
if succeeded:
return exec_time
else:
for arg in arglist:
if arg == arglist[0]:
comm = arg
elif arg == '-ex':
comm += ' ' + arg
else:
comm += " '" + arg + "'"
log.debug('Args to subprocess:')
log.debug(f'{comm}')
if 'res' in locals():
log.debug(res.stdout.decode('utf-8'))
log.debug(res.stderr.decode('utf-8'))
return 0.0
def run_threads(bench, target_args, data_collect_q):
item = benchmark_speed(bench, target_args)
data_collect_q.put_nowait([bench, item])
def collect_data(benchmarks, remnant):
"""Collect and log all the raw and optionally relative data associated with
the list of benchmarks supplied in the "benchmarks" argument. "remant"
is left over args from the command line, which may be useful to the
benchmark running procs.
Return the raw data and relative data as a list. The raw data may be
empty if there is a failure. The relative data will be empty if only
absolute results have been requested."""
# Baseline data is held external to the script. Import it here.
speed_baseline = os.path.join(gp['baseline_dir'], 'speed.json')
with open(speed_baseline) as fileh:
baseline = loads(fileh.read())
# Parse target specific args
target_args = get_target_args(remnant)
# Collect data
successful = True
raw_data = {}
rel_data = {}
# Run the benchmarks in parallel
if gp['sim_parallel']:
collect_data_q = queue.Queue()
benchmark_threads = list()
for bench in benchmarks:
curr_thread = threading.Thread(target=run_threads, args=(bench, target_args, collect_data_q))
benchmark_threads.append(curr_thread)
curr_thread.start()
# Join threads
for thd in benchmark_threads:
thd.join()
# All thread have returned
# Go through Q and make sure all benchmarks returned
while not collect_data_q.empty():
[bench_id, raw_score] = collect_data_q.get()
raw_data[bench_id] = raw_score
# Run the benchmarks in serial
else:
for bench in benchmarks:
raw_data[bench] = benchmark_speed(bench, target_args)
for bench in benchmarks:
rel_data[bench] = 0.0
if raw_data[bench] == 0.0:
del raw_data[bench]
del rel_data[bench]
successful = False
else:
if (not gp['absolute'] and
gp['output_format'] != output_format.BASELINE):
rel_data[bench] = baseline[bench] / raw_data[bench]
# Output it
if gp['output_format'] == output_format.JSON:
log.info(' "speed results" :')
log.info(' { "detailed speed results" :')
for bench in benchmarks:
output = ''
if raw_data[bench] != 0.0:
if gp['absolute']:
output = f'{round(raw_data[bench])}'
else:
output = f'{rel_data[bench]:.2f}'
if bench == benchmarks[0]:
log.info(f' {{ ' + f'"{bench}" : {output},')
elif bench == benchmarks[-1]:
log.info(f' "{bench}" : {output}')
else:
log.info(f' "{bench}" : {output},')
log.info(' },')
elif gp['output_format'] == output_format.TEXT:
log.info('Benchmark Speed')
log.info('--------- -----')
for bench in benchmarks:
output = ''
if (bench in raw_data and raw_data[bench] != 0.0):
if gp['absolute']:
output = f'{round(raw_data[bench]):8,}'
else:
output = f' {rel_data[bench]:6.2f}'
# Want relative results (the default). Only use non-zero values.
log.info(f'{bench:15} {output:8}')
elif gp['output_format'] == output_format.BASELINE:
log.info('{')
for bench in benchmarks:
if bench == benchmarks[-1]:
log.info(f' "{bench}" : {raw_data[bench]}')
else:
log.info(f' "{bench}" : {raw_data[bench]},')
log.info('}')
if successful:
return raw_data, rel_data
# Otherwise failure return
return [], []
def main():
"""Main program driving measurement of benchmark size"""
# Establish the root directory of the repository, since we know this file is
# in that directory.
gp['rootdir'] = os.path.abspath(os.path.dirname(__file__))
# Parse arguments common to all speed testers, and get list of those
# remaining.
args, remnant = get_common_args()
# Establish logging
setup_logging(args.logdir, 'speed')
log_args(args)
# Check args are OK (have to have logging and build directory set up first)
validate_args(args)
# Find the benchmarks
benchmarks = find_benchmarks()
log_benchmarks(benchmarks)
# Collect the speed data for the benchmarks. Pass any remaining args.
raw_data, rel_data = collect_data(benchmarks, remnant)
# We can't compute geometric SD on the fly, so we need to collect all the
# data and then process it in two passes. We could do the first processing
# as we collect the data, but it is clearer to do the three things
# separately. Given the size of datasets with which we are concerned the
# compute overhead is not significant.
if raw_data:
if gp['output_format'] != output_format.BASELINE:
opt_comma = ',' if args.json_comma else ''
embench_stats(benchmarks, raw_data, rel_data, 'speed', opt_comma)
log.info('All benchmarks run successfully')
else:
log.info('ERROR: Failed to compute speed benchmarks')
sys.exit(1)
# Make sure we have new enough Python and only run if this is the main package
check_python_version(3, 6)
if __name__ == '__main__':
sys.exit(main())