blob: 42e4414d77fddcfc980f549da6885429bfb7309c [file] [log] [blame] [edit]
# Copyright (c) 2010 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import glob, logging, re
from autotest_lib.client.bin import test
from autotest_lib.client.bin import utils
from optparse import OptionParser
class platform_LibCBench(test.test):
version = 1
iteration_output = []
GOVERNOR_FILE = '/sys/devices/system/cpu/cpu*/cpufreq/scaling_governor'
def run_once(self, args=[]):
parser = OptionParser()
parser.add_option('-i',
'--iterations',
dest='iterations',
default=3,
help='Number of iterations to run.')
parser.add_option('--path',
dest='path',
default='/usr/local/libc-bench/libc-bench',
help='Path to the libc-bench binary.')
options, args = parser.parse_args(args)
last_governor_modes = []
governor_paths = glob.glob(self.GOVERNOR_FILE)
for path in governor_paths:
mode = utils.system_output('cat %s' % path)
last_governor_modes.append(mode)
utils.system('sudo bash -c "echo performance > %s"' % path)
for i in xrange(int(options.iterations)):
self.iteration_output.append(utils.system_output(options.path))
for i in xrange(len(governor_paths)):
utils.system('sudo bash -c "echo %s > %s"' %
(last_governor_modes[i], governor_paths[i]))
def postprocess_iteration(self):
results = {}
current_benchmark = None
# Process the output of the benchmarks.
# Output for each benchmark looks like the following:
# b_<benchmark_1>
# time: ..., x: ..., y: ..., z: ...
for output in self.iteration_output:
for line in output.split('\n'):
if line.startswith('b_'):
current_benchmark = line
elif line.strip().startswith('time'):
time = float(line.strip().split(',')[0].split(' ')[1])
assert(current_benchmark is not None)
results.setdefault(current_benchmark, []).append(time)
perf_results = {}
for benchmark in results:
average = sum(results[benchmark]) / len(results[benchmark])
minimum = min(results[benchmark])
maximum = max(results[benchmark])
difference = maximum - minimum
percent_difference = difference / average * 100
logging.info('%s:\tmin=%s\tmax=%s\tdiff=%s\tavg=%s\tpercent=%s' %
(benchmark, minimum, maximum, difference, average,
percent_difference))
key_string = re.sub('[^\w]', '_', benchmark)
perf_results[key_string] = average
self.write_perf_keyval(perf_results)