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#!/usr/bin/python2
#
# Copyright 2010 Google Inc. All Rights Reserved.
"""Script to compare ChromeOS benchmarks
Inputs:
<perflab-output directory 1 - baseline>
<perflab-output directory 2 - results>
--csv - comma separated results
This script doesn't really know much about benchmarks. It simply looks for
similarly names directories and a results.txt file, and compares
the results and presents it, along with a geometric mean.
"""
from __future__ import print_function
__author__ = 'bjanakiraman@google.com (Bhaskar Janakiraman)'
import glob
import math
import argparse
import re
import sys
from cros_utils import command_executer
BENCHDIRS = ('%s/default/default/*/gcc-4.4.3-glibc-2.11.1-grte-k8-opt/ref/*'
'/results.txt')
# Common initializations
cmd_executer = command_executer.GetCommandExecuter()
def Usage(parser, message):
print('ERROR: %s' % message)
parser.print_help()
sys.exit(0)
def GetStats(in_file):
"""Return stats from file"""
f = open(in_file, 'r')
pairs = []
for l in f:
line = l.strip()
# Look for match lines like the following:
# METRIC isolated TotalTime_ms (down, scalar) trial_run_0: ['1524.4']
# METRIC isolated isolated_walltime (down, scalar) trial_run_0: \
# ['167.407445192']
m = re.match(r"METRIC\s+isolated\s+(\S+).*\['(\d+(?:\.\d+)?)'\]", line)
if not m:
continue
metric = m.group(1)
if re.match(r'isolated_walltime', metric):
continue
value = float(m.group(2))
pairs.append((metric, value))
return dict(pairs)
def PrintDash(n):
tmpstr = ''
for _ in range(n):
tmpstr += '-'
print(tmpstr)
def PrintHeaderCSV(hdr):
tmpstr = ''
for i in range(len(hdr)):
if tmpstr != '':
tmpstr += ','
tmpstr += hdr[i]
print(tmpstr)
def PrintHeader(hdr):
tot_len = len(hdr)
PrintDash(tot_len * 15)
tmpstr = ''
for i in range(len(hdr)):
tmpstr += '%15.15s' % hdr[i]
print(tmpstr)
PrintDash(tot_len * 15)
def Main(argv):
"""Compare Benchmarks."""
# Common initializations
parser = argparse.ArgumentParser()
parser.add_argument('-c',
'--csv',
dest='csv_output',
action='store_true',
default=False,
help='Output in csv form.')
parser.add_argument('args', nargs='+', help='positional arguments: '
'<baseline-output-dir> <results-output-dir>')
options = parser.parse_args(argv[1:])
# validate args
if len(options.args) != 2:
Usage(parser, 'Needs <baseline output dir> <results output dir>')
base_dir = options.args[0]
res_dir = options.args[1]
# find res benchmarks that have results
resbenches_glob = BENCHDIRS % res_dir
resbenches = glob.glob(resbenches_glob)
basebenches_glob = BENCHDIRS % base_dir
basebenches = glob.glob(basebenches_glob)
to_compare = []
for resbench in resbenches:
tmp = resbench.replace(res_dir, base_dir, 1)
if tmp in basebenches:
to_compare.append((resbench, tmp))
for (resfile, basefile) in to_compare:
stats = GetStats(resfile)
basestats = GetStats(basefile)
# Print a header
# benchname (remove results.txt), basetime, restime, %speed-up
hdr = []
benchname = re.split('/', resfile)[-2:-1][0]
benchname = benchname.replace('chromeos__', '', 1)
hdr.append(benchname)
hdr.append('basetime')
hdr.append('restime')
hdr.append('%speed up')
if options.csv_output:
PrintHeaderCSV(hdr)
else:
PrintHeader(hdr)
# For geomean computations
prod = 1.0
count = 0
for key in stats.keys():
if key in basestats.keys():
# ignore very small values.
if stats[key] < 0.01:
continue
count = count + 1
prod = prod * (stats[key] / basestats[key])
speedup = (basestats[key] - stats[key]) / basestats[key]
speedup = speedup * 100.0
if options.csv_output:
print('%s,%f,%f,%f' % (key, basestats[key], stats[key], speedup))
else:
print('%15.15s%15.2f%15.2f%14.2f%%' % (key, basestats[key],
stats[key], speedup))
prod = math.exp(1.0 / count * math.log(prod))
prod = (1.0 - prod) * 100
if options.csv_output:
print('%s,,,%f' % ('Geomean', prod))
else:
print('%15.15s%15.15s%15.15s%14.2f%%' % ('Geomean', '', '', prod))
print('')
return 0
if __name__ == '__main__':
retval = Main(sys.argv)
sys.exit(retval)
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