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1 #!/usr/bin/python2
2 #
3 # Copyright 2010 Google Inc. All Rights Reserved.
4 """Script to compare ChromeOS benchmarks
5 
6 Inputs:
7     <perflab-output directory 1 - baseline>
8     <perflab-output directory 2 - results>
9     --csv - comma separated results
10 
11 This script doesn't really know much about benchmarks. It simply looks for
12 similarly names directories and a results.txt file, and compares
13 the results and presents it, along with a geometric mean.
14 
15 """
16 
17 from __future__ import print_function
18 
19 __author__ = 'bjanakiraman@google.com (Bhaskar Janakiraman)'
20 
21 import glob
22 import math
23 import argparse
24 import re
25 import sys
26 
27 from cros_utils import command_executer
28 
29 BENCHDIRS = ('%s/default/default/*/gcc-4.4.3-glibc-2.11.1-grte-k8-opt/ref/*'
30              '/results.txt')
31 
32 # Common initializations
33 cmd_executer = command_executer.GetCommandExecuter()
34 
35 
36 def Usage(parser, message):
37   print('ERROR: %s' % message)
38   parser.print_help()
39   sys.exit(0)
40 
41 
42 def GetStats(in_file):
43   """Return stats from file"""
44   f = open(in_file, 'r')
45   pairs = []
46   for l in f:
47     line = l.strip()
48     # Look for match lines like the following:
49     #       METRIC isolated TotalTime_ms (down, scalar) trial_run_0: ['1524.4']
50     #       METRIC isolated isolated_walltime (down, scalar) trial_run_0: \
51     #         ['167.407445192']
52     m = re.match(r"METRIC\s+isolated\s+(\S+).*\['(\d+(?:\.\d+)?)'\]", line)
53     if not m:
54       continue
55     metric = m.group(1)
56     if re.match(r'isolated_walltime', metric):
57       continue
58 
59     value = float(m.group(2))
60     pairs.append((metric, value))
61 
62   return dict(pairs)
63 
64 
65 def PrintDash(n):
66   tmpstr = ''
67   for _ in range(n):
68     tmpstr += '-'
69   print(tmpstr)
70 
71 
72 def PrintHeaderCSV(hdr):
73   tmpstr = ''
74   for i in range(len(hdr)):
75     if tmpstr != '':
76       tmpstr += ','
77     tmpstr += hdr[i]
78   print(tmpstr)
79 
80 
81 def PrintHeader(hdr):
82   tot_len = len(hdr)
83   PrintDash(tot_len * 15)
84 
85   tmpstr = ''
86   for i in range(len(hdr)):
87     tmpstr += '%15.15s' % hdr[i]
88 
89   print(tmpstr)
90   PrintDash(tot_len * 15)
91 
92 
93 def Main(argv):
94   """Compare Benchmarks."""
95   # Common initializations
96 
97   parser = argparse.ArgumentParser()
98   parser.add_argument('-c',
99                       '--csv',
100                       dest='csv_output',
101                       action='store_true',
102                       default=False,
103                       help='Output in csv form.')
104   parser.add_argument('args', nargs='+', help='positional arguments: '
105                       '<baseline-output-dir> <results-output-dir>')
106 
107   options = parser.parse_args(argv[1:])
108 
109   # validate args
110   if len(options.args) != 2:
111     Usage(parser, 'Needs <baseline output dir> <results output dir>')
112 
113   base_dir = options.args[0]
114   res_dir = options.args[1]
115 
116   # find res benchmarks that have results
117   resbenches_glob = BENCHDIRS % res_dir
118   resbenches = glob.glob(resbenches_glob)
119 
120   basebenches_glob = BENCHDIRS % base_dir
121   basebenches = glob.glob(basebenches_glob)
122 
123   to_compare = []
124   for resbench in resbenches:
125     tmp = resbench.replace(res_dir, base_dir, 1)
126     if tmp in basebenches:
127       to_compare.append((resbench, tmp))
128 
129   for (resfile, basefile) in to_compare:
130     stats = GetStats(resfile)
131     basestats = GetStats(basefile)
132     # Print a header
133     # benchname (remove results.txt), basetime, restime, %speed-up
134     hdr = []
135     benchname = re.split('/', resfile)[-2:-1][0]
136     benchname = benchname.replace('chromeos__', '', 1)
137     hdr.append(benchname)
138     hdr.append('basetime')
139     hdr.append('restime')
140     hdr.append('%speed up')
141     if options.csv_output:
142       PrintHeaderCSV(hdr)
143     else:
144       PrintHeader(hdr)
145 
146     # For geomean computations
147     prod = 1.0
148     count = 0
149     for key in stats.keys():
150       if key in basestats.keys():
151         # ignore very small values.
152         if stats[key] < 0.01:
153           continue
154         count = count + 1
155         prod = prod * (stats[key] / basestats[key])
156         speedup = (basestats[key] - stats[key]) / basestats[key]
157         speedup = speedup * 100.0
158         if options.csv_output:
159           print('%s,%f,%f,%f' % (key, basestats[key], stats[key], speedup))
160         else:
161           print('%15.15s%15.2f%15.2f%14.2f%%' % (key, basestats[key],
162                                                  stats[key], speedup))
163 
164     prod = math.exp(1.0 / count * math.log(prod))
165     prod = (1.0 - prod) * 100
166     if options.csv_output:
167       print('%s,,,%f' % ('Geomean', prod))
168     else:
169       print('%15.15s%15.15s%15.15s%14.2f%%' % ('Geomean', '', '', prod))
170       print('')
171   return 0
172 
173 
174 if __name__ == '__main__':
175   retval = Main(sys.argv)
176   sys.exit(retval)
177