blob: 070f770b8cf63049aa951eba72a4f5a07437ab72 [file] [log] [blame]
#!/usr/bin/env python
"""
parse mxnet output log into a markdown table
"""
import argparse
import sys
import re
parser = argparse.ArgumentParser(description='Parse mxnet output log')
parser.add_argument('logfile', nargs=1, type=str,
help = 'the log file for parsing')
parser.add_argument('--format', type=str, default='markdown',
choices = ['markdown', 'none'],
help = 'the format of the parsed outout')
args = parser.parse_args()
with open(args.logfile[0]) as f:
lines = f.readlines()
res = [re.compile('.*Epoch\[(\d+)\] Train.*=([.\d]+)'),
re.compile('.*Epoch\[(\d+)\] Valid.*=([.\d]+)'),
re.compile('.*Epoch\[(\d+)\] Time.*=([.\d]+)')]
data = {}
for l in lines:
i = 0
for r in res:
m = r.match(l)
if m is not None:
break
i += 1
if m is None:
continue
assert len(m.groups()) == 2
epoch = int(m.groups()[0])
val = float(m.groups()[1])
if epoch not in data:
data[epoch] = [0] * len(res) * 2
data[epoch][i*2] += val
data[epoch][i*2+1] += 1
if args.format == 'markdown':
print "| epoch | train-accuracy | valid-accuracy | time |"
print "| --- | --- | --- | --- |"
for k, v in data.items():
print "| %2d | %f | %f | %.1f |" % (k+1, v[0]/v[1], v[2]/v[3], v[4]/v[5])
elif args.format == 'none':
print "epoch\ttrain-accuracy\tvalid-accuracy\ttime"
for k, v in data.items():
print "%2d\t%f\t%f\t%.1f" % (k+1, v[0]/v[1], v[2]/v[3], v[4]/v[5])