parse_log.py

#!/usr/bin/env python

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"""
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')
parser.add_argument('--metric-names', type=str, nargs="+", default = ['accuracy'],
                    help='names of metrics in log which should be parsed')
args = parser.parse_args()

with open(args.logfile[0]) as f:
    lines = f.readlines()

res = [re.compile('.*Epoch\[(\d+)\] Train-'+s+'.*=([.\d]+)') for s in args.metric_names]\
     + [re.compile('.*Epoch\[(\d+)\] Validation-'+s+'.*=([.\d]+)') for s in args.metric_names]\
     + [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 | " + " | ".join(['train-'+s for s in args.metric_names]) + " | " + " | ".join(['val-'+s for s in args.metric_names]) + " | time |")
    print("| --- "*(len(res)+1) + "|")
    for k, v in data.items():
        print("| %2d | " % (k+1)\
              + " | ".join(["%f" % (v[2*j]/v[2*j+1]) for j in range(2*len(args.metric_names))])\
              + " | %.1f |" % (v[-2]/v[-1]))
elif args.format == 'none':
    print("\t".join(['epoch'] + ['train-' + s for s in args.metric_names] + ['val-' + s for s in args.metric_names] + ['time']))
    for k, v in data.items():
        print("\t".join(["%2d" % (k+1)] + ["%f" % (v[2*j]/v[2*j+1]) for j in range(2*len(args.metric_names))] + ["%.1f" % (v[-2]/v[-1])]))