When we are training our deep learning model, we should save some output string into a file.
On ubuntu, we can use script -f log.txt command to do it.
In this tutorial, we introduce another way to save python output message into a log file, here we use python logging library.
Python logging library provides five log level messages.
logging.debug('debug message') logging.info('info message') logging.warning('warning message') logging.error('error message') logging.critical('critical message')
The log level is:
CRITICAL > ERROR > WARNING > INFO > DEBUG > NOTSET
Defaultly, logging will save log message above warning level.
Then, to save python output message, we can use logging to do.
Preliminaries
#load logging import logging
Set logging
These settings contains: the format of logging message, the path of logging file et al.
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s', datefmt='%a, %d %b %Y %H:%M:%S', filename='/tmp/test.log', filemode='w')
Execute python code
a = 1 b = 2 c = a + b
Save logging message into a file
logging.debug('debug message') logging.info('info message') logging.warning('warning message') logging.error('error message') logging.critical('critical message') logging.info('sum = ' + str(c))
Then we open file: /temp/test.log, we will find content.