Logging
People often do not use Python logging due to the setup cost. Hydra solves this by configuring the Python logging for you.
By default, Hydra logs at the INFO level to both the console and a log file in the automatic working directory.
An example of logging with Hydra:
import logging
from omegaconf import DictConfig
import hydra
# A logger for this file
log = logging.getLogger(__name__)
@hydra.main()
def my_app(_cfg: DictConfig) -> None:
log.info("Info level message")
log.debug("Debug level message")
if __name__ == "__main__":
my_app()
$ python my_app.py
[2019-06-27 00:52:46,653][__main__][INFO] - Info level message
You can enable DEBUG level logging from the command line by overriding hydra.verbose.
hydra.verbose can be a Boolean, a String or a List:
Examples:
hydra.verbose=true: Sets the log level of all loggers toDEBUGhydra.verbose=NAME: Sets the log level of the loggerNAMEtoDEBUG. Equivalent toimport logging; logging.getLogger(NAME).setLevel(logging.DEBUG).hydra.verbose=[NAME1,NAME2]: Sets the log level of the loggersNAME1andNAME2toDEBUG
Example output:
$ python my_app.py hydra.verbose=[__main__,hydra]
[2019-09-29 13:06:00,880] - Installed Hydra Plugins
[2019-09-29 13:06:00,880] - ***********************
...
[2019-09-29 13:06:00,896][__main__][INFO] - Info level message
[2019-09-29 13:06:00,896][__main__][DEBUG] - Debug level message
You can disable the logging output by setting hydra/job_logging to disabled
$ python my_app.py hydra/job_logging=disabled
<NO OUTPUT>
You can also set hydra/job_logging=none and hydra/hydra_logging=none if you do not want Hydra to configure the logging.
Logging can be customized.