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on
Zero
Running
on
Zero
import logging | |
# from pytorch_lightning.utilities import rank_zero_only | |
def init_base_pylogger(): | |
"""Initializes base python command line logger.""" | |
logging.basicConfig( | |
level=logging.WARNING, | |
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", | |
handlers=[logging.StreamHandler()], | |
) | |
def get_pylogger(name=__name__) -> logging.Logger: | |
"""Initializes multi-GPU-friendly python command line logger.""" | |
if not logging.root.handlers: | |
init_base_pylogger() | |
logger = logging.getLogger(name) | |
logger.setLevel(logging.DEBUG) | |
# this ensures all logging levels get marked with the rank zero decorator | |
# otherwise logs would get multiplied for each GPU process in multi-GPU setup | |
# logging_levels = ("debug", "info", "warning", "error", "exception", "fatal", "critical") | |
# for level in logging_levels: | |
# setattr(logger, level, rank_zero_only(getattr(logger, level))) | |
return logger | |