Spaces:
Running
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 | |