Making large AI models cheaper, faster and more accessible
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import logging
from typing import List, Optional
from .logger import DistributedLogger
__all__ = ['get_dist_logger', 'DistributedLogger', 'disable_existing_loggers']
def get_dist_logger(name: str = 'colossalai') -> DistributedLogger:
"""Get logger instance based on name. The DistributedLogger will create singleton instances,
which means that only one logger instance is created per name.
Args:
name (str): name of the logger, name must be unique
Returns:
:class:`colossalai.logging.DistributedLogger`: A distributed logger singleton instance.
"""
return DistributedLogger.get_instance(name=name)
def disable_existing_loggers(include: Optional[List[str]] = None, exclude: List[str] = ['colossalai']) -> None:
"""Set the level of existing loggers to `WARNING`. By default, it will "disable" all existing loggers except the logger named "colossalai".
Args:
include (Optional[List[str]], optional): Loggers whose name in this list will be disabled.
If set to `None`, `exclude` argument will be used. Defaults to None.
exclude (List[str], optional): Loggers whose name not in this list will be disabled.
This argument will be used only when `include` is None. Defaults to ['colossalai'].
"""
if include is None:
filter_func = lambda name: name not in exclude
else:
filter_func = lambda name: name in include
for log_name in logging.Logger.manager.loggerDict.keys():
if filter_func(log_name):
logging.getLogger(log_name).setLevel(logging.WARNING)