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Init hf space integration
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import logging
from typing import Mapping, Optional
from lightning_utilities.core.rank_zero import rank_prefixed_message, rank_zero_only
class RankedLogger(logging.LoggerAdapter):
"""A multi-GPU-friendly python command line logger."""
def __init__(
self,
name: str = __name__,
rank_zero_only: bool = True,
extra: Optional[Mapping[str, object]] = None,
) -> None:
"""Initializes a multi-GPU-friendly python command line logger that logs on all processes
with their rank prefixed in the log message.
:param name: The name of the logger. Default is ``__name__``.
:param rank_zero_only: Whether to force all logs to only occur on the rank zero process. Default is `False`.
:param extra: (Optional) A dict-like object which provides contextual information. See `logging.LoggerAdapter`.
"""
logger = logging.getLogger(name)
super().__init__(logger=logger, extra=extra)
self.rank_zero_only = rank_zero_only
def log(
self, level: int, msg: str, rank: Optional[int] = None, *args, **kwargs
) -> None:
"""Delegate a log call to the underlying logger, after prefixing its message with the rank
of the process it's being logged from. If `'rank'` is provided, then the log will only
occur on that rank/process.
:param level: The level to log at. Look at `logging.__init__.py` for more information.
:param msg: The message to log.
:param rank: The rank to log at.
:param args: Additional args to pass to the underlying logging function.
:param kwargs: Any additional keyword args to pass to the underlying logging function.
"""
if self.isEnabledFor(level):
msg, kwargs = self.process(msg, kwargs)
current_rank = getattr(rank_zero_only, "rank", None)
if current_rank is None:
raise RuntimeError(
"The `rank_zero_only.rank` needs to be set before use"
)
msg = rank_prefixed_message(msg, current_rank)
if self.rank_zero_only:
if current_rank == 0:
self.logger.log(level, msg, *args, **kwargs)
else:
if rank is None:
self.logger.log(level, msg, *args, **kwargs)
elif current_rank == rank:
self.logger.log(level, msg, *args, **kwargs)