ai-content-maker/.venv/Lib/site-packages/torch/distributed/c10d_logger.py

99 lines
3.1 KiB
Python

#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import functools
import logging
import time
from typing import Any, Callable, Dict, List, Tuple, TypeVar
from typing_extensions import ParamSpec
import torch
import torch.distributed as dist
from torch.distributed.logging_handlers import _log_handlers
__all__: List[str] = []
def _get_or_create_logger() -> logging.Logger:
logging_handler, log_handler_name = _get_logging_handler()
logger = logging.getLogger(f"c10d-{log_handler_name}")
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter(
"%(asctime)s %(filename)s:%(lineno)s %(levelname)s p:%(processName)s t:%(threadName)s: %(message)s"
)
logging_handler.setFormatter(formatter)
logger.propagate = False
logger.addHandler(logging_handler)
return logger
def _get_logging_handler(destination: str = "default") -> Tuple[logging.Handler, str]:
log_handler = _log_handlers[destination]
log_handler_name = type(log_handler).__name__
return (log_handler, log_handler_name)
global _c10d_logger
_c10d_logger = _get_or_create_logger()
def _get_msg_dict(func_name, *args, **kwargs) -> Dict[str, Any]:
if dist.is_initialized():
msg_dict = {
"func_name": f"{func_name}",
"args": f"{args}, {kwargs}",
"pg_name": f"{dist._get_process_group_name(kwargs.get('pg'))}", # type: ignore[arg-type]
"backend": f"{dist.get_backend(kwargs.get('group'))}",
"world_size": f"{dist.get_world_size()}",
"group_size": f"{dist.get_world_size(kwargs.get('group'))}",
"global_rank": f"{dist.get_rank()}",
"local_rank": f"{dist.get_rank(kwargs.get('group'))}",
}
if msg_dict["backend"] == "nccl":
nccl_version = torch.cuda.nccl.version()
msg_dict["nccl_version"] = ".".join(str(v) for v in nccl_version)
else:
msg_dict = {
"func_name": f"{func_name}",
"args": f"{args}, {kwargs}",
}
return msg_dict
_T = TypeVar('_T')
_P = ParamSpec('_P')
def _exception_logger(func: Callable[_P, _T]) -> Callable[_P, _T]:
@functools.wraps(func)
def wrapper(*args: _P.args, **kwargs: _P.kwargs) -> _T:
try:
return func(*args, **kwargs)
except Exception as error:
msg_dict = _get_msg_dict(func.__name__, *args, **kwargs)
msg_dict["error"] = f"{error}"
_c10d_logger.debug(msg_dict)
raise
return wrapper
def _time_logger(func: Callable[_P, _T]) -> Callable[_P, _T]:
@functools.wraps(func)
def wrapper(*args: _P.args, **kwargs: _P.kwargs) -> _T:
t1 = time.time_ns()
func_return = func(*args, **kwargs)
time_spent = time.time_ns() - t1
msg_dict = _get_msg_dict(func.__name__, *args, **kwargs)
msg_dict["time_spent"] = f"{time_spent}ns"
_c10d_logger.debug(msg_dict)
return func_return
return wrapper