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Reinforced-Learning-Godot/rl/Lib/site-packages/torch/distributed/checkpoint/logger.py
2024-10-30 22:14:35 +01:00

104 lines
3.1 KiB
Python

# mypy: allow-untyped-defs
import functools
import time
from typing import Any, Callable, Dict, List, TypeVar
from typing_extensions import ParamSpec
from uuid import uuid4
import torch.distributed.c10d_logger as c10d_logger
from torch.distributed.checkpoint.logging_handlers import DCP_LOGGER_NAME
__all__: List[str] = []
global _dcp_logger
_dcp_logger = c10d_logger._get_or_create_logger(DCP_LOGGER_NAME)
_T = TypeVar("_T")
_P = ParamSpec("_P")
def _msg_dict_from_dcp_method_args(*args, **kwargs) -> Dict[str, Any]:
"""
Extracts log data from dcp method args
"""
msg_dict = {}
# checkpoint ID can be passed in through the serializer or through the checkpoint id directly
storage_writer = kwargs.get("storage_writer", None)
storage_reader = kwargs.get("storage_reader", None)
planner = kwargs.get("planner", None)
checkpoint_id = kwargs.get("checkpoint_id", None)
if not checkpoint_id and (serializer := storage_writer or storage_reader):
checkpoint_id = getattr(serializer, "checkpoint_id", None)
msg_dict["checkpoint_id"] = (
str(checkpoint_id) if checkpoint_id is not None else checkpoint_id
)
# Uniquely identify a _dcp_method_logger wrapped function call.
msg_dict["uuid"] = str(uuid4().int)
if storage_writer:
msg_dict["storage_writer"] = storage_writer.__class__.__name__
if storage_reader:
msg_dict["storage_reader"] = storage_reader.__class__.__name__
if planner:
msg_dict["planner"] = planner.__class__.__name__
return msg_dict
def _get_msg_dict(func_name, *args, **kwargs) -> Dict[str, Any]:
msg_dict = _msg_dict_from_dcp_method_args(*args, **kwargs)
msg_dict.update(c10d_logger._get_msg_dict(func_name, **msg_dict))
return msg_dict
def _dcp_method_logger(
log_exceptions: bool = False, **wrapper_kwargs: Any
) -> Callable[[Callable[_P, _T]], Callable[_P, _T]]: # pyre-ignore
"""This method decorator logs the start, end, and exception of wrapped events."""
def decorator(func: Callable[_P, _T]):
@functools.wraps(func)
def wrapper(*args: _P.args, **kwargs: _P.kwargs) -> _T:
msg_dict = _get_msg_dict(
func.__name__, *args, **{**wrapper_kwargs, **kwargs}
)
# log start event
msg_dict["event"] = "start"
t0 = time.time_ns()
msg_dict["time"] = t0
msg_dict["log_exceptions"] = log_exceptions
_dcp_logger.debug(msg_dict)
# exceptions
try:
result = func(*args, **kwargs)
except BaseException as error:
if log_exceptions:
msg_dict["event"] = "exception"
msg_dict["error"] = f"{error}"
msg_dict["time"] = time.time_ns()
_dcp_logger.error(msg_dict)
raise
# end event
msg_dict["event"] = "end"
t1 = time.time_ns()
msg_dict["time"] = time.time_ns()
msg_dict["times_spent"] = t1 - t0
_dcp_logger.debug(msg_dict)
return result
return wrapper
return decorator