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# Defined in torch/csrc/monitor/python_init.cpp
import datetime
from enum import Enum
from typing import Callable
class Aggregation(Enum):
VALUE = ...
MEAN = ...
COUNT = ...
SUM = ...
MAX = ...
MIN = ...
class Stat:
name: str
count: int
def __init__(
self,
name: str,
aggregations: list[Aggregation],
window_size: int,
max_samples: int = -1,
) -> None: ...
def add(self, v: float) -> None: ...
def get(self) -> dict[Aggregation, float]: ...
class Event:
name: str
timestamp: datetime.datetime
data: dict[str, int | float | bool | str]
def __init__(
self,
name: str,
timestamp: datetime.datetime,
data: dict[str, int | float | bool | str],
) -> None: ...
def log_event(e: Event) -> None: ...
class EventHandlerHandle: ...
def register_event_handler(handler: Callable[[Event], None]) -> EventHandlerHandle: ...
def unregister_event_handler(handle: EventHandlerHandle) -> None: ...
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