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# Defined in torch/csrc/monitor/python_init.cpp
from typing import List, Dict, Callable, Union
from enum import Enum
import datetime
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, Union[int, float, bool, str]]
def __init__(
self,
name: str,
timestamp: datetime.datetime,
data: Dict[str, Union[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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