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------ - [Generic TypeAlias (PEP 585)](https://peps.python.org/pep-0585): e.g. `typing.List[T] -> list[T]`, `typing.Dict[KT, VT] -> dict[KT, VT]`, `typing.Type[T] -> type[T]`. - [Union Type (PEP 604)](https://peps.python.org/pep-0604): e.g. `Union[X, Y] -> X | Y`, `Optional[X] -> X | None`, `Optional[Union[X, Y]] -> X | Y | None`. Note that in `.pyi` stub files, we do not need `from __future__ import annotations`. So this PR does not violate issue #117449: - #117449 Pull Request resolved: https://github.com/pytorch/pytorch/pull/129419 Approved by: https://github.com/ezyang ghstack dependencies: #129375, #129376
45 lines
1.0 KiB
Python
45 lines
1.0 KiB
Python
# Defined in torch/csrc/monitor/python_init.cpp
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import datetime
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from enum import Enum
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from typing import Callable
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class Aggregation(Enum):
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VALUE = ...
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MEAN = ...
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COUNT = ...
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SUM = ...
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MAX = ...
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MIN = ...
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class Stat:
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name: str
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count: int
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def __init__(
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self,
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name: str,
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aggregations: list[Aggregation],
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window_size: int,
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max_samples: int = -1,
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) -> None: ...
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def add(self, v: float) -> None: ...
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def get(self) -> dict[Aggregation, float]: ...
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class Event:
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name: str
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timestamp: datetime.datetime
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data: dict[str, int | float | bool | str]
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def __init__(
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self,
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name: str,
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timestamp: datetime.datetime,
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data: dict[str, int | float | bool | str],
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) -> None: ...
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def log_event(e: Event) -> None: ...
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class EventHandlerHandle: ...
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def register_event_handler(handler: Callable[[Event], None]) -> EventHandlerHandle: ...
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def unregister_event_handler(handle: EventHandlerHandle) -> None: ...
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