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Summary: as titled Differential Revision: D68960123 Pull Request resolved: https://github.com/pytorch/pytorch/pull/146175 Approved by: https://github.com/andriigrynenko, https://github.com/Skylion007
59 lines
1.4 KiB
Python
59 lines
1.4 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 types import TracebackType
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from typing import Callable, Optional, Type
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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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class _WaitCounterTracker:
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def __enter__(self) -> None: ...
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def __exit__(
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self,
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exec_type: Optional[Type[BaseException]] = None,
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exec_value: Optional[BaseException] = None,
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traceback: Optional[TracebackType] = None,
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) -> None: ...
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class _WaitCounter:
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def __init__(self, key: str) -> None: ...
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def guard(self) -> _WaitCounterTracker: ...
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