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6208c2800e
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/72009
This simplifies the Stats interface by merging IntervalStat and FixedCountStat into a single Stat w/ a specific window size duration and an optional max samples per window. This allows for the original intention of having comparably sized windows (for statistical purposes) while also having a consistent output bandwidth.
Test Plan:
```
buck test //caffe2/test:monitor //caffe2/test/cpp/monitor:monitor
```
Reviewed By: kiukchung
Differential Revision: D33822956
fbshipit-source-id: a74782492421be613a1a8b14341b6fb2e8eeb8b4
(cherry picked from commit 293b94e0b4)
42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
# Defined in torch/csrc/monitor/python_init.cpp
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from typing import List, Dict, Callable, Union
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from enum import Enum
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import datetime
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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, name: str, aggregations: List[Aggregation], 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, Union[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, Union[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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