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1fd119948e
Changes: - #95200 1. Recognize `.py.in` and `.pyi.in` files as Python in VS Code for a better development experience. 2. Fix deep setting merge in `tools/vscode_settings.py`. - #95267 3. Use `Namedtuple` rather than `namedtuple + __annotations__` for `torch.nn.utils.rnn.PackedSequence_`: `namedtuple + __annotations__`: ```python PackedSequence_ = namedtuple('PackedSequence_', ['data', 'batch_sizes', 'sorted_indices', 'unsorted_indices']) # type annotation for PackedSequence_ to make it compatible with TorchScript PackedSequence_.__annotations__ = {'data': torch.Tensor, 'batch_sizes': torch.Tensor, 'sorted_indices': Optional[torch.Tensor], 'unsorted_indices': Optional[torch.Tensor]} ``` `Namedtuple`: Python 3.6+ ```python class PackedSequence_(NamedTuple): data: torch.Tensor batch_sizes: torch.Tensor sorted_indices: Optional[torch.Tensor] unsorted_indices: Optional[torch.Tensor] ``` - => this PR: #95268 4. Sort import statements and remove unnecessary imports in `.pyi`, `.pyi.in` files. 5. Format `.pyi`, `.pyi.in` files and remove unnecessary ellipsis `...` in type stubs. Pull Request resolved: https://github.com/pytorch/pytorch/pull/95268 Approved by: https://github.com/huydhn
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, Dict, List, Union
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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, 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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