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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
12 lines
330 B
Python
12 lines
330 B
Python
from typing import AnyStr, List
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from torch import Tensor
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class UndefinedGrad:
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def __init__(self) -> None: ...
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def __call__(self, *inputs: Tensor) -> List[Tensor]: ...
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class DelayedError:
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def __init__(self, msg: AnyStr, num_inputs: int) -> None: ...
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def __call__(self, inputs: List[Tensor]) -> List[Tensor]: ...
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