mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
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
41 lines
909 B
Python
41 lines
909 B
Python
import builtins
|
|
from typing import Optional, Tuple
|
|
|
|
import torch
|
|
from torch import Tensor
|
|
|
|
class Parameter(Tensor):
|
|
def __init__(
|
|
self,
|
|
data: Tensor = ...,
|
|
requires_grad: builtins.bool = ...,
|
|
): ...
|
|
|
|
def is_lazy(param: Tensor): ...
|
|
|
|
class UninitializedParameter(Tensor):
|
|
def __init__(
|
|
self,
|
|
data: Tensor = ...,
|
|
requires_grad: builtins.bool = ...,
|
|
): ...
|
|
def materialize(
|
|
self,
|
|
shape: Tuple[int, ...],
|
|
device: Optional[torch.device] = None,
|
|
dtype: Optional[torch.dtype] = None,
|
|
): ...
|
|
|
|
class UninitializedBuffer(Tensor):
|
|
def __init__(
|
|
self,
|
|
data: Tensor = ...,
|
|
requires_grad: builtins.bool = ...,
|
|
): ...
|
|
def materialize(
|
|
self,
|
|
shape: Tuple[int, ...],
|
|
device: Optional[torch.device] = None,
|
|
dtype: Optional[torch.dtype] = None,
|
|
): ...
|