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
Summary:
**Patch Description**
Round out the rest of the optimizer types in torch.optim by creating the stubs for the rest of them.
**Testing**:
I ran mypy looking for just errors in that optim folder. There's no *new* mypy errors created.
```
$ mypy torch/optim | grep optim
$ git checkout master; mypy torch/optim | wc -l
968
$ git checkout typeoptims; mypy torch/optim | wc -l
968
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31130
Reviewed By: stephenroller
Differential Revision: D18947145
Pulled By: vincentqb
fbshipit-source-id: 5b8582223833b1d9123d829acc1ed8243df87561
