Update docs for torch.mode (#165614)

Currently the docs for `torch.mode` include a note:

`This function is not defined for torch.cuda.Tensor yet.`

However with `torch==2.7.1+cu126` when I try to get the mode of a Tensor that is in cuda memory, I do not face any issues:

```
>>> a = torch.tensor([0, 2, 1, 1, 1, 3, 3])
>>> a.mode()
torch.return_types.mode(
values=tensor(1),
indices=tensor(4))
>>> a.cuda().mode()
torch.return_types.mode(
values=tensor(1, device='cuda:0'),
indices=tensor(4, device='cuda:0'))
```

Am I misunderstanding the note? If not, I suggest removing it.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165614
Approved by: https://github.com/mikaylagawarecki

torch/_torch_docs.py

@@ -7673,8 +7673,6 @@ If :attr:`keepdim` is ``True``, the output tensors are of the same size as
 Otherwise, :attr:`dim` is squeezed (see :func:`torch.squeeze`), resulting
 in the output tensors having 1 fewer dimension than :attr:`input`.
 
-.. note:: This function is not defined for ``torch.cuda.Tensor`` yet.
-
 Args:
     {input}
     {opt_dim}