Based on discussion here: https://github.com/pytorch/pytorch/pull/138731
Introducing ability for subclass implement type convertion to expected_type.
```
def __coerce_same_metadata_as_tangent__(
self, expected_metadata: Any, expected_type: Optional[Type] = None
):
```
Here if `expected_type=None` means `SubclassClass` is expected.
E.g. for `DTensor` we may find tangent `AsyncCollectiveTensor` where we expected `Tensor` - in this case
`expected_type=Tensor` will be called during runtime
Adding implementation to AsyncCollectiveTensor, that just triggers `wait()`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/139095
Approved by: https://github.com/bdhirsh
