make meta tensor data access error message for expressive in assert_close (#68802)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68802
Without this patch, the error message of comparing meta tensors looks like this after #68722 was merged:
```python
>>> t = torch.empty((), device="meta")
>>> assert_close(t, t)
NotImplementedError: Could not run 'aten::abs.out' with arguments from the 'Meta' backend. [...]
[...]
The above exception was the direct cause of the following exception:
[...]
RuntimeError: Comparing
TensorLikePair(
id=(),
actual=tensor(..., device='meta', size=()),
expected=tensor(..., device='meta', size=()),
rtol=1.3e-06,
atol=1e-05,
equal_nan=False,
check_device=True,
check_dtype=True,
check_layout=True,
check_stride=False,
check_is_coalesced=True,
)
resulted in the unexpected exception above. If you are a user and see this message during normal operation please file an issue at https://github.com/pytorch/pytorch/issues. If you are a developer and working on the comparison functions, please except the previous error and raise an expressive `ErrorMeta` instead.
```
Thus, we follow our own advice and turn it into an expected exception until #68592 is resolved:
```python
>>> t = torch.empty((), device="meta")
>>> assert_close(t, t)
ValueError: Comparing meta tensors is currently not supported
```
Test Plan: Imported from OSS
Reviewed By: ngimel
Differential Revision: D33542999
Pulled By: mruberry
fbshipit-source-id: 0fe1ddee15b5decdbd4c5dd84f03804ca7eac95b
