[composite compliance] _make_wrapper_subclass respect strides (#78520)
`at::for_blob` used to short-circuit if first dim had size `0` or if number of dims was `1`.
`at::for_blob` is used in `_make_wrapper_subclass` implementation and resulted in `SubclassTensor` having different stride for the above case.
```python
import torch
from torch.testing._internal.composite_compliance import generate_cct
elem = torch.ones(0,).as_strided((0,), (2,), 0)
CCT = generate_cct()
ret = CCT(elem)
print(f"{ret.shape = }, {ret.stride() = }, {ret.elem.shape = }, {ret.elem.stride() = }")
```
Output Before
```
ret.shape = torch.Size([0]), ret.stride() = (1,), ret.elem.shape = torch.Size([0]), ret.elem.stride() = (2,)
```
Output After
```
ret.shape = torch.Size([0]), ret.stride() = (2,), ret.elem.shape = torch.Size([0]), ret.elem.stride() = (2,)
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78520
Approved by: https://github.com/zou3519
