[MPS] Fix tensor with non-zero storage offset graph gathering (#91071)
Previously, the "can slice" flag in Placeholder constructor in `OperationUtils.mm` is conditioned on whether the numbers of dimensions of base shape and view shape are the same. This doesn't consider the situation that a view tensor could be the base tensor's sliced and then unsqueezed version, resulting in different num of dims.
For example, if we want to stack `y_mps` and `x_mps` on the last dim:
```
t_mps = torch.tensor([1, 2, 3, 4], device="mps")
x_mps = t_mps[2:] # [3, 4]
y_mps = t_mps[:2] # [1, 2]
res_mps = torch.stack((y_mps, x_mps), dim=-1)
```
the kernel will unsqueeze both of them on the last dim and then concatenate them, which is equivalent to:
```
res_mps = torch.cat((y_mps.unsqueeze(-1), x_mps.unsqueeze(-1)), dim=-1)
```
`x_mps.unsqueeze(-1)` is an unsqueezed and contiguous tensor with a storage offset, this kind of tensors should be sliceable without cloning its storage.
Fixes #87856
Fixes #91065
Pull Request resolved: https://github.com/pytorch/pytorch/pull/91071
Approved by: https://github.com/kulinseth
