* [MPS] Copy from CPU always add storageOffset (#86958)

Because why wouldn't it?
Fixes https://github.com/pytorch/pytorch/issues/86052

Pull Request resolved: https://github.com/pytorch/pytorch/pull/86958
Approved by: https://github.com/kulinseth

(cherry picked from commit 13cff2ee8ea1d7aea2ad201cbd77ebe2b9a29d25)

* [MPS] Revamp copy_to_mps_ implementation (#86956)

Tensor's view in linear storage is represented by the following parameters: `.shape`, `.stride()` and `.storage_offset()`.

Only tensors that are representable as 1d-views can be copied from host to device (and vice versa) using single  [`copy(from:sourceOffset:to:destinationOffset:size:)`](https://developer.apple.com/documentation/metal/mtlblitcommandencoder/1400767-copyfrombuffer?language=objc) call.

Modify `copy_to_mps_` function to do the following steps:
- Cast `src` tensor to dst data type if needed
- Expand `src` tensor to `dst` tensor shape
- Clone `src` tensor if it is not stride contiguous (i.e. can not be represented by `src.view(src.numel())`)
- Create an empty tensor if `dst` is not stride-contiguous or if its strides are different then potentially cloned `src` strides
- Do 1d copy for `src` to (potentiall temp) `dst`
- Finally do re-striding/copy on MPS if needed

Add test to cover cases where stide-contiguous permuted tensor is copied to MPS, non-stride-contiguous tensor is copied to MPS and if permuted CPU tensor is copied to differently permuted MPS tensor

Fixes https://github.com/pytorch/pytorch/issues/86954

Pull Request resolved: https://github.com/pytorch/pytorch/pull/86956
Approved by: https://github.com/kulinseth

(cherry picked from commit ae62cf7c02c009ab1123a3bfa08ca9a5e4255e4a)