[DTensor] Add sharding strategy to aten.view.dtype

[cassanof]

🚀 The feature, motivation and pitch

Would be great to have a sharding strategy for aten.view.dtype. Currently, when doing .view(dtype) on a DTensor, you get the following error:

Operator aten.view.dtype does not have a sharding strategy registered.

This has caused issues for FSDP2 + stochastic rounding for me. See: pytorch/ao#1505

Alternatives

No response

Additional context

No response

cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o @tianyu-l @XilunWu

[awgu]

We should be able to directly forward aten.view.dtype to the local tensor. cc: @tianyu-l @wanchaol @XilunWu @wz337 if someone wants to implement it