Update nn.Module._apply to not gate on should_use_set_data when swap_tensors is set (#120659)
This updates the nesting of if statements in `nn.Module._apply` such that if
`torch.__future__.set_swap_module_params_on_conversion(True)`, we always try to swap regardless of whether
- `torch._has_compatible_shallow_copy_type(param, fn(param)`
- `torch.__future__.set_overwrite_module_params_on_conversion` is set
This means that `meta_module.to_empty('device')` can now use the swap_tensors path cc @awgu
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120659
Approved by: https://github.com/albanD
