Fix torch.randperm for CUDA (#59352)
Summary:
Context https://github.com/pytorch/pytorch/issues/58545
The logic is that we are going to keep it consistent for both
torch.randperm and torch.randint
1. Generators can have either a fully-specified or non-fully specified device
2. As long as the device type match with the result, we don't error out
Pull Request resolved: https://github.com/pytorch/pytorch/pull/59352
Test Plan:
```
python test/test_tensor_creation_ops.py -k TestRandomTensorCreation
```
Reviewed By: ngimel
Differential Revision: D28855920
Pulled By: zhouzhuojie
fbshipit-source-id: f8141a2c4b2f177e1aa7baec6999b65916cba02c
