Multi device bugfix

[asglover]

This is a PR to harden multi device behavior.

• It adds testing to make sure all tensors are on the same device
• it adds usage of "device guards". This is how PyTorch signals to apis which do not explicitly take device, which device to use.
• It also adjust how BLAS handles work. BLAS handles must differ across devices. PyTorch keeps a pool of BLAS handles. This PR switches OEQ to using PyTorch's BLAS handles. Just a note that this current design does not set the BLAS precision mode which means it inherits from pytorch settings. I think that's a reasonable design because people can control precision with the idiomatic pytorch methods. If you think this calculation should never be in TF32, then I can add a manual setting command.
• It adds stream tests to that should fail before the changes from the PR come in on multi device. And should be fixed later.

[asglover]

This is a draft PR for now because I'm making these changes based on pytorch documentation and recommendations for multi device. I need to get access to multi device machines in order to test properly. The lack of AMD machine availability for testing is very annoying. I don't have any access through work (currently). And AMD didn't respond to my application for developer grants for this project.