Dynamo tensor aliasing guards, dedup graphargs (#104921)
The story here is relatively simple - when we go to wrap a tensor, we (1) ensure that it is a real, not fake tensor (2) check if we have seen it before. (3) If we have seen it, we create a positive alias guard and return the associated variable. If not, we proceed.
By short circuiting here, we avoid lifting it to a graph input, and guarantee that the only names passed to tensors are unique. This allows us to guard on the unique relationships (pyboject addresses, aka IDs, cannot match) to give us guards for negative aliases.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/104921
Approved by: https://github.com/jansel, https://github.com/ezyang
