I’m playing with the Q&A code from Facebook Research and had it working perfectly.  It was running with torch 0.4.0 on a GTX 1080 with cuda 9.0 and Python 3.6.7.  I got a new machine with two RTX 2080 Ti cards.  I tried just updating everything to the latest, torch 1.1.0, cuda 10.2, latest nVidia driver.  The app would hang at the torch.ger call.  I tried doing just CPU (no cuda) and got the same result.  I goes into the function and never returns.
I downgraded torch to 1.0.1.post2 and it works fine with the CPU.  I still need to get all the GPU stuff sorted out to fix the CUDNN_STATUS_EXECUTION_FAILED error but for now I’d just like to figure out why the torch.ger function is not returning.
It’s being passed two tensors of shape [452] of type torch.float32. Comparing the tensors in 1.0.1.post2 vs 1.1.0 in a debugger they are almost identical.  There are a few values that are a tiny bit different but nothing that should break it.
One additional bit of information, the code uses the multiprocessing library.  I read that the pytorch wrapper around it is preferred.  I was unable to switch over because of some missing functions like Finalize.  But just looking at the ger function, it doesn’t seem like multiprocessing is the problem.
Any ideas what I should be looking at?