Solved by ptrblck in post #2 
              
              
                The warning is triggered by a division with could have been executed via torch.div or the div operator (a/b), so you could check the code for the usage of those. 
You could also try to convert warnings to errors via: 
import warnings
warnings.filterwarnings("error")

to hopefully get a better stackt…