Solved by ptrblck in post #2 
              
              
                Based on the doc, let’s try to compare the arguments. 
decay seems to be 1-momentum in PyTorch. 
center and scale seem to be the affine transformations, (affine in PyTorch). 
is_training can be achieved by calling .train() on the Module. 
I’m not sure, what updates_collection, resuse and scope mean …