Hey! I’m new to Pytorch. Sorry in advance if this is a stupid question. My general question: is it possible to build a cyclic computational graph with or without autograd?  I do notice that computational graph is  DAG by its mathematical origin (i.e. decomposition of mathematical expression ) and the in-place autograd is really hard in current Pytorch, but if we merely tackle this question from building a graph with tensor and autograd-like mechanism, is it possible? If possible, then what kind of Neural network structure is this computational graph representing? Maybe this question does not make sense at all and i’m going to very wrong direction, can you help me sort out the reason of it? Thanks a lot~:smiley: