Hi. When printing my model using print(model), I only get the layer names that include parameters to learn, but i can’t see the connections/relations between these layers. For my problem, It seems that some layers are not getting trained because they are always outputting the same (even after training for 50+ epochs).  Therefore I need to check what these layers are exactly connected to in the computation graph.  Is there any way in PyTorch to visualize the connection between these layers? In other words, can I visualize the computation graph (I don’t need it as a fancy figure like tensorboard, a text would be OK).