One interesting thing that I noticed here is that for Pytorch, training for the given epoch took quite a bit of time (as compared to tensorflow), while forecasting was super quick (as compared to tensorflow which was slow). Can you enlighten me why is the case? I am assuming some lazyloading going around somewhere…?