Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
by author) In our case, we want to exclude padding indices from the attention weights being calculated. We can therefore compute a mask as follows, both for source and target data : padding_mask = (x == PAD_IDX) What about causal masks now ? Well if we want, at each time step, that the model can