Hey @marvosyntactical, thank you so much for your reply!
I already know the maximum and minimum size of the output. What I wonder is that, RNNs are powerful, in that, they can be trained using a value of input sequence length and they’ll perform for shorter or longer input sequence lengths. I was trying to find out if such a thing can be said for the output of an RNN or any other architecture.
An example being, if the architecture learns to predict three numbers in a sequence while training, is it possible for the network to predict, maybe, five numbers during inference.