How do you handle variable length input without something like an RNN? Even transformers use RNN structures right.
I suppose convolutions could technically handle variable length inputs (just slide the window of weights over different length inputs) but I don't think tensorflow or pytorch supports this
I suppose convolutions could technically handle variable length inputs (just slide the window of weights over different length inputs) but I don't think tensorflow or pytorch supports this