Supposing I have a
tf.data.Dataset of rank-1 tensors of varying lengths, say up to 100. I would like to create a new dataset in which each element is a 1-d stack of a varying number of consecutive elements from the first dataset, totalling less than length 200.
I know I can do this using
tf.data.Dataset.from_generator, but is there a better way?
Thanks in advance,