I have an iterable dataset object with all of my data files. How can I split it into train and validation set. I have seen a few solutions for custom datasets but iterable does not support len() operator. torch.utils.random_sample() and torch.utils.SubsetRandomSample() don’t work.
def __init__(self):
         bla
         bla
 
 def __iter__(self):
     bla
     .
     yield batch