So in my dataset, each sample has the different first dimension, for example x1.shape = (2, 100) and y1.shape = (2, 1), and sample 2 could be x2.shape = (5, 100) and y2.shape = (5,1)
How could I customize my collate_fn so that I could return a loader list of batch_size. For example, if my batch size = 2, then how could I get:
for inputs , labels in train_loader:
# inouts is  a list of length 2, with first element ( 2,100), second element (5, 100)
# labels is a list of length 2, with first element ( 2,1), second element (5, 1)