We iterate on batches with the following code:
for batch in iterator:
    pass

where the iterator has been instantiated with the following code
train_iterator, valid_iterator, test_iterator = data.BucketIterator.splits(
    (train_data, valid_data, test_data),
    batch_size = BATCH_SIZE,
    device = device)

What I want to do is something like the following:
batch = next(iterator)

But this obviously does not work. The reason that I want such a think is that I want to iterate in two datasets (multitask learning) and so I want to have two iterators (one for each dataset), and be able to alternate between them.
Can you help me on that?