The usage for pack sequence here 8 seems simple enough. Sort the tensors by their length then feed it to the function. However, I needed to ask if there are any additional steps that I must be aware of when using pack_sequence to train my RNN on a dataset whose sequences have varying length. I looked through the forums but can’t find a definitive answer.
        >>> from torch.nn.utils.rnn import pack_sequence
        >>> a = torch.tensor([1,2,3])
        >>> b = torch.tensor([4,5])
        >>> c = torch.tensor([6])
        >>> pack_sequence([a, b, c])
        PackedSequence(data=tensor([ 1,  4,  6,  2,  5,  3]), batch_sizes=tensor([ 3,  2,  1]))