When we feed sentences into LSTM
# Variable length input sequence 'a' (without pad)
# 10 sentences, embedding size 5
a = [torch.randn(random.randint(1, 4), 5), 10]
a = torch.nn.utils.rnn.pack_sequence(a, enforce_sorted=True)
...
# here `out` is packed_sequence..
out, _ = model.lstm(a)


To unpack out,
Pytorch has torch.nn.utils.rnn.pad_packed_sequence which is an inverse operation to pack_padded_sequence. It gives unpacked and also padded sequences…
sure we can easily remove pads…
but sometimes people want nice and simple way… like an inverse of pack_sequence.
is there anything like this?
thanks