Is there an effect of choosing to use PackedSequence over manual padding in terms of loss/accuracy? Suppose I padded all my sequences with 0’s to a fixed length. During training I retrieve the output from the last hidden unit in an LSTM/RNN for prediction (in a many-to-one fashion.) In many of the samples, a bunch of meaningless 0’s have been incorporated in the prediction. Should this hurt accuracy? It sounds so, but I can’t really prove it…