Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

column-wise fashion, from top to bottom, and from left to right, to assign the data
points to the corresponding indices in the data tensor.
Finally, it uses these indices to assemble the data tensor:
Figure 8.28 - Packed data points
Thus, to retrieve the values of the original sequences, we need to slice the data
tensor accordingly. For example, we can retrieve the first sequence from the data
tensor by reading the values from its corresponding indices: 0, 3, 6, and 8.
(packed.data[[0, 3, 6, 8]] == seq_tensors[0]).all()
Output
tensor(True)
Once the sequence is properly packed, we can feed it directly to an RNN:
output_packed, hidden_packed = rnn(packed)
output_packed, hidden_packed
Variable-Length Sequences | 659