Small inconsistency in Chapter 2, Part 3 example

[Javid-03]

I noticed a small inconsistency at the end of Chapter 2, Part 3.

The example shows:

encoded_sequences = [
[...], # length 16
[...], # length 8
]

model_inputs = torch.tensor(encoded_sequences)

Since the two sequences have different lengths, torch.tensor(encoded_sequences) will raise an error because tensors require all rows to have the same length.

A simple fix would be to make encoded_sequences rectangular by padding the shorter sequence before converting it to a tensor. This would make the example consistent with the explanation.

Thanks for the great course!

[shristibajpai]

/assign