how to pad a text after build the vocab in pytorch
I used torchtext vocab to convert the text to index, but which function should I use to make all the index list be the same length before I send them to the net?
For example I have 2 texts:
I am a good man
I would like a coffee please

After vocab:
[1, 3, 2, 5, 7]
[1, 9, 6, 2, 4, 8]

And what I want is:
[1, 3, 2, 5, 7, 0]
[1, 9, 6, 2, 4, 8]


It is easy to understand by looking at the following example.
Code:
import torch

v = [
        [0,2],
        [0,1,2],
        [3,3,3,3]
]

torch.nn.utils.rnn.pad_sequence([torch.tensor(p) for p in v], batch_first=True)

Result:
tensor([[0, 2, 0, 0],
        [0, 1, 2, 0],
        [3, 3, 3, 3]])

