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Do I need to pad?
See original GitHub issueExcuse me for the noob question, I have sequences of different lengths and I use:
model = AutoregressiveWrapper(model, ignore_index=PAD_ID, pad_value=PAD_ID)
Do I need to pad as in this example or not?
def __getitem__(self, index):
seq_tokens = self.examples[index]
input_ids = torch.tensor(seq_tokens, dtype=torch.long)
input_ids = F.pad(input_ids, (seq_len - len(input_ids), 0), value=self.pad_value)
return input_ids
Issue Analytics
- State:
- Created 3 years ago
- Comments:8 (4 by maintainers)
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Haha, that would be awesome, thanks a lot!
EDIT: R.
Great (: