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Speed up RepetitionPenaltyLogitsProcessor (pytorch) #9600

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Merged
patrickvonplaten merged 1 commit into from
Jan 20, 2021
Merged

Speed up RepetitionPenaltyLogitsProcessor (pytorch) #9600

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5 changes: 2 additions & 3 deletions src/transformers/generation_logits_process.py
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Original file line number Diff line number Diff line change
Expand Up @@ -155,13 +155,12 @@ def __init__(self, penalty: float):
self.penalty = penalty

def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor) -> torch.FloatTensor:
ranges = torch.arange(scores.shape[0])
score = scores[ranges[:, None], input_ids]
score = torch.gather(scores, 1, input_ids)

# if score < 0 then repetition penalty has to be multiplied to reduce the previous token probability
score = torch.where(score < 0, score * self.penalty, score / self.penalty)

scores[ranges[:, None], input_ids] = score
scores.scatter_(1, input_ids, score)
return scores


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