feat(server): add frequency penalty #1541
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OlivierDehaene
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Feb 8, 2024
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| def __call__(self, input_ids: torch.Tensor, scores: torch.Tensor) -> torch.Tensor: | ||
| score = torch.gather(scores, 1, input_ids) | ||
| # if score < 0 then penalty has to be multiplied to reduce the previous token probability | ||
| score = -torch.where( | ||
| score < 0, score * self.penalty_tensor, score / self.penalty_tensor | ||
| ) | ||
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| return scores.scatter_add_(1, input_ids, score) |
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@Narsil I'm not 100% sure of this. This seems right when compared to https://platform.openai.com/docs/guides/text-generation/parameter-details
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