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Xiaoming Liu 2024-09-12 14:16:10 +08:00 committed by GitHub
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@ -19,7 +19,7 @@ def multinomial_num_samples_1(probs: torch.Tensor) -> torch.Tensor:
return torch.multinomial(probs, num_samples=1)
def sample_top_p(logits_A: torch.Tensor, top_p: float) -> torch.Tensor:
def sample_top_p(logits: torch.Tensor, top_p: float) -> torch.Tensor:
sorted_logits, sorted_indices = torch.sort(logits, descending=False)
cumulative_probs = sorted_logits.softmax(dim=-1).cumsum(dim=-1)
# Example: