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Fix confidence calculation #46

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Merged
merged 1 commit into from
Oct 2, 2024
Merged

Fix confidence calculation #46

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10 changes: 5 additions & 5 deletions optillm/cot_decoding.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,10 +27,10 @@ def calculate_confidence(logits: List[torch.Tensor], answer_ids: torch.Tensor) -
break
token_logits = logits[t]
probs = torch.softmax(token_logits, dim=-1)
if probs.size(0) > 1:
top_2_probs, _ = torch.topk(probs, min(2, probs.size(0)))
if top_2_probs.size(0) > 1:
confidence_sum += (top_2_probs[0] - top_2_probs[1]).item()
if probs.size(-1) > 1:
top_2_probs, _ = torch.topk(probs, min(2, probs.size(-1)))
if top_2_probs.size(-1) > 1:
confidence_sum += (top_2_probs[-1][0] - top_2_probs[-1][1]).item()
else:
confidence_sum += 1.0 # Max confidence if there's only one token
else:
Expand Down Expand Up @@ -142,4 +142,4 @@ def cot_decode(
return aggregate_paths_based_on_scores(paths)
else:
return max(paths, key=lambda x: x[1])