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fix _all_scores_for_token in ViterbiDecoder #3455

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merged 5 commits into from
Jun 30, 2024
Merged

fix _all_scores_for_token in ViterbiDecoder #3455

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4519f90
fix _all_scores_for_token in ViterbiDecoder
mauryaland May 13, 2024
cec82dc
Merge branch 'master' into fix_all_scores_for_token
helpmefindaname May 29, 2024
7161b1b
fix type
mauryaland May 30, 2024
c159707
Merge branch 'fix_all_scores_for_token' of https://github.com/mauryal…
mauryaland May 30, 2024
c6fc4b4
Merge branch 'master' into fix_all_scores_for_token
alanakbik Jun 30, 2024
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6 changes: 3 additions & 3 deletions flair/models/sequence_tagger_utils/viterbi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -221,16 +221,16 @@ def decode(
)

if probabilities_for_all_classes:
all_tags = self._all_scores_for_token(scores.cpu(), tag_seq, lengths, sentences)
all_tags = self._all_scores_for_token(scores.cpu(), decoded.cpu(), lengths, sentences)

return tags, all_tags

def _all_scores_for_token(
self, scores: torch.Tensor, tag_seq: torch.IntTensor, lengths: torch.IntTensor, sentences: List[Sentence]
self, scores: torch.Tensor, tag_sequences: torch.Tensor, lengths: torch.IntTensor, sentences: List[Sentence]
):
"""Returns all scores for each tag in tag dictionary."""
scores = scores.numpy()
for i_batch, batch in enumerate(scores):
for i_batch, (batch, tag_seq) in enumerate(zip(scores, tag_sequences)):
for i, (tag_id, tag_scores) in enumerate(zip(tag_seq, batch)):
tag_id_int = tag_id if isinstance(tag_id, int) else int(tag_id.item())

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