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Fix a bug in Nbest.compute_am_scores and Nbest.compute_lm_scores. (#111)

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Fangjun Kuang 2021-11-09 13:44:51 +08:00 committed by GitHub
parent 91cfecebf2
commit 04029871b6
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1 changed files with 9 additions and 3 deletions
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icefall/decode.py
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@ -364,7 +364,13 @@ class Nbest(object):
Return a ragged tensor with 2 axes [utt][path_scores].
Its dtype is torch.float64.
"""
saved_scores = self.fsa.scores
# Caution: We need a clone here. `self.fsa.scores` is a
# reference to a tensor representing the last field of an arc
# in the FSA (Remeber that an arc has four fields.) If we later assign
# `self.fsa.scores`, it will also change the scores on every arc, which
# means saved_scores will also be changed if we don't use `clone()`
# here.
saved_scores = self.fsa.scores.clone()
# The `scores` of every arc consists of `am_scores` and `lm_scores`
self.fsa.scores = self.fsa.scores - self.fsa.lm_scores
@ -391,10 +397,10 @@ class Nbest(object):
Return a ragged tensor with 2 axes [utt][path_scores].
Its dtype is torch.float64.
"""
saved_scores = self.fsa.scores
saved_scores = self.fsa.scores.clone()
# The `scores` of every arc consists of `am_scores` and `lm_scores`
self.fsa.scores = self.fsa.lm_scores
self.fsa.scores = self.fsa.lm_scores.clone()
lm_scores = self.fsa.get_tot_scores(
use_double_scores=True, log_semiring=False