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Minor fixes.
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@ -365,7 +365,7 @@ class Nbest(object):
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Return a ragged tensor with 2 axes [utt][path_scores].
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Return a ragged tensor with 2 axes [utt][path_scores].
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Its dtype is torch.float64.
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Its dtype is torch.float64.
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"""
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"""
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saved_scores = self.fsa.scores
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saved_scores = self.fsa.scores.clone()
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# The `scores` of every arc consists of `am_scores` and `lm_scores`
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# The `scores` of every arc consists of `am_scores` and `lm_scores`
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self.fsa.scores = self.fsa.scores - self.fsa.lm_scores
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self.fsa.scores = self.fsa.scores - self.fsa.lm_scores
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@ -392,7 +392,7 @@ class Nbest(object):
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Return a ragged tensor with 2 axes [utt][path_scores].
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Return a ragged tensor with 2 axes [utt][path_scores].
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Its dtype is torch.float64.
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Its dtype is torch.float64.
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"""
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"""
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saved_scores = self.fsa.scores
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saved_scores = self.fsa.scores.clone()
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# The `scores` of every arc consists of `am_scores` and `lm_scores`
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# The `scores` of every arc consists of `am_scores` and `lm_scores`
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self.fsa.scores = self.fsa.lm_scores
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self.fsa.scores = self.fsa.lm_scores
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