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one more losses fix
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@ -227,10 +227,13 @@ class Tagger(TrainablePipe):
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DOCS: https://nightly.spacy.io/api/tagger#rehearse
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"""
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if losses is None:
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losses = {}
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losses.setdefault(self.name, 0.0)
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validate_examples(examples, "Tagger.rehearse")
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docs = [eg.predicted for eg in examples]
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if self._rehearsal_model is None:
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return
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return losses
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if not any(len(doc) for doc in docs):
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# Handle cases where there are no tokens in any docs.
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return losses
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@ -240,9 +243,7 @@ class Tagger(TrainablePipe):
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gradient = guesses - target
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backprop(gradient)
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self.finish_update(sgd)
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if losses is not None:
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losses.setdefault(self.name, 0.0)
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losses[self.name] += (gradient**2).sum()
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losses[self.name] += (gradient**2).sum()
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return losses
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def get_loss(self, examples, scores):
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