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Fix backprop
Training seems to actually run now!
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@ -210,7 +210,7 @@ class CoreferenceResolver(TrainablePipe):
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preds, backprop = self.model.begin_update(inputs)
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score_matrix, mention_idx = preds
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loss, d_scores = self.get_loss(examples, score_matrix, mention_idx)
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backprop(d_scores)
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backprop((d_scores, mention_idx))
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if sgd is not None:
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self.finish_update(sgd)
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