          lower.nP = parser_maxout_pieces
  
          with Model.use_device('cpu'):
              upper = chain(
                  clone(LayerNorm(Maxout(hidden_width, hidden_width)), depth-1),
                  zero_init(Affine(nr_class, hidden_width, drop_factor=0.0))
              )
  
          cfg = {
              'nr_class': nr_class,
 
</s> remove         #model = linear_model >> logistic

 </s> add  </s> remove             for i in range(nr_task):
                self._parseC(states[i],
                    feat_weights, bias, hW, hb,
                    nr_class, nr_hidden, nr_feat, nr_piece)
 </s> add             self._parseC(&states[0], nr_task, feat_weights, bias, hW, hb,
                nr_class, nr_hidden, nr_feat, nr_piece) </s> remove         vectors = <float*>calloc(nr_hidden * nr_piece, sizeof(float))
        scores = <float*>calloc(nr_class, sizeof(float))
 </s> add         vectors = <float*>calloc(nr_hidden * nr_task, sizeof(float))
        unmaxed = <float*>calloc(nr_hidden * nr_piece, sizeof(float))
        scores = <float*>calloc(nr_class*nr_task, sizeof(float)) </s> remove         transitions = []
 </s> add         labels = {} </s> remove         if 'actions' in self.cfg:
            for action, labels in self.cfg.get('actions', {}).items():
                for label in labels:
                    self.moves.add_action(action, label)
 </s> add 
                clone(Maxout(hidden_width, hidden_width), depth-1),
          lower.nP = parser_maxout_pieces
  
          with Model.use_device('cpu'):
              upper = chain(
                clone(Maxout(hidden_width, hidden_width), depth-1),
                  zero_init(Affine(nr_class, hidden_width, drop_factor=0.0))
              )
  
          cfg = {
              'nr_class': nr_class,
keep keep keep keep replace keep keep keep keep keep
 Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop"

This reverts commit c9ba3d3c2dc7067cf8bd55f878cec45a8c6d73d4, reversing
changes made to 92c26a35d425d4e8ca1b805ea776ea10f5ded3df. 
spacy/syntax/nn_parser.pyx