code: def __init__(
      self, params: ModelParams, name="CalamariGraph", **kwargs
  ):
      super(EnsembleGraph, self).__init__(params, name=name, **kwargs)
  
      self.fold_graphs = [
          CalamariGraph(params, f"voter_{i}")
          for i in range(params.ensemble)
      ]
      if self._params.masking_mode > 0:
          logger.warning(
              "Changed masking during training. This should only be used for evaluation!"
          )
  
file_path: calamari/calamari_ocr/ocr/model/ensemblegraph.py
imports: import logging
  from tfaip.model.graphbase import GenericGraphBase
  import tensorflow
  import tensorflow.keras.backend
  from tensorflow.python.ops import ctc_ops
  from calamari_ocr.ocr.model.graph import CalamariGraph
  from calamari_ocr.ocr.model.params import ModelParams
label_desc: Use image node_id 1 to create a new EnsembleGraph object from inherited base classes: GenericGraphBase with example: obj = EnsembleGraph(params, name)