code: def __init__(
      self, fanouts, metapath, add_self_loops=True, max_id=-1, **kwargs
  ):
      super(LayerwiseEachDataFlow, self).__init__(
          num_hops=len(metapath), add_self_loops=add_self_loops
      )
      self.fanouts = fanouts
      self.metapath = metapath
      self.max_id = max_id
  
file_path: euler/tf_euler/python/dataflow/layerwise_dataflow.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.dataflow.neighbor_dataflow import UniqueDataFlow
  from tf_euler.python.dataflow.neighbor_dataflow import NeighborDataFlow
label_desc: Use image node_id 1 to create a new LayerwiseEachDataFlow object from inherited base classes: NeighborDataFlow with example: obj = LayerwiseEachDataFlow(fanouts, metapath, add__loops, max_id)