code: def __setattr__(self, name, value):
      if name in set(
          [
              "inputgraph",
              "usergraph",
              "itemgraph",
              "contextgraph",
              "fusiongraph",
              "interactiongraph",
              "optimizergraph",
          ]
      ):
          if name in self.__dict__:
              self.__dict__[name].copy(value)
          else:
              self.__dict__[name] = value
      else:
          self.__dict__[name] = value
  
imports: import tensorflow
  import numpy
  import os
label_desc: Use image node_id 2 for calling the _RecommenderGraph obj's underlying member method code with example usage: obj.__setattr__(name, value) without return types