code: def build(self):
      with self._tf_graph.as_default():
          self.connector.build()
  
          self.inputgraph.ready()
          self.usergraph.ready()
          self.itemgraph.ready()
          self.contextgraph.ready()
          self.fusiongraph.ready()
          self.interactiongraph.ready()
          self.optimizergraph.ready()
  
          with tf.variable_scope("inputgraph", reuse=tf.AUTO_REUSE):
              self.inputgraph.build()
          with tf.variable_scope("usergraph", reuse=tf.AUTO_REUSE):
              self.usergraph.build()
          with tf.variable_scope("itemgraph", reuse=tf.AUTO_REUSE):
              self.itemgraph.build()
          with tf.variable_scope("contextgraph", reuse=tf.AUTO_REUSE):
              self.contextgraph.build()
          with tf.variable_scope("fusiongraph", reuse=tf.AUTO_REUSE):
              self.fusiongraph.build()
          with tf.variable_scope(
              "interactiongraph", reuse=tf.AUTO_REUSE
          ):
              self.interactiongraph.build()
          with tf.variable_scope("optimizergraph", reuse=tf.AUTO_REUSE):
              self.optimizergraph.build()
  
imports: import tensorflow
  import numpy
  import os
label_desc: Use image node_id 9 for calling the _RecommenderGraph obj's underlying member method code with example usage: obj.build() without return types