code: def register_loss(self, loss, identifier="default"):
      self._loss_identifier_set.add(identifier)
      tf.add_to_collection(
          "openrec.tf1.recommender.losses." + identifier, loss
      )
  
imports: import tensorflow
  import numpy
  import os
label_desc: Use image node_id 6 for calling the _RecommenderGraph obj's underlying member method code with example usage: obj.register_loss(loss, identifier) without return types