code: def train_iter_func(model, batch_data):
      loss = model.train(batch_data)["losses"][0]
      model.train(batch_data, operations_id="censor_embedding")
      return loss
  
file_path: openrec/tf1_examples/ucml_citeulike.py
imports: from openrec import ModelTrainer
  from openrec.tf1.utils import Dataset
  from openrec.tf1.recommenders import UCML
  from openrec.tf1.utils.evaluators import AUC, Recall
  from openrec.tf1.utils.samplers import RandomPairwiseSampler
  from openrec.tf1.utils.samplers import EvaluationSampler
  import dataloader
label_desc: Use image node_id 1 for calling a global function with example usage: train_iter_func(model, batch_data) and returns: loss