code: def get_hyper_parameters():
      """Returns the hyper-parameters used for training."""
      hparams = HParams()
      if FLAGS.train_epochs:
          hparams.train_epochs = FLAGS.train_epochs
      if FLAGS.eval_steps:
          hparams.eval_steps = FLAGS.eval_steps
      return hparams
  
file_path: neural-structured-learning/neural_structured_learning/examples/graph_keras_mlp_cora.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import app
  from absl import flags
  from absl import logging
  import attr
  import neural_structured_learning
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_hyper_parameters() and returns: hparams