code: def get_config():
      """Get the hyperparameter configuration for Fake data benchmark."""
      # Override default configuration to avoid duplication of field definition.
      config = default_lib.get_config()
      config.batch_size = 256 * jax.device_count()
      config.half_precision = True
      config.num_epochs = 5
  
      # Run for a single step:
      config.num_train_steps = 1
      config.steps_per_eval = 1
  
      return config
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_config() and returns: config