code: def init_model(
      config: ml_collections.ConfigDict,
      train_state: train_utils.TrainState,
  ) -> Tuple[train_utils.TrainState, int]:
      """Initializes the UnLoc model."""
  
      checkpoint_dir = None
      checkpoint_path = config.init_from.get("checkpoint_path")
      if checkpoint_path is not None:
          checkpoint_dir = checkpoint_path
      train_state, step = train_utils.restore_checkpoint(
          checkpoint_dir,
          train_state,
          step=config.get("checkpoint_step"),
      )
      return train_state, step
  
file_path: scenic/scenic/projects/unloc/evaluator.py
imports: import functools
  from typing import Any, Dict, Tuple
  from clu import metric_writers
  from flax import jax_utils
  import jax
  import jax.numpy
  import ml_collections
  from scenic import app
  from scenic.projects.unloc import eval_utils
  from scenic.projects.unloc import model
  from scenic.projects.unloc import train_utils
  from scenic.train_lib import train_utils
label_desc: Use image node_id 1 for calling a global function with example usage: init_model(config, train_state) and returns: train_state,  step