code: def restore_state_from_checkpoint(
      self, checkpoint_dir: str, checkpoint_prefix: str
  ):
      # Since the internal state is maintained as part of the TF graph, no need to do anything special for
      # save/restore, when going from single-node-multi-thread run back to a single-node-multi-worker run.
      # Restoring from either a * single-worker, or a multi-node-multi-worker * run, to a single-node-multi-thread run
      # is not supported.
      pass
  
file_path: coach/rl_coach/architectures/tensorflow_components/shared_variables.py
imports: import os
  import pickle
  import numpy
  import tensorflow
  from rl_coach.utilities.shared_running_stats import SharedRunningStats
label_desc: Use image node_id 13 for calling the TFSharedRunningStats obj's underlying member method code with example usage: obj.restore_state_from_checkpoint(checkpoint_dir, checkpoint_prefix) without return types