code: def load_and_broadcast_checkpoint(
      checkpoint_path: str, device: torch.device = CPU_DEVICE
  ) -> Optional[Dict]:
      """Loads a checkpoint on primary and broadcasts it to all replicas.
  
      This is a collective operation which needs to be run in sync on all replicas.
  
      See :func:`load_checkpoint` for the arguments.
      """
      if is_primary():
          checkpoint = load_checkpoint(checkpoint_path, device)
      else:
          checkpoint = None
      logging.info(
          f"Broadcasting checkpoint loaded from {checkpoint_path}"
      )
      return broadcast_object(checkpoint)
  
imports: import collections.abc
  import contextlib
  import json
  import logging
  import os
  import time
  from functools import partial
  from typing import Any, Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  import torch.nn
  from classy_vision.generic.distributed_util import broadcast_object, is_primary
  from fvcore.common.file_io import PathManager
label_desc: Use image node_id 16 for calling a global function with example usage: load_and_broadcast_checkpoint(checkpoint_path, device) and returns: broadcast_object