code: def get_rank():
      """
      Get the rank of the current process.
      """
      if not dist.is_available():
          return 0
      if not dist.is_initialized():
          return 0
      return dist.get_rank()
  
imports: import functools
  import logging
  import pickle
  import torch
  import torch.distributed
  from pytorchvideo.layers.distributed import cat_all_gather, get_local_process_group, get_local_rank, get_local_size, get_world_size, init_distributed_training
label_desc: Use image node_id 7 for calling a global function with example usage: get_rank() and returns: dist, int, int