code: def basic_ddp_model(
      self, rank, model, process_group, hook_state, hook
  ):
      r"""
      A function that creates a ddp_model and hook_state objects.
      The ddp model is initialized with a single device id and
      the process group. The ddp_model also registers the communication
      hook.
      Args:
          rank (int): worker rank
          model (nn.Module): neural network model
          process_group (ProcessGroup): distributed process group
          hook_state (class): class that will be used to keep track of state
              during training.
          hook (function): ddp communication hook
      """
      ddp_model = DDP(
          model, device_ids=[rank], process_group=process_group
      )
      hook_state = hook_state(self, process_group)
      ddp_model.register_comm_hook(hook_state, hook)
      return ddp_model, hook_state
  
label_desc: Use image node_id 1 for calling a global function with example usage: basic_ddp_model(rank, model, process_group, hook_state, hook) and returns: ddp_model,  hook_state