code: def split_batch(batch: Any, start, stop, device: str):
      if device == "cuda":
          fn = lambda x: x[start:stop].cuda()
      else:
          fn = lambda x: x[start:stop]
      return pytree_map(batch, fn=fn, process_types=torch.Tensor)
  
imports: import argparse
  import os
  import warnings
  from typing import Any, Callable, Tuple, Type, Union
  import torch
  import torch.distributed.rpc
  import torch.multiprocessing
  from torch._C._distributed_rpc import _is_current_rpc_agent_set
  from torch.futures import Future
  from colossalai.initialize import launch
  from colossalai.legacy.pipeline.pipeline_process_group import ppg
label_desc: Use image node_id 5 for calling a global function with example usage: split_batch(batch, start, stop, device) and returns: pytree_map