code: def split_batch(
      self, task_entry: TaskEntry, trunc_lens: List[int] = []
  ) -> List[Tuple[Hashable, Any]]:
      retval = []
      for uid, output, trunc_len in zip(
          task_entry.uids, task_entry.batch, trunc_lens
      ):
          retval.append((uid, output[:trunc_len]))
      return retval
  
file_path: colossalai/examples/tutorial/opt/inference/batch.py
imports: from typing import Any, Deque, Hashable, List, Tuple
  import torch
  from energonai import BatchManager, SubmitEntry, TaskEntry
label_desc: Use image node_id 5 for calling the BatchManagerForGeneration obj's underlying member method code with example usage: obj.split_batch(task_entry, trunc_lens) and returns: retval