code: def __init__(
      self, max_batch_size: int = 1, pad_token_id: int = 0
  ) -> None:
      super().__init__()
      self.max_batch_size = max_batch_size
      self.pad_token_id = pad_token_id
  
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 1 to create a new BatchManagerForGeneration object from inherited base classes: BatchManager with example: obj = BatchManagerForGeneration(max_batch_size, pad_token_id)