code: def batch_type(self) -> Type[IdeficsCausalLMBatch]:
      return IdeficsCausalLMBatch
  
imports: import torch
  import time
  from dataclasses import dataclass
  from opentelemetry import trace
  from transformers import AutoProcessor, AutoTokenizer, PreTrainedTokenizerBase, ProcessorMixin
  from typing import Optional, Tuple, List, Type, Dict
  from text_generation_server.models import Model
  from text_generation_server.models.types import Batch, Tokens, Generation, GeneratedText
  from text_generation_server.pb import generate_pb2
  from text_generation_server.utils import NextTokenChooser, StoppingCriteria, Sampling
  import re
label_desc: Use image node_id 2 for calling the IdeficsCausalLM obj's underlying member method code with example usage: obj.batch_type() and returns: IdeficsCausalLMBatch