code: def batch_type(self) -> Type[CausalLMBatch]:
      return MPTCausalLMBatch
  
imports: import torch
  import torch.distributed
  from pathlib import Path
  from typing import Optional, Type
  from opentelemetry import trace
  from transformers import AutoTokenizer, PretrainedConfig, PreTrainedTokenizerBase
  from huggingface_hub import hf_hub_download
  import json
  from text_generation_server.models import CausalLM
  from text_generation_server.models.causal_lm import CausalLMBatch
  from text_generation_server.pb import generate_pb2
  from text_generation_server.models.custom_modeling.mpt_modeling import MPTForCausalLM
  from text_generation_server.utils import initialize_torch_distributed, weight_files, Weights
label_desc: Use image node_id 2 for calling the MPTSharded obj's underlying member method code with example usage: obj.batch_type() and returns: MPTCausalLMBatch