code: def get_final_norm_state(self, tp_index: int) -> Dict:
      assert tp_index in self.tp_to_final_norm_map.keys()
      sd = torch.load(
          self.tp_to_final_norm_map[tp_index][0],
          map_location=torch.device("cpu"),
      )
      return sd
  
imports: import os
  from typing import Dict
  import torch
  from .reshape_3d_utils import model_3d_desc
  from .reshape_utils import basic_folder_validation, merge_state, partition_data, get_files, get_files_with_prefix
  from .constants import MODEL_FILE_PREFIX, LAYER_FILE_PREFIX
  from .reshape_meg_2d import reshape_meg_2d_parallel, meg_2d_parallel_map
  from .zero_checkpoint import ZeROCheckpoint
  from .constants import *
label_desc: Use image node_id 24 for calling the DeepSpeedCheckpoint obj's underlying member method code with example usage: obj.get_final_norm_state(tp_index) and returns: sd