code: def _merge_state_dicts(self, sd_list):
      merged_sd = {}
      for key in sd_list[0].keys():
          if not key in SEQUENTIAL_LAYERS:
              cat_dim = LAYER_CONCAT_DIM.get(key, 0)
              merged_sd[key] = torch.cat(
                  [sd[key] for sd in sd_list], dim=cat_dim
              )
          else:
              merged_sd[key] = sd_list[0][key]
  
      return merged_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 34 for calling the DeepSpeedCheckpoint obj's underlying member method code with example usage: obj._merge_state_dicts(sd_list) and returns: merged_sd