code: def replace_universal_segmentation_module(
      self, dst_state_dict: StateDict, src_state_dict: StateDict
  ):
      dst_prefix: str = ""
      src_prefix: str = "sem_seg_head.predictor"
  
      renamed_keys = [
          (
              f"{src_prefix}.class_embed.weight",
              f"{dst_prefix}class_predictor.weight",
          ),
          (
              f"{src_prefix}.class_embed.bias",
              f"{dst_prefix}class_predictor.bias",
          ),
      ]
  
      logger.info(f"Replacing keys {pformat(renamed_keys)}")
      self.pop_all(renamed_keys, dst_state_dict, src_state_dict)
  
imports: import json
  import sys
  from argparse import ArgumentParser
  from dataclasses import dataclass
  from pathlib import Path
  from pprint import pformat
  from typing import Any, Dict, Iterator, List, Set, Tuple
  import requests
  import torch
  import torchvision.transforms
  from detectron2.checkpoint import DetectionCheckpointer
  from detectron2.config import get_cfg
  from detectron2.projects.deeplab import add_deeplab_config
  from huggingface_hub import hf_hub_download
  from PIL import Image
  from torch import Tensor, nn
  from transformers import Mask2FormerConfig, Mask2FormerForUniversalSegmentation, Mask2FormerImageProcessor, Mask2FormerModel, SwinConfig
  from transformers.models.mask2former.modeling_mask2former import Mask2FormerForUniversalSegmentationOutput, Mask2FormerModelOutput
  from transformers.utils import logging
label_desc: Use image node_id 10 for calling the OriginalMask2FormerCheckpointToOursConverter obj's underlying member method code with example usage: obj.replace_universal_segmentation_module(dst_state_dict, src_state_dict) without return types