code: def correct_unfold_norm_order(x):
      in_channel = x.shape[0]
      x = x.reshape(4, in_channel // 4)
      x = x[[0, 2, 1, 3], :].transpose(0, 1).reshape(in_channel)
      return x
  
file_path: transformers/src/transformers/models/upernet/convert_swin_upernet_to_pytorch.py
imports: import argparse
  import json
  import requests
  import torch
  from huggingface_hub import hf_hub_download
  from PIL import Image
  from transformers import SegformerImageProcessor, SwinConfig, UperNetConfig, UperNetForSemanticSegmentation
label_desc: Use image node_id 7 for calling a global function with example usage: correct_unfold_norm_order(x) and returns: x