code: def data(request):
      url = {
          "loftr_homo": f"https://github.com/kornia/data_test/blob/{sha}/loftr_outdoor_and_homography_data.pt?raw=true",
          "loftr_fund": f"https://github.com/kornia/data_test/blob/{sha}/loftr_indoor_and_fundamental_data.pt?raw=true",
          "adalam_idxs": f"https://github.com/kornia/data_test/blob/{sha2}/adalam_test.pt?raw=true",
          "lightglue_idxs": f"https://github.com/kornia/data_test/blob/{sha2}/adalam_test.pt?raw=true",
          "disk_outdoor": f"https://github.com/kornia/data_test/blob/{sha3}/knchurch_disk.pt?raw=true",
          "dexined": "https://cmp.felk.cvut.cz/~mishkdmy/models/DexiNed_BIPED_10.pth",
      }
      return torch.hub.load_state_dict_from_url(
          url[request.param], map_location=torch.device("cpu")
      )
  
imports: import sys
  from itertools import product
  from typing import Dict
  import numpy
  import pytest
  import torch
  import kornia
  from kornia.utils._compat import torch_version
label_desc: Use image node_id 13 for calling a global function with example usage: data(request) and returns: torch