code: def test_load_resnet(self):
      compare_weights_both(
          "https://download.pytorch.org/models/resnet50-19c8e357.pth"
      )
  
imports: import pathlib, unittest
  import numpy
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.nn.state import safe_load, safe_save, get_state_dict, torch_load
  from tinygrad.helpers import Timing, CI, fetch, temp
label_desc: Use image node_id 5 for calling the TestTorchLoad obj's underlying member method code with example usage: obj.test_load_resnet() without return types