code: def test_gradcheck(self, device):
      trans = torch.rand(
          2,
          3,
          3,
          device=device,
          requires_grad=True,
          dtype=torch.float64,
      )
      assert gradcheck(
          epi.normalize_transformation,
          (trans,),
          raise_exception=True,
          fast_mode=True,
      )
  
imports: from typing import Dict
  import pytest
  import test_common
  import torch
  from torch.autograd import gradcheck
  import kornia.geometry.epipolar
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 5 for calling the TestNormalizeTransformation obj's underlying member method code with example usage: obj.test_gradcheck(device) without return types