code: def test_check_corner_case(self, device, dtype):
      trans = torch.tensor(
          [[[0.0, 0.0, 1.0], [0.0, 2.0, 0.0], [0.5, 0.0, 0.0]]],
          device=device,
          dtype=dtype,
      )
  
      trans_expected = trans.clone()
  
      trans_norm = epi.normalize_transformation(trans)
      assert_close(trans_norm, trans_expected, atol=1e-4, rtol=1e-4)
  
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 4 for calling the TestNormalizeTransformation obj's underlying member method code with example usage: obj.test_check_corner_case(device, dtype) without return types