code: def test_exception(self, device, dtype):
      x = torch.ones(1, 1, 3, 4, device=device, dtype=dtype)
      with pytest.raises(TypeError):
          assert kornia.enhance.normalize_min_max(0.0)
  
      with pytest.raises(TypeError):
          assert kornia.enhance.normalize_min_max(x, "", "")
  
      with pytest.raises(TypeError):
          assert kornia.enhance.normalize_min_max(x, 2.0, "")
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import BaseTester
label_desc: Use image node_id 2 for calling the TestNormalizeMinMax obj's underlying member method code with example usage: obj.test_exception(device, dtype) without return types