code: def test_smoke(self, device, dtype):
      x = torch.ones(1, 1, 1, 1, device=device, dtype=dtype)
      assert kornia.enhance.normalize_min_max(x) is not None
      assert kornia.enhance.normalize_min_max(x) is not None
  
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 1 for calling the TestNormalizeMinMax obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types