code: def test_gradcheck(self, device, dtype):
      x = torch.ones(
          1,
          1,
          1,
          1,
          device=device,
          dtype=torch.float64,
          requires_grad=True,
      )
      assert gradcheck(
          kornia.enhance.normalize_min_max,
          (x,),
          raise_exception=True,
          fast_mode=True,
      )
  
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 7 for calling the TestNormalizeMinMax obj's underlying member method code with example usage: obj.test_gradcheck(device, dtype) without return types