code: def test_jit(self, device, dtype):
      x = torch.ones(1, 1, 1, 1, device=device, dtype=dtype)
      op = kornia.enhance.normalize_min_max
      op_jit = torch.jit.script(op)
      self.assert_close(op(x), op_jit(x))
  
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 6 for calling the TestNormalizeMinMax obj's underlying member method code with example usage: obj.test_jit(device, dtype) without return types