code: def test_smoke(self, device, dtype):
      mean = [0.5]
      std = [0.1]
      repr = "Normalize(mean=tensor([0.5000]), std=tensor([0.1000]))"
      assert str(kornia.enhance.Normalize(mean, std)) == repr
  
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 TestNormalize obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types