code: def test_random_normalize_invalid_parameter_shape(self, mean, std):
      f = kornia.enhance.Normalize(mean=mean, std=std)
      inputs = (
          torch.arange(0.0, 16.0, step=1).reshape(1, 4, 4).unsqueeze(0)
      )
      with pytest.raises(ValueError):
          f(inputs)
  
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 12 for calling the TestNormalize obj's underlying member method code with example usage: obj.test_random_normalize_invalid_parameter_shape(mean, std) without return types