code: def test_transform2d(self, height, width, expected, device, dtype):
      output = kornia.geometry.conversions.normal_transform_pixel(
          height, width, device=device, dtype=dtype
      )
  
      assert_close(
          output,
          expected.to(device=device, dtype=dtype),
          atol=1e-4,
          rtol=1e-4,
      )
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
  from kornia.utils.helpers import _torch_inverse_cast
label_desc: Use image node_id 1 for calling the TestHomographyNormalTransform obj's underlying member method code with example usage: obj.test_transform2d(height, width, expected, device, dtype) without return types