code: def test_normalized_coordinates(self, gaussian, device, dtype):
      mean = torch.tensor([0.0, 0.0], dtype=dtype, device=device)
      std = torch.tensor([0.25, 0.25], dtype=dtype, device=device)
      actual = kornia.geometry.subpix.render_gaussian2d(
          mean, std, (5, 5), True
      )
      assert_close(actual, gaussian, rtol=0, atol=1e-4)
  
file_path: kornia/test/geometry/subpix/test_dsnt.py
imports: import pytest
  import torch
  import kornia
  from kornia.testing import assert_close
label_desc: Use image node_id 3 for calling the TestRenderGaussian2d obj's underlying member method code with example usage: obj.test_normalized_coordinates(gaussian, device, dtype) without return types