code: def gaussian(self, device, dtype):
      return torch.tensor(
          [
              [0.002969, 0.013306, 0.021938, 0.013306, 0.002969],
              [0.013306, 0.059634, 0.098320, 0.059634, 0.013306],
              [0.021938, 0.098320, 0.162103, 0.098320, 0.021938],
              [0.013306, 0.059634, 0.098320, 0.059634, 0.013306],
              [0.002969, 0.013306, 0.021938, 0.013306, 0.002969],
          ],
          dtype=dtype,
          device=device,
      )
  
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 1 for calling the TestRenderGaussian2d obj's underlying member method code with example usage: obj.gaussian(device, dtype) and returns: torch