code: def test_dynamo(self, device, dtype, torch_optimizer):
      mean = torch.tensor([0.0, 0.0], dtype=dtype, device=device)
      std = torch.tensor([0.25, 0.25], dtype=dtype, device=device)
  
      op = kornia.geometry.subpix.render_gaussian2d
      op_optimized = torch_optimizer(op)
  
      assert_close(
          op(mean, std, (5, 5), True),
          op_optimized(mean, std, (5, 5), True),
      )
  
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 4 for calling the TestRenderGaussian2d obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types