code: def test_dynamo(self, device, dtype, torch_optimizer):
      # TODO: update the dexined to be possible to use with dynamo
      inpt = torch.rand(2, 3, 32, 32, device=device, dtype=dtype)
      op = DexiNed(pretrained=True).to(device, dtype)
      op_optimized = torch_optimizer(op)
  
      expected = op(inpt)
      actual = op_optimized(inpt)
  
      assert_close(actual, expected)
  
imports: import pytest
  import torch
  from kornia.filters import DexiNed, filter2d, filter2d_separable, filter3d
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
  from kornia.utils._compat import torch_version_le
label_desc: Use image node_id 3 for calling the TestDexiNed obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types