code: def test_dynamo(self, normalized, device, dtype, torch_optimizer):
      kernel = torch.rand(1, 3, 3, 3, device=device, dtype=dtype)
      inpt = torch.ones(2, 3, 4, 10, 10, device=device, dtype=dtype)
      op = filter3d
      op_optimized = torch_optimizer(op)
  
      expected = op(inpt, kernel, normalized=normalized)
      actual = op_optimized(inpt, kernel, normalized=normalized)
  
      self.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 11 for calling the TestFilter3D obj's underlying member method code with example usage: obj.test_dynamo(normalized, device, dtype, torch_optimizer) without return types