code: def test_dynamo(
      self, normalized, padding, device, dtype, torch_optimizer
  ):
      kernel = torch.rand(1, 3, 3, device=device, dtype=dtype)
      inpt = torch.ones(2, 3, 10, 10, device=device, dtype=dtype)
      op = filter2d
      op_optimized = torch_optimizer(op)
  
      expected = op(
          inpt, kernel, padding=padding, normalized=normalized
      )
      actual = op_optimized(
          inpt, kernel, padding=padding, 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 14 for calling the TestFilter2D obj's underlying member method code with example usage: obj.test_dynamo(normalized, padding, device, dtype, torch_optimizer) without return types