code: def test_cardinality(self, batch_size, device, dtype):
      kernel = torch.rand(1, 3, 3, 3, device=device, dtype=dtype)
      inpt = torch.ones(
          batch_size, 3, 6, 7, 8, device=device, dtype=dtype
      )
      assert filter3d(inpt, kernel).shape == inpt.shape
  
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 2 for calling the TestFilter3D obj's underlying member method code with example usage: obj.test_cardinality(batch_size, device, dtype) without return types