code: def test_noncontiguous(self, padding, device, dtype):
      batch_size = 3
      inp = torch.rand(3, 5, 5, device=device, dtype=dtype).expand(
          batch_size, -1, -1, -1
      )
      kernel = torch.ones(1, 2, 2, device=device, dtype=dtype)
  
      actual = filter2d(inp, kernel, padding=padding)
      assert actual.is_contiguous()
  
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 10 for calling the TestFilter2D obj's underlying member method code with example usage: obj.test_noncontiguous(padding, device, dtype) without return types