code: def test_noncontiguous(self, batch_size, separable, device, dtype):
      inp = torch.rand(3, 5, 5, device=device, dtype=dtype).expand(
          batch_size, -1, -1, -1
      )
  
      actual = box_blur(inp, 3, separable=separable)
  
      assert actual.is_contiguous()
  
file_path: kornia/test/filters/test_blur.py
imports: import pytest
  import torch
  from kornia.filters import BoxBlur, box_blur
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 8 for calling the TestBoxBlur obj's underlying member method code with example usage: obj.test_noncontiguous(batch_size, separable, device, dtype) without return types