code: def test_noncontiguous(self, device, dtype):
      batch_size = 3
      inp = torch.rand(3, 5, 5, device=device, dtype=dtype).expand(
          batch_size, -1, -1, -1
      )
  
      kernel_size = (3, 3)
      actual = median_blur(inp, kernel_size)
      assert actual.is_contiguous()
  
file_path: kornia/test/filters/test_median.py
imports: import pytest
  import torch
  from kornia.filters import MedianBlur, median_blur
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 6 for calling the TestMedianBlur obj's underlying member method code with example usage: obj.test_noncontiguous(device, dtype) without return types