code: def test_smoke(
      self, batch_size, mode, order, normalized, device, dtype
  ):
      inpt = torch.zeros(
          batch_size, 3, 4, 4, device=device, dtype=dtype
      )
      actual = SpatialGradient(mode, order, normalized)(inpt)
      assert isinstance(actual, torch.Tensor)
  
imports: import pytest
  import torch
  from kornia.filters import Sobel, SpatialGradient, SpatialGradient3d, sobel, spatial_gradient, spatial_gradient3d
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 1 for calling the TestSpatialGradient obj's underlying member method code with example usage: obj.test_smoke(batch_size, mode, order, normalized, device, dtype) without return types