code: def test_smoke(self, device, dtype):
      sample = torch.zeros(1, 1, 3, 3, 3, device=device, dtype=dtype)
      m = kornia.geometry.subpix.ConvSoftArgmax3d(
          (3, 3, 3), output_value=False
      )
      assert m(sample).shape == (1, 1, 3, 3, 3, 3)
  
imports: import torch
  from torch.autograd import gradcheck
  from torch.nn.functional import mse_loss
  import kornia
  import kornia.testing
  from kornia.geometry.subpix.spatial_soft_argmax import _get_center_kernel2d, _get_center_kernel3d
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestConvSoftArgmax3d obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types