code: def test_cardinality(self, shape, device, dtype):
      img = torch.rand(shape, device=device, dtype=dtype)
  
      actual = kornia.losses.SSIM3DLoss(5, reduction="none")(img, img)
      assert actual.shape == shape
  
      actual = kornia.losses.SSIM3DLoss(5)(img, img)
      assert actual.shape == ()
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import BaseTester, assert_close
label_desc: Use image node_id 5 for calling the TestSSIM3DLoss obj's underlying member method code with example usage: obj.test_cardinality(shape, device, dtype) without return types