code: def test_exception(self, device, dtype):
      img = torch.rand(1, 1, 3, 3, 3, device=device, dtype=dtype)
  
      # Check if both are tensors
      with pytest.raises(TypeError) as errinfo:
          kornia.metrics.ssim3d(1.0, img, 3)
      assert "Not a Tensor type. Got:" in str(errinfo)
  
      with pytest.raises(TypeError) as errinfo:
          kornia.metrics.ssim3d(img, 1.0, 3)
      assert "Not a Tensor type. Got:" in str(errinfo)
  
      # Check both shapes
      img_wrong_shape = torch.rand(3, 3, device=device, dtype=dtype)
      with pytest.raises(TypeError) as errinfo:
          kornia.metrics.ssim3d(img, img_wrong_shape, 3)
      assert "shape must be [" in str(errinfo)
  
      with pytest.raises(TypeError) as errinfo:
          kornia.metrics.ssim3d(img_wrong_shape, img, 3)
      assert "shape must be [" in str(errinfo)
  
      # Check if same shape
      img_b = torch.rand(1, 1, 3, 3, 4, device=device, dtype=dtype)
      with pytest.raises(Exception) as errinfo:
          kornia.metrics.ssim3d(img, img_b, 3)
      assert "img1 and img2 shapes must be the same. Got:" in str(
          errinfo
      )
  
imports: import pytest
  import torch
  import kornia
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
label_desc: Use image node_id 3 for calling the TestSSIM3d obj's underlying member method code with example usage: obj.test_exception(device, dtype) without return types