code: def test_smoke(
      self, shape, padding, window_size, max_value, device, dtype
  ):
      img_a = (
          torch.ones(shape, device=device, dtype=dtype) * max_value
      ).clamp(0.0, max_value)
      img_b = torch.zeros(shape, device=device, dtype=dtype)
  
      actual = kornia.metrics.ssim3d(
          img_a, img_b, window_size, max_value, padding=padding
      )
      expected = torch.ones_like(actual, device=device, dtype=dtype)
  
      self.assert_close(actual, expected * 0.0001)
  
      actual = kornia.metrics.ssim3d(
          img_a, img_a, window_size, max_value, padding=padding
      )
      self.assert_close(actual, expected)
  
imports: import pytest
  import torch
  import kornia
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
label_desc: Use image node_id 1 for calling the TestSSIM3d obj's underlying member method code with example usage: obj.test_smoke(shape, padding, window_size, max_value, device, dtype) without return types