code: def test_smoke(self, device, dtype):
      # input data
      img1 = torch.rand(1, 1, 2, 4, 3, device=device, dtype=dtype)
      img2 = torch.rand(1, 1, 2, 4, 4, device=device, dtype=dtype)
  
      ssim1 = kornia.losses.ssim3d_loss(
          img1, img1, window_size=3, reduction="none"
      )
      ssim2 = kornia.losses.ssim3d_loss(
          img2, img2, window_size=3, reduction="none"
      )
  
      self.assert_close(ssim1, torch.zeros_like(img1))
      self.assert_close(ssim2, torch.zeros_like(img2))
  
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 1 for calling the TestSSIM3DLoss obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types