code: def test_forth_and_back(self, device, dtype):  # skipcq: PYL-R0201
      datay = torch.rand(1, 4, 6, device=device, dtype=dtype)
      datauv = torch.rand(2, 4, 3, device=device, dtype=dtype)
      rgb = kornia.color.yuv422_to_rgb
      yuv = kornia.color.rgb_to_yuv422
  
      (data_outy, data_outuv) = yuv(rgb(datay, datauv))
      self.assert_close(data_outy, datay, low_tolerance=True)
      self.assert_close(data_outuv, datauv, low_tolerance=True)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  from kornia.testing import BaseTester
label_desc: Use image node_id 4 for calling the TestYuv422ToRgb obj's underlying member method code with example usage: obj.test_forth_and_back(device, dtype) without return types