code: def test_opencv(self, device, dtype):
      data = torch.tensor(
          [
              [
                  [
                      0.4684734,
                      0.8954562,
                      0.6064363,
                      0.5236061,
                      0.6106016,
                  ],
                  [
                      0.1709944,
                      0.5133104,
                      0.7915002,
                      0.5745703,
                      0.1680204,
                  ],
                  [
                      0.5279005,
                      0.6092287,
                      0.3034387,
                      0.5333768,
                      0.6064113,
                  ],
                  [
                      0.3503858,
                      0.5720159,
                      0.7052018,
                      0.4558409,
                      0.3261529,
                  ],
                  [
                      0.6988886,
                      0.5897652,
                      0.6532392,
                      0.7234108,
                      0.7218805,
                  ],
              ]
          ],
          device=device,
          dtype=dtype,
      )
  
      # Output data generated with OpenCV 4.5.2: cv2.cvtColor(img_np, cv2.COLOR_GRAY2RGB)
      expected = torch.tensor(
          [
              [
                  [
                      0.4684734,
                      0.8954562,
                      0.6064363,
                      0.5236061,
                      0.6106016,
                  ],
                  [
                      0.1709944,
                      0.5133104,
                      0.7915002,
                      0.5745703,
                      0.1680204,
                  ],
                  [
                      0.5279005,
                      0.6092287,
                      0.3034387,
                      0.5333768,
                      0.6064113,
                  ],
                  [
                      0.3503858,
                      0.5720159,
                      0.7052018,
                      0.4558409,
                      0.3261529,
                  ],
                  [
                      0.6988886,
                      0.5897652,
                      0.6532392,
                      0.7234108,
                      0.7218805,
                  ],
              ],
              [
                  [
                      0.4684734,
                      0.8954562,
                      0.6064363,
                      0.5236061,
                      0.6106016,
                  ],
                  [
                      0.1709944,
                      0.5133104,
                      0.7915002,
                      0.5745703,
                      0.1680204,
                  ],
                  [
                      0.5279005,
                      0.6092287,
                      0.3034387,
                      0.5333768,
                      0.6064113,
                  ],
                  [
                      0.3503858,
                      0.5720159,
                      0.7052018,
                      0.4558409,
                      0.3261529,
                  ],
                  [
                      0.6988886,
                      0.5897652,
                      0.6532392,
                      0.7234108,
                      0.7218805,
                  ],
              ],
              [
                  [
                      0.4684734,
                      0.8954562,
                      0.6064363,
                      0.5236061,
                      0.6106016,
                  ],
                  [
                      0.1709944,
                      0.5133104,
                      0.7915002,
                      0.5745703,
                      0.1680204,
                  ],
                  [
                      0.5279005,
                      0.6092287,
                      0.3034387,
                      0.5333768,
                      0.6064113,
                  ],
                  [
                      0.3503858,
                      0.5720159,
                      0.7052018,
                      0.4558409,
                      0.3261529,
                  ],
                  [
                      0.6988886,
                      0.5897652,
                      0.6532392,
                      0.7234108,
                      0.7218805,
                  ],
              ],
          ],
          device=device,
          dtype=dtype,
      )
  
      img_rgb = kornia.color.grayscale_to_rgb(data)
      assert_close(img_rgb, expected)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  from kornia.testing import BaseTester, assert_close
  from kornia.utils._compat import torch_version
label_desc: Use image node_id 4 for calling the TestGrayscaleToRgb obj's underlying member method code with example usage: obj.test_opencv(device, dtype) without return types