code: def test_dense_image_warp():
      with open("tests/cached_data/dense_image_warp.pkl", "rb") as f:
          data = pickle.load(f)
  
      for sample in data:
          image = sample["image"]
          flow = sample["flow"]
          tf_image_warp = sample["tf_image_warp"]
  
          image_warp = dense_image_warp(image, flow, align_corners=True)
  
          assert torch.allclose(tf_image_warp, image_warp)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_dense_image_warp() without return types