code: def test_decode_image_cuda_raises():
      data = torch.randint(
          0, 127, size=(255,), device="cuda", dtype=torch.uint8
      )
      with pytest.raises(RuntimeError):
          decode_image(data)
  
imports: import glob
  import io
  import os
  import sys
  from pathlib import Path
  import numpy
  import pytest
  import torch
  import torchvision.transforms.functional
  from common_utils import assert_equal, needs_cuda
  from PIL import __version__, Image
  from torchvision.io.image import _read_png_16, decode_image, decode_jpeg, decode_png, encode_jpeg, encode_png, ImageReadMode, read_file, read_image, write_file, write_jpeg, write_png
label_desc: Use image node_id 22 for calling a global function with example usage: test_decode_image_cuda_raises() without return types