code: def test_decode_jpeg_errors():
      with pytest.raises(
          RuntimeError,
          match="Expected a non empty 1-dimensional tensor",
      ):
          decode_jpeg(torch.empty((100, 1), dtype=torch.uint8))
  
      with pytest.raises(
          RuntimeError, match="Expected a torch.uint8 tensor"
      ):
          decode_jpeg(torch.empty((100,), dtype=torch.float16))
  
      with pytest.raises(RuntimeError, match="Not a JPEG file"):
          decode_jpeg(torch.empty((100), dtype=torch.uint8))
  
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 6 for calling a global function with example usage: test_decode_jpeg_errors() without return types