code: def skipIfNoHWAccel(name):
      key = "NO_HW_ACCEL"
      if not _IS_FFMPEG_AVAILABLE:
          return _skipIf(
              True, reason="ffmpeg features are not available.", key=key
          )
      if not torch.cuda.is_available():
          return _skipIf(True, reason="CUDA is not available.", key=key)
      if torchaudio._extension._check_cuda_version() is None:
          return _skipIf(
              True, "Torchaudio is not compiled with CUDA.", key=key
          )
      if (
          name not in get_video_decoders()
          and name not in get_video_encoders()
      ):
          return _skipIf(
              True,
              f"{name} is not in the list of available decoders or encoders",
              key=key,
          )
      return _pass
  
imports: import functools
  import os.path
  import shutil
  import subprocess
  import sys
  import tempfile
  import time
  import unittest
  from itertools import zip_longest
  import torch
  import torchaudio
  import torio
  from torch.testing._internal.common_utils import TestCase
  from torchaudio._internal.module_utils import eval_env, is_module_available
  from torchaudio.utils.ffmpeg_utils import get_video_decoders, get_video_encoders
label_desc: Use image node_id 10 for calling a global function with example usage: skipIfNoHWAccel(name) and returns: _pass, _skipIf, _skipIf, _skipIf, _skipIf