code: def _check_cuda_version():
      import torchaudio.lib._torchaudio
  
      version = torchaudio.lib._torchaudio.cuda_version()
      if version is not None and torch.version.cuda is not None:
          version_str = str(version)
          ta_version = f"{version_str[:-3]}.{version_str[-2]}"
          t_version = torch.version.cuda.split(".")
          t_version = f"{t_version[0]}.{t_version[1]}"
          if ta_version != t_version:
              raise RuntimeError(
                  "Detected that PyTorch and TorchAudio were compiled with different CUDA versions. "
                  f"PyTorch has CUDA version {t_version} whereas TorchAudio has CUDA version {ta_version}. "
                  "Please install the TorchAudio version that matches your PyTorch version."
              )
      return version
  
imports: import importlib
  import logging
  import os
  import types
  from pathlib import Path
  import torch
  from torchaudio._internal.module_utils import eval_env
label_desc: Use image node_id 6 for calling a global function with example usage: _check_cuda_version() and returns: version