code: def _check_cuda_version():
      """
      Make sure that CUDA versions match between the pytorch install and torchvision install
      """
      if not _HAS_OPS:
          return -1
      from torch.version import cuda as torch_version_cuda
  
      _version = torch.ops.torchvision._cuda_version()
      if _version != -1 and torch_version_cuda is not None:
          tv_version = str(_version)
          if int(tv_version) < 10000:
              tv_major = int(tv_version[0])
              tv_minor = int(tv_version[2])
          else:
              tv_major = int(tv_version[0:2])
              tv_minor = int(tv_version[3])
          t_version = torch_version_cuda.split(".")
          t_major = int(t_version[0])
          t_minor = int(t_version[1])
          if t_major != tv_major:
              raise RuntimeError(
                  "Detected that PyTorch and torchvision were compiled with different CUDA major versions. "
                  f"PyTorch has CUDA Version={t_major}.{t_minor} and torchvision has "
                  f"CUDA Version={tv_major}.{tv_minor}. "
                  "Please reinstall the torchvision that matches your PyTorch install."
              )
      return _version
  
file_path: vision/torchvision/extension.py
imports: import os
  import sys
  import torch
  from ._internally_replaced_utils import _get_extension_path
label_desc: Use image node_id 3 for calling a global function with example usage: _check_cuda_version() and returns: _version, unknown