code: def check_cuda_torch_binary_vs_bare_metal(cuda_dir):
      raw_output, bare_metal_version = get_cuda_bare_metal_version(
          cuda_dir
      )
      torch_binary_version = parse(torch.version.cuda)
  
      print("\nCompiling cuda extensions with")
      print(raw_output + "from " + cuda_dir + "/bin\n")
  
      if bare_metal_version != torch_binary_version:
          raise RuntimeError(
              "Cuda extensions are being compiled with a version of Cuda that does "
              "not match the version used to compile Pytorch binaries.  "
              "Pytorch binaries were compiled with Cuda {}.\n".format(
                  torch.version.cuda
              )
              + "In some cases, a minor-version mismatch will not cause later errors:  "
              "https://github.com/NVIDIA/apex/pull/323#discussion_r287021798.  "
              "You can try commenting out this check (at your own risk)."
          )
  
file_path: flash-attention/csrc/layer_norm/setup.py
imports: import sys
  import warnings
  import os
  from packaging.version import parse, Version
  import torch
  from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension, CUDA_HOME
  from setuptools import setup, find_packages
  import subprocess
label_desc: Use image node_id 2 for calling a global function with example usage: check_cuda_torch_binary_vs_bare_metal(cuda_dir) without return types