code: def get_env_info():
      run_lambda = run
      pip_version, pip_list_output = get_pip_packages(run_lambda)
  
      if TORCH_AVAILABLE:
          version_str = torch.__version__
          debug_mode_str = str(torch.version.debug)
          cuda_available_str = str(torch.cuda.is_available())
          cuda_version_str = torch.version.cuda
          if (
              not hasattr(torch.version, "hip")
              or torch.version.hip is None
          ):  # cuda version
              hip_compiled_version = (
                  hip_runtime_version
              ) = miopen_runtime_version = "N/A"
          else:  # HIP version
  
              def get_version_or_na(cfg, prefix):
                  _lst = [
                      s.rsplit(None, 1)[-1] for s in cfg if prefix in s
                  ]
                  return _lst[0] if _lst else "N/A"
  
              cfg = torch._C._show_config().split("\n")
              hip_runtime_version = get_version_or_na(
                  cfg, "HIP Runtime"
              )
              miopen_runtime_version = get_version_or_na(cfg, "MIOpen")
              cuda_version_str = "N/A"
              hip_compiled_version = torch.version.hip
      else:
          version_str = (
              debug_mode_str
          ) = cuda_available_str = cuda_version_str = "N/A"
          hip_compiled_version = (
              hip_runtime_version
          ) = miopen_runtime_version = "N/A"
  
      sys_version = sys.version.replace("\n", " ")
  
      conda_packages = get_conda_packages(run_lambda)
  
      return SystemEnv(
          torch_version=version_str,
          is_debug_build=debug_mode_str,
          python_version="{} ({}-bit runtime)".format(
              sys_version, sys.maxsize.bit_length() + 1
          ),
          python_platform=get_python_platform(),
          is_cuda_available=cuda_available_str,
          cuda_compiled_version=cuda_version_str,
          cuda_runtime_version=get_running_cuda_version(run_lambda),
          cuda_module_loading=get_cuda_module_loading_config(),
          nvidia_gpu_models=get_gpu_info(run_lambda),
          nvidia_driver_version=get_nvidia_driver_version(run_lambda),
          cudnn_version=get_cudnn_version(run_lambda),
          hip_compiled_version=hip_compiled_version,
          hip_runtime_version=hip_runtime_version,
          miopen_runtime_version=miopen_runtime_version,
          pip_version=pip_version,
          pip_packages=pip_list_output,
          conda_packages=conda_packages,
          os=get_os(run_lambda),
          libc_version=get_libc_version(),
          gcc_version=get_gcc_version(run_lambda),
          clang_version=get_clang_version(run_lambda),
          cmake_version=get_cmake_version(run_lambda),
          caching_allocator_config=get_cachingallocator_config(),
          is_xnnpack_available=is_xnnpack_available(),
          cpu_info=get_cpu_info(run_lambda),
      )
  
imports: import datetime
  import locale
  import re
  import subprocess
  import sys
  import os
  from collections import namedtuple
label_desc: Use image node_id 27 for calling a global function with example usage: get_env_info() and returns: SystemEnv, unknown