code: def is_auto_gptq_available():
      if _auto_gptq_available:
          version_autogptq = packaging.version.parse(
              importlib_metadata.version("auto_gptq")
          )
          if AUTOGPTQ_MINIMUM_VERSION < version_autogptq:
              return True
          else:
              raise ImportError(
                  f"Found an incompatible version of auto-gptq. Found version {version_autogptq}, but only version above {AUTOGPTQ_MINIMUM_VERSION} are supported"
              )
  
imports: import importlib.util
  import inspect
  import sys
  from collections import OrderedDict
  from contextlib import contextmanager
  from typing import Tuple, Union
  import numpy
  import packaging
  from transformers.utils import is_torch_available
label_desc: Use image node_id 10 for calling a global function with example usage: is_auto_gptq_available() and returns: True