code: def load_op_library(library_filename):
      """Loads a TensorFlow plugin, containing custom ops and kernels.
  
      Pass "library_filename" to a platform-specific mechanism for dynamically
      loading a library. The rules for determining the exact location of the
      library are platform-specific and are not documented here. When the
      library is loaded, ops and kernels registered in the library via the
      `REGISTER_*` macros are made available in the TensorFlow process. Note
      that ops with the same name as an existing op are rejected and not
      registered with the process.
  
      Args:
        library_filename: Path to the plugin.
          Relative or absolute filesystem path to a dynamic library file.
  
      Returns:
        A python module containing the Python wrappers for Ops defined in
        the plugin.
  
      Raises:
        RuntimeError: when unable to load the library or get the python wrappers.
      """
      lib_handle = py_tf.TF_LoadLibrary(library_filename)
      try:
          wrappers = _pywrap_python_op_gen.GetPythonWrappers(
              py_tf.TF_GetOpList(lib_handle)
          )
      finally:
          # Delete the library handle to release any memory held in C
          # that are no longer needed.
          py_tf.TF_DeleteLibraryHandle(lib_handle)
  
      # Get a unique name for the module.
      module_name = hashlib.sha1(wrappers).hexdigest()
      if module_name in sys.modules:
          return sys.modules[module_name]
      module_spec = importlib.machinery.ModuleSpec(module_name, None)
      module = importlib.util.module_from_spec(module_spec)
      # pylint: disable=exec-used
      exec(wrappers, module.__dict__)
      # Allow this to be recognized by AutoGraph.
      setattr(module, "_IS_TENSORFLOW_PLUGIN", True)
      sys.modules[module_name] = module
      return module
  
file_path: tensorflow-upstream/tensorflow/python/framework/load_library.py
imports: import errno
  import hashlib
  import importlib
  import os
  import platform
  import sys
  from tensorflow.python.client import pywrap_tf_session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import _pywrap_python_op_gen
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: load_op_library(library_filename) and returns: module, sys