code: def register_custom_opdefs(custom_opdefs_list):
      """Register the given custom opdefs to the TensorFlow global op registry.
  
      Args:
        custom_opdefs_list: String representing the custom ops OpDefs that are
          included in the GraphDef.
  
      Returns:
        True if the registration is successfully completed.
      """
      return wrap_toco.wrapped_register_custom_opdefs(
          custom_opdefs_list
      )
  
imports: import distutils.spawn
  import enum
  import hashlib
  import os
  import platform
  import subprocess
  import tempfile
  from typing import Optional
  import warnings
  from tensorflow.compiler.mlir.quantization.stablehlo import quantization_options_pb2
  from tensorflow.lite.python import lite_constants
  from tensorflow.lite.python import util
  from tensorflow.lite.python import wrap_toco
  from tensorflow.lite.python.convert_phase import Component
  from tensorflow.lite.python.convert_phase import convert_phase
  from tensorflow.lite.python.convert_phase import ConverterError
  from tensorflow.lite.python.convert_phase import SubComponent
  from tensorflow.lite.python.metrics import converter_error_data_pb2
  from tensorflow.lite.python.metrics.wrapper import metrics_wrapper
  from tensorflow.lite.toco import model_flags_pb2
  from tensorflow.lite.toco import toco_flags_pb2
  from tensorflow.lite.toco import types_pb2
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 7 for calling a global function with example usage: register_custom_opdefs(custom_opdefs_list) and returns: wrap_toco