code: def remove_training_arg(index, args, kwargs):
      if (
          index is None or index < 0 or len(args) <= index
      ):  # index is invalid
          kwargs.pop("training", None)
      else:
          args.pop(index)
  
imports: import itertools
  import threading
  import types
  from tensorflow.python.eager import context
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.engine import base_layer_utils
  from tensorflow.python.keras.utils import control_flow_util
  from tensorflow.python.keras.utils import tf_contextlib
  from tensorflow.python.keras.utils import tf_inspect
  from tensorflow.python.keras.utils.generic_utils import LazyLoader
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 9 for calling a global function with example usage: remove_training_arg(index, args, kwargs) without return types