code: def serialize(learning_rate_schedule):
      return generic_utils.serialize_keras_object(
          learning_rate_schedule
      )
  
imports: import abc
  import math
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_conversion
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_case
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 for calling a global function with example usage: serialize(learning_rate_schedule) and returns: generic_utils