code: def get_config(self):
      config: dict[str, t.Any] = super().get_config()
      config.update({"units": self.units.numpy()})
      return config
  
imports: from __future__ import annotations
  import typing
  from typing import TYPE_CHECKING
  import keras
  import keras.layers
  import keras.optimizers
  import numpy
  import tensorflow
  import bentoml
  from .None import FrameworkTestModel
  from .None import FrameworkTestModelConfiguration
  from .None import FrameworkTestModelInput
label_desc: Use image node_id 3 for calling the CustomLayer obj's underlying member method code with example usage: obj.get_config() and returns: config