code: def __init__(self, units: int = 32, **kwargs: t.Any):
      super().__init__(**kwargs)
      self.units = tf.Variable(units, name="units")
  
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 1 to create a new CustomLayer object from inherited base classes: keras.layers with example: obj = CustomLayer(units)