code: def call(self, inputs: t.Any, *args: t.Any, training: bool = False):
      if training:
          return inputs * self.units
      else:
          return inputs
  
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 2 for calling the CustomLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: unknown, inputs