code: def custom_activation(x: tf_ext.TensorLike) -> tf_ext.TensorLike:
      return tf.nn.tanh(x) ** 2
  
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 for calling a global function with example usage: custom_activation(x) and returns: unknown