code: def make_keras_functional_model() -> tf.keras.Model:
      x = tf.keras.layers.Input((5,), dtype=tf.float64, name="x")
      y = tf.keras.layers.Dense(
          6,
          name="out",
          kernel_initializer=tf.keras.initializers.Ones(),
      )(x)
      return tf.keras.Model(inputs=x, outputs=y)
  
imports: from __future__ import annotations
  import typing
  import keras
  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 a global function with example usage: make_keras_functional_model() and returns: tf