code: def __init__(self):
      super().__init__()
      self.weights = np.asfarray([[1.0], [1.0], [1.0], [1.0], [1.0]])
      self.dense = lambda tensor: tf.matmul(tensor, self.weights)
  
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 1 to create a new MultiInputModel object from inherited base classes: tf with example: obj = MultiInputModel()