code: def _get_model():
      input_a = Input(shape=(3,), batch_size=2, name="input_a")
      input_b = Input(shape=(3,), batch_size=2, name="input_b")
      x = input_a + input_b
      x = layers.Dense(5)(x)
      outputs = layers.Dense(4)(x)
      model = Model([input_a, input_b], outputs)
      return model
  
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from keras import layers
  from keras import testing
  from keras.layers.core.input_layer import Input
  from keras.models.functional import Functional
  from keras.models.model import Model
  from keras.models.model import model_from_json
label_desc: Use image node_id 1 for calling a global function with example usage: _get_model() and returns: model