code: def build_model_multi_input() -> tf.keras.Model:
      input1 = tf.keras.layers.Input(shape=(1,), name="A")
      input2 = tf.keras.layers.Input(shape=(1,), name="B")
      output = tf.keras.layers.Add()([input1, input2])
      model = tf.keras.models.Model(
          inputs=[input1, input2], outputs=output
      )
      return model
  
imports: import re
  from typing import Tuple
  import numpy
  import pandas
  import pytest
  import tensorflow
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import _convert_batch_type_to_pandas, _convert_pandas_to_batch_type
  from ray.data.preprocessor import Preprocessor
  from ray.train.predictor import TYPE_TO_ENUM
  from ray.train.tensorflow import TensorflowCheckpoint, TensorflowPredictor
  from ray.train.tests.dummy_preprocessor import DummyPreprocessor
label_desc: Use image node_id 3 for calling a global function with example usage: build_model_multi_input() and returns: model