code: def test_multi_input_predict(tuner_fn, tmp_path):
      auto_model = get_multi_io_auto_model(tmp_path)
      x1 = test_utils.generate_data()
      y1 = test_utils.generate_data(shape=(1,))
      dataset = tf.data.Dataset.from_tensor_slices(((x1, x1), (y1, y1)))
      auto_model.fit(dataset, None, epochs=2, validation_data=dataset)
  
      dataset2 = tf.data.Dataset.from_tensor_slices(((x1, x1),))
      auto_model.predict(dataset2)
  
imports: from unittest import mock
  import keras_tuner
  import numpy
  import pytest
  import tensorflow
  import autokeras
  from autokeras import test_utils
label_desc: Use image node_id 21 for calling a global function with example usage: test_multi_input_predict(tuner_fn, tmp_path) without return types