code: def test_predict_tuple_x_and_tuple_y_predict_doesnt_crash(
      tuner_fn, tmp_path
  ):
      auto_model = ak.AutoModel(
          ak.ImageInput(), ak.RegressionHead(), directory=tmp_path
      )
      dataset = tf.data.Dataset.from_tensor_slices(
          ((np.random.rand(100, 32, 32, 3),), (np.random.rand(100, 1),))
      )
      auto_model.fit(dataset)
      auto_model.predict(dataset)
  
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 26 for calling a global function with example usage: test_predict_tuple_x_and_tuple_y_predict_doesnt_crash(tuner_fn, tmp_path) without return types