0ff5e51fc622f02e1c434ad10642f03e36168433,tests/autokeras/engine/tuner_test.py,,test_preprocessing_adapt_with_text_vec,#,158

Before Change

            super().adapt(*args, **kwargs)
            self.is_called = True

    (x_train, y_train), (x_test, y_test) = utils.imdb_raw()
    dataset = tf.data.Dataset.from_tensor_slices((x_train, y_train)).batch(32)
    layer1 = MockLayer(max_tokens=5000, output_mode="int", output_sequence_length=40)
    model = tf.keras.models.Sequential()
    model.add(tf.keras.Input(shape=(1,), dtype=tf.string))

After Change

            super().adapt(*args, **kwargs)
            self.is_called = True

    x_train = utils.generate_text_data()
    y_train = np.random.randint(0, 2, (100,))
    dataset = tf.data.Dataset.from_tensor_slices((x_train, y_train)).batch(32)
    layer1 = MockLayer(max_tokens=5000, output_mode="int", output_sequence_length=40)
    model = tf.keras.models.Sequential()

Instances