def get_multi_inputs_multi_outputs_data():
    ((a_train, c_train), (a_test, c_test)) = testing_utils.get_test_data(train_samples=_TRAIN_SIZE, test_samples=50, input_shape=(16,), num_classes=3, random_seed=_RANDOM_SEED)
    ((b_train, d_train), (b_test, d_test)) = testing_utils.get_test_data(train_samples=_TRAIN_SIZE, test_samples=50, input_shape=(16,), num_classes=2, random_seed=_RANDOM_SEED)
    ((m_train, _), (m_test, _)) = testing_utils.get_test_data(train_samples=_TRAIN_SIZE, test_samples=50, input_shape=(8,), num_classes=2, random_seed=_RANDOM_SEED)
    c_train = keras.utils.to_categorical(c_train)
    c_test = keras.utils.to_categorical(c_test)
    d_train = keras.utils.to_categorical(d_train)
    d_test = keras.utils.to_categorical(d_test)
    train_data = {'input_a': a_train, 'input_b': b_train, 'input_m': m_train, 'output_c': c_train, 'output_d': d_train}
    test_data = {'input_a': a_test, 'input_b': b_test, 'input_m': m_test, 'output_c': c_test, 'output_d': d_test}
    return (train_data, test_data)
def get_multi_inputs_multi_outputs_data():
    ((a_train, c_train), (a_test, c_test)) = testing_utils.get_test_data(train_samples=_TRAIN_SIZE, test_samples=50, input_shape=(16,), num_classes=3, random_seed=_RANDOM_SEED)
    ((b_train, d_train), (b_test, d_test)) = testing_utils.get_test_data(train_samples=_TRAIN_SIZE, test_samples=50, input_shape=(16,), num_classes=2, random_seed=_RANDOM_SEED)
    ((m_train, _), (m_test, _)) = testing_utils.get_test_data(train_samples=_TRAIN_SIZE, test_samples=50, input_shape=(8,), num_classes=2, random_seed=_RANDOM_SEED)
    c_train = keras.utils.to_categorical(c_train)
    c_test = keras.utils.to_categorical(c_test)
    d_train = keras.utils.to_categorical(d_train)
    d_test = keras.utils.to_categorical(d_test)
    train_data = {'input_a': a_train, 'input_b': b_train, 'input_m': m_train, 'output_c': c_train, 'output_d': d_train}
    test_data = {'input_a': a_test, 'input_b': b_test, 'input_m': m_test, 'output_c': c_test, 'output_d': d_test}
    return (train_data, test_data)