import tensorflow as tf

                    have_data = True
        load_data_during_test()

        logger.info(f'Load the task{snapshot} saver!')
        saver.load_state_dict(np.load(f'./{setting}/{taskname}.task{snapshot}.saver.npy', allow_pickle=True)[()])

        logger.info('Update all copies! (lazymodel, normalizers_copy)')
        tf.get_default_session().run(sync_model_to_lazymodel)
        tf.get_default_session().run(copy_normalizers)
        logger.info('Loaded normalizers:')
        load_norm = tf.get_default_session().run(normalizers_parameters)
        logger.info(load_norm)

        TASK_NUM = train_tasknum
        TEST_TASK_NUM = 0
        ########################## debug #########################
