How to use the ramp-engine.ramp_engine.aws.api.HOOK_FAILED_TRAINING function in ramp-engine

conf_aws, instance_id, submission_id)
        set_predictions(config, submission_id, predictions_folder_path)
        set_time(config, submission_id, predictions_folder_path)
        set_scores(config, submission_id, predictions_folder_path)
        set_submission_state(config, submission_id, 'tested')
        logger.info('Scoring "{}"'.format(label))
        score_submission(config, submission_id)
        _run_hook(config, HOOK_SUCCESSFUL_TRAINING, submission_id)
    else:
        logger.info('Training of "{}" in "{}" failed'.format(
            label, instance_id))
        set_submission_state(config, submission_id, 'training_error')
        error_msg = _get_traceback(
            _get_log_content(conf_aws, submission_id))
        set_submission_error_msg(config, submission_id, error_msg)
        _run_hook(config, HOOK_FAILED_TRAINING, submission_id)

path = download_predictions(
                            conf_aws, instance_id, submission_name)
                        set_predictions(config, submission_id, path)
                        set_time(config, submission_id, path)
                        set_scores(config, submission_id, path)
                        set_submission_state(config, submission_id, 'tested')
                    else:
                        logger.info('Training of "{}" failed'.format(label))
                        set_submission_state(
                            config, submission_id, 'training_error')
                        error_msg = _get_traceback(
                            _get_log_content(conf_aws, submission_name)
                        )
                        set_submission_error_msg(
                            config, submission_id, error_msg)
                        _run_hook(config, HOOK_FAILED_TRAINING, submission_id)
                    # training finished, so terminate the instance
                    terminate_ec2_instance(conf_aws, instance_id)
        time.sleep(secs)