def _feature_selection_active_handlers():
    used_handlers = array_ops.reshape(predictions_dict[USED_HANDLERS_MASK], [(- 1), 1])
    used_handlers = array_ops.concat([used_handlers, used_handlers], axis=1)
    return math_ops.logical_and(used_handlers, active_handlers)
def _feature_selection_active_handlers():
    used_handlers = array_ops.reshape(predictions_dict[USED_HANDLERS_MASK], [(- 1), 1])
    used_handlers = array_ops.concat([used_handlers, used_handlers], axis=1)
    return math_ops.logical_and(used_handlers, active_handlers)