class_docstr: 用来初始化 `Driver` 的基类，所有定制的 `driver` 都需要继承此类；
  **fastNLP** 提供的 driver 实例都会同时被 :class:`~fastNLP.core.controllers.Trainer` 和 :class:`~fastNLP.core.controllers.Evaluator` 调用。
  
  :param model: 训练或者评测的模型，需要注意该模型可能为用户已经使用类似 :class:`torch.nn.DataParallel` 或者
      :class:`torch.nn.parallel.DistributedDataParallel` 包裹过的模型。
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docstr: 将一个 ``tensor`` 对象（仅处理当前 driver 使用的 tensor 即可）转换为 python 的 ``numeric`` 对象；如果 ``tensor`` 只包含一个
  元素则返回 ``float`` 或 ``int``。
  
  :param tensor: 需要被转换的 ``tensor`` 对象
  :param reduce: 可选 ``['sum', 'max', 'mea', 'min']``，如果不为 ``None`` 将使用该 ``reduce`` 方法来处理当前 ``tensor`` 再返回
      :class:`float` 或 :class:`int` 对象
  :return: 转换后返回的结果
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code: def tensor_to_numeric(tensor, reduce: Optional[str] = None):
      r"""
      将一个 ``tensor`` 对象（仅处理当前 driver 使用的 tensor 即可）转换为 python 的 ``numeric`` 对象；如果 ``tensor`` 只包含一个
      元素则返回 ``float`` 或 ``int``。
  
      :param tensor: 需要被转换的 ``tensor`` 对象
      :param reduce: 可选 ``['sum', 'max', 'mea', 'min']``，如果不为 ``None`` 将使用该 ``reduce`` 方法来处理当前 ``tensor`` 再返回
          :class:`float` 或 :class:`int` 对象
      :return: 转换后返回的结果
      """
      raise NotImplementedError(
          "Each specific driver should implemented its own `tensor_to_numeric` function."
      )
  
imports: import os
  import signal
  import sys
  from typing import Sequence, List, Optional, Callable, Dict, Union, Tuple
  from abc import ABC, abstractmethod
  from datetime import datetime
  from pathlib import Path
  from io import BytesIO
  import json
  from fastNLP.core.utils import nullcontext
label_desc: Use image node_id 29 for calling the Driver obj's underlying member method code with example usage: obj.tensor_to_numeric(tensor, reduce) without return types