class_docstr: 可以将形如 ``[1, 2, 3]`` 这类的数据转为 ``paddle.Tensor([1, 2, 3])``
  
  :param pad_val: 该值无意义；
  :param ele_dtype: 用于检测当前 field 的元素类型是否可以转换为 :class:`paddle.Tensor` 类型；
  :param dtype: 输出的数据的 dtype 是什么。如 :class:`int`, :class:`float`, :class:`int32` 等；
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docstr: 将 ``batch_field`` 数据 转为 :class:`paddle.Tensor` 并 pad 到相同长度。
  
  :param batch_field: 输入的某个 field 的 batch 数据。
  :param pad_val: 需要填充的值
  :param dtype: 数据的类型
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code: def pad(batch_field, pad_val=0, dtype=None):
      """
      将 ``batch_field`` 数据 转为 :class:`paddle.Tensor` 并 pad 到相同长度。
  
      :param batch_field: 输入的某个 field 的 batch 数据。
      :param pad_val: 需要填充的值
      :param dtype: 数据的类型
      """
      return paddle.to_tensor(batch_field, dtype=dtype)
  
imports: from inspect import isclass
  import numpy
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
  from .padder import Padder
  from .utils import is_number_or_numpy_number, is_number, is_numpy_number_dtype, is_numpy_generic_class, get_padded_numpy_array
  from .exceptions import *
label_desc: Use image node_id 2 for calling the PaddleNumberPadder obj's underlying member method code with example usage: obj.pad(batch_field, pad_val, dtype) and returns: paddle