class_docstr: A raw input example consisting of segments of text,
  a label for classification task or a target sequence of generation task.
  Other desired information can be passed via meta.
  
  Args:
      guid (:obj:`str`, optional): A unique identifier of the example.
      text_a (:obj:`str`, optional): The placeholder for sequence of text.
      text_b (:obj:`str`, optional): A secend sequence of text, which is not always necessary.
      label (:obj:`int`, optional): The label id of the example in classification task.
      tgt_text (:obj:`Union[str,List[str]]`, optional):  The target sequence of the example in a generation task..
      meta (:obj:`Dict`, optional): An optional dictionary to store arbitrary extra information for the example.
docstr: Save a set of input examples to a file
docstr_tok: ["Save","a","set","of","input","examples","to","a","file"]
code: def save_examples(examples: List["InputExample"], path: str) -> None:
      """Save a set of input examples to a file"""
      with open(path, "wb") as fh:
          pickle.dump(examples, fh)
  
imports: import copy
  import json
  import pickle
  from typing import *
  import torch
  from torch.utils.data._utils.collate import default_collate
  from openprompt.utils.logging import logger
  from typing import Union
label_desc: Use image node_id 7 for calling the InputExample obj's underlying member method code with example usage: obj.save_examples(examples, path) without return types