class_docstr: Base class for all the templates.
  Most of methods are abstract, with some exceptions to hold the common methods for all template, such as ``loss_ids``, ``save``, ``load``.
  
  Args:
      tokenizer (:obj:`PreTrainedTokenizer`): A tokenizer to appoint the vocabulary and the tokenization strategy.
      placeholder_mapping (:obj:`dict`): A place holder to represent the original input text.
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docstr: A save method API.
  
  Args:
      path (str): A path to save your template.
code: def save(self, path: str, **kwargs) -> None:
      r"""
      A save method API.
  
      Args:
          path (str): A path to save your template.
      """
      raise NotImplementedError
  
imports: from abc import abstractmethod
  import json
  from transformers.file_utils import ModelOutput
  from openprompt.config import convert_cfg_to_dict
  from transformers.utils.dummy_pt_objects import PreTrainedModel
  from openprompt.utils.utils import signature
  from yacs.config import CfgNode
  from openprompt.data_utils import InputFeatures, InputExample
  import torch
  import torch.nn
  from typing import *
  from transformers.tokenization_utils import PreTrainedTokenizer
  from openprompt.utils.logging import logger
  import numpy
  import torch.nn.functional
label_desc: Use image node_id 11 for calling the Template obj's underlying member method code with example usage: obj.save(path) without return types