class_docstr: A historical embedding storage module.
code: def forward(self, *args, **kwargs):
      """"""
      raise NotImplementedError
  
file_path: DIG/dig/lsgraph/method/GraphFMOB/history.py
imports: from typing import Optional
  import torch
  from torch import Tensor
label_desc: Use image node_id 6 for calling the History obj's underlying member method code with example usage: obj.forward() without return types