class_docstr: A historical embedding storage module.
code: def __repr__(self) -> str:
      return (
          f"{self.__class__.__name__}({self.num_embeddings}, "
          f"{self.embedding_dim}, emb_device={self.emb.device}, "
          f"device={self._device})"
      )
  
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 7 for calling the History obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str, self, str, self, str, self, str