class_docstr: Adapter which allows `Saveable` object to be checkpointed by TensorFlow.
class_docstr_tok: ["Adapter","which","allows","`","Saveable","`","object","to","be","checkpointed","by","TensorFlow","."]
code: def __init__(self, object_to_save: core.Saveable):
      self._object_to_save = object_to_save
  
imports: import abc
  import datetime
  import os
  import pickle
  import time
  from typing import Mapping, Optional, Union
  from absl import logging
  from acme import core
  from acme.utils import signals
  from acme.utils import paths
  import sonnet
  import tensorflow
  import tree
  from tensorflow.python.saved_model import revived_types
label_desc: Use image node_id 1 to create a new SaveableAdapter object from inherited base classes: tf.train.experimental with example: obj = SaveableAdapter(object_to_save)