class_docstr: Helper class for async checkpoint.
docstr: Restore the checkpointed variables.
  
  This method has exactly the same logic as restore(). This method is
  implemented only to fulfill the duty of subclassing tf.train.Checkpoint.
  
  Args:
    save_path: The full name of the checkpoint file to be restored.
    options: CheckpointOption instance.
  
  Returns:
    A load status object, which can be used to make assertions about the
    status of a checkpoint restoration. See tf.train.Checkpoint.restore()
    for more details.
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code: def read(self, save_path, options=None):
      """Restore the checkpointed variables.
  
      This method has exactly the same logic as restore(). This method is
      implemented only to fulfill the duty of subclassing tf.train.Checkpoint.
  
      Args:
        save_path: The full name of the checkpoint file to be restored.
        options: CheckpointOption instance.
  
      Returns:
        A load status object, which can be used to make assertions about the
        status of a checkpoint restoration. See tf.train.Checkpoint.restore()
        for more details.
      """
      return self.restore(save_path, options)
  
imports: import atexit
  import copy
  import queue
  import threading
  import time
  import weakref
  from absl import logging
  from tensorflow.python.checkpoint import checkpoint_context
  from tensorflow.python.checkpoint import trackable_view
  from tensorflow.python.distribute import device_util
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import executor
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import variables
  from tensorflow.python.saved_model.pywrap_saved_model import metrics
  from tensorflow.python.trackable import base
  from tensorflow.python.util import object_identity
label_desc: Use image node_id 13 for calling the AsyncCheckpointHelper obj's underlying member method code with example usage: obj.read(save_path, options) and returns: self