class_docstr: Helper class for async checkpoint.
docstr: Save the checkpointed variables.
  
  Args:
    save_path: The file prefix of the checkpoint file.
    options: Optional CheckpointOption instance.
  
  Returns:
    The full path of the checkpoint file.
docstr_tok: ["Save","the","checkpointed","variables",".","Args",":","save_path",":","The","file","prefix","of","the","checkpoint","file",".","options",":","Optional","CheckpointOption","instance",".","Returns",":","The","full","path","of","the","checkpoint","file","."]
code: def write(self, save_path, options=None):
      """Save the checkpointed variables.
  
      Args:
        save_path: The file prefix of the checkpoint file.
        options: Optional CheckpointOption instance.
  
      Returns:
        The full path of the checkpoint file.
      """
      return self._write(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 10 for calling the AsyncCheckpointHelper obj's underlying member method code with example usage: obj.write(save_path, options) and returns: self