class_docstr: Indicates a position within a `_CheckpointRestoreCoordinator`.
class_docstr_tok: ["Indicates","a","position","within","a","`","_CheckpointRestoreCoordinator","`","."]
docstr: Restore this value into `trackable`.
docstr_tok: ["Restore","this","value","into","`","trackable","`","."]
code: def restore(self, trackable, reader=None):
      """Restore this value into `trackable`."""
      with ops.init_scope():
          if self.bind_object(trackable):
              # This object's correspondence with a checkpointed object is new, so
              # process deferred restorations for it and its dependencies.
              restore_ops = self._restore_descendants(reader)
              if restore_ops:
                  self._checkpoint.new_restore_ops(restore_ops)
  
imports: import collections
  from tensorflow.python.checkpoint import checkpoint_view
  from tensorflow.python.checkpoint import functional_saver
  from tensorflow.python.checkpoint import save_util_v1
  from tensorflow.python.checkpoint import saveable_compat
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_io_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import registration
  from tensorflow.python.trackable import base
  from tensorflow.python.trackable import constants
  from tensorflow.python.trackable import python_state
  from tensorflow.python.trackable import trackable_utils
  from tensorflow.python.training.saving import saveable_object_util
  from tensorflow.python.util import object_identity
label_desc: Use image node_id 2 for calling the CheckpointPosition obj's underlying member method code with example usage: obj.restore(trackable, reader) without return types