tf.train.update_checkpoint_state( save_dir, model_checkpoint_path, all_model_checkpoint_paths=None, latest_filename=None )
See the guide: Variables > Saving and Restoring Variables
Updates the content of the 'checkpoint' file.
This updates the checkpoint file containing a CheckpointState proto.
save_dir: Directory where the model was saved.
model_checkpoint_path: The checkpoint file.
all_model_checkpoint_paths: List of strings. Paths to all not-yet-deleted checkpoints, sorted from oldest to newest. If this is a non-empty list, the last element must be equal to model_checkpoint_path. These paths are also saved in the CheckpointState proto.
latest_filename: Optional name of the checkpoint file. Default to 'checkpoint'.
RuntimeError: If any of the model checkpoint paths conflict with the file containing CheckpointSate.