tf.train.update_checkpoint_state

tf.train.update_checkpoint_state(
    save_dir,
    model_checkpoint_path,
    all_model_checkpoint_paths=None,
    latest_filename=None
)

Defined in tensorflow/python/training/saver.py.

See the guide: Variables > Saving and Restoring Variables

Updates the content of the 'checkpoint' file.

This updates the checkpoint file containing a CheckpointState proto.

Args:

• 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'.

Raises:

• RuntimeError: If any of the model checkpoint paths conflict with the file containing CheckpointSate.