tf.compat.v1.train.update_checkpoint_state

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Updates the content of the 'checkpoint' file. (deprecated)

tf.compat.v1.train.update_checkpoint_state(
    save_dir, model_checkpoint_path, all_model_checkpoint_paths=None,
    latest_filename=None, all_model_checkpoint_timestamps=None,
    last_preserved_timestamp=None
)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.train.CheckpointManager to manage checkpoints rather than manually editing the Checkpoint proto.

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'.
• all_model_checkpoint_timestamps: Optional list of timestamps (floats, seconds since the Epoch) indicating when the checkpoints in all_model_checkpoint_paths were created.
• last_preserved_timestamp: A float, indicating the number of seconds since the Epoch when the last preserved checkpoint was written, e.g. due to a keep_checkpoint_every_n_hours parameter (see tf.train.CheckpointManager for an implementation).

Raises:

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