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tf.compat.v1.train.update_checkpoint_state

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
)

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.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/train/update_checkpoint_state