tf.compat.v1.train.generate_checkpoint_state_proto

Generates a checkpoint state proto.

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

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.
`all_model_checkpoint_timestamps`	A list of floats, indicating the number of seconds since the Epoch when each checkpoint was generated.
`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).

Returns
CheckpointState proto with model_checkpoint_path and all_model_checkpoint_paths updated to either absolute paths or relative paths to the current save_dir.

Raises
`ValueError`	If `all_model_checkpoint_timestamps` was provided but its length does not match `all_model_checkpoint_paths`.

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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/generate_checkpoint_state_proto