Updates the content of the 'checkpoint' file. (deprecated)
tf.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 | |
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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.contrib.checkpoint.CheckpointManager for an implementation). |
Raises | |
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RuntimeError | If any of the model checkpoint paths conflict with the file containing CheckpointSate. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/train/update_checkpoint_state