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tf.train.generate_checkpoint_state_proto

tf.train.generate_checkpoint_state_proto(
    save_dir,
    model_checkpoint_path,
    all_model_checkpoint_paths=None
)

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

Generates a checkpoint state 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.

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.

© 2018 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/api_docs/python/tf/train/generate_checkpoint_state_proto