tf.train.get_checkpoint_state(checkpoint_dir, latest_filename=None)

tf.train.get_checkpoint_state(checkpoint_dir, latest_filename=None)

See the guide: Variables > Saving and Restoring Variables

Returns CheckpointState proto from the "checkpoint" file.

If the "checkpoint" file contains a valid CheckpointState proto, returns it.

Args:

  • checkpoint_dir: The directory of checkpoints.
  • latest_filename: Optional name of the checkpoint file. Default to 'checkpoint'.

Returns:

A CheckpointState if the state was available, None otherwise.

Raises:

  • ValueError: if the checkpoint read doesn't have model_checkpoint_path set.

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