parameters: (save_dir,
                                      model_checkpoint_path,
                                      all_model_checkpoint_paths=None,
                                      all_model_checkpoint_timestamps=None,
                                      last_preserved_timestamp=None)
return_statement: return coord_checkpoint_proto
docstring: 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.
      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.contrib.checkpoint.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`.
docstring_summary: Generates a checkpoint state proto.
docstring_tokens: Generates a checkpoint state proto .
function: def generate_checkpoint_state_proto(save_dir,
                                      model_checkpoint_path,
                                      all_model_checkpoint_paths=None,
                                      all_model_checkpoint_timestamps=None,
                                      last_preserved_timestamp=None):
    """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.
      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.contrib.checkpoint.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`.
    """
    if all_model_checkpoint_paths is None:
      all_model_checkpoint_paths = []
  
    if (not all_model_checkpoint_paths or
        all_model_checkpoint_paths[-1] != model_checkpoint_path):
      logging.info("%s is not in all_model_checkpoint_paths. Manually adding it.",
                   model_checkpoint_path)
      all_model_checkpoint_paths.append(model_checkpoint_path)
  
    if (all_model_checkpoint_timestamps
        and (len(all_model_checkpoint_timestamps)
             != len(all_model_checkpoint_paths))):
      raise ValueError(
          ("Checkpoint timestamps, if provided, must match checkpoint paths (got "
           "paths %s and timestamps %s)")
          % (all_model_checkpoint_paths, all_model_checkpoint_timestamps))
  
    # Relative paths need to be rewritten to be relative to the "save_dir"
    # if model_checkpoint_path already contains "save_dir".
    if not os.path.isabs(save_dir):
      if not os.path.isabs(model_checkpoint_path):
        model_checkpoint_path = os.path.relpath(model_checkpoint_path, save_dir)
      for i, p in enumerate(all_model_checkpoint_paths):
        if not os.path.isabs(p):
          all_model_checkpoint_paths[i] = os.path.relpath(p, save_dir)
  
    coord_checkpoint_proto = CheckpointState(
        model_checkpoint_path=model_checkpoint_path,
        all_model_checkpoint_paths=all_model_checkpoint_paths,
        all_model_checkpoint_timestamps=all_model_checkpoint_timestamps,
        last_preserved_timestamp=last_preserved_timestamp)
  
    return coord_checkpoint_proto
function_tokens: def generate_checkpoint_state_proto ( save_dir , model_checkpoint_path , all_model_checkpoint_paths = None , all_model_checkpoint_timestamps = None , last_preserved_timestamp = None ) : if all_model_checkpoint_paths is None : all_model_checkpoint_paths = [ ] if ( not all_model_checkpoint_paths or all_model_checkpoint_paths [ - 1 ] != model_checkpoint_path ) : logging . info ( "%s is not in all_model_checkpoint_paths. Manually adding it." , model_checkpoint_path ) all_model_checkpoint_paths . append ( model_checkpoint_path ) if ( all_model_checkpoint_timestamps and ( len ( all_model_checkpoint_timestamps ) != len ( all_model_checkpoint_paths ) ) ) : raise ValueError ( ( "Checkpoint timestamps, if provided, must match checkpoint paths (got " "paths %s and timestamps %s)" ) % ( all_model_checkpoint_paths , all_model_checkpoint_timestamps ) ) # Relative paths need to be rewritten to be relative to the "save_dir" # if model_checkpoint_path already contains "save_dir". if not os . path . isabs ( save_dir ) : if not os . path . isabs ( model_checkpoint_path ) : model_checkpoint_path = os . path . relpath ( model_checkpoint_path , save_dir ) for i , p in enumerate ( all_model_checkpoint_paths ) : if not os . path . isabs ( p ) : all_model_checkpoint_paths [ i ] = os . path . relpath ( p , save_dir ) coord_checkpoint_proto = CheckpointState ( model_checkpoint_path = model_checkpoint_path , all_model_checkpoint_paths = all_model_checkpoint_paths , all_model_checkpoint_timestamps = all_model_checkpoint_timestamps , last_preserved_timestamp = last_preserved_timestamp ) return coord_checkpoint_proto