be8e63d4774207a94fa7d26f9f9e1f7f55f9e664,python/ray/tune/suggest/suggestion.py,Searcher,restore_from_dir,#Searcher#Any#,207

Before Change

        if os.path.exists(checkpoint_path):
            self.restore(checkpoint_path)
        else:
            raise FileNotFoundError(
                "{filename} not found in {directory}. Unable to restore "
                "searcher state from directory.".format(
                    filename=Searcher.CKPT_FILE, directory=checkpoint_dir))

    @property
    def metric(self):
        The training result objective value attribute.

After Change

        pattern = self.CKPT_FILE_TMPL.format("*")
        full_paths = glob.glob(os.path.join(checkpoint_dir, pattern))
        if not full_paths:
            raise RuntimeError(
                "Searcher unable to find checkpoint in {}".format(
                    checkpoint_dir))  // TODO
        most_recent_checkpoint = max(full_paths)
        self.restore(most_recent_checkpoint)

Instances