public void expired() {
        try {
            final SearchEngineClient client = ComponentUtil.getSearchEngineClient();
            final NodesStatsResponse response = client.admin().cluster().prepareNodesStats().addMetric("os").execute().actionGet(10000L);

            short maxCpu = 0;
            for (final NodeStats nodeStats : response.getNodes()) {
                final OsStats os = nodeStats.getOs();

        in eager mode.
    *   Callbacks are supported in `MultiWorkerMirroredStrategy`.
    *   Disable `run_eagerly` and distribution strategy if there are symbolic
        tensors added to the model using `add_metric` or `add_loss`.
    *   Loss and gradients should now more reliably be correctly scaled w.r.t.
        the global batch size when using a `tf.distribute.Strategy`.