namespace tensorflow {
Status ReportClusteringInfoPass::Run(
    const GraphOptimizationPassOptions& options) {
  XlaAutoClusteringActivity activity;
  *activity.mutable_summary() = GetXlaAutoClusteringSummary(**options.graph);
  activity.set_global_jit_level(GetGlobalJitLevelForGraph(options));
  activity.set_cpu_global_jit_enabled(
      GetMarkForCompilationPassFlags()->tf_xla_cpu_global_jit);

// not the data itself.
bool IsShapeConsumerOp(const Node& node);

// Computes a clustering summary for `graph`.  See documentation on
// `XlaAutoClusteringSummary` for details.
XlaAutoClusteringSummary GetXlaAutoClusteringSummary(const Graph& graph);

// Returns the set of nodes that have a path to or from nodes that may have ref
// variables as input or output.
//

  result->set_size(info.size);
  HistogramMapToRepeatedOpAndCount(result->mutable_op_histogram(),
                                   info.op_histogram);
}
}  // namespace

XlaAutoClusteringSummary GetXlaAutoClusteringSummary(const Graph& graph) {
  absl::flat_hash_map<absl::string_view, ClusterInfo> cluster_name_to_info;
  XlaAutoClusteringSummary result;

  absl::flat_hash_map<absl::string_view, int> unclustered_op_histogram;

}

void MarkForCompilationPassImpl::VLogClusteringSummary() {
  if (!VLOG_IS_ON(2)) {
    return;
  }

  XlaAutoClusteringSummary auto_clustering_info =
      GetXlaAutoClusteringSummary(*graph_);

  VLOG(2) << "*** Clustering info for graph of size " << graph_->num_nodes();
  VLOG(2) << " Built " << auto_clustering_info.clusters_size()
          << " clusters, size "