ctx, t = trace.NewTask(ctx, "do")
	defer t.End()

	trace.Log(ctx, "log2", "do")

	// Create a region and spawn more tasks and more workers.
	trace.WithRegion(ctx, "fanout", func() {
		for i := 0; i < k; i++ {
			go func(i int) {
				trace.WithRegion(ctx, fmt.Sprintf("region%d", i), func() {
					trace.Logf(ctx, "log", "fanout region%d", i)
					if i == 2 {
						do(ctx, 0)
						return
					}
				})
			}(i)
		}
	})

		})
		var lastTimestamp trace.Time
		var n int
		// Select only the outermost regions.
		for _, i := range intervals {
			if lastTimestamp <= i.start {
				intervals[n] = i // new non-overlapping region starts.
				lastTimestamp = i.end
				n++
			}
			// Otherwise, skip because this region overlaps with a previous region.
		}
		gToIntervals[g] = intervals[:n]
	}
	return gToIntervals, nil
}

						Locality: model.Locality{
							ClusterID: "cluster-1",
							Label:     "region1/zone1/subzone1",
						},
						LbWeight: 30,
						Network:  "filtered-out",
					},
				},
			},
			expected: []*endpoint.LocalityLbEndpoints{
				{
					Locality: &core.Locality{
						Region:  "region1",
						Zone:    "zone1",
						SubZone: "subzone1",
					},

    // collect effects for all ops in the regions instead of collecting effects
    // for the op itself. This is important to avoid conservatism and to find
    // resource variable accesses in regions which are not exposed to the op
    // interface.
    for (Region& region : op->getRegions()) {
      for (Operation& region_op : region.front().without_terminator()) {

}

// Analyze the specified region for resource mutating operations, namely
// TF::AssignVariableOp, if so, set the resource associated as "potentially
// written". Do this recursively across the chain of regions via call or
// control flow ops.
// TODO(ashwinm): Move to iterative traversal.
LogicalResult ResourceAnalyzer::AnalyzeRegion(Region& region) {
  // Avoid infinite recursion.

    "${IP_ALIAS_SUBNETWORK}" --project="${PROJECT}" --region="${REGION}" \
    --format='value(fingerprint)')
  local access_token
  access_token=$(gcloud auth print-access-token)
  local request="{\"allowSubnetCidrRoutesOverlap\":$1, \"fingerprint\":\"${fingerprint}\"}"
  local subnetwork_url
  subnetwork_url="${GCE_API_ENDPOINT}projects/${PROJECT}/regions/${REGION}/subnetworks/${IP_ALIAS_SUBNETWORK}"

  auto walk_result = parent_op->walk([](Operation *op) {
    // Cleanup code in attached regions.
    for (Region &region : op->getRegions()) {
      if (!llvm::hasSingleElement(region)) return WalkResult::interrupt();
      RemovePassthroughOp(region.front());
      RemoveDeadLocalVariables(region.front());
    }

    LogicalResult result = success();

  }

  // Checks if a region only consists of ops that are quantizable in a nested
  // region.
  // tf.CustomAggregator op cannot be inserted into region of a StableHLO op,
  // thus calibration is impossible within a nested region. Therefore, when an
  // op involves a region, the op is only quantizable when the region only
  // consists of ops whose quantization parameters can be propagated from

    // Update the regions. The dialect conversion framework wants new regions to
    // be created and updated, rather than updating the old op. Thus we use an
    // OperationState so we can add regions to the new up.
    OperationState state(op->getLoc(), op->getName().getStringRef(), operands,
                         new_results, op->getAttrs(), op->getSuccessors());
    for (Region &region : op->getRegions()) {

  },
  "layered_runtime": {
      "layers": [
          {