DumpGraphToFile("extract_outside_compilation_before", *g, fld);
  }

  *modified = false;
  auto node_name_index = g->BuildNodeNameIndex();
  for (auto& iter : clusters) {
    string xla_cluster_name = iter.first;
    Node* n = iter.second.node;
    auto const& func_name_attrs = iter.second.func_name_attrs;
    auto const& host_compute_core = iter.second.host_compute_core;

    std::vector<string> shape_inference_graphs;

.py-5{padding-top:3rem!important}.pr-5,.px-5{padding-right:3rem!important}.pb-5,.py-5{padding-bottom:3rem!important}.pl-5,.px-5{padding-left:3rem!important}.m-auto{margin:auto!important}.mt-auto,.my-auto{margin-top:auto!important}.mr-auto,.mx-auto{margin-right:auto!important}.mb-auto,.my-auto{margin-bottom:auto!important}.ml-auto,.mx-auto{margin-left:auto!important}@media (min-width:576px){.m-sm-0{margin:0!important}.mt-sm-0,.my-sm-0{margin-top:0!important}.mr-sm-0,.mx-sm-0{margin-right:0!import...

margin-top:-3rem!important}.mr-n5,.mx-n5{margin-right:-3rem!important}.mb-n5,.my-n5{margin-bottom:-3rem!important}.ml-n5,.mx-n5{margin-left:-3rem!important}.m-auto{margin:auto!important}.mt-auto,.my-auto{margin-top:auto!important}.mr-auto,.mx-auto{margin-right:auto!important}.mb-auto,.my-auto{margin-bottom:auto!important}.ml-auto,.mx-auto{margin-left:auto!important}@media (min-width:576px){.m-sm-0{margin:0!important}.mt-sm-0,.my-sm-0{margin-top:0!important}.mr-sm-0,.mx-sm-0{margin-right:0!import...

margin-top:-3rem!important}.mr-n5,.mx-n5{margin-right:-3rem!important}.mb-n5,.my-n5{margin-bottom:-3rem!important}.ml-n5,.mx-n5{margin-left:-3rem!important}.m-auto{margin:auto!important}.mt-auto,.my-auto{margin-top:auto!important}.mr-auto,.mx-auto{margin-right:auto!important}.mb-auto,.my-auto{margin-bottom:auto!important}.ml-auto,.mx-auto{margin-left:auto!important}@media (min-width:576px){.m-sm-0{margin:0!important}.mt-sm-0,.my-sm-0{margin-top:0!important}.mr-sm-0,.mx-sm-0{margin-right:0!import...

lor":"red","value":80}]},"unit":"ops"},"overrides":[]},"gridPos":{"h":3,"w":6,"x":0,"y":3},"id":20,"links":[],"maxDataPoints":100,"options":{"colorMode":"none","graphMode":"area","justifyMode":"auto","orientation":"horizontal","reduceOptions":{"calcs":["mean"],"fields":"","values":false},"textMode":"auto"},"pluginVersion":"10.1.5","targets":[{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"round(sum(irate(istio_requests_total{reporter=\"source\"}[1m])), 0.001)","intervalFactor":...

    CHECK_LT(output.index, ic->num_outputs());  // Crash OK
    const auto* shapes_and_types =
        ic->output_handle_shapes_and_types(output.index);
    if (shapes_and_types == nullptr) return nullptr;

    for (const auto& p : *shapes_and_types) {
      auto* out_shape_and_type = handle_data.add_shape_and_type();
      ic->ShapeHandleToProto(p.shape, out_shape_and_type->mutable_shape());

      "options": {
        "colorMode": "none",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "horizontal",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "textMode": "auto"
      },
      "pluginVersion": "10.1.5",
      "targets": [
        {

      "options": {
        "colorMode": "none",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "horizontal",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "textMode": "auto"
      },
      "pluginVersion": "10.1.5",
      "targets": [
        {

      "/job:localhost/replica:0/task:0/cpu:0");
  auto x1 = ops::Placeholder(root.WithOpName("x1"), DT_FLOAT);
  auto x2 = ops::Placeholder(root.WithOpName("x2"), DT_FLOAT);
  auto const_guarantee_x2 =
      ops::GuaranteeConst(root.WithOpName("const_guarantee_x2"), x2);
  auto const_guarantee_x1 =
      ops::GuaranteeConst(root.WithOpName("const_guarantee_x1"), x1);
  auto add1 =

        %5:2 = "tf.C"(%3) {_xla_outside_compilation = "auto"} : (tensor<2xi32>) -> (tensor<2xi32>, tensor<2xi32>)
        %6 = "tf.D"(%5#0) : (tensor<2xi32>) -> (tensor<2xi32>)
        %7 = "tf.E"(%4) {_xla_outside_compilation = "auto"} : (tensor<?xi32>) -> (tensor<?xi32>)
        %8 = "tf.F"(%5#1) {_xla_outside_compilation = "auto"} : (tensor<2xi32>) -> (tensor<2xi32>)