node_def->mutable_attr()));

  return node_def;
}

absl::StatusOr<std::unique_ptr<NodeDef>> Exporter::GetReturnNode(
    FuncOp function, Value operand, unsigned index, llvm::StringRef name) {
  auto node_def = std::make_unique<NodeDef>();
  if (!name.empty())
    node_def->set_name(std::string(ParseTensorName(name.str()).node()));
  else

      const ::tensorflow::NodeDef& node_def, const mlir::Location& loc);

  std::optional<CustomOptionsOffset> CreateCustomOpCustomOptions(
      const ::tensorflow::NodeDef& node_def, const mlir::Location& loc);

  std::unique_ptr<flexbuffers::Builder> CreateFlexBuilderWithNodeAttrs(
      const ::tensorflow::NodeDef& node_def, const mlir::Location& loc);

		strings.Repeat("A", 127),
	}

	recorder := record.NewFakeRecorder(20)
	nodeRef := &v1.ObjectReference{
		Kind:      "Node",
		Name:      string("testNode"),
		UID:       types.UID("testNode"),
		Namespace: "",
	}
	testClusterDNSDomain := "TEST"

	configurer := NewConfigurer(recorder, nodeRef, nil, nil, testClusterDNSDomain, "")

	pod := &v1.Pod{
		ObjectMeta: metav1.ObjectMeta{

	im := &realImageGCManager{
		runtime:       runtime,
		policy:        policy,
		imageRecords:  make(map[string]*imageRecord),
		statsProvider: statsProvider,
		recorder:      recorder,
		nodeRef:       nodeRef,
		tracer:        tracer,
	}

	return im, nil
}

func (im *realImageGCManager) Start() {
	ctx := context.Background()
	go wait.Until(func() {
		_, err := im.detectImages(ctx, time.Now())

#include "tensorflow/compiler/mlir/tensorflow/translate/mlir_roundtrip_flags.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/graph/graph.h"

namespace tensorflow {
namespace tf2xla {
namespace v2 {

// Given an MLIR module, returns a GraphDef.

#include "tensorflow/compiler/mlir/tensorflow/translate/mlir_roundtrip_flags.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/graph/graph.h"

namespace tensorflow {

ABSL_DEPRECATED("Use tensorflow::tf2xla::api::ConvertMlirToGraphdef instead.")
// Given an MLIR module, returns a GraphDef.

		Logger:                          logger,
		ProbeManager:                    kubelet.probeManager,
		Recorder:                        fakeRecorder,
		NodeRef:                         nodeRef,
		GetPodsFunc:                     kubelet.podManager.GetPods,
		KillPodFunc:                     killPodNow(kubelet.podWorkers, fakeRecorder),
		SyncNodeStatusFunc:              func() {},
		ShutdownGracePeriodRequested:    0,

		cloud:                          kubeDeps.Cloud,
		externalCloudProvider:          cloudprovider.IsExternal(cloudProvider),
		providerID:                     providerID,
		nodeRef:                        nodeRef,
		nodeLabels:                     nodeLabels,
		nodeStatusUpdateFrequency:      kubeCfg.NodeStatusUpdateFrequency.Duration,
		nodeStatusReportFrequency:      kubeCfg.NodeStatusReportFrequency.Duration,

	kl.recorder.Eventf(kl.nodeRef, eventType, event, "Node %s status is now: %s", kl.nodeName, event)
}

// recordEvent records an event for this node, the Kubelet's nodeRef is passed to the recorder
func (kl *Kubelet) recordEvent(eventType, event, message string) {
	kl.recorder.Eventf(kl.nodeRef, eventType, event, message)
}

// record if node schedulable change.

// kubeadm init and join commands
func addCommonChecks(execer utilsexec.Interface, k8sVersion string, nodeReg *kubeadmapi.NodeRegistrationOptions, checks []Checker) []Checker {
	containerRuntime := utilruntime.NewContainerRuntime(nodeReg.CRISocket)
	if err := containerRuntime.Connect(); err != nil {