"tf_saved_model.session_initializer"() {initializers = [@init_func1, @init_func2]} : () -> ()

      func.func @init_func1() attributes {tf_saved_model.exported_names = ["init_func1"], tf_saved_model.initializer_type = "init_op"} {
        func.return
      }

      func.func @init_func2() attributes {tf_saved_model.exported_names = ["init_func2"], tf_saved_model.initializer_type = "restore_op"} {
        func.return

)

func newDaemonSetControllerDescriptor() *ControllerDescriptor {
	return &ControllerDescriptor{
		name:     names.DaemonSetController,
		aliases:  []string{"daemonset"},
		initFunc: startDaemonSetController,
	}
}
func startDaemonSetController(ctx context.Context, controllerContext ControllerContext, controllerName string) (controller.Interface, bool, error) {
	dsc, err := daemon.NewDaemonSetsController(

	"cmd/link/internal/loader"
	"cmd/link/internal/sym"
	"debug/elf"
	"log"
)

func gentext(ctxt *ld.Link, ldr *loader.Loader) {
	initfunc, addmoduledata := ld.PrepareAddmoduledata(ctxt)
	if initfunc == nil {
		return
	}

	o := func(op uint32) {
		initfunc.AddUint32(ctxt.Arch, op)
	}

	// Emit the following function:
	//
	//	local.dso_init:
	//		la.pcrel $a0, local.moduledata

# CHECK-SAME: producer

# CHECK: "tf_saved_model.global_tensor"()
# CHECK: "tf_saved_model.session_initializer"() <{initializers = [@[[INIT_FUNC:[a-zA-Z_0-9]+]]]}> : () -> ()

# Initializer function. This should contain the initialization sequence for the
# variable.
# CHECK: func @[[INIT_FUNC]](%[[ARG_0:.*]]: tensor<!tf_type.resource<tensor<1x3xf32>>> {tf_saved_model.bound_input = @y}) attributes {

)

func newBootstrapSignerControllerDescriptor() *ControllerDescriptor {
	return &ControllerDescriptor{
		name:                names.BootstrapSignerController,
		aliases:             []string{"bootstrapsigner"},
		initFunc:            startBootstrapSignerController,
		isDisabledByDefault: true,
	}
}

)

func newEndpointSliceControllerDescriptor() *ControllerDescriptor {
	return &ControllerDescriptor{
		name:     names.EndpointSliceController,
		aliases:  []string{"endpointslice"},
		initFunc: startEndpointSliceController,
	}
}

func startEndpointSliceController(ctx context.Context, controllerContext ControllerContext, controllerName string) (controller.Interface, bool, error) {

	"k8s.io/kubernetes/pkg/controller/job"
)

func newJobControllerDescriptor() *ControllerDescriptor {
	return &ControllerDescriptor{
		name:     names.JobController,
		aliases:  []string{"job"},
		initFunc: startJobController,
	}
}

func startJobController(ctx context.Context, controllerContext ControllerContext, controllerName string) (controller.Interface, bool, error) {
	jobController, err := job.NewController(
		ctx,

	initfunc := ctxt.loader.MakeSymbolUpdater(ifs)
	ctxt.loader.SetAttrReachable(ifs, true)
	ctxt.loader.SetAttrLocal(ifs, true)
	initfunc.SetType(sym.STEXT)

	// Add the init func and/or addmoduledata to Textp.
	if ctxt.BuildMode == BuildModePlugin {
		ctxt.Textp = append(ctxt.Textp, amd)
	}
	ctxt.Textp = append(ctxt.Textp, initfunc.Sym())

	// Create an init array entry

)

func newClusterRoleAggregrationControllerDescriptor() *ControllerDescriptor {
	return &ControllerDescriptor{
		name:     names.ClusterRoleAggregationController,
		aliases:  []string{"clusterrole-aggregation"},
		initFunc: startClusterRoleAggregationController,
	}
}

func startClusterRoleAggregationController(ctx context.Context, controllerContext ControllerContext, controllerName string) (controller.Interface, bool, error) {

          llvm::StringRef(tensorflow::kImportModelDefaultGraphFuncName) ||
      func.getSymName() == kTfQuantSaveFuncName) {
    return true;
  }

  for (func::FuncOp init_func :
       tf_saved_model::GetInitializerFunctions(module)) {
    if (func.getSymName() == init_func.getSymName()) {
      return true;
    }
  }
  return false;
}

// Checks if the function is only used by supported ops. Returns false when the