llvm::StringRef name;
    mlir::func::FuncOp func;
  };
  llvm::SmallVector<NamedFunc, 8> named_funcs;
  llvm::SmallVector<mlir::func::FuncOp, 8> private_funcs;
  for (auto func : module.getOps<mlir::func::FuncOp>()) {
    auto exported_names = mlir::tf_saved_model::GetExportedNames(func);
    if (!exported_names.empty())
      named_funcs.push_back({exported_names.front(), func});
    else

	return early
}

// readsMemory reports whether the evaluation n directly reads from
// memory that might be written to indirectly.
func readsMemory(n ir.Node) bool {
	switch n.Op() {
	case ir.ONAME:
		n := n.(*ir.Name)
		if n.Class == ir.PFUNC {
			return false
		}
		return n.Addrtaken() || !n.OnStack()

	case ir.OADD,
		ir.OAND,
		ir.OANDAND,
		ir.OANDNOT,
		ir.OBITNOT,

  status->status = MessageToBuffer(*run_metadata, buf);
}

namespace {
TFE_Op* GetFunc(TFE_Context* ctx, const tensorflow::NameAttrList& func,
                TF_Status* status) {
  TFE_Op* func_op = TFE_NewOp(ctx, func.name().data(), status);
  for (const auto& attr : func.attr()) {
    if (!status->status.ok()) return nullptr;
    SetOpAttrValueScalar(ctx, func_op, attr.second, attr.first.data(), status);

}

func (t *rtype) NumIn() int {
	if t.Kind() != Func {
		panic("reflect: NumIn of non-func type " + t.String())
	}
	tt := (*abi.FuncType)(unsafe.Pointer(t))
	return tt.NumIn()
}

func (t *rtype) NumOut() int {
	if t.Kind() != Func {
		panic("reflect: NumOut of non-func type " + t.String())
	}
	tt := (*abi.FuncType)(unsafe.Pointer(t))
	return tt.NumOut()
}

func (t *rtype) Out(i int) Type {

//
// heading and test.variant must be non-empty.
func (t *tester) registerTest(heading string, test *goTest, opts ...registerTestOpt) {
	var skipFunc func(*distTest) (string, bool)
	for _, opt := range opts {
		switch opt := opt.(type) {
		case rtSkipFunc:
			skipFunc = opt.skip
		}
	}
	// Register each test package as a separate test.
	register1 := func(test *goTest) {
		if test.variant == "" {

//go:noinline
func Load8(ptr *uint8) uint8 {
	return *ptr
}

//go:noescape
func And8(ptr *uint8, val uint8)

//go:noescape
func Or8(ptr *uint8, val uint8)

//go:noescape
func And(ptr *uint32, val uint32)

//go:noescape
func Or(ptr *uint32, val uint32)

//go:noescape
func And32(ptr *uint32, val uint32) uint32

//go:noescape
func Or32(ptr *uint32, val uint32) uint32

//go:noescape

  func.return %0 : tensor<4xcomplex<f64>>
}

func.func @f16() -> tensor<4xf16> {
  // CHECK-LABEL: @f16
  // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf16>
  %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf16> } : () -> tensor<4xf16>
  func.return %0 : tensor<4xf16>
}

func.func @f32() -> tensor<4xf32> {
  // CHECK-LABEL: @f32

func badlinkname_rtype_AssignableTo(*rtype, Type) bool

//go:linkname badlinkname_rtype_Bits reflect.(*rtype).Bits
func badlinkname_rtype_Bits(*rtype) int

//go:linkname badlinkname_rtype_ChanDir reflect.(*rtype).ChanDir
func badlinkname_rtype_ChanDir(*rtype) ChanDir

//go:linkname badlinkname_rtype_Comparable reflect.(*rtype).Comparable
func badlinkname_rtype_Comparable(*rtype) bool

	exithook.Add(exithook.Hook{F: f1})
	exithook.Add(exithook.Hook{F: f2})
	// no explicit call to os.Exit
}

func testGoodExit() {
	f1 := func() { println("apple") }
	f2 := func() { println("orange") }
	exithook.Add(exithook.Hook{F: f1})
	exithook.Add(exithook.Hook{F: f2})
	// explicit call to os.Exit
	os.Exit(0)
}

func testBadExit() {
	f1 := func() { println("blog") }
	f2 := func() { println("blix") }

    tf_executor.fetch %1#0 : tensor<?xi32>
  }
  func.return %0 : tensor<?xi32>
}

// CHECK: func private @[[CLUSTER]]
// CHECK-SAME: () -> tensor<?xi32>
// CHECK: %[[A_OUTPUT:[0-9]*]] = "tf.A"()
// CHECK: return %[[A_OUTPUT]]

// -----

// Tests cluster attributes are copied over to cluster_func.

// CHECK-LABEL: func @cluster_attrs
func.func @cluster_attrs() -> tensor<?xi32> {