{"(*UnsupportedTypeError).Error", Method, 0},
		{"(*UnsupportedValueError).Error", Method, 0},
		{"(Delim).String", Method, 5},
		{"(Number).Float64", Method, 1},
		{"(Number).Int64", Method, 1},
		{"(Number).String", Method, 1},
		{"(RawMessage).MarshalJSON", Method, 8},
		{"Compact", Func, 0},
		{"Decoder", Type, 0},
		{"Delim", Type, 5},
		{"Encoder", Type, 0},
		{"HTMLEscape", Func, 0},
		{"Indent", Func, 0},

	typ := &b.Func.Config.Types
	// match: (PtrIndex <t> ptr idx)
	// cond: config.PtrSize == 4 && is32Bit(t.Elem().Size())
	// result: (AddPtr ptr (Mul32 <typ.Int> idx (Const32 <typ.Int> [int32(t.Elem().Size())])))
	for {
		t := v.Type
		ptr := v_0
		idx := v_1
		if !(config.PtrSize == 4 && is32Bit(t.Elem().Size())) {
			break
		}
		v.reset(OpAddPtr)
		v0 := b.NewValue0(v.Pos, OpMul32, typ.Int)

		paths.Insert(collectResourcePaths(t, skipRecurseList, tp.Elem(), path).List()...)
	case reflect.Struct:
		for i := 0; i < tp.NumField(); i++ {
			field := tp.Field(i)
			paths.Insert(collectResourcePaths(t, skipRecurseList, field.Type, path.Child(field.Name)).List()...)
		}
	case reflect.Map, reflect.Slice:
		paths.Insert(collectResourcePaths(t, skipRecurseList, tp.Elem(), path.Key("*")).List()...)
	case reflect.Interface:

	v_0 := v.Args[0]
	b := v.Block
	typ := &b.Func.Config.Types
	// match: (LocalAddr <t> {sym} base mem)
	// cond: t.Elem().HasPointers()
	// result: (MOVDaddr {sym} (SPanchored base mem))
	for {
		t := v.Type
		sym := auxToSym(v.Aux)
		base := v_0
		mem := v_1
		if !(t.Elem().HasPointers()) {
			break
		}
		v.reset(OpARM64MOVDaddr)
		v.Aux = symToAux(sym)

	v_0 := v.Args[0]
	b := v.Block
	typ := &b.Func.Config.Types
	// match: (LocalAddr <t> {sym} base mem)
	// cond: t.Elem().HasPointers()
	// result: (LEAQ {sym} (SPanchored base mem))
	for {
		t := v.Type
		sym := auxToSym(v.Aux)
		base := v_0
		mem := v_1
		if !(t.Elem().HasPointers()) {
			break
		}
		v.reset(OpAMD64LEAQ)
		v.Aux = symToAux(sym)

    Arg<TF_Tensor, [{The tensor to be pushed onto the stack.}]>:$elem,

    DefaultValuedOptionalAttr<BoolAttr, "false">:$swap_memory
  );

  let results = (outs
    Res<TF_Tensor, [{The same tensor as the input 'elem'.}]>:$output
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<1>;
}

*   Added graph-construction C API
*   Major revision to the graph-construction C++ API
*   Support makefile build for iOS
*   Added Mac GPU support
*   Full version of TF-Slim available as `tf.contrib.slim`
*   Added k-Means clustering and WALS matrix factorization

## Bug Fixes and Other Changes

*   Allow gradient computation for scalar values.
*   Performance improvements for gRPC

10E7F         ; disallowed                             # NA   <reserved-10E7F>
10E80..10EA9  ; valid                                  # 13.0 YEZIDI LETTER ELIF..YEZIDI LETTER ET
10EAA         ; disallowed                             # NA   <reserved-10EAA>
10EAB..10EAC  ; valid                                  # 13.0 YEZIDI COMBINING HAMZA MARK..YEZIDI COMBINING MADDA MARK