default:
			p.errorf("bad int size for DATA argument: %d", sz)
		}
	case obj.TYPE_FCONST:
		switch sz {
		case 4:
			nameAddr.Sym.WriteFloat32(p.ctxt, nameAddr.Offset, float32(valueAddr.Val.(float64)))
		case 8:
			nameAddr.Sym.WriteFloat64(p.ctxt, nameAddr.Offset, valueAddr.Val.(float64))
		default:
			p.errorf("bad float size for DATA argument: %d", sz)
		}
	case obj.TYPE_SCONST:

  ASSERT_EQ(TF_OK, TF_GetCode(s.get())) << TF_Message(s.get());
  ASSERT_NE(*func, nullptr);
}

REGISTER_OP("CustomOp")
    .Output("output: float32")
    .Attr("index: int")
    .SetShapeFn(tensorflow::shape_inference::UnknownShape);

void NodeWithPlaceholderAttrHelper(TF_Graph* graph, TF_Status* s,

pkg math, func Erfc(float64) float64
pkg math, func Exp(float64) float64
pkg math, func Exp2(float64) float64
pkg math, func Expm1(float64) float64
pkg math, func Float32bits(float32) uint32
pkg math, func Float32frombits(uint32) float32
pkg math, func Float64bits(float64) uint64
pkg math, func Float64frombits(uint64) float64
pkg math, func Floor(float64) float64
pkg math, func Frexp(float64) (float64, int)

pkg reflect, const Array = 17
pkg reflect, const Bool = 1
pkg reflect, const BothDir = 3
pkg reflect, const Chan = 18
pkg reflect, const Complex128 = 16
pkg reflect, const Complex64 = 15
pkg reflect, const Float32 = 13
pkg reflect, const Float64 = 14
pkg reflect, const Func = 19
pkg reflect, const Int = 2
pkg reflect, const Int16 = 4
pkg reflect, const Int32 = 5
pkg reflect, const Int64 = 6