return C_TEXTSIZE

	case obj.TYPE_FCONST:
		// The only cases where FCONST will occur are with float64 +/- 0.
		// All other float constants are generated in memory.
		f64 := a.Val.(float64)
		if f64 == 0 {
			if math.Signbit(f64) {
				return C_S16CON
			}
			return C_ZCON
		}
		log.Fatalf("Unexpected nonzero FCONST operand %v", a)

	case obj.TYPE_CONST,
		obj.TYPE_ADDR:
		switch a.Name {

				return C_SOREG
			}
			return C_LOREG
		}

		return C_GOK

	case obj.TYPE_TEXTSIZE:
		return C_TEXTSIZE

	case obj.TYPE_FCONST:
		if f64, ok := a.Val.(float64); ok && math.Float64bits(f64) == 0 {
			return C_ZCON
		}
		c.ctxt.Diag("cannot handle the floating point constant %v", a.Val)

	case obj.TYPE_CONST,
		obj.TYPE_ADDR:
		switch a.Name {
		case obj.NAME_NONE:

        mlir::cast<mlir::TensorType>(input_type).getElementType();
    RankedTensorType type = tensorflow::GetTypeFromTFTensorShape(
        {static_cast<int64_t>(shape.size())}, element_type);
    // Input could only be i32 or i64. For i32, downcast to int32_t array.
    if (element_type.isInteger(32)) {
      SmallVector<int32_t, 4> i32_shape;
      for (auto s : shape) i32_shape.push_back(static_cast<int32_t>(s));