}
	}
	argv := make([]reflect.Value, len(args))
	for i, arg := range args {
		arg = indirectInterface(arg)
		// Compute the expected type. Clumsy because of variadics.
		argType := dddType
		if !typ.IsVariadic() || i < numIn-1 {
			argType = typ.In(i)
		}

		var err error
		if argv[i], err = prepareArg(arg, argType); err != nil {

};

template <class Fn, typename TReturn, class... ArgsOut>
class UneraseCallHelper;

// UneraseCallHelper::Call allows transforming all the incoming arguments
// from a TaggedValue tuple to a variadic list of args.  The class template
// starts as a list of argument types and ends empty. The static member
// template starts empty and ends with the unerased types of the signature.

		if i > 0 {
			s += ", "
		}
		s += t.String()
	}
	s += ")"
	if t.ReturnType != nil {
		s += " " + t.ReturnType.String()
	}
	return s
}

// A DotDotDotType represents the variadic ... function parameter.
type DotDotDotType struct {
	CommonType
}

func (t *DotDotDotType) String() string { return "..." }

// A TypedefType represents a named type.
type TypedefType struct {

      p << " as " << arg << ": " << arg.getType();
    });
    p << ')';
  }

  // Skip derived `operandSegmentSizes` attribute as custom print format of
  // operands holds enough information to calculate these variadic operand list
  // lengths.
  p.printOptionalAttrDict(
      getOperation()->getAttrs(),
      /*elidedAttrs=*/ArrayRef<StringRef>{kOperandSegmentSizesAttr});
  p << ' ';

func.func @invalid_island(%arg0: tensor<*xf32>, %ctl: !tf_executor.control) {
  tf_executor.graph {
    "tf_executor.island"(%arg0) ({
// expected-error@-1 {{'tf_executor.island' op operand #0 must be variadic of control}}
    }) : (tensor<*xf32>) -> (!tf_executor.control)
  }
  func.return
}

// -----

// Check that an island must have at least a control result.

// PackOp
//===----------------------------------------------------------------------===//

LogicalResult PackOp::verify() {
  PackOp op = *this;
  // TODO(hinsu): Convert variadic length attributes to derived attributes.
  Operation::operand_range values = op.getValues();

  if (failed(VerifyTypesCompatibility(values,
                                      /*mask_one_dim=*/false,

    auto in_scales_op =
        scale_factor_op.getInScales().getDefiningOp<BuildListOp>();
    if (!in_scales_op || in_scales_op.getNumOperands() != 2) {
      // BuildListOp is variadic, but we require two values: input_scale
      // and filter_scale.
      return failure();
    }

    auto in_scale_op = in_scales_op.getOperand(0).getDefiningOp<CastOp>();
    if (!in_scale_op) {

	lit.SetImplicit(true)

	n := Expr(lit)
	if n.Type() == nil {
		base.FatalfAt(pos, "mkdotargslice: typecheck failed")
	}
	return n
}

// FixVariadicCall rewrites calls to variadic functions to use an
// explicit ... argument if one is not already present.
func FixVariadicCall(call *ir.CallExpr) {
	fntype := call.Fun.Type()
	if !fntype.IsVariadic() || call.IsDDD {
		return
	}

	{"bug14c", `{{$x := (1.0)}}{{$y := ("hello")}}{{$x.anything}}{{$y.true}}`, "", tVal, false},
	// Didn't call validateType on function results. Issue 10800.
	{"bug15", "{{valueString returnInt}}", "", tVal, false},
	// Variadic function corner cases. Issue 10946.
	{"bug16a", "{{true|printf}}", "", tVal, false},
	{"bug16b", "{{1|printf}}", "", tVal, false},
	{"bug16c", "{{1.1|printf}}", "", tVal, false},

  // any side effect so far, for example, resource values being passed to
  // `tf.While` or `tf.If` ops which are not part of the op definition but
  // appear in a variadic input list.
  add_remaining_effects(filter_resources(op->getOperands()));
  add_remaining_effects(filter_resources(op->getResults()));

  if (!found_any_effect) {