}

    auto newResults = rewriter
                          .create<SrcOp>(loc, newResultTys, newOperands,
                                         op->getAttrDictionary().getValue())
                          .getOperation()
                          ->getResults();

    SmallVector<Value> replaceResults;
    for (int i = 0; i < newResults.size(); i++) {
      Value result = newResults[i];

		t.SetHasShape(true)
	}
	return t
}

func newResults(types []*Type) *Type {
	t := newType(TRESULTS)
	t.extra.(*Results).Types = types
	return t
}

func NewResults(types []*Type) *Type {
	if len(types) == 1 && types[0] == TypeMem {
		return TypeResultMem
	}
	return newResults(types)
}

func newSSA(name string) *Type {
	t := newType(TSSA)
	t.extra = name

		// Break aggregate args passed to call into smaller pieces.
		x.rewriteCallArgs(v, argStart)
		v.Op = newOp
		rts := abi.RegisterTypes(v.Aux.(*AuxCall).abiInfo.OutParams())
		v.Type = types.NewResults(append(rts, types.TypeMem))
	}

	// Rewrite calls
	for _, v := range calls {
		switch v.Op {
		case OpStaticLECall:
			rewriteCall(v, OpStaticCall, 0)
		case OpTailLECall:

func (a *AuxCall) LateExpansionResultType() *types.Type {
	var tys []*types.Type
	for i := int64(0); i < a.NResults(); i++ {
		tys = append(tys, a.TypeOfResult(i))
	}
	tys = append(tys, types.TypeMem)
	return types.NewResults(tys)
}

// NArgs returns the number of arguments (including receiver, if there is one).
func (a *AuxCall) NArgs() int64 {
	return int64(len(a.abiInfo.InParams()))
}

// String returns "AuxCall{<fn>}"

    Operation *new_op = rewriter.create(state);
    llvm::SmallVector<Value, 4> new_results = new_op->getResults();

    // Add qint->int CastOp after output result if its original type is qint and
    // its users are not all qint->int CastOps.
    for (int i = 0; i < new_results.size(); ++i) {
      Value &result = new_results[i];
      if (IsIllegalType(result.getType()) &&

        if (result == null) {
            ResolvedArtifactSet newResult = factory.create(componentIdentifier, sourceVariant, variantDefinition, dependenciesResolverFactory);
            result = variants.putIfAbsent(variantKey, newResult);
            if (result == null) {
                result = newResult;
            }
        }
        return result;
    }

      return failure();
    }

    // Update the results.
    SmallVector<Type, 4> new_results;
    if (failed(getTypeConverter()->convertTypes(op->getResultTypes(),
                                                new_results)))
      return failure();

    // Update the regions. The dialect conversion framework wants new regions to

        }

        ExecResultImpl newResult = new ExecResultImpl(exitValue, execExceptionFor(failureCause, currentState), displayName);
        if (!currentState.isTerminal() && newState != ExecHandleState.DETACHED) {
            try {
                broadcast.getSource().executionFinished(this, newResult);
            } catch (Exception e) {

        PerformanceTestJvmOptions.normalizeJvmOptions(jvmOptions)
    }

    abstract R newResult()

    R run() {
        assert !specs.empty
        assert testId

        Assume.assumeTrue(TestScenarioSelector.shouldRun(testId))
        TestProjects.validateTestProject(testProject)

        def results = newResult()

        try {
            runAllSpecifications(results)
        } catch (Exception e) {

    // a tensor_list, "tfr.get_element" op is used to extract the required TF
    // op result.
    llvm::SmallVector<Value, 4> new_results;
    for (auto res : llvm::enumerate(compose_func_type.getResults())) {
      if (mlir::dyn_cast<TFRTensorType>(res.value())) {
        new_results.push_back(new_op.getResult(res.index()));
      } else if (auto list_type =
                     mlir::dyn_cast<TFRTensorListType>(res.value())) {