94                     SlotIndexes *const Indexes, MLModelRunner *Runner);
103   const MLModelRunner &getRunner() const { return *Runner; }  in getRunner()
109   MLModelRunner *const Runner;  member in llvm::MLPriorityAdvisor
142     if (!Runner) {  in getAdvisor()
144         Runner = std::make_unique<ReleaseModeModelRunner<CompiledModelType>>(  in getAdvisor()
147         Runner = std::make_unique<InteractiveModelRunner>(  in getAdvisor()
153         MF, RA, &getAnalysis<SlotIndexes>(), Runner.get());  in getAdvisor()
155   std::unique_ptr<MLModelRunner> Runner;  member in llvm::ReleaseModePriorityAdvisorAnalysis
180                                  MLModelRunner *Runner, Logger *Log)  in DevelopmentModePriorityAdvisor()  argument
181       : MLPriorityAdvisor(MF, RA, Indexes, Runner), Log(Log) {}  in DevelopmentModePriorityAdvisor()
230       Runner = std::make_unique<NoInferenceModelRunner>(Ctx, InputFeatures);  in doInitialization()
232       Runner = ModelUnderTrainingRunner::createAndEnsureValid(  in doInitialization()
234     if (!Runner) {  in doInitialization()
247     if (auto *MUTR = dyn_cast<ModelUnderTrainingRunner>(Runner.get()))  in doInitialization()
261     if (!Runner)  in getAdvisor()
268         MF, RA, &getAnalysis<SlotIndexes>(), Runner.get(), Log.get());  in getAdvisor()
271   std::unique_ptr<MLModelRunner> Runner;  member in llvm::DevelopmentModePriorityAdvisorAnalysis
288                                      MLModelRunner *Runner)  in MLPriorityAdvisor()  argument
290       Runner(std::move(Runner)) {  in MLPriorityAdvisor()
291   assert(this->Runner);  in MLPriorityAdvisor()
292   Runner->switchContext(MF.getName());  in MLPriorityAdvisor()
299   *Runner->getTensor<int64_t>(0) = static_cast<int64_t>(Size);  in getPriorityImpl()
300   *Runner->getTensor<int64_t>(1) = static_cast<int64_t>(Stage);  in getPriorityImpl()
301   *Runner->getTensor<float>(2) = static_cast<float>(LI.weight());  in getPriorityImpl()
303   return Runner->evaluate<float>();  in getPriorityImpl()