221 void resetInputs(MLModelRunner &Runner) {  in resetInputs()  argument
223   std::memset(Runner.getTensorUntyped(FeatureIDs::NAME), 0,                    \  in resetInputs()
250                  MLModelRunner *Runner, const MachineBlockFrequencyInfo &MBFI,
260   const MLModelRunner &getRunner() const { return *Runner; }  in getRunner()
309   MLModelRunner *const Runner;  member in __anon8d2f77590111::MLEvictAdvisor
351     if (!Runner)  in getAdvisor()
352       Runner = std::make_unique<ReleaseModeModelRunner<CompiledModelType>>(  in getAdvisor()
355         MF, RA, Runner.get(), getAnalysis<MachineBlockFrequencyInfo>(),  in getAdvisor()
358   std::unique_ptr<ReleaseModeModelRunner<CompiledModelType>> Runner;  member in __anon8d2f77590111::ReleaseModeEvictionAdvisorAnalysis
388                               MLModelRunner *Runner,  in DevelopmentModeEvictAdvisor()  argument
391       : MLEvictAdvisor(MF, RA, Runner, MBFI, Loops), Log(Log) {}  in DevelopmentModeEvictAdvisor()
450     if (!Runner) {  in getAdvisor()
452         Runner = std::make_unique<NoInferenceModelRunner>(Ctx, InputFeatures);  in getAdvisor()
454         Runner = ModelUnderTrainingRunner::createAndEnsureValid(  in getAdvisor()
456       if (!Runner) {  in getAdvisor()
467       if (auto *MUTR = dyn_cast<ModelUnderTrainingRunner>(Runner.get()))  in getAdvisor()
481         MF, RA, Runner.get(), getAnalysis<MachineBlockFrequencyInfo>(),  in getAdvisor()
485   std::unique_ptr<MLModelRunner> Runner;  member in __anon8d2f77590111::DevelopmentModeEvictionAdvisorAnalysis
504                                MLModelRunner *Runner,  in MLEvictAdvisor()  argument
508       Runner(std::move(Runner)), MBFI(MBFI), Loops(Loops),  in MLEvictAdvisor()
510   assert(this->Runner);  in MLEvictAdvisor()
523   int64_t Ret = Runner->evaluate<int64_t>();  in tryFindEvictionCandidatePosition()
615   resetInputs(*Runner);  in tryFindEvictionCandidate()
674       Runner->getTensor<float>(FeatureIndex)[Pos] /= Largest[FeatureIndex];  in tryFindEvictionCandidate()
677   *Runner->getTensor<float>(FeatureIDs::progress) =  in tryFindEvictionCandidate()
811     Runner->getTensor<TYPE>(FeatureIDs::ID)[Pos] = static_cast<TYPE>(VAL);     \  in extractFeatures()