Lines Matching refs:Runner

256 void resetInputs(MLModelRunner &Runner) {
258   std::memset(Runner.getTensorUntyped(FeatureIDs::NAME), 0,                    \
290                  MLModelRunner *Runner, const MachineBlockFrequencyInfo &MBFI,
298   // The assumption is that if the Runner could not be constructed, we emit-ed
300   const MLModelRunner &getRunner() const { return *Runner; }
302   /// This just calls Evaluate on the Runner, but in the development mode
350   MLModelRunner *const Runner;
398     if (!Runner) {
400         Runner = std::make_unique<ReleaseModeModelRunner<CompiledModelType>>(
403         Runner = std::make_unique<InteractiveModelRunner>(
409         MF, RA, Runner.get(),
413   std::unique_ptr<MLModelRunner> Runner;
434                               MLModelRunner *Runner,
437       : MLEvictAdvisor(MF, RA, Runner, MBFI, Loops), Log(Log) {}
512       Runner = std::make_unique<NoInferenceModelRunner>(Ctx, InputFeatures);
514       Runner = ModelUnderTrainingRunner::createAndEnsureValid(
516     if (!Runner) {
529     if (auto *MUTR = dyn_cast<ModelUnderTrainingRunner>(Runner.get()))
543     if (!Runner)
548         MF, RA, Runner.get(),
553   std::unique_ptr<MLModelRunner> Runner;
573                                MLModelRunner *Runner,
577       Runner(std::move(Runner)), MBFI(MBFI), Loops(Loops),
579   assert(this->Runner);
580   Runner->switchContext(MF.getName());
593   int64_t Ret = Runner->evaluate<int64_t>();
686   resetInputs(*Runner);
740         LRPosInfo, Runner,
773       Runner->getTensor<float>(FeatureIndex)[Pos] /= Largest[FeatureIndex];
776   *Runner->getTensor<float>(FeatureIDs::progress) =
918     Runner->getTensor<TYPE>(FeatureIDs::ID)[Pos] = static_cast<TYPE>(VAL);     \