Lines Matching full:runner

263 void resetInputs(MLModelRunner &Runner) {
265   std::memset(Runner.getTensorUntyped(FeatureIDs::NAME), 0,                    \
297                  MLModelRunner *Runner, const MachineBlockFrequencyInfo &MBFI,
305   // The assumption is that if the Runner could not be constructed, we emit-ed
307   const MLModelRunner &getRunner() const { return *Runner; }
309   /// This just calls Evaluate on the Runner, but in the development mode
357   MLModelRunner *const Runner;
421     if (!Runner) {
423         Runner = std::make_unique<ReleaseModeModelRunner<CompiledModelType>>(
426         Runner = std::make_unique<InteractiveModelRunner>(
432         MF, RA, Runner.get(),
436   std::unique_ptr<MLModelRunner> Runner;
457                               MLModelRunner *Runner,
460       : MLEvictAdvisor(MF, RA, Runner, MBFI, Loops), Log(Log) {}
535       Runner = std::make_unique<NoInferenceModelRunner>(Ctx, InputFeatures);
537       Runner = ModelUnderTrainingRunner::createAndEnsureValid(
539     if (!Runner) {
540       Ctx.emitError("Regalloc: could not set up the model runner");
552     if (auto *MUTR = dyn_cast<ModelUnderTrainingRunner>(Runner.get()))
566     if (!Runner)
571         MF, RA, Runner.get(),
576   std::unique_ptr<MLModelRunner> Runner;
595                                MLModelRunner *Runner,
599       Runner(std::move(Runner)), MBFI(MBFI), Loops(Loops),
601   assert(this->Runner);
602   Runner->switchContext(MF.getName());
615   int64_t Ret = Runner->evaluate<int64_t>();
718   resetInputs(*Runner);
772         LRPosInfo, Runner,
805       Runner->getTensor<float>(FeatureIndex)[Pos] /= Largest[FeatureIndex];
808   *Runner->getTensor<float>(FeatureIDs::progress) =
966     Runner->getTensor<TYPE>(FeatureIDs::ID)[Pos] = static_cast<TYPE>(VAL);     \