Lines Matching full:runner

95                     SlotIndexes *const Indexes, MLModelRunner *Runner);
102   // The assumption is that if the Runner could not be constructed, we emit-ed
104   const MLModelRunner &getRunner() const { return *Runner; }
110   MLModelRunner *const Runner;
143     if (!Runner) {
145         Runner = std::make_unique<ReleaseModeModelRunner<CompiledModelType>>(
148         Runner = std::make_unique<InteractiveModelRunner>(
154         MF, RA, &getAnalysis<SlotIndexesWrapperPass>().getSI(), Runner.get());
156   std::unique_ptr<MLModelRunner> Runner;
181                                  MLModelRunner *Runner, Logger *Log)
182       : MLPriorityAdvisor(MF, RA, Indexes, Runner), Log(Log) {}
231       Runner = std::make_unique<NoInferenceModelRunner>(Ctx, InputFeatures);
233       Runner = ModelUnderTrainingRunner::createAndEnsureValid(
235     if (!Runner) {
236       Ctx.emitError("Regalloc: could not set up the model runner");
248     if (auto *MUTR = dyn_cast<ModelUnderTrainingRunner>(Runner.get()))
262     if (!Runner)
269         MF, RA, &getAnalysis<SlotIndexesWrapperPass>().getSI(), Runner.get(),
273   std::unique_ptr<MLModelRunner> Runner;
290                                      MLModelRunner *Runner)
292       Runner(std::move(Runner)) {
293   assert(this->Runner);
294   Runner->switchContext(MF.getName());
301   *Runner->getTensor<int64_t>(0) = static_cast<int64_t>(Size);
302   *Runner->getTensor<int64_t>(1) = static_cast<int64_t>(Stage);
303   *Runner->getTensor<float>(2) = static_cast<float>(LI.weight());
305   return Runner->evaluate<float>();