230 enum FeatureIDs {  enum
257   std::memset(Runner.getTensorUntyped(FeatureIDs::NAME), 0,                    \  in resetInputs()
283     llvm::SmallVector<float, FeatureIDs::FeatureCount>;
355   std::bitset<FeatureIDs::FeatureCount> DoNotNormalize;
578   DoNotNormalize.set(FeatureIDs::mask);  in MLEvictAdvisor()
579   DoNotNormalize.set(FeatureIDs::is_free);  in MLEvictAdvisor()
580   DoNotNormalize.set(FeatureIDs::is_hint);  in MLEvictAdvisor()
581   DoNotNormalize.set(FeatureIDs::is_local);  in MLEvictAdvisor()
582   DoNotNormalize.set(FeatureIDs::min_stage);  in MLEvictAdvisor()
583   DoNotNormalize.set(FeatureIDs::max_stage);  in MLEvictAdvisor()
584   DoNotNormalize.set(FeatureIDs::progress);  in MLEvictAdvisor()
695   FeaturesListNormalizer Largest(FeatureIDs::FeatureCount, 0.0);  in tryFindEvictionCandidate()
757         FeatureIDs::instructions, FeatureIDs::instructions_mapping,  in tryFindEvictionCandidate()
758         FeatureIDs::mbb_frequencies, FeatureIDs::mbb_mapping,  in tryFindEvictionCandidate()
765   for (size_t FeatureIndex = 0; FeatureIndex < FeatureIDs::FeatureCount;  in tryFindEvictionCandidate()
773   *Runner->getTensor<float>(FeatureIDs::progress) =  in tryFindEvictionCandidate()
915     Runner->getTensor<TYPE>(FeatureIDs::ID)[Pos] = static_cast<TYPE>(VAL);     \  in extractFeatures()
916     if (!DoNotNormalize.test(FeatureIDs::ID))                                  \  in extractFeatures()
917       Largest[FeatureIDs::ID] =                                                \  in extractFeatures()
918           std::max(Largest[FeatureIDs::ID], static_cast<float>(VAL));          \  in extractFeatures()
1117                             ? FeatureIDs::FeaturesWithDevelopmentCount  in tryFindEvictionCandidatePosition()
1118                             : FeatureIDs::FeatureCount;  in tryFindEvictionCandidatePosition()