Searched refs:FeatureIndex (Results 1 – 3 of 3) sorted by relevance
412 *ModelRunner->getTensor<int64_t>(FeatureIndex::callee_basic_block_count) = in getAdviceImpl()414 *ModelRunner->getTensor<int64_t>(FeatureIndex::callsite_height) = in getAdviceImpl()416 *ModelRunner->getTensor<int64_t>(FeatureIndex::node_count) = NodeCount; in getAdviceImpl()417 *ModelRunner->getTensor<int64_t>(FeatureIndex::nr_ctant_params) = in getAdviceImpl()419 *ModelRunner->getTensor<int64_t>(FeatureIndex::edge_count) = EdgeCount; in getAdviceImpl()420 *ModelRunner->getTensor<int64_t>(FeatureIndex::caller_users) = in getAdviceImpl()423 FeatureIndex::caller_conditionally_executed_blocks) = in getAdviceImpl()425 *ModelRunner->getTensor<int64_t>(FeatureIndex::caller_basic_block_count) = in getAdviceImpl()428 FeatureIndex::callee_conditionally_executed_blocks) = in getAdviceImpl()430 *ModelRunner->getTensor<int64_t>(FeatureIndex::callee_users) = in getAdviceImpl()[all …]
135 enum class FeatureIndex : size_t { enum148 constexpr FeatureIndex150 return static_cast<FeatureIndex>(static_cast<size_t>(Feature)); in inlineCostFeatureToMlFeature()154 static_cast<size_t>(FeatureIndex::NumberOfFeatures);
768 for (size_t FeatureIndex = 0; FeatureIndex < FeatureIDs::FeatureCount; in tryFindEvictionCandidate() local769 ++FeatureIndex) { in tryFindEvictionCandidate()770 if (DoNotNormalize.test(FeatureIndex)) in tryFindEvictionCandidate()773 Runner->getTensor<float>(FeatureIndex)[Pos] /= Largest[FeatureIndex]; in tryFindEvictionCandidate()