Searched refs:FeatureIndex (Results 1 – 3 of 3) sorted by relevance
125 enum class FeatureIndex : size_t { enum138 constexpr FeatureIndex140 return static_cast<FeatureIndex>(static_cast<size_t>(Feature)); in inlineCostFeatureToMlFeature()144 static_cast<size_t>(FeatureIndex::NumberOfFeatures);
389 *ModelRunner->getTensor<int64_t>(FeatureIndex::callee_basic_block_count) = in getAdviceImpl()391 *ModelRunner->getTensor<int64_t>(FeatureIndex::callsite_height) = in getAdviceImpl()393 *ModelRunner->getTensor<int64_t>(FeatureIndex::node_count) = NodeCount; in getAdviceImpl()394 *ModelRunner->getTensor<int64_t>(FeatureIndex::nr_ctant_params) = in getAdviceImpl()396 *ModelRunner->getTensor<int64_t>(FeatureIndex::edge_count) = EdgeCount; in getAdviceImpl()397 *ModelRunner->getTensor<int64_t>(FeatureIndex::caller_users) = in getAdviceImpl()400 FeatureIndex::caller_conditionally_executed_blocks) = in getAdviceImpl()402 *ModelRunner->getTensor<int64_t>(FeatureIndex::caller_basic_block_count) = in getAdviceImpl()405 FeatureIndex::callee_conditionally_executed_blocks) = in getAdviceImpl()407 *ModelRunner->getTensor<int64_t>(FeatureIndex::callee_users) = in getAdviceImpl()[all …]
765 for (size_t FeatureIndex = 0; FeatureIndex < FeatureIDs::FeatureCount; in tryFindEvictionCandidate() local766 ++FeatureIndex) { in tryFindEvictionCandidate()767 if (DoNotNormalize.test(FeatureIndex)) in tryFindEvictionCandidate()770 Runner->getTensor<float>(FeatureIndex)[Pos] /= Largest[FeatureIndex]; in tryFindEvictionCandidate()