| //===- SwitchLoweringUtils.cpp - Switch Lowering --------------------------===// | |
| // | |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. | |
| // See https://llvm.org/LICENSE.txt for license information. | |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| // | |
| //===----------------------------------------------------------------------===// | |
| // | |
| // This file contains switch inst lowering optimizations and utilities for | |
| // codegen, so that it can be used for both SelectionDAG and GlobalISel. | |
| // | |
| //===----------------------------------------------------------------------===// | |
| #include "llvm/CodeGen/SwitchLoweringUtils.h" | |
| #include "llvm/CodeGen/FunctionLoweringInfo.h" | |
| #include "llvm/CodeGen/MachineJumpTableInfo.h" | |
| #include "llvm/CodeGen/TargetLowering.h" | |
| #include "llvm/Target/TargetMachine.h" | |
| using namespace llvm; | |
| using namespace SwitchCG; | |
| uint64_t SwitchCG::getJumpTableRange(const CaseClusterVector &Clusters, | |
| unsigned First, unsigned Last) { | |
| assert(Last >= First); | |
| const APInt &LowCase = Clusters[First].Low->getValue(); | |
| const APInt &HighCase = Clusters[Last].High->getValue(); | |
| assert(LowCase.getBitWidth() == HighCase.getBitWidth()); | |
| // FIXME: A range of consecutive cases has 100% density, but only requires one | |
| // comparison to lower. We should discriminate against such consecutive ranges | |
| // in jump tables. | |
| return (HighCase - LowCase).getLimitedValue((UINT64_MAX - 1) / 100) + 1; | |
| } | |
| uint64_t | |
| SwitchCG::getJumpTableNumCases(const SmallVectorImpl<unsigned> &TotalCases, | |
| unsigned First, unsigned Last) { | |
| assert(Last >= First); | |
| assert(TotalCases[Last] >= TotalCases[First]); | |
| uint64_t NumCases = | |
| TotalCases[Last] - (First == 0 ? 0 : TotalCases[First - 1]); | |
| return NumCases; | |
| } | |
| void SwitchCG::SwitchLowering::findJumpTables(CaseClusterVector &Clusters, | |
| const SwitchInst *SI, | |
| std::optional<SDLoc> SL, | |
| MachineBasicBlock *DefaultMBB, | |
| ProfileSummaryInfo *PSI, | |
| BlockFrequencyInfo *BFI) { | |
| #ifndef NDEBUG | |
| // Clusters must be non-empty, sorted, and only contain Range clusters. | |
| assert(!Clusters.empty()); | |
| for (CaseCluster &C : Clusters) | |
| assert(C.Kind == CC_Range); | |
| for (unsigned i = 1, e = Clusters.size(); i < e; ++i) | |
| assert(Clusters[i - 1].High->getValue().slt(Clusters[i].Low->getValue())); | |
| #endif | |
| assert(TLI && "TLI not set!"); | |
| if (!TLI->areJTsAllowed(SI->getParent()->getParent())) | |
| return; | |
| const unsigned MinJumpTableEntries = TLI->getMinimumJumpTableEntries(); | |
| const unsigned SmallNumberOfEntries = MinJumpTableEntries / 2; | |
| // Bail if not enough cases. | |
| const int64_t N = Clusters.size(); | |
| if (N < 2 || N < MinJumpTableEntries) | |
| return; | |
| // Accumulated number of cases in each cluster and those prior to it. | |
| SmallVector<unsigned, 8> TotalCases(N); | |
| for (unsigned i = 0; i < N; ++i) { | |
| const APInt &Hi = Clusters[i].High->getValue(); | |
| const APInt &Lo = Clusters[i].Low->getValue(); | |
| TotalCases[i] = (Hi - Lo).getLimitedValue() + 1; | |
| if (i != 0) | |
| TotalCases[i] += TotalCases[i - 1]; | |
| } | |
| uint64_t Range = getJumpTableRange(Clusters,0, N - 1); | |
| uint64_t NumCases = getJumpTableNumCases(TotalCases, 0, N - 1); | |
| assert(NumCases < UINT64_MAX / 100); | |
| assert(Range >= NumCases); | |
| // Cheap case: the whole range may be suitable for jump table. | |
| if (TLI->isSuitableForJumpTable(SI, NumCases, Range, PSI, BFI)) { | |
| CaseCluster JTCluster; | |
| if (buildJumpTable(Clusters, 0, N - 1, SI, SL, DefaultMBB, JTCluster)) { | |
| Clusters[0] = JTCluster; | |
| Clusters.resize(1); | |
| return; | |
| } | |
| } | |
| // The algorithm below is not suitable for -O0. | |
| if (TM->getOptLevel() == CodeGenOptLevel::None) | |
| return; | |
| // Split Clusters into minimum number of dense partitions. The algorithm uses | |
| // the same idea as Kannan & Proebsting "Correction to 'Producing Good Code | |
| // for the Case Statement'" (1994), but builds the MinPartitions array in | |
| // reverse order to make it easier to reconstruct the partitions in ascending | |
| // order. In the choice between two optimal partitionings, it picks the one | |
| // which yields more jump tables. The algorithm is described in | |
| // https://arxiv.org/pdf/1910.02351v2 | |
| // MinPartitions[i] is the minimum nbr of partitions of Clusters[i..N-1]. | |
| SmallVector<unsigned, 8> MinPartitions(N); | |
| // LastElement[i] is the last element of the partition starting at i. | |
| SmallVector<unsigned, 8> LastElement(N); | |
| // PartitionsScore[i] is used to break ties when choosing between two | |
| // partitionings resulting in the same number of partitions. | |
| SmallVector<unsigned, 8> PartitionsScore(N); | |
| // For PartitionsScore, a small number of comparisons is considered as good as | |
| // a jump table and a single comparison is considered better than a jump | |
| // table. | |
| enum PartitionScores : unsigned { | |
| NoTable = 0, | |
| Table = 1, | |
| FewCases = 1, | |
| SingleCase = 2 | |
| }; | |
| // Base case: There is only one way to partition Clusters[N-1]. | |
| MinPartitions[N - 1] = 1; | |
| LastElement[N - 1] = N - 1; | |
| PartitionsScore[N - 1] = PartitionScores::SingleCase; | |
| // Note: loop indexes are signed to avoid underflow. | |
| for (int64_t i = N - 2; i >= 0; i--) { | |
| // Find optimal partitioning of Clusters[i..N-1]. | |
| // Baseline: Put Clusters[i] into a partition on its own. | |
| MinPartitions[i] = MinPartitions[i + 1] + 1; | |
| LastElement[i] = i; | |
| PartitionsScore[i] = PartitionsScore[i + 1] + PartitionScores::SingleCase; | |
| // Search for a solution that results in fewer partitions. | |
| for (int64_t j = N - 1; j > i; j--) { | |
| // Try building a partition from Clusters[i..j]. | |
| Range = getJumpTableRange(Clusters, i, j); | |
| NumCases = getJumpTableNumCases(TotalCases, i, j); | |
| assert(NumCases < UINT64_MAX / 100); | |
| assert(Range >= NumCases); | |
| if (TLI->isSuitableForJumpTable(SI, NumCases, Range, PSI, BFI)) { | |
| unsigned NumPartitions = 1 + (j == N - 1 ? 0 : MinPartitions[j + 1]); | |
| unsigned Score = j == N - 1 ? 0 : PartitionsScore[j + 1]; | |
| int64_t NumEntries = j - i + 1; | |
| if (NumEntries == 1) | |
| Score += PartitionScores::SingleCase; | |
| else if (NumEntries <= SmallNumberOfEntries) | |
| Score += PartitionScores::FewCases; | |
| else if (NumEntries >= MinJumpTableEntries) | |
| Score += PartitionScores::Table; | |
| // If this leads to fewer partitions, or to the same number of | |
| // partitions with better score, it is a better partitioning. | |
| if (NumPartitions < MinPartitions[i] || | |
| (NumPartitions == MinPartitions[i] && Score > PartitionsScore[i])) { | |
| MinPartitions[i] = NumPartitions; | |
| LastElement[i] = j; | |
| PartitionsScore[i] = Score; | |
| } | |
| } | |
| } | |
| } | |
| // Iterate over the partitions, replacing some with jump tables in-place. | |
| unsigned DstIndex = 0; | |
| for (unsigned First = 0, Last; First < N; First = Last + 1) { | |
| Last = LastElement[First]; | |
| assert(Last >= First); | |
| assert(DstIndex <= First); | |
| unsigned NumClusters = Last - First + 1; | |
| CaseCluster JTCluster; | |
| if (NumClusters >= MinJumpTableEntries && | |
| buildJumpTable(Clusters, First, Last, SI, SL, DefaultMBB, JTCluster)) { | |
| Clusters[DstIndex++] = JTCluster; | |
| } else { | |
| for (unsigned I = First; I <= Last; ++I) | |
| std::memmove(&Clusters[DstIndex++], &Clusters[I], sizeof(Clusters[I])); | |
| } | |
| } | |
| Clusters.resize(DstIndex); | |
| } | |
| bool SwitchCG::SwitchLowering::buildJumpTable(const CaseClusterVector &Clusters, | |
| unsigned First, unsigned Last, | |
| const SwitchInst *SI, | |
| const std::optional<SDLoc> &SL, | |
| MachineBasicBlock *DefaultMBB, | |
| CaseCluster &JTCluster) { | |
| assert(First <= Last); | |
| auto Prob = BranchProbability::getZero(); | |
| std::vector<MachineBasicBlock*> Table; | |
| DenseMap<MachineBasicBlock*, BranchProbability> JTProbs; | |
| // Initialize probabilities in JTProbs. | |
| for (unsigned I = First; I <= Last; ++I) | |
| JTProbs[Clusters[I].MBB] = BranchProbability::getZero(); | |
| DenseMap<const BasicBlock *, unsigned int> DestMap; | |
| for (unsigned I = First; I <= Last; ++I) { | |
| assert(Clusters[I].Kind == CC_Range); | |
| Prob += Clusters[I].Prob; | |
| const APInt &Low = Clusters[I].Low->getValue(); | |
| const APInt &High = Clusters[I].High->getValue(); | |
| unsigned int NumCmp = (Low == High) ? 1 : 2; | |
| const BasicBlock *BB = Clusters[I].MBB->getBasicBlock(); | |
| DestMap[BB] += NumCmp; | |
| if (I != First) { | |
| // Fill the gap between this and the previous cluster. | |
| const APInt &PreviousHigh = Clusters[I - 1].High->getValue(); | |
| assert(PreviousHigh.slt(Low)); | |
| uint64_t Gap = (Low - PreviousHigh).getLimitedValue() - 1; | |
| for (uint64_t J = 0; J < Gap; J++) | |
| Table.push_back(DefaultMBB); | |
| } | |
| uint64_t ClusterSize = (High - Low).getLimitedValue() + 1; | |
| for (uint64_t J = 0; J < ClusterSize; ++J) | |
| Table.push_back(Clusters[I].MBB); | |
| JTProbs[Clusters[I].MBB] += Clusters[I].Prob; | |
| } | |
| if (TLI->isSuitableForBitTests(DestMap, Clusters[First].Low->getValue(), | |
| Clusters[Last].High->getValue(), *DL)) { | |
| // Clusters[First..Last] should be lowered as bit tests instead. | |
| return false; | |
| } | |
| // Create the MBB that will load from and jump through the table. | |
| // Note: We create it here, but it's not inserted into the function yet. | |
| MachineFunction *CurMF = FuncInfo.MF; | |
| MachineBasicBlock *JumpTableMBB = | |
| CurMF->CreateMachineBasicBlock(SI->getParent()); | |
| // Add successors. Note: use table order for determinism. | |
| SmallPtrSet<MachineBasicBlock *, 8> Done; | |
| for (MachineBasicBlock *Succ : Table) { | |
| if (Done.count(Succ)) | |
| continue; | |
| addSuccessorWithProb(JumpTableMBB, Succ, JTProbs[Succ]); | |
| Done.insert(Succ); | |
| } | |
| JumpTableMBB->normalizeSuccProbs(); | |
| unsigned JTI = CurMF->getOrCreateJumpTableInfo(TLI->getJumpTableEncoding()) | |
| ->createJumpTableIndex(Table); | |
| // Set up the jump table info. | |
| JumpTable JT(Register(), JTI, JumpTableMBB, nullptr, SL); | |
| JumpTableHeader JTH(Clusters[First].Low->getValue(), | |
| Clusters[Last].High->getValue(), SI->getCondition(), | |
| nullptr, false); | |
| JTCases.emplace_back(std::move(JTH), std::move(JT)); | |
| JTCluster = CaseCluster::jumpTable(Clusters[First].Low, Clusters[Last].High, | |
| JTCases.size() - 1, Prob); | |
| return true; | |
| } | |
| void SwitchCG::SwitchLowering::findBitTestClusters(CaseClusterVector &Clusters, | |
| const SwitchInst *SI) { | |
| // Partition Clusters into as few subsets as possible, where each subset has a | |
| // range that fits in a machine word and has <= 3 unique destinations. | |
| #ifndef NDEBUG | |
| // Clusters must be sorted and contain Range or JumpTable clusters. | |
| assert(!Clusters.empty()); | |
| assert(Clusters[0].Kind == CC_Range || Clusters[0].Kind == CC_JumpTable); | |
| for (const CaseCluster &C : Clusters) | |
| assert(C.Kind == CC_Range || C.Kind == CC_JumpTable); | |
| for (unsigned i = 1; i < Clusters.size(); ++i) | |
| assert(Clusters[i-1].High->getValue().slt(Clusters[i].Low->getValue())); | |
| #endif | |
| // The algorithm below is not suitable for -O0. | |
| if (TM->getOptLevel() == CodeGenOptLevel::None) | |
| return; | |
| // If target does not have legal shift left, do not emit bit tests at all. | |
| EVT PTy = TLI->getPointerTy(*DL); | |
| if (!TLI->isOperationLegal(ISD::SHL, PTy)) | |
| return; | |
| int BitWidth = PTy.getSizeInBits(); | |
| const int64_t N = Clusters.size(); | |
| // MinPartitions[i] is the minimum nbr of partitions of Clusters[i..N-1]. | |
| SmallVector<unsigned, 8> MinPartitions(N); | |
| // LastElement[i] is the last element of the partition starting at i. | |
| SmallVector<unsigned, 8> LastElement(N); | |
| // FIXME: This might not be the best algorithm for finding bit test clusters. | |
| // Base case: There is only one way to partition Clusters[N-1]. | |
| MinPartitions[N - 1] = 1; | |
| LastElement[N - 1] = N - 1; | |
| // Note: loop indexes are signed to avoid underflow. | |
| for (int64_t i = N - 2; i >= 0; --i) { | |
| // Find optimal partitioning of Clusters[i..N-1]. | |
| // Baseline: Put Clusters[i] into a partition on its own. | |
| MinPartitions[i] = MinPartitions[i + 1] + 1; | |
| LastElement[i] = i; | |
| // Search for a solution that results in fewer partitions. | |
| // Note: the search is limited by BitWidth, reducing time complexity. | |
| for (int64_t j = std::min(N - 1, i + BitWidth - 1); j > i; --j) { | |
| // Try building a partition from Clusters[i..j]. | |
| // Check the range. | |
| if (!TLI->rangeFitsInWord(Clusters[i].Low->getValue(), | |
| Clusters[j].High->getValue(), *DL)) | |
| continue; | |
| // Check nbr of destinations and cluster types. | |
| // FIXME: This works, but doesn't seem very efficient. | |
| bool RangesOnly = true; | |
| BitVector Dests(FuncInfo.MF->getNumBlockIDs()); | |
| for (int64_t k = i; k <= j; k++) { | |
| if (Clusters[k].Kind != CC_Range) { | |
| RangesOnly = false; | |
| break; | |
| } | |
| Dests.set(Clusters[k].MBB->getNumber()); | |
| } | |
| if (!RangesOnly || Dests.count() > 3) | |
| break; | |
| // Check if it's a better partition. | |
| unsigned NumPartitions = 1 + (j == N - 1 ? 0 : MinPartitions[j + 1]); | |
| if (NumPartitions < MinPartitions[i]) { | |
| // Found a better partition. | |
| MinPartitions[i] = NumPartitions; | |
| LastElement[i] = j; | |
| } | |
| } | |
| } | |
| // Iterate over the partitions, replacing with bit-test clusters in-place. | |
| unsigned DstIndex = 0; | |
| for (unsigned First = 0, Last; First < N; First = Last + 1) { | |
| Last = LastElement[First]; | |
| assert(First <= Last); | |
| assert(DstIndex <= First); | |
| CaseCluster BitTestCluster; | |
| if (buildBitTests(Clusters, First, Last, SI, BitTestCluster)) { | |
| Clusters[DstIndex++] = BitTestCluster; | |
| } else { | |
| size_t NumClusters = Last - First + 1; | |
| std::memmove(&Clusters[DstIndex], &Clusters[First], | |
| sizeof(Clusters[0]) * NumClusters); | |
| DstIndex += NumClusters; | |
| } | |
| } | |
| Clusters.resize(DstIndex); | |
| } | |
| bool SwitchCG::SwitchLowering::buildBitTests(CaseClusterVector &Clusters, | |
| unsigned First, unsigned Last, | |
| const SwitchInst *SI, | |
| CaseCluster &BTCluster) { | |
| assert(First <= Last); | |
| if (First == Last) | |
| return false; | |
| DenseMap<const BasicBlock *, unsigned int> DestMap; | |
| for (int64_t I = First; I <= Last; ++I) { | |
| assert(Clusters[I].Kind == CC_Range); | |
| unsigned NumCmp = (Clusters[I].Low == Clusters[I].High) ? 1 : 2; | |
| const BasicBlock *BB = Clusters[I].MBB->getBasicBlock(); | |
| DestMap[BB] += NumCmp; | |
| } | |
| APInt Low = Clusters[First].Low->getValue(); | |
| APInt High = Clusters[Last].High->getValue(); | |
| assert(Low.slt(High)); | |
| if (!TLI->isSuitableForBitTests(DestMap, Low, High, *DL)) | |
| return false; | |
| APInt LowBound; | |
| APInt CmpRange; | |
| const int BitWidth = TLI->getPointerTy(*DL).getSizeInBits(); | |
| assert(TLI->rangeFitsInWord(Low, High, *DL) && | |
| "Case range must fit in bit mask!"); | |
| // Check if the clusters cover a contiguous range such that no value in the | |
| // range will jump to the default statement. | |
| bool ContiguousRange = true; | |
| for (int64_t I = First + 1; I <= Last; ++I) { | |
| if (Clusters[I].Low->getValue() != Clusters[I - 1].High->getValue() + 1) { | |
| ContiguousRange = false; | |
| break; | |
| } | |
| } | |
| if (Low.isStrictlyPositive() && High.slt(BitWidth)) { | |
| // Optimize the case where all the case values fit in a word without having | |
| // to subtract minValue. In this case, we can optimize away the subtraction. | |
| LowBound = APInt::getZero(Low.getBitWidth()); | |
| CmpRange = High; | |
| ContiguousRange = false; | |
| } else { | |
| LowBound = Low; | |
| CmpRange = High - Low; | |
| } | |
| CaseBitsVector CBV; | |
| auto TotalProb = BranchProbability::getZero(); | |
| for (unsigned i = First; i <= Last; ++i) { | |
| // Find the CaseBits for this destination. | |
| unsigned j; | |
| for (j = 0; j < CBV.size(); ++j) | |
| if (CBV[j].BB == Clusters[i].MBB) | |
| break; | |
| if (j == CBV.size()) | |
| CBV.push_back( | |
| CaseBits(0, Clusters[i].MBB, 0, BranchProbability::getZero())); | |
| CaseBits *CB = &CBV[j]; | |
| // Update Mask, Bits and ExtraProb. | |
| uint64_t Lo = (Clusters[i].Low->getValue() - LowBound).getZExtValue(); | |
| uint64_t Hi = (Clusters[i].High->getValue() - LowBound).getZExtValue(); | |
| assert(Hi >= Lo && Hi < 64 && "Invalid bit case!"); | |
| CB->Mask |= (-1ULL >> (63 - (Hi - Lo))) << Lo; | |
| CB->Bits += Hi - Lo + 1; | |
| CB->ExtraProb += Clusters[i].Prob; | |
| TotalProb += Clusters[i].Prob; | |
| } | |
| BitTestInfo BTI; | |
| llvm::sort(CBV, [](const CaseBits &a, const CaseBits &b) { | |
| // Sort by probability first, number of bits second, bit mask third. | |
| if (a.ExtraProb != b.ExtraProb) | |
| return a.ExtraProb > b.ExtraProb; | |
| if (a.Bits != b.Bits) | |
| return a.Bits > b.Bits; | |
| return a.Mask < b.Mask; | |
| }); | |
| for (auto &CB : CBV) { | |
| MachineBasicBlock *BitTestBB = | |
| FuncInfo.MF->CreateMachineBasicBlock(SI->getParent()); | |
| BTI.push_back(BitTestCase(CB.Mask, BitTestBB, CB.BB, CB.ExtraProb)); | |
| } | |
| BitTestCases.emplace_back(std::move(LowBound), std::move(CmpRange), | |
| SI->getCondition(), Register(), MVT::Other, false, | |
| ContiguousRange, nullptr, nullptr, std::move(BTI), | |
| TotalProb); | |
| BTCluster = CaseCluster::bitTests(Clusters[First].Low, Clusters[Last].High, | |
| BitTestCases.size() - 1, TotalProb); | |
| return true; | |
| } | |
| void SwitchCG::sortAndRangeify(CaseClusterVector &Clusters) { | |
| #ifndef NDEBUG | |
| for (const CaseCluster &CC : Clusters) | |
| assert(CC.Low == CC.High && "Input clusters must be single-case"); | |
| #endif | |
| llvm::sort(Clusters, [](const CaseCluster &a, const CaseCluster &b) { | |
| return a.Low->getValue().slt(b.Low->getValue()); | |
| }); | |
| // Merge adjacent clusters with the same destination. | |
| const unsigned N = Clusters.size(); | |
| unsigned DstIndex = 0; | |
| for (unsigned SrcIndex = 0; SrcIndex < N; ++SrcIndex) { | |
| CaseCluster &CC = Clusters[SrcIndex]; | |
| const ConstantInt *CaseVal = CC.Low; | |
| MachineBasicBlock *Succ = CC.MBB; | |
| if (DstIndex != 0 && Clusters[DstIndex - 1].MBB == Succ && | |
| (CaseVal->getValue() - Clusters[DstIndex - 1].High->getValue()) == 1) { | |
| // If this case has the same successor and is a neighbour, merge it into | |
| // the previous cluster. | |
| Clusters[DstIndex - 1].High = CaseVal; | |
| Clusters[DstIndex - 1].Prob += CC.Prob; | |
| } else { | |
| std::memmove(&Clusters[DstIndex++], &Clusters[SrcIndex], | |
| sizeof(Clusters[SrcIndex])); | |
| } | |
| } | |
| Clusters.resize(DstIndex); | |
| } | |
| unsigned SwitchCG::SwitchLowering::caseClusterRank(const CaseCluster &CC, | |
| CaseClusterIt First, | |
| CaseClusterIt Last) { | |
| return std::count_if(First, Last + 1, [&](const CaseCluster &X) { | |
| if (X.Prob != CC.Prob) | |
| return X.Prob > CC.Prob; | |
| // Ties are broken by comparing the case value. | |
| return X.Low->getValue().slt(CC.Low->getValue()); | |
| }); | |
| } | |
| llvm::SwitchCG::SwitchLowering::SplitWorkItemInfo | |
| SwitchCG::SwitchLowering::computeSplitWorkItemInfo( | |
| const SwitchWorkListItem &W) { | |
| CaseClusterIt LastLeft = W.FirstCluster; | |
| CaseClusterIt FirstRight = W.LastCluster; | |
| auto LeftProb = LastLeft->Prob + W.DefaultProb / 2; | |
| auto RightProb = FirstRight->Prob + W.DefaultProb / 2; | |
| // Move LastLeft and FirstRight towards each other from opposite directions to | |
| // find a partitioning of the clusters which balances the probability on both | |
| // sides. If LeftProb and RightProb are equal, alternate which side is | |
| // taken to ensure 0-probability nodes are distributed evenly. | |
| unsigned I = 0; | |
| while (LastLeft + 1 < FirstRight) { | |
| if (LeftProb < RightProb || (LeftProb == RightProb && (I & 1))) | |
| LeftProb += (++LastLeft)->Prob; | |
| else | |
| RightProb += (--FirstRight)->Prob; | |
| I++; | |
| } | |
| while (true) { | |
| // Our binary search tree differs from a typical BST in that ours can have | |
| // up to three values in each leaf. The pivot selection above doesn't take | |
| // that into account, which means the tree might require more nodes and be | |
| // less efficient. We compensate for this here. | |
| unsigned NumLeft = LastLeft - W.FirstCluster + 1; | |
| unsigned NumRight = W.LastCluster - FirstRight + 1; | |
| if (std::min(NumLeft, NumRight) < 3 && std::max(NumLeft, NumRight) > 3) { | |
| // If one side has less than 3 clusters, and the other has more than 3, | |
| // consider taking a cluster from the other side. | |
| if (NumLeft < NumRight) { | |
| // Consider moving the first cluster on the right to the left side. | |
| CaseCluster &CC = *FirstRight; | |
| unsigned RightSideRank = caseClusterRank(CC, FirstRight, W.LastCluster); | |
| unsigned LeftSideRank = caseClusterRank(CC, W.FirstCluster, LastLeft); | |
| if (LeftSideRank <= RightSideRank) { | |
| // Moving the cluster to the left does not demote it. | |
| ++LastLeft; | |
| ++FirstRight; | |
| continue; | |
| } | |
| } else { | |
| assert(NumRight < NumLeft); | |
| // Consider moving the last element on the left to the right side. | |
| CaseCluster &CC = *LastLeft; | |
| unsigned LeftSideRank = caseClusterRank(CC, W.FirstCluster, LastLeft); | |
| unsigned RightSideRank = caseClusterRank(CC, FirstRight, W.LastCluster); | |
| if (RightSideRank <= LeftSideRank) { | |
| // Moving the cluster to the right does not demot it. | |
| --LastLeft; | |
| --FirstRight; | |
| continue; | |
| } | |
| } | |
| } | |
| break; | |
| } | |
| assert(LastLeft + 1 == FirstRight); | |
| assert(LastLeft >= W.FirstCluster); | |
| assert(FirstRight <= W.LastCluster); | |
| return SplitWorkItemInfo{LastLeft, FirstRight, LeftProb, RightProb}; | |
| } |