X-Git-Url: http://demsky.eecs.uci.edu/git/?a=blobdiff_plain;f=lib%2FCodeGen%2FMachineBranchProbabilityInfo.cpp;h=447921147f03567db30ebf73b5d3575bb59f6773;hb=ed84062812c7b8a82d0e8128a22aa1aa07a14d79;hp=e3cfa9ea5afcbee458358a2ed91de585d9e14034;hpb=c4e15628255b24cb17138404abe3d94bde811e25;p=oota-llvm.git diff --git a/lib/CodeGen/MachineBranchProbabilityInfo.cpp b/lib/CodeGen/MachineBranchProbabilityInfo.cpp index e3cfa9ea5af..447921147f0 100644 --- a/lib/CodeGen/MachineBranchProbabilityInfo.cpp +++ b/lib/CodeGen/MachineBranchProbabilityInfo.cpp @@ -26,8 +26,10 @@ INITIALIZE_PASS_END(MachineBranchProbabilityInfo, "machine-branch-prob", char MachineBranchProbabilityInfo::ID = 0; +void MachineBranchProbabilityInfo::anchor() { } + uint32_t MachineBranchProbabilityInfo:: -getSumForBlock(MachineBasicBlock *MBB, uint32_t &Scale) const { +getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const { // First we compute the sum with 64-bits of precision, ensuring that cannot // overflow by bounding the number of weights considered. Hopefully no one // actually needs 2^32 successors. @@ -36,7 +38,7 @@ getSumForBlock(MachineBasicBlock *MBB, uint32_t &Scale) const { Scale = 1; for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(), E = MBB->succ_end(); I != E; ++I) { - uint32_t Weight = getEdgeWeight(MBB, *I); + uint32_t Weight = getEdgeWeight(MBB, I); Sum += Weight; } @@ -51,22 +53,30 @@ getSumForBlock(MachineBasicBlock *MBB, uint32_t &Scale) const { Sum = 0; for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(), E = MBB->succ_end(); I != E; ++I) { - uint32_t Weight = getEdgeWeight(MBB, *I); + uint32_t Weight = getEdgeWeight(MBB, I); Sum += Weight / Scale; } assert(Sum <= UINT32_MAX); return Sum; } -uint32_t -MachineBranchProbabilityInfo::getEdgeWeight(MachineBasicBlock *Src, - MachineBasicBlock *Dst) const { +uint32_t MachineBranchProbabilityInfo:: +getEdgeWeight(const MachineBasicBlock *Src, + MachineBasicBlock::const_succ_iterator Dst) const { uint32_t Weight = Src->getSuccWeight(Dst); if (!Weight) return DEFAULT_WEIGHT; return Weight; } +uint32_t MachineBranchProbabilityInfo:: +getEdgeWeight(const MachineBasicBlock *Src, + const MachineBasicBlock *Dst) const { + // This is a linear search. Try to use the const_succ_iterator version when + // possible. + return getEdgeWeight(Src, std::find(Src->succ_begin(), Src->succ_end(), Dst)); +} + bool MachineBranchProbabilityInfo::isEdgeHot(MachineBasicBlock *Src, MachineBasicBlock *Dst) const { // Hot probability is at least 4/5 = 80% @@ -80,7 +90,7 @@ MachineBranchProbabilityInfo::getHotSucc(MachineBasicBlock *MBB) const { MachineBasicBlock *MaxSucc = 0; for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(), E = MBB->succ_end(); I != E; ++I) { - uint32_t Weight = getEdgeWeight(MBB, *I); + uint32_t Weight = getEdgeWeight(MBB, I); if (Weight > MaxWeight) { MaxWeight = Weight; MaxSucc = *I;