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Fix a quadratic algorithm in MachineBranchProbabilityInfo.
The getSumForBlock function was quadratic in the number of successors because getSuccWeight would perform a linear search for an already known iterator. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@161460 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -572,7 +572,7 @@ private:
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/// getSuccWeight - Return weight of the edge from this block to MBB. This
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/// method should NOT be called directly, but by using getEdgeWeight method
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/// from MachineBranchProbabilityInfo class.
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uint32_t getSuccWeight(const MachineBasicBlock *succ) const;
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uint32_t getSuccWeight(const_succ_iterator Succ) const;
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// Methods used to maintain doubly linked list of blocks...
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@ -16,14 +16,12 @@
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#define LLVM_CODEGEN_MACHINEBRANCHPROBABILITYINFO_H
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#include "llvm/Pass.h"
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#include "llvm/CodeGen/MachineBasicBlock.h"
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#include "llvm/Support/BranchProbability.h"
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#include <climits>
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namespace llvm {
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class raw_ostream;
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class MachineBasicBlock;
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class MachineBranchProbabilityInfo : public ImmutablePass {
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virtual void anchor();
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@ -52,6 +50,11 @@ public:
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uint32_t getEdgeWeight(const MachineBasicBlock *Src,
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const MachineBasicBlock *Dst) const;
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// Same thing, but using a const_succ_iterator from Src. This is faster when
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// the iterator is already available.
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uint32_t getEdgeWeight(const MachineBasicBlock *Src,
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MachineBasicBlock::const_succ_iterator Dst) const;
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// Get sum of the block successors' weights, potentially scaling them to fit
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// within 32-bits. If scaling is required, sets Scale based on the necessary
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// adjustment. Any edge weights used with the sum should be divided by Scale.
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@ -912,12 +912,11 @@ MachineBasicBlock::findDebugLoc(instr_iterator MBBI) {
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/// getSuccWeight - Return weight of the edge from this block to MBB.
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///
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uint32_t MachineBasicBlock::getSuccWeight(const MachineBasicBlock *succ) const {
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uint32_t MachineBasicBlock::getSuccWeight(const_succ_iterator Succ) const {
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if (Weights.empty())
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return 0;
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const_succ_iterator I = std::find(Successors.begin(), Successors.end(), succ);
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return *getWeightIterator(I);
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return *getWeightIterator(Succ);
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}
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/// getWeightIterator - Return wight iterator corresonding to the I successor
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@ -38,7 +38,7 @@ getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const {
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Scale = 1;
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for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(),
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E = MBB->succ_end(); I != E; ++I) {
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uint32_t Weight = getEdgeWeight(MBB, *I);
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uint32_t Weight = getEdgeWeight(MBB, I);
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Sum += Weight;
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}
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@ -53,22 +53,30 @@ getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const {
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Sum = 0;
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for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(),
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E = MBB->succ_end(); I != E; ++I) {
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uint32_t Weight = getEdgeWeight(MBB, *I);
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uint32_t Weight = getEdgeWeight(MBB, I);
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Sum += Weight / Scale;
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}
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assert(Sum <= UINT32_MAX);
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return Sum;
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}
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uint32_t
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MachineBranchProbabilityInfo::getEdgeWeight(const MachineBasicBlock *Src,
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const MachineBasicBlock *Dst) const {
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uint32_t MachineBranchProbabilityInfo::
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getEdgeWeight(const MachineBasicBlock *Src,
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MachineBasicBlock::const_succ_iterator Dst) const {
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uint32_t Weight = Src->getSuccWeight(Dst);
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if (!Weight)
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return DEFAULT_WEIGHT;
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return Weight;
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}
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uint32_t MachineBranchProbabilityInfo::
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getEdgeWeight(const MachineBasicBlock *Src,
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const MachineBasicBlock *Dst) const {
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// This is a linear search. Try to use the const_succ_iterator version when
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// possible.
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return getEdgeWeight(Src, std::find(Src->succ_begin(), Src->succ_end(), Dst));
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}
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bool MachineBranchProbabilityInfo::isEdgeHot(MachineBasicBlock *Src,
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MachineBasicBlock *Dst) const {
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// Hot probability is at least 4/5 = 80%
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@ -82,7 +90,7 @@ MachineBranchProbabilityInfo::getHotSucc(MachineBasicBlock *MBB) const {
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MachineBasicBlock *MaxSucc = 0;
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for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(),
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E = MBB->succ_end(); I != E; ++I) {
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uint32_t Weight = getEdgeWeight(MBB, *I);
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uint32_t Weight = getEdgeWeight(MBB, I);
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if (Weight > MaxWeight) {
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MaxWeight = Weight;
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MaxSucc = *I;
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