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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. This patch was originally committed as r161460, but reverted again because of assertion failures. Now that duplicate Machine CFG edges have been eliminated, this works properly. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@162233 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -574,7 +574,7 @@ 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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@ -942,12 +942,11 @@ 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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