Revert r254348: "Replace all weight-based interfaces in MBB with probability-based interfaces, and update all uses of old interfaces."

and the follow-up r254356: "Fix a bug in MachineBlockPlacement that may cause assertion failure during BranchProbability construction."

Asserts were firing in Chromium builds. See PR25687.

llvm-svn: 254366
This commit is contained in:
Hans Wennborg 2015-12-01 03:49:42 +00:00
parent 64daf7b1a5
commit 1dbaf67537
34 changed files with 422 additions and 298 deletions

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@ -61,9 +61,6 @@ public:
BranchProbability getEdgeProbability(const BasicBlock *Src,
const BasicBlock *Dst) const;
BranchProbability getEdgeProbability(const BasicBlock *Src,
succ_const_iterator Dst) const;
/// \brief Test if an edge is hot relative to other out-edges of the Src.
///
/// Check whether this edge out of the source block is 'hot'. We define hot

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@ -91,6 +91,13 @@ private:
std::vector<MachineBasicBlock *> Predecessors;
std::vector<MachineBasicBlock *> Successors;
/// Keep track of the weights to the successors. This vector has the same
/// order as Successors, or it is empty if we don't use it (disable
/// optimization).
std::vector<uint32_t> Weights;
typedef std::vector<uint32_t>::iterator weight_iterator;
typedef std::vector<uint32_t>::const_iterator const_weight_iterator;
/// Keep track of the probabilities to the successors. This vector has the
/// same order as Successors, or it is empty if we don't use it (disable
/// optimization).
@ -434,15 +441,25 @@ public:
// Machine-CFG mutators
/// Add Succ as a successor of this MachineBasicBlock. The Predecessors list
/// of Succ is automatically updated. PROB parameter is stored in
/// Probabilities list. The default probability is set as unknown. Mixing
/// known and unknown probabilities in successor list is not allowed. When all
/// successors have unknown probabilities, 1 / N is returned as the
/// probability for each successor, where N is the number of successors.
/// of Succ is automatically updated. WEIGHT parameter is stored in Weights
/// list and it may be used by MachineBranchProbabilityInfo analysis to
/// calculate branch probability.
///
/// Note that duplicate Machine CFG edges are not allowed.
void addSuccessor(MachineBasicBlock *Succ,
BranchProbability Prob = BranchProbability::getUnknown());
void addSuccessor(MachineBasicBlock *Succ, uint32_t Weight = 0);
/// Add Succ as a successor of this MachineBasicBlock. The Predecessors list
/// of Succ is automatically updated. The weight is not provided because BPI
/// is not available (e.g. -O0 is used), in which case edge weights won't be
/// used. Using this interface can save some space.
void addSuccessorWithoutWeight(MachineBasicBlock *Succ);
/// Add Succ as a successor of this MachineBasicBlock. The Predecessors list
/// of Succ is automatically updated. PROB parameter is stored in
/// Probabilities list.
///
/// Note that duplicate Machine CFG edges are not allowed.
void addSuccessor(MachineBasicBlock *Succ, BranchProbability Prob);
/// Add Succ as a successor of this MachineBasicBlock. The Predecessors list
/// of Succ is automatically updated. The probability is not provided because
@ -450,6 +467,9 @@ public:
/// won't be used. Using this interface can save some space.
void addSuccessorWithoutProb(MachineBasicBlock *Succ);
/// Set successor weight of a given iterator.
void setSuccWeight(succ_iterator I, uint32_t Weight);
/// Set successor probability of a given iterator.
void setSuccProbability(succ_iterator I, BranchProbability Prob);
@ -468,7 +488,7 @@ public:
/// Return the iterator to the element after the one removed.
succ_iterator removeSuccessor(succ_iterator I);
/// Replace successor OLD with NEW and update probability info.
/// Replace successor OLD with NEW and update weight info.
void replaceSuccessor(MachineBasicBlock *Old, MachineBasicBlock *New);
/// Transfers all the successors from MBB to this machine basic block (i.e.,
@ -480,6 +500,9 @@ public:
/// operands in the successor blocks which refer to FromMBB to refer to this.
void transferSuccessorsAndUpdatePHIs(MachineBasicBlock *FromMBB);
/// Return true if any of the successors have weights attached to them.
bool hasSuccessorWeights() const { return !Weights.empty(); }
/// Return true if any of the successors have probabilities attached to them.
bool hasSuccessorProbabilities() const { return !Probs.empty(); }
@ -736,6 +759,10 @@ public:
private:
/// Return weight iterator corresponding to the I successor iterator.
weight_iterator getWeightIterator(succ_iterator I);
const_weight_iterator getWeightIterator(const_succ_iterator I) const;
/// Return probability iterator corresponding to the I successor iterator.
probability_iterator getProbabilityIterator(succ_iterator I);
const_probability_iterator
@ -744,6 +771,11 @@ private:
friend class MachineBranchProbabilityInfo;
friend class MIPrinter;
/// Return weight of the edge from this block to MBB. This method should NOT
/// be called directly, but by using getEdgeWeight method from
/// MachineBranchProbabilityInfo class.
uint32_t getSuccWeight(const_succ_iterator Succ) const;
/// Return probability of the edge from this block to MBB. This method should
/// NOT be called directly, but by using getEdgeProbability method from
/// MachineBranchProbabilityInfo class.

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@ -55,15 +55,10 @@ public:
uint32_t getEdgeWeight(const MachineBasicBlock *Src,
MachineBasicBlock::const_succ_iterator Dst) const;
// Return edge probability.
BranchProbability getEdgeProbability(const MachineBasicBlock *Src,
const MachineBasicBlock *Dst) const;
// Same as above, but using a const_succ_iterator from Src. This is faster
// when the iterator is already available.
BranchProbability
getEdgeProbability(const MachineBasicBlock *Src,
MachineBasicBlock::const_succ_iterator Dst) const;
// Get sum of the block successors' weights, potentially scaling them to fit
// within 32-bits. If scaling is required, sets Scale based on the necessary
// adjustment. Any edge weights used with the sum should be divided by Scale.
uint32_t getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const;
// A 'Hot' edge is an edge which probability is >= 80%.
bool isEdgeHot(const MachineBasicBlock *Src,
@ -73,6 +68,15 @@ public:
// NB: This routine's complexity is linear on the number of successors.
MachineBasicBlock *getHotSucc(MachineBasicBlock *MBB) const;
// Return a probability as a fraction between 0 (0% probability) and
// 1 (100% probability), however the value is never equal to 0, and can be 1
// only iff SRC block has only one successor.
// NB: This routine's complexity is linear on the number of successors of
// Src. Querying sequentially for each successor's probability is a quadratic
// query pattern.
BranchProbability getEdgeProbability(const MachineBasicBlock *Src,
const MachineBasicBlock *Dst) const;
// Print value between 0 (0% probability) and 1 (100% probability),
// however the value is never equal to 0, and can be 1 only iff SRC block
// has only one successor.

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@ -53,9 +53,6 @@ public:
// Create a BranchProbability object with the given numerator and 1<<31
// as denominator.
static BranchProbability getRaw(uint32_t N) { return BranchProbability(N); }
// Create a BranchProbability object from 64-bit integers.
static BranchProbability getBranchProbability(uint64_t Numerator,
uint64_t Denominator);
// Normalize given probabilties so that the sum of them becomes approximate
// one.
@ -134,30 +131,10 @@ public:
bool operator==(BranchProbability RHS) const { return N == RHS.N; }
bool operator!=(BranchProbability RHS) const { return !(*this == RHS); }
bool operator<(BranchProbability RHS) const {
assert(N != UnknownN && RHS.N != UnknownN &&
"Unknown probability cannot participate in comparisons.");
return N < RHS.N;
}
bool operator>(BranchProbability RHS) const {
assert(N != UnknownN && RHS.N != UnknownN &&
"Unknown probability cannot participate in comparisons.");
return RHS < *this;
}
bool operator<=(BranchProbability RHS) const {
assert(N != UnknownN && RHS.N != UnknownN &&
"Unknown probability cannot participate in comparisons.");
return !(RHS < *this);
}
bool operator>=(BranchProbability RHS) const {
assert(N != UnknownN && RHS.N != UnknownN &&
"Unknown probability cannot participate in comparisons.");
return !(*this < RHS);
}
bool operator<(BranchProbability RHS) const { return N < RHS.N; }
bool operator>(BranchProbability RHS) const { return RHS < *this; }
bool operator<=(BranchProbability RHS) const { return !(RHS < *this); }
bool operator>=(BranchProbability RHS) const { return !(*this < RHS); }
};
inline raw_ostream &operator<<(raw_ostream &OS, BranchProbability Prob) {

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@ -647,12 +647,6 @@ getEdgeProbability(const BasicBlock *Src, const BasicBlock *Dst) const {
return BranchProbability(N, D);
}
BranchProbability
BranchProbabilityInfo::getEdgeProbability(const BasicBlock *Src,
succ_const_iterator Dst) const {
return getEdgeProbability(Src, Dst.getSuccessorIndex());
}
raw_ostream &
BranchProbabilityInfo::printEdgeProbability(raw_ostream &OS,
const BasicBlock *Src,

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@ -1099,16 +1099,13 @@ void BranchFolder::setCommonTailEdgeWeights(MachineBasicBlock &TailMBB) {
if (TailMBB.succ_size() <= 1)
return;
auto SumEdgeFreq =
std::accumulate(EdgeFreqLs.begin(), EdgeFreqLs.end(), BlockFrequency(0))
.getFrequency();
auto MaxEdgeFreq = *std::max_element(EdgeFreqLs.begin(), EdgeFreqLs.end());
uint64_t Scale = MaxEdgeFreq.getFrequency() / UINT32_MAX + 1;
auto EdgeFreq = EdgeFreqLs.begin();
for (auto SuccI = TailMBB.succ_begin(), SuccE = TailMBB.succ_end();
SuccI != SuccE; ++SuccI, ++EdgeFreq)
TailMBB.setSuccProbability(
SuccI, BranchProbability::getBranchProbability(EdgeFreq->getFrequency(),
SumEdgeFreq));
TailMBB.setSuccWeight(SuccI, EdgeFreq->getFrequency() / Scale);
}
//===----------------------------------------------------------------------===//

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@ -32,7 +32,6 @@
#include "llvm/Target/TargetLowering.h"
#include "llvm/Target/TargetRegisterInfo.h"
#include "llvm/Target/TargetSubtargetInfo.h"
#include <algorithm>
using namespace llvm;
@ -1152,6 +1151,28 @@ bool IfConverter::IfConvertSimple(BBInfo &BBI, IfcvtKind Kind) {
return true;
}
/// Scale down weights to fit into uint32_t. NewTrue is the new weight
/// for successor TrueBB, and NewFalse is the new weight for successor
/// FalseBB.
static void ScaleWeights(uint64_t NewTrue, uint64_t NewFalse,
MachineBasicBlock *MBB,
const MachineBasicBlock *TrueBB,
const MachineBasicBlock *FalseBB,
const MachineBranchProbabilityInfo *MBPI) {
uint64_t NewMax = (NewTrue > NewFalse) ? NewTrue : NewFalse;
uint32_t Scale = (NewMax / UINT32_MAX) + 1;
for (MachineBasicBlock::succ_iterator SI = MBB->succ_begin(),
SE = MBB->succ_end();
SI != SE; ++SI) {
if (*SI == TrueBB)
MBB->setSuccWeight(SI, (uint32_t)(NewTrue / Scale));
else if (*SI == FalseBB)
MBB->setSuccWeight(SI, (uint32_t)(NewFalse / Scale));
else
MBB->setSuccWeight(SI, MBPI->getEdgeWeight(MBB, SI) / Scale);
}
}
/// IfConvertTriangle - If convert a triangle sub-CFG.
///
bool IfConverter::IfConvertTriangle(BBInfo &BBI, IfcvtKind Kind) {
@ -1208,14 +1229,16 @@ bool IfConverter::IfConvertTriangle(BBInfo &BBI, IfcvtKind Kind) {
DontKill.clear();
bool HasEarlyExit = CvtBBI->FalseBB != nullptr;
BranchProbability CvtNext, CvtFalse, BBNext, BBCvt;
uint64_t CvtNext = 0, CvtFalse = 0, BBNext = 0, BBCvt = 0, SumWeight = 0;
uint32_t WeightScale = 0;
if (HasEarlyExit) {
// Get probabilities before modifying CvtBBI->BB and BBI.BB.
CvtNext = MBPI->getEdgeProbability(CvtBBI->BB, NextBBI->BB);
CvtFalse = MBPI->getEdgeProbability(CvtBBI->BB, CvtBBI->FalseBB);
BBNext = MBPI->getEdgeProbability(BBI.BB, NextBBI->BB);
BBCvt = MBPI->getEdgeProbability(BBI.BB, CvtBBI->BB);
// Get weights before modifying CvtBBI->BB and BBI.BB.
CvtNext = MBPI->getEdgeWeight(CvtBBI->BB, NextBBI->BB);
CvtFalse = MBPI->getEdgeWeight(CvtBBI->BB, CvtBBI->FalseBB);
BBNext = MBPI->getEdgeWeight(BBI.BB, NextBBI->BB);
BBCvt = MBPI->getEdgeWeight(BBI.BB, CvtBBI->BB);
SumWeight = MBPI->getSumForBlock(CvtBBI->BB, WeightScale);
}
if (CvtBBI->BB->pred_size() > 1) {
@ -1243,24 +1266,22 @@ bool IfConverter::IfConvertTriangle(BBInfo &BBI, IfcvtKind Kind) {
CvtBBI->BrCond.end());
if (TII->ReverseBranchCondition(RevCond))
llvm_unreachable("Unable to reverse branch condition!");
// Update the edge probability for both CvtBBI->FalseBB and NextBBI.
// NewNext = New_Prob(BBI.BB, NextBBI->BB) =
// Prob(BBI.BB, NextBBI->BB) +
// Prob(BBI.BB, CvtBBI->BB) * Prob(CvtBBI->BB, NextBBI->BB)
// NewFalse = New_Prob(BBI.BB, CvtBBI->FalseBB) =
// Prob(BBI.BB, CvtBBI->BB) * Prob(CvtBBI->BB, CvtBBI->FalseBB)
auto NewTrueBB = getNextBlock(BBI.BB);
auto NewNext = BBNext + BBCvt * CvtNext;
auto NewTrueBBIter =
std::find(BBI.BB->succ_begin(), BBI.BB->succ_end(), NewTrueBB);
assert(NewTrueBBIter != BBI.BB->succ_end() &&
"NewTrueBB is not a successor of BBI.BB.");
BBI.BB->setSuccProbability(NewTrueBBIter, NewNext);
auto NewFalse = BBCvt * CvtFalse;
TII->InsertBranch(*BBI.BB, CvtBBI->FalseBB, nullptr, RevCond, dl);
BBI.BB->addSuccessor(CvtBBI->FalseBB, NewFalse);
BBI.BB->addSuccessor(CvtBBI->FalseBB);
// Update the edge weight for both CvtBBI->FalseBB and NextBBI.
// New_Weight(BBI.BB, NextBBI->BB) =
// Weight(BBI.BB, NextBBI->BB) * getSumForBlock(CvtBBI->BB) +
// Weight(BBI.BB, CvtBBI->BB) * Weight(CvtBBI->BB, NextBBI->BB)
// New_Weight(BBI.BB, CvtBBI->FalseBB) =
// Weight(BBI.BB, CvtBBI->BB) * Weight(CvtBBI->BB, CvtBBI->FalseBB)
uint64_t NewNext = BBNext * SumWeight + (BBCvt * CvtNext) / WeightScale;
uint64_t NewFalse = (BBCvt * CvtFalse) / WeightScale;
// We need to scale down all weights of BBI.BB to fit uint32_t.
// Here BBI.BB is connected to CvtBBI->FalseBB and will fall through to
// the next block.
ScaleWeights(NewNext, NewFalse, BBI.BB, getNextBlock(BBI.BB),
CvtBBI->FalseBB, MBPI);
}
// Merge in the 'false' block if the 'false' block has no other
@ -1503,7 +1524,7 @@ bool IfConverter::IfConvertDiamond(BBInfo &BBI, IfcvtKind Kind,
MergeBlocks(BBI, TailBBI);
TailBBI.IsDone = true;
} else {
BBI.BB->addSuccessor(TailBB, BranchProbability::getOne());
BBI.BB->addSuccessor(TailBB);
InsertUncondBranch(BBI.BB, TailBB, TII);
BBI.HasFallThrough = false;
}
@ -1667,26 +1688,21 @@ void IfConverter::MergeBlocks(BBInfo &ToBBI, BBInfo &FromBBI, bool AddEdges) {
FromBBI.BB->succ_end());
MachineBasicBlock *NBB = getNextBlock(FromBBI.BB);
MachineBasicBlock *FallThrough = FromBBI.HasFallThrough ? NBB : nullptr;
// The edge probability from ToBBI.BB to FromBBI.BB, which is only needed when
// AddEdges is true and FromBBI.BB is a successor of ToBBI.BB.
auto To2FromProb = BranchProbability::getZero();
if (AddEdges && ToBBI.BB->isSuccessor(FromBBI.BB)) {
To2FromProb = MBPI->getEdgeProbability(ToBBI.BB, FromBBI.BB);
// Set the edge probability from ToBBI.BB to FromBBI.BB to zero to avoid the
// edge probability being merged to other edges when this edge is removed
// later.
ToBBI.BB->setSuccProbability(
std::find(ToBBI.BB->succ_begin(), ToBBI.BB->succ_end(), FromBBI.BB),
BranchProbability::getZero());
}
// The edge weight from ToBBI.BB to FromBBI.BB, which is only needed when
// AddEdges is true and FromBBI.BB is a successor of ToBBI.BB.
uint32_t To2FromWeight = 0;
// WeightScale and SumWeight are for calculating successor probabilities of
// FromBBI.BB.
uint32_t WeightScale = 0;
uint32_t SumWeight = 0;
if (AddEdges && ToBBI.BB->isSuccessor(FromBBI.BB)) {
// Set the edge probability from ToBBI.BB to FromBBI.BB to zero to avoid the
// edge probability being merged to other edges when this edge is removed
// later.
ToBBI.BB->setSuccProbability(
std::find(ToBBI.BB->succ_begin(), ToBBI.BB->succ_end(), FromBBI.BB),
BranchProbability::getZero());
To2FromWeight = MBPI->getEdgeWeight(ToBBI.BB, FromBBI.BB);
// Set the edge weight from ToBBI.BB to FromBBI.BB to zero to avoid the edge
// weight being merged to other edges when this edge is removed later.
ToBBI.BB->setSuccWeight(
std::find(ToBBI.BB->succ_begin(), ToBBI.BB->succ_end(), FromBBI.BB), 0);
SumWeight = MBPI->getSumForBlock(FromBBI.BB, WeightScale);
}
for (unsigned i = 0, e = FromSuccs.size(); i != e; ++i) {
@ -1695,38 +1711,39 @@ void IfConverter::MergeBlocks(BBInfo &ToBBI, BBInfo &FromBBI, bool AddEdges) {
if (Succ == FallThrough)
continue;
auto NewProb = BranchProbability::getZero();
uint32_t NewWeight = 0;
if (AddEdges) {
// Calculate the edge probability for the edge from ToBBI.BB to Succ,
// which is a portion of the edge probability from FromBBI.BB to Succ. The
// portion ratio is the edge probability from ToBBI.BB to FromBBI.BB (if
// FromBBI is a successor of ToBBI.BB. See comment below for excepion).
NewProb = MBPI->getEdgeProbability(FromBBI.BB, Succ);
// Calculate the edge weight for the edge from ToBBI.BB to Succ, which is
// a portion of the edge weight from FromBBI.BB to Succ. The portion ratio
// is the edge probability from ToBBI.BB to FromBBI.BB (if FromBBI is a
// successor of ToBBI.BB. See comment below for excepion).
NewWeight = MBPI->getEdgeWeight(FromBBI.BB, Succ);
// To2FromProb is 0 when FromBBI.BB is not a successor of ToBBI.BB. This
// To2FromWeight is 0 when FromBBI.BB is not a successor of ToBBI.BB. This
// only happens when if-converting a diamond CFG and FromBBI.BB is the
// tail BB. In this case FromBBI.BB post-dominates ToBBI.BB and hence we
// could just use the probabilities on FromBBI.BB's out-edges when adding
// new successors.
if (!To2FromProb.isZero())
NewProb *= To2FromProb;
// could just use the weights on FromBBI.BB's out-edges when adding new
// successors.
if (To2FromWeight > 0) {
BranchProbability Prob(NewWeight / WeightScale, SumWeight);
NewWeight = Prob.scale(To2FromWeight);
}
}
FromBBI.BB->removeSuccessor(Succ);
if (AddEdges) {
// If the edge from ToBBI.BB to Succ already exists, update the
// probability of this edge by adding NewWeight to it. An example is shown
// below, in which A is ToBBI.BB and B is FromBBI.BB. In this case we
// don't have to set C as A's successor as it already is. We only need to
// update the edge probability on A->C. Note that B will not be
// immediately removed from A's successors. It is possible that B->D is
// not removed either if D is a fallthrough of B. Later the edge A->D
// (generated here) and B->D will be combined into one edge. To maintain
// correct edge probability of this combined edge, we need to set the edge
// probability of A->B to zero, which is already done above. The edge
// probability on A->D is calculated by scaling the original probability
// on A->B by the probability of B->D.
// If the edge from ToBBI.BB to Succ already exists, update the weight of
// this edge by adding NewWeight to it. An example is shown below, in
// which A is ToBBI.BB and B is FromBBI.BB. In this case we don't have to
// set C as A's successor as it already is. We only need to update the
// edge weight on A->C. Note that B will not be immediately removed from
// A's successors. It is possible that B->D is not removed either if D is
// a fallthrough of B. Later the edge A->D (generated here) and B->D will
// be combined into one edge. To maintain correct edge weight of this
// combined edge, we need to set the edge weight of A->B to zero, which is
// already done above. The edge weight on A->D is calculated by scaling
// the original weight on A->B by the probability of B->D.
//
// Before ifcvt: After ifcvt (assume B->D is kept):
//
@ -1738,11 +1755,11 @@ void IfConverter::MergeBlocks(BBInfo &ToBBI, BBInfo &FromBBI, bool AddEdges) {
// C D C D
//
if (ToBBI.BB->isSuccessor(Succ))
ToBBI.BB->setSuccProbability(
ToBBI.BB->setSuccWeight(
std::find(ToBBI.BB->succ_begin(), ToBBI.BB->succ_end(), Succ),
MBPI->getEdgeProbability(ToBBI.BB, Succ) + NewProb);
MBPI->getEdgeWeight(ToBBI.BB, Succ) + NewWeight);
else
ToBBI.BB->addSuccessor(Succ, NewProb);
ToBBI.BB->addSuccessor(Succ, NewWeight);
}
}

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@ -459,9 +459,8 @@ bool MIParser::parseBasicBlockSuccessors(MachineBasicBlock &MBB) {
if (expectAndConsume(MIToken::rparen))
return true;
}
MBB.addSuccessor(SuccMBB, BranchProbability::getRaw(Weight));
MBB.addSuccessor(SuccMBB, Weight);
} while (consumeIfPresent(MIToken::comma));
MBB.normalizeSuccProbs();
return false;
}

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@ -461,8 +461,8 @@ void MIPrinter::print(const MachineBasicBlock &MBB) {
if (I != MBB.succ_begin())
OS << ", ";
printMBBReference(**I);
if (MBB.hasSuccessorProbabilities())
OS << '(' << MBB.getSuccProbability(I) << ')';
if (MBB.hasSuccessorWeights())
OS << '(' << MBB.getSuccWeight(I) << ')';
}
OS << "\n";
HasLineAttributes = true;

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@ -319,8 +319,8 @@ void MachineBasicBlock::print(raw_ostream &OS, ModuleSlotTracker &MST,
OS << " Successors according to CFG:";
for (const_succ_iterator SI = succ_begin(), E = succ_end(); SI != E; ++SI) {
OS << " BB#" << (*SI)->getNumber();
if (!Probs.empty())
OS << '(' << *getProbabilityIterator(SI) << ')';
if (!Weights.empty())
OS << '(' << *getWeightIterator(SI) << ')';
}
OS << '\n';
}
@ -506,16 +506,34 @@ void MachineBasicBlock::updateTerminator() {
}
}
void MachineBasicBlock::addSuccessor(MachineBasicBlock *Succ, uint32_t Weight) {
// Weight list is either empty (if successor list isn't empty, this means
// disabled optimization) or has the same size as successor list.
if (!(Weights.empty() && !Successors.empty()))
Weights.push_back(Weight);
Successors.push_back(Succ);
Succ->addPredecessor(this);
}
void MachineBasicBlock::addSuccessorWithoutWeight(MachineBasicBlock *Succ) {
// We need to make sure weight list is either empty or has the same size of
// successor list. When this function is called, we can safely delete all
// weight in the list.
Weights.clear();
Successors.push_back(Succ);
Succ->addPredecessor(this);
}
void MachineBasicBlock::addSuccessor(MachineBasicBlock *Succ,
BranchProbability Prob) {
// Probability list is either empty (if successor list isn't empty, this means
// disabled optimization) or has the same size as successor list.
if (!(Probs.empty() && !Successors.empty())) {
assert((Probs.empty() || (Prob.isUnknown() && Probs.back().isUnknown()) ||
(!Prob.isUnknown() && !Probs.back().isUnknown())) &&
"Successors with both known and unknwon probabilities are not "
"allowed.");
Probs.push_back(Prob);
// FIXME: Temporarily use the numerator of the probability to represent edge
// weight. This will be removed once all weight-version interfaces in MBB
// are replaced with probability-version interfaces.
Weights.push_back(Prob.getNumerator());
}
Successors.push_back(Succ);
Succ->addPredecessor(this);
@ -526,6 +544,7 @@ void MachineBasicBlock::addSuccessorWithoutProb(MachineBasicBlock *Succ) {
// of successor list. When this function is called, we can safely delete all
// probability in the list.
Probs.clear();
Weights.clear();
Successors.push_back(Succ);
Succ->addPredecessor(this);
}
@ -539,12 +558,23 @@ MachineBasicBlock::succ_iterator
MachineBasicBlock::removeSuccessor(succ_iterator I) {
assert(I != Successors.end() && "Not a current successor!");
// If Weight list is empty it means we don't use it (disabled optimization).
if (!Weights.empty()) {
weight_iterator WI = getWeightIterator(I);
Weights.erase(WI);
}
// FIXME: Temporarily comment the following code as probabilities are now only
// used during instruction lowering, but this interface is called in later
// passes. Uncomment it once all edge weights are replaced with probabilities.
#if 0
// If probability list is empty it means we don't use it (disabled
// optimization).
if (!Probs.empty()) {
probability_iterator WI = getProbabilityIterator(I);
Probs.erase(WI);
}
#endif
(*I)->removePredecessor(this);
return Successors.erase(I);
@ -581,12 +611,17 @@ void MachineBasicBlock::replaceSuccessor(MachineBasicBlock *Old,
}
// New is already a successor.
// Update its weight instead of adding a duplicate edge.
if (!Weights.empty())
*getWeightIterator(NewI) += *getWeightIterator(OldI);
// FIXME: Temporarily comment the following code as probabilities are now only
// used during instruction lowering, but this interface is called in later
// passes. Uncomment it once all edge weights are replaced with probabilities.
#if 0
// Update its probability instead of adding a duplicate edge.
if (!Probs.empty()) {
auto ProbIter = getProbabilityIterator(NewI);
if (!ProbIter->isUnknown())
*ProbIter += *getProbabilityIterator(OldI);
}
if (!Probs.empty())
*getProbabilityIterator(NewI) += *getProbabilityIterator(OldI);
#endif
removeSuccessor(OldI);
}
@ -606,14 +641,13 @@ void MachineBasicBlock::transferSuccessors(MachineBasicBlock *FromMBB) {
while (!FromMBB->succ_empty()) {
MachineBasicBlock *Succ = *FromMBB->succ_begin();
uint32_t Weight = 0;
// If probability list is empty it means we don't use it (disabled optimization).
if (!FromMBB->Probs.empty()) {
auto Prob = *FromMBB->Probs.begin();
addSuccessor(Succ, Prob);
} else
addSuccessorWithoutProb(Succ);
// If Weight list is empty it means we don't use it (disabled optimization).
if (!FromMBB->Weights.empty())
Weight = *FromMBB->Weights.begin();
addSuccessor(Succ, Weight);
FromMBB->removeSuccessor(Succ);
}
}
@ -625,11 +659,10 @@ MachineBasicBlock::transferSuccessorsAndUpdatePHIs(MachineBasicBlock *FromMBB) {
while (!FromMBB->succ_empty()) {
MachineBasicBlock *Succ = *FromMBB->succ_begin();
if (!FromMBB->Probs.empty()) {
auto Prob = *FromMBB->Probs.begin();
addSuccessor(Succ, Prob);
} else
addSuccessorWithoutProb(Succ);
uint32_t Weight = 0;
if (!FromMBB->Weights.empty())
Weight = *FromMBB->Weights.begin();
addSuccessor(Succ, Weight);
FromMBB->removeSuccessor(Succ);
// Fix up any PHI nodes in the successor.
@ -1113,37 +1146,80 @@ MachineBasicBlock::findDebugLoc(instr_iterator MBBI) {
return DL;
}
/// Return probability of the edge from this block to MBB.
/// Return weight of the edge from this block to MBB.
uint32_t MachineBasicBlock::getSuccWeight(const_succ_iterator Succ) const {
if (Weights.empty())
return 0;
return *getWeightIterator(Succ);
}
/// Return probability of the edge from this block to MBB. If probability list
/// is empty, return a default probability which is 1/N, where N is the number
/// of successors. If the probability of the given successor is unknown, then
/// sum up all known probabilities and return the complement of the sum divided
/// by the number of unknown probabilities.
BranchProbability
MachineBasicBlock::getSuccProbability(const_succ_iterator Succ) const {
if (Probs.empty() || Probs.back().isUnknown())
if (Probs.empty())
return BranchProbability(1, succ_size());
return *getProbabilityIterator(Succ);
auto Prob = *getProbabilityIterator(Succ);
assert(!Prob.isUnknown());
return Prob;
}
/// Set successor weight of a given iterator.
void MachineBasicBlock::setSuccWeight(succ_iterator I, uint32_t Weight) {
if (Weights.empty())
return;
*getWeightIterator(I) = Weight;
}
/// Set successor probability of a given iterator.
void MachineBasicBlock::setSuccProbability(succ_iterator I,
BranchProbability Prob) {
assert(!Prob.isUnknown());
if (Probs.empty())
if (Probs.empty() || Weights.empty())
return;
*getProbabilityIterator(I) = Prob;
// FIXME: Temporarily use the numerator of the probability to represent edge
// weight. This will be removed once all weight-version interfaces in MBB
// are replaces with probability-version interfaces.
*getWeightIterator(I) = Prob.getNumerator();
}
/// Return probability iterator corresonding to the I successor iterator
MachineBasicBlock::const_probability_iterator
MachineBasicBlock::getProbabilityIterator(
MachineBasicBlock::const_succ_iterator I) const {
/// Return wight iterator corresonding to the I successor iterator.
MachineBasicBlock::weight_iterator MachineBasicBlock::
getWeightIterator(MachineBasicBlock::succ_iterator I) {
assert(Weights.size() == Successors.size() && "Async weight list!");
size_t index = std::distance(Successors.begin(), I);
assert(index < Weights.size() && "Not a current successor!");
return Weights.begin() + index;
}
/// Return wight iterator corresonding to the I successor iterator.
MachineBasicBlock::const_weight_iterator MachineBasicBlock::
getWeightIterator(MachineBasicBlock::const_succ_iterator I) const {
assert(Weights.size() == Successors.size() && "Async weight list!");
const size_t index = std::distance(Successors.begin(), I);
assert(index < Weights.size() && "Not a current successor!");
return Weights.begin() + index;
}
/// Return probability iterator corresonding to the I successor iterator.
MachineBasicBlock::probability_iterator
MachineBasicBlock::getProbabilityIterator(MachineBasicBlock::succ_iterator I) {
assert(Probs.size() == Successors.size() && "Async probability list!");
const size_t index = std::distance(Successors.begin(), I);
assert(index < Probs.size() && "Not a current successor!");
return Probs.begin() + index;
}
/// Return probability iterator corresonding to the I successor iterator.
MachineBasicBlock::probability_iterator
MachineBasicBlock::getProbabilityIterator(MachineBasicBlock::succ_iterator I) {
/// Return probability iterator corresonding to the I successor iterator
MachineBasicBlock::const_probability_iterator
MachineBasicBlock::getProbabilityIterator(
MachineBasicBlock::const_succ_iterator I) const {
assert(Probs.size() == Successors.size() && "Async probability list!");
const size_t index = std::distance(Successors.begin(), I);
assert(index < Probs.size() && "Not a current successor!");

View File

@ -380,11 +380,19 @@ MachineBlockPlacement::selectBestSuccessor(MachineBasicBlock *BB,
const BranchProbability HotProb(4, 5); // 80%
MachineBasicBlock *BestSucc = nullptr;
auto BestProb = BranchProbability::getZero();
// FIXME: Due to the performance of the probability and weight routines in
// the MBPI analysis, we manually compute probabilities using the edge
// weights. This is suboptimal as it means that the somewhat subtle
// definition of edge weight semantics is encoded here as well. We should
// improve the MBPI interface to efficiently support query patterns such as
// this.
uint32_t BestWeight = 0;
uint32_t WeightScale = 0;
uint32_t SumWeight = MBPI->getSumForBlock(BB, WeightScale);
// Adjust edge probabilities by excluding edges pointing to blocks that is
// either not in BlockFilter or is already in the current chain. Consider the
// following CFG:
// Adjust sum of weights by excluding weights on edges pointing to blocks that
// is either not in BlockFilter or is already in the current chain. Consider
// the following CFG:
//
// --->A
// | / \
@ -398,7 +406,7 @@ MachineBlockPlacement::selectBestSuccessor(MachineBasicBlock *BB,
// HotProb). If we exclude E that is not in BlockFilter when calculating the
// probability of C->D, D will be selected and we will get A C D B as the
// layout of this loop.
auto AdjustedSumProb = BranchProbability::getOne();
uint32_t AdjustedSumWeight = SumWeight;
SmallVector<MachineBasicBlock *, 4> Successors;
for (MachineBasicBlock *Succ : BB->successors()) {
bool SkipSucc = false;
@ -416,20 +424,15 @@ MachineBlockPlacement::selectBestSuccessor(MachineBasicBlock *BB,
}
}
if (SkipSucc)
AdjustedSumProb -= MBPI->getEdgeProbability(BB, Succ);
AdjustedSumWeight -= MBPI->getEdgeWeight(BB, Succ) / WeightScale;
else
Successors.push_back(Succ);
}
DEBUG(dbgs() << "Attempting merge from: " << getBlockName(BB) << "\n");
for (MachineBasicBlock *Succ : Successors) {
BranchProbability SuccProb;
uint32_t SuccProbN = MBPI->getEdgeProbability(BB, Succ).getNumerator();
uint32_t SuccProbD = AdjustedSumProb.getNumerator();
if (SuccProbN >= SuccProbD)
SuccProb = BranchProbability::getOne();
else
SuccProb = BranchProbability(SuccProbN, SuccProbD);
uint32_t SuccWeight = MBPI->getEdgeWeight(BB, Succ);
BranchProbability SuccProb(SuccWeight / WeightScale, AdjustedSumWeight);
// If we outline optional branches, look whether Succ is unavoidable, i.e.
// dominates all terminators of the MachineFunction. If it does, other
@ -467,7 +470,7 @@ MachineBlockPlacement::selectBestSuccessor(MachineBasicBlock *BB,
// Make sure that a hot successor doesn't have a globally more
// important predecessor.
auto RealSuccProb = MBPI->getEdgeProbability(BB, Succ);
BranchProbability RealSuccProb(SuccWeight / WeightScale, SumWeight);
BlockFrequency CandidateEdgeFreq =
MBFI->getBlockFreq(BB) * RealSuccProb * HotProb.getCompl();
bool BadCFGConflict = false;
@ -493,10 +496,10 @@ MachineBlockPlacement::selectBestSuccessor(MachineBasicBlock *BB,
<< " (prob)"
<< (SuccChain.LoopPredecessors != 0 ? " (CFG break)" : "")
<< "\n");
if (BestSucc && BestProb >= SuccProb)
if (BestSucc && BestWeight >= SuccWeight)
continue;
BestSucc = Succ;
BestProb = SuccProb;
BestWeight = SuccWeight;
}
return BestSucc;
}
@ -725,6 +728,11 @@ MachineBlockPlacement::findBestLoopExit(MachineFunction &F, MachineLoop &L,
MachineBasicBlock *OldExitingBB = ExitingBB;
BlockFrequency OldBestExitEdgeFreq = BestExitEdgeFreq;
bool HasLoopingSucc = false;
// FIXME: Due to the performance of the probability and weight routines in
// the MBPI analysis, we use the internal weights and manually compute the
// probabilities to avoid quadratic behavior.
uint32_t WeightScale = 0;
uint32_t SumWeight = MBPI->getSumForBlock(MBB, WeightScale);
for (MachineBasicBlock *Succ : MBB->successors()) {
if (Succ->isEHPad())
continue;
@ -738,10 +746,10 @@ MachineBlockPlacement::findBestLoopExit(MachineFunction &F, MachineLoop &L,
continue;
}
auto SuccProb = MBPI->getEdgeProbability(MBB, Succ);
uint32_t SuccWeight = MBPI->getEdgeWeight(MBB, Succ);
if (LoopBlockSet.count(Succ)) {
DEBUG(dbgs() << " looping: " << getBlockName(MBB) << " -> "
<< getBlockName(Succ) << " (" << SuccProb << ")\n");
<< getBlockName(Succ) << " (" << SuccWeight << ")\n");
HasLoopingSucc = true;
continue;
}
@ -753,6 +761,7 @@ MachineBlockPlacement::findBestLoopExit(MachineFunction &F, MachineLoop &L,
BlocksExitingToOuterLoop.insert(MBB);
}
BranchProbability SuccProb(SuccWeight / WeightScale, SumWeight);
BlockFrequency ExitEdgeFreq = MBFI->getBlockFreq(MBB) * SuccProb;
DEBUG(dbgs() << " exiting: " << getBlockName(MBB) << " -> "
<< getBlockName(Succ) << " [L:" << SuccLoopDepth << "] (";
@ -895,17 +904,21 @@ void MachineBlockPlacement::rotateLoopWithProfile(
// edge from the tail of the loop chain.
SmallVector<std::pair<MachineBasicBlock *, BlockFrequency>, 4> ExitsWithFreq;
for (auto BB : LoopChain) {
auto LargestExitEdgeProb = BranchProbability::getZero();
uint32_t LargestExitEdgeWeight = 0;
for (auto *Succ : BB->successors()) {
BlockChain *SuccChain = BlockToChain[Succ];
if (!LoopBlockSet.count(Succ) &&
(!SuccChain || Succ == *SuccChain->begin())) {
auto SuccProb = MBPI->getEdgeProbability(BB, Succ);
LargestExitEdgeProb = std::max(LargestExitEdgeProb, SuccProb);
uint32_t SuccWeight = MBPI->getEdgeWeight(BB, Succ);
LargestExitEdgeWeight = std::max(LargestExitEdgeWeight, SuccWeight);
}
}
if (LargestExitEdgeProb > BranchProbability::getZero()) {
auto ExitFreq = MBFI->getBlockFreq(BB) * LargestExitEdgeProb;
if (LargestExitEdgeWeight > 0) {
uint32_t WeightScale = 0;
uint32_t SumWeight = MBPI->getSumForBlock(BB, WeightScale);
auto ExitFreq =
MBFI->getBlockFreq(BB) *
BranchProbability(LargestExitEdgeWeight / WeightScale, SumWeight);
ExitsWithFreq.emplace_back(BB, ExitFreq);
}
}
@ -1277,16 +1290,14 @@ void MachineBlockPlacement::buildCFGChains(MachineFunction &F) {
}
// If PrevBB has a two-way branch, try to re-order the branches
// such that we branch to the successor with higher probability first.
// such that we branch to the successor with higher weight first.
if (TBB && !Cond.empty() && FBB &&
MBPI->getEdgeProbability(PrevBB, FBB) >
MBPI->getEdgeProbability(PrevBB, TBB) &&
MBPI->getEdgeWeight(PrevBB, FBB) > MBPI->getEdgeWeight(PrevBB, TBB) &&
!TII->ReverseBranchCondition(Cond)) {
DEBUG(dbgs() << "Reverse order of the two branches: "
<< getBlockName(PrevBB) << "\n");
DEBUG(dbgs() << " Edge probability: "
<< MBPI->getEdgeProbability(PrevBB, FBB) << " vs "
<< MBPI->getEdgeProbability(PrevBB, TBB) << "\n");
DEBUG(dbgs() << " Edge weight: " << MBPI->getEdgeWeight(PrevBB, FBB)
<< " vs " << MBPI->getEdgeWeight(PrevBB, TBB) << "\n");
DebugLoc dl; // FIXME: this is nowhere
TII->RemoveBranch(*PrevBB);
TII->InsertBranch(*PrevBB, FBB, TBB, Cond, dl);

View File

@ -28,61 +28,91 @@ char MachineBranchProbabilityInfo::ID = 0;
void MachineBranchProbabilityInfo::anchor() { }
uint32_t MachineBranchProbabilityInfo::getEdgeWeight(
const MachineBasicBlock *Src,
MachineBasicBlock::const_succ_iterator Dst) const {
return Src->getSuccProbability(Dst).getNumerator();
uint32_t MachineBranchProbabilityInfo::
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.
assert(MBB->succ_size() < UINT32_MAX);
uint64_t Sum = 0;
Scale = 1;
for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(),
E = MBB->succ_end(); I != E; ++I) {
uint32_t Weight = getEdgeWeight(MBB, I);
Sum += Weight;
}
// If the computed sum fits in 32-bits, we're done.
if (Sum <= UINT32_MAX)
return Sum;
// Otherwise, compute the scale necessary to cause the weights to fit, and
// re-sum with that scale applied.
assert((Sum / UINT32_MAX) < UINT32_MAX);
Scale = (Sum / UINT32_MAX) + 1;
Sum = 0;
for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(),
E = MBB->succ_end(); I != E; ++I) {
uint32_t Weight = getEdgeWeight(MBB, I);
Sum += Weight / Scale;
}
assert(Sum <= UINT32_MAX);
return Sum;
}
uint32_t MachineBranchProbabilityInfo::getEdgeWeight(
const MachineBasicBlock *Src, const 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));
}
BranchProbability MachineBranchProbabilityInfo::getEdgeProbability(
const MachineBasicBlock *Src,
MachineBasicBlock::const_succ_iterator Dst) const {
return Src->getSuccProbability(Dst);
}
BranchProbability MachineBranchProbabilityInfo::getEdgeProbability(
const MachineBasicBlock *Src, const MachineBasicBlock *Dst) const {
// This is a linear search. Try to use the const_succ_iterator version when
// possible.
return getEdgeProbability(Src,
std::find(Src->succ_begin(), Src->succ_end(), Dst));
}
bool
MachineBranchProbabilityInfo::isEdgeHot(const MachineBasicBlock *Src,
const MachineBasicBlock *Dst) const {
// Hot probability is at least 4/5 = 80%
static BranchProbability HotProb(4, 5);
return getEdgeProbability(Src, Dst) > HotProb;
// FIXME: Compare against a static "hot" BranchProbability.
return getEdgeProbability(Src, Dst) > BranchProbability(4, 5);
}
MachineBasicBlock *
MachineBranchProbabilityInfo::getHotSucc(MachineBasicBlock *MBB) const {
auto MaxProb = BranchProbability::getZero();
uint32_t MaxWeight = 0;
MachineBasicBlock *MaxSucc = nullptr;
for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(),
E = MBB->succ_end(); I != E; ++I) {
auto Prob = getEdgeProbability(MBB, I);
if (Prob > MaxProb) {
MaxProb = Prob;
uint32_t Weight = getEdgeWeight(MBB, I);
if (Weight > MaxWeight) {
MaxWeight = Weight;
MaxSucc = *I;
}
}
static BranchProbability HotProb(4, 5);
if (getEdgeProbability(MBB, MaxSucc) >= HotProb)
if (getEdgeProbability(MBB, MaxSucc) >= BranchProbability(4, 5))
return MaxSucc;
return nullptr;
}
BranchProbability MachineBranchProbabilityInfo::getEdgeProbability(
const MachineBasicBlock *Src, const MachineBasicBlock *Dst) const {
uint32_t Scale = 1;
uint32_t D = getSumForBlock(Src, Scale);
uint32_t N = getEdgeWeight(Src, Dst) / Scale;
return BranchProbability(N, D);
}
raw_ostream &MachineBranchProbabilityInfo::printEdgeProbability(
raw_ostream &OS, const MachineBasicBlock *Src,
const MachineBasicBlock *Dst) const {

View File

@ -745,12 +745,12 @@ TailDuplicatePass::duplicateSimpleBB(MachineBasicBlock *TailBB,
if (PredTBB)
TII->InsertBranch(*PredBB, PredTBB, PredFBB, PredCond, DebugLoc());
auto Prob = MBPI->getEdgeProbability(PredBB, TailBB);
uint32_t Weight = MBPI->getEdgeWeight(PredBB, TailBB);
PredBB->removeSuccessor(TailBB);
unsigned NumSuccessors = PredBB->succ_size();
assert(NumSuccessors <= 1);
if (NumSuccessors == 0 || *PredBB->succ_begin() != NewTarget)
PredBB->addSuccessor(NewTarget, Prob);
PredBB->addSuccessor(NewTarget, Weight);
TDBBs.push_back(PredBB);
}
@ -858,7 +858,7 @@ TailDuplicatePass::TailDuplicate(MachineBasicBlock *TailBB,
"TailDuplicate called on block with multiple successors!");
for (MachineBasicBlock::succ_iterator I = TailBB->succ_begin(),
E = TailBB->succ_end(); I != E; ++I)
PredBB->addSuccessor(*I, MBPI->getEdgeProbability(TailBB, I));
PredBB->addSuccessor(*I, MBPI->getEdgeWeight(TailBB, I));
Changed = true;
++NumTailDups;

View File

@ -22,14 +22,11 @@ using namespace llvm;
const uint32_t BranchProbability::D;
raw_ostream &BranchProbability::print(raw_ostream &OS) const {
if (isUnknown())
return OS << "?%";
// Get a percentage rounded to two decimal digits. This avoids
// implementation-defined rounding inside printf.
double Percent = rint(((double)N / D) * 100.0 * 100.0) / 100.0;
return OS << format("0x%08" PRIx32 " / 0x%08" PRIx32 " = %.2f%%", N, D,
Percent);
OS << format("0x%08" PRIx32 " / 0x%08" PRIx32 " = %.2f%%", N, D, Percent);
return OS;
}
void BranchProbability::dump() const { print(dbgs()) << '\n'; }
@ -46,19 +43,6 @@ BranchProbability::BranchProbability(uint32_t Numerator, uint32_t Denominator) {
}
}
BranchProbability
BranchProbability::getBranchProbability(uint64_t Numerator,
uint64_t Denominator) {
assert(Numerator <= Denominator && "Probability cannot be bigger than 1!");
// Scale down Denominator to fit in a 32-bit integer.
int Scale = 0;
while (Denominator > UINT32_MAX) {
Denominator >>= 1;
Scale++;
}
return BranchProbability(Numerator >> Scale, Denominator);
}
// If ConstD is not zero, then replace D by ConstD so that division and modulo
// operations by D can be optimized, in case this function is not inlined by the
// compiler.

View File

@ -1570,7 +1570,8 @@ void AMDGPUCFGStructurizer::mergeLooplandBlock(MachineBasicBlock *DstBlk,
insertInstrBefore(DstBlk, AMDGPU::WHILELOOP, DebugLoc());
insertInstrEnd(DstBlk, AMDGPU::ENDLOOP, DebugLoc());
DstBlk->replaceSuccessor(DstBlk, LandMBB);
DstBlk->addSuccessor(LandMBB);
DstBlk->removeSuccessor(DstBlk);
}
@ -1665,7 +1666,8 @@ AMDGPUCFGStructurizer::cloneBlockForPredecessor(MachineBasicBlock *MBB,
replaceInstrUseOfBlockWith(PredMBB, MBB, CloneMBB);
//srcBlk, oldBlk, newBlk
PredMBB->replaceSuccessor(MBB, CloneMBB);
PredMBB->removeSuccessor(MBB);
PredMBB->addSuccessor(CloneMBB);
// add all successor to cloneBlk
cloneSuccessorList(CloneMBB, MBB);

View File

@ -2274,7 +2274,8 @@ adjustJTTargetBlockForward(MachineBasicBlock *BB, MachineBasicBlock *JTBB) {
// Update the CFG.
NewBB->addSuccessor(BB);
JTBB->replaceSuccessor(BB, NewBB);
JTBB->removeSuccessor(BB);
JTBB->addSuccessor(NewBB);
++NumJTInserted;
return NewBB;

View File

@ -7346,7 +7346,7 @@ void ARMTargetLowering::EmitSjLjDispatchBlock(MachineInstr *MI,
}
}
BB->addSuccessor(DispatchBB, BranchProbability::getZero());
BB->addSuccessor(DispatchBB);
// Find the invoke call and mark all of the callee-saved registers as
// 'implicit defined' so that they're spilled. This prevents code from

View File

@ -186,11 +186,13 @@ bool HexagonCFGOptimizer::runOnMachineFunction(MachineFunction &Fn) {
if (case1 || case2) {
InvertAndChangeJumpTarget(MI, UncondTarget);
MBB->replaceSuccessor(JumpAroundTarget, UncondTarget);
MBB->removeSuccessor(JumpAroundTarget);
MBB->addSuccessor(UncondTarget);
// Remove the unconditional branch in LayoutSucc.
LayoutSucc->erase(LayoutSucc->begin());
LayoutSucc->replaceSuccessor(UncondTarget, JumpAroundTarget);
LayoutSucc->removeSuccessor(UncondTarget);
LayoutSucc->addSuccessor(JumpAroundTarget);
// This code performs the conversion for case 2, which moves
// the block to the fall-thru case (BB3 in the code above).

View File

@ -262,7 +262,8 @@ void MipsLongBranch::expandToLongBranch(MBBInfo &I) {
static_cast<const MipsInstrInfo *>(Subtarget.getInstrInfo());
MF->insert(FallThroughMBB, LongBrMBB);
MBB->replaceSuccessor(TgtMBB, LongBrMBB);
MBB->removeSuccessor(TgtMBB);
MBB->addSuccessor(LongBrMBB);
if (IsPIC) {
MachineBasicBlock *BalTgtMBB = MF->CreateMachineBasicBlock(BB);

View File

@ -14,15 +14,15 @@ entry:
br i1 undef, label %for.end, label %for.body
; Before if conversion, we have
; for.body -> lor.lhs.false.i (50%)
; -> for.cond.backedge (50%)
; lor.lhs.false.i -> for.cond.backedge (100%)
; -> cond.false.i (0%)
; for.body -> lor.lhs.false.i (62)
; -> for.cond.backedge (62)
; lor.lhs.false.i -> for.cond.backedge (1048575)
; -> cond.false.i (1)
; Afer if conversion, we have
; for.body -> for.cond.backedge (100%)
; -> cond.false.i (0%)
; for.body -> for.cond.backedge (130023362)
; -> cond.false.i (62)
; CHECK: BB#1: derived from LLVM BB %for.body
; CHECK: Successors according to CFG: BB#2(0x7ffffc00 / 0x80000000 = 100.00%) BB#4(0x00000400 / 0x80000000 = 0.00%)
; CHECK: Successors according to CFG: BB#2(4294967291) BB#4(2048)
for.body:
br i1 undef, label %for.cond.backedge, label %lor.lhs.false.i, !prof !1

View File

@ -19,7 +19,7 @@ bb:
br i1 %9, label %return, label %bb2
; CHECK: BB#2: derived from LLVM BB %bb2
; CHECK: Successors according to CFG: BB#3({{[0-9a-fx/= ]+}}50.00%) BB#4({{[0-9a-fx/= ]+}}50.00%)
; CHECK: Successors according to CFG: BB#3(4294967289) BB#4(4294967287)
bb2:
%v10 = icmp eq i32 %3, 16

View File

@ -1,5 +1,5 @@
; RUN: llc < %s -mtriple thumbv7s-apple-darwin -asm-verbose=false | FileCheck %s
; RUN: llc < %s -mtriple thumbv7s-apple-darwin -asm-verbose=false -print-machineinstrs=if-converter 2>&1 | FileCheck --check-prefix=CHECK-PROB %s
; RUN: llc < %s -mtriple thumbv7s-apple-darwin -asm-verbose=false -print-machineinstrs=if-converter 2>&1 | FileCheck --check-prefix=CHECK-WEIGHT %s
declare i32 @foo(i32)
declare i8* @bar(i32, i8*, i8*)
@ -29,10 +29,10 @@ declare i8* @bar(i32, i8*, i8*)
; CHECK-NEXT: [[FOOCALL]]:
; CHECK-NEXT: blx _foo
;
; CHECK-PROB: BB#0:
; CHECK-PROB: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}50.00%) BB#2({{[0-9a-fx/= ]+}}25.00%) BB#4({{[0-9a-fx/= ]+}}25.00%)
; CHECK-PROB: BB#1:
; CHECK-PROB: Successors according to CFG: BB#2({{[0-9a-fx/= ]+}}75.00%) BB#4({{[0-9a-fx/= ]+}}25.00%)
; CHECK-WEIGHT: BB#0:
; CHECK-WEIGHT: Successors according to CFG: BB#1(1073741824) BB#2(536870912) BB#4(536870912)
; CHECK-WEIGHT: BB#1:
; CHECK-WEIGHT: Successors according to CFG: BB#2(1610612736) BB#4(536870912)
define i32 @test(i32 %a, i32 %a2, i32* %p, i32* %p2) {
entry:

View File

@ -9,7 +9,7 @@
; = 0.2 * 0.4 + 0.8 * 0.7 = 0.64
; CHECK: # Machine code for function test0:
; CHECK: Successors according to CFG: BB#{{[0-9]+}}({{[0-9a-fx/= ]+}}20.00%) BB#{{[0-9]+}}({{[0-9a-fx/= ]+}}80.00%)
; CHECK: Successors according to CFG: BB#{{[0-9]+}}(13) BB#{{[0-9]+}}(24)
; CHECK: BB#{{[0-9]+}}:
; CHECK: BB#{{[0-9]+}}:
; CHECK: # End machine code for function test0.

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@ -3,7 +3,7 @@
; RUN: | FileCheck %s
; CHECK: Machine code for function test0:
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}3.12%) BB#2({{[0-9a-fx/= ]+}}96.88%)
; CHECK: Successors according to CFG: BB#1(67108864) BB#2(2080374784)
define void @test0(i32 %a, i32 %b, i32* %c, i32* %d) {
entry:
@ -30,7 +30,7 @@ B4:
!0 = !{!"branch_weights", i32 4, i32 124}
; CHECK: Machine code for function test1:
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}3.12%) BB#2({{[0-9a-fx/= ]+}}96.88%)
; CHECK: Successors according to CFG: BB#1(67108864) BB#2(2080374784)
@g0 = common global i32 0, align 4

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@ -16,11 +16,11 @@ entry:
i64 5, label %sw.bb1
], !prof !0
; CHECK: BB#0: derived from LLVM BB %entry
; CHECK: Successors according to CFG: BB#2({{[0-9a-fx/= ]+}}75.29%) BB#4({{[0-9a-fx/= ]+}}24.71%)
; CHECK: Successors according to CFG: BB#2(1616928864) BB#4(530554784)
; CHECK: BB#4: derived from LLVM BB %entry
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}47.62%) BB#5({{[0-9a-fx/= ]+}}52.38%)
; CHECK: Successors according to CFG: BB#1(252645135) BB#5(277909649)
; CHECK: BB#5: derived from LLVM BB %entry
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}36.36%) BB#3({{[0-9a-fx/= ]+}}63.64%)
; CHECK: Successors according to CFG: BB#1(101058054) BB#3(176851595)
sw.bb:
br label %return
@ -62,7 +62,7 @@ return: ret void
; CHECK-LABEL: Machine code for function left_leaning_weight_balanced_tree:
; CHECK: BB#0: derived from LLVM BB %entry
; CHECK-NOT: Successors
; CHECK: Successors according to CFG: BB#8({{[0-9a-fx/= ]+}}39.71%) BB#9({{[0-9a-fx/= ]+}}60.29%)
; CHECK: Successors according to CFG: BB#8(852677332) BB#9(1294806318)
}
!1 = !{!"branch_weights",

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@ -2,7 +2,7 @@
; Check that the edge weights are updated correctly after if-conversion.
; CHECK: BB#3:
; CHECK: Successors according to CFG: BB#2({{[0-9a-fx/= ]+}}10.00%) BB#1({{[0-9a-fx/= ]+}}90.00%)
; CHECK: Successors according to CFG: BB#2(214748365) BB#1(1932735283)
@a = external global i32
@d = external global i32

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@ -35,7 +35,7 @@ liveins:
# CHECK-LABEL: name: foo
# CHECK: body: |
# CHECK-NEXT: bb.0.entry:
# CHECK-NEXT: successors: %bb.1.less(0x40000000 / 0x80000000 = 50.00%), %bb.2.exit(0x40000000 / 0x80000000 = 50.00%)
# CHECK-NEXT: successors: %bb.1.less(0), %bb.2.exit(0)
# CHECK-NEXT: liveins: %edi
# CHECK: CMP32ri8 %edi, 10, implicit-def %eflags
# CHECK-NEXT: JG_1 %bb.2.exit, implicit killed %eflags
@ -79,7 +79,7 @@ liveins:
# CHECK-LABEL: name: bar
# CHECK: body: |
# CHECK-NEXT: bb.0.entry:
# CHECK-NEXT: successors: %bb.1.less(0x40000000 / 0x80000000 = 50.00%), %bb.2.exit(0x40000000 / 0x80000000 = 50.00%)
# CHECK-NEXT: successors: %bb.1.less(0), %bb.2.exit(0)
# CHECK-NEXT: liveins: %edi
# CHECK: CMP32ri8 %edi, 10, implicit-def %eflags
# CHECK-NEXT: JG_1 %bb.2.exit, implicit killed %eflags

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@ -1,6 +1,6 @@
# RUN: llc -march=x86-64 -start-after branch-folder -stop-after branch-folder -o /dev/null %s | FileCheck %s
# This test ensures that the MIR parser parses basic block successors and
# probabilities correctly.
# weights correctly.
--- |
@ -21,10 +21,10 @@
name: foo
body: |
; CHECK-LABEL: bb.0.entry:
; CHECK: successors: %bb.1.less({{[0-9a-fx/= ]+}}33.00%), %bb.2.exit({{[0-9a-fx/= ]+}}67.00%)
; CHECK: successors: %bb.1.less(16), %bb.2.exit(32)
; CHECK-LABEL: bb.1.less:
bb.0.entry:
successors: %bb.1.less (33), %bb.2.exit(67)
successors: %bb.1.less (16), %bb.2.exit(32)
liveins: %edi
CMP32ri8 %edi, 10, implicit-def %eflags

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@ -32,7 +32,7 @@
name: foo
body: |
; CHECK-LABEL: bb.0.entry:
; CHECK: successors: %bb.1.less(0x40000000 / 0x80000000 = 50.00%), %bb.2.exit(0x40000000 / 0x80000000 = 50.00%)
; CHECK: successors: %bb.1.less(0), %bb.2.exit(0)
; CHECK-LABEL: bb.1.less:
bb.0.entry:
successors: %bb.1.less, %bb.2.exit
@ -58,7 +58,7 @@ body: |
; Verify that we can have multiple lists of successors that will be merged
; into one.
; CHECK-LABEL: bb.0.entry:
; CHECK: successors: %bb.1(0x80000000 / 0x80000000 = 100.00%), %bb.2(0x00000000 / 0x80000000 = 0.00%)
; CHECK: successors: %bb.1(0), %bb.2(0)
bb.0.entry:
liveins: %edi
successors: %bb.1

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@ -18,9 +18,9 @@ for.cond2: ; preds = %for.inc, %for.cond
%or.cond = or i1 %tobool, %cmp4
br i1 %or.cond, label %for.inc20, label %for.inc, !prof !0
; CHECK: BB#1: derived from LLVM BB %for.cond2
; CHECK: Successors according to CFG: BB#3({{[0-9a-fx/= ]+}}1.53%) BB#4({{[0-9a-fx/= ]+}}98.47%)
; CHECK: Successors according to CFG: BB#3(32756933) BB#4(2114726715)
; CHECK: BB#4: derived from LLVM BB %for.cond2
; CHECK: Successors according to CFG: BB#3({{[0-9a-fx/= ]+}}1.55%) BB#2({{[0-9a-fx/= ]+}}98.45%)
; CHECK: Successors according to CFG: BB#3(33264335) BB#2(2114219313)
for.inc: ; preds = %for.cond2
%shl = shl i32 %bit.0, 1

View File

@ -2,7 +2,7 @@
; Check if the edge weight to the catchpad is calculated correctly.
; CHECK: Successors according to CFG: BB#3(0x7ffff100 / 0x80000000 = 100.00%) BB#1(0x00000800 / 0x80000000 = 0.00%) BB#4(0x00000400 / 0x80000000 = 0.00%) BB#6(0x00000200 / 0x80000000 = 0.00%) BB#8(0x00000100 / 0x80000000 = 0.00%)
; CHECK: Successors according to CFG: BB#3(2147481600) BB#1(2048) BB#4(1024) BB#6(512) BB#8(256)
target datalayout = "e-m:w-i64:64-f80:128-n8:16:32:64-S128"
target triple = "x86_64--windows-msvc18.0.0"

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@ -2,13 +2,13 @@
; RUN: llc -mtriple=x86_64-apple-darwin -print-machineinstrs=expand-isel-pseudos -enable-selectiondag-sp=false %s -o /dev/null 2>&1 | FileCheck %s --check-prefix=IR
; SELDAG: # Machine code for function test_branch_weights:
; SELDAG: Successors according to CFG: BB#[[SUCCESS:[0-9]+]]({{[0-9a-fx/= ]+}}100.00%) BB#[[FAILURE:[0-9]+]]
; SELDAG: Successors according to CFG: BB#[[SUCCESS:[0-9]+]](2147481600) BB#[[FAILURE:[0-9]+]](2048)
; SELDAG: BB#[[FAILURE]]:
; SELDAG: CALL64pcrel32 <es:__stack_chk_fail>
; SELDAG: BB#[[SUCCESS]]:
; IR: # Machine code for function test_branch_weights:
; IR: Successors according to CFG: BB#[[SUCCESS:[0-9]+]]({{[0-9a-fx/= ]+}}100.00%) BB#[[FAILURE:[0-9]+]]
; IR: Successors according to CFG: BB#[[SUCCESS:[0-9]+]](2147481600) BB#[[FAILURE:[0-9]+]](2048)
; IR: BB#[[SUCCESS]]:
; IR: BB#[[FAILURE]]:
; IR: CALL64pcrel32 <ga:@__stack_chk_fail>

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@ -34,22 +34,22 @@ sw.epilog:
; CHECK: BB#0:
; BB#0 to BB#4: [0, 1133] (65 = 60 + 5)
; BB#0 to BB#5: [1134, UINT32_MAX] (25 = 20 + 5)
; CHECK: Successors according to CFG: BB#4({{[0-9a-fx/= ]+}}72.22%) BB#5({{[0-9a-fx/= ]+}}27.78%)
; CHECK: Successors according to CFG: BB#4(1550960411) BB#5(596523235)
;
; CHECK: BB#4:
; BB#4 to BB#1: [155, 159] (50)
; BB#4 to BB#5: [0, 1133] - [155, 159] (15 = 10 + 5)
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}76.92%) BB#7({{[0-9a-fx/= ]+}}23.08%)
; CHECK: Successors according to CFG: BB#1(1193046470) BB#7(357913941)
;
; CHECK: BB#5:
; BB#5 to BB#1: {1140} (10)
; BB#5 to BB#6: [1134, UINT32_MAX] - {1140} (15 = 10 + 5)
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}40.00%) BB#6({{[0-9a-fx/= ]+}}60.00%)
; CHECK: Successors according to CFG: BB#1(238609294) BB#6(357913941)
;
; CHECK: BB#6:
; BB#6 to BB#1: {1134} (10)
; BB#6 to BB#2: [1134, UINT32_MAX] - {1134, 1140} (5)
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}66.67%) BB#2({{[0-9a-fx/= ]+}}33.33%)
; CHECK: Successors according to CFG: BB#1(238609294) BB#2(119304647)
}
; CHECK-LABEL: test2
@ -102,7 +102,7 @@ sw.epilog:
; CHECK: BB#0:
; BB#0 to BB#6: {0} + [15, UINT32_MAX] (5)
; BB#0 to BB#8: [1, 14] (jump table) (65 = 60 + 5)
; CHECK: Successors according to CFG: BB#6({{[0-9a-fx/= ]+}}7.14%) BB#8({{[0-9a-fx/= ]+}}92.86%
; CHECK: Successors according to CFG: BB#6(153391689) BB#8(1994091957)
;
; CHECK: BB#8:
; BB#8 to BB#1: {1} (10)
@ -111,7 +111,7 @@ sw.epilog:
; BB#8 to BB#3: {11} (10)
; BB#8 to BB#4: {12} (10)
; BB#8 to BB#5: {13, 14} (20)
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}14.29%) BB#6({{[0-9a-fx/= ]+}}7.14%) BB#2({{[0-9a-fx/= ]+}}14.29%) BB#3({{[0-9a-fx/= ]+}}14.29%) BB#4({{[0-9a-fx/= ]+}}14.29%) BB#5({{[0-9a-fx/= ]+}}28.57%)
; CHECK: Successors according to CFG: BB#1(306783378) BB#6(153391689) BB#2(306783378) BB#3(306783378) BB#4(306783378) BB#5(613566756)
}
; CHECK-LABEL: test3
@ -163,7 +163,7 @@ sw.epilog:
; CHECK: BB#0:
; BB#0 to BB#6: [0, 9] + [15, UINT32_MAX] {10}
; BB#0 to BB#8: [10, 14] (jump table) (50)
; CHECK: Successors according to CFG: BB#6({{[0-9a-fx/= ]+}}16.67%) BB#8({{[0-9a-fx/= ]+}}83.33%)
; CHECK: Successors according to CFG: BB#6(357913941) BB#8(1789569705)
;
; CHECK: BB#8:
; BB#8 to BB#1: {10} (10)
@ -171,7 +171,7 @@ sw.epilog:
; BB#8 to BB#3: {12} (10)
; BB#8 to BB#4: {13} (10)
; BB#8 to BB#5: {14} (10)
; CHECK: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}20.00%) BB#2({{[0-9a-fx/= ]+}}20.00%) BB#3({{[0-9a-fx/= ]+}}20.00%) BB#4({{[0-9a-fx/= ]+}}20.00%) BB#5({{[0-9a-fx/= ]+}}20.00%)
; CHECK: Successors according to CFG: BB#1(357913941) BB#2(357913941) BB#3(357913941) BB#4(357913941) BB#5(357913941)
}
; CHECK-LABEL: test4
@ -216,12 +216,12 @@ sw.epilog:
; CHECK: BB#0:
; BB#0 to BB#6: [0, 110] + [116, UINT32_MAX] (20)
; BB#0 to BB#7: [111, 115] (bit test) (50)
; CHECK: Successors according to CFG: BB#6({{[0-9a-fx/= ]+}}28.57%) BB#7({{[0-9a-fx/= ]+}}71.43%)
; CHECK: Successors according to CFG: BB#6(613566756) BB#7(1533916890)
;
; CHECK: BB#7:
; BB#7 to BB#2: {111, 114, 115} (30)
; BB#7 to BB#3: {112, 113} (20)
; CHECK: Successors according to CFG: BB#2({{[0-9a-fx/= ]+}}60.00%) BB#3({{[0-9a-fx/= ]+}}40.00%)
; CHECK: Successors according to CFG: BB#2(920350134) BB#3(613566756)
}
; CHECK-LABEL: test5
@ -273,7 +273,7 @@ sw.epilog:
; CHECK: BB#0:
; BB#0 to BB#6: [10, UINT32_MAX] (15)
; BB#0 to BB#8: [1, 5, 7, 9] (jump table) (45)
; CHECK: Successors according to CFG: BB#8({{[0-9a-fx/= ]+}}25.00%) BB#9({{[0-9a-fx/= ]+}}75.00%)
; CHECK: Successors according to CFG: BB#8(536870912) BB#9(1610612734)
}
!1 = !{!"branch_weights", i32 10, i32 10, i32 10, i32 10, i32 10, i32 10, i32 10, i32 10, i32 10}

View File

@ -1,5 +1,5 @@
; RUN: llc -mtriple=i686-pc-gnu-linux < %s | FileCheck %s -check-prefix=CHECK
; RUN: llc -mtriple=i686-pc-gnu-linux -print-machineinstrs=expand-isel-pseudos %s -o /dev/null 2>&1 | FileCheck %s -check-prefix=CHECK-JT-PROB
; RUN: llc -mtriple=i686-pc-gnu-linux -print-machineinstrs=expand-isel-pseudos %s -o /dev/null 2>&1 | FileCheck %s -check-prefix=CHECK-JT-WEIGHT
; An unreachable default destination is replaced with the most popular case label.
@ -54,9 +54,9 @@ default:
; Check if branch probabilities are correctly assigned to the jump table.
define void @bar(i32 %x, i32* %to) {
; CHECK-JT-PROB-LABEL: bar:
; CHECK-JT-PROB: Successors according to CFG: BB#6({{[0-9a-fx/= ]+}}14.29%) BB#8({{[0-9a-fx/= ]+}}85.71%)
; CHECK-JT-PROB: Successors according to CFG: BB#1({{[0-9a-fx/= ]+}}16.67%) BB#2({{[0-9a-fx/= ]+}}16.67%) BB#3({{[0-9a-fx/= ]+}}16.67%) BB#4({{[0-9a-fx/= ]+}}16.67%) BB#5({{[0-9a-fx/= ]+}}33.33%)
; CHECK-JT-WEIGHT-LABEL: bar:
; CHECK-JT-WEIGHT: Successors according to CFG: BB#6(306783378) BB#8(1840700268)
; CHECK-JT-WEIGHT: Successors according to CFG: BB#1(306783378) BB#2(306783378) BB#3(306783378) BB#4(306783378) BB#5(613566756)
entry:
switch i32 %x, label %default [