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BBVectorize: Account for internal shuffle costs
When target costs are available, use them to account for the costs of shuffles on internal edges of the DAG of candidate pairs. Because the shuffle costs here are currently for only the internal edges, the current target cost model is trivial, and the chain depth requirement is still in place, I don't yet have an easy test case. Nevertheless, by looking at the debug output, it does seem to do the right think to the effective "size" of each DAG of candidate pairs. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@167217 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -246,7 +246,10 @@ namespace {
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void choosePairs(std::multimap<Value *, Value *> &CandidatePairs,
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DenseMap<ValuePair, int> &CandidatePairCostSavings,
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std::vector<Value *> &PairableInsts,
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DenseSet<ValuePair> &FixedOrderPairs,
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DenseMap<VPPair, unsigned> &PairConnectionTypes,
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std::multimap<ValuePair, ValuePair> &ConnectedPairs,
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std::multimap<ValuePair, ValuePair> &ConnectedPairDeps,
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DenseSet<ValuePair> &PairableInstUsers,
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DenseMap<Value *, Value *>& ChosenPairs);
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@ -308,7 +311,10 @@ namespace {
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std::multimap<Value *, Value *> &CandidatePairs,
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DenseMap<ValuePair, int> &CandidatePairCostSavings,
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std::vector<Value *> &PairableInsts,
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DenseSet<ValuePair> &FixedOrderPairs,
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DenseMap<VPPair, unsigned> &PairConnectionTypes,
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std::multimap<ValuePair, ValuePair> &ConnectedPairs,
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std::multimap<ValuePair, ValuePair> &ConnectedPairDeps,
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DenseSet<ValuePair> &PairableInstUsers,
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std::multimap<ValuePair, ValuePair> &PairableInstUserMap,
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DenseMap<Value *, Value *> &ChosenPairs,
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@ -550,6 +556,7 @@ namespace {
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case Instruction::Trunc:
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case Instruction::FPTrunc:
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case Instruction::BitCast:
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case Instruction::ShuffleVector:
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return VTTI->getCastInstrCost(Opcode, T1, T2);
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}
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@ -714,7 +721,8 @@ namespace {
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DenseMap<Value *, Value *> ChosenPairs;
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choosePairs(CandidatePairs, CandidatePairCostSavings,
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PairableInsts, ConnectedPairs,
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PairableInsts, FixedOrderPairs, PairConnectionTypes,
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ConnectedPairs, ConnectedPairDeps,
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PairableInstUsers, ChosenPairs);
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if (ChosenPairs.empty()) continue;
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@ -1597,7 +1605,10 @@ namespace {
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std::multimap<Value *, Value *> &CandidatePairs,
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DenseMap<ValuePair, int> &CandidatePairCostSavings,
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std::vector<Value *> &PairableInsts,
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DenseSet<ValuePair> &FixedOrderPairs,
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DenseMap<VPPair, unsigned> &PairConnectionTypes,
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std::multimap<ValuePair, ValuePair> &ConnectedPairs,
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std::multimap<ValuePair, ValuePair> &ConnectedPairDeps,
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DenseSet<ValuePair> &PairableInstUsers,
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std::multimap<ValuePair, ValuePair> &PairableInstUserMap,
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DenseMap<Value *, Value *> &ChosenPairs,
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@ -1654,10 +1665,53 @@ namespace {
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int EffSize = 0;
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if (VTTI) {
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// The node weights represent the cost savings associated with
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// fusing the pair of instructions.
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for (DenseSet<ValuePair>::iterator S = PrunedTree.begin(),
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E = PrunedTree.end(); S != E; ++S) {
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if (getDepthFactor(S->first))
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EffSize += CandidatePairCostSavings.find(*S)->second;
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// The edge weights contribute in a negative sense: they represent
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// the cost of shuffles.
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VPPIteratorPair IP = ConnectedPairDeps.equal_range(*S);
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if (IP.first != ConnectedPairDeps.end()) {
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unsigned NumDepsDirect = 0, NumDepsSwap = 0;
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for (std::multimap<ValuePair, ValuePair>::iterator Q = IP.first;
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Q != IP.second; ++Q) {
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DenseMap<VPPair, unsigned>::iterator R =
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PairConnectionTypes.find(VPPair(Q->second, Q->first));
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assert(R != PairConnectionTypes.end() &&
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"Cannot find pair connection type");
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if (R->second == PairConnectionDirect)
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++NumDepsDirect;
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else if (R->second == PairConnectionSwap)
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++NumDepsSwap;
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}
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// If there are more swaps than direct connections, then
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// the pair order will be flipped during fusion. So the real
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// number of swaps is the minimum number.
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bool FlipOrder = !FixedOrderPairs.count(*S) &&
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((NumDepsSwap > NumDepsDirect) ||
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FixedOrderPairs.count(ValuePair(S->second, S->first)));
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for (std::multimap<ValuePair, ValuePair>::iterator Q = IP.first;
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Q != IP.second; ++Q) {
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DenseMap<VPPair, unsigned>::iterator R =
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PairConnectionTypes.find(VPPair(Q->second, Q->first));
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assert(R != PairConnectionTypes.end() &&
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"Cannot find pair connection type");
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Type *Ty1 = Q->second.first->getType(),
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*Ty2 = Q->second.second->getType();
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Type *VTy = getVecTypeForPair(Ty1, Ty2);
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if ((R->second == PairConnectionDirect && FlipOrder) ||
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(R->second == PairConnectionSwap && !FlipOrder) ||
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R->second == PairConnectionSplat)
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EffSize -= (int) getInstrCost(Instruction::ShuffleVector,
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VTy, VTy);
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}
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}
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}
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} else {
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for (DenseSet<ValuePair>::iterator S = PrunedTree.begin(),
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@ -1685,7 +1739,10 @@ namespace {
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std::multimap<Value *, Value *> &CandidatePairs,
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DenseMap<ValuePair, int> &CandidatePairCostSavings,
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std::vector<Value *> &PairableInsts,
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DenseSet<ValuePair> &FixedOrderPairs,
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DenseMap<VPPair, unsigned> &PairConnectionTypes,
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std::multimap<ValuePair, ValuePair> &ConnectedPairs,
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std::multimap<ValuePair, ValuePair> &ConnectedPairDeps,
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DenseSet<ValuePair> &PairableInstUsers,
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DenseMap<Value *, Value *>& ChosenPairs) {
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bool UseCycleCheck =
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@ -1704,7 +1761,8 @@ namespace {
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int BestEffSize = 0;
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DenseSet<ValuePair> BestTree;
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findBestTreeFor(CandidatePairs, CandidatePairCostSavings,
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PairableInsts, ConnectedPairs,
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PairableInsts, FixedOrderPairs, PairConnectionTypes,
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ConnectedPairs, ConnectedPairDeps,
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PairableInstUsers, PairableInstUserMap, ChosenPairs,
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BestTree, BestMaxDepth, BestEffSize, ChoiceRange,
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UseCycleCheck);
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