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BBVectorize: Use target costs for incoming and outgoing values instead of the depth heuristic.
When target cost information is available, compute explicit costs of inserting and extracting values from vectors. At this point, all costs are estimated using the target information, and the chain-depth heuristic is not needed. As a result, it is now, by default, disabled when using target costs. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@167256 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -58,6 +58,11 @@ static cl::opt<unsigned>
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ReqChainDepth("bb-vectorize-req-chain-depth", cl::init(6), cl::Hidden,
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cl::desc("The required chain depth for vectorization"));
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static cl::opt<bool>
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UseChainDepthWithTI("bb-vectorize-use-chain-depth", cl::init(false),
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cl::Hidden, cl::desc("Use the chain depth requirement with"
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" target information"));
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static cl::opt<unsigned>
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SearchLimit("bb-vectorize-search-limit", cl::init(400), cl::Hidden,
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cl::desc("The maximum search distance for instruction pairs"));
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@ -227,6 +232,9 @@ namespace {
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DenseMap<ValuePair, int> &CandidatePairCostSavings,
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std::vector<Value *> &PairableInsts, bool NonPow2Len);
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// FIXME: The current implementation does not account for pairs that
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// are connected in multiple ways. For example:
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// C1 = A1 / A2; C2 = A2 / A1 (which may be both direct and a swap)
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enum PairConnectionType {
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PairConnectionDirect,
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PairConnectionSwap,
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@ -1665,20 +1673,39 @@ namespace {
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int EffSize = 0;
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if (VTTI) {
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DenseSet<Value *> PrunedTreeInstrs;
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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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PrunedTreeInstrs.insert(S->first);
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PrunedTreeInstrs.insert(S->second);
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}
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// The set of pairs that have already contributed to the total cost.
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DenseSet<ValuePair> IncomingPairs;
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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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bool FlipOrder = false;
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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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if (getDepthFactor(S->first)) {
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int ESContrib = CandidatePairCostSavings.find(*S)->second;
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DEBUG(if (DebugPairSelection) dbgs() << "\tweight {"
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<< *S->first << " <-> " << *S->second << "} = " <<
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ESContrib << "\n");
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EffSize += ESContrib;
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}
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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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if (!PrunedTree.count(Q->second))
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continue;
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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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@ -1692,12 +1719,14 @@ namespace {
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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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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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if (!PrunedTree.count(Q->second))
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continue;
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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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@ -1707,9 +1736,161 @@ namespace {
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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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R->second == PairConnectionSplat) {
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int ESContrib = (int) getInstrCost(Instruction::ShuffleVector,
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VTy, VTy);
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DEBUG(if (DebugPairSelection) dbgs() << "\tcost {" <<
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*Q->second.first << " <-> " << *Q->second.second <<
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"} -> {" <<
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*S->first << " <-> " << *S->second << "} = " <<
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ESContrib << "\n");
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EffSize -= ESContrib;
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}
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}
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}
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// Compute the cost of outgoing edges. We assume that edges outgoing
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// to shuffles, inserts or extracts can be merged, and so contribute
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// no additional cost.
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if (!S->first->getType()->isVoidTy()) {
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Type *Ty1 = S->first->getType(),
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*Ty2 = S->second->getType();
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Type *VTy = getVecTypeForPair(Ty1, Ty2);
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bool NeedsExtraction = false;
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for (Value::use_iterator I = S->first->use_begin(),
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IE = S->first->use_end(); I != IE; ++I) {
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if (isa<ShuffleVectorInst>(*I) ||
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isa<InsertElementInst>(*I) ||
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isa<ExtractElementInst>(*I))
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continue;
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if (PrunedTreeInstrs.count(*I))
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continue;
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NeedsExtraction = true;
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break;
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}
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if (NeedsExtraction) {
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int ESContrib;
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if (Ty1->isVectorTy())
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ESContrib = (int) getInstrCost(Instruction::ShuffleVector,
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Ty1, VTy);
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else
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ESContrib = (int) VTTI->getVectorInstrCost(
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Instruction::ExtractElement, VTy, 0);
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DEBUG(if (DebugPairSelection) dbgs() << "\tcost {" <<
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*S->first << "} = " << ESContrib << "\n");
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EffSize -= ESContrib;
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}
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NeedsExtraction = false;
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for (Value::use_iterator I = S->second->use_begin(),
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IE = S->second->use_end(); I != IE; ++I) {
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if (isa<ShuffleVectorInst>(*I) ||
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isa<InsertElementInst>(*I) ||
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isa<ExtractElementInst>(*I))
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continue;
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if (PrunedTreeInstrs.count(*I))
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continue;
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NeedsExtraction = true;
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break;
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}
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if (NeedsExtraction) {
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int ESContrib;
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if (Ty2->isVectorTy())
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ESContrib = (int) getInstrCost(Instruction::ShuffleVector,
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Ty2, VTy);
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else
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ESContrib = (int) VTTI->getVectorInstrCost(
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Instruction::ExtractElement, VTy, 1);
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DEBUG(if (DebugPairSelection) dbgs() << "\tcost {" <<
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*S->second << "} = " << ESContrib << "\n");
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EffSize -= ESContrib;
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}
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}
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// Compute the cost of incoming edges.
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if (!isa<LoadInst>(S->first) && !isa<StoreInst>(S->first)) {
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Instruction *S1 = cast<Instruction>(S->first),
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*S2 = cast<Instruction>(S->second);
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for (unsigned o = 0; o < S1->getNumOperands(); ++o) {
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Value *O1 = S1->getOperand(o), *O2 = S2->getOperand(o);
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// Combining constants into vector constants (or small vector
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// constants into larger ones are assumed free).
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if (isa<Constant>(O1) && isa<Constant>(O2))
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continue;
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if (FlipOrder)
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std::swap(O1, O2);
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ValuePair VP = ValuePair(O1, O2);
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ValuePair VPR = ValuePair(O2, O1);
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// Internal edges are not handled here.
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if (PrunedTree.count(VP) || PrunedTree.count(VPR))
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continue;
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Type *Ty1 = O1->getType(),
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*Ty2 = O2->getType();
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Type *VTy = getVecTypeForPair(Ty1, Ty2);
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// Combining vector operations of the same type is also assumed
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// folded with other operations.
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if (Ty1 == Ty2 &&
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(isa<ShuffleVectorInst>(O1) ||
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isa<InsertElementInst>(O1) ||
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isa<InsertElementInst>(O1)) &&
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(isa<ShuffleVectorInst>(O2) ||
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isa<InsertElementInst>(O2) ||
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isa<InsertElementInst>(O2)))
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continue;
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int ESContrib;
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// This pair has already been formed.
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if (IncomingPairs.count(VP)) {
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continue;
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} else if (IncomingPairs.count(VPR)) {
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ESContrib = (int) getInstrCost(Instruction::ShuffleVector,
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VTy, VTy);
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} else if (!Ty1->isVectorTy() && !Ty2->isVectorTy()) {
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ESContrib = (int) VTTI->getVectorInstrCost(
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Instruction::InsertElement, VTy, 0);
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ESContrib += (int) VTTI->getVectorInstrCost(
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Instruction::InsertElement, VTy, 1);
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} else if (!Ty1->isVectorTy()) {
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// O1 needs to be inserted into a vector of size O2, and then
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// both need to be shuffled together.
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ESContrib = (int) VTTI->getVectorInstrCost(
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Instruction::InsertElement, Ty2, 0);
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ESContrib += (int) getInstrCost(Instruction::ShuffleVector,
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VTy, Ty2);
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} else if (!Ty2->isVectorTy()) {
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// O2 needs to be inserted into a vector of size O1, and then
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// both need to be shuffled together.
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ESContrib = (int) VTTI->getVectorInstrCost(
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Instruction::InsertElement, Ty1, 0);
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ESContrib += (int) getInstrCost(Instruction::ShuffleVector,
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VTy, Ty1);
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} else {
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Type *TyBig = Ty1, *TySmall = Ty2;
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if (Ty2->getVectorNumElements() > Ty1->getVectorNumElements())
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std::swap(TyBig, TySmall);
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ESContrib = (int) getInstrCost(Instruction::ShuffleVector,
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VTy, TyBig);
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if (TyBig != TySmall)
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ESContrib += (int) getInstrCost(Instruction::ShuffleVector,
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TyBig, TySmall);
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}
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DEBUG(if (DebugPairSelection) dbgs() << "\tcost {"
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<< *O1 << " <-> " << *O2 << "} = " <<
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ESContrib << "\n");
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EffSize -= ESContrib;
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IncomingPairs.insert(VP);
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}
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}
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}
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@ -1724,7 +1905,8 @@ namespace {
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<< *J->first << " <-> " << *J->second << "} of depth " <<
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MaxDepth << " and size " << PrunedTree.size() <<
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" (effective size: " << EffSize << ")\n");
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if (MaxDepth >= Config.ReqChainDepth &&
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if (((VTTI && !UseChainDepthWithTI) ||
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MaxDepth >= Config.ReqChainDepth) &&
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EffSize > 0 && EffSize > BestEffSize) {
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BestMaxDepth = MaxDepth;
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BestEffSize = EffSize;
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29
test/Transforms/BBVectorize/X86/simple-ldstr.ll
Normal file
29
test/Transforms/BBVectorize/X86/simple-ldstr.ll
Normal file
@ -0,0 +1,29 @@
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target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-s0:64:64-f80:128:128-n8:16:32:64-S128"
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; RUN: opt < %s -mtriple=x86_64-unknown-linux-gnu -mcpu=corei7 -bb-vectorize -bb-vectorize-req-chain-depth=3 -instcombine -gvn -S | FileCheck %s
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; Simple 3-pair chain with loads and stores
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define void @test1(double* %a, double* %b, double* %c) nounwind uwtable readonly {
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entry:
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%i0 = load double* %a, align 8
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%i1 = load double* %b, align 8
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%mul = fmul double %i0, %i1
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%arrayidx3 = getelementptr inbounds double* %a, i64 1
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%i3 = load double* %arrayidx3, align 8
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%arrayidx4 = getelementptr inbounds double* %b, i64 1
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%i4 = load double* %arrayidx4, align 8
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%mul5 = fmul double %i3, %i4
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store double %mul, double* %c, align 8
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%arrayidx5 = getelementptr inbounds double* %c, i64 1
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store double %mul5, double* %arrayidx5, align 8
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ret void
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; CHECK: @test1
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; CHECK: %i0.v.i0 = bitcast double* %a to <2 x double>*
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; CHECK: %i1.v.i0 = bitcast double* %b to <2 x double>*
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; CHECK: %i0 = load <2 x double>* %i0.v.i0, align 8
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; CHECK: %i1 = load <2 x double>* %i1.v.i0, align 8
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; CHECK: %mul = fmul <2 x double> %i0, %i1
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; CHECK: %0 = bitcast double* %c to <2 x double>*
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; CHECK: store <2 x double> %mul, <2 x double>* %0, align 8
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; CHECK: ret void
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}
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@ -3,25 +3,84 @@ target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f3
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; Basic depth-3 chain
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define double @test1(double %A1, double %A2, double %B1, double %B2) {
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%X1 = fsub double %A1, %B1
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%X2 = fsub double %A2, %B2
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%Y1 = fmul double %X1, %A1
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%Y2 = fmul double %X2, %A2
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%Z1 = fadd double %Y1, %B1
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%Z2 = fadd double %Y2, %B2
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%R = fmul double %Z1, %Z2
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ret double %R
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; CHECK: @test1
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; CHECK-NOT: fmul <2 x double>
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; CHECK: ret double %R
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}
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; Basic chain
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define double @test1a(double %A1, double %A2, double %B1, double %B2) {
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%X1 = fsub double %A1, %B1
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%X2 = fsub double %A2, %B2
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%Y1 = fmul double %X1, %A1
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%Y2 = fmul double %X2, %A2
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%Z1 = fadd double %Y1, %B1
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%Z2 = fadd double %Y2, %B2
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%W1 = fadd double %Y1, %Z1
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%W2 = fadd double %Y2, %Z2
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%V1 = fadd double %W1, %Z1
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%V2 = fadd double %W2, %Z2
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%Q1 = fadd double %W1, %V1
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%Q2 = fadd double %W2, %V2
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%S1 = fadd double %W1, %Q1
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%S2 = fadd double %W2, %Q2
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%R = fmul double %S1, %S2
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ret double %R
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; CHECK: @test1a
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; CHECK: %X1.v.i1.1 = insertelement <2 x double> undef, double %B1, i32 0
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; CHECK: %X1.v.i1.2 = insertelement <2 x double> %X1.v.i1.1, double %B2, i32 1
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; CHECK: %X1.v.i0.1 = insertelement <2 x double> undef, double %A1, i32 0
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; CHECK: %X1.v.i0.2 = insertelement <2 x double> %X1.v.i0.1, double %A2, i32 1
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; CHECK: %X1 = fsub <2 x double> %X1.v.i0.2, %X1.v.i1.2
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; CHECK: %Y1 = fmul <2 x double> %X1, %X1.v.i0.2
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; CHECK: %Z1 = fadd <2 x double> %Y1, %X1.v.i1.2
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; CHECK: %W1 = fadd <2 x double> %Y1, %Z1
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; CHECK: %V1 = fadd <2 x double> %W1, %Z1
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; CHECK: %Q1 = fadd <2 x double> %W1, %V1
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; CHECK: %S1 = fadd <2 x double> %W1, %Q1
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; CHECK: %S1.v.r1 = extractelement <2 x double> %S1, i32 0
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; CHECK: %S1.v.r2 = extractelement <2 x double> %S1, i32 1
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; CHECK: %R = fmul double %S1.v.r1, %S1.v.r2
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; CHECK: ret double %R
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}
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; Basic depth-3 chain (last pair permuted)
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define double @test2(double %A1, double %A2, double %B1, double %B2) {
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%X1 = fsub double %A1, %B1
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%X2 = fsub double %A2, %B2
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; CHECK: %X1 = fsub <2 x double> %X1.v.i0.2, %X1.v.i1.2
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%Y1 = fmul double %X1, %A1
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%Y2 = fmul double %X2, %A2
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; CHECK: %Y1 = fmul <2 x double> %X1, %X1.v.i0.2
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%Z1 = fadd double %Y1, %B1
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%Z2 = fadd double %Y2, %B2
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; CHECK: %Z1 = fadd <2 x double> %Y1, %X1.v.i1.2
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%Z1 = fadd double %Y2, %B1
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%Z2 = fadd double %Y1, %B2
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%R = fmul double %Z1, %Z2
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; CHECK: %Z1.v.r1 = extractelement <2 x double> %Z1, i32 0
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; CHECK: %Z1.v.r2 = extractelement <2 x double> %Z1, i32 1
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; CHECK: %R = fmul double %Z1.v.r1, %Z1.v.r2
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ret double %R
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; CHECK: @test2
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; CHECK-NOT: fmul <2 x double>
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; CHECK: ret double %R
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}
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; Basic depth-4 chain (internal permutation)
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define double @test4(double %A1, double %A2, double %B1, double %B2) {
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%X1 = fsub double %A1, %B1
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%X2 = fsub double %A2, %B2
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%Y1 = fmul double %X1, %A1
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%Y2 = fmul double %X2, %A2
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%Z1 = fadd double %Y2, %B1
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%Z2 = fadd double %Y1, %B2
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%W1 = fadd double %Y2, %Z1
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%W2 = fadd double %Y1, %Z2
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%R = fmul double %Z1, %Z2
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ret double %R
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; CHECK: @test4
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; CHECK-NOT: fmul <2 x double>
|
||||
; CHECK: ret double %R
|
||||
}
|
||||
|
||||
@ -37,8 +96,8 @@ define <8 x i8> @test6(<8 x i8> %A1, <8 x i8> %A2, <8 x i8> %B1, <8 x i8> %B2) {
|
||||
%Q2 = shufflevector <8 x i8> %Z2, <8 x i8> %Z2, <8 x i32> <i32 6, i32 7, i32 0, i32 1, i32 2, i32 4, i32 4, i32 1>
|
||||
%R = mul <8 x i8> %Q1, %Q2
|
||||
ret <8 x i8> %R
|
||||
; CHECK-TI: @test6
|
||||
; CHECK-TI-NOT: sub <16 x i8>
|
||||
; CHECK-TI: ret <8 x i8>
|
||||
; CHECK: @test6
|
||||
; CHECK-NOT: sub <16 x i8>
|
||||
; CHECK: ret <8 x i8>
|
||||
}
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user