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LoopVectorizer: Improve reduction variable identification
The two nested loops were confusing and also conservative in identifying reduction variables. This patch replaces them by a worklist based approach. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@181369 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -2870,6 +2870,26 @@ bool LoopVectorizationLegality::canVectorizeMemory() {
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return true;
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}
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static bool hasMultipleUsesOf(Instruction *I,
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SmallPtrSet<Instruction *, 8> &Insts) {
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unsigned NumUses = 0;
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for(User::op_iterator Use = I->op_begin(), E = I->op_end(); Use != E; ++Use) {
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if (Insts.count(dyn_cast<Instruction>(*Use)))
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++NumUses;
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if (NumUses > 1)
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return true;
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}
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return false;
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}
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static bool areAllUsesIn(Instruction *I, SmallPtrSet<Instruction *, 8> &Set) {
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for(User::op_iterator Use = I->op_begin(), E = I->op_end(); Use != E; ++Use)
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if (!Set.count(dyn_cast<Instruction>(*Use)))
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return false;
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return true;
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}
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bool LoopVectorizationLegality::AddReductionVar(PHINode *Phi,
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ReductionKind Kind) {
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if (Phi->getNumIncomingValues() != 2)
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@ -2888,116 +2908,144 @@ bool LoopVectorizationLegality::AddReductionVar(PHINode *Phi,
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// This includes users of the reduction, variables (which form a cycle
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// which ends in the phi node).
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Instruction *ExitInstruction = 0;
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// Indicates that we found a binary operation in our scan.
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bool FoundBinOp = false;
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// Indicates that we found a reduction operation in our scan.
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bool FoundReduxOp = false;
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// Iter is our iterator. We start with the PHI node and scan for all of the
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// users of this instruction. All users must be instructions that can be
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// used as reduction variables (such as ADD). We may have a single
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// out-of-block user. The cycle must end with the original PHI.
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Instruction *Iter = Phi;
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// We start with the PHI node and scan for all of the users of this
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// instruction. All users must be instructions that can be used as reduction
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// variables (such as ADD). We must have a single out-of-block user. The cycle
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// must include the original PHI.
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bool FoundStartPHI = false;
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// To recognize min/max patterns formed by a icmp select sequence, we store
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// the number of instruction we saw from the recognized min/max pattern,
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// such that we don't stop when we see the phi has two uses (one by the select
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// and one by the icmp) and to make sure we only see exactly the two
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// instructions.
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// to make sure we only see exactly the two instructions.
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unsigned NumCmpSelectPatternInst = 0;
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ReductionInstDesc ReduxDesc(false, 0);
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// Avoid cycles in the chain.
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SmallPtrSet<Instruction *, 8> VisitedInsts;
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while (VisitedInsts.insert(Iter)) {
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// If the instruction has no users then this is a broken
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// chain and can't be a reduction variable.
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if (Iter->use_empty())
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SmallVector<Instruction *, 8> Worklist;
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Worklist.push_back(Phi);
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VisitedInsts.insert(Phi);
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// A value in the reduction can be used:
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// - By the reduction:
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// - Reduction operation:
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// - One use of reduction value (safe).
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// - Multiple use of reduction value (not safe).
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// - PHI:
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// - All uses of the PHI must be the reduction (safe).
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// - Otherwise, not safe.
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// - By one instruction outside of the loop (safe).
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// - By further instructions outside of the loop (not safe).
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// - By an instruction that is not part of the reduction (not safe).
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// This is either:
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// * An instruction type other than PHI or the reduction operation.
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// * A PHI in the header other than the initial PHI.
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while (!Worklist.empty()) {
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Instruction *Cur = Worklist.back();
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Worklist.pop_back();
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// No Users.
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// If the instruction has no users then this is a broken chain and can't be
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// a reduction variable.
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if (Cur->use_empty())
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return false;
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// Did we find a user inside this loop already ?
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bool FoundInBlockUser = false;
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// Did we reach the initial PHI node already ?
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bool FoundStartPHI = false;
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bool IsAPhi = isa<PHINode>(Cur);
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// Is this a bin op ?
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FoundBinOp |= !isa<PHINode>(Iter);
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// A header PHI use other than the original PHI.
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if (Cur != Phi && IsAPhi && Cur->getParent() == Phi->getParent())
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return false;
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// For each of the *users* of iter.
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for (Value::use_iterator it = Iter->use_begin(), e = Iter->use_end();
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it != e; ++it) {
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Instruction *U = cast<Instruction>(*it);
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// We already know that the PHI is a user.
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if (U == Phi) {
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FoundStartPHI = true;
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continue;
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}
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// Reductions of instructions such as Div, and Sub is only possible if the
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// LHS is the reduction variable.
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if (!Cur->isCommutative() && !IsAPhi && !isa<SelectInst>(Cur) &&
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!isa<ICmpInst>(Cur) && !isa<FCmpInst>(Cur) &&
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!VisitedInsts.count(dyn_cast<Instruction>(Cur->getOperand(0))))
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return false;
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// Any reduction instruction must be of one of the allowed kinds.
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ReduxDesc = isReductionInstr(Cur, Kind, ReduxDesc);
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if (!ReduxDesc.IsReduction)
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return false;
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// A reduction operation must only have one use of the reduction value.
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if (!IsAPhi && Kind != RK_IntegerMinMax && Kind != RK_FloatMinMax &&
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hasMultipleUsesOf(Cur, VisitedInsts))
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return false;
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// All inputs to a PHI node must be a reduction value.
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if(IsAPhi && Cur != Phi && !areAllUsesIn(Cur, VisitedInsts))
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return false;
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if (Kind == RK_IntegerMinMax && (isa<ICmpInst>(Cur) ||
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isa<SelectInst>(Cur)))
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++NumCmpSelectPatternInst;
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if (Kind == RK_FloatMinMax && (isa<FCmpInst>(Cur) ||
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isa<SelectInst>(Cur)))
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++NumCmpSelectPatternInst;
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// Check whether we found a reduction operator.
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FoundReduxOp |= !IsAPhi;
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// Process users of current instruction. Push non PHI nodes after PHI nodes
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// onto the stack. This way we are going to have seen all inputs to PHI
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// nodes once we get to them.
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SmallVector<Instruction *, 8> NonPHIs;
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SmallVector<Instruction *, 8> PHIs;
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for (Value::use_iterator UI = Cur->use_begin(), E = Cur->use_end(); UI != E;
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++UI) {
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Instruction *Usr = cast<Instruction>(*UI);
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// Check if we found the exit user.
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BasicBlock *Parent = U->getParent();
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BasicBlock *Parent = Usr->getParent();
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if (!TheLoop->contains(Parent)) {
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// Exit if you find multiple outside users.
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if (ExitInstruction != 0)
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return false;
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ExitInstruction = Iter;
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ExitInstruction = Cur;
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continue;
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}
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// We allow in-loop PHINodes which are not the original reduction PHI
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// node. If this PHI is the only user of Iter (happens in IF w/ no ELSE
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// structure) then don't skip this PHI.
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if (isa<PHINode>(Iter) && isa<PHINode>(U) &&
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U->getParent() != TheLoop->getHeader() &&
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TheLoop->contains(U) &&
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Iter->hasNUsesOrMore(2))
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continue;
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// We can't have multiple inside users except for a combination of
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// icmp/select both using the phi.
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if (FoundInBlockUser && !NumCmpSelectPatternInst)
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return false;
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FoundInBlockUser = true;
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// Any reduction instr must be of one of the allowed kinds.
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ReduxDesc = isReductionInstr(U, Kind, ReduxDesc);
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if (!ReduxDesc.IsReduction)
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return false;
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if (Kind == RK_IntegerMinMax && (isa<ICmpInst>(U) || isa<SelectInst>(U)))
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++NumCmpSelectPatternInst;
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if (Kind == RK_FloatMinMax && (isa<FCmpInst>(U) || isa<SelectInst>(U)))
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++NumCmpSelectPatternInst;
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// Reductions of instructions such as Div, and Sub is only
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// possible if the LHS is the reduction variable.
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if (!U->isCommutative() && !isa<PHINode>(U) && !isa<SelectInst>(U) &&
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!isa<ICmpInst>(U) && !isa<FCmpInst>(U) && U->getOperand(0) != Iter)
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return false;
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Iter = ReduxDesc.PatternLastInst;
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}
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// This means we have seen one but not the other instruction of the
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// pattern or more than just a select and cmp.
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if ((Kind == RK_IntegerMinMax || Kind == RK_FloatMinMax) &&
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NumCmpSelectPatternInst != 2)
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return false;
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// We found a reduction var if we have reached the original
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// phi node and we only have a single instruction with out-of-loop
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// users.
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if (FoundStartPHI) {
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// This instruction is allowed to have out-of-loop users.
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AllowedExit.insert(ExitInstruction);
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// Save the description of this reduction variable.
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ReductionDescriptor RD(RdxStart, ExitInstruction, Kind,
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ReduxDesc.MinMaxKind);
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Reductions[Phi] = RD;
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// We've ended the cycle. This is a reduction variable if we have an
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// outside user and it has a binary op.
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return FoundBinOp && ExitInstruction;
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// Process instructions only once (termination).
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if (VisitedInsts.insert(Usr)) {
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if (isa<PHINode>(Usr))
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PHIs.push_back(Usr);
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else
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NonPHIs.push_back(Usr);
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}
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// Remember that we completed the cycle.
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if (Usr == Phi)
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FoundStartPHI = true;
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}
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Worklist.append(PHIs.begin(), PHIs.end());
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Worklist.append(NonPHIs.begin(), NonPHIs.end());
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}
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return false;
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// This means we have seen one but not the other instruction of the
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// pattern or more than just a select and cmp.
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if ((Kind == RK_IntegerMinMax || Kind == RK_FloatMinMax) &&
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NumCmpSelectPatternInst != 2)
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return false;
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if (!FoundStartPHI || !FoundReduxOp || !ExitInstruction)
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return false;
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// We found a reduction var if we have reached the original phi node and we
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// only have a single instruction with out-of-loop users.
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// This instruction is allowed to have out-of-loop users.
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AllowedExit.insert(ExitInstruction);
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// Save the description of this reduction variable.
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ReductionDescriptor RD(RdxStart, ExitInstruction, Kind,
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ReduxDesc.MinMaxKind);
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Reductions[Phi] = RD;
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// We've ended the cycle. This is a reduction variable if we have an
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// outside user and it has a binary op.
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return true;
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}
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/// Returns true if the instruction is a Select(ICmp(X, Y), X, Y) instruction
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@ -323,3 +323,122 @@ for.end: ; preds = %for.body, %entry
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%x.0.lcssa = phi i32 [ 0, %entry ], [ %sub, %for.body ]
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ret i32 %x.0.lcssa
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}
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; We can vectorize conditional reductions with multi-input phis.
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; CHECK: reduction_conditional
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; CHECK: fadd <4 x float>
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define float @reduction_conditional(float* %A, float* %B, float* %C, float %S) {
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entry:
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br label %for.body
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for.body:
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%indvars.iv = phi i64 [ 0, %entry ], [ %indvars.iv.next, %for.inc ]
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%sum.033 = phi float [ %S, %entry ], [ %sum.1, %for.inc ]
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%arrayidx = getelementptr inbounds float* %A, i64 %indvars.iv
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%0 = load float* %arrayidx, align 4
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%arrayidx2 = getelementptr inbounds float* %B, i64 %indvars.iv
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%1 = load float* %arrayidx2, align 4
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%cmp3 = fcmp ogt float %0, %1
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br i1 %cmp3, label %if.then, label %for.inc
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if.then:
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%cmp6 = fcmp ogt float %1, 1.000000e+00
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br i1 %cmp6, label %if.then8, label %if.else
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if.then8:
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%add = fadd fast float %sum.033, %0
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br label %for.inc
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if.else:
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%cmp14 = fcmp ogt float %0, 2.000000e+00
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br i1 %cmp14, label %if.then16, label %for.inc
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if.then16:
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%add19 = fadd fast float %sum.033, %1
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br label %for.inc
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for.inc:
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%sum.1 = phi float [ %add, %if.then8 ], [ %add19, %if.then16 ], [ %sum.033, %if.else ], [ %sum.033, %for.body ]
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%indvars.iv.next = add i64 %indvars.iv, 1
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%lftr.wideiv = trunc i64 %indvars.iv.next to i32
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%exitcond = icmp ne i32 %lftr.wideiv, 128
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br i1 %exitcond, label %for.body, label %for.end
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for.end:
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%sum.1.lcssa = phi float [ %sum.1, %for.inc ]
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ret float %sum.1.lcssa
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}
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; We can't vectorize reductions with phi inputs from outside the reduction.
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; CHECK: noreduction_phi
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; CHECK-NOT: fadd <4 x float>
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define float @noreduction_phi(float* %A, float* %B, float* %C, float %S) {
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entry:
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br label %for.body
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for.body:
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%indvars.iv = phi i64 [ 0, %entry ], [ %indvars.iv.next, %for.inc ]
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%sum.033 = phi float [ %S, %entry ], [ %sum.1, %for.inc ]
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%arrayidx = getelementptr inbounds float* %A, i64 %indvars.iv
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%0 = load float* %arrayidx, align 4
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%arrayidx2 = getelementptr inbounds float* %B, i64 %indvars.iv
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%1 = load float* %arrayidx2, align 4
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%cmp3 = fcmp ogt float %0, %1
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br i1 %cmp3, label %if.then, label %for.inc
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if.then:
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%cmp6 = fcmp ogt float %1, 1.000000e+00
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br i1 %cmp6, label %if.then8, label %if.else
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if.then8:
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%add = fadd fast float %sum.033, %0
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br label %for.inc
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if.else:
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%cmp14 = fcmp ogt float %0, 2.000000e+00
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br i1 %cmp14, label %if.then16, label %for.inc
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if.then16:
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%add19 = fadd fast float %sum.033, %1
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br label %for.inc
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for.inc:
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%sum.1 = phi float [ %add, %if.then8 ], [ %add19, %if.then16 ], [ 0.000000e+00, %if.else ], [ %sum.033, %for.body ]
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%indvars.iv.next = add i64 %indvars.iv, 1
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%lftr.wideiv = trunc i64 %indvars.iv.next to i32
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%exitcond = icmp ne i32 %lftr.wideiv, 128
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br i1 %exitcond, label %for.body, label %for.end
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for.end:
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%sum.1.lcssa = phi float [ %sum.1, %for.inc ]
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ret float %sum.1.lcssa
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}
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; We can't vectorize reductions that feed another header PHI.
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; CHECK: noredux_header_phi
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; CHECK-NOT: fadd <4 x float>
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define float @noredux_header_phi(float* %A, float* %B, float* %C, float %S) {
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entry:
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br label %for.body
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for.body:
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%indvars.iv = phi i64 [ 0, %entry ], [ %indvars.iv.next, %for.body ]
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%sum2.09 = phi float [ 0.000000e+00, %entry ], [ %add1, %for.body ]
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%sum.08 = phi float [ %S, %entry ], [ %add, %for.body ]
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%arrayidx = getelementptr inbounds float* %B, i64 %indvars.iv
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%0 = load float* %arrayidx, align 4
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%add = fadd fast float %sum.08, %0
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%add1 = fadd fast float %sum2.09, %add
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%indvars.iv.next = add i64 %indvars.iv, 1
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%lftr.wideiv = trunc i64 %indvars.iv.next to i32
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%exitcond = icmp ne i32 %lftr.wideiv, 128
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br i1 %exitcond, label %for.body, label %for.end
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for.end:
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%add1.lcssa = phi float [ %add1, %for.body ]
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%add.lcssa = phi float [ %add, %for.body ]
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%add2 = fadd fast float %add.lcssa, %add1.lcssa
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ret float %add2
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}
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