[LoopVectorize][AArch64][SVE] Generate wide active lane masks

This patch makes the LoopVectorize generate lane masks longer than
the VF to allow the target to better utilise the instruction set.
The vectorizer emit one or more wide `llvm.get.active.lane.mask.*`
calls plus several `llvm.vector.extract.*` calls to yield the required
number of VF-wide masks.

The motivating exammple is a vectorised loop with unroll factor 2 that
can use the SVE2.1 `whilelo` instruction with predicate pair result, or
a SVE `whilelo` instruction with smaller element size plus
`punpklo`/`punpkhi`.

How wide is the lane mask that the vectoriser emits is controlled
by a TargetTransformInfo hook `getMaxPredicateLength`.The default
impementation (return the same length as the VF) keeps the
change non-functional for targets that can't or are not prepared
to handle wider lane masks.

Author: momchil-velikov

llvm/include/llvm/Analysis/TargetTransformInfo.h

@@ -1244,6 +1244,8 @@ class TargetTransformInfo {
   /// and the number of execution units in the CPU.
   unsigned getMaxInterleaveFactor(ElementCount VF) const;
 
+  ElementCount getMaxPredicateLength(ElementCount VF) const;
+
   /// Collect properties of V used in cost analysis, e.g. OP_PowerOf2.
   static OperandValueInfo getOperandInfo(const Value *V);
 
@@ -2002,6 +2004,9 @@ class TargetTransformInfo::Concept {
   virtual bool shouldPrefetchAddressSpace(unsigned AS) const = 0;
 
   virtual unsigned getMaxInterleaveFactor(ElementCount VF) = 0;
+
+  virtual ElementCount getMaxPredicateLength(ElementCount VF) const = 0;
+
   virtual InstructionCost getArithmeticInstrCost(
       unsigned Opcode, Type *Ty, TTI::TargetCostKind CostKind,
       OperandValueInfo Opd1Info, OperandValueInfo Opd2Info,
@@ -2627,6 +2632,11 @@ class TargetTransformInfo::Model final : public TargetTransformInfo::Concept {
   unsigned getMaxInterleaveFactor(ElementCount VF) override {
     return Impl.getMaxInterleaveFactor(VF);
   }
+
+  ElementCount getMaxPredicateLength(ElementCount VF) const override {
+    return Impl.getMaxPredicateLength(VF);
+  }
+
   unsigned getEstimatedNumberOfCaseClusters(const SwitchInst &SI,
                                             unsigned &JTSize,
                                             ProfileSummaryInfo *PSI,

llvm/include/llvm/Analysis/TargetTransformInfoImpl.h

@@ -537,6 +537,8 @@ class TargetTransformInfoImplBase {
 
   unsigned getMaxInterleaveFactor(ElementCount VF) const { return 1; }
 
+  ElementCount getMaxPredicateLength(ElementCount VF) const { return VF; }
+
   InstructionCost getArithmeticInstrCost(
       unsigned Opcode, Type *Ty, TTI::TargetCostKind CostKind,
       TTI::OperandValueInfo Opd1Info, TTI::OperandValueInfo Opd2Info,

llvm/include/llvm/CodeGen/BasicTTIImpl.h

@@ -890,6 +890,8 @@ class BasicTTIImplBase : public TargetTransformInfoImplCRTPBase<T> {
 
   unsigned getMaxInterleaveFactor(ElementCount VF) { return 1; }
 
+  ElementCount getMaxPredicateLength(ElementCount VF) const { return VF; }
+
   InstructionCost getArithmeticInstrCost(
       unsigned Opcode, Type *Ty, TTI::TargetCostKind CostKind,
       TTI::OperandValueInfo Opd1Info = {TTI::OK_AnyValue, TTI::OP_None},

llvm/lib/Analysis/TargetTransformInfo.cpp

@@ -821,6 +821,10 @@ unsigned TargetTransformInfo::getMaxInterleaveFactor(ElementCount VF) const {
   return TTIImpl->getMaxInterleaveFactor(VF);
 }
 
+ElementCount TargetTransformInfo::getMaxPredicateLength(ElementCount VF) const {
+  return TTIImpl->getMaxPredicateLength(VF);
+}
+
 TargetTransformInfo::OperandValueInfo
 TargetTransformInfo::getOperandInfo(const Value *V) {
   OperandValueKind OpInfo = OK_AnyValue;

llvm/lib/Target/AArch64/AArch64TargetTransformInfo.cpp

@@ -3383,6 +3383,15 @@ unsigned AArch64TTIImpl::getMaxInterleaveFactor(ElementCount VF) {
   return ST->getMaxInterleaveFactor();
 }
 
+ElementCount AArch64TTIImpl::getMaxPredicateLength(ElementCount VF) const {
+  // Do not create masks bigger than `<vscale x 16 x i1>`.
+  unsigned N = ST->hasSVE() ? 16 : 0;
+  // Do not create masks that are more than twice the VF.
+  N = std::min(N, 2 * VF.getKnownMinValue());
+  return VF.isScalable() ? ElementCount::getScalable(N)
+                         : ElementCount::getFixed(N);
+}
+
 // For Falkor, we want to avoid having too many strided loads in a loop since
 // that can exhaust the HW prefetcher resources.  We adjust the unroller
 // MaxCount preference below to attempt to ensure unrolling doesn't create too

llvm/lib/Target/AArch64/AArch64TargetTransformInfo.h

@@ -157,6 +157,8 @@ class AArch64TTIImpl : public BasicTTIImplBase<AArch64TTIImpl> {
 
   unsigned getMaxInterleaveFactor(ElementCount VF);
 
+  ElementCount getMaxPredicateLength(ElementCount VF) const;
+
   bool prefersVectorizedAddressing() const;
 
   InstructionCost getMaskedMemoryOpCost(unsigned Opcode, Type *Src,

llvm/lib/Transforms/Vectorize/LoopVectorizationPlanner.h

@@ -202,6 +202,14 @@ class VPBuilder {
   VPValue *createICmp(CmpInst::Predicate Pred, VPValue *A, VPValue *B,
                       DebugLoc DL = {}, const Twine &Name = "");
 
+  VPValue *createGetActiveLaneMask(VPValue *IV, VPValue *TC, DebugLoc DL,
+                                   const Twine &Name = "") {
+    auto *ALM = new VPActiveLaneMaskRecipe(IV, TC, DL, Name);
+    if (BB)
+      BB->insert(ALM, InsertPt);
+    return ALM;
+  }
+
   //===--------------------------------------------------------------------===//
   // RAII helpers.
   //===--------------------------------------------------------------------===//

llvm/lib/Transforms/Vectorize/LoopVectorize.cpp

@@ -588,6 +588,10 @@ class InnerLoopVectorizer {
   /// count of the original loop for both main loop and epilogue vectorization.
   void setTripCount(Value *TC) { TripCount = TC; }
 
+  ElementCount getMaxPredicateLength(ElementCount VF) const {
+    return TTI->getMaxPredicateLength(VF);
+  }
+
 protected:
   friend class LoopVectorizationPlanner;
 
@@ -7509,7 +7513,8 @@ LoopVectorizationPlanner::executePlan(
   LLVM_DEBUG(BestVPlan.dump());
 
   // Perform the actual loop transformation.
-  VPTransformState State(BestVF, BestUF, LI, DT, ILV.Builder, &ILV, &BestVPlan,
+  VPTransformState State(BestVF, BestUF, TTI.getMaxPredicateLength(BestVF), LI,
+                         DT, ILV.Builder, &ILV, &BestVPlan,
                          OrigLoop->getHeader()->getContext());
 
   // 0. Generate SCEV-dependent code into the preheader, including TripCount,

llvm/lib/Transforms/Vectorize/VPlan.cpp

@@ -215,12 +215,13 @@ VPBasicBlock::iterator VPBasicBlock::getFirstNonPhi() {
   return It;
 }
 
-VPTransformState::VPTransformState(ElementCount VF, unsigned UF, LoopInfo *LI,
+VPTransformState::VPTransformState(ElementCount VF, unsigned UF,
+                                   ElementCount MaxPred, LoopInfo *LI,
                                    DominatorTree *DT, IRBuilderBase &Builder,
                                    InnerLoopVectorizer *ILV, VPlan *Plan,
                                    LLVMContext &Ctx)
-    : VF(VF), UF(UF), CFG(DT), LI(LI), Builder(Builder), ILV(ILV), Plan(Plan),
-      LVer(nullptr),
+    : VF(VF), UF(UF), MaxPred(MaxPred), CFG(DT), LI(LI), Builder(Builder),
+      ILV(ILV), Plan(Plan), LVer(nullptr),
       TypeAnalysis(Plan->getCanonicalIV()->getScalarType(), Ctx) {}
 
 Value *VPTransformState::get(VPValue *Def, const VPIteration &Instance) {

llvm/lib/Transforms/Vectorize/VPlan.h

@@ -235,13 +235,14 @@ struct VPIteration {
 /// VPTransformState holds information passed down when "executing" a VPlan,
 /// needed for generating the output IR.
 struct VPTransformState {
-  VPTransformState(ElementCount VF, unsigned UF, LoopInfo *LI,
-                   DominatorTree *DT, IRBuilderBase &Builder,
+  VPTransformState(ElementCount VF, unsigned UF, ElementCount MaxPred,
+                   LoopInfo *LI, DominatorTree *DT, IRBuilderBase &Builder,
                    InnerLoopVectorizer *ILV, VPlan *Plan, LLVMContext &Ctx);
 
   /// The chosen Vectorization and Unroll Factors of the loop being vectorized.
   ElementCount VF;
   unsigned UF;
+  ElementCount MaxPred;
 
   /// Hold the indices to generate specific scalar instructions. Null indicates
   /// that all instances are to be generated, using either scalar or vector
@@ -1174,7 +1175,6 @@ class VPInstruction : public VPRecipeWithIRFlags {
     Not,
     SLPLoad,
     SLPStore,
-    ActiveLaneMask,
     ExplicitVectorLength,
     CalculateTripCountMinusVF,
     // Increment the canonical IV separately for each unrolled part.
@@ -1329,6 +1329,50 @@ class VPInstruction : public VPRecipeWithIRFlags {
   }
 };
 
+class VPActiveLaneMaskRecipe : public VPRecipeWithIRFlags {
+  const std::string Name;
+
+public:
+  VPActiveLaneMaskRecipe(VPValue *IV, VPValue *TC, DebugLoc DL = {},
+                         const Twine &Name = "")
+      : VPRecipeWithIRFlags(VPDef::VPActiveLaneMaskSC,
+                            std::initializer_list<VPValue *>{IV, TC}, DL),
+        Name(Name.str()) {}
+
+  VP_CLASSOF_IMPL(VPDef::VPActiveLaneMaskSC)
+
+  VPActiveLaneMaskRecipe *clone() override {
+    SmallVector<VPValue *, 2> Operands(operands());
+    assert(Operands.size() == 2 && "by construction");
+    auto *New = new VPActiveLaneMaskRecipe(Operands[0], Operands[1],
+                                           getDebugLoc(), Name);
+    New->transferFlags(*this);
+    return New;
+  }
+
+  void execute(VPTransformState &State) override;
+
+#if !defined(NDEBUG) || defined(LLVM_ENABLE_DUMP)
+  /// Print the recipe.
+  void print(raw_ostream &O, const Twine &Indent,
+             VPSlotTracker &SlotTracker) const override;
+#endif
+
+  bool onlyFirstLaneUsed(const VPValue *Op) const override {
+    assert(is_contained(operands(), Op) &&
+           "Op must be an operand of the recipe");
+
+    return true;
+  }
+
+  bool onlyFirstPartUsed(const VPValue *Op) const override {
+    assert(is_contained(operands(), Op) &&
+           "Op must be an operand of the recipe");
+
+    return false;
+  }
+};
+
 /// VPWidenRecipe is a recipe for producing a copy of vector type its
 /// ingredient. This recipe covers most of the traditional vectorization cases
 /// where each ingredient transforms into a vectorized version of itself.

llvm/lib/Transforms/Vectorize/VPlanPatternMatch.h

@@ -221,11 +221,6 @@ m_BranchOnCond(const Op0_t &Op0) {
   return m_VPInstruction<VPInstruction::BranchOnCond>(Op0);
 }
 
-template <typename Op0_t, typename Op1_t>
-inline BinaryVPInstruction_match<Op0_t, Op1_t, VPInstruction::ActiveLaneMask>
-m_ActiveLaneMask(const Op0_t &Op0, const Op1_t &Op1) {
-  return m_VPInstruction<VPInstruction::ActiveLaneMask>(Op0, Op1);
-}
 
 template <typename Op0_t, typename Op1_t>
 inline BinaryVPInstruction_match<Op0_t, Op1_t, VPInstruction::BranchOnCount>
@@ -296,6 +291,35 @@ inline BinaryVPInstruction_match<Op0_t, Op1_t, VPInstruction::LogicalAnd>
 m_LogicalAnd(const Op0_t &Op0, const Op1_t &Op1) {
   return m_VPInstruction<VPInstruction::LogicalAnd, Op0_t, Op1_t>(Op0, Op1);
 }
+
+template <typename Op0_t, typename Op1_t>
+struct VPActiveLaneMask_match {
+  Op0_t Op0;
+  Op1_t Op1;
+
+  VPActiveLaneMask_match(Op0_t Op0, Op1_t Op1) : Op0(Op0), Op1(Op1) {}
+
+  bool match(const VPValue *V) {
+    auto *DefR = V->getDefiningRecipe();
+    return DefR && match(DefR);
+  }
+
+  bool match(const VPRecipeBase *R) {
+    auto *DefR = dyn_cast<VPActiveLaneMaskRecipe>(R);
+    if (!DefR)
+      return false;
+    assert(DefR->getNumOperands() == 2 &&
+           "recipe with matched opcode does not have 2 operands");
+    return Op0.match(DefR->getOperand(0)) && Op1.match(DefR->getOperand(1));
+  }
+};
+
+template <typename Op0_t, typename Op1_t>
+inline VPActiveLaneMask_match<Op0_t, Op1_t>
+m_ActiveLaneMask(const Op0_t &Op0, const Op1_t &Op1) {
+  return {Op0, Op1};
+}
+
 } // namespace VPlanPatternMatch
 } // namespace llvm
 

llvm/lib/Transforms/Vectorize/VPlanRecipes.cpp

@@ -351,24 +351,7 @@ Value *VPInstruction::generatePerPart(VPTransformState &State, unsigned Part) {
     Value *Op2 = State.get(getOperand(2), Part);
     return Builder.CreateSelect(Cond, Op1, Op2, Name);
   }
-  case VPInstruction::ActiveLaneMask: {
-    // Get first lane of vector induction variable.
-    Value *VIVElem0 = State.get(getOperand(0), VPIteration(Part, 0));
-    // Get the original loop tripcount.
-    Value *ScalarTC = State.get(getOperand(1), VPIteration(Part, 0));
 
-    // If this part of the active lane mask is scalar, generate the CMP directly
-    // to avoid unnecessary extracts.
-    if (State.VF.isScalar())
-      return Builder.CreateCmp(CmpInst::Predicate::ICMP_ULT, VIVElem0, ScalarTC,
-                               Name);
-
-    auto *Int1Ty = Type::getInt1Ty(Builder.getContext());
-    auto *PredTy = VectorType::get(Int1Ty, State.VF);
-    return Builder.CreateIntrinsic(Intrinsic::get_active_lane_mask,
-                                   {PredTy, ScalarTC->getType()},
-                                   {VIVElem0, ScalarTC}, nullptr, Name);
-  }
   case VPInstruction::FirstOrderRecurrenceSplice: {
     // Generate code to combine the previous and current values in vector v3.
     //
@@ -636,7 +619,6 @@ bool VPInstruction::onlyFirstLaneUsed(const VPValue *Op) const {
   case VPInstruction::PtrAdd:
     // TODO: Cover additional opcodes.
     return vputils::onlyFirstLaneUsed(this);
-  case VPInstruction::ActiveLaneMask:
   case VPInstruction::ExplicitVectorLength:
   case VPInstruction::CalculateTripCountMinusVF:
   case VPInstruction::CanonicalIVIncrementForPart:
@@ -671,9 +653,6 @@ void VPInstruction::print(raw_ostream &O, const Twine &Indent,
   case VPInstruction::SLPStore:
     O << "combined store";
     break;
-  case VPInstruction::ActiveLaneMask:
-    O << "active lane mask";
-    break;
   case VPInstruction::ExplicitVectorLength:
     O << "EXPLICIT-VECTOR-LENGTH";
     break;
@@ -713,8 +692,94 @@ void VPInstruction::print(raw_ostream &O, const Twine &Indent,
     DL.print(O);
   }
 }
+
+void VPActiveLaneMaskRecipe::print(raw_ostream &O, const Twine &Indent,
+                                   VPSlotTracker &SlotTracker) const {
+  O << Indent << "EMIT ";
+
+  printAsOperand(O, SlotTracker);
+  O << " = active lane mask";
+  printFlags(O);
+  printOperands(O, SlotTracker);
+
+  if (auto DL = getDebugLoc()) {
+    O << ", !dbg ";
+    DL.print(O);
+  }
+}
+
 #endif
 
+void VPActiveLaneMaskRecipe::execute(VPTransformState &State) {
+  assert(!State.Instance && "VPInstruction executing an Instance");
+
+  IRBuilderBase &Builder = State.Builder;
+  Builder.SetCurrentDebugLocation(getDebugLoc());
+
+  // If this the active lane mask is scalar, generate the CMP directly
+  // to avoid unnecessary extracts.
+  if (State.VF.isScalar()) {
+    for (int Part = State.UF - 1; Part >= 0; --Part) {
+      // Get first lane of vector induction variable.
+      Value *VIVElem0 = State.get(getOperand(0), VPIteration(Part, 0));
+      // Get the original loop tripcount.
+      Value *ScalarTC = State.get(getOperand(1), VPIteration(0, 0));
+
+      Value *V = Builder.CreateCmp(CmpInst::Predicate::ICMP_ULT, VIVElem0,
+                                   ScalarTC, Name);
+      State.set(this, V, Part);
+    }
+    return;
+  }
+
+  auto *Int1Ty = Type::getInt1Ty(Builder.getContext());
+  auto *PredTy = VectorType::get(Int1Ty, State.VF);
+
+  unsigned MaxPred = std::min(State.MaxPred.getKnownMinValue(),
+                              State.UF * State.VF.getKnownMinValue());
+  if (State.UF <= 1 || MaxPred <= State.VF.getKnownMinValue() ||
+      MaxPred % State.VF.getKnownMinValue() != 0) {
+    for (int Part = State.UF - 1; Part >= 0; --Part) {
+      // Get first lane of vector induction variable.
+      Value *VIVElem0 = State.get(getOperand(0), VPIteration(Part, 0));
+      // Get the original loop tripcount.
+      Value *ScalarTC = State.get(getOperand(1), VPIteration(0, 0));
+      Value *V = Builder.CreateIntrinsic(Intrinsic::get_active_lane_mask,
+                                         {PredTy, ScalarTC->getType()},
+                                         {VIVElem0, ScalarTC}, nullptr, Name);
+      State.set(this, V, Part);
+    }
+    return;
+  }
+
+  // Generate long active lane masks covering all the unrolled iterations.
+  unsigned PartsPerMask = MaxPred / State.VF.getKnownMinValue();
+  auto *LongPredTy = VectorType::get(Int1Ty, MaxPred, State.VF.isScalable());
+  SmallVector<Value *> LongMask(State.UF / PartsPerMask, nullptr);
+  for (int Part = State.UF - PartsPerMask; Part >= 0; Part -= PartsPerMask) {
+    // Get first lane of vector induction variable.
+    Value *VIVElem0 = State.get(getOperand(0), VPIteration(Part, 0));
+    // Get the original loop tripcount.
+    Value *ScalarTC = State.get(getOperand(1), VPIteration(0, 0));
+    Value *V = Builder.CreateIntrinsic(Intrinsic::get_active_lane_mask,
+                                       {LongPredTy, ScalarTC->getType()},
+                                       {VIVElem0, ScalarTC}, nullptr, Name);
+    LongMask[Part / PartsPerMask] = V;
+  }
+
+  for (int Part = State.UF - 1; Part >= 0; --Part) {
+    Value *ALM = LongMask[Part / PartsPerMask];
+    const unsigned I = Part % PartsPerMask;
+    Value *V = Builder.CreateIntrinsic(
+        Intrinsic::vector_extract, {PredTy, ALM->getType()},
+        {ALM, ConstantInt::get(Type::getInt64Ty(Builder.getContext()),
+                               I * State.VF.getKnownMinValue())},
+        nullptr, Name);
+
+    State.set(this, V, Part);
+  }
+}
+
 void VPWidenCallRecipe::execute(VPTransformState &State) {
   assert(State.VF.isVector() && "not widening");
   Function *CalledScalarFn = getCalledScalarFunction();