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488 lines
15 KiB
C++
488 lines
15 KiB
C++
//===-- X86PartialReduction.cpp -------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This pass looks for add instructions used by a horizontal reduction to see
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// if we might be able to use pmaddwd or psadbw. Some cases of this require
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// cross basic block knowledge and can't be done in SelectionDAG.
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//
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//===----------------------------------------------------------------------===//
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#include "X86.h"
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#include "llvm/Analysis/ValueTracking.h"
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#include "llvm/CodeGen/TargetPassConfig.h"
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#include "llvm/IR/Constants.h"
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#include "llvm/IR/Instructions.h"
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#include "llvm/IR/IntrinsicsX86.h"
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#include "llvm/IR/IRBuilder.h"
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#include "llvm/IR/Operator.h"
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#include "llvm/Pass.h"
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#include "X86TargetMachine.h"
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using namespace llvm;
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#define DEBUG_TYPE "x86-partial-reduction"
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namespace {
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class X86PartialReduction : public FunctionPass {
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const DataLayout *DL;
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const X86Subtarget *ST;
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public:
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static char ID; // Pass identification, replacement for typeid.
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X86PartialReduction() : FunctionPass(ID) { }
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bool runOnFunction(Function &Fn) override;
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void getAnalysisUsage(AnalysisUsage &AU) const override {
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AU.setPreservesCFG();
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}
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StringRef getPassName() const override {
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return "X86 Partial Reduction";
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}
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private:
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bool tryMAddReplacement(Instruction *Op);
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bool trySADReplacement(Instruction *Op);
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};
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}
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FunctionPass *llvm::createX86PartialReductionPass() {
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return new X86PartialReduction();
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}
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char X86PartialReduction::ID = 0;
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INITIALIZE_PASS(X86PartialReduction, DEBUG_TYPE,
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"X86 Partial Reduction", false, false)
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bool X86PartialReduction::tryMAddReplacement(Instruction *Op) {
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if (!ST->hasSSE2())
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return false;
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// Need at least 8 elements.
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if (cast<FixedVectorType>(Op->getType())->getNumElements() < 8)
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return false;
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// Element type should be i32.
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if (!cast<VectorType>(Op->getType())->getElementType()->isIntegerTy(32))
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return false;
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auto *Mul = dyn_cast<BinaryOperator>(Op);
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if (!Mul || Mul->getOpcode() != Instruction::Mul)
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return false;
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Value *LHS = Mul->getOperand(0);
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Value *RHS = Mul->getOperand(1);
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// LHS and RHS should be only used once or if they are the same then only
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// used twice. Only check this when SSE4.1 is enabled and we have zext/sext
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// instructions, otherwise we use punpck to emulate zero extend in stages. The
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// trunc/ we need to do likely won't introduce new instructions in that case.
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if (ST->hasSSE41()) {
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if (LHS == RHS) {
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if (!isa<Constant>(LHS) && !LHS->hasNUses(2))
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return false;
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} else {
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if (!isa<Constant>(LHS) && !LHS->hasOneUse())
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return false;
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if (!isa<Constant>(RHS) && !RHS->hasOneUse())
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return false;
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}
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}
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auto CanShrinkOp = [&](Value *Op) {
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auto IsFreeTruncation = [&](Value *Op) {
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if (auto *Cast = dyn_cast<CastInst>(Op)) {
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if (Cast->getParent() == Mul->getParent() &&
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(Cast->getOpcode() == Instruction::SExt ||
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Cast->getOpcode() == Instruction::ZExt) &&
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Cast->getOperand(0)->getType()->getScalarSizeInBits() <= 16)
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return true;
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}
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return isa<Constant>(Op);
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};
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// If the operation can be freely truncated and has enough sign bits we
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// can shrink.
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if (IsFreeTruncation(Op) &&
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ComputeNumSignBits(Op, *DL, 0, nullptr, Mul) > 16)
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return true;
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// SelectionDAG has limited support for truncating through an add or sub if
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// the inputs are freely truncatable.
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if (auto *BO = dyn_cast<BinaryOperator>(Op)) {
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if (BO->getParent() == Mul->getParent() &&
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IsFreeTruncation(BO->getOperand(0)) &&
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IsFreeTruncation(BO->getOperand(1)) &&
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ComputeNumSignBits(Op, *DL, 0, nullptr, Mul) > 16)
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return true;
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}
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return false;
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};
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// Both Ops need to be shrinkable.
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if (!CanShrinkOp(LHS) && !CanShrinkOp(RHS))
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return false;
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IRBuilder<> Builder(Mul);
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auto *MulTy = cast<FixedVectorType>(Op->getType());
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unsigned NumElts = MulTy->getNumElements();
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// Extract even elements and odd elements and add them together. This will
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// be pattern matched by SelectionDAG to pmaddwd. This instruction will be
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// half the original width.
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SmallVector<int, 16> EvenMask(NumElts / 2);
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SmallVector<int, 16> OddMask(NumElts / 2);
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for (int i = 0, e = NumElts / 2; i != e; ++i) {
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EvenMask[i] = i * 2;
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OddMask[i] = i * 2 + 1;
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}
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// Creating a new mul so the replaceAllUsesWith below doesn't replace the
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// uses in the shuffles we're creating.
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Value *NewMul = Builder.CreateMul(Mul->getOperand(0), Mul->getOperand(1));
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Value *EvenElts = Builder.CreateShuffleVector(NewMul, NewMul, EvenMask);
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Value *OddElts = Builder.CreateShuffleVector(NewMul, NewMul, OddMask);
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Value *MAdd = Builder.CreateAdd(EvenElts, OddElts);
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// Concatenate zeroes to extend back to the original type.
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SmallVector<int, 32> ConcatMask(NumElts);
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std::iota(ConcatMask.begin(), ConcatMask.end(), 0);
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Value *Zero = Constant::getNullValue(MAdd->getType());
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Value *Concat = Builder.CreateShuffleVector(MAdd, Zero, ConcatMask);
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Mul->replaceAllUsesWith(Concat);
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Mul->eraseFromParent();
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return true;
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}
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bool X86PartialReduction::trySADReplacement(Instruction *Op) {
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if (!ST->hasSSE2())
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return false;
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// TODO: There's nothing special about i32, any integer type above i16 should
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// work just as well.
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if (!cast<VectorType>(Op->getType())->getElementType()->isIntegerTy(32))
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return false;
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// Operand should be a select.
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auto *SI = dyn_cast<SelectInst>(Op);
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if (!SI)
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return false;
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// Select needs to implement absolute value.
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Value *LHS, *RHS;
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auto SPR = matchSelectPattern(SI, LHS, RHS);
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if (SPR.Flavor != SPF_ABS)
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return false;
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// Need a subtract of two values.
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auto *Sub = dyn_cast<BinaryOperator>(LHS);
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if (!Sub || Sub->getOpcode() != Instruction::Sub)
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return false;
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// Look for zero extend from i8.
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auto getZeroExtendedVal = [](Value *Op) -> Value * {
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if (auto *ZExt = dyn_cast<ZExtInst>(Op))
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if (cast<VectorType>(ZExt->getOperand(0)->getType())
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->getElementType()
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->isIntegerTy(8))
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return ZExt->getOperand(0);
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return nullptr;
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};
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// Both operands of the subtract should be extends from vXi8.
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Value *Op0 = getZeroExtendedVal(Sub->getOperand(0));
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Value *Op1 = getZeroExtendedVal(Sub->getOperand(1));
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if (!Op0 || !Op1)
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return false;
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IRBuilder<> Builder(SI);
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auto *OpTy = cast<FixedVectorType>(Op->getType());
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unsigned NumElts = OpTy->getNumElements();
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unsigned IntrinsicNumElts;
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Intrinsic::ID IID;
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if (ST->hasBWI() && NumElts >= 64) {
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IID = Intrinsic::x86_avx512_psad_bw_512;
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IntrinsicNumElts = 64;
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} else if (ST->hasAVX2() && NumElts >= 32) {
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IID = Intrinsic::x86_avx2_psad_bw;
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IntrinsicNumElts = 32;
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} else {
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IID = Intrinsic::x86_sse2_psad_bw;
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IntrinsicNumElts = 16;
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}
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Function *PSADBWFn = Intrinsic::getDeclaration(SI->getModule(), IID);
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if (NumElts < 16) {
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// Pad input with zeroes.
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SmallVector<int, 32> ConcatMask(16);
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for (unsigned i = 0; i != NumElts; ++i)
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ConcatMask[i] = i;
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for (unsigned i = NumElts; i != 16; ++i)
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ConcatMask[i] = (i % NumElts) + NumElts;
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Value *Zero = Constant::getNullValue(Op0->getType());
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Op0 = Builder.CreateShuffleVector(Op0, Zero, ConcatMask);
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Op1 = Builder.CreateShuffleVector(Op1, Zero, ConcatMask);
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NumElts = 16;
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}
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// Intrinsics produce vXi64 and need to be casted to vXi32.
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auto *I32Ty =
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FixedVectorType::get(Builder.getInt32Ty(), IntrinsicNumElts / 4);
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assert(NumElts % IntrinsicNumElts == 0 && "Unexpected number of elements!");
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unsigned NumSplits = NumElts / IntrinsicNumElts;
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// First collect the pieces we need.
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SmallVector<Value *, 4> Ops(NumSplits);
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for (unsigned i = 0; i != NumSplits; ++i) {
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SmallVector<int, 64> ExtractMask(IntrinsicNumElts);
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std::iota(ExtractMask.begin(), ExtractMask.end(), i * IntrinsicNumElts);
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Value *ExtractOp0 = Builder.CreateShuffleVector(Op0, Op0, ExtractMask);
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Value *ExtractOp1 = Builder.CreateShuffleVector(Op1, Op0, ExtractMask);
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Ops[i] = Builder.CreateCall(PSADBWFn, {ExtractOp0, ExtractOp1});
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Ops[i] = Builder.CreateBitCast(Ops[i], I32Ty);
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}
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assert(isPowerOf2_32(NumSplits) && "Expected power of 2 splits");
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unsigned Stages = Log2_32(NumSplits);
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for (unsigned s = Stages; s > 0; --s) {
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unsigned NumConcatElts =
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cast<FixedVectorType>(Ops[0]->getType())->getNumElements() * 2;
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for (unsigned i = 0; i != 1U << (s - 1); ++i) {
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SmallVector<int, 64> ConcatMask(NumConcatElts);
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std::iota(ConcatMask.begin(), ConcatMask.end(), 0);
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Ops[i] = Builder.CreateShuffleVector(Ops[i*2], Ops[i*2+1], ConcatMask);
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}
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}
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// At this point the final value should be in Ops[0]. Now we need to adjust
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// it to the final original type.
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NumElts = cast<FixedVectorType>(OpTy)->getNumElements();
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if (NumElts == 2) {
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// Extract down to 2 elements.
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Ops[0] = Builder.CreateShuffleVector(Ops[0], Ops[0], ArrayRef<int>{0, 1});
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} else if (NumElts >= 8) {
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SmallVector<int, 32> ConcatMask(NumElts);
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unsigned SubElts =
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cast<FixedVectorType>(Ops[0]->getType())->getNumElements();
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for (unsigned i = 0; i != SubElts; ++i)
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ConcatMask[i] = i;
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for (unsigned i = SubElts; i != NumElts; ++i)
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ConcatMask[i] = (i % SubElts) + SubElts;
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Value *Zero = Constant::getNullValue(Ops[0]->getType());
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Ops[0] = Builder.CreateShuffleVector(Ops[0], Zero, ConcatMask);
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}
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SI->replaceAllUsesWith(Ops[0]);
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SI->eraseFromParent();
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return true;
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}
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// Walk backwards from the ExtractElementInst and determine if it is the end of
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// a horizontal reduction. Return the input to the reduction if we find one.
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static Value *matchAddReduction(const ExtractElementInst &EE) {
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// Make sure we're extracting index 0.
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auto *Index = dyn_cast<ConstantInt>(EE.getIndexOperand());
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if (!Index || !Index->isNullValue())
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return nullptr;
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const auto *BO = dyn_cast<BinaryOperator>(EE.getVectorOperand());
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if (!BO || BO->getOpcode() != Instruction::Add || !BO->hasOneUse())
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return nullptr;
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unsigned NumElems = cast<FixedVectorType>(BO->getType())->getNumElements();
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// Ensure the reduction size is a power of 2.
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if (!isPowerOf2_32(NumElems))
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return nullptr;
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const Value *Op = BO;
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unsigned Stages = Log2_32(NumElems);
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for (unsigned i = 0; i != Stages; ++i) {
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const auto *BO = dyn_cast<BinaryOperator>(Op);
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if (!BO || BO->getOpcode() != Instruction::Add)
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return nullptr;
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// If this isn't the first add, then it should only have 2 users, the
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// shuffle and another add which we checked in the previous iteration.
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if (i != 0 && !BO->hasNUses(2))
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return nullptr;
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Value *LHS = BO->getOperand(0);
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Value *RHS = BO->getOperand(1);
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auto *Shuffle = dyn_cast<ShuffleVectorInst>(LHS);
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if (Shuffle) {
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Op = RHS;
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} else {
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Shuffle = dyn_cast<ShuffleVectorInst>(RHS);
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Op = LHS;
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}
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// The first operand of the shuffle should be the same as the other operand
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// of the bin op.
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if (!Shuffle || Shuffle->getOperand(0) != Op)
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return nullptr;
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// Verify the shuffle has the expected (at this stage of the pyramid) mask.
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unsigned MaskEnd = 1 << i;
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for (unsigned Index = 0; Index < MaskEnd; ++Index)
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if (Shuffle->getMaskValue(Index) != (int)(MaskEnd + Index))
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return nullptr;
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}
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return const_cast<Value *>(Op);
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}
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// See if this BO is reachable from this Phi by walking forward through single
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// use BinaryOperators with the same opcode. If we get back then we know we've
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// found a loop and it is safe to step through this Add to find more leaves.
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static bool isReachableFromPHI(PHINode *Phi, BinaryOperator *BO) {
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// The PHI itself should only have one use.
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if (!Phi->hasOneUse())
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return false;
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Instruction *U = cast<Instruction>(*Phi->user_begin());
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if (U == BO)
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return true;
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while (U->hasOneUse() && U->getOpcode() == BO->getOpcode())
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U = cast<Instruction>(*U->user_begin());
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return U == BO;
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}
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// Collect all the leaves of the tree of adds that feeds into the horizontal
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// reduction. Root is the Value that is used by the horizontal reduction.
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// We look through single use phis, single use adds, or adds that are used by
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// a phi that forms a loop with the add.
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static void collectLeaves(Value *Root, SmallVectorImpl<Instruction *> &Leaves) {
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SmallPtrSet<Value *, 8> Visited;
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SmallVector<Value *, 8> Worklist;
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Worklist.push_back(Root);
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while (!Worklist.empty()) {
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Value *V = Worklist.pop_back_val();
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if (!Visited.insert(V).second)
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continue;
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if (auto *PN = dyn_cast<PHINode>(V)) {
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// PHI node should have single use unless it is the root node, then it
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// has 2 uses.
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if (!PN->hasNUses(PN == Root ? 2 : 1))
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break;
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// Push incoming values to the worklist.
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append_range(Worklist, PN->incoming_values());
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continue;
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}
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if (auto *BO = dyn_cast<BinaryOperator>(V)) {
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if (BO->getOpcode() == Instruction::Add) {
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// Simple case. Single use, just push its operands to the worklist.
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if (BO->hasNUses(BO == Root ? 2 : 1)) {
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append_range(Worklist, BO->operands());
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continue;
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}
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// If there is additional use, make sure it is an unvisited phi that
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// gets us back to this node.
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if (BO->hasNUses(BO == Root ? 3 : 2)) {
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PHINode *PN = nullptr;
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for (auto *U : Root->users())
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if (auto *P = dyn_cast<PHINode>(U))
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if (!Visited.count(P))
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PN = P;
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// If we didn't find a 2-input PHI then this isn't a case we can
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// handle.
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if (!PN || PN->getNumIncomingValues() != 2)
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continue;
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// Walk forward from this phi to see if it reaches back to this add.
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if (!isReachableFromPHI(PN, BO))
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continue;
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// The phi forms a loop with this Add, push its operands.
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append_range(Worklist, BO->operands());
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}
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}
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}
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// Not an add or phi, make it a leaf.
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if (auto *I = dyn_cast<Instruction>(V)) {
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if (!V->hasNUses(I == Root ? 2 : 1))
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continue;
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// Add this as a leaf.
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Leaves.push_back(I);
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}
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}
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}
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bool X86PartialReduction::runOnFunction(Function &F) {
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if (skipFunction(F))
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return false;
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auto *TPC = getAnalysisIfAvailable<TargetPassConfig>();
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if (!TPC)
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return false;
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auto &TM = TPC->getTM<X86TargetMachine>();
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ST = TM.getSubtargetImpl(F);
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DL = &F.getParent()->getDataLayout();
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bool MadeChange = false;
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for (auto &BB : F) {
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for (auto &I : BB) {
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auto *EE = dyn_cast<ExtractElementInst>(&I);
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if (!EE)
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continue;
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// First find a reduction tree.
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// FIXME: Do we need to handle other opcodes than Add?
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Value *Root = matchAddReduction(*EE);
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if (!Root)
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continue;
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SmallVector<Instruction *, 8> Leaves;
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collectLeaves(Root, Leaves);
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for (Instruction *I : Leaves) {
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if (tryMAddReplacement(I)) {
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MadeChange = true;
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continue;
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}
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// Don't do SAD matching on the root node. SelectionDAG already
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// has support for that and currently generates better code.
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if (I != Root && trySADReplacement(I))
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MadeChange = true;
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}
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}
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}
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return MadeChange;
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}
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