forked from OSchip/llvm-project
423 lines
17 KiB
C++
423 lines
17 KiB
C++
//===-- UnrollLoopRuntime.cpp - Runtime Loop unrolling utilities ----------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This file implements some loop unrolling utilities for loops with run-time
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// trip counts. See LoopUnroll.cpp for unrolling loops with compile-time
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// trip counts.
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//
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// The functions in this file are used to generate extra code when the
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// run-time trip count modulo the unroll factor is not 0. When this is the
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// case, we need to generate code to execute these 'left over' iterations.
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//
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// The current strategy generates an if-then-else sequence prior to the
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// unrolled loop to execute the 'left over' iterations. Other strategies
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// include generate a loop before or after the unrolled loop.
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//
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//===----------------------------------------------------------------------===//
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#include "llvm/Transforms/Utils/UnrollLoop.h"
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#include "llvm/ADT/Statistic.h"
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#include "llvm/Analysis/AliasAnalysis.h"
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#include "llvm/Analysis/LoopIterator.h"
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#include "llvm/Analysis/LoopPass.h"
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#include "llvm/Analysis/ScalarEvolution.h"
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#include "llvm/Analysis/ScalarEvolutionExpander.h"
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#include "llvm/IR/BasicBlock.h"
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#include "llvm/IR/Dominators.h"
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#include "llvm/IR/Metadata.h"
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#include "llvm/IR/Module.h"
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#include "llvm/Support/Debug.h"
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#include "llvm/Support/raw_ostream.h"
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#include "llvm/Transforms/Scalar.h"
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#include "llvm/Transforms/Utils/BasicBlockUtils.h"
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#include "llvm/Transforms/Utils/Cloning.h"
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#include <algorithm>
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using namespace llvm;
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#define DEBUG_TYPE "loop-unroll"
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STATISTIC(NumRuntimeUnrolled,
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"Number of loops unrolled with run-time trip counts");
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/// Connect the unrolling prolog code to the original loop.
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/// The unrolling prolog code contains code to execute the
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/// 'extra' iterations if the run-time trip count modulo the
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/// unroll count is non-zero.
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///
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/// This function performs the following:
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/// - Create PHI nodes at prolog end block to combine values
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/// that exit the prolog code and jump around the prolog.
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/// - Add a PHI operand to a PHI node at the loop exit block
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/// for values that exit the prolog and go around the loop.
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/// - Branch around the original loop if the trip count is less
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/// than the unroll factor.
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///
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static void ConnectProlog(Loop *L, Value *BECount, unsigned Count,
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BasicBlock *LastPrologBB, BasicBlock *PrologEnd,
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BasicBlock *OrigPH, BasicBlock *NewPH,
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ValueToValueMapTy &VMap, DominatorTree *DT,
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LoopInfo *LI, Pass *P) {
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BasicBlock *Latch = L->getLoopLatch();
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assert(Latch && "Loop must have a latch");
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// Create a PHI node for each outgoing value from the original loop
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// (which means it is an outgoing value from the prolog code too).
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// The new PHI node is inserted in the prolog end basic block.
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// The new PHI name is added as an operand of a PHI node in either
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// the loop header or the loop exit block.
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for (succ_iterator SBI = succ_begin(Latch), SBE = succ_end(Latch);
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SBI != SBE; ++SBI) {
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for (BasicBlock::iterator BBI = (*SBI)->begin();
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PHINode *PN = dyn_cast<PHINode>(BBI); ++BBI) {
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// Add a new PHI node to the prolog end block and add the
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// appropriate incoming values.
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PHINode *NewPN = PHINode::Create(PN->getType(), 2, PN->getName()+".unr",
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PrologEnd->getTerminator());
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// Adding a value to the new PHI node from the original loop preheader.
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// This is the value that skips all the prolog code.
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if (L->contains(PN)) {
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NewPN->addIncoming(PN->getIncomingValueForBlock(NewPH), OrigPH);
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} else {
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NewPN->addIncoming(UndefValue::get(PN->getType()), OrigPH);
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}
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Value *V = PN->getIncomingValueForBlock(Latch);
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if (Instruction *I = dyn_cast<Instruction>(V)) {
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if (L->contains(I)) {
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V = VMap[I];
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}
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}
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// Adding a value to the new PHI node from the last prolog block
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// that was created.
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NewPN->addIncoming(V, LastPrologBB);
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// Update the existing PHI node operand with the value from the
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// new PHI node. How this is done depends on if the existing
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// PHI node is in the original loop block, or the exit block.
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if (L->contains(PN)) {
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PN->setIncomingValue(PN->getBasicBlockIndex(NewPH), NewPN);
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} else {
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PN->addIncoming(NewPN, PrologEnd);
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}
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}
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}
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// Create a branch around the orignal loop, which is taken if there are no
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// iterations remaining to be executed after running the prologue.
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Instruction *InsertPt = PrologEnd->getTerminator();
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IRBuilder<> B(InsertPt);
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assert(Count != 0 && "nonsensical Count!");
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// If BECount <u (Count - 1) then (BECount + 1) & (Count - 1) == (BECount + 1)
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// (since Count is a power of 2). This means %xtraiter is (BECount + 1) and
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// and all of the iterations of this loop were executed by the prologue. Note
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// that if BECount <u (Count - 1) then (BECount + 1) cannot unsigned-overflow.
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Value *BrLoopExit =
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B.CreateICmpULT(BECount, ConstantInt::get(BECount->getType(), Count - 1));
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BasicBlock *Exit = L->getUniqueExitBlock();
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assert(Exit && "Loop must have a single exit block only");
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// Split the exit to maintain loop canonicalization guarantees
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SmallVector<BasicBlock*, 4> Preds(pred_begin(Exit), pred_end(Exit));
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SplitBlockPredecessors(Exit, Preds, ".unr-lcssa", DT, LI,
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P->mustPreserveAnalysisID(LCSSAID));
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// Add the branch to the exit block (around the unrolled loop)
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B.CreateCondBr(BrLoopExit, Exit, NewPH);
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InsertPt->eraseFromParent();
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}
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/// Create a clone of the blocks in a loop and connect them together.
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/// If UnrollProlog is true, loop structure will not be cloned, otherwise a new
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/// loop will be created including all cloned blocks, and the iterator of it
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/// switches to count NewIter down to 0.
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///
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static void CloneLoopBlocks(Loop *L, Value *NewIter, const bool UnrollProlog,
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BasicBlock *InsertTop, BasicBlock *InsertBot,
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std::vector<BasicBlock *> &NewBlocks,
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LoopBlocksDFS &LoopBlocks, ValueToValueMapTy &VMap,
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LoopInfo *LI) {
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BasicBlock *Preheader = L->getLoopPreheader();
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BasicBlock *Header = L->getHeader();
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BasicBlock *Latch = L->getLoopLatch();
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Function *F = Header->getParent();
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LoopBlocksDFS::RPOIterator BlockBegin = LoopBlocks.beginRPO();
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LoopBlocksDFS::RPOIterator BlockEnd = LoopBlocks.endRPO();
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Loop *NewLoop = nullptr;
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Loop *ParentLoop = L->getParentLoop();
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if (!UnrollProlog) {
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NewLoop = new Loop();
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if (ParentLoop)
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ParentLoop->addChildLoop(NewLoop);
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else
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LI->addTopLevelLoop(NewLoop);
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}
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// For each block in the original loop, create a new copy,
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// and update the value map with the newly created values.
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for (LoopBlocksDFS::RPOIterator BB = BlockBegin; BB != BlockEnd; ++BB) {
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BasicBlock *NewBB = CloneBasicBlock(*BB, VMap, ".prol", F);
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NewBlocks.push_back(NewBB);
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if (NewLoop)
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NewLoop->addBasicBlockToLoop(NewBB, *LI);
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else if (ParentLoop)
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ParentLoop->addBasicBlockToLoop(NewBB, *LI);
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VMap[*BB] = NewBB;
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if (Header == *BB) {
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// For the first block, add a CFG connection to this newly
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// created block.
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InsertTop->getTerminator()->setSuccessor(0, NewBB);
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}
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if (Latch == *BB) {
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// For the last block, if UnrollProlog is true, create a direct jump to
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// InsertBot. If not, create a loop back to cloned head.
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VMap.erase((*BB)->getTerminator());
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BasicBlock *FirstLoopBB = cast<BasicBlock>(VMap[Header]);
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BranchInst *LatchBR = cast<BranchInst>(NewBB->getTerminator());
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IRBuilder<> Builder(LatchBR);
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if (UnrollProlog) {
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Builder.CreateBr(InsertBot);
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} else {
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PHINode *NewIdx = PHINode::Create(NewIter->getType(), 2, "prol.iter",
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FirstLoopBB->getFirstNonPHI());
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Value *IdxSub =
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Builder.CreateSub(NewIdx, ConstantInt::get(NewIdx->getType(), 1),
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NewIdx->getName() + ".sub");
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Value *IdxCmp =
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Builder.CreateIsNotNull(IdxSub, NewIdx->getName() + ".cmp");
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Builder.CreateCondBr(IdxCmp, FirstLoopBB, InsertBot);
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NewIdx->addIncoming(NewIter, InsertTop);
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NewIdx->addIncoming(IdxSub, NewBB);
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}
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LatchBR->eraseFromParent();
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}
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}
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// Change the incoming values to the ones defined in the preheader or
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// cloned loop.
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for (BasicBlock::iterator I = Header->begin(); isa<PHINode>(I); ++I) {
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PHINode *NewPHI = cast<PHINode>(VMap[&*I]);
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if (UnrollProlog) {
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VMap[&*I] = NewPHI->getIncomingValueForBlock(Preheader);
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cast<BasicBlock>(VMap[Header])->getInstList().erase(NewPHI);
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} else {
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unsigned idx = NewPHI->getBasicBlockIndex(Preheader);
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NewPHI->setIncomingBlock(idx, InsertTop);
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BasicBlock *NewLatch = cast<BasicBlock>(VMap[Latch]);
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idx = NewPHI->getBasicBlockIndex(Latch);
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Value *InVal = NewPHI->getIncomingValue(idx);
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NewPHI->setIncomingBlock(idx, NewLatch);
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if (VMap[InVal])
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NewPHI->setIncomingValue(idx, VMap[InVal]);
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}
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}
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if (NewLoop) {
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// Add unroll disable metadata to disable future unrolling for this loop.
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SmallVector<Metadata *, 4> MDs;
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// Reserve first location for self reference to the LoopID metadata node.
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MDs.push_back(nullptr);
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MDNode *LoopID = NewLoop->getLoopID();
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if (LoopID) {
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// First remove any existing loop unrolling metadata.
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for (unsigned i = 1, ie = LoopID->getNumOperands(); i < ie; ++i) {
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bool IsUnrollMetadata = false;
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MDNode *MD = dyn_cast<MDNode>(LoopID->getOperand(i));
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if (MD) {
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const MDString *S = dyn_cast<MDString>(MD->getOperand(0));
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IsUnrollMetadata = S && S->getString().startswith("llvm.loop.unroll.");
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}
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if (!IsUnrollMetadata)
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MDs.push_back(LoopID->getOperand(i));
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}
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}
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LLVMContext &Context = NewLoop->getHeader()->getContext();
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SmallVector<Metadata *, 1> DisableOperands;
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DisableOperands.push_back(MDString::get(Context, "llvm.loop.unroll.disable"));
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MDNode *DisableNode = MDNode::get(Context, DisableOperands);
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MDs.push_back(DisableNode);
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MDNode *NewLoopID = MDNode::get(Context, MDs);
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// Set operand 0 to refer to the loop id itself.
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NewLoopID->replaceOperandWith(0, NewLoopID);
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NewLoop->setLoopID(NewLoopID);
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}
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}
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/// Insert code in the prolog code when unrolling a loop with a
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/// run-time trip-count.
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///
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/// This method assumes that the loop unroll factor is total number
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/// of loop bodes in the loop after unrolling. (Some folks refer
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/// to the unroll factor as the number of *extra* copies added).
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/// We assume also that the loop unroll factor is a power-of-two. So, after
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/// unrolling the loop, the number of loop bodies executed is 2,
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/// 4, 8, etc. Note - LLVM converts the if-then-sequence to a switch
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/// instruction in SimplifyCFG.cpp. Then, the backend decides how code for
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/// the switch instruction is generated.
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///
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/// extraiters = tripcount % loopfactor
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/// if (extraiters == 0) jump Loop:
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/// else jump Prol
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/// Prol: LoopBody;
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/// extraiters -= 1 // Omitted if unroll factor is 2.
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/// if (extraiters != 0) jump Prol: // Omitted if unroll factor is 2.
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/// if (tripcount < loopfactor) jump End
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/// Loop:
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/// ...
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/// End:
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///
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bool llvm::UnrollRuntimeLoopProlog(Loop *L, unsigned Count,
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bool AllowExpensiveTripCount, LoopInfo *LI,
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LPPassManager *LPM) {
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// for now, only unroll loops that contain a single exit
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if (!L->getExitingBlock())
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return false;
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// Make sure the loop is in canonical form, and there is a single
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// exit block only.
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if (!L->isLoopSimplifyForm() || !L->getUniqueExitBlock())
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return false;
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// Use Scalar Evolution to compute the trip count. This allows more
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// loops to be unrolled than relying on induction var simplification
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if (!LPM)
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return false;
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auto *SEWP = LPM->getAnalysisIfAvailable<ScalarEvolutionWrapperPass>();
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if (!SEWP)
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return false;
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ScalarEvolution &SE = SEWP->getSE();
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// Only unroll loops with a computable trip count and the trip count needs
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// to be an int value (allowing a pointer type is a TODO item)
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const SCEV *BECountSC = SE.getBackedgeTakenCount(L);
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if (isa<SCEVCouldNotCompute>(BECountSC) ||
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!BECountSC->getType()->isIntegerTy())
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return false;
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unsigned BEWidth = cast<IntegerType>(BECountSC->getType())->getBitWidth();
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// Add 1 since the backedge count doesn't include the first loop iteration
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const SCEV *TripCountSC =
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SE.getAddExpr(BECountSC, SE.getConstant(BECountSC->getType(), 1));
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if (isa<SCEVCouldNotCompute>(TripCountSC))
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return false;
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BasicBlock *Header = L->getHeader();
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const DataLayout &DL = Header->getModule()->getDataLayout();
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SCEVExpander Expander(SE, DL, "loop-unroll");
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if (!AllowExpensiveTripCount && Expander.isHighCostExpansion(TripCountSC, L))
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return false;
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// We only handle cases when the unroll factor is a power of 2.
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// Count is the loop unroll factor, the number of extra copies added + 1.
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if (!isPowerOf2_32(Count))
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return false;
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// This constraint lets us deal with an overflowing trip count easily; see the
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// comment on ModVal below.
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if (Log2_32(Count) > BEWidth)
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return false;
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// If this loop is nested, then the loop unroller changes the code in
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// parent loop, so the Scalar Evolution pass needs to be run again
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if (Loop *ParentLoop = L->getParentLoop())
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SE.forgetLoop(ParentLoop);
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// Grab analyses that we preserve.
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auto *DTWP = LPM->getAnalysisIfAvailable<DominatorTreeWrapperPass>();
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auto *DT = DTWP ? &DTWP->getDomTree() : nullptr;
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BasicBlock *PH = L->getLoopPreheader();
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BasicBlock *Latch = L->getLoopLatch();
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// It helps to splits the original preheader twice, one for the end of the
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// prolog code and one for a new loop preheader
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BasicBlock *PEnd = SplitEdge(PH, Header, DT, LI);
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BasicBlock *NewPH = SplitBlock(PEnd, PEnd->getTerminator(), DT, LI);
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BranchInst *PreHeaderBR = cast<BranchInst>(PH->getTerminator());
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// Compute the number of extra iterations required, which is:
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// extra iterations = run-time trip count % (loop unroll factor + 1)
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Value *TripCount = Expander.expandCodeFor(TripCountSC, TripCountSC->getType(),
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PreHeaderBR);
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Value *BECount = Expander.expandCodeFor(BECountSC, BECountSC->getType(),
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PreHeaderBR);
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IRBuilder<> B(PreHeaderBR);
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Value *ModVal = B.CreateAnd(TripCount, Count - 1, "xtraiter");
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// If ModVal is zero, we know that either
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// 1. there are no iteration to be run in the prologue loop
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// OR
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// 2. the addition computing TripCount overflowed
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//
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// If (2) is true, we know that TripCount really is (1 << BEWidth) and so the
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// number of iterations that remain to be run in the original loop is a
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// multiple Count == (1 << Log2(Count)) because Log2(Count) <= BEWidth (we
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// explicitly check this above).
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Value *BranchVal = B.CreateIsNotNull(ModVal, "lcmp.mod");
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// Branch to either the extra iterations or the cloned/unrolled loop
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// We will fix up the true branch label when adding loop body copies
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B.CreateCondBr(BranchVal, PEnd, PEnd);
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assert(PreHeaderBR->isUnconditional() &&
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PreHeaderBR->getSuccessor(0) == PEnd &&
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"CFG edges in Preheader are not correct");
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PreHeaderBR->eraseFromParent();
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Function *F = Header->getParent();
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// Get an ordered list of blocks in the loop to help with the ordering of the
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// cloned blocks in the prolog code
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LoopBlocksDFS LoopBlocks(L);
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LoopBlocks.perform(LI);
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//
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// For each extra loop iteration, create a copy of the loop's basic blocks
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// and generate a condition that branches to the copy depending on the
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// number of 'left over' iterations.
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//
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std::vector<BasicBlock *> NewBlocks;
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ValueToValueMapTy VMap;
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bool UnrollPrologue = Count == 2;
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// Clone all the basic blocks in the loop. If Count is 2, we don't clone
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// the loop, otherwise we create a cloned loop to execute the extra
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// iterations. This function adds the appropriate CFG connections.
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CloneLoopBlocks(L, ModVal, UnrollPrologue, PH, PEnd, NewBlocks, LoopBlocks,
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VMap, LI);
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// Insert the cloned blocks into function just before the original loop
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F->getBasicBlockList().splice(PEnd->getIterator(), F->getBasicBlockList(),
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NewBlocks[0]->getIterator(), F->end());
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// Rewrite the cloned instruction operands to use the values
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// created when the clone is created.
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for (unsigned i = 0, e = NewBlocks.size(); i != e; ++i) {
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for (BasicBlock::iterator I = NewBlocks[i]->begin(),
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E = NewBlocks[i]->end();
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I != E; ++I) {
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RemapInstruction(&*I, VMap,
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RF_NoModuleLevelChanges | RF_IgnoreMissingEntries);
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}
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}
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// Connect the prolog code to the original loop and update the
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// PHI functions.
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BasicBlock *LastLoopBB = cast<BasicBlock>(VMap[Latch]);
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ConnectProlog(L, BECount, Count, LastLoopBB, PEnd, PH, NewPH, VMap, DT, LI,
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LPM->getAsPass());
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NumRuntimeUnrolled++;
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return true;
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}
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