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MIsched: Improve the interface to SchedDFS analysis (subtrees).
Allow the strategy to select SchedDFS. Allow the results of SchedDFS to affect initialization of the scheduler state. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@173425 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -316,12 +316,9 @@ public:
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const SUnit *getNextClusterSucc() const { return NextClusterSucc; }
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/// Initialize a DFSResult after DAG building is complete, and before any
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/// Compute a DFSResult after DAG building is complete, and before any
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/// queue comparisons.
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void initDFSResult();
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/// Compute DFS result once all interesting roots are discovered.
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void computeDFSResult(ArrayRef<SUnit*> Roots);
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void computeDFSResult();
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/// Return a non-null DFS result if the scheduling strategy initialized it.
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const SchedDFSResult *getDFSResult() const { return DFSResult; }
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@ -341,8 +338,8 @@ protected:
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/// instances of ScheduleDAGMI to perform custom DAG postprocessing.
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void postprocessDAG();
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/// Identify DAG roots and setup scheduler queues.
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void initQueues();
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/// Release ExitSU predecessors and setup scheduler queues.
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void initQueues(ArrayRef<SUnit*> TopRoots, ArrayRef<SUnit*> BotRoots);
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/// Move an instruction and update register pressure.
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void scheduleMI(SUnit *SU, bool IsTopNode);
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@ -365,7 +362,8 @@ protected:
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void moveInstruction(MachineInstr *MI, MachineBasicBlock::iterator InsertPos);
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bool checkSchedLimit();
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void releaseRoots();
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void findRootsAndBiasEdges(SmallVectorImpl<SUnit*> &TopRoots,
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SmallVectorImpl<SUnit*> &BotRoots);
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void releaseSucc(SUnit *SU, SDep *SuccEdge);
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void releaseSuccessors(SUnit *SU);
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@ -127,7 +127,7 @@ public:
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}
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/// \brief Compute various metrics for the DAG with given roots.
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void compute(ArrayRef<SUnit *> Roots);
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void compute(ArrayRef<SUnit> SUnits);
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/// \brief Get the ILP value for a DAG node.
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///
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@ -140,7 +140,12 @@ public:
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unsigned getNumSubtrees() const { return SubtreeConnectLevels.size(); }
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/// \brief Get the ID of the subtree the given DAG node belongs to.
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///
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/// For convenience, if DFSResults have not been computed yet, give everything
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/// tree ID 0.
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unsigned getSubtreeID(const SUnit *SU) const {
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if (empty())
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return 0;
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assert(SU->NodeNum < DFSData.size() && "New Node");
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return DFSData[SU->NodeNum].SubtreeID;
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}
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@ -510,10 +510,19 @@ void ScheduleDAGMI::schedule() {
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postprocessDAG();
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SmallVector<SUnit*, 8> TopRoots, BotRoots;
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findRootsAndBiasEdges(TopRoots, BotRoots);
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// Initialize the strategy before modifying the DAG.
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// This may initialize a DFSResult to be used for queue priority.
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SchedImpl->initialize(this);
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DEBUG(for (unsigned su = 0, e = SUnits.size(); su != e; ++su)
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SUnits[su].dumpAll(this));
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if (ViewMISchedDAGs) viewGraph();
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initQueues();
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// Initialize ready queues now that the DAG and priority data are finalized.
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initQueues(TopRoots, BotRoots);
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bool IsTopNode = false;
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while (SUnit *SU = SchedImpl->pickNode(IsTopNode)) {
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@ -561,25 +570,18 @@ void ScheduleDAGMI::postprocessDAG() {
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}
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}
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void ScheduleDAGMI::initDFSResult() {
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void ScheduleDAGMI::computeDFSResult() {
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if (!DFSResult)
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DFSResult = new SchedDFSResult(/*BottomU*/true, MinSubtreeSize);
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DFSResult->clear();
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DFSResult->resize(SUnits.size());
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ScheduledTrees.clear();
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}
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void ScheduleDAGMI::computeDFSResult(ArrayRef<SUnit*> Roots) {
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DFSResult->compute(Roots);
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DFSResult->resize(SUnits.size());
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DFSResult->compute(SUnits);
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ScheduledTrees.resize(DFSResult->getNumSubtrees());
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}
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// Release all DAG roots for scheduling.
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//
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// Nodes with unreleased weak edges can still be roots.
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void ScheduleDAGMI::releaseRoots() {
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SmallVector<SUnit*, 16> BotRoots;
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void ScheduleDAGMI::findRootsAndBiasEdges(SmallVectorImpl<SUnit*> &TopRoots,
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SmallVectorImpl<SUnit*> &BotRoots) {
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for (std::vector<SUnit>::iterator
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I = SUnits.begin(), E = SUnits.end(); I != E; ++I) {
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SUnit *SU = &(*I);
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@ -589,28 +591,33 @@ void ScheduleDAGMI::releaseRoots() {
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// A SUnit is ready to top schedule if it has no predecessors.
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if (!I->NumPredsLeft && SU != &EntrySU)
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SchedImpl->releaseTopNode(SU);
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TopRoots.push_back(SU);
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// A SUnit is ready to bottom schedule if it has no successors.
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if (!I->NumSuccsLeft && SU != &ExitSU)
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BotRoots.push_back(SU);
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}
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// Release bottom roots in reverse order so the higher priority nodes appear
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// first. This is more natural and slightly more efficient.
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for (SmallVectorImpl<SUnit*>::const_reverse_iterator
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I = BotRoots.rbegin(), E = BotRoots.rend(); I != E; ++I)
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SchedImpl->releaseBottomNode(*I);
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}
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/// Identify DAG roots and setup scheduler queues.
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void ScheduleDAGMI::initQueues() {
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void ScheduleDAGMI::initQueues(ArrayRef<SUnit*> TopRoots,
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ArrayRef<SUnit*> BotRoots) {
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NextClusterSucc = NULL;
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NextClusterPred = NULL;
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// Initialize the strategy before modifying the DAG.
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SchedImpl->initialize(this);
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// Release all DAG roots for scheduling, not including EntrySU/ExitSU.
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releaseRoots();
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//
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// Nodes with unreleased weak edges can still be roots.
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// Release top roots in forward order.
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for (SmallVectorImpl<SUnit*>::const_iterator
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I = TopRoots.begin(), E = TopRoots.end(); I != E; ++I) {
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SchedImpl->releaseTopNode(*I);
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}
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// Release bottom roots in reverse order so the higher priority nodes appear
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// first. This is more natural and slightly more efficient.
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for (SmallVectorImpl<SUnit*>::const_reverse_iterator
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I = BotRoots.rbegin(), E = BotRoots.rend(); I != E; ++I) {
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SchedImpl->releaseBottomNode(*I);
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}
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releaseSuccessors(&EntrySU);
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releasePredecessors(&ExitSU);
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@ -1216,7 +1223,7 @@ void ConvergingScheduler::initialize(ScheduleDAGMI *dag) {
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Top.init(DAG, SchedModel, &Rem);
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Bot.init(DAG, SchedModel, &Rem);
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DAG->initDFSResult();
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DAG->computeDFSResult();
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// Initialize resource counts.
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@ -1278,8 +1285,6 @@ void ConvergingScheduler::registerRoots() {
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Rem.CriticalPath = (*I)->getDepth();
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}
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DEBUG(dbgs() << "Critical Path: " << Rem.CriticalPath << '\n');
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DAG->computeDFSResult(Bot.Available.elements());
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}
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/// Does this SU have a hazard within the current instruction group.
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@ -2140,14 +2145,13 @@ public:
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virtual void initialize(ScheduleDAGMI *dag) {
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DAG = dag;
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DAG->initDFSResult();
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DAG->computeDFSResult();
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Cmp.DFSResult = DAG->getDFSResult();
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Cmp.ScheduledTrees = &DAG->getScheduledTrees();
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ReadyQ.clear();
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}
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virtual void registerRoots() {
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DAG->computeDFSResult(ReadyQ);
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// Restore the heap in ReadyQ with the updated DFS results.
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std::make_heap(ReadyQ.begin(), ReadyQ.end(), Cmp);
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}
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@ -1188,16 +1188,20 @@ static bool hasDataSucc(const SUnit *SU) {
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/// Compute an ILP metric for all nodes in the subDAG reachable via depth-first
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/// search from this root.
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void SchedDFSResult::compute(ArrayRef<SUnit *> Roots) {
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void SchedDFSResult::compute(ArrayRef<SUnit> SUnits) {
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if (!IsBottomUp)
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llvm_unreachable("Top-down ILP metric is unimplemnted");
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SchedDFSImpl Impl(*this);
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for (ArrayRef<const SUnit*>::const_iterator
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RootI = Roots.begin(), RootE = Roots.end(); RootI != RootE; ++RootI) {
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for (ArrayRef<SUnit>::const_iterator
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SI = SUnits.begin(), SE = SUnits.end(); SI != SE; ++SI) {
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const SUnit *SU = &*SI;
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if (Impl.isVisited(SU) || hasDataSucc(SU))
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continue;
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SchedDAGReverseDFS DFS;
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Impl.visitPreorder(*RootI);
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DFS.follow(*RootI);
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Impl.visitPreorder(SU);
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DFS.follow(SU);
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for (;;) {
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// Traverse the leftmost path as far as possible.
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while (DFS.getPred() != DFS.getPredEnd()) {
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@ -152,6 +152,12 @@ void VLIWMachineScheduler::schedule() {
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// Postprocess the DAG to add platform specific artificial dependencies.
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postprocessDAG();
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SmallVector<SUnit*, 8> TopRoots, BotRoots;
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findRootsAndBiasEdges(TopRoots, BotRoots);
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// Initialize the strategy before modifying the DAG.
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SchedImpl->initialize(this);
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// To view Height/Depth correctly, they should be accessed at least once.
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DEBUG(unsigned maxH = 0;
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for (unsigned su = 0, e = SUnits.size(); su != e; ++su)
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@ -166,7 +172,7 @@ void VLIWMachineScheduler::schedule() {
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DEBUG(for (unsigned su = 0, e = SUnits.size(); su != e; ++su)
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SUnits[su].dumpAll(this));
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initQueues();
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initQueues(TopRoots, BotRoots);
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bool IsTopNode = false;
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while (SUnit *SU = SchedImpl->pickNode(IsTopNode)) {
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@ -8,9 +8,6 @@
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; RUN: -misched=ilpmax -verify-machineinstrs \
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; RUN: | FileCheck %s -check-prefix=ILPMAX
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;
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; Very temporary xfail during SchedDFSResult churn.
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; XFAIL: *
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;
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; Verify that the MI scheduler minimizes register pressure for a
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; uniform set of bottom-up subtrees (unrolled matrix multiply).
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;
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