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Remove trailing whitespace, no functionality changes.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@107244 91177308-0d34-0410-b5e6-96231b3b80d8
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@ -380,26 +380,26 @@ void ScheduleDAG::VerifySchedule(bool isBottomUp) {
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}
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#endif
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/// InitDAGTopologicalSorting - create the initial topological
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/// InitDAGTopologicalSorting - create the initial topological
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/// ordering from the DAG to be scheduled.
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///
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/// The idea of the algorithm is taken from
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/// The idea of the algorithm is taken from
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/// "Online algorithms for managing the topological order of
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/// a directed acyclic graph" by David J. Pearce and Paul H.J. Kelly
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/// This is the MNR algorithm, which was first introduced by
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/// A. Marchetti-Spaccamela, U. Nanni and H. Rohnert in
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/// This is the MNR algorithm, which was first introduced by
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/// A. Marchetti-Spaccamela, U. Nanni and H. Rohnert in
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/// "Maintaining a topological order under edge insertions".
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///
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/// Short description of the algorithm:
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/// Short description of the algorithm:
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///
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/// Topological ordering, ord, of a DAG maps each node to a topological
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/// index so that for all edges X->Y it is the case that ord(X) < ord(Y).
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///
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/// This means that if there is a path from the node X to the node Z,
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/// This means that if there is a path from the node X to the node Z,
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/// then ord(X) < ord(Z).
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///
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/// This property can be used to check for reachability of nodes:
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/// if Z is reachable from X, then an insertion of the edge Z->X would
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/// if Z is reachable from X, then an insertion of the edge Z->X would
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/// create a cycle.
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///
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/// The algorithm first computes a topological ordering for the DAG by
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@ -431,7 +431,7 @@ void ScheduleDAGTopologicalSort::InitDAGTopologicalSorting() {
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// Collect leaf nodes.
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WorkList.push_back(SU);
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}
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}
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}
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int Id = DAGSize;
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while (!WorkList.empty()) {
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@ -456,7 +456,7 @@ void ScheduleDAGTopologicalSort::InitDAGTopologicalSorting() {
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SUnit *SU = &SUnits[i];
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for (SUnit::const_pred_iterator I = SU->Preds.begin(), E = SU->Preds.end();
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I != E; ++I) {
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assert(Node2Index[SU->NodeNum] > Node2Index[I->getSUnit()->NodeNum] &&
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assert(Node2Index[SU->NodeNum] > Node2Index[I->getSUnit()->NodeNum] &&
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"Wrong topological sorting");
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}
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}
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@ -494,7 +494,7 @@ void ScheduleDAGTopologicalSort::RemovePred(SUnit *M, SUnit *N) {
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void ScheduleDAGTopologicalSort::DFS(const SUnit *SU, int UpperBound,
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bool& HasLoop) {
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std::vector<const SUnit*> WorkList;
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WorkList.reserve(SUnits.size());
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WorkList.reserve(SUnits.size());
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WorkList.push_back(SU);
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do {
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@ -504,20 +504,20 @@ void ScheduleDAGTopologicalSort::DFS(const SUnit *SU, int UpperBound,
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for (int I = SU->Succs.size()-1; I >= 0; --I) {
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int s = SU->Succs[I].getSUnit()->NodeNum;
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if (Node2Index[s] == UpperBound) {
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HasLoop = true;
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HasLoop = true;
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return;
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}
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// Visit successors if not already and in affected region.
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if (!Visited.test(s) && Node2Index[s] < UpperBound) {
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WorkList.push_back(SU->Succs[I].getSUnit());
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}
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}
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}
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}
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} while (!WorkList.empty());
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}
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/// Shift - Renumber the nodes so that the topological ordering is
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/// Shift - Renumber the nodes so that the topological ordering is
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/// preserved.
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void ScheduleDAGTopologicalSort::Shift(BitVector& Visited, int LowerBound,
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void ScheduleDAGTopologicalSort::Shift(BitVector& Visited, int LowerBound,
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int UpperBound) {
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std::vector<int> L;
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int shift = 0;
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@ -568,7 +568,7 @@ bool ScheduleDAGTopologicalSort::IsReachable(const SUnit *SU,
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// Is Ord(TargetSU) < Ord(SU) ?
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if (LowerBound < UpperBound) {
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Visited.reset();
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// There may be a path from TargetSU to SU. Check for it.
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// There may be a path from TargetSU to SU. Check for it.
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DFS(TargetSU, UpperBound, HasLoop);
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}
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return HasLoop;
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@ -580,8 +580,7 @@ void ScheduleDAGTopologicalSort::Allocate(int n, int index) {
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Index2Node[index] = n;
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}
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ScheduleDAGTopologicalSort::ScheduleDAGTopologicalSort(
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std::vector<SUnit> &sunits)
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: SUnits(sunits) {}
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ScheduleDAGTopologicalSort::
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ScheduleDAGTopologicalSort(std::vector<SUnit> &sunits) : SUnits(sunits) {}
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ScheduleHazardRecognizer::~ScheduleHazardRecognizer() {}
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