| //===--- DAGDeltaAlgorithm.cpp - A DAG Minimization Algorithm --*- C++ -*--===// | |
| // | |
| // The LLVM Compiler Infrastructure | |
| // | |
| // This file is distributed under the University of Illinois Open Source | |
| // License. See LICENSE.TXT for details. | |
| //===----------------------------------------------------------------------===// | |
| // | |
| // The algorithm we use attempts to exploit the dependency information by | |
| // minimizing top-down. We start by constructing an initial root set R, and | |
| // then iteratively: | |
| // | |
| // 1. Minimize the set R using the test predicate: | |
| // P'(S) = P(S union pred*(S)) | |
| // | |
| // 2. Extend R to R' = R union pred(R). | |
| // | |
| // until a fixed point is reached. | |
| // | |
| // The idea is that we want to quickly prune entire portions of the graph, so we | |
| // try to find high-level nodes that can be eliminated with all of their | |
| // dependents. | |
| // | |
| // FIXME: The current algorithm doesn't actually provide a strong guarantee | |
| // about the minimality of the result. The problem is that after adding nodes to | |
| // the required set, we no longer consider them for elimination. For strictly | |
| // well formed predicates, this doesn't happen, but it commonly occurs in | |
| // practice when there are unmodelled dependencies. I believe we can resolve | |
| // this by allowing the required set to be minimized as well, but need more test | |
| // cases first. | |
| // | |
| //===----------------------------------------------------------------------===// | |
| #include "llvm/ADT/DAGDeltaAlgorithm.h" | |
| #include "llvm/ADT/DeltaAlgorithm.h" | |
| #include "llvm/Support/Debug.h" | |
| #include "llvm/Support/Format.h" | |
| #include "llvm/Support/raw_ostream.h" | |
| #include <algorithm> | |
| #include <cassert> | |
| #include <iterator> | |
| #include <map> | |
| using namespace llvm; | |
| namespace { | |
| class DAGDeltaAlgorithmImpl { | |
| friend class DeltaActiveSetHelper; | |
| public: | |
| typedef DAGDeltaAlgorithm::change_ty change_ty; | |
| typedef DAGDeltaAlgorithm::changeset_ty changeset_ty; | |
| typedef DAGDeltaAlgorithm::changesetlist_ty changesetlist_ty; | |
| typedef DAGDeltaAlgorithm::edge_ty edge_ty; | |
| private: | |
| typedef std::vector<change_ty>::iterator pred_iterator_ty; | |
| typedef std::vector<change_ty>::iterator succ_iterator_ty; | |
| typedef std::set<change_ty>::iterator pred_closure_iterator_ty; | |
| typedef std::set<change_ty>::iterator succ_closure_iterator_ty; | |
| DAGDeltaAlgorithm &DDA; | |
| const changeset_ty &Changes; | |
| const std::vector<edge_ty> &Dependencies; | |
| std::vector<change_ty> Roots; | |
| /// Cache of failed test results. Successful test results are never cached | |
| /// since we always reduce following a success. We maintain an independent | |
| /// cache from that used by the individual delta passes because we may get | |
| /// hits across multiple individual delta invocations. | |
| mutable std::set<changeset_ty> FailedTestsCache; | |
| // FIXME: Gross. | |
| std::map<change_ty, std::vector<change_ty> > Predecessors; | |
| std::map<change_ty, std::vector<change_ty> > Successors; | |
| std::map<change_ty, std::set<change_ty> > PredClosure; | |
| std::map<change_ty, std::set<change_ty> > SuccClosure; | |
| private: | |
| pred_iterator_ty pred_begin(change_ty Node) { | |
| assert(Predecessors.count(Node) && "Invalid node!"); | |
| return Predecessors[Node].begin(); | |
| } | |
| pred_iterator_ty pred_end(change_ty Node) { | |
| assert(Predecessors.count(Node) && "Invalid node!"); | |
| return Predecessors[Node].end(); | |
| } | |
| pred_closure_iterator_ty pred_closure_begin(change_ty Node) { | |
| assert(PredClosure.count(Node) && "Invalid node!"); | |
| return PredClosure[Node].begin(); | |
| } | |
| pred_closure_iterator_ty pred_closure_end(change_ty Node) { | |
| assert(PredClosure.count(Node) && "Invalid node!"); | |
| return PredClosure[Node].end(); | |
| } | |
| succ_iterator_ty succ_begin(change_ty Node) { | |
| assert(Successors.count(Node) && "Invalid node!"); | |
| return Successors[Node].begin(); | |
| } | |
| succ_iterator_ty succ_end(change_ty Node) { | |
| assert(Successors.count(Node) && "Invalid node!"); | |
| return Successors[Node].end(); | |
| } | |
| succ_closure_iterator_ty succ_closure_begin(change_ty Node) { | |
| assert(SuccClosure.count(Node) && "Invalid node!"); | |
| return SuccClosure[Node].begin(); | |
| } | |
| succ_closure_iterator_ty succ_closure_end(change_ty Node) { | |
| assert(SuccClosure.count(Node) && "Invalid node!"); | |
| return SuccClosure[Node].end(); | |
| } | |
| void UpdatedSearchState(const changeset_ty &Changes, | |
| const changesetlist_ty &Sets, | |
| const changeset_ty &Required) { | |
| DDA.UpdatedSearchState(Changes, Sets, Required); | |
| } | |
| /// ExecuteOneTest - Execute a single test predicate on the change set \arg S. | |
| bool ExecuteOneTest(const changeset_ty &S) { | |
| // Check dependencies invariant. | |
| DEBUG({ | |
| for (changeset_ty::const_iterator it = S.begin(), | |
| ie = S.end(); it != ie; ++it) | |
| for (succ_iterator_ty it2 = succ_begin(*it), | |
| ie2 = succ_end(*it); it2 != ie2; ++it2) | |
| assert(S.count(*it2) && "Attempt to run invalid changeset!"); | |
| }); | |
| return DDA.ExecuteOneTest(S); | |
| } | |
| public: | |
| DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &_DDA, | |
| const changeset_ty &_Changes, | |
| const std::vector<edge_ty> &_Dependencies); | |
| changeset_ty Run(); | |
| /// GetTestResult - Get the test result for the active set \arg Changes with | |
| /// \arg Required changes from the cache, executing the test if necessary. | |
| /// | |
| /// \param Changes - The set of active changes being minimized, which should | |
| /// have their pred closure included in the test. | |
| /// \param Required - The set of changes which have previously been | |
| /// established to be required. | |
| /// \return - The test result. | |
| bool GetTestResult(const changeset_ty &Changes, const changeset_ty &Required); | |
| }; | |
| /// Helper object for minimizing an active set of changes. | |
| class DeltaActiveSetHelper : public DeltaAlgorithm { | |
| DAGDeltaAlgorithmImpl &DDAI; | |
| const changeset_ty &Required; | |
| protected: | |
| /// UpdatedSearchState - Callback used when the search state changes. | |
| virtual void UpdatedSearchState(const changeset_ty &Changes, | |
| const changesetlist_ty &Sets) { | |
| DDAI.UpdatedSearchState(Changes, Sets, Required); | |
| } | |
| virtual bool ExecuteOneTest(const changeset_ty &S) { | |
| return DDAI.GetTestResult(S, Required); | |
| } | |
| public: | |
| DeltaActiveSetHelper(DAGDeltaAlgorithmImpl &_DDAI, | |
| const changeset_ty &_Required) | |
| : DDAI(_DDAI), Required(_Required) {} | |
| }; | |
| } | |
| DAGDeltaAlgorithmImpl::DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &_DDA, | |
| const changeset_ty &_Changes, | |
| const std::vector<edge_ty> | |
| &_Dependencies) | |
| : DDA(_DDA), | |
| Changes(_Changes), | |
| Dependencies(_Dependencies) | |
| { | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) { | |
| Predecessors.insert(std::make_pair(*it, std::vector<change_ty>())); | |
| Successors.insert(std::make_pair(*it, std::vector<change_ty>())); | |
| } | |
| for (std::vector<edge_ty>::const_iterator it = Dependencies.begin(), | |
| ie = Dependencies.end(); it != ie; ++it) { | |
| Predecessors[it->second].push_back(it->first); | |
| Successors[it->first].push_back(it->second); | |
| } | |
| // Compute the roots. | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) | |
| if (succ_begin(*it) == succ_end(*it)) | |
| Roots.push_back(*it); | |
| // Pre-compute the closure of the successor relation. | |
| std::vector<change_ty> Worklist(Roots.begin(), Roots.end()); | |
| while (!Worklist.empty()) { | |
| change_ty Change = Worklist.back(); | |
| Worklist.pop_back(); | |
| std::set<change_ty> &ChangeSuccs = SuccClosure[Change]; | |
| for (pred_iterator_ty it = pred_begin(Change), | |
| ie = pred_end(Change); it != ie; ++it) { | |
| SuccClosure[*it].insert(Change); | |
| SuccClosure[*it].insert(ChangeSuccs.begin(), ChangeSuccs.end()); | |
| Worklist.push_back(*it); | |
| } | |
| } | |
| // Invert to form the predecessor closure map. | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) | |
| PredClosure.insert(std::make_pair(*it, std::set<change_ty>())); | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) | |
| for (succ_closure_iterator_ty it2 = succ_closure_begin(*it), | |
| ie2 = succ_closure_end(*it); it2 != ie2; ++it2) | |
| PredClosure[*it2].insert(*it); | |
| // Dump useful debug info. | |
| DEBUG({ | |
| llvm::errs() << "-- DAGDeltaAlgorithmImpl --\n"; | |
| llvm::errs() << "Changes: ["; | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) { | |
| if (it != Changes.begin()) llvm::errs() << ", "; | |
| llvm::errs() << *it; | |
| if (succ_begin(*it) != succ_end(*it)) { | |
| llvm::errs() << "("; | |
| for (succ_iterator_ty it2 = succ_begin(*it), | |
| ie2 = succ_end(*it); it2 != ie2; ++it2) { | |
| if (it2 != succ_begin(*it)) llvm::errs() << ", "; | |
| llvm::errs() << "->" << *it2; | |
| } | |
| llvm::errs() << ")"; | |
| } | |
| } | |
| llvm::errs() << "]\n"; | |
| llvm::errs() << "Roots: ["; | |
| for (std::vector<change_ty>::const_iterator it = Roots.begin(), | |
| ie = Roots.end(); it != ie; ++it) { | |
| if (it != Roots.begin()) llvm::errs() << ", "; | |
| llvm::errs() << *it; | |
| } | |
| llvm::errs() << "]\n"; | |
| llvm::errs() << "Predecessor Closure:\n"; | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) { | |
| llvm::errs() << format(" %-4d: [", *it); | |
| for (pred_closure_iterator_ty it2 = pred_closure_begin(*it), | |
| ie2 = pred_closure_end(*it); it2 != ie2; ++it2) { | |
| if (it2 != pred_closure_begin(*it)) llvm::errs() << ", "; | |
| llvm::errs() << *it2; | |
| } | |
| llvm::errs() << "]\n"; | |
| } | |
| llvm::errs() << "Successor Closure:\n"; | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) { | |
| llvm::errs() << format(" %-4d: [", *it); | |
| for (succ_closure_iterator_ty it2 = succ_closure_begin(*it), | |
| ie2 = succ_closure_end(*it); it2 != ie2; ++it2) { | |
| if (it2 != succ_closure_begin(*it)) llvm::errs() << ", "; | |
| llvm::errs() << *it2; | |
| } | |
| llvm::errs() << "]\n"; | |
| } | |
| llvm::errs() << "\n\n"; | |
| }); | |
| } | |
| bool DAGDeltaAlgorithmImpl::GetTestResult(const changeset_ty &Changes, | |
| const changeset_ty &Required) { | |
| changeset_ty Extended(Required); | |
| Extended.insert(Changes.begin(), Changes.end()); | |
| for (changeset_ty::const_iterator it = Changes.begin(), | |
| ie = Changes.end(); it != ie; ++it) | |
| Extended.insert(pred_closure_begin(*it), pred_closure_end(*it)); | |
| if (FailedTestsCache.count(Extended)) | |
| return false; | |
| bool Result = ExecuteOneTest(Extended); | |
| if (!Result) | |
| FailedTestsCache.insert(Extended); | |
| return Result; | |
| } | |
| DAGDeltaAlgorithm::changeset_ty | |
| DAGDeltaAlgorithmImpl::Run() { | |
| // The current set of changes we are minimizing, starting at the roots. | |
| changeset_ty CurrentSet(Roots.begin(), Roots.end()); | |
| // The set of required changes. | |
| changeset_ty Required; | |
| // Iterate until the active set of changes is empty. Convergence is guaranteed | |
| // assuming input was a DAG. | |
| // | |
| // Invariant: CurrentSet intersect Required == {} | |
| // Invariant: Required == (Required union succ*(Required)) | |
| while (!CurrentSet.empty()) { | |
| DEBUG({ | |
| llvm::errs() << "DAG_DD - " << CurrentSet.size() << " active changes, " | |
| << Required.size() << " required changes\n"; | |
| }); | |
| // Minimize the current set of changes. | |
| DeltaActiveSetHelper Helper(*this, Required); | |
| changeset_ty CurrentMinSet = Helper.Run(CurrentSet); | |
| // Update the set of required changes. Since | |
| // CurrentMinSet subset CurrentSet | |
| // and after the last iteration, | |
| // succ(CurrentSet) subset Required | |
| // then | |
| // succ(CurrentMinSet) subset Required | |
| // and our invariant on Required is maintained. | |
| Required.insert(CurrentMinSet.begin(), CurrentMinSet.end()); | |
| // Replace the current set with the predecssors of the minimized set of | |
| // active changes. | |
| CurrentSet.clear(); | |
| for (changeset_ty::const_iterator it = CurrentMinSet.begin(), | |
| ie = CurrentMinSet.end(); it != ie; ++it) | |
| CurrentSet.insert(pred_begin(*it), pred_end(*it)); | |
| // FIXME: We could enforce CurrentSet intersect Required == {} here if we | |
| // wanted to protect against cyclic graphs. | |
| } | |
| return Required; | |
| } | |
| DAGDeltaAlgorithm::changeset_ty | |
| DAGDeltaAlgorithm::Run(const changeset_ty &Changes, | |
| const std::vector<edge_ty> &Dependencies) { | |
| return DAGDeltaAlgorithmImpl(*this, Changes, Dependencies).Run(); | |
| } |