//===- IslAst.cpp - isl code generator interface --------------------------===// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // The isl code generator interface takes a Scop and generates an isl_ast. This // ist_ast can either be returned directly or it can be pretty printed to // stdout. // // A typical isl_ast output looks like this: // // for (c2 = max(0, ceild(n + m, 2); c2 <= min(511, floord(5 * n, 3)); c2++) { // bb2(c2); // } // // An in-depth discussion of our AST generation approach can be found in: // // Polyhedral AST generation is more than scanning polyhedra // Tobias Grosser, Sven Verdoolaege, Albert Cohen // ACM Transactions on Programming Languages and Systems (TOPLAS), // 37(4), July 2015 // http://www.grosser.es/#pub-polyhedral-AST-generation // //===----------------------------------------------------------------------===// #include "polly/CodeGen/IslAst.h" #include "polly/CodeGen/CodeGeneration.h" #include "polly/DependenceInfo.h" #include "polly/LinkAllPasses.h" #include "polly/Options.h" #include "polly/ScopDetection.h" #include "polly/ScopInfo.h" #include "polly/ScopPass.h" #include "polly/Support/GICHelper.h" #include "llvm/ADT/Statistic.h" #include "llvm/IR/Function.h" #include "llvm/Pass.h" #include "llvm/Support/CommandLine.h" #include "llvm/Support/Debug.h" #include "llvm/Support/raw_ostream.h" #include "isl/aff.h" #include "isl/ast.h" #include "isl/ast_build.h" #include "isl/id.h" #include "isl/isl-noexceptions.h" #include "isl/map.h" #include "isl/printer.h" #include "isl/schedule.h" #include "isl/set.h" #include "isl/union_map.h" #include "isl/val.h" #include #include #include #include #include #include #define DEBUG_TYPE "polly-ast" using namespace llvm; using namespace polly; using IslAstUserPayload = IslAstInfo::IslAstUserPayload; static cl::opt PollyParallel("polly-parallel", cl::desc("Generate thread parallel code (isl codegen only)"), cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory)); static cl::opt PrintAccesses("polly-ast-print-accesses", cl::desc("Print memory access functions"), cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory)); static cl::opt PollyParallelForce( "polly-parallel-force", cl::desc( "Force generation of thread parallel code ignoring any cost model"), cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory)); static cl::opt UseContext("polly-ast-use-context", cl::desc("Use context"), cl::Hidden, cl::init(true), cl::ZeroOrMore, cl::cat(PollyCategory)); static cl::opt DetectParallel("polly-ast-detect-parallel", cl::desc("Detect parallelism"), cl::Hidden, cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory)); STATISTIC(ScopsProcessed, "Number of SCoPs processed"); STATISTIC(ScopsBeneficial, "Number of beneficial SCoPs"); STATISTIC(BeneficialAffineLoops, "Number of beneficial affine loops"); STATISTIC(BeneficialBoxedLoops, "Number of beneficial boxed loops"); STATISTIC(NumForLoops, "Number of for-loops"); STATISTIC(NumParallel, "Number of parallel for-loops"); STATISTIC(NumInnermostParallel, "Number of innermost parallel for-loops"); STATISTIC(NumOutermostParallel, "Number of outermost parallel for-loops"); STATISTIC(NumReductionParallel, "Number of reduction-parallel for-loops"); STATISTIC(NumExecutedInParallel, "Number of for-loops executed in parallel"); STATISTIC(NumIfConditions, "Number of if-conditions"); namespace polly { /// Temporary information used when building the ast. struct AstBuildUserInfo { /// Construct and initialize the helper struct for AST creation. AstBuildUserInfo() = default; /// The dependence information used for the parallelism check. const Dependences *Deps = nullptr; /// Flag to indicate that we are inside a parallel for node. bool InParallelFor = false; /// The last iterator id created for the current SCoP. isl_id *LastForNodeId = nullptr; }; } // namespace polly /// Free an IslAstUserPayload object pointed to by @p Ptr. static void freeIslAstUserPayload(void *Ptr) { delete ((IslAstInfo::IslAstUserPayload *)Ptr); } IslAstInfo::IslAstUserPayload::~IslAstUserPayload() { isl_ast_build_free(Build); isl_pw_aff_free(MinimalDependenceDistance); } /// Print a string @p str in a single line using @p Printer. static isl_printer *printLine(__isl_take isl_printer *Printer, const std::string &str, __isl_keep isl_pw_aff *PWA = nullptr) { Printer = isl_printer_start_line(Printer); Printer = isl_printer_print_str(Printer, str.c_str()); if (PWA) Printer = isl_printer_print_pw_aff(Printer, PWA); return isl_printer_end_line(Printer); } /// Return all broken reductions as a string of clauses (OpenMP style). static const std::string getBrokenReductionsStr(__isl_keep isl_ast_node *Node) { IslAstInfo::MemoryAccessSet *BrokenReductions; std::string str; BrokenReductions = IslAstInfo::getBrokenReductions(Node); if (!BrokenReductions || BrokenReductions->empty()) return ""; // Map each type of reduction to a comma separated list of the base addresses. std::map Clauses; for (MemoryAccess *MA : *BrokenReductions) if (MA->isWrite()) Clauses[MA->getReductionType()] += ", " + MA->getScopArrayInfo()->getName(); // Now print the reductions sorted by type. Each type will cause a clause // like: reduction (+ : sum0, sum1, sum2) for (const auto &ReductionClause : Clauses) { str += " reduction ("; str += MemoryAccess::getReductionOperatorStr(ReductionClause.first); // Remove the first two symbols (", ") to make the output look pretty. str += " : " + ReductionClause.second.substr(2) + ")"; } return str; } /// Callback executed for each for node in the ast in order to print it. static isl_printer *cbPrintFor(__isl_take isl_printer *Printer, __isl_take isl_ast_print_options *Options, __isl_keep isl_ast_node *Node, void *) { isl_pw_aff *DD = IslAstInfo::getMinimalDependenceDistance(Node); const std::string BrokenReductionsStr = getBrokenReductionsStr(Node); const std::string KnownParallelStr = "#pragma known-parallel"; const std::string DepDisPragmaStr = "#pragma minimal dependence distance: "; const std::string SimdPragmaStr = "#pragma simd"; const std::string OmpPragmaStr = "#pragma omp parallel for"; if (DD) Printer = printLine(Printer, DepDisPragmaStr, DD); if (IslAstInfo::isInnermostParallel(Node)) Printer = printLine(Printer, SimdPragmaStr + BrokenReductionsStr); if (IslAstInfo::isExecutedInParallel(Node)) Printer = printLine(Printer, OmpPragmaStr); else if (IslAstInfo::isOutermostParallel(Node)) Printer = printLine(Printer, KnownParallelStr + BrokenReductionsStr); isl_pw_aff_free(DD); return isl_ast_node_for_print(Node, Printer, Options); } /// Check if the current scheduling dimension is parallel. /// /// In case the dimension is parallel we also check if any reduction /// dependences is broken when we exploit this parallelism. If so, /// @p IsReductionParallel will be set to true. The reduction dependences we use /// to check are actually the union of the transitive closure of the initial /// reduction dependences together with their reversal. Even though these /// dependences connect all iterations with each other (thus they are cyclic) /// we can perform the parallelism check as we are only interested in a zero /// (or non-zero) dependence distance on the dimension in question. static bool astScheduleDimIsParallel(__isl_keep isl_ast_build *Build, const Dependences *D, IslAstUserPayload *NodeInfo) { if (!D->hasValidDependences()) return false; isl_union_map *Schedule = isl_ast_build_get_schedule(Build); isl_union_map *Deps = D->getDependences(Dependences::TYPE_RAW | Dependences::TYPE_WAW | Dependences::TYPE_WAR) .release(); if (!D->isParallel(Schedule, Deps)) { isl_union_map *DepsAll = D->getDependences(Dependences::TYPE_RAW | Dependences::TYPE_WAW | Dependences::TYPE_WAR | Dependences::TYPE_TC_RED) .release(); D->isParallel(Schedule, DepsAll, &NodeInfo->MinimalDependenceDistance); isl_union_map_free(Schedule); return false; } isl_union_map *RedDeps = D->getDependences(Dependences::TYPE_TC_RED).release(); if (!D->isParallel(Schedule, RedDeps)) NodeInfo->IsReductionParallel = true; if (!NodeInfo->IsReductionParallel && !isl_union_map_free(Schedule)) return true; // Annotate reduction parallel nodes with the memory accesses which caused the // reduction dependences parallel execution of the node conflicts with. for (const auto &MaRedPair : D->getReductionDependences()) { if (!MaRedPair.second) continue; RedDeps = isl_union_map_from_map(isl_map_copy(MaRedPair.second)); if (!D->isParallel(Schedule, RedDeps)) NodeInfo->BrokenReductions.insert(MaRedPair.first); } isl_union_map_free(Schedule); return true; } // This method is executed before the construction of a for node. It creates // an isl_id that is used to annotate the subsequently generated ast for nodes. // // In this function we also run the following analyses: // // - Detection of openmp parallel loops // static __isl_give isl_id *astBuildBeforeFor(__isl_keep isl_ast_build *Build, void *User) { AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; IslAstUserPayload *Payload = new IslAstUserPayload(); isl_id *Id = isl_id_alloc(isl_ast_build_get_ctx(Build), "", Payload); Id = isl_id_set_free_user(Id, freeIslAstUserPayload); BuildInfo->LastForNodeId = Id; // Test for parallelism only if we are not already inside a parallel loop if (!BuildInfo->InParallelFor) BuildInfo->InParallelFor = Payload->IsOutermostParallel = astScheduleDimIsParallel(Build, BuildInfo->Deps, Payload); return Id; } // This method is executed after the construction of a for node. // // It performs the following actions: // // - Reset the 'InParallelFor' flag, as soon as we leave a for node, // that is marked as openmp parallel. // static __isl_give isl_ast_node * astBuildAfterFor(__isl_take isl_ast_node *Node, __isl_keep isl_ast_build *Build, void *User) { isl_id *Id = isl_ast_node_get_annotation(Node); assert(Id && "Post order visit assumes annotated for nodes"); IslAstUserPayload *Payload = (IslAstUserPayload *)isl_id_get_user(Id); assert(Payload && "Post order visit assumes annotated for nodes"); AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; assert(!Payload->Build && "Build environment already set"); Payload->Build = isl_ast_build_copy(Build); Payload->IsInnermost = (Id == BuildInfo->LastForNodeId); // Innermost loops that are surrounded by parallel loops have not yet been // tested for parallelism. Test them here to ensure we check all innermost // loops for parallelism. if (Payload->IsInnermost && BuildInfo->InParallelFor) { if (Payload->IsOutermostParallel) { Payload->IsInnermostParallel = true; } else { if (PollyVectorizerChoice == VECTORIZER_NONE) Payload->IsInnermostParallel = astScheduleDimIsParallel(Build, BuildInfo->Deps, Payload); } } if (Payload->IsOutermostParallel) BuildInfo->InParallelFor = false; isl_id_free(Id); return Node; } static isl_stat astBuildBeforeMark(__isl_keep isl_id *MarkId, __isl_keep isl_ast_build *Build, void *User) { if (!MarkId) return isl_stat_error; AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; if (strcmp(isl_id_get_name(MarkId), "SIMD") == 0) BuildInfo->InParallelFor = true; return isl_stat_ok; } static __isl_give isl_ast_node * astBuildAfterMark(__isl_take isl_ast_node *Node, __isl_keep isl_ast_build *Build, void *User) { assert(isl_ast_node_get_type(Node) == isl_ast_node_mark); AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; auto *Id = isl_ast_node_mark_get_id(Node); if (strcmp(isl_id_get_name(Id), "SIMD") == 0) BuildInfo->InParallelFor = false; isl_id_free(Id); return Node; } static __isl_give isl_ast_node *AtEachDomain(__isl_take isl_ast_node *Node, __isl_keep isl_ast_build *Build, void *User) { assert(!isl_ast_node_get_annotation(Node) && "Node already annotated"); IslAstUserPayload *Payload = new IslAstUserPayload(); isl_id *Id = isl_id_alloc(isl_ast_build_get_ctx(Build), "", Payload); Id = isl_id_set_free_user(Id, freeIslAstUserPayload); Payload->Build = isl_ast_build_copy(Build); return isl_ast_node_set_annotation(Node, Id); } // Build alias check condition given a pair of minimal/maximal access. static isl::ast_expr buildCondition(Scop &S, isl::ast_build Build, const Scop::MinMaxAccessTy *It0, const Scop::MinMaxAccessTy *It1) { isl::pw_multi_aff AFirst = It0->first; isl::pw_multi_aff ASecond = It0->second; isl::pw_multi_aff BFirst = It1->first; isl::pw_multi_aff BSecond = It1->second; isl::id Left = AFirst.get_tuple_id(isl::dim::set); isl::id Right = BFirst.get_tuple_id(isl::dim::set); isl::ast_expr True = isl::ast_expr::from_val(isl::val::int_from_ui(Build.get_ctx(), 1)); isl::ast_expr False = isl::ast_expr::from_val(isl::val::int_from_ui(Build.get_ctx(), 0)); const ScopArrayInfo *BaseLeft = ScopArrayInfo::getFromId(Left)->getBasePtrOriginSAI(); const ScopArrayInfo *BaseRight = ScopArrayInfo::getFromId(Right)->getBasePtrOriginSAI(); if (BaseLeft && BaseLeft == BaseRight) return True; isl::set Params = S.getContext(); isl::ast_expr NonAliasGroup, MinExpr, MaxExpr; // In the following, we first check if any accesses will be empty under // the execution context of the scop and do not code generate them if this // is the case as isl will fail to derive valid AST expressions for such // accesses. if (!AFirst.intersect_params(Params).domain().is_empty() && !BSecond.intersect_params(Params).domain().is_empty()) { MinExpr = Build.access_from(AFirst).address_of(); MaxExpr = Build.access_from(BSecond).address_of(); NonAliasGroup = MaxExpr.le(MinExpr); } if (!BFirst.intersect_params(Params).domain().is_empty() && !ASecond.intersect_params(Params).domain().is_empty()) { MinExpr = Build.access_from(BFirst).address_of(); MaxExpr = Build.access_from(ASecond).address_of(); isl::ast_expr Result = MaxExpr.le(MinExpr); if (!NonAliasGroup.is_null()) NonAliasGroup = isl::manage( isl_ast_expr_or(NonAliasGroup.release(), Result.release())); else NonAliasGroup = Result; } if (NonAliasGroup.is_null()) NonAliasGroup = True; return NonAliasGroup; } __isl_give isl_ast_expr * IslAst::buildRunCondition(Scop &S, __isl_keep isl_ast_build *Build) { isl_ast_expr *RunCondition; // The conditions that need to be checked at run-time for this scop are // available as an isl_set in the runtime check context from which we can // directly derive a run-time condition. auto *PosCond = isl_ast_build_expr_from_set(Build, S.getAssumedContext().release()); if (S.hasTrivialInvalidContext()) { RunCondition = PosCond; } else { auto *ZeroV = isl_val_zero(isl_ast_build_get_ctx(Build)); auto *NegCond = isl_ast_build_expr_from_set(Build, S.getInvalidContext().release()); auto *NotNegCond = isl_ast_expr_eq(isl_ast_expr_from_val(ZeroV), NegCond); RunCondition = isl_ast_expr_and(PosCond, NotNegCond); } // Create the alias checks from the minimal/maximal accesses in each alias // group which consists of read only and non read only (read write) accesses. // This operation is by construction quadratic in the read-write pointers and // linear in the read only pointers in each alias group. for (const Scop::MinMaxVectorPairTy &MinMaxAccessPair : S.getAliasGroups()) { auto &MinMaxReadWrite = MinMaxAccessPair.first; auto &MinMaxReadOnly = MinMaxAccessPair.second; auto RWAccEnd = MinMaxReadWrite.end(); for (auto RWAccIt0 = MinMaxReadWrite.begin(); RWAccIt0 != RWAccEnd; ++RWAccIt0) { for (auto RWAccIt1 = RWAccIt0 + 1; RWAccIt1 != RWAccEnd; ++RWAccIt1) RunCondition = isl_ast_expr_and( RunCondition, buildCondition(S, isl::manage_copy(Build), RWAccIt0, RWAccIt1) .release()); for (const Scop::MinMaxAccessTy &ROAccIt : MinMaxReadOnly) RunCondition = isl_ast_expr_and( RunCondition, buildCondition(S, isl::manage_copy(Build), RWAccIt0, &ROAccIt) .release()); } } return RunCondition; } /// Simple cost analysis for a given SCoP. /// /// TODO: Improve this analysis and extract it to make it usable in other /// places too. /// In order to improve the cost model we could either keep track of /// performed optimizations (e.g., tiling) or compute properties on the /// original as well as optimized SCoP (e.g., #stride-one-accesses). static bool benefitsFromPolly(Scop &Scop, bool PerformParallelTest) { if (PollyProcessUnprofitable) return true; // Check if nothing interesting happened. if (!PerformParallelTest && !Scop.isOptimized() && Scop.getAliasGroups().empty()) return false; // The default assumption is that Polly improves the code. return true; } /// Collect statistics for the syntax tree rooted at @p Ast. static void walkAstForStatistics(__isl_keep isl_ast_node *Ast) { assert(Ast); isl_ast_node_foreach_descendant_top_down( Ast, [](__isl_keep isl_ast_node *Node, void *User) -> isl_bool { switch (isl_ast_node_get_type(Node)) { case isl_ast_node_for: NumForLoops++; if (IslAstInfo::isParallel(Node)) NumParallel++; if (IslAstInfo::isInnermostParallel(Node)) NumInnermostParallel++; if (IslAstInfo::isOutermostParallel(Node)) NumOutermostParallel++; if (IslAstInfo::isReductionParallel(Node)) NumReductionParallel++; if (IslAstInfo::isExecutedInParallel(Node)) NumExecutedInParallel++; break; case isl_ast_node_if: NumIfConditions++; break; default: break; } // Continue traversing subtrees. return isl_bool_true; }, nullptr); } IslAst::IslAst(Scop &Scop) : S(Scop), Ctx(Scop.getSharedIslCtx()) {} IslAst::IslAst(IslAst &&O) : S(O.S), Root(O.Root), RunCondition(O.RunCondition), Ctx(O.Ctx) { O.Root = nullptr; O.RunCondition = nullptr; } IslAst::~IslAst() { isl_ast_node_free(Root); isl_ast_expr_free(RunCondition); } void IslAst::init(const Dependences &D) { bool PerformParallelTest = PollyParallel || DetectParallel || PollyVectorizerChoice != VECTORIZER_NONE; // We can not perform the dependence analysis and, consequently, // the parallel code generation in case the schedule tree contains // extension nodes. auto ScheduleTree = S.getScheduleTree(); PerformParallelTest = PerformParallelTest && !S.containsExtensionNode(ScheduleTree); // Skip AST and code generation if there was no benefit achieved. if (!benefitsFromPolly(S, PerformParallelTest)) return; auto ScopStats = S.getStatistics(); ScopsBeneficial++; BeneficialAffineLoops += ScopStats.NumAffineLoops; BeneficialBoxedLoops += ScopStats.NumBoxedLoops; auto Ctx = S.getIslCtx(); isl_options_set_ast_build_atomic_upper_bound(Ctx.get(), true); isl_options_set_ast_build_detect_min_max(Ctx.get(), true); isl_ast_build *Build; AstBuildUserInfo BuildInfo; if (UseContext) Build = isl_ast_build_from_context(S.getContext().release()); else Build = isl_ast_build_from_context( isl_set_universe(S.getParamSpace().release())); Build = isl_ast_build_set_at_each_domain(Build, AtEachDomain, nullptr); if (PerformParallelTest) { BuildInfo.Deps = &D; BuildInfo.InParallelFor = false; Build = isl_ast_build_set_before_each_for(Build, &astBuildBeforeFor, &BuildInfo); Build = isl_ast_build_set_after_each_for(Build, &astBuildAfterFor, &BuildInfo); Build = isl_ast_build_set_before_each_mark(Build, &astBuildBeforeMark, &BuildInfo); Build = isl_ast_build_set_after_each_mark(Build, &astBuildAfterMark, &BuildInfo); } RunCondition = buildRunCondition(S, Build); Root = isl_ast_build_node_from_schedule(Build, S.getScheduleTree().release()); walkAstForStatistics(Root); isl_ast_build_free(Build); } IslAst IslAst::create(Scop &Scop, const Dependences &D) { IslAst Ast{Scop}; Ast.init(D); return Ast; } __isl_give isl_ast_node *IslAst::getAst() { return isl_ast_node_copy(Root); } __isl_give isl_ast_expr *IslAst::getRunCondition() { return isl_ast_expr_copy(RunCondition); } __isl_give isl_ast_node *IslAstInfo::getAst() { return Ast.getAst(); } __isl_give isl_ast_expr *IslAstInfo::getRunCondition() { return Ast.getRunCondition(); } IslAstUserPayload *IslAstInfo::getNodePayload(__isl_keep isl_ast_node *Node) { isl_id *Id = isl_ast_node_get_annotation(Node); if (!Id) return nullptr; IslAstUserPayload *Payload = (IslAstUserPayload *)isl_id_get_user(Id); isl_id_free(Id); return Payload; } bool IslAstInfo::isInnermost(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload && Payload->IsInnermost; } bool IslAstInfo::isParallel(__isl_keep isl_ast_node *Node) { return IslAstInfo::isInnermostParallel(Node) || IslAstInfo::isOutermostParallel(Node); } bool IslAstInfo::isInnermostParallel(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload && Payload->IsInnermostParallel; } bool IslAstInfo::isOutermostParallel(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload && Payload->IsOutermostParallel; } bool IslAstInfo::isReductionParallel(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload && Payload->IsReductionParallel; } bool IslAstInfo::isExecutedInParallel(__isl_keep isl_ast_node *Node) { if (!PollyParallel) return false; // Do not parallelize innermost loops. // // Parallelizing innermost loops is often not profitable, especially if // they have a low number of iterations. // // TODO: Decide this based on the number of loop iterations that will be // executed. This can possibly require run-time checks, which again // raises the question of both run-time check overhead and code size // costs. if (!PollyParallelForce && isInnermost(Node)) return false; return isOutermostParallel(Node) && !isReductionParallel(Node); } __isl_give isl_union_map * IslAstInfo::getSchedule(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload ? isl_ast_build_get_schedule(Payload->Build) : nullptr; } __isl_give isl_pw_aff * IslAstInfo::getMinimalDependenceDistance(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload ? isl_pw_aff_copy(Payload->MinimalDependenceDistance) : nullptr; } IslAstInfo::MemoryAccessSet * IslAstInfo::getBrokenReductions(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload ? &Payload->BrokenReductions : nullptr; } isl_ast_build *IslAstInfo::getBuild(__isl_keep isl_ast_node *Node) { IslAstUserPayload *Payload = getNodePayload(Node); return Payload ? Payload->Build : nullptr; } IslAstInfo IslAstAnalysis::run(Scop &S, ScopAnalysisManager &SAM, ScopStandardAnalysisResults &SAR) { return {S, SAM.getResult(S, SAR).getDependences( Dependences::AL_Statement)}; } static __isl_give isl_printer *cbPrintUser(__isl_take isl_printer *P, __isl_take isl_ast_print_options *O, __isl_keep isl_ast_node *Node, void *User) { isl::ast_node AstNode = isl::manage_copy(Node); isl::ast_expr NodeExpr = AstNode.user_get_expr(); isl::ast_expr CallExpr = NodeExpr.get_op_arg(0); isl::id CallExprId = CallExpr.get_id(); ScopStmt *AccessStmt = (ScopStmt *)CallExprId.get_user(); P = isl_printer_start_line(P); P = isl_printer_print_str(P, AccessStmt->getBaseName()); P = isl_printer_print_str(P, "("); P = isl_printer_end_line(P); P = isl_printer_indent(P, 2); for (MemoryAccess *MemAcc : *AccessStmt) { P = isl_printer_start_line(P); if (MemAcc->isRead()) P = isl_printer_print_str(P, "/* read */ &"); else P = isl_printer_print_str(P, "/* write */ "); isl::ast_build Build = isl::manage_copy(IslAstInfo::getBuild(Node)); if (MemAcc->isAffine()) { isl_pw_multi_aff *PwmaPtr = MemAcc->applyScheduleToAccessRelation(Build.get_schedule()).release(); isl::pw_multi_aff Pwma = isl::manage(PwmaPtr); isl::ast_expr AccessExpr = Build.access_from(Pwma); P = isl_printer_print_ast_expr(P, AccessExpr.get()); } else { P = isl_printer_print_str( P, MemAcc->getLatestScopArrayInfo()->getName().c_str()); P = isl_printer_print_str(P, "[*]"); } P = isl_printer_end_line(P); } P = isl_printer_indent(P, -2); P = isl_printer_start_line(P); P = isl_printer_print_str(P, ");"); P = isl_printer_end_line(P); isl_ast_print_options_free(O); return P; } void IslAstInfo::print(raw_ostream &OS) { isl_ast_print_options *Options; isl_ast_node *RootNode = Ast.getAst(); Function &F = S.getFunction(); OS << ":: isl ast :: " << F.getName() << " :: " << S.getNameStr() << "\n"; if (!RootNode) { OS << ":: isl ast generation and code generation was skipped!\n\n"; OS << ":: This is either because no useful optimizations could be applied " "(use -polly-process-unprofitable to enforce code generation) or " "because earlier passes such as dependence analysis timed out (use " "-polly-dependences-computeout=0 to set dependence analysis timeout " "to infinity)\n\n"; return; } isl_ast_expr *RunCondition = Ast.getRunCondition(); char *RtCStr, *AstStr; Options = isl_ast_print_options_alloc(S.getIslCtx().get()); if (PrintAccesses) Options = isl_ast_print_options_set_print_user(Options, cbPrintUser, nullptr); Options = isl_ast_print_options_set_print_for(Options, cbPrintFor, nullptr); isl_printer *P = isl_printer_to_str(S.getIslCtx().get()); P = isl_printer_set_output_format(P, ISL_FORMAT_C); P = isl_printer_print_ast_expr(P, RunCondition); RtCStr = isl_printer_get_str(P); P = isl_printer_flush(P); P = isl_printer_indent(P, 4); P = isl_ast_node_print(RootNode, P, Options); AstStr = isl_printer_get_str(P); auto *Schedule = S.getScheduleTree().release(); LLVM_DEBUG({ dbgs() << S.getContextStr() << "\n"; dbgs() << stringFromIslObj(Schedule); }); OS << "\nif (" << RtCStr << ")\n\n"; OS << AstStr << "\n"; OS << "else\n"; OS << " { /* original code */ }\n\n"; free(RtCStr); free(AstStr); isl_ast_expr_free(RunCondition); isl_schedule_free(Schedule); isl_ast_node_free(RootNode); isl_printer_free(P); } AnalysisKey IslAstAnalysis::Key; PreservedAnalyses IslAstPrinterPass::run(Scop &S, ScopAnalysisManager &SAM, ScopStandardAnalysisResults &SAR, SPMUpdater &U) { auto &Ast = SAM.getResult(S, SAR); Ast.print(OS); return PreservedAnalyses::all(); } void IslAstInfoWrapperPass::releaseMemory() { Ast.reset(); } bool IslAstInfoWrapperPass::runOnScop(Scop &Scop) { // Skip SCoPs in case they're already handled by PPCGCodeGeneration. if (Scop.isToBeSkipped()) return false; ScopsProcessed++; const Dependences &D = getAnalysis().getDependences(Dependences::AL_Statement); if (D.getSharedIslCtx() != Scop.getSharedIslCtx()) { LLVM_DEBUG( dbgs() << "Got dependence analysis for different SCoP/isl_ctx\n"); Ast.reset(); return false; } Ast.reset(new IslAstInfo(Scop, D)); LLVM_DEBUG(printScop(dbgs(), Scop)); return false; } void IslAstInfoWrapperPass::getAnalysisUsage(AnalysisUsage &AU) const { // Get the Common analysis usage of ScopPasses. ScopPass::getAnalysisUsage(AU); AU.addRequiredTransitive(); AU.addRequired(); AU.addPreserved(); } void IslAstInfoWrapperPass::printScop(raw_ostream &OS, Scop &S) const { if (Ast) Ast->print(OS); } char IslAstInfoWrapperPass::ID = 0; Pass *polly::createIslAstInfoWrapperPassPass() { return new IslAstInfoWrapperPass(); } INITIALIZE_PASS_BEGIN(IslAstInfoWrapperPass, "polly-ast", "Polly - Generate an AST of the SCoP (isl)", false, false); INITIALIZE_PASS_DEPENDENCY(ScopInfoRegionPass); INITIALIZE_PASS_DEPENDENCY(DependenceInfo); INITIALIZE_PASS_END(IslAstInfoWrapperPass, "polly-ast", "Polly - Generate an AST from the SCoP (isl)", false, false)