1 //===- IslAst.cpp - isl code generator interface --------------------------===// 2 // 3 // The LLVM Compiler Infrastructure 4 // 5 // This file is distributed under the University of Illinois Open Source 6 // License. See LICENSE.TXT for details. 7 // 8 //===----------------------------------------------------------------------===// 9 // 10 // The isl code generator interface takes a Scop and generates an isl_ast. This 11 // ist_ast can either be returned directly or it can be pretty printed to 12 // stdout. 13 // 14 // A typical isl_ast output looks like this: 15 // 16 // for (c2 = max(0, ceild(n + m, 2); c2 <= min(511, floord(5 * n, 3)); c2++) { 17 // bb2(c2); 18 // } 19 // 20 // An in-depth discussion of our AST generation approach can be found in: 21 // 22 // Polyhedral AST generation is more than scanning polyhedra 23 // Tobias Grosser, Sven Verdoolaege, Albert Cohen 24 // ACM Transactions on Programming Languages and Systems (TOPLAS), 25 // 37(4), July 2015 26 // http://www.grosser.es/#pub-polyhedral-AST-generation 27 // 28 //===----------------------------------------------------------------------===// 29 30 #include "polly/CodeGen/IslAst.h" 31 #include "polly/CodeGen/CodeGeneration.h" 32 #include "polly/DependenceInfo.h" 33 #include "polly/LinkAllPasses.h" 34 #include "polly/Options.h" 35 #include "polly/ScopInfo.h" 36 #include "polly/Support/GICHelper.h" 37 #include "llvm/Analysis/RegionInfo.h" 38 #include "llvm/Support/Debug.h" 39 #include "isl/aff.h" 40 #include "isl/ast_build.h" 41 #include "isl/list.h" 42 #include "isl/map.h" 43 #include "isl/set.h" 44 #include "isl/union_map.h" 45 46 #include <utility> 47 48 #define DEBUG_TYPE "polly-ast" 49 50 using namespace llvm; 51 using namespace polly; 52 53 using IslAstUserPayload = IslAstInfo::IslAstUserPayload; 54 55 static cl::opt<bool> 56 PollyParallel("polly-parallel", 57 cl::desc("Generate thread parallel code (isl codegen only)"), 58 cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory)); 59 60 static cl::opt<bool> PrintAccesses("polly-ast-print-accesses", 61 cl::desc("Print memory access functions"), 62 cl::init(false), cl::ZeroOrMore, 63 cl::cat(PollyCategory)); 64 65 static cl::opt<bool> PollyParallelForce( 66 "polly-parallel-force", 67 cl::desc( 68 "Force generation of thread parallel code ignoring any cost model"), 69 cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory)); 70 71 static cl::opt<bool> UseContext("polly-ast-use-context", 72 cl::desc("Use context"), cl::Hidden, 73 cl::init(true), cl::ZeroOrMore, 74 cl::cat(PollyCategory)); 75 76 static cl::opt<bool> DetectParallel("polly-ast-detect-parallel", 77 cl::desc("Detect parallelism"), cl::Hidden, 78 cl::init(false), cl::ZeroOrMore, 79 cl::cat(PollyCategory)); 80 81 namespace polly { 82 /// Temporary information used when building the ast. 83 struct AstBuildUserInfo { 84 /// Construct and initialize the helper struct for AST creation. 85 AstBuildUserInfo() 86 : Deps(nullptr), InParallelFor(false), LastForNodeId(nullptr) {} 87 88 /// The dependence information used for the parallelism check. 89 const Dependences *Deps; 90 91 /// Flag to indicate that we are inside a parallel for node. 92 bool InParallelFor; 93 94 /// The last iterator id created for the current SCoP. 95 isl_id *LastForNodeId; 96 }; 97 } // namespace polly 98 99 /// Free an IslAstUserPayload object pointed to by @p Ptr. 100 static void freeIslAstUserPayload(void *Ptr) { 101 delete ((IslAstInfo::IslAstUserPayload *)Ptr); 102 } 103 104 IslAstInfo::IslAstUserPayload::~IslAstUserPayload() { 105 isl_ast_build_free(Build); 106 isl_pw_aff_free(MinimalDependenceDistance); 107 } 108 109 /// Print a string @p str in a single line using @p Printer. 110 static isl_printer *printLine(__isl_take isl_printer *Printer, 111 const std::string &str, 112 __isl_keep isl_pw_aff *PWA = nullptr) { 113 Printer = isl_printer_start_line(Printer); 114 Printer = isl_printer_print_str(Printer, str.c_str()); 115 if (PWA) 116 Printer = isl_printer_print_pw_aff(Printer, PWA); 117 return isl_printer_end_line(Printer); 118 } 119 120 /// Return all broken reductions as a string of clauses (OpenMP style). 121 static const std::string getBrokenReductionsStr(__isl_keep isl_ast_node *Node) { 122 IslAstInfo::MemoryAccessSet *BrokenReductions; 123 std::string str; 124 125 BrokenReductions = IslAstInfo::getBrokenReductions(Node); 126 if (!BrokenReductions || BrokenReductions->empty()) 127 return ""; 128 129 // Map each type of reduction to a comma separated list of the base addresses. 130 std::map<MemoryAccess::ReductionType, std::string> Clauses; 131 for (MemoryAccess *MA : *BrokenReductions) 132 if (MA->isWrite()) 133 Clauses[MA->getReductionType()] += 134 ", " + MA->getScopArrayInfo()->getName(); 135 136 // Now print the reductions sorted by type. Each type will cause a clause 137 // like: reduction (+ : sum0, sum1, sum2) 138 for (const auto &ReductionClause : Clauses) { 139 str += " reduction ("; 140 str += MemoryAccess::getReductionOperatorStr(ReductionClause.first); 141 // Remove the first two symbols (", ") to make the output look pretty. 142 str += " : " + ReductionClause.second.substr(2) + ")"; 143 } 144 145 return str; 146 } 147 148 /// Callback executed for each for node in the ast in order to print it. 149 static isl_printer *cbPrintFor(__isl_take isl_printer *Printer, 150 __isl_take isl_ast_print_options *Options, 151 __isl_keep isl_ast_node *Node, void *) { 152 153 isl_pw_aff *DD = IslAstInfo::getMinimalDependenceDistance(Node); 154 const std::string BrokenReductionsStr = getBrokenReductionsStr(Node); 155 const std::string KnownParallelStr = "#pragma known-parallel"; 156 const std::string DepDisPragmaStr = "#pragma minimal dependence distance: "; 157 const std::string SimdPragmaStr = "#pragma simd"; 158 const std::string OmpPragmaStr = "#pragma omp parallel for"; 159 160 if (DD) 161 Printer = printLine(Printer, DepDisPragmaStr, DD); 162 163 if (IslAstInfo::isInnermostParallel(Node)) 164 Printer = printLine(Printer, SimdPragmaStr + BrokenReductionsStr); 165 166 if (IslAstInfo::isExecutedInParallel(Node)) 167 Printer = printLine(Printer, OmpPragmaStr); 168 else if (IslAstInfo::isOutermostParallel(Node)) 169 Printer = printLine(Printer, KnownParallelStr + BrokenReductionsStr); 170 171 isl_pw_aff_free(DD); 172 return isl_ast_node_for_print(Node, Printer, Options); 173 } 174 175 /// Check if the current scheduling dimension is parallel. 176 /// 177 /// In case the dimension is parallel we also check if any reduction 178 /// dependences is broken when we exploit this parallelism. If so, 179 /// @p IsReductionParallel will be set to true. The reduction dependences we use 180 /// to check are actually the union of the transitive closure of the initial 181 /// reduction dependences together with their reversal. Even though these 182 /// dependences connect all iterations with each other (thus they are cyclic) 183 /// we can perform the parallelism check as we are only interested in a zero 184 /// (or non-zero) dependence distance on the dimension in question. 185 static bool astScheduleDimIsParallel(__isl_keep isl_ast_build *Build, 186 const Dependences *D, 187 IslAstUserPayload *NodeInfo) { 188 if (!D->hasValidDependences()) 189 return false; 190 191 isl_union_map *Schedule = isl_ast_build_get_schedule(Build); 192 isl_union_map *Deps = D->getDependences( 193 Dependences::TYPE_RAW | Dependences::TYPE_WAW | Dependences::TYPE_WAR); 194 195 if (!D->isParallel(Schedule, Deps, &NodeInfo->MinimalDependenceDistance) && 196 !isl_union_map_free(Schedule)) 197 return false; 198 199 isl_union_map *RedDeps = D->getDependences(Dependences::TYPE_TC_RED); 200 if (!D->isParallel(Schedule, RedDeps)) 201 NodeInfo->IsReductionParallel = true; 202 203 if (!NodeInfo->IsReductionParallel && !isl_union_map_free(Schedule)) 204 return true; 205 206 // Annotate reduction parallel nodes with the memory accesses which caused the 207 // reduction dependences parallel execution of the node conflicts with. 208 for (const auto &MaRedPair : D->getReductionDependences()) { 209 if (!MaRedPair.second) 210 continue; 211 RedDeps = isl_union_map_from_map(isl_map_copy(MaRedPair.second)); 212 if (!D->isParallel(Schedule, RedDeps)) 213 NodeInfo->BrokenReductions.insert(MaRedPair.first); 214 } 215 216 isl_union_map_free(Schedule); 217 return true; 218 } 219 220 // This method is executed before the construction of a for node. It creates 221 // an isl_id that is used to annotate the subsequently generated ast for nodes. 222 // 223 // In this function we also run the following analyses: 224 // 225 // - Detection of openmp parallel loops 226 // 227 static __isl_give isl_id *astBuildBeforeFor(__isl_keep isl_ast_build *Build, 228 void *User) { 229 AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; 230 IslAstUserPayload *Payload = new IslAstUserPayload(); 231 isl_id *Id = isl_id_alloc(isl_ast_build_get_ctx(Build), "", Payload); 232 Id = isl_id_set_free_user(Id, freeIslAstUserPayload); 233 BuildInfo->LastForNodeId = Id; 234 235 // Test for parallelism only if we are not already inside a parallel loop 236 if (!BuildInfo->InParallelFor) 237 BuildInfo->InParallelFor = Payload->IsOutermostParallel = 238 astScheduleDimIsParallel(Build, BuildInfo->Deps, Payload); 239 240 return Id; 241 } 242 243 // This method is executed after the construction of a for node. 244 // 245 // It performs the following actions: 246 // 247 // - Reset the 'InParallelFor' flag, as soon as we leave a for node, 248 // that is marked as openmp parallel. 249 // 250 static __isl_give isl_ast_node * 251 astBuildAfterFor(__isl_take isl_ast_node *Node, __isl_keep isl_ast_build *Build, 252 void *User) { 253 isl_id *Id = isl_ast_node_get_annotation(Node); 254 assert(Id && "Post order visit assumes annotated for nodes"); 255 IslAstUserPayload *Payload = (IslAstUserPayload *)isl_id_get_user(Id); 256 assert(Payload && "Post order visit assumes annotated for nodes"); 257 258 AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; 259 assert(!Payload->Build && "Build environment already set"); 260 Payload->Build = isl_ast_build_copy(Build); 261 Payload->IsInnermost = (Id == BuildInfo->LastForNodeId); 262 263 // Innermost loops that are surrounded by parallel loops have not yet been 264 // tested for parallelism. Test them here to ensure we check all innermost 265 // loops for parallelism. 266 if (Payload->IsInnermost && BuildInfo->InParallelFor) { 267 if (Payload->IsOutermostParallel) { 268 Payload->IsInnermostParallel = true; 269 } else { 270 if (PollyVectorizerChoice == VECTORIZER_NONE) 271 Payload->IsInnermostParallel = 272 astScheduleDimIsParallel(Build, BuildInfo->Deps, Payload); 273 } 274 } 275 if (Payload->IsOutermostParallel) 276 BuildInfo->InParallelFor = false; 277 278 isl_id_free(Id); 279 return Node; 280 } 281 282 static isl_stat astBuildBeforeMark(__isl_keep isl_id *MarkId, 283 __isl_keep isl_ast_build *Build, 284 void *User) { 285 if (!MarkId) 286 return isl_stat_error; 287 288 AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; 289 if (!strcmp(isl_id_get_name(MarkId), "SIMD")) 290 BuildInfo->InParallelFor = true; 291 292 return isl_stat_ok; 293 } 294 295 static __isl_give isl_ast_node * 296 astBuildAfterMark(__isl_take isl_ast_node *Node, 297 __isl_keep isl_ast_build *Build, void *User) { 298 assert(isl_ast_node_get_type(Node) == isl_ast_node_mark); 299 AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User; 300 auto *Id = isl_ast_node_mark_get_id(Node); 301 if (!strcmp(isl_id_get_name(Id), "SIMD")) 302 BuildInfo->InParallelFor = false; 303 isl_id_free(Id); 304 return Node; 305 } 306 307 static __isl_give isl_ast_node *AtEachDomain(__isl_take isl_ast_node *Node, 308 __isl_keep isl_ast_build *Build, 309 void *User) { 310 assert(!isl_ast_node_get_annotation(Node) && "Node already annotated"); 311 312 IslAstUserPayload *Payload = new IslAstUserPayload(); 313 isl_id *Id = isl_id_alloc(isl_ast_build_get_ctx(Build), "", Payload); 314 Id = isl_id_set_free_user(Id, freeIslAstUserPayload); 315 316 Payload->Build = isl_ast_build_copy(Build); 317 318 return isl_ast_node_set_annotation(Node, Id); 319 } 320 321 // Build alias check condition given a pair of minimal/maximal access. 322 static __isl_give isl_ast_expr * 323 buildCondition(__isl_keep isl_ast_build *Build, const Scop::MinMaxAccessTy *It0, 324 const Scop::MinMaxAccessTy *It1) { 325 isl_ast_expr *NonAliasGroup, *MinExpr, *MaxExpr; 326 MinExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff( 327 Build, isl_pw_multi_aff_copy(It0->first))); 328 MaxExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff( 329 Build, isl_pw_multi_aff_copy(It1->second))); 330 NonAliasGroup = isl_ast_expr_le(MaxExpr, MinExpr); 331 MinExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff( 332 Build, isl_pw_multi_aff_copy(It1->first))); 333 MaxExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff( 334 Build, isl_pw_multi_aff_copy(It0->second))); 335 NonAliasGroup = 336 isl_ast_expr_or(NonAliasGroup, isl_ast_expr_le(MaxExpr, MinExpr)); 337 338 return NonAliasGroup; 339 } 340 341 __isl_give isl_ast_expr * 342 IslAst::buildRunCondition(Scop &S, __isl_keep isl_ast_build *Build) { 343 isl_ast_expr *RunCondition; 344 345 // The conditions that need to be checked at run-time for this scop are 346 // available as an isl_set in the runtime check context from which we can 347 // directly derive a run-time condition. 348 auto *PosCond = 349 isl_ast_build_expr_from_set(Build, S.getAssumedContext().release()); 350 if (S.hasTrivialInvalidContext()) { 351 RunCondition = PosCond; 352 } else { 353 auto *ZeroV = isl_val_zero(isl_ast_build_get_ctx(Build)); 354 auto *NegCond = 355 isl_ast_build_expr_from_set(Build, S.getInvalidContext().release()); 356 auto *NotNegCond = isl_ast_expr_eq(isl_ast_expr_from_val(ZeroV), NegCond); 357 RunCondition = isl_ast_expr_and(PosCond, NotNegCond); 358 } 359 360 // Create the alias checks from the minimal/maximal accesses in each alias 361 // group which consists of read only and non read only (read write) accesses. 362 // This operation is by construction quadratic in the read-write pointers and 363 // linear in the read only pointers in each alias group. 364 for (const Scop::MinMaxVectorPairTy &MinMaxAccessPair : S.getAliasGroups()) { 365 auto &MinMaxReadWrite = MinMaxAccessPair.first; 366 auto &MinMaxReadOnly = MinMaxAccessPair.second; 367 auto RWAccEnd = MinMaxReadWrite.end(); 368 369 for (auto RWAccIt0 = MinMaxReadWrite.begin(); RWAccIt0 != RWAccEnd; 370 ++RWAccIt0) { 371 for (auto RWAccIt1 = RWAccIt0 + 1; RWAccIt1 != RWAccEnd; ++RWAccIt1) 372 RunCondition = isl_ast_expr_and( 373 RunCondition, buildCondition(Build, RWAccIt0, RWAccIt1)); 374 for (const Scop::MinMaxAccessTy &ROAccIt : MinMaxReadOnly) 375 RunCondition = isl_ast_expr_and( 376 RunCondition, buildCondition(Build, RWAccIt0, &ROAccIt)); 377 } 378 } 379 380 return RunCondition; 381 } 382 383 /// Simple cost analysis for a given SCoP. 384 /// 385 /// TODO: Improve this analysis and extract it to make it usable in other 386 /// places too. 387 /// In order to improve the cost model we could either keep track of 388 /// performed optimizations (e.g., tiling) or compute properties on the 389 /// original as well as optimized SCoP (e.g., #stride-one-accesses). 390 static bool benefitsFromPolly(Scop &Scop, bool PerformParallelTest) { 391 392 if (PollyProcessUnprofitable) 393 return true; 394 395 // Check if nothing interesting happened. 396 if (!PerformParallelTest && !Scop.isOptimized() && 397 Scop.getAliasGroups().empty()) 398 return false; 399 400 // The default assumption is that Polly improves the code. 401 return true; 402 } 403 404 IslAst::IslAst(Scop &Scop) 405 : S(Scop), Root(nullptr), RunCondition(nullptr), 406 Ctx(Scop.getSharedIslCtx()) {} 407 408 void IslAst::init(const Dependences &D) { 409 bool PerformParallelTest = PollyParallel || DetectParallel || 410 PollyVectorizerChoice != VECTORIZER_NONE; 411 412 // We can not perform the dependence analysis and, consequently, 413 // the parallel code generation in case the schedule tree contains 414 // extension nodes. 415 auto *ScheduleTree = S.getScheduleTree().release(); 416 PerformParallelTest = 417 PerformParallelTest && !S.containsExtensionNode(ScheduleTree); 418 isl_schedule_free(ScheduleTree); 419 420 // Skip AST and code generation if there was no benefit achieved. 421 if (!benefitsFromPolly(S, PerformParallelTest)) 422 return; 423 424 isl_ctx *Ctx = S.getIslCtx(); 425 isl_options_set_ast_build_atomic_upper_bound(Ctx, true); 426 isl_options_set_ast_build_detect_min_max(Ctx, true); 427 isl_ast_build *Build; 428 AstBuildUserInfo BuildInfo; 429 430 if (UseContext) 431 Build = isl_ast_build_from_context(S.getContext().release()); 432 else 433 Build = isl_ast_build_from_context( 434 isl_set_universe(S.getParamSpace().release())); 435 436 Build = isl_ast_build_set_at_each_domain(Build, AtEachDomain, nullptr); 437 438 if (PerformParallelTest) { 439 BuildInfo.Deps = &D; 440 BuildInfo.InParallelFor = 0; 441 442 Build = isl_ast_build_set_before_each_for(Build, &astBuildBeforeFor, 443 &BuildInfo); 444 Build = 445 isl_ast_build_set_after_each_for(Build, &astBuildAfterFor, &BuildInfo); 446 447 Build = isl_ast_build_set_before_each_mark(Build, &astBuildBeforeMark, 448 &BuildInfo); 449 450 Build = isl_ast_build_set_after_each_mark(Build, &astBuildAfterMark, 451 &BuildInfo); 452 } 453 454 RunCondition = buildRunCondition(S, Build); 455 456 Root = isl_ast_build_node_from_schedule(Build, S.getScheduleTree().release()); 457 458 isl_ast_build_free(Build); 459 } 460 461 IslAst IslAst::create(Scop &Scop, const Dependences &D) { 462 IslAst Ast{Scop}; 463 Ast.init(D); 464 return Ast; 465 } 466 467 IslAst::IslAst(IslAst &&O) 468 : S(O.S), Root(O.Root), RunCondition(O.RunCondition), Ctx(O.Ctx) { 469 O.Root = nullptr; 470 O.RunCondition = nullptr; 471 } 472 473 IslAst::~IslAst() { 474 isl_ast_node_free(Root); 475 isl_ast_expr_free(RunCondition); 476 } 477 478 __isl_give isl_ast_node *IslAst::getAst() { return isl_ast_node_copy(Root); } 479 __isl_give isl_ast_expr *IslAst::getRunCondition() { 480 return isl_ast_expr_copy(RunCondition); 481 } 482 483 __isl_give isl_ast_node *IslAstInfo::getAst() { return Ast.getAst(); } 484 __isl_give isl_ast_expr *IslAstInfo::getRunCondition() { 485 return Ast.getRunCondition(); 486 } 487 488 IslAstUserPayload *IslAstInfo::getNodePayload(__isl_keep isl_ast_node *Node) { 489 isl_id *Id = isl_ast_node_get_annotation(Node); 490 if (!Id) 491 return nullptr; 492 IslAstUserPayload *Payload = (IslAstUserPayload *)isl_id_get_user(Id); 493 isl_id_free(Id); 494 return Payload; 495 } 496 497 bool IslAstInfo::isInnermost(__isl_keep isl_ast_node *Node) { 498 IslAstUserPayload *Payload = getNodePayload(Node); 499 return Payload && Payload->IsInnermost; 500 } 501 502 bool IslAstInfo::isParallel(__isl_keep isl_ast_node *Node) { 503 return IslAstInfo::isInnermostParallel(Node) || 504 IslAstInfo::isOutermostParallel(Node); 505 } 506 507 bool IslAstInfo::isInnermostParallel(__isl_keep isl_ast_node *Node) { 508 IslAstUserPayload *Payload = getNodePayload(Node); 509 return Payload && Payload->IsInnermostParallel; 510 } 511 512 bool IslAstInfo::isOutermostParallel(__isl_keep isl_ast_node *Node) { 513 IslAstUserPayload *Payload = getNodePayload(Node); 514 return Payload && Payload->IsOutermostParallel; 515 } 516 517 bool IslAstInfo::isReductionParallel(__isl_keep isl_ast_node *Node) { 518 IslAstUserPayload *Payload = getNodePayload(Node); 519 return Payload && Payload->IsReductionParallel; 520 } 521 522 bool IslAstInfo::isExecutedInParallel(__isl_keep isl_ast_node *Node) { 523 524 if (!PollyParallel) 525 return false; 526 527 // Do not parallelize innermost loops. 528 // 529 // Parallelizing innermost loops is often not profitable, especially if 530 // they have a low number of iterations. 531 // 532 // TODO: Decide this based on the number of loop iterations that will be 533 // executed. This can possibly require run-time checks, which again 534 // raises the question of both run-time check overhead and code size 535 // costs. 536 if (!PollyParallelForce && isInnermost(Node)) 537 return false; 538 539 return isOutermostParallel(Node) && !isReductionParallel(Node); 540 } 541 542 __isl_give isl_union_map * 543 IslAstInfo::getSchedule(__isl_keep isl_ast_node *Node) { 544 IslAstUserPayload *Payload = getNodePayload(Node); 545 return Payload ? isl_ast_build_get_schedule(Payload->Build) : nullptr; 546 } 547 548 __isl_give isl_pw_aff * 549 IslAstInfo::getMinimalDependenceDistance(__isl_keep isl_ast_node *Node) { 550 IslAstUserPayload *Payload = getNodePayload(Node); 551 return Payload ? isl_pw_aff_copy(Payload->MinimalDependenceDistance) 552 : nullptr; 553 } 554 555 IslAstInfo::MemoryAccessSet * 556 IslAstInfo::getBrokenReductions(__isl_keep isl_ast_node *Node) { 557 IslAstUserPayload *Payload = getNodePayload(Node); 558 return Payload ? &Payload->BrokenReductions : nullptr; 559 } 560 561 isl_ast_build *IslAstInfo::getBuild(__isl_keep isl_ast_node *Node) { 562 IslAstUserPayload *Payload = getNodePayload(Node); 563 return Payload ? Payload->Build : nullptr; 564 } 565 566 IslAstInfo IslAstAnalysis::run(Scop &S, ScopAnalysisManager &SAM, 567 ScopStandardAnalysisResults &SAR) { 568 return {S, SAM.getResult<DependenceAnalysis>(S, SAR).getDependences( 569 Dependences::AL_Statement)}; 570 } 571 572 static __isl_give isl_printer *cbPrintUser(__isl_take isl_printer *P, 573 __isl_take isl_ast_print_options *O, 574 __isl_keep isl_ast_node *Node, 575 void *User) { 576 isl::ast_node AstNode = isl::manage(isl_ast_node_copy(Node)); 577 isl::ast_expr NodeExpr = AstNode.user_get_expr(); 578 isl::ast_expr CallExpr = NodeExpr.get_op_arg(0); 579 isl::id CallExprId = CallExpr.get_id(); 580 ScopStmt *AccessStmt = (ScopStmt *)CallExprId.get_user(); 581 582 P = isl_printer_start_line(P); 583 P = isl_printer_print_str(P, AccessStmt->getBaseName()); 584 P = isl_printer_print_str(P, "("); 585 P = isl_printer_end_line(P); 586 P = isl_printer_indent(P, 2); 587 588 for (MemoryAccess *MemAcc : *AccessStmt) { 589 P = isl_printer_start_line(P); 590 591 if (MemAcc->isRead()) 592 P = isl_printer_print_str(P, "/* read */ &"); 593 else 594 P = isl_printer_print_str(P, "/* write */ "); 595 596 isl::ast_build Build = 597 isl::manage(isl_ast_build_copy(IslAstInfo::getBuild(Node))); 598 if (MemAcc->isAffine()) { 599 isl_pw_multi_aff *PwmaPtr = 600 MemAcc->applyScheduleToAccessRelation(Build.get_schedule()).release(); 601 isl::pw_multi_aff Pwma = isl::manage(PwmaPtr); 602 isl::ast_expr AccessExpr = Build.access_from(Pwma); 603 P = isl_printer_print_ast_expr(P, AccessExpr.get()); 604 } else { 605 P = isl_printer_print_str( 606 P, MemAcc->getLatestScopArrayInfo()->getName().c_str()); 607 P = isl_printer_print_str(P, "[*]"); 608 } 609 P = isl_printer_end_line(P); 610 } 611 612 P = isl_printer_indent(P, -2); 613 P = isl_printer_start_line(P); 614 P = isl_printer_print_str(P, ");"); 615 P = isl_printer_end_line(P); 616 617 isl_ast_print_options_free(O); 618 return P; 619 } 620 621 void IslAstInfo::print(raw_ostream &OS) { 622 isl_ast_print_options *Options; 623 isl_ast_node *RootNode = Ast.getAst(); 624 Function &F = S.getFunction(); 625 626 OS << ":: isl ast :: " << F.getName() << " :: " << S.getNameStr() << "\n"; 627 628 if (!RootNode) { 629 OS << ":: isl ast generation and code generation was skipped!\n\n"; 630 OS << ":: This is either because no useful optimizations could be applied " 631 "(use -polly-process-unprofitable to enforce code generation) or " 632 "because earlier passes such as dependence analysis timed out (use " 633 "-polly-dependences-computeout=0 to set dependence analysis timeout " 634 "to infinity)\n\n"; 635 return; 636 } 637 638 isl_ast_expr *RunCondition = Ast.getRunCondition(); 639 char *RtCStr, *AstStr; 640 641 Options = isl_ast_print_options_alloc(S.getIslCtx()); 642 643 if (PrintAccesses) 644 Options = 645 isl_ast_print_options_set_print_user(Options, cbPrintUser, nullptr); 646 Options = isl_ast_print_options_set_print_for(Options, cbPrintFor, nullptr); 647 648 isl_printer *P = isl_printer_to_str(S.getIslCtx()); 649 P = isl_printer_set_output_format(P, ISL_FORMAT_C); 650 P = isl_printer_print_ast_expr(P, RunCondition); 651 RtCStr = isl_printer_get_str(P); 652 P = isl_printer_flush(P); 653 P = isl_printer_indent(P, 4); 654 P = isl_ast_node_print(RootNode, P, Options); 655 AstStr = isl_printer_get_str(P); 656 657 auto *Schedule = S.getScheduleTree().release(); 658 659 DEBUG({ 660 dbgs() << S.getContextStr() << "\n"; 661 dbgs() << stringFromIslObj(Schedule); 662 }); 663 OS << "\nif (" << RtCStr << ")\n\n"; 664 OS << AstStr << "\n"; 665 OS << "else\n"; 666 OS << " { /* original code */ }\n\n"; 667 668 free(RtCStr); 669 free(AstStr); 670 671 isl_ast_expr_free(RunCondition); 672 isl_schedule_free(Schedule); 673 isl_ast_node_free(RootNode); 674 isl_printer_free(P); 675 } 676 677 AnalysisKey IslAstAnalysis::Key; 678 PreservedAnalyses IslAstPrinterPass::run(Scop &S, ScopAnalysisManager &SAM, 679 ScopStandardAnalysisResults &SAR, 680 SPMUpdater &U) { 681 682 auto &Ast = SAM.getResult<IslAstAnalysis>(S, SAR); 683 Ast.print(Stream); 684 return PreservedAnalyses::all(); 685 } 686 687 void IslAstInfoWrapperPass::releaseMemory() { Ast.reset(); } 688 689 bool IslAstInfoWrapperPass::runOnScop(Scop &Scop) { 690 691 // Skip SCoPs in case they're already handled by PPCGCodeGeneration. 692 if (Scop.isToBeSkipped()) 693 return false; 694 695 const Dependences &D = 696 getAnalysis<DependenceInfo>().getDependences(Dependences::AL_Statement); 697 698 Ast.reset(new IslAstInfo(Scop, D)); 699 700 DEBUG(printScop(dbgs(), Scop)); 701 return false; 702 } 703 void IslAstInfoWrapperPass::getAnalysisUsage(AnalysisUsage &AU) const { 704 // Get the Common analysis usage of ScopPasses. 705 ScopPass::getAnalysisUsage(AU); 706 AU.addRequired<ScopInfoRegionPass>(); 707 AU.addRequired<DependenceInfo>(); 708 } 709 710 void IslAstInfoWrapperPass::printScop(raw_ostream &OS, Scop &S) const { 711 if (Ast) 712 Ast->print(OS); 713 } 714 715 char IslAstInfoWrapperPass::ID = 0; 716 717 Pass *polly::createIslAstInfoWrapperPassPass() { 718 return new IslAstInfoWrapperPass(); 719 } 720 721 INITIALIZE_PASS_BEGIN(IslAstInfoWrapperPass, "polly-ast", 722 "Polly - Generate an AST of the SCoP (isl)", false, 723 false); 724 INITIALIZE_PASS_DEPENDENCY(ScopInfoRegionPass); 725 INITIALIZE_PASS_DEPENDENCY(DependenceInfo); 726 INITIALIZE_PASS_END(IslAstInfoWrapperPass, "polly-ast", 727 "Polly - Generate an AST from the SCoP (isl)", false, false) 728