1 //===--- SemaCUDA.cpp - Semantic Analysis for CUDA constructs -------------===// 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 /// \file 10 /// \brief This file implements semantic analysis for CUDA constructs. 11 /// 12 //===----------------------------------------------------------------------===// 13 14 #include "clang/AST/ASTContext.h" 15 #include "clang/AST/Decl.h" 16 #include "clang/AST/ExprCXX.h" 17 #include "clang/Lex/Preprocessor.h" 18 #include "clang/Sema/Lookup.h" 19 #include "clang/Sema/Sema.h" 20 #include "clang/Sema/SemaDiagnostic.h" 21 #include "clang/Sema/SemaInternal.h" 22 #include "clang/Sema/Template.h" 23 #include "llvm/ADT/Optional.h" 24 #include "llvm/ADT/SmallVector.h" 25 using namespace clang; 26 27 void Sema::PushForceCUDAHostDevice() { 28 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 29 ForceCUDAHostDeviceDepth++; 30 } 31 32 bool Sema::PopForceCUDAHostDevice() { 33 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 34 if (ForceCUDAHostDeviceDepth == 0) 35 return false; 36 ForceCUDAHostDeviceDepth--; 37 return true; 38 } 39 40 ExprResult Sema::ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc, 41 MultiExprArg ExecConfig, 42 SourceLocation GGGLoc) { 43 FunctionDecl *ConfigDecl = Context.getcudaConfigureCallDecl(); 44 if (!ConfigDecl) 45 return ExprError( 46 Diag(LLLLoc, diag::err_undeclared_var_use) 47 << (getLangOpts().HIP ? "hipConfigureCall" : "cudaConfigureCall")); 48 QualType ConfigQTy = ConfigDecl->getType(); 49 50 DeclRefExpr *ConfigDR = new (Context) 51 DeclRefExpr(ConfigDecl, false, ConfigQTy, VK_LValue, LLLLoc); 52 MarkFunctionReferenced(LLLLoc, ConfigDecl); 53 54 return ActOnCallExpr(S, ConfigDR, LLLLoc, ExecConfig, GGGLoc, nullptr, 55 /*IsExecConfig=*/true); 56 } 57 58 Sema::CUDAFunctionTarget Sema::IdentifyCUDATarget(const AttributeList *Attr) { 59 bool HasHostAttr = false; 60 bool HasDeviceAttr = false; 61 bool HasGlobalAttr = false; 62 bool HasInvalidTargetAttr = false; 63 while (Attr) { 64 switch(Attr->getKind()){ 65 case AttributeList::AT_CUDAGlobal: 66 HasGlobalAttr = true; 67 break; 68 case AttributeList::AT_CUDAHost: 69 HasHostAttr = true; 70 break; 71 case AttributeList::AT_CUDADevice: 72 HasDeviceAttr = true; 73 break; 74 case AttributeList::AT_CUDAInvalidTarget: 75 HasInvalidTargetAttr = true; 76 break; 77 default: 78 break; 79 } 80 Attr = Attr->getNext(); 81 } 82 if (HasInvalidTargetAttr) 83 return CFT_InvalidTarget; 84 85 if (HasGlobalAttr) 86 return CFT_Global; 87 88 if (HasHostAttr && HasDeviceAttr) 89 return CFT_HostDevice; 90 91 if (HasDeviceAttr) 92 return CFT_Device; 93 94 return CFT_Host; 95 } 96 97 template <typename A> 98 static bool hasAttr(const FunctionDecl *D, bool IgnoreImplicitAttr) { 99 return D->hasAttrs() && llvm::any_of(D->getAttrs(), [&](Attr *Attribute) { 100 return isa<A>(Attribute) && 101 !(IgnoreImplicitAttr && Attribute->isImplicit()); 102 }); 103 } 104 105 /// IdentifyCUDATarget - Determine the CUDA compilation target for this function 106 Sema::CUDAFunctionTarget Sema::IdentifyCUDATarget(const FunctionDecl *D, 107 bool IgnoreImplicitHDAttr) { 108 // Code that lives outside a function is run on the host. 109 if (D == nullptr) 110 return CFT_Host; 111 112 if (D->hasAttr<CUDAInvalidTargetAttr>()) 113 return CFT_InvalidTarget; 114 115 if (D->hasAttr<CUDAGlobalAttr>()) 116 return CFT_Global; 117 118 if (hasAttr<CUDADeviceAttr>(D, IgnoreImplicitHDAttr)) { 119 if (hasAttr<CUDAHostAttr>(D, IgnoreImplicitHDAttr)) 120 return CFT_HostDevice; 121 return CFT_Device; 122 } else if (hasAttr<CUDAHostAttr>(D, IgnoreImplicitHDAttr)) { 123 return CFT_Host; 124 } else if (D->isImplicit() && !IgnoreImplicitHDAttr) { 125 // Some implicit declarations (like intrinsic functions) are not marked. 126 // Set the most lenient target on them for maximal flexibility. 127 return CFT_HostDevice; 128 } 129 130 return CFT_Host; 131 } 132 133 // * CUDA Call preference table 134 // 135 // F - from, 136 // T - to 137 // Ph - preference in host mode 138 // Pd - preference in device mode 139 // H - handled in (x) 140 // Preferences: N:native, SS:same side, HD:host-device, WS:wrong side, --:never. 141 // 142 // | F | T | Ph | Pd | H | 143 // |----+----+-----+-----+-----+ 144 // | d | d | N | N | (c) | 145 // | d | g | -- | -- | (a) | 146 // | d | h | -- | -- | (e) | 147 // | d | hd | HD | HD | (b) | 148 // | g | d | N | N | (c) | 149 // | g | g | -- | -- | (a) | 150 // | g | h | -- | -- | (e) | 151 // | g | hd | HD | HD | (b) | 152 // | h | d | -- | -- | (e) | 153 // | h | g | N | N | (c) | 154 // | h | h | N | N | (c) | 155 // | h | hd | HD | HD | (b) | 156 // | hd | d | WS | SS | (d) | 157 // | hd | g | SS | -- |(d/a)| 158 // | hd | h | SS | WS | (d) | 159 // | hd | hd | HD | HD | (b) | 160 161 Sema::CUDAFunctionPreference 162 Sema::IdentifyCUDAPreference(const FunctionDecl *Caller, 163 const FunctionDecl *Callee) { 164 assert(Callee && "Callee must be valid."); 165 CUDAFunctionTarget CallerTarget = IdentifyCUDATarget(Caller); 166 CUDAFunctionTarget CalleeTarget = IdentifyCUDATarget(Callee); 167 168 // If one of the targets is invalid, the check always fails, no matter what 169 // the other target is. 170 if (CallerTarget == CFT_InvalidTarget || CalleeTarget == CFT_InvalidTarget) 171 return CFP_Never; 172 173 // (a) Can't call global from some contexts until we support CUDA's 174 // dynamic parallelism. 175 if (CalleeTarget == CFT_Global && 176 (CallerTarget == CFT_Global || CallerTarget == CFT_Device)) 177 return CFP_Never; 178 179 // (b) Calling HostDevice is OK for everyone. 180 if (CalleeTarget == CFT_HostDevice) 181 return CFP_HostDevice; 182 183 // (c) Best case scenarios 184 if (CalleeTarget == CallerTarget || 185 (CallerTarget == CFT_Host && CalleeTarget == CFT_Global) || 186 (CallerTarget == CFT_Global && CalleeTarget == CFT_Device)) 187 return CFP_Native; 188 189 // (d) HostDevice behavior depends on compilation mode. 190 if (CallerTarget == CFT_HostDevice) { 191 // It's OK to call a compilation-mode matching function from an HD one. 192 if ((getLangOpts().CUDAIsDevice && CalleeTarget == CFT_Device) || 193 (!getLangOpts().CUDAIsDevice && 194 (CalleeTarget == CFT_Host || CalleeTarget == CFT_Global))) 195 return CFP_SameSide; 196 197 // Calls from HD to non-mode-matching functions (i.e., to host functions 198 // when compiling in device mode or to device functions when compiling in 199 // host mode) are allowed at the sema level, but eventually rejected if 200 // they're ever codegened. TODO: Reject said calls earlier. 201 return CFP_WrongSide; 202 } 203 204 // (e) Calling across device/host boundary is not something you should do. 205 if ((CallerTarget == CFT_Host && CalleeTarget == CFT_Device) || 206 (CallerTarget == CFT_Device && CalleeTarget == CFT_Host) || 207 (CallerTarget == CFT_Global && CalleeTarget == CFT_Host)) 208 return CFP_Never; 209 210 llvm_unreachable("All cases should've been handled by now."); 211 } 212 213 void Sema::EraseUnwantedCUDAMatches( 214 const FunctionDecl *Caller, 215 SmallVectorImpl<std::pair<DeclAccessPair, FunctionDecl *>> &Matches) { 216 if (Matches.size() <= 1) 217 return; 218 219 using Pair = std::pair<DeclAccessPair, FunctionDecl*>; 220 221 // Gets the CUDA function preference for a call from Caller to Match. 222 auto GetCFP = [&](const Pair &Match) { 223 return IdentifyCUDAPreference(Caller, Match.second); 224 }; 225 226 // Find the best call preference among the functions in Matches. 227 CUDAFunctionPreference BestCFP = GetCFP(*std::max_element( 228 Matches.begin(), Matches.end(), 229 [&](const Pair &M1, const Pair &M2) { return GetCFP(M1) < GetCFP(M2); })); 230 231 // Erase all functions with lower priority. 232 llvm::erase_if(Matches, 233 [&](const Pair &Match) { return GetCFP(Match) < BestCFP; }); 234 } 235 236 /// When an implicitly-declared special member has to invoke more than one 237 /// base/field special member, conflicts may occur in the targets of these 238 /// members. For example, if one base's member __host__ and another's is 239 /// __device__, it's a conflict. 240 /// This function figures out if the given targets \param Target1 and 241 /// \param Target2 conflict, and if they do not it fills in 242 /// \param ResolvedTarget with a target that resolves for both calls. 243 /// \return true if there's a conflict, false otherwise. 244 static bool 245 resolveCalleeCUDATargetConflict(Sema::CUDAFunctionTarget Target1, 246 Sema::CUDAFunctionTarget Target2, 247 Sema::CUDAFunctionTarget *ResolvedTarget) { 248 // Only free functions and static member functions may be global. 249 assert(Target1 != Sema::CFT_Global); 250 assert(Target2 != Sema::CFT_Global); 251 252 if (Target1 == Sema::CFT_HostDevice) { 253 *ResolvedTarget = Target2; 254 } else if (Target2 == Sema::CFT_HostDevice) { 255 *ResolvedTarget = Target1; 256 } else if (Target1 != Target2) { 257 return true; 258 } else { 259 *ResolvedTarget = Target1; 260 } 261 262 return false; 263 } 264 265 bool Sema::inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl, 266 CXXSpecialMember CSM, 267 CXXMethodDecl *MemberDecl, 268 bool ConstRHS, 269 bool Diagnose) { 270 llvm::Optional<CUDAFunctionTarget> InferredTarget; 271 272 // We're going to invoke special member lookup; mark that these special 273 // members are called from this one, and not from its caller. 274 ContextRAII MethodContext(*this, MemberDecl); 275 276 // Look for special members in base classes that should be invoked from here. 277 // Infer the target of this member base on the ones it should call. 278 // Skip direct and indirect virtual bases for abstract classes. 279 llvm::SmallVector<const CXXBaseSpecifier *, 16> Bases; 280 for (const auto &B : ClassDecl->bases()) { 281 if (!B.isVirtual()) { 282 Bases.push_back(&B); 283 } 284 } 285 286 if (!ClassDecl->isAbstract()) { 287 for (const auto &VB : ClassDecl->vbases()) { 288 Bases.push_back(&VB); 289 } 290 } 291 292 for (const auto *B : Bases) { 293 const RecordType *BaseType = B->getType()->getAs<RecordType>(); 294 if (!BaseType) { 295 continue; 296 } 297 298 CXXRecordDecl *BaseClassDecl = cast<CXXRecordDecl>(BaseType->getDecl()); 299 Sema::SpecialMemberOverloadResult SMOR = 300 LookupSpecialMember(BaseClassDecl, CSM, 301 /* ConstArg */ ConstRHS, 302 /* VolatileArg */ false, 303 /* RValueThis */ false, 304 /* ConstThis */ false, 305 /* VolatileThis */ false); 306 307 if (!SMOR.getMethod()) 308 continue; 309 310 CUDAFunctionTarget BaseMethodTarget = IdentifyCUDATarget(SMOR.getMethod()); 311 if (!InferredTarget.hasValue()) { 312 InferredTarget = BaseMethodTarget; 313 } else { 314 bool ResolutionError = resolveCalleeCUDATargetConflict( 315 InferredTarget.getValue(), BaseMethodTarget, 316 InferredTarget.getPointer()); 317 if (ResolutionError) { 318 if (Diagnose) { 319 Diag(ClassDecl->getLocation(), 320 diag::note_implicit_member_target_infer_collision) 321 << (unsigned)CSM << InferredTarget.getValue() << BaseMethodTarget; 322 } 323 MemberDecl->addAttr(CUDAInvalidTargetAttr::CreateImplicit(Context)); 324 return true; 325 } 326 } 327 } 328 329 // Same as for bases, but now for special members of fields. 330 for (const auto *F : ClassDecl->fields()) { 331 if (F->isInvalidDecl()) { 332 continue; 333 } 334 335 const RecordType *FieldType = 336 Context.getBaseElementType(F->getType())->getAs<RecordType>(); 337 if (!FieldType) { 338 continue; 339 } 340 341 CXXRecordDecl *FieldRecDecl = cast<CXXRecordDecl>(FieldType->getDecl()); 342 Sema::SpecialMemberOverloadResult SMOR = 343 LookupSpecialMember(FieldRecDecl, CSM, 344 /* ConstArg */ ConstRHS && !F->isMutable(), 345 /* VolatileArg */ false, 346 /* RValueThis */ false, 347 /* ConstThis */ false, 348 /* VolatileThis */ false); 349 350 if (!SMOR.getMethod()) 351 continue; 352 353 CUDAFunctionTarget FieldMethodTarget = 354 IdentifyCUDATarget(SMOR.getMethod()); 355 if (!InferredTarget.hasValue()) { 356 InferredTarget = FieldMethodTarget; 357 } else { 358 bool ResolutionError = resolveCalleeCUDATargetConflict( 359 InferredTarget.getValue(), FieldMethodTarget, 360 InferredTarget.getPointer()); 361 if (ResolutionError) { 362 if (Diagnose) { 363 Diag(ClassDecl->getLocation(), 364 diag::note_implicit_member_target_infer_collision) 365 << (unsigned)CSM << InferredTarget.getValue() 366 << FieldMethodTarget; 367 } 368 MemberDecl->addAttr(CUDAInvalidTargetAttr::CreateImplicit(Context)); 369 return true; 370 } 371 } 372 } 373 374 if (InferredTarget.hasValue()) { 375 if (InferredTarget.getValue() == CFT_Device) { 376 MemberDecl->addAttr(CUDADeviceAttr::CreateImplicit(Context)); 377 } else if (InferredTarget.getValue() == CFT_Host) { 378 MemberDecl->addAttr(CUDAHostAttr::CreateImplicit(Context)); 379 } else { 380 MemberDecl->addAttr(CUDADeviceAttr::CreateImplicit(Context)); 381 MemberDecl->addAttr(CUDAHostAttr::CreateImplicit(Context)); 382 } 383 } else { 384 // If no target was inferred, mark this member as __host__ __device__; 385 // it's the least restrictive option that can be invoked from any target. 386 MemberDecl->addAttr(CUDADeviceAttr::CreateImplicit(Context)); 387 MemberDecl->addAttr(CUDAHostAttr::CreateImplicit(Context)); 388 } 389 390 return false; 391 } 392 393 bool Sema::isEmptyCudaConstructor(SourceLocation Loc, CXXConstructorDecl *CD) { 394 if (!CD->isDefined() && CD->isTemplateInstantiation()) 395 InstantiateFunctionDefinition(Loc, CD->getFirstDecl()); 396 397 // (E.2.3.1, CUDA 7.5) A constructor for a class type is considered 398 // empty at a point in the translation unit, if it is either a 399 // trivial constructor 400 if (CD->isTrivial()) 401 return true; 402 403 // ... or it satisfies all of the following conditions: 404 // The constructor function has been defined. 405 // The constructor function has no parameters, 406 // and the function body is an empty compound statement. 407 if (!(CD->hasTrivialBody() && CD->getNumParams() == 0)) 408 return false; 409 410 // Its class has no virtual functions and no virtual base classes. 411 if (CD->getParent()->isDynamicClass()) 412 return false; 413 414 // The only form of initializer allowed is an empty constructor. 415 // This will recursively check all base classes and member initializers 416 if (!llvm::all_of(CD->inits(), [&](const CXXCtorInitializer *CI) { 417 if (const CXXConstructExpr *CE = 418 dyn_cast<CXXConstructExpr>(CI->getInit())) 419 return isEmptyCudaConstructor(Loc, CE->getConstructor()); 420 return false; 421 })) 422 return false; 423 424 return true; 425 } 426 427 bool Sema::isEmptyCudaDestructor(SourceLocation Loc, CXXDestructorDecl *DD) { 428 // No destructor -> no problem. 429 if (!DD) 430 return true; 431 432 if (!DD->isDefined() && DD->isTemplateInstantiation()) 433 InstantiateFunctionDefinition(Loc, DD->getFirstDecl()); 434 435 // (E.2.3.1, CUDA 7.5) A destructor for a class type is considered 436 // empty at a point in the translation unit, if it is either a 437 // trivial constructor 438 if (DD->isTrivial()) 439 return true; 440 441 // ... or it satisfies all of the following conditions: 442 // The destructor function has been defined. 443 // and the function body is an empty compound statement. 444 if (!DD->hasTrivialBody()) 445 return false; 446 447 const CXXRecordDecl *ClassDecl = DD->getParent(); 448 449 // Its class has no virtual functions and no virtual base classes. 450 if (ClassDecl->isDynamicClass()) 451 return false; 452 453 // Only empty destructors are allowed. This will recursively check 454 // destructors for all base classes... 455 if (!llvm::all_of(ClassDecl->bases(), [&](const CXXBaseSpecifier &BS) { 456 if (CXXRecordDecl *RD = BS.getType()->getAsCXXRecordDecl()) 457 return isEmptyCudaDestructor(Loc, RD->getDestructor()); 458 return true; 459 })) 460 return false; 461 462 // ... and member fields. 463 if (!llvm::all_of(ClassDecl->fields(), [&](const FieldDecl *Field) { 464 if (CXXRecordDecl *RD = Field->getType() 465 ->getBaseElementTypeUnsafe() 466 ->getAsCXXRecordDecl()) 467 return isEmptyCudaDestructor(Loc, RD->getDestructor()); 468 return true; 469 })) 470 return false; 471 472 return true; 473 } 474 475 // With -fcuda-host-device-constexpr, an unattributed constexpr function is 476 // treated as implicitly __host__ __device__, unless: 477 // * it is a variadic function (device-side variadic functions are not 478 // allowed), or 479 // * a __device__ function with this signature was already declared, in which 480 // case in which case we output an error, unless the __device__ decl is in a 481 // system header, in which case we leave the constexpr function unattributed. 482 // 483 // In addition, all function decls are treated as __host__ __device__ when 484 // ForceCUDAHostDeviceDepth > 0 (corresponding to code within a 485 // #pragma clang force_cuda_host_device_begin/end 486 // pair). 487 void Sema::maybeAddCUDAHostDeviceAttrs(FunctionDecl *NewD, 488 const LookupResult &Previous) { 489 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 490 491 if (ForceCUDAHostDeviceDepth > 0) { 492 if (!NewD->hasAttr<CUDAHostAttr>()) 493 NewD->addAttr(CUDAHostAttr::CreateImplicit(Context)); 494 if (!NewD->hasAttr<CUDADeviceAttr>()) 495 NewD->addAttr(CUDADeviceAttr::CreateImplicit(Context)); 496 return; 497 } 498 499 if (!getLangOpts().CUDAHostDeviceConstexpr || !NewD->isConstexpr() || 500 NewD->isVariadic() || NewD->hasAttr<CUDAHostAttr>() || 501 NewD->hasAttr<CUDADeviceAttr>() || NewD->hasAttr<CUDAGlobalAttr>()) 502 return; 503 504 // Is D a __device__ function with the same signature as NewD, ignoring CUDA 505 // attributes? 506 auto IsMatchingDeviceFn = [&](NamedDecl *D) { 507 if (UsingShadowDecl *Using = dyn_cast<UsingShadowDecl>(D)) 508 D = Using->getTargetDecl(); 509 FunctionDecl *OldD = D->getAsFunction(); 510 return OldD && OldD->hasAttr<CUDADeviceAttr>() && 511 !OldD->hasAttr<CUDAHostAttr>() && 512 !IsOverload(NewD, OldD, /* UseMemberUsingDeclRules = */ false, 513 /* ConsiderCudaAttrs = */ false); 514 }; 515 auto It = llvm::find_if(Previous, IsMatchingDeviceFn); 516 if (It != Previous.end()) { 517 // We found a __device__ function with the same name and signature as NewD 518 // (ignoring CUDA attrs). This is an error unless that function is defined 519 // in a system header, in which case we simply return without making NewD 520 // host+device. 521 NamedDecl *Match = *It; 522 if (!getSourceManager().isInSystemHeader(Match->getLocation())) { 523 Diag(NewD->getLocation(), 524 diag::err_cuda_unattributed_constexpr_cannot_overload_device) 525 << NewD; 526 Diag(Match->getLocation(), 527 diag::note_cuda_conflicting_device_function_declared_here); 528 } 529 return; 530 } 531 532 NewD->addAttr(CUDAHostAttr::CreateImplicit(Context)); 533 NewD->addAttr(CUDADeviceAttr::CreateImplicit(Context)); 534 } 535 536 // In CUDA, there are some constructs which may appear in semantically-valid 537 // code, but trigger errors if we ever generate code for the function in which 538 // they appear. Essentially every construct you're not allowed to use on the 539 // device falls into this category, because you are allowed to use these 540 // constructs in a __host__ __device__ function, but only if that function is 541 // never codegen'ed on the device. 542 // 543 // To handle semantic checking for these constructs, we keep track of the set of 544 // functions we know will be emitted, either because we could tell a priori that 545 // they would be emitted, or because they were transitively called by a 546 // known-emitted function. 547 // 548 // We also keep a partial call graph of which not-known-emitted functions call 549 // which other not-known-emitted functions. 550 // 551 // When we see something which is illegal if the current function is emitted 552 // (usually by way of CUDADiagIfDeviceCode, CUDADiagIfHostCode, or 553 // CheckCUDACall), we first check if the current function is known-emitted. If 554 // so, we immediately output the diagnostic. 555 // 556 // Otherwise, we "defer" the diagnostic. It sits in Sema::CUDADeferredDiags 557 // until we discover that the function is known-emitted, at which point we take 558 // it out of this map and emit the diagnostic. 559 560 Sema::CUDADiagBuilder::CUDADiagBuilder(Kind K, SourceLocation Loc, 561 unsigned DiagID, FunctionDecl *Fn, 562 Sema &S) 563 : S(S), Loc(Loc), DiagID(DiagID), Fn(Fn), 564 ShowCallStack(K == K_ImmediateWithCallStack || K == K_Deferred) { 565 switch (K) { 566 case K_Nop: 567 break; 568 case K_Immediate: 569 case K_ImmediateWithCallStack: 570 ImmediateDiag.emplace(S.Diag(Loc, DiagID)); 571 break; 572 case K_Deferred: 573 assert(Fn && "Must have a function to attach the deferred diag to."); 574 PartialDiag.emplace(S.PDiag(DiagID)); 575 break; 576 } 577 } 578 579 // Print notes showing how we can reach FD starting from an a priori 580 // known-callable function. 581 static void EmitCallStackNotes(Sema &S, FunctionDecl *FD) { 582 auto FnIt = S.CUDAKnownEmittedFns.find(FD); 583 while (FnIt != S.CUDAKnownEmittedFns.end()) { 584 DiagnosticBuilder Builder( 585 S.Diags.Report(FnIt->second.Loc, diag::note_called_by)); 586 Builder << FnIt->second.FD; 587 Builder.setForceEmit(); 588 589 FnIt = S.CUDAKnownEmittedFns.find(FnIt->second.FD); 590 } 591 } 592 593 Sema::CUDADiagBuilder::~CUDADiagBuilder() { 594 if (ImmediateDiag) { 595 // Emit our diagnostic and, if it was a warning or error, output a callstack 596 // if Fn isn't a priori known-emitted. 597 bool IsWarningOrError = S.getDiagnostics().getDiagnosticLevel( 598 DiagID, Loc) >= DiagnosticsEngine::Warning; 599 ImmediateDiag.reset(); // Emit the immediate diag. 600 if (IsWarningOrError && ShowCallStack) 601 EmitCallStackNotes(S, Fn); 602 } else if (PartialDiag) { 603 assert(ShowCallStack && "Must always show call stack for deferred diags."); 604 S.CUDADeferredDiags[Fn].push_back({Loc, std::move(*PartialDiag)}); 605 } 606 } 607 608 // Do we know that we will eventually codegen the given function? 609 static bool IsKnownEmitted(Sema &S, FunctionDecl *FD) { 610 // Templates are emitted when they're instantiated. 611 if (FD->isDependentContext()) 612 return false; 613 614 // When compiling for device, host functions are never emitted. Similarly, 615 // when compiling for host, device and global functions are never emitted. 616 // (Technically, we do emit a host-side stub for global functions, but this 617 // doesn't count for our purposes here.) 618 Sema::CUDAFunctionTarget T = S.IdentifyCUDATarget(FD); 619 if (S.getLangOpts().CUDAIsDevice && T == Sema::CFT_Host) 620 return false; 621 if (!S.getLangOpts().CUDAIsDevice && 622 (T == Sema::CFT_Device || T == Sema::CFT_Global)) 623 return false; 624 625 // Check whether this function is externally visible -- if so, it's 626 // known-emitted. 627 // 628 // We have to check the GVA linkage of the function's *definition* -- if we 629 // only have a declaration, we don't know whether or not the function will be 630 // emitted, because (say) the definition could include "inline". 631 FunctionDecl *Def = FD->getDefinition(); 632 633 if (Def && 634 !isDiscardableGVALinkage(S.getASTContext().GetGVALinkageForFunction(Def))) 635 return true; 636 637 // Otherwise, the function is known-emitted if it's in our set of 638 // known-emitted functions. 639 return S.CUDAKnownEmittedFns.count(FD) > 0; 640 } 641 642 Sema::CUDADiagBuilder Sema::CUDADiagIfDeviceCode(SourceLocation Loc, 643 unsigned DiagID) { 644 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 645 CUDADiagBuilder::Kind DiagKind = [&] { 646 switch (CurrentCUDATarget()) { 647 case CFT_Global: 648 case CFT_Device: 649 return CUDADiagBuilder::K_Immediate; 650 case CFT_HostDevice: 651 // An HD function counts as host code if we're compiling for host, and 652 // device code if we're compiling for device. Defer any errors in device 653 // mode until the function is known-emitted. 654 if (getLangOpts().CUDAIsDevice) { 655 return IsKnownEmitted(*this, dyn_cast<FunctionDecl>(CurContext)) 656 ? CUDADiagBuilder::K_ImmediateWithCallStack 657 : CUDADiagBuilder::K_Deferred; 658 } 659 return CUDADiagBuilder::K_Nop; 660 661 default: 662 return CUDADiagBuilder::K_Nop; 663 } 664 }(); 665 return CUDADiagBuilder(DiagKind, Loc, DiagID, 666 dyn_cast<FunctionDecl>(CurContext), *this); 667 } 668 669 Sema::CUDADiagBuilder Sema::CUDADiagIfHostCode(SourceLocation Loc, 670 unsigned DiagID) { 671 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 672 CUDADiagBuilder::Kind DiagKind = [&] { 673 switch (CurrentCUDATarget()) { 674 case CFT_Host: 675 return CUDADiagBuilder::K_Immediate; 676 case CFT_HostDevice: 677 // An HD function counts as host code if we're compiling for host, and 678 // device code if we're compiling for device. Defer any errors in device 679 // mode until the function is known-emitted. 680 if (getLangOpts().CUDAIsDevice) 681 return CUDADiagBuilder::K_Nop; 682 683 return IsKnownEmitted(*this, dyn_cast<FunctionDecl>(CurContext)) 684 ? CUDADiagBuilder::K_ImmediateWithCallStack 685 : CUDADiagBuilder::K_Deferred; 686 default: 687 return CUDADiagBuilder::K_Nop; 688 } 689 }(); 690 return CUDADiagBuilder(DiagKind, Loc, DiagID, 691 dyn_cast<FunctionDecl>(CurContext), *this); 692 } 693 694 // Emit any deferred diagnostics for FD and erase them from the map in which 695 // they're stored. 696 static void EmitDeferredDiags(Sema &S, FunctionDecl *FD) { 697 auto It = S.CUDADeferredDiags.find(FD); 698 if (It == S.CUDADeferredDiags.end()) 699 return; 700 bool HasWarningOrError = false; 701 for (PartialDiagnosticAt &PDAt : It->second) { 702 const SourceLocation &Loc = PDAt.first; 703 const PartialDiagnostic &PD = PDAt.second; 704 HasWarningOrError |= S.getDiagnostics().getDiagnosticLevel( 705 PD.getDiagID(), Loc) >= DiagnosticsEngine::Warning; 706 DiagnosticBuilder Builder(S.Diags.Report(Loc, PD.getDiagID())); 707 Builder.setForceEmit(); 708 PD.Emit(Builder); 709 } 710 S.CUDADeferredDiags.erase(It); 711 712 // FIXME: Should this be called after every warning/error emitted in the loop 713 // above, instead of just once per function? That would be consistent with 714 // how we handle immediate errors, but it also seems like a bit much. 715 if (HasWarningOrError) 716 EmitCallStackNotes(S, FD); 717 } 718 719 // Indicate that this function (and thus everything it transtively calls) will 720 // be codegen'ed, and emit any deferred diagnostics on this function and its 721 // (transitive) callees. 722 static void MarkKnownEmitted(Sema &S, FunctionDecl *OrigCaller, 723 FunctionDecl *OrigCallee, SourceLocation OrigLoc) { 724 // Nothing to do if we already know that FD is emitted. 725 if (IsKnownEmitted(S, OrigCallee)) { 726 assert(!S.CUDACallGraph.count(OrigCallee)); 727 return; 728 } 729 730 // We've just discovered that OrigCallee is known-emitted. Walk our call 731 // graph to see what else we can now discover also must be emitted. 732 733 struct CallInfo { 734 FunctionDecl *Caller; 735 FunctionDecl *Callee; 736 SourceLocation Loc; 737 }; 738 llvm::SmallVector<CallInfo, 4> Worklist = {{OrigCaller, OrigCallee, OrigLoc}}; 739 llvm::SmallSet<CanonicalDeclPtr<FunctionDecl>, 4> Seen; 740 Seen.insert(OrigCallee); 741 while (!Worklist.empty()) { 742 CallInfo C = Worklist.pop_back_val(); 743 assert(!IsKnownEmitted(S, C.Callee) && 744 "Worklist should not contain known-emitted functions."); 745 S.CUDAKnownEmittedFns[C.Callee] = {C.Caller, C.Loc}; 746 EmitDeferredDiags(S, C.Callee); 747 748 // If this is a template instantiation, explore its callgraph as well: 749 // Non-dependent calls are part of the template's callgraph, while dependent 750 // calls are part of to the instantiation's call graph. 751 if (auto *Templ = C.Callee->getPrimaryTemplate()) { 752 FunctionDecl *TemplFD = Templ->getAsFunction(); 753 if (!Seen.count(TemplFD) && !S.CUDAKnownEmittedFns.count(TemplFD)) { 754 Seen.insert(TemplFD); 755 Worklist.push_back( 756 {/* Caller = */ C.Caller, /* Callee = */ TemplFD, C.Loc}); 757 } 758 } 759 760 // Add all functions called by Callee to our worklist. 761 auto CGIt = S.CUDACallGraph.find(C.Callee); 762 if (CGIt == S.CUDACallGraph.end()) 763 continue; 764 765 for (std::pair<CanonicalDeclPtr<FunctionDecl>, SourceLocation> FDLoc : 766 CGIt->second) { 767 FunctionDecl *NewCallee = FDLoc.first; 768 SourceLocation CallLoc = FDLoc.second; 769 if (Seen.count(NewCallee) || IsKnownEmitted(S, NewCallee)) 770 continue; 771 Seen.insert(NewCallee); 772 Worklist.push_back( 773 {/* Caller = */ C.Callee, /* Callee = */ NewCallee, CallLoc}); 774 } 775 776 // C.Callee is now known-emitted, so we no longer need to maintain its list 777 // of callees in CUDACallGraph. 778 S.CUDACallGraph.erase(CGIt); 779 } 780 } 781 782 bool Sema::CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee) { 783 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 784 assert(Callee && "Callee may not be null."); 785 // FIXME: Is bailing out early correct here? Should we instead assume that 786 // the caller is a global initializer? 787 FunctionDecl *Caller = dyn_cast<FunctionDecl>(CurContext); 788 if (!Caller) 789 return true; 790 791 // If the caller is known-emitted, mark the callee as known-emitted. 792 // Otherwise, mark the call in our call graph so we can traverse it later. 793 bool CallerKnownEmitted = IsKnownEmitted(*this, Caller); 794 if (CallerKnownEmitted) { 795 // Host-side references to a __global__ function refer to the stub, so the 796 // function itself is never emitted and therefore should not be marked. 797 if (getLangOpts().CUDAIsDevice || IdentifyCUDATarget(Callee) != CFT_Global) 798 MarkKnownEmitted(*this, Caller, Callee, Loc); 799 } else { 800 // If we have 801 // host fn calls kernel fn calls host+device, 802 // the HD function does not get instantiated on the host. We model this by 803 // omitting at the call to the kernel from the callgraph. This ensures 804 // that, when compiling for host, only HD functions actually called from the 805 // host get marked as known-emitted. 806 if (getLangOpts().CUDAIsDevice || IdentifyCUDATarget(Callee) != CFT_Global) 807 CUDACallGraph[Caller].insert({Callee, Loc}); 808 } 809 810 CUDADiagBuilder::Kind DiagKind = [&] { 811 switch (IdentifyCUDAPreference(Caller, Callee)) { 812 case CFP_Never: 813 return CUDADiagBuilder::K_Immediate; 814 case CFP_WrongSide: 815 assert(Caller && "WrongSide calls require a non-null caller"); 816 // If we know the caller will be emitted, we know this wrong-side call 817 // will be emitted, so it's an immediate error. Otherwise, defer the 818 // error until we know the caller is emitted. 819 return CallerKnownEmitted ? CUDADiagBuilder::K_ImmediateWithCallStack 820 : CUDADiagBuilder::K_Deferred; 821 default: 822 return CUDADiagBuilder::K_Nop; 823 } 824 }(); 825 826 if (DiagKind == CUDADiagBuilder::K_Nop) 827 return true; 828 829 // Avoid emitting this error twice for the same location. Using a hashtable 830 // like this is unfortunate, but because we must continue parsing as normal 831 // after encountering a deferred error, it's otherwise very tricky for us to 832 // ensure that we only emit this deferred error once. 833 if (!LocsWithCUDACallDiags.insert({Caller, Loc}).second) 834 return true; 835 836 CUDADiagBuilder(DiagKind, Loc, diag::err_ref_bad_target, Caller, *this) 837 << IdentifyCUDATarget(Callee) << Callee << IdentifyCUDATarget(Caller); 838 CUDADiagBuilder(DiagKind, Callee->getLocation(), diag::note_previous_decl, 839 Caller, *this) 840 << Callee; 841 return DiagKind != CUDADiagBuilder::K_Immediate && 842 DiagKind != CUDADiagBuilder::K_ImmediateWithCallStack; 843 } 844 845 void Sema::CUDASetLambdaAttrs(CXXMethodDecl *Method) { 846 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 847 if (Method->hasAttr<CUDAHostAttr>() || Method->hasAttr<CUDADeviceAttr>()) 848 return; 849 FunctionDecl *CurFn = dyn_cast<FunctionDecl>(CurContext); 850 if (!CurFn) 851 return; 852 CUDAFunctionTarget Target = IdentifyCUDATarget(CurFn); 853 if (Target == CFT_Global || Target == CFT_Device) { 854 Method->addAttr(CUDADeviceAttr::CreateImplicit(Context)); 855 } else if (Target == CFT_HostDevice) { 856 Method->addAttr(CUDADeviceAttr::CreateImplicit(Context)); 857 Method->addAttr(CUDAHostAttr::CreateImplicit(Context)); 858 } 859 } 860 861 void Sema::checkCUDATargetOverload(FunctionDecl *NewFD, 862 const LookupResult &Previous) { 863 assert(getLangOpts().CUDA && "Should only be called during CUDA compilation"); 864 CUDAFunctionTarget NewTarget = IdentifyCUDATarget(NewFD); 865 for (NamedDecl *OldND : Previous) { 866 FunctionDecl *OldFD = OldND->getAsFunction(); 867 if (!OldFD) 868 continue; 869 870 CUDAFunctionTarget OldTarget = IdentifyCUDATarget(OldFD); 871 // Don't allow HD and global functions to overload other functions with the 872 // same signature. We allow overloading based on CUDA attributes so that 873 // functions can have different implementations on the host and device, but 874 // HD/global functions "exist" in some sense on both the host and device, so 875 // should have the same implementation on both sides. 876 if (NewTarget != OldTarget && 877 ((NewTarget == CFT_HostDevice) || (OldTarget == CFT_HostDevice) || 878 (NewTarget == CFT_Global) || (OldTarget == CFT_Global)) && 879 !IsOverload(NewFD, OldFD, /* UseMemberUsingDeclRules = */ false, 880 /* ConsiderCudaAttrs = */ false)) { 881 Diag(NewFD->getLocation(), diag::err_cuda_ovl_target) 882 << NewTarget << NewFD->getDeclName() << OldTarget << OldFD; 883 Diag(OldFD->getLocation(), diag::note_previous_declaration); 884 NewFD->setInvalidDecl(); 885 break; 886 } 887 } 888 } 889 890 template <typename AttrTy> 891 static void copyAttrIfPresent(Sema &S, FunctionDecl *FD, 892 const FunctionDecl &TemplateFD) { 893 if (AttrTy *Attribute = TemplateFD.getAttr<AttrTy>()) { 894 AttrTy *Clone = Attribute->clone(S.Context); 895 Clone->setInherited(true); 896 FD->addAttr(Clone); 897 } 898 } 899 900 void Sema::inheritCUDATargetAttrs(FunctionDecl *FD, 901 const FunctionTemplateDecl &TD) { 902 const FunctionDecl &TemplateFD = *TD.getTemplatedDecl(); 903 copyAttrIfPresent<CUDAGlobalAttr>(*this, FD, TemplateFD); 904 copyAttrIfPresent<CUDAHostAttr>(*this, FD, TemplateFD); 905 copyAttrIfPresent<CUDADeviceAttr>(*this, FD, TemplateFD); 906 } 907