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