forked from OSchip/llvm-project
577 lines
22 KiB
C++
577 lines
22 KiB
C++
//===--- SemaCUDA.cpp - Semantic Analysis for CUDA constructs -------------===//
|
|
//
|
|
// The LLVM Compiler Infrastructure
|
|
//
|
|
// This file is distributed under the University of Illinois Open Source
|
|
// License. See LICENSE.TXT for details.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
/// \file
|
|
/// \brief This file implements semantic analysis for CUDA constructs.
|
|
///
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "clang/AST/ASTContext.h"
|
|
#include "clang/AST/Decl.h"
|
|
#include "clang/AST/ExprCXX.h"
|
|
#include "clang/Lex/Preprocessor.h"
|
|
#include "clang/Sema/Lookup.h"
|
|
#include "clang/Sema/Sema.h"
|
|
#include "clang/Sema/SemaDiagnostic.h"
|
|
#include "clang/Sema/Template.h"
|
|
#include "llvm/ADT/Optional.h"
|
|
#include "llvm/ADT/SmallVector.h"
|
|
using namespace clang;
|
|
|
|
ExprResult Sema::ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc,
|
|
MultiExprArg ExecConfig,
|
|
SourceLocation GGGLoc) {
|
|
FunctionDecl *ConfigDecl = Context.getcudaConfigureCallDecl();
|
|
if (!ConfigDecl)
|
|
return ExprError(Diag(LLLLoc, diag::err_undeclared_var_use)
|
|
<< "cudaConfigureCall");
|
|
QualType ConfigQTy = ConfigDecl->getType();
|
|
|
|
DeclRefExpr *ConfigDR = new (Context)
|
|
DeclRefExpr(ConfigDecl, false, ConfigQTy, VK_LValue, LLLLoc);
|
|
MarkFunctionReferenced(LLLLoc, ConfigDecl);
|
|
|
|
return ActOnCallExpr(S, ConfigDR, LLLLoc, ExecConfig, GGGLoc, nullptr,
|
|
/*IsExecConfig=*/true);
|
|
}
|
|
|
|
/// IdentifyCUDATarget - Determine the CUDA compilation target for this function
|
|
Sema::CUDAFunctionTarget Sema::IdentifyCUDATarget(const FunctionDecl *D) {
|
|
if (D->hasAttr<CUDAInvalidTargetAttr>())
|
|
return CFT_InvalidTarget;
|
|
|
|
if (D->hasAttr<CUDAGlobalAttr>())
|
|
return CFT_Global;
|
|
|
|
if (D->hasAttr<CUDADeviceAttr>()) {
|
|
if (D->hasAttr<CUDAHostAttr>())
|
|
return CFT_HostDevice;
|
|
return CFT_Device;
|
|
} else if (D->hasAttr<CUDAHostAttr>()) {
|
|
return CFT_Host;
|
|
} else if (D->isImplicit()) {
|
|
// Some implicit declarations (like intrinsic functions) are not marked.
|
|
// Set the most lenient target on them for maximal flexibility.
|
|
return CFT_HostDevice;
|
|
}
|
|
|
|
return CFT_Host;
|
|
}
|
|
|
|
// * CUDA Call preference table
|
|
//
|
|
// F - from,
|
|
// T - to
|
|
// Ph - preference in host mode
|
|
// Pd - preference in device mode
|
|
// H - handled in (x)
|
|
// Preferences: N:native, SS:same side, HD:host-device, WS:wrong side, --:never.
|
|
//
|
|
// | F | T | Ph | Pd | H |
|
|
// |----+----+-----+-----+-----+
|
|
// | d | d | N | N | (c) |
|
|
// | d | g | -- | -- | (a) |
|
|
// | d | h | -- | -- | (e) |
|
|
// | d | hd | HD | HD | (b) |
|
|
// | g | d | N | N | (c) |
|
|
// | g | g | -- | -- | (a) |
|
|
// | g | h | -- | -- | (e) |
|
|
// | g | hd | HD | HD | (b) |
|
|
// | h | d | -- | -- | (e) |
|
|
// | h | g | N | N | (c) |
|
|
// | h | h | N | N | (c) |
|
|
// | h | hd | HD | HD | (b) |
|
|
// | hd | d | WS | SS | (d) |
|
|
// | hd | g | SS | -- |(d/a)|
|
|
// | hd | h | SS | WS | (d) |
|
|
// | hd | hd | HD | HD | (b) |
|
|
|
|
Sema::CUDAFunctionPreference
|
|
Sema::IdentifyCUDAPreference(const FunctionDecl *Caller,
|
|
const FunctionDecl *Callee) {
|
|
assert(Callee && "Callee must be valid.");
|
|
CUDAFunctionTarget CalleeTarget = IdentifyCUDATarget(Callee);
|
|
CUDAFunctionTarget CallerTarget =
|
|
(Caller != nullptr) ? IdentifyCUDATarget(Caller) : Sema::CFT_Host;
|
|
|
|
// If one of the targets is invalid, the check always fails, no matter what
|
|
// the other target is.
|
|
if (CallerTarget == CFT_InvalidTarget || CalleeTarget == CFT_InvalidTarget)
|
|
return CFP_Never;
|
|
|
|
// (a) Can't call global from some contexts until we support CUDA's
|
|
// dynamic parallelism.
|
|
if (CalleeTarget == CFT_Global &&
|
|
(CallerTarget == CFT_Global || CallerTarget == CFT_Device ||
|
|
(CallerTarget == CFT_HostDevice && getLangOpts().CUDAIsDevice)))
|
|
return CFP_Never;
|
|
|
|
// (b) Calling HostDevice is OK for everyone.
|
|
if (CalleeTarget == CFT_HostDevice)
|
|
return CFP_HostDevice;
|
|
|
|
// (c) Best case scenarios
|
|
if (CalleeTarget == CallerTarget ||
|
|
(CallerTarget == CFT_Host && CalleeTarget == CFT_Global) ||
|
|
(CallerTarget == CFT_Global && CalleeTarget == CFT_Device))
|
|
return CFP_Native;
|
|
|
|
// (d) HostDevice behavior depends on compilation mode.
|
|
if (CallerTarget == CFT_HostDevice) {
|
|
// It's OK to call a compilation-mode matching function from an HD one.
|
|
if ((getLangOpts().CUDAIsDevice && CalleeTarget == CFT_Device) ||
|
|
(!getLangOpts().CUDAIsDevice &&
|
|
(CalleeTarget == CFT_Host || CalleeTarget == CFT_Global)))
|
|
return CFP_SameSide;
|
|
|
|
// Calls from HD to non-mode-matching functions (i.e., to host functions
|
|
// when compiling in device mode or to device functions when compiling in
|
|
// host mode) are allowed at the sema level, but eventually rejected if
|
|
// they're ever codegened. TODO: Reject said calls earlier.
|
|
return CFP_WrongSide;
|
|
}
|
|
|
|
// (e) Calling across device/host boundary is not something you should do.
|
|
if ((CallerTarget == CFT_Host && CalleeTarget == CFT_Device) ||
|
|
(CallerTarget == CFT_Device && CalleeTarget == CFT_Host) ||
|
|
(CallerTarget == CFT_Global && CalleeTarget == CFT_Host))
|
|
return CFP_Never;
|
|
|
|
llvm_unreachable("All cases should've been handled by now.");
|
|
}
|
|
|
|
template <typename T>
|
|
static void EraseUnwantedCUDAMatchesImpl(
|
|
Sema &S, const FunctionDecl *Caller, llvm::SmallVectorImpl<T> &Matches,
|
|
std::function<const FunctionDecl *(const T &)> FetchDecl) {
|
|
if (Matches.size() <= 1)
|
|
return;
|
|
|
|
// Gets the CUDA function preference for a call from Caller to Match.
|
|
auto GetCFP = [&](const T &Match) {
|
|
return S.IdentifyCUDAPreference(Caller, FetchDecl(Match));
|
|
};
|
|
|
|
// Find the best call preference among the functions in Matches.
|
|
Sema::CUDAFunctionPreference BestCFP = GetCFP(*std::max_element(
|
|
Matches.begin(), Matches.end(),
|
|
[&](const T &M1, const T &M2) { return GetCFP(M1) < GetCFP(M2); }));
|
|
|
|
// Erase all functions with lower priority.
|
|
Matches.erase(
|
|
llvm::remove_if(Matches,
|
|
[&](const T &Match) { return GetCFP(Match) < BestCFP; }),
|
|
Matches.end());
|
|
}
|
|
|
|
void Sema::EraseUnwantedCUDAMatches(const FunctionDecl *Caller,
|
|
SmallVectorImpl<FunctionDecl *> &Matches){
|
|
EraseUnwantedCUDAMatchesImpl<FunctionDecl *>(
|
|
*this, Caller, Matches, [](const FunctionDecl *item) { return item; });
|
|
}
|
|
|
|
void Sema::EraseUnwantedCUDAMatches(const FunctionDecl *Caller,
|
|
SmallVectorImpl<DeclAccessPair> &Matches) {
|
|
EraseUnwantedCUDAMatchesImpl<DeclAccessPair>(
|
|
*this, Caller, Matches, [](const DeclAccessPair &item) {
|
|
return dyn_cast<FunctionDecl>(item.getDecl());
|
|
});
|
|
}
|
|
|
|
void Sema::EraseUnwantedCUDAMatches(
|
|
const FunctionDecl *Caller,
|
|
SmallVectorImpl<std::pair<DeclAccessPair, FunctionDecl *>> &Matches){
|
|
EraseUnwantedCUDAMatchesImpl<std::pair<DeclAccessPair, FunctionDecl *>>(
|
|
*this, Caller, Matches,
|
|
[](const std::pair<DeclAccessPair, FunctionDecl *> &item) {
|
|
return dyn_cast<FunctionDecl>(item.second);
|
|
});
|
|
}
|
|
|
|
/// When an implicitly-declared special member has to invoke more than one
|
|
/// base/field special member, conflicts may occur in the targets of these
|
|
/// members. For example, if one base's member __host__ and another's is
|
|
/// __device__, it's a conflict.
|
|
/// This function figures out if the given targets \param Target1 and
|
|
/// \param Target2 conflict, and if they do not it fills in
|
|
/// \param ResolvedTarget with a target that resolves for both calls.
|
|
/// \return true if there's a conflict, false otherwise.
|
|
static bool
|
|
resolveCalleeCUDATargetConflict(Sema::CUDAFunctionTarget Target1,
|
|
Sema::CUDAFunctionTarget Target2,
|
|
Sema::CUDAFunctionTarget *ResolvedTarget) {
|
|
// Only free functions and static member functions may be global.
|
|
assert(Target1 != Sema::CFT_Global);
|
|
assert(Target2 != Sema::CFT_Global);
|
|
|
|
if (Target1 == Sema::CFT_HostDevice) {
|
|
*ResolvedTarget = Target2;
|
|
} else if (Target2 == Sema::CFT_HostDevice) {
|
|
*ResolvedTarget = Target1;
|
|
} else if (Target1 != Target2) {
|
|
return true;
|
|
} else {
|
|
*ResolvedTarget = Target1;
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
bool Sema::inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl,
|
|
CXXSpecialMember CSM,
|
|
CXXMethodDecl *MemberDecl,
|
|
bool ConstRHS,
|
|
bool Diagnose) {
|
|
llvm::Optional<CUDAFunctionTarget> InferredTarget;
|
|
|
|
// We're going to invoke special member lookup; mark that these special
|
|
// members are called from this one, and not from its caller.
|
|
ContextRAII MethodContext(*this, MemberDecl);
|
|
|
|
// Look for special members in base classes that should be invoked from here.
|
|
// Infer the target of this member base on the ones it should call.
|
|
// Skip direct and indirect virtual bases for abstract classes.
|
|
llvm::SmallVector<const CXXBaseSpecifier *, 16> Bases;
|
|
for (const auto &B : ClassDecl->bases()) {
|
|
if (!B.isVirtual()) {
|
|
Bases.push_back(&B);
|
|
}
|
|
}
|
|
|
|
if (!ClassDecl->isAbstract()) {
|
|
for (const auto &VB : ClassDecl->vbases()) {
|
|
Bases.push_back(&VB);
|
|
}
|
|
}
|
|
|
|
for (const auto *B : Bases) {
|
|
const RecordType *BaseType = B->getType()->getAs<RecordType>();
|
|
if (!BaseType) {
|
|
continue;
|
|
}
|
|
|
|
CXXRecordDecl *BaseClassDecl = cast<CXXRecordDecl>(BaseType->getDecl());
|
|
Sema::SpecialMemberOverloadResult *SMOR =
|
|
LookupSpecialMember(BaseClassDecl, CSM,
|
|
/* ConstArg */ ConstRHS,
|
|
/* VolatileArg */ false,
|
|
/* RValueThis */ false,
|
|
/* ConstThis */ false,
|
|
/* VolatileThis */ false);
|
|
|
|
if (!SMOR || !SMOR->getMethod()) {
|
|
continue;
|
|
}
|
|
|
|
CUDAFunctionTarget BaseMethodTarget = IdentifyCUDATarget(SMOR->getMethod());
|
|
if (!InferredTarget.hasValue()) {
|
|
InferredTarget = BaseMethodTarget;
|
|
} else {
|
|
bool ResolutionError = resolveCalleeCUDATargetConflict(
|
|
InferredTarget.getValue(), BaseMethodTarget,
|
|
InferredTarget.getPointer());
|
|
if (ResolutionError) {
|
|
if (Diagnose) {
|
|
Diag(ClassDecl->getLocation(),
|
|
diag::note_implicit_member_target_infer_collision)
|
|
<< (unsigned)CSM << InferredTarget.getValue() << BaseMethodTarget;
|
|
}
|
|
MemberDecl->addAttr(CUDAInvalidTargetAttr::CreateImplicit(Context));
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Same as for bases, but now for special members of fields.
|
|
for (const auto *F : ClassDecl->fields()) {
|
|
if (F->isInvalidDecl()) {
|
|
continue;
|
|
}
|
|
|
|
const RecordType *FieldType =
|
|
Context.getBaseElementType(F->getType())->getAs<RecordType>();
|
|
if (!FieldType) {
|
|
continue;
|
|
}
|
|
|
|
CXXRecordDecl *FieldRecDecl = cast<CXXRecordDecl>(FieldType->getDecl());
|
|
Sema::SpecialMemberOverloadResult *SMOR =
|
|
LookupSpecialMember(FieldRecDecl, CSM,
|
|
/* ConstArg */ ConstRHS && !F->isMutable(),
|
|
/* VolatileArg */ false,
|
|
/* RValueThis */ false,
|
|
/* ConstThis */ false,
|
|
/* VolatileThis */ false);
|
|
|
|
if (!SMOR || !SMOR->getMethod()) {
|
|
continue;
|
|
}
|
|
|
|
CUDAFunctionTarget FieldMethodTarget =
|
|
IdentifyCUDATarget(SMOR->getMethod());
|
|
if (!InferredTarget.hasValue()) {
|
|
InferredTarget = FieldMethodTarget;
|
|
} else {
|
|
bool ResolutionError = resolveCalleeCUDATargetConflict(
|
|
InferredTarget.getValue(), FieldMethodTarget,
|
|
InferredTarget.getPointer());
|
|
if (ResolutionError) {
|
|
if (Diagnose) {
|
|
Diag(ClassDecl->getLocation(),
|
|
diag::note_implicit_member_target_infer_collision)
|
|
<< (unsigned)CSM << InferredTarget.getValue()
|
|
<< FieldMethodTarget;
|
|
}
|
|
MemberDecl->addAttr(CUDAInvalidTargetAttr::CreateImplicit(Context));
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (InferredTarget.hasValue()) {
|
|
if (InferredTarget.getValue() == CFT_Device) {
|
|
MemberDecl->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
} else if (InferredTarget.getValue() == CFT_Host) {
|
|
MemberDecl->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
} else {
|
|
MemberDecl->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
MemberDecl->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
}
|
|
} else {
|
|
// If no target was inferred, mark this member as __host__ __device__;
|
|
// it's the least restrictive option that can be invoked from any target.
|
|
MemberDecl->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
MemberDecl->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
bool Sema::isEmptyCudaConstructor(SourceLocation Loc, CXXConstructorDecl *CD) {
|
|
if (!CD->isDefined() && CD->isTemplateInstantiation())
|
|
InstantiateFunctionDefinition(Loc, CD->getFirstDecl());
|
|
|
|
// (E.2.3.1, CUDA 7.5) A constructor for a class type is considered
|
|
// empty at a point in the translation unit, if it is either a
|
|
// trivial constructor
|
|
if (CD->isTrivial())
|
|
return true;
|
|
|
|
// ... or it satisfies all of the following conditions:
|
|
// The constructor function has been defined.
|
|
// The constructor function has no parameters,
|
|
// and the function body is an empty compound statement.
|
|
if (!(CD->hasTrivialBody() && CD->getNumParams() == 0))
|
|
return false;
|
|
|
|
// Its class has no virtual functions and no virtual base classes.
|
|
if (CD->getParent()->isDynamicClass())
|
|
return false;
|
|
|
|
// The only form of initializer allowed is an empty constructor.
|
|
// This will recursively check all base classes and member initializers
|
|
if (!llvm::all_of(CD->inits(), [&](const CXXCtorInitializer *CI) {
|
|
if (const CXXConstructExpr *CE =
|
|
dyn_cast<CXXConstructExpr>(CI->getInit()))
|
|
return isEmptyCudaConstructor(Loc, CE->getConstructor());
|
|
return false;
|
|
}))
|
|
return false;
|
|
|
|
return true;
|
|
}
|
|
|
|
bool Sema::isEmptyCudaDestructor(SourceLocation Loc, CXXDestructorDecl *DD) {
|
|
// No destructor -> no problem.
|
|
if (!DD)
|
|
return true;
|
|
|
|
if (!DD->isDefined() && DD->isTemplateInstantiation())
|
|
InstantiateFunctionDefinition(Loc, DD->getFirstDecl());
|
|
|
|
// (E.2.3.1, CUDA 7.5) A destructor for a class type is considered
|
|
// empty at a point in the translation unit, if it is either a
|
|
// trivial constructor
|
|
if (DD->isTrivial())
|
|
return true;
|
|
|
|
// ... or it satisfies all of the following conditions:
|
|
// The destructor function has been defined.
|
|
// and the function body is an empty compound statement.
|
|
if (!DD->hasTrivialBody())
|
|
return false;
|
|
|
|
const CXXRecordDecl *ClassDecl = DD->getParent();
|
|
|
|
// Its class has no virtual functions and no virtual base classes.
|
|
if (ClassDecl->isDynamicClass())
|
|
return false;
|
|
|
|
// Only empty destructors are allowed. This will recursively check
|
|
// destructors for all base classes...
|
|
if (!llvm::all_of(ClassDecl->bases(), [&](const CXXBaseSpecifier &BS) {
|
|
if (CXXRecordDecl *RD = BS.getType()->getAsCXXRecordDecl())
|
|
return isEmptyCudaDestructor(Loc, RD->getDestructor());
|
|
return true;
|
|
}))
|
|
return false;
|
|
|
|
// ... and member fields.
|
|
if (!llvm::all_of(ClassDecl->fields(), [&](const FieldDecl *Field) {
|
|
if (CXXRecordDecl *RD = Field->getType()
|
|
->getBaseElementTypeUnsafe()
|
|
->getAsCXXRecordDecl())
|
|
return isEmptyCudaDestructor(Loc, RD->getDestructor());
|
|
return true;
|
|
}))
|
|
return false;
|
|
|
|
return true;
|
|
}
|
|
|
|
// With -fcuda-host-device-constexpr, an unattributed constexpr function is
|
|
// treated as implicitly __host__ __device__, unless:
|
|
// * it is a variadic function (device-side variadic functions are not
|
|
// allowed), or
|
|
// * a __device__ function with this signature was already declared, in which
|
|
// case in which case we output an error, unless the __device__ decl is in a
|
|
// system header, in which case we leave the constexpr function unattributed.
|
|
void Sema::maybeAddCUDAHostDeviceAttrs(Scope *S, FunctionDecl *NewD,
|
|
const LookupResult &Previous) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
if (!getLangOpts().CUDAHostDeviceConstexpr || !NewD->isConstexpr() ||
|
|
NewD->isVariadic() || NewD->hasAttr<CUDAHostAttr>() ||
|
|
NewD->hasAttr<CUDADeviceAttr>() || NewD->hasAttr<CUDAGlobalAttr>())
|
|
return;
|
|
|
|
// Is D a __device__ function with the same signature as NewD, ignoring CUDA
|
|
// attributes?
|
|
auto IsMatchingDeviceFn = [&](NamedDecl *D) {
|
|
if (UsingShadowDecl *Using = dyn_cast<UsingShadowDecl>(D))
|
|
D = Using->getTargetDecl();
|
|
FunctionDecl *OldD = D->getAsFunction();
|
|
return OldD && OldD->hasAttr<CUDADeviceAttr>() &&
|
|
!OldD->hasAttr<CUDAHostAttr>() &&
|
|
!IsOverload(NewD, OldD, /* UseMemberUsingDeclRules = */ false,
|
|
/* ConsiderCudaAttrs = */ false);
|
|
};
|
|
auto It = llvm::find_if(Previous, IsMatchingDeviceFn);
|
|
if (It != Previous.end()) {
|
|
// We found a __device__ function with the same name and signature as NewD
|
|
// (ignoring CUDA attrs). This is an error unless that function is defined
|
|
// in a system header, in which case we simply return without making NewD
|
|
// host+device.
|
|
NamedDecl *Match = *It;
|
|
if (!getSourceManager().isInSystemHeader(Match->getLocation())) {
|
|
Diag(NewD->getLocation(),
|
|
diag::err_cuda_unattributed_constexpr_cannot_overload_device)
|
|
<< NewD->getName();
|
|
Diag(Match->getLocation(),
|
|
diag::note_cuda_conflicting_device_function_declared_here);
|
|
}
|
|
return;
|
|
}
|
|
|
|
NewD->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
NewD->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
}
|
|
|
|
bool Sema::CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
assert(Callee && "Callee may not be null.");
|
|
FunctionDecl *Caller = dyn_cast<FunctionDecl>(CurContext);
|
|
if (!Caller)
|
|
return true;
|
|
|
|
Sema::CUDAFunctionPreference Pref = IdentifyCUDAPreference(Caller, Callee);
|
|
if (Pref == Sema::CFP_Never) {
|
|
Diag(Loc, diag::err_ref_bad_target) << IdentifyCUDATarget(Callee) << Callee
|
|
<< IdentifyCUDATarget(Caller);
|
|
Diag(Callee->getLocation(), diag::note_previous_decl) << Callee;
|
|
return false;
|
|
}
|
|
if (Pref == Sema::CFP_WrongSide) {
|
|
// We have to do this odd dance to create our PartialDiagnostic because we
|
|
// want its storage to be allocated with operator new, not in an arena.
|
|
PartialDiagnostic ErrPD{PartialDiagnostic::NullDiagnostic()};
|
|
ErrPD.Reset(diag::err_ref_bad_target);
|
|
ErrPD << IdentifyCUDATarget(Callee) << Callee << IdentifyCUDATarget(Caller);
|
|
Caller->addDeferredDiag({Loc, std::move(ErrPD)});
|
|
|
|
PartialDiagnostic NotePD{PartialDiagnostic::NullDiagnostic()};
|
|
NotePD.Reset(diag::note_previous_decl);
|
|
NotePD << Callee;
|
|
Caller->addDeferredDiag({Callee->getLocation(), std::move(NotePD)});
|
|
|
|
// This is not immediately an error, so return true. The deferred errors
|
|
// will be emitted if and when Caller is codegen'ed.
|
|
return true;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
bool Sema::CheckCUDAExceptionExpr(SourceLocation Loc, StringRef ExprTy) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
FunctionDecl *CurFn = dyn_cast<FunctionDecl>(CurContext);
|
|
if (!CurFn)
|
|
return true;
|
|
CUDAFunctionTarget Target = IdentifyCUDATarget(CurFn);
|
|
|
|
// Raise an error immediately if this is a __global__ or __device__ function.
|
|
// If it's a __host__ __device__ function, enqueue a deferred error which will
|
|
// be emitted if the function is codegen'ed for device.
|
|
if (Target == CFT_Global || Target == CFT_Device) {
|
|
Diag(Loc, diag::err_cuda_device_exceptions) << ExprTy << Target << CurFn;
|
|
return false;
|
|
}
|
|
if (Target == CFT_HostDevice && getLangOpts().CUDAIsDevice) {
|
|
PartialDiagnostic ErrPD{PartialDiagnostic::NullDiagnostic()};
|
|
ErrPD.Reset(diag::err_cuda_device_exceptions);
|
|
ErrPD << ExprTy << Target << CurFn;
|
|
CurFn->addDeferredDiag({Loc, std::move(ErrPD)});
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
bool Sema::CheckCUDAVLA(SourceLocation Loc) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
FunctionDecl *CurFn = dyn_cast<FunctionDecl>(CurContext);
|
|
if (!CurFn)
|
|
return true;
|
|
CUDAFunctionTarget Target = IdentifyCUDATarget(CurFn);
|
|
if (Target == CFT_Global || Target == CFT_Device) {
|
|
Diag(Loc, diag::err_cuda_vla) << Target;
|
|
return false;
|
|
}
|
|
if (Target == CFT_HostDevice && getLangOpts().CUDAIsDevice) {
|
|
PartialDiagnostic ErrPD{PartialDiagnostic::NullDiagnostic()};
|
|
ErrPD.Reset(diag::err_cuda_vla);
|
|
ErrPD << Target;
|
|
CurFn->addDeferredDiag({Loc, std::move(ErrPD)});
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
void Sema::CUDASetLambdaAttrs(CXXMethodDecl *Method) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
if (Method->hasAttr<CUDAHostAttr>() || Method->hasAttr<CUDADeviceAttr>())
|
|
return;
|
|
FunctionDecl *CurFn = dyn_cast<FunctionDecl>(CurContext);
|
|
if (!CurFn)
|
|
return;
|
|
CUDAFunctionTarget Target = IdentifyCUDATarget(CurFn);
|
|
if (Target == CFT_Global || Target == CFT_Device) {
|
|
Method->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
} else if (Target == CFT_HostDevice) {
|
|
Method->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
Method->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
}
|
|
}
|