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