forked from OSchip/llvm-project
955 lines
36 KiB
C++
955 lines
36 KiB
C++
//===--- SemaCUDA.cpp - Semantic Analysis for CUDA constructs -------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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/// \file
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/// 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/Basic/Cuda.h"
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#include "clang/Basic/TargetInfo.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/ScopeInfo.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/SemaInternal.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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template <typename AttrT> static bool hasExplicitAttr(const VarDecl *D) {
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if (!D)
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return false;
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if (auto *A = D->getAttr<AttrT>())
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return !A->isImplicit();
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return false;
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}
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void Sema::PushForceCUDAHostDevice() {
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assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
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ForceCUDAHostDeviceDepth++;
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}
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bool Sema::PopForceCUDAHostDevice() {
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assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
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if (ForceCUDAHostDeviceDepth == 0)
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return false;
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ForceCUDAHostDeviceDepth--;
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return true;
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}
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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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<< getCudaConfigureFuncName());
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QualType ConfigQTy = ConfigDecl->getType();
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DeclRefExpr *ConfigDR = new (Context)
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DeclRefExpr(Context, ConfigDecl, false, ConfigQTy, VK_LValue, LLLLoc);
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MarkFunctionReferenced(LLLLoc, ConfigDecl);
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return BuildCallExpr(S, ConfigDR, LLLLoc, ExecConfig, GGGLoc, nullptr,
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/*IsExecConfig=*/true);
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}
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Sema::CUDAFunctionTarget
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Sema::IdentifyCUDATarget(const ParsedAttributesView &Attrs) {
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bool HasHostAttr = false;
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bool HasDeviceAttr = false;
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bool HasGlobalAttr = false;
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bool HasInvalidTargetAttr = false;
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for (const ParsedAttr &AL : Attrs) {
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switch (AL.getKind()) {
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case ParsedAttr::AT_CUDAGlobal:
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HasGlobalAttr = true;
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break;
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case ParsedAttr::AT_CUDAHost:
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HasHostAttr = true;
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break;
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case ParsedAttr::AT_CUDADevice:
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HasDeviceAttr = true;
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break;
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case ParsedAttr::AT_CUDAInvalidTarget:
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HasInvalidTargetAttr = true;
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break;
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default:
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break;
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}
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}
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if (HasInvalidTargetAttr)
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return CFT_InvalidTarget;
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if (HasGlobalAttr)
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return CFT_Global;
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if (HasHostAttr && HasDeviceAttr)
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return CFT_HostDevice;
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if (HasDeviceAttr)
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return CFT_Device;
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return CFT_Host;
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}
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template <typename A>
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static bool hasAttr(const FunctionDecl *D, bool IgnoreImplicitAttr) {
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return D->hasAttrs() && llvm::any_of(D->getAttrs(), [&](Attr *Attribute) {
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return isa<A>(Attribute) &&
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!(IgnoreImplicitAttr && Attribute->isImplicit());
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});
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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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bool IgnoreImplicitHDAttr) {
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// Code that lives outside a function is run on the host.
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if (D == nullptr)
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return CFT_Host;
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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 (hasAttr<CUDADeviceAttr>(D, IgnoreImplicitHDAttr)) {
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if (hasAttr<CUDAHostAttr>(D, IgnoreImplicitHDAttr))
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return CFT_HostDevice;
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return CFT_Device;
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} else if (hasAttr<CUDAHostAttr>(D, IgnoreImplicitHDAttr)) {
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return CFT_Host;
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} else if ((D->isImplicit() || !D->isUserProvided()) &&
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!IgnoreImplicitHDAttr) {
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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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/// IdentifyTarget - Determine the CUDA compilation target for this variable.
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Sema::CUDAVariableTarget Sema::IdentifyCUDATarget(const VarDecl *Var) {
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if (Var->hasAttr<HIPManagedAttr>())
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return CVT_Unified;
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if (Var->isConstexpr() && !hasExplicitAttr<CUDAConstantAttr>(Var))
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return CVT_Both;
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if (Var->getType().isConstQualified() && Var->hasAttr<CUDAConstantAttr>() &&
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!hasExplicitAttr<CUDAConstantAttr>(Var))
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return CVT_Both;
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if (Var->hasAttr<CUDADeviceAttr>() || Var->hasAttr<CUDAConstantAttr>() ||
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Var->hasAttr<CUDASharedAttr>() ||
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Var->getType()->isCUDADeviceBuiltinSurfaceType() ||
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Var->getType()->isCUDADeviceBuiltinTextureType())
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return CVT_Device;
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// Function-scope static variable without explicit device or constant
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// attribute are emitted
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// - on both sides in host device functions
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// - on device side in device or global functions
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if (auto *FD = dyn_cast<FunctionDecl>(Var->getDeclContext())) {
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switch (IdentifyCUDATarget(FD)) {
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case CFT_HostDevice:
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return CVT_Both;
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case CFT_Device:
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case CFT_Global:
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return CVT_Device;
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default:
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return CVT_Host;
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}
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}
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return CVT_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 CallerTarget = IdentifyCUDATarget(Caller);
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CUDAFunctionTarget CalleeTarget = IdentifyCUDATarget(Callee);
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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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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 AttrT> static bool hasImplicitAttr(const FunctionDecl *D) {
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if (!D)
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return false;
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if (auto *A = D->getAttr<AttrT>())
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return A->isImplicit();
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return D->isImplicit();
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}
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bool Sema::isCUDAImplicitHostDeviceFunction(const FunctionDecl *D) {
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bool IsImplicitDevAttr = hasImplicitAttr<CUDADeviceAttr>(D);
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bool IsImplicitHostAttr = hasImplicitAttr<CUDAHostAttr>(D);
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return IsImplicitDevAttr && IsImplicitHostAttr;
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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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if (Matches.size() <= 1)
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return;
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using Pair = std::pair<DeclAccessPair, FunctionDecl*>;
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// Gets the CUDA function preference for a call from Caller to Match.
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auto GetCFP = [&](const Pair &Match) {
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return IdentifyCUDAPreference(Caller, Match.second);
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};
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// Find the best call preference among the functions in Matches.
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CUDAFunctionPreference BestCFP = GetCFP(*std::max_element(
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Matches.begin(), Matches.end(),
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[&](const Pair &M1, const Pair &M2) { return GetCFP(M1) < GetCFP(M2); }));
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// Erase all functions with lower priority.
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llvm::erase_if(Matches,
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[&](const Pair &Match) { return GetCFP(Match) < BestCFP; });
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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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// If the defaulted special member is defined lexically outside of its
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// owning class, or the special member already has explicit device or host
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// attributes, do not infer.
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bool InClass = MemberDecl->getLexicalParent() == MemberDecl->getParent();
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bool HasH = MemberDecl->hasAttr<CUDAHostAttr>();
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bool HasD = MemberDecl->hasAttr<CUDADeviceAttr>();
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bool HasExplicitAttr =
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(HasD && !MemberDecl->getAttr<CUDADeviceAttr>()->isImplicit()) ||
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(HasH && !MemberDecl->getAttr<CUDAHostAttr>()->isImplicit());
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if (!InClass || HasExplicitAttr)
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return false;
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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.getMethod())
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continue;
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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.getMethod())
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continue;
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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 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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bool NeedsH = true, NeedsD = true;
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if (InferredTarget.hasValue()) {
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if (InferredTarget.getValue() == CFT_Device)
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NeedsH = false;
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else if (InferredTarget.getValue() == CFT_Host)
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NeedsD = false;
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}
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// We either setting attributes first time, or the inferred ones must match
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// previously set ones.
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if (NeedsD && !HasD)
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MemberDecl->addAttr(CUDADeviceAttr::CreateImplicit(Context));
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if (NeedsH && !HasH)
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MemberDecl->addAttr(CUDAHostAttr::CreateImplicit(Context));
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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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|
|
// Union ctor does not call ctors of its data members.
|
|
if (CD->getParent()->isUnion())
|
|
return true;
|
|
|
|
// 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;
|
|
|
|
// Union does not have base class and union dtor does not call dtors of its
|
|
// data members.
|
|
if (DD->getParent()->isUnion())
|
|
return true;
|
|
|
|
// 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;
|
|
}
|
|
|
|
namespace {
|
|
enum CUDAInitializerCheckKind {
|
|
CICK_DeviceOrConstant, // Check initializer for device/constant variable
|
|
CICK_Shared, // Check initializer for shared variable
|
|
};
|
|
|
|
bool IsDependentVar(VarDecl *VD) {
|
|
if (VD->getType()->isDependentType())
|
|
return true;
|
|
if (const auto *Init = VD->getInit())
|
|
return Init->isValueDependent();
|
|
return false;
|
|
}
|
|
|
|
// Check whether a variable has an allowed initializer for a CUDA device side
|
|
// variable with global storage. \p VD may be a host variable to be checked for
|
|
// potential promotion to device side variable.
|
|
//
|
|
// CUDA/HIP allows only empty constructors as initializers for global
|
|
// variables (see E.2.3.1, CUDA 7.5). The same restriction also applies to all
|
|
// __shared__ variables whether they are local or not (they all are implicitly
|
|
// static in CUDA). One exception is that CUDA allows constant initializers
|
|
// for __constant__ and __device__ variables.
|
|
bool HasAllowedCUDADeviceStaticInitializer(Sema &S, VarDecl *VD,
|
|
CUDAInitializerCheckKind CheckKind) {
|
|
assert(!VD->isInvalidDecl() && VD->hasGlobalStorage());
|
|
assert(!IsDependentVar(VD) && "do not check dependent var");
|
|
const Expr *Init = VD->getInit();
|
|
auto IsEmptyInit = [&](const Expr *Init) {
|
|
if (!Init)
|
|
return true;
|
|
if (const auto *CE = dyn_cast<CXXConstructExpr>(Init)) {
|
|
return S.isEmptyCudaConstructor(VD->getLocation(), CE->getConstructor());
|
|
}
|
|
return false;
|
|
};
|
|
auto IsConstantInit = [&](const Expr *Init) {
|
|
assert(Init);
|
|
return Init->isConstantInitializer(S.Context,
|
|
VD->getType()->isReferenceType());
|
|
};
|
|
auto HasEmptyDtor = [&](VarDecl *VD) {
|
|
if (const auto *RD = VD->getType()->getAsCXXRecordDecl())
|
|
return S.isEmptyCudaDestructor(VD->getLocation(), RD->getDestructor());
|
|
return true;
|
|
};
|
|
if (CheckKind == CICK_Shared)
|
|
return IsEmptyInit(Init) && HasEmptyDtor(VD);
|
|
return S.LangOpts.GPUAllowDeviceInit ||
|
|
((IsEmptyInit(Init) || IsConstantInit(Init)) && HasEmptyDtor(VD));
|
|
}
|
|
} // namespace
|
|
|
|
void Sema::checkAllowedCUDAInitializer(VarDecl *VD) {
|
|
// Do not check dependent variables since the ctor/dtor/initializer are not
|
|
// determined. Do it after instantiation.
|
|
if (VD->isInvalidDecl() || !VD->hasInit() || !VD->hasGlobalStorage() ||
|
|
IsDependentVar(VD))
|
|
return;
|
|
const Expr *Init = VD->getInit();
|
|
bool IsSharedVar = VD->hasAttr<CUDASharedAttr>();
|
|
bool IsDeviceOrConstantVar =
|
|
!IsSharedVar &&
|
|
(VD->hasAttr<CUDADeviceAttr>() || VD->hasAttr<CUDAConstantAttr>());
|
|
if (IsDeviceOrConstantVar || IsSharedVar) {
|
|
if (HasAllowedCUDADeviceStaticInitializer(
|
|
*this, VD, IsSharedVar ? CICK_Shared : CICK_DeviceOrConstant))
|
|
return;
|
|
Diag(VD->getLocation(),
|
|
IsSharedVar ? diag::err_shared_var_init : diag::err_dynamic_var_init)
|
|
<< Init->getSourceRange();
|
|
VD->setInvalidDecl();
|
|
} else {
|
|
// This is a host-side global variable. Check that the initializer is
|
|
// callable from the host side.
|
|
const FunctionDecl *InitFn = nullptr;
|
|
if (const CXXConstructExpr *CE = dyn_cast<CXXConstructExpr>(Init)) {
|
|
InitFn = CE->getConstructor();
|
|
} else if (const CallExpr *CE = dyn_cast<CallExpr>(Init)) {
|
|
InitFn = CE->getDirectCallee();
|
|
}
|
|
if (InitFn) {
|
|
CUDAFunctionTarget InitFnTarget = IdentifyCUDATarget(InitFn);
|
|
if (InitFnTarget != CFT_Host && InitFnTarget != CFT_HostDevice) {
|
|
Diag(VD->getLocation(), diag::err_ref_bad_target_global_initializer)
|
|
<< InitFnTarget << InitFn;
|
|
Diag(InitFn->getLocation(), diag::note_previous_decl) << InitFn;
|
|
VD->setInvalidDecl();
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// 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.
|
|
//
|
|
// In addition, all function decls are treated as __host__ __device__ when
|
|
// ForceCUDAHostDeviceDepth > 0 (corresponding to code within a
|
|
// #pragma clang force_cuda_host_device_begin/end
|
|
// pair).
|
|
void Sema::maybeAddCUDAHostDeviceAttrs(FunctionDecl *NewD,
|
|
const LookupResult &Previous) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
|
|
if (ForceCUDAHostDeviceDepth > 0) {
|
|
if (!NewD->hasAttr<CUDAHostAttr>())
|
|
NewD->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
if (!NewD->hasAttr<CUDADeviceAttr>())
|
|
NewD->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
return;
|
|
}
|
|
|
|
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;
|
|
Diag(Match->getLocation(),
|
|
diag::note_cuda_conflicting_device_function_declared_here);
|
|
}
|
|
return;
|
|
}
|
|
|
|
NewD->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
NewD->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
}
|
|
|
|
// TODO: `__constant__` memory may be a limited resource for certain targets.
|
|
// A safeguard may be needed at the end of compilation pipeline if
|
|
// `__constant__` memory usage goes beyond limit.
|
|
void Sema::MaybeAddCUDAConstantAttr(VarDecl *VD) {
|
|
// Do not promote dependent variables since the cotr/dtor/initializer are
|
|
// not determined. Do it after instantiation.
|
|
if (getLangOpts().CUDAIsDevice && !VD->hasAttr<CUDAConstantAttr>() &&
|
|
!VD->hasAttr<CUDAConstantAttr>() && !VD->hasAttr<CUDASharedAttr>() &&
|
|
(VD->isFileVarDecl() || VD->isStaticDataMember()) &&
|
|
!IsDependentVar(VD) &&
|
|
(VD->isConstexpr() || (VD->getType().isConstQualified() &&
|
|
HasAllowedCUDADeviceStaticInitializer(
|
|
*this, VD, CICK_DeviceOrConstant)))) {
|
|
VD->addAttr(CUDAConstantAttr::CreateImplicit(getASTContext()));
|
|
}
|
|
}
|
|
|
|
Sema::SemaDiagnosticBuilder Sema::CUDADiagIfDeviceCode(SourceLocation Loc,
|
|
unsigned DiagID) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
SemaDiagnosticBuilder::Kind DiagKind = [&] {
|
|
if (!isa<FunctionDecl>(CurContext))
|
|
return SemaDiagnosticBuilder::K_Nop;
|
|
switch (CurrentCUDATarget()) {
|
|
case CFT_Global:
|
|
case CFT_Device:
|
|
return SemaDiagnosticBuilder::K_Immediate;
|
|
case CFT_HostDevice:
|
|
// An HD function counts as host code if we're compiling for host, and
|
|
// device code if we're compiling for device. Defer any errors in device
|
|
// mode until the function is known-emitted.
|
|
if (!getLangOpts().CUDAIsDevice)
|
|
return SemaDiagnosticBuilder::K_Nop;
|
|
if (IsLastErrorImmediate && Diags.getDiagnosticIDs()->isBuiltinNote(DiagID))
|
|
return SemaDiagnosticBuilder::K_Immediate;
|
|
return (getEmissionStatus(cast<FunctionDecl>(CurContext)) ==
|
|
FunctionEmissionStatus::Emitted)
|
|
? SemaDiagnosticBuilder::K_ImmediateWithCallStack
|
|
: SemaDiagnosticBuilder::K_Deferred;
|
|
default:
|
|
return SemaDiagnosticBuilder::K_Nop;
|
|
}
|
|
}();
|
|
return SemaDiagnosticBuilder(DiagKind, Loc, DiagID,
|
|
dyn_cast<FunctionDecl>(CurContext), *this);
|
|
}
|
|
|
|
Sema::SemaDiagnosticBuilder Sema::CUDADiagIfHostCode(SourceLocation Loc,
|
|
unsigned DiagID) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
SemaDiagnosticBuilder::Kind DiagKind = [&] {
|
|
if (!isa<FunctionDecl>(CurContext))
|
|
return SemaDiagnosticBuilder::K_Nop;
|
|
switch (CurrentCUDATarget()) {
|
|
case CFT_Host:
|
|
return SemaDiagnosticBuilder::K_Immediate;
|
|
case CFT_HostDevice:
|
|
// An HD function counts as host code if we're compiling for host, and
|
|
// device code if we're compiling for device. Defer any errors in device
|
|
// mode until the function is known-emitted.
|
|
if (getLangOpts().CUDAIsDevice)
|
|
return SemaDiagnosticBuilder::K_Nop;
|
|
if (IsLastErrorImmediate && Diags.getDiagnosticIDs()->isBuiltinNote(DiagID))
|
|
return SemaDiagnosticBuilder::K_Immediate;
|
|
return (getEmissionStatus(cast<FunctionDecl>(CurContext)) ==
|
|
FunctionEmissionStatus::Emitted)
|
|
? SemaDiagnosticBuilder::K_ImmediateWithCallStack
|
|
: SemaDiagnosticBuilder::K_Deferred;
|
|
default:
|
|
return SemaDiagnosticBuilder::K_Nop;
|
|
}
|
|
}();
|
|
return SemaDiagnosticBuilder(DiagKind, Loc, DiagID,
|
|
dyn_cast<FunctionDecl>(CurContext), *this);
|
|
}
|
|
|
|
bool Sema::CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
assert(Callee && "Callee may not be null.");
|
|
|
|
auto &ExprEvalCtx = ExprEvalContexts.back();
|
|
if (ExprEvalCtx.isUnevaluated() || ExprEvalCtx.isConstantEvaluated())
|
|
return true;
|
|
|
|
// FIXME: Is bailing out early correct here? Should we instead assume that
|
|
// the caller is a global initializer?
|
|
FunctionDecl *Caller = dyn_cast<FunctionDecl>(CurContext);
|
|
if (!Caller)
|
|
return true;
|
|
|
|
// If the caller is known-emitted, mark the callee as known-emitted.
|
|
// Otherwise, mark the call in our call graph so we can traverse it later.
|
|
bool CallerKnownEmitted =
|
|
getEmissionStatus(Caller) == FunctionEmissionStatus::Emitted;
|
|
SemaDiagnosticBuilder::Kind DiagKind = [this, Caller, Callee,
|
|
CallerKnownEmitted] {
|
|
switch (IdentifyCUDAPreference(Caller, Callee)) {
|
|
case CFP_Never:
|
|
case CFP_WrongSide:
|
|
assert(Caller && "Never/wrongSide calls require a non-null caller");
|
|
// If we know the caller will be emitted, we know this wrong-side call
|
|
// will be emitted, so it's an immediate error. Otherwise, defer the
|
|
// error until we know the caller is emitted.
|
|
return CallerKnownEmitted
|
|
? SemaDiagnosticBuilder::K_ImmediateWithCallStack
|
|
: SemaDiagnosticBuilder::K_Deferred;
|
|
default:
|
|
return SemaDiagnosticBuilder::K_Nop;
|
|
}
|
|
}();
|
|
|
|
if (DiagKind == SemaDiagnosticBuilder::K_Nop)
|
|
return true;
|
|
|
|
// Avoid emitting this error twice for the same location. Using a hashtable
|
|
// like this is unfortunate, but because we must continue parsing as normal
|
|
// after encountering a deferred error, it's otherwise very tricky for us to
|
|
// ensure that we only emit this deferred error once.
|
|
if (!LocsWithCUDACallDiags.insert({Caller, Loc}).second)
|
|
return true;
|
|
|
|
SemaDiagnosticBuilder(DiagKind, Loc, diag::err_ref_bad_target, Caller, *this)
|
|
<< IdentifyCUDATarget(Callee) << /*function*/ 0 << Callee
|
|
<< IdentifyCUDATarget(Caller);
|
|
if (!Callee->getBuiltinID())
|
|
SemaDiagnosticBuilder(DiagKind, Callee->getLocation(),
|
|
diag::note_previous_decl, Caller, *this)
|
|
<< Callee;
|
|
return DiagKind != SemaDiagnosticBuilder::K_Immediate &&
|
|
DiagKind != SemaDiagnosticBuilder::K_ImmediateWithCallStack;
|
|
}
|
|
|
|
// Check the wrong-sided reference capture of lambda for CUDA/HIP.
|
|
// A lambda function may capture a stack variable by reference when it is
|
|
// defined and uses the capture by reference when the lambda is called. When
|
|
// the capture and use happen on different sides, the capture is invalid and
|
|
// should be diagnosed.
|
|
void Sema::CUDACheckLambdaCapture(CXXMethodDecl *Callee,
|
|
const sema::Capture &Capture) {
|
|
// In host compilation we only need to check lambda functions emitted on host
|
|
// side. In such lambda functions, a reference capture is invalid only
|
|
// if the lambda structure is populated by a device function or kernel then
|
|
// is passed to and called by a host function. However that is impossible,
|
|
// since a device function or kernel can only call a device function, also a
|
|
// kernel cannot pass a lambda back to a host function since we cannot
|
|
// define a kernel argument type which can hold the lambda before the lambda
|
|
// itself is defined.
|
|
if (!LangOpts.CUDAIsDevice)
|
|
return;
|
|
|
|
// File-scope lambda can only do init captures for global variables, which
|
|
// results in passing by value for these global variables.
|
|
FunctionDecl *Caller = dyn_cast<FunctionDecl>(CurContext);
|
|
if (!Caller)
|
|
return;
|
|
|
|
// In device compilation, we only need to check lambda functions which are
|
|
// emitted on device side. For such lambdas, a reference capture is invalid
|
|
// only if the lambda structure is populated by a host function then passed
|
|
// to and called in a device function or kernel.
|
|
bool CalleeIsDevice = Callee->hasAttr<CUDADeviceAttr>();
|
|
bool CallerIsHost =
|
|
!Caller->hasAttr<CUDAGlobalAttr>() && !Caller->hasAttr<CUDADeviceAttr>();
|
|
bool ShouldCheck = CalleeIsDevice && CallerIsHost;
|
|
if (!ShouldCheck || !Capture.isReferenceCapture())
|
|
return;
|
|
auto DiagKind = SemaDiagnosticBuilder::K_Deferred;
|
|
if (Capture.isVariableCapture()) {
|
|
SemaDiagnosticBuilder(DiagKind, Capture.getLocation(),
|
|
diag::err_capture_bad_target, Callee, *this)
|
|
<< Capture.getVariable();
|
|
} else if (Capture.isThisCapture()) {
|
|
SemaDiagnosticBuilder(DiagKind, Capture.getLocation(),
|
|
diag::err_capture_bad_target_this_ptr, Callee, *this);
|
|
}
|
|
return;
|
|
}
|
|
|
|
void Sema::CUDASetLambdaAttrs(CXXMethodDecl *Method) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
if (Method->hasAttr<CUDAHostAttr>() || Method->hasAttr<CUDADeviceAttr>())
|
|
return;
|
|
Method->addAttr(CUDADeviceAttr::CreateImplicit(Context));
|
|
Method->addAttr(CUDAHostAttr::CreateImplicit(Context));
|
|
}
|
|
|
|
void Sema::checkCUDATargetOverload(FunctionDecl *NewFD,
|
|
const LookupResult &Previous) {
|
|
assert(getLangOpts().CUDA && "Should only be called during CUDA compilation");
|
|
CUDAFunctionTarget NewTarget = IdentifyCUDATarget(NewFD);
|
|
for (NamedDecl *OldND : Previous) {
|
|
FunctionDecl *OldFD = OldND->getAsFunction();
|
|
if (!OldFD)
|
|
continue;
|
|
|
|
CUDAFunctionTarget OldTarget = IdentifyCUDATarget(OldFD);
|
|
// Don't allow HD and global functions to overload other functions with the
|
|
// same signature. We allow overloading based on CUDA attributes so that
|
|
// functions can have different implementations on the host and device, but
|
|
// HD/global functions "exist" in some sense on both the host and device, so
|
|
// should have the same implementation on both sides.
|
|
if (NewTarget != OldTarget &&
|
|
((NewTarget == CFT_HostDevice) || (OldTarget == CFT_HostDevice) ||
|
|
(NewTarget == CFT_Global) || (OldTarget == CFT_Global)) &&
|
|
!IsOverload(NewFD, OldFD, /* UseMemberUsingDeclRules = */ false,
|
|
/* ConsiderCudaAttrs = */ false)) {
|
|
Diag(NewFD->getLocation(), diag::err_cuda_ovl_target)
|
|
<< NewTarget << NewFD->getDeclName() << OldTarget << OldFD;
|
|
Diag(OldFD->getLocation(), diag::note_previous_declaration);
|
|
NewFD->setInvalidDecl();
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename AttrTy>
|
|
static void copyAttrIfPresent(Sema &S, FunctionDecl *FD,
|
|
const FunctionDecl &TemplateFD) {
|
|
if (AttrTy *Attribute = TemplateFD.getAttr<AttrTy>()) {
|
|
AttrTy *Clone = Attribute->clone(S.Context);
|
|
Clone->setInherited(true);
|
|
FD->addAttr(Clone);
|
|
}
|
|
}
|
|
|
|
void Sema::inheritCUDATargetAttrs(FunctionDecl *FD,
|
|
const FunctionTemplateDecl &TD) {
|
|
const FunctionDecl &TemplateFD = *TD.getTemplatedDecl();
|
|
copyAttrIfPresent<CUDAGlobalAttr>(*this, FD, TemplateFD);
|
|
copyAttrIfPresent<CUDAHostAttr>(*this, FD, TemplateFD);
|
|
copyAttrIfPresent<CUDADeviceAttr>(*this, FD, TemplateFD);
|
|
}
|
|
|
|
std::string Sema::getCudaConfigureFuncName() const {
|
|
if (getLangOpts().HIP)
|
|
return getLangOpts().HIPUseNewLaunchAPI ? "__hipPushCallConfiguration"
|
|
: "hipConfigureCall";
|
|
|
|
// New CUDA kernel launch sequence.
|
|
if (CudaFeatureEnabled(Context.getTargetInfo().getSDKVersion(),
|
|
CudaFeature::CUDA_USES_NEW_LAUNCH))
|
|
return "__cudaPushCallConfiguration";
|
|
|
|
// Legacy CUDA kernel configuration call
|
|
return "cudaConfigureCall";
|
|
}
|