Ignore device-side asm constraint errors while compiling CUDA code for host and vice versa.

Differential Revision: http://reviews.llvm.org/D8392

llvm-svn: 232747
This commit is contained in:
Artem Belevich 2015-03-19 18:40:25 +00:00
parent 152b936683
commit 5196fe7c19
3 changed files with 55 additions and 3 deletions

View File

@ -124,6 +124,17 @@ StmtResult Sema::ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
// The parser verifies that there is a string literal here.
assert(AsmString->isAscii());
bool ValidateConstraints = true;
if (getLangOpts().CUDA) {
// In CUDA mode don't verify asm constraints in device functions during host
// compilation and vice versa.
bool InDeviceMode = getLangOpts().CUDAIsDevice;
FunctionDecl *FD = getCurFunctionDecl();
bool IsDeviceFunction =
FD && (FD->hasAttr<CUDADeviceAttr>() || FD->hasAttr<CUDAGlobalAttr>());
ValidateConstraints = IsDeviceFunction == InDeviceMode;
}
for (unsigned i = 0; i != NumOutputs; i++) {
StringLiteral *Literal = Constraints[i];
assert(Literal->isAscii());
@ -133,7 +144,8 @@ StmtResult Sema::ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
OutputName = Names[i]->getName();
TargetInfo::ConstraintInfo Info(Literal->getString(), OutputName);
if (!Context.getTargetInfo().validateOutputConstraint(Info))
if (ValidateConstraints &&
!Context.getTargetInfo().validateOutputConstraint(Info))
return StmtError(Diag(Literal->getLocStart(),
diag::err_asm_invalid_output_constraint)
<< Info.getConstraintStr());
@ -207,8 +219,9 @@ StmtResult Sema::ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
InputName = Names[i]->getName();
TargetInfo::ConstraintInfo Info(Literal->getString(), InputName);
if (!Context.getTargetInfo().validateInputConstraint(OutputConstraintInfos.data(),
NumOutputs, Info)) {
if (ValidateConstraints &&
!Context.getTargetInfo().validateInputConstraint(
OutputConstraintInfos.data(), NumOutputs, Info)) {
return StmtError(Diag(Literal->getLocStart(),
diag::err_asm_invalid_input_constraint)
<< Info.getConstraintStr());

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@ -0,0 +1,24 @@
// Verify that we do check for constraints in device-side inline
// assembly. Passing an illegal input/output constraint and look
// for corresponding error
// RUN: %clang_cc1 -triple nvptx-unknown-cuda -fsyntax-only -fcuda-is-device -verify %s
__attribute__((device)) void df() {
short h;
int a;
// asm with PTX constraints. Some of them are PTX-specific.
__asm__("output constraints"
: "=h"(h), // .u16 reg, OK
"=a"(a) // expected-error {{invalid output constraint '=a' in asm}}
: // None
);
__asm__("input constraints"
: // None
: "f"(0.0), // .f32 reg, OK
"d"(0.0), // .f64 reg, OK
"h"(0), // .u16 reg, OK
"r"(0), // .u32 reg, OK
"l"(0), // .u64 reg, OK
"a"(0) // expected-error {{invalid input constraint 'a' in asm}}
);
}

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@ -0,0 +1,15 @@
// RUN: %clang_cc1 -triple nvptx-unknown-cuda -fsyntax-only -fcuda-is-device -verify %s
// RUN: %clang_cc1 -triple x86_64-unknown-linux-gnu -fsyntax-only -verify %s
// expected-no-diagnostics
__attribute__((device)) void df() {
short h;
// asm with PTX constraints. Some of them are PTX-specific.
__asm__("dont care" : "=h"(h): "f"(0.0), "d"(0.0), "h"(0), "r"(0), "l"(0));
}
void hf() {
int a;
// Asm with x86 constraints that are not supported by PTX.
__asm__("dont care" : "=a"(a): "a"(0), "b"(0), "c"(0));
}