[flang-commits] [mlir] [flang] [openmp] [Flang][OpenMP] Initial mapping of Fortran pointers and allocatables for target devices (PR #71766)
Slava Zakharin via flang-commits
flang-commits at lists.llvm.org
Wed Dec 6 17:57:53 PST 2023
================
@@ -1710,30 +1710,76 @@ bool ClauseProcessor::processLink(
static mlir::omp::MapInfoOp
createMapInfoOp(fir::FirOpBuilder &builder, mlir::Location loc,
- mlir::Value baseAddr, std::stringstream &name,
- mlir::SmallVector<mlir::Value> bounds, uint64_t mapType,
- mlir::omp::VariableCaptureKind mapCaptureType,
- mlir::Type retTy) {
- mlir::Value varPtr, varPtrPtr;
- mlir::TypeAttr varType;
-
+ mlir::Value baseAddr, mlir::Value varPtrPtr, std::string name,
+ mlir::SmallVector<mlir::Value> bounds,
+ mlir::SmallVector<mlir::Value> members, uint64_t mapType,
+ mlir::omp::VariableCaptureKind mapCaptureType, mlir::Type retTy,
+ bool isVal = false) {
if (auto boxTy = baseAddr.getType().dyn_cast<fir::BaseBoxType>()) {
baseAddr = builder.create<fir::BoxAddrOp>(loc, baseAddr);
retTy = baseAddr.getType();
}
- varPtr = baseAddr;
- varType = mlir::TypeAttr::get(
+ mlir::TypeAttr varType = mlir::TypeAttr::get(
llvm::cast<mlir::omp::PointerLikeType>(retTy).getElementType());
mlir::omp::MapInfoOp op = builder.create<mlir::omp::MapInfoOp>(
- loc, retTy, varPtr, varType, varPtrPtr, bounds,
+ loc, retTy, baseAddr, varType, varPtrPtr, members, bounds,
builder.getIntegerAttr(builder.getIntegerType(64, false), mapType),
builder.getAttr<mlir::omp::VariableCaptureKindAttr>(mapCaptureType),
- builder.getStringAttr(name.str()));
+ builder.getStringAttr(name));
+
return op;
}
+static mlir::omp::MapInfoOp processDescriptorTypeMappings(
+ Fortran::semantics::SemanticsContext &semanticsContext,
+ Fortran::lower::StatementContext &stmtCtx,
+ Fortran::lower::AbstractConverter &converter, mlir::Location loc,
+ mlir::Value descriptorAddr, mlir::Value descDataBaseAddr,
+ mlir::ValueRange bounds, std::string asFortran,
+ llvm::omp::OpenMPOffloadMappingFlags mapCaptureType) {
+ llvm::SmallVector<mlir::Value> descriptorBaseAddrMembers;
+ fir::FirOpBuilder &firOpBuilder = converter.getFirOpBuilder();
+
+ mlir::Value descriptor = descriptorAddr;
+
+ // The fir::BoxOffsetOp only works with !fir.ref<!fir.box<...>> types, as
+ // allowing it to access non-reference box operations can cause some
+ // problematic SSA IR. However, in the case of assumed shape's the type
+ // is not a !fir.ref, in these cases to retrieve the appropriate
+ // !fir.ref<!fir.box<...>> to access the data we need to map we must
+ // perform an alloca and then store to it and retrieve the data from the new
+ // alloca.
+ if (fir::isAssumedShape(fir::unwrapRefType(descriptorAddr.getType()))) {
+ mlir::OpBuilder::InsertPoint insPt = firOpBuilder.saveInsertionPoint();
+ firOpBuilder.setInsertionPointToStart(firOpBuilder.getAllocaBlock());
+ descriptor =
+ firOpBuilder.create<fir::AllocaOp>(loc, descriptorAddr.getType());
+ firOpBuilder.restoreInsertionPoint(insPt);
+ firOpBuilder.create<fir::StoreOp>(loc, descriptorAddr, descriptor);
----------------
vzakhari wrote:
I admit I am not completely following what is currently done with the assumed shape arrays, e.g.:
```
subroutine test1(x)
real :: x(:)
!$omp target map(to:x)
!$omp end target
end subroutine test1
```
Gives this FIR:
```
%5 = omp.map_info var_ptr(%4 : !fir.ref<!fir.array<?xf32>>, !fir.array<?xf32>) map_clauses(to) capture(ByRef) bounds(%3) -> !fir.ref<!fir.array<?xf32>> {name = "x"}
omp.target map_entries(%5 -> %arg1 : !fir.ref<!fir.array<?xf32>>) {
^bb0(%arg1: !fir.box<!fir.array<?xf32>>):
%6:2 = hlfir.declare %arg1 {uniq_name = "_QFFtest1Ex"} : (!fir.box<!fir.array<?xf32>>) -> (!fir.box<!fir.array<?xf32>>, !fir.box<!fir.array<?xf32>>)
omp.terminator
}
```
So there is indeed some misalignment of the types in the `map_entries` and the block arguments. I suppose after your change the `map_entries` operand will have type `!fir.ref<!fir.box<...`, and this is not worse than it currently is :)
It seems to me the types should align between the two, but this is out of scope of this PR.
https://github.com/llvm/llvm-project/pull/71766
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