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[flang][OpenMP] lower simple array reductions #84958
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@llvm/pr-subscribers-flang-openmp @llvm/pr-subscribers-flang-fir-hlfir Author: Tom Eccles (tblah) ChangesThis has been tested with arrays with compile-time constant bounds. Allocatable arrays and arrays with non-constant bounds are not yet supported. User-defined reduction functions are also not yet supported. The design is intended to work for arrays with non-constant bounds too without a lot of extra work (mostly there are bugs in OpenMPIRBuilder I haven't fixed yet). We need some way to get these runtime bounds into the reduction init and combiner regions. To keep things simple for now I opted to always box the array arguments so the box can be passed as one argument and the lower bounds and extents read from the box. This has the disadvantage of resulting in fir.box_dim operations inside of the critical section. If these prove to be a performance issue, we could follow OpenACC reading box lower bounds and extents before the reduction and passing them as block arguments to the reduction init and combiner regions. I would prefer to keep things simple for now. Note: this implementation only works when the HLFIR lowering is used. I don't think it is worth supporting FIR-only lowering because the plan is for that to be removed soon. OpenMP array reductions 6/6 Patch is 29.34 KiB, truncated to 20.00 KiB below, full version: https://github.com/llvm/llvm-project/pull/84958.diff 5 Files Affected:
diff --git a/flang/lib/Lower/OpenMP/ReductionProcessor.cpp b/flang/lib/Lower/OpenMP/ReductionProcessor.cpp
index e6a63dd4b939ce..de2f11f5b9512e 100644
--- a/flang/lib/Lower/OpenMP/ReductionProcessor.cpp
+++ b/flang/lib/Lower/OpenMP/ReductionProcessor.cpp
@@ -13,6 +13,7 @@
#include "ReductionProcessor.h"
#include "flang/Lower/AbstractConverter.h"
+#include "flang/Optimizer/Builder/HLFIRTools.h"
#include "flang/Optimizer/Builder/Todo.h"
#include "flang/Optimizer/Dialect/FIRType.h"
#include "flang/Optimizer/HLFIR/HLFIROps.h"
@@ -92,10 +93,42 @@ std::string ReductionProcessor::getReductionName(llvm::StringRef name,
if (isByRef)
byrefAddition = "_byref";
- return (llvm::Twine(name) +
- (ty.isIntOrIndex() ? llvm::Twine("_i_") : llvm::Twine("_f_")) +
- llvm::Twine(ty.getIntOrFloatBitWidth()) + byrefAddition)
- .str();
+ if (fir::isa_trivial(ty))
+ return (llvm::Twine(name) +
+ (ty.isIntOrIndex() ? llvm::Twine("_i_") : llvm::Twine("_f_")) +
+ llvm::Twine(ty.getIntOrFloatBitWidth()) + byrefAddition)
+ .str();
+
+ // creates a name like reduction_i_64_box_ux4x3
+ if (auto boxTy = mlir::dyn_cast_or_null<fir::BaseBoxType>(ty)) {
+ // TODO: support for allocatable boxes:
+ // !fir.box<!fir.heap<!fir.array<...>>>
+ fir::SequenceType seqTy = fir::unwrapRefType(boxTy.getEleTy())
+ .dyn_cast_or_null<fir::SequenceType>();
+ if (!seqTy)
+ return {};
+
+ std::string prefix = getReductionName(
+ name, fir::unwrapSeqOrBoxedSeqType(ty), /*isByRef=*/false);
+ if (prefix.empty())
+ return {};
+ std::stringstream tyStr;
+ tyStr << prefix << "_box_";
+ bool first = true;
+ for (std::int64_t extent : seqTy.getShape()) {
+ if (first)
+ first = false;
+ else
+ tyStr << "x";
+ if (extent == seqTy.getUnknownExtent())
+ tyStr << 'u'; // I'm not sure that '?' is safe in symbol names
+ else
+ tyStr << extent;
+ }
+ return (tyStr.str() + byrefAddition).str();
+ }
+
+ return {};
}
std::string ReductionProcessor::getReductionName(
@@ -283,6 +316,156 @@ mlir::Value ReductionProcessor::createScalarCombiner(
return reductionOp;
}
+/// Create reduction combiner region for reduction variables which are boxed
+/// arrays
+static void genBoxCombiner(fir::FirOpBuilder &builder, mlir::Location loc,
+ ReductionProcessor::ReductionIdentifier redId,
+ fir::BaseBoxType boxTy, mlir::Value lhs,
+ mlir::Value rhs) {
+ fir::SequenceType seqTy =
+ mlir::dyn_cast_or_null<fir::SequenceType>(boxTy.getEleTy());
+ // TODO: support allocatable arrays: !fir.box<!fir.heap<!fir.array<...>>>
+ if (!seqTy || seqTy.hasUnknownShape())
+ TODO(loc, "Unsupported boxed type in OpenMP reduction");
+
+ // load fir.ref<fir.box<...>>
+ mlir::Value lhsAddr = lhs;
+ lhs = builder.create<fir::LoadOp>(loc, lhs);
+ rhs = builder.create<fir::LoadOp>(loc, rhs);
+
+ const unsigned rank = seqTy.getDimension();
+ llvm::SmallVector<mlir::Value> extents;
+ extents.reserve(rank);
+ llvm::SmallVector<mlir::Value> lbAndExtents;
+ lbAndExtents.reserve(rank * 2);
+
+ // Get box lowerbounds and extents:
+ mlir::Type idxTy = builder.getIndexType();
+ for (unsigned i = 0; i < rank; ++i) {
+ // TODO: ideally we want to hoist box reads out of the critical section.
+ // We could do this by having box dimensions in block arguments like
+ // OpenACC does
+ mlir::Value dim = builder.createIntegerConstant(loc, idxTy, i);
+ auto dimInfo =
+ builder.create<fir::BoxDimsOp>(loc, idxTy, idxTy, idxTy, lhs, dim);
+ extents.push_back(dimInfo.getExtent());
+ lbAndExtents.push_back(dimInfo.getLowerBound());
+ lbAndExtents.push_back(dimInfo.getExtent());
+ }
+
+ auto shapeShiftTy = fir::ShapeShiftType::get(builder.getContext(), rank);
+ auto shapeShift =
+ builder.create<fir::ShapeShiftOp>(loc, shapeShiftTy, lbAndExtents);
+
+ // Iterate over array elements, applying the equivalent scalar reduction:
+
+ // A hlfir::elemental here gets inlined with a temporary so create the
+ // loop nest directly.
+ // This function already controls all of the code in this region so we
+ // know this won't miss any opportuinties for clever elemental inlining
+ hlfir::LoopNest nest =
+ hlfir::genLoopNest(loc, builder, extents, /*isUnordered=*/true);
+ builder.setInsertionPointToStart(nest.innerLoop.getBody());
+ mlir::Type refTy = fir::ReferenceType::get(seqTy.getEleTy());
+ auto lhsEleAddr = builder.create<fir::ArrayCoorOp>(
+ loc, refTy, lhs, shapeShift, /*slice=*/mlir::Value{},
+ nest.oneBasedIndices, /*typeparms=*/mlir::ValueRange{});
+ auto rhsEleAddr = builder.create<fir::ArrayCoorOp>(
+ loc, refTy, rhs, shapeShift, /*slice=*/mlir::Value{},
+ nest.oneBasedIndices, /*typeparms=*/mlir::ValueRange{});
+ auto lhsEle = builder.create<fir::LoadOp>(loc, lhsEleAddr);
+ auto rhsEle = builder.create<fir::LoadOp>(loc, rhsEleAddr);
+ mlir::Value scalarReduction = ReductionProcessor::createScalarCombiner(
+ builder, loc, redId, refTy, lhsEle, rhsEle);
+ builder.create<fir::StoreOp>(loc, scalarReduction, lhsEleAddr);
+
+ builder.setInsertionPointAfter(nest.outerLoop);
+ builder.create<mlir::omp::YieldOp>(loc, lhsAddr);
+}
+
+// generate combiner region for reduction operations
+static void genCombiner(fir::FirOpBuilder &builder, mlir::Location loc,
+ ReductionProcessor::ReductionIdentifier redId,
+ mlir::Type ty, mlir::Value lhs, mlir::Value rhs,
+ bool isByRef) {
+ ty = fir::unwrapRefType(ty);
+
+ if (fir::isa_trivial(ty)) {
+ mlir::Value lhsLoaded = builder.loadIfRef(loc, lhs);
+ mlir::Value rhsLoaded = builder.loadIfRef(loc, rhs);
+
+ mlir::Value result = ReductionProcessor::createScalarCombiner(
+ builder, loc, redId, ty, lhsLoaded, rhsLoaded);
+ if (isByRef) {
+ builder.create<fir::StoreOp>(loc, result, lhs);
+ builder.create<mlir::omp::YieldOp>(loc, lhs);
+ } else {
+ builder.create<mlir::omp::YieldOp>(loc, result);
+ }
+ return;
+ }
+ // all arrays should have been boxed
+ if (auto boxTy = mlir::dyn_cast<fir::BaseBoxType>(ty)) {
+ genBoxCombiner(builder, loc, redId, boxTy, lhs, rhs);
+ return;
+ }
+
+ TODO(loc, "OpenMP genCombiner for unsupported reduction variable type");
+}
+
+static mlir::Value
+createReductionInitRegion(fir::FirOpBuilder &builder, mlir::Location loc,
+ const ReductionProcessor::ReductionIdentifier redId,
+ mlir::Type type, bool isByRef) {
+ mlir::Type ty = fir::unwrapRefType(type);
+ mlir::Value initValue = ReductionProcessor::getReductionInitValue(
+ loc, fir::unwrapSeqOrBoxedSeqType(ty), redId, builder);
+
+ if (fir::isa_trivial(ty)) {
+ if (isByRef) {
+ mlir::Value alloca = builder.create<fir::AllocaOp>(loc, ty);
+ builder.createStoreWithConvert(loc, initValue, alloca);
+ return alloca;
+ }
+ // by val
+ return initValue;
+ }
+
+ // all arrays are boxed
+ if (auto boxTy = mlir::dyn_cast_or_null<fir::BaseBoxType>(ty)) {
+ assert(isByRef && "passing arrays by value is unsupported");
+ // TODO: support allocatable arrays: !fir.box<!fir.heap<!fir.array<...>>>
+ mlir::Type innerTy = fir::extractSequenceType(boxTy);
+ if (!mlir::isa<fir::SequenceType>(innerTy))
+ TODO(loc, "Unsupported boxed type for reduction");
+ // Create the private copy from the initial fir.box:
+ hlfir::Entity source = hlfir::Entity{builder.getBlock()->getArgument(0)};
+
+ // from hlfir::createTempFromMold() but with the allocation changed to
+ // use alloca so that we don't have to free it
+ assert(source.isArray());
+ mlir::Type sequenceType =
+ hlfir::getFortranElementOrSequenceType(source.getType());
+ const char *tmpName = "omp.reduction.array.init";
+ mlir::Value shape = hlfir::genShape(loc, builder, source);
+ auto extents = hlfir::getIndexExtents(loc, builder, shape);
+ mlir::Value alloc = builder.createTemporary(loc, sequenceType, tmpName,
+ extents, /*lenParams=*/{});
+ auto declareOp =
+ builder.create<hlfir::DeclareOp>(loc, alloc, tmpName, shape);
+ hlfir::Entity temp = hlfir::Entity{declareOp.getBase()};
+
+ // Put the temporary inside of a box:
+ hlfir::Entity box = hlfir::genVariableBox(loc, builder, temp);
+ builder.create<hlfir::AssignOp>(loc, initValue, box);
+ mlir::Value boxAlloca = builder.create<fir::AllocaOp>(loc, ty);
+ builder.create<fir::StoreOp>(loc, box, boxAlloca);
+ return boxAlloca;
+ }
+
+ TODO(loc, "createReductionInitRegion for unsupported type");
+}
+
mlir::omp::ReductionDeclareOp ReductionProcessor::createReductionDecl(
fir::FirOpBuilder &builder, llvm::StringRef reductionOpName,
const ReductionIdentifier redId, mlir::Type type, mlir::Location loc,
@@ -290,6 +473,9 @@ mlir::omp::ReductionDeclareOp ReductionProcessor::createReductionDecl(
mlir::OpBuilder::InsertionGuard guard(builder);
mlir::ModuleOp module = builder.getModule();
+ if (reductionOpName.empty())
+ TODO(loc, "Reduction of some types is not supported");
+
auto decl =
module.lookupSymbol<mlir::omp::ReductionDeclareOp>(reductionOpName);
if (decl)
@@ -306,14 +492,9 @@ mlir::omp::ReductionDeclareOp ReductionProcessor::createReductionDecl(
decl.getInitializerRegion().end(), {type}, {loc});
builder.setInsertionPointToEnd(&decl.getInitializerRegion().back());
- mlir::Value init = getReductionInitValue(loc, type, redId, builder);
- if (isByRef) {
- mlir::Value alloca = builder.create<fir::AllocaOp>(loc, valTy);
- builder.createStoreWithConvert(loc, init, alloca);
- builder.create<mlir::omp::YieldOp>(loc, alloca);
- } else {
- builder.create<mlir::omp::YieldOp>(loc, init);
- }
+ mlir::Value init =
+ createReductionInitRegion(builder, loc, redId, type, isByRef);
+ builder.create<mlir::omp::YieldOp>(loc, init);
builder.createBlock(&decl.getReductionRegion(),
decl.getReductionRegion().end(), {type, type},
@@ -322,19 +503,7 @@ mlir::omp::ReductionDeclareOp ReductionProcessor::createReductionDecl(
builder.setInsertionPointToEnd(&decl.getReductionRegion().back());
mlir::Value op1 = decl.getReductionRegion().front().getArgument(0);
mlir::Value op2 = decl.getReductionRegion().front().getArgument(1);
- mlir::Value outAddr = op1;
-
- op1 = builder.loadIfRef(loc, op1);
- op2 = builder.loadIfRef(loc, op2);
-
- mlir::Value reductionOp =
- createScalarCombiner(builder, loc, redId, type, op1, op2);
- if (isByRef) {
- builder.create<fir::StoreOp>(loc, reductionOp, outAddr);
- builder.create<mlir::omp::YieldOp>(loc, outAddr);
- } else {
- builder.create<mlir::omp::YieldOp>(loc, reductionOp);
- }
+ genCombiner(builder, loc, redId, type, op1, op2, isByRef);
return decl;
}
@@ -390,6 +559,7 @@ void ReductionProcessor::addReductionDecl(
// initial pass to collect all recuction vars so we can figure out if this
// should happen byref
+ fir::FirOpBuilder &builder = converter.getFirOpBuilder();
for (const Fortran::parser::OmpObject &ompObject : objectList.v) {
if (const auto *name{
Fortran::parser::Unwrap<Fortran::parser::Name>(ompObject)}) {
@@ -397,8 +567,27 @@ void ReductionProcessor::addReductionDecl(
if (reductionSymbols)
reductionSymbols->push_back(symbol);
mlir::Value symVal = converter.getSymbolAddress(*symbol);
- if (auto declOp = symVal.getDefiningOp<hlfir::DeclareOp>())
+ auto redType = mlir::cast<fir::ReferenceType>(symVal.getType());
+
+ // all arrays must be boxed so that we have convenient access to all the
+ // information needed to iterate over the array
+ if (mlir::isa<fir::SequenceType>(redType.getEleTy())) {
+ hlfir::Entity entity{symVal};
+ entity = genVariableBox(currentLocation, builder, entity);
+ mlir::Value box = entity.getBase();
+
+ // Always pass the box by reference so that the OpenMP dialect
+ // verifiers don't need to know anything about fir.box
+ auto alloca =
+ builder.create<fir::AllocaOp>(currentLocation, box.getType());
+ builder.create<fir::StoreOp>(currentLocation, box, alloca);
+
+ symVal = alloca;
+ redType = mlir::cast<fir::ReferenceType>(symVal.getType());
+ } else if (auto declOp = symVal.getDefiningOp<hlfir::DeclareOp>()) {
symVal = declOp.getBase();
+ }
+
reductionVars.push_back(symVal);
}
}
@@ -424,31 +613,19 @@ void ReductionProcessor::addReductionDecl(
"Reduction of some intrinsic operators is not supported");
break;
}
- for (const Fortran::parser::OmpObject &ompObject : objectList.v) {
- if (const auto *name{
- Fortran::parser::Unwrap<Fortran::parser::Name>(ompObject)}) {
- if (const Fortran::semantics::Symbol * symbol{name->symbol}) {
- mlir::Value symVal = converter.getSymbolAddress(*symbol);
- if (auto declOp = symVal.getDefiningOp<hlfir::DeclareOp>())
- symVal = declOp.getBase();
- auto redType = symVal.getType().cast<fir::ReferenceType>();
- if (redType.getEleTy().isa<fir::LogicalType>())
- decl = createReductionDecl(
- firOpBuilder,
- getReductionName(intrinsicOp, firOpBuilder.getI1Type(),
- isByRef),
- redId, redType, currentLocation, isByRef);
- else if (redType.getEleTy().isIntOrIndexOrFloat()) {
- decl = createReductionDecl(
- firOpBuilder, getReductionName(intrinsicOp, redType, isByRef),
- redId, redType, currentLocation, isByRef);
- } else {
- TODO(currentLocation, "Reduction of some types is not supported");
- }
- reductionDeclSymbols.push_back(mlir::SymbolRefAttr::get(
- firOpBuilder.getContext(), decl.getSymName()));
- }
- }
+ for (mlir::Value symVal : reductionVars) {
+ auto redType = mlir::cast<fir::ReferenceType>(symVal.getType());
+ if (redType.getEleTy().isa<fir::LogicalType>())
+ decl = createReductionDecl(
+ firOpBuilder,
+ getReductionName(intrinsicOp, firOpBuilder.getI1Type(), isByRef),
+ redId, redType, currentLocation, isByRef);
+ else
+ decl = createReductionDecl(
+ firOpBuilder, getReductionName(intrinsicOp, redType, isByRef),
+ redId, redType, currentLocation, isByRef);
+ reductionDeclSymbols.push_back(mlir::SymbolRefAttr::get(
+ firOpBuilder.getContext(), decl.getSymName()));
}
} else if (const auto *reductionIntrinsic =
std::get_if<Fortran::parser::ProcedureDesignator>(
@@ -465,8 +642,8 @@ void ReductionProcessor::addReductionDecl(
if (auto declOp = symVal.getDefiningOp<hlfir::DeclareOp>())
symVal = declOp.getBase();
auto redType = symVal.getType().cast<fir::ReferenceType>();
- assert(redType.getEleTy().isIntOrIndexOrFloat() &&
- "Unsupported reduction type");
+ if (!redType.getEleTy().isIntOrIndexOrFloat())
+ TODO(currentLocation, "User Defined Reduction on arrays");
decl = createReductionDecl(
firOpBuilder,
getReductionName(getRealName(*reductionIntrinsic).ToString(),
diff --git a/flang/lib/Lower/OpenMP/ReductionProcessor.h b/flang/lib/Lower/OpenMP/ReductionProcessor.h
index 679580f2a3cac7..0d581bee546dea 100644
--- a/flang/lib/Lower/OpenMP/ReductionProcessor.h
+++ b/flang/lib/Lower/OpenMP/ReductionProcessor.h
@@ -107,7 +107,7 @@ class ReductionProcessor {
/// Creates an OpenMP reduction declaration and inserts it into the provided
/// symbol table. The declaration has a constant initializer with the neutral
/// value `initValue`, and the reduction combiner carried over from `reduce`.
- /// TODO: Generalize this for non-integer types, add atomic region.
+ /// TODO: add atomic region.
static mlir::omp::ReductionDeclareOp
createReductionDecl(fir::FirOpBuilder &builder,
llvm::StringRef reductionOpName,
diff --git a/flang/test/Lower/OpenMP/Todo/reduction-arrays.f90 b/flang/test/Lower/OpenMP/Todo/reduction-arrays.f90
deleted file mode 100644
index a21611faf248ca..00000000000000
--- a/flang/test/Lower/OpenMP/Todo/reduction-arrays.f90
+++ /dev/null
@@ -1,15 +0,0 @@
-! RUN: %not_todo_cmd bbc -emit-fir -fopenmp -o - %s 2>&1 | FileCheck %s
-! RUN: %not_todo_cmd %flang_fc1 -emit-fir -fopenmp -o - %s 2>&1 | FileCheck %s
-
-! CHECK: not yet implemented: Reduction of some types is not supported
-subroutine reduction_array(y)
- integer :: x(100), y(100,100)
- !$omp parallel
- !$omp do reduction(+:x)
- do i=1, 100
- x = x + y(:,i)
- end do
- !$omp end do
- !$omp end parallel
- print *, x
-end subroutine
diff --git a/flang/test/Lower/OpenMP/parallel-reduction-array.f90 b/flang/test/Lower/OpenMP/parallel-reduction-array.f90
new file mode 100644
index 00000000000000..bb2ccfb8825012
--- /dev/null
+++ b/flang/test/Lower/OpenMP/parallel-reduction-array.f90
@@ -0,0 +1,74 @@
+! RUN: bbc -emit-hlfir -fopenmp -o - %s 2>&1 | FileCheck %s
+! RUN: %flang_fc1 -emit-hlfir -fopenmp -o - %s 2>&1 | FileCheck %s
+
+program reduce
+integer, dimension(3) :: i = 0
+
+!$omp parallel reduction(+:i)
+i(1) = 1
+i(2) = 2
+i(3) = 3
+!$omp end parallel
+
+print *,i
+end program
+
+! CHECK-LABEL: omp.reduction.declare @add_reduction_i_32_box_3_byref : !fir.ref<!fir.box<!fir.array<3xi32>>> init {
+! CHECK: ^bb0(%[[VAL_0:.*]]: !fir.ref<!fir.box<!fir.array<3xi32>>>):
+! CHECK: %[[VAL_1:.*]] = fir.alloca !fir.array<3xi32> {bindc_name = "omp.reduction.array.init"}
+! CHECK: %[[VAL_2:.*]] = arith.constant 0 : i32
+! CHECK: %[[VAL_3:.*]] = fir.load %[[VAL_0]] : !fir.ref<!fir.box<!fir.array<3xi32>>>
+! CHECK: %[[VAL_4:.*]] = arith.constant 3 : index
+! CHECK: %[[VAL_5:.*]] = fir.shape %[[VAL_4]] : (index) -> !fir.shape<1>
+! CHECK: %[[VAL_6:.*]]:2 = hlfir.declare %[[VAL_1]](%[[VAL_5]]) {uniq_name = "omp.reduction.array.init"} : (!fir.ref<!fir.array<3xi32>>, !fir.shape<1>) -> (!fir.ref<!fir.array<3xi32>>, !fir.ref<!fir.array<3xi32>>)
+! CHECK: %[[VAL_7:.*]] = fir.embox %[[VAL_6]]#0(%[[VAL_5]]) : (!fir.ref<!fir.array<3xi32>>, !fir.shape<1>) -> !fir.box<!fir.array<3xi32>>
+! CHECK: hlfir.assign %[[VAL_2]] to %[[VAL_7]] : i32, !fir.box<!fir.array<3xi32>>
+! CHECK: %[[VAL_8:.*]] = fir.alloca !fir.box<!fir.array<3xi32>>
+! CHECK: fir.store %[[VAL_7]] to %[[VAL_8]] : !fir.ref<!fir.box<!fir.array<3xi32>>>
+! CHECK: omp.yield(%[[VAL_8]] : !fir.ref<!fir.box<!fir.array<3xi32>>>)
+! CHECK: } combiner {
+! CHECK: ^bb0(%[[VAL_0:.*]]: !fir.ref<!fir.box<!fir.array<3xi32>>>, %[[VAL_1:.*]]: !fir.ref<!fir.box<!fir.array<3xi32>>>):
+! CHECK: %[[VAL_2:.*]] = fir.load %[[VAL_0]] : !fir.ref<!fir.box<!fir.array<3xi32>>>
+! CHECK: %[[VAL_3:.*]] = fir.load %[[VAL_1]] : !fir.ref<!fir.box<!fir.array<3xi32>>>
+! CHECK: %[[VAL_4:.*]] = arith.constant 0 : index
+! CHECK: %[[VAL_5:.*]]:3 = fir.box_dims %[[VAL_2]], %[[VAL_4]] : (!fir.box<!fir.array<3xi32>>, index) -> (index, index, index)
+! CHECK: %[[VAL_6:.*]] = fir.shape_shift %[[VAL_5]]#0, %[[VAL_5]]#1 : (index, index) -> !fir.shapeshift<1>
+! CHECK: %[[VAL_7:.*]] = arith.constant 1 : index
+! CHECK: fir.do_loop %[[VAL_8:.*]] = %[[VAL_7]] to %[[VAL_5]]#1 step %[[VAL_7]] unordered {
+! CHECK: %[[VAL_9:.*]] = fir.array_coor %[[VAL_2]](%[[VAL_6]]) %[[VAL_8]] : (!fir.box<!fir.array<3xi32>>, !fir.shapeshift<1>, index) -> !fir.ref<i32>
+! CHECK: %[[VAL_10:.*]] = fir.array_coor %[[VAL_3]](%[[VAL_6]]) %[[VAL_8]] : (!fir.box<!fir.array<3xi32>>, !fir.shapeshift<1>, index) -> !fir.ref<i32>
+! CHECK: %[[VAL_11:.*]] = fir.load %[[VAL_9]] : !fir.ref<i32>
+! CHECK: %[[VAL_12:.*]] = fir.load %[[VAL_10]] : !fir.ref<i32>
+! CHECK: %[[VAL_13:...
[truncated]
|
for (const Fortran::parser::OmpObject &ompObject : objectList.v) { | ||
if (const auto *name{ | ||
Fortran::parser::Unwrap<Fortran::parser::Name>(ompObject)}) { | ||
if (const Fortran::semantics::Symbol * symbol{name->symbol}) { | ||
if (reductionSymbols) | ||
reductionSymbols->push_back(symbol); | ||
mlir::Value symVal = converter.getSymbolAddress(*symbol); | ||
if (auto declOp = symVal.getDefiningOp<hlfir::DeclareOp>()) | ||
auto redType = mlir::cast<fir::ReferenceType>(symVal.getType()); |
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Is this cast definitely safe? Will symVal always be a reference type here?
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The existing upstream code already does this, I was mostly moving code around here. See line 434 in the old version of the code.
This even predates the by-ref reduction changes. See
symVal.getType().cast<fir::ReferenceType>().getEleTy(); |
For example, if you look at the llvm code we generate by-val reductions (which should be identical after my changes), it loaded the reduction variables unconditionally, so this must be some kind of pointer.
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Nice work. Have a few minor comments.
if (fir::isa_trivial(ty)) | ||
return (llvm::Twine(name) + | ||
(ty.isIntOrIndex() ? llvm::Twine("_i_") : llvm::Twine("_f_")) + | ||
llvm::Twine(ty.getIntOrFloatBitWidth()) + byrefAddition) | ||
.str(); | ||
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// creates a name like reduction_i_64_box_ux4x3 | ||
if (auto boxTy = mlir::dyn_cast_or_null<fir::BaseBoxType>(ty)) { | ||
// TODO: support for allocatable boxes: | ||
// !fir.box<!fir.heap<!fir.array<...>>> | ||
fir::SequenceType seqTy = fir::unwrapRefType(boxTy.getEleTy()) | ||
.dyn_cast_or_null<fir::SequenceType>(); | ||
if (!seqTy) | ||
return {}; | ||
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std::string prefix = getReductionName( | ||
name, fir::unwrapSeqOrBoxedSeqType(ty), /*isByRef=*/false); | ||
if (prefix.empty()) | ||
return {}; | ||
std::stringstream tyStr; | ||
tyStr << prefix << "_box_"; | ||
bool first = true; | ||
for (std::int64_t extent : seqTy.getShape()) { | ||
if (first) | ||
first = false; | ||
else | ||
tyStr << "x"; | ||
if (extent == seqTy.getUnknownExtent()) | ||
tyStr << 'u'; // I'm not sure that '?' is safe in symbol names | ||
else | ||
tyStr << extent; | ||
} | ||
return (tyStr.str() + byrefAddition).str(); | ||
} | ||
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return {}; |
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There is a getTypeAsString (
std::string getTypeAsString(mlir::Type ty, const fir::KindMapping &kindMap, |
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Yeah that looks much better, thanks! I will do it in a separate patch because I think it might change existing names.
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OK, that is fine.
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if (!redType.getEleTy().isIntOrIndexOrFloat()) | ||
TODO(currentLocation, "User Defined Reduction on arrays"); |
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Nit: We don't support complex type now. So this could be due to being a complex type as well.
hlfir::Entity source = hlfir::Entity{builder.getBlock()->getArgument(0)}; | ||
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// from hlfir::createTempFromMold() but with the allocation changed to | ||
// use alloca so that we don't have to free it |
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What if this is inside a loop finally? We might need to add some stacksave and stack restore. Can we add a TODO for this case?
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LLVM will hoist the allocation for these simple cases, but yeah once we support arrays with a dynamic shape, the box dimensions will only be read at this point and so the allocation cannot be moved.
Really, the reduction declare operation needs a deallocation region to undo any allocations in the initialization region. But that is beyond the scope of this patch.
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That should come as part of support for delayed privatization. The privatization region will have an alloc and dealloc regions. So you can skip this for now.
// Create the private copy from the initial fir.box: | ||
hlfir::Entity source = hlfir::Entity{builder.getBlock()->getArgument(0)}; | ||
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// from hlfir::createTempFromMold() but with the allocation changed to |
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Can we pull this out into a function either in this patch or later?
i(1) = 1 | ||
i(2) = 2 | ||
i(3) = 3 |
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Is the test written to deliberately not use the reduction operation in the body?
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I was just trying to create a test with a very simple body. Do you want a test with the reduction operation in the body as well?
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Yes, it would be good to have the test match the default way that it will be used.
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For compile-time constant bounds we should switch to a non-box version sometime later.
Thanks for the changes.
@@ -1108,6 +1108,35 @@ hlfir::createTempFromMold(mlir::Location loc, fir::FirOpBuilder &builder, | |||
return {hlfir::Entity{declareOp.getBase()}, isHeapAlloc}; | |||
} | |||
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hlfir::Entity hlfir::createStackTempFromMold(mlir::Location loc, |
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@ergawy FYI: This patch has a createStackTempFromMold
which might be helpful.
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This has been tested with arrays with compile-time constant bounds. Allocatable arrays and arrays with non-constant bounds are not yet supported. User-defined reduction functions are also not yet supported. The design is intended to work for arrays with non-constant bounds too without a lot of extra work (mostly there are bugs in OpenMPIRBuilder I haven't fixed yet). We need some way to get these runtime bounds into the reduction init and combiner regions. To keep things simple for now I opted to always box the array arguments so the box can be passed as one argument and the lower bounds and extents read from the box. This has the disadvantage of resulting in fir.box_dim operations inside of the critical section. If these prove to be a performance issue, we could follow OpenACC reading box lower bounds and extents before the reduction and passing them as block arguments to the reduction init and combiner regions. I would prefer to keep things simple for now. Note: this implementation only works when the HLFIR lowering is used. I don't think it is worth supporting FIR-only lowering because the plan is for that to be removed soon.
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…code (llvm#84957) Moving extractSequenceType to FIRType.h so that this can also be used from OpenMP. OpenMP array reductions 5/6 Previous PR: llvm#84955 Next PR: llvm#84958
This has been tested with arrays with compile-time constant bounds. Allocatable arrays and arrays with non-constant bounds are not yet supported. User-defined reduction functions are also not yet supported. The design is intended to work for arrays with non-constant bounds too without a lot of extra work (mostly there are bugs in OpenMPIRBuilder I haven't fixed yet). We need some way to get these runtime bounds into the reduction init and combiner regions. To keep things simple for now I opted to always box the array arguments so the box can be passed as one argument and the lower bounds and extents read from the box. This has the disadvantage of resulting in fir.box_dim operations inside of the critical section. If these prove to be a performance issue, we could follow OpenACC reading box lower bounds and extents before the reduction and passing them as block arguments to the reduction init and combiner regions. I would prefer to keep things simple for now. Note: this implementation only works when the HLFIR lowering is used. I don't think it is worth supporting FIR-only lowering because the plan is for that to be removed soon. OpenMP array reductions 6/6 Previous PR: llvm#84957
Following up on a review comment: llvm#84958 (comment) Reductions might be inlined inside of a loop so stack allocations are not safe. Normally flang allocates arrays on the stack. Allocatable arrays have a different type: fir.box<fir.heap<fir.array<...>>> instead of fir.box<fir.array<...>>. This patch will allocate all arrays on the heap. Reductions on allocatable arrays still aren't supported (but I will get to this soon).
Following up on a review comment: #84958 (comment) Reductions might be inlined inside of a loop so stack allocations are not safe. Normally flang allocates arrays on the stack. Allocatable arrays have a different type: fir.box<fir.heap<fir.array<...>>> instead of fir.box<fir.array<...>>. This patch will allocate all arrays on the heap. Reductions on allocatable arrays still aren't supported (but I will get to this soon).
This has been tested with arrays with compile-time constant bounds. Allocatable arrays and arrays with non-constant bounds are not yet supported. User-defined reduction functions are also not yet supported.
The design is intended to work for arrays with non-constant bounds too without a lot of extra work (mostly there are bugs in OpenMPIRBuilder I haven't fixed yet).
We need some way to get these runtime bounds into the reduction init and combiner regions. To keep things simple for now I opted to always box the array arguments so the box can be passed as one argument and the lower bounds and extents read from the box. This has the disadvantage of resulting in fir.box_dim operations inside of the critical section. If these prove to be a performance issue, we could follow OpenACC reading box lower bounds and extents before the reduction and passing them as block arguments to the reduction init and combiner regions. I would prefer to keep things simple for now.
Note: this implementation only works when the HLFIR lowering is used. I don't think it is worth supporting FIR-only lowering because the plan is for that to be removed soon.
OpenMP array reductions 6/6
Previous PR: #84957