| 1 | //===-- PrivateReductionUtils.cpp -------------------------------*- C++ -*-===// |
| 2 | // |
| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 4 | // See https://llvm.org/LICENSE.txt for license information. |
| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 6 | // |
| 7 | //===----------------------------------------------------------------------===// |
| 8 | // |
| 9 | // Coding style: https://mlir.llvm.org/getting_started/DeveloperGuide/ |
| 10 | // |
| 11 | //===----------------------------------------------------------------------===// |
| 12 | |
| 13 | #include "flang/Lower/Support/PrivateReductionUtils.h" |
| 14 | |
| 15 | #include "flang/Lower/AbstractConverter.h" |
| 16 | #include "flang/Lower/Allocatable.h" |
| 17 | #include "flang/Lower/ConvertVariable.h" |
| 18 | #include "flang/Optimizer/Builder/BoxValue.h" |
| 19 | #include "flang/Optimizer/Builder/Character.h" |
| 20 | #include "flang/Optimizer/Builder/FIRBuilder.h" |
| 21 | #include "flang/Optimizer/Builder/HLFIRTools.h" |
| 22 | #include "flang/Optimizer/Builder/Runtime/Derived.h" |
| 23 | #include "flang/Optimizer/Builder/Todo.h" |
| 24 | #include "flang/Optimizer/Dialect/FIROps.h" |
| 25 | #include "flang/Optimizer/Dialect/FIRType.h" |
| 26 | #include "flang/Optimizer/HLFIR/HLFIRDialect.h" |
| 27 | #include "flang/Optimizer/HLFIR/HLFIROps.h" |
| 28 | #include "flang/Optimizer/Support/FatalError.h" |
| 29 | #include "flang/Semantics/symbol.h" |
| 30 | #include "mlir/Dialect/OpenMP/OpenMPDialect.h" |
| 31 | #include "mlir/IR/Location.h" |
| 32 | |
| 33 | static bool hasFinalization(const Fortran::semantics::Symbol &sym) { |
| 34 | if (sym.has<Fortran::semantics::ObjectEntityDetails>()) |
| 35 | if (const Fortran::semantics::DeclTypeSpec *declTypeSpec = sym.GetType()) |
| 36 | if (const Fortran::semantics::DerivedTypeSpec *derivedTypeSpec = |
| 37 | declTypeSpec->AsDerived()) |
| 38 | return Fortran::semantics::IsFinalizable(*derivedTypeSpec); |
| 39 | return false; |
| 40 | } |
| 41 | |
| 42 | static void createCleanupRegion(Fortran::lower::AbstractConverter &converter, |
| 43 | mlir::Location loc, mlir::Type argType, |
| 44 | mlir::Region &cleanupRegion, |
| 45 | const Fortran::semantics::Symbol *sym, |
| 46 | bool isDoConcurrent) { |
| 47 | fir::FirOpBuilder &builder = converter.getFirOpBuilder(); |
| 48 | assert(cleanupRegion.empty()); |
| 49 | mlir::Block *block = builder.createBlock(&cleanupRegion, cleanupRegion.end(), |
| 50 | {argType}, {loc}); |
| 51 | builder.setInsertionPointToEnd(block); |
| 52 | |
| 53 | auto typeError = [loc]() { |
| 54 | fir::emitFatalError(loc, |
| 55 | "Attempt to create an omp cleanup region " |
| 56 | "for a type that wasn't allocated" , |
| 57 | /*genCrashDiag=*/true); |
| 58 | }; |
| 59 | |
| 60 | mlir::Type valTy = fir::unwrapRefType(argType); |
| 61 | const bool argIsVolatile = fir::isa_volatile_type(argType); |
| 62 | if (auto boxTy = mlir::dyn_cast_or_null<fir::BaseBoxType>(valTy)) { |
| 63 | // TODO: what about undoing init of unboxed derived types? |
| 64 | if (auto recTy = mlir::dyn_cast<fir::RecordType>( |
| 65 | fir::unwrapSequenceType(fir::dyn_cast_ptrOrBoxEleTy(boxTy)))) { |
| 66 | mlir::Type eleTy = boxTy.getEleTy(); |
| 67 | if (mlir::isa<fir::PointerType, fir::HeapType>(eleTy)) { |
| 68 | mlir::Type mutableBoxTy = |
| 69 | fir::ReferenceType::get(fir::BoxType::get(eleTy), argIsVolatile); |
| 70 | mlir::Value converted = |
| 71 | builder.createConvert(loc, mutableBoxTy, block->getArgument(0)); |
| 72 | if (recTy.getNumLenParams() > 0) |
| 73 | TODO(loc, "Deallocate box with length parameters" ); |
| 74 | fir::MutableBoxValue mutableBox{converted, /*lenParameters=*/{}, |
| 75 | /*mutableProperties=*/{}}; |
| 76 | Fortran::lower::genDeallocateIfAllocated(converter, mutableBox, loc); |
| 77 | if (isDoConcurrent) |
| 78 | builder.create<fir::YieldOp>(loc); |
| 79 | else |
| 80 | builder.create<mlir::omp::YieldOp>(loc); |
| 81 | return; |
| 82 | } |
| 83 | } |
| 84 | |
| 85 | // TODO: just replace this whole body with |
| 86 | // Fortran::lower::genDeallocateIfAllocated (not done now to avoid test |
| 87 | // churn) |
| 88 | |
| 89 | mlir::Value arg = builder.loadIfRef(loc, block->getArgument(0)); |
| 90 | assert(mlir::isa<fir::BaseBoxType>(arg.getType())); |
| 91 | |
| 92 | // Deallocate box |
| 93 | // The FIR type system doesn't nesecarrily know that this is a mutable box |
| 94 | // if we allocated the thread local array on the heap to avoid looped stack |
| 95 | // allocations. |
| 96 | mlir::Value addr = |
| 97 | hlfir::genVariableRawAddress(loc, builder, hlfir::Entity{arg}); |
| 98 | mlir::Value isAllocated = builder.genIsNotNullAddr(loc, addr); |
| 99 | fir::IfOp ifOp = |
| 100 | builder.create<fir::IfOp>(loc, isAllocated, /*withElseRegion=*/false); |
| 101 | builder.setInsertionPointToStart(&ifOp.getThenRegion().front()); |
| 102 | |
| 103 | mlir::Value cast = builder.createConvert( |
| 104 | loc, fir::HeapType::get(fir::dyn_cast_ptrEleTy(addr.getType())), addr); |
| 105 | builder.create<fir::FreeMemOp>(loc, cast); |
| 106 | |
| 107 | builder.setInsertionPointAfter(ifOp); |
| 108 | if (isDoConcurrent) |
| 109 | builder.create<fir::YieldOp>(loc); |
| 110 | else |
| 111 | builder.create<mlir::omp::YieldOp>(loc); |
| 112 | return; |
| 113 | } |
| 114 | |
| 115 | if (auto boxCharTy = mlir::dyn_cast<fir::BoxCharType>(argType)) { |
| 116 | auto [addr, len] = |
| 117 | fir::factory::CharacterExprHelper{builder, loc}.createUnboxChar( |
| 118 | block->getArgument(0)); |
| 119 | |
| 120 | // convert addr to a heap type so it can be used with fir::FreeMemOp |
| 121 | auto refTy = mlir::cast<fir::ReferenceType>(addr.getType()); |
| 122 | auto heapTy = fir::HeapType::get(refTy.getEleTy()); |
| 123 | addr = builder.createConvert(loc, heapTy, addr); |
| 124 | |
| 125 | builder.create<fir::FreeMemOp>(loc, addr); |
| 126 | if (isDoConcurrent) |
| 127 | builder.create<fir::YieldOp>(loc); |
| 128 | else |
| 129 | builder.create<mlir::omp::YieldOp>(loc); |
| 130 | |
| 131 | return; |
| 132 | } |
| 133 | |
| 134 | typeError(); |
| 135 | } |
| 136 | |
| 137 | fir::ShapeShiftOp Fortran::lower::getShapeShift( |
| 138 | fir::FirOpBuilder &builder, mlir::Location loc, mlir::Value box, |
| 139 | bool cannotHaveNonDefaultLowerBounds, bool useDefaultLowerBounds) { |
| 140 | fir::SequenceType sequenceType = mlir::cast<fir::SequenceType>( |
| 141 | hlfir::getFortranElementOrSequenceType(box.getType())); |
| 142 | const unsigned rank = sequenceType.getDimension(); |
| 143 | |
| 144 | llvm::SmallVector<mlir::Value> lbAndExtents; |
| 145 | lbAndExtents.reserve(rank * 2); |
| 146 | mlir::Type idxTy = builder.getIndexType(); |
| 147 | |
| 148 | mlir::Value oneVal; |
| 149 | auto one = [&] { |
| 150 | if (!oneVal) |
| 151 | oneVal = builder.createIntegerConstant(loc, idxTy, 1); |
| 152 | return oneVal; |
| 153 | }; |
| 154 | |
| 155 | if ((cannotHaveNonDefaultLowerBounds || useDefaultLowerBounds) && |
| 156 | !sequenceType.hasDynamicExtents()) { |
| 157 | // We don't need fir::BoxDimsOp if all of the extents are statically known |
| 158 | // and we can assume default lower bounds. This helps avoids reads from the |
| 159 | // mold arg. |
| 160 | // We may also want to use default lower bounds to iterate through array |
| 161 | // elements without having to adjust each index. |
| 162 | for (int64_t extent : sequenceType.getShape()) { |
| 163 | assert(extent != sequenceType.getUnknownExtent()); |
| 164 | lbAndExtents.push_back(one()); |
| 165 | mlir::Value extentVal = builder.createIntegerConstant(loc, idxTy, extent); |
| 166 | lbAndExtents.push_back(extentVal); |
| 167 | } |
| 168 | } else { |
| 169 | for (unsigned i = 0; i < rank; ++i) { |
| 170 | // TODO: ideally we want to hoist box reads out of the critical section. |
| 171 | // We could do this by having box dimensions in block arguments like |
| 172 | // OpenACC does |
| 173 | mlir::Value dim = builder.createIntegerConstant(loc, idxTy, i); |
| 174 | auto dimInfo = |
| 175 | builder.create<fir::BoxDimsOp>(loc, idxTy, idxTy, idxTy, box, dim); |
| 176 | lbAndExtents.push_back(useDefaultLowerBounds ? one() |
| 177 | : dimInfo.getLowerBound()); |
| 178 | lbAndExtents.push_back(dimInfo.getExtent()); |
| 179 | } |
| 180 | } |
| 181 | |
| 182 | auto shapeShiftTy = fir::ShapeShiftType::get(builder.getContext(), rank); |
| 183 | auto shapeShift = |
| 184 | builder.create<fir::ShapeShiftOp>(loc, shapeShiftTy, lbAndExtents); |
| 185 | return shapeShift; |
| 186 | } |
| 187 | |
| 188 | // Initialize box newBox using moldBox. These should both have the same type and |
| 189 | // be boxes containing derived types e.g. |
| 190 | // fir.box<!fir.type<>> |
| 191 | // fir.box<!fir.heap<!fir.type<>> |
| 192 | // fir.box<!fir.heap<!fir.array<fir.type<>>> |
| 193 | // fir.class<...<!fir.type<>>> |
| 194 | // If the type doesn't match , this does nothing |
| 195 | static void initializeIfDerivedTypeBox(fir::FirOpBuilder &builder, |
| 196 | mlir::Location loc, mlir::Value newBox, |
| 197 | mlir::Value moldBox, bool hasInitializer, |
| 198 | bool isFirstPrivate) { |
| 199 | assert(moldBox.getType() == newBox.getType()); |
| 200 | fir::BoxType boxTy = mlir::dyn_cast<fir::BoxType>(newBox.getType()); |
| 201 | fir::ClassType classTy = mlir::dyn_cast<fir::ClassType>(newBox.getType()); |
| 202 | if (!boxTy && !classTy) |
| 203 | return; |
| 204 | |
| 205 | // remove pointer and array types in the middle |
| 206 | mlir::Type eleTy = boxTy ? boxTy.getElementType() : classTy.getEleTy(); |
| 207 | mlir::Type derivedTy = fir::unwrapRefType(eleTy); |
| 208 | if (auto array = mlir::dyn_cast<fir::SequenceType>(derivedTy)) |
| 209 | derivedTy = array.getElementType(); |
| 210 | |
| 211 | if (!fir::isa_derived(derivedTy)) |
| 212 | return; |
| 213 | |
| 214 | if (hasInitializer) |
| 215 | fir::runtime::genDerivedTypeInitialize(builder, loc, newBox); |
| 216 | |
| 217 | if (hlfir::mayHaveAllocatableComponent(derivedTy) && !isFirstPrivate) |
| 218 | fir::runtime::genDerivedTypeInitializeClone(builder, loc, newBox, moldBox); |
| 219 | } |
| 220 | |
| 221 | static void getLengthParameters(fir::FirOpBuilder &builder, mlir::Location loc, |
| 222 | mlir::Value moldArg, |
| 223 | llvm::SmallVectorImpl<mlir::Value> &lenParams) { |
| 224 | // We pass derived types unboxed and so are not self-contained entities. |
| 225 | // Assume that unboxed derived types won't need length paramters. |
| 226 | if (!hlfir::isFortranEntity(moldArg)) |
| 227 | return; |
| 228 | |
| 229 | hlfir::genLengthParameters(loc, builder, hlfir::Entity{moldArg}, lenParams); |
| 230 | if (lenParams.empty()) |
| 231 | return; |
| 232 | |
| 233 | // The verifier for EmboxOp doesn't allow length parameters when the the |
| 234 | // character already has static LEN. genLengthParameters may still return them |
| 235 | // in this case. |
| 236 | auto strTy = mlir::dyn_cast<fir::CharacterType>( |
| 237 | fir::getFortranElementType(moldArg.getType())); |
| 238 | |
| 239 | if (strTy && strTy.hasConstantLen()) |
| 240 | lenParams.resize(0); |
| 241 | } |
| 242 | |
| 243 | static bool |
| 244 | isDerivedTypeNeedingInitialization(const Fortran::semantics::Symbol &sym) { |
| 245 | // Fortran::lower::hasDefaultInitialization returns false for ALLOCATABLE, so |
| 246 | // re-implement here. |
| 247 | // ignorePointer=true because either the pointer points to the same target as |
| 248 | // the original variable, or it is uninitialized. |
| 249 | if (const Fortran::semantics::DeclTypeSpec *declTypeSpec = sym.GetType()) |
| 250 | if (const Fortran::semantics::DerivedTypeSpec *derivedTypeSpec = |
| 251 | declTypeSpec->AsDerived()) |
| 252 | return derivedTypeSpec->HasDefaultInitialization( |
| 253 | /*ignoreAllocatable=*/false, /*ignorePointer=*/true); |
| 254 | return false; |
| 255 | } |
| 256 | |
| 257 | static mlir::Value generateZeroShapeForRank(fir::FirOpBuilder &builder, |
| 258 | mlir::Location loc, |
| 259 | mlir::Value moldArg) { |
| 260 | mlir::Type moldType = fir::unwrapRefType(moldArg.getType()); |
| 261 | mlir::Type eleType = fir::dyn_cast_ptrOrBoxEleTy(moldType); |
| 262 | fir::SequenceType seqTy = |
| 263 | mlir::dyn_cast_if_present<fir::SequenceType>(eleType); |
| 264 | if (!seqTy) |
| 265 | return mlir::Value{}; |
| 266 | |
| 267 | unsigned rank = seqTy.getShape().size(); |
| 268 | mlir::Value zero = |
| 269 | builder.createIntegerConstant(loc, builder.getIndexType(), 0); |
| 270 | mlir::SmallVector<mlir::Value> dims; |
| 271 | dims.resize(rank, zero); |
| 272 | mlir::Type shapeTy = fir::ShapeType::get(builder.getContext(), rank); |
| 273 | return builder.create<fir::ShapeOp>(loc, shapeTy, dims); |
| 274 | } |
| 275 | |
| 276 | namespace { |
| 277 | using namespace Fortran::lower; |
| 278 | /// Class to store shared data so we don't have to maintain so many function |
| 279 | /// arguments |
| 280 | class PopulateInitAndCleanupRegionsHelper { |
| 281 | public: |
| 282 | PopulateInitAndCleanupRegionsHelper( |
| 283 | Fortran::lower::AbstractConverter &converter, mlir::Location loc, |
| 284 | mlir::Type argType, mlir::Value scalarInitValue, |
| 285 | mlir::Value allocatedPrivVarArg, mlir::Value moldArg, |
| 286 | mlir::Block *initBlock, mlir::Region &cleanupRegion, |
| 287 | DeclOperationKind kind, const Fortran::semantics::Symbol *sym, |
| 288 | bool cannotHaveLowerBounds, bool isDoConcurrent) |
| 289 | : converter{converter}, builder{converter.getFirOpBuilder()}, loc{loc}, |
| 290 | argType{argType}, scalarInitValue{scalarInitValue}, |
| 291 | allocatedPrivVarArg{allocatedPrivVarArg}, moldArg{moldArg}, |
| 292 | initBlock{initBlock}, cleanupRegion{cleanupRegion}, kind{kind}, |
| 293 | sym{sym}, cannotHaveNonDefaultLowerBounds{cannotHaveLowerBounds}, |
| 294 | isDoConcurrent{isDoConcurrent} { |
| 295 | valType = fir::unwrapRefType(argType); |
| 296 | } |
| 297 | |
| 298 | void populateByRefInitAndCleanupRegions(); |
| 299 | |
| 300 | private: |
| 301 | Fortran::lower::AbstractConverter &converter; |
| 302 | fir::FirOpBuilder &builder; |
| 303 | |
| 304 | mlir::Location loc; |
| 305 | |
| 306 | /// The type of the block arguments passed into the init and cleanup regions |
| 307 | mlir::Type argType; |
| 308 | |
| 309 | /// argType stripped of any references |
| 310 | mlir::Type valType; |
| 311 | |
| 312 | /// sclarInitValue: The value scalars should be initialized to (only |
| 313 | /// valid for reductions). |
| 314 | /// allocatedPrivVarArg: The allocation for the private |
| 315 | /// variable. |
| 316 | /// moldArg: The original variable. |
| 317 | /// loadedMoldArg: The original variable, loaded. Access via |
| 318 | /// getLoadedMoldArg(). |
| 319 | mlir::Value scalarInitValue, allocatedPrivVarArg, moldArg, loadedMoldArg; |
| 320 | |
| 321 | /// The first block in the init region. |
| 322 | mlir::Block *initBlock; |
| 323 | |
| 324 | /// The region to insert clanup code into. |
| 325 | mlir::Region &cleanupRegion; |
| 326 | |
| 327 | /// The kind of operation we are generating init/cleanup regions for. |
| 328 | DeclOperationKind kind; |
| 329 | |
| 330 | /// (optional) The symbol being privatized. |
| 331 | const Fortran::semantics::Symbol *sym; |
| 332 | |
| 333 | /// Any length parameters which have been fetched for the type |
| 334 | mlir::SmallVector<mlir::Value> lenParams; |
| 335 | |
| 336 | /// If the source variable being privatized definitely can't have non-default |
| 337 | /// lower bounds then we don't need to generate code to read them. |
| 338 | bool cannotHaveNonDefaultLowerBounds; |
| 339 | |
| 340 | bool isDoConcurrent; |
| 341 | |
| 342 | void createYield(mlir::Value ret) { |
| 343 | if (isDoConcurrent) |
| 344 | builder.create<fir::YieldOp>(loc, ret); |
| 345 | else |
| 346 | builder.create<mlir::omp::YieldOp>(loc, ret); |
| 347 | } |
| 348 | |
| 349 | void initTrivialType() { |
| 350 | builder.setInsertionPointToEnd(initBlock); |
| 351 | if (scalarInitValue) |
| 352 | builder.createStoreWithConvert(loc, scalarInitValue, allocatedPrivVarArg); |
| 353 | createYield(allocatedPrivVarArg); |
| 354 | } |
| 355 | |
| 356 | void initBoxedPrivatePointer(fir::BaseBoxType boxTy); |
| 357 | |
| 358 | /// e.g. !fir.box<!fir.heap<i32>>, !fir.box<!fir.type<....>>, |
| 359 | /// !fir.box<!fir.char<...>> |
| 360 | void initAndCleanupBoxedScalar(fir::BaseBoxType boxTy, |
| 361 | bool needsInitialization); |
| 362 | |
| 363 | void initAndCleanupBoxedArray(fir::BaseBoxType boxTy, |
| 364 | bool needsInitialization); |
| 365 | |
| 366 | void initAndCleanupBoxchar(fir::BoxCharType boxCharTy); |
| 367 | |
| 368 | void initAndCleanupUnboxedDerivedType(bool needsInitialization); |
| 369 | |
| 370 | fir::IfOp handleNullAllocatable(); |
| 371 | |
| 372 | // Do this lazily so that we don't load it when it is not used. |
| 373 | inline mlir::Value getLoadedMoldArg() { |
| 374 | if (loadedMoldArg) |
| 375 | return loadedMoldArg; |
| 376 | loadedMoldArg = builder.loadIfRef(loc, moldArg); |
| 377 | return loadedMoldArg; |
| 378 | } |
| 379 | }; |
| 380 | |
| 381 | } // namespace |
| 382 | |
| 383 | /// The initial state of a private pointer is undefined so we don't need to |
| 384 | /// match the mold argument (OpenMP 5.2 end of page 106). |
| 385 | void PopulateInitAndCleanupRegionsHelper::initBoxedPrivatePointer( |
| 386 | fir::BaseBoxType boxTy) { |
| 387 | assert(isPrivatization(kind)); |
| 388 | // we need a shape with the right rank so that the embox op is lowered |
| 389 | // to an llvm struct of the right type. This returns nullptr if the types |
| 390 | // aren't right. |
| 391 | mlir::Value shape = generateZeroShapeForRank(builder, loc, moldArg); |
| 392 | // Just incase, do initialize the box with a null value |
| 393 | mlir::Value null = builder.createNullConstant(loc, boxTy.getEleTy()); |
| 394 | mlir::Value nullBox; |
| 395 | nullBox = builder.create<fir::EmboxOp>(loc, boxTy, null, shape, |
| 396 | /*slice=*/mlir::Value{}, lenParams); |
| 397 | builder.create<fir::StoreOp>(loc, nullBox, allocatedPrivVarArg); |
| 398 | createYield(allocatedPrivVarArg); |
| 399 | } |
| 400 | /// Check if an allocatable box is unallocated. If so, initialize the boxAlloca |
| 401 | /// to be unallocated e.g. |
| 402 | /// %box_alloca = fir.alloca !fir.box<!fir.heap<...>> |
| 403 | /// %addr = fir.box_addr %box |
| 404 | /// if (%addr == 0) { |
| 405 | /// %nullbox = fir.embox %addr |
| 406 | /// fir.store %nullbox to %box_alloca |
| 407 | /// } else { |
| 408 | /// // ... |
| 409 | /// fir.store %something to %box_alloca |
| 410 | /// } |
| 411 | /// omp.yield %box_alloca |
| 412 | fir::IfOp PopulateInitAndCleanupRegionsHelper::handleNullAllocatable() { |
| 413 | mlir::Value addr = builder.create<fir::BoxAddrOp>(loc, getLoadedMoldArg()); |
| 414 | mlir::Value isNotAllocated = builder.genIsNullAddr(loc, addr); |
| 415 | fir::IfOp ifOp = builder.create<fir::IfOp>(loc, isNotAllocated, |
| 416 | /*withElseRegion=*/true); |
| 417 | builder.setInsertionPointToStart(&ifOp.getThenRegion().front()); |
| 418 | // Just embox the null address and return. |
| 419 | // We have to give the embox a shape so that the LLVM box structure has the |
| 420 | // right rank. This returns an empty value if the types don't match. |
| 421 | mlir::Value shape = generateZeroShapeForRank(builder, loc, moldArg); |
| 422 | |
| 423 | mlir::Value nullBox = |
| 424 | builder.create<fir::EmboxOp>(loc, valType, addr, shape, |
| 425 | /*slice=*/mlir::Value{}, lenParams); |
| 426 | builder.create<fir::StoreOp>(loc, nullBox, allocatedPrivVarArg); |
| 427 | return ifOp; |
| 428 | } |
| 429 | |
| 430 | void PopulateInitAndCleanupRegionsHelper::initAndCleanupBoxedScalar( |
| 431 | fir::BaseBoxType boxTy, bool needsInitialization) { |
| 432 | bool isAllocatableOrPointer = |
| 433 | mlir::isa<fir::HeapType, fir::PointerType>(boxTy.getEleTy()); |
| 434 | mlir::Type innerTy = fir::unwrapRefType(boxTy.getEleTy()); |
| 435 | fir::IfOp ifUnallocated{nullptr}; |
| 436 | if (isAllocatableOrPointer) { |
| 437 | ifUnallocated = handleNullAllocatable(); |
| 438 | builder.setInsertionPointToStart(&ifUnallocated.getElseRegion().front()); |
| 439 | } |
| 440 | |
| 441 | mlir::Value valAlloc = builder.createHeapTemporary(loc, innerTy, /*name=*/{}, |
| 442 | /*shape=*/{}, lenParams); |
| 443 | if (scalarInitValue) |
| 444 | builder.createStoreWithConvert(loc, scalarInitValue, valAlloc); |
| 445 | mlir::Value box = builder.create<fir::EmboxOp>( |
| 446 | loc, valType, valAlloc, /*shape=*/mlir::Value{}, |
| 447 | /*slice=*/mlir::Value{}, lenParams); |
| 448 | initializeIfDerivedTypeBox( |
| 449 | builder, loc, box, getLoadedMoldArg(), needsInitialization, |
| 450 | /*isFirstPrivate=*/kind == DeclOperationKind::FirstPrivateOrLocalInit); |
| 451 | fir::StoreOp lastOp = |
| 452 | builder.create<fir::StoreOp>(loc, box, allocatedPrivVarArg); |
| 453 | |
| 454 | createCleanupRegion(converter, loc, argType, cleanupRegion, sym, |
| 455 | isDoConcurrent); |
| 456 | |
| 457 | if (ifUnallocated) |
| 458 | builder.setInsertionPointAfter(ifUnallocated); |
| 459 | else |
| 460 | builder.setInsertionPointAfter(lastOp); |
| 461 | |
| 462 | createYield(allocatedPrivVarArg); |
| 463 | } |
| 464 | |
| 465 | void PopulateInitAndCleanupRegionsHelper::initAndCleanupBoxedArray( |
| 466 | fir::BaseBoxType boxTy, bool needsInitialization) { |
| 467 | bool isAllocatableOrPointer = |
| 468 | mlir::isa<fir::HeapType, fir::PointerType>(boxTy.getEleTy()); |
| 469 | getLengthParameters(builder, loc, getLoadedMoldArg(), lenParams); |
| 470 | |
| 471 | fir::IfOp ifUnallocated{nullptr}; |
| 472 | if (isAllocatableOrPointer) { |
| 473 | ifUnallocated = handleNullAllocatable(); |
| 474 | builder.setInsertionPointToStart(&ifUnallocated.getElseRegion().front()); |
| 475 | } |
| 476 | |
| 477 | // Create the private copy from the initial fir.box: |
| 478 | hlfir::Entity source = hlfir::Entity{getLoadedMoldArg()}; |
| 479 | |
| 480 | // Special case for (possibly allocatable) arrays of polymorphic types |
| 481 | // e.g. !fir.class<!fir.heap<!fir.array<?x!fir.type<>>>> |
| 482 | if (source.isPolymorphic()) { |
| 483 | fir::ShapeShiftOp shape = |
| 484 | getShapeShift(builder, loc, source, cannotHaveNonDefaultLowerBounds); |
| 485 | mlir::Type arrayType = source.getElementOrSequenceType(); |
| 486 | mlir::Value allocatedArray = builder.create<fir::AllocMemOp>( |
| 487 | loc, arrayType, /*typeparams=*/mlir::ValueRange{}, shape.getExtents()); |
| 488 | mlir::Value firClass = builder.create<fir::EmboxOp>(loc, source.getType(), |
| 489 | allocatedArray, shape); |
| 490 | initializeIfDerivedTypeBox( |
| 491 | builder, loc, firClass, source, needsInitialization, |
| 492 | /*isFirstprivate=*/kind == DeclOperationKind::FirstPrivateOrLocalInit); |
| 493 | builder.create<fir::StoreOp>(loc, firClass, allocatedPrivVarArg); |
| 494 | if (ifUnallocated) |
| 495 | builder.setInsertionPointAfter(ifUnallocated); |
| 496 | createYield(allocatedPrivVarArg); |
| 497 | mlir::OpBuilder::InsertionGuard guard(builder); |
| 498 | createCleanupRegion(converter, loc, argType, cleanupRegion, sym, |
| 499 | isDoConcurrent); |
| 500 | return; |
| 501 | } |
| 502 | |
| 503 | // Allocating on the heap in case the whole reduction/privatization is nested |
| 504 | // inside of a loop |
| 505 | auto [temp, needsDealloc] = createTempFromMold(loc, builder, source); |
| 506 | // if needsDealloc isn't statically false, add cleanup region. Always |
| 507 | // do this for allocatable boxes because they might have been re-allocated |
| 508 | // in the body of the loop/parallel region |
| 509 | |
| 510 | std::optional<int64_t> cstNeedsDealloc = fir::getIntIfConstant(needsDealloc); |
| 511 | assert(cstNeedsDealloc.has_value() && |
| 512 | "createTempFromMold decides this statically" ); |
| 513 | if (cstNeedsDealloc.has_value() && *cstNeedsDealloc != false) { |
| 514 | mlir::OpBuilder::InsertionGuard guard(builder); |
| 515 | createCleanupRegion(converter, loc, argType, cleanupRegion, sym, |
| 516 | isDoConcurrent); |
| 517 | } else { |
| 518 | assert(!isAllocatableOrPointer && |
| 519 | "Pointer-like arrays must be heap allocated" ); |
| 520 | } |
| 521 | |
| 522 | // Put the temporary inside of a box: |
| 523 | // hlfir::genVariableBox doesn't handle non-default lower bounds |
| 524 | mlir::Value box; |
| 525 | fir::ShapeShiftOp shapeShift = getShapeShift(builder, loc, getLoadedMoldArg(), |
| 526 | cannotHaveNonDefaultLowerBounds); |
| 527 | mlir::Type boxType = getLoadedMoldArg().getType(); |
| 528 | if (mlir::isa<fir::BaseBoxType>(temp.getType())) |
| 529 | // the box created by the declare form createTempFromMold is missing |
| 530 | // lower bounds info |
| 531 | box = builder.create<fir::ReboxOp>(loc, boxType, temp, shapeShift, |
| 532 | /*shift=*/mlir::Value{}); |
| 533 | else |
| 534 | box = builder.create<fir::EmboxOp>( |
| 535 | loc, boxType, temp, shapeShift, |
| 536 | /*slice=*/mlir::Value{}, |
| 537 | /*typeParams=*/llvm::ArrayRef<mlir::Value>{}); |
| 538 | |
| 539 | if (scalarInitValue) |
| 540 | builder.create<hlfir::AssignOp>(loc, scalarInitValue, box); |
| 541 | |
| 542 | initializeIfDerivedTypeBox( |
| 543 | builder, loc, box, getLoadedMoldArg(), needsInitialization, |
| 544 | /*isFirstPrivate=*/kind == DeclOperationKind::FirstPrivateOrLocalInit); |
| 545 | |
| 546 | builder.create<fir::StoreOp>(loc, box, allocatedPrivVarArg); |
| 547 | if (ifUnallocated) |
| 548 | builder.setInsertionPointAfter(ifUnallocated); |
| 549 | createYield(allocatedPrivVarArg); |
| 550 | } |
| 551 | |
| 552 | void PopulateInitAndCleanupRegionsHelper::initAndCleanupBoxchar( |
| 553 | fir::BoxCharType boxCharTy) { |
| 554 | mlir::Type eleTy = boxCharTy.getEleTy(); |
| 555 | builder.setInsertionPointToStart(initBlock); |
| 556 | fir::factory::CharacterExprHelper charExprHelper{builder, loc}; |
| 557 | auto [addr, len] = charExprHelper.createUnboxChar(moldArg); |
| 558 | |
| 559 | // Using heap temporary so that |
| 560 | // 1) It is safe to use privatization inside of big loops. |
| 561 | // 2) The lifetime can outlive the current stack frame for delayed task |
| 562 | // execution. |
| 563 | // We can't always allocate a boxchar implicitly as the type of the |
| 564 | // omp.private because the allocation potentially needs the length |
| 565 | // parameters fetched above. |
| 566 | // TODO: this deviates from the intended design for delayed task |
| 567 | // execution. |
| 568 | mlir::Value privateAddr = builder.createHeapTemporary( |
| 569 | loc, eleTy, /*name=*/{}, /*shape=*/{}, /*lenParams=*/len); |
| 570 | mlir::Value boxChar = charExprHelper.createEmboxChar(privateAddr, len); |
| 571 | |
| 572 | createCleanupRegion(converter, loc, argType, cleanupRegion, sym, |
| 573 | isDoConcurrent); |
| 574 | |
| 575 | builder.setInsertionPointToEnd(initBlock); |
| 576 | createYield(boxChar); |
| 577 | } |
| 578 | |
| 579 | void PopulateInitAndCleanupRegionsHelper::initAndCleanupUnboxedDerivedType( |
| 580 | bool needsInitialization) { |
| 581 | builder.setInsertionPointToStart(initBlock); |
| 582 | mlir::Type boxedTy = fir::BoxType::get(valType); |
| 583 | mlir::Value newBox = |
| 584 | builder.create<fir::EmboxOp>(loc, boxedTy, allocatedPrivVarArg); |
| 585 | mlir::Value moldBox = builder.create<fir::EmboxOp>(loc, boxedTy, moldArg); |
| 586 | initializeIfDerivedTypeBox(builder, loc, newBox, moldBox, needsInitialization, |
| 587 | /*isFirstPrivate=*/kind == |
| 588 | DeclOperationKind::FirstPrivateOrLocalInit); |
| 589 | |
| 590 | if (sym && hasFinalization(*sym)) |
| 591 | createCleanupRegion(converter, loc, argType, cleanupRegion, sym, |
| 592 | isDoConcurrent); |
| 593 | |
| 594 | builder.setInsertionPointToEnd(initBlock); |
| 595 | createYield(allocatedPrivVarArg); |
| 596 | } |
| 597 | |
| 598 | /// This is the main driver deciding how to initialize the private variable. |
| 599 | void PopulateInitAndCleanupRegionsHelper::populateByRefInitAndCleanupRegions() { |
| 600 | if (isPrivatization(kind)) { |
| 601 | assert(sym && "Symbol information is required to privatize derived types" ); |
| 602 | assert(!scalarInitValue && "ScalarInitvalue is unused for privatization" ); |
| 603 | } |
| 604 | mlir::Type valTy = fir::unwrapRefType(argType); |
| 605 | |
| 606 | if (fir::isa_trivial(valTy)) { |
| 607 | initTrivialType(); |
| 608 | return; |
| 609 | } |
| 610 | |
| 611 | bool needsInitialization = |
| 612 | sym ? isDerivedTypeNeedingInitialization(sym->GetUltimate()) : false; |
| 613 | |
| 614 | if (auto boxTy = mlir::dyn_cast_or_null<fir::BaseBoxType>(valTy)) { |
| 615 | builder.setInsertionPointToEnd(initBlock); |
| 616 | |
| 617 | // TODO: don't do this unless it is needed |
| 618 | getLengthParameters(builder, loc, getLoadedMoldArg(), lenParams); |
| 619 | |
| 620 | if (isPrivatization(kind) && |
| 621 | mlir::isa<fir::PointerType>(boxTy.getEleTy())) { |
| 622 | initBoxedPrivatePointer(boxTy); |
| 623 | return; |
| 624 | } |
| 625 | |
| 626 | mlir::Type innerTy = fir::unwrapRefType(boxTy.getEleTy()); |
| 627 | bool isDerived = fir::isa_derived(innerTy); |
| 628 | bool isChar = fir::isa_char(innerTy); |
| 629 | if (fir::isa_trivial(innerTy) || isDerived || isChar) { |
| 630 | // boxed non-sequence value e.g. !fir.box<!fir.heap<i32>> |
| 631 | if ((isDerived || isChar) && (isReduction(kind) || scalarInitValue)) |
| 632 | TODO(loc, "Reduction of an unsupported boxed type" ); |
| 633 | initAndCleanupBoxedScalar(boxTy, needsInitialization); |
| 634 | return; |
| 635 | } |
| 636 | |
| 637 | innerTy = fir::extractSequenceType(boxTy); |
| 638 | if (!innerTy || !mlir::isa<fir::SequenceType>(innerTy)) |
| 639 | TODO(loc, "Unsupported boxed type for reduction/privatization" ); |
| 640 | initAndCleanupBoxedArray(boxTy, needsInitialization); |
| 641 | return; |
| 642 | } |
| 643 | |
| 644 | // Unboxed types: |
| 645 | if (auto boxCharTy = mlir::dyn_cast<fir::BoxCharType>(argType)) { |
| 646 | initAndCleanupBoxchar(boxCharTy); |
| 647 | return; |
| 648 | } |
| 649 | if (fir::isa_derived(valType)) { |
| 650 | initAndCleanupUnboxedDerivedType(needsInitialization); |
| 651 | return; |
| 652 | } |
| 653 | |
| 654 | TODO(loc, |
| 655 | "creating reduction/privatization init region for unsupported type" ); |
| 656 | } |
| 657 | |
| 658 | void Fortran::lower::populateByRefInitAndCleanupRegions( |
| 659 | Fortran::lower::AbstractConverter &converter, mlir::Location loc, |
| 660 | mlir::Type argType, mlir::Value scalarInitValue, mlir::Block *initBlock, |
| 661 | mlir::Value allocatedPrivVarArg, mlir::Value moldArg, |
| 662 | mlir::Region &cleanupRegion, DeclOperationKind kind, |
| 663 | const Fortran::semantics::Symbol *sym, bool cannotHaveLowerBounds, |
| 664 | bool isDoConcurrent) { |
| 665 | PopulateInitAndCleanupRegionsHelper helper( |
| 666 | converter, loc, argType, scalarInitValue, allocatedPrivVarArg, moldArg, |
| 667 | initBlock, cleanupRegion, kind, sym, cannotHaveLowerBounds, |
| 668 | isDoConcurrent); |
| 669 | helper.populateByRefInitAndCleanupRegions(); |
| 670 | |
| 671 | // Often we load moldArg to check something (e.g. length parameters, shape) |
| 672 | // but then those answers can be gotten statically without accessing the |
| 673 | // runtime value and so the only remaining use is a dead load. These loads can |
| 674 | // force us to insert additional barriers and so should be avoided where |
| 675 | // possible. |
| 676 | if (moldArg.hasOneUse()) { |
| 677 | mlir::Operation *user = *moldArg.getUsers().begin(); |
| 678 | if (auto load = mlir::dyn_cast<fir::LoadOp>(user)) |
| 679 | if (load.use_empty()) |
| 680 | load.erase(); |
| 681 | } |
| 682 | } |
| 683 | |