//===-- IntrinsicCall.cpp -------------------------------------------------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// // // Helper routines for constructing the FIR dialect of MLIR. As FIR is a // dialect of MLIR, it makes extensive use of MLIR interfaces and MLIR's coding // style (https://mlir.llvm.org/getting_started/DeveloperGuide/) is used in this // module. // //===----------------------------------------------------------------------===// #include "flang/Lower/IntrinsicCall.h" #include "flang/Common/static-multimap-view.h" #include "flang/Lower/StatementContext.h" #include "flang/Lower/SymbolMap.h" #include "flang/Lower/Todo.h" #include "flang/Optimizer/Builder/Complex.h" #include "flang/Optimizer/Builder/FIRBuilder.h" #include "flang/Optimizer/Builder/MutableBox.h" #include "flang/Optimizer/Builder/Runtime/RTBuilder.h" #include "flang/Optimizer/Support/FatalError.h" #include "llvm/Support/CommandLine.h" #define DEBUG_TYPE "flang-lower-intrinsic" #define PGMATH_DECLARE #include "flang/Evaluate/pgmath.h.inc" /// Enums used to templatize and share lowering of MIN and MAX. enum class Extremum { Min, Max }; // There are different ways to deal with NaNs in MIN and MAX. // Known existing behaviors are listed below and can be selected for // f18 MIN/MAX implementation. enum class ExtremumBehavior { // Note: the Signaling/quiet aspect of NaNs in the behaviors below are // not described because there is no way to control/observe such aspect in // MLIR/LLVM yet. The IEEE behaviors come with requirements regarding this // aspect that are therefore currently not enforced. In the descriptions // below, NaNs can be signaling or quite. Returned NaNs may be signaling // if one of the input NaN was signaling but it cannot be guaranteed either. // Existing compilers using an IEEE behavior (gfortran) also do not fulfill // signaling/quiet requirements. IeeeMinMaximumNumber, // IEEE minimumNumber/maximumNumber behavior (754-2019, section 9.6): // If one of the argument is and number and the other is NaN, return the // number. If both arguements are NaN, return NaN. // Compilers: gfortran. IeeeMinMaximum, // IEEE minimum/maximum behavior (754-2019, section 9.6): // If one of the argument is NaN, return NaN. MinMaxss, // x86 minss/maxss behavior: // If the second argument is a number and the other is NaN, return the number. // In all other cases where at least one operand is NaN, return NaN. // Compilers: xlf (only for MAX), ifort, pgfortran -nollvm, and nagfor. PgfortranLlvm, // "Opposite of" x86 minss/maxss behavior: // If the first argument is a number and the other is NaN, return the // number. // In all other cases where at least one operand is NaN, return NaN. // Compilers: xlf (only for MIN), and pgfortran (with llvm). IeeeMinMaxNum // IEEE minNum/maxNum behavior (754-2008, section 5.3.1): // TODO: Not implemented. // It is the only behavior where the signaling/quiet aspect of a NaN argument // impacts if the result should be NaN or the argument that is a number. // LLVM/MLIR do not provide ways to observe this aspect, so it is not // possible to implement it without some target dependent runtime. }; /// This file implements lowering of Fortran intrinsic procedures. /// Intrinsics are lowered to a mix of FIR and MLIR operations as /// well as call to runtime functions or LLVM intrinsics. /// Lowering of intrinsic procedure calls is based on a map that associates /// Fortran intrinsic generic names to FIR generator functions. /// All generator functions are member functions of the IntrinsicLibrary class /// and have the same interface. /// If no generator is given for an intrinsic name, a math runtime library /// is searched for an implementation and, if a runtime function is found, /// a call is generated for it. LLVM intrinsics are handled as a math /// runtime library here. fir::ExtendedValue Fortran::lower::getAbsentIntrinsicArgument() { return fir::UnboxedValue{}; } // TODO error handling -> return a code or directly emit messages ? struct IntrinsicLibrary { // Constructors. explicit IntrinsicLibrary(fir::FirOpBuilder &builder, mlir::Location loc) : builder{builder}, loc{loc} {} IntrinsicLibrary() = delete; IntrinsicLibrary(const IntrinsicLibrary &) = delete; /// Generate FIR for call to Fortran intrinsic \p name with arguments \p arg /// and expected result type \p resultType. fir::ExtendedValue genIntrinsicCall(llvm::StringRef name, llvm::Optional resultType, llvm::ArrayRef arg); /// Search a runtime function that is associated to the generic intrinsic name /// and whose signature matches the intrinsic arguments and result types. /// If no such runtime function is found but a runtime function associated /// with the Fortran generic exists and has the same number of arguments, /// conversions will be inserted before and/or after the call. This is to /// mainly to allow 16 bits float support even-though little or no math /// runtime is currently available for it. mlir::Value genRuntimeCall(llvm::StringRef name, mlir::Type, llvm::ArrayRef); using RuntimeCallGenerator = std::function)>; RuntimeCallGenerator getRuntimeCallGenerator(llvm::StringRef name, mlir::FunctionType soughtFuncType); /// Lowering for the ABS intrinsic. The ABS intrinsic expects one argument in /// the llvm::ArrayRef. The ABS intrinsic is lowered into MLIR/FIR operation /// if the argument is an integer, into llvm intrinsics if the argument is /// real and to the `hypot` math routine if the argument is of complex type. mlir::Value genAbs(mlir::Type, llvm::ArrayRef); template mlir::Value genExtremum(mlir::Type, llvm::ArrayRef); /// Lowering for the IAND intrinsic. The IAND intrinsic expects two arguments /// in the llvm::ArrayRef. mlir::Value genIand(mlir::Type, llvm::ArrayRef); /// Define the different FIR generators that can be mapped to intrinsic to /// generate the related code. The intrinsic is lowered into an MLIR /// arith::AndIOp. using ElementalGenerator = decltype(&IntrinsicLibrary::genAbs); using Generator = std::variant; /// Generate calls to ElementalGenerator, handling the elemental aspects template fir::ExtendedValue genElementalCall(GeneratorType, llvm::StringRef name, mlir::Type resultType, llvm::ArrayRef args, bool outline); /// Helper to invoke code generator for the intrinsics given arguments. mlir::Value invokeGenerator(ElementalGenerator generator, mlir::Type resultType, llvm::ArrayRef args); mlir::Value invokeGenerator(RuntimeCallGenerator generator, mlir::Type resultType, llvm::ArrayRef args); fir::FirOpBuilder &builder; mlir::Location loc; }; struct IntrinsicDummyArgument { const char *name = nullptr; Fortran::lower::LowerIntrinsicArgAs lowerAs = Fortran::lower::LowerIntrinsicArgAs::Value; bool handleDynamicOptional = false; }; struct Fortran::lower::IntrinsicArgumentLoweringRules { /// There is no more than 7 non repeated arguments in Fortran intrinsics. IntrinsicDummyArgument args[7]; constexpr bool hasDefaultRules() const { return args[0].name == nullptr; } }; /// Structure describing what needs to be done to lower intrinsic "name". struct IntrinsicHandler { const char *name; IntrinsicLibrary::Generator generator; Fortran::lower::IntrinsicArgumentLoweringRules argLoweringRules = {}; }; using I = IntrinsicLibrary; /// Table that drives the fir generation depending on the intrinsic. /// one to one mapping with Fortran arguments. If no mapping is /// defined here for a generic intrinsic, genRuntimeCall will be called /// to look for a match in the runtime a emit a call. Note that the argument /// lowering rules for an intrinsic need to be provided only if at least one /// argument must not be lowered by value. In which case, the lowering rules /// should be provided for all the intrinsic arguments for completeness. static constexpr IntrinsicHandler handlers[]{ {"abs", &I::genAbs}, {"iand", &I::genIand}, }; static const IntrinsicHandler *findIntrinsicHandler(llvm::StringRef name) { auto compare = [](const IntrinsicHandler &handler, llvm::StringRef name) { return name.compare(handler.name) > 0; }; auto result = std::lower_bound(std::begin(handlers), std::end(handlers), name, compare); return result != std::end(handlers) && result->name == name ? result : nullptr; } //===----------------------------------------------------------------------===// // Math runtime description and matching utility //===----------------------------------------------------------------------===// /// Command line option to modify math runtime version used to implement /// intrinsics. enum MathRuntimeVersion { fastVersion, llvmOnly }; llvm::cl::opt mathRuntimeVersion( "math-runtime", llvm::cl::desc("Select math runtime version:"), llvm::cl::values( clEnumValN(fastVersion, "fast", "use pgmath fast runtime"), clEnumValN(llvmOnly, "llvm", "only use LLVM intrinsics (may be incomplete)")), llvm::cl::init(fastVersion)); struct RuntimeFunction { // llvm::StringRef comparison operator are not constexpr, so use string_view. using Key = std::string_view; // Needed for implicit compare with keys. constexpr operator Key() const { return key; } Key key; // intrinsic name llvm::StringRef symbol; fir::runtime::FuncTypeBuilderFunc typeGenerator; }; #define RUNTIME_STATIC_DESCRIPTION(name, func) \ {#name, #func, fir::runtime::RuntimeTableKey::getTypeModel()}, static constexpr RuntimeFunction pgmathFast[] = { #define PGMATH_FAST #define PGMATH_USE_ALL_TYPES(name, func) RUNTIME_STATIC_DESCRIPTION(name, func) #include "flang/Evaluate/pgmath.h.inc" }; static mlir::FunctionType genF32F32FuncType(mlir::MLIRContext *context) { mlir::Type t = mlir::FloatType::getF32(context); return mlir::FunctionType::get(context, {t}, {t}); } static mlir::FunctionType genF64F64FuncType(mlir::MLIRContext *context) { mlir::Type t = mlir::FloatType::getF64(context); return mlir::FunctionType::get(context, {t}, {t}); } static mlir::FunctionType genF32F32F32FuncType(mlir::MLIRContext *context) { auto t = mlir::FloatType::getF32(context); return mlir::FunctionType::get(context, {t, t}, {t}); } static mlir::FunctionType genF64F64F64FuncType(mlir::MLIRContext *context) { auto t = mlir::FloatType::getF64(context); return mlir::FunctionType::get(context, {t, t}, {t}); } // TODO : Fill-up this table with more intrinsic. // Note: These are also defined as operations in LLVM dialect. See if this // can be use and has advantages. static constexpr RuntimeFunction llvmIntrinsics[] = { {"abs", "llvm.fabs.f32", genF32F32FuncType}, {"abs", "llvm.fabs.f64", genF64F64FuncType}, {"pow", "llvm.pow.f32", genF32F32F32FuncType}, {"pow", "llvm.pow.f64", genF64F64F64FuncType}, }; // This helper class computes a "distance" between two function types. // The distance measures how many narrowing conversions of actual arguments // and result of "from" must be made in order to use "to" instead of "from". // For instance, the distance between ACOS(REAL(10)) and ACOS(REAL(8)) is // greater than the one between ACOS(REAL(10)) and ACOS(REAL(16)). This means // if no implementation of ACOS(REAL(10)) is available, it is better to use // ACOS(REAL(16)) with casts rather than ACOS(REAL(8)). // Note that this is not a symmetric distance and the order of "from" and "to" // arguments matters, d(foo, bar) may not be the same as d(bar, foo) because it // may be safe to replace foo by bar, but not the opposite. class FunctionDistance { public: FunctionDistance() : infinite{true} {} FunctionDistance(mlir::FunctionType from, mlir::FunctionType to) { unsigned nInputs = from.getNumInputs(); unsigned nResults = from.getNumResults(); if (nResults != to.getNumResults() || nInputs != to.getNumInputs()) { infinite = true; } else { for (decltype(nInputs) i = 0; i < nInputs && !infinite; ++i) addArgumentDistance(from.getInput(i), to.getInput(i)); for (decltype(nResults) i = 0; i < nResults && !infinite; ++i) addResultDistance(to.getResult(i), from.getResult(i)); } } /// Beware both d1.isSmallerThan(d2) *and* d2.isSmallerThan(d1) may be /// false if both d1 and d2 are infinite. This implies that /// d1.isSmallerThan(d2) is not equivalent to !d2.isSmallerThan(d1) bool isSmallerThan(const FunctionDistance &d) const { return !infinite && (d.infinite || std::lexicographical_compare( conversions.begin(), conversions.end(), d.conversions.begin(), d.conversions.end())); } bool isLosingPrecision() const { return conversions[narrowingArg] != 0 || conversions[extendingResult] != 0; } bool isInfinite() const { return infinite; } private: enum class Conversion { Forbidden, None, Narrow, Extend }; void addArgumentDistance(mlir::Type from, mlir::Type to) { switch (conversionBetweenTypes(from, to)) { case Conversion::Forbidden: infinite = true; break; case Conversion::None: break; case Conversion::Narrow: conversions[narrowingArg]++; break; case Conversion::Extend: conversions[nonNarrowingArg]++; break; } } void addResultDistance(mlir::Type from, mlir::Type to) { switch (conversionBetweenTypes(from, to)) { case Conversion::Forbidden: infinite = true; break; case Conversion::None: break; case Conversion::Narrow: conversions[nonExtendingResult]++; break; case Conversion::Extend: conversions[extendingResult]++; break; } } // Floating point can be mlir::FloatType or fir::real static unsigned getFloatingPointWidth(mlir::Type t) { if (auto f{t.dyn_cast()}) return f.getWidth(); // FIXME: Get width another way for fir.real/complex // - use fir/KindMapping.h and llvm::Type // - or use evaluate/type.h if (auto r{t.dyn_cast()}) return r.getFKind() * 4; if (auto cplx{t.dyn_cast()}) return cplx.getFKind() * 4; llvm_unreachable("not a floating-point type"); } static Conversion conversionBetweenTypes(mlir::Type from, mlir::Type to) { if (from == to) return Conversion::None; if (auto fromIntTy{from.dyn_cast()}) { if (auto toIntTy{to.dyn_cast()}) { return fromIntTy.getWidth() > toIntTy.getWidth() ? Conversion::Narrow : Conversion::Extend; } } if (fir::isa_real(from) && fir::isa_real(to)) { return getFloatingPointWidth(from) > getFloatingPointWidth(to) ? Conversion::Narrow : Conversion::Extend; } if (auto fromCplxTy{from.dyn_cast()}) { if (auto toCplxTy{to.dyn_cast()}) { return getFloatingPointWidth(fromCplxTy) > getFloatingPointWidth(toCplxTy) ? Conversion::Narrow : Conversion::Extend; } } // Notes: // - No conversion between character types, specialization of runtime // functions should be made instead. // - It is not clear there is a use case for automatic conversions // around Logical and it may damage hidden information in the physical // storage so do not do it. return Conversion::Forbidden; } // Below are indexes to access data in conversions. // The order in data does matter for lexicographical_compare enum { narrowingArg = 0, // usually bad extendingResult, // usually bad nonExtendingResult, // usually ok nonNarrowingArg, // usually ok dataSize }; std::array conversions = {}; bool infinite = false; // When forbidden conversion or wrong argument number }; /// Build mlir::FuncOp from runtime symbol description and add /// fir.runtime attribute. static mlir::FuncOp getFuncOp(mlir::Location loc, fir::FirOpBuilder &builder, const RuntimeFunction &runtime) { mlir::FuncOp function = builder.addNamedFunction( loc, runtime.symbol, runtime.typeGenerator(builder.getContext())); function->setAttr("fir.runtime", builder.getUnitAttr()); return function; } /// Select runtime function that has the smallest distance to the intrinsic /// function type and that will not imply narrowing arguments or extending the /// result. /// If nothing is found, the mlir::FuncOp will contain a nullptr. mlir::FuncOp searchFunctionInLibrary( mlir::Location loc, fir::FirOpBuilder &builder, const Fortran::common::StaticMultimapView &lib, llvm::StringRef name, mlir::FunctionType funcType, const RuntimeFunction **bestNearMatch, FunctionDistance &bestMatchDistance) { std::pair range = lib.equal_range(name); for (auto iter = range.first; iter != range.second && iter; ++iter) { const RuntimeFunction &impl = *iter; mlir::FunctionType implType = impl.typeGenerator(builder.getContext()); if (funcType == implType) return getFuncOp(loc, builder, impl); // exact match FunctionDistance distance(funcType, implType); if (distance.isSmallerThan(bestMatchDistance)) { *bestNearMatch = &impl; bestMatchDistance = std::move(distance); } } return {}; } /// Search runtime for the best runtime function given an intrinsic name /// and interface. The interface may not be a perfect match in which case /// the caller is responsible to insert argument and return value conversions. /// If nothing is found, the mlir::FuncOp will contain a nullptr. static mlir::FuncOp getRuntimeFunction(mlir::Location loc, fir::FirOpBuilder &builder, llvm::StringRef name, mlir::FunctionType funcType) { const RuntimeFunction *bestNearMatch = nullptr; FunctionDistance bestMatchDistance{}; mlir::FuncOp match; using RtMap = Fortran::common::StaticMultimapView; static constexpr RtMap pgmathF(pgmathFast); static_assert(pgmathF.Verify() && "map must be sorted"); if (mathRuntimeVersion == fastVersion) { match = searchFunctionInLibrary(loc, builder, pgmathF, name, funcType, &bestNearMatch, bestMatchDistance); } else { assert(mathRuntimeVersion == llvmOnly && "unknown math runtime"); } if (match) return match; // Go through llvm intrinsics if not exact match in libpgmath or if // mathRuntimeVersion == llvmOnly static constexpr RtMap llvmIntr(llvmIntrinsics); static_assert(llvmIntr.Verify() && "map must be sorted"); if (mlir::FuncOp exactMatch = searchFunctionInLibrary(loc, builder, llvmIntr, name, funcType, &bestNearMatch, bestMatchDistance)) return exactMatch; if (bestNearMatch != nullptr) { if (bestMatchDistance.isLosingPrecision()) { // Using this runtime version requires narrowing the arguments // or extending the result. It is not numerically safe. There // is currently no quad math library that was described in // lowering and could be used here. Emit an error and continue // generating the code with the narrowing cast so that the user // can get a complete list of the problematic intrinsic calls. std::string message("TODO: no math runtime available for '"); llvm::raw_string_ostream sstream(message); if (name == "pow") { assert(funcType.getNumInputs() == 2 && "power operator has two arguments"); sstream << funcType.getInput(0) << " ** " << funcType.getInput(1); } else { sstream << name << "("; if (funcType.getNumInputs() > 0) sstream << funcType.getInput(0); for (mlir::Type argType : funcType.getInputs().drop_front()) sstream << ", " << argType; sstream << ")"; } sstream << "'"; mlir::emitError(loc, message); } return getFuncOp(loc, builder, *bestNearMatch); } return {}; } /// Helpers to get function type from arguments and result type. static mlir::FunctionType getFunctionType(llvm::Optional resultType, llvm::ArrayRef arguments, fir::FirOpBuilder &builder) { llvm::SmallVector argTypes; for (mlir::Value arg : arguments) argTypes.push_back(arg.getType()); llvm::SmallVector resTypes; if (resultType) resTypes.push_back(*resultType); return mlir::FunctionType::get(builder.getModule().getContext(), argTypes, resTypes); } //===----------------------------------------------------------------------===// // IntrinsicLibrary //===----------------------------------------------------------------------===// template fir::ExtendedValue IntrinsicLibrary::genElementalCall( GeneratorType generator, llvm::StringRef name, mlir::Type resultType, llvm::ArrayRef args, bool outline) { llvm::SmallVector scalarArgs; for (const fir::ExtendedValue &arg : args) if (arg.getUnboxed() || arg.getCharBox()) scalarArgs.emplace_back(fir::getBase(arg)); else fir::emitFatalError(loc, "nonscalar intrinsic argument"); return invokeGenerator(generator, resultType, scalarArgs); } static fir::ExtendedValue invokeHandler(IntrinsicLibrary::ElementalGenerator generator, const IntrinsicHandler &handler, llvm::Optional resultType, llvm::ArrayRef args, bool outline, IntrinsicLibrary &lib) { assert(resultType && "expect elemental intrinsic to be functions"); return lib.genElementalCall(generator, handler.name, *resultType, args, outline); } fir::ExtendedValue IntrinsicLibrary::genIntrinsicCall(llvm::StringRef name, llvm::Optional resultType, llvm::ArrayRef args) { if (const IntrinsicHandler *handler = findIntrinsicHandler(name)) { bool outline = false; return std::visit( [&](auto &generator) -> fir::ExtendedValue { return invokeHandler(generator, *handler, resultType, args, outline, *this); }, handler->generator); } TODO(loc, "genIntrinsicCall runtime"); return {}; } mlir::Value IntrinsicLibrary::invokeGenerator(ElementalGenerator generator, mlir::Type resultType, llvm::ArrayRef args) { return std::invoke(generator, *this, resultType, args); } mlir::Value IntrinsicLibrary::invokeGenerator(RuntimeCallGenerator generator, mlir::Type resultType, llvm::ArrayRef args) { return generator(builder, loc, args); } IntrinsicLibrary::RuntimeCallGenerator IntrinsicLibrary::getRuntimeCallGenerator(llvm::StringRef name, mlir::FunctionType soughtFuncType) { mlir::FuncOp funcOp = getRuntimeFunction(loc, builder, name, soughtFuncType); if (!funcOp) { mlir::emitError(loc, "TODO: missing intrinsic lowering: " + llvm::Twine(name)); llvm::errs() << "requested type was: " << soughtFuncType << "\n"; exit(1); } mlir::FunctionType actualFuncType = funcOp.getType(); assert(actualFuncType.getNumResults() == soughtFuncType.getNumResults() && actualFuncType.getNumInputs() == soughtFuncType.getNumInputs() && actualFuncType.getNumResults() == 1 && "Bad intrinsic match"); return [funcOp, actualFuncType, soughtFuncType](fir::FirOpBuilder &builder, mlir::Location loc, llvm::ArrayRef args) { llvm::SmallVector convertedArguments; for (auto [fst, snd] : llvm::zip(actualFuncType.getInputs(), args)) convertedArguments.push_back(builder.createConvert(loc, fst, snd)); auto call = builder.create(loc, funcOp, convertedArguments); mlir::Type soughtType = soughtFuncType.getResult(0); return builder.createConvert(loc, soughtType, call.getResult(0)); }; } //===----------------------------------------------------------------------===// // Code generators for the intrinsic //===----------------------------------------------------------------------===// mlir::Value IntrinsicLibrary::genRuntimeCall(llvm::StringRef name, mlir::Type resultType, llvm::ArrayRef args) { mlir::FunctionType soughtFuncType = getFunctionType(resultType, args, builder); return getRuntimeCallGenerator(name, soughtFuncType)(builder, loc, args); } // ABS mlir::Value IntrinsicLibrary::genAbs(mlir::Type resultType, llvm::ArrayRef args) { assert(args.size() == 1); mlir::Value arg = args[0]; mlir::Type type = arg.getType(); if (fir::isa_real(type)) { // Runtime call to fp abs. An alternative would be to use mlir // math::AbsFOp but it does not support all fir floating point types. return genRuntimeCall("abs", resultType, args); } if (auto intType = type.dyn_cast()) { // At the time of this implementation there is no abs op in mlir. // So, implement abs here without branching. mlir::Value shift = builder.createIntegerConstant(loc, intType, intType.getWidth() - 1); auto mask = builder.create(loc, arg, shift); auto xored = builder.create(loc, arg, mask); return builder.create(loc, xored, mask); } if (fir::isa_complex(type)) { // Use HYPOT to fulfill the no underflow/overflow requirement. auto parts = fir::factory::Complex{builder, loc}.extractParts(arg); llvm::SmallVector args = {parts.first, parts.second}; return genRuntimeCall("hypot", resultType, args); } llvm_unreachable("unexpected type in ABS argument"); } // IAND mlir::Value IntrinsicLibrary::genIand(mlir::Type resultType, llvm::ArrayRef args) { assert(args.size() == 2); return builder.create(loc, args[0], args[1]); } // Compare two FIR values and return boolean result as i1. template static mlir::Value createExtremumCompare(mlir::Location loc, fir::FirOpBuilder &builder, mlir::Value left, mlir::Value right) { static constexpr mlir::arith::CmpIPredicate integerPredicate = extremum == Extremum::Max ? mlir::arith::CmpIPredicate::sgt : mlir::arith::CmpIPredicate::slt; static constexpr mlir::arith::CmpFPredicate orderedCmp = extremum == Extremum::Max ? mlir::arith::CmpFPredicate::OGT : mlir::arith::CmpFPredicate::OLT; mlir::Type type = left.getType(); mlir::Value result; if (fir::isa_real(type)) { // Note: the signaling/quit aspect of the result required by IEEE // cannot currently be obtained with LLVM without ad-hoc runtime. if constexpr (behavior == ExtremumBehavior::IeeeMinMaximumNumber) { // Return the number if one of the inputs is NaN and the other is // a number. auto leftIsResult = builder.create(loc, orderedCmp, left, right); auto rightIsNan = builder.create( loc, mlir::arith::CmpFPredicate::UNE, right, right); result = builder.create(loc, leftIsResult, rightIsNan); } else if constexpr (behavior == ExtremumBehavior::IeeeMinMaximum) { // Always return NaNs if one the input is NaNs auto leftIsResult = builder.create(loc, orderedCmp, left, right); auto leftIsNan = builder.create( loc, mlir::arith::CmpFPredicate::UNE, left, left); result = builder.create(loc, leftIsResult, leftIsNan); } else if constexpr (behavior == ExtremumBehavior::MinMaxss) { // If the left is a NaN, return the right whatever it is. result = builder.create(loc, orderedCmp, left, right); } else if constexpr (behavior == ExtremumBehavior::PgfortranLlvm) { // If one of the operand is a NaN, return left whatever it is. static constexpr auto unorderedCmp = extremum == Extremum::Max ? mlir::arith::CmpFPredicate::UGT : mlir::arith::CmpFPredicate::ULT; result = builder.create(loc, unorderedCmp, left, right); } else { // TODO: ieeeMinNum/ieeeMaxNum static_assert(behavior == ExtremumBehavior::IeeeMinMaxNum, "ieeeMinNum/ieeeMaxNum behavior not implemented"); } } else if (fir::isa_integer(type)) { result = builder.create(loc, integerPredicate, left, right); } else if (fir::isa_char(type)) { // TODO: ! character min and max is tricky because the result // length is the length of the longest argument! // So we may need a temp. TODO(loc, "CHARACTER min and max"); } assert(result && "result must be defined"); return result; } // MIN and MAX template mlir::Value IntrinsicLibrary::genExtremum(mlir::Type, llvm::ArrayRef args) { assert(args.size() >= 1); mlir::Value result = args[0]; for (auto arg : args.drop_front()) { mlir::Value mask = createExtremumCompare(loc, builder, result, arg); result = builder.create(loc, mask, result, arg); } return result; } //===----------------------------------------------------------------------===// // Argument lowering rules interface //===----------------------------------------------------------------------===// const Fortran::lower::IntrinsicArgumentLoweringRules * Fortran::lower::getIntrinsicArgumentLowering(llvm::StringRef intrinsicName) { if (const IntrinsicHandler *handler = findIntrinsicHandler(intrinsicName)) if (!handler->argLoweringRules.hasDefaultRules()) return &handler->argLoweringRules; return nullptr; } /// Return how argument \p argName should be lowered given the rules for the /// intrinsic function. Fortran::lower::ArgLoweringRule Fortran::lower::lowerIntrinsicArgumentAs( mlir::Location loc, const IntrinsicArgumentLoweringRules &rules, llvm::StringRef argName) { for (const IntrinsicDummyArgument &arg : rules.args) { if (arg.name && arg.name == argName) return {arg.lowerAs, arg.handleDynamicOptional}; } fir::emitFatalError( loc, "internal: unknown intrinsic argument name in lowering '" + argName + "'"); } //===----------------------------------------------------------------------===// // Public intrinsic call helpers //===----------------------------------------------------------------------===// fir::ExtendedValue Fortran::lower::genIntrinsicCall(fir::FirOpBuilder &builder, mlir::Location loc, llvm::StringRef name, llvm::Optional resultType, llvm::ArrayRef args) { return IntrinsicLibrary{builder, loc}.genIntrinsicCall(name, resultType, args); } mlir::Value Fortran::lower::genMax(fir::FirOpBuilder &builder, mlir::Location loc, llvm::ArrayRef args) { assert(args.size() > 0 && "max requires at least one argument"); return IntrinsicLibrary{builder, loc} .genExtremum(args[0].getType(), args); } mlir::Value Fortran::lower::genPow(fir::FirOpBuilder &builder, mlir::Location loc, mlir::Type type, mlir::Value x, mlir::Value y) { return IntrinsicLibrary{builder, loc}.genRuntimeCall("pow", type, {x, y}); }