Files
clang-p2996/flang/lib/Evaluate/intrinsics-library.cpp
Peter Steinfeld 478e0b5860 [flang] Quadmath 128 bit floating point intrinsics
This update allows constant folding for many 128 bit floating point intrinsics
through the library quadmath, which is only available on some platforms.

Differential Revision: https://reviews.llvm.org/D156435
2023-07-31 11:12:29 -07:00

660 lines
27 KiB
C++

//===-- lib/Evaluate/intrinsics-library.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
//
//===----------------------------------------------------------------------===//
// This file defines host runtime functions that can be used for folding
// intrinsic functions.
// The default host runtime folders are built with <cmath> and
// <complex> functions that are guaranteed to exist from the C++ standard.
#include "flang/Evaluate/intrinsics-library.h"
#include "fold-implementation.h"
#include "host.h"
#include "flang/Common/static-multimap-view.h"
#include "flang/Evaluate/expression.h"
#include <cfloat>
#include <cmath>
#include <complex>
#include <functional>
#if HAS_QUADMATHLIB
#include "quadmath.h"
#include "flang/Common/float128.h"
#endif
#include <type_traits>
namespace Fortran::evaluate {
// Define a vector like class that can hold an arbitrary number of
// Dynamic type and be built at compile time. This is like a
// std::vector<DynamicType>, but constexpr only.
template <typename... FortranType> struct TypeVectorStorage {
static constexpr DynamicType values[]{FortranType{}.GetType()...};
static constexpr const DynamicType *start{&values[0]};
static constexpr const DynamicType *end{start + sizeof...(FortranType)};
};
template <> struct TypeVectorStorage<> {
static constexpr const DynamicType *start{nullptr}, *end{nullptr};
};
struct TypeVector {
template <typename... FortranType> static constexpr TypeVector Create() {
using storage = TypeVectorStorage<FortranType...>;
return TypeVector{storage::start, storage::end, sizeof...(FortranType)};
}
constexpr size_t size() const { return size_; };
using const_iterator = const DynamicType *;
constexpr const_iterator begin() const { return startPtr; }
constexpr const_iterator end() const { return endPtr; }
const DynamicType &operator[](size_t i) const { return *(startPtr + i); }
const DynamicType *startPtr{nullptr};
const DynamicType *endPtr{nullptr};
const size_t size_;
};
inline bool operator==(
const TypeVector &lhs, const std::vector<DynamicType> &rhs) {
if (lhs.size() != rhs.size()) {
return false;
}
for (size_t i{0}; i < lhs.size(); ++i) {
if (lhs[i] != rhs[i]) {
return false;
}
}
return true;
}
// HostRuntimeFunction holds a pointer to a Folder function that can fold
// a Fortran scalar intrinsic using host runtime functions (e.g libm).
// The folder take care of all conversions between Fortran types and the related
// host types as well as setting and cleaning-up the floating point environment.
// HostRuntimeFunction are intended to be built at compile time (members are all
// constexpr constructible) so that they can be stored in a compile time static
// map.
struct HostRuntimeFunction {
using Folder = Expr<SomeType> (*)(
FoldingContext &, std::vector<Expr<SomeType>> &&);
using Key = std::string_view;
// Needed for implicit compare with keys.
constexpr operator Key() const { return key; }
// Name of the related Fortran intrinsic.
Key key;
// DynamicType of the Expr<SomeType> returns by folder.
DynamicType resultType;
// DynamicTypes expected for the Expr<SomeType> arguments of the folder.
// The folder will crash if provided arguments of different types.
TypeVector argumentTypes;
// Folder to be called to fold the intrinsic with host runtime. The provided
// Expr<SomeType> arguments must wrap scalar constants of the type described
// in argumentTypes, otherwise folder will crash. Any floating point issue
// raised while executing the host runtime will be reported in FoldingContext
// messages.
Folder folder;
};
// Translate a host function type signature (template arguments) into a
// constexpr data representation based on Fortran DynamicType that can be
// stored.
template <typename TR, typename... TA> using FuncPointer = TR (*)(TA...);
template <typename T> struct FuncTypeAnalyzer {};
template <typename HostTR, typename... HostTA>
struct FuncTypeAnalyzer<FuncPointer<HostTR, HostTA...>> {
static constexpr DynamicType result{host::FortranType<HostTR>{}.GetType()};
static constexpr TypeVector arguments{
TypeVector::Create<host::FortranType<HostTA>...>()};
};
// Define helpers to deal with host floating environment.
template <typename TR>
static void CheckFloatingPointIssues(
host::HostFloatingPointEnvironment &hostFPE, const Scalar<TR> &x) {
if constexpr (TR::category == TypeCategory::Complex ||
TR::category == TypeCategory::Real) {
if (x.IsNotANumber()) {
hostFPE.SetFlag(RealFlag::InvalidArgument);
} else if (x.IsInfinite()) {
hostFPE.SetFlag(RealFlag::Overflow);
}
}
}
// Software Subnormal Flushing helper.
// Only flush floating-points. Forward other scalars untouched.
// Software flushing is only performed if hardware flushing is not available
// because it may not result in the same behavior as hardware flushing.
// Some runtime implementations are "working around" subnormal flushing to
// return results that they deem better than returning the result they would
// with a null argument. An example is logf that should return -inf if arguments
// are flushed to zero, but some implementations return -1.03972076416015625e2_4
// for all subnormal values instead. It is impossible to reproduce this with the
// simple software flushing below.
template <typename T>
static constexpr inline const Scalar<T> FlushSubnormals(Scalar<T> &&x) {
if constexpr (T::category == TypeCategory::Real ||
T::category == TypeCategory::Complex) {
return x.FlushSubnormalToZero();
}
return x;
}
// This is the kernel called by all HostRuntimeFunction folders, it convert the
// Fortran Expr<SomeType> to the host runtime function argument types, calls
// the runtime function, and wrap back the result into an Expr<SomeType>.
// It deals with host floating point environment set-up and clean-up.
template <typename FuncType, typename TR, typename... TA, size_t... I>
static Expr<SomeType> ApplyHostFunctionHelper(FuncType func,
FoldingContext &context, std::vector<Expr<SomeType>> &&args,
std::index_sequence<I...>) {
host::HostFloatingPointEnvironment hostFPE;
hostFPE.SetUpHostFloatingPointEnvironment(context);
host::HostType<TR> hostResult{};
Scalar<TR> result{};
std::tuple<Scalar<TA>...> scalarArgs{
GetScalarConstantValue<TA>(args[I]).value()...};
if (context.targetCharacteristics().areSubnormalsFlushedToZero() &&
!hostFPE.hasSubnormalFlushingHardwareControl()) {
hostResult = func(host::CastFortranToHost<TA>(
FlushSubnormals<TA>(std::move(std::get<I>(scalarArgs))))...);
result = FlushSubnormals<TR>(host::CastHostToFortran<TR>(hostResult));
} else {
hostResult = func(host::CastFortranToHost<TA>(std::get<I>(scalarArgs))...);
result = host::CastHostToFortran<TR>(hostResult);
}
if (!hostFPE.hardwareFlagsAreReliable()) {
CheckFloatingPointIssues<TR>(hostFPE, result);
}
hostFPE.CheckAndRestoreFloatingPointEnvironment(context);
return AsGenericExpr(Constant<TR>(std::move(result)));
}
template <typename HostTR, typename... HostTA>
Expr<SomeType> ApplyHostFunction(FuncPointer<HostTR, HostTA...> func,
FoldingContext &context, std::vector<Expr<SomeType>> &&args) {
return ApplyHostFunctionHelper<decltype(func), host::FortranType<HostTR>,
host::FortranType<HostTA>...>(
func, context, std::move(args), std::index_sequence_for<HostTA...>{});
}
// FolderFactory builds a HostRuntimeFunction for the host runtime function
// passed as a template argument.
// Its static member function "fold" is the resulting folder. It captures the
// host runtime function pointer and pass it to the host runtime function folder
// kernel.
template <typename HostFuncType, HostFuncType func> class FolderFactory {
public:
static constexpr HostRuntimeFunction Create(const std::string_view &name) {
return HostRuntimeFunction{name, FuncTypeAnalyzer<HostFuncType>::result,
FuncTypeAnalyzer<HostFuncType>::arguments, &Fold};
}
private:
static Expr<SomeType> Fold(
FoldingContext &context, std::vector<Expr<SomeType>> &&args) {
return ApplyHostFunction(func, context, std::move(args));
}
};
// Define host runtime libraries that can be used for folding and
// fill their description if they are available.
enum class LibraryVersion {
Libm,
LibmExtensions,
PgmathFast,
PgmathRelaxed,
PgmathPrecise
};
template <typename HostT, LibraryVersion> struct HostRuntimeLibrary {
// When specialized, this class holds a static constexpr table containing
// all the HostRuntimeLibrary for functions of library LibraryVersion
// that returns a value of type HostT.
};
using HostRuntimeMap = common::StaticMultimapView<HostRuntimeFunction>;
// Map numerical intrinsic to <cmath>/<complex> functions
// (Note: ABS() is folded in fold-real.cpp.)
template <typename HostT>
struct HostRuntimeLibrary<HostT, LibraryVersion::Libm> {
using F = FuncPointer<HostT, HostT>;
using F2 = FuncPointer<HostT, HostT, HostT>;
static constexpr HostRuntimeFunction table[]{
FolderFactory<F, F{std::acos}>::Create("acos"),
FolderFactory<F, F{std::acosh}>::Create("acosh"),
FolderFactory<F, F{std::asin}>::Create("asin"),
FolderFactory<F, F{std::asinh}>::Create("asinh"),
FolderFactory<F, F{std::atan}>::Create("atan"),
FolderFactory<F2, F2{std::atan2}>::Create("atan2"),
FolderFactory<F, F{std::atanh}>::Create("atanh"),
FolderFactory<F, F{std::cos}>::Create("cos"),
FolderFactory<F, F{std::cosh}>::Create("cosh"),
FolderFactory<F, F{std::erf}>::Create("erf"),
FolderFactory<F, F{std::erfc}>::Create("erfc"),
FolderFactory<F, F{std::exp}>::Create("exp"),
FolderFactory<F, F{std::tgamma}>::Create("gamma"),
FolderFactory<F, F{std::log}>::Create("log"),
FolderFactory<F, F{std::log10}>::Create("log10"),
FolderFactory<F, F{std::lgamma}>::Create("log_gamma"),
FolderFactory<F2, F2{std::pow}>::Create("pow"),
FolderFactory<F, F{std::sin}>::Create("sin"),
FolderFactory<F, F{std::sinh}>::Create("sinh"),
FolderFactory<F, F{std::tan}>::Create("tan"),
FolderFactory<F, F{std::tanh}>::Create("tanh"),
};
// Note: cmath does not have modulo and erfc_scaled equivalent
// Note regarding lack of bessel function support:
// C++17 defined standard Bessel math functions std::cyl_bessel_j
// and std::cyl_neumann that can be used for Fortran j and y
// bessel functions. However, they are not yet implemented in
// clang libc++ (ok in GNU libstdc++). C maths functions j0...
// are not C standard but a GNU extension so they are not used
// to avoid introducing incompatibilities.
// Use libpgmath to get bessel function folding support.
// TODO: Add Bessel functions when possible.
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
template <typename HostT>
struct HostRuntimeLibrary<std::complex<HostT>, LibraryVersion::Libm> {
using F = FuncPointer<std::complex<HostT>, const std::complex<HostT> &>;
using F2 = FuncPointer<std::complex<HostT>, const std::complex<HostT> &,
const std::complex<HostT> &>;
using F2A = FuncPointer<std::complex<HostT>, const HostT &,
const std::complex<HostT> &>;
using F2B = FuncPointer<std::complex<HostT>, const std::complex<HostT> &,
const HostT &>;
static constexpr HostRuntimeFunction table[]{
FolderFactory<F, F{std::acos}>::Create("acos"),
FolderFactory<F, F{std::acosh}>::Create("acosh"),
FolderFactory<F, F{std::asin}>::Create("asin"),
FolderFactory<F, F{std::asinh}>::Create("asinh"),
FolderFactory<F, F{std::atan}>::Create("atan"),
FolderFactory<F, F{std::atanh}>::Create("atanh"),
FolderFactory<F, F{std::cos}>::Create("cos"),
FolderFactory<F, F{std::cosh}>::Create("cosh"),
FolderFactory<F, F{std::exp}>::Create("exp"),
FolderFactory<F, F{std::log}>::Create("log"),
FolderFactory<F2, F2{std::pow}>::Create("pow"),
FolderFactory<F2A, F2A{std::pow}>::Create("pow"),
FolderFactory<F2B, F2B{std::pow}>::Create("pow"),
FolderFactory<F, F{std::sin}>::Create("sin"),
FolderFactory<F, F{std::sinh}>::Create("sinh"),
FolderFactory<F, F{std::sqrt}>::Create("sqrt"),
FolderFactory<F, F{std::tan}>::Create("tan"),
FolderFactory<F, F{std::tanh}>::Create("tanh"),
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
// Note regarding cmath:
// - cmath does not have modulo and erfc_scaled equivalent
// - C++17 defined standard Bessel math functions std::cyl_bessel_j
// and std::cyl_neumann that can be used for Fortran j and y
// bessel functions. However, they are not yet implemented in
// clang libc++ (ok in GNU libstdc++). Instead, the Posix libm
// extensions are used when available below.
#if _POSIX_C_SOURCE >= 200112L || _XOPEN_SOURCE >= 600
/// Define libm extensions
/// Bessel functions are defined in POSIX.1-2001.
// Remove float bessel functions for AIX as they are not supported
#ifndef _AIX
template <> struct HostRuntimeLibrary<float, LibraryVersion::LibmExtensions> {
using F = FuncPointer<float, float>;
using FN = FuncPointer<float, int, float>;
static constexpr HostRuntimeFunction table[]{
FolderFactory<F, F{::j0f}>::Create("bessel_j0"),
FolderFactory<F, F{::j1f}>::Create("bessel_j1"),
FolderFactory<FN, FN{::jnf}>::Create("bessel_jn"),
FolderFactory<F, F{::y0f}>::Create("bessel_y0"),
FolderFactory<F, F{::y1f}>::Create("bessel_y1"),
FolderFactory<FN, FN{::ynf}>::Create("bessel_yn"),
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
#endif
#if HAS_QUADMATHLIB
template <> struct HostRuntimeLibrary<__float128, LibraryVersion::Libm> {
using F = FuncPointer<__float128, __float128>;
using F2 = FuncPointer<__float128, __float128, __float128>;
static constexpr HostRuntimeFunction table[]{
FolderFactory<F, F{::acosq}>::Create("acos"),
FolderFactory<F, F{::acoshq}>::Create("acosh"),
FolderFactory<F, F{::asinq}>::Create("asin"),
FolderFactory<F, F{::asinhq}>::Create("asinh"),
FolderFactory<F, F{::atanq}>::Create("atan"),
FolderFactory<F2, F2{::atan2q}>::Create("atan2"),
FolderFactory<F, F{::atanhq}>::Create("atanh"),
FolderFactory<F, F{::cosq}>::Create("cos"),
FolderFactory<F, F{::coshq}>::Create("cosh"),
FolderFactory<F, F{::erfq}>::Create("erf"),
FolderFactory<F, F{::erfcq}>::Create("erfc"),
FolderFactory<F, F{::expq}>::Create("exp"),
FolderFactory<F, F{::tgammaq}>::Create("gamma"),
FolderFactory<F, F{::logq}>::Create("log"),
FolderFactory<F, F{::log10q}>::Create("log10"),
FolderFactory<F, F{::lgammaq}>::Create("log_gamma"),
FolderFactory<F2, F2{::powq}>::Create("pow"),
FolderFactory<F, F{::sinq}>::Create("sin"),
FolderFactory<F, F{::sinhq}>::Create("sinh"),
FolderFactory<F, F{::tanq}>::Create("tan"),
FolderFactory<F, F{::tanhq}>::Create("tanh"),
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
template <> struct HostRuntimeLibrary<__complex128, LibraryVersion::Libm> {
using F = FuncPointer<__complex128, __complex128>;
using F2 = FuncPointer<__complex128, __complex128, __complex128>;
static constexpr HostRuntimeFunction table[]{
FolderFactory<F, F{::cacosq}>::Create("acos"),
FolderFactory<F, F{::cacoshq}>::Create("acosh"),
FolderFactory<F, F{::casinq}>::Create("asin"),
FolderFactory<F, F{::casinhq}>::Create("asinh"),
FolderFactory<F, F{::catanq}>::Create("atan"),
FolderFactory<F, F{::catanhq}>::Create("atanh"),
FolderFactory<F, F{::ccosq}>::Create("cos"),
FolderFactory<F, F{::ccoshq}>::Create("cosh"),
FolderFactory<F, F{::cexpq}>::Create("exp"),
FolderFactory<F, F{::clogq}>::Create("log"),
FolderFactory<F2, F2{::cpowq}>::Create("pow"),
FolderFactory<F, F{::csinq}>::Create("sin"),
FolderFactory<F, F{::csinhq}>::Create("sinh"),
FolderFactory<F, F{::csqrtq}>::Create("sqrt"),
FolderFactory<F, F{::ctanq}>::Create("tan"),
FolderFactory<F, F{::ctanhq}>::Create("tanh"),
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
#endif
template <> struct HostRuntimeLibrary<double, LibraryVersion::LibmExtensions> {
using F = FuncPointer<double, double>;
using FN = FuncPointer<double, int, double>;
static constexpr HostRuntimeFunction table[]{
FolderFactory<F, F{::j0}>::Create("bessel_j0"),
FolderFactory<F, F{::j1}>::Create("bessel_j1"),
FolderFactory<FN, FN{::jn}>::Create("bessel_jn"),
FolderFactory<F, F{::y0}>::Create("bessel_y0"),
FolderFactory<F, F{::y1}>::Create("bessel_y1"),
FolderFactory<FN, FN{::yn}>::Create("bessel_yn"),
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
#if LDBL_MANT_DIG == 80 || LDBL_MANT_DIG == 113
template <>
struct HostRuntimeLibrary<long double, LibraryVersion::LibmExtensions> {
using F = FuncPointer<long double, long double>;
using FN = FuncPointer<long double, int, long double>;
static constexpr HostRuntimeFunction table[]{
FolderFactory<F, F{::j0l}>::Create("bessel_j0"),
FolderFactory<F, F{::j1l}>::Create("bessel_j1"),
FolderFactory<FN, FN{::jnl}>::Create("bessel_jn"),
FolderFactory<F, F{::y0l}>::Create("bessel_y0"),
FolderFactory<F, F{::y1l}>::Create("bessel_y1"),
FolderFactory<FN, FN{::ynl}>::Create("bessel_yn"),
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
#endif // LDBL_MANT_DIG == 80 || LDBL_MANT_DIG == 113
#endif //_POSIX_C_SOURCE >= 200112L || _XOPEN_SOURCE >= 600
/// Define pgmath description
#if LINK_WITH_LIBPGMATH
// Only use libpgmath for folding if it is available.
// First declare all libpgmaths functions
#define PGMATH_LINKING
#define PGMATH_DECLARE
#include "flang/Evaluate/pgmath.h.inc"
#define REAL_FOLDER(name, func) \
FolderFactory<decltype(&func), &func>::Create(#name)
template <> struct HostRuntimeLibrary<float, LibraryVersion::PgmathFast> {
static constexpr HostRuntimeFunction table[]{
#define PGMATH_FAST
#define PGMATH_USE_S(name, func) REAL_FOLDER(name, func),
#include "flang/Evaluate/pgmath.h.inc"
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
template <> struct HostRuntimeLibrary<double, LibraryVersion::PgmathFast> {
static constexpr HostRuntimeFunction table[]{
#define PGMATH_FAST
#define PGMATH_USE_D(name, func) REAL_FOLDER(name, func),
#include "flang/Evaluate/pgmath.h.inc"
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
template <> struct HostRuntimeLibrary<float, LibraryVersion::PgmathRelaxed> {
static constexpr HostRuntimeFunction table[]{
#define PGMATH_RELAXED
#define PGMATH_USE_S(name, func) REAL_FOLDER(name, func),
#include "flang/Evaluate/pgmath.h.inc"
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
template <> struct HostRuntimeLibrary<double, LibraryVersion::PgmathRelaxed> {
static constexpr HostRuntimeFunction table[]{
#define PGMATH_RELAXED
#define PGMATH_USE_D(name, func) REAL_FOLDER(name, func),
#include "flang/Evaluate/pgmath.h.inc"
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
template <> struct HostRuntimeLibrary<float, LibraryVersion::PgmathPrecise> {
static constexpr HostRuntimeFunction table[]{
#define PGMATH_PRECISE
#define PGMATH_USE_S(name, func) REAL_FOLDER(name, func),
#include "flang/Evaluate/pgmath.h.inc"
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
template <> struct HostRuntimeLibrary<double, LibraryVersion::PgmathPrecise> {
static constexpr HostRuntimeFunction table[]{
#define PGMATH_PRECISE
#define PGMATH_USE_D(name, func) REAL_FOLDER(name, func),
#include "flang/Evaluate/pgmath.h.inc"
};
static constexpr HostRuntimeMap map{table};
static_assert(map.Verify(), "map must be sorted");
};
// TODO: double _Complex/float _Complex have been removed from llvm flang
// pgmath.h.inc because they caused warnings, they need to be added back
// so that the complex pgmath versions can be used when requested.
#endif /* LINK_WITH_LIBPGMATH */
// Helper to check if a HostRuntimeLibrary specialization exists
template <typename T, typename = void> struct IsAvailable : std::false_type {};
template <typename T>
struct IsAvailable<T, decltype((void)T::table, void())> : std::true_type {};
// Define helpers to find host runtime library map according to desired version
// and type.
template <typename HostT, LibraryVersion version>
static const HostRuntimeMap *GetHostRuntimeMapHelper(
[[maybe_unused]] DynamicType resultType) {
// A library must only be instantiated if LibraryVersion is
// available on the host and if HostT maps to a Fortran type.
// For instance, whenever long double and double are both 64-bits, double
// is mapped to Fortran 64bits real type, and long double will be left
// unmapped.
if constexpr (host::FortranTypeExists<HostT>()) {
using Lib = HostRuntimeLibrary<HostT, version>;
if constexpr (IsAvailable<Lib>::value) {
if (host::FortranType<HostT>{}.GetType() == resultType) {
return &Lib::map;
}
}
}
return nullptr;
}
template <LibraryVersion version>
static const HostRuntimeMap *GetHostRuntimeMapVersion(DynamicType resultType) {
if (resultType.category() == TypeCategory::Real) {
if (const auto *map{GetHostRuntimeMapHelper<float, version>(resultType)}) {
return map;
}
if (const auto *map{GetHostRuntimeMapHelper<double, version>(resultType)}) {
return map;
}
if (const auto *map{
GetHostRuntimeMapHelper<long double, version>(resultType)}) {
return map;
}
#if HAS_QUADMATHLIB
if (const auto *map{
GetHostRuntimeMapHelper<__float128, version>(resultType)}) {
return map;
}
#endif
}
if (resultType.category() == TypeCategory::Complex) {
if (const auto *map{GetHostRuntimeMapHelper<std::complex<float>, version>(
resultType)}) {
return map;
}
if (const auto *map{GetHostRuntimeMapHelper<std::complex<double>, version>(
resultType)}) {
return map;
}
if (const auto *map{
GetHostRuntimeMapHelper<std::complex<long double>, version>(
resultType)}) {
return map;
}
#if HAS_QUADMATHLIB
if (const auto *map{
GetHostRuntimeMapHelper<__complex128, version>(resultType)}) {
return map;
}
#endif
}
return nullptr;
}
static const HostRuntimeMap *GetHostRuntimeMap(
LibraryVersion version, DynamicType resultType) {
switch (version) {
case LibraryVersion::Libm:
return GetHostRuntimeMapVersion<LibraryVersion::Libm>(resultType);
case LibraryVersion::LibmExtensions:
return GetHostRuntimeMapVersion<LibraryVersion::LibmExtensions>(resultType);
case LibraryVersion::PgmathPrecise:
return GetHostRuntimeMapVersion<LibraryVersion::PgmathPrecise>(resultType);
case LibraryVersion::PgmathRelaxed:
return GetHostRuntimeMapVersion<LibraryVersion::PgmathRelaxed>(resultType);
case LibraryVersion::PgmathFast:
return GetHostRuntimeMapVersion<LibraryVersion::PgmathFast>(resultType);
}
return nullptr;
}
static const HostRuntimeFunction *SearchInHostRuntimeMap(
const HostRuntimeMap &map, const std::string &name, DynamicType resultType,
const std::vector<DynamicType> &argTypes) {
auto sameNameRange{map.equal_range(name)};
for (const auto *iter{sameNameRange.first}; iter != sameNameRange.second;
++iter) {
if (iter->resultType == resultType && iter->argumentTypes == argTypes) {
return &*iter;
}
}
return nullptr;
}
// Search host runtime libraries for an exact type match.
static const HostRuntimeFunction *SearchHostRuntime(const std::string &name,
DynamicType resultType, const std::vector<DynamicType> &argTypes) {
// TODO: When command line options regarding targeted numerical library is
// available, this needs to be revisited to take it into account. So far,
// default to libpgmath if F18 is built with it.
#if LINK_WITH_LIBPGMATH
if (const auto *map{
GetHostRuntimeMap(LibraryVersion::PgmathPrecise, resultType)}) {
if (const auto *hostFunction{
SearchInHostRuntimeMap(*map, name, resultType, argTypes)}) {
return hostFunction;
}
}
// Default to libm if functions or types are not available in pgmath.
#endif
if (const auto *map{GetHostRuntimeMap(LibraryVersion::Libm, resultType)}) {
if (const auto *hostFunction{
SearchInHostRuntimeMap(*map, name, resultType, argTypes)}) {
return hostFunction;
}
}
if (const auto *map{
GetHostRuntimeMap(LibraryVersion::LibmExtensions, resultType)}) {
if (const auto *hostFunction{
SearchInHostRuntimeMap(*map, name, resultType, argTypes)}) {
return hostFunction;
}
}
return nullptr;
}
// Return a DynamicType that can hold all values of a given type.
// This is used to allow 16bit float to be folded with 32bits and
// x87 float to be folded with IEEE 128bits.
static DynamicType BiggerType(DynamicType type) {
if (type.category() == TypeCategory::Real ||
type.category() == TypeCategory::Complex) {
// 16 bits floats to IEEE 32 bits float
if (type.kind() == common::RealKindForPrecision(11) ||
type.kind() == common::RealKindForPrecision(8)) {
return {type.category(), common::RealKindForPrecision(24)};
}
// x87 float to IEEE 128 bits float
if (type.kind() == common::RealKindForPrecision(64)) {
return {type.category(), common::RealKindForPrecision(113)};
}
}
return type;
}
std::optional<HostRuntimeWrapper> GetHostRuntimeWrapper(const std::string &name,
DynamicType resultType, const std::vector<DynamicType> &argTypes) {
if (const auto *hostFunction{SearchHostRuntime(name, resultType, argTypes)}) {
return hostFunction->folder;
}
// If no exact match, search with "bigger" types and insert type
// conversions around the folder.
std::vector<evaluate::DynamicType> biggerArgTypes;
evaluate::DynamicType biggerResultType{BiggerType(resultType)};
for (auto type : argTypes) {
biggerArgTypes.emplace_back(BiggerType(type));
}
if (const auto *hostFunction{
SearchHostRuntime(name, biggerResultType, biggerArgTypes)}) {
return [hostFunction, resultType](
FoldingContext &context, std::vector<Expr<SomeType>> &&args) {
auto nArgs{args.size()};
for (size_t i{0}; i < nArgs; ++i) {
args[i] = Fold(context,
ConvertToType(hostFunction->argumentTypes[i], std::move(args[i]))
.value());
}
return Fold(context,
ConvertToType(
resultType, hostFunction->folder(context, std::move(args)))
.value());
};
}
return std::nullopt;
}
} // namespace Fortran::evaluate