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CodeGen.cpp
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CodeGen.cpp
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//===-- CodeGen.cpp -- bridge to lower to LLVM ----------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// Coding style: https://mlir.llvm.org/getting_started/DeveloperGuide/
//
//===----------------------------------------------------------------------===//
#include "flang/Optimizer/CodeGen/CodeGen.h"
#include "CGOps.h"
#include "flang/Optimizer/Dialect/FIRAttr.h"
#include "flang/Optimizer/Dialect/FIROps.h"
#include "flang/Optimizer/Dialect/FIRType.h"
#include "flang/Optimizer/Support/InternalNames.h"
#include "flang/Optimizer/Support/TypeCode.h"
#include "flang/Optimizer/Support/Utils.h"
#include "flang/Semantics/runtime-type-info.h"
#include "mlir/Conversion/ArithCommon/AttrToLLVMConverter.h"
#include "mlir/Conversion/ArithToLLVM/ArithToLLVM.h"
#include "mlir/Conversion/ComplexToLLVM/ComplexToLLVM.h"
#include "mlir/Conversion/ComplexToStandard/ComplexToStandard.h"
#include "mlir/Conversion/ControlFlowToLLVM/ControlFlowToLLVM.h"
#include "mlir/Conversion/FuncToLLVM/ConvertFuncToLLVM.h"
#include "mlir/Conversion/LLVMCommon/Pattern.h"
#include "mlir/Conversion/MathToFuncs/MathToFuncs.h"
#include "mlir/Conversion/MathToLLVM/MathToLLVM.h"
#include "mlir/Conversion/MathToLibm/MathToLibm.h"
#include "mlir/Conversion/OpenMPToLLVM/ConvertOpenMPToLLVM.h"
#include "mlir/Conversion/ReconcileUnrealizedCasts/ReconcileUnrealizedCasts.h"
#include "mlir/Conversion/VectorToLLVM/ConvertVectorToLLVM.h"
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
#include "mlir/Dialect/LLVMIR/Transforms/AddComdats.h"
#include "mlir/Dialect/OpenACC/OpenACC.h"
#include "mlir/Dialect/OpenMP/OpenMPDialect.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/Matchers.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Pass/PassManager.h"
#include "mlir/Target/LLVMIR/ModuleTranslation.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/TypeSwitch.h"
#include <mlir/Dialect/LLVMIR/LLVMAttrs.h>
namespace fir {
#define GEN_PASS_DEF_FIRTOLLVMLOWERING
#include "flang/Optimizer/CodeGen/CGPasses.h.inc"
} // namespace fir
#define DEBUG_TYPE "flang-codegen"
// fir::LLVMTypeConverter for converting to LLVM IR dialect types.
#include "flang/Optimizer/CodeGen/TypeConverter.h"
// TODO: This should really be recovered from the specified target.
static constexpr unsigned defaultAlign = 8;
/// `fir.box` attribute values as defined for CFI_attribute_t in
/// flang/ISO_Fortran_binding.h.
static constexpr unsigned kAttrPointer = CFI_attribute_pointer;
static constexpr unsigned kAttrAllocatable = CFI_attribute_allocatable;
static inline mlir::Type getLlvmPtrType(mlir::MLIRContext *context) {
return mlir::LLVM::LLVMPointerType::get(context);
}
static inline mlir::Type getI8Type(mlir::MLIRContext *context) {
return mlir::IntegerType::get(context, 8);
}
static mlir::LLVM::ConstantOp
genConstantIndex(mlir::Location loc, mlir::Type ity,
mlir::ConversionPatternRewriter &rewriter,
std::int64_t offset) {
auto cattr = rewriter.getI64IntegerAttr(offset);
return rewriter.create<mlir::LLVM::ConstantOp>(loc, ity, cattr);
}
static mlir::Block *createBlock(mlir::ConversionPatternRewriter &rewriter,
mlir::Block *insertBefore) {
assert(insertBefore && "expected valid insertion block");
return rewriter.createBlock(insertBefore->getParent(),
mlir::Region::iterator(insertBefore));
}
/// Extract constant from a value if it is a result of one of the
/// ConstantOp operations, otherwise, return std::nullopt.
static std::optional<int64_t> getIfConstantIntValue(mlir::Value val) {
if (!val || !val.dyn_cast<mlir::OpResult>())
return {};
mlir::Operation *defop = val.getDefiningOp();
if (auto constOp = mlir::dyn_cast<mlir::arith::ConstantIntOp>(defop))
return constOp.value();
if (auto llConstOp = mlir::dyn_cast<mlir::LLVM::ConstantOp>(defop))
if (auto attr = llConstOp.getValue().dyn_cast<mlir::IntegerAttr>())
return attr.getValue().getSExtValue();
return {};
}
/// Extract constant from a value that must be the result of one of the
/// ConstantOp operations.
static int64_t getConstantIntValue(mlir::Value val) {
if (auto constVal = getIfConstantIntValue(val))
return *constVal;
fir::emitFatalError(val.getLoc(), "must be a constant");
}
static unsigned getTypeDescFieldId(mlir::Type ty) {
auto isArray = fir::dyn_cast_ptrOrBoxEleTy(ty).isa<fir::SequenceType>();
return isArray ? kOptTypePtrPosInBox : kDimsPosInBox;
}
namespace {
/// FIR conversion pattern template
template <typename FromOp>
class FIROpConversion : public mlir::ConvertOpToLLVMPattern<FromOp> {
public:
explicit FIROpConversion(const fir::LLVMTypeConverter &lowering,
const fir::FIRToLLVMPassOptions &options)
: mlir::ConvertOpToLLVMPattern<FromOp>(lowering), options(options) {}
protected:
mlir::Type convertType(mlir::Type ty) const {
return lowerTy().convertType(ty);
}
// Convert FIR type to LLVM without turning fir.box<T> into memory
// reference.
mlir::Type convertObjectType(mlir::Type firType) const {
if (auto boxTy = firType.dyn_cast<fir::BaseBoxType>())
return lowerTy().convertBoxTypeAsStruct(boxTy);
return lowerTy().convertType(firType);
}
mlir::LLVM::ConstantOp
genI32Constant(mlir::Location loc, mlir::ConversionPatternRewriter &rewriter,
int value) const {
mlir::Type i32Ty = rewriter.getI32Type();
mlir::IntegerAttr attr = rewriter.getI32IntegerAttr(value);
return rewriter.create<mlir::LLVM::ConstantOp>(loc, i32Ty, attr);
}
mlir::LLVM::ConstantOp
genConstantOffset(mlir::Location loc,
mlir::ConversionPatternRewriter &rewriter,
int offset) const {
mlir::Type ity = lowerTy().offsetType();
mlir::IntegerAttr cattr = rewriter.getI32IntegerAttr(offset);
return rewriter.create<mlir::LLVM::ConstantOp>(loc, ity, cattr);
}
/// Perform an extension or truncation as needed on an integer value. Lowering
/// to the specific target may involve some sign-extending or truncation of
/// values, particularly to fit them from abstract box types to the
/// appropriate reified structures.
mlir::Value integerCast(mlir::Location loc,
mlir::ConversionPatternRewriter &rewriter,
mlir::Type ty, mlir::Value val) const {
auto valTy = val.getType();
// If the value was not yet lowered, lower its type so that it can
// be used in getPrimitiveTypeSizeInBits.
if (!valTy.isa<mlir::IntegerType>())
valTy = convertType(valTy);
auto toSize = mlir::LLVM::getPrimitiveTypeSizeInBits(ty);
auto fromSize = mlir::LLVM::getPrimitiveTypeSizeInBits(valTy);
if (toSize < fromSize)
return rewriter.create<mlir::LLVM::TruncOp>(loc, ty, val);
if (toSize > fromSize)
return rewriter.create<mlir::LLVM::SExtOp>(loc, ty, val);
return val;
}
struct TypePair {
mlir::Type fir;
mlir::Type llvm;
};
TypePair getBoxTypePair(mlir::Type firBoxTy) const {
mlir::Type llvmBoxTy = lowerTy().convertBoxTypeAsStruct(
mlir::cast<fir::BaseBoxType>(firBoxTy));
return TypePair{firBoxTy, llvmBoxTy};
}
/// Construct code sequence to extract the specific value from a `fir.box`.
mlir::Value getValueFromBox(mlir::Location loc, TypePair boxTy,
mlir::Value box, mlir::Type resultTy,
mlir::ConversionPatternRewriter &rewriter,
int boxValue) const {
if (box.getType().isa<mlir::LLVM::LLVMPointerType>()) {
auto pty = ::getLlvmPtrType(resultTy.getContext());
auto p = rewriter.create<mlir::LLVM::GEPOp>(
loc, pty, boxTy.llvm, box,
llvm::ArrayRef<mlir::LLVM::GEPArg>{0, boxValue});
auto loadOp = rewriter.create<mlir::LLVM::LoadOp>(loc, resultTy, p);
attachTBAATag(loadOp, boxTy.fir, nullptr, p);
return loadOp;
}
return rewriter.create<mlir::LLVM::ExtractValueOp>(loc, box, boxValue);
}
/// Method to construct code sequence to get the triple for dimension `dim`
/// from a box.
llvm::SmallVector<mlir::Value, 3>
getDimsFromBox(mlir::Location loc, llvm::ArrayRef<mlir::Type> retTys,
TypePair boxTy, mlir::Value box, mlir::Value dim,
mlir::ConversionPatternRewriter &rewriter) const {
mlir::Value l0 =
loadDimFieldFromBox(loc, boxTy, box, dim, 0, retTys[0], rewriter);
mlir::Value l1 =
loadDimFieldFromBox(loc, boxTy, box, dim, 1, retTys[1], rewriter);
mlir::Value l2 =
loadDimFieldFromBox(loc, boxTy, box, dim, 2, retTys[2], rewriter);
return {l0, l1, l2};
}
llvm::SmallVector<mlir::Value, 3>
getDimsFromBox(mlir::Location loc, llvm::ArrayRef<mlir::Type> retTys,
TypePair boxTy, mlir::Value box, int dim,
mlir::ConversionPatternRewriter &rewriter) const {
mlir::Value l0 =
getDimFieldFromBox(loc, boxTy, box, dim, 0, retTys[0], rewriter);
mlir::Value l1 =
getDimFieldFromBox(loc, boxTy, box, dim, 1, retTys[1], rewriter);
mlir::Value l2 =
getDimFieldFromBox(loc, boxTy, box, dim, 2, retTys[2], rewriter);
return {l0, l1, l2};
}
mlir::Value
loadDimFieldFromBox(mlir::Location loc, TypePair boxTy, mlir::Value box,
mlir::Value dim, int off, mlir::Type ty,
mlir::ConversionPatternRewriter &rewriter) const {
assert(box.getType().isa<mlir::LLVM::LLVMPointerType>() &&
"descriptor inquiry with runtime dim can only be done on descriptor "
"in memory");
mlir::LLVM::GEPOp p = genGEP(loc, boxTy.llvm, rewriter, box, 0,
static_cast<int>(kDimsPosInBox), dim, off);
auto loadOp = rewriter.create<mlir::LLVM::LoadOp>(loc, ty, p);
attachTBAATag(loadOp, boxTy.fir, nullptr, p);
return loadOp;
}
mlir::Value
getDimFieldFromBox(mlir::Location loc, TypePair boxTy, mlir::Value box,
int dim, int off, mlir::Type ty,
mlir::ConversionPatternRewriter &rewriter) const {
if (box.getType().isa<mlir::LLVM::LLVMPointerType>()) {
mlir::LLVM::GEPOp p = genGEP(loc, boxTy.llvm, rewriter, box, 0,
static_cast<int>(kDimsPosInBox), dim, off);
auto loadOp = rewriter.create<mlir::LLVM::LoadOp>(loc, ty, p);
attachTBAATag(loadOp, boxTy.fir, nullptr, p);
return loadOp;
}
return rewriter.create<mlir::LLVM::ExtractValueOp>(
loc, box, llvm::ArrayRef<std::int64_t>{kDimsPosInBox, dim, off});
}
mlir::Value
getStrideFromBox(mlir::Location loc, TypePair boxTy, mlir::Value box,
unsigned dim,
mlir::ConversionPatternRewriter &rewriter) const {
auto idxTy = lowerTy().indexType();
return getDimFieldFromBox(loc, boxTy, box, dim, kDimStridePos, idxTy,
rewriter);
}
/// Read base address from a fir.box. Returned address has type ty.
mlir::Value
getBaseAddrFromBox(mlir::Location loc, TypePair boxTy, mlir::Value box,
mlir::ConversionPatternRewriter &rewriter) const {
mlir::Type resultTy = ::getLlvmPtrType(boxTy.llvm.getContext());
return getValueFromBox(loc, boxTy, box, resultTy, rewriter, kAddrPosInBox);
}
mlir::Value
getElementSizeFromBox(mlir::Location loc, mlir::Type resultTy, TypePair boxTy,
mlir::Value box,
mlir::ConversionPatternRewriter &rewriter) const {
return getValueFromBox(loc, boxTy, box, resultTy, rewriter,
kElemLenPosInBox);
}
// Get the element type given an LLVM type that is of the form
// (array|struct|vector)+ and the provided indexes.
static mlir::Type getBoxEleTy(mlir::Type type,
llvm::ArrayRef<std::int64_t> indexes) {
for (unsigned i : indexes) {
if (auto t = type.dyn_cast<mlir::LLVM::LLVMStructType>()) {
assert(!t.isOpaque() && i < t.getBody().size());
type = t.getBody()[i];
} else if (auto t = type.dyn_cast<mlir::LLVM::LLVMArrayType>()) {
type = t.getElementType();
} else if (auto t = type.dyn_cast<mlir::VectorType>()) {
type = t.getElementType();
} else {
fir::emitFatalError(mlir::UnknownLoc::get(type.getContext()),
"request for invalid box element type");
}
}
return type;
}
// Return LLVM type of the object described by a fir.box of \p boxType.
mlir::Type getLlvmObjectTypeFromBoxType(mlir::Type boxType) const {
mlir::Type objectType = fir::dyn_cast_ptrOrBoxEleTy(boxType);
assert(objectType && "boxType must be a box type");
return this->convertType(objectType);
}
/// Read the address of the type descriptor from a box.
mlir::Value
loadTypeDescAddress(mlir::Location loc, TypePair boxTy, mlir::Value box,
mlir::ConversionPatternRewriter &rewriter) const {
unsigned typeDescFieldId = getTypeDescFieldId(boxTy.fir);
mlir::Type tdescType = lowerTy().convertTypeDescType(rewriter.getContext());
return getValueFromBox(loc, boxTy, box, tdescType, rewriter,
typeDescFieldId);
}
// Load the attribute from the \p box and perform a check against \p maskValue
// The final comparison is implemented as `(attribute & maskValue) != 0`.
mlir::Value genBoxAttributeCheck(mlir::Location loc, TypePair boxTy,
mlir::Value box,
mlir::ConversionPatternRewriter &rewriter,
unsigned maskValue) const {
mlir::Type attrTy = rewriter.getI32Type();
mlir::Value attribute =
getValueFromBox(loc, boxTy, box, attrTy, rewriter, kAttributePosInBox);
mlir::LLVM::ConstantOp attrMask =
genConstantOffset(loc, rewriter, maskValue);
auto maskRes =
rewriter.create<mlir::LLVM::AndOp>(loc, attrTy, attribute, attrMask);
mlir::LLVM::ConstantOp c0 = genConstantOffset(loc, rewriter, 0);
return rewriter.create<mlir::LLVM::ICmpOp>(
loc, mlir::LLVM::ICmpPredicate::ne, maskRes, c0);
}
template <typename... ARGS>
mlir::LLVM::GEPOp genGEP(mlir::Location loc, mlir::Type ty,
mlir::ConversionPatternRewriter &rewriter,
mlir::Value base, ARGS... args) const {
llvm::SmallVector<mlir::LLVM::GEPArg> cv = {args...};
auto llvmPtrTy = ::getLlvmPtrType(ty.getContext());
return rewriter.create<mlir::LLVM::GEPOp>(loc, llvmPtrTy, ty, base, cv);
}
// Find the Block in which the alloca should be inserted.
// The order to recursively find the proper block:
// 1. An OpenMP Op that will be outlined.
// 2. A LLVMFuncOp
// 3. The first ancestor that is an OpenMP Op or a LLVMFuncOp
static mlir::Block *getBlockForAllocaInsert(mlir::Operation *op) {
if (auto iface =
mlir::dyn_cast<mlir::omp::OutlineableOpenMPOpInterface>(op))
return iface.getAllocaBlock();
if (auto llvmFuncOp = mlir::dyn_cast<mlir::LLVM::LLVMFuncOp>(op))
return &llvmFuncOp.front();
return getBlockForAllocaInsert(op->getParentOp());
}
// Generate an alloca of size 1 for an object of type \p llvmObjectTy.
mlir::LLVM::AllocaOp
genAllocaWithType(mlir::Location loc, mlir::Type llvmObjectTy,
unsigned alignment,
mlir::ConversionPatternRewriter &rewriter) const {
auto thisPt = rewriter.saveInsertionPoint();
mlir::Operation *parentOp = rewriter.getInsertionBlock()->getParentOp();
mlir::Block *insertBlock = getBlockForAllocaInsert(parentOp);
rewriter.setInsertionPointToStart(insertBlock);
auto size = genI32Constant(loc, rewriter, 1);
mlir::Type llvmPtrTy = ::getLlvmPtrType(llvmObjectTy.getContext());
auto al = rewriter.create<mlir::LLVM::AllocaOp>(
loc, llvmPtrTy, llvmObjectTy, size, alignment);
rewriter.restoreInsertionPoint(thisPt);
return al;
}
const fir::LLVMTypeConverter &lowerTy() const {
return *static_cast<const fir::LLVMTypeConverter *>(
this->getTypeConverter());
}
void attachTBAATag(mlir::LLVM::AliasAnalysisOpInterface op,
mlir::Type baseFIRType, mlir::Type accessFIRType,
mlir::LLVM::GEPOp gep) const {
lowerTy().attachTBAATag(op, baseFIRType, accessFIRType, gep);
}
const fir::FIRToLLVMPassOptions &options;
};
/// FIR conversion pattern template
template <typename FromOp>
class FIROpAndTypeConversion : public FIROpConversion<FromOp> {
public:
using FIROpConversion<FromOp>::FIROpConversion;
using OpAdaptor = typename FromOp::Adaptor;
mlir::LogicalResult
matchAndRewrite(FromOp op, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const final {
mlir::Type ty = this->convertType(op.getType());
return doRewrite(op, ty, adaptor, rewriter);
}
virtual mlir::LogicalResult
doRewrite(FromOp addr, mlir::Type ty, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const = 0;
};
} // namespace
namespace {
/// Lower `fir.address_of` operation to `llvm.address_of` operation.
struct AddrOfOpConversion : public FIROpConversion<fir::AddrOfOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::AddrOfOp addr, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
auto ty = convertType(addr.getType());
rewriter.replaceOpWithNewOp<mlir::LLVM::AddressOfOp>(
addr, ty, addr.getSymbol().getRootReference().getValue());
return mlir::success();
}
};
} // namespace
/// Lookup the function to compute the memory size of this parametric derived
/// type. The size of the object may depend on the LEN type parameters of the
/// derived type.
static mlir::LLVM::LLVMFuncOp
getDependentTypeMemSizeFn(fir::RecordType recTy, fir::AllocaOp op,
mlir::ConversionPatternRewriter &rewriter) {
auto module = op->getParentOfType<mlir::ModuleOp>();
std::string name = recTy.getName().str() + "P.mem.size";
if (auto memSizeFunc = module.lookupSymbol<mlir::LLVM::LLVMFuncOp>(name))
return memSizeFunc;
TODO(op.getLoc(), "did not find allocation function");
}
// Compute the alloc scale size (constant factors encoded in the array type).
// We do this for arrays without a constant interior or arrays of character with
// dynamic length arrays, since those are the only ones that get decayed to a
// pointer to the element type.
template <typename OP>
static mlir::Value
genAllocationScaleSize(OP op, mlir::Type ity,
mlir::ConversionPatternRewriter &rewriter) {
mlir::Location loc = op.getLoc();
mlir::Type dataTy = op.getInType();
auto seqTy = dataTy.dyn_cast<fir::SequenceType>();
fir::SequenceType::Extent constSize = 1;
if (seqTy) {
int constRows = seqTy.getConstantRows();
const fir::SequenceType::ShapeRef &shape = seqTy.getShape();
if (constRows != static_cast<int>(shape.size())) {
for (auto extent : shape) {
if (constRows-- > 0)
continue;
if (extent != fir::SequenceType::getUnknownExtent())
constSize *= extent;
}
}
}
if (constSize != 1) {
mlir::Value constVal{
genConstantIndex(loc, ity, rewriter, constSize).getResult()};
return constVal;
}
return nullptr;
}
namespace {
/// convert to LLVM IR dialect `alloca`
struct AllocaOpConversion : public FIROpConversion<fir::AllocaOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::AllocaOp alloc, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::ValueRange operands = adaptor.getOperands();
auto loc = alloc.getLoc();
mlir::Type ity = lowerTy().indexType();
unsigned i = 0;
mlir::Value size = genConstantIndex(loc, ity, rewriter, 1).getResult();
mlir::Type firObjType = fir::unwrapRefType(alloc.getType());
mlir::Type llvmObjectType = convertObjectType(firObjType);
if (alloc.hasLenParams()) {
unsigned end = alloc.numLenParams();
llvm::SmallVector<mlir::Value> lenParams;
for (; i < end; ++i)
lenParams.push_back(operands[i]);
mlir::Type scalarType = fir::unwrapSequenceType(alloc.getInType());
if (auto chrTy = scalarType.dyn_cast<fir::CharacterType>()) {
fir::CharacterType rawCharTy = fir::CharacterType::getUnknownLen(
chrTy.getContext(), chrTy.getFKind());
llvmObjectType = convertType(rawCharTy);
assert(end == 1);
size = integerCast(loc, rewriter, ity, lenParams[0]);
} else if (auto recTy = scalarType.dyn_cast<fir::RecordType>()) {
mlir::LLVM::LLVMFuncOp memSizeFn =
getDependentTypeMemSizeFn(recTy, alloc, rewriter);
if (!memSizeFn)
emitError(loc, "did not find allocation function");
mlir::NamedAttribute attr = rewriter.getNamedAttr(
"callee", mlir::SymbolRefAttr::get(memSizeFn));
auto call = rewriter.create<mlir::LLVM::CallOp>(
loc, ity, lenParams, llvm::ArrayRef<mlir::NamedAttribute>{attr});
size = call.getResult();
llvmObjectType = ::getI8Type(alloc.getContext());
} else {
return emitError(loc, "unexpected type ")
<< scalarType << " with type parameters";
}
}
if (auto scaleSize = genAllocationScaleSize(alloc, ity, rewriter))
size = rewriter.create<mlir::LLVM::MulOp>(loc, ity, size, scaleSize);
if (alloc.hasShapeOperands()) {
unsigned end = operands.size();
for (; i < end; ++i)
size = rewriter.create<mlir::LLVM::MulOp>(
loc, ity, size, integerCast(loc, rewriter, ity, operands[i]));
}
mlir::Type llvmPtrTy = ::getLlvmPtrType(alloc.getContext());
// NOTE: we used to pass alloc->getAttrs() in the builder for non opaque
// pointers! Only propagate pinned and bindc_name to help debugging, but
// this should have no functional purpose (and passing the operand segment
// attribute like before is certainly bad).
auto llvmAlloc = rewriter.create<mlir::LLVM::AllocaOp>(
loc, llvmPtrTy, llvmObjectType, size);
if (alloc.getPinned())
llvmAlloc->setDiscardableAttr(alloc.getPinnedAttrName(),
alloc.getPinnedAttr());
if (alloc.getBindcName())
llvmAlloc->setDiscardableAttr(alloc.getBindcNameAttrName(),
alloc.getBindcNameAttr());
rewriter.replaceOp(alloc, llvmAlloc);
return mlir::success();
}
};
} // namespace
namespace {
/// Lower `fir.box_addr` to the sequence of operations to extract the first
/// element of the box.
struct BoxAddrOpConversion : public FIROpConversion<fir::BoxAddrOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxAddrOp boxaddr, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value a = adaptor.getOperands()[0];
auto loc = boxaddr.getLoc();
if (auto argty = boxaddr.getVal().getType().dyn_cast<fir::BaseBoxType>()) {
TypePair boxTyPair = getBoxTypePair(argty);
rewriter.replaceOp(boxaddr,
getBaseAddrFromBox(loc, boxTyPair, a, rewriter));
} else {
rewriter.replaceOpWithNewOp<mlir::LLVM::ExtractValueOp>(boxaddr, a, 0);
}
return mlir::success();
}
};
/// Convert `!fir.boxchar_len` to `!llvm.extractvalue` for the 2nd part of the
/// boxchar.
struct BoxCharLenOpConversion : public FIROpConversion<fir::BoxCharLenOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxCharLenOp boxCharLen, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value boxChar = adaptor.getOperands()[0];
mlir::Location loc = boxChar.getLoc();
mlir::Type returnValTy = boxCharLen.getResult().getType();
constexpr int boxcharLenIdx = 1;
auto len = rewriter.create<mlir::LLVM::ExtractValueOp>(loc, boxChar,
boxcharLenIdx);
mlir::Value lenAfterCast = integerCast(loc, rewriter, returnValTy, len);
rewriter.replaceOp(boxCharLen, lenAfterCast);
return mlir::success();
}
};
/// Lower `fir.box_dims` to a sequence of operations to extract the requested
/// dimension information from the boxed value.
/// Result in a triple set of GEPs and loads.
struct BoxDimsOpConversion : public FIROpConversion<fir::BoxDimsOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxDimsOp boxdims, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
llvm::SmallVector<mlir::Type, 3> resultTypes = {
convertType(boxdims.getResult(0).getType()),
convertType(boxdims.getResult(1).getType()),
convertType(boxdims.getResult(2).getType()),
};
TypePair boxTyPair = getBoxTypePair(boxdims.getVal().getType());
auto results = getDimsFromBox(boxdims.getLoc(), resultTypes, boxTyPair,
adaptor.getOperands()[0],
adaptor.getOperands()[1], rewriter);
rewriter.replaceOp(boxdims, results);
return mlir::success();
}
};
/// Lower `fir.box_elesize` to a sequence of operations ro extract the size of
/// an element in the boxed value.
struct BoxEleSizeOpConversion : public FIROpConversion<fir::BoxEleSizeOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxEleSizeOp boxelesz, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value box = adaptor.getOperands()[0];
auto loc = boxelesz.getLoc();
auto ty = convertType(boxelesz.getType());
TypePair boxTyPair = getBoxTypePair(boxelesz.getVal().getType());
auto elemSize = getElementSizeFromBox(loc, ty, boxTyPair, box, rewriter);
rewriter.replaceOp(boxelesz, elemSize);
return mlir::success();
}
};
/// Lower `fir.box_isalloc` to a sequence of operations to determine if the
/// boxed value was from an ALLOCATABLE entity.
struct BoxIsAllocOpConversion : public FIROpConversion<fir::BoxIsAllocOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxIsAllocOp boxisalloc, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value box = adaptor.getOperands()[0];
auto loc = boxisalloc.getLoc();
TypePair boxTyPair = getBoxTypePair(boxisalloc.getVal().getType());
mlir::Value check =
genBoxAttributeCheck(loc, boxTyPair, box, rewriter, kAttrAllocatable);
rewriter.replaceOp(boxisalloc, check);
return mlir::success();
}
};
/// Lower `fir.box_isarray` to a sequence of operations to determine if the
/// boxed is an array.
struct BoxIsArrayOpConversion : public FIROpConversion<fir::BoxIsArrayOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxIsArrayOp boxisarray, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value a = adaptor.getOperands()[0];
auto loc = boxisarray.getLoc();
TypePair boxTyPair = getBoxTypePair(boxisarray.getVal().getType());
auto rank = getValueFromBox(loc, boxTyPair, a, rewriter.getI32Type(),
rewriter, kRankPosInBox);
auto c0 = genConstantOffset(loc, rewriter, 0);
rewriter.replaceOpWithNewOp<mlir::LLVM::ICmpOp>(
boxisarray, mlir::LLVM::ICmpPredicate::ne, rank, c0);
return mlir::success();
}
};
/// Lower `fir.box_isptr` to a sequence of operations to determined if the
/// boxed value was from a POINTER entity.
struct BoxIsPtrOpConversion : public FIROpConversion<fir::BoxIsPtrOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxIsPtrOp boxisptr, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value box = adaptor.getOperands()[0];
auto loc = boxisptr.getLoc();
TypePair boxTyPair = getBoxTypePair(boxisptr.getVal().getType());
mlir::Value check =
genBoxAttributeCheck(loc, boxTyPair, box, rewriter, kAttrPointer);
rewriter.replaceOp(boxisptr, check);
return mlir::success();
}
};
/// Lower `fir.box_rank` to the sequence of operation to extract the rank from
/// the box.
struct BoxRankOpConversion : public FIROpConversion<fir::BoxRankOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxRankOp boxrank, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value a = adaptor.getOperands()[0];
auto loc = boxrank.getLoc();
mlir::Type ty = convertType(boxrank.getType());
TypePair boxTyPair = getBoxTypePair(boxrank.getVal().getType());
auto result =
getValueFromBox(loc, boxTyPair, a, ty, rewriter, kRankPosInBox);
rewriter.replaceOp(boxrank, result);
return mlir::success();
}
};
/// Lower `fir.boxproc_host` operation. Extracts the host pointer from the
/// boxproc.
/// TODO: Part of supporting Fortran 2003 procedure pointers.
struct BoxProcHostOpConversion : public FIROpConversion<fir::BoxProcHostOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxProcHostOp boxprochost, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
TODO(boxprochost.getLoc(), "fir.boxproc_host codegen");
return mlir::failure();
}
};
/// Lower `fir.box_tdesc` to the sequence of operations to extract the type
/// descriptor from the box.
struct BoxTypeDescOpConversion : public FIROpConversion<fir::BoxTypeDescOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxTypeDescOp boxtypedesc, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value box = adaptor.getOperands()[0];
TypePair boxTyPair = getBoxTypePair(boxtypedesc.getBox().getType());
auto typeDescAddr =
loadTypeDescAddress(boxtypedesc.getLoc(), boxTyPair, box, rewriter);
rewriter.replaceOp(boxtypedesc, typeDescAddr);
return mlir::success();
}
};
/// Lower `fir.box_typecode` to a sequence of operations to extract the type
/// code in the boxed value.
struct BoxTypeCodeOpConversion : public FIROpConversion<fir::BoxTypeCodeOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::BoxTypeCodeOp op, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Value box = adaptor.getOperands()[0];
auto loc = box.getLoc();
auto ty = convertType(op.getType());
TypePair boxTyPair = getBoxTypePair(op.getBox().getType());
auto typeCode =
getValueFromBox(loc, boxTyPair, box, ty, rewriter, kTypePosInBox);
rewriter.replaceOp(op, typeCode);
return mlir::success();
}
};
/// Lower `fir.string_lit` to LLVM IR dialect operation.
struct StringLitOpConversion : public FIROpConversion<fir::StringLitOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::StringLitOp constop, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
auto ty = convertType(constop.getType());
auto attr = constop.getValue();
if (attr.isa<mlir::StringAttr>()) {
rewriter.replaceOpWithNewOp<mlir::LLVM::ConstantOp>(constop, ty, attr);
return mlir::success();
}
auto charTy = constop.getType().cast<fir::CharacterType>();
unsigned bits = lowerTy().characterBitsize(charTy);
mlir::Type intTy = rewriter.getIntegerType(bits);
mlir::Location loc = constop.getLoc();
mlir::Value cst = rewriter.create<mlir::LLVM::UndefOp>(loc, ty);
if (auto arr = attr.dyn_cast<mlir::DenseElementsAttr>()) {
cst = rewriter.create<mlir::LLVM::ConstantOp>(loc, ty, arr);
} else if (auto arr = attr.dyn_cast<mlir::ArrayAttr>()) {
for (auto a : llvm::enumerate(arr.getValue())) {
// convert each character to a precise bitsize
auto elemAttr = mlir::IntegerAttr::get(
intTy,
a.value().cast<mlir::IntegerAttr>().getValue().zextOrTrunc(bits));
auto elemCst =
rewriter.create<mlir::LLVM::ConstantOp>(loc, intTy, elemAttr);
cst = rewriter.create<mlir::LLVM::InsertValueOp>(loc, cst, elemCst,
a.index());
}
} else {
return mlir::failure();
}
rewriter.replaceOp(constop, cst);
return mlir::success();
}
};
/// `fir.call` -> `llvm.call`
struct CallOpConversion : public FIROpConversion<fir::CallOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::CallOp call, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
llvm::SmallVector<mlir::Type> resultTys;
for (auto r : call.getResults())
resultTys.push_back(convertType(r.getType()));
// Convert arith::FastMathFlagsAttr to LLVM::FastMathFlagsAttr.
mlir::arith::AttrConvertFastMathToLLVM<fir::CallOp, mlir::LLVM::CallOp>
attrConvert(call);
rewriter.replaceOpWithNewOp<mlir::LLVM::CallOp>(
call, resultTys, adaptor.getOperands(), attrConvert.getAttrs());
return mlir::success();
}
};
} // namespace
static mlir::Type getComplexEleTy(mlir::Type complex) {
if (auto cc = complex.dyn_cast<mlir::ComplexType>())
return cc.getElementType();
return complex.cast<fir::ComplexType>().getElementType();
}
namespace {
/// Compare complex values
///
/// Per 10.1, the only comparisons available are .EQ. (oeq) and .NE. (une).
///
/// For completeness, all other comparison are done on the real component only.
struct CmpcOpConversion : public FIROpConversion<fir::CmpcOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::CmpcOp cmp, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::ValueRange operands = adaptor.getOperands();
mlir::Type resTy = convertType(cmp.getType());
mlir::Location loc = cmp.getLoc();
mlir::LLVM::FastmathFlags fmf =
mlir::arith::convertArithFastMathFlagsToLLVM(cmp.getFastmath());
mlir::LLVM::FCmpPredicate pred =
static_cast<mlir::LLVM::FCmpPredicate>(cmp.getPredicate());
auto rcp = rewriter.create<mlir::LLVM::FCmpOp>(
loc, resTy, pred,
rewriter.create<mlir::LLVM::ExtractValueOp>(loc, operands[0], 0),
rewriter.create<mlir::LLVM::ExtractValueOp>(loc, operands[1], 0), fmf);
auto icp = rewriter.create<mlir::LLVM::FCmpOp>(
loc, resTy, pred,
rewriter.create<mlir::LLVM::ExtractValueOp>(loc, operands[0], 1),
rewriter.create<mlir::LLVM::ExtractValueOp>(loc, operands[1], 1), fmf);
llvm::SmallVector<mlir::Value, 2> cp = {rcp, icp};
switch (cmp.getPredicate()) {
case mlir::arith::CmpFPredicate::OEQ: // .EQ.
rewriter.replaceOpWithNewOp<mlir::LLVM::AndOp>(cmp, resTy, cp);
break;
case mlir::arith::CmpFPredicate::UNE: // .NE.
rewriter.replaceOpWithNewOp<mlir::LLVM::OrOp>(cmp, resTy, cp);
break;
default:
rewriter.replaceOp(cmp, rcp.getResult());
break;
}
return mlir::success();
}
};
/// Lower complex constants
struct ConstcOpConversion : public FIROpConversion<fir::ConstcOp> {
using FIROpConversion::FIROpConversion;
mlir::LogicalResult
matchAndRewrite(fir::ConstcOp conc, OpAdaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
mlir::Location loc = conc.getLoc();
mlir::Type ty = convertType(conc.getType());
mlir::Type ety = convertType(getComplexEleTy(conc.getType()));
auto realPart = rewriter.create<mlir::LLVM::ConstantOp>(
loc, ety, getValue(conc.getReal()));
auto imPart = rewriter.create<mlir::LLVM::ConstantOp>(
loc, ety, getValue(conc.getImaginary()));
auto undef = rewriter.create<mlir::LLVM::UndefOp>(loc, ty);
auto setReal =
rewriter.create<mlir::LLVM::InsertValueOp>(loc, undef, realPart, 0);
rewriter.replaceOpWithNewOp<mlir::LLVM::InsertValueOp>(conc, setReal,
imPart, 1);
return mlir::success();
}
inline llvm::APFloat getValue(mlir::Attribute attr) const {
return attr.cast<fir::RealAttr>().getValue();
}
};
/// convert value of from-type to value of to-type
struct ConvertOpConversion : public FIROpConversion<fir::ConvertOp> {
using FIROpConversion::FIROpConversion;
static bool isFloatingPointTy(mlir::Type ty) {
return ty.isa<mlir::FloatType>();
}
mlir::LogicalResult
matchAndRewrite(fir::ConvertOp convert, OpAdaptor adaptor,
mlir::ConversionPatternRewriter &rewriter) const override {
auto fromFirTy = convert.getValue().getType();
auto toFirTy = convert.getRes().getType();
auto fromTy = convertType(fromFirTy);
auto toTy = convertType(toFirTy);
mlir::Value op0 = adaptor.getOperands()[0];
if (fromFirTy == toFirTy) {
rewriter.replaceOp(convert, op0);
return mlir::success();
}
auto loc = convert.getLoc();
auto i1Type = mlir::IntegerType::get(convert.getContext(), 1);
if (fromFirTy.isa<fir::LogicalType>() || toFirTy.isa<fir::LogicalType>()) {
// By specification fir::LogicalType value may be any number,
// where non-zero value represents .true. and zero value represents
// .false.
//
// integer<->logical conversion requires value normalization.
// Conversion from wide logical to narrow logical must set the result
// to non-zero iff the input is non-zero - the easiest way to implement
// it is to compare the input agains zero and set the result to
// the canonical 0/1.
// Conversion from narrow logical to wide logical may be implemented
// as a zero or sign extension of the input, but it may use value
// normalization as well.
if (!fromTy.isa<mlir::IntegerType>() || !toTy.isa<mlir::IntegerType>())
return mlir::emitError(loc)
<< "unsupported types for logical conversion: " << fromTy
<< " -> " << toTy;
// Do folding for constant inputs.
if (auto constVal = getIfConstantIntValue(op0)) {
mlir::Value normVal =
genConstantIndex(loc, toTy, rewriter, *constVal ? 1 : 0);
rewriter.replaceOp(convert, normVal);
return mlir::success();
}
// If the input is i1, then we can just zero extend it, and
// the result will be normalized.
if (fromTy == i1Type) {
rewriter.replaceOpWithNewOp<mlir::LLVM::ZExtOp>(convert, toTy, op0);
return mlir::success();
}
// Compare the input with zero.
mlir::Value zero = genConstantIndex(loc, fromTy, rewriter, 0);
auto isTrue = rewriter.create<mlir::LLVM::ICmpOp>(
loc, mlir::LLVM::ICmpPredicate::ne, op0, zero);
// Zero extend the i1 isTrue result to the required type (unless it is i1
// itself).
if (toTy != i1Type)
rewriter.replaceOpWithNewOp<mlir::LLVM::ZExtOp>(convert, toTy, isTrue);
else
rewriter.replaceOp(convert, isTrue.getResult());
return mlir::success();
}
if (fromTy == toTy) {
rewriter.replaceOp(convert, op0);
return mlir::success();
}
auto convertFpToFp = [&](mlir::Value val, unsigned fromBits,
unsigned toBits, mlir::Type toTy) -> mlir::Value {
if (fromBits == toBits) {
// TODO: Converting between two floating-point representations with the
// same bitwidth is not allowed for now.
mlir::emitError(loc,
"cannot implicitly convert between two floating-point "
"representations of the same bitwidth");
return {};
}
if (fromBits > toBits)
return rewriter.create<mlir::LLVM::FPTruncOp>(loc, toTy, val);
return rewriter.create<mlir::LLVM::FPExtOp>(loc, toTy, val);
};
// Complex to complex conversion.
if (fir::isa_complex(fromFirTy) && fir::isa_complex(toFirTy)) {
// Special case: handle the conversion of a complex such that both the
// real and imaginary parts are converted together.
auto ty = convertType(getComplexEleTy(convert.getValue().getType()));
auto rp = rewriter.create<mlir::LLVM::ExtractValueOp>(loc, op0, 0);
auto ip = rewriter.create<mlir::LLVM::ExtractValueOp>(loc, op0, 1);
auto nt = convertType(getComplexEleTy(convert.getRes().getType()));
auto fromBits = mlir::LLVM::getPrimitiveTypeSizeInBits(ty);
auto toBits = mlir::LLVM::getPrimitiveTypeSizeInBits(nt);
auto rc = convertFpToFp(rp, fromBits, toBits, nt);
auto ic = convertFpToFp(ip, fromBits, toBits, nt);