Files
clang-p2996/flang/lib/Optimizer/HLFIR/IR/HLFIRDialect.cpp
Christian Sigg fac349a169 Reapply "[mlir] Mark isa/dyn_cast/cast/... member functions depreca… (#90406)
…ted. (#89998)" (#90250)

This partially reverts commit 7aedd7dc75.

This change removes calls to the deprecated member functions. It does
not mark the functions deprecated yet and does not disable the
deprecation warning in TypeSwitch. This seems to cause problems with
MSVC.
2024-04-28 22:01:42 +02:00

218 lines
6.9 KiB
C++

//===-- HLFIRDialect.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
//
//===----------------------------------------------------------------------===//
//
// Coding style: https://mlir.llvm.org/getting_started/DeveloperGuide/
//
//===----------------------------------------------------------------------===//
#include "flang/Optimizer/HLFIR/HLFIRDialect.h"
#include "flang/Optimizer/Dialect/FIROps.h"
#include "flang/Optimizer/Dialect/FIRType.h"
#include "flang/Optimizer/HLFIR/HLFIROps.h"
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/DialectImplementation.h"
#include "mlir/IR/Matchers.h"
#include "mlir/IR/OpImplementation.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/TypeSwitch.h"
#include "flang/Optimizer/HLFIR/HLFIRDialect.cpp.inc"
#define GET_TYPEDEF_CLASSES
#include "flang/Optimizer/HLFIR/HLFIRTypes.cpp.inc"
#define GET_ATTRDEF_CLASSES
#include "flang/Optimizer/HLFIR/HLFIRAttributes.cpp.inc"
void hlfir::hlfirDialect::initialize() {
addTypes<
#define GET_TYPEDEF_LIST
#include "flang/Optimizer/HLFIR/HLFIRTypes.cpp.inc"
>();
addOperations<
#define GET_OP_LIST
#include "flang/Optimizer/HLFIR/HLFIROps.cpp.inc"
>();
}
// `expr` `<` `*` | bounds (`x` bounds)* `:` type [`?`] `>`
// bounds ::= `?` | int-lit
mlir::Type hlfir::ExprType::parse(mlir::AsmParser &parser) {
if (parser.parseLess())
return {};
ExprType::Shape shape;
if (parser.parseOptionalStar()) {
if (parser.parseDimensionList(shape, /*allowDynamic=*/true))
return {};
} else if (parser.parseColon()) {
return {};
}
mlir::Type eleTy;
if (parser.parseType(eleTy))
return {};
const bool polymorphic = mlir::succeeded(parser.parseOptionalQuestion());
if (parser.parseGreater())
return {};
return ExprType::get(parser.getContext(), shape, eleTy, polymorphic);
}
void hlfir::ExprType::print(mlir::AsmPrinter &printer) const {
auto shape = getShape();
printer << '<';
if (shape.size()) {
for (const auto &b : shape) {
if (b >= 0)
printer << b << 'x';
else
printer << "?x";
}
}
printer << getEleTy();
if (isPolymorphic())
printer << '?';
printer << '>';
}
bool hlfir::isFortranVariableType(mlir::Type type) {
return llvm::TypeSwitch<mlir::Type, bool>(type)
.Case<fir::ReferenceType, fir::PointerType, fir::HeapType>([](auto p) {
mlir::Type eleType = p.getEleTy();
return mlir::isa<fir::BaseBoxType>(eleType) ||
!fir::hasDynamicSize(eleType);
})
.Case<fir::BaseBoxType, fir::BoxCharType>([](auto) { return true; })
.Case<fir::VectorType>([](auto) { return true; })
.Default([](mlir::Type) { return false; });
}
bool hlfir::isFortranScalarCharacterType(mlir::Type type) {
return isFortranScalarCharacterExprType(type) ||
mlir::isa<fir::BoxCharType>(type) ||
mlir::isa<fir::CharacterType>(
fir::unwrapPassByRefType(fir::unwrapRefType(type)));
}
bool hlfir::isFortranScalarCharacterExprType(mlir::Type type) {
if (auto exprType = mlir::dyn_cast<hlfir::ExprType>(type))
return exprType.isScalar() &&
mlir::isa<fir::CharacterType>(exprType.getElementType());
return false;
}
bool hlfir::isFortranArrayCharacterExprType(mlir::Type type) {
if (auto exprType = mlir::dyn_cast<hlfir::ExprType>(type))
return exprType.isArray() &&
mlir::isa<fir::CharacterType>(exprType.getElementType());
return false;
}
bool hlfir::isFortranScalarNumericalType(mlir::Type type) {
return fir::isa_integer(type) || fir::isa_real(type) ||
fir::isa_complex(type);
}
bool hlfir::isFortranNumericalArrayObject(mlir::Type type) {
if (isBoxAddressType(type))
return false;
if (auto arrayTy = mlir::dyn_cast<fir::SequenceType>(
getFortranElementOrSequenceType(type)))
return isFortranScalarNumericalType(arrayTy.getEleTy());
return false;
}
bool hlfir::isFortranNumericalOrLogicalArrayObject(mlir::Type type) {
if (isBoxAddressType(type))
return false;
if (auto arrayTy = mlir::dyn_cast<fir::SequenceType>(
getFortranElementOrSequenceType(type))) {
mlir::Type eleTy = arrayTy.getEleTy();
return isFortranScalarNumericalType(eleTy) ||
mlir::isa<fir::LogicalType>(eleTy);
}
return false;
}
bool hlfir::isFortranArrayObject(mlir::Type type) {
if (isBoxAddressType(type))
return false;
return !!mlir::dyn_cast<fir::SequenceType>(
getFortranElementOrSequenceType(type));
}
bool hlfir::isPassByRefOrIntegerType(mlir::Type type) {
mlir::Type unwrappedType = fir::unwrapPassByRefType(type);
return fir::isa_integer(unwrappedType);
}
bool hlfir::isI1Type(mlir::Type type) {
if (mlir::IntegerType integer = mlir::dyn_cast<mlir::IntegerType>(type))
if (integer.getWidth() == 1)
return true;
return false;
}
bool hlfir::isFortranLogicalArrayObject(mlir::Type type) {
if (isBoxAddressType(type))
return false;
if (auto arrayTy = mlir::dyn_cast<fir::SequenceType>(
getFortranElementOrSequenceType(type))) {
mlir::Type eleTy = arrayTy.getEleTy();
return mlir::isa<fir::LogicalType>(eleTy);
}
return false;
}
bool hlfir::isMaskArgument(mlir::Type type) {
if (isBoxAddressType(type))
return false;
mlir::Type unwrappedType = fir::unwrapPassByRefType(fir::unwrapRefType(type));
mlir::Type elementType = getFortranElementType(unwrappedType);
if (unwrappedType != elementType)
// input type is an array
return mlir::isa<fir::LogicalType>(elementType);
// input is a scalar, so allow i1 too
return mlir::isa<fir::LogicalType>(elementType) || isI1Type(elementType);
}
bool hlfir::isPolymorphicObject(mlir::Type type) {
if (auto exprType = mlir::dyn_cast<hlfir::ExprType>(type))
return exprType.isPolymorphic();
return fir::isPolymorphicType(type);
}
mlir::Value hlfir::genExprShape(mlir::OpBuilder &builder,
const mlir::Location &loc,
const hlfir::ExprType &expr) {
mlir::IndexType indexTy = builder.getIndexType();
llvm::SmallVector<mlir::Value> extents;
extents.reserve(expr.getRank());
for (std::int64_t extent : expr.getShape()) {
if (extent == hlfir::ExprType::getUnknownExtent())
return {};
extents.emplace_back(builder.create<mlir::arith::ConstantOp>(
loc, indexTy, builder.getIntegerAttr(indexTy, extent)));
}
fir::ShapeType shapeTy =
fir::ShapeType::get(builder.getContext(), expr.getRank());
fir::ShapeOp shape = builder.create<fir::ShapeOp>(loc, shapeTy, extents);
return shape.getResult();
}
bool hlfir::mayHaveAllocatableComponent(mlir::Type ty) {
return fir::isPolymorphicType(ty) || fir::isUnlimitedPolymorphicType(ty) ||
fir::isRecordWithAllocatableMember(hlfir::getFortranElementType(ty));
}