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FIROps.cpp
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FIROps.cpp
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//===-- FIROps.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/Dialect/FIROps.h"
#include "flang/Optimizer/Dialect/FIRAttr.h"
#include "flang/Optimizer/Dialect/FIROpsSupport.h"
#include "flang/Optimizer/Dialect/FIRType.h"
#include "flang/Optimizer/Support/Utils.h"
#include "mlir/Dialect/CommonFolders.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/IR/BuiltinAttributes.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/IR/Diagnostics.h"
#include "mlir/IR/Matchers.h"
#include "mlir/IR/OpDefinition.h"
#include "mlir/IR/PatternMatch.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringSwitch.h"
#include "llvm/ADT/TypeSwitch.h"
namespace {
#include "flang/Optimizer/Dialect/CanonicalizationPatterns.inc"
} // namespace
using namespace fir;
using namespace mlir;
/// Return true if a sequence type is of some incomplete size or a record type
/// is malformed or contains an incomplete sequence type. An incomplete sequence
/// type is one with more unknown extents in the type than have been provided
/// via `dynamicExtents`. Sequence types with an unknown rank are incomplete by
/// definition.
static bool verifyInType(mlir::Type inType,
llvm::SmallVectorImpl<llvm::StringRef> &visited,
unsigned dynamicExtents = 0) {
if (auto st = inType.dyn_cast<fir::SequenceType>()) {
auto shape = st.getShape();
if (shape.size() == 0)
return true;
for (std::size_t i = 0, end{shape.size()}; i < end; ++i) {
if (shape[i] != fir::SequenceType::getUnknownExtent())
continue;
if (dynamicExtents-- == 0)
return true;
}
} else if (auto rt = inType.dyn_cast<fir::RecordType>()) {
// don't recurse if we're already visiting this one
if (llvm::is_contained(visited, rt.getName()))
return false;
// keep track of record types currently being visited
visited.push_back(rt.getName());
for (auto &field : rt.getTypeList())
if (verifyInType(field.second, visited))
return true;
visited.pop_back();
}
return false;
}
static bool verifyTypeParamCount(mlir::Type inType, unsigned numParams) {
auto ty = fir::unwrapSequenceType(inType);
if (numParams > 0) {
if (auto recTy = ty.dyn_cast<fir::RecordType>())
return numParams != recTy.getNumLenParams();
if (auto chrTy = ty.dyn_cast<fir::CharacterType>())
return !(numParams == 1 && chrTy.hasDynamicLen());
return true;
}
if (auto chrTy = ty.dyn_cast<fir::CharacterType>())
return !chrTy.hasConstantLen();
return false;
}
/// Parser shared by Alloca and Allocmem
///
/// operation ::= %res = (`fir.alloca` | `fir.allocmem`) $in_type
/// ( `(` $typeparams `)` )? ( `,` $shape )?
/// attr-dict-without-keyword
template <typename FN>
static mlir::ParseResult parseAllocatableOp(FN wrapResultType,
mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::Type intype;
if (parser.parseType(intype))
return mlir::failure();
auto &builder = parser.getBuilder();
result.addAttribute("in_type", mlir::TypeAttr::get(intype));
llvm::SmallVector<mlir::OpAsmParser::OperandType> operands;
llvm::SmallVector<mlir::Type> typeVec;
bool hasOperands = false;
std::int32_t typeparamsSize = 0;
if (!parser.parseOptionalLParen()) {
// parse the LEN params of the derived type. (<params> : <types>)
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::None) ||
parser.parseColonTypeList(typeVec) || parser.parseRParen())
return mlir::failure();
typeparamsSize = operands.size();
hasOperands = true;
}
std::int32_t shapeSize = 0;
if (!parser.parseOptionalComma()) {
// parse size to scale by, vector of n dimensions of type index
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::None))
return mlir::failure();
shapeSize = operands.size() - typeparamsSize;
auto idxTy = builder.getIndexType();
for (std::int32_t i = typeparamsSize, end = operands.size(); i != end; ++i)
typeVec.push_back(idxTy);
hasOperands = true;
}
if (hasOperands &&
parser.resolveOperands(operands, typeVec, parser.getNameLoc(),
result.operands))
return mlir::failure();
mlir::Type restype = wrapResultType(intype);
if (!restype) {
parser.emitError(parser.getNameLoc(), "invalid allocate type: ") << intype;
return mlir::failure();
}
result.addAttribute("operand_segment_sizes",
builder.getI32VectorAttr({typeparamsSize, shapeSize}));
if (parser.parseOptionalAttrDict(result.attributes) ||
parser.addTypeToList(restype, result.types))
return mlir::failure();
return mlir::success();
}
template <typename OP>
static void printAllocatableOp(mlir::OpAsmPrinter &p, OP &op) {
p << ' ' << op.getInType();
if (!op.getTypeparams().empty()) {
p << '(' << op.getTypeparams() << " : " << op.getTypeparams().getTypes()
<< ')';
}
// print the shape of the allocation (if any); all must be index type
for (auto sh : op.getShape()) {
p << ", ";
p.printOperand(sh);
}
p.printOptionalAttrDict(op->getAttrs(), {"in_type", "operand_segment_sizes"});
}
//===----------------------------------------------------------------------===//
// AllocaOp
//===----------------------------------------------------------------------===//
/// Create a legal memory reference as return type
static mlir::Type wrapAllocaResultType(mlir::Type intype) {
// FIR semantics: memory references to memory references are disallowed
if (intype.isa<ReferenceType>())
return {};
return ReferenceType::get(intype);
}
mlir::Type fir::AllocaOp::getAllocatedType() {
return getType().cast<ReferenceType>().getEleTy();
}
mlir::Type fir::AllocaOp::getRefTy(mlir::Type ty) {
return ReferenceType::get(ty);
}
void fir::AllocaOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
llvm::StringRef uniqName, mlir::ValueRange typeparams,
mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
auto nameAttr = builder.getStringAttr(uniqName);
build(builder, result, wrapAllocaResultType(inType), inType, nameAttr, {},
/*pinned=*/false, typeparams, shape);
result.addAttributes(attributes);
}
void fir::AllocaOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
llvm::StringRef uniqName, bool pinned,
mlir::ValueRange typeparams, mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
auto nameAttr = builder.getStringAttr(uniqName);
build(builder, result, wrapAllocaResultType(inType), inType, nameAttr, {},
pinned, typeparams, shape);
result.addAttributes(attributes);
}
void fir::AllocaOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
llvm::StringRef uniqName, llvm::StringRef bindcName,
mlir::ValueRange typeparams, mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
auto nameAttr =
uniqName.empty() ? mlir::StringAttr{} : builder.getStringAttr(uniqName);
auto bindcAttr =
bindcName.empty() ? mlir::StringAttr{} : builder.getStringAttr(bindcName);
build(builder, result, wrapAllocaResultType(inType), inType, nameAttr,
bindcAttr, /*pinned=*/false, typeparams, shape);
result.addAttributes(attributes);
}
void fir::AllocaOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
llvm::StringRef uniqName, llvm::StringRef bindcName,
bool pinned, mlir::ValueRange typeparams,
mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
auto nameAttr =
uniqName.empty() ? mlir::StringAttr{} : builder.getStringAttr(uniqName);
auto bindcAttr =
bindcName.empty() ? mlir::StringAttr{} : builder.getStringAttr(bindcName);
build(builder, result, wrapAllocaResultType(inType), inType, nameAttr,
bindcAttr, pinned, typeparams, shape);
result.addAttributes(attributes);
}
void fir::AllocaOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
mlir::ValueRange typeparams, mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
build(builder, result, wrapAllocaResultType(inType), inType, {}, {},
/*pinned=*/false, typeparams, shape);
result.addAttributes(attributes);
}
void fir::AllocaOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
bool pinned, mlir::ValueRange typeparams,
mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
build(builder, result, wrapAllocaResultType(inType), inType, {}, {}, pinned,
typeparams, shape);
result.addAttributes(attributes);
}
mlir::ParseResult fir::AllocaOp::parse(OpAsmParser &parser,
OperationState &result) {
return parseAllocatableOp(wrapAllocaResultType, parser, result);
}
void fir::AllocaOp::print(OpAsmPrinter &p) { printAllocatableOp(p, *this); }
mlir::LogicalResult fir::AllocaOp::verify() {
llvm::SmallVector<llvm::StringRef> visited;
if (verifyInType(getInType(), visited, numShapeOperands()))
return emitOpError("invalid type for allocation");
if (verifyTypeParamCount(getInType(), numLenParams()))
return emitOpError("LEN params do not correspond to type");
mlir::Type outType = getType();
if (!outType.isa<fir::ReferenceType>())
return emitOpError("must be a !fir.ref type");
if (fir::isa_unknown_size_box(fir::dyn_cast_ptrEleTy(outType)))
return emitOpError("cannot allocate !fir.box of unknown rank or type");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// AllocMemOp
//===----------------------------------------------------------------------===//
/// Create a legal heap reference as return type
static mlir::Type wrapAllocMemResultType(mlir::Type intype) {
// Fortran semantics: C852 an entity cannot be both ALLOCATABLE and POINTER
// 8.5.3 note 1 prohibits ALLOCATABLE procedures as well
// FIR semantics: one may not allocate a memory reference value
if (intype.isa<ReferenceType>() || intype.isa<HeapType>() ||
intype.isa<PointerType>() || intype.isa<FunctionType>())
return {};
return HeapType::get(intype);
}
mlir::Type fir::AllocMemOp::getAllocatedType() {
return getType().cast<HeapType>().getEleTy();
}
mlir::Type fir::AllocMemOp::getRefTy(mlir::Type ty) {
return HeapType::get(ty);
}
void fir::AllocMemOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
llvm::StringRef uniqName,
mlir::ValueRange typeparams, mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
auto nameAttr = builder.getStringAttr(uniqName);
build(builder, result, wrapAllocMemResultType(inType), inType, nameAttr, {},
typeparams, shape);
result.addAttributes(attributes);
}
void fir::AllocMemOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
llvm::StringRef uniqName, llvm::StringRef bindcName,
mlir::ValueRange typeparams, mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
auto nameAttr = builder.getStringAttr(uniqName);
auto bindcAttr = builder.getStringAttr(bindcName);
build(builder, result, wrapAllocMemResultType(inType), inType, nameAttr,
bindcAttr, typeparams, shape);
result.addAttributes(attributes);
}
void fir::AllocMemOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Type inType,
mlir::ValueRange typeparams, mlir::ValueRange shape,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
build(builder, result, wrapAllocMemResultType(inType), inType, {}, {},
typeparams, shape);
result.addAttributes(attributes);
}
mlir::ParseResult AllocMemOp::parse(OpAsmParser &parser,
OperationState &result) {
return parseAllocatableOp(wrapAllocMemResultType, parser, result);
}
void AllocMemOp::print(OpAsmPrinter &p) { printAllocatableOp(p, *this); }
mlir::LogicalResult AllocMemOp::verify() {
llvm::SmallVector<llvm::StringRef> visited;
if (verifyInType(getInType(), visited, numShapeOperands()))
return emitOpError("invalid type for allocation");
if (verifyTypeParamCount(getInType(), numLenParams()))
return emitOpError("LEN params do not correspond to type");
mlir::Type outType = getType();
if (!outType.dyn_cast<fir::HeapType>())
return emitOpError("must be a !fir.heap type");
if (fir::isa_unknown_size_box(fir::dyn_cast_ptrEleTy(outType)))
return emitOpError("cannot allocate !fir.box of unknown rank or type");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayCoorOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult ArrayCoorOp::verify() {
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
auto arrTy = eleTy.dyn_cast<fir::SequenceType>();
if (!arrTy)
return emitOpError("must be a reference to an array");
auto arrDim = arrTy.getDimension();
if (auto shapeOp = getShape()) {
auto shapeTy = shapeOp.getType();
unsigned shapeTyRank = 0;
if (auto s = shapeTy.dyn_cast<fir::ShapeType>()) {
shapeTyRank = s.getRank();
} else if (auto ss = shapeTy.dyn_cast<fir::ShapeShiftType>()) {
shapeTyRank = ss.getRank();
} else {
auto s = shapeTy.cast<fir::ShiftType>();
shapeTyRank = s.getRank();
if (!getMemref().getType().isa<fir::BoxType>())
return emitOpError("shift can only be provided with fir.box memref");
}
if (arrDim && arrDim != shapeTyRank)
return emitOpError("rank of dimension mismatched");
if (shapeTyRank != getIndices().size())
return emitOpError("number of indices do not match dim rank");
}
if (auto sliceOp = getSlice()) {
if (auto sl = mlir::dyn_cast_or_null<fir::SliceOp>(sliceOp.getDefiningOp()))
if (!sl.getSubstr().empty())
return emitOpError("array_coor cannot take a slice with substring");
if (auto sliceTy = sliceOp.getType().dyn_cast<fir::SliceType>())
if (sliceTy.getRank() != arrDim)
return emitOpError("rank of dimension in slice mismatched");
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayLoadOp
//===----------------------------------------------------------------------===//
static mlir::Type adjustedElementType(mlir::Type t) {
if (auto ty = t.dyn_cast<fir::ReferenceType>()) {
auto eleTy = ty.getEleTy();
if (fir::isa_char(eleTy))
return eleTy;
if (fir::isa_derived(eleTy))
return eleTy;
if (eleTy.isa<fir::SequenceType>())
return eleTy;
}
return t;
}
std::vector<mlir::Value> fir::ArrayLoadOp::getExtents() {
if (auto sh = getShape())
if (auto *op = sh.getDefiningOp()) {
if (auto shOp = dyn_cast<fir::ShapeOp>(op)) {
auto extents = shOp.getExtents();
return {extents.begin(), extents.end()};
}
return cast<fir::ShapeShiftOp>(op).getExtents();
}
return {};
}
mlir::LogicalResult ArrayLoadOp::verify() {
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
auto arrTy = eleTy.dyn_cast<fir::SequenceType>();
if (!arrTy)
return emitOpError("must be a reference to an array");
auto arrDim = arrTy.getDimension();
if (auto shapeOp = getShape()) {
auto shapeTy = shapeOp.getType();
unsigned shapeTyRank = 0;
if (auto s = shapeTy.dyn_cast<fir::ShapeType>()) {
shapeTyRank = s.getRank();
} else if (auto ss = shapeTy.dyn_cast<fir::ShapeShiftType>()) {
shapeTyRank = ss.getRank();
} else {
auto s = shapeTy.cast<fir::ShiftType>();
shapeTyRank = s.getRank();
if (!getMemref().getType().isa<fir::BoxType>())
return emitOpError("shift can only be provided with fir.box memref");
}
if (arrDim && arrDim != shapeTyRank)
return emitOpError("rank of dimension mismatched");
}
if (auto sliceOp = getSlice()) {
if (auto sl = mlir::dyn_cast_or_null<fir::SliceOp>(sliceOp.getDefiningOp()))
if (!sl.getSubstr().empty())
return emitOpError("array_load cannot take a slice with substring");
if (auto sliceTy = sliceOp.getType().dyn_cast<fir::SliceType>())
if (sliceTy.getRank() != arrDim)
return emitOpError("rank of dimension in slice mismatched");
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayMergeStoreOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult ArrayMergeStoreOp::verify() {
if (!isa<ArrayLoadOp>(getOriginal().getDefiningOp()))
return emitOpError("operand #0 must be result of a fir.array_load op");
if (auto sl = getSlice()) {
if (auto sliceOp =
mlir::dyn_cast_or_null<fir::SliceOp>(sl.getDefiningOp())) {
if (!sliceOp.getSubstr().empty())
return emitOpError(
"array_merge_store cannot take a slice with substring");
if (!sliceOp.getFields().empty()) {
// This is an intra-object merge, where the slice is projecting the
// subfields that are to be overwritten by the merge operation.
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>()) {
auto projTy =
fir::applyPathToType(seqTy.getEleTy(), sliceOp.getFields());
if (fir::unwrapSequenceType(getOriginal().getType()) != projTy)
return emitOpError(
"type of origin does not match sliced memref type");
if (fir::unwrapSequenceType(getSequence().getType()) != projTy)
return emitOpError(
"type of sequence does not match sliced memref type");
return mlir::success();
}
return emitOpError("referenced type is not an array");
}
}
return mlir::success();
}
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
if (getOriginal().getType() != eleTy)
return emitOpError("type of origin does not match memref element type");
if (getSequence().getType() != eleTy)
return emitOpError("type of sequence does not match memref element type");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayFetchOp
//===----------------------------------------------------------------------===//
// Template function used for both array_fetch and array_update verification.
template <typename A>
mlir::Type validArraySubobject(A op) {
auto ty = op.getSequence().getType();
return fir::applyPathToType(ty, op.getIndices());
}
mlir::LogicalResult ArrayFetchOp::verify() {
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
auto indSize = getIndices().size();
if (indSize < arrTy.getDimension())
return emitOpError("number of indices != dimension of array");
if (indSize == arrTy.getDimension() &&
::adjustedElementType(getElement().getType()) != arrTy.getEleTy())
return emitOpError("return type does not match array");
auto ty = validArraySubobject(*this);
if (!ty || ty != ::adjustedElementType(getType()))
return emitOpError("return type and/or indices do not type check");
if (!isa<fir::ArrayLoadOp>(getSequence().getDefiningOp()))
return emitOpError("argument #0 must be result of fir.array_load");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayAccessOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult ArrayAccessOp::verify() {
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
std::size_t indSize = getIndices().size();
if (indSize < arrTy.getDimension())
return emitOpError("number of indices != dimension of array");
if (indSize == arrTy.getDimension() &&
getElement().getType() != fir::ReferenceType::get(arrTy.getEleTy()))
return emitOpError("return type does not match array");
mlir::Type ty = validArraySubobject(*this);
if (!ty || fir::ReferenceType::get(ty) != getType())
return emitOpError("return type and/or indices do not type check");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayUpdateOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult ArrayUpdateOp::verify() {
if (fir::isa_ref_type(getMerge().getType()))
return emitOpError("does not support reference type for merge");
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
auto indSize = getIndices().size();
if (indSize < arrTy.getDimension())
return emitOpError("number of indices != dimension of array");
if (indSize == arrTy.getDimension() &&
::adjustedElementType(getMerge().getType()) != arrTy.getEleTy())
return emitOpError("merged value does not have element type");
auto ty = validArraySubobject(*this);
if (!ty || ty != ::adjustedElementType(getMerge().getType()))
return emitOpError("merged value and/or indices do not type check");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayModifyOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult ArrayModifyOp::verify() {
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
auto indSize = getIndices().size();
if (indSize < arrTy.getDimension())
return emitOpError("number of indices must match array dimension");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// BoxAddrOp
//===----------------------------------------------------------------------===//
mlir::OpFoldResult fir::BoxAddrOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
if (auto v = getVal().getDefiningOp()) {
if (auto box = dyn_cast<fir::EmboxOp>(v))
return box.getMemref();
if (auto box = dyn_cast<fir::EmboxCharOp>(v))
return box.getMemref();
}
return {};
}
//===----------------------------------------------------------------------===//
// BoxCharLenOp
//===----------------------------------------------------------------------===//
mlir::OpFoldResult
fir::BoxCharLenOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
if (auto v = getVal().getDefiningOp()) {
if (auto box = dyn_cast<fir::EmboxCharOp>(v))
return box.getLen();
}
return {};
}
//===----------------------------------------------------------------------===//
// BoxDimsOp
//===----------------------------------------------------------------------===//
/// Get the result types packed in a tuple tuple
mlir::Type fir::BoxDimsOp::getTupleType() {
// note: triple, but 4 is nearest power of 2
llvm::SmallVector<mlir::Type> triple{
getResult(0).getType(), getResult(1).getType(), getResult(2).getType()};
return mlir::TupleType::get(getContext(), triple);
}
//===----------------------------------------------------------------------===//
// CallOp
//===----------------------------------------------------------------------===//
mlir::FunctionType fir::CallOp::getFunctionType() {
return mlir::FunctionType::get(getContext(), getOperandTypes(),
getResultTypes());
}
void fir::CallOp::print(mlir::OpAsmPrinter &p) {
bool isDirect = getCallee().hasValue();
p << ' ';
if (isDirect)
p << getCallee().getValue();
else
p << getOperand(0);
p << '(' << (*this)->getOperands().drop_front(isDirect ? 0 : 1) << ')';
p.printOptionalAttrDict((*this)->getAttrs(),
{fir::CallOp::getCalleeAttrNameStr()});
auto resultTypes{getResultTypes()};
llvm::SmallVector<Type> argTypes(
llvm::drop_begin(getOperandTypes(), isDirect ? 0 : 1));
p << " : " << FunctionType::get(getContext(), argTypes, resultTypes);
}
mlir::ParseResult fir::CallOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
llvm::SmallVector<mlir::OpAsmParser::OperandType> operands;
if (parser.parseOperandList(operands))
return mlir::failure();
mlir::NamedAttrList attrs;
mlir::SymbolRefAttr funcAttr;
bool isDirect = operands.empty();
if (isDirect)
if (parser.parseAttribute(funcAttr, fir::CallOp::getCalleeAttrNameStr(),
attrs))
return mlir::failure();
Type type;
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::Paren) ||
parser.parseOptionalAttrDict(attrs) || parser.parseColon() ||
parser.parseType(type))
return mlir::failure();
auto funcType = type.dyn_cast<mlir::FunctionType>();
if (!funcType)
return parser.emitError(parser.getNameLoc(), "expected function type");
if (isDirect) {
if (parser.resolveOperands(operands, funcType.getInputs(),
parser.getNameLoc(), result.operands))
return mlir::failure();
} else {
auto funcArgs =
llvm::ArrayRef<mlir::OpAsmParser::OperandType>(operands).drop_front();
if (parser.resolveOperand(operands[0], funcType, result.operands) ||
parser.resolveOperands(funcArgs, funcType.getInputs(),
parser.getNameLoc(), result.operands))
return mlir::failure();
}
result.addTypes(funcType.getResults());
result.attributes = attrs;
return mlir::success();
}
void fir::CallOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
mlir::FuncOp callee, mlir::ValueRange operands) {
result.addOperands(operands);
result.addAttribute(getCalleeAttrNameStr(), SymbolRefAttr::get(callee));
result.addTypes(callee.getType().getResults());
}
void fir::CallOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
mlir::SymbolRefAttr callee,
llvm::ArrayRef<mlir::Type> results,
mlir::ValueRange operands) {
result.addOperands(operands);
if (callee)
result.addAttribute(getCalleeAttrNameStr(), callee);
result.addTypes(results);
}
//===----------------------------------------------------------------------===//
// CmpOp
//===----------------------------------------------------------------------===//
template <typename OPTY>
static void printCmpOp(OpAsmPrinter &p, OPTY op) {
p << ' ';
auto predSym = mlir::arith::symbolizeCmpFPredicate(
op->template getAttrOfType<mlir::IntegerAttr>(
OPTY::getPredicateAttrName())
.getInt());
assert(predSym.hasValue() && "invalid symbol value for predicate");
p << '"' << mlir::arith::stringifyCmpFPredicate(predSym.getValue()) << '"'
<< ", ";
p.printOperand(op.getLhs());
p << ", ";
p.printOperand(op.getRhs());
p.printOptionalAttrDict(op->getAttrs(),
/*elidedAttrs=*/{OPTY::getPredicateAttrName()});
p << " : " << op.getLhs().getType();
}
template <typename OPTY>
static mlir::ParseResult parseCmpOp(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
llvm::SmallVector<mlir::OpAsmParser::OperandType> ops;
mlir::NamedAttrList attrs;
mlir::Attribute predicateNameAttr;
mlir::Type type;
if (parser.parseAttribute(predicateNameAttr, OPTY::getPredicateAttrName(),
attrs) ||
parser.parseComma() || parser.parseOperandList(ops, 2) ||
parser.parseOptionalAttrDict(attrs) || parser.parseColonType(type) ||
parser.resolveOperands(ops, type, result.operands))
return failure();
if (!predicateNameAttr.isa<mlir::StringAttr>())
return parser.emitError(parser.getNameLoc(),
"expected string comparison predicate attribute");
// Rewrite string attribute to an enum value.
llvm::StringRef predicateName =
predicateNameAttr.cast<mlir::StringAttr>().getValue();
auto predicate = fir::CmpcOp::getPredicateByName(predicateName);
auto builder = parser.getBuilder();
mlir::Type i1Type = builder.getI1Type();
attrs.set(OPTY::getPredicateAttrName(),
builder.getI64IntegerAttr(static_cast<int64_t>(predicate)));
result.attributes = attrs;
result.addTypes({i1Type});
return success();
}
//===----------------------------------------------------------------------===//
// CharConvertOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult CharConvertOp::verify() {
auto unwrap = [&](mlir::Type t) {
t = fir::unwrapSequenceType(fir::dyn_cast_ptrEleTy(t));
return t.dyn_cast<fir::CharacterType>();
};
auto inTy = unwrap(getFrom().getType());
auto outTy = unwrap(getTo().getType());
if (!(inTy && outTy))
return emitOpError("not a reference to a character");
if (inTy.getFKind() == outTy.getFKind())
return emitOpError("buffers must have different KIND values");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// CmpcOp
//===----------------------------------------------------------------------===//
void fir::buildCmpCOp(OpBuilder &builder, OperationState &result,
arith::CmpFPredicate predicate, Value lhs, Value rhs) {
result.addOperands({lhs, rhs});
result.types.push_back(builder.getI1Type());
result.addAttribute(
fir::CmpcOp::getPredicateAttrName(),
builder.getI64IntegerAttr(static_cast<int64_t>(predicate)));
}
mlir::arith::CmpFPredicate
fir::CmpcOp::getPredicateByName(llvm::StringRef name) {
auto pred = mlir::arith::symbolizeCmpFPredicate(name);
assert(pred.hasValue() && "invalid predicate name");
return pred.getValue();
}
void CmpcOp::print(OpAsmPrinter &p) { printCmpOp(p, *this); }
mlir::ParseResult CmpcOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseCmpOp<fir::CmpcOp>(parser, result);
}
//===----------------------------------------------------------------------===//
// ConstcOp
//===----------------------------------------------------------------------===//
mlir::ParseResult ConstcOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
fir::RealAttr realp;
fir::RealAttr imagp;
mlir::Type type;
if (parser.parseLParen() ||
parser.parseAttribute(realp, fir::ConstcOp::realAttrName(),
result.attributes) ||
parser.parseComma() ||
parser.parseAttribute(imagp, fir::ConstcOp::imagAttrName(),
result.attributes) ||
parser.parseRParen() || parser.parseColonType(type) ||
parser.addTypesToList(type, result.types))
return mlir::failure();
return mlir::success();
}
void ConstcOp::print(mlir::OpAsmPrinter &p) {
p << '(';
p << getOperation()->getAttr(fir::ConstcOp::realAttrName()) << ", ";
p << getOperation()->getAttr(fir::ConstcOp::imagAttrName()) << ") : ";
p.printType(getType());
}
mlir::LogicalResult ConstcOp::verify() {
if (!getType().isa<fir::ComplexType>())
return emitOpError("must be a !fir.complex type");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ConvertOp
//===----------------------------------------------------------------------===//
void fir::ConvertOp::getCanonicalizationPatterns(RewritePatternSet &results,
MLIRContext *context) {
results.insert<ConvertConvertOptPattern, RedundantConvertOptPattern,
CombineConvertOptPattern, ForwardConstantConvertPattern>(
context);
}
mlir::OpFoldResult fir::ConvertOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
if (getValue().getType() == getType())
return getValue();
if (matchPattern(getValue(), m_Op<fir::ConvertOp>())) {
auto inner = cast<fir::ConvertOp>(getValue().getDefiningOp());
// (convert (convert 'a : logical -> i1) : i1 -> logical) ==> forward 'a
if (auto toTy = getType().dyn_cast<fir::LogicalType>())
if (auto fromTy = inner.getValue().getType().dyn_cast<fir::LogicalType>())
if (inner.getType().isa<mlir::IntegerType>() && (toTy == fromTy))
return inner.getValue();
// (convert (convert 'a : i1 -> logical) : logical -> i1) ==> forward 'a
if (auto toTy = getType().dyn_cast<mlir::IntegerType>())
if (auto fromTy =
inner.getValue().getType().dyn_cast<mlir::IntegerType>())
if (inner.getType().isa<fir::LogicalType>() && (toTy == fromTy) &&
(fromTy.getWidth() == 1))
return inner.getValue();
}
return {};
}
bool fir::ConvertOp::isIntegerCompatible(mlir::Type ty) {
return ty.isa<mlir::IntegerType>() || ty.isa<mlir::IndexType>() ||
ty.isa<fir::IntegerType>() || ty.isa<fir::LogicalType>();
}
bool fir::ConvertOp::isFloatCompatible(mlir::Type ty) {
return ty.isa<mlir::FloatType>() || ty.isa<fir::RealType>();
}
bool fir::ConvertOp::isPointerCompatible(mlir::Type ty) {
return ty.isa<fir::ReferenceType>() || ty.isa<fir::PointerType>() ||
ty.isa<fir::HeapType>() || ty.isa<fir::LLVMPointerType>() ||
ty.isa<mlir::MemRefType>() || ty.isa<mlir::FunctionType>() ||
ty.isa<fir::TypeDescType>();
}
mlir::LogicalResult ConvertOp::verify() {
auto inType = getValue().getType();
auto outType = getType();
if (inType == outType)
return mlir::success();
if ((isPointerCompatible(inType) && isPointerCompatible(outType)) ||
(isIntegerCompatible(inType) && isIntegerCompatible(outType)) ||
(isIntegerCompatible(inType) && isFloatCompatible(outType)) ||
(isFloatCompatible(inType) && isIntegerCompatible(outType)) ||
(isFloatCompatible(inType) && isFloatCompatible(outType)) ||
(isIntegerCompatible(inType) && isPointerCompatible(outType)) ||
(isPointerCompatible(inType) && isIntegerCompatible(outType)) ||
(inType.isa<fir::BoxType>() && outType.isa<fir::BoxType>()) ||
(fir::isa_complex(inType) && fir::isa_complex(outType)))
return mlir::success();
return emitOpError("invalid type conversion");
}
//===----------------------------------------------------------------------===//
// CoordinateOp
//===----------------------------------------------------------------------===//
void CoordinateOp::print(mlir::OpAsmPrinter &p) {
p << ' ' << getRef() << ", " << getCoor();
p.printOptionalAttrDict((*this)->getAttrs(), /*elideAttrs=*/{"baseType"});
p << " : ";
p.printFunctionalType(getOperandTypes(), (*this)->getResultTypes());
}
mlir::ParseResult CoordinateOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::OpAsmParser::OperandType memref;
if (parser.parseOperand(memref) || parser.parseComma())
return mlir::failure();
llvm::SmallVector<mlir::OpAsmParser::OperandType> coorOperands;
if (parser.parseOperandList(coorOperands))
return mlir::failure();
llvm::SmallVector<mlir::OpAsmParser::OperandType> allOperands;
allOperands.push_back(memref);
allOperands.append(coorOperands.begin(), coorOperands.end());
mlir::FunctionType funcTy;
auto loc = parser.getCurrentLocation();
if (parser.parseOptionalAttrDict(result.attributes) ||
parser.parseColonType(funcTy) ||
parser.resolveOperands(allOperands, funcTy.getInputs(), loc,
result.operands))
return failure();
parser.addTypesToList(funcTy.getResults(), result.types);
result.addAttribute("baseType", mlir::TypeAttr::get(funcTy.getInput(0)));
return mlir::success();
}
mlir::LogicalResult CoordinateOp::verify() {
auto refTy = getRef().getType();
if (fir::isa_ref_type(refTy)) {
auto eleTy = fir::dyn_cast_ptrEleTy(refTy);
if (auto arrTy = eleTy.dyn_cast<fir::SequenceType>()) {
if (arrTy.hasUnknownShape())
return emitOpError("cannot find coordinate in unknown shape");
if (arrTy.getConstantRows() < arrTy.getDimension() - 1)
return emitOpError("cannot find coordinate with unknown extents");
}
if (!(fir::isa_aggregate(eleTy) || fir::isa_complex(eleTy) ||
fir::isa_char_string(eleTy)))
return emitOpError("cannot apply coordinate_of to this type");
}
// Recovering a LEN type parameter only makes sense from a boxed value. For a
// bare reference, the LEN type parameters must be passed as additional
// arguments to `op`.
for (auto co : getCoor())
if (dyn_cast_or_null<fir::LenParamIndexOp>(co.getDefiningOp())) {
if (getNumOperands() != 2)
return emitOpError("len_param_index must be last argument");
if (!getRef().getType().isa<BoxType>())
return emitOpError("len_param_index must be used on box type");
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// DispatchOp
//===----------------------------------------------------------------------===//
mlir::FunctionType fir::DispatchOp::getFunctionType() {
return mlir::FunctionType::get(getContext(), getOperandTypes(),
getResultTypes());
}
mlir::ParseResult DispatchOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::FunctionType calleeType;
llvm::SmallVector<mlir::OpAsmParser::OperandType> operands;
auto calleeLoc = parser.getNameLoc();
llvm::StringRef calleeName;
if (failed(parser.parseOptionalKeyword(&calleeName))) {
mlir::StringAttr calleeAttr;
if (parser.parseAttribute(calleeAttr,
fir::DispatchOp::getMethodAttrNameStr(),
result.attributes))
return mlir::failure();
} else {
result.addAttribute(fir::DispatchOp::getMethodAttrNameStr(),
parser.getBuilder().getStringAttr(calleeName));
}
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::Paren) ||
parser.parseOptionalAttrDict(result.attributes) ||
parser.parseColonType(calleeType) ||
parser.addTypesToList(calleeType.getResults(), result.types) ||
parser.resolveOperands(operands, calleeType.getInputs(), calleeLoc,
result.operands))
return mlir::failure();
return mlir::success();
}
void DispatchOp::print(mlir::OpAsmPrinter &p) {
p << ' ' << getMethodAttr() << '(';
p.printOperand(getObject());
if (!getArgs().empty()) {
p << ", ";
p.printOperands(getArgs());
}
p << ") : ";
p.printFunctionalType(getOperation()->getOperandTypes(),
getOperation()->getResultTypes());
}
//===----------------------------------------------------------------------===//
// DispatchTableOp
//===----------------------------------------------------------------------===//
void fir::DispatchTableOp::appendTableEntry(mlir::Operation *op) {
assert(mlir::isa<fir::DTEntryOp>(*op) && "operation must be a DTEntryOp");
auto &block = getBlock();
block.getOperations().insert(block.end(), op);
}