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2417618d5ca4b151908df09d8e3a00a49f029222
clang-p2996/flang/lib/Optimizer/Dialect/FIROps.cpp
Jeff Niu 58a47508f0 (Reland) [mlir] Switch segment size attributes to DenseI32ArrayAttr 
This reland includes changes to the Python bindings.

Switch variadic operand and result segment size attributes to use the
dense i32 array. Dense integer arrays were introduced primarily to
represent index lists. They are a better fit for segment sizes than
dense elements attrs.

Depends on D131801

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D131803
2022-08-12 19:44:52 -04:00

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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/FIRContext.h"
#include "flang/Optimizer/Support/KindMapping.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
/// 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::UnresolvedOperand> 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.getDenseI32ArrayAttr({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<fir::ReferenceType>())
return {};
return fir::ReferenceType::get(intype);
}
mlir::Type fir::AllocaOp::getAllocatedType() {
return getType().cast<fir::ReferenceType>().getEleTy();
}
mlir::Type fir::AllocaOp::getRefTy(mlir::Type ty) {
return fir::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(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseAllocatableOp(wrapAllocaResultType, parser, result);
}
void fir::AllocaOp::print(mlir::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<fir::ReferenceType, fir::HeapType, fir::PointerType,
mlir::FunctionType>())
return {};
return fir::HeapType::get(intype);
}
mlir::Type fir::AllocMemOp::getAllocatedType() {
return getType().cast<fir::HeapType>().getEleTy();
}
mlir::Type fir::AllocMemOp::getRefTy(mlir::Type ty) {
return fir::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 fir::AllocMemOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseAllocatableOp(wrapAllocMemResultType, parser, result);
}
void fir::AllocMemOp::print(mlir::OpAsmPrinter &p) {
printAllocatableOp(p, *this);
}
mlir::LogicalResult fir::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
//===----------------------------------------------------------------------===//
// CHARACTERs and derived types with LEN PARAMETERs are dependent types that
// require runtime values to fully define the type of an object.
static bool validTypeParams(mlir::Type dynTy, mlir::ValueRange typeParams) {
dynTy = fir::unwrapAllRefAndSeqType(dynTy);
// A box value will contain type parameter values itself.
if (dynTy.isa<fir::BoxType>())
return typeParams.size() == 0;
// Derived type must have all type parameters satisfied.
if (auto recTy = dynTy.dyn_cast<fir::RecordType>())
return typeParams.size() == recTy.getNumLenParams();
// Characters with non-constant LEN must have a type parameter value.
if (auto charTy = dynTy.dyn_cast<fir::CharacterType>())
if (charTy.hasDynamicLen())
return typeParams.size() == 1;
// Otherwise, any type parameters are invalid.
return typeParams.size() == 0;
}
mlir::LogicalResult fir::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");
}
if (!validTypeParams(getMemref().getType(), getTypeparams()))
return emitOpError("invalid type parameters");
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 = mlir::dyn_cast<fir::ShapeOp>(op)) {
auto extents = shOp.getExtents();
return {extents.begin(), extents.end()};
}
return mlir::cast<fir::ShapeShiftOp>(op).getExtents();
}
return {};
}
mlir::LogicalResult fir::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 = 0u;
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");
}
if (!validTypeParams(getMemref().getType(), getTypeparams()))
return emitOpError("invalid type parameters");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayMergeStoreOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::ArrayMergeStoreOp::verify() {
if (!mlir::isa<fir::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");
if (!validTypeParams(getMemref().getType(), getTypeparams()))
return emitOpError("invalid type parameters");
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 fir::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 (!mlir::isa<fir::ArrayLoadOp>(getSequence().getDefiningOp()))
return emitOpError("argument #0 must be result of fir.array_load");
if (!validTypeParams(arrTy, getTypeparams()))
return emitOpError("invalid type parameters");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayAccessOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::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");
if (!validTypeParams(arrTy, getTypeparams()))
return emitOpError("invalid type parameters");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayUpdateOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::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");
if (!validTypeParams(arrTy, getTypeparams()))
return emitOpError("invalid type parameters");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ArrayModifyOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::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 = mlir::dyn_cast<fir::EmboxOp>(v)) {
if (!box.getSlice()) // Fold only if not sliced
return box.getMemref();
}
if (auto box = mlir::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 = mlir::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().has_value();
p << ' ';
if (isDirect)
p << *getCallee();
else
p << getOperand(0);
p << '(' << (*this)->getOperands().drop_front(isDirect ? 0 : 1) << ')';
p.printOptionalAttrDict((*this)->getAttrs(),
{fir::CallOp::getCalleeAttrNameStr()});
auto resultTypes{getResultTypes()};
llvm::SmallVector<mlir::Type> argTypes(
llvm::drop_begin(getOperandTypes(), isDirect ? 0 : 1));
p << " : " << mlir::FunctionType::get(getContext(), argTypes, resultTypes);
}
mlir::ParseResult fir::CallOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> 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();
mlir::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::UnresolvedOperand>(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::func::FuncOp callee, mlir::ValueRange operands) {
result.addOperands(operands);
result.addAttribute(getCalleeAttrNameStr(), mlir::SymbolRefAttr::get(callee));
result.addTypes(callee.getFunctionType().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);
}
//===----------------------------------------------------------------------===//
// CharConvertOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::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();
}
//===----------------------------------------------------------------------===//
// CmpOp
//===----------------------------------------------------------------------===//
template <typename OPTY>
static void printCmpOp(mlir::OpAsmPrinter &p, OPTY op) {
p << ' ';
auto predSym = mlir::arith::symbolizeCmpFPredicate(
op->template getAttrOfType<mlir::IntegerAttr>(
OPTY::getPredicateAttrName())
.getInt());
assert(predSym.has_value() && "invalid symbol value for predicate");
p << '"' << mlir::arith::stringifyCmpFPredicate(predSym.value()) << '"'
<< ", ";
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::UnresolvedOperand> 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 mlir::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<std::int64_t>(predicate)));
result.attributes = attrs;
result.addTypes({i1Type});
return mlir::success();
}
//===----------------------------------------------------------------------===//
// CmpcOp
//===----------------------------------------------------------------------===//
void fir::buildCmpCOp(mlir::OpBuilder &builder, mlir::OperationState &result,
mlir::arith::CmpFPredicate predicate, mlir::Value lhs,
mlir::Value rhs) {
result.addOperands({lhs, rhs});
result.types.push_back(builder.getI1Type());
result.addAttribute(
fir::CmpcOp::getPredicateAttrName(),
builder.getI64IntegerAttr(static_cast<std::int64_t>(predicate)));
}
mlir::arith::CmpFPredicate
fir::CmpcOp::getPredicateByName(llvm::StringRef name) {
auto pred = mlir::arith::symbolizeCmpFPredicate(name);
assert(pred.has_value() && "invalid predicate name");
return pred.value();
}
void fir::CmpcOp::print(mlir::OpAsmPrinter &p) { printCmpOp(p, *this); }
mlir::ParseResult fir::CmpcOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseCmpOp<fir::CmpcOp>(parser, result);
}
//===----------------------------------------------------------------------===//
// ConstcOp
//===----------------------------------------------------------------------===//
mlir::ParseResult fir::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::getRealAttrName(),
result.attributes) ||
parser.parseComma() ||
parser.parseAttribute(imagp, fir::ConstcOp::getImagAttrName(),
result.attributes) ||
parser.parseRParen() || parser.parseColonType(type) ||
parser.addTypesToList(type, result.types))
return mlir::failure();
return mlir::success();
}
void fir::ConstcOp::print(mlir::OpAsmPrinter &p) {
p << '(';
p << getOperation()->getAttr(fir::ConstcOp::getRealAttrName()) << ", ";
p << getOperation()->getAttr(fir::ConstcOp::getImagAttrName()) << ") : ";
p.printType(getType());
}
mlir::LogicalResult fir::ConstcOp::verify() {
if (!getType().isa<fir::ComplexType>())
return emitOpError("must be a !fir.complex type");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ConvertOp
//===----------------------------------------------------------------------===//
void fir::ConvertOp::getCanonicalizationPatterns(
mlir::RewritePatternSet &results, mlir::MLIRContext *context) {
results.insert<ConvertConvertOptPattern, ConvertAscendingIndexOptPattern,
ConvertDescendingIndexOptPattern, RedundantConvertOptPattern,
CombineConvertOptPattern, CombineConvertTruncOptPattern,
ForwardConstantConvertPattern>(context);
}
mlir::OpFoldResult fir::ConvertOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
if (getValue().getType() == getType())
return getValue();
if (matchPattern(getValue(), mlir::m_Op<fir::ConvertOp>())) {
auto inner = mlir::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, mlir::IndexType, fir::IntegerType,
fir::LogicalType>();
}
bool fir::ConvertOp::isFloatCompatible(mlir::Type ty) {
return ty.isa<mlir::FloatType, fir::RealType>();
}
bool fir::ConvertOp::isPointerCompatible(mlir::Type ty) {
return ty.isa<fir::ReferenceType, fir::PointerType, fir::HeapType,
fir::LLVMPointerType, mlir::MemRefType, mlir::FunctionType,
fir::TypeDescType>();
}
mlir::LogicalResult fir::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>()) ||
(inType.isa<fir::BoxProcType>() && outType.isa<fir::BoxProcType>()) ||
(fir::isa_complex(inType) && fir::isa_complex(outType)))
return mlir::success();
return emitOpError("invalid type conversion");
}
//===----------------------------------------------------------------------===//
// CoordinateOp
//===----------------------------------------------------------------------===//
void fir::CoordinateOp::print(mlir::OpAsmPrinter &p) {
p << ' ' << getRef() << ", " << getCoor();
p.printOptionalAttrDict((*this)->getAttrs(), /*elideAttrs=*/{"baseType"});
p << " : ";
p.printFunctionalType(getOperandTypes(), (*this)->getResultTypes());
}
mlir::ParseResult fir::CoordinateOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::OpAsmParser::UnresolvedOperand memref;
if (parser.parseOperand(memref) || parser.parseComma())
return mlir::failure();
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> coorOperands;
if (parser.parseOperandList(coorOperands))
return mlir::failure();
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> 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) ||
parser.addTypesToList(funcTy.getResults(), result.types))
return mlir::failure();
result.addAttribute("baseType", mlir::TypeAttr::get(funcTy.getInput(0)));
return mlir::success();
}
mlir::LogicalResult fir::CoordinateOp::verify() {
const mlir::Type 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 to this element type");
}
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(refTy);
unsigned dimension = 0;
const unsigned numCoors = getCoor().size();
for (auto coorOperand : llvm::enumerate(getCoor())) {
auto co = coorOperand.value();
if (dimension == 0 && eleTy.isa<fir::SequenceType>()) {
dimension = eleTy.cast<fir::SequenceType>().getDimension();
if (dimension == 0)
return emitOpError("cannot apply to array of unknown rank");
}
if (auto *defOp = co.getDefiningOp()) {
if (auto index = mlir::dyn_cast<fir::LenParamIndexOp>(defOp)) {
// 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 `index`.
if (refTy.isa<fir::BoxType>()) {
if (coorOperand.index() != numCoors - 1)
return emitOpError("len_param_index must be last argument");
if (getNumOperands() != 2)
return emitOpError("too many operands for len_param_index case");
}
if (eleTy != index.getOnType())
emitOpError(
"len_param_index type not compatible with reference type");
return mlir::success();
} else if (auto index = mlir::dyn_cast<fir::FieldIndexOp>(defOp)) {
if (eleTy != index.getOnType())
emitOpError("field_index type not compatible with reference type");
if (auto recTy = eleTy.dyn_cast<fir::RecordType>()) {
eleTy = recTy.getType(index.getFieldName());
continue;
}
return emitOpError("field_index not applied to !fir.type");
}
}
if (dimension) {
if (--dimension == 0)
eleTy = eleTy.cast<fir::SequenceType>().getEleTy();
} else {
if (auto t = eleTy.dyn_cast<mlir::TupleType>()) {
// FIXME: Generally, we don't know which field of the tuple is being
// referred to unless the operand is a constant. Just assume everything
// is good in the tuple case for now.
return mlir::success();
} else if (auto t = eleTy.dyn_cast<fir::RecordType>()) {
// FIXME: This is the same as the tuple case.
return mlir::success();
} else if (auto t = eleTy.dyn_cast<fir::ComplexType>()) {
eleTy = t.getElementType();
} else if (auto t = eleTy.dyn_cast<mlir::ComplexType>()) {
eleTy = t.getElementType();
} else if (auto t = eleTy.dyn_cast<fir::CharacterType>()) {
if (t.getLen() == fir::CharacterType::singleton())
return emitOpError("cannot apply to character singleton");
eleTy = fir::CharacterType::getSingleton(t.getContext(), t.getFKind());
if (fir::unwrapRefType(getType()) != eleTy)
return emitOpError("character type mismatch");
} else {
return emitOpError("invalid parameters (too many)");
}
}
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// DispatchOp
//===----------------------------------------------------------------------===//
mlir::FunctionType fir::DispatchOp::getFunctionType() {
return mlir::FunctionType::get(getContext(), getOperandTypes(),
getResultTypes());
}
mlir::ParseResult fir::DispatchOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::FunctionType calleeType;
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> 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 fir::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);
}
mlir::ParseResult fir::DispatchTableOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
// Parse the name as a symbol reference attribute.
mlir::SymbolRefAttr nameAttr;
if (parser.parseAttribute(nameAttr, mlir::SymbolTable::getSymbolAttrName(),
result.attributes))
return mlir::failure();
// Convert the parsed name attr into a string attr.
result.attributes.set(mlir::SymbolTable::getSymbolAttrName(),
nameAttr.getRootReference());
// Parse the optional table body.
mlir::Region *body = result.addRegion();
mlir::OptionalParseResult parseResult = parser.parseOptionalRegion(*body);
if (parseResult.has_value() && failed(*parseResult))
return mlir::failure();
fir::DispatchTableOp::ensureTerminator(*body, parser.getBuilder(),
result.location);
return mlir::success();
}
void fir::DispatchTableOp::print(mlir::OpAsmPrinter &p) {
auto tableName = getOperation()
->getAttrOfType<mlir::StringAttr>(
mlir::SymbolTable::getSymbolAttrName())
.getValue();
p << " @" << tableName;
mlir::Region &body = getOperation()->getRegion(0);
if (!body.empty()) {
p << ' ';
p.printRegion(body, /*printEntryBlockArgs=*/false,
/*printBlockTerminators=*/false);
}
}
mlir::LogicalResult fir::DispatchTableOp::verify() {
for (auto &op : getBlock())
if (!mlir::isa<fir::DTEntryOp, fir::FirEndOp>(op))
return op.emitOpError("dispatch table must contain dt_entry");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// EmboxOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::EmboxOp::verify() {
auto eleTy = fir::dyn_cast_ptrEleTy(getMemref().getType());
bool isArray = false;
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>()) {
eleTy = seqTy.getEleTy();
isArray = true;
}
if (hasLenParams()) {
auto lenPs = numLenParams();
if (auto rt = eleTy.dyn_cast<fir::RecordType>()) {
if (lenPs != rt.getNumLenParams())
return emitOpError("number of LEN params does not correspond"
" to the !fir.type type");
} else if (auto strTy = eleTy.dyn_cast<fir::CharacterType>()) {
if (strTy.getLen() != fir::CharacterType::unknownLen())
return emitOpError("CHARACTER already has static LEN");
} else {
return emitOpError("LEN parameters require CHARACTER or derived type");
}
for (auto lp : getTypeparams())
if (!fir::isa_integer(lp.getType()))
return emitOpError("LEN parameters must be integral type");
}
if (getShape() && !isArray)
return emitOpError("shape must not be provided for a scalar");
if (getSlice() && !isArray)
return emitOpError("slice must not be provided for a scalar");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// EmboxCharOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::EmboxCharOp::verify() {
auto eleTy = fir::dyn_cast_ptrEleTy(getMemref().getType());
if (!eleTy.dyn_cast_or_null<fir::CharacterType>())
return mlir::failure();
return mlir::success();
}
//===----------------------------------------------------------------------===//
// EmboxProcOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::EmboxProcOp::verify() {
// host bindings (optional) must be a reference to a tuple
if (auto h = getHost()) {
if (auto r = h.getType().dyn_cast<fir::ReferenceType>())
if (r.getEleTy().isa<mlir::TupleType>())
return mlir::success();
return mlir::failure();
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// GenTypeDescOp
//===----------------------------------------------------------------------===//
void fir::GenTypeDescOp::build(mlir::OpBuilder &, mlir::OperationState &result,
mlir::TypeAttr inty) {
result.addAttribute("in_type", inty);
result.addTypes(TypeDescType::get(inty.getValue()));
}
mlir::ParseResult fir::GenTypeDescOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::Type intype;
if (parser.parseType(intype))
return mlir::failure();
result.addAttribute("in_type", mlir::TypeAttr::get(intype));
mlir::Type restype = fir::TypeDescType::get(intype);
if (parser.addTypeToList(restype, result.types))
return mlir::failure();
return mlir::success();
}
void fir::GenTypeDescOp::print(mlir::OpAsmPrinter &p) {
p << ' ' << getOperation()->getAttr("in_type");
p.printOptionalAttrDict(getOperation()->getAttrs(), {"in_type"});
}
mlir::LogicalResult fir::GenTypeDescOp::verify() {
mlir::Type resultTy = getType();
if (auto tdesc = resultTy.dyn_cast<fir::TypeDescType>()) {
if (tdesc.getOfTy() != getInType())
return emitOpError("wrapped type mismatched");
return mlir::success();
}
return emitOpError("must be !fir.tdesc type");
}
//===----------------------------------------------------------------------===//
// GlobalOp
//===----------------------------------------------------------------------===//
mlir::Type fir::GlobalOp::resultType() {
return wrapAllocaResultType(getType());
}
mlir::ParseResult fir::GlobalOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
// Parse the optional linkage
llvm::StringRef linkage;
auto &builder = parser.getBuilder();
if (mlir::succeeded(parser.parseOptionalKeyword(&linkage))) {
if (fir::GlobalOp::verifyValidLinkage(linkage))
return mlir::failure();
mlir::StringAttr linkAttr = builder.getStringAttr(linkage);
result.addAttribute(fir::GlobalOp::getLinkageAttrNameStr(), linkAttr);
}
// Parse the name as a symbol reference attribute.
mlir::SymbolRefAttr nameAttr;
if (parser.parseAttribute(nameAttr, fir::GlobalOp::getSymbolAttrNameStr(),
result.attributes))
return mlir::failure();
result.addAttribute(mlir::SymbolTable::getSymbolAttrName(),
nameAttr.getRootReference());
bool simpleInitializer = false;
if (mlir::succeeded(parser.parseOptionalLParen())) {
mlir::Attribute attr;
if (parser.parseAttribute(attr, "initVal", result.attributes) ||
parser.parseRParen())
return mlir::failure();
simpleInitializer = true;
}
if (succeeded(parser.parseOptionalKeyword("constant"))) {
// if "constant" keyword then mark this as a constant, not a variable
result.addAttribute("constant", builder.getUnitAttr());
}
mlir::Type globalType;
if (parser.parseColonType(globalType))
return mlir::failure();
result.addAttribute(fir::GlobalOp::getTypeAttrName(result.name),
mlir::TypeAttr::get(globalType));
if (simpleInitializer) {
result.addRegion();
} else {
// Parse the optional initializer body.
auto parseResult =
parser.parseOptionalRegion(*result.addRegion(), /*arguments=*/{});
if (parseResult.has_value() && mlir::failed(*parseResult))
return mlir::failure();
}
return mlir::success();
}
void fir::GlobalOp::print(mlir::OpAsmPrinter &p) {
if (getLinkName())
p << ' ' << *getLinkName();
p << ' ';
p.printAttributeWithoutType(getSymrefAttr());
if (auto val = getValueOrNull())
p << '(' << val << ')';
if (getOperation()->getAttr(fir::GlobalOp::getConstantAttrNameStr()))
p << " constant";
p << " : ";
p.printType(getType());
if (hasInitializationBody()) {
p << ' ';
p.printRegion(getOperation()->getRegion(0),
/*printEntryBlockArgs=*/false,
/*printBlockTerminators=*/true);
}
}
void fir::GlobalOp::appendInitialValue(mlir::Operation *op) {
getBlock().getOperations().push_back(op);
}
void fir::GlobalOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, llvm::StringRef name,
bool isConstant, mlir::Type type,
mlir::Attribute initialVal, mlir::StringAttr linkage,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
result.addRegion();
result.addAttribute(getTypeAttrName(result.name), mlir::TypeAttr::get(type));
result.addAttribute(mlir::SymbolTable::getSymbolAttrName(),
builder.getStringAttr(name));
result.addAttribute(getSymbolAttrNameStr(),
mlir::SymbolRefAttr::get(builder.getContext(), name));
if (isConstant)
result.addAttribute(getConstantAttrName(result.name),
builder.getUnitAttr());
if (initialVal)
result.addAttribute(getInitValAttrName(result.name), initialVal);
if (linkage)
result.addAttribute(getLinkageAttrNameStr(), linkage);
result.attributes.append(attrs.begin(), attrs.end());
}
void fir::GlobalOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, llvm::StringRef name,
mlir::Type type, mlir::Attribute initialVal,
mlir::StringAttr linkage,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
build(builder, result, name, /*isConstant=*/false, type, {}, linkage, attrs);
}
void fir::GlobalOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, llvm::StringRef name,
bool isConstant, mlir::Type type,
mlir::StringAttr linkage,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
build(builder, result, name, isConstant, type, {}, linkage, attrs);
}
void fir::GlobalOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, llvm::StringRef name,
mlir::Type type, mlir::StringAttr linkage,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
build(builder, result, name, /*isConstant=*/false, type, {}, linkage, attrs);
}
void fir::GlobalOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, llvm::StringRef name,
bool isConstant, mlir::Type type,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
build(builder, result, name, isConstant, type, mlir::StringAttr{}, attrs);
}
void fir::GlobalOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, llvm::StringRef name,
mlir::Type type,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
build(builder, result, name, /*isConstant=*/false, type, attrs);
}
mlir::ParseResult fir::GlobalOp::verifyValidLinkage(llvm::StringRef linkage) {
// Supporting only a subset of the LLVM linkage types for now
static const char *validNames[] = {"common", "internal", "linkonce",
"linkonce_odr", "weak"};
return mlir::success(llvm::is_contained(validNames, linkage));
}
//===----------------------------------------------------------------------===//
// GlobalLenOp
//===----------------------------------------------------------------------===//
mlir::ParseResult fir::GlobalLenOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
llvm::StringRef fieldName;
if (failed(parser.parseOptionalKeyword(&fieldName))) {
mlir::StringAttr fieldAttr;
if (parser.parseAttribute(fieldAttr,
fir::GlobalLenOp::getLenParamAttrName(),
result.attributes))
return mlir::failure();
} else {
result.addAttribute(fir::GlobalLenOp::getLenParamAttrName(),
parser.getBuilder().getStringAttr(fieldName));
}
mlir::IntegerAttr constant;
if (parser.parseComma() ||
parser.parseAttribute(constant, fir::GlobalLenOp::getIntAttrName(),
result.attributes))
return mlir::failure();
return mlir::success();
}
void fir::GlobalLenOp::print(mlir::OpAsmPrinter &p) {
p << ' ' << getOperation()->getAttr(fir::GlobalLenOp::getLenParamAttrName())
<< ", " << getOperation()->getAttr(fir::GlobalLenOp::getIntAttrName());
}
//===----------------------------------------------------------------------===//
// FieldIndexOp
//===----------------------------------------------------------------------===//
template <typename TY>
mlir::ParseResult parseFieldLikeOp(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
llvm::StringRef fieldName;
auto &builder = parser.getBuilder();
mlir::Type recty;
if (parser.parseOptionalKeyword(&fieldName) || parser.parseComma() ||
parser.parseType(recty))
return mlir::failure();
result.addAttribute(fir::FieldIndexOp::getFieldAttrName(),
builder.getStringAttr(fieldName));
if (!recty.dyn_cast<fir::RecordType>())
return mlir::failure();
result.addAttribute(fir::FieldIndexOp::getTypeAttrName(),
mlir::TypeAttr::get(recty));
if (!parser.parseOptionalLParen()) {
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> operands;
llvm::SmallVector<mlir::Type> types;
auto loc = parser.getNameLoc();
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::None) ||
parser.parseColonTypeList(types) || parser.parseRParen() ||
parser.resolveOperands(operands, types, loc, result.operands))
return mlir::failure();
}
mlir::Type fieldType = TY::get(builder.getContext());
if (parser.addTypeToList(fieldType, result.types))
return mlir::failure();
return mlir::success();
}
mlir::ParseResult fir::FieldIndexOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseFieldLikeOp<fir::FieldType>(parser, result);
}
template <typename OP>
void printFieldLikeOp(mlir::OpAsmPrinter &p, OP &op) {
p << ' '
<< op.getOperation()
->template getAttrOfType<mlir::StringAttr>(
fir::FieldIndexOp::getFieldAttrName())
.getValue()
<< ", " << op.getOperation()->getAttr(fir::FieldIndexOp::getTypeAttrName());
if (op.getNumOperands()) {
p << '(';
p.printOperands(op.getTypeparams());
auto sep = ") : ";
for (auto op : op.getTypeparams()) {
p << sep;
if (op)
p.printType(op.getType());
else
p << "()";
sep = ", ";
}
}
}
void fir::FieldIndexOp::print(mlir::OpAsmPrinter &p) {
printFieldLikeOp(p, *this);
}
void fir::FieldIndexOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
llvm::StringRef fieldName, mlir::Type recTy,
mlir::ValueRange operands) {
result.addAttribute(getFieldAttrName(), builder.getStringAttr(fieldName));
result.addAttribute(getTypeAttrName(), mlir::TypeAttr::get(recTy));
result.addOperands(operands);
}
llvm::SmallVector<mlir::Attribute> fir::FieldIndexOp::getAttributes() {
llvm::SmallVector<mlir::Attribute> attrs;
attrs.push_back(getFieldIdAttr());
attrs.push_back(getOnTypeAttr());
return attrs;
}
//===----------------------------------------------------------------------===//
// InsertOnRangeOp
//===----------------------------------------------------------------------===//
static mlir::ParseResult
parseCustomRangeSubscript(mlir::OpAsmParser &parser,
mlir::DenseIntElementsAttr &coord) {
llvm::SmallVector<std::int64_t> lbounds;
llvm::SmallVector<std::int64_t> ubounds;
if (parser.parseKeyword("from") ||
parser.parseCommaSeparatedList(
mlir::AsmParser::Delimiter::Paren,
[&] { return parser.parseInteger(lbounds.emplace_back(0)); }) ||
parser.parseKeyword("to") ||
parser.parseCommaSeparatedList(mlir::AsmParser::Delimiter::Paren, [&] {
return parser.parseInteger(ubounds.emplace_back(0));
}))
return mlir::failure();
llvm::SmallVector<std::int64_t> zippedBounds;
for (auto zip : llvm::zip(lbounds, ubounds)) {
zippedBounds.push_back(std::get<0>(zip));
zippedBounds.push_back(std::get<1>(zip));
}
coord = mlir::Builder(parser.getContext()).getIndexTensorAttr(zippedBounds);
return mlir::success();
}
static void printCustomRangeSubscript(mlir::OpAsmPrinter &printer,
fir::InsertOnRangeOp op,
mlir::DenseIntElementsAttr coord) {
printer << "from (";
auto enumerate = llvm::enumerate(coord.getValues<std::int64_t>());
// Even entries are the lower bounds.
llvm::interleaveComma(
make_filter_range(
enumerate,
[](auto indexed_value) { return indexed_value.index() % 2 == 0; }),
printer, [&](auto indexed_value) { printer << indexed_value.value(); });
printer << ") to (";
// Odd entries are the upper bounds.
llvm::interleaveComma(
make_filter_range(
enumerate,
[](auto indexed_value) { return indexed_value.index() % 2 != 0; }),
printer, [&](auto indexed_value) { printer << indexed_value.value(); });
printer << ")";
}
/// Range bounds must be nonnegative, and the range must not be empty.
mlir::LogicalResult fir::InsertOnRangeOp::verify() {
if (fir::hasDynamicSize(getSeq().getType()))
return emitOpError("must have constant shape and size");
mlir::DenseIntElementsAttr coorAttr = getCoor();
if (coorAttr.size() < 2 || coorAttr.size() % 2 != 0)
return emitOpError("has uneven number of values in ranges");
bool rangeIsKnownToBeNonempty = false;
for (auto i = coorAttr.getValues<std::int64_t>().end(),
b = coorAttr.getValues<std::int64_t>().begin();
i != b;) {
int64_t ub = (*--i);
int64_t lb = (*--i);
if (lb < 0 || ub < 0)
return emitOpError("negative range bound");
if (rangeIsKnownToBeNonempty)
continue;
if (lb > ub)
return emitOpError("empty range");
rangeIsKnownToBeNonempty = lb < ub;
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// InsertValueOp
//===----------------------------------------------------------------------===//
static bool checkIsIntegerConstant(mlir::Attribute attr, std::int64_t conVal) {
if (auto iattr = attr.dyn_cast<mlir::IntegerAttr>())
return iattr.getInt() == conVal;
return false;
}
static bool isZero(mlir::Attribute a) { return checkIsIntegerConstant(a, 0); }
static bool isOne(mlir::Attribute a) { return checkIsIntegerConstant(a, 1); }
// Undo some complex patterns created in the front-end and turn them back into
// complex ops.
template <typename FltOp, typename CpxOp>
struct UndoComplexPattern : public mlir::RewritePattern {
UndoComplexPattern(mlir::MLIRContext *ctx)
: mlir::RewritePattern("fir.insert_value", 2, ctx) {}
mlir::LogicalResult
matchAndRewrite(mlir::Operation *op,
mlir::PatternRewriter &rewriter) const override {
auto insval = mlir::dyn_cast_or_null<fir::InsertValueOp>(op);
if (!insval || !insval.getType().isa<fir::ComplexType>())
return mlir::failure();
auto insval2 = mlir::dyn_cast_or_null<fir::InsertValueOp>(
insval.getAdt().getDefiningOp());
if (!insval2)
return mlir::failure();
auto binf = mlir::dyn_cast_or_null<FltOp>(insval.getVal().getDefiningOp());
auto binf2 =
mlir::dyn_cast_or_null<FltOp>(insval2.getVal().getDefiningOp());
if (!binf || !binf2 || insval.getCoor().size() != 1 ||
!isOne(insval.getCoor()[0]) || insval2.getCoor().size() != 1 ||
!isZero(insval2.getCoor()[0]))
return mlir::failure();
auto eai = mlir::dyn_cast_or_null<fir::ExtractValueOp>(
binf.getLhs().getDefiningOp());
auto ebi = mlir::dyn_cast_or_null<fir::ExtractValueOp>(
binf.getRhs().getDefiningOp());
auto ear = mlir::dyn_cast_or_null<fir::ExtractValueOp>(
binf2.getLhs().getDefiningOp());
auto ebr = mlir::dyn_cast_or_null<fir::ExtractValueOp>(
binf2.getRhs().getDefiningOp());
if (!eai || !ebi || !ear || !ebr || ear.getAdt() != eai.getAdt() ||
ebr.getAdt() != ebi.getAdt() || eai.getCoor().size() != 1 ||
!isOne(eai.getCoor()[0]) || ebi.getCoor().size() != 1 ||
!isOne(ebi.getCoor()[0]) || ear.getCoor().size() != 1 ||
!isZero(ear.getCoor()[0]) || ebr.getCoor().size() != 1 ||
!isZero(ebr.getCoor()[0]))
return mlir::failure();
rewriter.replaceOpWithNewOp<CpxOp>(op, ear.getAdt(), ebr.getAdt());
return mlir::success();
}
};
void fir::InsertValueOp::getCanonicalizationPatterns(
mlir::RewritePatternSet &results, mlir::MLIRContext *context) {
results.insert<UndoComplexPattern<mlir::arith::AddFOp, fir::AddcOp>,
UndoComplexPattern<mlir::arith::SubFOp, fir::SubcOp>>(context);
}
//===----------------------------------------------------------------------===//
// IterWhileOp
//===----------------------------------------------------------------------===//
void fir::IterWhileOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Value lb,
mlir::Value ub, mlir::Value step,
mlir::Value iterate, bool finalCountValue,
mlir::ValueRange iterArgs,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
result.addOperands({lb, ub, step, iterate});
if (finalCountValue) {
result.addTypes(builder.getIndexType());
result.addAttribute(getFinalValueAttrNameStr(), builder.getUnitAttr());
}
result.addTypes(iterate.getType());
result.addOperands(iterArgs);
for (auto v : iterArgs)
result.addTypes(v.getType());
mlir::Region *bodyRegion = result.addRegion();
bodyRegion->push_back(new mlir::Block{});
bodyRegion->front().addArgument(builder.getIndexType(), result.location);
bodyRegion->front().addArgument(iterate.getType(), result.location);
bodyRegion->front().addArguments(
iterArgs.getTypes(),
llvm::SmallVector<mlir::Location>(iterArgs.size(), result.location));
result.addAttributes(attributes);
}
mlir::ParseResult fir::IterWhileOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
auto &builder = parser.getBuilder();
mlir::OpAsmParser::Argument inductionVariable, iterateVar;
mlir::OpAsmParser::UnresolvedOperand lb, ub, step, iterateInput;
if (parser.parseLParen() || parser.parseArgument(inductionVariable) ||
parser.parseEqual())
return mlir::failure();
// Parse loop bounds.
auto indexType = builder.getIndexType();
auto i1Type = builder.getIntegerType(1);
if (parser.parseOperand(lb) ||
parser.resolveOperand(lb, indexType, result.operands) ||
parser.parseKeyword("to") || parser.parseOperand(ub) ||
parser.resolveOperand(ub, indexType, result.operands) ||
parser.parseKeyword("step") || parser.parseOperand(step) ||
parser.parseRParen() ||
parser.resolveOperand(step, indexType, result.operands) ||
parser.parseKeyword("and") || parser.parseLParen() ||
parser.parseArgument(iterateVar) || parser.parseEqual() ||
parser.parseOperand(iterateInput) || parser.parseRParen() ||
parser.resolveOperand(iterateInput, i1Type, result.operands))
return mlir::failure();
// Parse the initial iteration arguments.
auto prependCount = false;
// Induction variable.
llvm::SmallVector<mlir::OpAsmParser::Argument> regionArgs;
regionArgs.push_back(inductionVariable);
regionArgs.push_back(iterateVar);
if (succeeded(parser.parseOptionalKeyword("iter_args"))) {
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> operands;
llvm::SmallVector<mlir::Type> regionTypes;
// Parse assignment list and results type list.
if (parser.parseAssignmentList(regionArgs, operands) ||
parser.parseArrowTypeList(regionTypes))
return mlir::failure();
if (regionTypes.size() == operands.size() + 2)
prependCount = true;
llvm::ArrayRef<mlir::Type> resTypes = regionTypes;
resTypes = prependCount ? resTypes.drop_front(2) : resTypes;
// Resolve input operands.
for (auto operandType : llvm::zip(operands, resTypes))
if (parser.resolveOperand(std::get<0>(operandType),
std::get<1>(operandType), result.operands))
return mlir::failure();
if (prependCount) {
result.addTypes(regionTypes);
} else {
result.addTypes(i1Type);
result.addTypes(resTypes);
}
} else if (succeeded(parser.parseOptionalArrow())) {
llvm::SmallVector<mlir::Type> typeList;
if (parser.parseLParen() || parser.parseTypeList(typeList) ||
parser.parseRParen())
return mlir::failure();
// Type list must be "(index, i1)".
if (typeList.size() != 2 || !typeList[0].isa<mlir::IndexType>() ||
!typeList[1].isSignlessInteger(1))
return mlir::failure();
result.addTypes(typeList);
prependCount = true;
} else {
result.addTypes(i1Type);
}
if (parser.parseOptionalAttrDictWithKeyword(result.attributes))
return mlir::failure();
llvm::SmallVector<mlir::Type> argTypes;
// Induction variable (hidden)
if (prependCount)
result.addAttribute(IterWhileOp::getFinalValueAttrNameStr(),
builder.getUnitAttr());
else
argTypes.push_back(indexType);
// Loop carried variables (including iterate)
argTypes.append(result.types.begin(), result.types.end());
// Parse the body region.
auto *body = result.addRegion();
if (regionArgs.size() != argTypes.size())
return parser.emitError(
parser.getNameLoc(),
"mismatch in number of loop-carried values and defined values");
for (size_t i = 0, e = regionArgs.size(); i != e; ++i)
regionArgs[i].type = argTypes[i];
if (parser.parseRegion(*body, regionArgs))
return mlir::failure();
fir::IterWhileOp::ensureTerminator(*body, builder, result.location);
return mlir::success();
}
mlir::LogicalResult fir::IterWhileOp::verify() {
// Check that the body defines as single block argument for the induction
// variable.
auto *body = getBody();
if (!body->getArgument(1).getType().isInteger(1))
return emitOpError(
"expected body second argument to be an index argument for "
"the induction variable");
if (!body->getArgument(0).getType().isIndex())
return emitOpError(
"expected body first argument to be an index argument for "
"the induction variable");
auto opNumResults = getNumResults();
if (getFinalValue()) {
// Result type must be "(index, i1, ...)".
if (!getResult(0).getType().isa<mlir::IndexType>())
return emitOpError("result #0 expected to be index");
if (!getResult(1).getType().isSignlessInteger(1))
return emitOpError("result #1 expected to be i1");
opNumResults--;
} else {
// iterate_while always returns the early exit induction value.
// Result type must be "(i1, ...)"
if (!getResult(0).getType().isSignlessInteger(1))
return emitOpError("result #0 expected to be i1");
}
if (opNumResults == 0)
return mlir::failure();
if (getNumIterOperands() != opNumResults)
return emitOpError(
"mismatch in number of loop-carried values and defined values");
if (getNumRegionIterArgs() != opNumResults)
return emitOpError(
"mismatch in number of basic block args and defined values");
auto iterOperands = getIterOperands();
auto iterArgs = getRegionIterArgs();
auto opResults = getFinalValue() ? getResults().drop_front() : getResults();
unsigned i = 0u;
for (auto e : llvm::zip(iterOperands, iterArgs, opResults)) {
if (std::get<0>(e).getType() != std::get<2>(e).getType())
return emitOpError() << "types mismatch between " << i
<< "th iter operand and defined value";
if (std::get<1>(e).getType() != std::get<2>(e).getType())
return emitOpError() << "types mismatch between " << i
<< "th iter region arg and defined value";
i++;
}
return mlir::success();
}
void fir::IterWhileOp::print(mlir::OpAsmPrinter &p) {
p << " (" << getInductionVar() << " = " << getLowerBound() << " to "
<< getUpperBound() << " step " << getStep() << ") and (";
assert(hasIterOperands());
auto regionArgs = getRegionIterArgs();
auto operands = getIterOperands();
p << regionArgs.front() << " = " << *operands.begin() << ")";
if (regionArgs.size() > 1) {
p << " iter_args(";
llvm::interleaveComma(
llvm::zip(regionArgs.drop_front(), operands.drop_front()), p,
[&](auto it) { p << std::get<0>(it) << " = " << std::get<1>(it); });
p << ") -> (";
llvm::interleaveComma(
llvm::drop_begin(getResultTypes(), getFinalValue() ? 0 : 1), p);
p << ")";
} else if (getFinalValue()) {
p << " -> (" << getResultTypes() << ')';
}
p.printOptionalAttrDictWithKeyword((*this)->getAttrs(),
{getFinalValueAttrNameStr()});
p << ' ';
p.printRegion(getRegion(), /*printEntryBlockArgs=*/false,
/*printBlockTerminators=*/true);
}
mlir::Region &fir::IterWhileOp::getLoopBody() { return getRegion(); }
mlir::BlockArgument fir::IterWhileOp::iterArgToBlockArg(mlir::Value iterArg) {
for (auto i : llvm::enumerate(getInitArgs()))
if (iterArg == i.value())
return getRegion().front().getArgument(i.index() + 1);
return {};
}
void fir::IterWhileOp::resultToSourceOps(
llvm::SmallVectorImpl<mlir::Value> &results, unsigned resultNum) {
auto oper = getFinalValue() ? resultNum + 1 : resultNum;
auto *term = getRegion().front().getTerminator();
if (oper < term->getNumOperands())
results.push_back(term->getOperand(oper));
}
mlir::Value fir::IterWhileOp::blockArgToSourceOp(unsigned blockArgNum) {
if (blockArgNum > 0 && blockArgNum <= getInitArgs().size())
return getInitArgs()[blockArgNum - 1];
return {};
}
//===----------------------------------------------------------------------===//
// LenParamIndexOp
//===----------------------------------------------------------------------===//
mlir::ParseResult fir::LenParamIndexOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseFieldLikeOp<fir::LenType>(parser, result);
}
void fir::LenParamIndexOp::print(mlir::OpAsmPrinter &p) {
printFieldLikeOp(p, *this);
}
void fir::LenParamIndexOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
llvm::StringRef fieldName, mlir::Type recTy,
mlir::ValueRange operands) {
result.addAttribute(getFieldAttrName(), builder.getStringAttr(fieldName));
result.addAttribute(getTypeAttrName(), mlir::TypeAttr::get(recTy));
result.addOperands(operands);
}
llvm::SmallVector<mlir::Attribute> fir::LenParamIndexOp::getAttributes() {
llvm::SmallVector<mlir::Attribute> attrs;
attrs.push_back(getFieldIdAttr());
attrs.push_back(getOnTypeAttr());
return attrs;
}
//===----------------------------------------------------------------------===//
// LoadOp
//===----------------------------------------------------------------------===//
void fir::LoadOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
mlir::Value refVal) {
if (!refVal) {
mlir::emitError(result.location, "LoadOp has null argument");
return;
}
auto eleTy = fir::dyn_cast_ptrEleTy(refVal.getType());
if (!eleTy) {
mlir::emitError(result.location, "not a memory reference type");
return;
}
result.addOperands(refVal);
result.addTypes(eleTy);
}
mlir::ParseResult fir::LoadOp::getElementOf(mlir::Type &ele, mlir::Type ref) {
if ((ele = fir::dyn_cast_ptrEleTy(ref)))
return mlir::success();
return mlir::failure();
}
mlir::ParseResult fir::LoadOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::Type type;
mlir::OpAsmParser::UnresolvedOperand oper;
if (parser.parseOperand(oper) ||
parser.parseOptionalAttrDict(result.attributes) ||
parser.parseColonType(type) ||
parser.resolveOperand(oper, type, result.operands))
return mlir::failure();
mlir::Type eleTy;
if (fir::LoadOp::getElementOf(eleTy, type) ||
parser.addTypeToList(eleTy, result.types))
return mlir::failure();
return mlir::success();
}
void fir::LoadOp::print(mlir::OpAsmPrinter &p) {
p << ' ';
p.printOperand(getMemref());
p.printOptionalAttrDict(getOperation()->getAttrs(), {});
p << " : " << getMemref().getType();
}
//===----------------------------------------------------------------------===//
// DoLoopOp
//===----------------------------------------------------------------------===//
void fir::DoLoopOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result, mlir::Value lb,
mlir::Value ub, mlir::Value step, bool unordered,
bool finalCountValue, mlir::ValueRange iterArgs,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
result.addOperands({lb, ub, step});
result.addOperands(iterArgs);
if (finalCountValue) {
result.addTypes(builder.getIndexType());
result.addAttribute(getFinalValueAttrName(result.name),
builder.getUnitAttr());
}
for (auto v : iterArgs)
result.addTypes(v.getType());
mlir::Region *bodyRegion = result.addRegion();
bodyRegion->push_back(new mlir::Block{});
if (iterArgs.empty() && !finalCountValue)
fir::DoLoopOp::ensureTerminator(*bodyRegion, builder, result.location);
bodyRegion->front().addArgument(builder.getIndexType(), result.location);
bodyRegion->front().addArguments(
iterArgs.getTypes(),
llvm::SmallVector<mlir::Location>(iterArgs.size(), result.location));
if (unordered)
result.addAttribute(getUnorderedAttrName(result.name),
builder.getUnitAttr());
result.addAttributes(attributes);
}
mlir::ParseResult fir::DoLoopOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
auto &builder = parser.getBuilder();
mlir::OpAsmParser::Argument inductionVariable;
mlir::OpAsmParser::UnresolvedOperand lb, ub, step;
// Parse the induction variable followed by '='.
if (parser.parseArgument(inductionVariable) || parser.parseEqual())
return mlir::failure();
// Parse loop bounds.
auto indexType = builder.getIndexType();
if (parser.parseOperand(lb) ||
parser.resolveOperand(lb, indexType, result.operands) ||
parser.parseKeyword("to") || parser.parseOperand(ub) ||
parser.resolveOperand(ub, indexType, result.operands) ||
parser.parseKeyword("step") || parser.parseOperand(step) ||
parser.resolveOperand(step, indexType, result.operands))
return mlir::failure();
if (mlir::succeeded(parser.parseOptionalKeyword("unordered")))
result.addAttribute("unordered", builder.getUnitAttr());
// Parse the optional initial iteration arguments.
llvm::SmallVector<mlir::OpAsmParser::Argument> regionArgs;
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> operands;
llvm::SmallVector<mlir::Type> argTypes;
bool prependCount = false;
regionArgs.push_back(inductionVariable);
if (succeeded(parser.parseOptionalKeyword("iter_args"))) {
// Parse assignment list and results type list.
if (parser.parseAssignmentList(regionArgs, operands) ||
parser.parseArrowTypeList(result.types))
return mlir::failure();
if (result.types.size() == operands.size() + 1)
prependCount = true;
// Resolve input operands.
llvm::ArrayRef<mlir::Type> resTypes = result.types;
for (auto operand_type :
llvm::zip(operands, prependCount ? resTypes.drop_front() : resTypes))
if (parser.resolveOperand(std::get<0>(operand_type),
std::get<1>(operand_type), result.operands))
return mlir::failure();
} else if (succeeded(parser.parseOptionalArrow())) {
if (parser.parseKeyword("index"))
return mlir::failure();
result.types.push_back(indexType);
prependCount = true;
}
if (parser.parseOptionalAttrDictWithKeyword(result.attributes))
return mlir::failure();
// Induction variable.
if (prependCount)
result.addAttribute(DoLoopOp::getFinalValueAttrName(result.name),
builder.getUnitAttr());
else
argTypes.push_back(indexType);
// Loop carried variables
argTypes.append(result.types.begin(), result.types.end());
// Parse the body region.
auto *body = result.addRegion();
if (regionArgs.size() != argTypes.size())
return parser.emitError(
parser.getNameLoc(),
"mismatch in number of loop-carried values and defined values");
for (size_t i = 0, e = regionArgs.size(); i != e; ++i)
regionArgs[i].type = argTypes[i];
if (parser.parseRegion(*body, regionArgs))
return mlir::failure();
DoLoopOp::ensureTerminator(*body, builder, result.location);
return mlir::success();
}
fir::DoLoopOp fir::getForInductionVarOwner(mlir::Value val) {
auto ivArg = val.dyn_cast<mlir::BlockArgument>();
if (!ivArg)
return {};
assert(ivArg.getOwner() && "unlinked block argument");
auto *containingInst = ivArg.getOwner()->getParentOp();
return mlir::dyn_cast_or_null<fir::DoLoopOp>(containingInst);
}
// Lifted from loop.loop
mlir::LogicalResult fir::DoLoopOp::verify() {
// Check that the body defines as single block argument for the induction
// variable.
auto *body = getBody();
if (!body->getArgument(0).getType().isIndex())
return emitOpError(
"expected body first argument to be an index argument for "
"the induction variable");
auto opNumResults = getNumResults();
if (opNumResults == 0)
return mlir::success();
if (getFinalValue()) {
if (getUnordered())
return emitOpError("unordered loop has no final value");
opNumResults--;
}
if (getNumIterOperands() != opNumResults)
return emitOpError(
"mismatch in number of loop-carried values and defined values");
if (getNumRegionIterArgs() != opNumResults)
return emitOpError(
"mismatch in number of basic block args and defined values");
auto iterOperands = getIterOperands();
auto iterArgs = getRegionIterArgs();
auto opResults = getFinalValue() ? getResults().drop_front() : getResults();
unsigned i = 0u;
for (auto e : llvm::zip(iterOperands, iterArgs, opResults)) {
if (std::get<0>(e).getType() != std::get<2>(e).getType())
return emitOpError() << "types mismatch between " << i
<< "th iter operand and defined value";
if (std::get<1>(e).getType() != std::get<2>(e).getType())
return emitOpError() << "types mismatch between " << i
<< "th iter region arg and defined value";
i++;
}
return mlir::success();
}
void fir::DoLoopOp::print(mlir::OpAsmPrinter &p) {
bool printBlockTerminators = false;
p << ' ' << getInductionVar() << " = " << getLowerBound() << " to "
<< getUpperBound() << " step " << getStep();
if (getUnordered())
p << " unordered";
if (hasIterOperands()) {
p << " iter_args(";
auto regionArgs = getRegionIterArgs();
auto operands = getIterOperands();
llvm::interleaveComma(llvm::zip(regionArgs, operands), p, [&](auto it) {
p << std::get<0>(it) << " = " << std::get<1>(it);
});
p << ") -> (" << getResultTypes() << ')';
printBlockTerminators = true;
} else if (getFinalValue()) {
p << " -> " << getResultTypes();
printBlockTerminators = true;
}
p.printOptionalAttrDictWithKeyword((*this)->getAttrs(),
{"unordered", "finalValue"});
p << ' ';
p.printRegion(getRegion(), /*printEntryBlockArgs=*/false,
printBlockTerminators);
}
mlir::Region &fir::DoLoopOp::getLoopBody() { return getRegion(); }
/// Translate a value passed as an iter_arg to the corresponding block
/// argument in the body of the loop.
mlir::BlockArgument fir::DoLoopOp::iterArgToBlockArg(mlir::Value iterArg) {
for (auto i : llvm::enumerate(getInitArgs()))
if (iterArg == i.value())
return getRegion().front().getArgument(i.index() + 1);
return {};
}
/// Translate the result vector (by index number) to the corresponding value
/// to the `fir.result` Op.
void fir::DoLoopOp::resultToSourceOps(
llvm::SmallVectorImpl<mlir::Value> &results, unsigned resultNum) {
auto oper = getFinalValue() ? resultNum + 1 : resultNum;
auto *term = getRegion().front().getTerminator();
if (oper < term->getNumOperands())
results.push_back(term->getOperand(oper));
}
/// Translate the block argument (by index number) to the corresponding value
/// passed as an iter_arg to the parent DoLoopOp.
mlir::Value fir::DoLoopOp::blockArgToSourceOp(unsigned blockArgNum) {
if (blockArgNum > 0 && blockArgNum <= getInitArgs().size())
return getInitArgs()[blockArgNum - 1];
return {};
}
//===----------------------------------------------------------------------===//
// DTEntryOp
//===----------------------------------------------------------------------===//
mlir::ParseResult fir::DTEntryOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
llvm::StringRef methodName;
// allow `methodName` or `"methodName"`
if (failed(parser.parseOptionalKeyword(&methodName))) {
mlir::StringAttr methodAttr;
if (parser.parseAttribute(methodAttr,
fir::DTEntryOp::getMethodAttrNameStr(),
result.attributes))
return mlir::failure();
} else {
result.addAttribute(fir::DTEntryOp::getMethodAttrNameStr(),
parser.getBuilder().getStringAttr(methodName));
}
mlir::SymbolRefAttr calleeAttr;
if (parser.parseComma() ||
parser.parseAttribute(calleeAttr, fir::DTEntryOp::getProcAttrNameStr(),
result.attributes))
return mlir::failure();
return mlir::success();
}
void fir::DTEntryOp::print(mlir::OpAsmPrinter &p) {
p << ' ' << getMethodAttr() << ", " << getProcAttr();
}
//===----------------------------------------------------------------------===//
// ReboxOp
//===----------------------------------------------------------------------===//
/// Get the scalar type related to a fir.box type.
/// Example: return f32 for !fir.box<!fir.heap<!fir.array<?x?xf32>>.
static mlir::Type getBoxScalarEleTy(mlir::Type boxTy) {
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(boxTy);
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>())
return seqTy.getEleTy();
return eleTy;
}
/// Get the rank from a !fir.box type
static unsigned getBoxRank(mlir::Type boxTy) {
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(boxTy);
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>())
return seqTy.getDimension();
return 0;
}
/// Test if \p t1 and \p t2 are compatible character types (if they can
/// represent the same type at runtime).
static bool areCompatibleCharacterTypes(mlir::Type t1, mlir::Type t2) {
auto c1 = t1.dyn_cast<fir::CharacterType>();
auto c2 = t2.dyn_cast<fir::CharacterType>();
if (!c1 || !c2)
return false;
if (c1.hasDynamicLen() || c2.hasDynamicLen())
return true;
return c1.getLen() == c2.getLen();
}
mlir::LogicalResult fir::ReboxOp::verify() {
auto inputBoxTy = getBox().getType();
if (fir::isa_unknown_size_box(inputBoxTy))
return emitOpError("box operand must not have unknown rank or type");
auto outBoxTy = getType();
if (fir::isa_unknown_size_box(outBoxTy))
return emitOpError("result type must not have unknown rank or type");
auto inputRank = getBoxRank(inputBoxTy);
auto inputEleTy = getBoxScalarEleTy(inputBoxTy);
auto outRank = getBoxRank(outBoxTy);
auto outEleTy = getBoxScalarEleTy(outBoxTy);
if (auto sliceVal = getSlice()) {
// Slicing case
if (sliceVal.getType().cast<fir::SliceType>().getRank() != inputRank)
return emitOpError("slice operand rank must match box operand rank");
if (auto shapeVal = getShape()) {
if (auto shiftTy = shapeVal.getType().dyn_cast<fir::ShiftType>()) {
if (shiftTy.getRank() != inputRank)
return emitOpError("shape operand and input box ranks must match "
"when there is a slice");
} else {
return emitOpError("shape operand must absent or be a fir.shift "
"when there is a slice");
}
}
if (auto sliceOp = sliceVal.getDefiningOp()) {
auto slicedRank = mlir::cast<fir::SliceOp>(sliceOp).getOutRank();
if (slicedRank != outRank)
return emitOpError("result type rank and rank after applying slice "
"operand must match");
}
} else {
// Reshaping case
unsigned shapeRank = inputRank;
if (auto shapeVal = getShape()) {
auto ty = shapeVal.getType();
if (auto shapeTy = ty.dyn_cast<fir::ShapeType>()) {
shapeRank = shapeTy.getRank();
} else if (auto shapeShiftTy = ty.dyn_cast<fir::ShapeShiftType>()) {
shapeRank = shapeShiftTy.getRank();
} else {
auto shiftTy = ty.cast<fir::ShiftType>();
shapeRank = shiftTy.getRank();
if (shapeRank != inputRank)
return emitOpError("shape operand and input box ranks must match "
"when the shape is a fir.shift");
}
}
if (shapeRank != outRank)
return emitOpError("result type and shape operand ranks must match");
}
if (inputEleTy != outEleTy) {
// TODO: check that outBoxTy is a parent type of inputBoxTy for derived
// types.
// Character input and output types with constant length may be different if
// there is a substring in the slice, otherwise, they must match. If any of
// the types is a character with dynamic length, the other type can be any
// character type.
const bool typeCanMismatch =
inputEleTy.isa<fir::RecordType>() ||
(getSlice() && inputEleTy.isa<fir::CharacterType>()) ||
areCompatibleCharacterTypes(inputEleTy, outEleTy);
if (!typeCanMismatch)
return emitOpError(
"op input and output element types must match for intrinsic types");
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ResultOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::ResultOp::verify() {
auto *parentOp = (*this)->getParentOp();
auto results = parentOp->getResults();
auto operands = (*this)->getOperands();
if (parentOp->getNumResults() != getNumOperands())
return emitOpError() << "parent of result must have same arity";
for (auto e : llvm::zip(results, operands))
if (std::get<0>(e).getType() != std::get<1>(e).getType())
return emitOpError() << "types mismatch between result op and its parent";
return mlir::success();
}
//===----------------------------------------------------------------------===//
// SaveResultOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::SaveResultOp::verify() {
auto resultType = getValue().getType();
if (resultType != fir::dyn_cast_ptrEleTy(getMemref().getType()))
return emitOpError("value type must match memory reference type");
if (fir::isa_unknown_size_box(resultType))
return emitOpError("cannot save !fir.box of unknown rank or type");
if (resultType.isa<fir::BoxType>()) {
if (getShape() || !getTypeparams().empty())
return emitOpError(
"must not have shape or length operands if the value is a fir.box");
return mlir::success();
}
// fir.record or fir.array case.
unsigned shapeTyRank = 0;
if (auto shapeVal = getShape()) {
auto shapeTy = shapeVal.getType();
if (auto s = shapeTy.dyn_cast<fir::ShapeType>())
shapeTyRank = s.getRank();
else
shapeTyRank = shapeTy.cast<fir::ShapeShiftType>().getRank();
}
auto eleTy = resultType;
if (auto seqTy = resultType.dyn_cast<fir::SequenceType>()) {
if (seqTy.getDimension() != shapeTyRank)
emitOpError("shape operand must be provided and have the value rank "
"when the value is a fir.array");
eleTy = seqTy.getEleTy();
} else {
if (shapeTyRank != 0)
emitOpError(
"shape operand should only be provided if the value is a fir.array");
}
if (auto recTy = eleTy.dyn_cast<fir::RecordType>()) {
if (recTy.getNumLenParams() != getTypeparams().size())
emitOpError("length parameters number must match with the value type "
"length parameters");
} else if (auto charTy = eleTy.dyn_cast<fir::CharacterType>()) {
if (getTypeparams().size() > 1)
emitOpError("no more than one length parameter must be provided for "
"character value");
} else {
if (!getTypeparams().empty())
emitOpError("length parameters must not be provided for this value type");
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// IntegralSwitchTerminator
//===----------------------------------------------------------------------===//
static constexpr llvm::StringRef getCompareOffsetAttr() {
return "compare_operand_offsets";
}
static constexpr llvm::StringRef getTargetOffsetAttr() {
return "target_operand_offsets";
}
template <typename OpT>
static mlir::LogicalResult verifyIntegralSwitchTerminator(OpT op) {
if (!op.getSelector()
.getType()
.template isa<mlir::IntegerType, mlir::IndexType,
fir::IntegerType>())
return op.emitOpError("must be an integer");
auto cases =
op->template getAttrOfType<mlir::ArrayAttr>(op.getCasesAttr()).getValue();
auto count = op.getNumDest();
if (count == 0)
return op.emitOpError("must have at least one successor");
if (op.getNumConditions() != count)
return op.emitOpError("number of cases and targets don't match");
if (op.targetOffsetSize() != count)
return op.emitOpError("incorrect number of successor operand groups");
for (decltype(count) i = 0; i != count; ++i) {
if (!cases[i].template isa<mlir::IntegerAttr, mlir::UnitAttr>())
return op.emitOpError("invalid case alternative");
}
return mlir::success();
}
static mlir::ParseResult parseIntegralSwitchTerminator(
mlir::OpAsmParser &parser, mlir::OperationState &result,
llvm::StringRef casesAttr, llvm::StringRef operandSegmentAttr) {
mlir::OpAsmParser::UnresolvedOperand selector;
mlir::Type type;
if (fir::parseSelector(parser, result, selector, type))
return mlir::failure();
llvm::SmallVector<mlir::Attribute> ivalues;
llvm::SmallVector<mlir::Block *> dests;
llvm::SmallVector<llvm::SmallVector<mlir::Value>> destArgs;
while (true) {
mlir::Attribute ivalue; // Integer or Unit
mlir::Block *dest;
llvm::SmallVector<mlir::Value> destArg;
mlir::NamedAttrList temp;
if (parser.parseAttribute(ivalue, "i", temp) || parser.parseComma() ||
parser.parseSuccessorAndUseList(dest, destArg))
return mlir::failure();
ivalues.push_back(ivalue);
dests.push_back(dest);
destArgs.push_back(destArg);
if (!parser.parseOptionalRSquare())
break;
if (parser.parseComma())
return mlir::failure();
}
auto &bld = parser.getBuilder();
result.addAttribute(casesAttr, bld.getArrayAttr(ivalues));
llvm::SmallVector<int32_t> argOffs;
int32_t sumArgs = 0;
const auto count = dests.size();
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
result.addSuccessors(dests[i]);
result.addOperands(destArgs[i]);
auto argSize = destArgs[i].size();
argOffs.push_back(argSize);
sumArgs += argSize;
}
result.addAttribute(operandSegmentAttr,
bld.getDenseI32ArrayAttr({1, 0, sumArgs}));
result.addAttribute(getTargetOffsetAttr(), bld.getDenseI32ArrayAttr(argOffs));
return mlir::success();
}
template <typename OpT>
static void printIntegralSwitchTerminator(OpT op, mlir::OpAsmPrinter &p) {
p << ' ';
p.printOperand(op.getSelector());
p << " : " << op.getSelector().getType() << " [";
auto cases =
op->template getAttrOfType<mlir::ArrayAttr>(op.getCasesAttr()).getValue();
auto count = op.getNumConditions();
for (decltype(count) i = 0; i != count; ++i) {
if (i)
p << ", ";
auto &attr = cases[i];
if (auto intAttr = attr.template dyn_cast_or_null<mlir::IntegerAttr>())
p << intAttr.getValue();
else
p.printAttribute(attr);
p << ", ";
op.printSuccessorAtIndex(p, i);
}
p << ']';
p.printOptionalAttrDict(
op->getAttrs(), {op.getCasesAttr(), getCompareOffsetAttr(),
getTargetOffsetAttr(), op.getOperandSegmentSizeAttr()});
}
//===----------------------------------------------------------------------===//
// SelectOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::SelectOp::verify() {
return verifyIntegralSwitchTerminator(*this);
}
mlir::ParseResult fir::SelectOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseIntegralSwitchTerminator(parser, result, getCasesAttr(),
getOperandSegmentSizeAttr());
}
void fir::SelectOp::print(mlir::OpAsmPrinter &p) {
printIntegralSwitchTerminator(*this, p);
}
template <typename A, typename... AdditionalArgs>
static A getSubOperands(unsigned pos, A allArgs, mlir::DenseI32ArrayAttr ranges,
AdditionalArgs &&...additionalArgs) {
unsigned start = 0;
for (unsigned i = 0; i < pos; ++i)
start += ranges[i];
return allArgs.slice(start, ranges[pos],
std::forward<AdditionalArgs>(additionalArgs)...);
}
static mlir::MutableOperandRange
getMutableSuccessorOperands(unsigned pos, mlir::MutableOperandRange operands,
llvm::StringRef offsetAttr) {
mlir::Operation *owner = operands.getOwner();
mlir::NamedAttribute targetOffsetAttr =
*owner->getAttrDictionary().getNamed(offsetAttr);
return getSubOperands(
pos, operands,
targetOffsetAttr.getValue().cast<mlir::DenseI32ArrayAttr>(),
mlir::MutableOperandRange::OperandSegment(pos, targetOffsetAttr));
}
llvm::Optional<mlir::OperandRange> fir::SelectOp::getCompareOperands(unsigned) {
return {};
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectOp::getCompareOperands(llvm::ArrayRef<mlir::Value>, unsigned) {
return {};
}
mlir::SuccessorOperands fir::SelectOp::getSuccessorOperands(unsigned oper) {
return mlir::SuccessorOperands(::getMutableSuccessorOperands(
oper, getTargetArgsMutable(), getTargetOffsetAttr()));
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
unsigned oper) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
}
llvm::Optional<mlir::ValueRange>
fir::SelectOp::getSuccessorOperands(mlir::ValueRange operands, unsigned oper) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
}
unsigned fir::SelectOp::targetOffsetSize() {
return (*this)
->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr())
.size();
}
//===----------------------------------------------------------------------===//
// SelectCaseOp
//===----------------------------------------------------------------------===//
llvm::Optional<mlir::OperandRange>
fir::SelectCaseOp::getCompareOperands(unsigned cond) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getCompareOffsetAttr());
return {getSubOperands(cond, getCompareArgs(), a)};
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectCaseOp::getCompareOperands(llvm::ArrayRef<mlir::Value> operands,
unsigned cond) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getCompareOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(cond, getSubOperands(1, operands, segments), a)};
}
llvm::Optional<mlir::ValueRange>
fir::SelectCaseOp::getCompareOperands(mlir::ValueRange operands,
unsigned cond) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getCompareOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(cond, getSubOperands(1, operands, segments), a)};
}
mlir::SuccessorOperands fir::SelectCaseOp::getSuccessorOperands(unsigned oper) {
return mlir::SuccessorOperands(::getMutableSuccessorOperands(
oper, getTargetArgsMutable(), getTargetOffsetAttr()));
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectCaseOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
unsigned oper) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
}
llvm::Optional<mlir::ValueRange>
fir::SelectCaseOp::getSuccessorOperands(mlir::ValueRange operands,
unsigned oper) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
}
// parser for fir.select_case Op
mlir::ParseResult fir::SelectCaseOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::OpAsmParser::UnresolvedOperand selector;
mlir::Type type;
if (fir::parseSelector(parser, result, selector, type))
return mlir::failure();
llvm::SmallVector<mlir::Attribute> attrs;
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> opers;
llvm::SmallVector<mlir::Block *> dests;
llvm::SmallVector<llvm::SmallVector<mlir::Value>> destArgs;
llvm::SmallVector<std::int32_t> argOffs;
std::int32_t offSize = 0;
while (true) {
mlir::Attribute attr;
mlir::Block *dest;
llvm::SmallVector<mlir::Value> destArg;
mlir::NamedAttrList temp;
if (parser.parseAttribute(attr, "a", temp) || isValidCaseAttr(attr) ||
parser.parseComma())
return mlir::failure();
attrs.push_back(attr);
if (attr.dyn_cast_or_null<mlir::UnitAttr>()) {
argOffs.push_back(0);
} else if (attr.dyn_cast_or_null<fir::ClosedIntervalAttr>()) {
mlir::OpAsmParser::UnresolvedOperand oper1;
mlir::OpAsmParser::UnresolvedOperand oper2;
if (parser.parseOperand(oper1) || parser.parseComma() ||
parser.parseOperand(oper2) || parser.parseComma())
return mlir::failure();
opers.push_back(oper1);
opers.push_back(oper2);
argOffs.push_back(2);
offSize += 2;
} else {
mlir::OpAsmParser::UnresolvedOperand oper;
if (parser.parseOperand(oper) || parser.parseComma())
return mlir::failure();
opers.push_back(oper);
argOffs.push_back(1);
++offSize;
}
if (parser.parseSuccessorAndUseList(dest, destArg))
return mlir::failure();
dests.push_back(dest);
destArgs.push_back(destArg);
if (mlir::succeeded(parser.parseOptionalRSquare()))
break;
if (parser.parseComma())
return mlir::failure();
}
result.addAttribute(fir::SelectCaseOp::getCasesAttr(),
parser.getBuilder().getArrayAttr(attrs));
if (parser.resolveOperands(opers, type, result.operands))
return mlir::failure();
llvm::SmallVector<int32_t> targOffs;
int32_t toffSize = 0;
const auto count = dests.size();
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
result.addSuccessors(dests[i]);
result.addOperands(destArgs[i]);
auto argSize = destArgs[i].size();
targOffs.push_back(argSize);
toffSize += argSize;
}
auto &bld = parser.getBuilder();
result.addAttribute(fir::SelectCaseOp::getOperandSegmentSizeAttr(),
bld.getDenseI32ArrayAttr({1, offSize, toffSize}));
result.addAttribute(getCompareOffsetAttr(),
bld.getDenseI32ArrayAttr(argOffs));
result.addAttribute(getTargetOffsetAttr(),
bld.getDenseI32ArrayAttr(targOffs));
return mlir::success();
}
void fir::SelectCaseOp::print(mlir::OpAsmPrinter &p) {
p << ' ';
p.printOperand(getSelector());
p << " : " << getSelector().getType() << " [";
auto cases =
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
auto count = getNumConditions();
for (decltype(count) i = 0; i != count; ++i) {
if (i)
p << ", ";
p << cases[i] << ", ";
if (!cases[i].isa<mlir::UnitAttr>()) {
auto caseArgs = *getCompareOperands(i);
p.printOperand(*caseArgs.begin());
p << ", ";
if (cases[i].isa<fir::ClosedIntervalAttr>()) {
p.printOperand(*(++caseArgs.begin()));
p << ", ";
}
}
printSuccessorAtIndex(p, i);
}
p << ']';
p.printOptionalAttrDict(getOperation()->getAttrs(),
{getCasesAttr(), getCompareOffsetAttr(),
getTargetOffsetAttr(), getOperandSegmentSizeAttr()});
}
unsigned fir::SelectCaseOp::compareOffsetSize() {
return (*this)
->getAttrOfType<mlir::DenseI32ArrayAttr>(getCompareOffsetAttr())
.size();
}
unsigned fir::SelectCaseOp::targetOffsetSize() {
return (*this)
->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr())
.size();
}
void fir::SelectCaseOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
mlir::Value selector,
llvm::ArrayRef<mlir::Attribute> compareAttrs,
llvm::ArrayRef<mlir::ValueRange> cmpOperands,
llvm::ArrayRef<mlir::Block *> destinations,
llvm::ArrayRef<mlir::ValueRange> destOperands,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
result.addOperands(selector);
result.addAttribute(getCasesAttr(), builder.getArrayAttr(compareAttrs));
llvm::SmallVector<int32_t> operOffs;
int32_t operSize = 0;
for (auto attr : compareAttrs) {
if (attr.isa<fir::ClosedIntervalAttr>()) {
operOffs.push_back(2);
operSize += 2;
} else if (attr.isa<mlir::UnitAttr>()) {
operOffs.push_back(0);
} else {
operOffs.push_back(1);
++operSize;
}
}
for (auto ops : cmpOperands)
result.addOperands(ops);
result.addAttribute(getCompareOffsetAttr(),
builder.getDenseI32ArrayAttr(operOffs));
const auto count = destinations.size();
for (auto d : destinations)
result.addSuccessors(d);
const auto opCount = destOperands.size();
llvm::SmallVector<std::int32_t> argOffs;
std::int32_t sumArgs = 0;
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
if (i < opCount) {
result.addOperands(destOperands[i]);
const auto argSz = destOperands[i].size();
argOffs.push_back(argSz);
sumArgs += argSz;
} else {
argOffs.push_back(0);
}
}
result.addAttribute(getOperandSegmentSizeAttr(),
builder.getDenseI32ArrayAttr({1, operSize, sumArgs}));
result.addAttribute(getTargetOffsetAttr(),
builder.getDenseI32ArrayAttr(argOffs));
result.addAttributes(attributes);
}
/// This builder has a slightly simplified interface in that the list of
/// operands need not be partitioned by the builder. Instead the operands are
/// partitioned here, before being passed to the default builder. This
/// partitioning is unchecked, so can go awry on bad input.
void fir::SelectCaseOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
mlir::Value selector,
llvm::ArrayRef<mlir::Attribute> compareAttrs,
llvm::ArrayRef<mlir::Value> cmpOpList,
llvm::ArrayRef<mlir::Block *> destinations,
llvm::ArrayRef<mlir::ValueRange> destOperands,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
llvm::SmallVector<mlir::ValueRange> cmpOpers;
auto iter = cmpOpList.begin();
for (auto &attr : compareAttrs) {
if (attr.isa<fir::ClosedIntervalAttr>()) {
cmpOpers.push_back(mlir::ValueRange({iter, iter + 2}));
iter += 2;
} else if (attr.isa<mlir::UnitAttr>()) {
cmpOpers.push_back(mlir::ValueRange{});
} else {
cmpOpers.push_back(mlir::ValueRange({iter, iter + 1}));
++iter;
}
}
build(builder, result, selector, compareAttrs, cmpOpers, destinations,
destOperands, attributes);
}
mlir::LogicalResult fir::SelectCaseOp::verify() {
if (!getSelector()
.getType()
.isa<mlir::IntegerType, mlir::IndexType, fir::IntegerType,
fir::LogicalType, fir::CharacterType>())
return emitOpError("must be an integer, character, or logical");
auto cases =
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
auto count = getNumDest();
if (count == 0)
return emitOpError("must have at least one successor");
if (getNumConditions() != count)
return emitOpError("number of conditions and successors don't match");
if (compareOffsetSize() != count)
return emitOpError("incorrect number of compare operand groups");
if (targetOffsetSize() != count)
return emitOpError("incorrect number of successor operand groups");
for (decltype(count) i = 0; i != count; ++i) {
auto &attr = cases[i];
if (!(attr.isa<fir::PointIntervalAttr>() ||
attr.isa<fir::LowerBoundAttr>() || attr.isa<fir::UpperBoundAttr>() ||
attr.isa<fir::ClosedIntervalAttr>() || attr.isa<mlir::UnitAttr>()))
return emitOpError("incorrect select case attribute type");
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// SelectRankOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::SelectRankOp::verify() {
return verifyIntegralSwitchTerminator(*this);
}
mlir::ParseResult fir::SelectRankOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
return parseIntegralSwitchTerminator(parser, result, getCasesAttr(),
getOperandSegmentSizeAttr());
}
void fir::SelectRankOp::print(mlir::OpAsmPrinter &p) {
printIntegralSwitchTerminator(*this, p);
}
llvm::Optional<mlir::OperandRange>
fir::SelectRankOp::getCompareOperands(unsigned) {
return {};
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectRankOp::getCompareOperands(llvm::ArrayRef<mlir::Value>, unsigned) {
return {};
}
mlir::SuccessorOperands fir::SelectRankOp::getSuccessorOperands(unsigned oper) {
return mlir::SuccessorOperands(::getMutableSuccessorOperands(
oper, getTargetArgsMutable(), getTargetOffsetAttr()));
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectRankOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
unsigned oper) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
}
llvm::Optional<mlir::ValueRange>
fir::SelectRankOp::getSuccessorOperands(mlir::ValueRange operands,
unsigned oper) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
}
unsigned fir::SelectRankOp::targetOffsetSize() {
return (*this)
->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr())
.size();
}
//===----------------------------------------------------------------------===//
// SelectTypeOp
//===----------------------------------------------------------------------===//
llvm::Optional<mlir::OperandRange>
fir::SelectTypeOp::getCompareOperands(unsigned) {
return {};
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectTypeOp::getCompareOperands(llvm::ArrayRef<mlir::Value>, unsigned) {
return {};
}
mlir::SuccessorOperands fir::SelectTypeOp::getSuccessorOperands(unsigned oper) {
return mlir::SuccessorOperands(::getMutableSuccessorOperands(
oper, getTargetArgsMutable(), getTargetOffsetAttr()));
}
llvm::Optional<llvm::ArrayRef<mlir::Value>>
fir::SelectTypeOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
unsigned oper) {
auto a =
(*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr());
auto segments = (*this)->getAttrOfType<mlir::DenseI32ArrayAttr>(
getOperandSegmentSizeAttr());
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
}
mlir::ParseResult fir::SelectTypeOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::OpAsmParser::UnresolvedOperand selector;
mlir::Type type;
if (fir::parseSelector(parser, result, selector, type))
return mlir::failure();
llvm::SmallVector<mlir::Attribute> attrs;
llvm::SmallVector<mlir::Block *> dests;
llvm::SmallVector<llvm::SmallVector<mlir::Value>> destArgs;
while (true) {
mlir::Attribute attr;
mlir::Block *dest;
llvm::SmallVector<mlir::Value> destArg;
mlir::NamedAttrList temp;
if (parser.parseAttribute(attr, "a", temp) || parser.parseComma() ||
parser.parseSuccessorAndUseList(dest, destArg))
return mlir::failure();
attrs.push_back(attr);
dests.push_back(dest);
destArgs.push_back(destArg);
if (mlir::succeeded(parser.parseOptionalRSquare()))
break;
if (parser.parseComma())
return mlir::failure();
}
auto &bld = parser.getBuilder();
result.addAttribute(fir::SelectTypeOp::getCasesAttr(),
bld.getArrayAttr(attrs));
llvm::SmallVector<int32_t> argOffs;
int32_t offSize = 0;
const auto count = dests.size();
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
result.addSuccessors(dests[i]);
result.addOperands(destArgs[i]);
auto argSize = destArgs[i].size();
argOffs.push_back(argSize);
offSize += argSize;
}
result.addAttribute(fir::SelectTypeOp::getOperandSegmentSizeAttr(),
bld.getDenseI32ArrayAttr({1, 0, offSize}));
result.addAttribute(getTargetOffsetAttr(), bld.getDenseI32ArrayAttr(argOffs));
return mlir::success();
}
unsigned fir::SelectTypeOp::targetOffsetSize() {
return (*this)
->getAttrOfType<mlir::DenseI32ArrayAttr>(getTargetOffsetAttr())
.size();
}
void fir::SelectTypeOp::print(mlir::OpAsmPrinter &p) {
p << ' ';
p.printOperand(getSelector());
p << " : " << getSelector().getType() << " [";
auto cases =
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
auto count = getNumConditions();
for (decltype(count) i = 0; i != count; ++i) {
if (i)
p << ", ";
p << cases[i] << ", ";
printSuccessorAtIndex(p, i);
}
p << ']';
p.printOptionalAttrDict(getOperation()->getAttrs(),
{getCasesAttr(), getCompareOffsetAttr(),
getTargetOffsetAttr(),
fir::SelectTypeOp::getOperandSegmentSizeAttr()});
}
mlir::LogicalResult fir::SelectTypeOp::verify() {
if (!(getSelector().getType().isa<fir::BoxType>()))
return emitOpError("must be a boxed type");
auto cases =
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
auto count = getNumDest();
if (count == 0)
return emitOpError("must have at least one successor");
if (getNumConditions() != count)
return emitOpError("number of conditions and successors don't match");
if (targetOffsetSize() != count)
return emitOpError("incorrect number of successor operand groups");
for (decltype(count) i = 0; i != count; ++i) {
auto &attr = cases[i];
if (!(attr.isa<fir::ExactTypeAttr>() || attr.isa<fir::SubclassAttr>() ||
attr.isa<mlir::UnitAttr>()))
return emitOpError("invalid type-case alternative");
}
return mlir::success();
}
void fir::SelectTypeOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
mlir::Value selector,
llvm::ArrayRef<mlir::Attribute> typeOperands,
llvm::ArrayRef<mlir::Block *> destinations,
llvm::ArrayRef<mlir::ValueRange> destOperands,
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
result.addOperands(selector);
result.addAttribute(getCasesAttr(), builder.getArrayAttr(typeOperands));
const auto count = destinations.size();
for (mlir::Block *dest : destinations)
result.addSuccessors(dest);
const auto opCount = destOperands.size();
llvm::SmallVector<int32_t> argOffs;
int32_t sumArgs = 0;
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
if (i < opCount) {
result.addOperands(destOperands[i]);
const auto argSz = destOperands[i].size();
argOffs.push_back(argSz);
sumArgs += argSz;
} else {
argOffs.push_back(0);
}
}
result.addAttribute(getOperandSegmentSizeAttr(),
builder.getDenseI32ArrayAttr({1, 0, sumArgs}));
result.addAttribute(getTargetOffsetAttr(),
builder.getDenseI32ArrayAttr(argOffs));
result.addAttributes(attributes);
}
//===----------------------------------------------------------------------===//
// ShapeOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::ShapeOp::verify() {
auto size = getExtents().size();
auto shapeTy = getType().dyn_cast<fir::ShapeType>();
assert(shapeTy && "must be a shape type");
if (shapeTy.getRank() != size)
return emitOpError("shape type rank mismatch");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ShapeShiftOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::ShapeShiftOp::verify() {
auto size = getPairs().size();
if (size < 2 || size > 16 * 2)
return emitOpError("incorrect number of args");
if (size % 2 != 0)
return emitOpError("requires a multiple of 2 args");
auto shapeTy = getType().dyn_cast<fir::ShapeShiftType>();
assert(shapeTy && "must be a shape shift type");
if (shapeTy.getRank() * 2 != size)
return emitOpError("shape type rank mismatch");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// ShiftOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::ShiftOp::verify() {
auto size = getOrigins().size();
auto shiftTy = getType().dyn_cast<fir::ShiftType>();
assert(shiftTy && "must be a shift type");
if (shiftTy.getRank() != size)
return emitOpError("shift type rank mismatch");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// SliceOp
//===----------------------------------------------------------------------===//
void fir::SliceOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
mlir::ValueRange trips, mlir::ValueRange path,
mlir::ValueRange substr) {
const auto rank = trips.size() / 3;
auto sliceTy = fir::SliceType::get(builder.getContext(), rank);
build(builder, result, sliceTy, trips, path, substr);
}
/// Return the output rank of a slice op. The output rank must be between 1 and
/// the rank of the array being sliced (inclusive).
unsigned fir::SliceOp::getOutputRank(mlir::ValueRange triples) {
unsigned rank = 0;
if (!triples.empty()) {
for (unsigned i = 1, end = triples.size(); i < end; i += 3) {
auto *op = triples[i].getDefiningOp();
if (!mlir::isa_and_nonnull<fir::UndefOp>(op))
++rank;
}
assert(rank > 0);
}
return rank;
}
mlir::LogicalResult fir::SliceOp::verify() {
auto size = getTriples().size();
if (size < 3 || size > 16 * 3)
return emitOpError("incorrect number of args for triple");
if (size % 3 != 0)
return emitOpError("requires a multiple of 3 args");
auto sliceTy = getType().dyn_cast<fir::SliceType>();
assert(sliceTy && "must be a slice type");
if (sliceTy.getRank() * 3 != size)
return emitOpError("slice type rank mismatch");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// StoreOp
//===----------------------------------------------------------------------===//
mlir::Type fir::StoreOp::elementType(mlir::Type refType) {
return fir::dyn_cast_ptrEleTy(refType);
}
mlir::ParseResult fir::StoreOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
mlir::Type type;
mlir::OpAsmParser::UnresolvedOperand oper;
mlir::OpAsmParser::UnresolvedOperand store;
if (parser.parseOperand(oper) || parser.parseKeyword("to") ||
parser.parseOperand(store) ||
parser.parseOptionalAttrDict(result.attributes) ||
parser.parseColonType(type) ||
parser.resolveOperand(oper, fir::StoreOp::elementType(type),
result.operands) ||
parser.resolveOperand(store, type, result.operands))
return mlir::failure();
return mlir::success();
}
void fir::StoreOp::print(mlir::OpAsmPrinter &p) {
p << ' ';
p.printOperand(getValue());
p << " to ";
p.printOperand(getMemref());
p.printOptionalAttrDict(getOperation()->getAttrs(), {});
p << " : " << getMemref().getType();
}
mlir::LogicalResult fir::StoreOp::verify() {
if (getValue().getType() != fir::dyn_cast_ptrEleTy(getMemref().getType()))
return emitOpError("store value type must match memory reference type");
if (fir::isa_unknown_size_box(getValue().getType()))
return emitOpError("cannot store !fir.box of unknown rank or type");
return mlir::success();
}
//===----------------------------------------------------------------------===//
// StringLitOp
//===----------------------------------------------------------------------===//
inline fir::CharacterType::KindTy stringLitOpGetKind(fir::StringLitOp op) {
auto eleTy = op.getType().cast<fir::SequenceType>().getEleTy();
return eleTy.cast<fir::CharacterType>().getFKind();
}
bool fir::StringLitOp::isWideValue() { return stringLitOpGetKind(*this) != 1; }
static mlir::NamedAttribute
mkNamedIntegerAttr(mlir::OpBuilder &builder, llvm::StringRef name, int64_t v) {
assert(v > 0);
return builder.getNamedAttr(
name, builder.getIntegerAttr(builder.getIntegerType(64), v));
}
void fir::StringLitOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
fir::CharacterType inType, llvm::StringRef val,
llvm::Optional<int64_t> len) {
auto valAttr = builder.getNamedAttr(value(), builder.getStringAttr(val));
int64_t length = len ? *len : inType.getLen();
auto lenAttr = mkNamedIntegerAttr(builder, size(), length);
result.addAttributes({valAttr, lenAttr});
result.addTypes(inType);
}
template <typename C>
static mlir::ArrayAttr convertToArrayAttr(mlir::OpBuilder &builder,
llvm::ArrayRef<C> xlist) {
llvm::SmallVector<mlir::Attribute> attrs;
auto ty = builder.getIntegerType(8 * sizeof(C));
for (auto ch : xlist)
attrs.push_back(builder.getIntegerAttr(ty, ch));
return builder.getArrayAttr(attrs);
}
void fir::StringLitOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
fir::CharacterType inType,
llvm::ArrayRef<char> vlist,
llvm::Optional<std::int64_t> len) {
auto valAttr =
builder.getNamedAttr(xlist(), convertToArrayAttr(builder, vlist));
std::int64_t length = len ? *len : inType.getLen();
auto lenAttr = mkNamedIntegerAttr(builder, size(), length);
result.addAttributes({valAttr, lenAttr});
result.addTypes(inType);
}
void fir::StringLitOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
fir::CharacterType inType,
llvm::ArrayRef<char16_t> vlist,
llvm::Optional<std::int64_t> len) {
auto valAttr =
builder.getNamedAttr(xlist(), convertToArrayAttr(builder, vlist));
std::int64_t length = len ? *len : inType.getLen();
auto lenAttr = mkNamedIntegerAttr(builder, size(), length);
result.addAttributes({valAttr, lenAttr});
result.addTypes(inType);
}
void fir::StringLitOp::build(mlir::OpBuilder &builder,
mlir::OperationState &result,
fir::CharacterType inType,
llvm::ArrayRef<char32_t> vlist,
llvm::Optional<std::int64_t> len) {
auto valAttr =
builder.getNamedAttr(xlist(), convertToArrayAttr(builder, vlist));
std::int64_t length = len ? *len : inType.getLen();
auto lenAttr = mkNamedIntegerAttr(builder, size(), length);
result.addAttributes({valAttr, lenAttr});
result.addTypes(inType);
}
mlir::ParseResult fir::StringLitOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
auto &builder = parser.getBuilder();
mlir::Attribute val;
mlir::NamedAttrList attrs;
llvm::SMLoc trailingTypeLoc;
if (parser.parseAttribute(val, "fake", attrs))
return mlir::failure();
if (auto v = val.dyn_cast<mlir::StringAttr>())
result.attributes.push_back(
builder.getNamedAttr(fir::StringLitOp::value(), v));
else if (auto v = val.dyn_cast<mlir::DenseElementsAttr>())
result.attributes.push_back(
builder.getNamedAttr(fir::StringLitOp::xlist(), v));
else if (auto v = val.dyn_cast<mlir::ArrayAttr>())
result.attributes.push_back(
builder.getNamedAttr(fir::StringLitOp::xlist(), v));
else
return parser.emitError(parser.getCurrentLocation(),
"found an invalid constant");
mlir::IntegerAttr sz;
mlir::Type type;
if (parser.parseLParen() ||
parser.parseAttribute(sz, fir::StringLitOp::size(), result.attributes) ||
parser.parseRParen() || parser.getCurrentLocation(&trailingTypeLoc) ||
parser.parseColonType(type))
return mlir::failure();
auto charTy = type.dyn_cast<fir::CharacterType>();
if (!charTy)
return parser.emitError(trailingTypeLoc, "must have character type");
type = fir::CharacterType::get(builder.getContext(), charTy.getFKind(),
sz.getInt());
if (!type || parser.addTypesToList(type, result.types))
return mlir::failure();
return mlir::success();
}
void fir::StringLitOp::print(mlir::OpAsmPrinter &p) {
p << ' ' << getValue() << '(';
p << getSize().cast<mlir::IntegerAttr>().getValue() << ") : ";
p.printType(getType());
}
mlir::LogicalResult fir::StringLitOp::verify() {
if (getSize().cast<mlir::IntegerAttr>().getValue().isNegative())
return emitOpError("size must be non-negative");
if (auto xl = getOperation()->getAttr(fir::StringLitOp::xlist())) {
if (auto xList = xl.dyn_cast<mlir::ArrayAttr>()) {
for (auto a : xList)
if (!a.isa<mlir::IntegerAttr>())
return emitOpError("values in initializer must be integers");
} else if (xl.isa<mlir::DenseElementsAttr>()) {
// do nothing
} else {
return emitOpError("has unexpected attribute");
}
}
return mlir::success();
}
//===----------------------------------------------------------------------===//
// UnboxProcOp
//===----------------------------------------------------------------------===//
mlir::LogicalResult fir::UnboxProcOp::verify() {
if (auto eleTy = fir::dyn_cast_ptrEleTy(getRefTuple().getType()))
if (eleTy.isa<mlir::TupleType>())
return mlir::success();
return emitOpError("second output argument has bad type");
}
//===----------------------------------------------------------------------===//
// IfOp
//===----------------------------------------------------------------------===//
void fir::IfOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
mlir::Value cond, bool withElseRegion) {
build(builder, result, llvm::None, cond, withElseRegion);
}
void fir::IfOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
mlir::TypeRange resultTypes, mlir::Value cond,
bool withElseRegion) {
result.addOperands(cond);
result.addTypes(resultTypes);
mlir::Region *thenRegion = result.addRegion();
thenRegion->push_back(new mlir::Block());
if (resultTypes.empty())
IfOp::ensureTerminator(*thenRegion, builder, result.location);
mlir::Region *elseRegion = result.addRegion();
if (withElseRegion) {
elseRegion->push_back(new mlir::Block());
if (resultTypes.empty())
IfOp::ensureTerminator(*elseRegion, builder, result.location);
}
}
mlir::ParseResult fir::IfOp::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
result.regions.reserve(2);
mlir::Region *thenRegion = result.addRegion();
mlir::Region *elseRegion = result.addRegion();
auto &builder = parser.getBuilder();
mlir::OpAsmParser::UnresolvedOperand cond;
mlir::Type i1Type = builder.getIntegerType(1);
if (parser.parseOperand(cond) ||
parser.resolveOperand(cond, i1Type, result.operands))
return mlir::failure();
if (parser.parseOptionalArrowTypeList(result.types))
return mlir::failure();
if (parser.parseRegion(*thenRegion, {}, {}))
return mlir::failure();
fir::IfOp::ensureTerminator(*thenRegion, parser.getBuilder(),
result.location);
if (mlir::succeeded(parser.parseOptionalKeyword("else"))) {
if (parser.parseRegion(*elseRegion, {}, {}))
return mlir::failure();
fir::IfOp::ensureTerminator(*elseRegion, parser.getBuilder(),
result.location);
}
// Parse the optional attribute list.
if (parser.parseOptionalAttrDict(result.attributes))
return mlir::failure();
return mlir::success();
}
mlir::LogicalResult fir::IfOp::verify() {
if (getNumResults() != 0 && getElseRegion().empty())
return emitOpError("must have an else block if defining values");
return mlir::success();
}
void fir::IfOp::print(mlir::OpAsmPrinter &p) {
bool printBlockTerminators = false;
p << ' ' << getCondition();
if (!getResults().empty()) {
p << " -> (" << getResultTypes() << ')';
printBlockTerminators = true;
}
p << ' ';
p.printRegion(getThenRegion(), /*printEntryBlockArgs=*/false,
printBlockTerminators);
// Print the 'else' regions if it exists and has a block.
auto &otherReg = getElseRegion();
if (!otherReg.empty()) {
p << " else ";
p.printRegion(otherReg, /*printEntryBlockArgs=*/false,
printBlockTerminators);
}
p.printOptionalAttrDict((*this)->getAttrs());
}
void fir::IfOp::resultToSourceOps(llvm::SmallVectorImpl<mlir::Value> &results,
unsigned resultNum) {
auto *term = getThenRegion().front().getTerminator();
if (resultNum < term->getNumOperands())
results.push_back(term->getOperand(resultNum));
term = getElseRegion().front().getTerminator();
if (resultNum < term->getNumOperands())
results.push_back(term->getOperand(resultNum));
}
//===----------------------------------------------------------------------===//
mlir::ParseResult fir::isValidCaseAttr(mlir::Attribute attr) {
if (attr.isa<mlir::UnitAttr, fir::ClosedIntervalAttr, fir::PointIntervalAttr,
fir::LowerBoundAttr, fir::UpperBoundAttr>())
return mlir::success();
return mlir::failure();
}
unsigned fir::getCaseArgumentOffset(llvm::ArrayRef<mlir::Attribute> cases,
unsigned dest) {
unsigned o = 0;
for (unsigned i = 0; i < dest; ++i) {
auto &attr = cases[i];
if (!attr.dyn_cast_or_null<mlir::UnitAttr>()) {
++o;
if (attr.dyn_cast_or_null<fir::ClosedIntervalAttr>())
++o;
}
}
return o;
}
mlir::ParseResult
fir::parseSelector(mlir::OpAsmParser &parser, mlir::OperationState &result,
mlir::OpAsmParser::UnresolvedOperand &selector,
mlir::Type &type) {
if (parser.parseOperand(selector) || parser.parseColonType(type) ||
parser.resolveOperand(selector, type, result.operands) ||
parser.parseLSquare())
return mlir::failure();
return mlir::success();
}
mlir::func::FuncOp
fir::createFuncOp(mlir::Location loc, mlir::ModuleOp module,
llvm::StringRef name, mlir::FunctionType type,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
if (auto f = module.lookupSymbol<mlir::func::FuncOp>(name))
return f;
mlir::OpBuilder modBuilder(module.getBodyRegion());
modBuilder.setInsertionPointToEnd(module.getBody());
auto result = modBuilder.create<mlir::func::FuncOp>(loc, name, type, attrs);
result.setVisibility(mlir::SymbolTable::Visibility::Private);
return result;
}
fir::GlobalOp fir::createGlobalOp(mlir::Location loc, mlir::ModuleOp module,
llvm::StringRef name, mlir::Type type,
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
if (auto g = module.lookupSymbol<fir::GlobalOp>(name))
return g;
mlir::OpBuilder modBuilder(module.getBodyRegion());
auto result = modBuilder.create<fir::GlobalOp>(loc, name, type, attrs);
result.setVisibility(mlir::SymbolTable::Visibility::Private);
return result;
}
bool fir::hasHostAssociationArgument(mlir::func::FuncOp func) {
if (auto allArgAttrs = func.getAllArgAttrs())
for (auto attr : allArgAttrs)
if (auto dict = attr.template dyn_cast_or_null<mlir::DictionaryAttr>())
if (dict.get(fir::getHostAssocAttrName()))
return true;
return false;
}
bool fir::valueHasFirAttribute(mlir::Value value,
llvm::StringRef attributeName) {
// If this is a fir.box that was loaded, the fir attributes will be on the
// related fir.ref<fir.box> creation.
if (value.getType().isa<fir::BoxType>())
if (auto definingOp = value.getDefiningOp())
if (auto loadOp = mlir::dyn_cast<fir::LoadOp>(definingOp))
value = loadOp.getMemref();
// If this is a function argument, look in the argument attributes.
if (auto blockArg = value.dyn_cast<mlir::BlockArgument>()) {
if (blockArg.getOwner() && blockArg.getOwner()->isEntryBlock())
if (auto funcOp = mlir::dyn_cast<mlir::func::FuncOp>(
blockArg.getOwner()->getParentOp()))
if (funcOp.getArgAttr(blockArg.getArgNumber(), attributeName))
return true;
return false;
}
if (auto definingOp = value.getDefiningOp()) {
// If this is an allocated value, look at the allocation attributes.
if (mlir::isa<fir::AllocMemOp>(definingOp) ||
mlir::isa<AllocaOp>(definingOp))
return definingOp->hasAttr(attributeName);
// If this is an imported global, look at AddrOfOp and GlobalOp attributes.
// Both operations are looked at because use/host associated variable (the
// AddrOfOp) can have ASYNCHRONOUS/VOLATILE attributes even if the ultimate
// entity (the globalOp) does not have them.
if (auto addressOfOp = mlir::dyn_cast<fir::AddrOfOp>(definingOp)) {
if (addressOfOp->hasAttr(attributeName))
return true;
if (auto module = definingOp->getParentOfType<mlir::ModuleOp>())
if (auto globalOp =
module.lookupSymbol<fir::GlobalOp>(addressOfOp.getSymbol()))
return globalOp->hasAttr(attributeName);
}
}
// TODO: Construct associated entities attributes. Decide where the fir
// attributes must be placed/looked for in this case.
return false;
}
bool fir::anyFuncArgsHaveAttr(mlir::func::FuncOp func, llvm::StringRef attr) {
for (unsigned i = 0, end = func.getNumArguments(); i < end; ++i)
if (func.getArgAttr(i, attr))
return true;
return false;
}
mlir::Type fir::applyPathToType(mlir::Type eleTy, mlir::ValueRange path) {
for (auto i = path.begin(), end = path.end(); eleTy && i < end;) {
eleTy = llvm::TypeSwitch<mlir::Type, mlir::Type>(eleTy)
.Case<fir::RecordType>([&](fir::RecordType ty) {
if (auto *op = (*i++).getDefiningOp()) {
if (auto off = mlir::dyn_cast<fir::FieldIndexOp>(op))
return ty.getType(off.getFieldName());
if (auto off = mlir::dyn_cast<mlir::arith::ConstantOp>(op))
return ty.getType(fir::toInt(off));
}
return mlir::Type{};
})
.Case<fir::SequenceType>([&](fir::SequenceType ty) {
bool valid = true;
const auto rank = ty.getDimension();
for (std::remove_const_t<decltype(rank)> ii = 0;
valid && ii < rank; ++ii)
valid = i < end && fir::isa_integer((*i++).getType());
return valid ? ty.getEleTy() : mlir::Type{};
})
.Case<mlir::TupleType>([&](mlir::TupleType ty) {
if (auto *op = (*i++).getDefiningOp())
if (auto off = mlir::dyn_cast<mlir::arith::ConstantOp>(op))
return ty.getType(fir::toInt(off));
return mlir::Type{};
})
.Case<fir::ComplexType>([&](fir::ComplexType ty) {
auto x = *i;
if (auto *op = (*i++).getDefiningOp())
if (fir::isa_integer(x.getType()))
return ty.getEleType(fir::getKindMapping(
op->getParentOfType<mlir::ModuleOp>()));
return mlir::Type{};
})
.Case<mlir::ComplexType>([&](mlir::ComplexType ty) {
if (fir::isa_integer((*i++).getType()))
return ty.getElementType();
return mlir::Type{};
})
.Default([&](const auto &) { return mlir::Type{}; });
}
return eleTy;
}
// Tablegen operators
#define GET_OP_CLASSES
#include "flang/Optimizer/Dialect/FIROps.cpp.inc"
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