3283 lines
128 KiB
C++
3283 lines
128 KiB
C++
//===-- FIROps.cpp --------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// Coding style: https://mlir.llvm.org/getting_started/DeveloperGuide/
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//
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//===----------------------------------------------------------------------===//
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#include "flang/Optimizer/Dialect/FIROps.h"
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#include "flang/Optimizer/Dialect/FIRAttr.h"
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#include "flang/Optimizer/Dialect/FIROpsSupport.h"
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#include "flang/Optimizer/Dialect/FIRType.h"
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#include "flang/Optimizer/Support/Utils.h"
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#include "mlir/Dialect/CommonFolders.h"
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#include "mlir/Dialect/StandardOps/IR/Ops.h"
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#include "mlir/IR/BuiltinOps.h"
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#include "mlir/IR/Diagnostics.h"
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#include "mlir/IR/Matchers.h"
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#include "mlir/IR/PatternMatch.h"
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#include "llvm/ADT/StringSwitch.h"
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#include "llvm/ADT/TypeSwitch.h"
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namespace {
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#include "flang/Optimizer/Dialect/CanonicalizationPatterns.inc"
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} // namespace
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using namespace fir;
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/// Return true if a sequence type is of some incomplete size or a record type
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/// is malformed or contains an incomplete sequence type. An incomplete sequence
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/// type is one with more unknown extents in the type than have been provided
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/// via `dynamicExtents`. Sequence types with an unknown rank are incomplete by
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/// definition.
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static bool verifyInType(mlir::Type inType,
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llvm::SmallVectorImpl<llvm::StringRef> &visited,
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unsigned dynamicExtents = 0) {
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if (auto st = inType.dyn_cast<fir::SequenceType>()) {
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auto shape = st.getShape();
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if (shape.size() == 0)
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return true;
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for (std::size_t i = 0, end{shape.size()}; i < end; ++i) {
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if (shape[i] != fir::SequenceType::getUnknownExtent())
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continue;
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if (dynamicExtents-- == 0)
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return true;
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}
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} else if (auto rt = inType.dyn_cast<fir::RecordType>()) {
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// don't recurse if we're already visiting this one
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if (llvm::is_contained(visited, rt.getName()))
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return false;
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// keep track of record types currently being visited
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visited.push_back(rt.getName());
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for (auto &field : rt.getTypeList())
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if (verifyInType(field.second, visited))
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return true;
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visited.pop_back();
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}
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return false;
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}
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static bool verifyTypeParamCount(mlir::Type inType, unsigned numParams) {
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auto ty = fir::unwrapSequenceType(inType);
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if (numParams > 0) {
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if (auto recTy = ty.dyn_cast<fir::RecordType>())
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return numParams != recTy.getNumLenParams();
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if (auto chrTy = ty.dyn_cast<fir::CharacterType>())
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return !(numParams == 1 && chrTy.hasDynamicLen());
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return true;
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}
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if (auto chrTy = ty.dyn_cast<fir::CharacterType>())
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return !chrTy.hasConstantLen();
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return false;
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}
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/// Parser shared by Alloca and Allocmem
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///
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/// operation ::= %res = (`fir.alloca` | `fir.allocmem`) $in_type
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/// ( `(` $typeparams `)` )? ( `,` $shape )?
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/// attr-dict-without-keyword
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template <typename FN>
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static mlir::ParseResult parseAllocatableOp(FN wrapResultType,
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mlir::OpAsmParser &parser,
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mlir::OperationState &result) {
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mlir::Type intype;
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if (parser.parseType(intype))
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return mlir::failure();
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auto &builder = parser.getBuilder();
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result.addAttribute("in_type", mlir::TypeAttr::get(intype));
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llvm::SmallVector<mlir::OpAsmParser::OperandType> operands;
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llvm::SmallVector<mlir::Type> typeVec;
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bool hasOperands = false;
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std::int32_t typeparamsSize = 0;
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if (!parser.parseOptionalLParen()) {
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// parse the LEN params of the derived type. (<params> : <types>)
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if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::None) ||
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parser.parseColonTypeList(typeVec) || parser.parseRParen())
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return mlir::failure();
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typeparamsSize = operands.size();
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hasOperands = true;
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}
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std::int32_t shapeSize = 0;
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if (!parser.parseOptionalComma()) {
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// parse size to scale by, vector of n dimensions of type index
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if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::None))
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return mlir::failure();
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shapeSize = operands.size() - typeparamsSize;
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auto idxTy = builder.getIndexType();
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for (std::int32_t i = typeparamsSize, end = operands.size(); i != end; ++i)
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typeVec.push_back(idxTy);
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hasOperands = true;
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}
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if (hasOperands &&
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parser.resolveOperands(operands, typeVec, parser.getNameLoc(),
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result.operands))
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return mlir::failure();
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mlir::Type restype = wrapResultType(intype);
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if (!restype) {
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parser.emitError(parser.getNameLoc(), "invalid allocate type: ") << intype;
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return mlir::failure();
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}
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result.addAttribute("operand_segment_sizes",
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builder.getI32VectorAttr({typeparamsSize, shapeSize}));
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if (parser.parseOptionalAttrDict(result.attributes) ||
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parser.addTypeToList(restype, result.types))
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return mlir::failure();
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return mlir::success();
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}
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template <typename OP>
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static void printAllocatableOp(mlir::OpAsmPrinter &p, OP &op) {
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p << ' ' << op.in_type();
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if (!op.typeparams().empty()) {
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p << '(' << op.typeparams() << " : " << op.typeparams().getTypes() << ')';
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}
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// print the shape of the allocation (if any); all must be index type
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for (auto sh : op.shape()) {
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p << ", ";
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p.printOperand(sh);
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}
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p.printOptionalAttrDict(op->getAttrs(), {"in_type", "operand_segment_sizes"});
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}
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//===----------------------------------------------------------------------===//
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// AllocaOp
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//===----------------------------------------------------------------------===//
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/// Create a legal memory reference as return type
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static mlir::Type wrapAllocaResultType(mlir::Type intype) {
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// FIR semantics: memory references to memory references are disallowed
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if (intype.isa<ReferenceType>())
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return {};
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return ReferenceType::get(intype);
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}
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mlir::Type fir::AllocaOp::getAllocatedType() {
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return getType().cast<ReferenceType>().getEleTy();
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}
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mlir::Type fir::AllocaOp::getRefTy(mlir::Type ty) {
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return ReferenceType::get(ty);
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}
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void fir::AllocaOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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llvm::StringRef uniqName, mlir::ValueRange typeparams,
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mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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auto nameAttr = builder.getStringAttr(uniqName);
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build(builder, result, wrapAllocaResultType(inType), inType, nameAttr, {},
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/*pinned=*/false, typeparams, shape);
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result.addAttributes(attributes);
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}
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void fir::AllocaOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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llvm::StringRef uniqName, bool pinned,
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mlir::ValueRange typeparams, mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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auto nameAttr = builder.getStringAttr(uniqName);
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build(builder, result, wrapAllocaResultType(inType), inType, nameAttr, {},
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pinned, typeparams, shape);
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result.addAttributes(attributes);
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}
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void fir::AllocaOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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llvm::StringRef uniqName, llvm::StringRef bindcName,
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mlir::ValueRange typeparams, mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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auto nameAttr =
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uniqName.empty() ? mlir::StringAttr{} : builder.getStringAttr(uniqName);
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auto bindcAttr =
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bindcName.empty() ? mlir::StringAttr{} : builder.getStringAttr(bindcName);
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build(builder, result, wrapAllocaResultType(inType), inType, nameAttr,
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bindcAttr, /*pinned=*/false, typeparams, shape);
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result.addAttributes(attributes);
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}
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void fir::AllocaOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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llvm::StringRef uniqName, llvm::StringRef bindcName,
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bool pinned, mlir::ValueRange typeparams,
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mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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auto nameAttr =
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uniqName.empty() ? mlir::StringAttr{} : builder.getStringAttr(uniqName);
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auto bindcAttr =
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bindcName.empty() ? mlir::StringAttr{} : builder.getStringAttr(bindcName);
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build(builder, result, wrapAllocaResultType(inType), inType, nameAttr,
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bindcAttr, pinned, typeparams, shape);
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result.addAttributes(attributes);
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}
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void fir::AllocaOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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mlir::ValueRange typeparams, mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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build(builder, result, wrapAllocaResultType(inType), inType, {}, {},
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/*pinned=*/false, typeparams, shape);
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result.addAttributes(attributes);
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}
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void fir::AllocaOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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bool pinned, mlir::ValueRange typeparams,
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mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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build(builder, result, wrapAllocaResultType(inType), inType, {}, {}, pinned,
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typeparams, shape);
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result.addAttributes(attributes);
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}
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static mlir::LogicalResult verify(fir::AllocaOp &op) {
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llvm::SmallVector<llvm::StringRef> visited;
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if (verifyInType(op.getInType(), visited, op.numShapeOperands()))
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return op.emitOpError("invalid type for allocation");
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if (verifyTypeParamCount(op.getInType(), op.numLenParams()))
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return op.emitOpError("LEN params do not correspond to type");
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mlir::Type outType = op.getType();
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if (!outType.isa<fir::ReferenceType>())
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return op.emitOpError("must be a !fir.ref type");
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if (fir::isa_unknown_size_box(fir::dyn_cast_ptrEleTy(outType)))
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return op.emitOpError("cannot allocate !fir.box of unknown rank or type");
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return mlir::success();
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}
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//===----------------------------------------------------------------------===//
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// AllocMemOp
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//===----------------------------------------------------------------------===//
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/// Create a legal heap reference as return type
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static mlir::Type wrapAllocMemResultType(mlir::Type intype) {
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// Fortran semantics: C852 an entity cannot be both ALLOCATABLE and POINTER
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// 8.5.3 note 1 prohibits ALLOCATABLE procedures as well
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// FIR semantics: one may not allocate a memory reference value
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if (intype.isa<ReferenceType>() || intype.isa<HeapType>() ||
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intype.isa<PointerType>() || intype.isa<FunctionType>())
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return {};
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return HeapType::get(intype);
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}
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mlir::Type fir::AllocMemOp::getAllocatedType() {
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return getType().cast<HeapType>().getEleTy();
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}
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mlir::Type fir::AllocMemOp::getRefTy(mlir::Type ty) {
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return HeapType::get(ty);
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}
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void fir::AllocMemOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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llvm::StringRef uniqName,
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mlir::ValueRange typeparams, mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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auto nameAttr = builder.getStringAttr(uniqName);
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build(builder, result, wrapAllocMemResultType(inType), inType, nameAttr, {},
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typeparams, shape);
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result.addAttributes(attributes);
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}
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void fir::AllocMemOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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llvm::StringRef uniqName, llvm::StringRef bindcName,
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mlir::ValueRange typeparams, mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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auto nameAttr = builder.getStringAttr(uniqName);
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auto bindcAttr = builder.getStringAttr(bindcName);
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build(builder, result, wrapAllocMemResultType(inType), inType, nameAttr,
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bindcAttr, typeparams, shape);
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result.addAttributes(attributes);
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}
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void fir::AllocMemOp::build(mlir::OpBuilder &builder,
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mlir::OperationState &result, mlir::Type inType,
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mlir::ValueRange typeparams, mlir::ValueRange shape,
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llvm::ArrayRef<mlir::NamedAttribute> attributes) {
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build(builder, result, wrapAllocMemResultType(inType), inType, {}, {},
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typeparams, shape);
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result.addAttributes(attributes);
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}
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static mlir::LogicalResult verify(fir::AllocMemOp op) {
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llvm::SmallVector<llvm::StringRef> visited;
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if (verifyInType(op.getInType(), visited, op.numShapeOperands()))
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return op.emitOpError("invalid type for allocation");
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if (verifyTypeParamCount(op.getInType(), op.numLenParams()))
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return op.emitOpError("LEN params do not correspond to type");
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mlir::Type outType = op.getType();
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if (!outType.dyn_cast<fir::HeapType>())
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return op.emitOpError("must be a !fir.heap type");
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if (fir::isa_unknown_size_box(fir::dyn_cast_ptrEleTy(outType)))
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return op.emitOpError("cannot allocate !fir.box of unknown rank or type");
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return mlir::success();
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}
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//===----------------------------------------------------------------------===//
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// ArrayCoorOp
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//===----------------------------------------------------------------------===//
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static mlir::LogicalResult verify(fir::ArrayCoorOp op) {
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auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(op.memref().getType());
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auto arrTy = eleTy.dyn_cast<fir::SequenceType>();
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if (!arrTy)
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return op.emitOpError("must be a reference to an array");
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auto arrDim = arrTy.getDimension();
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if (auto shapeOp = op.shape()) {
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auto shapeTy = shapeOp.getType();
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unsigned shapeTyRank = 0;
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if (auto s = shapeTy.dyn_cast<fir::ShapeType>()) {
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shapeTyRank = s.getRank();
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} else if (auto ss = shapeTy.dyn_cast<fir::ShapeShiftType>()) {
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shapeTyRank = ss.getRank();
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} else {
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auto s = shapeTy.cast<fir::ShiftType>();
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shapeTyRank = s.getRank();
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if (!op.memref().getType().isa<fir::BoxType>())
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return op.emitOpError("shift can only be provided with fir.box memref");
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}
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if (arrDim && arrDim != shapeTyRank)
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return op.emitOpError("rank of dimension mismatched");
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if (shapeTyRank != op.indices().size())
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return op.emitOpError("number of indices do not match dim rank");
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}
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if (auto sliceOp = op.slice()) {
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if (auto sl = mlir::dyn_cast_or_null<fir::SliceOp>(sliceOp.getDefiningOp()))
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if (!sl.substr().empty())
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return op.emitOpError("array_coor cannot take a slice with substring");
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if (auto sliceTy = sliceOp.getType().dyn_cast<fir::SliceType>())
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if (sliceTy.getRank() != arrDim)
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return op.emitOpError("rank of dimension in slice mismatched");
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}
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return mlir::success();
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}
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//===----------------------------------------------------------------------===//
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// ArrayLoadOp
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//===----------------------------------------------------------------------===//
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static mlir::Type adjustedElementType(mlir::Type t) {
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if (auto ty = t.dyn_cast<fir::ReferenceType>()) {
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auto eleTy = ty.getEleTy();
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if (fir::isa_char(eleTy))
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return eleTy;
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if (fir::isa_derived(eleTy))
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return eleTy;
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if (eleTy.isa<fir::SequenceType>())
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return eleTy;
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}
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return t;
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}
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std::vector<mlir::Value> fir::ArrayLoadOp::getExtents() {
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if (auto sh = shape())
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if (auto *op = sh.getDefiningOp()) {
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if (auto shOp = dyn_cast<fir::ShapeOp>(op))
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return shOp.getExtents();
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return cast<fir::ShapeShiftOp>(op).getExtents();
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}
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return {};
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}
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static mlir::LogicalResult verify(fir::ArrayLoadOp op) {
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auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(op.memref().getType());
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auto arrTy = eleTy.dyn_cast<fir::SequenceType>();
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if (!arrTy)
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return op.emitOpError("must be a reference to an array");
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auto arrDim = arrTy.getDimension();
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if (auto shapeOp = op.shape()) {
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auto shapeTy = shapeOp.getType();
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unsigned shapeTyRank = 0;
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if (auto s = shapeTy.dyn_cast<fir::ShapeType>()) {
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shapeTyRank = s.getRank();
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} else if (auto ss = shapeTy.dyn_cast<fir::ShapeShiftType>()) {
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shapeTyRank = ss.getRank();
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} else {
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auto s = shapeTy.cast<fir::ShiftType>();
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shapeTyRank = s.getRank();
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if (!op.memref().getType().isa<fir::BoxType>())
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return op.emitOpError("shift can only be provided with fir.box memref");
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}
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if (arrDim && arrDim != shapeTyRank)
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return op.emitOpError("rank of dimension mismatched");
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}
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if (auto sliceOp = op.slice()) {
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if (auto sl = mlir::dyn_cast_or_null<fir::SliceOp>(sliceOp.getDefiningOp()))
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if (!sl.substr().empty())
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return op.emitOpError("array_load cannot take a slice with substring");
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if (auto sliceTy = sliceOp.getType().dyn_cast<fir::SliceType>())
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if (sliceTy.getRank() != arrDim)
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return op.emitOpError("rank of dimension in slice mismatched");
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}
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return mlir::success();
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}
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//===----------------------------------------------------------------------===//
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// ArrayMergeStoreOp
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//===----------------------------------------------------------------------===//
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static mlir::LogicalResult verify(fir::ArrayMergeStoreOp op) {
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if (!isa<ArrayLoadOp>(op.original().getDefiningOp()))
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return op.emitOpError("operand #0 must be result of a fir.array_load op");
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if (auto sl = op.slice()) {
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if (auto sliceOp =
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mlir::dyn_cast_or_null<fir::SliceOp>(sl.getDefiningOp())) {
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if (!sliceOp.substr().empty())
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return op.emitOpError(
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"array_merge_store cannot take a slice with substring");
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if (!sliceOp.fields().empty()) {
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// This is an intra-object merge, where the slice is projecting the
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// subfields that are to be overwritten by the merge operation.
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auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(op.memref().getType());
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if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>()) {
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auto projTy =
|
|
fir::applyPathToType(seqTy.getEleTy(), sliceOp.fields());
|
|
if (fir::unwrapSequenceType(op.original().getType()) != projTy)
|
|
return op.emitOpError(
|
|
"type of origin does not match sliced memref type");
|
|
if (fir::unwrapSequenceType(op.sequence().getType()) != projTy)
|
|
return op.emitOpError(
|
|
"type of sequence does not match sliced memref type");
|
|
return mlir::success();
|
|
}
|
|
return op.emitOpError("referenced type is not an array");
|
|
}
|
|
}
|
|
return mlir::success();
|
|
}
|
|
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(op.memref().getType());
|
|
if (op.original().getType() != eleTy)
|
|
return op.emitOpError("type of origin does not match memref element type");
|
|
if (op.sequence().getType() != eleTy)
|
|
return op.emitOpError(
|
|
"type of sequence does not match memref element type");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayFetchOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
// Template function used for both array_fetch and array_update verification.
|
|
template <typename A>
|
|
mlir::Type validArraySubobject(A op) {
|
|
auto ty = op.sequence().getType();
|
|
return fir::applyPathToType(ty, op.indices());
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::ArrayFetchOp op) {
|
|
auto arrTy = op.sequence().getType().cast<fir::SequenceType>();
|
|
auto indSize = op.indices().size();
|
|
if (indSize < arrTy.getDimension())
|
|
return op.emitOpError("number of indices != dimension of array");
|
|
if (indSize == arrTy.getDimension() &&
|
|
::adjustedElementType(op.element().getType()) != arrTy.getEleTy())
|
|
return op.emitOpError("return type does not match array");
|
|
auto ty = validArraySubobject(op);
|
|
if (!ty || ty != ::adjustedElementType(op.getType()))
|
|
return op.emitOpError("return type and/or indices do not type check");
|
|
if (!isa<fir::ArrayLoadOp>(op.sequence().getDefiningOp()))
|
|
return op.emitOpError("argument #0 must be result of fir.array_load");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayUpdateOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::ArrayUpdateOp op) {
|
|
auto arrTy = op.sequence().getType().cast<fir::SequenceType>();
|
|
auto indSize = op.indices().size();
|
|
if (indSize < arrTy.getDimension())
|
|
return op.emitOpError("number of indices != dimension of array");
|
|
if (indSize == arrTy.getDimension() &&
|
|
::adjustedElementType(op.merge().getType()) != arrTy.getEleTy())
|
|
return op.emitOpError("merged value does not have element type");
|
|
auto ty = validArraySubobject(op);
|
|
if (!ty || ty != ::adjustedElementType(op.merge().getType()))
|
|
return op.emitOpError("merged value and/or indices do not type check");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayModifyOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::ArrayModifyOp op) {
|
|
auto arrTy = op.sequence().getType().cast<fir::SequenceType>();
|
|
auto indSize = op.indices().size();
|
|
if (indSize < arrTy.getDimension())
|
|
return op.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 = val().getDefiningOp()) {
|
|
if (auto box = dyn_cast<fir::EmboxOp>(v))
|
|
return box.memref();
|
|
if (auto box = dyn_cast<fir::EmboxCharOp>(v))
|
|
return box.memref();
|
|
}
|
|
return {};
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// BoxCharLenOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::OpFoldResult
|
|
fir::BoxCharLenOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
|
|
if (auto v = val().getDefiningOp()) {
|
|
if (auto box = dyn_cast<fir::EmboxCharOp>(v))
|
|
return box.len();
|
|
}
|
|
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());
|
|
}
|
|
|
|
static void printCallOp(mlir::OpAsmPrinter &p, fir::CallOp &op) {
|
|
auto callee = op.callee();
|
|
bool isDirect = callee.hasValue();
|
|
p << ' ';
|
|
if (isDirect)
|
|
p << callee.getValue();
|
|
else
|
|
p << op.getOperand(0);
|
|
p << '(' << op->getOperands().drop_front(isDirect ? 0 : 1) << ')';
|
|
p.printOptionalAttrDict(op->getAttrs(), {"callee"});
|
|
auto resultTypes{op.getResultTypes()};
|
|
llvm::SmallVector<Type> argTypes(
|
|
llvm::drop_begin(op.getOperandTypes(), isDirect ? 0 : 1));
|
|
p << " : " << FunctionType::get(op.getContext(), argTypes, resultTypes);
|
|
}
|
|
|
|
static mlir::ParseResult parseCallOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> operands;
|
|
if (parser.parseOperandList(operands))
|
|
return mlir::failure();
|
|
|
|
mlir::NamedAttrList attrs;
|
|
mlir::SymbolRefAttr funcAttr;
|
|
bool isDirect = operands.empty();
|
|
if (isDirect)
|
|
if (parser.parseAttribute(funcAttr, "callee", attrs))
|
|
return mlir::failure();
|
|
|
|
Type type;
|
|
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::Paren) ||
|
|
parser.parseOptionalAttrDict(attrs) || parser.parseColon() ||
|
|
parser.parseType(type))
|
|
return mlir::failure();
|
|
|
|
auto funcType = type.dyn_cast<mlir::FunctionType>();
|
|
if (!funcType)
|
|
return parser.emitError(parser.getNameLoc(), "expected function type");
|
|
if (isDirect) {
|
|
if (parser.resolveOperands(operands, funcType.getInputs(),
|
|
parser.getNameLoc(), result.operands))
|
|
return mlir::failure();
|
|
} else {
|
|
auto funcArgs =
|
|
llvm::ArrayRef<mlir::OpAsmParser::OperandType>(operands).drop_front();
|
|
if (parser.resolveOperand(operands[0], funcType, result.operands) ||
|
|
parser.resolveOperands(funcArgs, funcType.getInputs(),
|
|
parser.getNameLoc(), result.operands))
|
|
return mlir::failure();
|
|
}
|
|
result.addTypes(funcType.getResults());
|
|
result.attributes = attrs;
|
|
return mlir::success();
|
|
}
|
|
|
|
void fir::CallOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
|
|
mlir::FuncOp callee, mlir::ValueRange operands) {
|
|
result.addOperands(operands);
|
|
result.addAttribute(getCalleeAttrName(), SymbolRefAttr::get(callee));
|
|
result.addTypes(callee.getType().getResults());
|
|
}
|
|
|
|
void fir::CallOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
|
|
mlir::SymbolRefAttr callee,
|
|
llvm::ArrayRef<mlir::Type> results,
|
|
mlir::ValueRange operands) {
|
|
result.addOperands(operands);
|
|
if (callee)
|
|
result.addAttribute(getCalleeAttrName(), callee);
|
|
result.addTypes(results);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
template <typename OPTY>
|
|
static void printCmpOp(OpAsmPrinter &p, OPTY op) {
|
|
p << ' ';
|
|
auto predSym = mlir::arith::symbolizeCmpFPredicate(
|
|
op->template getAttrOfType<mlir::IntegerAttr>(
|
|
OPTY::getPredicateAttrName())
|
|
.getInt());
|
|
assert(predSym.hasValue() && "invalid symbol value for predicate");
|
|
p << '"' << mlir::arith::stringifyCmpFPredicate(predSym.getValue()) << '"'
|
|
<< ", ";
|
|
p.printOperand(op.lhs());
|
|
p << ", ";
|
|
p.printOperand(op.rhs());
|
|
p.printOptionalAttrDict(op->getAttrs(),
|
|
/*elidedAttrs=*/{OPTY::getPredicateAttrName()});
|
|
p << " : " << op.lhs().getType();
|
|
}
|
|
|
|
template <typename OPTY>
|
|
static mlir::ParseResult parseCmpOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> ops;
|
|
mlir::NamedAttrList attrs;
|
|
mlir::Attribute predicateNameAttr;
|
|
mlir::Type type;
|
|
if (parser.parseAttribute(predicateNameAttr, OPTY::getPredicateAttrName(),
|
|
attrs) ||
|
|
parser.parseComma() || parser.parseOperandList(ops, 2) ||
|
|
parser.parseOptionalAttrDict(attrs) || parser.parseColonType(type) ||
|
|
parser.resolveOperands(ops, type, result.operands))
|
|
return failure();
|
|
|
|
if (!predicateNameAttr.isa<mlir::StringAttr>())
|
|
return parser.emitError(parser.getNameLoc(),
|
|
"expected string comparison predicate attribute");
|
|
|
|
// Rewrite string attribute to an enum value.
|
|
llvm::StringRef predicateName =
|
|
predicateNameAttr.cast<mlir::StringAttr>().getValue();
|
|
auto predicate = fir::CmpcOp::getPredicateByName(predicateName);
|
|
auto builder = parser.getBuilder();
|
|
mlir::Type i1Type = builder.getI1Type();
|
|
attrs.set(OPTY::getPredicateAttrName(),
|
|
builder.getI64IntegerAttr(static_cast<int64_t>(predicate)));
|
|
result.attributes = attrs;
|
|
result.addTypes({i1Type});
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CharConvertOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::CharConvertOp op) {
|
|
auto unwrap = [&](mlir::Type t) {
|
|
t = fir::unwrapSequenceType(fir::dyn_cast_ptrEleTy(t));
|
|
return t.dyn_cast<fir::CharacterType>();
|
|
};
|
|
auto inTy = unwrap(op.from().getType());
|
|
auto outTy = unwrap(op.to().getType());
|
|
if (!(inTy && outTy))
|
|
return op.emitOpError("not a reference to a character");
|
|
if (inTy.getFKind() == outTy.getFKind())
|
|
return op.emitOpError("buffers must have different KIND values");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::buildCmpCOp(OpBuilder &builder, OperationState &result,
|
|
arith::CmpFPredicate predicate, Value lhs, Value rhs) {
|
|
result.addOperands({lhs, rhs});
|
|
result.types.push_back(builder.getI1Type());
|
|
result.addAttribute(
|
|
fir::CmpcOp::getPredicateAttrName(),
|
|
builder.getI64IntegerAttr(static_cast<int64_t>(predicate)));
|
|
}
|
|
|
|
mlir::arith::CmpFPredicate
|
|
fir::CmpcOp::getPredicateByName(llvm::StringRef name) {
|
|
auto pred = mlir::arith::symbolizeCmpFPredicate(name);
|
|
assert(pred.hasValue() && "invalid predicate name");
|
|
return pred.getValue();
|
|
}
|
|
|
|
static void printCmpcOp(OpAsmPrinter &p, fir::CmpcOp op) { printCmpOp(p, op); }
|
|
|
|
mlir::ParseResult fir::parseCmpcOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
return parseCmpOp<fir::CmpcOp>(parser, result);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ConstcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::ParseResult parseConstcOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
fir::RealAttr realp;
|
|
fir::RealAttr imagp;
|
|
mlir::Type type;
|
|
if (parser.parseLParen() ||
|
|
parser.parseAttribute(realp, fir::ConstcOp::realAttrName(),
|
|
result.attributes) ||
|
|
parser.parseComma() ||
|
|
parser.parseAttribute(imagp, fir::ConstcOp::imagAttrName(),
|
|
result.attributes) ||
|
|
parser.parseRParen() || parser.parseColonType(type) ||
|
|
parser.addTypesToList(type, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::ConstcOp &op) {
|
|
p << " (0x";
|
|
auto f1 = op.getOperation()
|
|
->getAttr(fir::ConstcOp::realAttrName())
|
|
.cast<mlir::FloatAttr>();
|
|
auto i1 = f1.getValue().bitcastToAPInt();
|
|
p.getStream().write_hex(i1.getZExtValue());
|
|
p << ", 0x";
|
|
auto f2 = op.getOperation()
|
|
->getAttr(fir::ConstcOp::imagAttrName())
|
|
.cast<mlir::FloatAttr>();
|
|
auto i2 = f2.getValue().bitcastToAPInt();
|
|
p.getStream().write_hex(i2.getZExtValue());
|
|
p << ") : ";
|
|
p.printType(op.getType());
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::ConstcOp &op) {
|
|
if (!op.getType().isa<fir::ComplexType>())
|
|
return op.emitOpError("must be a !fir.complex type");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ConvertOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::ConvertOp::getCanonicalizationPatterns(
|
|
OwningRewritePatternList &results, MLIRContext *context) {
|
|
results.insert<ConvertConvertOptPattern, RedundantConvertOptPattern,
|
|
CombineConvertOptPattern, ForwardConstantConvertPattern>(
|
|
context);
|
|
}
|
|
|
|
mlir::OpFoldResult fir::ConvertOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
|
|
if (value().getType() == getType())
|
|
return value();
|
|
if (matchPattern(value(), m_Op<fir::ConvertOp>())) {
|
|
auto inner = cast<fir::ConvertOp>(value().getDefiningOp());
|
|
// (convert (convert 'a : logical -> i1) : i1 -> logical) ==> forward 'a
|
|
if (auto toTy = getType().dyn_cast<fir::LogicalType>())
|
|
if (auto fromTy = inner.value().getType().dyn_cast<fir::LogicalType>())
|
|
if (inner.getType().isa<mlir::IntegerType>() && (toTy == fromTy))
|
|
return inner.value();
|
|
// (convert (convert 'a : i1 -> logical) : logical -> i1) ==> forward 'a
|
|
if (auto toTy = getType().dyn_cast<mlir::IntegerType>())
|
|
if (auto fromTy = inner.value().getType().dyn_cast<mlir::IntegerType>())
|
|
if (inner.getType().isa<fir::LogicalType>() && (toTy == fromTy) &&
|
|
(fromTy.getWidth() == 1))
|
|
return inner.value();
|
|
}
|
|
return {};
|
|
}
|
|
|
|
bool fir::ConvertOp::isIntegerCompatible(mlir::Type ty) {
|
|
return ty.isa<mlir::IntegerType>() || ty.isa<mlir::IndexType>() ||
|
|
ty.isa<fir::IntegerType>() || ty.isa<fir::LogicalType>();
|
|
}
|
|
|
|
bool fir::ConvertOp::isFloatCompatible(mlir::Type ty) {
|
|
return ty.isa<mlir::FloatType>() || ty.isa<fir::RealType>();
|
|
}
|
|
|
|
bool fir::ConvertOp::isPointerCompatible(mlir::Type ty) {
|
|
return ty.isa<fir::ReferenceType>() || ty.isa<fir::PointerType>() ||
|
|
ty.isa<fir::HeapType>() || ty.isa<mlir::MemRefType>() ||
|
|
ty.isa<mlir::FunctionType>() || ty.isa<fir::TypeDescType>();
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::ConvertOp &op) {
|
|
auto inType = op.value().getType();
|
|
auto outType = op.getType();
|
|
if (inType == outType)
|
|
return mlir::success();
|
|
if ((op.isPointerCompatible(inType) && op.isPointerCompatible(outType)) ||
|
|
(op.isIntegerCompatible(inType) && op.isIntegerCompatible(outType)) ||
|
|
(op.isIntegerCompatible(inType) && op.isFloatCompatible(outType)) ||
|
|
(op.isFloatCompatible(inType) && op.isIntegerCompatible(outType)) ||
|
|
(op.isFloatCompatible(inType) && op.isFloatCompatible(outType)) ||
|
|
(op.isIntegerCompatible(inType) && op.isPointerCompatible(outType)) ||
|
|
(op.isPointerCompatible(inType) && op.isIntegerCompatible(outType)) ||
|
|
(inType.isa<fir::BoxType>() && outType.isa<fir::BoxType>()) ||
|
|
(fir::isa_complex(inType) && fir::isa_complex(outType)))
|
|
return mlir::success();
|
|
return op.emitOpError("invalid type conversion");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CoordinateOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::CoordinateOp op) {
|
|
p << ' ' << op.ref() << ", " << op.coor();
|
|
p.printOptionalAttrDict(op->getAttrs(), /*elideAttrs=*/{"baseType"});
|
|
p << " : ";
|
|
p.printFunctionalType(op.getOperandTypes(), op->getResultTypes());
|
|
}
|
|
|
|
static mlir::ParseResult parseCoordinateCustom(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::OpAsmParser::OperandType memref;
|
|
if (parser.parseOperand(memref) || parser.parseComma())
|
|
return mlir::failure();
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> coorOperands;
|
|
if (parser.parseOperandList(coorOperands))
|
|
return mlir::failure();
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> allOperands;
|
|
allOperands.push_back(memref);
|
|
allOperands.append(coorOperands.begin(), coorOperands.end());
|
|
mlir::FunctionType funcTy;
|
|
auto loc = parser.getCurrentLocation();
|
|
if (parser.parseOptionalAttrDict(result.attributes) ||
|
|
parser.parseColonType(funcTy) ||
|
|
parser.resolveOperands(allOperands, funcTy.getInputs(), loc,
|
|
result.operands))
|
|
return failure();
|
|
parser.addTypesToList(funcTy.getResults(), result.types);
|
|
result.addAttribute("baseType", mlir::TypeAttr::get(funcTy.getInput(0)));
|
|
return mlir::success();
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::CoordinateOp op) {
|
|
auto refTy = op.ref().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 op.emitOpError("cannot find coordinate in unknown shape");
|
|
if (arrTy.getConstantRows() < arrTy.getDimension() - 1)
|
|
return op.emitOpError("cannot find coordinate with unknown extents");
|
|
}
|
|
if (!(fir::isa_aggregate(eleTy) || fir::isa_complex(eleTy) ||
|
|
fir::isa_char_string(eleTy)))
|
|
return op.emitOpError("cannot apply coordinate_of to this type");
|
|
}
|
|
// Recovering a LEN type parameter only makes sense from a boxed value. For a
|
|
// bare reference, the LEN type parameters must be passed as additional
|
|
// arguments to `op`.
|
|
for (auto co : op.coor())
|
|
if (dyn_cast_or_null<fir::LenParamIndexOp>(co.getDefiningOp())) {
|
|
if (op.getNumOperands() != 2)
|
|
return op.emitOpError("len_param_index must be last argument");
|
|
if (!op.ref().getType().isa<BoxType>())
|
|
return op.emitOpError("len_param_index must be used on box type");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// DispatchOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::FunctionType fir::DispatchOp::getFunctionType() {
|
|
return mlir::FunctionType::get(getContext(), getOperandTypes(),
|
|
getResultTypes());
|
|
}
|
|
|
|
static mlir::ParseResult parseDispatchOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::FunctionType calleeType;
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> operands;
|
|
auto calleeLoc = parser.getNameLoc();
|
|
llvm::StringRef calleeName;
|
|
if (failed(parser.parseOptionalKeyword(&calleeName))) {
|
|
mlir::StringAttr calleeAttr;
|
|
if (parser.parseAttribute(calleeAttr, fir::DispatchOp::getMethodAttrName(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
} else {
|
|
result.addAttribute(fir::DispatchOp::getMethodAttrName(),
|
|
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();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::DispatchOp &op) {
|
|
p << ' ' << op.getOperation()->getAttr(fir::DispatchOp::getMethodAttrName())
|
|
<< '(';
|
|
p.printOperand(op.object());
|
|
if (!op.args().empty()) {
|
|
p << ", ";
|
|
p.printOperands(op.args());
|
|
}
|
|
p << ") : ";
|
|
p.printFunctionalType(op.getOperation()->getOperandTypes(),
|
|
op.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);
|
|
}
|
|
|
|
static mlir::ParseResult parseDispatchTableOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
// Parse the name as a symbol reference attribute.
|
|
SymbolRefAttr nameAttr;
|
|
if (parser.parseAttribute(nameAttr, mlir::SymbolTable::getSymbolAttrName(),
|
|
result.attributes))
|
|
return 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();
|
|
OptionalParseResult parseResult = parser.parseOptionalRegion(*body);
|
|
if (parseResult.hasValue() && failed(*parseResult))
|
|
return mlir::failure();
|
|
|
|
fir::DispatchTableOp::ensureTerminator(*body, parser.getBuilder(),
|
|
result.location);
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::DispatchTableOp &op) {
|
|
auto tableName =
|
|
op.getOperation()
|
|
->getAttrOfType<StringAttr>(mlir::SymbolTable::getSymbolAttrName())
|
|
.getValue();
|
|
p << " @" << tableName;
|
|
|
|
Region &body = op.getOperation()->getRegion(0);
|
|
if (!body.empty())
|
|
p.printRegion(body, /*printEntryBlockArgs=*/false,
|
|
/*printBlockTerminators=*/false);
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::DispatchTableOp &op) {
|
|
for (auto &op : op.getBlock())
|
|
if (!(isa<fir::DTEntryOp>(op) || isa<fir::FirEndOp>(op)))
|
|
return op.emitOpError("dispatch table must contain dt_entry");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// EmboxOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::EmboxOp op) {
|
|
auto eleTy = fir::dyn_cast_ptrEleTy(op.memref().getType());
|
|
bool isArray = false;
|
|
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>()) {
|
|
eleTy = seqTy.getEleTy();
|
|
isArray = true;
|
|
}
|
|
if (op.hasLenParams()) {
|
|
auto lenPs = op.numLenParams();
|
|
if (auto rt = eleTy.dyn_cast<fir::RecordType>()) {
|
|
if (lenPs != rt.getNumLenParams())
|
|
return op.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 op.emitOpError("CHARACTER already has static LEN");
|
|
} else {
|
|
return op.emitOpError("LEN parameters require CHARACTER or derived type");
|
|
}
|
|
for (auto lp : op.typeparams())
|
|
if (!fir::isa_integer(lp.getType()))
|
|
return op.emitOpError("LEN parameters must be integral type");
|
|
}
|
|
if (op.getShape() && !isArray)
|
|
return op.emitOpError("shape must not be provided for a scalar");
|
|
if (op.getSlice() && !isArray)
|
|
return op.emitOpError("slice must not be provided for a scalar");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// EmboxCharOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::EmboxCharOp &op) {
|
|
auto eleTy = fir::dyn_cast_ptrEleTy(op.memref().getType());
|
|
if (!eleTy.dyn_cast_or_null<CharacterType>())
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// EmboxProcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::ParseResult parseEmboxProcOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::SymbolRefAttr procRef;
|
|
if (parser.parseAttribute(procRef, "funcname", result.attributes))
|
|
return mlir::failure();
|
|
bool hasTuple = false;
|
|
mlir::OpAsmParser::OperandType tupleRef;
|
|
if (!parser.parseOptionalComma()) {
|
|
if (parser.parseOperand(tupleRef))
|
|
return mlir::failure();
|
|
hasTuple = true;
|
|
}
|
|
mlir::FunctionType type;
|
|
if (parser.parseColon() || parser.parseLParen() || parser.parseType(type))
|
|
return mlir::failure();
|
|
result.addAttribute("functype", mlir::TypeAttr::get(type));
|
|
if (hasTuple) {
|
|
mlir::Type tupleType;
|
|
if (parser.parseComma() || parser.parseType(tupleType) ||
|
|
parser.resolveOperand(tupleRef, tupleType, result.operands))
|
|
return mlir::failure();
|
|
}
|
|
mlir::Type boxType;
|
|
if (parser.parseRParen() || parser.parseArrow() ||
|
|
parser.parseType(boxType) || parser.addTypesToList(boxType, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::EmboxProcOp &op) {
|
|
p << ' ' << op.getOperation()->getAttr("funcname");
|
|
auto h = op.host();
|
|
if (h) {
|
|
p << ", ";
|
|
p.printOperand(h);
|
|
}
|
|
p << " : (" << op.getOperation()->getAttr("functype");
|
|
if (h)
|
|
p << ", " << h.getType();
|
|
p << ") -> " << op.getType();
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::EmboxProcOp &op) {
|
|
// host bindings (optional) must be a reference to a tuple
|
|
if (auto h = op.host()) {
|
|
if (auto r = h.getType().dyn_cast<ReferenceType>()) {
|
|
if (!r.getEleTy().dyn_cast<mlir::TupleType>())
|
|
return mlir::failure();
|
|
} else {
|
|
return mlir::failure();
|
|
}
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// GenTypeDescOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::GenTypeDescOp::build(OpBuilder &, OperationState &result,
|
|
mlir::TypeAttr inty) {
|
|
result.addAttribute("in_type", inty);
|
|
result.addTypes(TypeDescType::get(inty.getValue()));
|
|
}
|
|
|
|
static mlir::ParseResult parseGenTypeDescOp(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 = TypeDescType::get(intype);
|
|
if (parser.addTypeToList(restype, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::GenTypeDescOp &op) {
|
|
p << ' ' << op.getOperation()->getAttr("in_type");
|
|
p.printOptionalAttrDict(op.getOperation()->getAttrs(), {"in_type"});
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::GenTypeDescOp &op) {
|
|
mlir::Type resultTy = op.getType();
|
|
if (auto tdesc = resultTy.dyn_cast<TypeDescType>()) {
|
|
if (tdesc.getOfTy() != op.getInType())
|
|
return op.emitOpError("wrapped type mismatched");
|
|
} else {
|
|
return op.emitOpError("must be !fir.tdesc type");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// GlobalOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static ParseResult parseGlobalOp(OpAsmParser &parser, 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::linkageAttrName(), linkAttr);
|
|
}
|
|
|
|
// Parse the name as a symbol reference attribute.
|
|
mlir::SymbolRefAttr nameAttr;
|
|
if (parser.parseAttribute(nameAttr, fir::GlobalOp::symbolAttrName(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
result.addAttribute(mlir::SymbolTable::getSymbolAttrName(),
|
|
nameAttr.getRootReference());
|
|
|
|
bool simpleInitializer = false;
|
|
if (mlir::succeeded(parser.parseOptionalLParen())) {
|
|
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::typeAttrName(result.name),
|
|
mlir::TypeAttr::get(globalType));
|
|
|
|
if (simpleInitializer) {
|
|
result.addRegion();
|
|
} else {
|
|
// Parse the optional initializer body.
|
|
auto parseResult = parser.parseOptionalRegion(
|
|
*result.addRegion(), /*arguments=*/llvm::None, /*argTypes=*/llvm::None);
|
|
if (parseResult.hasValue() && mlir::failed(*parseResult))
|
|
return mlir::failure();
|
|
}
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::GlobalOp &op) {
|
|
if (op.linkName().hasValue())
|
|
p << ' ' << op.linkName().getValue();
|
|
p << ' ';
|
|
p.printAttributeWithoutType(
|
|
op.getOperation()->getAttr(fir::GlobalOp::symbolAttrName()));
|
|
if (auto val = op.getValueOrNull())
|
|
p << '(' << val << ')';
|
|
if (op.getOperation()->getAttr(fir::GlobalOp::getConstantAttrName()))
|
|
p << " constant";
|
|
p << " : ";
|
|
p.printType(op.getType());
|
|
if (op.hasInitializationBody())
|
|
p.printRegion(op.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, OperationState &result,
|
|
StringRef name, bool isConstant, Type type,
|
|
Attribute initialVal, StringAttr linkage,
|
|
ArrayRef<NamedAttribute> attrs) {
|
|
result.addRegion();
|
|
result.addAttribute(typeAttrName(result.name), mlir::TypeAttr::get(type));
|
|
result.addAttribute(mlir::SymbolTable::getSymbolAttrName(),
|
|
builder.getStringAttr(name));
|
|
result.addAttribute(symbolAttrName(),
|
|
SymbolRefAttr::get(builder.getContext(), name));
|
|
if (isConstant)
|
|
result.addAttribute(constantAttrName(result.name), builder.getUnitAttr());
|
|
if (initialVal)
|
|
result.addAttribute(initValAttrName(result.name), initialVal);
|
|
if (linkage)
|
|
result.addAttribute(linkageAttrName(), linkage);
|
|
result.attributes.append(attrs.begin(), attrs.end());
|
|
}
|
|
|
|
void fir::GlobalOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
StringRef name, Type type, Attribute initialVal,
|
|
StringAttr linkage, ArrayRef<NamedAttribute> attrs) {
|
|
build(builder, result, name, /*isConstant=*/false, type, {}, linkage, attrs);
|
|
}
|
|
|
|
void fir::GlobalOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
StringRef name, bool isConstant, Type type,
|
|
StringAttr linkage, ArrayRef<NamedAttribute> attrs) {
|
|
build(builder, result, name, isConstant, type, {}, linkage, attrs);
|
|
}
|
|
|
|
void fir::GlobalOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
StringRef name, Type type, StringAttr linkage,
|
|
ArrayRef<NamedAttribute> attrs) {
|
|
build(builder, result, name, /*isConstant=*/false, type, {}, linkage, attrs);
|
|
}
|
|
|
|
void fir::GlobalOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
StringRef name, bool isConstant, Type type,
|
|
ArrayRef<NamedAttribute> attrs) {
|
|
build(builder, result, name, isConstant, type, StringAttr{}, attrs);
|
|
}
|
|
|
|
void fir::GlobalOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
StringRef name, Type type,
|
|
ArrayRef<NamedAttribute> attrs) {
|
|
build(builder, result, name, /*isConstant=*/false, type, attrs);
|
|
}
|
|
|
|
mlir::ParseResult fir::GlobalOp::verifyValidLinkage(StringRef linkage) {
|
|
// Supporting only a subset of the LLVM linkage types for now
|
|
static const char *validNames[] = {"common", "internal", "linkonce", "weak"};
|
|
return mlir::success(llvm::is_contained(validNames, linkage));
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// GlobalLenOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::Type fir::GlobalOp::resultType() {
|
|
return wrapAllocaResultType(getType());
|
|
}
|
|
|
|
static mlir::ParseResult parseGlobalLenOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
llvm::StringRef fieldName;
|
|
if (failed(parser.parseOptionalKeyword(&fieldName))) {
|
|
mlir::StringAttr fieldAttr;
|
|
if (parser.parseAttribute(fieldAttr, fir::GlobalLenOp::lenParamAttrName(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
} else {
|
|
result.addAttribute(fir::GlobalLenOp::lenParamAttrName(),
|
|
parser.getBuilder().getStringAttr(fieldName));
|
|
}
|
|
mlir::IntegerAttr constant;
|
|
if (parser.parseComma() ||
|
|
parser.parseAttribute(constant, fir::GlobalLenOp::intAttrName(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::GlobalLenOp &op) {
|
|
p << ' ' << op.getOperation()->getAttr(fir::GlobalLenOp::lenParamAttrName())
|
|
<< ", " << op.getOperation()->getAttr(fir::GlobalLenOp::intAttrName());
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// FieldIndexOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::ParseResult parseFieldIndexOp(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::fieldAttrName(),
|
|
builder.getStringAttr(fieldName));
|
|
if (!recty.dyn_cast<RecordType>())
|
|
return mlir::failure();
|
|
result.addAttribute(fir::FieldIndexOp::typeAttrName(),
|
|
mlir::TypeAttr::get(recty));
|
|
if (!parser.parseOptionalLParen()) {
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> 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 = fir::FieldType::get(builder.getContext());
|
|
if (parser.addTypeToList(fieldType, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::FieldIndexOp &op) {
|
|
p << ' '
|
|
<< op.getOperation()
|
|
->getAttrOfType<mlir::StringAttr>(fir::FieldIndexOp::fieldAttrName())
|
|
.getValue()
|
|
<< ", " << op.getOperation()->getAttr(fir::FieldIndexOp::typeAttrName());
|
|
if (op.getNumOperands()) {
|
|
p << '(';
|
|
p.printOperands(op.typeparams());
|
|
const auto *sep = ") : ";
|
|
for (auto op : op.typeparams()) {
|
|
p << sep;
|
|
if (op)
|
|
p.printType(op.getType());
|
|
else
|
|
p << "()";
|
|
sep = ", ";
|
|
}
|
|
}
|
|
}
|
|
|
|
void fir::FieldIndexOp::build(mlir::OpBuilder &builder,
|
|
mlir::OperationState &result,
|
|
llvm::StringRef fieldName, mlir::Type recTy,
|
|
mlir::ValueRange operands) {
|
|
result.addAttribute(fieldAttrName(), builder.getStringAttr(fieldName));
|
|
result.addAttribute(typeAttrName(), TypeAttr::get(recTy));
|
|
result.addOperands(operands);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// InsertOnRangeOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/// Range bounds must be nonnegative, and the range must not be empty.
|
|
static mlir::LogicalResult verify(fir::InsertOnRangeOp op) {
|
|
if (fir::hasDynamicSize(op.seq().getType()))
|
|
return op.emitOpError("must have constant shape and size");
|
|
if (op.coor().size() < 2 || op.coor().size() % 2 != 0)
|
|
return op.emitOpError("has uneven number of values in ranges");
|
|
bool rangeIsKnownToBeNonempty = false;
|
|
for (auto i = op.coor().end(), b = op.coor().begin(); i != b;) {
|
|
int64_t ub = (*--i).cast<IntegerAttr>().getInt();
|
|
int64_t lb = (*--i).cast<IntegerAttr>().getInt();
|
|
if (lb < 0 || ub < 0)
|
|
return op.emitOpError("negative range bound");
|
|
if (rangeIsKnownToBeNonempty)
|
|
continue;
|
|
if (lb > ub)
|
|
return op.emitOpError("empty range");
|
|
rangeIsKnownToBeNonempty = lb < ub;
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// InsertValueOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static bool checkIsIntegerConstant(mlir::Attribute attr, 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 = dyn_cast_or_null<fir::InsertValueOp>(op);
|
|
if (!insval || !insval.getType().isa<fir::ComplexType>())
|
|
return mlir::failure();
|
|
auto insval2 =
|
|
dyn_cast_or_null<fir::InsertValueOp>(insval.adt().getDefiningOp());
|
|
if (!insval2 || !isa<fir::UndefOp>(insval2.adt().getDefiningOp()))
|
|
return mlir::failure();
|
|
auto binf = dyn_cast_or_null<FltOp>(insval.val().getDefiningOp());
|
|
auto binf2 = dyn_cast_or_null<FltOp>(insval2.val().getDefiningOp());
|
|
if (!binf || !binf2 || insval.coor().size() != 1 ||
|
|
!isOne(insval.coor()[0]) || insval2.coor().size() != 1 ||
|
|
!isZero(insval2.coor()[0]))
|
|
return mlir::failure();
|
|
auto eai =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf.lhs().getDefiningOp());
|
|
auto ebi =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf.rhs().getDefiningOp());
|
|
auto ear =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf2.lhs().getDefiningOp());
|
|
auto ebr =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf2.rhs().getDefiningOp());
|
|
if (!eai || !ebi || !ear || !ebr || ear.adt() != eai.adt() ||
|
|
ebr.adt() != ebi.adt() || eai.coor().size() != 1 ||
|
|
!isOne(eai.coor()[0]) || ebi.coor().size() != 1 ||
|
|
!isOne(ebi.coor()[0]) || ear.coor().size() != 1 ||
|
|
!isZero(ear.coor()[0]) || ebr.coor().size() != 1 ||
|
|
!isZero(ebr.coor()[0]))
|
|
return mlir::failure();
|
|
rewriter.replaceOpWithNewOp<CpxOp>(op, ear.adt(), ebr.adt());
|
|
return mlir::success();
|
|
}
|
|
};
|
|
|
|
void fir::InsertValueOp::getCanonicalizationPatterns(
|
|
mlir::OwningRewritePatternList &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(getFinalValueAttrName(), 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 Block{});
|
|
bodyRegion->front().addArgument(builder.getIndexType());
|
|
bodyRegion->front().addArgument(iterate.getType());
|
|
bodyRegion->front().addArguments(iterArgs.getTypes());
|
|
result.addAttributes(attributes);
|
|
}
|
|
|
|
static mlir::ParseResult parseIterWhileOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
auto &builder = parser.getBuilder();
|
|
mlir::OpAsmParser::OperandType inductionVariable, lb, ub, step;
|
|
if (parser.parseLParen() || parser.parseRegionArgument(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))
|
|
return mlir::failure();
|
|
|
|
mlir::OpAsmParser::OperandType iterateVar, iterateInput;
|
|
if (parser.parseKeyword("and") || parser.parseLParen() ||
|
|
parser.parseRegionArgument(iterateVar) || parser.parseEqual() ||
|
|
parser.parseOperand(iterateInput) || parser.parseRParen() ||
|
|
parser.resolveOperand(iterateInput, i1Type, result.operands))
|
|
return mlir::failure();
|
|
|
|
// Parse the initial iteration arguments.
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> regionArgs;
|
|
auto prependCount = false;
|
|
|
|
// Induction variable.
|
|
regionArgs.push_back(inductionVariable);
|
|
regionArgs.push_back(iterateVar);
|
|
|
|
if (succeeded(parser.parseOptionalKeyword("iter_args"))) {
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> operands;
|
|
llvm::SmallVector<mlir::Type> regionTypes;
|
|
// Parse assignment list and results type list.
|
|
if (parser.parseAssignmentList(regionArgs, operands) ||
|
|
parser.parseArrowTypeList(regionTypes))
|
|
return 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 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 failure();
|
|
// Type list must be "(index, i1)".
|
|
if (typeList.size() != 2 || !typeList[0].isa<mlir::IndexType>() ||
|
|
!typeList[1].isSignlessInteger(1))
|
|
return 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::getFinalValueAttrName(),
|
|
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");
|
|
|
|
if (parser.parseRegion(*body, regionArgs, argTypes))
|
|
return failure();
|
|
|
|
fir::IterWhileOp::ensureTerminator(*body, builder, result.location);
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::IterWhileOp op) {
|
|
// Check that the body defines as single block argument for the induction
|
|
// variable.
|
|
auto *body = op.getBody();
|
|
if (!body->getArgument(1).getType().isInteger(1))
|
|
return op.emitOpError(
|
|
"expected body second argument to be an index argument for "
|
|
"the induction variable");
|
|
if (!body->getArgument(0).getType().isIndex())
|
|
return op.emitOpError(
|
|
"expected body first argument to be an index argument for "
|
|
"the induction variable");
|
|
|
|
auto opNumResults = op.getNumResults();
|
|
if (op.finalValue()) {
|
|
// Result type must be "(index, i1, ...)".
|
|
if (!op.getResult(0).getType().isa<mlir::IndexType>())
|
|
return op.emitOpError("result #0 expected to be index");
|
|
if (!op.getResult(1).getType().isSignlessInteger(1))
|
|
return op.emitOpError("result #1 expected to be i1");
|
|
opNumResults--;
|
|
} else {
|
|
// iterate_while always returns the early exit induction value.
|
|
// Result type must be "(i1, ...)"
|
|
if (!op.getResult(0).getType().isSignlessInteger(1))
|
|
return op.emitOpError("result #0 expected to be i1");
|
|
}
|
|
if (opNumResults == 0)
|
|
return mlir::failure();
|
|
if (op.getNumIterOperands() != opNumResults)
|
|
return op.emitOpError(
|
|
"mismatch in number of loop-carried values and defined values");
|
|
if (op.getNumRegionIterArgs() != opNumResults)
|
|
return op.emitOpError(
|
|
"mismatch in number of basic block args and defined values");
|
|
auto iterOperands = op.getIterOperands();
|
|
auto iterArgs = op.getRegionIterArgs();
|
|
auto opResults =
|
|
op.finalValue() ? op.getResults().drop_front() : op.getResults();
|
|
unsigned i = 0;
|
|
for (auto e : llvm::zip(iterOperands, iterArgs, opResults)) {
|
|
if (std::get<0>(e).getType() != std::get<2>(e).getType())
|
|
return op.emitOpError() << "types mismatch between " << i
|
|
<< "th iter operand and defined value";
|
|
if (std::get<1>(e).getType() != std::get<2>(e).getType())
|
|
return op.emitOpError() << "types mismatch between " << i
|
|
<< "th iter region arg and defined value";
|
|
|
|
i++;
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::IterWhileOp op) {
|
|
p << " (" << op.getInductionVar() << " = " << op.lowerBound() << " to "
|
|
<< op.upperBound() << " step " << op.step() << ") and (";
|
|
assert(op.hasIterOperands());
|
|
auto regionArgs = op.getRegionIterArgs();
|
|
auto operands = op.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(op.getResultTypes(), op.finalValue() ? 0 : 1), p);
|
|
p << ")";
|
|
} else if (op.finalValue()) {
|
|
p << " -> (" << op.getResultTypes() << ')';
|
|
}
|
|
p.printOptionalAttrDictWithKeyword(op->getAttrs(),
|
|
{IterWhileOp::getFinalValueAttrName()});
|
|
p.printRegion(op.region(), /*printEntryBlockArgs=*/false,
|
|
/*printBlockTerminators=*/true);
|
|
}
|
|
|
|
mlir::Region &fir::IterWhileOp::getLoopBody() { return region(); }
|
|
|
|
bool fir::IterWhileOp::isDefinedOutsideOfLoop(mlir::Value value) {
|
|
return !region().isAncestor(value.getParentRegion());
|
|
}
|
|
|
|
mlir::LogicalResult
|
|
fir::IterWhileOp::moveOutOfLoop(llvm::ArrayRef<mlir::Operation *> ops) {
|
|
for (auto *op : ops)
|
|
op->moveBefore(*this);
|
|
return success();
|
|
}
|
|
|
|
mlir::BlockArgument fir::IterWhileOp::iterArgToBlockArg(mlir::Value iterArg) {
|
|
for (auto i : llvm::enumerate(initArgs()))
|
|
if (iterArg == i.value())
|
|
return region().front().getArgument(i.index() + 1);
|
|
return {};
|
|
}
|
|
|
|
void fir::IterWhileOp::resultToSourceOps(
|
|
llvm::SmallVectorImpl<mlir::Value> &results, unsigned resultNum) {
|
|
auto oper = finalValue() ? resultNum + 1 : resultNum;
|
|
auto *term = region().front().getTerminator();
|
|
if (oper < term->getNumOperands())
|
|
results.push_back(term->getOperand(oper));
|
|
}
|
|
|
|
mlir::Value fir::IterWhileOp::blockArgToSourceOp(unsigned blockArgNum) {
|
|
if (blockArgNum > 0 && blockArgNum <= initArgs().size())
|
|
return initArgs()[blockArgNum - 1];
|
|
return {};
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// LenParamIndexOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::ParseResult parseLenParamIndexOp(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::LenParamIndexOp::fieldAttrName(),
|
|
builder.getStringAttr(fieldName));
|
|
if (!recty.dyn_cast<RecordType>())
|
|
return mlir::failure();
|
|
result.addAttribute(fir::LenParamIndexOp::typeAttrName(),
|
|
mlir::TypeAttr::get(recty));
|
|
mlir::Type lenType = fir::LenType::get(builder.getContext());
|
|
if (parser.addTypeToList(lenType, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::LenParamIndexOp &op) {
|
|
p << ' '
|
|
<< op.getOperation()
|
|
->getAttrOfType<mlir::StringAttr>(
|
|
fir::LenParamIndexOp::fieldAttrName())
|
|
.getValue()
|
|
<< ", " << op.getOperation()->getAttr(fir::LenParamIndexOp::typeAttrName());
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// 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);
|
|
}
|
|
|
|
/// Get the element type of a reference like type; otherwise null
|
|
static mlir::Type elementTypeOf(mlir::Type ref) {
|
|
return llvm::TypeSwitch<mlir::Type, mlir::Type>(ref)
|
|
.Case<ReferenceType, PointerType, HeapType>(
|
|
[](auto type) { return type.getEleTy(); })
|
|
.Default([](mlir::Type) { return mlir::Type{}; });
|
|
}
|
|
|
|
mlir::ParseResult fir::LoadOp::getElementOf(mlir::Type &ele, mlir::Type ref) {
|
|
if ((ele = elementTypeOf(ref)))
|
|
return mlir::success();
|
|
return mlir::failure();
|
|
}
|
|
|
|
static mlir::ParseResult parseLoadOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::Type type;
|
|
mlir::OpAsmParser::OperandType 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();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::LoadOp &op) {
|
|
p << ' ';
|
|
p.printOperand(op.memref());
|
|
p.printOptionalAttrDict(op.getOperation()->getAttrs(), {});
|
|
p << " : " << op.memref().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(finalValueAttrName(result.name), builder.getUnitAttr());
|
|
}
|
|
for (auto v : iterArgs)
|
|
result.addTypes(v.getType());
|
|
mlir::Region *bodyRegion = result.addRegion();
|
|
bodyRegion->push_back(new Block{});
|
|
if (iterArgs.empty() && !finalCountValue)
|
|
DoLoopOp::ensureTerminator(*bodyRegion, builder, result.location);
|
|
bodyRegion->front().addArgument(builder.getIndexType());
|
|
bodyRegion->front().addArguments(iterArgs.getTypes());
|
|
if (unordered)
|
|
result.addAttribute(unorderedAttrName(result.name), builder.getUnitAttr());
|
|
result.addAttributes(attributes);
|
|
}
|
|
|
|
static mlir::ParseResult parseDoLoopOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
auto &builder = parser.getBuilder();
|
|
mlir::OpAsmParser::OperandType inductionVariable, lb, ub, step;
|
|
// Parse the induction variable followed by '='.
|
|
if (parser.parseRegionArgument(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 failure();
|
|
|
|
if (mlir::succeeded(parser.parseOptionalKeyword("unordered")))
|
|
result.addAttribute("unordered", builder.getUnitAttr());
|
|
|
|
// Parse the optional initial iteration arguments.
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> regionArgs, operands;
|
|
llvm::SmallVector<mlir::Type> argTypes;
|
|
auto 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 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 failure();
|
|
} else if (succeeded(parser.parseOptionalArrow())) {
|
|
if (parser.parseKeyword("index"))
|
|
return failure();
|
|
result.types.push_back(indexType);
|
|
prependCount = true;
|
|
}
|
|
|
|
if (parser.parseOptionalAttrDictWithKeyword(result.attributes))
|
|
return mlir::failure();
|
|
|
|
// Induction variable.
|
|
if (prependCount)
|
|
result.addAttribute(DoLoopOp::finalValueAttrName(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");
|
|
|
|
if (parser.parseRegion(*body, regionArgs, argTypes))
|
|
return 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 dyn_cast_or_null<fir::DoLoopOp>(containingInst);
|
|
}
|
|
|
|
// Lifted from loop.loop
|
|
static mlir::LogicalResult verify(fir::DoLoopOp op) {
|
|
// Check that the body defines as single block argument for the induction
|
|
// variable.
|
|
auto *body = op.getBody();
|
|
if (!body->getArgument(0).getType().isIndex())
|
|
return op.emitOpError(
|
|
"expected body first argument to be an index argument for "
|
|
"the induction variable");
|
|
|
|
auto opNumResults = op.getNumResults();
|
|
if (opNumResults == 0)
|
|
return success();
|
|
|
|
if (op.finalValue()) {
|
|
if (op.unordered())
|
|
return op.emitOpError("unordered loop has no final value");
|
|
opNumResults--;
|
|
}
|
|
if (op.getNumIterOperands() != opNumResults)
|
|
return op.emitOpError(
|
|
"mismatch in number of loop-carried values and defined values");
|
|
if (op.getNumRegionIterArgs() != opNumResults)
|
|
return op.emitOpError(
|
|
"mismatch in number of basic block args and defined values");
|
|
auto iterOperands = op.getIterOperands();
|
|
auto iterArgs = op.getRegionIterArgs();
|
|
auto opResults =
|
|
op.finalValue() ? op.getResults().drop_front() : op.getResults();
|
|
unsigned i = 0;
|
|
for (auto e : llvm::zip(iterOperands, iterArgs, opResults)) {
|
|
if (std::get<0>(e).getType() != std::get<2>(e).getType())
|
|
return op.emitOpError() << "types mismatch between " << i
|
|
<< "th iter operand and defined value";
|
|
if (std::get<1>(e).getType() != std::get<2>(e).getType())
|
|
return op.emitOpError() << "types mismatch between " << i
|
|
<< "th iter region arg and defined value";
|
|
|
|
i++;
|
|
}
|
|
return success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::DoLoopOp op) {
|
|
bool printBlockTerminators = false;
|
|
p << ' ' << op.getInductionVar() << " = " << op.lowerBound() << " to "
|
|
<< op.upperBound() << " step " << op.step();
|
|
if (op.unordered())
|
|
p << " unordered";
|
|
if (op.hasIterOperands()) {
|
|
p << " iter_args(";
|
|
auto regionArgs = op.getRegionIterArgs();
|
|
auto operands = op.getIterOperands();
|
|
llvm::interleaveComma(llvm::zip(regionArgs, operands), p, [&](auto it) {
|
|
p << std::get<0>(it) << " = " << std::get<1>(it);
|
|
});
|
|
p << ") -> (" << op.getResultTypes() << ')';
|
|
printBlockTerminators = true;
|
|
} else if (op.finalValue()) {
|
|
p << " -> " << op.getResultTypes();
|
|
printBlockTerminators = true;
|
|
}
|
|
p.printOptionalAttrDictWithKeyword(op->getAttrs(),
|
|
{"unordered", "finalValue"});
|
|
p.printRegion(op.region(), /*printEntryBlockArgs=*/false,
|
|
printBlockTerminators);
|
|
}
|
|
|
|
mlir::Region &fir::DoLoopOp::getLoopBody() { return region(); }
|
|
|
|
bool fir::DoLoopOp::isDefinedOutsideOfLoop(mlir::Value value) {
|
|
return !region().isAncestor(value.getParentRegion());
|
|
}
|
|
|
|
mlir::LogicalResult
|
|
fir::DoLoopOp::moveOutOfLoop(llvm::ArrayRef<mlir::Operation *> ops) {
|
|
for (auto op : ops)
|
|
op->moveBefore(*this);
|
|
return success();
|
|
}
|
|
|
|
/// 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(initArgs()))
|
|
if (iterArg == i.value())
|
|
return region().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 = finalValue() ? resultNum + 1 : resultNum;
|
|
auto *term = region().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 <= initArgs().size())
|
|
return initArgs()[blockArgNum - 1];
|
|
return {};
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// DTEntryOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::ParseResult parseDTEntryOp(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::getMethodAttrName(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
} else {
|
|
result.addAttribute(fir::DTEntryOp::getMethodAttrName(),
|
|
parser.getBuilder().getStringAttr(methodName));
|
|
}
|
|
mlir::SymbolRefAttr calleeAttr;
|
|
if (parser.parseComma() ||
|
|
parser.parseAttribute(calleeAttr, fir::DTEntryOp::getProcAttrName(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::DTEntryOp &op) {
|
|
p << ' ' << op.getOperation()->getAttr(fir::DTEntryOp::getMethodAttrName())
|
|
<< ", " << op.getOperation()->getAttr(fir::DTEntryOp::getProcAttrName());
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// 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;
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::ReboxOp op) {
|
|
auto inputBoxTy = op.box().getType();
|
|
if (fir::isa_unknown_size_box(inputBoxTy))
|
|
return op.emitOpError("box operand must not have unknown rank or type");
|
|
auto outBoxTy = op.getType();
|
|
if (fir::isa_unknown_size_box(outBoxTy))
|
|
return op.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 slice = op.slice()) {
|
|
// Slicing case
|
|
if (slice.getType().cast<fir::SliceType>().getRank() != inputRank)
|
|
return op.emitOpError("slice operand rank must match box operand rank");
|
|
if (auto shape = op.shape()) {
|
|
if (auto shiftTy = shape.getType().dyn_cast<fir::ShiftType>()) {
|
|
if (shiftTy.getRank() != inputRank)
|
|
return op.emitOpError("shape operand and input box ranks must match "
|
|
"when there is a slice");
|
|
} else {
|
|
return op.emitOpError("shape operand must absent or be a fir.shift "
|
|
"when there is a slice");
|
|
}
|
|
}
|
|
if (auto sliceOp = slice.getDefiningOp()) {
|
|
auto slicedRank = mlir::cast<fir::SliceOp>(sliceOp).getOutRank();
|
|
if (slicedRank != outRank)
|
|
return op.emitOpError("result type rank and rank after applying slice "
|
|
"operand must match");
|
|
}
|
|
} else {
|
|
// Reshaping case
|
|
unsigned shapeRank = inputRank;
|
|
if (auto shape = op.shape()) {
|
|
auto ty = shape.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 op.emitOpError("shape operand and input box ranks must match "
|
|
"when the shape is a fir.shift");
|
|
}
|
|
}
|
|
if (shapeRank != outRank)
|
|
return op.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.
|
|
if (!inputEleTy.isa<fir::RecordType>())
|
|
return op.emitOpError(
|
|
"op input and output element types must match for intrinsic types");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ResultOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::ResultOp op) {
|
|
auto *parentOp = op->getParentOp();
|
|
auto results = parentOp->getResults();
|
|
auto operands = op->getOperands();
|
|
|
|
if (parentOp->getNumResults() != op.getNumOperands())
|
|
return op.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 op.emitOpError()
|
|
<< "types mismatch between result op and its parent";
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SaveResultOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::SaveResultOp op) {
|
|
auto resultType = op.value().getType();
|
|
if (resultType != fir::dyn_cast_ptrEleTy(op.memref().getType()))
|
|
return op.emitOpError("value type must match memory reference type");
|
|
if (fir::isa_unknown_size_box(resultType))
|
|
return op.emitOpError("cannot save !fir.box of unknown rank or type");
|
|
|
|
if (resultType.isa<fir::BoxType>()) {
|
|
if (op.shape() || !op.typeparams().empty())
|
|
return op.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 shapeOp = op.shape()) {
|
|
auto shapeTy = shapeOp.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)
|
|
op.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)
|
|
op.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() != op.typeparams().size())
|
|
op.emitOpError("length parameters number must match with the value type "
|
|
"length parameters");
|
|
} else if (auto charTy = eleTy.dyn_cast<fir::CharacterType>()) {
|
|
if (op.typeparams().size() > 1)
|
|
op.emitOpError("no more than one length parameter must be provided for "
|
|
"character value");
|
|
} else {
|
|
if (!op.typeparams().empty())
|
|
op.emitOpError(
|
|
"length parameters must not be provided for this value type");
|
|
}
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SelectOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static constexpr llvm::StringRef getCompareOffsetAttr() {
|
|
return "compare_operand_offsets";
|
|
}
|
|
|
|
static constexpr llvm::StringRef getTargetOffsetAttr() {
|
|
return "target_operand_offsets";
|
|
}
|
|
|
|
template <typename A, typename... AdditionalArgs>
|
|
static A getSubOperands(unsigned pos, A allArgs,
|
|
mlir::DenseIntElementsAttr ranges,
|
|
AdditionalArgs &&...additionalArgs) {
|
|
unsigned start = 0;
|
|
for (unsigned i = 0; i < pos; ++i)
|
|
start += (*(ranges.begin() + i)).getZExtValue();
|
|
return allArgs.slice(start, (*(ranges.begin() + pos)).getZExtValue(),
|
|
std::forward<AdditionalArgs>(additionalArgs)...);
|
|
}
|
|
|
|
static mlir::MutableOperandRange
|
|
getMutableSuccessorOperands(unsigned pos, mlir::MutableOperandRange operands,
|
|
StringRef offsetAttr) {
|
|
Operation *owner = operands.getOwner();
|
|
NamedAttribute targetOffsetAttr =
|
|
*owner->getAttrDictionary().getNamed(offsetAttr);
|
|
return getSubOperands(
|
|
pos, operands, targetOffsetAttr.second.cast<DenseIntElementsAttr>(),
|
|
mlir::MutableOperandRange::OperandSegment(pos, targetOffsetAttr));
|
|
}
|
|
|
|
static unsigned denseElementsSize(mlir::DenseIntElementsAttr attr) {
|
|
return attr.getNumElements();
|
|
}
|
|
|
|
llvm::Optional<mlir::OperandRange> fir::SelectOp::getCompareOperands(unsigned) {
|
|
return {};
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectOp::getCompareOperands(llvm::ArrayRef<mlir::Value>, unsigned) {
|
|
return {};
|
|
}
|
|
|
|
llvm::Optional<mlir::MutableOperandRange>
|
|
fir::SelectOp::getMutableSuccessorOperands(unsigned oper) {
|
|
return ::getMutableSuccessorOperands(oper, targetArgsMutable(),
|
|
getTargetOffsetAttr());
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
|
|
unsigned oper) {
|
|
auto a =
|
|
(*this)->getAttrOfType<mlir::DenseIntElementsAttr>(getTargetOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
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::DenseIntElementsAttr>(getTargetOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getOperandSegmentSizeAttr());
|
|
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
|
|
}
|
|
|
|
unsigned fir::SelectOp::targetOffsetSize() {
|
|
return denseElementsSize((*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getTargetOffsetAttr()));
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SelectCaseOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
llvm::Optional<mlir::OperandRange>
|
|
fir::SelectCaseOp::getCompareOperands(unsigned cond) {
|
|
auto a = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getCompareOffsetAttr());
|
|
return {getSubOperands(cond, compareArgs(), a)};
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectCaseOp::getCompareOperands(llvm::ArrayRef<mlir::Value> operands,
|
|
unsigned cond) {
|
|
auto a = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getCompareOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
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::DenseIntElementsAttr>(
|
|
getCompareOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getOperandSegmentSizeAttr());
|
|
return {getSubOperands(cond, getSubOperands(1, operands, segments), a)};
|
|
}
|
|
|
|
llvm::Optional<mlir::MutableOperandRange>
|
|
fir::SelectCaseOp::getMutableSuccessorOperands(unsigned oper) {
|
|
return ::getMutableSuccessorOperands(oper, targetArgsMutable(),
|
|
getTargetOffsetAttr());
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectCaseOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
|
|
unsigned oper) {
|
|
auto a =
|
|
(*this)->getAttrOfType<mlir::DenseIntElementsAttr>(getTargetOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
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::DenseIntElementsAttr>(getTargetOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getOperandSegmentSizeAttr());
|
|
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
|
|
}
|
|
|
|
// parser for fir.select_case Op
|
|
static mlir::ParseResult parseSelectCase(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::OpAsmParser::OperandType selector;
|
|
mlir::Type type;
|
|
if (parseSelector(parser, result, selector, type))
|
|
return mlir::failure();
|
|
|
|
llvm::SmallVector<mlir::Attribute> attrs;
|
|
llvm::SmallVector<mlir::OpAsmParser::OperandType> opers;
|
|
llvm::SmallVector<mlir::Block *> dests;
|
|
llvm::SmallVector<llvm::SmallVector<mlir::Value>> destArgs;
|
|
llvm::SmallVector<int32_t> argOffs;
|
|
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::OperandType oper1;
|
|
mlir::OpAsmParser::OperandType 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::OperandType 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.getI32VectorAttr({1, offSize, toffSize}));
|
|
result.addAttribute(getCompareOffsetAttr(), bld.getI32VectorAttr(argOffs));
|
|
result.addAttribute(getTargetOffsetAttr(), bld.getI32VectorAttr(targOffs));
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::SelectCaseOp &op) {
|
|
p << ' ';
|
|
p.printOperand(op.getSelector());
|
|
p << " : " << op.getSelector().getType() << " [";
|
|
auto cases = op.getOperation()
|
|
->getAttrOfType<mlir::ArrayAttr>(op.getCasesAttr())
|
|
.getValue();
|
|
auto count = op.getNumConditions();
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
if (i)
|
|
p << ", ";
|
|
p << cases[i] << ", ";
|
|
if (!cases[i].isa<mlir::UnitAttr>()) {
|
|
auto caseArgs = *op.getCompareOperands(i);
|
|
p.printOperand(*caseArgs.begin());
|
|
p << ", ";
|
|
if (cases[i].isa<fir::ClosedIntervalAttr>()) {
|
|
p.printOperand(*(++caseArgs.begin()));
|
|
p << ", ";
|
|
}
|
|
}
|
|
op.printSuccessorAtIndex(p, i);
|
|
}
|
|
p << ']';
|
|
p.printOptionalAttrDict(op.getOperation()->getAttrs(),
|
|
{op.getCasesAttr(), getCompareOffsetAttr(),
|
|
getTargetOffsetAttr(),
|
|
op.getOperandSegmentSizeAttr()});
|
|
}
|
|
|
|
unsigned fir::SelectCaseOp::compareOffsetSize() {
|
|
return denseElementsSize((*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getCompareOffsetAttr()));
|
|
}
|
|
|
|
unsigned fir::SelectCaseOp::targetOffsetSize() {
|
|
return denseElementsSize((*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getTargetOffsetAttr()));
|
|
}
|
|
|
|
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.getI32VectorAttr(operOffs));
|
|
const auto count = destinations.size();
|
|
for (auto d : destinations)
|
|
result.addSuccessors(d);
|
|
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.getI32VectorAttr({1, operSize, sumArgs}));
|
|
result.addAttribute(getTargetOffsetAttr(), builder.getI32VectorAttr(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<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);
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::SelectCaseOp &op) {
|
|
if (!(op.getSelector().getType().isa<mlir::IntegerType>() ||
|
|
op.getSelector().getType().isa<mlir::IndexType>() ||
|
|
op.getSelector().getType().isa<fir::IntegerType>() ||
|
|
op.getSelector().getType().isa<fir::LogicalType>() ||
|
|
op.getSelector().getType().isa<fir::CharacterType>()))
|
|
return op.emitOpError("must be an integer, character, or logical");
|
|
auto cases = op.getOperation()
|
|
->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 conditions and successors don't match");
|
|
if (op.compareOffsetSize() != count)
|
|
return op.emitOpError("incorrect number of compare operand groups");
|
|
if (op.targetOffsetSize() != count)
|
|
return op.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 op.emitOpError("incorrect select case attribute type");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SelectRankOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
llvm::Optional<mlir::OperandRange>
|
|
fir::SelectRankOp::getCompareOperands(unsigned) {
|
|
return {};
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectRankOp::getCompareOperands(llvm::ArrayRef<mlir::Value>, unsigned) {
|
|
return {};
|
|
}
|
|
|
|
llvm::Optional<mlir::MutableOperandRange>
|
|
fir::SelectRankOp::getMutableSuccessorOperands(unsigned oper) {
|
|
return ::getMutableSuccessorOperands(oper, targetArgsMutable(),
|
|
getTargetOffsetAttr());
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectRankOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
|
|
unsigned oper) {
|
|
auto a =
|
|
(*this)->getAttrOfType<mlir::DenseIntElementsAttr>(getTargetOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
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::DenseIntElementsAttr>(getTargetOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getOperandSegmentSizeAttr());
|
|
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
|
|
}
|
|
|
|
unsigned fir::SelectRankOp::targetOffsetSize() {
|
|
return denseElementsSize((*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getTargetOffsetAttr()));
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// 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 {};
|
|
}
|
|
|
|
llvm::Optional<mlir::MutableOperandRange>
|
|
fir::SelectTypeOp::getMutableSuccessorOperands(unsigned oper) {
|
|
return ::getMutableSuccessorOperands(oper, targetArgsMutable(),
|
|
getTargetOffsetAttr());
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectTypeOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
|
|
unsigned oper) {
|
|
auto a =
|
|
(*this)->getAttrOfType<mlir::DenseIntElementsAttr>(getTargetOffsetAttr());
|
|
auto segments = (*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getOperandSegmentSizeAttr());
|
|
return {getSubOperands(oper, getSubOperands(2, operands, segments), a)};
|
|
}
|
|
|
|
static ParseResult parseSelectType(OpAsmParser &parser,
|
|
OperationState &result) {
|
|
mlir::OpAsmParser::OperandType selector;
|
|
mlir::Type type;
|
|
if (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.getI32VectorAttr({1, 0, offSize}));
|
|
result.addAttribute(getTargetOffsetAttr(), bld.getI32VectorAttr(argOffs));
|
|
return mlir::success();
|
|
}
|
|
|
|
unsigned fir::SelectTypeOp::targetOffsetSize() {
|
|
return denseElementsSize((*this)->getAttrOfType<mlir::DenseIntElementsAttr>(
|
|
getTargetOffsetAttr()));
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::SelectTypeOp &op) {
|
|
p << ' ';
|
|
p.printOperand(op.getSelector());
|
|
p << " : " << op.getSelector().getType() << " [";
|
|
auto cases = op.getOperation()
|
|
->getAttrOfType<mlir::ArrayAttr>(op.getCasesAttr())
|
|
.getValue();
|
|
auto count = op.getNumConditions();
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
if (i)
|
|
p << ", ";
|
|
p << cases[i] << ", ";
|
|
op.printSuccessorAtIndex(p, i);
|
|
}
|
|
p << ']';
|
|
p.printOptionalAttrDict(op.getOperation()->getAttrs(),
|
|
{op.getCasesAttr(), getCompareOffsetAttr(),
|
|
getTargetOffsetAttr(),
|
|
fir::SelectTypeOp::getOperandSegmentSizeAttr()});
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::SelectTypeOp &op) {
|
|
if (!(op.getSelector().getType().isa<fir::BoxType>()))
|
|
return op.emitOpError("must be a boxed type");
|
|
auto cases = op.getOperation()
|
|
->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 conditions and successors don't match");
|
|
if (op.targetOffsetSize() != count)
|
|
return op.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 op.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.getI32VectorAttr({1, 0, sumArgs}));
|
|
result.addAttribute(getTargetOffsetAttr(), builder.getI32VectorAttr(argOffs));
|
|
result.addAttributes(attributes);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ShapeOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::ShapeOp &op) {
|
|
auto size = op.extents().size();
|
|
auto shapeTy = op.getType().dyn_cast<fir::ShapeType>();
|
|
assert(shapeTy && "must be a shape type");
|
|
if (shapeTy.getRank() != size)
|
|
return op.emitOpError("shape type rank mismatch");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ShapeShiftOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::ShapeShiftOp &op) {
|
|
auto size = op.pairs().size();
|
|
if (size < 2 || size > 16 * 2)
|
|
return op.emitOpError("incorrect number of args");
|
|
if (size % 2 != 0)
|
|
return op.emitOpError("requires a multiple of 2 args");
|
|
auto shapeTy = op.getType().dyn_cast<fir::ShapeShiftType>();
|
|
assert(shapeTy && "must be a shape shift type");
|
|
if (shapeTy.getRank() * 2 != size)
|
|
return op.emitOpError("shape type rank mismatch");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ShiftOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::ShiftOp &op) {
|
|
auto size = op.origins().size();
|
|
auto shiftTy = op.getType().dyn_cast<fir::ShiftType>();
|
|
assert(shiftTy && "must be a shift type");
|
|
if (shiftTy.getRank() != size)
|
|
return op.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;
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::SliceOp &op) {
|
|
auto size = op.triples().size();
|
|
if (size < 3 || size > 16 * 3)
|
|
return op.emitOpError("incorrect number of args for triple");
|
|
if (size % 3 != 0)
|
|
return op.emitOpError("requires a multiple of 3 args");
|
|
auto sliceTy = op.getType().dyn_cast<fir::SliceType>();
|
|
assert(sliceTy && "must be a slice type");
|
|
if (sliceTy.getRank() * 3 != size)
|
|
return op.emitOpError("slice type rank mismatch");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// StoreOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::Type fir::StoreOp::elementType(mlir::Type refType) {
|
|
return fir::dyn_cast_ptrEleTy(refType);
|
|
}
|
|
|
|
static mlir::ParseResult parseStoreOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::Type type;
|
|
mlir::OpAsmParser::OperandType oper;
|
|
mlir::OpAsmParser::OperandType 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();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::StoreOp &op) {
|
|
p << ' ';
|
|
p.printOperand(op.value());
|
|
p << " to ";
|
|
p.printOperand(op.memref());
|
|
p.printOptionalAttrDict(op.getOperation()->getAttrs(), {});
|
|
p << " : " << op.memref().getType();
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::StoreOp &op) {
|
|
if (op.value().getType() != fir::dyn_cast_ptrEleTy(op.memref().getType()))
|
|
return op.emitOpError("store value type must match memory reference type");
|
|
if (fir::isa_unknown_size_box(op.value().getType()))
|
|
return op.emitOpError("cannot store !fir.box of unknown rank or type");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// StringLitOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
bool fir::StringLitOp::isWideValue() {
|
|
auto eleTy = getType().cast<fir::SequenceType>().getEleTy();
|
|
return eleTy.cast<fir::CharacterType>().getFKind() != 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, 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.hasValue() ? len.getValue() : 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, OperationState &result,
|
|
fir::CharacterType inType,
|
|
llvm::ArrayRef<char> vlist,
|
|
llvm::Optional<int64_t> len) {
|
|
auto valAttr =
|
|
builder.getNamedAttr(xlist(), convertToArrayAttr(builder, vlist));
|
|
std::int64_t length = len.hasValue() ? len.getValue() : inType.getLen();
|
|
auto lenAttr = mkNamedIntegerAttr(builder, size(), length);
|
|
result.addAttributes({valAttr, lenAttr});
|
|
result.addTypes(inType);
|
|
}
|
|
|
|
void fir::StringLitOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
fir::CharacterType inType,
|
|
llvm::ArrayRef<char16_t> vlist,
|
|
llvm::Optional<int64_t> len) {
|
|
auto valAttr =
|
|
builder.getNamedAttr(xlist(), convertToArrayAttr(builder, vlist));
|
|
std::int64_t length = len.hasValue() ? len.getValue() : inType.getLen();
|
|
auto lenAttr = mkNamedIntegerAttr(builder, size(), length);
|
|
result.addAttributes({valAttr, lenAttr});
|
|
result.addTypes(inType);
|
|
}
|
|
|
|
void fir::StringLitOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
fir::CharacterType inType,
|
|
llvm::ArrayRef<char32_t> vlist,
|
|
llvm::Optional<int64_t> len) {
|
|
auto valAttr =
|
|
builder.getNamedAttr(xlist(), convertToArrayAttr(builder, vlist));
|
|
std::int64_t length = len.hasValue() ? len.getValue() : inType.getLen();
|
|
auto lenAttr = mkNamedIntegerAttr(builder, size(), length);
|
|
result.addAttributes({valAttr, lenAttr});
|
|
result.addTypes(inType);
|
|
}
|
|
|
|
static mlir::ParseResult parseStringLitOp(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::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();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::StringLitOp &op) {
|
|
p << ' ' << op.getValue() << '(';
|
|
p << op.getSize().cast<mlir::IntegerAttr>().getValue() << ") : ";
|
|
p.printType(op.getType());
|
|
}
|
|
|
|
static mlir::LogicalResult verify(fir::StringLitOp &op) {
|
|
if (op.getSize().cast<mlir::IntegerAttr>().getValue().isNegative())
|
|
return op.emitOpError("size must be non-negative");
|
|
if (auto xl = op.getOperation()->getAttr(fir::StringLitOp::xlist())) {
|
|
auto xList = xl.cast<mlir::ArrayAttr>();
|
|
for (auto a : xList)
|
|
if (!a.isa<mlir::IntegerAttr>())
|
|
return op.emitOpError("values in list must be integers");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// UnboxProcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static mlir::LogicalResult verify(fir::UnboxProcOp &op) {
|
|
if (auto eleTy = fir::dyn_cast_ptrEleTy(op.refTuple().getType()))
|
|
if (eleTy.isa<mlir::TupleType>())
|
|
return mlir::success();
|
|
return op.emitOpError("second output argument has bad type");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// IfOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::IfOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
mlir::Value cond, bool withElseRegion) {
|
|
build(builder, result, llvm::None, cond, withElseRegion);
|
|
}
|
|
|
|
void fir::IfOp::build(mlir::OpBuilder &builder, 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);
|
|
}
|
|
}
|
|
|
|
static mlir::ParseResult parseIfOp(OpAsmParser &parser,
|
|
OperationState &result) {
|
|
result.regions.reserve(2);
|
|
mlir::Region *thenRegion = result.addRegion();
|
|
mlir::Region *elseRegion = result.addRegion();
|
|
|
|
auto &builder = parser.getBuilder();
|
|
OpAsmParser::OperandType 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();
|
|
IfOp::ensureTerminator(*thenRegion, parser.getBuilder(), result.location);
|
|
|
|
if (mlir::succeeded(parser.parseOptionalKeyword("else"))) {
|
|
if (parser.parseRegion(*elseRegion, {}, {}))
|
|
return mlir::failure();
|
|
IfOp::ensureTerminator(*elseRegion, parser.getBuilder(), result.location);
|
|
}
|
|
|
|
// Parse the optional attribute list.
|
|
if (parser.parseOptionalAttrDict(result.attributes))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
static LogicalResult verify(fir::IfOp op) {
|
|
if (op.getNumResults() != 0 && op.elseRegion().empty())
|
|
return op.emitOpError("must have an else block if defining values");
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
static void print(mlir::OpAsmPrinter &p, fir::IfOp op) {
|
|
bool printBlockTerminators = false;
|
|
p << ' ' << op.condition();
|
|
if (!op.results().empty()) {
|
|
p << " -> (" << op.getResultTypes() << ')';
|
|
printBlockTerminators = true;
|
|
}
|
|
p.printRegion(op.thenRegion(), /*printEntryBlockArgs=*/false,
|
|
printBlockTerminators);
|
|
|
|
// Print the 'else' regions if it exists and has a block.
|
|
auto &otherReg = op.elseRegion();
|
|
if (!otherReg.empty()) {
|
|
p << " else";
|
|
p.printRegion(otherReg, /*printEntryBlockArgs=*/false,
|
|
printBlockTerminators);
|
|
}
|
|
p.printOptionalAttrDict(op->getAttrs());
|
|
}
|
|
|
|
void fir::IfOp::resultToSourceOps(llvm::SmallVectorImpl<mlir::Value> &results,
|
|
unsigned resultNum) {
|
|
auto *term = thenRegion().front().getTerminator();
|
|
if (resultNum < term->getNumOperands())
|
|
results.push_back(term->getOperand(resultNum));
|
|
term = elseRegion().front().getTerminator();
|
|
if (resultNum < term->getNumOperands())
|
|
results.push_back(term->getOperand(resultNum));
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::ParseResult fir::isValidCaseAttr(mlir::Attribute attr) {
|
|
if (attr.dyn_cast_or_null<mlir::UnitAttr>() ||
|
|
attr.dyn_cast_or_null<ClosedIntervalAttr>() ||
|
|
attr.dyn_cast_or_null<PointIntervalAttr>() ||
|
|
attr.dyn_cast_or_null<LowerBoundAttr>() ||
|
|
attr.dyn_cast_or_null<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<ClosedIntervalAttr>())
|
|
++o;
|
|
}
|
|
}
|
|
return o;
|
|
}
|
|
|
|
mlir::ParseResult fir::parseSelector(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result,
|
|
mlir::OpAsmParser::OperandType &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();
|
|
}
|
|
|
|
/// Generic pretty-printer of a binary operation
|
|
static void printBinaryOp(Operation *op, OpAsmPrinter &p) {
|
|
assert(op->getNumOperands() == 2 && "binary op must have two operands");
|
|
assert(op->getNumResults() == 1 && "binary op must have one result");
|
|
|
|
p << ' ' << op->getOperand(0) << ", " << op->getOperand(1);
|
|
p.printOptionalAttrDict(op->getAttrs());
|
|
p << " : " << op->getResult(0).getType();
|
|
}
|
|
|
|
/// Generic pretty-printer of an unary operation
|
|
static void printUnaryOp(Operation *op, OpAsmPrinter &p) {
|
|
assert(op->getNumOperands() == 1 && "unary op must have one operand");
|
|
assert(op->getNumResults() == 1 && "unary op must have one result");
|
|
|
|
p << ' ' << op->getOperand(0);
|
|
p.printOptionalAttrDict(op->getAttrs());
|
|
p << " : " << op->getResult(0).getType();
|
|
}
|
|
|
|
bool fir::isReferenceLike(mlir::Type type) {
|
|
return type.isa<fir::ReferenceType>() || type.isa<fir::HeapType>() ||
|
|
type.isa<fir::PointerType>();
|
|
}
|
|
|
|
mlir::FuncOp fir::createFuncOp(mlir::Location loc, mlir::ModuleOp module,
|
|
StringRef name, mlir::FunctionType type,
|
|
llvm::ArrayRef<mlir::NamedAttribute> attrs) {
|
|
if (auto f = module.lookupSymbol<mlir::FuncOp>(name))
|
|
return f;
|
|
mlir::OpBuilder modBuilder(module.getBodyRegion());
|
|
modBuilder.setInsertionPointToEnd(module.getBody());
|
|
auto result = modBuilder.create<mlir::FuncOp>(loc, name, type, attrs);
|
|
result.setVisibility(mlir::SymbolTable::Visibility::Private);
|
|
return result;
|
|
}
|
|
|
|
fir::GlobalOp fir::createGlobalOp(mlir::Location loc, mlir::ModuleOp module,
|
|
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::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.memref();
|
|
// 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::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.symbol()))
|
|
return globalOp->hasAttr(attributeName);
|
|
}
|
|
}
|
|
// TODO: Construct associated entities attributes. Decide where the fir
|
|
// attributes must be placed/looked for in this case.
|
|
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) {
|
|
if (fir::isa_integer((*i++).getType()))
|
|
return ty.getElementType();
|
|
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"
|